From 99b6508073a35d07028fc7b6fc1f0184cf4dea2a Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Fri, 7 Sep 2018 15:28:26 -0400 Subject: [PATCH 01/78] minor updates to README --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 7c8c219..f2402be 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ Course topics include: ## Instructor * Luke Thompson, Ph.D. -* Lecturer at Scripps Institution of Oceanography, Research Associate at NOAA +* Lecturer at Scripps Institution of Oceanography, Assistant Professor at NOAA Northern Gulf Institute * Email: luke@ucsd.edu, luke.thompson@noaa.gov * Pages: [GitHub](https://github.com/cuttlefishh), [Google Scholar](https://scholar.google.com/citations?user=kggNWsMAAAAJ), [NOAA profile + CV](https://swfsc.noaa.gov/staff.aspx?id=22360) @@ -128,7 +128,7 @@ The course consists of 20 lessons. It was originally taught as 2 lessons per wee Lessons 1-3 will be an introduction to the command line. By the end of this tutorial, everyone will be familiar with basic Unix commands. -Lessons 4-9 will be an introduction to programming using Python. The main text will be Shaw's _Learn Python 3 the Hard Way_. For those with experience in a programming language other than Python, Lutz's _Learning Python_ will provide a more thorough introduction to programming Python. We will learn to use IPython and IPython Notebooks (also called Jupyter), a much richer Python experience than the Unix command line or Python interpreter. +Lessons 4-9 will be an introduction to programming using Python. The main text will be Shaw's _Learn Python 3 the Hard Way_. For those with experience in a programming language other than Python, Lutz's _Learning Python_ will provide a more thorough introduction to programming Python. We will learn to use IPython and IPython Notebooks (also called Jupyter Notebooks), a much richer Python experience than the Unix command line or Python interpreter. Lessons 10-18 will focus on Python packages for data analysis. We will work through McKinney's _Python for Data Analysis_, which is all about analyzing data, doing statistics, and making pretty plots. You may find that Python can emulate or exceed much of the functionality of R and MATLAB. From ad6918bef59a86bc35e13d4218ff2f0bd9eee3f4 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Mon, 24 Sep 2018 12:29:07 -0700 Subject: [PATCH 02/78] adding grading info to README --- README.md | 133 ++++++++---------------------------------------------- 1 file changed, 18 insertions(+), 115 deletions(-) diff --git a/README.md b/README.md index f2402be..4e69df9 100644 --- a/README.md +++ b/README.md @@ -27,19 +27,16 @@ Course topics include: * Luke Thompson, Ph.D. * Lecturer at Scripps Institution of Oceanography, Assistant Professor at NOAA Northern Gulf Institute * Email: luke@ucsd.edu, luke.thompson@noaa.gov -* Pages: [GitHub](https://github.com/cuttlefishh), [Google Scholar](https://scholar.google.com/citations?user=kggNWsMAAAAJ), [NOAA profile + CV](https://swfsc.noaa.gov/staff.aspx?id=22360) - - ## Online Content @@ -95,15 +92,15 @@ Note: O'Reilly Media titles are free to UCSD affiliates with [Safari Books Onlin * When you get stuck, get more information. * Try to solve it yourself first. -## Assignments +## Assignments and Grading -### Weekly assignments +### Weekly Assignments -Weekly take-home assignments will follow the course schedule, reinforcing skills with exercises to analyze and visualize scientific data. Assignments will given out on Thursdays and will be due the following Thursday, using TritonEd. +Weekly take-home assignments will follow the course schedule, reinforcing skills with exercises to analyze and visualize scientific data. Assignments will given out on Thursdays and will be due the following Thursday, using TritonEd. Assignments are worth 8 points each and will be graded on effort, completeness, and accuracy. ### Final Project -You will choose a data set of your own or provided in one of the texts and write a Python program (or set of Python programs or mixture of .ipynb and .py/.sh scripts) to carry out a revealing data analysis. Have a look at Shaw Ex43-52 and McKinney Ch10-12 for more ideas. +You will choose a data set of your own or provided in one of the texts and write a Python program (or set of Python programs or mixture of .ipynb and .py/.sh scripts) to carry out a revealing data analysis. Have a look at Shaw Ex43-52 and McKinney Ch10-12 for more ideas. The final project is worth 20 points and will be graded on effort, creativity, and fulfillment of the requirements below. Requirements: @@ -118,7 +115,15 @@ Requirements: * Optional: Create user-defined modules and classes for use in your code. * Optional: Share your code on GitHub. -Note: There are no midterm or final exams. +### Grading + +There are 100 points total for the quarter: + +* Assignments: 72 points (9 assignments x 8 points each) +* Final project: 20 points +* Participation: 8 points + +There are no midterm or final exams. ## Schedule Overview @@ -157,110 +162,8 @@ Lesson | Title | Readings | Topics | Assignment [14](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson14.ipynb) | Plotting with Seaborn | [Seaborn Tutorial](http://seaborn.pydata.org/tutorial.html) | Seaborn tutorial from Michael Waskom | Assignment 7: Plotting [15](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson15.ipynb) | Pandas Time Series | McKinney: [Ch11](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/time-series/timeseries_html) | Time series data in Pandas | -- [16](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson16.ipynb) | Pandas Group Operations | McKinney: [Ch10](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/data-aggregation-and-group-operations/groupby_html) | `groupby`, `melt`, `pivot`, `inplace=True`, `reindex` | Assignment 8: Time Series and Group Operations -[17](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson17.ipynb) | Statistics Packages | [Handbook of Biological Statistics](http://www.biostathandbook.com) | Statitics capabilities of Pandas, Numpy, Scipy, and Scikit-bio | -- +[17](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson17.ipynb) | Statistics Packages | [Handbook of Biological Statistics](http://www.biostathandbook.com) | Statistics capabilities of Pandas, Numpy, Scipy, and Scikit-bio | -- [18](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson18.ipynb) | Interactive Visualization with Bokeh | [Bokeh User Guide](http://bokeh.pydata.org/en/latest/docs/user_guide.html) | Quickstart guide to making interactive HTML and notebook plots with Bokeh | Assignment 9: Statistics and Interactive Visualization [19](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson19.ipynb) | Modules and Classes | Shaw: [Ex40-52](https://learnpythonthehardway.org/python3/ex40.html) | Packaging your code so you and others can use it again | -- [20](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson20.md) | Git and GitHub | [GitHub Guides](https://guides.github.com) | Sharing your code in a public GitHub repository | Final Project - - - From 2b9ec0ae8ad6ef2d06af6b272ae1250f12ecbe69 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Mon, 24 Sep 2018 12:45:48 -0700 Subject: [PATCH 03/78] minor updates to README --- README.md | 19 ++++++++----------- 1 file changed, 8 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index 4e69df9..70f88d5 100644 --- a/README.md +++ b/README.md @@ -6,13 +6,13 @@ Quick links: [πŸ“ lessons](https://github.com/cuttlefishh/python-for-data-analy Software covered: +* Python 3 * IPython environment and Jupyter notebooks * Conda for package management and virtual environments -* Python 3 Course topics include: -* Introduction to/review of the command line +* The UNIX command line * Fundamentals of Python and its data types * Data analysis packages Numpy and Pandas * Plotting packages Matplotlib and Seaborn @@ -28,7 +28,7 @@ Course topics include: * Lecturer at Scripps Institution of Oceanography, Assistant Professor at NOAA Northern Gulf Institute * Email: luke@ucsd.edu, luke.thompson@noaa.gov * Office hours by appointment -* Pages: [GitHub](https://github.com/cuttlefishh), [Google Scholar](https://scholar.google.com/citations?user=kggNWsMAAAAJ), [NOAA profile + CV](https://swfsc.noaa.gov/staff.aspx?id=22360) +* Pages: [GitHub](https://github.com/cuttlefishh), [Google Scholar](https://scholar.google.com/citations?user=kggNWsMAAAAJ), [NOAA profile](https://swfsc.noaa.gov/staff.aspx?id=22360) ## Meetings @@ -49,7 +49,7 @@ Course topics include: * [_Learning Python_](http://proquest.safaribooksonline.com/book/programming/python/9781449355722) 3rd Edition by Mark Lutz (O'Reilly) -- Optional; more traditional introduction to Python as a computer language. * [_Python for Data Analysis_](http://proquest.safaribooksonline.com/book/programming/python/9781491957653) 2nd Edition by Wes McKinney (O'Reilly) -- Manual focused on Pandas, the popular Python package for data analysis, by its creator. GitHub page: . -Note: O'Reilly Media titles are free to UCSD affiliates with [Safari Books Online](http://proquest.safaribooksonline.com/?uicode=ucsd). +*O'Reilly Media titles are free to UCSD affiliates with [Safari Books Online](http://proquest.safaribooksonline.com/?uicode=ucsd).* ## Additional Materials @@ -117,19 +117,17 @@ Requirements: ### Grading -There are 100 points total for the quarter: +There are 100 points total possible for the course: * Assignments: 72 points (9 assignments x 8 points each) * Final project: 20 points * Participation: 8 points -There are no midterm or final exams. +*There are no midterm or final exams.* ## Schedule Overview -_Schedule is subject to change._ - -The course consists of 20 lessons. It was originally taught as 2 lessons per week for 10 weeks, but the material can be covered at any pace. +The course consists of 20 lessons. As a class, it is taught as two lessons per week for 10 weeks, but the material can be covered at any pace. Lessons 1-3 will be an introduction to the command line. By the end of this tutorial, everyone will be familiar with basic Unix commands. @@ -141,8 +139,7 @@ Lessons 19-20 conclude the course with two skills useful in developing code: wri ## Lesson Schedule -* Course material is available as .md or .ipynb files by clicking on the lesson number below. -* In addition to doing the readings, please follow along writing code (this is integral to the Shaw readings), and do any Study Drills (Shaw) and Chapter Quizzes (Lutz). +Lessons are available as .md or .ipynb files by clicking on the lesson numbers below. Readings should be completed while typing out the code (this is integral to the Shaw readings) and doing any Study Drills (Shaw) and Chapter Quizzes (Lutz). Lesson | Title | Readings | Topics | Assignment ----- | ----- | ----- | ----- | ----- From 15269083dca6cb7a248b418ed0dbc2dc6bb38007 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Mon, 24 Sep 2018 15:04:41 -0700 Subject: [PATCH 04/78] minor updates to README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 70f88d5..41e8340 100644 --- a/README.md +++ b/README.md @@ -123,7 +123,7 @@ There are 100 points total possible for the course: * Final project: 20 points * Participation: 8 points -*There are no midterm or final exams.* +Participation is based on completing the pre-course survey, showing up to class (when you are able), and completing the course evaluation (this is on the honor system as I won't know who completes it). There are no midterm or final exams. ## Schedule Overview From 2a03c0bfe2e65313daeace37a1c74abbdb6cfb0d Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Sun, 30 Sep 2018 21:36:13 -0700 Subject: [PATCH 05/78] update to course philosopy --- README.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 41e8340..d9b9bf6 100644 --- a/README.md +++ b/README.md @@ -82,10 +82,11 @@ Course topics include: ## Course Philosophy -1. Just like anything else, you learn Python by doing. With a few exceptions, you're not going to break your computer by trying new commands. So just try it and see what happens. Print output of commands. Print values of variables. Kick the thing until it works. -2. When you don't know how to do something, google it. You'll be amazed by the solutions you'll find to do _thing x_ if you google "python thing x". -3. Learn keyboard shortcuts, as many as you can. Tab-complete in the shell and IPython/Jupyter! -4. Remember Zed's sage wisdom: +1. You learn Python by doing, just like anything else. With a few exceptions, you're not going to break your computer by trying new commands. So just try it and see what happens. Print output of commands. Print values of variables. Kick the thing until it works. +2. Resist the urge to get frustrated and blame the computer when your code doesn't run. Computers are deterministic machines; it's almost always your fault. But that's OK! Your computer will give you error messages that describe what went wrong. Read them and try to understand them. +3. When you don't know how to do something, google it. You'll be amazed by the solutions you'll find to do _thing x_ if you google "python thing x". +4. Learn keyboard shortcuts, as many as you can. Tab-complete in the shell and IPython/Jupyter! +5. Remember Zed's sage wisdom: * Practice every day. * Don't over-do it. Slow and steady wins the race. * It's alright to be totally lost at first. From 34d83709d85532bef0095ff925ed55eaad28adc7 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Mon, 1 Oct 2018 13:02:23 -0700 Subject: [PATCH 06/78] minor edit --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index d9b9bf6..492443c 100644 --- a/README.md +++ b/README.md @@ -26,7 +26,7 @@ Course topics include: * Luke Thompson, Ph.D. * Lecturer at Scripps Institution of Oceanography, Assistant Professor at NOAA Northern Gulf Institute -* Email: luke@ucsd.edu, luke.thompson@noaa.gov +* Email: luke@ucsd.edu * Office hours by appointment * Pages: [GitHub](https://github.com/cuttlefishh), [Google Scholar](https://scholar.google.com/citations?user=kggNWsMAAAAJ), [NOAA profile](https://swfsc.noaa.gov/staff.aspx?id=22360) From 94f3ad1763695ffe8f22bf183b273619ad5d84d0 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 2 Oct 2018 17:43:24 -0700 Subject: [PATCH 07/78] updates for Windows users --- lessons/lesson02.md | 85 +++++++++++++++++-------------- lessons/lesson03.md | 110 +++++++++++++++++++++-------------------- lessons/lesson04.ipynb | 6 +-- 3 files changed, 107 insertions(+), 94 deletions(-) diff --git a/lessons/lesson02.md b/lessons/lesson02.md index c6532ee..436ded3 100644 --- a/lessons/lesson02.md +++ b/lessons/lesson02.md @@ -1,6 +1,8 @@ ## Lesson 2 - Command Line Part I -Skills you will learn in this lesson: +### Overview + +#### Skills you will learn in this lesson * Moving between directories * Absolute and relative paths @@ -10,55 +12,64 @@ Skills you will learn in this lesson: * GUI and command-line text editors * Setting up your bash environment +#### A note about operating systems + +This tutorial works best if you are using the Bash shell. Linux and macOS come standard with Bash, which you can access in the Terminal application. Windows PowerShell uses the .NET framework, which is not Bash. For Windows users, you have several options: + +1. Best option: Install [Git Bash](https://gitforwindows.org) and use the Bash shell that comes with it. This is fast. +2. Next best option: Install a Linux virtual machine like [VirtualBox](https://www.virtualbox.org) and use the Terminal that comes with it. This takes more time but gives you access to a virtual Linux machine on your PC. +3. Last resort: Use Windows PowerShell. This has some functionality, as you saw in Appendix A of Shaw. But many of the commands below will not work, including `cd` (by itself), `cd -`, `touch`, `cat` (try `type` or a text editor), `head`, `tail`, and others. + ### Basic commands #### Moving between directories -* `pwd` -- print working directory -* `ls` -- list contents of working directory -* `cd DIRECTORY` -- change to directory -* `cd` -- change to home directory -* `cd -` -- change to previous directory +* `pwd` β€” print working directory +* `ls` β€” list contents of working directory +* `cd DIRECTORY` β€” change to directory +* `cd ~` or `cd` β€” change to home directory +* `cd -` β€” change to previous directory #### Absolute and relative paths -* `.` -- current directory -* `..` -- one directory up -* `../..` -- two directories up -* `/` -- root directory -* `~` -- home directory +* `.` β€” current directory +* `..` β€” one directory up +* `../..` β€” two directories up +* `/` β€” root directory +* `~` β€” home directory #### Creating, moving, and removing files and directories -* `mkdir DIRECTORY` -- make directory -* `rmdir DIRECTORY` -- remove empty directory -* `touch FILE` -- create an empty file or change file modification time -* `cat FILE` -- print contents of file -* `cat > FILE` -- write to file -* `cat >> FILE` -- append to file -* `cp FILE1 FILE2` -- copy file -* `mv FILE1 FILE2` -- move file -* `rm FILE` -- remove file -* `ln -s FILE LINK` -- make a symbolic link +* `mkdir DIRECTORY` β€” make directory +* `rmdir DIRECTORY` β€” remove empty directory +* `touch FILE` β€” create an empty file or change file modification time +* `cat FILE` β€” print contents of file +* `cat FILE1 FILE2 > FILE3` β€” combine two files into third file +* `cat > FILE` β€” write to file +* `cat >> FILE` β€” append to file +* `cp FILE1 FILE2` β€” copy file +* `mv FILE1 FILE2` β€” move file +* `rm FILE` β€” remove file +* `ln -s FILE LINK` β€” make a symbolic link #### Investigating text files -* `less FILE` -- view a text file -* `head FILE` -- first 10 lines of file -* `tail FILE` -- last 10 lines of file -* `wc FILE` -- count the words and characters in a file -* `open FILE` -- open a file using default program (on a Mac) -* `file FILE` -- get the file type for file(s) -* `grep REGEX FILE` -- search a text file for a string or regular expression +* `less FILE` β€” view a text file +* `head FILE` β€” first 10 lines of file +* `tail FILE` β€” last 10 lines of file +* `wc FILE` β€” count the words and characters in a file +* `open FILE` β€” open a file using default program (on a Mac) +* `file FILE` β€” get the file type for file(s) +* `grep REGEX FILE` β€” search a text file for a string or regular expression #### Working with commands and processes -* `man COMMAND` -- display manual page of command if it exists -* `help COMMAND` -- display help description of command if it exists -* `which COMMAND` -- show location of command -* `history` -- display past commands -* `top` -- display current processes -* `exit` -- close the current session +* `man COMMAND` β€” display manual page of command if it exists +* `help COMMAND` β€” display help description of command if it exists +* `which COMMAND` β€” show location of command +* `history` β€” display past commands +* `top` β€” display current processes +* `exit` β€” close the current session ### Text editors @@ -72,9 +83,9 @@ A great way to document your work is using Markdown, a simple markup style. It i For small jobs or if you want to stay inside the terminal, there are other useful programs. Note: `cat` is only useful for creating very basic files, or starting files and finishing them in a proper text editor. -* `nano FILE` -- nano is the most basic text editor (see Appendix: The Nano Text Editor at end of this lesson) -* `emacs FILE` -- emacs is a popular full-featured text editor controlled by keystrokes -* `vim FILE` -- vim or vi is a popular competitor to emacs that loads faster +* `nano FILE` β€” nano is the most basic text editor (see Appendix: The Nano Text Editor at end of this lesson) +* `emacs FILE` β€” emacs is a popular full-featured text editor controlled by keystrokes +* `vim FILE` β€” vim or vi is a popular competitor to emacs that loads faster ### Setting up your bash environment diff --git a/lessons/lesson03.md b/lessons/lesson03.md index 093b80e..764f249 100644 --- a/lessons/lesson03.md +++ b/lessons/lesson03.md @@ -1,6 +1,8 @@ ## Lesson 3 - Command Line Part II -Skills you will learn in this lesson: +### Overview + +#### Skills you will learn in this lesson * Bash variables and commands * Executing bash scripts and dot-files @@ -14,18 +16,18 @@ Skills you will learn in this lesson: #### Bash variables and commands -* `A=0` -- assign a variable -* `echo VARIABLE` -- output the value of a variable or expression -* `$PATH` -- your path variable -* `$SHELL` -- your current shell -* `$RANDOM` -- a random number -* `$PPID` -- process ID -* `$HOME` -- your home directory (another name for `~` or `/Users/you`) +* `A=0` β€” assign a variable +* `echo VARIABLE` β€” output the value of a variable or expression +* `$PATH` β€” your path variable +* `$SHELL` β€” your current shell +* `$RANDOM` β€” a random number +* `$PPID` β€” process ID +* `$HOME` β€” your home directory (another name for `~` or `/Users/you`) #### Loops and logic -* `for/do/done` -- for loop -* `if/then/else/fi` -- if/then statement +* `for/do/done` β€” for loop +* `if/then/else/fi` β€” if/then statement ``` for i in {1..3} @@ -42,8 +44,8 @@ fi #### Executing bash scripts and dot-files -* `bash SCRIPT.sh` -- run a bash shell script -* `source .DOTFILE` -- run a dot-file like your .bash_profile +* `bash SCRIPT.sh` β€” run a bash shell script +* `source .DOTFILE` β€” run a dot-file like your .bash_profile Any of the commands we have used from the command line (the bash prompt `$`) can also be typed into a text file and executed by typing `bash SCRIPT.sh` from the command line. @@ -51,24 +53,24 @@ Any of the commands we have used from the command line (the bash prompt `$`) can #### Parsing files -* `cut -d "," -f 5- FILE` -- output 5th field through end using comma field delimiter -* `sed 's/FIND/REPLACE/g'` -- replace text in a file -* `perl --e 's/FIND/REPLACE/g'` -- run perl commands in the command line (advanced) +* `cut -d "," -f 5- FILE` β€” output 5th field through end using comma field delimiter +* `sed 's/FIND/REPLACE/g'` β€” replace text in a file +* `perl -e 's/FIND/REPLACE/g'` β€” run perl commands in the command line (advanced) #### Working with input and output -* `|` -- pipe output from one command to another (e.g., `sort | uniq`) -* `>` -- redirect (write) to file -* `<` -- get output of file (other type of redirect) -* `` `COMMAND` `` -- pass output of a command (e.g., in a for loop) +* `|` β€” pipe output from one command to another (e.g., `sort | uniq`) +* `>` β€” redirect (write) to file +* `<` β€” get output of file (other type of redirect) +* `` `COMMAND` `` β€” pass output of a command (e.g., in a for loop) #### Wildcards and brace expansion -* `?` -- match any single character -* `*` -- match any string of characters -* `[set]` -- match any character in set -* `[!set]` -- match any character *not* in set -* `{start..end}` -- expand a range; e.g., `b{ed,olt,ar}s`, `{2..5}`, `{d..h}` +* `?` β€” match any single character +* `*` β€” match any string of characters +* `[set]` β€” match any character in set +* `[!set]` β€” match any character *not* in set +* `{start..end}` β€” expand a range; e.g., `b{ed,olt,ar}s`, `{2..5}`, `{d..h}` ### Control keys @@ -92,59 +94,59 @@ set -o emacs #### Working with processes -* `Ctrl+C` -- Interrupt (kill) the current foreground process running in in the terminal. This sends the SIGINT signal to the process, which is technically just a requestβ€”most processes will honor it, but some may ignore it. -* `Ctrl+Z` -- Suspend the current foreground process running in bash. This sends the SIGTSTP signal to the process. Type `bg` to send the process to the background (similar to typing `&` at the end of the command). To return the process to the foreground later, use the `fg process_name` command. -* `Ctrl+D` -- Close the bash shell. This sends an EOF (End-of-file) marker to bash, and bash exits when it receives this marker. This is similar to running the `exit` command. +* `Ctrl+C` β€” Interrupt (kill) the current foreground process running in in the terminal. This sends the SIGINT signal to the process, which is technically just a requestβ€”most processes will honor it, but some may ignore it. +* `Ctrl+Z` β€” Suspend the current foreground process running in bash. This sends the SIGTSTP signal to the process. Type `bg` to send the process to the background (similar to typing `&` at the end of the command). To return the process to the foreground later, use the `fg process_name` command. +* `Ctrl+D` β€” Close the bash shell. This sends an EOF (End-of-file) marker to bash, and bash exits when it receives this marker. This is similar to running the `exit` command. #### Controlling the screen -* `Ctrl+L` -- Clear the screen. This is similar to running the `clear` command. -* `Ctrl+S` -- Stop all output to the screen. This is particularly useful when running commands with a lot of long, verbose output, but you don’t want to stop the command itself with Ctrl+C. -* `Ctrl+Q` -- Resume output to the screen after stopping it with Ctrl+S. +* `Ctrl+L` β€” Clear the screen. This is similar to running the `clear` command. +* `Ctrl+S` β€” Stop all output to the screen. This is particularly useful when running commands with a lot of long, verbose output, but you don’t want to stop the command itself with Ctrl+C. +* `Ctrl+Q` β€” Resume output to the screen after stopping it with Ctrl+S. #### Moving the cursor -* `Ctrl+A` or `Home` -- Go to the beginning of the line. -* `Ctrl+E` or `End` -- Go to the end of the line. -* `Alt+B` -- Go left (back) one word. -* `Ctrl+B` -- Go left (back) one character. -* `Alt+F` -- Go right (forward) one word. -* `Ctrl+F` -- Go right (forward) one character. -* `Ctrl+XX` -- Move between the beginning of the line and the current position of the cursor. This allows you to press Ctrl+XX to return to the start of the line, change something, and then press Ctrl+XX to go back to your original cursor position. To use this shortcut, hold the Ctrl key and tap the X key twice. +* `Ctrl+A` or `Home` β€” Go to the beginning of the line. +* `Ctrl+E` or `End` β€” Go to the end of the line. +* `Alt+B` β€” Go left (back) one word. +* `Ctrl+B` β€” Go left (back) one character. +* `Alt+F` β€” Go right (forward) one word. +* `Ctrl+F` β€” Go right (forward) one character. +* `Ctrl+XX` β€” Move between the beginning of the line and the current position of the cursor. This allows you to press Ctrl+XX to return to the start of the line, change something, and then press Ctrl+XX to go back to your original cursor position. To use this shortcut, hold the Ctrl key and tap the X key twice. #### Deleting Text -* `Ctrl+D` or `Delete` -- Delete the character under the cursor. -* `Alt+D` -- Delete all characters after the cursor on the current line. -* `Ctrl+H` or `Backspace` -- Delete the character before the cursor. +* `Ctrl+D` or `Delete` β€” Delete the character under the cursor. +* `Alt+D` β€” Delete all characters after the cursor on the current line. +* `Ctrl+H` or `Backspace` β€” Delete the character before the cursor. #### Fixing Typos -* `Alt+T` -- Swap the current word with the previous word. -* `Ctrl+T` -- Swap the last two characters before the cursor with each other. You can use this to quickly fix typos when you type two characters in the wrong order. -* `Ctrl+_` -- Undo your last key press. You can repeat this to undo multiple times. +* `Alt+T` β€” Swap the current word with the previous word. +* `Ctrl+T` β€” Swap the last two characters before the cursor with each other. You can use this to quickly fix typos when you type two characters in the wrong order. +* `Ctrl+_` β€” Undo your last key press. You can repeat this to undo multiple times. #### Cutting and pasting -* `Ctrl+W` -- Cut the word before the cursor, adding it to the clipboard. -* `Ctrl+K` -- Cut the part of the line after the cursor, adding it to the clipboard. -* `Ctrl+U` -- Cut the part of the line before the cursor, adding it to the clipboard. -* `Ctrl+Y` -- Paste the last thing you cut from the clipboard. The y here stands for β€œyank”. +* `Ctrl+W` β€” Cut the word before the cursor, adding it to the clipboard. +* `Ctrl+K` β€” Cut the part of the line after the cursor, adding it to the clipboard. +* `Ctrl+U` β€” Cut the part of the line before the cursor, adding it to the clipboard. +* `Ctrl+Y` β€” Paste the last thing you cut from the clipboard. The y here stands for β€œyank”. #### Capitalizing characters -* `Alt+U` -- Capitalize every character from the cursor to the end of the current word, converting the characters to upper case. -* `Alt+L` -- Uncapitalize every character from the cursor to the end of the current word, converting the characters to lower case. -* `Alt+C` -- Capitalize the character under the cursor. Your cursor will move to the end of the current word. +* `Alt+U` β€” Capitalize every character from the cursor to the end of the current word, converting the characters to upper case. +* `Alt+L` β€” Uncapitalize every character from the cursor to the end of the current word, converting the characters to lower case. +* `Alt+C` β€” Capitalize the character under the cursor. Your cursor will move to the end of the current word. #### Tab completion Tab completion is a very useful bash feature. While typing a file, directory, or command name, press Tab and bash will automatically complete what you’re typing, if possible. If not, bash will show you various possible matches and you can continue typing and pressing Tab to finish typing. -* `Tab` -- Automatically complete the file, directory, or command you’re typing. +* `Tab` β€” Automatically complete the file, directory, or command you’re typing. #### Command history -* `Ctrl+P` or `Up-Arrow` -- Go to the previous command in the command history. -* `Ctrl+N` or `Dn-Arrow` -- Go to the next command in the command history. -* `Alt+R` -- Revert any changes to a command pulled from your history. +* `Ctrl+P` or `Up-Arrow` β€” Go to the previous command in the command history. +* `Ctrl+N` or `Dn-Arrow` β€” Go to the next command in the command history. +* `Alt+R` β€” Revert any changes to a command pulled from your history. diff --git a/lessons/lesson04.ipynb b/lessons/lesson04.ipynb index bc952d3..932e3e2 100644 --- a/lessons/lesson04.ipynb +++ b/lessons/lesson04.ipynb @@ -10,7 +10,7 @@ "\n", "_Conda is an open source package management system and environment management system for installing multiple versions of software packages and their dependencies and switching easily between them. It works on Linux, OS X and Windows, and was created for Python programs but can package and distribute any software._ -- \n", "\n", - "First, install miniconda3: . By default, environments you create will use Python 3, but you can specify Python 2 if required.\n", + "First, install Miniconda3: . By default, environments you create will use Python 3, but you can specify Python 2 if required. To launch Conda: if you are using Windows, open the Anaconda Prompt (instead of PowerShell) from the Start menu; if you are using macOS or Linux, the conda command can be accessed from your Terminal.\n", "\n", "Then, create a conda environment. Let's make an environment called `python3` for this class that includes Python 3 and Jupyter. \n", "\n", @@ -18,13 +18,13 @@ "conda create -n python3 python=3 jupyter\n", "```\n", "\n", - "To activate the environment:\n", + "To activate the environment (Windows: `conda activate`):\n", "\n", "```\n", "source activate python3\n", "```\n", "\n", - "To deactivate the environment:\n", + "To deactivate the environment (Windows: `conda deactivate`):\n", "\n", "```\n", "source deactivate\n", From 3850d1f86d663952221cd65c5c4dd6cd44a70967 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 2 Oct 2018 21:21:19 -0700 Subject: [PATCH 08/78] reorganized overviews --- lessons/lesson02.md | 29 ++++++++++++++++++++--------- lessons/lesson03.md | 4 ++-- 2 files changed, 22 insertions(+), 11 deletions(-) diff --git a/lessons/lesson02.md b/lessons/lesson02.md index 436ded3..0bbffee 100644 --- a/lessons/lesson02.md +++ b/lessons/lesson02.md @@ -1,24 +1,35 @@ ## Lesson 2 - Command Line Part I -### Overview +#### A note about operating systems + +This tutorial works best if you are using the Bash shell. Linux and macOS come standard with Bash, which you can access in the Terminal application. Windows PowerShell uses the .NET framework, which is not Bash. For Windows users, you have several options: + +1. Best option: Install [Git Bash](https://gitforwindows.org) and use the Bash shell that comes with it. This is fast. +2. Next best option: Install a Linux virtual machine like [VirtualBox](https://www.virtualbox.org) and use the Terminal that comes with it. This takes more time but gives you access to a virtual Linux machine on your PC. +3. Last resort: Use Windows PowerShell. This has some functionality, as you saw in Appendix A of Shaw. But many of the commands below will not work, including `cd` (by itself), `cd -`, `touch`, `cat` (try `type` or a text editor), `head`, `tail`, and others. + +### Overview of today's lesson -#### Skills you will learn in this lesson +#### Setup + +* Open a shell in Terminal (Mac/Linux) or GitBash (Windows) +* Create a working directory for the course, and a lessons directory inside that +* Copy the day's lesson from GitHub to your lessons folder + +#### Basic commands and skills * Moving between directories * Absolute and relative paths * Creating, moving, and removing files and directories * Investigating text files * Working with commands and processes +* Tab-completion of commands and paths * GUI and command-line text editors -* Setting up your bash environment - -#### A note about operating systems -This tutorial works best if you are using the Bash shell. Linux and macOS come standard with Bash, which you can access in the Terminal application. Windows PowerShell uses the .NET framework, which is not Bash. For Windows users, you have several options: +#### Customization -1. Best option: Install [Git Bash](https://gitforwindows.org) and use the Bash shell that comes with it. This is fast. -2. Next best option: Install a Linux virtual machine like [VirtualBox](https://www.virtualbox.org) and use the Terminal that comes with it. This takes more time but gives you access to a virtual Linux machine on your PC. -3. Last resort: Use Windows PowerShell. This has some functionality, as you saw in Appendix A of Shaw. But many of the commands below will not work, including `cd` (by itself), `cd -`, `touch`, `cat` (try `type` or a text editor), `head`, `tail`, and others. +* Customize your Finder window (or similar on non-Mac) +* Customize up your Bash environment ### Basic commands diff --git a/lessons/lesson03.md b/lessons/lesson03.md index 764f249..0001644 100644 --- a/lessons/lesson03.md +++ b/lessons/lesson03.md @@ -1,8 +1,8 @@ ## Lesson 3 - Command Line Part II -### Overview +### Overview of today's lesson -#### Skills you will learn in this lesson +#### Intermediate commands and skills * Bash variables and commands * Executing bash scripts and dot-files From a6eced9772ba5b4dc84413163fb9b20e23450914 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Wed, 3 Oct 2018 11:00:56 -0700 Subject: [PATCH 09/78] changed Thursday to Wednesday --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 492443c..76f8eb8 100644 --- a/README.md +++ b/README.md @@ -97,7 +97,7 @@ Course topics include: ### Weekly Assignments -Weekly take-home assignments will follow the course schedule, reinforcing skills with exercises to analyze and visualize scientific data. Assignments will given out on Thursdays and will be due the following Thursday, using TritonEd. Assignments are worth 8 points each and will be graded on effort, completeness, and accuracy. +Weekly take-home assignments will follow the course schedule, reinforcing skills with exercises to analyze and visualize scientific data. Assignments will given out on Wednesdays and will be due the following Wednesday, using TritonEd. Assignments are worth 8 points each and will be graded on effort, completeness, and accuracy. ### Final Project From 9a17673740cf81d97dfd2384bdf522b72e6992f9 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Wed, 3 Oct 2018 15:25:51 -0700 Subject: [PATCH 10/78] updates after class --- lessons/lesson02.md | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/lessons/lesson02.md b/lessons/lesson02.md index 0bbffee..c2bbee7 100644 --- a/lessons/lesson02.md +++ b/lessons/lesson02.md @@ -55,8 +55,8 @@ This tutorial works best if you are using the Bash shell. Linux and macOS come s * `rmdir DIRECTORY` β€” remove empty directory * `touch FILE` β€” create an empty file or change file modification time * `cat FILE` β€” print contents of file -* `cat FILE1 FILE2 > FILE3` β€” combine two files into third file * `cat > FILE` β€” write to file +* `cat FILE1 FILE2 > FILE3` β€” combine two files into third file * `cat >> FILE` β€” append to file * `cp FILE1 FILE2` β€” copy file * `mv FILE1 FILE2` β€” move file @@ -76,6 +76,7 @@ This tutorial works best if you are using the Bash shell. Linux and macOS come s #### Working with commands and processes * `man COMMAND` β€” display manual page of command if it exists +* `COMMAND --help` -- display usage information * `help COMMAND` β€” display help description of command if it exists * `which COMMAND` β€” show location of command * `history` β€” display past commands @@ -100,7 +101,9 @@ For small jobs or if you want to stay inside the terminal, there are other usefu ### Setting up your bash environment -There are several things you can do to set up your bash environment, which is what you see when you use the terminal (command line). You put these commands in a file called ~/.bash_profile (or ~/.bashrc or ~/.profile). That notation means the file is called .bash_profile (yes, that's a period, and the file is called a dot-file), and it's in your home directory. +There are several things you can do to set up your bash environment, which is what you see when you use the terminal (command line). You put these commands in a file called `.bash_profile` (or `.bashrc` or `.profile`) in your home directory. Yes, that's a period at the beginning of the file, and the file is called a dot-file, which is a system file your computer uses to customize your shell. + +As an option, you can add the lines below to your `.bash_profile` using a text editor like Nano or Atom. Be careful to not overwrite what's already there, and to not add any extra commands or stray text. It's a good idea to save a copy of your existing `.bash_profile` with a different name as a backup. ``` # customize prompt with color and pwd From d7f1281927a1162b56728ea9a04c0edd2221daff Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Thu, 4 Oct 2018 22:10:21 -0700 Subject: [PATCH 11/78] clarified .bash_profile section --- lessons/lesson02.md | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/lessons/lesson02.md b/lessons/lesson02.md index c2bbee7..3d1002a 100644 --- a/lessons/lesson02.md +++ b/lessons/lesson02.md @@ -55,9 +55,9 @@ This tutorial works best if you are using the Bash shell. Linux and macOS come s * `rmdir DIRECTORY` β€” remove empty directory * `touch FILE` β€” create an empty file or change file modification time * `cat FILE` β€” print contents of file -* `cat > FILE` β€” write to file +* `cat > FILE` β€” write to file (warning: this will overwrite the file if it exists) +* `cat >> FILE` β€” append to file (safer alternative to above in some cases) * `cat FILE1 FILE2 > FILE3` β€” combine two files into third file -* `cat >> FILE` β€” append to file * `cp FILE1 FILE2` β€” copy file * `mv FILE1 FILE2` β€” move file * `rm FILE` β€” remove file @@ -76,8 +76,7 @@ This tutorial works best if you are using the Bash shell. Linux and macOS come s #### Working with commands and processes * `man COMMAND` β€” display manual page of command if it exists -* `COMMAND --help` -- display usage information -* `help COMMAND` β€” display help description of command if it exists +* `COMMAND --help` β€” display usage information * `which COMMAND` β€” show location of command * `history` β€” display past commands * `top` β€” display current processes @@ -103,7 +102,7 @@ For small jobs or if you want to stay inside the terminal, there are other usefu There are several things you can do to set up your bash environment, which is what you see when you use the terminal (command line). You put these commands in a file called `.bash_profile` (or `.bashrc` or `.profile`) in your home directory. Yes, that's a period at the beginning of the file, and the file is called a dot-file, which is a system file your computer uses to customize your shell. -As an option, you can add the lines below to your `.bash_profile` using a text editor like Nano or Atom. Be careful to not overwrite what's already there, and to not add any extra commands or stray text. It's a good idea to save a copy of your existing `.bash_profile` with a different name as a backup. +Shown below are some commands that I have put in my `.bash_profile`. You might want to use some of these to customize your terminal. In Assignment 1, you will have the chance to edit your `.bash_profile` using a text editor like Nano or Atom. Be careful to not overwrite what's already there, and to not add any extra commands or stray text. It's a good idea to save a copy of your existing `.bash_profile` with a different name as a backup. ``` # customize prompt with color and pwd From eeca566b4304e676538f970e937f15475310b612 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Mon, 8 Oct 2018 10:44:24 -0700 Subject: [PATCH 12/78] updates to lesson03 --- lessons/lesson03.md | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/lessons/lesson03.md b/lessons/lesson03.md index 0001644..ff38ebb 100644 --- a/lessons/lesson03.md +++ b/lessons/lesson03.md @@ -18,9 +18,8 @@ * `A=0` β€” assign a variable * `echo VARIABLE` β€” output the value of a variable or expression -* `$PATH` β€” your path variable +* `$PATH` β€” your path variable (try: `echo -e ${PATH//:/'\n'}`) * `$SHELL` β€” your current shell -* `$RANDOM` β€” a random number * `$PPID` β€” process ID * `$HOME` β€” your home directory (another name for `~` or `/Users/you`) @@ -51,15 +50,19 @@ Any of the commands we have used from the command line (the bash prompt `$`) can ### More commands -#### Parsing files +We will test some of these commands with the example file `survey_scores_2015_T.csv`. + +#### Parsing and sorting files * `cut -d "," -f 5- FILE` β€” output 5th field through end using comma field delimiter * `sed 's/FIND/REPLACE/g'` β€” replace text in a file * `perl -e 's/FIND/REPLACE/g'` β€” run perl commands in the command line (advanced) +* `sort FILE` - sort a file alphabetically +* `uniq FILE` - get the unique lines in a sorted file #### Working with input and output -* `|` β€” pipe output from one command to another (e.g., `sort | uniq`) +* `|` β€” pipe output from one command to another (e.g., `sort | uniq | wc`) * `>` β€” redirect (write) to file * `<` β€” get output of file (other type of redirect) * `` `COMMAND` `` β€” pass output of a command (e.g., in a for loop) @@ -76,6 +79,8 @@ Any of the commands we have used from the command line (the bash prompt `$`) can Various keyboard shortcuts help you quickly and powerfully control the terminal. This section is adapted from [The Best Keyboard Shortcuts for Bash (aka the Linux and macOS Terminal)](https://www.howtogeek.com/howto/ubuntu/keyboard-shortcuts-for-bash-command-shell-for-ubuntu-debian-suse-redhat-linux-etc/) by Lowell Heddings. +Make sure you know which is the `Alt` or `Meta` key on your computer. On a Mac, you can do this by setting your Terminal preferences to "Use Option as Meta key". + #### Enabling command-line editing The instructions below assume you're using the default keyboard shortcut configuration in bash. By default, bash uses emacs-style keys. If you’re more used to the vi text editor, you can switch to vi-style keyboard shortcuts. From a8a5a7d0f318c064dad753a16ed1bb4df30ab1bf Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Mon, 8 Oct 2018 15:23:33 -0700 Subject: [PATCH 13/78] updates after class --- lessons/lesson02.md | 5 +++-- lessons/lesson03.md | 8 ++++---- 2 files changed, 7 insertions(+), 6 deletions(-) diff --git a/lessons/lesson02.md b/lessons/lesson02.md index 3d1002a..23d83f8 100644 --- a/lessons/lesson02.md +++ b/lessons/lesson02.md @@ -66,8 +66,9 @@ This tutorial works best if you are using the Bash shell. Linux and macOS come s #### Investigating text files * `less FILE` β€” view a text file -* `head FILE` β€” first 10 lines of file -* `tail FILE` β€” last 10 lines of file +* `head -n N FILE` β€” first N lines of file +* `tail -n N FILE` β€” last N lines of file +* `tail -n +S FILE` – last lines of file starting at line S * `wc FILE` β€” count the words and characters in a file * `open FILE` β€” open a file using default program (on a Mac) * `file FILE` β€” get the file type for file(s) diff --git a/lessons/lesson03.md b/lessons/lesson03.md index ff38ebb..742a7d9 100644 --- a/lessons/lesson03.md +++ b/lessons/lesson03.md @@ -34,10 +34,10 @@ do echo $i done -if [ -d "test" ]; then +if [ -d "temp" ]; then echo "Directory exists." else - mkdir test + mkdir temp fi ``` @@ -55,8 +55,8 @@ We will test some of these commands with the example file `survey_scores_2015_T. #### Parsing and sorting files * `cut -d "," -f 5- FILE` β€” output 5th field through end using comma field delimiter -* `sed 's/FIND/REPLACE/g'` β€” replace text in a file -* `perl -e 's/FIND/REPLACE/g'` β€” run perl commands in the command line (advanced) +* `sed 's/FIND/REPLACE/g' FILE ` β€” replace text in a file +* `perl -e 's/FIND/REPLACE/g' FILE ` β€” run perl commands in the command line (advanced) * `sort FILE` - sort a file alphabetically * `uniq FILE` - get the unique lines in a sorted file From 65a582be04affd041a4958484269a36418bbda59 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 9 Oct 2018 12:40:48 -0700 Subject: [PATCH 14/78] clarifications to assignment 1 and lesson 2 --- assignments/assignment1.md | 32 ++++++++++++++++++++++---------- lessons/lesson02.md | 20 +++++++++++++++++++- 2 files changed, 41 insertions(+), 11 deletions(-) diff --git a/assignments/assignment1.md b/assignments/assignment1.md index 49f9470..7d7931c 100644 --- a/assignments/assignment1.md +++ b/assignments/assignment1.md @@ -1,9 +1,11 @@ ### Assignment 1 - Basic Shell Commands -Execute these commands in your terminal. Copy and paste the commands and output (i.e., your terminal session) to a text file, then save and submit this text file as your completed assignment. You may use plain text (.txt) or Markdown (.md) format. Please name your file `1_first_last.txt` or `1_first_last.md` (substitute your first and last name). +Do the exercises below. *How to provided your answer is specificed in italics.* Copy your answer to a text file then save and submit this text file as your completed assignment. You may use plain text (.txt) or Markdown (.md) format. Please name your file `1_first_last.txt` or `1_first_last.md` (substitute your first and last name). #### A. Basic commands +*Copy your terminal commands and output as your answers.* + 1. Navigate to your working directory for the class. 2. Within that directory, create a temporary test directory. 3. Create a file using one method I showed you. @@ -12,26 +14,32 @@ Execute these commands in your terminal. Copy and paste the commands and output 6. Copy one of the files. 7. Delete one of the files. 8. Delete the temporary directory. +9. Get a list of the commands you've typed already. +10. See which processes are running on your computer. #### B. Working with commands -1. Learn more about a command from class using a Unix command. -2. Learn more about a command from class using a Google search. -3. Find out where the commands `mv` and `cp` are located on your computer. -4. Get a list of the commands you've typed already. -5. See which processes are running on your computer. -6. What happens when you type `Tab` in the middle of typing a command? -7. What happens when you type `Tab` in the middle of typing a file name or path? +*Write your answers.* + +1. Pick a command from class. Using a Unix command to find out, what does this command do? +2. Pick a command from class. Using a Google search to find out, what does this command do? +3. Where are the commands `mv` and `cp` are located on your computer? +4. What happens when you type `Tab` in the middle of typing a command? +5. What happens when you type `Tab` in the middle of typing a file name or path? #### C. Setting up your bash environment +*No answers need be submitted.* + 1. Download a text editor such as [Atom](https://atom.io) or [Sublime Text](https://www.sublimetext.com) if you haven't already. -2. Using your text editor, customize your terminal by editing the file `.bash_profile` in your home directory. +2. Using your text editor, customize your terminal by editing the file `.bash_profile` in your home directory. Alternatively, you can edit the file `.bashrc` in your home directory and have it automatically sourced by `.bash_profile` (see Lesson 2). 3. Source your bash profile file with the command `source ~/.bash_profile`. 4. Open a new terminal to make sure it automatically sources your bash profile file. You may have to change the preferences in the Terminal app. #### D. More commands +*Copy your terminal commands and output as your answers.* + 1. Print the first 5 lines of a text file. 2. Print the last 10 commands you entered. 3. View the contents of a file without printing anything to the screen. @@ -43,6 +51,8 @@ Execute these commands in your terminal. Copy and paste the commands and output #### E. Paths and variables +*Copy your terminal commands and output as your answers.* + 1. Navigate to root and home directories using absolute paths. 2. Navigate to root and home directories using relative paths. 3. Store an integer as a shell variable then print it. @@ -53,5 +63,7 @@ Execute these commands in your terminal. Copy and paste the commands and output #### F. Executing bash scripts and dot-files +*Copy the text of your bash script and the terminal output as your answers.* + 1. Write a bash script that uses the commands `mkdir`, `cat`, `mv`, `echo`, and a `for` loop. -2. Execute you bash script using the terminal. +2. Execute your bash script using the terminal. diff --git a/lessons/lesson02.md b/lessons/lesson02.md index 23d83f8..8596dc6 100644 --- a/lessons/lesson02.md +++ b/lessons/lesson02.md @@ -103,7 +103,25 @@ For small jobs or if you want to stay inside the terminal, there are other usefu There are several things you can do to set up your bash environment, which is what you see when you use the terminal (command line). You put these commands in a file called `.bash_profile` (or `.bashrc` or `.profile`) in your home directory. Yes, that's a period at the beginning of the file, and the file is called a dot-file, which is a system file your computer uses to customize your shell. -Shown below are some commands that I have put in my `.bash_profile`. You might want to use some of these to customize your terminal. In Assignment 1, you will have the chance to edit your `.bash_profile` using a text editor like Nano or Atom. Be careful to not overwrite what's already there, and to not add any extra commands or stray text. It's a good idea to save a copy of your existing `.bash_profile` with a different name as a backup. +In Assignment 1, you will have the chance to edit your `.bash_profile` using a text editor like Nano or Atom. Be careful to not overwrite what's already there, and to not add any extra commands or stray text. It's a good idea to save a copy of your existing `.bash_profile` with a different name as a backup. + +As an alternative to editing your `.bash_profile` directly, you can edit (or create and then edit) your `.bashrc` file and have `.bash_profile` source this file whenever it runs. To do this: + +1. Type `cd` to go to your home directory. +2. Type `nano .bash_profile` (or `sudo nano .bash_profile` if you need root access). +3. Past this text at the top of your `.bash_profile`: +``` +if [ -r ~/.bashrc ]; then +source ~/.bashrc; +fi +``` +4. Save `.bash_profile` and exit nano. +5. Type `nano .bashrc`. +6. Add any of the commands you want to .bashrc instead of .bash_profile. This way, you won't have to use sudo every time you want to customize your shell. + +You can learn more about `.bash_profile` and `.bashrc` on macOS [here](https://scriptingosx.com/2017/04/about-bash_profile-and-bashrc-on-macos/). + +Shown here are some commands that you might want to put in your `.bash_profile` or `.bashrc` to customize your terminal: ``` # customize prompt with color and pwd From e80f20869e4e86d6e0c4947f53b40ae396afacbf Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 9 Oct 2018 12:47:32 -0700 Subject: [PATCH 15/78] minor update --- lessons/lesson02.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lessons/lesson02.md b/lessons/lesson02.md index 8596dc6..d788fcc 100644 --- a/lessons/lesson02.md +++ b/lessons/lesson02.md @@ -112,7 +112,7 @@ As an alternative to editing your `.bash_profile` directly, you can edit (or cre 3. Past this text at the top of your `.bash_profile`: ``` if [ -r ~/.bashrc ]; then -source ~/.bashrc; + source ~/.bashrc; fi ``` 4. Save `.bash_profile` and exit nano. From 963d4691ad0d9103449a27f37c7827c0abfb7dec Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 9 Oct 2018 18:40:56 -0700 Subject: [PATCH 16/78] updates to weeks 2-4 lessons and assignments --- README.md | 2 +- assignments/assignment2.md | 24 ++- lessons/lesson04.ipynb | 369 ++++++++++++++++++------------------- lessons/lesson05.ipynb | 223 ++++++++++++++++------ lessons/lesson06.ipynb | 29 ++- lessons/lesson08.ipynb | 44 ++--- schedule.tsv | 2 +- 7 files changed, 402 insertions(+), 291 deletions(-) diff --git a/README.md b/README.md index 76f8eb8..328e76b 100644 --- a/README.md +++ b/README.md @@ -151,7 +151,7 @@ Lesson | Title | Readings | Topics | Assignment [5](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson05.ipynb) | Python Basics, Strings, Printing | Shaw: [Ex1-10](https://learnpythonthehardway.org/python3/ex1.html); Lutz: Ch1-7 | Python scripts, error messages, printing strings and variables, strings and string operations, numbers and mathematical expressions, getting help with commands and Ipython | -- [6](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson06.ipynb) | Taking Input, Reading and Writing Files, Functions | Shaw: [Ex11-26](https://learnpythonthehardway.org/python3/ex11.html); Lutz: Ch9,14-17 | Taking input, reading files, writing files, functions | Assignment 3: Python Fundamentals I [7](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson07.ipynb) | Logic, Loops, Lists, Dictionaries, and Tuples | Shaw: [Ex27-39](https://learnpythonthehardway.org/python3/ex27.html); Lutz: Ch8-13 | Logic and loops, lists and list comprehension, tuples, dictionaries, other types | -- -[8](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson08.ipynb) | Python and IPython Review | McKinney: [Ch1](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/preliminaries/intro_html), [Ch2](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/python-language-basics-ipython-and-jupyter-notebooks/intro_python_environment_html), [Ch3](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/built-in-data-structures-functions-and-files/intro_python_stdlib_html) | Review of Python commands, IPython review -- enhanced interactive Python shells with support for data visualization, distributed and parallel computation and a browser-based notebook with support for code, text, mathematical expressions, inline plots and other rich media | Assignment 4: Python Fundamentals II +[8](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson08.ipynb) | Python and IPython Review | McKinney: [Ch1](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/preliminaries/intro_html), [Ch2](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/python-language-basics-ipython-and-jupyter-notebooks/intro_python_environment_html), [Ch3](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/built-in-data-structures-functions-and-files/intro_python_stdlib_html) | Review of Python commands, IPython review | Assignment 4: Python Fundamentals II [9](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson09.ipynb) | Regular Expressions | Kuchling: [Regular Expression HOWTO](https://docs.python.org/3/howto/regex.html) | Regular expression syntax, Command-line tools: `grep`, `sed`, `awk`, `perl -e`, Python examples: built-in and `re` module | -- [10](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson10.ipynb) | Numpy, Pandas and Matplotlib Crashcourse | Pratik: [Introduction to Numpy and Pandas](https://cloudxlab.com/blog/numpy-pandas-introduction/) | Numpy, Pandas, and Matplotlib overview | Assignment 5: Regular Expressions [11](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson11.ipynb) | Pandas Part I | McKinney: [Ch4](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/numpy-basics-arrays-and-vectorized-computation/numpy_html), [Ch5](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/getting-started-with-pandas/pandas_html) | Introduction to NumPy and Pandas: `ndarray`, `Series`, `DataFrame`, `index`, `columns`, `dtypes`, `info`, `describe`, `read_csv`, `head`, `tail`, `loc`, `iloc`, `ix`, `to_datetime` | -- diff --git a/assignments/assignment2.md b/assignments/assignment2.md index 1607d9b..aa36295 100644 --- a/assignments/assignment2.md +++ b/assignments/assignment2.md @@ -1,11 +1,13 @@ -### Assignment 2 - Bash, Conda, IPython, and Jupyter +### Assignment 2 - Conda, IPython, and Jupyter -Work through these tasks. For section A, copy the commands you executed for this section and their output. For sections B and C, you don't need to turn in any commands or code; just provide your answers to the questions. Turn in a single text file of your answers. Please name your file `2_first_last.txt` or `2_first_last.md` (substitute your first and last name). +Work through these tasks. *How to provided your answer is specificed in italics.* Turn in a single text file of your answers. Please name your file `2_first_last.txt` or `2_first_last.md` (substitute your first and last name). Note: This assignment assumes you have already installed [Miniconda 3](https://conda.io/miniconda.html) (Miniconda for Python 3) and created an environment called `python3` (we did this in Lesson 4). If you installed Miniconda 2 (Miniconda for Python 2), you should probably delete it and install Miniconda 3. Miniconda 3 will still let you create environments using Python 2 if you need to. #### A. Working with Conda +*Copy your terminal commands and output as your answers.* + 1. Make a conda environment called `python2` that's identical to your `python3` environment except it uses Python 2. 2. Practice activating and deactivating conda environments. 3. Use `conda install` and `pip install` to install additional packages to your environment. @@ -14,12 +16,18 @@ Note: This assignment assumes you have already installed [Miniconda 3](https://c 6. Optional: If you are familiar with R, create an environment and install the R kernel using the instructions [here](https://www.continuum.io/blog/developer/jupyter-and-conda-r). 7. Optional: If you are familiar with QIIME, create an environment and install QIIME using the instructions [here](http://qiime.org/install/install.html). -#### B. Python and IPython command-line interpreter +#### B. IPython command-line interpreter and Python basics + +*Write your answers to #1 and #2. Copy your terminal commands and output as your answers for #3.* + +1. Activate your `python2` conda environment and find out which version of Python you are using. Then try to run the commands `print 'Hello, world'` and`print('Hello, world')`. Do they both work? +2. Activate your `python3` conda environment and find out which version of Python you are using. Then try to run the commands `print 'Hello, world'` and`print('Hello, world')`. Do they both work? +3. Pick 3 of the 8 sections in Data Types we covered in Lesson 4: booleans, numbers, strings, lists, tuples, arrays, sets, and dictionaries. Using the IPython interpreter in your `python3` environment, type and run the commands we used in those sections of Lesson 4. -1. Launch your `python3` conda environment and find out which version of Python you are using. Then try to run the commands `print 'Hello, world'` and`print('Hello, world')`. Do they both work? -2. Launch your `python2` conda environment and find out which version of Python you are using. Then try to run the commands `print 'Hello, world'` and`print('Hello, world')`. Do they both work? +#### C. Working with Jupyter notebooks -#### C. Working with Jupyter notebooks and Python basics +*Write your answers to #1 and #2. No need to turn anything in for #3.* -1. Launch your `python3` conda environment and then launch the Jupyter notebook server. Which kinds of notebooks can you create? Open a Terminal within the notebook environment; what is your Python version? -2. Launch your `python2` conda environment and then launch the Jupyter notebook server. Which kinds of notebooks can you create? Open a Terminal within the notebook environment; what is your Python version? +1. Activate your `python2` conda environment and then launch the Jupyter notebook server. Which kinds of notebooks can you create? Open a Terminal within the notebook environment; what is your Python version? +2. Activate your `python3` conda environment and then launch the Jupyter notebook server. Which kinds of notebooks can you create? Open a Terminal within the notebook environment; what is your Python version? +3. Pick 1 of the 4 sections in Loops and Control Structures we covered in Lesson 4: boolean and comparison operations, if tests, while loops, and for loops. Using a Jupyter notebook in your `python3` environment, type the code from that section in one or more cells, then execute it. Put a header above the code cell using a Markdown cell. Practice creating, deleting, and moving cells using the keyboard shortcuts. diff --git a/lessons/lesson04.ipynb b/lessons/lesson04.ipynb index 932e3e2..8fb8b2a 100644 --- a/lessons/lesson04.ipynb +++ b/lessons/lesson04.ipynb @@ -5,6 +5,32 @@ "metadata": {}, "source": [ "## Lesson 4 - Conda, IPython, and Jupyter Notebooks\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Readings\n", + "\n", + "* Geohackweek: [Introduction to Conda](https://geohackweek.github.io/Introductory/01-conda-tutorial/)\n", + "\n", + "### Table of Contents\n", + "\n", + "* [Installation](#install)\n", + "* [IPython and Jupyter](#ipython)\n", + "* [Python Syntax](#syntax)\n", + "* [Data Types](#types)\n", + "* [Control Structures](#control)\n", + "* [Version](#version)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", "\n", "### Installing Miniconda and working with Conda\n", "\n", @@ -58,15 +84,45 @@ "\n", "```\n", "conda list\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "### IPython and Jupyter\n", + "\n", + "IPython offers enhanced interactive Python shells with support for data visualization, distributed and parallel computation, and the browser-based Jupyter notebook. Jupyter notebook provides support for code, text, mathematical expressions, inline plots, and other rich media.\n", + "\n", + "#### Python command-line interpreter\n", + "\n", + "To open the Python interpreter, go to your terminal and type:\n", + "\n", + "```\n", + "python\n", "```\n", "\n", - "### Python and IPython command-line interpreter\n", + "#### IPython command-line interpreter\n", "\n", - "(demonstration)\n", + "To open the IPython interpreter, go to your terminal and type:\n", "\n", - "### Working with Jupyter notebooks and Python basics\n", + "```\n", + "ipython\n", + "```\n", + "\n", + "#### Jupyter (IPython) notebooks\n", + "\n", + "To launch a Jupyter notebook, go to terminal and type:\n", + "\n", + "```\n", + "source activate python3\n", + "jupyter notebook\n", + "```\n", "\n", - "(demonstration with Python Crash Course)" + "Open up a new notebook, then check out **Help > User Interface Tour** and **Help > Keyboard Shortcuts**." ] }, { @@ -75,6 +131,8 @@ "collapsed": true }, "source": [ + "\n", + "\n", "## Python Crash Course\n", "\n", "In this tutorial we will cover some basic aspects of Python using IPython (Jupyter) notebooks. \n", @@ -85,23 +143,6 @@ "4. numpy, scipy, math" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Import modules to use" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import math\n", - "import numpy as np" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -111,7 +152,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -120,7 +161,7 @@ "4" ] }, - "execution_count": 2, + "execution_count": 1, "metadata": {}, "output_type": "execute_result" } @@ -131,7 +172,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -140,7 +181,7 @@ "10" ] }, - "execution_count": 3, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -153,7 +194,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -162,7 +203,7 @@ "25" ] }, - "execution_count": 4, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -173,7 +214,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -190,7 +231,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": { "scrolled": true }, @@ -211,24 +252,24 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Data types" + "\n", + "\n", + "### Data Types" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Boolean\n", + "#### Booleans\n", "\n", "'True' and 'False' have special meaning in Python." ] }, { "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": true - }, + "execution_count": 6, + "metadata": {}, "outputs": [], "source": [ "a = True\n", @@ -237,7 +278,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -246,7 +287,7 @@ "True" ] }, - "execution_count": 8, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -257,7 +298,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -266,7 +307,7 @@ "False" ] }, - "execution_count": 9, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -277,7 +318,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": { "scrolled": true }, @@ -288,7 +329,7 @@ "True" ] }, - "execution_count": 10, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -299,7 +340,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -308,7 +349,7 @@ "False" ] }, - "execution_count": 11, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -328,7 +369,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -337,7 +378,7 @@ "3" ] }, - "execution_count": 12, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -348,7 +389,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -357,7 +398,7 @@ "3.0" ] }, - "execution_count": 13, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -368,7 +409,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -377,7 +418,7 @@ "0.5" ] }, - "execution_count": 14, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -388,7 +429,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -397,7 +438,7 @@ "0.5" ] }, - "execution_count": 15, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -408,7 +449,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -417,7 +458,7 @@ "int" ] }, - "execution_count": 16, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -428,7 +469,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "metadata": { "scrolled": true }, @@ -439,7 +480,7 @@ "float" ] }, - "execution_count": 17, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -461,10 +502,8 @@ }, { "cell_type": "code", - "execution_count": 18, - "metadata": { - "collapsed": true - }, + "execution_count": 17, + "metadata": {}, "outputs": [], "source": [ "s = 'Hello, world'" @@ -472,7 +511,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -481,7 +520,7 @@ "str" ] }, - "execution_count": 19, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -492,7 +531,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -501,7 +540,7 @@ "'Hell'" ] }, - "execution_count": 20, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -512,7 +551,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -521,7 +560,7 @@ "'Hello, world!'" ] }, - "execution_count": 21, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -532,7 +571,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -541,7 +580,7 @@ "'Hello, world'" ] }, - "execution_count": 22, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -552,10 +591,8 @@ }, { "cell_type": "code", - "execution_count": 23, - "metadata": { - "collapsed": true - }, + "execution_count": 22, + "metadata": {}, "outputs": [], "source": [ "s = s + '!'" @@ -563,7 +600,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -572,7 +609,7 @@ "'Hello, world!'" ] }, - "execution_count": 24, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -592,10 +629,8 @@ }, { "cell_type": "code", - "execution_count": 25, - "metadata": { - "collapsed": true - }, + "execution_count": 24, + "metadata": {}, "outputs": [], "source": [ "l = [0, 1, 1, 2, 3, 5, 8]" @@ -603,10 +638,8 @@ }, { "cell_type": "code", - "execution_count": 26, - "metadata": { - "collapsed": true - }, + "execution_count": 25, + "metadata": {}, "outputs": [], "source": [ "m = [5, 2, 'a', 'xxx', True, [0, 1]]" @@ -614,7 +647,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -623,7 +656,7 @@ "[0, 1, 1]" ] }, - "execution_count": 27, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -634,7 +667,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -643,7 +676,7 @@ "True" ] }, - "execution_count": 28, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -654,7 +687,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -663,7 +696,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -672,7 +705,7 @@ "[False, [0, 1]]" ] }, - "execution_count": 30, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -692,10 +725,8 @@ }, { "cell_type": "code", - "execution_count": 31, - "metadata": { - "collapsed": true - }, + "execution_count": 30, + "metadata": {}, "outputs": [], "source": [ "n = (3, 5, 6)" @@ -703,7 +734,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -712,7 +743,7 @@ "3" ] }, - "execution_count": 32, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -723,7 +754,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -733,7 +764,7 @@ "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mn\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mn\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;31mTypeError\u001b[0m: 'tuple' object does not support item assignment" ] } @@ -749,6 +780,17 @@ "#### Arrays (numpy)" ] }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "# Import modules to use\n", + "import math\n", + "import numpy as np" + ] + }, { "cell_type": "code", "execution_count": 34, @@ -778,7 +820,7 @@ { "data": { "text/plain": [ - "array([ 0., 0., 0., 0., 0.])" + "array([0., 0., 0., 0., 0.])" ] }, "execution_count": 35, @@ -860,7 +902,7 @@ { "data": { "text/plain": [ - "array([ 0. , 2.5, 5. , 7.5, 10. ])" + "array([ 0. , 2.5, 5. , 7.5, 10. ])" ] }, "execution_count": 39, @@ -880,7 +922,7 @@ { "data": { "text/plain": [ - "array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10.])" + "array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10.])" ] }, "execution_count": 40, @@ -900,7 +942,7 @@ { "data": { "text/plain": [ - "0.8833101834861427" + "0.7780764313091308" ] }, "execution_count": 41, @@ -920,7 +962,7 @@ { "data": { "text/plain": [ - "array([ 0.61700134, 0.21487225, 0.82599942, 0.61332707, 0.54312477])" + "array([0.84943052, 0.21125752, 0.32220287, 0.0216243 , 0.0963807 ])" ] }, "execution_count": 42, @@ -944,9 +986,7 @@ { "cell_type": "code", "execution_count": 43, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "s1 = {'a', 'b', 'c'}\n", @@ -1075,9 +1115,7 @@ { "cell_type": "code", "execution_count": 50, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "d = {'name': 'John Doe', 'age': 27, 'dob': '7/20/1989'}" @@ -1091,7 +1129,7 @@ { "data": { "text/plain": [ - "{'age': 27, 'dob': '7/20/1989', 'name': 'John Doe'}" + "{'name': 'John Doe', 'age': 27, 'dob': '7/20/1989'}" ] }, "execution_count": 51, @@ -1126,9 +1164,7 @@ { "cell_type": "code", "execution_count": 53, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "d['zip'] = 92039" @@ -1138,7 +1174,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Loops and control structures\n", + "\n", + "\n", + "### Loops and Control Structures\n", "\n", "#### Boolean and comparison operations" ] @@ -1361,7 +1399,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Determining your Python version" + "\n", + "\n", + "### Determining Your Python Version" ] }, { @@ -1374,9 +1414,7 @@ { "cell_type": "code", "execution_count": 63, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "import sys" @@ -1390,7 +1428,7 @@ { "data": { "text/plain": [ - "'3.5.2 |Continuum Analytics, Inc.| (default, Jul 2 2016, 17:52:12) \\n[GCC 4.2.1 Compatible Apple LLVM 4.2 (clang-425.0.28)]'" + "'3.7.0 | packaged by conda-forge | (default, Aug 27 2018, 17:24:52) \\n[Clang 6.1.0 (clang-602.0.53)]'" ] }, "execution_count": 64, @@ -1412,9 +1450,7 @@ { "cell_type": "code", "execution_count": 65, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "import platform" @@ -1430,7 +1466,7 @@ { "data": { "text/plain": [ - "'3.5.2'" + "'3.7.0'" ] }, "execution_count": 66, @@ -1452,7 +1488,7 @@ { "data": { "text/plain": [ - "'Darwin Kernel Version 16.7.0: Thu Jun 15 17:36:27 PDT 2017; root:xnu-3789.70.16~2/RELEASE_X86_64'" + "'Darwin Kernel Version 16.7.0: Thu Jun 21 20:07:39 PDT 2018; root:xnu-3789.73.14~1/RELEASE_X86_64'" ] }, "execution_count": 67, @@ -1477,70 +1513,25 @@ "metadata": {}, "outputs": [ { - "data": { - "application/json": { - "Software versions": [ - { - "module": "Python", - "version": "3.5.2 64bit [GCC 4.2.1 Compatible Apple LLVM 4.2 (clang-425.0.28)]" - }, - { - "module": "IPython", - "version": "5.1.0" - }, - { - "module": "OS", - "version": "Darwin 16.7.0 x86_64 i386 64bit" - }, - { - "module": "math", - "version": "The 'math' distribution was not found and is required by the application" - }, - { - "module": "numpy", - "version": "1.11.2" - }, - { - "module": "sys", - "version": "The 'sys' distribution was not found and is required by the application" - }, - { - "module": "platform", - "version": "1.0.7" - } - ] - }, - "text/html": [ - "
SoftwareVersion
Python3.5.2 64bit [GCC 4.2.1 Compatible Apple LLVM 4.2 (clang-425.0.28)]
IPython5.1.0
OSDarwin 16.7.0 x86_64 i386 64bit
mathThe 'math' distribution was not found and is required by the application
numpy1.11.2
sysThe 'sys' distribution was not found and is required by the application
platform1.0.7
Mon Jan 22 15:21:04 2018 PST
" - ], - "text/latex": [ - "\\begin{tabular}{|l|l|}\\hline\n", - "{\\bf Software} & {\\bf Version} \\\\ \\hline\\hline\n", - "Python & 3.5.2 64bit [GCC 4.2.1 Compatible Apple LLVM 4.2 (clang-425.0.28)] \\\\ \\hline\n", - "IPython & 5.1.0 \\\\ \\hline\n", - "OS & Darwin 16.7.0 x86\\_64 i386 64bit \\\\ \\hline\n", - "math & The 'math' distribution was not found and is required by the application \\\\ \\hline\n", - "numpy & 1.11.2 \\\\ \\hline\n", - "sys & The 'sys' distribution was not found and is required by the application \\\\ \\hline\n", - "platform & 1.0.7 \\\\ \\hline\n", - "\\hline \\multicolumn{2}{|l|}{Mon Jan 22 15:21:04 2018 PST} \\\\ \\hline\n", - "\\end{tabular}\n" - ], - "text/plain": [ - "Software versions\n", - "Python 3.5.2 64bit [GCC 4.2.1 Compatible Apple LLVM 4.2 (clang-425.0.28)]\n", - "IPython 5.1.0\n", - "OS Darwin 16.7.0 x86_64 i386 64bit\n", - "math The 'math' distribution was not found and is required by the application\n", - "numpy 1.11.2\n", - "sys The 'sys' distribution was not found and is required by the application\n", - "platform 1.0.7\n", - "Mon Jan 22 15:21:04 2018 PST" - ] - }, - "execution_count": 68, - "metadata": {}, - "output_type": "execute_result" + "ename": "ModuleNotFoundError", + "evalue": "No module named 'version_information'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# first install: pip install version_information\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_line_magic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'reload_ext'\u001b[0m\u001b[0;34m,\u001b[0m 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"\u001b[0;32m~/miniconda3/envs/python37/lib/python3.7/site-packages/IPython/core/magic.py\u001b[0m in \u001b[0;36m\u001b[0;34m(f, *a, **k)\u001b[0m\n\u001b[1;32m 185\u001b[0m \u001b[0;31m# but it's overkill for just that one bit of state.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 186\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mmagic_deco\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 187\u001b[0;31m \u001b[0mcall\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 188\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 189\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mcallable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/python37/lib/python3.7/site-packages/IPython/core/magics/extension.py\u001b[0m in \u001b[0;36mreload_ext\u001b[0;34m(self, module_str)\u001b[0m\n\u001b[1;32m 61\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mmodule_str\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 62\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mUsageError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Missing module name.'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 63\u001b[0;31m 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\u001b[0mprepended_to_syspath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mipython_extension_dir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 85\u001b[0;31m \u001b[0mmod\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimport_module\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodule_str\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 86\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mmod\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__file__\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstartswith\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mipython_extension_dir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 87\u001b[0m print((\"Loading extensions from {dir} is deprecated. \"\n", + "\u001b[0;32m~/miniconda3/envs/python37/lib/python3.7/importlib/__init__.py\u001b[0m in \u001b[0;36mimport_module\u001b[0;34m(name, package)\u001b[0m\n\u001b[1;32m 125\u001b[0m \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0mlevel\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_bootstrap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_gcd_import\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpackage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 129\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/python37/lib/python3.7/importlib/_bootstrap.py\u001b[0m in \u001b[0;36m_gcd_import\u001b[0;34m(name, package, level)\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/python37/lib/python3.7/importlib/_bootstrap.py\u001b[0m in \u001b[0;36m_find_and_load\u001b[0;34m(name, import_)\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/python37/lib/python3.7/importlib/_bootstrap.py\u001b[0m in \u001b[0;36m_find_and_load_unlocked\u001b[0;34m(name, import_)\u001b[0m\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'version_information'" + ] } ], "source": [ @@ -1552,9 +1543,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [] } @@ -1576,7 +1565,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.0" } }, "nbformat": 4, diff --git a/lessons/lesson05.ipynb b/lessons/lesson05.ipynb index 542ab24..aef07a6 100644 --- a/lessons/lesson05.ipynb +++ b/lessons/lesson05.ipynb @@ -6,14 +6,24 @@ "source": [ "## Lesson 5 - Printing, Strings, Numbers\n", "\n", - "* Shaw Exercises 1-10\n", - "* Lutz Chapters 1-7" + "### Readings\n", + "\n", + "* Shaw: [Exercises 1-10](https://learnpythonthehardway.org/python3/ex1.html)\n", + "* Lutz: Chapters 1-7\n", + "\n", + "### Table of Contents\n", + "\n", + "* [Strings](#strings)\n", + "* [Numbers and Math](#numbers)\n", + "* [Help](#help)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Strings" ] }, @@ -1010,15 +1020,24 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "##### And there are other ways!\n", + "#### But wait, there's more!\n", "\n", - "See https://stackoverflow.com/questions/5082452/python-string-formatting-vs-format" + "There are now three main ways to format strings. See [Real Python](https://realpython.com/python-f-strings/) for more information." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Option 1: %-formatting** β€” Original Python syntax." ] }, { "cell_type": "code", "execution_count": 50, - "metadata": {}, + "metadata": { + "scrolled": false + }, "outputs": [ { "data": { @@ -1032,7 +1051,14 @@ } ], "source": [ - "f\"Have you heard? {a} is the {b}.\"" + "\"Have you heard? %s is the %s.\" % (a, b)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Option 2: str.format()** – Introduced in Python 2.6." ] }, { @@ -1052,19 +1078,110 @@ } ], "source": [ - "\"Have you heard? {0} is the {1}.\".format(a, b)" + "\"Have you heard? {} is the {}.\".format(a, b)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Have you heard? Word is the Bird.'" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"Have you heard? {1} is the {0}.\".format(a, b)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Have you heard? Bird is the Word.'" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"Have you heard? {animal} is the {thing}.\".format(animal=a, thing=b)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Math" + "**Option 3: f-strings** – Introduced in Python 3.6." ] }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 54, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'Have you heard? Bird is the Word.'" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "f\"Have you heard? {a} is the {b}.\"" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Have you heard? BIRD is the WORD.'" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "f\"Have you heard? {a.upper()} is the {b.upper()}.\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "### Numbers and Math" + ] + }, + { + "cell_type": "code", + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -1073,7 +1190,7 @@ "0.6" ] }, - "execution_count": 52, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -1084,7 +1201,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 57, "metadata": {}, "outputs": [ { @@ -1093,7 +1210,7 @@ "8" ] }, - "execution_count": 53, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -1111,7 +1228,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 58, "metadata": {}, "outputs": [], "source": [ @@ -1124,7 +1241,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 59, "metadata": {}, "outputs": [ { @@ -1143,7 +1260,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -1160,7 +1277,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -1177,7 +1294,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -1194,7 +1311,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 63, "metadata": {}, "outputs": [ { @@ -1211,7 +1328,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 64, "metadata": { "scrolled": true }, @@ -1237,7 +1354,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 65, "metadata": {}, "outputs": [], "source": [ @@ -1246,7 +1363,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 66, "metadata": {}, "outputs": [ { @@ -1255,7 +1372,7 @@ "4" ] }, - "execution_count": 62, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } @@ -1266,7 +1383,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -1275,7 +1392,7 @@ "5" ] }, - "execution_count": 63, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -1286,7 +1403,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 68, "metadata": {}, "outputs": [ { @@ -1295,7 +1412,7 @@ "120" ] }, - "execution_count": 64, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } @@ -1306,7 +1423,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 69, "metadata": { "scrolled": true }, @@ -1317,7 +1434,7 @@ "3.141592653589793" ] }, - "execution_count": 65, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } @@ -1328,7 +1445,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 70, "metadata": {}, "outputs": [ { @@ -1337,7 +1454,7 @@ "9.219544457292887" ] }, - "execution_count": 66, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -1348,7 +1465,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 71, "metadata": {}, "outputs": [ { @@ -1375,7 +1492,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 72, "metadata": {}, "outputs": [], "source": [ @@ -1384,7 +1501,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 73, "metadata": {}, "outputs": [], "source": [ @@ -1393,7 +1510,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 74, "metadata": { "scrolled": true }, @@ -1404,7 +1521,7 @@ "0.6394267984578837" ] }, - "execution_count": 70, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -1415,7 +1532,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 75, "metadata": { "scrolled": false }, @@ -1426,7 +1543,7 @@ "1" ] }, - "execution_count": 71, + "execution_count": 75, "metadata": {}, "output_type": "execute_result" } @@ -1437,7 +1554,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -1446,7 +1563,7 @@ "5" ] }, - "execution_count": 72, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } @@ -1457,7 +1574,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 77, "metadata": {}, "outputs": [ { @@ -1479,7 +1596,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 78, "metadata": {}, "outputs": [], "source": [ @@ -1508,7 +1625,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 79, "metadata": {}, "outputs": [ { @@ -1517,7 +1634,7 @@ "'My sources say no'" ] }, - "execution_count": 75, + "execution_count": 79, "metadata": {}, "output_type": "execute_result" } @@ -1530,12 +1647,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Getting help (or use IPython and tab-complete!)" ] }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 80, "metadata": { "scrolled": false }, @@ -1560,9 +1679,9 @@ "line str aaa,bbb,ccc,ddd\n", "line2 str aaa,bbb,ccc,ddd\n", "magic_8_ball list n=20\n", - "math module h.cpython-36m-darwin.so'>\n", + "math module h.cpython-37m-darwin.so'>\n", "pi float 3.141592653589793\n", - "random module lib/python3.6/random.py'>\n" + "random module lib/python3.7/random.py'>\n" ] } ], @@ -1573,7 +1692,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 81, "metadata": {}, "outputs": [], "source": [ @@ -1589,7 +1708,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 82, "metadata": {}, "outputs": [], "source": [ @@ -1605,7 +1724,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 83, "metadata": {}, "outputs": [], "source": [ @@ -1615,7 +1734,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 84, "metadata": {}, "outputs": [], "source": [ @@ -1625,7 +1744,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 85, "metadata": {}, "outputs": [], "source": [ @@ -1651,7 +1770,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.0" } }, "nbformat": 4, diff --git a/lessons/lesson06.ipynb b/lessons/lesson06.ipynb index 824d925..20e8ed5 100644 --- a/lessons/lesson06.ipynb +++ b/lessons/lesson06.ipynb @@ -6,15 +6,26 @@ "source": [ "## Lesson 6 - Taking Input, Reading and Writing Files, Functions\n", "\n", - "* Shaw Exercises 11-26\n", - "* Lutz Chapters 9,14-17" + "### Readings\n", + "\n", + "* Shaw: [Exercises 11-26](https://learnpythonthehardway.org/python3/ex11.html)\n", + "* Lutz: Chapters 9, 14-17\n", + "\n", + "### Table of Contents\n", + "\n", + "* [Taking Input](#input)\n", + "* [Reading Files](#reading)\n", + "* [Writing Files](#writing)\n", + "* [Functions](#functions)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Taking input" + "\n", + "\n", + "### Taking Input" ] }, { @@ -245,7 +256,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Reading files" + "\n", + "\n", + "### Reading Files" ] }, { @@ -663,7 +676,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Writing files" + "\n", + "\n", + "### Writing Files" ] }, { @@ -794,6 +809,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Functions" ] }, @@ -1355,7 +1372,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.0" } }, "nbformat": 4, diff --git a/lessons/lesson08.ipynb b/lessons/lesson08.ipynb index 0a0040f..ab38556 100644 --- a/lessons/lesson08.ipynb +++ b/lessons/lesson08.ipynb @@ -559,39 +559,17 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### IPython Notebook\n", - "\n", - "Using the IPython notebook is similar to using the IPython interpreter, but the user interface is a bit different. It takes some getting used to, but it's worth it. The notebook will let you compartmentalize your code, provide rich comments with Markdown, and see output plots inline (using the magic `%matplotlib inline`).\n", - "\n", - "Shortcut | Action\n", - ":-- |:--\n", - "Shift-Enter| run cell\n", - "Ctrl-Enter | run cell in-place\n", - "Alt-Enter | run cell, insert below\n", - "Ctrl-m x | cut cell\n", - "Ctrl-m c | copy cell\n", - "Ctrl-m v | paste cell\n", - "Ctrl-m d | delete cell\n", - "Ctrl-m z | undo last cell deletion\n", - "Ctrl-m - | split cell\n", - "Ctrl-m a | insert cell above\n", - "Ctrl-m b | insert cell below\n", - "Ctrl-m o | toggle output\n", - "Ctrl-m O | toggle output scroll\n", - "Ctrl-m l | toggle line numbers\n", - "Ctrl-m s | save notebook\n", - "Ctrl-m j | move cell down\n", - "Ctrl-m k | move cell up\n", - "Ctrl-m y | code cell\n", - "Ctrl-m m | markdown cell\n", - "Ctrl-m t | raw cell\n", - "Ctrl-m 1-6 | heading 1-6 cell\n", - "Ctrl-m p | select previous\n", - "Ctrl-m n | select next\n", - "Ctrl-m i | interrupt kernel\n", - "Ctrl-m . | restart kernel\n", - "Ctrl-m h | show keyboard shortcuts" + "#### Jupyter Notebook Command Review\n", + "\n", + "![commands](https://media.cheatography.com/storage/thumb/weidadeyue_jupyter-notebook.750.jpg)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -611,7 +589,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.0" } }, "nbformat": 4, diff --git a/schedule.tsv b/schedule.tsv index a311180..c8233b0 100644 --- a/schedule.tsv +++ b/schedule.tsv @@ -7,7 +7,7 @@ Lesson | Title | Readings | Topics | Assignment [5](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson05.ipynb) | Python Basics, Strings, Printing | Shaw: [Ex1-10](https://learnpythonthehardway.org/python3/ex1.html); Lutz: Ch1-7 | Python scripts, error messages, printing strings and variables, strings and string operations, numbers and mathematical expressions, getting help with commands and Ipython | -- [6](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson06.ipynb) | Taking Input, Reading and Writing Files, Functions | Shaw: [Ex11-26](https://learnpythonthehardway.org/python3/ex11.html); Lutz: Ch9,14-17 | Taking input, reading files, writing files, functions | Assignment 3: Python Fundamentals I [7](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson07.ipynb) | Logic, Loops, Lists, Dictionaries, and Tuples | Shaw: [Ex27-39](https://learnpythonthehardway.org/python3/ex27.html); Lutz: Ch8-13 | Logic and loops, lists and list comprehension, tuples, dictionaries, other types | -- -[8](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson08.ipynb) | Python and IPython Review | McKinney: [Ch1](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/preliminaries/intro_html), [Ch2](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/python-language-basics-ipython-and-jupyter-notebooks/intro_python_environment_html), [Ch3](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/built-in-data-structures-functions-and-files/intro_python_stdlib_html) | Review of Python commands, IPython review -- enhanced interactive Python shells with support for data visualization, distributed and parallel computation and a browser-based notebook with support for code, text, mathematical expressions, inline plots and other rich media | Assignment 4: Python Fundamentals II +[8](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson08.ipynb) | Python and IPython Review | McKinney: [Ch1](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/preliminaries/intro_html), [Ch2](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/python-language-basics-ipython-and-jupyter-notebooks/intro_python_environment_html), [Ch3](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/built-in-data-structures-functions-and-files/intro_python_stdlib_html) | Review of Python commands, IPython review | Assignment 4: Python Fundamentals II [9](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson09.ipynb) | Regular Expressions | Kuchling: [Regular Expression HOWTO](https://docs.python.org/3/howto/regex.html) | Regular expression syntax, Command-line tools: `grep`, `sed`, `awk`, `perl -e`, Python examples: built-in and `re` module | -- [10](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson10.ipynb) | Numpy, Pandas and Matplotlib Crashcourse | Pratik: [Introduction to Numpy and Pandas](https://cloudxlab.com/blog/numpy-pandas-introduction/) | Numpy, Pandas, and Matplotlib overview | Assignment 5: Regular Expressions [11](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson11.ipynb) | Pandas Part I | McKinney: [Ch4](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/numpy-basics-arrays-and-vectorized-computation/numpy_html), [Ch5](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/getting-started-with-pandas/pandas_html) | Introduction to NumPy and Pandas: `ndarray`, `Series`, `DataFrame`, `index`, `columns`, `dtypes`, `info`, `describe`, `read_csv`, `head`, `tail`, `loc`, `iloc`, `ix`, `to_datetime` | -- From d686536fb7c037d352fe3aeffda022091c1f1e28 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Wed, 10 Oct 2018 09:35:33 -0700 Subject: [PATCH 17/78] windows support added to lesson 4 --- images/jupyter_for_windows.png | Bin 0 -> 161883 bytes images/jupyter_shortcuts_command_mode.png | Bin 0 -> 264753 bytes images/jupyter_shortcuts_edit_mode.png | Bin 0 -> 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zXyBx(J9RE}u34z=W+eC3{ALGq()IT?rw8kwU}d2l_Zao7c#C-}4um}~+}0*O+liUH zXt{4}+fZsTT!zS=Sr|S|MDlK8NijOu3V%;QrtDp4ey}#2ucLOvdbJ#~(<5$)mmOJ$zA2K=p>G&IT$t}ml@g;;zmeZ^ z8WW?gY04jyU-QoLT&drFyYS6OPS}n4$rbCYm-J*L{x93o14@6BRH@6Ry@*P^h?!yH z8;9Xh3b_%#DUkPEn^2qIa4=V=d`hzRavzaVRtw)Y(!4A;sQze;>?%D?kDDz{JiIiP zg%>+n{zxnlzTu!ZMRP0>K z-{elA7oA|tepA#MPC4ze^X=44RMEAT z#FkID+*HrC-SpIKx1Bi(PMp~=HWKc>ovwA~pLk@AFz9$1dVY^07o~jRx<{#Q&e-H< zi+Q+l9kusxzCPZzS>bL^^!??8mbhCUoUR2ujPAJRl3K}h^sr3)w7IAn!o^(k{8nsy zUO0;9`EK~6r=uMo+-iUt1yjbr)z$S`5BQ#Vs#OQ6Y^OtqZwBvbRLM@0@6=G-&5|__ z&!3im=s3hBqu|(DXOPwIo2@eJkXxL%W6crnQsEcfChE10k(*IbMEjV~JwjCwj&gea>P9QzXv)4E ztw^m;iJ$d#ZQLkQt0laQwx3ve=Is3@LciAS_VXQB(PZwsGiM#TpRYgcCTTCo&r z^K8W*mj$NwV9e7ZTm?NlC__l?*7r;6PR#~-{%C^w2R4e&X=|F!|z!`m7AQD?VB^?vj}ZA7Iq2pvUb#ftm;n|6xLH2Pj` zN^kkJwnimlFaYecJ-KoyR7VAT2m?6X>d) z-RI;fmsNxnZpS-cf#;9o`I+!a;C|I#US+e=pY{pJWm=WYC)Ta;{yggmXrS#_xHaKH zZvM~f@VE2uPFtkq`ykEC$v\n", "\n", - "First, install Miniconda3: . By default, environments you create will use Python 3, but you can specify Python 2 if required. To launch Conda: if you are using Windows, open the Anaconda Prompt (instead of PowerShell) from the Start menu; if you are using macOS or Linux, the conda command can be accessed from your Terminal.\n", + "Install Miniconda3: . By default, environments you create will use Python 3, but you can specify Python 2 if required. \n", "\n", - "Then, create a conda environment. Let's make an environment called `python3` for this class that includes Python 3 and Jupyter. \n", + "To run Conda: Windows users, open the Anaconda Prompt (instead of PowerShell) from the Start menu and run `conda ...` commands. macOS and Linux users, open Terminal and run `conda ...` commands.\n", + "\n", + "Create a Conda environment. Let's make an environment called `python3` for this class that includes Python 3 and Jupyter. \n", "\n", "```\n", "conda create -n python3 python=3 jupyter\n", @@ -115,14 +117,49 @@ "\n", "#### Jupyter (IPython) notebooks\n", "\n", - "To launch a Jupyter notebook, go to terminal and type:\n", + "For macOS and Linux users, to launch a Jupyter notebook, open Terminal and type:\n", "\n", "```\n", "source activate python3\n", "jupyter notebook\n", "```\n", "\n", - "Open up a new notebook, then check out **Help > User Interface Tour** and **Help > Keyboard Shortcuts**." + "For Windows users, to launch a Jupyter notebook, open Anaconda Prompt and type:\n", + "\n", + "```\n", + "conda activate python3\n", + "jupyter notebook\n", + "```\n", + "\n", + "Open up a new notebook, then check out **Help > User Interface Tour** and **Help > Keyboard Shortcuts**. See screenshots `jupyter_shortcuts_*` in `images`. When you are done exploring, delete the notebook `Untitled.ipynb` that you just created." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Downloading Today's Lesson\n", + "\n", + "At the start of every class, we will follow a regular routine of navigating to our lessons folder, downloading the day's lesson, activating our Conda environment, and launching Jupyter notebook.\n", + "\n", + "For macOS and Linux users:\n", + "\n", + "1. Open Terminal\n", + "2. `cd sio209/lessons`\n", + "3. `curl -O LINKTOLESSON`\n", + "4. `source activate python3`\n", + "5. `jupyter notebook`\n", + "\n", + "For Windows users:\n", + "\n", + "1. Open Git Bash\n", + "2. `cd sio209/lessons`\n", + "3. `curl -O LINKTOLESSON`\n", + "4. Open Anaconda Prompt\n", + "5. `conda activate python3`\n", + "6. `jupyter notebook`\n", + "\n", + "Windows users, see screenshot `jupyter_for_windows.png` in `images`." ] }, { From cf7162d2d7f6d1253c9437dd55326a37e73ad7ba Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Wed, 10 Oct 2018 13:11:20 -0700 Subject: [PATCH 18/78] instructions to go through last part of Lesson 4 on your own --- assignments/assignment2.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/assignments/assignment2.md b/assignments/assignment2.md index aa36295..8aceea7 100644 --- a/assignments/assignment2.md +++ b/assignments/assignment2.md @@ -2,7 +2,9 @@ Work through these tasks. *How to provided your answer is specificed in italics.* Turn in a single text file of your answers. Please name your file `2_first_last.txt` or `2_first_last.md` (substitute your first and last name). -Note: This assignment assumes you have already installed [Miniconda 3](https://conda.io/miniconda.html) (Miniconda for Python 3) and created an environment called `python3` (we did this in Lesson 4). If you installed Miniconda 2 (Miniconda for Python 2), you should probably delete it and install Miniconda 3. Miniconda 3 will still let you create environments using Python 2 if you need to. +Note 1: This assignment assumes you have already installed [Miniconda 3](https://conda.io/miniconda.html) (Miniconda for Python 3) and created an environment called `python3` (we did this in Lesson 4). If you installed Miniconda 2 (Miniconda for Python 2), you should probably delete it and install Miniconda 3. Miniconda 3 will still let you create environments using Python 2 if you need to. + +Note 2: This assignment assumes you have completed Lesson 4. Since we ran out of time to complete the Python Crash Course in class, please go through this on your own. You could also watch last year's YouTube videos from Lesson 4. #### A. Working with Conda From 28e17d155f64756734fa51f5b23877d3a9d468a0 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Wed, 10 Oct 2018 15:32:31 -0700 Subject: [PATCH 19/78] Update assignment2.md --- assignments/assignment2.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/assignments/assignment2.md b/assignments/assignment2.md index 8aceea7..2a22c59 100644 --- a/assignments/assignment2.md +++ b/assignments/assignment2.md @@ -32,4 +32,4 @@ Note 2: This assignment assumes you have completed Lesson 4. Since we ran out of 1. Activate your `python2` conda environment and then launch the Jupyter notebook server. Which kinds of notebooks can you create? Open a Terminal within the notebook environment; what is your Python version? 2. Activate your `python3` conda environment and then launch the Jupyter notebook server. Which kinds of notebooks can you create? Open a Terminal within the notebook environment; what is your Python version? -3. Pick 1 of the 4 sections in Loops and Control Structures we covered in Lesson 4: boolean and comparison operations, if tests, while loops, and for loops. Using a Jupyter notebook in your `python3` environment, type the code from that section in one or more cells, then execute it. Put a header above the code cell using a Markdown cell. Practice creating, deleting, and moving cells using the keyboard shortcuts. +3. Pick 1 of the 4 sections in Loops and Control Structures we covered in Lesson 4: boolean and comparison operations, if tests, while loops, and for loops. Using a Jupyter notebook in your `python3` environment, type the code from that section in one or more cells, then run those cells. Put a header above the code cell using a Markdown cell. Practice creating, deleting, and moving cells using the keyboard shortcuts. From 6651224b6c7f221532974cadf44ee599948a119c Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Sat, 13 Oct 2018 23:17:40 -0600 Subject: [PATCH 20/78] adding answers for assignment 1 --- README.md | 2 +- assignments/answers/assignment1_answers.md | 135 +++++++++++++++++++++ schedule.tsv | 2 +- 3 files changed, 137 insertions(+), 2 deletions(-) create mode 100644 assignments/answers/assignment1_answers.md diff --git a/README.md b/README.md index 328e76b..475d25d 100644 --- a/README.md +++ b/README.md @@ -147,7 +147,7 @@ Lesson | Title | Readings | Topics | Assignment [1](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson01.md) | Overview | -- | Introductions and overview of course | Pre-course survey; Acquire texts [2](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson02.md) | Command Line Part I | Shaw: [Introduction](https://learnpythonthehardway.org/python3/intro.html),
[Ex0](https://learnpythonthehardway.org/python3/ex0.html), [Appendix A](https://learnpythonthehardway.org/python3/appendixa.html) | Command line crash course; Text editors | Assignment 1: Basic Shell Commands [3](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson03.md) | Command Line Part II | Yale: [The 10 Most Important Linux Commands](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/the_10_most_important_linux_commands.md) | Advanced commands in the bash shell | -- -[4](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson04.ipynb) | Conda, IPython, and Jupyter Notebooks | Geohackweek: [Introduction to Conda](https://geohackweek.github.io/Introductory/01-conda-tutorial/) | Conda tutorial including Conda environments, Python packages, and PIP, Python and IPython in the command line, Jupyter notebook tutorial and Python crash course | Assignment 2: Bash, Conda, IPython, and Jupyter +[4](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson04.ipynb) | Conda, IPython, and Jupyter Notebooks | Geohackweek: [Introduction to Conda](https://geohackweek.github.io/Introductory/01-conda-tutorial/) | Conda tutorial including Conda environments, Python packages, and PIP; Python and IPython in the command line; Jupyter notebook tutorial; Python crash course | Assignment 2: Bash, Conda, IPython, and Jupyter [5](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson05.ipynb) | Python Basics, Strings, Printing | Shaw: [Ex1-10](https://learnpythonthehardway.org/python3/ex1.html); Lutz: Ch1-7 | Python scripts, error messages, printing strings and variables, strings and string operations, numbers and mathematical expressions, getting help with commands and Ipython | -- [6](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson06.ipynb) | Taking Input, Reading and Writing Files, Functions | Shaw: [Ex11-26](https://learnpythonthehardway.org/python3/ex11.html); Lutz: Ch9,14-17 | Taking input, reading files, writing files, functions | Assignment 3: Python Fundamentals I [7](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson07.ipynb) | Logic, Loops, Lists, Dictionaries, and Tuples | Shaw: [Ex27-39](https://learnpythonthehardway.org/python3/ex27.html); Lutz: Ch8-13 | Logic and loops, lists and list comprehension, tuples, dictionaries, other types | -- diff --git a/assignments/answers/assignment1_answers.md b/assignments/answers/assignment1_answers.md new file mode 100644 index 0000000..0e9a6f8 --- /dev/null +++ b/assignments/answers/assignment1_answers.md @@ -0,0 +1,135 @@ +### Answers for Assignment 1 - Basic Shell Commands + +Execute these commands in your terminal. Copy and paste the commands and output (i.e., your terminal session) to a text file, then save and submit this text file as your completed assignment. You may use plain text (.txt) or Markdown (.md) format. Please name your file `1_first_last.txt` or `1_first_last.md` (substitute your first and last name). + +**Basic commands** + +1. Navigate to your working directory for the class. +2. Within that directory, create a temporary test directory. +3. Create a file using one method I showed you. +4. Create a file using a different method I showed you. +5. Rename one of the files. +6. Copy one of the files. +7. Delete one of the files. +8. Delete the temporary directory. + +``` +$ cd ~/sio209 +$ mkdir test +$ cd test +$ cat > file1 +I am creating a file using cat. +^C +$ touch file2 +$ nano file2 +(add text using nano) +$ mv file2 file3 +$ cp file1 file2 +$ rm file1 +$ cd .. +$ rm -r test +``` + +**Working with commands** + +1. Learn more about a command from class using a Unix command. +2. Learn more about a command from class using a Google search. +3. Find out where the commands `mv` and `cp` are located on your computer. +4. Get a list of the commands you've typed already. +5. See which processes are running on your computer. +6. What happens when you type `Tab` in the middle of typing a command? +7. What happens when you type `Tab` in the middle of typing a file name or path? + +``` +$ man cd +$ help cd +(google "unix cd command") +$ which mv +$ which cp +$ history +$ top +$ hist -> history +$ cd ~/sio -> cd ~/sio209 +``` + +**Setting up your bash environment** + +1. Download a text editor such as []() or [Sublime Text](https://www.sublimetext.com) if you haven't already. +2. Using your text editor, customize your terminal by editing the file `.bash_profile` in your home directory. +3. Source your bash profile file with the command `source ~/.bash_profile`. +4. Open a new terminal to make sure it automatically sources your bash profile file. You may have to change the preferences in the Terminal app. + +``` +$ nano ~/.bash_profile +$ source ~/.bash_profile +$ exit +``` + +**More commands** + +1. Print the first 5 lines of a text file. +2. Print the last 10 commands you entered. +3. View the contents of a file without printing anything to the screen. +4. Open a file in its designated application. +5. Determine the kind/type of a file. +6. Search for a word in a file. +7. Get only the third column of a tab-delimited file. (To insert a tab character, type `Ctrl-V` and then `Tab`.) +8. Using a different method, get the first field of a tab-delimited file and save it as a new file. + +``` +$ head -n 5 FILE +$ history | tail +$ less FILE +$ open FILE +$ file FILE +$ grep WORD FILE +$ cut -d ' ' -f 3 FILE +$ cat FILE | awk '{FS="\t"}; {print $3}' > NEWFILE +$ cat FILE | perl -alne 'print $F[2]' > NEWFILE +``` + +**Paths and variables** + +1. Navigate to root and home directories using absolute paths. +2. Navigate to root and home directories using relative paths. +3. Store an integer as a shell variable then print it. +4. Store a file name as a shell variable. +5. Print your current path variable. +6. Print your home directory. +7. Write a `for` loop to count to 10. + +``` +$ cd / +$ cd /Users/luke +$ cd ../.. +$ cd ~ +$ A=5 +$ echo $A +$ B='myfile.txt' +$ echo $PATH +$ echo $HOME +$ for i in {1..10}; do echo $i; done +``` + +**Executing bash scripts and dot-files** + +1. Write a bash script that uses the commands `mkdir`, `cat`, `mv`, `echo`, and a `for` loop. +2. Execute you bash script using the terminal. + +``` +# myscript.sh +mkdir mytempdir +cd mytempdir +echo "some text" > myfile +cat myfile +mv myfile myfile2 +for i in line1 line2 line3 +do + echo $i >> myfile2 +done +cat myfile2 +``` + +``` +$ bash myscript.sh +``` diff --git a/schedule.tsv b/schedule.tsv index c8233b0..14f50e5 100644 --- a/schedule.tsv +++ b/schedule.tsv @@ -3,7 +3,7 @@ Lesson | Title | Readings | Topics | Assignment [1](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson01.md) | Overview | -- | Introductions and overview of course | Pre-course survey; Acquire texts [2](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson02.md) | Command Line Part I | Shaw: [Introduction](https://learnpythonthehardway.org/python3/intro.html),
[Ex0](https://learnpythonthehardway.org/python3/ex0.html), [Appendix A](https://learnpythonthehardway.org/python3/appendixa.html) | Command line crash course; Text editors | Assignment 1: Basic Shell Commands [3](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson03.md) | Command Line Part II | Yale: [The 10 Most Important Linux Commands](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/the_10_most_important_linux_commands.md) | Advanced commands in the bash shell | -- -[4](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson04.ipynb) | Conda, IPython, and Jupyter Notebooks | Geohackweek: [Introduction to Conda](https://geohackweek.github.io/Introductory/01-conda-tutorial/) | Conda tutorial including Conda environments, Python packages, and PIP, Python and IPython in the command line, Jupyter notebook tutorial and Python crash course | Assignment 2: Bash, Conda, IPython, and Jupyter +[4](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson04.ipynb) | Conda, IPython, and Jupyter Notebooks | Geohackweek: [Introduction to Conda](https://geohackweek.github.io/Introductory/01-conda-tutorial/) | Conda tutorial including Conda environments, Python packages, and PIP; Python and IPython in the command line; Jupyter notebook tutorial; Python crash course | Assignment 2: Bash, Conda, IPython, and Jupyter [5](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson05.ipynb) | Python Basics, Strings, Printing | Shaw: [Ex1-10](https://learnpythonthehardway.org/python3/ex1.html); Lutz: Ch1-7 | Python scripts, error messages, printing strings and variables, strings and string operations, numbers and mathematical expressions, getting help with commands and Ipython | -- [6](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson06.ipynb) | Taking Input, Reading and Writing Files, Functions | Shaw: [Ex11-26](https://learnpythonthehardway.org/python3/ex11.html); Lutz: Ch9,14-17 | Taking input, reading files, writing files, functions | Assignment 3: Python Fundamentals I [7](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson07.ipynb) | Logic, Loops, Lists, Dictionaries, and Tuples | Shaw: [Ex27-39](https://learnpythonthehardway.org/python3/ex27.html); Lutz: Ch8-13 | Logic and loops, lists and list comprehension, tuples, dictionaries, other types | -- From 7838e102ccc12bd1895e91fc6313e18a2208c7f0 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Sat, 13 Oct 2018 23:43:51 -0600 Subject: [PATCH 21/78] updates to assignment 1 and answers --- assignments/answers/assignment1_answers.md | 68 +++++++++++----------- assignments/assignment1.md | 24 ++++---- 2 files changed, 47 insertions(+), 45 deletions(-) diff --git a/assignments/answers/assignment1_answers.md b/assignments/answers/assignment1_answers.md index 0e9a6f8..d68c3bd 100644 --- a/assignments/answers/assignment1_answers.md +++ b/assignments/answers/assignment1_answers.md @@ -1,8 +1,8 @@ ### Answers for Assignment 1 - Basic Shell Commands -Execute these commands in your terminal. Copy and paste the commands and output (i.e., your terminal session) to a text file, then save and submit this text file as your completed assignment. You may use plain text (.txt) or Markdown (.md) format. Please name your file `1_first_last.txt` or `1_first_last.md` (substitute your first and last name). +Do the exercises below. *How to provided your answer is specificed in italics.* Copy your answer to a text file then save and submit this text file as your completed assignment. You may use plain text (.txt) or Markdown (.md) format. Please name your file `1_first_last.txt` or `1_first_last.md` (substitute your first and last name). -**Basic commands** +#### A. Basic commands 1. Navigate to your working directory for the class. 2. Within that directory, create a temporary test directory. @@ -12,6 +12,10 @@ Execute these commands in your terminal. Copy and paste the commands and output 6. Copy one of the files. 7. Delete one of the files. 8. Delete the temporary directory. +9. Get a list of the commands you've typed already. +10. See which processes are running on your computer. + +*Copy your terminal commands and output as your answers.* ``` $ cd ~/sio209 @@ -28,44 +32,36 @@ $ cp file1 file2 $ rm file1 $ cd .. $ rm -r test +$ history +$ top ``` -**Working with commands** +#### B. Working with commands -1. Learn more about a command from class using a Unix command. -2. Learn more about a command from class using a Google search. -3. Find out where the commands `mv` and `cp` are located on your computer. -4. Get a list of the commands you've typed already. -5. See which processes are running on your computer. -6. What happens when you type `Tab` in the middle of typing a command? -7. What happens when you type `Tab` in the middle of typing a file name or path? +1. Pick a command from class. Using a Unix command to find out, what does this command do? +2. Pick a command from class. Using a Google search to find out, what does this command do? +3. Where are the commands `mv` and `cp` are located on your computer? +4. What happens when you type `Tab` in the middle of typing a command? +5. What happens when you type `Tab` in the middle of typing a file name or path? -``` -$ man cd -$ help cd -(google "unix cd command") -$ which mv -$ which cp -$ history -$ top -$ hist -> history -$ cd ~/sio -> cd ~/sio209 -``` +*Write your answers.* -**Setting up your bash environment** +1. `cd` – Unix commands `man cd`, `help cd`, and `cd --help` will tell us what `cd` does, which is to change directories in different ways. +2. `ls` – Googling "unix command ls" tells us how the `ls` command works to list directory contents. +3. The commands `which mv` and `which cp` tell us that these commands are in `/bin` on our computer. +4. Typing `Tab` in the middle of a command attemps to complete the command we are writing. +5. Typing `Tab` in the middle of a file name or path attemps to complete the file name or path we are writing. -1. Download a text editor such as []() or [Sublime Text](https://www.sublimetext.com) if you haven't already. -2. Using your text editor, customize your terminal by editing the file `.bash_profile` in your home directory. +#### C. Setting up your bash environment + +1. Download a text editor such as [Atom](https://atom.io) or [Sublime Text](https://www.sublimetext.com) if you haven't already. +2. Using your text editor, customize your terminal by editing the file `.bash_profile` in your home directory. Alternatively, you can edit the file `.bashrc` in your home directory and have it automatically sourced by `.bash_profile` (see Lesson 2). 3. Source your bash profile file with the command `source ~/.bash_profile`. 4. Open a new terminal to make sure it automatically sources your bash profile file. You may have to change the preferences in the Terminal app. -``` -$ nano ~/.bash_profile -$ source ~/.bash_profile -$ exit -``` +*No answers need be submitted.* -**More commands** +#### D. More commands 1. Print the first 5 lines of a text file. 2. Print the last 10 commands you entered. @@ -76,6 +72,8 @@ $ exit 7. Get only the third column of a tab-delimited file. (To insert a tab character, type `Ctrl-V` and then `Tab`.) 8. Using a different method, get the first field of a tab-delimited file and save it as a new file. +*Copy your terminal commands and output as your answers.* + ``` $ head -n 5 FILE $ history | tail @@ -88,7 +86,7 @@ $ cat FILE | awk '{FS="\t"}; {print $3}' > NEWFILE $ cat FILE | perl -alne 'print $F[2]' > NEWFILE ``` -**Paths and variables** +#### E. Paths and variables 1. Navigate to root and home directories using absolute paths. 2. Navigate to root and home directories using relative paths. @@ -98,6 +96,8 @@ $ cat FILE | perl -alne 'print $F[2]' > NEWFILE 6. Print your home directory. 7. Write a `for` loop to count to 10. +*Copy your terminal commands and output as your answers.* + ``` $ cd / $ cd /Users/luke @@ -111,10 +111,12 @@ $ echo $HOME $ for i in {1..10}; do echo $i; done ``` -**Executing bash scripts and dot-files** +#### F. Executing bash scripts and dot-files 1. Write a bash script that uses the commands `mkdir`, `cat`, `mv`, `echo`, and a `for` loop. -2. Execute you bash script using the terminal. +2. Execute your bash script using the terminal. + +*Copy the text of your bash script and the terminal output as your answers.* ``` # myscript.sh diff --git a/assignments/assignment1.md b/assignments/assignment1.md index 7d7931c..adf0dae 100644 --- a/assignments/assignment1.md +++ b/assignments/assignment1.md @@ -4,8 +4,6 @@ Do the exercises below. *How to provided your answer is specificed in italics.* #### A. Basic commands -*Copy your terminal commands and output as your answers.* - 1. Navigate to your working directory for the class. 2. Within that directory, create a temporary test directory. 3. Create a file using one method I showed you. @@ -17,9 +15,9 @@ Do the exercises below. *How to provided your answer is specificed in italics.* 9. Get a list of the commands you've typed already. 10. See which processes are running on your computer. -#### B. Working with commands +*Copy your terminal commands and output as your answers.* -*Write your answers.* +#### B. Working with commands 1. Pick a command from class. Using a Unix command to find out, what does this command do? 2. Pick a command from class. Using a Google search to find out, what does this command do? @@ -27,18 +25,18 @@ Do the exercises below. *How to provided your answer is specificed in italics.* 4. What happens when you type `Tab` in the middle of typing a command? 5. What happens when you type `Tab` in the middle of typing a file name or path? -#### C. Setting up your bash environment +*Write your answers.* -*No answers need be submitted.* +#### C. Setting up your bash environment 1. Download a text editor such as [Atom](https://atom.io) or [Sublime Text](https://www.sublimetext.com) if you haven't already. 2. Using your text editor, customize your terminal by editing the file `.bash_profile` in your home directory. Alternatively, you can edit the file `.bashrc` in your home directory and have it automatically sourced by `.bash_profile` (see Lesson 2). 3. Source your bash profile file with the command `source ~/.bash_profile`. 4. Open a new terminal to make sure it automatically sources your bash profile file. You may have to change the preferences in the Terminal app. -#### D. More commands +*No answers need be submitted.* -*Copy your terminal commands and output as your answers.* +#### D. More commands 1. Print the first 5 lines of a text file. 2. Print the last 10 commands you entered. @@ -49,10 +47,10 @@ Do the exercises below. *How to provided your answer is specificed in italics.* 7. Get only the third column of a tab-delimited file. (To insert a tab character, type `Ctrl-V` and then `Tab`.) 8. Using a different method, get the first field of a tab-delimited file and save it as a new file. -#### E. Paths and variables - *Copy your terminal commands and output as your answers.* +#### E. Paths and variables + 1. Navigate to root and home directories using absolute paths. 2. Navigate to root and home directories using relative paths. 3. Store an integer as a shell variable then print it. @@ -61,9 +59,11 @@ Do the exercises below. *How to provided your answer is specificed in italics.* 6. Print your home directory. 7. Write a `for` loop to count to 10. -#### F. Executing bash scripts and dot-files +*Copy your terminal commands and output as your answers.* -*Copy the text of your bash script and the terminal output as your answers.* +#### F. Executing bash scripts and dot-files 1. Write a bash script that uses the commands `mkdir`, `cat`, `mv`, `echo`, and a `for` loop. 2. Execute your bash script using the terminal. + +*Copy the text of your bash script and the terminal output as your answers.* From 4f900bccfd619b1b686a0bbdf9312a87692d2a02 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Sun, 14 Oct 2018 10:38:21 -0600 Subject: [PATCH 22/78] minor update --- lessons/lesson04.ipynb | 89 +++++++++++++++++++++++++++++++----------- 1 file changed, 67 insertions(+), 22 deletions(-) diff --git a/lessons/lesson04.ipynb b/lessons/lesson04.ipynb index cf99b4a..3530d67 100644 --- a/lessons/lesson04.ipynb +++ b/lessons/lesson04.ipynb @@ -801,7 +801,7 @@ "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mn\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mn\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;31mTypeError\u001b[0m: 'tuple' object does not support item assignment" ] } @@ -979,7 +979,7 @@ { "data": { "text/plain": [ - "0.7780764313091308" + "0.9372307799948368" ] }, "execution_count": 41, @@ -999,7 +999,7 @@ { "data": { "text/plain": [ - "array([0.84943052, 0.21125752, 0.32220287, 0.0216243 , 0.0963807 ])" + "array([0.23177273, 0.14321707, 0.50135664, 0.6475225 , 0.67383921])" ] }, "execution_count": 42, @@ -1550,25 +1550,70 @@ "metadata": {}, "outputs": [ { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'version_information'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# first install: pip install version_information\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_line_magic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'reload_ext'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'version_information'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_line_magic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'version_information'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'math, numpy, sys, platform'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/miniconda3/envs/python37/lib/python3.7/site-packages/IPython/core/interactiveshell.py\u001b[0m in \u001b[0;36mrun_line_magic\u001b[0;34m(self, magic_name, line, _stack_depth)\u001b[0m\n\u001b[1;32m 2129\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'local_ns'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getframe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstack_depth\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf_locals\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2130\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuiltin_trap\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2131\u001b[0;31m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2132\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2133\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m\u001b[0m in \u001b[0;36mreload_ext\u001b[0;34m(self, module_str)\u001b[0m\n", - "\u001b[0;32m~/miniconda3/envs/python37/lib/python3.7/site-packages/IPython/core/magic.py\u001b[0m in \u001b[0;36m\u001b[0;34m(f, *a, **k)\u001b[0m\n\u001b[1;32m 185\u001b[0m \u001b[0;31m# but it's overkill for just that one bit of state.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 186\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mmagic_deco\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 187\u001b[0;31m \u001b[0mcall\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 188\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 189\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mcallable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/miniconda3/envs/python37/lib/python3.7/site-packages/IPython/core/magics/extension.py\u001b[0m in \u001b[0;36mreload_ext\u001b[0;34m(self, module_str)\u001b[0m\n\u001b[1;32m 61\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mmodule_str\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 62\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mUsageError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Missing module name.'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 63\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshell\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextension_manager\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreload_extension\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodule_str\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m~/miniconda3/envs/python37/lib/python3.7/site-packages/IPython/core/extensions.py\u001b[0m in \u001b[0;36mreload_extension\u001b[0;34m(self, module_str)\u001b[0m\n\u001b[1;32m 133\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloaded\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodule_str\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 134\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 135\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_extension\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodule_str\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 136\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 137\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_call_load_ipython_extension\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmod\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/miniconda3/envs/python37/lib/python3.7/site-packages/IPython/core/extensions.py\u001b[0m in \u001b[0;36mload_extension\u001b[0;34m(self, module_str)\u001b[0m\n\u001b[1;32m 83\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mmodule_str\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodules\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 84\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mprepended_to_syspath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mipython_extension_dir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 85\u001b[0;31m \u001b[0mmod\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimport_module\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodule_str\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 86\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mmod\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__file__\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstartswith\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mipython_extension_dir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 87\u001b[0m print((\"Loading extensions from {dir} is deprecated. \"\n", - "\u001b[0;32m~/miniconda3/envs/python37/lib/python3.7/importlib/__init__.py\u001b[0m in \u001b[0;36mimport_module\u001b[0;34m(name, package)\u001b[0m\n\u001b[1;32m 125\u001b[0m \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0mlevel\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_bootstrap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_gcd_import\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpackage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 129\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/miniconda3/envs/python37/lib/python3.7/importlib/_bootstrap.py\u001b[0m in \u001b[0;36m_gcd_import\u001b[0;34m(name, package, level)\u001b[0m\n", - "\u001b[0;32m~/miniconda3/envs/python37/lib/python3.7/importlib/_bootstrap.py\u001b[0m in \u001b[0;36m_find_and_load\u001b[0;34m(name, import_)\u001b[0m\n", - "\u001b[0;32m~/miniconda3/envs/python37/lib/python3.7/importlib/_bootstrap.py\u001b[0m in \u001b[0;36m_find_and_load_unlocked\u001b[0;34m(name, import_)\u001b[0m\n", - "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'version_information'" - ] + "data": { + "application/json": { + "Software versions": [ + { + "module": "Python", + "version": "3.7.0 64bit [Clang 6.1.0 (clang-602.0.53)]" + }, + { + "module": "IPython", + "version": "7.0.1" + }, + { + "module": "OS", + "version": "Darwin 16.7.0 x86_64 i386 64bit" + }, + { + "module": "math", + "version": "The 'math' distribution was not found and is required by the application" + }, + { + "module": "numpy", + "version": "1.15.2" + }, + { + "module": "sys", + "version": "The 'sys' distribution was not found and is required by the application" + }, + { + "module": "platform", + "version": "1.0.8" + } + ] + }, + "text/html": [ + "
SoftwareVersion
Python3.7.0 64bit [Clang 6.1.0 (clang-602.0.53)]
IPython7.0.1
OSDarwin 16.7.0 x86_64 i386 64bit
mathThe 'math' distribution was not found and is required by the application
numpy1.15.2
sysThe 'sys' distribution was not found and is required by the application
platform1.0.8
Sun Oct 14 10:35:13 2018 MDT
" + ], + "text/latex": [ + "\\begin{tabular}{|l|l|}\\hline\n", + "{\\bf Software} & {\\bf Version} \\\\ \\hline\\hline\n", + "Python & 3.7.0 64bit [Clang 6.1.0 (clang-602.0.53)] \\\\ \\hline\n", + "IPython & 7.0.1 \\\\ \\hline\n", + "OS & Darwin 16.7.0 x86\\_64 i386 64bit \\\\ \\hline\n", + "math & The 'math' distribution was not found and is required by the application \\\\ \\hline\n", + "numpy & 1.15.2 \\\\ \\hline\n", + "sys & The 'sys' distribution was not found and is required by the application \\\\ \\hline\n", + "platform & 1.0.8 \\\\ \\hline\n", + "\\hline \\multicolumn{2}{|l|}{Sun Oct 14 10:35:13 2018 MDT} \\\\ \\hline\n", + "\\end{tabular}\n" + ], + "text/plain": [ + "Software versions\n", + "Python 3.7.0 64bit [Clang 6.1.0 (clang-602.0.53)]\n", + "IPython 7.0.1\n", + "OS Darwin 16.7.0 x86_64 i386 64bit\n", + "math The 'math' distribution was not found and is required by the application\n", + "numpy 1.15.2\n", + "sys The 'sys' distribution was not found and is required by the application\n", + "platform 1.0.8\n", + "Sun Oct 14 10:35:13 2018 MDT" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ From a334364d36ab34dc3e2d4981e39f12cd01a917a5 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Mon, 15 Oct 2018 14:22:37 -0700 Subject: [PATCH 23/78] changes after class --- lessons/lesson05.ipynb | 476 +++++++++++++++++++++++++++++------------ 1 file changed, 336 insertions(+), 140 deletions(-) diff --git a/lessons/lesson05.ipynb b/lessons/lesson05.ipynb index aef07a6..0f5e04a 100644 --- a/lessons/lesson05.ipynb +++ b/lessons/lesson05.ipynb @@ -684,7 +684,7 @@ "cell_type": "code", "execution_count": 32, "metadata": { - "scrolled": true + "scrolled": false }, "outputs": [ { @@ -710,7 +710,7 @@ { "data": { "text/plain": [ - "'SXYZm'" + "-1" ] }, "execution_count": 33, @@ -719,7 +719,7 @@ } ], "source": [ - "S.replace('pa', 'XYZ')" + "S.find('spa')" ] }, { @@ -730,7 +730,7 @@ { "data": { "text/plain": [ - "'Spam'" + "'SXYZm'" ] }, "execution_count": 34, @@ -739,13 +739,33 @@ } ], "source": [ - "S" + "S.replace('pa', 'XYZ')" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Spam'" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "S" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, "outputs": [], "source": [ "line = 'aaa,bbb,ccc,ddd'" @@ -753,7 +773,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -762,7 +782,7 @@ "'aaa,bbb,ccc,ddd'" ] }, - "execution_count": 36, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -773,7 +793,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -782,7 +802,7 @@ "['aaa', 'bbb', 'ccc', 'ddd']" ] }, - "execution_count": 37, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -793,8 +813,10 @@ }, { "cell_type": "code", - "execution_count": 38, - "metadata": {}, + "execution_count": 39, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { @@ -802,7 +824,7 @@ "'SPAM'" ] }, - "execution_count": 38, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -813,7 +835,27 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'AAA,BBB,CCC,DDD'" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "line.upper()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -822,18 +864,38 @@ "True" ] }, - "execution_count": 39, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "S.isalpha()" + "S.isalnum()" ] }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "line.isalnum()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ @@ -842,7 +904,27 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'aaa,bbb,ccc,ddd\\n'" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "line2" + ] + }, + { + "cell_type": "code", + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -851,7 +933,7 @@ "['aaa', 'bbb', 'ccc', 'ddd\\n']" ] }, - "execution_count": 41, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -862,7 +944,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 46, "metadata": {}, "outputs": [], "source": [ @@ -871,8 +953,10 @@ }, { "cell_type": "code", - "execution_count": 43, - "metadata": {}, + "execution_count": 47, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { @@ -880,7 +964,7 @@ "['aaa', 'bbb', 'ccc', 'ddd']" ] }, - "execution_count": 43, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -889,6 +973,35 @@ "line2.split(',')" ] }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "line3 = 'aaa,bbb,ccc,ddd \\t \\n'" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'aaa,bbb,ccc,ddd'" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "line3.rstrip()" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -898,7 +1011,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ @@ -908,7 +1021,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 51, "metadata": { "scrolled": true }, @@ -919,7 +1032,7 @@ "'Have you heard? Bird is the Word.'" ] }, - "execution_count": 45, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -930,7 +1043,27 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'If we only want one: Bird'" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"If we only want one: %s\" % a" + ] + }, + { + "cell_type": "code", + "execution_count": 53, "metadata": { "scrolled": true }, @@ -941,7 +1074,7 @@ "\"If we only want one: 'Bird'\"" ] }, - "execution_count": 46, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -952,7 +1085,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 54, "metadata": { "scrolled": false }, @@ -963,7 +1096,7 @@ "(\"Let's add 2 + 2. It is\", 4, '.')" ] }, - "execution_count": 47, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -975,7 +1108,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 55, "metadata": { "scrolled": false }, @@ -995,7 +1128,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 56, "metadata": { "scrolled": false }, @@ -1006,7 +1139,7 @@ "'It works better if we write 4.'" ] }, - "execution_count": 49, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -1034,7 +1167,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 57, "metadata": { "scrolled": false }, @@ -1045,7 +1178,7 @@ "'Have you heard? Bird is the Word.'" ] }, - "execution_count": 50, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -1063,7 +1196,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -1072,7 +1205,7 @@ "'Have you heard? Bird is the Word.'" ] }, - "execution_count": 51, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -1083,7 +1216,28 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Have you heard? Bird is the Word.'" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s = \"Have you heard? {} is the {}.\"\n", + "s.format(a, b)" + ] + }, + { + "cell_type": "code", + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -1092,7 +1246,7 @@ "'Have you heard? Word is the Bird.'" ] }, - "execution_count": 52, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } @@ -1103,7 +1257,27 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Have you heard? BIRD is the WORD.'" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"Have you heard? {0} is the {1}.\".format(a.upper(), b.upper())" + ] + }, + { + "cell_type": "code", + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -1112,7 +1286,7 @@ "'Have you heard? Bird is the Word.'" ] }, - "execution_count": 53, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -1121,6 +1295,26 @@ "\"Have you heard? {animal} is the {thing}.\".format(animal=a, thing=b)" ] }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Have you heard? Bird is the Word.'" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"Have you heard? {animal} is the {thing}.\".format(thing=b, animal=a)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1130,7 +1324,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 64, "metadata": { "scrolled": true }, @@ -1141,7 +1335,7 @@ "'Have you heard? Bird is the Word.'" ] }, - "execution_count": 54, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -1152,7 +1346,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 65, "metadata": {}, "outputs": [ { @@ -1161,7 +1355,7 @@ "'Have you heard? BIRD is the WORD.'" ] }, - "execution_count": 55, + "execution_count": 65, "metadata": {}, "output_type": "execute_result" } @@ -1181,7 +1375,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 66, "metadata": {}, "outputs": [ { @@ -1190,7 +1384,7 @@ "0.6" ] }, - "execution_count": 56, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } @@ -1201,7 +1395,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -1210,7 +1404,7 @@ "8" ] }, - "execution_count": 57, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -1228,7 +1422,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 68, "metadata": {}, "outputs": [], "source": [ @@ -1241,7 +1435,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 69, "metadata": {}, "outputs": [ { @@ -1255,12 +1449,12 @@ } ], "source": [ - "print(\"a = %s\\nb = %s\\nc = %s\" % (a, b, c))" + "print(\"a = {}\\nb = {}\\nc = {}\".format(a, b, c))" ] }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 70, "metadata": {}, "outputs": [ { @@ -1277,7 +1471,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 71, "metadata": {}, "outputs": [ { @@ -1294,7 +1488,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 72, "metadata": {}, "outputs": [ { @@ -1311,7 +1505,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 73, "metadata": {}, "outputs": [ { @@ -1328,7 +1522,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 74, "metadata": { "scrolled": true }, @@ -1354,7 +1548,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 75, "metadata": {}, "outputs": [], "source": [ @@ -1363,7 +1557,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -1372,7 +1566,7 @@ "4" ] }, - "execution_count": 66, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } @@ -1383,7 +1577,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 77, "metadata": {}, "outputs": [ { @@ -1392,7 +1586,7 @@ "5" ] }, - "execution_count": 67, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" } @@ -1403,7 +1597,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 78, "metadata": {}, "outputs": [ { @@ -1412,7 +1606,7 @@ "120" ] }, - "execution_count": 68, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } @@ -1423,7 +1617,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 79, "metadata": { "scrolled": true }, @@ -1434,7 +1628,7 @@ "3.141592653589793" ] }, - "execution_count": 69, + "execution_count": 79, "metadata": {}, "output_type": "execute_result" } @@ -1445,7 +1639,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 80, "metadata": {}, "outputs": [ { @@ -1454,7 +1648,7 @@ "9.219544457292887" ] }, - "execution_count": 70, + "execution_count": 80, "metadata": {}, "output_type": "execute_result" } @@ -1465,7 +1659,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 81, "metadata": {}, "outputs": [ { @@ -1480,7 +1674,7 @@ "source": [ "pi = math.pi\n", "f = math.sqrt(85)\n", - "print(\"pi = %s\\nsqrt(85) = %s\" % (pi, f))" + "print(\"pi = {}\\nsqrt(85) = {}\".format(pi, f))" ] }, { @@ -1492,7 +1686,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 82, "metadata": {}, "outputs": [], "source": [ @@ -1501,7 +1695,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 83, "metadata": {}, "outputs": [], "source": [ @@ -1510,7 +1704,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 84, "metadata": { "scrolled": true }, @@ -1521,7 +1715,7 @@ "0.6394267984578837" ] }, - "execution_count": 74, + "execution_count": 84, "metadata": {}, "output_type": "execute_result" } @@ -1532,7 +1726,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 85, "metadata": { "scrolled": false }, @@ -1543,7 +1737,7 @@ "1" ] }, - "execution_count": 75, + "execution_count": 85, "metadata": {}, "output_type": "execute_result" } @@ -1554,49 +1748,49 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 86, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "5" + "4" ] }, - "execution_count": 76, + "execution_count": 86, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "random.choice(range(1, 10))" + "random.choice(range(10))" ] }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 87, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "random from 0-1 : 0.24489185380347622\n", - "random from 1,2,3,4 : 2\n", - "random from 1-10 : 2\n" + "random from 0-1: 0.24489185380347622\n", + "random from 1,2,3,4: 2\n", + "random from 1-10: 1\n" ] } ], "source": [ "g = random.random()\n", "h = random.choice([1, 2, 3, 4])\n", - "i = random.choice(range(1, 10))\n", - "print(\"random from 0-1 : %s\\nrandom from 1,2,3,4 : %s\\nrandom from 1-10 : %s\" % (g, h, i))" + "i = random.choice(range(10))\n", + "print(f\"random from 0-1: {g}\\nrandom from 1,2,3,4: {h}\\nrandom from 1-10: {i}\")" ] }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 88, "metadata": {}, "outputs": [], "source": [ @@ -1625,7 +1819,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 89, "metadata": {}, "outputs": [ { @@ -1634,7 +1828,7 @@ "'My sources say no'" ] }, - "execution_count": 79, + "execution_count": 89, "metadata": {}, "output_type": "execute_result" } @@ -1654,65 +1848,41 @@ }, { "cell_type": "code", - "execution_count": 80, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Variable Type Data/Info\n", - "----------------------------------\n", - "S str Spam\n", - "T str Supercalifragilisticexpialidocious\n", - "a int 345\n", - "b float 6.0\n", - "c int 1267650600228229401496703205376\n", - "d float 1.0\n", - "e int 4\n", - "f float 9.219544457292887\n", - "g float 0.24489185380347622\n", - "h int 2\n", - "i int 2\n", - "line str aaa,bbb,ccc,ddd\n", - "line2 str aaa,bbb,ccc,ddd\n", - "magic_8_ball list n=20\n", - "math module h.cpython-37m-darwin.so'>\n", - "pi float 3.141592653589793\n", - "random module lib/python3.7/random.py'>\n" - ] - } - ], + "execution_count": 90, + "metadata": {}, + "outputs": [], "source": [ - "# list all the variables in the workspace\n", - "%whos" + "# get more information about the string variable S\n", + "S?" ] }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 91, "metadata": {}, "outputs": [], "source": [ - "# try typing `S.` then Tab below to see which methods this string has" + "# get more information about the string find method\n", + "S.find?" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 92, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "# get more information about the random seed function\n", + "random.seed?" + ] }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 93, "metadata": {}, "outputs": [], "source": [ - "# try typing `math.` then Tab below to see what functions math has" + "# try typing `S.` then Tab below to see which methods this string has" ] }, { @@ -1724,32 +1894,58 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 94, "metadata": {}, "outputs": [], "source": [ - "# get more information about the string variable S\n", - "S?" + "# try typing `math.` then Tab below to see what methods/functions math has" ] }, { "cell_type": "code", - "execution_count": 84, + "execution_count": null, "metadata": {}, "outputs": [], - "source": [ - "# get more information about the string find method\n", - "S.find?" - ] + "source": [] }, { "cell_type": "code", - "execution_count": 85, - "metadata": {}, - "outputs": [], + "execution_count": 95, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Variable Type Data/Info\n", + "----------------------------------\n", + "S str Spam\n", + "T str Supercalifragilisticexpialidocious\n", + "a int 345\n", + "b float 6.0\n", + "c int 1267650600228229401496703205376\n", + "d float 1.0\n", + "e int 4\n", + "f float 9.219544457292887\n", + "g float 0.24489185380347622\n", + "h int 2\n", + "i int 1\n", + "line str aaa,bbb,ccc,ddd\n", + "line2 str aaa,bbb,ccc,ddd\n", + "line3 str aaa,bbb,ccc,ddd \t \\n\n", + "magic_8_ball list n=20\n", + "math module h.cpython-37m-darwin.so'>\n", + "pi float 3.141592653589793\n", + "random module lib/python3.7/random.py'>\n", + "s str Have you heard? {} is the {}.\n" + ] + } + ], "source": [ - "# get more information about the random seed function\n", - "random.seed?" + "# list all the variables in the workspace\n", + "%whos" ] } ], From fb4e2512415d0abace9a844d6ae081d12835a479 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 16 Oct 2018 14:56:08 -0700 Subject: [PATCH 24/78] fixed R link --- assignments/assignment2.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/assignments/assignment2.md b/assignments/assignment2.md index 2a22c59..4e85829 100644 --- a/assignments/assignment2.md +++ b/assignments/assignment2.md @@ -15,7 +15,7 @@ Note 2: This assignment assumes you have completed Lesson 4. Since we ran out of 3. Use `conda install` and `pip install` to install additional packages to your environment. 4. List your conda environments. 5. List the packages installed in one of your environments. -6. Optional: If you are familiar with R, create an environment and install the R kernel using the instructions [here](https://www.continuum.io/blog/developer/jupyter-and-conda-r). +6. Optional: If you are familiar with R, create an environment and install the R kernel using the instructions [here](https://irkernel.github.io). 7. Optional: If you are familiar with QIIME, create an environment and install QIIME using the instructions [here](http://qiime.org/install/install.html). #### B. IPython command-line interpreter and Python basics From 2a79774e6cb35261adf3f42b0b9878b29fe44aec Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Wed, 17 Oct 2018 14:37:01 -0700 Subject: [PATCH 25/78] updates after class --- assignments/assignment3.md | 2 +- lessons/lesson06.ipynb | 281 +++++++++++++++++++++++++------------ 2 files changed, 193 insertions(+), 90 deletions(-) diff --git a/assignments/assignment3.md b/assignments/assignment3.md index 6d15b51..e8644d4 100644 --- a/assignments/assignment3.md +++ b/assignments/assignment3.md @@ -1,6 +1,6 @@ ### Assignment 3 - Python Fundamentals I -Complete the tasks below. You should turn in a single Jupyter notebook named `3_first_last.ipynb` (substitute your first and last name); also turn in the input .csv file used in question B3. For questions where Python scripts are used instead of the Jupyter notebook (questions A1, B1, B2), instructions are provided about pasting output/scripts into Markdown cells in your notebook. +Complete the tasks below. You should turn in a single Jupyter notebook named `3_first_last.ipynb` (substitute your first and last name); please run Kernel > Restart & Run All on your notebook before turning in. Also turn in the input .csv file used in question B3. For questions where Python scripts are used instead of the Jupyter notebook (questions A1, B1, B2), instructions are provided about pasting output/scripts into Markdown cells in your notebook. #### A. Python basics, strings, printing (Shaw Exercises 1–10) diff --git a/lessons/lesson06.ipynb b/lessons/lesson06.ipynb index 20e8ed5..a18d9d2 100644 --- a/lessons/lesson06.ipynb +++ b/lessons/lesson06.ipynb @@ -514,7 +514,7 @@ "cell_type": "code", "execution_count": 18, "metadata": { - "scrolled": true + "scrolled": false }, "outputs": [ { @@ -542,19 +542,20 @@ }, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "How much wood\n", - "Would a woodchuck chuck\n", - "If a woodchuck could chuck wood?\n", - "\n" - ] + "data": { + "text/plain": [ + "'How much wood\\nWould a woodchuck chuck\\nIf a woodchuck could chuck wood?\\n'" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ "with open(filename, 'r') as f:\n", - " print(f.read())" + " lines = f.read()\n", + "lines" ] }, { @@ -563,35 +564,72 @@ "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "How much wood\n", - "\n" - ] + "data": { + "text/plain": [ + "'How much wood\\n'" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ "with open(filename, 'r') as f:\n", - " print(f.readline())" + " line = f.readline()\n", + "line" ] }, { "cell_type": "code", "execution_count": 21, - "metadata": {}, + "metadata": { + "scrolled": true + }, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "['How much wood\\n', 'Would a woodchuck chuck\\n', 'If a woodchuck could chuck wood?\\n']\n" - ] + "data": { + "text/plain": [ + "['How much wood\\n',\n", + " 'Would a woodchuck chuck\\n',\n", + " 'If a woodchuck could chuck wood?\\n']" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with open(filename, 'r') as f:\n", + " lines = f.readlines()\n", + "lines" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['How much wood',\n", + " 'Would a woodchuck chuck',\n", + " 'If a woodchuck could chuck wood?']" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ "with open(filename, 'r') as f:\n", - " print(f.readlines())" + " lines = [line.rstrip() for line in f.readlines()]\n", + "lines" ] }, { @@ -603,7 +641,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -612,7 +650,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -663,7 +701,7 @@ "2 If a woodchuck could chuck wood?" ] }, - "execution_count": 23, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -690,7 +728,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -699,7 +737,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -718,7 +756,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -736,7 +774,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -745,7 +783,7 @@ "_io.TextIOWrapper" ] }, - "execution_count": 27, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -765,7 +803,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -789,7 +827,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -798,7 +836,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -830,7 +868,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -840,7 +878,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -857,17 +895,17 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ - "def print_a_string(string):\n", - " print('%s' % string)" + "def print_a_string(foo):\n", + " print('%s' % foo)" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -884,7 +922,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -902,7 +940,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -920,7 +958,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -930,7 +968,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -949,7 +987,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 40, "metadata": {}, "outputs": [], "source": [ @@ -960,7 +998,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -977,7 +1015,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -987,7 +1025,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -1004,7 +1042,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -1021,7 +1059,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -1045,67 +1083,132 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 46, "metadata": {}, "outputs": [], "source": [ - "def combine_three_with_commas(*blob):\n", - " v1, v2, v3 = blob\n", - " return '%s,%s,%s' % (v1, v2, v3)" + "def return_sum(a, b):\n", + " return(a + b)" ] }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'40,50,60'" + "13" ] }, - "execution_count": 46, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "combine_three_with_commas(40, 50, 60)" + "return_sum(5, 8)" ] }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "21" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x = return_sum(8, 13)\n", + "x" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "42" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x * 2" + ] + }, + { + "cell_type": "code", + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ - "x = combine_three_with_commas(44, 55, 66)" + "def combine_with_commas(*blob):\n", + " mystring = ''\n", + " for element in blob:\n", + " mystring = mystring + str(element) + ','\n", + " mystring = mystring[:-1]\n", + " return(mystring)" ] }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'44,55,66'" + "'40,50,60'" ] }, - "execution_count": 48, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "x" + "combine_with_commas(40, 50, 60)" ] }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'40,50,60,70,hello'" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "combine_with_commas(40, 50, 60, 70, 'hello')" + ] + }, + { + "cell_type": "code", + "execution_count": 53, "metadata": {}, "outputs": [], "source": [ @@ -1116,7 +1219,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -1125,7 +1228,7 @@ "200" ] }, - "execution_count": 50, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -1139,7 +1242,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -1148,7 +1251,7 @@ "int" ] }, - "execution_count": 51, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -1159,7 +1262,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -1168,7 +1271,7 @@ "'100100'" ] }, - "execution_count": 52, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -1182,7 +1285,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 57, "metadata": { "scrolled": true }, @@ -1193,7 +1296,7 @@ "str" ] }, - "execution_count": 53, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -1204,7 +1307,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -1213,7 +1316,7 @@ "200" ] }, - "execution_count": 54, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -1227,7 +1330,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 59, "metadata": {}, "outputs": [ { @@ -1236,7 +1339,7 @@ "int" ] }, - "execution_count": 55, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } @@ -1247,7 +1350,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 60, "metadata": {}, "outputs": [], "source": [ @@ -1255,12 +1358,12 @@ " s = v1 + v2\n", " p = v1 * v2\n", " e = v1 ** v2\n", - " return s, p, e" + " return(s, p, e)" ] }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -1269,7 +1372,7 @@ "(7, 10, 32)" ] }, - "execution_count": 57, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } @@ -1280,7 +1383,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 62, "metadata": {}, "outputs": [], "source": [ @@ -1289,7 +1392,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 63, "metadata": {}, "outputs": [ { @@ -1298,7 +1401,7 @@ "7" ] }, - "execution_count": 59, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } @@ -1309,7 +1412,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 64, "metadata": {}, "outputs": [ { @@ -1318,7 +1421,7 @@ "10" ] }, - "execution_count": 60, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -1329,7 +1432,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 65, "metadata": {}, "outputs": [ { @@ -1338,7 +1441,7 @@ "32" ] }, - "execution_count": 61, + "execution_count": 65, "metadata": {}, "output_type": "execute_result" } From ee7f26a9f914725f0622ae807a61810cd6ca8db4 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Fri, 19 Oct 2018 15:01:09 -0700 Subject: [PATCH 26/78] adding assignment 2 answers --- assignments/answers/assignment2_answers.md | 116 +++++++++++++++++++++ 1 file changed, 116 insertions(+) create mode 100644 assignments/answers/assignment2_answers.md diff --git a/assignments/answers/assignment2_answers.md b/assignments/answers/assignment2_answers.md new file mode 100644 index 0000000..17b301a --- /dev/null +++ b/assignments/answers/assignment2_answers.md @@ -0,0 +1,116 @@ +### Answers for Assignment 2 - Conda, IPython, and Jupyter + +Work through these tasks. *How to provided your answer is specificed in italics.* Turn in a single text file of your answers. Please name your file `2_first_last.txt` or `2_first_last.md` (substitute your first and last name). + +Note 1: This assignment assumes you have already installed [Miniconda 3](https://conda.io/miniconda.html) (Miniconda for Python 3) and created an environment called `python3` (we did this in Lesson 4). If you installed Miniconda 2 (Miniconda for Python 2), you should probably delete it and install Miniconda 3. Miniconda 3 will still let you create environments using Python 2 if you need to. + +Note 2: This assignment assumes you have completed Lesson 4. Since we ran out of time to complete the Python Crash Course in class, please go through this on your own. You could also watch last year's YouTube videos from Lesson 4. + +#### A. Working with Conda + +*Copy your terminal commands and output as your answers.* + +1. Make a conda environment called `python2` that's identical to your `python3` environment except it uses Python 2. + + $ conda create -n python2 python=2 jupyter + +2. Practice activating and deactivating conda environments. + + $ source activate python2 + +3. Use `conda install` and `pip install` to install additional packages to your environment. + + $ conda install pandas + $ pip install tabview + +4. List your conda environments. + + $ conda env list + $ conda info --envs + +5. List the packages installed in one of your environments. + + $ conda list + +6. Optional: If you are familiar with R, create an environment and install the R kernel using the instructions [here](https://irkernel.github.io). +7. Optional: If you are familiar with QIIME, create an environment and install QIIME using the instructions [here](http://qiime.org/install/install.html). + +#### B. Python and IPython command-line interpreter + +*Write your answers to #1 and #2. Copy your terminal commands and output as your answers for #3.* + +1. Launch your `python3` conda environment and find out which version of Python you are using. Then try to run the commands `print 'Hello, world'` and`print('Hello, world')`. Do they both work? + + *No, the first command produces an error because Python 3 requires parentheses around print commands.* + +2. Launch your `python2` conda environment and find out which version of Python you are using. Then try to run the commands `print 'Hello, world'` and`print('Hello, world')`. Do they both work? + + *Yes, they both work because Python 2 is forward-compatible with the Python 3 print command.* + +3. Pick 3 of the 8 sections in Data Types we covered in Lesson 4: booleans, numbers, strings, lists, tuples, arrays, sets, and dictionaries. Using the IPython interpreter in your `python3` environment, type and run the commands we used in those sections of Lesson 4. + + ``` + $ ipython + Python 3.7.0 | packaged by conda-forge | (default, Aug 27 2018, 17:24:52) + Type 'copyright', 'credits' or 'license' for more information + IPython 7.0.1 -- An enhanced Interactive Python. Type '?' for help. + + In [1]: a = True + ...: b = False + + In [2]: a == True + Out[2]: True + + In [3]: b == True + Out[3]: False + + In [4]: a or b + Out[4]: True + + In [5]: a and b + Out[5]: False + + In [6]: l = [0, 1, 1, 2, 3, 5, 8] + + In [7]: m = [5, 2, 'a', 'xxx', True, [0, 1]] + + In [8]: l[0:3] + Out[8]: [0, 1, 1] + + In [9]: m[4] + Out[9]: True + + In [10]: m[4] = False + + In [11]: m[4:] + Out[11]: [False, [0, 1]] + + In [12]: n = (3, 5, 6) + + In [13]: n[0] + Out[13]: 3 + + In [14]: n[0] = 2 + --------------------------------------------------------------------------- + TypeError Traceback (most recent call last) + in + ----> 1 n[0] = 2 + + TypeError: 'tuple' object does not support item assignment + ``` + +#### C. Working with Jupyter notebooks and Python basics + +*Write your answers to #1 and #2. No need to turn anything in for #3.* + +1. Launch your `python3` conda environment and then launch the Jupyter notebook server. Which kinds of notebooks can you create? Open a Terminal within the notebook environment; what is your Python version? + + *You should be able to make a Python 3 notebook, and your Python version should be Python 3.7.x.* + +2. Launch your `python2` conda environment and then launch the Jupyter notebook server. Which kinds of notebooks can you create? Open a Terminal within the notebook environment; what is your Python version? + + *You should be able to make a Python 2 notebook, and your Python version should be Python 2.7.x.* + +3. Pick 1 of the 4 sections in Loops and Control Structures we covered in Lesson 4: boolean and comparison operations, if tests, while loops, and for loops. Using a Jupyter notebook in your `python3` environment, type the code from that section in one or more cells, then run those cells. Put a header above the code cell using a Markdown cell. Practice creating, deleting, and moving cells using the keyboard shortcuts. + + *(Run this code in a notebook, but don't turn it in.)* From 829e8949e8dd5df2b8c5e1cd22cb26a225f2f233 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Mon, 22 Oct 2018 10:35:47 -0700 Subject: [PATCH 27/78] updates to lesson 7 --- lessons/lesson07.ipynb | 622 ++++++++++++++++++++++++----------------- 1 file changed, 373 insertions(+), 249 deletions(-) diff --git a/lessons/lesson07.ipynb b/lessons/lesson07.ipynb index 7b70e2a..166a358 100644 --- a/lessons/lesson07.ipynb +++ b/lessons/lesson07.ipynb @@ -6,15 +6,31 @@ "source": [ "## Lesson 07 - Logic, Loops, Lists, Tuples, and Dictionaries\n", "\n", - "* Shaw Exercises 27-39\n", - "* Lutz Chapters 8-13" + "### Readings\n", + "\n", + "* Shaw [Exercises 27-39](https://learnpythonthehardway.org/python3/ex27.html)\n", + "* Lutz Chapters 8-13\n", + "\n", + "### Table of Contents\n", + "\n", + "* [Logic](#logic)\n", + "* [Aside: Ranges and Increments](#aside)\n", + "* [Loops](#loops)\n", + "* [Lists](#lists)\n", + "* [Tuples](#tuples)\n", + "* [Dictionaries](#dicts)\n", + "* [Other Types](#other)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Logic" + "\n", + "\n", + "### Logic\n", + "\n", + "The truth value (True, False) of statments is an important part of any programming language. In Python, logical values have a special data type called `bool`, named after Boolean logic and its founder George Boole (1815-1864)." ] }, { @@ -214,11 +230,53 @@ "'aa' != 'bb'" ] }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "bool" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(True)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "bool" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(False)" + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Some asides" + "\n", + "\n", + "### Aside: Ranges and Increments" ] }, { @@ -230,7 +288,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -239,7 +297,7 @@ "range(0, 5)" ] }, - "execution_count": 9, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -250,7 +308,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -259,7 +317,7 @@ "[0, 1, 2, 3, 4]" ] }, - "execution_count": 10, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -270,7 +328,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -279,7 +337,7 @@ "range(1, 6)" ] }, - "execution_count": 11, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -290,7 +348,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": { "scrolled": true }, @@ -301,7 +359,7 @@ "[1, 2, 3, 4, 5]" ] }, - "execution_count": 12, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -321,7 +379,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -330,7 +388,7 @@ "2" ] }, - "execution_count": 13, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -343,7 +401,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -352,7 +410,7 @@ "2" ] }, - "execution_count": 14, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -365,7 +423,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -374,7 +432,7 @@ "6" ] }, - "execution_count": 15, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -387,7 +445,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -396,7 +454,7 @@ "6" ] }, - "execution_count": 16, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -411,7 +469,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Loops" + "\n", + "\n", + "### Loops\n", + "\n", + "Loops and conditional tests are control structures that allow you to control flow through your program." ] }, { @@ -473,7 +535,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -491,7 +553,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -511,7 +573,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -529,7 +591,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -551,7 +613,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -559,7 +621,15 @@ "output_type": "stream", "text": [ "0\n", - "It must be 0.\n" + "It must be 0.\n", + "1\n", + "It's 1 or 2.\n", + "2\n", + "It's 1 or 2.\n", + "3\n", + "It's 3 or 4.\n", + "4\n", + "It's 3 or 4.\n" ] } ], @@ -572,7 +642,7 @@ " print(\"It's 3 or 4.\")\n", " else:\n", " print(\"It must be 0.\")\n", - " break # comment this line to get the full output" + " #break # comment this line to get the full output" ] }, { @@ -584,7 +654,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -616,7 +686,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Lists" + "\n", + "\n", + "### Lists\n", + "\n", + "Lists (the `list` object type) is a sequence of items of the same type." ] }, { @@ -628,7 +702,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -637,7 +711,7 @@ "['alpha', 'bravo', 'charlie']" ] }, - "execution_count": 23, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -650,7 +724,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -659,7 +733,7 @@ "3" ] }, - "execution_count": 24, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -671,7 +745,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -680,7 +754,7 @@ "'alpha'" ] }, - "execution_count": 25, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -692,7 +766,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -701,7 +775,7 @@ "['alpha', 'bravo']" ] }, - "execution_count": 26, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -713,7 +787,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -722,7 +796,7 @@ "['alpha', 'bravo', 'charlie', 'delta', 'echo', 'foxtrot']" ] }, - "execution_count": 27, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -734,7 +808,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -743,7 +817,7 @@ "['delta', 'echo', 'foxtrot', 'alpha', 'bravo', 'charlie']" ] }, - "execution_count": 28, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -754,7 +828,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -763,7 +837,7 @@ "['alpha', 'bravo', 'charlie']" ] }, - "execution_count": 29, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -775,7 +849,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -784,7 +858,7 @@ "['alpha', 'bravo', 'charlie', 'end']" ] }, - "execution_count": 30, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -797,7 +871,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -806,7 +880,7 @@ "'charlie'" ] }, - "execution_count": 31, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -818,7 +892,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -827,7 +901,7 @@ "['alpha', 'bravo', 'end']" ] }, - "execution_count": 32, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -839,7 +913,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -849,7 +923,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -858,7 +932,7 @@ "['alpha', 'bravo', 'middle', 'end']" ] }, - "execution_count": 34, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -869,7 +943,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -879,7 +953,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -888,7 +962,7 @@ "['alpha', 'bravo', 'xxx', 'end']" ] }, - "execution_count": 36, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -899,7 +973,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -908,7 +982,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -917,7 +991,7 @@ "['bb', 'aa', 'cc']" ] }, - "execution_count": 38, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -928,7 +1002,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -937,7 +1011,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -946,7 +1020,7 @@ "['aa', 'bb', 'cc']" ] }, - "execution_count": 40, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -957,7 +1031,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ @@ -966,7 +1040,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -975,7 +1049,7 @@ "['cc', 'bb', 'aa']" ] }, - "execution_count": 42, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -993,7 +1067,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ @@ -1004,7 +1078,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -1013,7 +1087,7 @@ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]]" ] }, - "execution_count": 44, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -1024,7 +1098,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -1033,7 +1107,7 @@ "[4, 5, 6]" ] }, - "execution_count": 45, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -1044,7 +1118,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -1053,7 +1127,7 @@ "6" ] }, - "execution_count": 46, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -1071,7 +1145,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ @@ -1080,7 +1154,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -1089,7 +1163,7 @@ "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]" ] }, - "execution_count": 48, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -1100,7 +1174,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 51, "metadata": {}, "outputs": [ { @@ -1109,7 +1183,7 @@ "[0, 1, 2, 3, 4]" ] }, - "execution_count": 49, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -1120,7 +1194,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 52, "metadata": { "scrolled": true }, @@ -1131,7 +1205,7 @@ "[0, 1, 2, 3, 4]" ] }, - "execution_count": 50, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -1142,7 +1216,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 53, "metadata": { "scrolled": false }, @@ -1153,7 +1227,7 @@ "[5, 6, 7, 8, 9]" ] }, - "execution_count": 51, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -1164,7 +1238,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 54, "metadata": { "scrolled": false }, @@ -1175,7 +1249,7 @@ "[2, 3, 4]" ] }, - "execution_count": 52, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -1200,7 +1274,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 55, "metadata": {}, "outputs": [], "source": [ @@ -1212,7 +1286,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 56, "metadata": { "scrolled": true }, @@ -1223,7 +1297,7 @@ "[1, 4, 9, 16, 25]" ] }, - "execution_count": 54, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -1234,7 +1308,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 57, "metadata": {}, "outputs": [], "source": [ @@ -1244,7 +1318,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -1253,7 +1327,7 @@ "[1, 4, 9, 16, 25]" ] }, - "execution_count": 56, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -1271,7 +1345,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 59, "metadata": {}, "outputs": [], "source": [ @@ -1280,7 +1354,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -1289,7 +1363,7 @@ "['ss', 'pp', 'aa', 'mm']" ] }, - "execution_count": 58, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } @@ -1307,7 +1381,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -1316,7 +1390,7 @@ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]]" ] }, - "execution_count": 59, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } @@ -1327,7 +1401,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 62, "metadata": {}, "outputs": [], "source": [ @@ -1337,7 +1411,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 63, "metadata": {}, "outputs": [ { @@ -1346,7 +1420,7 @@ "[2, 5, 8]" ] }, - "execution_count": 61, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } @@ -1357,7 +1431,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 64, "metadata": {}, "outputs": [], "source": [ @@ -1367,7 +1441,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 65, "metadata": {}, "outputs": [ { @@ -1376,7 +1450,7 @@ "[3, 6, 9]" ] }, - "execution_count": 63, + "execution_count": 65, "metadata": {}, "output_type": "execute_result" } @@ -1387,7 +1461,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 66, "metadata": {}, "outputs": [], "source": [ @@ -1397,7 +1471,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -1406,7 +1480,7 @@ "[2, 8]" ] }, - "execution_count": 65, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -1417,7 +1491,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 68, "metadata": {}, "outputs": [], "source": [ @@ -1427,7 +1501,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 69, "metadata": {}, "outputs": [ { @@ -1436,7 +1510,7 @@ "[1, 5, 9]" ] }, - "execution_count": 67, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } @@ -1449,9 +1523,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Tuples\n", "\n", - "Tuples are similar to lists with two important differences:\n", + "Tuples (the `tuple` object type) are similar to lists with two important differences:\n", "\n", "1. Tuples are immutable, meaning they cannot be changed in place or appended to.\n", "2. Tuples can be composed of mixed types of objects, whereas lists should contain a single kind of object." @@ -1459,7 +1535,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 70, "metadata": {}, "outputs": [], "source": [ @@ -1468,7 +1544,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 71, "metadata": {}, "outputs": [ { @@ -1477,7 +1553,7 @@ "(1, 2, 3, 4)" ] }, - "execution_count": 69, + "execution_count": 71, "metadata": {}, "output_type": "execute_result" } @@ -1488,7 +1564,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 72, "metadata": { "scrolled": false }, @@ -1499,7 +1575,7 @@ "1" ] }, - "execution_count": 70, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } @@ -1510,7 +1586,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 73, "metadata": {}, "outputs": [ { @@ -1519,7 +1595,7 @@ "4" ] }, - "execution_count": 71, + "execution_count": 73, "metadata": {}, "output_type": "execute_result" } @@ -1530,7 +1606,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 74, "metadata": {}, "outputs": [ { @@ -1539,7 +1615,7 @@ "(1, 2, 3, 4, 5, 6)" ] }, - "execution_count": 72, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -1551,7 +1627,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 75, "metadata": {}, "outputs": [], "source": [ @@ -1568,7 +1644,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -1577,7 +1653,7 @@ "['Bob', 'Joe', 'John', 'Sam']" ] }, - "execution_count": 74, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } @@ -1589,7 +1665,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 77, "metadata": {}, "outputs": [ { @@ -1598,7 +1674,7 @@ "['Billy', 'Bob', 'Joe', 42]" ] }, - "execution_count": 75, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" } @@ -1610,7 +1686,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 78, "metadata": {}, "outputs": [ { @@ -1619,7 +1695,7 @@ "[('Billy', 'Bob', 'Joe', 42), ('Robert', '', 'Smith', 31)]" ] }, - "execution_count": 76, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } @@ -1633,12 +1709,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Dictionaries" + "\n", + "\n", + "### Dictionaries\n", + "\n", + "Dictionaries or dicts are objects that link key–value pairs. They can be useful for a variety of applications. `dict` is Python's implementation of the hash table." ] }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 79, "metadata": {}, "outputs": [], "source": [ @@ -1648,16 +1728,16 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 80, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'color': 'pink', 'food': 'Spam', 'quantity': 4}" + "{'food': 'Spam', 'quantity': 4, 'color': 'pink'}" ] }, - "execution_count": 78, + "execution_count": 80, "metadata": {}, "output_type": "execute_result" } @@ -1668,7 +1748,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 81, "metadata": {}, "outputs": [ { @@ -1677,7 +1757,7 @@ "'Spam'" ] }, - "execution_count": 79, + "execution_count": 81, "metadata": {}, "output_type": "execute_result" } @@ -1689,7 +1769,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 82, "metadata": {}, "outputs": [ { @@ -1698,7 +1778,7 @@ "4" ] }, - "execution_count": 80, + "execution_count": 82, "metadata": {}, "output_type": "execute_result" } @@ -1709,7 +1789,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 83, "metadata": {}, "outputs": [], "source": [ @@ -1719,16 +1799,16 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 84, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'color': 'pink', 'food': 'Spam', 'quantity': 5}" + "{'food': 'Spam', 'quantity': 5, 'color': 'pink'}" ] }, - "execution_count": 82, + "execution_count": 84, "metadata": {}, "output_type": "execute_result" } @@ -1739,7 +1819,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 85, "metadata": {}, "outputs": [], "source": [ @@ -1748,7 +1828,7 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 86, "metadata": {}, "outputs": [], "source": [ @@ -1760,16 +1840,16 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 87, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'age': 40, 'job': 'dev', 'name': 'Bob'}" + "{'name': 'Bob', 'job': 'dev', 'age': 40}" ] }, - "execution_count": 85, + "execution_count": 87, "metadata": {}, "output_type": "execute_result" } @@ -1780,7 +1860,7 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 88, "metadata": {}, "outputs": [ { @@ -1789,7 +1869,7 @@ "'Bob'" ] }, - "execution_count": 86, + "execution_count": 88, "metadata": {}, "output_type": "execute_result" } @@ -1800,7 +1880,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 89, "metadata": {}, "outputs": [], "source": [ @@ -1812,16 +1892,16 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 90, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'age': 40.5, 'job': ['dev', 'mgr'], 'name': {'first': 'Bob', 'last': 'Smith'}}" + "{'name': {'first': 'Bob', 'last': 'Smith'}, 'job': ['dev', 'mgr'], 'age': 40.5}" ] }, - "execution_count": 88, + "execution_count": 90, "metadata": {}, "output_type": "execute_result" } @@ -1832,7 +1912,7 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 91, "metadata": {}, "outputs": [ { @@ -1841,7 +1921,7 @@ "{'first': 'Bob', 'last': 'Smith'}" ] }, - "execution_count": 89, + "execution_count": 91, "metadata": {}, "output_type": "execute_result" } @@ -1853,7 +1933,7 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 92, "metadata": {}, "outputs": [ { @@ -1862,7 +1942,7 @@ "'Smith'" ] }, - "execution_count": 90, + "execution_count": 92, "metadata": {}, "output_type": "execute_result" } @@ -1874,7 +1954,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 93, "metadata": {}, "outputs": [ { @@ -1883,7 +1963,7 @@ "['dev', 'mgr']" ] }, - "execution_count": 91, + "execution_count": 93, "metadata": {}, "output_type": "execute_result" } @@ -1895,7 +1975,7 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 94, "metadata": {}, "outputs": [ { @@ -1904,7 +1984,7 @@ "'mgr'" ] }, - "execution_count": 92, + "execution_count": 94, "metadata": {}, "output_type": "execute_result" } @@ -1916,7 +1996,7 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 95, "metadata": {}, "outputs": [], "source": [ @@ -1926,18 +2006,18 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 96, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'age': 40.5,\n", + "{'name': {'first': 'Bob', 'last': 'Smith'},\n", " 'job': ['dev', 'mgr', 'janitor'],\n", - " 'name': {'first': 'Bob', 'last': 'Smith'}}" + " 'age': 40.5}" ] }, - "execution_count": 94, + "execution_count": 96, "metadata": {}, "output_type": "execute_result" } @@ -1948,7 +2028,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 97, "metadata": {}, "outputs": [], "source": [ @@ -1963,7 +2043,7 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 98, "metadata": {}, "outputs": [ { @@ -1972,7 +2052,7 @@ "{'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5}" ] }, - "execution_count": 96, + "execution_count": 98, "metadata": {}, "output_type": "execute_result" } @@ -1983,7 +2063,7 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 99, "metadata": {}, "outputs": [ { @@ -2006,7 +2086,7 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 100, "metadata": {}, "outputs": [ { @@ -2029,7 +2109,7 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 101, "metadata": {}, "outputs": [ { @@ -2052,7 +2132,7 @@ }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 102, "metadata": {}, "outputs": [], "source": [ @@ -2062,16 +2142,16 @@ }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 103, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'a': 1, 'b': 2, 'c': 3}" + "{'a': 1, 'c': 3, 'b': 2}" ] }, - "execution_count": 101, + "execution_count": 103, "metadata": {}, "output_type": "execute_result" } @@ -2082,7 +2162,7 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 104, "metadata": {}, "outputs": [], "source": [ @@ -2091,16 +2171,16 @@ }, { "cell_type": "code", - "execution_count": 103, + "execution_count": 105, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'a': 1, 'b': 2, 'c': 3, 'e': 99}" + "{'a': 1, 'c': 3, 'b': 2, 'e': 99}" ] }, - "execution_count": 103, + "execution_count": 105, "metadata": {}, "output_type": "execute_result" } @@ -2111,7 +2191,7 @@ }, { "cell_type": "code", - "execution_count": 104, + "execution_count": 106, "metadata": {}, "outputs": [ { @@ -2120,7 +2200,7 @@ "True" ] }, - "execution_count": 104, + "execution_count": 106, "metadata": {}, "output_type": "execute_result" } @@ -2131,7 +2211,7 @@ }, { "cell_type": "code", - "execution_count": 105, + "execution_count": 107, "metadata": {}, "outputs": [ { @@ -2140,7 +2220,7 @@ "False" ] }, - "execution_count": 105, + "execution_count": 107, "metadata": {}, "output_type": "execute_result" } @@ -2151,7 +2231,7 @@ }, { "cell_type": "code", - "execution_count": 106, + "execution_count": 108, "metadata": {}, "outputs": [ { @@ -2169,7 +2249,7 @@ }, { "cell_type": "code", - "execution_count": 107, + "execution_count": 109, "metadata": {}, "outputs": [], "source": [ @@ -2178,7 +2258,7 @@ }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 110, "metadata": {}, "outputs": [], "source": [ @@ -2188,7 +2268,7 @@ }, { "cell_type": "code", - "execution_count": 109, + "execution_count": 111, "metadata": {}, "outputs": [], "source": [ @@ -2197,16 +2277,16 @@ }, { "cell_type": "code", - "execution_count": 110, + "execution_count": 112, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'city': 'La Jolla', 'job': 'student', 'name': 'Jon', 'zip_code': '92037'}" + "{'name': 'Jon', 'job': 'student', 'zip_code': '92037', 'city': 'La Jolla'}" ] }, - "execution_count": 110, + "execution_count": 112, "metadata": {}, "output_type": "execute_result" } @@ -2219,7 +2299,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Other types" + "\n", + "\n", + "### Other Types" ] }, { @@ -2231,7 +2313,7 @@ }, { "cell_type": "code", - "execution_count": 111, + "execution_count": 113, "metadata": {}, "outputs": [], "source": [ @@ -2241,7 +2323,7 @@ }, { "cell_type": "code", - "execution_count": 112, + "execution_count": 114, "metadata": {}, "outputs": [ { @@ -2250,7 +2332,7 @@ "{'a', 'm', 'p', 's'}" ] }, - "execution_count": 112, + "execution_count": 114, "metadata": {}, "output_type": "execute_result" } @@ -2261,7 +2343,7 @@ }, { "cell_type": "code", - "execution_count": 113, + "execution_count": 115, "metadata": {}, "outputs": [ { @@ -2270,7 +2352,7 @@ "{'a', 'h', 'm'}" ] }, - "execution_count": 113, + "execution_count": 115, "metadata": {}, "output_type": "execute_result" } @@ -2281,7 +2363,7 @@ }, { "cell_type": "code", - "execution_count": 114, + "execution_count": 116, "metadata": {}, "outputs": [], "source": [ @@ -2290,7 +2372,7 @@ }, { "cell_type": "code", - "execution_count": 115, + "execution_count": 117, "metadata": {}, "outputs": [ { @@ -2299,7 +2381,7 @@ "{'a', 'm'}" ] }, - "execution_count": 115, + "execution_count": 117, "metadata": {}, "output_type": "execute_result" } @@ -2310,7 +2392,7 @@ }, { "cell_type": "code", - "execution_count": 116, + "execution_count": 118, "metadata": {}, "outputs": [], "source": [ @@ -2319,7 +2401,7 @@ }, { "cell_type": "code", - "execution_count": 117, + "execution_count": 119, "metadata": {}, "outputs": [ { @@ -2328,7 +2410,7 @@ "{'a', 'h', 'm', 'p', 's'}" ] }, - "execution_count": 117, + "execution_count": 119, "metadata": {}, "output_type": "execute_result" } @@ -2339,7 +2421,7 @@ }, { "cell_type": "code", - "execution_count": 118, + "execution_count": 120, "metadata": {}, "outputs": [], "source": [ @@ -2348,8 +2430,10 @@ }, { "cell_type": "code", - "execution_count": 119, - "metadata": {}, + "execution_count": 121, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { @@ -2357,7 +2441,7 @@ "{'p', 's'}" ] }, - "execution_count": 119, + "execution_count": 121, "metadata": {}, "output_type": "execute_result" } @@ -2366,16 +2450,36 @@ "difference" ] }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "set" + ] + }, + "execution_count": 122, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(X)" + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Boolean" + "#### Booleans" ] }, { "cell_type": "code", - "execution_count": 120, + "execution_count": 123, "metadata": {}, "outputs": [ { @@ -2384,7 +2488,7 @@ "(False, True)" ] }, - "execution_count": 120, + "execution_count": 123, "metadata": {}, "output_type": "execute_result" } @@ -2395,7 +2499,7 @@ }, { "cell_type": "code", - "execution_count": 121, + "execution_count": 124, "metadata": {}, "outputs": [ { @@ -2404,7 +2508,7 @@ "(False, True)" ] }, - "execution_count": 121, + "execution_count": 124, "metadata": {}, "output_type": "execute_result" } @@ -2415,7 +2519,7 @@ }, { "cell_type": "code", - "execution_count": 122, + "execution_count": 125, "metadata": { "scrolled": true }, @@ -2426,7 +2530,7 @@ "True" ] }, - "execution_count": 122, + "execution_count": 125, "metadata": {}, "output_type": "execute_result" } @@ -2437,7 +2541,7 @@ }, { "cell_type": "code", - "execution_count": 123, + "execution_count": 126, "metadata": {}, "outputs": [ { @@ -2446,7 +2550,7 @@ "True" ] }, - "execution_count": 123, + "execution_count": 126, "metadata": {}, "output_type": "execute_result" } @@ -2457,7 +2561,7 @@ }, { "cell_type": "code", - "execution_count": 124, + "execution_count": 127, "metadata": {}, "outputs": [ { @@ -2466,7 +2570,7 @@ "1" ] }, - "execution_count": 124, + "execution_count": 127, "metadata": {}, "output_type": "execute_result" } @@ -2477,7 +2581,7 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 128, "metadata": {}, "outputs": [ { @@ -2486,7 +2590,7 @@ "2" ] }, - "execution_count": 125, + "execution_count": 128, "metadata": {}, "output_type": "execute_result" } @@ -2497,7 +2601,7 @@ }, { "cell_type": "code", - "execution_count": 126, + "execution_count": 129, "metadata": {}, "outputs": [ { @@ -2506,7 +2610,7 @@ "True" ] }, - "execution_count": 126, + "execution_count": 129, "metadata": {}, "output_type": "execute_result" } @@ -2517,7 +2621,7 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": 130, "metadata": {}, "outputs": [ { @@ -2526,7 +2630,7 @@ "False" ] }, - "execution_count": 127, + "execution_count": 130, "metadata": {}, "output_type": "execute_result" } @@ -2537,7 +2641,7 @@ }, { "cell_type": "code", - "execution_count": 128, + "execution_count": 131, "metadata": {}, "outputs": [ { @@ -2546,7 +2650,7 @@ "True" ] }, - "execution_count": 128, + "execution_count": 131, "metadata": {}, "output_type": "execute_result" } @@ -2557,7 +2661,7 @@ }, { "cell_type": "code", - "execution_count": 129, + "execution_count": 132, "metadata": {}, "outputs": [ { @@ -2566,7 +2670,7 @@ "False" ] }, - "execution_count": 129, + "execution_count": 132, "metadata": {}, "output_type": "execute_result" } @@ -2575,6 +2679,26 @@ "False is 0" ] }, + { + "cell_type": "code", + "execution_count": 133, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "bool" + ] + }, + "execution_count": 133, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(1 > 2)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -2584,7 +2708,7 @@ }, { "cell_type": "code", - "execution_count": 130, + "execution_count": 134, "metadata": {}, "outputs": [], "source": [ @@ -2593,7 +2717,7 @@ }, { "cell_type": "code", - "execution_count": 131, + "execution_count": 135, "metadata": {}, "outputs": [], "source": [ @@ -2602,7 +2726,7 @@ }, { "cell_type": "code", - "execution_count": 132, + "execution_count": 136, "metadata": {}, "outputs": [ { @@ -2619,7 +2743,7 @@ }, { "cell_type": "code", - "execution_count": 133, + "execution_count": 137, "metadata": {}, "outputs": [], "source": [ @@ -2628,7 +2752,7 @@ }, { "cell_type": "code", - "execution_count": 134, + "execution_count": 138, "metadata": { "scrolled": false }, @@ -2639,7 +2763,7 @@ "NoneType" ] }, - "execution_count": 134, + "execution_count": 138, "metadata": {}, "output_type": "execute_result" } @@ -2657,7 +2781,7 @@ }, { "cell_type": "code", - "execution_count": 135, + "execution_count": 139, "metadata": {}, "outputs": [ { @@ -2666,7 +2790,7 @@ "int" ] }, - "execution_count": 135, + "execution_count": 139, "metadata": {}, "output_type": "execute_result" } @@ -2677,7 +2801,7 @@ }, { "cell_type": "code", - "execution_count": 136, + "execution_count": 140, "metadata": {}, "outputs": [ { @@ -2686,7 +2810,7 @@ "float" ] }, - "execution_count": 136, + "execution_count": 140, "metadata": {}, "output_type": "execute_result" } @@ -2697,7 +2821,7 @@ }, { "cell_type": "code", - "execution_count": 137, + "execution_count": 141, "metadata": {}, "outputs": [ { @@ -2706,7 +2830,7 @@ "str" ] }, - "execution_count": 137, + "execution_count": 141, "metadata": {}, "output_type": "execute_result" } @@ -2717,7 +2841,7 @@ }, { "cell_type": "code", - "execution_count": 138, + "execution_count": 142, "metadata": {}, "outputs": [ { @@ -2726,7 +2850,7 @@ "list" ] }, - "execution_count": 138, + "execution_count": 142, "metadata": {}, "output_type": "execute_result" } @@ -2737,7 +2861,7 @@ }, { "cell_type": "code", - "execution_count": 139, + "execution_count": 143, "metadata": {}, "outputs": [ { @@ -2746,7 +2870,7 @@ "tuple" ] }, - "execution_count": 139, + "execution_count": 143, "metadata": {}, "output_type": "execute_result" } @@ -2757,7 +2881,7 @@ }, { "cell_type": "code", - "execution_count": 140, + "execution_count": 144, "metadata": {}, "outputs": [ { @@ -2766,7 +2890,7 @@ "dict" ] }, - "execution_count": 140, + "execution_count": 144, "metadata": {}, "output_type": "execute_result" } @@ -2777,7 +2901,7 @@ }, { "cell_type": "code", - "execution_count": 141, + "execution_count": 145, "metadata": {}, "outputs": [ { @@ -2786,7 +2910,7 @@ "set" ] }, - "execution_count": 141, + "execution_count": 145, "metadata": {}, "output_type": "execute_result" } @@ -2797,7 +2921,7 @@ }, { "cell_type": "code", - "execution_count": 142, + "execution_count": 146, "metadata": {}, "outputs": [ { @@ -2806,7 +2930,7 @@ "bool" ] }, - "execution_count": 142, + "execution_count": 146, "metadata": {}, "output_type": "execute_result" } @@ -2817,7 +2941,7 @@ }, { "cell_type": "code", - "execution_count": 143, + "execution_count": 147, "metadata": { "scrolled": false }, @@ -2828,7 +2952,7 @@ "bool" ] }, - "execution_count": 143, + "execution_count": 147, "metadata": {}, "output_type": "execute_result" } @@ -2839,7 +2963,7 @@ }, { "cell_type": "code", - "execution_count": 144, + "execution_count": 148, "metadata": {}, "outputs": [ { @@ -2848,7 +2972,7 @@ "NoneType" ] }, - "execution_count": 144, + "execution_count": 148, "metadata": {}, "output_type": "execute_result" } @@ -2882,7 +3006,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.0" } }, "nbformat": 4, From a954486c14921b3341c6a244665bee996b350b1d Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Mon, 22 Oct 2018 15:52:23 -0700 Subject: [PATCH 28/78] updates to lessons 7-10 --- lessons/lesson07.ipynb | 702 +++++++++++++++++++++-------------------- lessons/lesson08.ipynb | 352 ++++++++++++++++++++- lessons/lesson09.ipynb | 285 ++++++++++++----- lessons/lesson10.ipynb | 24 +- 4 files changed, 924 insertions(+), 439 deletions(-) diff --git a/lessons/lesson07.ipynb b/lessons/lesson07.ipynb index 166a358..577dc09 100644 --- a/lessons/lesson07.ipynb +++ b/lessons/lesson07.ipynb @@ -8,8 +8,8 @@ "\n", "### Readings\n", "\n", - "* Shaw [Exercises 27-39](https://learnpythonthehardway.org/python3/ex27.html)\n", - "* Lutz Chapters 8-13\n", + "* Shaw: [Exercises 27-39](https://learnpythonthehardway.org/python3/ex27.html)\n", + "* Lutz: Chapters 8-13\n", "\n", "### Table of Contents\n", "\n", @@ -207,7 +207,9 @@ } ], "source": [ - "'aa' is 'aa'" + "a = 5\n", + "b = 5\n", + "a is b" ] }, { @@ -227,7 +229,7 @@ } ], "source": [ - "'aa' != 'bb'" + "'aa' is 'aa'" ] }, { @@ -238,7 +240,7 @@ { "data": { "text/plain": [ - "bool" + "True" ] }, "execution_count": 9, @@ -247,7 +249,7 @@ } ], "source": [ - "type(True)" + "'aa' != 'bb'" ] }, { @@ -266,6 +268,26 @@ "output_type": "execute_result" } ], + "source": [ + "type(True)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "bool" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "type(False)" ] @@ -288,7 +310,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -297,7 +319,7 @@ "range(0, 5)" ] }, - "execution_count": 11, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -308,7 +330,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -317,7 +339,7 @@ "[0, 1, 2, 3, 4]" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -328,7 +350,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -337,7 +359,7 @@ "range(1, 6)" ] }, - "execution_count": 13, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -348,7 +370,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": { "scrolled": true }, @@ -359,7 +381,7 @@ "[1, 2, 3, 4, 5]" ] }, - "execution_count": 14, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -379,7 +401,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -388,7 +410,7 @@ "2" ] }, - "execution_count": 15, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -401,7 +423,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -410,7 +432,7 @@ "2" ] }, - "execution_count": 16, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -423,7 +445,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -432,7 +454,7 @@ "6" ] }, - "execution_count": 17, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -445,7 +467,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -454,7 +476,7 @@ "6" ] }, - "execution_count": 18, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -535,7 +557,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -553,7 +575,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -573,7 +595,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -591,7 +613,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -613,7 +635,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -654,7 +676,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -682,6 +704,26 @@ " print('All done.')" ] }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "6" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "j" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -702,7 +744,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -711,7 +753,7 @@ "['alpha', 'bravo', 'charlie']" ] }, - "execution_count": 25, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -724,7 +766,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -733,7 +775,7 @@ "3" ] }, - "execution_count": 26, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -745,7 +787,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -754,7 +796,7 @@ "'alpha'" ] }, - "execution_count": 27, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -766,7 +808,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -775,7 +817,7 @@ "['alpha', 'bravo']" ] }, - "execution_count": 28, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -787,7 +829,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -796,7 +838,7 @@ "['alpha', 'bravo', 'charlie', 'delta', 'echo', 'foxtrot']" ] }, - "execution_count": 29, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -808,7 +850,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -817,7 +859,7 @@ "['delta', 'echo', 'foxtrot', 'alpha', 'bravo', 'charlie']" ] }, - "execution_count": 30, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -828,7 +870,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -837,7 +879,7 @@ "['alpha', 'bravo', 'charlie']" ] }, - "execution_count": 31, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -849,7 +891,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -858,7 +900,7 @@ "['alpha', 'bravo', 'charlie', 'end']" ] }, - "execution_count": 32, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -871,7 +913,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -880,7 +922,7 @@ "'charlie'" ] }, - "execution_count": 33, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -892,7 +934,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -901,7 +943,7 @@ "['alpha', 'bravo', 'end']" ] }, - "execution_count": 34, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -913,7 +955,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -923,7 +965,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -932,7 +974,7 @@ "['alpha', 'bravo', 'middle', 'end']" ] }, - "execution_count": 36, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -943,7 +985,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -953,7 +995,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -962,7 +1004,7 @@ "['alpha', 'bravo', 'xxx', 'end']" ] }, - "execution_count": 38, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -973,16 +1015,16 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ - "M = ['bb', 'aa', 'cc']" + "N = ['bb', 'aa', 'cc']" ] }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -991,27 +1033,27 @@ "['bb', 'aa', 'cc']" ] }, - "execution_count": 40, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "M" + "N" ] }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ - "M.sort()" + "N.sort()" ] }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -1020,27 +1062,27 @@ "['aa', 'bb', 'cc']" ] }, - "execution_count": 42, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "M" + "N" ] }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ - "M.reverse()" + "N.reverse()" ] }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -1049,13 +1091,33 @@ "['cc', 'bb', 'aa']" ] }, - "execution_count": 44, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "M" + "N" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "'bb' in N" ] }, { @@ -1067,7 +1129,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 48, "metadata": {}, "outputs": [], "source": [ @@ -1078,7 +1140,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -1087,7 +1149,7 @@ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]]" ] }, - "execution_count": 46, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -1098,7 +1160,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -1107,7 +1169,7 @@ "[4, 5, 6]" ] }, - "execution_count": 47, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -1118,7 +1180,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 51, "metadata": {}, "outputs": [ { @@ -1127,7 +1189,7 @@ "6" ] }, - "execution_count": 48, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -1145,7 +1207,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 52, "metadata": {}, "outputs": [], "source": [ @@ -1154,7 +1216,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -1163,7 +1225,7 @@ "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]" ] }, - "execution_count": 50, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -1174,7 +1236,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -1183,7 +1245,7 @@ "[0, 1, 2, 3, 4]" ] }, - "execution_count": 51, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -1194,7 +1256,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 55, "metadata": { "scrolled": true }, @@ -1205,7 +1267,7 @@ "[0, 1, 2, 3, 4]" ] }, - "execution_count": 52, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -1216,7 +1278,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 56, "metadata": { "scrolled": false }, @@ -1227,7 +1289,7 @@ "[5, 6, 7, 8, 9]" ] }, - "execution_count": 53, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -1238,7 +1300,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 57, "metadata": { "scrolled": false }, @@ -1249,7 +1311,7 @@ "[2, 3, 4]" ] }, - "execution_count": 54, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -1274,7 +1336,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 58, "metadata": {}, "outputs": [], "source": [ @@ -1286,7 +1348,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 59, "metadata": { "scrolled": true }, @@ -1297,7 +1359,7 @@ "[1, 4, 9, 16, 25]" ] }, - "execution_count": 56, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } @@ -1308,7 +1370,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 60, "metadata": {}, "outputs": [], "source": [ @@ -1318,7 +1380,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -1327,7 +1389,7 @@ "[1, 4, 9, 16, 25]" ] }, - "execution_count": 58, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } @@ -1345,7 +1407,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 62, "metadata": {}, "outputs": [], "source": [ @@ -1354,7 +1416,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 63, "metadata": {}, "outputs": [ { @@ -1363,7 +1425,7 @@ "['ss', 'pp', 'aa', 'mm']" ] }, - "execution_count": 60, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } @@ -1381,7 +1443,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 64, "metadata": {}, "outputs": [ { @@ -1390,7 +1452,7 @@ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]]" ] }, - "execution_count": 61, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -1401,7 +1463,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 65, "metadata": {}, "outputs": [], "source": [ @@ -1411,7 +1473,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 66, "metadata": {}, "outputs": [ { @@ -1420,7 +1482,7 @@ "[2, 5, 8]" ] }, - "execution_count": 63, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } @@ -1431,7 +1493,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 67, "metadata": {}, "outputs": [], "source": [ @@ -1441,7 +1503,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 68, "metadata": {}, "outputs": [ { @@ -1450,7 +1512,7 @@ "[3, 6, 9]" ] }, - "execution_count": 65, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } @@ -1461,7 +1523,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 69, "metadata": {}, "outputs": [], "source": [ @@ -1471,7 +1533,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 70, "metadata": {}, "outputs": [ { @@ -1480,7 +1542,7 @@ "[2, 8]" ] }, - "execution_count": 67, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -1491,7 +1553,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 71, "metadata": {}, "outputs": [], "source": [ @@ -1501,7 +1563,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 72, "metadata": {}, "outputs": [ { @@ -1510,7 +1572,7 @@ "[1, 5, 9]" ] }, - "execution_count": 69, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } @@ -1535,7 +1597,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 73, "metadata": {}, "outputs": [], "source": [ @@ -1544,7 +1606,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 74, "metadata": {}, "outputs": [ { @@ -1553,7 +1615,7 @@ "(1, 2, 3, 4)" ] }, - "execution_count": 71, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -1564,7 +1626,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 75, "metadata": { "scrolled": false }, @@ -1575,7 +1637,7 @@ "1" ] }, - "execution_count": 72, + "execution_count": 75, "metadata": {}, "output_type": "execute_result" } @@ -1586,7 +1648,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -1595,7 +1657,7 @@ "4" ] }, - "execution_count": 73, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } @@ -1606,7 +1668,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 77, "metadata": {}, "outputs": [ { @@ -1615,7 +1677,7 @@ "(1, 2, 3, 4, 5, 6)" ] }, - "execution_count": 74, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" } @@ -1627,7 +1689,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 78, "metadata": {}, "outputs": [], "source": [ @@ -1644,7 +1706,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 79, "metadata": {}, "outputs": [ { @@ -1653,7 +1715,7 @@ "['Bob', 'Joe', 'John', 'Sam']" ] }, - "execution_count": 76, + "execution_count": 79, "metadata": {}, "output_type": "execute_result" } @@ -1665,7 +1727,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 80, "metadata": {}, "outputs": [ { @@ -1674,7 +1736,7 @@ "['Billy', 'Bob', 'Joe', 42]" ] }, - "execution_count": 77, + "execution_count": 80, "metadata": {}, "output_type": "execute_result" } @@ -1686,7 +1748,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 81, "metadata": {}, "outputs": [ { @@ -1695,7 +1757,7 @@ "[('Billy', 'Bob', 'Joe', 42), ('Robert', '', 'Smith', 31)]" ] }, - "execution_count": 78, + "execution_count": 81, "metadata": {}, "output_type": "execute_result" } @@ -1718,7 +1780,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 82, "metadata": {}, "outputs": [], "source": [ @@ -1728,7 +1790,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 83, "metadata": {}, "outputs": [ { @@ -1737,7 +1799,7 @@ "{'food': 'Spam', 'quantity': 4, 'color': 'pink'}" ] }, - "execution_count": 80, + "execution_count": 83, "metadata": {}, "output_type": "execute_result" } @@ -1748,7 +1810,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 84, "metadata": {}, "outputs": [ { @@ -1757,7 +1819,7 @@ "'Spam'" ] }, - "execution_count": 81, + "execution_count": 84, "metadata": {}, "output_type": "execute_result" } @@ -1769,7 +1831,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 85, "metadata": {}, "outputs": [ { @@ -1778,7 +1840,7 @@ "4" ] }, - "execution_count": 82, + "execution_count": 85, "metadata": {}, "output_type": "execute_result" } @@ -1789,7 +1851,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 86, "metadata": {}, "outputs": [], "source": [ @@ -1799,7 +1861,7 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 87, "metadata": {}, "outputs": [ { @@ -1808,7 +1870,7 @@ "{'food': 'Spam', 'quantity': 5, 'color': 'pink'}" ] }, - "execution_count": 84, + "execution_count": 87, "metadata": {}, "output_type": "execute_result" } @@ -1819,16 +1881,16 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 88, "metadata": {}, "outputs": [], "source": [ - "D = {}" + "D = {} # empty dict: {}, empty string: '', empty list: [], empty tuple: ()" ] }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 89, "metadata": {}, "outputs": [], "source": [ @@ -1840,7 +1902,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 90, "metadata": {}, "outputs": [ { @@ -1849,7 +1911,7 @@ "{'name': 'Bob', 'job': 'dev', 'age': 40}" ] }, - "execution_count": 87, + "execution_count": 90, "metadata": {}, "output_type": "execute_result" } @@ -1860,7 +1922,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 91, "metadata": {}, "outputs": [ { @@ -1869,7 +1931,7 @@ "'Bob'" ] }, - "execution_count": 88, + "execution_count": 91, "metadata": {}, "output_type": "execute_result" } @@ -1880,28 +1942,30 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 92, "metadata": {}, "outputs": [], "source": [ "# nested dictionaries\n", "rec = {'name': {'first': 'Bob', 'last': 'Smith'}, \n", - " 'job': ['dev', 'mgr'],\n", + " 'job': ['developer', 'manager'],\n", " 'age': 40.5}" ] }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 93, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'name': {'first': 'Bob', 'last': 'Smith'}, 'job': ['dev', 'mgr'], 'age': 40.5}" + "{'name': {'first': 'Bob', 'last': 'Smith'},\n", + " 'job': ['developer', 'manager'],\n", + " 'age': 40.5}" ] }, - "execution_count": 90, + "execution_count": 93, "metadata": {}, "output_type": "execute_result" } @@ -1912,7 +1976,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 94, "metadata": {}, "outputs": [ { @@ -1921,7 +1985,7 @@ "{'first': 'Bob', 'last': 'Smith'}" ] }, - "execution_count": 91, + "execution_count": 94, "metadata": {}, "output_type": "execute_result" } @@ -1933,7 +1997,7 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 95, "metadata": {}, "outputs": [ { @@ -1942,7 +2006,7 @@ "'Smith'" ] }, - "execution_count": 92, + "execution_count": 95, "metadata": {}, "output_type": "execute_result" } @@ -1954,16 +2018,16 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 96, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['dev', 'mgr']" + "['developer', 'manager']" ] }, - "execution_count": 93, + "execution_count": 96, "metadata": {}, "output_type": "execute_result" } @@ -1975,16 +2039,16 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 97, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'mgr'" + "'manager'" ] }, - "execution_count": 94, + "execution_count": 97, "metadata": {}, "output_type": "execute_result" } @@ -1996,7 +2060,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 98, "metadata": {}, "outputs": [], "source": [ @@ -2006,18 +2070,18 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 99, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'name': {'first': 'Bob', 'last': 'Smith'},\n", - " 'job': ['dev', 'mgr', 'janitor'],\n", + " 'job': ['developer', 'manager', 'janitor'],\n", " 'age': 40.5}" ] }, - "execution_count": 96, + "execution_count": 99, "metadata": {}, "output_type": "execute_result" } @@ -2028,31 +2092,31 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 100, "metadata": {}, "outputs": [], "source": [ "# sorting keys with for loops\n", "D = {}\n", + "D['d'] = 4\n", + "D['e'] = 5\n", "D['a'] = 1\n", "D['b'] = 2\n", - "D['c'] = 3\n", - "D['d'] = 4\n", - "D['e'] = 5" + "D['c'] = 3" ] }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 101, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5}" + "{'d': 4, 'e': 5, 'a': 1, 'b': 2, 'c': 3}" ] }, - "execution_count": 98, + "execution_count": 101, "metadata": {}, "output_type": "execute_result" } @@ -2063,18 +2127,18 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 102, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ + "d 4\n", + "e 5\n", "a 1\n", "b 2\n", - "c 3\n", - "d 4\n", - "e 5\n" + "c 3\n" ] } ], @@ -2086,30 +2150,33 @@ }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 103, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ + "d 4\n", + "e 5\n", + "Value 5 has Key e.\n", "a 1\n", "b 2\n", - "c 3\n", - "d 4\n", - "e 5\n" + "c 3\n" ] } ], "source": [ - "# iterate over dict key-value pairs\n", + "# iterate over dict key-value pairs and check for a value\n", "for key, value in D.items():\n", - " print(key,value)" + " print(key,value)\n", + " if (value == 5):\n", + " print('Value 5 has Key %s.' % key)" ] }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 104, "metadata": {}, "outputs": [ { @@ -2132,42 +2199,10 @@ }, { "cell_type": "code", - "execution_count": 102, - "metadata": {}, - "outputs": [], - "source": [ - "# checking if key exists\n", - "D = {'a': 1, 'c': 3, 'b': 2}" - ] - }, - { - "cell_type": "code", - "execution_count": 103, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'a': 1, 'c': 3, 'b': 2}" - ] - }, - "execution_count": 103, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "D" - ] - }, - { - "cell_type": "code", - "execution_count": 104, + "execution_count": null, "metadata": {}, "outputs": [], - "source": [ - "D['e'] = 99" - ] + "source": [] }, { "cell_type": "code", @@ -2177,7 +2212,7 @@ { "data": { "text/plain": [ - "{'a': 1, 'c': 3, 'b': 2, 'e': 99}" + "{'name': 'Jon', 'job': 'student', 'zip_code': '92037', 'city': 'La Jolla'}" ] }, "execution_count": 105, @@ -2186,27 +2221,31 @@ } ], "source": [ - "D" + "# combine two lists (or tuples) into dictionary using dict(zip(list1, list2))\n", + "keys = ['name', 'job', 'zip_code', 'city']\n", + "values = ['Jon', 'student', '92037', 'La Jolla']\n", + "d = dict(zip(keys, values))\n", + "d" ] }, { "cell_type": "code", "execution_count": 106, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 106, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "'e' in D" + "# dict of dicts with zip\n", + "import random\n", + "\n", + "ids = [random.randint(0,999999) for x in range(5)]\n", + "\n", + "student1 = {'name': 'Adriana', 'year': 'G1', 'major': 'Marine Biology'}\n", + "student2 = {'name': 'Bernice', 'year': 'G2', 'major': 'Oceanography'}\n", + "student3 = {'name': 'Chelsea', 'year': 'G1', 'major': 'Climate Science'}\n", + "student4 = {'name': 'Dorothy', 'year': 'G3', 'major': 'Physics'}\n", + "student5 = {'name': 'Eleanor', 'year': 'G1', 'major': 'Business'}\n", + "\n", + "directory = dict(zip(ids, [student1, student2, student3, student4, student5]))" ] }, { @@ -2217,7 +2256,11 @@ { "data": { "text/plain": [ - "False" + "{927426: {'name': 'Adriana', 'year': 'G1', 'major': 'Marine Biology'},\n", + " 219539: {'name': 'Bernice', 'year': 'G2', 'major': 'Oceanography'},\n", + " 836857: {'name': 'Chelsea', 'year': 'G1', 'major': 'Climate Science'},\n", + " 799252: {'name': 'Dorothy', 'year': 'G3', 'major': 'Physics'},\n", + " 976432: {'name': 'Eleanor', 'year': 'G1', 'major': 'Business'}}" ] }, "execution_count": 107, @@ -2226,7 +2269,7 @@ } ], "source": [ - "'f' in D" + "directory" ] }, { @@ -2238,61 +2281,24 @@ "name": "stdout", "output_type": "stream", "text": [ - "missing\n" + "927426 Adriana\n", + "219539 Bernice\n", + "836857 Chelsea\n", + "799252 Dorothy\n", + "976432 Eleanor\n", + "141910 is not in the directory\n", + "444284 is not in the directory\n" ] } ], "source": [ - "if not 'f' in D:\n", - " print('missing')" - ] - }, - { - "cell_type": "code", - "execution_count": 109, - "metadata": {}, - "outputs": [], - "source": [ - "# combine two lists into dictionary using dict(zip(list1, list2))" - ] - }, - { - "cell_type": "code", - "execution_count": 110, - "metadata": {}, - "outputs": [], - "source": [ - "keys = ['name', 'job', 'zip_code', 'city']\n", - "values = ['Jon', 'student', '92037', 'La Jolla']" - ] - }, - { - "cell_type": "code", - "execution_count": 111, - "metadata": {}, - "outputs": [], - "source": [ - "d = dict(zip(keys, values))" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'name': 'Jon', 'job': 'student', 'zip_code': '92037', 'city': 'La Jolla'}" - ] - }, - "execution_count": 112, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "d" + "# check if key is in dict\n", + "student_list = ids + [random.randint(0,999999) for x in range(2)]\n", + "for student in student_list:\n", + " if student in directory:\n", + " print(student, directory[student]['name'])\n", + " else:\n", + " print('%s is not in the directory' % student)" ] }, { @@ -2313,17 +2319,17 @@ }, { "cell_type": "code", - "execution_count": 113, + "execution_count": 109, "metadata": {}, "outputs": [], "source": [ - "X = set('spam')\n", - "Y = set(['h', 'a', 'm']) " + "X = set('spammm')\n", + "Y = set(['h', 'a', 'm'])" ] }, { "cell_type": "code", - "execution_count": 114, + "execution_count": 110, "metadata": {}, "outputs": [ { @@ -2332,7 +2338,7 @@ "{'a', 'm', 'p', 's'}" ] }, - "execution_count": 114, + "execution_count": 110, "metadata": {}, "output_type": "execute_result" } @@ -2343,7 +2349,7 @@ }, { "cell_type": "code", - "execution_count": 115, + "execution_count": 111, "metadata": {}, "outputs": [ { @@ -2352,7 +2358,7 @@ "{'a', 'h', 'm'}" ] }, - "execution_count": 115, + "execution_count": 111, "metadata": {}, "output_type": "execute_result" } @@ -2363,7 +2369,7 @@ }, { "cell_type": "code", - "execution_count": 116, + "execution_count": 112, "metadata": {}, "outputs": [], "source": [ @@ -2372,7 +2378,7 @@ }, { "cell_type": "code", - "execution_count": 117, + "execution_count": 113, "metadata": {}, "outputs": [ { @@ -2381,7 +2387,7 @@ "{'a', 'm'}" ] }, - "execution_count": 117, + "execution_count": 113, "metadata": {}, "output_type": "execute_result" } @@ -2392,7 +2398,7 @@ }, { "cell_type": "code", - "execution_count": 118, + "execution_count": 114, "metadata": {}, "outputs": [], "source": [ @@ -2401,7 +2407,7 @@ }, { "cell_type": "code", - "execution_count": 119, + "execution_count": 115, "metadata": {}, "outputs": [ { @@ -2410,7 +2416,7 @@ "{'a', 'h', 'm', 'p', 's'}" ] }, - "execution_count": 119, + "execution_count": 115, "metadata": {}, "output_type": "execute_result" } @@ -2421,7 +2427,7 @@ }, { "cell_type": "code", - "execution_count": 120, + "execution_count": 116, "metadata": {}, "outputs": [], "source": [ @@ -2430,7 +2436,7 @@ }, { "cell_type": "code", - "execution_count": 121, + "execution_count": 117, "metadata": { "scrolled": true }, @@ -2441,7 +2447,7 @@ "{'p', 's'}" ] }, - "execution_count": 121, + "execution_count": 117, "metadata": {}, "output_type": "execute_result" } @@ -2452,7 +2458,7 @@ }, { "cell_type": "code", - "execution_count": 122, + "execution_count": 118, "metadata": {}, "outputs": [ { @@ -2461,7 +2467,7 @@ "set" ] }, - "execution_count": 122, + "execution_count": 118, "metadata": {}, "output_type": "execute_result" } @@ -2479,7 +2485,7 @@ }, { "cell_type": "code", - "execution_count": 123, + "execution_count": 119, "metadata": {}, "outputs": [ { @@ -2488,7 +2494,7 @@ "(False, True)" ] }, - "execution_count": 123, + "execution_count": 119, "metadata": {}, "output_type": "execute_result" } @@ -2499,7 +2505,7 @@ }, { "cell_type": "code", - "execution_count": 124, + "execution_count": 120, "metadata": {}, "outputs": [ { @@ -2508,7 +2514,7 @@ "(False, True)" ] }, - "execution_count": 124, + "execution_count": 120, "metadata": {}, "output_type": "execute_result" } @@ -2519,7 +2525,7 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 121, "metadata": { "scrolled": true }, @@ -2530,7 +2536,7 @@ "True" ] }, - "execution_count": 125, + "execution_count": 121, "metadata": {}, "output_type": "execute_result" } @@ -2541,7 +2547,7 @@ }, { "cell_type": "code", - "execution_count": 126, + "execution_count": 122, "metadata": {}, "outputs": [ { @@ -2550,7 +2556,7 @@ "True" ] }, - "execution_count": 126, + "execution_count": 122, "metadata": {}, "output_type": "execute_result" } @@ -2561,7 +2567,7 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": 123, "metadata": {}, "outputs": [ { @@ -2570,7 +2576,7 @@ "1" ] }, - "execution_count": 127, + "execution_count": 123, "metadata": {}, "output_type": "execute_result" } @@ -2581,7 +2587,7 @@ }, { "cell_type": "code", - "execution_count": 128, + "execution_count": 124, "metadata": {}, "outputs": [ { @@ -2590,7 +2596,7 @@ "2" ] }, - "execution_count": 128, + "execution_count": 124, "metadata": {}, "output_type": "execute_result" } @@ -2601,7 +2607,7 @@ }, { "cell_type": "code", - "execution_count": 129, + "execution_count": 125, "metadata": {}, "outputs": [ { @@ -2610,7 +2616,7 @@ "True" ] }, - "execution_count": 129, + "execution_count": 125, "metadata": {}, "output_type": "execute_result" } @@ -2621,7 +2627,7 @@ }, { "cell_type": "code", - "execution_count": 130, + "execution_count": 126, "metadata": {}, "outputs": [ { @@ -2630,7 +2636,7 @@ "False" ] }, - "execution_count": 130, + "execution_count": 126, "metadata": {}, "output_type": "execute_result" } @@ -2641,7 +2647,7 @@ }, { "cell_type": "code", - "execution_count": 131, + "execution_count": 127, "metadata": {}, "outputs": [ { @@ -2650,7 +2656,7 @@ "True" ] }, - "execution_count": 131, + "execution_count": 127, "metadata": {}, "output_type": "execute_result" } @@ -2661,7 +2667,7 @@ }, { "cell_type": "code", - "execution_count": 132, + "execution_count": 128, "metadata": {}, "outputs": [ { @@ -2670,7 +2676,7 @@ "False" ] }, - "execution_count": 132, + "execution_count": 128, "metadata": {}, "output_type": "execute_result" } @@ -2681,7 +2687,7 @@ }, { "cell_type": "code", - "execution_count": 133, + "execution_count": 129, "metadata": {}, "outputs": [ { @@ -2690,7 +2696,7 @@ "bool" ] }, - "execution_count": 133, + "execution_count": 129, "metadata": {}, "output_type": "execute_result" } @@ -2708,7 +2714,7 @@ }, { "cell_type": "code", - "execution_count": 134, + "execution_count": 130, "metadata": {}, "outputs": [], "source": [ @@ -2717,7 +2723,7 @@ }, { "cell_type": "code", - "execution_count": 135, + "execution_count": 131, "metadata": {}, "outputs": [], "source": [ @@ -2726,7 +2732,7 @@ }, { "cell_type": "code", - "execution_count": 136, + "execution_count": 132, "metadata": {}, "outputs": [ { @@ -2743,7 +2749,7 @@ }, { "cell_type": "code", - "execution_count": 137, + "execution_count": 133, "metadata": {}, "outputs": [], "source": [ @@ -2752,7 +2758,7 @@ }, { "cell_type": "code", - "execution_count": 138, + "execution_count": 134, "metadata": { "scrolled": false }, @@ -2763,7 +2769,7 @@ "NoneType" ] }, - "execution_count": 138, + "execution_count": 134, "metadata": {}, "output_type": "execute_result" } @@ -2781,7 +2787,7 @@ }, { "cell_type": "code", - "execution_count": 139, + "execution_count": 135, "metadata": {}, "outputs": [ { @@ -2790,7 +2796,7 @@ "int" ] }, - "execution_count": 139, + "execution_count": 135, "metadata": {}, "output_type": "execute_result" } @@ -2801,7 +2807,7 @@ }, { "cell_type": "code", - "execution_count": 140, + "execution_count": 136, "metadata": {}, "outputs": [ { @@ -2810,7 +2816,7 @@ "float" ] }, - "execution_count": 140, + "execution_count": 136, "metadata": {}, "output_type": "execute_result" } @@ -2821,7 +2827,7 @@ }, { "cell_type": "code", - "execution_count": 141, + "execution_count": 137, "metadata": {}, "outputs": [ { @@ -2830,7 +2836,7 @@ "str" ] }, - "execution_count": 141, + "execution_count": 137, "metadata": {}, "output_type": "execute_result" } @@ -2841,7 +2847,7 @@ }, { "cell_type": "code", - "execution_count": 142, + "execution_count": 138, "metadata": {}, "outputs": [ { @@ -2850,7 +2856,7 @@ "list" ] }, - "execution_count": 142, + "execution_count": 138, "metadata": {}, "output_type": "execute_result" } @@ -2861,7 +2867,7 @@ }, { "cell_type": "code", - "execution_count": 143, + "execution_count": 139, "metadata": {}, "outputs": [ { @@ -2870,7 +2876,7 @@ "tuple" ] }, - "execution_count": 143, + "execution_count": 139, "metadata": {}, "output_type": "execute_result" } @@ -2881,7 +2887,7 @@ }, { "cell_type": "code", - "execution_count": 144, + "execution_count": 140, "metadata": {}, "outputs": [ { @@ -2890,7 +2896,7 @@ "dict" ] }, - "execution_count": 144, + "execution_count": 140, "metadata": {}, "output_type": "execute_result" } @@ -2901,7 +2907,7 @@ }, { "cell_type": "code", - "execution_count": 145, + "execution_count": 141, "metadata": {}, "outputs": [ { @@ -2910,7 +2916,7 @@ "set" ] }, - "execution_count": 145, + "execution_count": 141, "metadata": {}, "output_type": "execute_result" } @@ -2921,7 +2927,7 @@ }, { "cell_type": "code", - "execution_count": 146, + "execution_count": 142, "metadata": {}, "outputs": [ { @@ -2930,7 +2936,7 @@ "bool" ] }, - "execution_count": 146, + "execution_count": 142, "metadata": {}, "output_type": "execute_result" } @@ -2941,7 +2947,7 @@ }, { "cell_type": "code", - "execution_count": 147, + "execution_count": 143, "metadata": { "scrolled": false }, @@ -2952,7 +2958,7 @@ "bool" ] }, - "execution_count": 147, + "execution_count": 143, "metadata": {}, "output_type": "execute_result" } @@ -2963,7 +2969,7 @@ }, { "cell_type": "code", - "execution_count": 148, + "execution_count": 144, "metadata": {}, "outputs": [ { @@ -2972,7 +2978,7 @@ "NoneType" ] }, - "execution_count": 148, + "execution_count": 144, "metadata": {}, "output_type": "execute_result" } diff --git a/lessons/lesson08.ipynb b/lessons/lesson08.ipynb index ab38556..3e8d53a 100644 --- a/lessons/lesson08.ipynb +++ b/lessons/lesson08.ipynb @@ -6,15 +6,30 @@ "source": [ "## Lesson 08 - Python and IPython Review\n", "\n", - "* McKinney Appendix: Python Language Essentials\n", - "* McKinney Chapter 3" + "### Readings\n", + "\n", + "* McKinney: [Chapter 1. Preliminaries](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/preliminaries/intro_html)\n", + "* McKinney: [Chapter 2. Python Language Basics, IPython, and Jupyter Notebooks](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/python-language-basics-ipython-and-jupyter-notebooks/intro_python_environment_html)\n", + "* McKinney: [Chapter 3. Built-in Data Structures, Functions, and Files](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/built-in-data-structures-functions-and-files/intro_python_stdlib_html)\n", + "\n", + "### Table of Contents\n", + "\n", + "* [Python Review](#python)\n", + "* [Python Script Example](#script)\n", + "* [IPython Review](#ipython)\n", + "* [Jupyter Notebook Command Review](#jupyter)\n", + "* [Star Operator](#star)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Python Review (plus a few new features)\n", + "\n", + "\n", + "### Python Review\n", + "\n", + "Plus a few new features...\n", "\n", "For this lesson, we will open up an IPython terminal (type `ipython` at your bash prompt) and follow along. Then we will work though an example script, executed from the command line." ] @@ -149,7 +164,7 @@ "source": [ "#### Ordered Dicts\n", "\n", - "Dicts are inherently unordered (though may appear ordered in Python 3.6), but there are ways to order them if you need to. If you wanted to print the contents of a dict in its natural disordered state, you could write:\n", + "Dicts are inherently unordered (though may appear ordered in Python 3.7), but there are ways to order them if you need to. If you wanted to print the contents of a dict in its natural disordered state, you could write:\n", "\n", "\tfor key, value in mydict.items():\n", "\t print(key, value)\n", @@ -371,7 +386,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Example: Survey for Python Students\n", + "\n", + "\n", + "### Python Script Example\n", + "\n", + "Survey for Python Students\n", "\n", "```python\n", "# survey_sio209.py\n", @@ -464,16 +483,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### The star operator\n", + "\n", "\n", - "http://stackoverflow.com/questions/2921847/what-does-the-star-operator-mean" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### IPython Review (plus a few new features)" + "### IPython Review\n", + "\n", + "Plus a few new features..." ] }, { @@ -559,11 +573,319 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### Jupyter Notebook Command Review\n", + "\n", + "\n", + "### Jupyter Notebook Command Review\n", "\n", "![commands](https://media.cheatography.com/storage/thumb/weidadeyue_jupyter-notebook.750.jpg)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "### Star Operator\n", + "\n", + "To be run from the notebook. Adapted from [Stack Overflow](http://stackoverflow.com/questions/2921847/what-does-the-star-operator-mean). Also see the [Python Documentation](https://docs.python.org/3/tutorial/controlflow.html#more-on-defining-functions)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The single star `*` unpacks the sequence/collection into **positional arguments**, so you can do this:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def sum(a, b):\n", + " return a + b\n", + "\n", + "values = (1, 2)\n", + "\n", + "sum(*values)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This will unpack the tuple so that it actually executes as:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sum(1, 2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The double star `**` does the same, only using a dictionary and thus **named arguments**:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "values = {'a': 1, 'b': 2}\n", + "sum(**values)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can also combine:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "28" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def sum(a, b, c, d):\n", + " return a + b + c + d\n", + "\n", + "values1 = (1, 2)\n", + "values2 = {'c': 10, 'd': 15}\n", + "\n", + "sum(*values1, **values2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "will execute as:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "28" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sum(1, 2, c=10, d=15)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Additionally, you can define functions to take `*x` and `**y` arguments. This allows a function to accept any number of positional and/or named arguments that aren't specifically named in the declaration. \n", + "\n", + "Example with `*` (positional arguments):" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "15" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def sum(*values):\n", + " s = 0\n", + " for v in values:\n", + " s = s + v\n", + " return s\n", + "\n", + "sum(1, 2, 3, 4, 5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Example with `**` (named arguments):" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def get_a(**values):\n", + " return values['a']\n", + "\n", + "get_a(a=1, b=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This can allow you to specify **optional parameters** without having to declare them. And again, you can combine `*` and `**`:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "def sum(*values, **options):\n", + " s = 0\n", + " for i in values:\n", + " s = s + i\n", + " if \"neg\" in options:\n", + " if options[\"neg\"]:\n", + " s = -s\n", + " return s" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "15" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sum(1, 2, 3, 4, 5)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-15" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sum(1, 2, 3, 4, 5, neg=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "15" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sum(1, 2, 3, 4, 5, neg=False)" + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/lessons/lesson09.ipynb b/lessons/lesson09.ipynb index 33c8959..f69e4ed 100644 --- a/lessons/lesson09.ipynb +++ b/lessons/lesson09.ipynb @@ -6,38 +6,37 @@ "source": [ "## Lesson 09 - Regular Expressions\n", "\n", - "Resources:\n", + "### Readings\n", "\n", - "* [Regular Expression HOWTO (for Python)](https://docs.python.org/3/howto/regex.html)\n", - "* [Drew's Grep Tutorial](http://www.uccs.edu/~ahitchco/grep/), [Linux Grep Tutorial](http://ryanstutorials.net/linuxtutorial/grep.php)\n", - "* [Perl 5 Regex Cheat Sheet](https://perlmaven.com/regex-cheat-sheet)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Today we will cover:\n", + "* Kuchling: [Regular Expression HOWTO (for Python)](https://docs.python.org/3/howto/regex.html)\n", + "* [Linux Grep Tutorial](http://ryanstutorials.net/linuxtutorial/grep.php)\n", + "* [Perl 5 Regex Cheat Sheet](https://perlmaven.com/regex-cheat-sheet)\n", "\n", - "* What are regular expressions?\n", - "* Regular expression syntax\n", - "* `sed` examples (use `sed -E`)\n", - "* `grep` examples (use `egrep` or `grep -E`)\n", - "* Python examples: `re` module (note there are also built-in methods of objects)" + "### Table of Contents\n", + "\n", + "* [Introduction](#intro)\n", + "* [Basic Syntax](#syntax)\n", + "* [sed](#sed)\n", + "* [grep](#grep)\n", + "* [Atom and Sublime Text](#tutorial)\n", + "* [Python](#re)\n", + "* [Regex Cheatsheet](#cheatsheet)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### What are regular expresions?" + "\n", + "\n", + "### Introduction: What are regular expresions?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Regular expressions are used to match patterns in strings. We build regular expressions to match exactly the possible string permutations we want *and nothing more*.\n", + "A *regular expression* is a special sequence of characters that helps you match or find other strings or sets of strings, using a specialized syntax held in a pattern. Regular expressions, also called \"regex\", are widely used in the UNIX world. We build regular expressions to match exactly the possible string permutations we want *and nothing more*.\n", "\n", "Here are some examples of regular expressions:\n", "\n", @@ -53,7 +52,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Regular expression syntax" + "\n", + "\n", + "### Regular Expression Syntax" ] }, { @@ -142,7 +143,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### `sed` examples (use `sed -E`)\n", + "\n", + "\n", + "### sed\n", "\n", "`sed` stands for 'stream editor'. It accepts standard input, modifies it, and prints to standard output.\n", "\n", @@ -272,11 +275,18 @@ "sed 's/.*\\(Dd\\)*/XXX/g' test_regex.txt" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Using `sed -E` instead of `sed` will give you access to the advanced Perl regular expression syntax." + ] + }, { "cell_type": "code", "execution_count": 7, "metadata": { - "scrolled": true + "scrolled": false }, "outputs": [ { @@ -322,9 +332,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### `grep` examples (use `egrep` or `grep -E`)\n", + "\n", + "\n", + "### grep\n", "\n", - "`grep` comes from the phrase 'Global search for Regular Expression and Print matching lines'." + "`grep` comes from the phrase \"Global search for Regular Expression and Print matching lines\"." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Using `egrep` or `grep -E` instead of `grep` will give you access to the advanced Perl regular expression syntax." ] }, { @@ -392,16 +411,6 @@ "cell_type": "code", "execution_count": 12, "metadata": {}, - "outputs": [], - "source": [ - "%%bash\n", - "egrep \"Cc{3}\" test_regex.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, "outputs": [ { "name": "stdout", @@ -419,7 +428,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -441,16 +450,31 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Regular expressions in Python" + "\n", + "\n", + "### Atom or Sublime Text\n", + "\n", + "Your favorite GUI text editor supports regular expressions with live search! \n", + "\n", + "1. Open `test_regex.txt` in Atom or Sublime Text and try searching for regular expressions.\n", + "2. Find and replace text using regular expressions.\n", + "3. Replace matching substrings using parentheses to group expressions `(regex1) (regex2)` and recall them with numerical variables `$1`, `$2`, etc." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Adapted from [TutorialsPoint](http://www.tutorialspoint.com/python/python_reg_expressions.htm).\n", + "\n", "\n", - "A *regular expression* is a special sequence of characters that helps you match or find other strings or sets of strings, using a specialized syntax held in a pattern. Regular expressions are widely used in the UNIX world.\n", + "### Python" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Adapted from [TutorialsPoint](http://www.tutorialspoint.com/python/python_reg_expressions.htm).\n", "\n", "The module `re` provides full support for Perl-like regular expressions in Python. The `re` module raises the exception `re.error` if an error occurs while compiling or using a regular expression.\n", "\n", @@ -461,7 +485,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -502,7 +526,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -513,16 +537,16 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "<_sre.SRE_Match object; span=(6, 10), match='With'>" + "" ] }, - "execution_count": 17, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -533,7 +557,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -542,7 +566,7 @@ "'With'" ] }, - "execution_count": 18, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -553,7 +577,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -562,7 +586,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -571,7 +595,7 @@ "'With'" ] }, - "execution_count": 20, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -582,7 +606,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -591,7 +615,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 21, "metadata": { "scrolled": true }, @@ -599,10 +623,10 @@ { "data": { "text/plain": [ - "<_sre.SRE_Match object; span=(0, 5), match='Begin'>" + "" ] }, - "execution_count": 22, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -613,16 +637,16 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "<_sre.SRE_Match object; span=(0, 5), match='Begin'>" + "" ] }, - "execution_count": 23, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -633,7 +657,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -642,7 +666,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -655,7 +679,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -664,7 +688,7 @@ "('3.8', '1')" ] }, - "execution_count": 26, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -675,7 +699,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -684,7 +708,7 @@ "'3.8 Liters in 1 Gallon'" ] }, - "execution_count": 27, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -695,7 +719,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -734,7 +758,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -745,7 +769,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -754,7 +778,7 @@ "'2004-959-559 '" ] }, - "execution_count": 30, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -767,7 +791,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -776,7 +800,7 @@ "'2004-959-559'" ] }, - "execution_count": 31, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -787,7 +811,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -796,7 +820,7 @@ "'2004959559'" ] }, - "execution_count": 32, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -807,6 +831,34 @@ "num" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Keep and use matching substrings:" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'L001'" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "filename = 'sample_name_L001_R1_001.fastq'\n", + "re.sub(r'.*_(L00[12])_(R[12])_.*.fastq', r'\\1', filename)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -847,7 +899,7 @@ { "data": { "text/plain": [ - "<_sre.SRE_Match object; span=(2, 4), match='ab'>" + "" ] }, "execution_count": 34, @@ -986,7 +1038,7 @@ { "data": { "text/plain": [ - "<_sre.SRE_Match object; span=(0, 5), match='tempo'>" + "" ] }, "execution_count": 41, @@ -1101,7 +1153,96 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Appendix: Python regular expression cheat sheet" + "#### Built-in string methods" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "10" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "string.find('String')" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "string.startswith('Here')" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "string.endswith('g')" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "string.startswith('Is', 5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "### Appendix: Regular Expression Cheatsheet" ] }, { @@ -1305,7 +1446,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.0" } }, "nbformat": 4, diff --git a/lessons/lesson10.ipynb b/lessons/lesson10.ipynb index 4fb20f6..a7a8581 100644 --- a/lessons/lesson10.ipynb +++ b/lessons/lesson10.ipynb @@ -6,13 +6,25 @@ "source": [ "## Lesson 10 - Numpy, Pandas and Matplotlib Crashcourse\n", "\n", - "Here will introduce Numpy, Pandas and Matplotlib. Numpy is the core numerical computing package in Python, and its core type is ndarray. Pandas uses DataFrames (tables, much like R DataFrames) and Series (columns of a DataFrame) with powerful SQL-like queries. Matplotlib is a package for plotting, which uses a MATLAB-style syntax." + "Here will introduce Numpy, Pandas and Matplotlib. Numpy is the core numerical computing package in Python, and its core type is ndarray. Pandas uses DataFrames (tables, much like R DataFrames) and Series (columns of a DataFrame) with powerful SQL-like queries. Matplotlib is a package for plotting, which uses a MATLAB-style syntax.\n", + "\n", + "### Readings\n", + "\n", + "* Pratik: [Introduction to Numpy and Pandas](https://cloudxlab.com/blog/numpy-pandas-introduction/)\n", + "\n", + "### Table of Contents\n", + "\n", + "* [Numpy](#numpy)\n", + "* [Pandas](#pandas)\n", + "* [Matplotlib](#matplotlib)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Numpy" ] }, @@ -1839,11 +1851,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Pandas\n", "\n", - "#### What is Pandas? From Wikipedia...\n", + "#### What is Pandas?\n", "\n", - "pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. \n", + "Pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. \n", "\n", "#### Library features\n", "\n", @@ -2519,6 +2533,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Matplotlib" ] }, @@ -3049,7 +3065,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.0" } }, "nbformat": 4, From 6930e1c2e0d9d7715f8652112d667e4f99134355 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Mon, 22 Oct 2018 16:02:53 -0700 Subject: [PATCH 29/78] update to lessons 8 --- lessons/lesson08.ipynb | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/lessons/lesson08.ipynb b/lessons/lesson08.ipynb index 3e8d53a..fe12b18 100644 --- a/lessons/lesson08.ipynb +++ b/lessons/lesson08.ipynb @@ -31,7 +31,10 @@ "\n", "Plus a few new features...\n", "\n", - "For this lesson, we will open up an IPython terminal (type `ipython` at your bash prompt) and follow along. Then we will work though an example script, executed from the command line." + "For this lesson, we will open up an IPython terminal and follow along.\n", + "\n", + "* `source activate python2` (want Python 2 because dicts work differently)\n", + "* `ipython`" ] }, { @@ -390,7 +393,7 @@ "\n", "### Python Script Example\n", "\n", - "Survey for Python Students\n", + "This is a survey for Python students. We will work though this example script then execute it from the command line.\n", "\n", "```python\n", "# survey_sio209.py\n", From e22029e924f37ec7c4ae357ae4d9108f8bc980b0 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Wed, 24 Oct 2018 12:59:00 -0700 Subject: [PATCH 30/78] updates after class --- lessons/lesson08.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lessons/lesson08.ipynb b/lessons/lesson08.ipynb index fe12b18..ef941b7 100644 --- a/lessons/lesson08.ipynb +++ b/lessons/lesson08.ipynb @@ -477,8 +477,8 @@ "print(\"\"\"\n", "Thank you for completing the survey!\n", "\n", - "Your answers have been stored in the file 'answers_%s_%s.csv'.\n", - "\"\"\" % (first_name, last_name))\n", + "Your answers have been stored in the file '%s'.\n", + "\"\"\" % outfile)\n", "```" ] }, From e56b059f0b993d7eabc475a15a8bae49b5119175 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Thu, 25 Oct 2018 12:51:43 -0700 Subject: [PATCH 31/78] assignment 4 and assignment 3 answers posted --- assignments/answers/assignment3_answers.ipynb | 1193 +++++++++++++++++ assignments/assignment3.md | 12 +- assignments/assignment4.md | 14 +- 3 files changed, 1205 insertions(+), 14 deletions(-) create mode 100644 assignments/answers/assignment3_answers.ipynb diff --git a/assignments/answers/assignment3_answers.ipynb b/assignments/answers/assignment3_answers.ipynb new file mode 100644 index 0000000..a048a19 --- /dev/null +++ b/assignments/answers/assignment3_answers.ipynb @@ -0,0 +1,1193 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Answers for Assignment 3 - Python Fundamentals I\n", + "\n", + "Complete the tasks below. You should turn in a single Jupyter notebook named `3_first_last.ipynb` (substitute your first and last name); please run Kernel > Restart & Run All on your notebook before turning in. Also turn in the input CSV file used in question B3. For questions where Python scripts are used instead of the Jupyter notebook (questions A1, B1, B2), instructions are provided about pasting output/scripts into Markdown cells in your notebook." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### A. Python basics, strings, printing (Shaw Exercises 1–10)\n", + "\n", + "**1.** Take the file of Python code you generated in Exercise 1, called `ex1.py`, and run it on the command line. Copy the command and output from your terminal and paste it in a markdown cell in your Jupyter notebook. (Ex1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Content of `ex1.py`:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```python\n", + "# ex1.py\n", + "print(\"Hello World!\")\n", + "print(\"Hello Again\")\n", + "print(\"I like typing this.\")\n", + "print(\"This is fun.\")\n", + "print('Yay! Printing.')\n", + "print(\"I'd much rather you 'not'.\")\n", + "print('I \"said\" do not touch this.')\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```bash\n", + "$ python ex1.py\n", + "Hello World!\n", + "Hello Again\n", + "I like typing this.\n", + "This is fun.\n", + "Yay! Printing.\n", + "I'd much rather you 'not'.\n", + "I \"said\" do not touch this.\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that the symbols \\`\\`\\` around a block of text render that text as code not plaintext. A single newline between rows of plaintext must be separated with a `
` to be rendered on separate lines." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**2.** Print a sentence that contains a phrase in double quotes; print a sentence that contains an apostrophe. (Ex1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The Kuiper belt's over 100,000 \"KBOs\" (Kuiper belt objects) are found 30 to 50 AUs from the Sun.\n" + ] + } + ], + "source": [ + "# print the sentence with a comma separating it into two strings for readability\n", + "print('The Kuiper belt\\'s over 100,000 \"KBOs\" (Kuiper belt objects)', \n", + " 'are found 30 to 50 AUs from the Sun.')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**3.** Deliberately enter five incorrect commands (in separate cells) and interpret the error messages. (Ex1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "ename": "SyntaxError", + "evalue": "Missing parentheses in call to 'print'. Did you mean print(\"No parentheses\")? (, line 2)", + "output_type": "error", + "traceback": [ + "\u001b[0;36m File \u001b[0;32m\"\"\u001b[0;36m, line \u001b[0;32m2\u001b[0m\n\u001b[0;31m print \"No parentheses\"\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m Missing parentheses in call to 'print'. Did you mean print(\"No parentheses\")?\n" + ] + } + ], + "source": [ + "# print something -- which version of python is this?\n", + "print \"No parentheses\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Missing parentheses in call to 'print'. Python 3 requires parentheses around those objects to be printed." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "ename": "SyntaxError", + "evalue": "invalid syntax (, line 2)", + "output_type": "error", + "traceback": [ + "\u001b[0;36m File \u001b[0;32m\"\"\u001b[0;36m, line \u001b[0;32m2\u001b[0m\n\u001b[0;31m print('It's my birthday')\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" + ] + } + ], + "source": [ + "# a sentence with an apostrophe\n", + "print('It's my birthday')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Invalid syntax. The single quote `'` either needs to be wrapped in double quotes `\"` or escaped with `\\`." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "ename": "SyntaxError", + "evalue": "invalid syntax (, line 3)", + "output_type": "error", + "traceback": [ + "\u001b[0;36m File \u001b[0;32m\"\"\u001b[0;36m, line \u001b[0;32m3\u001b[0m\n\u001b[0;31m x++\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" + ] + } + ], + "source": [ + "# let's try to increment x by 1\n", + "x = 5\n", + "x++" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Invalid syntax. Python does not support the `x++` increment operator or its variations. You can use `x += 1` or `x = x + 1`." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "ename": "SyntaxError", + "evalue": "invalid syntax (, line 2)", + "output_type": "error", + "traceback": [ + "\u001b[0;36m File \u001b[0;32m\"\"\u001b[0;36m, line \u001b[0;32m2\u001b[0m\n\u001b[0;31m x+1 for x in range(3)\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" + ] + } + ], + "source": [ + "# list comprehension\n", + "x+1 for x in range(3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Invalid syntax. The list comprehension must be wrapped in square brackets like so: `[x+1 for x in range(3)]`." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "ename": "TypeError", + "evalue": "'tuple' object does not support item assignment", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# trying in vain to assign to a tuple\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0mt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'a'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'b'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'c'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'd'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m: 'tuple' object does not support item assignment" + ] + } + ], + "source": [ + "# trying in vain to assign to a tuple\n", + "t = ('a', 'b', 'c')\n", + "t[3] = 'd'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Just what it says: 'tuple' object does not support item assignment. If you need to change a tuple, you should probably just use a list instead." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**4.** Add comments to your code in \\#2 and \\#3 explaining what is happening. (Ex2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer: see above" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**5.** Write and evaluate five mathematical expressions. (Ex3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "7" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "2 + 5" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "10" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "2 * 5" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "32" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "2**5" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.4" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "2/5" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3.142857142857143" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "2*11/7" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Optional: Use the many features of the `math` module." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3.141592653589793" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import math\n", + "math.pi" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The mathematical constant $\\pi$ differs from the quotient 22/7, an approximation of $\\pi$, by only 0.04%." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.0004024994347707008" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(22/7 - math.pi) / math.pi" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**6.** Assign values to three numeric and three string variables. (Ex4)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer:" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "num1 = 7\n", + "num2 = 11\n", + "num3 = num1 + num2\n", + "str1 = 'first'\n", + "str2 = 'second'\n", + "str3 = 'third'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**7.** Print values of the six variables you assigned in \\#6. (Ex4–5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer:" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The sum of the first number (7) and the second number (11) is the third (18).\n" + ] + } + ], + "source": [ + "# note we can hit enter after the open-parentheses\n", + "print('The sum of the %s number (%s) and the %s number (%s) is the %s (%s).' % (\n", + " str1, num1, str2, num2, str3, num3))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**8.** Print two strings in raw format (%r formatter) and two strings in general/string format (%s formatter) with formatting characters. (Ch6)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'hello'\t'A\\tB'\n", + "hello\tA\tB\n" + ] + } + ], + "source": [ + "# notice how the tab characters are rendered\n", + "print('%r\\t%r\\n%s\\t%s' % ('hello', 'A\\tB', 'hello', 'A\\tB'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**9.** Concatenate two strings into a third string, then find the length of all three strings." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "16" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s1 = 'Bird is '\n", + "s2 = 'the word'\n", + "s3 = s1 + s2\n", + "len(s3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**10.** Print the three strings from \\#9 with a tab between the first and second and a newline between the second and third.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer:" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Bird is \tthe word\n", + "Bird is the word\n" + ] + } + ], + "source": [ + "print('%s\\t%s\\n%s' % (s1, s2, s3))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**11.** Print the three strings from \\#9 with a stored formatter. (Ch7–8)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer:" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Bird is \tthe word\n", + "Bird is the word\n" + ] + } + ], + "source": [ + "fmtr = '%s\\t%s\\n%s'\n", + "print(fmtr % (s1, s2, s3))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**12.** Print a piece of text with five lines using both newline characters and a text block. (Ex9)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "A mathematician, prophetic,\n", + "invented a language, herpetic.\n", + "decidedly brilliant,\n", + "syntacticly elegant,\n", + "Made ideas far less hypothetic.\n", + "\n" + ] + } + ], + "source": [ + "print('A mathematician, prophetic,\\n'\n", + " 'invented a language, herpetic.\\n'\n", + " 'decidedly brilliant,\\n'\n", + " 'syntacticly elegant,\\n'\n", + " 'Made ideas far less hypothetic.\\n')" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "A mathematician, prophetic,\n", + "invented a language, herpetic.\n", + "decidedly brilliant,\n", + "syntacticly elegant,\n", + "Made ideas far less hypothetic.\n" + ] + } + ], + "source": [ + "print('''A mathematician, prophetic,\n", + "invented a language, herpetic.\n", + "decidedly brilliant,\n", + "syntacticly elegant,\n", + "Made ideas far less hypothetic.''')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**13.** Print a string containing a backslash, single-quote, double-qoute, newline, and tab. (Ex10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer:" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This is a backslash \\, single-quote ', double-qoute \", newline,\n", + "and a\ttab.\n" + ] + } + ], + "source": [ + "print('This is a backslash \\\\, single-quote \\', double-qoute \", newline,\\nand a\\ttab.')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### B. Taking input, reading and writing files, functions (Shaw Exercises 11-26) \n", + "\n", + "**1.** Write some code, without using functions, that calculates the average of 5 numbers. Do it three different ways:\n", + "\n", + "* Write a .py file that takes input from the command line using `input()`. After the script works, paste the text of the file into your Jupyter notebook.\n", + "* Write a .py file that takes input from the command line using `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", + "* Enter code into two Jupyter notebooks cells: the first stores value as variables, and the second computes the average." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer for 1-1:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```python\n", + "# assign3_qB1-1.py\n", + "print('Hello! I am Average-Bot! Let me average five numbers please!')\n", + "n1 = float(input('Number 1? '))\n", + "n2 = float(input('Number 2? '))\n", + "n3 = float(input('Number 3? '))\n", + "n4 = float(input('Number 4? '))\n", + "n5 = float(input('Number 5? '))\n", + "print('Shazzam! The average is %s!' % ((n1+n2+n3+n4+n5)/5))\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Notice we have to convert the entered numbers (strings) to floats." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer for 1-2:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```python\n", + "# assign_qB1-2.py\n", + "from sys import argv\n", + "\n", + "x = len(argv)\n", + "if x != 6:\n", + " print('Error! Only %s arguments!\\n,'\n", + " 'Average-Bot requires five numbers as arguments please!' % x)\n", + "else:\n", + " n1 = float(argv[1])\n", + " n2 = float(argv[2])\n", + " n3 = float(argv[3])\n", + " n4 = float(argv[4])\n", + " n5 = float(argv[5])\n", + " print('Shazzam! The average is %s!' % ((n1+n2+n3+n4+n5)/5))\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Again, notice we have to convert the entered numbers (strings) to floats. What would happen if we converted them to ints instead?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer for 1-3:" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3.0" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "numbers = [1, 2, 3, 4, 5]\n", + "average = sum(numbers)/5\n", + "average" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It's a lot easier to get input from the user when you are the user!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**2.** Using functions, write some code that takes two strings, prints them with the first letter capitalized, prints them with all letters capitalized, prints the first and last letter of each, prints the length of each, and then prints the concatenation of the two strings. Do it two different ways:\n", + "\n", + "* Write a .py file that uses `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", + "* In your Jupyter notebook, comment out the `argv` portions and hard code in the values of your strings. Then make sure the code runs the same." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer for 2-1:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```python\n", + "# assign3_qB2.py\n", + "from sys import argv\n", + "\n", + "s1 = argv[1] # 'apple'\n", + "s2 = argv[2] # 'banana'\n", + "\n", + "def exerciseB2(string1, string2):\n", + " print(string1.capitalize(), string2.capitalize())\n", + " print(string1.upper(), string2.upper())\n", + " print(string1[0], string1[-1], string2[0], string2[-1])\n", + " print(len(string1), len(string2))\n", + " print(len(string1)+len(string2))\n", + "\n", + "exerciseB2(s1, s2)\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer for 2-2:" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Apple Banana\n", + "APPLE BANANA\n", + "a e b a\n", + "5 6\n", + "11\n" + ] + } + ], + "source": [ + "# from sys import argv\n", + "\n", + "s1 = 'apple' # argv[1]\n", + "s2 = 'banana' # argv[2]\n", + "\n", + "def exerciseB2(string1, string2):\n", + " print(string1.capitalize(), string2.capitalize())\n", + " print(string1.upper(), string2.upper())\n", + " print(string1[0], string1[-1], string2[0], string2[-1])\n", + " print(len(string1), len(string2))\n", + " print(len(string1)+len(string2))\n", + "\n", + "exerciseB2(s1, s2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**3.** Using a text editor, create a comma-separated values (CSV) file with 5 columns and 5 rows. Save it in the same directory as your Jupyter notebook. In the Jupyter notebook, read and print the file in different ways, and write new files, as follows:\n", + "\n", + "* Read your CSV file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!).\n", + "* Do the same but use a `with` block and a different one of `read()`, `readline()`, or `readlines()`.\n", + "* Using either of the two above methods, then change one row of data, and write your data to a new CSV file.\n", + "* Read your CSV file using Pandas and display the resulting DataFrame.\n", + "* Save your DataFrame to a new file using Pandas." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer for 3-1:" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "index,col1,col2,col3,col4\n", + "row1,1,2,3,4\n", + "row2,5,6,7,8\n", + "row3,9,10,11,12\n", + "row4,13,14,15,16\n", + "\n" + ] + } + ], + "source": [ + "txt = open('../../data/assign3_qB3.csv')\n", + "print(txt.read())\n", + "txt.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer for 3-2:" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "index,col1,col2,col3,col4\n", + "row1,1,2,3,4\n", + "row2,5,6,7,8\n", + "row3,9,10,11,12\n", + "row4,13,14,15,16\n", + "\n" + ] + } + ], + "source": [ + "with open('../../data/assign3_qB3.csv', 'r') as f:\n", + " print(f.read())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer for 3-3:" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "with open('../../data/assign3_qB3.csv', 'r') as f:\n", + " data = f.readlines()\n", + " data[2] = 'row2,17,18,19,20\\n'\n", + "with open('assign3_qB3a.csv', 'w') as target:\n", + " for row in data:\n", + " target.write(row)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['index,col1,col2,col3,col4\\n',\n", + " 'row1,1,2,3,4\\n',\n", + " 'row2,17,18,19,20\\n',\n", + " 'row3,9,10,11,12\\n',\n", + " 'row4,13,14,15,16\\n']" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer for 3-4:" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

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" + ], + "text/plain": [ + " col1 col2 col3 col4\n", + "index \n", + "row1 1 2 3 4\n", + "row2 5 6 7 8\n", + "row3 9 10 11 12\n", + "row4 13 14 15 16" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "df = pd.read_csv('../../data/assign3_qB3.csv', index_col=0)\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer for 3-5:" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "df.to_csv('assign3_qB3b.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.0" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/assignments/assignment3.md b/assignments/assignment3.md index e8644d4..b957dd5 100644 --- a/assignments/assignment3.md +++ b/assignments/assignment3.md @@ -1,6 +1,6 @@ ### Assignment 3 - Python Fundamentals I -Complete the tasks below. You should turn in a single Jupyter notebook named `3_first_last.ipynb` (substitute your first and last name); please run Kernel > Restart & Run All on your notebook before turning in. Also turn in the input .csv file used in question B3. For questions where Python scripts are used instead of the Jupyter notebook (questions A1, B1, B2), instructions are provided about pasting output/scripts into Markdown cells in your notebook. +Complete the tasks below. You should turn in a single Jupyter notebook named `3_first_last.ipynb` (substitute your first and last name); please run Kernel > Restart & Run All on your notebook before turning in. Also turn in the input CSV file used in question B3. For questions where Python scripts are used instead of the Jupyter notebook (questions A1, B1, B2), instructions are provided about pasting output/scripts into Markdown cells in your notebook. #### A. Python basics, strings, printing (Shaw Exercises 1–10) @@ -22,7 +22,7 @@ Complete the tasks below. You should turn in a single Jupyter notebook named `3_ **1.** Write some code, without using functions, that calculates the average of 5 numbers. Do it three different ways: -* Write a .py file that takes input from the command line using `raw_input()` (Python 2) or `input()` (Python 3). After the script works, paste the text of the file into your Jupyter notebook. +* Write a .py file that takes input from the command line using `input()`. After the script works, paste the text of the file into your Jupyter notebook. * Write a .py file that takes input from the command line using `argv`. After the script works, paste the text of the file into your Jupyter notebook. * Enter code into two Jupyter notebooks cells: the first stores value as variables, and the second computes the average. @@ -31,10 +31,10 @@ Complete the tasks below. You should turn in a single Jupyter notebook named `3_ * Write a .py file that uses `argv`. After the script works, paste the text of the file into your Jupyter notebook. * In your Jupyter notebook, comment out the `argv` portions and hard code in the values of your strings. Then make sure the code runs the same. -**3.** Using a text editor, create a comma-separated values file with 5 columns and 5 rows. Save it in the same directory as your Jupyter notebook. In the Jupyter notebook, read and print the file in different ways, and write new files, as follows: +**3.** Using a text editor, create a comma-separated values (CSV) file with 5 columns and 5 rows. Save it in the same directory as your Jupyter notebook. In the Jupyter notebook, read and print the file in different ways, and write new files, as follows: -* Read your .csv file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!). +* Read your CSV file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!). * Do the same but use a `with` block and a different one of `read()`, `readline()`, or `readlines()`. -* Using either of the two above methods, then change one row of data, and write your csv data to a new file. -* Read your .csv file using Pandas and display the resulting DataFrame. +* Using either of the two above methods to read in the file, then change one row of data (i.e., modify the string or list), then write your csv data to a new file. +* Read your CSV file using Pandas and display the resulting DataFrame. * Save your DataFrame to a new file using Pandas. diff --git a/assignments/assignment4.md b/assignments/assignment4.md index 832dd86..6d7df4c 100644 --- a/assignments/assignment4.md +++ b/assignments/assignment4.md @@ -5,17 +5,15 @@ Complete the tasks below. Please turn in a single Jupyter notebook named `4_firs **1.** Lists and loops. * Create a list of 10 random integers in the range of -100 to 100. -* Loop through that list using a for loop. -* Put the non-negative (positive or zero) integers into a new list. -* If negative integers are encountered, print a message saying that the value is negative and printing that value. +* Loop through that list using a for loop. Put the non-negative (positive or zero) integers into a new list. If negative integers are encountered, print a message saying that the value is negative and printing that value. **2.** Functions, lists, and loops. -* Write a function that does what you did in #1 but with the following differences: -* The input list can be any list of numbers. -* The function should take as an argument some cutoff for being included in the new list (e.g., if you want non-negative integers, the criterion would be >=0 and the cutoff would be 0). -* The printed message for failing to be included should also reflect this user-defined parameter. -* The new list should be returned by the function. +* Write a function that does what you did in Question 1 but with the following differences: + - The input list can be any list of numbers. + - The function should take as a parameter a threshold for being included in the new list (e.g., if you want non-negative integers, the threshold would be 0, and the function would check if values are >= to this value). + - The printed message for failing to be included should also report the threshold parameter. + - The new list should be returned by the function. **3.** Dictionaries and list enumeration. From db5d93afe2327affcf50272332608c35eedc4c38 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Fri, 26 Oct 2018 15:59:32 -0700 Subject: [PATCH 32/78] update to github fork instructions --- lessons/lesson20.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lessons/lesson20.md b/lessons/lesson20.md index 54aee96..addd43e 100644 --- a/lessons/lesson20.md +++ b/lessons/lesson20.md @@ -202,7 +202,7 @@ Modified from Yoshiki VΓ‘zquez-Baeza (@ElDeveloper). # click the Fork button, which will create a copy or "fork" of the repository (and # a branch, generally master by default) -# create a `python-for-data-analysis` directory in the current directory `~/git` +# clone the `python-for-data-analysis` directory in the current directory `~/git` # (replace `myusername` with your username) git clone https://github.com/myusername/python-for-data-analysis cd python-for-data-analysis From 69481c2d4d80e6434db6c55833d01cd34cf46880 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Mon, 29 Oct 2018 15:13:39 -0700 Subject: [PATCH 33/78] updates after class --- lessons/lesson09.ipynb | 155 +++++++++++++++++++++++++++++------------ 1 file changed, 112 insertions(+), 43 deletions(-) diff --git a/lessons/lesson09.ipynb b/lessons/lesson09.ipynb index f69e4ed..db26b5e 100644 --- a/lessons/lesson09.ipynb +++ b/lessons/lesson09.ipynb @@ -15,10 +15,10 @@ "### Table of Contents\n", "\n", "* [Introduction](#intro)\n", + "* [Examples with Text Editor](#tutorial)\n", "* [Basic Syntax](#syntax)\n", "* [sed](#sed)\n", "* [grep](#grep)\n", - "* [Atom and Sublime Text](#tutorial)\n", "* [Python](#re)\n", "* [Regex Cheatsheet](#cheatsheet)" ] @@ -52,28 +52,34 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n", + "\n", "\n", - "### Regular Expression Syntax" + "### Examples with Text Editor\n", + "\n", + "Your favorite GUI text editor (Atom, Sublime Text, etc.) supports regular expressions with live search! \n", + "\n", + "1. Open `woodchuck_pandas.csv` (lessons folder) in Atom or Sublime Text and try searching for regular expressions.\n", + "2. Find and replace text using regular expressions.\n", + "3. Replace matching substrings using parentheses to group expressions `(regex1) (regex2)` and recall them with numerical variables `$1`, `$2`, etc." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Basic character classes\n", + "\n", "\n", - "`a` -- A single character (here 'a').
\n", - "`.` -- Any character except newline." + "### Regular Expression Syntax" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Alternation\n", + "#### Basic character classes\n", "\n", - "`a|b` -- Match first part or second part (here 'a' or 'b')." + "`a` -- A single character (here 'a').
\n", + "`.` -- Any character except newline." ] }, { @@ -118,6 +124,15 @@ " | `{1,3}` | 1, 2 or 3 " ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Alternation\n", + "\n", + "`a|b` -- Match first part or second part (here 'a' or 'b')." + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -126,7 +141,7 @@ "\n", "`(...)` -- Grouping and capture matching substring.
\n", "`\\1`, `\\2` -- Use substring in replacement (sed).
\n", - "`$1`, `$2` -- Use substring in replacement (perl)." + "`$1`, `$2` -- Use substring in replacement (perl, Atom, Sublime Text)." ] }, { @@ -446,21 +461,6 @@ "egrep \"([A-Z][a-z]){3}\" test_regex.txt" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "### Atom or Sublime Text\n", - "\n", - "Your favorite GUI text editor supports regular expressions with live search! \n", - "\n", - "1. Open `test_regex.txt` in Atom or Sublime Text and try searching for regular expressions.\n", - "2. Find and replace text using regular expressions.\n", - "3. Replace matching substrings using parentheses to group expressions `(regex1) (regex2)` and recall them with numerical variables `$1`, `$2`, etc." - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -764,7 +764,7 @@ "source": [ "# Example 3\n", "\n", - "phone = \"2004-959-559 # This is Phone Number\"" + "phone = \"858-959-5559 # This is Phone Number\"" ] }, { @@ -775,7 +775,7 @@ { "data": { "text/plain": [ - "'2004-959-559 '" + "'858-959-5559 '" ] }, "execution_count": 29, @@ -797,7 +797,7 @@ { "data": { "text/plain": [ - "'2004-959-559'" + "'858-959-5559'" ] }, "execution_count": 30, @@ -817,7 +817,7 @@ { "data": { "text/plain": [ - "'2004959559'" + "'8589595559'" ] }, "execution_count": 31, @@ -827,7 +827,7 @@ ], "source": [ "# remove anything other than digits\n", - "num = re.sub(r'\\D', \"\", phone) \n", + "num = re.sub(r'\\D', \"\", num) \n", "num" ] }, @@ -846,7 +846,7 @@ { "data": { "text/plain": [ - "'L001'" + "'L001_R1'" ] }, "execution_count": 32, @@ -856,7 +856,7 @@ ], "source": [ "filename = 'sample_name_L001_R1_001.fastq'\n", - "re.sub(r'.*_(L00[12])_(R[12])_.*.fastq', r'\\1', filename)" + "re.sub(r'.*_(L00[12])_(R[12])_.*.fastq', r'\\1_\\2', filename)" ] }, { @@ -1134,7 +1134,7 @@ { "data": { "text/plain": [ - "['Here', 'Is', 'A', 'String']" + "['Here', 'is', 'a', 'string']" ] }, "execution_count": 45, @@ -1143,8 +1143,8 @@ } ], "source": [ - "regex = re.compile(r'[A-Z][a-z]*')\n", - "string = 'Here Is A String'\n", + "regex = re.compile(r'[A-Za-z][a-z]*')\n", + "string = 'Here is a string.'\n", "words = regex.findall(string)\n", "words" ] @@ -1153,7 +1153,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### Built-in string methods" + "Aside on joining lists..." ] }, { @@ -1164,7 +1164,7 @@ { "data": { "text/plain": [ - "10" + "'Here is a string'" ] }, "execution_count": 46, @@ -1173,7 +1173,7 @@ } ], "source": [ - "string.find('String')" + "' '.join(words)" ] }, { @@ -1184,7 +1184,7 @@ { "data": { "text/plain": [ - "True" + "['23', '45', '23', '22']" ] }, "execution_count": 47, @@ -1193,7 +1193,9 @@ } ], "source": [ - "string.startswith('Here')" + "numbers = [23, 45, 23, 22]\n", + "numbers = [str(x) for x in numbers]\n", + "numbers" ] }, { @@ -1204,7 +1206,7 @@ { "data": { "text/plain": [ - "True" + "'23,45,23,22'" ] }, "execution_count": 48, @@ -1213,7 +1215,14 @@ } ], "source": [ - "string.endswith('g')" + "','.join(numbers)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Built-in string methods" ] }, { @@ -1224,7 +1233,7 @@ { "data": { "text/plain": [ - "True" + "10" ] }, "execution_count": 49, @@ -1233,7 +1242,67 @@ } ], "source": [ - "string.startswith('Is', 5)" + "string.find('string')" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "string.startswith('Here')" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "string.endswith('string.')" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "string.startswith('is', 5)" ] }, { From f271ffeaa4c4bdf38e497d263bce8619f0eb0589 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 30 Oct 2018 17:08:29 -0700 Subject: [PATCH 34/78] fixed typos --- assignments/assignment4.md | 2 +- lessons/lesson10.ipynb | 454 +++++++++++++++++++++---------------- 2 files changed, 256 insertions(+), 200 deletions(-) diff --git a/assignments/assignment4.md b/assignments/assignment4.md index 6d7df4c..d903a99 100644 --- a/assignments/assignment4.md +++ b/assignments/assignment4.md @@ -20,7 +20,7 @@ Complete the tasks below. Please turn in a single Jupyter notebook named `4_firs * Create a two-dimensional list with 3 'rows' and 4 'columns' and a mixture of strings and integers. * Loop through each element of the list and check if each element is a string or an integer. * Save the strings as a dictionary with the index (row, column) as the key and the string as the value. -* Save the integers as a dictionary with the index (row, column) as the key and the string as the value. +* Save the integers as a dictionary with the index (row, column) as the key and the integer as the value. **4.** List comprehension and saving files. diff --git a/lessons/lesson10.ipynb b/lessons/lesson10.ipynb index a7a8581..a89afd4 100644 --- a/lessons/lesson10.ipynb +++ b/lessons/lesson10.ipynb @@ -6,7 +6,7 @@ "source": [ "## Lesson 10 - Numpy, Pandas and Matplotlib Crashcourse\n", "\n", - "Here will introduce Numpy, Pandas and Matplotlib. Numpy is the core numerical computing package in Python, and its core type is ndarray. Pandas uses DataFrames (tables, much like R DataFrames) and Series (columns of a DataFrame) with powerful SQL-like queries. Matplotlib is a package for plotting, which uses a MATLAB-style syntax.\n", + "Here will introduce Numpy, Pandas, and Matplotlib. Numpy is the core numerical computing package in Python, and its core type is ndarray. Pandas uses DataFrames (tables, much like R DataFrames) and Series (columns of a DataFrame) with powerful SQL-like queries. Matplotlib is a package for plotting, which uses a MATLAB-style syntax.\n", "\n", "### Readings\n", "\n", @@ -32,10 +32,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "There are three types of array in Python's basic variables: `list`, `tuple`, and `dict`. \n", - "`list` can be used to store array data. \n", - "\n", - "The standard python library provides [`array`](http://docs.python.org/library/array.html) class that will provide more functions than `list`. \n", + "Today we will work with several new packages and the data types they provide: the Numpy `ndarray` and the Pandas `Series` and `DataFrame`. These data types have many of the properties of `list` but are much more powerful.\n", "\n", "The `numpy` package (module) is used in almost all numerical computation using Python. It is a package that provides high-performance vector, matrix and higher-dimensional data structures for Python. It is implemented in C and Fortran so when calculations are vectorized (formulated with vectors and matrices), performance is very good. \n", "\n", @@ -380,7 +377,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Common type that can be used with `dtype` are: `int`, `float`, `complex`, `bool`, `object`, etc.\n", + "Common types that can be used with `dtype` are: `int`, `float`, `complex`, `bool`, and `object` (string).\n", "\n", "We can also explicitly define the bit size of the data types, for example: `int64`, `int16`, `float128`, `complex128`." ] @@ -402,9 +399,11 @@ { "data": { "text/plain": [ - "array([-5.00000000e-01, -4.00000000e-01, -3.00000000e-01, -2.00000000e-01,\n", - " -1.00000000e-01, -1.11022302e-16, 1.00000000e-01, 2.00000000e-01,\n", - " 3.00000000e-01, 4.00000000e-01])" + "array([-1.00000000e+00, -9.00000000e-01, -8.00000000e-01, -7.00000000e-01,\n", + " -6.00000000e-01, -5.00000000e-01, -4.00000000e-01, -3.00000000e-01,\n", + " -2.00000000e-01, -1.00000000e-01, -2.22044605e-16, 1.00000000e-01,\n", + " 2.00000000e-01, 3.00000000e-01, 4.00000000e-01, 5.00000000e-01,\n", + " 6.00000000e-01, 7.00000000e-01, 8.00000000e-01, 9.00000000e-01])" ] }, "execution_count": 15, @@ -414,7 +413,7 @@ ], "source": [ "# create a range (the end value is not included)\n", - "x = np.arange(-0.5, 0.5, 0.1) # arguments: start, stop, step\n", + "x = np.arange(-1, 1, 0.1) # arguments: start, stop, step\n", "x" ] }, @@ -435,6 +434,7 @@ } ], "source": [ + "# dtype is determined automatically unless specified\n", "x.dtype" ] }, @@ -442,6 +442,50 @@ "cell_type": "code", "execution_count": 17, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# range of integers\n", + "np.arange(0, 10, 1) # arguments: start, stop, step" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0., 1., 2., 3., 4., 5., 6., 7., 8., 9.])" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# specifying dtype as float\n", + "np.arange(0, 10, 1, dtype=float) # arguments: start, stop, step" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, "outputs": [ { "data": { @@ -453,7 +497,7 @@ " 8.33333333, 8.75 , 9.16666667, 9.58333333, 10. ])" ] }, - "execution_count": 17, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -465,7 +509,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -475,7 +519,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -488,7 +532,7 @@ " [4, 4, 4, 4, 4]])" ] }, - "execution_count": 19, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -499,7 +543,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -512,7 +556,7 @@ " [0, 1, 2, 3, 4]])" ] }, - "execution_count": 20, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -523,20 +567,20 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[0.35680677, 0.02840877, 0.72867736, 0.16159907, 0.44469075],\n", - " [0.24009966, 0.81989462, 0.8592401 , 0.3993646 , 0.30377854],\n", - " [0.22722364, 0.19765586, 0.27481477, 0.68241593, 0.18169057],\n", - " [0.02432646, 0.63200567, 0.21140597, 0.94898166, 0.86289505],\n", - " [0.28856095, 0.33198879, 0.94004425, 0.17110496, 0.55798523]])" + "array([[0.21790351, 0.4840567 , 0.39174336, 0.11154024, 0.48962668],\n", + " [0.37272256, 0.95519327, 0.74098321, 0.02237265, 0.1894465 ],\n", + " [0.53066752, 0.02652645, 0.83974895, 0.39797967, 0.05562534],\n", + " [0.0426899 , 0.0469346 , 0.93487514, 0.69308176, 0.42145235],\n", + " [0.40694171, 0.80407228, 0.79593929, 0.44186682, 0.90844878]])" ] }, - "execution_count": 21, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -548,20 +592,20 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[-1.39008688, 1.99102486, 0.76260535, 1.35160466, -1.48029724],\n", - " [-0.66974064, 1.37869926, -2.51814177, 0.65754097, -0.59623496],\n", - " [-1.46103157, 0.78296596, 2.85503094, -0.44920096, 0.98951867],\n", - " [-2.65255117, 1.40335448, -0.65150212, 0.11626776, -0.01676508],\n", - " [ 1.0598403 , 1.01645399, -1.20170219, -1.11820802, 0.55218374]])" + "array([[-0.73573585, -1.28863767, 0.03734684, -0.35298938, 2.16146927],\n", + " [-0.95652825, -0.09480594, 0.26174355, 0.92217501, -0.67126123],\n", + " [ 1.1881133 , 1.00172589, 0.4464382 , 0.88498329, -0.34026905],\n", + " [ 0.92786809, 0.80057993, 0.14597156, 1.080325 , -0.36465814],\n", + " [ 1.21553285, -0.52391958, 1.22672597, 1.03187604, -0.83054119]])" ] }, - "execution_count": 22, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -573,7 +617,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -584,7 +628,7 @@ " [0, 0, 3]])" ] }, - "execution_count": 23, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -596,7 +640,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -607,7 +651,7 @@ " [0., 0., 0.]])" ] }, - "execution_count": 24, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -619,7 +663,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -630,7 +674,7 @@ " [1., 1., 1.]])" ] }, - "execution_count": 25, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -642,7 +686,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -653,7 +697,7 @@ " [1, 1, 1]])" ] }, - "execution_count": 26, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -674,7 +718,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -683,7 +727,7 @@ "1" ] }, - "execution_count": 27, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -695,7 +739,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -704,7 +748,7 @@ "4" ] }, - "execution_count": 28, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -716,7 +760,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -725,7 +769,7 @@ "array([3, 4])" ] }, - "execution_count": 29, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -744,7 +788,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -753,7 +797,7 @@ "array([3, 4])" ] }, - "execution_count": 30, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -764,7 +808,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -773,7 +817,7 @@ "array([2, 4])" ] }, - "execution_count": 31, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -791,7 +835,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -801,7 +845,7 @@ " [ 3, 4]])" ] }, - "execution_count": 32, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -813,7 +857,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -824,7 +868,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -834,7 +878,7 @@ " [ 3, -2]])" ] }, - "execution_count": 34, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -859,7 +903,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -868,7 +912,7 @@ "array([1, 2, 3, 4, 5])" ] }, - "execution_count": 35, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -880,7 +924,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -889,7 +933,7 @@ "array([2, 3])" ] }, - "execution_count": 36, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -907,7 +951,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -916,7 +960,7 @@ "array([ 1, -2, -3, 4, 5])" ] }, - "execution_count": 37, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -935,7 +979,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -944,7 +988,7 @@ "array([ 1, -2, -3, 4, 5])" ] }, - "execution_count": 38, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -955,7 +999,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -964,7 +1008,7 @@ "array([ 1, -3, 5])" ] }, - "execution_count": 39, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -975,7 +1019,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -984,7 +1028,7 @@ "array([ 1, -2, -3])" ] }, - "execution_count": 40, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -995,7 +1039,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -1004,7 +1048,7 @@ "array([4, 5])" ] }, - "execution_count": 41, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -1022,7 +1066,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 44, "metadata": {}, "outputs": [], "source": [ @@ -1031,7 +1075,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -1040,7 +1084,7 @@ "5" ] }, - "execution_count": 43, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -1051,7 +1095,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -1060,7 +1104,7 @@ "array([3, 4, 5])" ] }, - "execution_count": 44, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -1078,7 +1122,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -1091,7 +1135,7 @@ " [40, 41, 42, 43, 44]])" ] }, - "execution_count": 45, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -1103,7 +1147,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -1114,7 +1158,7 @@ " [31, 32, 33]])" ] }, - "execution_count": 46, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -1126,7 +1170,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -1137,7 +1181,7 @@ " [40, 42, 44]])" ] }, - "execution_count": 47, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -1158,7 +1202,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -1169,7 +1213,7 @@ " [30, 31, 32, 33, 34]])" ] }, - "execution_count": 48, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -1181,7 +1225,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 51, "metadata": {}, "outputs": [ { @@ -1190,7 +1234,7 @@ "array([11, 22, 34])" ] }, - "execution_count": 49, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -1209,7 +1253,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -1218,7 +1262,7 @@ "array([0, 1, 2, 3, 4])" ] }, - "execution_count": 50, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -1230,7 +1274,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -1239,7 +1283,7 @@ "array([0, 2])" ] }, - "execution_count": 51, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -1251,7 +1295,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -1260,7 +1304,7 @@ "array([0, 2])" ] }, - "execution_count": 52, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -1280,7 +1324,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -1290,7 +1334,7 @@ " 6.5, 7. , 7.5, 8. , 8.5, 9. , 9.5])" ] }, - "execution_count": 53, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -1302,7 +1346,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -1313,7 +1357,7 @@ " True, False])" ] }, - "execution_count": 54, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -1326,7 +1370,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 57, "metadata": {}, "outputs": [ { @@ -1335,7 +1379,7 @@ "array([5., 6., 7., 8., 9.])" ] }, - "execution_count": 55, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -1355,7 +1399,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -1364,7 +1408,7 @@ "array([0, 1, 2, 3, 4])" ] }, - "execution_count": 56, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -1376,7 +1420,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 59, "metadata": {}, "outputs": [ { @@ -1385,7 +1429,7 @@ "array([0, 2, 4, 6, 8])" ] }, - "execution_count": 57, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } @@ -1396,7 +1440,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -1405,7 +1449,7 @@ "array([2, 3, 4, 5, 6])" ] }, - "execution_count": 58, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } @@ -1416,7 +1460,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -1429,7 +1473,7 @@ " [40, 41, 42, 43, 44]])" ] }, - "execution_count": 59, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } @@ -1440,7 +1484,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -1453,7 +1497,7 @@ " [4300, 4510, 4720, 4930, 5140]])" ] }, - "execution_count": 60, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -1464,7 +1508,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 63, "metadata": {}, "outputs": [ { @@ -1473,7 +1517,7 @@ "array([ 30, 130, 230, 330, 430])" ] }, - "execution_count": 61, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } @@ -1484,7 +1528,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 64, "metadata": {}, "outputs": [ { @@ -1493,7 +1537,7 @@ "30" ] }, - "execution_count": 62, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -1511,7 +1555,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 65, "metadata": {}, "outputs": [], "source": [ @@ -1521,7 +1565,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 66, "metadata": {}, "outputs": [ { @@ -1534,7 +1578,7 @@ " [40, 41, 42, 43, 44]])" ] }, - "execution_count": 64, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } @@ -1545,7 +1589,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -1558,7 +1602,7 @@ " [4]])" ] }, - "execution_count": 65, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -1569,7 +1613,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 68, "metadata": {}, "outputs": [ { @@ -1582,7 +1626,7 @@ " [4300, 4510, 4720, 4930, 5140]])" ] }, - "execution_count": 66, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } @@ -1593,7 +1637,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 69, "metadata": {}, "outputs": [ { @@ -1606,7 +1650,7 @@ " [430]])" ] }, - "execution_count": 67, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } @@ -1624,7 +1668,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 70, "metadata": {}, "outputs": [ { @@ -1633,7 +1677,7 @@ "2.0" ] }, - "execution_count": 68, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -1644,7 +1688,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 71, "metadata": {}, "outputs": [ { @@ -1653,7 +1697,7 @@ "(1.4142135623730951, 2.0)" ] }, - "execution_count": 69, + "execution_count": 71, "metadata": {}, "output_type": "execute_result" } @@ -1664,7 +1708,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 72, "metadata": {}, "outputs": [ { @@ -1673,7 +1717,7 @@ "0" ] }, - "execution_count": 70, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } @@ -1684,7 +1728,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 73, "metadata": {}, "outputs": [ { @@ -1693,7 +1737,7 @@ "4" ] }, - "execution_count": 71, + "execution_count": 73, "metadata": {}, "output_type": "execute_result" } @@ -1704,7 +1748,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 74, "metadata": {}, "outputs": [ { @@ -1713,7 +1757,7 @@ "10" ] }, - "execution_count": 72, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -1731,7 +1775,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 75, "metadata": {}, "outputs": [ { @@ -1753,7 +1797,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -1763,7 +1807,7 @@ " [3, 4]])" ] }, - "execution_count": 74, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } @@ -1775,7 +1819,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 77, "metadata": {}, "outputs": [ { @@ -1800,7 +1844,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 78, "metadata": {}, "outputs": [ { @@ -1827,7 +1871,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 79, "metadata": {}, "outputs": [ { @@ -1837,7 +1881,7 @@ " [ 9, 16]])" ] }, - "execution_count": 77, + "execution_count": 79, "metadata": {}, "output_type": "execute_result" } @@ -1881,7 +1925,7 @@ "source": [ "#### Download data\n", "\n", - "I copied data from http://www.sccoos.org/data/autoshorestations/autoshorestations.php?study=Scripps%20Pier and pasted it into Excel, then saved it as a CSV file. You can download [scripps_pier_20151110.csv](https://raw.githubusercontent.com/cuttlefishh/python-for-data-analysis/master/data/scripps_pier_20151110.csv) from GitHub." + "I copied data from http://www.sccoos.org/data/autoshorestations/autoshorestations.php?study=Scripps%20Pier and pasted it into Excel, then saved it as a CSV file. Download [scripps_pier_20151110.csv](https://raw.githubusercontent.com/cuttlefishh/python-for-data-analysis/master/data/scripps_pier_20151110.csv) from GitHub and save it to a directory called `data` at the same level as `lessons`." ] }, { @@ -1895,7 +1939,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Install pandas and matplotlib using if you haven't already:\n", + "Install pandas and matplotlib using if you haven't already. If you're not sure, you can type `conda list` at a terminal prompt.\n", "\n", "```\n", "conda install pandas\n", @@ -1912,7 +1956,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 80, "metadata": {}, "outputs": [], "source": [ @@ -1930,16 +1974,16 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 81, "metadata": {}, "outputs": [], "source": [ - "data1 = pd.read_csv('scripps_pier_20151110.csv', index_col=None, header=0)" + "data1 = pd.read_csv('../data/scripps_pier_20151110.csv', index_col=None, header=0)" ] }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 82, "metadata": { "scrolled": true }, @@ -2026,7 +2070,7 @@ "4 11/10/15 1:17 22.316 3.471 33.199 19.95" ] }, - "execution_count": 80, + "execution_count": 82, "metadata": {}, "output_type": "execute_result" } @@ -2037,16 +2081,16 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 83, "metadata": {}, "outputs": [], "source": [ - "data2 = pd.read_csv('scripps_pier_20151110.csv', index_col=0, header=0)" + "data2 = pd.read_csv('../data/scripps_pier_20151110.csv', index_col=0, header=0)" ] }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 84, "metadata": { "scrolled": false }, @@ -2135,7 +2179,7 @@ "11/10/15 1:17 22.316 3.471 33.199 19.95" ] }, - "execution_count": 82, + "execution_count": 84, "metadata": {}, "output_type": "execute_result" } @@ -2146,7 +2190,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 85, "metadata": {}, "outputs": [ { @@ -2249,7 +2293,7 @@ "max 22.426000 3.712000 33.206000 20.19000" ] }, - "execution_count": 83, + "execution_count": 85, "metadata": {}, "output_type": "execute_result" } @@ -2279,7 +2323,7 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 86, "metadata": { "scrolled": true }, @@ -2294,7 +2338,7 @@ "Name: 11/10/15 1:42, dtype: float64" ] }, - "execution_count": 84, + "execution_count": 86, "metadata": {}, "output_type": "execute_result" } @@ -2305,7 +2349,7 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 87, "metadata": { "scrolled": false }, @@ -2327,7 +2371,7 @@ "Name: temp (C), dtype: float64" ] }, - "execution_count": 85, + "execution_count": 87, "metadata": {}, "output_type": "execute_result" } @@ -2345,7 +2389,7 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 88, "metadata": { "scrolled": true }, @@ -2361,7 +2405,7 @@ "Name: 0, dtype: object" ] }, - "execution_count": 86, + "execution_count": 88, "metadata": {}, "output_type": "execute_result" } @@ -2372,7 +2416,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 89, "metadata": {}, "outputs": [ { @@ -2386,7 +2430,7 @@ "Name: 0, dtype: object" ] }, - "execution_count": 87, + "execution_count": 89, "metadata": {}, "output_type": "execute_result" } @@ -2397,7 +2441,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 90, "metadata": { "scrolled": false }, @@ -2413,7 +2457,7 @@ "Name: Date, dtype: object" ] }, - "execution_count": 88, + "execution_count": 90, "metadata": {}, "output_type": "execute_result" } @@ -2424,7 +2468,7 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 91, "metadata": {}, "outputs": [ { @@ -2438,7 +2482,7 @@ "Name: Date, dtype: object" ] }, - "execution_count": 89, + "execution_count": 91, "metadata": {}, "output_type": "execute_result" } @@ -2449,7 +2493,7 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 92, "metadata": {}, "outputs": [ { @@ -2463,7 +2507,7 @@ "Name: Date, dtype: object" ] }, - "execution_count": 90, + "execution_count": 92, "metadata": {}, "output_type": "execute_result" } @@ -2481,7 +2525,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 93, "metadata": { "scrolled": true }, @@ -2497,7 +2541,7 @@ "Name: Date, dtype: datetime64[ns]" ] }, - "execution_count": 91, + "execution_count": 93, "metadata": {}, "output_type": "execute_result" } @@ -2509,7 +2553,7 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 94, "metadata": { "scrolled": true }, @@ -2520,7 +2564,7 @@ "pandas.core.series.Series" ] }, - "execution_count": 92, + "execution_count": 94, "metadata": {}, "output_type": "execute_result" } @@ -2547,19 +2591,21 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 95, "metadata": { "scrolled": true }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -2580,7 +2626,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 96, "metadata": {}, "outputs": [], "source": [ @@ -2590,7 +2636,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 97, "metadata": {}, "outputs": [ { @@ -2675,7 +2721,7 @@ "4 11/10/15 1:17 22.316 3.471 33.199 19.95" ] }, - "execution_count": 95, + "execution_count": 97, "metadata": {}, "output_type": "execute_result" } @@ -2686,7 +2732,7 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 98, "metadata": {}, "outputs": [ { @@ -2695,7 +2741,7 @@ "Index(['Date', 'Chlorophyll', 'Pressure', 'Salinity', 'Temperature'], dtype='object')" ] }, - "execution_count": 96, + "execution_count": 98, "metadata": {}, "output_type": "execute_result" } @@ -2706,49 +2752,57 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 99, "metadata": { "scrolled": false }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", 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8WQT7+/Fre++l6VQ35Q2nWKAr873iTHdFLseWYHxS3zYwuRVN7CltAGBFmuOei8Ui3HPhbA6daGFLYY3HYlRKjW5jbhUFVc3cf9lcAvwsTAsP4ta1qbywr4KSujYOVWkx35ucrbn8UkR+YX88BrwL7HdvaO4TGxZIUnQIuRVN7C1tJCEiiMSokQ8Qu2Z5IknRIfxm6zEPRqmUGklPr5VH3zzMvOkRfHhZYv/1uy7IIMDPwq+3HqVAk4tXOXsSZc6A5z3As8aY99wQj8csTookr7IZYwxZqdGMtoQnwM/CXetm8e3/5LOrpJ5V6bEejFQpNdS/9lRQVNfGE7etxG/AyvuEiGBuWZ3KX7YfpyLjFNPCAomPCPJipFOXszWXp/oewCtAy1j3THSLE6Mormuj5GT7oMWTI/noqlRiwwK196KUl3X29PKzTYdZlhLNZQunD3v9sxdmYBHhvaMn7SfQ+vzab5/k7LDYVhGJFJFYbMNhfxSRn7o3NPdanHx6BskKJ5JLSKAfnz43nbcO1fR3t5VSntPU3s3TH5Rw3a/ep7Kpgwcun+cwccyMCuGm7GQAXZnvRc4W9KOMMc3A9cAfjTErgfWj3SAiwSKyU0T2i0ieiHzHQZv7RSRfRA6IyGYRSRv/X+HMLLZPT/SzSP/ssbHcfk46YYF+/PZt7b0o5Sm7Sur5wrN7WfWDTXzzxTwM8KMblnDenGkj3vO5i2YTFx7IeXPiPBeoGsTZmou/iMwEbga+5uQ9ncAlxphWEQkAtonIq8aY7QPa7AWyjTHtIvI54GHgo84GfzbiI4KYERlMXEQgIYHOLbCKCg3g42tSeXJbMV+6bB6p00LdHKVSU1vpyXY+9sR2woP8uWVVCjdlp/TP9hxNckwou762XofEvMjZ5PJdbMccbzPG7BKRDODIaDcY26KQvtVMAfaHGdJmy4APtwO3OhmPS3zrwwsJC3L2LbC5c10GT71/nHv/tpfPXTibSxckEOB3pjO6lVKjeSP/BL1Ww0v/fR5p08LGda8mFu9y6ierMeYf2Dau7Pu4CLhhrPtExA/YDcwBfmWM2TFK8zuAV52Jx1WuXDJz3PdMjwzm+9ct5qdvHOaev+wmISKIm7NT+OiqFFJitSejlCttKqhm3vSIcScW5X3OFvQfthf0A+y1kToRGbOXYYzpNcYsB5KB1SLicOGl/XNlA4+M8PrdIpIjIjm1tbXOhOxWN2ensO0rF/P727NZnBTFr7ce5YJHtnDnUzm0dPjsUTdKTSiN7V3sKmlg/cIEb4eizoCz4zmX2wv6V2NbnT8X2z5jTjHGNAJbgQ1DXxOR9djqONcYYzpHuP8JY0y2MSY7Pj7e2S/rVv5+FtYvnM4fPrWKd79yCfdePIcthTX87/MHdJsYpVxga2EtvVbD+gXDpxuric/Z5BJg//ND2BZQ1o91g4jEi0i0/XkIttllh4a0yQIex5ZYfHZvlaToEO6/fB4PbpjPqwdP8Pg7Rd4OSSmf92ZBNfERQSxLdrzvn5rYnE0u/xGRQ9iGrjaLSDzQMcY9M4EtInIA2AW8aYx5WUS+KyLX2Ns8AoQD/xCRfSLy0hn8HSaMO9fN4qqlM3n4tUO8d7TO2+Eo5bO6eqy8XVjL+gUJWCxamPdFzhb0HxSRHwHNxpheEWkHrh3jngNAloPr3xzwfNS1Mr5GRHj4hqUUnmjh3mf38vK955MYHeLtsJTyOduLTtLa2aNDYj7M2YJ+KPB54Df2S4nYejFqiLAgfx6/bSVdPVY+99c9dPb0ejskpXzOpoJqggMsugjShzk7LPZHoAs41/5xOfB9t0Q0CcyOD+fHNy1jf1kjP3q10NvhKOVTjDFsyq9mXWa8niDpw5xNLrONMQ8D3QDGmFOADoSOYsPiGVy5eAavHRz9BMttR+q47Kdv09rZ46HIlJrY8quaqWzq4DIdEvNpziaXLvuMLwMgIrOxbe+iRrE8JZrKpg4a2rpGbLOpoJojNa3sLD7pwciUmrg25dcgApcs0PUtvszZ5PIt4DUgRUT+CmwG/tdtUU0Si+ybY+aPsovywYomALYXjTm7W6kpYVNBNStSY4gL13NYfNmYyUVsG/QcwrYj8qeAZ7FtNrnVrZFNAgsTbdt951c6Ti69VtOfeLYXac9FqaqmU+RWNOkssUlgzKnIxhgjIi/Yt9nf6IGYJo3YsEBmRgWTV9nk8PXiulbau3pJiQ3hYEUTzR3dRAYHOGyr1FSwqcC2lvoy3fLF5zk7LLZdRFa5NZJJauHMyBGHxQ5W2K5/5rxZWA3klOjQmJra3iqoJn1aKLPjw70dijpLziaXi7ElmGP2g71y7Svv1RgWJUZyrLaNju7h610OVjQR5G/hpuwUAv0sWndRU5oxhn1ljayZNU23y58EnD3M5Eq3RjGJLUyMotdqOHSiheUpg/dIOljZxIKZkYQH+bM8NVrrLmpKK284RUN7N0uSnTsZVk1so/Zc7EcVfxHbDsgbgApjzPG+h0ci9HGLRijqW62GvIpmFifZXl+bMa2/7qKUr/vdO0U8+ubhcd2Ta585uVSTy6Qw1rDYU9i2ecnF1nv5idsjmmSSY0KICPYfVtQvrW+npbOHxfbpymszYrXuoiaN53eX8+S2Yrp7rU7fc6C8iQA/Yd6MCDdGpjxlrOSy0BhzqzHmceBGYJ0HYppURMRhUf+gPdn0nQe+IjVG6y5qUui1GopPttHa2cO+skan78utaGT+jEiC/HXLl8lgrOTSP0ZjjNH9Sc7QosQoDlW10Gs9fYjYwYpmAvyEudNtv6UFB/hp3UVNCpWNp+jqsfVY3j3s3MmxxhgOlDdpvWUSGSu5LBORZvujBVja91xERl52rgZZmBjJqe5eiuva+q/lVTYxb0YEgf6n/wm07qImgyL793lIgB/vOnmu0fGT7bR09LA0SZPLZDFqcjHG+BljIu2PCGOM/4DnkZ4K0tf1FfX76i7GGA5WNPXXW/po3UVNBkW1rQB8JCuJ/WWNNJ0a+5elAxWDh4mV73N2nYs6C3MSwgn0s/TXXSqbOmho72bRkP9IK1JjCPTXuovybcV1bUQE+/OR5YlYDXxwbOyh3tzyRgL9Lf3DxMr3aXLxgAA/C3NnhPdPR84tt/+Wlji48xcc4EdWitZdlG8rqm0jIy6MFWkxhAX6se3o2HWXA+W2NV8Dh4mVb9N/SQ9ZODOSvMpmjDHkVTbhZxEWzBw+sqh1F+XrimpbyYgPJ8DPwtqMabx7ZPS6i9VqGybWesvkosnFQxYlRlHf1kV1cycHK5rITAh3eMre2oxpWndRPutUVy+VTR1kxIUBcH5mHMdPtlNW3z7iPUV1bbR19epMsUlGk4uHLBxQ1D9Y2dx/1stQWanRWndRPqtvRuSseFtyWZcZBzBq7yW3wrYWRlfmTy6aXDykbwhsa2EttS2d/du+DBUc4MfylGh2jFF3OdHUwZ8/KMEYM2o7pTypqM42Uywjzrar8ez4cGZGBY9ad8ktbyY4wMIc3Ql5UtHk4iHhQf6kTwvlhX0VwOhTLrPTYsirbOZU1/CdlPv86f0SvvFiHnkjHESmlDcU19p6LulxoYBth4rz58Tx3tGTgxYRD5Rb0ciixCj8/fTH0WSi/5oetCgxipaOHkRsBf6RrEyLocdqOFA+8tYZfTWZzfbDlZSaCIrq2kiMCiY08PSG6+dnxtF0qrt/Y8qBeq2GgxXNLNFi/qSjycWD+uouGXFhhAWNfNpBVmoMALtLGxy+3tHdywH7dObNh6pdHKVSZ66orq2/3tLnvDm2usu2I8OHxo7VtnKqu1frLZOQJhcP6ksuY61Cjg0LJCM+jD3HHSeX3IomunqtZKVGc6C8iermDpfHqtR4GWNs05DjBtdO4sKDWJQY6bCo3/dLkiaXyUeTiwctTozC3yJkDTk0zJGVqTHsKW10WLDfWWwbEvvKhvmADo2piaGutYuWjh4yhvRcwDY0tqe0gbbOwfvf5pY3Ehbox6w4LeZPNppcPCg+IojXvriOj69JG7PtyrQY6tu6KDk5fH1ATkk9mQnhrJkVS3JMCJsLdGhMeV//NOS44cll3Zx4unsNL+6rHHT9QEUTixKj8LPoscaTjSYXD5uTEOHUFhcr0+x1lyFDY1arIed4A9npsYgI6xdMZ9vRulFnlinlCX0bVs52MKU4Oz2GedMj+H//zuW2J3eQX9lMd6+V/MpmXTw5SWlymaBmx4cTGew/LLkcrmmhpaOHVem25HPpggQ6e6y85+TW5kq5S3FdG4H+FhKjQ4a9Fhzgx0v3nsc3rl5IbkUTV/3yXe5+OofOHqvWWyYpTS4TlMUirEiLGVbU31Vi+3hVeiwAa2ZNIzzIX2eNqbNmtZr+Q75GU1LX5rDdsdo20qeFjjjEFeTvxx3nz+LtL1/MXesyeO+obaHw0uSxa5DK94w8H/YsiUgw8A4QZP86zxtjvjWkTRDwNLASOAl81BhT4q6YfM2K1BgePXyYplPdRIUEALCruJ4ZkcEkx9h+Owz0t3Dh3Hg2FdTwkNVg0bFr5QRjDD96rZCDFU3UtXZysq2LhrYu/P2E//z3+WSOsPV94YkWPvSLd/nsBRn8r31CSZ+iulbmJoy9ZX5UaAD/70MLuG1tGodOtDis0Sjf586eSydwiTFmGbAc2CAia4e0uQNoMMbMAR4FfuTGeHzOyrQYjGHQOeQ5JfVkp8cgcjqJXLoggdqWToeL1JRypLq5k9++fYzKxlMkx4Ry6fwE7r4ggwA/C9/bWDDitkI/eKWAXqvhz9uP0zpg5ldPr5XSk+3D1riMJiU2lMsWTj/rv4uamNyWXIxNq/3DAPtj6HfstcBT9ufPA5fKwJ+aU9yylGgscrqoX9F4isqmjv4hsT4Xz0vAIuisMeW0wuoWAH5w/RJ+/8lsfnjDUv53w3zuuzSTdw7XsqVw+PT2tw/X8vbhWq5dnkhLRw/P7Srrf62s4RQ9VtO/G7JSbq25iIifiOwDaoA3jTE7hjRJAsoAjDE9QBMwzcHnuVtEckQkp7Z27IOHJovwIH/mz4jsr7v0bfmSbS/m94kJC2RlWgybdL2LctLhE7bkMvTkx9vPSScjLozvv1wwqK7SazX8YGMBadNCefjGpaxOj+XJbcX09NraFPdtWDmOnoua3NyaXIwxvcaY5UAysFpEFg9p4qiXMqw/box5whiTbYzJjo+Pd0eoE9bKtBj2ljbQazXsLK4nwp5whlq/YDr5Vc1UNp7yQpTK1xRWtxAfEURsWOCg64H+Fr5+9QKK6tp4+oOS/uvP5ZRRWN3CgxvmE+Tvx10XZFDReIpXD54AbKdPAsNW56upyyOzxYwxjcBWYMOQl8qBFAAR8QeiAD3IZICVaTG0dfVSeKKFnJIGVqTFOJyNc+kC29i1Do0pZxSeaGH+DMfF94vnJbAuM46fbz7CydZOWjt7+MkbhaxKj2HD4hkAXDo/gYy4MJ54pwhjDMdq24gJDSBmSLJSU5fbkouIxItItP15CLAeODSk2UvAJ+3PbwTeMnpAySB9iym3FNZQWN3Sv75lqNnxYWTEhfGzTUf443vFdHTrokrlWK/VcKSmZdiQWB8R4ZtXL6S9q5dHNx3mt1uPUdfaxdevWtg/kcRiEe5YN4vciiZ2FNdTXNeqs77UIO7sucwEtojIAWAXtprLyyLyXRG5xt7mSWCaiBwF7gcedGM8Pik5JoT4iCD+9H4JANlDivl9RIRffjyLzOnhfOc/+Vz0yFb+vP24U+sW1NRSVt9OR7eVeSMkF4DM6RHcuiaVZ3aU8sS7RVy7PJFlQ/bEu2FFMrFhgfzunSKKatvI0MO+1ADunC12wBiTZYxZaoxZbIz5rv36N40xL9mfdxhjbjLGzDHGrDbGFLkrHl8lIqxIjaa2pZMAP2HZKAvOFiVG8be7z+GZO9eQFBPCN144yMU/3sph+8wgpeD0TLG5IwyL9fni+rlEBAcgMGxNC9hW3d9+ThqbD9VQ09KpPRc1iK7Q9wF9Q2OLk6IICfQbs/25c+J4/p5zePozq2nt7OGR1wvdHaLyIYX9M8VG72nEhAXyh09l8/htK0lysKULwG1r0wiy75U3W2eKqQE0ufiAvuQydH3LaESEC+bG86lz03lOpQhJAAAXuUlEQVQzv5oj2ntRdoXVLaTGhg46LXIkK9NiuWhewoivTwsP4oaVyQA6LKYG0eTiA5YmR3PL6hRuzk4e972fOjedkAA/fvP2MTdEpnzR4RMjF/PPxJcum8t3r11EZoImF3WaJhcfEOBn4f+uX8ocJ/ZtGiomLJBbVqfy0r5KyhuGnw2jppbOnl6K6tqYN8N1iWBaeBC3n5OObq6hBtLkMgXcuW4WIvD7d4u9HYrysqLaNnqthnkOFuIq5UqaXKaAxOgQPrI8ib/tKuVka6e3w1Fe1DdzcLRpyEq5giaXKeKzF86ms8fav15GTU2FJ1rwt4hOG1Zup8llipiTEM4VC2fw1Pslg7ZKV1NL4YkWMuLDnDpqW6mzod9hU8jnLppNc0cPz+w47u1QlJcUVrdovUV5hCaXKWRZSjTnzZnG79/VvcemotbOHsobTjFvjMWTSrmCJpcp5t5LMqlp6Ry0nbozunqsOpXZx/UV8125xkWpkWhymWLWZkzjwrnx/GrLMZpOdTt93xPvHOOyn76j9Rof1ndAmKPzgJRyNU0uU9ADV8yj6VQ3j49j1f47h+s41d3L3tIGN0am3KmwuoWQAD+SYxzvE6aUK2lymYIWJ0VxzbJE/vBeMTXNHWO27+juZV9ZIwC7SjS5+KrD1S3MnR6OxcFhc0q5miaXKepLl8+lp9fw881Hxmy7t7SRrl4r/hZhV7EeFOqrCl28p5hSo9HkMkWlTQvj42tS+duuMorr2kZtu73oJBaBa5cnsbesge5ePYDM19S1dlLX2sW8Mc5wUcpVNLlMYfdekkmQv4UfvzH6eS87ik+yKDGKS+Yn0NFtJa+y2UMRKlfp3/ZFk4vyEE0uU1h8RBB3nj+LjQeqyC1vctimo7uXvaWNrJkVy6p027kyOSU6NOZr+maK6Z5iylM0uUxxd12QQWxYID/bdNjh6/vLGunssbImYxoJkcGkTQtllyaXs/bWoWqeeMdzZ+wUVrcQHRpAfESQx76mmto0uUxxEcEBfGJNKlsKa6hoPDXs9R3F9YjAavspmNlpseSUNGCM8XSok8qT24r58euHXbJTQm55E+1dI68/sloNWw7VsjI1Rs9cUR6jyUVxc3YKBnhuV9mw17YXnWTBjEiiQgMAWJUew8m2LorGmASgRmaMIa+yma5eK7kVjocjndHe1cNXnj/Ahx/bxvc3FozYbnvxSU40d3BtVtIZfy2lxkuTiyIlNpQLMuN5LqeMngEzwbp6rOwpbWBNRmz/tWx7D0brLmeusqmDxnbb7gg5Z7hu6GBFE1f/chvP7S4jbVooL+6tGHH3hBf3VhIW6MdlC6afccxKjZcmFwXALatTqWrq4O3Dtf3XDpQ30tFtZW3GtP5rs+PDiA0L1MWUZyHP3lsJ8JNxJ2mr1fD7d4u4/tfv09bZw1/vWMNPb15OW1cv/9lfOax9R3cvrxys4opFMwgJ9HNJ/Eo5Q5OLAuDSBQnERwTx7M7S/mvbi04Cp+stACJCdlqM9lzOQl5lMyJw5eKZ5BxvwGp1vn71yBuFfH9jARfMjefV+y7g3DlxrEiNZt70iEH/dn22FtbQ0tGjQ2LK4zS5KAAC/CzcnJ3MW4dqqGqyFfZ3FNczf0YEMWGBg9quSo+l5GQ7NS1jbx2jhsurbCYjLox1mXE0nermWG2rU/cZY/j3ngoumZ/A725fSaz930VEuGV1CgfKmzg4pIbzwt5K4sKDOG/2NEefUim30eSi+n1sVSpWA8/tKqe710pOScOgIbE+2f3rXXRo7EzkVzaxKDGKVfYeobNDjIdOtHCiuYMNi2YMm/V1XVYyQf6WQb2XpvZu3jpUw4eXzcTfT/+rK8/S7zjVLyU2lHWZcfx9Vyn7yho51d3Lmlmxw9otSowiOMDi1vUuXT3WSdkzamjrorKpg0WJkaRNCyUuPJCc4869j1sKawC4cF78sNeiQgO4aulMXtxXSZu9sP/qwSq6eq18ZLkOiSnP0+SiBvn46lQqmzp45DXbljCrHSSXQH8LWSkxbu25PPbWEVY/tJm7ns5hzyTa5r9v65xFiVH2+lWs0+/j1sJaFs6MZHpksMPXP746ldbOHl4+YCvsv7CvgllxYSxNjnJN8EqNgyYXNcj6hdOJCw9iZ0k9c6eHMy3c8YruVekx5FU2ue3wsLcP1zI9MoidxfVc/+v3+ejjH7ClsMbnF2/mVdpqIosSbQd2ZafHUFrfPubRB80d3ew+3sBFDnotfVamxZCZEM4zO8uoajrFjuJ6PrI8SRdOKq/Q5KIGCfCzcFN2MgBrZo1cBM5Oj8VqcMvhYa2dPRysbObm7BTef/ASvn7VAkrr2/n0H3fx6KaxjwiYyPIqm0mMCu6fJNG/buj46O/jtiN19FoNF81LGLGNiPDxNansL2vkR68ewhi4dnmi64JXahzcllxEJEVEtohIgYjkich9DtpEich/RGS/vc2n3RWPct7HV6cSHuTP5YtGXnSXlRqNReCNvGq6ely7Bf+e4w30Wg2rZ8USFuTPnesyePuBi1mVHsOb+dUu/VquZozhyW3F/T2UofIqm1iYeHqYalFipFP1q62FNUQE+7MiNXrUdtdlJRHkb+GFfZUsT4kmPS5s/H8JpVzAnT2XHuBLxpgFwFrg8yKycEibzwP5xphlwEXAT0QkEOVVKbGh5H77ctZljjwEExEcwAVz4/nz9uOsemgTX3n+AO8eqR20wv9M7Syux88irEiN6b8W6G/hnNlxFJ5odttQnCv8bVcZ33s5n+/8J3/Ya+1dPRTVtfUPiYGtp7g8JZrdo/RcjDFsLazlgsz4MWd9RYcGctWSmQB8RHstyovcllyMMVXGmD325y1AATB02ooBIsQ2KBwO1GNLSsrLnBmnf+K2bJ78ZDaXzE9gY24Vtz25k7X/99aI2/c7a2dxPYuToggL8h90PSs1Gqux7RwwER2rbeW7/8knLNCPncX1HD85eP+1gqoWjGFQcgHbuqG8yub+WV5D5Vc1U9PSOWq9ZaC7L8zgnIxpXKuzxJQXeaTmIiLpQBawY8hLjwELgEogF7jPGKPHHPqIQH8Lly6YzqMfXU7O19fz+G0rAcP3N+afceG9o7uXfWWNDqdAZ6XYhoT2lo4vuWw7UkfpyfYzisdZXT1W7vvbXoIDLDxz11osAs/vLh/UJr+vmJ80ePbWyrQYeq2GfWWO/15bC21b8jiaguzI/BmRPHv32mGLX5XyJLcnFxEJB/4JfNEYM/QIwyuAfUAisBx4TEQih7RBRO4WkRwRyamtrR36spoAggP8uGLRDO69JJMdxfVsO1p3Rp9nf1kjXb3WQVvO9IkODSQjPmxcySWnpJ7b/7CDT/1xJ509Z7e9/ZHqFh785wGHW9/85M1CDlY088MblrIsJZp1mfH8c3c5vQO2dsmrbCY6NIDEqMFTiVekxSAy8qLUrYU1LE6KJCHC8RRkpSYityYXEQnAllj+aoz5l4Mmnwb+ZWyOAsXA/KGNjDFPGGOyjTHZ8fHO/famvONjq1NIig7hkdcLz6j3stN+fswqB8kFICslhr2lzp0n09rZw/3P7ScqJICiujZ+u7Vo3PH0eWFvBdc89h5/21XGjb/9gHv+vJti+7ED7x+t44l3irhldSpXLJoBwE3ZyVQ2dfD+sdNJNq+ymUWJkcOGHCODA5g/I9LhYsqm9m72lDZy0dyRZ4kpNRG5c7aYAE8CBcaYn47QrBS41N5+OjAPOPOfAMrrgvz9uG99JgfKm3g9b/wzu3aW1DNvekT/+TFDZaVGc7Kti7L64QebDfXQxnzKGtp5/LZsrlo6k19tPdqfEJzV0d3L1/6dyxf/vo8lSVFs/fJF3H/ZXN45UstlP32bb754kP95bh+z4sL4xtUL+u9bv2A6USEB/CPHNjTW3Wul8EQLixIdL2jMTothz/GGYRMi3j1aa5+CrL9UKd/izp7LecBtwCUiss/++JCI3CMi99jbfA84V0Rygc3AV4wxZzaeoiaM67OSyIgP4ydvFA4aFhpLd6+V3ccbHNZb+vTNINtbNvq6kM0F1Ty7s4y7L8hg9axYvnn1QoL8LHzzxYNO96jK6tu56bcf8Ncdpdxz4WyeuWsN6XFhfOHSTLY+cBE3r0rhL9uPU9/WxS8+lkVo4OkJCMEBfly7PJHX8k7Q1N7N0ZpWunqtw4r5fbLTY2jr6uWQ/az7PlsLa4kKCWB5yuhTkJWaaPzHbnJmjDHbgFGnHBljKoHL3RWD8g5/Pwtfumwen39mDy/tr+C6rGSn7surbKa9q5fVoyzenDs9nNBAP/aWNo44G+pkaydf+Wcu82dEcP9lcwGYHhnMl6+Yx7deyuOl/ZUO723p6GZXST0fHDvJB0UnyatsJjzIn9/dns1lCwev+UmICOYH1y3hjvNn0XSqm8VJw3skN61M4ekPjvPSgUpCAmxnqYycXGwJ9SdvFHLV0kSWp0QxKy6ctw/Xsi4zTjeeVD7HbclFTW1XLp7BosRIHn3zCFctSSTQf+wfjjvs58esmhUzYht/PwtLk6NG3G/MGMPX/n2Q5lPd/PmO1QT5nz4g69a1afxzTznfe7mAi+YlEBUSgNVqePtILU+9X8K79lXwgX4WslKjue/STG5cmUxyTOiI8cyODx/xtcVJkcyfEcHzOWWsSIshJMCPWXGO2ydFh3B9VhJv5FezxT47LCzQj7auXi4eZVW+UhOVJhflFhaL8OXL5/HpP+3iuZwybl2bNuY9O4vryYgLG3NW1IrUGJ54p4iO7l6CAwafrvjS/kpeyzvBg1fOZ8HMwb0EP4vwg+uWcM1j23hoYz7zZ0Ty5+3HKa5rIz4iiLsvyGDdnDhWpMUM+7xnQkS4KTuF772cT21LJ/NnRuBnGbkz/9OPLqfXaiiqbWVvWSP7yxqpaelk/UI9nlj5Hk0uym0umhdPdloMP3mjkLjwQK5wcA5Jn16rYWdJff/q8tFkpcbQYzUcrGjqH07q+xyPvnmYRYmR3LUuw+G9i5Oi+OS56fzxvRIAVqRG88WPLefKxTOd6l2N10eWJ/J/rxRQ2dTBJQvG7oH4WYTM6RFkTo/g5uwUl8ejlKdoclFuIyL88IYl/Pcze7nnL3tYlxnHt69Z5HAoqfBECy0dPQ63+B8qK/X0YsqByeXVg1WUnGznN59YMWoP4cuXzyM+Ioh1c+JZ4ubt6KeFB3HpggRez6secaaYUpORVgmVW81JiODle8/n2x9eyL6yRjb87B3+79WCYfuD7Sy21VucSS5x4UGkxoYOqrsYY/j1lmNkxIf1rzUZSViQP/910Ry3J5Y+t65Nw88iZKeNXEtSarLR5KLczt/PwqfOm8VbX7qIjyxP4vG3izjvh2/x0zcPU9/WBdjWtyRFh4xaPB8oKzV60Er9d47UkV/VzD0XzMYySq/FG9ZlxrP/W5eTOT3C26Eo5TGaXJTHxEcE8chNy3jx8+exelYsv9h8hHN/uJlvv5THjqJ6p3otfbJSojnR3EFVk20x5a+3HGVGZDAfyZqYmzWGB+kItJpa9DteedyylGh+d3s2R6pbePydIv6y/Tg99vNbnLXCPsS0t7SRysgOdhTX8/WrFrilKK+UGj9NLsprMqdH8OOblnH/ZXPZXFDNdePodcyfEUmQv4U9xxsoOdlOdGgAt6xOdWO0Sqnx0OSivC4xOoTbzkkf1z2B/haWJEXxSm4VlU0d3Hdp5rDzX5RS3qNjCMpnZaVGU9nUQUiAH586N93b4SilBtDkonxW3yaWt6xO1YOxlJpgNLkon3XhvHg+c94s/uvi2d4ORSk1hA5SK58VGujPNz+80NthKKUc0J6LUkopl9PkopRSyuU0uSillHI5TS5KKaVcTpOLUkopl9PkopRSyuU0uSillHI5TS5KKaVcTowx3o5hXESkFjg+SpM4oM5D4biSr8YNvhu7r8YNvhu7r8YNvh97mDEm3lNf0OeSy1hEJMcYk+3tOMbLV+MG343dV+MG343dV+MGjX28dFhMKaWUy2lyUUop5XKTMbk84e0AzpCvxg2+G7uvxg2+G7uvxg0a+7hMupqLUkop75uMPRellFLeZozxygP4A1ADHBxy/SYgD7AC2aPcHwu8CRyx/xljvx4D/Bs4AOwEFo9w/0NAGdA65HoasNl+/1YgeSLFDoQCG4FD9q/1wwGvBQF/B44CO4B0H4n7AmAP0APcONG+X8aI/X4g337/ZiDNR+K+B8gF9gHbgIVueM9HbAd81f59WghcMcL9K+0xHgV+wemRFofviY/EPurXn8BxP2L/Pjpg/76LHimG/s81VgN3PbD9QFnh4E1cAMzD9oN9tDfxYeBB+/MHgR8NeBO+ZX8+H9g8wv1rgZkMTy7/AD5pf34J8OeJFDu2HxgX258HAu8CV9o//i/gt/bnHwP+7iNxpwNLgacZOblM1NgvBkLtzz/nQ+955IB21wCvueE9d9gOWAjsx/bL0CzgGODn4P6dwDmAAK8OiN3he+IjsY/69Sdw3JcD/vbnP3L0ng/7XGM1cOcD2w+VgyO8NtabWAjMtD+fCRTan28Ezh/Q7hgwfZTPMzS55GHvrdjf4OaJGru9zc+Bu+zPXwfOsT/3x7bgSyZ63AOu/YkRkstEj91+PQt4zwfjvgV41dXv+UjtsP0G/dUBH/d/3w64NhM4NCTGx0d7T3whdme+/kSO2379OuCvY8XgyzWX6caYKgD7nwn26/uB6wFEZDW2Ya7kcXze/cAN9ufXAREiMs0lEZ/mkthFJBr4MLbhGIAkbEN9GGN6gCbAlbG7K25P8ETsd2D7bc+V3Ba3iHxeRI5h6wl8wcVxj6b/+9Su3H5taJvyEdqM9J54wtnG7i2ujPszOPF97svJZSQ/BGJEZB9wL7AX21i+s74MXCgie4ELgYpx3n82nI5dRPyBZ4FfGGOK+i47aGrcEegQZxu3N7kkdhG5FcjGNlzlCWcdtzHmV8aY2cBXgK+7P+TTITm4NvT71Fvfy2Px1dhdEreIfA3b99lfx/qC/k6H5mUi8kdsww6VxpgPAdUiMtMYUyUiM7EVwTDGNAOftt8jQLH94RRjTCWnfyMMB24wxjRNwNifAI4YY3424Fo5kAKU23+gRAH1PhC3y3kydhFZD3wNuNAY0+krcQ/wN+A3ZxP3CLGPpO/7tE8yUOmgTfIIbRy+J2fDg7G7lCfjFpFPAlcDlxr7+NhofKbnYoz5tDFm+YA38CXgk/bnnwReBFv3X0QC7dfvBN6x/0d0iojEiUjf+/JVbLM3JlTsIvJ9bInji0NeGvh5bwTecuabYALE7XKeil1EsoDHgWuMMWf9Q86DcWcO+PAqbDOvXB37SF4CPiYiQSIyC8jEVkge+LmqgBYRWWtPnrdj/7szwnviI7G7lKfiFpEN2Hq41xhj2p0NzisPbN30KqAbW8a8Y0CxqBzoBKqB10e4fxq28eMj9j9j7dfPsV87BPwLB9MU7e0etn8dq/3Pb9uv32i//zDweyBoIsWO7bcJAxRgm0a6D7jT/lowttluR+3fOBk+Evcq+9dvA04CeT70nm+yf92+6y/5SNw/xzZ5ZR+wBVjkhvd8xHbYenrHsBXnrxzh/mzgoL3dY5yeFuvwPfGR2Ef9+hM47qPYajZ930e/dXT/wIeu0FdKKeVyPjMsppRSyndoclFKKeVymlyUUkq5nCYXpZRSLqfJRSmllMv5zCJKpTzNvu1P33YpM4BeoNb+cbsx5lyvBKaUD9CpyEo5QUS+jW2T0x97OxalfIEOiyl1BkSk1f7nRSLytog8JyKHReSHIvIJEdkpIrkiMtveLl5E/ikiu+yP87z7N1DKvTS5KHX2lgH3AUuA24C5xpjV2HZ4uNfe5ufAo8aYVdh23f69NwJVylO05qLU2dtl7FvA27ewf8N+PRfbYWIA64GFti2bAIgUkQhjTItHI1XKQzS5KHX2Bu6EbB3wsZXT/8cs2A5nOuXJwJTyFh0WU8oz3gD+u+8DEVnuxViUcjtNLkp5xheAbBE5ICL5wD3eDkgpd9KpyEoppVxOey5KKaVcTpOLUkopl9PkopRSyuU0uSillHI5TS5KKaVcTpOLUkopl9PkopRSyuU0uSillHK5/w/tkg2InZLYQAAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -2771,7 +2825,7 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 100, "metadata": {}, "outputs": [ { @@ -2858,7 +2912,7 @@ "11/10/15 1:17 22.316 3.471 33.199 19.95" ] }, - "execution_count": 98, + "execution_count": 100, "metadata": {}, "output_type": "execute_result" } @@ -2869,7 +2923,7 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 101, "metadata": {}, "outputs": [], "source": [ @@ -2878,7 +2932,7 @@ }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 102, "metadata": {}, "outputs": [ { @@ -2965,7 +3019,7 @@ "2015-11-10 01:17:00 22.316 3.471 33.199 19.95" ] }, - "execution_count": 100, + "execution_count": 102, "metadata": {}, "output_type": "execute_result" } @@ -2976,7 +3030,7 @@ }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 103, "metadata": { "scrolled": false }, @@ -2984,17 +3038,17 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 101, + "execution_count": 103, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -3002,12 +3056,14 @@ }, { "data": { - "image/png": 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\n", 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VV17J2WefTWVlJb1792bu3LkAHH/88SxevJjDDjuMZDLJfvvtx89//vP4swsWLGDGjBmdXt7OUNfZItLtCt11dlc64ogjmD9/PgMGDOjyaR955JHce++9DBw4cKen0dmus9V8JCLSAddccw2vv/56l0+3urqab3zjG51KCF1BzUciIh0wZcqUbpnu0KFDmTlzZrdMuyNUUxARkZiSgoiIxJQUREQklpekYGb7mNkCM1thZi+Y2dej9y8xszfNbEn0+Hg+4hERkZblq6aQAs5z97HAfwBfMbNx0bDr3H1S9PhjnuIRkd3Ipk2b+NnPfpb3+dbU1DBt2jTS6TQQbk77+Mc/zv7778/YsWM5+eSTWbduHc8//zynn3563uNrSV6Sgruvdfdno783AyuAvfMxbxGRQiWFW2+9lRNPPJFkMkltbS0zZsxg9uzZrFy5khUrVjB79myqq6sZP348q1ev7pZLXTsq75ekmlkVcAjwNDAVOMfM/htYRKhNbGzhM7OAWQD77rtv3mIVka731ve/T92Kru06u3zsgez1rW+1OvzCCy/k1VdfZdKkSXz0ox/lqquu4qqrruK3v/0tdXV1nHDCCVx66aWsWrWK4447jiOOOIKnnnqKiRMncsYZZ3DxxRfz9ttvM2/ePA4//HAuueQSXn31Vd58803eeOMNLrjgAs4666zt5jtv3jzuuOMOAO644w4+8IEPNOlwL7eLi0984hPceeedXHDBBV24ZjouryeazawPcDdwrru/B9wA7AdMAtYC17T0OXe/yd0nu/vk5j0UiojsyBVXXMF+++3HkiVLuOqqq3jooYd45ZVXeOaZZ1iyZAmLFy+Of01t5cqVfP3rX2fZsmW8+OKL3HHHHSxcuJCrr76a73//+/E0ly1bxgMPPMDf//53Lrvssu16N62vr+df//oXVVVVACxfvrzVbrehZ3SbDXmsKZhZKSEhzHP33wO4+7qc4TcDbXdmLiJFr60Sfb489NBDPPTQQxxyyCFA6MTulVdeYd9992XUqFGMHz8egIMOOoijjz4aM2P8+PGsWrUqnsYnP/lJKisrqays5KijjuKZZ55pcvPZO++806GuMHpCt9mQp6RgocPwW4AV7n5tzvvD3H1t9PIEYHk+4hGR3Zu7c9FFF3H22Wc3eX/VqlWUl5fHrxOJRPw6kUiQSqXiYc1/G6H56+bdbB900EH85S9/aTWmntBtNuSv+Wgq8Hngw80uP73SzJ43s2XAUcD/5CkeEdmN9O3bl82bN8evjz32WG699Va2bNkCwJtvvsnbb7/doWnee++91NbWsn79eh5//PHtelkdOHAg6XQ6TgynnHIKf/vb33jggQficR588EGef/55oGd0mw15qim4+0KgpR8+1SWoItLtBg8ezNSpUzn44IP52Mc+xlVXXcWKFSv4wAc+AECfPn341a9+RTKZbPc0Dz/8cGbMmMHrr7/Od77zHYYPH77dOMcccwwLFy7kIx/5CJWVlcyfP59zzz2Xc889l9LSUiZMmMD1118P9Ixus0FdZ4tIHuxKXWcDXHLJJfTp04c5c+a0Od5zzz3Htddey+23397meHV1dUybNo2FCxdSUtK5srq6zhYR6aEOOeQQjjrqqPjmtda8/vrrXHHFFZ1OCF2h8BGIiBSZSy65pN3jnnnmmTscZ/To0YwePboTEXUd1RREJC+Kram6GHXFOlZSEJFuV1FRwfr165UYupG7s379eioqKjo1HTUfiUi3GzFiBKtXr6a6urrQoezSKioqGDFiRKemoaQgIt2utLSUUaNGFToMaYfdJilsrUuRTBilyQTJREu3TOxYJuOk3cm0owps0W0ZZpCw8Mps+7seRUR6kt0mKRzxw8fYuK0BCAfn0kRIDo6TyRAf7N2bHsgTZmQ8JIOuag5NRNNPmEWJIrxvRK+j+WaTSCJ6ziaW7NgJg2TCGh/NPxNNryXZz2THTWechrSTSmdoSGfItLCsIamGxBoeFi9HIhFiDuvX4jsVmybF7LI0Js1c2XVhOes+xAjJeD5GMtG4/hJmlERxJBNhPMzAndxFyBYIShJGSTJBwiDjoR3WHbJjZ5chYY3rNxGt20RUmGhIZ2hIZWhIOw2ZTJh+FGs2Zmj5pJ/F66jluzmzA7PLn/bwneR+PxknbKtsH3/zWVrOdtDWeFkeDfOc6ScSRknCSCYS0bPh7tH6a7ru4m212XeWXZfWbPnC/uekMx4vV8urpOk2ld1+s/txvM6j/bmlqWTXVSoq3KXTGdIOSYNkMkHSwnJm11V2HWfcsWh/y90vc9d9dl1kY8iu4+w6DAXK8HdZSYKSRNh/ykoS8TEmO8/svtdYkAzfYWkywYwJw1rbarrMbpMUzv3IGLbWp2hIOalM2KHTmUz0JeccUGjcMbJfUMKgpIWDw440bjTEX7rnbGgZD7WPxnl6zoaU/Yw3+XxufO5hZ0pnnzNNDxS5SS5Xdr4h2YXxkwmjJJGgrCQ8N69NeTRuQypDKpOhPu00pDJhGtEBK7tM3vihZsvSdDmaTB9vshPlrv90xqP5O+kM8d/Zg0n4m3g9ZGUPvNkYdkXZZWx+0ISmByWn9fGysttKblIG4u841VJJQfKmb3mJkkJXOu2DVYUOQQookwml+lQ6HNwyGQ8FgkTjwRKIS8B4Y5LJHhSzCae8JKoplYSSM5CTnMJ4cY0gJ4bsITV7kG5JXPL2kLwTiahWmwyl4pJk0xphPuUWQnJrf9koGgs7jUk9rgFkGmvbTZYvWo5sTRdrOVllV1i28JDx8D2mMk46HQp6kFOSb6WWnC3YJaPaT7aUnmpSwAi1o9waOzQtyDUm0Jbn2Zh4G2sYiWj5Qm3cQ40zqgUmEtZY06Kx1pOb2PP1fe82SUF2b4mEUZ5IUq4tfqdZ1FTX1ipMtt4oJkVC9ymIiEhMSUFERGJKCiIiElNSEBGRmJKCiIjElBRERCSmpCAiIjElBRERieUlKZjZPma2wMxWmNkLZvb16P1BZvawmb0SPQ/MRzwiItKyfN3fmQLOc/dnzawvsNjMHgZOBx519yvM7ELgQuCbeYqpXdwdb2jAa2vJ1NTitTV4fT0kS7CyUqykBCsNzwCeyUA6jaczkGn7d1mjGeAZh0waT6fjz3pdNL/sc0MDlkxAMoklk5BIYImuy+lWWhoeZWVYaSkkS9rosS0PHPAMnko3WTeZ2jq8tiZeN55KQzKBJZLhOZkEa8d6MRrXY/SMg6dTEH13nkqRqa3Fa+ui51q8vg5vaCBTXx+2i/r6MLyuFq+pDeM1NIQuCZLJ8B2VlGzXRYHj+LYaMlu3kt62lczWbXhdXeP3mvM9t2NRoCx8f4nSMqws+v52JJPBM2lIR8+pdOP2m/NsJSXxdmGlpVh5GYnyChKVFVhFJYmKcqysvMn2Y2VlWEU5ifIKrLIiPJeVRt9jdr6t7B+WiLb1kvBs1vi5dAoymbDUyQSWHSdZEuLIicvKSrHseoy+CysvxyoqSFRUxPusNJWXteLua4G10d+bzWwFsDfwSWB6NNptwON0U1JY98MryWzdGu/0nknTUlegXldHeuNG0u9uIrVpE+lN70JDQ3eEJEXIysoaH9mDZEU5iYpKrKKcZL9+IalmMjkFhPR2PfIZkBw6lERVFYnevUj06o1VVDQ9ULfwuRZlMiFBZR/19WHeO1wYGpNpnFRL4tdWEhKsp1KN021owOtCEsxsqyGzcRO+bVtIlA31UN8Q/d3Q8/eb0lISZWUhaSebrYdETjJJJkLSyya36Ln5+oq7AN4JcXJLhPm5eyiceCYuYFppGXtedGEXr4Tt5T1VmlkVcAjwNLBnlDBw97Vmtkcrn5kFzALYd999d2q+WxYsIL11S9OdIJHYrjRspaWUDBhIWVUVlQMGkBwwgETvPvGOn6iswMrKQmm+oQFPhZ0g3gFyd66oa+odr5RE01JPIhnmk1vqKS2JS26eikpLXdX1p3vY8XNLv6l21HK6W8JCaS4qzVsy2VjKi55JlkQ1iUxjjaI9q8Wjg26m8TkuoUY7JskkicrKeH5WXq7fw+iAUNOqy6nt1ke1nyjhJBLb16A86oM6W1tJpUJncDkl/mytLv7e0yk8nQ7JKqrNZ2rrQq0u+x1na5z19WRqasnU1kQ1wJpmNaWWak6pUDOsrSO9ZTNeXU2mrnb78dqTiFtcUd64rFFBgtyaZlR7TPTrl5ekYPn8zVQz6wP8Bfieu//ezDa5+4Cc4Rvdvc3zCpMnT/ZFixZ1d6giIrsMM1vs7pPbM27erj4ys1LgbmCeu/8+enudmQ2Lhg8D3s5XPCIisr18XX1kwC3ACne/NmfQfcBp0d+nAffmIx4REWlZvs4pTAU+DzxvZkui974FXAH81sy+ALwOnJSneEREpAX5uvpoIa1f4Hh0PmIQEZEd0x3NIiISU1IQEZGYkoKIiMSUFEREJKakICIiMSUFERGJKSmIiEhMSUFERGJKCiIiElNSEBGRmJKCiIjElBRERCSmpCAiIjElBRERiSkpiIhITElBRERiSgoiIhJTUhARkZiSgoiIxJQUREQklpekYGa3mtnbZrY8571LzOxNM1sSPT6ej1hERKR1+aopzAWOa+H969x9UvT4Y55iERGRVuQlKbj7E8CGfMxLRER2XqHPKZxjZsui5qWBrY1kZrPMbJGZLaqurs5nfCIiu5VCJoUbgP2AScBa4JrWRnT3m9x9srtPHjp0aL7iExHZ7RQsKbj7OndPu3sGuBk4vFCxiIhIULCkYGbDcl6eACxvbVwREcmPknzMxMx+DUwHhpjZauBiYLqZTQIcWAWcnY9YRESkdXlJCu7+2RbeviUf8xYRkfYr9NVHIiLSgygpiIhITElBRERiSgoiIhJTUhARkZiSgoiIxJQUREQkpqQgIiIxJQUREYkpKYiISExJQUREYkoKIiISU1IQEZGYkoKIiMSUFEREJKakICIiMSUFERGJKSmIiEhMSUFERGJKCiIiEstLUjCzW83sbTNbnvPeIDN72MxeiZ4H5iMWERFpXb5qCnOB45q9dyHwqLuPBh6NXouISAHlJSm4+xPAhmZvfxK4Lfr7NmBmPmIREZHWFfKcwp7uvhYget6jtRHNbJaZLTKzRdXV1XkLUERkd1MUJ5rd/SZ3n+zuk4cOHVrocEREdlmFTArrzGwYQPT8dgFjERERCpsU7gNOi/4+Dbi3gLGIiAj5uyT118DfgQPMbLWZfQG4Aviomb0CfDR6LSIiBVSSj5m4+2dbGXR0PuYvIiLtUxQnmkVEJD+UFEREJKakICIiMSUFERGJKSmIiEhMSUFERGJKCiIiElNSEBGRmJKCiIjElBRERCSmpCAiIjElBRERiSkpiIhITElBRERiSgoiIhJTUhARkZiSgoiIxJQUREQkpqQgIiIxJQUREYmVFDoAM1sFbAbSQMrdJxc2IhGR3VfBk0LkKHd/p9BBiIjs7tR8JCIisZ6QFBx4yMwWm9mslkYws1lmtsjMFlVXV+c5PBGR3UdPSApT3f1Q4GPAV8zsyOYjuPtN7j7Z3ScPHTo0/xGKiOwmCp4U3H1N9Pw2cA9weGEjEhHZfRU0KZhZbzPrm/0bOAZYXsiYRER2Z4W++mhP4B4zy8Zyh7s/WNiQRER2XwVNCu7+L2BiIWMQEZFGBT+nICIiPUehm49ERCTLHeq3wntvwobXYOOqxkfDNjjtvm4PQUlBRKQ93KF2E2yphm3roWErNNRCqhYaaiCTAjOwBBA9WwISyca/PQNbq2HzW7BlXXje9g7Uvgd174VnTzedb2lvGFgFg0ZBJgOJ7m3g2X2SwoIfQHlfGLx/eAwcCclSyKThvTWwMcrKdVug1yDoNTg8Vw6CyoFQ3q/bvwwR6YBMBuq3hINp/TYo6w0V/aCsTzg4u4d9+52XoPplWP9KOIiXlEGyLOz/idJwEM6kId0QDuypujDd+i2h1F63JSSBrdWQaeia2BOl0Hcv6LMn9Nsbho4NsZf3C8/99oaBo0Iy6D0kLE+e7B5JwR2evQ02r218L1ESvpAtb7fzi7boC+sfvrREEizZ9DlZBqW9oLQCSivDxjlgJAwZA0NGQ/99QmKpfQ/Wr4T1r4bnZEkY1n9EePSwBHU0AAARfElEQVTbO2ywIsXGHd5dHQ7EFQOg3/CwnyWSrX8mkwnNJetXhsJZXIpeB1vegppN4cDtHg7eng4l87rNhA4RmrFEKABm0uHAnlXeH8r7QLo+PFL1Yd9PlESPZDhYJ8vCeGV9QqIZsA8Mmwh9hkLvodB7D+g9OJTgSyugpBJKysM+6x5i8kzOIxt3Jhzcew8NBc08Hug7YvdICmZw3ouwbUN0MI4e774J/YaFbDywKmTm8r5QszGMu219eNRugtp3Gx91m0OJIpMOz55uLLVsfSe0/aVqw8G/fnNjHCWVYWPbmttVh7Hdhm0J6Ds8imlkSCxlvcPOtun1xkeyBPrsBX33DM99hkKyPGcDLwkba0X/6DGgaWmkrG+Yxo64h/VR1iskOylOte/C2y9C9Qp4e0XYnjwThnm0DSZLw/YRHxR7hdJ13eawLddtCdt8eT+oHBBtU/1DgWvt0vCo2dB0vpYMpeLeQ8JBNz4IJ0JTzMbXwv7S+IEwbp89w2PQfmF8S4TPWDIUvir6hf21vF943bA17HO174bagyVCq8DQA2DIAdBnjx57IO5JzL2FTNuDTZ482RctWlToMNrHPSSVd16OHq+EDXbwflEz1ujQTuiZkKDefSPsqO++ARv/HZqzNv27sYaTrXkM2DeUXjKpxtLU5rdCsknXdyzG0l5hx6ocGJrKeg1qLMVsysazGlI1Yfzee0Tz3zeUAkvKo/bSnNpSdkfN7rTJ8pB8EiXRQSHZNHFZMiTUd9+I5hnNN5NqnG4iCSUVoUaVbV8dMDIkqYZtzZL2lvBew7ZQ/U83hPFyS3+J0pyEnm4sieaW8DLpUJJMNzSWLt2jZoeSxke2Tbl+a9S23BDWYa/BjY/6LeH7f+eV0Iyx4bUwTnZdZten5bQ/m4WD2+a3QjPI5rfCd91QG8WVCjGZhYNztrmz18AQ+9Z3Qnv11neiduycmnJp71DgsGQol2Sl6qMmmS0hCXgGsLDeyvuGdZgojdb1psaSeKIU9hwXStTDJobmkLrNoQbw3prw2LY+KkylGtdt5aBof9gvHPwHvS8kENWUu5SZLW7vzxIoKRSDhtpwgGtvlTOTadz5UrVND5i1m8LOGj+iklXNRti2MZTytm0AvLE5q/8+oUmrYWvTmsp7a8IB0zO0WI3vjD57hoSTSTfWyBpqQgy5EiVhWE+SPaHYkrI+oUAwaFRY79l1uaNkniyL2qD3CqX3bDNHsiQkqpqNjTXcmg3hYN97cGiq6DUkPA/eD/YYB3scCP333fE5MvfQvp4sa33cdCosR3mf8H1Jj9SRpLB7NB8Vu9KK8GivRAISZUBZOID0GtRtocWypexUbWPCyV5Rka5vPImXSUWJJOdgn0mHkvyAfRrPrbR0gMk2Y21cFV0Y8FoonWebMLLne8r6Rk1dvUKtIFnWWGvInjxM1zfWUpqcH8q5asQSjSckk2XhQGzWdDky6RBraa8wz5LKxhL+tvUh3q3vhO9vyBjoO2z7xJ7JhDb0LW9FtRSi53RIIv2GF6YN2mzH212yJCQf2WUoKUjXMAsH1rLe4dF3r+6ZR+/B4THisA5+OA+JMVc2SQ16347HTSTCua1+w7o/LpEd0DWWIiISU1IQEZGYkoKIiMSUFEREJKakICIiMSUFERGJKSmIiEis6O5oNrNq4N+tDB4CvJPHcLpSscZerHFD8cZerHGDYi+EIUBvdx/anpGLLim0xcwWtfdW7p6mWGMv1riheGMv1rhBsRdCR+NW85GIiMSUFEREJLarJYWbCh1AJxRr7MUaNxRv7MUaNyj2QuhQ3LvUOQUREemcXa2mICIinaCkICIisaJKCmbWrutse6Jijd3MivY3N8ysaH/9xcz2KHQMO8PMBhY6ht2NmfXvyukVRVIws15mdh0w38wuNLMPR+8nCxzaDplZhZndACwws8tyYu/R697M+pjZjcAXzayy0PF0RBT7dcADZvZdMzuq0DG1VxT7NcAfzexaM/tY9H6P/sX5aB/9KfCgmX3VzA6J3u/R2znE6/xnZnZsoWPpiCjua4Hfm9m5ZjapK6bb47+wyLeAAcBxwPPA7WZW7u7pwobVLmcCewDTgNeAW82swr21H/EtvKi0dy1hfR8KHFzYiNrPzMYA9wBpwrqvJmw/PV4U+28Jv4h4ArAKmAXgPf+KkG8Ag4HTgArgRoCevJ0DmNnewM3AycApxVKjj5LuQ0A9cDHhruUvd8W0e3RSMLMSM+sF7An8xN03uvsDQC1wVTROj1sGMytr9tbf3X29u/8/4O/A96LxelTpLyfuOuAnwARgG/Chnt4UkxP7VuAmd5/j7v8E/gisNbMRhYuubTmxrwfOdfevu/sbQD9CDbM8Gq9HbetmVhE9lwBlwB3u/qK7XwWsi0qxPS5uaIydsH1fD+wDDASO68ktEDm19veAn7v7he6+EPgrkDaz3p09rvTEL+sAM7sSwN1T7r4NqARONrP+ZrYvsBA4wcxGunumpxxczWy0md0KXGNmU6K3ywlZPOt84EQz28/dvSfE3kLc9e6+zN3fBf4ATAS6pGra1VqIfQ3wh5z12gs40N1XFyzIVrQQ+2Z3fzlqFrgE+BIwjrA8e/eUbd3MxpjZPODHZjbZ3VNAH+ADOaPNBv7bzEb0pNpC89iBLe7+lLvXALcBnwZGFjTIFuTE/aMo7teAX+UksG3AGHff2tlaZY9KCmY2A/g9MMfMLswZ9C1gOKFK+ifgF8BdwFnQM6rWZjYbuBdYDKwDsu2qdwEzzOwggOjgdC9Rk0ahY28h7q8AU7PD3f1x4A3gqJ5W2m4l9iPdvSFnvQ4CXipQiK1qJfbsQXUrcL+7j3D3LxHi/zn0iO2lkrAfLgWWAV8xsy8APwS+ZGZDIN7Of0W0j/YELcT+JeDr2eHufjewCfiMmZUWJMgWtBL3N9w9k9OE/j7gha6YX49KCoSd43PAGOCbZtYXwN1fB84gtJ1Nc/e/AmuB5dBjmmHWAV93958CPyC0C+8X7RzzgQvNbM9o3AdpvafXfGsedznhQJp75dE8YChwsJl9zcwmFCTS7bUVe7YENY5oZzGzU6J2+56geexlRLF7sDhn3LuBN6xnXAm2H7DV3a909x8TCmgnEM4j3EDTu2dfBlZDj9lHm8c+FzjCzI7MGef/CIWi95nZ583sgALE2VxrcX8oZ5xRwLMAZvZJM9vp2k6PSgruvgh40d1XEg6cN0A4OEVV1Jfd/R0z+wDwn4STiAUvPUXuBx43s7Ioe79NOMEM8B0gBVxsZl8klKo2FCbM7TSPex1R3NE6x91XEJLcnYQTifUFirW5tmLPlqCOAIaa2T2EAkdDQSLdXlvbSyxqKvg+8Hz2+ygkd18OVOUcSJcBjwAXAN8GBpnZxWZ2MqGWUBt9ruD7aAuxLwUeBU7PGWcRkAEWEeIv+PbSRtxn5ow2EdjHzO4DTiUcb3Z6hnl/EE7oJHJeW/O/CSfZNgHvzxlWAZxNKIF8rqfF3my8Rwm1muzrvQiJ7M5CxN6JuA04FngTOKXI1nlFtAMtBk4ustiHAD8uVOyEK4kGNtsOEtHfXwV+lTNsEnBLFPMY4L8JV8YUah/taOw3Es47QTin8Abw2WKJm1DDrAb+Bny603EUYMG/DbwIXAPMbmWcZPT8HWBB9PdxQBIYXogNrQOxJ4BhwANRvAlgClBaZHFbFHcS6FOMsUfDTiji2D9YoLj/l9A8exdwcQvD9yc0aZ0WvR4M/BnYq1DrupOxP5iNHdi3iOL+c07cX+iyWPK84CcTLhHsT2gDewn4UAvj5dYcUsBm4DqgvIAbW7tij8Y9MPoCTyG0810IlNJKKbEHx31RgZNZZ2L/NlHhoghj/xZQUqC4x0UHyQrCVTh/AT5L+OWu3PGOAf5FuI/lZGBBoQ6oXRT7yCKNe1SXx5OHBR6U8/fXCGfNs6/vAJ6ghRIGoSp6M/AcMLVAX9bOxv4lQrvkbwhXwyhuxd6jY8+JZV/gKWBI9PozhCufPpAzTraJdzbwI0ITV0H20V0h9p4Wd7edaI7uKfgFoWuKr0R3Dq4FJpnZEdENOdWE68j/I/pMbjybgLnufoi7P9ldcXZT7I8BX3L3T7v7E4pbsffE2M1ssJndZGbTct6uJNxgmb3C7DeECwsmm1ky9yoid78B+B93P6wA+2hRxl4McXfn1UcXEdpIv0Bo/7rd3e8CVhBux36K0GXFTwjZD8+5ycXDjWt53dBydDb2l929ED/IUaxxg2LPa+zRJYu/AP4L+Kw13rG+knDFzSFmNtxD8fTPhIsM0h7JiT3vXc0Ua+xFE3c3VIWMcPniFcBHct5/Argo+nsYMCL6ezLw/ejvRFfHszvEXqxxK/aCxj44iqcf4YbQk4jOHwFHEi4H/++c8R+mgBd57AqxF0vcXV5T8CBFuAP5sJxBXwK+YWaD3H2tu682s3GEfoDeiT5b0NvhizX2Yo07mr9iLwB3Xw+84O7vAb8mnNgcFg17gnBJ6afM7Doze4RwD8jbhYo3V7HGXjRxd0M2zF5XeyihHbUyZ9jNwPk5mfFFQvtYQTN4scderHEr9p7zAH4H/A85V5sBVYTeT1u8nLanPIo19p4a907/RrOZfZPQPfH17t6Q836CcKY8bWZ3AjXufkY0bA7wlrv/KurCot7d63YqgE4o1tiLNW7F3vO2F49qKmaWjOKfBpxHOCAdSbg/6LV8xpurWGMv1rib2InsVkG4jvpNwq3gE3OG5d5fMIrQF81fo/E/Q7gl/r8KmJmLMvZijVux9/jtZUKzzz1G6JL5EaLzIIp91467xWXZiYU3QodRSUKfLNcCfXOG7wX8knDFRSnhduwzCe1lBdvBizn2Yo1bsff4uP9KOB9STuj/59/AzCJZ5z0q9mKNu8VlacfClgBzgH1y3quInocR7qo7hsabK46hh7TjFWvsxRq3Yi/euClc9w5FGXuxxt2uZdvBgo8n3Ha/Dvh1s2HZhT2XcLfmdpdOUdhuBooy9mKNW7EX7fZSkO40ijn2Yo27vY8dXZL6DuGW6gMJXbceA036qgf4KeGOvMlmNs3MTojGMS/sbygXa+zFGjco9kLobNyF7I67WGMv1rjbpx1ZsTJ6Pht4PDcj0nhJXrbf9JX0oPaxYo29WONW7Ip7d4m9WONu17J1ZCUQevL7WrP3JwL/BK4o9MLsarEXa9yKXXHvLrEXa9xtLlMHV8CxwNPR3wcTugXuBwwu9ILsqrEXa9yKXXHvLrEXa9ytPTrUzYW7/xnYaGZ1hJ+ULHf39zzcvt2jFWvsxRo3KPZCKNa4oXhjL9a4W9PupGBmCTP7LjAWOMfdZ7h7wfsTaY9ijb1Y4wbFXgjFGjcUb+zFGndbOtTNhZl9DHjMC9DVQGcVa+zFGjco9kIo1riheGMv1rhbs9N9H4mIyK6nO39kR0REioySgoiIxJQUREQkpqQgIiIxJQUREYkpKYi0wczSZrbEzF4ws6Vm9o3oF9fa+kyVmZ2SrxhFupKSgkjbatx9krsfBHwU+Dhw8Q4+UwUoKUhR0n0KIm0wsy3u3ifn9fuAfwBDgJHA7UDvaPA57v43M3uKcIfra8BthG6WrwCmE35x66fufmPeFkKkA5QURNrQPClE720k9KW/Gci4e62ZjSb84MpkM5sOzHH346PxZwF7uPt3zawceBI4yXvCj7SLNFNS6ABEipBFz6XAT8xsEpAGxrQy/jHABDP7VPS6PzCaUJMQ6VGUFEQ6IGo+SgNvE84trCP0nZ8g/KBKix8Dvhr1pinSo+lEs0g7mdlQ4OfATzy0u/YH1rp7Bvg8kP05xs1A35yP/hmYbWal0XTGmFlvRHog1RRE2lZpZksITUUpwonla6NhPwPuNrOTgAXA1uj9ZUDKzJYCc4HrCVckPWtmBlQDM/O1ACIdoRPNIiISU/ORiIjElBRERCSmpCAiIjElBRERiSkpiIhITElBRERiSgoiIhL7/17wbCfdl5ezAAAAAElFTkSuQmCC\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], From 2033775ece748658ca483bf2ac6f48643e3bf916 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Wed, 31 Oct 2018 19:04:12 -0700 Subject: [PATCH 35/78] updates to assignments 4-5 and world series winners ... go sox --- assignments/answers/assignment3_answers.ipynb | 104 +- assignments/assignment4.md | 42 +- assignments/assignment5.md | 39 +- data/world_series_winners.txt | 1 + lessons/lesson10.ipynb | 1009 +++++++++++++---- 5 files changed, 931 insertions(+), 264 deletions(-) diff --git a/assignments/answers/assignment3_answers.ipynb b/assignments/answers/assignment3_answers.ipynb index a048a19..d01dd84 100644 --- a/assignments/answers/assignment3_answers.ipynb +++ b/assignments/answers/assignment3_answers.ipynb @@ -4,18 +4,62 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Answers for Assignment 3 - Python Fundamentals I\n", + "### Answers to Assignment 3 - Python Fundamentals I\n", "\n", - "Complete the tasks below. You should turn in a single Jupyter notebook named `3_first_last.ipynb` (substitute your first and last name); please run Kernel > Restart & Run All on your notebook before turning in. Also turn in the input CSV file used in question B3. For questions where Python scripts are used instead of the Jupyter notebook (questions A1, B1, B2), instructions are provided about pasting output/scripts into Markdown cells in your notebook." + "Complete the tasks below. You should turn in a single Jupyter notebook named `3_first_last.ipynb` (substitute your first and last name); please run Kernel > Restart & Run All on your notebook before turning in. Also turn in the input CSV file used in question B3. For questions where Python scripts are used instead of the Jupyter notebook (questions A1, B1, B2), instructions are provided about pasting output/scripts into Markdown cells in your notebook.\n", + "\n", + "#### A. Python basics, strings, printing (Shaw Exercises 1–10)\n", + "\n", + "1. Take the file of Python code you generated in Exercise 1, called `ex1.py`, and run it on the command line. Copy the command and output from your terminal and paste it in a Markdown cell in your Jupyter notebook. (Ex1)\n", + "2. Print a sentence that contains a phrase in double quotes; print a sentence that contains an apostrophe. (Ex1)\n", + "3. Deliberately enter five incorrect commands (in separate cells) and interpret the error messages (in Markdown cells). (Ex1)\n", + "4. Add comments to your code in \\#2 and \\#3 explaining what is happening. (Ex2)\n", + "5. Write and evaluate five mathematical expressions. (Ex3)\n", + "6. Assign values to three numeric and three string variables. (Ex4)\n", + "7. Print values of the six variables you assigned in \\#6. (Ex4–5)\n", + "8. Print two strings in raw format (%r formatter) and two strings in general/string format (%s formatter) with formatting characters. (Ch6)\n", + "9. Concatenate two strings into a third string, then find the length of all three strings.\n", + "10. Print the three strings from \\#9 with a tab between the first and second and a newline between the second and third.\n", + "11. Print the three strings from \\#9 with a stored formatter. (Ch7–8)\n", + "12. Print a piece of text with five lines using both newline characters and a text block. (Ex9)\n", + "13. Print a string containing a backslash, single-quote, double-qoute, newline, and tab. (Ex10)\n", + "\n", + "#### B. Taking input, reading and writing files, functions (Shaw Exercises 11-26) \n", + "\n", + "1. Write some code, without using functions, that calculates the average of 5 numbers. Do it three different ways:\n", + "\n", + " * Write a .py file that takes input from the command line using `input()`. After the script works, paste the text of the file into your Jupyter notebook.\n", + " * Write a .py file that takes input from the command line using `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", + " * Enter code into two Jupyter notebooks cells: the first stores value as variables, and the second computes the average.\n", + "\n", + "2. Using functions, write some code that takes two strings, prints them with the first letter capitalized, prints them with all letters capitalized, prints the first and last letter of each, prints the length of each, and then prints the concatenation of the two strings. Do it two different ways:\n", + "\n", + " * Write a .py file that uses `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", + " * In your Jupyter notebook, comment out the `argv` portions and hard code in the values of your strings. Then make sure the code runs the same.\n", + "\n", + "3. Using a text editor, create a comma-separated values (CSV) file with 5 columns and 5 rows. Save it in the same directory as your Jupyter notebook. In the Jupyter notebook, read and print the file in different ways, and write new files, as follows:\n", + "\n", + " * Read your CSV file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!).\n", + " * Do the same but use a `with` block and a different one of `read()`, `readline()`, or `readlines()`.\n", + " * Using either of the two above methods to read in the file, then change one row of data (i.e., modify the string or list), then write your csv data to a new file.\n", + " * Read your CSV file using Pandas and display the resulting DataFrame.\n", + " * Save your DataFrame to a new file using Pandas.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### A. Python basics, strings, printing (Shaw Exercises 1–10)\n", + "---" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to A. Python basics, strings, printing (Shaw Exercises 1–10)\n", "\n", - "**1.** Take the file of Python code you generated in Exercise 1, called `ex1.py`, and run it on the command line. Copy the command and output from your terminal and paste it in a markdown cell in your Jupyter notebook. (Ex1)" + "1. Take the file of Python code you generated in Exercise 1, called `ex1.py`, and run it on the command line. Copy the command and output from your terminal and paste it in a markdown cell in your Jupyter notebook. (Ex1)" ] }, { @@ -75,7 +119,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**2.** Print a sentence that contains a phrase in double quotes; print a sentence that contains an apostrophe. (Ex1)" + "2. Print a sentence that contains a phrase in double quotes; print a sentence that contains an apostrophe. (Ex1)" ] }, { @@ -110,7 +154,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**3.** Deliberately enter five incorrect commands (in separate cells) and interpret the error messages. (Ex1)" + "3. Deliberately enter five incorrect commands (in separate cells) and interpret the error messages. (Ex1)" ] }, { @@ -261,7 +305,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**4.** Add comments to your code in \\#2 and \\#3 explaining what is happening. (Ex2)" + "4. Add comments to your code in \\#2 and \\#3 explaining what is happening. (Ex2)" ] }, { @@ -275,7 +319,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**5.** Write and evaluate five mathematical expressions. (Ex3)" + "5. Write and evaluate five mathematical expressions. (Ex3)" ] }, { @@ -444,7 +488,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**6.** Assign values to three numeric and three string variables. (Ex4)" + "6. Assign values to three numeric and three string variables. (Ex4)" ] }, { @@ -472,7 +516,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**7.** Print values of the six variables you assigned in \\#6. (Ex4–5)" + "7. Print values of the six variables you assigned in \\#6. (Ex4–5)" ] }, { @@ -505,7 +549,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**8.** Print two strings in raw format (%r formatter) and two strings in general/string format (%s formatter) with formatting characters. (Ch6)" + "8. Print two strings in raw format (%r formatter) and two strings in general/string format (%s formatter) with formatting characters. (Ch6)" ] }, { @@ -538,7 +582,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**9.** Concatenate two strings into a third string, then find the length of all three strings." + "9. Concatenate two strings into a third string, then find the length of all three strings." ] }, { @@ -575,7 +619,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**10.** Print the three strings from \\#9 with a tab between the first and second and a newline between the second and third.\n" + "10. Print the three strings from \\#9 with a tab between the first and second and a newline between the second and third.\n" ] }, { @@ -607,7 +651,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**11.** Print the three strings from \\#9 with a stored formatter. (Ch7–8)" + "11. Print the three strings from \\#9 with a stored formatter. (Ch7–8)" ] }, { @@ -640,7 +684,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**12.** Print a piece of text with five lines using both newline characters and a text block. (Ex9)" + "12. Print a piece of text with five lines using both newline characters and a text block. (Ex9)" ] }, { @@ -705,7 +749,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**13.** Print a string containing a backslash, single-quote, double-qoute, newline, and tab. (Ex10)" + "13. Print a string containing a backslash, single-quote, double-qoute, newline, and tab. (Ex10)" ] }, { @@ -737,13 +781,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### B. Taking input, reading and writing files, functions (Shaw Exercises 11-26) \n", + "#### Answer to B. Taking input, reading and writing files, functions (Shaw Exercises 11-26) \n", "\n", - "**1.** Write some code, without using functions, that calculates the average of 5 numbers. Do it three different ways:\n", + "1. Write some code, without using functions, that calculates the average of 5 numbers. Do it three different ways:\n", "\n", - "* Write a .py file that takes input from the command line using `input()`. After the script works, paste the text of the file into your Jupyter notebook.\n", - "* Write a .py file that takes input from the command line using `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", - "* Enter code into two Jupyter notebooks cells: the first stores value as variables, and the second computes the average." + " * Write a .py file that takes input from the command line using `input()`. After the script works, paste the text of the file into your Jupyter notebook.\n", + " * Write a .py file that takes input from the command line using `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", + " * Enter code into two Jupyter notebooks cells: the first stores value as variables, and the second computes the average." ] }, { @@ -852,10 +896,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**2.** Using functions, write some code that takes two strings, prints them with the first letter capitalized, prints them with all letters capitalized, prints the first and last letter of each, prints the length of each, and then prints the concatenation of the two strings. Do it two different ways:\n", + "2. Using functions, write some code that takes two strings, prints them with the first letter capitalized, prints them with all letters capitalized, prints the first and last letter of each, prints the length of each, and then prints the concatenation of the two strings. Do it two different ways:\n", "\n", - "* Write a .py file that uses `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", - "* In your Jupyter notebook, comment out the `argv` portions and hard code in the values of your strings. Then make sure the code runs the same." + " * Write a .py file that uses `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", + " * In your Jupyter notebook, comment out the `argv` portions and hard code in the values of your strings. Then make sure the code runs the same." ] }, { @@ -931,13 +975,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**3.** Using a text editor, create a comma-separated values (CSV) file with 5 columns and 5 rows. Save it in the same directory as your Jupyter notebook. In the Jupyter notebook, read and print the file in different ways, and write new files, as follows:\n", + "3. Using a text editor, create a comma-separated values (CSV) file with 5 columns and 5 rows. Save it in the same directory as your Jupyter notebook. In the Jupyter notebook, read and print the file in different ways, and write new files, as follows:\n", "\n", - "* Read your CSV file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!).\n", - "* Do the same but use a `with` block and a different one of `read()`, `readline()`, or `readlines()`.\n", - "* Using either of the two above methods, then change one row of data, and write your data to a new CSV file.\n", - "* Read your CSV file using Pandas and display the resulting DataFrame.\n", - "* Save your DataFrame to a new file using Pandas." + " * Read your CSV file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!).\n", + " * Do the same but use a `with` block and a different one of `read()`, `readline()`, or `readlines()`.\n", + " * Using either of the two above methods, then change one row of data, and write your data to a new CSV file.\n", + " * Read your CSV file using Pandas and display the resulting DataFrame.\n", + " * Save your DataFrame to a new file using Pandas." ] }, { diff --git a/assignments/assignment4.md b/assignments/assignment4.md index d903a99..7dc35f0 100644 --- a/assignments/assignment4.md +++ b/assignments/assignment4.md @@ -2,37 +2,37 @@ Complete the tasks below. Please turn in a single Jupyter notebook named `4_first_last.ipynb` (substitute your first and last name). Please run Kernel > Restart & Run All on your notebook before turning in. -**1.** Lists and loops. +#### A. Lists and loops -* Create a list of 10 random integers in the range of -100 to 100. -* Loop through that list using a for loop. Put the non-negative (positive or zero) integers into a new list. If negative integers are encountered, print a message saying that the value is negative and printing that value. +1. Create a list of 10 random integers in the range of -100 to 100. +2. Loop through that list using a for loop. Put the non-negative (positive or zero) integers into a new list. If negative integers are encountered, print a message saying that the value is negative and printing that value. -**2.** Functions, lists, and loops. +#### B. Functions, lists, and loops -* Write a function that does what you did in Question 1 but with the following differences: +1. Write a function that does what you did in part A but with the following differences: - The input list can be any list of numbers. - The function should take as a parameter a threshold for being included in the new list (e.g., if you want non-negative integers, the threshold would be 0, and the function would check if values are >= to this value). - The printed message for failing to be included should also report the threshold parameter. - The new list should be returned by the function. -**3.** Dictionaries and list enumeration. +#### C. Dictionaries and list enumeration -* Create a two-dimensional list with 3 'rows' and 4 'columns' and a mixture of strings and integers. -* Loop through each element of the list and check if each element is a string or an integer. -* Save the strings as a dictionary with the index (row, column) as the key and the string as the value. -* Save the integers as a dictionary with the index (row, column) as the key and the integer as the value. +1. Create a two-dimensional list with 3 'rows' and 4 'columns' and a mixture of strings and integers. +2. Loop through each element of the list and check if each element is a string or an integer. +3. Save the strings as a dictionary with the index (row, column) as the key and the string as the value. +4. Save the integers as a dictionary with the index (row, column) as the key and the integer as the value. -**4.** List comprehension and saving files. +#### D. List comprehension and saving files -* Create a list of 5 strings that are first and last names, e.g. `'Jon Doe'`. -* Use a list comprehension (a single-line command) to get the first initial from each name and store each string (e.g. `'J'`) in a new list. -* Repeat but store both the first and last initial (e.g. `'JD'`) in a new list. -* Save this second list to a text file. +1. Create a list of 5 strings that are first and last names, e.g. `'Jon Doe'`. +2. Use a list comprehension (a single-line command) to get the first initial from each name and store each string (e.g. `'J'`) in a new list. +3. Repeat but store both the first and last initial (e.g. `'JD'`) in a new list. +4. Save this second list to a text file. -**5.** Reading files, sets, and saving files. +#### E. Reading files, sets, and saving files -* Download this text file of past [World Series winners](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/world_series_winners.txt). -* Read in the lines of the file to a list, so that each line is an element of the list. -* Create a new list with just those list elements that contain 'New York'; print that list, making sure there's not an extra newline character between each line. -* Use the set class to convert the list of all World Series winners to a list of unique values. -* Write the output to a new file. +1. Download this text file of past [World Series winners](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/world_series_winners.txt). +2. Read in the lines of the file to a list, so that each line is an element of the list. +3. Create a new list with just those list elements that contain 'New York'; print that list, making sure there's not an extra newline character between each line. +4. Use the `set` class to convert the list of all World Series winners to a list of unique values. +5. Write the output to a new file. diff --git a/assignments/assignment5.md b/assignments/assignment5.md index d1d2ebf..66975ed 100644 --- a/assignments/assignment5.md +++ b/assignments/assignment5.md @@ -2,31 +2,32 @@ Complete the tasks below. Please turn in a single Jupyter notebook named `5_first_last.ipynb` (substitute your first and last name). Please run Kernel > Restart & Run All on your notebook before turning in. -**1.** Regular expressions in the command line. +#### A. Regular expressions in the command line -* Download [scripps_pier_20151110.csv](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/scripps_pier_20151110.csv), then Use regular expressions to get information from the file as follows: -* Get all the rows with data from 11/10/15 using grep. How would you keep the header line also? (Hint: to get an "or", use `\|` in grep or `|` in egrep.) +Setup: Download [scripps_pier_20151110.csv](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/scripps_pier_20151110.csv) to your directory `~/sio209/data`, if you haven't already. You will use regular expressions to get information from the file. + +1. Get all the rows with data from 11/10/15 using grep. How would you keep the header line also? (Hint: to get an "or", use `\|` in grep or `|` in egrep.) * Get all the rows where the third column (pressure) begins with a "3" using grep. (Hint: if you want to match a period `.` and not any character, you can escape it with `\.`.) * Change the year "15" to "2015" using sed. (Reminder: sed syntax is `'sed s/find/replace/'`. Hint: if you want to match a forward slash in sed, you can escape it with a backslash like `\/`.) -* Copy your shell code (e.g., grep, sed) to a Markdown cell in your notebook. +* Copy your shell code (e.g., grep, sed) to a Markdown cell in your notebook. + +#### B. Regular expressions in Python -**2.** Regular expressions in Python. +Setup: Import the `re` module. -* Import the `re` module. -* Create the string 'The quick brown fox jumps over the lazy dog'. -* Use `re.match` or `re.search` to see if the string starts with 'The'. -* Use `re.search` to find the first instance of a lowercase letter followed by an 'o'. -* Use `re.findall` to find all instances of a lowercase letter followed by an 'o'. -* Use `re.sub` to change the last word to an animal of your choice. +1. Create a string variable with the value 'The quick brown fox jumps over the lazy dog'. +2. Use `re.match` or `re.search` to see if the string starts with 'The'. +3. Use `re.search` to find the first instance of a lowercase letter followed by an 'o'. +4. Use `re.findall` to find all instances of a lowercase letter followed by an 'o'. +5. Use `re.sub` to change the last word to an animal of your choice. -**3.** Numpy basics. +#### C. Numpy basics -* Create an array of ten random floats ranging from 0 to 10. -* Create a second array of ten integers from 0 to 9. -* Use 'fancy indexing' with masks to find the values in your first array that are greater than their corresponding values in the second array (e.g., if the first element in array 1 is greater than the first element in array 2). +1. Create an array of ten random floats ranging from 0 to 10. Create a second array of ten integers from 0 to 9. +3. Use 'fancy indexing' with masks to find the values in your first array that are greater than their corresponding values in the second array (e.g., if the first element in array 1 is greater than the first element in array 2). -**4.** Pandas basics. +#### D. Pandas basics -* Read in the csv file scripps_pier_20151110.csv as a Pandas DataFrame with the index as the Date column and the column headers from the first row of that file. -* Print all the date/times from 11/10/15. Hint: you can get the indexes from the DataFrame, convert it to a list, then iterate over that list (using a for loop or list comprehension), and then use `re.match` or `re.search`. -* Print all the rows from 11/10/15. Hint: you can use your answer to the exercise you just did but use `.loc` indexing. +1. Read in the csv file scripps_pier_20151110.csv as a Pandas DataFrame with the index as the Date column and the column headers from the first row of that file. +2. Print all the date/times from 11/10/15. Hint: you can get the indexes from the DataFrame, convert it to a list, then iterate over that list (using a for loop or list comprehension), and then use `re.match` or `re.search`. +3. Print all the rows from 11/10/15. Hint: you can use your answer to the exercise you just did but use `.loc` indexing. diff --git a/data/world_series_winners.txt b/data/world_series_winners.txt index 62dfdba..2b891a8 100644 --- a/data/world_series_winners.txt +++ b/data/world_series_winners.txt @@ -113,3 +113,4 @@ San Francisco Giants Kansas City Royals Chicago Cubs Houston Astros +Boston Red Sox diff --git a/lessons/lesson10.ipynb b/lessons/lesson10.ipynb index a89afd4..f2c21b7 100644 --- a/lessons/lesson10.ipynb +++ b/lessons/lesson10.ipynb @@ -456,12 +456,33 @@ ], "source": [ "# range of integers\n", - "np.arange(0, 10, 1) # arguments: start, stop, step" + "y = np.arange(0, 10, 1) # arguments: start, stop, step\n", + "y" ] }, { "cell_type": "code", "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dtype('int64')" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "y.dtype" + ] + }, + { + "cell_type": "code", + "execution_count": 19, "metadata": { "scrolled": true }, @@ -472,44 +493,61 @@ "array([0., 1., 2., 3., 4., 5., 6., 7., 8., 9.])" ] }, - "execution_count": 18, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# specifying dtype as float\n", - "np.arange(0, 10, 1, dtype=float) # arguments: start, stop, step" + "z = np.arange(0, 10, 1, dtype=float) # arguments: start, stop, step\n", + "z" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([ 0. , 0.41666667, 0.83333333, 1.25 , 1.66666667,\n", - " 2.08333333, 2.5 , 2.91666667, 3.33333333, 3.75 ,\n", - " 4.16666667, 4.58333333, 5. , 5.41666667, 5.83333333,\n", - " 6.25 , 6.66666667, 7.08333333, 7.5 , 7.91666667,\n", - " 8.33333333, 8.75 , 9.16666667, 9.58333333, 10. ])" + "dtype('float64')" ] }, - "execution_count": 19, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "z.dtype" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10.])" + ] + }, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# using linspace, both end points ARE included\n", - "np.linspace(0, 10, 25) # arguments: start, stop, N" + "np.linspace(0, 10, 11) # arguments: start, stop, N" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -519,7 +557,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -532,7 +570,7 @@ " [4, 4, 4, 4, 4]])" ] }, - "execution_count": 21, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -543,7 +581,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -556,7 +594,7 @@ " [0, 1, 2, 3, 4]])" ] }, - "execution_count": 22, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -567,20 +605,20 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[0.21790351, 0.4840567 , 0.39174336, 0.11154024, 0.48962668],\n", - " [0.37272256, 0.95519327, 0.74098321, 0.02237265, 0.1894465 ],\n", - " [0.53066752, 0.02652645, 0.83974895, 0.39797967, 0.05562534],\n", - " [0.0426899 , 0.0469346 , 0.93487514, 0.69308176, 0.42145235],\n", - " [0.40694171, 0.80407228, 0.79593929, 0.44186682, 0.90844878]])" + "array([[0.12880786, 0.60636065, 0.86974753, 0.28419983, 0.38860944],\n", + " [0.69805897, 0.16699759, 0.31276383, 0.44441055, 0.38253246],\n", + " [0.63838301, 0.79885951, 0.68377023, 0.00227035, 0.59627373],\n", + " [0.35434953, 0.9994197 , 0.35989762, 0.3030011 , 0.34821566],\n", + " [0.73796517, 0.93264766, 0.05262068, 0.93448082, 0.54141932]])" ] }, - "execution_count": 23, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -592,20 +630,20 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[-0.73573585, -1.28863767, 0.03734684, -0.35298938, 2.16146927],\n", - " [-0.95652825, -0.09480594, 0.26174355, 0.92217501, -0.67126123],\n", - " [ 1.1881133 , 1.00172589, 0.4464382 , 0.88498329, -0.34026905],\n", - " [ 0.92786809, 0.80057993, 0.14597156, 1.080325 , -0.36465814],\n", - " [ 1.21553285, -0.52391958, 1.22672597, 1.03187604, -0.83054119]])" + "array([[-1.35330802, 0.47324722, -2.13236995, -1.98684711, 0.2355745 ],\n", + " [ 0.68283338, -0.40993828, -0.19395475, 0.61798152, -0.65953511],\n", + " [-1.60418623, -0.37075073, -0.77192057, -0.4796445 , 0.41430006],\n", + " [-0.97440728, 0.56709255, -0.03393057, -0.45195756, -1.19625215],\n", + " [ 1.06405603, -1.55795632, 0.03915339, 0.97039133, -0.11478593]])" ] }, - "execution_count": 24, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -617,7 +655,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -628,7 +666,7 @@ " [0, 0, 3]])" ] }, - "execution_count": 25, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -640,7 +678,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -651,7 +689,7 @@ " [0., 0., 0.]])" ] }, - "execution_count": 26, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -663,7 +701,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -674,7 +712,7 @@ " [1., 1., 1.]])" ] }, - "execution_count": 27, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -686,7 +724,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -697,7 +735,7 @@ " [1, 1, 1]])" ] }, - "execution_count": 28, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -707,6 +745,96 @@ "np.ones((3,3), dtype=int)" ] }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[[1., 1., 1.],\n", + " [1., 1., 1.],\n", + " [1., 1., 1.]],\n", + "\n", + " [[1., 1., 1.],\n", + " [1., 1., 1.],\n", + " [1., 1., 1.]],\n", + "\n", + " [[1., 1., 1.],\n", + " [1., 1., 1.],\n", + " [1., 1., 1.]]])" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# three-dimensional\n", + "np.ones((3,3,3))" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[[[1., 1., 1.],\n", + " [1., 1., 1.],\n", + " [1., 1., 1.]],\n", + "\n", + " [[1., 1., 1.],\n", + " [1., 1., 1.],\n", + " [1., 1., 1.]],\n", + "\n", + " [[1., 1., 1.],\n", + " [1., 1., 1.],\n", + " [1., 1., 1.]]],\n", + "\n", + "\n", + " [[[1., 1., 1.],\n", + " [1., 1., 1.],\n", + " [1., 1., 1.]],\n", + "\n", + " [[1., 1., 1.],\n", + " [1., 1., 1.],\n", + " [1., 1., 1.]],\n", + "\n", + " [[1., 1., 1.],\n", + " [1., 1., 1.],\n", + " [1., 1., 1.]]],\n", + "\n", + "\n", + " [[[1., 1., 1.],\n", + " [1., 1., 1.],\n", + " [1., 1., 1.]],\n", + "\n", + " [[1., 1., 1.],\n", + " [1., 1., 1.],\n", + " [1., 1., 1.]],\n", + "\n", + " [[1., 1., 1.],\n", + " [1., 1., 1.],\n", + " [1., 1., 1.]]]])" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# four-dimensional\n", + "np.ones((3,3,3,3))" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -718,7 +846,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -727,7 +855,7 @@ "1" ] }, - "execution_count": 29, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -739,7 +867,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -748,7 +876,7 @@ "4" ] }, - "execution_count": 30, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -760,7 +888,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -769,7 +897,7 @@ "array([3, 4])" ] }, - "execution_count": 31, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -788,7 +916,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -797,7 +925,7 @@ "array([3, 4])" ] }, - "execution_count": 32, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -808,7 +936,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -817,7 +945,7 @@ "array([2, 4])" ] }, - "execution_count": 33, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -835,7 +963,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -845,7 +973,7 @@ " [ 3, 4]])" ] }, - "execution_count": 34, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -857,7 +985,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -868,7 +996,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -878,7 +1006,7 @@ " [ 3, -2]])" ] }, - "execution_count": 36, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -903,7 +1031,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -912,7 +1040,7 @@ "array([1, 2, 3, 4, 5])" ] }, - "execution_count": 37, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -924,7 +1052,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -933,7 +1061,7 @@ "array([2, 3])" ] }, - "execution_count": 38, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -951,7 +1079,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -960,7 +1088,7 @@ "array([ 1, -2, -3, 4, 5])" ] }, - "execution_count": 39, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -979,7 +1107,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -988,7 +1116,7 @@ "array([ 1, -2, -3, 4, 5])" ] }, - "execution_count": 40, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -999,7 +1127,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -1008,7 +1136,7 @@ "array([ 1, -3, 5])" ] }, - "execution_count": 41, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -1019,7 +1147,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -1028,7 +1156,7 @@ "array([ 1, -2, -3])" ] }, - "execution_count": 42, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -1039,7 +1167,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -1048,7 +1176,7 @@ "array([4, 5])" ] }, - "execution_count": 43, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -1066,7 +1194,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 48, "metadata": {}, "outputs": [], "source": [ @@ -1075,7 +1203,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -1084,7 +1212,7 @@ "5" ] }, - "execution_count": 45, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -1095,7 +1223,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -1104,7 +1232,7 @@ "array([3, 4, 5])" ] }, - "execution_count": 46, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -1122,7 +1250,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 51, "metadata": {}, "outputs": [ { @@ -1135,7 +1263,7 @@ " [40, 41, 42, 43, 44]])" ] }, - "execution_count": 47, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -1147,7 +1275,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -1158,7 +1286,7 @@ " [31, 32, 33]])" ] }, - "execution_count": 48, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -1170,7 +1298,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -1181,7 +1309,7 @@ " [40, 42, 44]])" ] }, - "execution_count": 49, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -1202,7 +1330,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -1213,7 +1341,7 @@ " [30, 31, 32, 33, 34]])" ] }, - "execution_count": 50, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -1225,25 +1353,46 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 55, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([11, 22, 34])" + "array([11, 22, 33])" ] }, - "execution_count": 51, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "col_indices = [1, 2, -1] # remember, index -1 means the last element\n", + "col_indices = [1, 2, 3]\n", "A[row_indices, col_indices]" ] }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(11, 22, 33)" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# equivalent to\n", + "A[1,1], A[2,2], A[3,3]" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1253,7 +1402,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 57, "metadata": {}, "outputs": [ { @@ -1262,7 +1411,7 @@ "array([0, 1, 2, 3, 4])" ] }, - "execution_count": 52, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -1274,7 +1423,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -1283,7 +1432,7 @@ "array([0, 2])" ] }, - "execution_count": 53, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -1295,7 +1444,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 59, "metadata": {}, "outputs": [ { @@ -1304,7 +1453,7 @@ "array([0, 2])" ] }, - "execution_count": 54, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } @@ -1324,7 +1473,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -1334,7 +1483,7 @@ " 6.5, 7. , 7.5, 8. , 8.5, 9. , 9.5])" ] }, - "execution_count": 55, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } @@ -1346,7 +1495,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -1357,7 +1506,7 @@ " True, False])" ] }, - "execution_count": 56, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } @@ -1370,7 +1519,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -1379,7 +1528,7 @@ "array([5., 6., 7., 8., 9.])" ] }, - "execution_count": 57, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -1389,7 +1538,27 @@ ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([5.5, 6. , 6.5, 7. , 7.5, 8. , 8.5, 9. , 9.5])" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x[x > 5]" + ] + }, + { + "cell_type": "markdown", "metadata": {}, "source": [ "#### Linear algebra\n", @@ -1399,7 +1568,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 64, "metadata": {}, "outputs": [ { @@ -1408,7 +1577,7 @@ "array([0, 1, 2, 3, 4])" ] }, - "execution_count": 58, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -1420,7 +1589,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 65, "metadata": {}, "outputs": [ { @@ -1429,7 +1598,7 @@ "array([0, 2, 4, 6, 8])" ] }, - "execution_count": 59, + "execution_count": 65, "metadata": {}, "output_type": "execute_result" } @@ -1440,7 +1609,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 66, "metadata": {}, "outputs": [ { @@ -1449,7 +1618,7 @@ "array([2, 3, 4, 5, 6])" ] }, - "execution_count": 60, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } @@ -1460,7 +1629,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -1473,7 +1642,7 @@ " [40, 41, 42, 43, 44]])" ] }, - "execution_count": 61, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -1484,7 +1653,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 68, "metadata": {}, "outputs": [ { @@ -1497,7 +1666,7 @@ " [4300, 4510, 4720, 4930, 5140]])" ] }, - "execution_count": 62, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } @@ -1508,7 +1677,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 69, "metadata": {}, "outputs": [ { @@ -1517,7 +1686,7 @@ "array([ 30, 130, 230, 330, 430])" ] }, - "execution_count": 63, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } @@ -1528,7 +1697,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 70, "metadata": {}, "outputs": [ { @@ -1537,7 +1706,7 @@ "30" ] }, - "execution_count": 64, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -1555,7 +1724,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 71, "metadata": {}, "outputs": [], "source": [ @@ -1565,7 +1734,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 72, "metadata": {}, "outputs": [ { @@ -1578,7 +1747,7 @@ " [40, 41, 42, 43, 44]])" ] }, - "execution_count": 66, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } @@ -1589,7 +1758,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 73, "metadata": {}, "outputs": [ { @@ -1602,7 +1771,7 @@ " [4]])" ] }, - "execution_count": 67, + "execution_count": 73, "metadata": {}, "output_type": "execute_result" } @@ -1613,7 +1782,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 74, "metadata": {}, "outputs": [ { @@ -1626,7 +1795,7 @@ " [4300, 4510, 4720, 4930, 5140]])" ] }, - "execution_count": 68, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -1637,7 +1806,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 75, "metadata": {}, "outputs": [ { @@ -1650,7 +1819,7 @@ " [430]])" ] }, - "execution_count": 69, + "execution_count": 75, "metadata": {}, "output_type": "execute_result" } @@ -1668,7 +1837,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -1677,7 +1846,7 @@ "2.0" ] }, - "execution_count": 70, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } @@ -1688,7 +1857,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 77, "metadata": {}, "outputs": [ { @@ -1697,7 +1866,7 @@ "(1.4142135623730951, 2.0)" ] }, - "execution_count": 71, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" } @@ -1708,7 +1877,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 78, "metadata": {}, "outputs": [ { @@ -1717,7 +1886,7 @@ "0" ] }, - "execution_count": 72, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } @@ -1728,7 +1897,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 79, "metadata": {}, "outputs": [ { @@ -1737,7 +1906,7 @@ "4" ] }, - "execution_count": 73, + "execution_count": 79, "metadata": {}, "output_type": "execute_result" } @@ -1748,7 +1917,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 80, "metadata": {}, "outputs": [ { @@ -1757,7 +1926,7 @@ "10" ] }, - "execution_count": 74, + "execution_count": 80, "metadata": {}, "output_type": "execute_result" } @@ -1775,7 +1944,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 81, "metadata": {}, "outputs": [ { @@ -1797,7 +1966,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 82, "metadata": {}, "outputs": [ { @@ -1807,7 +1976,7 @@ " [3, 4]])" ] }, - "execution_count": 76, + "execution_count": 82, "metadata": {}, "output_type": "execute_result" } @@ -1819,7 +1988,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 83, "metadata": {}, "outputs": [ { @@ -1844,7 +2013,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 84, "metadata": {}, "outputs": [ { @@ -1871,7 +2040,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 85, "metadata": {}, "outputs": [ { @@ -1881,7 +2050,7 @@ " [ 9, 16]])" ] }, - "execution_count": 79, + "execution_count": 85, "metadata": {}, "output_type": "execute_result" } @@ -1891,6 +2060,28 @@ "M" ] }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 1, 16],\n", + " [ 81, 256]])" + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# another way to square a matrix\n", + "M ** 2" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1956,7 +2147,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 87, "metadata": {}, "outputs": [], "source": [ @@ -1974,7 +2165,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 88, "metadata": {}, "outputs": [], "source": [ @@ -1983,7 +2174,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 89, "metadata": { "scrolled": true }, @@ -2070,7 +2261,7 @@ "4 11/10/15 1:17 22.316 3.471 33.199 19.95" ] }, - "execution_count": 82, + "execution_count": 89, "metadata": {}, "output_type": "execute_result" } @@ -2081,7 +2272,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 90, "metadata": {}, "outputs": [], "source": [ @@ -2090,7 +2281,7 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 91, "metadata": { "scrolled": false }, @@ -2179,7 +2370,7 @@ "11/10/15 1:17 22.316 3.471 33.199 19.95" ] }, - "execution_count": 84, + "execution_count": 91, "metadata": {}, "output_type": "execute_result" } @@ -2190,7 +2381,7 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 92, "metadata": {}, "outputs": [ { @@ -2293,7 +2484,7 @@ "max 22.426000 3.712000 33.206000 20.19000" ] }, - "execution_count": 85, + "execution_count": 92, "metadata": {}, "output_type": "execute_result" } @@ -2323,7 +2514,7 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 93, "metadata": { "scrolled": true }, @@ -2338,7 +2529,7 @@ "Name: 11/10/15 1:42, dtype: float64" ] }, - "execution_count": 86, + "execution_count": 93, "metadata": {}, "output_type": "execute_result" } @@ -2349,7 +2540,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 94, "metadata": { "scrolled": false }, @@ -2371,7 +2562,7 @@ "Name: temp (C), dtype: float64" ] }, - "execution_count": 87, + "execution_count": 94, "metadata": {}, "output_type": "execute_result" } @@ -2389,7 +2580,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 95, "metadata": { "scrolled": true }, @@ -2405,7 +2596,7 @@ "Name: 0, dtype: object" ] }, - "execution_count": 88, + "execution_count": 95, "metadata": {}, "output_type": "execute_result" } @@ -2416,7 +2607,7 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 96, "metadata": {}, "outputs": [ { @@ -2430,7 +2621,7 @@ "Name: 0, dtype: object" ] }, - "execution_count": 89, + "execution_count": 96, "metadata": {}, "output_type": "execute_result" } @@ -2441,7 +2632,31 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 97, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "chl (ug/L) 22.307\n", + "pres (dbar) 3.712\n", + "sal (PSU) 33.199\n", + "temp (C) 19.950\n", + "Name: 11/10/15 1:42, dtype: float64" + ] + }, + "execution_count": 97, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2.loc['11/10/15 1:42']" + ] + }, + { + "cell_type": "code", + "execution_count": 98, "metadata": { "scrolled": false }, @@ -2457,7 +2672,7 @@ "Name: Date, dtype: object" ] }, - "execution_count": 90, + "execution_count": 98, "metadata": {}, "output_type": "execute_result" } @@ -2468,7 +2683,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 99, "metadata": {}, "outputs": [ { @@ -2482,7 +2697,7 @@ "Name: Date, dtype: object" ] }, - "execution_count": 91, + "execution_count": 99, "metadata": {}, "output_type": "execute_result" } @@ -2493,7 +2708,7 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 100, "metadata": {}, "outputs": [ { @@ -2507,7 +2722,7 @@ "Name: Date, dtype: object" ] }, - "execution_count": 92, + "execution_count": 100, "metadata": {}, "output_type": "execute_result" } @@ -2525,7 +2740,7 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 101, "metadata": { "scrolled": true }, @@ -2541,7 +2756,7 @@ "Name: Date, dtype: datetime64[ns]" ] }, - "execution_count": 93, + "execution_count": 101, "metadata": {}, "output_type": "execute_result" } @@ -2553,7 +2768,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 102, "metadata": { "scrolled": true }, @@ -2564,7 +2779,7 @@ "pandas.core.series.Series" ] }, - "execution_count": 94, + "execution_count": 102, "metadata": {}, "output_type": "execute_result" } @@ -2573,6 +2788,26 @@ "type(time)" ] }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dtype('\n", " \n", " Date\n", - " Chlorophyll\n", - " Pressure\n", - " Salinity\n", - " Temperature\n", + " chlorophyll\n", + " pressure\n", + " salinity\n", + " temperature\n", " \n", " \n", " \n", @@ -2713,7 +2949,7 @@ "" ], "text/plain": [ - " Date Chlorophyll Pressure Salinity Temperature\n", + " Date chlorophyll pressure salinity temperature\n", "0 11/10/15 1:42 22.307 3.712 33.199 19.95\n", "1 11/10/15 1:35 22.311 3.588 33.201 19.94\n", "2 11/10/15 1:29 22.305 3.541 33.200 19.95\n", @@ -2721,27 +2957,28 @@ "4 11/10/15 1:17 22.316 3.471 33.199 19.95" ] }, - "execution_count": 97, + "execution_count": 106, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# index is numerical starting from 0\n", "data1.head()" ] }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 107, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Index(['Date', 'Chlorophyll', 'Pressure', 'Salinity', 'Temperature'], dtype='object')" + "Index(['Date', 'chlorophyll', 'pressure', 'salinity', 'temperature'], dtype='object')" ] }, - "execution_count": 98, + "execution_count": 107, "metadata": {}, "output_type": "execute_result" } @@ -2752,14 +2989,14 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 108, "metadata": { "scrolled": false }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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8WQT7+/Fre++l6VQ35Q2nWKAr873iTHdFLseWYHxS3zYwuRVN7CltAGBFmuOei8Ui3HPhbA6daGFLYY3HYlRKjW5jbhUFVc3cf9lcAvwsTAsP4ta1qbywr4KSujYOVWkx35ucrbn8UkR+YX88BrwL7HdvaO4TGxZIUnQIuRVN7C1tJCEiiMSokQ8Qu2Z5IknRIfxm6zEPRqmUGklPr5VH3zzMvOkRfHhZYv/1uy7IIMDPwq+3HqVAk4tXOXsSZc6A5z3As8aY99wQj8csTookr7IZYwxZqdGMtoQnwM/CXetm8e3/5LOrpJ5V6bEejFQpNdS/9lRQVNfGE7etxG/AyvuEiGBuWZ3KX7YfpyLjFNPCAomPCPJipFOXszWXp/oewCtAy1j3THSLE6Mormuj5GT7oMWTI/noqlRiwwK196KUl3X29PKzTYdZlhLNZQunD3v9sxdmYBHhvaMn7SfQ+vzab5/k7LDYVhGJFJFYbMNhfxSRn7o3NPdanHx6BskKJ5JLSKAfnz43nbcO1fR3t5VSntPU3s3TH5Rw3a/ep7Kpgwcun+cwccyMCuGm7GQAXZnvRc4W9KOMMc3A9cAfjTErgfWj3SAiwSKyU0T2i0ieiHzHQZv7RSRfRA6IyGYRSRv/X+HMLLZPT/SzSP/ssbHcfk46YYF+/PZt7b0o5Sm7Sur5wrN7WfWDTXzzxTwM8KMblnDenGkj3vO5i2YTFx7IeXPiPBeoGsTZmou/iMwEbga+5uQ9ncAlxphWEQkAtonIq8aY7QPa7AWyjTHtIvI54GHgo84GfzbiI4KYERlMXEQgIYHOLbCKCg3g42tSeXJbMV+6bB6p00LdHKVSU1vpyXY+9sR2woP8uWVVCjdlp/TP9hxNckwou762XofEvMjZ5PJdbMccbzPG7BKRDODIaDcY26KQvtVMAfaHGdJmy4APtwO3OhmPS3zrwwsJC3L2LbC5c10GT71/nHv/tpfPXTibSxckEOB3pjO6lVKjeSP/BL1Ww0v/fR5p08LGda8mFu9y6ierMeYf2Dau7Pu4CLhhrPtExA/YDcwBfmWM2TFK8zuAV52Jx1WuXDJz3PdMjwzm+9ct5qdvHOaev+wmISKIm7NT+OiqFFJitSejlCttKqhm3vSIcScW5X3OFvQfthf0A+y1kToRGbOXYYzpNcYsB5KB1SLicOGl/XNlA4+M8PrdIpIjIjm1tbXOhOxWN2ensO0rF/P727NZnBTFr7ce5YJHtnDnUzm0dPjsUTdKTSiN7V3sKmlg/cIEb4eizoCz4zmX2wv6V2NbnT8X2z5jTjHGNAJbgQ1DXxOR9djqONcYYzpHuP8JY0y2MSY7Pj7e2S/rVv5+FtYvnM4fPrWKd79yCfdePIcthTX87/MHdJsYpVxga2EtvVbD+gXDpxuric/Z5BJg//ND2BZQ1o91g4jEi0i0/XkIttllh4a0yQIex5ZYfHZvlaToEO6/fB4PbpjPqwdP8Pg7Rd4OSSmf92ZBNfERQSxLdrzvn5rYnE0u/xGRQ9iGrjaLSDzQMcY9M4EtInIA2AW8aYx5WUS+KyLX2Ns8AoQD/xCRfSLy0hn8HSaMO9fN4qqlM3n4tUO8d7TO2+Eo5bO6eqy8XVjL+gUJWCxamPdFzhb0HxSRHwHNxpheEWkHrh3jngNAloPr3xzwfNS1Mr5GRHj4hqUUnmjh3mf38vK955MYHeLtsJTyOduLTtLa2aNDYj7M2YJ+KPB54Df2S4nYejFqiLAgfx6/bSVdPVY+99c9dPb0ejskpXzOpoJqggMsugjShzk7LPZHoAs41/5xOfB9t0Q0CcyOD+fHNy1jf1kjP3q10NvhKOVTjDFsyq9mXWa8niDpw5xNLrONMQ8D3QDGmFOADoSOYsPiGVy5eAavHRz9BMttR+q47Kdv09rZ46HIlJrY8quaqWzq4DIdEvNpziaXLvuMLwMgIrOxbe+iRrE8JZrKpg4a2rpGbLOpoJojNa3sLD7pwciUmrg25dcgApcs0PUtvszZ5PIt4DUgRUT+CmwG/tdtUU0Si+ybY+aPsovywYomALYXjTm7W6kpYVNBNStSY4gL13NYfNmYyUVsG/QcwrYj8qeAZ7FtNrnVrZFNAgsTbdt951c6Ti69VtOfeLYXac9FqaqmU+RWNOkssUlgzKnIxhgjIi/Yt9nf6IGYJo3YsEBmRgWTV9nk8PXiulbau3pJiQ3hYEUTzR3dRAYHOGyr1FSwqcC2lvoy3fLF5zk7LLZdRFa5NZJJauHMyBGHxQ5W2K5/5rxZWA3klOjQmJra3iqoJn1aKLPjw70dijpLziaXi7ElmGP2g71y7Svv1RgWJUZyrLaNju7h610OVjQR5G/hpuwUAv0sWndRU5oxhn1ljayZNU23y58EnD3M5Eq3RjGJLUyMotdqOHSiheUpg/dIOljZxIKZkYQH+bM8NVrrLmpKK284RUN7N0uSnTsZVk1so/Zc7EcVfxHbDsgbgApjzPG+h0ci9HGLRijqW62GvIpmFifZXl+bMa2/7qKUr/vdO0U8+ubhcd2Ta585uVSTy6Qw1rDYU9i2ecnF1nv5idsjmmSSY0KICPYfVtQvrW+npbOHxfbpymszYrXuoiaN53eX8+S2Yrp7rU7fc6C8iQA/Yd6MCDdGpjxlrOSy0BhzqzHmceBGYJ0HYppURMRhUf+gPdn0nQe+IjVG6y5qUui1GopPttHa2cO+skan78utaGT+jEiC/HXLl8lgrOTSP0ZjjNH9Sc7QosQoDlW10Gs9fYjYwYpmAvyEudNtv6UFB/hp3UVNCpWNp+jqsfVY3j3s3MmxxhgOlDdpvWUSGSu5LBORZvujBVja91xERl52rgZZmBjJqe5eiuva+q/lVTYxb0YEgf6n/wm07qImgyL793lIgB/vOnmu0fGT7bR09LA0SZPLZDFqcjHG+BljIu2PCGOM/4DnkZ4K0tf1FfX76i7GGA5WNPXXW/po3UVNBkW1rQB8JCuJ/WWNNJ0a+5elAxWDh4mV73N2nYs6C3MSwgn0s/TXXSqbOmho72bRkP9IK1JjCPTXuovybcV1bUQE+/OR5YlYDXxwbOyh3tzyRgL9Lf3DxMr3aXLxgAA/C3NnhPdPR84tt/+Wlji48xcc4EdWitZdlG8rqm0jIy6MFWkxhAX6se3o2HWXA+W2NV8Dh4mVb9N/SQ9ZODOSvMpmjDHkVTbhZxEWzBw+sqh1F+XrimpbyYgPJ8DPwtqMabx7ZPS6i9VqGybWesvkosnFQxYlRlHf1kV1cycHK5rITAh3eMre2oxpWndRPutUVy+VTR1kxIUBcH5mHMdPtlNW3z7iPUV1bbR19epMsUlGk4uHLBxQ1D9Y2dx/1stQWanRWndRPqtvRuSseFtyWZcZBzBq7yW3wrYWRlfmTy6aXDykbwhsa2EttS2d/du+DBUc4MfylGh2jFF3OdHUwZ8/KMEYM2o7pTypqM42Uywjzrar8ez4cGZGBY9ad8ktbyY4wMIc3Ql5UtHk4iHhQf6kTwvlhX0VwOhTLrPTYsirbOZU1/CdlPv86f0SvvFiHnkjHESmlDcU19p6LulxoYBth4rz58Tx3tGTgxYRD5Rb0ciixCj8/fTH0WSi/5oetCgxipaOHkRsBf6RrEyLocdqOFA+8tYZfTWZzfbDlZSaCIrq2kiMCiY08PSG6+dnxtF0qrt/Y8qBeq2GgxXNLNFi/qSjycWD+uouGXFhhAWNfNpBVmoMALtLGxy+3tHdywH7dObNh6pdHKVSZ66orq2/3tLnvDm2usu2I8OHxo7VtnKqu1frLZOQJhcP6ksuY61Cjg0LJCM+jD3HHSeX3IomunqtZKVGc6C8iermDpfHqtR4GWNs05DjBtdO4sKDWJQY6bCo3/dLkiaXyUeTiwctTozC3yJkDTk0zJGVqTHsKW10WLDfWWwbEvvKhvmADo2piaGutYuWjh4yhvRcwDY0tqe0gbbOwfvf5pY3Ehbox6w4LeZPNppcPCg+IojXvriOj69JG7PtyrQY6tu6KDk5fH1ATkk9mQnhrJkVS3JMCJsLdGhMeV//NOS44cll3Zx4unsNL+6rHHT9QEUTixKj8LPoscaTjSYXD5uTEOHUFhcr0+x1lyFDY1arIed4A9npsYgI6xdMZ9vRulFnlinlCX0bVs52MKU4Oz2GedMj+H//zuW2J3eQX9lMd6+V/MpmXTw5SWlymaBmx4cTGew/LLkcrmmhpaOHVem25HPpggQ6e6y85+TW5kq5S3FdG4H+FhKjQ4a9Fhzgx0v3nsc3rl5IbkUTV/3yXe5+OofOHqvWWyYpTS4TlMUirEiLGVbU31Vi+3hVeiwAa2ZNIzzIX2eNqbNmtZr+Q75GU1LX5rDdsdo20qeFjjjEFeTvxx3nz+LtL1/MXesyeO+obaHw0uSxa5DK94w8H/YsiUgw8A4QZP86zxtjvjWkTRDwNLASOAl81BhT4q6YfM2K1BgePXyYplPdRIUEALCruJ4ZkcEkx9h+Owz0t3Dh3Hg2FdTwkNVg0bFr5QRjDD96rZCDFU3UtXZysq2LhrYu/P2E//z3+WSOsPV94YkWPvSLd/nsBRn8r31CSZ+iulbmJoy9ZX5UaAD/70MLuG1tGodOtDis0Sjf586eSydwiTFmGbAc2CAia4e0uQNoMMbMAR4FfuTGeHzOyrQYjGHQOeQ5JfVkp8cgcjqJXLoggdqWToeL1JRypLq5k9++fYzKxlMkx4Ry6fwE7r4ggwA/C9/bWDDitkI/eKWAXqvhz9uP0zpg5ldPr5XSk+3D1riMJiU2lMsWTj/rv4uamNyWXIxNq/3DAPtj6HfstcBT9ufPA5fKwJ+aU9yylGgscrqoX9F4isqmjv4hsT4Xz0vAIuisMeW0wuoWAH5w/RJ+/8lsfnjDUv53w3zuuzSTdw7XsqVw+PT2tw/X8vbhWq5dnkhLRw/P7Srrf62s4RQ9VtO/G7JSbq25iIifiOwDaoA3jTE7hjRJAsoAjDE9QBMwzcHnuVtEckQkp7Z27IOHJovwIH/mz4jsr7v0bfmSbS/m94kJC2RlWgybdL2LctLhE7bkMvTkx9vPSScjLozvv1wwqK7SazX8YGMBadNCefjGpaxOj+XJbcX09NraFPdtWDmOnoua3NyaXIwxvcaY5UAysFpEFg9p4qiXMqw/box5whiTbYzJjo+Pd0eoE9bKtBj2ljbQazXsLK4nwp5whlq/YDr5Vc1UNp7yQpTK1xRWtxAfEURsWOCg64H+Fr5+9QKK6tp4+oOS/uvP5ZRRWN3CgxvmE+Tvx10XZFDReIpXD54AbKdPAsNW56upyyOzxYwxjcBWYMOQl8qBFAAR8QeiAD3IZICVaTG0dfVSeKKFnJIGVqTFOJyNc+kC29i1Do0pZxSeaGH+DMfF94vnJbAuM46fbz7CydZOWjt7+MkbhaxKj2HD4hkAXDo/gYy4MJ54pwhjDMdq24gJDSBmSLJSU5fbkouIxItItP15CLAeODSk2UvAJ+3PbwTeMnpAySB9iym3FNZQWN3Sv75lqNnxYWTEhfGzTUf443vFdHTrokrlWK/VcKSmZdiQWB8R4ZtXL6S9q5dHNx3mt1uPUdfaxdevWtg/kcRiEe5YN4vciiZ2FNdTXNeqs77UIO7sucwEtojIAWAXtprLyyLyXRG5xt7mSWCaiBwF7gcedGM8Pik5JoT4iCD+9H4JANlDivl9RIRffjyLzOnhfOc/+Vz0yFb+vP24U+sW1NRSVt9OR7eVeSMkF4DM6RHcuiaVZ3aU8sS7RVy7PJFlQ/bEu2FFMrFhgfzunSKKatvI0MO+1ADunC12wBiTZYxZaoxZbIz5rv36N40xL9mfdxhjbjLGzDHGrDbGFLkrHl8lIqxIjaa2pZMAP2HZKAvOFiVG8be7z+GZO9eQFBPCN144yMU/3sph+8wgpeD0TLG5IwyL9fni+rlEBAcgMGxNC9hW3d9+ThqbD9VQ09KpPRc1iK7Q9wF9Q2OLk6IICfQbs/25c+J4/p5zePozq2nt7OGR1wvdHaLyIYX9M8VG72nEhAXyh09l8/htK0lysKULwG1r0wiy75U3W2eKqQE0ufiAvuQydH3LaESEC+bG86lz03lOpQhJAAAXuUlEQVQzv5oj2ntRdoXVLaTGhg46LXIkK9NiuWhewoivTwsP4oaVyQA6LKYG0eTiA5YmR3PL6hRuzk4e972fOjedkAA/fvP2MTdEpnzR4RMjF/PPxJcum8t3r11EZoImF3WaJhcfEOBn4f+uX8ocJ/ZtGiomLJBbVqfy0r5KyhuGnw2jppbOnl6K6tqYN8N1iWBaeBC3n5OObq6hBtLkMgXcuW4WIvD7d4u9HYrysqLaNnqthnkOFuIq5UqaXKaAxOgQPrI8ib/tKuVka6e3w1Fe1DdzcLRpyEq5giaXKeKzF86ms8fav15GTU2FJ1rwt4hOG1Zup8llipiTEM4VC2fw1Pslg7ZKV1NL4YkWMuLDnDpqW6mzod9hU8jnLppNc0cPz+w47u1QlJcUVrdovUV5hCaXKWRZSjTnzZnG79/VvcemotbOHsobTjFvjMWTSrmCJpcp5t5LMqlp6Ry0nbozunqsOpXZx/UV8125xkWpkWhymWLWZkzjwrnx/GrLMZpOdTt93xPvHOOyn76j9Rof1ndAmKPzgJRyNU0uU9ADV8yj6VQ3j49j1f47h+s41d3L3tIGN0am3KmwuoWQAD+SYxzvE6aUK2lymYIWJ0VxzbJE/vBeMTXNHWO27+juZV9ZIwC7SjS5+KrD1S3MnR6OxcFhc0q5miaXKepLl8+lp9fw881Hxmy7t7SRrl4r/hZhV7EeFOqrCl28p5hSo9HkMkWlTQvj42tS+duuMorr2kZtu73oJBaBa5cnsbesge5ePYDM19S1dlLX2sW8Mc5wUcpVNLlMYfdekkmQv4UfvzH6eS87ik+yKDGKS+Yn0NFtJa+y2UMRKlfp3/ZFk4vyEE0uU1h8RBB3nj+LjQeqyC1vctimo7uXvaWNrJkVy6p027kyOSU6NOZr+maK6Z5iylM0uUxxd12QQWxYID/bdNjh6/vLGunssbImYxoJkcGkTQtllyaXs/bWoWqeeMdzZ+wUVrcQHRpAfESQx76mmto0uUxxEcEBfGJNKlsKa6hoPDXs9R3F9YjAavspmNlpseSUNGCM8XSok8qT24r58euHXbJTQm55E+1dI68/sloNWw7VsjI1Rs9cUR6jyUVxc3YKBnhuV9mw17YXnWTBjEiiQgMAWJUew8m2LorGmASgRmaMIa+yma5eK7kVjocjndHe1cNXnj/Ahx/bxvc3FozYbnvxSU40d3BtVtIZfy2lxkuTiyIlNpQLMuN5LqeMngEzwbp6rOwpbWBNRmz/tWx7D0brLmeusqmDxnbb7gg5Z7hu6GBFE1f/chvP7S4jbVooL+6tGHH3hBf3VhIW6MdlC6afccxKjZcmFwXALatTqWrq4O3Dtf3XDpQ30tFtZW3GtP5rs+PDiA0L1MWUZyHP3lsJ8JNxJ2mr1fD7d4u4/tfv09bZw1/vWMNPb15OW1cv/9lfOax9R3cvrxys4opFMwgJ9HNJ/Eo5Q5OLAuDSBQnERwTx7M7S/mvbi04Cp+stACJCdlqM9lzOQl5lMyJw5eKZ5BxvwGp1vn71yBuFfH9jARfMjefV+y7g3DlxrEiNZt70iEH/dn22FtbQ0tGjQ2LK4zS5KAAC/CzcnJ3MW4dqqGqyFfZ3FNczf0YEMWGBg9quSo+l5GQ7NS1jbx2jhsurbCYjLox1mXE0nermWG2rU/cZY/j3ngoumZ/A725fSaz930VEuGV1CgfKmzg4pIbzwt5K4sKDOG/2NEefUim30eSi+n1sVSpWA8/tKqe710pOScOgIbE+2f3rXXRo7EzkVzaxKDGKVfYeobNDjIdOtHCiuYMNi2YMm/V1XVYyQf6WQb2XpvZu3jpUw4eXzcTfT/+rK8/S7zjVLyU2lHWZcfx9Vyn7yho51d3Lmlmxw9otSowiOMDi1vUuXT3WSdkzamjrorKpg0WJkaRNCyUuPJCc4869j1sKawC4cF78sNeiQgO4aulMXtxXSZu9sP/qwSq6eq18ZLkOiSnP0+SiBvn46lQqmzp45DXbljCrHSSXQH8LWSkxbu25PPbWEVY/tJm7ns5hzyTa5r9v65xFiVH2+lWs0+/j1sJaFs6MZHpksMPXP746ldbOHl4+YCvsv7CvgllxYSxNjnJN8EqNgyYXNcj6hdOJCw9iZ0k9c6eHMy3c8YruVekx5FU2ue3wsLcP1zI9MoidxfVc/+v3+ejjH7ClsMbnF2/mVdpqIosSbQd2ZafHUFrfPubRB80d3ew+3sBFDnotfVamxZCZEM4zO8uoajrFjuJ6PrI8SRdOKq/Q5KIGCfCzcFN2MgBrZo1cBM5Oj8VqcMvhYa2dPRysbObm7BTef/ASvn7VAkrr2/n0H3fx6KaxjwiYyPIqm0mMCu6fJNG/buj46O/jtiN19FoNF81LGLGNiPDxNansL2vkR68ewhi4dnmi64JXahzcllxEJEVEtohIgYjkich9DtpEich/RGS/vc2n3RWPct7HV6cSHuTP5YtGXnSXlRqNReCNvGq6ely7Bf+e4w30Wg2rZ8USFuTPnesyePuBi1mVHsOb+dUu/VquZozhyW3F/T2UofIqm1iYeHqYalFipFP1q62FNUQE+7MiNXrUdtdlJRHkb+GFfZUsT4kmPS5s/H8JpVzAnT2XHuBLxpgFwFrg8yKycEibzwP5xphlwEXAT0QkEOVVKbGh5H77ctZljjwEExEcwAVz4/nz9uOsemgTX3n+AO8eqR20wv9M7Syux88irEiN6b8W6G/hnNlxFJ5odttQnCv8bVcZ33s5n+/8J3/Ya+1dPRTVtfUPiYGtp7g8JZrdo/RcjDFsLazlgsz4MWd9RYcGctWSmQB8RHstyovcllyMMVXGmD325y1AATB02ooBIsQ2KBwO1GNLSsrLnBmnf+K2bJ78ZDaXzE9gY24Vtz25k7X/99aI2/c7a2dxPYuToggL8h90PSs1Gqux7RwwER2rbeW7/8knLNCPncX1HD85eP+1gqoWjGFQcgHbuqG8yub+WV5D5Vc1U9PSOWq9ZaC7L8zgnIxpXKuzxJQXeaTmIiLpQBawY8hLjwELgEogF7jPGKPHHPqIQH8Lly6YzqMfXU7O19fz+G0rAcP3N+afceG9o7uXfWWNDqdAZ6XYhoT2lo4vuWw7UkfpyfYzisdZXT1W7vvbXoIDLDxz11osAs/vLh/UJr+vmJ80ePbWyrQYeq2GfWWO/15bC21b8jiaguzI/BmRPHv32mGLX5XyJLcnFxEJB/4JfNEYM/QIwyuAfUAisBx4TEQih7RBRO4WkRwRyamtrR36spoAggP8uGLRDO69JJMdxfVsO1p3Rp9nf1kjXb3WQVvO9IkODSQjPmxcySWnpJ7b/7CDT/1xJ509Z7e9/ZHqFh785wGHW9/85M1CDlY088MblrIsJZp1mfH8c3c5vQO2dsmrbCY6NIDEqMFTiVekxSAy8qLUrYU1LE6KJCHC8RRkpSYityYXEQnAllj+aoz5l4Mmnwb+ZWyOAsXA/KGNjDFPGGOyjTHZ8fHO/famvONjq1NIig7hkdcLz6j3stN+fswqB8kFICslhr2lzp0n09rZw/3P7ScqJICiujZ+u7Vo3PH0eWFvBdc89h5/21XGjb/9gHv+vJti+7ED7x+t44l3irhldSpXLJoBwE3ZyVQ2dfD+sdNJNq+ymUWJkcOGHCODA5g/I9LhYsqm9m72lDZy0dyRZ4kpNRG5c7aYAE8CBcaYn47QrBS41N5+OjAPOPOfAMrrgvz9uG99JgfKm3g9b/wzu3aW1DNvekT/+TFDZaVGc7Kti7L64QebDfXQxnzKGtp5/LZsrlo6k19tPdqfEJzV0d3L1/6dyxf/vo8lSVFs/fJF3H/ZXN45UstlP32bb754kP95bh+z4sL4xtUL+u9bv2A6USEB/CPHNjTW3Wul8EQLixIdL2jMTothz/GGYRMi3j1aa5+CrL9UKd/izp7LecBtwCUiss/++JCI3CMi99jbfA84V0Rygc3AV4wxZzaeoiaM67OSyIgP4ydvFA4aFhpLd6+V3ccbHNZb+vTNINtbNvq6kM0F1Ty7s4y7L8hg9axYvnn1QoL8LHzzxYNO96jK6tu56bcf8Ncdpdxz4WyeuWsN6XFhfOHSTLY+cBE3r0rhL9uPU9/WxS8+lkVo4OkJCMEBfly7PJHX8k7Q1N7N0ZpWunqtw4r5fbLTY2jr6uWQ/az7PlsLa4kKCWB5yuhTkJWaaPzHbnJmjDHbgFGnHBljKoHL3RWD8g5/Pwtfumwen39mDy/tr+C6rGSn7surbKa9q5fVoyzenDs9nNBAP/aWNo44G+pkaydf+Wcu82dEcP9lcwGYHhnMl6+Yx7deyuOl/ZUO723p6GZXST0fHDvJB0UnyatsJjzIn9/dns1lCwev+UmICOYH1y3hjvNn0XSqm8VJw3skN61M4ekPjvPSgUpCAmxnqYycXGwJ9SdvFHLV0kSWp0QxKy6ctw/Xsi4zTjeeVD7HbclFTW1XLp7BosRIHn3zCFctSSTQf+wfjjvs58esmhUzYht/PwtLk6NG3G/MGMPX/n2Q5lPd/PmO1QT5nz4g69a1afxzTznfe7mAi+YlEBUSgNVqePtILU+9X8K79lXwgX4WslKjue/STG5cmUxyTOiI8cyODx/xtcVJkcyfEcHzOWWsSIshJMCPWXGO2ydFh3B9VhJv5FezxT47LCzQj7auXi4eZVW+UhOVJhflFhaL8OXL5/HpP+3iuZwybl2bNuY9O4vryYgLG3NW1IrUGJ54p4iO7l6CAwafrvjS/kpeyzvBg1fOZ8HMwb0EP4vwg+uWcM1j23hoYz7zZ0Ty5+3HKa5rIz4iiLsvyGDdnDhWpMUM+7xnQkS4KTuF772cT21LJ/NnRuBnGbkz/9OPLqfXaiiqbWVvWSP7yxqpaelk/UI9nlj5Hk0uym0umhdPdloMP3mjkLjwQK5wcA5Jn16rYWdJff/q8tFkpcbQYzUcrGjqH07q+xyPvnmYRYmR3LUuw+G9i5Oi+OS56fzxvRIAVqRG88WPLefKxTOd6l2N10eWJ/J/rxRQ2dTBJQvG7oH4WYTM6RFkTo/g5uwUl8ejlKdoclFuIyL88IYl/Pcze7nnL3tYlxnHt69Z5HAoqfBECy0dPQ63+B8qK/X0YsqByeXVg1WUnGznN59YMWoP4cuXzyM+Ioh1c+JZ4ubt6KeFB3HpggRez6secaaYUpORVgmVW81JiODle8/n2x9eyL6yRjb87B3+79WCYfuD7Sy21VucSS5x4UGkxoYOqrsYY/j1lmNkxIf1rzUZSViQP/910Ry3J5Y+t65Nw88iZKeNXEtSarLR5KLczt/PwqfOm8VbX7qIjyxP4vG3izjvh2/x0zcPU9/WBdjWtyRFh4xaPB8oKzV60Er9d47UkV/VzD0XzMYySq/FG9ZlxrP/W5eTOT3C26Eo5TGaXJTHxEcE8chNy3jx8+exelYsv9h8hHN/uJlvv5THjqJ6p3otfbJSojnR3EFVk20x5a+3HGVGZDAfyZqYmzWGB+kItJpa9DteedyylGh+d3s2R6pbePydIv6y/Tg99vNbnLXCPsS0t7SRysgOdhTX8/WrFrilKK+UGj9NLsprMqdH8OOblnH/ZXPZXFDNdePodcyfEUmQv4U9xxsoOdlOdGgAt6xOdWO0Sqnx0OSivC4xOoTbzkkf1z2B/haWJEXxSm4VlU0d3Hdp5rDzX5RS3qNjCMpnZaVGU9nUQUiAH586N93b4SilBtDkonxW3yaWt6xO1YOxlJpgNLkon3XhvHg+c94s/uvi2d4ORSk1hA5SK58VGujPNz+80NthKKUc0J6LUkopl9PkopRSyuU0uSillHI5TS5KKaVcTpOLUkopl9PkopRSyuU0uSillHI5TS5KKaVcTowx3o5hXESkFjg+SpM4oM5D4biSr8YNvhu7r8YNvhu7r8YNvh97mDEm3lNf0OeSy1hEJMcYk+3tOMbLV+MG343dV+MG343dV+MGjX28dFhMKaWUy2lyUUop5XKTMbk84e0AzpCvxg2+G7uvxg2+G7uvxg0a+7hMupqLUkop75uMPRellFLeZozxygP4A1ADHBxy/SYgD7AC2aPcHwu8CRyx/xljvx4D/Bs4AOwEFo9w/0NAGdA65HoasNl+/1YgeSLFDoQCG4FD9q/1wwGvBQF/B44CO4B0H4n7AmAP0APcONG+X8aI/X4g337/ZiDNR+K+B8gF9gHbgIVueM9HbAd81f59WghcMcL9K+0xHgV+wemRFofviY/EPurXn8BxP2L/Pjpg/76LHimG/s81VgN3PbD9QFnh4E1cAMzD9oN9tDfxYeBB+/MHgR8NeBO+ZX8+H9g8wv1rgZkMTy7/AD5pf34J8OeJFDu2HxgX258HAu8CV9o//i/gt/bnHwP+7iNxpwNLgacZOblM1NgvBkLtzz/nQ+955IB21wCvueE9d9gOWAjsx/bL0CzgGODn4P6dwDmAAK8OiN3he+IjsY/69Sdw3JcD/vbnP3L0ng/7XGM1cOcD2w+VgyO8NtabWAjMtD+fCRTan28Ezh/Q7hgwfZTPMzS55GHvrdjf4OaJGru9zc+Bu+zPXwfOsT/3x7bgSyZ63AOu/YkRkstEj91+PQt4zwfjvgV41dXv+UjtsP0G/dUBH/d/3w64NhM4NCTGx0d7T3whdme+/kSO2379OuCvY8XgyzWX6caYKgD7nwn26/uB6wFEZDW2Ya7kcXze/cAN9ufXAREiMs0lEZ/mkthFJBr4MLbhGIAkbEN9GGN6gCbAlbG7K25P8ETsd2D7bc+V3Ba3iHxeRI5h6wl8wcVxj6b/+9Su3H5taJvyEdqM9J54wtnG7i2ujPszOPF97svJZSQ/BGJEZB9wL7AX21i+s74MXCgie4ELgYpx3n82nI5dRPyBZ4FfGGOK+i47aGrcEegQZxu3N7kkdhG5FcjGNlzlCWcdtzHmV8aY2cBXgK+7P+TTITm4NvT71Fvfy2Px1dhdEreIfA3b99lfx/qC/k6H5mUi8kdsww6VxpgPAdUiMtMYUyUiM7EVwTDGNAOftt8jQLH94RRjTCWnfyMMB24wxjRNwNifAI4YY3424Fo5kAKU23+gRAH1PhC3y3kydhFZD3wNuNAY0+krcQ/wN+A3ZxP3CLGPpO/7tE8yUOmgTfIIbRy+J2fDg7G7lCfjFpFPAlcDlxr7+NhofKbnYoz5tDFm+YA38CXgk/bnnwReBFv3X0QC7dfvBN6x/0d0iojEiUjf+/JVbLM3JlTsIvJ9bInji0NeGvh5bwTecuabYALE7XKeil1EsoDHgWuMMWf9Q86DcWcO+PAqbDOvXB37SF4CPiYiQSIyC8jEVkge+LmqgBYRWWtPnrdj/7szwnviI7G7lKfiFpEN2Hq41xhj2p0NzisPbN30KqAbW8a8Y0CxqBzoBKqB10e4fxq28eMj9j9j7dfPsV87BPwLB9MU7e0etn8dq/3Pb9uv32i//zDweyBoIsWO7bcJAxRgm0a6D7jT/lowttluR+3fOBk+Evcq+9dvA04CeT70nm+yf92+6y/5SNw/xzZ5ZR+wBVjkhvd8xHbYenrHsBXnrxzh/mzgoL3dY5yeFuvwPfGR2Ef9+hM47qPYajZ930e/dXT/wIeu0FdKKeVyPjMsppRSyndoclFKKeVymlyUUkq5nCYXpZRSLqfJRSmllMv5zCJKpTzNvu1P33YpM4BeoNb+cbsx5lyvBKaUD9CpyEo5QUS+jW2T0x97OxalfIEOiyl1BkSk1f7nRSLytog8JyKHReSHIvIJEdkpIrkiMtveLl5E/ikiu+yP87z7N1DKvTS5KHX2lgH3AUuA24C5xpjV2HZ4uNfe5ufAo8aYVdh23f69NwJVylO05qLU2dtl7FvA27ewf8N+PRfbYWIA64GFti2bAIgUkQhjTItHI1XKQzS5KHX2Bu6EbB3wsZXT/8cs2A5nOuXJwJTyFh0WU8oz3gD+u+8DEVnuxViUcjtNLkp5xheAbBE5ICL5wD3eDkgpd9KpyEoppVxOey5KKaVcTpOLUkopl9PkopRSyuU0uSillHI5TS5KKaVcTpOLUkopl9PkopRSyuU0uSillHK5/w/tkg2InZLYQAAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", 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\n", + "image/png": 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" ] @@ -2811,7 +3048,7 @@ " if col != 'Date':\n", " fig = plt.figure()\n", " plt.plot(time, data1[col])\n", - " plt.xlabel('Time')\n", + " plt.xlabel('time')\n", " plt.ylabel(col)\n", " fig.savefig('scripps_pier_%s.pdf' % col)" ] @@ -2825,7 +3062,7 @@ }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 109, "metadata": {}, "outputs": [ { @@ -2912,28 +3149,32 @@ "11/10/15 1:17 22.316 3.471 33.199 19.95" ] }, - "execution_count": 100, + "execution_count": 109, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# index is the date/time as a string (object)\n", "data2.head()" ] }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 110, "metadata": {}, "outputs": [], "source": [ + "# convert the index to a datetime index\n", "data2.index = pd.to_datetime(data2.index)" ] }, { "cell_type": "code", - "execution_count": 102, - "metadata": {}, + "execution_count": 111, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { @@ -3019,29 +3260,408 @@ "2015-11-10 01:17:00 22.316 3.471 33.199 19.95" ] }, - "execution_count": 102, + "execution_count": 111, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# now we see the index has changed to a standard datetime format\n", "data2.head()" ] }, { "cell_type": "code", - "execution_count": 103, + "execution_count": 112, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Timestamp('2015-11-10 01:42:00')" + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# closer look at the first item in the index\n", + "data2.index[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "datetime.date(2015, 11, 10)" + ] + }, + "execution_count": 113, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# timestamp has a method date() to get the date\n", + "data2.index[0].date()" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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2015-11-10 00:05:0022.3153.01833.19720.09
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" + ], + "text/plain": [ + " chl (ug/L) pres (dbar) sal (PSU) temp (C)\n", + "Date \n", + "2015-11-10 01:42:00 22.307 3.712 33.199 19.95\n", + "2015-11-10 01:35:00 22.311 3.588 33.201 19.94\n", + "2015-11-10 01:29:00 22.305 3.541 33.200 19.95\n", + "2015-11-10 01:23:00 22.323 3.463 33.200 19.95\n", + "2015-11-10 01:17:00 22.316 3.471 33.199 19.95\n", + "2015-11-10 01:11:00 22.315 3.476 33.198 19.95\n", + "2015-11-10 01:05:00 22.310 3.448 33.199 19.96\n", + "2015-11-10 00:59:00 22.316 3.377 33.200 19.99\n", + "2015-11-10 00:53:00 22.311 3.338 33.200 20.00\n", + "2015-11-10 00:47:00 22.322 3.325 33.201 20.01\n", + "2015-11-10 00:41:00 22.311 3.344 33.200 20.04\n", + "2015-11-10 00:35:00 22.311 3.217 33.201 20.05\n", + "2015-11-10 00:29:00 22.307 3.265 33.199 20.08\n", + "2015-11-10 00:23:00 22.320 3.220 33.197 20.09\n", + "2015-11-10 00:17:00 22.322 3.211 33.199 20.08\n", + "2015-11-10 00:11:00 22.323 3.134 33.197 20.09\n", + "2015-11-10 00:05:00 22.315 3.018 33.197 20.09" + ] + }, + "execution_count": 114, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# get all the rows with date 2015-11-10\n", + "data2.loc['2015-11-10']" + ] + }, + { + "cell_type": "code", + "execution_count": 115, "metadata": { - "scrolled": false + "scrolled": true }, "outputs": [ { "data": { + "text/html": [ + "
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chl (ug/L)pres (dbar)sal (PSU)temp (C)
Date
2015-11-09 22:59:0022.3302.85133.19720.18
2015-11-09 22:53:0022.3152.76933.19920.18
2015-11-09 22:47:0022.3182.77433.19120.19
2015-11-09 22:41:0022.3182.87533.19120.15
2015-11-09 22:35:0022.3202.75233.19220.15
2015-11-09 22:29:0022.3192.81433.18620.16
2015-11-09 22:23:0022.3282.78133.18420.13
2015-11-09 22:17:0022.3102.79433.18920.11
2015-11-09 22:11:0022.3202.77633.19720.08
2015-11-09 22:05:0022.3252.77033.19920.07
\n", + "
" + ], "text/plain": [ - "" + " chl (ug/L) pres (dbar) sal (PSU) temp (C)\n", + "Date \n", + "2015-11-09 22:59:00 22.330 2.851 33.197 20.18\n", + "2015-11-09 22:53:00 22.315 2.769 33.199 20.18\n", + "2015-11-09 22:47:00 22.318 2.774 33.191 20.19\n", + "2015-11-09 22:41:00 22.318 2.875 33.191 20.15\n", + "2015-11-09 22:35:00 22.320 2.752 33.192 20.15\n", + "2015-11-09 22:29:00 22.319 2.814 33.186 20.16\n", + "2015-11-09 22:23:00 22.328 2.781 33.184 20.13\n", + "2015-11-09 22:17:00 22.310 2.794 33.189 20.11\n", + "2015-11-09 22:11:00 22.320 2.776 33.197 20.08\n", + "2015-11-09 22:05:00 22.325 2.770 33.199 20.07" ] }, - "execution_count": 103, + "execution_count": 115, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# get all the rows with hour 22 (10pm-11pm)\n", + "data2[data2.index.hour == 22]" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 116, "metadata": {}, "output_type": "execute_result" }, @@ -3068,6 +3688,7 @@ } ], "source": [ + "# use the built-in plot() method of a pandas dataframe\n", "plt.figure()\n", "data2.plot()\n", "plt.legend(loc='best')" From 424e4b19485aee73cccf7ef2c8be0ae6e6847ab3 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Wed, 31 Oct 2018 19:09:33 -0700 Subject: [PATCH 36/78] fixing minor typos --- assignments/assignment3.md | 6 +++--- assignments/assignment5.md | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/assignments/assignment3.md b/assignments/assignment3.md index b957dd5..62d85cf 100644 --- a/assignments/assignment3.md +++ b/assignments/assignment3.md @@ -20,18 +20,18 @@ Complete the tasks below. You should turn in a single Jupyter notebook named `3_ #### B. Taking input, reading and writing files, functions (Shaw Exercises 11-26) -**1.** Write some code, without using functions, that calculates the average of 5 numbers. Do it three different ways: +1. Write some code, without using functions, that calculates the average of 5 numbers. Do it three different ways: * Write a .py file that takes input from the command line using `input()`. After the script works, paste the text of the file into your Jupyter notebook. * Write a .py file that takes input from the command line using `argv`. After the script works, paste the text of the file into your Jupyter notebook. * Enter code into two Jupyter notebooks cells: the first stores value as variables, and the second computes the average. -**2.** Using functions, write some code that takes two strings, prints them with the first letter capitalized, prints them with all letters capitalized, prints the first and last letter of each, prints the length of each, and then prints the concatenation of the two strings. Do it two different ways: +2. Using functions, write some code that takes two strings, prints them with the first letter capitalized, prints them with all letters capitalized, prints the first and last letter of each, prints the length of each, and then prints the concatenation of the two strings. Do it two different ways: * Write a .py file that uses `argv`. After the script works, paste the text of the file into your Jupyter notebook. * In your Jupyter notebook, comment out the `argv` portions and hard code in the values of your strings. Then make sure the code runs the same. -**3.** Using a text editor, create a comma-separated values (CSV) file with 5 columns and 5 rows. Save it in the same directory as your Jupyter notebook. In the Jupyter notebook, read and print the file in different ways, and write new files, as follows: +3. Using a text editor, create a comma-separated values (CSV) file with 5 columns and 5 rows. Save it in the same directory as your Jupyter notebook. In the Jupyter notebook, read and print the file in different ways, and write new files, as follows: * Read your CSV file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!). * Do the same but use a `with` block and a different one of `read()`, `readline()`, or `readlines()`. diff --git a/assignments/assignment5.md b/assignments/assignment5.md index 66975ed..ddacd72 100644 --- a/assignments/assignment5.md +++ b/assignments/assignment5.md @@ -7,9 +7,9 @@ Complete the tasks below. Please turn in a single Jupyter notebook named `5_firs Setup: Download [scripps_pier_20151110.csv](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/scripps_pier_20151110.csv) to your directory `~/sio209/data`, if you haven't already. You will use regular expressions to get information from the file. 1. Get all the rows with data from 11/10/15 using grep. How would you keep the header line also? (Hint: to get an "or", use `\|` in grep or `|` in egrep.) -* Get all the rows where the third column (pressure) begins with a "3" using grep. (Hint: if you want to match a period `.` and not any character, you can escape it with `\.`.) -* Change the year "15" to "2015" using sed. (Reminder: sed syntax is `'sed s/find/replace/'`. Hint: if you want to match a forward slash in sed, you can escape it with a backslash like `\/`.) -* Copy your shell code (e.g., grep, sed) to a Markdown cell in your notebook. +2. Get all the rows where the third column (pressure) begins with a "3" using grep. (Hint: if you want to match a period `.` and not any character, you can escape it with `\.`.) +3. Change the year "15" to "2015" using sed. (Reminder: sed syntax is `'sed s/find/replace/'`. Hint: if you want to match a forward slash in sed, you can escape it with a backslash like `\/`.) +4. Copy your shell code (e.g., grep, sed) to a Markdown cell in your notebook. #### B. Regular expressions in Python From 0201a1a197b629113145c10e863b4efc27e13983 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Wed, 31 Oct 2018 19:13:40 -0700 Subject: [PATCH 37/78] minor fixes --- assignments/answers/assignment3_answers.ipynb | 40 +++++++++---------- assignments/assignment3.md | 20 +++++----- 2 files changed, 30 insertions(+), 30 deletions(-) diff --git a/assignments/answers/assignment3_answers.ipynb b/assignments/answers/assignment3_answers.ipynb index d01dd84..927dd12 100644 --- a/assignments/answers/assignment3_answers.ipynb +++ b/assignments/answers/assignment3_answers.ipynb @@ -28,22 +28,22 @@ "\n", "1. Write some code, without using functions, that calculates the average of 5 numbers. Do it three different ways:\n", "\n", - " * Write a .py file that takes input from the command line using `input()`. After the script works, paste the text of the file into your Jupyter notebook.\n", - " * Write a .py file that takes input from the command line using `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", - " * Enter code into two Jupyter notebooks cells: the first stores value as variables, and the second computes the average.\n", + " - Write a .py file that takes input from the command line using `input()`. After the script works, paste the text of the file into your Jupyter notebook.\n", + " - Write a .py file that takes input from the command line using `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", + " - Enter code into two Jupyter notebooks cells: the first stores value as variables, and the second computes the average.\n", "\n", "2. Using functions, write some code that takes two strings, prints them with the first letter capitalized, prints them with all letters capitalized, prints the first and last letter of each, prints the length of each, and then prints the concatenation of the two strings. Do it two different ways:\n", "\n", - " * Write a .py file that uses `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", - " * In your Jupyter notebook, comment out the `argv` portions and hard code in the values of your strings. Then make sure the code runs the same.\n", + " - Write a .py file that uses `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", + " - In your Jupyter notebook, comment out the `argv` portions and hard code in the values of your strings. Then make sure the code runs the same.\n", "\n", "3. Using a text editor, create a comma-separated values (CSV) file with 5 columns and 5 rows. Save it in the same directory as your Jupyter notebook. In the Jupyter notebook, read and print the file in different ways, and write new files, as follows:\n", "\n", - " * Read your CSV file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!).\n", - " * Do the same but use a `with` block and a different one of `read()`, `readline()`, or `readlines()`.\n", - " * Using either of the two above methods to read in the file, then change one row of data (i.e., modify the string or list), then write your csv data to a new file.\n", - " * Read your CSV file using Pandas and display the resulting DataFrame.\n", - " * Save your DataFrame to a new file using Pandas.\n" + " - Read your CSV file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!).\n", + " - Do the same but use a `with` block and a different one of `read()`, `readline()`, or `readlines()`.\n", + " - Using either of the two above methods to read in the file, then change one row of data (i.e., modify the string or list), then write your csv data to a new file.\n", + " - Read your CSV file using Pandas and display the resulting DataFrame.\n", + " - Save your DataFrame to a new file using Pandas.\n" ] }, { @@ -785,9 +785,9 @@ "\n", "1. Write some code, without using functions, that calculates the average of 5 numbers. Do it three different ways:\n", "\n", - " * Write a .py file that takes input from the command line using `input()`. After the script works, paste the text of the file into your Jupyter notebook.\n", - " * Write a .py file that takes input from the command line using `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", - " * Enter code into two Jupyter notebooks cells: the first stores value as variables, and the second computes the average." + " - Write a .py file that takes input from the command line using `input()`. After the script works, paste the text of the file into your Jupyter notebook.\n", + " - Write a .py file that takes input from the command line using `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", + " - Enter code into two Jupyter notebooks cells: the first stores value as variables, and the second computes the average." ] }, { @@ -898,8 +898,8 @@ "source": [ "2. Using functions, write some code that takes two strings, prints them with the first letter capitalized, prints them with all letters capitalized, prints the first and last letter of each, prints the length of each, and then prints the concatenation of the two strings. Do it two different ways:\n", "\n", - " * Write a .py file that uses `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", - " * In your Jupyter notebook, comment out the `argv` portions and hard code in the values of your strings. Then make sure the code runs the same." + " - Write a .py file that uses `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", + " - In your Jupyter notebook, comment out the `argv` portions and hard code in the values of your strings. Then make sure the code runs the same." ] }, { @@ -977,11 +977,11 @@ "source": [ "3. Using a text editor, create a comma-separated values (CSV) file with 5 columns and 5 rows. Save it in the same directory as your Jupyter notebook. In the Jupyter notebook, read and print the file in different ways, and write new files, as follows:\n", "\n", - " * Read your CSV file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!).\n", - " * Do the same but use a `with` block and a different one of `read()`, `readline()`, or `readlines()`.\n", - " * Using either of the two above methods, then change one row of data, and write your data to a new CSV file.\n", - " * Read your CSV file using Pandas and display the resulting DataFrame.\n", - " * Save your DataFrame to a new file using Pandas." + " - Read your CSV file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!).\n", + " - Do the same but use a `with` block and a different one of `read()`, `readline()`, or `readlines()`.\n", + " - Using either of the two above methods, then change one row of data, and write your data to a new CSV file.\n", + " - Read your CSV file using Pandas and display the resulting DataFrame.\n", + " - Save your DataFrame to a new file using Pandas." ] }, { diff --git a/assignments/assignment3.md b/assignments/assignment3.md index 62d85cf..adbc307 100644 --- a/assignments/assignment3.md +++ b/assignments/assignment3.md @@ -22,19 +22,19 @@ Complete the tasks below. You should turn in a single Jupyter notebook named `3_ 1. Write some code, without using functions, that calculates the average of 5 numbers. Do it three different ways: -* Write a .py file that takes input from the command line using `input()`. After the script works, paste the text of the file into your Jupyter notebook. -* Write a .py file that takes input from the command line using `argv`. After the script works, paste the text of the file into your Jupyter notebook. -* Enter code into two Jupyter notebooks cells: the first stores value as variables, and the second computes the average. + - Write a .py file that takes input from the command line using `input()`. After the script works, paste the text of the file into your Jupyter notebook. + - Write a .py file that takes input from the command line using `argv`. After the script works, paste the text of the file into your Jupyter notebook. + - Enter code into two Jupyter notebooks cells: the first stores value as variables, and the second computes the average. 2. Using functions, write some code that takes two strings, prints them with the first letter capitalized, prints them with all letters capitalized, prints the first and last letter of each, prints the length of each, and then prints the concatenation of the two strings. Do it two different ways: -* Write a .py file that uses `argv`. After the script works, paste the text of the file into your Jupyter notebook. -* In your Jupyter notebook, comment out the `argv` portions and hard code in the values of your strings. Then make sure the code runs the same. + - Write a .py file that uses `argv`. After the script works, paste the text of the file into your Jupyter notebook. + - In your Jupyter notebook, comment out the `argv` portions and hard code in the values of your strings. Then make sure the code runs the same. 3. Using a text editor, create a comma-separated values (CSV) file with 5 columns and 5 rows. Save it in the same directory as your Jupyter notebook. In the Jupyter notebook, read and print the file in different ways, and write new files, as follows: -* Read your CSV file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!). -* Do the same but use a `with` block and a different one of `read()`, `readline()`, or `readlines()`. -* Using either of the two above methods to read in the file, then change one row of data (i.e., modify the string or list), then write your csv data to a new file. -* Read your CSV file using Pandas and display the resulting DataFrame. -* Save your DataFrame to a new file using Pandas. + - Read your CSV file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!). + - Do the same but use a `with` block and a different one of `read()`, `readline()`, or `readlines()`. + - Using either of the two above methods to read in the file, then change one row of data (i.e., modify the string or list), then write your csv data to a new file. + - Read your CSV file using Pandas and display the resulting DataFrame. + - Save your DataFrame to a new file using Pandas. From fbe57d3a2d161cd592d60bc9699739d95e8baa3d Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 6 Nov 2018 09:51:36 -0800 Subject: [PATCH 38/78] updates to lessons 11-12 --- data/survey_scores_2018_fall.csv | 8 + lessons/lesson11.ipynb | 2809 ++++++++++++++++++++++-------- lessons/lesson12.ipynb | 2654 +++++++++++++++------------- 3 files changed, 3507 insertions(+), 1964 deletions(-) create mode 100644 data/survey_scores_2018_fall.csv diff --git a/data/survey_scores_2018_fall.csv b/data/survey_scores_2018_fall.csv new file mode 100644 index 0000000..2cf240e --- /dev/null +++ b/data/survey_scores_2018_fall.csv @@ -0,0 +1,8 @@ +subject_id,861167,346538,473138,268370,21801,996203,52398,980220,47263,232211,269629,630741,287626,874782,442558,55926,463808,350184,765427,704952,733358,165235,366626,944438,818177,287628,189753,783121,474873,481858,318480 +computer_has,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes,Yes +computer_os,Mac,Windows;Unix,Mac,Mac,Mac,Mac,Mac;Windows,Windows,Mac,Mac,Mac,Mac,Mac,Windows;Unix,Windows,Windows,Mac;Windows,Windows,Windows,Mac,Windows,Mac,Windows,Mac,Windows,Mac,Mac;Windows;Unix,Mac,Mac;Unix,Mac,Mac +score_command,Some,Some,Moderate,Some,Moderate,Some,Some,Some,Moderate,Moderate,Some,None,Some,Moderate,None,Some,Some,Some,Some,Some,Some,None,None,None,Some,Some,Experienced,None,Moderate,Some,Some +score_r,Some,Some,None,Some,Some,None,None,Moderate,Some,None,Some,None,Moderate,Some,None,Moderate,Some,None,Some,Experienced,None,None,None,None,Moderate,Some,None,Some,Moderate,Moderate,Some +score_matlab,Some,Moderate,Experienced,None,None,Some,Some,None,None,None,None,Experienced,Some,Some,Experienced,None,Experienced,Some,None,None,None,None,Moderate,Moderate,Moderate,None,Experienced,None,Some,None,None +score_perl,None,None,None,None,None,None,None,Some,None,None,None,None,Some,None,None,None,None,None,None,None,None,None,None,None,Some,None,None,None,None,None,None +score_python,Some,Moderate,Moderate,Some,Some,Some,Moderate,None,Some,Moderate,None,Some,None,Moderate,None,None,Some,Moderate,None,Some,Some,None,Moderate,Some,None,None,Some,None,Some,Some,None diff --git a/lessons/lesson11.ipynb b/lessons/lesson11.ipynb index 9862d55..5ee7af4 100644 --- a/lessons/lesson11.ipynb +++ b/lessons/lesson11.ipynb @@ -6,18 +6,25 @@ "source": [ "## Lesson 11 - Pandas Part I\n", "\n", - "In this lesson we will cover some basic features of [Pandas](http://pandas.pydata.org):\n", + "In this lesson we will cover some basic features of [Pandas](http://pandas.pydata.org).\n", "\n", - "* Series\n", - "* DataFrame\n", - "* index, columns\n", - "* dtypes, info, describe\n", - "* read_csv\n", - "* head, tail\n", - "* Indexing with bracket/dot notation, loc, iloc\n", - "* transpose\n", - "* to_csv, to_excel, read_excel\n", - "* to_datetime" + "### Readings\n", + "\n", + "* McKinney: [Chapter 4. Numpy Basics: Arrays and Vectorized Computation](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/numpy-basics-arrays-and-vectorized-computation/numpy_html)\n", + "* McKinney: [Chapter 5. Getting Started with Pandas](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/getting-started-with-pandas/pandas_html)\n", + "\n", + "### Table of Contents\n", + "\n", + "* [Series](#series)\n", + "* [DataFrame](#dataframe)\n", + "* [index, columns](#indexing)\n", + "* [dtypes, info, describe](#attributes)\n", + "* [read_csv](#readcsv)\n", + "* [head, tail](#headtail)\n", + "* [Indexing with bracket/dot notation, loc, iloc](#indexing2)\n", + "* [transpose](#transpose)\n", + "* [to_csv, to_excel, read_excel](#toread)\n", + "* [to_datetime](#datetime)" ] }, { @@ -34,6 +41,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Series" ] }, @@ -117,7 +126,7 @@ { "data": { "text/plain": [ - "array([0.30524267, 0.60331929, 0.78050443, 0.34128171, 0.42774023])" + "array([0.67421844, 0.55303709, 0.56433867, 0.54957026, 0.44879646])" ] }, "execution_count": 5, @@ -139,11 +148,11 @@ { "data": { "text/plain": [ - "0 0.305243\n", - "1 0.603319\n", - "2 0.780504\n", - "3 0.341282\n", - "4 0.427740\n", + "0 0.674218\n", + "1 0.553037\n", + "2 0.564339\n", + "3 0.549570\n", + "4 0.448796\n", "dtype: float64" ] }, @@ -166,8 +175,8 @@ { "data": { "text/plain": [ - "1 0.603319\n", - "3 0.341282\n", + "1 0.553037\n", + "3 0.549570\n", "dtype: float64" ] }, @@ -189,8 +198,8 @@ { "data": { "text/plain": [ - "3 0.341282\n", - "4 0.427740\n", + "3 0.549570\n", + "4 0.448796\n", "dtype: float64" ] }, @@ -208,6 +217,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### DataFrame" ] }, @@ -228,11 +239,11 @@ { "data": { "text/plain": [ - "array([[ 1.61580232, -0.20043629, 1.61469283, -0.90024258, -0.24544603],\n", - " [-1.46648569, 1.73823183, -0.92414027, -0.81294815, 0.2382035 ],\n", - " [-1.15223821, 0.01237087, 0.43611211, -0.02951594, 0.13019147],\n", - " [ 0.34051167, -0.52155966, -0.28445121, 0.61381083, 1.10246569],\n", - " [ 0.30339172, -0.30838146, 0.40072294, 0.38563107, -1.50539051]])" + "array([[ 0.30183528, 0.8527996 , 1.292565 , 0.77310374, -1.02036927],\n", + " [-0.21313282, -0.50346792, -1.65864876, 0.00325651, 0.06528936],\n", + " [-0.51409901, 0.19897581, -1.56643912, 2.9767219 , 1.50389804],\n", + " [ 0.16888865, 1.00044238, 0.93583698, 0.07282361, -2.1335255 ],\n", + " [ 0.46805536, -0.42282092, 0.79700182, 0.04224115, 0.55716763]])" ] }, "execution_count": 9, @@ -282,43 +293,43 @@ " \n", " \n", " 0\n", - " 1.615802\n", - " -0.200436\n", - " 1.614693\n", - " -0.900243\n", - " -0.245446\n", + " 0.301835\n", + " 0.852800\n", + " 1.292565\n", + " 0.773104\n", + " -1.020369\n", " \n", " \n", " 1\n", - " -1.466486\n", - " 1.738232\n", - " -0.924140\n", - " -0.812948\n", - " 0.238204\n", + " -0.213133\n", + " -0.503468\n", + " -1.658649\n", + " 0.003257\n", + " 0.065289\n", " \n", " \n", " 2\n", - " -1.152238\n", - " 0.012371\n", - " 0.436112\n", - " -0.029516\n", - " 0.130191\n", + " -0.514099\n", + " 0.198976\n", + " -1.566439\n", + " 2.976722\n", + " 1.503898\n", " \n", " \n", " 3\n", - " 0.340512\n", - " -0.521560\n", - " -0.284451\n", - " 0.613811\n", - " 1.102466\n", + " 0.168889\n", + " 1.000442\n", + " 0.935837\n", + " 0.072824\n", + " -2.133526\n", " \n", " \n", " 4\n", - " 0.303392\n", - " -0.308381\n", - " 0.400723\n", - " 0.385631\n", - " -1.505391\n", + " 0.468055\n", + " -0.422821\n", + " 0.797002\n", + " 0.042241\n", + " 0.557168\n", " \n", " \n", "\n", @@ -326,11 +337,11 @@ ], "text/plain": [ " 0 1 2 3 4\n", - "0 1.615802 -0.200436 1.614693 -0.900243 -0.245446\n", - "1 -1.466486 1.738232 -0.924140 -0.812948 0.238204\n", - "2 -1.152238 0.012371 0.436112 -0.029516 0.130191\n", - "3 0.340512 -0.521560 -0.284451 0.613811 1.102466\n", - "4 0.303392 -0.308381 0.400723 0.385631 -1.505391" + "0 0.301835 0.852800 1.292565 0.773104 -1.020369\n", + "1 -0.213133 -0.503468 -1.658649 0.003257 0.065289\n", + "2 -0.514099 0.198976 -1.566439 2.976722 1.503898\n", + "3 0.168889 1.000442 0.935837 0.072824 -2.133526\n", + "4 0.468055 -0.422821 0.797002 0.042241 0.557168" ] }, "execution_count": 10, @@ -379,43 +390,43 @@ " \n", " \n", " row1\n", - " 1.615802\n", - " -0.200436\n", - " 1.614693\n", - " -0.900243\n", - " -0.245446\n", + " 0.301835\n", + " 0.852800\n", + " 1.292565\n", + " 0.773104\n", + " -1.020369\n", " \n", " \n", " row2\n", - " -1.466486\n", - " 1.738232\n", - " -0.924140\n", - " -0.812948\n", - " 0.238204\n", + " -0.213133\n", + " -0.503468\n", + " -1.658649\n", + " 0.003257\n", + " 0.065289\n", " \n", " \n", " row3\n", - " -1.152238\n", - " 0.012371\n", - " 0.436112\n", - " -0.029516\n", - " 0.130191\n", + " -0.514099\n", + " 0.198976\n", + " -1.566439\n", + " 2.976722\n", + " 1.503898\n", " \n", " \n", " row4\n", - " 0.340512\n", - " -0.521560\n", - " -0.284451\n", - " 0.613811\n", - " 1.102466\n", + " 0.168889\n", + " 1.000442\n", + " 0.935837\n", + " 0.072824\n", + " -2.133526\n", " \n", " \n", " row5\n", - " 0.303392\n", - " -0.308381\n", - " 0.400723\n", - " 0.385631\n", - " -1.505391\n", + " 0.468055\n", + " -0.422821\n", + " 0.797002\n", + " 0.042241\n", + " 0.557168\n", " \n", " \n", "\n", @@ -423,11 +434,11 @@ ], "text/plain": [ " col1 col2 col3 col4 col5\n", - "row1 1.615802 -0.200436 1.614693 -0.900243 -0.245446\n", - "row2 -1.466486 1.738232 -0.924140 -0.812948 0.238204\n", - "row3 -1.152238 0.012371 0.436112 -0.029516 0.130191\n", - "row4 0.340512 -0.521560 -0.284451 0.613811 1.102466\n", - "row5 0.303392 -0.308381 0.400723 0.385631 -1.505391" + "row1 0.301835 0.852800 1.292565 0.773104 -1.020369\n", + "row2 -0.213133 -0.503468 -1.658649 0.003257 0.065289\n", + "row3 -0.514099 0.198976 -1.566439 2.976722 1.503898\n", + "row4 0.168889 1.000442 0.935837 0.072824 -2.133526\n", + "row5 0.468055 -0.422821 0.797002 0.042241 0.557168" ] }, "execution_count": 11, @@ -437,12 +448,49 @@ ], "source": [ "# we can set the index and column labels when we create the DataFrame\n", - "df_from_2d_array = pd.DataFrame(my_2d_array, \n", - " index=['row1', 'row2', 'row3', 'row4', 'row5'], \n", - " columns=['col1', 'col2', 'col3', 'col4', 'col5'])\n", + "# note that we can combine positional arguments (data) and keyword arguments\n", + "# (index, columns) as long as positional arguments come first\n", + "df_from_2d_array = pd.DataFrame(\n", + " my_2d_array,\n", + " index=['row1', 'row2', 'row3', 'row4', 'row5'],\n", + " columns=['col1', 'col2', 'col3', 'col4', 'col5'])\n", "df_from_2d_array" ] }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "# also note that commas and brackets/parentheses can precede a newline in python code\n", + "mylist = [\n", + " 0, 2, 4,\n", + " 6, 8, 10]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[0, 2, 4, 6, 8, 10]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mylist" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -452,7 +500,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": { "scrolled": false }, @@ -496,37 +544,66 @@ " \n", " \n", " 1\n", - " 0.305243\n", - " 0.603319\n", - " 0.780504\n", - " 0.341282\n", - " 0.42774\n", + " 0.674218\n", + " 0.553037\n", + " 0.564339\n", + " 0.54957\n", + " 0.448796\n", " \n", " \n", "\n", "" ], "text/plain": [ - " 0 1 2 3 4\n", - "0 cubs pirates giants yankees donkeys\n", - "1 0.305243 0.603319 0.780504 0.341282 0.42774" + " 0 1 2 3 4\n", + "0 cubs pirates giants yankees donkeys\n", + "1 0.674218 0.553037 0.564339 0.54957 0.448796" ] }, - "execution_count": 12, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# method 1: getting data as a list of series will orient them as rows\n", + "# this is typically not ideal\n", "x = pd.DataFrame(data=[series_from_list, series_from_array])\n", "x" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 object\n", + "1 object\n", + "2 object\n", + "3 object\n", + "4 object\n", + "dtype: object" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# note that each column has dtype object (string)\n", + "x.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { @@ -557,27 +634,27 @@ " \n", " 0\n", " cubs\n", - " 0.305243\n", + " 0.674218\n", " \n", " \n", " 1\n", " pirates\n", - " 0.603319\n", + " 0.553037\n", " \n", " \n", " 2\n", " giants\n", - " 0.780504\n", + " 0.564339\n", " \n", " \n", " 3\n", " yankees\n", - " 0.341282\n", + " 0.54957\n", " \n", " \n", " 4\n", " donkeys\n", - " 0.42774\n", + " 0.448796\n", " \n", " \n", "\n", @@ -585,27 +662,50 @@ ], "text/plain": [ " 0 1\n", - "0 cubs 0.305243\n", - "1 pirates 0.603319\n", - "2 giants 0.780504\n", - "3 yankees 0.341282\n", - "4 donkeys 0.42774" + "0 cubs 0.674218\n", + "1 pirates 0.553037\n", + "2 giants 0.564339\n", + "3 yankees 0.54957\n", + "4 donkeys 0.448796" ] }, - "execution_count": 13, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# in this example, we need to transpose the table (we'll see this again later in the lesson)\n", + "# in this example, we need to transpose the table - we'll see this again later in the lesson\n", "x = x.transpose()\n", "x" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 object\n", + "1 object\n", + "dtype: object" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# the transposed columns have dtype object - we'll see how to fix this below\n", + "x.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -637,27 +737,27 @@ " \n", " 0\n", " cubs\n", - " 0.305243\n", + " 0.674218\n", " \n", " \n", " 1\n", " pirates\n", - " 0.603319\n", + " 0.553037\n", " \n", " \n", " 2\n", " giants\n", - " 0.780504\n", + " 0.564339\n", " \n", " \n", " 3\n", " yankees\n", - " 0.341282\n", + " 0.549570\n", " \n", " \n", " 4\n", " donkeys\n", - " 0.427740\n", + " 0.448796\n", " \n", " \n", "\n", @@ -665,14 +765,14 @@ ], "text/plain": [ " a b\n", - "0 cubs 0.305243\n", - "1 pirates 0.603319\n", - "2 giants 0.780504\n", - "3 yankees 0.341282\n", - "4 donkeys 0.427740" + "0 cubs 0.674218\n", + "1 pirates 0.553037\n", + "2 giants 0.564339\n", + "3 yankees 0.549570\n", + "4 donkeys 0.448796" ] }, - "execution_count": 14, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -685,7 +785,30 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "a object\n", + "b float64\n", + "dtype: object" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# importing the data as columns gives us the correct dtypes\n", + "y.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -717,27 +840,27 @@ " \n", " 0\n", " cubs\n", - " 0.305243\n", + " 0.674218\n", " \n", " \n", " 1\n", " pirates\n", - " 0.603319\n", + " 0.553037\n", " \n", " \n", " 2\n", " giants\n", - " 0.780504\n", + " 0.564339\n", " \n", " \n", " 3\n", " yankees\n", - " 0.341282\n", + " 0.549570\n", " \n", " \n", " 4\n", " donkeys\n", - " 0.427740\n", + " 0.448796\n", " \n", " \n", "\n", @@ -745,14 +868,14 @@ ], "text/plain": [ " 0 1\n", - "0 cubs 0.305243\n", - "1 pirates 0.603319\n", - "2 giants 0.780504\n", - "3 yankees 0.341282\n", - "4 donkeys 0.427740" + "0 cubs 0.674218\n", + "1 pirates 0.553037\n", + "2 giants 0.564339\n", + "3 yankees 0.549570\n", + "4 donkeys 0.448796" ] }, - "execution_count": 15, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -763,16 +886,41 @@ "df" ] }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 object\n", + "1 float64\n", + "dtype: object" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# again, importing the data as columns gives us the correct dtypes\n", + "df.dtypes" + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### index, columns" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -781,18 +929,19 @@ "RangeIndex(start=0, stop=5, step=1)" ] }, - "execution_count": 16, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# numeric indexes\n", "df.index" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -801,18 +950,19 @@ "RangeIndex(start=0, stop=2, step=1)" ] }, - "execution_count": 17, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# numeric column names\n", "df.columns" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -844,27 +994,27 @@ " \n", " a\n", " cubs\n", - " 0.305243\n", + " 0.674218\n", " \n", " \n", " b\n", " pirates\n", - " 0.603319\n", + " 0.553037\n", " \n", " \n", " c\n", " giants\n", - " 0.780504\n", + " 0.564339\n", " \n", " \n", " d\n", " yankees\n", - " 0.341282\n", + " 0.549570\n", " \n", " \n", " e\n", " donkeys\n", - " 0.427740\n", + " 0.448796\n", " \n", " \n", "\n", @@ -872,19 +1022,20 @@ ], "text/plain": [ " team random\n", - "a cubs 0.305243\n", - "b pirates 0.603319\n", - "c giants 0.780504\n", - "d yankees 0.341282\n", - "e donkeys 0.427740" + "a cubs 0.674218\n", + "b pirates 0.553037\n", + "c giants 0.564339\n", + "d yankees 0.549570\n", + "e donkeys 0.448796" ] }, - "execution_count": 18, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# rename columns and indexes - method 1\n", "# set the index and column names to an existing DataFrame\n", "df.index = ['a', 'b', 'c', 'd', 'e']\n", "df.columns = ['team', 'random']\n", @@ -893,7 +1044,49 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['a', 'b', 'c', 'd', 'e'], dtype='object')" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# label (object) indexes\n", + "df.index" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['team', 'random'], dtype='object')" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# label (object) column names\n", + "df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -926,31 +1119,31 @@ " \n", " a\n", " cubs\n", - " 0.305243\n", + " 0.674218\n", " 2\n", " \n", " \n", " b\n", " pirates\n", - " 0.603319\n", + " 0.553037\n", " 3\n", " \n", " \n", " c\n", " giants\n", - " 0.780504\n", + " 0.564339\n", " 5\n", " \n", " \n", " d\n", " yankees\n", - " 0.341282\n", + " 0.549570\n", " 8\n", " \n", " \n", " e\n", " donkeys\n", - " 0.427740\n", + " 0.448796\n", " 13\n", " \n", " \n", @@ -959,85 +1152,30 @@ ], "text/plain": [ " team random integers\n", - "a cubs 0.305243 2\n", - "b pirates 0.603319 3\n", - "c giants 0.780504 5\n", - "d yankees 0.341282 8\n", - "e donkeys 0.427740 13" + "a cubs 0.674218 2\n", + "b pirates 0.553037 3\n", + "c giants 0.564339 5\n", + "d yankees 0.549570 8\n", + "e donkeys 0.448796 13" ] }, - "execution_count": 19, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# add a new column to the DataFrame\n", + "# add a new column to the end of a DataFrame\n", "df['integers'] = [2, 3, 5, 8, 13]\n", "df" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### dtypes, info, describe" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "team object\n", - "random float64\n", - "integers int64\n", - "dtype: object" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# gives the datatype of each column\n", - "df.dtypes" - ] - }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 28, "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Index: 5 entries, a to e\n", - "Data columns (total 3 columns):\n", - "team 5 non-null object\n", - "random 5 non-null float64\n", - "integers 5 non-null int64\n", - "dtypes: float64(1), int64(1), object(1)\n", - "memory usage: 160.0+ bytes\n" - ] - } - ], - "source": [ - "df.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, "outputs": [ { "data": { @@ -1060,49 +1198,480 @@ " \n", " \n", " \n", + " integers2\n", + " team\n", " random\n", " integers\n", " \n", " \n", " \n", " \n", - " count\n", - " 5.000000\n", - " 5.000000\n", - " \n", - " \n", - " mean\n", - " 0.491618\n", - " 6.200000\n", + " a\n", + " 2\n", + " cubs\n", + " 0.674218\n", + " 2\n", " \n", " \n", - " std\n", - " 0.198337\n", - " 4.438468\n", + " b\n", + " 3\n", + " pirates\n", + " 0.553037\n", + " 3\n", " \n", " \n", - " min\n", - " 0.305243\n", - " 2.000000\n", + " c\n", + " 5\n", + " giants\n", + " 0.564339\n", + " 5\n", " \n", " \n", - " 25%\n", - " 0.341282\n", + " d\n", + " 8\n", + " yankees\n", + " 0.549570\n", + " 8\n", + " \n", + " \n", + " e\n", + " 13\n", + " donkeys\n", + " 0.448796\n", + " 13\n", + " \n", + " \n", + "\n", + "" + ], + "text/plain": [ + " integers2 team random integers\n", + "a 2 cubs 0.674218 2\n", + "b 3 pirates 0.553037 3\n", + "c 5 giants 0.564339 5\n", + "d 8 yankees 0.549570 8\n", + "e 13 donkeys 0.448796 13" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# add a new column at a specific position\n", + "df.insert(0, 'integers2', [2, 3, 5, 8, 13])\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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bpirates0.5530373
cgiants0.5643395
dyankees0.5495708
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" + ], + "text/plain": [ + " team random integers\n", + "a cubs 0.674218 2\n", + "b pirates 0.553037 3\n", + "c giants 0.564339 5\n", + "d yankees 0.549570 8\n", + "e donkeys 0.448796 13" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# delete a column\n", + "df.drop('integers2', axis=1, inplace=True)\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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teamrandomfibonacci
acubs0.6742182
bpirates0.5530373
cgiants0.5643395
dyankees0.5495708
edonkeys0.44879613
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" + ], + "text/plain": [ + " team random fibonacci\n", + "a cubs 0.674218 2\n", + "b pirates 0.553037 3\n", + "c giants 0.564339 5\n", + "d yankees 0.549570 8\n", + "e donkeys 0.448796 13" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# rename columns - method 2\n", + "# using dictionary mapping old names to new names\n", + "df.rename(columns={'integers': 'fibonacci'}, inplace=True)\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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fibonacciteamrandom
a2cubs0.674218
b3pirates0.553037
c5giants0.564339
d8yankees0.549570
e13donkeys0.448796
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" + ], + "text/plain": [ + " fibonacci team random\n", + "a 2 cubs 0.674218\n", + "b 3 pirates 0.553037\n", + "c 5 giants 0.564339\n", + "d 8 yankees 0.549570\n", + "e 13 donkeys 0.448796" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# reorder the columns by passing a list of columns in the desired order\n", + "df[['fibonacci', 'team', 'random']]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "### dtypes, info, describe" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "team object\n", + "random float64\n", + "fibonacci int64\n", + "dtype: object" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# gives the datatype of each column\n", + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(5, 3)" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# shape (dimensions) of dataframe\n", + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 5 entries, a to e\n", + "Data columns (total 3 columns):\n", + "team 5 non-null object\n", + "random 5 non-null float64\n", + "fibonacci 5 non-null int64\n", + "dtypes: float64(1), int64(1), object(1)\n", + "memory usage: 160.0+ bytes\n" + ] + } + ], + "source": [ + "# information about index and columns\n", + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1110,23 +1679,24 @@ "" ], "text/plain": [ - " random integers\n", + " random fibonacci\n", "count 5.000000 5.000000\n", - "mean 0.491618 6.200000\n", - "std 0.198337 4.438468\n", - "min 0.305243 2.000000\n", - "25% 0.341282 3.000000\n", - "50% 0.427740 5.000000\n", - "75% 0.603319 8.000000\n", - "max 0.780504 13.000000" + "mean 0.557992 6.200000\n", + "std 0.079950 4.438468\n", + "min 0.448796 2.000000\n", + "25% 0.549570 3.000000\n", + "50% 0.553037 5.000000\n", + "75% 0.564339 8.000000\n", + "max 0.674218 13.000000" ] }, - "execution_count": 22, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# basic statistics\n", "df.describe()" ] }, @@ -1134,23 +1704,28 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### read_csv" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ + "# read_csv with defaults\n", "# by default column headers are the first row and row indexes are integers starting from zero\n", - "df_sio = pd.read_csv('scripps_pier_20151110.csv')" + "df_sio = pd.read_csv('../data/scripps_pier_20151110.csv')" ] }, { "cell_type": "code", - "execution_count": 24, - "metadata": {}, + "execution_count": 37, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { @@ -1234,7 +1809,7 @@ "4 11/10/15 1:17 22.316 3.471 33.199 19.95" ] }, - "execution_count": 24, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -1245,7 +1820,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -1259,7 +1834,7 @@ "dtype: object" ] }, - "execution_count": 25, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -1271,8 +1846,10 @@ }, { "cell_type": "code", - "execution_count": 26, - "metadata": {}, + "execution_count": 39, + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", @@ -1292,138 +1869,277 @@ } ], "source": [ - "df_sio.info()" + "df_sio.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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randomfibonacci
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chl (ug/L)pres (dbar)sal (PSU)temp (C)
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mean22.3495763.04181833.19931820.06697
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min22.3050002.71400033.18400019.94000
25%22.3190002.81325033.19700020.04000
50%22.3335002.99700033.19900020.07000
75%22.3850003.21550033.20300020.10500
max22.4260003.71200033.20600020.19000
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" + ], + "text/plain": [ + " chl (ug/L) pres (dbar) sal (PSU) temp (C)\n", + "count 66.000000 66.000000 66.000000 66.00000\n", + "mean 22.349576 3.041818 33.199318 20.06697\n", + "std 0.038988 0.254295 0.004959 0.06850\n", + "min 22.305000 2.714000 33.184000 19.94000\n", + "25% 22.319000 2.813250 33.197000 20.04000\n", + "50% 22.333500 2.997000 33.199000 20.07000\n", + "75% 22.385000 3.215500 33.203000 20.10500\n", + "max 22.426000 3.712000 33.206000 20.19000" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_sio.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "# read_csv specifying dtype (for all columns), index_col, and header\n", + "# sometimes it's better to specify the dtype as object and convert to int, float, etc. later\n", + "df_sio2 = pd.read_csv('../data/scripps_pier_20151110.csv', \n", + " dtype=object, index_col=None, header=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Date object\n", + "chl (ug/L) object\n", + "pres (dbar) object\n", + "sal (PSU) object\n", + "temp (C) object\n", + "dtype: object" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_sio2.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "# read_csv specifying dtypes (per column), index_col, and header\n", + "# this allows us to have more control over the dtype of each column\n", + "df_sio3 = pd.read_csv('../data/scripps_pier_20151110.csv',\n", + " dtype={'pres (dbar)': np.float64, 'temp (C)': str}, \n", + " index_col=None, header=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Date object\n", + "chl (ug/L) float64\n", + "pres (dbar) float64\n", + "sal (PSU) float64\n", + "temp (C) object\n", + "dtype: object" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_sio3.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Changing dtype of columns after DataFrame is created" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "# method 1: list comprehension (one column)\n", + "df_sio['chl (ug/L)'] = [float(x) for x in df_sio['chl (ug/L)']]" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "# method 2: pd.to_numeric (one column)\n", + "df_sio['pres (dbar)'] = pd.to_numeric(df_sio['pres (dbar)'])" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "# method 3: apply(pd.to_numeric) (multiple columns)\n", + "df_sio[['sal (PSU)','temp (C)']] = df_sio[['sal (PSU)','temp (C)']].apply(pd.to_numeric)" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 48, "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "
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chl (ug/L)pres (dbar)sal (PSU)temp (C)
count66.00000066.00000066.00000066.00000
mean22.3495763.04181833.19931820.06697
std0.0389880.2542950.0049590.06850
min22.3050002.71400033.18400019.94000
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" - ], "text/plain": [ - " chl (ug/L) pres (dbar) sal (PSU) temp (C)\n", - "count 66.000000 66.000000 66.000000 66.00000\n", - "mean 22.349576 3.041818 33.199318 20.06697\n", - "std 0.038988 0.254295 0.004959 0.06850\n", - "min 22.305000 2.714000 33.184000 19.94000\n", - "25% 22.319000 2.813250 33.197000 20.04000\n", - "50% 22.333500 2.997000 33.199000 20.07000\n", - "75% 22.385000 3.215500 33.203000 20.10500\n", - "max 22.426000 3.712000 33.206000 20.19000" + "Date object\n", + "chl (ug/L) float64\n", + "pres (dbar) float64\n", + "sal (PSU) float64\n", + "temp (C) float64\n", + "dtype: object" ] }, - "execution_count": 27, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_sio.describe()" + "df_sio.dtypes" ] }, { - "cell_type": "code", - "execution_count": 28, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "# we can also specify the dtype (and specify index and header to defaults)\n", - "# sometimes it's better to specify the dtype as object and convert to int, float, etc. later\n", - "df_sio = pd.read_csv('scripps_pier_20151110.csv', dtype=object, index_col=None, header=0)" + "\n", + "\n", + "### head, tail" ] }, { "cell_type": "code", - "execution_count": 29, - "metadata": {}, + "execution_count": 49, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { @@ -1475,7 +2191,7 @@ " 11/10/15 1:29\n", " 22.305\n", " 3.541\n", - " 33.2\n", + " 33.200\n", " 19.95\n", " \n", " \n", @@ -1483,7 +2199,7 @@ " 11/10/15 1:23\n", " 22.323\n", " 3.463\n", - " 33.2\n", + " 33.200\n", " 19.95\n", " \n", " \n", @@ -1499,52 +2215,30 @@ "" ], "text/plain": [ - " Date chl (ug/L) pres (dbar) sal (PSU) temp (C)\n", - "0 11/10/15 1:42 22.307 3.712 33.199 19.95\n", - "1 11/10/15 1:35 22.311 3.588 33.201 19.94\n", - "2 11/10/15 1:29 22.305 3.541 33.2 19.95\n", - "3 11/10/15 1:23 22.323 3.463 33.2 19.95\n", - "4 11/10/15 1:17 22.316 3.471 33.199 19.95" + " Date chl (ug/L) pres (dbar) sal (PSU) temp (C)\n", + "0 11/10/15 1:42 22.307 3.712 33.199 19.95\n", + "1 11/10/15 1:35 22.311 3.588 33.201 19.94\n", + "2 11/10/15 1:29 22.305 3.541 33.200 19.95\n", + "3 11/10/15 1:23 22.323 3.463 33.200 19.95\n", + "4 11/10/15 1:17 22.316 3.471 33.199 19.95" ] }, - "execution_count": 29, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# add a number to change the number of rows printed\n", "df_sio.head()" ] }, { "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Date object\n", - "chl (ug/L) object\n", - "pres (dbar) object\n", - "sal (PSU) object\n", - "temp (C) object\n", - "dtype: object" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_sio.dtypes" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, + "execution_count": 50, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { @@ -1576,130 +2270,53 @@ " \n", " \n", " \n", - " count\n", - " 66\n", - " 66\n", - " 66\n", - " 66\n", - " 66\n", - " \n", - " \n", - " unique\n", - " 66\n", - " 44\n", - " 64\n", - " 18\n", - " 21\n", + " 63\n", + " 11/9/15 19:22\n", + " 22.418\n", + " 3.316\n", + " 33.202\n", + " 19.96\n", " \n", " \n", - " top\n", - " 11/9/15 19:41\n", - " 22.311\n", - " 2.875\n", - " 33.199\n", - " 20.05\n", + " 64\n", + " 11/9/15 19:16\n", + " 22.410\n", + " 3.209\n", + " 33.200\n", + " 19.96\n", " \n", " \n", - " freq\n", - " 1\n", - " 4\n", - " 2\n", - " 9\n", - " 11\n", + " 65\n", + " 11/9/15 19:10\n", + " 22.426\n", + " 3.328\n", + " 33.203\n", + " 19.95\n", " \n", " \n", "\n", "" ], "text/plain": [ - " Date chl (ug/L) pres (dbar) sal (PSU) temp (C)\n", - "count 66 66 66 66 66\n", - "unique 66 44 64 18 21\n", - "top 11/9/15 19:41 22.311 2.875 33.199 20.05\n", - "freq 1 4 2 9 11" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_sio.describe()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Changing dtype of columns" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "# method 1: list comprehension (one column)\n", - "df_sio['chl (ug/L)'] = [float(x) for x in df_sio['chl (ug/L)']]" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [], - "source": [ - "# method 2: pd.to_numeric (one column)\n", - "df_sio['pres (dbar)'] = pd.to_numeric(df_sio['pres (dbar)'])" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [], - "source": [ - "# method 3: apply(pd.to_numeric) (multiple columns)\n", - "df_sio[['sal (PSU)','temp (C)']] = df_sio[['sal (PSU)','temp (C)']].apply(pd.to_numeric)" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Date object\n", - "chl (ug/L) float64\n", - "pres (dbar) float64\n", - "sal (PSU) float64\n", - "temp (C) float64\n", - "dtype: object" + " Date chl (ug/L) pres (dbar) sal (PSU) temp (C)\n", + "63 11/9/15 19:22 22.418 3.316 33.202 19.96\n", + "64 11/9/15 19:16 22.410 3.209 33.200 19.96\n", + "65 11/9/15 19:10 22.426 3.328 33.203 19.95" ] }, - "execution_count": 35, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_sio.dtypes" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### head, tail" + "# tail works the same way\n", + "df_sio.tail(3)" ] }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 51, "metadata": { "scrolled": true }, @@ -1789,67 +2406,414 @@ " 33.199\n", " 19.96\n", " \n", - " \n", - "\n", - "" - ], - "text/plain": [ - " Date chl (ug/L) pres (dbar) sal (PSU) temp (C)\n", - "0 11/10/15 1:42 22.307 3.712 33.199 19.95\n", - "1 11/10/15 1:35 22.311 3.588 33.201 19.94\n", - "2 11/10/15 1:29 22.305 3.541 33.200 19.95\n", - "3 11/10/15 1:23 22.323 3.463 33.200 19.95\n", - "4 11/10/15 1:17 22.316 3.471 33.199 19.95\n", - "5 11/10/15 1:11 22.315 3.476 33.198 19.95\n", - "6 11/10/15 1:05 22.310 3.448 33.199 19.96" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# add a number to change the number of rows printed\n", - "df_sio.head(7)" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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Datechl (ug/L)pres (dbar)sal (PSU)temp (C)
711/10/15 0:5922.3163.37733.20019.99
811/10/15 0:5322.3113.33833.20020.00
911/10/15 0:4722.3223.32533.20120.01
1011/10/15 0:4122.3113.34433.20020.04
1111/10/15 0:3522.3113.21733.20120.05
1211/10/15 0:2922.3073.26533.19920.08
1311/10/15 0:2322.3203.22033.19720.09
1411/10/15 0:1722.3223.21133.19920.08
1511/10/15 0:1122.3233.13433.19720.09
1611/10/15 0:0522.3153.01833.19720.09
1711/9/15 23:5922.3193.03133.19820.08
1811/9/15 23:5322.3273.11833.19920.11
1911/9/15 23:4722.3322.96233.19920.13
2011/9/15 23:4122.3283.01433.19820.16
2111/9/15 23:3522.3412.97233.19320.18
2211/9/15 23:2922.3363.01333.19420.17
2311/9/15 23:2322.3373.01133.19420.16
2411/9/15 23:1722.3342.87533.19420.16
2511/9/15 23:1122.3372.80933.19420.16
2611/9/15 23:0522.3352.86833.19520.18
2711/9/15 22:5922.3302.85133.19720.18
2811/9/15 22:5322.3152.76933.19920.18
2911/9/15 22:4722.3182.77433.19120.19
..................
3611/9/15 22:0522.3252.77033.19920.07
3711/9/15 21:5922.3202.76033.19820.08
3811/9/15 21:5322.3352.79833.19820.08
3911/9/15 21:4722.3332.76433.19820.08
4011/9/15 21:4122.3432.71433.19720.09
4111/9/15 21:3522.3512.82133.19520.06
4211/9/15 21:2922.3592.83233.20120.05
4311/9/15 21:2322.3632.73533.20320.05
4411/9/15 21:1722.3632.74633.20520.05
4511/9/15 21:1122.3682.76033.20420.05
4611/9/15 21:0522.3702.80533.20520.05
4711/9/15 20:5922.3772.81333.20520.05
4811/9/15 20:5322.3952.91333.20620.05
4911/9/15 20:4722.3952.81833.20620.05
5011/9/15 20:4122.3792.87733.20520.07
5111/9/15 20:3522.3882.92133.20620.07
5211/9/15 20:2922.3872.97133.20520.07
5311/9/15 20:2322.3922.98333.20620.07
5411/9/15 20:1722.4023.06133.20620.07
5511/9/15 20:1122.4042.96133.20620.08
5611/9/15 20:0522.4093.06533.20420.05
5711/9/15 19:5922.4123.15933.20320.04
5811/9/15 19:5322.4183.03933.20620.04
5911/9/15 19:4722.4223.16333.20420.04
6011/9/15 19:4122.4233.19333.20620.03
6111/9/15 19:3422.4233.20433.20220.05
6211/9/15 19:2822.4133.25433.20020.02
6311/9/15 19:22
\n", + "

66 rows Γ— 5 columns

\n", "
" ], "text/plain": [ " Date chl (ug/L) pres (dbar) sal (PSU) temp (C)\n", + "0 11/10/15 1:42 22.307 3.712 33.199 19.95\n", + "1 11/10/15 1:35 22.311 3.588 33.201 19.94\n", + "2 11/10/15 1:29 22.305 3.541 33.200 19.95\n", + "3 11/10/15 1:23 22.323 3.463 33.200 19.95\n", + "4 11/10/15 1:17 22.316 3.471 33.199 19.95\n", + "5 11/10/15 1:11 22.315 3.476 33.198 19.95\n", + "6 11/10/15 1:05 22.310 3.448 33.199 19.96\n", + "7 11/10/15 0:59 22.316 3.377 33.200 19.99\n", + "8 11/10/15 0:53 22.311 3.338 33.200 20.00\n", + "9 11/10/15 0:47 22.322 3.325 33.201 20.01\n", + "10 11/10/15 0:41 22.311 3.344 33.200 20.04\n", + "11 11/10/15 0:35 22.311 3.217 33.201 20.05\n", + "12 11/10/15 0:29 22.307 3.265 33.199 20.08\n", + "13 11/10/15 0:23 22.320 3.220 33.197 20.09\n", + "14 11/10/15 0:17 22.322 3.211 33.199 20.08\n", + "15 11/10/15 0:11 22.323 3.134 33.197 20.09\n", + "16 11/10/15 0:05 22.315 3.018 33.197 20.09\n", + "17 11/9/15 23:59 22.319 3.031 33.198 20.08\n", + "18 11/9/15 23:53 22.327 3.118 33.199 20.11\n", + "19 11/9/15 23:47 22.332 2.962 33.199 20.13\n", + "20 11/9/15 23:41 22.328 3.014 33.198 20.16\n", + "21 11/9/15 23:35 22.341 2.972 33.193 20.18\n", + "22 11/9/15 23:29 22.336 3.013 33.194 20.17\n", + "23 11/9/15 23:23 22.337 3.011 33.194 20.16\n", + "24 11/9/15 23:17 22.334 2.875 33.194 20.16\n", + "25 11/9/15 23:11 22.337 2.809 33.194 20.16\n", + "26 11/9/15 23:05 22.335 2.868 33.195 20.18\n", + "27 11/9/15 22:59 22.330 2.851 33.197 20.18\n", + "28 11/9/15 22:53 22.315 2.769 33.199 20.18\n", + "29 11/9/15 22:47 22.318 2.774 33.191 20.19\n", + ".. ... ... ... ... ...\n", + "36 11/9/15 22:05 22.325 2.770 33.199 20.07\n", + "37 11/9/15 21:59 22.320 2.760 33.198 20.08\n", + "38 11/9/15 21:53 22.335 2.798 33.198 20.08\n", + "39 11/9/15 21:47 22.333 2.764 33.198 20.08\n", + "40 11/9/15 21:41 22.343 2.714 33.197 20.09\n", + "41 11/9/15 21:35 22.351 2.821 33.195 20.06\n", + "42 11/9/15 21:29 22.359 2.832 33.201 20.05\n", + "43 11/9/15 21:23 22.363 2.735 33.203 20.05\n", + "44 11/9/15 21:17 22.363 2.746 33.205 20.05\n", + "45 11/9/15 21:11 22.368 2.760 33.204 20.05\n", + "46 11/9/15 21:05 22.370 2.805 33.205 20.05\n", + "47 11/9/15 20:59 22.377 2.813 33.205 20.05\n", + "48 11/9/15 20:53 22.395 2.913 33.206 20.05\n", + "49 11/9/15 20:47 22.395 2.818 33.206 20.05\n", + "50 11/9/15 20:41 22.379 2.877 33.205 20.07\n", + "51 11/9/15 20:35 22.388 2.921 33.206 20.07\n", + "52 11/9/15 20:29 22.387 2.971 33.205 20.07\n", + "53 11/9/15 20:23 22.392 2.983 33.206 20.07\n", + "54 11/9/15 20:17 22.402 3.061 33.206 20.07\n", + "55 11/9/15 20:11 22.404 2.961 33.206 20.08\n", + "56 11/9/15 20:05 22.409 3.065 33.204 20.05\n", + "57 11/9/15 19:59 22.412 3.159 33.203 20.04\n", + "58 11/9/15 19:53 22.418 3.039 33.206 20.04\n", + "59 11/9/15 19:47 22.422 3.163 33.204 20.04\n", + "60 11/9/15 19:41 22.423 3.193 33.206 20.03\n", + "61 11/9/15 19:34 22.423 3.204 33.202 20.05\n", + "62 11/9/15 19:28 22.413 3.254 33.200 20.02\n", "63 11/9/15 19:22 22.418 3.316 33.202 19.96\n", "64 11/9/15 19:16 22.410 3.209 33.200 19.96\n", - "65 11/9/15 19:10 22.426 3.328 33.203 19.95" + "65 11/9/15 19:10 22.426 3.328 33.203 19.95\n", + "\n", + "[66 rows x 5 columns]" ] }, - "execution_count": 37, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# tail works the same way\n", - "df_sio.tail(3)" + "# if we view the whole dataframe, only the first 30 and last 30 rows are shown\n", + "df_sio" ] }, { @@ -1901,6 +2926,8 @@ "collapsed": true }, "source": [ + "\n", + "\n", "### Indexing with bracket/dot notation, loc, iloc" ] }, @@ -1911,13 +2938,13 @@ "Pandas has three indexing methods:\n", "\n", "* `[ ]` and `.` work on labels of columns\n", - "* `.loc` works on labels of indexes\n", - "* `.iloc` works on the positions of indexes (so it only takes integers)" + "* `.loc` works on labels of indexes and columns\n", + "* `.iloc` works on the positions of indexes and columns (so it only takes integers)" ] }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 52, "metadata": { "scrolled": true }, @@ -1945,38 +2972,38 @@ " \n", " team\n", " random\n", - " integers\n", + " fibonacci\n", " \n", " \n", " \n", " \n", " a\n", " cubs\n", - " 0.305243\n", + " 0.674218\n", " 2\n", " \n", " \n", " b\n", " pirates\n", - " 0.603319\n", + " 0.553037\n", " 3\n", " \n", " \n", " c\n", " giants\n", - " 0.780504\n", + " 0.564339\n", " 5\n", " \n", " \n", " d\n", " yankees\n", - " 0.341282\n", + " 0.549570\n", " 8\n", " \n", " \n", " e\n", " donkeys\n", - " 0.427740\n", + " 0.448796\n", " 13\n", " \n", " \n", @@ -1984,15 +3011,15 @@ "" ], "text/plain": [ - " team random integers\n", - "a cubs 0.305243 2\n", - "b pirates 0.603319 3\n", - "c giants 0.780504 5\n", - "d yankees 0.341282 8\n", - "e donkeys 0.427740 13" + " team random fibonacci\n", + "a cubs 0.674218 2\n", + "b pirates 0.553037 3\n", + "c giants 0.564339 5\n", + "d yankees 0.549570 8\n", + "e donkeys 0.448796 13" ] }, - "execution_count": 38, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -2010,7 +3037,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 53, "metadata": { "scrolled": true }, @@ -2026,7 +3053,7 @@ "Name: team, dtype: object" ] }, - "execution_count": 39, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -2038,7 +3065,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -2070,27 +3097,27 @@ " \n", " a\n", " cubs\n", - " 0.305243\n", + " 0.674218\n", " \n", " \n", " b\n", " pirates\n", - " 0.603319\n", + " 0.553037\n", " \n", " \n", " c\n", " giants\n", - " 0.780504\n", + " 0.564339\n", " \n", " \n", " d\n", " yankees\n", - " 0.341282\n", + " 0.549570\n", " \n", " \n", " e\n", " donkeys\n", - " 0.427740\n", + " 0.448796\n", " \n", " \n", "\n", @@ -2098,14 +3125,14 @@ ], "text/plain": [ " team random\n", - "a cubs 0.305243\n", - "b pirates 0.603319\n", - "c giants 0.780504\n", - "d yankees 0.341282\n", - "e donkeys 0.427740" + "a cubs 0.674218\n", + "b pirates 0.553037\n", + "c giants 0.564339\n", + "d yankees 0.549570\n", + "e donkeys 0.448796" ] }, - "execution_count": 40, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -2124,7 +3151,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -2138,13 +3165,14 @@ "Name: team, dtype: object" ] }, - "execution_count": 41, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# if the column name has only alpha-numerics, we can use a dot instead of brackets and quotes\n", + "# if the column name has only alpha-numerics (including underscores), \n", + "# we can use a dot instead of brackets and quotes\n", "df.team" ] }, @@ -2157,7 +3185,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 56, "metadata": { "scrolled": true }, @@ -2165,13 +3193,13 @@ { "data": { "text/plain": [ - "team cubs\n", - "random 0.305243\n", - "integers 2\n", + "team cubs\n", + "random 0.674218\n", + "fibonacci 2\n", "Name: a, dtype: object" ] }, - "execution_count": 42, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -2183,7 +3211,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 57, "metadata": {}, "outputs": [ { @@ -2209,20 +3237,20 @@ " \n", " team\n", " random\n", - " integers\n", + " fibonacci\n", " \n", " \n", " \n", " \n", " a\n", " cubs\n", - " 0.305243\n", + " 0.674218\n", " 2\n", " \n", " \n", " d\n", " yankees\n", - " 0.341282\n", + " 0.549570\n", " 8\n", " \n", " \n", @@ -2230,12 +3258,12 @@ "" ], "text/plain": [ - " team random integers\n", - "a cubs 0.305243 2\n", - "d yankees 0.341282 8" + " team random fibonacci\n", + "a cubs 0.674218 2\n", + "d yankees 0.549570 8" ] }, - "execution_count": 43, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -2254,7 +3282,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 58, "metadata": { "scrolled": true }, @@ -2262,13 +3290,13 @@ { "data": { "text/plain": [ - "team cubs\n", - "random 0.305243\n", - "integers 2\n", + "team cubs\n", + "random 0.674218\n", + "fibonacci 2\n", "Name: a, dtype: object" ] }, - "execution_count": 44, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -2280,7 +3308,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 59, "metadata": {}, "outputs": [ { @@ -2306,20 +3334,20 @@ " \n", " team\n", " random\n", - " integers\n", + " fibonacci\n", " \n", " \n", " \n", " \n", " a\n", " cubs\n", - " 0.305243\n", + " 0.674218\n", " 2\n", " \n", " \n", " d\n", " yankees\n", - " 0.341282\n", + " 0.549570\n", " 8\n", " \n", " \n", @@ -2327,12 +3355,12 @@ "" ], "text/plain": [ - " team random integers\n", - "a cubs 0.305243 2\n", - "d yankees 0.341282 8" + " team random fibonacci\n", + "a cubs 0.674218 2\n", + "d yankees 0.549570 8" ] }, - "execution_count": 45, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } @@ -2344,7 +3372,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -2370,26 +3398,26 @@ " \n", " team\n", " random\n", - " integers\n", + " fibonacci\n", " \n", " \n", " \n", " \n", " c\n", " giants\n", - " 0.780504\n", + " 0.564339\n", " 5\n", " \n", " \n", " d\n", " yankees\n", - " 0.341282\n", + " 0.549570\n", " 8\n", " \n", " \n", " e\n", " donkeys\n", - " 0.427740\n", + " 0.448796\n", " 13\n", " \n", " \n", @@ -2397,13 +3425,13 @@ "" ], "text/plain": [ - " team random integers\n", - "c giants 0.780504 5\n", - "d yankees 0.341282 8\n", - "e donkeys 0.427740 13" + " team random fibonacci\n", + "c giants 0.564339 5\n", + "d yankees 0.549570 8\n", + "e donkeys 0.448796 13" ] }, - "execution_count": 46, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } @@ -2415,7 +3443,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 61, "metadata": { "scrolled": true }, @@ -2442,7 +3470,7 @@ " \n", " \n", " team\n", - " integers\n", + " fibonacci\n", " \n", " \n", " \n", @@ -2476,15 +3504,15 @@ "" ], "text/plain": [ - " team integers\n", - "a cubs 2\n", - "b pirates 3\n", - "c giants 5\n", - "d yankees 8\n", - "e donkeys 13" + " team fibonacci\n", + "a cubs 2\n", + "b pirates 3\n", + "c giants 5\n", + "d yankees 8\n", + "e donkeys 13" ] }, - "execution_count": 47, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } @@ -2498,12 +3526,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### transpose" ] }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -2545,14 +3575,14 @@ " \n", " \n", " random\n", - " 0.305243\n", - " 0.603319\n", - " 0.780504\n", - " 0.341282\n", - " 0.42774\n", + " 0.674218\n", + " 0.553037\n", + " 0.564339\n", + " 0.54957\n", + " 0.448796\n", " \n", " \n", - " integers\n", + " fibonacci\n", " 2\n", " 3\n", " 5\n", @@ -2564,13 +3594,13 @@ "" ], "text/plain": [ - " a b c d e\n", - "team cubs pirates giants yankees donkeys\n", - "random 0.305243 0.603319 0.780504 0.341282 0.42774\n", - "integers 2 3 5 8 13" + " a b c d e\n", + "team cubs pirates giants yankees donkeys\n", + "random 0.674218 0.553037 0.564339 0.54957 0.448796\n", + "fibonacci 2 3 5 8 13" ] }, - "execution_count": 48, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -2581,7 +3611,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 63, "metadata": {}, "outputs": [ { @@ -2623,14 +3653,14 @@ " \n", " \n", " random\n", - " 0.305243\n", - " 0.603319\n", - " 0.780504\n", - " 0.341282\n", - " 0.42774\n", + " 0.674218\n", + " 0.553037\n", + " 0.564339\n", + " 0.54957\n", + " 0.448796\n", " \n", " \n", - " integers\n", + " fibonacci\n", " 2\n", " 3\n", " 5\n", @@ -2642,13 +3672,13 @@ "" ], "text/plain": [ - " a b c d e\n", - "team cubs pirates giants yankees donkeys\n", - "random 0.305243 0.603319 0.780504 0.341282 0.42774\n", - "integers 2 3 5 8 13" + " a b c d e\n", + "team cubs pirates giants yankees donkeys\n", + "random 0.674218 0.553037 0.564339 0.54957 0.448796\n", + "fibonacci 2 3 5 8 13" ] }, - "execution_count": 49, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } @@ -2661,21 +3691,24 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### to_csv, to_excel" ] }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 64, "metadata": {}, "outputs": [], "source": [ + "# to_csv with defaults (sep=',')\n", "df.to_csv('teams.csv')" ] }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 65, "metadata": {}, "outputs": [], "source": [ @@ -2685,24 +3718,34 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "# with index label\n", + "df.to_csv('teams.csv', index_label='index')" + ] + }, + { + "cell_type": "code", + "execution_count": 67, "metadata": {}, "outputs": [], "source": [ "# to_excel requires the openpyxl package\n", - "df.to_excel('teams.xlsx')" + "df.to_excel('teams.xlsx', index_label='index')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### read_csv (again), read_excel" + "### read_csv (revisited), read_excel" ] }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 68, "metadata": {}, "outputs": [ { @@ -2726,10 +3769,10 @@ " \n", " \n", " \n", - " Unnamed: 0\n", + " index\n", " team\n", " random\n", - " integers\n", + " fibonacci\n", " \n", " \n", " \n", @@ -2737,35 +3780,35 @@ " 0\n", " a\n", " cubs\n", - " 0.305243\n", + " 0.674218\n", " 2\n", " \n", " \n", " 1\n", " b\n", " pirates\n", - " 0.603319\n", + " 0.553037\n", " 3\n", " \n", " \n", " 2\n", " c\n", " giants\n", - " 0.780504\n", + " 0.564339\n", " 5\n", " \n", " \n", " 3\n", " d\n", " yankees\n", - " 0.341282\n", + " 0.549570\n", " 8\n", " \n", " \n", " 4\n", " e\n", " donkeys\n", - " 0.427740\n", + " 0.448796\n", " 13\n", " \n", " \n", @@ -2773,26 +3816,27 @@ "" ], "text/plain": [ - " Unnamed: 0 team random integers\n", - "0 a cubs 0.305243 2\n", - "1 b pirates 0.603319 3\n", - "2 c giants 0.780504 5\n", - "3 d yankees 0.341282 8\n", - "4 e donkeys 0.427740 13" + " index team random fibonacci\n", + "0 a cubs 0.674218 2\n", + "1 b pirates 0.553037 3\n", + "2 c giants 0.564339 5\n", + "3 d yankees 0.549570 8\n", + "4 e donkeys 0.448796 13" ] }, - "execution_count": 53, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# read_csv with defaults\n", "pd.read_csv('teams.csv')" ] }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 69, "metadata": {}, "outputs": [ { @@ -2818,38 +3862,44 @@ " \n", " team\n", " random\n", - " integers\n", + " fibonacci\n", + " \n", + " \n", + " index\n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " a\n", " cubs\n", - " 0.305243\n", + " 0.674218\n", " 2\n", " \n", " \n", " b\n", " pirates\n", - " 0.603319\n", + " 0.553037\n", " 3\n", " \n", " \n", " c\n", " giants\n", - " 0.780504\n", + " 0.564339\n", " 5\n", " \n", " \n", " d\n", " yankees\n", - " 0.341282\n", + " 0.549570\n", " 8\n", " \n", " \n", " e\n", " donkeys\n", - " 0.427740\n", + " 0.448796\n", " 13\n", " \n", " \n", @@ -2857,39 +3907,41 @@ "" ], "text/plain": [ - " team random integers\n", - "a cubs 0.305243 2\n", - "b pirates 0.603319 3\n", - "c giants 0.780504 5\n", - "d yankees 0.341282 8\n", - "e donkeys 0.427740 13" + " team random fibonacci\n", + "index \n", + "a cubs 0.674218 2\n", + "b pirates 0.553037 3\n", + "c giants 0.564339 5\n", + "d yankees 0.549570 8\n", + "e donkeys 0.448796 13" ] }, - "execution_count": 54, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# read_csv specifying first column of csv as index_col\n", "df1 = pd.read_csv('teams.csv', index_col=0)\n", "df1" ] }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 70, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "team object\n", - "random float64\n", - "integers int64\n", + "team object\n", + "random float64\n", + "fibonacci int64\n", "dtype: object" ] }, - "execution_count": 55, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -2901,18 +3953,19 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 71, "metadata": {}, "outputs": [], "source": [ - "# we can specify the dtypes when we read_csv\n", + "# again, we can specify the dtypes when we read_csv\n", "df2 = pd.read_csv('teams.csv', index_col=0, dtype=object)\n", - "df3 = pd.read_csv('teams.csv', index_col=0, dtype={'team': object, 'random': np.float, 'integers': np.int})" + "df3 = pd.read_csv('teams.csv', index_col=0, \n", + " dtype={'team': object, 'random': np.float, 'integers': np.int})" ] }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 72, "metadata": { "scrolled": true }, @@ -2920,13 +3973,13 @@ { "data": { "text/plain": [ - "team object\n", - "random object\n", - "integers object\n", + "team object\n", + "random object\n", + "fibonacci object\n", "dtype: object" ] }, - "execution_count": 57, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } @@ -2938,19 +3991,19 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 73, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "team object\n", - "random float64\n", - "integers int64\n", + "team object\n", + "random float64\n", + "fibonacci int64\n", "dtype: object" ] }, - "execution_count": 58, + "execution_count": 73, "metadata": {}, "output_type": "execute_result" } @@ -2962,7 +4015,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 74, "metadata": {}, "outputs": [ { @@ -2988,38 +4041,38 @@ " \n", " team\n", " random\n", - " integers\n", + " fibonacci\n", " \n", " \n", " \n", " \n", " a\n", " cubs\n", - " 0.305243\n", + " 0.674218\n", " 2\n", " \n", " \n", " b\n", " pirates\n", - " 0.603319\n", + " 0.553037\n", " 3\n", " \n", " \n", " c\n", " giants\n", - " 0.780504\n", + " 0.564339\n", " 5\n", " \n", " \n", " d\n", " yankees\n", - " 0.341282\n", + " 0.549570\n", " 8\n", " \n", " \n", " e\n", " donkeys\n", - " 0.427740\n", + " 0.448796\n", " 13\n", " \n", " \n", @@ -3027,15 +4080,15 @@ "" ], "text/plain": [ - " team random integers\n", - "a cubs 0.305243 2\n", - "b pirates 0.603319 3\n", - "c giants 0.780504 5\n", - "d yankees 0.341282 8\n", - "e donkeys 0.427740 13" + " team random fibonacci\n", + "a cubs 0.674218 2\n", + "b pirates 0.553037 3\n", + "c giants 0.564339 5\n", + "d yankees 0.549570 8\n", + "e donkeys 0.448796 13" ] }, - "execution_count": 59, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -3048,7 +4101,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 75, "metadata": {}, "outputs": [ { @@ -3074,38 +4127,44 @@ " \n", " team\n", " random\n", - " integers\n", + " fibonacci\n", + " \n", + " \n", + " index\n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " a\n", " cubs\n", - " 0.305243\n", + " 0.674218\n", " 2\n", " \n", " \n", " b\n", " pirates\n", - " 0.603319\n", + " 0.553037\n", " 3\n", " \n", " \n", " c\n", " giants\n", - " 0.780504\n", + " 0.564339\n", " 5\n", " \n", " \n", " d\n", " yankees\n", - " 0.341282\n", + " 0.549570\n", " 8\n", " \n", " \n", " e\n", " donkeys\n", - " 0.427740\n", + " 0.448796\n", " 13\n", " \n", " \n", @@ -3113,15 +4172,16 @@ "" ], "text/plain": [ - " team random integers\n", - "a cubs 0.305243 2\n", - "b pirates 0.603319 3\n", - "c giants 0.780504 5\n", - "d yankees 0.341282 8\n", - "e donkeys 0.427740 13" + " team random fibonacci\n", + "index \n", + "a cubs 0.674218 2\n", + "b pirates 0.553037 3\n", + "c giants 0.564339 5\n", + "d yankees 0.549570 8\n", + "e donkeys 0.448796 13" ] }, - "execution_count": 60, + "execution_count": 75, "metadata": {}, "output_type": "execute_result" } @@ -3136,6 +4196,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### to_datetime\n", "\n", "We will cover time series in greater detail in a future lesson." @@ -3143,7 +4205,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -3228,7 +4290,7 @@ "4 11/10/15 1:17 22.316 3.471 33.199 19.95" ] }, - "execution_count": 61, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } @@ -3239,7 +4301,32 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Date object\n", + "chl (ug/L) float64\n", + "pres (dbar) float64\n", + "sal (PSU) float64\n", + "temp (C) float64\n", + "dtype: object" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_sio.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 78, "metadata": {}, "outputs": [ { @@ -3253,7 +4340,7 @@ "Name: Date, dtype: datetime64[ns]" ] }, - "execution_count": 62, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } @@ -3265,7 +4352,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 79, "metadata": {}, "outputs": [], "source": [ @@ -3274,7 +4361,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 80, "metadata": {}, "outputs": [ { @@ -3359,7 +4446,7 @@ "4 2015-11-10 01:17:00 22.316 3.471 33.199 19.95" ] }, - "execution_count": 64, + "execution_count": 80, "metadata": {}, "output_type": "execute_result" } @@ -3370,8 +4457,46 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 81, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Date datetime64[ns]\n", + "chl (ug/L) float64\n", + "pres (dbar) float64\n", + "sal (PSU) float64\n", + "temp (C) float64\n", + "dtype: object" + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_sio.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 82, "metadata": {}, + "outputs": [], + "source": [ + "# to do this in a single step, we can use read_csv's parse_dates keyword\n", + "df_sio4 = pd.read_csv('../data/scripps_pier_20151110.csv', index_col=None,\n", + " parse_dates=['Date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": { + "scrolled": false + }, "outputs": [ { "data": { @@ -3455,14 +4580,174 @@ "4 2015-11-10 01:17:00 22.316 3.471 33.199 19.95" ] }, - "execution_count": 65, + "execution_count": 83, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# to do this in a single step, we can use read_csv's parse_dates keyword\n", - "pd.read_csv('scripps_pier_20151110.csv', index_col=None, parse_dates=['Date']).head()" + "df_sio4.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Date datetime64[ns]\n", + "chl (ug/L) float64\n", + "pres (dbar) float64\n", + "sal (PSU) float64\n", + "temp (C) float64\n", + "dtype: object" + ] + }, + "execution_count": 84, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_sio4.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [], + "source": [ + "# for maximal control, this can be combined with dtype\n", + "df_sio5 = pd.read_csv('../data/scripps_pier_20151110.csv', index_col=None,\n", + " parse_dates=['Date'], dtype={'temp (C)': str}).head()" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Date chl (ug/L) pres (dbar) sal (PSU) temp (C)\n", + "0 2015-11-10 01:42:00 22.307 3.712 33.199 19.95\n", + "1 2015-11-10 01:35:00 22.311 3.588 33.201 19.94\n", + "2 2015-11-10 01:29:00 22.305 3.541 33.200 19.95\n", + "3 2015-11-10 01:23:00 22.323 3.463 33.200 19.95\n", + "4 2015-11-10 01:17:00 22.316 3.471 33.199 19.95" + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_sio5.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Date datetime64[ns]\n", + "chl (ug/L) float64\n", + "pres (dbar) float64\n", + "sal (PSU) float64\n", + "temp (C) object\n", + "dtype: object" + ] + }, + "execution_count": 87, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_sio5.dtypes" ] }, { @@ -3490,7 +4775,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.0" } }, "nbformat": 4, diff --git a/lessons/lesson12.ipynb b/lessons/lesson12.ipynb index 6f2f258..3922281 100644 --- a/lessons/lesson12.ipynb +++ b/lessons/lesson12.ipynb @@ -6,21 +6,30 @@ "source": [ "## Lesson 12 - Pandas Part II\n", "\n", - "In this lesson we will cover some more advanced features of [Pandas](http://pandas.pydata.org):\n", + "In this lesson we will cover some more advanced features of [Pandas](http://pandas.pydata.org).\n", "\n", - "* concat\n", - "* append\n", - "* merge\n", - "* join\n", - "* set_option\n", - "* stack\n", - "* unstack\n", - "* values\n", - "* apply\n", - "* lambda\n", - "* sort_index\n", - "* sort_values\n", - "* isnull" + "### Readings\n", + "\n", + "* McKinney: [Chapter 6. Data Loading, Storage, and File Formats](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/data-loading-storage-and-file-formats/io_html)\n", + "* McKinney: [Chapter 7. Data Cleaning and Preparation](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/data-cleaning-and-preparation/data_preparation_html)\n", + "* McKinney: [Chapter 8. Data Wrangling: Join, Combine, and Reshape](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/data-wrangling-join-combine-and-reshape/wrangling_html)\n", + "\n", + "### Table of Contents\n", + "\n", + "* [concat](#concat)\n", + "* [append](#append)\n", + "* [merge](#merge)\n", + "* [join](#join)\n", + "* [set_option](#set_option)\n", + "* [stack](#stack)\n", + "* [unstack](#unstack)\n", + "* [values](#values)\n", + "* [apply](#apply)\n", + "* [lambda](#lambda)\n", + "* [sort_index](#sort_index)\n", + "* [sort_values](#sort_values)\n", + "* [isnull](#isnull)\n", + "* [fillna](#fillna)" ] }, { @@ -38,6 +47,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Merging, joining, and concatenating DataFrames\n", "See [pandas documentation](http://pandas.pydata.org/pandas-docs/stable/merging.html) for more information." ] @@ -58,7 +69,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**concat**\n", + "#### concat\n", "\n", " pd.concat(objs, axis=0, join='outer', join_axes=None, \n", " ignore_index=False, keys=None, levels=None, names=None, \n", @@ -897,6 +908,20 @@ "execution_count": 11, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/ipykernel_launcher.py:1: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n", + "of pandas will change to not sort by default.\n", + "\n", + "To accept the future behavior, pass 'sort=False'.\n", + "\n", + "To retain the current behavior and silence the warning, pass 'sort=True'.\n", + "\n", + " \"\"\"Entry point for launching an IPython kernel.\n" + ] + }, { "data": { "text/html": [ @@ -1335,6 +1360,20 @@ "execution_count": 15, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/ipykernel_launcher.py:2: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n", + "of pandas will change to not sort by default.\n", + "\n", + "To accept the future behavior, pass 'sort=False'.\n", + "\n", + "To retain the current behavior and silence the warning, pass 'sort=True'.\n", + "\n", + " \n" + ] + }, { "data": { "text/html": [ @@ -1617,7 +1656,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**append**" + "\n", + "\n", + "#### append" ] }, { @@ -1741,6 +1782,20 @@ "execution_count": 19, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/pandas/core/frame.py:6211: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n", + "of pandas will change to not sort by default.\n", + "\n", + "To accept the future behavior, pass 'sort=False'.\n", + "\n", + "To retain the current behavior and silence the warning, pass 'sort=True'.\n", + "\n", + " sort=sort)\n" + ] + }, { "data": { "text/html": [ @@ -1863,7 +1918,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**merge**\n", + "\n", + "\n", + "#### merge\n", "\n", " pd.merge(left, right, how='inner', on=None, left_on=None, \n", " right_on=None, left_index=False, right_index=False,\n", @@ -1923,46 +1980,46 @@ " \n", " \n", " \n", + " key\n", " A\n", " B\n", - " key\n", " \n", " \n", " \n", " \n", " 0\n", + " K0\n", " A0\n", " B0\n", - " K0\n", " \n", " \n", " 1\n", + " K1\n", " A1\n", " B1\n", - " K1\n", " \n", " \n", " 2\n", + " K2\n", " A2\n", " B2\n", - " K2\n", " \n", " \n", " 3\n", + " K3\n", " A3\n", " B3\n", - " K3\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B key\n", - "0 A0 B0 K0\n", - "1 A1 B1 K1\n", - "2 A2 B2 K2\n", - "3 A3 B3 K3" + " key A B\n", + "0 K0 A0 B0\n", + "1 K1 A1 B1\n", + "2 K2 A2 B2\n", + "3 K3 A3 B3" ] }, "execution_count": 21, @@ -2000,46 +2057,46 @@ " \n", " \n", " \n", + " key\n", " C\n", " D\n", - " key\n", " \n", " \n", " \n", " \n", " 0\n", + " K3\n", " C0\n", " D0\n", - " K3\n", " \n", " \n", " 1\n", + " K2\n", " C1\n", " D1\n", - " K2\n", " \n", " \n", " 2\n", + " K1\n", " C2\n", " D2\n", - " K1\n", " \n", " \n", " 3\n", + " K0\n", " C3\n", " D3\n", - " K0\n", " \n", " \n", "\n", "" ], "text/plain": [ - " C D key\n", - "0 C0 D0 K3\n", - "1 C1 D1 K2\n", - "2 C2 D2 K1\n", - "3 C3 D3 K0" + " key C D\n", + "0 K3 C0 D0\n", + "1 K2 C1 D1\n", + "2 K1 C2 D2\n", + "3 K0 C3 D3" ] }, "execution_count": 22, @@ -2077,9 +2134,9 @@ " \n", " \n", " \n", + " key\n", " A\n", " B\n", - " key\n", " C\n", " D\n", " \n", @@ -2087,33 +2144,33 @@ " \n", " \n", " 0\n", + " K0\n", " A0\n", " B0\n", - " K0\n", " C3\n", " D3\n", " \n", " \n", " 1\n", + " K1\n", " A1\n", " B1\n", - " K1\n", " C2\n", " D2\n", " \n", " \n", " 2\n", + " K2\n", " A2\n", " B2\n", - " K2\n", " C1\n", " D1\n", " \n", " \n", " 3\n", + " K3\n", " A3\n", " B3\n", - " K3\n", " C0\n", " D0\n", " \n", @@ -2122,11 +2179,11 @@ "" ], "text/plain": [ - " A B key C D\n", - "0 A0 B0 K0 C3 D3\n", - "1 A1 B1 K1 C2 D2\n", - "2 A2 B2 K2 C1 D1\n", - "3 A3 B3 K3 C0 D0" + " key A B C D\n", + "0 K0 A0 B0 C3 D3\n", + "1 K1 A1 B1 C2 D2\n", + "2 K2 A2 B2 C1 D1\n", + "3 K3 A3 B3 C0 D0" ] }, "execution_count": 23, @@ -2181,51 +2238,51 @@ " \n", " \n", " \n", - " A\n", - " B\n", " key1\n", " key2\n", + " A\n", + " B\n", " \n", " \n", " \n", " \n", " 0\n", - " A0\n", - " B0\n", " K0\n", " K0\n", + " A0\n", + " B0\n", " \n", " \n", " 1\n", - " A1\n", - " B1\n", " K0\n", " K1\n", + " A1\n", + " B1\n", " \n", " \n", " 2\n", - " A2\n", - " B2\n", " K1\n", " K0\n", + " A2\n", + " B2\n", " \n", " \n", " 3\n", - " A3\n", - " B3\n", " K2\n", " K1\n", + " A3\n", + " B3\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B key1 key2\n", - "0 A0 B0 K0 K0\n", - "1 A1 B1 K0 K1\n", - "2 A2 B2 K1 K0\n", - "3 A3 B3 K2 K1" + " key1 key2 A B\n", + "0 K0 K0 A0 B0\n", + "1 K0 K1 A1 B1\n", + "2 K1 K0 A2 B2\n", + "3 K2 K1 A3 B3" ] }, "execution_count": 25, @@ -2263,51 +2320,51 @@ " \n", " \n", " \n", - " C\n", - " D\n", " key1\n", " key2\n", + " C\n", + " D\n", " \n", " \n", " \n", " \n", " 0\n", - " C0\n", - " D0\n", " K0\n", " K0\n", + " C0\n", + " D0\n", " \n", " \n", " 1\n", - " C1\n", - " D1\n", " K1\n", " K0\n", + " C1\n", + " D1\n", " \n", " \n", " 2\n", - " C2\n", - " D2\n", " K1\n", " K0\n", + " C2\n", + " D2\n", " \n", " \n", " 3\n", - " C3\n", - " D3\n", " K2\n", " K0\n", + " C3\n", + " D3\n", " \n", " \n", "\n", "" ], "text/plain": [ - " C D key1 key2\n", - "0 C0 D0 K0 K0\n", - "1 C1 D1 K1 K0\n", - "2 C2 D2 K1 K0\n", - "3 C3 D3 K2 K0" + " key1 key2 C D\n", + "0 K0 K0 C0 D0\n", + "1 K1 K0 C1 D1\n", + "2 K1 K0 C2 D2\n", + "3 K2 K0 C3 D3" ] }, "execution_count": 26, @@ -2345,10 +2402,10 @@ " \n", " \n", " \n", - " A\n", - " B\n", " key1\n", " key2\n", + " A\n", + " B\n", " C\n", " D\n", " \n", @@ -2356,28 +2413,28 @@ " \n", " \n", " 0\n", - " A0\n", - " B0\n", " K0\n", " K0\n", + " A0\n", + " B0\n", " C0\n", " D0\n", " \n", " \n", " 1\n", - " A2\n", - " B2\n", " K1\n", " K0\n", + " A2\n", + " B2\n", " C1\n", " D1\n", " \n", " \n", " 2\n", - " A2\n", - " B2\n", " K1\n", " K0\n", + " A2\n", + " B2\n", " C2\n", " D2\n", " \n", @@ -2386,10 +2443,10 @@ "" ], "text/plain": [ - " A B key1 key2 C D\n", - "0 A0 B0 K0 K0 C0 D0\n", - "1 A2 B2 K1 K0 C1 D1\n", - "2 A2 B2 K1 K0 C2 D2" + " key1 key2 A B C D\n", + "0 K0 K0 A0 B0 C0 D0\n", + "1 K1 K0 A2 B2 C1 D1\n", + "2 K1 K0 A2 B2 C2 D2" ] }, "execution_count": 27, @@ -2443,10 +2500,10 @@ " \n", " \n", " \n", - " A\n", - " B\n", " key1\n", " key2\n", + " A\n", + " B\n", " C\n", " D\n", " \n", @@ -2454,46 +2511,46 @@ " \n", " \n", " 0\n", - " A0\n", - " B0\n", " K0\n", " K0\n", + " A0\n", + " B0\n", " C0\n", " D0\n", " \n", " \n", " 1\n", - " A1\n", - " B1\n", " K0\n", " K1\n", + " A1\n", + " B1\n", " NaN\n", " NaN\n", " \n", " \n", " 2\n", - " A2\n", - " B2\n", " K1\n", " K0\n", + " A2\n", + " B2\n", " C1\n", " D1\n", " \n", " \n", " 3\n", - " A2\n", - " B2\n", " K1\n", " K0\n", + " A2\n", + " B2\n", " C2\n", " D2\n", " \n", " \n", " 4\n", - " A3\n", - " B3\n", " K2\n", " K1\n", + " A3\n", + " B3\n", " NaN\n", " NaN\n", " \n", @@ -2502,12 +2559,12 @@ "" ], "text/plain": [ - " A B key1 key2 C D\n", - "0 A0 B0 K0 K0 C0 D0\n", - "1 A1 B1 K0 K1 NaN NaN\n", - "2 A2 B2 K1 K0 C1 D1\n", - "3 A2 B2 K1 K0 C2 D2\n", - "4 A3 B3 K2 K1 NaN NaN" + " key1 key2 A B C D\n", + "0 K0 K0 A0 B0 C0 D0\n", + "1 K0 K1 A1 B1 NaN NaN\n", + "2 K1 K0 A2 B2 C1 D1\n", + "3 K1 K0 A2 B2 C2 D2\n", + "4 K2 K1 A3 B3 NaN NaN" ] }, "execution_count": 28, @@ -2545,10 +2602,10 @@ " \n", " \n", " \n", - " A\n", - " B\n", " key1\n", " key2\n", + " A\n", + " B\n", " C\n", " D\n", " \n", @@ -2556,37 +2613,37 @@ " \n", " \n", " 0\n", - " A0\n", - " B0\n", " K0\n", " K0\n", + " A0\n", + " B0\n", " C0\n", " D0\n", " \n", " \n", " 1\n", - " A2\n", - " B2\n", " K1\n", " K0\n", + " A2\n", + " B2\n", " C1\n", " D1\n", " \n", " \n", " 2\n", - " A2\n", - " B2\n", " K1\n", " K0\n", + " A2\n", + " B2\n", " C2\n", " D2\n", " \n", " \n", " 3\n", - " NaN\n", - " NaN\n", " K2\n", " K0\n", + " NaN\n", + " NaN\n", " C3\n", " D3\n", " \n", @@ -2595,11 +2652,11 @@ "" ], "text/plain": [ - " A B key1 key2 C D\n", - "0 A0 B0 K0 K0 C0 D0\n", - "1 A2 B2 K1 K0 C1 D1\n", - "2 A2 B2 K1 K0 C2 D2\n", - "3 NaN NaN K2 K0 C3 D3" + " key1 key2 A B C D\n", + "0 K0 K0 A0 B0 C0 D0\n", + "1 K1 K0 A2 B2 C1 D1\n", + "2 K1 K0 A2 B2 C2 D2\n", + "3 K2 K0 NaN NaN C3 D3" ] }, "execution_count": 29, @@ -2638,10 +2695,10 @@ " \n", " \n", " \n", - " A\n", - " B\n", " key1\n", " key2\n", + " A\n", + " B\n", " C\n", " D\n", " \n", @@ -2649,55 +2706,55 @@ " \n", " \n", " 0\n", - " A0\n", - " B0\n", " K0\n", " K0\n", + " A0\n", + " B0\n", " C0\n", " D0\n", " \n", " \n", " 1\n", - " A1\n", - " B1\n", " K0\n", " K1\n", + " A1\n", + " B1\n", " NaN\n", " NaN\n", " \n", " \n", " 2\n", - " A2\n", - " B2\n", " K1\n", " K0\n", + " A2\n", + " B2\n", " C1\n", " D1\n", " \n", " \n", " 3\n", - " A2\n", - " B2\n", " K1\n", " K0\n", + " A2\n", + " B2\n", " C2\n", " D2\n", " \n", " \n", " 4\n", - " A3\n", - " B3\n", " K2\n", " K1\n", + " A3\n", + " B3\n", " NaN\n", " NaN\n", " \n", " \n", " 5\n", - " NaN\n", - " NaN\n", " K2\n", " K0\n", + " NaN\n", + " NaN\n", " C3\n", " D3\n", " \n", @@ -2706,13 +2763,13 @@ "" ], "text/plain": [ - " A B key1 key2 C D\n", - "0 A0 B0 K0 K0 C0 D0\n", - "1 A1 B1 K0 K1 NaN NaN\n", - "2 A2 B2 K1 K0 C1 D1\n", - "3 A2 B2 K1 K0 C2 D2\n", - "4 A3 B3 K2 K1 NaN NaN\n", - "5 NaN NaN K2 K0 C3 D3" + " key1 key2 A B C D\n", + "0 K0 K0 A0 B0 C0 D0\n", + "1 K0 K1 A1 B1 NaN NaN\n", + "2 K1 K0 A2 B2 C1 D1\n", + "3 K1 K0 A2 B2 C2 D2\n", + "4 K2 K1 A3 B3 NaN NaN\n", + "5 K2 K0 NaN NaN C3 D3" ] }, "execution_count": 30, @@ -2751,10 +2808,10 @@ " \n", " \n", " \n", - " A\n", - " B\n", " key1\n", " key2\n", + " A\n", + " B\n", " C\n", " D\n", " \n", @@ -2762,28 +2819,28 @@ " \n", " \n", " 0\n", - " A0\n", - " B0\n", " K0\n", " K0\n", + " A0\n", + " B0\n", " C0\n", " D0\n", " \n", " \n", " 1\n", - " A2\n", - " B2\n", " K1\n", " K0\n", + " A2\n", + " B2\n", " C1\n", " D1\n", " \n", " \n", " 2\n", - " A2\n", - " B2\n", " K1\n", " K0\n", + " A2\n", + " B2\n", " C2\n", " D2\n", " \n", @@ -2792,10 +2849,10 @@ "" ], "text/plain": [ - " A B key1 key2 C D\n", - "0 A0 B0 K0 K0 C0 D0\n", - "1 A2 B2 K1 K0 C1 D1\n", - "2 A2 B2 K1 K0 C2 D2" + " key1 key2 A B C D\n", + "0 K0 K0 A0 B0 C0 D0\n", + "1 K1 K0 A2 B2 C1 D1\n", + "2 K1 K0 A2 B2 C2 D2" ] }, "execution_count": 31, @@ -2816,7 +2873,7 @@ }, "outputs": [], "source": [ - "# The merge indicator\n", + "# merge indicator\n", "df1 = pd.DataFrame({'col1':[0,1], 'col_left':['a','b']})\n", "df2 = pd.DataFrame({'col1':[1,2,2],'col_right':[2,2,2]})" ] @@ -3026,7 +3083,7 @@ } ], "source": [ - "# Note: Argument indicator=True is an option with pandas 0.17.0 and greater\n", + "# note: the argument indicator=True is an option with pandas 0.17.0 and greater\n", "result = pd.merge(df1, df2, on='col1', how='outer', indicator='Merged')\n", "result" ] @@ -3035,6 +3092,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "#### df.join()\n", "\n", "The related DataFrame.join method, uses merge internally for the index-on-index and index-on-column(s) joins, **but joins on indexes by default** rather than trying to join on common columns (the default behavior for merge). If you are joining on index, you may wish to use DataFrame.join to save yourself some typing." @@ -3490,7 +3549,7 @@ "metadata": {}, "outputs": [], "source": [ - "# Overlapping value columns: suffixes\n", + "# overlapping value columns: suffixes\n", "left = pd.DataFrame({'k': ['K0', 'K1', 'K2'], 'v': [1, 2, 3]})\n", "right = pd.DataFrame({'k': ['K0', 'K0', 'K3'], 'v': [4, 5, 6]})" ] @@ -3796,35 +3855,35 @@ " \n", " \n", " \n", - " count\n", " gene\n", + " count\n", " \n", " \n", " \n", " \n", " 0\n", - " 345\n", " cds1\n", + " 345\n", " \n", " \n", " 1\n", - " 887\n", " cds3\n", + " 887\n", " \n", " \n", " 2\n", - " 459\n", " cds6\n", + " 459\n", " \n", " \n", "\n", "" ], "text/plain": [ - " count gene\n", - "0 345 cds1\n", - "1 887 cds3\n", - "2 459 cds6" + " gene count\n", + "0 cds1 345\n", + "1 cds3 887\n", + "2 cds6 459" ] }, "execution_count": 49, @@ -3862,53 +3921,53 @@ " \n", " \n", " \n", - " description\n", " gene\n", + " description\n", " \n", " \n", " \n", " \n", " 0\n", - " primase\n", " cds1\n", + " primase\n", " \n", " \n", " 1\n", - " ligase\n", " cds2\n", + " ligase\n", " \n", " \n", " 2\n", - " aldolase\n", " cds3\n", + " aldolase\n", " \n", " \n", " 3\n", - " amylase\n", " cds4\n", + " amylase\n", " \n", " \n", " 4\n", - " polymerase\n", " cds5\n", + " polymerase\n", " \n", " \n", " 5\n", - " kinase\n", " cds6\n", + " kinase\n", " \n", " \n", "\n", "" ], "text/plain": [ - " description gene\n", - "0 primase cds1\n", - "1 ligase cds2\n", - "2 aldolase cds3\n", - "3 amylase cds4\n", - "4 polymerase cds5\n", - "5 kinase cds6" + " gene description\n", + "0 cds1 primase\n", + "1 cds2 ligase\n", + "2 cds3 aldolase\n", + "3 cds4 amylase\n", + "4 cds5 polymerase\n", + "5 cds6 kinase" ] }, "execution_count": 50, @@ -3955,28 +4014,28 @@ " \n", " \n", " \n", - " count\n", " gene\n", + " count\n", " description\n", " \n", " \n", " \n", " \n", " 0\n", - " 345\n", " cds1\n", + " 345\n", " primase\n", " \n", " \n", " 1\n", - " 887\n", " cds3\n", + " 887\n", " aldolase\n", " \n", " \n", " 2\n", - " 459\n", " cds6\n", + " 459\n", " kinase\n", " \n", " \n", @@ -3984,10 +4043,10 @@ "" ], "text/plain": [ - " count gene description\n", - "0 345 cds1 primase\n", - "1 887 cds3 aldolase\n", - "2 459 cds6 kinase" + " gene count description\n", + "0 cds1 345 primase\n", + "1 cds3 887 aldolase\n", + "2 cds6 459 kinase" ] }, "execution_count": 52, @@ -4005,7 +4064,7 @@ "metadata": {}, "outputs": [], "source": [ - "# Argument settings on and how were inferred/defaults\n", + "# argument settings on and how were inferred/defaults\n", "degs_plus_names = pd.merge(degs, names, on='gene', how='inner')" ] }, @@ -4035,28 +4094,28 @@ " \n", " \n", " \n", - " count\n", " gene\n", + " count\n", " description\n", " \n", " \n", " \n", " \n", " 0\n", - " 345\n", " cds1\n", + " 345\n", " primase\n", " \n", " \n", " 1\n", - " 887\n", " cds3\n", + " 887\n", " aldolase\n", " \n", " \n", " 2\n", - " 459\n", " cds6\n", + " 459\n", " kinase\n", " \n", " \n", @@ -4064,10 +4123,10 @@ "" ], "text/plain": [ - " count gene description\n", - "0 345 cds1 primase\n", - "1 887 cds3 aldolase\n", - "2 459 cds6 kinase" + " gene count description\n", + "0 cds1 345 primase\n", + "1 cds3 887 aldolase\n", + "2 cds6 459 kinase" ] }, "execution_count": 54, @@ -4112,8 +4171,8 @@ " \n", " \n", " \n", - " count\n", " gene\n", + " count\n", " \n", " \n", " gene\n", @@ -4124,29 +4183,29 @@ " \n", " \n", " cds1\n", - " 345\n", " cds1\n", + " 345\n", " \n", " \n", " cds3\n", - " 887\n", " cds3\n", + " 887\n", " \n", " \n", " cds6\n", - " 459\n", " cds6\n", + " 459\n", " \n", " \n", "\n", "" ], "text/plain": [ - " count gene\n", + " gene count\n", "gene \n", - "cds1 345 cds1\n", - "cds3 887 cds3\n", - "cds6 459 cds6" + "cds1 cds1 345\n", + "cds3 cds3 887\n", + "cds6 cds6 459" ] }, "execution_count": 55, @@ -4185,8 +4244,8 @@ " \n", " \n", " \n", - " description\n", " gene\n", + " description\n", " \n", " \n", " gene\n", @@ -4197,47 +4256,47 @@ " \n", " \n", " cds1\n", - " primase\n", " cds1\n", + " primase\n", " \n", " \n", " cds2\n", - " ligase\n", " cds2\n", + " ligase\n", " \n", " \n", " cds3\n", - " aldolase\n", " cds3\n", + " aldolase\n", " \n", " \n", " cds4\n", - " amylase\n", " cds4\n", + " amylase\n", " \n", " \n", " cds5\n", - " polymerase\n", " cds5\n", + " polymerase\n", " \n", " \n", " cds6\n", - " kinase\n", " cds6\n", + " kinase\n", " \n", " \n", "\n", "" ], "text/plain": [ - " description gene\n", + " gene description\n", "gene \n", - "cds1 primase cds1\n", - "cds2 ligase cds2\n", - "cds3 aldolase cds3\n", - "cds4 amylase cds4\n", - "cds5 polymerase cds5\n", - "cds6 kinase cds6" + "cds1 cds1 primase\n", + "cds2 cds2 ligase\n", + "cds3 cds3 aldolase\n", + "cds4 cds4 amylase\n", + "cds5 cds5 polymerase\n", + "cds6 cds6 kinase" ] }, "execution_count": 56, @@ -4276,10 +4335,10 @@ " \n", " \n", " \n", - " count\n", " gene_x\n", - " description\n", + " count\n", " gene_y\n", + " description\n", " \n", " \n", " gene\n", @@ -4292,35 +4351,35 @@ " \n", " \n", " cds1\n", + " cds1\n", " 345\n", " cds1\n", " primase\n", - " cds1\n", " \n", " \n", " cds3\n", + " cds3\n", " 887\n", " cds3\n", " aldolase\n", - " cds3\n", " \n", " \n", " cds6\n", + " cds6\n", " 459\n", " cds6\n", " kinase\n", - " cds6\n", " \n", " \n", "\n", "" ], "text/plain": [ - " count gene_x description gene_y\n", + " gene_x count gene_y description\n", "gene \n", - "cds1 345 cds1 primase cds1\n", - "cds3 887 cds3 aldolase cds3\n", - "cds6 459 cds6 kinase cds6" + "cds1 cds1 345 cds1 primase\n", + "cds3 cds3 887 cds3 aldolase\n", + "cds6 cds6 459 cds6 kinase" ] }, "execution_count": 57, @@ -4336,6 +4395,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### World Series example" ] }, @@ -4421,10 +4482,6 @@ " ...\n", " \n", " \n", - " 110\n", - " Boston Red Sox\n", - " \n", - " \n", " 111\n", " San Francisco Giants\n", " \n", @@ -4440,9 +4497,13 @@ " 114\n", " Houston Astros\n", " \n", + " \n", + " 115\n", + " Boston Red Sox\n", + " \n", " \n", "\n", - "

115 rows Γ— 1 columns

\n", + "

116 rows Γ— 1 columns

\n", "" ], "text/plain": [ @@ -4453,13 +4514,13 @@ "3 Chicago White Sox\n", "4 Chicago Cubs\n", ".. ...\n", - "110 Boston Red Sox\n", "111 San Francisco Giants\n", "112 Kansas City Royals\n", "113 Chicago Cubs\n", "114 Houston Astros\n", + "115 Boston Red Sox\n", "\n", - "[115 rows x 1 columns]" + "[116 rows x 1 columns]" ] }, "execution_count": 60, @@ -4594,10 +4655,6 @@ " ...\n", " \n", " \n", - " 111\n", - " San Francisco Giants\n", - " \n", - " \n", " 112\n", " Kansas City Royals\n", " \n", @@ -4611,28 +4668,32 @@ " \n", " \n", " 115\n", + " Boston Red Sox\n", + " \n", + " \n", + " 116\n", " San Diego Padres\n", " \n", " \n", "\n", - "

116 rows Γ— 1 columns

\n", + "

117 rows Γ— 1 columns

\n", "" ], "text/plain": [ - " team\n", - "0 Boston Americans\n", - "1 No World Series\n", - "2 New York Giants\n", - "3 Chicago White Sox\n", - "4 Chicago Cubs\n", - ".. ...\n", - "111 San Francisco Giants\n", - "112 Kansas City Royals\n", - "113 Chicago Cubs\n", - "114 Houston Astros\n", - "115 San Diego Padres\n", - "\n", - "[116 rows x 1 columns]" + " team\n", + "0 Boston Americans\n", + "1 No World Series\n", + "2 New York Giants\n", + "3 Chicago White Sox\n", + "4 Chicago Cubs\n", + ".. ...\n", + "112 Kansas City Royals\n", + "113 Chicago Cubs\n", + "114 Houston Astros\n", + "115 Boston Red Sox\n", + "116 San Diego Padres\n", + "\n", + "[117 rows x 1 columns]" ] }, "execution_count": 63, @@ -4658,7 +4719,7 @@ "metadata": {}, "outputs": [], "source": [ - "df2['year'] = np.arange(1903, 2019)\n", + "df2['year'] = np.arange(1903, 1903 + df2.shape[0])\n", "df2['first_initial'] = [team[0] for team in df2['team']]" ] }, @@ -4731,12 +4792,6 @@ " ...\n", " \n", " \n", - " 111\n", - " San Francisco Giants\n", - " 2014\n", - " S\n", - " \n", - " \n", " 112\n", " Kansas City Royals\n", " 2015\n", @@ -4756,30 +4811,36 @@ " \n", " \n", " 115\n", - " San Diego Padres\n", + " Boston Red Sox\n", " 2018\n", + " B\n", + " \n", + " \n", + " 116\n", + " San Diego Padres\n", + " 2019\n", " S\n", " \n", " \n", "\n", - "

116 rows Γ— 3 columns

\n", + "

117 rows Γ— 3 columns

\n", "" ], "text/plain": [ - " team year first_initial\n", - "0 Boston Americans 1903 B\n", - "1 No World Series 1904 N\n", - "2 New York Giants 1905 N\n", - "3 Chicago White Sox 1906 C\n", - "4 Chicago Cubs 1907 C\n", - ".. ... ... ...\n", - "111 San Francisco Giants 2014 S\n", - "112 Kansas City Royals 2015 K\n", - "113 Chicago Cubs 2016 C\n", - "114 Houston Astros 2017 H\n", - "115 San Diego Padres 2018 S\n", - "\n", - "[116 rows x 3 columns]" + " team year first_initial\n", + "0 Boston Americans 1903 B\n", + "1 No World Series 1904 N\n", + "2 New York Giants 1905 N\n", + "3 Chicago White Sox 1906 C\n", + "4 Chicago Cubs 1907 C\n", + ".. ... ... ...\n", + "112 Kansas City Royals 2015 K\n", + "113 Chicago Cubs 2016 C\n", + "114 Houston Astros 2017 H\n", + "115 Boston Red Sox 2018 B\n", + "116 San Diego Padres 2019 S\n", + "\n", + "[117 rows x 3 columns]" ] }, "execution_count": 65, @@ -4795,6 +4856,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "#### df.stack()" ] }, @@ -4812,12 +4875,12 @@ "1 team No World Series\n", " year 1904\n", " ... \n", - "114 year 2017\n", - " first_initial H\n", - "115 team San Diego Padres\n", - " year 2018\n", + "115 year 2018\n", + " first_initial B\n", + "116 team San Diego Padres\n", + " year 2019\n", " first_initial S\n", - "Length: 348, dtype: object" + "Length: 351, dtype: object" ] }, "execution_count": 66, @@ -4932,22 +4995,22 @@ " ...\n", " \n", " \n", - " 114\n", + " 115\n", " year\n", - " 2017\n", + " 2018\n", " \n", " \n", " first_initial\n", - " H\n", + " B\n", " \n", " \n", - " 115\n", + " 116\n", " team\n", " San Diego Padres\n", " \n", " \n", " year\n", - " 2018\n", + " 2019\n", " \n", " \n", " first_initial\n", @@ -4955,7 +5018,7 @@ " \n", " \n", "\n", - "

348 rows Γ— 1 columns

\n", + "

351 rows Γ— 1 columns

\n", "" ], "text/plain": [ @@ -4966,13 +5029,13 @@ "1 team No World Series\n", " year 1904\n", "... ...\n", - "114 year 2017\n", - " first_initial H\n", - "115 team San Diego Padres\n", - " year 2018\n", + "115 year 2018\n", + " first_initial B\n", + "116 team San Diego Padres\n", + " year 2019\n", " first_initial S\n", "\n", - "[348 rows x 1 columns]" + "[351 rows x 1 columns]" ] }, "execution_count": 69, @@ -4988,6 +5051,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "#### df.unstack()" ] }, @@ -5005,12 +5070,12 @@ " 3 Chicago White Sox\n", " 4 Chicago Cubs\n", " ... \n", - "first_initial 111 S\n", - " 112 K\n", + "first_initial 112 K\n", " 113 C\n", " 114 H\n", - " 115 S\n", - "Length: 348, dtype: object" + " 115 B\n", + " 116 S\n", + "Length: 351, dtype: object" ] }, "execution_count": 70, @@ -5102,10 +5167,6 @@ " \n", " \n", " first_initial\n", - " 111\n", - " S\n", - " \n", - " \n", " 112\n", " K\n", " \n", @@ -5119,11 +5180,15 @@ " \n", " \n", " 115\n", + " B\n", + " \n", + " \n", + " 116\n", " S\n", " \n", " \n", "\n", - "

348 rows Γ— 1 columns

\n", + "

351 rows Γ— 1 columns

\n", "" ], "text/plain": [ @@ -5134,13 +5199,13 @@ " 3 Chicago White Sox\n", " 4 Chicago Cubs\n", "... ...\n", - "first_initial 111 S\n", - " 112 K\n", + "first_initial 112 K\n", " 113 C\n", " 114 H\n", - " 115 S\n", + " 115 B\n", + " 116 S\n", "\n", - "[348 rows x 1 columns]" + "[351 rows x 1 columns]" ] }, "execution_count": 72, @@ -5165,7 +5230,7 @@ "metadata": {}, "outputs": [], "source": [ - "df = pd.read_csv('../data/survey_scores_2015.csv', index_col=0)" + "df = pd.read_csv('../data/survey_scores_2018_fall.csv', index_col=0)" ] }, { @@ -5196,20 +5261,27 @@ " \n", " \n", " \n", - " 10000\n", - " 13001\n", - " 60985\n", - " 43309\n", - " 89785\n", - " 57688\n", - " 19366\n", - " 97775\n", - " 22384\n", - " 31556\n", - " 70964\n", - " 70155\n", - " 47724\n", - " 37602\n", + " 861167\n", + " 346538\n", + " 473138\n", + " 268370\n", + " 21801\n", + " 996203\n", + " 52398\n", + " 980220\n", + " 47263\n", + " 232211\n", + " ...\n", + " 165235\n", + " 366626\n", + " 944438\n", + " 818177\n", + " 287628\n", + " 189753\n", + " 783121\n", + " 474873\n", + " 481858\n", + " 318480\n", " \n", " \n", " subject_id\n", @@ -5227,171 +5299,231 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " computer_has\n", - " N\n", - " Y\n", - " Y\n", - " Y\n", - " Y\n", - " Y\n", - " Y\n", - " Y\n", - " Y\n", - " Y\n", - " Y\n", - " Y\n", - " Y\n", - " Y\n", + " Yes\n", + " Yes\n", + " Yes\n", + " Yes\n", + " Yes\n", + " Yes\n", + " Yes\n", + " Yes\n", + " Yes\n", + " Yes\n", + " ...\n", + " Yes\n", + " Yes\n", + " Yes\n", + " Yes\n", + " Yes\n", + " Yes\n", + " Yes\n", + " Yes\n", + " Yes\n", + " Yes\n", " \n", " \n", " computer_os\n", - " NaN\n", " Mac\n", - " Windows\n", + " Windows;Unix\n", " Mac\n", + " Mac\n", + " Mac\n", + " Mac\n", + " Mac;Windows\n", " Windows\n", " Mac\n", " Mac\n", + " ...\n", + " Mac\n", + " Windows\n", " Mac\n", " Windows\n", " Mac\n", + " Mac;Windows;Unix\n", + " Mac\n", + " Mac;Unix\n", " Mac\n", - " Linux\n", " Mac\n", - " Linux\n", " \n", " \n", - " score_bash\n", - " 0\n", - " 1\n", - " 0\n", - " 3\n", - " 2\n", - " 1\n", - " 0\n", - " 2\n", - " 0\n", - " 1\n", - " 1\n", - " 1\n", - " 0\n", - " 2\n", + " score_command\n", + " Some\n", + " Some\n", + " Moderate\n", + " Some\n", + " Moderate\n", + " Some\n", + " Some\n", + " Some\n", + " Moderate\n", + " Moderate\n", + " ...\n", + " None\n", + " None\n", + " None\n", + " Some\n", + " Some\n", + " Experienced\n", + " None\n", + " Moderate\n", + " Some\n", + " Some\n", " \n", " \n", - " score_command\n", - " 0\n", - " 2\n", - " 1\n", - " 3\n", - " 2\n", - " 1\n", - " 2\n", - " 2\n", - " 0\n", - " 2\n", - " 1\n", - " 1\n", - " 0\n", - " 2\n", + " score_r\n", + " Some\n", + " Some\n", + " None\n", + " Some\n", + " Some\n", + " None\n", + " None\n", + " Moderate\n", + " Some\n", + " None\n", + " ...\n", + " None\n", + " None\n", + " None\n", + " Moderate\n", + " Some\n", + " None\n", + " Some\n", + " Moderate\n", + " Moderate\n", + " Some\n", " \n", " \n", " score_matlab\n", - " 0\n", - " 3\n", - " 1\n", - " 0\n", - " 0\n", - " 1\n", - " 3\n", - " 3\n", - " 2\n", - " 3\n", - " 2\n", - " 1\n", - " 1\n", - " 0\n", + " Some\n", + " Moderate\n", + " Experienced\n", + " None\n", + " None\n", + " Some\n", + " Some\n", + " None\n", + " None\n", + " None\n", + " ...\n", + " None\n", + " Moderate\n", + " Moderate\n", + " Moderate\n", + " None\n", + " Experienced\n", + " None\n", + " Some\n", + " None\n", + " None\n", " \n", " \n", " score_perl\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 1\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 1\n", + " None\n", + " None\n", + " None\n", + " None\n", + " None\n", + " None\n", + " None\n", + " Some\n", + " None\n", + " None\n", + " ...\n", + " None\n", + " None\n", + " None\n", + " Some\n", + " None\n", + " None\n", + " None\n", + " None\n", + " None\n", + " None\n", " \n", " \n", " score_python\n", - " 0\n", - " 0\n", - " 2\n", - " 1\n", - " 2\n", - " 0\n", - " 0\n", - " 1\n", - " 0\n", - " 0\n", - " 1\n", - " 1\n", - " 0\n", - " 1\n", - " \n", - " \n", - " score_r\n", - " 0\n", - " 0\n", - " 1\n", - " 2\n", - " 2\n", - " 0\n", - " 2\n", - " 0\n", - " 2\n", - " 0\n", - " 2\n", - " 0\n", - " 0\n", - " 2\n", + " Some\n", + " Moderate\n", + " Moderate\n", + " Some\n", + " Some\n", + " Some\n", + " Moderate\n", + " None\n", + " Some\n", + " Moderate\n", + " ...\n", + " None\n", + " Moderate\n", + " Some\n", + " None\n", + " None\n", + " Some\n", + " None\n", + " Some\n", + " Some\n", + " None\n", " \n", " \n", "\n", + "

7 rows Γ— 31 columns

\n", "" ], "text/plain": [ - " 10000 13001 60985 43309 89785 57688 19366 97775 22384 \\\n", - "subject_id \n", - "computer_has N Y Y Y Y Y Y Y Y \n", - "computer_os NaN Mac Windows Mac Windows Mac Mac Mac Windows \n", - "score_bash 0 1 0 3 2 1 0 2 0 \n", - "score_command 0 2 1 3 2 1 2 2 0 \n", - "score_matlab 0 3 1 0 0 1 3 3 2 \n", - "score_perl 0 0 0 0 1 0 0 0 0 \n", - "score_python 0 0 2 1 2 0 0 1 0 \n", - "score_r 0 0 1 2 2 0 2 0 2 \n", - "\n", - " 31556 70964 70155 47724 37602 \n", - "subject_id \n", - "computer_has Y Y Y Y Y \n", - "computer_os Mac Mac Linux Mac Linux \n", - "score_bash 1 1 1 0 2 \n", - "score_command 2 1 1 0 2 \n", - "score_matlab 3 2 1 1 0 \n", - "score_perl 0 0 0 0 1 \n", - "score_python 0 1 1 0 1 \n", - "score_r 0 2 0 0 2 " + " 861167 346538 473138 268370 21801 996203 \\\n", + "subject_id \n", + "computer_has Yes Yes Yes Yes Yes Yes \n", + "computer_os Mac Windows;Unix Mac Mac Mac Mac \n", + "score_command Some Some Moderate Some Moderate Some \n", + "score_r Some Some None Some Some None \n", + "score_matlab Some Moderate Experienced None None Some \n", + "score_perl None None None None None None \n", + "score_python Some Moderate Moderate Some Some Some \n", + "\n", + " 52398 980220 47263 232211 ... 165235 \\\n", + "subject_id ... \n", + "computer_has Yes Yes Yes Yes ... Yes \n", + "computer_os Mac;Windows Windows Mac Mac ... Mac \n", + "score_command Some Some Moderate Moderate ... None \n", + "score_r None Moderate Some None ... None \n", + "score_matlab Some None None None ... None \n", + "score_perl None Some None None ... None \n", + "score_python Moderate None Some Moderate ... None \n", + "\n", + " 366626 944438 818177 287628 189753 783121 \\\n", + "subject_id \n", + "computer_has Yes Yes Yes Yes Yes Yes \n", + "computer_os Windows Mac Windows Mac Mac;Windows;Unix Mac \n", + "score_command None None Some Some Experienced None \n", + "score_r None None Moderate Some None Some \n", + "score_matlab Moderate Moderate Moderate None Experienced None \n", + "score_perl None None Some None None None \n", + "score_python Moderate Some None None Some None \n", + "\n", + " 474873 481858 318480 \n", + "subject_id \n", + "computer_has Yes Yes Yes \n", + "computer_os Mac;Unix Mac Mac \n", + "score_command Moderate Some Some \n", + "score_r Moderate Moderate Some \n", + "score_matlab Some None None \n", + "score_perl None None None \n", + "score_python Some Some None \n", + "\n", + "[7 rows x 31 columns]" ] }, "execution_count": 74, @@ -5440,69 +5572,63 @@ " subject_id\n", " computer_has\n", " computer_os\n", - " score_bash\n", " score_command\n", + " score_r\n", " score_matlab\n", " score_perl\n", " score_python\n", - " score_r\n", " \n", " \n", " \n", " \n", - " 10000\n", - " N\n", - " NaN\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 861167\n", + " Yes\n", + " Mac\n", + " Some\n", + " Some\n", + " Some\n", + " None\n", + " Some\n", " \n", " \n", - " 13001\n", - " Y\n", - " Mac\n", - " 1\n", - " 2\n", - " 3\n", - " 0\n", - " 0\n", - " 0\n", + " 346538\n", + " Yes\n", + " Windows;Unix\n", + " Some\n", + " Some\n", + " Moderate\n", + " None\n", + " Moderate\n", " \n", " \n", - " 60985\n", - " Y\n", - " Windows\n", - " 0\n", - " 1\n", - " 1\n", - " 0\n", - " 2\n", - " 1\n", + " 473138\n", + " Yes\n", + " Mac\n", + " Moderate\n", + " None\n", + " Experienced\n", + " None\n", + " Moderate\n", " \n", " \n", - " 43309\n", - " Y\n", + " 268370\n", + " Yes\n", " Mac\n", - " 3\n", - " 3\n", - " 0\n", - " 0\n", - " 1\n", - " 2\n", + " Some\n", + " Some\n", + " None\n", + " None\n", + " Some\n", " \n", " \n", - " 89785\n", - " Y\n", - " Windows\n", - " 2\n", - " 2\n", - " 0\n", - " 1\n", - " 2\n", - " 2\n", + " 21801\n", + " Yes\n", + " Mac\n", + " Moderate\n", + " Some\n", + " None\n", + " None\n", + " Some\n", " \n", " \n", " ...\n", @@ -5513,96 +5639,90 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", - " 31556\n", - " Y\n", - " Mac\n", - " 1\n", - " 2\n", - " 3\n", - " 0\n", - " 0\n", - " 0\n", + " 189753\n", + " Yes\n", + " Mac;Windows;Unix\n", + " Experienced\n", + " None\n", + " Experienced\n", + " None\n", + " Some\n", " \n", " \n", - " 70964\n", - " Y\n", + " 783121\n", + " Yes\n", " Mac\n", - " 1\n", - " 1\n", - " 2\n", - " 0\n", - " 1\n", - " 2\n", + " None\n", + " Some\n", + " None\n", + " None\n", + " None\n", " \n", " \n", - " 70155\n", - " Y\n", - " Linux\n", - " 1\n", - " 1\n", - " 1\n", - " 0\n", - " 1\n", - " 0\n", + " 474873\n", + " Yes\n", + " Mac;Unix\n", + " Moderate\n", + " Moderate\n", + " Some\n", + " None\n", + " Some\n", " \n", " \n", - " 47724\n", - " Y\n", + " 481858\n", + " Yes\n", " Mac\n", - " 0\n", - " 0\n", - " 1\n", - " 0\n", - " 0\n", - " 0\n", + " Some\n", + " Moderate\n", + " None\n", + " None\n", + " Some\n", " \n", " \n", - " 37602\n", - " Y\n", - " Linux\n", - " 2\n", - " 2\n", - " 0\n", - " 1\n", - " 1\n", - " 2\n", + " 318480\n", + " Yes\n", + " Mac\n", + " Some\n", + " Some\n", + " None\n", + " None\n", + " None\n", " \n", " \n", "\n", - "

14 rows Γ— 8 columns

\n", + "

31 rows Γ— 7 columns

\n", "" ], "text/plain": [ - "subject_id computer_has computer_os score_bash score_command score_matlab \\\n", - "10000 N NaN 0 0 0 \n", - "13001 Y Mac 1 2 3 \n", - "60985 Y Windows 0 1 1 \n", - "43309 Y Mac 3 3 0 \n", - "89785 Y Windows 2 2 0 \n", - "... ... ... ... ... ... \n", - "31556 Y Mac 1 2 3 \n", - "70964 Y Mac 1 1 2 \n", - "70155 Y Linux 1 1 1 \n", - "47724 Y Mac 0 0 1 \n", - "37602 Y Linux 2 2 0 \n", - "\n", - "subject_id score_perl score_python score_r \n", - "10000 0 0 0 \n", - "13001 0 0 0 \n", - "60985 0 2 1 \n", - "43309 0 1 2 \n", - "89785 1 2 2 \n", - "... ... ... ... \n", - "31556 0 0 0 \n", - "70964 0 1 2 \n", - "70155 0 1 0 \n", - "47724 0 0 0 \n", - "37602 1 1 2 \n", - "\n", - "[14 rows x 8 columns]" + "subject_id computer_has computer_os score_command score_r \\\n", + "861167 Yes Mac Some Some \n", + "346538 Yes Windows;Unix Some Some \n", + "473138 Yes Mac Moderate None \n", + "268370 Yes Mac Some Some \n", + "21801 Yes Mac Moderate Some \n", + "... ... ... ... ... \n", + "189753 Yes Mac;Windows;Unix Experienced None \n", + "783121 Yes Mac None Some \n", + "474873 Yes Mac;Unix Moderate Moderate \n", + "481858 Yes Mac Some Moderate \n", + "318480 Yes Mac Some Some \n", + "\n", + "subject_id score_matlab score_perl score_python \n", + "861167 Some None Some \n", + "346538 Moderate None Moderate \n", + "473138 Experienced None Moderate \n", + "268370 None None Some \n", + "21801 None None Some \n", + "... ... ... ... \n", + "189753 Experienced None Some \n", + "783121 None None None \n", + "474873 Some None Some \n", + "481858 None None Some \n", + "318480 None None None \n", + "\n", + "[31 rows x 7 columns]" ] }, "execution_count": 76, @@ -5625,12 +5745,11 @@ "subject_id\n", "computer_has object\n", "computer_os object\n", - "score_bash object\n", "score_command object\n", + "score_r object\n", "score_matlab object\n", "score_perl object\n", "score_python object\n", - "score_r object\n", "dtype: object" ] }, @@ -5647,15 +5766,45 @@ "cell_type": "code", "execution_count": 78, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", + " \n", " \n", " \n", - " \n", + " \n", + " \n", " \n", + " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", + " \n", " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", + " \n", " \n", " \n", + " \n", + " \n", + " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
subject_idscore_commandscore_rscore_matlabscore_perlscore_python
86116711101
34653811202
4772447313820302
26837011001
2180121001
37602..................
18975330301
78312101000
47487322101
48185812001
31848011000
\n", - "

14 rows Γ— 6 columns

\n", + "

31 rows Γ— 5 columns

\n", "
" ], "text/plain": [ - "subject_id score_bash score_command score_matlab score_perl score_python \\\n", - "10000 0 0 0 0 0 \n", - "13001 1 2 3 0 0 \n", - "60985 0 1 1 0 2 \n", - "43309 3 3 0 0 1 \n", - "89785 2 2 0 1 2 \n", - "... ... ... ... ... ... \n", - "31556 1 2 3 0 0 \n", - "70964 1 1 2 0 1 \n", - "70155 1 1 1 0 1 \n", - "47724 0 0 1 0 0 \n", - "37602 2 2 0 1 1 \n", - "\n", - "subject_id score_r \n", - "10000 0 \n", - "13001 0 \n", - "60985 1 \n", - "43309 2 \n", - "89785 2 \n", - "... ... \n", - "31556 0 \n", - "70964 2 \n", - "70155 0 \n", - "47724 0 \n", - "37602 2 \n", - "\n", - "[14 rows x 6 columns]" + "subject_id score_command score_r score_matlab score_perl score_python\n", + "861167 1 1 1 0 1\n", + "346538 1 1 2 0 2\n", + "473138 2 0 3 0 2\n", + "268370 1 1 0 0 1\n", + "21801 2 1 0 0 1\n", + "... ... ... ... ... ...\n", + "189753 3 0 3 0 1\n", + "783121 0 1 0 0 0\n", + "474873 2 2 1 0 1\n", + "481858 1 2 0 0 1\n", + "318480 1 1 0 0 0\n", + "\n", + "[31 rows x 5 columns]" ] }, - "execution_count": 78, + "execution_count": 82, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# just select the numeric columns (exclude first 2 columns)\n", "df.iloc[:,2:]" ] }, { "cell_type": "code", - "execution_count": 79, - "metadata": {}, - "outputs": [], - "source": [ - "numeric_cols = ['score_bash', 'score_command', 'score_matlab', 'score_perl', 'score_python', 'score_r']" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "metadata": {}, - "outputs": [], - "source": [ - "df[numeric_cols] = df[numeric_cols].apply(pd.to_numeric)" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "metadata": {}, + "execution_count": 83, + "metadata": { + "scrolled": false + }, "outputs": [ { "data": { @@ -5850,16 +6151,15 @@ "subject_id\n", "computer_has object\n", "computer_os object\n", - "score_bash int64\n", "score_command int64\n", + "score_r int64\n", "score_matlab int64\n", "score_perl int64\n", "score_python int64\n", - "score_r int64\n", "dtype: object" ] }, - "execution_count": 81, + "execution_count": 83, "metadata": {}, "output_type": "execute_result" } @@ -5877,7 +6177,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 84, "metadata": { "scrolled": true }, @@ -5885,22 +6185,22 @@ { "data": { "text/plain": [ - " subject_id \n", - "10000 computer_has N\n", - " score_bash 0\n", - " score_command 0\n", - " score_matlab 0\n", - " score_perl 0\n", - " ..\n", - "37602 score_command 2\n", - " score_matlab 0\n", - " score_perl 1\n", - " score_python 1\n", - " score_r 2\n", - "Length: 111, dtype: object" + " subject_id \n", + "861167 computer_has Yes\n", + " computer_os Mac\n", + " score_command 1\n", + " score_r 1\n", + " score_matlab 1\n", + " ... \n", + "318480 score_command 1\n", + " score_r 1\n", + " score_matlab 0\n", + " score_perl 0\n", + " score_python 0\n", + "Length: 217, dtype: object" ] }, - "execution_count": 82, + "execution_count": 84, "metadata": {}, "output_type": "execute_result" } @@ -5911,7 +6211,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 85, "metadata": { "scrolled": true }, @@ -5919,22 +6219,22 @@ { "data": { "text/plain": [ - "subject_id \n", - "computer_has 10000 N\n", - " 13001 Y\n", - " 60985 Y\n", - " 43309 Y\n", - " 89785 Y\n", - " ..\n", - "score_r 31556 0\n", - " 70964 2\n", - " 70155 0\n", - " 47724 0\n", - " 37602 2\n", - "Length: 112, dtype: object" + "subject_id \n", + "computer_has 861167 Yes\n", + " 346538 Yes\n", + " 473138 Yes\n", + " 268370 Yes\n", + " 21801 Yes\n", + " ... \n", + "score_python 189753 1\n", + " 783121 0\n", + " 474873 1\n", + " 481858 1\n", + " 318480 0\n", + "Length: 217, dtype: object" ] }, - "execution_count": 83, + "execution_count": 85, "metadata": {}, "output_type": "execute_result" } @@ -5947,40 +6247,46 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**values**" + "\n", + "\n", + "#### values" ] }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 86, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([0, 1, 0, 3, 2, 1, 0, 2, 0, 1, 1, 1, 0, 2])" + "array([1, 1, 2, 1, 2, 1, 1, 1, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 1, 1, 0,\n", + " 0, 0, 1, 1, 3, 0, 2, 1, 1])" ] }, - "execution_count": 84, + "execution_count": 86, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Sometimes you need the values of a DataFrame, not the DataFrame representation of it\n", - "df.score_bash.values" + "df.score_command.values" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "**apply, lambda**" + "\n", + "\n", + "\n", + "#### apply, lambda" ] }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 87, "metadata": {}, "outputs": [], "source": [ @@ -5989,7 +6295,7 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 88, "metadata": {}, "outputs": [], "source": [ @@ -5998,7 +6304,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 89, "metadata": { "scrolled": false }, @@ -6007,16 +6313,15 @@ "data": { "text/plain": [ "subject_id\n", - "score_bash 3\n", "score_command 3\n", + "score_r 3\n", "score_matlab 3\n", "score_perl 1\n", "score_python 2\n", - "score_r 2\n", "dtype: int64" ] }, - "execution_count": 87, + "execution_count": 89, "metadata": {}, "output_type": "execute_result" } @@ -6027,7 +6332,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 90, "metadata": { "scrolled": true }, @@ -6035,14 +6340,14 @@ { "data": { "text/plain": [ - "2 6\n", - "1 4\n", - "0 3\n", - "3 1\n", + "1 18\n", + "2 6\n", + "0 6\n", + "3 1\n", "Name: score_command, dtype: int64" ] }, - "execution_count": 88, + "execution_count": 90, "metadata": {}, "output_type": "execute_result" } @@ -6053,7 +6358,7 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 91, "metadata": { "scrolled": true }, @@ -6079,48 +6384,43 @@ " \n", " \n", " subject_id\n", - " score_bash\n", " score_command\n", + " score_r\n", " score_matlab\n", " score_perl\n", " score_python\n", - " score_r\n", " \n", " \n", " \n", " \n", " 0\n", - " 5\n", - " 3\n", - " 4\n", - " 12.0\n", - " 7.0\n", - " 7.0\n", + " 6\n", + " 12\n", + " 15\n", + " 28.0\n", + " 11.0\n", " \n", " \n", " 1\n", - " 5\n", - " 4\n", - " 4\n", - " 2.0\n", - " 5.0\n", - " 1.0\n", + " 18\n", + " 12\n", + " 7\n", + " 3.0\n", + " 13.0\n", " \n", " \n", " 2\n", - " 3\n", " 6\n", - " 2\n", + " 6\n", + " 4\n", " NaN\n", - " 2.0\n", - " 6.0\n", + " 7.0\n", " \n", " \n", " 3\n", " 1\n", " 1\n", - " 4\n", - " NaN\n", + " 5\n", " NaN\n", " NaN\n", " \n", @@ -6129,20 +6429,14 @@ "" ], "text/plain": [ - "subject_id score_bash score_command score_matlab score_perl score_python \\\n", - "0 5 3 4 12.0 7.0 \n", - "1 5 4 4 2.0 5.0 \n", - "2 3 6 2 NaN 2.0 \n", - "3 1 1 4 NaN NaN \n", - "\n", - "subject_id score_r \n", - "0 7.0 \n", - "1 1.0 \n", - "2 6.0 \n", - "3 NaN " + "subject_id score_command score_r score_matlab score_perl score_python\n", + "0 6 12 15 28.0 11.0\n", + "1 18 12 7 3.0 13.0\n", + "2 6 6 4 NaN 7.0\n", + "3 1 1 5 NaN NaN" ] }, - "execution_count": 89, + "execution_count": 91, "metadata": {}, "output_type": "execute_result" } @@ -6155,12 +6449,15 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**sort_index, sort_values**" + "\n", + "\n", + "\n", + "#### sort_index, sort_values" ] }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 92, "metadata": {}, "outputs": [ { @@ -6186,20 +6483,18 @@ " subject_id\n", " computer_has\n", " computer_os\n", - " score_bash\n", " score_command\n", + " score_r\n", " score_matlab\n", " score_perl\n", " score_python\n", - " score_r\n", " \n", " \n", " \n", " \n", - " 10000\n", - " N\n", - " NaN\n", - " 0\n", + " 165235\n", + " Yes\n", + " Mac\n", " 0\n", " 0\n", " 0\n", @@ -6207,48 +6502,44 @@ " 0\n", " \n", " \n", - " 13001\n", - " Y\n", - " Mac\n", - " 1\n", - " 2\n", + " 189753\n", + " Yes\n", + " Mac;Windows;Unix\n", " 3\n", " 0\n", + " 3\n", " 0\n", - " 0\n", + " 1\n", " \n", " \n", - " 19366\n", - " Y\n", + " 21801\n", + " Yes\n", " Mac\n", - " 0\n", " 2\n", - " 3\n", + " 1\n", " 0\n", " 0\n", - " 2\n", + " 1\n", " \n", " \n", - " 22384\n", - " Y\n", - " Windows\n", - " 0\n", - " 0\n", + " 232211\n", + " Yes\n", + " Mac\n", " 2\n", " 0\n", " 0\n", + " 0\n", " 2\n", " \n", " \n", - " 31556\n", - " Y\n", + " 268370\n", + " Yes\n", " Mac\n", " 1\n", - " 2\n", - " 3\n", - " 0\n", + " 1\n", " 0\n", " 0\n", + " 1\n", " \n", " \n", " ...\n", @@ -6259,99 +6550,93 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", - " 60985\n", - " Y\n", - " Windows\n", - " 0\n", + " 861167\n", + " Yes\n", + " Mac\n", + " 1\n", " 1\n", " 1\n", " 0\n", - " 2\n", " 1\n", " \n", " \n", - " 70155\n", - " Y\n", - " Linux\n", - " 1\n", + " 874782\n", + " Yes\n", + " Windows;Unix\n", + " 2\n", " 1\n", " 1\n", " 0\n", - " 1\n", - " 0\n", + " 2\n", " \n", " \n", - " 70964\n", - " Y\n", + " 944438\n", + " Yes\n", " Mac\n", - " 1\n", - " 1\n", + " 0\n", + " 0\n", " 2\n", " 0\n", " 1\n", - " 2\n", " \n", " \n", - " 89785\n", - " Y\n", + " 980220\n", + " Yes\n", " Windows\n", - " 2\n", + " 1\n", " 2\n", " 0\n", " 1\n", - " 2\n", - " 2\n", + " 0\n", " \n", " \n", - " 97775\n", - " Y\n", + " 996203\n", + " Yes\n", " Mac\n", - " 2\n", - " 2\n", - " 3\n", + " 1\n", " 0\n", " 1\n", " 0\n", + " 1\n", " \n", " \n", "\n", - "

14 rows Γ— 8 columns

\n", + "

31 rows Γ— 7 columns

\n", "" ], "text/plain": [ - "subject_id computer_has computer_os score_bash score_command score_matlab \\\n", - "10000 N NaN 0 0 0 \n", - "13001 Y Mac 1 2 3 \n", - "19366 Y Mac 0 2 3 \n", - "22384 Y Windows 0 0 2 \n", - "31556 Y Mac 1 2 3 \n", - "... ... ... ... ... ... \n", - "60985 Y Windows 0 1 1 \n", - "70155 Y Linux 1 1 1 \n", - "70964 Y Mac 1 1 2 \n", - "89785 Y Windows 2 2 0 \n", - "97775 Y Mac 2 2 3 \n", - "\n", - "subject_id score_perl score_python score_r \n", - "10000 0 0 0 \n", - "13001 0 0 0 \n", - "19366 0 0 2 \n", - "22384 0 0 2 \n", - "31556 0 0 0 \n", - "... ... ... ... \n", - "60985 0 2 1 \n", - "70155 0 1 0 \n", - "70964 0 1 2 \n", - "89785 1 2 2 \n", - "97775 0 1 0 \n", - "\n", - "[14 rows x 8 columns]" + "subject_id computer_has computer_os score_command score_r \\\n", + "165235 Yes Mac 0 0 \n", + "189753 Yes Mac;Windows;Unix 3 0 \n", + "21801 Yes Mac 2 1 \n", + "232211 Yes Mac 2 0 \n", + "268370 Yes Mac 1 1 \n", + "... ... ... ... ... \n", + "861167 Yes Mac 1 1 \n", + "874782 Yes Windows;Unix 2 1 \n", + "944438 Yes Mac 0 0 \n", + "980220 Yes Windows 1 2 \n", + "996203 Yes Mac 1 0 \n", + "\n", + "subject_id score_matlab score_perl score_python \n", + "165235 0 0 0 \n", + "189753 3 0 1 \n", + "21801 0 0 1 \n", + "232211 0 0 2 \n", + "268370 0 0 1 \n", + "... ... ... ... \n", + "861167 1 0 1 \n", + "874782 1 0 2 \n", + "944438 2 0 1 \n", + "980220 0 1 0 \n", + "996203 1 0 1 \n", + "\n", + "[31 rows x 7 columns]" ] }, - "execution_count": 90, + "execution_count": 92, "metadata": {}, "output_type": "execute_result" } @@ -6362,7 +6647,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 93, "metadata": {}, "outputs": [ { @@ -6388,69 +6673,63 @@ " subject_id\n", " computer_has\n", " computer_os\n", - " score_bash\n", " score_command\n", + " score_r\n", " score_matlab\n", " score_perl\n", " score_python\n", - " score_r\n", " \n", " \n", " \n", " \n", - " 13001\n", - " Y\n", - " Mac\n", - " 1\n", - " 2\n", + " 189753\n", + " Yes\n", + " Mac;Windows;Unix\n", " 3\n", " 0\n", + " 3\n", " 0\n", - " 0\n", + " 1\n", " \n", " \n", - " 19366\n", - " Y\n", + " 473138\n", + " Yes\n", " Mac\n", - " 0\n", " 2\n", - " 3\n", " 0\n", + " 3\n", " 0\n", " 2\n", " \n", " \n", - " 97775\n", - " Y\n", - " Mac\n", - " 2\n", - " 2\n", + " 463808\n", + " Yes\n", + " Mac;Windows\n", + " 1\n", + " 1\n", " 3\n", " 0\n", " 1\n", - " 0\n", " \n", " \n", - " 31556\n", - " Y\n", - " Mac\n", - " 1\n", - " 2\n", - " 3\n", + " 442558\n", + " Yes\n", + " Windows\n", + " 0\n", " 0\n", + " 3\n", " 0\n", " 0\n", " \n", " \n", - " 22384\n", - " Y\n", - " Windows\n", + " 630741\n", + " Yes\n", + " Mac\n", " 0\n", " 0\n", - " 2\n", - " 0\n", + " 3\n", " 0\n", - " 2\n", + " 1\n", " \n", " \n", " ...\n", @@ -6461,99 +6740,93 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", - " 47724\n", - " Y\n", + " 47263\n", + " Yes\n", " Mac\n", - " 0\n", - " 0\n", + " 2\n", " 1\n", " 0\n", " 0\n", - " 0\n", + " 1\n", " \n", " \n", - " 10000\n", - " N\n", - " NaN\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 980220\n", + " Yes\n", + " Windows\n", + " 1\n", + " 2\n", " 0\n", + " 1\n", " 0\n", " \n", " \n", - " 43309\n", - " Y\n", + " 21801\n", + " Yes\n", " Mac\n", - " 3\n", - " 3\n", + " 2\n", + " 1\n", " 0\n", " 0\n", " 1\n", - " 2\n", " \n", " \n", - " 89785\n", - " Y\n", - " Windows\n", - " 2\n", - " 2\n", + " 268370\n", + " Yes\n", + " Mac\n", + " 1\n", + " 1\n", + " 0\n", " 0\n", " 1\n", - " 2\n", - " 2\n", " \n", " \n", - " 37602\n", - " Y\n", - " Linux\n", - " 2\n", - " 2\n", - " 0\n", + " 318480\n", + " Yes\n", + " Mac\n", " 1\n", " 1\n", - " 2\n", + " 0\n", + " 0\n", + " 0\n", " \n", " \n", "\n", - "

14 rows Γ— 8 columns

\n", + "

31 rows Γ— 7 columns

\n", "" ], "text/plain": [ - "subject_id computer_has computer_os score_bash score_command score_matlab \\\n", - "13001 Y Mac 1 2 3 \n", - "19366 Y Mac 0 2 3 \n", - "97775 Y Mac 2 2 3 \n", - "31556 Y Mac 1 2 3 \n", - "22384 Y Windows 0 0 2 \n", - "... ... ... ... ... ... \n", - "47724 Y Mac 0 0 1 \n", - "10000 N NaN 0 0 0 \n", - "43309 Y Mac 3 3 0 \n", - "89785 Y Windows 2 2 0 \n", - "37602 Y Linux 2 2 0 \n", - "\n", - "subject_id score_perl score_python score_r \n", - "13001 0 0 0 \n", - "19366 0 0 2 \n", - "97775 0 1 0 \n", - "31556 0 0 0 \n", - "22384 0 0 2 \n", - "... ... ... ... \n", - "47724 0 0 0 \n", - "10000 0 0 0 \n", - "43309 0 1 2 \n", - "89785 1 2 2 \n", - "37602 1 1 2 \n", - "\n", - "[14 rows x 8 columns]" + "subject_id computer_has computer_os score_command score_r \\\n", + "189753 Yes Mac;Windows;Unix 3 0 \n", + "473138 Yes Mac 2 0 \n", + "463808 Yes Mac;Windows 1 1 \n", + "442558 Yes Windows 0 0 \n", + "630741 Yes Mac 0 0 \n", + "... ... ... ... ... \n", + "47263 Yes Mac 2 1 \n", + "980220 Yes Windows 1 2 \n", + "21801 Yes Mac 2 1 \n", + "268370 Yes Mac 1 1 \n", + "318480 Yes Mac 1 1 \n", + "\n", + "subject_id score_matlab score_perl score_python \n", + "189753 3 0 1 \n", + "473138 3 0 2 \n", + "463808 3 0 1 \n", + "442558 3 0 0 \n", + "630741 3 0 1 \n", + "... ... ... ... \n", + "47263 0 0 1 \n", + "980220 0 1 0 \n", + "21801 0 0 1 \n", + "268370 0 0 1 \n", + "318480 0 0 0 \n", + "\n", + "[31 rows x 7 columns]" ] }, - "execution_count": 91, + "execution_count": 93, "metadata": {}, "output_type": "execute_result" } @@ -6564,9 +6837,9 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 94, "metadata": { - "scrolled": true + "scrolled": false }, "outputs": [ { @@ -6592,69 +6865,63 @@ " subject_id\n", " computer_has\n", " computer_os\n", - " score_bash\n", " score_command\n", + " score_r\n", " score_matlab\n", " score_perl\n", " score_python\n", - " score_r\n", " \n", " \n", " \n", " \n", - " 10000\n", - " N\n", - " NaN\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 861167\n", + " Yes\n", + " Mac\n", + " 1\n", + " 1\n", + " 1\n", " 0\n", + " 1\n", " \n", " \n", - " 13001\n", - " Y\n", - " Mac\n", + " 346538\n", + " Yes\n", + " Windows;Unix\n", + " 1\n", " 1\n", " 2\n", - " 3\n", - " 0\n", - " 0\n", " 0\n", + " 2\n", " \n", " \n", - " 60985\n", - " Y\n", - " Windows\n", + " 473138\n", + " Yes\n", + " Mac\n", + " 2\n", " 0\n", - " 1\n", - " 1\n", + " 3\n", " 0\n", " 2\n", - " 1\n", " \n", " \n", - " 43309\n", - " Y\n", + " 268370\n", + " Yes\n", " Mac\n", - " 3\n", - " 3\n", + " 1\n", + " 1\n", " 0\n", " 0\n", " 1\n", - " 2\n", " \n", " \n", - " 89785\n", - " Y\n", - " Windows\n", - " 2\n", + " 21801\n", + " Yes\n", + " Mac\n", " 2\n", + " 1\n", + " 0\n", " 0\n", " 1\n", - " 2\n", - " 2\n", " \n", " \n", " ...\n", @@ -6665,99 +6932,93 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", - " 31556\n", - " Y\n", - " Mac\n", - " 1\n", - " 2\n", + " 189753\n", + " Yes\n", + " Mac;Windows;Unix\n", " 3\n", " 0\n", + " 3\n", " 0\n", - " 0\n", + " 1\n", " \n", " \n", - " 70964\n", - " Y\n", + " 783121\n", + " Yes\n", " Mac\n", - " 1\n", - " 1\n", - " 2\n", " 0\n", " 1\n", - " 2\n", + " 0\n", + " 0\n", + " 0\n", " \n", " \n", - " 70155\n", - " Y\n", - " Linux\n", - " 1\n", - " 1\n", + " 474873\n", + " Yes\n", + " Mac;Unix\n", + " 2\n", + " 2\n", " 1\n", " 0\n", " 1\n", - " 0\n", " \n", " \n", - " 47724\n", - " Y\n", + " 481858\n", + " Yes\n", " Mac\n", - " 0\n", - " 0\n", " 1\n", + " 2\n", " 0\n", " 0\n", - " 0\n", + " 1\n", " \n", " \n", - " 37602\n", - " Y\n", - " Linux\n", - " 2\n", - " 2\n", - " 0\n", + " 318480\n", + " Yes\n", + " Mac\n", " 1\n", " 1\n", - " 2\n", + " 0\n", + " 0\n", + " 0\n", " \n", " \n", "\n", - "

14 rows Γ— 8 columns

\n", + "

31 rows Γ— 7 columns

\n", "" ], "text/plain": [ - "subject_id computer_has computer_os score_bash score_command score_matlab \\\n", - "10000 N NaN 0 0 0 \n", - "13001 Y Mac 1 2 3 \n", - "60985 Y Windows 0 1 1 \n", - "43309 Y Mac 3 3 0 \n", - "89785 Y Windows 2 2 0 \n", - "... ... ... ... ... ... \n", - "31556 Y Mac 1 2 3 \n", - "70964 Y Mac 1 1 2 \n", - "70155 Y Linux 1 1 1 \n", - "47724 Y Mac 0 0 1 \n", - "37602 Y Linux 2 2 0 \n", - "\n", - "subject_id score_perl score_python score_r \n", - "10000 0 0 0 \n", - "13001 0 0 0 \n", - "60985 0 2 1 \n", - "43309 0 1 2 \n", - "89785 1 2 2 \n", - "... ... ... ... \n", - "31556 0 0 0 \n", - "70964 0 1 2 \n", - "70155 0 1 0 \n", - "47724 0 0 0 \n", - "37602 1 1 2 \n", - "\n", - "[14 rows x 8 columns]" + "subject_id computer_has computer_os score_command score_r \\\n", + "861167 Yes Mac 1 1 \n", + "346538 Yes Windows;Unix 1 1 \n", + "473138 Yes Mac 2 0 \n", + "268370 Yes Mac 1 1 \n", + "21801 Yes Mac 2 1 \n", + "... ... ... ... ... \n", + "189753 Yes Mac;Windows;Unix 3 0 \n", + "783121 Yes Mac 0 1 \n", + "474873 Yes Mac;Unix 2 2 \n", + "481858 Yes Mac 1 2 \n", + "318480 Yes Mac 1 1 \n", + "\n", + "subject_id score_matlab score_perl score_python \n", + "861167 1 0 1 \n", + "346538 2 0 2 \n", + "473138 3 0 2 \n", + "268370 0 0 1 \n", + "21801 0 0 1 \n", + "... ... ... ... \n", + "189753 3 0 1 \n", + "783121 0 0 0 \n", + "474873 1 0 1 \n", + "481858 0 0 1 \n", + "318480 0 0 0 \n", + "\n", + "[31 rows x 7 columns]" ] }, - "execution_count": 92, + "execution_count": 94, "metadata": {}, "output_type": "execute_result" } @@ -6768,9 +7029,9 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 95, "metadata": { - "scrolled": true + "scrolled": false }, "outputs": [ { @@ -6779,16 +7040,15 @@ "subject_id\n", "computer_has object\n", "computer_os object\n", - "score_bash int64\n", "score_command int64\n", + "score_r int64\n", "score_matlab int64\n", "score_perl int64\n", "score_python int64\n", - "score_r int64\n", "dtype: object" ] }, - "execution_count": 93, + "execution_count": 95, "metadata": {}, "output_type": "execute_result" } @@ -6799,18 +7059,18 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 96, "metadata": {}, "outputs": [], "source": [ "# We can change the Y/N strings to boolean True/False using a dict and map\n", - "yn_tf = {'Y': True, 'N': False}\n", + "yn_tf = {'Yes': True, 'No': False}\n", "df['computer_has'] = df['computer_has'].map(yn_tf)" ] }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 97, "metadata": { "scrolled": false }, @@ -6838,69 +7098,63 @@ " subject_id\n", " computer_has\n", " computer_os\n", - " score_bash\n", " score_command\n", + " score_r\n", " score_matlab\n", " score_perl\n", " score_python\n", - " score_r\n", " \n", " \n", " \n", " \n", - " 10000\n", - " False\n", - " NaN\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 861167\n", + " True\n", + " Mac\n", + " 1\n", + " 1\n", + " 1\n", " 0\n", + " 1\n", " \n", " \n", - " 13001\n", + " 346538\n", " True\n", - " Mac\n", + " Windows;Unix\n", + " 1\n", " 1\n", " 2\n", - " 3\n", - " 0\n", - " 0\n", " 0\n", + " 2\n", " \n", " \n", - " 60985\n", + " 473138\n", " True\n", - " Windows\n", + " Mac\n", + " 2\n", " 0\n", - " 1\n", - " 1\n", + " 3\n", " 0\n", " 2\n", - " 1\n", " \n", " \n", - " 43309\n", + " 268370\n", " True\n", " Mac\n", - " 3\n", - " 3\n", + " 1\n", + " 1\n", " 0\n", " 0\n", " 1\n", - " 2\n", " \n", " \n", - " 89785\n", + " 21801\n", " True\n", - " Windows\n", - " 2\n", + " Mac\n", " 2\n", + " 1\n", + " 0\n", " 0\n", " 1\n", - " 2\n", - " 2\n", " \n", " \n", " ...\n", @@ -6911,99 +7165,93 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", - " 31556\n", + " 189753\n", " True\n", - " Mac\n", - " 1\n", - " 2\n", + " Mac;Windows;Unix\n", " 3\n", " 0\n", + " 3\n", " 0\n", - " 0\n", + " 1\n", " \n", " \n", - " 70964\n", + " 783121\n", " True\n", " Mac\n", - " 1\n", - " 1\n", - " 2\n", " 0\n", " 1\n", - " 2\n", + " 0\n", + " 0\n", + " 0\n", " \n", " \n", - " 70155\n", + " 474873\n", " True\n", - " Linux\n", - " 1\n", - " 1\n", + " Mac;Unix\n", + " 2\n", + " 2\n", " 1\n", " 0\n", " 1\n", - " 0\n", " \n", " \n", - " 47724\n", + " 481858\n", " True\n", " Mac\n", - " 0\n", - " 0\n", " 1\n", + " 2\n", " 0\n", " 0\n", - " 0\n", + " 1\n", " \n", " \n", - " 37602\n", + " 318480\n", " True\n", - " Linux\n", - " 2\n", - " 2\n", - " 0\n", + " Mac\n", " 1\n", " 1\n", - " 2\n", + " 0\n", + " 0\n", + " 0\n", " \n", " \n", "\n", - "

14 rows Γ— 8 columns

\n", + "

31 rows Γ— 7 columns

\n", "" ], "text/plain": [ - "subject_id computer_has computer_os score_bash score_command score_matlab \\\n", - "10000 False NaN 0 0 0 \n", - "13001 True Mac 1 2 3 \n", - "60985 True Windows 0 1 1 \n", - "43309 True Mac 3 3 0 \n", - "89785 True Windows 2 2 0 \n", - "... ... ... ... ... ... \n", - "31556 True Mac 1 2 3 \n", - "70964 True Mac 1 1 2 \n", - "70155 True Linux 1 1 1 \n", - "47724 True Mac 0 0 1 \n", - "37602 True Linux 2 2 0 \n", - "\n", - "subject_id score_perl score_python score_r \n", - "10000 0 0 0 \n", - "13001 0 0 0 \n", - "60985 0 2 1 \n", - "43309 0 1 2 \n", - "89785 1 2 2 \n", - "... ... ... ... \n", - "31556 0 0 0 \n", - "70964 0 1 2 \n", - "70155 0 1 0 \n", - "47724 0 0 0 \n", - "37602 1 1 2 \n", - "\n", - "[14 rows x 8 columns]" + "subject_id computer_has computer_os score_command score_r \\\n", + "861167 True Mac 1 1 \n", + "346538 True Windows;Unix 1 1 \n", + "473138 True Mac 2 0 \n", + "268370 True Mac 1 1 \n", + "21801 True Mac 2 1 \n", + "... ... ... ... ... \n", + "189753 True Mac;Windows;Unix 3 0 \n", + "783121 True Mac 0 1 \n", + "474873 True Mac;Unix 2 2 \n", + "481858 True Mac 1 2 \n", + "318480 True Mac 1 1 \n", + "\n", + "subject_id score_matlab score_perl score_python \n", + "861167 1 0 1 \n", + "346538 2 0 2 \n", + "473138 3 0 2 \n", + "268370 0 0 1 \n", + "21801 0 0 1 \n", + "... ... ... ... \n", + "189753 3 0 1 \n", + "783121 0 0 0 \n", + "474873 1 0 1 \n", + "481858 0 0 1 \n", + "318480 0 0 0 \n", + "\n", + "[31 rows x 7 columns]" ] }, - "execution_count": 95, + "execution_count": 97, "metadata": {}, "output_type": "execute_result" } @@ -7014,7 +7262,7 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 98, "metadata": {}, "outputs": [ { @@ -7023,16 +7271,15 @@ "subject_id\n", "computer_has bool\n", "computer_os object\n", - "score_bash int64\n", "score_command int64\n", + "score_r int64\n", "score_matlab int64\n", "score_perl int64\n", "score_python int64\n", - "score_r int64\n", "dtype: object" ] }, - "execution_count": 96, + "execution_count": 98, "metadata": {}, "output_type": "execute_result" } @@ -7045,12 +7292,15 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### df.isnull() and df.fillna()" + "\n", + "\n", + "\n", + "#### df.isnull(), df.fillna()" ] }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 99, "metadata": {}, "outputs": [], "source": [ @@ -7059,16 +7309,16 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 100, "metadata": {}, "outputs": [], "source": [ - "df.fillna('X', inplace=True)" + "df.fillna(0, inplace=True)" ] }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 101, "metadata": { "scrolled": false }, @@ -7096,69 +7346,69 @@ " subject_id\n", " computer_has\n", " computer_os\n", - " score_bash\n", " score_command\n", + " score_r\n", " score_matlab\n", " score_perl\n", " score_python\n", - " score_r\n", + " score_bash\n", " \n", " \n", " \n", " \n", - " 10000\n", - " False\n", - " X\n", - " X\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " \n", - " \n", - " 13001\n", + " 861167\n", " True\n", " Mac\n", - " X\n", - " 2\n", - " 3\n", - " 0\n", - " 0\n", + " 1\n", + " 1\n", + " 1\n", " 0\n", + " 1\n", + " 0.0\n", " \n", " \n", - " 60985\n", + " 346538\n", " True\n", - " Windows\n", - " X\n", + " Windows;Unix\n", " 1\n", " 1\n", + " 2\n", " 0\n", " 2\n", - " 1\n", + " 0.0\n", " \n", " \n", - " 43309\n", + " 473138\n", " True\n", " Mac\n", - " X\n", + " 2\n", + " 0\n", " 3\n", " 0\n", + " 2\n", + " 0.0\n", + " \n", + " \n", + " 268370\n", + " True\n", + " Mac\n", + " 1\n", + " 1\n", + " 0\n", " 0\n", " 1\n", - " 2\n", + " 0.0\n", " \n", " \n", - " 89785\n", + " 21801\n", " True\n", - " Windows\n", - " X\n", + " Mac\n", " 2\n", + " 1\n", + " 0\n", " 0\n", " 1\n", - " 2\n", - " 2\n", + " 0.0\n", " \n", " \n", " ...\n", @@ -7172,96 +7422,96 @@ " ...\n", " \n", " \n", - " 31556\n", + " 189753\n", " True\n", - " Mac\n", - " X\n", - " 2\n", + " Mac;Windows;Unix\n", " 3\n", " 0\n", + " 3\n", " 0\n", - " 0\n", + " 1\n", + " 0.0\n", " \n", " \n", - " 70964\n", + " 783121\n", " True\n", " Mac\n", - " X\n", - " 1\n", - " 2\n", " 0\n", " 1\n", - " 2\n", + " 0\n", + " 0\n", + " 0\n", + " 0.0\n", " \n", " \n", - " 70155\n", + " 474873\n", " True\n", - " Linux\n", - " X\n", - " 1\n", + " Mac;Unix\n", + " 2\n", + " 2\n", " 1\n", " 0\n", " 1\n", - " 0\n", + " 0.0\n", " \n", " \n", - " 47724\n", + " 481858\n", " True\n", " Mac\n", - " X\n", - " 0\n", " 1\n", + " 2\n", " 0\n", " 0\n", - " 0\n", + " 1\n", + " 0.0\n", " \n", " \n", - " 37602\n", + " 318480\n", " True\n", - " Linux\n", - " X\n", - " 2\n", - " 0\n", + " Mac\n", " 1\n", " 1\n", - " 2\n", + " 0\n", + " 0\n", + " 0\n", + " 0.0\n", " \n", " \n", "\n", - "

14 rows Γ— 8 columns

\n", + "

31 rows Γ— 8 columns

\n", "" ], "text/plain": [ - "subject_id computer_has computer_os score_bash score_command score_matlab \\\n", - "10000 False X X 0 0 \n", - "13001 True Mac X 2 3 \n", - "60985 True Windows X 1 1 \n", - "43309 True Mac X 3 0 \n", - "89785 True Windows X 2 0 \n", - "... ... ... ... ... ... \n", - "31556 True Mac X 2 3 \n", - "70964 True Mac X 1 2 \n", - "70155 True Linux X 1 1 \n", - "47724 True Mac X 0 1 \n", - "37602 True Linux X 2 0 \n", - "\n", - "subject_id score_perl score_python score_r \n", - "10000 0 0 0 \n", - "13001 0 0 0 \n", - "60985 0 2 1 \n", - "43309 0 1 2 \n", - "89785 1 2 2 \n", - "... ... ... ... \n", - "31556 0 0 0 \n", - "70964 0 1 2 \n", - "70155 0 1 0 \n", - "47724 0 0 0 \n", - "37602 1 1 2 \n", - "\n", - "[14 rows x 8 columns]" + "subject_id computer_has computer_os score_command score_r \\\n", + "861167 True Mac 1 1 \n", + "346538 True Windows;Unix 1 1 \n", + "473138 True Mac 2 0 \n", + "268370 True Mac 1 1 \n", + "21801 True Mac 2 1 \n", + "... ... ... ... ... \n", + "189753 True Mac;Windows;Unix 3 0 \n", + "783121 True Mac 0 1 \n", + "474873 True Mac;Unix 2 2 \n", + "481858 True Mac 1 2 \n", + "318480 True Mac 1 1 \n", + "\n", + "subject_id score_matlab score_perl score_python score_bash \n", + "861167 1 0 1 0.0 \n", + "346538 2 0 2 0.0 \n", + "473138 3 0 2 0.0 \n", + "268370 0 0 1 0.0 \n", + "21801 0 0 1 0.0 \n", + "... ... ... ... ... \n", + "189753 3 0 1 0.0 \n", + "783121 0 0 0 0.0 \n", + "474873 1 0 1 0.0 \n", + "481858 0 0 1 0.0 \n", + "318480 0 0 0 0.0 \n", + "\n", + "[31 rows x 8 columns]" ] }, - "execution_count": 99, + "execution_count": 101, "metadata": {}, "output_type": "execute_result" } @@ -7295,7 +7545,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.0" } }, "nbformat": 4, From 6aa5e756a3bb33ad264bbdd6ab392907370adebd Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 6 Nov 2018 10:05:31 -0800 Subject: [PATCH 39/78] adding assignment 4 answers --- assignments/answers/assignment4_answers.ipynb | 570 ++++++++++++++++++ 1 file changed, 570 insertions(+) create mode 100644 assignments/answers/assignment4_answers.ipynb diff --git a/assignments/answers/assignment4_answers.ipynb b/assignments/answers/assignment4_answers.ipynb new file mode 100644 index 0000000..b6bf2bc --- /dev/null +++ b/assignments/answers/assignment4_answers.ipynb @@ -0,0 +1,570 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Answers to Assignment 4 - Python Fundamentals II\n", + "\n", + "Complete the tasks below. Please turn in a single Jupyter notebook named `4_first_last.ipynb` (substitute your first and last name). Please run Kernel > Restart & Run All on your notebook before turning in.\n", + "\n", + "#### A. Lists and loops\n", + "\n", + "1. Create a list of 10 random integers in the range of -100 to 100. \n", + "2. Loop through that list using a for loop. Put the non-negative (positive or zero) integers into a new list. If negative integers are encountered, print a message saying that the value is negative and printing that value.\n", + "\n", + "#### B. Functions, lists, and loops\n", + "\n", + "1. Write a function that does what you did in part A but with the following differences: \n", + " - The input list can be any list of numbers.\n", + " - The function should take as a parameter a threshold for being included in the new list (e.g., if you want non-negative integers, the threshold would be 0, and the function would check if values are >= to this value).\n", + " - The printed message for failing to be included should also report the threshold parameter.\n", + " - The new list should be returned by the function.\n", + "\n", + "#### C. Dictionaries and list enumeration\n", + "\n", + "1. Create a two-dimensional list with 3 'rows' and 4 'columns' and a mixture of strings and integers. \n", + "2. Loop through each element of the list and check if each element is a string or an integer. \n", + "3. Save the strings as a dictionary with the index (row, column) as the key and the string as the value.\n", + "4. Save the integers as a dictionary with the index (row, column) as the key and the integer as the value.\n", + "\n", + "#### D. List comprehension and saving files\n", + "\n", + "1. Create a list of 5 strings that are first and last names, e.g. `'Jon Doe'`. \n", + "2. Use a list comprehension (a single-line command) to get the first initial from each name and store each string (e.g. `'J'`) in a new list. \n", + "3. Repeat but store both the first and last initial (e.g. `'JD'`) in a new list. \n", + "4. Save this second list to a text file.\n", + "\n", + "#### E. Reading files, sets, and saving files\n", + "\n", + "1. Download this text file of past [World Series winners](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/world_series_winners.txt). \n", + "2. Read in the lines of the file to a list, so that each line is an element of the list. \n", + "3. Create a new list with just those list elements that contain 'New York'; print that list, making sure there's not an extra newline character between each line. \n", + "4. Use the set class to convert the list of all World Series winners to a list of unique values. \n", + "5. Write the output to a new file." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to A. Lists and loops\n", + "\n", + "1. Create a list of 10 random integers in the range of -100 to 100. \n", + "2. Loop through that list using a for loop. Put the non-negative (positive or zero) integers into a new list. If negative integers are encountered, print a message saying that the value is negative and printing that value." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import random" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[4, 57, -78, -13, -35, 97, -52, -55, 28, -21]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# one way\n", + "list1 = random.sample(range(-100,100), 10)\n", + "list1" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[-82, -3, 71, 7, -64, 88, 55, 11, 6, 66]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# another way\n", + "list1 = [random.randrange(-100, 100) for i in range(10)]\n", + "list1" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The value of -82 is negative\n", + "The value of -3 is negative\n", + "The value of -64 is negative\n" + ] + }, + { + "data": { + "text/plain": [ + "[71, 7, 88, 55, 11, 6, 66]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list2 = []\n", + "for item in list1:\n", + " if item >= 0:\n", + " list2.append(item)\n", + " else:\n", + " print('The value of %s is negative' % item)\n", + "list2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to B. Functions, lists, and loops\n", + "\n", + "1. Write a function that does what you did in part A but with the following differences: \n", + " - The input list can be any list of numbers.\n", + " - The function should take as a parameter a threshold for being included in the new list (e.g., if you want non-negative integers, the threshold would be 0, and the function would check if values are >= to this value).\n", + " - The printed message for failing to be included should also report the threshold parameter.\n", + " - The new list should be returned by the function." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def new_list_from_criterion(mylist, mycutoff):\n", + " newlist = []\n", + " for item in mylist:\n", + " if item >= mycutoff:\n", + " newlist.append(item)\n", + " else:\n", + " print('The value of %s is not >= %s' % (item, mycutoff))\n", + " return(newlist)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The value of -82 is not >= 0\n", + "The value of -3 is not >= 0\n", + "The value of -64 is not >= 0\n" + ] + }, + { + "data": { + "text/plain": [ + "[71, 7, 88, 55, 11, 6, 66]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "new_list_from_criterion(list1, -0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to C. Dictionaries and list enumeration\n", + "\n", + "1. Create a two-dimensional list with 3 'rows' and 4 'columns' and a mixture of strings and integers. \n", + "2. Loop through each element of the list and check if each element is a string or an integer. \n", + "3. Save the strings as a dictionary with the index (row, column) as the key and the string as the value.\n", + "4. Save the integers as a dictionary with the index (row, column) as the key and the integer as the value." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[[1, 'mango', 3, 'oranges'],\n", + " ['peach', 'apple', 50, -50],\n", + " [13, -11, 'bananas', 'grape']]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list2d = [[1, 'mango', 3, 'oranges'],\n", + " ['peach', 'apple', 50, -50],\n", + " [13, -11, 'bananas', 'grape']]\n", + "list2d" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "strdict = {}\n", + "intdict = {}\n", + "for row_index, row in enumerate(list2d):\n", + " for col_index, item in enumerate(row):\n", + " if isinstance(item, str):\n", + " strdict[(row_index, col_index)] = item\n", + " elif isinstance(item, int):\n", + " intdict[(row_index, col_index)] = item" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{(0, 1): 'mango',\n", + " (0, 3): 'oranges',\n", + " (1, 0): 'peach',\n", + " (1, 1): 'apple',\n", + " (2, 2): 'bananas',\n", + " (2, 3): 'grape'}" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "strdict" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{(0, 0): 1, (0, 2): 3, (1, 2): 50, (1, 3): -50, (2, 0): 13, (2, 1): -11}" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "intdict" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to D. List comprehension and saving files\n", + "\n", + "1. Create a list of 5 strings that are first and last names, e.g. `'Jon Doe'`. \n", + "2. Use a list comprehension (a single-line command) to get the first initial from each name and store each string (e.g. `'J'`) in a new list. \n", + "3. Repeat but store both the first and last initial (e.g. `'JD'`) in a new list. \n", + "4. Save this second list to a text file." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "names = ['Buzz Aldrin', 'Neil Armstrong', 'Gordon Cooper', 'James Lovell', 'Edgar Mitchell']" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['B', 'N', 'G', 'J', 'E']" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "first_initial = [name[0] for name in names]\n", + "first_initial" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['BA', 'NA', 'GC', 'JL', 'EM']" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "first_last_initial = [name.split(' ')[0][0] + name.split(' ')[1][0] for name in names]\n", + "first_last_initial" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "with open('../../data/assign4_q4.txt', 'w') as target:\n", + " for initials in first_last_initial:\n", + " target.write(initials)\n", + " target.write('\\n')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to E. Reading files, sets, and saving files\n", + "\n", + "1. Download this text file of past [World Series winners](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/world_series_winners.txt). \n", + "2. Read in the lines of the file to a list, so that each line is an element of the list. \n", + "3. Create a new list with just those list elements that contain 'New York'; print that list, making sure there's not an extra newline character between each line. \n", + "4. Use the `set` class to convert the list of all World Series winners to a list of unique values. \n", + "5. Write the output to a new file." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "# one way\n", + "with open ('../../data/world_series_winners.txt', \"r\") as f:\n", + " winners = f.read().splitlines()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "# another way\n", + "with open('../../data/world_series_winners.txt', 'r') as f:\n", + " winners = f.readlines()\n", + "winners = [team.rstrip() for team in winners]" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['New York Giants',\n", + " 'New York Giants',\n", + " 'New York Giants',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Giants',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Giants',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Mets',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Mets',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees',\n", + " 'New York Yankees']" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "new_york_winners = [team for team in winners if 'New York' in team]\n", + "new_york_winners" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'Anaheim Angels',\n", + " 'Arizona Diamondbacks',\n", + " 'Atlanta Braves',\n", + " 'Baltimore Orioles',\n", + " 'Boston Americans',\n", + " 'Boston Braves',\n", + " 'Boston Red Sox',\n", + " 'Brooklyn Dodgers',\n", + " 'Chicago Cubs',\n", + " 'Chicago White Sox',\n", + " 'Cincinnati Reds',\n", + " 'Cleveland Indians',\n", + " 'Detroit Tigers',\n", + " 'Florida Marlins',\n", + " 'Houston Astros',\n", + " 'Kansas City Royals',\n", + " 'Los Angeles Dodgers',\n", + " 'Milwaukee Braves',\n", + " 'Minnesota Twins',\n", + " 'New York Giants',\n", + " 'New York Mets',\n", + " 'New York Yankees',\n", + " 'No World Series',\n", + " 'Oakland Athletics',\n", + " 'Philadelphia Athletics',\n", + " 'Philadelphia Phillies',\n", + " 'Pittsburgh Pirates',\n", + " 'San Francisco Giants',\n", + " 'St. Louis Cardinals',\n", + " 'Toronto Blue Jays',\n", + " 'Washington Senators'}" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "unique_winners = set(winners)\n", + "unique_winners" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "with open('../../data/assign4_q5.txt', 'w') as target:\n", + " for team in sorted(list(unique_winners)):\n", + " target.write(team)\n", + " target.write('\\n')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.0" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} From 90a51d83c46818b7d73425513635569d245e2360 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 6 Nov 2018 10:14:03 -0800 Subject: [PATCH 40/78] minor cleanup --- assignments/answers/assignment3_answers.ipynb | 46 +------------------ assignments/answers/assignment4_answers.ipynb | 44 +----------------- 2 files changed, 2 insertions(+), 88 deletions(-) diff --git a/assignments/answers/assignment3_answers.ipynb b/assignments/answers/assignment3_answers.ipynb index 927dd12..c042e5c 100644 --- a/assignments/answers/assignment3_answers.ipynb +++ b/assignments/answers/assignment3_answers.ipynb @@ -6,51 +6,7 @@ "source": [ "### Answers to Assignment 3 - Python Fundamentals I\n", "\n", - "Complete the tasks below. You should turn in a single Jupyter notebook named `3_first_last.ipynb` (substitute your first and last name); please run Kernel > Restart & Run All on your notebook before turning in. Also turn in the input CSV file used in question B3. For questions where Python scripts are used instead of the Jupyter notebook (questions A1, B1, B2), instructions are provided about pasting output/scripts into Markdown cells in your notebook.\n", - "\n", - "#### A. Python basics, strings, printing (Shaw Exercises 1–10)\n", - "\n", - "1. Take the file of Python code you generated in Exercise 1, called `ex1.py`, and run it on the command line. Copy the command and output from your terminal and paste it in a Markdown cell in your Jupyter notebook. (Ex1)\n", - "2. Print a sentence that contains a phrase in double quotes; print a sentence that contains an apostrophe. (Ex1)\n", - "3. Deliberately enter five incorrect commands (in separate cells) and interpret the error messages (in Markdown cells). (Ex1)\n", - "4. Add comments to your code in \\#2 and \\#3 explaining what is happening. (Ex2)\n", - "5. Write and evaluate five mathematical expressions. (Ex3)\n", - "6. Assign values to three numeric and three string variables. (Ex4)\n", - "7. Print values of the six variables you assigned in \\#6. (Ex4–5)\n", - "8. Print two strings in raw format (%r formatter) and two strings in general/string format (%s formatter) with formatting characters. (Ch6)\n", - "9. Concatenate two strings into a third string, then find the length of all three strings.\n", - "10. Print the three strings from \\#9 with a tab between the first and second and a newline between the second and third.\n", - "11. Print the three strings from \\#9 with a stored formatter. (Ch7–8)\n", - "12. Print a piece of text with five lines using both newline characters and a text block. (Ex9)\n", - "13. Print a string containing a backslash, single-quote, double-qoute, newline, and tab. (Ex10)\n", - "\n", - "#### B. Taking input, reading and writing files, functions (Shaw Exercises 11-26) \n", - "\n", - "1. Write some code, without using functions, that calculates the average of 5 numbers. Do it three different ways:\n", - "\n", - " - Write a .py file that takes input from the command line using `input()`. After the script works, paste the text of the file into your Jupyter notebook.\n", - " - Write a .py file that takes input from the command line using `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", - " - Enter code into two Jupyter notebooks cells: the first stores value as variables, and the second computes the average.\n", - "\n", - "2. Using functions, write some code that takes two strings, prints them with the first letter capitalized, prints them with all letters capitalized, prints the first and last letter of each, prints the length of each, and then prints the concatenation of the two strings. Do it two different ways:\n", - "\n", - " - Write a .py file that uses `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", - " - In your Jupyter notebook, comment out the `argv` portions and hard code in the values of your strings. Then make sure the code runs the same.\n", - "\n", - "3. Using a text editor, create a comma-separated values (CSV) file with 5 columns and 5 rows. Save it in the same directory as your Jupyter notebook. In the Jupyter notebook, read and print the file in different ways, and write new files, as follows:\n", - "\n", - " - Read your CSV file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!).\n", - " - Do the same but use a `with` block and a different one of `read()`, `readline()`, or `readlines()`.\n", - " - Using either of the two above methods to read in the file, then change one row of data (i.e., modify the string or list), then write your csv data to a new file.\n", - " - Read your CSV file using Pandas and display the resulting DataFrame.\n", - " - Save your DataFrame to a new file using Pandas.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---" + "Complete the tasks below. You should turn in a single Jupyter notebook named `3_first_last.ipynb` (substitute your first and last name); please run Kernel > Restart & Run All on your notebook before turning in. Also turn in the input CSV file used in question B3. For questions where Python scripts are used instead of the Jupyter notebook (questions A1, B1, B2), instructions are provided about pasting output/scripts into Markdown cells in your notebook." ] }, { diff --git a/assignments/answers/assignment4_answers.ipynb b/assignments/answers/assignment4_answers.ipynb index b6bf2bc..4d5a8be 100644 --- a/assignments/answers/assignment4_answers.ipynb +++ b/assignments/answers/assignment4_answers.ipynb @@ -6,49 +6,7 @@ "source": [ "### Answers to Assignment 4 - Python Fundamentals II\n", "\n", - "Complete the tasks below. Please turn in a single Jupyter notebook named `4_first_last.ipynb` (substitute your first and last name). Please run Kernel > Restart & Run All on your notebook before turning in.\n", - "\n", - "#### A. Lists and loops\n", - "\n", - "1. Create a list of 10 random integers in the range of -100 to 100. \n", - "2. Loop through that list using a for loop. Put the non-negative (positive or zero) integers into a new list. If negative integers are encountered, print a message saying that the value is negative and printing that value.\n", - "\n", - "#### B. Functions, lists, and loops\n", - "\n", - "1. Write a function that does what you did in part A but with the following differences: \n", - " - The input list can be any list of numbers.\n", - " - The function should take as a parameter a threshold for being included in the new list (e.g., if you want non-negative integers, the threshold would be 0, and the function would check if values are >= to this value).\n", - " - The printed message for failing to be included should also report the threshold parameter.\n", - " - The new list should be returned by the function.\n", - "\n", - "#### C. Dictionaries and list enumeration\n", - "\n", - "1. Create a two-dimensional list with 3 'rows' and 4 'columns' and a mixture of strings and integers. \n", - "2. Loop through each element of the list and check if each element is a string or an integer. \n", - "3. Save the strings as a dictionary with the index (row, column) as the key and the string as the value.\n", - "4. Save the integers as a dictionary with the index (row, column) as the key and the integer as the value.\n", - "\n", - "#### D. List comprehension and saving files\n", - "\n", - "1. Create a list of 5 strings that are first and last names, e.g. `'Jon Doe'`. \n", - "2. Use a list comprehension (a single-line command) to get the first initial from each name and store each string (e.g. `'J'`) in a new list. \n", - "3. Repeat but store both the first and last initial (e.g. `'JD'`) in a new list. \n", - "4. Save this second list to a text file.\n", - "\n", - "#### E. Reading files, sets, and saving files\n", - "\n", - "1. Download this text file of past [World Series winners](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/world_series_winners.txt). \n", - "2. Read in the lines of the file to a list, so that each line is an element of the list. \n", - "3. Create a new list with just those list elements that contain 'New York'; print that list, making sure there's not an extra newline character between each line. \n", - "4. Use the set class to convert the list of all World Series winners to a list of unique values. \n", - "5. Write the output to a new file." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---" + "Complete the tasks below. Please turn in a single Jupyter notebook named `4_first_last.ipynb` (substitute your first and last name). Please run Kernel > Restart & Run All on your notebook before turning in." ] }, { From 0ae9eed89dd8d8c68767354bac25850175e1f5ce Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 6 Nov 2018 11:46:54 -0800 Subject: [PATCH 41/78] adding explicit instructions to print output --- assignments/answers/assignment4_answers.ipynb | 16 ++++++++-------- assignments/assignment4.md | 14 +++++++------- 2 files changed, 15 insertions(+), 15 deletions(-) diff --git a/assignments/answers/assignment4_answers.ipynb b/assignments/answers/assignment4_answers.ipynb index 4d5a8be..82fb7d0 100644 --- a/assignments/answers/assignment4_answers.ipynb +++ b/assignments/answers/assignment4_answers.ipynb @@ -119,7 +119,8 @@ " - The input list can be any list of numbers.\n", " - The function should take as a parameter a threshold for being included in the new list (e.g., if you want non-negative integers, the threshold would be 0, and the function would check if values are >= to this value).\n", " - The printed message for failing to be included should also report the threshold parameter.\n", - " - The new list should be returned by the function." + " - The new list should be returned by the function.\n", + "2. Execute the function on your list of 10 random integers." ] }, { @@ -174,9 +175,8 @@ "#### Answer to C. Dictionaries and list enumeration\n", "\n", "1. Create a two-dimensional list with 3 'rows' and 4 'columns' and a mixture of strings and integers. \n", - "2. Loop through each element of the list and check if each element is a string or an integer. \n", - "3. Save the strings as a dictionary with the index (row, column) as the key and the string as the value.\n", - "4. Save the integers as a dictionary with the index (row, column) as the key and the integer as the value." + "2. Loop through each element of the list and check if each element is a string or an integer. Save the strings as a dictionary with the index (row, column) as the key and the string as the value. Save the integers as a dictionary with the index (row, column) as the key and the integer as the value.\n", + "3. Print out your dictionaries (no `print` command required)." ] }, { @@ -274,8 +274,8 @@ "#### Answer to D. List comprehension and saving files\n", "\n", "1. Create a list of 5 strings that are first and last names, e.g. `'Jon Doe'`. \n", - "2. Use a list comprehension (a single-line command) to get the first initial from each name and store each string (e.g. `'J'`) in a new list. \n", - "3. Repeat but store both the first and last initial (e.g. `'JD'`) in a new list. \n", + "2. Use a list comprehension (a single-line command) to get the first initial from each name and store each string (e.g. `'J'`) in a new list. Print this list (no `print` command required).\n", + "3. Repeat but store both the first and last initial (e.g. `'JD'`) in a new list. Print this list (no `print` command required).\n", "4. Save this second list to a text file." ] }, @@ -350,8 +350,8 @@ "\n", "1. Download this text file of past [World Series winners](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/world_series_winners.txt). \n", "2. Read in the lines of the file to a list, so that each line is an element of the list. \n", - "3. Create a new list with just those list elements that contain 'New York'; print that list, making sure there's not an extra newline character between each line. \n", - "4. Use the `set` class to convert the list of all World Series winners to a list of unique values. \n", + "3. Create a new list with just those list elements that contain 'New York'; print that list, making sure there's not an extra newline character between each line. Print this list (no `print` command required).\n", + "4. Use the `set` class to convert the list of all World Series winners to a list of unique values. Print this list (no `print` command required).\n", "5. Write the output to a new file." ] }, diff --git a/assignments/assignment4.md b/assignments/assignment4.md index 7dc35f0..5c10f21 100644 --- a/assignments/assignment4.md +++ b/assignments/assignment4.md @@ -14,25 +14,25 @@ Complete the tasks below. Please turn in a single Jupyter notebook named `4_firs - The function should take as a parameter a threshold for being included in the new list (e.g., if you want non-negative integers, the threshold would be 0, and the function would check if values are >= to this value). - The printed message for failing to be included should also report the threshold parameter. - The new list should be returned by the function. +2. Execute the function on your list of 10 random integers. #### C. Dictionaries and list enumeration 1. Create a two-dimensional list with 3 'rows' and 4 'columns' and a mixture of strings and integers. -2. Loop through each element of the list and check if each element is a string or an integer. -3. Save the strings as a dictionary with the index (row, column) as the key and the string as the value. -4. Save the integers as a dictionary with the index (row, column) as the key and the integer as the value. +2. Loop through each element of the list and check if each element is a string or an integer. Save the strings as a dictionary with the index (row, column) as the key and the string as the value. Save the integers as a dictionary with the index (row, column) as the key and the integer as the value. +3. Print out your dictionaries (no `print` command required). #### D. List comprehension and saving files 1. Create a list of 5 strings that are first and last names, e.g. `'Jon Doe'`. -2. Use a list comprehension (a single-line command) to get the first initial from each name and store each string (e.g. `'J'`) in a new list. -3. Repeat but store both the first and last initial (e.g. `'JD'`) in a new list. +2. Use a list comprehension (a single-line command) to get the first initial from each name and store each string (e.g. `'J'`) in a new list. Print this list (no `print` command required). +3. Repeat but store both the first and last initial (e.g. `'JD'`) in a new list. Print this list (no `print` command required). 4. Save this second list to a text file. #### E. Reading files, sets, and saving files 1. Download this text file of past [World Series winners](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/world_series_winners.txt). 2. Read in the lines of the file to a list, so that each line is an element of the list. -3. Create a new list with just those list elements that contain 'New York'; print that list, making sure there's not an extra newline character between each line. -4. Use the `set` class to convert the list of all World Series winners to a list of unique values. +3. Create a new list with just those list elements that contain 'New York'; print that list, making sure there's not an extra newline character between each line. Print this list (no `print` command required). +4. Use the `set` class to convert the list of all World Series winners to a list of unique values. Print this list (no `print` command required). 5. Write the output to a new file. From 4991ed515e8e4ab501106820c1e863d6d8984a75 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 6 Nov 2018 13:12:11 -0800 Subject: [PATCH 42/78] updates to assignment 6 --- assignments/assignment5.md | 8 +++---- assignments/assignment6.md | 46 +++++++++++++++++++------------------- 2 files changed, 27 insertions(+), 27 deletions(-) diff --git a/assignments/assignment5.md b/assignments/assignment5.md index ddacd72..55c2ebb 100644 --- a/assignments/assignment5.md +++ b/assignments/assignment5.md @@ -4,7 +4,7 @@ Complete the tasks below. Please turn in a single Jupyter notebook named `5_firs #### A. Regular expressions in the command line -Setup: Download [scripps_pier_20151110.csv](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/scripps_pier_20151110.csv) to your directory `~/sio209/data`, if you haven't already. You will use regular expressions to get information from the file. +Setup: Download [`scripps_pier_20151110.csv`](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/scripps_pier_20151110.csv) to your directory `~/sio209/data`, if you haven't already. You will use regular expressions to get information from the file. 1. Get all the rows with data from 11/10/15 using grep. How would you keep the header line also? (Hint: to get an "or", use `\|` in grep or `|` in egrep.) 2. Get all the rows where the third column (pressure) begins with a "3" using grep. (Hint: if you want to match a period `.` and not any character, you can escape it with `\.`.) @@ -28,6 +28,6 @@ Setup: Import the `re` module. #### D. Pandas basics -1. Read in the csv file scripps_pier_20151110.csv as a Pandas DataFrame with the index as the Date column and the column headers from the first row of that file. -2. Print all the date/times from 11/10/15. Hint: you can get the indexes from the DataFrame, convert it to a list, then iterate over that list (using a for loop or list comprehension), and then use `re.match` or `re.search`. -3. Print all the rows from 11/10/15. Hint: you can use your answer to the exercise you just did but use `.loc` indexing. +1. Read in the csv file `scripps_pier_20151110.csv` as a Pandas DataFrame with the index as the Date column and the column headers from the first row of that file. +2. Print all the date/times from 11/10/15. (Hint: you can get the indexes from the DataFrame, convert it to a list, then iterate over that list (using a for loop or list comprehension), and then use `re.match` or `re.search`.) +3. Print all the rows from 11/10/15. (Hint: you can use your answer to the exercise you just did but use `.loc` indexing.) diff --git a/assignments/assignment6.md b/assignments/assignment6.md index 1b50687..e92bdb4 100644 --- a/assignments/assignment6.md +++ b/assignments/assignment6.md @@ -4,7 +4,7 @@ Complete the tasks below. Please turn in a single Jupyter notebook named `6_firs #### The Earth Microbiome Project -For this assignment, we will use Pandas to examine metadata from the [Earth Microbiome Project](http://earthmicrobiome.org/). +For this assignment, we will use Pandas to examine metadata from the [Earth Microbiome Project](http://www.earthmicrobiome.org/). First, download the metadata file for a 2,000-sample subset of the >27,000 samples in the Release 1 16S rRNA dataset. @@ -12,34 +12,34 @@ First, download the metadata file for a 2,000-sample subset of the >27,000 sampl curl -O "ftp://ftp.microbio.me/emp/release1/mapping_files/emp_qiime_mapping_subset_2k.tsv" ``` -**1.** Reading and summarizing. +#### A. Reading and summarizing -* Import the tab-separated values file `emp_qiime_mapping_subset_2k.tsv` as a DataFrame called `df` with default data types, with the first row as column labels (columns) and the first column as row labels (indexes). -* The indexes should be the sample IDs. How many samples are in this DataFrame? How many metadata columns? -* What are the minimum and maximum pH values in the dataset? -* What are the average and standard deviation temperature values in the dataset? +1. Import the tab-separated values file `emp_qiime_mapping_subset_2k.tsv` as a DataFrame called `df` with default data types, with the first row as column labels (columns) and the first column as row labels (indexes). +2. The indexes should be the sample IDs. How many samples are in this DataFrame? How many metadata columns? +3. What are the minimum and maximum pH values in the dataset? +4. What are the average and standard deviation temperature values in the dataset? -**2.** Indexing, slicing, and writing. +#### B. Indexing, slicing, and writing -* Make a new Series called `temp` with the temperature column as its own Series object. Remove NaN values (`np.nan`) from this Series. How many values are left? -* Make a new DataFrame called `df_seqs` from columns `sequences_split_libraries` through `observations_deblur_150bp` (column positions 17-23) of the existing DataFrame. What is the mean value of column `observations_deblur_90bp`? -* Save `df_seqs` as a csv file. +1. Make a new Series called `temp` with the temperature column as its own Series object. Remove NaN values (`np.nan`) from this Series. How many values are left? +2. Make a new DataFrame called `df_seqs` from columns `sequences_split_libraries` through `observations_deblur_150bp` (column positions 17-23) of the existing DataFrame. What is the mean value of column `observations_deblur_90bp`? +3. Save `df_seqs` as a csv file. -**3.** Merging, joining, and concatenating. +#### C. Merging, joining, and concatenating -* Store the first 5 rows of `df_seqs` as a new dataframe called `df_seqs_head`. Store the last 5 rows of `df_seqs` as a new dataframe called `df_seqs_tail`. -* Concatenate `df_seqs_head` and `df_seqs_tail` using the `concat()` function. -* Append `df_seqs_tail` to `df_seqs_head` using the `append()` function. -* Make a new DataFrame called `df_phys` with the pH, temperature, and salinity columns (hint: you will need to know the exact column names; these are some of the last few columns). Make another new DataFrame called `df_empo` with the column `empo_3` (note: this will actually be a Series because it has only one column, but you can treat it like a DataFrame). -* Merge `df_phys` with `df_seqs` using the `merge()` function with the indexes of both DataFrames to make a new DataFrame called `df_merged`. -* Join `df_merged` with `df_empo` using the `join()` function and store the result as `df_merged`. +1. Store the first 5 rows of `df_seqs` as a new dataframe called `df_seqs_head`. Store the last 5 rows of `df_seqs` as a new dataframe called `df_seqs_tail`. +2. Concatenate `df_seqs_head` and `df_seqs_tail` using the `concat()` function. +3. Append `df_seqs_tail` to `df_seqs_head` using the `append()` function. +4. Make a new DataFrame called `df_phys` with the pH, temperature, and salinity columns (hint: you will need to know the exact column names; these are some of the last few columns). Make another new DataFrame called `df_empo` with the column `empo_3` (note: this will actually be a Series because it has only one column, but you can treat it like a DataFrame). +5. Merge `df_phys` with `df_seqs` using the `merge()` function with the indexes of both DataFrames to make a new DataFrame called `df_merged`. +6. Join `df_merged` with `df_empo` using the `join()` function and store the result as `df_merged`. -**4.** Applying functions. +#### D. Applying functions -* Use a list comprehension to add a new column to `df_merged` called `temperature_deg_f` which takes the values in `temperature_deg_c` and converts them to degrees Fahrenheit. -* Create a function that changes a single numerical value from Celsius to Fahrenheit. Apply this function to the values in `temperature_deg_c` using `apply()` to create a new column called `temperature_deg_f_2`. +1. Use a list comprehension to add a new column to `df_merged` called `temperature_deg_f` which takes the values in `temperature_deg_c` and converts them to degrees Fahrenheit. +2. Create a function that changes a single numerical value from Celsius to Fahrenheit. Apply this function to the values in `temperature_deg_c` using `apply()` to create a new column called `temperature_deg_f_2`. -**5.** Sorting. +#### E. Sorting -* Sort the rows in `df_merged` by `sequences_split_libraries` values from high to low and store the result as `df_merged`. -* Sort the columns in `df_merged` by column name from A to Z and store the result as `df_merged`. +1. Sort the rows in `df_merged` by `sequences_split_libraries` values from high to low and store the result as `df_merged`. (Hint: you can use `inplace=True`.) +2. Sort the columns in `df_merged` by column name from A to Z and store the result as `df_merged`. (Hint: you can use `inplace=True`.) From 1e055b2ae48448878ec0d707296f1e58df9053db Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 6 Nov 2018 16:16:54 -0800 Subject: [PATCH 43/78] updates to lesson 13 --- lessons/lesson13.ipynb | 883 ++++++++++++++++++++++++----------------- 1 file changed, 522 insertions(+), 361 deletions(-) diff --git a/lessons/lesson13.ipynb b/lessons/lesson13.ipynb index 793729b..7cedf33 100644 --- a/lessons/lesson13.ipynb +++ b/lessons/lesson13.ipynb @@ -14,6 +14,42 @@ "This lesson is based on the notebook \"Matplotlib - 2D and 3D plotting in Python\" by J.R. Johansson (jrjohansson at gmail.com). His version of this notebook is available at [http://github.com/jrjohansson/scientific-python-lectures](http://github.com/jrjohansson/scientific-python-lectures). The other notebooks in this lecture series are indexed at [http://jrjohansson.github.io](http://jrjohansson.github.io)." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Readings\n", + "\n", + "* McKinney: [Chapter 9. Plotting and Visualization](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/plotting-and-visualization/vis_html)\n", + "* Johansson: [Matplotlib 2D and 3D plotting in Python](http://github.com/jrjohansson/scientific-python-lectures)\n", + "\n", + "### Table of Contents\n", + "\n", + "* [Introduction](#introduction)\n", + "* [MATLAB-like API](#matlab)\n", + "* [Matplotlib API](#matplotlib)\n", + "* [Figure size, aspect ratio and DPI](#figsize)\n", + "* [Saving figures](#saving)\n", + "* [Legends, labels and titles](#legends)\n", + "* [Formatting text: LaTeX, fontsize, font family](#formattingtext)\n", + "* [Setting colors, linewidths, linetypes](#linestyle)\n", + "* [Control over axis appearance](#appearance)\n", + "* [Placement of ticks and custom tick labels](#ticks)\n", + "* [Axis number and axis label spacing](#axes)\n", + "* [Axis grid](#grid)\n", + "* [Axis spines](#spines)\n", + "* [Twin axes](#twinaxes)\n", + "* [Axes where x and y are zero](#xyzero)\n", + "* [Other 2D plot styles](#otherplots)\n", + "* [Text annotation](#textannotation)\n", + "* [Figures with multiple subplots and insets](#subplotsinsets)\n", + "* [Colormap and contour figures](#colormap)\n", + "* [3D figures](#3d)\n", + "* [Further reading](#reading)\n", + "* [Other tutorials](#tutorials)\n", + "* [Versions](#versions)" + ] + }, { "cell_type": "code", "execution_count": 1, @@ -30,13 +66,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Introduction" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "## Introduction\n", + "\n", "Matplotlib is an excellent 2D and 3D graphics library for generating scientific figures. Some of the many advantages of this library include:\n", "\n", "* Easy to get started\n", @@ -95,13 +128,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## MATLAB-like API" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "## MATLAB-like API\n", + "\n", "The easiest way to get started with plotting using matplotlib is often to use the MATLAB-like API provided by matplotlib, called `pylab`. \n", "\n", "`pylab` is designed to be compatible with MATLAB's plotting functions, so it is easy to get started with if you are familiar with MATLAB." @@ -139,7 +169,7 @@ { "data": { "text/plain": [ - "Text(0.5,1,'title')" + "Text(0.5, 1.0, 'title')" ] }, "execution_count": 6, @@ -148,12 +178,14 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -202,13 +236,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## The matplotlib object-oriented API" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "## The matplotlib object-oriented API\n", + "\n", "The main idea with object-oriented programming is to have objects that one can apply functions and actions on, and no object or program states should be global (such as the MATLAB-like API). The real advantage of this approach becomes apparent when more than one figure is created, or when a figure contains more than one subplot. \n", "\n", "To use the object-oriented API we start out very much like in the previous example, but instead of creating a new global figure instance we store a reference to the newly created figure instance in the `fig` variable, and from it we create a new axis instance `axes` using the `add_axes` method in the `Figure` class instance `fig`:" @@ -221,12 +252,14 @@ "outputs": [ { "data": { - "image/png": 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\n", 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wKaW0PTCp8rmkHH77W9hlF7j3Xhg1CkaPhh49cqdSgyutNFJKDwKvLffwocDYysdjgcPKOr6kVbj7bhg4sJjwnjQJ/vVfcydSk6j3nMbmKaVXACrvHQdL9ZQS/PCHcNBB0NFR7CflfTC0Bhp2IjwihkVEZ0R0LliwIHccqfktXgxDhsDIkXDkkcWCvX/4h9yp1GTqXRrzImILgMr7+Sv7wpTSFSmlASmlAX379q1bQKklzZlTjCiuvx6+971iDUbPnrlTqQnVuzRuB4ZWPh4K3Fbn40vtZ8oUGDCguHnSbbcVq7wjcqdSkyrzkttxwFRgx4iYExEnAxcCgyLiBWBQ5XNJZRkzprgHRq9e8OijxeW10joobRuRlNJxK3lq37KOKanivffgzDPhJz+BQYPghhugd+/cqdQCGnYiXNJaWriw2M78Jz+BM86ACRMsDNWMGxZKreSZZ+DQQ+Hll+Gaa2Do0NV+i7QmHGlIreKWW2C33eCdd4pbsloYKoGlITW7Zcvgu9+FI46AT36yWLC3yy65U6lFeXpKamZvvQUnnQTjx8OJJ8LPfw7rr587lVqYpSE1qz/8oZi/mDEDLrkETj/d9RcqnaUhNaPJk+Hoo4t7Ydx1F+y/f+5EahPOaUjNJCW4/PJi7cVmm8Hjj1sYqitLQ2oWS5bAsGFw2mlw4IHFCu/tt8+dSm3G0pCawbx5sM8+cNVVxd5Rt94KG22UO5XakHMaUqObNg0OO6xY6X3jjXDMMbkTqY050pAa2bhxsMcesN56xW61FoYyszSkRrR0KXz723D88fCZz8ATT0C/frlTSZaG1HBmzYJ994WLLoJTToH77iuulJIagKUhNYply+BnP4N/+if49a+Le2GMHg09euROJv2VE+FSI5g1C04+Ge6/v9jW/MorYeutc6eS3seRhpRT19HFk08Wl9TedZeFoYblSEPKxdGFmpAjDaneHF2oiTnSkOrJ0YWanCMNqR4cXahFONKQyuboQi3EkYZUFkcXakGONKQyOLpQi3KkIdWSowu1OEcaUq04ulAbcKQhrStHF2ojjjSkdeHoQm3GkYa0NhxdqE050pDWlKMLtTFHGlK1HF1IjjSkqji6kABHGtKqObqQ/k6WkUZEzAYWAUuB91JKA3LkkFbJ0YX0PjlPT+2dUno14/GlFVu2DEaNgm99C7p1K0YX//IvEJE7mZSdcxpSV44upFXKNaeRgHsjYlpEDFvRF0TEsIjojIjOBQsW1Dme2s5bb8H3v+/chbQauUYau6eU5kbEZsDEiHg+pfRg1y9IKV0BXAEwYMCAlCOk2sDixcWpqB/8AF59FQ49FH76U8tCWoksI42U0tzK+/nALcDAHDnUxpYsgdGjYbvt4MwzoV8/ePRRuPVWC0NahbqXRkT0jIgN//IxsD/wbL1zqE0tXQpjx8I//iOceip0dMDkyTBxIuyyS+50UsPLMdLYHHg4Ip4CHgfuTCndnSGH2smyZfA//wM77QQnnQSbbAITJsDDD8PnP587ndQ06j6nkVKaBXy63sdVm0oJ7rwT/uM/YPp0+MQnYPx4OPxwL6GV1oIrwtW6Jk2Cz34WvvhFWLQIfvELePppOOIIC0NaS5aGWs/UqbDPPrDffjBnDlxxBcycCSecUCzWk7TWLA21jl//Gg4+uBhdzJgBl14KL7wAX/kKdO+eO53UEiwNNb+ZM+Hoo2HnnWHKlGLNxaxZMGIErL9+7nRSS3EbETWvWbPgO9+B666DDTaAc8+FM86AjTfOnUxqWZaGms+cOfC978HVV8MHPgDf+EaxuWCfPrmTSS3P0lDzmD+/OPU0alSx7uKUU+Dss2GLLXInk9qGpaHG9+c/w8UXw2WXFXtFDR1anIrq6MidTGo7loYa16JFRVFcfDG88QYceyycfz7suGPuZFLbsjTUeJbfefaQQ+A//7PYtlxSVl5yq8axZElRFn/ZebZ/f3jsMbjtNgtDahCWhvLruvPsV78K225b3Dnv3nthoLvmS43E0lA+CxfC5Zf/befZ3r2Lu+U99BDstVfudJJWwDkN1deSJUUxjB0Ld9wB775bnIZy51mpKVgaKl9KxX23x46FceOKye3NN4fTToMTT4RPu1O+1CwsDZVn7ly4/vqiLGbMgB49intwDx0KBxxQrOaW1FT8v1a1tXhxcZ/tsWOLW6guWwa77VZcFfWlLxV3zJPUtCwNrbuUitumXnst3HQTvPkmbLMNnHVWcfpphx1yJ5RUI5aG1t4f/lAUxbXXFjvO9uwJRx1VnH7aay9Yz4vzpFZjaWjNvPkm3HxzcfrpwQeLq5323hvOO6+4jWqvXrkTSiqRpaHVW7q0uN/22LFwyy3FvMX22xfbkw8ZUpyKktQWLA2t3HPPFUVx3XXFlVAbb1yceho6FHbZxTUVUhuyNPT3Fi4s1lKMHQudndCtG3zhC8X9tr/4RW+fKrU5S0MrXqX96U/DJZfA8ccXC/EkCUujfblKW9JasDTaRUowezZMnQqPPlpMbD/3nKu0Ja0Rf0K0qsWLizmJqVP/9jZvXvHcBhsUE9mnneYqbUlrxNJoBcuPIqZOhenT4b33iue32w723x923bXY0uNTn3JEIWmt+JOjGa1uFDFwIHzzm0VB7Lor9O2bN6+klmFpNLquo4i/jCQcRUjKxJ8ujcZRhKQGZmnktPwoYupUeOopRxGSGpY/gerJUYSkJpelNCJiMHAZ0A24KqV0YY4cay0lePvtYsuNNXl7442//RmOIiQ1obr/lIqIbsDPgEHAHOCJiLg9pfRcvbMAxamg116r7od+169bsmTlf+ZGG8Gmm/7tbfvti/d9+0K/fo4iJDWtHL/aDgR+l1KaBRARNwCHArUvjUWLihsEVfvb//K6dy9+2PfuXbzfbrtiUVzXQlj+rXfv4vskqQXlKI0tgT92+XwOsMvyXxQRw4BhANus7f0aFi+G4cOLj1f22/+q3nr1cvtvSeoiR2ms6Kdwet8DKV0BXAEwYMCA9z1flT594E9/8rd/SaqRHKUxB9i6y+dbAXNLOdJ667mttyTV0HoZjvkEsH1EbBsRPYBjgdsz5JAkraG6jzRSSu9FxHDgHopLbseklGbUO4ckac1lWRiQUpoATMhxbEnS2stxekqS1KQsDUlS1SwNSVLVLA1JUtUsDUlS1SKltVtsXU8RsQB4cR3+iD7AqzWK00za9XWDr93X3n7W9bX/Q0pptTupNkVprKuI6EwpDcido97a9XWDr93X3n7q9do9PSVJqpqlIUmqWruUxhW5A2TSrq8bfO3tytdesraY05Ak1Ua7jDQkSTVgaUiSqtbSpRERgyPiNxHxu4j4du489RIRYyJifkQ8mztLvUXE1hExOSJmRsSMiBiRO1O9RMT6EfF4RDxVee3fyZ2pniKiW0T8OiLuyJ2lniJidkQ8ExHTI6Kz9OO16pxGRHQDfgsMorhb4BPAcSml57IGq4OI2BN4C7g2pbRT7jz1FBFbAFuklJ6MiA2BacBhbfLvHkDPlNJbEdEdeBgYkVJ6NHO0uoiIbwADgI1SSgfnzlMvETEbGJBSqsuixlYeaQwEfpdSmpVSWgLcAByaOVNdpJQeBF7LnSOHlNIrKaUnKx8vAmYCW+ZNVR+p8Fbl0+6Vt9b8rXA5EbEVcBBwVe4sra6VS2NL4I9dPp9Dm/zwUCEiOoD+wGN5k9RP5RTNdGA+MDGl1C6v/VJgJLAsd5AMEnBvREyLiGFlH6yVSyNW8Fhb/NYliIhewHjg9JTSm7nz1EtKaWlKqR+wFTAwIlr+9GREHAzMTylNy50lk91TSjsDXwC+Vjk9XZpWLo05wNZdPt8KmJspi+qocj5/PHB9SumXufPkkFJ6HbgfGJw5Sj3sDhxSObd/A7BPRFyXN1L9pJTmVt7PB26hODVfmlYujSeA7SNi24joARwL3J45k0pWmQy+GpiZUrokd556ioi+EbFx5eMPAfsBz+dNVb6U0lkppa1SSh0U/5//KqV0QuZYdRERPSsXfBARPYH9gVKvmmzZ0kgpvQcMB+6hmAy9KaU0I2+q+oiIccBUYMeImBMRJ+fOVEe7A0MoftucXnk7MHeoOtkCmBwRT1P80jQxpdRWl5+2oc2BhyPiKeBx4M6U0t1lHrBlL7mVJNVey440JEm1Z2lIkqpmaUiSqmZpSJKqZmlIkqpmaUiSqmZpSJKqZmlINRIRn4mIpyv3tehZuadFy+/9pPbi4j6phiLie8D6wIeAOSmlH2SOJNWUpSHVUGWfsyeAd4DPppSWZo4k1ZSnp6Ta6g30AjakGHFILcWRhlRDEXE7xfbc21LcdnZ45khSTX0gdwCpVUTEicB7KaX/W7lH/ZSI2Cel9Kvc2aRacaQhSaqacxqSpKpZGpKkqlkakqSqWRqSpKpZGpKkqlkakqSqWRqSpKr9f+nweaqyssEDAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", "text/plain": [ - "" + "
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\n", + "image/png": 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\n", 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\n", 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -420,13 +461,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Figure size, aspect ratio and DPI" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "### Figure size, aspect ratio and DPI\n", + "\n", "Matplotlib allows the aspect ratio, DPI and figure size to be specified when the `Figure` object is created, using the `figsize` and `dpi` keyword arguments. `figsize` is a tuple of the width and height of the figure in inches, and `dpi` is the dots-per-inch (pixel per inch). To create an 800x400 pixel, 100 dots-per-inch figure, we can do: " ] }, @@ -438,7 +476,7 @@ { "data": { "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -463,12 +501,14 @@ "outputs": [ { "data": { - "image/png": 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P7RmnnppvENx1V0fSSV+AIVqSpGqREowenYPzbbfB1Kn5hsCvfz0H5699DTp3LrpKqSqsMERHxFnALSmlGWWoR5IktdabbzZP1njzzRyUDzkkB+dDD80j6iS1qZVZid4AeDEiXgKGAQ+mlFJpy5IkScs1ZQr84Q85OI8alVsz9t0Xzj8fvvEN6NWr6AqlqrbCEJ1S+veI+F/AIOA7wNURcTtwY0rp7VIXKEmSGs2YAXfemYPzY4/l9o0vfxkuvxy+9S3o27foCqWasVI90SmlFBEfAB8AC4FewB0R8XBK6YJSFihJUk2bMwdGjMjB+b77YP582HRTuPjiPFljiy2KrlCqSSvTE/0D4GRgOvA74PyU0oKI6AC8BRiiJUlqSwsXwiOP5OB8110waxZssAH88z/nPuf6eidrSAVbmZXodYGjUkrvLn4ypdQQEYeWpixJkmpMSvDcczk433573k2wZ084+ugcnPfdN2/FLaldWJme6IuXc21825YjSVKNGTcObrklT9eYOBG6doXDDsvB+eCDYbXViq5QUgucEy1JUrlNmpTnOA8fDmPGQIcOsP/+8OMfw5FH5hVoSe2aIVqSpHL48MPc3zx8ODz5ZD63yy7wm9/AMcfA+usXW5+kVjFES5JUCinlVeYRI+Cee+CFF/L5LbeEn/88T9YYOLDYGiWtMkO0JEltZc4cePTRHJpHjIDJk/P5nXeGn/0MDj8cvvQlJ2tIVcAQLUnSFzF5cg7MI0bksXRz5kC3bjBoUN5y+5BD8ng6SVXFEC1JUms0NORttpuC88sv5/N1dXDqqTk477NPnrIhqWqVLERHxDDgUGBaSmnbxnNrA38A6oB3gGNSSjNKVYMkSW1i1iz4y19yaL733nyTYIcOsPvucOmlOThvvbVtGlINKeVK9E3A1cDvFzv3I+CRlNKlEfGjxucXlrAGSZJWzcSJzavNjz+et9vu2RMOOiiH5oMPhnXWKbpKSQUpWYhOKY2MiLqlTh8B7Nv4+L+AxzFES5Lag4UL846BTcF57Nh8fvPN4fvfz8F5jz2gc+di65TULpS7J3r9lNJUgJTS1IhYb1kvjIghwBCA/v37l6k8SVJN+fRTePDBHJrvuw8++QQ6dYK994ZTToHBg3OIlqSltNsbC1NKQ4GhAPX19angciRJ1eLNN5tH0D35JCxalNsyBg/Oq80HHuiOgZJWqNwh+sOI6NO4Ct0HmFbm95ck1ZoFC3JYbmrTeOutfH7bbeGCC3Jw3mUX6Nix2DolVZRyh+i7gZOBSxu//rnM7y9JqgXTp8P99+fQ/MADMHMmdOkCX/0qnH12XnWuqyu6SkkVrJQj7m4l30S4bkS8D/yYHJ5vj4hTgEnA0aV6f0lSDUkp3wjY1Kbx7LP53AYbwNFH59Xm/feH7t2LrlRSlSjldI7jlnHpa6V6T0lSDZk7N4+ea2rTePfdfH6nneDii3Nw3mmnPM9ZktpYu72xUJKkz5k6NU/RGDECHn4Y/vEPWH11OOAAuOiivMV2375FVympBhiiJUntV0p5W+0RI3KrxqhR+fxGG8FJJ+XV5v32y0FaksrIEC1Jal8++wweeSSH5nvvhSlT8nbau+wCl1wChx0G223nFtuSCmWIliQVb9KkHJhHjIBHH839zj165JnNTVtsr7fM/bkkqewM0ZKk8lu0CF58sfmmwDFj8vkBA+D003Nw3nvvPJZOktohQ7QkqTxmzsw3A95zT7458KOP8gYne+wBv/xlbtPYYgvbNCRVBEO0JKk0UoIJE5pXm594Iu8e2KtXbs9o2mJ77bWLrlSSWs0QLUlqGynBm2/msDxyZD7eey9f22orOOecHJx33x06+edHUmXz/8UkSaumoQFefz2H5abgPG1avrb++rmn+cIL4aCDYODAYmuVpDZmiJYkrZyFC/PM5qbQ/NRTMGNGvrbRRjBoUA7O++wDm21mb7OkqmaIliS1bN68vLlJ0yrz00/D7Nn52mabwVFH5dC8995QV1doqZJUboZoSVL22Wfw3HPNK83PPZfnNQNss03eIXDvvWGvvWDDDYutVZIKZoiWpFo1c2ZeXW66CfDFF/P0jA4dYIcd4IwzmkPzuusWXa0ktSuGaEmqFR9/nPuYm9ozXn453xzYqRPU18O55+bQvMce0LNn0dVKUrtmiJakavXBB82rzE88kSdpAHTtCrvuChddlG8C3HVX6Nat2FolqcIYoiWpWkyatOSM5jffzOe7dcury8cem1ead945B2lJ0iozREtSJUoJ/va3JWc0v/tuvtazZ+5jPu20HJp33BE6dy62XkmqMoZoSaoEDQ0wblzzKvPIkTB1ar7Wu3cOy+eem9sztt0WOnYstl5JqnKGaElqjxYtgjFjmlean3wy3xgI0Lcv7Ldf84zmLbd0YxNJKjNDtCS1B/Pnw+jRzavMTz2VR9ABDBgAhx2WV5n33hs22cTQLEkFKyRER8Q7wCxgEbAwpVRfRB2SVJg5c+D555tD87PP5s1OIK8sH3dc80pzv37F1ipJ+pwiV6L3SylNL/D9Jal8Zs+GZ55pbs944YW8+hwBX/oSnHJKXmneay9Yb72iq5UkrYDtHJJUCjNm5JaMppXm0aNzn3PHjvDlL8MPfpBXmffcE3r1KrpaSVIrFRWiE/BQRCTg+pTS0ILqkKQvbu7cvJHJyy/n45ln4NVX8xi6Ll3yXOYf/SiH5t12gx49iq5YkvQFFRWi90gpTYmI9YCHI+KvKaWRi78gIoYAQwD69+9fRI2S9HmffAKvvJLD8iuv5GP8+LzKDDkgf+Ur8JOf5PaMnXeG1VcvtGRJUtsrJESnlKY0fp0WEXcBOwMjl3rNUGAoQH19fSp7kZJqW0p5B8CmsNz0ddKk5tdsuGHeyOSII/LXHXbIkzM6dCiubklSWZQ9REdEN6BDSmlW4+NBwM/KXYck/X8LFsBf//r5FeYZM/L1CNhiC9h9dzjzzByWd9jBGwAlqYYVsRK9PnBX5BmnnYDhKaUHCqhDUi2aPTv3KzcF5pdfzv3M8+bl66utBtttB0cfnYPyjjvm5926FVu3JKldKXuITilNALYv9/tKqkEffrjk6vLLL8Nbb+VWDYC1184h+ayzmtsxttgCOjm4SJK0fP6lkFT5GhpgwoTP9y9Pndr8mrq6HJJPOKF5hblfP3f+kyStEkO0pMoybx6MHbtkWB4zBmbNytc7doStt4YDDmgOy9tv7yxmSVKbMkRLar8+/TQH5MVXmMeNg4UL8/Xu3XNAPumk5naMbbbJfc2SJJWQIVpS8VKCyZM/344xcWLzazbYIIfkwYObV5gHDnScnCSpEIZoSeW1aBG88cbnx8lNn56vR8Bmm+UNS047rXmFeYMNiq1bkqTFGKIllc5nn8Frry25wvzaazBnTr7epUseH9e0WUnTODm3xZYktXOGaEltY/r0z7djvPFGnpwBsNZaeUX5jDOa2zG23BI6dy62bkmSVoEhWtLK+/vf4e238zFhQvPXv/419zQ36d8/B+Vjjmne3W/jjR0nJ0mqGoZoSc0aGnIYXjokNwXnTz5Z8vW9e+eb+/bbrzks77ADrLNOMfVLklQmhmip1syZk6deLL2i/Pbb+fz8+c2v7dgxryAPHJhXlQcMyI8HDoRNNoE11yzu95AkqUCGaKnapJT7k1sKyRMmwJQpS76+R48cirfdFg4/vDkkDxiQ2zLcAluSpM/xr6NUiRYsgEmTWg7JEyY0797XpG/fHIwHDWoOyE1heZ117FWWJKmVDNFSezVz5rJ7kydNyvOWm3TtmoPxgAGwzz5LhuS6Olh99cJ+DUmSqpEhWipKQ0NurWgpJE+Y0Lz5SJN11smheNdd4fjjl2y72HBDd+6TJKmMDNFSKc2d23wT39IheeLEfL1Jx465B3ngQDjqqCVD8oAB0LNncb+HJElagiFa+iJSgo8/bjkkv/32krOTAbp3z8F4yy1h8OAl2y7693fjEUmSKoQhWmrJvHnw0Uf5mD69+XHT82nT8kryhAm5d3lxffrkULz//kuG5AED8lxlb+KTJKniGaJV/VLK0yqWDsPLCsgfffT56RZNOnTIvcm9e+cb9vbcc8lpF5tsAmusUdZfT5IklZ8hWpWnoSHvnLcyYbjpWHwDkcV17ZoDcdOx6aZLPu/dG9Zdt/lxr17ewCdJkgzRagfmz192+G3p3Cef5CDdkjXXbA68/frBjju2HIabjm7dbK+QJEmtZohW20oJZs9uXevE0j3FTZpaJ5rC79ZbLzsQr7tuPrp2Le/vK0mSalIhIToiDgKuAjoCv0spXVpEHVpKSrBwYb6prqVj5syVC8fz5rX887t0WTL4Dhy47EDc1DrRsWN5/xlIkiSthLKH6IjoCFwDHAC8D7wYEXenlMaVu5ZCrSiwzpuX2xyWd/2Lvr6l70lp5X+HHj2ag2/fvrD99svvJ+7e3dYJSZJUFYpYid4Z+FtKaQJARNwGHAG0rxA9YQI8+WT7Cawr0rXr548uXZZ83qNHc8vD8o6lv2/x7188HNs6IUmSalQRIbov8N5iz98Hdln6RRExBBgC0L9///JUtrinn4Z/+qeWry0rZK4osK7M97Um1DYdnTu7witJklRGRYToltLe55ZkU0pDgaEA9fX1bbhku5KOOCLvOGdglSRJ0lKKCNHvAxst9rwfMKWAOpZvzTXzIUmSJC2liF0jXgQ2i4hNIqILcCxwdwF1SJIkSauk7CvRKaWFEXEW8CB5xN2wlNLYctchSZIkrapC5kSnlO4D7ivivSVJkqQvqoh2DkmSJKmiGaIlSZKkVorUlht+lEhEfAS8W8BbrwtML+B9VV5+zrXBz7k2+DlXPz/j2lDk57xxSqn3il5UESG6KBExKqVUX3QdKi0/59rg51wb/Jyrn59xbaiEz9l2DkmSJKmVDNGSJElSKxmil29o0QWoLPyca4Ofc23wc65+fsa1od1/zvZES5IkSa3kSrQkSZLUSoboZYiIgyLijYj4W0T8qOh61PYiYlhETIuI14uuRaURERtFxGMRMT4ixkbE2UXXpLYXEatFxAsRMabxc/5p0TWpdCKiY0S8HBEjiq5FpRER70TEaxHxSkSMKrqeZbGdowUR0RF4EzgAeB94ETgupTSu0MLUpiJib2A28PuU0rZF16O2FxF9gD4ppZciogcwGjjS/y1Xl4gIoFtKaXZEdAaeAs5OKT1XcGkqgYg4F6gH1kwpHVp0PWp7EfEOUJ9SatfzwF2JbtnOwN9SShNSSvOB24AjCq5JbSylNBL4pOg6VDoppakppZcaH88CxgN9i61KbS1lsxufdm48XCGqQhHRDxgM/K7oWiRDdMv6Au8t9vx9/MMrVbSIqAN2BJ4vthKVQuN/4n8FmAY8nFLyc65OvwYuABqKLkQllYCHImJ0RAwpuphlMUS3LFo456qGVKEiojvwJ+CclNLMoutR20spLUop7QD0A3aOCFu0qkxEHApMSymNLroWldweKaWdgIOBMxvbL9sdQ3TL3gc2Wux5P2BKQbVI+gIae2T/BNySUrqz6HpUWimlT4HHgYMKLkVtbw/g8MZ+2duAr0bEfxdbkkohpTSl8es04C5ym227Y4hu2YvAZhGxSUR0AY4F7i64Jkmt1HjD2Y3A+JTSFUXXo9KIiN4RsVbj49WB/YG/FluV2lpK6V9TSv1SSnXkv8uPppS+XXBZamMR0a3xRnAiohswCGiXU7QM0S1IKS0EzgIeJN+IdHtKaWyxVamtRcStwLPAFhHxfkScUnRNanN7ACeSV6xeaTwOKbootbk+wGMR8Sp5EeThlJLjz6TKtD7wVESMAV4A7k0pPVBwTS1yxJ0kSZLUSq5ES5IkSa1kiJYkSZJayRAtSZIktZIhWpIkSWolQ7QkSZLUSoZoSZIkqZUM0ZIkSVIrGaIlqYpExFci4tWIWK1x56+xEbFt0XVJUrVxsxVJqjIRcQmwGrA68H5K6RcFlyRJVccQLUlVJiK6kLe/ngvsnlJaVHBJklR1bOeQpOqzNtAd6EFekZYktTFXoiWpykTE3cBtwCZAn5TSWQWXJElVp1PRBUiS2k5EnAQsTCkNj4iOwDMR8dWU0qNF1yZJ1cSVaEmSJKmV7ImTkFxWAAAAPklEQVSWJEmSWskQLUmSJLWSIVqSJElqJUO0JEmS1EqGaEmSJKmVDNGSJElSKxmiJUmSpFYyREuSJEmt9P8AIsNAl3dTaFsAAAAASUVORK5CYII=\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -485,13 +525,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Saving figures" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "### Saving figures\n", + "\n", "To save a figure to a file we can use the `savefig` method in the `Figure` class:" ] }, @@ -538,13 +575,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Legends, labels and titles" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "### Legends, labels and titles\n", + "\n", "Now that we have covered the basics of how to create a figure canvas and add axes instances to the canvas, let's look at how decorate a figure with titles, axis labels, and legends." ] }, @@ -640,7 +674,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 22, @@ -671,12 +705,14 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -695,13 +731,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Formatting text: LaTeX, fontsize, font family" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "### Formatting text: LaTeX, fontsize, font family\n", + "\n", "The figure above is functional, but it does not (yet) satisfy the criteria for a figure used in a publication. First and foremost, we need to have LaTeX formatted text, and second, we need to be able to adjust the font size to appear right in a publication.\n", "\n", "Matplotlib has great support for LaTeX. All we need to do is to use dollar signs encapsulate LaTeX in any text (legend, title, label, etc.). For example, `\"$y=x^3$\"`.\n", @@ -716,12 +749,14 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", 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\n", 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7lkhszfktlH8IF/4RMrJ3v30KCHsqTGS30tLSOO6440hPTw87ikhsba6El38KA8bAgaeFnSZmVCySlKqrq6moqGh5vHr1ak488cQQE4nEwcs/hy2b4JSfpfThxW2pWIRXXnmF888/n6KiIj76aNsBdcOGDePOO++M6WfV1dVx44038vOf/5zbbruNK6+8ksbGRgYNGsQVV1zRst2zzz7LYYcdxuTJk5k6dSo333xzyw59kQ5h3UJ4+0E48kooOSTsNDGVjJd0SX4z/wfWfBB2iu3td1hwUtVeGDNmDEceeSQDBw5k2rRp3HrrrQBcffXVzJ8/P2YR16xZw5gxY7j++utbzksZN24c11xzDStXrmTy5Mkt25533nmcd955MftskaTiHuywz86HE24OO03MacQiAOTn53PBBRcwffr0lnWnnnoqJ5xwwnbbLVu2jIyMjHb93HLL9kd+T5w4kR49emx3suPQoUOZOnUq1113nc5Vkc5j0bPw8Ysw5n8gr0fYaWJOI5a9sZcjg2R32mmnce+997J27VpKSkp48cUXufTSS7fbprS0lLlz23dhg169th2P/8EHHzBz5kz+8pe/bLdNVVUVeXl53Hxzx/tXm8hONTUEo5UeQ+Doa8JOExcqFmkxevRo0tPTefPNNxk3bhzuvsN+jczMTA49dM9vd/PSSy8BbDcCqq2tZcaMGUyaNImSEl2QWjqJ2VOg8mO4+DFIzww7TVxoKkxa5OfnM2LECN59910efvhhLrrooh222dupsJqaGtLT0ykuLm5Zd8cdd1BeXs6BBx5IRUUF9fX1O3yeSIdSWwGv3A6DvwxDvhx2mrjRiEW2c+yxxzJz5ky+8Y1vUFBQsMPzpaWlzJs3r13v1bpERowYQSQSaZlmmzNnDtOmTeOMM85g1qxZlJeX8+1vfztm30MkKb34E2ishZN/GnaSuFKxyHZGjBjBnDlzuPjii3f6fGZmJgcddNAev+8pp5zCpEmTuPHGGxkzZgzz5s3jjTfeYNasWUycOJFHH310X6OLJLc1H8C7U+Ho66DnAWGniSsVi2ynpqaGBx54gLS02M6Smhl33333DuvHjx+/3YmQIh2Se3C74S5FcPz3wk4Td9rHIi2WLVtGSUkJhxzSsU7WEgndgifh09fghJsgp1vYaeJOxdLJrVmzhqlTp7J06VJmzJjBhAkTwo4k0rFsWgVP3wD7HR6cZd8JqFg6uXnz5nHDDTdw//33c91114UdR6RjiTTB366Bpno473eQ3jn2PnSObym7NG7cOCorK8OOIdIxvXo7LPsXnH0/FA8OO03CaMQiIhIPS18NzlkZdhEMuzDsNAmlYhERibWacnj8GugxGE67I+w0CaepMBGRWGpuhr9fD3Ub4JLHgysYdzIqFhGRWHrzHljyPJz+S9hvz6+r1xFoKkxEJFZWvA0v3AIHj4eRV4WdJjQqls/h7mFHkD2gPy8JVd1GeHwiFJTC+Hs61K2G95SKZRfS09NpbGwMO4bsgaamJjIyNLsrIXCHp/4LqlbDeb+FnKKwE4VKxbILBQUFVFVVhR1D9kB1dTVdunQJO4Z0RnMegoVPwYk/gH5HhZ0mdCqWXejevTsbNmygoqKChoYGTbMkMXdn8+bNVFRU0LNnz7DjSGez5gN45iYYNBaO+0bYaZKC5g12ITs7m7KyMiorK/n000+JRCJhR5LPkZ2dTUlJiUYsklgNtfDXK4MLS559P8T4quCpSsXyObKzs+nduze9e/cOO4qIJKMZ/w3rl8BlT0K+Rstbdbh6NbMDw84gIp3Av/8Mc/8AX/pvGDgm7DRJJWmLxcyeNTPfyU+jmXWNbnOAmUVaPw+cE3J0EenoKpYEl8IvOw7GdPwbd+2ppJwKM7PBQDowAahr9dRpwGB33xR9/B1gElATfdwMPJGonCLSCTVugceugIxsOPfBTnMp/D2RrP+LHASc6e61rVea2XXAY9HfS4Ee7n5vCPlEpLN67gfBkWBf/TN07RN2mqSUlFNh7v70TkqlKzAW+Ht01beAc8xshZk9ZGYjEp1TRDqZhdNh9hQ45utw4Clhp0laSVksuzAemO3u66KP/w3cDqwGJgKzzezqsMKJSAe3cTk8+XXoPRzGTQ47TVJL1qmwnTmf6DQYgLs/svV3MzseeAS438zecPcFbV9sZtcC1wKUlZXFPayIdCCRRnjsquCS+Of/DjKywk6U1FJixGJmhcCX2cWOeXd/GTgJiAAX7GKbKe4+0t1H6uxsEdkjL90GK2fDV+6G7gPDTpP0UqJYgDOB99x91a42cPeFwGvAfglLJSId35IX4PW74IjL4LDzwk6TElKlWM4HHm/HdpXA2jhnEZHOonotPHEd9DwYTvlF2GlSRtIXS3Qa7CR2UyxmlgEcATyZiFwi0sE1N8PfroH6mmC/SlZu2IlSRtIXC8HRYPPc/dOtK8zseDN7wsxOb7XdZOCP7v5OgvOJSEf0+v/C0lfg1F9Ar4PDTpNSUuGosJ1Ng20E+gN/M7MZwGLgZXefkeBsItIRLZ8FL/0UDj032LcieyTpi8Xdz9zJurmATogUkdjbXBkcWlxUBmfc3alvMby3kr5YREQSxj04CbJmLVz1T+hSGHailKRiERHZ6q374aMZcPLPoM8RYadJWamw815EJP5Wzw0uMHnAqXDM18JOk9JULCIi9dXw2JWQWwxn/Vr7VfaRpsJEpHNzD27ateFTuOIfkNs97EQpTyMWEenc3psGH/wVjr8R9j8u7DQdgopFRDqvdR/CjP+GAV+C0d8OO02HoWIRkc6psS7Yr5KVB+c8AGnpYSfqMLSPRUQ6p2duhHUL4OLHoUAXRY8ljVhEpPOZ/wS88zv4wiQYMi7sNB3ObkcsZvYtYDDwEvCUu9fHPZWISLxULoWnvgF9j4ITfxB2mg6pPSOWy4D5wLvAZWZ2jZnlxTeWiEgcNDXAYxOD81TOfQjSM8NO1CHtdsTi7sNbPfw4WipXmNlGd/9D/KKJiMTYCz+G1e/ChEeg2/5hp+mw9mgfi5n1BMYCPYFJZva6melGBSKS/BY9C2/eC0ddDUPHh52mQ2vPPpYhwCXAV4BhQDPwHvBmdDnWzA5x98fiGVREZK9VrYYnroeSw+Ck28JO0+G153Dj2UAD8GfgJuA1d69tvYGZlZnZde5+fxwyiojsveYIPH4NNNUHtxjO7BJ2og6vPcXyHHBl2zJpzd2Xm9mzZvZTd78pdvFERPbRK7fDstfhrPugeEjYaTqF9uxjuffzSqWVLwHX7mMeEZHYWfRPePV2OPxCGP7VsNN0GrstFnd/tZ3v9Sxwwb7FERGJkSUvwJ8vgf0Og9N/GXaaTiVml3Rx97XA2li9n4jIXvvkFfjTRVB8AFz6d8jODztRp6JLuohIx/Lp6/DHC6D7ILjsSd1fJQQqFhHpOJa9CX+YEJz8eNmTkNcj7ESdkopFRDqGFbPhD+dBYSlc9hTk9ww7UaelYhGR1LfyHZh2LuSXwOXToaAk7ESdmopFRFLb6vdg2tnBvpTLp0Nh77ATdXopVyxmdmDYGUQkSXz2Pvz+LOjSFS5/Grr2CTuRkOTFYmYHmFnEzHzrD3BOq+cnmNkUM/uumf3VzE4OMa6IJNLa+fD7MyErPyiVon5hJ5KoZL818XeASUBN9HEz8ASAmV0FTAYOcvdaM+sLzDez09399TDCikiCrPsQpo6HjC5wxXRdAj/JJG2xmFkp0MPd793JcwXAncBvtl5uxt1XmtlM4B5gRELDikjilC+CqV+BtIxgn0r3gWEnkjaSeSrsW8A5ZrbCzB4ys9ZlcQpQBMxq85pZwHAzOzRRIUUkgdZ/HJQKBKVSPDjcPLJTyVws/wZuB1YDE4HZZnZ19Lmtd7Vc3uY1y6LLo+IfT0QSqvITePgMaG6Cy5+CngeEnUh2IWmnwtz9ka2/m9nxwCPA/Wb2BlAcfaq6zcu27ovRQewiHcmGZcE+laYtwUill25cm8ySecTSwt1fBk4CIgRXUK7f+lSbTZujy4a272Fm15rZHDObU15eHq+oIhJrG1fA1DOgvjq4TMt+mulOdilRLADuvhB4DdiPbVdRbnvJ0q2PV+3k9VPcfaS7j+zZU5d6EEkJm1YFpVK3CS77O/Q+POxE0g4pUyxRlQSl8k70cdsD18uiy7kJSyQi8VH1WbCjfnMlXPoElOpgz1SRMsViZhnAEcCTwPPAemBUm82OAd52948SHE9EYql6bVAqNWvhkseh75FhJ5I9kJTFYmbHm9kTZnZ6q9WTgT+6+zvu3gTcClxmZjnR1/QGxgO3JDywiMROTTn8fjxUrYaLH4N+R4edSPZQsh4VthHoD/zNzGYAi4GX3X3G1g3c/VdmVg9MMbMPgJHAZe7+dBiBRSQGatcHl2nZsAwueQz2PzbsRLIXkrJY3H0u7Th73t3vA+6LfyIRibvNlfDImVD5MVz0Z+j/xbATyV5KyqkwEelk6jbAI2cFl2u58I8w8PiwE8k+SMoRi4h0Ils2wSPnwLqFcMEfYPDYsBPJPtKIRUTCU18N086DNR/AhN/DASeFnUhiQCMWEQlHfQ384XxY9Q5MmAoHnhp2IokRjVhEJPEaauGPF8CK2XDeQ3DwV8JOJDGkEYuIJFbDZnj0Qlj+BpzzABxydtiJJMY0YhGRxGncAn+6CJa+BmfdB4edF3YiiQMVi4gkRlM9/PkS+ORlOPP/YNgFYSeSONFUmIjEX1MD/OVyWPIcfOX/wYiLw04kcaQRi4jEV6QRHrsSFs2E038JR14ediKJMxWLiMRPpAkevwo+fBpOvR2Ounr3r5GUp2IRkfiINMET18KCJ+Hkn8Ko68JOJAmiYhGR2Is0wpP/AfMehy/fAsd+PexEkkDaeS8isbXhU3jsKlg1B078AXxhUtiJJMFULCISO/Meh+nfBAzOf1gnP3ZSKhYR2XcNtTDze/DeI9D3aDj3Qei2f9ipJCQqFhHZN2s+gMcmQsViGP1tOP5GSM8MO5WESMUiInvHHWY/AP/8PuR0g8uehIFjwk4lSUDFIiJ7bnMlPPl1+GgGDDkJzvoN5BWHnUqShIpFRPbMp6/D49dAbTmc/DM45mtgFnYqSSIqFhFpn0gTvHoHvHo7dBsAVz8PpcPDTiVJSMUiIru3aWUwSln+Bgy7CE67HbILwk4lSUrFIiKfb+F0ePI/obkpuDHX4RPCTiRJTsUiIjvXWAfP3gxzHoLSEXDuQ9BjUNipJAWoWERkR+s+DM5NWTcfjvsvOPGHkJEVdipJESoWEdnGHd6dCjP/B7Ly4OLHYci4sFNJiulwxWJmB7n7h2HnEEk5dRth+iRY8HcYeDycPQUKSsJOJSkoaS+bb2aZZvZ9M1tsZjVmNsfMzmizTTczqzYz3/oD3BBSZJHUtWI23Dc6uCHXuMlwyRMqFdlryTxiuR1oBr4H9Ae+CzxpZie4+6vRbb4O3AEsjz524JkE5xRJXc0ReP0ueOmn0LUvTHwW+o4MO5WkuKQsFjMrBerc/aZW614DZgMTgVfNLAc4wd3HhhRTJLVVfRbc4XHpq3DouXDGXdCla9ippANIymIBSghGLC3c/W0zqwS6RVddBZxoZuuAF4D73P2VxMYUSVGLnoW/fy04pHj8vTDiEl2WRWImKfexuPt77r5xJ091Af4V/X05cBswD7gAeNnMJicmoUiKaqqHZ26EP06AglK49hU44lKVSidQ1xDhX0sqeGHh2rh/VrKOWHZgZscAtcCDAO7+FPBU9LlhwDTgR2b2prs/u5PXXwtcC1BWVpao2CLJo2IJPD4RPvs3HH1dcC/6zC5hp5I4qalvYs6nlby1tJK3PlnPB6s20RhxDtqvgLEHx/fADHP3uH5ArJjZU8BD7v7kLp7vBSwEnnb3yz/vvUaOHOlz5syJQ0qRJDX3UfjHt4OTHM/8NRx0WtiJJMY21TXy9tJKZn8aFMm81VVEmp2MNOPwvl0ZNbAHowZ0Z2T/7uRn792YwszecffdHt2REiMWM/s68MKuSgXA3deZ2d+BvolLJpLk6quDQnn/z7D/F+GcKdC1T9ipJAYqaxuYvXR9dERSycI1VbhDVkYaw/sV8fXjBzFqYA9GlBWRm5XY/9QnfbG9WD7kAAATmUlEQVSY2VlAobv/rB2bVwK6J6oIwKp3g8uybFwGJ9wc3DY4LT3sVLKX1lVvYXa0RN5aup5Fa2sA6JKZxpH7d+ObYw9g1MDuDO9XRJfMcP+ck7pYzOwk4HB3v6XN+sPd/f2dvGQUcHdCwokkq+ZmmPV/8PyPIb8ErpgB+x8bdirZQ59tqmspkbc+qeSTiloA8rLSObJ/d84c3odjBnbnsD5FZGUk13FYSVssZjYa+CFwt5mdt3U1cBywxMxuAf7m7r+Pbn818Km7/y2UwCLJYPV78Pxk+ORlOOgMGH8P5HYPO5XshruzckMdsz6JTm0tXc+KyjoACrpkcHT/7lx4dD9GDejBIaWFZKQnV5G0lZTFYmbDgX8ABcAX2jy9DPgScCFwv5ldAcwB5gKfu9NepMNaMRteuR2WPBec5Hj6/8LIiTqMOEm5O0sranlraWV0ems9qzdtAaBbbiZHD+jOFccNYNSA7hzcu5D0tNT6c0zKYnH3uUDhbjYbnYgsIknt09eDQln6CuT2gLE/hKOugS67+7+PJFJzs7OkvKbl0N+3llZSXl0PQHF+NqMGdOf6gd0ZNaAHQ3rlk5ZiRdJWUhaLiHwO92Cq69U7YNm/IK8XnPSTYISSlRd2OgE21DYwd8VG3luxkbkrNjJ3+QaqtjQBsF9hF44b1INRA3owamB3BhbnYR1sZKliEUkV7rD4OXj1dlj5dnDm/Km3wxGXQWZO2Ok6rYamZhZ+VhUUyIqNvLd8A5+u3wxAmsEBJQWcfnhvRpR1Y9SA7pR1z+1wRdKWikUk2bnDRzOCKa/P5kLXsmAfyohLICM77HSdiruzamMd7y3fViLzVlfR0NQMQK+CbIb3K+KCo8oY3q+Iw/t2JW8vT0ZMZZ3vG4ukiuZmWPgkvHonrJ0H3foHF4wcdiGk63StRKipb+L96JTW1jKpqAn2jWRnpHFYn65cfuz+DO/XjRFlRfTu2qXDj0baQ8UikmyaIzDvb8E+lIqPoMcQOPt+OPQ8SNf/ZeMl0uwsXlfN3JbRyEYWratm61WvBhbn8aUDihnRr4gRZd04cL8CMpP8sN+w6G+pSLKINML7f4HXfgmVH0OvoXDeb2HoWTpjPg7WVW/ZrkTeX7mR2oYIAF1zMhlRVsSph+3HiLJuDOvblaLcrJATpw4Vi0jYmhpg7h/g9f+Fjcthv8NhwiPBCY5p+hdxLGxpjDB/9SbeWx49Umv5RlZtDE5AzEgzhpYWcu6RfRkeHY3079Hxd7DHk4pFJCyNW+C9R4JbA1etgj5Hwql3wAEn68TGfVBb38SHa6pZ8FkVC1ZXMX/1JhZ+VkVjJJjT6lOUw/CyIq78Qn9GlBVxSGnX0K+t1dGoWEQSrWEzvPM7+Nf/g5o1UHZscOmVQSeqUPbQuqotzI8WyILPqli4uoql62tb9ot0zclkaO9Crh49kBH9ihheVkSvAt2DJt5ULCKJUl8Nbz8Ib9wLmyug/2g490Ho/0UVym5EmoNLoCxoVSILVle1HKEF0K97DkN7F3Lm8D4MLS1kaGkhpTpKKxQqFpF4q9sIs6fArF9D3QYYNBbGfBfKjgk7WVLa3BCdympVIB+uqWJLY3CuSGa6cUBJAScc2DMokN6FHNS7kK45OgQ7WahYROJlcyXM+g28dT/Ub4IDToEvfRf6Hhl2sqSxrnrLdgWy4LMqllZsm8oq7JLBIaVduXjU/gztHYxCBvXMT7rLxMv2VCwisVZTDm/eG0x7NdTAwV+BL/039B4WdrLQtGcqq2+3YCpr/LBShvYu5JA+XTWVlaJULCKxsmlVMN319kPQtAUOPQdGfwdKhoadLGHcnYqaBj4ur2HxuhoW7mIqa0ivAo4/sGfLKORgTWV1KCoWkb3V3Bxcu2vRs7DomeB3S4fDzg9uA9zzgLATxk2k2Vm5YTMfl9ewZF3w83F5LUvW1bCprrFlu8IuGQwtLeSio/dv2R8yuJemsjo6FYvInqivCS5Zv+gZWPxPqFkLGPQ7OrgXyiHnQPcBYaeMmS2NET4pr2VJeQ0fr6tpWX5SUdty4UWA4vwsBvbM5/TDezO4Zz6DeuUzuFe+prI6KRWLyO5s+BQW/TMok09fg0gDZBfC4LHBDvnBX4a8HmGn3CcbNze0GnlERyHlNazcUNeyI90M+nXLZXCvfEYPKWZwr3wG9QwKRJc7kdZULCJtRZqC+50seiaY5ipfGKzvMQSOvjYok7JjUu4Kw83NzmdVW3YokI/X1bC+tqFlu6yMNAYW5zGsbxHnjOjL4OjoY0Bxns5Ql3ZRsYhAcH7JkheCIlnyXPA4LQP2/0JwI60DToYeg8JO2S4NTc0sW1+7fYGU1/DxulrqGiMt23XNyWRwr3zGHVwSjD565TG4ZwF9uuWk3D3WJbmoWKRzcoeKRdFRyT9h+ZvgkeC+8QecGhTJoBOgS9ewk+6gudkpr6lnReVmllduZkVlHSs2bGZFZfCzpmoLzb5t+z5FOQzsmceFR3ffbvqqR16W9n9IXKhYpPNoaoBlr287imvDp8H6ksPgizcEU1x9jkiKS9RvqmtsKYqgNILyWF65mZUb6rbbcQ5QUphNv265HDOwB3275zKwOK9l+qoz3sFQwqW/cdKx1awLjt5a9Ax8/FJwwmJGFxgwBo77RjAy6do34bG2NEZYtbGuVXnUtRqBbKZqS9N22xd2yaCsRy4HlhQw7uAS+nXLoV/3XPp1z6VPUY72fUhSUbFIx+IOa97fNipZ9U6wvrAPHD4hGJX0Hw1ZuXGNEWl21lZt2VYWG+pYGR19LK/czNqq+u22z8pIaymLI8q60a97DmXdc+nbLSgPnTwoqUTFIqlvcyWseGvb/pLq1YBB35Fw4veDMik5NGZXEI40O+tr6llbVc/aqi2srd7C2qp6yqu3sDI68li1sa7l/h8QfHRp1xz6dsth9JCe9OuWS1mPHPpFi6NnfjZp2mEuHYSKRVJDU0OwT2T9YqhYHF0uCZab1wfbZBXA4BO3nVuS33OPPqK52anc3MDaqi2s21oaVfWsrd7Cuujv66q3UF5dv93OcQiKozg/m9KuXTikT1dOObQ3Zd1z6dc9KI/SohydbS6dhopFkoc71Ja3Ko7FsH5JsNzwaXDU1lZ5vaB4SHD73uIhwe18y46FjB1P1HN3NmxujBZFUBrroqOMYMRRz7qqoDCa2jYG0CMvi16FXSgpzGZo70JKCrPpVdiFXgXZlBR2oaSwC8X5WWSkqzhEQMUiYWisg8pPdhx5VCwJLi+/VUYX6D4I9jsUDjk7KJAeQ6B4MJ5dSF1jhI2bG9m4uZH1tfWs/fe6aHFsYV31thFHeXU9DZHmHWJ0y82kpLALPQuyGdKrmJLCoCh6FXRp+b04P1sjDZE9lPLFYmYTgHHAEuAo4EF3fzbcVIJ7cB/31qOO9dHfN64Ato0MvKCUhm6D2Dz4TDbl9qciux+fZfRjpRezcUsTG2sb2bi6gQ1LGtm0uZYNm99mY13jDofcblXYJaNlJDFqYF60LLaOLrLpVRCUiY6kEomPlC4WM7sKmAwc5O61ZtYXmG9mp7v76+Gm6yTqa1pGG5HyRTSu+wjWLyFz4yekN9Vt2ywtl4rsvqxOH8yygjEsjuzHh40lvL+lmA3lWVDe9o0rgUqyMtLolptJUU4WRbmZ9C/OZURuEV1zM+mWm0VRTiZFuVl0z8tqKY2cLBWGSJhStljMrAC4E/iNu9cCuPtKM5sJ3AOMCDNfsmtsbGRzzSbqazZQX7uRxtqNNNVV0bS5iua6jfiWaryhmrT6KtIaqklvrCGjsYbMplqyIzV0idTSpXkz2Ww7bNbcWOfFfOKlfOJj+MR787GX8klzbyrTu9M1LZtumZkU5QZl0Csnk/PzsuiaEy2J3MyWoiiKFkeXzDSdHS6SYlK2WIBTgCJgVpv1s4ALzOxQd5+X+Fjba252mpqdZg+WkYgTcaepuZlIswc/kWaaIhGaIxEizREikWaaIxGamqPrIs00N0eIRJpo9maam5qIRJpoqqsmUreJ5roqqK+C+mqsoZr0hupoCdSQ1VRLVnMtOZEacpo3k8Nm8n0zeVbP7i5WEnGjhhyqyaWWHKosly1peWxJ60l9Vh6N6XnUZxZRk78/W7oOpLloAAUFBRTlZHJAbhZH524rkbysdBWESCeRysUyPLpc3mb9sujyKCCmxbKxYi2bfj0W82YMx2je7vc0HPNWv0eXwU/wewbB9lvXpduORyHFQi051KXlUpeWR316Hg2ZRWzK6EtlZj5NWQV4Zj6eXQDZXUnLKSCtSyEZuV3JzO1KVl4R2XlFdMkrIDc7k96Z6boooYi0WyoXS3F0Wd1mfU10WdJ6pZldC1wLUFZWtlcfmJ6ZSUXuQLC0nf5Y69/TWj2O/m5bf09L324bS0uPLtNISwtek5aWHn0+WKalB7+npUW3S88gI6dwuyJIzymE7ALIKiAvLY28vfqWIiL7JpWLZevkftt/8m89VKih9Up3nwJMARg5cuReDRMKunbnyO88tTcvFRHpNFL5AP210WV+m/VbH69KYBYREYlK5WKJXl2Qfm3Wb53nmpvALCIiEpXKxfI8sB4Y1Wb9McDb7v5R4iOJiEjKFou7NwG3ApeZWQ6AmfUGxgO3hJlNRKQzS+Wd97j7r8ysHphiZh8AI4HL3P3pkKOJiHRaKV0sAO5+H3Bf2DlERCSQslNhIiKSnFQsIiISU+Yen0uKJDMzK2fbpV/2RjFQEaM4qaKzfefO9n1B37mz2JfvvL+77/bWrJ2yWPaVmc1x95Fh50ikzvadO9v3BX3nziIR31lTYSIiElMqFhERiSkVy96ZEnaAEHS279zZvi/oO3cWcf/O2sciIiIxpRGLiEgnZWYHxuN9VSx7wMwmmNkUM/uumf3VzE4OO1O8mVmJmf3CzL4ZdpZ4M7NMM/u+mS02sxozm2NmZ4SdK94s8B0z+9jMas3sdTM7IuxciWJmPzazh8POEW9mdoCZRczMt/4A58TlszQV1j5mdhUwGTjI3WvNrC8wHzjd3V8PNVycmNmpwEXAJcCP3X1yuIniy8zuIrhR3L+A/sB3gZ7ACe7+aojR4srMvgfUAn8GegAPAfsD/byD/wfCzI4GXgMedfcrQo4TV2Y2BXifbXfZbQaecPe2d+HdZyl/rbBEMLMC4E7gN+5eC+DuK81sJnAPMCLMfPHi7jPNbBFBsXRoZlYK1Ln7Ta3WvQbMBiYCHbJYolcGX+zuf4uuKjezXwBPEpRMhz150Mxygf8k+DPu0KJ/v3u4+72J+DxNhbXPKUARMKvN+lnAcDM7NPGREiYSdoAEKQFub73C3d8GKoFuoSRKAHeva1UqW3UDZrt7hy2VqFsIbr3RGf6Ofws4x8xWmNlDZhbXfwyrWNpneHS5vM36rZeFOSqBWSQO3P09d9+4k6e6EEyNdQpmVkIw73522FniKTrN+7G7Lw47S4L8m+AfTqsJRuCzzezqeH2YpsLapzi6bDsXuXWusiSBWSRBzOwYgn0PD4adJd7MrAi4gWBqqDtQa2aXRW+o16GYWQ9ggrtfGXaWRHH3R7b+bmbHA48A95vZG+6+INafpxFL+9RHl213ZDZHlw0JzCKJcxNwjbtXhh0kATYR/Iv2RGAa8FXg+lATxc/PgJvDDhEWd38ZOIlgCvCCeHyGiqV91kaX+W3Wb328KoFZJAHM7OvAC+7+ZNhZEsEDte7+b3e/FHiDoGQ6FDO7HHjR3VeHnSVM7r6Q4Gi4/eLx/iqW9nknuuzXZn1ZdDk3gVkkzszsLKDQ3X8VdpYQ/YuOORK/Angwep5SjZnVAKOBi6OPb/r8l3colWz7R3NMaR9L+zwPrAdGAf9otf4Y4G13/yiUVBJzZnYScLi739Jm/eHu/n5IscLQF3gu7BBxcAmQ02bdH4CVwPcI/mPb4ZlZBnAE8PN4vL9GLO0Q3YF5K3BZ9Lh/zKw3MJ7gkMWOLDu67PB/V8xsNPBDYIGZnRf9OT964mRpyPHiwsyKzOx/zey4VuuOJjjk+OHQgsWJu69y9yWtf4A6oDr6uMMVi5kdb2ZPmNnprVZPBv7o7u/s4mX7RCOWdnL3X5lZPTDFzD4ARgKXufvTIUeLGzMbC/xH9OH5ZrYQ+Ie7V4UYKy7MbDjBaLQA+EKbp5cB3054qMTIAo4H/tPMniOYd68AznT3znB+R2ewkeBKEn8zsxnAYuBld58Rrw/UJV1ERCSmOvz0hoiIJJaKRUREYkrFIiIiMaViERGRmFKxiIhITKlYREQkplQsIiISUyoWERGJKRWLiIjElIpFRERiSsUiIiIxpYtQiiSB6FWzf0hwJ8d0YDBwLfAh8Jq7XxFeOpE9o4tQioTMzPYDXgHuc/e7ouueJ7hHyFeBA9390/ASiuwZTYWJhO+3wPqtpRK1ALgcuF+lIqlGU2EiITKzw4BTgQltnioEaoHbEh5KZB9pxCISrhOiy5e2rjCzPOA04FfuHpd7kovEk4pFJFz5QMTdK1qt+2+gJ/CRmRWbWfbOXyqSnFQsIuF6D0g3sxIAMxsJXAI8DRwDXO7u9SHmE9ljOipMJERmZsBdBPtUXgEOBe4gKJXfAl919+fCSyiy51QsIiISU5oKExGRmFKxiIhITKlYREQkplQsIiISUyoWERGJKRWLiIjElIpFRERiSsUiIiIxpWIREZGYUrGIiEhM/X+TZopuOO0Y+AAAAABJRU5ErkJggg==\n", + "image/png": 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\n", 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\n", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -882,20 +923,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Setting colors, linewidths, linetypes" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Colors" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "### Setting colors, linewidths, linetypes\n", + "\n", + "#### Colors\n", + "\n", "With matplotlib, we can define the colors of lines and other graphical elements in a number of ways. First of all, we can use the MATLAB-like syntax where `'b'` means blue, `'g'` means green, etc. The MATLAB API for selecting line styles are also supported: where, for example, 'b.-' means a blue line with dots:" ] }, @@ -907,7 +940,7 @@ { "data": { "text/plain": [ - "[]" + "[]" ] }, "execution_count": 32, @@ -916,12 +949,14 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1039,27 +1078,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Control over axis appearance" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The appearance of the axes is an important aspect of a figure that we often need to modify to make a publication quality graphics. We need to be able to control where the ticks and labels are placed, modify the font size and possibly the labels used on the axes. In this section we will look at controling those properties in a matplotlib figure." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Plot range" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "### Control over axis appearance\n", + "\n", + "The appearance of the axes is an important aspect of a figure that we often need to modify to make a publication quality graphics. We need to be able to control where the ticks and labels are placed, modify the font size and possibly the labels used on the axes. In this section we will look at controling those properties in a matplotlib figure.\n", + "\n", + "#### Plot range\n", + "\n", "The first thing we might want to configure is the ranges of the axes. We can do this using the `set_ylim` and `set_xlim` methods in the axis object, or `axis('tight')` for automatrically getting \"tightly fitted\" axes ranges:" ] }, @@ -1070,12 +1096,14 @@ "outputs": [ { "data": { - "image/png": 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\n", 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Myv99hR73aJQ7dtaqf0TLsvF9qd8DjonWn42vW2zD10nmApeX8Pn/4PclWv6rKNNe/Hiugn3lsGj9sOh+q0KPyyWm7oE/KzA5+tsswp+92gj8JmabYt9Xot8sehMiKc/8/MsTgF7Od5URCcbM6uB3/rc45x4OnUdEJJ6iFvDl+APz8YHjxIUqzZKyzOyX+Faztfj+lf8HbHPODS72gSJlwMxOx7fMzMOPvv8LvrX3EOfHTYiIJK2oq+cafCtyG/z81s3wv3FZIbPFS4Xv0ywprQ1+ppIF+C4YX1Bo1hCRclQTf+GkdOAt/O/vEaowS0nMX412npntNn+luSOj5cea2XzzV1b7NGrZEwmlEb47zXz8+K2VwNBUqTCDWppFREQSlpkdj6+I/AzfB77g8sZZ+IvMXIG/Cttd+Cvj6UyaSBlRpVlERCRBmdlX+CunPllo+VX4QVgFs5jUws8e0dc5N7/8k4qkvoS8uEnjxo1d27ZtQ8cQSRhff/31Zudck9A5iqLyKvJ98Sqv5ueZ7w+8aWaL8VewG4e/8FN3Yq5g55zbbWZLouU/qDRHleyrAGrVqtWvS5fCs6pKytqyGPJyoGnX0EkSVmnLbEJWmtu2bcv06dNDxxBJGGa2ouStwlB5Ffm+OJbXZvgpzM7Fz0ecA7wB3ALUxk8DGCsDP23bDzjnHsNPp0r//v2dymwFsWMd3N8VjroFjr655O0rqNKWWQ0EFBERSUx7o38fds6tc85tBu4HTsbPi1230PZ1gZ3lmE8SXfpYwEHPc0MnSQmqNIuIiCQg59w2/FzeRQ0+Sgd6F9yJ+jR3iJaLeHNfg4N6QeNOoZOkBFWaRUREEtfTwHVm1jS6LPSN+CkLxwI9zOwcM6uOv/TxHA0ClO9sWghrvlYrcxyp0iwiIpK47gKmAQvxF8aZCdztnNsEnIO/HPQ2YBAwPFRISUCTHobK1aH3BaGTpIyEHAgoIiIi4JzLAa6JboXXfQRoGgz5oZ3rYfbLcOjFUDshJ15KSmppFhEREUklk0dCfi4c9qvQSVKKKs0iIiIiqSJzB0x/CrqdAQ3bh06TUlRpFglp6uPRlEAikvBWTYUv7oMszeomCezrpyFrBxx+Q+gkKUeVZpFQ8nLg07th/tuhk4hIacx4Fr58ANKqhE4iUrTcLN81o91R0KJv6DQpR5VmkVCWToC926D72aGTiEhJcrNh3ng45GSoUj10GpGiffMq7FynVuYyokqzSCjpY6FaXeh4bOgkIlKSpZ9BZgZ0Pyt0EpGi5efDxIfgoJ7Q4ZjQaVKSKs0iIeRmw/zx0OUUqFwtdBoRKUn6GKhWT5URSVwL34PNC+DwG8EsdJqUpEqzSAhLP1WrlUiyyM3yYw+6ngqVq4ZOI1K0iQ9CvdbQ7czQSVJWqSrNZnatmU03sywzeyZm+WAz+9DMtprZJjN71cyax6w3M7vHzLZEt3+a6fBHhLljoHo9aH903J9a5VUkzhZ/7Gcj0PgDSVQrJ8OqyTDkWqik69aVldK2NK8F/go8VWh5A+AxoC3QBtgJPB2z/irgTKA30As4Fbj6x8cVSQE5mbDgHehyWlm1Wqm8isRT+lio0QDaHxU6iUjRJj4INRpC3wtDJ0lppToccc6NATCz/kCrmOXvxm5nZv8GJsQsugS4zzm3Olp/H3AlMOrAYosksSVRq1WPsumaofIqEkc5e/1Bbo+zoZKmmpMEtGmB/44e9UeoWit0mpQW7z7NQ4H0mPvdgdkx92dHy37AzK6KTilP37RpU5xjiSSQuWN8i0C74K1WKq8iJVn0IWTvUtcMSVxfPQSVa8DAq0InSXlxqzSbWS/gNuB3MYtrAxkx9zOA2kX1k3TOPeac6++c69+kSZN4xRJJLDl7YcG70PW0oK1WKq8ipZQ+Fmo2hrZHhk4i8kM71sLsV+DQi6BWo9BpUl5cKs1m1hF4F7jBOfdFzKpdQN2Y+3WBXc45F4/XFUk6iz6AnN3+VG8gKq8ipZS920/j1e10Da6SxDR5JLg8OOxXoZNUCAdcaTazNsBHwF3OuecLrU7HDyoq0Jvvnw4WqVgKWq3aHBHk5VVeRfbDog8gZ4+mhpTElJkB05/2388GbUOnqRBKO+VcZTOrDlQCKplZ9WhZS+AT4D/OuaIGCz0H3GRmLc2sBfAb4Jk4ZRdJLtm7YeH70O2MMm21UnkViZO5Y6BWU2hzeOgkIj80/SnI3qlLZpej0u65bwH+EnP/QuAOwAHtgb+Y2XfrnXO1o/8+Gq3/Jrr/RLRMpOJZ+H55tVqpvIocqKxdvqW570WQVil0GpHvy83yXTPaHw3Ne5e8vcRFaaecux24fR+r7yjmcQ74fXQTqdjSx0DtZtBmSJm+jMqrSBwsfA9yM4OOPxDZpzmvwK4NcJbaNcqTLqMtUh6ydvqpq7qdoVYrkWSQPhbqNIeDB4dOIvJ9+fkw8SE4qBe0HxY6TYWiSrNIeVgQtVpprleRxJe5IzrIPRPStJuUBLPgHdiyCI64EX44I6iUIf0aiJSH9LFQpwUcPCh0EhEpyYJ3IS9LXTMk8TgHEx+A+m2g6xmh01Q4qjSLlLXMDFj8IXRXq5VIUkgfA3VbQcv+oZOIfN/KybB6Ggy5TnOHB6A9uEhZW/Au5GWra4ZIMti7HRZ/rINcSUwTH4CajaDPiNBJKiT9IoiUtbljoN7B0EqtViIJb/7bkJ+jg1xJPBvn+VldBl4NVWuGTlMhqdIsUpb2boMln/hWKw3YEEl86WOgfmtoeWjoJCLf99XDUKUmDLwydJIKS5VmkbL0XauVLsMrkvD2bIWln/nyqoNcSSQZa2DOf+HQi6Fmw9BpKixVmkXK0twxfpRzC7VaiSS8eeMhPzehumaY2Wdmlmlmu6Lbgph1F5jZCjPbbWbjzEy1qVQ1+RFw+TD4mtBJKjRVmkXKilqtRJJL+lho0C4RL0t8rXOudnQ7BMDMuuMvc38R0AzYAzwSMKOUlb3b4etn/BSIDdqETlOhqdIsUlbmvQkuT3O9iiSD3Zth2ee+vCbHQe4IYLxz7nPn3C7gVuBsM6sTOJfE2/QnIXsXDLk+dJIKT5VmkbKSPhYatveXOhWRxFZwkJuY4w/+bmabzWyimQ2LlnUHZhds4JxbAmQDnQPkk7KSkwmTR0GHY6G59iWhqdIsUhZ2bfKtVt2TptVKpGKbOwYadYJmPUInKewPQHugJfAYMN7MOgC1gYxC22YARbY0m9lVZjbdzKZv2rSpLPNKPM15GXZvhMNvCJ1EUKVZpGzMe9MP2lDXDJHEt3MDrJiYkF0znHNTnHM7nXNZzrlngYnAycAuoG6hzesCO/fxPI855/o75/o3adKkbENLfOTn+WnmmveBdkNDpxFUaRYpG+ljoXFnaNotdBIRKUnBQW5ids0ozAEGpAPfjVg0s/ZANWBhoFwSb/Pfhi2L4YgbE+5grqJSpVkk3nZugOVfqmuGSLJIHwtNukLTrqGTfI+Z1TezE8ysuplVNrMRwFDgfeBF4DQzO9LMagF3AmOcc0W2NEuScc5fMrtBW+h6eug0ElGlWSTevn0DcMnSaiVSse1YByu+StTyWgX4K7AJ2AxcB5zpnFvgnEsHfoGvPG/E92XWJL6pYsVXsOZrGHIdpFUKnUYilUMHEEk56WN9t4ymXUInEZGSJPBBrnNuEzCgmPWjgdHll0jKzcQHoGZj6DMidBKJoZZmkXjasRZWTkrIHbCIFCF9jJ8xo4lmapMEsSEdFn0Ag34BVWqETiMxVGkWiacEbrUSkUIyVsOqKSqvkli+ehiq1IIBl4dOIoWo0iwST3PHQLOe0LhT6CQiUpL0cf5fVZolUWxfBd+8Cv0ugZoNQ6eRQlRpFomX7atg9VTooR2wSFJIHwPNe0OjDqGTiHiTR/qZMwZrTGciKlWl2cyuja4klGVmzxRad6yZzTezPWb2qZm1iVlXzcyeMrMdZrbezG6Kc36RxPFtYrRaqbyKlMK2FX52gu66AJEkiL3b4OtnoOe5UP/g0GmkCKVtaV6Ln/bmqdiFZtYYGAPcCjQEpgOvxGxyO9AJaAMcDfzezE48sMgiCWruGH/lpobtQydReRUpSfpY/2/3M8PmECkw7QnI2Q1Drg+dRPahVJVm59wY59w4YEuhVWcD6c65V51zmfidbm8zK5hr62LgLufcNufcPOBx4NK4JBdJJNuWw9oZCXHZbJVXkVJIHwst+/mLR4iElrMXpjwKHY+Hg3qETiP7cKB9mrsDswvuOOd2A0uA7mbWAGgRuz76f/einsjMropOKU/ftGnTAcYSKWcFrVbdErrVSuVVBGDLElg3K3hXKpHvzH4Jdm+Cw28InUSKcaCV5tpARqFlGfgrE9WOuV943Q845x5zzvV3zvVv0qTJAcYSKWfpY6Flf2jQpuRtw1F5FYH/jT9I7INcqSjy8/w0cy0OhbZHhE4jxTjQSvMuoG6hZXWBndE6Cq0vWCeSOrYsgXWzk6HVSuVVBGDuWGg1UIOtJDHMGw9bl8IRN4JZ6DRSjAOtNKcDvQvumFktoAO+3+Q2YF3s+uj/6Qf4miKJJXkGFKm8imxeBBu+SYjxByI4BxMf9APIu5waOo2UoLRTzlU2s+pAJaCSmVU3s8rAWKCHmZ0Trb8NmOOcmx899DngFjNrEA02uhJ4Ju7vQiSk9LFw8CCo1yp0EkDlVaRY6WMBg25nhE4iAsu/9IPIh1wHaZVCp5ESlLal+RZgL/BH4MLo/7c45zYB5wB3A9uAQcDwmMf9BT/QaAUwAbjXOfdefKKLJIBNC2HD3ESb61XlVWRf0sdC68OgbovQSURg4gNQqwn0viB0EimFyqXZyDl3O356qqLWfQR02ce6LODn0U0k9SRgq5XKq8g+bJwPG7+Fk/8VOokIrJ8Liz+CY26FKtVDp5FS0GW0RQ5E+lhoMwTqNg+dRERKkj4WLA26nh46iQh89RBUqQUDLg+dREpJlWaRH2vjPNg0LxlmzRAR5yB9DLQ5HOo0C51GKrrtK+Gb16DfpVCjQeg0UkqqNIv8WHPH+FarBOqaISL7sCEdNi/UQa4khkmP+OnlDrsmdBLZD6o0i/wYzvlTvW2PgNpNQ6cRkZIUdM3QQa6EtmcrzHgWev40YWZdktJRpVnkx9gwF7YsUquVSDIo6JrRbijUahw6jVR0056AnD0w5PrQSWQ/qdIs8mOkjwWrpAFFIslg/Rx/xbXEmhpSKqKcvTBlFHQ6AZp1C51G9pMqzSL7yznfn1mtViLJYe4YSKsMXU8LnUQqulkvwp4tcPgNoZPIj6BKs8j+Wjcbti3TZXhFkkHB+IP2w6Bmw9BppCLLy4WvHoaW/f1UpZJ0VGkW2V/pUatVl1NDJxGRkqydAdtXqGuGhDfvTdi2HI640c+cIUlHlWaR/fFdq9XRarUSSQbpYyGtCnQ5OXQSqcicg4kPQqOOcIi+i8lKlWaR/bFmhp+UXl0zRBKfc5A+DjoeqwtISFjLPod1s2DIdZBWKXQa+ZFUaRbZH+ljoFJVtRSIJIPV0yBjlaaGlPAmPgC1m0Gv4aGTyAFQpVmktHL2wqzR0OknUKN+6DQiUpLpT0OVWjrIlbDWzYEln8CgX0CV6qHTyAFQpVmktL55FfZu9T98IpLYdm2Eua9Bnwuget3QaQ6YmXUys0wzeyFm2QVmtsLMdpvZODPTQItE9NVDULU29P956CRygFRpFikN52DyKGjWw186W0QS2/SnIS8bBl0dOkm8/AeYVnDHzLoDjwIXAc2APcAjYaLJPm1b4ecJ73epzlCmAFWaRUpj+RewMR0G/1JTBYkkutxsmP4kdDweGncKneaAmdlwYDvwccziEcB459znzrldwK3A2WZWJ0RG2YdJ/wFLg8HXhE4icaBKs0hpTB4JNRtDj3NDJxGRkqSPhV0b/EFukjOzusCdwG8KreoOzC6445xbAmQDnffxPFeZ2XQzm75p06ayiiuxdm+BGc9Br/OgXsvQaSQOVGkWKcnWpbDgXeh/mQZxiCQ652DyI9D4EOhwTOg08XAX8KRzblWh5bWBjELLMoAiW5qdc4855/o75/o3adKkDGLKD0x7HHL3wpDrQyeROKkcOoBIwpv6uJ9Xs//loZOISElsqhtlAAAgAElEQVRWTfHz4Z5yf9J3pTKzPsBxQN8iVu8CCo9wrAvsLOtcUgrZe2DKo9D5JGjaJXQaiRNVmkWKk7UTZr7g53mt2zx0GhEpyeSRUL0e9E6J+XCHAW2BleYPAGoDlcysG/Ae0LtgQzNrD1QDFpZ7SvmhWS/62ZYOvyF0EokjVZpFijNrNGTtgEHJ3zdSJOVlrIZ54+GwX0HVWqHTxMNjwMsx93+Lr0T/EmgKTDKzI4EZ+H7PY5xzamkOLS/XTzPXaiC0Hhw6jcRRXPo0m1lbM3vHzLaZ2Xoz+7eZVY7W9TGzr81sT/Rvn3i8pkiZy8+HKaOg1QBo1S90mrhReZWUNfVxwMHAK0MniQvn3B7n3PqCG75LRqZzbpNzLh34BfAisBHfl1lTNCSCb8fB9pVwxI1J30VIvi9eAwEfwRfa5kAf4CjgGjOrCrwBvAA0AJ4F3oiWiyS2RR/4QYApMAK/EJVXST3Ze+DrZ6DLqVC/deg0ZcI5d7tz7sKY+6Odc62dc7Wcc2c457aGzCf4gagTH4RGnXx/Zkkp8ao0twP+65zLjI6G38NPhzMM3wXkAedclnPuIcCAlBjSLCluykio0wK6nh46SbypvErqmfMKZG5PxYNcSSZLP4P1c+Dw6yFNE5Slmnj9RR8EhptZTTNrCZzE/3bEc5xzLmbbOdHy79EckpJQNs7zP34Dr4BKVUKniTeVV0ktzvmuVM17Q+vDQqeRimziA1D7IOj1s9BJpAzEq9I8Ab9j3QGsBqYD49iPeSQ1h6QklCmjoHJ16HdZ6CRlQeVVUsvST2HTfD9gV31IJZS1s3xjy+BfQuVqodNIGTjgSrOZpQHvA2OAWkBjfH/Ie9A8kpKM9myF2a/4qzjVbBg6TVypvEpKmjwKajWFHmeHTiIVlXPwyV+hah1/ISxJSfFoaW4IHAz8O+oHuQV4GjgZSAd6mX3v0L9XtFwkMc141l/FadAvQicpCyqvklq2LIFF70P/n6t1T8L55jVY/CEc/Sc/T7ikpAOuNDvnNgPLgF+aWWUzqw9cAswGPgPygOvNrJqZXRs97JMDfV2RMpGX46etajcUmv2gK2/SU3mVlDPlUUir4ivNIiHs3gLv/QFa9odBV4dOI2UoXn2azwZOBDYBi4Fc4NfOuWzgTOBiYDvwc+DMaLlI4pk3HnasgcEpPd2pyqukhswMf+W1HudAnWah00hF9d4fIXMHnP4wpFUKnUbKUFyuCOicm4WfrqqodTOB1LkyhKS2KaOgQTvodELoJGVG5VVSxswXIXsXDE7JrlSSDBZ+AN/8F476IzTrFjqNlDFNIihSYM0MWDXFn17T/JoiiS0/zx/kHjwYWvQNnUYqoqyd8NavoUkXOPKm0GmkHKhmIFJgyig/8rnPiNBJRKQkC9+D7St0MRMJ56M7fHe+0x/WINQKQpVmEYCd62HuGOg7AqoXnnVNRBLO5JFQ72B/2WyR8rZyMkx7wp+ZPHhg6DRSTlRpFgGY/hTk58LAq0InEZGSrJ8Ly7+AAVdApbgMzREpvZxMePM6f9B2zK2h00g50q+NSE4mTHsSOp8AjTqETiMiJZkyCirXgEMvDp1EKqIv/gWbF8KFr0O12qHTSDlSS7PI3Ndhz2b1jRRJBru3wDevQu/hKXfFTkkC6+fCl/8HvYZDx+NCp5FypkqzVGzOwZSR0LQbtDsqdBoRKcnXT0NuZqpesVMSWX6e75ZRvT6c+PfQaSQAVZqlYlvxFaz/xg/m+N7Vo0Uk4eTl+MFX7Y+Gpl1Cp5GKZvJIWDsDTv6nznJUUKo0S8U2ZSTUaAA9zwudRERK8u0bsHOdulJJ+du6DD75K3Q+CbqfHTqNBKJKs1Rc21bA/Leh36VQtWboNCJSkskjoWEH6Hh86CRSkTgH46+HtMpwyn06K1mBqdIsFdfUxwDz01aJSGJbPR3WTPd9mXXFTilPM1+AZZ/D8XdAvZah00hA+uWRiilrF8x4HrqdDvVahU4jIiWZPBKq1YU+54dOIhXJzvXwwZ+hzeHQ77LQaSQwVZqlYpr9EmRlwOBrQicRkZLsWAvfjoO+F0G1OqHTSEXyzu/8XP6nPaQzHKJKs1RA+fkw5VFocSi0GhA6jYiUZNqTfrqvgVeGTiIVybzxMO9NGPYHaNwxdBpJAKo0S8Wz5BPYssiPwNeADpHElrPXz818yMnQsF3oNFJR7N0Ob/8WDuoJQ64PnUYShC6jLRXPlJFQ+yDodmboJCJSkm9ehT1bYLAuZiLl6MNbYfdGuOBlqFQldBpJEGpplopl00JY/BEMuBwqVw2dRkSK4xxMHgXNekDbI0OnkYpi2ecw4zkYch206Bs6jSQQVZqlYpkyCipV1ShokWSw/AvYmK4rdkr5yd4Db14PDdvDsJtDp5EEo0qzVBx7t/lZM3r+FGo3CZ1GREoyeRTUbOTLbAVlZi+Y2Toz22FmC83siph1x5rZfDPbY2afmlmbkFlTwmd/g23L/GwZVWqETiMJRpVmqThmPA85e/zFEUQksW1dBgve8WeFKnbl5e9AW+dcXeB04K9m1s/MGgNjgFuBhsB04JVwMVPAmhkw6T9w6CXQTt2B5Ic0EFAqhrxcmPo4tDkCmvcKnUZESjL1cUirVOGv2OmcS4+9G906AP2AdOfcqwBmdjuw2cy6OOfml3vQZJeXA29eB7WawvF3hk4jCUotzVIxLHgHMlZqBL5IMsjaCTOf9zPc1G0eOk1wZvaIme0B5gPrgHeA7sDsgm2cc7uBJdHyop7jKjObbmbTN23aVA6pk8zEB2HDXDjlPqhRP3QaSVBxqzSb2XAzm2dmu81siZkdGS1XnysJb8ooqN/az/UqKq+S2GaNhqwdfi51wTl3DVAHOBLfJSMLqA1kFNo0I9quqOd4zDnX3znXv0kTjen4ns2LYMI/odsZ0PXU0GkkgcWl0mxmxwP3AJfhC+xQYKn6XElCWDcbVkyEgVf5070VnMqrJLSCK3a27A+t+odOkzCcc3nOuS+BVsAvgV1A3UKb1QV2lne2pJaf77tlVKkBJ90bOo0kuHi1NN8B3Omcm+ycy3fOrXHOrQHOJupz5ZzLBG4HeptZlzi9rkjJJo+CKrWg70WhkyQKlVdJXIs/hK1L1Mq8b5XxfZrTgd4FC82sVsxyKa2vn4KVk+CEv0GdZqHTSII74EqzmVUC+gNNzGyxma02s3+bWQ32o8+V+ltJmdi1Eea+Bn3OVz81VF4lCUweCXWa+1PlFZyZNY26UtU2s0pmdgJwPvAJMBboYWbnmFl14DZgjgYB7oeMNfDh7dD+aOhzQeg0kgTi0dLcDKgCnIvvb9UH6Avcwn70uVJ/KykT056AvGxNM/c/Kq+SuDakw9JP/RU7deli8DNl/BJYDWwD/gXc6Jx7wzm3CTgHuDtaNwgYHipo0nEO3vo1uDw47QFdPEdKJR5Tzu2N/n3YObcOwMzux++EP0d9riSUHWvhq4eh6+nQuFPoNIlC5VUSk3Pw/p+hej3of3noNAkhqhgfVcz6jwB1n/ox5r4Oi9733TIatA2dRpLEAbc0O+e24Y+CXRGr1edKwvnodsjP05ybMVReJWEteNe3Mg/7E9RsGDqNpLLdW+Dd30PLfjoLKfslXgMBnwaui/pfNQBuBN5Cfa4klFVTYc4rMORaaNgudJpEo/IqiSU3C97/EzQ+xHfNEClL798MmRlw+sOaUUn2S7wqzXcB04CFwDxgJnC3+lxJEPn58O4foPZBcMRNodMkIpVXSSyTR8K2ZXDi39SXWcrWoo98g8oRN0GzIq8DI7JPcbmMtnMuB7gmuhVepz5XUr7mvAJrZ8BZj0K12qHTJByVV0koOzfA5/dC55Og43Gh00gqy9oJb93oz2gM/W3oNJKE4lJpFkkYWTt9X+aW/aHneaHTiEhJPrnTd8844e7QSSTVfXwXZKyGn78PlauFTiNJSJVmSS1f3A+71sPwFyEtbleJF5GysGYGzHwRhlwHjTqETiOpbNVUmPqYvzJs60Gh00iSUq1CUsfWZTDp39BruC6/K5LonIP3/gi1GsPQ34VOI6ksNwveuBbqtYJjbwudRpKYWpoldXxwC6RVgeP+EjqJiJRk7uuwaoqfwaB64enBReLoi/tg8wIY8brGucgBUUuzpIaln8H8t+DIm6Bui9BpRKQ42bvhw9ugeW/oMyJ0GkllG9J9pbnXz6CTBprKgVFLsyS/vFx472ao3xoOuzZ0GhEpycQHYccaOOdJzZMrZSc/D968zl9l8oS/h04jKUCVZkl+M56Bjd/Cec9Dleqh04hIcbav9JXmHudAm8NCp5FUNmUUrPnaH5zVahQ6jSSgVVv38Mhni0u9vSrNktz2bIVP7oa2R0LX00KnEZGSfHgbYHDcHaGTSCrbthw++St0OsEfoInE2Lgjk4c/WczL01ZiZqV+nCrNktwm3AOZ2+HEf8B+fPFFJIDlEyF9LAy7GeofHDqNpCrnYPwNYJXg1Pu1b5DvbNudzagJS3h20nJy8xw/G3Aw1x3TiealnCZelWZJXhvnw9THod+lcFCP0GlEpDj5eX6KubqtYMj1odNIKps12g8OP+U+P82cVHg7M3N48stlPPHFMnZn53JWn5bccFwn2jSqtV/Po0qzJKeCOV6r1Yaj/xw6jYiUZOYLsH4OnPsUVK0ZOo2kql0b4f0/Qesh0O/nodNIYJk5eTw3aTkjP1vCtj05nNj9IG76SWc6N6vzo55PlWZJTgvfg6Wf+m4ZtRqHTiMixcnMgI/vhNaHQfezQ6eRVPbO7yBnL5z+kK4KW4Fl5+bzyvRVPPzxIjbuzGJo5yb89ied6dWq/gE9ryrNknxys3xLQuPOMOCK0GlEpCQT/gl7tsCJr6l/qZSd+W/Dt+PgmFuhcafQaSSAvHzHuJlreODjhazaupcBbRvw8Pl9GdQ+PrOnqNIsyWfKo7B1KVz4OlSqEjqNiBRn8yI/9VffC6FF39BpJFXt3Q5v/waa9YTDbwidRsqZc4735q7nvg8XsnjjLrq3qMvTl/VgWOcm+zU7RklUaZbksmujb7XqfCJ01NWdRBLe+3+GyjXg2NtCJ5FU9uFtsGsDDB+txpQKxDnHhIWb+NcHC5i7ZgcdmtTikRGHcmL3g0hLi/9ZLVWaJbl8fCfkZsJPSjk/jIiEs+hDWPQ+HH8X1G4aOo2kqmVfwIxnYch10PLQ0GmknExdtpV735/PtOXbaNWgBv/6aW/O6tuSSmVQWS6gSrMkj7Uz/Qj8w34FjTuGTiMixcnL8WMPGnaAQb8InUZSVc5eGH89NGgHw/4UOo2Ug29WZ3DvBwv4fOEmmtapxl1ndOdnA1pTtXLZD/xUpVmSg3Pw7h+hZiM46veh04hISaY9AZsXwvmvQOWqodNIqvrs736MyyXjNZVhilu0YSf3fbCQ99LXU79mFW4+qQsXH9aWGlUrlVsGVZolOcx9HVZNhtMegur1QqcRkeLs3gyf/h06HAudTwidRlLV2lnw1b/h0Iuh3dDQaaSMrNyyhwc+WsjYWWuoVbUyNxzbiSuObEed6uXfd12VZkl82Xv8II+DevkR+CKS2D69G7J3wYl/1xRzUjZy9sKb10KtJr7PvKScDTsyefiTRbw8dRWV0oyrjmzP1Ud1oGGtcGeuVGmWxPfVQ7BjDZzzBKSV32kYEfkR1n8DXz8DA6+CJoeETiOpKDcLXrkQ1s+F81+CGgd2wQpJLFt3ZzNqwhKe/Wo5+c5x/sDWXHtMR5rVrR46mirNkuC2r4IvH/BXEWszJHQaESmOc/DezVC9Pgz7Y+g0korycuC1n8Pij+D0h+GQk0InkjjZkZnDE18s46kvl7EnO5ez+rbixuM6cXDDxOmrHtehhmbWycwyzeyFmGUXmNkKM9ttZuPMrGE8X1NS3Ed/ARwcf2foJClH5VXibt6bsPwLOObPUKNB6DRJz8yqmdmTUZncaWYzzeykmPXHmtl8M9tjZp+aWZuQectcfh6MvRrmvwUn3ev7MkvS25udx6gJSxj6z0956ONFDO3cmA9+PZT7zuudUBVmiHOlGfgPMK3gjpl1Bx4FLgKaAXuAR+L8mpKqVnzlBwAefgPUPzh0mlSk8irxk7MXPrgFmnaHQy8NnSZVVAZWAUcB9YBbgf+aWVszawyMiZY1BKYDr4QKWuby8+HN6/w+4fg7YdBVoRPJAcrOzee5ScsZeu+n/OPd+fQ5uD5vXXcEj4zoR8emdULHK1LcumeY2XBgO/AVUDCJ7ghgvHPu82ibW4F5ZlbHObczXq8tKSg/D979A9RtqUuilgGVV4m7Sf+G7Svh4jehknr+xYNzbjdwe8yit8xsGdAPaASkO+deBTCz24HNZtbFOTe/vLOWKefgnd/CrBdh2M3aJyS53Lx8xs5cw4MfL2L1tr0MbNeQR0YcyoC2iX9iMy6/bGZWF7gTOBa4PGZVd/xOGQDn3BIzywY6A18Xeo6rgKsAWrduHY9YksxmvQjr58A5T0LVWqHTpBSVV4m7HWvhi/uh62nQ/qjQaVKWmTXDl8d04JfA7IJ1zrndZrYEX45/UGlO2jLrnD+DMf1JX1k+6g+hE8mPlJuXz9vfrOOhjxexZNNuerasx9/O6smRnRpjSTLLTryaA+4CnnTOrSr0xmsDGYW2zQB+0O7unHsMeAygf//+Lk65JBll7vCXyz54MPQ4J3SaVKTyKvH10R3+7JCm/iozZlYFeBF41jk338xqA5sKbVZkeYUkLrOf/s2fxRh4NRx3h6YwTEJ7snP577RVPPHlMlZv20vnZrUZdWE/TujeLGkqywUOuNJsZn2A44C+RazeBdQttKwuoFO9sm+f3+svjjDiVf1AxpnKq8Tdqmkw52U48jfQsF3oNCnJzNKA54Fs4NpoceqX1y/ug8//6Qf8nfgP7Q+SzJZdWTw7aQXPTVrO9j05DGjbgNtP684xXZqSlpacf8t4tDQPA9oCK6MjhtpAJTPrBrwH9C7Y0MzaA9WAhXF4XUlFW5bA5JHQdwS0KKpeJwdoGCqvEi/5+fDeH6D2QXDETaHTpCTzBfVJ/ODck51zOdGqdOCSmO1qAR2i5clv0iP+jGPP8+DUByAt3vMWSFlZsWU3j3+xlFenryY7L5/juzbj6qPa069N4vdZLkk8Ks2PAS/H3P8tfqf8S6ApMMnMjgRm4PtRjtGgIilSzl4//2aVGnDMbaHTpCqVV4mfCffAmq/hrMegWu3QaVLVSKArcJxzbm/M8rHAvWZ2DvA2cBswJyUGAU5/Ct6/GbqeDmeO1EWtksTsVdt57POlvDt3HZXT0jj70JZccWR7OjZNnd+GA640O+f24KemAsDMdgGZzrlNwCYz+wW+H1Yj4CPgsgN9TUlBzsH4G2DdbH+FpzrNQidKSSqvEjfz3oIJ/4A+I6DXeaHTpKRo3uWrgSxgfUz/z6udcy9GFeZ/Ay8AU4DhQYLG06yX4K2boNMJfiC4ZmJJaM45Plu4iUcnLGHy0q3UqV6ZXxzVgUuHtKVpAlzBL97i/m10zt1e6P5oYHS8X0dSzORHYM4rcPQtusJTOVJ5lR9l4zx/kYmW/eCU+9XXtIw451YA+/xwnXMfAV3KL1EZmzsG3rjGz8By3nNQuWroRLIP2bn5jJ+9lse/WMr89TtpXq86t5zSleEDW1O7Wuoe6KTuO5PkseRTP6VQ19P8YCIRSVx7t8HLF0CVmvCzF6BK6rUmSQDz34ExV/pZk4aP1vcqQe3KyuXlqSt58stlrMvI5JBmdbj/vN6c2qsFVSunfr9zVZolrK3L4LXLoEkXOHOUBnuIJLL8PHj9Cti+Ci59G+q2CJ1IUsHij+DVS6B5b7jgFc3Nn4A27szkmYnLeX7yCnZm5jK4fUP+dnZPhnVuknTTxh0IVZolnOzd8PIIcPkw/EUNJBJJdB/f6Ss4pz0IrQeFTiOpYNkXfj/Q5BC48HWoXngWPQlpyaZdPP75UsbMWENufj4n9WjOVUPb0/vg+qGjBaFKs4ThHIy7BjbNgxGvQcP2oROJSHHmvg4TH4D+P4d+l4ZOI6lg1VQY/TOo3wYuGgc1GoROJJGvV2zl0QlL+XDeBqpWSuO8Aa244oj2tG1csc8CqNIsYXx5P3w7zl9BrOOxodOISHHWzYFxv4LWh8GJ94ROI6lg7Sx44Vw/U9Ilb0KtxqETVXj5+Y6P52/k0QlLmL5iG/VrVuG6Yzpx8WFtaFy7Wuh4CUGVZil/Cz+Aj++CHufCkOtCpxGR4uze4k+f12igGQ0kPjZ8C8+fCdXrwcVvQp2DQieq0LJy8xg3cw2Pfb6UJZt207J+DW4/rRvnDTiYmlVVTYylT0PK1+bFfiDRQT3h9Ic1VZVIIsvL9QO0dm2An78HtZuGTiTJbvMieO4MqFwdLnkD6h8cOlGFlbE3h9FTVvL0xGVs3JlF9xZ1eXB4H07p2ZzKlTQovyiqNEv5ydzhp6qqVNkP/KtaM3QiESnOB7fA8i/8zDYtDw2dRpLdtuXw7OmA8y3MGssSxLqMvTw9cTmjp6xkV1YuR3ZqzP3n9eHwjo0q1EwYP4YqzVI+8vP9xRC2LIaL34D6rUMnEpHizBoNU0bC4Gugz/mh00iyy1gNz54GuXvhkregSefQiSqcBet38tjnS3lj1hoccEpPPxNGj5b1QkdLGqo0S/mY8A9Y8A6cdC+0OzJ0GhEpzuqvYfyN0G6oH6wrciB2bvAtzHu3+0aTg3qETlRhOOeYsmwrj32+lE/mb6RGlUpcOLgNlx/RjoMb6mzv/lKlWcrevPEw4R7ocyEMvDJ0GhEpzs4N8MqFflaDc5/x3alEfqzdW3wf5p3r4aKx6uZTTvZm5/HWnLW8MHkFs1dn0LBWVW46vjMXDW5Dg1oazPtj6ddQytbGeTD2F9CyP5xynwb+iSSy3Gz478X+UtlXfAi1GoVOJMls7zY/S8a2ZTDiVV0QpxzMW7eDl6auZOzMNezMzKV9k1rcdWYPftqvFdWrVAodL+mp0ixlZ+82P/Cvai342fNQpXroRCJSnHd/D6smw7lP+RluRH6srJ1+HuaN8+D8l31XHykTe7JzeWvOOkZPWcmsVdupWjmNk3scxPkDWzOwXUMN7osjVZqlbOTnwWuXw/ZVcOnbULdF6EQiUpzpT8HXT8MRv4Ye54ROI8kse4+/0t/amX5u707HhU6UktLXZvDy1FWMm7mGnVm5dGxam1tP7cbZfVuqC0YZUaVZysbHd8CSj+G0h3RKTiTRrZwM7/weOh4Hx9waOo0ks5xMf4Zx5SQ4+3HoemroRClld1Yub81Zy+gpK5m9OoOqldM4tWdzzh/Umv5tGqhVuYyp0izx981rMPFB6H859LskdJqE5Zxj8tKtOOcY0lGXkJVAMtbAKxf5i0yc8wSkqd/jvqzauodJS7Zw3gBdkKNIudn+YjhLP4UzHoGe54ZOlDLmrsngpakreWPWWnZl5dKpaW3+clo3zurbkvo11apcXlRplvhaNwfeuBZaD4ET/xE6TULalZXL2BmreX7yChZu2MWQDo1UaZYwcjL9TBk5e+CS8f5S2fI9+fmOLxZv5vlJy/l4/kYqmXF0l6Y0qVMtdLTEkpcLY66Ehe/5Qd99R4ROlPR2ZeUyfvZaXpq6kjmrM6hWOY1TejXngoGt6adW5SBUaZb42b0ZXh4BNRvCec9CZR39xlq4YSfPT1rBmBmr2Z2dR8+W9fjnub04vbf6e0sAzsFbv4a1M2D4aGjaJXSihJKxJ4dXv17FC5NXsHzLHhrXrsqvhnXkgkGtVWEuLD8f3vgVfDsOfnI3DLgidKKk9s3qDEZPXcmbs9awOzuPQ5rV4fbTunFW31bUq1kldLwKTZVmiY+8HHj1Uti9ES57F2o3DZ0oIeTk5fNB+gaen7ycyUu3+v5nvZpz8WFt6XNw/dDxpCKb8ijMHg3DboYup4ROkzDmrsng+UkreGP2GjJz8unfpgG/Pr4zJ/VoTtXKaaHjJR7n4K0bYc7LcMwtMOTa0ImS0s7MHN6MWpXnrtlB9SppnNqrBecPbM2hreurVTlBqNIs8fHBLbD8CzjrUU1eD2zckcnoqSt5aepKNuzIomX9GvzhxC78bMDBNNSoZglt6QR4/09wyCkw9Peh0wSXlZvHO9+s47lJK5i5cjs1qlTirL4tuWhwW7q1qBs6XuJyDt77I8x4Fo78DQz9XehEScU5x5zVvq/ym7PXsic7jy4H1eHOM7pzRp+W1KuhVuVEo0qzHLiZL8KUUTD4V9B7eOg0wRRcrvT5SSt4P309ufmOozo34W9ntWHYIU2plKaWAkkA21b4s0KNOsJZoyCt4raert62hxenrOSVaavYujub9o1rcdup3TinXytVWErinJ8lacooGHyNZl3ZDzsyc3hj1lpemrKSb9ftoEaVSpzWuznnD2xNn4PVqpzIDrjSbGbVgEeA44CGwGLgT865d6P1xwL/AVoDU4BLnXMrDvR1JUEs/cz3i2x3FBx/Z+g0QRQe2FevRhUuO7wtIwa1oW3jWqHjfY/KawW3a5OfDiw/D85/CapXvFbU/HzHl4s389ykFXwyfwMAx3VtxkWHteHwDo1J08Ft6Xx+L3z5f9DvMjjhb7raawmcc8xencFLU3yr8t6cPLo2r8tdZ/bgjD4tqFtdB2nJIB4tzZWBVcBRwErgZOC/ZtYT2AWMAa4AxgN3Aa8Ag+PwuhLatCf9FcQadYSfPgOVKtaJi0UbdvL85BWMmbGGXVm59GhZl3+e04vTeregRtWEnbZL5bWiWj8XXhruB+wOfxEadQidqFwVDOx7ccpKlm3eTaNaVfnlsA5cMKgNLevXCB0vuUx8CD69G3qfD6fcrwpzMXZk5vDGzDWMnrqKeet2ULNqJc7o4/sq92pVT63KSeaAaznOud3A7TGL3jKzZUA/oBGQ7px7FcDMbgc2m1kX59z8A31tCcaghsAAABzFSURBVCQvF96/GaY+Bp1+Auc8WWFarHLy8vnw2w3/396dB8ddXYke/97u1tZSa22tLUuWLcmLvMiysY2xDQaDDZjVlQAGAiGMGRhqkplQk8yrLEzCC5MX3iyVZWbIIzVJIEwyg0nAEBw2L8KAY+RVtpHkRZK1t/bW1tt9f/xaQhhky3ZLrW6dT5VKqNVSH//4Hf1O39+95/Kr9wML+8zGwr77r8wPi9tqkq/T1InX4KW/MPL0oT9CzpJQRzRpjjZ08/wHtfz+oLGwb2l+Cl+9rogbF2YRY5myb26nrn0/hze/DSV3wK0/mdbTe8aiteZAfRcvfljHq4cbGfT4mZ+dyFOBUWWbjCqHraAPDSqlMoFioBJ4FDg0/D2tdZ9S6iRQApw45+e2AlsB8vLygh2WCJaBTmM+5KmdcOXjxpSMabAZQmVjN9sqGvjDwUacLmNh399tnMNdy2aQlhC+7ackXyOc1lD+T/D2941C+e7fQGJ2qKOacE7XEK8cbGTbgbMjnQhuL3Vw38p8FjiSQh1e+Kr4Nbz+BMy5ydjtb5rdXbyQrn63MVd5Xx0nmnuxRhsLSu9ZnsdCh4wqR4KgnvFKqSjgBeCXWusTSqkEoO2cp3UDtnN/Vmv9LPAswLJly3Qw4xJB4qyBF+8yFhLd+hMouz/UEU2o1p5B/nCwkZcqznKiuZcos+LauRl8YekM1s0N/4V9kq8RzjMIr/41HP4tLNgMt/0UoiJ3GsKgx8c7J1p56aOz7Kxqw+fXLHQk8d1b5nOn9Le9PH6f0aJwx/+C2dcGpuPJ8QToHvDw5rEWth9upLzaiTdw3v3gjoXcWppDQoy8sYgkQfu/qZQyAb8G3MBwo0YXcO59+0SgN1ivKybJyXeN7VFNFnjgFchfFeqIJsSgx8eOyma2VTSwp7oNv4bSGcl8/7YSNi3KISVC2sVJvka43hb47b1w9s+w7luw9omInHeqtaairpOXKhrYfqiRnkEvmYkxPLymgDuX5DIn6zPv98KOUupx4EFgIfCi1vrBUd+b+IW7zUfh1a9Cw34o2mAUzJbwvbsWDL2DHt463sL2Q03srm7D49M4kuP4yuoCblmcI3czIlhQimZl3HN4DsgEbtJaewLfqgQeGPW8eGB24HERLvb9HP74DUifY6y4T5kZ6oiCyu/X/PlMB9sqGnj9SBO9Q15ykmJ59JrZ3LEkl8KMhFCHGFSSrxGu6TC8eA8MdMAXfwXzbwt1REFX39HPywca2FZxljPt/cRGmdhYksXmpbmsmm0P+7tA52gEngI2ACO3CpRSdiZy4a67H3b9EN7/CcQmG9MxFn4hIt98jYdryMvbx1t47XATO6vacHv9ZCfF8sCVM7l5UXZYrGkRly9YI83/BswD1mutB0Y9/jLwI6XUZuA14DvAYVlUFCZ8HqNY3v8cFN8Im38OMeE/cjPstLOPlyvOsu1AA2c7B7BGm7lxQTablzpYWZAWya2nJF8j1bFX4OVHIC4FHnoDsheHOqKg6Rn08McjTbxU0cC+0x0AXDkrjb9aV8iNC7Mj9ja41nobgFJqGZA76lt3MlELd0++Y7QS7TwDS+6D678P1tTL+pXhqN/t5Z0Trbx2uIl3TrQy5PWTmRjDvSvy2LQomyUzUiL5OiE+RzD6NOcDjwBDQPOod1qPaK1fCFyAfwI8j3H7aPrufhFO+juM6Rind8NVX4XrvhsRC/66+z1sP9LItooGPqrtRClYXWjn6zcUs6EkC2t0ZF54h0m+RiitYc8z8M5T4FhmLPizZYY6qsvm9fkpr3GyraKBHZXNDHn9zLLH88QNxdy+xEFuijXUIYZSCeNcuDtufU5j3vLh3xqtRB/YDgVrghNtmBj0+Hj3RCvbjzTxzvFWBjw+7Akx3H3FDG5elMOyfCmUp7NgtJyrBcY8g7TWbwFzL/d1xCRqqzIW/HWfhdt+BkvuDXVEl8Xj87Pr4za2HTjLW8dacfv8FGYk8I2Nc7l9SQ7ZSZG7OOpckq8RyDMAf3gcjv4PLPwi3PpjiIoNdVSX5XhTD9sqzvL7g4209Q6RFBfFF5blsrksV26Df2LcC3fhAh1vtIaDL8CfvgVDLmNr9TVfD/vzaLwGPT52VbXx2uEm3jreQr/bR1p8NJuXOrh5YQ7LC1IjbcqPuESRPawmLl7N2/DfXzZWRj/wKuSF574WHp+fD091sKOymdePNNHe5yY1PpotK/LYXJbLAkeiXHhF+OttNnb4a/gIrvsOrP7bsJ1zWtPay47KFrYfbuJ4Uw8Wk2Ld3Aw2lzlYNzdDeip/1kUt3B2z442zBrZ/Dc7sgRkr4ZZ/hYzIf9885PVRXu1k++Em3jzWgmvIS4o1ittKHWxalM2KglQsZulBLT5NimZh0DrQUujvIWO+seAvObz67w56fOyuamNHZQtvHW+he8BDbJSJdXMyuLMsl2vmpBMlfwRFpGg8aCz4G+yGu16AeZtCHdFF0VpzpKGbHZXNvHG0mZNtfYDRrebJW+Zzy+KcsO6BPgkub+Gu1w3v/auxHbYlFjb9C5Q9ENGblbi9ft476WT7oSb+dKyZ3kEvSXFR3LQwi02LcrhydppcI8R5SdEsjAV/rz8BH/0nzLkZ7nwWYsKjY0TPoId3T7Syo7KZd0+0MeDxkRhrYf28TDYsyGJtUfpU3tJaiEtT+Xt4+S/BmgZf2QFZC0Md0bj4Ap1qdlQ286fKFhq6BjCbFCsKUnlg1UxumJ9FVtL0mBIwXkopC8a12gyYlVKxgJfLWbjr7oP/WANtJ4yd/Tb+I9iyJu4fEUIen5/3T7bz2uEm3qhspnvAgy3Wwg3zs9i0OJurZtuJtkihLMZHiubprr8Dfvcl49bc6r+Ba78z5UcanK4h3jzWwo7KZt6rceLxadJtMdxZ5mBDSRYrZ6XJH0ERmbSGXf8Hdv4AcpfD3S9AQkaoozqvIa+PvTXt7Khs5s1jLbT3uYm2mFhbZOdr64tYPy8zYvqfT5BvAd8d9fV9wD9orZ+85IW7zipwz4Mtv4PiDcGON+S8Pj8fnu5g++Em3jjaRGe/h4QYC9fPz2TTomxWF9lluo+4JFI0T2etJ4wFfz1NcMezsPiuUEc0prOd/eyoNArl/Wc68GuYkRrHg6tmsnFBlrT+EZHPMwC/fwwqt8Hie4y5p1N0k4m+IS87P25jR2Uz75xoxTXkJSHGwrq5GWwsyeLqOekR2yIu2LTWTwJPjvG9S1u4m5ABj30QNncUx8Pn1+w73cFrRxp542gzTpcba7SZ9fOMQnltcTqxUVIoi8sjf7Wmq+o34X8eMi66D26HGctDHdFn1LT28sbRZnZUtnCkoRuAOZk2Hr+2iA0lmczPlsV8YproaYL/useYx7z+H4w2kFPs3O/sc/PW8RZ2VLawu9rY/CE1PpqbF2azcUEWqwrTZHRvqkh0RETB7Pdr9td28trhRl4/2kxb7xBxUWaunZfBLYuyuWZOhhTKIqikaJ5utIYPfma0FsooCSz4mxHqqABj7tmh+i7eCcxRHr0w6Js3zmVDSRYF9vgQRynEJGuoMDpkDPYY/Zfn3hTqiABjIV9tez+7q40R5Q9OdeDza3KSYtmyPI+NC7JYlp8iHQhEUHX0uSmvcbK7qo3dVW209g4RYzFx7dwMNi3KYd3c9Ijvty9CR86s6UJrY3R559PQWAFzN8Ed/xHS0QatNaecfZRXO9lT7eSDU+24hryyMEgIgI5TsOtHxkYTiQ74yp8ga0FIQ+rqd/NeTTvlNW3sqXZyttPYUHJWejyPrJ3FxgVZLHQkyR0gETQen5+K2k72VDvZXd3GkYZutIakuChWF9m5YX4m6+dlEi/TfcQkkLMs0mlt9F7e+TQ07DfayN36Yyi9LyQL/oZHCcqr2yivdtLYPQgY85NvWZzDmiI7q2ankWyVhUFimuo4DbufgUMvGv3SV/ylsdFEfNqkhzLk9fFRbSfl1U7Ka5wjBYstxsLK2WlsXTuL1YV2ZqWH/61+MXXUtvcZI8nVTt4/+clgypIZyfzN+mLWFqez0JEkG46ISSdFc6TSGk69C+8+DWf3QdIMY+HQ4i1gmbyCdNBjXHT3VDspr2njaEMPAImxFlbNtvPYOjtriuzkp8m0CzHNddYaPXMPvQjKDMu3wuqvTWorMK01VS0u9lQbI8n7Tncw4PGNFCxfva6INUV2Fucmy7QLETS9gx7eP9nO7sB5V9veD0BuShy3luawtiidVYVpJMZGhThSMd1J0RxptIbTu4xiuf4D47bupn82RpYnoVj2+zUnmntHbt/uO93BkNePxaQoy0/h69cXs7rIzkJHklx0hQDoqoc9z8CB541iedlXjPaPidmT8vKtPYOBuz/GaHJr7xBgTLn44rJcVhels3JWKjYpWESQ+P2ao43dgXnJTirqOvH6NdZoM6tmp/HQVQWsLU5nZppVpvqIKUWK5khyeg+8+wOo2wu2HLjpGSj70oS3pWruHmRPdRvlNU7eq3HidLkBKMxI4J7leawpsrNiVpq0mBJitO6zsOf/QsWvjU4YS78Ma/4WEnMm9GX73V4+PN1hFMnVTj5uMXZdTo2P5qpCO2sK7VxVZMeRHDehcYjppaVncGTKRXl1G539HgAWOBLZunYWa4rSWZqfIj32xZQmVUwkOPOeMWf5zB6wZcONPzKK5ajgL6Dz+Pwcb+qhoraTirouDtR3Ut9hLAayJxgX3dWFdlYX2clOkouuEJ/R3QDl/wQVvzLuDJXdb8xZTsoN+ktpranvGOBAfScVtZ0cqO/iWGMPXr8m2mJi+cxU7ihzsLrQzvzsROl1LoJm0ONj3+kO9lQbo8nDb87SbTGsm5vB1cXpXFVoxy5bpYswIkVzOKt939gZ7PRuSMiEjT+EpQ8GtVhu6RnkQF2gQK7r5PDZboa8fgAyE2Moy0vhgStnsmq2nblZNrnoCjGWniajWP7oP0H7Ycl9RrGcnBe0l+h3ezlU3x0okrs4WN85cufHGm1mcW4yW9fOYuWsNJYXpEoPWxE0WmuqW10jo8kfnmpnyOsn2mziioIU7iyby9ridOZm2WTKhQhbUjSHo7oPjWL51E6Iz4ANT8OyL0PU5Y3sDnl9HGvsoaKui4q6Tg7WddHQZYwiR5tNlDgSuW9lPmV5KSzJSyZHbt8KcWG9zVD+L7D/F+D3wpJ7Yc0TkJJ/Wb9Wa82Z9v7Am9pODtR1caK5F59fAzDLHs/a4vSRfJ2TaZN1BCKoOkf1TN5T7aS5x+iGVJiRwJYVeawtTmdlQRpx0fLmTEQGKZrDydn9xpzlk2+D1Q43PGUsGoq2XtKva+wa4ECgQD5Q18nRxh7cgVFkR3IcpXnJPLS6gCV5yZTkJMpuXkJcDFdroFh+DnweY+vrtU9AasGl/bohL4fru0YK5AP1XXT0GaPICTEWFs9I4rFrZlOWl0LpjGRS4qVtowguj8/PwfqukY1FDo/umVxodEJaU5wu8+FFxJKiearT2iiWd/0Qat4Eaxpc/z244mGIHl+bNp9fU9fRz8fNvVS19HK8qYcDdV0jowIxFhOLcpN4cNVMyvKSWZKXQmaibCgixCXpbYa9P4Y/Pwe+IVh0t1Esp80e149rrXG63FS19I7k7MH6LqpaegkMIlOYkcB1czMoyzdGkYsybNKzVgRdZ5+bg/XGG7RD9V1U1HbSG+iZXDojma9dV8yaYqMFoZx/YjqQonkq6qw15ikPf7iaIS4V1j8JV/zFmLv4aa1p6h7k45Zeqpp7jc8tvVS3uEbmIQPkpVpZXpA6UiDPy06UFctCXKrBHqjda7R6PL0bWo6CMsHCL8LVf3feYrl7wEN1S+85OesaGUEGSLFGscCRxIaSLMryUyjNTSbJKu3fRHANT887WN818jHcL9mkoDjTxi2lOawtsnPlbDtJcXIOiulHiuapwNUaKJADF93OM8bj8RlQsBZmXQ0ld0CMbeRHnK6hTxXGVS0uqpp76R3yjjwnKzGW4iwbX7oyjaJMG3MybRRlJmCNlv/tQlwyzwDUf2jk6qld0HgAtA8ssTBjBVz3HZh3G9gLR35kwO2jptU1kq/DI8hNgR0xAeKjzRRn2bhhfibFmTbmZNkozrRhT4iWhVMi6M44+0aK4wP1XRxv7MHt+2SRd+mMZO6+Io/SGcksyk2SbaqFQIrm0BjogjPln4wktx03Ho9NgplrYOVjUHA1/rRi2vrc1HX0U32wk6qWupGLbfuokahkaxRzMm3cUeb45GKbYZPRKCGCweeBhopP3tjW7zOmXZgs4FhqdMAoWAu5V9DtNdPQOcDJBhdVFR+P5GttRz86MLUi2mKiMD2BlbPSAvmaQHGmDUdynBTHYlIca+rhmmd2AhAXZWZhbhJfvmompTOSKc1LlnahQoxBiubJ4O6Dug8+GUluOgTaj46yMpSznNayW6mOX8oxnU991xANRwZo2N1EY9fpkXf+YIxEFWXaWD8vk+IsY+S4OCuB9IQYudgKESx+P7Qc+eRNbe1ecLvQKHwZC+ic/yXOJF5BpXk+Z1wmztb3c/bwAA2duz51p8dsUhTY45mfk8jtSxyBfLWRn2qVLhYipBJjo/jBHQspnZFMcWaCnI9CjJMUzRPB64aG/XhP7sRbs5Po5gpMfg8+ZeFMXAkfxW9hp3se77jyGPx4uCOFFzhJui2G3JQ4Yw7jgixyU6zkJsdRmJGAIzlO+iALEWxaQ3sN/pM7cdfsxFJXjmWoC4DWmHyORK+j3FzCG65CmuqsUDf8g3XYYiw4UuLITYljRUFq4L+tzEyLZ3ZGvHScEVNSbkocW1YErz+4ENPFhBfNSqlU4DngBsAJ/L3W+jcT/brBprVmsN9Fj7OBvvYG3F1NeLqb0K5WzH0tRA20ETfUToLHSaKvEzN+lFZ8rAvY69/IXn8JFbqYpOhkHInGhfXhZONi60iJw5EcR05ynGw2IEIuUnLW43HT42yir72Bgc5GI197WlB9LVj624gdchLvdmLzdRCrhzABTm1nr28xe/0lvO+fj9uUiSPByM+bUqw4RuVsbopVFkMJIcQ0MhkjzT8F3EAmUAq8ppQ6pLWunIgX01rj8Wk8Pj8enx+314/b58fj9eHxuPF4vHi8brweLx6PG6/Pi9ftxu1qx9vdDK4WTH2tRA+0ETfkJMHTTpKvg1TdiU0NcO5ML59WOEnCSQpOcyq9UfkMWNPoTF7AoGMldnsmpSlWNqXEkZUUS5TcBhNT36TlrNYan9/IWXcgXz2j8tXt8eD1evF6PXg9HtxeLz6PG/eAK1AEN2Pqa8Uy0EbsYBtWTztJ3g5S/J2k0EOa0qSd85pdOp42kmkzpXLKUkyf1U5P/Ex6sq8kIbMQR6qVx1Ks/O/kOFn8JIQQYsSEXhGUUvHAZmCB1toFlCulXgHuB755qb/30D+uJ2WoARN+lPZjxodp+DPGZzN+4vATj58o5bvo1+gnji5zKq6oVLri59Aal47PmomyZWBOzCI6OQdrag6JqZkkJ8SSKbdhRQSYiJz94DdPkV3zIibtMz7wY9JGjprwYcGPCT8x+IjDb3yt9EW9hgcLXaYUei2p9MU76I5dTI01A52QgcmWRXRyNnEpOcSn5ZCSaKMw2izrAIQQQlyUiR5GKQZ8WuuqUY8dAq4+94lKqa3AVoC8vPPPtRqwzcQblYBSZjBbQJnBZEGZjK9NJuNrk9mMMltQJgsmc+Aj8LjJHIXZYnw2mS1EJ6RhTc0mLjUHlZCJNSaBS9tnT4iwNq6cvZh8tSRm4LQWokxm9HCemixgMqMCXxt5anw2mcwocxQmkxmTJfDZbMFsCeSvxYIlNp64FAfxaTmYE7OJik0m3WQiPcgHQwghhBg20UVzAtB9zmPdgO3cJ2qtnwWeBVi2bNl5h5lW/tX/C1Z8QohPG1fOXky+Ltu0FTZtDWaMQgghxKSb6Am2LiDxnMcSgd4Jfl0hxKWRnBVCCCE+x0QXzVWARSlVNOqxxcCELAIUQlw2yVkhhBDic0xo0ay17gO2Ad9TSsUrpa4CbgN+PZGvK4S4NJKzQgghxOebjP5njwFxQCvwIvDoRLWbE0IEheSsEEIIcY4Jb0Kqte4Abp/o1xFCBIfkrBBCCPFZstOGEEIIEaaUUqlKqZeVUn1KqVql1JZQxyREpJLtroQQQojwNam77goxnclIsxBCCBGGRu3g+W2ttUtrXQ4M7+AphAgypfXFbVc7GZRSbUDtBZ5mB5yTEE64kuMztnA8Nvla6ym54Z3ka1DI8RlbOB6bSclXpdQSYK/WOm7UY08AV2utbznnuSO7eAILgKMTHd8UF47n1USQ42CYo7X+zMZ755qS0zPG88dGKbVfa71sMuIJR3J8xibHJrgkXy+fHJ+xybE5r0vadVeOqRyDYXIcDEqp/eN5nkzPEEIIIcKT7OApxCSSolkIIYQIT7KDpxCTKJyL5mdDHcAUJ8dnbHJsJp8c8/OT4zM2OTZjuIwdPOWYyjEYJsfBMK7jMCUXAgohhBDiwpRSqcAvgOuBduCbWuvfhDYqISKTFM1CCCGEEEJcQDhPzxBCCCGEEGJSSNEshBBCCCHEBYRd0ayUSlVKvayU6lNK1SqltoQ6pqlCKRWjlHoucFx6lVIHlFI3hjquqUYpVaSUGlRKPR/qWCKd5OvYJF/HR/I1OOR8MyilnldKNSmlepRSVUqph0MdUyhN9/xSSu0M/PtdgY+Pz/f8sCuagZ8CbiATuBf4N6VUSWhDmjIsQD1wNZAEfBv4nVJqZghjmop+Cvw51EFME5KvY5N8HR/J1+CQ883wNDBTa50I3Ao8pZRaGuKYQknyCx7XWicEPuac74lhVTQrpeKBzcC3tdYurXU58Apwf2gjmxq01n1a6ye11me01n6t9XbgNDCd/yB8ilLqbqALeDvUsUQ6ydfzk3y9MMnX4JHzzaC1rtRaDw1/GfiYHcKQQkby6+KFVdEMFAM+rXXVqMcOATJy9TmUUpkYx0wa3QNKqUTge8DXQx3LNCH5ehEkXz9N8nViTefzTSn1M6VUP3ACaAJeD3FIk07y61OeVko5lVLvKaWuOd8Tw61oTgC6z3msG7CFIJYpTSkVBbwA/FJrfSLU8UwR3wee01rXhzqQaULydZwkXz+X5OsEme7nm9b6MYy/Q2swNocZOv9PRCTJL8M3gFmAA2ODk1eVUmPeeQi3otkFJJ7zWCLQG4JYpiyllAljRyg38HiIw5kSlFKlwHrgn0MdyzQi+ToOkq+fJfk6ceR8M2itfYEpY7nAo6GOZzJJfn1Ca/2h1rpXaz2ktf4l8B5w01jPt0xeaEFRBViUUkVa6+rAY4uZhreXxqKUUsBzGAuvbtJae0Ic0lRxDTATqDMOEQmAWSk1X2tdFsK4Ipnk6wVIvo7pGiRfg07Ot89lYfrNab4Gya+xaECN9c2w2xFQKfVfGP+oh4FSjLlIq7TWciEGlFL/jnFc1mutXaGOZ6pQSln59KjnExh/NB7VWreFJKhpQPL1/CRfP5/k68SY7uebUioDuBbYDgxgjLZuA7Zorf8Qytgmk+SXQSmVDKwAdgFe4C6MKRplWuvPbT0XbiPNAI8BvwBagXaM/8lyAQaUUvnAIxjzs5oD7yABHtFavxCywKYArXU/0D/8tVLKBQxOpz8QISL5OgbJ17FJvgafnG+A8Qb+UeDfMaan1gJfm04FM0h+jRIFPAXMBXwYC0NvH6tghjAcaRZCCCGEEGKyhdtCQCGEEEIIISadFM1CCCGEEEJcgBTNQgghhBBCXIAUzUIIIYQQQlyAFM1CCCGEEEJcgBTNQgghhBBCXIAUzUIIIYQQQlyAFM1CCCGEEEJcwP8HsHZD+3jUDC8AAAAASUVORK5CYII=\n", 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1140,13 +1170,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Placement of ticks and custom tick labels" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "### Placement of ticks and custom tick labels\n", + "\n", "We can explicitly determine where we want the axis ticks with `set_xticks` and `set_yticks`, which both take a list of values for where on the axis the ticks are to be placed. We can also use the `set_xticklabels` and `set_yticklabels` methods to provide a list of custom text labels for each tick location:" ] }, @@ -1157,12 +1184,14 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1235,6 +1266,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Axis number and axis label spacing" ] }, @@ -1245,12 +1278,14 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1332,13 +1369,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Axis grid" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "### Axis grid\n", + "\n", "With the `grid` method in the axis object, we can turn on and off grid lines. We can also customize the appearance of the grid lines using the same keyword arguments as the `plot` function:" ] }, @@ -1349,12 +1383,14 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1374,13 +1410,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Axis spines" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "### Axis spines\n", + "\n", "We can also change the properties of axis spines:" ] }, @@ -1391,12 +1424,14 @@ "outputs": [ { "data": { - "image/png": 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ggg==\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1418,13 +1453,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Twin axes" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "### Twin axes\n", + "\n", "Sometimes it is useful to have dual x or y axes in a figure; for example, when plotting curves with different units together. Matplotlib supports this with the `twinx` and `twiny` functions:" ] }, @@ -1435,12 +1467,14 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1463,6 +1497,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Axes where x and y are zero" ] }, @@ -1473,12 +1509,14 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1502,13 +1540,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Other 2D plot styles" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "### Other 2D plot styles\n", + "\n", "In addition to the regular `plot` method, there are a number of other functions for generating different kind of plots. See the matplotlib plot gallery for a complete list of available plot types: http://matplotlib.org/gallery.html. Some of the more useful ones are show below:" ] }, @@ -1528,12 +1563,14 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1553,6 +1590,13 @@ "axes[3].set_title(\"fill_between\");" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Polar" + ] + }, { "cell_type": "code", "execution_count": 48, @@ -1560,12 +1604,14 @@ "outputs": [ { "data": { - "image/png": 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D9PR0bN26FcnJyWsiaq5FWhez2YyxsTHodDqkpaVh586dayJ1zMzMoKOjAwcPHsRyz8xms+GWW24x9PX1fX1ubu57q96ZdcTfFFnVavWH8/PzX/jd736nWE70DTilHzlyZFVfQCLC3NwcLl26BI/Hg507dyIzMxMSydruZLLWCdN0Oh0GBwcBALt27UJGRsaqDjp2ux1NTU3YvXs3cnNzI16r1Wrxvve9zz0wMPD5txNh3w4eTFFBpVK9b8eOHf/1xhtvKHp6epCUlBTWRBBYn05NTeG6665btXUZEUGv16O3txeJiYkoKChYdpa4WsAYC65jzWYzLl26hO7ubhQUFCA7O3tVSJuYmIjrrrsOLS0tsFgsKCoqCluv0WhEb28v/vSnP8Xdfvvt30xJSXG8bUTi9Tb0XokjPj7+XcXFxTMB7yKHw0FVVVW01PlBEARqa2uj8+fPr2rg9+zsLNXV1VFLSwvZbLZVq5cHV9opwm63U1tbG9XU1Fz2O68EgiBQR0cHNTc3X/aMDAYDVVZWBn9jq9VKhw8fnk1KSvoIbYD3cKXHundgzW8QOLRz5069Tqdb9GCXEtbn81FzczNdvHhx1aJjrFYrnTt3js6ePRtzUPZqYb08mCwWCzU1NVFDQ8Oq/gYDAwN09uzZoNfTUqIGYDKZaM+ePbNSqfQG2gDv40qOt/WalTGWmZmZeb6uri5n9+7L446dTifOnTuHkpISjIyMIDk5GYWFhStuVxAEDAwMQKvVYu/evVF55Kw1rmTe4HAwGAzo6OgImmJWQ3s8NDSEqakpFBYWoqOjA2VlZUhMTLzsuomJCZSVlekmJyfLiWh4xQ2vE962+7MyxuIyMjL++uKLL2aFIyoAKBQKHD16FE1NTYiLi1sVos7NzaG2thYAcOLEiQ1B1I2A1NRUnDhxAnFxcaitrYVOFy5Aig87duxASkoKzpw5g8OHD4clKgDk5ubit7/9rSYjI+MNxphqxQ2vE96WZGWMMY1G89JXv/rVgttuu030HgVBQEdHBwoKCmA0GjEzMxNzm4IgoKurCz09PThy5AgKCwvXXMN7tYExhl27dqG8vBxDQ0O4cOHCIv9lXhiNRkxPT6OkpAQdHR0R6yorK8NTTz21LSMj43fzuyRcdXhbisHp6elffuc73/m1l156KVlME0lEaG1tRVJSEgoKCoIicSxiq81mw/nz55GVlYXdu3dfMX9aQRCCib4Dh8vlgtvthtfrXXStxWIJmqBkMhnkcjkUCkXQZZHHdXE1QEQYHh7G6OgoDh06BN58VkajEW1tbUHRd2RkBNPT0zh69GjE3/9zn/uc5eWXX35ep9N9aaX3cKXxtiNrQkLCO0pKSl4+e/ZsWiSzy8WLF+Hz+bBv377gw42FsOPj4xgYGMCBAwfW3BQTyCkcSPjt8/mgUqmgUqmCZFMoFJDL5ZDJZIte2sCalYiCzvxOp3MR0S0WSzBPcVpaGtLT09dkR7tQmM1mtLa2Yvv27cjPz4+qzFKiBtDb2wun04nS0lJRwvp8Ptx8882GlpaWf7Rara+sxj1cKbytyMoY27l169Yzzc3NGo1GI3rd4OAg5ubmcOTIkcsearSEJSJ0d3fDYrHg8OHDaxJmRuR375uamgqu8TQaTTDhN0+b0SqYAjsAzM3NQa/Xw+fzISMjA1lZWavq/hgKr9eL9vZ2SKVS7N+/P+LyQYyogP/3am9vh0KhQFFRkWgdJpMJhw8fnh0cHLyZiNpX7UbWGG8bsjLGJBqNpvV///d/S8vLy0Wv02q1GBoaQnl5uajItxxhvV4vzp8/D5VKhZKSklV/gR0OB8bHxzE5OYnExERkZ2dDo9GsyEEjVm2wx+OBXq+HVquFxWJBdnY2tm7dKqrMiRVEhIGBAej1ehw9ejTsQBSJqKH1NDU1ISsrC9u2bRNtr7u7GydPnryk0+n20NWyEfR6245W60hLS/vK5z//eTNFgMViocrKSnK5XJEuIyJxxwm73U7V1dU0MjKybB08CM2GWFtbS0NDQ8STTXE5rIad1e1208jICNXV1dGZM2dIp9OtesbGyclJqqysJKvVuuh7MTtqOHg8Hqqqqlo2Wd2TTz5py8jI+HfaAO9vNMe6d2BVbgIo2LVrlz5SPt7AAzQajaLXLMVSwtpsNqqsrFx1j5yJiQmqqamhpqamNcvhtNpOEYFshVVVVTQ2NraqpDUYDFRRUUFmszn4OVqiBhDNwOz1emn//v0zAA7TBniPlzvWvQMrvgFAotFoLpw7d070oQiCENyighcBwo6OjlJlZeWqkkmn01FNTQ21tbWR3W5ftXrDYa08mBwOB3V0dFBVVRVptdpVI63JZKKKigoaGxvjJmoAWq2WGhoaIvapu7ubNBrNJcynLN3Ix1VpbwpFWlraV06dOrWjrKxM9JrBwUHExcVh69at3PUrFArs3bsXbW1tyM/PXxWNr9VqxZkzZzAyMoJDhw7hwIEDy8ZqblQoFArs27cPR48ehVarRUNDA8xm84rrVavVKCoqQmtrK4qLi2NaIweUYj09PaLXFBcX43Of+1xWenr6t1fS3yuC9R4tVnIAKNy1a9dMpA2dTCYTVVdXx+yYb7PZqKKigvR6fdg1LA98Ph/19PRQVVUVzc7OxlxPLLhSvsFGo5Fqamqoq6uLPB5PzPUERN+ZmZlFIjEvBEGgurq6iL+31+ul0tLSGQBHaAO812LHuncg5o77xd/2xsZG0Yfg8/mouro6Zgdyl8u1SPQVUzpFA4PBQFVVVdTX17eqET3R4ko68guCQIODg0Gy8WLpGjUgEse6VLBarVRZWRlx8LgaxOGrVgxOSEj46B133LHt6NGjotf09/cjKyuL2zsG8JtnGhsbUVJSEhR9FQoFysvL0dXVFbVrIhHh0qVLaG9vx5EjR1BQUPC2d0NkjGHHjh0oLy9HT08Penp6IAhCVGXDmWfUajVKS0vR2NgIt5vfyqJUKrF9+3Z0d3eLXlNcXIxPfepTmcnJyQ9wN3ClsN6jRSwHgLjMzMyxSIm1A+JYLLOYIAh09uxZUfNMtDOsy+WiM2fOUEdHx7rMpqFYrxA5QRCop6eH6urqlt09bzmt7+TkJNXV1cX8TOvr6yM+M7PZTNnZ2VMAVLQB3vOlx1U5xCcnJz9w7733pop5KRERLly4gAMHDsQ0i/X19SEpKUnUqB7NDGuxWNDQ0ID8/Hzs27fvisymRP68wnNzc5iamsLo6CiGhoYwNDQEl8uF0dFRTE1NYXZ2Fna7PTDwrSkYYygqKkJRURHOnDkDo9EY9rpoHB4CziFdXV0x9ePgwYPo7OwUdfhPSkrCl770peTExMSXGGPdjDEbY+wSY+wEd4NrgKvOg4kxpszOzr7U29ubKZYbaXh4GHa7HXv27OGuf3p6GpcuXcKxY8eWJZiYp5NOp8PFixdx+PDhmETwaEBEMBqNQT9hi8WfkD4hIQEJCQnBjPsBL62+vj7s2rUrmNzb4XDA4XAAAFQqVdCFMSUlZc0GFqvViubmZhQVFSE7Ozv4fTREDb3vpqYm5OTkIC8vL+K14TAwMABBEETDIV9//XXccccdgs/new+ANwBkz7c7wd3YamO9p3beIz09/ZtPP/20qDzldrupoqIiJu8fq9VKFRUVFEm7vBRLReLx8XGqqanhqiNaeDweGh8fp+bmZnrrrbeopaWFhoaGyGg0LisaionBgiCQyWSi4eFhOn/+PFVUVFBjYyONjo6uqgdVAG63m+rr62loaIiIYnN4cLvdVFlZGZPi0OfzUWVlpaiy6tprr6VPfvKT3szMzP+hDfC+hx5X1czKGNuydevW7v7+/oz4+Piw13R2dkKtVkf0Cw0HQRBQX1+PvXv3RpUFPhSBGTYjIwMGgwFlZWWr6tg/NzeHkZERGI1GZGVlITs7mztlabS+wUQEi8UCrVYLrVYbXA6kp6evmg+0z+dDU1MTkpKSoNfro5pRlyIQrXP8+HHusL6pqSlMTk7i8OHFOz/6fD4kJCTg9OnTePzxx31er1cP4FUAXyIiB1cja4Cras2q0Wj+9cknn0wRI6rFYoHBYIjJ+WFgYAAZGRncRAX8a9jc3FwMDQ1h9+7dq0JUIsLExARqa2sxODiIrVu34uTJkygpKVmz6BfAv7YLOCTceOON2LlzJ8bGxlBbW4uxsbGotbqRIJVKUVhYiOHhYWg0mpgcHtRqNfLy8iI6PIghMzMTLpcLc3Nzi76fnp6Gx+PBb37zG/zoRz9iGRkZrfBvL/oIdyNrgfWe2qM9AGTu2rVLH0ncO3fuXEx2vZU6TkxMTFBdXR1ZrdYVO04IgkBarZaqqqqovb191bIhrlQb7HA4qKuriyorK2l8fHxFboUB0ddisdDZs2dpeHg4pnqicXggIrrxxhspPj6elEolKZVKKiwsJJPJRHV1dYuum5ubIwD0wgsvkCAIdODAAT2ABwC00gbgwFUzs6anp3/xq1/9aoqY8sNsNsPn82HLli1c9QqCgLa2Nhw8eDAmxcrMzAwGBgZQVlYGpVLJbYcNhcViwZkzZ6DValFWVob9+/eveiharFAoFNizZw+OHTuG2dlZ1NXVwWQycdcTqkxSqVQ4cuQIxsbGMDU1xV1XQMPb3t5+WWaMpXjuuedgtVphtVrR29sLtVqN+Pj4Rc8pNTUVeXl5YIyBMYbTp0+nJSUl3cXdsTXCVUFWxli8TCb7xKlTp0STkge2NOTF0NAQNBpNTFpbi8WCzs7ORfGXsThOCIKAnp4etLa2oqSkBIcOHdqwvsIKhQKlpaU4cOAAOjo6IppCliKc1lcmk6GsrAy9vb0wGAzc/VEqldi2bRv6+/u5yxYWFqKvr2/Rd//wD/+A7373u9DpdDh+/LjE5XIdB/BX7srXAFcFWRUKxUc//vGPK8VSjFgsFrhcLu5ZNWB7LCgo4O6Tx+PB+fPnw26YxENYq9WK+vp6SKVSHD9+/KrJ0q9Wq3H99ddDqVSirq5uWef9SOaZuLg4XHPNNbhw4QJcLhd3X/Lz86HT6WC320Wv+epXv4r09HRcf/31qKqqCt6DTCZbtHZ99NFHcfToURQWFmLfvn04cuSIRK1W84sQa4H1lsOjObKysnomJiZE1yTNzc20NIl3NGhra6NI9YpBEARqbGyksbGxiNct5+k0MTGx6mF3YlhLDyaTyURVVVWia89ozTNTU1PLhrSJQafTkZif+NmzZ8lsNpPT6aQXXniBVCoVDQwMBPt25swZ0XqNRiNpNJoxzPskrOex4WdWxlhpSUnJlpycnLDnHQ4H7HY7d0ZCk8kEq9W6yDgfLQYHBxEfH7+sUV5shiUi9Pb2YnR0FNdff/1VM5uKQa1W4/jx49Dr9ejs7AwoBAHwOTxkZmYiNTUVvb29UbXb398PhUKBu+++GxkZGSCisJJMeXk5kpKSEB8fj3vuuQfXX389Xn/9dQBASkoKiEhUMkhOTsbJkycTAZyMqlNriA1P1qysrIcffvhhUSaOjo5i+/bt3KaM7u5u7N27l7ucxWLB+Pg49u7dG9X1SwkrCAJaW1vhdrtRXl6+JonW1gNSqRRHjhyBTCZDY2MjfD4fF1EDKCoqwszMTFTr1wceeAChgRx79+5Fd3f3osEiHBhji67ZsWMHRkZGRK//whe+kJaTk/OVKLq/ptjQZGWMJUil0ne9853vDHteEARMTk4uuwXgUhiNRjDGkJKSwlUuoDk+cOAAlyE+QNjOzk40NDRApVJh//79Vyy/8JUCYwzFxcXQaDSor69Ha2srt8NDqIY3kuLqlVdeQUpKCm655Zbgd4F0rHq9Pvid0WjEX/7yFzidTni9XvzsZz9DTU0NQt8pjUaDmZkZ0fbKysqQkJBwmDHGpxRZZWzoLR8ZY+/96Ec/miBGDJ1Oh/T0dG4Plt7e3pg0x5cuXUJGRgY3yQEgPj4eCoUCJpMpJseL5eDxeDA7OwuLxRI0UYS+fBaLBVVVVZBKpVAqlVCpVEhKSsKWLVtWbVvLAFJTU9Hf34+EhASIObBEgkqlCjo8hJNgzGYzHnvsMbz11lv44Q9/uOhcQUEB2tvbEQjy8Hg8eOSRR9DT0wOpVIri4mK89tpri1KVSiQS5OTkYGJiIqznG2OZwbv2AAAgAElEQVQMn/nMZ9SPPfbYRwD8J/cNrRI2NFlzcnL+4cMf/rDo3iTDw8NRi6MBmM1mCILAvU50OByYmJjADTfcwFUOWIgCSk1NxcGDB7kTidtswMAAoNUCej3gcgFeLyCXO+F2zyA+XofsbAe2bUtBcnIyMjIyoFKpIJVKg7N3wN3Q6/XCZrPBarXCaDRiYGAARISMjAzk5eWteOPogOh7/PhxTE9P4/z587jmmmu4pYidO3eirq5u0U4CATz66KO49957w3qqBdamgd3kMzIy0NTUtGx727ZtQ3Nzs6ib6p133hn/zDPP3INNsl4OxpgsJyfnyFL/zQAcDge8Xi/3yzUwMBCTqebixYsoLi6OOeROIpGgsLAQjDGUl5dHJOzQEPCXvwA1NcC5c/7P4ZdhCgB58wewcydQXg684x3Au98NZGZeXkImkyE5ORnJycnB5YPH44FOp0NXVxe8Xi+2bduGvLw87ntdukbdsWMHnE4nOjs7sX///ohl7777brz11luw2WzIysrCl7/8Zdx5553o6urCsWPHgte1tbXhzTffRGtrq2hdhYWFuHjxIpfSMRCpFG5wAPyDh0KhyGeMKYnIFnXFq4n1VkeLHQBu+NjHPibqR3bp0qWg+j1auFwuqqqq4jYNzM7OxmxSEMuwt9SsMzVF9O1vEx08SOSn5soOiYTo3e8m+u1viXy+6E03drs96FY4Ojoa9T2LmWcCZq7lMkt2dnYGI5W6u7spMzOTmpubqbm5maampoLXPfPMM5SYmEiZmZmUmZlJSqWSFAoFHTp0aFF9dXV13K6ao6Oj1NPTI3r+C1/4ghnA+2m9OLFeDS93ZGVlPf+HP/xB9Ierq6vjzskzMDBAly5d4ipDRFRfXx9TOFYg949YuJzD4aAf/aiR7rzTQXK5OPGkUoG2brVTebmZPvQhD33yk0Sf+hTRxz5G9M53EhUXU8TyhYVEjz3WSTxjjdPppI6ODqqpqVk21/JydlS3201VVVVR/4Y9PT2UlZVFv/jFL8hms1F1dXVw0LDZbKTVaoPHF7/4Rbrrrrsus7OPjY3RxYsXo2pvaT/FcObMGcrNzX2NNsm6+MjMzBwXI6PT6aSamhrRHzUcBEGgyspK7hjN2dlZipSTOFJ7tbW1ok7mAwNEf/d34ckVF0d0++1ETz8t0G9+M0J//Wv1so4TTidRUxPRd75DdPx4+HpvuIGor4/vPkwmE9XU1NDFixfDBjpE6/AQcJyIFCzx2c9+lhISEggAHTp0iCwWCxERtba2klarDVvm8ccfp1OnTl32vdfrpYqKCu7gjDNnzly2G0AAPp+PsrOzpwFIaZOs850Cim688UZRl6Th4WHq7+8XOx0Wer2ezp8/z1WGyP/wltuGIRz6+/upq6vrsu8dDqKvfc1PyKVkOnrUTS+8QGQy+Uf5c+fOUWdnZ0zRQENDRF/5ClFy8uI2EhKIfvITvroCeZTq6+sXZbjnDRzv7+9fdrbzer1UW1tL3/jGN4IDq9VqpZqaGu5lSEdHB7eH2vDwMPVFGNE++MEPzgC4ljbJ6j+Sk5O//oMf/MAr9oNFGv3E0NbWRpESrIWD0WiM6IomhkConNe7+BYaG4lKSi4n6fvfT1RX5wyuYW02W3BbipVibo7oi18kkkiERW0+/DBxicVE/vV3ZWUlmc3miER1Op30yU9+krZt20YqlYoOHjxIr7/+elDaiGYLk/vvv5+effbZ4OeWlhbu0EODwUBNTU1cZVwuV0Sp7bXXXiONRvMftElW/5GTk9M2OTkZ9scKpOXggSAI9NZbb3HPUG1tbYuUG9GisbFx0RpKEIiefZZIJltM0vJyolAJ2+FwUEVFBb3xxhurngT8+99vumyguO8+fsKaTCZ644036M033xSdUa1WKz3++OM0NDREPp+Pfv/735NKpaKhoSEyGAxUV1e37Cx577330kMPPRT8PDc3x008QRCooqLiskFzOVRXV4sul6xWK2VlZQ3SOvBiw3kwMT+yxXx2jUYjkpOTueqcm5tDamoqlynC6/Vibm4OkfZ5DYeZmRkQ+e2WgN8m+olPAJ/7nN82CgBKJfC97wENDUDorh+Bh8IYW5WMDKEoKLCisRF43/sWvvv+94FHOHMgCIIQtJmKefwolUqcPn0a+fn5kEgkeO9734sdO3agpaUFKSkpUCqV0Gq1wet1Oh1eeeWVoCPHX/7yF7z88su4+eabg9ekpKTAbrdzReUwxqDRaBZ5NEWDLVu2XJZFIvTelEqlijG2trtMh8N6jBCRDgC7Tp48KSqv9vX1cW8w1dHRwT1DDg8PU29vL1cZIr+WOqAYMZmIbr558Wx2zTVE4RTSHo+HqquraXZ2dkWZ/8UQkEY8HqK7717cp1/9Kro6QkVfk8kU9faZU1NTFB8fT93d3US0YLYKzK46nY5uuOEGSk5OpqSkJNq3bx99//vfv6yeoaGhiOvJcJidnaWWlhauMlNTU9TZ2Sl6/kMf+pAeQBldaW5c6QaX7RDwoccee0zUJtPQ0MBtP6usrOQWhWIxDen1empubiYiIoPBT8xQUtx7r1/BtBSBXe5Ck4qvNmFDlw4eD9F73rPQr9RUIhFlaxDf+c53qLCwkOLi4uiee+4hIn/S7YaGhojLC7fbTbfccgvdd999i76/cOECt/JnOdNKOAREYR7llNvtpurqatHzzz33nEehUDxIV5gbG04Mzs7OvunYsWNh0yQIggCn08nlGO50Ohflz40GLpcLgiBwZ2vo7+9HQUEBrFbgPe8BmpsXzn3zm8APfgCEi58fHh5GXFzcIle3WDJOBEBEsNlswUTfg4ODcLvdmJqagtVqhVRK+NnPgO3b/dcbDMA//7N4fUajEU6nE0888QQ++clPBr/Pzs4O+gGHgyAI+PjHP464uDg899xzi84VFBTg0qVLXPcll8sRHx8Pq9UadRnGGFQqFVeZQCSUx+MJe/7o0aOy9PT0m8OeXENsOLIyxq47cuRI2HNWq5XbvXB2dpY71nVqaoo7ztVms4GIkJioxgc/CJw5s3Duv/8b+NrXgHDusXa7HSMjI2ETkvMQlogwPT2NlpYWVFVVoaurC3Nzc/B6vZBKpSAiGAwGdHd3o6qqCv39Tfj2t2eD5X/6UyDcVjABF8KHH34YH/7why/LxlFYWIjp6enL4kGJCPfeey+mp6fx6quvXhYKmJCQAIVCIZqhXwzZ2dmL1rvRYMuWLdwDXkpKimiOqdLSUni93oNcFa4CNhRZmV9zkSWm1DGbzdy5kgIO3TzQarXcZB0eHsb27dvx8MPAn/+88P2zzwL33y9err29Hfv27YNMFt5NeznCEhFGR0dRXV2N6elp7Nq1CydPnkRZWRn27NmDnTt3Yvv27YiPj0dJSQmOHj2KkydPoqioCPv3T6G8fHa+Hn9fQxFNPKpEIkFpaSna29sDyxgAwGc/+1l0d3fj97//vaiEkp+fj+HhYfEfJwyys7O5k6ulp6djdnZ2+QtDoFarRQPSFQoFEhMTlYwx/pCiFWBDkRVA/q5du0RPxkJWg8HAFdImCAIcDgeUSmXUZYgIOp0Ob76ZveiF//rXgYceEi+n1+shk8mWHUzECBvI32Q2m3HttdeitLQ0qpzCgdzAe/fuxbe+taBZf/llQkDZyhM4npKSArVaHZzxRkZG8Pzzz6OtrQ1ZWVlQqVRQqVT42c9+tqhceno6DAZD1AnXAH++JiISFVHDISkpKbi9SLRQq9URyxw6dEgCIHJ0wipjo5H18IkTJ0RZwktWn88HxhjXetVkMnHHq87NzcFs1uDBBxd+zrvuAp54QrwMkT+1S2hcZSQsJezU1BSam5uxd+9e7Nu3L6a40bm5OfzHf3wQjA0BAMxmht/+Vh9ThoeCggL09/eDiLB9+3YQEZxOZzC21mq14tSpU4vKrIVpJRwYY4iLi+My+yQlJUVMAnfjjTemyOXya6KucBWwociqVCp3FxcXi5LV4XBwKX3Ewp0iYWZmhjtL4vi4Fk884VcsAUBBAfDCC0Aks+7MzAwSEhK4+hcgbGtrK7q7u3HdddetKH/TAw88gPj4ONx770IuqT/+0Yhz585xZ3hISEhAWloa93oyOzsbk5OTXGW2bNnCLdYmJycvm4ExFHK5HF6vd5FoH4pdu3bJ0tLSSrg6sUJsKLImJyfvElsrer1eyGQyriDmWMVm3kwOP/pRPM6f92dbkMuBV14BVKIh836MjIxg586dXO0A/nuKj48HY4zr5VsKm82GV199Fd/4xjdw7NiC8qe2dgYqleqyHEherxdOpxM+nw8+ny+YJiUUO3bs4F6DpqamwmQyiZIiHNLS0rhmVmD5mTIcEhIS4HQ6w57Lzs5GXFxcPleFK8SGIqtMJtsuRlan0wmxvMFisFgs3GS12+1c69WhIRf+5392BD8/8gggEi8fhNvths1m4xa37XY7Ll68iPLychw7dizmzP+APyA+sOdMaMIFqzUBZWVlGBgYWPRyP/nkk0hISMC3v/1tvPTSS0hISMCTTz65qE6VSgUiipi/dykYY1AqlVymlbi4OHg8Hi6CR1IYiSEhISG4LeZSZGdng4j4kn+tEBuKrF6vN1cs5ajT6eS2e1qtVqiWm+IWtw+JRMI1ez/6qBd2u1+TW1QEfCWKHHiBJG887RD5U8Ps378/mM9pJVt1WK3WoNumx7OgSPF6GeRyOQ4ePIgLFy4ECXH69OnLjPSnT5++rN68vDyMj49z9SUWba1CoRCd9cIhKSmJa0BYro2MjAx4PJ4MrgpXiA1FVkEQksVmG4fDwT2z8s7GvDNxXx/wyisL67pnnwWi0fPodDpkhsu5EgFTU1NQKBSL1tMrIaxKpYLZbIbRaMT58wtpOOPj3QD8a7y0tDSMjY1x1ZuZmcmtMIpk0xTDctrapZDJZFxaZyAyWaVSKWQy2epmmlsGG4qscrlcLjbbxCIGExGX877dbudSqjz5JODz+ft7883+3EfR9Mlms3HN+ESE/v7+sJrjWAlbWFgIr9eLP/zhD/B6FzI95uUtmEQKCgowODjIJW4qFAp4vd5lN4oKRSzrSaVSCZuNPxUSz71EEoMBQKFQSBljVyyP2YYhK2MsQalUivaHl6yh0SHRgkfUnpgAXn554fOTT4b3UFqKgNKLp29GoxGJiYmiA0kshPV4PDh+/Dh+97vf4Y03Fkxbd9214PIYFxeH1NRU7pkyNTWVa5Op5TSv4cArBgfacbvdq9ZGVlYWAeATkVaAqMjKGHuQMdbMGHMxxl5Ycu5DjLFuxpiFMXaRMfb+Jef/iTE2xRgzMcZ+FOr1wRh7L2NshDHWCKAsNzdX9Gl5PB6u/LYul4vb9sgjav/nfy6EvB0/Dlx7bXRtxGJOmpiYiHmrjnAI2FF/+tOfQq/Pw5kzfrJKJAI+/enF7WzdupV7DapWq7nXhwHCRotImtrVKiOXyyM6X2zdulUCIKKrG2MsjTH2W8aYbf5d/9j894wx9jxjbJoxFlV602hn1kkATwL40ZKO5AJ4CcAXAKgBfAnAzxljmvnz7wTwzwBuAZAPYCeAfwmp4jEARwH8E4AvZ2RkiPbH5/NxibQej4d7awqXyxUVWb1e4Mc/Xvj8T/8UfRtr6d8cSli9Xo+RkRHU1taiqqoKVqsVg4ODMBgMQYeHrKw8eL3PBMvfeacEGUtUJrGYVmLxGFpO5FyKWGZWmUzGNSBIpdKI61yNRiMHsJyd7z8BuOGfgU8B+B5jbC+AW+fP5wKQMcZuESkfRFRvPxH9hoheA7BUZZcHwEhEf5qPHvojABuAgM/gPQB+SERdRGQA8A0Afx9SXgZAOv9XFhcXJyob+nw+Lk8kQRC4894GbLnL4c03gYB76pYtHtxxR/Rt2Gw2LtNQwAsrmn4B/pe4rKwMTU1NmJ6eRllZGU6ePAmlUgmTyYSGhgYcPXoUcXGJuO8+oL7eX04qBcIod8EYg0Kh4PL+iWU9GR8fz9WGVCrlIl6gDI+SSSqVRkwCMP++ij4YxpgSwF0AHiUiKxHVAfhfAB+H/72XLPkbEStdszYD6GaM3cEYk86LwC4A7fPn9wK4EHL9BQCZIXuGfAtAE4BnALwgl8tXjay81/OUeemlhf/f8x4jouQRAP+AwDPj85Ib8Dt2aDQaOByO4AwnCAJMJhNyc/Pwpz9ZcPLkYung8ccBsc0NYgkx4yUSr7aWl3ixlJFIJMHrZ2b8kVShP4NcLpcgcqL8QgA+IgrdsfkC/Lz4K4A4AIE1xhvL9WdFmiwi8jHGfgrg5/Cnh3cD+CAtZCxXAQjVyQf+TwIwS0S/BvBrAGCMnYxEVkEQrghZl5uNvV5gfrdAAMD/+T9mANGb2zweT9SzJOB3oODdi2ZiYgJFRUWIi4vDuXPnkJubOx+ccCs+8pE49PYuvse//3t/0IEY4uLiuBQzoS/5WpWJZVMviUTClS4ntI2//hU4dcqvRPzUp/wpcaIg69L3H/Ofk4hIgF/yjBorIitj7FYA/x/8e1eeB3AEwP8yxt5NRG0ArPCvZQMI/B9uQSM1mUzKwK7US2G1WlFTUxP1Q/J4PPD5fFyaTKvVitra2ohtdHSoYTD4XZS2bHFCpepHVVX0tkir1Yq6ujru++BxGgg4zjPG4PF40NXVBQDQ6VrR17ewFYVEQrjnnmHcffcIamoi1yeRSNDX1yd+0RKYTCaIPctIbYgFsq93G7///U4A20AEOBwjqKoawo9//ONEAO8C8BuxJrH4/cf8Z74FfQA8aSXgVzK9EPL5YQC/XXLNawAenv//5wC+GXLuZgBTInXfeP/994tmsq6pqSGPxyN2+jLodDrq6OiI+noiotra2mXbePTRhXQod99t526jrq4uqrxFAczMzFB7eztXGy0tLTQ7OxvMmTQ3N0e///3vSa/X0y23eCgx0Uv33ksUYaeIReju7iaxbJPhEEiozoPe3l7uNC+xtDE+Ph5TG+94x8Jz/+Uv/ecee+wxG4APkDhflPBLmwUh3/0UwLfFykQ6ojXdyOazuUkBSBljinljcBOAE4yxg/PXHQJwAgtr1p8CuJcxtocxlgrgEQAviDTjdbvdoirHWJQDayGKhWaAuPFGH3cbvBrJ+Ph4bq1nfn4+Ojo6gvujpqamIjExEZ2dnbjvvlZ0dMzgf/7H7x4ZDXjNYD6fj0vUD5ThUQgSEbcozLs0ohAN+IUQzcuBA/6/brdbACD6MMm/HPwNgCcYY0rG2PUA3gfgRa6OzyPaX+cRAA74zTB3z///CBFVAzgN4NeMMQuAVwF8i4j+Ot/ZP8MvJlcCGJk/Hhdpw+v1eiOSlWe9wbs+iaYNQQAaGxc+l5cTtyKFd/2XmJjIrVmVSCRwOp2QSqWwWq1wOBwQBAFyuRxq9SzUar61PK9t2O12c5vNotXEBxCLTiJWvcfUFDA97f9OqQQC+RE8Hk9Ess7jHwEkANABeBnAZ4moi6vj84jq1yGi0/CTMty55wA8F+7c/PmnATwdRTNup9MpypQrMbMGjOBiXkwDA0DAK06jAQoL49HczDfrBcwa0UbcSCQSyGSyqBVNAYeHEydOwO12BxOmeTweHD58GImJiVz7w/p8Pm4NNm8ABcDvocarqANityiEzqr79/vNXADgcrmWJSsRzQF4f6RrosWGcTcEMDM1NSU6s/JqC5fzPgkHhUIR0TDf27vw//79QFwcfxuxOAxkZGRgOjC0R8DSDA8pKSkoLS3FsWPHgsHhvK6JsQTjWywWbrLyJhaIxVecd8YPzMShWSoDIjAATE5OeuCfMa8INhJZp7VaregihFd85DWyA8t7xYQqEQsKFlT7oWub5ZCUlMQdYZKXl7ds9AtPKhYewo6OjobdYTwSzGYzt5cW76zHS26An+AulwtxcXEIVThfd93C/2NjYwIAvtQYK8CGISsRuZ1Op+jUyeuOFosdbjmyDg4u/L97t/8vb+C0UqmE3W7nIrhSqYREIhFN2xlLzqRoCGu1WuFyubi2KyEiGI1GrsD6ACl4EMvMyivOO51OSCQJQS8vADh5cuF/vV4vARBb9H8M2DBkBQCPx+MRU/DE4gvKKzov56kTarINJLTgzUDAGENKSgpXVAoAFBUVobu7+zKSx0LUAJYjbE9PDwoLC7kGPpvNhsTERC7Nbizpd6xWK3cGSl44nU709qoRmCN27gRC8rDD7XZ7ye/ccEWwocgql8tnxEb5WMjKOxsvR9bQrgV0M7EQT6PRcOe+DZhfQsXhlRA1ADHCTk1NgYi4N+aampriLsObLhbgTxQQS2CHw+FAc/OCOH/TTQvn3G43BEHgeyFXiA1FVolEMimW6Y6XeICffDzKnMBsIDa7h3IykFQwluRdWVlZmJ6e5h7t9+zZg8HBwWCGh5USNYClhLXZbOju7sb+/XxpcYkI4+PjyM3lS03Em4idiLjdMGMJTXQ6naitXVgXh5J1enoacrl8ea3fKmJDkdXtdg+LpbKMZWaNJUlWJIKHmlQD74lcLg+69UULqVSKLVu2QKfjUyTK5XIcOXIETU1NOH/+/KoQNYAAYTs6OnD27FkcPHiQe01oNBqhUqm4SCQIAtxu95prgmMRtcfGPDh3LhDrC9x228I5rVYLIuIL9F0hNhRZDQbDgBhZJRJJqBtXVIiFrGlpaaJ+uKHL31DFpUajicq0Eor8/HzujZn8ffB3gjiz0keDgIMHEXHbqAHg0qVL2LFjx/IXhkCv13ObhmZnZ7nTxcZC1oqKZBD51+s33OC3rQeg1WrhcrmGuCpcITYUWV0uV197e7sou2LRvPJ6/0TKtCc2TsSSqFqtVkMul3M56AdE32uvvRZlZWVobW3FyMhITMqTUBARJiYm0NzcjMOHD+P48ePcOZ3MZjPcbjc38SYnJyGW0VIMsWw2xmtOcrlcqK9fyNhy112Lz1+8eNE5MzPTwdWJFWJDkRVAS11dnaisy5vRTiKRQCKRcM1AASVTOAKEKh9Dxwy1Wg273c490xUVFaGnpycqsi1doyYlJeH48eMwm81oaGjgXjeH1nvu3DnodDpcd911SE5OjimnU3d3N4qLi7naFgQBRqORe5Y0GAxcOxEIggCfz8elYBoetqC1dcFk9YEPLD5fXV1tIaKWqCtcBWwoshLR9MTEhCD28sYi1sayL4parQ7ruBBqblx6OpZ8uWq1GiqVKmaHB5lMhv3792P//v0YGBhAbW0thoeHl1XEOZ1OjI6Oor6+Hj09PSgqKsKhQ4cWrTV5CKvVaiGVSrlJp9VqkZmZyWUastvtiI+P5zINGY1GLlsxAPziFxTMXHnsGLBUZ3bx4kUC0Ht5ybXDFUujGC1kMtnw8PBwVri1j1qtxujoKFd96enpmJmZ4crTGxBrl5oTQj8utdZs3boVZ8+eRX5+PtfLt2fPHtTV1UGj0YRVmkSj9VWr1SgrK4PD4cDExATa2trgdDoRHx+P+Ph4yGQy2O12nDlzBi6XC3K5HBqNBocOHYqooAoQNpIvscfjQU9PD64Lde2JEsPDwzh4kG+b08nJSe7tOPm1zcDPf74gRi3ZTwsmkwler9dARPwL+xVgw5HV4XBUt7S0HAtH1kAECk94VFpaGnp7+QZAjUaDvr4+lJSULGondHRdOhnGx8cjKSkJMzMzyFiadSwC5HI59uzZg9bWVhw7dmxRe7zmmYSEBOzevRu7d+8GEcHlcsHtdsPr9WJmZiao4eUZTCIRluZ3CSgoKODOJGkymSCVSrlT1kxNTeHo0aNcZWZnZ7kGhZYWoLfX/3srFMDddy8+f/78eTDGznF1YhWwocRgAJidna2tr68PK+syxrgd4Zfbcj4cZDIZEhMTL2snP3/h/6EwesDAtoe8yMzMRGpqKi5evBj8bqV21ECiM7VajbS0NEilUiQkJMTshhlOJB4YGEBcXNyyaVLDobe3F4WFhctfGAKHwwHGGNfAIAgCXC4Xl2noe99bsNF96EOLJSoAOHfunEur1b4VdYWrhA1HVgAt9fX1okqmWPZFyczM5PYY2rp162UidyhZQ/2EA0hKSuLW8AZQVFQEm82G0dHRVXV4WC0sJaxWq4Ver8e+ffu46zKbzfB6vdxr3NHRUe6Bgdc0ZDYDr7yyQIv77rv8mtraWvOVVi4BG5CsRDQ1Pj4uqmTasmUL974u2dnZ3PuGBvZsCbU3loTsxhka4xiK4uJiXLx4kducwhjD4cOHMTQ0hMbGxg1F1AAChG1ra0N3dzeuueYa7nSvRISuri6UlPBtbUpEwQ29eMBrGnr+ecBu999TScniKJsAOjs7r7hyCdiAZAUAiURySUycDOwGxuscYbfbubI6SCSSy+ynBQUL5pupKSAc/5OSkpCamsq9oRPgd04XBAEJCQncW1ZcKczNzQW9tmLZH3Z6ehrx8fHcm0DrdDps2bKFK+Cc1zTkdAJPh6RJ+Kd/unxLFL1eD4/HM0NEfClCVgEbkqyzs7Mvvfbaa2GDUSOZViIhMzOT28to+/btGBoaCg4MUikQqqdoagpfrqioCJcuXeKKpw2IvuXl5bj22muh0+nQ2dnJnZpmrUBE6O3txcjICK677jpce+213I4TXq8XPT093LMqAAwODiI/dB0SBQKeTtGu03/yk4Xk7Tk5wCc+cfk1f/zjH31Op/OXXB1ZJWxIsjqdzt+9/PLLosN2LB5Dubm53HbQhIQEJCUlLfLhLS9fOC+WBVMul6O4uBgdHdE5uCxdo8pkMlxzzTWQy+U4e/YsdwDDasPlcqGxsRFerxfHjh2DXC6PyXGiq6sLO3bs4A4aNxgMkEgkMfj2jkUtNnu9wHe+s/D5i18Mv33niy++OGcwGDbJGgARaaempkxizgwajQY6nY5bFPZ4PNwvfkDDG2jr1lsXzr35pni57OxsMMaWHSDElEmMMRQVFaGgoADnzp3D8PDwit0KeRGIomloaMC2bduwd3JlU2oAACAASURBVO/eRbMUD2F1Oh0cDge2hQaERom+vr6w211Ggtvthtlsjlq59NJLCxr+tDQKq1hyOp3o6upyA+jh6swqYUOSFQA8Hs+vXn/99bAyoJhpZTls374dIyMjy18YApVKtWgNecMNQMBrraMj/Lo1gNLSUgwMDIj2Mxqtb0ZGBo4fPw6LxYK6ujruQSpWzM7OoqGhATMzMzh+/LioI0I0hLXb7ejq6sLBgwe5TUdGoxFExB3vOjY2hq1bt0bVnt2+eEeCz3+eIVwKqaqqKjDG/kJXetQMIJZkw1fiAFD6rne9S08iGBsbo+7ubrHTYeH1eqmiooJ8Ph9XOavVSlVVVcFyN920kPD5u9+NXNZkMlFlZSW53e5F3wcScNtsNq5+tLS0UG1tLU1MTHDdRzQJsX0+H2m1WmpoaKDGxkYymUxR1+9wOKiqqor0+sWPzOv1Uk1NDc3OzkZdVwCCIFBtbS0ZjUbucpWVlVEnU3/iiYXnmZHhIYsl/HX33HPPHICTtE6c2LAzK4CO1tZWj1iStIDtlDgGOalUCo1Gw23GUSqV0Gg0wVn5gx9cOPeLX0Quq1arUVhYiKampqAZKFY7qlKpxOHDh3Hw4EEYDAZUV1ejo6PjMhMTDwRBwMzMDLq6ulBdXQ29Xo+9e/fi6NGjXGvEcDMsEaGlpQXbtm3jtqkCfrNLUlISt1+vXq9HcnJyVHG1Wu3iterp00LYWZWI8Oabb3oA1F9+9spgw7kbBkBElJubW1FTU3Pq1tCF4jz8CavV3OFSO3fuRGNjI3JycrhEsoKCAtTW1iI3Nxd33RWHBx/0J/2uq/O7HkZKAJiTkwOn04nW1lbs2rULFy5cWJEdVaVSYe/evSgpKYFer4dWq0VXVxfkcjmSk5OhUqmgUqkgl8shk8kgk8kgCEIwjM1ms8FqtcJsNsPlciE1NRUajQbFxcXcibNDEeqauGfPHkxOTiI5ORnbt2/nrsvr9aKvry8mn+P+/n6UlpZGde0jjwCBKMpdu+y4//7wz6StrQ2MsTYiWt0gYg5sWLICwOTk5Asvvvji7bfeemvYBUt+fj6Ghoa4yJqQkICUlBRMTU1xOYTLZDIUFhaio6MDR44cwS23AG/Mb9L3gx8ATzwRufzOnTthNptx5swZ3HDDDavi8CCRSJCZmRkMUnA6nbBYLLBardBqtfB4PPB6vfD5fHA4HBgYGIBcLodSqURGRgZ27tzJrZldDoH9YauqqrBly5aoSbMU3d3dyM/P5/Y5np2dDfppL4eqKuBHIduDf+MbTkil4Z/Lyy+/bNVqtT8Oe/JKYb3k72gOANLMzMxJsXWdIAhUVVVFTqcz/CJDBDabjaqrq0kQBK5yRESNjY00OTlJv/rVwjonM5NoueVRYI3a2dlJjY2N3OvmlYJ3E6dYIQgCtba2UltbG1VWVl62ho0Ger2eGhoaYno+DQ0NUa217Xai3bsXnuHx4zrR9jweD+Xk5OgAJNA68mEjr1lBRD6fz/fiL3/5y7ALMsYYtm3bxu0tFAje5nWSAPwa3p6eHrzrXS4EvNimp4Ff/1q8TOgade/evUhLS8PZs2e5kpZfDfB6vWhsbERCQkJwJwBexwmPx4POzs6YNMezs7OQSqVRrbVPn/ZvhwIASUkCvvlNk2h7f/rTn0gQhNeJaH0N3us5UkRzAMgrLS3ViY2Qbrc7Jg2v3W6nysrKmGa4gMb09GkhODLv3UsUrioxra9Wq6XKykoym83c7ceCtZ5ZA9LK2NjYou/FtMThIAgCNTU10ejoKHf7giBQTU1NVL9nUxORRLIwq37pS71kt9tFr7/xxhv1APbROnNhQ8+sAEBE4zMzMwOBDYGXIhBIPTExwVVvQkICsrOzMRgufGYZZGVlISUlBbfd1h/0Fe7qAn6zZEvdSFrfrKwsHD58GC0tLauSR2k9MTExgcbGRuzbt++yqBgex4nBwUHI5XLu7ToAv101NTV12bWq2Qx85CN+5SAAXH+9Gx/9qF107T4+Po7e3l49EXVyd2q1sd6jRTQHgHecOnVKdKNlp9NJlZWV3GucgN2Vd81L5B/JGxoa6MEHLcERet8+Iq/Xfz5aO6rH46Hz589TY2MjORwO7n5Ei7WYWV0uV7DvS+3IS7HcDKvX66m2tjYmSScgXS3XB0Eg+vCHF2bUpCSBXnmliaxWq2iZz3/+8+b4+PiP0UbgwXp3IKpOAiwzM3M4kmG9vb2de1drIqKJiQlqaWnhLkfkf1lfe62OlMoFcfi//zs2hwetVksVFRU0NDQUk2JlOawmWQVBoLGxMaqoqKCxsbGo+ytGWLPZTBUVFRFF0Ujo6OigoaGhZa/7/vcXiAoQPf+8KeKzt9lslJWVpQUgpw3Agw0vBgN+m6vdbn/6v/7rv0QX+Lt378bAwECA3FEjOzsbXq+XOzgd8O9sd+utB/GhDy2kjfja1wTU1nZy21GzsrJw4sQJ2Gw21NbWxpSx/0pgZmYG9fX1mJ2dxfXXX4+8vLyoFUHhRGKHw4GWlhYcOXIkJjPS7OwsTCbTsrbctjbgoYcWPn/608DevR0oKCgQLfPTn/7U7Xa7f0jraFtdhPUeLaI9AChzcnKmI81WFy5ciGl2dTgcVFFREbV72lJotUbKyrIHR+xPfzqyOLYcbDZb0K1Qq9Wuyky7kplVEASanp6m+vp6amxsJIuYP16UCMywk5OTVFVVRTMzMzHV4/F4qLKyMqIYS0Q0OUmUl0eLlivDwzpqamqKWPf27dv1ADJoA7z/dLXMrABARDaHw/Hs008/bRe7pqioCP39/dyudwqFIujwEAuyspJx+vSCs/4PfiDHWyvI0JOYmBh0K9TpdKiursalS5e4tw9ZKdxuN4aGhlBTU4PJyUns27cPR48e5d4oeSkUCgUOHjyIlpYW5OTkcCcGDyDgOBEp6ZrdDtxxBxAIflKrgV/8QsDw8EXs+X/tnXt0G/WVx78/yw/F8tuxJTvEJVAgCeSB4zbeErphCYRkdyksuzzK8wBtT7stydmyB9LSLoXT0223Ld0WynIOz8ZhCywtEDZhmyA5fsqJYju2FduxbMvxU4r1sGRZsqSZu3+M5UiK9bRsyTCfc+6xPTMa/Wb8u/P7zb33d+/GjSE/9+qrr7pnZmbeJqLUyQKQ7KdFLAJAqlAoRs3mkLYm0ul01NPTE3J/OE6dOnWJ6yEaLBYLKZUquuUW5/zTu6KCKIY4+LDMzs7SwMAA1dXVUVNTEw0ODsb8fhftyOp0OmloaIjUajWdOHGCdDpdXAa4cPjcZiMjI1G7dYKZmJiIGDjBcUT/8A8XR1SJhOgvfyEaGBigs2fPhvycw+Gg8vJyA4B8SoF+75OkNyBWycnJ+cYTTzwR0pnGcRypVKq4jBVut5tUKlVMq038jUnj40SFhdx853jgAcECmUjsdjvpdDpqbGwklUpFbW1tpNfryWKxkMfjCfm5hZTV4/GQ1WqloaEham9vp9raWmpoaKBz587FdA9iwbcKyTf1jcUP62N6ejqiFZ/nib77XQowKL38svDgUyqVYe/V888/7ygsLPwhpUB/9xdGlHpGjHAwxiRyuVyn0WguD5XpzmAwYGRkBNu2bYv5/DabDa2trbjhhhsilltYyI/6zjuCH8/H738PfPvbMTcjKjiOw9TUFCwWC6ampuBwOMBxHNLS0pCRkYHMzExIJBIwxjA2NobS0lJ4PB5fbVFIJBJkZ2cjPz8fhYWFyM/PjynHUawYDAZ0d3ejsrIyIMrI5XKFTSQefM2NjY3YtGlTyDxORMBTTwH/8R8Xt+3fD7zwAtDZ2YmCgoKQvlyLxYINGzaMGwyGK4hoed87IpHsp0U8kpmZecfXv/51S8hHIxGp1WoyGAzhDgnJyMgItbS0hJ1ihXPPPProxad5RgZPTU2Jd8WEg+M4cjqdZLPZyGw2k9lspmPHjtHU1BQ5nU7y+pzBywTP86TT6aihoSHkaBjNCMvzPLW2tkZ00/z4x4Ej6j33CP5vs9lM9fX1Yf+v+/bts+Xk5HyDUqCfB0vSGxBXowW/a1e4d9OZmZmoHOWh0Gq11NXVteC+SH7UmRmiysqLnaWoaJbOnl26gIdoWK5A/mBcLhep1Wrq6OiI+JCIpLC9vb3U1tYWUtl4PnAhOUB0xx1EbrcQAKNSqcJaskdGRkgulw8CkFAK9PNgSXoD4m44cOPNN98cNv3A+fPnqbW1NdwhIeF5njQaDfX19QVsjzbgYXCQqKjoYqe57DIHdXaOx9WWRJAMZTUajaRUKml8PPrrDqWwer2e1Gp1yAgnjiN64olARb3tNiLfQN7V1UX9/f1hv/vee++1ZGZm3kkp0L8XkqQ3YDEil8s/fvfdd0NaCniep5aWlpg6iz8cx1FTU9O8hTjWyKS6OqKsrIud57rr7KRSaeKO1FkMy6msvjDE5ubmuK41WGHHx8epvr4+pFFodpbovvsCFXXXLmGGQ0Q0OTlJDQ0NYae/x48f50tLS5sAwY6TipL0Biyq8UBRWVnZhNEYclHOfMBDvO4Hj8dDdXV11NfXF3MIIRHR++8TMXaxE23bNksffXSC+vv7l3VN63IoK8/zNDQ0REqlkkZHRxcVzOFT2L6+PqqtrQ0ZsGK1Et16a6Ci/uM/XhxRfRb+cIETNpuN1q5dawSwhlKgX4eSpDdgsSKVSu/Yu3dvaMcrCT65xsbGuDvPhQsX6PDhwzQwMBDX5196KbAzVVXx1NzcQyqVatGdOlqWUll5nqeJiQk6ceIEdXR0xG0nCOb8+fN0+PBhGh0dXXB/dzfRNdcE3tvvfOfiYgqe5+nkyZMRl9w99NBD1ry8vJQ0KvlL0huQCJHL5Yffeeed0I4zIuru7iatVhvukAXxTX2npqaooaEhrrWWREQvvhjYqa67jqi310nt7e1UV1eXsLDCUCyFsvrCEBsaGuj06dMxzzrCMTY2RidOnKCpqakF32H//Gei3NzAe/rss4F+7b6+Pjpz5kzY7zl27Bgnl8sbUnn665OkNyAhFyFMh8fDTYd5nqfm5mYaGxsLeUwwwe+oHo+HGhsb4x5hX3klsHMpFMJC6Onp6fk0KAMDA2Ed9vGSSGX1er2k1+uptraWWltbEx5AMTw8TPX19fMjtP87rNtN9IMfBN7HVauI3n478BzRLLlbKdNfnyS9AYkSqVT6tT179oSdDs/OzkY03/sIZUzyer2k0Wioo6MjrnfOgweJMjIW7mizs7PU29tLSqWS2traaHJyMmGj7WKVled5MpvNdObMGVIqldTd3Z3w9bc8z9PZs2dJrVZfMpV2Op301lsttHWrO0BR160jam8PPI/PbRfJuPXggw9a8/LyHqcU6L/RSNIbkEiRy+UfHTp0KOywZLVaSaVShTU4RbL68jxPvb291NTUFNf7WW0tUWEhBXS6b37zovWS53kyGo3U2tpKKpWKOjs7yWg0LsogFY+ychxHk5OTpNVqSaVSkUajIYPBsCSGMY/HQydPnqSurq5LHlAcJyRTl0r5gHt2661EwUuc3W43nThxIuJKnqNHj3KlpaUrYvrrk6Q3IKEXA+SXlpYORnpPMRgMVFdXt+B0Mxb3zOjoKNXW1saVR6mnh+iqqwIVdvNmos7OwOO8Xi9NTEzQmTNnSKVSkVqtpt7eXjIajTE9KKJRVo/HQxcuXKC+vj5qaWkhpVJJ7e3tNDY2tiRTcx/T09NUV1dHer3+kn1aLdHOnYH3KSODo5/8ZPqSnFder5caGxtDGqR86HQ6UigUowAUlAL9NlpZcbHBkWCMXV1RUdGg0WhKSkpKQh43MjKC4eFhbN++fb4gcDyZ8m02G9ra2nD55ZejoqIipox8NptQWds/q39GhlB35cABIDihPBFhZmYGFosFFosFVqsVHMdBKpVCJpNBJpNBKpXOxwX76qgCQHNzM6qrq+HxeObjg10uFxwOBxwOB1wuF9LS0ubjhAsLC5GTkxNzhsFYGR0dnU/K7Z+1324XcjH/5jdChTcfmzcDr702C4dDHRBLTETQaDRYvXo11q1bF/L7bDYbtm3bZtLpdLcSUeuSXdgS8JlTVgCQSqV7Nm3aVNPY2FgUroRCf38/rFYrKisrMTU1FVdJC0BIwanVauF2u7F169aICwD8IRKqbe/fD/iXc73uOuDll4EdOyJ9ngKUbnZ2Fm63e14hff9fX+UCf0UOVvKlVkx/vF4vOjs7wXEctmzZMn/POA44dEh4WPlX9ZRIhDKMzz0nlGL0D/4vLi5GV1cX0tPTw9Z+5Xkeu3btspw6dep7drv90FJfY8JJ9tC+VFJcXPyDhx9+OGJFI61WS2q1mpRK5aJdD6Ojo6RUKmOyOF9sB1F1deB0DyC66y4inW5RzSKi5MUGL4TRaCSVSkVDQ0Pz76ccR/TOO0Tr1196D7761UtfD4gEo5NKpaKTJ09Se3t7RGPc97//fXtJSclvKAX6ZzyS9AYs2YUBrLS09M+//e1vw5oszWYzHT16lFpaWhJiOHG5XKTRaKilpSXmUDuvl+g//5MoO5uC3tGIvvc9ojhdvESUGsrquzdqtXr+3ng8RO+9R7Rly6VKKpcL1vNQOuhbhXPkyBEK57YjIqqpqXGXlJTUAkijFOif8UjSG7CkFwdIS0pKOj/99NMFtdDfmNTb25vQshYGg4FUKhXpdLqYl6Tp9ZfGuvqU9tFHiXp7Y29PMpWV4zgaHBwMmHWYzUS/+IWQUSP4OvPyhACHcO5bX5mOrq4umpmZCbtaR6PRUGlpaT+AXEqBfhmvJL0BS36BQJlcLh8JthAvZPXV6XSkVqsTtt7T6/VST08PKZVKOn/+fMw+U7Wa6IYbLu3MjBHt3i3EHUdrEE6GsvI8T6Ojo6RSqUir1ZLL5abaWqLHHrt09gAI255+mihS/jSO40ij0VB3d/f8PQ21Wqevr4/Ky8snAFxBKdAfFyNJb8CyXCRwVVlZ2bgv704494xer6f6+vqEOvxnZ2epq6trPqNfLErL80RHjhDdeOOlnds3VXzySUGxw00KllNZfWGIdXV11NbWTi0tLnr6aaK1axe+htWriZ55hmhiIvK5Z2dnqbGx8ZKli0SXKqxer/dFKG2hFOiHi5WkN2DZLhTYuGbNmonTp09H9KP6DCCxVtyOxMzMzHxY4eDgYMwjeF0d0d69gat4/GXNGiHv0JEjRMGu3+VQVo7jaGhoiP73f+vpl7/sp0cecdOaNQu3FRDeU19/nSja56LdbieVShXWgOdT2I6ODl8q0S9RCvS/RMhn0nUTCsbYlrVr19Z//PHHuZHqhk5PT0Oj0WD9+vVQKBQJbYfb7YZer8fo6CgUCgUqKirCptMMRq8HXntNqC3q797wRyIBqqqAnTuBL30JcLlacN9925GW4OSzHg/Q1eXCJ59Y0NzM49y5YvT1ZYHnF3YDFRcD99wDPPAAUF0NROstunDhArRaLa6//vqIldB1Oh12797t0Ov1uzmOS1ql8kTzuVJWQFDY8vLy/zt27Jg8XN5YQFAqjUaD4uJiXH311Qn3Q/I8j9HRUQwPD4PneVx22WUoLy9HON+wP14v8Je/AO+/D3z4IWAyhT9eJhP8t1deKVRqr6gQfhYWArm5QE6OIIwJ5/Z6BWW024ELFwCjUfg5MgL09PDo7uYwNCQBx4V/AhQUALfdBtx3n/AzyssDIMz8BgYGMD4+jqqqKkil0rDH6/V67Ny5c3J4ePhrHMc1Rf9Nqc/nTlkBgDG2says7NNPPvlEEWmE5Xke586dg8lkQmVlZcIrhftwOp0YGRnB2NgYsrKy5iuaRxug4fUCdXXA4cOASgWcObMkzYwKxoCtW4E9e4C9e4Ht24F4kibOzs6ira0NOTk52LBhAyQSSdjjdTodbrrppgsjIyN7iUgTZ/NTls+lsgIAY+wquVyuqqmpKdu1a1fEyeHk5CQ6Ozuxfv16lJWVLWnbHA4HDAYDDAYDZmdnUVxcjKKiIhQWFmLVqlVRjfAmE1BfDzQ0AB0dgEbjhsUSw5AWA2vWAJWVwrS2ulqYfkdRzzgsRqMRWq0WGzduhFwuj3h8c3Mz3XXXXcbx8fHbiKh9cd+emnxulRUAGGPykpKSYwcOHPji/v37V0VSArfbjfb2dmRlZWHjxo0xhRXGC8dxMJlM8/HATqcT2dnZyMvLmw8VlMlkyMrKCqvEtbW1WL9+J7Ra4Px5YHhY+Dk6SrBaCTYbD7sdcDgAnidIJDzS04HMTAaZjEGhkEAuT0NJCSCXA1ddBVxzDfDFLwpT50Th9XrR29sLm82G66+/PuK0FwBef/1194EDB/RGo/EWIjqfuNakFimprIyxLAC/B7ALQBEAHYAfENFRxlg1gOcBbAPAAagF8AQRjc999lkAPwTgF2mLzUQ0MLf/cQDPATgL4B4A06WlpYd27dq164033siP9L5IRBgeHkZ/fz+uueYalJWVLWtMLRHB6XTCZrPNxwP7YoIBgDGG9PR0ZGZmBiTsHh8fR1lZGTiOm48d9v3vMzMzAxQ/NzcXMplsWa8LEEbTs2fPoqKiAuvWrYv4/RzHYd++fbb33nuvxWg03klEDsZYDYCbAcgATAD4BRG9yhjLBPA2gCoAXwBwExHV+s4Va78hoggWgiUg2ebohQTCjX4WwOUA0gD8HQD73N97APwTgDwA2QBeB/CJ32efBVAT4rzZAFoA5AC4H8Dzc9tZcXHxU5WVlaZoE4O7XC46ffo0qdXqhKYzWSw8z9Ps7CzZ7XayWCzzcvz4cbJYLGS328nlci1rsrZIOJ1OOnXqFJ08eTLqEE2LxUI7duwwl5SU/Dv81qQCuBZA1tzv6yEo7DYAmQD2A9gBYBzATgrsGzH3m+WWpauVsAiIyAHh5vn4mDE2CGAbEb3vfyxj7EUAJ6I8dRoASZCAhP/Iz6VSaXtVVdUfPvroo9KtW7eGPVFWVhYqKytx4cIFnDx5EuXl5bjiiiuWtPxENDDGkJmZeYlFWSKRoKCgIEmtWhiO46DX63H+/Hls2LAhahdZb28v9u7dO2k0Gr9jt9vf899HRFr/P+fkSiI6DeA3AMAYi63MYIh+s+wk4wkRqwCQA3ABWL/Avv0A1EFPyCkAZgBaAN8OOv57EJ62tQBKFzjfVaWlpQNvvvmmO9pII6/XSzqdjpRKJQ0MDKTUqOUjFQL5ffinLO3t7Y1pYfuf/vQnr0KhGAawiUL3l98DmIGgqK0AcoL2j2DhkTXufrMcknRFjNhAIAPAcQCvLLBv89zNvdFv20YA5RCefl+BMOW5L8bvzJPL5e/efPPN5lgShLvdburu7ibVXDnD5UgxGi2poKw8z88XUO7q6oqpeLXJZKI77rjDIpfLPwFQTJH/hxIIU95nAGQE7VtIWRfdb5Zakt6ACDc8DcAfARxZ4IZ/EcAogAcjnONpAO/H8/1ZWVl7FQrF2MGDB6MeZYmE99mOjo64wwqXgmSvuhkaGqLa2lpqa2uLeengBx984C0vL59YtWrV3RR7H/ovCAbIsMq6wOfi7jdLJSn5zgoATDAFvgZhCryXiDx++74AYbR9nogORjgVAYjLrOlyuY4wxjY8+eSTr7311lt/U1NTUxiNzy8rKwubNm2aDyusq6uDQqHAunXronJFfFYIDqvcvn17TNdvNpvx+OOPW5uamk4aDIYHKL4q5OkArozjc3H3myUj2U+LCE9ENS5931gDoB/Av4b43NcAFEK40V+GMPo+vNj2ZGVl/a1CoRirqamJaZQlEt5pfSPLqVOnaGJiYtnfa5drZPVlZvQtmBgcHIwr2dqHH37oLS8vN8hksnsp+j5TCuBeCFZbCYDdABwAvja3PwuAFMLIeuvc7z735ZL0m0RK0hsQ4qZ/AcKTzQVg2k/uB/Bvc/v8t0/7ffa/AZjmtvcgaAq0yHYVyOXyP+3YscMUKYPiQgTn3u3o6CCLxbLiy2cQCRXNu7q65jMixpvzuLe3l3bv3m2Sy+XHEKMhB0AJBM+AFYANQCeAb/jt1+Oihdgnl9MS95tESUoGRaQ6jLEvKRSKV6qrqy//9a9/XRgum14oeJ6H0WjE8PAwHA4HiouLIZfLUVxcHDEGNh5qa2uxc+fOhJ2P53mYTCYYjUZMTk5CKpVi7dq1kMvlcbV/bGwMTz31lPXYsWNjBoPh20RUl7DGfkYQlTVOGGMsLS3tlpKSkpduv/32kp/+9Kf54VKfhsMXUmgwGGAymSCVSlFaWoqioiLk5eXNp0pdDItVVp7nYbfbYbFYYDQa4XA4UFRUBLlcjtWrV8ftX7ZarXjuuefsb7/9ttlisfyL2+3+M4mdckFEZV0kjLG0VatW3ZeXl/fvjz32WMHTTz+dk5ubu6hzOhwOGI1GWCwW2Gy2+YCGwsLC+VDAWJUjFmXlOA4Oh2NeOa1WK7xeL3Jzc1FYWIiSkpJF5xR2Op144YUXnL/73e+sDofjWbvd/hoRxRqs8LlCVNYEwRjLKCgo+GepVPrUI488krtv3z5ZohatezweWK1WWCwWTE9Pw+FwgOM4pKenQyaTITs7ez4fsC8ncEZGRsCIrFarUV1dDSIKyCvs++l0OuFwOODxeJCWlgaZTIacnBwUFhaioKAg6jW2kTCZTHjppZdmXnnllWmXy/Vbs9n8KyJyJeTkn3FEZU0wjLGsVatW3Z+fn39g+/btRc8880xRVVXVknyXx+OBw+GA0+lcUAF5np8/dnJyEqtXr0ZaWlpAom/fz+zsbMhksiVbSdTZ2Ymf/exnFqVSaXM4HL+cnp5+g4SwUpFoSbaF67MqEFwAO8rLy49fffXVxhdffNGd6JxOsZCMoIjp6Wl69dVXPddee62xvLy8EcAtWEGFoFJNxJF1GWCMlRQUFHwrKyvrm1/5yleyH3rooeJbbrklprxLiyXR1uBQuFwuKJVKHDx40KxSqVxer/dNk8n0EhGFyBYlEi2isi4jJE26hwAAA/JJREFUc1FZ1aWlpfenpaX9/ZVXXrnq/vvvL7z99tvT16xZs6TfvZTKajQacfjwYa6mpsbc3d3tZowdnZiYqAFQT0R8xBOIRIWorEmEMXZlXl7eXTk5OQ/k5OQo7r77btmdd96ZvXnz5oQvtUuksnIch7Nnz+KDDz5w/vGPf5y2WCyTTqfzv61W63sAeknsVEuCqKwpAmOsUCKR7CkrK3vQ6/VeV1BQkFVdXS258cYbC6uqqtjGjRsXpcDxKivHcejp6YFGo6GGhgZrc3Ozx2QyedPT07uNRmON2+3+mIgm426YSNSIypqiMMZyAVyfm5v7VwUFBTd5PJ6N+fn50i9/+cuSTZs25axduzazrKwMZWVlKC8vR06EREjhlNXhcGB8fBzj4+MYGxvD6OioR6vVTqvVaq/ZbHZnZGT0TE1NqWw2WxOANiKyJvyCRSIiKusKgjGWA2ArgHUFBQVXyGSyK9LS0io4jisjopz09PSMgoIClJSU+FwyLCMjAxKJhNnt9pzMzEybz60zOTkJi8UCj8fjBTCdnp4+QUTDDoej32KxDECIo20noqlkXrPIRURl/QwxZ8DKBbAawtIwf+EAeAB458QMYEp8v1w5iMoqIrJCSHDlExERkaVCVFYRkRWCqKwiIisEUVlFRFYIorKKiKwQRGUVEVkhiMq6wmCMZTHGXmOMDTHG7IyxNsbYnrl99zPGpv1khjFGjLFtc/sZY+znjDHTnPyC+aV7YIw9zhgbY4wdZ4wVJ+saRRZGVNaVRzqAYQB/DSAfwI8AvMsYu5yIDhFRjk8AfAfAAIQSEgDwTQB3ANgCoZrB3wH4FgAwxrIBfAPA1QDegFCWRCSFEJV1hUFEDiJ6loj0RMQT0ccABiFUSgvmYQB/8ItSehjAr4hohIhGAfwKwCNz+1Kj+JJISFI2I79IdDDG5BBGQ23Q9i8A+CqAR/02XwvgjN/fZ+a2gYimGWNvAeiFkDf37iVstkgciOGGKxjGWAaAowD6iehbQft+BOBmItrpt40DcC0R9cz9fRWAcwDSxBjh1EecBq9QGGNpAA4CcAP47gKHPATgraBt0xCKUPvIg1DNQFTUFYCorCuQoKJdd5Ff0a65/TdAKF/4P0Ef1UIwLvnYgqDps0jqIirryuRlABsA/D0RORfY/zCEcoX2oO1/APAvjLE1jLFyAN8H8OaStlQkYYjvrCuMOcORHsAshHWpPr5FRIcYY1IIFbrvIqJPgz7LAPwcwONzm14F8JQ4DV4ZiMoqIrJCEKfBIiIrBFFZRURWCKKyioisEERlFRFZIYjKKiKyQhCVVURkhSAqq4jICkFUVhGRFYKorCIiK4T/B1K4inAsOXafAAAAAElFTkSuQmCC\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1577,6 +1623,13 @@ "ax.plot(t, t, color='blue', lw=3);" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Histogram" + ] + }, { "cell_type": "code", "execution_count": 49, @@ -1584,17 +1637,18 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "# A histogram\n", "n = np.random.randn(100000)\n", "fig, axes = plt.subplots(1, 2, figsize=(12,4))\n", "\n", @@ -1611,53 +1665,194 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Text annotation" + "#### Stacked bar (vertical)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# bar example\n", + "N = 5\n", + "menMeans = (20, 35, 30, 35, 27)\n", + "womenMeans = (25, 32, 34, 20, 25)\n", + "menStd = (2, 3, 4, 1, 2)\n", + "womenStd = (3, 5, 2, 3, 3)\n", + "ind = np.arange(N) # the x locations for the groups\n", + "width = 0.75 # the width of the bars: can also be len(x) sequence\n", + "\n", + "p1 = plt.bar(x=ind, height=menMeans, width=width, yerr=menStd)\n", + "p2 = plt.bar(x=ind, height=womenMeans, width=width, bottom=menMeans, yerr=womenStd)\n", + "\n", + "plt.ylabel('Scores')\n", + "plt.title('Scores by group and gender')\n", + "plt.xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5'))\n", + "plt.yticks(np.arange(0, 81, 10))\n", + "plt.legend((p1[0], p2[0]), ('Men', 'Women'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Annotating text in matplotlib figures can be done using the `text` function. It supports LaTeX formatting just like axis label texts and titles:" + "#### Stacked bar (horizontal)" ] }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 51, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", "text/plain": [ - "" + "" ] }, + "execution_count": 51, "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "fig, ax = plt.subplots()\n", + "# barh example\n", + "N = 5\n", + "menMeans = (20, 35, 30, 35, 27)\n", + "womenMeans = (25, 32, 34, 20, 25)\n", + "menStd = (2, 3, 4, 1, 2)\n", + "womenStd = (3, 5, 2, 3, 3)\n", + "ind = np.arange(N) # the x locations for the groups\n", + "width = 0.75 # the width of the bars: can also be len(x) sequence\n", "\n", - "ax.plot(xx, xx**2, xx, xx**3)\n", + "p1 = plt.barh(y=ind, width=menMeans, height=width, xerr=menStd)\n", + "p2 = plt.barh(y=ind, width=womenMeans, height=width, left=menMeans, xerr=womenStd)\n", "\n", - "ax.text(0.15, 0.2, r\"$y=x^2$\", fontsize=20, color=\"blue\")\n", - "ax.text(0.65, 0.1, r\"$y=x^3$\", fontsize=20, color=\"orange\", \n", - " horizontalalignment='center', verticalalignment='center');" + "plt.xlabel('Scores')\n", + "plt.title('Scores by group and gender')\n", + "plt.yticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5'))\n", + "plt.xticks(np.arange(0, 81, 10))\n", + "plt.legend((p1[0], p2[0]), ('Men', 'Women'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Pie" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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LxfjrrmYemTSZ+Vs2c3VJCSVWK5ds3szSKVPp/rfbqsUi913qzORl7yXA7cAFZgcy0qiShRm8nrvxen7c21CgoaYduA54CSMpFxCP6b53Hnu186MXH9Sj4c50htrNVXkcrhnHouUNfhFZtHUbkabPKDrh22g2B/mVx2MfO5lA/dsAyGgI+9gK7CVTwGJFD3YQ3l5PzNdEftWJqfpSmOZwUB/aW54I6DpbohGm2Xt2nU1zONgaje7XLVEfDjPN0fOx1zc3ceWYsTg1jXXhMIc68yi32YlJSWvceH5ESnnDBdZQzKFl+mTo/OqF1eeZHcRIoxJyGs2rtE3f/ovCy4HvA7fh9TyD19PjY2ugoSYSaKh5DLgBcAKlAMENKze0vXbvnTFf8/q0Bt4P2+78Dltvn0/L4luIB3y9PibasgmrZ/x+M117ySFEWzYDoLmKiDRvINK8ASE0NGcBbUvvYdTpPxhUTDEpCes6cSRxIKzrxKTk9IICGiJhlnT4Ces6d+5uYYbDwZRekmyF3c5Mh4PbW3YT1nVe7ehgXTjMFw84mGVFVxdhKTmlwNgTqNxmoybQRUM4TETKPRcWHzg83ra9Ii1Lo1PhDnUuX3qphJwm8yptk8sLxZ+KneL2fe7+KvAxXk+vTfmBhppa4PdAA3AIYIt37g60vrrg4eDGD1+Wej+aXIeZludm/KU3U/6jf1F62S3ISICW527o9bF6JITm2P+TunDko0eCAIw+88e0vno3u1+6jdFf+Tkdq17AOXk2Mhah6bHfs/ORawhtru13bAt2tzCnYR33trbynN/PnIZ1LNjdwiirlVvKyvl7SwvHrG/gk2CQG8vK9jzPu3Mn3p079/z9xrIy1oSCHLO+gZt27eLmsnJGWfdOcCO6zt92NXNNyd4Leb8tGce1O3dy+ZbN/GHceCxCsDI/2rnk7LQujR6qsRilCyVNhEz0TSrDZ16lzSHAe8uXnN86pFjrrfleB/4P8OL19UiyrulzLcAZGDU9P9AG4CibOb7wyK+cpzny07bZUNvyB4l3tOy5qHegeGcbW2+/hIlXPd6j5htYt4L25Q9S9r0799zX+oqxlcKoM36432Njna00P/FHxl98A02PXE3xaf+FtXAUOx++mvIf3cfBaulaPCoXP3dNprSSAdBKPPbzK6zxgHmr8Ybim7Xza580O4iRQM2Q0+Prl862nZwkGYPx7/A7YDlez+QDBwMNNfFAQ81LwJ+ACDABEOHta3fuXnLnXZGWzR8NW+QDtScN9vxFbxszmWj7TvRwYM99keaN2Mb0/N/StvQeik68BM3mILprE47SaVg940CPoScpiWSquJTcdLbozNJkDHCj2hUuPVRCHmbzKm2zxrrE186ptB7Zj4cfB3yE1/PN3gYDDTUbAC9Qg1HCcMpIINq+7P5nu+refErGYz0baVNE6nGju0LGQerIWASpxwlvrye6eytS6sSDflpfvRvHpOoepQkA26hy7CVT8L39CDIWIbBuBZFdjbgqj9/vccGNq5DxKK5pRwNg9YwjtOkTIrs2IeNRtLzsOlj7mYpY27pqeyasxhusScBPzQ5iJFAli2E0r9LmAq77w8mOUz5fZjligE+/F7gSry9w4IBr+lwBHAN8F2PGvAvANmpCkfvob5xnyU99z3L7Ww/je/uR/e7zHH8RtlETaFv+AHqgHc3uwllxBMWnfBdLgbE1w+6XbwNg9JlXAIk+5MU3E9nR3Yf8oz19yAAyFmXHgz+n5Bu/x+opARL9yS/eCvEoxad9j/xZB98HJ5NKFuts0eDvfu5wZtBqvMFqB6bWzq9tNTuQXKYS8jCaV2n7auVo7dK/nOH4mibEYD6N1AEX4vV90tuga/rc8cAPMU6A2ArE0SyaZ+55pyZ6lrM9CQxKpiTkLqnrP/+eFmwrsWZyz/FA3Fw7v/bnZgeRy1TJYpjMq7SNBs750VH26kEmY4Aq4D28nl73qw001OzEuBj4At09y3pc973z2FIze5YVw50nyvYcSsYAP65eWH2I2UHkMpWQh8/XTqmwjJ9SrE0f4us4gFvxehbh9fTopkj0LD8B/C3x2DKA4IaVG9teu+fOmK+5YYjvrwzCa6Oj/vdOTPmp0WazYyxaUoaJSsjDYF6lrUITnHjpbNvnUviy5wCf4PWc2ttgoKFmNfAHoB7jgp893tkaaH11wb+DGz98KRN6lkeKbSIWuXd+itZ5Z54LqxdWp/L7WtmHSsgpNq/SJoCLLjzMNnGMS0v1+XdlwKt4Pdfh9fRYehtoqGkDbgEexljdVwzQ8eHzNb6aJ+7VQ11qs5hhFpFS3nh+ViyNHiwB/K/ZQeQqlZBT73CXjUPnVVqPGqbX14DfYPQsVxw4mOhZXgL8DxAGJgIisr1+5+5X7rw70rJp1TDFpQAPVcfbtk7JmqXRg3Vm9cLqKrODyEUqIafQvEqbDbj4B5+zT3HZxHA3yx6L0bPc645cgYaajRg9y+9glDDyjJ7lhYu66pY9KePRYetZHqk+dEW7Xjonq5ZGD5YArjQ7iFykEnJqnVhaICadMMny+TS9nwd4FK/nn3g9Pa7mBxpqAsA/gTswyhclAF2fLlvTtvzBBfGutq1pijPntRGP/f279r73H80dl1YvrB4Jv3zSSiXkFJlXaSsEvnnJbNsEm0Wk+wy87wIf4PX0WHwSaKiRgYaadzEu+DVh9CxbYq1b23cvueNf4W1r35SqGX1I4lJyy1miI1hocfb96JyRBwxuGz4lKZWQU+eLNg3HkaWWw016/0rgXbyeq3obTPQs/xlYjNGzXIge133vPv5ax6oXHtCjoY40xppTnpsUa6s7wtRTo83y4+qF1eoA3hRSCTkF5lXa8oAzzp1lLXbZRIGJoTiAm/F6nsfrGXPgYKJn+Ungrxg9pWUAoY0fNLYtvefOmK9pXXrDzX7rrdHgIxdlxKnRZigHet13RRkclZBT4wjAcWqFdY7ZgSR8BaNn+Qu9DQYaatZg7LO8lu6e5a62YOurdz0S3PDBi6pnuX8CUtdvvNSmS0vW71MxFL1+IlMGRyXkIUr0HX959jhNKy3UemydaaJSYAlez/VJepbbMXqWHwLGA6MAOlYtfs/37uP36KFO1bPchwXHy/bd43JqafRgHFW9sDpTJiJZTyXkoTsEmHDuLFsm9mVqwK+Bt/B6euxBEGio0QMNNa9g9CyH6O5Z3rGuafcrd94d2bXpw/SGmz3eGBXxv3tyzi2NHqzzzQ4gV6iEPHSnFtrRZ43VZpsdyEHMxehZvqi3wUBDTSNGz/IK9vQsB6Ptyxc+1/npG0/IeDSUtkizwA4Ri9wz35mrS6MHQ9WRU0Ql5CGYV2lzA8deVG0rtVuE3ex4+uAG/o3Xc/9BepbvA25jn57lQN3yT9uWPbAg3tW2Ja3RZqiolPKGb1pDUWfOLo0ejKlqf4vUUAl5aI4GtOMmWrPpm3E+8CFeT4+6X6Jn+T2MC347gQrAEmvb5tv98u3/Cm2rWz7Se5YfOjTetmVqzi+NHgxVtkgBlZAHaV6lzQJ8+dQKi3NUnigxO54BmoHRs/wzvJ4eHQKBhpomjJ7l5+juWZa69L/7xOsdHz6/cKT2LH/kina9+NURsTR6MFRCTgGVkAdvJlB85jTrLLMDGSQ7cBOwGK+nxy+UQENNNNBQ8xTwF8BGd89y46pNbUvvuTPavrM+rdGarI147JbvjKil0QNVUb2w+mizg8h2KiEP3hkCAocUadPMDmSIzgI+xus5o7fBQEPNpxgljE/Zp2e5bendjwY+W/mC1OOxNMZqCl1KbvmS6Ai4R9TS6MFQs+QhUgl5EOZV2oqAw4+daLHl2UQu9KGOB17G6/krXk+PpbCBhhofcCvwAPv0LHd+9ML7vncevyce6tyV1mjT7LmJsba6OSNyafRAfd3sALKdSsiDMw3g2AmWqWYHkkIC+CXwNl5Pj68r0bO8FLgWCGL0LGuRnQ3NrUvuuDvSvPGD9IabHp9Zo6F/f2vELo0eqCnqzL2hUQl5cOYA4Rmjs75c0ZujgFV4Pd/ubTDQULMJo2f5LYwujDwZDcXa33zw+c41rz8uY7nTsxyQun7DxbbYCF8aPVC9HjGm9I9KyAOU6K6YMzpPdI0rEBPMjmeYFAIP4fU8gNfTY7OkQENNELgf+AdQBIwDCKx9s65t+cIF8c7WzekMdrgsOE5v311qNXOzqGx0mtkBZDOVkAduIuA4fYplkiZErv//uwSjZ7lHn3WiZ/l9jAt+2zBmy9ZY23bf7iV33B/a+umybO5ZXlYc8b97impxGwQ1Qx6CXE8ow6ESYPZ4Sy6WK3ozHViB1/PfSXqWmzFa4xZh/LJyI3Xpr3nyjY4Pn1+oR0L+NMc7ZDtELHL3Zc48s+PIUmXVC6szaZOtrKIS8sDNBXyHFGm5dEGvL3bgb8CLeD3jDhxM9Cw/DVwPWNmnZ7l16d0Lou071qY12iGISilvOM8aijo1tfH64B1ndgDZSiXkAUgc01TxuVLNmW8XI3H57JkYPctf7G0w0FBTh1HCWEOiZ1kPtAfblt7zWGD9e4uzoWf537NibVumqaXRQ3Ss2QFkK5WQB2YqwAmTrCOlXNGbccBLeD03HKRn+R/AQoye5dEAnR+/tNL3zmMZ3bP8cV60a/HX8lTdeOhUQh4klZAHZg4QmT5am2J2ICYTwC8wass9fjklepZfw2iP68LYD0OL7Fzf3bO8Mq3R9kO7VEujU+jQ6oXVqlVwEFRC7qd5lTYNOBJoHesS482OJ0N8HqNn+dLeBgMNNZsxFpIsw+jCcCV6lhd3rn7tMRmLBtMXanK6lPz9S6Kjy6OWRqdIHsYFXmWAVELuv3GAa6Jb5Mpy6VQpABbi9TyI11N44GCiZ/kBjKXXHrp7luvfWtu27P4Fsc7WTWmNthfPT4i1rzlSLY1OselmB5CNVELuv/GAqB5n6dFloABwMcZs+agDBxI9yyuB3wFb6e5Zbt/hb11yx8LQ1jVvmNWz/Jk1Fnr4Ww51ES/1ZpgdQDZSCbn/JgD61GJNJeTkpmLshfGrJD3Lu4C/As+wX8/yU8s6Plh0vx4J+tIZbFDq+o0XW2PSqqmfg9RTCXkQ1Ddi/00DAuVuoRLywdkwFoq8jNfTo9ae6Fl+BmMDfAtQDojQpo83ty69e0G0bUddugK961i9vUUtjR4uKiEPgkrI/TCv0iYw+mo7x7jEGLPjyRJnYPQsf6m3wUBDzVqMnuVPMEoYDj3gC7W9ds/jgfXvPT/cPctvFkX9K05VS6OHkUrIg6AScv/kY1y8ingcQv0Q918J8AJez014PT0OgQ001PiB2zE2Kiphb8/yB74Vj94dD3Y0D0dQO0UsctdlDrU0enhVVC+sVqsdB0gl5P4ZC+gl+cLpsAr1gzwwAvgZ8A5eT48r74me5dcx2uM66e5ZbvpsV+srd9wTad7wfiqDiUopbzzXEozkqaXRw8yKan0bMJWQ+2cUIGaM1tTsePCOxNg57rLeBnvvWQ7H2t986IXO1UsfTVXP8iNVsbZN022eVLyW0ifVSjhAKiH3z2hATPaohDxEBcC/8Hoexuvp0WoWaKgJYfQs/x1ws6dn+e36tmX/GnLP8sd50a7nv66WRqeRaiccIJWQ+2ciEBpXINRv/NT4FkbPco9TihM9yx9gXPDbp2d5p791ye0LQ1tWvz6YnmWfjMdvucyuvt/TS30SGSD1Ddo/5UCw0C5cZgeSQ6YAb+H1XH2QnuW/AP/B6AF3I6X0v/f08o6Vz/5rID3LupT8/Uz8XUUWVf9PL5WQB0gl5P4ZDwRtFtSFoNSyYfQjL8HrKT1wMNBQEws01DybeIxGd8/y5k+2tL5614Jo2/ZP+/MmiyfE2ld/zqE+3aSfSsgDpBJyHxKbCuUBMZumEvIwOR2jZ/nLvQ0GGmrqgT8AH2P0gzv0oD/U9tq9TwQaap6Tejya7IU3WmKhh9TSaLOohDxAKiH3zQpIALtFqIQ8fMYCz+P13HKQnuU7gPswepbHAHR+8vKHvrcfuTse7Gg68DlBqes3XGyNqqXRplEJeYDUN2rfbCQSslXNkIebAK4E3sXrqTxwMNGz/AbGPst+unuWmze0tC65/R698aPGfR9/91zkay8dAAAgAElEQVS9bVeZtccOdEraqIQ8QCoh921PElY15LSZA3yA1/Pd3gYDDTVbgP8BXqe7ZzkWietvP7TG89pdq0Q4EH2rKOp/+wvO0ekLWemF2vB/gFRC7tueGbKqIadVPvBPvJ5H8Hp6zLQSPcsPATcDhSR6lvPWLdddr/22cYFaGp0JwmYHkG1UQu7bniRs0YTVzEBGqAsxepaPOXAg0bO8CqNnebOOHBWx6SVdx0Sb1dLojBAyO4BsoxJy3/b8YKsasmkOAd7E6/kNXk+P79lAQ00L8Ldonv+tpiLqbVX5aovUzKBmyAOkEnLfVELODFbgusSt52BBXTyc3ykD4yyf2kbZRvohtJlCzZAHSH0E75tKyJllVZL7S4GxhbMLPUIT6mJSZlAz5AFSM+S+7UnCQv3/MpWUMgS8kGS4GiCvIm9W+iJS+qBmyAOkEkzfbBj9sYTjZMSx9SPYy3h9nQfe6Z7jFsBJmlPrsI22TTMhLqV3aoY8QCoh900jkZBDMRkwOZYRTQjxVJKhEqC0cHZhqbCoTpgMon5eBkgl5L4FSPQhB6PqG8wsUsoIsCjJ8GEAeYeockWG2W52ANlGJeS+7U3IaoZspqV4fcm23DxR2EWHfay9xxFRiqmGdKDASKQ+3vVtTxLujNBlZiAjWbJyhXuOewwwufDwQqewiB6bEimm2mx2ANlGzZD7FiDx/6kzombIZpBSxoFnkwwfBsi8KXlVaQxJ6duu2vm16iL4AKmE3LcAiYt6HWGVkE2yDK+vJcnY8cIiOu0l9h67wymmUrPjQVAJuQ+L6qNxIAhYfSohm0II8WRv97vnuIuBqQXVBaM0q+ZMc1jKwamEPAgqIfdPB2BrD6kui3STUuoY5+r1pgrANc2lyhWZR13QGwSVkPunHbDtDugqIaffCry+nUnGTkSjyz7OPjOtESn9oWbIg6AScv/4ANvOTqm6LNLsIN0VbqCy4NACt2bT1GngmWet2QFkI5WQ+8cH2Lb4ZVc4Jof1yvHFTwcpvbED95/9zPhHJ/d+GNkztnRDjJm3deK6zs+pC7vY1K4nfZ3Gdp1TF3bhus7PzNs6eXVDbL/XOeTvHZTe2MFjq/eeD9oekhx5VycdYTk8X9zgPJ3k/ipAuKarckWGet/sALKRSsj90wrYAXYF5I7hfKNrTrDTeGUB/mvcLLooj9+9FuaD7XFaAjrfeDzAn0510PrrQj5fauGCJ5P/brjoqSBzxlvY/atCrjvNwXmPB9jVZSTwq14O8dxFLl76tosfLQ4S140EfM2rIa4+wUGhQwznl9hvUsqVeH3JPvqeAHQ6xjlUuSLzNNbOr03WFaMchErI/bOnhrnNrw9rQj60xILDaiREAQgBn7XpPF0X49CxFr55qA2nVeA9xcHHTXHWtsR7vMa63XE+3BHn2lMc5NkE586yUT3OwlN1xiy5KyI5rMTC7PEW7BbB7qDkvW1xNrbrnH9o5uwwKoR4orf73XPcBcCs/Kr8As2hqUNMM897ZgeQrVRC7p8dJJZPf9amD/v6/P+3OGiUGm7vorRA8OXpVtY068wet/efK98umFqssaa5Z9liTbPOlGJtv5nu7HEaa5qN5F2Sr/Hxzjgf74yjCSh2Cq56KcStZ2Vc51iyzYRmAlr+jHw1O85MqlwxSGrpdP/sAuKA5eOd+o5vVQ/vm93xlTz+cZaTd7bGeaMxjsMCnRHJ2Pz9Swkep6Aj0rPe2xmReA4oO3gcgm0dxmMXnO3kypdCBGOSB7+ex50rI3zhEAuhGJz5UBeROHhPdnByhXnfHrqUn2jX+j9LMnwsELCX2lX9ODOpGfIgqYTcD4vqo/F5lbZGYGxdi94WjsmQwyqGdTpp0QQnTLLy0CdR7lwZocAu8B9wsc0flhTae9Z7kz/W+PMR4y28cVk+ADs6dH6xJMQ7l+dz8v1d3PIlJ2WFGif9q4tNVxUghDn1ZC35YhAXMNs13YXFaelxGnUmC+8Ms/5363Ef5WbiDybSWddJ418b0ex7P/mUXlJK8QnFvT4/uCnItvu2Ed4RxlHqoPy75eRNNg7Xbn+nnZ2P7kTYBOWXl1NQVWC8Z3OYrXdvZcpvpiC04f+3lFLqQogPh/2NcpQqWfRfPcZx88N+YW9fMR0+a5UcWqLxcdPe8kRXRPJZq86hJT3/CQ8t0djQpu/XLfFxk86hJT1PNvrZyyH+9zSj1lzbrPP5MgsVRRpRHXYFTO22SFauqAS0/Jn5WbdUevuD28mbkrfffdYiK7PumrXnliwZ6zGdzbdupui4Iqpur6L4hGI237oZPaYj45KmJ5qYeu1USi8uZcdDe789dzy0g9ILS9OSjAGEEHW182t7HCKg9I9KyP23kcT/r+0dw1NHbu7SeXR1lM6IJK5LXl4f45HVUU47xMLXZ1pZ3RznqU+jhGKS/1kW5vBxFmaO6ZlkZ4y2cMR4C9cuCxOKSf5TF+WTpjjnVu3/geiVz2KEYnD2DONC3iFFGq9tjLOmOU44JhmdZ87sWJdyLV7fp0mG5wIhR5kjq/Y+bn+3HYvLQn5V/qCe37W2CxmXjP7iaDSbxugzRoOErk+7iHfGsRZbsRXZKJhVQGSX0Srpe9+HrdiGa1pa27TfSeeb5RpVsui/HYAO8Fmr3HF0eerfQAB3rozww+eD6BImF2nccqaTr840EuZT57u44oUQF/8nyNxyC4+et3e29cPnjRa4BWcb9z16Xh6XPROk+C8dTPJoPHm+i7H5e3//hmOSX74S4tkL9/6w/uMsJ5cvChKOG3VsS5pmVQc6SLnCARyZd0ietORZRqU5rEGLB+M0/6eZil9V0La8bf8xf5y6n9ah2TXcR7oZd+44NEfPeVJ4WxjnROd+JSTnRCfhbWEKDisg3hkn2holuCmIs9xJPBRn16JdVPy6Yri/vAMlO/NQ6QeVkPuvGaPTwvJJU3zHRdWpbw8bm6+x7LLkM6jTp1hZe0VBr2PdibhbRZG2p07cG4dV8NEP93+tL0yx0nhVRnSRJStXzACs+bPyp6QzmKFqfrqZ4pOKsY/ef7tmR6mDqf8zFUepg+juKFvv2cqOR3ZQflnP3/Z6SMeSt/+nIS1PIx6KIzRB2fwyNt+2GWETlF1WRvN/mhl1+ihCW0LsenYXwioYf+F4nBOG79KHlDIshFgybG8wAqiSRT8ldn1rBPI/3aW3RuJSHeA4DHQpN+L1fZRk+Ggg4ixzZk25IrgpSOeaTkafObrHmK3IhrPcidAE9rF2xp8/Hv/7/l5fR3MayXdfelDH4jSSdMGsAqb+YSpTrjEu3gU3Bik+sZit92yl/HvljJ03lm33bUv9F7i/12rn16rtBYZAJeSBqQcKJbDNLxtNjiUnHaRcYQeOdkxwSEu+ZWyawxq0rrVdRFoirPv5Otb+dC27X9qNf6Wf9X9c3/PBB6kQOcodhLaEkHLvhdbQ1hCOcsd+j5NSsv3B7ZR+u5R4Rxx0sI+xk3dIHqGtoVR9Wb0SQjw3rG8wAqiSxcDsubBX2xxfd0ixlnVX+rNAsnLFNMBaeFhhRRpjGbJRp4zCM3dvd17LSy1EW6KUXVpGZ10n9hI7tlE2oq1Rmp5oonBO7yWj/Jn5CE2w+5XdjDp1FG3LjFp0/qz9y1Jty9rIm5xH3uQ8ZFyiR3RC20JEd0exjx32E65UQh4ilZAHZjOJecySz2LrzplhNa1PNxfpUm7VhEi2qODzQNxRnl3dFZpD2+8inebQEDaB1W0ltCLE1ru2Eg/EsRRYcM9xM+68cXse23hjI64ZLkrOKUGzakz66SS23beNpieacJQ5mPTTSWjWva8d64ix+5XdTPmdUWIXFkHZxWU0/qXR6E/+3jBciU6QUq5afdnqrcP2BiOE2PcjkHJw8yptArgOY6OhznvnOb9Xkq8N33f5yPN3vL6rDrzTPcdtBW61j7fL0gtL/58JcSl9u7Z2fq3X7CCyXVbUkIUQjUKI0w+47zIhxFvpjGNRfVQCK4BigLUt+rp0vv8IkKxcMRVwFlYXTk9nMMqALDI7gFyQFQk5w6zu/sOyxpjahDtFdCmbgbeTDH8OiDknONXeFRlISrm6dn6tWi6dAjmRkIUQVUKIN4QQ7UKINUKIefuMjRZCPCeE8Ash3hdC/G/3zFoYbhZCNAshfEKIT4QQh/XxdlswTqJ2vL9db24PSbXvawpoQjyN19dj6zr3HLcFONY2xha2uC0TTAhN6YMQ4i6zY8gVWZ+QhRA2jKu7S4AS4CfAw0KI7g6I24EuYDwwP3Hr9kXgJIwFB0XABcDug71foh+5BhgN8ElTvDZVX8sI12u7G3AIkF84u3CauoCaeaSUIeBBs+PIFdmUkJ9JzIDbhRDtwB2J+48BCoDrpZQRKeVrwPPARUIIC3Au8EcpZUBK+SmwcJ/XjGJsGDQT4wJnnZT92jjofRIdKi82xFb38VilD7qUrcCyJMNHAHHnRFWuyEiSx2rn1/rMDiNXZFNC/pqUsqj7BnRfbS8DtiSOi++2CSgHxmIkzi37jO35cyJ534Yxi24SQtwthHD3I5bPSJQt1uzSW3d1Df+m9blME+IZvL7Ygfe757g14ARrsTVo9VgnmRCa0gehiTvNjiGXZFNCTmY7MFEIse/XMgnYhrGxfAzYt/Y4cd8nSylvlVJ+DjgUo3Txy77ecFF9NAYsB8YAfLRTV7PkoUnWXTEJcBfOLjxEqHpFxpFxuaZ2fm2N2XHkklxIyDUYNeJfCSFsQohTgHOAR6WUcYxTi71CCJcQYiZwafcThRBHCSHmJurQXUAI42SQ/lhJomzxVF3045gue8zwlL7pUvqBV5MMHwHoeZPysmoxyEghLOJ2s2PINVmfkKWUEWAecBbQglFbvlRK2d2SdgXgwTio9EHgEaB7YyA3cA/QhlHm2A3c0M+3bkw8z7W9QwbWNOvJNsRRDkLAc3h9kQPvd89xC+BES6ElYC2yVqQ/MuVgpC6DwMNmx5FrsiIhSykrpJSvHnDf/VLKExJ/XiOlPFlK6ZFSzpJS/mefx+2SUn5FSumWUh6VuHtrYmyplPJwKWWBlHKMlPLbUsp+nXawqD6qY3R2jAF4ZHV0ha6WPQ6YSLKZEEaZqdh9hHuS0ERWfJ+OKJIFtfNre9+aThm0nP9GF0LMFEIcnug5Phq4HPhPX8/rp7cxatS2T3fpbRva9LoUve6IIKUMAC8nGZ4NSOfk7Nlqc6SQuowIi/iL2XHkopxPyBhtbU9j1IgfB24Enk3FCy+qj3YAr2D0OPN0XSzZSjOld4vx+oIH3tldrtBcWqdtlC2rNqMfCWRU3l87v7bJ7DhyUc4nZCnl+1LKaVJKV6L08WeZ2tLC6xg7wGlvbY5v3+bXG1P42jlNCJGsu6IUKHEf4Z4gNNHz0EDFNFKXUc2hXdufxyb2oAkKIToS6wdWCCF+eEBHlLIP9T9miBbVR1swShfjAV5cr2bJ/SGlDAOLkwxXAzKvIk8tBskwMirvqZ1fO5C++3OklIXAZOB64NfAP4cluBygEnJqLAFsgFhUH1vfGtTVx7m+vYTX1+MC6p5yhVPrsI22qd3dMoiMy6Dm0P44qOdK6ZNSLsLYnmC+EOIwIYRHCPGAEGKXEGKTEOJ33bNnIYRFCHGjEKJFCLFRCHGFEEIKIayJ8cuEEBsSs++NQohvp+4rNY9KyCmwqD66BajFWBnI0g1xNUvuw0HKFSVAWeHswlJhEeoAhQyiR/Rba+fXDmkzLSnlexhdTicC/8BoSZ0CnIyxRuA7iYd+H6OV9QjgSOBr3a8hhMgHbgXOSsy+jwNyou1UJeTUWQy4AB5dHV3TGZFqfX8SUsooyY/7ORQg7xBVrsgkekz3WfIs/5uil9sOjMKYLV8jpeyQUjZiXHC/JPGY84G/Sym3SinbMMod+4UEHCaEyJNS7pBSrklRbKZSCTl11mEsFimO6ujLGmNp3Tw/yyzF62tPMnaSsIlO+xj7jLRGpByUHtJ/Vju/tl89+v1QjrHK1Y6xIKtb9x40kNijZp+xffeg6cJI5j8EdgghFidW4WY9lZBTJHGayLMYq//456roBy0BvT87x404ycoV7jnuMcDkwsMLxwirGPYTOZX+iXXGPqj7cd2/UvFaQoijMJLuMxi7LU7eZ7h7DxqAHRx8D5qXpZRnYHTkrMVYcZv1VEJOrVqgGfDEdOT9H0UXq9V7+0vsL/JMkuFZgMybqvauyBQyLqN6UB/yBTMhhFsIcTbwKPCQlPJjjHUB1wkhCoUQk4GfAw8lnvI4cKUQolwIUYTRndH9WuOEEPMSteQw0En/96DJaCohp1BiF7iFGPUxsXxTfNvqZv0Dk8PKNMvw+pJdGDpRWESnfay9Msm4kmax9tit9f9dXz+El3hOCNGBUXL4LXATey/c/QRjwdYG4C3g38B9ibF7MLqXPgFWAS9grIqNY+StX2DUolsxLgjmxOG36ip26tUB72CcA7ftlncjS2//srMqzybyTY4rIxykXFEMTC2oLrBrNs2Z5rCUXsQD8a16TL96sM+XUlb0Md4GXJxkLAb8LHFDCHEWsD2xqGsHRhLOOWqGnGKJWvLjGFeBnS0BGVrcEFticlgZIfHDlGwfkSpAuKa5VHdFBpBSynggPn/dr9aZsq2sECJPCPFlIYRVCFEO/JHU7UGTsVRCHgaL6qOtwGMkVu898HH0k+0dakk1sAKvL9mFzhPR6LSX2HPianm2i7XHnq7/Rf1rJoYggGsxtrhdhfHJ8w8mxpMWKiEPn+XAZhKHod61MrI4rssepyqPJAcpV7iByoJZBYWaXXOlOSzlAPFAvAl9v8OA0y5xBuZRUspCKWWJlPI70jjMIKephDxMEhf47sfYbc6yaqfe8v72+ApzozJdstV5VQCuGS7VXWEyGZOx0JbQ+Wt/vrbL7FhGIpWQh9Gi+ugGYClGkzu31kSWdYRlsgUROU2XciVe3+Ykw8cBXY5xDlWuMFlgQ+DGDf+3YbnZcYxUKiEPv2cwzupzdUaIPfhJdNFI7E3WkpwM4p7jzgcOy5+Zn685tMI0h6XsI7wj/HbLCy2/MTuOkUwl5GGW2MT+QWAcwEvrYxuXNcbNvFhilmTlipmAyK/MV7NjE8X8seaOjzq+6l/lH9HXOcymEnJ6vIfR4F4GcPO7kbc+ax05xz3pUtbi9a1PMnwsELSX2lW7m0n0qB4NNATO3/Hojt1mxzLSqYScBokDUe8BOoBigP9ZFnqmPSSHtJVhtjhIuSIPOMI13eWwOC1FaQ5LAaSUBDcE/3fTrZuWmR2LohJy2iyqj/ox9n8tAJxtISI3rgg/GonLiMmhpUOyk6UrAS1/Zr5aKm2SwPrAUy0vtvzJ7DgUg0rIabSoPtqIsVa/DNA+btJ3P7Y6+p9cvsanS1mP1/dpkuFjgLCjzKHa3UwQ+Czwfsvilkv9q/y5+w2YZVRCTr8VGCdVTwJ44tPY2ppt8ZzdO/kg5QoHcGReRZ5mybOMSnNYI15oS6i+5cWWr/pX+QNmx6LspRJymiX2ungMWE9iafX1b0Ve2+LTN5ga2PBJ1l0xA7Dmz1LlinQLN4W3tLzccrbv/aTL2BWTqIRsgkX10QhwJ8YG3W5dIv+0PPxkrh37pEu5Ea9vVZLho4GIs9ypuivSKNoW3dX6Wus32t5sS9b1ophIJWSTLKqP7gZuw9g72b6zUwZveTfySDgmQyaHljIHKVfYgaMcExzSkm8pSXNYI1asM+Zrfb312y0vtaw0Oxaldyohm2hRfbQe44SECYB4b1u86R/vRR7Koc6LZOWKaYC98LBCdW5emsQ6Yr7W11p/2Pxs8ytmx6IkpxKy+ZZi7AxXQeKUkQUrIw/HdBk1N6yh0aXchrEgpjefA2KOcocqV6RBtC3asuu5XVcGNwQfMzsW5eBUQjZZ4iLf/UANiQMfX90Q33zvh9FH47rM2nPCNCGewuvr0U7lnuO2Asfax9uj1kJrqQmhjSiR5siOpqebrok0Rx5U7W2ZTyXkDJDYqvNe4CMSSfmFhtiGhR9HH8vipJysXDEVcBZWF05LZzAjUWhbaHPTU00/i3fE71N7VGQHlZAzxD6dF2tI9Cg/szbWcO+H0X9nW/lCl7IZ49DK3swB4s4JTrUYZBgFNgYamp5u+i89rD+uknH2UAk5gyyqj4aB24EGYCLA4obYhjvfjzycTRf6NCGexuvrkQTcc9wW4HjbGFvI4rZMMCG0EaFzbefqXc/uusy/0v+yKlNkF5WQM8yi+mgQuAVYS6J88cqG+KZbayIPZFFLXLJyRQXgKjy8cKoQIo3hjAwyLmPtK9rf3P3S7ov9q/wj/XSarKQScgZKJOV/AB9jJGWxfFN8243vRBZ2RjL7XDHdONr9jSTDcwDdOUmVK1ItHoj7mp9tfsb3nu/7/lX+j82ORxkclZAz1KL6aAi4A1hJoiXu3a3xnf+9JHTXNn/mnmCtCfEMXl+Po+Pdc9wacIK1yBq0eqyTTAgtZ4V3hDfteHjHA6HNoV/4V/nrzY5HGTyVkDNY4kLf3RgXyA4BbNs7ZOAnL4YeeH9b/B1zo0sqWbliEuAunF14iFD1ipSQUkr/R/4Pdz6+86Z4V/w3/lX+ZGcWKllCJeQMt6g+GgX+CTyMsaKvMKYj/7Q8vOSR2uiT0Qy62Kcbx7QnWwk2G9DzJuepckUK6GE90PJiy5K2N9p+j+Q2/yp/p9kxKUNnNTsApW+JE0denldp2wxcAbiApkdWR9es2x1vvuoYxwUepxhtbpQg4Dm8vh6/INxz3AI40VJoCViLrBXpjyy3hHeEG1uWtLwea4v9zb/KP2KOAhsJ1Aw5iyyqj9YBfwR2Ylzs0z7Yoe+68qXQPRvbdNNrh0KIZOWKCcCowiMKJwlNqO+5QdLDemfrG61v7Hxs572xttgvVTLOPeqHI8ssqo+2ANdjdDJUAI7WoAxf9VLo0eWbYq/rJh0/IqUMAC8lGZ4NyLzJeWrvikGQUhLcFFyzbeG25zo+6lgA/NW/yq8OJM1BIpePD8pl8yptAjgRuAzwA+0A58ywTv1Wte2r+XZRmM54pJRPimv93zzw/kS54s9anpY34fsTfiw0YUlnXNkuHoi3tr7R+n5gXeAD4J/+Vf5cPchAQdWQs1ZiU6Ll8yptW4GfYJzTt/25dbHP3tocu+2ncx2nzinV5mpp6mgQSfY+BkqBce45brdKxv0ndakHGgIf7X51d62MyieAJf5V/qxaQq8MnJoh54B5lbYi4L+AQzHqy0GAueWWcd870nb2uAJtWJcpSynDQogxeH09rvS757i/CFxQ+q3SY+0ldlWy6IOUUoa3h9e0vtG6LroruhJY6F/l3252XEp6qIScI+ZV2izAccC3MD757AB0AVx+pO3IM6daT3dYRd5wvLeUcpG41v/VA+9PlCv+pDm0wgn/NeFHwiJsw/H+uSLcFF7btrxtdXhbuBX4N/CWf5U/W3f7UwZBlSxyxKL6aBx4c16l7RPgPIz6sk9C270fRj98oSG29qdz7WdUjdGOSHUV4yDdFWOB8sLZhS6VjJOL7I5saH+r/aPgxqAP42Lt8/5V/laTw1JMoGbIOWpepW0G8B2Mk613ABGA06dYJl1yuP3s4jwxNhXvI6WMCiFK8PraDxxzz3GfBlw8/sLxRznGOw5LxfvlkqgvusW3wvdhV31XG/AOsMi/yr/T7LgU86iEnMPmVdpswGkYM2Ydo74sbRraj46yzz1+ouX4PJvIH8p7SClfFtf6v9TbmHuO2ytsYtTEH0z8gbAK+1DeJ1dIXeqR5sinvvd99cHPgp3AKuBp/yr/FrNjU8ynEvIIMK/SNha4COMsuxagA8Blw3rx4bbZJ06yHudxilGDfPnv4/Xde+Cd7jnu0cAN7s+5HcUnFl802NhzhR7RO4Obgh+2v9PeGGuNSeBT4Elgo9qzWOmmEvIIkehbrsboWy4G2jD6l9EE4puzrDPPmGo9viRfK+/va0op40KI8Xh9LQeOuee4TwK+M+78cXOcZc7ZKfkisoyUUkZ3R9d3re36xP+h34eOBnwIvAw0qESsHEgl5BFmXqXNjrEv8dcx6ssdwJ5VX2dOtVacPcN6/OQirc8z76SUr4tr/af1Nuae4/6tsIhxE3444fuaTXOmKPyMJ6WUMV9sc2hraG3HRx1boy1RCxAGXgWW+1f5m00OUclgKiGPUPMqbRpG3/I8YBpG0mgCJMBRZVrJebNsx88YrR1mSb7/xBV4fbcfeKd7jrsYuFFzajuKTij6nHOCc6bVY52Uq9tuyriMRVujnwU3B9d2ftzZGPPHCgAL0IixnPwT/yp/0NQglaygEvIIlyhlTAHOwqgxxzAu/sUBpo3S3OdWWY88rMRSvW+dWUophRDleH07DnxN9xz3ccAPgI3d91k91ryC6oIZzjLnFGuxdaIlz1I8vF/Z8NLDekdkd2RDcGNwbecnnTv0sO4GBNCJsX/1CmCbKksoA6ESsrLHvEpbKXAGcBJGcmnGmDkDcNxES+mpFZbDZ421HFZg52Nxrf+E3l7HPcd9KHA5UIQx4/aRqFd3s422FbimuiY6Sh0TbaNsEy2FltJMXVot4zIW64ztiLZGt0Z2RrYGNwS3RnZFBOBJPKQJeBuoBbaoU56VwVIJWelhXqWtGDgZ+CLgBKLALozZc6mAt5+9yPUyXl9TstdIrNIrxyiLHIdxirZM3DoxEvSexCXswuqa7ipzljnLrW7raEu+ZZTm0oo1h+ZJV6lDSillRHbEg/H2eCDeFm2Jbg9tCW0Nbgw2y5h0Ad2zYAFswEjCnwLNaiaspIJKyEpS8yptVmA6cEziZgMcwHWL6qOfDuS13HPchRj7Ik/B6PaYirH9q8DYe8PPPrPxbsIqNMd4R7FtrK3YVmwbZXVbizWnViCswi4swi6swiEsiT9bhB0L9u4ELuMyJnUZRScq49K46TJKnKge0dL+o2UAAAFySURBVAPxznh7rCPWFmuPtUdaIu2R5ohPRmUc45eQO/Hf7l8am4A1wGfAJv8qf4+FMIoyVCohK/0yr9LmACoxNsZ/OXHe36C557htGDvUTQQOA2ZilAC6926wYMzMg0AocevXN6uwCUsisSajYfxiycNIujaMxCsTY21AXeK2FdiudlpT0kElZCVjuOe4HRg90qMSt1KMWXUZ0H1EVXfZo5vY57/aPuNyn8dzwOMlRgmmCdiOsbS8HSMRtwNdqgShmEElZCUruOe4rRgzWgdg7+XmwJjpxjFm1gfeIon/hoAOdeFNyUQqISuKomQIdaaeoihKhlAJWVEUJUOohKwoipIhVEJWFEXJECohK4qiZAiVkBVFUTKESsiKoigZQiVkRVGUDKESsqIoSoZQCVlRFCVDqISsKIqSIVRCVhRFyRAqISuKomQIlZAVRVEyhErIiqIoGUIlZEVRlAyhErKiKEqGUAlZURQlQ6iErCiKkiH+P+5M1Oyq37mCAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Pie chart, where the slices will be ordered and plotted counter-clockwise:\n", + "labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'\n", + "sizes = [15, 30, 45, 10]\n", + "explode = (0, 0.1, 0, 0) # only \"explode\" the 2nd slice (i.e. 'Hogs')\n", + "\n", + "fig1, ax1 = plt.subplots()\n", + "ax1.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',\n", + " shadow=True, startangle=90)\n", + "ax1.axis('equal'); # Equal aspect ratio ensures that pie is drawn as a circle." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Figures with multiple subplots and insets" + "\n", + "\n", + "### Text annotation\n", + "\n", + "Annotating text in matplotlib figures can be done using the `text` function. It supports LaTeX formatting just like axis label texts and titles:" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "\n", + "ax.plot(xx, xx**2, xx, xx**3)\n", + "\n", + "ax.text(0.15, 0.2, r\"$y=x^2$\", fontsize=20, color=\"blue\")\n", + "ax.text(0.65, 0.1, r\"$y=x^3$\", fontsize=20, color=\"orange\", \n", + " horizontalalignment='center', verticalalignment='center');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", + "### Figures with multiple subplots and insets\n", + "\n", "Axes can be added to a matplotlib Figure canvas manually using `fig.add_axes` or using a sub-figure layout manager such as `subplots`, `subplot2grid`, or `gridspec`:" ] }, @@ -1670,17 +1865,19 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 54, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1822,19 +2025,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Colormap and contour figures" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "### Colormap and contour figures\n", + "\n", "Colormaps and contour figures are useful for plotting functions of two variables. In most of these functions we will use a colormap to encode one dimension of the data. There are a number of predefined colormaps. It is relatively straightforward to define custom colormaps. For a list of pre-defined colormaps, see: http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps" ] }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 59, "metadata": {}, "outputs": [], "source": [ @@ -1847,7 +2047,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 60, "metadata": {}, "outputs": [], "source": [ @@ -1866,19 +2066,21 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 61, "metadata": { "scrolled": true }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1954,19 +2160,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 3D figures" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "## 3D figures\n", + "\n", "To use 3D graphics in matplotlib, we first need to create an instance of the `Axes3D` class. 3D axes can be added to a matplotlib figure canvas in exactly the same way as 2D axes; or, more conveniently, by passing a `projection='3d'` keyword argument to the `add_axes` or `add_subplot` methods." ] }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 64, "metadata": {}, "outputs": [], "source": [ @@ -1982,17 +2185,19 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 65, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -2019,17 +2224,19 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 66, "metadata": {}, "outputs": [ { "data": { - "image/png": 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+4xRf2p4brCaOJssdmS4XgUrimfZi3W53mPGEKHYSYnrBM1OvqFKpXLTRwpjLy3vNZg6bhhkd97C1WMn712ZEtH4bHx+nsbERu91OcXFx2MzPAEs1HDyUUBvCwsJCysrKIopv6Oi0AKFVrCMjIwwPDzM+Po7dbg8+1mg0otfrL6obSSS+/zcTQ2NuYjRK1EqJtxqHAPjRq00AKCS4aU0aX96RT0acDrvTwxPVXbyvOJnitBjA/36nGFR8YVseP9/TymcvK6SytJRNPh+7B06ws97CB4rM+NrbcblcaLXasEzCYj6H5RTT5bx2AmIaidB7RyiiZUeI6QXLXNpcFiNcsizz9KEuHtzdxPDYhMH3sydG+N5Lp/nuDSXcvjkb8O/FtLS0MDAwQGFhIeXl5TOaP0RzOPjkcw4MCp/OhnA2JlexjoyM0NfXx4oVK4JmB729vcHZpIGb+vliOh8t2sxjvFDbh0YpYXdNLNju2JTBTWszGLK7qG4b5c9Hunnt9CD/dlMxw2NuLOMePndpbvDxgSKgOytzeOpwN795p53K/EQUCgVfvHwlu01HODyq57Nbi4PtIYFq4oGBAcbGxlAqlWH9sDExMXMq7lnOAqTlZCYxnY65tuy0t7fz8MMP89BDD0XlXM8lhJheYMynV3Shkanb6+Prz57glZP9VKxI4EtXFJClGae538oLjS5ePd3Pd148zR7TIPdVxdPd1UVeXh5VVVWzikm0zBYmR6Zms3lJBoUH3ludTodOpyMlJSX4u9DZpJNN50Oj2MVUbZ6rfO2508iAxysjAWuyYukcGeeb165CrfRfA1eWpHBnZTbffrGebz5fR5JBzbqsWNZnT9geBqJDrUrBZ6py+cnrTRxuH2VzXjyrM4xszovnL0d6+HRVDgpJQqvVotVqwz4Hj8cTNP/v6urCbrcjy3LQdCLwOUy+JmRZXpbFT2ArZrnweDxRuSYj3XuGh4eD9QgXGkJMLxAW0iu6kMjU55P5zguneOVkPwCt5jHsLi96o4q8eBU/v6OU+j4rn/x9Na+fHqC1f5QHP7Ke3Iz4OR0/2numgeIipVLJ+vXrMRgMiz72XJluNmkggu3p6cFms+Hz+aYUOk3nOXw+8LbJTEO/HQnwAR+/JIs/H+nhExXZQSENkBWv4zcfXcPnnjhGbbeNq0tTwn4fGh1+aGMGj7zXziN729mctxaAOzZl8o3n63iveZjthZGNPVQqFQkJCSQkJAR/5vP5GBsbw2azMTQ0RFtbG263G61WG/wMAvvhZ1vYlnuvdiGR6VyxWq1zdjE73xBiep6zmF7RhUSmv3+vjReO9fLlHQWUZsTyq7da+D9/quWjG1L56GodZrOZ4RYTv35/Kv/4qhmT2cWNv65m+6pkfnhLGelx2hmPH60bl8fjYWhoaMb92Wg8/3x7PpVKJfHx8cTHTywuAjf2gB9ua2srHo8HnU4XFsGeD8O/ZVnm3/9uAkACjFolWfE6PD6ZD6yLXDWuUytJjdWiUth54Vgvd2zOCtszDbxmvVrJXZU5/Gx3C6d6rJRlxnJ1aQpJMWqePtwzrZhGQqFQBFO/oefudDqDix2n00l1dXUwTRz4HOaaJl4oSylmc2EpxdxisYQNXLiQEGJ6nhJovna73Qs2XJivmNZ2jfLgriauK0vj3h0rkSSJy4tS+OErDTxV3UnPgIJ/qBhj7dq1xMTE8NeV41z3i/dwuH0caBni1t/s54EPreHSwuTZn2yBBIqLuru70Wq1bNmyZUkFKBoGCtPd2MfHxyPa9QUqLe12e5hd37nAWyYzfVb/HpkMfOySbF6vG6QoLSYokJMx2128ZRritvUZ7DGZ+dqzp/jz5zZh0CinRIYf3pjJb95p40+Hu/n3m0pQKxVsL0jkpRP99IyOkxk/8wCEmZAkKSxdPzg4SEVFxYxp4tAJO9HaOljuyBSWrgDKarUKMRWcG8w2V3Q+zCel6vH6+N6Lp0k2avjPD0xY/HndTj60ws3IgIq/t3rYXJrAxhj/TTM9TscfPr2ZDz9SjSxDgk7FF548yu/v3Ehlwfy8dmdDlmW6urqCM043bNhAU1PTOSU080GSJPR6PXq9Pmyqi9PppKuri9HRUZqbm3E4HGGRU6DAZrluxv92JipdlaKnxezg8lWJPLy3nX96X8G0f/O3E/14fDKfqMjihvJUPvtELb95t42vXblyipjG6lTcuCaNl473c99VK9ljMrPzZD8ysPNEP3dvy4v6a5opTRzIJoSmiUMFdiHVxMsdmS7ld0aIqeCcwOfzMTw8jMPhICUlZdGN0vOpnH2qupO6Xhu/uGMtcXo1breb5uZmzGYzRUVF/OttudiePcFPdzVRmhHLFcX+va91OfF8eFMWfznSjUKhIDdRz5eeOsYTn7mE1VGa/DE4OIjJZCIxMTE44zRa5g+zcbat/QI3a0mSKCjwC5TH4wkWOnV0dGC32wHCKlgXOzZtLuxtMjNoc6OUYNDu5sqSFA53WAC4vix12r/beaKf8kwjhakxFAK3rkvn8QNd3LI2nRTN1Cjtjk1ZPFPTy/2vN/HS8X4qCxJwuLy8dLyPz1+ae1YWUHNJE/f19QUXO6H74bMtds6FyHSpsFqtZGWdnRF6ZxshpucBob2iY2NjDA8Pk5o6/c0p2ticHn71dgtVBYlcXZJCS0sL3d3drFixguLiYiRJwmaz8cWNRvrGlXz3xdPsvLeKxgE7v9jdxMHWYcA/x9Ko9a+4/+Gpo+z80laMuoVfglarlYaGhojFRRfTcHCVSkViYmLYvnBgbFrgpj55bFogip1ranIur/HbLzYAsKMoiV0NQ3xkUyY/f7OV8kwj2QmR069NA3ZO99r4xjUrgz/76pUF7G4w84NXG3ngxrwp4liaYaQkPYaXjvezPieOX364nJ0n+vm3l02c6rFRnrU8BS6T08QB3G53ME3c2dkZTBPHxMSELXgCRWfLGZku9dhCq9UaVi9wISHE9BwmUpuLWq1etNHCfPnD/naG7G6uWKFn3759ZGVlUVVVFfaFVygUKCWZH99WzocfPsgnHz1EQ7+d1FgNX7y8AI1S4sHdzYy7fXh8Mjanl68/d4LffHzDvM/H6XRiMpmw2+2UlJSEpd8CnC2j+3OVwNi00JSaLMvB1OTw8DDt7e1hqclA9KTT6eb9XuxtGmJozI1KAQN2N/lJenISdJzosfLVK6dP8b58cgCFBDeUTaSyk2I0fPmKfH7waiMH2q0UGsLPxe31MerwIAOfrspGp1ZyTWkKP3y10R/lRkFMo7lAUqvVUxY7MxWdBZzJHA7Hgj6LxbBYg/3ZEGlewVllpl7RaLgWzQeHy8v/7G1DAfxkTzeV+Qn81/rsKV+4wP5rWaZ/cPPxbivbCpN46KPrMWj8j93XPMSB1hFuXpvOmw2DvFk/yH/vaebeHSsjPPNUPB4Pra2t9Pf3s3LlyhnNH85WxHguRKZzJdDjGhMzUQgUKHQKbdcJGE7MVWBlWeZf/xaISpN5o97M169eyZsmMwBXl6RM+3evnR6gYkUCKcbwCPlDGzN4dF8H/3Owj//cEb5YenRfB70WJxqlxNumYa4q8U+P2VGUzMun+rnv6pWLnnW61KnWmYrOurq6sFqtmEymMPOPuaaJF8NSR8VCTAVnhbkYLpxNMbVYLDz06nEsTi8P3b6aLpuXB3c1cttvDvDzj6zlkhUTK+2AmD7ybhvHu60YtUoGrE60qokv/Q9vLefqB/fy0vE+VmcYMfXb+eWbzWxdmcSmvKnRZYDJxUVzMX84W2newPmdr4QWOoVuHbhcrqDADg4OMjY2hsPhoL6+foqTUGgFb6JBg0ohcdOaNP75r6dZlWogL0kf8bkb+u20Djm4c0v2lN+plQru3pbHv//dRE2vgaIi/897LU5+/14H15SmoNcoea1ugG9dV4hOreTG8jRerxvkUNsIVQVza4WajuXYtwx8FoHK4Lw8fzFVaJo4dE88tDfZaDRGpTc5WoYN0yHSvIIlZT6GC0shppMrJsfGxvyrYqeT3Z0+NuTEc/WaLCRJYlthEl9+upa7nzjK45/ZzJos/ypToVBwatDFzw40cuOadK4qTeFrz5zkhWM9fHCjv+AgJ1HPjWvT2Xm8j66RcTw+vwh97vEadv3TtrDpH4FzChQXJSUlBYuL5sJCI8b5NulfSKnhUDQaTZjhhNfrpaamhvT09LAWEZ/Px3/u9U8VKU7RsbthkMtWJaGU4HD7KFeVpPDXo70UphooTotBF2Js/9rpQRQSXFUaOXK9dX06v32nladPWvnwdv/n8tBbrXh9MvddtZLOEQcv1vaxx2Tm+rI0thUmolcreL1u8LwU0wCTo8Pp0sR2uz1om9jS0hLWmxwQ2Pmmib1e75IWqok+U8GSsBDDhWiLaSCiVCqVuFwumpqaGBkZoaioiPpRiY6RGr5yVVHwC1mUZuSxuzbzsd9Xc/cTNfzpcxWsSDbg9Mo8cmyc3EQ9//6B1cRolDy2v4MHdzdxQ3k6+jOp3m9eV8zfTvThcHu557J8fvtOK2MuL/c+dYwnP3sJCoX/PbBYLJhMJtRq9YKcixZqS7jUpg3nKwFrvcktInsaBukbOwXAuhQlz9SNY3CP8KHfHsAnw+t1g7xeNwj4DRw+XZXDnVtyMGiU7G4YZFNuPMnTjFBTKxV8ZF0Sv3yvj9puKwl6NS8d7+OTW7LJTtCRGa8lI07LC7V9XF+Whk6t5LJVSeyqH+Tb162KOGxhriynmPp8vlkFLXQIQ2ZmJjB7yj4gsDOliZc6zWuz2S5YB6QLs/76HCdguOByuXC7/Sbxcx1XtBRiGmhzqa6uJj4+nqqqKlJSUniqupNEg5rrQopDANLjtPzuzo34ZPjHP9fi8vh4+J02Bhwy//GB1Ri1KiRJ4uvXFNFncfJsTXfwb9NitVxTmor7jGfrj24tA+BIxyhPHOxgfHwch8NBXV0dq1atWrAF4NncM71YkWWZh/d2AKBXKzB7tWiUEn9r8WJ1SRjUCn58VTL/tcPIl9apKEmQeOitNj7w6wPsOtVD48AYV5bMbOBxbVEcBrXEkwe7ePjdtqBHL4BCknh/eRr7mocZOTNs4ZrSVMx2NzWdo4t+bcv12S5U0AJp4tTUVFauXMm6devYsmULa9euJSUlBbfbTUdHB4cPH6a6uprTp0/T0dHB8PBwcGtpqcV0LguF85UL81Wdw0SaKzrftGK0RCJg/lBdXU1OTk5Yha7Z5mJ3/SB3VeWhUU1dc61MieFHt5bxD388xo9eaeCZmm4uzVKGmTFsyU9kc14Cv9vbykc2ZweP841ri3jt9ACP7e/g4L9cwSsn+3jLZOZHrzSQZG8nUadhw4YNaLUzWw/OxEJuhF6vl9HR0Xn3ZF4skenk9/RQ+yjHu60AZMZpedPkH7H2xe15/PFQN+8rTubGqpLg33/W5eLd+l6+/3oH//yC39whzdVLQ8PYtJN1dCqJa1fF8tLpAZAkPrY5K6xY6drVKTy6r4M3G8zctiGDy1cloVUpeKNukEtm2IefjeWOTKP53JHSxIE2u8Cs3kCaWJIkVCoVAwMDxMbGRtXC8kL/nggxPUvMNFd0PkTjwpZlmcHBQRobG/F6vaxbt25Ke8nO4714fTIf3Jg57XGuLEnl9k1Z/LG6E7VS4oOrpqbr7rksny88eZSdx3uDe6e5SQYqCxI50DLMnw938g8VCbxtMuOT4VGTmu9UqM7qF0+WZXp7e2lubiYmJgaHwxHsyQzc5Kczn79Y0ryReHRfBwoJfDI0mx0AfOWKFWxekcBv3m3nslUTCyvpzESXq9atoCQvjVt/exiF7CO/sIhUnQ+r1Rpxso7T6eSmYiPPn7YgyTKfnFSsVJZhJDtey6unB7htQwYGjZJtKxN5o26Qb15TeF7OMvV6vUv+3AEjicmzetva2oLzeru7u4MWlqHVxIsdJXihZnOEmC4xsixjsVhQqVTBVO5yXkyjo6M0NDSg0+nYsGEDJpMpYlrnhWM9lGfFUpRmjHCUCe6szOWZI90YtSoSdVNf1+VFyZRmGHn43VZuWZ8Z3Mf62lWF3PG7Qzy0y8T/fjCbD2/K5M9HejjZY+XtjhhWr17a5vEAIyMj1NfXExvwlHShAAAgAElEQVQbyyWXXAJMCGSkPsBAtWXgRnSh3hgmMzkybTWP8W7TcNhjUmLUfG5bHr98qxWlBFunKQKK1apwe31oVQq++td6nvrMRvImRU2B6tWRkRHGxsZRSKCUwDXSx5BvYnEjSRLXrk7l8YNdjDrcxOvVvK84md0NZur67KzOmPn6nY7ljkyXw7RBkiSUSiUJCQnBfViYqOyONEpwPg5bLpfrvJ6GNBtCTJeI0DaXU6dOUVpaelbHf01mbGyMhoYGvF4vpaWlwRVppD3Y5kE7J3usfOv64lmP+6dDXSgVEsNjbt7plNg+6feSJPGF7fl87ZkTvG0a5H0lqVitVty9JlL0CgYdPka1aXzxCj3PHOnBB/xvrZ3PXrm07T8Oh4OGhgY8Hg/l5eUYjcawQcahPZkZGRnAVPP5zs5OnE4nLpeL5ubmoMCeD9NdFkLoa/rT4e4pv799YyaSJPFe8zDrc+KIm8bdal/LMD4Zvn51IT9+rZHvvFjPLz8y0TMcOllHlmWONdrwyf34ZDjW76bcHW5ysCZeg8cn89rJXm7fnMNlq5KQgD0m83kppsvpgBR4T0OZXNkNEw5bNpstzGErdLE5edLRhTx+DYSYRp1IvaIqlWrJ21mmw+l00tTUhMVioaioiOTk8IKPSGb3fz/RhyTBDeXhhUeTGbK7eLammw9uyKR5cIznGkf48rhnikXgtWVppMZqeHx/OymuXhwOByUlJXxZsvKvL9XxyzebeeKzl3DTugxePtHLuBf+a1cL/3Hbujm+G3PH4/HQ3NzM4OAgRUVF87JljGQ+73a7OXbsGLGxsVNSY6Ep4oUYnp9LhKaybU4Pzx3tDf67MFlPk9nBDeVpDI+5OdVj40uXr5j2WG83DpGgV/GhDRk4PV7uf72Zl08OcOOaqdebLMvsrBtlVaoBs83FW+0ubt1SFvzd+Pg46RYLqQYzL9V0sMLXg1qtpihZza7TfXxqU8qCJuss54Du80HIp3PYcjgc2Gy2sElHKpWKxx9/nOzsbNRqNR6P54IsQhLVvFEiIKJOpzO4kR9I66pUqqC4RoO5THvxeDw0NTVx6NAhEhMTqaysnCKkEDky/fvJPjblJpAeN/M4q2eOdOPy+Lhrax7/cn0RFhc88m7rlMdJso9rCvTsbR7GrU2goqKC+Ph4bl2fiVal4FDbCP1WJ3dW5eLx+dN5zxzrx2xzzv5mzBFZluns7OTAgQPodDqqqqqi4m8c+JwDFZTr169ny5YtlJWVkZiYiMPhoKmpierqao4cOYLJZKK3tzfoz3q+ELp4e6G2D4fbf/0pJNColaxON7IyxcD+lmFk4NKVkVO8Pllmb9Mwl65MRKmQ+Pgl2azLiuUnrzcxfKYiN5QmsxOT2cntGzO5eV06e0xmhuwT2QO9Xk96ejrXlqdzasjHmg2bKS8v5/LCROoHxjly2v/eHz58mPr6erq7u7FarbN+fwKtQMvBckami3luSZIwGAykpaVRWFgY9l3YsWMH3d3dtLS0sGXLFqqqqrj77rtpamqa9ng7duxAp9MF92tLSkoiPk6WZb75zW+SnJxMcnIy3/jGN5bluyXEdJGEiuh0bS7RbmeZ6Xg+n4+Ojg4OHDiAUqlk69atZGZmTrvKnizMzYN2TP126vts/PSNRiyOqTc4AK9P5k+HOtmSn0hRmpF12fFUZCh5/EAHo2f+RpZlOjo62L9/PzeXJaFSSLzW7Aiei06t5MY16cjAH/a1sy47no258ehVEj4Zvvfi6UW8SxOYzWb279+PzWZjy5Yt5OXlRe1GOV0BklarJTk5mfz8fNauXRtsUUhOTsbpdNLS0hK8yTc0NMz5Jr/cyLLMY/s7g/++YlUSp3ttXF/uX5i81zxMnE5F+TQTgU732hgacwcHeSsVEt+/sRjruIcHd7dMefzrjVbUCokby9O4dV0GHp/M3072T3ncjqJknB4f+1uG0Wg03LDe3z7Tr0xly5YtrF+/nrS0NLxeb1h7yKlTp+jo6GBkZCRswbvce6YXkpDrdDpuueUWbrvtNq699lqOHDnC7t27ufvuu8MqjCPx0EMPBfdr6+vrIz7m4Ycf5vnnn+fYsWPU1tayc+dOfvvb30b1NcyFCy/WPksEekU9Hs+sc0WjneaNJKayLNPf309TUxMpKSlUVlbOKZUy+Vi76gYAWJsVyyPvtrLzeC8P3L6Gjbnh1b7vNpnpGhnnn68tCv7sllVaqt8d4/H97dyxJg6TyURycjKVlZWo1WquWT3GszXdfOXKwqCJw2e3reC5oz38/r02GvptbFmRQE3HKBqlxO76QbpHxsmaZuLIbPh8Po4cOYIkSQvuV52N+VTzqtXqKXtPkcanSZI0ZT7p5Bvc2V55ByLTmk4LPZaJjEF5ppE3TUNcuzoFWZbZ3zpCZX7CtIYJ7zX7i5ZCi5OK0mL46CVZ/LG6i7uqcliZ4v+c3F4fe1rtXJpvJMGgJsGgpizDyMsnBrhzS07YcTfnxROrVbLHZObKkhSKUg1kxWt5q3GID23MnHGyzuR9P4PBgCzLqNVqXC5X1IZ+z5WzUc0703MvVVQc6strMBjYsmVLVI772GOPcd9995GT478m7rvvPh555BG++MUvRuX4c0VEpgsgYLjgcrlmtf8Dv2BFM807WQCHh4c5ePAgAwMDbNq0ieLi4jnvSUyOTHfVDVCeGcv/fnozT32uAoBPPHqY10+HRwPP1XSTYFBzVclEqrQgUcP2gnge3dtKU3sXGzdupKSkJFjB9/EtOVjGPbwacqyiNCM5iTp/cUmnhd++24ZG6a8MlYEf/D3yanQm3G43dXV1OBwO8vPz2bhx47IWf81E4Cafm5tLWVkZFRUVbNy4kczMzKAncU1NTTCK6uzsZGxsbNki2NDoMT1Ww1uNw5RlGMlJ0NM+PE6vxUll/vT9nXubh1mdbpxibP+FbXno1Up+sWfi+Puah7E4fVxXPHG8G8pTOdFjpWPYEfb3aqWCbYVJvNU4hO/Md3J7YRIHW0dweyO/V4F9v6ysLEpKSti8eTMVFRUUFBSgUqlwOBycPHmSgwcPcuzYMZqbmxkYGMDhcCzpYuZCi0wDLMTk/lvf+hYpKSls27aNPXv2RHzMyZMnWb9+ffDf69ev5+TJk4s51QUhxHQeBETU6XTOy3RhqdK8NpuNmpoaWlpaKC8vZ82aNVMq8eZ6LIBBm5OjnaNcWeoXyA258Tz/xUrWZsXx1b8cZ2+TfwrIyJibXXUD3Lw2I2jEELAxuyrDhd0tc9yRgF4fbnBesSKB3EQ9z9WEV4LeVek39C7LiuWey/Jxe6Hb4kKlkNhVN0DH0NicXovP56OtrY2DBw8G++FCo8ClYCn6TAPVrDk5OaxevZpLLrmEzZs3k5ubi0KhYGRkhL6+Pqqrqzl58iTt7e0MDw8HtxmWAlmWsblkajotwZ9dVpjE8W4r1672Xy8HWvxR53Riand6ONZpYWuE/dREg5pPV+Wwq97MsS7/c/ztZD+xGomK3ImK3OvOPNcrpwamHGNHUTJDdnfQSOLSlYnYXV6OhpzzbIS2fGRkZLBx40YqKiooKSkJFpmZTKYpe+A2my2qC5zzzX1pLszXl/cnP/kJzc3NdHV18YUvfIGbb7454h6rzWYLM8+Pj4/HZrOd9eyNENM5EHAKcjqdeL3esOKiuRDtAiSApqYmTp48SX5+Pps2bQob5TQfQiPTt01mZBmuDBmZFadX8/AnN1CQEsO9Tx3D1G/j7yf7cHv9hg4ejweTycSRI0fQ6XR8YPt6tq5M4okDHXgmRQSSJHHbhkwOtAyHRRaX5CcgAfuahriyJIWvbJ3YT5OBn++evkgB/J/PwMAA+/fvx+VyUVlZSXZ29gVlqBDwYs3KyiI7O5vMzEw2b97MihUrUKvVDAwMUFtby8GDBzlx4gStra2YzeZgq89ikWWZJ0/6FzWBqz4QXV672n+97G8dIT1Ww4pppsQcbh/F45PZWhBZbD9VmUOiQc0j77Yz5vLyZoOZrbl6NKqJm3tmvI6NOXH8PYKYbi9MRCnBWw3+RV9lfgIqhcTe5uEpj52N0GrewNDvyTZ9a9asCe6Bt7a2cujQIQ4dOkRdXR1dXV1YLJazPnt4sSxlVDzfiTGVlZXBVrO77rqLbdu28fLLL095nNFoxGKZWDBZLBaMRuNZX5CIPdMZmMtItLkQrcjU4/HQ0tJCf38/OTk5FBUVLfqCCT23t01mUmM1rM4ILx6J16v5/Z0bufXXB/jaMyeI06pYmWLA6B5h//5a8vLyqKqq4sSJE8iyzJ2VuXzpqWO8UTfA9eXpYce6bUMWv9zTzPNHu7lkRSI/faOR2q6JL8IdvztEbryadKOaPps/0vrbiT6+dX0Jycape1dWq5X6+no0Gg2bNm0Ki8wDYrqUU2CWs90ldCZmqNl5pAHggWkiob2w80GWZfZ2+YVZxh9JvtfiT9nmJurxyTKH2ke5rDBx2vdkX+sIWpWCjbmRb6gGjZKPbc7iV++08ZeaHhxuH9tzp049uaE8jR++2kjjgJ1VqROzWeP1atbnxPFu0zD/+L4CjFoV63Pi2Ns0xD+9b/oB5ZGYi6hE6r/0eDzY7XasVmtwso4sy1MMDmYyL1jOa2opPYkXO8t0usVxeXk5x44dC+7BHjt2jPLy8gU/z0IRYhqBaIlogMVGpoEK3c7OTnJzc8nLy4vaykuhUPgn13h97G0yc/Xq1IjHTYvV8uPbyrj7iaMA3FqoZnx8nKqqquD+bCDK3VGcQk6inscPdEwR06wEHVX5ifzvvnYe2tNCdoKOb11XhFeWuf+1RlKMGlQK6BidiKh8Mjx+oJ1/umpV8GculwuTyYTNZqOkpGSKHSJcnFZ/Mw0ADzWbcLlcaLXaOQ8Af+nEYLBtySvDJXnxvF43yJevyAegaWCM4TE3FSum3y/d3zLMxty4sBm3k/noJVk8uq+DP1Z3kRSjpiRZNUXUrilN4UevNvLa6YEwMQXYXpjEL/a0MmhzkWLUsH1lIj8P+fdcWWhrjEqlChpOBJg8Lq25uXmKwUHoAudCvWbnI6YjIyMcOHCAK664ApVKxdNPP83bb7/Ngw8+OOWxn/rUp/jpT3/K+9//fiRJ4oEHHuDLX/5ytE9/VoSYhhAYidbV1YVerycuLi4qgrXQyFSWZfr6+mhubiYtLS1Yodva2hq19JFSqcTn83G004Jl3MMVRZFnSwJsSNdQmqSkbsjL5tJ8iovDG/OD49wUEp/cksOPXzVxusfK6pA2CZ9PxuWVsTm9XFmSwoMfXotWrcTl8fHz3c0M2lzcf/sK9reP8fDBAVQKCY9P5tG9bdxzWQFalURbWxvd3d0UFhZSVlY27Wd0MYppJCKZTQTcniwWS9i4runMJh7Z3wNAcoyafpubzDj/jf/qM7NID7aNAEwrpoM2F40DYxGNGUJJNKi5eW0af6np5aY1aSiYGqmlGDVszI1jV72ZL12eH/a7gJi+1zzMB9alkxnvz1TsbR7ilnUZc37PopnunG5cWsADN3SBo9FocLlc9Pf3YzQaz3uzj1DmI6Zut5vvfve71NXVoVQqKS0t5fnnn6ekpIR33nmHG264AZvNBsA999xDc3Mza9euBeDzn/8899xzz5K9jukQYsrUuaKBSfbRmgi/kGreoaEhTCYTsbGxbN68OSwtF4gmo3VuXq+X95rMKCTYunJqwc74+DgNDQ04nU60Oj0qhZ3Hq7u5bXMuauXEDSd0//VDG7P4+e4mnjjYwQ9uKQs+5v+93sjh9hFUColUoxbtmWHRGpWCa1ansvN4H7sarXx6cwoNwzJ7TP5ZmE6vzG93n6Ii1kJmZmbYhJvpmIu5xWSWc/TW2SRgPJ+amhpmXuFyubBarVitVvr7+3E4HJidEgN2f8rdbHejVkrU99vIT9azMsWA2e7imZoedGoF3/jraeL0KlZnGLm+LI3iNH/keKjdL7aVM0SuAUrS/fv/MtN/HleWpPBfbzTTMewgN1Ef8rcxJMeoebdpiBitku/trEch+VtylktMIxEwODAYDKSn+7M3AYGtra3FbrfT19eHw+FApVKFpYhnmke6GJb62p/PnmlqairV1dURf3fZZZcFhRT87+X999/P/fffH5XzXCgXdQFSQEQnzxWNdsHQfPpMrVYrhw8fpq2tjTVr1lBWVjZlfyuafasBwXmveYi12XHE6yf2cjweDw0NDRw5coSMjAwKStdR22PjmtWpNPTb+ePBzrBjBaJc8BcuvX9NBi+f6MPm9L+Xr5zs49H32vh4RQ7Xl6fz6ql+XJ4JsfvwZv9EkFca/IUbn9/uj3wDX+//OdjH5s2bWbly5ZwqDkVkOn80Gs0Us4mXOv3XX26MP8WbZ4RDbaOsTZL4znPHuPrn+2kcGEMlSRi0SvqtLh59r4MPPXKYrz93ml7LOAdbR4nRKMOyFNNR221FpZA40DKM2xvZ1u+qM3NQd9ebw36ukKQzLTJm7nv2FKszjOwoSqa6bXRe18JytKdIkoRarUar1VJQUBBm9pGamorb7aa9vZ3Dhw9z6NAhTp8+TWdnJ6Ojo1G5Hyy189Ji90zPdS7ayHSmuaIqlSqqbQZzEefx8XFMJhMOh4Pi4uKIe4ABotlqo1QqsY67qe2y8IXt+YD/vens7KSjo4Pc3FyqqqpQKBT85XAXsuwfq2Z1evnFm03cvC6DpBj/XtTkiPn2TVk8W9PN30/0saM4hX99qY71OXF86/pi9jaZ2Xm8l/eah9hR7E8VVqxIxKhVYh7z0Gh2sq1cR4pBgVqS6bHLjHvhTzX9fHpr3pxemxDTxeP2+tjb4o8q4w0qOuwe1qxIo6m2j+peN73WMaqyNOzvdnFHsZLrSzTExiYjq/U8d3KEJ6q7qW4fQaNUcElePKppzBwCeHwyb5nMbMyJo7p9lEPdTgoLpv5NToKekrQYdtUPcldVuIFDcaqBF2t95CXq+O3H1vLqqQF2N5hpHhyjcNIe63QsV69nJEGbbh5poNCpp6cn2ApiMBjC9mHnM6VFiOniuOgiU5/Ph9PpnLFX9Gw4FgVwu93B6C89PZ2KiooZhRSim+ZVKBSc6Hfh9clcujKR/v5+9u/fz/j4OJWVlWHWe7vrB8hO0FGaEcu3ry/G7vLy+71tYccKTatuzI2nMDWGZ2u6+Y+X6xlze/nxbeVoVAq2FSYTr1fxUu2EYbpSIXHjGn/K68XaPo7W1HBdaTL9Y5B6pnjkwV2NU1puZnptC+n9EwI8wc7j/mktSXolDWb/grDFPIYEuL3w8MfXcvU6/+Lmtu1rg2YTVnMfl8YO8Z0KNUqfh16LE6NKnnVRWdMxyqjDw0c2Z5IRp+X1lvFpU49XlaRwtNPCoG2iWM3l8fFCbR/g7zs1alVUnXFb2t86MufXvVzp/rmKeMBwIjs7m9LS0mAv8ooVK9BoNJjNZo4fP87Bgwepra2lpaWFgYEBxsfHp72+PR7Pkoqp1+s9625SZ5OLLjL1+XxhIhqJaKd5Iz2Pz+ejvb2drq4uVqxYEYz+5kI0xV6pVHJiwI1WpcDb30ivXjelxQTA6fayr3mID27MQpIkClNjuGltBk8e7OAzl+aRYtROES9Jkrh9YxY/ec0EwFeuXMnKFH9koFEpuK4snZ3He3G4vOg1SmRZZlu2mqcPw3s9Hh68azupZgdPHhlgW2ESzx/rxeH28T/72rh7++ytDguJTC0WCxqNZsbK1ouJX73dCsDlhfE8f2KIRL2K2i4rBo2CJz+zkewEHX892ktarIa8JP90ltB9sU0+H1ZdGz/Z3cGrDcNseusI+bEEh39PbhV5yzSEWilxWWESbUMOHnqrja5RF0URHKyuLEnmV++08U7jELdt8O+H/u69dkwDY+Qm6DjR4zdvyE7QkZOgY3/LCJ+oyJ5ynEicS5HpXAltlQoQWskdaapR6MDvpYxML4YF6kUnpjN56AZYCpOFALIs09PTQ0tLCxkZGXMqpJlMNNO8brebEwMuihJUlK8unTYNc6B1GIfbxxXFE9W+915RwN+O9/LIu2186/riiJHgzesy+MlrJoxaJZ+9NLz698a16fz5cBd7TINUZWmor68nJy4Oo0aBzeWjttvKxtwEStKNtJjHMKgVjLn9Vb8fr8glRjvz5TsfMR0dHaWurg6NRhM06IjUm3kxCeyAzUmv1YUEuLz+99Hm8l9337muiOwEHbIsc7h9lM158RHfG4VCQdOwmxiNkgS9iodqvfzx0+tJUPuwWq0MDAzQ0tISHLz+xmkrGzINqCUft67L4L/fauPlU2a+kjk1W1OcFnPG0tDMbRsyaB4c45G9Hdy4Jo30WC1/ONDJmMuLQaOkqiCBV04N4PHJs6aaYfnENNrPG6mSG8ILzQYHBxkbGwtG493d3UFP6Gi/Bxfy9+eiFNPZiLaXbgCz2YzJZCI+Pp6KiooFpzyikeYNzPVs7h6g2w4fqVwx437GWw2D6NQKKvMn9m0KUmK4dX0mf6zu5PPbVqBQKKbsNR8+U8UpQVjlL/j3SBMNKp7eW0/6JUbWrl1LTEwMV54Y58WTQzy+v4O1WXG8f006P9vVxIc2+vdg3V6Zh/Y0883rZh5erlAoZhVTp9NJQ0MD4+PjwWKvwN84nc6wFf34+HiwNzMuLm5B5gfnE794sxWAskwj7zT7jTU8Xhm9WsH1Zf4K4M6RcfptLjbnTV+leeiM2P7z1Sv56KM1fG+nid99Yt0Us4mGnmG6LCe4odDAyZMncbvdlCTAi8d7+di6OOLj4tBoNGHORJevSuZvJ/2FbA/sakanVvDPV6/E1G/n0X0dHGob4fKiZKoKEnmmppeTPVbWZ8++b3c+RqbzIVBoFjqWsa+vD7PZHJysE+hqmJxFWMgs0uU07z9bXHRiOheiHZlaLBbsdjsdHR2sW7du0abri0nzBoqL2tvbWbFiBaQUAicwapX4fDKKaVbt7zSaqcxPRKcO/6Lfc3kBfz3Ww5MHO7mjzBAWmfp8ftFLj9PSZ3Gyv2WIbYX+L29g3ur6JDjQ56Fs7frgsa8rTeHFk0P87UQf+5qHuHGtP4UXq5147j/s7+DL7yvEoJn+xiNJ0rR7pgEf3+7ublatWkVaWhqSJAXt9wIWcgEbOZjamxkQ2PHxcZqamoI3nAslRRzwv71+dQoP7G4FwKBRsL0wOejJXNPhF9npXI0GbS5azQ4+uD6D/GQD/3JtId/b2cBjBzr57Nbc4OMkSaK6028x+cGtJeQm6pFlmct69/PIcTf7GgfIN/hTlFqtNpierFph5C81PTxZ3cXbjUN89coCkmM0GHNVaFUK9rX6xbTijNhXt46c02K6nCb34BfO3NyJzyVgOGG1WqdM1gktdJotMLBYLMTGzl7JfT5z0YnpXG5y0RJTh8OByWTC6XSi1+tZu3ZtVFadC0nzBvxrGxsbSU1NDToXPXa8Hgn4z7838MTBTn50axmb8sJTah1DY7QNOfhkZe6U4+YnG7iqJJWnqju5rbQkTLz2mAYx9dv50S2r+eGrJl481svWgsRgpXBeXh53vm8Nex4/yrtNZq4u9aehNuXGoVPCuBcKUgw8fqADjVLi3UYz+ckGWs1jeHwyD7xu4ns3lk77miOleUPfh/mm2afrzTxw4ABxcXFh5geh7kLno8AebB1h3ONDpZBoGPB78upVEnaXj/cVT0QzRzpGidWpWJUaeYF4uGMUIBi53rIunbdMQ/xyTys7ipKD49YA3m0aIj9ZH+wblSSJS9LVPFnv5bBZyS1by4ILmkDGINFpQSXBo3tbSdYruCZPxdjYGHq9no25cew/Y76fFKNhVaqBg20jfH7b7NXgod68Z5NzbTB4qOFEgOksKwPXfEBkQ6/5+Zrcn49cdGI6Fxa7J+lyuWhubmZ4eJhVq1aRkpLC4cOHo1YtN9/zGx0dpaGhAZ1uanFRddswJUkK7r6yjJ++0cgnHj3El64o4P/sWBn8IrzTOATA9lXJEY//mUtX8EbdAK/UD7Mje2JV/ejeNrLiddy8PpMjHaPsPN7LDWmjZKVNzFvN8PqI16t49WR/UEzVKiVVOTr2tI1TlhnHvTtW8tU/H6dxcIxrSlNpNftv7n861MXXr1mFXhP5Mp4spgEfX61WG7HIaqEoFIopAhtIEVsslqDAajSaYHr4XBfYX73jr9LeWpDAK2eGcWcYlbSPetheOJHqr+m0sDEnDsU0r+NI+yh6tYLVGf6iGEmS+O4NqzjQOsz9rzfx64+uQZIkxt1eDrWP8uGNmWF/r1H67QNfOz3It69bhU6tRKvVotVqSUlJoaAASo/WcKLHyj9tT8frdtLU1ITD4SBP42P/gIsTTR3kpydSkRfP87V9uL2+KVsOkZhrhCjLMnV9dv5ypJujnRbsLi9XFCVzdUkKW2YYRxeJ5R6/NpcU7nSWlYFr3maz0dvby/j4OAqFgscee4zMzEwUCgUej2dBaeLzgQvzVS2Shd7gvF4v7e3tdHd3k5+fT0lJSfBY0SwammthTWhkXFJSMmVlaHG4qe+z8YGVam5am8GOohT+4+V6HtrTgs3p5V+u8xvp720yk52goyA5cvSxOS+e9TlxPH10kG3pfsE92W2hum2Ef7muCKdjjBKdhb+4fQzrc9hRPBEZqJUKripN5fXTA7g8PjQq/zSeqmwNe9rG2Xm8l29fX8wjn9zIR35Xzet1E9NCPD6Zn+1q4ts3lEQ8r0BBlMvlorGxEavVSmlpadScrWYi9IYfIHQPNnCzUavV55zAur0+as5ElBqVAveZZEPbqIcNIcYeI2NumgfHuHkGi8AjHaOsy44LE6/kGA3/cPkK7n+9mbdMQ+woTuZQ+yhOj49theHj2WRZ5sbyNF6o7eedpiGuKU2d/BRYx/1ZpMtXZ5GfNlHJqs0Y5s/1xznSaUUat5DkseJw+/jb/pNsKUiOSpFN8+AY332xjp6G3jkAACAASURBVOM9E448SoXEc0d7eepQN1esSuKHt5QSp5vbrXY5I1OPx7PgGoBI2yLg75+/5ppr2LVrF3V1dVRWVqLValm3bh3f+973yM6eubraZDKxdu1abr/9dp544okpv//+97/PD37wg7Dzrq2tZeXKlQt6HYvhohPTpbhRybJMd3c3ra2tZGVlRUwdRltMZyJQXDQ4OEhRUREpKSkR/6amYxRZhuJEf6GOUafix7eVEatT8b/72lEqJO67ehUHW4e5tixtRg/cT29dwVf/cpzD3Q7WlMMfqzvRqxWsMVg5ebKX91cU8/uTJ3m1fojbNoen2a4rS+e5mh72tQxxRVEKCoWCsmQVGqXE8JibE90W1ufGU5pupGPEwZhz4n3806EuvnltEcppIo2+vj7q6uooKChg9erVyypU8xHY0CKnsy2wzx3txSeDSiGxp2HCYcgnQ9XKiUgrMCd0uv1S67iH+j47X7xsalr1o5uzeKaml/vfaGJbYSJ7m4fRqvzGDpOpyE8kyaDmlVMDU8T0RLeVtjPj/A62jVIUIqZrchKI1Spptqn41BXFZBe4+dWxfbQ5NGwOKbIJRFqhRTYzMeby8pcj3Tx/rI+mwTECZQaXFSby7etXkZOgx+nx8dShLn7+Zit3/eEo/3vn+jB3senw+XzLFrkthZDrdDo+8IEPoNFoSElJ4f7778dut1NbWzunRe29995LRUXFjI+54447Igrt2eaiE1OInjOOLMsMDg7S2NhIYmLijBW6S9luEyDUuSgwFm2mVfehNr9H7qpEZbAsXpIkvnNDMR6fzO/3thGjUWIZ90T07A3lmtWpJMeoeaXRzi3bnLx0rIfKDAXZaUlkZpYjSRLXl6XzxMEOLA43cSE3lq0FiRg0SnbVDQTFVCXJbF+VzO76QV491c+6nHiuLUvjF282k2hQMzzmrxp2enw8+l47d1+WH3Y+g4OD9PT0kJSUFEwpn4tEEtjQIqfJAhsbGxv0kF4qnqjuAiDFqKbX4i/I0qkkxj0yN62ZmAJ0tMuCSiFRnhlZfI52WpCBTRHEVq1UcN9VK7n36RO8UNvHvuZh/165eurNXKWQuKY0hRdq+4KtLgH+cKCTWK2SBIOavU3DYX2kSoXEJSsSOHDGrCHBoKY4LYbjfU6+cvVENiOSm5DdbufUqVNhAqtUKnlgVzOPH+zCF/L2e2X/IPL/vsOfsnZ5fOxtGuJ0r43MOC1NA2Pc+/RJHvvUepSztOUs957pUn1PQt2PYmJi2Lp166x/86c//YmEhAQuvfRSGhsbl+S8osmFXau8CGZzzxkdHeXQoUP09PSwYcMGSktLZ6xoW6p2G/CLesC5yOl0UllZSW5u7qzpq5qOEcoyYzFowquDA4K6OS+BX73VAhB0kZkOtVLBrWtTqel18eNn9+H0ynz5ho1kZWUFo6ob1qTj9srsrg8f7KxVK7lsVTK76wbOVBT7I+Xrzoxv23m8F1mWubbMn0784IaJfTUJ+F2IC5PdbufIkSN0dnaSkZFBZmbmvG4Qy51iBYKr+IKCguAg6vLychITExkbG6Onp4fu7m5qampobGykr68v2Ce4WHotTlrNjjP//0xlMxCnVZITpwozla/pGKUswxhRAAO/V0qwbprq2csKE1mXFcuv326jaXCMS1dOf41dV5bKuMfHW6aJSLnf6uT1ukFuXZ/BZYVJVLeN4PSEf2cr8xPoHBmne3QcgIr8BI52WsI8oSO5CRkMBnJzc1EqlfT19XG4poabfvkujx3oCnpFr0737xmmxKh5r3mY/9rVzOH2EW59+BBfeeYU7zUPk59sYFWqgWNdFp442DXt6wuw3HumSyXk8y1Aslgs/N//+3954IEHZn3sSy+9RFJSEuXl5fz6179ezGkuCiGm0zBdJDk2NsbRo0cxmUyUlJSwbt069Hp9hCNMPV40LQrBL6Kjo6NUV1fT19fHpk2bKCoqmpN4uDw+arssbMyNj5iCVisV/OzDa5Ek0Cgl4nQzp6gsFgvlOn8E8E6PREm6kbU54RHJuuw4suJ1wYKWUK4qTWXA5uJ4tyXY0rKjKAVJ+v/svXd0XOd19f27U4HBFPTeK1EJggAIkSLVm1UsW8WKo9h6XRXXKE7i+HXsT7HzOo4spblFLbYsR5KtblGFkiixiSQAovfee59e7/3+uDMDDAGwibQkM3strSUOpty5c++zn3POPvvIC3zvrDwIOjNGR/eMNTjHUq0UWHZ4eL1tkp6eHlpbW8nMzKS8vByNRnNOdoIfRgT6ArOyssjMzCQlJSVIsA6Hg4GBAerr62lsbHxfBPts0+S6xyRg3u6lKmX1Ovf4RDqmrGxN3XyBbBo3syVRv2n7kiAIfGVPBrN+O8BLTrFhq0gzEa/XBNt1AJ5rmsInSvxZZTK7cqJxekUaRldCXhcYCVfnj04r0024vGLQHWkzCIKAwWAgOTmZvPx8/l8DjFokko0afJI8jnB6xU5ShMADl+m4KV/Pb2onuOfJVkQJfnpHMe98s4Zf3FXC81/czpX5Mfz04HCQ1DfDB9mPeSHJ1Gq1npVW4Xvf+x6f//znQ9p0NsKdd95JV1cXc3NzPProo/zgBz/g6aeffr+He064KMn0XNpj3G43XV1dtLS0kJaWRmVl5VnttM5nzRRkIm1tbaWvr4/CwkJKS0vPSp3aPW3B5RWpSI/cNAqP0qkREHD7JB49Mrzh+7hcLtrb2+nu7qa6JI8tMSrmbR5uKUtcd54FQeD64gSODCxgdoSaO1yeH4tSIbC/ey54PJE6NVtT5Bvwra5ZBEHg6i1x1A4tcVtFMrDqzPPj17rQ6XTU1NQQHR0d/Lw/ZRuzjSa8lJSUbEiwfX19TE9Pn5JgJUnihaY1XskChKsUCMj10uo1ZNo9bcXlFSnfhEw9PpH2SQvbUk+9gO7MjiIqXIVCgKyYzTelSoXANYWxHBlYxO724RUlnm+aZldOFGlR4VSmm9AoBd4bXAx5XW6cjmidOjhvdbs/5XxiZGXdZ2wESZL4wm9bGVpwUJSox+WTyI7VUZgay7JT4sE7tlKUn4tavbqBvSvbR7RzgvHREebn53G73fz9tTkIwL+/M3TKzxNF8UPVGnO+cDbj15qbm3n77be57777TvvcoqIikpOTUSqV7Ny5k29+85s899xz7/dwzwkXJZmeCQJk6vP5gouSyWSipqYmxDXkbN/v/cLj8dDT04Pdbic+Pp7KyspzaoZu9DsTbUuL3JTo2yfNuH0i29JM/PLQEANztuDfAueloaGBuLg4qqqqMJlMGP2Z7ijdxinvG4rj8fgk9p+U6jWFq6nKiORtP5kGFvwb/DW619pl8/JrCuPxihJalSIo/FAIMG2XEHXRIQR+Jg5If2rYjGCjo6OD5hInE6zNZkOSJNomLczbVjc5SoWAPkyFMUyFQaugMG5VMdk8IYuPNiPT7mkrTq9IedrpN5xeUSbr/SeNUzsZVxXE4vZJHBlY5Ej/IrNWN7f7W2l0GiUV6SaODi6FvEYhCFRmmKgbXkaSJCJ1avLiI4LzVTfC2mvm3/YPUj+6QqJRg0GrxOrycd8VWTzbNMUnyxMpSzHyi2PTvNixzJ3bkkg2aXluWEVmdg56vR6z2Ux3dzdjPa1cl6ni9c45jneP4nA4Nrw2P+ia6YUk0zMNPg4cOMDw8DDp6ekkJiby4IMP8vzzz1NRUXHa136QG+j/JdNNoFQqmZyc5Pjx4yiVSi655JKQ+t+5vN/7iUwDjj21tbVEREQQHR0dMpLpbNE0vkKyKYwE43qD+gDqh+WF6Ye3bEGnUXL/3m5EUQyeF4VCQU1NDQkJCUHx0sCyD7VS4K2u9alcgNIUIymRYbzuJ8e1uGpLHANzNkYWVxeaK/xewANzNsaXHJSlGInTa3ijaYjCGBVKhRAUg/zo9d6Q9zuVA9L5xoeZtDci2NLSUmJiYnA6nQwODlJfX8+j+9uCr0k2anD7JJbtHpxekerUCFRrFNMt4xaSjFriDRu3UjQFlL6nSAMD9M/Zsbi8xESoeaJ2/JTncVuaiSidmrd75nm+eYrYCA17cleFcTuzouifszNrcYW8rio9khmLm/FlOcW6Pc1E87gZzybThwJ1y6axFX5VO4FSIXB7eRK1Iyv8/bU57G2fRaNS8PXLM3m5dZrf1E7w6cpk/uGGXP7h+jxGFh0817ZIXFwc2dnZbN26lerqar55fSk6tYIn6mfo6+ujvr4+WPcObGo+6DTvhfrssyHTL33pSwwMDNDc3ExzczP33nsvN954I/v27Vv33JdffpmlpSUkSaKuro7//M//5OMf//j5PvwzwkVJpqcixICYZ3p6GofDQXV1NZmZme/7IjvXyFSSJGZmZjh+/Dgej4eamhpSU1Pft6CpZXyFcn/KazOirxteIi8+grx4A9+8Ioe64SUe2XuM5eVlqqqqyMrKCjkvrZNW5h0SO7OjOdS/wNxJixrI5/7awniODi5idYYe/1X+tod310StGTE6UqPk9PVbnTMMDg5QHCnSNuflk1XZ+NbIKg/3L+DyhAqp/hgk91FMJ6vVaqKjo4MEu217JXXTq98hyyChEsAjSri8ImWxCtxud/B7tkyYT1kvbR43k2zanGwDCChtP12ZTMeUNeiYtBFUCoEr8mI42LfA4f5Fbi6LD+lfDY5aGwqNOqsyQlO7lRkmHB6RrmkrG0EURexegW8+2wHAPTtS+NXxcXJidVhdXt7smuPPK5OZt7r54ev9VGeY+NtrchAEgd250ezJjeaxo2OYT7q+40wR3FWZwtExB7EZ+SHCMqfTydDQEEtLS3R0dNDb2xtUFv+xNoSnmqT1fnE2aV6dTkdiYmLwP71eH+xfPXz4cEjr0jPPPENubi4Gg4HPfOYzfPvb3+azn/3sBfkOp8NFSaabYXl5OSjmSUlJISEh4ayG654K5xKZBsRFc3NzVFRUkJubGxQXvR9B04zZydSKi63+etZGkanXJ9I4tkJlhlx/26JZIClCwcvDkF+wsXL5jc5ZVAr4+pUyyf1hzazStbimSE71HuybD3k8JTKc/PgI3u0NffwavzPS83UDqFQq7tpThMMjEhmhZm2ngU+Cx4+Gzlf9qJHcB4X3Bpaw+90ZcmLDGbAoSPebdCiA4hiBpaUl6uvrefHdOqbNLsw2O788MMCB3nkWbaszRSVJomXcvGkKeC1qh5dJiwrjL3akEhmu4je1p1a8XlUQg90t4pPg46UJIX8rSIggWqfm+HBoqjc7Vq6b1o+eVDcd3Zi4RVHkyU4nSw4vxjAVv2uYxOb2MTBv56H9Q2hVCu6oSOKvn+/EGKbiX24tDJlE87XLMrE4vfy2bjz4mNsrcnRwKegvHVD2rs0alJSUYDAYKCkpIS4uDo/Hw8jICA0NDZw4cYKenh4mJyexWCwfOWHd+7ETvP/++4N9pLt378ZqXd0EPf300ywsLGC1Wunu7uYb3/jGeTnec8GHs/nuAuPk3ZfNZqO3txdRFCksLMRgMDA2NnZeW1nOJjK12+309fXh8XiCx3MyznXwNUDLSc32GxF994wVu9tHisZBU1MT+fn5fPfmZL72TCsvNE1xZ2Woc4kkSbzVNUtJjJLSZBPb0ky80DTJ53amrzvf21JNxOo1vNU1FzSxD+Dy/Dj+++gI9iw5Gl1ZWSFRlCPV/mUJY1wyOzVKdBol9cPLVGVG0Ty2gk6tYMnh5TfHx/jKZbL7yR8rzftBRKbn+/PWbny+cXkW33yuk/z4CNRKgfJUIxlJ8XRMWXi228kxf13y6IiNoyM2YAKlALvTw/iLygRiTEZmrW7KTyM+8okSDaPLXFsYR7hayW3bkvjVsTGmzS4SjRtHtDVZUSgEucaeExcR8jeFILAjM5LjQ8shw70FQWB7uokTIytIkkSsXkNWTDgnRlZCzPYDqB9Z5tikfK8Gosud2VHcsyOVe59p45PliTx9YpLRJSeP/3kZsfrQjWVhop4r8mN46sQkt5Un8uh7Y+xtn8XmXr3HXmqd4a+uyAoODAieE/8A7bCwsJAyjtfrxWq1YrFYQia6rDWbD/TCfhhxNmnejyouSjINwOWSfTzNZjP5+flBFSjI5OdwOM7bZ51JZOrxeBgcHGRxcTHoXHSq9ztXsm8eX0GtFChMlEn6ZGKWJIn9LcOAbDq/rWArCoWCq2MktqWZ+PnBQW4tTwpZCNomzEytuLixRF5YPlmezPde6aJ90kLpSX2GCoXAVVvieKV1GpfHh3ZNn+LlBbE8cmSYtjkvie3tOBwOPr6zhP9oasTu9vFOzxy3V6RwaU407/TM8+XdGdQOLeHyiggCQcekkmTjn2ya93yn4qwub1D8E65W0O83tp9YduLxSezKjuJnx2Z4pWuFSJ2a4mQD3TNW3vxaNWFqJT0zNvZ1zvBiywxHxkbYmSJfA1rLOL291uBiHxEREXLs3dNWLC5f0L/29m2J/PfRMZ5vmuKrl2VueE7HlhyIkhzpiZK0zhP4kqwoXu+co3/OTl78KtlWZUTyVvc8EytOUiPD2Z5uYl/nHD5RCjFS8PhE/mmfrLgVgJRILS6vxL/fXsQvD40gALuyo/jGsx3cVp64qffuZ3ek8m7vArf81wlcXpGbSxO4ekssBQl6jg8t8b29vRzoW+DawvX2iBuVlFQqFZGRkURGrn7eRmYTkiSd08i0C339ut3u8+aF/WHFRZnm9Xq99Pf309DQEHTIWUukcP4di05FpgFxUV1dHREREdTU1JySSAPHd65p3raJFQoTDUEyXHtsCwsLHD9+nOYJCymmMLYX5gRvbkEQ+Nrl2UybXbzYHNqPuK9zFpVCoDxeJsbri+NRKwVeaZ3a8BiuKYzH7vZx9KRWhrJkAwatgoZpN3FxcWiT8vnJgQlE/83+3Ze7qPmXg6w4vcxaXKRHr/oFb/Fbyf1gb3fweM9mkRBFkenp6ZCF6WLAW11zBLZSn6pI4mDfArmxumAkta9zjpc7V7ixwMgr91b5XY8MxOq16LUqtqeb+L/X5/PG13awKzuaQ2NulAq4ekdZMF05PDxMfX09DQ0NwXrg4T5ZpBYYj5YaGc6unCieb57G4xM3PP+vdcwhADa3j47J9b2iNVky2RwbCk31Buqm9SOrU2wsLh99s7aQ5/3s4DATfrOKW8oSGF92ce+l6SgEgRdaprmiIJafHxohUqfmviuzNj2nbZNy9scnwTOf28YPby7gsrwYEo1abi5NIMGg4cWW9WWQs7nmNjKb2L59e9BsYnZ2lpaWFurq6mhvb2dkZITFxcV1M4fhwip5L5b76KIkU6vVilqtpqamhsTE9f2QcP7JdKP3O1lctGPHDlJTU88o8jjXNK9PlGiftATrpYH3cjgcNDY2Mjo6SllZGb1LPrZnrN9178qJpizFyMOHh0PUkPt75tiRFUWEWj52Y7iay/Njea19JkQkFMCOzCgMYSre9Kt+A8Kv+rpaqlJ0dC4JPHhkjjseref1jhny13iuLtk91PoXy58fGGJrqpEwlSIYYbROmHF5fGdVM11cXKS2thabzbZu8T+5heRkfBQFSGvx2/rVjdFNpQm0TVpIiZSjCKUAgwsO/uGKRL6yI5ZwtYLOaStlKetLDzERGv7zzmLi9Rp8Ivxw3xAGUyTp6emUlJRQXV3N1q1bgwR7pHeWpAiB0d72IMHeUhTFnNXNwb5FJEkKidIkSeL1zlkqM0woBXi3b30rTZIpjMzo8KCwKYCcWB1ROjUnTuo3XSt4Glt08Ktj4wiASSvQM20lNTKMT5Qn8mbXHCsOL8lGLZ3TVr59Tc6mXrs/PTDMQ/uH5L5Ur4jzJFcmpULgptIEjg0uhdSazwcCI9OSk5PJz89n+/btQbGgVqtlYWGBtrY26urqaGtrY3h4mIWFBRwOxwVPEX8Y3MUuJC7KNG9UVNRpzawvdGS6vLxMb28vOp3unMaBnWuat3/Oht3tC6ZePR4PMzMzWK1WysrKiI6OZmzRzrzVvW6uKfhday7L4t6nWnildZpPbktmcN7G0Lydu6vTwDcWfO7NZYm81TUXMhQ8AI1KwWV5sbzbM8/yipn+vt7gaLR+xSzvDPayt22ae3dn8sXdmbg8Ijt/cgiAf761iEN987zeMUvz+Apxeg1Ov6tNmEqB0yty63/VcmlGBILPjbPTTUa0jrIUI9vTI0MGoDscDnp6ehBFka1bt6LRaPD5fMEb3+PxBI3o5+bmcDgcqFSqkEkvH2Uinbe66fVHZ6ZwFZ3TViQIIYDH/ryUOEEWffTO2GR17yYWgS6vyKLdw45ME290zhGuVvCPN+YHz6dKpSIqKgqDKZK+5TFuLklk69as4DlOVZiJ0sKvDvaQSgxutxur1YpOp6NrxsbYkpMv7ExDlOBg3yLfuHx9dLgjM5JX2mdDRq0JgsD2NFPQISnJFEaSUUvD6Ap/XpWCKEl8+ek2Ar+kWiHQPWtjZ3YUA3N2nm2cIj0qjNc7ZtmaYuT6ovXpWYBnG6d45L1RPrk1kb+5OptrflrL803T6+rHNxTF8fjRMd7smueuyuTg4xeCcNaOTEtMlDUKkiThcDiCM0lXVlaw2Wy0tLSEzOHVarXv+5g+qNmwf2xclGR6JjjfZBq4mOx2O729vfh8vk3FRWd6fC7X+taT06F1XF5MSpINjIyMMD4+TlRUFCaTKZjqDuzWNyJTkN2KChP1PHJkmFu3JvFuj6y+vbIgjuHOsaD44/K8WPRaJXtbp9eRKcBluVHsbZvmlaNt3LKzBJPJxNiiPei2dFNpIvddnQuAXgtFSQa6py00jC7z73eWoX+5k2cbJ5mzru7uAyQwOG9ncF6u/ek0spgK5D7X796QT1mygeHhYWZmZsjLywuOjQqYyAd+r0ALydoywNrh1DMzM1gsFtra2jCZTB+qUWpngt/UripOr8yX204SDJog6XzziizKU01MTMhk2upPrZYlb3zddk5Z8YoSd1elUp5q4uEjoxQnGfjU9uSQ53VNWbC7fVRmmIIEGxDc3D4/xONHx5DCTbC0xMjICHa7nWd7PSgFKDJ5mUuP4GdHJplYdgaj6AB2ZEXyu8YpOqYsISS2Pd3E2z3zTK04STKFsT3dxLEhuUfx5wdHGFt2IiDbJy45RTRKgYbRFe54vBGQZ7seG1rmwduKNvxt60eW+dG+fnZlR/H9j+WhVAhcW+ifxXp9LuFrtAH58RHkxOp4vXM2hEz/WBAEAZ1Oh06nIyEhIShsys7ODl7bk5OTuFwuNBrN+xp0b7Vaz3md+yjhokzznoud4PuFx+PB6XTS0tJCamoq27dvf18X2LmmeVsnVlAp4D9fqWdo3saOHTuIi4sLia6aRpfRa5VB/9uTIQgCn9uVwdC8ncP9CxzonWNLop7kyLCQlKdWreTaonj2dc3iXNP/GagRhy8PoVLAlCIOk8nEst3DF/+nGbdXIsMg0Dcb2gd4RX6s7JTTLQtHrt5AvBEbEaqsFACXx8d3rs/jR7cWMWN2cddjJ/je04eDphNr5y+eCda2M5SVlREZGUleXh4mkwmbzUZfXx91dXU0NzczODjI3NwcLpfrQxnBPtu0WtO+syKZo4NL6DRKvH5hzt3Vsmo7sMFonTATp9dsqrZt8TsjlaUY+MqeDHbnRPPjNweCjwcQaEup3GDDdmtZIqIEh0adhIeHU1xcTGVlJS1LSirTDESoICdM3ig9ub9pXctIVXokAuv7TQPj3YKbxTQTCzYPB/oWeOS9UflJAhTEheGT4LvX57L/GzsoSZLv09qhZXbnRG84BWfO4uJbL3SRFhXGTz5RGCw53FSSgM3tCzHoB/keumZLLE1jZhb8qd4Pst3F6/WiVquD/ZxrzSYKCwtDru3NHLQ2g9ls/l8yvZhxvshUFEWGh4epq6sLLt6nExedCc4lzWuxWKjtmyZcJfDWqI+vvTrFw0dGERFCUtBNYyuUp5pOOS7q+qIE4g1aHntvmIbRFS7Liw0e19pF4ZayJGwuX7CndH5+nuPHj+N2u7ni0hp2ZEXzTu88kiTx9y92ML7k4Gd3lVGdrKZr2hriZnOZ3w1pye7h1bZpvvtSJwoBipL0RPjN1OdtbtKj5UglXq8m1ahClOCf3+hjYHqZXYmQpFfwfJ+Xh5vsZ3X+NoMgCOsmvezYsSOYebBYLHR3d1NXV0dLSwtDQ0PMz8+fU2bhfKJr2oLVPxs2XK1gxeHB4REZ8k+N2Z4eOtQboG3SQmmyYdMNaeuEmfSoMKIjNCgEgX/+eAEJRi3febkbx5oN1YnRFTJjwte1lQCkR4dTkWbklfZV846uaSuTKy5uLE0iLS2Nq3eUkRkdzpArgoSEBHz++aQnTpygv7OFzEgVh3tnQnoy8+IjMGiVQfMGyZ/U/f7eHgAMWiWSBJIoER2u5KaSBAxhKhZsbqLCVX6RlrSOOCRJ4h9f68Ph9vEfdxRjWDMIvDLDRLxBw6vtofaZAFdviUWC4MzYD6svb2BE4NopRiUlJcTExOByuRgaGlonLltrNnE2hg0fZVyUZHomken7TdFJksT09DTHjh3D5/NRU1NzyhFtZwuVSnXGO1mXy0VHRwfNbR2MWyU+vSODA9/azXX++aBffb6PFYdMzFaXl95Za9AdaTNoVArurk6lbngZnyixx0+mCoUihJirMiKJidDwSvNkcDTatm3bgtNtriyIY2jezr+/M8C7vfN8+9o8qjKjKE+Qz9Xh/tUdfUmyEWO4CgH43h+6EBQCNxQnMDRv5+ay1X7VCI0sDJm1evjrSyIp9YtlHj8+yYt9Lmxe+bJ/sWWKa/7j6LoI+Fyw0c5cq9Wu2+UXFBQQERHBysoKnZ2d1NXV0draytDQEAsLC7jd51eQcir8+M2B4P+XpRh4vUNe8E1h8qJ6Y/GqKYIkSVjcIiOLjuD5PBmyWYMlpJ5qClfzw5vyGVty8rODw4AsgmscW9lwEHgA12GYggAAIABJREFUt5YlMrLoZGBFPq9v98yjFODy/NVywaW50ZwYXUGjM5CWlkZRURHV1dWUl5ezIzOSzlkn/UOjQdODvt4eCuO01I8s8evjY/zwdXlG5rJDvl7TosJJNGjpXXDx8S2y2r1pzMyU2YXd7SMvTsfhgSV+3xiqUH+pZYaD/Yt884ossmJ0IX9TCALXbomTHb9coZvf/PgIUiPDgm1JH6XxaxqNhujoaDIyMjYUl42MjHDs2DEuueQS7r//fqanpzlx4gRO56mn5nyUcVGS6YXG8vIydXV1LCwsUFlZSU5ODkql8rxOjjmZtDaCKIoMDg5y4sQJYmJiMKZtwSdKlCQbiTdoeej2Uv7tjlK6Z+189515ZsxO2ibMSBKUp21cL12LT1WmohQINvYHjiuE5CWR6mQ1B/sXSEhJo7y8PGRk3RUFMgk/dmSEy/NjuXuH3ESfaVIRp9dwcI0bklIhsNtfe3V5RZ68ZzsfL0/C4RH5fcMEGqW8AeqatpBkktOQT7UscW+Bh+womZyVgiy0CVMJhKkUjC87+eR/1fJm58ZewmeCM1XzCoJAWFgY8fHx5OTksG3bNqqqqsjLy0On07G0tER7e3uI0nKzVob3C1GSaB5fTb1+oiyBN7rmUAgEPXgvz1utE0uSRO+8HEmXJW8sPpo2u5i3udeJk6oyIvlURRJP1k7QMmGmd9aG1eXbMMUbwLWFsWhVCo6My5uL/T0LbE+XvXkD2JMbjdsnUT8Sms5VqVRctiURrwgOfRJVVVVs27aNxMRESuK1jC65eGj/EGWxqxvmrck6OqetGMKU6NQKbiyQif51f8uXyyfxo1sKuCQrkof2DzK2JEfvM2YX//LWAJXpJj5dtXHt89pC2aD/YF9oG5ggCFyWF03dyDIOj+8jb3IfqH2np6dTXFzMrl272LdvH3v27EGpVPLLX/6SPXv2UFVVxdTUxi1za9HX10dYWBh33333hn+XJIlvf/vbxMTEEBMTw9/93d99oKWUi5ZML4Q4JDDrdGBggOLiYoqLi9FqV2tL55NMT5XmXRsVA8EWoMAMx5I1i+HHShL42e2FLDhEPv9kE3V+K7bN1JprYQpXoVEp8IlSMF0YIFNJkhgfH6e2tpar8qJx+6B1fn0knWwKI0KjRJQk/vGmLcHfRalUcml2JO8NLIS04FicXiRkkYggCJQkGxCAMLWSO7avujLNmuWF/8S0j/SCUmJNcv3XJ4Hd7eP2ipRg9O32SXzjd638YZOe2AsJQRAIDw8nISGB3NxcKioqqKqqIicnh7CwsJBWhvb2dkZHR8+LX+uzjZOIkjxxRyHA2JITl1fkqvxYFmwe4vUaok+qP3fPygKd4qSNlfAtE35x0gaR631XZhFn0PCjN/pX21PSN7/GIrQq9mSbqJ100zdrZXDezpUFoeWR7WkmwtUKDvUvrnt9RZoJlUKgzp/SVSqVREZGEq6XP7M81YikXtUEGBTyvTQwZ6cyQcE7vQs8fWyI19pnEQS4PC+GLYkGfnBTAQAPvj0IwL++M4jHJ/KDm/LXGUgEsDVVHs6wv2d1YyhJEsMLdrJidLi8IvXDyx+pyPRMYTQaSU5O5rLLLuPxxx+nrq6OI0eOkJCQcNrXfvWrX6WqqmrTvz/yyCO89NJLtLS00Nrayt69e3n44YfP5+GfFf5XzXsKBCKO0xGvx+NhYGCApaUl8vPzNx3RFqjDriXYc8Vmad6VlRV6enqIiIigsrIy5LPaJ81ER6iDUVsANdnR3FcVwQO1Np6uHyc7VrdpD91a9M3acPj9XF9qnuSenRkoFAqWl5dpa2sjMjKS6upqFEoVPz40w+vtM9xQHHoTvds7j83tQwC06tWFRBAEdmZH8mLrLE1jK1T7bQMPrUn7vtM9x5zVjQTotSpuLEngf/x+qP4xp0jAn/13Iz4J7tiezLMNkyzYPJSkGPnejVtoGFnm7l+dQJTg757vwKgtoybj7GzPznef6Vql5dpWBrvdjtlsZm5uLtjSEBEREdKmc6YL4sNH5BYmUYK0yDAeOyaft505UbzVM8+Ok5x9JEmie85JTpyOCO3Gy0brhBmtSkF+/HrhWoRWxX1XZvGdl+X6ZEpkGInGU7eDXVsQzVu9Szzh9+u9qmB9e9UlWVEc7l9cd5/qNEpKkw3BoeAAPTNWHjs6hkKA6HAV7/QtohDkc9C3AlHhKpYcXg6Nezk0bgVW0//XpopMTExgMBj44q40/vPACP9TP8FrHXN8aVc6aVGbz2JV+CPQ1zrmGFqw88TxcQ71LwZV6AJwsH+R8oSEDzQyPR/r0kY4WYB0Jp/zzDPPEBkZyc6dO+nv79/wOU888QTf+ta3SE1NBeBb3/oWjz76KPfee+/5OfCzxP9GpqfA6URIa8VFBoPhtLNOL2Sa1+l00traSm9vL4WFheuiYoD2SUvQZu/k9yqKUfL9jxWwZPdsusM+Ge8NyMRWnGTg6RMT2O12lpaWGB8fp7S0lC1btqBWq1EqBK4riudA7zy2NXUjr0/kX/b1kRIZhgQcWRNhKBQKqtIMqBQCh/sWEEWJH77WQ5xBQ1GSgXC1glfbp/nN8VEq0kzMWlzYlucwakClIMR43Ory8eT/qeCfbiniz6vk6PVHr/didnjYnhHJX/vbbyTgK8+0BfsuzxR/DNOGQK9gUlISKSkpJCYmUllZSUZGBkqlkpmZGZqamqivr6ezs5Px8XFWVlY2vN6WbG7mrG4CZyhco8TlFcmJ1fHegPwbfLI81DM5QKabpXhBFicVJerXiZYC+FhxPCVJerqmrWzdpO66FjvSDRg0Agf7FihM0G9Ivrtzo5kyu4IWiGtRlRFJx5QFi9OLw+Pj717qxhimYluakcMDcgZGlOTrZcbiZsnhJVyt4HMVkTzyiQxu8PeSbksxsKc4HUmSmJiYoFg5Q5QW/m3/ADHhCu4sNZ32vt6TG43d7eMTj5xgb/sslekm/r+P5fHvtxVRkmzg6ODSn2RkCjKZno0AyWw28/3vf5+HHnrolM/r6Ohg69atwX9v3bqVjo6Ocz7O94uLlkzPBJuR6UbiopSUlNMS9Pkk08CxBawRGxsbgwvsRjJ0p8fHwJyN4qT1i2HguHbmyhuB/jkbxwbXp85OxpGBRbJjddxdncrwgp2n9jeg1+vJz88nIiI0OrmhOAGXVwyZFPNi8xTDC3a+c10+0RFqDvSuKh4VCgURGiXb0kwc7p/n18dGaJ80gyT3KDo8Iu2TFlRK+MolcrRbO2LhupJkQEDBKrlJwIJVrjv+1VW5RIarMDu9/PRdOVX32Zp0cuMiiAxX4RMlvvA/bbi95+d3upBQKBTo9XqSk5MpKCgIsZMTBIGpqakgwXZ1dTExMYHZbObB/fL31mnk2z+webiuKI6mcTNKhWwMvxbTFi9ml4+STfpLPT6RzinLpuIkkCO0u6tTkQCH+/TnVyFIVCRpWXZ42ZWz8eze3TlyXffIwPrrdUdmJKIEjWMr/OzgMIPzdv7p5gJi9Ro8okSERkG8XsPabdADnyjk1i0GsmPDg+95zyVpmEwmUlNTKSwsZGdNNbvy4nD54OpcI4uz0zQ2NgbP8/j4OGazOXivL9rc/Oq4HPmnR4Wz9y+reOAThdy+LYmrtsRyc2kC48tORhbtH1hk6vV6z8jD91xwtn2m3/ve9/j85z9PWtr6IQQnv+9akjaZTB+oDej/kukpsFFdcmlpaUNx0ZngfPeuulwuamtrg9aI8fHxmxJ697TVLz7afAJNwNAhOTKMv3+xgxXH5sIXt1fkxPAS5YlhRFuHMGgVtNqN6PX6DdPPFemyqnefX+jj9or84uAQZSlGri6M4/K8WA71LeD110cDE1/25MXSNW3lF34laFGSgZu3rkZNTo/ED/cNkBappXNJ4NqieLyihPukQ3jMbwRhDFfznRvkutf/1I0xvuRAo1Jw/01bWHZ4yY/XseL08tXfn/kO98NkJxiwk1vr11pRUUFKSkowsnq9Q/4NnB4RhQA6f3r9ksxIFmwe0qLWN+V3z8sqzNJNyLR3xobbJ5221h5oj6kbWVk37/NkSJLcogJy685GSDBqyYuP2JBMt6Ya0SgFXm2f5bd1E9yxLYmd2VHUD8vXuc0tysIf/7WSatKyJzcaSZLomnVicfmI1qm5LC802+TxiTSOrqBSCIxZobCwkKqqquB5BpiYmKCxsZHXD9Vy+yN1dExayI8Nw+OTSDCE1qJ3ZcsbhbpRy59kZHo2rTHNzc28/fbb3Hfffad9rl6vx2xeFdGZzWb0ev0HZpZy0ZLp2aZ5A+KiwcHBDcVFZ4LzFZkGCF0URaqrq8nIyDjtTdjhN94u3iBNFzgXgZrXv91ewrzVzY/39W76fke6J3B6RfJNEjtrqrmtIpV3euaxuKUNv6NSIXB1YRyH+hZwenz8oXWKyRUnX7siW3ZLKojF7PTS5G+oDxD8bn+0bHF5+cWfbeWRu7fxw5vygynKLfHhmD0KpsxuaocXKUk2ovUb+Jcl64PPqxtZZnhBTgV+vCyR4iQDPgn+4x25PaQqM4prC+OYWHbKMzGHlnmp5cwESR8mMt0IAUP01NRUPIZkPCJolXJdWZQgTicQHSbw5MF2ALYmaNaJnPoW3GiVArkb1EPh9M5IATSOrWAKU2Fz+3hyjfvSRpAkiUmLF4UArRPrTe0DuDQ7isYxc0gJAUCrUrA1xcC7vQtE6zTcd2WW7IdrX90ketf4RldmRKLwb+L+0CmngT+zI3Vdv/ULzdNMmt3cVBLP0aHlYGS/9jwXFhaSXbSVn3cIOH0CP7k+mT2pKsaXnew9WBeMYFdWVkg2qkk2aWkYt32k1byb4WzGrx04cIDh4WHS09NJTEzkwQcf5Pnnn6eiomLdc4uLi2lpaQn+u6WlheLi4vN23GeLi5ZMzwQqlQqn00lXVxctLS2kpaWxffv20/r6nur93k9karfbaWpqYmhoiNLSUsLCws54eHnHlIXoCPWmzjUguyMVJRkoT4vk/+xM54WmKRpGQ9sOXC4X7e3tvNE8jEKA2/fIfra3VyTj8UkcGLZvqjS9rkieFHOod55Hj4xQlGRgj58sd2XHoFYKwcHgAZP6zJhwFALERKi5siCWmZkZfvPGcSTklpzRJTe//0IViUYtPhEePTKMV5QQkOtg12Wtnp+n62TRjSAI/O21eQC80jodJNmvX5GD3S1ySbYsvvl/+wZOGZ1/FPEvb8kp3niDfB3ERqiYtonEG3W8OSJvgq7I0DEyMsKJEyeCjfhdsw5yYjQoN9mDtk6YiY3Y3BkpgMYxM1UZkVyzJZYn6yZOeX5dXh8tM25yYnUcHVraNJK9NCcaryitM7cHORPh9IrcuzsdQ5iKH78ZKma5esuqQljnN/4QRZH3hi0oBPjU9qSQ5zs9Ph45Msq2VCN/fWUWWpWC3zWETlACWTH+l8+0M2N28/NPlXBleQ637yoCYDk8OVgWmpqaorm5mWy9l6YJK0vLy5vWui8kPixk+qUvfYmBgQGam5tpbm7m3nvv5cYbb2Tfvn3rnvuZz3yGf/3Xf2ViYoLJyUkeeugh7rnnnvN89GeO/yXTTSCKIhaLhZ6eHoxG42nFRWeCc41MPR4PPT09tLS0kJ6eTkVFxbqa5OnQOWWmKGm9+CgAryjRObXacP+Vy7JJMmn5x73deH0ioigyNDTEiRMniIuLY8QRRmmKMej2khevZ2uqkTf7LZt+x+rMKEzhKn5TO8bwgp0vXpoZPB59mIqqjCgO+Mk0kOZ9vmkKUZJTkvUnTjA7O8s7M2EYw1R4fBJ2j4/OKQvPfKEKQYBfHR1F8HvbzFjc7EjWBKPTp0+MB2t1NVlRbEszIgH/dUieX5mfoOeG4nj29yywMzsKp0fkn17fWEm4Fh/2yDQAUZKC7VGzfiXpdYVxuLwS3bM2lILch3t5eS7FxcXBRvyo6FiGV3yk6XzrrOTsdjuSJMnOSCmbOyOB3JM5seykIt3IvbszsLl9PHViPREF0DxhxemVuKUsAY9PCm60Tsa2NCM6jZIjA6Fj15weH41jckYmWqeWW2wWHEHSFAS5/KFUCJjCVHTPyOrd7jkXdo/ItjQT+pOUy881TTNrdfP1yzOJitBwfVEce9tnQwwZZEekXnpmrDx0WxHb/C1YKZFhZESHc3x4Zd3otBu352D3wpiFkFp3Z2cnY2NjF5xgPywCpICCPfCfXq8PWhwePnw4JJD58pe/zM0330xpaSklJSXceOONfPnLX74g3+FMcNGS6WY3vSRJTE1NcezYMQRBICsr64zERWeCs41MRVFkdHQ0ZM7pyYR+Jou42yvSN2ujOGnzFNykVcLpESnzG4PrNEr+7/UF9MxYeeTdbo4fP44kSdTU1KCPjKFt0kxNVugM2Nu2JTOy7KFrZmObPrVSwVUFcTSOrZBk0q4bjHxZfiwDczbGlhwoFAo8Xh+PvzdMskGJze3DrU9CikqnadzMZ/zmDmqFwF8928bfvdBBWmQ4EmAMUxOYW94y4wl6+Lq8Envb5RmSgiDwjStlFe+LzVPsfvAQJT/YT9e0FadHxKBVohDgja65oOn7ZvgoGNoDvNQ8jShBZLgKl1dCrRB4y+++8xfVKfgkyIjRhaQ1VSoVC14NHhF25CZSXV1NaWkpMTExOJ1OBgYGePdoHSOLDlK0bmZnZ3E4HBtel03+mnxFqon8+Aj25Ebz9InJEJvBtTg+YkWtgDsrkkg2aXmjc70lH8jXVU1mJEcGFkM+96kTkyzZPWiUAvWjK/xon5zSt7t9aFUKJAn65uz4RImqzEjaJi24vCLPd8uk+sWdoQIYj0/k18fH2J5uoso/nvCOiiTsbh/71hzbc03TvNYxx1f2ZLAnN/QeqcmKpH5kOaR3Wn5cft6gXb1uNqlCobjgBHshlcTvx07w/vvv57e//S0Au3fvxmpdbVcSBIEHHniAxcVFFhcXeeCBBz7Qe/GiJdONEKhFLi0tUVlZSWJi4nk1nz6byHR+fp7a2lqcTuemc07PNCLqnZUneRSdgkyHVuTvWbqmplqTGkZxrIr/rp0iv7iM7OxslEolDaOyheCOrFCF5Y0liWiVAq91r0+3BVCUZMAnSuzKjgk67QQQEHoc6p1HEAT2tU8wueLi7m1xCEDztJsna8eI0Cr5PzszyImLQK9VEqZWMrxgY9TvSrNo9xBn0KJRKWiY9vBtf0oX4OcH5DTniZEl/uHlzuDjxjA1d1enkRwZhlKAfV3zZEbLvYP//Gb/ac/zRyEyfeSonOY2+u0CjeEqZi1uihL1BH6KSzdQzbb566GF8fL5CEzSyczMpLS0FG2ifH4rMqNDzNADBiZzc3M4nU4aR1cIVysoSJSji89dksaS3cNLLTMbHm/tmJXShDB0GhXXFcZxfGh507TwrpwopsyuoK+wzeXlV8fG2JUdRWVGJMeHlmgYWyGwTwi0SAHERai5qSQej0+ibcJM+6yHMJWCXTmhRLi3fZYZi5svrCHZsmQD2bE6XmqVv0PvrI0fv9nPzuwovrgrfd1xXpIVhcMjhrhPAcTqNaQYVLRNO4KPbSQmOx3BLi8vnxPBnkk//bnC6XSGuJ79qeKiJdO1F47NZgvWIouLiykqKkKr1f5RBoSfDKvVSkNDA+Pj45SXl5Ofn7+pZF2lUp3RjdPpXwxPFZkOmUVMYSrSo8Nxu910dnbS1dXF316Th8Ut8dsTqwte7dASaqXAtpMsB/VhKi7LNnJgyBIyJWYtevyptLXCjwAyY3SkR4ezv2ua8fFx9nZbSDBo+ezlRZSmGHm3d47XO2b4ZHky+jAVl+ZEY3H5cHh83FWZGvJeUysu3F6RMau8SMTr1cHHH3izl8/+uhGVQuArezIBmFh28IWaJL5WAl8vl5876F+Ye2ZsvNu7fhB1AB+FNK/N5WViWVbkji3J7lALNpmY/rwqhbe65e+3Y81AeEmS6J+z8VLrNBolPN08zy8Pj3CofzE40g5k8ZEAXFKQEmKGHpg2EiiXvNc7TbZJYHRYNvovjteyNcXIE8fH1l0PY0sOxlfcVKbIi/C1hXF4RWnT32FXdmiLzNMNkyw7vHx1TwZVGSaGFhxIfsGVQoDP7EgJKoRvr0gKDgt/rnkKtwiV6aH3iihJ/PexMbYkRATVtyD/9reWJdA8bmZgzsb39/ag16r40S0FG/ZrV2VEohAIMZMIoDheQ9u0HClvhlMR7Eb9xgGCPZ/r2NkgQNIflezN+8FF7YDkdrsZGBhgZWWFvLy8dSnUCz0g/ORj6e/vx2KxkJ+fH5zteCoEjBtOJ0LqmDJjCFORegqXliGzSFGSkdHRUcbHx8nKyqKwsBBBEPhYySK/PjbCp6tTiTdoqRteojTFGKw9rcX1W6J4s2+Fd3rm+VhJqNuR1eXl1fYZkiPDODIgGzGsHdTtdrspiRZ4a3CFO7Yk0j4/zV9dmYFKqeDS3Bh+eXAICYL+vZfmxvDEcdnR5lfHRsmK1aEQBBasLpYdq7/buz1z3L0jnX/dL6f5Hn9vlMvyYnjwthL0WhUvNE0ybXHzyzea+Muri9iyRcfbUy1MrjhYcYr4JPjB3k4SxDii/DNLIyIigmmxjwKZPuwfMWYKU7LilK/BgvgI+uds5MbpgkRblmLEJ0q81T3HI++N0edXqioEODhoxty5hAQYwlTcXp7IPTWptE1YyI7VrasvarXa4MQRq8vL+KtH+XxJAgaDgZWVFcbHx7k01sHPJzz87nAn15ckYjAY0Gg0HPYbeFSlyMbxxUl6koxa3uqe59atoYYSINcjs2LCOTq4xJ0VSTxZN8Gu7ChKU4yIa34blQIuz4uVh8j73buuL4ojUqcmJ1YX9M+9qyL0M97pWWB4wcFPPrFlHTF8rDief3tniAfeGqRjyspPPlFITMTGQy2MYSqKEg3UjSzz1ZP+VhSj4s0Bke5pK8WnUUWvRYBg1/ZyiqKIzWYLztzt75ezKzqdLuiYpdfrgxv1C012FwOZXrSRqdVqpb6+HpPJxI4dOzYUF51p5Hem2Oj9Ai5K9fX1Qfu9MyFSOPMxbF3TFgoTN++/cnp8TFhEorHidrvZsWMHycnJwef/1ZU5eHwSDx8awury0jFloTpz42OsSDUQq1Py8gZtJa+2TWN3+7htWzLzVjfN/hpa4BycOHGCKwri8Ijwuw4LaoXAnX6/3Z3Z0UjAlkQ9mf7JHFUZUWhUCkzhapbsHr5yWRZXFcRhcXr52Brbwre757i1PNSE/MefLMYYrmZ+fo6rU+XFdt8YPFq/wF/+rhOXCIsOkRtL4gFYcELDohafz8fo6GiI0tVms+F0Oj/UhPpCk1wrtvqJNEylwCvKIpuASCfZpMXs9PKZ3zTzty924xMlvn1NtqzaLtTzyueKOPY3O3nk06VckhXJE7Xj3PrwCRrHVjY1cwigdcKMKEFVVgxxcXHk5ORQXl7OF27YQbJJy6v9sntWR0cHdXV1vNEySoJOQaTKg8fjked/FsZydHAJyyaq3l3Z8hSZ3zdOsWjz8IVd8qZr7fB4rwifKE/k+NBS0KzB7D8nxUl6rC4fKoFgTTSAJ2rHSY0M4+ot62ffJhi1lKYYODa0xOV50VxXeOoRi9WZkbROWEKie4AtMTKxBeatvh8ECPZkQ4/09PRgBNvS0kJdXR0dHR243W6WlpbOewT7Yb4nzjcuWjLV6/XU1NSEkMbJuBCRaeD9JEliZmaG48ePB12UTnUsmx3f6Wq6PlGiZ8ZKYeLGi53dbucPBxvwSbC7OD04Gm0tMmJ03FqexO8bJ3m3Zx6fKG1KpmqVkssydRzuX2DeGjqv8/mmSfLiI/jMjjTUSoG3u+dYWFjg+PHjeDweampquG5bNuFqBSfGbezMiCDGP+/S4ldLRq7xDA7XKKnKiMTqX1y3JOjZkxeDT4IbShKI87/2+NASQ/OhFoH3v9xBY2MjU1NTfPVjlWiUAnNWN/9TN47F5UXrLyL+oW02WGP86ZEJEpNTQpSusbGxiKLI5OQk9fX1NDU10d/fz+zs7IeGYAfnbaz4z1Fg+b4iP4aBeQdX5MfwdvccSgESjWHc/lgDQwsOfnRLAS9+aTuFiQZECXKjVbKloVbFJVlRPPTJIp77wnaiIzTY3D6mza6QCPBkNI2ZUQjr+1BVSgWfrkqhbdqBR5/Itm3bKNu2na4FH9sSNTgcjqDRf47GjFeUeK1ldMP7cldOFC6vyK+OjVGWYgimbv/93WFAVirHRmjYmR3Fy22rU4ICAjOv/17KMCrQqlfvgbYJM83jZu6uTgmxqVwLp9uHBHxq++nv4R2ZJryiFOypDsCkgWSjhqYx8yavfH84mWC3b99OZWUlKSkpKBQKZmdnQwh2dHT0fROszWY7686DjyouWjIVBOG0UvALleY1m82c8Ld5VFRUnJWL0lqcyRi2oXkbTo+4Tnzk9XqD7TbLSnnRKU3ZXHH35d2Z+ESJJ46PolKsr5euPabLM8LxiRKvtq3WWftnrbSMm7ltWzLGcDVV6SZebR5jZGSE8vJy8vLyUCqVaNVKcuIi8IhwdfaqDP7llinUSoGhBXsIQcnPlf99sG+B8jQThjAVB/vmeeCTqw3c9z7VjE61usi91b1AekYGW7duJdoYsRoB50Tx1D3lPP25bdx7qSwgCZj5O70S39+7amShUqmIjo7GaDSSlZVFdXU1xcXFREZGYrPZ6OnpWTcQ/I85rzSAXxwcAWDtEh9I0VekGWkcM+Pz2+5tSdDzwhe3c3NpAgpBoN1fb8+NWl9KyIuPCIpxaoeX+b9/6FmnUg2gadxMQbx+Q5P8T2xNJFyt4Lf1E8HnOr0il2RFkpCQEJykc01FHrE6FW92zm246G9NjkClgHmbh3tqZMHevMXFyKJc+/ZJcHl+NEpB3mAJQEZ0OA2jK0iSRPO4/F2jw4QQZetv6yeI0Cj5eNnGk07eG1ikd86SUCemAAAgAElEQVSOIEDjaZTfAOWpJpSCPCA9gBWHh94FN7lxOhpGl/9omzCFQkF4eDg6nS6EYDMyMlCr1czNbXyuz3RdPNnk/k8ZF3XN9HQ432Tq9XqxWq309PRQUFBwxo3Mm+FM0ryd034lpt+TN2ApNzIyQnp6Ovn5+fzhpU5MWgWxus0JPT1axy1libzUMkVhomHDeinIN2eKQUlxsoGXWqb47CUyIb3UMoVKIXBjSTz9/f3khts4ahMxpOaj04UOVHb7F+QYnbygLdrc7O+eozI9kmNDSwzM2ciNl4l20G9wnmTU8nbXHF+8NJOd2dEc7l/gn24pJEIFNq9MiNfkRfJWnyz8EIGnWpb5xpVyev/PqlL5bd04R/oXWbZ7iNZruaMiiUffG+XmknheaZ/F45PY2z7LPTWpFCSsEv3amqlGoyE2NpbY2Njg+Xa5XJjNZpaXlxkbG8Pj8RAeHh6sXRmNxgvmi+oVJd7pk0U7geVZIcj+y3nxEfTP2YOPV2WY+MWnSghTr/62bZMWkk1ajFrFhhFX57QVrUrBF3em8bNDIygVAv90U37Ic72iROuEmY+Xra91glxHvKUsgReap/mbq7J5b0AWuJXGa4PvIwgCBr2e64rjea5pmsLSSsLVimBdMDBJR6MASYK8cAcrKyv86G1ZwZxk1DJldhFv0PKb2nEcHpHYCDXxeg2NY8u0T1iYXJEzKQ6vGPzcWYuLN7vmuasyeV1NGOR2mQfeHiQtKowko5Y3u+f5+uWZp4xOdRolxUkGjg8to1GNsLdthtGl0KHZI4uOYDnjQuPkHtOA57NerycpSTatEEURu90ePNeDg4P4fL6QGqzBYFh3HZ+NYcNHHRd1ZHo6rBt0fY7w+XwMDAzQ2NiISqWisrLyvFxgSqXytMfXNWVBoxTIjpWHT9fW1mK1Wqmurg4aordPmsmNVp92N3zPJWlIEpumumD1nH28LInOKQsDczZEUeKV1mmq0/T0tcnn4PPXVwPwdldo7+C81UW/X/TSOClHFHvbpvH4JD63KwOAI/4xbLMWF8cGF9CplejDVDSPrzBjdrEnL4YZs4ueGSslsauX+Nt9y6SsGT/3+Hsjwe+cG69nS4IenwSv+r1r4w1adufGcLB/ka/syQi+7uu/bw+JwE4lQFo7EDw3Nzc4EDw7OxutVsv8/HzIzv989w8e7lvA41s9Nq1KQV58BK0TFq7Kj+HJOjkaVAjwy7tKQ4gUoH3KElSBb3TPtE/K9fgv787gK7sz+EPrDD89MBzynN4ZKw6PyLa0za/5u7bLDlovtUxzdGiJijQTWtV6FehVBbG4vCJHBhYRBCG44Ofn5xORUoDdK0egyy6JiclJ9vfIgiK1JE/Jefy9UR7cL5t0LNg81I+uYHOL/PWLnQjIRDdqkYK/5zMNk/hEiU9Xbjz4+9nGKQbn7fzNVdlcVxjHyKKDgfmN+6wDECUJrVpB+5SFXxwaITUqnL+6IotvVmj56yvk66xp/MKkejfCmRg2BAg2cK63b99OVVUVmZmZ6yLY9vZ2hoeHee2115icnLxoItOLlkzhwivMJElicnKS48ePo1QqqampQa1Wn7fPPZO+1fZJuc50038c4rF3uygsKg6ORgO5gb1/zkZujPa07xUQavTNWkMcX9YiQKY3lCSgEGS7voPdk0ybXexIVFBZWUlmZiaJpnDKUozs7wkl072tsrFAiknDiQmZTP/QOi1bD+bFkhWr47C//eH5xkl8EuzKjWZqRd7Z7++eY3euHBUe6JljwrJKeommMBZscppVpRBwekVe71hNRQei6KdPTAUX0zu2JbJg85BkDCPM30oxZXbzxGl8ZU+FwDi1xMTE4MJUWVkZFIdsNO3FYrGEbJzONA34+LGxkH97fCIxOjUSEKZR0DtrQ60UKE9d9TQOYNHmZmLZSWmyYcPP8/hEuqatQfHRvbvTua08kUePjgXN9GGVGLalbk6muXERVKQZeaZhkr5ZGzuzoxBFcd29UpFmIlqn5u2e9W5IzzRMBr9Dv03D8aUIRAlMYSqZIJGJTKeSU95lcSoCFDJtlufiFsRHYHbD8KIDt1fk+aZpLs+P2XBeqd3t4+H3RqnKMHFFfgyX58tZjlO1Uc1ZXHzpqTbq/UPL//HGfB7+s1I+vzONrbEKPlOThjFMRfMFqptuhHOdGHPyZiZAsFlZWQC89NJLfOc732Hv3r3cdddd/OQnP+Gdd945Zanj7rvvJikpCaPRSH5+Po899tiGz/v1r3+NUqkMRtB6vZ4DBw6c9Xc4n7ioyfRCYnl5mbq6OpaXl4M7uPPtMHI6MvV6vXROmskyCmg1ah5rsXPPU51B03uA7mkLogR5MdrTRrknRmS7NodH5LmGiQ2fEyDTeIOW6sxIXmgY5an3+tCpFXz26oqQ4QBXbYmjbcLMjHlVqPRq+wzFSQb2ZEfSPuuke8pC24SZm0rlFOGlOTHUDy9hd3t5tnGCmqwobihOwOrykWQK462uWeINGnJjwnimdohxm7yYgjwdJbA4B3r5fvhaT/Czry9OQKsSGFt20jMjR8e7cqJJMGjY2z7DLaUJwRvm5wdHWPIbpp+P1pi14pC1016Sk5MRRZGxsTEaGhpoaGhgYmICm82GzWY75efOW920+A3iA5QkSrDi8JJg0ARrqZIkT1g5GR1Tck9wiZ9MTya2gTk7Tq8YnCQjCALfvT6X8lQj97/Wx5Df87hl3EyCQUOS6dTDwO+sSA6mWndmRSFJ0rp7RqkQuCI/hkN9i7i9q9er2enltY5ZbiyJJ8Gg4cjAIo/5TSoCiZSqDBMeEexeOeU9aoVbikwhtfSRefk7H+ub5a2uORbtHu46yZ83gKfqJ1i0efjG5VlyL7NBS2mygf0bED3IvbN/8ZsWWifM/P212X7/6FCRnlLx/7P35uFx1efZ/+fMKs0izWi075asXZYs25IXjAGzm4CBQAJZCM1WkvSXpk2avrQk+WVp0iZpQ5u8IUlDAiQpNCGEmMUQwGCMN9mWLGvf932bfZ9z3j/OzJHGkmwDNklL7guuS5ZGR+ecOfN9vs/z3M99q9iYm6SoRb0TuJhSgrGNYmFhIT/5yU+4//77+eQnP8mXv/xlMjMz2bdvH4FAYM3fv//++xkaGsLpdLJv3z4eeOABTp06teprt2/fjtvtVv6/8sorL8o1vFX8OZheAN7MQunz+WhpaaG/v18RgNDp4mfOLha5YK1gGpNE3H/wKO6gyAcuK+H3n9nBv0XdYO5++CTPR2X1YoG1NC3xvJnpqREHpelG6gssPHJsZFWySYwUNTY2RoXBzbQnwqlZiasr0kk8q896dXTM4EA0Ox1d9HFm3MmN1RnsWJdMWISHj8gL/o3RUZfL19sIhEUePTbKuN3PXfW57ChOQRAgK1megX392EkqUwQmPRJ5Zrhjk0wuGpjzKmpIEjK7c8EToikq5m/QqbmhUv47T52W749aJfCeDRkcHVhkd6mN2BWHRYmvPCeTkS7VnKlarSY5OZm8vDwqKyupr6+ntraW5GTZjHpwcFDRyo0xiJdL+e07M6UcKztZT1KCLJHYPePGGyVVGXRqwqJE7SpuQm1RMYbKzNWNHWLKSMtt2bRqFd+5rRydWuALT3USDIs0jzkVfdpz4dryVHRqAa1aoDTDuKYqz9VlqXiCEY4tEz54tnUaX0jkfZuyuKwoRR6hCcjP86IvTEFKIh/dvqRc1FCQzP7PNPC122oxRxniAuAIiKgFONQ9ycOv95BuEEgJzTI5ORm3eXH4Qvzs2BhXlqSwcdlG5KpSG+2TbmbPCpL9sx7uebQFdyDMzz5UywfrcylNN9K0yhjMxtwkBud975jJwqUWubdYLFRWVvLhD3+YBx988Jxl3+VuXDGxh/7+/ktybhcb7+pgeiHl1guVAAyHw/T09HD69GlycnLWdJe5mAbhqx3L4XBw4sQJFhYW0GfI2rMxgfubNmTy9H1bqc5O4m9+08bPDg/TPunCZtSRbtKe87wiokTzqJ3NBVY+dlkBk45AXIk0Brfbjd1ux+Vy8ckbt6JRCXgCEW6qXsmEXJ9mpCAlkVe65GD6QvR4N1RlUJebRIJG4GDvHJvzLWRb5KymvtCKVi3wVPMENqOOq8vSsBp0lGeYGJ2TZRMf7ZYYD8gbmOpUNddXybOiEjC44KMmamBtimasX9rXqZzTnZvl3thTLVM8fHiEHxwcIsWgJSLB4LyX0nQjiRoBAbmcF1N0eqeg0WgU0lJ1dTUNDQ1UV1djtVrxeDz09PTQ2NjI6dOneeToEot3yhnAqNOQlaQnLILbH0alElifKpNcVjP1bpuUxRiMes2qga11woklUUOuJT7jzExK4Bs3l9Ez4+G7r/Qz5QzEBZw1r00toFIJhCMSC57QmsF0a6EFk17Ny9HnRpIkftM8SVWWiaosM5cVWxUGdgzvqU7nH/d1Kf/+j/dVYdRrmPcElTnUknQjD9xYIjObZ0R67RIf3JpPRno6oVAobvPy4P5WXP4wH9+aGbeRimnxHlrmrzrtDPCXj7cC8MiHa5Wy+Kb8ZFrGnCvUn2qjZhMt57Cdu5j4UxG5j+HTn/40BoOB8vJysrKy2LNnz6qva25uJjU1ldLSUr7+9a//0VSeYnhXB9MLwfkYvZIkMTY2xvHjx0lISGDr1q0Kk/OtHO/NYHkwjVmj9fT0UFFRQVVVFb1zPgSBOOapzaTjkY9s4oaqdP7lD70c7l+gKtt83pnV7mkXnkCETfnJXFGSSlGqgUePjioLSSAQoLW1lcHBQQwGAxUVFaSYE0k36xFghY4vyJuZq8vTODa4gDsQZn/bNNVZZkYWvLzYtYAtUYXDF+bGyqVBeYNOTW1uMiMLPvbWZtI15eLjjzTSNeVm1ivfi8ODTmV28IXBCD87PIzVIGcfv20a519uk0dmHFGVpL5ZDyMLXqYcfn4dtdMKhEUefG2IH78xwndelvV8Hzo0wq71KfjCksKAfeCZ7j+6ApJOp8Nms7Fu3Tpqa2tpaGjAY8xm0S+fU2GSQESCWXcAt1/Odq6vsOEPiWg1KrKS9IolWwySJNE24TqnEk/rhIvq7NWdYq4osXHLhnSeOCmLd2w8j2k4QO+MPMYlAU+fmVozmOo0Ki5fn8JrvQuERdmxpm/Wy3s3yuXY5TZwZr0atQBPNk/GsZkNUaLVCx2zxGJZmknHezdmUpgk4A3K4g23b8zGarWSn5+vbF7y15fzfJ+XywsMqF1TcdWBZMlNhlnH61ElJXcgzGf+uw1XIMJDd1WzPm1p5rIuNwlfSFQ2ZLFnqDrbHPVwfWf6ppcymLrd7jdNtvzhD3+Iy+Xi0KFD3H777av6Ru/atYu2tjZmZmb47W9/y+OPP853vvOdi3Xabwnv6mD6Zg3Cz0ZMcMDj8cgfsvz88/ZFL3ZmGg6H46zRtmzZopRRuqZcFKQYVsz26TQqvvveanattzHjCpCgUZ33vGLzc5vzLahUAh/amkfbhJPmUbuiXpSens7mzZuV3wmGRRa9MrHj9BqqLleXpxGKSPyueYL2SRfd024++lgzX//DIOMu+XwePjLCU80TSp8z1gPtnXLyvv88QfOYixuiAffy9SnKQ12abkSnhiMDC0p/0x2I0D0jS+gBGKOl508/3sLNPzzGS50zlKfLP9tdaqPp/+zkib+oY2uhBac/zMNHRhEE0GsEErUquqY9dM4G/iTEGWIQBIFftywRu9KtSaSbdYRFuYyZkqDC5bBj0MDwrIv1Vs0KgfRJZ4AFb4gNUSbv2YHNEwjTP+uNK/GejS9eW4xeo0IAitLOP+ZxdFDuyddkm3nq9NSqBKQYrilLZdEbonnUwVOnp0jUqrixSn4Gfr6MdKVWCSRo1bgCEfZUyhUKUYLR6CjKM63T5EYZ3sGIiCRJ3FYsP19ajUqxGFyOX5+ewRsS+dx1FUqA3bBhA1arFb/fT3UKvNE/T+PJU/z14030znr41nuKKcuIFy+IsZtPjznjnh+DTk1pupGW/wXB9K1kpiCvbTt37mRsbIyHHnpoxc+LiopYt24dKpWKDRs28OUvf5knn3zyYpzyW8a7OpheCFaTAPR4PDQ1NTEyMkJtbS1lZWUXbNJ9sSQKJUnC4XAwOTmpWKNlZGTELT6dU2srH2nVKj6xU6bhv9Yzx9Bi8JyZadOInYwkPdlREsmttVkYdSoefO404XBY+fvLNxPHBhfwhUT0GhXPta3uDFKXZ8Fi0PLbZjmDuaosjZ9+uI7n7ttEaqJ8LRJw/9Md3PvoKaadfvpm5Z38oQE7769L5+AXruA7d2zAqFejVgmIyKVNnUZFIAI/uruGvbVLJJLvvzrAx6NjNp5gjKHsIT8lkafv28q39pYDsmh6WJSoyjbzrVvKEID8lAQkSZali5US/+Po2uzNPwYcvhAHotZqmWYdJ0cccWzUv7uuhDMLAjvX25jziVRmJMYJpHd2dnKwTS4RV2Wtrl7TMeVGAqpX6bXGkJyoJc2kQwJ+d3pqzdfFcGzQTlGqgbu2ZDO66Kd1OrDm5nRncQo6tcAfOmbZ3zHLdRVpmPQa5txBXuleej/svjDeYITvvbcizjz8+JCdgTkv7ZNuMpMTUAnyzLIoitijZFNfSFSeyxjcgTC/PDHB7lIbpelL90ar1WKz2SgsLGRvQwmBCOyfNtE47uejdRZSQzOKk87AwACzs7NY9QJZSXqaR50ryFa1OUm0jrvOKXp/sfCnYgy+GsLh8AX1TP/Y1SH4czA9L5ZnpqFQiM7OTlpbWyksLKSurm6F4MD5cKF6uudCzFlmcXERq9WqWKMth8sfZnTRR/ka5BGA3lmZsWrSa3jgxZFzEh6aRx1syrMgCAJer5eejlauyNNxakbEnJ636ofxxY4ZjHo111ak8YeOmTj2ZQwyOzOVnmk3lZkmvn9XDZevtxGMSMz5JNJMOgptBr55ayVt4y7e84OjDC/IWUVDgYWv3lqDKUGDVq1i+7oUJQO2GrWMRi3ZPv/bdj7YkEtSopxl9M966J72cPa4bFGqkQKbgeI0I/nWBIIRiYNRwYM0s57tRVbCEYlrymzKIpdq1DLqDNEyGS9X+MfEr04sMa2vKpXlFWOjQwadGpNeg8sfpiAqCrCzIlfRb920aRM5OTn0zPrRqMA91s3JkydxOp3Mzc0pJJyYMlJ11trPlzcYYcLhJztZzw9eH1bGklZDMCxyasTBtkIL15anYk7Q8PKgd83M1KBTs6PIyv6OWbzBCLfWyj35x0+OcfaSet/l+ZSmm+ib86JTC6QZtTQO23m+fQaVIG8+8qyJzHtDDM55eX08QqJWhV6j4v8eGsazbAzsiZMTuPxhPrmKvVoMDQXJqFUCvz09ze5SG5+9YUOck47ZbMblctHV1UW+IUTj4BwDAwOIoqiMjWzIMeMJRhRG9KVEJBK5ZKIhbyaYzszM8MQTT+B2u4lEIrz44os8/vjj7N69e8Vr9+/fz/S0vEHv6uri61//Onv37r2o5/5m8a4Ophda5g2FQgwPD9PY2EhSUhJbt24lJSXlvL+7Gt5OmTdmjdbe3s769eupqKhY87Xd01HlozUyU4COSRcWg5bv31Uju6Y0rp5hTTn8TDj8bMxNore3l9OnT5Ofn8/fvGcTEUniiZMrZy4josSB7lmuLEnllposnP4wh/tXP/7mfAsRSaJimeThq71yyW93WRqnRuzsKjTxqY16nFGG5qa8ZHpmPHE7953FKdh9YYw6NW5/hOf/ajspCQJz7iDv/+kJJasG2WUm+awS3v72acJRhvLtG+VRnN8t89q8viKVcUeAe7bmolXLz05MrekHR1c3rn6nIUmSIsSgFmQbuewknTJyclNVGn/omsWcoCEUkdCoBCqWbbjUajVJSUkMueRnZ/vWBjZu3IhOp1NaCidOnOBQxwgZRjUh9+KaZuDtky4iEnxsex6+YGSFmMNytIzHJAStJGjV7KlK4/h4AHdw7c/K1WWpOPxh0s06NuUlE4qIPHZ8Iu41OrXAX+4s4OUueVylNjeJreusHB+y82zrNJvykuib9Sq2as+3z9BvF6kvSCYQFlnwhHgsej/9oYjiRnOuXrJKJaBRCahVAl87Sw1Kr9eTlpZGUVERtbW17K5Zx6Jfwi3KBMCY0L/eLWfER3smL7kEZTgc/pMo8wqCwEMPPURubi5Wq5UvfOELPPjgg+zdu5eRkRFMJhMjI7L70SuvvEJNTQ1Go5E9e/Zw++238w//8A+X5BouFO/qYHo+SJKEz+eju7tbcVPJycl5W6ILb4WAJIoiIyMjcc4yFovlnIG5c1IOpuXnCKbtE06qs8xsKbDysa3ZvD7s4/lVyrGx0RGNfQStVsu2bduw2WzkpxjYtd7Gb5rGV4zJNI86WPCEuKYijR3FKVgStTzbunqp1xf1Pl3OajzQM0+xRc31lamEIhKPHWjhv3siCMiCC/1zHuy+UNzMrDVqe1WVlUQwInJkYIHLcnVERIn31mXTNbXEvFWrBBajBKRYYAxFJH74uqyOc320B3t8yK5kJrtLU9GoBF7rXeD6ijTUgixkYdarGFoMMjD3x89OD3TP445uODZkm2kcsrNMAIkrS20c6J7nmjIb7ZMuyjNMK8QaIqJEx5RbUT7SaDTodDqys7OVHuGoR01VlhGv1xtnBh4rYQYCAVqiYg3XVaRx95ZsftcypVi6nY2jg4uoBdhSIC+8t9VmEhLh5Z61jeYrosS6XEsCKkHg+fYZ/NHqR0ylS6tWIQiwL/rsXVVqo6HQwqI3xLgjQGm6CQm4pjyVVKOOP3QvoBZQNh9VWSZ+0TiOyx9m35lpFrwhPrbMHHw1/MdrQwTCImFRWrUasxwxlvOwR43ZbFYUsi7fWIZJp+L0iJ22tjYaGxtpbW1leHiYhYUFQqGLNzZzqcu8FxpM09LSOHjwIHa7HafTSWtrK5/4xCcAyM/Px+12k58vVwS++93vMj09jcfjYWBggK997WsX3Gq7VPhzMF0DLpeLU6dO4Xa7ycnJWdVN5a3gzWam8/PzHD9+nEAgsMIa7Vz9184pN1aDlnTz6r6KwbBI74yHyqhm719sy2G9VcNXn+1iZtmMnMvl4oVTPejUcOuVW1aIT9xdn8usK6iMt8TwStcMWrXArvWpaNUqrq9M50D3LL5VMo1DffMkaFU0RwXHJ+x+2iZc1KZCeLKbBA08PQjTbpnM9JeXFyqL1Gs9SwPy+9unUQmgUcuMzufbpqnL0CEiz6f+x/s3KOIFEVGKC6IxPHZslMHBQRLCHgpTEoiIEq9FmZkWg5athRb+0DnLnqo0JUh5AvK5fH1/36r3+p3Eg68OKl+XZciBYtolZzZWg4ZASMQTjHBteSptEy5lTGg5Bue9eIMRqrOXMtblBKRZV4ApV5DNhakrzMDNZjNOp5POzk5eaxshy6jCPjPOnVWynvPy81uO44N2qrOTFP3bykwT+UlqnutYux99aEB+X2KjLT98PToKJMgbM7Ug98SPDiwqM7ENBRa2FsomDWoBIpKEXqOiNieJTflJjCz6UQkwbvejUwtkJyfg8of51YlxHj0+Jm8+89cODs2jDn7VOM51URu2o4NrbwYASjNMJGpVnJlwxfnjGg0GanKTGXILitB/cXExer2e+fl5xUmnra3tbbu7XMpg6vV633Qr7H8q3tXBdLUMMxAI0N7eTmdnJyUlJRQWnlu0+s3iQjNTr9dLU1MTo6Oj1NbWrhrMBUFYkzTUNe2iPHP1sQWAnhl5JjNWWtVrNXxmswlvKMK3XuhR+sMdHR2M+bTU5lowGVZKqu0qSSXHksDjJ5ZKvZIk8UrXLFvXpSiznDdWZ+ANRni9L14dxh0Ic3RggU15yYws+uib9bD/jHysDZYI27c2kJVsYMYVYFuhFY1K4J5t+XzzVnm85TdNcglu1hXg5c5ZyjJMNI06uK4ynTf65sk2qTDr1RzsneP6ygxuXia2npWUoGw2Uoza6PlEODwewuFw0JAqB/5fHulTFqxrylIYs/tJStRiSdRgM8rSfCpBFrWwe9+ZQfvVMLLgYyjqkKJTC5wZd6JRCRh1agTghsp0nm+fwWrQkmLU4QuJ1KwystKmiDGs3utqiyojnc3kjZUwi4uLqa2tZcijYkthComJiYQ9DvYUqnm9b4Ffv3aakZERhUHs8odpm3QpQQ7kZ/uKPB0d095Vs1lJkni2dYYcSwKji35e6JhVsklJkt+P2Mzn4yfl0q85QUNJupF0sx6VIFcyzozLGwqdRqVs0HRqgV98ZCNbC630znrYWWzl0eNjjCz6uXd77pqfqVBE5MvP9ZCdrOerN5WSYtRyJMpQXgsalUB1tpnWCfeKgLYh20zfrAdvMIIgCBgMBjIzMykpKVEC7Lp161Z1dxkdHV3B0F4LlzKYAhdd+e1PFe+Oq7wAiKLIwMAAJ0+exGazUV9fT3Jy8iWzYVsLy63RCgsL2bhx45o7u7U+1OGInHWeq18aKwPHBshVKhWZRhWf3FnA823T/Oz5IyQlJVFTt5nuGe+almtqlcD7N+dwLOrmAjDlkRhe8LG7bGnetr7Ags2oW1FGPtwvC7HfXZ8LwBNvdPJ8yyj5Vj2FNgNtU16GoiSM7hm3XDI2aNlTnUFVtpmZaFb8VPMEYVHiri25+EMi62wGQhGJpukw29dZONQ7jxhl5sYwsujj2qgK04JnKQg+1rxIcXEx916zUb5Xc2FCqJmZmSHVP4FagN8c6WZbbiIufziq+Sqzjr/z8h9PreUbL/QqX9fkmOmc9hAWJcKiPBc7uujjle75qEqPS3nd2WibcGHUqSm0LW2elmemrRNO1ALnJLcNLfhw+MJsKbSSkZFBSUkJf7e3nswkPU/1hxWD6ubmZh5/5SSiBMWmEE6nU9kg7sjRolEJPH1mJRO4e9pD/5yX90Z72w8ekGeBY6QyUYK9tZmUZxg5NdoTMzIAACAASURBVOpAoxLYVmhBJQg0Di0iSuD0heiedrMlP5nuaTeH+uRM9+bSRMoyTDQUJjM07+PWGlmu0pKo4ZqytWfIHz02xtC8j3+8oQSTXsPWQotsQn4elmlNThI9cz5CYvzneUO27CXbObW6MEhMum+5Nm7MPm35/T1x4oS8KR4bW9VEQRTFSxLw/tjs2nca7+pgGqNTT01NcfToUQC2bdtGZmZmXCn1YgbTtY63XPzBYDCwbdu2t0xyGpz3EgyL51zs2iddmPRqci3ygqlWq/H7/dTqZsgyaXhyUENqeibtky7CosTGc8jB3bEpB61aUIhILXPyYri7bElsQRMt9b7WMxfHjnytZ47kBA0VyRHWJQmcGPfTvShyTUUGwYjE/U93kBEdwp9xBdmzTEnp89fICk8P/L6Dx0+OsXWdlVtqs9CqBUYWvBTaDBweD3LZOguz7iDNow4eOTISx+J9/OQ40Wqv0mebcgU5MWwnz5pIQUoiEQl63VrKysq4ckc9WwstnJiKsLPASDAioRHAFp0r398+g8t9bs3cSwFfMMKxZSXFmPvLziLZMFsADvcvIgF7qtI4M+4ixaBdoV4ES2IMqrM2a0vB1EVpuolE7drZzOlov3Rj7tJzk6BV88nL8mmf8tLvTVAYxPMaG3qNQHlaAuPj45w6dYqTJ08iBD3U5yTyzJlpguH4APB8+wwalcCddVlUZBgZj2alogQGnQqDTs3O4hQ25SXjDkQIixKbo+XZ/e2zJGhUBCOSHMRTDdz3eCsRSZ4fHnXKz299vryBjLnAaNSqFQzwGCYdfn78xghXl9m4PJoRby+0Mu8J0Td7bkZubU4SEREGHGFOjtj5ReMY//RCn6Lx2zpx4fOmMXeXmAH4li1b2Lx5s+IQtZqJQiQSuSTPa+yYl9pQ5E8F7+pgGgwGOXHiBPPz82zZsmXVEZN3IjNdyxrtraJz6kKYvE4qs8yoVAKBQIDOzk68Xi+bajfwT7dvYGTRxyNHR5RRk+WL4tmwmXRcU57O71smCYQinJ6NUJ5hWiFsvqc6A39IVPqcoihxsHuOihQBx+ICN9Xl0zMXIBSRuKosjX39IYbmvXzr1kqsBi0CcPWyAN1QaCVRq2LBG2LSEeCuLTkYdGrqC6y80b/AzRsy6ZgNsT41EUGAf3+1n0lngOsr5GNY9PGG2eKyBeWbL8r9z1tq5EH/fa1LLijXlKcx4QxSWpAtl0wNGvySgEqAkAgPv9oeR8h5J0zBv/fqoDISolYJNA7Z0agEdFFykV4jUJlpIseSQEOBhTPjTmpy4tsAEVGie9pN97Qbk07NG/0LiglBbGEUJYn2aLA9F1rGnCQlaOKyW4BbazPIsSTwg9eX7O8ahx1szrdQVJBHRUUF9fX1CoP46nUGFn1hHnmxkaamJnp7e5mcmuK5tml2FFmxGLTotfHLmCjCFSUp6DUqVMuiX32BhWBY5JXuOcXhRSXIzjoOv/wZ35Jron02iCRJlGWaMOnVPNM6Q4JGxZw7GGfovRzffknOjP/+2mLle9vWycH42NC5S70lUUGLf3p9nr/4xRm+/dIAz7ZN83L3PBqVoPR73ypiJgo5OTlxJgo5OTlIkkQoFFI2MF1dXUxMTKxwKXor8Pv9JCaubA39b8W7OphqtVoqKyvjxJXPxqXMTGOi+AMDA1RXV8dZo70ZnL2r7Jpyo1ULrEtdvTwcjsgSZhWZZkU9KSMjg8TEREwmE5cV29hdlsqP3xji+NAi+SmJ2EyrE5lieP+WHBy+ML9rmaBnIcKu9SvlAzfnW0g3y8SgcDjMc0dbmfeGuLEml+rqaq6tzJStwTQqkhM1vDAU5raNWWwvSlGYvssXR61axeXrbaijT3G+Vb7ey9fb6J3xsHWdFQk4PuygPMNE49AiVxYnc5lVXpwCooqIhBJwlgfWvlkvA3NerokG72ODi/ijrOOrSm0IwMHeea4qseHwR/AEJa4ukxfop/sjcYQch8OhjDzEGJlvhzByNiRJihMXyDDrCEYk1qcZOBC1A/vGzWV0Trt5T3U6Tn+YwXmf0i9tGnXwpWe62flvR7jjp01EJHilZ55PPdHGNd8/znXfP86T3X6mXUGGF3y4ApFzKh+BnJnW5KzMbrVqFZ+6PJ/OKTcHeuaZcwfpm/XSUBDfRtBoNKjVam6uLybFqKXDl8SGDRuw2Ww0jdiZcYcoS3Bx+vRpus8qg/rDItdHy/exdoZOLbA+zcDhqAD+3poMErUqVIJA55SH5AQN9QXJbC8wYfeLDMx50agEqrLMjNn93Lkpi+REDU+cih+9AWgcsvNy9xyfuCw/bgOZlZxAQUpiXMXgbDzfPsM9j7Uo5/jtW8s5+LltHPn8Do58fge7y2y0v81guhpiI1C5ubkkJCRQX19PXV0dWVlZRCIRxaXo5MmTdHd3Mzk5idvtflMB1ul0vmu8TOFdHkxjJZFz4VJkpuFwmL6+Ppqbm8nOzl5TFP9CsJryR/eUi5J0E1r16m/v4LwXf0hE55lGFMUVpW2QVXL8wQiNQ4vnzEpj2FpoJT8lUdbrRS4vng2VSuCGynQO9s7x2uFjnJmTR12uq5FHDdanGVEJkJSg5tsv9qJTw99dW0L3tFvpTR4bWIg75qZ8CxFRHm/5zku9SJLE5SVyUBua91KaouX5jjkiERFJgmvz4OZdW8hM0uMLiRh0ahoK5XONSFCQsrST/vKz3RSlGsgw6whFJIWZmWrSUZubxIHuea6tSCUQkdBrBHRqFWqVwLwnRO+MO46Qs9wUXKfTKYSRc3mWXiiebpkiuIyRPBPNJrumPQjI+rRTziCiJAu+xwhGlkQtn/yvM3zksRZe6prj6rJUbqqWg9CP767m0Xtq+T/XFVOcZmBfX5BbftLMd6M6xasJ48fg8IXon/NSt8Zzc1N1BgUpifz40AjHo1nbtsKVPXlJktBrNdxcncHB3gVcQYmUlBSaF9QkalV8/MYG5vWZ+MJL156gBr0acjVOekenaRqVSVjI/7G/fQZLooaabDP+kDy+cn1FKnOeELfWZFKbKb//jVG/0dgc856qNG7ZkMGBbnkDEENElPjOy/1kJem5Z2vOimtoKLBwasSxQszeH4rwpWe6+funu8gw69mUnYhKELihMo0Uo075LG7INjPuCJxT8OLtYPnasZpL0caNG8nIyCAcDjM8PKzYAPb09DA1NXVOG8C3q370Pw3v6mAK56/nX0wtXUmSmJ+fZ35+Ho1Gw7Zt20hLSzv/L77J8+uccq/ZL/V6vTx/VHawuL6hiuLi4lWZfEWpRm6pzcIfEhXHlnNBpRK4c1MOA3NejFqBioyVWbHL5aJQvUAoIuE0F9A0FWJjXjIp0fnQ9knZW3XOE+KN/gX2FmuxmXS83CmP3Rh0akWRSLme6KjN5nyZ7HGge471aUYyk/Qc6pvnqsJE+uZ89ET7VpoUeSd+xybZHSYzSc+JYTtbo5mR3RtUMtSWcRdTDr8yc/pCx1Kp9+oyG53TbvKsCRh1KlIS1Lzev8jeDXJZ+EvP9qy4/tUII5s3b1bKbcs9S2OLldfrPW8/63sH4sdNYrFld6kNCdi2zsrvW2UTgUKbQTHr/sb+Xjqn3PzdNUW8+rltfOPmMgQE0k06dhTJ/cYP1ufw0F0b+M4VBm6sTOX1vgUEIBBaO+ifibqdrOUUo1EJfGxHHp3TbvadmcacoFn1eY2RnvbWZBAWJfZ3zBIWJV7qnOOKEhsGnZqfHInPFEUELi+2YjEbebF9Cgmi854SL53q5dWeOa4ps3F4YFEpizt8IQw6NdeUp5JhVJNuVHNi2I43GKEjmtkOzvu4oy6LsCjx+zNLJLpnWqfpmvbwud3rlD71cmxdZ8Gz7Dgg+8ze82gLT5+Z5i935vPLezfSkJPIgi+ywt80Vk6/FNkpnJ/Jq9FosFgs5OXlUVVVpdgApqWlEQwG45x0ent7mZ6exuuVZRn/HEz/jDhcrOZ5zBrN4XAo5rkXg0F3djCddcm72PKM+MwhEonQ29tLS0sL86IBvUZFRc7K7HE5Yh6UzSPnnpWLYW+tzKy0JKgQlom6hcNhurq66OjoYM/WCrKS9TzXNkvbhJNd0SwS4PXeaC9VkrO/q/PlsZo/dM6wpcDCzuIUXu+diwsuB7rn0KnlfmWhzcC/vdxHRJS4fL2NN/rmKNY5EZBnClOMWg5G+7Xv3yKzh2fdAbzBCPVRVxuHP0LRsj7f3/++k53FKdHzmOOLT3fy9093KsL5r/cusD3fhN0vj3jEenHtk268wfNXNFQqlVJuW+5ZmpaWRiAQoL+/f0X/dfnAfvuEk0VfGBXxZeqbqtIJREk7O4us9M54uK02gwVPkMdPyuNEe6rTee7TDdyzNVchE7Wt0Q9NM6j42k0lrLMlolELfOQXLTyzhgjH6TGZ7Xuuvup7qtPJTtZzcsRBfb4sv3c2YsG0JN1IZaaJ37dM0zhkZ8Eb4oaKNDyBsMJ0jX2SghGJG6ozycjI4PS8QKppqW3yTI8bf1iiSLPId16UTeHVwIkRB9eWy8EZoCYzkRPDdn7fMoU3JGLSqzk2JOsGb8pLUhxtfCFZ1akm2xznbLQc9VHSU0wXeMrp5y9+0cLQgpcfvK+Kv7qiELVKoNQmn+fZtmuVmbKDzNvtm66FtzIWo9FoVjjpxErwPp+Pjo4OtmzZwmc/+1k6Ojp48sknGRoa+l/P7v1zML3EWM0a7WLi7GCqkI+WuX1MTU1x7NgxdDodW7duZdAepjzThGaNMnAMfbMeNCqB40N2zoyvTrxYjhhZZcEbIRAKywIMExMcP34ck8lEQ0MDVouFGyozFIeQy9cvjRoc7J0nP1pmLUo1oFHJrNzuaTfXlqexqySVKWdAsazqmXbTNuFkY24yJ0cc/NWV6+ib9fDbU6Pk69x4giIj4SQklszAX+maZd4TIN2spyjVgMsfIdWoo23CRXq0Lzww71POqWnUxaejXpRhUeKNvgUO9Mzzs6Myc/nfDgwSFiV8YYkEjYrXehbYGC2BfuvFtzYmE1usCgoK2LBhw4r+68jICJOTk7S2tvL5J9sAEKPXCGDUqfj6zaWcGnGiVcsElgSNirJME3f/rAmnP0JDQTLf2ltO0jJJRYcvxNCCb9V+qCRJBCMSo4t+7qzLoibHzD/s6+a/lukAx9Ay7qQ0w6QEp9WgVat4b20mwYhE2hrCIrC0md1bk0HntJtfN03ITN31Kfz4jRHlmnOtcvVEAC4vTmHRG+LksJ00kw6DTk2aScsbw3LZ+19PBZn1SaSZtORatEREKNfZOXnyJBMTE5RbZIH8R4+PUZVlYvs6K8ejIy631mQyNO+jZdzFr06MM+MO8vlritbcdKcYdZSmG2kctjPtDHDvYy3MeYL8+O4NXLFsI5lnVsvv1VnB1KBTU5RqoG3yTyeYrgatVktKSgqFhYVs2bKFpqYmPvWpT1FcXExXVxef+9znqKurw+Va+zo+9KEPkZWVRVJSEqWlpfz0pz9d87Xf+973yMzMJDk5mY9+9KMEAoE1X/tO4V0fTC8VbVsUxVWt0S723zs7mMYk88oyTLhcLk6ePMnc3Bz19fUUFBQgCAKdU65zMn1jaBlzUJOThNWg5cFXzh8YXu+dRwB8EfhDu+zzaLfbqa+vJzd3adj9xuoMIqKEQadWJOsWPEFax504fCGSEjT0zrgRo+IPIFu17SpJVf4OwL4zk6hVAh9oyCUYFjHr1ZSm6vmPA31cUZEjzyj2yOLmoiRnLYGwyJX/+gZff66LW6ICDilGLW/0zSsm4oIQn+Ul6tRKD9gViGDQqdmUl0RSgpqwKPHagLxAJCVoONAzx99fJzM6n2ubuWiuH8v7r8XFxWRmZpKSlc+4K8zZT9RtFUkcaB/HHxYpzzCxv2OW+oJkPvPfbXhD8vm8Z8NKs/bY7OlaurPd0bnVhgILP7prA1eV2vjWH/p57PiSYEfMX7T2AvxLrVGhjI7J8xus76lKRy3Aob4Friq1odeo4sqt2mVjK2FR4tWeOSISjNsDBEIRZt0hwqIUlR6UX3d1WSqiIAeSa7ZvpK6uDrPZTFWafF7jjgA7UoMUGYJMu4J0TyxybbmNRK2KJ5sn+dmRUa5YL5fDz4WGAgvNo07+8vEzLPrC/OcHapSqTwxqQaIsLXFVD9PqLDPtk+5LktldasGGuro6HnjgAZ5++mlOnz59TkLS/fffz9DQEE6nk3379vHAAw9w6tSpFa978cUX+ed//mdeeeUVhoaGGBgY4Ctf+colu4YLxbs+mF4IzqU0dDYkSWJmZoZjx44p5J6zrdEuJlYGUxdmvZr9x9pobWuntLSU6upqdDp59z+26MPlD1OZtfpDHfvABsMiHZMuNuVb+OTOQg73L3B8cGHV34nhUN88VdlmUhIEfts8SVlZGZWVlcrfjqE6Sy5dmfQahZ17qE8OkA5fmDs3Z7PoDTPgkMXyS9ON5KUYyEjSU5ll5rWeOURR4tnWKXYWp7C7LA29RsWThzt5f5WZOZ/EmXmozDIz5gzz3g02cq2JlKSb0KigwGbg8ZPj/Oj1QQRgwuEnLEqYE+RFNCbAEIMrEGFnkdxTNevVHPjsVh69ZyMP3bUBgJLokOmMO4jdF8blD2PSqwmJEr85y8LrYkEQBP7heblXqjlrLbyuJEkJcEbJiycY4cSwHYNWxb3bZJLMasGudcKFgPz+nA1JkpTsaENUMehfb6/g2vJUvvPyAM+1yf3k3hlZsSfm1XkunBp1YtCpaZ1w0Xoe706LQUttbhLBqGtPz4ybhWipPc2kY2DOq7xvB3vn2dc6g0YFTn+YdTYDd0TFHQw6tWIGvj7NoPiaNg45UKvV6PV6SnLTMejUaNQCH7u2jl1l8sZjf9MAHWeaqUtT8XzbNK5AhPt2ZJ83yNXlJREIiwzN+3jwjspVy9+RSITqTCMdU+4VOtfV2WYWvSFF4eli4lJ7mb6ZnunyqQpBEBAEYVX7tUcffZSPfexjVFVVYbVa+dKXvsQjjzxysU77LePPwfQCcKGM3pg12tTUFJs2bVqT3HMxsTyYSpLE6ZEF3IEIX3ltnv+/McLhUT/isuwoln3ENHnXOlbHpItQRKI2N5kPNOSSZtLxg9dW11UFWPQEOTPuoCjBx5X5etrnRdzS6uW77hm3TDRyBxT5vYM9s6gEeTb2vsvXoVULHJ+KcGrYzu7ypX7UFSWpNI/aOdQ3x6QjwJ6qNPp7uym3quhyqPngVbVsyEnix4eGiIXE3euTuXNTNieH7dTmWmQyy19tZ+f6VCRkCcF0s45TI3ZSDHJAjZmGxwQdfnxkFI1KwBWIKEP41dlmUoxa8qx69qxfIlx988V+7tokL97/9+BQ3PzqxYI/FKFpVA5A0YkdtGqBy4tTyMvJpm1Wvq+Tfi2CAMl6Ffc3JNLUM4pBAxH7hCJIH0PruIt1qYZVDbElSaJ1wk26WUe6WR/9eyq+tbecLfnJPPBMN41D9mViDedeRCVJonHIzmVFVpISNDy8zNB7LcQE+SOiFOdAsylPLuWrkMeC/vvUBKdGHMqG6IEbS5h2BRCA7hkPW6Jks1hwsiRqFNk/URSZdsseqJIEGq2WDesyyTDrGA0aaGhoYE9dASERqtJ0RBZGOXHiBGfOnGFwcJD5+fkVIvQx0txVZalsX7c6T0EURaqyTATCIj3T8fKJseB7Kfqml9Ix5s2I3Mfw6U9/GoPBQHl5OVlZWezZs2fFa9rb26mtrVX+XVtby/T0NPPzf1xf4Xd9ML1QG7ZzBdNgMEhnZ6dijVZTU0NCwrkZsBerZBMLgIuLi7x+5BiTrhAfvyyf7925Ab1Gxd/8ppWP/qJZEa/vnHShUQlxxsYxqFQqJQM/PSb3SGtzk0nQqvn4ZQU0Di1yYpUBdJfLxS9fOoEowft2VXNztVyOfap55UwewKHo4iJK8HKXXAp9tWceUYJPXVFIUqKWhkIrJ6bCRKR4oYYrSm2IEvz8yAgJGgGzcwiLxcIt9UWM2v0ML/i4b1cho4s+hQHZO+fjjk3ZaNWyLdbgnBcJ+L931/LJqEH6jCvI8cFFJdvxhWQiUmziZNEbJs8iB5FXo7ObKkFgV3EKjSNu7qhayjaGFnwseOXnxe4L80b/uYf23wq+d2wlKSwUkbijLpN9rdOIEiRqVQwv+jHq1Dx672au2lrLZCiB2txkrBYLLpeLzs5OGhsbOXPmDKdH7ZSl6td81lsnXNScpder16j49zuryE9J5PNPdXB0cJF0k46spNXntmMYnPcx6w6yo8jK3VuyeaV7noG5tZWCQhGRjkk3erWK59pnOTKwdE9VgoAA7CiysjE3WSHxbFtnRasWyLMmcGRgEZ1GhYB8X7KT9RzonmdzfjKXFadwdGARUZIQRZF9nXZUyEG7ZcyJIAhy33TILn8v6l2bbDZSW1tLfX09JSUlGI1GFhcX40Tof/xyO/taZ7AZtef0C45EItREjQXOnBU0S9ONaNWCshG+mPhT8TKN4Yc//CEul4tDhw5x++23rzr/73a744J07Otz9WPfCbzrg+mFYK1gutwaLTk5WbFGu5DjXcxxm6GhIfr7+9Gnr0OUoCbXwp7qDJ7+1Da++p5ymkft7H3oGI1Di7RPuihOM6Jfhca/PDM9M+YgK1mvSPm9f0suqSYdP3htQHn9cjH8kZARc4KGuvwUspL0bM418lTz5Ko9wzf65ynPMJJnTWR/+wxtEw68wQhpJh3Xlst9y6vL0nAEJCyJGqqXLeA1OclYEjWcGFqkPjuBXTtkJ50rlH7qHLtL00gxaIlIckZ2bNhFqknP9ZUZimXbq91yL/bz15bEWZCZ9fJ9ESXihNcBhqMlwRc7lxxyriyx4Q6KjDvDbM6Xzw3gqZZpUqM9wR8dGj7Pu/jm4A1GaJxYyihj28EMs46dxSn8pmkSnVpQhNt/dFc1OZYE3IEwfTMe6vIspKamUlRUxMaNG6mvr8eQlocjIJJriCjzrzE9V6fTiTMgMmb3r6rlm5Sg4cE7KmWCVv8CNTlJ592kNkbZrQ0FFj6wJZsEjYpHjq2dnZ4YduDwh7ms2MrBnnllrrYs3UjzmBMJqMwyKRJ8IMsnhiIS73tYFqIIhEUkoHnMyTqbgaEFH7dsSOeyIisL3hCdU278oQjPd9m5oiQFtYBClNtRZMXpD3Owb57fnZ5mfZqBk8N2nP4wgiCQmJhIeno669evV0To/YZ0fnRino0ZOjanSjSPOjjd2r6qRq4oimRbEkk16lbIB2rVKsozTMp88MXEpbZfeyujMWq1mp07dzI2NsZDDz204ucmkwmnc+kexb7+YwtEvOuD6VvNTM9ljXY+xIQb3g5iBKfx8XFMJhObN29mxCF/OGNmz2qVwF31ufz2kw1YErV89LEmTo86FNLP2VCpVMoH/PSYg5qcpd1fok7Nx3YUcGxwkVPDi4yPjytm6fX19RwfcbGjKEXWL1WpuKE0mQmHn6NniSx4AmGaRx3sXJ/KjVUZHB1Y4JGjsuHvx3cWKD3Uy9fLTMccS4LyvXA4TF9vD5mJImEJ7t5RoihG5aUYKLQZeL13nrAoEYj2ndbb9Jwa8xCKiHxoay6eYIQ0s44DyxbdmGarSpD7o8kJGvQagZe65thWuHQPYvuCvlmvwlzeXmRFqxI4OeHnqlIbdt/S+zofFc9vnXCt6eP5VvDPr8YHnRgj9+4tORwdXGTM7icYkYhIslpTbVQ84cy4CwnZIHs5BEGgb1E+12s2FivzrzFZy/HxcTpnZIazRXSsOv+6zmbgi9cUEYpIFyQw0DhsJytJT541gRSjjltrM3mmdUa5r2fjpa5ZErUq7ru8gOUdxZ3FVqaiv/PwkVFFHMGokwlJm/KSlO8J0f8dvjD+UAS9RsV1FWnsiJLL3uhf4PVhL65AhA9vzWVDTpISTLetsyIAPz40giDAX19ZSDAixT1Hy+ENRvjyC0OkmvT84IObubmhjLAIDo0VQRCYmJigqalJkfDzer34/X425JiUOd3lqM42y2brF4nQFsOfYjCNIRwOr9ozraqqoqWlRfl3S0sLGRkZ2Gy2Fa99J/GuD6YXguXB9EKs0c6HtxtMZ2dnFYJTcXExRqNRYema9GpyLPF6mOvTTfzXx7awPs2IKxBmrY+jWq1GFEXm3AHG7f4Vykd31ediSdTwL8+cli3KGhrIyZGFGqadAXYWR/VOVSq25xuwJGr57Vml3pPDdkIRicuKU9gTZfUe6J5DoxL4QP2S6fKYXV68PQFZhHt6eprjx4+TmJiI0SRvBsyJ8dKLV5TYOD60yNOnJ/AEIlgNWua9ETwhkaYRO3V5FurykvGHRE4OL2L3hgiGRSYdcsaZHCUgOf1hAmGJOU9oTfWnWB/MoFNTl2PkxISf3dEZ04KUREx6ddx9/mXj2CpHefOYdvo5OLDEfk3Sq3H4w6hVAu/dmMl/nRhHu2xm8zO7CpSvW8blmdvVssuWcRd6jYqSaPl/uZ5rRUUF434dagG2lmTFzb82NzfT39/P7OwsOpV8xc1jzhXiGsshShKNw3YaCi3KBvQj22Thil+tMmoTESUO9MxzRYlN0bGNYXl/V5Tglqhohj8sIkpwZ10WzugGZ0tBsvKedE652V1mw6TXYDPqqMoycbh/kf19XtalJLAlP5kdRVY6Jt0sekNYDVqK0wx0TLm5sy6LK0ps5FgSeKEj3sc3hm+80Me43c8/7y0nOVHLpvxkBKBjNqTc0+USfqIoMj4+TorkZHjBx6nWrrhNS3WWGV9IZHD+3KL5bxZ/KsbgMzMzPPHEE7jdbiKRCC+++CKPP/44u3fvXvHae+65h4cffpiOjg4WFxf5xje+wb333nuRz/7N48/B9AKg0WgIBAIXbI12Icd7K2XeWCAfHx+nrq6O4uJitFqtcqzOKRdlGeY4/doYrAYd9+1aB8gjJUf6Vy52sTJvS5RE4Nj4swAAIABJREFUUrMskIRCIYb6urkmT0XLbATBmqdkhW/0y9nnjqi4gVqtRiPAzTWZvNQ5w6J3KVM53D+PXqNic76F8kwT2cl6/CGRjbnJikYuyG4yKkHuP75y5CTT09Ns2bKFjKwcuqZk1unhvvhr2FWSSjAs8p+HhylOM/KJnQUM2YNohCUT8Y9dVoDLH0aU4GDvHD88OMjgvA+jTs1itKd1Xal83QLwet8C5RlGEjTxH5WXupYykh2FSUy4ZMJKcVQP2R2IkLZMMGBf6zQLF0ES7rO/aY+/5qhDyZXrU1jwhjgyaCcUzV62FiZTlrGkLNQy5qQ4zaAYcC9H67iLqqy1JSgHHCIl6Uay021x869VVVUkJyfjcrl4tW0ErQryzCr+8fed9I3NrLpp7Jn24PCF48rouZZErqtM49dNkzj98b/TNOpgwRPi6rJURXACoMCawFOnl+zZvn5zGf6wiDlBTYwQO+bwISFnqD/7UC350XlUb0jkqmVznpcVpXB63MmgPcwdtWkIgsBlRbK2cyw7jX2q7t6chSAIXF+RxrHBRUXAI4bn22d4tm2G+y4vUKoeSVGVpxNnCaDEJPx0Oh2VlZXctLUSgOlwYtymReWQqxFHusfx+/0XjXPxpxJMBUHgoYceIjc3F6vVyhe+8AUefPBB9u7dy8jICCaTiZERuYJ1ww038MUvfpGrrrqKgoICCgoK+OpXv3pJruHN4F0fTM9XmpUkCZfLRV9f39u2RovhzUoUhsNhenp64gJ5zI0hdiwx6vhRcQ7btf5ZeWh9nc3IZ544Q9dUfDkpRkBqGXMoIt+SJCkl3eTkZL542zaMenWULSvjSP88hTYDudbEuOPcsSmbUETimWV+lEcGFthSYEGvVSMIAuqoCtR7o/J+MbzaM0dxsvzeDIeTqKmpQa/Xc6h/Hk9QpDTDxKs98SW2+gILeo2KkQUfH96ax/s255KoVZGUoFaC6e6yNIpSDahVAr9tGucnbwxx28YsRV7QqIXBOQ91GRokoGPKTXGynOks36McH7IrUobbC+VS1qH+Ba4osTFmlzPd65axkMMiPH1mdcWgC8WxwUU6ppbKxetsiZyJzmh+5ooC/u0VuZ+ti1KQP7o9X3mtKEmcWWP+MxQR6ZxyrWkGHhElBhziqj/X6XRK/3Xcr6cmJ4lv31aBNyzxLy8Pcfr06RX915iLSv1Z4vYf3ZaHJxjhN03yOFEsYLzcNYdeo2LX+hR+fmwpmPpCEUaifeybqtK4viKVQ30LXF+ehk4j27D97rR8z//hetmub7nS0n8eHsEVDdw7i61IEuhUsKdS7r9XZZlJTtRweGCRkQUf/VEWd0zU44bKNCIScaXeGVeAf3qhj5ocM5+4bOn+y9ebTMuYk0B45ZhdTO2pKjo2NuiU4jYt1zRswKBV0Tbuoru7mxMnTtDS0sLg4ODbciW6lMHU4/FcsOZ4WloaBw8exG6343Q6aW1t5ROf+AQA+fn5uN1u8vOX7uff/u3fMj09jdPp5Oc///maRiXvJN71wfRciFmjhUIh8vLy3rY1WgwXOmojSRKTk5McP34cvV7P1q1bVwTyWDAdXfThDUYoP5ch+JSLApuBn92zCXOChk8/3hKXNS5lpg7KMkyE/B4aGxtxOp1KSTfZoOOD9Xm80DHN4JyHYFikcWiRy4qXzivWey3PNFOVbebJpgm5VOsM0DvjoTjNyL8f6OejjzUxuigvTE82jfNq9yyhiEhT7xgjCz4aMjXkJOs5OrJU2trfNo3FoOXmmky6p92M25fUivRaNZZE2artlppMzAkabixLxu6PMDDnZWTBi1olcN+udUREieNDdsx6NX+zex11yfKi7AtDz0KYD1+2XjnuS/1eknQCtoSl914CfnV0kEgkQk6ynmyTOiookEJElMhO1tMx5ebeZeLn/31y/C2PyYQiIv/fr+Oz0n+8YT0jCz5ykmXR/oN9Cxi0gqwqZNKyfd1SsBqc8+Lyh1ed/+ye9hCMSKuWfyFqjBCB2ty1ny1fKELXtJu6vGSq82x8Zlchx8b9zBkKVvRfX24ZJtMg4JwaZnJyUhFLL880sX2dhV82jhOIzvuIksTL3XPsKLIiiiKz7qCyqZlxyxmhWoCv3FTKkYFFfCGRq8tTQZLwBSNMOAIUpxooyzDh9IcZigZCS6KGwXkfn3+qg7AokR11e0k1qDBGM3e1SmbxHh1Y5EdvDKNRCyRqVRyOMonLM4zkWxMUQpokSXz52R6CYZFv3lKu+OPGsCXfQjAirSrMEINBp6YkTSZVHRlY4KdHRvj2S/1899URUow6+p0oDOKysjKMRiN2u/0tuxKFw+FLxuaVJOmSjwb+KeHS3MX/4fD7/XR3dxMOh6mursbn82G3X5g+7YXgQjLT2NiC0Wikvr5+hfDB2cc6W0ZwNXRMuqjNTSYjSc8P3l/DB352kr/9TRv/+aGNCnEoFI7QOu7k8nw9XV1dVFZWrmDJ3bs9n0ePjfCzIyPcXJOJLyQqJV6IH7G5oy6Hrz7XRfuki65JeRF57NgoapWALcp2FYDmUQf3/VcLtkQVJVb5sdy1PgXJAL9pmcHtD6NRCxzonuM9GzK5ujyN777Ux2s9c3ywQe61LniCzLkDSMhCDCXpJm7fYON3bfLi91rPHB/emkdZhgmNWiAckbD7wuz+3hHSTFoStCr8UQH3rmkPhbZEnL4wC94QapUKp0+Me81DRyaoSZBLzZVWiYPDdr52fQHWRA0GnZqWcSffvq2CX56YICxKTDiDHBlYVLR+3wz+/uku/Msymuo0HX/olDOi99Zl8lfRQGvQafCGQtxZF0+IW82sO4aW6OK+VjCNLf7nUjVqm4iayEfJTR/ZlsvLXXN888U+GgqSSTGbMZvNZGRl0/fsEW6sTCMtLQ2Xy8Xg4CBerxetVssNBTqODgb5XfM4xYJA+4SLGVeQv75SFocA2WTcF4wo/c891ekkatW83D1HUoIGm1Eb56Lz11fJ7Y3Wcecycfswn7+6iO++MsD3XxtS5oodAUmWwIpiR5GVFzpmea51hg805DBh93Oob0HJJK+rSOPnR0dZ9IZ4tWeOwwOL3H9dcZz7UAyb8pIQgJPDjhVZuWK8Pu7EG4rQPeRR9HwTtSq0ahXOaG88GBbRaVQkJCSQkJBAerrcJ5YkCa/Xi8vlYnZ2loGBAURRxGg0YjabSUpKwmQyxQW4S5WZ/m/X4V0N7/rMNM4cORKhr6+PpqamOGu0S+lpejaCwSAdHR10dHRQXl5OVVXVmoEU4oOpWiVQkrZyfhTA7g0xbvcrykc1ucl85aZyjgwsKCVblUpFy8AUnmCEjXkW6uvrV6Wb20w6btuYxe9OT/BS5wxqlcDWwtWD6Xs2ZMjqRE0TNA7b0akFvnDNeg59ficJUemeXSXy7OhfVGnJTk7g2ESQBI0KQRDYVZREKCJxsHeOQ33zeIMRbqhKZ53NQEFKolK+BXmuNbaGxr6fZ0lgS04iKgEeOTLM1Q8eZu9DxwlHX6hRQaJew6QrpARJgJ8cHsXuDbHgDaES5FKnAHHzkyERnp+1yA4w2QmEIhIvNPVRYREZW5QVeV5pG+UjDVnK7/yqcSXB5nw4MbwY16MF+GhdEs+2TqMS5I3IYvQ856IM4nu358a9/vSYE6tBq/QMl+PMuJP/x955R8dVXmv/d85UjUbSqPderWo1yx1jbIoxvSa0BCc3/aaQfrlp3CQ3N/VLIAUIEJLQAgk1BowNBjdZsnq3eu/SzGg0fc73x5kZaVRMz8264VnLi4U0Mzpt3v3uvZ/9PDF6NbEha5fKGofNBCtZM0As/3xYEmtQigJ3XZaD2ebip8tcbdrGzFgcbqrSI1aJpRcUFLAjJ4aMcBUPnBjEvGDh0WPtKAQojhI46CX7LDrcKBVL39tPbk/B6fbwWtcM5+dEBogbKASZ0bz8GFMjtEjIWeC1pXE8cHKIP54eJjNKh8Up0T6xVAnZ5mX6CqLAgS3J7MiKYMxkp8c7E3vhBrnU+0zTOD95pZeKlDBurAhsWfgQFqQiL1ZP7RrGEZOLHj79WAsffqjBPxP+rUuyOPXlrZz+6naO37GVH12Z5zdwXws+V6K4uLgAV6Lk5GQUCgVjY2PU19dTU1NDR0cHIyMj2O32902dzXdM/yr4lw+msFROPXXq1JrWaO+Hp+nKzNRnwVVTU4PBYGDTpk1viVbuD6ZjZjKidGvOj8KSAP5yGcHryhO5rDiOe4728Ub7CENDQ7R4e3LnFaae84twYFsqbo/Ei60TFCeGBrAqlwfT0CAVF+bH8HzTOCd6ZrkgL4aP70ije8rCoLfEWx4qLw7RCSk8+JFKFAK4JYkvvTSJ3ekmMljNKx1TvNg6iUGnoipNHi/YlRPFqb45LHYXHo/E42dGqEyViU0+d5gpiwuXW8IjyVqrqRFB5ESqUQB6tWwOfujzW3n9jh3+vqkPiV7rOY8kCyKIgiw2oFMvfW3+2jhB26SN4jgdQSqRQVcI12zJxeaSmbavd8+xzbBU1jvWO0fn0ORb7pnbXR4+/XhgeXf/hnDaJu0sOj0YglS80SMvzr5glxsT7HeB8aFhxETJOvOfjSNmSpLWnw1tGjWRYRDP+TzUDRnJjNIRtoxhnRUdzEc3J/Fs04R/rtT338rU1RmyWq0mOjqaT+3KZMzi4eyilvppKInX0TUyjdXp8S9YQctOz+6SONU3j9nuZm9eFI3DpiW1JEl2UoIlItENZQkkh2s53DnN1/ZmEheqYd7q4sbyBATgWO/8ss+Wn+NInYoovdpfVXijWybd5cUGk2TQ8tDJYRxuie9cmrPKEH05KlLDaFjWN/VIEg+eHOLOE3bqhox8aXc6f7hFVvdRKpZKzoBfA/jtKCH5WNkJCQnk5eVRUVFBWVmZn0FstVppamp6yx6lbxV2u/2cScD/RfzLB1O3201NTQ2zs7NUVlauaY32XsyFLsfK4Dw3N8epU6dYXFx8RzOrcma6cE7xep9YwUpN3m/szSAqSOTrz3QQHh3PqF1NqFZJWsS5mcopETp250YzaXZQkRJYsloeTAGuLUvAbHd5FW/kxeiR00MoBAjXwE27SylICOFg2xSn+udwS/DfVxUQHqTgjuf62BCn57WuaY50TrI3L9rvdrM7LxqHy8OJ3llO9M4yOGvlhookdmVHcWZwnl8f7eXmR7pomrD5g0u8aKZrxsG/7UzjEzvTkSS485l2YkM1fP+KfFltxnv7e6cXyY/To1HKhnK+rNe2wsvzi0/34PZ4qEozcKx7li3pBpSiQGyohsYJBxs3bmRj4hIR44+nBqmvr6e2tpbOzs6AvuFKfPbxloC/pxQFbimP5tEWeUH1KTYVxAf7s+2LCwLtwOYWnfTPWNfseU4vOBhZR4wBwGxz0TO1SGbY+kuFR5JoHDGvKSH4b9tTSA7X8r2DZ3G4PFQPzJMdE0xk8PoL7Z68aJIMGp7ucTI8b+fS4gT+1Cb39j3IBCuTY2l29J6XGnmquhudSqQ4Rs2ZIZNfsALgYNsUbo9E2/gCAnJZ+ILcKKr75TEtn7hG44iJbIPIG8sUq+47PujN+B0YrU7iQjXkxATzhpfBLlvE6ZhZdHJgS9I5s3eQSVcOt0TzqIn5RSefe6KVnx3poyRawbOfrOCjW5LZEB9CiFa5qrcaG6ImWq9+1w4yy03AtVrtKtu/5R6l3d3dTE5OYrVa31aANZlM/+siCv9o/MsHU6VSSVFR0TnLqe9XZmqz2WhqaqK3t5fi4mJyc3Pf0czq3KKTSbN9XfF6kMtrCWFawnXyOUqSxPDwMB3N9fznnmRmbRIPN5nomLJRnBi65njNSpR5g6jZHnhtVgbTTanhhHs1bzenh9Pc1ceh9ilEUeD8DfHo9Xr2FcTSPGLihaZx9BoFF+XH8JOL48mJ0nKyd5ZFh5tFh4eLCpbcTspTDLJTS8cUf6kbwRCk4qL8GIqTQvFI8P+O9FKepOfXl8ZwTa68yB0alojSq/n49jQ+XJmMKMArHVMc944KXVESjy92OVzyAmx3SZQkhKAUZYWklXPzVpeHz740R4hGyYjRzrTFSWVqGCabC4vDTe2gMYBZ+3KfjbLyckpLS4mNjcXpdPoXsOVzm4+eHuRUf2BJ8EOVCfzXK8NYvJdcq5TvU1VaOENeFvHKfpyvvFm6Rr/0zfqhzaNynzHTsP5S0TO1PrlJq1Jw58VZDMxa+f2JIeqHTKuUpVZCKQrcXBHPsFkurW/PivCfA8jBO8Zr21aeEkb1hETNmINNiUG0dfcxMm9DAhJDlOREaXm+eYKuSQtOt0RurJ7IYDUX5Ebh8hoRtIwtUJkaxvMtk8Tp5H75uMnO8LyV55on2ZMbhUfCTzxKDtdSN2jEbHNhsrmo92okx4edW0IUlvqmr3RMc9ND9Zzsm+NrF6Tx+XKdX/NYFASKE0JWeZsKgkBhQsgqm7Z3C0EQAmz/fGX3wsJCwsPDsVgsdHV1+RnEPl/dczGI/9WMweGDYArwpvOi73UwFUWRubk5zpw5Q1xcHOXl5QQHr93rfCuf1e9VPjoXk7d1zOwPtkajkdOnT7OwsEBVVRV7y7L4yJZUnm2bo3/OETBfei6MzFsRBTjSORWQCawMpqIo+AXkGxobeaFVtsdyuiW2e5WOLi2SheFf755hW2YkKoVIWJCKH+1L8Z+XQpSDsQ8qhcjO7CiOdE7zSvskV5TE0Tpm4j+f7QBkpZ+vbgnFbZri+sokBMBkc/PpnekEa5TotUq2ZUaiFAW+9tdWJkw2/3EkhGpwSxIX5sljEq3jZkBYV3PW5JB4zuuccsdT7WRHBzNhdqBWCBw9O8P2rAh8o6pWp4dX2qdQKBQYDIZVfcOwsDDahmb44aH+gL+hVgg8WTdG87jcrxMFkBDYkxvJX+rHiQ1RE6QSyV8xHlXvH3XSs+hw83L7FD98qZvbHm7gzudlk+w7n+/k44808ctX+zjdP+9nHTcOyzO9GefITOuHZB3ntYI1wNaMCPbmRXHf8UHsLg9VqW8uubm/INrrLKTgta6ZAAEMSZJdjRQCfGpHCgt2Nya7hyvKU5nXLG229m2IYEeyhvYJCz97oQGAXSkqZmdn2RCjJSZEzRN1Y6gUAv91WS6pEUG0zMrP7WtdM9x/fAhBgDsuyCBCp+LVrhm+80IXhztncEtwvHeW//dqH0ari8hgFUe63lxoPSxIRWpEEI+fkedpH7i5mGs3xqwiARUnhtA9aWFhxUa1OCGE/lnrOXV+3yuo1WoiIyNJT08PYBDr9XqMRmMAg7i/v5/Z2Vn/Ovl2HWP+L+CDYPoWIIrie8ZOm5qaorW1FbfbzZYtW/xMvHcKQRAYMMkLwHpl3gWbi/6ZRXJjdLS2ttLV1UV+fj55eXn+TPjzuzOIDlYhQcCg/7lwsneW/PgQJs0OXmhZmiX1KSn5YLU7GJmXA0CrNZTXR1zEh8lBaYu37BsfpqUgPgSLw83O7CUlJZ1K4J4PyT0ktwe/WpEPF+RFM2914vJAUngQtz5UR7BGwa6scM6OmzBbFomLiyMrJRGNt36baFgKiBcXxODySJjtLq78TTX3H+snK1qHR5KP//TAPNeVxuHyyD6ZXVOLhK3hquKDRiGPkjzsJRolGrQcPTuLUhQoX+ZhuZyUsxxqtRqlLoz/eHXWH0B8QdjhltAplq5rTLASjyShVogs2l2olSJlyWGrhBcahkxkRun4wUvd7PrFSe74azt/axz3frZIuE7FhtgQjFYXD54a5sCfm7j47tM8cHKIumEjWTHBBCnP0S8dNhEVrCZ5DXKTD1/dm4HkPSOfkMG5MLVgxyPJ8o73HpO1jX3FkmtL45m3ukiN1FGZKlcnBAG2ZYbzZP3Sc3h1ZSo379yAKEDLnCyGf3lBFDMzM7Q0N1MQ5mZk3saWZB3B2Pn63gxmbfLYzN9bJ3mmaYJrS+NJMGgpTQ7l5fYpnmoY5/YtSYQHKflrwzhP1I1x86ZELtoQzfGeWf/s8XpoGDYyPC9b/j1wcwkbk8LWZNRuTJKdcFb2R4u85fj3Q6f3zSAIgp89nJmZSWlpKZWVlWRmZqLVapmZmaG2tpaKigq+9a1vMTAwwIkTJ1hcfG9Vm/5Z8UEw5R/DOLNYLJw5c4bR0VEKCwvR6XSrerPvFENmDwlhWgw61Zq/bx+Xy1BK8xgRERF+o/Ll0KoUbM+QF7nTazjDrMSEyUbv9CL7CmPJidXz++MD/g2HLzOVJInR0VGePFyNzSX3a59unqJnyoJWpSA/PoSIZb2zOG/W5yuXCYKAJEmcnVxiL378Tw0BWbCPEBKqVfDDF7vIi9Xzg/MjKApZZNEFRnUUgiDwfPO4v/f48Kklab/dudEoRIFd2ZHMLTr58+lhuqcWGTc70ShF5q0u6ryZl28xd0sSIhCmXU32srtB8khcVypnuMPzNobnbfTNWLm+fIngNGq0MzS7epEx2Vzc9FA9xmUqQC6Plx27P5uZZXuJ8QUXm+NVHGybYnuSkqE5G/lRygBbtcG5RRpHTHROWnixbYpL8mN48JZijt+xlftvKsbqcHNpYQw/uXoDTxwo4/gdW/mfK/NIiQji50f6qO6bJ1ynPOdmsn7ISGnyucXt40K1ROvl+9v4Jt6lAEe9BB+tSmTG68DjkUCrFInw9jjP97LA3R4JSZIdkRqGTYgCFCWEkGQIIkqvpirNwILdTUKYhuTEeLKzsykvLycpQc5iU8LUjI2NoZnrpShCwmxzUT9sAiQ+ujmJmoF5TvbN45Hgi7vT+OLuDHZkRVDdP09siJrPnpfGnrwoHG7J30td7zp94tEWf5Vm3ptdejyeVWtBUYJcDm4cDrxWBfEhCKx2lnkneC8SBEEQ0Ol0xMXFkZ2dzebNmzlx4gSXXHIJwcHBPPzww5x//vlUVlauG1TtdjsHDhwgNTWVkJAQSktLOXjw4Jqvfeihh1AoFOj1ev+/11577V2fx3uBD4Lp+wyfelFTU5O/XBIcHPyelo0HzB7y1lE+MhqN/P1kCwBX7SonPj5+3UVvzuomSCnwWO3IKnWklfAJ2G/NiOTAtlTOTlp43avHKooiDoeD2tpa5ubmMAfJoyG3bk5m3upCrRAYml30Z6U+TC/IPZjj3gXJF5RfbptEpxZRKwT6Zxb50Utd/vd0T8nsY5PNzcYEPZ/MdRAdGsRHLt6MWinyRq8Rh8vNr17tJS82GJ1aQc3AnH8hiQhWU5UWTseEhbtvLEKrkpVzBJaYnD3TVr/ebUG8ngW7G4VCwGgLzEL8wRZZW/jCDVE4vaSgJ+vG2JklO5H4rv5/vnA24P0j8zZuerDOr+oDcmkb4MsXZPCLV/sBSApTIQoQo1fRuyCSaNCyu1DuyeYYBNrb2zlVXc1/P13DVb+rxSPB7pwIXvpsFd/dn0NFigGVQqRrwoLN5QkgDunUCi4piOH+m4r5r/05SMjG2Xc3OlbJ5gGMm2yMGu1+pul6sNhdTC44CNUq+dHLPasMsFfite55UkIVJHgrGH4pv8oEvzPM5UUxNAybsDhk0fqfHO7F5ZGZ2xfnL5GwfGSn7GW2g5Ik8Ub3LCpRYHhRIC8vj8rKSj60YalqkReh5C+v1fPxPzdh0MgVggmjTMSRJDm4X1saj06toCw5jAidKsC1Zjnaxxf49OMtxISouf+mIkQBagbkfvhamWmIVklmtC6gVwyg18g/fy/6pu/XjKlarSY8PJwdO3bw29/+lurqao4dO7ZuO83lcpGcnMzRo0cxGo3cddddXH/99fT396/5+i1btrCwsOD/t2vXrvf8HN4JPgimbwNvZyfny8qqq6vRarUBMoTvpQWbxe5iwiJRsMLs2+Fw0NLSQldXF0YxlOgQNfGG9fuykiTRMrZASYyKUK2Sbz/XEWAqvhIne+cI16nIjdVzaWEscaEa7j8+gNvtpqenh8XFRbKzsykoKKBm0EROTDB78qIRgGCNEpcHP7MXwGh10jJmJiUiiL+3jOPxSH4RiVc6ptidG83uvGi0SpE/nR7mcIc8c7jcEu66bJFtVRWkpaWh16rYmhHB6z3zHOmzMDRn5Yt7sjkvOxKHW+LF1kn/+y4uiKF/ZpHYEDWP3V4myyiuOF+nd5Fu9cr3Od2Br1CL8uLqC34n+4yc8LJCRQEeOTPK4JyNYm/5DqBu0OgP2M80jnPF72ron10KpBvigvF4QKcSeaN7lhmLk7LkECYXZG3h7Bg9I/M27rosh5ZxKzq1gj3lucSk5/HbTg1/brUS69UHviLRSndrAx0dHYyOjrKwsEC9z7N2HfKRT/jg9i1JNE97uPGBOjrGA2ccfQblZWuQj5bjzJAJt0fiI5uT6J+18sdzzNvOWBw0jixQHqemf1oen5KQs/OPVCXRPbWIVimSHqXjUMcUaoXA/sJomkeXjm15MG32ZsKWZf3Hk33z9M/aqEo3cKxnzq8HHBesIN2rrzzrUHBfi5ONSaH87tpsNsZpOdQ2yQtHT/Fi6ySiAKOzZpxOJwpR4PycSF4/OxtQOQHon1nkk482E6JRct+Hi0mPCiYvVu8XZVgrMwX5vjSNmFapZhUnhNI0anrXmeU/0jHmXHJ/wcHBfOc73/FPUuzfv5/09HTOnDnzvhzb+4UPginvjUH4cphMJmpqapibm6OyspKUlJSAvyEIQkBP8d2gY2IBiSXbNUmS/B6rkZGRVFRU0DllpTD+3IvduElmoeZGKvnaRdk0DBv5a8Pa5t6SJHGyb5aq9HBEUUClELltcwqn++d49KUTaDQadDodBoMBh8vDmcF5NmdE+Ikkc4tOlKLMxvXheM8sbo/E5cVxjBnt1A7OI4oizeNW5hadXJgfw8UFsdhcHlIigrjz2TZeaZvgeM8sOm8Lc0KMDjBl350bxajRzhNtFooTQzkvO5LPnZ8BwO9PDPjP5YLcSBQCvNQ2RXZsCA/cUkKhl6zls+1ajmivZnaaAAAgAElEQVS9atXPHB4vaWnZbV3w9s+UooDbI/FvjzT5nWWC1SIS8NnHm9nzy2rufL4Lu0teHFWiwFUlsbSPWxBFgfQoHcf75rx+r9E43BKJIQqO987x0c1JVKQYqBmYpyIljOM9s1x7fx0dExa+f1ku6dEhpEcGsXtrpX++0O12MzAwwJGmfiK0AguTQ0xNTQWUh0Hu70XoVHzh/HS+UanB5ZG45Q8N/goEyBsCnVpBzpv02av751ArBG7ZlMiu7Ah+d2zQL06wEr7nRClKAXZr5SmhnB6Qy61FifKG51D7NNszIwL6/LmxwbzRPcvPDvfy1b+1+31oG4ZNfuLOIzUjRASr+MS2FFweiVe8m7OpRQ+9Xg3eUZOdC3IjuffDxaQlxLB/YzJTVoknBrQolSIbE3S83jNPY1MTp0+fJivIgsXh5kjriH+zPL3g4JOPNgNw74eL/K2MqjQDTSNmrE73ukGtNDkUs929yjS9OFHuby+vYLwT/LOI3K/ExMQEXV1dFBQUrPn7+vp6oqKiyMnJ4a677npPq3zvBh8E07eItxJMfepF7e3t51Qvei97tO3embOcGB3z8/NUV1djtVqpqqoiPj4eq9ND77SFgoRzz3w1erOUjDCBK4rjKU0O46evdGNagzXYPyNbrm1JlzPLxcVFcpTTBCkFTptCSE1dEnyoH5rH7vKwOT2CvzWM+heT2FAtQeqlL/IbZ6cJC1Ly0a2p6NQKnmkcQxAEjg0soFWJ7MiK4rzsKLQqkcKEUMw2F//+hLxI/c/VhZQkhXKoYzLgOHflyNnJnE3iM7syEASBzGg94ToVraMmFmwOXC4XYVolVenhvNQ+hSRJ/Oq1flrGzOjUCpLCtagUAj+5agOx3nGMqQXnmjZ2YyY70cFLfWvVMuIQyP6mv/EahVsccpg41W9kYllQUSkEbq1K5G+NE5Qlh+L2SLSOLaBVitz34ULueV1+/7jZTVWagX8/P50Jk53+WStOt4fPPtFKUpiWv3ysjP3eMqivBLt8vjA/P5+BRSWVaREYDAa/fGV1dbVf3/XM4DwliSEIgkB6mMjjt5eREaXj80+2cdCb2Z8ZMrIxKXSVDu1KVPfNszEpFK1KwVf2ZOJ0e/jFq2uTsA53zhAfquZwf2Cw1amVPOM1C9idE0nTiInJBQd7N0RxsHXKv8HpnLDwnb+f5U81I7ziLbsmGbQ4PfB8yyRDc1Ze757lutJ4SpJCSYsM4vmWSTweD8/1OgN2Txvi9H43o105kbL05bCZz5yXxjVlycxYPajisqmoqGBfWSY6lcjBljHq6uo4fqqGjz1cy7TFwU8uzwiYQa1MNeDySDQMm9bNTH3Sj77RGx+KvZWElf3Ut4t/xmDqdDq56aabuO2228jLy1v1+507d9LS0sLk5CRPPfUUjz76KD/+8Y/fi0N+1/ggmL5FnCuYLs8G34560XuBtjEzQUroOdvF2bNnKSwsDJhX7Rg345Eg/00y08ZhI2qFQLJeQBQF/nNfLnOLTn61rIzqw0nvvF1VuoGenh4aGhrYkJXGTVUpHOqYDiDWnOqbQxQgLVLHid5Z9nnnRI1Wp9/o2OOR/CMxeo2SCzfE8GLrBHa3xInBRXZkRaJTK9CpFezMiuT42UlClLKIQrhOxZ78WPZuiKF11Mzo/NJuPTJYhVohoFbIXqc+XJwfg0eCR04PIwgCoihyUX4Mg7NWfvvGAPceG+C6snhuKE9g1Gu0LYgCh7+wlYQwDRqluCozBbkUOWVx4lO6c65RfFh0rF2R8MWiPblR/P7kMBdviKJvemkE5r6bivmP57pYsMsZT5Ba4MdXbUApCn4LvJN981xRHMvDt5WQHB5E99QipnXmP8dMdibNDspSDH7Xl40bN7Jp0yYyMzNZ9CgYMTqIFszU1NRgs9mwG6f45ZWZlCSG8LWnO3iyfozuqcUAlvJamLU46Jy0UJUmjzWlRATxkaoknmuepMG7ifPBYndxqn+Okngds7alLYtOJfL62RlO9S05zrzcPo1KIWB3eagfXtLdPT8nkr9/upITd2wlRKNAIcqygEUJIfylboxHakZQiALXl8n8gf2FMdQMGKnpn+PYqOyDemVxLALwSM1SdUajFFGKAhqlyE2ViezKiUSlEHi5fQpRFIkwhLIrJ5L6STfFpeU8NhBE37yLr22PJsg6FSCEkKy1oxAFqvvm1g1qKeFaInSqVdcoI0qHXqN4S0Suc+GfzRjc4/Fwyy23oFarufvuu9d8TUZGBunp6YiiSFFREd/61rd48skn34tDftf4IJjy7sq8PvUiXzb4dtSL3i0kSeJM/zRWF3zy4Cy/bVfQPu0M6KX4lI8K3zQzNZEfH4rgHQkpSAjlhvJE/nx6OIBNC3Cqb5bYEBWjnY0IgsDmzZuJjIzk1s0pKESBB08O+l97sneWwoRQjnROIUkQ6yWULNjdvOH1I20fNzO94PAHvCtK4liwu3myaYZZq5sL82P8BuEZqnmMdolZu3yODpeHBbubvRvkEaND7UvZ6QstEzjcEg63LHwvSRJut5tbN8ms2sfPjPrv1d68aBSCwD1H+9iUauDOS3K4tjQBtySTcg61TyMKAp/emYbd5eHfS1V8tDImwJYtLEjewLjfZitLKcqzk3GhGg62TXF1SRzTFgdzXlPr/YUxfP4vrf5+rUoU+P75kYTrVIyb7PzcO2bzlT3p3LU/B61X7aluUF6EVypUAX6G8krikI+dOWqXy+WXbcmnrKwMlUolG8ePD3Mg205uhILv/V0mUBXGnVus4LSXaFO1zMXmY9tSiAlR84MXe/ybKpBt7JxuieH5wKz0mtJ4REHA5e0hZ0TpONQxTVZ0sP84QJ7FHZqzkmTQcrJvntlFF26PPHN8XWk8PdOLPFk/zt4NUX6RhH0F8rPz9WdlYttlRTF8b38OJUmhzC46/YS4X73Wj9MjYXd5GJqzEqpVsjU9nJfbp/19zT15UcwtOrnz2Q5e657lq3szuW5b3iohBMlpIyNM5EirLOM5OzvLzMwMTudSJUgQBEqTQ/19aR8UokBxYug/fWb6doKpJEkcOHCAiYkJnnrqKb9X8pvBx/j/Z8AHwfQtYmUwtdlsfjWQd6Je9G77pvPz87xx4iRD8w7OT9VyYHMCbeNmbn7wDJ98pNGfobWMmonSq/0Lx1pwuj20jJrYuGJh/fzuTILVCv77xS7/A7totXK8e4q8cJGysjIyMjL8JarYUA2XF8fzVP0oJoeExe6iecREVVo4zzSOUZocRteEhVCtgshgNY/VyiMqR8/KpTifgENVegQxIRqeb5tBKUJVsp66ujomJiZITpV7npHBct/S6nTz88PdpEXqyI4J5hVvqdfjkbj3jX6/sPuhtgmv76uHlMhgovVqhudt9M/I2Z9CFFB5Zyl/em0+KoVMcKlICUPwHuPk7Dxx9iGidAqOzej4yiUF1H59B1pvPddodfEm1U4uyY8mI1Iu9/n2XC6PnNWOm+yEahU81zxB7eDSQvls8ySzi05/Nvzj/Wkkh6loH1/gww/UydlnUii3VgVaBJ4ZMhIXqvEzYpejYchEsFoRwHBdjrphIxqlSH5cCAqFAoVCQXJysixGv6WK+24pJ8LbrO7pG6C6upqmpib6+/tX2X+d6ptHr1FQsEyhS6dW8JU9GbRPLPBU/Zj/54c7ZwjXqWibXLLWA7hmYxxJ3nuZF6endczMuMlO+/gCHgkK4+We6Y6scLqnFnm9e5anG8f9bjDFiaFclB+NRilic3m4ddOSEUByeBCxIWqmLU4S9bKAgyAIfHpnqny9X+mlacTEo7WjXOHNWF/0iu5fuCGacZPdPw+6LSMCpSjwYvs0N5THc1PlkgUfBAoh7C5IZMAsoQ0JR6vVMjc3R3NzM6dPn6a1tZWhoSE2RGkYnrdxqm+Ol9uneKZpnL81jBOuU3F2arWow9vBP1OZ91Of+hTt7e0899xzfq/mtXDw4EEmJuRSf0dHB3fddRdXXHHFuz7e9wIfBFPeembqW4x7e3sDnGXeiXrR2zUI98HhcNDc3Ex3dzfa2AzcElQkBvGxzfEc+cJ2vrI3i+q+WS695yRPN47ROmaiMOHcM4CdEwvYXR5KVmirRgSr+cyuDI71zHKkc4r+/n6efq2WBYfEpRVZaz70B7alYnN6ODLopHZgHpdHIilcy9lJC1cUx3Gid4YtGZFcV5bA0a5pRuatvH52hsKEUKK8c4gKUWB/USwjRgc5BpGe9mbS0tIIT87mhy93YwhSMmNxsiMrgps2JfNIzTCtoyb2boihdmCe6QU7Rzqn6J6y8OmdqSTqBQ62jPt7U4IgcHmxXG5+uHoISZL49vOd2J1yic9nAg2yrrDF4cbq9PC3k+0UFxbw8R3pnBk0crp/Dq1KyWd2pvlffw4CNCBnhDuz5N7b8g21QoQYvRqTzY3T+yExehXpkUvXWKdWkBWtoyxJT82ojdsebkBCDsT7CwPFPyRJ4sygkfKUsDXvfd2wieLEkACz7OWoHzJRmBDi7xeuhEGvJSZUi0Yp8psmJ5HpBWRlZaHVapmamvKbgre3t3OiZ5qNCXrEFZ3mizZEU5kaxi+P9jO/6MTh8vBG9ywJYRr/dRSQy5rJ4UGMewU7TFYXP3ipG4CMyCCUooDFS/b6z4uzSQzTcM/rA7zWNUNCmIawICUp4Vp/mVZgaaYZ4PmWCSbM8ljWh/OD/EL1VWkG9BoFPdOLfO3pDqJD1Hz9wkzKUsJ4yRtMfaVe3/93TCzg9kioFAJf3Zu55rXzoSrNgEeCthkX4eHhZGVlUVZWRkVFBTEJSbzSa/FvDj/+SDN3/LWdO5/r4lsvdPFCyyQeCZrexYjM++ll+nYUkAYGBvjd735HQ0MDcXFx/vnRP//5zwwODqLX6xkclKtdhw8fpri4mODgYPbt28fVV1/NN7/5zfflHN4uPgimbxFKpdJf0gVWOcu8k897O8FUkiQGBgaoqakhOjqa8vJy+ublXWl2lBa3202QWsHHtqfx3Ge2UBAfwtf+2kr3pGXdGVQfGr0lv+LE1TvJmzYlkRqu5bvPNLNoc2DRyzv65bJ+y5EZHcwFedG8Muji9bNyT6tnehGVQiA/PoQxo50tGRFcXyHv2P9wapDGYWNATxMgK1zeMetV8rU2hEfw1b/K87L7vYEwPyGUfz8/g3Cdirv+3slF3l7oobZJfvt6P8nhQVyUH8P5WeE0jixw+Nhpampq6Orq4rxkmUz0XNMETzeO82LbJJ85L40glYIXWib8x1EeIxKkkEuxfY4w9Ho915UlEBOi5pev9iFJ0qp52ZVICF0ioU2YHTxUPbyKwOT2wJzVgQBLma7NRd+MFaUocGBzIlanm/OzwnmsboIfHZsjPTLIn/lUrbgfQ3M2phYca/YzjVYn3ZOWdZWIFh2ycULZGsL1PljsLromFriqJA6NQuQzT7RilZR++6+KigrKy8tBH8WY2UWW3kltbW2AeLrdbucbF2ayYHPxi1f7ONU/j8XhZnB2KSuVgIs3RHOybw6rl+3cPb1I+7iF+FA1E2YHe/OiGJyzEq5TEqnXcPuWZDljRZ4VLvZuJl87O4PF64P6RJ3cCz3ZN8edz8qSigoBzkwsfSdFQeBK77M2PG/jPy7KQq9RcvGGaHqmFzk7aSFUq2R7ZgQHW6fk8asn24gIVuF0S7SNrW2V5kNJYihBKpGGUas/QzRanfzq6ABXPtDKz45NYnTKG4DNaQYevCGHB65K4pd7DXyxVK7MHGnqY3JyEpvN9rbLnf8sZd7U1FQkScJmswXMj950002kpKSwsLBASoo8R/2Tn/yEiYkJLBYLvb29fO9733vLJeH3Gx8E07cAi8XC0NAQc3Nzq0qb7xRvx4nGF8TtdjtVVVXExcUhCAKtY2ZCtUoSQtUBgTk5PIgHbytjX0EsEnC8ewabc/3A3TBsJFqv9luO+eBwOOhsb+O6LJGJRYmaOS2nB+bJiNIRG7p+n+xj21KxOOHl9kk2JoVxsHWCHVmRfgm0bZkRJBqCOC8niqfqRvFIcF5OlP9vtrS0UNMlL3ZjVpkg9PvjA9QNGvnWpXlMmuS+0ui8jdAgFXfsyaJ+yEjXxALpUToeqx2hedTE7VuSUCsVXL0pEwkwhqSyceNGIiIiCFc6iQ6SM5rvPt9BQYyGG4oMXJAbyUttU5gtsjXVzOQ4V5fG4/bA4a5pHG4PWpWCT+5Io27IyEvtkxxdNioiIIvh33N9IWovE2nU5PD/7lzw3SKfUpPdJXFJQQwHP7uZ9JgQOYsZmefXpybZlh7KfTcW0DJqIi5ETbxefp48Hg8ej8fvmblWwKwfksk66wktNI+aZKNv7+/XWqQbR0y4JTg/J4K7ry9gxuLkS0+1BYgxiKJIy5T8jF+1NZ9NmzZRVFTkF0/v7Oxktq+Vi9I1PNUwziOnBtAqBcz2wGf1wg1RvNw+hUohBLCGS5PCsDjc5MXqcXuWzufy4lgUgjx+NDRn80vwPVw9TEKYhh2ZETx+ZoyWUTNffLINjUpBiEbBnpxwjg/bA+ZRNy0T5fepde3Ji0IU8DOaLyuKYdri4ON/bsLp9nD39QUoRYFD3nGb9eCTf2yYsOGRBB6uHmbfr2v4/YkhqtIMPHRLCS99torK1DBmF51UZMVRmZ/B+ZuKuX3fFnJidHTPS/5r6ROi7+vrW9V/XQvvZzD1eDzvW9b7z4oPginrl3ldLhednZ00NTURFxdHTExMwBzju8FbKfPa7Xaam5vp6emhuLiYnJycgAe0ddTMhviQNbNclUKkZJn/4cf+WL9uf6Vh2MjG5KVyoM9RxjeremDfZrZlRnD3az3U9M+9aSZWlmIgyyAyaXaQYNAyZXZwWXE8J3pnSTRoSQ6XS5cfqkxiwe5Gp5b7aSMjI/6/2TSnIMWgZcjk5sXWCX75ag8X5cewMyuSV7umyIzScaRzCrvTzdUbEyhICOEnh7q5ICeSjokFInUqriyR2Zq5scGkRATxUtskKpWKqKgoMjMzuXGT3BNzSfD18xOYnBgnR23EZHNx/8FTaDQasrKyuLkqBQmw2N2c8jKZd+VEotco+PJTbfzqtT6i9WpUCsHPLr3z+U4MXm9PrbdU+lbyBt9r4kM1HP78Fn56TQGJBi0vNI2hFOD4oIUDW5P5zc1lhOp11Aya2Jwe7n8u3G55brG6b47IYBUpBvWq3nzdkCx8X7QOKe3MoBEBKPVmppIkrfqO1A4YUQjy+EZBQgjf259D3ZCJ77/YHfC6U/1zxISo/eVqlUoVIJ6+adMmvnJJPpFBCk4OmlEKS1dJANIjNCSGaXi1awa1QsTlkTB4iV4n++XRnSPe8ZdN3nGTphEzbkkeP5KQM8DGERN1QyZu2ZTErVWJzC46+cSjzagUAosON5/YnsrVRVHY3fBSuxwEPZLEQ6eGEZCz1t95NYKj9Go2p4fL4zSSxI5MuU86YrTz46s2UJgQypb0cF7pmH7TbHFLRjijZje3P9HFj1/ppSghhCc/Xs7Prsn3l+jLU8I4O2lZJW5fmmygbdJKcmpagBB9cHDwmv1Xo9EYsE68X8H0n4UQ9I/GB8F0DSxXLwoKCpLLjAbD++ppuhwej4eBgQFqa2uJiYlZsy/rcHnonDBTmBC6bmBuGTURE6LhZ9cWUjdk5FOPNK7KUGctDgZnrZR4Z9rcbjenT5/GbDb7Z1VFUeRrF+Vgtsm9w83p5w6mAPlRciDpHF8gWKNgZ1YE1f1zbM2I8C/M2zIiEAXQKATq685gNBrZtGkTi8pQeqYXuWqjnGF874VO9Bol39mfx99bJnC6JW6uSmbB7ub17hkEAb5+YRYTZjsD3hJhaUqY3yhdEAQuzo+hum+eWcuSbZQg+jYPkJqYQEpKCsWxasK1Iq2WEDQaDWfPnmW0q5HiaPmznqgZ4AcHO9l3dzUWuxuPBJ/blcYXdmfgdEte9rDE3KLTv3lJNGgDeo86bxl3Le34aL2sQPXCZ6qID9Pi8Xh44lgbJ/uNSMBPr8nnjj1ZiN7KhMnmYltWJCqVCo1Gg0ajQaVScWbIREXK0j11Op04HPJc7ZlBI4Xxej/rdyXqhkzkxeoDDN9XonbQSH58CDovwWdfQQwf25rMUw3jPOklFLk9EtX982xOD193wyoIAlGGED60KQmPBAvL4oUEVMYq+OOhGsx2NxaHG4NWxOORUAiy+EfjiJlGb8Xjhy/3UPU/x/jyX9tQKwT/dS6M1/PQyWFCtUqu3hhHcWIIGqWI2ebCEKQkPlTDjRUJbIjRkhSq5Im6MSRJ4rHaUeqGTFxSEI1bgmM9c7R657ovL4plzGTnzKCRe48P4vJIqESBUu8Gdu8GWTDkXKVejyQxbpRZy5MLTn5+TT6//VAROStIYeUpYUjIm5zlKEsOxer00OlVpVouRO/rv1ZWVpKamopCoWB8fNzvo9vR0YHJZMLhcLxvwe8fNdXwz4IPgukK+NSL5ufnA9SL3i9P05WYm5ujuroah8PB5s2biY2NXfOhPDu5gNMtnTOYNo+YKEoM5dKiOH50VQE1A3N8/onmgFKcT6yhKF5Pe3s7NpuN3NxcNmzYEJAF58bq/WzMuND1jZ19sDjlL2jn5AJ782I4O2XBbHOxNXOpN9o8YsQjwZzVhScskfz8fFQqFS+1yT3Ly4piSQwRmbE4+ObFOUQEq3mqfpQNcXquL08kMljNM41jeDweSpNC2Zsn27EJwPwKHdmL82NwSxKvdMhZzITJzgMnBtGqZFrMg6+20traSm5ONteUJVE9uEBwVDwlJSVs3ryZD21OB+BIt5E/14xSFi3ws73h5EVr+fPpYazLNimGICUF8XqsTg8CXkWeO7ahUQioRIFFpwetSuTuG4sA/OVgkAUhrtoYj1alYGp2ni//6QTfOSJfj2/ty+GSZX6uJ7z6yFuW9UsFQWDE6GDC7KAqPQKNRoNarUalUqFUKrE63LSNL1CaFOIPsD5iHcjM7sZhU0B5eGVmuuhw0zxqXuWb+tnz0tiWEc4PXuqmacREx/gCRquLLelvbrm28n75cPN5+XQ7Df4SuVIEk93tHz9KDJGfUb1awXf2ZXPVxjjmrS4cbolFb7n8/hNDHO6c5oayeLQqkTuf68LhkrPW/lkbn9uVhkYpO0PtywqmdWyBl9un+fmRPrZnhvOVCzIQvffp3mMyEWZ3biTBagV3H+3nvuND7MyMwOmR/Fnt7hzZ2u+ldUq9MxYHn3i0mT/VjKASoSI5lD1eu7+VKE4IRaMUqRkIDKa+e1Q7ZFzrbYD8POj1ehISEsjNzaWiooLS0lK/EtbExMS7NgJfCafT+S9X4oUPgikgP3AOh4PW1lY6OjrIy8sjPz8/QL3ovQ6mKz/PbrcHGIVnZ2efswTT4p0fLUoIWTOYmr22a7750suK4/ju/jxe65rmu893+L8s9UNGRAEWRzoICQkhLCxsXUFqpUJAFOC3XhWfc6Ftxk1CqBpJgvgwDcd7ZhEEuawFMD09zSOvNSIAQSqRp9uWnGpebpukNDkMlwfGFuQFUSEKdIybaR0zc01pAgpR4NLCGF7rmmbOYkcQBK4vT8QtycLmdUNGppYpC+XGBpMWGcSLbXKf666DXbjcEtcWywvYi90LlJeXExYWxlUb43FLEs82TWCxu/j16/3c9dKSWs/3L8/l3gPbSU1KIEIrMrvo4r8OyrOOArBgd2F1uFGIAhLw99YpvvRkC+WpBr8NmdMtcdfBswSrFTjcUsAXcXt6GI8ebeba3zfwYr+T1IggQrVKrtwYH3CNT/bOsSFOH+C8A0uuP75gJ4oiCoUClUpF26Rs/7U5I9IfYH3zt06nk8aheWwuD6VJIeuObjUMyz3VytTAnqtCFPjRlXnEhGj40lNtftH3zWlrk9V8kCSJw50zq1SUkkJVJIZpebltyl/+NjskvyhGTnQQo2Z5HGlDOCQ7h1Da5Az+51dkoPFWAx70ugTtK4jhd28Mcqhjms+el4rCK8Cwr0AmEno8HnZnBKPXKPivF8+iVop899IcokI07MqJRBQEjnTNcHbSQpBKQUVKGHVDJsqTQ/n5tRtIiwziKa8FXFiQiqo0WVhiZWBqHjFxw+/rqB8y8Z192WyOV1I/Yg6Yt10OtVJkY1Kof17Xh5gQDSnh2lUZ65vBp4Sl1WrJyclZ1cs+e/bs2+6/LofZbF7lSvWvgA+CKfKXuaGhgYiICCorK9dkob1fmanH46G/v5/a2lpiY2MpKyt7S6M2raNmwoKUJIUHrRlM/cF2GUP3hookPrkzjb/UjXLfsQEsFguvtw2TblCyffMmkpKSVnmR+mB1uGkdM1OWbOBwxxSn+ta3mho32hhbkHuhPvPwY93TFMSHolNINDY2MjQ0RLdFw8bkMK7amMDzzRPekvMi7eMLXLghmh++3IMoyPOrf6kb5an6UVQKgUuL4nC73ewvjMHplni5YxpBEDjYOolCgNlFBx4Jf+CEpVLv6f45/tYwxpHOaa7boGOTQS4Lj5ldtHhLculROkoSQ3jo5CAX332Ke472sz0zgk/tkHusf2+d4seHerj+D23UjFpJiQhCIcCFeZGIgjw3elueyD3nq9meJAe64z1znOidw6eBflVJHDanB4e3SpAXv8S4/sJfWrjr6DTBQVp+f3MJ81andwRj6etqsbuoHzKybY3+dXW/rOObEbV6U1QzMI9CEChLMfgDrC97VavV1HtHLTYm6gPKw8ASuWlgHoWwNoEpLEjFz67ewNyik8frxsiNDSZKf+5KRtv4AmMmO64VwWRvdgj/80oPXhIvEToVWqVIbKiGIJXIl/fIxDKPBOcVplBWXs5rwy4KY7SIi3PYXR62xMsbUgm4+Q/1/PqNAS4vjsUjSbi9AgzHvYYEHo8HnVpBZpSOeauLz52X6p/Pvr4sHpvLg0Ypct/xQQZmrf4gdlF+NGqlgmtL49p1dOwAACAASURBVGkcMdE1afH/fGTeFlDqfaZpnNv+2IhSFPjjbRu5pjSewigFJpublrH1x1w2pRromrQEtClAzk7PDBpXieG/FSwfjVneyy4uLl63/9rS0sLg4CDz8/Prcj7+FY3B4YNgCsgL7aZNm85pT/Z+ZKYmk4nq6mqcTuc5S7proXnUREG8TPlfK5j6nDJWKh99YXcmlxbG8NNXunnw0Bn6jB62ZMf5s/D1SsZnBudxuiUObEsh0aDlv1/sWncnfdIbaAdmbWxOj6BzwkLjkInCaCW1tbXEx8eTmJVP27iFXTlR3FyVjMPl4fHaEb+bS7BGydGzM1yZpebGikRO9s7y1/pRdudGEaKWVU/y40PIjNbxXNME4yYbzzaNc0VJHEFedubzzRMBx+WTEfzBi10k6wVu3pTIBVvLqUyVy4g+8YCjZ2cYMdqZsTiJ1mt47EA5v7iukE/sSEOlkOX7/lA9zFUb43n5c1t47EA5Bp2atnELbkmW/xsVoti+dQuf35sLQF5kYNnrUPsEN5bF+rOnromlBdfigjsvyebpT20CZDGIPXmBY1jV/fIM77bMwGAqSRKn+uap8vYpHS4PZycXONI5zdONYxxsnSQxXEv7+ILfTxPk7FUUReqGzGTHBBMfEYJarcZut9Pa2kpMTMwSual/jvw4PRoFa2688uND+PKeDEw2l//8zgVf6X0lBAQePyPfE5VCoCQxFKPNzYTJzlUlcQGentMWJ6cHjIwYHdyyNY1FnTx3Gx4uZ8VKYUnKcWp6hvuODbI9TU9CmIa7jw7gkSQ8Hg+dM06/vdmkeSlwbckIJ9GgJVyn5KX2KQ78qRGlQiDJoOX5ZvmZvaIoFpVC8PeMfaXeg21TuD0SPzvcy53PdVGWHMZjt5f5zSk2RMgVn2Pd629QfepRp1eUeitTDZhsLromLG96nVfiXASk9fqv6enpqFQqJiYmqK+vp6amJsCJyOVyvSMpwf8L+CCYevFmQcznrflewG63MzQ0xMzMDCUlJW9a0l31fqebrokFiryC12sHUyMpEUGE6wKzgqmpKS6PNZETpeH+Fpdc0lsmN7deMD3ZO4tKIbA5I5I79mTRPr7A39ZxlTnZO4tWKeD0SHzmvHQidSo8QH6EQFVVFTExMbzuVT06LzuKzOhgtmdF8qfTQ/y9dZzC+BB++3o/OTF69qQouHpjvLd86ubqkji/nq4oilxRHEfdkJFfvdqHJMGndqZz+9YUzHa5rzewTCc4OVSBXiVgcXj4wdVFJCfK0o9XlsQhAc81T/DxPzXwqUeb0KkUqJUi2TE6ihNDkSSJJ+pGcXmbdbdVJfHd/bnEhmowBKn49qU5DM/bZJ/REA1HuuRsOT8pkvhQDTN2EZVC8DNRjTYP97wx5NfaXeHahcPlQa0QOdQxRZBKXBU0j/fMEqRSULpi9KV7apEZiwO7080tD9Wx6UdvcMVva/js481885kOBuesDM5aufUP9Wz98TEuvaeanxzqpm3MjNPt4cygkcpUAx6Ph76+Pjo7OykoKCAtLQ2tVotTEmkdW2BTmiGgPOx0OnG5XP5qS4LX4L1pxBzgMrMSkiTxcvtSXzFimcH9A2fk9xXF63G6JUx2J2qFgEeCD1Uk8FzzJHGhagTgsdoRHjw5TIROxZ7cKJpGzASpRA53zrAzKxyXJPdbry+N4+SoC6cH9mWo2Z8K7RML3P9yPQNjU/zojUkSDFp2ZUfw2JlRzF5rNlEQuLY0jnGTA0mS3WDuuaGQmyoTaRo10z6+QIhWSVa0jmebxll0uAkLUrE9M5yDbZN8/i+tPHhqmBvK4vnNjYUYlp2nXiVvFF4/RzAtiA9Br1H4tYl98JXyq1eUgN8K1hPYXw+CIBAcHEx8fLy//7rciai3t5etW7fyiU98gvb2dp544gn6+vr+Zdi9HwRTL94smL4XzLTlJd2oqChiYmLW7U+eC+3jC7g80jmDadOIiaKEpd2h1Wqlrq6OsbExNm+q4N5bK/1ydsvZg+ttGk72zbIxKQydWsG+wlg2JoXxi8M9q8ZtJEniZO8cQUqBGL2S6rYef0b/i2oTe395iqt/V83dr/YSolUS6mWMHtiawvSCg/axBUKCVIwabXx7fy5KUSBar8agkw2xN61ghu4vkuXdnmue4NKiGBINWm7dnOQPWi80T/iNCJ55o95PjIoJW7ruO7IiEJEH/GsH5/nq3kye/fQmrt4Yx0tt08wsOLjrYBc/ePGsn0yzcoZwT140+4ti8Uhgc7o5O2lhYHYRQRCID9MwteDgC7sz+Ni21ID3XZsXRFqofD7aZfTe+9/oZXhkhEPtU+zIiiRoGfNWkiSO9cxQlWZA7S39Olwenmkc59OPNXmPbxqb08OHKhP58dX5PHagnB9eIbtwfPvSHH734WK+sDuDRIOWh6uHufa+Wq69twar001htJra2lpEUaSiogK9fqkEXTcsj51szYwMIDcpFAq/RKbbLesua5Ui2dE6vvFsJ4OzgTZiPvRMLwZYiSUZVo+e+URHWkfNIMDOrAjmFp0MzFrRKhXkxgajEEVO9c9zeXEsaqVI04gJQ5AKu1ti0eFBFGTjgTDvuJJCFPjF6QV2V+STGxvMk10O7jljZs7q4aO5EruiFjHb3fz+aJefkLMvX/bj9alORQSruLw4Fq1S5P7jg3zkj420j1uwODw863W32ZIezqTZwevds3zjwkzuvCQ7oFy//BlsG18I6PMvh1IUqEgxcKp/PiA4xYVqSI0I4nT/2w+m8O7XteVORMXFxZw+fZovfelLZGVlcfbsWb74xS9SWlqK1Wpd9V673c6BAwdITU0lJCSE0tJSDh48uO7f+vnPf05cXBxhYWHcfvvtqywD/7fxQTD9B2F2dpbq6mpcLpdfGP6dGoQ3j3gZuAlrB9NJs51xk53ixFC//GF9fT2pqamUlJSg1WqJD9P6x2F+c3Rp97hWYJ5fdNI2Zmaztz8nCALfvCSHqQUH973RH/Da3ulFJs125mwephdc/LJ6HrNTQhTALUlUphkwBMkC7Wabi92/OM5H/lCHw+UhymtfVjswx/6iWEqT5OM/fKqeuUWnrG7UHhjE4kK1JIVrcXkkPrpFVkkJViv51E6ZffvEmRFOnz6N1WbnqQGVfzF9wVsCPnp2hg89UOf3zcyJ0fORLSmoFSI3lificHs48KcGHqsd5cDWFO69eSPZMcGMGu2cWZENfPvSHMJ1Kua9AvVHOqfpnrL4dVuLE0PZnSsTnrRKgXANPNlhRVLIAcTmkvxi+bM2iefbZEPwNOU8dXV19PT0MD09TfeEmaE5GzuyIll0uHngxCB7f3mSbzzTzpzFiSFIyeHPb+EvH6/gaxdmcWlhLMWJ8riRUhS4rCiOHVmR/Nv2VO69qYTX79jGNy7KZsIrLnH/8X7EyFS/O8dyVPfNoVIsjYAsJzep1Wq0Wi1qtZrqfiOVqWH87Oo8JEniS0+1YV604XQ6A9jDh5aVeBUC/tEmUVhy0jk7tUhksAqbS8LhkrilKpG/NowTpBIZN9spTwljU5p8PNMLDmxONx0TFqYWHGRG6agdNPK1vZkUxofw+5NDJIRpePjWEkRR4KN/bOTCvGjGTA7qJ1x8oiqa6/dUccXOMjYl63myeZaW9i6On6zmK0/UI3mPUyEK3H98CIUAyeFaXu6Ypnd6ke9flkNRvJ4/nh6madjEfcdl9u/2zHA+vEKndzl2ZsnfrXNlp9sywhmZt63yMa1KM1A7aAxg6f9vQpIkSkpK+I//+A+efvppGhoa1pQedblcJCcnc/ToUYxGI3fddRfXX389/f3/n733Do+rvLb/P2eqZjSjGfXei9WbZVvuGFNNx3TTTQktBFJJIZBLckkICRBaCL2DbboBA8bGxrZkq9pqVu+9zEiaomnn+8cZjSRbJqbdX+7vsp7HDxIezzlzzpl3v3vvtddqP+q127Zt4/7772f79u20t7fT2trK73//+/+BT3P8+CGYfk183ZLFtCB+e3s7eXl5pKSkIJfLv7ac4Gwc6h0nVK8i3KsvemQAPOgNtnF6KCkpQRRFXwCfjc5RGymh/nxYO8jrZT3A/Jnp/vYxRJE5Yg15MQbOyo3g2X2ddI3N7Dp31Pf7fl6eoOOxS3LxiLAuKxyzzcXJGWFsXB6PCPz+jHR+vCaJtmELN75azfisktqdJybh8XhYsmQJ1eNSFhmqlfHUjsM+ScCBgQFGxi0MT0pBYLbZ9AX54ehVMgYnnbiMsVSYtdT2TfLr01JZFG/knep+frqllpteO4haIePnJyV7r+2ET/w+IVhLgJ+CxkELvzg5mZ+elIxMENi4TAraf9o241YCUhD/7empgJRJfFQ7yM+21OKvlgJkSdsYEf4yonUy/OQgCnLWpAXTMev6mW0zmf4bteOoFTKuX1dMZmYmer2esbEx3tgtySrWtHax9qE9/PWzFpJDtDxxaS6CAKdmhhFpODrDK20bIzc6wDcbOg2jRsk5GQFE+3sI1soxORVc/Wodf9/eguOI+nNJ+xj5MYZjzqiCZO/WPmpjRUowyeEG/nJeJocHrdz/WbvP5WO6PDxburEwRo/Z+wx4RGlx0qnlVHePI3ivaWqolqwIHdvqh1iWGIjd6WFBuI7yznESgiRf0id2d+D2iLg8Ii3DVs7ODefSoiiyo3R4RNCpFaRH6Hjl6nzigzQ8tqsdkIL30jgpC1YoFNx8QjLmKQ+V1kCeb9NyaMjF1YUhuEWI0Qm8VdXPyY/spcmr5XxxYSRn50ZwZXEsnWN2rnqpGrVCxqqUIKp7Jo4Z7ERRJC3MnyiDmp1fURJfniz1f79oGqF/fIquMRuDE1Msijdgdbi/lU7vd4njJSD5+/tzzz33kJCQgEwm48wzzyQxMZHy8vKjXvvCCy+wceNGsrKyCAwM5He/+x3PP//893D23xw/BFMvjqfccSym63yY7jmVl5cTGRlJYWHhnJLu15ETPBLTJdzpcz4ymFZ0jCEXQGsfJj8/n+Tk5KMyjIHxKXpMdtYXRLEqNZg/fdxIQ//EvJnpvtZRtCq5z5R4Gj87KQW5AH/Z1uj7vJ8d6kQhg6gABfeeEsuIl31446pEEoK1PPJ5C583DKFWyDgvP5JbTkji09uXc8faZJ+JtkImoFdLgvQe4P3aEVamBLFxRRLNJg/qiBSCgoKYnJzksY8PYnN60CoEXtrTgtlsZmhoiOrKcq4slDYPT5X089DnrRQnBrIuK5S4IA2dYzY+rR/i1tUJvHXjIq4sjiXMa/69pbIPp9vDHZtrfQE+MXjm3p2cEYpSLlDfP8m+1rmZxCkZYWiVklJPTe8EjYMW7j8ng5woPTvq+6mqqmJNWjDjDhGT3U3oEUzX2QbSA+MOliYF4q9W+MggicnJ7B+WI5cJvH3YRlKQivtWG7khbYru1iYsDjeZQTLs9rnZy7jdSW3fBEsS5s58ejwempubOVTXQOu4yBk5kXx0azHn5Ufyrz2dXPxMmW9zMWZ10NA/OWeudT7s9mZXK70uQKvTQrh5VQLvHRpkc/WQrzzcO+GiY3TmPNtnZVz54WpcIly/PBYRiWDk8ohcsTiGTxqGsTk9xHiVtIYmHIzbXdy9LpXlSYE8t08ahVEIkB7uz+9OS6FhwMLmyn7yovU0Dlr42+dthOnV3H5Com/sRibAo/sGfRvmhXEGFscbeHxXO/vbTfzx7AXcctICkkM0tJulOVWlQsHDZ0aTE6bkzfIu9u4/wJd10uiYWiHw0lV5XLIwinG7i11Nx846BUHghNRg9rWZsDpmvn+iKNLQP8m/9nTy39takAuSi83J/yhl3eMHWPtIKb94uwGQdIaPF99nH/ObGoMPDAzQ2NhIVlbWUX9XW1tLXl6e7/e8vDxpMz1y7M3H/zR+CKZfA8fL6B0ZGaGkpAS3201xcTFhYWFHveabusaYbU7ahq2+Ei3MZJPTYvh7G3pIDtFQvGjhMXuylV1e7dZ4I38+LwuDRsFPNh3C4T6aobm3dZTFCYFH9XoiDH7cuDKRT+qHeHbrXqYcTg6bRFweOClFIu182TxCpEFNapg/t61JonHQwtaaAZYmBaHxZkhKuYDo9VFVeh1Azn2qnNZhK7ubRhmYmOLCwijOzY9Ao5SxqWqAkJAQouIS+KTTzbKkQM7ODaOky8Le8oPU1NQgCAJrYhVoldKwu9Xh4rYTErl9Uy1bKvsQkEYXbl6diEouQy4TWF8g+Zxuqezjrnfr2dE4zF2nphARoOb5ki7f59Yo5Zy4QNJnvX9bE65Z10suE1iREoza2//Uq+UkBypI0k7RMGQnLTufMwvifK4oW2sGWZJgJMpbZZB5r4Hv/bz/9Ygi2+oGOevx/TQPWQnUKnnuinxeua6Y81cXUFxczLBCOqc0A9TV1bFv3z5fVWRHbQ+eI6oLZrOZAwcOSD3P8BSmXCLFiYHo/RT811npPHFJDv3jU1z4rzI+axjykV+mZ4WPhd3NI8QY/eZsDG5encCatGDu39YsGcbLZHNKvH4KgSGv/FGgRobD6SBcp8RfOfPMKWQCaxcE8VbVAInBGkatDoL9lXxYO0BGuI6iOAN/W5+J0juIqpDL+Nv6TGSCwK/fayBQq/SShqJ4eX8P/9jZzi/ebSDO6MfqlCBcHijtsvDuQam60jpspX3UhluE4kQjrcNWTv5HKS3DNkQgJVSL2eYiNS6KW9cuwDwF91fAu4etZISosDg8bP2yEv+JTgL9ZGwq7zpqXnM2CWjtghBpVKd1lD6znSd2dXD64we48JkKHtnZTt+4XRrDkgncdUoy952Vxu9OT+H65XGE61W+EZ/jwfepy/tNRmOcTicbNmzgqquuIj09/ai/n5ycnBOgp3+emPjPyMbhh2Dqw/Fmpl8VTO12O1VVVXR0dJCfn+8r6c6Hbzpqc9A78jI7mAqCII0slJZitdnpnBQoSgg+1lsAkliDSiEjI0JPkL+KB87Ppn3EypMHRuYE+V6v5+d8erxOp5PiQAuhWoHNbQITfiG+8YMTk404XW72tY2xIjkYQRBYlxVOcoiWMauTFV52qugdSZguM//hrAXo1QoGxqe46OlyntjVTqhOxerUYAL8lJyVG8EHhwYYsTh4s7yXUauTm1YlsDZBg8sDTa5g1qxZQ2FhIeFhoSyKlsqdwX7wo1cq2dU0wq0rojg9M5TdzaNz5BXPz48AwGRz8mHNILevSeSKJbFsWBxDabuJ+v6ZL+402ahpyMqm8hk/TpAW2SmXiEImMDnlZsNzlaTHSa+v6J4gO0pPmF6FRinD4nBz7bI4nxpS26iNM3JmNl97WkfZVjfI+qfKuGNzre98/3JexlFOMXvbTORGB5CXmUphYSHFxcWkpKSgUqnY2dCPnxwcfYepr6+nsrKShoYGsrKyiI+Pp7RNmj8tmqVqtDothC03LCIpRMuP36zhub1d6NVysr7CaN7h8lDSZmJlSvCc75RMEPjzeZnEB2u4Y3MN7SNWNlXMsMHtrplMaX2aH4fHRM7MjaCmz+Lrnbo8Ij99q57qnnHOzg7lYM840QY/WoZtXL44GkEQGBi3+yocUy4Pu5pHefSLdpqHrNxzRhoGjZKfrk2iMDaAp/Z0gijy1IZcHr4wixMTpOB/z4dN/HN3Oxc/U45lyo3BT8G+NhPP7uuiINbAc1fksigugJFJBwq5jMd3dUgShzKB9hEb95yRyksbFxOmV/H5oIaM9AWcnGakpGOCPWUH5+jlmkwm33UqjDOgVyv4y6etnP7Yfp7Y3UGM0Y8/nJHGjtuLefuGIu46NQW3RyTS4Mc5uRFcVBjFbSckcEFBJLV9E75K0L/D9xlMJycnv1Yw9Xg8XHHFFahUKh599NF5X6PT6Rgfn/H4nf75P0kc4odg+jVwrAA4XeKsqKggOjr6qJLufJDJZN+o1FLdbUYQZshHTqeT2tpa7HY72dnZKIKisTjcR3mTHonyThN50QE+zdilSUHcuCKBjxvH+bx5hlgzPTO6bFYwndYu3r9/P+EhQdx7dg5tIzae+KIdkKQH44P8qBuwMmF3+Uy/ZTKBglhpsR61SjJ2LpeLmh4z/eMOoo1+nJ0bwY0r43F5RML0Kmr6JkgO0frUca5cEsOUy8NLpV08s7eTRXEBMNRCsGKKgpgAth6WBtiVSiU6g5GmMel+DdogyuDHk+fFc0KEmyztOON2Fy/vOEh/fz82m40og5/PTDzKoOaGFRLz9sLCSLQqOS/Myk5XJAehU8sJ0al4ZGcrY1ZpEZuccvmYnIkBAoIAHrmCv+7oQiET+PzwMDJB4MQFIdi8cneZETrSI/TEe49dPUsezu4SuWNzLTanm/vPzWBpUhB6tYKFcXPLtWNWBzW9E75NCsyMMkRFRVE/BsVJwSxITfGVxtRqNYcOHaKyspLP6/vIjNCgls19JqMMfrx4dQHrskKp6ZtA9xV6vQBlnSZsTvec85iGTq3gsUtyEBC47uUqes0zPW69SnoOQ7RyQsIjcYtwdm4k+zskyUm5IMkVlrRLIvzLkoPoGLUzYnEQrldxUpoRh8PBHZvrACiI0bM6NZj7P2nhuZJuzsoO85F8qrrHOTwwiUouVUE+rR9GJsBNC/UUx0kONI/u6sTuErE43Pir5ShkAovjDTx8QSZFcUZuWZ3ImM1FVoSOD2oGuemNWkL8lYiAWiFDrZBx3bI4KrvHqeq3c1lxIm4ROmThFBUVER8fj0wm881nvvFZKdc+V8rElIv+8SkuXRTNx7cu5ukNuZyXH+ETviiKM+CvkrOzcW55c2VKkOQQdZzZ6X+K/ZooimzcuJGBgQG2bNlyTDu1rKwsqqurfb9XV1cTHh5+FA/k/0v8EEy/BuYLptMl3WmyzLfxOD0eVHeb8VfJebuql0NNHezfv5/AwEC0Wi06nY4q70I8O3M9ElaHm7q+CQqPWJBvXZNERpiGh/cM0WuS+ld7W0YI0alI9Y7PWCwWysvLGR0dZfHixURFRbE2I4w1C0LY2yIF3nPyJHH8A91SVjE7q20ZtuCvkvNyaTejk3YEQeCvn7UC8OtTUxEEgYuLojBqlLi8hI2SdhN//qQZjyiSFOLPmrQQXirtZnjSwYnhUyQnJ5Oens6GxTF0jdl9w+//9WEjveaZnfrp2REszUokMzOTq05fSpRBza5uF1arlYaGBh5+Z4+PKdlnnqJnTOoVBvgpWV8QyYc1g/SYJLKQWiHn5IxQrA43k3YXf/pYOr9fvl1Hr9mOQQX+Wg0eEW5alcDZeRG4PCLvVvdzz9bDWGfZjO1pHcPudPs2HW2jc/udAWo5W29ewpk54exuHmFFStBRJfd9rWOIcNQ8KkCPSZotTdG7aG9vp7CwkIKCAvLz8ykuLiYiPpnmEQdZQXKqqqooKSmhtraW7u5uJiYmUMll3LI60Xddbn+zZo4W8WzsapLcXY7MmqcRH6Tl0Yuz6R+fO9bg9t7r+87JZGvNIOkROgK10ogUSKNH1yyLkzR0gZ+/LXmQ9pinWLsghJKOCf70aRstI9L9uWVFLD9ZHYtKLpmB72wa4aEdbfxjZzvXv3KQML2aNzcWsDjeyF+3t7Lm4RI2vD1ISeeMeIafQsbTG3L4+JbF3L5GCuSfe4NYXkwAySFaKrqlDCna6Mf7Ny0iPdyfx3d14HR7WJ8fQUSAmr9/3uZV1QqQWgxevdzo6GgwRPFcs4r7SqdoNbk5JVn6ngXYBxhsa6C1tZXh4WGfCpVSLhGadjSNzBFNyYjQEapTfSWBae71/n6D6fH2TG+66Sbq6+t5//3352X8TuPKK6/kmWeeoa6ujrGxMe677z6uvvrq7+iMvxv8EEy9OJ4y7+xgOl3S7ezspKCggOTk5O/t4ZyGKIpUdZkRRbjvo0YuebWJzT16JuUzZKTKLjNGrZKE4GNnxgd7zLg94lHZjVIu4/enxOERRX7+Vg1Ot4e9raMsTQpCFEWam5s5ePAgycnJZGdnz9lF3rk22UfkOD0rHJlMRlm31NudHkcZmrBT1WXmrJxwJqdcPLarg6HJKQ50mAjUKlnjHRvxVym4dlksPeYp8qL1XL44hhdLu/nd+w24PSLnZBiwOT1E6RVccark6ANwUkYowf4qXjvQzf3bmnzjE39fnwnA03s7fexUmSBwfn4kZd2TqIMi8QQn8lydi/woHUEaOSLw6EcV7N+/n4aGBs5IUiMI8NSXM7rEZ2SHY3W4OSUjlK01A9z2WiU7Gke4YVEwp2ZH0jhkkwJ20yh/PDuDG1ZIVm7vVvfz3ix1pl+/W0/hf+/ilQM9896v8Sk3LUMWDnaPM2KRpAWPxO7mUQwaBdlRR2cE2w5KhJziBMNRVRNBEKjutyMCZy9OZdGiRSxeLElLTs9Fl5aW8vpOaX71mqJQdjaOcMMr1fNa+u1qHmFxgvEoxvBsFMYZ54j7p4eosbql3nlckJZDvROclRNOeedMheRHqxL4qHaQKZeH205IoNs0w4B+tayX2zfXsaVKuqYyAVIiAvjle5K+7mMXZZAe7s8ze7uk0q4AIxYn6/9VQYl3PnPE4sThgVijmmc35HBaRgh2l4efv93A4MQUGxZFkxbmz30fNfHcvi7OfvIALcPSZmtBmD89Jjs1vRPcujqBrjE77x4cQKWQ8ZM1idT3T/Ju9QDrCyJoG7FR3mWmf9zO794/zIaXaqgbdnHr6ng+ua2YP19USJC/kmankYyMDHQ6HSaTiZqaGl95uCBUYMzqpKxjJguVeQlMX7aMMnWkAsg8+E/ITDs6OvjnP/9JVVUVERER6HQ6dDodr7zyCp2dneh0Ojo7pdGi0047jV/84hesWbOG+Ph44uPjuffee7+X8/+m+L8n7f8toFAocDgctLa20t/fT2pq6veeic5G84BkuXVtjprTFmbyQYOJLZW9fFw3yIpoBWk5diq7TOTHGL5yc1DeYUIQ8Jk/z0ZsoIYfLQrk0gahSAAAIABJREFU7/tG+dNHhxm1OMkLV1FSUkJkZCRLliyZVzWlxzSTTdX1jRPv76Zp1MHt+TG+cvb2hkFE4KKFUchkAq+X9dA2YkVEKt/ORrBXvH3C7uZXpySj91PwxK52RsfMhKmlRdyFDA8zO0KVXMaZ2WG8UNoNzaMoZQJv3bCI+GAteSVdVPdM8HpZD1cWxwJwXn4kj+9q519fdvBJ/TDRRj8e35DPm+W9PPR5K3v6Be65sADr5ARms5nVMUrequxjZZCV5MhA0gwGQvxVTLk8hGhl7Gg2c1pGMLedmsNnDcO8WdHHqugAPmsYZsTi4Ny8SJ76spOLF0byYmkPkQFqBiamUMjgRysTSQjRcv+2RgYnJKUfp1tEJgO3B37zXj1LEgJRyARWp84Npm6PyK7mEVamBCOfRV5yu900NzezvW6QaIOapVlJ8z4Xe1pG0asVZHtNtGUyGQaDYU528dwrVUQbPJyX5oe/W8MTVWYu+ec+7j8thtjwIPR6PV0mO+0jNi5bFHPUMWbjcN/4nB5p25iUpS5LCuL9g/0ISBuVP2yVss/kUC0LwnXc/X4DIToVr5f1MCspI1wv3QOTzUWwv5IwvZpfvN1A06CF4sRA7vmoZY40oEeU+qn+ajkBasnhJzVMyyc1vTSOTnHzG7UUJxpJCNLQPmrj9McPcEp6CCq5wLDFyd8+byMzwp+H1meyu2WUd6r7CdWpeODTVl69Jp+86AAe/aKdUzNCWZcVymtlvTy0s40t1xWiU8u5d2sTvWZpA3NxfignR4ssypsR8zgtI5TNlX1MrUsjLCzMR2AURckI3E9nQiUf5JVd9chH1Oj1egICAlgWr2NTZR8lbWNHPSNH4j8hM42Pj//KVtfk5Fz7ujvvvJM777zzW5/f94UfMtOvAbvdTktLi29u89sG0mnFmH8HURTp7+/nrV2VAJy/Mp+8xHB+c/oCtv9kOVcsiWVPj4szHi+hddhK/leUeEHql6aG6XwZ42zI5XJWxqo5Myec17yZUqQwTkFBwbxD/NP4wMuADNOpuGdrA7tapfLXqpRgPB4PLpeLzw9LAWtBuI5bT0jEX6WgpM2EAFx6xED75opegrRKWkesfN44wsWZ/pyXrOCLDhvvtLhID/dncMLB1kMzYvZlHSY+mDW3eN/Z6cR7M/Qbvf3Px75o940eRBr8WJEcxOZKyb/yiUtzMWqUXFAQiVwmZSt72kwEBQWRmJjIr85diCAI7BpS4+fnx/DQIPlBLnY2DTNqlezWOsds/HN3O2+WS9fu47ohXB6RlQ/u4ZJnylErZGyq6EOvlvPzU5LxiOBwQ3FiIKdlhpEVGeA7N5ACKUBt3yTb6oZYkmAkwG/ufTvUM86Y1ckJsxbQsbExianrp6FhzMPK1OB5A6nEuB5laVIgimPcW4fLQ1mnmdVpoaSkpHDzWcU8clE23RNufrmtl7qWLg4cOMCLn0nPZ6bRc0wbL7PZzG+2VPh+D9ermK54r8sO5d2DAxQnBhKmV/tGPe44MYlP64c41DvB8KSD2EDJWEAuSLZ0DrfoE8oYsTip759kf4cJD7C3bYxhr3jDz05KYtN1RVT+ejWVv17N3p+t4MNbFvPnc9O5JDeIn+YJPHNJOmdkhdA2IjF5QXL42Vo7xJDF6XPKOTcvgrXpIdx2QgIalZwAPwX1A5O8c3CAu05JZtTi5IndHQiCwK9OSWbM4uTmN6Ted/uojTVpwXxw0yJuWhoxR1oQ4OzccBxukW11cwVKpsvDyfExnLgglKpRGVk5uYSFheFwOAh2DaFVwGt7Go8qDx+J7zOYulyuOY5b/1fwQzD14qsyOZvNRlVVFWNjY0RERMw7t/lNcDyM3uke5fDwMGZlMAF+CpJDZ+TdArUqfn36Av64OgC9WvpyHOwxHzVsPw2X20Nll/koL8ppTI/ZXFegRyGT9EwXF+Z9ZT8DYHeL1Kv507lZjEw6eKViAKNaRmqoBo/Hg9XpZl+ribULQhAEAaNGSYyXcJMSqp0TIGp6x6nsHmfjsjgSgjT8aWsdPX0D/P7CJSyKN+B0i0QbNaSF+fPE7nacbkkF6JoXq1ArZAhIpb6VKTP9w5WpIQT7K5mYcvHqAans6XB56DPbJa3XRdHEB0mBN8hfxVk5ErP3pdJu33tEGfxYXxDJO4eGsMj8cblcpIf64REFtGo5Yf5y6vqtPLKznfZBMwFqGSFaaaGND9JwelYYKoUMm9PDxJSbf+7uwM9LANvVLF2/UYs0OtE1ZuOsHMm7dLo92mO2szb96A3czqYR5ILA8uQg3G43DQ0NtLW1kZeXR79b8lVdmTx/ptI4aGFgYso3EzofyjpM3veYuZ5rFoTy+KW59E24+GOJhaTMfFpsGhIC1RgVLhoaGigpKaGqqspn49XY2EhjYyN1ozNBdnZJ8okvOug12zkvP5Jekw2b04NaIeD2iNy5pRaAu9elcv3yeNwiLE4w0jlqZWweL1SjRsEpGaH88ex0yn61ivdvXsK1y+LJitL7JBin1Zt6e3tpbm4mLy+Pxclh3L0ujXeuL2TPHYv55OaFXLtE2ugNjE8hiiJLE4385dNW9raOEeyv4o4TE2kZthIb6MfDO9qINvqxviCCVw9IcpBbqvoQBEkGNCtCj0yQKkBRXvP3I9eSzAgdKaFa3q7uP+pzTWNdVhhjVicHuiYJDAwkPj6egrxcTskMp2rIjVrjj9ls9pWHa2pq6Orqwmw2+4h/34fn6P8VHd758EMw/QrMluKLiYkhNTX1O3WP/6pZU7fbTVNT05we5cHeCXJjDMhkR59DYqCKtWnBCEgydpc/Vzavzmdd/wRWh3vOCMRs2O12hoaGmLJaQRBwe+CeWf6n86Fr1IrZ5iIhWMvK1GCuKo6jx+wg0h/Ky8o4fPgwH5S14nB7WOPt91V3m6nvl8o4XWN2BmYRUl4o6cZfJWdpuMj5CW76LR4qJgMwTUlCCEkhWrZ7s9zOURuXPVvJXz9rYc2CYAK1KrQqOR4Rn3sHSPOfV3nLu0992YHZ5uB37zfQNGQlRKei9IiB92mVo/3tJjpHZ/pzN62KRyGDe9+uxK4M4Pla6bwnp9yo1Sofi/qyJXGcnRnIqM3NknDoHrNxWrTLZ2Z9ycJInG4RuzeYfFw7wMD4FId6x/FTyPCIkBMtLfyzixe584ylfH54mMI4A27bBAcOHECn01FQUIBGo2Fn4whqhYziY8yG7vYG8dkbjyOxq1kiFS0+glS0LCmIpzbk0T8+xYbnKijvGuekzHCSkpIoKJBmX9PS0gCoqalhYGCAj1tmrmWAn8yXUUYb/egy2RGAQK2CP37cDEiEpds31eLxiJyXH8GFhdH85VPp7w50mHje61W6IMzfJ5J/2wkJ7P35Sh66MNtntD4fpvWqnU4nRUVFBAQEzLGlC9T7ExWk446Tknnt6jwCNQrKOsc50GFGq5Jx+6Ya6nrHWZ8XztJEI4MTU0xMufnt+4d9mtN3vlXPu9X9nJ0bToi/ksGJKValBPFGRR+WKde8GaIgCFxQEMmh3gka+ifnO3VWJAcSqFXyzhEB9/SsUCwOD7UmGcnJyT63l4SEBORyOX19fVRUVNDe3s7Q0BB9fX1YLJbvPAh+l+vk/xb8EEy9OPLmDw8PU1JSAkBxcTEhISHfSgJwPhzr/YaGhigtLUWpVLJkyRICAwMx25w0DVpYGDd/CVcul3OwZ4Ls6AAeuTiHxoFJLn76AM2Dc7+M03qyC+PmLoxut5vDhw/T0tKCTqfDog3H6RY5Oy+CrTUDvFU1d5ZyNt7wzoiemyv5jK5KkQJ1t0UgOTOPiIgIdraY0asEnL0NVFZW8setdajkAlqlxM78w4eNiKLIwPgUH9cNsjxKhtzj4JrTi1mTFswTuzv4y6fNON0ij1+Sw2WLotnROIJMgNq+CX56UhIZ4Tpq+ya498wFLE0M5KXSbp9fKMCFhVGoFdLs582vH+L9QwP8eE2ib4Rh2gMWIDnUn2XeAPSKN5O12+30tjRwTpqW8kEPGze1Mjnl9i2cT1ySw0tXF7B2QQgPbG9H6++PR4SCNCmT+rwHGoakgDExOsi9xUrOS5eCY/uonds3HcIjwknpIQjAR7VDXFAQyexl7oHPWuZc+/YRK81DFrID3bS3t5Ofn09MTIxPtm9n4zDFiYFzhPJnY1fTCAvCdT7fznlf4yUVzfceRfFGnt6Qx9DkFG6PSGbETLAXRZGBgQGGhoZYuHAhK1eu5J3WmfsxaffgnYhhcaQSmSDir5Zz/SsH2el1FWoctJAW5o+IJHt44kN7afMydqfPJ1KvotdsZ9zuwl8t50crE475WabPq7e3l+rqapKSkkhNTT1mpWk6e82LC+KLny7nppXxyAQYt7uxu0Qufq6Ks548wOD4FA6X5JH6RfMoz+7rJtor2n9+fiQGPyVjNhcDEw4m7S4m7C42VfYd07nlzOww1AoZr5fPzOJaHW7KOk28Ud7L37a3oVfL+axhmEuereDKF6q49Y0aPq4dQqeW82bFzPd1ujwcFRVFeno6ixYtIiIiAqPRiNPppLW1lQMHDlBZWenTfz5Wefjfwe12fydVu/+N+L/5qb8CNpuNyspKuru7KSgoICkpyfdwfB8G4bPfb/rYPT09FBYW+jQrQWLpAkcxcKfhQbLGKow1cGpmOC9fW4TD5eHSZ8p84zIg6ezGBWl8ur4Ag4ODlJSUoNFoKCwsRCaT8WWzZLn2u3XpLEkM5A9bG2ganH+XvM1rwn3Rwkg8Hg/7Wk3IALvLw++3NqHR6SnrtXNqVgTLly1lSBlOzYAdt0dkSYSM85IV7Ggc5l876vnHx9V4PCI3nZjus6b7xSkpOFwePqwZZMOiaOKCtBTFG5ALgo+IMjTh4PFdHazLCmNddjjXLI1laNLBu7N27gaNkvPzoxCAyq5xzsoJ48YV8ZxfEIlOLee5fV1zPtf0orypvJeW9k5fhUJvlLI4p0fkmuJYNl9fhEyADw4NoJDJ+Ov6TIoTA3nqy06UcoG2YQtJIVrerZUYt7nRAXRMacnMyOBHy6PReNWSDvZMoFEI5IVKG4zKLjPrssPnnFNpu8k3ngPwdpnELnYLKrYN6fnFe01c82IlFz9dxgX/KqPbZGfC7uKZPR3sbx+bI1Vnsjqp7Br3VQvmQ/uIlfYRG6u+gtCSH2tgYZzkCfunjxtpHrL42hMej8fnPHOox4RtFvFIEMCr8YFSpcLphlvzVGQGCUwnSknBfrSPWJEL8Ny+Lpxu0Ze9TnibrX0TDpJD/Yk2+lEUZ/zKrMjhcHDw4EHGxsYoKiry+Z0eDxQyGbetSWL/L1dy44o4NF51pi6TA7PdRWKw1ApRKwQMfgouLowgMkDFGxV9vFjazdk5YdyyOp6yrnFijX48V9KNxe6ct3dp0Cg5IzuMdw8O8MePm7jo6QqW/nUP17x0kPs+buat6n5cHhERSc9ZpZBJ7jQto0xOuTnQYZpT7TkSoigSEBBAXFwcOTk5LF68mMzMTAICAjCbzdTW1h63GfhsTExMzHEZ+r+EH9i8Xoii6GPppqWlERISctRrvo9gOu2g0dHRQV9f3zGPXd5hQiETyI2ePzPtGHcz5RZZ6C3fZkcF8Pp1i7jmxQquebGCxy/NY0lCIOWdJk7OkNiBdrud+vp6BEFg4cKF+Pn5+Twp97SMUBhnRO+n4K/rszn3iVJ+8uYhNt2weM7Yg83homtMGgExaJQIgsDOphGK4o2cuCCE+z9p5r8+bPKNkIjAE3u6CdQqGbM6uenUPNJCNTQ+X86jeweQC1AYJsM+0kOH24LBYCDGICkG9ZqnSAv356HPW3nqyw6yo/RolXL2d5h4sVTKBO45UzLjXp4cRE6Unqe+7ODcvAjfXGZckJ8v09OqFNKuXa3gosIoni/p4o4Tk3yarwvjDKSEamgesvF+zRCXrszjJ2/VU9E1jlwAtwjhAWpiAjUsSwrinYP93Lw6EbVCzhOX5vCbdxv4sHaQrbWDrF0QyvuHBrhuWSx+SjmPfdGOXZQTGx3Juhyzz5jcLcJj+4ZQy2HKDR/uryNII2PUNpPR3fL6QVYmB/FFQz/NXlGKFytH0ChlRBr8MGqUBPgpfA4srUMWKrwbKqVcYGliIKdlheH2iLhFkTVpRz9v09jZKGWIXxVwHS4P1d3jnJQeQmX3OJc/W8aP85WcuTR7zojEza/XzPl3CSFaukZtyASB+iEHSSFaLj9lEY9U7gZElDJoHZFY4jIBQjQyhr2G5mNW6XOH6lTcdVoqSxONLH1gD+fkRhzzPIeHh2lqaiI5OXleic/jhUoh5/YTk/nRqgTeKO/lHzvaGLY4Gfb2u6dcIlMuFw9sb8eokfu4DBuLo4kMUNEyaOGjeum6vl1nYkPBzPUfnnSwu3mUHU0j7G0dxeURebOij4VxBq5fHkdudABpYf6E61UIgsANrx6kZdjKE5dk+57x2t4JLn2uki1Vfdy8KmHezzBfeVmtVhMaGuojVoqiiNVqxWw209/fT3OzVF6fZg8HBASg1WrnbF6+iZTg/1/wQ2bqxXQpZLqkOx++62CqUCgwmUyUlpbi8Xi+8tjlnSayovQ+PdsjUT8sfZELY2cy15hADa9cW0S00Y8bX6nizYoezDYXi+KNtLe3U1FRQUxMDPn5+fj5SSUpmUzGiNXF4YFJHyklTK/mr+uzaBm28Pv36xFF0ef88WppJyJwSkYogiDQY7LTOGjhhLRgrlgSwykZobxT3Y9WJWdxYiAfHBrg8IAFvVpBapg/qcFqmhobuS5HiUouY8oNt52WS0pKCgqFgt7eXh56dx+95imCNDLu+eAwT33ZwQUFkbx8dSGPXJyN1pshJAVr0XkdWgRB4ObVifSY7LznZRrvbBzmwc9aMWgUqOQCmyv7fObhVyyJRSYIvFAqZafTG5zz4qT7/Wa9lXOeLKOiaxy9n4K3bixiVUoQD+9o85Fm+sxTPv1atULOX87PZFVKEFaHhw+9LGO5XCIKiUhCCyCRSabxwtUFaNVKXKKknlQxIsPlmZtpNQ5aeXZfN4Igfe4zs8PZfvtSyn61ig9uXsLL1xTyr8vzMWiU5EUHsPcXK9n7sxU8eWkulxVF0zps5dfvNnDv1kY0SplP4H8+7GgcIS3Mn2jjsQlope1jWBxuzsgI4pcLlWiVAg9WOKnsnykVNg1MMmKZIQrp/eR0jtrQKOWkR+g41DvBhYVR3PPBYaxeZSinBzRKGaE6JefkhmN3w+wrsSxayfPnRVEcpeKgVzwhdx7lL7fbTX19PV1dXRQWFn6rQDobaoWcK5fEsufnK3yjXRqlQJRhpupzSVEMr28sAuCn7xzG6oJ7zkhliZcV/Gr1GCWdkzy2s41Ln61gzcMl3L21kfr+Sc7Ni6AgJgCNUs7f12dy6+oEVqUEERGg9gWwK5fEMDjh4INZrPasKD3LkwN5s6LvmDOnx8Pmna2glZ6eTlFREQUFBYSHh+N0Omlra5tTHn7nnXdobW39IZj+AIiIiPjKev+3cXo5ElNTUwwODtLf309eXt5XMoTtTjcHe8wUxR+7JFU7NEWsUUXoEb2vML2aF69eSHywlv/yzu0pRttwOp3zKjbJZDIODUvlnNkMz2XJwdx6QhLvHeznpdIuX0b9jlc671ovYWeXV4HlhDSJtXv3GWkIgsQi7hy18Y+dbSSFaOkcs7E20Z+KigpCQkJYXJiHXCap1Ty9pxO1RkN0dDRRCam80yYZmKsUcpweiNXLODVohMP1tdz//iGsTg8qhcDullFfJgWSR2ROlJ4nd3ewvWGI2zfVkB6h48H1WTjcksfqQ59L6kvhAdI40FuVfXQOjFJWVobL5eKK05Zi1Cgw2VyMT7mJD9Lwzo2LSA3T87t1CwCR377XwJq0YIwaJZsrZ3pcMkHgV6dKlmxeuVie2dPFl80j6NRyH/knKWTGnN0y5eZv6zMx+CkQRWgYsDLuLWfO5p0lBipZGiVtHFaFWLAO9zAyMuITUu8x2antm+CkDOn+GrVKVqUG88tTU9l2WzFPX56HCNidHk79Ryl/+aSZcftcVqzJ5qSi0/yVmStIHrMahYBmvJPleWm8eUMxSSH+3PLGIV4s6UIURZ9p+TSWJwXhdIs+yzWVXIbZ5mRz1UxZ/priGGxOD78+LY2i+EAmvSbfAAtjA3jwonzUajV9fX18fKABAVBP9tPX14fVakUURZ+Yv16vJz9fev13DZVcxq9OTWXz9UUsjAucI5P45O4OntnbwbXL4mgesrLhhWo2VQ0QH+SHWi5tGO7+rI8n90ibuJtWxPL61bl8cEM+d52cxG9OTcbqcPP03q55j708KZCsSB3/3NM5h8F/dXEMIxbnnDbHbHzT0Ri5XI7RaCQuLo7s7GxfeViv17N7927uvvtuPv30Uy666CIefPBBvvzyy2OumY8++ihFRUWo1eqvVDN6/vnnkcvlPlEHnU7Hzp07v/a5f9/4IZh+DXwXDDVRFOns7KSsrEwqYcbE/Fsd36puM063yOKE+YOp2yNSO2AnO3z+7CHIX8XTl+UwbcBhiEr09SPnQ82wm1C9igXhc3sfN61MYE1aCH/e1sSB9jEcbg/NQxZC/JWE6KRFakfjMPFBGp8C06HucTyipK501QuV9JjsxBnVyAVYFCpSVFREeHg4b1X1MzHl5uqlsXzZMsp9HzUhiiJ//LiRMauTbpOdKTdcVhRN14SHJlks+8c0vFNvZl2Khl8uVCIAt795iJrWHhwOB4IgcIs3O719Uw1pYTr+tSGPZUlBLEuSBBC21Q35esrXLo1lyuXhkU/qyMjIIDQ6nlteP+RjnGqUMjZdX+SbAY02+vGrU1MpaRvjpdJuzskNZ7tXoGEaoToVckFyj7m0KAqXR+SxXR1MTrl59+AAZz9RyqXPzvg33vBKNZc8W8HoEeMe2REatLNuV+uYk5IBWBDuz0mLc9DpdIyOjvrkAF/acQiAZbHao5iagiAw5fTg9oj811nprMsO44WSLk77RymbK3rxeF+/s3FYKgMvOHYwnbTa+KS2n4WRapYVL8ZoNBKiU/HCVQW+Mv8trx+kZ1aACdUpaR6yEOMl6DT0TxARoObJ3VL/VyETCNOrKG03ER+kYVG8kQc+bUYpF3CLoFLIeHJDHga9RKrJyMhgBD3JoVqSYiOZmpqisbGRXbt2UVFRQWBgIBqN5jutKs2HzEg9T23I450bF3FtcSwBftINe6uqn4d3tOH2iHSO2vjrZ628XTVAQpAfei95rSjOwDNXFHDLCUlkRhlQKBSIokhSsB9n54Ty8v4emgcm5hirg3Qvb1udQI/JzqtlMwpai+ON5EbreWpP5xwzh2m43e7vbDRGrVYTFhbGgw8+yG9/+1uuuuoq/vCHPxASEsJrr712zF5rVFQUv/3tb7n22mv/7TGWLl3K5OSk788JJ5zwnZz7d4kfgun/IMxmM6WlpdhsNh9L93hEGw60jyETjk0+ahqcZNLhITvs6F23KIr09fXRWFOJTCagU8u5/a3DHOoZn+edpAyydtjNyuS5Q/5SadfDn85eQIzRj59sruO5fV14RMldBMAy5aK0fWyOeMDW2kEC/BQ8sD6TMasTP4VASesYa1KMLC2UJAltTjdPfdlBUZyBn52UzHXL43izvJcbXqlma80gogixgX68ed1CfnN6KmsXhPDXz1p4cGeXtGBfsphLT13OxqXROD1w4+Zm9pRVs2/fPvbWSH0eQYC/X5DpE6r40coEbE4P/io5f/m0mbGxMYZba1idqGNHt5uaISdnPV7K7pYxifCiUWBzeuY4xwBcUBDJqZmhPLKjjaxIPS6P6Ot/AvxrTyduUXI8+fGaJDRKOeuywljvdagxapWMWhzovH01lVzg3jMX8OZ1C1mdOjOukqr3MOmSStnTaByycnpWOH5+foSHh5OWluaTAzww6CE1WI3L1EdpaSnl5eU0NzczNDSE0+nk04YhAvwUnJkbzp/OyWDzDUWkhGq5+4PDXPVCJe0jVj6tHyYiQE3OPOM404zYTTvKGXeIrF8yV05Tq5Lz0IXZ3LwqgZ1H+HheXRxL85CVUJ0KP6UMu0ukc8zmyzq1KjlxgRrq+ifZuCyOhz5vwWRzSYpQgqQQ5K9SzDmX6p5xcqMNBAYGEhoaitPpJCYmhiVLlmA0GhkeHp5Xd/j7mItMC9fxs1NSKPnFKn52UpKvNJ0aquXyHD1qOQRolfxmXQY771hKoFZJWaeZU/+xj231Q8jkclQqlc/39ScnJqNVybnno2YcLrfPWN3pdOJyuShOMLAiKZDHd3XQMDCJyyMiCAI/WZPIwISDF0uPlql0uVzfi2jDtPpReno6V111FY899tgxqwHnn38+55577n+UWP23wQ8EpFn4vmajnE4nTU1NWCwWsrOzfWw3hUKBxWL5t/9+f7uJjAi9bxd7JKZnJDND5/a+rFYr9fX1qNVqdLEZWByV/G7dAp7d28F1L1Xy8rULSQ2bm31W94xjccEqb4CctkjzeDwIgoBBq+LxS3O59Nly/unNJC5fLPWLdjWP4nSLPmEBm9PN9oZhzswJo7xVUnNxuEQ8wDn5M4pHr+6XROv/fkEWgiBwx4lJmKxO35zo6rRgHjg/07eAFsUb2X54GLkAN62M9yn3/OSkVHY2j9E8ZOWRQyJJwXo+qhsiN8KPQ/12/vZ+GRuy/DEYDCQYjRTFGajrn6Sqe5xXvzzMNWtz+VmKyBmP72fjy5JDRbhezd8vyEIuE7j4mXLufv8wH91a7Dt3QZCCX13fJPd/0kxeTABvlPewcVkcHaNWnt3bSVG8gbIOM81DFk7PCuOj2kG2XL+QLVX9hOnUONwiD1+YyT1bGxmYmGJRvJGEYC3h2pnn8YNWB1qV5FLT6jXrBogMOHqh6jZNUT9g5acnJZOTI5Xfp6amMJvNmEwmWtra+aR2kqIoNYOOrhDLAAAgAElEQVR9vdLiF67jhasKeKuqnwc+bea8J/fjEuGSoqijvhdTU1PU19ejUqnoFEPwUwzMK/ogEyTpw8d3tfv+n0Ypo6LLjF4tp3XEit3bH1XJBRxuET+ljHG7i26TnWijH/5qOZsrpVJlYrCWthHrUTPSHaM2zDYXeTF6urq66OnpISMjwydpp9VqCQ+XWNEej4eJCUkesr29HYvFglKpJCAgwCeh+F2Wgq9dFs/q1BCue6mKpiErzUOQHaWn12znyhcqOSUjlBNSg3i7egCTzcVPt9Tx5O4OLlsUzWmZYRg0SoJ0am5cEc8Dn7Vw66YGUkK1dJvs9JntDFscjNtcvjbChU9L6lI6tZwwvZpQnYrHd3dwUnoISSEzG7FjjeR8W3wdx5ivg8rKSkJCQggKCuKKK67grrvu+l5EJ74NfshMvyaOVwIQpEDU09PD/v37MRqNvhGBaRyPQbjd6aaq23zMEi9IBJCoABUhGul2ejweWlpaqKqqIjExkezsbMq7pIzq1MwwXriqEKVC4JoXK+gatc55r11Nkh3VssRAn1LKdCCdXlQTgrXcf26Gr+8YbZQWn+0NQwRplRR4NX+/aBrB5nQTrbTx0oF+ciL9CfSXMsO73mvg9+838MiOVh7b1U5amD82h5umwUnaRqx8VDtDqOgz2xmacODyePjb9hb+/Ekzi+MNBPmruOWNQ7R5BcdlgsCjF+eilAkcHrDwUd0QN69K4NXrizknL4LPu0T0UckEBAQwOjrKqRE2rA43ASrY1OikoX+CW9845DvuuXkRfHjrEvJjDeREB5AerqNj1Mbnh2f6siC5yjx5aS4uj0ifyU6feYodjcPc/f5htCo59565AJkgaeBeWBiJzemmpN1EWpg/XzSNEB+kYWVqMOcXSNnqG2Xd1NTU0OCde1XIBFRyGS63h6puE8H+M2pRD+1oPep5mCY7nZY5Q7SZLsWlpqZiMyRidcG5BbE+Q/nS0lIqKirI01t47qJk4oO1uD0iB7vHGZqcKdEODAz4iGtp6el8dniY1WnBxxS2v2PzXAavzelh++ERb490puw6XXVZlihl4/3jU2RG6PjpFslSLSdKz8blkujGkY5I1V7ykd+kJECwaNGiY2rDTusOT4+EFBcXk5OTg9FoZHx8nJqaGvbt28ehQ4fo7OzEbDYf9/d9PoiiiHpqjD8tlXHH6hgC/BQc6p3wkbE+qR/i7eoB35iNQaNgYNzOvVsbWfbAl+T/cSf5f/zCN1+8v8PEmxW99JhshOr9WJYUxPr8SC5eGMnyJOkaBmkVpIVpUcqkSpMoimx8uZpttYPU9k0wZnUiiuL3kjyMj48ft2PM8WLVqlXU1NQwODjIli1beO2113jggQe+02N8F/jPCu3/CzDN6P132pOTk5PU1dWh0+lYvHjxvD59x8MOruySpAHnM+cGqV96oH2M1ckG3G43o6OjNDQ0EBERQXFxsW/3ua9tjORQfx9B6dkrCrniuXKuebGSV64t8s2d7moaIcUoQ6sUjgqiszEtbO8R4cdv1vLwhdl80TTCaVlhTEy5+LJ5lAc/bUIGPFQqCUUc6pvJwien3GyaVQ5tHLRww6tzSSqhOhVpYf6UdZo58/FSjH5KRm1OLloYxW9PT6VlyMrGl6q4/PkK/nlZLm6PKM0izlJBPzwwidsjcseJSWxvGOa/P23jn5dkMTg4SFaEP2tT/dnVMsa4w8XlL0sLd5ROxpDVw6TVjlKYea//Pied854q4zfv1bPzjmWoFTMBJDFEy6MX57DxpSoUMoG/fNJMt8nOnWuTqO+bJNQr0H6oZxx/lZy/bW8hQC3H4nATq5Rzy+uHfASg1w704HaEcHDISXyQHwMTDlweEbVCxsSUmxijxrcY95mn+LBmwDePKooi7x7sZ1G80ScacCQ+rB3EoFGwNjsapVxGbKwUpBwOhy971Qt2NAqo75vg7MdL+e1JscTIx5HL5RQVFaFUKtnbOsqIxcm6rPB5j1PaNjaHjOOvkrM2PYT3Dg4wMqsnnBWho8TbyugbnzFM+LRB2rRkR+p5beNC7t3aiF6tIDl0LsdgX1M/GgUUZyYQegw2/FdBpVIdNRJisVgwm8309PQwPj4+R/zfYDDg5+f3b4ORw+Ggrq4OtVrN4sWLWSqXc/3qVGp6x9lU3kvjoIUekw2Tzenztp3eYKjkAhqlHLdHxHHEhtvlgZZhGy3DtqOOCTBqdTFqnduOGLY4+dk7Db7fNQqIrizjrtOSWfwVxMavi69rDH48SEpK8v2ck5PD3XffzQMPPMBdd931nR7n2+KHYDoLX8eG7VjB1OVy0dLSwtjY2JxS03w4nsx0X+soCpngmx89Eg39kpNMYbSOoSGJxZifnz+H1DTldFPWMcaFhTOl1bRwHf+6PJ+rXqhg40sVvHTNQqacks/p5bkBlJaW4u/vj9FoxGAwoNfr55SFXi+TWKtXF8fwfEk3Vz5fgcXh5nD/JKse3IPLG9DC9SqGJh0sTghELoOKTjMf31qMTAY/21JHabsJrUrG1cVxiKLIU1924BYhLlBDmF7Fod4JH71/1Dtj+HHtIDU948QFaVicYOSLphEueloi8ehUcn60Io4uk52tNYNsPzzMXe/U8+fzMrlzbRL3ftjIf79VSmZ8BIdNKqr7hnDOSjx+e3oq5+eE8PfPmnipYpg3tx8g2ShDr9djNBpZGKunvGuCv21v5S4vU3caRfFGnrwsl+tfqabbZEcph79tlzJHmSBtPIYnHagVMkatTia9LN2GgUkaByfRqwTkXiGDlyulQDJqcfpKoVcsieWZPV1zlJpA8m2dDqZV3eN0jNq4fkU888HikAwHzswJP8oTdTqo+OkDOTTcy0ULozkj3cgv3z3Mzz9o5+RYgUuz/Glvb8dgMLD14BBalfyYUoS/eqduzu9n5oSxuaIPAQjVqxiccKCUQf3AJKIIIvgkJiMNavrMU4Tr1bx4dQEyQaC620xutB6Z93vqdDo5fPgwB3vGyYsxfqNAOh+mx+R8nqNI32uz2YzZbKavrw+73Y5Go/EF14CAgDllx2kt4vlmWrOjAo6yyusctbKtbogPawdoHLDgcIs43N8PYUqvksROmoet7Dw8QkGUVC2TyWQIgvCtyr9fx8v0m2Ja3es/DT8E06+JY0kAiqLI4OAgzc3NxMbGkpaW9m+D8/HIE+5pGSHIX0lVl1TqVSmONIWWyB06ay8qvZrCwsKjjlvRZcbu9LDsCOPo3BgDT1yWx/UvV3HdS5Wc6V2QL1iaRmqYDovFgslk8pE1FAoFRqMRq6CheciCUi5w48oEhiYdbK2RyrK9JisnxckwGIy8UT1CapgOs83EHScmcdmzFVy+JMaXHfsp5agVMiID/Ob01QK1SoJ1SlqHrYzbXajlAitSgok0qCnrNNM2bKWuf/L/sXfe8W2VZ/v/asuWZMt7r8R2POMsZ0JCIIEEShJ2WWWPtxRoCy20lD1KX3ahQAuUvSEEKNkDkpDh7HjvvS1bsiRr6/z+OJZieZBBEvi9zfX55I/IGudI5zz3c9/3dV8XZaPolkoksLvJREyIivBBYYiVpV3sauwjWOpBKoGPq9xQ1eIXXvAFOrVCyrdVBi6flsAdZ2ezumonK5oVvHfmJAasFoxGI5dnSNnTLArgT9S7mZURQ2hoKGaHl+X72/lozyF7MJcHLpwUyxWFidicbq5+ez8eQaB3wIUEMXjIJFAQF0wQDvb3iCIKDD6eGSMaZG8bnEddvq+D+ZkRbBzU23V5vHgFMNndvL2jiWtmJrN8fztBCinnZI/uaLSuvBuby8PSiaNnkwAbKrtxerycPSECubWDR0/X8U2bik/2dtDmhvvmB+HqM7GmrIuCKCnVFWWEhoai1+vRarVIpVK+reqh0xwoSff1wU48Atx6ejKvbhF9Kl+5YiK3vH8QqQReu6qAG949gE4lo93kIEgh5bObpqFWyLA43FR3WVkw2I/v7e2lsrKSmIRkmvq7WTzxxC7gcrmciIgIP1lGEARsNhsmk8l/3wuCgE6nw26343a7mTx5sn9++3BIDg/mptNSuOm0FJxuL5uqetjVaMRkcxGqVhAaJEcmlaCQSQlWylArpFjsHuQyCVkxWuL0avFxuRS5TFSQsjk9mB1uLA4PHSY7Bxp7+U9xG0qlgoRwLXPTxRKxTCL4uRGAf00aGliPNMAeTc/U7Xb7RWI8Hg92ux25XD6iF7pq1SqmTJlCTEwMFRUVPProo1xyySVH9BknE6eC6RAcrUG4Dz6ij1Kp9M9NHQkON7dqsrkobTcjAW54dx/hGgVLJ8Zx1YwkEsOCsFgsrNpXT3KonPkzp1BdXT3qOWyr7UUmlYzad52RGsbzF+dyxyclNPfaiAtRkRGtDdidJyaKBCNfGfCjQYPs6CBY9PdtmBzi/J8giP3ay07L59mN9aSEq9la28vNp6WwtrwbAYGrpos7/TVlXXxXbeC380XHDZ/RcqRGQVyoGpVcxunpEcxMC+P09HDCNYGVALfHS2Wn6HjS0W+n1WhnZ30flV1WdjeZUMokyGVSJIPH1W1xoVVKSYsIoq7HhoAoAHD1jESuLEzgunf34/IIbK3tZWVpF+flxXDP2encvbyMD3a3ce2sZPR6PampqaxpK2Z9RQ9/3dLNH1wu1laX8n2rG6cX9IPjELPSwthe38fy/R0YrC7uXjAejVIUKvjzOen8e1sTHWYnWZFyGvvsrL9jJsjkfLm/g4dWVuERxIrCb8+cgFeoZU+Tid4BF1tqxc3T8GH8ZzfUsWRiDCtLOjkvLwaNavRbe8X+DpLDg/x97dHw1cFO4kOUONsrSUhLIyc2lsIpEuaMj+T+ryu48bM6lk6MYcAN15+ZR2q0EpPJRHNzM2azGZlMxr0bA4l1EsDpEUiLCGLL4CxyelSwP8AunRjLp4M6tGaHB5lUwofXTyVCK/7uB1v7EYCCBB1VVVWYzWYmT57MgXYbXkHcGJ5MSCQSgoODCQ4OJi4uTjxus5ni4mKCg4NRq9Xs27cPlUoVkL0eiTWZUi7lnJxozsn5ceISiiApIUEKBEFA4zKiDunj+pun/aDcn9fr9QdWnzALiAFWEARkMtkPZq9HE0wfe+yxAIPv9957jwcffJDrr7+enJwcysrKSE5OZsOGDVx77bVYLBZiYmK46qqr+POf/3wU38TJwalgepQYGkx9rjLd3d1MmDCB8PCxnTdGw+HKvNvqehEEePOaKQw4PXx5oJ13dzbz7s5mzkgNZkGCl6o+L5cXJqJSqcZ8r+/rDBQkhvjVgSCQpTs3PZzHlkzg3hUVqAYtwkYjlCiVSiIjI9nQUAVAq0VgYlww+WFu3i9zcEm6lM3tcMP7B/EKkKhXExas4NKpcSx7dRcLs6NI0AfRa3Xy6MoqMqM1rC7roqJTXHgvnRLH/edOCDC4HgtymZTceB25BI5tWB1uPtzdysrSrhGOGxanF0uPzV9CvGZWEnctSAfgz4syuP3jEmJ0Kp5YXc2stDAW50bzTUknf99Uz1lZUSQNygz+7qzxbKjsoXfAw582GlBIJSyZGItMcPPJgR4unqBmZvQARQ2QEaFiV0MfS14pIkqrxOaC2BA1HWanKDKgVGGwWWkyucmIVnHx1HieWFuN0y3QY3Fy2et7mJwU4h8LcXtGL2+5PAKLXtyJzeVFrRAFIQoSQwKs7Rp7ByhqNHLH/LQxN46tfQPsrO/jgkw1U6YEZlYLs6PIjddx7xdlfLi7DZVcSka0Fp1ONKj2bbo+3d1Cv6M64H11Sgn9ToHUMCWbasS53mtnJXP/V6LYwkWT47jm7X3+57/yy3wyh8w57282IQHcnTWokuL8Dk77W0Smb8EoykcnCz6iYWtrK/n5+eh0h65Ju91Of38/fX19NDQ04Ha70Wq1/gDry+RPFFwuF2VlZf6N/uHGYXzHMvR5vnViaKAdmr36/kml0qMiID300EM89NBDo/5tqDH4008/zdNPP31E7/lT4lQwPUr4gmlPTw9VVVXExcUxY8aMY7ohpFLpD9b+t1Qb0KnlFKbokcuknJUVRWl9Ky9vrGJz4wDfNYhi69NTw8YMzAaLk9I2M3eeeaiJ79tx+hh9EonEv+h2W5z8+sODvHz5xFED6v6Wfn/57p75iWTKe/i0QUmw0s2fLpnNbVYb179XTF2vgxajnbwIKc+tLMbi8HBtYRyCIPDwN5WYbC4GnB7sbi8quZS/LM7kwkmxP5phqFHJuX5WEgsSBMob3KgiE+mwSXhjWxPtJgcSIFStIDdOx7+3NZOfEMLZ2dGcNSGKc3OjWVPWhUQi4ZGVVTx3cS73n5vJkleK+POX5bx2VQFba3p5a3C+1ocF2VFMSdZz31cVnJsbzUMX5iABtveX8WVxF4+eEcb3DWbWNzqxe+COT0uQSyE2RMWBdjEj/991NeTH6yhtN+McFIMfcHkRgL3NYo/U95kqmQTHKEHV7BDL2O8VtfBekeh0kxOnZV5GJItyRFlHuVTCRZPiRv3u+vr6eHVVCQJw08KCUUuU8aFqnrowhzNf2I7L4+WCf+7inrPTOT8/BolEgtvr5W/DnG0AUiKCaeq1salGDIpKGXyxqx4BOC83gke+qfRrJr9wSR6nDRm1EQSB7dWdJGglFE7KC8isDrT0My4yGP0oRvcnA0NJRqMFK7VajVqt9vdNvV6vv33S1NSExWJBJpONIDcdDxiNRioqKkhLS/OPBh0LpFJpwPo2PHv1lYd9EoOnhO5P4YgWcq/XS319vd9h5Xhd+MMhCALf1xqYPS4cuUyK3W6nokJk4z1z5Sx67XD9O3upNwzwv+uq0QcpRqXwbx007Z6bERmQjQIBTN1NVT1olDLuW5TBX76u4Kb39vPy5RP9Igc+fLFfJJDkRCqYqLUwPmMiv9+6lzMnRKJWyJFqNfTZPKgVokl3icFLicGKQgoPfFVKr83DoHY5HreX+RkR3HduJvGhx+d7NJvNlJeXEx4ezjlzD21ylhXE8fA3lXxd3Elll4U2k53xkcHc80U5MToVBYmhPHBe5mB/2cPa8m6+OtjJ0oJYbpuXyt/W1jL3me+xODzEh6r5zbxU/r29mRidilWlXawq7WJWWhhPLM32E2Rumz+er0t6KOpV8bcrC9hb0cDVnzYAEBssxWR14HOI+762l+9re5FJxFEYt1fA7RW4YVYSMpmENwbFHwBuPj2Vt3c04/EKWAddYDRKCVanQKxOxee3FFLeYWFfs4nva3v555YGXtncgEwCE2K0I0rAHo+H2tpaTP397OiWUZiiJSVibFUun5DGS5fl8+qWBu5dUc6ne9u49+wM1lV0MeAMvA4nJug42GpGo5QRHiynd8DNxIQQdjX1IwWaOo3UDEpYzkwMpjBO4Z+DtNlslJSWUtFt59y82ICF2ifWcMYPiPCfSPhIRunp6SNkOceCVCqS2XQ6nZ9F7XK5/OSm1tZWHA4HwcHB/j60Tqc7KoEFQRBoaGjAYDBQUFBAUNDYusrHgtGy166uLm699Vby8vKOqJT9fxGngukRwuv10tTURHNzM5GRkeTl5Z3Qz6vstNDR7+A36RE0NjbS0tJCZmam/6aNV4uG1zlxOkw2F1e9tYfz0uQUzvAGsDS31IgEpuwY7Yhs1H9ugsCmKgOnpYezbFIcwSoZf1hexjVv7+NfVxb4vS4HnG7+U9yBACzMimDSpCy21vZisrlZPNjfWV/RTd8gvf/5S3I50GLize0tzBkfQbfZgaFvkK2pk3PXdB3hsgHaqksYGGQN6/X6UceIDgdfyb23t5fs7OyAUhuIqjpPLsvmzAmRPLG6mm6LUyQ3yaXc8O5+/n5pPoWpeh45fwK3vH8QjVLG/V9X8Pq2Rmq7xezR4vBw6+kp/HpeKnKpFLlUwvOb6v2fkaBXBZSoY0PUXF6YwDs7mpkeaiVco0QqAa1KzprfnQbAXZ8eZF1lL14Brs+V80apmzun69nS7GBv2wAWp4cHz5uAxeHhg12iks0b25q4sCCWD3e3khSmprnPjtUpRtq2fgelbWZmjw9nZloY/zM3lV6rk8dXV7OqtIuyDgtnPr+NK6cncvWMRCROsd8fHx+PQR5Jq+kAd545fszvWRAElu9vZ1JiCPMnRDIvM4LP97Xz3IY6Lnl996ivsTk9yKUSHC4PCpnCf5wAIUFyinsO8QbOzdbT1tZGZWUlbrcbl8uFVxeD1WUmSCnj7R3N2F0eJBIJCpmEvgEXk05yv9Tr9fpFWKZMmfKjRR4UCgWRkZF+k4uhbi3t7e1UVlaK1aMhwhJBQUGjbv4dDgclJSWEhob67RRPNLZu3crdd9/No48+ypIlS/4rjcHhVDA9IvT19VFRUUFUVBRZWVmYzebDv+goMNoA9aZBYQCdpRGHLpKZM2cG7ARbjTZquq3ce04Gl05N4PFVVXy+r43mf+/muUvySdAH4fEKbKk2cHp6OF6vZ0ziwIGWfnosTs4c1GA9Ozsa7eVybv+4hEtf380/LpvIuDA5b6w/iH2wBHnB9HFIJBK+OthJiFrOnEGm8Ae7WpFKxB7W1KTQQRH4SG6ak8yvBnti5+fH8Oj5WX5mstPpxGg0YjQaaWhowOPx+BcOvV4/wuZpOIxGo8jsjIlh2rRpYy4gEomEc3KimZcRwWd72/jH5gb/XN+N7x8IeK4v42s12rn9jFTOyYnmrs/LeHdnCwuzo4jUKP0es8EKKRdOjuO9olYMVhePL81GP0j8uCBTzWd74JNqL6Ea8RisDjdWpwetSs4dZ2WwrnInAvBlo5RxEUEsm5yAW2hlb9sAn+1t47SIAXbUigE9LkRJe7+TrbW9eAQ4Lzeaf24VnXukgBe47eNiiu453b+p0gcrKO8wkxun5d6z03lrRwuvbG7grW2NLEpVcOfifKLDQnj20xJCg+QszB57xGRXo5G6ngEeX5IFiEIZl0yJZ3FuNBf9cxfNxkNzor59RfXgZmRhdiTrynuQAK1GMZj6dI+XTozhy4OdLJg0jmCZQHl5Ob12gV0mOV/tEtWz3tnZMuoxTTqJ/VLf/LhPvvFEBA6fW4vPsQXE6kF/fz8mk4nq6moGBgZQq9UB5Cbf346Fv3Es8Hg8PPvss2zYsIGvv/6alJTRx7H+W3AqmA7B8BvD6XRSWVmJ0+mkoKCA4OBgent7j6tgtq9vOvSz3W43qw40MS5Uypwp+SOyLDjkzjI3IxKNSs4Ty3KI8fbwToWVC18t4qkLcwlWSjHaXMxNDx9TfAHEbFIulXBGxqFFdPa4cN6/bgq//uggV725hyuy5OzrU6KQSciP1xGlVWF1uNlQ0c3SgliUcim1Q3wz7z07g1e2NGJzepmXHs7Vb+3FI8Cv56Zy27zUgGNRKpVER0cH9JXMZjNGo5Gamhr/wqHX69Hr9YSEhPiZ0DU1NVitVvLz8w9rGOCDWiHjqhlJXDUjic/2tvHUulrMDvE3zY3TcvHkWL6t7uO7agMOl5eKDiu3nB7Mq5dP5LI3dnP1W+KmwOMVuHxaAh/ubkUmkXDfogz+traGC/+5iwcWjUNv70CpVHLn/PE8sbYWsDJ7XBjb6vr44/IywjVKXB4vqRHB1PYM0GNxcumUVCRBIVx2Wij/KPoeAXizzENdr5P0MDntZid6lYSGXhsqGaw40EHooKuNF5E163B7uevzUv5+aT4gjsM0GGw8fWEOU1PCyAyXszbSyqpmCV/UDLD53we5enoS6yu6uX5WcoAYxXB8vKeNELWcRbmBTNOttb0BgRQI6CuLxyFuEId3ex88L5P15d1kRGtwW02sPljJt93BrK824fEKhGsUBCkE/nnFROI0ElwDFvqMJp7fbqDE4MFlaKbDG3bEYgrHAkEQaGlpoa2tze+ScjIhk8kICwvzm5kLguCXiOzp6aG0tBS3201UVBQDAwMoFAq0Wu0JyxK7urq4+eabKSgoYP369f+1pd2hOBVMh8EnF9jS0kJTUxPjx48nJibGf1GeCINwnwiEIAiiXFtZDVUGF785I23Mm3ZTZTdJYUEBepuFsXKWzpvGHR8f5Ob39zM1ORS5VMLpGRFj3lSCILC+optZ48JGaP/GB3v501QZr5cqebPUAYiiCT7K/trybuxuL0sGDZlf2dIw+PcotCo5n+xpIytWw0Mrq5AATyzNYlnB6OSXoRiqNpOSkoIgCNjtdoxGI52dnVRVVeHxeHA6nURHR5OTk3PMfaGLp8SzOC+a17Y28ub2ZkrbLVR11TJ7XDgZ0Rqqu6ysq+jmqjf3EqqW0zfgwuURUMqk/P3SXOYObkDe2dnCG1dP4oPrp/C7Tw7y60/KyYxUkxYtp7LjkNC4b2Z0a20vkVolcqnEnwUDvLy5gZc3NxAfqiZSq8Tm9LC3xUxmtIbbz0jj9k9KuGpyLO/tascjQMcgGcw3t+oLVOsrethU1cPc9Ahe+k60vVuYFUl9fT3d3d2cMyOPi87ScqDFxFPrav2yhNlxY5NHOvsdrCvv5orCBIIUhwJut9nBn74oDXiuTiXD7PD1c2VMTg5la02g4D3ApVPjuWhyHE+tq2VOopLn11fzTZ0bCf1cNi2ea2cmc+N7+5mYEDrEglBPanIixm1FTElWEhsTEyCm4Os3+jK2Hyvo7iMZqdXqI2LEngxIJBLUarXfdzclJYXExEQsFssJ1x3evHkzf/zjH3niiSc477zz/mvLusNxKpgOg8lkory8HL1ez4wZM0YMEJ8Ig3Df8LJvVrU3KBGBGs7OGZ2BZ3W42V7fxxWFiQEXskQiISFEwXvXTuLB/1SxsrSLsGDFD46aVHRaaO6zc+OcQyUaHyGlv7+fWZNzOXOOhmvf2ceeJjHrNNlcWJ1uvjrYQVJYEJMSQ+i1Olld2oVMKuGehenc/XkJXkGgtN2CSi7ljasmMSX52HpbEomEoKAggoKCiIyM9FcL0tLSsNlslJeX41uesQsAACAASURBVHA4/CMHQ8UDjgQapZzfnjmem09L4ck1NXx5sIPvBjN/H/a39BOilnPZ1HimJet5dFU1966o4O+X5nHnmWlsrjFw+8fF5EZIcA3OgFb12KnqsSMBFFIJXkSR8zC1nPJOKxvunIVHELjunf0cbOnH5RVYmB3JtGQ9RQ1GNlcb/NKI/XYXefFaQtQyDAMecUxHEPzZ4PRkHbuazQHZ4B0fF3PLrFhquwd4/Lzx7N+3l/Dw8IBSeEFiKC9elseZz29HKoG7Pi9jTVk3f1iYPkKO8MPdrXi8AlcOGhuAuBn7nw8PMBg3iQiWYxhwMzVZz7eD3+FLl+Xz289KSAhVBVixzRkfxn2LMthT08mA08O+Dic9Ax4W50bzh4XjiQ1RY7A6aey1cfHkwE1Yv91FTZeVRTnRhIeH+8uaPjEFo9FIR0cHVVVVR9xvHA09PT1UV1cfFcnoZKG9vZ3GxkZycnL8s52+c/TBNxvumwN2Op0BoznDlc1+CG63m6eeeorNmzfzzTff+AlUpyDiVDAdhvb29h8s4xzvYCqVSmlsbKSvr4+srCzCw8N59u29pEYEkxGtGfU1W2sNON1evzsLDApqq1QUFxcTFhbG9YXRrCztwjjg4qo39/Lipfkkho3M3laXdiGTSFiQJWZYvsUjKSnJP8vn9Hip7xlAJZeiVkh5eXMjb+1oYcDpYXFONO39Dp5bX4tXgDMzI7j781L2toh95dSIIN67dsoI0YWjhU9hqq6ujnHjxhEdHT3CIm74yIFCofAH19DQ0MMSm4KVch45P4t7zk7n7R3NfLy7je4h3qT9djdbakSy0PQUPd9W9/Crt/f5FZQA9nTAaekRXJ8Whj5YwROrq7E43P6geKBF1Oa1Oj3c+uFBOvodVHdZyYvTUtJuYV15D7XdA3i8AnKZFJdXjFId/U7mP78DgFWlXYQFyf1EL4BdTWYEiZih+sq+HgFe3tZBqg60fdUoIiNQq9XYbLaAPvQHu1pxuL18fMNUttb28trWRr6rNnD9rCSun5OMRilnwOnh4z2tnDkh0j9vC/DIyirKOsQ5YZVcgmHATWyIih0NYgZ+5fQE1lV0Y7K5A4Tt8+N1PHdRLo31dby0URRr8CDln1fkBjjQ7G8RN3DDRSYOtogiDsP7pUPFFIb2G30BpbOzE5vNFiAFGBoaOiLb9Hg8/hbD8SAZHU+43W4qKyvxer1MmzbtB91TjpfucEdHBzfddBOFhYWsX7/+mEiC/9dxKpgOQ3Z29g+6RBzPYNrX14fBYCAmJsYvSt9rdbKzoY8bZqeM3eMs70YfpGBKUmjAuEt+fr4/oKzYJbJMby5Q8175AJe8tounL8xhTvqhvqggCKwp72Z6qp5gmUBxcTFer3eEDNqGih6/WfVfFmeSHhXM/V9XUNM9wKqyLlaVHXJ4GeqocvNpydw5f9yPLgP5xoLkcjlTp04dtT8zlmKT0Wikr6+P+vp6P7HJF1zHIjZpVHJ+PS+Nm09PoajByK4GI2vLu6g32GjstdHU24pOLSM+VE2/3UW3xUVEkJTFebF8sLsNu8tDlFbJwyurkEokfHLjNMKCFeyo7+XtHS1UdYnBZ1ejEbvLS5BCitHmRiWX4HQLNPfamBCroalXZMGGBcnxCGJFwDce41NA8pV3veCv8RptbkLVMkx2MRALUjnz5s1kYHARHdqHlqi1vLW9jfmZEeQnhJCfEMKyglieWV/LK1sa+XRfO7+Zl4bFIQbD62cn+7+nT/a08vGgahGATiXH4XZRkKBjTXkPGqWUc3OjufLNQ2IMALlxOp5dms6B/fv4oBr2dImjVP/59XTCggN/231NJhQyCbnDPFX3tfQjlcDEhMOTj2Qy2ajZ63ApQF/2qlAoqK2tJT4+/oSRjI4VZrOZ0tJSkpOTiYuLO+pj+yHd4f7+/gDd4aKiIv9zHn30Uf72t7+xaNGin9X38XPCqWB6lDic0MKRwOl0UlVVhd1uJzo6mpiYGH+pZU1ZFx6v4BcuH/Fat5eNld0syolBgoDbHahE4pthK1vfTVasllsXTeT07C7uXdnALR8Wc2mmgksmRhAWFka7XU5Tr40Ls3Xs3bt3VFFugI93t6JVybC7PCzMjiRYKaPf7ua08WHcNCeFv66ppqLTSmZ0MNVdAwjAMxfmsHiMczhS+JRlmpubycjI8I8OHClGIzb5GJG+gOLLUIYSm3yQS6XMHhfO7HHh3HnmONpMdu78pJjSdgv9dg/hQW7OTRJITUzmtaIu3tvVRqRGwc4GIzsbjKRFiqQlXyZ3waR4zsuL4fefl7Kx0oDd5SUrVsPFk+LxCALbanv5rqYXJFDSZiEuVMU52VG8vaOFt341iVs+OEhWVDDl7RYGXF6CFVIGXF7SIoLo7HcQGqSgfXDkxBdIARpNbm7/pIxXr5iIXq8P6EM/uaYKm8vLgqgBdu7c6d9sPLI4jaumJ/DUuloe+qYSmUT0E82NE4PajvpeHv6myv8ZYcEKeqwuEvVq1gwSjS6ZEs917+wP+E3iQ1U8cVYUJWXlvFYhpaxzALVcyqKc6BGBFETXpNw43QhS1N4mI5mjzMweCUaTAvRlr01NTfT19aFUKjEYDHg8nlGF7E82BEGgubmZjo4O8vPz0WhGr1odC8bSHT548CAvv/wyJSUlJCQk8OWXX9LR0cGSJUv+zxh6H0+cCqbDcCJ3XYIg0NbWRkNDA+PGjSM2Npba2toA5aL/FHcwPkpDVuzoRJCttQYsDjGojWWR1tnvYF+zidvmpaJSqZiSmcTylDj+tKKcjyp76PbauXWKhfeKOpBKBFJkfcTFJRIUFDSCWVzdZaWo0UiwUsYZmZGEqBVsrOyhy+zk/nMzidKpqOgURe+rusQRiAfOzfjRgdSnd6zRaCgsLDwuC5lUKvUzgocTm4b214aWhodm6PGhaj69qZCNZe08/E0lDX1OGvqA8ibkg33pHusha7H6ngF++cZuwoIVeL1gtrvos7kD+poVHVYeWx0ovecaTD/bTQ7e2iGOg/zpy3LSo4MpaTsks6ZVyRlwiT1FrwB3LUjmo92t/lEUn5A/wJbaXq57Zz9vXTMZEK/zVouXL0r6WFYQxwVnZQWMX1RVVWGz2bh7spp31FrW1Ig+s2e/uJ0zMsTZ0qFbSp99XM+g96lcKvEf+1D8brKCxp5+nt4v0Dtg58+L0nlidQ2Fo7gi2V0eitvMXDMzsDfn9no52GrmgkmxI15zrPB4PDQ2NhIUFMTcuXORSkWhlNGE7A9X2TjeGEqAmjp16gknQEkkEkwmE5988glz5sxh3bp1uFwu9u3bx86dO+nv7z8VTEfBqWB6kmCxWPzBYai/6dCycZvRzu5GIwl6Nf/a0sCi3JgAJRpBEFhZ3EGIWs70lNAxx13WlnchQMD4glYl54VL83jj+yZe2FRHRYcZs8PDrJRQ5kybQF9fH42NjZjNZpRKpT/ofFAkjs0MOD1cMMjE/WRPK1FaJfMyIvjFP3YChwLAxZPj+OW0xBHHdKTwmVV3dHSQlZWFXj+69dzxwFBiky9D8ZW8jEajX41Gq9X6M1eTyURwfxsrbizAJgnijW1N7G8x0WV2YHd5sTk9DG0S9A246Rs4+raAbLAP6wtYbSZHgDcoiP3oSYkhrK0QZzdf/q6WqzIkvCCOZSKXwtlZUawqFR8oajRy+jNbeeeaSSSHa3jkG9G8/PdniVKTo41f9Jgs7Fy3j7woJeckS/i6zsknew/50Cpkop2Xxysgk+CfQ/YOq94EKyQEyQS04dHcu6oJuVTK29dMprhV7K1PGyWYlrSZcXuFEf3Syg4rNpeHKT8g1n808PEEhlc/fNdGbKwYtD0ez6gjW0P7jcc7e/XNuI9VNTreEASBDRs28Je//IWnn36as88+GxDXqdmzZzN79uwTfgz/v+JUMD1GHKlTvcfjoa6ujp6eHrKzs0cEh6Gausv3if2nIIVoHv3shloKEkO4ojCRxbkx2F0u1ld084v8GFSKsX+61aVdTIjRMC4ysBQklUi4JC8UpVnFywdcmJ2g16oJCtag1Wr97DyHw4HRaKSxrYsVBzoIUUrwIiVT56KitY/NNb38z+kp3PdlBU19dj8BZ256OPefm3lU3+NQDJUCnD59+klRbxmO0UpeFouF7u5u9u/fjyAIaLVaDAYDer2eexemjSBjeLwCXkFAIZPSaBhgXXk31d1WJBJI0geRl6BDJZfy209LmJgQyu/OGseAw0O0TsWHu5p5b1cb3999Gjq1nHaTnUdWVvJddS9L82PoMNvZ29yPyyNQ1CiSc9RyKXa3F8OAlxcO4CcnOTyiTGFqRBANBtFI2mB1cd7Lu8iK0VDRaeXxJVljksMkEgnv7u7CaPfw6pWTUMmlvLj/kMqRUio6wfjPe2j8FA71c0OUooZ0VnwYv/+6gUititevKiApLIg3ByUZE0cxMvfNLE9OChnj8R8XTD0eD9XV1dhstiMiGclkMv8m0wdf9trT00NdXV2A4EhoaCgajeaYsldBEKirq8NoNB6VlduPgcvl4vHHH2fPnj2sXr3aT+A6hSPDqWA6DEdy4fsC4OF2oT4x/Pj4+DHF8OVyOXa7Ha9XYPn+NmaNC+eta6bQbrKzsqSTz/a2cs8XZTy1roYZKXpsrkNznaOh1WhjX0s/d8xPC3jc5XJRU1ODzWbjknmTKLHVs7q0m29Kumjps3P/uZnkDPbDVCoVMTExrKpz4PCA2ytw2eRIHHYb/9hSh0wCm8paqTAMuucIMCUplOcuyRthOH0kOJwU4E+Nvr4+urq6KCgoQK/X+4fle3t7xyQ2yQZ/65SIYG4cw6h7QVY068q7SY/S+L+3hTkxvLWzlS01Bs7NiyEuVM3vz0rnu+oi8hND+GthDoIg8MflZXxTKhK/7MPs2CQSyIzWUNNtxWz3YHPa/Hq/PvicevY0GZmeqidBP5LpXd8zwFs7mllWEEtNl4UHv6n0awlHDgpOOO2BWbdKJgZZ82C1Wy2Du+Ym8OD6VrbX95EZo+VfVxQQqRXnqosajMxMCxv1vtvbZGRcZPBIUlKzidgQFXE/Qs/ZYrFQWlpKXFwcEyZMOOZyrU/I3ickP7QvX1dXh9VqDbBhOxJWud1up7S0FL1eP6o/8YlAW1sbN954I/PmzWPNmjU/aX/4/1ec+saOAb7S7FgXnMPhoKKiws+M/SFBAZ9ow/d1vbQa7fx+0BIsNkTFtTMTubowju31fby+rZlvSruQSqC228qkxNBR50e/Lu4ERMk+CBwpSU1NJSsrC7vby7dVBs6fGMOscWE8uaaGS17bzYWT47hpTgrJ4UG4vV7eK2olQa+m1WjniplphAcr2dzchEwqoar30CI6LUbKrble2poa/AHlSG/GI5UC/Cng69vqdDoKCwv9vSqVSjUqsWlo+S8oKMj/XYwlHDB/QgTL97ezp8nEzDSxtDoxIYQIjdiX9pHQMqI1jIsMZk1Zt3+2+E9np7GuvIucKAU6rZbtdX0MVljpHXDTO+D2Z4bhGuUIo24fvtjfwZcHO7mgIJYbB397ELPrv3xVjlImobzDzIoDHQGv67EGvp9eLSNIJafd5PDPnCqk8NDsID46IJaFMyJU/H3ZOMKDxWujwWDDYHUyPXVkidfjFdjX3M+i3MDZTkEQ2NtsZFrysZX/fUSe9vZ2cnNzj7vDydC+vA++7HXo5kun0/l780Oz166uLmpra8nKyvKX208kBEFg3bp1PPDAAzz33HOcddZZJ/wz/6/iVDA9Bow1HuO7UX3s0yPpcfje6909TURqlZydHR1gkSaVSjktPZKUCA3nvLiDaJ2Kh76p4sPdrdy3KDOg1yQIAl8f7GRqcigJ+qAxR0rWlXdjdXpYVhDL9NQw5mVE8PJ3DXy4u5Uv9rdz1oQoYkNVtJnsRGgUTE0OJUqr4tp39uHyCgQrZTgHS9M3n5bCHfPTcA2OofT09FBbW4sgCP7FQq/XjyhTHasU4MmA73dsa2sjOzv7sP6MwxfQoaMXoxGb9Ho9KpWKWWnhqORSNlX1+IOpTCphfmYkq8u6cHq8KAcz1sW50bz8XQOd/Q6kjn5qampYkKlnU62Z767Nw+by8MLGOpbv7xh8H/xZZKfZyS/yYvimpNPfg43RiQFWQAxcn+1r57N97cSGqIjSKmkwDPgVjCo7Dxl9a5SicfWXBzr8Zd24EBVGm5v8KA3tg33dYIWEL26dzqZKA/u7a9AopTx1biKm7g5a6qqRy+Vs7xY3GJPiRzJTq7usmB2i+MNQtBjtdJmdIx4/EjgcDsrKyggODj6pSkajZa9mszkge1UoFP52z8SJE48rW3csuFwuHnnkEYqLi1m7dq2/N3wKx4ZTwXQYjqSkMlow7e/v/0HlpLEgk8loNjr4rtrAbfPSkElGjrsAfL6vHakE3r9uMgdbzfzvuhp+9fY+lkyM4Y8L0wnXKDnY2k+9YYBrZmbS1NREW1sbGRkZI5h3n+1tIyksyB+IQ9QK7j0ngxtmJ/POzha+2N/unys1WF1IJTbmPL3VXyYcGJS/u21uCredIZJXfKVh34LhGzUwGo20tbXhcDjQaDTo9XokEgktLS0kJSX9qBLbiYDVaqW8vJzQ0NCAbPRoMNroxVBiU0tLi1+JZlKcmg3lXdyzcLw/Kz9zQiSf7WunqL7P7+t5Xl4M//iugTc3HGTxOCVTp05Fk2xnZcUevinp5LKpCTy2JJsQlYy3drb6A6kP/ykRKxa+bLXT7AwQm/Cho99BR/8hopPv+QC3nJbC7HFh3PzBAX8gTdCraTPamTM+jC2DcoHxoUo+u6mQd4taeWVzAwBXFCaSnnpoRtXpdPL2ZyWEB0kxtVSzvd4VkK3tbjICMHWYatbeQRWu4Y8fDt3d3dTU1BzTiNXxxlCRhOTkZKxWK8XFxeh0OhQKBWVlZQHZq89E/HjeJy0tLdx4440sWLCAVatW/SwkEv9/x6lgegwYGkx9GZbJZDomAWyZTMaKCjNKmZRLJseOOu7idHv5fF87c9MjiAsNIi40iLkZEfxrSyNvbGviu2oDf1yYzt4mI2q5lFhHKw5H2KjBoMEwwO4mE787c5zfd9OHKJ2KuxaMZ3qqnls+OIg+SEa/3UO3xekf/fBZfk1KDOHX8wL7ssPPa/igvNFopKqqCofDgVwup7OzE4fDcdSl4RMBH4u4s7OTrKysw2ajR4uxiE0zOxvZ2dzN8g07SAtXodfryQjRoVHKWFfR7Q+mOmyk6CTsaHdzz7JpSCQS8uMVTIjR8uneNpZOjKW4tR+tWoFCJkFCIDnIf54MEXoY/HOwQorN5UUqgQitki6zM0DrV4JYki5u6+efWxv976WUSWg1igS0rbWi4lF6VDCf31zIk2tq+HB3K9NTRWnEuRmBGzqFQsHBDhszx0UybVouXq/Xryvb2NjIun0GwtUSBrpb6Hbp/dZ8e5qMhKjlpI+hDjYcQ0lGYwl+/FQQBIH29naamprIzc0NWDt834fPScmXvQ7tvR7LuQiCwOrVq3n44Yd54YUXmD9//vE8pf9qnAqmw3A0mWlnZyc1NTUkJycfc4bVZXHzbaODCwtiiNKpRn2Pb0o6MVidXDXj0MhJkELGnWeO4xf5MTz4n0ru+6oCqQSmRsuYnD82ieeTPW3IpRKW/cCM3hvfNxGuUdBrdSEBfjUjkRUH2onRqanutqKSS3n24twjPt+xpAB9rOHhpWFfdnK8TY3HgtVqpaysjLAwcQNyMvq2PoGNC2dk8MK2bnpU8ZyfF+fPXvMjJKwqbueiFDdOh6i/e+HUZJ77tpHGXhupEcE0GGwk6tVsqOxh+t+2+CsHIWo5/XY3S/JjCAmSs6asm27LoR6nL8QqZRKUMimWwUqDR4Cuwd6qRi3D4xHwCBAeJGdjZaBWMYjB2pfd+oLv85fkcs8X5awu6+L6WUn0292UtZtHKBU1GGx0W5xMTxXL21KplJCQEEJCQkhMTKRh7TZmjBNZsUOt+bbXOMmOUjFgtR6WKWs2mykrKyM+Pv5nVwHxaXFLpdJRJQGHfh8++IhvRqORxsZG3G53gB61RqP5wWvX6XTy0EMPUVFRwfr160/KqM1/E04F02OAIAjU1tai0+mYNm3aMel2+mQAX9/egkQCs8Ot7Ny50z8U7vPxBHh7RzOZ0RpmpY0kJIyP0vDc+cn84fNSijq97O/x8tGBXq6dpRnBrLW5PCzf387C7CiitKMf8+5GI0WNRvLjdVjsbl6+fCJFDUb67R4sDrF39tKlecSGHBmT0m63U1lZiUwmG5EZ/FBpuL29PaA0fLTi9UeCodlodnZ2wMJ1shClU5Efr2NjVQ+3zk31E5su94Rx56clFDX0UZgcgiAIJHjEfuh9yw9gdkFNjxhkJRJx5vT3Z42nIDEEtULGohd30GK08+6yyfxhYTrvFzXz1Lq6gMzU6RFwejyEqmQMuL3+WWEpYBmioORzponRiVnr0HzXK0BWjGbwXeGBr6vY22zi7gXjuW5WEgv+vp0ZqWEjrsWdg9q9o5GPmvrEQFuYGh5A9Oo222ldu52zM9QjmLJDqxsnmmT0Y+Ez00hJSfG3AY4EoxHfhmbzFosFuVwesCH13W9NTU3ccMMNnHfeeTzzzDOnyronAKeC6VHAZ3fU0tJCVFQUubm5x/Q+vkBa2WHmiwMdXDk9kXNOywgo7fhYoaVGGVVdVu4/O2XEbKtPltDpctHlUpIVIycpLIjnNtbxdXEnD5wbSFD6T3En/XY3VxQmjHls//iunvBgBWXtZi4vTCQ5LIhb3z/gH624/Yw05qQfXv3kWKQARysNjyZe7wuuP6Y07BPRCA8PP2nZ6FhYmB3FsxvqaDPZiQ9V4/F4iBUMKGXQLERwY0EOJW39bKxtRkIX+9rtZIYruCJLwbRYBetbJayrHSAzUuUfI/nNGWk8+J9KNlb1cNaEKK6dlcI5OdEseWVXgOUbgMlx6P8SCBCdkA6K53sERjCC9WoZjy3JJiNGyzkv7iA0SI7N6eWZi3JZnBtNbbeVdpODW05LHXHORQ1GYnQqUsJHVh92N4r90uGqSPsHzRMWFqQycXDGdOicp09NzO12ExwcTG5u7kkh8hwpBEGgqamJzs5OJk6c+KNJd0OzV9+M+FCXmC1btvDwww+TkJBATU0NDz30ENdee+2pQHqCcCqYDsNYpSCj0Uh5eTlRUVFMmDABq9U66vN+CENF6b2CwBNrRBm5rw920G9zc3Z2FHPSw0kOCSE5ORmv18v//msXCSEK8rQ2ioqKkMvl6PV6vF4vPT09pKenU2GS0dB7kL9dkM35+bFsquzhiTXV/OrtfZyTE8VdZ40nXq/m7R3NZMVqx1SO2VbXy84GI1OTQznQ0s91s5J4fFWVOHIhCCwriOV/5qYe9jyPlxTgaOL1P7Y07NsQdXd3/2xmWhdkicF0Q0U3S7JCqKioIC4ujjMyo1hbaaDl3f1sr+9Dq5Ixa9Bc/MGl+UxOCsXlchHT2MXK6ipeWVvMuSli+bgwIoSUMDXPrKvl9PERKOVS4kKDWHHrdK54YzcWp4cQtXxEgBzeZR1OUAJI0Ei446wMzp0Yj0wq4e7PRS9TqUTCW7+axKTB62trrUhImjM+PPAzBIFdjX3MHhc+6v22q9FIhEYR4NULsHuQE5AzRPR+KFO2u7ub6upqkpOT/dWjocbyYznEnAw4nU5KS0vRaDQndARsqEtMUlIS27dvp6Ghgd/97nds27aNV155hczMTD766KMT8vn/zTgVTEeBRCLxi9m7XC6qqqoYGBjwU9YNBgMmk+mo3nPouItEIuHTPe3sajRx4aRYnB6BTVU9fHmwg7BgBUsmxvLLafEUt5qp7Brgr0uzyc8Te5wmk4mysjJA7N3W19fz9z1uojVyzhgnlinnT4hk5rgw/r2tiTe+b2JDRQ+zxoVR1zPA3y7IHnUBEwSB5zfWEaNTUtzaz/kTY/i2ysDGKrFXNjc9nCeWZh/2HE+0FOBYpWGTyURFRQV2u33M0rDFYqGsrIzIyMif1UxrakQwGVEavtrXTJZUQV5eHj0OCW3GLkw2NyXtZu5aMJ7LpsYjkcDcZ7ax4kA7k5NEAYDJ6QmcNr6H79os/OXiGThtAxiNRq7IVvLXbf08/vkOfjUtBr1eT3RICK9fPZnr392PzeXl2Yty6Oh38G1VD3ubTP5Z1aEIVsooiAumtN1MtFbFil+LDkdWh5vHV1ezsrSLYIWUL24pJFp3qH2wtcbAuMjgEb6oNd1WDFaXv186HEUNRrJidexpMiGVgFohIzFMze5GIwWJIf5xIR98JCO73c60adMCWglD9ZeHauwO3YCNZjl2PNHb20tlZeVJZRI3NDRwww03cMEFF/DSSy8FXOs2m+2Efe5HH33Eww8/TFNTE7Gxsbz11lucfvrpJ+zzfk44FUzHgI9pV19fT1paGjk5Of4b7mhs2IZmoxKJBKlUSlm7mb+treG08eE8en6W3zN0e10fX+xv5/2iFt7e0YxKLiUtIojzJ8b4M6qurq4AWcKi+l7Keg5wS2E41ZUVAVqy10yN4sJJsfxzS6NfT3VtWTchKjkzx4UFOHGsKu2ipM3M1ORQDFYnNqeHR1eJriAz0/S8cvnEHzzPn0oK8HClYbPZ7FeccTgc5ObmnlC932OB2WwmJ8TJV7Uu4tIn8frODv69vQmFTIpcKmFhViQ3DLE+OycnilWlXdx7TgZBCvE3vHpGIrd8cJDVpd0sLYhFp9NxdVISu3tL+LrGwIVTlXgMBurq6vB6vTw6L4Qnvjdx74py7pifxhXTE9nVaGJuRgS/mp7AgMtLpEZJdqyGlqZGVpV2sr0RHlsgetyuLOnkqXW1dJnFMZpfz0sLCKQ2l4ddjSZ+OW2kJN2OerFf6puttTjcbK428F21gb1NRv94zveDme1Q3DYvdcR390Mko9H04c1npAAAIABJREFUl0fbgAUHB/sD7FgiG0cLn7KXyWQ6aZ6ogiDw1Vdf8eSTT/Lyyy8zZ86cEc85UcS+devWcc899/Dxxx8zffp02tvbD/+i/0M4FUxHgY/dGRQUFCBK78ORBNOhQRQOzYw299n4zcfFRGgVPLnsUJaolEmZlxHBvIwIus0OfvNxMcVtZuoNNm54ew8L45zMyowL6O8JgsCL3zUQoVFy84I8ghQy/8iF0Wikvr4ei8VCukpcGKYlatnTZGRDZQ/BShkTE0LIjNagVcp4p6gFnUrOnsE5vtVlojh6dqyWV68oGHPn7vV6qa+vx2Aw/CzKpsNLwz7/R41G1B+uqqr6yVjDwzG05HzJ7Ey+rC3l8n/vxWB1cX5+DHcvGM+Ta2vYVGXA5fH6STzLCmJZcaCDDRU9/GJQ6WrO+HAyojW8vq2R8yfG+Mee7j0nna21Bl7d1cfLv8xHIpH4Bduf1gbz1OZ2nl5fhwRICJHz4FkJREfokclkWK1WDuzbS2RkJBva5aRGSHF7vfzyjT0Ut5nJidMyNyOcT/e2c25eIDO0qL4Pp8fL3FH66zvqjSSFqenst/P3TXWsKevG6fESHqwgNkRFq8nBb89MIzdOrLQMOD1squphxYEOv/LR0P7j0ZKMxvI3Hc09aGj2ejSw2WyUlpYSERFx0iQB7XY79913H21tbWzcuPGkO7s8+OCDPPDAA8ycORPA74X634JTwXQUNDU1MX78+DHlvORyeYBt2nAMz0Z9N1Jpm5nbPynG5vLw5tWTxxQYr+0ZoKTNzMWTYgnyWllRYWFnk8D8PjO/1QyQES0uHJurDexpMnH/4kx/hjLU0zQpKQlBEHjpzT1EBMu5a7oGs9lDZZ+cMqOM+n47n+wx+bVdZRLxX2aMlvIOCzE6FW9fM3lEWc2Hn7MU4NAgn5eXF7DYHk1p+ETBt2ELDw9n2jRxbjQuVE2/zcXrVxUwe5y40J+bF82q0i521Pdx+mBgmpaiJ0GvZvn+dn8wlUok3DgnmXu+KGfTIOkIIC5UzZ3zx/Hk2ho+39fOxVPiAwTbH4mM5ZLX92B3eWjpd3PN+6XkhEOyFtQSD9ExMawsdVDZaRUdZj4rIzk8iEd+MYELJsVx4b92MSUpdAS7e3NNL0EK6Qg3GJfHw/b6XrRKOVe9tQ+tSsbFU+I4NzeagsRQ/vJVBe39Dm6ckxIwB72v2YRSJmVSUggOh4PS0lK0Wu1xue6Gimz4xN19IhsmkylAdMQXXHU63Zif29nZSX19/Ql3PRqKuro6brzxRi699FL+8Y9/nPR70ePxsHv3bpYsWUJ6ejp2u51ly5bx1FNP/WSb1ZONU8F0FOTk5PgzytHwQ3KCo2WjPty7ooy+AReXT0tApx69jNRqtHHX56Ukh6mYH9bHhPGp3L44iveKWnlzWzPLXt3F0oJYbj4thSfX1pASHsTFU8am139XbWBfi5n7F2dSkCfuFGe4XP4RlPKWXu7bYmVcmJyqXjezUkPY3tCPTiVn+c3T0I5ivux2u6mtrcVisfzspABBVKOqqKggKipq1MX2ZLKGh8OXUXV0dIwYxzkvL5p/f99EVsyhwH/6+AhC1HJWlnT5g6lUIuHCSXG8+G09jb0DpISL3//i3Ghe3FTPa1ubODMz0n/tXTUjkU1VPfx1TQ2FqXr/87stDm754CAquZSPrp/KwbZ+VuxvY1NzPy7f5T9EOWlStIyFmVGck59AaIiOmm4r1V1W/rI4Y8Q5bq4xMDMtDKX80Hd/oMXEw99UYnd5Ucm93LcogwsmxRGslPlfV9TYR2GKfoSgyK7Bfml/Xy81NTVkZmae0MxrNJENq9WKyWSipaUFs9mMTCYbMZZTVVWF0+lk6tSphxW0Px4QBIHly5fzzDPP8Oqrr/qzwpONzs5OXC4Xn332GVu2bEGhULB06VIee+wxHn/88Z/kmE42TgXTY4BUKh2RmQ4nGI1W1llaEMvn+9p5a0czb+1oJj9exwWT4jg3L5oQtYJ2k53r3tmHw+nmt7P1zJmW4ydT3Hp6Kr+cmsC/tjbywa5Wvj7YiUcQeOainDGdWlweL89sqCU1IjDgKhQKIiMjCQuP4KEt/aiVMjqsAmFqKdsb+lFK4cl5WsyGDmSewEzNYDBQVVVFUlISmZmZP6tBeF+Pqq+vj5ycnCMu/Z0I1vBosNlslJWVERISMuo4zuLcaF7/vol1Fd1cNlXc+CjlUhZkRbGmrIsHXZmoBysQF02O4+XvGvh0Txt3LxTNEeRSKdfPTuaRlVVsr+/zZ7dSiYQnlmaz7NVd3P15Ge9eOxm3V+DWDw5isDp581eTSY/WoBMsxNmcpCzOw0IQFoebik4Lj62q5p6zx3NBbhhGo5HmpkbKLRa+rBNVk6bHKgKMH+p6Bmg12v193s5+B0+vr+Wbkk5/BWXFrdOJ0QX2EFuMdtpNDm6YHZjN9dtdlHeYuThbQ2tr60+iZDT0GvGVL12Dm1KTyURDQwNmsxmtVktcXBw2mw2ZTHZCM0Sbzca9995LT08PGzdu9G8Ofwr47ofbb7/d35v+/e9/fyqY/rfjcAFi6N9HIxiNhRvnpHDjnBSa+2ysLe/mP8UdPLKyiqfW1TBnfDhF9b24PF6eWzqeubnJI16vD1bwx7PTmZGm59cfFQNw/9eVVHVa+dXMxBFWVe8XtVDbPcBLl+WPGnDf3dnM3mYTuXFaStstAGiUMlbcMg29UqCvr8+fqcnlclwuFzKZ7KQJcR8NfCVbX8n5xwb5H8MaHg7fzG1LS8sPlv6yYrSkRgSxurTLH0xBzFiX729nU5WBxYOG79E6FfMnRPDFgQ7umD/OnwFeMCmWf21t5IWNdcwaYm0WF6rmr8uyuf3jYv78ZQV9A06qOq289Mt8sqODKCkpwev1Mm3atICM6tUtjURoFFw6NQG1QhbQPnhw13amJGjwDBjZu7cRQRAICQlhbZO40ZyZpueN7xt5eXMjHq/ALaelUNTYh8PtHRFIAXbW+4QcAtsrWys68Ari3GlBQcbPZgOnUCiIiIjAbrcjCALTp08HxGtx6H0zNHs9XpuAqqoqbr75Zq688kpuv/32n7zFEhYWRmJi4s/mt/kpcCqY/gh4PJ4xS7o/hKSwIG6Yncz1s5Ioa7fwzvYGVpX14BZgRmoo4WFj91lMNhdPrqkhWqviuYtzeXtnM//a2sg7O1u4aHIcV05PICU8mFajnZe+a2BeRgTzM0eWw8razTy7oY7kMLU/kEZplSy/ZRoRGnGh02g0JCQk+EcKIiMjEQSB0lJxrnC4C8pPAa/XS21tLUajkby8vBMW5I+1NGy32/1OJYcTzpdIJCzOieafWxvptjj8KlXTU8OIDVHx5YF2fzAFuGxqAusrelhX0c15g3ZtKrmM2+alcv/XhwQbfDhzQiS/OSOVF79tAODJZdnkR0jYvXs3qampI9R4Drb2s7W2l7vOGufPiIf+rcXo4H/mpjFhwiGWbH9/P9s2VxAdLOWGt3bRbhWYmRjMXWelkhITzhvbmrhmZtKo57+jvo8orZLxg/OlvpL42gNNqOQSFkwe/7NarF0uF+Xl5cjl8gAXGp1O569w+EQUhksA+q6RoxWwFwSBTz75hBdeeIHXXnuNwsLCE3Jux4LrrruOF198kUWLFqFQKHj++ef5xS9+8VMf1knDqWA6Cg53cftmUBsbGwkLC0On0x3TTe71elENdHJRko3bTivgyzIj7+9q5dLX93B6eji3zUsL0DR1uD389tMS2kx2/n21OBw/KSmUmm4rr3/fyEe7W3m/qIXClFC6LS4EQeAvi0fu5I02F7/5uBi5TEJTnyhJNy8jnBcvy0c+ZIc7VAqwsLAwYFc93AXF5XKNkEI80QufL0uMjY09Ltno0eBISsNOpxO3201iYiIJCQlHlD0syo3hlS2NrCsXvUtBtGU7Pz+GN7Y10W128P/aO/O4qOr1j78Hhn0HURARBWRzRUUULb2WaZaV2qbZr1Izs7TVut0021cry8qsTFMr7Xatbmq3XFJw1xQXEAQUBGSVGWYYZp/z+4POkREsdlDP+/XiDweH8+XM4Tzneb7P8/kE/pnVDQv3I9TPlW8PFkrBFGq2E1bsOcsH288wqlcnyfdWEATOVV5whEk/U0iIGeLj4+vtVl2ekou3q5K7B9ftyvz5eAnOjg6Mib0QrB0dHTlvduJEiQEB6Obrynu3hdKvkwNq9Xm+3pKNxSbQ3VlHaWkpPj4+0kOYIAjsz1Ux7E8hB/EhxNPTk1y9C/GhznajXO2NKAnYs2dPqXpRH7VFFKCugH1VVRXOzs52ohKX2mutrq7m2WefpbKykh07dnS4Ea+FCxdSXl5OVFQUrq6u3HnnnTz//PPtvaw2QyEGhgbSqP98uSJKkl1M7ZKuXq+noqICtVpNVVUVLi4u+Pn54evr26A5tYqKCk6dOkXXrl0JDQ2VAkGV0cI3BwtZtTcftd7MqF4BPDKyJ6H+rjz+7zT2n1Hxxm2x3NKvrlB9mdbIvw+fY+2BAtT6mvWH+rkR0cmdLt4uOCgUnNeZSMk+j/7PDhMXpYLXJsQyvu+FG4IgCJw7d46zZ882eNC89k1CpVLZGWSLDxwtVYqyWq3S/F5sbGyHKzkbjUYpY+nSpYt0XhpaGr710wN4Ojvy9fRB0mtnyqu56ZP9PH19BNNrzZx+tS+ft37L5ruZg+jT9cKD1y9ppTz1nzReujmaOwZ2RRAE3tmSw6p9+dyXEERGfhn7i63MviaMR0f1rNPwk16k5fbPDzF3VM86qlcWm41R7+1hcJgvS+7oA9TMlX61N59lKbmYrQKTBgSx4MYou4z2tf+d4j+Hi/h5eiz6Kg2VlZWYTCa8vLxQ2dx46MezvDohmhEhSnJycmr25F29GPHubh4fHc6sEWHN+lxaAkEQyM3Npby8nD59+rRIp2ptAfvKykrJfs3X1xeVSkVsbCxZWVk89NBD3HfffcyZM6fdy7pXGQ16Spcz0wZycYORh4cHHh4ekiamwWBApVJRXFwsZXPiTVO0j4Kask9WVhYmk4n+/fvX+WP0dFEya0QY9ySEsPZAASv35nPHF4fwdHFEb7Ly2q0x9QZSqBFN793VG43BwjUR/iT29OVogZazqmqOFmoQBAGT1YbebEPpoKCThxPfzhhMF+8LJdqmSgHW1gkV5dzE2b3CwkI0Go0khSh+NaVDVq1Wk5GRQdeuXRk0aFCHKvtBTVfj6dOn7R5CxKykoaXhCX278N6205yt0NP9T+3anp3c6R/izU/Hinlg2IWHr8nxwXy04wxf7SvgnUlx0jrGxQXy9QEflmw/zQ2xgazeX8CqffncEuPNKH8NDw2P550dBXyakkdGcRVv3BaLj9uFjGhZck1WOm3IBacikd05Kiqqzdzctwsmi40NqUV8kpxLeZWJIG8XDGYrL90cI2XEF95XUTPWE9QZsBdr37anxtpNKM7kpMZBKjnvO12jwJVYjyB+WyOO5Hh5eTFo0KAWC2j1CdhrtVoqKip4/vnnycrKoqqqijvuuIPY2Fh0Ol27z3PL1EUOpvXQlAYjV1dXgoODpZuAuFeiUqnIzc3FZrOhVCrR6XSEh4cTEhLyl4HAw0XJQ9f0YGpCN9YeKOCL3XlYBdh0vIRATxeSwv3qvP/wWTVPfn+C6C6evH9HH2nkAGo6e//100k2nSjFQVGTsX46tZ8USFtaCrC+2T2TyYRaraaiooIzZ85gs9ns9l3/ajDearWSk5ODVqttEZHwlsZkMpGRkSFZatVXqmto13CMqwcK4IfDBcy7LlL6nG8bEMRLm05x4pyWvn+W/z1dlNweH8zXBwt56vpwad5ToVCw4MYobv/8ILO/OcbRQg3XdnNierw3kRE1RuSvToghLsiLt37L5qaP9/P46HAmDggms6SKbZnlPDKyB16udW8RG48X4+2qJKdMxyubT1FWZWJgqA/vTIpj3voTXB/bqU4gLVDpyT2v5+5B9iVj8SHseKmJLu4KEvtGEhAQgEajoby8nI0HS3FTgmNlIUWO1W0i/1cfYhd7a4/kwAXzcKVSSUhICAEBASxYsID09HQ2btzIwoUL+eGHH/6yvNxURo0axb59+6QH3ZCQEDIzM1v8OFcicpm3Hmw2GyaT6S9nRhuDOBLh4OCAp6cnGo1GKm+JpeG/22OsMlr49mAhaw4UUF5lIryTO5Pjg7m5bxcCPV3Ycaqcp/6TRmcvF9bcP5BOnhf2N1XVJh765hgnztW4bgwP9+Pd23vj7Vpzw68tBRgeHt5mJSSxYUUsDdeWQvTz85P8KsVsNCQkpEN2DJaVlZGdnU14eHizb3DiOZnz7wyKNSZeS3KSzonSzYsJXxzjpj5deHlCjPSeQrWesUv38cCw7jx1fYTdz5uy4hBHC7X0CXBg2ZR+BPjXFSJJL9Ly+v+yOJxfSbCPCy5KB0q1JjbPSaTznw9berOVsxV6dudU8N62HASh5mYwrKcfM5K6Myzcj/25aqavSeXDO/twfUyg3THWHSrk5c2n2DhnCOGdLpTlBUEg+3Qud6zL5da+nXnpFnsnphs+3Euvzh68OjZUKoPq9XpJ/k/cVmmta1ZscNNqtfTu3bvNGu3S09OZPXs2M2fOZNasWW32Nzlq1CimTZvGzJkz2+R4lwlymbepnDt3DqVSKZntNvXmbbPZpAH96OhoO0UlsZRT227N3d1dCiQX76d5uih5cEQY9w0NZdOJEr774xzvbMlh8ZYcuvu7kVehp5ufKy+Mj8JktXGmvJpSrZE/zqpZvisPs1XAzcmBf/05KO+gULS7FKCjoyN+fn74+fnRs2fPeqUQLRYLCoWCyMhIAgMDO1QgFU0QLBZLi80+iufkziE9eP6/Gbh2iyPcX1mT0ZcUMjhQwX+PFTE5woFuXQLw8fEhxNeNG2I7s+5QITOHd5fKtcuTT3O0UIuzI+gEZzy86vdrjQv2Ys398WzLLGfF7rMcLdQAMGrJHtycHHB0UFBltJ+rntC3Cw+OCCMy8EJg3JZZhovSQZpvrc2unAqCfVzoGXChoiA2GeVWO2Gywsho+weRsxV6CtQG7h8WKl0nUBOAq6urJXWijIwMOwGF2j6ezaG6upq0tDQCAwOJj49vk2tPEATWrl3L8uXLWbFiBfHx8a1+TJmWQc5M62HdunW89957AAwZMoSkpCSSkpIadTOvrKwkMzOTgIAAevbs+bdPluINQqVSoVar0Wq1ODs7S5lrfdZR2WU6tpwsY3tmGelFVZf8cDp7OXNznyBmXdNdykZrSwF27969wzU0qFQqaX2urq6o1Wo0Gg0ODg52e4xtPbwvIpb9evToQVBQUIvfaHVGC9e8u5tb+gfx4k3R0uvHCzXcteIPHhsRxKgQByorKxEEgQqbG09tOc+spBDmjY7k3V9PsvJgKddF+nBHQhizvz3G/UNDeeaGyL887sy1qaQV1Shm5Z6vpspoxWyrEb0P8XVjzf58tEYLm+Yk1tkOue6DvcQGefHx3X3tfqbJYmPYO7u4tX8XXhhf87uUlpaSk5NDdHQ0Xx1RsXJvPnvmj7BT3BKz2U1zEunZ6a/L+uZaql6VlZWYzWYpo/f19ZWqHA2luLiY3NxcYmNj8fGp37KwpamqquLJJ59EEAQ+/fTTdtkXHTVqFGlpaQiCQHR0NK+99hqjRo1q83V0MOTMtKncfffd3HXXXWi1Wvbs2UNycjKffvopGo2GgQMHMmzYMIYPH05YWFidP1BRak8sCzW007R2U5O4n1bbOiorK0vaSxEDbGSgB5GBHjx8bQ8MZiuZJVWUak1U6s24Ojni5+5E72AvfN0v7N91dClAi8UiZeq1G7TEvejaN01xbs/b21vK6Ft7P020+9Lr9ZccKWkJPFyU3BAXyOYTJTwzJlLa/+7T1Yu4YE/+l6Vl1j8SJOF6jUbDsAw9aw4UkpVbyO/n4LpwD14eH4GPtxd3D+7KV/vySezpx8he9e/5HchVsee0ivljIhjfp265Ol+l55kftDw+OrzOOU4vqqJYY+TRUT3rvO/QWTV6s5VrIwOwWq1kZmZiNpulbH5XTg79u3nXka7cc7qCIG8XegT8fcesqOolNn3V7i4XqxwuLi515P8uRlyfWG1oC0lAgLS0NGbPns3s2bOZMWNGuz3cvvXWW8TF1SivrVu3jgkTJpCamkpERMTfv/kqR85MG4HBYODAgQOkpKSwa9cuCgoKiIuLIykpieHDh3Ps2DH27t3L/Pnz/7bBqCmYzWbUarX0ZbVapZuDGEj+itpSgK2xvuYijguFhobStWvXBq3PZrNJ+65qtRq9Xt9qovVittyY9TWHQ3lq/u+rI7x2SwwTB1wQVPj34XMs2pjJmvvjGdT9QqPYnoxzzPyupllkcv9AHhzog6aykqqqKmwOSl7bb6BMZ+XbB+KJ6GJf8hUEgbtX/EFZlYnNjyTWEWkA+PD303y2K4+tjw2rI2z/wfbTfL47j5SnhtdR4nrz1yzWHTrHb7P7czorw+78lVUZGfnenjqjL2arjeGLd3Fj7868dHMMLYHBYLDLXkXFJvFaEUUYunXr1iafL9Rcv6tXr2bFihWsXLmSfv3+2uqwrRk3bhw33XQTc+fObe+ltCdyZtrSuLq6cu2113LttdcCNVnUsWPH2LhxIxMnTsTd3Z2oqCj+85//kJSUxIABA1r0ydbJycluALx2A096ejpGo9FOOEEsbYl7e2azuVWzqaZisVikbG/AgAGNWl/tsi/Yl8svHj/x8/Ort1z+d9TuJK5vnKm1GNTdh54B7nx/+JxdML2pTxfe25bD6n0FDOrui81m42RWDp/sqPGPdHJU8MT1vfD3cIE/R7eMRiOv+5fy4Pc5PPT1Yf41xJXggAt7jMlntBw/p+WVCdH1BlKrTeDHo8UMj/CvE0gFQeC3k2UkhPnWCaSCUGN837eLC7k5p+jbt69dtWZXdo1n6TWR9vusRws0VBmtjIhouc5ZV1dXXF1d7SQixb+f1NRUqqtruoUtFgsajaZFZ6PrQ6vV8thjj+Hs7MzOnTsbZSPXVigUChqZcF21yMG0GSiVSsrKytiwYQPLly9n3LhxZGVlkZyczIoVKzh69CgBAQEMGzaMESNGkJCQ0KJl1Us18KhUKk6fPo1Op8PBwQGDwUBoaCgxMTEtYnrckpw/f56srCy6d+9OTExMs7OB+srl4viJ2HULDZdCFFWWgoOD6dWrbXVhFQoFk+ODWbw1h+wyndTs4+7syJ0Du7Jiz1lOnavg7OksPjlmJbPcyqwR3fli91k+TTnLv8ZdcHNxcXGhf2QoS+/yZNY3R/n0pJL3bgnEUK3lRPpJ3tiuoZuXIwP9zGg0mjoZ/e6cCoo1Rp6tZ881u6yaM+eruTex7kzqyXMq8lUGborwZfDg/lgFOFVSRWZpFYUqAz8cLcJF6cCK3Xm4ODni7+5MiK8rqQWVOCouGIi3Bo6Ojnh6enL27Fl8fX1JSEiQrhVxNlqcFxevl5baoz9+/DgPP/wwc+fO5f777+8QVSK1Ws3+/fsZOXIkSqWS9evXk5yczJIlS9p7aZcFcpm3mZSUlEjG0xcjKgnt3LmTlJQUDh06hJOTE4mJiQwfPpxhw4bh6+vbKn9IogoPgL+/P1qtFq1WaycS4Ovr227B1WKxcOrUKYxGI7GxsW2aLdeWQlSr1fVKIQqCYOdA014qS+d1Jv7x/h6mJoTwz7EXgmNxpYExH+4lMciRXJ0j56stvD0xjjGxgSzamMkPqUX8PGeIZLdWm98zy3ns3yfo29WLj+/ux8/HS3jj1yzev60Xvf2RVL2cnJykIPLi1nMcKdDw+xNJdfxtP955hk925rLjySRJTxhq/jY+2pbJf7KtNTrUxVUcLaiU1LdE3J0d6eTpjNFso6LahNkqoADiQ31Y+8DAlj2htVCr1Zw8eZKIiAhJMOFixK0V8Xqpra3blMYmm83GypUrWb16NatWraJ3795//6Y2oqysjPHjx0vd0TExMbzyyiuMGTOmvZfW3jToA5aDaRsiCDVOLLt27SI5OZk9e/ZgNBoZPHiwlL0GBwc3K7j+nRSg+OQt3iAAu6amtuiOFfduw8LCmv37tgQXSyFWVVVhMpnw9fWlZ8+erTrH2BDmb0gjOauC7U8Mw8P5gnj+G/v1pJWZCPBw4uO7+0k6zmVaI+M+2s+wcD8+uqtvvT/zt5OlPLPhJJ08ndAYLPTt6s0X0/rbfRaizN3povPM/G8xY8OUzEzoVEdkY8KyA/i7O7H6/prAZ7FY+HnvCXaf1bMl14jZWnPbiO7iSUKYL/1CvInu4kGp1siDXx+zm0sVBIHj5zTcveIwT14XzszhLS8hKAgCZ86coaKigt69ezeqbF/7WlGr1eh0OlxcXKRz4u3tfUllL41Gw9y5c/Hy8uKjjz7qcM1/MpdE3jPtaCgUCvz9/bnlllu45ZZbANDpdOzfv5+dO3eyZs0aysvL6du3rzSOExkZ2eAbeUOkAC+2FrNYLNKN4ezZs63aHVt773bgwIHt5jRzMaIKj6enJ1arFYPBQHR0NCaTSZpjbAkpxKZyT0I3Np0o5edjJfwjVEl2Tg671D6kldU8DN3SN8jOECHQy4U5I3vw7tYctmaU1RFQALghtjNd7nPh/tWpGC02YoM8sQoCylqftShztyGjGpsAj9wYj5/SLIloGAwGzltcOF1ezeR/hHKisJL/phbyS1op5w0CSgew2GB0dACLxkdLAv0iG1KLcXJUMCz8QilXoVCQWaIDYGSvv9eEbiwGg4G0tDR8fHwYOHBgox+SLpbNFH9m7W0E0fvW29ubqqoqIiMjOXbsGI888ghPPPEE9957b7s/QMq0PHJm2sEwm80cPnyYnTt3smvXLk6fPk1UVJQ0jtOnT586N3LRqqqoqKjZUoBid6w472owGOzKWo21jBIRbzStNZfZXHThoVmoAAAgAElEQVQ6Henp6fj7+9c7FyxKIYoZfWOkEJuLIAjc+fkh1Do9C4Z7s/KkjQN5lUwcEMT5KhOpBRq2PTYMj1qjJWarjTs+P4TGYOHnh4fYfU/kZLGWOz4/RJC3K+cqDUR19mB6Undu7N1Z8r+12Gzc8OE+ega4s+LeAXbvN1qs/OuHE/xysoJAdwVl1QIOCujfxZkb4zpjUjixeNsZfnwogagu9tsggiAw/uP9hPq58dk9/e2+98i645wqreK3uUNb9DoRr8Ho6OhWNdIWvW/z8/N5+umnKSgooLq6mpkzZzJx4kQGDBjQbvPRMk1CLvNeCdhsNtLT00lOTiYlJYUTJ07QtWtXKXMFWLp0Ka+88grh4eEtvgdaW5VIpVKh0+lwdXW1c8j5q6d7s9lMZmYmVquVmJiYDpONiogPIsXFxcTGxuLtXb9K0MU0VAqxJaioqGDl7+msSDPj6eKIxSqwYHwUkwYESyIOT4wO58GLXFVS8yu5Z+Vh7hrcVRJLELEJAtNWHiavQs+mOUPYl6vmox1nOF1eja+bE8Mj/BnU3YfyKhOfJOfyzJgI4oK9KNYYyS7TkXZOy5H8SgwWGwqgb6CSa3t6MXFIOI6Wmkxt4dZiSqptfDK+s3S9iJWO7DIdtyw7wMIbo5iScEGv12C2MnzxLiYOCGbBjVEtcv5sNhtZWVlUV1fTu3fvNgtkarWauXPn4ufnxyOPPEJqaip79uwhNTWVnTt3tmqZNysri759+3L77bezdu3aVjvOVYIcTK9ERAuobdu28cknn1BYWEifPn0YNGgQw4cPJzExscn+qg09vuiQI6oSiSVQcfREzJzFTED0fOxo2aiomezt7U3En+LvTaX2Q4fYwOPq6mq3l9bUkZyqqioio2IYt+wwNkFg7QMD7WT8Zn19lLQiLb/NG4qHs30G+tZv2Xy1L5+ld/WxMwr/7o9zvLgpk9dvjeG2/jVjNzZBICW7gl/SStidU8F5nbnedSkdFPTq7EE3X1e2ZJQzLUbJ7Ot722V7lXoz17y7m3uHhDAzoZN0XkQbul/yBL46UsG2eUMJ9r2wZ7k9s5xH1x/ni2n965UlbCw6nY60tDRJ6autrsE//viDuXPnMn/+fKZOndrm1/4NN9yAXq8nLCxMDqbNR94zvRJRKBQ4OTmxfPly7rnnHubNm4dKpSIlJYXt27fz+uuvY7PZSExMbJIMYkOO7+bmhpubWx03GNH5xGazYbVacXJyom/fvh1ufk4QBAoLCykoKGgRhxyoOS9eXl54eXlJtnyiBV1xcTGnTp1qlBSiVqslPT3dbiTngWGhvL/9NMaLumEfHdWTu1f8wZd78pl7kQLRE6PDOZinYsF/M+jzkDddvF0o1Rp5d2sOQ8J8ubWWnZ+DQsHIXgGM7BWATRDYe7qCB78+xi39ujAmNhB3J0eCfVzp6uOKAzbmrzuEkwM8PH4wfp72TTzbMsux2ARu7NMFPz9vO11dnU7HnpRj9PJTkpdxlHO1uoa3nCzBy0VJQljzP5OioiLy8vKIi4trcMWhudhsNpYvX853333H+vXriY6O/vs3tTDr1q3D19eXpKQkaRRMpvWRM9PLEIvFQn5+Pj171pVuEwTBTgZx9+7dVFZWEh8fLyk11SeD2FKUlpaSnZ1N586dJccXcfRELPW5ubm1W5YqdsK6u7vTq1evNh0Nqi2FKI5ZXNzsBZCXl0dpaSlxcXF2DyJag4XrP9jLsHA/yZRb5Mnv09iZVc4vjw6l80WNPrnnq5n82SEiA91Z+X8DeOaHk+zOqeCHhxLoEXDpUuMLP2ew8XgJ259IwreW12llZSXH09J5OsVMUoQ/793ep857Z319lNzz1fxaz75nobpmrEfs1hW7hs9XqLjvh3P06eTI/BGBdvvRjbleLBYLGRkZAMTExLRZs5hKpeKRRx4hKCiI999/v83EPWqj0WgYPHgw27ZtY8WKFWRnZ8uZafORM9MrFaVSWW8ghZoMydvbm3HjxjFu3DjAXgbxqaeeoqCggNjYWIYPH87w4cOJiYlp9uiHyWQiMzMTQRAYPHiwXdYlOuSoVCpOnTplJ/knOuS0dnAVBIGioiLOnj1LVFRUqzagXIr69GPFfdfMzEx0Op304BEdHV1nT83LVcnUhBA+25XH6XKdnZXZ46PD2ZpRxkc7ztjZswH0CHDnnUlxzF1/nPu+qhGyf/r6iL8MpGVVRv57rISJA4KkQCpuMZSXl6NyD0VjzJJKxLVRV5vZd0bF/UND6/1cf00vBWo6iuFC1/AZnRNV5nPcMSyKoCAXu65h8Xrx8fH5S2UijUZDeno63bt3lyonbcHBgweZN28ezz33HHfddVe7PSwuXLiQGTNmSNURmbZDDqZXAZeSQUxOTubNN98kIyODHj16SJlrY2UQS0pKOH369CWH30WBftF9Qyz1qdVqcnNzJRHy2k1NLZkxigIWzs7ODB48uE3HWv4Ksewrlnzz8vKIjo7GarWSn59frxTivYnd+GpfPstT8nhrYpz0s7r7uzE1IYS1Bwq4a1AIvbvaO46Mju7EQ9eE8WlKHp08nOtVK6rN1wcKMVtt3De05qZce6Rk0KBBPLL+BJ29nBkeUfeh5H/ppX+WeOsXQvhfeim9g73o7u9W53U3JwdGRQfi5uRYpzSsVqspKCiQxEcuFq3Pz8+nuLi4jmRha2Kz2fjkk0/44Ycf+P777+nVq9ffv6mVSE1NZevWrRw5cqTd1nA10zHuKjJtilKpZODAgQwcOJDHH39c6nYUZRCPHTuGv7//38ogmkwmMjIycHBwaJSfp0KhwNPTE09PTzuHHJVKRXFxMZmZmZKMm/jVVI1jMdDXJ2DRETCZTJw8eRInJye72eC/kkK8MdKdH4+XcG9CEH26XQhmc0b2YHNaKYs2ZbBuxiCUtbI3i83GvjMqnBwVlOtMLNqYySsTYnB0qJtBVRktrDtUyPUxgfQIcJfOYUxMDH5+fpRqjezKruCBpNB63//zsWIiAz2I6VJ3rzxfpefEOW0dE3OrTWBrRhnX9grA7SJt4PquF7E0XFFRQU5ODtXV1bi6ukp2goIgtHp2WFFRwcMPP0xYWBi///57u2te79ixg9zcXGn+taqqCqvVSnp6OocPH27XtV0NyHumMnW4WAbx4MGDODs7S01NiYmJ/PTTT5SXlzN9+nRJeL8lEWXcVCpVk+Y6zWYzGRkZKBQKoqOj28xKqzGIAVI0Pm8IFouFgpLz3LH6JFF+jswd4GQnhZh8poqnNqTzzxsi+b+hF0p972zJZuXefN6ZGMtZlYGlO86QFO7H2xPj8Pewfwj6bFceS7afZt0DA3DUnMNqtRIbGyudw2XJuSzdcYZfHk2sI1eYr9Izdum+ekd1AD5NzuXDHWfYMm8YIb4XPsN9Z1RMX5PKe7f3Zlxc/RltfVRUVJCZmUl4eDjOzs51uoYbUhpuCvv37+fxxx9n4cKFTJ48uUN0qldXV6PRaKR/L168mNzcXJYtW9Yqf6NXEfKeqUzTUCgUhISEMHXqVKZOnSrJIO7evZvNmzczZ84cgoODSUhI4Pfff28RGcSLqc8hR2zeKSwsxGQy2TU1ubu7S8cXg1R4eLik9NSREHWJTSZTozJ6qKkq9AjpwoPXGFiy/TTK4D6E+jmiVqvJzs7GR6djQGclS7bnEB/kTO/ugfx6spyVe/OZMjiEm/rWdO929nLmlc1ZTP7sEC9PiOaayBp3Fp3Jwlf78hkW5k11YSbdu3e3+2ytNoF/Hz7HsJ5+9er+/phahAK4uW/d8y4IAv89Xszg7j52gRRg4/ESPJwdL+m1ejE2m40zZ86gVqvtnJAaUxpuygOWzWbjww8/ZNOmTWzYsKFD+Xy6u7vbVZA8PT1xdXWVA2kbIQfTBlJRUcGMGTP47bff6NSpE2+88QZTp05t72W1CaIMokKhYO/evXz11VeMHDmS/fv3k5yczJo1aygrK6Nfv35NkkFsCI6Ojvj7+0uNQ6JGqkqlkszEXV1dMZlMODo6dii5wtqITTXN9USdNqQbXx8o4O0tOXw7fZAkbycIAsERau5edYzn/nuKu6OyWXzIRGygMzMG1diLKZVKJsd3JTbIi6c3pPHQN8f4R1QnHhnZg13Z51FVm7k+WEm/fv3qlPd3Zp2nWGPkn2PrusdYbQI/HC1maE8/KvUWThaXU6o1oqo2ozFYKK40kHteT4iPK8uScwnydiHE15UeAe78drKUMbGBdUq89WEwGDhx4gT+/v4MHDiw3nNYX2lYHOGqqKjgzJkz2Gw2Oz/Tv+saLi8vZ/bs2fTq1Yvt27d3yOurNi+++GJ7L+GqQi7zNpApU6Zgs9lYsWIFqamp3HTTTezZs6dDuT60Nunp6XTt2rXeuUxRBlFUamqIDGJLUl5eTmZmJr6+vpKAgrOzs91cZ3vaz9lsNk6fPo1arSYuLq5F1G82nShh/oZ0Ft0UxV2DQuy+ty2zjLnrT+Dq5IC/uxMf39YDhbGqTsnc3dOb746W8WlKHtUmKw4KCPFS8tHUAUQEeuJwUXB5YPUR8ir0/G9uIupqC2cr9OSU6zhdXs2hPDUni6vqXaubkyNWmw2TVcDFUYHRWvdW0hChhtLSUnJycqT92+ZQW8VKLA27u7tL10zt0vCePXt48skneemll7jttts6RFlXps2QFZBaCp1Oh5+fHydOnCAqqkbi7N577yUkJIQ333yznVfXMaktg7hr1y6OHz9uJ4M4aNCgFmnYsFqtkrH4xVZuogC5qKdbWzShOU1NjUVU4QkMDKRHjx4tdiMWBIH7V6eSWVLFL48m2hlzn6s0cOuyA+hMVp66LpwZtdxX6pNCNAqOLDmk45T6ws93UTrQ3d8NH1clbs6OVOotHCvU4OOmxGC2YbRcEI9wc3JE6ajAaLYyc0QYEZ08CPF1JcjbBV93JyxWgZHv7ea6mE68eVscJouNYo2RsxXVvP5rFlqDhR1PDK+3oUlcc1ZWFkajkbi4uFb57GqXhisrK/nyyy85cOAAgYGBFBQU8M0339CvX78WP65Mh0cOpi3FkSNHSEpKQq/XS68tXryYnTt38vPPP7fjyi4fxBlFMbj+8ccfeHh4SJlrU2QQG1syFZuaxC+r1SplaLVFE1oKQRDIz8+nqKioUbq/jSGrVMfkzw4yNq4z70yqGZXJq6hmxpqjaI0WwvxcySjR8eW9Axhcj6qQxWLh5MmTnKs08syOKpK6OXNjd4EcrSPlZifK9GCwKtCbbRRVGlDrzVwXHUiIryuhfm6E+rkSHuiBIAiMXbqPmcPDeHx0eJ3jbEgtYsF/M1h9X7zdOooqDVz/wV5mXxPG3H/UfR9ceBgJDg6mW7dubZYVlpaW8vDDD+Pp6UloaCgHDx7EYDAwY8YMZs+e3SrHnDZtGtu2bUOn0xEUFMQzzzzDzJkzW+VYMg1GbkBqKaqqqqQZSREfHx+0Wm07rejyQ6FQ0LNnT3r27Ml9992HIAiUlZVJMohvvPEGVquVIUOGMHz48L+UQRQ1a7VaLf3792+w0kx9TU1ihpaeno7RaLTrjG2OWL2otOTh4cHgwYNbrcTcq7MHD10Txsc7c7kuphNBXi48uv44AvDltAF083PlnpWHeXT9cT67p7+dVZv4MBIWFsbnJ8tROupYNGkgQd6ukhSiqL+sMsL8nWYm9glg4U1RdZqm3tuaA8Cdg+oKJQiCwLcHCwnv5M6g7vZ/Rz+kFiEAEwfUFX8Qu8rz8/Pp3bs3Xl5edf5Pa5GSksL8+fN59dVXmTBhgnQdGAwGKioqWu24zz33HCtWrMDFxYWMjAxGjRpFfHw8gwYNarVjyrQMcjBtAJ6ennYt51CjtNKWf9xXGgqFgs6dOzN58mQmT55cRwZx+fLlaDQaBgwYYCeDmJKSQlZWFmPGjJE0a5uKo2ONMICfnx89e/aU9lpVKhWnT59Gp9Ph5uYmZa4NHa8Q5zKjoqIICGhYd2pzmDUijOSs8zz/00nMVoFgH1c+ndKPnp1q9mWXT+3P9DVHmLEmleVT+xEf6sOZM2c4f/48/fr142Chnq0Z5TwxOpwg75rsXNRfDg6uCXIvb8oARTU3hjtz7NgxOylEZw9v1v9RyJjYQLr61M3uUws0pBVpeWF8lN3nZbba+O7wOUZE+NPNz/6BSMyYHRwcSEhIaLP9bqvVyuLFi9mxYwcbN26UZjZFXF1dW1VZqXYPhkKhQKFQkJOTIwfTywA5mDaAqKgoLBYLWVlZksLJ0aNHr6rmo9amPhlEo9HI/v37SUlJ4YknnuD48eN4eHgwZcoUqqqqWnwwv7ZYvdgZK2Zotccrau+71r7Ji3ZzoqRiW+3JOjk68OZtcUxcfgAPF0fWPhBPoOeFTtMQX1dW3zeQB9YcYcbaVP4vzoVb+nZm0KBBVJttvLQplfBO7pLa0cUUVRr4T2oxkwYEk9S/RqqwthTiyr0n0BqtXBNo5OzZs5LvrfjgsXp/Pl4uSm6pJaoPsDWjjFKtiZdusm+eqqys5OTJk4SFhUnBvC0oKSlh1qxZxMfHs3Xr1nabTZ4zZw6rVq1Cr9cTHx/P+PHj22UdMo1D3jNtIHfffTcKhYIvvviC1NRUxo8f3+rdvB999BGrVq3i+PHjTJkyhVWrVrXasToyx44dY9asWdx2221cd9117N69m127dtnJICYlJbWJ6bKoSCQ2qQDSzGJxcTHh4eEEBQX9zU9pHTafKOHpDencOagrL95U160k40wBz2/K4WSFjUkDgpk/JoJ3t+bwnyNFfDN9IP27+dTzU2HRxgx+SC3ml0eH1pkPNZit3LC0xjz848m97CzonJycqHLwYM7PRcxICuXJ6y+M0wiCwJQvD6OqNvPLo4k4KBQIgkBeXh5lZWX07t27Vf0+L2bnzp08++yzvPHGG4wfP77du3WtVit79+5lx44dPPvssx1SdOQqQm5AakkqKiqYPn06W7ZsISAggDfffLPV50w3bNiAg4MDv/76K3q9/qoNpr/++ishISH06WPvTmKz2cjOziY5OZnk5GSOHj1KQECA1NSUkJDQ6hqtou6vOIpTe3ZRbGpqyxvze1tz+GLPWZ4ZE8H9w2pKlKKLiiAIREZFs3x3AV/szsPdyZEqk5XpSaE8fX3duVGArNIqJi4/yD1DuvHc2Lq6s6v35fPmb9l89X8DSOhhP6piNBp57oc0tudoWHytG94uCqnhK1uj4MFv03hhfBR3Dw7BZDKRlpaGh4dHi88o/xUWi4W33nqL3bt3s3btWmkmtaMwe/Zs4uLimDdvXnsv5WpGbkBqSfz9/fnxxx/b9JiTJk0C4NChQxQUFLTpsTsSY8eOrfd1BwcHoqKiiIqKYubMmVLDSnJyMj///DMvvPACTk5ODB06lKSkJIYNG4afn1+LBbfanqP9+/dHoVBI5U+VSiU5nnh6ekpl4dZ2yHlsdDhnVXre3pKDq5Mj4yI9pCYjsWT6+Ohw4oI9efL7NKBGS9fDWcm4uM7SPivUZI9v/JqNp4uSh6/tUedYGoOZ5bvySOzhWyeQAhRoLPyWVcm0Id24/ppeWCwWScXqgy2FeDtDtLOKzMwqysvLiYqKalO1nuLiYmbOnEliYiJbtmzpkNmfxWIhJyenvZch0wDkzPQyYMGCBRQUFFy1mWlTqS2DKHq7GgwGEhISJBH/psggimM+ZWVldTxH6/u/VVVV0kynTqfD1dXVziGnpbMwk9XGY98dZ2dWBdPiXHjipni7jueyKiPTVh6m2mTlmTER/HC0hH1nVACE+rnSL8SbyEAPijVG1v9xjvuGdmNcXGdsAhgtNqpNVqqMFn48WsS+M2pu7ReEm7MDBrMNs9WG1QaODgoOn1VTrjMxfVh3IgI96O7vRkSgOycKtTywJpWnrutJok+NkIS7uzsGg6FJDV9NYfv27fzrX//i7bffZuzYse1e1oWaUZzt27dz88034+bmxtatW5k0aRLffPMNt956a3sv72pGLvNeKcjBtOXQ6XSSDGJKSkqjZRD1ej1paWn4+voSHh7e6Ju9IAiSQ444dqJUKu1s1pqrFKXX6zly7ASfp1nZX6BnakII/xwbidLBgfM6EzPXpnK2Qs+X9w6Q9klLNEa2ZJRxMFfN8XMaijXGBh/P2dEBDxdHXJ0ccHJ0wFGhQGu0UF5lQumgwGKzv214ODvi6eLIq8Oc6NrlgpBF7Yavi8+N+NXcc2OxWHj99dc5cOAAa9asISQk5O/f1EaUlZVx++23c/ToUWw2G2FhYcybN48HH3ywvZd2tSMH0ysFOZi2HrVlEHft2kVOTg69evWSxnFEGUSbzcauXbtwdnYmJiamXknFpiJqxooOOYCdQ05jNGCLiorIy8sjJiYGL28f3tuWw8q9+fTp6sUjI3vw9m85FFUa+OiuviTV40UKNRq7M9emklqg4dUJMfi6O2ETBBwUCpwdFTg5Knhh4ynKq0z8+FACnb3t16czWpi4/CBOjg788FACFpvAuUoDeRXVbDhSxO+nzjOjjxMzRvf52/Monhux4aux7kG1OXfuHA8++CAjRoxg0aJFHcbXVqbDIwfTKwU5mLYdF8sgnjhxgoCAANRqNd27d+eLL75o9aam2nuLarUas9ls55Dj5uZWpyxZ23IuJibGLlD8L72UlzedQmMw4+zowPu392Zk1KW9XRdvyebLvfm8fHM0tw+sO1P55q9ZrN5fwJI7enNDbF27tOd+PMnPx4tZ9X/2akfF6mpu+fQA3bwcWfdgYpM6r+uTQhT3pP38/OoV2hAEga1bt7Jw4ULeffddxowZ0+jjylzVyMH0csdisWCxWHjppZcoKCjg888/R6lUtuoTtdFoZM6cOWzdupWKigoiIyN5/fXXufHGG1vtmB2ZjRs3Mn/+fG688Ua0Wq0kgzh06FBGjBjRJBnExmKz2dBqtVJpWK/XS16dfn5+WCwWMjMz/3Ius7zKxBu/nuKXtDI8nB2Z0K8LkwYE0zvYfu0r9pzl3a05TBkcwsLxUXV+zvo/Cnlp0ynuGRLC8+Pqfv+rffm89Vs2D1/bg7mjekqva7Rapq8+TI5a4N8PDiay86X3mRtD7T1pcSTH1dWVqqoqqqurSUxM5P333yc1NZXVq1e36dyqzBWDHEwvd1588UVeeuklu9cWLVrUqtZKOp2Od955h/vvv5/u3buzefNmpkyZwvHjx+nRo0erHbcjUlRUxOOPP87SpUvp3LkmA6stg5icnMz+/fux2WwkJCRIpeFLySC2FKIge0VFBYWFhej1ery9vQkICJCami6lGJRVWsXnu8+y5WQZRouNTp7OJPbwI6aLB0cLNWzNKGd0dCdenhCN+592aDYBTBYr6/44x9LfzzA4zJd/jY3EwaFGoUfpoMDD2ZGfj5eweGsON8QG8u7k3jg61OyDFhYWsnjbGX7Ls1wy221J9Ho9+/fv57PPPuPQoUM4Ojpy1113ce2115KUlCTZ+MnINBA5mMq0DP369WPRokVMnjy5vZfS4bhYBnH37t2SDKLYMRwWFtbiwVWv10sl6B49emAymeyamkSHHLGp6eKxj0q9ma0Z5ew9XcHBPDVlVaYWWZejAkL8XAkP8CDM3xVvi5oMlZUtpw3cm9iNf94Q2eqds4Ig8Ntvv7Fo0SKWLFlCfHw8e/fuZdeuXZSWlvLFF1+0ynHlqs4VixxMZZpPSUkJYWFhpKamEhMT097LuSwwGo0cOHBA2nctKCggNjZWylxjYmKapTVbu8noUg08okOO2NRUu3HHz8+vTlOTWm/mdJmO8zozFdUmDGYbJosNhaJGZtHZUYFNAHdnR1yUDjg5KqQOXLNVoNpkpUxrRGu0UKo1cbpMS26FAYsNIgPdGdLDj3+N61XHH7WlMZlMvPzyy6Snp/PVV1/RpUuXVj1ebeSqzhWLHExlmofZbObGG28kIiKC5cuXt/dyLlusVivHjh2TxnGaKoP4V01GDVmD2NSkUqkwmUx2TU3u7u4tkjGKM7jl5eVEx8ZRoLUR6OlMoFfDO5KbSn5+PjNnzmTcuHH885//bFczeBG5qnNFIAdTmaZjs9mYOnUqGo2Gn376qUOqw1yuNEUGsaKiglOnTtGjR48W0f612WySQ45araa6uhp3d3cpc60tVN9QjEYjaWlpeHl5ERER0WaSgIIgsHnzZl555RU+/PBDRo0a1SbH/Tvkqs4VgxxMZZqGIAhMnz6d3NxcNm/e3GC/UJmmUVsGMSUlhQMHDkgyiKLUnYuLC6+88kqrfRaCIFBdXS1lrqLWsDjP6ePj85eZXnl5OVlZWW1mOydiMpl44YUXyM7OZtWqVVKjWHsjV3WuKORgKtM0Zs+eTWpqKlu3bv1LqTyZ1kGUQfz+++955ZVXCAoKwmq1NlsGsbEYDAY7wQSxqUn8cnJykrLsqqoq+vTp0+quPbXJy8tj5syZTJgwgfnz53eIsi7IVZ0rEDmYyjSevLw8evTogYuLi92e3PLly7nnnnta9djTpk1j27Zt6HQ6goKCeOaZZ5g5c2arHrOjsmvXLubNm8enn37KkCFD7GQQxa7Uvn37Mnz48AbJILYEYlOT+GWxWDCZTPj7+xMZGdlmFQxBEPj55595/fXX+fjjj7nmmmva5LgNQa7qXJHIwVTm8iItLY3IyEhcXFzIyMhg1KhRbNq0iUGDBrX30toc0fzcy8ur3u83VAaxtSgqKiI3N5fQ0FDMZrOkRuTl5SVlrvWpETUXo9HI888/z9mzZ1m1ahWdOl1ayak9kKs6VyRyMJW5fMnMzGTUqFF88MEH3Hnnne29nA5PfTKIwcHBUlPToEGDGqVjeymsVisZGRnYbDZiY2PtAraoRiQ2Nel0uhZ1gTlz5gwzZ85k0qRJPPXUU23W4NRQ2rOqI9OqyMFU5vJjzpw5rFq1Cr1eT3x8PMnJyfITfhMQR1TE4NoSMoharZa0tDRCQ8bKd8sAAAdJSURBVEPp2rXr3763tguMSqVCq9Xi5ORkt+/akH1OQRD48ccfefvtt1m2bBlJSUkNXrOMTAsgB1OZyxOr1crevXvZsWMHzz77rNzA0QI0RwZREAQKCgooKiqid+/ezRL6NxqNdk1NgF1wvbiByWAw8Nxzz1FSUsKXX34pSwHKtAdyMJW5vJk9ezZxcXHMmzevvZdyxSHKIO7du5edO3eye/duKisriY+Pl0rDYWFhlJeXs379esaMGUOvXr1avGPWYrHUaWoS/Tyjo6N5+eWXmTJlCo899liHK+vKXDU0KJjKhn4yHRaLxUJOTk57L+OKRKFQ4O3tzdixYxk7dixwQQYxJSWFp59+mszMTIxGI7feeitWq7VV1qFUKunUqZPUSGSz2bDZbHz55Zd88MEHuLi4cPDgQZYvX87o0aOJjo5ulXV89NFHrFq1iuPHjzNlyhTZ7lCm0cjBVKZDUFpayvbt27n55ptxc3Nj69atfPvtt3zzzTdttoasrCz69u3L7bffztq1a9vsuB0FFxcXrrnmGpKSkrBarRgMBubPn09WVhZvv/02J0+ebJIMYmMwGo2sW7cOg8HA0aNH8fHxIS0tTSpPt1Yw7dq1KwsWLODXX39Fr9e3yjFkrmzkYCrTIVAoFCxbtozZs2djs9kICwtjyZIl3HrrrW22hkceeYSEhIQ2O15HpaioCIVCwZYtW6Su1Mcee8xOBnHlypWkpqb+rQxiYzh16hSzZs1i2rRpPProo1JZt2/fvvTt27dFfrdLMWnSJAAOHTpEQUFBqx5L5spE3jOVkQHWrVvHhg0biIuLIzs7+6rMTBvLxTKIBw8eRKlUMnToUJKSkhg2bBh+fn4N6vpdv349S5cu5fPPP2fw4MFt9BvUZcGCBRQUFMhlXpnayHumMjINQaPR8MILL7Bt2zZWrFjR3su5bFAoFISEhDBlyhSmTJkiySDu3r2b5ORklixZgl6vZ/DgwSQlJdUrg1hdXc38+fPR6XT8/vvvl7SUk5Hp6MjBVOaqZ+HChcyYMYPQ0ND2XspljUKhwN/fnwkTJjBhwgQAOxnEtWvX2skgBgcH89prrzF9+nRmz54td+vKXNbIwVTmqkaUfjty5Eh7L+WKxMPDg9GjRzN69GjAXgbx2WefZfXq1QwdOrSdVykj03zkYCpzVbNjxw5yc3Pp3r07UKOJa7VaSU9P5/Dhw+28uisPJycnEhMTSUxMZP78+e29HAmLxYLFYsFqtUqdzEqlslX1jWWuLOQGJJmrmurqajQajfTvxYsXk5uby7JlywgMDGz1448aNYp9+/ZJN+2QkBAyMzNb/bgy9rz44ou89NJLdq8tWrSIF198sX0WJNORkBWQZGQay4svvtim3byjRo1i2rRpV63VnIzMZYDczSsj01jkTERGRqYpyO1zMjLtzHPPPUenTp0YPnw4O3bsaO/lyMjINAG5zCsj047s37+fuLg4nJ2dWbduHY8++iipqalERES099JkZGRqaFCZV85MZWTaEdFX1MXFhfvuu4/hw4ezefPm9l7WZUdFRQUTJ07Ew8ODsLCwNtV0lpEBec9URqZDoVAoaGS1SIYaXWVnZ2dKSkpITU3lpptuon///vTu3bu9lyZzlSCXeWVk2gm1Ws3+/fsZOXIkSqWS9evXM2vWLA4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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -2050,17 +2257,19 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 67, "metadata": {}, "outputs": [ { "data": { - "image/png": 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"text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -2083,57 +2292,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### Change the view angle" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can change the perspective of a 3D plot using the `view_init` method, which takes two arguments: `elevation` and `azimuth` angle (in degrees):" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(figsize=(12,6))\n", + "\n", "\n", - "ax = fig.add_subplot(1,2,1, projection='3d')\n", - "ax.plot_surface(X, Y, Z, rstride=4, cstride=4, alpha=0.25)\n", - "ax.view_init(30, 45)\n", - "\n", - "ax = fig.add_subplot(1,2,2, projection='3d')\n", - "ax.plot_surface(X, Y, Z, rstride=4, cstride=4, alpha=0.25)\n", - "ax.view_init(70, 30)\n", + "## Further reading\n", "\n", - "fig.tight_layout()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Further reading" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ "* http://www.matplotlib.org - The project web page for matplotlib.\n", "* https://github.com/matplotlib/matplotlib - The source code for matplotlib.\n", "* http://matplotlib.org/gallery.html - A large gallery showcaseing various types of plots matplotlib can create. Highly recommended! \n", @@ -2145,13 +2307,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Other tutorials" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "## Other tutorials\n", + "\n", "* http://matplotlib.org/users/beginner.html - Beginners guide to matplotlib.\n", "* https://www.labri.fr/perso/nrougier/teaching/matplotlib/ - Matplotlib tutorial.\n", "* http://www.scipy-lectures.org/intro/matplotlib/matplotlib.html - Scipy lecture on matplotlib.\n", @@ -2162,12 +2321,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "## Versions" ] }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 68, "metadata": { "scrolled": false }, @@ -2178,11 +2339,11 @@ "Software versions": [ { "module": "Python", - "version": "3.6.4 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]" + "version": "3.7.0 64bit [Clang 6.1.0 (clang-602.0.53)]" }, { "module": "IPython", - "version": "6.2.1" + "version": "7.0.1" }, { "module": "OS", @@ -2190,45 +2351,45 @@ }, { "module": "numpy", - "version": "1.14.0" + "version": "1.15.2" }, { "module": "scipy", - "version": "1.0.0" + "version": "The 'scipy' distribution was not found and is required by the application" }, { "module": "matplotlib", - "version": "2.1.2" + "version": "3.0.0" } ] }, "text/html": [ - "
SoftwareVersion
Python3.6.4 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]
IPython6.2.1
OSDarwin 16.7.0 x86_64 i386 64bit
numpy1.14.0
scipy1.0.0
matplotlib2.1.2
Tue Feb 20 09:37:04 2018 PST
" + "
SoftwareVersion
Python3.7.0 64bit [Clang 6.1.0 (clang-602.0.53)]
IPython7.0.1
OSDarwin 16.7.0 x86_64 i386 64bit
numpy1.15.2
scipyThe 'scipy' distribution was not found and is required by the application
matplotlib3.0.0
Tue Nov 06 16:12:54 2018 PST
" ], "text/latex": [ "\\begin{tabular}{|l|l|}\\hline\n", "{\\bf Software} & {\\bf Version} \\\\ \\hline\\hline\n", - "Python & 3.6.4 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE\\_401/final)] \\\\ \\hline\n", - "IPython & 6.2.1 \\\\ \\hline\n", + "Python & 3.7.0 64bit [Clang 6.1.0 (clang-602.0.53)] \\\\ \\hline\n", + "IPython & 7.0.1 \\\\ \\hline\n", "OS & Darwin 16.7.0 x86\\_64 i386 64bit \\\\ \\hline\n", - "numpy & 1.14.0 \\\\ \\hline\n", - "scipy & 1.0.0 \\\\ \\hline\n", - "matplotlib & 2.1.2 \\\\ \\hline\n", - "\\hline \\multicolumn{2}{|l|}{Tue Feb 20 09:37:04 2018 PST} \\\\ \\hline\n", + "numpy & 1.15.2 \\\\ \\hline\n", + "scipy & The 'scipy' distribution was not found and is required by the application \\\\ \\hline\n", + "matplotlib & 3.0.0 \\\\ \\hline\n", + "\\hline \\multicolumn{2}{|l|}{Tue Nov 06 16:12:54 2018 PST} \\\\ \\hline\n", "\\end{tabular}\n" ], "text/plain": [ "Software versions\n", - "Python 3.6.4 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]\n", - "IPython 6.2.1\n", + "Python 3.7.0 64bit [Clang 6.1.0 (clang-602.0.53)]\n", + "IPython 7.0.1\n", "OS Darwin 16.7.0 x86_64 i386 64bit\n", - "numpy 1.14.0\n", - "scipy 1.0.0\n", - "matplotlib 2.1.2\n", - "Tue Feb 20 09:37:04 2018 PST" + "numpy 1.15.2\n", + "scipy The 'scipy' distribution was not found and is required by the application\n", + "matplotlib 3.0.0\n", + "Tue Nov 06 16:12:54 2018 PST" ] }, - "execution_count": 66, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } @@ -2264,7 +2425,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.0" } }, "nbformat": 4, From 363ba1299258467580056b4997179548b4fa75cf Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Wed, 7 Nov 2018 14:47:30 -0800 Subject: [PATCH 44/78] updates after class --- lessons/lesson12.ipynb | 1936 ++++++++++++++++++++++++++++++---------- 1 file changed, 1475 insertions(+), 461 deletions(-) diff --git a/lessons/lesson12.ipynb b/lessons/lesson12.ipynb index 3922281..d1c2ec6 100644 --- a/lessons/lesson12.ipynb +++ b/lessons/lesson12.ipynb @@ -26,6 +26,7 @@ "* [values](#values)\n", "* [apply](#apply)\n", "* [lambda](#lambda)\n", + "* [map](#map)\n", "* [sort_index](#sort_index)\n", "* [sort_values](#sort_values)\n", "* [isnull](#isnull)\n", @@ -49,7 +50,7 @@ "source": [ "\n", "\n", - "### Merging, joining, and concatenating DataFrames\n", + "### Concatenating (appending) and merging (joining) DataFrames\n", "See [pandas documentation](http://pandas.pydata.org/pandas-docs/stable/merging.html) for more information." ] }, @@ -61,7 +62,7 @@ "\n", "Action | Combine two | Add one to another\n", "--------------|----------------------|-------------------\n", - "Concatenating | pd.concat([df1, df2) | df1.append(df2)\n", + "Concatenating | pd.concat([df1, df2]) | df1.append(df2)\n", "Merging | pd.merge(df1, df2) | df1.join(df2)" ] }, @@ -1780,6 +1781,122 @@ { "cell_type": "code", "execution_count": 19, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " A B C D\n", + "0 A0 B0 C0 D0\n", + "1 A1 B1 C1 D1\n", + "2 A2 B2 C2 D2\n", + "3 A3 B3 C3 D3\n", + "4 A4 B4 C4 D4\n", + "5 A5 B5 C5 D5\n", + "6 A6 B6 C6 D6\n", + "7 A7 B7 C7 D7" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df1.append(df2, sort=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -1905,7 +2022,7 @@ "7 NaN B7 NaN D7 F7" ] }, - "execution_count": 19, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -1942,7 +2059,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -1956,7 +2073,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -2022,7 +2139,7 @@ "3 K3 A3 B3" ] }, - "execution_count": 21, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -2033,7 +2150,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -2099,7 +2216,7 @@ "3 K0 C3 D3" ] }, - "execution_count": 22, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -2110,7 +2227,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -2186,7 +2303,7 @@ "3 K3 A3 B3 C0 D0" ] }, - "execution_count": 23, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -2198,7 +2315,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -2214,7 +2331,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -2285,7 +2402,7 @@ "3 K2 K1 A3 B3" ] }, - "execution_count": 25, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -2296,7 +2413,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -2367,7 +2484,7 @@ "3 K2 K0 C3 D3" ] }, - "execution_count": 26, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -2378,7 +2495,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -2449,7 +2566,7 @@ "2 K1 K0 A2 B2 C2 D2" ] }, - "execution_count": 27, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -2462,7 +2579,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The how argument to merge specifies how to determine which keys are to be included in the resulting table. If a key combination does not appear in either the left or right tables, the values in the joined table will be NA. Here is a summary of the how options and their SQL equivalent names:\n", + "The `how` argument to merge specifies how to determine which keys are to be included in the resulting table. If a key combination does not appear in either the left or right tables, the values in the joined table will be NA. Here is a summary of the how options and their SQL equivalent names:\n", "\n", "Merge method | SQL Join Name | Description\n", "--------------- | ---------------- | -----------\n", @@ -2474,7 +2591,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "metadata": { "scrolled": false }, @@ -2567,7 +2684,7 @@ "4 K2 K1 A3 B3 NaN NaN" ] }, - "execution_count": 28, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -2578,7 +2695,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -2659,7 +2776,7 @@ "3 K2 K0 NaN NaN C3 D3" ] }, - "execution_count": 29, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -2671,7 +2788,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -2772,7 +2889,7 @@ "5 K2 K0 NaN NaN C3 D3" ] }, - "execution_count": 30, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -2784,7 +2901,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -2855,7 +2972,7 @@ "2 K1 K0 A2 B2 C2 D2" ] }, - "execution_count": 31, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -2867,7 +2984,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 33, "metadata": { "scrolled": true }, @@ -2880,7 +2997,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -2929,7 +3046,7 @@ "1 1 b" ] }, - "execution_count": 33, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -2940,7 +3057,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -2995,7 +3112,7 @@ "2 2 2" ] }, - "execution_count": 34, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -3006,7 +3123,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -3077,7 +3194,7 @@ "3 2 NaN 2.0 right_only" ] }, - "execution_count": 35, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -3101,7 +3218,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -3115,7 +3232,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -3170,7 +3287,7 @@ "K2 A2 B2" ] }, - "execution_count": 37, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -3181,7 +3298,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -3236,7 +3353,7 @@ "K3 C3 D3" ] }, - "execution_count": 38, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -3247,7 +3364,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -3310,7 +3427,7 @@ "K2 A2 B2 C2 D2" ] }, - "execution_count": 39, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -3321,7 +3438,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -3384,7 +3501,7 @@ "K3 NaN NaN C3 D3" ] }, - "execution_count": 40, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -3395,7 +3512,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -3450,7 +3567,7 @@ "K2 A2 B2 C2 D2" ] }, - "execution_count": 41, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -3461,7 +3578,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 43, "metadata": { "scrolled": true }, @@ -3534,7 +3651,7 @@ "K3 NaN NaN C3 D3" ] }, - "execution_count": 42, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -3545,7 +3662,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 44, "metadata": {}, "outputs": [], "source": [ @@ -3556,7 +3673,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 45, "metadata": { "scrolled": true }, @@ -3613,7 +3730,7 @@ "2 K2 3" ] }, - "execution_count": 44, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -3624,7 +3741,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -3679,7 +3796,7 @@ "2 K3 6" ] }, - "execution_count": 45, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -3690,7 +3807,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -3742,7 +3859,7 @@ "1 K0 1 5" ] }, - "execution_count": 46, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -3754,7 +3871,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 48, "metadata": { "scrolled": true }, @@ -3808,7 +3925,7 @@ "1 K0 1 5" ] }, - "execution_count": 47, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -3820,7 +3937,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ @@ -3831,7 +3948,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -3886,7 +4003,7 @@ "2 cds6 459" ] }, - "execution_count": 49, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -3897,7 +4014,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 51, "metadata": {}, "outputs": [ { @@ -3970,7 +4087,7 @@ "5 cds6 kinase" ] }, - "execution_count": 50, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -3981,7 +4098,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 52, "metadata": {}, "outputs": [], "source": [ @@ -3990,7 +4107,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -4049,7 +4166,7 @@ "2 cds6 459 kinase" ] }, - "execution_count": 52, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -4060,7 +4177,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 54, "metadata": {}, "outputs": [], "source": [ @@ -4070,7 +4187,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -4129,7 +4246,7 @@ "2 cds6 459 kinase" ] }, - "execution_count": 54, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -4147,7 +4264,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -4171,29 +4288,24 @@ " \n", " \n", " \n", - " gene\n", " count\n", " \n", " \n", " gene\n", " \n", - " \n", " \n", " \n", " \n", " \n", " cds1\n", - " cds1\n", " 345\n", " \n", " \n", " cds3\n", - " cds3\n", " 887\n", " \n", " \n", " cds6\n", - " cds6\n", " 459\n", " \n", " \n", @@ -4201,26 +4313,27 @@ "" ], "text/plain": [ - " gene count\n", - "gene \n", - "cds1 cds1 345\n", - "cds3 cds3 887\n", - "cds6 cds6 459" + " count\n", + "gene \n", + "cds1 345\n", + "cds3 887\n", + "cds6 459" ] }, - "execution_count": 55, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } ], "source": [ "degs.index = degs.gene\n", + "degs.drop('gene', axis=1, inplace=True)\n", "degs" ] }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 57, "metadata": {}, "outputs": [ { @@ -4244,44 +4357,36 @@ " \n", " \n", " \n", - " gene\n", " description\n", " \n", " \n", " gene\n", " \n", - " \n", " \n", " \n", " \n", " \n", " cds1\n", - " cds1\n", " primase\n", " \n", " \n", " cds2\n", - " cds2\n", " ligase\n", " \n", " \n", " cds3\n", - " cds3\n", " aldolase\n", " \n", " \n", " cds4\n", - " cds4\n", " amylase\n", " \n", " \n", " cds5\n", - " cds5\n", " polymerase\n", " \n", " \n", " cds6\n", - " cds6\n", " kinase\n", " \n", " \n", @@ -4289,29 +4394,30 @@ "" ], "text/plain": [ - " gene description\n", - "gene \n", - "cds1 cds1 primase\n", - "cds2 cds2 ligase\n", - "cds3 cds3 aldolase\n", - "cds4 cds4 amylase\n", - "cds5 cds5 polymerase\n", - "cds6 cds6 kinase" + " description\n", + "gene \n", + "cds1 primase\n", + "cds2 ligase\n", + "cds3 aldolase\n", + "cds4 amylase\n", + "cds5 polymerase\n", + "cds6 kinase" ] }, - "execution_count": 56, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "names.index = names.gene\n", + "names.drop('gene', axis=1, inplace=True)\n", "names" ] }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -4335,39 +4441,29 @@ " \n", " \n", " \n", - " gene_x\n", " count\n", - " gene_y\n", " description\n", " \n", " \n", " gene\n", " \n", " \n", - " \n", - " \n", " \n", " \n", " \n", " \n", " cds1\n", - " cds1\n", " 345\n", - " cds1\n", " primase\n", " \n", " \n", " cds3\n", - " cds3\n", " 887\n", - " cds3\n", " aldolase\n", " \n", " \n", " cds6\n", - " cds6\n", " 459\n", - " cds6\n", " kinase\n", " \n", " \n", @@ -4375,14 +4471,14 @@ "" ], "text/plain": [ - " gene_x count gene_y description\n", - "gene \n", - "cds1 cds1 345 cds1 primase\n", - "cds3 cds3 887 cds3 aldolase\n", - "cds6 cds6 459 cds6 kinase" + " count description\n", + "gene \n", + "cds1 345 primase\n", + "cds3 887 aldolase\n", + "cds6 459 kinase" ] }, - "execution_count": 57, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -4409,7 +4505,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 59, "metadata": {}, "outputs": [], "source": [ @@ -4419,7 +4515,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 60, "metadata": {}, "outputs": [], "source": [ @@ -4429,7 +4525,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -4523,7 +4619,7 @@ "[116 rows x 1 columns]" ] }, - "execution_count": 60, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } @@ -4534,7 +4630,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 62, "metadata": {}, "outputs": [], "source": [ @@ -4543,7 +4639,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 63, "metadata": {}, "outputs": [ { @@ -4584,7 +4680,7 @@ "0 San Diego Padres" ] }, - "execution_count": 62, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } @@ -4602,7 +4698,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 64, "metadata": {}, "outputs": [ { @@ -4696,7 +4792,7 @@ "[117 rows x 1 columns]" ] }, - "execution_count": 63, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -4715,7 +4811,27 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "117" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2.shape[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 66, "metadata": {}, "outputs": [], "source": [ @@ -4725,7 +4841,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -4843,7 +4959,7 @@ "[117 rows x 3 columns]" ] }, - "execution_count": 65, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -4863,7 +4979,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 68, "metadata": {}, "outputs": [ { @@ -4883,7 +4999,7 @@ "Length: 351, dtype: object" ] }, - "execution_count": 66, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } @@ -4895,7 +5011,27 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "pandas.core.series.Series" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(stack_df)" + ] + }, + { + "cell_type": "code", + "execution_count": 70, "metadata": {}, "outputs": [ { @@ -4907,7 +5043,7 @@ "dtype: object" ] }, - "execution_count": 67, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -4918,7 +5054,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 71, "metadata": {}, "outputs": [ { @@ -4927,7 +5063,7 @@ "'Chicago Cubs'" ] }, - "execution_count": 68, + "execution_count": 71, "metadata": {}, "output_type": "execute_result" } @@ -4938,7 +5074,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 72, "metadata": {}, "outputs": [ { @@ -5038,7 +5174,7 @@ "[351 rows x 1 columns]" ] }, - "execution_count": 69, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } @@ -5058,7 +5194,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 73, "metadata": {}, "outputs": [ { @@ -5078,7 +5214,7 @@ "Length: 351, dtype: object" ] }, - "execution_count": 70, + "execution_count": 73, "metadata": {}, "output_type": "execute_result" } @@ -5090,7 +5226,27 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 74, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "pandas.core.series.Series" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(unstack_df)" + ] + }, + { + "cell_type": "code", + "execution_count": 75, "metadata": {}, "outputs": [ { @@ -5099,7 +5255,7 @@ "'Chicago Cubs'" ] }, - "execution_count": 71, + "execution_count": 75, "metadata": {}, "output_type": "execute_result" } @@ -5110,7 +5266,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -5208,7 +5364,7 @@ "[351 rows x 1 columns]" ] }, - "execution_count": 72, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } @@ -5226,7 +5382,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 77, "metadata": {}, "outputs": [], "source": [ @@ -5235,7 +5391,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 78, "metadata": { "scrolled": true }, @@ -5526,7 +5682,7 @@ "[7 rows x 31 columns]" ] }, - "execution_count": 74, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } @@ -5537,7 +5693,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 79, "metadata": {}, "outputs": [], "source": [ @@ -5546,7 +5702,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 80, "metadata": {}, "outputs": [ { @@ -5725,7 +5881,7 @@ "[31 rows x 7 columns]" ] }, - "execution_count": 76, + "execution_count": 80, "metadata": {}, "output_type": "execute_result" } @@ -5736,7 +5892,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 81, "metadata": {}, "outputs": [ { @@ -5753,7 +5909,7 @@ "dtype: object" ] }, - "execution_count": 77, + "execution_count": 81, "metadata": {}, "output_type": "execute_result" } @@ -5764,7 +5920,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 82, "metadata": {}, "outputs": [], "source": [ @@ -5775,7 +5931,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 83, "metadata": {}, "outputs": [], "source": [ @@ -5784,7 +5940,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 84, "metadata": {}, "outputs": [], "source": [ @@ -5794,7 +5950,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 85, "metadata": {}, "outputs": [ { @@ -5973,7 +6129,7 @@ "[31 rows x 7 columns]" ] }, - "execution_count": 81, + "execution_count": 85, "metadata": {}, "output_type": "execute_result" } @@ -5984,7 +6140,37 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 86, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "subject_id\n", + "computer_has object\n", + "computer_os object\n", + "score_command int64\n", + "score_r int64\n", + "score_matlab int64\n", + "score_perl int64\n", + "score_python int64\n", + "dtype: object" + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 87, "metadata": { "scrolled": false }, @@ -6128,7 +6314,7 @@ "[31 rows x 5 columns]" ] }, - "execution_count": 82, + "execution_count": 87, "metadata": {}, "output_type": "execute_result" } @@ -6138,140 +6324,173 @@ "df.iloc[:,2:]" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### df.stack() and df.unstack() (again)" + ] + }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 88, "metadata": { - "scrolled": false + "scrolled": true }, "outputs": [ { "data": { "text/plain": [ - "subject_id\n", - "computer_has object\n", - "computer_os object\n", - "score_command int64\n", - "score_r int64\n", - "score_matlab int64\n", - "score_perl int64\n", - "score_python int64\n", - "dtype: object" + " subject_id \n", + "861167 score_command 1\n", + " score_r 1\n", + " score_matlab 1\n", + " score_perl 0\n", + " score_python 1\n", + " ..\n", + "318480 score_command 1\n", + " score_r 1\n", + " score_matlab 0\n", + " score_perl 0\n", + " score_python 0\n", + "Length: 155, dtype: int64" ] }, - "execution_count": 83, + "execution_count": 88, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.dtypes" + "df.iloc[:,2:].stack()" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "subject_id \n", + "score_command 861167 1\n", + " 346538 1\n", + " 473138 2\n", + " 268370 1\n", + " 21801 2\n", + " ..\n", + "score_python 189753 1\n", + " 783121 0\n", + " 474873 1\n", + " 481858 1\n", + " 318480 0\n", + "Length: 155, dtype: int64" + ] + }, + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.iloc[:,2:].unstack()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### df.stack() and df.unstack() (again)" + "\n", + "\n", + "#### values" ] }, { "cell_type": "code", - "execution_count": 84, - "metadata": { - "scrolled": true - }, + "execution_count": 90, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - " subject_id \n", - "861167 computer_has Yes\n", - " computer_os Mac\n", - " score_command 1\n", - " score_r 1\n", - " score_matlab 1\n", - " ... \n", - "318480 score_command 1\n", - " score_r 1\n", - " score_matlab 0\n", - " score_perl 0\n", - " score_python 0\n", - "Length: 217, dtype: object" + "861167 1\n", + "346538 1\n", + "473138 2\n", + "268370 1\n", + "21801 2\n", + " ..\n", + "189753 3\n", + "783121 0\n", + "474873 2\n", + "481858 1\n", + "318480 1\n", + "Name: score_command, Length: 31, dtype: int64" ] }, - "execution_count": 84, + "execution_count": 90, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.stack()" + "# sometimes you need the values of a DataFrame, not the DataFrame representation of it\n", + "\n", + "df.score_command" ] }, { "cell_type": "code", - "execution_count": 85, - "metadata": { - "scrolled": true - }, + "execution_count": 91, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "subject_id \n", - "computer_has 861167 Yes\n", - " 346538 Yes\n", - " 473138 Yes\n", - " 268370 Yes\n", - " 21801 Yes\n", - " ... \n", - "score_python 189753 1\n", - " 783121 0\n", - " 474873 1\n", - " 481858 1\n", - " 318480 0\n", - "Length: 217, dtype: object" + "array([1, 1, 2, 1, 2, 1, 1, 1, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 1, 1, 0,\n", + " 0, 0, 1, 1, 3, 0, 2, 1, 1])" ] }, - "execution_count": 85, + "execution_count": 91, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.unstack()" + "df.score_command.values" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "\n", - "\n", - "#### values" + "#### value_counts" ] }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 92, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([1, 1, 2, 1, 2, 1, 1, 1, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 1, 1, 0,\n", - " 0, 0, 1, 1, 3, 0, 2, 1, 1])" + "1 18\n", + "2 6\n", + "0 6\n", + "3 1\n", + "Name: score_command, dtype: int64" ] }, - "execution_count": 86, + "execution_count": 92, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Sometimes you need the values of a DataFrame, not the DataFrame representation of it\n", - "df.score_command.values" + "df.score_command.value_counts()" ] }, { @@ -6286,7 +6505,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 93, "metadata": {}, "outputs": [], "source": [ @@ -6295,7 +6514,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 94, "metadata": {}, "outputs": [], "source": [ @@ -6304,7 +6523,7 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 95, "metadata": { "scrolled": false }, @@ -6321,7 +6540,7 @@ "dtype: int64" ] }, - "execution_count": 89, + "execution_count": 95, "metadata": {}, "output_type": "execute_result" } @@ -6332,9 +6551,9 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 96, "metadata": { - "scrolled": true + "scrolled": false }, "outputs": [ { @@ -6347,7 +6566,7 @@ "Name: score_command, dtype: int64" ] }, - "execution_count": 90, + "execution_count": 96, "metadata": {}, "output_type": "execute_result" } @@ -6358,7 +6577,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 97, "metadata": { "scrolled": true }, @@ -6436,7 +6655,7 @@ "3 1 1 5 NaN NaN" ] }, - "execution_count": 91, + "execution_count": 97, "metadata": {}, "output_type": "execute_result" } @@ -6449,15 +6668,667 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n", - "\n", + "\n", "\n", - "#### sort_index, sort_values" + "#### map" ] }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 98, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "subject_id\n", + "computer_has object\n", + "computer_os object\n", + "score_command int64\n", + "score_r int64\n", + "score_matlab int64\n", + "score_perl int64\n", + "score_python int64\n", + "dtype: object" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [], + "source": [ + "# We can change the Y/N strings to boolean True/False using a dict and map\n", + "yn_tf = {'Yes': True, 'No': False}\n", + "df['computer_has'] = df['computer_has'].map(yn_tf)" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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........................
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31 rows Γ— 7 columns

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" + ], + "text/plain": [ + "subject_id computer_has computer_os score_command score_matlab \\\n", + "861167 True Mac 1 1 \n", + "346538 True Windows;Unix 1 2 \n", + "473138 True Mac 2 3 \n", + "268370 True Mac 1 0 \n", + "21801 True Mac 2 0 \n", + "... ... ... ... ... \n", + "189753 True Mac;Windows;Unix 3 3 \n", + "783121 True Mac 0 0 \n", + "474873 True Mac;Unix 2 1 \n", + "481858 True Mac 1 0 \n", + "318480 True Mac 1 0 \n", + "\n", + "subject_id score_perl score_python score_r \n", + "861167 0 1 1 \n", + "346538 0 2 1 \n", + "473138 0 2 0 \n", + "268370 0 1 1 \n", + "21801 0 1 1 \n", + "... ... ... ... \n", + "189753 0 1 0 \n", + "783121 0 0 1 \n", + "474873 0 1 2 \n", + "481858 0 1 2 \n", + "318480 0 0 1 \n", + "\n", + "[31 rows x 7 columns]" + ] + }, + "execution_count": 103, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.sort_index(axis=1, ascending=True, inplace=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 104, "metadata": {}, "outputs": [ { @@ -6492,18 +7363,8 @@ " \n", " \n", " \n", - " 165235\n", - " Yes\n", - " Mac\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " \n", - " \n", " 189753\n", - " Yes\n", + " True\n", " Mac;Windows;Unix\n", " 3\n", " 0\n", @@ -6512,33 +7373,43 @@ " 1\n", " \n", " \n", - " 21801\n", - " Yes\n", + " 473138\n", + " True\n", " Mac\n", " 2\n", - " 1\n", " 0\n", + " 3\n", + " 0\n", + " 2\n", + " \n", + " \n", + " 463808\n", + " True\n", + " Mac;Windows\n", + " 1\n", + " 1\n", + " 3\n", " 0\n", " 1\n", " \n", " \n", - " 232211\n", - " Yes\n", - " Mac\n", - " 2\n", + " 442558\n", + " True\n", + " Windows\n", " 0\n", " 0\n", + " 3\n", + " 0\n", " 0\n", - " 2\n", " \n", " \n", - " 268370\n", - " Yes\n", + " 630741\n", + " True\n", " Mac\n", - " 1\n", - " 1\n", " 0\n", " 0\n", + " 3\n", + " 0\n", " 1\n", " \n", " \n", @@ -6552,54 +7423,54 @@ " ...\n", " \n", " \n", - " 861167\n", - " Yes\n", + " 47263\n", + " True\n", " Mac\n", - " 1\n", - " 1\n", + " 2\n", " 1\n", " 0\n", + " 0\n", " 1\n", " \n", " \n", - " 874782\n", - " Yes\n", - " Windows;Unix\n", - " 2\n", + " 980220\n", + " True\n", + " Windows\n", " 1\n", + " 2\n", + " 0\n", " 1\n", " 0\n", - " 2\n", " \n", " \n", - " 944438\n", - " Yes\n", + " 21801\n", + " True\n", " Mac\n", - " 0\n", - " 0\n", " 2\n", + " 1\n", + " 0\n", " 0\n", " 1\n", " \n", " \n", - " 980220\n", - " Yes\n", - " Windows\n", + " 268370\n", + " True\n", + " Mac\n", " 1\n", - " 2\n", - " 0\n", " 1\n", " 0\n", + " 0\n", + " 1\n", " \n", " \n", - " 996203\n", - " Yes\n", + " 318480\n", + " True\n", " Mac\n", " 1\n", - " 0\n", " 1\n", " 0\n", - " 1\n", + " 0\n", + " 0\n", " \n", " \n", "\n", @@ -6607,47 +7478,47 @@ "" ], "text/plain": [ - "subject_id computer_has computer_os score_command score_r \\\n", - "165235 Yes Mac 0 0 \n", - "189753 Yes Mac;Windows;Unix 3 0 \n", - "21801 Yes Mac 2 1 \n", - "232211 Yes Mac 2 0 \n", - "268370 Yes Mac 1 1 \n", - "... ... ... ... ... \n", - "861167 Yes Mac 1 1 \n", - "874782 Yes Windows;Unix 2 1 \n", - "944438 Yes Mac 0 0 \n", - "980220 Yes Windows 1 2 \n", - "996203 Yes Mac 1 0 \n", + "subject_id computer_has computer_os score_command score_r \\\n", + "189753 True Mac;Windows;Unix 3 0 \n", + "473138 True Mac 2 0 \n", + "463808 True Mac;Windows 1 1 \n", + "442558 True Windows 0 0 \n", + "630741 True Mac 0 0 \n", + "... ... ... ... ... \n", + "47263 True Mac 2 1 \n", + "980220 True Windows 1 2 \n", + "21801 True Mac 2 1 \n", + "268370 True Mac 1 1 \n", + "318480 True Mac 1 1 \n", "\n", "subject_id score_matlab score_perl score_python \n", - "165235 0 0 0 \n", "189753 3 0 1 \n", - "21801 0 0 1 \n", - "232211 0 0 2 \n", - "268370 0 0 1 \n", + "473138 3 0 2 \n", + "463808 3 0 1 \n", + "442558 3 0 0 \n", + "630741 3 0 1 \n", "... ... ... ... \n", - "861167 1 0 1 \n", - "874782 1 0 2 \n", - "944438 2 0 1 \n", + "47263 0 0 1 \n", "980220 0 1 0 \n", - "996203 1 0 1 \n", + "21801 0 0 1 \n", + "268370 0 0 1 \n", + "318480 0 0 0 \n", "\n", "[31 rows x 7 columns]" ] }, - "execution_count": 92, + "execution_count": 104, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.sort_index(axis=0, ascending=True, inplace=False)" + "df.sort_values('score_matlab', axis=0, ascending=False, inplace=False)" ] }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 105, "metadata": {}, "outputs": [ { @@ -6682,18 +7553,18 @@ " \n", " \n", " \n", - " 189753\n", - " Yes\n", - " Mac;Windows;Unix\n", - " 3\n", - " 0\n", + " 463808\n", + " True\n", + " Mac;Windows\n", + " 1\n", + " 1\n", " 3\n", " 0\n", " 1\n", " \n", " \n", " 473138\n", - " Yes\n", + " True\n", " Mac\n", " 2\n", " 0\n", @@ -6702,18 +7573,18 @@ " 2\n", " \n", " \n", - " 463808\n", - " Yes\n", - " Mac;Windows\n", - " 1\n", - " 1\n", + " 630741\n", + " True\n", + " Mac\n", + " 0\n", + " 0\n", " 3\n", " 0\n", " 1\n", " \n", " \n", " 442558\n", - " Yes\n", + " True\n", " Windows\n", " 0\n", " 0\n", @@ -6722,10 +7593,10 @@ " 0\n", " \n", " \n", - " 630741\n", - " Yes\n", - " Mac\n", - " 0\n", + " 189753\n", + " True\n", + " Mac;Windows;Unix\n", + " 3\n", " 0\n", " 3\n", " 0\n", @@ -6742,51 +7613,51 @@ " ...\n", " \n", " \n", - " 47263\n", - " Yes\n", + " 783121\n", + " True\n", " Mac\n", - " 2\n", + " 0\n", " 1\n", " 0\n", " 0\n", - " 1\n", + " 0\n", " \n", " \n", - " 980220\n", - " Yes\n", - " Windows\n", + " 318480\n", + " True\n", + " Mac\n", " 1\n", - " 2\n", - " 0\n", " 1\n", " 0\n", + " 0\n", + " 0\n", " \n", " \n", - " 21801\n", - " Yes\n", + " 232211\n", + " True\n", " Mac\n", " 2\n", - " 1\n", " 0\n", " 0\n", - " 1\n", + " 0\n", + " 2\n", " \n", " \n", - " 268370\n", - " Yes\n", - " Mac\n", - " 1\n", + " 733358\n", + " True\n", + " Windows\n", " 1\n", " 0\n", " 0\n", + " 0\n", " 1\n", " \n", " \n", - " 318480\n", - " Yes\n", + " 165235\n", + " True\n", " Mac\n", - " 1\n", - " 1\n", + " 0\n", + " 0\n", " 0\n", " 0\n", " 0\n", @@ -6797,47 +7668,47 @@ "" ], "text/plain": [ - "subject_id computer_has computer_os score_command score_r \\\n", - "189753 Yes Mac;Windows;Unix 3 0 \n", - "473138 Yes Mac 2 0 \n", - "463808 Yes Mac;Windows 1 1 \n", - "442558 Yes Windows 0 0 \n", - "630741 Yes Mac 0 0 \n", - "... ... ... ... ... \n", - "47263 Yes Mac 2 1 \n", - "980220 Yes Windows 1 2 \n", - "21801 Yes Mac 2 1 \n", - "268370 Yes Mac 1 1 \n", - "318480 Yes Mac 1 1 \n", + "subject_id computer_has computer_os score_command score_r \\\n", + "463808 True Mac;Windows 1 1 \n", + "473138 True Mac 2 0 \n", + "630741 True Mac 0 0 \n", + "442558 True Windows 0 0 \n", + "189753 True Mac;Windows;Unix 3 0 \n", + "... ... ... ... ... \n", + "783121 True Mac 0 1 \n", + "318480 True Mac 1 1 \n", + "232211 True Mac 2 0 \n", + "733358 True Windows 1 0 \n", + "165235 True Mac 0 0 \n", "\n", "subject_id score_matlab score_perl score_python \n", - "189753 3 0 1 \n", - "473138 3 0 2 \n", "463808 3 0 1 \n", - "442558 3 0 0 \n", + "473138 3 0 2 \n", "630741 3 0 1 \n", + "442558 3 0 0 \n", + "189753 3 0 1 \n", "... ... ... ... \n", - "47263 0 0 1 \n", - "980220 0 1 0 \n", - "21801 0 0 1 \n", - "268370 0 0 1 \n", + "783121 0 0 0 \n", "318480 0 0 0 \n", + "232211 0 0 2 \n", + "733358 0 0 1 \n", + "165235 0 0 0 \n", "\n", "[31 rows x 7 columns]" ] }, - "execution_count": 93, + "execution_count": 105, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.sort_values('score_matlab', axis=0, ascending=False, inplace=False)" + "df.sort_values(['score_matlab', 'score_r'], axis=0, ascending=False, inplace=False)" ] }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 106, "metadata": { "scrolled": false }, @@ -6875,7 +7746,7 @@ " \n", " \n", " 861167\n", - " Yes\n", + " True\n", " Mac\n", " 1\n", " 1\n", @@ -6885,7 +7756,7 @@ " \n", " \n", " 346538\n", - " Yes\n", + " True\n", " Windows;Unix\n", " 1\n", " 1\n", @@ -6895,7 +7766,7 @@ " \n", " \n", " 473138\n", - " Yes\n", + " True\n", " Mac\n", " 2\n", " 0\n", @@ -6905,7 +7776,7 @@ " \n", " \n", " 268370\n", - " Yes\n", + " True\n", " Mac\n", " 1\n", " 1\n", @@ -6915,7 +7786,7 @@ " \n", " \n", " 21801\n", - " Yes\n", + " True\n", " Mac\n", " 2\n", " 1\n", @@ -6935,7 +7806,7 @@ " \n", " \n", " 189753\n", - " Yes\n", + " True\n", " Mac;Windows;Unix\n", " 3\n", " 0\n", @@ -6945,7 +7816,7 @@ " \n", " \n", " 783121\n", - " Yes\n", + " True\n", " Mac\n", " 0\n", " 1\n", @@ -6955,7 +7826,7 @@ " \n", " \n", " 474873\n", - " Yes\n", + " True\n", " Mac;Unix\n", " 2\n", " 2\n", @@ -6965,7 +7836,7 @@ " \n", " \n", " 481858\n", - " Yes\n", + " True\n", " Mac\n", " 1\n", " 2\n", @@ -6975,7 +7846,7 @@ " \n", " \n", " 318480\n", - " Yes\n", + " True\n", " Mac\n", " 1\n", " 1\n", @@ -6989,18 +7860,18 @@ "" ], "text/plain": [ - "subject_id computer_has computer_os score_command score_r \\\n", - "861167 Yes Mac 1 1 \n", - "346538 Yes Windows;Unix 1 1 \n", - "473138 Yes Mac 2 0 \n", - "268370 Yes Mac 1 1 \n", - "21801 Yes Mac 2 1 \n", - "... ... ... ... ... \n", - "189753 Yes Mac;Windows;Unix 3 0 \n", - "783121 Yes Mac 0 1 \n", - "474873 Yes Mac;Unix 2 2 \n", - "481858 Yes Mac 1 2 \n", - "318480 Yes Mac 1 1 \n", + "subject_id computer_has computer_os score_command score_r \\\n", + "861167 True Mac 1 1 \n", + "346538 True Windows;Unix 1 1 \n", + "473138 True Mac 2 0 \n", + "268370 True Mac 1 1 \n", + "21801 True Mac 2 1 \n", + "... ... ... ... ... \n", + "189753 True Mac;Windows;Unix 3 0 \n", + "783121 True Mac 0 1 \n", + "474873 True Mac;Unix 2 2 \n", + "481858 True Mac 1 2 \n", + "318480 True Mac 1 1 \n", "\n", "subject_id score_matlab score_perl score_python \n", "861167 1 0 1 \n", @@ -7018,7 +7889,7 @@ "[31 rows x 7 columns]" ] }, - "execution_count": 94, + "execution_count": 106, "metadata": {}, "output_type": "execute_result" } @@ -7028,52 +7899,28 @@ ] }, { - "cell_type": "code", - "execution_count": 95, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "subject_id\n", - "computer_has object\n", - "computer_os object\n", - "score_command int64\n", - "score_r int64\n", - "score_matlab int64\n", - "score_perl int64\n", - "score_python int64\n", - "dtype: object" - ] - }, - "execution_count": 95, - "metadata": {}, - "output_type": "execute_result" - } - ], + "cell_type": "markdown", + "metadata": {}, "source": [ - "df.dtypes" + "\n", + "\n", + "\n", + "#### df.isnull(), df.fillna()" ] }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 107, "metadata": {}, "outputs": [], "source": [ - "# We can change the Y/N strings to boolean True/False using a dict and map\n", - "yn_tf = {'Yes': True, 'No': False}\n", - "df['computer_has'] = df['computer_has'].map(yn_tf)" + "df['score_bash'] = np.nan" ] }, { "cell_type": "code", - "execution_count": 97, - "metadata": { - "scrolled": false - }, + "execution_count": 108, + "metadata": {}, "outputs": [ { "data": { @@ -7103,6 +7950,7 @@ " score_matlab\n", " score_perl\n", " score_python\n", + " score_bash\n", " \n", " \n", " \n", @@ -7115,6 +7963,7 @@ " 1\n", " 0\n", " 1\n", + " NaN\n", " \n", " \n", " 346538\n", @@ -7125,6 +7974,7 @@ " 2\n", " 0\n", " 2\n", + " NaN\n", " \n", " \n", " 473138\n", @@ -7135,6 +7985,7 @@ " 3\n", " 0\n", " 2\n", + " NaN\n", " \n", " \n", " 268370\n", @@ -7145,6 +7996,7 @@ " 0\n", " 0\n", " 1\n", + " NaN\n", " \n", " \n", " 21801\n", @@ -7155,6 +8007,7 @@ " 0\n", " 0\n", " 1\n", + " NaN\n", " \n", " \n", " ...\n", @@ -7165,6 +8018,7 @@ " ...\n", " ...\n", " ...\n", + " ...\n", " \n", " \n", " 189753\n", @@ -7175,6 +8029,7 @@ " 3\n", " 0\n", " 1\n", + " NaN\n", " \n", " \n", " 783121\n", @@ -7185,6 +8040,7 @@ " 0\n", " 0\n", " 0\n", + " NaN\n", " \n", " \n", " 474873\n", @@ -7195,6 +8051,7 @@ " 1\n", " 0\n", " 1\n", + " NaN\n", " \n", " \n", " 481858\n", @@ -7205,6 +8062,7 @@ " 0\n", " 0\n", " 1\n", + " NaN\n", " \n", " \n", " 318480\n", @@ -7215,10 +8073,11 @@ " 0\n", " 0\n", " 0\n", + " NaN\n", " \n", " \n", "\n", - "

31 rows Γ— 7 columns

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31 rows Γ— 8 columns

\n", "" ], "text/plain": [ @@ -7235,23 +8094,23 @@ "481858 True Mac 1 2 \n", "318480 True Mac 1 1 \n", "\n", - "subject_id score_matlab score_perl score_python \n", - "861167 1 0 1 \n", - "346538 2 0 2 \n", - "473138 3 0 2 \n", - "268370 0 0 1 \n", - "21801 0 0 1 \n", - "... ... ... ... \n", - "189753 3 0 1 \n", - "783121 0 0 0 \n", - "474873 1 0 1 \n", - "481858 0 0 1 \n", - "318480 0 0 0 \n", + "subject_id score_matlab score_perl score_python score_bash \n", + "861167 1 0 1 NaN \n", + "346538 2 0 2 NaN \n", + "473138 3 0 2 NaN \n", + "268370 0 0 1 NaN \n", + "21801 0 0 1 NaN \n", + "... ... ... ... ... \n", + "189753 3 0 1 NaN \n", + "783121 0 0 0 NaN \n", + "474873 1 0 1 NaN \n", + "481858 0 0 1 NaN \n", + "318480 0 0 0 NaN \n", "\n", - "[31 rows x 7 columns]" + "[31 rows x 8 columns]" ] }, - "execution_count": 97, + "execution_count": 108, "metadata": {}, "output_type": "execute_result" } @@ -7262,54 +8121,209 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 109, "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
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subject_idcomputer_hascomputer_osscore_commandscore_rscore_matlabscore_perlscore_pythonscore_bash
861167FalseFalseFalseFalseFalseFalseFalseTrue
346538FalseFalseFalseFalseFalseFalseFalseTrue
473138FalseFalseFalseFalseFalseFalseFalseTrue
268370FalseFalseFalseFalseFalseFalseFalseTrue
21801FalseFalseFalseFalseFalseFalseFalseTrue
...........................
189753FalseFalseFalseFalseFalseFalseFalseTrue
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474873FalseFalseFalseFalseFalseFalseFalseTrue
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318480FalseFalseFalseFalseFalseFalseFalseTrue
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31 rows Γ— 8 columns

\n", + "
" + ], "text/plain": [ - "subject_id\n", - "computer_has bool\n", - "computer_os object\n", - "score_command int64\n", - "score_r int64\n", - "score_matlab int64\n", - "score_perl int64\n", - "score_python int64\n", - "dtype: object" + "subject_id computer_has computer_os score_command score_r score_matlab \\\n", + "861167 False False False False False \n", + "346538 False False False False False \n", + "473138 False False False False False \n", + "268370 False False False False False \n", + "21801 False False False False False \n", + "... ... ... ... ... ... \n", + "189753 False False False False False \n", + "783121 False False False False False \n", + "474873 False False False False False \n", + "481858 False False False False False \n", + "318480 False False False False False \n", + "\n", + "subject_id score_perl score_python score_bash \n", + "861167 False False True \n", + "346538 False False True \n", + "473138 False False True \n", + "268370 False False True \n", + "21801 False False True \n", + "... ... ... ... \n", + "189753 False False True \n", + "783121 False False True \n", + "474873 False False True \n", + "481858 False False True \n", + "318480 False False True \n", + "\n", + "[31 rows x 8 columns]" ] }, - "execution_count": 98, + "execution_count": 109, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.dtypes" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\n", - "#### df.isnull(), df.fillna()" - ] - }, - { - "cell_type": "code", - "execution_count": 99, - "metadata": {}, - "outputs": [], - "source": [ - "df['score_bash'] = np.nan" + "df.isnull()" ] }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 110, "metadata": {}, "outputs": [], "source": [ @@ -7318,7 +8332,7 @@ }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 111, "metadata": { "scrolled": false }, @@ -7511,7 +8525,7 @@ "[31 rows x 8 columns]" ] }, - "execution_count": 101, + "execution_count": 111, "metadata": {}, "output_type": "execute_result" } From d7bcd464f47c3f82b61628edbea00bb696ffc24a Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Thu, 8 Nov 2018 22:22:40 -0800 Subject: [PATCH 45/78] adding assignment 5 answers --- assignments/answers/assignment5_answers.ipynb | 1172 +++++++++++++++++ 1 file changed, 1172 insertions(+) create mode 100644 assignments/answers/assignment5_answers.ipynb diff --git a/assignments/answers/assignment5_answers.ipynb b/assignments/answers/assignment5_answers.ipynb new file mode 100644 index 0000000..7b9e2d9 --- /dev/null +++ b/assignments/answers/assignment5_answers.ipynb @@ -0,0 +1,1172 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "### Answers to Assignment 5 - Regular Expressions\n", + "\n", + "Complete the tasks below. Please turn in a single Jupyter notebook named `5_first_last.ipynb` (substitute your first and last name). Please run Kernel > Restart & Run All on your notebook before turning in." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to A. Regular expressions in the command line\n", + "\n", + "Setup: Download [`scripps_pier_20151110.csv`](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/scripps_pier_20151110.csv) to your directory `~/sio209/data`, if you haven't already. You will use regular expressions to get information from the file.\n", + "\n", + "1. Get all the rows with data from 11/10/15 using grep. How would you keep the header line also? (Hint: to get an \"or\", use `\\|` in grep or `|` in egrep.) \n", + "* Get all the rows where the third column (pressure) begins with a \"3\" using grep. (Hint: if you want to match a period `.` and not any character, you can escape it with `\\.`.)\n", + "* Change the year \"15\" to \"2015\" using sed. (Reminder: sed syntax is `'sed s/find/replace/'`. Hint: if you want to match a forward slash in sed, you can escape it with a backslash like `\\/`.)\n", + "* Copy your shell code (e.g., grep, sed) to a Markdown cell in your notebook." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "11/10/15 1:42,22.307,3.712,33.199,19.95\r\n", + "11/10/15 1:35,22.311,3.588,33.201,19.94\r\n", + "11/10/15 1:29,22.305,3.541,33.2,19.95\r\n", + "11/10/15 1:23,22.323,3.463,33.2,19.95\r\n", + "11/10/15 1:17,22.316,3.471,33.199,19.95\r\n", + "11/10/15 1:11,22.315,3.476,33.198,19.95\r\n", + "11/10/15 1:05,22.31,3.448,33.199,19.96\r\n", + "11/10/15 0:59,22.316,3.377,33.2,19.99\r\n", + "11/10/15 0:53,22.311,3.338,33.2,20\r\n", + "11/10/15 0:47,22.322,3.325,33.201,20.01\r\n", + "11/10/15 0:41,22.311,3.344,33.2,20.04\r\n", + "11/10/15 0:35,22.311,3.217,33.201,20.05\r\n", + "11/10/15 0:29,22.307,3.265,33.199,20.08\r\n", + "11/10/15 0:23,22.32,3.22,33.197,20.09\r\n", + "11/10/15 0:17,22.322,3.211,33.199,20.08\r\n", + "11/10/15 0:11,22.323,3.134,33.197,20.09\r\n", + "11/10/15 0:05,22.315,3.018,33.197,20.09\r\n" + ] + } + ], + "source": [ + "!cat ../../data/scripps_pier_20151110.csv | grep \"11/10/15\"" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Date,chl (ug/L),pres (dbar),sal (PSU),temp (C)\r\n", + "11/10/15 1:42,22.307,3.712,33.199,19.95\r\n", + "11/10/15 1:35,22.311,3.588,33.201,19.94\r\n", + "11/10/15 1:29,22.305,3.541,33.2,19.95\r\n", + "11/10/15 1:23,22.323,3.463,33.2,19.95\r\n", + "11/10/15 1:17,22.316,3.471,33.199,19.95\r\n", + "11/10/15 1:11,22.315,3.476,33.198,19.95\r\n", + "11/10/15 1:05,22.31,3.448,33.199,19.96\r\n", + "11/10/15 0:59,22.316,3.377,33.2,19.99\r\n", + "11/10/15 0:53,22.311,3.338,33.2,20\r\n", + "11/10/15 0:47,22.322,3.325,33.201,20.01\r\n", + "11/10/15 0:41,22.311,3.344,33.2,20.04\r\n", + "11/10/15 0:35,22.311,3.217,33.201,20.05\r\n", + "11/10/15 0:29,22.307,3.265,33.199,20.08\r\n", + "11/10/15 0:23,22.32,3.22,33.197,20.09\r\n", + "11/10/15 0:17,22.322,3.211,33.199,20.08\r\n", + "11/10/15 0:11,22.323,3.134,33.197,20.09\r\n", + "11/10/15 0:05,22.315,3.018,33.197,20.09\r\n" + ] + } + ], + "source": [ + "!cat ../../data/scripps_pier_20151110.csv | egrep \"11/10/15|Date\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "11/10/15 1:42,22.307,3.712,33.199,19.95\r\n", + "11/10/15 1:35,22.311,3.588,33.201,19.94\r\n", + "11/10/15 1:29,22.305,3.541,33.2,19.95\r\n", + "11/10/15 1:23,22.323,3.463,33.2,19.95\r\n", + "11/10/15 1:17,22.316,3.471,33.199,19.95\r\n", + "11/10/15 1:11,22.315,3.476,33.198,19.95\r\n", + "11/10/15 1:05,22.31,3.448,33.199,19.96\r\n", + "11/10/15 0:59,22.316,3.377,33.2,19.99\r\n", + "11/10/15 0:53,22.311,3.338,33.2,20\r\n", + "11/10/15 0:47,22.322,3.325,33.201,20.01\r\n", + "11/10/15 0:41,22.311,3.344,33.2,20.04\r\n", + "11/10/15 0:35,22.311,3.217,33.201,20.05\r\n", + "11/10/15 0:29,22.307,3.265,33.199,20.08\r\n", + "11/10/15 0:23,22.32,3.22,33.197,20.09\r\n", + "11/10/15 0:17,22.322,3.211,33.199,20.08\r\n", + "11/10/15 0:11,22.323,3.134,33.197,20.09\r\n", + "11/10/15 0:05,22.315,3.018,33.197,20.09\r\n", + "11/9/15 23:59,22.319,3.031,33.198,20.08\r\n", + "11/9/15 23:53,22.327,3.118,33.199,20.11\r\n", + "11/9/15 23:41,22.328,3.014,33.198,20.16\r\n", + "11/9/15 23:29,22.336,3.013,33.194,20.17\r\n", + "11/9/15 23:23,22.337,3.011,33.194,20.16\r\n", + "11/9/15 20:17,22.402,3.061,33.206,20.07\r\n", + "11/9/15 20:05,22.409,3.065,33.204,20.05\r\n", + "11/9/15 19:59,22.412,3.159,33.203,20.04\r\n", + "11/9/15 19:53,22.418,3.039,33.206,20.04\r\n", + "11/9/15 19:47,22.422,3.163,33.204,20.04\r\n", + "11/9/15 19:41,22.423,3.193,33.206,20.03\r\n", + "11/9/15 19:34,22.423,3.204,33.202,20.05\r\n", + "11/9/15 19:28,22.413,3.254,33.2,20.02\r\n", + "11/9/15 19:22,22.418,3.316,33.202,19.96\r\n", + "11/9/15 19:16,22.41,3.209,33.2,19.96\r\n", + "11/9/15 19:10,22.426,3.328,33.203,19.95\r\n" + ] + } + ], + "source": [ + "!cat ../../data/scripps_pier_20151110.csv | grep \".*,.*,3\\..*,.*,.*\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Date,chl (ug/L),pres (dbar),sal (PSU),temp (C)\r\n", + "11/10/2015 1:42,22.307,3.712,33.199,19.95\r\n", + "11/10/2015 1:35,22.311,3.588,33.201,19.94\r\n", + "11/10/2015 1:29,22.305,3.541,33.2,19.95\r\n", + "11/10/2015 1:23,22.323,3.463,33.2,19.95\r\n", + "11/10/2015 1:17,22.316,3.471,33.199,19.95\r\n", + "11/10/2015 1:11,22.315,3.476,33.198,19.95\r\n", + "11/10/2015 1:05,22.31,3.448,33.199,19.96\r\n", + "11/10/2015 0:59,22.316,3.377,33.2,19.99\r\n", + "11/10/2015 0:53,22.311,3.338,33.2,20\r\n", + "11/10/2015 0:47,22.322,3.325,33.201,20.01\r\n", + "11/10/2015 0:41,22.311,3.344,33.2,20.04\r\n", + "11/10/2015 0:35,22.311,3.217,33.201,20.05\r\n", + "11/10/2015 0:29,22.307,3.265,33.199,20.08\r\n", + "11/10/2015 0:23,22.32,3.22,33.197,20.09\r\n", + "11/10/2015 0:17,22.322,3.211,33.199,20.08\r\n", + "11/10/2015 0:11,22.323,3.134,33.197,20.09\r\n", + "11/10/2015 0:05,22.315,3.018,33.197,20.09\r\n", + "11/9/2015 23:59,22.319,3.031,33.198,20.08\r\n", + "11/9/2015 23:53,22.327,3.118,33.199,20.11\r\n", + "11/9/2015 23:47,22.332,2.962,33.199,20.13\r\n", + "11/9/2015 23:41,22.328,3.014,33.198,20.16\r\n", + "11/9/2015 23:35,22.341,2.972,33.193,20.18\r\n", + "11/9/2015 23:29,22.336,3.013,33.194,20.17\r\n", + "11/9/2015 23:23,22.337,3.011,33.194,20.16\r\n", + "11/9/2015 23:17,22.334,2.875,33.194,20.16\r\n", + "11/9/2015 23:11,22.337,2.809,33.194,20.16\r\n", + "11/9/2015 23:05,22.335,2.868,33.195,20.18\r\n", + "11/9/2015 22:59,22.33,2.851,33.197,20.18\r\n", + "11/9/2015 22:53,22.315,2.769,33.199,20.18\r\n", + "11/9/2015 22:47,22.318,2.774,33.191,20.19\r\n", + "11/9/2015 22:41,22.318,2.875,33.191,20.15\r\n", + "11/9/2015 22:35,22.32,2.752,33.192,20.15\r\n", + "11/9/2015 22:29,22.319,2.814,33.186,20.16\r\n", + "11/9/2015 22:23,22.328,2.781,33.184,20.13\r\n", + "11/9/2015 22:17,22.31,2.794,33.189,20.11\r\n", + "11/9/2015 22:11,22.32,2.776,33.197,20.08\r\n", + "11/9/2015 22:05,22.325,2.77,33.199,20.07\r\n", + "11/9/2015 21:59,22.32,2.76,33.198,20.08\r\n", + "11/9/2015 21:53,22.335,2.798,33.198,20.08\r\n", + "11/9/2015 21:47,22.333,2.764,33.198,20.08\r\n", + "11/9/2015 21:41,22.343,2.714,33.197,20.09\r\n", + "11/9/2015 21:35,22.351,2.821,33.195,20.06\r\n", + "11/9/2015 21:29,22.359,2.832,33.201,20.05\r\n", + "11/9/2015 21:23,22.363,2.735,33.203,20.05\r\n", + "11/9/2015 21:17,22.363,2.746,33.205,20.05\r\n", + "11/9/2015 21:11,22.368,2.76,33.204,20.05\r\n", + "11/9/2015 21:05,22.37,2.805,33.205,20.05\r\n", + "11/9/2015 20:59,22.377,2.813,33.205,20.05\r\n", + "11/9/2015 20:53,22.395,2.913,33.206,20.05\r\n", + "11/9/2015 20:47,22.395,2.818,33.206,20.05\r\n", + "11/9/2015 20:41,22.379,2.877,33.205,20.07\r\n", + "11/9/2015 20:35,22.388,2.921,33.206,20.07\r\n", + "11/9/2015 20:29,22.387,2.971,33.205,20.07\r\n", + "11/9/2015 20:23,22.392,2.983,33.206,20.07\r\n", + "11/9/2015 20:17,22.402,3.061,33.206,20.07\r\n", + "11/9/2015 20:11,22.404,2.961,33.206,20.08\r\n", + "11/9/2015 20:05,22.409,3.065,33.204,20.05\r\n", + "11/9/2015 19:59,22.412,3.159,33.203,20.04\r\n", + "11/9/2015 19:53,22.418,3.039,33.206,20.04\r\n", + "11/9/2015 19:47,22.422,3.163,33.204,20.04\r\n", + "11/9/2015 19:41,22.423,3.193,33.206,20.03\r\n", + "11/9/2015 19:34,22.423,3.204,33.202,20.05\r\n", + "11/9/2015 19:28,22.413,3.254,33.2,20.02\r\n", + "11/9/2015 19:22,22.418,3.316,33.202,19.96\r\n", + "11/9/2015 19:16,22.41,3.209,33.2,19.96\r\n", + "11/9/2015 19:10,22.426,3.328,33.203,19.95\r\n" + ] + } + ], + "source": [ + "!cat ../../data/scripps_pier_20151110.csv | sed 's/\\/15/\\/2015/'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to B. Regular expressions in Python\n", + "\n", + "Setup: Import the `re` module.\n", + "\n", + "1. Create a string variable with the value 'The quick brown fox jumps over the lazy dog'.\n", + "2. Use `re.match` or `re.search` to see if the string starts with 'The'.\n", + "3. Use `re.search` to find the first instance of a lowercase letter followed by an 'o'.\n", + "4. Use `re.findall` to find all instances of a lowercase letter followed by an 'o'.\n", + "5. Use `re.sub` to change the last word to an animal of your choice." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "import re" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "s = 'The quick brown fox jumps over the lazy dog'" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'The'" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "matchobj = re.match(r'The', s)\n", + "matchobj.group()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'ro'" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "searchobj = re.search(r'[a-z]o', s)\n", + "searchobj.group()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['ro', 'fo', 'do']" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "findobj = re.findall(r'[a-z]o', s)\n", + "findobj" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'The quick brown fox jumps over the lazy whalewhale'" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "re.sub(r'\\w*$', 'whale', s)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to C. Numpy basics\n", + "\n", + "1. Create an array of ten random floats ranging from 0 to 10. Create a second array of ten integers from 0 to 9. \n", + "3. Use 'fancy indexing' with masks to find the values in your first array that are greater than their corresponding values in the second array (e.g., if the first element in array 1 is greater than the first element in array 2)." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "x = np.random.rand(10) * 10\n", + "y = np.arange(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([5.38492139, 7.30115743, 7.9164117 , 5.17483359, 9.02989914,\n", + " 2.46943523, 6.06048994, 5.79185622, 7.42187875, 6.165999 ])" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "y" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ True, True, True, True, True, False, True, False, False,\n", + " False])" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x > y" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([5.38492139, 7.30115743, 7.9164117 , 5.17483359, 9.02989914,\n", + " 6.06048994])" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x[x > y]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to D. Pandas basics\n", + "\n", + "1. Read in the csv file `scripps_pier_20151110.csv` as a Pandas DataFrame with the index as the Date column and the column headers from the first row of that file.\n", + "2. Print all the date/times from 11/10/15. (Hint: you can get the indexes from the DataFrame, convert it to a list, then iterate over that list (using a for loop or list comprehension), and then use `re.match` or `re.search`.)\n", + "3. Print all the rows from 11/10/15. (Hint: you can use your answer to the exercise you just did but use `.loc` indexing.)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Option 1 - Use a regular expression to search the date/times" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv('../../data/scripps_pier_20151110.csv', index_col=0, header=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "l = list(df.index)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['11/10/15 1:42',\n", + " '11/10/15 1:35',\n", + " '11/10/15 1:29',\n", + " '11/10/15 1:23',\n", + " '11/10/15 1:17',\n", + " '11/10/15 1:11',\n", + " '11/10/15 1:05',\n", + " '11/10/15 0:59',\n", + " '11/10/15 0:53',\n", + " '11/10/15 0:47',\n", + " '11/10/15 0:41',\n", + " '11/10/15 0:35',\n", + " '11/10/15 0:29',\n", + " '11/10/15 0:23',\n", + " '11/10/15 0:17',\n", + " '11/10/15 0:11',\n", + " '11/10/15 0:05']" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "[date for date in l if re.match(r'11/10/15', date)]" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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chl (ug/L)pres (dbar)sal (PSU)temp (C)
Date
11/10/15 1:4222.3073.71233.19919.95
11/10/15 1:3522.3113.58833.20119.94
11/10/15 1:2922.3053.54133.20019.95
11/10/15 1:2322.3233.46333.20019.95
11/10/15 1:1722.3163.47133.19919.95
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" + ], + "text/plain": [ + " chl (ug/L) pres (dbar) sal (PSU) temp (C)\n", + "Date \n", + "11/10/15 1:42 22.307 3.712 33.199 19.95\n", + "11/10/15 1:35 22.311 3.588 33.201 19.94\n", + "11/10/15 1:29 22.305 3.541 33.200 19.95\n", + "11/10/15 1:23 22.323 3.463 33.200 19.95\n", + "11/10/15 1:17 22.316 3.471 33.199 19.95\n", + "11/10/15 1:11 22.315 3.476 33.198 19.95\n", + "11/10/15 1:05 22.310 3.448 33.199 19.96\n", + "11/10/15 0:59 22.316 3.377 33.200 19.99\n", + "11/10/15 0:53 22.311 3.338 33.200 20.00\n", + "11/10/15 0:47 22.322 3.325 33.201 20.01\n", + "11/10/15 0:41 22.311 3.344 33.200 20.04\n", + "11/10/15 0:35 22.311 3.217 33.201 20.05\n", + "11/10/15 0:29 22.307 3.265 33.199 20.08\n", + "11/10/15 0:23 22.320 3.220 33.197 20.09\n", + "11/10/15 0:17 22.322 3.211 33.199 20.08\n", + "11/10/15 0:11 22.323 3.134 33.197 20.09\n", + "11/10/15 0:05 22.315 3.018 33.197 20.09" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.loc[[date for date in l if re.match(r'11/10/15', date)]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Option 2 - Convert the index to a datetime index, then just index the date (works with or without .loc)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "df.index = pd.to_datetime(df.index)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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chl (ug/L)pres (dbar)sal (PSU)temp (C)
Date
2015-11-10 01:42:0022.3073.71233.19919.95
2015-11-10 01:35:0022.3113.58833.20119.94
2015-11-10 01:29:0022.3053.54133.20019.95
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2015-11-10 00:29:0022.3073.26533.19920.08
2015-11-10 00:23:0022.3203.22033.19720.09
2015-11-10 00:17:0022.3223.21133.19920.08
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chl (ug/L)pres (dbar)sal (PSU)temp (C)
Date
2015-11-10 01:42:0022.3073.71233.19919.95
2015-11-10 01:35:0022.3113.58833.20119.94
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2015-11-10 00:41:0022.3113.34433.20020.04
2015-11-10 00:35:0022.3113.21733.20120.05
2015-11-10 00:29:0022.3073.26533.19920.08
2015-11-10 00:23:0022.3203.22033.19720.09
2015-11-10 00:17:0022.3223.21133.19920.08
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" + ], + "text/plain": [ + " chl (ug/L) pres (dbar) sal (PSU) temp (C)\n", + "Date \n", + "2015-11-10 01:42:00 22.307 3.712 33.199 19.95\n", + "2015-11-10 01:35:00 22.311 3.588 33.201 19.94\n", + "2015-11-10 01:29:00 22.305 3.541 33.200 19.95\n", + "2015-11-10 01:23:00 22.323 3.463 33.200 19.95\n", + "2015-11-10 01:17:00 22.316 3.471 33.199 19.95\n", + "2015-11-10 01:11:00 22.315 3.476 33.198 19.95\n", + "2015-11-10 01:05:00 22.310 3.448 33.199 19.96\n", + "2015-11-10 00:59:00 22.316 3.377 33.200 19.99\n", + "2015-11-10 00:53:00 22.311 3.338 33.200 20.00\n", + "2015-11-10 00:47:00 22.322 3.325 33.201 20.01\n", + "2015-11-10 00:41:00 22.311 3.344 33.200 20.04\n", + "2015-11-10 00:35:00 22.311 3.217 33.201 20.05\n", + "2015-11-10 00:29:00 22.307 3.265 33.199 20.08\n", + "2015-11-10 00:23:00 22.320 3.220 33.197 20.09\n", + "2015-11-10 00:17:00 22.322 3.211 33.199 20.08\n", + "2015-11-10 00:11:00 22.323 3.134 33.197 20.09\n", + "2015-11-10 00:05:00 22.315 3.018 33.197 20.09" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.loc['11/10/15']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.0" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} From 7991cb4c7e5486b00c212585fd38f9c29ae874a1 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 13 Nov 2018 21:39:24 -0800 Subject: [PATCH 46/78] updating seaborn lesson to version 0.9.0 --- lessons/lesson14.1.ipynb | 156 ++--- lessons/lesson14.2.ipynb | 221 +++---- lessons/lesson14.3.ipynb | 777 ++++++++++++------------ lessons/lesson14.4.ipynb | 838 +++++++++---------------- lessons/lesson14.5.ipynb | 599 ++++++++---------- lessons/lesson14.6.ipynb | 720 ++++++++++++---------- lessons/lesson14.7.ipynb | 1242 ++++++++++++++++++++++++++++++++++++++ 7 files changed, 2790 insertions(+), 1763 deletions(-) create mode 100644 lessons/lesson14.7.ipynb diff --git a/lessons/lesson14.1.ipynb b/lessons/lesson14.1.ipynb index 0dd6db9..4e08b38 100644 --- a/lessons/lesson14.1.ipynb +++ b/lessons/lesson14.1.ipynb @@ -76,12 +76,14 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", + "image/png": 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YZqbf6qCousvjNVSmDrm3jaELu5Ci56BJWgJAT7+NsgYL82eFuJXuqolIQ5OyAtvlj3B2eNYn3qDXMDshiPyydjVk84Bgu3oIpbcN/ZIXETTDSRoXS1qBu4dqPo1h2ecQvAMYOvP6A1cwNSON/GBtEY7qPHRZWxC9/QGwO5wUlLeRk+JaqOZ2pMBItKmrsV87gtzt2fzFjPhAvPUaNWTzgGA99WcQRAwrvnDToBeUt6MoeDT0wbD4OQS9D9YTf0SRPbuJc5KDsfTbqGxU022nG3nAgi1/H1LMXDRRmTdfv1DcQmyYH+YAb7fWE3Re6BfsRG6vxlF5carVnRQzzsgrikLn4T8j+ASgm7Px5uuFI6GaVPeewCPo5j8JGi1D59/2SF6rEcmZFUJeaZs6LGKacTSX4qy7ij5nB6LvrQya/NI2gowGoj1oRiYYfNEveQG5rQpH5XmP9JqTGIwkCuSrnSmnHduld8Fhx7D4+ZuvtXYNUNXU67YXP4ImaSliYBRDF95BcT44rU5mnJF3VF5kqLEM/fydCJpbjcdGQjWpboRqbkf0MqLL3oajJh9HY7FHayxMC8Vqc1JY9eCmUz0K2HL3IngZ0Wasvfma1ebgWnUX2SnBHlcma5IWIwZEYst/36MtufeN32deaZvamXIacbbXYC85gTZz3R3tKy5dH374euooCqKIfuEzKL1t2IuPTYWqU8KMMvKK08HQhV3oQmPQJC+7+brdIVNQ1s68We6Ham5Hl7kBwTfI4wKY1JgADDqJKxWTK7BS8RxncxnOhmvosjbf4QQUVnbicMrMm8R8TkEQ0WVvR+5qxFGV69EaOcnBtHQN0tihFkZNF0OX3gO9N/qcx+94/XJ5OzFmX4L9PR8BKUXPQQpPxZa3F8U2OFlVp4QpMfI/+tGP+M53vjMVS02M3Qqyk6D1X7qjwdj1ui6sNifZyZMbsCtodOhyHkdur8HpgTevkUQy4gO5XN6uemrTxFDeXgSDH9q0tXe8nlfWhq+XlqQo/0mtr0lYiOAfhi1vn0fe/Nwbv1E1ZDM9OLsbcdYWoMtcj6C/NQSkb9BOeYOFrMTgSa0vCAL6Rc+iWHuxFR6crLpTwqSN/NmzZ3nvvfemQpe7Ihh88XnxJ3jFzb7j9SsVHWg1osehmtvRJi1B8DJiu/KxR/JZicF099mobfEsHVPFc5wt5TjrC4e9eO0tL97hlLlc3kFWUhDSJLuPCqKIPns7cmedR+XsAX56EiKM6sSoacJ+5QBIWrTpdzoBhZUdKArMSZp833gpNAEpeg72a4cnVU0/VUzqF9/d3c1Pf/pTvva1r02VPndlrHjq1YoO0mID0Gsn1zEQhr15bcZjOOuu4Oxyvw/47MQgBOByhTr/9X5z04tPfwyn7Ly5m7pe183gkMOjrJqx0CQtRvALueHNu79jy04Oprq5l84e65Too+Ia8oAFe9lptCnLR7UJvlzRgZ+3lvjwqWkfrMtcjzLYg6PiwpSsNxkm1Wr4Bz/4Ad/+9rdpavIs7dBdBh2D/H95/0W/cwBZVhAFkUTfJFoH9axLyJmy99GmrcGW/wH2qweQVn7JLVl/Hx3xEUauVHTw+LL4KdNJZWLsXfVc6C6jOj6Jpvxf09TfgpfGQKIpHkuzDzpvbzLipqbVryBK6LK3MXTiFZwNRWiiMtySz0kJYffxSvLL2nlsnjqH4H5hKfyYSz5aLus6aTr+v9BLerw0BoIMgVxrMZGdOAtxitqFS1GZiKYIbIUH0SQvndY25B4b+V27dhEeHs6SJUt499133ZYPCnI/jc3mNDAvejY91l4A+u2DXKzPwzDHyTWplaXaZ4kxTUV/Zz/a5qyh78pRAje9hOTjXhx3yZwIXj9QgubG8PCQkMn1rb/fzCR9Q0L8KO+o5tdXfk+d2Yi/OECcbww5URn0DPVR3FpGi9SOJkPicl8wm5JXIwqTP4qSAzZQe/EdxMpThGQvdlnXkf9HhvhQXNfN85vSJq3LvWKm/Q7Gw+F08Jf8XRzsvYQz1I9oCVbHL2HIaWPAPsi1lnJILKHZq55Gp5GssPQp0alnyXbaP/ovjEMNGKLv/He+n9+toHh4QvjFL36RtrY2JEnCYrEwMDDAE088wXe/+12X5Ds6+jzu2hgS4kdb27Ch//FbZ2kRr6MNq8Um2/hSxmfIDJ78jSN3N9H/9j+hy9mBfv6TbsnWNPfyr69e5Etb0njysZSbus4Ebv9uH3QCg7z59ZnXOdlwFj+Hk8clM4vX/sMdXlNTRz/f//NR4ubV0uyoJtE/ns+mPUOo9+QO2ACs597EfvUQPp/5CaK3acJrP/29/vehUk5ebuTn31qBVjP5MONUM5N+BxPp2j1k4Q+Fr1FpqWG+ZZDVc18kLm7xHb+RN4+UcLTmHMEpjXQPdbMtfiOb4tZO2vtWHEP0/ff/QBORhtf6v3FJ34kQRcEj59hjl+aVV17hgw8+YO/evXzzm99k7dq1Lhv4qcJqc1Bea2Vh0DK+s/DvCPUO4TdXXuVI3clJZ7eIpnCkmCzsRUfcLmyIMfti8tWpcfl7iKzI/Pz8q5xoOMMKnzj+vqaDBemPj7oxC6s6UYa8+ersl/hc2rM09jfxk9xf0tzfOmkddKmrQXFiv37SbdnM+EBsDpnSOsuk9VAZm0pLDT+6+J/U9zXxYq/IswSPMvAAhZUWkgxZ/OuSf2RhWA4fVB3g7dI9yJNsTyBo9OhSV+GozkXunT5bMKPy5D9NcXUXDqfCnMRgTHp/vp3zdbJCMthd9j77qw7dfYG7oEtfi2LtxVF72S05QRDISgrmWlUndseD1cfiYUBWZP5S/DZnai/xROIWtjW24mUKRwpLGXXttapOzAFehAZ4szh8Pv84/28REPhFwe/ptE6uz5BoCkOKSMNefMztVgepMQFoJIHCKrWm4l7Q1N/CLwv+gF7S8T/in2BOSzPa1FWjDHxb9yCN7f1kJQWjETV8Lu1Z1sWs4kTDWf5Q+N84J9k+eLizpYC96Mik1pkMU2Lkd+7cyQ9/+MOpWMotrlR2YNBJJN/IfdZLOl7O/CyLwuaxv/oTClqvTmp9KSoTwdvkkac2JzEIq81JUaV6E08liqLwesluLjTn8fzsx1nrHYfcVoU2bc2oG9jukCmp7SIz/lZaXKh3CN+Y+2WsTis/L/gdvbbJpbpq09eg9HXgrC90S06vk0iOMqnV0feAPls/v7n8ClpJwzezv0JITSFIOrSJi0ZdO1K4mHVjgIwoiDyZtJWdSdsoaLvK3sqPJqWL6BuEJiYLe9mZaes3P2M9eUVRuFLRQUZ84B1VrqIg8sKsncQao/lz8Vs09nk+jUcQJbTJS3HWXUEecK8PeFpswI0+JZMPC6jc4mTDOc42XWRT3GPsTN+MvfgIaHRoU5aNurasvhubXSYj4c6smmi/CL4254t0WS38+sork/LWNLE5CF5G7MVH3ZbNjA+koa2frt4hj99f5U4csoPfFf6ZblsPX539BQI03tjLz6NJmI+gG13Jeq2qkxCTAXPgnQ3JHotZyYrIJRyuPUFBm3sP8E+jSVmGMtCNs2F65sHOWCPf0D58c8xOGF28oJW0fGX259FJOn579U8M2D0vIdfOWgGKjKPsrFtyBp2GxEh/LpepRS9TRXN/K++Wf0BaYArb4jcgDw1iLz+HNnExgm5018DCqk4kUSA1ZvShaJIpns+nP0dNTx0fVx/2WCdB0qCdtRJHbYHbI+Ay4ocfPtdUb37KeLt0L+XdVXwu9Rni/WOH20/YB4fv40/hlId3euOl1j6VvJ1Yv2j+UvQ2rQOe38eamCzQ+2AvPe3xGpNhxhr54ht928f7BzLp/fmrzM/Tae3mzeueV+SKpnBEcxL2UvcPc9NjA6hosNA3OP1VbzMdh+zg1Wuvo5d0fC7tWQRBoL/0AjhsaMa4gWG4X01ylD8G3diZwjmhc1hgzubjmiPU9HjWJx5Am7oSFAV7uXvTxaJDffH30alx+SmipLOM043nWRezivlh2QDYr59E8AtBCp816vqqpl6sNifp49gQrajh5czPIgkivy98DZuH1auCpEWbuBhHdR6K7f73LJq5Rr6mi9AAL4L8DeNek2iKY3PcY+S2Xqao47rH76VNWY7c1YjcVuWWXHpcIIoCJTXqIJHJ8kHlQer6Gnkx9Wn89cNViX2FJxF8g5DMiaOu7+4bor6t76a3PB7PpuzAqPPjz0VvYffwJhaNoYjmJBzl7rUgFgSBjPhAiqq71CHwk8TmtPFGyW5CvYLZFr8BALmnDWdjMdpZK24OFrqdoupOBJiwHUqQVwCfT3+Ohr4mDtW4H5IbQZuyDJx27NNQATsjjbzTKXO9rot0F3rVrItdTah3MG+V7vH4SaxNXASSDnvpKbfk4sL98NJrKKpWt+OToaanjk9qj7MsYhFZIcPVpfJgD4NVl4d7DY1xA4+EQG4/dB0Lb603n0l9muaBVt6vPOCxjtrExciddTg7692Sy4wPpG/QTk3LzMhJf1DZX/UJ7dZOXkh9Cq00XIQ4fL8KY57XABRVdxFj9sPXSzvh2pnBacwLzeJg7THaBz3bdYkh8YimCBzTELKZkUa+rL6bwSEnaS6UqWtFDc+lPEn7YAcHPXwSCzovNPHzsJefc6vhkEYSmZ0YrI4EnASKovBO2fv4an14MmnrzdcdFRdAkdEkjV1tWljVidFbS7T57sUj6UGzWBaxiCN1J2nq92yylyZhAQgijvJzbsml39hpFKpZWB5T1VXH4boTLA1fQErA8K5OURTs5WeRItPvGBwzwpDNSUWDhfQ415oa7kzehiSIvFPm2bBuQRDQpCzD2VKGvfP+tIEZYUYa+ZHDzFljHKiNRWpgMgvM2RyqOUqLh0Uw2uSlYBtwO1UuKyWY1u5B2rsfjN7SM438tqtUWqrZnrARL82t0Jy94hy60BikwNG9XxRFobi6k/T4QJd7kTyesAm9pGdvxX6P9BS9/ZEi07FXnHPr7MborSPW7Mc11RHwCEVR+N2l1/HRet/hBMgdNSg9rWOmTQKU1nfjlJVx4/GfxqT3Z3PcOq62F1PY7tlQIW3yUhAE+grdT8meDDPSyF8payc61Bejt85lmZ3J29BKWnaXf+DRe0qRacMn5G7G1Eb6hxepcXm3scsO9pTvJ8InjCURC26+Lve0IreU45uxcky5xvZ+egbspMW43nraV+fDxtg1XG0vpqyrwiN9tUmLUXrbkVvdk0+NNVHZaMFmV8dGuktBWyHlndXsSNyCt/ZWhpWj4gIIEpq4sRsXFlV3opHEmzU2rrAmejlm71B2le716PxG9AlAN+9JdOZYt2Unw4wz8ja7k+LqTtLc7B1v1PmxIXYN1zpKqLLUuP2+gqhBGzcPR02BWyGbaLMf/r46NS7vAcfrT9Nh7WRn8rY7morZb4REfDLGjrWW1A7XNMxy8zeyOno5Jr0/75Xv96ikXRM3DyTNTf1cJTUmAIdToUId8O0WsiLzQeUBIv3CWBR2y5grioK98iJSVAaCYexwXVF1F8lR/ujcaE+uETU8m7KDdmsnJxvcS6keQZ/zOD6zxt5d3CtmnJEva7Bgd8gux9JuZ2XkUny1PnzoYcsDTcICsA+6FbIRBIH02ECKa7qQ1WlRLtNn6+fj6sNkBKWSFnirXYGiKDjKzyGFpaD1H3sWZ0ltF0FGPSETZF6NhU7Ssj1hIzW9deS3XnFbZ0HnhSZmLo7KC25VNyZHmRAENQvLXS4259M80Mqzs+90AuT2apTeNrQJC8aU6+m3Udfa57ajCMOh3xRTIodqj3ucyHG/mXFGvri6C0kUSIl2LR5/OwaNnvWxqynuLKW82710SPA8ZJMeF0DvgJ36VnValKscrT+F1THEjvhNDFaU0/nRfjr3f0Dnvl30lTaiBI7daVRWFK7XdpMaE+BRF8GFYTlE+oazt+JjjyphNUmLUQZ73Bof6W3QEBfmR0mtauRdxSk72V91iGjfCLKkcPryc+k+8gnt775Dx7tvMtQnIo7TMrj4xsPU1Xj8p9kSv44eWy+nG91LmZ0uJjU0ZDoorukkJSZg3AKXu7Eycgmf1B7nw8qD/F3OV92SHQnZ2CsvojjtCNLEqVcjjPyYimuGU7blb2UvAAAgAElEQVRUJmbQYaXg2jGevS4wuO//UNc3+uFoeXUv3ScL8Z63AOPyFUjew/M6G9v66Ru0M8uNePztiILI9oSN/ObKq+S2XmZhmHvDaDTRc0BrwFF5CU1UpstyqTEBHLxYx5DdOSUTzh52zjScx6+8iW1NAeT/9m9v/UEU4UazuM5/+Ae8U9MJenInXgm3aimKa7rw0g8/WD0hOSCRZFMCh2qOsjxi0c2UzQeVGeXJD1jtVDf3kjWJgd06ScfG2LWUdldQ2lXutrwnIZsAPz2hJi9K69zrf/MoIlutFP75Fzz9fhNh1V34zJ5D2Fe+RuLPfkHSr39L+LoozGtjCXn2BQQB2t5+k+offI++K8PzVotveMNjtTJwlcygNCJ8wjhUc8ztKmdBo0MTPRtHTZ5bg75nxQTglBXKG9TWw3ejv6oc/c9e4fETFnRtFmI+8wIx3/8XEn7yMxL+7XuEZoP5qY0Ebt7KUH0tdf/nf9P4q59jax5OXbxe182saBOi6Hm/+C3x67HYejndOP3j/e7GjPLkFSAiyIcVcyMmtc6yiEUcqjnG/qpPSAlIckv29pCNJjbbZbmUGBP5pW3IijJlI8YeNgYrymn8zS/x7+qiITWUFV/5PhrjrZmbck8b9NTjteg5dFkbSfnM09RduEzzq3+k8T9/hnHpMip85hLsbyDYNLoZlasIgsC6mFX8ufgtrnWUuD2ERhOXg6PyInJLBVJYsksyyVH+iILA9Ql6qTzqKIpC9ycHaX3nLSQ9OD7zBMkrtxMaZro5hMNa/DGSXoPv2scR9D4EbtlK16GDdB34iJrCqxg/+yVaOgdYlTU5G5ISkEiSKZ6DNUdZFrHwgfbmZ5Qn72PQ8m9fnE9M2OSG7eokLWuil1PWXUldb6Nbsp5m2cyKNtFvddDY1u+uuo8EfVcKqP/JjxnCwdvrTUS+/NU7DDyAozoPAE38vJuvGeITiPn+PxO4bTs9584y58TrzA51PbV2POab5xKgN3lUQKeJyQJRwn5DX1fw0muIC/ejpEbd7Y2FPDRE4y//k7a33qAxypfDT80ibfUOBOlWaEtRFBwjWTX64fCdaPAiaPsO4v79h+ijorD88Tcs7rpKSrR7Iz3HYkvceiy2Hs415056rXvJjDLyzt5eKr71NzTt/3jSay2LWIRO0nG0zv3CBE38/OGQjRuHa7NuHBRfV0M2o7CcPknjL/4TbVg4ezaFYkhMJtmUMOo6R3UuYmA0ovHOrBpRqyX4iafQvvTXGG29zDv3FvauyR1iSqLEYzErqbBUU2mpdktW0HkjRaQNN6RyI9yTGhNAVVMPQzY1X/52ZLuNxl/9nP7LBciPr+edpXqWJ48ezyd31qP0dYyZG68xmYj6h+/QHpPO6o58vA7scnvQy6dJCUgk2i+SY/WnJz2J7l4yo4y86OOD16xUKn/7e3rOu5eL/Gm8tV4sCZ9PbksBliH3+oZIEamg0eOoKXBZJtjkRZBRz3U1g+IOLCeP0/LKH/CelUb7F7bQIPSyMW70ABB5sAdnc9m4xS0AZVozb0c8hnagl/of/x/sHZMbubY0YiE+Wm8O1hxzW1YTl4PS04Lc1eCyTGqMCaesUNagOgIjKA4HTb/+JQPXCjF/4UsciR3CT+fHAvPcUdc6avIBAU3M6L8BiDodH4WvpDR+Eb2nT9G+661J6SYIAmuiltPc30JJV9mk1rqXzCgjL4gi4V/5Osb0NJr/+Dv6C93PZb6d1VHLcCoyJxvcaxEraHRoojKHQzZuPMFTok2U1nU/0E/9+8lASTEtr/0Z74xMIv/u2xxvv0SIVxAZQamjrh2+gZU7QjWfpqSmC1t4HFF//484+/tp+OlPcA563k5CL+lYFbmUq+1FtLjZT3z4YSTcDDG5QlKUP5IoqCGbGyiyTNPvfkP/lcuEfvbzDGancK2jhFVRS8eMgTtq8hFDExC9xw7F9A7YaOgYQFizCdPadXQdOkDXIc+b0gHkmLPw0/pyrM695oX3kxll5GH4aZz2ve+gj4ik8Ve/wFpd7fFaod4hZAancrLhnNuFDZrYuSj9ncgdtS7LzIoJoGfATnPn/e8p/aBha2mm8Ve/QGc2E/7Vv6Z+sJVKSw0rI5fcUdgygqMqF8EvBDEwesz1ZEWhtK6bWTEmvBISiPjrv8XW2kLzH347qW358hv6nGpwb+coepsQzYk4ql2P1xp0GuLDjepu7wYd+/bQl3uJkGdfwLR6LUfqTqIVNayIXDLqWrm/C7mtasJkiJGh6SkxAYQ8/yK+OfNoe/tNei95niGjFTUsj1xMYUfJpAaL3EtmnJEH0Pj4EPmtv0fy9aXpv345KW9tbfQK+uz9XGrJd0tOiskChBsepmukqHF5gGEv+z9/hiCKRP7tt5G8vTlRfwatqGVx+PxR1yu2QZwNRWji541b4NTY1s/AkOPmd+ydmkbIsy/QX5BP54fve6yrv96P7JDZnG26hM1pc0tWE5uD3F6D3Od6h8nkaH+qm3sf+T42/Vev0PnBPozLVhCwYSN99n7ON+exKGwevjqfUdc7ai8D3MXId6PViMSHGxFEkbAvfxWvpGSaf/9bhuo9HxqzInIJkiBxrN69iMD9YkYaeQCNvz/hf/V17B0dtP7lVY9DIMmmRCJ9wzlad8qtNUQvI5I5yS0jbw7wwt9HR2nto2vkFUWh5c+vYG9vI+Ibf4s2JIQB+wAXW/JZYM6+o8nUCI76QpAdE97AZfXD32nybZXQpsfWYVyyjI6979FX4N5D/HZWRC5m0DFIbstlt+S08cPnB+6EbJKjhuPyVU2Pbh8be0cHTb//L3RR0YS++FkALjTl4pAdrIxaOqaMozpveKcXMH5q5PW6LhIjjDdnQos6HeFf/xtEb2+afvdfyDb3HuIj+Ov9yAnN4lzTRQYdVo/WuJfMWCMP4JWcTNDjT9B74Tw9pz1r3ykIAisil9DY30y1myPgpNi5Nzw115qPCcJwO4brj3BcvvfcGfpyLxH85FN4JQ/3pDnXdAm7bB//Bq69AnofJPP4NQ2l9RZMvro7+tUIgkDo576APjaO5lf/gMPiWaFRkimBMB8zJ9xsSiX6hyH6h930Ml1hpCvio1o4pzgcNP3ml+B0EvH1byDq9SiKwqnG88QbY4n0DR8lI9sGcTYWoYnNHnenN2B1UNfSN6oSWmM0EvalL2NrqKf9nbc91ntN9DKGnDbONz146ZQz2sgDBG7ZhldqGq2vv8ZQo3s57yPMN89FJ2o542YvihHP0lHrepbNrBgTXb1DtFkevCf+vcbe2UHr66/hlZxCwIZNwHAnwRMNZ0nwjyXab7QXpigyzrrLaKIyEcTxy/3L6rtvNPq68yYXdTrCXv4KitVK62t/9ujhKggCKyOXUNtb7/YsWCkmC2dTCbLNtX9vH4OWyBAfyuofzcrXzo8+xFpVifmll9GZwwAo766iZaCN5ZFjd28crLwCTgeauIl3egqM2fPKJ3MOpnUb6D7yyc3KaXeJNUYT4xfJ6cbzD5wDN+ONvCCKhH/5qwg6HS1/+qNHh2xeGgPzzHO51HrZre2WaApHMIa6lUp5My7/iB2uKbJM8x9/jyIrmL/0ZQRx+KdX0llG22AHKyPH9uLl9hqUwZ7hAqNx6LBY6ewZGrdpnT4igqAdO+nLz6XvomeHbAvDctBJOre9eU1MFjgdDFZfdVkmOcpEeYPlkZv7OtTYSOeH7+O3YCF+8291kDzVeA4vjYGc0DljyvWXXQSd94TVxaV13WgkgcSIsQspg596Gl1UNC2v/AFnr2ejGJdGLKSxv5naXvdGQN5rJmXkf/GLX7B161a2bt3Kj3/846nSyW00JhMhzzyPtaIcy8kTHq2xLGIhNqeNSy2uG2xBENDEZuNsKEKxuXb4GxHsg49B88h5apZjRxgsKSb0uRfQhdwqZjrTdBEfrTdzQ2ePKTcc6hCQosf+OwxP+QEmHAARsGEjhvgEWl7/i0dhGy+NgYXmbHJbChiwu54dJYWlgNbAQLnrcfmUKH+sNid1j1DXUkWWafnTHxH0ekJe+OzN1/vs/RS0Xr35kB0lp8gMlOeiiZ6DII7fpaW0vpu4MOO4/eNFrY7wL38F58AAbbt3efQZ5pvnohW1D1w/G4+N/JkzZzh16hTvvfcee/bs4dq1axw65Fmf9qnAuHQZXrNSad/9tkc3cZwxhgifMA9CNnNBduBwsfpVFASSIv0pf4SMvMNiof293XinZ2BccWuaU5+9n6tt11hgzkY7zg3qqL08nPtsGL9jYFm9BS+9RFTI+PNcBUnC/MWXh8M2b7zm0edYHrkYu+zgkhsHsIKkQROZwUB5rsvb+OSo4R3JyMPrUcBy7AjWinJCn3vxjnYW55tycShOlkWMHaqR26qRB3rQxIzt5cPwoKHqpt67ToHSR0UTsG4DPadOMFjufnGTl8aLnNA55LYUMORmJta9xGMjHxISwne+8x10Oh1arZbExEQaPYyJTwWCIGD+3BdQbDba3n7DI/llEYuo7W2grtf1KkXJnAxaA8461wuzkqL8ae4coHfgwfkh3Eva330H2WYj9MXP3hEzv9RcgNOpMC8gZ0wDKA9YhnOfJwjVwHC8NTHS/65dBfURkQRu3U7fpYsMlLg/pzPKN4JI33DONV1yS06KmYOztwO5y7VtfJC/gSCj/pHZ7dk7O2nb/Q7eGZn4LbkVtlMUhdO1F4n3iSPCJ2xMWUfdVe6206tu7sUpKyS5MOovaPsONIGBtLz2ZxSn+2msSyMWYnUOkefB0Jl7hcddKJOTb8W/qqur+eijj3jjDfeN61SiCwsnYPNWOt/fi3HpcnwyXO/nDbAwLJs9FR9yuvECz8960iUZQdKgiUjDUXcVRVFcGlQx4qmVN1jInkTb5JnAYEU5PadPErBpCw6/ICqvNlNb0UlrYw89fUNkyJs5cKkSra4Go8mAKdCbuOQg4pOD4caDcyIj3zdop6Gtn4VpZpf0Cdi4Gcvpk7S+8d/E/uBf72hwdTcEQWBx+Hx2l71PY18zEb5jG55Po4mewxDDuxJpnGKuT5McZaK4tsvl39RMpv3dXeB0EPqZz9PW3EdFSSvtLf20tfYQMjBcN/GboyfQ6iSCQ32JiDURFWvCHGnEUXcFfUTSXXZ6wzuipMi7G3nRYCDk+c/Q9Kuf03340M0EAVdJ9I/D7B3CmcYLLBmj5mM6mHSr4bKyMr761a/yj//4j8TFxbksFxQ0/tbaFUJCxv5HDfr88+RfOk/X7reIXbHQrZsY/FgcnUNuYwFfXfICOhfbh/akL6T9o3xMYg+64Ki76mo0eaOR8mnsHGTDOJ9jOhnvu3UXxenk8v/7BgMhCdRIGZT/fPjQ0tdPT3C0F1WdxWTFzCI9LBlL1wBd7QM0N1ioKGlDoxWJNXaTrosjPjVjXEPX1je8G1qQGe6y3tLLL3H9R/+BM/8c4Zvdu4k3+S1nT/mHXO25Sla8a22ECfGj3hyP2HSNkPUvuCSSnWbmXFELTlEiPHh08c/9YKp+BxPRW1ZO9/mL9K14miv762lt7kWSRELD/RBCB2mXa9iZvhnFKWAdsNNQ20XemRpyT9dg9NeTYtczb03mhLrWtvUTGeJLQmyQSzoFb1iF9cIZOvbtIW7zOnSB7g2gWZ+8nNcuv8eQvo8o4+iUT7g/3+0IkzLyubm5fPOb3+S73/0uW7dudUu2o6PP4+yBkBC/m/2jxyLgiado+vUvqdjzEf4rV7m19tyALE7WXOBoyYVxT/M/jWwavtnbLp9FN+dOozGerrFmPy6Xtk34OaaDu3237lC1/xgXB+Lp8I9GX9PNvKUxxKcEE2z25Z2yfbQ3lLJ2+bP4am8ZMUVRaKq3UHathfLLViqU1ZT+6RILV8Tja9SP0vXStSYkUSDQS+Oy3kpSBl6paVS/9gZCahaSrzsOh0BGUBrHKs+xLmwt0gRpnbfjnTSP7jPv0lrffLMN7kSEm4bz/c9faWDZ7LENxb1kKn8H4yHLMud/s4fiuKcYavQiNBxWbkwmKS0UUavwT6f/N7OD08lIj7wpM59YhqwO6qu7uHyymEuWRVw7LJJtLWb2vMhRITtZUSiq7CA7JcStz+O/8zm68v+J0ldew/z5l9z6XBl+mYjCXvZfO86TSaPtoqffrSgKHjnHHsfkm5qa+MY3vsF//Md/uG3g7zW+OfMxJCbRvvc95KEht2RTAhLx1xndKmoQ/YIRTRE34oOukRxlorq5B7vj4Stfl2WFvFOVHLis0OMTxsKVcXz264tYuDKekDA/HIqTiy35zA7JuMPAw3BIJCLaxLI5Cjv8dzF7lo6yolbe+O0FruY2jIrdl9VZiAv3GzdrYiwEQSD0uReR+/vp2LfH7c+3OHw+PbZeijtLXZbxTsoBRR6u3nWBkSysh7UoqrtzgPd+e5oCUvE2evHEZ+fy1BdyyMiOQG/QcKW9iEGHlUVhoxvS6Q0aElND2Jx0nY1BRwiPCeTM4Qr2/HcBXR13Zj41dwzQb3WQ7EKo5nZ0oaGYVq/FcuoEtib3zhqNOj8ygmZxsTkf2Y3pYPcKj438H/7wB4aGhvjhD3/Ijh072LFjx7TH5EcQBIGQZ57Daemm66B7vedFQWRBWDZFndfptbmewiZFz8bZdB3F7tpDJSnKH4dTobr5wfLkJ0tP9yB7Xy/g/Kk6QvpreGp7FPOWxqLT39o0FrYX028fYEn4gnHXcdZfRS85WbY1mxf+agHhMf6cOlTOwT1FDFkdwI2sieaem2cc7qCPjsZ/5Wq6jx/F1tbqlmxmUCq+Wh+3DmD1EUkIet/h6l0XEAWBxEj/h/Lwtaq0nd2v5tHVaSXTXsQzX19B+KcORS8052LS+5MSkDjmGooi46y/SnhCOJ/5yiIe25ZKd8cAu17JpfA2Z2BknKIrh66fJnDbdkSdjrZ333FbdoE5B4uth9KuCrdlpxqPjfz3v/998vPz2bt3783/XnjBtXjj/cArKRnfefPp/Hg/Dot73tCisHnIiuxWrxJN9ByQHS4PEhk5BHqYUimbGyzs/lM+Ha19ZHaeZZHZQkDG6LbBF5rz8Nf5kRY4fkzbUVeIZE5E0HlhNHmx9ZnZLF6TQFVpO7teyaWjtY/y+m4cTsVtL22EoO3Dk4Xc9eYlUWJBWDZX24vos7s26UsQJaTIdJwN19xIpRzOwuobdK9D6oOKLCucPVrJx+9ew1djZ2HtHnKeWomkuXMX1mPrpaizlIVhOWN2JAWQ22uHi+SiZw+3C8k089yX5xMZa+LkoXJOHipHlhXK6rvx9dISFji6J9Ld0PgZCdi0hf78PAbL3EupnB2cjkEycKHZ9fqIe8WMr3idiOCdT6M4HHS8v88tuQjfMKJ8IzjvxlgvKTwFNDqXQzZGHx3mAK+HxlOrvN7OvjeuoDdoWGtuwdx1nZCdT426rt8+wLWOEuaZ545/Aw/2IHfUIEXdyo4SBIHsRdE88dm5yLLMnv8uIDdvONU10UMjrzGZMK15jN5zZxlqcD1tFmBR2HwcipN8N1LlNNGzUQa6kTtdS6UccQQqHoLh3g6HzIH3rlFwvo70LDM5VXsJTI7FJz1j1LWXWgqQFZmFYeMPiHHcyLy6PXXSx1fPlqczmbsoimt5jezfdZXyum6SIv09zlAKWL8RyWSi7Z233GpXoJO0ZIfOpqDtqtvdS6eah9rI68xh+C9fgeXkcewdrrd7heEy9treepr7XdvKC5J2eORb3RWXfwxJUf6UN1geuF4X7lKY18CB964RHOrDtm1xOE8dwLhkKfrI0ZlG+a1XcCpOFpjH7zPivBG31oyR+xwW6c+Tn83Gy0dH1dlaYnz1GH08n+kauHkrol5Px9533ZKL8g0nzMfMxWbXu1tKkcMGzeliXD4u3IgoCDdDDjMVu83JR+8UUl3WwfL1ScymAqW3m6Ando55/fmmXGL8ogj3GT8t1lF3BTEkHtHrzjYFgiCwZE0iqzanUF/TTVC3jQSz55l8ol5P8ONPYq0op/+ye31tFoblMOS0caXtmsfvPxU81EYeIHDLdgA697vXU3y+ORsBwa3tliZ6DkpvG4qlxaXrk6NM9A3O7CEi1/IbOXmwnLikILa/kMXg4f2gKAQ9/sSY119sycfsHUK0X+SYf4fh1sKCwQ8xOHbMv/v5G3jiM1lYBTD3Oago8XxYg+TrS8CGTfTl5WKtrnJZThAEFpjnUmGppmPQtT5Eom8gYkCky4eveq1EjNl3RnvyQ1YHH7x9hYaaLtZsmUV6eiCdH+/HO3MOXomju4o29jVT39c45oHrCMpQP3JrJZqo8etg0rPCSV4cjRfQXdzOkNXzkJdx2XK0ISF0vL/XLYcsyRRPgN7E+ZbpDdk89EZeGxSE/4pVWE6ddGvmp7/ej7TAFC4057l8Qj7iebp6E4+UWc/UuPz1q82cOFBGbGIgG55Mh54uLKdPYlyxCm3w6CKvTmsX5d1VLDCP3xJ2+ECtECkyA2GccA5An13mmuzEy2Tgk33F1FW51u55LEzrNyL6+tL+3m635Obf2I3ktrru4UlRmTibr6M4XDugT4z0p7KpB4dz+rM03MXhkPlodyGtjb2s35FO6pwwuj85iNzfT/ATYxcbXmzJRxRE5pnHL4BzNJaAIk9Y5QrQ7nBQJUK/xcoHb129eWDvLoIkEbj1cYZqqum/4vo53UgSR0lnGT226UuweOiNPAy3IxYEwe0JQQvCsuka6qbK4tqIP9EYiuAX4rKRDwv0xtdLS9kM9NQqSto4uv86UXEmNjyZgSSJdH60H4DAzVvGlBlp/jZ/glCN3FE3fKAWNTpWe8f711uQgZVbZxEQ5M3H716jucGzQRuSlxeBG7cwcK2QwUrXsyGCvQKJN8a61dROE5UJTgfOpusuXZ8U6Y/NLlPfNrOalcmywif7immqs/DY9lQSU0Nw9vfTdfBjfOZmY4iLHyWjKAq5LZeZFZCEn278EIuzvhC0BqTQhAl1KK+3EBjux8Yn0mlv6WP/rqs4PJy4ZVy8BG2w+978wrAct5M4pppHwshrAwMxrliF5fQp7G2ub+3nBKejFTVu38TOphIU+e5egyAIJEQYZ9x2vKnewifvF2OONLJpZyYajYi9q4ueUyfwX7YCbeDYlYUXm/OJN8YQ4j1+5eHIA1KaYCsOw6lxXnoNcZH+bHtuDt4+Ovbvukpnu2vZLp/GtGYNoo+P247A/LC5NPQ10djX7NL1UvgskDQ46lxzBG4dvs6cSVGKonDyYBlVpe0sW5dIUtpw19Huw4eQBwcJ3jG2F1/dU0eHtZN55rkTru+oL0QTkTZh10m7Q6ampZekSH/ikoNZ93gazQ09HN1/3bOZAhoNgVu3MVRdRf9V1w12uI+ZKN8It2zIVPNIGHm45c13uBGbN2gMZAanDx8Wyq55AFJUBtitOFsrXbo+MdKfpo4B+icRM7yf9HQP8vHua/gZDWx+KhOtbjj9revAfhRZJnDz2IVxDX1NNPY3Mz9sfC8ehr00MTAK0WfiUvLyBguzYgMQRQFvXx3bn5+DJIns31XI4ID736Vo8CJg3Qb6Lxdgra1xWW5eaBaiIHLRxRnBgkaHFDbL5cPXQKOeAD/9jDp8zTtbS1FBE9lLopkzf/jwXbYO0vXJIXzmZqOPjhlTLrelAI2oYW7I+Ls4uacVpbdt+D6bgJqWXhxOhcTI4YPZxNQQFq9JoLy4jQsnqj36XMYly9AEB9Oxzz1vfr55LtU9tbQPeh5SnAwzysgPWR28/+YV6mvcH7ihDQjAuGIlPWdOY+9yXX5+aBa99j5Ku13bxmsi0kAQXL6Jk24MMahsfPA9tSGrg/3vFKIoClueycTgNdzbx2HpxnL8GMbFS9GGjN1w7VJLwXCsNXT8WKtit+JsLr2rFz845KC+rY+0uMCbrxlNXmx6KoOBviEO7inC6UEM27R2HaLBQOf+D1yW8dP5khqQzKWWApdvfE10JnJ3o0sDvoUbRVEz5dymuqydCyeqSc4IZdHKWyGZ7uPHkAf6CdyybUw5WZHJbb1MRlAqXhqvcdcf2elpIif+jYzsjm9Pr527MIq0rHDyztZSfLnJ5c80gqDRELRlO0PVVQwUul7dPtIeJW+aQjYzyshrNCI93YPsevUSA/3u554GbtgMikL3oQMuy2QEpWKQ9C7H1AS9D2JIAo5619Km4iOMCMKDnwstywqH9hVh6Rxk45PpmG4rLuk6+DGKw0Hg1rFvYJdjrU0lIDsnzJoAqGzqQVEg9TYjD2COMLJq8ywaa7s5c9j9SkPJxwfT2nX05V5yq5R9vnkundYuKi2u7QCkKPcO6JMi/enosdLV616LjvtNV8cAn7xfQkiYL6s3pdw8XJftNroOHsA7LR2vhLErWMu6Kumx9TL/LqEaZ/01BN8gBP+Ju45WNFgIMhow+d7qdyQIAis2JBEVF8CJA2UeneEYly5DExBI50cfuiwTNHJ248YB/VQyo4y8pBHZ+GQGg4N2Du0pcrvBmTYkBL8Fi+g+fhRnn2sHWVpJS1ZIJgVthdhdiLMDaKIykNsqUYbuHh826DREhTz4aXK5Z2qoq+xi+fokImNvhVKc/f10HzuG38JFN2dyfpra3no6rJ3kTODFA8MPRkk7PE1pAioaLAgwaigzwKxMM1kLoyjMa6TIA2/NtH4DglZL537Xb+KskAw0ooa8VtccATEgEsHbhNNFR2AmFEUNWR18tLsQSSOyaWcGmtt6CfWcOY3T0j2uFw/DOz29pCMzKG3caxTZiaOhaHje712Kmyoae8ZsZSBJIut3pOHjp+fgniIG3ZzpIGg0BKzfyGDpdQYryl2Wm2fOoqGvieZ+19Krp5IZZeQBgs2+bHtmDo11Fs4ddS3ufTuBm7egDA3RffSwyzLzzHMZdAxS3OFaRoQUlQmK4vK0qJE0uQd1pmddVSeXTtWQkmkmfe6dHXCicuAAACAASURBVBHbDh+gR7LTMyuaovMHyTu6m4uH3iT38NvkHd3N1dMfcvHihwT2wSxD5IQhDWdDEVJYCoJm4uKm8gYLESE++HiN3Qp68eoEouMDOHWwjPYW97JSNH5G/Feupuf8Weztrh3SGzQGMoJSyW+94lK6rSAISJEZw2MjXbg+xuyLViM+sHF5RVE48mEJvd1WNj6Rjq/RcPNvTruNxoMfMJgURf1gG5dP7CXv6G4uffIWFw++weUTeym6eIjakktkaeOQJrgF5LYqsA/eNR7feWPXM948V4OXlo1PpmMdsPHJvmK37zv/lasQvX3c8uZzQucgIExLls2k+8lPB3PmRVFe0srli/WYI40kpro+eEMfFY3PnCy6bgwEEPX6u8qkBiTho/Umt/UycyY4FBpBCk0YnhZVXwgL19z1+sQII8fyG2hs7ycqdHJ99qeavh4rn+wrJjDEh5UbkrFZ+2mqKqapqoiOpir6ezohzgcuDYfANDo9Gq0eRXYiyzJ2mxUUhUzgk/If4uXrT3BEPCGRSUQmzcbbb9gbl/u7kLsa0CUvm1AfWVGoaOhhYVrouNeIosBj21PZ9cdcDu4p4umXcu5okHY3AjZspPvoYbo+OUjo859xSWZe6BwutxVS0V1NcsDEqX0Amsh0HGWnkTtqkYLjJr5WEokL83tgjfzV3AaqyzpYujaR8Gh/Oltqaaoqpr2hgrb6cpxBDsAOx3YjShKSRocoaRAAm3UAWXaSAFB1hd3n/x/8As2YY1IIj0sjJCoJjXb4of//s/fegW2d97n/B5sACQLcm+LeIiVKovamSG1ZtmzHcexMN2naJl0Z7W1/t73xbX5x2ia5TZq0uXG8Y8dT1ha1JWuLU6TEvfcEwAUQwLl/gKAGCZxDWlJkx89/pt4DHAN43/N9n/f5Po+L3pKhjMzwej91M/DxdyMkXM/qgmROHarhyrmmO84PxCD38cG4YSMD+z/E2tGBJjJS9BqDxp9kYwLXesr4ojBzp+/9widykQdYsTGRnk4Lpw7VEBqhR2/wEb9oEoFbttP6o/+N6expAvILRMcr5AoWhmZzufMaVocNzQyBwrdDJleiiEiTzMtPmZV1mB6qRd7hcHJ07w0cjgmy5js5+8Ev6GuvRxAENDo9Ro0/hu5xYrbvISRnMRqt39SEdKNusJ7/vPhLdkasJwo9fe2N9HU00FpTSvHJdwiKiCMmZSFRGlc1JaaP7+wbYcxqJzHSu1+NVqcmf2c6H/6ujNNHasnfkSbZv0QVGIQ+bymms2cI2r5Lkt98ZlA6KrmK4p4ySYu8uxq1t1WJLvLg+o0cvdLKhN2BSjmbIJz7i94uCxdONBA9Tw7WYg6++CLDpj5AhiE4nOAxOb4TGuK+/A30ASFodPo7vgdBEHil4g1qu27wtXm7sfR1MdDVTEP5eWpLTqNQqohKzCY+axl+rRXIQ+KQ+Xj/PuraTaiVcmJE5lJ6TgRd7WaKz7cQFWskOk56OIhxYz6DRw8zePgg4V/5mqRrFoXl8Lvq92geasOX2TunzhWfOLrGDTe3JggCx/bNbsulTU5Gm5zC4NEjknMcF4XmYHNOUNl/U9J4ZXQWgqWXiUFx/XRogBY/reqh41wvnijD0nUag/IA18+9zdiwiYylheR//m/Y+dw/M692gFh9FPNWbcLXP3DaAg9Q0nsdh1bN0qyNJC9Yw/JtX2THc//Mli/9D+av3I7DYaf09PscKtpL+YQek0OcawWmpHHeEBlrZMnqOOqqerhRJk3H7kZgwRYXrXfqhKTxPkoNWcHplPRUSKJs5Doj8oAoHO3SCoGESAMOp0DzLOmn+wnrmI2id47irzrHaOfbVF89gZ8xmCWbnuKRP/0XVi/aQWRdHynrdxISnYiPr/+0B63daad8sJq0mBziUhcxf+U21j72TR755g9Zs/sbxGXk0dlUxel3f8GJxm4aBX/X7tAL6tvNxIXrUSrEl7dVm5IICNJxfP/NWfHzSr0/hlVrXLTegDRfrAUh85HL5Fxse7A2B5/YRR5csrk1hcl0tZm5+pF0bTO4sj7tA/1Yrl2RND7JGI9e7Sc5oNddkY41iHNwMpmMpCjDQ9PwYurv5OQ7v6G1/CV8lE3EJM9n/RPfYuuX/4GsFVsJCp/HSGkJEz3dBG7e6rFCdgpOSnrKyQxMRau8c6flHxhGxtICCr/wXQqf+R7RPgKdNjlFr/8rZ97/FQNdM3cZ17eb8PVRSraOzV0eS0x8AB8dq5sWKOENmpgYdJlZDJ04hnNC2uTPDc3GMjFM7aC0syJFVCaOrhoEu/jrux9qD0MhIAhOWqqL2fd/n0dhO42PzyjzV25n59d/wNrHvknC/OVotL4MHj2MwmBAv3SZx9e6MVDDuGN8WgqbUqUmIj6DxflPsuvrz5OXtxad3EllUyP7fv0/qfhoP9ax6Q+8CbuDlm6LZGdSlUpB/s50xscmOHmwZlb694DCzS613rEiSeP91L7sStxCSpD4Tu9e4hO9yAOkZIaRmhVG8flmOlqk+8b7ZuegCgtn8MhhSV+sXCZnYch8rvfdwCrBOlRmCEfmG8hYkzQ9bWKU/x/cO3xs2MTxd1/k8Mv/P90t1xFUqWx+9h9YtuVZQqOTphZzQRAYPHwIVWgYfrmejaTqhxox2SzkevEhAdArIUthZnP+drJX7aC/s4miN/6Vsx/8N6b+OxUyDR1mEiKlW8fKZDLWb01FqZJzfN/NWennAzdvxWE2Y75wXtL4rKA01Aq1ZJWNMjoDHBM4usVVGkY/DUH+PlM7mT8EBEGgo+E6R159gQsHXsJqdRKauJVdf/LPZCwtwEd3K7fU2trKaOV1AjZuQq7ynJVc3FOOr1JHasB0szI3FEoVEbIxlurt5D/5bcJiU6i6VMSBF3/AjctF2G97CDd1WXA4hVnZTweH+bF8fQLNdf1UFkuXzqqCgtEvXoLp7GkcY2OSrsmPXUtupHfPnXuNT/wiD7C6IBm9wYcT+29is0qTOcrkcgIKCrE2NzFWI001szA0mwmJlI1LQZHBWHMFglN8YXFzzA0dD75Ss0/YuH7+IAde/AHVJRfwMWZjmtjChj1fwBAUPG38eF0t440NBGwqRCb3/BO61lOOSq7yKosDpqSEuriFpOdtYvvX/on5K7fT217PkVd+RPHJd7GNjzI6bqejb0QSVXM7fPUa1m5OobfLwrVZ7Pi0aeloYue5CgEJ36FaoWZ+UDqlvdcldUgrwlNBppBM2SRG/eEsMMwD3Zx575ec/eC/sU9MMM4yfEIeYe2OQuSK6WcEA0cPIdNoMKz1LDywOSYo76skJyRLNCvX0V6FIiKVoKhEVu74Kpuf/T4hUQmUn9vHa//2dzTfvIYweSgPs88YmL8oitiEQM6fqJ+VNUZAwWacY2OYz56e1fs9SHwqFnmVWsHG7WkMW6x8NIsmGP/lK1H46Rk8ckjS+CnKRqIMShmVgXNsGGe/uMFZ/JR3+IOt1DqbbnD4lR9SefEwkQmZLCn8Fh09SSxelUqYBwna4NEjyH198V/hWQnjFJyU9la4msmU3hVM9vZKZP5hyPWuB4pK7UPG0gK2fvkfSJi/nLrSMxx48QcUXzyNgCB66DoTElJDSMsOp/hCC50Su0dlMhkBm7cw0d0l2X1wUVgOwxMjkmLfZGotirBEyQf0iZEGBi1WBszeOel7CfuEjbIzezn8yg/p72pmwdrdOLTbsQkx5O/MnBacDTAxMIDl8iUMq9eg8PUcWn5joBqrw0ZuWLbHMTCpvBrqQBl1S1VjCI5g9SNfZ/3jf4HWz5+LB1/m9Lv/SWNTCyFGHwyzzBiQyWSs35aKSq3kxH7pOz6fuHi0KakMHiuSfL73oPGpWOQBwqMNLFgWw83yLhprpVkKy9VqDOs3MFJeJqnDcYqy6b8pibJRTP4o7RIqNY1aQXSo7wOr1MZHLVw48DJn3vslcrmCdXv+nJx1n+fkkQ5CI/UsXD6zv4itp4fh0mKM6zZ4lZ/WDTVisQ2TG+p9ayo4XY6MM6lqfHR6Fuc/yaYvfBf/wDDai/eySHmeML+5UVorNyaiN/hwfN9NJmzSJqR+0RKUgUEMSuySzghMRaNQSz67UURl4uxrRhgXP1B1V6cPygKju6WGw6/8kJtXjxOXnsfWL/8DViGZjhYzKzcmYgiY2X5g6HgRCIKocq24pxxflY4U48xdsG442qsAUMwgnQyNSebxb/4juRseZ6CrGWP7O2T41OOcw4Kr81WzpjCZ3q5his9Lc54FVzU/m/O9B41PzSIPsGRVHEGhvpw+VCP5pNy4fiMylUryJM6dpGyu94k3Osl1RlQhsVM/UjEkRhpofABNUW21ZRx++Ye01ZWStXwLhc98j9CYZE4fqsE+4WDDtrQZKzSAoWNHQC7HuH6j1/co6SlHJVeSKUbV9DTAxPjUA3EmBIREseHJbzFkXE6AfJBTv/sxtSVnZu0mqNYo2bAtDYtpnAsSG+lkCgXGjfmMVd9kvLlJdLxKoWJ+cAZlfdIoG9fDTcDeIf4biQ3zQ6mQU3+fKb0J2zgn3nuJU+/8HJlMzvrH/4K8ws8zNqbg4qlG5iUGkp4TMeO1zvFxTGdO4Ze7eMZMATdsjgkq+qpYIIGqsbdXukJkgmJm/He5XE7ygtUse+xv6XZE4DNwhWNv/jumvtl3PCemhZCSGcq18830dErzgJ863zt65KFMeftULfIKhZyN29OwWu2cOVIr6QNX+vvjv3wl5vMfYbeIV0iJs1TZaOOzZ6WgGLc56Oifm12uGGzjo1w8+Aof7fsNWr2RTU9/h8zlW1AoVdws76K5foCN29IICJpZueIYGcF07iz+S5ehNHrW+bqomuuSqBpHWyXIZC5jNy8QkHHdHMVE0lOERCdSfPIdPvztvzFqmV1Ie0SMgZwl0VSWdNDWJM2ozrB6LTKNj+RCYGFoNiMTo5JM7eQh8aDSSrI4cDdF3U8VVm97A0de/RE3rp4hbfHGqQLA6RQ4eeAmSqWctVtSPB58mz46i3NsjIBN3qv4qkmqZmGod6pGEAQXHx+Z7jVEBqBtSKDcsYTkVU8xah7g6OsvcOPKMUldxbdj1aZkdH5qTuy/Kcl/fup8r6mRsdqaWb3Xg8CnapEHCAr1Y8mqOBqq+yTHwhnzCxDsdkynToqOdVM2lf03GZeQ7qOLy5asoHBzzfeDsultq+fIqz+ipaaYzOVb2PTU32AMdnXqWUzjfHS8nshYA3mrPHf+mU6fRLDZCNi02et71Q81YbZZRCcwuLbi8uA4ZBrP3C1A98AoI+N2EuZFsWb3N1i08Qk6m2o5/MoPaa2RnrMKkLcmDmOglpMHqyWlBSl0Ogyr12C5clmSg6mbsinpEVdWyeQKlJFp2KXu9qL8aeqy3POkKKfDQfm5/Zz8/c8AePRP/o6cNbumeh/KrrTR3WFh1aYkfP1mfnALTidDx4rwSUyaMdrvdpT0lOOn8hWlapxDHQijQ6JWBuDSx6uUcrIXLWXzF/+eyPgsys9+yKl3fsGoRbrzrMZHyfqtqQz2j3LlnLSDev/lK5H7+UkuBB4kPnWLPMCCpTGERug5e7ROklulJjISXdZ8hk4exzkhzvfmzkJl4xObMamgEJ/EU01R95BzdTodXD9/kJNv/x/kcgUbn/wrspZvmVJECILAqUMuffD6ranIPNA0gt3O4Ilj6NIz0MTMvG12o6TXRdWIqWoE2xiOngaUUdImMEBClEs+mZSzis9965/RB4Ryfv9vuVL05h1SOm9QqhSs35bGiMXK+RPSDuoDNm4Cp5OhE8dEx6oVLkVRmVSVTVQGgqUXp1m8KEmMNGB3OGm5h01Rw6Z+Tvz+Z9y4fJS4jKUUPvM9IuKSp/59oG+EK2caiU8JJjnDs53ESFkpE709olX8xCRVkxOSKUlVA9xx6OoJDR2mqSYoH52eFTu+wpKCpxjoaubIKz+irVa6b0xMvIuSKrvcKsmtUq5WY1y7npHSEmw9PZLf50HgU7nIy+Wuk3Kbzc7Zo9Jom4BNhTjMZiyXL4mOdVM2JRIoG7lmUkEh4fDVnRR1rw7WRi2DnHz7P6i8eJh56UsoeOa7BEXcGY59o7yLtqZBlq9PxN/o2cfbcvUyjqEhjJsKvb6nU3BS2lNBhhSqpqsaBIdXPt6N+g5XElTEbVSSMTicjU/+JelL8mmouEDR6z9mqFeazjk8yp8FS10H9S0N4mEOqpAQ/HIXYTp9EqdVfAeXG5rN8MQItUPi3P/UAb0EXj7xHjtStlQXc/TVH2Hu72L5ti+RV/h5VOpbjWsumqYalVrBmsJkr/0Jg0VHUAYF4bfQc+8EQNVAjYuqCRHf6dnbKpH5hyLXe/encidB3S6dlMlkJGQtp+AL38XXGMxH+37DteNv47BLO7hfsSEBX72GkwersdvFd07G9RtBLncdPD9E+FiL/L59+9i6dSsFBQW8/vrr9+qePEIQBFqqixkfFa9iAoN9Z0Xb6DIyUUdGMXRM/PBELpOzYJKykaqycfY2SbIeToz0p6NvhNGPmRTV0VDJkVdfYKinnaVbnmHp5i/cMXnBRdOcP15PZKyRzIUzH6TBZPPTsSJU4eH4ZnlXyzSYml0NUCHiDR/2tiqXtXCY9609uCr5hEiXzPR2yBUKslfvZO1j38RmHePYG/9GQ8UFSQ/2xaviMAbpOHWoRlJ/RcCmQpyjo5jPnxMdmxGUilquklYIGCMlWw8H6F1JUR/38NVhn+Dqsbe4cOAl/IPCKXjme8Sm5k4bV3a5lZ5OC6sLktF5kSWOT/abGDfkI5tBN387SiYboFICvFM1gtOBo/OmpCq+xZ0ENYPsVx8QysbP/SUpi9ZTV3aWY2/+BMugeLWt1ihZtyWFof5RrpxtEh2vNBpdnkfnzuIYld5dfb8x50W+u7ubn/zkJ7zxxht88MEHvPXWW9TVSfdXngts46NcOvwab/3HP9HfKc6V3U7biKltZDIZAfkFWFtbGasWp2EWhsyX7GWjiJpUUEigbKZkcp1zq+adDgdlZ/Zy9oP/Qqc3UvCF7xCXvmTaOEEQOH3YTdN4PkgDV/OTtamRgPwCr81P4JLFKeVKsoK9UzUAjg5p1sJjVjvtfcMerWMBwuelUviF7xIcFc+Vot9x6fCrTNi8V9xKpZz1W1MZHbZKUtv4JCbhE5/A4LGjos1RaoWarGBpjVHuxjlHxw1Jh4SJH9MCwzLYy7Hf/Tv15R+RtngjG574Nn6G6bm7g5OLW3xKsKjT62DREWQaHwyr13odN+G0U9FXRbYEqsZlLexdeeWGm+JM8NBDoVAoWbh2N6t2PTd5KPtjWqrFPWRup226JeywA/ILEKzjmB6i5qg5L/Lnz59n2bJlGI1GdDodhYWFHD58+F7e2zRotL5seOLbAJx466fUFJ/yWrHJ5a6WdhdtI/4A0i9b7mqOknB4kmSMx0/lS6mEwzVFaLzLeliCv3x8hD8y5hbc7KZnbl49TmL2SvKf+mv0ATNzqDfLu2htHGT5ugSvNA24JrBc54v/cjEb4EmqJjAVH6V3V1Dn6BDOgTZJE7hpMglKrIvRx9efNY9+k6zlW2i+cY2iN/6VoT7v9E14lD/ZS6KpKu0UVdvIZDKM+QVMdHczcl28Ql84SdnUDTWKjlVGZSCMW3AOtImOTYz0p988ztDw7JOiWmtKOPr6C4yaB1n9yJ+Qs2bXjB2rU2oalYI1Bd5pGvvQIJYrlzGsXo1C591T6OZADeMOKwtF+ifA3V8ibi0M7iQo1y7HG6IS51P4zPcwBEVw4cBLkuibFRsS0Pm5aBuHCG3jMy8ObUoqQ8ePPTTNUXNe5Ht6egi5Lc8zNDSU7u77n3oSFDGPJ//inwiPS6fk1Huc3/ciNqtn34jAEF8Wr5xH/c1eGqq90zZytRrDuvWu5qhu766FCrmCnJAsKvpvYHN4/5G4rIdTJVXyWo2SyBDfWW/HO5tucPS1FxjqbWPZlmdZnP8kCuXMniHDZteBY2Ssgcxc717YE729DJcUY1i7TtR7v9HUgslmljSB3Q88KVvxuqkqTdzOQC6Xk7l8C+v2/BkT46Mce+PfaKz0fs6StzoOQ6CWUwerRWkb/aLFKAMCGSo6KnovWUFpLsqmV0IhMLmQSTmgv8XLSy8EHPYJrp14h/P7f4shKIKCZ75LZILnmMVLZxun1DQ6P+87raETx8HpxLhhk+h9lPRUoFVqvXrVTN1zexXy4FhRa2FwHbp6quLvhk4fwIYnvk3qog3UlZ3l+Fs/ZXjIcwOlm7YZ7BuVZIQYsKkA+0A/wyXXJN3P/cac/eSdTuc0X2ipplEAQUEfzzd999f+mpKzh7lw5B3Mv/tXNn/+m4RGxc04dtP2DFrqBzhXVMf8hdFeuUXDnp0MHj7I+EeniPr6c17vYb1jKR91XKLd3kJeuOdsypAQPabUXPqLfkuAehylwfvWNysxmI/KOggK8vPYlOSG0+Hg0rEPuHZqP4FhUWz5/J8REOqdXy/aewNBgEefziUweLp0MSTkltFU44fvIJPLSXx8F5og/bSxt+NA202UciXr0/LQqbzvDnov1WLz8SMsLROZyLa9bTJMJS4mcNq/3X6vd/59EfEpSRx981dcPvI6lv4W1ux4GpV65gfVo59fyG9/cZ6yS21sfcz7Q8q2YyvNr7yGbqQf37g4r2NzI+dT3leJ0+n0eK+uG9bTGhSJvLeakJDHvb6mwahDqZDRNTTm/TUnYR7o5fDvf0lPWyM5KwtYsflxFErPU7+/d5iTB2+SkhHGirWJXue1w2ql4expAvOWEJXpnWOfcExQ0V9FXnQOEWHevdudtnEs3fUYlm4nSOT/sd80Rr/Zyu71oZI+Dzc27XmGxIxMjr/9G4re+DEb93yVxMyZD41DQvS0NQ5ScqmV3KWxRMZ47hMJ3riagXffZvjkcRK2zNw0OJv7/LiY8yIfHh7O1atXp/67t7eX0FDP8qq70d8/POfOzpAQPX19w8Skr8LHP5ILB37LO798ngVrd5OUs3rGH+XqgmTefbmYvW+Wkr/TG1+sRJ+3lO5jJ/At3OHVeyNUFoGvSsepukvEa2b+gYeE6OntteAwuOxFeyquoEpd7fX/LzJAy/DYBNdruokI8vz+Y8MmLhx8md62OuIzl5G7YQ92mZreXs+detUVXdTd6GHlxkQcgnPaWPf9AjjGxug6egy/xUswO9Xg5XWdgpPzzddID0xmZMjOCJ7HCoLASH0ZivBU+kTsfwVB4EbjAAuSgr3e68yQs2Ln16m8cIiqS0W0N9axYvuXMARNfwj6+KnIXhzF1fPNRM4z3JFjezeUucuQvfl7Gt7+gPAvfdXr/WcY0rnYVsyNvjpCZZ4fvgCEpTNWc5aerkFkCu9TMzZMT0Vdn8j/v6u7+fLRNwBYueOrRCfnMDDoeefrdArsfaMUpUrBsvXx9PV5FzkMnT6F3WJBt3aj6L1c77vB6MQYGf7pomPtreXgtGMLSBIdWzvZmRrmrxEdezf0IcnkP/0dLuz/LYde+znJC9eSs2YXihk+/0UrY6m90cN7r5ew50u5KLz41evXbaT3zddpuVQ6Lbxc/Hc7M+Ry2ZyK4znTNStWrODChQsMDAwwNjbG0aNHWbNmzVxfbs4IiUqg8JnvERaTSvGJd1z0zfj0hSM4zI/cFbHUVvXQWOPd2yZgUyGCzYbpjPfDE4VcQU5wFhV9VUyIUDbygGhkWn9JUsoECdvxzsYqjrz6Iwa6Wsjb/AXyCj8/Y2jH7RgZtnLuWD3h0f7MXxwleh/mc2dwjo8TICKbBGgytzJkNUmSxQnmHoThfkkNLj1DYwyPTZAwS+dJN+RyBfNXbmfto9/AOmqh6HUXfTPTWU7emngMAVpOHqzx6m2j8PPDf8UqLBcvYDd7p0wyg9JQyVVcbBU/5FNEZ4DdhqNHXLufEOlPU6fZY1OUwz5B8cl3+Wjfb9AbQyj4wneJTvZu+Qxw/Vo7XW1mCh/JxFeE3xYEgaFjR9HEzkOb7D18HVxUjY/Ch9TAZNGx9vYqkCtRhIuPrW4eRKmQERs2t+rYzxDEhie/TfLCtdSWnOb4mz9heGg6tavxUbG2MJmB3hGuiXjbGFatQq7VMvQQNEfNeZEPCwvjr/7qr3j22Wd55JFH2L59O9nZ4hP8fkCj9WP17j8hZ/Uu2hsqOPLaC/R1TD/syl0eS3CoH6eP1DDuxbddExOLNi2doRPHEOzeOdrc0GysDhtVA97bmacUFO1VovK+iCAdWo1yRl7elaT0AWfe/xU+vv4UPP23xGfkeX09cKtpanE4nKzbkipKrQlOJ4PHi9Amp+ATJ55/WdJTjkKmIDtEnGN3P+ikHKg1TD7okubgPHk7wuPSKXzmewSFx3L5yOtcPPQKE3ed5ahUCtZtTcFiGufSae+HpQH5mya7pL0nR/koNWQGpXKprUQ0MUoZkQYymSRePinKgM3upL13uizXPNDNsd/9O7Ulp0nJXceGz/3ljOqZu2EaHOPSaZc3TfYi8SJgtLICW2cHAZsKRH9Pdqedsr5KskMyUMnFCQRXqHsyMpFeC4DqlkHmhelRKeeuCFcoVeSuf4yVO7/GyFA/R157gZab0zn1uORgUjLDKLnQQm+X52pc7qPFsHotlmtXmeiXlhx1v/CxdPI7duxg//79HDlyhOee885f32/IZHLSlrjkYDLgxFs/o/LCIZy3ydcUCjnrt6ViHbNz7ph3tU1AfgH2wQGGi70fnqQEJOKr1EnSQysjMxDGzDgH272Ok082Rd1dyZsHujn+5k+pvnaCxJxV5D/11/gHhYu+L0DN9W6a6/pZuibeozfN7RguuYa9r0+0+QlcD5CSngrSA5PRKr1z8eCawDK/IGSGMNGxdR0mNGoFkTOcHcwWWj8Da/f8OVkrttFaXTJjMRAZY2T+oigqrrV7DaFRh0fgm50z9nj/ygAAIABJREFU2SXtXZ67MDSboXEz9UNNXsfJNL7Ig+Ol7fYmD6FvD/cWBIH6ivMcfe3HjFqGWLXrORaue3RG6uFuCILAyYPVyBUy1mz2Lql1Y7DoqCv5aclS0bHVg3WM2cemJUDNBOeY2RVwLuFQ3u5wUts6JPnQVQzRSdkUPPNdDMGRXDj4MpcOvzatGFi1KREfnYqTB6q9WhIbN+YDSOqSvp/41HW8BkfGTzV2XL9wiBO//z8Mm249Sadom0rvtI3LWS6MwSLvzVEulU2mJMrGTU9ICYlIjPSnvW+YMasdQRCoKzvH0ddeYMTUx8odX2XxxidE6Rk3hi2zo2nA5RmvCgnBb8FC0bFN5lYGrUOSvGoEpxN7xw2UURmSFpKGdjMJEf6iB9BSIZfLyVxWyPonvoXgdHLirZ9x/fzBO6xpl6510TYnDlR7pW0CNhXisFiwXLzg9T2zgtJQKVSU9EooBKIycPY0INi8Jw0F+bs8090hM+OjFj768DdcLXqT4Mg4Nj/7faISpScQVVxtp7PVxMqNSfiJ0DQA1vY2Riuvu5qfvBziulHcU46Pwoe0QHFaZzbKq9aeYWwTjlkHyXiDr38gG574FpnLNtN84wpHXv0Rve23+ijctE1/74jXEBpVUDB+uYsxnTmFc/zBZQDcjU/dIg+g1mhZtvVZlm15FnNfJ0de+SG1pWenGk2maJvDni2JZXI5ARs3Md7YwLhIk9fC0GzGHVZRykY+Wb1KkVImRRkQBKiub+Xs+//FteO/JyQqkc3P/p0kbtUNd9OT0+Fk/dZUSYvlWEM94/V1GDeKNz+By6tGIVOQHSw+KZ39zWAdmWwQ8w6rzUFrz/A9ncBuuM9y5qUvpvLiYY797t+mogZVagXrt6W6OoJPeubHtWnpaGJiGCw66rUQ8FH6sCA8g1IJId+K6EwQnDg6vTfZyWSyqaYol3X0v9DZVEXOml2sfeybaP2kV7aD/aNcnKRpUueL767AVQTIJv1axOBwOijvnR1Vg1qLPDhOdKzbAmQuQTLeIJcryFqxlQ1P/iXIZJz8/c8oO7N3yh/JTdsUi9A2AZsKcI6NYZLQJX2/8Klc5N2Yl76Ywme/T3BkAsUn3ubUO79geKgPhULOhu2popbE/itXI9e5Aom9ITUgSTplE5WJo7Mawemd64+L8CNa3kh10S/oaasjd/0e1jz6jVlNXnA1PbXUD7B0XTxGieHXQ0VHkGu1GFatEh3rpmpSA5PQqcRf301FKESshQGausw4BeGebcXvhtpHx9LNX2Dljq8yahnk6GsvUHnxMA6HnYhoAzl50VSVdNLaOLO3jUwmI2DTZmwd7YxWed+dLY/JxWSz0GDyrrNWhCWBQi2pEIgPVhBuOcNH+36DTh9AwdPfIW3xRlFL3tvhdAqc2C9uIXw77KYhLJcu4L9yFQo/cbXHzcE6RiVSNeA6dFVGpotKa8HVBBXo70Ogv/juYy4Ijoyn8JnvEZ+1nJtXj3P0tRemqvpVmxLR+ao5vs+zJbE2MQmfxCSGisS7pO8XPtWLPLi2Xmse/VMWb/ocA90tHH75h1RePIIxUEPeape3TW3VzD4Wco0G47r1DJcWY/PS6DUryiYyHSbGcfR4Ptgb6uvg8r7/IlNZhlUZxOZnv0/ywjWzmrwA5qGxKQvh+RIO0gDGe3qwXLuKYc1a5D7i/HqzpZWB8UEWhUrbXTjaKpEHxiDXiS/c9VNV2r2v5G9HdHKOa4eUlMP18wc5+toL9HU0kLfa5W1z8mCNR0tifd5SFAaDaCGwKDIbpVwpmkMgU6hQRKR4pfQEwUl9+XnGyl4iTN5JUOo68p/6GwzBIhLNGVBysYWeTgtrCpM9WgjfjaGTxxEcDtHkp6n3mAVV4zT3IFh6Z0yBmgl17SbS4gJm1aMzW6jUPizZ9DnW7fkznA47J976GVeK3gTBxvptLktibwf1AQWFTPT2MFwirrC6H/jUL/IwubWdv4ItX/x7IhMzuX7+AEde/RFhocOEReo5e7SWYfPMLeJuw6XBY947HKVSNq5wDNmMk9hmHaPk1HscffUFTH0dWMPXcnViJb4SlBF3w+kUOL7/JjIZbNiWJnkSdO47ADIZxo3i3YsAxd1uqkacfhHsVhxdtZIO1MBVpYUGaNHrZpfXORf4+PqzfNuXWP3I17HbrBx/86dcPfY6KzeEMzps5ezR2hmvkymVGNdvZLTyOtZ2z5YEWpUPmYGplPaUi6tsojJxDnbgHJlus9DX0cCx3/2Eq8fexBgaxUXHBkx+OTNaE4iht8vC1XPNJKaFkJQurcfFabUydOokvjkLUIeJH/q7qZr5wdKoGnferSJa/DdiGrHRZxonNXZ6k9z9QFhsKoXP/h0puWtpvH6Rg7/9ATbLDTIWhlN+td2jLYbfwkWoQkJEC4H7hT+KRd4NnT6AFdu/wtpH/xRBEDj7wa/Qq86Cs58TB27OSNu4nOWWYf7oLI5hz40hUikbmY8f8pC4OxwHHfYJqq+d5OCL/4ua4tMkzF/O1i//I3GZyxket9PtpXnFE0ovtdLVZmb1pmT0Bu8+MlP3MTpC19Fj6JfkoQoUf7AIgkBxTznpgSmiHa4Ajq5acNol+ccLgkBDh/mec61iiEzIZPMX/570vAJaa0q5fOCnJMR1UFfVTk3lzLs547oNyNRqBo94n8S5odnSKJuo6RYHw0N9nD/wEsff/CmjlkHyCp9m4xPfIjA0Yk7W1BMTDo7tu4mPTsXqAnEtuhvmCx/hHB4moMB7cIwb1YN1jNhHRbN+3XC0VyLzDURuEN+VNEwqi9LivHfP3kuo1BoWrnvUpcAJiuDqsbcY7XwPg76Pkwduzrjjk8nlGDcVMl5fx1jdzMXC/cQf1SLvRnhcOpuf/T4L1z3GyFAXfrLjmNoPc/H4zEG8AQWu5qih056To2ZD2SijMnH01DMxaqau7BwHXvwBpaffxxgazaan/4bF+U+i0fpOyeRm6x3e22XhytkmEtNCSM6U3oVsOu1SAUidwE3mFgatQ5K5Vkd7FcgVKCLEt+39pnFMI7b7cugqBpVaQ/aq7Wz90v8gMiGTwfYLBGgOc/HIBwz0TK/WFH5+GFatxnzpgtfkqKzJavZat/fwCnlQDDIfPfb2SiyDPVw6/BoHf/s8HfUVZC7bzNYv/yPxmUtdO9RIfxrmkAt84UQDQ/2jbNyehlY3s8fR3RCcTgaLjqKZFyep+QncqhoN6RKoGrfyShGVKWnnWddhQiGXkRTt2WLgfsEYHMn6J77F8m1fwum0o7CeRj52hGPvFd0h23bDIPF8737gj3KRB1fzQ0ruWrZ95f8jY2khamUvLeWvceS1f6e9vuIOSZ0mOgZdZhZDJ455TY6SStnYguKoHlex/8UfcO3479Hpjazb8+ese+zPCAyLnRoXGeyLVqOYVVLUhM1B0Yc30OpUoiEPt0Ow2xk8VoQhJxuf2HniFzBpKyyxAQpch66KsCRkKvGdRd2kNPBBV/K3w9cQxIrtX2HT098hNCYJDZUUvf481068M6XEcSNg02ZXcpSXwAhXY1Q6Jb3ilE2/PpbLVdc59NL/prW6hKQFq9n65X8ka8XWO/x3EqMMWG0O2nqlJ0U11fZRWdJBTl400bOogodLipno7iJw81ZpB7ROO6W918kOyUSlEH+QOPuawDqCUgJVA66O8NgwPWrV7KmqewGZTEZsai5bvvj3LM7/HD4+Noa7DvHhr5+nvvz8HUllU+d7JcWMdXo3P7zXmLN3zacFKo2W+Su3ET9/DXtfeofB3mrO7f01Gp2eeWmLmJe+mIDQaAIKt9D+7z/GcuE8hjUze2anBiThq9JR3FNGTsidlMSEdYy2unJabl6ju6UGQVATHqAlfdefEBKdNOOkkctkJET4z6qSP3OkFvPgGDufysFHK61CAzBfuoDDNETU7r9APD7D5VVT3FNOelCqpAYo57gFZ18L6sW7Jd1PfbsZjUpBdOjHb4L6uAgMi2H9nm9Qcr6Mio+OUlf2EXWlZwiJSiQmNZfopGy0ISHoFy/BdPokgdt2oNDO/JnkhmZT2ltB3VDjHaEZgiBg6uugvb6CpsrLDJv6UOEkZf5y0lbswMd35h3NlCNlh1lSW/+IxcrJgzUEhfqydI14J/Pt9zd4+OBUQpYU3BioYcw+JvlQfkp5JYHOszucNHWaWZPj3UX1QUCuUJCYvYJ56Uv48JW9jA6Vc/XYm5Sefp/o5BzmpS0iNDYF44Z8Bo8epuf4CXSFOx7Y/f3RL/Ju+PnrWb97Nx++UUJs7Dj+vu3UlZ6lpvgUGq0fYfNSUSZGYD22n7Sleag00yexQq5gQch8rnQVYzL1MjbUT31JK03VlQx0NeN0OvD1DyRtST4R/dfRWU34xnjnQxOjDOw738S4zY6P2vvXVV3RRU1lN4tXzSMyVvoWVhAEBo8cRh0VjXFBjqgpFbiomiGriV2JWyS9h6vBRZDU4AIu1UR8hB6FBJ3+g8KC5dkMDGiovd7CglwrA+1lFJ94m+ITbxMYPo/AyGAcNyfQHT9ExLbdMz64s4LTUctVXOsuJdShZaCrhYGuZrqabjBiHgBkhEQlkJm7GuPll9FFhKL2sMADhBh88PdVU9dmYv1C7woqp9PlQGq3O8jfmY5iFjYAY7U1jDc2EPr0s6LJT25c6y5Hp9SSJsGrBiaVV0ExyLXiFF177wg2u1M0Y+BBQqlSUfDEDt7+TTi+OhPRsSba68toqrqMUq0hNDoJw5Y1+C6Yz9ysGed4Xw/wvR56RMYYWbQynqvnmlm7eStLNj1FR2Ml3U036WqpxqoZAQ1U/eJ76PQBqLW+qDValGoNTrsd+4QN31ETS8wWDhf/AJhsqgqNISV3HVFJ2QRFxCGTybCVK7FefBPn8AByP8/qgMTJpqjGTgvpXpwRB/tHOXO0lsgYA4tWSKNb3BipKMPW0U74V56TTO8Ud7sSoOZLaIAC1wRGpUUeIl49Wm0OWruH2bIsVnTsg4RMJmNNQTK9nRZuVk/w+Je+g902QHtdOR0NlTQ0lOKM0dFYcwp5/Tl0fka0fgYUShVqjQqbzY5tfJS8QSuyktMcEVwGeCq1D8FRiaTnFRCZmIV2clEfrj6Mve066izPSic3Ly8lf+DymUY620xs3J42o8W0NwweOoBCr8d/pXjvBLjDuivJDXVJR8UgTFhxdNehysqX9PpuO4c/xJmNN/jpNazflsahdysJj0th19cfp7Oxiq7mm3S31NAx1IsuJoyksLgHdk+fLfJ3YdGKeXS3mzlbVEdw2ALiM/KIz8hDEJxYBnqo/Y9/ZdxHgSI6iQnrKLbxMUZMAyiUKpQqNYGBEbRoRtEHhLAlawcpWZmYzNMJkNstDuRerIdvP3z1tMjbrHaOvFeJUqlg4870WVkACILAwIH9KIOC0OeJe5DALaomIzAVrUgClPs97G3XXVYGEhpc3E1QD1OV5oZKraDgkQzefbmYY/tusONzOWQsjSBjaSEO+wSdl07T/MFbqBYuwGHwZWzYhM06htNhZWLCgcZHhzEqjuvD9axM3UBWYh76gJAZeyCU0ZlM1J5HcNi9Wg8nRRsoqe3DPGLD30NWQlNdPyUXW8lYEEFKlrSuVjesba2MVJQT9MijyNXS5KyVA9WMO6zkhknsn+iqlqy8Alewu8FPTZC/NOXYg0RccjA5edGUXW4jNEJP2vycqS71sREz0THh9A88uAzYzxb5uyCXy8jfmc47v73Gkfer2POlRWh1KmQyOf5B4SRu2E7PKy8RveuL6NJnrmI7a/byUcclnoych1qjhRm81V3WwwbsbZVe/eV9fVREBOk88vKC4OpYHBoYZcfnsiX5jtyOsZpqxuvrCH36GUkeJAB1Q42YbGYWS5zAgqnbZS28YJu013dXafe5CWquCAzxZXVBMicPVnPxVAMrNri4dYVSRdSKjTiOn8VZ2UrcD/5lyhbidg9xm2OConP/TKOflRWBnhdcRXQmE1UncPTUo4xI9TjOfThd32FiYfL0QBrz0Bgn9t8kOMyPlfniiUx3Y+DIIWQaDcZ1GyRfU9xdhp/KlxSj9yARN+xtlS5rYQnKK3AVPYmRhvvaBPVxsGxdAr1dw5w5UktQiC8h4a7zEq2v/5x6Gj4OHh7C8yGCj1ZFwe5MxkZsHPuw6g6nOf/lK1AYDAwcOuDx+sVhOdgnA4s94Zb1cKVoeHNilIH6DvOMOv5r51torO1n+YZEr0EXnjBwcD8Kf3/8V3oPMrkdV7tLUCvUkqkae9t1AJTRnuPmbkd9u5mwQN0DaYKaK9Kyw8nKjaTschs3K26pJWQyGYFbtzPR3cXw1ZkluWqFiuzgLEp7K7B7sbdQRqaDTI5j8vPzhLhwPQq57A5HSjes43YOvu26vuCRDJSztOO19fZguXQRw+q1kiwMAKwOGxV9VSwMzRYN63bD0V4p2VrYNGKjd2j8oaNqbodcLqPgkXS0OhVH3qtkbNS7rPq+3ssf7J0fcoRG6FlTmEJb0xDniuqmFli5Sk1AfiGjVZWMNzbMeG2cfywBGiPXuku9vocyOssV3tzf6nVcUpSB4bEJuu7a4jXW9nHlbBMpmaFkS3SXvB3jTY2MVl4nYNNmydtwu9NOSU8FOcGZqBUSr2m7jsw/FLm/uGZfEATq2k0kPcQT2I0VGxOJmmfk9OEautpuLbB+uYtQR0TSf2CfR7+SxWE5jNrHuOFFbitT61CEJk49JD1BrVIQG6afZk3tOmitwjQ4RuHuDAwB4iqouzF46AAyuZzAzdIO2AGu91Vhc06wSGL/xK1Qd4lUzeTDLDnqwevjZwOtTk3h7kxGR2wceb9SNAT8fuGzRd4L0rLDWbgshqrSTkov3VqIjevXI/f1pX/f3hmvk8vk5IZlc2OglmHr9FAHN251Nno3t0qa5KZvr9S62s0c23uDkHA9ayX6f9+NgQP7ket0GNaJOwm6cWOghlH7GIvDPGfa3g7BYcfReVNyFe9OgnoY+fi7oVDIKXgkAz+9hsPvV2IxuexkZXI5gVu3Y2tvY6R85san9MAUfFU6rnSVeH+P6CycvU04x73HxSVFGaYlRZ0/Xk9r4yCrC5LntMub6O/H9NE5/FevRWmUfv3V7jIMaj2JRmkSTXdnr1JCUhi45oFSIWNe+MfLiX4QCI3Qs35bGp2tJo9d9fcbny3yIli6Np6k9BAunmqk/qYrEkzuoyWgYDMj5WWMN81sTLQoNAeH4OBim+dJLPcNQB4QNeXX4QnhQTp8fZRTFcxg/yiH3qlA56dm6+NZKOfQDGJtb2e45BrGDfkeNd0z4Wp3Kb4qnaQORsAVZTcxLinqD6BusiJO+gQs8uCi9rbsycJhF9j3ZjmjI64GGH3eUlQhIfTv/3DGia2QK8gNzaG8r4px+8y+SQDKmCxAEE2LSozyx2Z30trjkr+WXW6l4lo72YujyFgwe+MygIHDLkoycMtWydeMTIxS2X+TRWELkEs01LO3ViDz0SMPlqYKq2szERfuj0r5h2mCmi2SM0JZti6euhu9XDzlPXHsfuCzRV4EMpmM9dvSCI/25/i+G1O2s8YN+ch1nqv5WH00obpgzjVf9vr6ipj5LuvhCc8TXT7pHV7XbmZk2MqB31eATMb2J7PReVBTiKH/w/eR+/hIdhIEF9da3lvJwpD50rnWtusgk08as4mjvsOMVnNvkqAeFAKDfdn2eBYjFisH3qrAOm5HplAQsGUb1qZGjzbEi8MWMOGcoLzP80NeHhwPap0oL3/7bq+qtIPzJxpISA1m+QZpB593w9rfj/nsGQwrV0vyMXKjpKcch+AgLzxX0nhBcOJou44iOlOSy+qE3UlTl/kTUwS4sWBpDJkLIym91EpFsfdkuHuNzxZ5CVAq5Wx5LIuAIF8OvVtJa+MACq2WgIJCRspKGW9qmnaNTCYjL2wRVb21DIx79jNRRmeB0y4aEpEUZaC3b4S9b5QxNmpj2+Pz58SxAoy3NDN87SrG/ALJh2kAFZNcq1SqBlx8vCI0EZlampd9fbuJhEgD8odUNeEJ4dEGCh/NZKBvhIPvVDAx4cB/+UqUgYH0f/DejNV8gmEeARojV72c3cjkcpRRGdjbKr1u9QP9fQjQa6ir6uH04VpiEwPJn6Wc9na0v78XwekkcIs0RZQbl7tKCNeFEu0nrRPV2d+CMG5BGS3NwKy524Ld8XDKa71BJpOxalMS8xdH8aB/2p8t8hLho1Wx46lsjIFaDr1bSVvT4K1qfv/M1fyScNdi6I13VYSnuEIiWiu8vn+0UUsaciwmK1v3zCc0Ym7J9AD9e99HrtMRUCCe33o7rnaXYNQYJHOtwvgwzt4mFBL5+DGrnbbe4YdWOimG2IRANu5Io6vNzP63yplwQNCOXYw3NjBw+eq08XKZnMVhC7gxUIPF5rnLWBGdhTAygHOo0+MYgCQ/H4SOYSJjjRQ+koFCMbfpPTEwQPeRIvyXr0QVMl2S6Qn9Y4PUmxpZEr5Q8hmR+3c/azov+pO1yINLcbMqP4kskc7ke/6+D/TdPuHw0arY8bkcDAFaDr5zncbmYQI2FTBSWjKj0iZYG0RqcCKXu4o9VmEypRpFZJpXBYVpcIzyk40oAUNGEFHz5q4qGGtoYKSslICCzSh00imRYdsIVf01LArNkc61tlcBguQDtcZOM4LwyeHjZ0JSeigFj2TQ02nhg9fLkM9fgiosjJbX35hRabMkfCFOwUlJj+eHvPvQ2hNlIwgCJRdboHMYCwLLC5PndE7jxsB+VxUftGPnrK672u0qZhaHiecCu+Fou448KBa5Ttpvuq7dRKhRi2GONOUfIz5b5GcJrU7FzqdyCAn3o2jvDRr0mcj1enrffXvGhXz1vDy6RntoG+7w+JrKmPkIpi6c5t5p/9bWNMh7rxTjsDuwBGlpMX28QOD+ve8h9/MjIF9aKIgbV7tLcQgOlkZIM6cCcLRVgFonycoAXFWaDO5b3N+DQmJaCNsen4/FNM7eN8pRbtzFaHMLlivTz2cifcOJ8A3jcpfn1CC5Phi5IXzGQsDpFDhXVMfFU42ExxmpwUnzLBwp74atqxPTubOEbylEFSy9ihcEgSvdJSQY4gjWSgvxEGxjOLrqUMZIo2rc8tpPGlXzh8Zni/wcoNWp2Pm5HFIyw7h6sZ3q9N1YqmsZvT69Glsek4tCpvA6id2Vmr3t1vWCIFB8oYX9b5Wj89Ow+5mFxMUF0HCXTG42GK2pZrTyOoGbt0qK9rsdl7quEuMXSZSfNKWGIAjYWytQRmdJsjIAqG0bIjrUD53PJ78ROzougF2fz8Fud3K42EFf3FL69r6PYL+z+Ukmk7E0fBGN5ma6R6c/5N1QRGfh6LiJYL9lXztsHmffm+VcL3bZBm/fk4VKJae2dWjO9933/rvIVGqi9zw2q+vahzvpHOlmySyqeHvHDRAckum8XtM45hEbyZ9AquYPic8W+TlCoXSFgS9dG0/LgIJL8Y9R9d7xaVtyvcaPrKA0rnaXevQQlxnCkemDcUzyk+ahMQ6+c51LpxtJTAvh0WcWYgzUkRRtwDbhnJV3uBuC00nv799EGRCAcf3GWV3bMdxFi6WdvFlU8c7+FoTRIclVmsPppK7D/KmawCHheh7/yiLCovwpU2ZQKkuj9/S5aePywnORIeNS5zWPr6WMzQaHDUdnNQB1N3p46zfX6Ok0s25LCis2JKJSKkiI8Ke2bXYhM26MNzYwfO0qAQWFqI2z+x4udxdP9YdIhaO1AlQ+KMKkuVTWf8LktQ8L5rzIX7t2jT179rBr1y6++MUv0t7+YGVBDwNkMhm5y2PZ/cwCNH6+XNXkcuSlc1NNMW4sCc/FbLNQPVDn8XWU0VmMt9dw+UwDb/7fq3S0DLEqP4n8nemo1K5KeEomN4dJbLl0AWtTI8GP7kGumZ2/zeUu1wSeVZXmPlCTuMi39YxgtTlI/gOk/NxP+Ppp2P5kNuu3pNKjj+fDSzZKPmq4o/vRoPEnPSiFS13XPBYCiog0UKjpvnGDg29XULT3BsYgLU98ZTHpObd2V8nRRlp6LIxZpaQC3IIgCPS99y4KPz2BhdKSwdxwOB1c7iomKygdP5W0c54p07rIdK/ma7ejtt30iZPXPgyY8yL/ne98h+eff569e/eyY8cOnn/++Xt5X58ohEcZeOIbK0h0NtPU7eD1X12i6MMb9HZZEASBrKA0dEotFzpn9jIxDY5RPJjC3t7tXDvfSnxyEE89lzcpt7qlUgj09yHQXzOjR4k3OK1W+t57B01cPPqly2d3reDkclcxmUGp6NXS5ZaO1nLkwfMkH6jVtLkohk9TJe+GXC5jdX4yOwoj0Y/3cfFsK7/778uUXWlj2OLqj1gWvpghq4mawfpp1zudAp0do5yxbePD4jA628wsXRvPI08vmCajTY5xWVM3dM4u93WkrJTRG5UEbt85ayqvsv8mFtswKyKXSL5GMHcjWHolUzXgKm4SIg1zloX+sWJO5KfNZuPb3/42aWlpAKSmpvLaa6/d0xv7pEGpVrLq0SWE//Tn9ObupLGun7qqHvyNPoRF+TNftZTq3mpqNB3oVFrMQ+P09wzT2z1Md7sZmQwilf1kZ1mJK5w5eQpc1XxtmwlBECTL1AaPHsY+OEj4c9+YckWUipsDtZhsZpaG75J8jWAdwdFdh1qi6yS4JnCQv4bAh9A69l4hamEKa8vO0lhSRHvwDs4fr+f88XrCo/0Jj/YntD+Bj8rL8U8IYXTExuiIjd5OC831A1jH7aiUBrK1JeQ+9Tja0JlleC5nRqhtHSIzTtoBqNNmo+fN11FHRmGchcWFGxc6r+Kv1pMR6Nkp8264d3pS6bzRcTvtvcMsSpWeZvUZXJjTIq9Wq9m1yzXpnU4nP//5z8nPl2b2/2mGLi2dkNwstMVvs/R//C+a+6Cva5jGuj7GRnyJJpfjtbfS2lWcOiZYAAAgAElEQVRqBYEhvuStjiM1Oxz5qQsIlhHgEY/vkRxt5PKNHvpN4wQbxSsu+9AgA4cO4LdoMboU6ZPQjUtd19AptWQFS+tYhUnbWMGJMkYaPysIArVtQ6TFzt5f5ZOG4N2PMXz1+8SOnkf33NdpuNlL/c1eyi61ESqkY6uHvRdv+d34aJXMSwoiLimIqGA7E++9hKI7Azws8lqNkpgQv1nx8oOHD2Lv6yP6b78n2W7aDZPVwvX+G2yMWSO5CxrA3lyK3BghybQOXNJJAUj5FO707jdEv9FDhw7xwx/+8I6/JSQk8NJLL2Gz2fj+97+P3W7n61//+qzeOCjo45kLhYTMvRnofsL/G1+j5M/KGf3w96z9n/+ATCZDEASGBkZ54eR/47QLfGPRsxgDtRgDdMhu23oO9Sxl4PjLBKjHURpmlq8tzY7k9aIaOk1W0pPFJ8jN3/wSBIGU576MVuJn5v5sh20jlPVVsj5+OZFh0hfgnotVyLV+hGXmSFLWdPWPMDRsY2F62Ky/14f1dzATQkL0EKLH8eTjNL/8KvN2d5DyiOucw+lwUtFcx0+Ov8zOlE2sSl2En5/GlWVw22+kNSgKeXclIRs8q1+yk0M4dqWFwEBf0Yao8e5u6g4fJHj1Suatzpt+vyK4cPMiTsHJ1sy1hPhL+y6c1jEsndUY8rYSJPH7a7/SikIuIy8nasYYzE/S7wAe7P2KLvJbtmxhy5bpNqMjIyP86Z/+KUajkV/+8peoVNJDowH6+4dxOufmyHZ7AMPDBxWBux6l983XaTx8goQtG6cyUxcnZvJWzfv0y3vwc8bQ13+nSsYZ5KK/ukvPo86YOaBBp5Sh0yi5VtXFfJGmKMu1q/RfuETwo3sYVvoyLOEzu/2zPdl6jgnHBLkBCyV/3oLgZKS2GEVkFn390tJvLl13dXKGG3xm9b0+3L+DO3H7vaqWrUF1+Cg1v/gVcf/0PHIfF0UV4ReOf7iSS6MXWa1YxMiYlZGxuzyNIrMYqzxOT0cfMtXMB+jRwTrGbQ6KqzqJC/fePdz+n79GkMnQ73jsjs9SymcrCALHas+RYJiH2uor+buYaLwGTju24HTJ15RW9zAvXI/FNDYtgueT9DuAud+vXC6bU3H8sQ5e582bx09/+lPUEr3I/1hgXL8BTUwsPW++gX301kK3OGwBKrmS8x4OYGWGcGT+YdibPXuZyGUykqIN1LZ510I7RkboeeNVNDGxBBTMTi0Brgl8ruMS8/QxxOilt2E7+1oQxsySuVZw8fFajZKoPxLVhFylIuyLX8He30/vu29P/V0mk7EiMo9GczPtwzNbGChjc1xeRx2eXSndKqzaVu+UjeXKZUZKSwjavhNVoDT+/nY0mVvoGu1heYT0A1cAR0spqLUowqVJJyfsDho7zaR8ypRXDwpzWuSrqqo4fvw4xcXF7N69m127dvHcc8/d63v7xEKmUBD6zBdxmEw0/ua3U3/XqbQsCMnmalcpNodt+nUyGcrYHBwdVV5dKVNijHT2j2Ienf4abvS+8xYOi4WwL31l1jwrQL2pia6RblZFLZvVdfbWMkAmWToJUNtmIinqj0s1oUtJxbgxH9PJ44zevDH192URi1HKlZxtvzjjdYrwZFD5ePU6CvT3Icjfh1ovKiz70CDdr76MT3zCnIoAgPMdV1DLVeRKDAcB107P3lKGMno+MgkB3wANHWbsDoGUmM8W+blgTot8RkYG1dXVHDhwgL1797J3715+/etf3+t7+0RDm5BI4JZt9Bw7geXqrXb2FZFLGHeMe/QqUc5bAA7vlZq7ovFUqY1UVWI+e4aAgs34zIub0/2fa7+Ej8KHRRJzXN2wN5chD4lHrpVmMjY8NkF738inUjophuDde1CFhNL90os4x129Fb4qHYtCc7jcdY1x+3QLC5lC5XKlbCnz6kqZHOPa7c00RhAEul56EcE+QfhXn0M2h8zR0YlRrnaXsDhsAT4SwtzdcPY1u3Z6sdJ/VzWfYFOyhwGfdbzeRwTtfIT/1959x8dVXgkf/92pKqPerd4s23JvcsUY4iL3AsRAAgkBlmwSCJvPEtgN4d0SMCnLLsmmEdYkYAg2DjEGm2YbF7lX2ZYly+q9d2nKnXvfPwYby5LsmZGskeTn+1d8mTtzNJk5c+9TzjGlplLzlzewNTQAkBqYRLhPKPsqDvV6jjZytONKraT3jkIACVF+6HUaLvWyfd3W1ET1a3/AEDWKkFV9r9K5kXZbB6frspkZORWjky3+AJSOJpS6QscPlZOurPm/HZO8xmgk4tvfwdZQT92Wv149Pj96Fha7leM1vVcv1cZNQm1vQGnsu21kanQALe1W6nqpddSyby+d588Res99GCLdayhypOoEVsXGHTFzXDrPMRQpoY1z/uo/v6yZ6DBfTN6uzfsJDiLJ30KSTsfoH/0Q1a5Q/fofURUFSZJYEDOXktYyilpKe56j1aGLGY9ceqbPKzWdVkPyKP+rG4iuUGWZ6j/+DsVqIeq733e6b+v1jladRFZk5kVnuHTelbkEXYJzDSMALpU1o9NKJEYNz/LC/eUzOo2gJZm07P+CloP7AUeP4BjTKA5UHOn1M6CLmwxIyMV9l7C+MrRxqbT7Z8RSUU7dlr/iMy6dwDt7n9y/GUVV2FdxmKSABJfmawDk0rNoIpLReDm3usSuKFyuaBHj8f0gkvwt5h0VScSD36TrUh71f3sPgFmR0/DSGtlXntXrObr4yaidzSgNPX8ErkiNCaS0pvv29fq/vUdX/iUiHv42xlHONW24nqqqZFUeJdE/3uliZFfIJaeR/MLQBDn/xc8rbSIpyh9DP0rjDneh6+7BZ1w6tW/9ha7CAkeDiehZVLRXUdTa8zOg8QlAE5GMXNx30btRoY4r37zSrxrWyC0tVLz6ChpvHyK+/ajLG+OuuNh4ifquBha4eBWvdDaj1Be7NFRTVtuO2WonNfb2u9MbKCLJDwK/2XMIuPMumj7eSfOez/HSeTErajqnarNpsfTcfq6NnQhIyKV9r7IZHRuIqkJBpWO4o/XYEZo+/ZiAhXfjP9O1ydJrna3OoaazjvkuTriq1i7sFTnoEqY6vRO3yyJTUt1O2m2wCepGJI2GqMe/iy4wiMrf/hq5pZkZEZPx0ho5UHG413P0CVNRGkpQ2ht6f05JIi0ukNwvr+QVm5XK3/4ae1sb0T94Cn2Q++/5vvJD+Bv8mBzmfEkCcFzFA66Nx3857ySu5N0nkvwgkCSJ8Ae+ge/kKdS+s5m2UydZEDMHu2rnYC+rKDTe/mjCk254pZYc7Y9GkrhU1kL76VNUv/4a3qmjCbtvQ79i3ZH3GQEGf9cnXMvPgyKji3e+iFl+eQuKqpIWJ77AWpOJUd97EqWzk4pf/w96i52ZkdM4WXOWZkvPCXZdvGNI7EafkbTYQBpazdQ1dVLzxv9hLrhM5COP4ZXgfmmA2s56chrymDcqA52Tq2OukItOOu70gmOdPie/rJnQAK8RXe7iVhNJfpBIGg1Rjz2BV2IS1a/9HlNpPekhYzhQeQRZ6VkxUJ84DaW+BKWt9xrjXgYdcREmWs+cofL3/4tXfDyjnnwajYub0q5V1lbJuZo8FsbOc/0LXHwKjL5Or30GyCtrQquRRBOILxljY4l64h+xlpdR/suXuTPQ0TXqi7Kew3qawEg0gaOQS/oelx8TF4RGVaj6vz/RdvQIIWvW4TfdtTXt1ztQcRhJkpjr4nyNau3EXnEBXeI0p+/0VFXlUnnziKtMOthEkh9EGqOR6B/8EH1oGOWv/JKFVX60Wds5VZvd47G6xOmA4+qnLzM0tcw89yGG6Biif/gjtN7uNfa+Ynfpfrx0RuaOcvELrMjIZdno4iY73SAEIK+0mcRR/hhv4/H465kmTmbU95/CWl1F1//+gZm+ozlQcYQuuavHY3UJUxyNRCwdvT5XpL+O+2q+wOviKUJWrSF4+cp+xdZp6+RQ5TGmhE0g0OjaD7NcehYUO/oE53sSVDV00tZpY7QYj+8XkeQHmdbPj9jn/hWftDFo3/uIJecUPiva26OOuMY/HE1ILLaing2gVVmm7t13SN6/lXpDIOZ7H3OpX2tvmszNnKw9w11Jc/HRu/ZjYa/OB0sHugTnh2rMVpniqjbGiKGaHnzHTyD6qX/CVl/PrPeyCato5WDF0R6P0yVMhS83F13P1thA5X/9gvj2Cg7GzSNk1Rqnr6D78kV5Fma7hSUJrq/KkQtPIPkEoolIdvqc3C8njcfG395zNv0lkrwHaH18iX7yaQIW3sWYc/XM//tFzh/7uMfjdInTUWouo3R8tULCUlFO6caf0fTZJ5juWMjmmGVcrOt756uz9pY7OhYtG+3GF7j4FHy59NNZl6+Mx8eKL3BvfMaMJfafn0Vv8GLdnma6tvwNa2f3WkeasEQkn8Bu4/KqLNO480OKf/IclvIy6hZv4KAhiYZ+9gY2yxa+KMtiQuhYl1ddqbLF0QoyYSqSk03gAS6WNBHibyTMiWqrQt+GfzPNYUrS6Yh48CGMCYl0vvtnvF7bQvnhiwQuvBvvpGS0fn7oEqdjPfE+toLj2OwhNO3+nK7ci2h8fBn1vR9gmjKN2L+c4GJpE2v7EUunrYusCsdteLhvCHWdzhdPUlUFuegk2uh0JL3zk2N5Zc1oNZJo5XYDXolJxP/037n0zuukHTxG4XP/TPCsefhlzMYrMRFJ0qCLn4w1/zBSaTGdFy/Ssn8ftppqfKdMJfzr92O0e0HhcfLKmpgT4N7GJ4CDlUfokDtZEu9a60gAuew82K1XhyCdoagquSVNTE4N7fcdyO1OJHkPC5w7H3OsnpMfvMm8a5qB6yMi0Hh5Y6vWoBx7GwBdcDCh6+4hYP4CtH6OzSRj4oL45FgpFqsdo8G9se3dpfsw280sine9YYS9pgC1oxH9zHtcOi+3tImEKD+3Y75daIxG0h7+Ln8MbiQluxbNvr007/4MrckPjbcXSCr2ZgvKof8HOCZvo5/6J3wnOHaUxqgqvl46ckubmTPevSRvs9vYXbqftKAUEgPiXD5fLjrhmJSPcr6fQXltOx1m+bboMXCriSQ/BMyImcHOqV/QPNWbJ4IXYykqpKuwANVmQ+8dA22l+C1/DNO0WT3qjIyND2LnkRLyy5sZnxTi8mu3WtvYU36QaeGTiPVzfQOVXHAUtHqXlk5arHaKq9pYmuF6wrgdSZLEzFmr+ZPpTb4Zfx9jK+2Oz4fVimK1Yleb8Y6PJvDeJ9GHdP8MaCSJ0bGBPXa+uuJw1XFarW18O/1+l89V7TJyyRl0idNdmpTPLRHj8QNFJPkhQKvRsiRhIW/nbqM4TEP6mK/a5tnrS+j82wsY/eVeC0mlxASg1UhcLGlyK8l/XLwHWZFZkbTY5XNVRUEuPI4udiKSwflx08sVLdgVlTRRVdBpk8PGk+Afx47qfUyd8wwB879qEWk++BdseQfR+fn0em5abCCn8+tpbDW7vN7carfyScleEv3jSQ10ftL0CntlDti60Cc6v6oGHOPxEUHeYn38ABATr0NERuQ0gr2C+KBgV7eVNpqQOCS/MOTC3mvQG/Vakkf5X12J4IqGrkYOVhxhdtR0wn1670R1I/bqPNSuFnQpri25zC11rI8XVQWdJ0kSa5Izaba09CiHoUuZBXZrnzukx3x5NXyxxPXPyO7S/TRbWlidnOnW2Lit4CjovdFGj3P6HLuicKm8WVzFDxCR5IcInUbHmuRllLdXklX51XI5SZLQJ8/EXpGD0tl7aeEx8UEUV7fRaba59JofFX2GJElkJrjXn1e+fBR0Rpe2qQOcL2okeZR/r23chL6lBiUzPmQMn5TspcP2VTMabUQKkm8wtss9l1kCxISb8PPRk1Pc6NLrNVta+LRkL1PCJpAalORyvKpsQS46iT5pOpLO+WJ5JdXtdFnsV3+chP4RSX4ImRo+kdTAJHYUfNLtS6xLneNYD13QeyOJsfFBqKpjxYqzytoqOVZ9igXRcwjycn3YRFVk5KIT6OKnIOl6b0PXm/YuG6XVbYxLdL0TkQCrkjMxy2Y+Kdlz9ZgkadAlz8Refq7XjVEaSWJsfBA5xU03rEF/ve1f3lWuSVl+8wf3Qi4+DTaz4/Prgosljh+j272m0UARSX4IkSSJe0evplPu4sPCT64e1wZFowmNx5bfew36pFEB6HUap2/H7YqdzblbMel93drYAmCvyEG1tKNLnnnzB18jp7gRFUgXSd4t0aYoMiKnsa8si8r26qvH9ckZoNj73CGdnhBMS4eVirred8deL7+hiGPVp7gr7g5Cvd37/8p2+TCSb7BLq2rAMekaHeZLgK9oKzoQRJIfYqJNUdwRM5sDFUcob6u8elyfOgelvgR7U0WPc/Q6DakxAeSWOHclv6fsAGVtFdyXtgZffe+TdTdjKzgGem+XerkCXChqxMeoI/EmDaaFvq1JWYaXzos3L27BrtgB0IQmIPmHO8bAe3HlR/V80c2HbBRV4Y1TW/AzmFjixrJaAKWrFXvZOfQps1zaACXbFfLLW8TSyQEkkvwQtCJxMb56Hzbnvne1eJkueRZIGuQ+rubHxgdRXtdOS3vfvWEBajvr+KjoUyaFpjMlzLUEfYVqMzuGahKnIWmdL4imqio5xY2MjQ+6rfq5DjQ/g4mvp62ltK2cz0v3AVfmbjKwV+agdPb8sQ/29yIqxMepcfmPi3eT31jMupQVLrX2u5ZccBRUxeWhmoKKFqyyIiZdB5BI8kOQj96HDWnrKG0r5+8FOwFHowhtzHhs+YdRr6tzAzA+0bF88kZXaoqq8HbuNnQaHfeluV/LRC48DjYz+jF3uHReTVMXDa0WMR4/AKaGT2RK+EQ+Kvrs6rCNPnUuqCq2Swd7PWdcQjCXypqxyfY+n7eguZidRZ8zL34mMyKc3/twPVv+YTQhsWiDY1w6L7uwAa1GEkl+AIkkP0RNCZ/Agpi57C07yNm684BjyEbtaMReldfj8XERJgJ8DZwr7L2JBHx5hdZcyNqU5S5XEbyWNXcfmoBItBHOlxUGx1ANiPH4gfL10Wvw1nnxl4vvYrPb0ARGoo1Kw5a7v9cLgfSEYKyywuXy3ldpddq62HThbUK8gnh02ga3LwKU5mqUukL0Ll7FA5wraCQ1JgBvo1h5NVBEkh/C1qYsJ84vhjcvbqW+q9FR5VHvhe1SzyEbSZIYnxjMhaJGFKXnCopj1af4qOgzMiKnMSfKtcnSa9mbKlBqLqMfs8DlJHChqJGwQC/CRcGpAeFnMPHAmHsoa6vgjZx3UFQF/ZgFqK212Ctzezw+LS4QrUbiQnHPCXpFVXg7bxst1la+lf6Ay5VIr2XLzwIkxxCjC5raLJTXtbu1qU/om0jyQ5heo+M74x8EVP6Q/Qatdiv6pBnIhcdQrZ09Hj8hOYQOs0xRVfeWgvlNhWy+uJXUwCQeGLO+XwWfbLn7QdKiGz3XpfNku0JuaRPpCeIqfiBNCktnfepKztSd591Lf0ebMA2Mvthy9/V4rLdRR/Iofy5cNy6vqAp/zfsbp2uzWZW01K36NFeodhlb7j60sRPQ+Lo25HL+y7vQCSLJDyiR5Ie4UO8QHhv/EPXmRl459VtaU2aAbMGW13PcdVxCMJJEtyGb0rZyXjv3F0K8g3lswkMud3y6lmq3IecfQpcwBY23a6tjCitbMVvtjBNJfsDdFTufRXF3crDiCLvK96NPnYNcdBLF3LOa6LjEYEqr22jrdJSnVlSFd3K3kVV5jKXxd/G1uAU9znGFXHQCtasVQ7rrG+zOFTUSaDIQE9a/3ghCd/1O8jk5OYwf71pDX8E1acEpPDn5Mdptnfx30QfURSVivbC7x7iryVtP0ih/zhU2oqoqByoO86uTv0Wv1fPdiY+4vVzyCrnkNKq5Df0Y1xPBhaJGJAnGJogJtVthdXImGZHT2Fn0GW97m+nCjtzLsF56YjAqcKG4EYvdylsXt3Ko6jiZCXezImlJv8v62i7sRvIPRxvrWk6wKwo5RY2MTwoRpYUHWL+SfFdXF//xH/+BzebadnrBdYkB8Tw99QlUVF41dbFD30FLcc+uURMSQyiur+W17M38Ne99UgOTeHbGU4T59P8W2HZxH5IpBG10usvnnr1cT0p0AL5e7vegFfomSRIPjrmHZYmLON2cz/8khHOxYG+PHa6Jkf6YfHTsKz7Gvx/5BUerT7IscdGAJHh7fQn2mnwM4+5yaW08OO70Oi0yE8VQzYDr1xT2xo0befjhhzl1qu+O8cLAiTZF8cz0H7Cj4GOylJMcL9zGDGs5oV7B+Bv86JLNXNCdxji5lOwGiZVJS1kcfycaF79wvbE3lmGvuIBh+lokjWvP19BiprS2nXsXul7FUHCeVqNleeIixgWn8eczm/hjQAdhB3/GuIjxJAck0m7roLazDsO4i5RqGonVR/NI+oMkByYMyOvbcnaD1oA+bb7L554rbEAjSYwTd3oDzu0kv3v3bsxmM0uXLh3IeISbCPIK5KH0DdzZbmdX9VGOVZ3Eqnx1JxXlG4GmNo00v7EsTXB9CVtfrGd2gs6IYZzrnYHOXK4HYHJK6IDFI/QtMSCOZ2f9iH0fPc8lPzOHKo+zr9wxdGPUGvAzBtGSN55VX1tBcuDAzJGolg5s+UfQp85CMro+pn6uoJHkaH98xJ3egLtpkt+1axcvvfRSt2NJSUm0t7fzxhtvuP3CISEmt88FCAvz69f5g+lWxBq04D6CfrOHgPg78L3zfpotjkm2SFMYv9p8ktOXagkJMbm1s/T6eG0ttbQVHCVgxjJCYl3vLpTzZS2SiWMiXT73Zm73z0Hf/FgxYTmNe98i7FsvUuftRaB3AEFeAVisdh44uotLla0smBE/IPE2H90Ldivhc1dhdPHvbGozU1LTxjczx7r9Hg2nzwEMbrw3TfKZmZlkZmZ2O7Z161b+8Ic/8OCDD149tnr1ajZv3ozJ5Fzybmho73U9tzPCwvyoq3O+D6kn3bpY9egSp9Nyejf2MUvRejne97quNkZH+/PFqXKOnq1wuWZ7b/Gas7YBEnLKQpf/li6LTPblehZNjx3w90F8Dm5MjZ8Lhm007fsbfou+j70d6tsdzcDHxgdx6Gwlq2fH9zoW70q8qmyl49B2tFFptGpDwcW/c/9ZR42m5EiTW+/RcPocgPvxajSSWxfHbg3W3nvvvXz++eds376d7du3A7B9+3anE7wwMAxTVoDNjDV7V7fjE5ND0WokTuTV9vs1lK5WbLn70aXORmNyfVLsfFEjdkVlcqoYqhlsksEbw7i7Hcspm6u6/bfJqaHUt5iprHeuKuWN2HL2onY2Y5jmXjv5k3l1hAZ4ERsu8setINbJD2Pa4Fh0KRlYz33WrSiVj5eO9MRgTubVuVQ/vDe2C7vBbsUwaZlb55/Jr8PkrSc5WlSd9AT9hMWg1WE5s7Pb8UnJjh/dK/Ml7lJtZqxnPkQbnY5u1BiXz+8028gpbmR6WrhYOnmLDEiSz8vrWUtFGBzGaWtBkbGe3tHt+LTRYTS0OsY63aWa27Fe+Bxd/BS0Qa43+bYrCtkFDUxMDkHr4oocYWBovP3Rj7kDOf8QSttXCT3Iz0hilF+/k7z1wueo5jaM0927ij97uQG7ojItzfX2k4JzxDdvmNMERKBPm4/t4hfdvsRTRoehkSRO5tW5/dyW49vA2oVhxjq3zr9c3kKHWRarajzMMGkZaLRYjvy12/HJKaEUVrTS0mF163lVayfWs7vQxk1CG5Hi1nOcyKt1/OCMEnd6t4pI8iOAYeoqkCQsJ7dfPWby1pMWF8gJN4ds7HXF2C5+gT79brTBsW7FdTq/Hp1WElUnPUxjCsEwZQVy0QnksnNXj09ODUPFMaTmDmv2J2DpcPsq3myVOV/UyNQvL0iEW0Mk+RFAYwpBP+5u5EsHkasvXT0+PS2MmsZOlyfXVFXBnPUmkrcfxmlr3IpJUVSOXaxhfGKIKBs7BBgmZSIFRGLOegtVdly5x4T5EhHkzdGcGpefz95YhvXMR+iSZqINTXArpnOFjdhkheliqOaWEkl+hDBOW4PkF4p572uo1i4Apo4OQwKXh2zkS1kotQUYM+5za2MLQF5pE83tVmalR7h1vjCwJK0er7nfRG2twXrWsRpLkiRmpUeSV9pMU9uNO4pdS7XLmPf+Ccnog3HuN9yO6WReLf4+elJjXG8kLzhPJPkRQjJ447XwcdT2eiyH3wYgwGQkJSaAEy4kebm1AcvRLWgiUlxu3Xatwxdq8DJoxXj8EKKLSUeXNBPrmR0ozY5uUrPSI1DBpat56+kdKA0lGOc/7HI10itssp2zBQ2OuSPRCvKWEkl+BNFFpmKYtBxb3gFsxScBxyqb8rp2qhpuPmSj2ixUb92IarfhNf/bLheZusIm2zl5qZZpo8Mw6LVuPYdwaxhn3w86I52f/DequZ2IIB8So/w5cqHaqfPttYVYT+9AlzoXfcI0t+M4V9iIxWoXq2oGgUjyI4xh2ho0IXFY9r+BvbGCjHERaCSJg+eqbnieqiqY9/4Ba00x3nc/gTY42u0Yzl5uoMtiZ1b6wJcxEPpH4xuE95IforbX0/Xpq6iyY0ittLadipvM3SittXR9/r9IPgF4zXmgX3EczK4iwNcgerkOApHkRxhJq8P77n8EjZbOHS9i6ixnYnIIh85VY1d69v0EUFUV67H3kItPEfK1h9HFTe5XDIcvVIsv8BCmi0zF687HsFdfwrzvdWaOcaxuudHVvL25ks4PXkS1mfFe8pTbczUAze0WsgsamDMhUuyfGATiHR6BNIGR+Kz6FySDD50f/pzFMW20dFjJLujZ5FvpbMH82W+wnt2JfuxC/Gcs79drd5htnCtscNxBiLHWIUufnIFh5r3IBUfRH/gtM+O0HM2p6XW5rb2hjK4dG0FV8Fn5nNuraa7IOleFoqrMn+j6BofvyksAAAzySURBVDvBdWJt2wil8Q/HZ/W/0rXzl0Sfe53HA+IoONHB5JTlgITa1YK9/AKWw++gymYMM+/FMDGz31vLT+TWIttVsapmGDBMWoakM2A59h5fVy6y3TKJgsI4kpMcyddeW4D13KfIhSeQfPzxWf4MmkDXq5BeS1VVDmZXMTomgMjg/nUqE5wjkvwIpvEJxGflc1hO7yD1/D7S27bR9uanSDYL2B1rpTXhSXgveNStsgW9OZhdRVSID/ERw6v06+1IkiQM4xehS5hK5/4/s7b8BOw+QfseLV0+JuwdLaD3Rj/+axgmLnW5MXdvLpU1U9PUxYo5Cf3/AwSniCQ/wklGX7xmbaApaSnvvLWNzMAWolOj0PiHoQmIRDtqnMudnvpSUNFCQWUrDy4aLYpNDSMaUwi+mU/z8QefUldcwJppwXjrrNhMo9CPnotk8B6w1zqQXYWXQcv0tPABe07hxkSSv01EhQfSFj6ZPzXbePHejFuShD87UYa3UcfcCWJVzXAjSRKT583jXy/qCSCRR1dOHPAa7Z1mmRO5tcweH4nRIJbWDhYx8XobmT9xFDWNneSWNA34cze0mDmRW8eCSaPwMohrh+EoKsSXickh7D1Vjk22D/jzH75QjVVWxITrIBNJ/jaSMS6cAJOBHYeKB/y595wqR0Xlrmnur68XPG/RjFhaO23sP10xoM9rkxV2HikhJSaAxCgxXzOYRJK/jeh1WjIz4sktbeZSWfPNT3CS2Sqz70wl09LCCQ0YuPFbYfCNiw8iOtSXD/YX9rvhzLWyzlfR1GZh1dwEMV8zyESSv80smDwKfx89O7KKBuw5D52vptMis3i6eyWJhaFDkiQWzYilsLJlwC4EZLvCR4dKSBrlT3qCKDs92ESSv80Y9VqWZsRzobiJgoqWfj+fxWZn15ESEqP8RYu/EWLWuAgCTAbeP1A0IFfzh89X09BqZuUccRXvCSLJ34bunDIKk7d+QMbmdx0poaHVwn0Lk8UXeIQw6LV8Y+lYLpU1czy3f83g7YrCh4eLiY/wY2Ky643ghf4TSf425GXQsWRmLNkFDeSXu39LXt/cxa6jpcwcG05anKhTM5IsyognLsLEu3suY7G6v9Im61w1dc1mMRbvQSLJ36bumhpDiL+R1z+66PaX+K97LiNJcN9C9/p7CkOXViPx4KLRNLVZ+OhIiVvP0dBi5t09+aTEBDApVfQV8BSR5G9T3kYd31k+jrqmLrbsvezy+ReKGjl1qY4VsxMI9ve6BREKnpYaE8is9Ag+PlpKbXOXS+cqqsrrH+WgqPDoinGih6sHiSR/GxsTH8SiGbHsPV3Ra4XKvrR0WPnzx7mEBXqxZKZYUTOS3XtnClqNxOsf5mC1OX/H9/nxMnJLm7n/7lTCA8WyWk8SSf42t35BEtGhvmzaeZHWDutNH99plvmvd8/Q2mnl8VXp6HVie/pIFuRn5NvLxnC5vIXfb7/QZ0+Ca5XXtvPevkImp4Qyf2L/qlYK/ed2kq+treXxxx9nzZo1bNiwgfLy8oGMSxgkep2WR1eMo8Ms87M3T1BS3drnY602O69uy6ayvoPvr51A8qiAQYxU8JSZYyN4cPFozlyu58+78m64rDKnuJGX3z6Fj5eOb2WOEZOtQ4DbSf6ZZ55h4cKF/P3vf2f16tX88pe/HMi4hEEUH+nHjx+YgtWm8M+vHuBMfn2PxxRVtfLfW8+SX9bMoyvGMT5JLIe7ndw1NYZVcxM4eK6K13bkUNPU2e2/q6rK5yfK+K93zxJoMvIv35iKv6/BQ9EK13KrklRjYyO5ubls2rQJgPXr1zN79uwBDUwYXMnRATz/8HR+/8EFfr0tm+ToAGLDTUQG+3A6v47c0ma8jVoezhxDxjjREOR2tHpeIoqq8vHRUo7m1DAtLYyU6ADK6zsorW6jtLadySmhPLZyHN5GUaRuqJBUN7a0nT17ln/7t39jxowZnDhxgrCwMJ5//nmio0VxquHObJXZ8vklcooaKapsodMsExLgxar5ySyZFY+vt97TIQoe1thq5sODhezMKqLDLBNgMpAYFcC0seGsmp8s2j4OMTdN8rt27eKll17qdiw+Pp7jx4/zu9/9joULF7J161Y++OAD3nzzTadfuKGhHUVxb8t0WJjfgNe6vlWGU6zQPV5VVWlqs+Dva0CnHXpz9MPpvR1OsYJz8VpsdsxWO/4+eo+OvY/E97Y3Go1ESIjJ5fNuek+VmZlJZmZmt2OlpaWsXbuWhQsXArBixQr+8z//0+UXF4Y2SZLEGnihT0a9FqNerK4a6ty6PIuLiyMyMpJ9+/YBsHfvXtLT0wc0MEEQBKH/3J4d+fWvf80LL7zAL37xC0wmExs3bhzIuARBEIQB4HaST0pKcmkMXhAEQRh8Q282TRAEQRgwIskLgiCMYCLJC4IgjGAe25bW3w0Tw2nDxXCKFYZXvCLWW2c4xTucYgX34nX3b3Rrx6sgCIIwPIjhGkEQhBFMJHlBEIQRTCR5QRCEEUwkeUEQhBFMJHlBEIQRTCR5QRCEEUwkeUEQhBFMJHlBEIQRTCR5QRCEEWxYJfkdO3awbNkyFi9ezObNmz0dzg395je/Yfny5Sxfvpyf//znng7HaS+//DLPPvusp8O4oT179rBu3ToyMzOHRUey7du3X/0svPzyy54Op1ft7e2sWLGC8vJyAA4dOsTKlStZvHgxr7zyioej6+76WN99911WrFjBypUree6557BarR6OsLvr473irbfe4pvf/OatD0AdJqqrq9WFCxeqTU1NakdHh7py5Uo1Pz/f02H1KisrS/3617+uWiwW1Wq1qg899JD66aefejqsmzp06JCakZGh/vjHP/Z0KH0qLS1V582bp1ZVValWq1W9//771S+++MLTYfWps7NTnTFjhtrQ0KDabDb1nnvuUbOysjwdVjdnzpxRV6xYoaanp6tlZWVqV1eXumDBArW0tFS12WzqI488MmTe4+tjLSwsVBctWqS2tbWpiqKozzzzjLpp0yZPh3nV9fFekZ+fr86fP1/9xje+cctjGDZX8ocOHWLWrFkEBgbi4+PDkiVL+Pjjjz0dVq/CwsJ49tlnMRgM6PV6kpOTqays9HRYN9Tc3Mwrr7zCE0884elQbuizzz5j2bJlREZGotfreeWVV5g0aZKnw+qT3W5HURS6urqQZRlZljEajZ4Oq5stW7bwwgsvEB4eDkB2djbx8fHExsai0+lYuXLlkPmuXR+rwWDghRdewGQyIUkSo0ePHlLftevjBbBarfz0pz/lySefHJQYPFaF0lW1tbWEhYVd/Xd4eDjZ2dkejKhvqampV/93cXExu3bt4p133vFgRDf305/+lKeffpqqqipPh3JDJSUl6PV6nnjiCaqqqrjzzjv54Q9/6Omw+mQymXjqqafIzMzE29ubGTNmMHXqVE+H1c3Pfvazbv/u7btWU1Mz2GH16vpYo6OjiY6OBqCxsZHNmzfz0ksveSK0Xl0fL8CvfvUr1q9fT0xMzKDEMGyu5BVFQZK+KrWpqmq3fw9F+fn5PPLIIzzzzDMkJCR4Opw+bd26laioKGbPnu3pUG7Kbrdz+PBhXnzxRd59912ys7N5//33PR1Wn3Jzc9m2bRt79+7lwIEDaDQaXn/9dU+HdUPD8btWU1PDww8/zPr168nIyPB0OH3KysqiqqqK9evXD9prDpskHxkZSV1d3dV/19XVdbsFGmpOnjzJt771LX70ox+xdu1aT4dzQzt37iQrK4vVq1fz6quvsmfPHl588UVPh9Wr0NBQZs+eTXBwMF5eXnzta18bsnd0AAcPHmT27NmEhIRgMBhYt24dx44d83RYNzTcvmsFBQVs2LCBtWvX8r3vfc/T4dzQhx9+SH5+PqtXr+YnP/kJ58+fv/V3ord81H+AXJl4bWhoUDs7O9VVq1apZ8+e9XRYvaqsrFQzMjLUQ4cOeToUl23btm1IT7yeOXNGXbJkidrS0qLKsqz+wz/8g7plyxZPh9WnAwcOqKtWrVI7OjpURVHU559/Xn311Vc9HVavFi5cqJaVlalms1m944471OLiYlWWZfU73/mOunPnTk+H182VWNva2tQFCxao77//vqdDuqEr8V7ryJEjgzLxOmzG5CMiInj66ad56KGHsNls3HPPPUycONHTYfXq9ddfx2KxsHHjxqvHNmzYwP333+/BqEaGSZMm8eijj/LAAw9gs9mYO3fuoN76umrevHnk5OSwbt069Ho9EyZM4PHHH/d0WDdkNBrZuHEjP/jBD7BYLCxYsIClS5d6Oqxevffee9TX17Np0yY2bdoEwF133cVTTz3l4ciGDtEZShAEYQQbNmPygiAIgutEkhcEQRjBRJIXBEEYwUSSFwRBGMFEkhcEQRjBRJIXBEEYwUSSFwRBGMFEkhcEQRjB/j+1/g3chM0TqwAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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" ] }, "metadata": {}, @@ -289,11 +291,19 @@ "execution_count": 12, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "" + "
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\n", "text/plain": [ - "" + "
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\n", 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O1Q/wzGvV3HNVLJ+4LfVDMVkuJWY9sxx1Huews5Ax1wRaWSBuepbN0fsIcmRiVBnQKbRMu2d4PreM3skhklO9tEy04Pa5sWms3BB5FTtDt6IQN5bpIvt8uA4+g6ftFJprP4cydseKvz839fe/X6mkoWuMb35qB1bT+zNKPggul7EAS8vaNelkf2sONcP1yMg45jzEyxo2pd5CmCUSrUKLV/bQOzLJT/54kuDweUz2KdonuhAEgTRbMldt2ktCQOyG5fIOdzGz/z8QVFp0t/89oj5gWXnXwgVPoXy/bDTwGhQQgOhWIvrU/Oz3LdiUwfzt7Tdx1abdpAQmIcsyJQMV5HcXMuOZIcq0CeUGDrNIllBEcxDuqneQZ8aQIjPX7AoKC9TTPTDF4fIersoOR7w46+i6udS36D7ZR153Ac9W/pKa4XoSbNHcPq3ijpYWtmd/jJiUmwnU2jCpjGgVGhrbZjlQOMq927fy0a1Xcc2mfWwyOuie6qGg5wQnekvQK3U4DKHrdvMJgrAQjO1twF1zECkkHtG4vFFxZt8KgkCMw8yhkm6Gxl1sS1pfts6F4FIfC2dypqzDsyO81PgaLzW+xrR7hiuDt3JnayvXuiQyPvL3bAqMx6w2oVfq0Cv1/PLNdmbGtfzD3R/hmqhdbA/ZgkKQqByq5ajzGD1TvUSZNqFTrj2Z4zSizozCsRl3bR5eZy3K+N0IonR5Zde8H95vnvwr+S3UtY/yhXvTsZk0CIKARW0mLXAzu8O2vWftFfacxKqxEGYIWfe7JOsm8HlxVx9YyJ8Ojltz2/hwC3mlTnqHp9lynurmfNBcyhPbOdXLs1W/5FhvMQnWWB5N/Tg3zsyjLT2AeutdqNPOdpnMznn4/quV2C1aHrk5CVEQkESJUH0wu0O3E2OOonOym8POIjonu4kPiEGzTjefIEooIrPwtJfirj+84lH3c/tWr1GCLHOo1Emsw0RQwNpdgheCS3ksnIter2Z6eo4jzmM8W/UCfTMDXBdxJY8m3Uts0WvopsfR3fLXSKaz5+GJun5yirv5+PUJJL57B4BOqSXJGs9V4XtQSiqO9xZz2FmELEOMORJxnaUuRH0AYkAY7qp38E0OoYja4lfyq6HXq2npGuUXb9exNz2Mq7MWH2BSS2rSAjeTYU+lbbyDvO4CxufGSQyIW7cvVgpLwjfSjbvmAJI9GtG8tsVCq1YgCHCguIs4h5mggPVbAheaS3Fiy7JMXtdRfl79azw+Dx9Puoc7Yj+CYcjJZO5PUcTuQL3744ss8T8caaW6bYQn7k4j0Hx23wuCgF1nY1foVvRKHYU9JynoOY5VbSHMsL7MCkGhQhGRjrv+MN6uapQJexCWcAEt1bcxYWaK6/qpbBnmysywS6pa5aU4FpbDI83xo+LnyesuIMkaz+czP02GPRVv3s/x9tWjvf5JFCHxZ7WZm/fyg1erCA7Q8dANixM2JFEizhLNjpAtDLtGOeIsonmsjWRrIpp1HoiTLKEgCO8aixpMMSl+Jb8Ser2a779Uzvj0HJ+/O33Fm51MKiM7QrbglX3kdxdSOVRDojUeg3LtJQwEQUARkYmnswJ3w1GUsTsQ1GuzuqJDjZxqGKS6dWESbyR170JyqU3sea+bX9e9TG7XYdLtKTyR8SmizBHI0yPMvv00SosdzQ1PLjrT0Ds8zXNv1bEvPZRrssOXfb4gCESbI8gOyqB1vJ287gLcXjcJAaufWjzrOWo9knUT7qocfNOjKCKzFrVfqm8lUSA0UE/uqW5UCmnJG6UuFpfaWFiO9olOvnXsh/RO9/MXcbdxb/ztaJVa3FU5uKtzUO/8KMqExUUT3yhso7JlmL+8K3WREXAmWoWG7KB0bJqABRdf3ykijOHYtOvL0pJCEvGNOnHX5KKL38acuP6d25+Nkq/rHOOlg03cfUUsKdGrd7QoiCRZ44kxRXKyr5Si3pPEWWII0Ky9hoggKRZ8a3V5ePsaF6y1NWzbJFEkOtzC20XtGLTKS75uyaU0scfmxvlh+c+oG2nk1ugbuC/hDtQKNbLXzewfv4s8M07Yg//CnLh4wX7+7XpGJ+f4/D3pqNdQNE6v1LE9JJvJ+Unyuwvpnuoh1Za0rqCsaA4GWV6w1gxWpMCos9+xTN8GWbR09k9yrKaPfelhKxotF5JLaSwsR8VgDT+pfAGDSsfnMz9Dun2hzox3oBXXoZ+giMxGveujixbcgbFZfvpGLds3B3HDGovGhRvDSA9MoWqolrzuAmyaAMKNK5+aPpMFYzED2evBGJuGy7f+OOGfhZL3eH1876VytCqJT926eV2WsV1nI8OeStlAJUecRYQbwtaVfSNoDIjGwD/lRzs2r6ldfJSVyqZBjtX0c0VG6JqUzsXiUpnYAyPdvLr/e4TU9nHbYBBhp9oZ3f8mo7k5jP3xDaZbBvEoNuEZd+EaHkEymhA1C/70+o5RXj3Syh17o0mLWfulyaIgkmpLRq/Uc9hZRO1wPZn2NFTS2ieVFJKId6AFd+0hFFFZiNo/Leor9W1kiJHcU9245r1kxK2tyNUHzaUyFpZClmUKS97kVP7LbOsUuKlDgyevkNF3/o+Rt95k7PAhXKMCbkLwDA6CIKAwmRHedYe98HY9Q+MunvyLdLTqtS/kRpWBHSFbaJ/o5FDXUTSSmhhz5JrbC5ICRXgqRpvV765ZjrKmIQ6WdPPYrZsJC1x/1Ui9UseW4AzqRxrJ6y4gUGvFsQ4frGQNR54axl2dixSSgGhafZHQ69UEGtUcONWFxyuvS/FcaC7mxPbOTDN+OJ+eF3/F9Cu/J7p1ktARL2pZRGGxoN4UgaRXIEz1IJkD8bpgvKSUqZJTjB54h+nqStzjE/y2bASfSs1nbktBktbn4xYEgShzBBFGB4edx6geqiMrKA31GhW9IAhI4al4Go7iddagTNyH8G4MaKW+NWiVTE67yS/vYWtS0Fm1jy4Wl5qSl2UZV1sbYwfeof35n2AqrCTGOYd10ocmIADJHIAyKAhJmEDwTCGYHLgHh5kqOcVEwVFGc/7IXHs7fZMeXq4c49Y90WRuYEFViAqygzPonxkkr+sobq+bxIDFxRBXwh94XQFVbztbav6II1CP2hH+3sq8HtSSmq3BWbRNdJLXdZRgXdC6Mm8kRwqe9lN4Wk4sTOJVTsTq9WokZEYmXByt7GFXSgg6zcbrk3+QXIyJPed0MvT7V+h//jmmK8oZFGdoijMSdf/DRD/yWQKuvxHTrt3oU5IQ295A6zAR+Jl/I+C6G0l4+AHEpDQUAQG4+/qYPF5EfE8l6SYv1vAQFAEBG5IpSGcn2hTBEecxKgdryLSnrjnYJijViJZQ3FU54POiCE8BVu/bqFAj+eVOBkZn2bE5eENyn08uFSUv+3xMlZbQ//xzjLz5GrNtrXRaYWhXMlmffIqge+4n5s6bkVIy0RjnkPqPYr7xHmz3f5aA627AfNU1aGJikfQ6pqur8JUcI2uyieRQHdrISETlBtKrBZFMeypT7umFOI7Psy5F71fyK6BUSLjLTzGWd4iJ40WIKjXqTeu/kkshKsgKSqN5rJX87kIchhBC9GvLVRYkBVJw3LtBtjGU0VtW/P3pDxoZbORgqZOJaTdbEi/NlMoLObHdI8MM/vZFBn71AvN9vSi3ZvNqpkxVtp37b3kKx6aksxZx15Hn8fU3o7vpqfd2UAajlnmlFl1CItpde/lJuxaVUiK0r4HxvIO42tvQREQiGY3LibEsgVobseYojvQcp2Kwhi1BGWt23YiWEOTp0YX8+bBkRGPgqn172o2XV+YkYZNlXUX2PggutpKXZZmpslJ6nvkB4/mHEJQKhq7K4Jfps+h27+Keqz6N0mhCEAT0ejVTg/3MvvPfiIGRaK549D2dIKrVqMPC0Kdl0BWdzRutHhICJLzFRYwfzgdZXtAh67ynWhAEUmxJTL6r6BeycWLW1Nav5FdA0umIuesWvEFhuNraGD+cx3RVJZqIKBSW9WUmKESJzKA0Gkabye8uJMK0iSDd2rZvos4CPg/umlykwEhEy/Iun9MfVKtW4JrzkF/mJDvBjvkSvC7wQkxsn9vN8Juv0ffsj5l3dhNw3Q0YHnuEHwsnmNDIfDHr8UULrru1mPlTv0eVfTvK+N1Lyptb0k1h8wS3PfwR4u66FUmnY/J4EaOHcvFOTqKJiUVUra/PbVorseYoDjsLaRxtYWtwJoo1puBKYcm4W07gaS9BmbgPvUm/at9GhRgprO6jrXeCfenrP6B1PrmYSn6+r5e+nz/L6Nv7UZjMBH30QZqvSeI3M0Wkh2bwyOYHzkqF1ulUDO//PvJ4H7qPfAVRu3hR9/lknnmjhhmjjQe+cD/GrCzcgwOM5+cxcawQpd2OKnTtgVRYULqbbYmMuEY51HUUrUJD9Bp89H4lvwp6vRqP0Yp535WoQkOZOlXMWG4O3ulptAmJ61qRlaKCLHsaNcP1HO05TootEbN6bVUspZAEPB2leFqLV3TbnPlBo0KN5Jf10D86w86U9R/O+qD5oCf2bGsLPf/9XaZKSzBu20HYE08iZabyg5oXGJsf58nMTy/KWJDnppn943cRzSForvn0WVlNp+WdnfPwzGvVxIWbuWNvNKJSiTY+AdPeK/DNzjB+OI/J40WowhyogtbnCrFpAwjTB3Oo6yhdU062BGWs6UCMICkWit1V5SC7XZiTtq3at5IkolFJ5Jf1EBViIsR28Q5IXQwlL3u9jLy9n95nf4x3YoLAe+4n5JFHadJO8cv635FsS+DTqQ8tOuviayliqvhN1Dvuf6+q5LkUVfdxuLyHh25MZFOQEYXFgmnHLnSbU5ipq2XsYC5zXV1o4hOQtGvfRQmCQKotmd7pAfK6jmLX2laN8/mV/Cqc7iBBEFA7wjHvuwKfy8V43kGmSk6hjU9AYV57qqJSUpIWmMypvnKK+0rJDspYU4EzQRSRgmLey41ezm1z5gdVKSQEEfJKnSRFWFbMz70YfFATW/Z4GPrDq/S/8ByCQkno45/D+pFbkDUqflz5PM6pHj6b/kniLNGL2s4V/gpvfwvam55C1J+dMnta3j+e7KSyZZjHb08966IHUa3GkJGJPj2T6epKxg7k4BkfR5eYtC5jIEQfhFll4lDXUUZcY6QHpqzJyhYNNmTXFO6ag2hjMphXrO42CrcbOFHbT2P3OFdmhV00a/5CK3n34CDOH3yPyWOFGLftwPHkU+g3b6ZrqodnKp8nVB/MX6Y/iuqcMxG+6VEm3vwOoj0a9d5PLNlfHq+PH/2+muAALQ9cF3/Wb5RWG+Z9VyCqVIwXHGH8yGFUoWGoQtaekCEKIhn2FFrG2jjSXUR8QCxWzfLxIL+SX4VzO0hUqjCkZ6CNT2Di5AnGDh5A1OnQREWveYJoFBqSrPEcdZ6geriObSGZKMXVAzJ/ctscRAqOW/LGoHPljQw2crSql+6BafakhVxSNwR9EBPbMzZKzw/+m8kTxzHs2YfxwceZUJjpc06wv+wwPd1jXGG4mkA5hKmJOebnPChVEpJCxOOsZe7Yi6gybz7LTXOmvIMj0/z4tRpSo63LVnRUWCyY9u5D9rgZO3SQqbJSdJs3IxnW7quPMIUjAHndBShFJbFLLEhLIYXE424qwtVWjpRwxarJAqIooNcqyS9zEhaox2Fff0Gq88GFVPKTJ0/g/P538U5NYnnwUYSd1zIy7qGlvZffn8zFOGvlButNzI57cc16ABmFUkIUBVyHn8M32oP25i8v6aYBOFzu5HhtP4/enEywdfHuSBBFtPEJGLduX7DqD7yDd2YGXVLympM7REEkLXAzZYNVHO89RYY9Bf0yhy79Sn4Vlusgpd2Oafdu5p3djOUewD3Qjz4tHUFamw/VqDIQaQonr7uArsketgavrSCZFByHu/Ukns4KlElXvpcyt5y8kiSiEAXyy3tIvAQCbGdyvid236kqyn7+Km1uG+0x11I1bqW6YoDG6n7aGofw9Kkxjgcx4fTS1jhEU+0AdRV9lB3vora8h67qFqYVdtSZt6Azahadi9Dr1fz2QAN17aN87s7UFeMcgiShT0ldMAaKChnPP4QyJBT1OvywcZYYBmaH3g3Wh60pWC9ISkRLMHOVOSBKKMIWX/aiWSa1AAAgAElEQVR+Lo5APSUNg9R2jHJ1VthFqTl/IZS8x+2h4X9fpyqvis6QbbSE7qKixUNdRR9NtQM4WybQjtrQjFhxto7T1jhEQ3U/VaeclB7rpKWqi4GeMYSYvajDE1BrFu/O3B4vz7xWQ3iQgbuviFlxTksGA6bde/HNzjJ28AAzNdXo09MRNWuboypJSYo1iaLek1QM1rAtJGvRzgP8Sn5VVuogUa3GuH0ngkLBWO4BpmuqMaRnrPkjLVQwNJDXXYBX9pJkjV+1jSBKiAGOhUNSsOiQ1FLybgoyUFjVR8fAFHvTLm6A7UzOx8Qe6p+iqtTJ4dcqqGh0MagOY94YiD3cSmySnaS0EIwJXgo17xCUquShW68nc0cEmzNDSUgJJjLWhi3IgGKym/FJmfaZcOqrB6g85WRkaBpRFDCaFxS+2wff+1052Yl2rt2yfPmCM1Ha7Ri372C2vp6xA+8g+7xoE5PX9A1OZ1TUjTRS0HOctMBkTKrVdwOiOQSlawhX1UEU0duWtTjPfI9ZryavzEmgWUNk8Pqzg94vH5SS93p8dLQMczK/mcP762id1DOmC0FrtxHisBCfEkRKdhjt1moaA05x6/XbuPaKDNK3OticGUZ0QiCOCAsBNg0uZxP97lCae1VUnXLS2jDE9OQcWr0K3bsLfl6pk+L6AR67ZfOaDCpBktCnpaNyOBg/cpjJ40VoE5PWnNihV+qIMUeR311A56RzSWPRr+RXYbUOEgQBXUIi6k0RjB/JZ6KoEF3S2j9ShCmc8bkJ8rsLCFljDr1osuObGMRdl4cieiui9k/B26VrloioFCL5ZT3EhZsvmQqEGx1883MeGqr7OPzHRooLOujtGkM70UesdpSrH9zL7usTSUgJxhEZgM84y89bXiDIbOGzWz6BVq1GqZLQaJUYjGoCbDqCDFMEV/+IzWmBZN59K8FhRkRJpKN5mPqqfqpKepidnudE8xD13aP85Z2p6zpAJGl1GHftxjM+/u6ubwB9esaadn2SKJESmMTJ3lJKByrZHpK9ptRKW1Im4yU5+IY7UMTvWXVRCbXpqGgepqZ9hKuzHBe87tH5VvKjwzOcKmjn4P4GGqr6mRqeIGiyjYx0G9c+uIeM7ZuISQwkNNzMickTHBk+wm2J17MnYhtKlYRKrUCrU2KyaAkMNhDYl0PkyP+x5d5b2XnTVpRqkanJOZpqB6gp7aGzZQSP18fLRW1EhZq4c9/a0htPow5zYEjPYPLkScbyDqIKCUUdtrZdn1VjwaQyLmss+pX8Kqy1g1ShoRgyMpksPslYfh7amBiU9rXlpydZE2gcbabAeZy0wM1rstakkHjc9YfxDbSiSNj73iReTt5wu4Fj1b20901e9HS506x38M1MzVNS1EHum3W0Ngyh0SiI83WQ2Lif1C3hbP70x9CZ9e/9bXPeeX5Y/nPmvfM8mfU4RtVif7Msy7hyf4Q8P4P2pi+g0moJCNQTHR9I+rZwQsLNeNxe6qv7meqewGFQkxhjw2heZ5lgSUKfkfnuri+H2eYmDJlZa0qz1Cg0xFmiye8qoHuNrj2DxcSMR8JdcxDREopkXXnnIQgCZoOKvLIeAi0X3po/H0pelmWcHWMcyWmi6GALQwNTRDi0RLfnkzRaTNZn7iN87xYUZ5T6qB6q43/rX2VrcCZ3x926ZL96hzuZO/wcyqQrUKdehz3IiDFAQ1JaCCnZDnQGFQO9kzRW9WN2+0gKt+AIN6NcZ10ghdmMcftOZhsbGDvwDpLBgCZ6bYvFmcZiqD6YUP2fsrr8Sn4V1tNBCpMZw9btTFdWMJqbgyo4BLVj9W29JIik2JI40VdK+WA1O0O3rBqIFZRqRI0Rd00uoikIyRaxorySKKBWLqTLxYSZlgwIXWjW2rfTU3Mcz2/j0P56ervHiY4P5Iprowgr/T3quuOE3HsftjvvOitoJcsyv6p7icbRFj6T9gkiTEt/B0/zMdxVOah3fxxFaOJZ/yeKAuYALbFJdpqnXLT2TRAoSdSU9dLTMYbBpMZo1qx5wTy961MGBzN2MJfpinIMWdnv1cFZCYvajOFd154Aq94gpNercWlD8XRVLqTdJl+5qHrmuYRYdZQ3D1HXPsrV2Y4L6pt/P0r+tHI/9FY9pUWdeOZ9ZO7cxJ4kCe1rP8GgcLPpy3+NNvrs4PXw7Cg/qvg5wTo7j6d/YskCcbIs4zrwI/DMo73hSQSF6ixZlUqJEIeJuNQgXi/txqRWMNkzSXWJk9kZN4EhhnUpe1GjwbhjJ3PObsYO5CDLMtrEpDWNsSRrAg0jTRT0nCDDnvKeUeNX8isw5/LQ55xArVWseSJLWi3G7TtwNTUympuDZDShiV49M0KjUBNp2kR+dwH9M0NkB6Wv+k7RtglPd9VZk3ilDxpuN1BU3UdH/6Vhza82+OZcHkoKO8h9o47B3kkS04K5/o7NJMYaGf3Z95lrayHksU9jufLqRX/L4e4icjsPc1vMjewK27bk8+W56YVTi1YHmr0PLdsfEzPz/OztOjIyHDx0Xzo6vYr25mGqS3voc45jsxvQGdY+GdThm9DGxTOWf4ipU8UYMjORdKvXRoowOhh2jXK4u4jIVQ7T6fVqZmbdSIGRC7nznnkUm9JXfP6Cb15FXpmTIIuWiAtozW9UEQ32TZL7Rh0lRZ3IMuy8KoZrb03CMtbO4E9+gNIeRPhX/wZV0DkH3nwenqn4BdOeaZ7M/Awm9dJ/q6epCHfNATS7H0R6t0b8UrIeKunmRPMQj9yXwc5dEczPe6mr6KW6tAevx4c9xIikWFvmjCBJGLdswzM2unAmZ2JiIaljlfkqCSKbbYkc7zlF9XD9u9dN+m+GWpHu9lFe+005rQ2DWKw6TGvMTBFVKozbdzDX1clYbg6iRos2dvVbnqyaAFSSkvzuAnRKHdHmlcuSCoKAZDt7Eq8YKBYFlAqRw+U9xIdbLvrFIsvJ6vPJ1FX08sdXq+lqGyUmyc6Nd6WQlBaCYm6a7qe/jbu/j7DPPYFx6/ZF7TsmuvhFzW9IsSVxf+Kdy06OuRO/w9vbgPbGL7x3H+ZSvFHYRmPnGF97eCsqhUhwmImUbAdarZLmukEqTzmZHHcRFGZEpVpbPrzSbkeXvJnxo0eYPF6ELjUdxSrlEARBINmaQNVwHcd7T7E1OBOtYulveLpvRX0A8uzEu5UqsxF1K5/pCLHqKG8aWsi0uYDW/HoV0dTkHEcPNHM0pxm3x7eg3G9JIsRhYurUCXqf/TGaiEjCv/TVJc+xvNL4BpVDNXwy5WPEWqKWfIc8P/OeEaDe8+CyLtF5t5cfv15DTJiJ2/dEo9EqiY4PJG5zENOT89SU9VJf2YdGq8QWpF9b0F0U0WdkIbvdjB08gGdoCH3m4nsDzkWj0BBuDCOv6yhjc+OkB6b4lfxKmAO0xCbYaaxdSKMa6p8ixGFaMnXqXE6vxvO9PYzl5oAooktIXLVdtCmS7qleDjuLSLbGr3qLu6i3IM+MvxuEzcYQaF/xg4bbDRRW9dJ1CWTaLDX4+pwTvPOHGmrLewkMEti+24jVOsFgZxVt5YXU/fElepSzjETbae2po/Z4DnXFB6gvPkj9qYM0lh2mvuIIwaM+EuZNDDvbGB1wMjMxgtfjRqFUISmUeIe7mDvyC5TJV6NKunJZGSdn5vnpG7VsSQritn2x78krigLBDhObM8OQZZm6ij5qy3tRKETsocY19asywIo+NZ2JogImCo+iT0tHYVr5BLQkSiQGxFPgPE7zWBs7QrYseSL2zL6VguNw1x/BN9h2VvxmKQRBwKhTkX+Brfm1KiKv10dlcTfv/KGG4cFxktN0pGcqwe2ku7mchvw3aS47wlCogX6rkvryw9QVH6DuRA51xbk0lh2mpjSXiZZGElwmdKMzDPW0MjnSj2tmEln2oVLrEESRuRMv4e2pR3vD2UbAubLml/dQXD/AozcnE3iGIajRKolNshMZa6O/d5Lq0h46W0ewBekxGFcvQCcIAvrNKSCKjOXm4O7vw5CRtWoufaDWhgzkdxcQoAkgKSTar+SXQxAEIqJtRCXYUCglGqr6qC7tQZJEgsJMq05kQRQxZG/BPTjI2MEDyLKMLil51XdutiZS0l9B6UDlgn9+FV+qFBzHfH0+vqF2zJnXrPhBJVFAIYnkl/eQFBFw1qC80JyeLD6fj8GeLo68fYjKwkMI89UYVFV4pqvoay+nt7WG4b4OZgf7wOvFGBGNKTgcky2YgOBNBASFYwkMw2QLwekdYdLnIsIYhnd2luHeDnrbanA2V9JafYz64lxaKgrorS1iyiciJF2NSm9CqVp60u0vaqe+Y5TH70glxG5Y1LcKhcimaCtxyXZGBqepLu2hvWmIwGDDmiaywmzGkJHFxPGiBUWfmobCtLK1rVfqsGmt5HUX4PEtnXp71kXeChWo9WsOwobYdJQ1DVHXOcY1WY4LYgispuTdc7PUl1eS/3oOvS3H0Str0FDJ1FAVPS0V9Hc2MD7gZH5sBKVWjykmAZMtBEuQA4vdsTBG7A4kvYFWVw9qlZYgVQBTY0MMdjfT01pNZ0MpzRUF1Bfn0ll7ksH2Wtz2eCRHMiqNHlFaXMbZ7fHx49eriQgycMe+pQ9E6o1qktJDMAdoaW0corLYydysh5Bw05pcOLqERASVirEDOcz3ODFkbVlV0cdZomkb76Cg5xh7IrYiei7cpSGCLG8k/Pn+GR6ewudb/6vtdiODg5MATI67OJrTREfLCIFBBq66OQF7yOqWjuzz0f/CL5goKsB2+53Ybr9z1TYdE108XfIj0gM386nU5f3Fp5mvy2fu6AsE3fkUs0EZK/7W7fHytZ8cI9Sq42sfy15VlvONz+djdKCLmZFOWuurGehuwed510KWNFhDwgkIcmC2hWIMsKOWJYafeQbf9DSOp76CNmbpoGN+VyEvN73OXXG3cF3En6xzr8fN9MQIk6MDTI4MMNpexaiziSlZwenhqDfbsDtiCdoUT3BEAjpjANMuN199pojUGBt/eWfqWWNhKWRZprVhiMKDzUxPzpO+zcH2fdFrCrzN9/fR/fS3kd0ewr/8NdSbNq3a5n/rX6Ww5wR/mfEYKbazd4nnyir7fMy89g3k2XH0930LQblysPdU/QDPvFbNZ+9IYXvyB1+K+Fx55+dmGexqor+zkYHuFsaHeoCFb6XWBWB3RGIJDMVoDcYYEIS3toGR3/wa3eYUwp54ElG5WDm5fR6+W/IjhmZH+NvtX3yvFIAsy8zNTjE9Pszk2CDjQ72M1h5lfNaFy7cw7wRRxBoSSVB4PPGp6Sj1ISiUCzue/3mngS8/kElK1Oo3x83PeThxuI3q0h70RhX7bognOn5thQpHc3MY/O3/YsjaQujjn1u1VMbE/CS/qXuZR7beg9a9thpZZyKKAjbb+k9AX9ZKHv40kQsONDM7M0/Wrgi27o5cdUVeUPTPMVFUiO2Ou7Dddseq787tPMwfmt/i/oQ7uSJ88TH7c58/84evI8xPor3nWwjKla3InJOd/PZQM3/z8ewLctena2aS3vY6+tpq6euoZ941A4CoDGDGZUFrdLD9mm1ExkedtaC5R0bo/s9v4Z2aIvxLX102paxr0snTp35IkjWex9MfWbaol+yeY/qlv0XQGFHf9veMD/cw1NPKkLONQWczc7PTABitwcyqHBzr0vLEQzcQFRawqpI/zfych+P5bdSU9WA0a7jqIwmER61ea36+v5/up7+Nzz3Ppq/+zaqZWfNeN0+X/JDxuQn+dvsXsaj/tANYSlZvfzMzr/8bqsxbUW+/Z8Vn+2SZf/z5CURR4OuPbv/AffOBgQaaauvpaa2ht62Gkb5OZNmHKCnwyDbm3FbCYxPZdf129MazFc94wRH6f/n8igoe4JWmN8jrKuAzaQ+TYU9dVhZ3azGu3B+h3vsw3ogtjPR1MNTbzmB383tySZKSwPBYip1aZGMkX31kcfB/JfqcExz+YyMjg9PEbw5i7/VxaLSrW9ujuQcY/O1vMGzZSuinP7ummkhrHbfnslElf1m5a2DxNlIQBKyBepLSQ5iZmqe6pIfWxiGCQk3oV9ieC4KAPiMLz9DQgo9eklb10UeZIuiY7KKg5wRptuRlMwBOP1+0hjNflbNw/dgq1wWGBxk4UtHDwOgsu1I/mAqVU2ODtFYfp+LIG5Tl/R5ncyVzs1OERqcQ4NhO33ASk644Mvfs4prbd2G1W8+aKJ6xUbqf/jbeiQkcX/rqsha8yzPHDyt+hihIPJH5KdQrXLgxX/o63s4KNNc/gcIchM5oITAsmojEbBK3XoMjPgODxc7s9BQTPbWES50MNB5nbNCJKApIaiOStPLEkhQikXE2HBEWOlpGqDy1kE4Xtsmy4u1RksGAPiPzXddNAfr0jBWDsZIoEW+J5Uh3ER0TXWwPyV7xvIRosC4coqs/vHBBvGb5CSwIAjqNgvyyHiKCjYTa1n8z2mr4vF76u5poKDlEwf5fU198kIGuJjR6ExFJ2/ApMnAOJKAxJXPd3VeTsSMZlfpsBT5RVEj/C79YVcFXDdXyStMbXBm+h2sjrlhWJtkztxBsNQai2fdJlGotJmswIZGJxKTtImHL1cRtTsUnKOnpbMM414rFVU9XYxkzk2MoVWq0BvPq5xhMapIzQhBEgdqyXuqr+jBZtAQErpzarI2JRdRoGcvNYb6vD0NW9qqum8sq8Prmm2/y1FNP8ctf/hJRFElPXzkl7EzOd568QikRnRBIUKiR1oZBKou78ckQEm5a9rSgIAjoMxfqSo/l5iCo1Wjjli9lcDqb4kTvKaqG69gZum3F+uKiwYbKNcxsTR7KuF0I6uUnpkISkeWFoFF6rO2saorvh4mRfporCinLe5Wqwv30dzSg0uiITd9N5pV3kbT9ZpoaNdRUzBIYHMBH7kklNsm+qM884+N0Pf0feMbGCX/qyytmJ71Y/3saR1t4PP0ThK5wYtg3MYAr71kUsTtQp92w6P8FQUCrNxEYFk39ZDBvt1i58aptGPRq+trraCgroqHk0II15/OiM1mRFMtbX0azhqSMEDxuL9UlPTTXDRAYbFjxIJVkMGBIz2DiWCETxwoxZGQhGZZXxgaVHrPKRF53AQpR8V5lzWXPSwTH4q49hG+sD2XczmWfCxAWqONETT+tvRNcmXF+KlR6vR76O+qpO5lDcc6LtFYVMT7ciyMmkbisq9l63f0YAzM5WThLX6+PzB0RXH9nCuYlYkcTJ4/T99zP0CUlE/bEF5Y9WDY2N86PKp4jWGfnsdQHkVYo3Txfth9vRxma6/4KaYnrNiVJQVhEBIbAGH5VqmZGG8c1uzbjmp6gs6GE1qoiWquPMz0xgkKlRme0LNtvoijgiLAQFWfD2TFG1SknE6MuHJEWFCt4BrSxcQhq9UIwdnBwQdGv8G0uGyXf39/PV77yFV566SU+/vGP8/Wvf51t27Zhta7uB4ONKfnZ6Qk6604hC0rU2qUVpsWqIyk9hOnJeapLnHS0jBAabka7TPEqQRAwZGQx39e7kF5pMKBd4VSbWlIRbnCQ11XA5Pwk6faUFWW2xqcyfuqPyBMDKGN3rPjbcLuBw+VOhidc7+sKuKmxQZorCik59DLVRW8z0NWE3hJIYvbCpE3efj1Bm+IZ6Pfw1svVDPZNsW1vFPc+vAWWGMveyUm6n/42nuFhHF/8Err4hGXfXdxXxv62HG6KupbdYYvTKc/EdfgX+CaH0N74BQTV8gHnObeXn7xeTVy4lbtv2IojNo2ELVeTlJGFxysy0NVEe+1JGkvz3tu+6822JS18SRKJiLHiiLDQ3jRMZbET97yX0E2WZY0ByWBEn5bOROFRJo4XYcjMRtIvv2CHG8LonxnkiPMYSdY4AjSWZSe2oNSAIOKpPYgUFItoXv67i8K7B+jKe4h1mAneYDkMn89Lf2cjtSdyOJXzIq3Vx5geHyYsNpW03Tez9boHyN5zFZLaRnGBk6M5zWh1Km6+J5XkjNAl+2mypJi+nz2LNj4Bx5NPIaqXNlJ8so+fVv4PI3NjfD7zUyvuhn1Tw7gO/gRF9BbUGR9Z9nd6vZq8kk6OVPTy0RvTSEtLIWrzduIzr8BkC8E9N0NXQxmtVcdorT7GzOQYKrV2WQtfZ1CRlL5QIba61EljTT9Wux7zCinO2rh4kCTGcnPwjI6gT1/+FPRlo+QPHDiAKIrccsstKJVKRkZGaG5uZvv2lSf2aTai5Ef6Ojj82nM0lR3B2VKFe24WndGCSn125ysUEjGJgdjsBppqB6gucSIpRIIdS2fgCKKIITP73VNt7yCZLWiiopaVI1Brxe3zkN9dSIjOvmJ9G6PVwvTMHO7ag0jB8UuWIz6NUiHi9vjIL+9Z9+1RM5OjtFQdozTvVSoL3mSgqxGD2UbS1mvYdv1HSdxyNYFh0ag0OtzzXgoONFN0qBWjWcPN96YStzkIg0GzaPB5p6fp/s7/wz3Qj+PJp1bMRhqcGeYnlc8TYQrnoeT7Vrxcw+OsZb74FVRb7kQZsXJgOq/USUnjII/ekoztXatbEARCHGGYgmJJyL6SkKhkFCo1/Z2NCwq/JJ/RQefCbs1kfS8T4zRGs4bk9FBcLjfVJT20NQ4RHGZCb1haOSmMJvSpaQt59CdPYMjeiqRbWskKgkCSNZ5T/RWUDVaxM2QrFuPyN0NJ9ijcLSfxOqtRJl911sUo5+Kw6ymq7qWzf4q96zhAJ8s+Bp0t1BXnUpzzIi2VhUyNDxIWm0b63lvZcu19RCRmYbIGI0oSY8OzvPI/pXS2jJCaHcaNd6Usq+SmysvoffYZNNExhH/xSyueGH6nI49jvcV8NOkvVi0A6DryPL7xfrQ3fQFBtfyCptWq+N5vyzDpVHz0+j/Vi5cUSgLsDiKTtpCQfSVmWyjzczN0NpTQUllEe+1JZqcnUGv1aHRnp9mKooAj0kJErI3OlhEqi1d38ekSEpF9PsZyD+CdnFz2wNSFVvIbDrw+++yzzMzM8NRTTwHw8ssvU1lZyb/+679u5HFrZmp8lOaqYpoqT9Df1QpASEQs8enbiU3bhsF0dkBtenKO/S9X0lDTT2SslTseyMSyTAkBn9tN/X/8J6MlpcQ/+VcEXXP1snJ4fF7++dB36J7o5T9v+HuCDMtH5H2eebqf/SKCUkX4p76zqBzxmUzOzPPYvx1ga3IwX3to60pdwfTkOC1VxTRVnaS3vQmAIEcUcenbiU/fjtFiW9Sms22E118sZ3Rkhl1XxnD1TYln1Q4562+cmaHmn77OdFs7yX//NwRkZy0ri8fr4R8PPU3f5AD/78a/x65f/O7TyD4v3T//MrJ7nvDHv4e4wmXobo+XT30zF4fdwL//5Z5lf/enZ/vo7WymqfIkzVXFzE5NoFRriE7OJD59BxHxKYtcOk11A7z5UgUzU/NccUMCe6+JRVxmIk+1tFL9j/+M0mgi9d//FbVt+Z1r03Ab/3TwabaFZ/LUrk+tqJCnm07R/9K3sF3/Sczbb13xb3y7qI0fv1rJNz+3m/S45esxybJMf1fre30xPTGKQqkiKimDhIydRCSkoTjnImuv18fR3CaO5jZjMKq5/f4MYle4k3i0rJy6f/sW+ugoUr7+TyhW2OE0DrXyT4e+w65N2Ty589EV+2O2o5reX/8zAVfcT8C++5bvDOBYVQ///kIxX/n4Fq7MXr1syZxrhrbaMpoqTtDZXIPs82GxhxCfvoP49O1Yg84uROZ2ezn0dj0njrRhDdRz58cyCY9cOnAvyzId//NrnL9/jdDbbiX6sUcu+kn2DSv5H//4x8zNzfHFL34RgJdeeonq6mq+8Y1vrKn9+ciumRofpquhlM6GUsYGnYCA3RHDpoQsHHHp6IwLWSqyLNNQ1U9BbjMAu6+NJTl96Qs7fO55er7/38zU1xLy6ccxbV/eTzo0O8K3Tn6PUH0QT2V/btG1ZGfK624vwZXzA9S7P44q9foV/8ZX8lv4v+Md/NundywKsLmmJ+hurqCroYyB7hZAxmwLJSIpm00JWRgDlt4peDw+io+2U36iC6NZwzW3JhJ2ThbPmX3rc7no/q+ncbW3Efa5JzBkLq/gAV5rfpsDnfk8lvog2UErx2bmq3OZK/o1mhs+jzJq5YvQT6fEfeWBTDafkxK3WpaCz+dlsLuZjvoSnE2VzM/NoFRrccSmsSkhi+CIhPcUvmvWzdEDzTT/f/bOOzqO6vzfz/aVtOq9y6q2mnvvxr3iQg3FmA6hhYSSX4Ak34SS0GJKIPRgOrYxGAxucpPkJluymq1eV71L23fn94ewsa22kossMs85nINgZ+azd+68e+e9b8mpxSfAmTlLhuPeQ/s9fVEhFS/9E7m7G8F/eLLXTmTbS5LYUrSNe8bfRIJzz+MiCAL6H1/GWlOA03UvnFPJ9HxOh9wGeDrxhxvOvS+CINBYXUp5XvrPm49NSGUy/MJGEBozFv/w+B5zEBrrO9i99SR11e0kjAlk/IxQVOqe9zh0J3Op/NfLKP38CHr08V73KnRmPc8deRUJEp6c8FCPmcHQuQjQbfozgknXGV7ayyJAEASe/eQY7R0m/n7npH5X6zTq26nIz6Ds1DFqyws4/TwFx4wmOLrzzeY0laVN7P7+FB1tRkZPCmHc1O6j+ARBoO6LT2neuQP3hYvxWn3NObZmyETXVFRUUFBQwFVXXQXAnj17cHJyuqTuGjivnZ7aEe/ACCJHTiMkZgxqRw1NNeVn/LPVJbmYjDrUjs4EhvkSFetDbVVnsaLa6jYCQ9xQqs7120pkMjRjx6HPz6N55w6UAQGoAgK71eKocMDLwZ2kigPYBIEYj66bkWfS2V39sdYUYC5IRTF8BpJeIk6CvDXsPlZBh8HCmGhvOloaKM4+xIn933IsaRNVxdlI5QqiRk5j7JxriJ+yCO+gyB73Keqq2/j+y0xK8hsYMdKfhaviun2bORNp/pkAACAASURBVJMMZTRSuf4VDEWF+N99L85jejfEJxvz+ezUJqYGTGR+aM9vPwA2Qxv67a8h84tGNX51r6sci9XGW1uy8fd07LbhQ99lp6VoXL1+9uHPwtM/DEGwUVmYSXH2QfLT99NSX4Ug2HDx8CIq1g93T0fysmrIOqZFrpDhG9A1W1bh7oFDVBQtSbvpyDiOZtz4Hn3Qw1xDKW4pZXdJMqO849F0U3mzU6sEqXcY5sydYOxAHtrzj6pMKkVK5yZ9XJgHbhoFteUF5B3bQ9rOLziVlkRTTRme/mHETpzP+Pk3Eh43CVevgG73KWw2gYzDFezYkoPFYmPO0uHMWxqL0WTpUYMu7xSV619B4eVF0O8f7zXqSBAE/pv7BaWt5dw3ch3evdT4ATDn7sFyaj/qGevOFPrricyiBrYdLOPa2ZGE+fc/9lyuUOLhG8KwuIlEJEzBycWTjpYGSnKOUJC+j/JTxzB0dL4N+gT4MmKkP7oOM5lplZTkN+Ab6NKlTpJEIsExLgFrayvNu3YAnOPmHDI+eQ8PD1599VWWLVsGwAsvvMBtt92Gr699G4YXO7pG5aDBJyiSyFHTCYkejdrJhZaGKkpzjpD/882ymNoYnuiPu7cXuSdqyEmvwlGj7FK/QiKX4zx2HLqTJ2netRNVUFCPndwDNH40G5rZW5FCuGsYXg7nuinO7kkr9Q7DnLUDTPoeGw4DKGTQ3lBO1alDNOftJDvle6pLT6JQORCZOJUxs9cQP2UxviHRqB17frisFhtHD5Swe+tJpDIJ86+OZeSEoB5zCJycVLQ3t6N9fT36vJP43XE3LuN73yxuM7Xzevq7uKvcuCvhlm7fZs7GmPoZttrCzvo0vaxWobP5cnJWNbcsiMGvm5DB/jwsUqkUZ3cfgiITiR47u9PgI1BVnENJzmFOpSXRoC1G4ywhcWIE7a0CWWlaKkub8Q927RIzrfD0wiEikubdu+g4cQLncRO6jSY57Z9PrT5KTkMek/zG9ThGUrUzgknXWdcmZBRSp57zJbw1cCozjebiVEqPbKHwRDLNdZV4BYR3GvZ5NxCeMBl3n6BeI46aGnT8uCmbkyeqCY30ZMk1iZ17E72Mrb4gn8pXX0bu7k7w7x/vMyM4RXuYHWV7WB6xkHG+Pc97AMHQjn77emQ+EagmXtvrIkAQBN7bmotCLuXWhcMvuOa+QqnG0z+UYfGTCI+fjMbVE117M6W5Ryk8kUJRZiodrfWERXkSGh1M0alGMo9WItiELlF8EokEp4RELE2NXcqoDBmfPHSGUL799tuYzWbWrFnDnXfeafexFysZqi/aWxrQFmahLcqitiIfwWZDrlDh7hdOY5MzjU3OBAwLY9bC4Whczl2NWfV6Kl/5J4bS0l5dFkariReOrEdv0fPHCY+cUyf9fL2GlE8wZ+/EceWfkXmFAp2bYi31VdRVFFJddpLa8nwsJiM2QYLgFMDY8eMJCE/A2d2+evgANdpWkn44RVO9juh4X6bNjeyzxo+Hi5ITf3kWXU42vmtvx3XqtF4/bxNsvJnxPgXNRfxh3AN9dqm31pei2/RnFPFzUU/5Te/ntgn8v3cOolLIeOa28d0+7AN97T33OlbqtcVUFpygqjiHtqZaADRuXqicgqmoVGOxeTFu+nASxwd1MSQd2VloX3sVZUAgQb/7Q48ui3JzKc/vf4MZgVO4LqbnDGvBpKPjiyeQuPjguPz/nfneFrOR+soiasrzqS3Lo7GmHBAwCkoCh8USkzAW39DhPbpiun5vgYzD5Rw5UIpcLmXavEiiYn3OXK+nsdUXFVL58j+RuboS/IcnkLv1nlRW1VHDC0fWE+Eaxv2jbu91Mx7AcOBjzLm7cVz1V2SevWcZZ5c08tLn6dy3OpFxdmapDgSjvh1tUTbaoiyqS05iMRuRSmW4+4aiM3lRU+2Ai2cQc5bGdsm4F2w2qj94l7bUFLxWrcFj8dLL7q4Z8hmv/cFs1FNTnk91SS7VpSfpaGkAQBAUWCWe+IWEEzMqDg/fIBw0nfG0Vp2Oipf/ibG8jID7H0CT2P1KpLK9in8cfY1otwjuHXnbmcl8vl6boZ3Gz56kVe1OR+gkmmrKqNcWYzbqgc50fr/Q4fiGxLCnUMq+zAaev3vymaiSvjAZLRzZX0JmWiWOGhUzF0YRGtHzJugZXSYT9f95g+aME/jeug7XadP7PGZ7aRJbCrdxfcwqpgf2HuMtCAL6757D1lyF03XP95ozAHAop4a3v83mvqvjGTe8+32Gi2Hkz6etqY6q4hxqyk5SW1GAxWQEwCo4IVf5EZUYS1BEBG7eASiUnfekI/ME2jfWo/QPIOjRx7o19N7ezryd8hm7yvdxR/zNjPZJ6FGDMXcv9Xs+Qh9zFS2CgvqqElrqtJ0Zp1IZnv5h+IZE4x4Yw7NflxMT6s4Dq+3PUamrbmPPtjzqa9oZFuXJ9AVRXaKKuhtbfVEhla+8iEyjIegPT6LoI1zaZDXxz6Ov02pq448THsFV1fubm7WhDN2mZ1CMmIN62s19fo/nPzlGbZOO9/40n5ZmXZ+fvxhYLWbqtUVUl56iuvQkzbUVAAhIsdjccfcNYcToeLwDQ3Fy9UIqlXYa+vfeoe1QKl6rryHmlutFI98bF/PB1rU1UVtRgLboFJVFBVhNTUgknZoUSjUunn44u/vg4KDBmHIISW0D/iuvwW3UWJQqB6QyOVJZZ217QRDYV57MxlNbWBQ4i0leIzHqO5Chp1ZbRUdrI62NNbQ21pwx6CDBxdMXr4BwvAPD8Q6MwMn1F4Pc0GLgibdTmTkqgJvm956Ne36dltjR/kyeFd5lz6E7bCYT2jfWd67g7TTwRS0lvHLsLUZ6x3N73G/6jCAwFxzEsPstVDNu67XKJHSm8D/93mEA/np7zyn8l8LIn6PDZqWxuoy6ykLK8k7RVFOKBMOZ/+/k6omzmzcaN2+UBhO6pH04unkSvPZOVG4eyJVq5AoFEokUb29ntNWNvHr0TRra67g/fi0OVhmGjlb0Ha10tDTQ3lxPW3MdbU01CDYbAHKFCk//UDz9h+EV2DlP5GeVyPhmfxHfJpfwl3UTCPbp3QAYDRaOHCghK60SB0cl0+dHEt5D5Mz5Y9vponkJmbMLQb9/HIVn3wuHT3K/IrXqKPeNXEesZ9/zV//dc9iatJ2LgF6yfwFOlTXxwqfHueGqKG5cHHtJ50FvGPUd1FcWUl1aQOmpXEz6OiSSznsnkylw9vDBxcMXRxcPLCeyEPIKmfzHpzH7hvb7WqKRv0AEQSAvS8uh3UexGBvw9rbioO5A19aIvr2F08WYukMikSIItl7Pr3ZywcXdB2dPP1zcfXA4tRNncxuu1z/fayLQh9tyScmq4R/3TsathxjupvoOkncXUl7UhKePEzMWROMXaN8mlM1goPL1f6E/dZLI396HdGT3DT3OpsOs47nDryKVSPuMlAAQTPrO+jSOrjhe/Uyfad9HTtby72+yuHt5XK9JYZfayJ+PXmcidVcmRTn5qNXteHtbkNjaaG+uw2wy9H6wREJvm1BSmRyNmxcaVy9cPf1wUSlQHfsKt5HzcZh8fY/HnSnaNsyD+1Z2/3YgCAKnsmo4mFSEXmcmdrQ/k2aG9+q+O3tsdXmnqPzXK8jdXAn6/RMo3Puu+3OoKo3/5n7BwtA5LItY2OfnzywCpq9FOWJWn59/8fPjVNS288K9UwgKcBs0I38+lWWN7N92hI6WKtzdzbi6mNC316Nrazrzw734hvtw9h/e73MP1Mjb11HhfwCJREJMQiBhUb4cPdDp7lAo5YybGsKIkb4YdS3omuqo+vpzdHXVOE2ahCIoCJvVgs1mRSqVIZHKsElhpzYZo1TghoRriYqMRG+Ud9n8sgYFo/vm/zAd/w7VxJ7jgBdPDuPAiWp+PFTG9Vedmzxi0Js5sr+E7ONaFEoZU+ZEkDDO/qbPVl0Hlf96BUNxEX7r7sR37pw+HxabYOOjnM9pNbXx6Nj7+jTwAMZjWxB0zTjM+22fBt4mCHyXXIy/pyPje3DTDBYOjkrmLBtL3Ngo9m/Pp6isHR9/ZyYtH4aXtxJDRytNORnUbP0GnJ3QzJyFIJchCAJOTio6OozIFUqqjQ3srznCcL9Y5kXPR+3ogtrJuUsSlEGvxZy1A+vw6cjcu4/wclIrmDsuiK0ppVTUtRPkfa4RqCxtIjWpmLrqNnwCnFlybYJdlVpP05GdhfaN9Sg8PDujaNz6Lp5X3VHD56c2EeE6jMXDeg8XBhDMBowHP0fqFYoipuc6NqcprGwhp6SJa2ZHoOohx2OwCAzx4Jo75pF5tJK0lFLqmmzEjw3gqknBCDY9JoOOYSOiqa9vv2yahnyBsouNXN6Z9h4+3Jum+g6yj1eRn1OHxtWFkJhh+I6bgiQnDw4dwzdmJKEzFuAbEoNPcBQ+QZH4BkYSFBjD9sZD1Et0zI+bg8Fg7XIdqZMHtrYGzCf3IA8fj1Td/YPnpFZQ16InObOaGYn+qJVyjAYLx1LL2LEll5rKVmJHBbBwVRxBYe52J15Y2lqpfPlFjOVl+N9zPy4TJto1tj+VJnFAe5Bro1f0WjnwNNbGSox73kMRMx1l3FV9fv5YXj270iq4YW5Unw0yLvVc6AmNs4rhif64uKopya8nK01LU4MR3yAfAuPi8AiNwpq0H2VJJcOWXEPAiNFEJ4xE4xmKd2AEw0LjqZMb2dN0nDDvSEI8wrq9b1LfyM7m8PWlyKOm9nhvg32c2X28ktYO05n9i7rqNvb8kMfh/SVIpRKmzo1k+rzIXov2nY2Tk4qafclo//06Sj9/gh59zC4D31mc7l2sgpUHR9+Jo6LvRYDp6CasFZk4zHsAqXPfbqAPt51EZ7Rw17JY5DLpoM2DnpBKJfgFuTI80Q+jwUz2sSpyMqqQyZQEhfvj4uowNEIoL5Qr1cifxsFRSXS8L/5BrtRq2zqNfXYNMqWCkEWzsFRrad7xE4LN1qWxr6vKGWeFE0kVBxAEGKYJ6/YaMt9IzLl7+nyIA72d2Hm0AovJgqGqnR3f5lBR3ERYpCfzr45leKIfin6saEy1tZ0t++pqCfztg2hGdkYN9TW2Jxvz2ZD7FeN8R7EiYlGfPyiCIGDY9SaCSdfZdLmPcsuCIPCfb7NRK2XcvCCmz3K6g/lwSyQSvHw1xI4OQK6Qkp9TS2aalrqqNjwjg/CZNJbWAwdoTT2A44hYXAN8ztEa7R5BXlMBB7SHGeUd1238vEShQqJ06LO5iFIhw2C0sjddS7ibA0f3FJP6s2tm/Iwwrlo6HB//vpvqnE1b8j7K3noLdXgEQb/7fZ+tEOF0s/YvyG8u4q7EWwh27v7t42ysjRUY9ryLPHoayvi5fX6+oLKFjXuLWDFtGCNCOzd+rzQjfxqFUkZYlBfhMd60tRjJPl5FbkYV0bG+3daI6gvRyF8iXNwcGDHSDy9fDXU17eSmV5N7ohZVwhg0jjJ0u3/E2tKCU1z8Oa6IYOdAGo3N7CjeS7AmAF+nrq6Hcx5iV99uQ8YEQUDfYqS1tAldSTNV5S0Eh3swb0UsieOCcOjnTTcUF1Hx0j+wmYwEPfwojsN/KYHc29g2GZp5I/093NVu3J24FkUf5X0BLIWHMGf+iGryjcgD+vZBphfUs+NoBddfFUWoX997ClfCwy2TSQkIdiNudAAKhYzCk3VkpWmparThNmUq0vwMWpN2o4kIx+b6SzSK9Ocmz6naI2TW5zLRbwxyadcxlXqGYinLwFJ8FMXwzubw52M2W7E06WkrbqI6rwGjwcKYKSHMXT6CoDD3Hks0dIcgCDR8+w3aDZ/gGJ9I4AMPI3Owr1tZUvl+dpXvZ3n4Qib5916S4/S1DDvfQDDrO+vT9JIgeJozq/jlnat4uDLmQW84OimJHOFDaIQnNptA5HAfbAMwfqKRv4RIJBLcPR0ZkehHYJgb7a1GTp6oplDnRntgHLqTudhyjuM6MvFMQkxn28Bo8loLOFBxerXWNWxQ6hWKpTwTS9HhnzNhO49vbTaQfVzLvp/yOZZShtQiUGsT8Iv3ZfXVcV2y7OyhPf04la+9itTJkeA/PIE65Nwd/p7G1mQ180bGu7SZ2nlg9J24qXtPfgEQjB2ddcDdA1BPu6XPVaRNEPjPlmxUChm3Lup7Fd+b3sFALpcSENJp7B01SqrKWziV10ylWywGtRv1O7bj6CjD4azCd2q5mhDnIJLK91Otq2O0T0KXcepsDh9yVnP4zs1Vq9VGZWkT6YfKSfrhFKX5DTioFZRaLFx70yhGjPDttTxud9jMJmree5eWpF34XDUH79vu6LFc8PnkNxXyUe4XJHrFcm10z83az8aSdwBz9k5UU29C7tdzZdPTdLeKhytrHvSGk7OK0AhPPL26tq20B9HIXwYkEgnOrmqiYn0YkeiH2kFBTYOZSnkghVY/ClJz6NBZsEnlKFVyVCoFUyNGs6somcz6XCb4jUFx3mpNIpEg9QqlOSMZbY2Zk+UqkncVcGR/CZWlzbh5ODB6UghzlsRQ0mEk9WQt03/2zduLYLPR+P131H78EarAIIIffRyFV9fQue7G9vQr+MnGAu5IuImIn+uj94Ux9TOs1ac6my5r+o7GSDtVx86fffGhvvZFBl2JD7dMLsU3wIX4MQH4B7tiMlmpaFWgdQwnr9RIRXo+JokauUKGSi3H28kTlUzFnooDQKcb53ykTu5YO5qpyUyntMOfzIwG9v6YT25GNU0NOsIivZg+L5Ix00LZml5Ja4e535vWlpZmKv/1CrqsE3itWkPUXbehN/Rc1uBsGvSNvJb+Lq4qF+4beXufPZDhl8xWqWcI6qk32fWjcHoVf/fyuDOreLgy50FvXO6MVzG6ZoBoXNSMnRLKmMkh1Ne0U3Aoj6KMJo6nN3A8vTPJyslZhYenIxNki8jtyOGDsh8Z7ZOAVCLFoDej15nRd5horO/AZLwGmkEm0xIQ6kbsKH+GRXvhclZzhqVTwkjNquGH1FJunNf3ygc6QySr33+H9mNpOE+cjO8ta3uss9IdO8v2crQmnWXhC0nw6r271Wks1XmYc5NQJCxA5h3Wt0abwDcHOiNqJsVemq5YlxuJREJQmDtBYe5YzFaaajs4vCmZmmYblbs7q6dKpRKc3dS4ubszyjyH46WV2PIO4evgg8VsxWy20t5mpLXJQFtLODbbMDjYhMZZxbAoT8JjvAgKcz+niui8ccFsTSlhSU1bnxvXp9HlnaLq7Tex6XT4330fzuMn2O2/11sMvHXiQ6yClbsT1uIgty9pz3joSwRjBw7Tbu21tPJpCipayCpu7IyosaNHr8gviEb+ApFIJHj7OeO9YizjpoRQ+tZbNNR2YIqfjNEvCpPJhrERvNuGYbFaSS8uR4IElYMCB8fOf6JiffHwUOKY+V+8NEacVz/Tre/V192RqQl+7EmvZMGEkD6zYPVFRVS/9zbm2lq8r70et3kL+rX5llGXzZbCbYzxSWRBH4XHTiNYzRj3fYhE44lq3Eq7jjmcW4O2voN7VsRdcP2RKxG5QkbsqEC8AxfRcjCV0k++pMU5CMnYGXRIHWlu1KPUu+KpV1JZY0ArKUOhlCGXy3DUKPHy1RAe44UbNbjlbsBjylKUI7vPMF4wIZhdaRVsOVDcZxasYLPR9NOP1G/+GoW3N0GP/B5VUN8Ny09jE2x8kP0p1bpa7h95O37d7Dt1h6UyB/OpfShHLu6zdAF0vk1u3FuIi5OSOaP7LiUsci6ikb+IKLy9CX/iCVw2fknzzs2oQsMY8bsH0Tl1+g83FWxlV9k+1kQtZ3Zw10bgFt/l6H98BdPxrT0ayOVTh5GaXc2W5GLWLe6+gYdgs9H4w1Yavv0GuZsbQY8+1muzj+4oainlg+xPCHEO4qYRvReKOhtTxg/YmrU4LHyks+tRH1htNrYcKCbIW9Nj+YJfE66TJhMTFIT2329g3vYGbnPm4nXTNUhVKlpNbfzj8GtYBSuPjrsfL4dzywYIwjAMxsMYj25GPmxstw1onNQKFkwI5pv9xRRXtTKsh8qMptpaaj56H/2pk2jGjcf31nV2b7CeZlP+VrIbTnJ9zMo+G4Cc+Q5mI4Z9HyBx9UU5tucaPmeTXdLIqfJmfjMvWlzFDwDRJ3+RkchkOMUnogoOoe1gCtVbf0Awm1FHRDLcKwZtexV7KpLxd/LD3+ncbE6pqx+2lhrMOUnIw8Ygdey6wemoltOut7A3vZIJI3xwPs9Hpy8qQvvma7QdTMV5/AQCH3gEVUD3FTTP5/TY1nTU8lr6O2iUGh4afZddsc7wczjc7v8gHzYO1ehldh2TnFnFgcxqbl0YQ4BX/5pTX+lz4WzO1ip3ccV12nRsRiPNu3fSlnYEVUAgGr8gYj2jSdYeIqMui7G+I1HJfrm/EokEmV805tzd2BpKkUdN7vbHN8TXmX0ZWqobdF2awgs2G827dlD179extrXic+PNeK1ag/S85iF9je320iR+LN3N7KBpLBrWd+jjaYyHvuyMiZ//ILJeWh2e0SsIvLUlG7lUyrolI5B186Y3lOYBDKFSwxfKr9XIn0bp74/rtBnIjTrqt2+n7fAhFC6ujEm4ivyWIvZUJBPqEtyltrbcfzjmvP1YtSdRxEzv1l8Z6utM0rFKGtuMZzbYLK2t1H72CXWf/BcE8L11LV7LV9odHQGdY1vVVM+/jr+NVbDx0Oi78VD3nQADINgs6Le9AjbLz6v4vv3+ZouVNzZn4efhyLVzIvvdQWeozAXoqlUil+OUkIhDdAztx9No3rUDQ1kpXlFxxAQlsLcimVONBYz1HXVOaKVE6YBE5YQ5eycSB2dkPl37ESvkUpDAnuNaooPd8HZzQBAEOjJPUPXvN2hLTcYpNo7Ahx7FcfiIfreoO1B5kK/zv2Oc7yhuGL7K7vtmrSnAuP9DFLFz7EqMg5835I9WcOPcqB7rxQ+leQCike+ToXRDpUolwXOmIwSGocvJpmXPbvTp6UyMmkmerIl92lQi3cLxUP8SfSKRK5E4e3bWnZcpkPt3LeykUsowWWzsOV7JSE8pph1bqX7/HYxlpbjPX0jAvfejDrUvCuZsTFIDz6e8Roupjd+OuqPP0sHnHJu2BUvRIdRz7kbubd+1tx8pJ+1UHXcti8PbrX+uAhhac6EnrQovb1xnzup016Sk0LxrB5oOKzER49jddIzi1jJG+yQgP6sGvdQrDGtdEebcfSgixndbzCvU15mU7GoKK5oZq2yi9sP3afphK1K1Gt+bb8Vz5eoee9T2pjetJoMNuV8R5zmc2+N+02f/gNMIZiO6bS8jkStxmP9At3tO52O12fj3N1k4Oyq4ZcHwHn9MhtI8ANHI98lQvKFmR1dcZ85G6eePLjeH9r17iS8y4mAS2NmaTqhvFO5nrZilbgHYWqoxZ+9GHpyA1OncEESb0YhPbREuR3bhsncLxrJSXCZMwv+ue3CZOAlJL00ieqLF2MaLh96kwdDM/SNvJ9w1zO5jrXXFGPa8gzxqst1umna9mTc3ZxEb5s7SKfZf62yG0lzoTatEJsMhKhrXadOwGYy0HUxBlpLGGJ0HRW0VHDeVMDJg1BlDL5FIkAWMwJy7B2tNPoroqV3e+GytLfgWHSfs8FYsyXsQTGa811yD3223owoO7nP13Z3etJoMPsz5jHDXUO5JXGtXqORpjCkbsFZk47DgQWRu9i0eDpyo4sCJKm5dGEOgd8+FuYbSPAAxhPJXi0QqxWXiJJzHjaf9+DFaDuwnLiOTuHSBul3/h3FEPAHx41H4+CB3dUM54XrM2nzaf3wT9VUPYq5rwFhehqG0BF1ONoLJRLjakaOuI0j8zSqiR3dtPWgvLcZW1h//D02mFu5LXEeknbHwAILFiCHpHSSOrn02AjmbrSklGEwW1szqGhf+v4rc1Q3fm27B6+pVNO9NojlpF4sKW7CmHuXoj3lEjpmJY2AwSv9A5K6uKMdfh3HfB+hTNiHxH425rhZDSQm6nCxMWi0aoNbZn6Sg8dz2u+tQOtgfOns+KdojfHrya8JdQ7l35G0oZfYbG0vJccy5e1AkLkIeYF8AgN5oYfO+IiICXRgTbX+zHJGuiEb+MiORyXAeNx7nceMxNzZSl7oPbdpu1OkZVB9O7/6gfU//fLAEhY8vLpOn4jxuPIqIKP77wVFyj9YTmxh+ToKIvWjbq3kz4306LDr+OOO3eEv6F6duTN6ArbkKh8WP9tkI5DT1zXp2H6tgWoJ/l6qJIiDTaPBcsgyPRUswFBVSkPIT0ox0mr/7jpbuDkj7HvgeAIlCgUNUNC5Tp+OUkIjJqObQFxmEZ9Uyb7z94ZFnk1R+gK/zv2WERzR3JdzSLwNv0zVj2Pc+Us8QVONX2X3ctkOltHSY+O2qrlnAIv1DNPKDiMLDg4AlV+M2fwH/zniflrIi5ruOIV4ZhLW1tbN0cXUOVm0WjtNW4jRxPlL1ub7ra2dH8tqmTPZlaJkzpn8xxLkNebybtQGVTMEjY+4h1ieqX3W5zXnJmE/tRzl6GfKgvitSnmbjviKkEglXT++6aSjyCxKpFIfIKBIio8isz+HdjA34dchY5TIJN4sSbFZsJgOWnJ3I1KBZ9iDKoDCkil+McDwQG+bOt8nFTI73Q+Ngv4vFYrOwMf879lWmMso7nrVxN3bJ2O4NwWbDkPQOgtmAw5x77PLDQ2eznJ8OlzMx1peIwL5LaIj0zgBqoYlcbBwVDjww+k6Co0bxmSSDr9xKcVwwF49Fi/G89WE08ZFQ+AOCrrHLsaOivBge4sY3+4vRGcx2Xc8m2NhVto83T7yPh9qNP4x7gBDn/v1AWJsqMRz4CJl/jN3xztDZ0edQTg0LJ4bgbmfZWxFI8IrloQm/pcnTgfWkUJzoi/v8hXguvRqvdb9H5WjAlvstEnlXI3zdnCh0Rgub9xfZfb0mfQv/Ov4f9lWmMjdkJuvi0ZqpSQAAIABJREFUftMvAw8/lxCuzEY19SZk7vaF8QJs3FsIwJqZoivvYiBuvF5i7NUrk8oY45OIWq5mb2UKx2pPMMw1FDe1O/LgBCx5B7CUpKGImnKmiBl0bsYE+2jYcaQci1UgPrz3etxNhmbeyfqYA9qDJHjFcs/I2840HrdXq2DSo9/2Igg2HJY8hlTZc5TG2VhtNtZvzEQpl3H3irgBuZfOZijNhYuh1UXlzFjfUeQ1F5JUvp86XQPR7uGonL2RqDWdEVlSWZeILFcnJe16M0nHKxkV6dVjh7HTnKjL5l9H3qVB38itsTcwJ2R6nw24z8dcfBRjygYUw2eh6scioLCyhc925bNoYghjY+xLjhtK8wDE6Jo++TXfUIlEQrhrKNHuERytSSep/AAtxlYivIej9h+BOWs71oYy5BETz61fr1HR1GZgb7qWMVHeuDh1nQhWm5VU7RHeyfqYRmMz18es5OqIxedESNijVbBZ0e94HVttUWdCix1p6afZdbSClKxqbl8yos9+pPYwlObCxdKqlquY5DcWCRL2a1M5VJWGt4MnfiHjEVprMGftROoe2KWTVGSgC/tPVFGkbWVaon+3fu5mYwsf537J98U78HHy4p7E24jx6P+GvrWpEv2PryL1CsVh7n1I7AyztNpsvLYxEyRwz4r4znh/OxhK8wBEI98n/ws31EPtzpSACZhtZg5oD5GiPYzM2RN/7xjI3oVgMXbxgUcGubEvQ0tBZcs5D7FNsHGs9gTvZn3Mweo0QpyDuH/kOoZ7RHd50PvSKggCxpQNWAoPopp+K4rwvvvBnqalw8QbmzMZHuLOyhnhF2UzbSjNhYupVSqREu0eQbzncLIbT7G3Ipncxjy8ombg1liNJScJeWAsUs0vZREUchkatYLdxyrxcXcg2OeX4mVNhmZ+KtnNx7lfUqOrY1n4Ah6etg6F1b5iY2dj0zWj/+FFJAg4Ln0cqZ2b8QA7jpR3LgIWjyC0Hy0Kh9I8ADGEUuRnHORq1kQtZ7L/eL7O+5bNBd+zVapgbHQMCfm7iFA54jx6+ZnPaxwUXH9VJO9uzWXP8UqioqQcq80grSadBkMTAU5+3J1wKwlesQM2sObMnzDn7EY5crFdzZbP5svdBZjMNm6c1/XHRWRghLgE8eT4hzhUncaPJbt5M+u/BPn5Eid1J27XeoYt/dM59W2mJvqzN0PLl0mFRIU5UakvI702k7TaDARBYLRPAsvDF+Ht6HlO8pW9CMYO9NteQtC14Lj0sS75Hb3R0GLgm/3FJEZ4MjZGDJm8mIhG/gonUOPPQ2PuprxNy76KZI7UHOdgoDvSxv0E78/ExyMcpUyJSqZEJ9XjNqqEjfW7oNmMVCJluEcUyyMWMcYnsd9+1bMxn9yH8eAXyIeNQzlhTb+OzSioJzW7mqVTQvHzsM9/L2IfcqmcqQETmeg3lkNVaaRWHeEnDfykUeN66EV83ELw1PjgpHDEYDHgMqKNymotfz70HUgEVDIlMwOnMCt4WpeCaP1BsBjR//QvbE2dxelkPv3bNP1kRx4CAjeJi4CLjmjkhwjBzgH8ZsQ1rIpaSmFTEafSv6aotY4imxmTTIrJakIlU+Hn7kFxiQOBmkAenreg225U/cWUsxvjgf8iC4pHPfsuu+p/n6bDYObDH08S6O3Esin9L7UgYh9yqZypgROZGjiRZmML6UV7yCvYQ3NDKTmGBnQWAw4KBxzljnhonKir8GLlqAnMi0votu1gfxAsRvQ73sBanY/6qnv7FU4LkHaqlvSCeq6dHYnXAMpbiPSOaOSHGA5yB+K944ibHYV+28tYT51EOeFalCN/aay91VrCpn1FZIa2MTn+woy8KXM7xtRPkYWMxGHu/edE9tjDZzvzaesw89CaRLs30kQuDDeVK7NGrGC6ZwK6bS8hkVtwXPI4UrfORDeL1cZfPzzC9r0dTI8U0FyAXbXpW9H/9Cq2umJUM9aiiJjQr+Ob24189OMpQn2dmTtOrBV/KRCfuiGKRK7EYdHvkIdPwHT4S4wH/otgswKweFIoUUGufLz9FHXN+gGdX7BaMCRvwJj6KfKwsTjMe6DfBj49v56UrGqWTA4lzI7G3CIXF5lPOI5LnwCrBd23f8dSkQ2AXCbl9iWxtOvMfLYzb8Dnt7XWotvyd2wNFajnPYBy+Mz+HS8IvLc1B5PZek5jbpGLiziqQxiJXIn6qntQjlyMOTcJ/Q8vYmurQyqVcOfSWCQSeOe7HKw2W7/Oa2urR/fts5izd6KIn4967r1IZP176WtsNfDhtlyCvDUsmxrWr2NFLh4yz2Acl/8RiYMz+h9exHh0M4LNRqifM0smh5KaXUNqdnW/zikIAuaCg3Rs/gsYO3Bc+hiKsDH91rbjSDnZJU1cPzcKf88LdyuKdM+AjfzmzZuZNm0aK1asYMWKFbzyyisXU5eInUgkUlQTr0U9Yx3WumI6vvoTpqydeLqquHl+DAWVLWxNKbXrXILVgikniY5Nz2BrrkI9937UU25E0k+frcXaWSLWaLZdlKQnkQtD6uaP49XPII+eiunYFvTfv4C1oYylU8KIDnLlo20nKa9tt+tcNl0Lhh2vYdj9FlJXPxyvfgqZb/9j6ctq2ti4t5DRUV7MHGl/NqxI/xmwTz4rK4snnniCpUuXXkw9IgNEMXwGssBYDPs/xJiyAXPefsbGz2dqrBffHigmxEfD6B6q+Qk2G5aSNCq+3oS5sQqZbxTqWbcjdR1YU+3PduVTqG3l3qvjCexntyeRS4NEocJh1h2YA4ZjSPkU3cankUdM5N45S/jzJj1vbMrk6bXjcFR3X1/G1laPKXsn5pN7wWpGNfFaFAkLkUj7/wPe2mHi9U2ZODkoWLuo5zrxIhcHiSAMJCUJrr32WpydnamtrSUmJoannnoKV1f7iwk1NLRjs/X/0t7ezv0qojXYXG69giBgyU/BdPw7bC3VoHbmuDmMU+2uLFo4lcDQYASzAcGkx9ZSjaUsHWvZCQRDGwqvIORjVyMLGTXgBy85s4r3vs9lwYRgrptjX9/PgTKU5sKVpFUwdmA68SOmzJ/AYsLsGkxSjTsW7+GsXjgaqVKNl7crtQWnsNWVYK3Ow1KWDkg6Q2jHXt2vWjRnYzJb+ednxymvbefx34zpsQdtf7iSxtYeBqpXKpXg6dn/TPEBG/n777+fdevWMWbMGF5++WW0Wi0vvfSS3ceLRv7SIggC1soczNk7MVdkIbH2ULxM5YQ8OBF52Bj8x8+kvkE34GtmFTew/usTRAa68uj1o5ANYJXXH4bSXLgStdp0LZhP7cNadgJLTQESun8eJU4eKCInoYi7Cqmm99pIvV5PEPjPt9kczq3l/pXxdtem6YsrcWx744oz8tu2beO5554757+Fh4fz4Ycfnvm7paWFefPmcfjw4X4LELn0CDYrxSfz+fSz7QRqrCyeOQInN1fkGndUAVF21xbpjczCev78zkECvJx49r6pXRqMi1zZWHStbN28k/SsUibGeDA51gulZwAqv3BkThde7lcQBD7YmsPmPQXcuiSWNZf4LU/kFwa0km9ra2Pjxo2sXbsWgObmZhYtWkRqaqrd5xBX8pefrKIGXtuUiZermkevG4WHy7m1SQaqtaCyhZc+T8fDRcXjvxmDy2Uy8FfS2PbFUNAqCAKf7shn17EKrpsXzYKxFydu3WYT+Hj7Kfama5k9JvCiZ7UOhbE9m8u9kh/Q+7SjoyPvvvsuGRkZAGzYsIF58+YN5FQil5H4cE9+d+1ImtuNPLchjaqGjgs+59GTtbz0RTquGiV/uGH0ZTPwIhcfiUTCDfOimDHSny925PHxT6cwW/oXfns+ZouNt77NZm+6liWTQ8WyBYPAgKJrZDIZr776Kn/+858xGAyEhYXxj3/842JrE7kExIS489gNY3j5y3Se23CMm+ZHM364T78fPIvVxsa9hfx0uJxh/i7cvzK+zzrlIlc+UomEWxYMx9Pdic17CiipbuO+q+PxdO1/RcrqRh3vf59LQWUL186OZOHEkEugWKQvBrzxeqGI7prBpaZRx9vfZlNS3caYaG9unh9N5DAvu7QWVrbwxe4CCipbmDMmkOvmRA1KyYIrdWy7YyhphU69Px4o5L3vc5HLpKyZFcGUeD+7ch6sNhvbj5Tzzf5iFDIpNy+IYWKs7yXVOtTG9oraeL1UiEZ+8LHabGw/XM7m/cUo5BJmjQ1mbKQXw/ydu6zsrTYbBRUtbE0tJbu4EY2DghvnRjEpbmCx9BeDK3lsz2coaYVf9FY36njnuxyKq1rxclWzZHIoE0b44qDq6gRoajNyMLuaA5lVVDXoGB3lxc0LYi75G95QHdv+Ihr5K5ShoLeqoYPvkks4lleHyWLDx80Bb3cHXBwVqJRyKuraKatuw2SxoXFQsGhiCLPHBKJWDm59u6EwtqcZSlrhXL2CIHCisIFvk4sprmpDAvh5OhLm54JMJqFdZ6alw0hJdRuCAJGBrswfH8zYGO/L4n8fymPbHwZq5MUqlCL4ezpx1/I4HDVqfkwuIj2/npYOEzWNOvRGC/5eTswcFciwAGdGR3qjUl54yKXI0EEikTAy0ovECE/yyps5Vd5MSVUbOaWdjeWdHZQ4OypYMjmUKfH+Ys+AKwzRyIucwclBwYyRAcwQa4mIdINEIiEmxJ2YEPs7PokMPmLlKBEREZFfMaKRFxEREfkVM2juGql04BsyF3LsYDCU9A4lrTC09A4lrTC09A4lrTAwvQP9joMWXSMiIiIicukR3TUiIiIiv2JEIy8iIiLyK0Y08iIiIiK/YkQjLyIiIvIrRjTyIiIiIr9iRCMvIiIi8itGNPIiIiIiv2JEIy8iIiLyK0Y08iIiIiK/YoaUkf/uu+9YvHgx8+fP55NPPhlsOb3y+uuvs2TJEpYsWTJkWiO+8MILPPHEE4Mto092797NqlWrWLRoEX/7298GW06fbNmy5cxceOGFFwZbTre0t7ezdOlSKioqAEhJSWHZsmXMnz+fV155ZZDVncv5Wr/44guWLl3KsmXLePLJJzGZTIOs8FzO13uaDRs2cPPNN196AcIQobq6Wpg9e7bQ1NQkdHR0CMuWLRPy8/MHW1a3JCcnC9ddd51gNBoFk8kk3HLLLcL27dsHW1avpKSkCBMnThQef/zxwZbSK2VlZcK0adOEqqoqwWQyCTfccIOwZ8+ewZbVIzqdThg/frzQ0NAgmM1mYc2aNUJycvJgyzqH9PR0YenSpUJcXJxQXl4u6PV6YebMmUJZWZlgNpuFdevWXTFjfL7WoqIiYd68eUJbW5tgs9mExx57TPjggw8GW+YZztd7mvz8fGH69OnCTTfddMk1DJmVfEpKCpMmTcLNzQ1HR0cWLFjAjz/+ONiyusXb25snnngCpVKJQqEgIiICrVY72LJ6pLm5mVdeeYV77rlnsKX0yY4dO1i8eDF+fn4oFApeeeUVRo4cOdiyesRqtWKz2dDr9VgsFiwWCyrVldXw/Msvv+SZZ57Bx8cHgBMnThAaGkpwcDByuZxly5ZdMc/a+VqVSiXPPPMMGo0GiURCdHT0FfWsna8XwGQy8fTTT/Pggw9eFg1DpmlIbW0t3t7eZ/728fHhxIkTg6ioZ6Kios78e0lJCdu2beOzzz4bREW98/TTT/PII49QVVU12FL6pLS0FIVCwT333ENVVRWzZs3i4YcfHmxZPaLRaHjooYdYtGgRDg4OjB8/njFjxgy2rHP4+9//fs7f3T1rNTU1l1tWt5yvNTAwkMDAQAAaGxv55JNPeO655wZDWrecrxfgpZdeYvXq1QQFBV0WDUNmJW+z2c7pFykIwmXpH3kh5Ofns27dOh577DHCwsIGW063fPXVV/j7+zN58uTBlmIXVquV1NRUnn32Wb744gtOnDjB5s2bB1tWj5w8eZKNGzeSlJTE/v37kUqlvPfee4Mtq1eG4rNWU1PDrbfeyurVq5k4ceJgy+mR5ORkqqqqWL169WW75pAx8n5+ftTV1Z35u66u7pxXoCuNtLQ01q5dy6OPPsrKlSsHW06P/PDDDyQnJ7NixQrWr1/P7t27efbZZwdbVo94eXkxefJkPDw8UKvVzJ0794p9owM4cOAAkydPxtPTE6VSyapVqzh8+PBgy+qVofasFRYWcv3117Ny5Uruv//+wZbTK1u3biU/P58VK1bwpz/9iaysrEv/JnrJvf4XidMbrw0NDYJOpxOWL18uZGRkDLasbtFqtcLEiROFlJSUwZbSLzZu3HjFb7ymp6cLCxYsEFpaWgSLxSLcfffdwpdffjnYsnpk//79wvLly4WOjg7BZrMJTz31lLB+/frBltUts2fPFsrLywWDwSDMmDFDKCkpESwWi3D77bcLP/zww2DLO4fTWtva2oSZM2cKmzdvHmxJvXJa79kcPHjwsmy8DhmfvK+vL4888gi33HILZrOZNWvWkJiYONiyuuW9997DaDTy/PPPn/lv119/PTfccMMgqvp1MHLkSO644w5uvPFGzGYzU6dOvayvvv1l2rRp5OTksGrVKhQKBQkJCdx1112DLatXVCoVzz//PA888ABGo5GZM2eycOHCwZbVLV9//TX19fV88MEHfPDBBwDMmTOHhx56aJCVXTlc9s5QNpuNjo4OFArFFe/nExEREblSEAQBs9mMk5MTUqn9nvbLvpLv6OggLy/vcl9WRERE5FdBdHQ0zs7Odn/+sht5hUIBdApVKpX9Pj4rK4v4+PiLLeuSMZT0DiWtMLT0DiWtMLT0DiWtMHC9JpOJvLy8MzbUXi67kT/tolEqlQNOCrnSkkn6YijpHUpaYWjpHUpaYWjpHUpa4cL09tfNPWRCKEVERERE+s+Qia4RufQIgkB2UQNHcqppajPS3G5Eb7AQ5KMhKsSd6GA3wgNdxQ3z/2EaWvTkljSSX9ZMQUUzAC5OSlw1KoaHujMpwR+1UjQrVxLi3RChXW/m+wNFfH+gmqb2SuQyKe4uKlw1KtRKGQezqtlxuAyAyCBXrp8Xw4Q4P9HY/w9RWdfOFztOsfdYBTYB5DIpYQEuKGRSiipbaG438n1yMQ4qOdNGBrBsejjDAlwHW7YIopH/n+dQVhVvbsygsdVImK+KtcsSmZwQgIPql6khCAI1jTqO59WxKSmfv31wmPBAV+5dncjwUI9BVC9yqWnXmXhnSxZ70sqRy2UsnxHBjNGBhPm7oJDLznzOZhPILm5g95FyDmRUsutoOatmRXLD/BiUClkvVxC51IhG/n+UNp2JtzadYN/xSsL8XXhq3SRaagsZOzaky2clEgl+nk4smuzEvAkh7Emr4NPtJ3nyjQPcvjyeJVOHiav6XyEFFc0899ERGlv0LJ8RwarZkbg7q7v9rFQqISHCi4QIL25fHsf732Xz9e58UjOreOSG0cSIi4FBQ9x4/R+koUXP468fIOWElhsXDOflh2cSGexm17FymZS5E0JY/7tZjIr24e3Nmbz4SRp6o+USqxa5nBwr7OCx1/Zjs9p47v5p3L48vkcDfz4aRyUPXjeav9w1GbPFypNvJnMo68qvcPpr5YKM/M0338ySJUtYsWIFK1asICMj42LpErlEaOvaeez1A9Q36/nLXZO5YX4MCnn/p4HGUclT6yZy86IRHEiv5C/vHsQgGvpfBRt35/PtoSZih3nw6u9mDdglNybGh5cfnkmYvwvPfnSEXUfKLrJSEXsYsLtGEARKSkpISkpCLhe9PkOBkqpWnno7BZtN4Nl7p9q9eu8JqVTCtXOj8fd04sVPjvK3Dw7x1O2TUIk+2CHLt/sL+fD7HOJDHfjLXVOQSS/MDeeqUfG3e6bw7IeHefXz43TozSyfEXGR1IrYw4BX8kVFRQCsW7eO5cuXs2HDhosmSuTiU9/Yxr/f2Uq0tJxnV/sSom7Fqmu7KOeePjqQh64fzYmCep7/6Ahmi+2inFfk8iEIArt2HWXbd3tZHm3h2ugWbG11XIzSVo5qBc/cMYnJCf68syWL/emVF0GxiL0MuEDZ8ePH+eyzz3jqqacwm83ccsstPPnkk0ydOrXX44xGI1lZWQMSK9I/pPoWVGXHkNUVIG1rQCbpanwtrv6YvaMw+UZjc76wmuFHC9rZeriZxDBHVk52Fzdjr3RsVhS1+SjqC5FUF6C0dHT9iMIBq4sfJv84TP6xIBv4W7vZKvDf3XVUNZpYe5U3QV5DK0v1SiE+Pr5fGbMXrQrlhx9+iFar5Y9//GOvnztt5Psr9DRpaWmMHTt2oDIvO4Oh11CZR3PKJnT5aQBUKUPIbtYwccZ4YmIjsRn12Iw6zI1V6PKPYtTmA2DyiSZ85f0ovQbeluyz7af49KeT3LMygSXTwi/K9+mJoTQXriStgs1Ke/Z+mvZ9gaW5FpSOnND5UO84jDVLxqNydCQvP59hHo4Yq4owlOdibtQic3LFecwCXMcvQeagGdC1W9qN/H79PgxGKy8+NANfD8cL/j5X0tjaw0D1DtR2Dvhn+ejRo5jN5jNt4wRBEH3zg4zNZKBxz6e0HvkBqaMzbpOvZkdrOBv21XLninhGduMLdZ+2Bkt7E23Hd9KYvImK/zyC88g5eFx1CzK1U781XDc3mvzyJt7ZkkV4oBsjhomhc1cShvKT1P3wb8z1FSh9h+Gx8jGe2tpGg8XMq7fPxO1no2tpMOHysyESBAFDSSYth7fSvP9L2o5tx2vxPThFj+/39V01Kp6+fRJ/WL+Pv71/iBcfmiHu4VxiBuyTb2tr4x//+AdGo5H29nY2b97MvHnzLqY2kX6gL8um4p1HaD3yPS5jFxBy35tUhizgk/21zB0fwrLpPa+q5Rp33KdfQ8vMe3EZv5i2E0lUvvd7jFVF/dYhlUr43Y1j8XF35Pn/HqGp1XAhX0vkIiEINppTNqH9+CkEiwmfVY8SsO4F3jkmo7S2gz/cNBafHlbVEokEh2GJ+F33RwJv/ycyJ1dqvnqe2m/XY9W391tLsK8zf7h5HCVVrXz4XfaFfjWRPhiwkZ89ezYzZ87k6quvZvXq1axevZrRo0dfTG0idtKWsZuqT/4CEin+N/8Vr4V3orPKePmTNPw9nbhrZYJd/nFB6YTXvNsIuPmvCFYr2o/+SOux7f3efNM4KHhy7Xja9WZe/vTYRdm8Exk4Vl0b1Z8/S2PSJzgNn0jQ7S+iGTGFHYfL2Xe8kpsWjmB0jH37MSq/cALXvYDbtDW0Z+1H+9GTmJtr+61p7HBfls8IZ2tyMUdza/p9vIj9XFCc/MMPP8y2bdv46aefuPXWWy+WJhE7EQSBxr2fU7f1DRxC4wla9w8cQuIQBIHXv86gqc3Io78Ze06JAntQBw0n6I4XUYfGUb/tbRqTNvTbUA8LcOWO5XGk59fx48HSfh0rcvGwtDWh/fhP6Esz8Vp4Jz4rH0WqdqK2Ucd732aRGOnFmjlR/TqnRKbAY+YN+N/0Z6wdLWg/fBJjdf/f+m5dHEuYvwv/+vw4TW3iG9+lQsx4HaIIgo3679+k+cBXaBLn4HfdH5H+7ENPSisnOUPLbxYOJzrEfUDnlzm64Hf9/8NlzAJaUr+hYccH/Tb0CyeHMTLKiw++y6KmUTcgHSIDx9JSh/bjP2Fpqcf/hqdwGbsQiUSCIAis//I4AA9eNxrpAGPhHULiCLjl70hkcrQfP4WuuH/JkEqFjN/fNBadwcz6L9LFN75LhLhTOsQQBIGa9nqO7nmfk1W5dMTGYHMyYNz1T9RyFZ5qLw4cbiE8OoCrZ11Y0olEIsVz4Z0gV9B6eCtYLXguvAOJxL61gUQi4cFrR/PbF3ez/ovj/N/dUwZsUETsx2qzkll0mLR9H9GgstARHovu5BacCrfjpHSkrVlCVoONWxZfeHSL0juYgLXPUf35/1Hz1Qv43/g06qDhdh8f6ufC2qVx/OebTPYer2TWmIFHdol0j2jkhwjtpg6SilLZXriPmvY6ABzcNPg7OaNGgqvamQ6TntSyYwj+RqrI4YHvjzI5eCwzwyYS5h48oOtKJBI8565FIpPTkvoNEqUKz6vsd835eDiyblk8b3ydwY8HS1g8ZdiAdIj0TU5tPnuKUzlamUG7WQdOEtyUbvjIlXiqnNCb9VS01FDVWo8y0sLnlSdI/SmIeRHTmRU2CaW8/+04AeTOHvjd8Aza//5/9s47PMoqff+f6amTmUky6b2Q3gkJvaMgIIKCsvZe1vZV14II1rWsdVfXde1KUxHpJXRCCElI7yG992TSM+X3RwTBZCYJuq7+lvu6+IMr55z3zHnf93mf85z7uZ9nqN/8Ms43voBU7THm/guneHH0TDUf/5BDdIAaa4tLm8dljIzLRv53js4+DVtyd3KkLIkB3SB+MhXxjRqCPaIIueohRMKf6GfphY2s3ZPEsjnuBIToSKxMZV/JUXYVHSTWNYJVoUtwlTuNew4CgQDVrD9hGOij49R2JEon5FHzx9x/QZwHiZm1fL4rj/hQpzELXV3G2JDfVMyWnJ3kNhZhKTEnsFdHYEsX05Y+gcIj9KK2L36STG1xI0/c5Ud1bznJ1en8O20jm3N2sMB3OosnzMNcMv77I7ZS4HTDc9R+/gx1G1/A+eaXkCgcxtRXJBRw/7XhPPzWUT7flccD10aM+/qXYRyXjfzvFHq9noOliWzI3kbfYB8zPOOYaeaAdMe/sAyYhPqqhxBcYOD7B3V8sDULZztL/jQvDKlExGT3GLoHethTfJgdBQmk1GQyyzOeGyOWYykd3zZdIBBgO/82Btsbad77EWIbeyx8xsamEggE3LM8jAdeP8Tnu/J4eFXUuK59GSOjrbeDj1I3kFqbhY2ZnJsilhOec4bB8mTU1zyG1c8MfGp+A8m59dyyKIiJXn5MJICrAxeQ31TCzsIEvsvdw6HSk9wWtZJLYa5LFGqcrn+W2i+fpX7TS7jc+ipCmfmY+no527B0ug/fHylhVrQbwd7jRLaGAAAgAElEQVS2lzCDyxgJlw9ef4do6Gri2YOv81HaBjxsXHh9wRpu952D2f4vkTp4Yr/kwYsMPMA3B4uoa+7mvhXhFxVpsJRasCJ4Ee9d9QIL/WZzpPwUj+97ibzGonHPSyAU4bDsUaT27jRs/RsDjWNXFXSxt+LqGb4cTKmioLx13Ne+jIuRWJnCo3ufJ7MhnxvCrubvi15gcm0DgwXJqObchFVg/EXtB7U6/rUtGxd7q4sEwgQCAUFqP56Ydi8vzHkMa6klbyR+yNa6A3T0dY57XlK1Ow7LH2OwtY7GHe+N6zD1hvkTsFea849vM9HqLusf/Vq4bOR/Z0irzebJ/a9Qo2nggUm38NysR3A2U1D/zasgFOGw4gmEkotTmhtae9h6uIQZka6E+9mPOK5cZsXNkSt4Yc5jiIUi1h9+mw1Z29DpdeOan1BmPsTkkcho2Po6+oHeMfe9bq4/djZmfLA1C53+MpPiUjCgHeDdU5/yTtInOFupeX3+01wduABdWTbtJ7diHT4Hm0lLhvX7/shZ6pq7uWtZqFFpaX87b16Z/xSrw5ZR1lPNk/v/SklL+bjnaO4ZimrOjfQUJtN+8vsx9zOTibn76lCqGjTsOTn+617GyLhs5H8n0Bv0bMr+gVePv4/a0o5X5z/FdM9JADTt/AeDLbU4XPN/SBTDk1Y+35WHQCDglquCRr2On60Xr81/mtneU9iWv4/XT/yTvsHxcZTFclvUyx5hsLWe5j3/GrO3Zi4Tc9uSEEprOth3qnxc17wMaO/tYN3ht0isSOG6kMU8P+cxnOWODHY00rj9XaRqT2wX3D4s8a2xrYfNCUXEhzoRNUrSk1goYmngfP7kuhihQMBzh/7GodKT456rTexiLIOm0HZkAz1n08fcLzbYkXA/OzbuL6CrZ2Dc172M4bhs5H8H0Op1/CP5c37I3sN8ZThPuCxBnF1KS3IKdVs/oy01CXncCsw9Q4f1LShv5XhGDdfM9MVOMbb4p5nEjLsnruaO6FWk1+fy3KE3ae1tH9eczT1CUE5fSVfOMTQZB8fcb2q4M2G+dny1p4Du3sFxXfN/GeVt1TyV8Cp1zdU86raYOQPOdJzJoCUpiYoPX2SwZxD7pQ8P2+UBfLk7HwwG7lgSMubrOcjseGX+UwTY+/LPlC/5KvP7cYVeBAIB9ovuQ6p2p3H7u2i72sbc7/YlIXT1DrLpwPhDipcxHJcPXv+L0A8O0nzmDIcObMKptJb723QI9Aco4MCwti15Wyj7+hBW3l7YhIVgGx+PRKXi3z/koJLLuGaW77ivP993BvaWtrx18t88c+A1rrGfO67+isnL6KvMo2X/x8icfZE5eI7aRyAQcNviYB5+6yjfHS7mpoWj7z7+lzHQ3kHBkb1kHdzB1a2DWHVp0fJv8kZo23jmUcydnVGEh6GIDMcmJJiyln6OnKnm2jl+RrVpjEEus+Lp6Q/wyZnNbC/YT99gH7dFr0Q4xjwJodQM9bJHqfn4cZp2/APHVc+MSV7Dy9mGebEe7EosZeFkT5ztL03x8jKGcNnI/xfQXVFJY8JBGo8cRdupwVkIeDjjNisOMydHpEolYmsrGre/h1bTjmr2bfS3dNBdVkZXSSmtp1Mo+/en6F09Met35Mbbrhm3dME5RDqF8Pzs/+PFo++ysWYXIZoQnMaoKy8QilAvfYjqjx6lafs7uNz6GgKxZNR+Pq4KZka78sPRsyyc7DXmHcj/Cgw6Ha2nU6jduZvO3DwwGHCwFOMQFonSywdzN1ekSiUDTeW07P0Ic++JyDxj6WtooKvkLA0HEqjbtRuhTEa5vR9eZr4snzU+6YJzEAlF3BF9PRYSc34o2E+ftp97Y2+8iLprClI7V1RzbqZl30d0pu7BZuLCMfX70xUBHM+o5pMduay5bdIlzf0yhnDZyP+G6DpbSuWGTbSlpiEQi6j3UnA6SsHixbczxXfyRW1bDn6OoL8W19VPDpN07a2ppfF4Ilnb9nNlbzmSfxVQXXcVjlfMR2w5fnlgT6Uba2c+zLMH3mD94bdYN+sRHMdo6EWWNtgvuo/6LS/TdnwLqlmrx9TvxisCOZFRy9d7C3ho1WVhOxja2dXvO0Dt9h30NzQitFWQGmpNq689D654ClvLnyQq9P09VB98G3NXR1xvehih9Cduu35ggM6CQgq2H8AxNZmVhhzOPpeH++rrUYSHjXteAoGA1eHLsJCYszH7B3QGHX+Ou3XMHr08egE9JWm0HvwCc88QpPbuo/ZRys24do4/X+zOJ7e05TKl8hfgckz+N0BvXT0Ff32NzEcfR1NQiOvqVZy8azKbJ4pZtOzuYQa+ryqfjlM7sI6aP6Jmt7mLM1ku0fzLeRHSOx/C0sODii++4sy9D9CQcBCDfvz0M3eFC9e7LGRQr2Xd4bdo7G4Zc18Lv2isw+fQnrSNvpqxxVHVKguumurFodRKyuvGT9X7/wkGg4GWpGTSH3iYso8+RmZri+L+W/jnlVaUx3vy8HXPXGTgAVoOfIa2swX1kgcvMvAAQqkU65AQvjaL5NuoG3G//TYGWlvJXbue3HUv0FVadknzXBZ0BTeEXU1iZSqfntky5hi9QCDA/qr7EcjMafzhXQy6sRV8XzzNG5Vcxhe78y7r2vwCXDby/0HotVq0iUlkPPgI7RlZuF2/ksh//p3v3To53V7IHdHXM80z9uI+g/007XwfsY09tnNuGnHc3n4tWxKKCPW1J2bRNILXryXsjVcxc3am5L33yXriaTTFJeOer71MxdqZD9Gv7eeVo3+nq394OThjsJ13C2JrFU3b30M/2D+mPtfN9cfcTMLnu0aKMP9voLeuntxn11Hw19cQSMQEPbcG+2ce4u2e41iZWfHsrIdQmttc1KenOA1N5kEU8Usxc50w4rhH0qoor+tk1ZJI3JYsIur99/C87Wa6SkrI/L8nKPv0c3T9Y7tPF2JpwHyWBMxjX8lRtuTsHHM/sZUC+yvvYaChjPakbWPqYyYVs2reBPLKWkkrGL+c8WUM4bKR/w+hu7ycrMf+gvbgYZTRkUT+4x3cV13HxpJ9nKxMZXXYMub5ThvWr+34FgZba7FbdA9C6cix6h3HS2nv6uemhYHnD7Ks/XwJfeVF/B55kP7mJrKeeIrKTVsw6MbHg/dQuPL41Htp6G7m1RMfMKAdG41NKLPAfvEDDLbW0nZkw5j6WFtIuXa2H6n5DeSX/W8lSBkMBur27CXjoUfpKi3F++47iXznTQRBPrx09D30Bj3PzPgzKnPFRf30fd007f4Aqdod5bSVI449qNWzYX8hvq42TA13Boa8e5elS4j+5/s4zp9L7bbtZDz0KB254yvaIRAIWB22jNlek/kubzd7i4+Mua9lwCQsA+NpO/ENA83VY+ozN9YDR1sLvtydj/5ybsUl4bKR/5Ux9PLuI/OxJxlo70By3XICnnwCma0t+3/UkbnSbxZLA4drv/TXnaXj1Hasw+dg4RU+4viangG2Hi4mNsiRAM+LS+sJBALUM2cQ9Y93sZ82laqNm8l+ag29dfXj+g1Baj/+HHcLRc2lvJv8Kfoxhn/MPUOHpIlTdtNfd3ZMfRZN8UJhLeOrvfnjmuMfGQPtHeStf5HSf36EPDCAyHffxmnhFQwYdLx67H3aezt4cvr9OMsdh/VtOfwVuu4O7Bfdb/SQO+F0BY2tPay+InAYm0VsZYnPvXcT/MI6DHo9Oc88R8XXG8flDAgEAu6KWU2MSzifpm8hvS5nzH1t59+BUGpG0873MYwhEU8iFrJ6QQCltR0kZtWO+TqX8RNE69atW/dbXlCn09HY2Iharb6kmrB1dXU4Ozv/B2b2y6Ht6aH47fco276P/sA4DPNXUdwkJD+ricMJeeScrselZQKSKjty0mspzmugvKSFtpYeBvsHaN/7HmIhOFz3JEIjioCb9heSVdLMX26KMSr0JZRKsY2Pw9zFmcZDh2nYdwALD3fMXUyv24Vr62bjjIXEjN1FhxjUawlzDBzTGpi5BaDJOkxveQ7WEXNGlSUWi4WIhQL2JJUT4mOLg2rsB8e/52fh5zg3V01hEdlr19PQ2Iv4ypVoAqaSmdlEWlIFu/efQVdijbcmjPr8XrLP1FJa2ER9bSedbb3015fRc+wzFLGLsI6YM+J1BgZ1/PWLFDyd5Bft9H4OMwcHHObNZaCllbqdu+nML0ARFYnIzOyi+RqDQCAg2imE9LocDp5NJNo5FBsz+ajrIJSaIbJS0pm6G5GFNWYu/qP2cXOUk5RdS2ZxE1fGew6Tq/4jPQdw6fO9VNt52cj/CujrHST7RCF7399JeqeaMtsoqrVKKso76OnWokNPTX81YjMhE5w9sbIyQ6fV0dnWS3VFO4U59WSl1ZLd6kG1MJh2jQGDwYCNwhyh6Ccj2a7p542v05gc5syiKcZrtp6DpYcHdtOm0p6RSe32nQiEQuSBAUZf/J+vrb+dN+19newuPoyTtRp3hcuo1xSIpYgV9kPFxGUWRmPGF8LL2YaDKZWcre5gbqz7mLjUI83394yigkry92ZzeHsW+VYRVFtPoLzJQFVFGzqtjvaBTlq1LTirbXG2tUcoEqLV6mlu0FCc10BBTgOZ2Z0U9AfTgAddmn4sraRYWF7sDOw6WcaJzFoeXhWJo63pD6ZQLMY2LhaZvR0N+w7QdPgI8qBAZLa2Y1pbsUhMlHMoR8tPkVR9hqnuMZiJhydj/RxStQf9tcVoMg9jHToDocw0f18oEGBrY8auxHIcVBZ4u1wcwvojPQfw2xv5yxTKS4ROq6cor4H001WUFjSiN4BEYIuXjxLPcE+cXRU4ushJyTzNlqZ99Gj7eGXeX7CzuDjEYjAYaK+tIe+TN9FYB9NsHkzqyQqSj5UhMxMTFOZESLQLnt62bD1SwuCgjuvnj244z8FMrSb0ry9x9h//pPLrjXSXluH3yIOIZKO/jAC3Rl5HdWcdH6R8hbO1A96q0XXCLSfEYeE3kbZjm7AMmDSq5KxUImLlXH/e/y6LM4WNRAeMTaL2946Otl4yUqrIy6ilqWGo4LXcUkl4tDteAY44OMlR2lqQWp/J3xK/YbrHJO6fdOWwj5xOq6fiwHeUJZ2m2/NK6loHObirgIO7CrB3tCY4womIWDek5hK+OVhMqI+dUQ2jkeAwdw5WPj7kv/wqOc+sxe+RB0E2Nk13Wwslj0+9h+cOv8mbJz/i2ZkPIx6FQy8QCLC74i6qP3yI5v2f4LjiiVGvExvsiK+rDZsTipgZ7YZYdDnSPFZc9uTHic72Xo4dKOb7DelkplbTp+nBqSWXYEE5K/6yjKi5Ybh6KLFRmiMQwYfpX1PTU8+T0+/DQzG86o1AIKBj7/uYd50l8o6HiZgygfiZ3rh5qtDrDeRn1ZF+qoqstBrOFDYRFe7EFeMsvCEUi1HFTUJkbk7dzt10ZOWgmhQ7zNCPtLZCoZAopxBOVKSQWJnKVI+Jo3prAoEAM7cAOtP2MtBUhVXwtFG9c08nGw6fqaawso0FkzzG5M3/t5+FkWAwGCgtaubA9jx2b82m/GwLFn1tuDacYWakOYufWMmEMBfUjtZYWEmp0dTxyvH38Va48X9T7x7RQOra69HsfguXkACib7iBmMmeRMS6oVBZ0N7aQ2ZKNcnHy8nKrqemtZv7ro8cd3arVKnAbvpUOnNyqf1hB4jFuMROHNN9UFkocLC0ZVfRIXoHe4lwCh61j8jMEgRCNGl7kDn5IrE1fR8FAgEqGzN2J5bj+DNv/vf4HJjC5XDNKPhv3dCmBg0JO/LZ8U0W1eVt+AaqibTtwOXE53j7qohZ9wRmdhcnbHyXt5vjNSncEnkt8e7RI47bXXia9hNbUM28AQvfoTYikRBbe0sCQh2ZNM0bewcr8goasezTQWsfA/1aHF1skEjHrvotEAiQB0zAwt2Nut17aU06hTImGrHVTynjxtbWTCwjWO3P3pIjFLeUMc0jdtREGKHMAoFYgiZtLzIHL6R2pkM9IqEAc5mYvUnl+Lsrx5TK/nt6uQ0/fpC//zqDpCOl9PYOMjHWmYDKgziUHMV2ZiSR99yOQPjTuvUO9vHCkXcwYGDtrIexkg4PrxgMBhq3v4NW04rjdU+d12c3M5fg6qEkItaN0GgXEEBxfiNqhLTXabCwlGJnbzXm0BeAyMwMu+nT6K2to/vocbQaDYrIiDGN4a5woevH2gVO1g5jCu2ZufjSXXCKnqIUrCPnIRCZtgfOdpak5NWTXtTEwsle52Pzv6fnwBS6Nf1kpFSh1Xfj5jb6+vwcl2o7L+95RkF7aw/bNmbwz9ePkpdVR0y8B/c/OYsYfS767V9gP3UyQWufQWx18QuaXpfDNzm7CLb25Qq/mSOOrR/oo2X/x0js3bGJvWrENhKpCDd/e1J6+zELsMU/yIHEw2d596WDHN5TSO84lfrsJscT8vxzDHZ0kvWXp+muGJsmvKfSjTujbyC3sYjNOTvG1McmZiESezdaDnwyJu787Bg31EpzNu4v+MMkvxgMQ8b9n28c5dsvzqAd1LF0VTj33huJKuFjqCwi4MnHEcfGDOv3QcqX1HU18nD87cOokufQU3Sa3rPpKKevRGytGrGNys6SXhsZGQYdMbN96O8b5JvP0/jn345RmFM/rrUUyWRMeOwRRHGx1O3aQ/Hb76HXji156caI5QTY+fBhyldUtteM2l4gkmB3xZ1oOxppP/Ht6O0FAq5fEEB9Sw+HU6vGNKffA3p7Bji4u4B3Xz7Evm25dGvGtp6/Fi578kbQ2zPAoV0FbNuYQVNDF7HTvLju5hgCQtTUfPox9bv34rjwCnzvvxfhz35Hc08rLx19DycrexbbzcLNZeTixG3HNtNTkobjisdNxq037C8kv6yFp+6IY1K8B0FhTmg6+khLqiA9uRKJRISjq82Yi2TL7O1RTYyh6cgxGg4kYBMaisxWNeraeipdae3tYE/xYbyU7jjLTcfOBUIhUjs3OlN2AYIRVTQvhFAoQCYRsTepggAPFU52pg8O/9seXFV5G999dYZTR0uxsJJyxbJgFi4PRSHqIW/tcwy2dxD03BqUkRHD5rq76BC7ig6yOmzZsIS4c9AP9tOw+WVEcjvUV9130S7gQvQNaHnty1QmeCi5+4YoYqZ4YudgRXlxMymJFZSXtGDnYIV8jBpBAoGAenMzXD08qN2+k+7SMlRxscOe859DKBAS4RTM0fJTpNRkMtMrHsko3rlEoWawvYHO9AQsg6YgsrA22f6cN3+msImFU4a8+f/2c2AMOq2e5GOlbPksjbKSZoLCnLj25mj6B9svh2tM4T99Q/V6A2dOVbL501QqSluIjHXnupujCQx1RNvfRe5771F9OgmreTMwmzKRlvpqmmoraW2ooa2pjraWBj4++SXdvRoemXwn/Zr+Eec72FpH4/Z3sAqZZtSLB+jo6udvG9KYGuHCgjhPACytZASFOzMh1JHGOg2pJyvIz6xDYWuBrf3YKIgSGxts42JpPn6Shr37kQcF0qodHHVtwxwDSa/N4UjZSSa7RY9aRlCiUDPYVk9nxgGsgqYgMjf9Ens4yTmYWkVpTTvzRmHa/Ldebk1HH7u+zWL/D3nodQbmLw3iqhVh2DlY0lqYz5mXX6LHMIj9LdfTKxPSXF9FTUUJ+v5uOlobKajMY2PqN4SrA7gxagUiI4aw7fgWekrScFj+GBKl8Q/qrsQyTmbV8cj1UaiVFkP5Ek5youM9sJabkZ9dz+njZbS19uDqqUQ6BjG7uro6AubOQaJQULdjF5rCImwnx41q6M0lZvio3NlVfIjG7mYmuUaOGu6RufjTmb6fwaYqrEJMn9+cj82f/Ck2/3s08kV5DWz+JJXcjFo8fW257pYYYiZ7IJUKaWho+E2NvMDwG++L+/v7ycnJISQkBNkYGR4XIi0tjejokePbvxS1Ve3s2Hyalvpq7Ox1uLoKGOxro7OtGU17K/oxam5cCIFQiFxhh5VChdLeaeif2hnD6a3oawtxu+c9xNZKo/0/35XHd4eLef+J2biqhxtIg8FAUV4jB7bn0drcTWCYEwuuDkJuMzavrb+5hZxn1zHQ0oJo5Qpil18zap+Grib+sv8VnKzVvDD7McSjeGtaTRtV//wzZq4BY5Kb3X2yjA++y+KFu+OJ8DculPaffBZGgl6nJ/l4Gcf2nQF9G55eImzkg2jam+hsa6a3SwOM/3WSysyxVtphY6tGYatGqXZGaWlB1/evIg+ajHrpQ0b79g/quPOlA7iqrXn5vikjthno13L8YAlJR84ikYiYucCfiVM8L6Ln/hwXrm3jkaMUv/N35IEBBD37NCLz0Z+trXl72JS9nbtibmCuz/DM7p+jPXkHrQmf4XDtcEG+n8NgMPDwW0fp7dfywROzychI/02fA1PoaOtl93fplBUUI5f34+EpAl0HmvYWNO2taAf7CZi6hDkLrx732JdqO/+nKZR6vZ7mukoqi/LJSc2ko6UKkaAHuQQG2qGmzwKFnSN2Tu4oNDq0NTU4TZ2K87QZSM3MEUskiMQSBAIhBr2e7Lp8Pk/bTKw6hFlusfR2azhbmI+luYTO1maKM5Pp7+s5f31Lcxsct2/A0d0XZ08/7JzdL/LqND0D7EosZWq4y4gGHoY8mwnBDvhMsCPpSCnHDxRztrCRWVcGDL3Io4RwZHa2hL7yAjlrnqN3w2Y6/P2xCTVdXMLByp57Jv6JN09+xIbsH7gpYrnJ9mJrJcrpK2lN+IyekjQs/WJMtp8X686WhCI27i8k3M9+XIeHvzb6erqoqyihJCeXouwc9APNWAq0IISmSgF9NipsbB1wc/Oj61QaUoT4XH891s4uSGRmSKQyBAIhubk5BAUG8UnqRoobS7g5eBlKkQU9mg66O9vpbGuirbGW8oLM886EAHPsyptx/OHLoWfEyx9rxcWH+weSK2jT9PP4n4yvqVQmZs7CACImurL3+1z2/ZBH9pkarrouHEfn0ROY1DNnIBAKKXrrXXLXv0jQ2jWILUwb+qsDF5DXWMynZ7bgq/LCUzlyyPIcbGKuRJORQMuBTzH3DjeaDAhDz/zKuf688nkKxzNqML03/M/CYDDQ3lxPTWkh2afTaawtR2joRC4BeqGmRIrCzgGFvSMKvYSB7AIsO8dXie2X4n/KyBsMBtqb6qkszqayOJe68mIG+odqlOoMFshVrgRHh+Lo7oXKwRlLawUGnY6iN96iJaMMrztuw3nxohHHbulp47PS3di5uHPr3HuQioZSzrUy5Xkvw2Aw0N3RQuEna+jQwoBrMI015ZzNSQVAIpXh7OmPm18wbn4h7DnTSW+/juvmjp4VKBaLmDbXj5BIZ3ZvzWHftlxy02tZsjIcOwfTTBWpQkHIi8+T+tgT5D3/EkFrnxnV0Me5RTHfdzo7CxMIUfsT5Ww63n7hS2zhFW5Sd14iFrFith8ffp9NTmkLoT52Jsf+NaEdHKS2rJCqklyqz+bTVFcJBgMGgwCDUIm7fwx+oQHYO3ugUjsjlkjpLi8nZ806lFIJIS+ux3yErbi5dQ3JHYWc7irhpskrmDxh5IxVvU5HffphSnd+xKBbOB0GMQVnTpJ96hAANio1Lj4BuPkG4eQVyHeHignyUhHiM7oUr629FTfcGUteRh17t+Xw0VvHmTzLhxnz/BBLTDO17KdPQyASUfS3t8l7/kWCn1tj0qMXCoT8Oe4Wntj3Mm8lfcSr857CTDJyhjaAQCTGbv7t1G1YT8ep7SinrjA5n7gQJzwcrdlysIhbZ9uYbPtro6ujjaqSXCqLc6g5m09P15CKqt4gxczSkYCIqbj7+mHr4IK1whaBUEjlpi1UHTuCes5sOnzHX+Dnl+D/eyOv0w5SU1pIWUEG5fkZaNqHJHTlKjVSK19au82xVrlzzfWTcfO8OGxi0OkoevNtWpJO4XXHrUYNvF6v571TnzKo1/Jw/O3nDfzPIRAIGMw9hrK3icAb1p7Xp+nqbKOuvPhH45JHxa5NAPRhziy1N3R4orULQiwZvSCH0taSG+6IJftMDfu25fLhm8eYMd+fyTO9TW7PpQobpDetRrjluyFD/9wabEJM851vilhBYXMp/0j+nNcXrEFlMTJDBIZeYtt5t1G/8Xk6Tu9AMdl0WGjeJA82JxSx5UDRf9zId3e2U5afTnlhFtUleWgHBxCKxCjVHiANp7NLTnBMKAuWhmNmfvE96KmsJOfZ9QilEkJeeh5zJ6cRr1Hf18zXpTuJcg5lkf9so3MRoEeX8gMeDmpcb3kcgUiCXq+ntaGamtJCqkvzKclOIS/lGCDAW68kPDCWtqY6lPZOo+56BAIBwZHOeE+w48COfBIPllCYU8/SVeG4uBsPGwLYTRmSxC584y3yXniZoLXPnJdBGAk2ZnIejL+N5w+/zSfpW7gvdmRV1XMw9wrDMiCe9sTvsA6dgdjGeEKXUCjgurn+vP5VGvlVUiaa3hz+Ihj0ehqqyygvyKAsP5OW+iFmj7mVHJmlG82dMkRSJ+YviyMk0mXYPaja8i1VGzejnj0L3wfu5Uz62Gve/hr4RQevO3bs4JFHHuHzzz9HKBQSFjZ6QYLf4uB1cKCfsrx0Ug7v4NDWz8hPPU5rQw1OHr5ETJ2Pe9AV5Obb09xiQ9ysKJbfOAml7cUHiAadjqK33qHlxEk8b7sZlyWLjV7vu7zdHCk/xd0xqwn9mcbLhfPVdrbQ+P2bWPhFo5zyU4hDKjPH1sEFz4BwwibPJTBmGmdbRNQ1tqPSVVOYnkhm4gGa6yrR6/VYK20RmfCEBQIBDs5ywie60dbcQ8qJckoKm3D3UmFhZXwbXNfcTOiK5bSePk39nn3YhAQjszduYEVCESFqf/adPUZJaxnTPSaZNDISpSP9DWVoso5gHTrTZDq7WCQEA+w9VU5UgHrE6lG/5MCto7WRvNNHObF7Myd2baS8IBOdTotf6ESiZy4Gs6cyksgAACAASURBVElkZ1sgtXBh+U3TiZ/hO8zb7amuJmfNOgRCIaEvPT+iBw/QN9jHO2c+xVxqxjMzHkBmIpmsI3kH3XmJqJc+hNR2iEstEAiwsLbB0d0H//BJRE67AlffYI5ktSIXddNdk032qUMUZZyiu6MVqZk5lnKF6XshETEhxBEXDwX5mXUkHytjcECHu7cKoVBodG0t3N0wd3amdscuNAWF2E6ZbPIwVm1pi86gGzN/3szFj87UPWg7m7EKjDfZ1tXBmuMZNZTV97B4uu+vGtbT6bTUlOaTfmwvh7//nMzE/dRVlqCwcyQ0fg6BsVdRVulBVbU1E8KCWXXHVFw9VMPmUP3d91R+tQH7WTPx+/N9CESiP04yVENDA4899hhbtmxh9erVrF+/nokTJ6JSjczl/aUTPQdjC3TOsCcnbOPw959RlHmKHk0HviHRxM5dxqxlN+MdPIkzKT0c3luGXGHG9bfHEj7RbZiHa9DrKX7vfZqPHsfj5htxXbbU6Hzym4p5//QXTPOI5bqQq4bd5Avn27z3IwabKnG89i+IzI2HUPQCKW9tq0btHcHDD92Bk4cfQpGQyuIcCs8kknFiH001FRgMBqyVdoiMrKNUJiY4whk7tRXZadWknChHIhXh4j6yAairq8PN2wvbuDhakpJo2Lsfm7BQZLbGQwHWMitU5jbsLjqEWCQm0N50mTmZsy+dqXvQdbVhGRBnsq2ns5y9SRXUt/QwM2p4THe8L0tHayO5yUc4vmMDSfu+paokDwsrOaFxs5m+eDVx85cjtfRg19YKivOaiY5357pbJmI/Qrirt66OnGeeA4OBkJfWY+Fi3Hh9mPo1ha2lPDHtHlxtRvb0YeiAumHrG1h4R6Ccdq3RdgKhkNSzPWw7M8CNN17HvIWLsLFV06PpoDgzmdzTRyhIO0HXeYOvNGoAVXaWRMS60dM1QEpiOYU5Dbh6KtF0tRpdW0sPd8wcHandvhNNUTF2UyYjEBkP9wTa+5LTWMjh0pPEu0ePmPR1DkIzSwx6HZq0vZh5hiIx5c0LBFiYiUlIrcHHxcboudVYodfpqDqbT9rRXRze+hm5p4/Q2liLq08gMTMXMWvZLQTHzqK8TMiurSXotHquviGC6fP9kUqHv4M1P+yg4rMvsJs+Ff+HHji/Rn8Y7ZqTJ08SFxeHQjG0RV+wYAF79+7lgQceuNQhxw3t4CCVRdkUZyVTlp+BdnAACys5gdFT8QmJwdnTH+GPC1tZ1soPGzNoa+0hboY3s6+cMGIc0mAwcPaDD2k6fAT3G1bheo3xU/Cu/m7eTfoUtaUdd0Rfb9KT6KsupCvnGIrJ1yBRDpeQvRB7k8rR9Aywcq4/YokEjwmheEwIZcbSm6ivKKEkJ4WS7FRK884glkjxmBCGX/gkPCeEIZYM99SDI53x8FGx89ts9m/PozC3nqWrIlAYSX2XqpSEvLCenGeeJXfdC4S8sA4rH+OCaDM848iqz2dLzk6C1f5MsPMx2laidMQmbgntid8hj16AmWuA0bbmMjFLZ3jz1Z4Czla34+NqPBxkDJr2FkqyUyjOOk1j9VBFJAc3b6YsXIlPSAxy5dBORafTc2x/MccSirGylrH6rkn4TBjZwPQ1NJKzZh0GnY6QF9dj4Wr8UPF4+WmOlp9isjKSILXps5XWI19j0GmxnXuLyXY6vYFvDhbh5SxnYpADAoGA0LjZhMbNpq+3m7K8dEqyU8lKSiDjxD6slXb4hcXiFzYJOye3Yc+pmbmExSvDCQhzZMfmLP799gl8QyyJjNAbDfGpZ07HoNNS8u4/KHj1DQKefByhkXCiSCjiwbhbeWLfS7yT9PGojCxF/NVoMg/Rsv8TXG57FYEJLZwZka58tiOLLQeLiA12HLc3b9Drqa0opjgzmZKcFPq6u5BIzfAKjMAnNAZ3vxAk0qGdV2tzNxs/PklVeRsBoY4sWh6KpfXIu7K63Xsp/+QzbOPj8H/4QZMfwf80LtmTP3bsGFKplPj4oS1VRUUFpaWlzJ5tPN4Iv9yTr6mpRtvVSurhHRz67lMK0hPp6erAPzyOyQtXMm3xarwCI5Cr7BEIhWi1Og7tLmTHN1mYmUlYeWsM0fEeIz68BoOBso8+oX7vPlyvXY77DauMzsNgMPDeqU8pa6vk6Rl/Rm01clijrq4OJydHGr97HRDgcM2jCIzE7GGIEncuseW6uRcLkQkEAqyVtnhMCCNiynzcfIMRikRUFGVTkHaCzMQE2hprEYpEyJV2CC9Injnn1SuUFmScrib1ZAVW1jIcnOXnX4wLPQyxhQWqSRNpPnachoRDKKMikSpGNrICgYBQxwASK1NIrkpnple80XMJAJmzH5rsI/RXFfwoR2z8xfRysmHPyTJaOvuYFnGxt2zMI+rRdJB/JpETuzdxYtcmqopzsbBWEDF1PrOuuYWo6Vfi5OGLzHzoI9fc0MWmj0+Tk15LaJQLq26biNppZNZJf3MLOWvWou/tJeSFdVh6Ghdsq+9q4rXjH+Cj8mCeMg4XZ+Pefl9NMS37/o1N3BKsgkamQp7Dyaxa9pws5+5loXg4XjxPsUSKvbM7EyLiCIufi9Leid6uTooyTpGTfIjirGR6u7uwtLLB3PJiz9fW3orwiW60t/ZSkNnC2cImPHxUw5Quz8HK2wupUknt9h30VlVhGx9nNGHLUmqBk7WaXUWH0Op1JqWrBSIxYmsVnal7EFurkDkZdxqEQgFNjXUk5bUT6Dl6Ah38KBVRXUb68b0c2vopWScTaG2sxcM/lEnzhnb9fuGTUKmdEYnEGAxDuTNbPkulp3uAxdeGMevKCUbzDRoOJHD2gw9RToxhwuOPDgtn/dae/CXz5D/44AP6+/t5+OGHAdiyZQs5OTk8//zzJvud43peCrpaG8g/sQPtQB8iiRSVszd2bv7YqF1HfLg62wbJSGpH067FzcecoCg5YsnID6HBYEB74BC6U8mI4iYhnjfbpPFJ78hnf1MiM21jmaQ0fRYhrc7EMmcX3WFLGHA2zVo5XdTF7tR2bp5jh5eD8UOti+au19PZVENzdTEt1WfRDfYjkshQuXhj5+qLXO2K8AJvqKdLS+apDlobB1C7yAiNtcHMfGRPQ9/axsDnX4Feh/TmPyG0Mx6jr+1r5OvqHfhZerLU0fT6SWtzsMzaTnfIIgZcRy6Qcg6HMjs4lqvhvoUOqBUjfzwG+3tprSmlpbqYjsYawIC5XIWdmz+2br6YWw3/QBkMBsoLeyjI7EQkFhA60QYnd+OMEUNXFwOffYWhuxvpn65HaEKfX2fQ8XX1TloHO7jVbRk2EhOhBIMB61OfI+zrpGPa3WAiZq83GPhwTyM6vYH7FjqMOct5aH3O0lxVTGfTkOSAhY0tdm5+qFyHr09teS85qR3odAYCI+V4+FkYvZ/a5NNo9yUgDA5CsmyJUUMPsK/xBBmdBVznfAVeFiZolQYDVqe/RtTVROf0ezBIjN8Xrc7AuzvqUVqJuHXuyHkVBoOB7vYmWqpKaKkupr9Hg0AoROHogZ2rH0pnT0Qj0Db7enRkne6gqbYfWwcp4XEKzC2Ne+W6rGwGt+1A6OONZOUKBJfgyI6G34wn7+joSGpq6vn/NzU1oVYbT1z5OS4lGaqtqZ6migKiJ8/C3T/E6OGjXqcn8fBZEvcXYWEhZdXtkfgHGc8YNBgMVH61gepTyTgtWojXnbeZNFCV7TUcTviccMcg7pl+s0mxrrRTicjLTiB2nYDXVTeZHHdQq+fvuxMI9FSx/MrJ49x6DiWQ6LRaKotzKMlOoTTvDE3l+cjMLfEOjsI3JAZXnyBEYjFTpxlIPl7Gwd0FnNzXxqIVofRq60ZMKukJDCTnmbUYNn5D0CsvGGWQRAO6fCEbsrbRruxjrs9Uo7M1REVR21qIqOwEbgtWIjQz7oH5BQxw+sX95NZJuHLOT/NLSjyOtUTH2ewUqksLMOj12Ng6EDPrKvzCYrF1NG5E2lt72L45k/KSTvyC1Cy+NgwrufGP6kB7BznPrEXQ00PI+rXIA42HmQC+yvyeuv4mHp18J3FuUSYTtzRZR2jqqMV+8Z/xDZs8YptzSM6po6G9hkdviGJitJvJtsMxdD+6O9spyUmlOCuZypxTVOacws7JHd/QifgER6NUOwFpzJwbw/YtmeSmNtHTIWXJynBslCMY2+hoqh2dqPj8S+RqNX4P3m/U0IdoQ3nqwF/Z13qSNyY+Y7LQSL+bHTUfP457ZxF2828z2i4tLY1V84P417ZsZAoPQn5kY53z2M/mpHI2J42O1kaEQhFuvkH4hsXiHRR1fjc3EnLSazi4LwetVscVVwczcYonAhMf1eYTiRRu34VNWCiBa54yKud9qUl8l+ogX3K4RqVS8fbbb7N48RDr5NVXX+XWW2/FwcG0nskvCdeYW1rRa5ASFB51kWd6IZoaNGz+JJWstBqCwp25/o5YHF1M82irNn9D9ZZvcVgwD++77zRpXPu1A7x8rgbnzAcxN8H9BWg/uhFRUxmOK54wKjB1DgdTKjmSVs0D14aPSYVxJAiFQpT2jvgERxMxZQFqF0/0ei2luWfITztB1skEmuuq0Ot1BIT7EBLlRsXZFpKPl9PdqSUg2HWYuqVELkcZHUlDwiGajhzDdtLEi9QrL4S/nTeFzaUcLD1BrEsEcjPjSVwyB086Tu/CoNdh4R1h9DfJpCK6ewfZn1xGlIeEqvzTnNyzhaKUg5QXZCIQCAmOncn0xTcQN385br5BWFiNbDwu3HprOvtZuDyEuVcFIjMzHl4a7Owk99l19Dc0DOUQBAcZbQuQWZ/Hv9M2Mtdn2vkyj8a26Pr+Xhq+fRWpnRu2C0w7FwaDgb9tPINUIuT+FeFj9uJ/DqnMDEc3b4JiphMYMw1rhYr25noKziSSfeogxVmn6dF0oHZSM2lGMHIbc9JPV5GWVIGllRRHF/mwecoDA4aYI9t3MtDahjImesTfIhaKCLT3ZW/xYcrbq5niYVzOWGylQNvVhubMfiwD4hBZjvwe19XVER8dwP5TFdQ2duAj15BxYh9Htn1Bxol9NFSVYe/iQfTMRcy+5jaCY2dg7+xulJLcreln++ZMjh0oxsFZzp/unoRfoIPJe9NyKpnC199EHjBhKCvYBLX0D8OusbKyQqVSsWbNGjZs2MDVV1/NwoUL/2MTPQejL8uP3vvWr9IZ6NeydGUEMxb4jyrHW7XlW6o2bEI9eya+999rcqsJ8EnaJjLq83hs6t14jqAPfyEGmqvpPvQp8og5yKOG13S9EDqdnte/TMPRzpJbFgX9KnQwoUiEUu2ET0gMkVMX4OjuAwIBlUXZFKafJOP4Plrrz+IfKMdWraAwt4vMlGpUdhbYOVxsnCU2NigjI2hISKD52AlUkyYNU96EIeMd5hDI4bKTZNTnMdMzDpGRD7LYWoW2s5nO9ANYBsYjshhumAf6e6kqyUNbn46k/jhVmQepKs7FzMIKlfsEFl5/N3Hzr8HNNwhLa9O0wfbWHr778gynj5fj7m3L6jtj8fKzM7270mjIXfs8fbV1BD77NIpRksTa+zp56eh7qC1UPDblrvO/3dhz23psE72lGTgsfxyJ3HQ+QHphE1sPl3DLVcH4jcJpHytkZhY4uvsSNHE6QROnI1fa093ZRk1JNvmpx8hJPoRM0kVolANdXZCSWENNZTse3rbDcgZsgoMw6PXU7djJYEeHUUNvYybHSmrJnuLDmInNTB7Um7n4o0k/wEBDOVahM0Ycr6ykkO6mCsRNqYhqjlCckXieMj1k2G8hJHYmahdPJFLjFGKDwUBeRh0bP06hoVbDrCsnsOS6MCytTEccWpJPU/ja37D28yXouTWIR5F9+MOwawAWL1583pP/b6K+poOd32RRW9VBYJgjV14TipWRU+8LUf3tViq/3oj9zOn4PmBc5e8cTlamkVB6gqUB8wl3NO3NGQwGWg58ikEkQTXzhlHncjS9hrqWbp5eHPsfSeMXiSV4BoTjGRCOXq+noeosZfkZVBblkHxgKwB2ZjL0OPDDF3mc8fFn4crpKJQ/eeyWXp4Er3+OnGfXkfPsc4S+9Dwy++EMFKW5DQ9MuoWXj/2dLzK+446Y643OSzVrNd0FSbQc+BTHVWvo7+2mvvIsdRUl1JYX0lBZil6vQySWYKl0Jb9FzqP3Lsfby420tDTsnEYPWej1BlISyzm0uwCBABYuDyE6fvTCJIMaDbnPPU9PVRWBa55CEWY6q1dv0PP3U5/RM9jLszMeRGoiNR9goKWWjuSdWIXNHrXWqcFgYNOBQuwU5syOGW+YZmywslERNnkuYZPnkpyUiNJCTHlBBhWFWRSmnwTARaWmoVTOR69lED83jsmzwi4KYbjfsAqDVkvN1m0gEBjdGc/3nU5OYyEbs7YRaO+Ln+3IhXBEFnKU01fRsv9jegpPY+E/kfaWBuorz1JTVkhNaQGatmYALG1UNAvdsXT04/F7rxmRaWYMnR297NmaQ2FOA87uCpauDMfecXRKZuvpFApf+xuW3t5DBt5ifMVafgv8oTNeB/q1HN1fxKljZZhbSFhxUxRB4WP7QlZ/u5WKL7/Gbvo0/B58YFSKU2NXMx+mfoWfrRcrQ5eMOn5PcSq9pRn0Bcw1us08B53ewJaEIjyd5EwKNk2v/DUgFApx8vDDycOPyVdcS3dnO1UleWSmnKCvvQnDQCWtFZl8+dp3WCud8fTzw9bJFVtHVxRqB4LWPUveuufJfnotIS+ux8xh+FlMhFMwiyfMZUdhAkFqfyb/rGiKTqels7WZ9uZ6ah0iqM9Lp/uvj9DZ2QEMccHtnT2ImLYAN99gnDx8ae/WcefLB9h7ppX7vMZm6OprO9n9bTbVFW34BtizaEXYyHHln2GwU0Pu2vX0VFcT+PRfUEYaDyedw7b8fWQ15HNXzOpRk36GnIBPEEikqGatHnXsnLMt5Je3cs+yUCTi/3wZCLHUDP/waPzDJ53XeKoqyaW6JI/BihK0gyWkJ5wi45AFju6euHr7onJwQWnviPOqIY5/zdZtACMaeoFAwD0T/8QTrRW8nfQxr81/epiiaX9fDx0tjbQIrKgQ2ZOy6V90Cr44r/9kZmGFs9cEbN0DmTL7ShT2jmxJKOKrvQVUNPTg4zq6kdfrDaSdrODg7gL0Oj1zFgUQP8N0dvg5tKakUvDqG1h6ehC87lnElqaZPf3aATbn7MB1cHQJil8Tf0gjbzAYKMxpYN8PuXS09RIV586cRQGYW4x+Uw0GA9VbvqVyw6ahJIWH/zyqgdfqtLyd9DFCBDwUf/uoNSz1g/20HPgEiZ0r/UYqQl2IxMwaapq6ePKmiZccZ/0lsJQrCIiaTLdBRnR09BC3PDePlKOptLXU0tWeCIafipNIpDIsI5zQ1zZS8tencJo8BXOVLWKJFIlEhkAowKA3EKqXU9UlZ+f3H9HhkoZgQEt3ZztdnW10d7Sh1+vOj2khliIf0BAwZwnO3oE4uHqd5yefg50C5kx050ByJStH0fPp7xvkyN4iTp8ow9xSytU3RBAaNTzlfCQMdnb+aOBrhgx8VOSoffKbitmcs4PJ7jHM8TZNgQToKUmj92w6qrm3IB6B+fNzbDpQiNJaxtxJo9fY/bUhFApRu3iidvEkesYi9DodTXWVpB1PpSg7j+qyaurK87lQgdPC2gZJlAul2cfIefks9lHRyMwtEUukCIRChEIhBoOBpZJg9hcd4d9fvESwwpu+bg3dmg46W5vo7+0+P55IJMLSMIibiwvusStxcPNBZe+EQCgkLS3tx8NiuGqqN98fKWFzQhFP3zKyTv851FS2sef7XGor2/H2t2Ph8lBUY6BgArQkJVP4xptYeHgQvH7tiKHLn+PjtE0cLT/FzW7jV6D8JfjDGXlN+yBffZhMWXEz9o7W3Hx/PB7eY/synmfRfLv1ojTj0fBF5neUtJbz2JS7UVuOfq2OpB/QtjfitHodjS2mKzfp9QY2JxTh5mBNfKjxbMjfEtYKWyKnTCNi8lSy0mpI2JFHb3c7/gEyvLxl9PW00dnaiEYsobOuhta04+iN2E45YA0UNSejsrHDykaFk4cv1gpbFHaOKOwcUaqdMDSUUvf1OpRmOpTexpkrK2b7kXC6km8PFRPjPvzver2BzJQqDu8ppKurn5h4D2ZdOWFMDgDAQFsbuc89T29t3ZgNfGd/F+8kfYKDpR13xdww6odErx2g5cCnSOxcsYm5ctTxc0tbyCpp5vYlwchGERL7LSAUiXBw9WLh9V7MXDLAwV35pCeXYW01QEi4NTbyATQdLXR3tNGq11PXXk/1sb0YjMgwewJ6QS3F5m0obeyxsJLj4OqFXGWPXGWPrYMLNio1TT+8TU9xKq6+9xstsmNpLmHJdB827i+krLYDL+fhu+guTT+HdhWQkVKFlbVsXA4AQNPxRIrefBtrPz+CnntmVA8e4HDpSY6UJ7EieCEO/Zc9eaMoP9vC8T3NyMwkXLEsmBgjSU0jwWAwUPbxZ9Tt2InDgnn43HPXqDF4gKSqNPYWH2GR/xxiXUffsg+2N9Ce9D2WQVOGKiG1pJkeP6eOynoNj62O/q948aYgEAgIj3FlQrADxw4Uk3y8jNJSA/Ezo5m30hupTEx3WTk5a9eDUMCEZ55E6uSA4ce+AkAslZHRmM/riR8y3zeCG6ONxOc9Q8+LU1mFTEeiGJmO62hryewYN/adqsDf7qcX/XwB7R15NNZpcPFQsPK2ibi4jz1Ltq+hkdy16xlobydozVMoIkzz9+GcON0ndPZ38eKcx7Ewwec+h46kH9C21eN4w9pR65oCbNpfiMJKxhXxnmP5Gb8pLCylLL4unIhYd/b/kEtSYjuOLkrmXjUZL7+hg+RzO2fF5El43XMXApEQvV4PAgFiiQShSMybSR+R1JDP87NvMRqft517Cz0lZ2jZ/ymO1z1pdE5Lpnmz7ehZtiQU8ZebftKm7+8bJOlIKaeOlaLV6pk8y4dpc/2QmY3dDDYcPETJ3z9AHhhA4JqnR5VchiHK9cdnNhGinsCKoEWk/5EEyi4Fv4RdIxQKaO9s5k93TsPT184kZ/VC6LVaSt57n4Z9+3G6auFQjHAMBr5W08Crx97HW+nOg/G3jVq8GqBp+9/RdjT9WHTZwuRJul5v4I2v0rA0F3Pv8nCE/0XddDB+6i+WiPCZYE9whDMdbb2knhwqOygQgGuQO/bxsTQfPU5TwkFsIyOxdnFFIpUhkcoQicS4yB3p1fazp/gwDlb2eBhhJZm5+tOZto/Bllqsgo1z7D2c5Gw/XopOZ2BatBelRc38sCmTEwdLkEjFXHVtKPOXBI253B1AT3UNOWueQ9vTQ/C6Z0dV4DyHb3J3crgsiTui/1975x1WZf3+8ddZ7L33UBQU3DhQ3LlXrtRS66uWfhuaDdN+mWa5stK0/LZMK0da7tw5EcSBgiAgoILI3psD55zn9wdpDoRzSAXseV0X1yVwPs95yznPfT7jvt/3eDo4P7wo7vbftjIvncxdqzD27oxl15G1Xj/6Rg4bD8Yyob8PrbyenOWyrhkg5haGtOvsio2tCXHRmZw/nUhiQg4WVka49+iIzMiQ9D37UN68hX337ugbm6Cnb4BcrkAmk9HW0ZfgmxcISQ6jp0dn9Ks5tJbqGyGRyigMO4C+kxcKK6dqteopZJQpVRwKTaJbaycM5DLOBd3g95/DuHY1C28/B8a+2AG/ds7IdTjfuLVjFze++wGLNq1p8cG8WrNooKpZ++KTaxCA+T1nYqhn2HhSKOvKPwny+gYKyitzcHfXPrtAXV7O1WWfkhMSitvz43Gf9IJWy7LyynIWn/yKCnUF83vPqtFU6TalCWHkndqKVa8JGHm1B2q+WUKj0tl7+jpTh/vVyZflUVPbm8/IWA/ftk409bElM62Ii6E3CTuTBIbGtBg9gMILF0jfdwDjJp4PODL62nkTnRXPn9eC6ODUCotqimDuvon1HJrccWG8HxMjPTKyS4i5kkNGdBZnjl8DQaDPYB+Gj2+NvZO5ThlKhTGxXFmwqMps7OOFmDbTzu/7YmoU313YTE+PLozzG1Zrq0JHR0cyd69GVZR9ZxJQG6u3hVOmVPH28x10Ckj/lLoEotttB/0D3DE21SfuSgbng5O4HpeFTRtfHH3cSPtjP/nhEVh16nRPLrmeTA8fm6YciD9BYl7yQ/Pn9Z2aUhJzhtKEi5i264dEWr2ro4ejGYdP3yAjLpvzRxKIi87AzdOK0ZPa07lHk4daNVSHoNGQuOFnbm39DZvAbnjPefuhhU73jBMEvgz9kas515gT+N87h/FPOsg/uXdNPVCRn0/U/IXkXYqg6WszcB03VqubXxAE1p77heTCVGYGTMHGqOYiJqg6bM0++AMKa2fMO1XvO3/P4zUCmw/F4mRjXK3DYkPGxd2Syf8NYMrMbrh5WnHqcDxr117iWocXKHZtRfTiZaTt23/PGLlUxuyAqRgrjPgs+DtKKkqrvbZ5p6EobFzIOfwjmkrlA7/Pyynl5KE4VFez8RSkZGeXMGRMK15/vzcdAz2Qy3Xbs84OPkPU/IXITYxptXwxxp4eWo3LLM5mzdn1uFu41GpOd5vSuHOUXbuIZY9xyM1q35eNuZFLeFwWo3p5YaBFX9aGglwho1OgJ2+834eBI30pLlLy+88X2XZOSvHwV8m+lUvke+9TlpZ2z7imVu681G4s4enRbIvaW+21JTIF1gOmospLJz9k5wO/12gEEmIzObw9ihYqqMwoxt7VnCkzuzFxehecXHWbTKmVSuJWfknqrj04DhlE87fffKgR2/3sijnEuVvhTGozCj9779oHPCYazztHR4qvXydm8XJUhYX4vPcO1l06az12d+xhQm9dZGKbkbXmw98mL2gbqoJMHCctqtGA7DZnItNITCvk7efbI9PyXKGh4eJuybgpHcnOKCYsNInLF24RhZsOmwAAIABJREFUK2mNQdMWXN0ZjXdcDp1fHYdCv2rWZGFozuyuL/PR8S9YE7qeOYH/vcdEDf7qEDToFdJ++ZD84O1Y9pxAdkYxCbGZXAlPJTW5KsXSy8eW2Pw8IrIqedXXXufgLggCqbv2kPjTL5h6N6fF/81FYVZ7KzyoWuWtOP0NgiDwdrdXqt1aeABVBTmHN6CwdcPcv/aiQYAth2MxM9ZjcNfq96gbOreDvX9XD+KjMzgbdIOzUTngPALzihwSFvxIx4mD8Oz+d7Pvfk27cz3vJjuiD+Ju4UKA64PZaUaebTDx7U5+yA5MWnZDrRaIj8kg7komcVfSKSpUYmSsR7su7my9kIS+gQwXd92Lxyry8ohZspziuHjcJ72A8+iRWq8Qw9Ou8GvkHrq6+TOkefVdwJ4UT2WQzw45Q/yqNchNTGi1bHGNNrn3E552hS2Xd9PVzZ9h3v20GlORmUTB2b2YtO6DoVvte7lqjcCmQ7G42JnQvV3jmsVXh429CQNG+NJ3sA+xUelER6QSHyUn5ZaEE+8fxMnVAtemNjg4m2NhZcUL3mP4OWYbmy7vZNJf/WEFQaBCqaKoQEl2gTWJ5iNIP5RL9tFDlJZW9Tx1dDHnmaEtaNnGEQsrI46cOEvEvgy2HY1j+sjaG9bcRl1eTsJXa8kOCsa6WwDNZr2h1fIbqgqe1pzdwM3CVN7v8ToOJg/3O78bw4QgVIXZOE76WKvD1ivXc7gUl8VLQ1o2qll8dUilErz9HPD2cyA/t5Qr4alcPpfE1Sxrru5OxfBAKp4tHbF3NMPOwZRnXYeSkp3B2tCfcTSxv9MfVtAIFBcpKcgvI8duMHEX1RxZHURWuSkadToKvaqzI792Tnj7OiCTSykwkbP1SNxDM20exp1JYlERPnPfxTqg5t4Hd5NelMmXoT/iZu7EjI4T67VHMTxlQV5TWUnSL5tI3b0XU29vfOa9i56l9p/gyQWprDqzTqcXRxA0ZO3/FqmBMdZ9a25vdpvgiBSSM4qYM9EfWQPLqPknyBUy/No549fOmcpKNRe3HiHmRASFKkfOpRSh1vydQufHYK6FaViybR9yqRxleSX3+qFaYSzTx8kolRZD+uDZ3O4B/3srUznPdHTj4JkkRvbyws6y9j3ustRUYpetoDT5ls6zM4BtUXs5nxLBS+3Gar3KU6YmoJ94DtN2/TF0q32MIAj8ciAGS1N9hgQ2zln8w7CwMqJbHy+69fEiJzWHs9/8RnK6ksRIFdHhf4cjBd540ZwNF85jII9E0IBKpUG46z0kk3ljJcnA00FG58G98Ghq/UCPiGd7NOWPoOtsPhTL//2n9tW8IAikHzjEjR83oDAzo9WyTzBpov0ksUhZzNJTXyNFwjuB0zGowVH0SfHUBPmy1FSufraKkmvXcBg0EM8pLyKtwafifvLKClh66mv0ZAre6/6q1i9O0cUjKFOuYjvsDWRGtZdBqzUCmw9dxd3BlG5aVuc2RhQKGZ0nDsS3SzNiP/2M8uQ8LEdPQNGmE/l55RQXKzl94zyZxYV0dG6Dk5UtBoZyjEz0sbEzxsbOhIr4ELL2rMZa5oC5lUe1zzOuX3OOXUjm18NXmTnu4TntgiCQ+edRbqzbgEQux3fBB1qlSN5NUOI5dkQfpG+TQAY1663VGEGtImvf/xD0jbHuM1GrMZfisrhyPYfpI1thUE3HoacFaydrBi18pco/6teNyBycsXphKuWGVpSWVJCSnUXwtTA0BkYEuHfAQE8PU3MDzC0NMLcwxMrWiMzNCylNT8TTdQCyamoITIz0eLaXF5sOxpKQnI9XDXvyquISEr5aS86ZUCw7tKPZrDdQmGs/+69UV/JZ8HdklebyYa9Z2Gu5ynvcNM7N4LsQ1GrS9u0nfPa7KDMy8Jk3h6YzXtYpwJdXlrMs6GuKKkqY2/01bIxrP2gFqMzPJOfYzxh6tMKkVU+txpwISyYlq5gJA3waXF7848DEqyltv1iBtX9b8rf9TPnPa/DzVNBnkA9vTRsFflkcNdpFs65mBPRqSht/F5zdLNE3UGDi1wPDJm3JPb6JyoLMaq9vZ2nEoK4eHL2QTGpWcbWPqcjNI+aTpSR89b8qPStX6BzgL6fHsPb8z/jaNWdq+3Faz/4Lzu6hIjOR0pYDarRTvs3tWbytpSEDujz56tYnjUQqxW38c/gt/gi5qpysLz7GIiGETl1dGT26M8+/0I2rDue4bBVEjwFe+Hd1p1kLe+wczZDL5dgMmo5EpST70A8PfY7h3ZtgaqRg48GYhz4mJ/Qsl2a+Se6587i/OIkWH7yvU4AXBIFvzm8kJiueVztNxsdWuwytJ0GjDvLFCdeIeHce179bh5mPN21Xfa7TASuASqNm1Zl1JObfYnbAVJpYVVNGWQ2CIJC9by0ANkNe1eqmr6hUs/FgLM1cLejaQKpbnwRyExN85r1Hs9kzKUtJIfzNd0je9juGgpx5PV5DLpXxycnVZJXk3DNOIpFgM3g6ANn7v+Nh/W3G9m2GQi5l86Gr9/xcU1lJ6p4/uPj6LAouR+I5bQq+ixZUa6pWEwk5iawI/hYXM0fe7TajxtZ1d1ORk0reqW0Y+3ShUsvsitCodBKS8xnfzxuFjofJjRlzX1/arvoCm8BuJG/ZSvist8i7FI6/cxumtBtHWGok6y9ue+A9oGfrSrlXd0piQiiODq722kYGCsb0aU5YbCaRCdn3/E6Zk0PM0k+JXfopclNTWi1bjMuoZ7Wqo7mNIAhsuryLoKRzPOc3jED3jrUPeoI0yiBflpJK3Ko1RLw7l4rcHJq/8xYtF85H31a3YhG1Rs3q0B+5mBbFtPYTaO9Us8vg3RRdPExZYiTWfSY/tDrzfvYF3yA7v4wXH5GVcGNCIpFg16sn7b5ahZV/B25u2sLFGa8jhETwfuCrKFVKPjm5moLywnvGKcztsOr9PGXXL1EUcbTaa1uaGjAssAmnwm9xI7Wgyvzr7DkuzZzNjXXrMW3mRZuVn+E0bIhONy9UFcQtDfoaM30T3u/xOkZ62hVYCRo1WXtWI1HoY91/mlZj1BqBTQdjcLIxpu9jcppsyMhNjPF++01azH8fQaMheuHHxCxZRjeZGyN8+nP42il+jdzzQKAv9wxA37Ep2Qe/R1WcX+21hwZ6YmNuwIZ9VxAEgcqCAm6s/4mLM14n/+Il3CdPpM3nn2LavOZG9NWxI/oAe2IP069pd0a3rN2m4knTqDb8VMUlVOzczcUrMUjlcpyGD8V17BitzIHuR6PR8PW5nwlNvsjktqPp59Vd67F3b9OY1uITf5viskp+OxpHe2872jRrGHt19YGepSU+c9+l4Eo0ST9t5NrX/8PA0YGZ3f35qiyMJSe/4oNeMzHV/9vi2Mx/ECVx58k5vB5Dd79qG6GP6u3FkeAEjqzdgn9eDGW3bmHo7ESL+e9j2aF9nT5U04oyWXR8FQAf9JyJpaH2y/f84O0oU+OxG/kWclPtDv+PX7hJUvpfB/KNNK32UWDl3wGLNq1J3b2X5N+2k3v2PG3bt0Xw9WFn9AFkUinP+d1lcS6VYjvsDW6te4fsg99hP/rdB15vPYWMFwb68MsvJwlZ8T+kYcFoKiqw7dkDt/FjMXCom/vrvqtH2Rq1lx4enZnaYXyDnLw1qiCfdyUaVfw1XEcMw+nZEehZaH/T3Y1Go+HbC5s4nXSO8a2GM9T7Ga3HCho1WXvXAGAzVLttGoAdx+MpKq3kxSHaZWQ87Zj7tqTV8sXknj1Hyq49FG37gykKOXHO+ay7Op+JY2dj41i1dSaRSLEb9jq3vptN5u7VOE3+GMlfTqCq0jLyL4WTe/4C0xPOIlWWUe7kSrNZb2DTI/CBJsracqswjUXHV6ERNHzYaxaOptq3tixPTSAv6DdM/HrU2pT7zhilil8OxOLtZklg26f3QF5bpAoFLmNG4TCwP2kHDpG2dx+eFwv4r7khkZe2srtXNsP6Tbrz+urZumLVcwK5x36hOOoUpn+dkQmCQFnyLQqirmB78hSv3LyK5qYE68CuuE14DiOXuqcw7487xk/hv9PFpT3/7ThJK9uT+qBRBfkYPUdWuDzHZ7271znAV6gqWH12PeduhTPGdzCjdFxe5Z/eTvnNaGyHvY7CXLsbP6egjN2nrtOznQtNamlF+G9CIpFg3aUz1l06U5KYSPrBw0iCghASb3L16GxuODti7OSMgYM9elZWaIzakX0+mKLUBQgSM5QJCZzLy0dQq5GbmmDb2Z9fMi0ptHFlVa+edT7YvpmfwqITq5BIpCzs/RYu5tqfn2gqlWTt+RKZiSXWA7TbpgHYdeoauYXlzJnk3yBng/WF3MQE17GjcRo+lJzgM2QHhyC/eBFp7B8E/7AfUw9PKk1NSYqORaqvh7Lcnuvffo1hkwuoissoir+GqrBqC9DQxQXJwGf5OlbBi4Fd8KljgBcEga1Re9kRfYBOzm2Z2eU/D+1+1hBoVEHev4U9JgZSvt8dxYo3uut8MxRXlPBp0P+4mn2dl9qNZXDzPjqNL0u6Qt7p3zBp1RPT1tql0AH8vD8GjUZg4qCamz//mzH28KDpjFdo8so0oi8FceiPn3DKLsIzLYWCyCg05eV3Hlt8KwZ9exsk1tY49e6FRbu2mPl4I5HJGBiewqe/XOD4hZs800n37JTwtCusPPMDBnJ9FvR6Eycz3ZbxOYfWUZmTiuPzC5BpkU0DkFdYzvZj8QS0csRXS9vsfxsyfX3s+vTCrk8vKoqK2LXjf6THROJVmo95XBoplyMR1H/3JyjNPIuhkytW/u0x822JmW/LO1syu746zeaDsfRo64yxoXYWBbfRaDT8ELaFP6+fpm+TQF7uMOGBqu2GRqMK8kYGCvq2NWd3aB4nL96ilw7d6lMK0/k8+DvSi7OYFTD1gU5FtaEuLSRz9yoUlvbYDHhZ63HJ2UqOXchiTJ9mOFjrfnbwb0MileLboSeGnp4sP72WfRVlzOg4my52viCVoqkoI/WneaBRkeM/CPeuPe4ZH9jGid0nLfnlQCyBbZy1rhYVBIH9ccf4OWI7bubOzAmcga0WvQPupjD8KEURR7HoNhpDT+0rcDcfvkqlSsNLQ8WtPG3QMzVl7OR32Xv1TzZE7MDFoCkLB7yNicwAdXk5ylvRZO74FLOOLbHpP/WB8a8824q3vjzJr0euMnV4zT1776awvIg1Z9cTkR7DqJYDGec3XKeJpqBRU3T5BJKKJ1sg1bA/gqqhjacRXq4WbNgXTblSpdWYEzfOMPfwUgqURbzf43WdA7ygUZO5ZzXqkkLsnn0Lqb52GRYajcCBC/lYmRnwXC2djETupYmVG8v7zcPDwoUvQ9exNf4QgkKOwtQChzFz0JQVYxyxC+Gu7lJQtQU0ZbgvuYXl/H4sXqvnKq0o4+tzP/FT+O90dGrDx33e1jnAK9NvkHPoBww9WmHZY5zW426kFnA4NJHB3TxxsjGpfYAIUPU6D/fpx5sB00hTZvPOoU+IzIlHYWqKSYvOmHUcQuH5/ZTEhj4w1svVgn6d3NkbdJ3kjCKtni82K4E5h5cQnRnPdP8XGN9qhM47CbnHN5K9by2y4iydxv1TGl2Ql0okvDzCj5yCcn4/XvNNXKgs5qvQDaw99zNe1h6sGPB/dXKDyz32C2XXLmHTfwr6jtqXOB+7cJPU3EpeGtoSw0buP1IfWBia82HvN+nbJJBdMYeYd3gp13KT0HfwxGbgyyhyk8g7ueWBcS09renV3oXtxxNIeUiB1G3C06J5++DHBCWdY4zvEN7q9jIGCoMax9yPuryEjO0rkBqaYPfs7DuHwrWh0Qis/T0CU2M9nu9ffy6FjZmubh140WUEpnrGLD65hg2XfqNCXYl1n0noOzUjc89qlOk3Hhg3aVALDPRk/LAn6qH1F/BXX9bIvSw8vhKFTMHiZ+bQt+nDex08jKLIExSE7sGsw0BUWtbiPCoaXZCHqpu4Rztndh5PID2n5IHfq9Qq/rj6JzP3fcjpm+cZ6zuE+T1nYWWou2d7YfifFJzdi5n/IMw6DNB6XElZJT/tj8HFRq/RWQk3JBQyBdM7vsA73aZTWFHM+38u56dLvyP4dELp0pb8kJ0URwU9MG7KMF/0FFK+2X652ps4oziLr85uYMmpNRgqDFjcdw7P+Q3VOUNCUFeSsX0FqsJs7Ee9XWvT9rv58/xNYpPymDLMFxMt2xOKPIitvhVL+81loFcv9scdY9b+BZxMvoDt6HeRGpiQvm0pqqK8e8ZYmOozvr8PF2MzOR+T8cA1BUHg7K1LvHXgI7ZH76erm3/VytJS9/qF8pR4svd9g4G7L9b9/lPn/2ddabTTyynDfDkfncHXv0WwaHoAEomEwvIigpLOcTDhJBnFWbR1aMnktmN0yo64m7Kb0WQf+B5DzzY6vzgbD8RQUKxkbFc7MVviEdDJpS1+dt5svLyTfXFHOXLtFK3svBgs8yFz71dIjcwwavK3VYGlmQGTBrXg252RnI5IpXvbqoYNtwrS2BV7iNNJ55FJpDzbYgBjfIegp4U99P0IgoasvV9TnhiJ7fA3MHDR/mC9oFjJhj+u4NvEmt46nC2JVI+eXI8pHcbR2bUdG8N3sPbcz/xh7sygnsNxPryFjN+X4zjxI6SKv/fDhwZ6cvhsIt/ujKR1UxsM9OVUqCoISQ7jcMIpEnITcTN3ZmHv2bS0q9t2q6ogi4zfP0VmYon9qHe0ciB91DTaIG9tbsgLg7348cgZVh9Np9Iwi7DUSNQaNV5WHkztMY62jtq1cKsOZdp1Mn5bhsLCDruRb2m9BIcqm9h9ITcYGtgEZ+uaG3mLaI+RniGv+D/P4Ga92RN7hFOJZ7moEHB1t6bZn18S0OMlXNxaY6Zvglwmp29nFw6ERfPtkWNcUxsSkXGFlKJ09GQKBjfrzTCffjoVON1P7rGNFF8Jwqr3C5i26qXT2J/3x1BSruK/o1qLk4BHiK9dcxb3m0No8kW2Ru7l29h96HlY0bIgg5Y7Psa3z0u4WrhgoDBAKoXpo3yZv+FPlv6xHXtXJedTIiipKMXZ1IFpHSbQt0m3OqdHqorySN20EKGyHIfxHyMz0q5fwaOmUQX5qIxYPkv4EXXC32ZE+i0hOAfM9M0Y6NWL3p4Bd9ps1RVl+g3SNn+EVN8Ih+fnIzPU/kCsolLNmm3h2FoaMWlQC6KjIv6RFpEHcTF35NXOk2mBB9nGhVxKucwx6U2ORmyBiKo9en25PkqVEv7KgDyQIMXPvjn9vXrQ1a0D5tW0H9SF/JAdFITuxqzDQMwDau/VejeRCdkcPltlj+zuWD83/tOMVCKlq5s/Aa4duJp9naCkswTfCCVckwPHPgdAJpGiFjQAGLSCGBUkJRvR1qkl/Zp2p6Vts3/04asuKSBt80LUxfk4Pv8h+vYej+K/VicaVZB3MbYl0LApNp7NkEhALpVjLFjxzeabNG/hwYvt/rkxkDIjkbTNHyHRM8Bx4kdaFzzdZsvhq6RkFbPolQDxsPUxYyY3prdfD8b6DSUvLZ7QXcspkIKkTS/K9PUx0TPGxsiSs5fyOR1awpApPWjfXLfX834EQSD3+EYKzuzCuGU3rPtP0SkYlJRVsvLXizjZGIuHrY8ZiUSCj21TfGybMrX9eBJCt3P13A7ynDyQN++IQq6HQqbAWG7Cxu0ZGErNeG1E739sDKcuLSRty8eo8jNxGP9/GLjU7+vcqKKQ4lYCgyKDMZUbYzNgyp02e7k9Ldh8KJZurVL/kUd76fUIMnd+gUShh9PEj1BY2Os0PiE5nx0nEujXyY123v8smIjohqVjM54Z9zFpWxahDjqA/Zg5GHlW7dF3dVGTlHCSL7de4qt3e2Nax0NOQaMm+8B3FIX/iWn7/tgMmKbTNh7A97sjyckvY/kb3Rt9x6fGhFQqpXnXsdgrjMk5vA5DtRF2z86+s0q3ejaDhd+HsuXwVSYPrnu9QkVWMunblqAuysN+zBwM3bXPw39cNKrsGiPvjpQ16UrRpcOkbf4YdWlVufLYvs3wdrNkzbZL1Wbb1IYgCOSf3UP6r58gM7XCafIn1Zpg1URpeSUrNl7AwkSfKcPqfhYgUncUVo44TV6CwsKe9F+XUBh2EEEQ0FPIeOv59hQUK/lm++U6XVtdUkD6tqUUhf+JRddR2Ax8RecAfyYyjaPnkxnTtzk+7tr1LBB5tJh3HIzNkP9SlhhFyvr3qMhMAqCDjz19O7qy/Vg8lxPqlsdeeu0SKT+9j1BZgeOkRRh5tX+U0utMowryEomU8ua9sB0xC2VKHCk/vkfptUvIZVLemVhV4PTZxjBUao3W11SXFJC5exW5f/6EsXcnnF9aovMMXhAE1mwLJz23lDmT/MV0uHpEbmqJ46SPMfTwI/vg92RsW4qqOA8vFwsm9PfmVHgKJ8KSdbpm6bVL3Pp+NuWJUdgMfBmr3i/ovF9bVKbm69/DaeJszvh+4jZNfWLW9hmcJi1CqFSSsmEeRRHHEAQN00e2xsnWhBUbw8grLK/9Qn+hqSgn59gvpG9dgsLcDucpyzFwbjjFj3UO8jt37iQwMJARI0YwYsQIVq5c+Sh11YipX4+/GiLLSP/1EzK2r8BGUcbrz7Xl6s08Nh54eAeY2whqFQXn/iD5f69TEnMGy54TsBv1DlIt/cLvZn9IIqcjUpk40Ef0HmkAyAyMcRj/Adb9p1KWGMmt79+i8OJhRvfwoIWHFWt+i+B6SkGt16nMSydz79ek//oJUiNznKd8ilmHgTrrqahU8+upHJQVat5+vj0KeaOaWz2VGLh44zxlBfoOTcj642tSN7yPJPs6cyd3pLRcxWebwu7pSfwwSuIvcOu7Nyk4swvT1r1wevET5Ga69bV43NR5UzAqKoq5c+cydOjQR6lHawycm+Hy8kryQ3eTH7yd0oSLNPfpwgut3dh8PI5mbpZ0a/3g/nxlfgbFV05TfPk4lblpGDZpi3W//6BnU7eCpYTkfH7YHYV/C3tG99a94YDI40EikWDecTCGHq3I2reW7APfIgvaxuy2g1icJ+WT9WdZ+WZPzE3u9RERNGqUadcpDDtAcVQQEqkM8y7Dsew5Aalc9xWaIAis3R5BSk4F817siJuDmE3TUKha9S2i+PIJco9vInXDPIyad+Sdbi1YcSKdLYdimTioxQPj1OUllFwJojD8GBXp11DYuFStHrVo0l4f1DnIR0ZGkpiYyLfffou3tzfz58/HXIeeiI8CiVyBZeAYTPx6kB+yg+LoYDopT9HS2phbO48TF+OFrYsLmvIiVIU5VOamUZF+HQAD1xZY9ZmMUfOOdU6VSs8pYdG6UCxM9XlzfLt/Rc/WxoaerStOLy6hPDGS/JAdlJ3ezFsyyFKbErI2CP8O3kglAggaKrNTKEuOQVCWIlHoY95pCOadR2jd9KM69gRd5+j5ZHr6mdK1mkmHSP0ikUgxbdMHY58A8s/spCj8KPYl51lmrSAu1JbwdFfcPF2RSGVU5qVVxZDMJARVBXp2HlgPeBmzdn3vJIE0RCRCTcYNNfDaa68xZcoU2rdvzxdffEFqaiqff/55reOUSiVRUVF1ecraUVeiyIxHmhZLfkYWFhRhJKlAkMrQGJihMTBDZe1JhWNLNEa6WxzcTVGZmh+PZFJeITClny225g33RRb5G1lhBvKcREpTEtEvTMFYWlH1IS+R/PX+cKfSyh2VtQeCntE/eq6Y5DK2nc7B29mA57pbIxWLnho+ggZ57k3kqTEUpd5EX12KmbQcCQIaAzPUxlaoTeyocPJDbV63blL/FD8/P/T1tXeyrHUmf+DAAZYuXXrPz5o0acKGDRvufD9t2jT69eunvUp0F3qbsLAwOnSoyUWyC1A1y353TRBGcjWLpvfC3urR2fwWl1Xy/trTlFXAJzO64V1DpkTtehsOjUkr/HO9W49cZePBWHp1cOHNce0eacu90xEp/BYcRnM3Sz56JYCYK5f/VX/bJ8mj11pVb1OmVPHBN8EkpeazYGonWjWvmz3K/dRVb10nyLW+qwcNGsSpU6fu+VqzZs09QV4QBGSyhtUZxcHamAXTupBfBnPWBHHtVvUNfnUlO7+MD74JJjmjiHkvdaoxwIs0bMb182bSoBacCLvFF5svotYhK6smTl68xYqNYXi7WbLolQCMDMRVXmPEUF/Oh1O7YGtlwqL1YZyNSqtvSXWiTlMXIyMjfvjhByIiqkr2N27cqPNM/kng5WLB8te7I5VKmbf2NBeqcZvThatJuby16iSpWSX83386014seGr0PPdMc/4ztCWnwlNY9ONZ8ouUdb6WRiPw+7F4vtgcRktPKz4SA3yjx9xEn09mdMXF3pTFG86x/Vh8jdbEDZE6BXmZTMaqVatYuHAhgwYN4sqVK7z77ruPWtsjwcPRjM9mdsfRxoSPfzzLxgMxlFdo12zkNmqNwMEzicxbG4yeQsaKmd3xb6FbLr1Iw2VU72a8NqYNkQnZvPH5ccJidZ8MZOeXMf/bEH7aF01AKycWTOsi2lo8JVibG7L01W50a+3Ehn3RfLHlIgXFuk0GBEHgbFQa768NJi3vyZoW1vld6O/vz86dOx+llseGtbkhy14LZO32CLb+GcfxsGSmjfCji59jrZk14XGZ/Lj3CjdSC2ntZcOcSf4PpN2JNH4GBnjg42HFio0XWPh9KP06uTGylxeu9qY1jispq+TIuSS2HolDpdYw87m2PNPJTXSWfMow0JMzZ5I/bg5x/Ho4lvNX0nnuGW+Gdfes1esmNauY73ZFEhabiau9Kcb6T7YD2L9mqmGoL+ft5zswoLM73+6MZMmG8zjbGtPFz5HOvo442Rojl0mRSSUkphVyKS6Li7EZxCblYWdlxJyJ/gS2dRJv3qcYD0czvnizJ7/sj2F/yA2OnLtJe287endwwcXeFCcbY/QUMjJyS0nNKuZibCZ/nr9JeYUav6bWvDG2LU4Fj7ASAAAHkklEQVS2Ygu/pxWJRMKE/t50be3I+r1XWP/HFfYGXaOTrwPtvO3wbWKNTCpBrREoKqngQkwGZ6+kE3U9B32FjKnD/Rga6ElE+KUnqvtfE+Rv49fUhlWze3L0QjKnw1PYdfIa248nPPA4iQSaOpszdbgvg7t6oqdoWAfLIo8HfYWMaSP8GNu3GQfPJLI/5Aafb86883upBG4XQsplUnq0c2ZYYBO8XP9ZSq5I48HdwYyFLwdw6Wome09f59iFZPaHJFb7WDcHU0b39mJYYBMszXRrK/mo+NcFeQCZTEr/zu707+xOcVkl4XGZ5BUqUWs0VKo0OFgb06aZLWbGogfNvxVzE33G9fNmdJ9mpGQWk5JV9aWsUONoY4yTjQmuDqaYGIoHq/9W2nnb0c7bjkqVhqtJucTdrMrgk8sk6OvJaOVl0yCas/8rg/zdmBgqCGzzz5qMiDy9yGVS3B3NxOYeIg9FIZfi19QGv6YNy7PmNqJTkoiIiMhTzBOfyd/OMa2oqHsakVJZ91zm+qAx6W1MWqFx6W1MWqFx6W1MWqFuem/HTF3z9OvsXVNXioqKiIuLe5JPKSIiIvLU0Lx5c0xNa07tvZsnHuQ1Gg0lJSUoFAoxHVFERERESwRBoLKyEmNjY6RS7Xfan3iQFxERERF5cogHryIiIiJPMWKQFxEREXmKEYO8iIiIyFOMGORFREREnmLEIC8iIiLyFCMGeREREZGnGDHIi4iIiDzFNKogv3fvXgYPHkz//v3ZtGlTfcupka+++oohQ4YwZMgQPv300/qWoxXLly9n7ty59S2jVo4dO8aoUaMYNGgQn3zySX3LqZXdu3ffeS8sX768vuVUS3FxMUOHDuXWrVsAhISEMGzYMPr378/KlSvrWd293K9169atDB06lGHDhjFv3rx/ZJnyOLhf7202btzIpEmTHr8AoZGQnp4u9O7dW8jLyxNKSkqEYcOGCfHx8fUtq1qCg4OFcePGCUqlUqioqBAmT54sHD58uL5l1UhISIjQuXNn4b333qtvKTVy8+ZNITAwUEhLSxMqKiqECRMmCCdOnKhvWQ+ltLRU6Nixo5CTkyNUVlYKY8aMEYKDg+tb1j2Eh4cLQ4cOFXx9fYXk5GShrKxM6Nmzp3Dz5k2hsrJSmDJlSoP5G9+v9fr160K/fv2EoqIiQaPRCHPmzBHWr19f3zLvcL/e28THxwvdu3cXJk6c+Ng1NJqZfEhICF26dMHCwgIjIyMGDBjAwYMH61tWtdja2jJ37lz09PRQKBQ0bdqU1NTU+pb1UPLz81m5ciUzZsyobym1cuTIEQYPHoyDgwMKhYKVK1fSpk2b+pb1UNRqNRqNhrKyMlQqFSqVCn39htU+ctu2bSxYsAA7u6rG9JcvX8bd3R1XV1fkcjnDhg1rMPfa/Vr19PRYsGABJiYmSCQSmjdv3qDutfv1QpXR2IcffsjMmTOfiIZG4yefmZmJra3tne/t7Oy4fPlyPSp6OM2aNbvz78TERA4cOMCWLVvqUVHNfPjhh8yePZu0tLT6llIrSUlJKBQKZsyYQVpaGr169eLNN9+sb1kPxcTEhFmzZjFo0CAMDQ3p2LEj7du3r29Z97B48eJ7vq/uXsvI0L25+ePgfq3Ozs44O1f1g8jNzWXTpk0sXbq0PqRVy/16AT7//HNGjx6Ni4vLE9HQaGbyGo3mHkMzQRAavMFZfHw8U6ZMYc6cOXh4eNS3nGr57bffcHR0JCAgoL6laIVarebMmTMsWbKErVu3cvny5QbdUD42Npbt27dz/PhxgoKCkEqlrFu3rr5l1UhjvNcyMjJ48cUXGT16NJ07d65vOQ8lODiYtLQ0Ro8e/cSes9EEeQcHB7Kysu58n5WVdc8SqKERFhbGSy+9xNtvv83IkSPrW85D2b9/P8HBwYwYMYLVq1dz7NgxlixZUt+yHoqNjQ0BAQFYWVlhYGDAM88802BXdACnT58mICAAa2tr9PT0GDVqFOfOnatvWTXS2O61a9euMX78eEaOHMlrr71W33Jq5I8//iA+Pp4RI0bwwQcfEBUV9fhXoo991/8RcfvgNScnRygtLRWGDx8uRERE1LesaklNTRU6d+4shISE1LcUndi+fXuDP3gNDw8XBgwYIBQUFAgqlUqYPn26sG3btvqW9VCCgoKE4cOHCyUlJYJGoxHmz58vrF69ur5lVUvv3r2F5ORkoby8XOjRo4eQmJgoqFQqYerUqcL+/fvrW9493NZaVFQk9OzZU9i5c2d9S6qR23rvJjQ09IkcvDaaPXl7e3tmz57N5MmTqaysZMyYMbRu3bq+ZVXLunXrUCqVLFu27M7Pxo8fz4QJE+pR1dNBmzZtmDZtGs8//zyVlZV069btiS59dSUwMJDo6GhGjRqFQqGgVatWvPLKK/Utq0b09fVZtmwZb7zxBkqlkp49ezJw4MD6llUtv//+O9nZ2axfv57169cD0KdPH2bNmlXPyhoOop+8iIiIyFNMo9mTFxERERHRHTHIi4iIiDzFiEFeRERE5ClGDPIiIiIiTzFikBcRERF5ihGDvIiIiMhTjBjkRURERJ5ixCAvIiIi8hTz/0i0hmUI+ZEHAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -387,35 +397,37 @@ { "data": { "text/plain": [ - "{'axes.axisbelow': True,\n", + "{'axes.facecolor': 'white',\n", " 'axes.edgecolor': '.8',\n", - " 'axes.facecolor': 'white',\n", " 'axes.grid': True,\n", + " 'axes.axisbelow': True,\n", " 'axes.labelcolor': '.15',\n", - " 'axes.linewidth': 1.0,\n", " 'figure.facecolor': 'white',\n", - " 'font.family': ['sans-serif'],\n", - " 'font.sans-serif': ['Arial',\n", - " 'DejaVu Sans',\n", - " 'Liberation Sans',\n", - " 'Bitstream Vera Sans',\n", - " 'sans-serif'],\n", " 'grid.color': '.8',\n", " 'grid.linestyle': '-',\n", - " 'image.cmap': 'rocket',\n", - " 'legend.frameon': False,\n", - " 'legend.numpoints': 1,\n", - " 'legend.scatterpoints': 1,\n", - " 'lines.solid_capstyle': 'round',\n", " 'text.color': '.15',\n", " 'xtick.color': '.15',\n", - " 'xtick.direction': 'out',\n", - " 'xtick.major.size': 0.0,\n", - " 'xtick.minor.size': 0.0,\n", " 'ytick.color': '.15',\n", + " 'xtick.direction': 'out',\n", " 'ytick.direction': 'out',\n", - " 'ytick.major.size': 0.0,\n", - " 'ytick.minor.size': 0.0}" + " 'lines.solid_capstyle': 'round',\n", + " 'patch.edgecolor': 'w',\n", + " 'image.cmap': 'rocket',\n", + " 'font.family': ['sans-serif'],\n", + " 'font.sans-serif': ['Arial',\n", + " 'DejaVu Sans',\n", + " 'Liberation Sans',\n", + " 'Bitstream Vera Sans',\n", + " 'sans-serif'],\n", + " 'patch.force_edgecolor': True,\n", + " 'xtick.bottom': False,\n", + " 'xtick.top': False,\n", + " 'ytick.left': False,\n", + " 'ytick.right': False,\n", + " 'axes.spines.left': True,\n", + " 'axes.spines.bottom': True,\n", + " 'axes.spines.right': True,\n", + " 'axes.spines.top': True}" ] }, "execution_count": 15, @@ -441,9 +453,9 @@ "outputs": [ { "data": { - "image/png": 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KzLEe3WdnXVtL+TIXoyGzlhpbGR2OHk6Nn0tKFqVCZMe6XDz+CJ1DqVaxdwLBaIg3eg+jEpV8rfIJFKICXyDChR4n+Zm6G86mnEMhiPxJ1efRK7W82nUQV+j2/H1XjfL+Y/chZODJkvvnk+VPd8RezER7dhebC9iYVcegZ4TTSb6cJblGrCY1TZ0zhCMpy+p2M+Ae4YOB46RrLTxcFEuwDoUlLvY6ybJqsKfH92JCLMvg6bKHUYsq/tB1EE/Im5RM2+tiY7OaL88ktT7FynKo/xiukIf78u/Bqk0DoLlzhqgkx211z2HTpvFI0T5CUph3luGCXQ6rQnk3j1yi3dFNpaWEalsZEBsMeqZ9Om6Xyad5tGgfKlHJGz2HCUYTbyQkCgKbK234g1Eu9joTXp9iZflD90EkZL5U/igaRaw9Qlu/k2BYoqHsxr7MT2PTWnikaC/eiJ/Xew8nJdPa0gz0GgVNnTOprJPbzHTAweHB46SpTewruGf+53Mn501ViQ9t2Z7TQJYuneMjZxj33fpB5Xe88pZkiV+2vIIAPF6yf/7n3cMeHJ4w9eXxu0yuxqZN4968bThDbj4YPJ6UbHN/8NOpCfO3lU5HL53OPqqtZVRaS+Z/3jRr8daXJ9fXfXfeFrL1GTSOtTDlT9x6VipE6kotzLhDqayT28xrPYeIyFEeK75vfnN3+8K09jkpyjEkNeZMISp4pGgfEjJvJLnBL4c7Xnk3jp2j3znE5uz15Blz5n8+l6YXT5bJUuwv2IFRZeD9gU9wBhPP2S7MNpBuVnO+x5kKSt1G5o6tDxbunv+ZJMm0dDkw61UUJzFcGGKFXvcX7EKSJQ4NfJzUPerLYj1wUq6T20eva5CmiUsUmvLYmFU3//Pz3Q4kGTYsUh8SL+szqig05dEy2XrLc7/veOV9eOAT1AoVjxRdaRQhyzJNl2NZJsvp261Vanik6F5CUpjDSVjfgiCwrtSCPxilKxWUui10Ofu47Oyl2lo6H6QE6Br24PFHWF9mWda0nIasWjJ1Nk6ONTMTSNw9trYoDZVSoKkzpbxvF3Mb7+eK91/zLJzvjv0915cmP3FLEAQ+N5u18lrPoVvqHrvjlffuvC389dZvYNFcUdJDk35m3CFqi9OSngw/x5bsesxqI8dHzxKIBBNePzdq7Vx3qk3s7eCK1b3nmp/PWbpzlm+yKASRAwU7icoS7w9+kvB6jVpBdWEaw5N+xmdSvU5uNeO+KS5MtVNoyqM07Uovokg0FszOSNOQY1teg7kySyE1tjK6nP30um+d9b0szTc1NcWePXvo6upaKXkWsDN3E9sKNlzzswuzinJFZlSKCnblbiYYDSWVs1lZYEatFFPK+zbQ7eynw9FDlbXkGqtblmWaOmfQqsUVmai0KasOm8bC8ZGzSbnX5l0nKev7lvPh0AlkYF/+9muC1p1DHgKhKOtKLCvSLnpf/nYAjgw1Lvte8ZJ0V8FwOMwPf/hDtNqb2xbVe+48fe9/gMcTc0uosrO42KVHAGqL0lbkM3bYN/Fe/zGODDWyO29rQl3lVEqR6iIzLZ0OxmcC2O0rIlKKOHiv7xgZM2EeiKQz9ftXiHq9aIuLcKbnM+kIsKkqfUVGnSlEBQfW7OSly29wePA4T5ben9D69aUWBAGaOme4f3PqAblVeEJeTo00UzulIv/DS0yJHYg6LQqDgTZPzM9dtwyXydWUpRWRa8imZeISM8X751MRbyZJK+8f/ehHPPPMM/zzP/9zXNdnZGSgUiXezPzM//5/EBi+dmr7A6KGmoI6Ci070aSvzBDZeye2c7DzI/ojI9yzZlNCa3c1hGjpbKZvUmI9YF9lGnw1yTsna9+ZEzT8qpEMZwR4kzlvtOd4rCfJXyr0GDZ8ccV+t8ezHuDgwFEax1t4btszaJWauOW1AzXF/VzqmUJntGExxbf2VrOangO4vrxht5uWf/4pz54aw+iXcHFtN9FaQQRLOdvWbMG4Qr/35wL385NTL9DsbuMrxU/ELWuyJKW8X3nlFWw2G7t27YpbeU9OJtfjIeu7f01aVGJqagpZluk+chrhbCOVfac585cXyP6z59DX1iR176vZbK3jPT7ilQtvU6TMTegotWZ2/zjW3M/ndpcyMjKybHluFXa7fdXIa7fbGezoYOqVP+A5fpIMILi2hNy1m9Dk5yHqdAS6uzlz8Ay5k90ofvdvNHe1kPHMF1GYTcv+/C1Z63i3/yhvn3+fbTkNcck7991W5uu52D3Fh40dbK25cxr6z7GangO4vrzB/gFGf/o8pqlpgioB/Y5tpG3ZgqBSIfn9TPeNMPb2IdbNtNPy13+D9dGHsTz0wLLdJ2WaAgwqPQcvH2GHbcN8MeFyv9ulFL/ib//2b/820Zv9/d//PYODg7z66qu0trZy+vRp9u7di8FgWHLNnNsjUUSNhoySYgJqFap0G2+O6vhDqJAd20vgcjuek42IRgPaoqKk7j+HQaVn0DPKZUcvFdZibNr4j1NatYKWrhl6R7x8bncJwcDqyek1mUxJ/21uNepgiMt/+/cEOi4zZVPz3r2ZPPDV/4ihpASlzYbCbCKancs/nFfiKalhrc6L/1Ir7uMn0VWWo7Qs74icrrXx0VAjrpCb7fYNN7z+6u9Wo1LwUcs4GpVIQ3nyqWk3i9X0HMDS8rpPNDL2k+eRPF5OrtXj+8rDbNj3JKqMdJRWK6qsTBpdel6YzqF2UxmmmRF8zeeIut3oa5c3LlEhiASiQdpmurFq0lhjyr2urIn8rouRlEPwV7/6Fb/85S954YUXqK6u5kc/+hGZmZk3XrhMJFnmQo8TvUlH4WP7sf/H76AwGpn6ze+Y/O3vl52mc2/eVgA+Hkk8cLmuxEJUkmnumFiWDCkWJ+JwcOEHPyQyOUlgVwO/uj+NorVbFswVbO13IctQWF1I7n/6LrannkTyehn5bz8mNDK6LBls2jRqbGX0uYcZ9CRmSeVn6jAbVFzqdS172EOKxXEcPMTEv/07glLJiQdLOLnOyD1rtiy47lyXA1kQKX1gJ7n/439GnZ+H+6NjjD3/r0jh8LJk2GnfhEIQOTJ88qanDd7xqYJX0zfqxe2PsLY4DVEQ0JYUk/s/fQ9Vrh3X4Q9xvr+8KqfStEIytDbOTbbiT7BX77rZzJdTl8aWJUOKhURcLkb+8Z8IjIxiefB+DtWKyKLAjtyNC669NNuqoLYoDUEUsey/j4yvfXlWgf+/hKeW10hshz32mYlu8IIgUFtoxuULMzSxek5mqwVvUwvTr/wBhdWK+jvf4qTNQ5W1dEHg0B+M0jHopjDbgMWoRpmWRu5/+i7ainJ8TS2M/8vPl6V00zQm6jNqGPNN0u0aWO6vdV2WrbxfeOEFSktLV0KWG3J+kRRBVboN+3f+GkWamemX/4CvtS3p+wuCwNac9YSlCE0TlxJauybHEOvx3TaW6mOxgsjhMKP/9GPCY2PkPfk4gf1b6XINUGEpJkt3bbBalmUu9jjRaxUU5Vxx4Zl33IPt808QnXEw+l//iag7+QlI1bYyrJo0zoyfT7guoKY4pkgu9qR64awkwf4Bxn/+CwSNmpy/+gtOSTGluTWnfsG1bf1OJEmmruSKUhd1Ouz/w1+irazA13IO53vvL0ueuc89dZPHpa0qy/tCjxNRFBY0olKmpZH9F38Kosj4v/yMcJLBUYDNWesQgJNjzQmtEwWBqkIzM+4gI1P+pD8/xbVMv/YGoYFBjNu3Uvj1Zzk+2gTE0js/zeh0gGl3iOo1aYjitb5Ly/37sTxwgPD4BBO//HXSG6woiGzPaSAYDXFm/EJCa2sKZ5V3qpHZihFxOhn97z9FDofJ+ubXUebaOTV2Dr1SR1165YLrW/ti/fc/nWYsqFRkf+ubKNLSmP7Da/gvdyYtU7mlCIvaTNPEJULR5blhrseqUd5ef4S+US+luUb0moVJMtqSEjKe+SKS18fYf38eOUnflVWbRqW1hF7XIGO+xDaB6tmCkLkHJMXy8Le14zx0GFVWJhlf+iJRKcrp8fOYVAbq0isWXD/vMilePMfW+vhjaMvL8LWcw3PyVNJybctpQETgkwSLukx6FWuy9fMFIimWhyzLTPzil0RnHNie+ByG+vVcmunEHfayKasOpbhQT7T2udCoRApzFiZXKMwmsv/sOQDGn/8ZEWdym6woiGzKriMQDXJ+qj2pe8T1OTftzitM+4ALmSsKcjHMu3Zg2nEPoaEhHAcPJf1ZW7Jjx55Ere+q2RNBa2q6zrKJer2M/9sLIAhkPvcNRK2GlrFWfBE/G7LWohAXDhK+eJW/ezEEUSTz619D0GiYeul3RKaTq3hM05iospUx6BlJeIOvLUojKsl0DKSekeXiaTyN/1Irupoq0u6P9Rc5ORp7ZxdzmUy7gozNBKgsMC/ZVkNbVort848TdbmY+MUvkz6hbcleD3BTJ82vGuXdNqsQq27Quzv9qSdRpJlxvP0u4fHkMj/q0ivRKTScGjtHNIFBxelmDXmZBjoGXKkug8tk8tcvEXU4sD76MNqiQgCO9cVKjzdmrl1wfTgi0T7gxp6uw2pSL3lfVUYG6U9/AcnvZ+KFXyX9cs7JcDZR10lRynWyEoRdLqZ+9zKCSkXGV55BEARcIQ8XpzrIN+aQf1UH0jnmdMiN+v+n3bcPXU0V/kut+JqTU77Z+gwKTXm0z3Qz7b85rTNWjfJu7Y8dd4oWOe5cjajTkf70U8iRCJO/eSmpl1OtULEhay2ukIe2mcT6tqwvzyQQkugbTW76Sgrwt3fgPX0WTUkxlgdjpejBaIjTQ+fI0Nrm82evpnPITTgiUVt0414mph3b0dXW4G9tw/3JiaRkrMuoRCUqOTNxIaFnrDTXiEYlppT3Mun9+S+QPB6sjz2CKiNW9HRm/DwSMluzF1rdcMWdeSPlLQgC6V96GhQKpn73MlIo8WEtELO+ZWSO9t6cfierQnlPOf2MTQcozzfF1UXQsLFhdudsw3umKanPnDv2nB47n9C6+opYvnvK750csiQx9ftXAMj40lMIYuzvfX6ynWA0xMastYsWUtzIZXI1giCQ+bWvIKjVzLz2OlIw8W6SGoWauvRKJvzTDCSQ861UxJpljc8EmXQk/rkpwNfaxvjhD1GvKSDtviutopsmLiIisCGzdsEaWZZp7XNhNqjiGomnzs7Gsn8fkekZHG+/m5ScDZm1KAQFR3pP3JQMtFWhvFsux9wf8Y47EwSBjGe+hKBUMvW73yMFEm/FWWjKw6axcHG6I6GIcV1pBoKQ8nsni+dEYyy7ZOsWNIWF8z8/PR7bRDdmLXSZALT3u1CIAmX58ZXBK60W0vbvI+p04TyUXH3AnCxnxhPb4Oee47aU3zthZEli6ncvgyjGNmBFLPYxFXDQ5x6m3FKMUb3wdD486cflC1O9xhx3FaXl4QdRWC043nuf8Nh4wrIaVDrWZVQy6BrBG1n5DLRVorxjQaGqNfF36lJlZZL2wIHYy/nBkYQ/UxAE6jOrCUZDCblOjHo1hdkGuoZTGQWJIgWDTP/xNQSVCtvjj83/3BPy0j7TRYl1Ddn6hX1BfIEI/eM+SnKNaFQLA5lLYbl/P6LJiOPgISKuxBVplbUMvVJL08QlpARiI5UFMeWdClomjvf0GcLDI2Tu2Y1mTcH8z5tn6zIaMhfvcxSvv/tqRI2G9Kc+D5HI/GkwUZ4qe5gf7PkbjCp9Uuuvxx2vvGVZpuXyBEadkrzM+CeAA1j270M06HG+9z6SP/Gdr2H2+NWcYMFOdaEZSZK5PJh8MchnEcfBQ0SdLtIO3IfSdmWIQtPkJSRkdhYuLHUGuDzkRpahIk6rew5Rq8X6yMPIwSCON95OWF6lqGB9Rg3OkJsuZ1/c6+wZOow6Je0D7lRBVwLI0SjTr78FCgVrvvzFa/6taeISIgLrMqoWXTvnxky0v7thQwPaslJ85y8Q6I3/bzyHUaVnXU51wuvi4Y5X3mMzAaacAarWmBMeZyXqdFgO7Efy+XC+/0HCn11gtGPTWLiQoOukerYYo7UvFZSKl6jbjfO991GYzVjuP0A4FMXjDhHwhTkzchFBhnvWLCyHB+joj22SlUkMXjDv2oEqOwvXsY8JjSbe2uCK6yT+rBNREKhq2BaYAAAgAElEQVQoMDHjDjHhTPm948V9/CSRiQnMO+5Bm52NJMl43CF6RsYYcA9TYS3BsIiFG4lKtA+4yLZqsZkTa8crCALWRx8GwPFm4hv8zSTpft63irbZHTOZFxPAfO8eHIcO4zh0GPPee1EY4j++CIJAQ2YN7w9+QttM15K7+qcpzTWiUgqpoGUCOD84glfS4G14hPN/7GVsyIMkxaxSA2upUVdySjuIfY2WjBz9NX7LtgEXSoVASRKDhgWFAtsTjzP20+dxvPk2Wd/6RkLrS9MKSVObaJls5emyhxfNP1+MygIzZztmaO93JTW5/LOGHA4z8+bbuAzZ9Brqee9/O4jHdWXjqxYPYM5SccY1RHV9FnrDlYZlvaNegmEpIZfJ1WgrK+at72BfP5rCNTdedAu44y3vucDf9Ypzroeo1WC5fz9yIJBU46r6WR9aIq4TlVKkNNfE0KQft+/mlcfeLQScHk6ddXKi8EnODWkYGXBjy9RRWm3DVADutHEUKDl5tIc//KqVV/79EhMjsVRMbyDC4LiPErsRtSq5x1lfvw5Vrh3PmbOEJ6cSWisKsaO6LxKgy9kf97orfu+Uay0eOt48wQnDPZyyP0TXZTcCAjn5RkqrbISyp4mog3hH4ezxEV56/jynjg4SCkYAaB9I/mQGMSPO8shDAMzcQdb3Ha+8e0e9ZFp1ZFqSnz5ivnc3CrMJ5/sfEE2wr26yrpOKgpj/tTM1Vf66dLVN87ufX6LfWIleI7P7gSK++u31PPlsDfseKWGmpo2+ytM8/q0ynvnWFkoqrUxP+Pnji600fjRIe1+s8jbZFxNmX84HDoAk4TyUeFOiuR4a56bib4pmT9di0itjlcMpv/eSRKMSxw/38VGnDpcmg4JCIw89Vc53/8t+Hnumirr7LHQUnkC5Z5g/+et6dh4oRK1R0HxylN88f56+Lsd8YDjRmMjV6Koq0ZSW4Dt3nmD/ze0WGC93vPL+/O58vvOlhmU1SRfVatLu348cDOI6+nFCa+dcJ4lmnZTPPigdgynXyWLIsszpY0McfqObUFimxHmeL3yjlsq6jPkjry8SoMPRS77RTobBSkVNNvc9VsojX6zAaFbT0jhK03t9qLiyWSaLcdNGlDYr7o+PJ9x1sCytEL1Sy/nJ9rgVsSAIVBaYcXjCqanyS+ByBHjtxTYunJ1AH3KyN2eEB5+uIr8oDWG28djVWSYarZLq9Zl86U/XsnlXHpGIzMFXO3ENeLBbNZj0iY9hnEMQBKx3mPV9xytvjStMeGL51YrmHfcgaLW4PjyCHIkktHbedTLZGveaErsRpUJIZZwsgiTJHHuvj6YTIxg0Elv7/0jDxnQ05mt91henOpBkiXWf6g6Xu8bMF75eS9W6DKRAlGoEsgzJv5gQ832nHbgPORzG+eFHCa1ViApqbRU4Qq6ECnbmXCftKdfJAhxTfl57sY3JMR950WG2DL5B4YP3LLju/FQbIgJrr3pGlCoF9VvtPPZMJRqdklwJCgWR6DJbVuiqq9AUF+E7dz7p1hsryR2vvHs6Znjr5fNcPJt4kvzViDod5h3biTpdeM4k1g2uwGjHojbTOn057l4nKqVIsd3IwLgPXzCxzeJuRopKHHqti7Zzk6Rn6dg89h4G/KTt27vg2jk3xPqMhalWKrWC+p25DCGjQeCd313GuUwL1nTPdkSDAdcHR5ACiWWB1M0Gs89Nxu86mTsttKfyva/BORPgzd924PdF2LRWS1XPQczra1FlXpvj7wy66XMPU5pWiEG1MI04M8dA+roMvMhEp4Mcead3WS4qQRBI23cvyDLODxOvHVlp7njlfd9jJRhMGj453E9na2LBpE9j3rsHBAHn+x8k9EcUBIHa9Ap8kQA9CQSlKvJNyDJ0Dqb83hBzlXz8fj99nQ5y15jYVx1CMTmCafu2BQOCQ9EwbdNdZOnSFy3MgVg8YRgZU6EJjzvEG79px+NKrg8FxIoy0vbuQfL5cH/8SUJrq6wlqERlQn7vHJsWs0GVyve+CrczyFu/7cDnDbNtbwH27mMApO3ft+Dai9OXAVi7SHvgObonvLQhk56tp6t1msaPhpa8Nh4MGxpQpKXh/uREUrUjK8kdr7zNFi1f/fOtqDUKPny7l4FlTCFRZWSgr19HqH+AQGdiDafm+kdfmO6Ie035rGWVcp3EuHBmbNbi1nP/E2X4jh0FYgHlT9M+001IClOXUblkvGPO3bBxey5bdufj84Z574+dRMLJH4/N9+5GUKlwHfkIWYr/PhqFmiprKWO+ybjbxAqCQFWBCZc3zOh0yu8dCkZ4+/cdeNwhNu/KozIPfOcuoCkuQltasuD6C7O9spdS3pIk0znkIcOi4eGnKkizajh3anRZp3hBocC8ZxdyIID7+Mmk77MS3PHKGyAnN437nyxDFOH917twOZJ/0C33xXZw5+HEinbKLUVoFGrOT3bEbSWV2o2IopAKWgJ9XQ5OfDiI3qDi/ifLkKcmCLR3oK2sQJ1rX3D9nAW7Ln3p3PrLg25USoGiHAPrNmdTUZvO5JiPY+/1JW3JKoxGDBs3EB6fwN+WWCP9uayTRBrwl8/6vTuHPtsbvCzLfPROH86ZIOs2ZVO/1T7/jqbtv2/B9YFIkA5HDzn6TDJ0tkXvOTjhwx+MUp5vQqtT8uAXKtDplXxyuJ++ruTbtJp37UBQKnF+cCShDX6lWRXKG8Ceb2LXgSLCIYn3X+9OOvigKS1BvaYAX/O5hMalKUUlldYSJgPTjPvjc99o1AqKsvX0jfk+031OHNMBPnijG4VS4P4nyjCa1LiOxIKC5j27FlwvyRIXpjpIU5tYY8pb9J6+YCy/uyjHiEopIggCOw4Ukpmj5/KlKS42JW9dzcnkOnI0oXVr0ysQERLye5fnxYK0n/XT2YWz4/RcniEn38jm3flIfj+ek40obVYM9esWXH9+rI2wFLmuy2TuO62Y3SDNFg0PfL4chVLgyNs9eN3JudgUJhPGLZuJTEzgv5hY64yVZNUob4Dy2nTKa2LW1amjyfmuBEGItZGUZdzHEvNr1tliltWFqQRcJ/mxPifdw59Nv7ckyXz4Vg/hsMTuB4rItBuQAgHcJxpRpKVhWL/wxex1DeKL+Km1lS/ZEqF72IPMlZRMAKVSZP/jZej0Sk58MMD4SHLfuaaoMLbBnztPZCb+aTsGlZ6StDX0uYdwheL77Jx0HQat4jNdDzA25OHkkUF0eiX3PVqCKAp4Tp1GDoYw7dwx3znwak4PnQNYdE7lHB2zyvvqZyQzx8C2PQUEA1E+fLsn6ROaed8eAJyHP0xq/UqwqpQ3wI79a0izajh/eoz+7uSOPoYNDYh6Pe5PjiNH47eIa2xlCAjzvrZ4mMso6PiMWlbNJ0eYGPVSWm2jrDo27d1z8hRyIIB5985FX8y5QFRNevmS951TdmV516YXGk1q9j1agizDkbd7iUQSP6EJghCzvmU54bqAWltM5rbp+GIqoiBQmmdi0hlkJklLcDUTCkZ5/41ukGX2PVqC3qhGnvveRRHTPdsWrJFkiTPD5zCpDEuezGRZpmPQjc2kJiPt2gK/6vpM1pSmMdzv5typxPvZAGjy89GWl+FvbSM8cXvSBled8lapFdz3WCmiQuDI270E/Imn4YkqFcatW4i63PjOxd9QyKg2UGzOp8c1iCfsi2tNaZ4RQfhsHosnRr2cPT6Cwahix32xfhCyLOM88lHsxdy5MG8X4NJ0JwpBQYWleMl7Xx50IwhQmruwOCd3jZnahiwc0wHOfjKclOzGzZsQdTrcxz5JbIOf3XDmNqB4KMubq8b97D0jjR8N4nWHqN9qJ3e2SjbU309oYBB93VqUFsuCNX3uIVxBT8xNtcTJbGTKj9cfmU8auBpBENj9QBE6g4pTx4aYSHLq1dzz6/74eFLrl8uqU94A6Vl6Nu3IJeCP0PjRYFL3MM9+8a5jiVlWa9MrkJG5FOfLqdcoKcjS0zPiIZyEFbhaiUSk2LFUktn9YBEabawHWrC7h/DwCIYN9SjTFvZndwRdDHvHKLcUolEsPosyHJHoHfWQn6lHp1m8EdTmXXmY0mLZBcm4T0S1GuP2rURdLrwJzDHM1mVg01hon+kiIsWn9MvzP5t+75FBN60tE1hsWhq2XQlauz6KvZPmXTsWXTfntryev3vupLtUSbxOr+Leh4qQJZmP3u2db4KWCIaG+tgGf/xEQhv8SpGU8g6Hw3zve9/jK1/5Ck899RTvv594P4jlUrcxG1umjvbzk4wk8dCr83LRFBfhv9RKZHo67nVzlVwXE/B7l+WZiERl+sY+O3MtWxpHcUwFqKnPJP+q0WTuT2JWimnHUlb3rMvEtrTLpH/MSzgiL3CZXI1KrWDPg0XLcp+Yd8cCl+4EXCexmoBy/NEgHZPxuU4Ksw2olMJnyu8diUgcPRjrj737wSIUypgqkvx+PKdPo7TZ0NUs3gf70nQnKlFJhWVh+uAcXfNutaXbJuQXpVFRm870hD+pALeoVmPcspmo04XvNgQuk1Ler732GhaLhRdffJHnn3+ev/u7v1tpuW6IqBDZeWB2qvjBvqSyT0w7d8T8mgkce7J06aRrrbTPdMddbVmWG1MynZ8Ry8rlCNLSOILeoGLz7vz5n0vBIJ7TZ1HarOgqF7ea5twNtddR3pdnX8zy67yYAPYC07z75Pzp0UR/DdQ52WjLSvG3dxCein+Dr7aVAXB2JD6XnFIhUpxjZGjis1ON23RiBOd0gNqGLLJzr2zCVwKV98zPL72auZNZTVYFasXSLRE6h9wYdEpybNdvt7tlTz4arYIzx4aSyj6Zd50kmPywEiSlvB988EG+853vzP+/YpGg060gO9dITX0mjukA504l/nIaN21A0Gpjgcs48zUFQaDaWoo/GqTXFV93sdI5n+ZnJOPkxIcDRCMyW+/NR6USCfsn8EycYerCKyh3mlE/no9j6CDusRP4HK1EQrE8+LAUoWOmhyxd+pK5u3DFN1x6A+UNsGlnHjq9kuYTo0m9nMbtW0GW8ZyMfwJ4eVoRKlFJ03D88ZSyfBMyVyzGuxnHdICWxlGMJjWbduURjfgIuHvwTJzC7TmJ6qFs5MogjqFDuMdPEvIOI8sxt0TrbCC4wb5wyPAcM+4QU64QpbnGGza00+lVbNmdTzgsceLDxLsFagryY5lJFy4ScSSfO54MSQ1jMBhiAz49Hg9/8zd/w3e/+90brsnIyEClSr55kN2+sJAD4NGnMujv+oDmE6PsuLeaNGtis+L8e3Yz9u5BtCOj2DYtPqnl0+yQt3Bs5DQDoTF22hdGwz8tq90OWdZ2ekZ85OTkLKtD4s1gqe82GS63jtHX6aC8Ssma7DYmL7cRDs5WxapBUWVCwovfce0x02ApwqfPQZTDbCmoX1Km7OwcuoebyLbpqakoXPSaT3PgMYnXXmrh/KkpnvzqhoR+n8yHH2L6pd/jbzxN9XPfiPtvtza7iqaRCyjNajIN6Te8fkudyFsnhhl1yty/gn+PRFjJ5+B6HHm7EeQoBx42E55+j8nJNpg9xQoFIgoMBHxdMJsT4AZEhRpzejnTntizVG+vxW7KXvT+nWOxNOKGqty4fqec7Bx62l10t8+wfY+C0sqsxH6hhx+k+yfPI1xsxf7U5xe95GZ8t0lP0hkZGeGv/uqv+MpXvsJjjz12w+snEyiI+TR2u52RkaW7tW3caefI2728+Uozex9eOkNhMRQN6+Hdg/S/9Q7BvNy41qRLZhSCglMDzdybee1cxaVkLcrR09g6RdPFHuzpic3ivJnc6LtNhGhE4oO3TtKwvpPcnAkmh0BUaNFZqlBK6Uz+y0tocgvJ+fO/QIr4iYScRILTBFxdeB294OjlP6QZIOhmeKgfQbx2s7fb7TRd7MbjD1NXbI5b7qx8JRnZes6fHaK40kT2dXzli6FvqMdzspGeo8fQlZfFtabUUEATF/iw7RN25m664fVWbRRBgOb2UQ40WG94/Uqzks/B9Rjqc+KZPsf+vX2EHAFCgEqbhdZcir+5C+8HZ0h/+svo66qQpTCR4DRBTz8h7wCO8Ys0ALlpJnT+SYbd0UU309MXYxZ0lkmO+3fassfO0AszvPlyC1/4ei2iGL+BFa0oR1CpGHrnXcR7ti2Qabnf7VKKPym3yeTkJM899xzf+973eOqpp5IWaqUor0knPUtH56UpJsfiS+GbQ1O4BlV2Nr6Wc0R98a3VKNSUpq1h0DMadzHGnN+76y51nchShN7z77Bh7XFycyZQabOwFn6O7Or/gLXgYcLN48gTIUwN2xEVWpQaK1pTEcaMDWSUPE1W5Z/RGBaRZNC4LjHe8W/4nQuDwnP+7rIEGusLgsA9+2Kpip8c7k+4MMO0fSsAngR6WcwFXONNGdRpFORn3t1ZSUHvKJ7hl2lY145aFcaQ3kBm2bNkln8NY8YW/O9fQggpMa1rQKk2o9Kmo0srx5J3H1kV3yCQdS+XQxGyRZnu5n9jpv91ouGFSQBdQ26UiljbhHhJz9JTsTYDx1SAjouJGZoKvR7DhnoiE5MEu7oTWrscklLeP/nJT3C5XPz4xz/m2Wef5dlnnyUQuH2NdQRBYOueAgBOHhlIuGOgcdsW5EgE79nmuNfVzAal4i3GKL2Lc3nD/nHGL/8SnbINn1+H0f4YGWVfRWcuQxBEZEnCfeIkglaLYUP9oveYjob4wOPimCIPY8YmohEfM/1v4Bg8iCRdmWA0F/S9XhbBYmTnGSmttjE55qPzUvzBRwBtRTlKmw3PmbNIwfhaxaZrLeSb7Vx29BCW4gtCluUZ78qsJFmW8UycYrL715iMDty+XLIqv0Fa7l5UukwA/G3tRF0uDJs2IizhXr3om+EVbwBn5m6M1hICrk7GL/8Cn+NKO4JAKMrAuG82gycx9bZxRy4KpciZj4eJhBNL/TNujZ3A3Y2nElq3HJJS3j/4wQ/4+OOPeeGFF+b/02pv7xDVvEIz+UVmhvvdDPYk1gjKuGUzQEJBqWprTHlfmumMT74MHVq14q4LSHmnzzHR9SLR0DS9/bl45EcxZ5Rfc3T0t7UTnXFg3LQBUb147nb7TMxiKU8vx2zfTVb5n6DSZuGbucBk54uEA7F+Ml3DHgxaxQ2zCBZjy648RIXAmU+GEspOEkQR4/atyMEg3qb4N/h6ey1hKUKXsy+u6+c2pLvpGZGiQWb6X8c1epRQUMWppnXk1XwepfraHH/3idipxrRty2K3AaB1uhOloKA0cz0Vm/6CNPtekCI4Bt7COfwBsizRO+pFkmPFcYliMKqp25iFzxPm/JnEUgd1VZUozGa8p88ih2/N3NpVWaSzFFv35CMIMes7kaR7VboNbXkZgcudcQ+gzdZnYNWk0T7TFVfKoCgKlOQaGJsJ3BVDiWVZxjV6DOfQIQRBzenmdXT3V7N2w8K4gafxNHDFOlmMuRNMpbUUAKXGSkbpM+ht64kEp5js+jVDg61MOoOU5pqSCvoazRqq12fidoZoP5/Y0di0LeY6SaQN6PqcWJ5yvOPzSu8y11ok5GSi81cEXJ2Eolkc/WQDuSXVGE3XbuCS34+v+RyqrEw0xYvHrJxBN0PeMcoshagVKgRBxJDRQGb5n6DUpOOdamK67490D8ZOVYmezOZYvyUHjU5JS+MogQTeU0EUMW7ZhOTz3bKc77tKedsy9ZTXpjMzFaC7LbGjsXH25fTEeewRBIFqWxm+SIB+d3xNsspmS7lX+8spSxEcA2/jmWhEobYwMHEvY2MWNmy3o1JfmzYqhUJ4m1tQ2qyL9mQGiEhRLjt7Z3Por5RDC6ISS959WAoeQpYjjFz6BRWZU0lZVXPUb7WjVIo0HR9JqO+3KjMDTWkJgY7LcaeEVWeUoRKVtM3E5we1mTVYTWq6hlf/cIZwYJrJrpeIhhzorBs4+nENsqBj3aaFGSKes83I4TDGbVuX3JRbZ0+4cyfeOZQaCxmlz6AxFhJ091Ckeg+jOjS/ESaKWqNkwzY74VCUphOJBRnnXScJnOCXw12lvAE2bM9FEAXOHh9OyPo2bqhHUKnwnGyM+8WpnrUSW6fjc53MKZ3V7PeWpSjT/W/gd7ah0tvRZnye82f9mC0aquoWTrzxnb+AHAhg3Lxp0aILgB7XAMFoiKrZ7/PT6C3V2AqfQJIFnqlvpSIj+ci93qBi7cYsfN4wl5oTOxobN2+K5XyfPhPX9WplLLA94h3HGYzvb16aa8TtizDhTGwM251E2D/OVPdLSBEP5pzd9AxUEPBL1G3Knm+TcDWeWZfJnPtyMebyu+cKoK5GVGiwFT2JzroOi9bNc9suolcl3+Sruj4To1lNa8sEXk/891Hn56HKteM7f5GoN7HEiWS465S3KU1D5dp0nDNBuhKwvkWdDv36OsJj4wR74/NRVliKUQgirXEei4vtRkRh9fo0ZVliZvBtgu5uNMZCMoqfovmUA0mS2bgjF1Gx8HGad5lc58WccytUWZcud9aaijjct5VgVIHOdwS/I7FBCVezbnMOao2C5sZRQsH4A1PGTRtAFOd/p3iY25ASdZ2s1hbCYf84k92/Q4r6Scvbj8pUz/nTY2h0StZuXGh1R6anCVzuRFtehipj8Xx4SZbocHRj06SRpVv8GkEQ8ai280lvLjadl6me3xONJKdAFQqRhm12olGZc43xF/8JgoBp6xaIRPCeTWxObjLcdcobYkdjMQnr2zR77InXdaJVaigy5zPgHsYbvvE8O61aQUGWnr4x76pLB5NlGcfguwScHagNeVgLP4fHLXH50hQWm5aSyoUVkVGvF9+Fi6jz8lBfJ4e+baYbhSBSZila8ppwROJkp4KD3VsQRDUzg28TcPcm9btotErWbc4h6I9w4Wz8LUEVRiO6mmpC/QOERuNbd0V5x+c6mfd7r8INPhJyMNX7KrIUxJL/IAbbOs6fHiMUjLJ+czZq9cJKbM/pmJIzbl46F37APYIvEqDSWnrdWEfXsIeD7cU4qSISnGKq5/dIkeTmTJbXpmM0qWk9N4EvAevbuHkTCAKekzc/6+SuVN6mNA0VdRm4ZoIJDS3W1VQjGvR4z5yNu1y+ylqKDHQ4euK6vjQ31qSqf5Wlg7lGPsTvaEWly8FW+CSiqKK5cRRZkqnfZl+0qMF7tgmiUYxbln4x3SEvg54RSsxrluwiCLFmVJGohNWWi63wcUBgpu81Qr7kWr7WbshCo1Vw4cwY4QSmHM0pGc+p+KzvHH0maWoT7Y5upDjccflZelRKcdXFRaIRH1M9ryBFvJjte9FbawjMbo46vZKa+sWrFj2nz4AoLplCCtDuiG18ldc5mcFcLEkgzX5vLNAdmGS6/zXkOFM1r0ahEKnfZicakWlJoPWG0mZFW1FOoLMroX44yXBXKm+Ahq05iKJA0/GRuK1vQaHAsKGBqMtNoCO+4orK2c5m7XFaViWrMKPAO9WMd6oJpSad9OLPIyrUeFwhOs5PYrZoKK1avA+Jp/E0CMJ1raq5763Ktri/e46576sk14jGWIBtzaPIcpSp3leJBOOfdjOHWq1g7YZsgoEorS3xN9M3rF+HoFbjaTwdV2xEEASqrKV4wz4GPTf21SsVIkU5BoYmY/MXVwNSNMR076tEQw6MmVswZjQAcPHsGOGQxLotOQsC2QChsTFC/QPoaqpRGJcOMLbNdCHAdfu7Q+wZ0WsV5KTrSMvdh9ZcTsg7hGPovaQCwBVr0zGYYr7vhK1vwHvm5rpO7njlHXD34nX2J7zOaNZQWZeByxFMKPPEONvfxHMqvqBUgcmOXqmlfaYrrgekZJX5NAPuXpzDHyAqdNiKnkBUxPKrW06NIknyvIvq08z7MstKUdqWLve+4u+OT3nPuRW05lIseQeQo0Gm+/6IFE08wFe7IQuVWuTc6bG4M09ErQb9+joiExME++J7Lud8+Yn4vWUZekbv/Gdkzp0W9o+hs9Ziyo714A6FolxsGkejU1K9LnPRtd7Zd8y4eemeQoFIkB7XIAWmXAyqpdtKuLxhJp1BSuxGREFAEASsBQ+i0uXgd7TiGU980rtCIVK/NWfW+o7fvWZoWB+LjcQZ2E6WO155O4cP03HqJ4QDifdGWbc5J9YvonE07p1XW16GIs2Mt6kZOXLj45YoiFRYipkOOpkI3HiTSDerMRtUdI947vh0sHBgipn+N0AQsRU+Pl9Y4fOEaD83gdGsprxmCat7zpd5HZeJLMu0O7oxqQzkGhZvMjR3Xdewh/Q0LbarcoT1trUY0jcQCU4zM/B2wt+nRhs7zvu9YdovxP98zbtO4gxcVlpLEIhfec9v8KvA7+2ZaCTguozakIclb/+8T7qtZYJgIMraDVmLWt2yLOM5dQZBpVp0jukcnc4+JFmi6jq9uwG6R66czOYQRBW2wsdRqMy4xz9ZtN3Cjahcm4HBpKKtZSLuqV0KgwF97WxsZCy5MWvxcMcrb3POTiQpzHTfawlbV3NH+plJP/3dzrjWCKKIYePGWLL9pda41sz54uJxnQiCQGmuEYcnzPQdPLNQioaY7nsNWQphyb8fteFKwPHc6TGi0Vmre5EME5g9MooihoalfZnD3nFcIQ+V1pIlx1kBTDlDuLxhqopsCwJWZvvu2RzfbtxjiU1FgthQD4VSpKVxNO6qS31tDaLBgPfMmbhiIwaVngJTLj2uQQKRGz/Dq6VYJ+CKfecKlQnrmscQhJiSjkQkzp8eQ6USqW1Y3NcdGhgkPDaGvm4t4nWqs+feqcobnMy6hxcqbwCFyoCt6AkEURU7IQTij4EBKJQidZtyiESkhAY2GGZP8N7TN891cscrb11aBdlF9xINOXAMvJOwdbV+Sw4ALSdH4l47d4yL94tP1O99p6eDybKMY+gg0dAMhoyN6C1XJpoEAxHaWibQGVQUVFmZDETo94YY8IYY9oUZ94dxj40T7OuPlQxfx5fZEXcgKpYjXV200GOOfF8AACAASURBVMoXBBFrwcMo1Gl4JhrxO+PLuZ9DZ1BRvS4DrzvE5UvxvdiCQoGhYT1Rp4tAZ3zWdKWlBEmW6IyjVN6kV5Fl1dA94okryHk7iARnmBl4CwQF1sLPoVBeacV8+eIUPm+YyvosvAKM+sMMeUP0eUKM+MI4Q1EccWSZQOy0ohZVFJnzr3td17AHQYDinIXPm0qbgSXvfmQpzEz/60jRxIymqroMNFrFrA8/vjiEYV1drG7k1JmbdsJOuiXsrSSv7EFmJroIuLvwTDRiytoa91pbpp41JWn0dzsZHfJgj6MbnaaoEGVGOt6WFqRQaMl+HHOk66xkaG10OHrimlt4ddByc9WNez3farxTzbGUQH0e5pydyLLMeCBCjyfExT4Xww3pRI1q/s9LSwf61N/4j1hUIgX9DgoMatYY1KRrFNdYzvNW1Q2OxHMWaEx5L2yAJip12AofZ7LzRRyD76LSZS7onXE96jbncLF5gnOnxqhcmxFX6b1h4wbcxz7Be+Ysuoqlp/7MUWkt4b2BY7TPdF939uIcpbkmjl+cZHTKT25GYj3qbzayFGG6/43ZU9lDqHXZhKISA74wve4gp2d8BO/JZlCn4O2lnpHiLeifrSbXaMM+7KLAoKbYqEZz1UluOuBk3D9Fra0cpbj0wJdINNbTJC9Dt+RMU52lkpBvBO/UWRxDB7EWPBJ3iwWVWkFtQxZnj4/Qfn5y0Xz1TyPqdOjW1uBrauH/Z++9gyU7y3Pf3+rVOXfv3qF3zmFyHmUhCUkkEQxCBIPBNjYCczjXHPuUXS6fW+deG1edouzyPQRjczDIGAQGhAGhEQKl0Whyntk55929O+ew1v1jde/ZM9Nh7dFomBF6qvTPaHX32t3re7/3e97nfd7E9AwYKseQa8EtEbwFjYir9Z34x75DdPkQekszBkuT6tfv2O9lZiLMmSOLqoK3IAhY9+wm9MyzJM6eV5ozqqDf1cnBxeOMrU7hoPJia6u3IGqEmzLzziQWiSy9iCCaCdc8zOG5GMPhNOGiy5oIgllHg0mLwyBi0WowiRpkQJIhJ8ssXxgmojMSqKllZTXJiVVFa+vWi2xyGtnsMlJnEBgPzyhSOkPl32R8IYZWFOhodOD3lXav1Bk9OBrvJzT/LMGZn+PpfAyhwoJfD6tNT/eAm9ELq8yMh2nrvnpi+ZUw9fagsVmJnzxNzQc/gFBlmlSHvRm9RrcBSamVVy/4GV+I3XTBO7z4IrmUD9G5nRGpjfPjAcajafLFBNOhx5CXabTocOm1GEUBUSMgCpCRZKKhCMHJWaJ1XsZiWcZiWSCOKECbVc+Aw8hWl2kdZVJ5c5/zJcjmpKsokyth995NNrlEKjxC3Ny0popRg8076zhzbJmzx5fZtKO2LF24HtY9u0mcOoP/5YPo33q/6s9Si1sieAOIWjPOlnewOvF9QrNPU9vzsTXlQzXUN1lpaLYyOxlhdSVBTV31xWApBO/4iZOqgndfIXifXb7I3TWVj4I6rYaWOjMzKwkyWQm97uZgr6R8ivnpX3Ix38co2wlMKkHXKApsdRoxhzNMv7rIzk0ebt9TWkGQWVpm7qlvY966hdrP/DErSYVWmYplGI2kObgS5+BKHIdOArGbbmflQJnK5JnzJehstFa1+DS5NpOOz5IMDRJZPojDe6/qv33bngZGL6xy5tiSquCtUCc7iL50kNToGKb+vorXazVauhytDAbHCaejVTes9aqku7dtcLLL64hkeISp1VkuCPcyttpI3q/UkhpMWrpsBhaPLZOejvDh39uM3Vl6ffoPPUfk18/T8CePQ38bi8ksk9EMo5EUE9EME9EMz8xHMApaRLGx6slsje/2Vg7egiDian0XvtEniCy9hMHSvGZJWw1Gs47+bR4unFxhbChA7+arrSCuhHnrFgSDHv/BV/A+cN91n6B1c0QNlTBYmrDV3UY+GyU0tzHt5va9Cvd99ri66q++qVEZ0nD+AlKqepGpx9mOBoEzS+qKnF2NViTp5vFuDmXyPDUywrdT93FE2kEkJ7DdZeIT3W7++9Z63t/mJHZiBUMqz7bd5YNJUdtq2bMLURDwmnXsr7XwWIeL/761ng93uNjiNBLJCpiMdzEU28yB+QjxMv7J00txZBm6qixMUE5MjsYH0BrcxP0nSEXUG+O7a020dDhYno+xrPJEZN2tbOoxlXre3mJhO1T9vhprTBj1mpvmdCbLMhdWV/k/kxl+lH+Y4VwjTr3IA14r/2Wgls/017IlD9mxMF0dzrKBW5Yk4idPoTGbMPX3YdZq6LIZeGujjcf7a/lvW+p4uNGGSy8SlzxYze/kqVm4EEyW5f8nrpCRVoKos+JsfhjkPMHZpy/ziq+GrbvrEQQ4o1K9ptHrsezYQWppGSl+/df5LRW8Aax1+9Gbm0hFRkkEz6l+XUunA6fbyPhQgJgKlYcgCFh270TOZkmcrz5I1qQ10mpvYjwwTTJXfTDFzaL3DqWy/GQmxD9cWOZ0qhazkOPtTTb+bEs972930mkzIAoC02MhIsE0PZtqsFjL83ex4ycQtFos27Ze9f90GoEBp5EPdriw8SvS6RMYRA2vrMT5+4s+np2PkLjCNqAoAetQ6RKnEfW4Wt4JgqgUXTfgb7Ftr8Jlqh1mbezpVjycT55GzlevdRQzyJFgdepEoxFob7CyGEgRT/3mJsrLssxoJM3XR/w8OZNhWXbTZcrw8S43nxuo5d4GG56C2dS5wvdW/B5LIT0xST4UwrxjO4L26oO/XSdyZ72V97XkicV/gk1cZTGZ48mpEP970MfFUOqqwDm+EMNi0lLnUncSN9o7sdTsIJdeJbL4ktqvAptDUa+FVlOqZwbUfPADbP3i/1uxcH+tuOWCtyBocLa8HUE0EFl4QXV3nSAIbN1bjyzJXDipTvJj3a1wYvETp1Rd3+fsUK0oWFOcLP5mgncmL/H8YpS/evECJ1aT2Ilxv3iU/zLg5PY6K6YrKIqzxwsLs4Sl59p7zi+QXVzCtGUzGlP5hopENslcdIpGo4//a3M972y2Y9AIHFyJ8w8XVzi8EidfWKAbyaqK0JlqsdffiZRLEN7ACc3bYsNTb2ZqNEQoUH0DFgpt3VI8TnK4uobYa6nDqrMwHJrYUEPX1G/oGVlJZvnWWIAnxgPMJ3J0CjN8zH6Bj/e10m03XCbvDPiSzE5GaGi2UlfhlBQrrKXiqaUcRkKT5KUV7quX+dxALbtqTATSeb43GeQbo6tMhJRMNhxXJsV3ei0boiXsDfegNdSQCJwhGVGvUNq6p3iCV7fBixYz9k0D1S+8BtxywRtAq7cr3XVyrtCcoU6f2z1Qg8msZeisj4wKyY+usRFdg3rqpHcDmZXbbsBp1TG+cOObdQZDKf5x0MfzSzH0oob7jCN8UPw5+1p6MBiu7oZcXoixshCntdOBs8Lw5CJ9UNz0ymE0PIWMTJ+rE51GYH+thf+6uY6HCwb6T89H+MqQn/FIiomFGG6bHmeFbL8ULJ7d6C0tpKLjJILVT06gbPBFaem5E+roNUshCKmRlWoEgV5nB5FMjKVE9Zb8Iod7o/XeyZzE03NhvjLkZyKWocsCH9Ae4G2G03S13VUySJ5b29wbyr7vJcrEXLVGUJSR9ro68Bi1vLfVyWcHahlwGJiJZ/nioWGemgkxWLBX7mrc2PAFQaPF1aqc0MJzv1R9QvPUm/G22FiYibK68vrbvlbCLRm8QdF/mxz9ZJNLxHzqzM+1Wg2bdtaRSedVTVIRBAHLLvXUSbu9GYOoV8VpgpJZReJZViM3plknnMnz7xMBvjsZJJ6TuKfewufbV+nLncDs7MHkLJ0hnCvUCbZWyLplWSZ+8hSCTod569WUyXqUkgjqNAJ31ln5/EAte2rM+FM5vjUeRGi30X4NwxcEQcDV/DYEjYHIwvOqT2jtPS5sDj2jF1ZVTVIxdnUiOhzET59RR52s8d7VN/gOrzJAd3LxxtVFBkMp/vegj8O+BE69yEc67LxNfhYPAZzND6PRXr15x2MZxgYDONxGWrvKSzTTE5Pkw2EsO7ZXVOcoo+Nm8JrrsOsv/fa1Ri0f7nTz+z01NNtMnFxNciCaxuQ1r31XG4HO6FGaAPNJwvPPqU6iiqdPtfWz1wu3bPAGcDTdj0ZrJbp8mExS3Re5aUcdolbD+RPLqgyrNlKU0mpENtX1sJzwE0pX58RuVLOOLMuc8Cf4/wZ9DIXTtFv1fKbfw73uDKuTB9BozTgbHyiZUUVCaaZGg9TUKRlHOWQXl8guLWPasgmN0VDxfoaDkxhEPa32q+WeFp3Iu1sd/HGfB7sA5kYrvkYLF4Ibt/YU9TYcTQ8gyzlCcwdUndA0GoEtu+rJ5yQGz1bPjhXqZCdSIkFyqLrHeF/BXElNQ9eNbNaJpLN8fzLIdyeDJPIS93ut/MlALd7kcfKZVSw1OzDa2ku+9uKpFSRJLhT0ylMXxTVkqXIym4rMkpVy9LpKG1G1W/X81Z39PNxoIw84NtVwJJMjvAF3yCIsNbvQW5pJRcZIhtSJDdbXz+K/wS7pWzp4a0SjUjlGIjT7C1XWj0aTlr4tNcQiGSZHqmdjukYvuoYGkucvqqJOttb3A+osYovH4teT945k8vzbRJCfzIbRCPDeVgef7HbjMWgKHat5nE0PlsyoAC6cWkaWlaxbzcK07qq8MAOpEP5UgB5nO6JQ/vFrNOtoXE0THQshCfDkVIh/OT1JcoM+6CZHn+Iul1gg7lepCtnqQacXuXDKR17F5xXtTOMnq9dGXEZloMBYaIq8moYur5VkOs+yCg7+WjEUTvF/vzzI+VCKFouOx/s8vKXBRj65QNx/AlHvxNZwd8nX5rKKK6PRpKVnU/mGszXKxFKdMhku0I59FVwERY3Afo+Z4NFlhGiGiViGLw/5OLWa2BANKQgCzuaHETQ6wgu/Jp+pPvFIEAS27inUzzbQMn+9cUsHbwCjra0wpDZAdOVVVa8pdkidV8FrXqY6OVdd3bIWvFXw3q2vc7POhWCSLw/5GI2k6bLp+Wx/LbtqzAiCQHTlCNnUCjWNezHaS/tGZNI5hs/6sVh1dPaVdwYEJXAJWi3mrVsqXndpYVbW7gJMLsRIz8X4o94amsw6jiwE+fKQj/Goeo8bQRBwND2ARjQRWX6FrArzML1epH+bh2Q8q2oak0Kd2DdEnWSkLFPRuarXvp4Wwum8xFMzIf59Ikgyl+dtTTb+oKeGOpMOScoSmjsAKPSTRqMr+R4jF1ZJp/IMbK9FW6FfITU+QT4cqUqZgMJ3awQNXY62itfN+5Kk41m60xLvbnEgyfDjmTBPToWuUi1VglbvwO59C7KUITh/QFXw795Ug9GkZfCMb0N+8NcTt3zwBrA33I2ocxDzHSeTqO6Z7HAp3NzKYlyVpvcSdVI9s2pxNGLVWRgJTVZ9CIrNOrMries6WSdTWJRPToXIyfBIi52Pd7lxFNzdMsllYitHEHU2WvoeKfs+Q2f9ZLMSm3bWIVboKMssLCoqk82bKpoMweWFqEpIZ/PM+pK01pnxWvT8YW8N7+7xEstKfHsswLPzkTVFSjWIWjOOpreCnCc094wq+mTzzjoEQSlcVvsdhYIBlxRPqFKdFH2p1WzwxdPZ5HU+nS0ksnx12M/J1SQNJi1/dWc/d9RZ1xQk0aWD5DOhQuG39BQkWZY5f2IZjSiwqYwBVRHFU4mlyskskU0yE12k3daEUVuZfiueWLu8VvZ4zHy230ObRc/FUIqvDPmY2MAmb3ZtwWDrIBObUSVB1mo1bNpRSyadZ+TCxsyurhfeEMFbI+pxNj8EKN7CauiTrRvIvvVF6uRCdeqkaBEbzkRZTlYvinY2WslL12+yztK6Rek1afl0n4e9nksyKlnKFzIqGUfTQ4hlPJKlgqRSq9UwsL1yF1pxYVZTmUiyzEhoEofeRr2pcofazHICSZLXMk9REHikx8unemtw6UUOrsT5xsgqwbQ6DbTJ0YPJWSxwV7dytTkMdPS6CPiSLMxWP0qvqU5UUCfdznYEBFXUWlOtGYPu+k3WkWSZV1Zi/POIn0A6z111Fv6o10OT7dJzkI7NFoZvuLHX31H2vWYnwoSDabr63ZgtpTNzKFImp1WpTEbD08jIaw1NlXClk6DLoOWTPW4e8FqJZSW+NRbguYWoqk1eEATF0lZjILL4ErlM9ZrVwI46NKLA+ZPVN/jXAzd98M5JsqovxmBtKQjv1dEn3hYb7loTkyNBYpHqO7Rl146C6uRC1Wv7XBvIrK7TsViWZY7543x9xM9qOs8dtRY+1euh9opp3VHfEXIpP2bXVoy28sfSyZEgsWiG3i01JSd+r0esSJmUaMxZj8X4CrFsgl5nR1VN7qWFeXmRtMmi59P9Hra5jMwlsnxlyM+FkLpipsN7HxqthejKq6qsQYvqmnMqVAXGrk6lYef02arUiVlrpNXmZSo6X9UiVtQItDVYWPQnX/NknXhO4jsTQQ7MRzGJGj7e5eahJjvadcM0JClLaP5ZoMgFl//ti3LKrVWMmooqE/OObdUpkzUlUuWTGSiZt9koXtacoxEE7m2w8Qe9NTj1Ii8tx/jX0YCqYqaos+Hw3ossZQirmL5jtujoHnATCaZVW05fT1xz8JYkib/+67/mscce42Mf+xjT0+omrm8U/zzi53+8PMhKsrpsy9Zwd8EatDp9IggCW3fXI8uoatpZa9hRkVkVj8VqJIPXo2iZykv8YCrET2cj6DUCH+108bbmyxclKJO9YytHEXU27N57Kr5n8URSzUEts7hEdmHxulImsM5cv4QEzChq+EC7i/e1OpCAJydD/Hw2TK6KekijNeFoeqBAn1RXn9R5rdQ3WpidCFdt2lGok+1IsRhJFSP0egsWseMqGro6vVZkXttknelYhq+uq398pt9Dt/1qWkKhS8JYa/egN3vLvt/qSoKFmSiNrbaqXkGxk6eB6sVsUAr9BlFPm62y8VwomsYXujQ550q0WPR8us/DJqeR6Xjxb69e9DW5NmOwtpOOTauiT4obl5oN/nrjmoP3c889RyaT4cknn+QLX/gCf/d3f3c972sNfQ4ji7EU/zTs59RqZVG8RqPD2VSkT56tSp909buVpp1z/qpFB11jI7r6OqVhJ105W3IbnXiMbkZDU+SrBIgaux67WXfNRculRJavDfs5H0rRatHxeH8tfY6rg6gs5wnOHQAkHE0PohHL84nLCzFWFpWmHEeVlmO1XCZcUuBUm0UoyzITCzGcVh3uEgGmiJ01Zj7dV0OdUcsRf4J/GVklUIVGMdm7MTn6yCaXVKlPNlLcLn4HG9ngVamSXoOkVJJlXl6O8c3RVaJZiQe8Nj7W5caquzoDTsfn1ugSW93tFd9X7eYuSxLxU5e8TCohWLCA7Xa0IVZxhByZUZRilcyoTFoNj7U7eVeznbQk88R4kOcWKtdKFPXJgwgaPZHFl6qqT9y1ZhpbbSzO3vimnWsO3idOnODuuxX50I4dOzivoonlWnC/18bjuzoQNQI/ngnz1HSITIUMy2BtKahPVomuHK743qJWw6YdhaadKmOw1hp2MhkS5y9Wve8+VwfpfIaZ6HzV9+0sTNYJbkAzKssyx/0Jvr6Ou/xkT81aUfJKxFaOkkv5MLs2l9XrFrG2MCs05RQRP3kKtFos2yqrTHJSnrHQNPUmD06DveK1gUiGcDxb1SUOoNao44/6POx0m1hIKhvZxVDlDMveeD8arZnI8ivk0pXVJO09Lqz2QtNOlTFYiteJTZXqpMPRgk6jVdWss3Y622DwTuQk/n0iyC8Xoli0Gj7R7ebehtKZqpTPEJp7FgBn00MV6ZJEPMvYUACHy0BrZ2Xf9PTUNPlgCPO2bSW9TNZD7eYOMDSt/G7VbGAFQWBfgUJ06UVeWo7zrbEA0TJGaEDhZKrQJ2qGF69l3yq7cq8XrtkSNhaLYV1ntiKKIrlcDm2ZH8jj8aDTlS9qVIIXaLGb+drJCU4GkixnZD69q5MGa+mssK72US4emiHmP05z1+1YKkzheMtDbk4fXWLozCoPvH17yWG6RdgeepDQLw4gDQ7hfdc7yt+v18v+3C5eWTzBYs7PHd59Ff++7X0xTo8FCSZ1bOotf1QtIpXL82/nZziyEMasE3l8ezvb6sovomR0kcXzR9EZ7PTseAztFUVKr/fSZ4aDCSZHQ9R77eze11uRm07MzTMxv4Br7x6aOisXmIZ8Y2SkLDubtlz2eaUwtqRseDv6G6+6ttxrP9PUyKG5Vb5zfobvTQZ5a3sd7+9vRKspnZ9Y9O9n4swTxFeep2/vZxAqaM5vvzfJL396kYWpNHfe31Lx3pN33sHSLw5gDgShubni3zpQ28PZ5UFMLgtOY/kNzQs01AwzvZygoaFBlYfHZCjO109OEkhlGKix8Yc72rEbyq+/2eGfks+EqGu7h5bu8gOBAV54ZhgpL3PHfb00NpZWoqzdxy8OANDy4AO4q/zuM9PPAHBnzz68zsrXDj81gSDAbTu6sJiqxxUvMNDaxLfOTnNyOcTXRgJ8akc7A57S37vc0MBYaprI6gh6eR5P496y791Q38Dxg4tMDAV55AO7sNqvjkvVnvlrwTUHb6vVSnydzaEkSWUDN4Dfv/EBwkV4vV5y4QC/1+HgwLzAUX+C/+fgIO9ucbDNXVotYfPez+rkDxk7/R1quz5a0Zi/e8DN8Dk/R14ZpL27vJ5ZNhrQ1tayeuwY89PTJSfseL1eFhcX8chOBODE7FnucFemFDxWhVo5cWGWzrrKC3M5meXJySD+dJ5ms44Pdjhx5hMsLpY+ssmyhH/8u8hyHlvD/fj8ISB01f0WceTFWWRJpn+7m6WlyuY7wQNKpqbdvOmy9yiFQ1PHAGjS11W99sTFWUD5XtZfe+W9XokOET7VW8OTk0Gem1phcCXIB9uduAylnstajI5e4qERxs7/AqunvFGSt02PVqfh8ItjtPeaKhrxC3298IsDzPzyOZzbtla83zZzI2cZ5ODwEXbXVT65tNaZODqY4MzFSerLPPOgnMhe9cX55UIUSYb7Gqzc22AhHvBTTs+UiS/gn34ZUe9EY91e8Z5zOYmjBycwGEXqm7UVr5VlmZWXDyIYjaTqaqtee3bxIjadBW1CYDFZ/lpJkhmZCdLgNhEJ+YmEyl56Fd7jNdKgtXNgIcLfHx3j3gYrbylzGjF67iEanGRm8Cek8g5EXfkO4/7tNbzy3AzPHzjPnrsu5+urPbfVUC7wXzNtsmvXLl56SbFTPH36NL291Uc7vVboNALvanHwaLsSGP9jOsRPZkrTKAZrG2bXVnIpP1HfkYrvu2VXgdesUnQQBAHrrh3I6QzJC5VbaS06E81WL5ORWdJVZua111vQCJWLlsUW968P+/EX1CS/31ODU19FCeI7Tja5jMm5CaO9cnaczeQZOuvHZNbS1V96Kvx6xE+eAlHEXIUyAcXLQ0Cg29le9dqJxRgajUBr3cb9KupNOv64z8N2l4n5gmxysAyN4mi8H41oIrp0sKL3icGopW+Lh3gsy+Ro5Uhh7OlGY7OSOFWdOtlIq/ylwnZ5SWkiJ/HdySDPFNUk3W7u89oqDneWpSyheSU7djY/VLYZp4jxwQCpZI7+bbUlp8KvR3pqmlwgiGW7Ms+xEpYSPiKZmCol0sJqklQmvyGnySIEQeC2Ogt/UKAYX1iKlaVRtHo79oZ7kKU0oflfVaRPejbVYDCKDJ7xkctev56NSrjm4P3ggw+i1+v50Ic+xBe/+EX+4i/+4nreV0VsdZn4dJ8Hr0nLidUkXx/2l1Sj2L33IOpsxFaOkk2WV5S4a000tdlZnIvhX65cdCjqeWMnqxe7el0d5GWJifBMxesMepGmWjPTy3FyJSaYF9UkP5kNI2oEPtxRWk1yJbKpVaIrr6LRWlRNlRk+7yeTzq/5v1R87+UVMnPzmDf1I5orqw1SuTTT0XlabY2YtZULoNmcxMxygtY68zVPGDKIGn6nzcF7Wx3kJJnvTgb5+VyY7BWbvKg142i8v+B98mzFxbmlMIDi3PHKRvyCKGLZsZ18NErkYuUNvsnagFlrVNXQ1dmobGTleG9FTeJnKJymw6rn8X4PXbbKTS4AkeVXyaWD1LXeicFSechvsSlHEBSPoGrYSDG7yP2r0XcXZbXXYkZVRHNBjdLvMDAZy/CVIX9JNYrZvQ29pYV0dKKi94lOL9K/rZZUMsfY4I1p2rnm4K3RaPif//N/8r3vfY8nn3ySrq7SLdavF2qMWj7V62F/rZmVVI6vDfs56otftgg0ogFH04OARHDuGeQKXhJqiw76lma0Hg+Js+eRMpUz6g0pCrxWcnmZmSsq1rNxZVEWfSc+0+9hoMyUkvWQZYnQ3DMg55X28DLeJUUUm3JEUajalAMQO6V+YY6Hp5FkSVUhamYlTl6SVRUrK0EQBHbVmPnjPkXrfsSnnFp8qcs3eaOjF6O9m0xinvhqeZWI3WmkrduJbylRtSu3+J34X6ncb6ARNPQ4Owimw/hTlX12mmvN6LTCVaezvCzz/GKU/zO6SiSb574GK7/X7cZWQk1yJRS/lxOIegeN3W+vev3CTJSAP0lnnxurvbJFryzLxE+cQjAaManwsx4Nqi9WTqoce1YNZq2GD3e4eEeznVRe4onxIM/MRy6TnCrqk4cK3ifPk8+W/+0376xD0AicV9GVez1w0zfpVIJWI/DOZgcf7nCh0wj8bC7CdyaCxNYdgYy2dlX0SXOHHafbyMRQgESsfFBWVCc7kNNpklUyq057K1pBXPPzqHht4QhYfDDzssyvF6N8Y2SVUCbPPfXqaJIiYr5jBbpkAJO9u+r1MxMhIqE03ZtqMFXolisifqJImWyrem0xq+pTo+++omvutaJIo+ypMbOcyvG1ocs3+eLoNI1orEqfqNX0mnp70FitrL56GFmqfITuVUmdaEUNbfUW5dQEjgAAIABJREFU5nwJ0gVZazCd419HAzy/FMOu0/DJnpqqNEkRspQtqEtknM0PI2qr+6UXPbu3VBiDV0R6eoZcIIBl21Y0VSiTvJRnNDxFrcmN21hZvQIwvhjDbNTi9VROSNRAEARuq1W6TGsMIodW4vzTFSd5rd6xjj4pbx1rsenp7HMRXE0xP61u0s5rwS0dvIsYcBr5bH8tnTY9I5E0Xx66XC62nj4pZx0rCAJbdtcrGejpylagam1i9aKODkcL8/ElYpnK7e/rOy39qRzfGFnlhaUYNp3IJ7rdvLXRjqhyUkg25btElzTep+o1xYBUTbcLkPX5yMzOYervQ7RUH+Y8EpxEp9HSYa+s1ACYWFC+p9eaVa2HXiPw7lYHH+pwoi1s8t8ev9R1J+osOBoV69hgheadhmYrnnqzMhIuVF7rr1An28iGQqTGKwflor+32tOZLCs+J8f9Cb485Gc6nmGz08hn+mtp38DAisjyIXLpAJaanVXpEoCgX5mUU99UeVJOEcXpU2pOZjPRBdL5zNowk4rvm8yxHEjR2+JStUmphdesuCmubfLDfg6tXLLiVeiT1qr0yY1s2nlDBG8Au17k411uHm6ykc5LfG8yyA+mlKEDCn3yEIp17DNlm3d6NrkxmLQMnl6p2LSjb21B66lRRZ0U3fNGw1MVr6tzGrCatEzLEl8Z8jGXyLLNZeQz/R46VHCXRchyntDsAZAlxepVrE6x+JfjLM3FaGq341aRzcSLHXNVvEwAwukoi4kVuhxtaCtoh4uYWIxhN+uocWxsco4abHKa+OxALT12A+NRxUL0ZMFC1OTsw+joJVugEkphzQpUhgsnKy/OtYadKhu8x+jCbXAwGppEqtLQ1dloRWMQedof5z8LFr/vb3PwwXbnVWPrKiEdnyvQJS5sDXepes35k9UHchSxNpjDaMS0uTplMrKRk1mBNuprr+xyeS3Qixre3ergI50uDKKGZ+ajfGN0FX8qdzV9UqZ5p7bBQkOzlbmpCEH/xj3oN4I3TPAGxdfgzjorj/fX0mzWcS6oTAU5E0hgsLauNe9Ell8p+XqtTmTzjlrSqTyjFZzC1hp2VFAnl47FlTOr5WQO5+46xBYbeo3AY+1OPtDu2tCiBIiuHCabWsHk2lxVXVKEWo+KImInToJGg3l7dcpkbWGq4DKD0QzBaIaOxo3NI9wI7DqR3+10rVmIPjUT5l/HAqymcwp9ojUTWT5U1vuks9eFxapj+JyfdIXBwKa+XrQ2K/FTpytSJ4Ig0OvqJJFLMRcrL82UZJmQScRzWwMhjbBm8bvdbd7QdyXlM8rmjoCr5eGq6hKAZDzL6IVV7E4DbV3OqtdnZmbIra5i2bqlKmUCio2EAHQ72qteW6TV+tuqq6GuFf0OI3/S72GL08hsPMtXhny8tBQDra1gHZsunNBK0yc3qmnnDRW8i6g1avnD3hoearSRyUv8cDrMN8cCpFx3IOqdxP0nSMdLeylv2lGHKAqcqzJpR+1w4habF5NoWPP1uBLJnMTPZsN8ddhPziCSXIzzFoOOza6N83mZxELBu8SOw/sWVa8JB5OMDwVx1hhpbq/c+QiQXfGRmZnFNNCPaKle7R/ZgIrgkp/J9Z+0vR6CILDHY+ZPBmrptStqgy8P+njRl8PsLVjHzv6iZIFbIyqj9LJZqeIoPUEUce/fTz4cqU6dFE5n5Xjv2XiGr4+s8oI/gQCkx0J8rNNVtpu2EiJLL5HPFr1LKjfYFHHxjI98XmbLrvqKTWxFFK2Tq03MAUjnM0xF5mi2NmIp43C5HmuZd9v1z7zXw6IT+WCHiw91ODGKGp5bjPKVIR+L2h4Mtk4y8ZmyBe7WLid2l4HRi6sk4tU9ma4Vb8jgDUoWfle9Msqp32FgKpbha8MhDuveRkI2Epo9gFRCf22y6OjeVEMklGZmvLymV9/airamhvjZcxWpk6KiYDUVwp+81Iqdk2SO+uL846CPo/4EboPIfTYD4YsB5pY2bg8r5TMEZ58BZJwtb6voXbIeRw9OIksy2/ao69wrSiSrTf8G5fg8HJzAojPTaKme1V/vYmU1OPUiH+108cF2ZYG+sBTj63M2pk13kkmuEF05VPJ1xcED508uI5WQdhZRe/edQPXhxL0F7fuVRmahTI4fTAX555FVFgo0WuNKkuB09JrmnqYi4yQCZ9EaPVW9S4rI5SQunlpBbxDp3VJ+Uk4Ra5SJwaBKZTIWniYvS6ooE0mSmVyMUe82YjNff1qtFDY5TXxuoJb9HjOr6TzfHg9yIHcnIaGWyNLLJU9oGo1ieiflZS6+jpN23rDBuwiXQctHOt18pNOFyyByIizwXek9HE61sDz3YsnXbFUxYHQj1Mna0NngJJIsczqgzJP82VyErCTzYKONz/bXcnurA0G4NgOiyNJL5DMhrJ49qgpQoEzKOfHq9Jq1pRqsqUxUUCYryVXCmSi9zg5VxaWJxRgaQWlaulEQBIEtLhOf31TLPfUWEjmJX0Rb+aH0Ds4tL5KKzl71GoNRS99WD/FolvGh8uoUx9YtaCwW4qdOVaROrHoLTZYGJsKzZPJZIpk8T8+F+ceLPs4FUzSadfxBTw0faHfRXX9tLpT5bFxRlwgirpa3V/QuWY+xi4qny8D26k05AJmZWXL+VczbtpTsQL4SpYZRl8PiapJURqLrdT6ZXQmTVsM7Wxx8us9Di0XHUDTHk9kHeCG3m9mZ50ue0Ho312Awabl4eoVsRp3n/Ebxhg/eRfQ7jPzJQC3varZjELWckLfyL4E+fjo+SeiK4qSrxkRLh4Pl+RgrFRaJdY9yLKymOlEsULUcW03yj4M+fjQdJpLNc1utmf+6qZa7661oNQJGvUiTp3yzTjkkI2OXMqoK5vlXYuisn0w6x+Zd1ZtyADLLy2Rm55TGHBUqk+ENeDPn8hIzy3Fl+MA10AGvFQZRw1sb7XxuoJZtLiN+2c4B6W7+aTzBKf/VDT7KsF04e6x8044gilh27SAfiZIaHav4+X2uDmTByvcmF/n7iysc9iWw6kTe3+bgj3praCsoSa5laLUsy4TmnkHKJ7E33I3OWF3HX3zd2ePLaDQCm6tMyikidlz9yQyUZ0Sn0dLpUKFEWryxJ7Mr4TXr+MOeGj7c4cJj1DEkd/Ht+O18b3iMhcTl9IhWJ7Jpu1I/O32s+ri7a8FvTfAGZRrLvloLn99Uy1vrtOjJcSxi5O8vrPCd8QAXQsk1gf7WvYXs+2j57Fvf2lpRdSLLMjPxDEf9WhzWjxLIdRHO5Nldo2R672h2XGXN2dloIZuTmfOps5fMZSLKZBxBxNXyDtUZVT4vcf7EMjq9qKopB9bJv1QuzI3w3cooOPmaWp6vJ1wGLR9od/G5gToGTDECspUfzyb40vllDsxH1pp8bA4DnX1uAv4kc1PlNb3VZKUZSeZsIMlsagCb5YOMRXU4dCLvbXXw+U1KQXL9qaWlzoxW3Njc0/jqKdKxaQzWdiw11XnoIqbHQoQDKbo3ubHYqmfRSmPOiYLKZFPV68PpKEsJn2ol0vgNptVKQRCEgjTZw/tarDiFOIMpO18b9vMvI36O+xNrQ7KV8YECR16aqFg/u1ZcszHVrQyDqOGeplp2mnwcnz3DeTYzHIHhSBqTKNBtN9Bl1WNvsjA5GiQUSOF0Xy25EwQB6+5dhA78ksS5C1h37ySRzTEcTjEZzTAYThEsaok1AvHUcX6/bxf9rvIV+06vlZfO+JhYiNHeUPkhlWWJ4OzTyPk0jqa3ojNWHi22HhNDQeKxLPvv6ag6KaeI+ImC/asKyiQvS4yGpvAYXdQYqysUboaFuR61Ri0f6utifOw/ORu3MSz388pKnFdW4ngMIv0OI3XbPIyOBjl7bImWjtLNJcaebkSbjfip03geexQ0GgKZPFOxDEOhFOPRNDkZQCSXW8AqLvC5Te8qq+nXaTW01luYWoyRzuSrnlIyiSUiSy+jEU3KZByVyhRZljlzVFG/bNvboOo16clJcoEg1tv2qVKZXJIIqlNFTSzEMOo1NNa89uac1wqNILDTY2OTOc7psec5K29iJl7HTDzMz+fCdNsMdNkNNO2oZe60Mi9A7TpTi9/K4F2E1TXAjtgUfeGfkXDdzri4mXPBJOeCKc4FU9DvRGy38a8jq/Q127DpNJi0GoyigCxDVpJJbNnDfDBHIgzRQR/+1CLFPVavEdjuMrHVZSSaHufbQ6eYiTrpd5WfErL+WHx/lQQ3unyIbGIBo6MXs6vyCLL1kGWZs8eWEATYf3cnyXT1EU6ZpSUy8/OYt21FY6q+eGai86TyaXZVccsrophJ/qYz7/UQBA0dbQ9gHXuCvfmL+BseZThuYDSa5uBKoah8r5eVWI7QoJ86hx67TsQkahAEmJMD+EJplh58hODyKs+fX2BJ0JHMX8rCao1aBhwGdrrNfHf4l4yGp0jmHsCqK09LdTVamViIMbUcp6+lvEJIyqcIzvwM5DzOlrcj6tTXEpbmlYEcbV1OXCqD5SXKpLKlbBEb4bvjqRxLgRT9rXZVipcbBYO5gc2NfbQs/oq0tZtZy32cC6YYjqQZjqTBqaPu7W0IrwMV+FsdvAVBwNH0AJnkMubwq9zTWsNDjT34UjnGomnGIxmmMgkCeg2v+sopQDSwU+GZ9Zkc3S4rTQZot+ppsejRFR60eLYDAeWBfaj17rL3VOcyYjGKFd3jAFLRSWK+o4h6B86mBzek9Z2ZCBPwJ+kacON0m0kuVg/eG6VMNsJ3g5J528xaPA71DUk3AqLehrP5bQSmn6Ix9DTbuz9KTnAyEU0zHcswHkiybJYZTmUZTl0pCyuolWo7lP8kcOs1dNt0NFn09DkM1Kyzq+11dTAanmIkOMmuus1l72n9ZJ1ywVuWZUKzB8hnI1jr9lcdwHElzhaz7n3qtP+yJBE/cUoZMjxQeWJO8f6GQxNYdRa8lup8+uTizbe5F2Gp2Uk6NgPRMXZYarhn4E6C6RyTsQwT0TQavYHXY7v5rQ7eoJhXudsewT/274TmDuDp8lBnclNn0nFHHQwl8rz4qxna9tbRvrWWVE4ilZcRBMWiVqcRkI8eRXzmaVo+9AH63vbukt69Fp35MotYg1iaQxQEgQ6vlfOTYSLxLPYSPiO5dJDgzNMFnvudqmWBoCya04eV+9uxT51BvCzLxI4dR1AxMaeIoeAEAoIqo6FAJE0wmmF7t/N1a855LTDaO7HW7iXmO0Zo7gCu1kfodxjpdxiRG2386ImL+KIZ7v6dHvIGkbQkIctgdziIRyPYRIH4V76CORKm92/+R9khvH2uTn4+9TxDwfGKwbtLxdDquP84qeg4ekuLallgEQFfkpmJMPVNVhqayntYr0dqfIJ8OIztzturTswBWCxYwO6u3aJOibTmJHjzBW9BEHA1P4xv/N+J+Y6gM9fjsnfjMmjZVWN+zX7e5fBbVbAsB53Rg7P5IWQpS3DmPy/Tf/dsqsFq1LJ00keHQcuOGjO31VnYX2thV42ZrS4T/dv6MCXjJE6Ubqsuos/VSV6WGKsydPbS4ry6BVfKZwhM/yeylMbZ9Fb0ZnV8ZBGLs1HlONztxF2r7jicmZsnu7SsmjJJ5lJMR+ZoszViVtN4sUaZqAsUvwnY6u9Eb2kmFRkjtm68niAI7NzvRUzm8Z/xs81tYq/Hwr5aC/e11bK7xkyv00RLVyu6UIDk0HDZz2ixerFoTQwHJyq60jmtemrseiYWYiWvS0WniCwdRKO1KEXsClOCSuHMMSXr3q6S6waIH1Oe/Q2fzFTy3ZdqIjdORroRaLQm3K3vRhC0hGafqTpe77p85uv+CbcITM5+LDU7yaUDShGw4DMhajVs2V1PNiNxsYxhld7bgL65icSFQXKx8tlQtU66IroK2c6VmZUi+TpALr2KpWYHZlf57KwcTh9RFuaO/eoXZuzYcQCse9VxmaOhKSRk+l3qbILHb+IjcRGCoMHV+giizk505VWS4ZG1/9fe48LpNjJ6cZVouLRhlXXvHgBiR4+X/QyNoKHX1UkoE2E5WXnyVGejlVgyx8oVBlnZ1CrBmZ+DoMHd+siGeG6AcDDF+OAqLo+J1q7qDn8Acj5P7NQpNDYrpj51Q1mKHcdqgvf65hyripFnvynoTLU4mh5ElpQES8pXHlT+WvFm8F4Hu/ce9FbFOSyy+MLavw9sr8VgFDl3YrmsYZVlzy7I51k9fLTs+3cWh85WCd7tDcpknSuDd3T5EKnIKHpLM3YVwxWuhG8xzvx0hMZWmypnOChwmccL8q8t6jaLocLfpzp4zyuTc9puYHPOtUDUmnC3vwdBoyM0+8zagA+NRmD7/gZkSSkEl4Khox2tp4b46TMVO3L7C8FsqNoGX0LvLeWSBKafKpzKHkJvUdf+vh6njywhy7DzNq9qCis5MooUjWHdubMsJbQeGxlGDcXJOdJNvbkXYXYNYKnZRS4dIDD904ozBF4r3gze6yAIIu7WR9AaaoivnibmV6rneoPIlt31pJM5LpRpdy1W2P0vHyz7/lqNli5HG0sJH+F0aVcyAKNepLnOzPRSnGxBMxpfPU3MdwRR78TV+i4EYePV69NHC1z3fvXDUNMTivzLsmO7KvkXwHBwHKNooNVeXlVTRDYnMbvy2ibn3EjojLU4W96OLOdYnfoxuYxS7O3ud2Nz6Bk+5y/pBy8IAta9e5DTaRJnz5d9/0uns/GK99F5BbUmSzkCMz8lnwljrd2P2VW9Nf1KRMNpRi+u4nQb6ehV7x0SO6rMJ7WoPJlNRmbISFn63eo3d4Bulfz7bxp27z0Y7V1k4jOE5itPaHotuPlXyw2GRjTgbn8fGq2FyOILa8fjLbvq0BtEzh0vnX3raj0YOtoJnT1HLly+aaOYjQ5VWZxdjcXJOnGS4VHCC79GozVT0/E7iNrq3Y1XYnUlwdRoiNoGC42t6hfBGmWyb4+q6/3JAP5UkF5nB6IKrnV6WZmccytkVUWY7N3YG+5FysVZnfwP8tk4GlHD9n1e8nm5rK3CGnVyrDx14jI6qDd7GAtNkytjXQzFyTqaAu+dJzDzMzLxOYz2ng112a7H6aNLyJLMztu8quV4UiZD/NQZtG4Xxi51/PVgQHn2+1Xy3WOFDepWeUYEQYOz5R3oTF6SoUEWxg68Lp/zZvAuAa3ejrv9vQgaHcGZp0mGx9AbtGzZXU8qmePi6TLZ9769UKAZymGgkG0MVgvehSxjaXGM4OzTCBod7vb3odVXb3gphROvLACw+85G9Y0a+Tyxk6cQbTbVXObQRgtR8zdXc45aWGt3Y63dTz4TZnXqh0j5FL2bazBbdQye9pV0k9M3etE3NZE4f4F8vHwHbb+ri4yUZSJ8ta9KEVpRQ3uDhQVfAv/0L0hHJzBY2xTfkmtQ7ISDSUbO+bE7DXSqGD5dROLseeRUCuu+vQgadeFkKDiOVhBVWcCC8oyYjSL1JRrlblZoNDrc7e9B1DtZmvwVUr70EOzX9BnX/R3fINCb6nG3vw9BIxKc+RnJyNha9n32WOns27pnF2g0RI+U572LPN9wcKKi+X5Xo5UeT4BWrWKe5Wp9BL1Jneb2SvgW40yPh6hvsqqyfS0iOTSMFI1h2aWOy4RLxVi1fPdv2q/itcBWf4fiEZ/yszr5IwTS7NzvJZeTOHOktDTMum8P5PPET50u+75rvHeo2unMwrs2j5GNjqA3N+Fqe7dqe4Qrcej5MaQNZt0AsaPKs27dt1fV9eF0lPn4Mp2OVvRidRouHM/gD6fp9Fqv6+ScGwFRa8bT+RhdOz6paijKRvFm8K4Ag6X5sgAupSfZsquukH1frTwRbTZcu3aSmZkls1B68QqCwICrm0QuyUx0oexnm6RpPrRzEEkGd9t7NtxksR7HX5kHYM8Gsm7YuMokL0uMhCbxGF14TNU5U1mWGZ+P4bTqcKvwzrjZoMy/vB+TcxPZ5BL+ie/TPWDAatdz8YyPcPDq7NqyR/kuK1EnXY42REGsWNiWpSw7ao6xq3mZeN6Fu/29qgYrlEIklObE4WnsToNqd0mAfCxG4vxF9C3N6BvV1VGKf9OAu/pcVbj1+O4rIeosOOuq+7xcC94M3lWwFsAFkeDMT+nqmEVv0HDm6GLJSSq1994DXCrilEIxKy1FnciyTHz1DKHZnyOj4d9ObCaa35iWez2W52PMTUXwtthobFWfdUupNPFTp9F6ajB0quuSnIkoLfF9KrNufzhNJJGls9F6UzbnqIEyHuvhgsx0leDU99lzuwUpL/PSL0evul5X48bY3UVqZJRcsLRfvEHU0+loYS62RLTE7FMpl2R18ocYpWmmAnaendizoUatK3Hi0DxSXmbPXU1oRPUhIX7yFEjSGpevBsVnXrUS6Sa0TbhZ8GbwVgGDpRlP52NodFYSq4e4665psunsmnHPerj370UwGokdPV7Ww7nX1YEG4aqipSxlCc0/S3jhV2hEA7P5B5gOOip20lXDWtZ918ZkY/HTp5HTGaz796nmMi8GFdtT1YWoQlbVc4tmVUUIgoDd+xZs9XeRz0axap6hsyvM6WOzhINXc53WfXtBlitu8AOF4HZl9p1N+fFPPEkmsYDR0ceB8T0Mz6Wv2bVu1Zdg7GKAhkY7nX0bm04TPXIMCioaNZAKLfEOvQ2vWZ2T5fhCweO94eaWkf4m8GbwVgmdqY7aro+gMzVg0k5y1x2nmR4ZI3bFRBPRYMCyczu5QKDs+Cuz1kibvZnpyDyJrDKkNJcO4h9/kmTwAjpTPZ7u36XJ2w5cOjpuFLOTYRZmojS321W3ORcRffUIALbb9qt+zWBgDFHQqGqJBxibV1QEt+qReD0EQcBWtw9n88Mg5xnoPsOmvhFOHrq66GjZswtBqyX66uGyMrJiZlrcEGVZJuY/iW/sO8rUd89uXC3voLPRTiojMe9XZyF8JY6/rGzu979zYEOnn6zfT3p8AmNvD9oKLpnrMRdbJJ5N0O/qUvVZ2Zzi8d5S95vxeL/Z8Wbw3gBEnRVP56OYXVuwWWPcvvckU+efvWoavW3/PqAydTLg6kJGZjgwSmTpFVZGv002tYLZtQVP52No9Xaa6xQ5WKk2+WqQJJnDL8wqzoH3qpusU0QuECA1MoqxuwtdrTqb2UgmxmxskS5HG0atuiP82HwMg05Dc93GpY83K8yuzXi6P4rWUEN76yKN7l+xPD14WZAWzWbMO7aRXVomPVXaKqHRUo9Db2MoMEYm5Scw9SMiiy+g0ehxtb0bh/deBEFY2/hG5za+wS/NRZmZCONtttLVpy4TLiJ2RHm21RYqQdnc4ZLiqhqUoSTymvLqTVyOawre0WiUT3/60/zu7/4ujz32GKdOVR7C+0aCoNHhbH4IV9vvkMkacdtGWBz8BjHf8bV2WGNvD6LDQfz4ybLddAPONrbrtThWXiDmO4JGa8LV+i6czQ+tKQa0ooaOBgvzviTJ9MY6tYbO+Aitpujb6sFdu7HgGD18FGQZ6+3qs+6hgnZXbSEqlsyyuJqks9GKeBNZfF4P6Iw11HZ/BIN9J1ZLgnzkF6xO/oBMfGEtiNtuvw2AWOGEcyUEQWCXs5W36CV8o0+sDVOo7fk4Jvul77i7uWilsLENXpZljryoTHjZe0/zhrJuWZKIvnoYwaBfG8StBkPB8YJZ2cZkpG/y3aVxTbqib37zm9x222184hOfYGJigi984Qv8+Mc/vt73dlPDZG9H63qU8QvP0962SGTpJaIrh8mGd5AX3Fjv2kn45y8QP3UG2/69yLJMPhsmm/SRik6gCw3zNouRvJzDUrcPW93+kmqBriYrI3NRJhZjbG5X5zWRTuU4cWgBnV7D7jurdzmuhyzLxA4fQdDpsO5SvzAvBpXi3Ca1KoI3eCFK0OjYcttH+P43nFgNZ6ivm8M/8T1EvROToxdDWyeix0ns+HHcj/4OGp0OWcqRy4RIRSdJRybYm51HMOhIaow0Nj+I0X413VDnNGAzaRmdiyLLsuogPHphlZXFOB29Luo3+BukRsfI+Vex3nEbGqM6CVwyl2IqMkerTd2UeLj1mnNuNK4peH/iE59AXxgums/nMRhuLg/mG4WWTg/nT+7guedbeOChDHphiNX5gsa7HQyfaifKyySGTiPl08jSpSxc1DkYzgscCMzzmc4eHGVkXorT3iJjc1HVwfv04UVSyRx7727CXMJSthLSk5NkV3xY9u5W5SAIikRwKDiB2+Cg3qSOZlmTgDW/sY/E2+/YxH98U6K+Psptd0TJxBQf9pjvKLrH3MhpieXBfwZRRpbWGxkJ6ExefuSfIqa38d8cpTdFQRDobrZxajRIIJKhRoUfejqV4+hLc2i1Gm57S/XZkVcieuhVAOx3qLeaHQqOIyGrPpkVZaQumx63/bczvlRD1eD9gx/8gG9961uX/dvf/u3fsm3bNnw+H3/2Z3/GX/7lX1b9II/Hg06lN0YpeL3q/ThuJN77YTtf+18vcugVG4//2V+Qz/qIBcaJBieJTFwkn02js2jQmVyYbF7MtkYsjlasrg5iM8eJHf4ms9kl9nh3lHx/m9PDl58aYcaXUfUd+JejXDjlw+Ey8eA7t6PVVS/0rH/fsR//JwBt73g7LpXf+ZBvjGQuxd1t+2hsVKdqmV4ZQ6MRuH1HF2aj+ufiZn0OyqFvoJ3b70tx8LlRfOGd3PvgJwj7hogGx0kGFoisjiDb0hitdegMNnQGO3Z3D/bafnR6Kz95/h+YXRnG5LLgNJaWeu4aiHNqNIg/LrKlv/r388xT50kmctz/jn56+trW/l3Nd5uLx5k6dQZjo5f2u+5Unen/cEZpEX9L7+143dU/Z3Y5SiyZ496dzWXv61Z6Fl6Pe60avB999FEeffTRq/59eHiYP/3TP+XP//zP2bdvX9UP8vsrW1xWwutlZn69sH1fPSdfXeQXT53hfR/eRyQuYmnoRZpy4fvutzG/fTPu9zzRvN/OAAAgAElEQVQCgAzE0hBbWqZB8CAgcHj6BLe5tpd9/yaPiaHpVWbn5tFW0OHKssxPvzdMPi+x755GfP7Sbfzrsf67lVJpVl58CdHpJFlfR0rld/7SpOJv3WZU9ztlcxKjs0Faak2Eg36qz/G5+l5vBRTvt3uTlZOHdRz69RjeVgMOVy06Zy06J0S//79ITU9Q98VPonUqqo0M4F+NAlG6LC2cZ5gXBw+xr6H0M1JnU3j04xfm6GusvKRXfQmOHZzE7jTQ3mte+z7VfreRlw4iZTKY9+1laam0g+KVkGSJE/PnsOutGFI6VZ9z6Izy7DbXaEtefys9C6/1XssF/msqWI6NjfH5z3+eL33pS9x778atSd9o2L7Pi81h4PyJZZYXL5lSWXbtQDAaib56pKTm26Iz0WlvYSoyRyxbXurV02wjm5OZXq48Gm3wtI/l+RgdvS7aezam2QWIHT+BnEop01BUartBMRoSBZEelRLBqaXfLhWBTi9y+30t5PMyLz4zdZkm23bHbSDLRA8dLvnaTe4e4FJNoRRaCqqkovSyHCRJ5pXnZpBluOP+VkTtxpd/9NCrirb7tuoJWxHT0Xni2QSb3T2qW9xHC39LT/ObfHc5XFPw/tKXvkQmk+Fv/uZv+NjHPsbjjz9+ve/rloJWp+HOt7Yiy/CzH5xdW5wavR7rvj3kQyGSFwZLvnZzTQ8yl2RUpVBsYhmdLb84Y5EMR1+aw2AUueOB1mv6O6IvHwRBwH6Xelc6xatiiW5HW9nRbldi/A2k71aLzj43Hb0uludjXFxnK2zdtxfBYCB68JWSG3y92YPb4GAoOEG+jBeOVtTQ4bWw4E8SL9H1W8S548vK5t7joqVTXf1kPTLzC6SnpjFv2bR2SlCDi6vKxrPZrc7cDJRn3WLS0nATTIq/WXFNwfurX/0qv/71r3niiSd44okn+OpXv3q97+uWQ0uHg64BN/PTQU69esmzxH6nUtSJHDpU8nXFB/pCYKTk/4dLRb3RMpmVLMscfG6abFZi/70tGy5SAqSnZ0hPz2DeugWtS33WfrGw6ahVmcClzsrupt+urOrOB1oxmrQcfXl+rfNSYzRi3beHXCBI4vyFq14jCAID7p41tUY59DTZkLl8OMN6BHwJjr8yj8ms5a4Hr21zjxx8BQBrQeaoFhcCo4iCSK9L3clsNZImEM3Q3XTrmVHdSLzZpHMdcecDrThcJk4dXmSpEGj1ra3KiLQz58iFrvayqDd7qDE6GQyMky8zdcNp1VPrNDA+H0Mq0ZE3eMbH7ESYxlYbvVtqruneI4UhEva779rQ684HlJmMm2vUZVWSLDO2EMXjMOC03npmVK8FJouOOx5oJZ+TeOnAJfrEfu/dAERefLnk64ob44XVCht8YSMsRZ3kcxLPPz2JlJe55+F2jOaNb+5SKkX01SOIDgeW7dtUvy6YCjMfX6bH2a76ZDY2V6BMfotOZteCN4P3dYTBqOV9H1G00c//fJJMOqf4Xtx7N0gSkZeunrIjCAKb3b2k8mkmIjNl37unyUYinWfBn7zs332LcV59fhajScu9b+u4JoMnKZkkduw4WrcL02b1E1gy+SzDwQkazLXUmtS50S36kyRS+d+6rLuIzj4XHT0uluZinDiknNAMzc0YOjtIXhwkW6Kw3+vsQP//t3fm4VGW58L/zT6ZSSaTfU/IzhK2hFUWAQUERdQiWBTb6nd61dpal6vHfvag7dWjrdfVz9P2nOOxelprUXGDilQFQTYB2ddAEkLIvk8yySzJJLO83x9D2JLAzCQwCTy/6+KPmXmfZ+4M73s/93M/9yJXcbKl/+bFGYlhyGRQWtNbeR/eW0drcycjx0WTmhlYPXjrvgNIDgeG2TN9Lg8MF3dmY8777n3hor9bKO+rIZT3IJOaEcXEaQnYLN1881UlkiQROmUycp0O6zd7kJy9i/T33NiFLf0fSl1wnVzycDo6XWz9rAyPW2Lu3emEGgKzZG0HDyF1dRM2c4ZfB5XF5jKcHhd5PlrdAGfOy5+T4nuFw5sJmUzGrIVpGIwaju2rp/yMGQDD7Jneg8tv9vQao1aoGBmRSVNnC40dfUdthWgUpMbqqGiw0+W8uIM7V9LK8QMNhIVrAorpBq9bzrJzFygUhM2c4dfYHnegX8q7xoZaKSflJiqbcD0Qyvs6MHF6InFJoZwrMXNoTx1yjYawGbfhtlqxHe5dSiDLmIZaruJ0a//KO/sK5S1JEju+KMdm7abgtkSSfUzguRLvg/kNyOXeyAc/6LEEx0bl+jzmTHWP8r51rSqNVsn8pVkoVXJ2fFlOa3Mn+oJ85Hodlr3f9rnA9/zGV7O+c5INuNwS5fXeqKTmejs7vixHpZKz4L5MVAEWd3KcKcVZ30Bo/kSU4b4vut1uJ2fayonXxRDlQ313uFg2ITMp9KphsQKhvK8LcrmM+UszL1hXRcebva4TmYz2bdt7VZJTypXXtKxijRoMehVna614PB52b6mkuryd5BEGJk4PPAGg/fgJumvr0OdP9CuCwCN5ONVaikEdSmqYbyn4kiRxpsaCMVRFjA+ZgDczkTEhzFmUjsvpYcuGs3Q5vfVOPFYbtiO9F/gxUdnIkF1deZ/vTXqm2oLN0s3mT8/icUvMuyfD7/o2l9K+w9vNyTB3tl/jStrO4fS4GBPlu9V9s5QJvhEI5X2dCNGpWLQsG22Ikj1bK6lrV6AbN5buqmq6yst7Xd/jejhhKu5zPplMRnZSGG02J9s2VVB8wkRUbAjz7skYUCOD2n9sAMA4f55f48ot1didHeRF5vgcEdDQ6sDa4SI3xTBsmy8MJuk5EUyYloClrYt/fliCcspt3gX+q697LfB6lY7M8FQqLTW0d/UddZSdFIYMOFNhYfP6UjrtTqbNSQnYzw3eCpMdx06gTk1Bk+5btEgPx5u94bHjo3w/R+kJh73ZyyYMBkJ5X0cMRi13PZCNQiFn62dltOR446fbt+3sdW1eVC5ymZzj/ShvgKwkPSnIKD/dSkR0CIuX5aDRBtazEKCrppa2Y8fR5mSjSUu79oBLuOAyifbdZVJS7U1gupVdJlcyaUYieQWxtLU42LylGfnEKXTX1tJ5undewNioXCT6DyvVaZWkRWrR1ttpNXUyZmIsY/JjByRf+45dIEmEz7ndrwXX7XFT2HoGo9pASpjvjUBKa60o5DLSE0TzhWshlPd1JiZBz4IHslAq5ew96qA8bRa2I0dxtrRedp1eFUJ2+AiqbXW0OnqHFHZ3uegotxKPDNRyFj+YE1DI16W0b90GQPid/lndkiRx0lSCRqH2ufECXOrvvjUPK/tCJpMxbU4KE6bG027u4lt3HlZ1BG1fbe117bX83s0NdmItTjTISB0dyfR5KQPa4bjtHVh27UZhMKD3sY9pD6XtFXS6HIyLHunzzqyjy0Vlo50R8Xo0PtTkudURyvsGkJRqYOnKkRiMGs6pMjkRO4f6z7f3um58tHd7eaXrpLHOxrp3TtNQYaFDDuUqGSG6wC1uAJe5DdvBQ4QkJ6HLG+PX2IaOZkwOM6MiMlH62K1ckiTOVFsxhqqINd7a/u4rkclkTJqZRMGMRGx2NwdTl1DUpKWzvOKy66JCIkjUx1FiLsfhuliB0OXycOTbOjZ+UIzkkqjAQ7dRM2DXlGXHTiSHg/D5dyD3s6hczz08Pnqkz2PO1liRJBjpR6/VWxmhvG8QxqgQlj48ioTkUEyhqXzVmMzeL0txdFyMLBgbnYsMOG7ybpmb6m1s/6KcjWuLsVm6yZ+egDYzHJPdSXNbVz/f5BvtO3aC203i0nv9Cg+Ei5Zfnh9RJo1mB5YOJznJYcLf3QcymYz86Ync9UA2Wq2Cc1H5bPxHNWXFrbicF9Pix0bl4pbcFJvLcLs9VJSaWfe3UxzeU4dao2T24nRMXHRRBYrH0UX7tu3I9Tq/E7c8kocTpmJCVToywn3P5iyu8sqcK5S3TwzMfBP4hTZEyeLluRR+tp/jRQ5OnWqnqPgE0bE6YhL0GCO15JgKsFY4+OREIeYmbwq1MVLLjDtTSUw1YD3WyOFSM8VVFmIjfCuEfyVumw3Lzm9QhIURO2c2jS0tfo0/2nwahUzhc1YlQIlwmfhESkY4yx4fx7Y/fUktiWz75zlUajlpWREYwtXoPYlE16dzqNLE0dZjuJweZDIYWxBH/m2JqDUKkg7WU15vw+nyoAqg+BSAZdc3eOwdRCy5G7nWv51SuaUGq9PO9PiJyGW+f39JtRWlQiaaL/iIUN43GLlcxtglkzEc+A2VxNOaM4Pmxg6azsfmqogjEjDLHKRlGRkzMZbE1IvWas+WsqTawuzxgR1GtW36CsnhwLjkbuRq/xJ7GjqaqbM3kheVg07p++JxRhxW+ow2RMXseYmcW/MprbkzqVcmcvb0xQU2nlFIgC5CSWq6kdxxMURGXyzglJMSRk1zB+X1toAWS4/TSfvWbci0Wgxz/K8aeuL8zrHHDegLtk4n1U0d5KaEBbzg3GoI5R0EZAoFkXfdief9D8gLjSX84fswNdmxtnXjUnXx9rkPSIuJY0HBw73GxkVoMYaqKK6y+NX2qgeX2Yxlxy4UERGEzfZvOwxwtMlbPGlijO9+8h5/t0GvIi7A3cKthr4gn8hNWwgt/JxpLzyPXRNJl8OFy+XhYP1JvrXvY+WEReTH9nZL5CSHse1II2dqrAEpb+uevbgtFowL56PQ+xcfLkkSJ0zFaBUan0sEw8WdmfB3+45Y4oJE2PSpKCKM3uzGDivxSWFkj4liVE4i8XEGztrPYe+jxrdMJiM3xYC1w0V9S2cfM18d8+dfIrlcRNyz2O9DKEmSONJ8CpVcSZ4f5T2bzA7a7cLf7Q8yuZzIB5aCJGH+9DOiYnUkphpIzTAyY8JInNpOjjT3rkIIF7NxS6r893t7Ojsxf/4lMo2G8Dv8i0ICqLbV09rVzpioHJRy3yNGemQVytt3hPIOEjKViojFdyE5nbSu33DZZ+OjR+FBunBweSU9BzrFVf51DO9ubMS6dx+q+DjC/Cim30OdvZGmzhbGRGajVfruBy2qFA9mIISMHoU2N4fOU6fpLLkY2x2vjyFBH8vp1rN0uBy9xoXpVCTH6Cirs11W58QXzF9swmO1YVy0AIXBfxfXoaaTAOTHjPZrXEmVBY1KTlq8iO/2FaG8g0jYjNtQpyRj238AR9m5C+/nx+QhAw42nuhz3KV+b38wb/wcPB4i7r3Hr8pwPfRYev64TABOVXobnY1OC6z+yq2KTCYj8v6lALSu33BZ1mV+zBjckpuT/SR1jR7hrXNyto8qg/3hbGyifdsOlFFRAVndbsnD4aZC9MoQRkX4Xt+9zdZNfauDrKQwUc/ED8QvFURkcjnRK7z9QU0ffnyhk0qENpys8BGcs1TT0mnuNS46XEN0uIaSastlLbWuRkdRMfZDR9CkpaGf2Hez46shSRJHm0+hUagvtObyBbdHoqTKSqxRQ7SI7/Yb7Yg09AX5dFVWYj90+ML7+ecX0P5cJz0L5elK3xf4lvWfgttN5AP3+e1SAzhjPofNaSc/Ng+FPy6TarEzCwShvIOMNiuT0KmT6a6qxrrnYredSXHegvc929AryU0Jo8Phprq5/96XPXi6ujC9uxbkcqIffiggv3OVrY4WRxt5kTmoFb4/2BX1NhzdbkYJqztgIu9bgkylwvTRJ7itXks6OiSStLBEr8Ls7t3b1GvFyiiq9K29c9vxE3QcP4E2Owt9vv+LO8DB8/fqpNixfo0rqRKHlYEglPcQIPL+pcg0Glo/3Yjb5q2qNiF6FCq5koNNJ3oVKYJLXCc+HEqZP/snrpYWjPPvQJMaWE3nw02FAEyM9dNlUnHeZTJCPJiBooqJIWLpEjxWG6a1H114f2JMHh4kjvVxNqJWyclODqOmuZN2e/dV5/c4HJS9/meQyYh68DsBLe5d7m5OmoqJ1kaQ5mOVyR6KqyzoNApRv9tPhPIeAiiNRiKWLMZjt9P09t+RPB60Sg1jo3Jp7myl0lrba8zINK8y7FGO/eE4V077th2oYmMw3r0oIPlcHheHmk6iV+n88mWC97BSJoNckZwzIMLnzUGTmYH9yFFsh44AMDFm9PmzkeN9julxnRRdw3ViWvsRjoYGwhfcGfDifsJUTLfHyaTYsX4p/0azA1N7F7mpBuRyEYnkD0J5DxHC580lZPQoOk+dpn3L18DVXSfhejUpsTpKa6w4uvuOKPA4umhe8x5IEtGrHvY7IaeHky1nsDs7mBI3zq/wr44uF+X1NtITQtENoPqhwHs+EvvoI173yQcf4bZYMWoMjIzIosJaS529qdeYnt1O0VUWeOv+A9j2HyA0O4vIe+8JWL5DTd7D9Z571lcKy71F2PLShVvNX4TyHiLI5HJif/AoCqOR1g0bcZwtY2REJqEqPUeaCnH10Zw4Lz0cl1u6kL14KZLHQ9Nf/oqzvgHD3DmEZPtnMV/KvgavpTctfqJf40qqrHgkGJ0mrO7BQBUXS+R99+Kx2Wh86y94nE6mJ+QD8G39kV7XJ8XoCNMpOV1p6dP15mxuxvT+h8g0GnKeeyagCCSA9i4rJeZyRoQl+dzLtIdT5d6FZUyAnaBuZYTyHkIowsKI+z8/AKDxf99GarNQEJuH3dXZZ4u0vHRvkf3C8t6WVcvH6+g4eYqQ0SOJWnZ/wDK1ONooMZ8j3ZBCvC7Gr7E9h2XisHLwMMy9Hf3ECThKz9L0178xxphJmErPoaYTOD2uy66Vy2SMSgun3e7sldDltlhp+J83kbq6iF65gpCE+IBl2t94DAnJb6u72+mhpNpCYlQIkQYRieQvQnkPMbRZmUQuXYK7rY26//cfTFF605+/qTvY69qMxFBCNAoKy9svs6zat+3Asn0nqsQE4v7l8YAtKoD9DUeRgOl+Wt0Apyvb0arlorD+ICKTy4l57Htos7PoOHqcto/WMzVuPB0ux4XONZfSs+u5NGTQZbFQ9x9/xFlXj2HuHMKm+p+w1YNb8rCn/jAahZrJsf4p79IaC06XJFwmASKU9xAkfMGdRCy5G5epBfd/r2GCK4YzbeU0dDRfdp1CLmNUmgFTexdNZgeS203L+k9p+egTFAYDCT95AnlISD/fcm08kod9DcfQKjRM8DNjzitTF7kpBpF4McjIVSrinvgh6qQkLLu+YcLeOhRuiW8bertOenY9p8/7vV3tFupf+5PXnTZvDlHLvzMgWQpbztDWZWFS7Di/sm7h4o4xLyPwNm23MgN6qsrKyigoKKCra2C1pQWXI5PJiLh7EVHLl+G2WJi98SyjyzrZXXOg17U9rpOiwmrq/+NPtH+1FVVsDAk/+wnKSP/8j1dSZC6jvdtKQWweGoV/h52F57wHUaOFL/O6oNDpiP/pE6ji43DuPsD3tthoqzjbq4F1RJiaxOgQSqraMe/ZR+0rr+JsaCD8jrkBhwVeyu7zO8JZiZP8HltY3o5GJRclYAMk4BAAm83Gq6++ijrACAbBtQmfNwe5Tkfzu+8zf7+VtqIttN4fSVhOLgpDGDK5nBxnIwubviX+oyocri70BfnEPPLdAVncPeypOwT4f1AJcLzMq7zHDaD5reDqKI1Gkv7vv9K67lPY9Q0rNndSVf82odMXEpKbg0ytxtXSwix1M+qKXZhLTN6aOvctwbhwwYAVd0NHM2fayskKTyNB71954uY2B41mB+MzjaIEbIAEpLwlSWL16tU8++yz/PjHPx5smQSXEDZtCiG5OZz86G3CjpXR9s57XOhwqVSCy8VEwK7QErv8QSLmzh6Uyn119iZOtZaSbkgh1Y8GsgCObjcl1RZSYnVEiYOo64pcoyF65Qo0eaOofPsvRB2rpPHYmyCXe/+5XPQUZm1OyiH/x4+gihrYjqyH3ecX91mJ/vvML0SZCH93wFxTeX/88ce88847l72XmJjI4sWLGTnS9/500dHRqAKol9BDQkJCwGNvNIMua0IC4b9Yzc/X/iuTKiRmh4/E2daOy2olLDeHQ/JE3it28lLBbSQmxg2KvOv2bQbgwXH3+P337DlRh8stMWN8yqD/FsPpPoAbJ29CQgKnkzx8vv0TFnvSia+1I3k8hCQlok1M5E8HO2jUx3Hv6NH9JsP4I2un08GhvSeJDDGyIO92v2qZAJz9ogqAeVNziIsMLLNyON0L10PWayrvBx98kAcffPCy9+bPn8+6detYt24dzc3NPPbYY7z33ntXncdkMl3186uRkJBAfX19wONvJNdT1qwR49iiO0FGXv5lxaFiqyxIJcXsPHSOxHDPVWboTV/ytjra2F15gHhdDAmyaL//np0HvRUSM+OUg/pbDKf7AG68vOPCR7I+IYwP5G289J2nLqtBE91xjpJCE98ePUtGHz5mf2XdUbOPTpeDuUnTaGrsnSB0NbqdHo6XNhEXqcXT1U59vW/1Vy5lON0LA5W1P8UfkLNpy5YtrFmzhjVr1hATE8Nf//rXgAUT+M6c5KkAbKrceVloYFZSKDqtgqOlZjx9JGP4y/aafXiQuCPlNuR+umDcHokT5e0YQ1WkxolaFTeSEKWWWYmTsTnt7G88dtln47MiADhe1rtKpb90ubvZUr0HjULNzAAOKk9XttPl9DBenIcMCHFSMIxIDk1gfPQoKq11FLZeLM6vVMiZkBlBm81JRX3vCnP+YHN28G3DEYwaAwUxeX6PP1dnw97pYnxmhOiaEwRuT5qKSq5kW/Ve3Jdk5Y5KNaBSyi4cJA+Eb+oOYnPamZM0Db3K/wX6yJlWAPJzBsf3fqsyYOW9bds2NBpxKHWjWJw2BxnwecX2y6zs/ByvZdXzYATKrtoDOD0u5iVP99uPCXD8rNeyE1EmwSFMrWda/ERau9o53Fx44X2NWsGo1HDqTJ00t/XuvuMrDlcXX1fvRafUMid5mt/jXW4PJ8raiAhTky665gwIYXkPM+L1MUyKHUe9vYmjlxTiH5UWjkYl50ipuc86Fr7Q1mVhe823hKp0AYUHgjdEUKOSi9rMQWRe8nTkMjmbK3ddljI/Psu7oJ4YgPW9o3YfHa5O5iZPR6f0v5l0SZWFji43+dliZzZQhPIehixKux2FTM4XFTsubI1VSjnjMo2Y2ruo8aFBQ198eu4ruj1OlqTf4XdSDkBDayeNZgejR4SL2N0gEqk1MjtxMiaHma+r91x4f+z5TMZjZwPze9udnWyv2YdepeP2pKkBzXGk1PvdwmUycMQTNgyJColgWnw+Jkcrey9Jic7P9j4QR874/3CeMZdztPk0aWFJTIkLrJPK4fPfKw6igs+itDkY1KFsqdqNqdPrSjOGqklP0HOmxorF7vR7zs8rtuNwd3FnyoyAFnePR+JYqRmDTiWyKgcBobyHKQtTZxGi1PLZua00n38489K9Fq+/fm+3x826sk3IgGVZi/yOMAFv4tb+0yaUChkTsiP8Hi8YXLRKDfdnLMAlef9ve1xpU0ZGIUlwsKTFr/mKzWXsqT9EvC6GWYmTA5KptMaKtdPFxOwI0XhhEBDKe5gSrgljedZiuj1O3i3+B27Jg0atIC89nPpWR68SoFdjZ90BGjqamZ5Q4Hc2ZQ9VTR00tDoYl2lEpxGNF4YCE2PGkGNM53TrWU62lAAwaWQkMhnsP+278u50OVhbshG5TM4juUtRyQP7/z1S6jUqJuaIxX0wEMp7GJMfm0d+TB4V1lq2Vu0GYGK2f1EnRc2l/LP8a/TKEO4ZMTdgWQ6cVwbTRkcHPIdgcJHJZCzLWoRCJuej0s9pdbQRrlczKs1ARYOdRrNvUSfryzbT1m1hQeosUgJc3D2SxNFSM3qtgpzksIDmEFyOUN7DnAezFhGuDmNT1S4qLDWMyzSiUsrYd7rlmlEnps5Wfr/7z0jA90Z9J6CYXfD6Mg8Ut6DTKkRt5iFGnC6a+zIWYHXa+XPhWjpcDqaO8i6wB4uubX0faSrkQONxUkITWJAyM2A5SqostNmcTMyOFCWCBwnxKw5zdKoQHs5diiR5eKPwfRod9UzMjqTR7OBsra3fcR0uB2+e+gBrt50HsxaTG5ERsAwl1Rba7U4KcsSDORSZnTSFOUlTaeho5q+nPmJspgGVUs7+oqsv8IebCllT/A80CjUP5y4NKO6/hz0nvbXob8sTO7PBQjxpNwG5ERk8kns/Xa4u/vvkGlIzvVmWPQ/MlbQ42niz8H0aO0zck3snt53vgxgoPf7TqaOiBjSP4PqxNGM+46JGUtpewcfnNpCXqaPR7KCyse+M3H0NR1lTvB6NQs2Pxz7id8nXS7E7XBwpNRMXqRVRJoOIUN43CZPixvL4mOUAbGr+DEN6JYfK6unsupgi7ZEkdtcd4neH/odySw35MWN4ZFzg/S3BW2ToSGkrEWFqsoQvc8gil8lZNfJ+0g3JHDMVURnxBfKIBvYVXV4wztRp5pOzX7L2zEZ0yhCeHPcoIwzJA/ru/adbvFUm82JEYs4gIsICbiLyonL5Ud7D/O+pD+iMKUIeVcx/HakgJy6WFkcbDfZmGjtN6JRalmffzaTYscjlA1u/T5SZcXR7mDMhKqAQQ8GNQ61Q8ZNx32NbzV42V+5Ck32MfR0VOE4nkdQQT2VLDYUtJUhAhCacH+Z9l8QBWNw97ClsRi6D6WPEzmwwEcr7JiPLmMaLU55iZ9URvijdT428jJqaMgBUciXjo0fxncy7CNcMjpW87WgjANPHCF/mcEApV7AgdRYTokfzXwfW066r56ipjaMmb6mF1LBEbk+ayoTo0SgH4OPuoarRTnVTB+OzjITrRdetwUQo75sQnSqERZkzKDkaRVF5NY/fPYKR8QmEqfSDum2taLBxttbGmBHhJEQNvO2a4MYRq4viJxNWsfovx0hOVPD0o3lYzO0k6uMG9R7Zff7cZebYmEGbU+BF+LxvYmaNjUWyh1NepsagDh10f+PXR7xW950F/nfvEQSfWG0Z9CgAAApmSURBVKOW8ZlRVNdKuK1GkkLjB/Ue6XZ6OFDUQrhedaFRtmDwEMr7JmZ8lhGDXsXuE83YO13XHuAHbbZuDha3khCpFR3ihzF3nF94N3xTNuhz7z7ZREeXmxljY1CIdPhBRyjvmxilQs7CyfF0OT1sPdwwqHPvONaExyNxR8HgWmuCG0tOchgpsTq+PVFHS3vXoM3rdHnYdKAetVLOHfliZ3Y9EMr7Jmf2uFhCQ5RsO9pIh2NwrO9up4edx5vQhyhFOvwwRyaTcUd+HB4Jtp8/fB4M9haaaLM5mTMhljBd4I3HBf0jlPdNjkatYMGkeDq73BciQwbK3lNeN8zscTGoVeIWGu5MHhmFMUzDNyebsQ/CAu9ye/hyfx0qpYwFk4dPh/fhhnjybgHmTIxDr1Ww9XDDZUk7gdDhcPHZnlo0KjlzJ4rt8M2ASinn/tsz6exys3Fv7YDn+/aUiVZrN7PHx2LQC6v7eiGU9y2AVq3gzoJ4OhxudhwbmPX92d5abJ0uFk9LxBgq4nZvFpbMyiA2QsOOo43UBtiJCXqs7nqUChkLhdV9XRHK+xZhbn4cOq2CL/bVYWoL7GCqtrmDHUcbiY3QcGdB/CBLKAgmKqWCFXPT8Ejw4faqgPugbj7YgKm9i1njYsTifp0RyvsWQadRsmJuGl1OD29vOofH49/DKUkSa7dV4pFgxdw00aPyJmRshpGxGeEUV1ku9Jr0h8oGOxv31mIMVXHvjIHVQxFcG/EE3kJMGx1FfnYEpTVWvjrkX+jggaIWzlRbGZsRfqGRreDmY/ncNJQKGR9vr/IrOqnb6eEvX5Th8Uh8f1EGeq1I3r7eCOV9CyGTyXh4/ggMOhWf7anxucv8mWoL72wuR62Us2Ju2nWWUhBM4iK0LJycQKu1m//+tJRup8enceu/qaah1cG8/DhGp4mkrRuBUN63GGE6FY8uTMfllvifDaXUNvffsAGguqmD//pHKR4JfrQ0i9gI7Q2SVBAslsxIYlJuJKU1Vt7651ncV3GxSZLE9qONbDvSSHyklgdmpdxASW9tAlLebrebf//3f+ehhx7igQceYPv27YMtl+A6Mi7TyD3TE2lu6+K5P+zkVEV7n9fVmTr54ycldHW7eWxRhqhPcYsgl8l4bHEGo9IMHC9r4++by3G6elvgLreHd7dUsPbrSsJClPzLPVki7v8GEpBjasOGDbhcLj744AMaGxv58ssvB1suwXXm3hnJxBi1rPmqgj+tK2HBpARyU8NIjtFhtnaz+WA9R0vNSBJ89440poguObcUSoWcJ5Zm89pHxXx7ysSp8nbm5ccxc2wM1g4nNaYOdh5r4mytjZRYHT++L5sogybYYt9SBKS8d+/eTU5ODj/84Q+RJInVq1cPtlyCG8D0MdGMzk7iN3/Zx+aD9Ww+WH/Z5ymxOhZPS6QgJzJIEgqCiVat4OlluWw6UM+OY018uruGT3fXXHZNQU4k378rHY164LW/Bf4hk64R0Pnxxx/zzjvvXPZeREQEycnJvPLKKxw8eJA//vGPvPfee1f9IqfTiUolsq2GIraObk6WtVBe18652nYUChmLb0tnXFa0KDolAKDD4WTzvkoOFTUSH6VnRIKBzORwRo2IFPdIkLim8u6LZ555hrvuuouFCxcCMGPGDPbs2XPVMfX19Vf9/GokJCQMaPyNZDjJCsNL3uEkKwwveYeTrDC85B2orAkJfWeqBnS6UFBQwM6dOwEoLi7ud3KBQCAQXB8CUt7Lly9HkiSWL1/O6tWr+fWvfz3YcgkEAoHgKgR0YKlWq/ntb3872LIIBAKBwEdEUKZAIBAMQ4TyFggEgmGIUN4CgUAwDBHKWyAQCIYhQnkLBALBMCSgJB2BQCAQBBdheQsEAsEwRChvgUAgGIYI5S0QCATDEKG8BQKBYBgilLdAIBAMQ4TyFggEgmGIUN4CgUAwDBnSytvj8fDiiy+yYsUKVq1aRWVlZbBF6hen08nPf/5zVq5cybJly/j666+DLdI1aWlp4fbbb6esrCzYolyTP//5z6xYsYIHHniAjz/+ONji9IvT6eS5557joYceYuXKlUP6tz1+/DirVq0CoLKyku9+97usXLmSl156CY+nd8PhYHKprEVFRaxcuZJVq1bx+OOPYzKZgixdby6Vt4eNGzeyYsWKQfuOIa28t27dSnd3Nx9++CHPPfccv/vd74ItUr989tlnGI1G3n//fd566y1+85vfBFukq+J0OnnxxRfRarXBFuWa7N+/n6NHj7J27VrWrFlDQ0NDsEXql507d15ozv3kk0/yhz/8Idgi9clbb73Fv/3bv9HV1QXAb3/7W55++mnef/99JEkaUsbHlbK+/PLLrF69mjVr1jB//nzeeuutIEt4OVfKC94F55NPPmEwcyKHtPI+fPgws2bNAmDChAkUFhYGWaL+ueuuu/jZz3524bVCMbQbsr766qs89NBDxMbGBluUa9LT8PrJJ5/kRz/6EXPmzAm2SP2Snp6O2+3G4/Fgs9lQKgMqmX/dSU1N5T//8z8vvD516hRTpkwBYPbs2ezduzdYovXiSllfe+01Ro0aBYDb7UajGVpd66+U12w28/vf/54XXnhhUL9naN5Z57HZbISGhl54rVAocLlcQ/KB0Ov1gFfmp556iqeffjrIEvXP+vXriYyMZNasWbz55pvBFueamM1m6urqeOONN6ipqeGJJ55g06ZNQ7LxrU6no7a2lkWLFmE2m3njjTeCLVKfLFy4kJqai53gJUm68Hvq9XqsVmuwROvFlbL2GBxHjhzh3XffvWbz8xvNpfK63W5++ctf8sILLwz6IjOkLe/Q0FDsdvuF1x6PZ0gq7h7q6+t59NFHWbp0KUuWLAm2OP2ybt069u7dy6pVqygqKuL555+nubk52GL1i9FoZObMmajVajIyMtBoNLS2tgZbrD7529/+xsyZM9m8eTMbNmzgF7/4xWXb56GKXH5RFdjtdgwGQxCluTZffPEFL730Em+++SaRkZHBFqdfTp06RWVlJb/61a949tlnOXv2LC+//PKgzD10NSGQn5/P9u3bWbx4MceOHSMnJyfYIvWLyWTiscce48UXX2T69OnBFueqXGqprFq1il/96lfExMQEUaKrU1BQwN///nd+8IMf0NTURGdnJ0ajMdhi9YnBYEClUgEQHh6Oy+XC7XYHWaprM3r0aPbv38/UqVPZtWsX06ZNC7ZI/bJhwwY+/PBD1qxZM2Tvgx7GjRvH559/DkBNTQ3PPvssv/zlLwdl7iGtvOfPn8+ePXt46KGHkCSJV155Jdgi9csbb7yBxWLh9ddf5/XXXwe8BxfD4UBwqDN37lwOHjzIsmXLkCSJF198ccieKXz/+9/nhRdeYOXKlTidTp555hl0Ol2wxbomzz//PKtXr+a1114jIyODhQsXBlukPnG73bz88sskJCTw05/+FIDJkyfz1FNPBVmyG48oCSsQCATDkCHt8xYIBAJB3wjlLRAIBMMQobwFAoFgGCKUt0AgEAxDhPIWCASCYYhQ3gKBQDAMEcpbIBAIhiH/HzxP6V1RYa2JAAAAAElFTkSuQmCC\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -463,35 +475,37 @@ { "data": { "text/plain": [ - "{'axes.axisbelow': True,\n", + "{'axes.facecolor': '.9',\n", " 'axes.edgecolor': 'white',\n", - " 'axes.facecolor': '.9',\n", " 'axes.grid': True,\n", + " 'axes.axisbelow': True,\n", " 'axes.labelcolor': '.15',\n", - " 'axes.linewidth': 0.0,\n", " 'figure.facecolor': 'white',\n", - " 'font.family': ['sans-serif'],\n", - " 'font.sans-serif': ['Arial',\n", - " 'DejaVu Sans',\n", - " 'Liberation Sans',\n", - " 'Bitstream Vera Sans',\n", - " 'sans-serif'],\n", " 'grid.color': 'white',\n", " 'grid.linestyle': '-',\n", - " 'image.cmap': 'rocket',\n", - " 'legend.frameon': False,\n", - " 'legend.numpoints': 1,\n", - " 'legend.scatterpoints': 1,\n", - " 'lines.solid_capstyle': 'round',\n", " 'text.color': '.15',\n", " 'xtick.color': '.15',\n", - " 'xtick.direction': 'out',\n", - " 'xtick.major.size': 0.0,\n", - " 'xtick.minor.size': 0.0,\n", " 'ytick.color': '.15',\n", + " 'xtick.direction': 'out',\n", " 'ytick.direction': 'out',\n", - " 'ytick.major.size': 0.0,\n", - " 'ytick.minor.size': 0.0}" + " 'lines.solid_capstyle': 'round',\n", + " 'patch.edgecolor': 'w',\n", + " 'image.cmap': 'rocket',\n", + " 'font.family': ['sans-serif'],\n", + " 'font.sans-serif': ['Arial',\n", + " 'DejaVu Sans',\n", + " 'Liberation Sans',\n", + " 'Bitstream Vera Sans',\n", + " 'sans-serif'],\n", + " 'patch.force_edgecolor': True,\n", + " 'xtick.bottom': False,\n", + " 'xtick.top': False,\n", + " 'ytick.left': False,\n", + " 'ytick.right': False,\n", + " 'axes.spines.left': True,\n", + " 'axes.spines.bottom': True,\n", + " 'axes.spines.right': True,\n", + " 'axes.spines.top': True}" ] }, "execution_count": 17, @@ -537,9 +551,9 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", 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\n", 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\n", + "image/png": 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\n", 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\n", 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\n", 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" ] }, "metadata": {}, @@ -662,7 +676,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.0" } }, "nbformat": 4, diff --git a/lessons/lesson14.2.ipynb b/lessons/lesson14.2.ipynb index 9005d82..b67bbaa 100644 --- a/lessons/lesson14.2.ipynb +++ b/lessons/lesson14.2.ipynb @@ -47,8 +47,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Building color palettes with `color_palette`\n", - "--------------------------------------------------\n", + "### Building color palettes with `color_palette`\n", "\n", "The most important function for working with discrete color palettes is `color_palette`. This function provides an interface to many (though not all) of the possible ways you can generate colors in seaborn, and it's used internally by any function that has a `palette` argument (and in some cases for a `color` argument when multiple colors are needed).\n", "\n", @@ -58,11 +57,14 @@ "\n", "A corresponding function, `set_palette`, takes the same arguments and will set the default color cycle for all plots. You can also use `color_palette` in a `with` statement to temporarily change the default palette (see below on palette contexts).\n", "\n", - "It is generally not possible to know what kind of color palette or colormap is best for a set of data without knowing about the characteristics of the data. Following that, we'll break up the different ways to use `color_palette` and other seaborn palette functions by the three general kinds of color palettes: *qualitative*, *sequential*, and *diverging*.\n", - "\n", - "\n", - "Qualitative color palettes\n", - "--------------------------\n", + "It is generally not possible to know what kind of color palette or colormap is best for a set of data without knowing about the characteristics of the data. Following that, we'll break up the different ways to use `color_palette` and other seaborn palette functions by the three general kinds of color palettes: *qualitative*, *sequential*, and *diverging*." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Qualitative color palettes\n", "\n", "Qualitative (or categorical) palettes are best when you want to distinguish discrete chunks of data that do not have an inherent ordering.\n", "\n", @@ -94,9 +96,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkgAAABQCAYAAADiBIpwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4wLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvqOYd8AAAAr1JREFUeJzt2cGLjGEAx/GHBkOZtbZ1VE5ObhQXF+XfkAMpykVWOEopF3HYTA7+Bc5Srty4K0fTYEaxu229LlJ+N9M+PWP6fC7P6alfvb31rWdX13VdAQDgj92tBwAAzBuBBAAQBBIAQBBIAABBIAEABIEEABAEEgBAEEgAAEEgAQAEgQQAEAQSAEAQSAAAoTfrxZuP35TxZGMnt8yNZ3fPl09PrrSeUc3Ra+vl6ss7rWdUcfHFuJwcrpd3lxbz+50crpdH9161nlHN9bvnyvMHN1rPqObC2sPy8enb1jOqOXb5VBkOh61nVHH6+KicOHu7vH9zv/WUKk6cvV1uvf7QekYVy/09Ze3M8X++N3MgjScb5fPXn7Nen3vbk1HrCVWNfnxpPaGKzc+jv85FNFng/66UUr5/G7eeUNX2dLP1hKqm02nrCVVsbXz961xE459brSfMFU9sAABBIAEABIEEABAEEgBAEEgAAEEgAQAEgQQAEAQSAEAQSAAAQSABAASBBAAQBBIAQBBIAABBIAEABIEEABAEEgBAEEgAAEEgAQAEgQQAEAQSAEAQSAAAQSABAASBBAAQBBIAQBBIAABBIAEABIEEABAEEgBAEEgAAEEgAQAEgQQAEAQSAEAQSAAAQSABAASBBAAQBBIAQBBIAABBIAEABIEEABAEEgBAEEgAAEEgAQAEgQQAEAQSAEAQSAAAQSABAASBBAAQBBIAQBBIAABBIAEABIEEABB6s15cWerv5I6501tabT2hqtUDh1tPqGLfke73ubjfb2l5f+sJVR08tNJ6QlW9wb7WE6oaDAatJ1Sxt7/5+1xuvKSelf17W0+oYrm/Z6Z7u7qu63Z4CwDAf80TGwBAEEgAAEEgAQAEgQQAEAQSAEAQSAAAQSABAASBBAAQBBIAQBBIAABBIAEABIEEABB+AfAGVV2++a/SAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -122,9 +124,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -132,9 +134,9 @@ }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -142,9 +144,9 @@ }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -152,9 +154,9 @@ }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAABECAYAAAAiJuZQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAAWlJREFUeJzt2qFNRTEAhtFegkTh8SSwwTMs9aZgCybBsAEJeBQGTQhJmQBQ96t459iaX31pmm5zzjkASJytHgBwSkQXICS6ACHRBQiJLkDoz+h+flUzAE7D9t+Xse0uWrLAfBzj/OOwesZuvi+fxvt2sXrGLh5uXsbx+Wrc376tnrKL4/PVGE/b6hn7Ocyxva4esZ95/fuZ5wWAkOgChEQXICS6ACHRBQiJLkBIdAFCogsQEl2AkOgChEQXICS6ACHRBQiJLkBIdAFCogsQEl2AkOgChEQXICS6ACHRBQiJLkBIdAFCogsQEl2AkOgChEQXICS6ACHRBQiJLkBIdAFCogsQEl2AkOgChEQXICS6ACHRBQiJLkBIdAFCogsQEl2AkOgChEQXICS6ACHRBQiJLkBIdAFCogsQEl2AkOgChEQXICS6ACHRBQhtc865egTAqXDTBQiJLkBIdAFCogsQEl2AkOgChH4AXPUebN0ggo8AAAAASUVORK5CYII=\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -162,9 +164,9 @@ }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -172,9 +174,9 @@ }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -201,9 +203,9 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -230,9 +232,9 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -251,7 +253,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Using circular color systems\n", + "#### Using circular color systems\n", "\n", "When you have more than six categories to distinguish, the easiest thing is to draw evenly-spaced colors in a circular color space (such that the hue changes which keeping the brightness and saturation constant). This is what most seaborn functions default to when they need to use more colors than are currently set in the default color cycle.\n", "\n", @@ -265,9 +267,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -292,9 +294,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -321,9 +323,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -345,7 +347,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Using categorical Color Brewer palettes\n", + "#### Using categorical Color Brewer palettes\n", "\n", "Another source of visually pleasing categorical palettes comes from the [Color Brewer](http://colorbrewer2.org/) tool (which also has sequential and diverging palettes, as we'll see below). These also exist as matplotlib colormaps, but they are not handled properly. In seaborn, when you ask for a qualitative Color Brewer palette, you'll always get the discrete colors, but this means that at a certain point they will begin to cycle.\n", "\n", @@ -361,9 +363,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAArgAAABQCAYAAADySAbpAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4wLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvqOYd8AAAAwtJREFUeJzt2r9LVWEAxvHX1PCShFwCM4Qa2hoaK6ilgqaaJNA/Itqaiqiprcb+gYSIFidRmoJsbI2GAsmIEAnlhj+6zY5d7ssrD5/PcqYXnsOBc77DGen3+/0CAAAhjrUeAAAAwyRwAQCIInABAIgicAEAiCJwAQCIInABAIgicAEAiCJwAQCIInABAIgicAEAiCJwAQCIInABAIgyNujBlc8/S2/vYJhbjow7F2bK1WfvWs+o5v2D62V1/WXrGVW8WHtbluaWy+03t1pPqWJpbrnsL75qPaOasfmFsnHpSusZ1cx8/FD+rj1pPaOaY5cflfL8XOsZ9dz/Wj6tfmm9ooqLN8+Xh3cXW8+o5unr+VJK7ruzlIWycu9G6xFVTHSny7XH///sBg7c3t5B2dnNDNxSSlnf6rWeUFVv/3frCVVs7Hw/dI20vd16QVUH6+utJ9T1Z7P1grq2vrVeUNVub6/1hGo2f2S/W0rJvr/er+Dv3gD8ogAAQBSBCwBAFIELAEAUgQsAQBSBCwBAFIELAEAUgQsAQBSBCwBAFIELAEAUgQsAQBSBCwBAFIELAEAUgQsAQBSBCwBAFIELAEAUgQsAQBSBCwBAFIELAEAUgQsAQBSBCwBAFIELAEAUgQsAQBSBCwBAFIELAEAUgQsAQBSBCwBAFIELAEAUgQsAQBSBCwBAFIELAEAUgQsAQBSBCwBAFIELAEAUgQsAQBSBCwBAFIELAEAUgQsAQBSBCwBAFIELAEAUgQsAQBSBCwBAFIELAEAUgQsAQBSBCwBAFIELAEAUgQsAQBSBCwBAFIELAEAUgQsAQBSBCwBAFIELAECUsUEPdsZHh7njyJmd6rSeUFVn7GTrCVXMnDhz6BppcrL1gqpGZ2dbT6hrott6QV1TZ1svqOp4Z7z1hGq6p7PfLaVk31/nVOZ3b6I7PdC5kX6/3x/yFgAAaMYvCgAARBG4AABEEbgAAEQRuAAARBG4AABEEbgAAEQRuAAARBG4AABEEbgAAEQRuAAARBG4AABEEbgAAET5Bx+pVLpkA8pBAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -381,9 +383,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -410,9 +412,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -428,7 +430,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Using named colors from the xkcd color survey\n", + "#### Using named colors from the xkcd color survey\n", "\n", "A while back, [xkcd](http://xkcd.com/) ran a [crowdsourced effort](http://blog.xkcd.com/2010/05/03/color-survey-results/) to name random RGB colors. This produced a set of [954 named colors](http://xkcd.com/color/rgb/), which you can now reference in seaborn using the ``xkcd_rgb`` dictionary:" ] @@ -441,7 +443,7 @@ { "data": { "text/plain": [ - "[]" + "[]" ] }, "execution_count": 15, @@ -450,9 +452,9 @@ }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -479,9 +481,9 @@ "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAASUAAABECAYAAADHuCM8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAAWdJREFUeJzt2jEuhUEARtF5Oo31KC2APdiEhISKhESv1ijULECptwDLkJAYlUSD6r3/Fue003zVzUwyqznnHAARW0sPAPhJlIAUUQJSRAlIESUg5c8ovX98bmoHwBhjjNV/XwJ2T542NGXzni/3xnzcXnrG2qz238b93c3SM9biZed1XBxcj9OHo6WnrMXFwfU4P7xaesbanN0e/3rm+QakiBKQIkpAiigBKaIEpIgSkCJKQIooASmiBKSIEpAiSkCKKAEpogSkiBKQIkpAiigBKaIEpIgSkCJKQIooASmiBKSIEpAiSkCKKAEpogSkiBKQIkpAiigBKaIEpIgSkCJKQIooASmiBKSIEpAiSkCKKAEpogSkiBKQIkpAiigBKaIEpIgSkCJKQIooASmiBKSIEpAiSkCKKAEpogSkiBKQIkpAiigBKaIEpKzmnHPpEQDf3JSAFFECUkQJSBElIEWUgBRRAlK+AOeuIG1VGX5uAAAAAElFTkSuQmCC\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -497,8 +499,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Sequential color palettes\n", - "-------------------------\n", + "### Sequential color palettes\n", "\n", "The second major class of color palettes is called \"sequential\". This kind of color mapping is appropriate when data range from relatively low or unintersting values to relatively high or interesting values. Although there are cases where you will want discrete colors in a sequential palette, it's more common to use them as a colormap in functions like `kdeplot` or `corrplot` (along with similar matplotlib functions).\n", "\n", @@ -516,9 +517,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWkAAABQCAYAAADbeYSfAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4wLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvqOYd8AAAAhpJREFUeJzt3DFqFFEAxvG3IZFNCEEi22whCFZCjqBdGg+QO4i1J7D0AHuHkBuYSgt7bW00YBMCIaRYkmWfdQoLh328L8Pv10z14IOB/wxTzKTWWgsAkbZ6DwDg30QaIJhIAwQTaYBgIg0QTKQBgok0QDCRBggm0gDBRBogmEgDBBNpgGDbQw9eXC3Laj3OfzO9mO2Wrz+ves9o5vXLZ2Xx7VfvGU18v7gpi5Oj8u70R+8pTSxOjsrxpy+9ZzTz+cOb8ur9We8ZTcwP98r5x7f/fW5wpFfrOtpIl1LK8n7de0JTN8tV7wlNXN7ePbiO0Z/rZe8JTf2+vO09IYrPHQDBRBogmEgDBBNpgGAiDRBMpAGCiTRAMJEGCCbSAMFEGiCYSAMEE2mAYCINEEykAYKJNEAwkQYIJtIAwUQaIJhIAwQTaYBgIg0QTKQBgok0QDCRBggm0gDBRBogmEgDBBNpgGAiDRBMpAGCiTRAMJEGCCbSAMFEGiCYSAMEE2mAYCINEEykAYKJNEAwkQYIJtIAwUQaIJhIAwQTaYBgIg0QTKQBgok0QDCRBggm0gDBRBogmEgDBNsefHBrsskdcaY7435+HUwH3/pos/0nD65jNH867T2hqeez/d4Tmpgf7g06N6m11g1vAWBDxv26CPDIiTRAMJEGCCbSAMFEGiCYSAMEE2mAYCINEEykAYKJNEAwkQYIJtIAwf4CxRM4zA3a6B0AAAAASUVORK5CYII=\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -543,9 +544,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWkAAABQCAYAAADbeYSfAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4wLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvqOYd8AAAAhpJREFUeJzt3DFKHFEAxvE3rkQNGKuVEMEDKLmAhelyi4BVwMIr5A4hRdJ7hxSpxMIbpLMxsBZrIZsQskhkrLewyLCP90V+v2aqB98U8y9eMV3f930BINJK6wEAPE6kAYKJNEAwkQYIJtIAwUQaIJhIAwQTaYBgIg0QTKQBgok0QDCRBgi2OvTgm49HZTKbLnNLjMsPX8vb0+PWM6r59u5zeX/2pfWMKl6P98rJ/mH59P289ZQqTvYPy8X0R+sZ1Rxs75bJ73nrGVWMuq68fL72z+cGR3oym5ar2+uhx+Nd/7ppPaGqmz8/W0+oYnY3X3g+RfP7v60nVHXvx5wLXHcABBNpgGAiDRBMpAGCiTRAMJEGCCbSAMFEGiCYSAMEE2mAYCINEEykAYKJNEAwkQYIJtIAwUQaIJhIAwQTaYBgIg0QTKQBgok0QDCRBggm0gDBRBogmEgDBBNpgGAiDRBMpAGCiTRAMJEGCCbSAMFEGiCYSAMEE2mAYCINEEykAYKJNEAwkQYIJtIAwUQaIJhIAwQTaYBgIg0QTKQBgok0QDCRBggm0gDBRBogmEgDBBNpgGAiDRBsdejBna3tZe6I82pz3HpCVeONF60nVLH1bH3h+RStjwZ/tv+FUde1nlDF0Pfq+r7vl7wFgCVx3QEQTKQBgok0QDCRBggm0gDBRBogmEgDBBNpgGAiDRBMpAGCiTRAMJEGCPYAPUk1WCd2TjQAAAAASUVORK5CYII=\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -570,9 +571,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -587,10 +588,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Remember that you may want to use the `choose_colorbrewer_palette` function to play with the various options, and you can set the ``as_cmap`` argument to ``True`` if you want the return value to be a colormap object that you can pass to seaborn or matplotlib functions.\n", - "\n", - "\n", - "### Sequential palettes with `cubehelix_palette`\n", + "Remember that you may want to use the `choose_colorbrewer_palette` function to play with the various options, and you can set the ``as_cmap`` argument to ``True`` if you want the return value to be a colormap object that you can pass to seaborn or matplotlib functions." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Sequential palettes with `cubehelix_palette`\n", "\n", "The [cubehelix](http://www.mrao.cam.ac.uk/~dag/CUBEHELIX/) color palette system makes sequential palettes with a linear increase or decrease in brightness and some variation in hue. This means that the information in your colormap will be preserved when converted to black and white (for printing) or when viewed by a colorblind individual.\n", "\n", @@ -604,9 +609,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -633,9 +638,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -660,9 +665,9 @@ "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcwAAABECAYAAAAMTwWHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAAbdJREFUeJzt2y1uVUEAhuFzuxGCbFKDRJBWoOpYABSFw5Dg2jSkdSSYOhQ/C6hDIbhBVNaQIEk3cg8bIO1rzp2SPI8c9bk3M8ms5nmeJwDgVjujBwDA/0AwASAQTAAIBBMAAsEEgODWYG42m23tAIB7bXXXt5Lff35sacr27T48mC6vv4yesZhnj15MZ98vRs9YzMnT19PR1w+jZyzi8/M30+H5+9EzFvPt+O20//J09IzFrD+9mx4/eTV6xmKufn6c9h7sj56xmF8363+ee5IFgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgGA1z/M8egQA3HdumAAQCCYABIIJAIFgAkAgmAAQCCYABH8BUwQndF6ALnUAAAAASUVORK5CYII=\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -687,9 +692,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -712,10 +717,18 @@ "execution_count": 24, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 24, @@ -724,9 +737,9 @@ }, { "data": { - "image/png": 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\n", 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V2tD7cBBWchv6NM/r8uqatrZtMDoiD+vynOjzPggbl+nQhzrB296yKeO+PJFHYdia5k19SKr19s8YiXPa5/DhGvlZp3nOssmOyMMJn6d509JGOsubhA+Bhx+IPAqlSHvzgyUJtqnfAABJqne9AJTXzXfendseaeNdt2X6Vf+Oz07I5cChjXgXbYo/23Uh95uxlxmTPArHl/PmfYypj2viLBu3iDyccnnRqLyvOW+bj4GXivdzDA2RR7BsHID1Jay+rAP+IfJARgQ2G/bj80Xk4RxbNtnwJhNf4a8pnwKRRyH5cvB1gKvQEnjUQuQRNN8+GGVSEQKf9TehkP/72ULkgRrihspmdIsQePiByKP0TB74sxHfogQ+zptj1p+9b9t2PiLygGF5RjikwNtWxoOuEpEHYkkaLdMxbmm6NbjA15ri2Y83g8ijkIpwRyBTYS5K3CW7EzxbNfFwgTI458ONHCZ+7pbcbmAxONInzpxP9P1FkiTwTPH2EHkgJhNXpixqwGsxGfg4kk7xZd2Pl9iuQQmYnAp9PKDo0h2fnWA88EzxZhF54L+4hkoyRXnDK/MULxF5ILGixC0vSaf3AaameA64JkPkgUHiTvNlDX3af28C7w6RB1JKO9EWVZ6Bz0vZt2okIo+SSHIwL2mUyhD6tNszcX+WTPH5yRz5TZs26eWXXzaxFsAbaUIfauzz2n8fkNfZNEzx16SO/L///W8999xz2rZtm8n1ALlJGpM02wwDsQ8l+L4Enik+vdQfhurs7FRLS4uefPJJk+sBvJLlk7CDA5n1Q1QuFDnwTPGfSj3Jz58/X0899ZTGjh1rcj1ArtJsDZg4cDh4wi/ClF/kwGOompN8R0eH1q1bN+Rrra2t2r59e15rAnLVeNdt+tc/P070mIGAmbq+jc9Tvi+BT4spfqiakZ81a5ZmzZplYy2ANWlCL5mPveR38GtJ+ltOksCzTWMGp1CikEz8Gt94122pp8okpwcm4Xo7J88LjRF4N4g8Si/L9sFA7E0H30Xsixx4jKwuiqLIxQv39ZyXon4XLw3PZLmevOmbh6TZwqnG9LXp897GKXrgSzHF141Rw4Tkl6om8vBC2tDndYcoU7EfYCL6eYXel8BLbNOMisijyHya5ofzLfgmY1/0wEtEvubDiDx8YOIWgMQ+GQJfMEQeRVeE0A/wKfhJY5/0gG7e58AT+JiIPIrO5A29bcVeMhv8vKb7LGfqmLyS5HAEPgEijxCYDP1gRZvwTZ+dk4avE7xE5BM9jMjDJ3lFfjgb0c8afJehJ/AeIvIIha3QD+bzQVvbsSfwniLyCImL0A+WZ/TTBt9G7H0OvETk00Q+9fXkgZANjpHp4A/E0fWVMEd6/jjyvpJkNaUOfAZM8vCW62l+JD5cSsFk6PM+B34AU3xGbNcgVL7GXjIbfNvbOGkuqkbgHSLyCJnPoR9gKvh5HaTNeqVMV4GXiLwkIo9yKEvsTX+iNisC7wEijzIpQuyl7MF3HfssB1hNXReeyP8XZ9egTAb/xfc5+AOhSxv7tGfimODiDBqYxySPYPkY/yyTvc3QZw08U3wO2K4BknP1RuBr7E1M7yZv30fkB2G7BkiuWkRshH9CyySvtnDYmgkXkzwwChvBd3U2Th5hN30Tbib5QdiuAfJTlNi7ROBzxnYNkB8bZ/Nk2cJxzXTgYc4Y1wsAiibPCZNYwjQiD6Rw85135xb7CS2TChX7Iq21jIg8kEHZY+/7+kDkASPKuIXj67owFJEHDCnTVO/TWjA6TqEEcpD3KZeuzsKxFXdOn6yCUygBfwxEKs/TLQfYCD6Te3EReSBHN995d+5T/fAAm4g+UQ8HkQdyZiP0gxFoDMaBV8CCPA/KAqMh8oBFhL42fkZmEXnAMqZ62ETkAUeIPWwg8oBjxP5T/BzMSx35w4cPa+HChZo3b56WLl2qU6dOmVwXUDrEHnlI/YnXr371q/rFL36hqVOn6je/+Y06Ozv1yiuvxH48n3gFRufjjcjzxBtcDSk/8Zpqku/t7dXTTz+tqVOnSpKmTJmi7u7uNE8FYAQDkz3xQxaZr13T39+vFStW6Mtf/rK+//3vx34ckzyQXKjTPW9kMeR17ZqOjg6tW7duyNdaW1u1fft29fb2avXq1bpy5YqWLVuW+MUBJGPjNoQIS+pJ/uLFi1qxYoUaGxv14osvaty4cYkezyQPmFPk4DPFx5Rykk8d+e9+97u6/fbbtWbNGo0Zk3xrn8gD+SlK9Al8AjYjf+TIES1YsECTJ09Wff21HZ+mpia9+uqrsZ+DyAN2+Bp8Ap+Q7Uk+KyIP2OdL8Al8CjZPoQRQTD6ckun69cuG68kDJeTiLB3i7gaTPFByNqZ7Au8OkzwASfncl5a4u0fkAQwxPMxJo0/Y/ULkAYyKaBcbe/IAEDAiDwABI/IAEDAiDwABI/IAEDAiDwABI/IAEDAiDwABI/IAEDAiDwABI/IAEDAiDwABI/IAEDAiDwABI/IAEDAiDwABI/IAEDAiDwABI/IAEDAiDwABI/IAEDAiDwABI/IAEDAiDwABI/IAEDAiDwABI/IAEDAiDwABI/IAEDAiDwABSx35Q4cO6fHHH9fcuXO1fPlynT9/3uS6AAAGpI78s88+qw0bNmjv3r2aPHmytm7danJdAAAD6tM+8I033lBDQ4P6+vp0+vRpTZkyxeS6AAAGpJ7kGxoadPToUbW1tengwYOqVCom1wUAMKAuiqJotG/o6OjQunXrhnyttbVV27dvv/7nnTt3avfu3dq5c2fsF+7rOS9F/clWCwBlVTdGDRNuTf6wWpGv5vLly/rDH/6gmTNnSpI++eQTfeUrX9Ff//rX2M9B5AEggZSRT7VdU19frzVr1uidd96RdG3av//++9M8FQAgR6kmeenaKZQ/+clPdPXqVTU3N+vHP/6xJk2aFPvxTPIAkIDN7RoTiDwAJGBzuwYAUAxEHgACRuQBIGBEHgACRuQBIGBEHgACRuQBIGBEHgACRuQBIGBEHgACRuQBIGBEHgACRuQBIGBEHgACRuQBIGD1zl65rk68xwBATHV16R7m6qYhAID8MUoDQMCIPAAEjMgDQMCIPAAEjMgDQMCIPAAEjMgDQMCIPAAEjMgDQMCCjPyRI0f0pS99yfUyRnTo0CE9/vjjmjt3rpYvX67z58+7XtKIDh8+rIULF2revHlaunSpTp065XpJo9q0aZNefvll18u4wd69ezV79my1t7drx44drpczqp6eHs2ZM0ddXV2ulzKiLVu2qFKpqFKpaMOGDa6XM6KXXnpJs2fPVqVS0bZt29wsIgrMJ598Ei1atCj6/Oc/73opI5o5c2Z07NixKIqi6Gc/+1n085//3PGKRjZjxozo3XffjaIoil5//fVo+fLljldU3YULF6Jnn302mjZtWrR582bXyxniww8/jGbMmBF9/PHH0cWLF6O5c+de/+/vm7/97W/RnDlzoi9+8YvRyZMnXS+nqj/96U/RE088EV2+fDnq7e2NlixZEu3bt8/1sm5w8ODBaNGiRVFfX1906dKlaMaMGdHx48etryO4SX79+vVaunSp62WM6o033tDkyZPV19en06dP65ZbbnG9pKp6e3v19NNPa+rUqZKkKVOmqLu72/Gqquvs7FRLS4uefPJJ10u5wf79+/Xwww+rsbFR48eP12OPPaY333zT9bKq2rVrl1544QU1NTW5XsqIJk6cqNWrV2vcuHFqaGjQPffcow8++MD1sm7w0EMP6bXXXlN9fb0++ugjXb16VePHj7e+jqAi39nZqf/85z/62te+5nopo2poaNDRo0fV1tamgwcPqlKpuF5SVePGjdO8efMkSf39/dqyZYtmzpzpeFXVzZ8/X0899ZTGjh3reik3OHPmjCZOnHj9z01NTTp9+rTDFY1s7dq1evDBB10vY1T33nuv7rvvPknSiRMn1NHRoba2Nserqq6hoUGbN29WpVLR9OnT1dzcbH0N7i41nEFHR4fWrVs35Gutra3q6enR9u3b3SyqipHWuX37dk2ZMkX79+/Xzp07tWrVKu3cudPRKq8Zba29vb1avXq1rly5omXLljla4TWjrdNX/f39qht0mdgoiob8GekcO3ZMy5Yt0zPPPKOWlhbXyxnRypUr9Z3vfEfLly/Xrl279MQTT1h9/UJGftasWZo1a9aQr73++uv65S9/qW9+85vXvzZv3jzt2LFDEyZMsL1ESdXXefnyZb311lvXJ+Kvf/3r+ulPf+pieUNUW6skXbx4UStWrFBjY6NeeeUVNTQ0OFjdp0Zap88mTZqkQ4cOXf/z2bNnvd4OKYLDhw9r5cqVeu6557z9Tfj48ePq7e3VF77wBd10001qb2/X0aNHra8jmO2ab3zjG3rrrbe0Z88e7dmzR5K0Z88eZ4EfSX19vdasWaN33nlH0rXJ9P7773e8qpH98Ic/1N13361NmzZp3LhxrpdTSI888ogOHDigc+fO6dKlS9q3b58effRR18sqrO7ubn3ve9/Tiy++6G3gJamrq0vPP/+8ent71dvbq87OTj3wwAPW11HISb7Ixo4dq40bN+pHP/qRrl69qubmZq1du9b1sqo6cuSIOjs7NXnyZC1YsEDStf3kV1991fHKiqW5uVmrVq3SkiVL1NfXp4ULF2ratGmul1VYW7du1eXLl7V+/frrX1u0aJEWL17scFU3amtr09tvv6358+dr7Nixam9vd/KmxJ2hACBgwWzXAABuROQBIGBEHgACRuQBIGBEHgACRuQBIGBEHgACRuQBIGD/D+E+GrwvnSDAAAAAAElFTkSuQmCC\n", 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" ] }, "metadata": {}, @@ -734,7 +747,7 @@ } ], "source": [ - "x, y = np.random.multivariate_normal([0, 0], [[1, -.5], [-.5, 1]], size=300).T\n", + "x, y = np.random.multivariate_normal((0, 0), ((1, -.5), (-.5, 1)), size=300).T\n", "cmap = sns.cubehelix_palette(light=1, as_cmap=True)\n", "sns.kdeplot(x, y, cmap=cmap, shade=True)" ] @@ -757,9 +770,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -777,9 +790,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -804,9 +817,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -831,9 +844,9 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, "metadata": {}, @@ -859,9 +872,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -879,9 +892,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -903,8 +916,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Diverging color palettes\n", - "------------------------\n", + "### Diverging color palettes\n", "\n", "The third class of color palettes is called \"diverging\". These are used for data where both large low and high values are interesting. There is also usually a well-defined midpoint in the data. For instance, if you are plotting changes in temperature from some baseline timepoint, it is best to use a diverging colormap to show areas with relative decreases and areas with relative increases.\n", "\n", @@ -922,9 +934,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -942,9 +954,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -969,9 +981,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -986,7 +998,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**Custom diverging palettes with `diverging_palette`**" + "#### Custom diverging palettes with `diverging_palette`" ] }, { @@ -1003,9 +1015,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1023,9 +1035,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1050,9 +1062,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1077,9 +1089,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1094,8 +1106,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Changing default palettes with `set_palette`\n", - "--------------------------------------------------\n", + "### Changing default palettes with `set_palette`\n", "\n", "The `color_palette` function has a companion called `set_palette`. The relationship between them is similar to the pairs covered in the aesthetics tutorial. `set_palette` accepts the same arguments as `color_palette`, but it changes the default matplotlib parameters so that the palette is used for all plots." ] @@ -1119,9 +1130,9 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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" ] }, "metadata": {}, @@ -1185,7 +1196,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.0" } }, "nbformat": 4, diff --git a/lessons/lesson14.3.ipynb b/lessons/lesson14.3.ipynb index e26a9ca..074a22f 100644 --- a/lessons/lesson14.3.ipynb +++ b/lessons/lesson14.3.ipynb @@ -4,11 +4,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Lesson 14.3 - Plotting with Seaborn: Visualizing the distribution of a dataset\n", + "## Lesson 14.3 - Plotting with Seaborn: Visualizing statistical relationships\n", "\n", "*Facsimile of [Seaborn tutorial](http://stanford.edu/~mwaskom/software/seaborn/tutorial.html).*\n", "\n", - "When dealing with a set of data, often the first thing you'll want to do is get a sense for how the variables are distributed. This chapter of the tutorial will give a brief introduction to some of the tools in seborn for examining univariate and bivariate distributions. You may also want to look at the :ref:`categorical plots ` chapter for examples of functions that make it easy to compare the distribution of a variable across levels of other variables." + "Statistical analysis is a process of understanding how variables in a dataset relate to each other and how those relationships depend on other variables. Visualization can be a core component of this process because, when data are visualized properly, the human visual system can see trends and patterns that indicate a relationship.\n", + "\n", + "We will discuss three seaborn functions in this tutorial. The one we will use most is `relplot()`. This is a figure-level function for visualizing statistical relationships using two common approaches: scatter plots and line plots. `relplot()` combines a `FacetGrid` with one of two axes-level functions:\n", + "\n", + "* `scatterplot()` (with `kind=\"scatter\"`; the default)\n", + "* `lineplot()` (with `kind=\"line\"`)\n", + "\n", + "As we will see, these functions can be quite illuminating because they use simple and easily-understood representations of data that can nevertheless represent complex dataset structures. They can do so because they plot two-dimensional graphics that can be enhanced by mapping up to three additional variables using the semantics of hue, size, and style." ] }, { @@ -17,89 +24,140 @@ "metadata": {}, "outputs": [], "source": [ - "%matplotlib inline" + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "sns.set(style=\"darkgrid\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Relating variables with scatter plots\n", + "\n", + "The scatter plot is a mainstay of statistical visualization. It depicts the joint distribution of two variables using a cloud of points, where each point represents an observation in the dataset. This depiction allows the eye to infer a substantial amount of information about whether there is any meaningful relationship between them.\n", + "\n", + "There are several ways to draw a scatter plot in seaborn. The most basic, which should be used when both variables are numeric, is the `scatterplot()` function. In the categorical visualization tutorial, we will see specialized tools for using scatterplots to visualize categorical data. The `scatterplot()` is the default kind in `relplot()` (it can also be forced by setting `kind=\"scatter\"`):" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "import numpy as np\n", - "import pandas as pd\n", - "from scipy import stats, integrate\n", - "import matplotlib.pyplot as plt" + "tips = sns.load_dataset(\"tips\")\n", + "sns.relplot(x=\"total_bill\", y=\"tip\", data=tips);" ] }, { - "cell_type": "code", - "execution_count": 3, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "import seaborn as sns\n", - "sns.set(color_codes=True)" + "While the points are plotted in two dimensions, another dimension can be added to the plot by coloring the points according to a third variable. In seaborn, this is referred to as using a β€œhue semantic”, because the color of the point gains meaning:" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "np.random.seed(sum(map(ord, \"distributions\")))" + "sns.relplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\", data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "# Plotting univariate distributions\n", - "\n", - "The most convenient way to take a quick look at a univariate distribution in seaborn is the `distplot` function. By default, this will draw a [histogram](https://en.wikipedia.org/wiki/Histogram) and fit a [kernel density estimate](https://en.wikipedia.org/wiki/Kernel_density_estimation) (KDE)." + "To emphasize the difference between the classes, and to improve accessibility, you can use a different marker style for each class:" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sns.relplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\", style=\"smoker\",\n", + " data=tips);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It’s also possible to represent four variables by changing the hue and style of each point independently. But this should be done carefully, because the eye is much less sensitive to shape than to color:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "x = np.random.normal(size=100)\n", - "sns.distplot(x)" + "sns.relplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\", style=\"time\", data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Histograms\n", - "\n", - "Histograms are likely familiar, and a `hist` function already exists in matplotlib. A histogram represents the distribution of data by forming bins along the range of the data and then drawing bars to show the number of observations that fall in each bin.\n", - "\n", - "To illustrate this, let's remove the density curve and add a rug plot, which draws a small vertical tick at each observation. You can make the rug plot itself with the `rugplot` function, but it is also available in `distplot`:" + "In the examples above, the hue semantic was categorical, so the default qualitative palette was applied. If the hue semantic is numeric (specifically, if it can be cast to float), the default coloring switches to a sequential palette:" ] }, { @@ -109,34 +167,26 @@ "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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- "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.distplot(x, kde=False, rug=True)" + "sns.relplot(x=\"total_bill\", y=\"tip\", hue=\"size\", data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "When drawing histograms, the main choice you have is the number of bins to use and where to place them. `distplot` uses a simple rule to make a good guess for what the right number is by default, but trying more or fewer bins might reveal other features in the data:" + "In both cases, you can customize the color palette. There are many options for doing so. Here, we customize a sequential palette using the string interface to `cubehelix_palette()`:" ] }, { @@ -146,36 +196,26 @@ "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.distplot(x, bins=20, kde=False, rug=True)" + "sns.relplot(x=\"total_bill\", y=\"tip\", hue=\"size\", palette=\"ch:r=-.5,l=.75\", data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Kernel density estimaton\n", - "\n", - "The kernel density estimate may be less familiar, but it can be a useful tool for plotting the shape of a distribution. Like the histogram, the KDE plots encodes the density of observations on one axis with height along the other axis:" + "The third kind of semantic variable changes the size of each point:" ] }, { @@ -185,34 +225,26 @@ "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.distplot(x, hist=False, rug=True)" + "sns.relplot(x=\"total_bill\", y=\"tip\", size=\"size\", data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Drawing a KDE is more computationally involved than drawing a histogram. What happens is that each observation is first replaced with a normal (Gaussian) curve centered at that value:" + "Unlike with `matplotlib.pyplot.scatter()`, the literal value of the variable is not used to pick the area of the point. Instead, the range of values in data units is normalized into a range in area units. This range can be customized:" ] }, { @@ -222,45 +254,37 @@ "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "x = np.random.normal(0, 1, size=30)\n", - "bandwidth = 1.06 * x.std() * x.size ** (-1 / 5.)\n", - "support = np.linspace(-4, 4, 200)\n", - "\n", - "kernels = []\n", - "for x_i in x:\n", - "\n", - " kernel = stats.norm(x_i, bandwidth).pdf(support)\n", - " kernels.append(kernel)\n", - " plt.plot(support, kernel, color=\"r\")\n", - "\n", - "sns.rugplot(x, color=\".2\", linewidth=3)" + "sns.relplot(x=\"total_bill\", y=\"tip\", size=\"size\", sizes=(15, 200), data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Next, these curves are summed to compute the value of the density at each point in the support grid. The resulting curve is then normalized so that the area under it is equal to 1:" + "More examples for customizing how the different semantics are used to show statistical relationships are shown in the `scatterplot()` API examples." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Emphasizing continuity with line plotsΒΆ\n", + "\n", + "Scatter plots are highly effective, but there is no universally optimal type of visualiation. Instead, the visual representation should be adapted for the specifics of the dataset and to the question you are trying to answer with the plot.\n", + "\n", + "With some datasets, you may want to understand changes in one variable as a function of time, or a similarly continuous variable. In this situation, a good choice is to draw a line plot. In seaborn, this can be accomplished by the `lineplot()` function, either directly or with `relplot()` by setting `kind=\"line\"`:" ] }, { @@ -270,36 +294,29 @@ "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "[]" + "
" ] }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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0cP/sBOc7eJgAXwOxkSZOVzTTbXdg0Msxmvgup+Wel5eHzWZj586dFBcXs3nzZrZt2wZAVVUVH374Ie+++y4ajYbs7GwWLlyIn58fKSkpvPTSSy5/AML7HDvTSHWjhdkpoxgZ6q92HFUkx4VQ1WDmQl0b42JD1I4j3JDTl/yioiIyMjKA3iPwkpKSvm2jRo3ij3/8IzqdDq1Wi91ux8fHhxMnTlBfX09OTg6rVq3i3LlzrnsEwqs4FIUPCy+g0cADd3nfUfsV4+N6C/2MzO8ubsDpkbvZbMZkMvV9rtPpsNvt6PV6DAYDYWFhKIrC73//eyZNmsTo0aNpamriscceY8mSJRw9epS1a9eya9eum95PaKg/ev3AF1eIiHDPyaIkV/84y3Wo5CJVDWbmTYsldcKoIUrlfs/XLF8DW98v4Xy92e2ygfs9X1d4Uy6n5W4ymbBYLH2fOxwO9Pqru1mtVp555hkCAgL47W9/C8DkyZPR6XqLesaMGdTX16Moyk0vDW9p6Rjwg4iICKSxsX3A+7uK5OofZ7kUReGNj06iATKnxwzZY3DX5ysmwsTJc5eoq29Fp3WfcXd3fb48MdfNXhSc/otIT0+noKAAgOLiYpKTk/u2KYrCT3/6U8aPH8+GDRv6Cv3FF1/k9ddfB6C0tJTo6GiPn/NDuN6XZ5qorDczc2Ik0SMC1I6juslJ4XTZeqhqMKsdRbghp0fumZmZFBYWkpWVhaIobNq0idzcXOLj43E4HBw+fBibzcaBAwcAeOqpp3jsscdYu3Yt+fn56HQ6nn32WZc/EOHZehwOduWXo9Vo+N7do9WO4xZSxoTzyaEKzlReJnFUkNpxhJtxWu5arZYNGzZcc1tSUlLfx19//fV193v55ZdvM5oQVx04fpG65g7umRZDVLgctUNvuUPvotmL7vDceezFwLjPQJ0QN2C19fDB5+cxGrT885xEteO4jchQf8KDfDlb3YqiKGrHEW5Gyl24vU+PVtFqtrF4ZrzHLXx9u5LjgjF3dlN7aeAnJAjPJOUu3Fpbh42PD1Vg8jNwnwcvoTdQyXK+u7gBKXfh1nbtL6fL1sP37h7tVTM/3iopd3EjUu7CbZVVt3Lg+EXiIk3cM8075mvvr1Fh/gT5GzhTdVnG3cU1pNyFW+pxOHjj09MA5Cwa71YX6bgTjUZDclwILe1WGlu71I4j3Ij8xAi3tPfLGqoazNw9JYqxscFqx3FrfUMzsvSe+BYpd+F2LputvH/gHAG+eh6an+R8By8n4+7ieqTchVtRFIXXPi6l09rDD+YlEeRvVDuS24uNMOHvo5dyF9eQchdupeCrWo6XX2JSYijz0uRN1Fuh1WoYFxtMw+VOWtqtascRbkLKXbiNi00WdnxWhr+Pnh8vnYhWJpu7ZVfWVZWjd3GFlLtwCw6Hwv95+0us3T2sXJRMWJCv2pGGFRl3F/9Iyl24hQ8+P8+pC83MnBDJnZNGqh1n2EkYGYjRoJVyF32k3IXqjp1p5C9/v8DIMH9yFo+Xuf8HQK/TMjYmmJomC+0dNrXjCDcg5S5UdfGShVf+ehKjQcv//Nc7MPkZ1I40bF0Zmjlb3apyEuEOpNyFajqtdl7Y9TVdth7+dclERkfLxUq3QxbNFt8m5S5U0W138OJ7X1PX3MHiO+JknH0QjI4KQq/TcFrKXSDlLlTgcCj88a8nOVXRwrRxI3joHrkKdTAYDTpGRwVRWd9Op9WudhyhMqdzqDocDtavX8/p06cxGo1s3LiRhISEvu2vvfYau3fvBmDevHmsXr2arq4u1q5dy6VLlwgICOC5554jLCzMdY9CDBuKorA97wxHShtIjg3mJ/+cIpOCDaLkuBDOVrdSVtPKlG+W4RPeyelPVV5eHjabjZ07d7JmzRo2b97ct62qqooPP/yQHTt2sHPnTj7//HNKS0t5++23SU5OZvv27Tz44INs3brVpQ9CDA+KovBewTn2fllDbEQATz6UitGgUzuWR5Fxd3GF03IvKioiIyMDgLS0NEpKSvq2jRo1ij/+8Y/odDq0Wi12ux0fH59r9pk7dy4HDx50UXwxXCiKwp/yy9l9sILIUD9+8XAa/r5yZsxgS4oJRqORche3MCxjNpsxmUx9n+t0Oux2O3q9HoPBQFhYGIqi8Pvf/55JkyYxevRozGYzgYGBAAQEBNDe3u40SGioP3r9wI/iIiICB7yvK0mu3mJ/9S8n+PhQJTERAfzn43MID/ZTPVd/DKdcSTHBnL/YTlCIPz4q/WY0nJ4vd+CKXE7L3WQyYbFY+j53OBzo9Vd3s1qtPPPMMwQEBPDb3/72O/tYLBaCgoKcBmlpGfgCvxERgTQ2On8BGWqSq7fY3847S15RNVHh/qxZnobDZr/u/cvz1T83yjUmKoiy6laOHK9hfHyo2+RSmyfmutmLgtNhmfT0dAoKCgAoLi4mOTm5b5uiKPz0pz9l/PjxbNiwAZ1O17dPfn4+AAUFBUyfPn1AwcXw5lAU3txzhryiamIiAvgf2emEmHzUjuXxrlzMJKdEejenR+6ZmZkUFhaSlZWFoihs2rSJ3Nxc4uPjcTgcHD58GJvNxoEDBwB46qmnWLFiBU8//TQrVqzAYDCwZcsWlz8Q4V4cisIbn5wmv7iW2AgTv1yRJnOzD5Fx36xcJePu3s1puWu1WjZs2HDNbUlJV89L/vrrr6+73/PPP3+b0cRw5fhmwY3Pj18kfqSJX2ZNk2kFhlCgv5GYEQGU1bRi73Gg18mppt5IvutiUDkcCrm7T/H58Yskjgpk7QopdjUkx4Vg63ZQUe9+Y8xiaEi5i0HT43Dwx90nKSypY3RUEL/MSiNATndUhczvLqTcxaBwKAqv7i7l0Il6kmKCWLNczmNXU1+5V0q5eyspdzEo/rS/nIMn6hgTHcRTD6fh7+v07RzhQqGBPkSG+HGmuhWHQ1E7jlCBlLu4bZ8eruRvX1QyKsyfnz2Uip+PFLs7SI4LodNqp7rRrHYUoQIpd3FbvjhZz469ZQSbjDy1fCqBcrqj25Bxd+8m5S4GrLK+nVc/OoWfj46nHk5jxA2mFBDqSI6XcvdmUu5iQDq6utn65xK67Q7+/YFJxEWanO8khlREsC+hgT6cqbqMosi4u7eRchf95lAU/vjXUzRc7uT+2QlMGxehdiRxHRqNhuS4ENo6uqlrHvjcTWJ4knIX/fa3LyopLmtiYkIoD2aMVjuOuAkZd/deUu6iX6oazPy54BwhJqOsojQMSLl7L/nJFLfM3uPg1d2n6HEoPLpkIkEBcmaMu4sO98fkZ5By90JS7uKWffxFJRX17cyZMorUJFmfczi4Mu5+qc1KU2un2nHEEJJyF7ekutHMh5+fJ9hkJGvBOLXjiH64MjRztqpV5SRiKEm5C6euTOHb41D40eIJMhnYMHNl0exTlS0qJxFDScpdOHXoRB3natuYOSGStHEj1I4j+iku0kSAr56TF5rlfHcvIuUubqrLZudP+8sx6LX8cH6S8x2E29FqNUxMDKO5zSrnu3sRKXdxUx8fquSy2cbiO+JleoFhLCWxd6HskxdkaMZbSLmLG7rU2sXfDlcSYjKydFa82nHEbUhJDAPg5IVmlZOIoeJ0blaHw8H69es5ffo0RqORjRs3kpCQcM3faW5uJisri7/85S/4+PigKApz584lMTERgLS0NNasWeOSByBc50/55XTbHSybl4SvUabxHc5GhPgRGepHaWULPQ6HXHzmBZz+xObl5WGz2di5cyfFxcVs3ryZbdu29W0/cOAAW7Zsoampqe+2yspKUlJSeOmll1yTWrhcVYOZL07WkzAqkNmTR6kdRwyCSYlh7D9Ww/nadsbGBqsdR7iY03IvKioiIyMD6D0CLykpuWa7VqslNzeXZcuW9d124sQJ6uvrycnJwdfXl1/96leMGTPmpvcTGuqPXq8byGMAICIicMD7utJwzfXK7lMAPPpACiMjg4YiEjB8ny+19CfX7NRo9h+r4UKDmdnTYl2YyjOer6HkilxOy91sNmMyXZ3OVafTYbfb0et7d50zZ8539omIiOCxxx5jyZIlHD16lLVr17Jr166b3k9Ly8DfxY+ICKSx0f1WeR+uuSrr2zn49UXGRAcRH+43ZI9huD5faulvrphQXzQaOHyyjoXpMW6Ta6h4Yq6bvSg4LXeTyYTFYun73OFw9BX7jUyePBmdrvcofMaMGdTX16MoChqN5lYzCxV98Pl5AB68e7R8zzyIv6+B0VFBnKtpo9Nql+UQPZzTd1XS09MpKCgAoLi4mOTkZKdf9MUXX+T1118HoLS0lOjoaCmJYaKirp1jZ5sYGxNMyugwteOIQTYpMQyHolAqV6t6PKcv3ZmZmRQWFpKVlYWiKGzatInc3Fzi4+NZsGDBdfd57LHHWLt2Lfn5+eh0Op599tlBDy5c48pR+/cy5KjdE6UkhvLXv1/gxPlmWWTFwzktd61Wy4YNG665LSnpu1cq7t27t+/j4OBgXn755UGIJ4ZSdYOZ4rImxsYGMykhVO04wgWSYoLx89FxvPySDJV6ODnZVfT52+FKAJbOSpAfeg+l12lJGR1OU2sXFy/JVASeTMpdANDc1sUXJ+uJCveXudo93NRvvr9flTc5+ZtiOJNyFwDsOVpFj0Phvjvj0cpRu0ebkhSOBviq7JLaUYQLSbkLOrq62V9cS7DJyKxJcjWqpwvyNzImOoiy6lYsXd1qxxEuIuUu2F9ci9XWw6IZcRj08k/CG6SOHYFDUSg5JxOJeSr5SfZy9h4He45W4WvUMS/NdVctCvci4+6eT8rdyx093UCr2cbcqdH4+8oVi94iLtJEaKAPX5dfwuGQ1Zk8kZS7l/usqBoNMN+Fc40I96PRaJiaFI6ly055rSyc7Ymk3L3Yhbo2ymvamJIUzshQf7XjiCGWmtS7Hm5xmQzNeCIpdy+2t6gGgHvTXTv9q3BPExNDMeq1fHmmSRbO9kBS7l7K3NnNoZP1RIb6MXmMTBDmjXwMOlKTwqlv7qC60eJ8BzGsSLl7qYKvarH3OLg3PVYuWvJiMyZEAnCktEHlJGKwSbl7oR6Hwr4vqzEatNw9RS5a8mZTk0Zg1Gs5UtogQzMeRsrdCx05WcelNit3pYzC39egdhyhIh+jDM14Kil3L7T7mznb750ub6QKGZrxVFLuXqa2yULx2UYmxIcQG2FyvoPweFeGZo7K0IxHkXL3Mnu/rAbk9EdxlY9Rx5SkcOqaO6iRoRmPIeXuRTqtdgpL6hgR7Mu05BFqxxFuZKYMzXgcp+XucDhYt24dy5cvJycnh4qKiu/8nebmZhYtWoTVagWgq6uLJ554guzsbFatWkVzs8w85w7+XlKH1dbDkrtGo9PK67q4KjUpHKNBy6GTdThkaMYjOP0Jz8vLw2azsXPnTtasWcPmzZuv2X7gwAF+/OMf09R09RLmt99+m+TkZLZv386DDz7I1q1bBz+56BeHovBZUTV6nYZFdyaoHUe4GV+jnpnjI2m83MWZystqxxGDwGm5FxUVkZGRAUBaWholJSXXfgGtltzcXEJCQq67z9y5czl48OBgZhYDcOpCC3XNHcycMJKQQB+14wg3dHdqFAAHjl9UOYkYDE7neDWbzZhMV8+q0Ol02O129PreXefMmXPdfQIDAwEICAigvb3daZDQUH/0et0tB/9HERGBA97Xldwl1+d/OQnAQwuTAffJ9Y8kV/8MZq4RI0xEfXqGojON/MzkS4DfwK+B8IbnazC5IpfTcjeZTFgsV99BdzgcfcV+K/tYLBaCgoKcBmlpGfhK7BERgTQ2On8BGWrukqvpcieHT9QxOiqIUL/e75075PpH7vJ8/SNvynVXykh25Z/jo8/LuWeAi7d40/M1GG4n181eFJwOy6Snp1NQUABAcXExycnJTu8wPT2d/Px8AAoKCpg+ffqtZhUusPdYDQqwYLrM2S5u7q7JUWg08LkMzQx7To/cMzMzKSwsJCsrC0VR2LRpE7m5ucTHx7NgwYLr7rNixQqefvppVqxYgcFgYMuWLYMeXNwaa3cPB76qJdDf0He6mxA3Ehrow5Qx4Rwvv0RNo5kYudBt2HJa7lqtlg0bNlxzW1JS0nf+3t69e/s+9vPz4/nnnx8ZHm6qAAAS10lEQVSEeOJ2HTpRh6XLzgN3JWK4jfc0hPe4e0oUx8svceD4RbIWjFM7jhggOdnZgymKQl5RNTqthvnTZEhG3Jq0cSMI9DdQ+PVFrN09ascRAyTl7sFKKy9T02hh+vgIQuX0R3GL9Dot89JisHTZOXiiTu04YoCk3D3YZ0W988gsnBGnchIx3MyfFoNOqyHvaLVMJjZMSbl7qKbLnRw720jiqECSop2fiirEt4UG+jBzYiS1TRZOnJfpQ4YjKXcPtfdYDYoCC6bHopFl9MQALJ4ZD8BHh747n5Rwf1LuHshq66GguJYgfwN3TBypdhwxTCWMCmTymDBKKy9TVt2qdhzRT1LuHujgyTo6rHbmpcVg0Mu3WAzcA7MTAfjrwQtqxhADID/5HkZRFD472nv64z1y+qO4TclxISTHhXC8/BLlNXL0PpxIuXuYUxUt1DRZmDEhUk5/FIPiB3PHAPBewTmVk4j+kHL3MB9/8+bXoply+qMYHMlxIUwZE86pihZKzl9SO464RVLuHqSirp0TF1qYEB/C6Cg5/VEMnmXzxqABdn5WRo/DoXYccQuk3D3I3w5XArBklqy0JAZX/MhA5qZFU9NkYd+XNWrHEbdAyt1DNF7u5PCpemIjTEweHaZ2HOGBvj93DH4+ev584Dwt7Va14wgnpNw9xKeHq1AUWDIrXi5aEi4R5G/koXuS6LTaefPT0zItgZuTcvcA7R02DhyvJTzIV+ZsFy41Ly2a5LgQjp1t4vCpBrXjiJuQcvcAnxyuwmZ3sOiOOPQ6+ZYK19FqNPzrkgkYDVr+3yenabrcqXYkcQPSBMNcm8XGZ0XVhJiMzJsarXYc4QVGhvnzSGYynVY7f/jwBPYeOXvGHUm5D3Mff1GBtbuH+2cnYjTISktiaNw9JYpZk0ZSXtvGm5+ekfF3N+R0mT2Hw8H69es5ffo0RqORjRs3kpBw9VS7d955hx07dqDX63n88ceZP38+ly9fZvHixX2LaS9cuJAf/ehHrnsUXuqy2creL2sIDfRhrhy1iyGk0Wj40ZIJ1F6yUPBVLdHh/iy6I17tWOJbnJZ7Xl4eNpuNnTt3UlxczObNm9m2bRsAjY2NvPHGG+zatQur1Up2djZz5szh5MmTPPDAA/zmN79x+QPwZh8dqqDb7uCf7kqUCcLEkPMx6HjiB6lsfOMoO/aWEeBnYM6UKLVjiW84bYSioiIyMjIASEtLo6SkpG/b8ePHmTZtGkajkcDAQOLj4yktLaWkpIQTJ06wcuVKnnzySRoa5F31wdbSbmX/sVpGBPtyd6r8QAl1hAf7smZ5Gv4+el796BSFX19UO5L4htMjd7PZjMlk6vtcp9Nht9vR6/WYzWYCAwP7tgUEBGA2mxkzZgyTJ0/mrrvu4sMPP2Tjxo08//zzN72f0FB/9PqBjxlHRAQ6/0sqcFWuN/POYu9xkL14AlGjgvu9v7c9X7dLct08w+/+4y7WvXyQ/7v7FFq9jn/KGOOW11u4w/N1Pa7I5bTcTSYTFoul73OHw4Fer7/uNovFQmBgIKmpqfj5+QGQmZnptNgBWlo6+h3+ioiIQBob2we8v6u4Ktf5i23sPVpFXKSJ1MTQft+Htz1ft0tyORfqp2dtVhr/9c5XvPJBCWcrW1ixYCyG2zhgG2zu9Hx92+3kutmLgtNhmfT0dAoKCgAoLi7ue5MUIDU1laKiIqxWK+3t7ZSXl5OcnMyvf/1rPvnkEwAOHjxISkrKgIKL71IUhe15ZwDIXjgOrdb9jo6Ed4ofGchv/mUGiVFB7D9Ww+9eP0p1g1ntWF7L6ZF7ZmYmhYWFZGVloSgKmzZtIjc3l/j4eBYsWEBOTg7Z2dkoisIvfvELfHx8WLNmDc888wxvv/02fn5+bNy4cSgei1f44mQ95TVtzBgfwfj4ULXjCHGN8GBf/tcTGWx9t5h9x2rY8PoRfjA3icyZsei08qb/UNIobnKC6u38uuSJv25dj9XWwzOvHKK9o5tNq+5kRIifW+QaLJKrf9w911dlTeR+dIq2jm6iwv354fyxTE0KV20s3t2fr4HueyPyUjqMfPB572x8990ZP+BiF2KoTB07gg3/fifz0qKpa+7g+T8d53/vKOZ0ZYtc9DQEnA7LCPdQVt3KJ4criQz1436Zr10ME0H+Rn503wQWTI/lnX1llJxr5lRFC0nRQSyZlUDa2BHyvpGLSLkPA9buHv7v7pMA/HjpRHyM7nMGghC3IjbCxFMPp1FW08rHhyo4draJF9/7mvAgX+alRZMxNZrgAKPaMT2KlPsw8OeCc9S3dLJoZhzJcSFqxxFiwMbGBPPEslRqmizkHa3i0Il63is4xwefn2f6+AjmT4shOS7ELc+RH26k3N3c6coW9hypYmSYf98q9EIMdzEjAvjRfRN4eP5YDp6oY9+xGg6fauDwqQaiwv25Nz2W2Smj8PeVihooeebcWKvFxksfnkCj0fBv90+UWR+Fx/Hz0XNveizzp8VwtrqV/cdqOHq6gbf2nOFP+8uZnTKS+emxxEWanH8xcQ0pdzdl73Hwhw9KaDXb+OH8JMbG9H+KASGGC41GQ3JcCMlxIWRZxnHgeC37j9Wwv7iW/cW1jI0N5t5pMcyYECkL0twiKXc3pCgK2/ecobTyMtPGjeA+mUpVeJGgACP3z05kyZ0JHC+/xN4vqyk530xZdSvv7Ctj4Yw45qVFE+BrUDuqW5Nyd0OfHK5if3EtcZEmVv3TJHlzSXglrVZD2rgRpI0bQX1LB3uLaig4Xsuf9pfzl8ILZKRGkTkzjgi55uO6pNzdTH5xDe/sKyM00IefPZSKr1G+RUKMDPVnxcJxfO/uRPK/qiXvaDV5RdV89mU108dHsviOOJKiZejy26Q53Mj+YzW88clpTH4GfpmVRliQr9qRhHAr/r4GltyZQOaMOI6cauCTw5UcLW3gaGkDY2ODWTwznmnj5MIokHJ3C4qi8NGhCnblnyPQ38Ca5WlEhQeoHUsIt6XXaZk9eRSzUkZSWtHCJ0eqOF5+ibLqr4kI8SVzRhx3p0Z59W++3vvI3YStu4c3PjlNYUkdoYE+/DJLil2IW6XRaJiYGMbExDBqmizsOVLF30vq2J53lvcPnGfetGgWpMd65W/BUu4qunjJwrb3T1DdaGZ0VCBPLEslxOSjdiwhhqWYEQE8umQCP5g7hn3Hatj7ZTUfH6rk08NVpI0dwT/fM5aYUF+0XnKCgpS7CrrtDj49UskHn1/A3uPgnrRoshaMk4uUhBgEQQFGvnf3aJbOiufgiXryjlZTdKaRojONjAjunctmzpQojz+QknIfQg6Hwt9L6vjg83NcarMSHGBk5aLxTB8foXY0ITyOQa9j7tRoMlKjOHexjcOljeQfq2ZX/jneyz/H+PgQZk6IZPr4SII8cNIyKfch0NHVzcET9ez9spqLlzrQ67QsviOO+2cnYvKTCzGEcCWNRkNSdDCzpsbyvbsS+eJkHQdP1lNaeZnSysu8uecME+JDSU0KZ1JiGLERAR5xbYmUu4t0dHVTeLyW/KOVHD3dSLfdgVajISM1iu/dPdor3+ARQm3+vnrmp8cyPz2W5rYujpY2cLi0gVMVLZyqaAF6h3UmJYQyPj6ExFFBxEQEDMspD5yWu8PhYP369Zw+fRqj0cjGjRtJSLi6WMQ777zDjh070Ov1PP7448yfP5/m5mZ++ctf0tXVRWRkJM8++yx+fp57FZm9x0Hj5U4q6tupqGunvLaNczVtOL5ZbSYy1I+5U6OZM3kUwR4+zifEcBEW5MuiO+JZdEc8Le1WTl5o/ub/Fg6drOfQyXoA9DoNMREmEkYGEhXuT2SIHxGhfkSE+OHjxu+TOS33vLw8bDYbO3fupLi4mM2bN7Nt2zYAGhsbeeONN9i1axdWq5Xs7GzmzJnD1q1beeCBB/jBD37Ayy+/zM6dO3n00Udd/ViuS1EUlCt/Kt+6TaH3f65+7FAUbN09dNsd2OwObPYeurt7P+6292DpstPeYaO9o5v2jm5aLVYaL3dyqdXaV+QAGg2MiQ7izsnRjBlpYnRUoEf8mieEpwoN9GHOlCjmTIlCURRqmiyU1bRSUdd7wFbdaKai7rvrnAYFGAkOMBIUYCTI30hQgIEAXwO+Rh0+Rh1+Rj2+Rh2+Rj1GgxadTotep0Gv7f1Tp9MS1uNwyWNyWu5FRUVkZGQAkJaWRklJSd+248ePM23aNIxGI0ajkfj4eEpLSykqKuInP/kJAHPnzuW//uu/XFLuPQ4HG18v4uIlCw6FvnUZFeVqqbtacICRMdFBRIb6ET8ykMRRgcRFmvDz0bvtgrxCiBvTaDTERpiIjbg6zbC9x0Ftk4WGlk4aLnfS0NL5zYFdFw2XO6lqMA/4/mIiTGz48cxBPwB0Wu5msxmT6eqD1Ol02O129Ho9ZrOZwMCrq28HBARgNpuvuT0gIID2ducFFxrqj17fv19xFEVhTGwwRqOu99zV3v/QaDRoNFf/vHJea99tgEarufbvokGn02DU6zAatPgYdBgMVz82GnSY/AwEm3x6X61NPgSbjE6vgLvZ6uRqklz9I7n6xxNzRY268dw1XTY7rWYbl9u7sHTa6bTa6bR202Ht/bjL2oO1uwe73YG9x0F3j6Pv48SoYCIjgwac60aclrvJZMJisfR97nA40Ov1191msVgIDAzsu93X1xeLxUJQkPPgLS0dA8lPTmayOkfIPT20t3Zys3t11yN3ydU/kqt/vDWXFgjzNxDm378z4G4n181erJy+BZyenk5BQQEAxcXFJCcn921LTU2lqKgIq9VKe3s75eXlJCcnk56eTn5+PgAFBQVMnz59QMGFEEIMjNMj98zMTAoLC8nKykJRFDZt2kRubi7x8fEsWLCAnJwcsrOzURSFX/ziF/j4+PD444/z9NNP88477xAaGsqWLVuG4rEIIYT4hkZRlKF439Gp2/l1yVt/DRwoydU/kqt/JFf/qDYsI4QQYviRchdCCA8k5S6EEB5Iyl0IITyQlLsQQnggtzlbRgghxOCRI3chhPBAUu5CCOGBpNyFEMIDSbkLIYQHknIXQggPJOUuhBAeSMpdCCE8kEeVe3l5OdOnT8dqtaodBYCOjg4ef/xxsrOz+bd/+zeam5vVjgRAe3s7//Ef/8HKlStZvnw5x44dUzvSNfbs2cOaNWvUjoHD4WDdunUsX76cnJwcKioq1I7U56uvviInJ0ftGNfo7u5m7dq1ZGdn89BDD/HZZ5+pHQmAnp4efvWrX5GVlcUjjzxCZWWl2pH6XLp0iXnz5lFeXj7oX9tjyt1sNvPcc89hNBrVjtLnnXfeISUlhe3bt3P//fezdetWtSMBkJuby6xZs3jzzTd59tln2bBhg9qR+mzcuJEtW7bgcLhm0eD++Pbi8GvWrGHz5s1qRwLglVde4de//rXbHMRc8eGHHxISEsL27dt55ZVX+N3vfqd2JAD27dsHwI4dO3jyySd59tlnVU7Uq7u7m3Xr1uHr6+uSr+8R5a4oCr/5zW946qmn8PPzUztOn0cffZTHH38cgNraWkaMGKFyol6PPvooWVlZQO9RjY+Pj8qJrkpPT2f9+vVqxwBuvji8muLj43nhhRfUjvEd9913Hz/72c/6Ptfp+rcmsqssXLiw74XGnX4On3vuObKysoiMjHTJ13e6EpO7effdd3n99devuS06OpqlS5cyYcIElVJdP9emTZtITU3lX/7lXzhz5gy5ublulauxsZG1a9fyzDPPuE2upUuX8sUXXwx5nuu52eLwalq8eDHV1dWqZriegIAAoPd5e/LJJ/n5z3+ucqKr9Ho9Tz/9NHv27OH5559XOw7vvfceYWFhZGRk8PLLL7vmThQPsHDhQmXlypXKypUrlcmTJyvZ2dlqR/qOsrIyZcGCBWrH6FNaWqosXbpU2b9/v9pRvuPQoUPKz3/+c7VjKJs2bVJ2797d93lGRoaKaa5VVVWl/PCHP1Q7xnfU1tYq3//+95V3331X7SjX1dDQoNxzzz2KxWJRNUd2drbyyCOPKCtXrlSmT5+uLFu2TGloaBjU+xh2R+7Xs2fPnr6P7733Xl599VUV01z1hz/8gZEjR/Lggw/i7+/vNr+mlpWV8bOf/Yz//u//VvW3HXeXnp7Ovn37WLp06XcWhxff1dTUxI9//GPWrVvH7Nmz1Y7T5/3336e+vp6f/OQn+Pn5odFoVP9ZfOutt/o+zsnJYf369URERAzqfXhEuburZcuW8fTTT7Nr1y56enrYtGmT2pEA2LJlCzabjf/8z/8EwGQysW3bNpVTuZ/rLQ4vbuyll16ira2NrVu39p088Morr7jsDcNbtWjRIn71q1/xyCOPYLfbeeaZZ9zqfSZXkSl/hRDCA3nE2TJCCCGuJeUuhBAeSMpdCCE8kJS7EEJ4ICl3IYTwQFLuQgjhgaTchRDCA/1/3187DUBk6yUAAAAASUVORK5CYII=\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "density = np.sum(kernels, axis=0)\n", - "density /= integrate.trapz(density, support)\n", - "plt.plot(support, density)" + "df = pd.DataFrame(dict(time=np.arange(500),\n", + " value=np.random.randn(500).cumsum()))\n", + "g = sns.relplot(x=\"time\", y=\"value\", kind=\"line\", data=df)\n", + "g.fig.autofmt_xdate()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We can see that if we use the `kdeplot` function in seaborn, we get the same curve. This function is used by `distplot`, but it provides a more direct interface with easier access to other options when you just want the density estimate:" + "Because `lineplot()` assumes that you are most often trying to draw y as a function of x, the default behavior is to sort the data by the x values before plotting. However, this can be disabled:" ] }, { @@ -309,34 +326,29 @@ "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.kdeplot(x, shade=True)" + "df = pd.DataFrame(np.random.randn(500, 2).cumsum(axis=0), columns=[\"x\", \"y\"])\n", + "sns.relplot(x=\"x\", y=\"y\", sort=False, kind=\"line\", data=df);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "The bandwidth (``bw``) parameter of the KDE controls how tightly the estimation is fit to the data, much like the bin size in a histogram. It corresponds to the width of the kernels we plotted above. The default behavior tries to guess a good value using a common reference rule, but it may be helpful to try larger or smaller values:" + "#### Aggregation and representing uncertainty\n", + "\n", + "More complex datasets will have multiple measurements for the same value of the x variable. The default behavior in seaborn is to aggregate the multiple measurements at each x value by plotting the mean and the 95% confidence interval around the mean:" ] }, { @@ -345,38 +357,36 @@ "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] }, { "data": { - "image/png": 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0vpsub5j8fK2i4Vg9cpNRz9xZ2dQ2ewiEosnjZoMZQMIrQlogQi5kBHt6UwizsuPA2D1ygIrZOagqHDvV13DZrDcBSHhFSAtEyIWM4MCJTgx6BcWoZZ9kmce22AkwvyQbgBOnepLHzHrxyIX0QYRcOOPx+MOcbPawoMSJL+rDbrBh0A3dNGIo5hb3CnljX1lb8ciFdEKEXDgjUFWVnc2V7GreM+jcwdpOVGDpnFy8YS8O09i9cYAchxlXlpnjjT3Juit9HrkIuTD9iJALZwR/q9vKpv2/4ef7f01HsHPAuQM12s7MJXNy8EX8ZJns455/XnE2Pb4wnR5NuC2y2CmkESLkwhlBZcu+5OM3GrYlH6uqyv4TndgtBvJydaioOIzj88gB5s7SwivHe+PkydBKVDxyYfoRIRdmPJF4lDpPA0X2Qkx6E1VtB5PnWjoDtPcEWVLuwhPRYtxOc/a471FWqIl/fasXkMVOIb0QIRdmPHWeBqJqjIqc+czJKqXR14w/onX22d8bVlk6J5eukJY+mHMaQj7brQl5XUtCyDWPPCgxciENECEXZjz1ngYA5mSXMs9ZjopKTc9JAPaf6BXyuf2F3DnuezjtJhxWIw29tcllsVNIJ0TIhRlPR1DbPp9vzWOusxyAE921xOJxDp3sxJ1joSDHSldIi2+fjpArikJpgYOWrgDBcFRCK0JaIUIuzHgSWSq5lhzKsmcDUOdt4ESjh0AoxrI5Wu3xruDpe+QAJW4t26Wh1dcvj1yEXJh+RMiFGU9nqAudoiPblEW2KQunKYs6z6lk2uHShJBPILQCUOruW/CU0IqQToiQCzOejmAXTlM2+t7dmrOzSugKdbOvthFFgSVztFK0XaFubAYrJv3ILd6GY3ZBr5C3+DAbJP1QSB9EyIUZTSweozvUQ64lJ3ms1DELgNqeBuYUZWO3GFFVlY5gJ65+48bLrHw7CppHbpEYuZBGiJALM5quUA8qKrkWV/LY7KwS7YGlm2VztePd4R7C8QgF1tFbvA2H2ainINdGfasXvaJHr+gltCKkBSLkwoymJ6xt8sk29ZWlLc3SPHLF7mFpuRYfb/FrZWwLbO4J3W+2244vGKXTE5J2b0LaMKqQx+Nx7r33Xm644QZuvPFGamtrB5z/9a9/zYc//GE+8pGP8Oqrr06ZocKZRSweo7JlH7U9dROaxx/VNv7YjLbksVyLC2IG9PYe5pdoC5st/lYA3LbT98ih/4KnT9q9CWmDYbQBW7ZsIRwOs3nzZiorK9m4cSNPPPEEAB0dHfzmN7/h+eefJxQKcc0113DJJZegKMqUGy7MbHa17OF/DjwDwL3nf4lCe8FpzRPobaZsM1iSx7o8YWK+LPRZncSIYMSc9MgLJyjkJQMyV0x4It4JzScIk8GoHvmuXbtYt24dACtXrqSqqip5Ljc3lz/84Q8YjUba2trIzs4WERfGxPHu2iEfj5ekR26wJo8dqOkk7ssBheQOz2Z/CwDuCcTIAWbla55/Y7sPs8EsoRUhLRjVI/d6vTgcfdXi9Ho90WgUg0G71GAw8Ktf/YrHHnuMG2+8cdQbulw2DIaxF/V3u8fekitVpKNNMLPsOvXuqeTjlmjzaduutGqt24rz85JzHG86TNzjguITNEYauDB/JTWeOtz2POaVFI9o12i4cu3odQptPSGyy21Ee6K48sbXqGI00vH3mI42gdiVYFQhdzgc+Hy+5M/xeDwp4gk+8YlPcP3113Pbbbexbds21q5dO+x8nZ3+MRvndmfR2uoZfWAKSUebYGbZFYlHqemqZ5a9iGZ/K9UtJ07b9tZubXt+2AetrR5UVWV3dQsOfQFRFPY0HGKxYwnesI8lrkXJ+0zk9SpwWalv9rBsmSbeDU3t2IzWUa4aG+n4e0xHmyDz7Brpw2HU0Mrq1avZunUrAJWVlVRUVCTPHT9+nDvvvBNVVTEajZhMJnQ6SYQRRqbV30ZMjTEnu4xZ9kIavI3E1fhpzRWIJBY7NSGtb/XR4wuzrLSIsqzZHOuuYWfTuwDMz5kzKfYX5drwBaPoVM2hkQVPYboZ1SNfv349b731Fhs2bEBVVR588EE2bdpEWVkZl19+OYsXL+aGG25AURTWrVvHmjVrUmG3MINJbJXPteTgj/qp857q7dwz/oYP742RJ6sdznGh5p7Hb6vr+EvtK+gVPcvyFk2K/UV5NjgCsYjmtIiQC9PNqEKu0+m4//77BxybP39+8vGdd97JnXfeOfmWCWcsiSqETrMTX2/WSWew6/SEPDJQyPvXV7Fac/m/k6/TFmhnXcnaAZuGJkJRrrbgGQ4nhFwWPIXpZVQhF4TJprtfgwd/tFfIQ92UMXvcc/mjAUx6E3qdnkg0xuG6Lkry7biytC3096z5Ise7ayctrAJQnKdVQQwGAEU8cmH6ESEXUk5XOOGRZydDI52hrtOayx8NJL3xo/XdhKPxZLVDAKPeyKLcBRO0eCAJj9zvV8EuHrkw/cjKpJByuvuVk3WZtSJWiVrh4yXQT8gP1Gp1yRP1VaYKh9VIls2Ix6sCEJQKiMI0I0IupJyuUA9GnQGbwZqsDZ5YAB0PcTVOIBpMZqzsP9GBXqewqHRqhRygONeGx6dl2kjfTmG6ESEXUk53qAen2YmiKOSYs1FQTkvIA9EgADaDDW8gQm2ThwUlTsymyducMxxFeXbUqHafsIRWhGlGhFxIKaqq4o34yDJqGSp6nR6b0Yon4hvlysH0z1g5WNuJipZ2mAqKcm0QlzxyIT0QIRdSSiAaJK7GsferVmg32vCFT0PIezNerEZLX/743NyRLpk0ivNsqDHNI5fFTmG6ESEXUkoib7y/kDuMdnxR/7h3dyY3A+mtHKjpwGY2MLcoe/KMHYGiPBvERciF9ECEXEgpvqjmeQ/0yO3E1TjB3pj3WEnEyKMRA23dQZbMcaHTpab6Zr7Tgk7Ven9KaEWYbkTIhZTS55Hbk8ccvY+944yT+3vnamuPAnDWvLzJMHFM6HU68nqrgkoDZmG6ESEXUspwoRUAb2TslTGhL7TS2BIBYHmK4uMJipyakPsi4/smIQiTjQi5kFKGEvLEY9+4PXJNyOsaQ8zKt5ObbRnlismlKDcLNa7gC4mQC9OLCLmQUhJi7RjKIx9n5krCI4+E9Cn3xgEKXVaIG/CLRy5MMyLkQkoZMkZuOs0Yea+QqzEDy+dNg5DnaimIkrUiTDci5EJKGTq0Yh9wbqwkmkqYMLOoNGeSLBw7hS4tBTESFyEXphcRciGlJIXc0D+0cnox8p6QDzWuo6I0D+M4+sBOFq5sM0rcQIxIyu8tCP0RIRdSSiAWxKAzYNQbk8dON2ulO+iDqJGVC/In1caxolMUjDoT6OJEY9FpsUEQQIRcSDHBaBCrfmB2icVgQafoxh0jD0QDqNMo5AAWg9bAos07/hIDgjBZiJALKSUQDSbFL4FO0WE32MYVWvEEQsSUMGa9OeVph/2xGbV7N7SfXj11QZgMRMiFlBKIBrEaBguv3WQfl0e++2gTigI51vH3+ZxMHGbtuTR19UyrHUJmI0IupIxYPEYkHsHS29GnPw6jDX8kMObCWe8ebwSgIDs1RbKGw2nVFmqbu73TaoeQ2YiQCykjENM2zgzlkTuMdlTU5G7NkYhE41SfagEg3541uUaOE5dNW6ht83im1Q4hsxEhF1JGorrhexc7oS+vfCzhlaoT7UTiWqEqW7989Okg26p9u+jwikcuTB8i5ELKSJSdfe9iJ/RtChqLkL9T1QQGLXc70a9zukg8l+5AgLiqTqstQuYiQi6kjISQDxdagdGF3B+MUHm0nRyn9ta1DRFvTyVmvSbkUSJ0eaScrTA9iJALKSOY9MiHD634R9kUtONQC9FYnPJZmoBap13ITdoDXYzmjvFtaBKEyUKEXEgZI3nkfaVsRxbDd6qaACjI13aGpotHruijNHeOvlArCFOBCLmQMvqyVgaL71gKZ7V1BThc383ishzQp0eMPCHk6GI0d4pHLkwPIuRCykiGVvRDLHb2ivtIQv76nlMAXLC8qK/x8rR75FpoRdHHaO4Qj1yYHkTIhZQxcmil1yOPDi3koXCM195twGE1cv6SwmS++XSnHyY8coNRPHJh+hAhF1JGcAQhTxwbbrHz7apGfMEol60uwWTU448G0Ct6TDrjkONThdmgeeRmC7R2BYjHJQVRSD0i5ELKCIyQtaLX6bEarEOGVuKqyss76jDoFS5dPRsAf9SP1WBBUZSpNXoUEh650RwnGlNp75G2b0LqESEXUkZisdMyxM5O0DJXhqqAuPdoO82dAdYuLcJp1zzgQCQ47QudAEadAb2iR2/QasRICqIwHYiQCykjGA2iU3R9udfvwW6w4YsGUPvtkIzHVX7/xnEU4Io1pQCoqoo/GsBmmN74eAKz3oSijwFICqIwLYiQCykjGA1h0ZuHDYfYjTai8SjheF/rtHf2N1HX4uV9y4uY7dZK1objEWJqbNozVhKY9WZUResQJB65MB0YRhsQj8e57777qK6uxmQy8cADD1BeXp48/4tf/IIXX3wRgIsvvpg777xz6qwVZjTD1SJPkAiV+CN+zHoT4UiM3209jkGv458vmpccl1gQTYfQCmgeuSemhYSaJHNFmAZG9ci3bNlCOBxm8+bN3HXXXWzcuDF5rq6ujhdeeIFnnnmGzZs38+abb3Lo0KEpNViYuWjdgYYXcvt7ene+vKOOTk+I9efNHtAFKF1yyBOY9WbC8RBZNiMtkksuTAOjCvmuXbtYt24dACtXrqSqqip5rqioiKeeegq9Xo9OpyMajWI2D97sIQhxNU4oFhp2oRP6b9P30dTh549v15BtM3LN2vIB4/ry0dNDyC0GM5F4lAKXmbbuINHY2JpjCMJkMWpoxev14nD0tdPS6/VEo1EMBgNGo5Hc3FxUVeXb3/42S5cuZe7cuSPO53LZMBj0YzbQ7Z7exgFDkY42QXrb5Q8HUFFx2h3D2lnY6QJAb1H51R8PE4nGuetj51BemjtgXG1YWwx15+RM6DlP1uvltDugE0pmWTnW4CWu1+N2n34LunT8PaajTSB2JRhVyB0OBz5fX0pYPB7HYOi7LBQK8bWvfQ273c7Xv/71UW/YOY4YotudRWtrenVeSUebIP3t6gx2AaCPGYa1Uw1pH/CvVR7jwAkz51S4qZg1+Hk1tnf0jted9nOezNdLF9X+HmxmzRM/cLQVE6e3MSgdf4/paBNknl0jfTiMGlpZvXo1W7duBaCyspKKiorkOVVV+cxnPsOiRYu4//770evH7mkLmcVI2/MTJLbb7z5+CrvFwCeuqBhyXLrFyBPNJbKd2vu/RTJXhBQzqke+fv163nrrLTZs2ICqqjz44INs2rSJsrIy4vE427dvJxwO88YbbwDwxS9+kVWrVk254cLMYqRdnQkShbNiSohPXL4Qp2Po9Za+OivpIeSJD6csba1WcsmFlDOqkOt0Ou6///4Bx+bPn598vG/fvsm3SjjjCPR60UP160xwtFYb43IpvG950bDjEh65NU02BCU+nHrbd9IkHrmQYmRDkJASgjGtDdpwHrk/GOGPb2hlamcVGEesoRJIt9BKot2bEibHYaJFcsmFFCNCLqSE0WLkz71+HI8njoJCVBm592VfaGV47z6VJJ5TMBqi0GWjoydEOBKbZquETEKEXEgJI5WwbWz38VplA8V5dmxG26jt3vzRAApKX3eeacaSFPIghbk2VKClS+LkQuoYNUYuCJPBSIudL7xVg6rChy6az4udYxNym8GKThndD1GjUSLtbURaW4l5PKiRCGo8BoW5+GJ6jPn5GN0FKBPIuEpscgrEghTmauGe5o5AsjaMIEw1IuRCShgutNLQ6mX7gWbKCh2srsjn9d12WvxtxNX4sEIdiPixDpOxosZiBA5X49u3l8DRIwRrayA2OMzR0u+xYjBgKpmNbclS7MuWY11YgWIY+59G/9BKqUtbgJU4uZBKRMiFlBAcphb5H948gQpct24eiqLgMDlQUfFHAjhM9iHn8kcDFJudA46FGurpevUVvDt3EPP2bsbQ6TCXlWOeNQujuwB9thOdyQg6HTa9SndTG5GWZkINDYQb6gnV1tD5l5fQZ2VR9+KLAAAgAElEQVSRdf5anBdehLm0dNTnlsgjD0SDFBZqQi5t34RUIkIupIShPPLGdh87q1uZW5zF2fPzAHD0Fs7yRLxDCnkkFiESj2IzWLW65AcP0PHiHwlUa8Xa9NnZOC+5DMeq1VgXLEQ3TO0ftzsLQ7/dd/FQiMCRanx79+DZvp2uLf9H15b/w7ZsObn/eDXWxUuGzaRJfDgFY0EKciwoQJMUzxJSiAi5kBKCyRh5n7C+sqsBgKvOL0+KZJZJiyt7w16wFw6ax987T0FriPqHNxI4XA2AbclSci57P/azV6Loxr+GrzObsS9fgX35CtzX/wu+fXvp3PIy/v1V+PdXYV28BPdHb8BSPmfQtYnnFIwGMRr05GZbxCMXUooIuZASAtEgZr0pGfcOhKK8WdWIK8vMyoX5yXF9Hvnglm8A3s4W1m/rYenxnQQA+4qzyfvgPw8psKeLYjDgWLUax6rVBI4fp/2F3+Ov2sfJ/76P7H9Yh/sjN6DvV0hOp+iw6C3JjUqFuVYO1HQSDEexmORPTJh65F0mpIRgNDig7OyOQy2EwjGuOr8Mg77Pg85K1CQPDxRyVVXxbHsb329+ydJAkGBBDgs+dQe2ikVTard13jxmf/4ufAf20/rsM/S8+Qa+PXso+JeP4zhvTfKbhN1oTea3F+baOFDTSXNHgPKi9KzOJ5xZSB65kBICsYFNJd7c14gCXLi8eMA4R29oxRPxJo9FPT2c+tFjNP3sSdRYjNfOcdB6+3VTLuL9sS9dRvk9Xyf/w9cTDwZo/OkTND35E2L+3m5FBiu+qPa40CULnkJqEY9cmHJUVSUQDVJgdQOawB2t72bpHBd5zoFZLH0xcs0j9x+upvGnTxDr6sJasYiGa85jT/PLrDCnPkdbMRjIvepqHKvPoelnP8WzfRuBY0covv0ObEYbYW+YaDxKoas3l1yKZwkpQjxyYcqJxCPE1XhyUXDnIS2L+4JlgwtjOZKhFQ8df36R+ke+Raynh/wPX8/sL30Fj0PzPRLdhKYDU2EhpXd/ldx/+gDRjg7qvv0Q8w+2g6rijwYoyu31yKV4lpAixCMXppz3ph7urG5Fr1MGLHImcBjtGKMw/8VK2o62Y3C5KL79DqwLtdrkiV2fif6e04ViMJB/3YewViyi8adPsPCVai6fb8F3nhe3sxCdokhoRUgZ4pELU07/HpttXQFqmzwsLndhtxgHjVV7erh+SxezjrZjWbCQsnvuS4o4aP08YXo98v7Yly6j/L/uI1DoYvmxIN4fP4UuEiI/x0Kz5JILKUKEXJhy+ped3X24FYBzFrkHjQs3NXLyoQfI7whzcIGd2XfdjcE5cAdnn0eeHkIOYMzLp/VTV3N8lgn18DHqvvUQZbY43kAEXzAy3eYJGYAIuTDl9C+YtfNwK4oCqxcOFPLA8eOc3PhNou3tHFlbzsvn2YjoBve99Eb8KChpU4s8gdWWzZ8uchI6bzmhupNctGMzeeEuTrUNnQ8vCJOJCLkw5SQ8cmIGjtV3UzE7h2y7KXneV7WP+u98i7jPR+FNN9PxvmWgKHSHegbN5Yv6x1z5MJXYjDZUnULbVeeT/6GPYPL3cGP9X2jds3+6TRMygPT6axDOSBLb6lvaIqjA6n5hlZ5tb9Pw2KMQjzPrM5/FedHFZJu1TTQ94cGdyH0RX1qFVRIkviH4Y0Fyr/4n9B/+BMZ4BNcLm/AfPDDN1glnOiLkwpST8MhPNWvx4kSBrO6tr9P01E/RmUyUfOFLOFatBsBpytbOv8cjj6txvGFfctNQOpH4cEksxs6+/FJ+V3wpxOM0/OB7+PZXTad5whmOCLkw5SRi5HWNAdw5FgpcNrq2vkbz05vQO7IovfurA3ZpDueReyM+VFSyTem37T2xkckT1nakmk16PCULebF8Pagqpx57FF/V3uk0UTiDESEXppyEkAeDOpbPzaNr62u0PP0L9I4sZn/pbsylZQPG55g1j7wr1D3geE9IE3anOf2EPFnsK9xXWqDEbeeAoRDnbXeConDqhz/Au7dyukwUzmBEyIUpJxFaUaNGVnYfHijiswc3bsi1uADoCHYOON7d66Gno0eu1+mxG22DhBygPa+Mks99AXQ6Tj3+GN7Kd6fLTOEMRYRcmHISHvmqzhrMLz83ooiDJtR6RU9HsGvA8Z40FnKALFPWQCHP18It9W0+bEuWUvIfX0TR62n88eOyACpMKiLkwpTjDfupOBHkyqbtmoh/+SvDijho9b1dZucgj9wTSm8hzzY68EX9xOJaj9CER97Qqi2A2hYtZtad/6Ede+xRAkeOTI+hwhmHCLkw5TgON3Hlth5iJjOz7/oy5pLZo16Ta3HRE/YQifXtjEx65GkYI4d+C569JXiLcm3odQoNbX1eun3pMor/7d9Ro1EafvBdrTm0IEwQEXJhSumu2s8lWxuI6RRMN90xaGFzOHKtWpy8M9QXXkn/0Eoic0XzwA16HUW5Nhpafahq3y5Vx8pVFN16O/FgkPrvPULoVMO02CucOYiQC1NGsKaGgw88hKKq/GlNEXPXnD3maxMLnu2BvvBKR7ALnaIjy5h+eeTQX8j70iZL3HaC4RgdPaEBY7PXrKXwpk8R93qp/87DhFtaUmqrcGYhQi5MCeHGUzQ8+h1iwSB/vSCb1tn56HRDd6EfikKrVuK22d+aPNYWaCfX4kKv00+6vZNB9hAbmUrcmrifbBm8S9W57mLcGz5GrLuLhu89TLSra9AYQRgLIuTCpBNpb6f+u48Q83oIXHUdR8otOC3jqx9eaC8EoMmvearBaBBPxIvbmjfp9k4WuZYcADr6hYPm9vbsrGkcLOQArvdfQe61HyTS2kr99x4h6vUOOU4QRkKEXJhUoj091H/3YaKdHeR/+Hp252jZKe6s8cW1C21uFBSafM0AtAU6AMifCULeL9sm0Xy5pmloIQfI+8B15Fx2OeGGeg7894PEQ6FhxwrCUIiQC5NGzO+n4XuPEGluwvWPV5N71dUcqtM86nzH+ITcpDeSZ82lMSnk7QBp7ZG7zAkh7/PIs2wm8p0Wapp6Bix49kdRFNwbPk7W+WvxHKrm1BM/RI1GU2KzcGYgQi5MCvFQiFOPPUqo7iTOiy4h/8MfpaMnSLtP80RtxvHXDy+2F+CN+OgOeWjtFfJ09siNeiNZJged78l/n1OUhccfGbTg2R9Fp6Po5ltxnbMKf9U+mn7+JGo8PtUmC2cIIuTChFGjURp//DiBI4dxnLuGgk/chKIoVJ/sAr2WB249jUYQ87LnAHC06zgnek4CMNtRPGl2TwW5FhedwS7iap8IzynWFkFrmgbXV++PYjCw6CtfxrJgIZ7tf6flt78a1osXhP6IkAsTQo3Hafr5k/j27cW2/CyKb70dRae9rQ6d7ETRayGCROPl8bDQNR+Aw51HOdp1HJc5hzxr7uQZPwXkmnOIqrEBlRvnjCFOnkBvNlPyuc9jml1K96uv0P6H30+ZrcKZw6hCHo/Huffee7nhhhu48cYbqa2tHTSmo6ODK664gpAs0mQUqqrS8utf4tn+dywLFjLrjjtRDIbk+UMnOzFbNc/0dDzysqwSLHozb576O76In4WueZNm+1RRYNOaZrT0S5tMLng2juyRJ9Db7Mz+wl0Y3QV0/OkFOre8PPmGCmcUowr5li1bCIfDbN68mbvuuouNGzcOOP/GG29wyy230NbWNmVGCulJ+++fo/v1VzGXllLyuc+jM5v7znUHae0K4s4zAmA7DY9cr9NzYcn5yZ9Xus+auNFTTHFv2uQpb3PymN1ipMBlpabJM+ZQicGZw+wvfhm9M4fWZ35Dz9tvTYm9wpnBqEK+a9cu1q1bB8DKlSupqhrY6USn07Fp0yZycnKmxkIhLen480t0vPQnjAWFlHz+LvS2gXni1XXagl9OjvYWOx2PHOCauVew0n0WH1n4Ac52L5uY0SkgIeSNvqYBx+cUZeELRmntDo55LqPbzewvfgmdzUbTL34m5W+FYTGMNsDr9eJw9G2J1uv1RKNRDL1foS+88MJx3dDlsmEwjH1nntudfnU10tEmSJ1dTX99mbbnnsWUl8dZ37wPS0HBoDE1zUcBcDgU8ENJYT5u++nZ97Wiz0zI3uGYitfLmTsPZadCW7htwPzLF7jZfrCFdm+YZQsHv17D2uVeQvbX72H/vd+g8Sc/Ytl9/4Vzeeo/0DL9PT9eUm3XqELucDjw+XzJn+PxeFLET4fOTv+Yx7rdWbS2jr5AlErS0SZInV0927fR9ORP0TuymPX5u/AoVjxD3LfycAt2iyGZtRLojtHqT5/XbSpfrwJrPjWdDTS3dKNTtG8khU4t7LT7QDNLZjvHZ1feLIrvuJOGxx7lwAMPMfvL/4mlrHxKbB+zTWlAptk10ofDqKGV1atXs3XrVgAqKyupqKiYPMuEGYV3byVNP3sSncVCyRfuwlQ8a8hxrV0B2rqDLCpz4Qv70Cm608pamanMyS4jGAvS5OsrhDWnKBuDXsfh+tOrp2JffhbF/6pVTGz43iOEm5pGv0jIGEYV8vXr12MymdiwYQMPPfQQX/3qV9m0aRN/+9vfUmGfkCb4qw/R+MTjKHo9JZ/7ApbyOcOOPVSrxccXl+XgCfuwGawoytgLZs105jk1b/lYd03ymNGgY96sbOpbvPiDkWGuHJmsNedT8PEbiXk81H/3YSIdHZNhrnAGMGqMRKfTcf/99w84Nn/+/EHjXnnllcmzSkgrgjUnOPXYo6jxOCWf/Q+sC0f+VnbwpCbkS8pdbKn2YjeOr2DWTGeecw4Ax7pqWFeyNnm8otTJ4boujjZ0s2J+/mnNnXPJZcS8Xtqf/x0N33uE0ru/in6cdWyEMw/ZECSMSKihgfrvPUI8FKL4tk9jX75ixPGqqnKotpNsm5GiPCveiB+H0ZYia9ODInsBWUYH1Z1HBuzwrCjVMrsOnZxYudrca64lZ/2VhBtPUf/97xIPBiY0nzDzESEXhiXc3Ez99x4m7vNR+MmbyTp3zajXNHX46fKGWVzuIhgLoapqxnnkOkXHkrwKesIeGrx9seyFs3Mw6BUOnJhYSERRFNwfvYHs911IqOYEpx5/jHjk9MI1wpmBCLkwJOGWFuof2Uisqwv3Df+C8x8uGtN1CW9zcbkLX0TLdrJnmEcOsCx3EQAH2g8lj5mNehbOzuFki5duX3hC8ys6HYWfvAX7ylX4Dx6g6ckfo8ZiE5pTmLmIkAuDCLdqIh7t7CT/ozfgWn/lmK892LvQuaTMhTeipZpmopAvzq1AQWF/e/WA40vnaC3sDtZMfKFS0esp/vQdWBctxrt7F01P/UTEPEMRIRcGEGlrpf7hbxHt6CD/wx8l98qrxnxtXFWpPtmJK8tMgcua0R65w2SnPLuUEz21BKJ9Mezlc7UyvHuPt0/KfXRGU3IB2rNju4h5hiJCLiSJtLdR9/BGoh3t5P3zh8m96ppxXX+q1YfHH2FxmQtFUfD1euSODIuRJ1iat4i4GudQx9HksbJCB64sM3uPthONTU69cZ3FSsl/fKFPzH/2UxHzDEOEXAC0mHjdwxuJtreTd92HyLvm2nHPkQyrlGvhA18Gh1YAlibj5H3hFUVRWLkwH38oypH67km7V0LME7XMm372pIh5BiFCLhBqaKDuWw8SbWvTRPyfPnBa8xzqzR9fXK6l2XnCWiNhh9Ex7DVnMuXZs7EbbRzoqB5Q9XDVQi2HfHd163CXnhY6i5XZn/9ir5hv08Is0jIuIxAhz3CCNTXUPfwQsW4tO+V0RTwai3PoZBfuHAv5Tq3SYaK5QrYpMzes6BQdi10L6Qp1D6hPvrjMhcNqZMehZmJjaOcWioWp6TlJLD66h50Q80SY5dSPHiMenliGjJD+iJBnMP7D1dQ/sjGZJz6e7JT3cqyhm0Aoylnz+npqJjzyLFNmeuQA83PmAnCsu68hi0GvY82SAnr8EQ7UdA53KQDdIQ/feOfbPLzzh/z60P+OqZ65zmKl5PN3YVu2HN/ePTQ8+h1i/rEXqxNmHiLkGYqvai8Nj36HeCRC8W3/hnPdxROab+8xLQtjxfw+Ie8JezAbzFgM5uEuO+NJbNc/3q/uCsAFy4oAeGtf44jX/+n4X+gOa52F/t60i0MdR8Z0X53ZTMlnP4/j3PMIHK6m/pFvEfWMrUORMPMQIc9Aure+TsMPHoV4nFn//lmy1pw/+kWjsPd4O0aDjkVlruQxT9hDjjkzwyoJShxFmPUmjncPbJE4b1Y2Jfl2dlW30u0dukViIBpke9NuCmz53HXOvwPwVuP2Md9bMRgovv0OstddROhkLXXfepBI++SkPQrphQh5BqHG47T97n9pfnoTOpuN2V/6Co4VKyc8b3t3kIZWH4vLXJiNWtOQuBrHE/GRY8me8PwzGZ2iY252Oc3+FryRvrr+iqJw2eoSYnGV1ytPDXntvrYDRNUYawpXMze7jGJ7Ifta9xOIjr3LkKLTUXjTzbiuvIpIUxMnH/xvgjU1E31aQpohQp4hxCMRmp76abI9W9lX/wvrgoWTMndic0v/sIov4ieuxnFmuJBDX1nbE+/xyi9YXoTVbGDLrnqC4cHZJXtb9wOwquAsLW3RvZyoGuNw57Fx3T9Rm8V9/QZiPd3UfftBPLt3neazEdIREfIMIOb10vDdh/Fs34Zl/gLKvnoPpsLCSZt/X298/Kz3xMeBjPfIAeblzAG0srb9sZgMXHFeKd5AhFd2Nww4p6oqR7qOk2N2UmjTWsMtztXKBx/qOHxadriu+Edm/fvnQFFofOKHdPz5pTE3gxbSGxHyM5xgTQ21//11AkcO4zj3PGZ/6e5JrV8djsQ4UNtBcZ6Ngpy+BssJIXdaMjtGDlrHIAWFEz21g86tP3c2VrOBl96ppcfflybY4m/FG/Ex3zkn2ZRjbnYZFr2ZQ51jW/AcCsfKVZR+5WsYcnJoe+5Zmv/n55JrfgYgQn4G0/3mVuo2PkC0o4Pcaz9I8e13oDOaJvUee4+1E47EWblwYKOEzqC2azHfljup95uJWA0Wiu2FnOypH5QLbrMYuW7dXPyhKP/v1b6t/InuQon0RQC9Ts885xxa/G3JD8rTwVJWTunX7sVcVk7Pm29Q9/BGIh2yCDqTESE/A4lHwjQ/vYnmX/wcxWRi1mc/T/4H/xlFN/m/7u0HmwE4f8nAUE1nUMuPzreLkAPMyS4lHI9wytc86Nxlq0soK3Dw1r4m3ulNRzzadQKABf2EHPrlpb8nTDNejC4XpV/5Gllr1hI8dpTa+7+Ob9/eCc0pTB8i5GcY4ZYW6r71EN1bX8dcWkbZf92HY8XZU3KvQCjKnmPtFOfZKC0YuOmnI6TVJc+zuYa6NOOY4ywDoKbn5KBzep2O265ditGg4/ub36Wx3cexrhNYDVaK7QM/IOcn2sh1n5iwTTqzmaLbPk3Bx29CDQZp+P53afv9c1KjZQYiQn6GoKoqXVtfo/Yb/0Wo5gTZ77uQ0q/eg8ldMGX33HO0jUg0zpolhYOaK3cGNSHPt4qQgxYnB6jpHizkACVuBzdduQhfIMIjz22jLdjBfGc5OmXgn+ic7FIMip5jXRMXctAyWnIuvYzS/7wHY76bjhf/2NvYWUItMwkR8jOAaHcXB7/5EC1P/wJFp6Potk9TePOt6EyTGw9/L9sPtgCwZsngD4vOUBcOox2TYWptmCkU2wsx601DeuQJLjyrmBuvWkIPWnu4XP2sQWOMeiNl2bOp85wiOI588tGwzJlD2b33YV+1mkD1IWq/fg/db7wuWS0zBBHyGY5n1w5qvn4PnTt2YVuylPJvPED2+RcM8pAnG18wwr7j7ZQVOCjOG1hvXFVVOoNd5FpyptSGmYRO0VGeVUqTvwV/ZPhmyde/v4IlyzTxfO3NAG/sOTVITOc756KicmKED4XTQW+zM+szn6XwpptBVWn+n000fP+7hNrEO093RMhnKOHWFhp+8D0an3gcNRRi7q23UPKFL2HMzRv94kng7aomYnGV85cNzkfvCXuIxKPkWiSs0p9EnLzWUzfiuKCxFT0GdEEnm/58iB/9vmpAauKC5ILn5IRX+qMoCs6LLqb8G9/Etmw5/qp9vPu5z2ve+RgqNQrTgwj5DCMeCdP+xz9Qe+//h2/vHqyLFlP2X99g1rXXTElWylCoqspr7zZg0CtceFbxoPPNvSVbC2zulNgzUxgtTg7gC/s55W1ibk4p37j5AipKc9h1uJV7nvw7Ow5poax5znIUlAlnroyEMS+Pks/fpXnncc07r3voAQLHx7erVEgNhuk2QBgbqqri21NJ6+bfEmltQe/MwX39BrLWnD/lYZT3cqi2k8Z2P+cvLSTbNjgG3uzXBKfINnULrTORpJCPEBKpbjuOisoC51zynVbu/pdVbNlZx++2HueJ56vYvsjNJ65YRLG9kBM9J4nGoxh0U/NnnPDOSy9aS/VPf45n+9+pe/C/ybrgfeR/6KMYXfKNK10QIZ8B+A8eoO33zxE8fgx0OnLWX0neB65Db7WOfvEU8OftmhC9/5zZQ55v9mkeeaFdPPL+OM1Z5FpcnOg5iaqqQ34AH2rTNgUl8sV1OoUr1pRx9oJ8fv7SQXZVt1J9sov5awo5FW+iztPA3N5aLlOF2Z1P8e134LzkMlqf+Q2ed97Gu3sXuVdeRc7716O3ZWZP1nRChDyNCRw9QtvzvyNw6CAAjlXnkHfdhzCXlEybTSebPVQd76CiNIf5Jc4hxyRCK4USWhnEPGc5O5srafQ1M8tRNOj8wdajKCiDxLkw18ZXPr6av+2q57nXj1G1T8W0AA61H59yIU9gq1hE2T1fp+etN2j73XO0v/A8nf/3V3IuX4/r/Vegd2RuA5HpRoQ8zVDjcXx799C55eWkgNuWryD/ug9hmTNneo0Dfrf1OAD/dMHw4nHK14TTlIXVMD3fGNKZxa6F7GyupLrz6CAhD0QDHGk/QXl2KVaDZdC1OkVh/bmlnD0/jx//WU8ze/lL1bsss59LWWFqatooOh3OdReTdd4aul59lc6X/0zHn16g8/9eJufSy3CtvwKDU7KVUo0IeZoQCwToeXMrXa9sIdKqebS2JcvI+8B1WBdOTrnZiVJ9spO9x9pZXJbDsrlDb73vCnXTFepmRf6yFFs3M1icq/0uD3Uc5tLSfxhw7lDHUeJqnKV5i0aco8Bl42s3XMjdr79K0NLOA0/v5GPvr+DilbNStl6is1jJvepqci67nO7XX6Pjry/R+ZeX6Py/v+JYdQ45l1yKddHilK/fZCoi5NOIGo8TOFxNz7Z38OzYjhoKohiNZK+7CNfl6zHPLp1uE5NEY3Ge/ms1CvCRSxYM+weayMiYk50+tqcTLksOxfZCDnUeJRgNYunneVe1ad/AluaOLOSg9f1cXbyEdxp3YHL28PRfq6mu6+KmKxdhNafuz1pnNuO64kqcl1xKz1tv0vXaK3h3bse7czum4lk4L76U7PPXTmrFTWEwIuQpRlVVwg31mnj/fRvRzg4ADK5cnFdfQ85Fl6Tlm/6Ft2pobPdz6aoS5s0avsZ4YpNKIkNDGMwq91m8VLOFqraDnFu0CoBILEJlaxV5Nhfl2UMvIr+Xs93LeKdxBxdeqHB8dzZ/P9DMicYe7vjgcsqLUvse0plM5Fx6Gc5LLiVw5DDdr72KZ9cOWp/5Na3P/hbbkqVknXsejlXnSCx9ChAhTwHxSJhA9SF8e/fg27uXSJsWOtFZrWT/wzqy174Pa8WilOWBj5eqE+28+HYN+U4LH754/ohjD3YcxqDoKRePfFhWF57NSzVbeLtxR1LI97TtJxgLcmXZRYPqqwzHItdCTHoTB7v3c8+/XM0f3qzhz9tO8s1f7uSjlyzg8nNno0txaENRFGwVi7BVLMLd8zF63nkL784d+PdX4d9fRfOvnsa2ZCn25SuwL1+OsbBIwi+TgAj5FKBGowRrThA4coTAkWr8hw6ihrWdeTqrFcc555J13hrsK1ZOeT2UiVLb5OFHv69Cr1f49AeXYbMM/5ZpC3TQ4G1kWd5iLAZzCq2cWRTbC6lwLaC68yi1PXWUZpXw15pXUFC4bN6FMMYSKia9kdUFK9jWuJNjPcf56CUVLC5z8dSfDvDbvx1hV3ULn7p6CUW5tql9QsNgyM4m98qryL3yKiKtrXh27sCz4+/4q/bhr9pHK2DIzcO2bBm2JUuxzl+AITdPhP00ECGfIGo8TripiVDdSUJ1JwkeP0bwxHHUSCQ5xlRUjH3F2dhXnI11wUIUw8x42atPdvKD5/YRDMf4tw8uY/6sodMNE+xoeheAFflLU2HejOYfyy/jcOdRfr7/N5Q6ZnHK18T5RedQnFVAa3DsTSP+Ydb5bGvcyd9ObmVJbgVnzcvjG7es4VcvH2b34Vbu/dl23n/ubK65oBy7xTiFz2hkjG43uVddTe5VVxNpb8d/oArf/v34D+yn542t9LyxFQC904ll3nys8+ZjLp+DuaQEfbZTxH0UZoaipAHxYIBwczOth3poP1pDpLmZUOMpwg31A0QbRcE8uxTrwoVYFy7CsmDhjNsBF4rEePGdWl58pwadonDbtUtZs2TkHp+hWJjX6t/EarByTuHK1Bg6g1mUu4D3l13MlpOv0xZop9Dm5sMLrx33PHOd5SxyLeBgx2H2t1ezLG8ROQ4zd37oLHYeauGZV47wl7+fZGvlKS5eNYvLVs0mzzk4tTGVGPPycK67GOe6i1HjcYI1NQSOVBM8fozAsaP43t2N793dyfE6hwPzrBJMJbMxFRZhdLsxut3EsueOcJfMQlFHqVMZj8e57777qK6uxmQy8cADD1Be3pdD/Oyzz/LMM89gMBi44447uPTSS0e8YWvr2L0NtztrXOPHSzwSJub1Efd6iHm9vf88xDweol2dRDo6iXZ2EO3sIO73D55Ar8dcMhtzaRnm0tLe/8vQ21L/VXair5Wqqr3MgpwAAAj/SURBVJxq9/P2vkbe2NuINxDBlWXm0x9YRkXpyHnBsXiMpw9uZmdzJVfPeT/XzLti0uyaKtLBLlVVOdx5TEvXdC/FarCell11nlM8vPMxrAYLn1t1OyWOvvo3kWiMv+1q4KVttXgDERQFFpXmsGqhmyVzXMzKs6PTjeztpvq1inR0EDx+jFD9SUINDYQbGoi0tsAQUqV35mDIycHgdKJ3OjE4nRicOeiztcd6hwOd1YrOZpv0NofDMVWvl9s9/AL2qEL+8ssv88orr7Bx40YqKyv5yU9+whNPPAFAa2srt9xyC8899xyhUIiPfexjPPfcc5hGiPuerpDHg0H8B/cTD0cgFkONRlFjsd5/Ue1Y72M1HCEeChIPhVBD4eRj7ecQ8XCIeDCIGgqNaoPOasXgysXgcmEsKCR3fhkhWw6mwkKMeflpEyYZ75snrqq8secUJ1u8tHcHOdHYg8evfbNwWI1csmoWV68tx2Ia+fnV9Jzk6QPP0uxvoTyrlC+ccwfGfrU/0kEwh+JMs+uNhm08U/079IqepXmLuG7+1RTZ+2rdRKIxth9s4bXKBo419CSPW0x6SvLtuHOsOB0mLCYDFpMeo0GHK8vMqoXutHit4qEQ4aZGIi0tRFpbtISBrg78jU1Eu7oGfiseBsVgQGe1aaJutaKzWNAZjSgmE4rBiGIyojOatJ+NRu2c0Qh6PYqiA71OS0hQev/XDf2/02mlqyvh+Kmg9t3fWlFx2h8oIwn5qCq0a9cu1q1bB8DKlSupqqpKntu7dy+rVq3CZDJhMpkoKyvj0KFDrFix4rQMHYnOLS/T/vzvTn8CnQ6d2YxiMqOzWLRPbbsDfZYDvcOB3pGV/F/ncGDIcWFwuQbVM0mHN/Vk0OML8z9/qU7+7Moyc/7SQlbMy+PcxW6MBv2Y5qnzNNAe7OD8onP4aMUHBoi4kDrWlawl25TFH479mX1tB1iRv2yAkBsNei48q5gLzyqm0xNi77E2jjZ0c/xUDzVNHo6d6hk0pwI89vmLUvgshkdnNmMpn4OlfE7yWOJvUVVV4sEgse4uot3dRLu7iHV3E+3uJu73E/P7iQe0f9rjANH2NtRodEpsbRjhnPtfPo7r8vWTfs9R/+q8Xi+Ofnmfer2eaDSKwWDA6/WS1S/n2W634/V6R5xvpE+Vkca7b/443PzxcV07VYz3OaSK8djldmfxx+98cML3/JD7Cj608ooRx5wJr1cqOV273u9ey/uXrh3T/BXz8lNi01TTZ1c2kLnVNkdNWHU4HPh8vuTP8XgcQ2844b3nfD7fAGEXBEEQpp5RhXz16tVs3aqlBlVWVlJRUZE8t2LFCnbt2kUoFMLj8XDs2LEB5wVBEISpZ8xZK4cPH0ZVVR588EG2bt1KWVkZl19+Oc8++yybN29GVVU+/elPc+WVV6bKdkEQBIExCLkgCIKQ3qRncQ9BEARhzIiQC4IgzHDSVsg9Hg+33norH//4x/nUpz5Fa2+zhekmFovxwAMPsGHDhv+/vfsLZbaP4zj+qbs7d5S/OcARdy1FTnbiT1IiXHFg1DQjHAgrxpoiRmgMB85shPynlaJkhUZxIAcOUXaXYjEk+Xvvj99zsFy39cjjeeq5ftfq9zpyrXS9G77Mrt/vgkwmg9VqpZ3kw2azQSqV4vcXFjsJ4f7+HjU1NVAqlZDL5Tg4OKDW8vr6Cp1OB7lcjrKyMpyenlJrec/lckGr1UKhUKC4uBibm5u0k3zc3NwgIyMDNpuNdgrPZDJBLpdDJpPBbDbTzoHL5YJGo0FJSQkUCoXgz5VoB/nS0hIkEglmZ2fBcRzGxsZoJwEAlpeX4Xa7sbCwgOHhYdEMA8B7zb/BYPh0Za3QJiYmkJycjJmZGfT29qKrq4tay8bGBpxOJxYXF6HRaNDX10et5b2VlRWEhoZibm4Oo6Oj6O7upp3Ec7lc0Ol0+PGD7v4s7+3t7eHg4ADz8/OYnp7GxcUF7SRsb2/zc0GlUmFoaEjQ84t2GZ5EIsGvX977Qz48PPDXrtO2s7MDiUSC6upqEELQ3t5OOwkA+JampibU1dXRzuFVVFTwv1g8Hg8CAuhtb/vZKmWacnNzfa72+vbta6tqhWAwGFBSUoKRkRHaKby3n0GVSoWHhwc0NzfTTkJsbCw8Hg9eX1+pzCtRTEez2YzJyUmfx3Q6HXZ3d8FxHO7u7jA7OyuKrrCwMAQEBMBkMmF/fx8tLS2Ct33UFR0dDY7jEB8fL2jLex916fV6JCUl4erqClqtFq2trZTqPl+lTFNQUBAAb199fT3UajXVnjdLS0sIDw9Henq6qAb57e0t7HY7jEYjzs7OUFtbC4vFQnWr28DAQJyfnyMvLw+3t7cwGo3CBhCRUqlUZH5+nhBCyOHhIcnPz6dc5KVWq4nFYuGPU1NTKdb8kZWVRZRKJVEqlSQxMZEoFAraSbyjoyPCcRzZ2tqi2qHX68nq6ip/nJ6eTrHGl91uJ4WFhcRsNtNO4SkUClJaWkqUSiWRSqWkqKiIOBwO2llkYGCAjI2N8ccFBQXk+vqaYpH3e2twcJAQ4v1aZmdnk5eXF8HOL4q/yD8SHBzML/ePiIjw2QqAJqlUiu3tbeTk5ODo6AhRUVH//EkCWF9f5z/OzMzE+Pg4xZo/Tk5O0NDQgKGhIaqvFgDvKmWr1QqO4/62Spmm6+trVFVVQafTISUlhXYO7/0rzbKyMnR2diIyMpJikZdUKsXU1BQqKyvhcDjw/PyM0NDPt1r+vwUHB+P7d++NO0JCQuB2u+HxeAQ7v2gXBF1eXqKtrQ1PT09wu92or69HWloa7Sw4nU50dHTAZrOBEILOzk4kJCTQzvKRmZmJtbU1qv+PflNbW4vj42PExMQA8O7P87YNstA+WqX88+fn9yAVQk9PD9bW1hAXF8c/Njo6Kqo3GN8GuRieLwDo7+/H3t4eCCFobGzk3/ug5fHxEa2trbi6uoLL5UJ5eTkKCv79jUL+K9EOcoZhGOZrRHv5IcMwDPM1bJAzDMP4OTbIGYZh/Bwb5AzDMH6ODXKGYRg/xwY5wzCMn2ODnGEYxs+xQc4wDOPn/gJydXd7ekQ2cQAAAABJRU5ErkJggg==\n", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "sns.kdeplot(x)\n", - "sns.kdeplot(x, bw=.2, label=\"bw: 0.2\")\n", - "sns.kdeplot(x, bw=2, label=\"bw: 2\")\n", - "plt.legend()" + "fmri = sns.load_dataset(\"fmri\")\n", + "sns.relplot(x=\"timepoint\", y=\"signal\", kind=\"line\", data=fmri);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "As you can see above, the nature of the Gaussian KDE process means that estimation extends past the largest and smallest values in the dataset. It's possible to control how far past the extreme values the curve is drawn with the ``cut`` parameter; however, this only influences how the curve is drawn and not how it is fit:" + "The confidence intervals are computed using bootstrapping, which can be time-intensive for larger datasets. It’s therefore possible to disable them:" ] }, { @@ -386,37 +396,26 @@ "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.kdeplot(x, shade=True, cut=0)\n", - "sns.rugplot(x)" + "sns.relplot(x=\"timepoint\", y=\"signal\", ci=None, kind=\"line\", data=fmri);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Fitting parametric distributions\n", - "\n", - "You can also use `distplot` to fit a parametric distribution to a dataset and visually evaluate how closely it corresponds to the observed data:" + "Another good option, especially with larger data, is to represent the spread of the distribution at each timepoint by plotting the standard deviation instead of a confidence interval:" ] }, { @@ -426,178 +425,118 @@ "outputs": [ { "data": { + "image/png": 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Pt586w+0HRnnH7VMMZBOBXv96GUZtQkY6KW9vEW7yDu1zxUqwM+As2+Wx5y8wkE3wwoklXjixxF1qjAdunSKbjgX2PNcjGjUolG2G88luhyLEVUkC7nNBd8Ad0QuUqg6/8FO3guvw189f4Kmj8zx7bJF7Do9z/62TXV+LIR6NUCjb+L7f92OfRW+TBNzHGh1wQbVMLdvliZcucuN0nn1TeVZWi/zt+/fxo7dO8lfPneeJly7ytF7grT8ywVtvniARjwTyvK26PCHD8UjEuhODEM2QBNzHgu6AO6IXKFUc3nHH9BuOj+ST/L137OeBW6f4y2fP8VfPnef7r85z/62T3HN4jFi080nQr0/IkAQswkwScB8LsgOu0frdP51nz/j2CxqND6X4yLsOcH6xyKPPnuORI2f53suXeOC2Ke48NEq0g5NBohEolW3y6XjHnlOIVskwtD5WrNhEA6r/Pl1v/b5zS+t3O9OjGR56zyE+8bcUw/kE33ryNJ/7by/x7LHFphdCul6xaES2qhehJwm4jxXKDrEAWp22c+3W73b2TuT4xE8oHnrvQTKpKF9//CRf+O8vd2TroFjUpGrLhAwRbpKA+1SQM+CO6AWKFYd33D517ZO3MAyDG6cH+PkP3MRHfvxGltYrHNEL1x1TM3wfqlY4J4wIAZKA+1ZQHXC24/LEixe5YSrH3MTOF642DIPDe4fYP53nheNL+B1Ync00oCwJWISYJOA+FVQH3NP11m8ztd9mvOXgKGtFi9cvtH9R7ljUZKMoOyWL8JIE3KeC6ICzHZfHA2j9bqb2DJKMR3ju+GIg17uaWNSkWLE70toWYickAfepIDrgntaLtdpvQK1fgGjU5Jb9wxw9tUKl2t4NTUzTwPV9LFs64kQ4SQLuQ55XW63sejrgbMfjiZcusm8qx96AWr8NdxwYxXF9Xnp9OdDrbkt2yBAhJgm4DzUSzvV0wD2tFyiUbd55e3Ct34apkTTjgymeO74U+LW3ikZkgXYRXpKA+9D1dsBdbv1O5tg7GfyW3YZhcPvBEc4vFllYLQd+/c3iMUnAIrwkAfeh6+2Ae+a1Wus3yNrvVrftH8E0DJ471t7OuGjEpGo52I7UgUX4SALuQ9fTAWc7Ho+/eJG9kzn2taH125BJxTi4Z4AXTix1YLZabYF2IcJGEnCfcT2Pqu3uuAXcaP2+cwez3lp1x4FRihWH42fX2/o8kQgUZF0IEUKSgPvM9Qy5chqt34ks+6byAUa1vQOzeTLJaNvHBMdjEdY6sP6EEK2SBNxnrqcD7plj7a/9bhYxTW69cYRjZ9YotrGjLBoxsWwX25HhaCJcJAH3mZ12wDVav3MT2bbWfre648Aonu/z4g/aPSTNkHUhROhIAu4zO+2Ae+bYIhslm3feMd3RfdTGh1JMj2Z4rs0L9EQjBgUpQ4iQkQTcR3baAVdr/V7oeOu34Y4DI8yvlLmwVGrbcyRiJmuyMI8IGUnAfcSyvR21Ip+tt37fcXtnW78Nt9wwTDRitLUzLhIxsV2/ViMXIiS6siecUupjwKeBGPBZrfXnrnDeHwLf0Vp/sX57DvgSMA5o4CGtdaEjQfcAy3ZbTqCO6/HdFy+wZzzLDVOdb/0CJBNRDs8N8dIPlnnv3XsC20bpTXyfiuUSl406RUh0vAWslJoBfht4ALgD+EWl1M1bzplWSn0d+NCWh38e+LzW+jBwBPitDoTcM4oVm2iLC/A826Xa71a3HxyhYrnoM6tte45Y1GRdyhAiRLpRgng3tVbtsta6CHyVNyfah4A/Ab7SOKCUigHvqJ8P8EXgw22Ptoe02gHnuB6Pv9Dd1m/DDZN5BjLxtk5NjsdM1kuWrA8sQqMbJYhp4MKm2xeAezefoLX+dwBKqQc2HR4F1rXWzqbHzbb65CMjzW8qCTA21t3EtNWV4nFdj9RSiXwm0fS1Hn/hPOslm4+97zDDQ629LgBDg5mWH3M1990yybefPA2RCEO5ZFviWStWyQ+kSSba+9bvlfdNN4QpFuhuPN1IwCawuQliAM1M39r6OJp83BssLRWa3hp9bCzHwkL7t85p1tXiKVcdVlZLuHbzax78zQvnmRxOM5aPs7JabCmWocFMy4+5FjU7wF88CY89c4a3t7gMZrPxbBQtzp6PMJBt/g9Vq3rpfdNpYYoFgo+n1WTejRLEWWDzQgOTwPkmHjcPDCilGj0oU00+bldotQNuo2RxbrHITXsHu1r73Wwol2DvRJbn2zgmOBatlSGECINuJOBHgAeVUmNKqTTwQeBb13qQ1toGHgM+Wj/0ceCbbYuyx7TaAffamTUA1NxQu0LakTsOjrK8UeX0fHsGt8RjETZKsk+cCIerliCUUn/vavdrrf9bq0+otT6nlPoU8CgQB35fa/19pdQ3gM9orY9c5eG/DPyBUurTwGngZ1p9/n7VagecPrPKUC7B2GDrtdZ2umnvEN/83mmeP7YY+FZIUN8nrr5lUzLelVGYQlx2rXfgr17lPh9oOQEDaK0fBh7ecuz925z3D7bcPgX82E6es581ZsDl0rGmzq/aLq+fX+fuw+OhKT80xGMRfuSGYV56fZmfuG+uPWN2/VrNXBKw6LarvgO11j/eqUDEzpWrrc3uOnFuDdfzUXODbYro+tx+YIRnjy3yyskV7jg4Gvj1YzGDjZK9o5EWQgSpqSaAUuog8CtAltqohQhwQGt9fxtjE00qlC3MFqr5+vQqqUSEufHWh551wp7xLCP5BM8dX2xLAo5HI6yXLDzfxwzZNwCxuzT7sX2YWr32R4GTwM3Ai22KSbRodaNKosmv6q7ncezsGgdnBzHNcCYfwzC4/cAopy8VWF6vBH590zTwfKjK8pSiy5pNwDmt9T8C/pzayIP3AG9rW1SiaVXbxXZ9ok12wJ2+VKBiuaEtPzTcduMIhkHbtq436nVgIbqp2QTc+BQcB27RWq/y5kkRogvKFbulHTBeO71KxDS4cbr9Ww5dj3wmzv7pPC8cX2x64kwr4jFZF0J0X7MJ+LhS6rPA48CvKqV+ldpKZqLL1ooWsVhzv0bf99FnVtk/ne+JFcHecnCU9ZLNDy4Ev2lnPGayUbbxZDyw6KJmE/A/Ah7TWj8L/N/Au4BfbFtUoime57Nespuu/86vlFktWKEvPzQc2jNIKhHh+TYs0GMYBr7vSx1YdFVTCVhrXQK+rpQaAv5f4OeBV9sZmLi2iuXg+zQ9lrex1OOh2d5IwNGIyS03jHD09Gpb6rWmYVCSOrDooqYSsFLql4A1YBFY2PR/0UWFst3y8LPZsQzZJidshMEdB0dwPZ+XXl8O/NoxqQOLLmt2KtD/DtyvtX6mncGI1qwWLJJNlh/WixYXlko8eNdMm6MK1uRwmomhFM8fW+Sew+OBXjseNSmUbTzPD+2QPNHfmm0/XZTkGy6241KxnKa372mUH9Se3ig/NBiGwR0HRzm/VOLSSrCbdhqGcXmbIiG6odkW8F8opf4R8KdAuXFQax3890LRlFKL04/16VVG8glGB1Ntiqh9bt0/zLefOsuLJ5aZuDsd6LVNw6RUtUknZV0I0XnNtoB/E/gccIZa/VdqwF22XqwSb7L1W7EcTl7c4FCPjH7YKp2MsXcyiz69EvgykrGYwVpB6sCiO5r6s6+17r1mUx/zfJ+1okW6yW11Tpxbx/P8nis/bHZ4bohvPnmaxbUKYwG24mNRk0LZwfU8Iq30aAoRgGYX4/nMlkM+UAJe0lr/eeBRiauqWm5LHUdHT6+STkaZHQvn4jvNUHODfPPJ0xw9tRJoAq7VgaFiuWSSkoBFZzX7jrsV+J+BEWAQ+IfATwL/UiklW8N3WLFsEzGa+9W5rsfxs2sc2hPexXeakc/EmR7NcPR08NvWG2ZtRxEhOq3ZBDwB3KW1/l+01r8O3E2tFfx24CPtCk5sb61YJR5vLpmevLRB1XZ7uvzQcHhukAtLJdYK1UCvm4iZbMh4YNEFzSbgEa31xcYNrfVS/ZgFSNOhg2zHo1hxiEWbG//72ulVohGT/dPh2gp8Jw7vre1f1xhSF5RoxKRUdXHcljfZFuK6NDv25gdKqX8D/F/UFmT/eeCEUuo+QAZRdlDZcjBorvVbW3xnjRun800n7DAbHUgyOpDk6KlV7r1pIrDrNqZyVyyXbErqwKJzmn23/RywD3gW+D4wA3wSuBP439oSmdhWoWQRjTaXgC8ul1gv9s7iO804vHeQU5c2KFWCXcPBNKAkdWDRYc0OQ1tk+x2IvxBsOOJqfN+vTT+ON9ea1adXMQw4uGegzZF1zuG5Ib77wkVeO7Ma6HZF8ViEtaLF+FCwEz2EuJprbUv/Fa31R5RSL7LNAuxa69vaFpl4k3LVwXWbH35WW3wnSybZO4vvXMvUSJp8Js7R08Em4Fi0tjCP43pN7y4ixPW6Vgv4/6j//58A+6ntiJGjVnp4vo1xiW0UyzbN7iG5ulHl0kqZ99w9296gOswwDA7PDfLMawtYthv4wvJSBxaddNV3mtb66fqPPwPcS2368e8BNwAfb29oYquV9SrxJne/uLz4Th/VfxvU3CCO63PiXLA7ZUQiBoWyDEcTndPsn/o7qe2K8VPAH2qtfw6Ya1tU4k0c12OjZBFrYfWzscEkw/lkmyPrvL0TOVKJKEdPrwR63UQ0wnpROuJE5zSbgE2ttUdtN+Tv1I9l2hOS2E7FcsFobveLctXh1MUNDvXB5IvtmKbBoT0DvHZmDTfAsbvRqEnVcrAdGQ8sOqOVTTm/Qa0O/JdKqf+K1IA7aqNoNb1YzPGza/h+f5YfGg7PDVG1XU5e3Aj4ygYVS7YpEp3R7ESMnwN+Gviu1tpWSj0G/OFOn1Qp9THg09R2Vv6s1vpzW+6/A/h9IA/8NfBLWmtHKfUJ4HeAS/VT/0xr/amdxtErfN9ntVhlfDSH3cQsXH1mlWwqxsxo/35J2T+dJxY1OXp6lRtnghtmF4lAoWSTS8cDu6YQV9LsOOAi8KVNt//PnT6hUmoG+G3gLqAKPKGUelRr/cqm074EfFJr/T2l1H8GfoHamOO7gV/XWn95p8/fiyzba3p4lFNffOeW/cNNb9bZi2JRkwMzA+jTq7z/rcF1R8RjEdZKFlNSYRMd0I3xNu8GvqO1Xq4n9q8CH2rcqZTaC6S01t+rH/oi8OH6z/cAn1BKvaiU+lJ9l+a+V6ra4DeXTF+/sIHleH1dfmg4PDdIoWxzdqEY2DWjERPLdrEdmWEv2q8b+7BMAxc23b5AbYjb1e6f3fTzvweeAP418J+Ah1p58pGR1tbEHRvr/iI2qxWH8dFa3EODV2+ZnXz6HPGYyVsOTzU9YmKnrhVLu93zIwn+5PGTnLxU4LZDE4HFY0QjZHIpBrKJHV8jDO+bzcIUT5hige7G040EbPLGWXUG4DVzv9b6pxsHlVL/FjjR6pMvLRXwvOa2tRkby7GwEHQnT2tcz+Ps+TUyqSjJRJaV1Su39nzf58Xji9w4PUChUL7ieUEYGsxcNZZO2TeZ4/nXFvjbD+xndS2YTTvLVYeTZ5aZHt3ZAvZheN9sFqZ4whQLBB9Pq8m8GyWIs8DUptuTwPlr3a+UGlBK/dqm4wbQ993VFcvF85sbfnZ+sUihbO+K8kPD4blBljeqXFwKbsfkeMxkTdYHFh3QjQT8CPCgUmpMKZUGPgh8q3Gn1voUUFFK3V8/9LPAN4EC8Bv1JTABfgX4WufC7o6NkkWzSxPoM/XFd2b7Z/Gda2n8sXnxxGJg14yYJo7rY9lSBxbt1fEErLU+B3wKeBR4DnhYa/19pdQ3lFJ31097CPhdpdRRIAv8B621S233jS8opV6lNoriNzodf6etFWwSLax+NlefJbZb5NJxZscyvHA8uAQMtXJO2ZIELNqrK59UrfXDwMNbjr1/08/P88aOucbxx6hNi94VLNul6rjk49dezWx5vcLCaoX33jPWgcjC5fDeIR45cpbVjSqDuZ13nG0Wi9a2KRrIyHhg0T6y7FOIlS0X/OY6DPt58Z1rOVz/Nwe5YWciFmG9ZOE3+foLsROSgENsrdDC6menV5kYSjEUUAuwlwznk0yNZAJdnMc0DRzXo1Tt+35e0UWSgEPK833WihaJJta7LVVszswXOLQLW79fny52AAAgAElEQVQNtx4Y4cx8IdDt5eMxk0vLwY2uEGIrScAhVanWyg/NDD871lh8p09XP2vGrTeO4vu1XaCDkoxH2Sjbge8/J0SDJOCQKlQszCZXP9OnV8mnY0yN7N79zGbGsgzUtyoKUjxqsrDa3kktYveSBBxSawWrqfpvoWzz2tk1bto31NeL71yLYRgc3jvID86vUw1w/G4yHmG1WKUstWDRBpKAQ8h2PCpVp6m1HJ49tojn+dylxjsQWbgdnhvC9XyOn10L7JqGYRCLGCyuSStYBE8ScAiVqw4+127Nep7P03qBG6ZyjA7039ZDrdozniWdjAZehkgloqxsVKnKxAwRMEnAIbRetIhFm+l8W2W9aHHPYWn9Qm3omNozyLGzqzgBblVkGAZR02RpvRLYNYUAScCh4/k+68VqU8PPnjq6QD4d69u933ZCzQ1i2R6vXwh2xa1UMsLSelnWhxCBkgQcMlXLxfFrrbmrWVqr8IPz69ypxq557m6yfypPPGqiA94x2TAMTEyWpRUsAiQJOGSKFbupX8oRPY9pGtx5cPet/XA10ajJgdnaVkXNrvvcrFQywuJaRXZNFoGRBBwyzUw/tmyX544tcdPeIbLpay/Us9scnhuiWHE4u1AI9LqNbxorBWkFi2BIAg4Rx/UoVdxrDj976fVlqrbLPYel9budg7MDREwj8NEQAOlklPnlcqCdfGL3kgQcEo7rceriBoZ59d0vfN/nyNF5xodS7Bnf2ZY5/S4Rj3DDVI6jp1YCX83MNA1832e1UA30umJ3kgQcAlXL5cS5daqWSzZ19ZLC2YUiF5fL3HN4fFfPfLuWw3uHWC1YXFoJfgJFrRVcwvWkFSyujyTgLitVbI6fW8P3PdKpa6+Pf+ToPIlYhFv3D3cgut7VGJqn21CGiERMHM9nrSD7xonrIwm4i1YLVY6fWyMeM0g2sY3QRsnilZMr3H5ghHgT44R3s2wqxp7xLEdPBTscrSGdjHJpuRT4SAuxu0gC7gLf95lfLXHq4jqZZJRYtLlk+uTLF3E9n7uUdL414/DeQS6tlFnZCL5eG43UNu5cL0otWOycJOAO8zyfc4tFLiyWyKXjRJrc8tjzfJ544Tz7pnKMDabaHOXV+b5PqWKHvgZ6eG4IINCdMjZLJiJcXCnjybZFPcfzfBzXq+27aLmUqw6lik2hbLNeslgrVCmUg1vc/0p2z/a5IeC4HmfmN9go2eQzsZY60Y6dW2Nlo8q775ptY4RX53k+5aqL63kMDWaYX3Ra/nd00lAuwdRImuePLfHWmycCjzMWNSkXLQplm3x6923e6fs+vl+bPu/7Pp5fO+Z54FO/z6vd53o+nudjGwbLKyUihoFhGpiGgWkAhoFhQO3Hxs/1/xv1kUGXn2vT9X0f36s9t+t5eH7teTzPx/XqxzzwfA/H/WEc+D4YMLBaYW2tXL9t/PDf5UE2HSU7095p/pKAr6LxVzGZiGJe54e3arucvLCB43rkd7DT7pFX5xnIxLuy6abreZTKLoYBIwNJhvNJZqcHqZSqzK9WyGfCOxnknsPj/OnjJzl5cYMbpvKBXz8Zj3BpuUQuFd4/RDvRaCG69f/bjofluFRtl6rlYbvepvq3D1tX7/Nrx3x8DAwwaru7VD1YXS9DPQf6+OAb1H+qn7vpstQe52+5buM533D9ywn7jYnbAMz6sqLxqPnDhA4MZBJ49pvXerYdj058r5EEfBWLq2X06VXiMZOBTIJ8Nk46ESXaZNmgoVRxeP3iOhEDMk2MdNhqeb3CifPr/MRb93Z03QfH8ShbLqYBEyMphrLJN0wSGR9OU7FcimVnR/+uTrjlhmEeefosT74y35YEHI9FWC9aFCvONYcQho3jelQsF8f1qNouluVhOQ5V28N1vcstwhqfiGkQMU0ipkE6EdnRH5xsOo5ttf+rfa8I56cmRJKJCIlYhI2yVevMMWo97IPZOJlk7JqjEdYKVU5f2iARj+x45MIRvYBpGLz11qlt/1oHzbJdKpZLPGoyM5ZhIBMnss32SKZhMDuevTyGOREP38iMaNTkrkNjPPbCBZbXKwzng183OVFvBWem86FuBfu+X/uDWbFZK1QpVpx6Y9PAjHA5wSbjEUxTUkMnyKvcBNM0SCWikKi9iS3H5ex8AZ/axo3DuQSZVIxk/IetAt/3WVqrcG6xSDYVbbqzbSvbcXnu2CKH9w4ykEmwstqeBOz7PlXLxXI80oko+6byZFOxa5ZeohGTvZNZjp9dI2IaRJvYxaPT7j48xuMvXuSpowu87949gV8/UW8Fl6oOmWS4WsG247FWqHJ2vsB6sVpbaQ9IxM0dlcJEsCQBt8gwDBKxyOX1em3H4+JyCQ+ImgbDuQTZdJy1QpXFtTK5dPy6ygYvvb5CxXLbtui67/uUqg6u65PPxNkzkSKdiLbUkkvGo8xNZHn9wga5dCx0y2Pm0nFu3jfEc8cW+bG3TDe11nKr4lGT+eUyN0x3NwF79T+kxbJ9eS+7fD5FqWzV+jJC9rvZ7SQBX6dY1LxcF3U9j+WNCvOrFQxqCe16vpI21n0YG0wyNxH8ug+e57NRshkdSDIykCQZ3/nbIZ9JMDXqcmGpRD4dvg6pe28e56XXl3n++BL33hT8H7NkIsp60erK5p21RZwc1ooWG8UqjudjGgaJuEkuHWcwm8R3ZCH5MOpKAlZKfQz4NBADPqu1/tyW++8Afh/IA38N/JLW2lFKzQFfAsYBDTyktQ52zcHrEDFN0sngvoKfWyxyYanE+98615aEVig7TI2mGR8MZjv7sYEUlarLWsEiF7KREbNjWWZGM3z/1Uvcc3isLa9nLGoyv1pmbnYo8Gtvx7JdVjaqLKyW8XyIRQ1p5faYjhfslFIzwG8DDwB3AL+olLp5y2lfAn5Fa32I2piTX6gf/zzwea31YeAI8Fudibo7jhxdIB4zufXGkcCvXak6pBNRRgeCm9RhGAYzYxmSiUgot3G/7+Zxltdr07/bIRmPsFZo/xb25arDmfkN9JkVFlbLpJNR8pkYKUm+PacbPSbvBr6jtV7WWheBrwIfatyplNoLpLTW36sf+iLwYaVUDHhH/fzLxzsVdKeVKjYvv77M7TeOBF6z9Dwf2/GYHc9c9/jmrSKmydxEDs+vdSCGyU37hsilYzz5ynxbrm8YBtGIwaXlYuDX9n2fQtnmB+fXOHZmlY2SRTYVIxvCmrtoXjdKENPAhU23LwD3XuP+WWAUWNdaO1uOt2RkpPla6plLGwwMpLvSs/3MU6dxPZ933bOXocHM5eObf96p1UKFm/cMMzl8faWHsbHcFe8bHEzz6skV8pk4kQ4liGZem7ffMcM3njiJ5cHE8PW/llsN+j6Lq2WS4znSyVht+GHU3HHJw3VroxjOLxapWA6ZTJKR4db7A4J43wQlTLHA9vFYTm38+9Xe40HoRgI24Q2TTAzAa+L+rcfZ8rimLC0VWlrBam2thFXp7MvkeT7fff4ceydzJCKwslprUQ0NZi7/vFPlqkM8GsFwHBYWdr5z8NhY7pqPzydMTp9fZaAD05WbfW1umhvgz79n8O0nT/GBt+1tSyzZbIpXTyzQWCLCNCCdiJFJRUkmoiSiEWIx86rfPhrDx+ZXSjgepBKR2tRnx6Vcbm0BoCDeN0EJUyxw5Xhsx8MwYGGhtaF6rSbsbiTgs8DbN92eBM5vuX9qm/vngQGlVERr7dbP2fy4vnH83BqrBYt33x3sug+N6aX7pwYCLz1sZzifpFx1WFqvhGbMaSYZ49b9w7xwYol33TlTG98dsFjUfMOsON/3sR2XhTWbzesXpRMRMqkY6USMeMwkHo1gOS7L61WW1mr7zqVTEdLbTIIR/aEbv9lHgAeVUmNKqTTwQeBbjTu11qeAilLq/vqhnwW+qbW2gceAj9aPfxz4ZufC7pwjR+fJpWOBr/tQKNlMj2Q7OmNtaiRDJhmjVAlPp9y9N09gOx7PHlvsyPMZhkE8FiGTjJFL1/7LpqJ4vs/yeoWTF9c5dnaNl08u89qZVVY2KmTTUXKZ2LYzEEX/6PhvV2t9DvgU8CjwHPCw1vr7SqlvKKXurp/2EPC7SqmjQBb4D/Xjv0xt1MQr1FrRn+5s9O23vF7h+Ll17jw0FuiHr1x1yKRiDOUTgV2zGaZpMDeRw6A2bCoMJofT7J3I8tSr811bUN0wDGLRCOlkjHwmfjkp5zNxMn22sI+4sq6MA9ZaPww8vOXY+zf9/Dxv7JhrHD8F/Fi74+ump+vrPtx5aDSwa7qeh+P47J/OdqT0sFUsarJvKs/xc6u19QZ2OC07SPfdPMFXHj2BPrPKTXs7M273WiTp7j7d/ySIy2zH47njtXUfcgGuL1soO8yMZdoyBbdZqUSUPeM5CmUn8J2Kd+LQnkEGs3GefOVSt0MRu5gk4BB5+fVlylWXuwPccqhUccinYwzlOlt62M5gNsHEUIpCufv1YNM0uOfwOKcvFbi4VOp2OGKXkgQcEpbt8v1XLzE2mGTvZDBjD936otkzo9nQfL0drW+nFIbNLN9ycJRY1OTJV6UVLLpDEnCX+b7P0VMrfP5rL3FxucwDt04FliyLZYfpsUyodlCORkzGBpKUq93vkEsmotx+4wgv/WCZYgf2/xJiK0nAXbS6UeWP/sdxvvLoCZKJKD/3/sOBrftQrjjkM3GGst0vPWw1lE/iel4oasH33jSO6/k8/dpCt0MRu5AsR3kF5xYKfPk7x5kZTXPXobFAW5Gu6/E3L1/ir5+/gGHAe+6e5d6bxwMbdua6Hp4P06OZ0JQeNkvEIgxkEpSqdlsmQrRidDDFjdN5jhxd4P5bJkMxQkPsHpKAryCViLJRtPj268v89XMXuOPgKPccHrvuLW1OXdzgG987xcJqhcNzg7zvvjkGAp4lVqg47B3Phqr0sNXYYJLj56qkQtBAv/fmCb78yDFeObXCrfuDX3lOiCuRBHwFw/kkv/mJe3j82bO8cGKJp16d58lXLnFgJs89N01wYKa1/b+KFZtHjpzl+eNLDGTifPTBA6g9we9wXCo7DGYSDISw9LBZKhElnYhi2W7X/1AcmMkzkk/w5CvzkoBFR0kCvorG+rYHZgd4zz0Wz7y2yNN6gS8/cozhXIK7D49zx4ERklf5Gu37Ps8dW+SRp89StTzuv3WSt9821Zak47i1rbSnR9OhLD1sZhgG40NpTl5c73oCNgyDe2+a4JtPnubsfIHZ8eB3HxHt4Xm1PRqrtodlu1Qtl6pT2+G5artYjothGLX9CiNmfeNRg0iktgHpYNGmXKrWdnuO/PA839/ZDuatkgTcpFw6zjvvmOaBWyd59dQqTx2d5y+eOsOjz57jtv0j3HPTOONDb1zc/NJKiT/7m1OcnS8yN5Hl/W/d+6ZzguL7PsWyw77JHLFoeEsPm2XTMWIRE8f1iHa59nrbgRG+88w5nnx1XhJwCLiux+J6hfmVMpeWyyyvV6hYbi3J2rWEW7VdbKflBRGb9rfum+PATPDfUjeTBNyiSMTklv3D3LJ/mAtLJZ46Os/zJxZ5+rUF9k7muPemcW6YyvHY8xf43iuXSMaj/J3793H7gZG2tkpLFZehXPhLD5uZhsH4cJrzCwVyXV4tLRGLcMfBUZ56dZ71u63QrN7W73zfZ61oMb9SfsN/i2sVvPooGbO+2W0qESWdjDKUSxCPRUjEa5vjxmPm5Y1y47EIiTfcrrVmHc/HdT1cz8d1fRyv9nMqlWBtvYTr+rj11QLd+oYFB/cMtP3fLwn4OkyNpPk79+/j3XfN8uyxBY4cXeCPHz2BYYDv1wb6P3jXLOlke19m23ExjNrKY71mIBPn/KKB5/ld39nh3pvGefKVSxzR87zrzmCXAhW1EtmJc6ucOLNSa9mulFhYqVDdtEjTQCbO+FCKg3sGmBhKMT6UZiSfaNvolNp6wG/+Y9tYD7jdJAEHIJ2Mcv+tU7ztRyY5dnaN4+fWuHX/MHMT7V1NH2o1sHLF5cbZgcu7M/eSxsSMpfVqR2puVzOUS6D2DPK0XuTtt0335OsZRourZZ45tsjzx5cu75eXjEcYH0px643DTAylGR9KMT6Y6uhSqWEgCThApmmg5gYDX8f3SnzfZ6NsMzue7cq2SUEZyieZXy3j+37XOw/vvXkcfWaVl15f5i0Hg1uRbrexHY9XTi7zzGuLnJkvYBq1z8bbbpsmn4yQS8uSmyAJuKcVSjaj+STDIVho53okYhEGswmKle5PzNg3mWNiKMX3X7nEHW2u2/ejS8slnnltkRdOLFG1XYbzCR68a4bbD4ySTcVCtyVRt0kC7lGlikMqEWNqJJyz3Vo1OpBkZaP7EzNqQ9LG+foTpzh1cYN9U/nuBtQDLNvlpddrrd3zi0UipsFN+4a48+AoeydzffH+bBdJwD2osd373ES26x1XQUknY2SS4ZiYccv+ER55+hyPv3hREsgV+L7PhaUSz7y2wEs/WMZyPMYGk7zv3j3cun+k7R3P/UJepR7jeh7lqsuBmYGuJ6qgjQ+nOXmh+xMzYlGTt982yV88dZZvHznLe+/Z09V4wsT1PF44scxTr17i4nKZaMTkR24Y4s5DY8yO9ce3sU6SBNxDfN9no+QwN54l3cOdbleSTYVnYsZ9N0+wslHley9fIpuK8aO3THY1nm5rJN7Hnj/PasFiYijF+986xy37h0nGJY3slLxyPWS9ZDE2kLzuBYHCKkwTMwzD4H33zlGsODxy5CyZZJTbD+y+URFbE+/0SJqfuG+Og7MD0toNgCTgHlGuOEzkUwz2eW1tIBPnQkgmZpimwU+9/QbKVYc/ffwkqUSUQ21YQCmMXM/jxRPLPPbCBVY2qkxJ4m0LGWneAyzbxQdumB7oelJqt2jEZHQgSbnS/R0zoBbPR951gMnhNF/9yx9wZr7Q7ZDayvNqi0d9/msv86ePnyQZj/D3HzzAJ3/yJg7tGZTkGzBJwCHneh4Vy2XfZL7rnVOdMpRP4vrh2DEDauOUP/bug+QzMb78yDHmV8rdDilwjcT7ua+9dDnxflQSb9tJAg4x3/cplBxmx7O7alhPY2JGxQpHKxggk4rx0HsOEY2Y/Ndvv8ZaodrtkALheT7PH/9h4k3EInz0XbXEqyTxtp0k4BDbKNmMDaYYzvVnp9vVjA6ksJ1wtIAbhnIJHnrPQSzb479++xilSu9u5Om6Xr3U8BJ/8t2TJGImH33XjfzC374JNSeJt1N2T7Oqx5QqDplkjMnhdLdD6Yp0Mko6EQnFxIzNJobT/P0HD/Clv3iNLz9ynJ9936FQxXctFcvhmdcWefKVS2yUbCaGUnzkx2+UpNslkoCvwjBqi4ok451dJMayXQxgbiLX951uVxOWiRlb7Z3M8aEf289XHj3BH//lCf7+gwcC21C1XdaLFk++comnX1vAsj32Teb4yR/d1/LWWiJYHU/ASqk54EvAOKCBh7TWhS3nxIH/DNwNlIGPaa2PKqViwBLwg02n36W1bkuxcGwozcVsgtVClUTM7MiAc9fzqFouN84M7vrlELOpGLFoOCZmbKXmhvjA2/by/z1xij/97kl+6u03hDKRXVop8Y0nz/DM0Xl8fG7eN8zbfmSC6dHeWzu6H3WjBfx54PNa6z9SSv0W8FvAP9tyzj8Bilrrm5RS7wC+CLwVuA34G631+zoRaCIWYe9EjrGBJBeWSqwXLZLxSNtaZJ5X63Sbm9hdnW5XYtb3jTu3UAjlDhV3HhqjWHF49JlzpJMx3nvPbCiSsO/7nLy4wRMvXeTEuXXiUZO7D4/x1psnGOzxlfP6TUc/5fUW7DuAn6of+iLwV7w5AX8A+AyA1vqvlVJj9ZbzPcCYUuoI4AD/TGv9V+2OO52MsX86T6Fsc36xxHrBIp2KBtIq830fy/aw7NoK/JMjaYZ2YafblYRpYsZ2Hrh1kmLZ5slXLpFN1Rbm7xbP83nl5Ap/8/JFLiyVyCSj/Phbpnnwvn1YFatrcYkr63QzaxRY11o79dsXgO32fpmu38eW83zgvwP/BrgF+KZS6hat9WKzAYyMtLbh4tjYD3e1GAf27RlmdaPCmfkNHNcnm4ztaLsU2/EoVW18H8YH44wPpcmlr32tzfF0W6di8SMRLi6XyKev3goeGuzO1+qPvvcwtuvzP54+x/hwlnsHMx2NpWq5PPnyBf7q2XMsr1cYG0rxkQcPcfdNE5fLWGFasL9bv6cr2S4ey3Exjfa/x9uWgJVSHwZ+d8vhY9SS6GbbbWtqbjnPADyt9e9tOvasUupJ4H7gT5qNa2mpgOc1N7xpbCzHwsLGtvdN5BOsbFS5ML+B7/ukk9FrttA8z6dsObgeJKIRRgeT5FIx4rEIdsVi+RqtlKvF02mdjMWzXVZWijhV64pf8bu90Pf779vDWqHKHz2iSSWjzI60Z/frho2SxYlz6xw7u8YPzq9TtV32jGd5z903Xp44USjUJox0+7XZLEyxwJXjaewJt7DQWumr1YTdtgSstf5j4I83H2t0oimlIvWOsyng/DYPP1u/70T99iRwXin1s8ATWuvGcQPoymDMiGkyOpBiMJtgcbXMwlqZiGGSSkbekCR836dqu1i2R8Q0GMknGcgmSMYjoagX9oIw7ZhxJZGIyYd//Eb+n29p/svXX2YgE2d2PMue+n8TQ6nrKqF4ns/ZhQLHz61z/OwaF5dLAOTSMW7eN8QdB0fZM97atzvRfR19N2utbaXUY8BHgYeBjwPf3ObUb9Tv+65S6gGgorU+rZS6HXgb8MtKKQW8BXisM9FvLxoxmRzJMJRPsrBaYnm9SixqEo2Y9ZlcPvl0nJnRJJlkLJR1zF4wOpBidaPa8SGBrUjEIvxP7z3Ea+c3eO3UMqcvbfDy68sAxKMmM2MZ9oxnmR3PMjuWueaommLZ5vi5NY6fW+fEuTUqVm336z3jWd515wwHZms7B4f19RDX1o3mxC8Df6CU+jRwGvgZAKXULwHTWuvPAP8R+D2l1MtAFfjZ+mP/JfBflFIvUStRfFxrHYrv5IlYhNmxHCP5FBeXS9iOx8xohlw6vuuHkwUhnYwykEtQLNuhHiGSTER551tmue2GIXzfZ61ocXa+wJn6f4+9cIHGEhfjQ6nLLeQ941kGMnHOLxU5Xt9Z+/xirZWbSUZRc4McnB1g/1SeZEi/BXSD7/t4vo/nbf9zo5BpGAaRiIFpGkSM2v/D0BgywrLgSQfsA14PqgbcDWGKpxuxVCyH186sbrujbphqi1eLpWq7nFsoXk7IZxcKWHatGyRiGriej2HAzGiGA7MDHJwdYHI4fV2t3F55ba7EcWq7wLD5JfABA0yjVv6JRgyipln72TSIRg0i9dtQ28bLtj2qTq0caLsenuczMJBibbVUm3Xlg2nWliH1fYjHTA7MtLb86NhYrqVflPwpFT0jGY8ykk+yWrDIpHrzrZuIRdg/nWf/dG2zT8/zmV8tc2a+wNJahdmxDPunB0Ldyu8Ez/OpWA6O65OIRZkey5CKRzHN2h8qo9GKvY4/TJ7nMzSc4eKldVzPx3U9bMer9dk4HqlE+2dg7u7fsug5Y4MplteroR0X3CrTNJgcTu/aNT+2qtouVcvDNGA4n2QwmyCVaE+HtWkaxGORrnbsSgIWPSUeizA2lGRxtUI2HZ6xrWLnXLdWYvCATCLK5ESabDoW+vU1giAJWPSc0YEUi6sVXM/bFR/SfuT7PhXLxXZ8YhGD8eEUA5kEiZAtvNRukoBFz6kN/UtzfrEYyjUixJVZjst60cLAYDAXZyiXrE1i2qVD6SQBi540lEswv1IO5UppYnvFskM8WZuxl0vH5feG7IghelTENJkaSVMqO9c+WXSV59XGQ2dTMW6+YZShXFKSb520gEXPGsgmmF+pYDvh2TtOvJFlu1Qsl5nRDCP5pExK2kJeDdGzTMNgajRNubrdek6i24olB8+HAzODjA7IlOntSAtY9LRcKkY6EaFSlVJEWHiez0bJZjCXYGY0I+WGq5AELHqaYRhMjWZY2JAFx8OgNpHCZXY8y3AuIa3ea5A/TaLnZZIxBnMJytIK7hrf9ymUahsMHJwdZCSflOTbBEnAoi/MjGWxHI9dtLhUaLiex3rRIp+Jc2BmILRrNoeRvFKiL6STMYZzCdZLVqi23+l3VdvFslz2jOcYkpJDy6QFLPrG+FAaz/WlFdwBjZIDvsGB2UGGpeSwI5KARd9IxCKMDqYoyuSMtvI8n/WSzWA2zo0zeSk5XAdJwKKvjA7UNsNsdtF90RrX9dgo2cyMZpgZy8oQs+skr57oK7GoyfhwimJFWsFBsx2XYsVh32ROJlYERBKw6DvDuSSmaeC6MkMuKFXLxbJ9bpwZYCCb6HY4fUMSsOg70YjJ1HCaYkXWiAhCqeLgeT43zuRlhEnAJAGLvjSYTRCLGtiOtIKvR7HkEIuaHJgdIBmXzragSQIWfck0DaZGMpRkdtyO+L7PetEinYpww1SeWHR37VTRKZKARd/KZ+KkE1EsW0oRrfB9n42izXAuwd6JvIx0aCN5ZUXfMo1aK7hcdWVYWpNqi6fbjA+lmBnL9sXO02EmCVj0tUwyysxYhkLZpiot4atyXI9CyWbPWJbJkYwMM+sAScCirxmGwehAioOzg+AbbJRsmaq8DdtxKVUc9k7mGBlIdjucXUMSsNgVUokoB2bzjOSTrBdtHBkdcZmM8e2ejo8rUUrNAV8CxgENPKS1Llzh3PcAv6m1frB+2wD+HfCTgAf8gtb68Y4ELnpexDSZHs2QTUU5s1DEcjzSyd09tKpUcTAMuHEmL8PMuqAbLeDPA5/XWh8GjgC/tfUEpZSplPpfgT8CNo9/+SBwE3Az8FPAF5VS8q4RLclnEhyaHSCdiLJWtHZlB53n+awXbeLRCAdmZIxvt3Q0ASulYsA7gK/WD30R+PA2p95U/+8Xthz/APBHWmtPa/0acBr40fZEK/pZLOH7HiIAAAvySURBVBph72SO2bEsxbJNxdo944VLFYdixWZ6JM3+aRnj202d/rM3CqxrrRvv9gvA7NaTtNYvA59USv3Ylrum649p2PbxVzMykm3ldMbGci2d325hiidMscDO4hkfh7mZQU6eX6dsOeTSccwAev+HBjPXfY0gDQ1mcByPjYrF9GSaPRO5rrV6++F9E5S2/QaUUh8GfnfL4WPA1u97rfSGmFseb7T4eJaWCk1/5Rwby7GwsNHK5dsqTPGEKRa4/nhGMjEuWTanz62STkaJRXf+5XBoMMPKanHHjw/a4ECacxfWwYSZ0QwDiQgba2W68dvrt/fNdtdrRdsSsNb6j4E/3nysXoJYUkpFtNYuMAWcb+GyZ+uPaZhs8fFCbKsxdTmXjnP60gaW7ZFJ9X5d1LJdVotVBnNxJobTMqstZDr629Ba28BjwEfrhz4OfLOFS3wDeEgpFVFKHQAOAU8FG6XYzbKpGAdnB8mmY6wVLQolm1LFoWq7OI7XMx12tU42C983uGnvsCyeHlLd+BP/y8AfKKU+Ta0T7WcAlFK/BExrrT9zlcd+FbgPeKF+++e11uV2Bit2n1jUZG48y3AuQdV2sW0Py3WpWh5Va9O0Zt+nVgUD04SIaYRiHeJy1cFxPCZH0ozmU2TTccrFaldjEtszdtGsoH3A61IDDkaYYoHOxuN5Po7r4Xo+bv1ny3GxbA/L9khl4iwuFgCDSMQgETOJdKD16boehYpDNhljZixzuZMtTL+rMMUCbakBt9SD2/tFLiE6zDQN4uaVh26NjeU4n4lTsRw2SjZrxSpO1cX3feJRk3gsEugiN57nU6m6+MCe8SxDWdkevldIAhaiDWJR8/9v7+6DrajrOI6/zzn3CVARwwRM1Mb8miWjiVmTqYWakqlkVoOTmCEyytiYD5Wh+TCB6fgwSdqMYFpUNqSWBjIa0sPkQ0MDQoHfHENrgiGdmi6i3Hs99/TH73dwWc59AM6evZf7ec0w3LO/3bvf+d3d79n97e53aW5qYe/hLYwbPYKOrjJbO8u0b+lg85ZOqqMULc1FWpqLvSbMSqXC2+UK5e5uyuUK3d1URz6A8IUwcq9mDhg1XPf0DjJKwCIN0NpcorW5xMgRLVQqFTq6QvGb9i2dbH6rCyoVioUiFCt0lwEqUChAJYwvt7aUGNHaTGtridamEk1NRZqKRZqaCpSKurg2WCkBizRYoVCgraWJtpYm9tunLQwhdJZ5c2sX5e4KbS0lSqUizaUipVJBdy/swZSARXJWLBYY3tY05AsDDUX6ahURyYkSsIhITpSARURyogQsIpITJWARkZwoAYuI5EQJWEQkJ0rAIiI5UQIWEcmJErCISE6G0rOPJWCnywDWs2xgPQykeAZSLDCw4hlIscDAimcgxQJ1j+cQwqvT+vWa7aFUkP0EwuuQRESydCjwSn9mHEoJuBU4jvAq+3LOsYjInktHwCIiA50uwomI5EQJWEQkJ0rAIiI5UQIWEcmJErCISE6UgEVEcqIELCKSEyVgEZGcDKVaED0ys6nAbKAZuMvdv59qPxqYD+wD/B6Y6e79etJlF+P5NvD5+HGxu19To/0i4L9x0n3pmOsYy3Lg3UBXnHSJuz+faD8FuAMYBvzc3WdnEUdc13RgVmLSocCP3X1WYp7M+8bM9gGeAc5091f60wdmNh5YSOhLB8539zcyiGUGcDlQAVYQ/l6dqWWmAbcAm+Kkxe7+rd2NpYd4fkgoA7AlznKjuz+aWiaT/SsZC3AkMCfRfCDwvLufmVoms76pZcgnYDM7EPgOcCzQATxjZsvdfW1itoXAdHd/zswWABcD92YUzynAacAxhJ1oqZlNSW20E4EvuvuzWcSQiKUAHA4cXGuHMLNhwP3AScA/gcVmdoa7P5FFPO4+n7CjYmYfAH4J3JCaLdO+MbPjgfsI/bIzfXAPcI+7P2Rm1wHXAV+vcyyHA1cTtuXNwAPAZcCdqUUnAl9z95/tzvr7iiexrhPdfWMvi9Z9/0rH4u5LgCWxbQzwR+CKGotm0jc90RAEnAI87e7/cfctwC+Az1UbzexgYJi7PxcnPQCcl2E8G4Er3b3T3buAdcD41DwTgWvNbLWZzTOztoxisfj/k2b2gpnNSrV/GHjJ3dfHBL2QbPsm6V7gWnd/PTU96765mJDUNsTPffaBmTUDJxK2LajfNpSOpQO41N3b3b0CrGHHbQdCTZRpZrbGzBaa2ag6xLJDPGY2PK7//vj3uNHMtss5Ge5f6b5Jug34gbu/VKMtq76pSQkYxhGSXtVG4D070V5X7v7X6sZoZu8jDEUsqbab2V7ASsKRzoeAfQlHU1kYBSwDpgCTgJlmdmqivaF9UxXPEoa5+6LU9Mz7xt2nu3uyql5/+mA00J44i6hLP6VjcfdX3f0pADPbnzBc86sai24EbgYmEI7a5+1uLLXiAcYATxOGhD4CfBz4SmqxTLahGrEA2/apk4Hv9bBoJn3TkyE/BEH4EkpWJCoA3TvRnol4ir0YuDr5TR3HDScn5rudcApc93GqeBq/7VQ+nh5OBp6Kk3LpG+ASwpjrdhrZNwn96YP0PNSYp27isNoTwAJ3/2263d2nJOa9FXg5izjc/e+EL+/quu4GLiAMDVQ1ehuaQRgK6qjV2Ki+qdIRcCgdNzbxeQzbn7b01V53ZvYxwpHnN9z9wVTbeDO7KDGpwDsXyOodxwlmNqmXdeXRNy2E8dbHarQ1rG8S+tMH/wZGmlkpfh5bY566MLMjCBeeHnT3m2u0jzSz5NhngX6WTtyFWI4ys3NT60r/PRq9DZ0DPFSroZF9U6UEDL8BJpnZ/nHM6lxgabXR3V8FtsakCPAlwtFFJszsIMLFpanuXmtDeQu41cwOjRfJLgMerTFfPewL3GZmbWa2NzAtta7nQ8h2WEwuU8mwb6IJwN/ieH1aI/umqs8+iGP5fwC+ECddkJ6nHuLf6Elgtrvf3sNsbwDXxItUEIYpsuqjAnCXmY2K4+Az0utq5P5lZqMJQ1fre5ilkX0DKAHj7v8inKIuB1YBP3X3P5nZEjObGGc7H7jTzF4E9qLn8aN6uApoA+4ws1Xx38xqPO7+GuEU/HHC7UwFoKedbbe4+68JwyArgT8D97v7szGmce6+FbgQeBhYC7zIOxeasvJewlHTNnn0TVVvfWBm883srDjrpcAMM1tLGAvN4na96cABwJWJbeemZCzuXiZcV7jXzNYR7pi4pudfuevcfTUwl3DHwVpgVfXugpz2rx22nRhLw/umSgXZRURyMuSPgEVE8qIELCKSEyVgEZGcKAGLiORECVhEJCdKwDKomdmTZjY63tZ0ZI5xTDSzPm/BM7PrzezsRsQkA58eRZbB7lQAd5/c14xZcvcVJIo49eKThHtiRXQfsAxeFmrNXgj8hVDv9XjCjfxzgX8QqrltIdR3vTx+ftjdr4jLf4bwQEQL8CZwVXzQ5AbgMOAgwmOyqwjlEttjjY55wLsINQxud/cfmdnJwDx3/6CZPQC0A0fF37Ga8PTbNOC7wGuEkodZP6UnA5yGIGTQcvcvxx8/QahcVXUccIu7H01IhN8EPk2okHaZmY2LVbHmAJPd/RjCY7KPmNmI+DtOIjwVdQShHsD1ZtZEqEFxt7tPAM4A5pjZR2uEdyxwOvB+4BDgvFgYfgWhwJKSrygByx5pvbuvjD+/DCyP9ZVfJyTk/QhDF2OBZWa2CvgJoQrXYXG5Re6+yd27gQXApwjFvdvc/REAd99AeAT59BoxLHX3jlgHYk1cp8h2NAYse6J0qcFaFdFKwDJ3rxbIqRZC2kAooZisglUEynGZ9JhdkfAqq7S3Ej9XCHUpRLajI2AZ7MrUToB9WQacFss3YmaTCWO1w2L72bE8YZHwdoXHCYV2uszss3GZcYTqeU+lf3kv3t7FeGUPpAQsg90i4HeEi2/9Ft/5NwN4yMxeILwF4azEizI3Ed5Esg74HzAnDiecA3zVzFYTSpne5O7Ld2LVjwFzLbz8UYY43QUhkhLvghidfNuySBZ0BCwikhMdAYuI5ERHwCIiOVECFhHJiRKwiEhOlIBFRHKiBCwikpP/A63/mhozwG6FAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "x = np.random.gamma(6, size=200)\n", - "sns.distplot(x, kde=False, fit=stats.gamma)" + "sns.relplot(x=\"timepoint\", y=\"signal\", kind=\"line\", ci=\"sd\", data=fmri);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "# Plotting bivariate distributions\n", - "\n", - "It can also be useful to visualize a bivariate distribution of two variables. The easiest way to do this in seaborn is to just the `jointplot` function, which creates a multi-panel figure that shows both the bivariate (or joint) relationship between two variables along with the univariate (or marginal) distribution of each on separate axes." + "To turn off aggregation altogether, set the `estimator` parameter to `None`. This might produce a strange effect when the data have multiple observations at each point." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", 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tsbRex3PsngoITdTMCNaj8NSVZaYnetcINZMJRkVfURCODGJ0TjBhFBMbum7+URxz5fo6r7hzvO+5lXrInRfGmSiksKzkOWzLanvcj9hAqepv2SU0m3a5eKbIk1eWeeOrpnvGlSSZQBCOHuJeO8H4fYQ1r82X8cN423jOcDFNLuOSTbukPQfPtZOVzTaJByOFFMF2op4kLraltTrzK7WexyWZQBCOHmJ0TjD1PkoEl+cSNYCLZ3r7rcIwJpNKDM2tkMu42Ja1dZIASeo0wJNbtTuQZAJBOFKI0TnBlGshbg8lgudm15iayPV1f9WCiJHCrbetdmyboXyKep907SaFnMf5U4Wte+xIMoEgHCnE6JxgqvUQtyNzrR5EXJsvc2kLFQJjoJD1buvaI8U0Qbh9B9d7L4xwY7nK0lofF5soEwjCkUKMzgkljg11P2xr+QxJK4PYGO7oE89pusRut6FbLu2CxfYutgtbu9gkmUAQjhZidE4ofhhBj4D/5bk1XMfi/GTv1tR1P2I4n9oy3XknuI7NUM7btmZnpJDm7HiOJ6/0FgCVZAJBOFqI0Tmh+EHcc5VxeXadmdPFLrfbxnlh3Ld2Z7eMFjP4wU5cbKPMLpRZLfu9B1hsGx8SBGEwEKNzQqnWQ5yOJIJSJeDmSpVL26gQ5NK3lrXW9TwZF2sXLra+CQUmaastCMLgI0bnhFKph3gd8ZwN6Zs+8ZygkSrt9WiDcCu4jk0h622b8jwxnGFyJNPX6LiuxXpF4jqCcBQQo3NCqdS7kwiem1sjm3Y4M5breY4fxIwUbz1VuhdjQ5m+Raqt3Dk9zIvzZaIesRvPtVnv53oTBGGgEKNzAgnCmDiK25IBjDFcnl3bspVBHMcUMntrdPIZF8z2LrZzk3mi2HB9udp1zHVs/DCSZAJBOAKI0TmB+GGE6dAiWFyrs1YJ+tbnxLHBsi0yexTPabLhYttmtdMU/ZydL/ceYESZQBCOAmJ0TiB1P6Iz4/ny7NbxHD9opErvQ0O30eL26gRD+RT5jMu1hT5GxxJlAkE4CojROYH0ylx7bm6NkUKK0WLvdOggMgzn9yZVupN8NrVtFptlWUxP5pntY3Q8xxZlAkE4AojROYGUa+2Za3FseH5uve8qBwBjtmxFcDt4rk0u7W2rPD01kWdhtUat3m1cUq4jygSCcAQQo3PCiGNDPYjaVjqzi2XqQbR1qnTa7dlhdK8YG0pv62KbnmzEdXp0E3VdUSYQhKOAGJ0Thh9Gjcaem0anGc/p18rA92NG90iFoB87ERCdGk+MzlZxHUkmEITB5lA6hyql3ga8E/CA92it39tn3O8Aj2itf6ux/aPArwA3GkM+orV+x/7P+PjghzGdTXSem1vn7HiOXKb3jT8yMfnbVJXeDs91yGVc/CAi1adPTzbtMj6U3jKDrR6E5DLSEFcQBpUD/+tUSk0D7wYeAOrAo0qpT2itv94yZgr4DeBNwCMtpz8I/COt9X89wCkfK2p+2Ja55gcRL94s8dr7TvccH8cG17ZIp/Y2VboXo8UM1xbKfY0OJHGdy3PrGGO66omabQ5Gt1bxEQThEDkM99pDJKuXJa11Gfgg8NaOMW8H/gD43Y79rwZ+VCn1uFLqA0qp0f2f7vGiUm3voXP1ZokoNlya6n2nrgcRQ/n0vqRKd1LIetsWiU5PFihVA9Z6yN5ImwNBGHwOww8xBcy1bM8Br2kdoLX+VwBKqdd3nDsH/GvgUeBfAL9GYqB2zPh4b8n+fkxODtbX5tudz+xyjaG0i9NY7sw9fh3XsXjF3adJ9dBUs0o17jg/2ldZeq9fn7V6hDH0Xe3cc2mcj33+KquVkIvT7d85JseLrJbrjI7luyR+DoNB+uwM0lxA5nOSOQyjYwOtX2ctYEfRX631DzQfK6X+JfDsbi++uFgijreX04fkgzg/v77bS+wbtzufIIxZXCpRzG9K2Tx5eZFzpwqUSzV6RUrWKz7l9Sx+tVvbbD9eHyuOmZsvU8z3jiHlPAvbtnj6yhIzk5sacaMjeZZXyqxXAq7Nrh56XGeQPjuDNBc4/vMRA7Y1h/F18EXgbMv2GWB2u5OUUsNKqX/YsssCpBpwFwRhRGsWQbkWcH2pyh19pG+CMCK3z6nSnRSyHmYLT57r2JwZy3JtvtR7gBFlAkEYZA7D6HwceJNSalIplQPeAnxsB+eVgJ9TSr22sf0zwIf2aY7Hks4unc/PJd/u+vXPqft717Btp6Q9h4znbFkoOj1RYHax0nPF2kwmEARhMDlwo6O1vga8A/gE8BjwsNb6C0qpjyqlHtzivAj4QeB9SqknSbLffu4g5nxcqNZDXHdzGXFtoYzrWJwZ793KIAbyfdKo95PtCkWnJ/MEYczCaq3rmCQTCMJgcyiOb631w8DDHfve3GPcj3Vsfxp41b5O7hhTrrX30JldKHNmLIdjd3/3aKZKZw4gVbqTYjbFnOlTi0OSNg2J0Tw1mm075jo21VpAGMUDkUwgCEI78ld5QoiNoeZHuA35mzg2zC1WNm7gndQbqtL9euvsJ+mUQzrlEvZxsY0PpUl7Tv+4jigTCMLAIkbnhBA0bsJNI7KwWiMI475GJwxNW5bbQTNWTFPr42LbTnFakgkEYXARo3NCaGquNWnesHsZnWaBZm6fVKV3QiHnEdM/tX1qIs+N5WojI68dSSYQhMFFjM4Joe5HWC3v9uxCmbTnMD7UnZ0WhDG5jHOoMZG055Bynb4utumJPMbAXA/FaUkmEITBRYzOCaFcC9p66Mwuljk7nusZs/GDg0+V7sSyrEYWW3+jA70Vp11H2hwIwqAiRueEUK6FG0WeURRzY6naN55jOJxU6U6K2RRxHy22Qs5jOJ/qrzgtyQSCMJCI0TkBhFFMFMfYDb21G8tVotgwNdFdnxPHBueQUqU7yaQcXNfqu2KZmsj3760jyQSCMJCI0TkBJN/4WzqFbpFEUPMjRgqHkyrdiWVZjA9l+maxTU/mWSn5lHvEb1zXolIToyMIg4YYnRNA0CNzLZdxGe6REh3FhmLu8FKlOynmUvTTZ90oEu3hYvNcm/WqJBMIwqAhRucEUK6FOE7rSicpCu1czRhjwCQdOgeFTMrBsy2iHi62qfEclkXPeh1JJhCEwUSMzgmgUg82kgj8IGJ+tcpUD721JFXaHSj5GMuyGB3qXSia8hwmR7L94zqSTCAIA8fg3F2EfSE2hmp9U/5mbqmCMb3jOX4QM1I83FTpXgzl0kR9fGzTE4kyQc+Oo5JMIAgDhxidY07SIsBsuNLmtlQigPwhNz/rRTadFKpGcQ8X20Seaj3qqTgtyQSCMHiI0TnmJEanPZ4zlE9RyLbX4URxjONYpPu0iT5MLMvqq8U2PZkYz6vX17qOSTKBIAweYnSOObV6SGu6wOxCuWd9Tt2PGSmkByJVuhdD+RRx1O1COzWSxXVsrl7vbjfsOja+JBMIwkAhRueYU25JIqjWQ5bW60yNd7vWwihm6BBVpbcjk3ZxbKurW6htW5wdz3H1Ru8e95YkEwjCQCFG55hTqW12C51d7B3PMSaJ+QyCCkE/bMuimEvhB71dbC/eXO8Z85FkAkEYLMToHGPCKCYMzUZn0NmFRJG5M106CGMKGW+gUqV7Uch5BGG3i216Ik8YGW4sVbuOSTKBIAwWg32XEW6LZuZak9mFMmNDaTIdxZ91P2a4MLiutSaZlAs9Qk5NxeleRaKSTCAIg4UYnWNMpysqSSLokSptmYFQld6OZmZdZ03OcCHJxuvX5kCSCQRhcBCjc4yp1EKchstsveKzXgm6kgiiKMZzbFLe4H8UbNsin/EaK7hNLMti5kyxb/tqSSYQhMFh8O80wi2TyN80kwga8ZyOdOl6EDE6wKnSnRRzHn6PbqIXzgwxv1Kj3kuR2kDNl7iOIAwCYnSOKcYYqn60kRwwu1DGsuBsRxJBFBkKA6QqvR3ZtIvpIYkzc7oIbGboteK5Vs/2B4IgHDxidI4pQRhjDBsrmNmFMqdGsnhuR1q0xUCnSneSSTn0UmE7fyYxOj3bHHg2JUkmEISBQIzOMcUP442AuzFmo51BK2EUk3IHS1V6O1zHJu25XYkB+YzHWDHdM67j2DZhGHfFggRBOHiOzt1G2BU1P8RurHJWSj7VetjlWvODmGJu8LPWOinmvJ6JAdOTW7SvJolfCYJwuIjROaZUW5UI+ihLh1HcJfx5FChkvZ4p0FMTedYrAWtlv+uYZVvU6pJMIAiHzaHo2Cul3ga8E/CA92it39tn3O8Aj2itf6uxPQN8ADgFaODtWuvSgUz6iFGuh3gtSQSObXF6NNs2xgLSRyie0ySdcuiVbNdaJNqpI9csEp0YyXafKAjCgXHgKx2l1DTwbuD1wP3ATyql7usYM6WU+jDw1o7Tfx34da31PcCXgF84gCkfOaI4iV80a3RmFyucHsttbAPEscFxbFLu0Vvsplwb27a7xD/PjOWwbauniy3l2pRrQe9mb4IgHBiHccd5iGT1sqS1LgMfpNu4vB34A+B3mzuUUh7wbY3xAL8F/PV9n+0RxA/akwjmFstMd9Tn+GFEMesdmfqcVizLopB18cP2GI3r2pwZzfbMYLMsi9gYKRIVhENmS/eaUuqvbXVca/0/buGaU8Bcy/Yc8JqO5/1Xjeu/vmX3BLCmtQ5bzju324uPjxd2NX5ysrjbS+wrO5nP8nqNkZLPcD7NjaUyfhDzkpkxRkc2Yzqr5ToXzg4xPnx77qbDen0sz+XK9TWG85vttUdH8lyaHuFLT91geChZ9bRiey7F4SzDhYNpyT1In51BmgvIfE4y28V0fnaLYwa4FaNjQ1uphQXs5Otn53ns8Lw2FhdLXW6ZfkxOFpmf792n5TDY6XyuL5UprdeIg5Ann1sAYCTnsryyuQJYrwSUCyni26jUP8zXp1ILWV2pEDfaFoyO5FleKTMxlKLuRzxzdZHJjvhNpRZw9ZrhzFi3/txeM0ifnUGaCxz/+YgB25otjY7W+jv24ZovAm9o2T4DzO7gvJvAsFLK0VpHwNkdnnfiqNRalQgqeK7N+FBm43jT9XYUkwiaNAtam72AmjQz9K7Nl7uMjuc6UiQqCIfMjrLXlFJ3AT8DFEhWJg7wEq31627hmh8H3qWUmgTKwFuAn9zuJK11oJT6NPBDwMPAjwB/fAvXP9YYY6jWA3KZ5K2dXShzdrzd1dTsn2MfwXhOE9u2yGVcgjAm5W0az4nhDGnP4dpCmfvvmmg7x3UsSpWAODZdrjdBEA6GnSYSPAykgG8FngfuAx6/lQtqra8B7wA+ATwGPKy1/oJS6qNKqQe3Of2nSbLdvk6yWnrnrczhOBOEMVFD/iaKYq4vdSsRHNWi0E6KuVRPxempiVxPZQLLsjBIkaggHCY7rdMpaq1/Sin1HpLVxa8Cf3qrF9VaP0xiyFr3vbnHuB/r2L4CfPutXvck4IcxVsN9dnOlShSbjfqVJrGBbOZQSrT2lFzGI44rXfunJvJ89okbBGGM15ESbmFR80Oy6aP/+wvCUWSnK53Fxs9ngJdprVfoDuoLA0A9iFpEPpvtDNqNjsVmQ7SjTL/fYXoiT2wM15e6DZLrWpSrokwgCIfFTo3OM41Vzp8BP6uU+lkSNQFhwKjUQlxnU/4mm3YZaWlFHYYx6ZRzpEQ+++G5Np7nEHVI4kxPbiYTdJJybUrVbpkcQRB2j1LqklLqP+3mnJ3eeX4K+LTW+ivAbwJvZAfBf+HgqdRCXHdT/mZqPNeW3eWHEUP54/N9YahHU7diLsVQzuutOO3YBJG0rxaEPeICcOduTtiRY1trXVFKfVgpNQr898Y/YcCI4jhRGkh5BGHEzZUqd58faR8TJW0Ajgv5bIqF1VrX/qktFact6kF0LFZ7grATlFI/D/wgSebxn5B4ql7UWv+bxvHfI9G1fBT4DeA8SR3kP9Vaf1wp9S5gGriLxNC8X2v9bpL4/h1Kqfdqrf/eTuayo786pdTfBVaBBWC+5acwQLRKvFxfqmJMd3vqo9a0bTsynpMEqTqYnsizvF6nUuuO31hAVRSnhROCUuq7gQeAVwPfRGI8loAfbhwvAt8CfAT4d8B/1lo/AHwf8BuN4wCvAL4LeC3w80qpEeDvA18NDGHFAAAgAElEQVTaqcGBnWev/a/A67TWf77TJxYOnqClcVuvdgZRHOM6Vnf30CNMyrNxLKtLZaKZsXdtocxd54bbjnmeTakSMHGbEkCCcER4iMRQfLmxnQWuAhml1EtISmE+rLX2lVIPAfcopX65MdZj0332Ca21D9xUSi0B7X9YO2SnRue6GJzBp1oPcVqSCIo5j2JuM4nAD2KK2VS/048kifinh99Re3O2pc1Bl9FxNhWnj6LgqSDsEoekhcz/BdBYoYQk3qsfIjE6v9Iy9o1a66XG2LMkajB/FWj1Yxt6+hi2Z6dG538qpX4K+EOg2tzZnJgwGFRq7T10psY7mraFx6MotJNCLkW5w+ikPYfJkUzPuI5tJysjP4yPReq4IGzDI8AvK6X+I4nh+H0Slf7/QuJSSwOfaRn708A/b7Sc+TRwcYvnDtllX7adRlJ/Hngv8AJJPEdiOgOGMYZKPcB1bGp+yOJavTueg3Wk9db6kU25PavGpifyzM6Xe/bQMY1kAkE47mitPwz8HvB54AkSJZjf1lo37+cf1Fo3/0h+FvhmpdTXSBLG/het9VZqqE8CI0qp/2en89lp9po4vwecMIqJTfItfm6xuyjUGINl06ZTdlxIp2wsq1v8c3qywGPPLLJS8hkttrczcJxEdXood7zcjYLQC631Pwf+eY/9b+zYngW+t8e4d3VsX2zZfNlu5rJTwc9f7NhlgArwhNb6T3ZzQWF/aK1V6ZVE4N+myKcxBuIQohATBZjQJ9z/DgE7wrFtsmmX5Wq9LUmiVXG60+ikXJuyKE4LwoGzU1/cy0mCTR8EIuAHSIQ/f1Ap9Rqt9T/bn+kJO6XuRxtRvdmFCqPFdJu+WBDE22ZrGRNDFEIUYKIQE9bBr2GCGiasY9HsRmphWeCzhsmdx3IOP040XExzY2G9zeicGs3gOkn76pfdMdY23nVsStVQFKcF4YDZqdE5DTygtb4OoJR6N/D/kig9fxkQo3PIVGrtmWvnJtuXIYZG7KODuLqOKS1gwjomDLAwGCwwBsu2wXbBdrDShQ3X1eYtOiZeuY4zfn7/frEdks94xB0iA45tc2a8v+I0JFp1Iv4pCAfHThMJxpsGB0BrvdjY5wPioxgAyrUQr+EyWi37XfEcSGIfrZg4Ilq6ignqYLvYmSJWZgg7U8TODiWGxstgOV7P1GI7k8eUljC10v7+cjsgm3Z7JgxMTxSYWywTdVokAGO6Uq0FQdhfdvoV7zml1P8B/EeSL7p/G3hWKfVaEnebcIgEYUQ9CBlKpXhuYQ1oj+eEUUwu7eDY7UYnLi1DFGFlby04Y1kWpLJEy9dwTt+VrIwOiZTn4Lk2URy3/Z7nJvN8/uuG60vVrhYPrmtTqgYMF9KdTycIwj6x07vEj5Pkan8F+AKJjMJPAK8C/sm+zEzYMdV6azuDMpYFZ8c306X9IKbQURRqopB47TpW+vayASw3hQnrxKWF23qevaCYTbVJAQHMnC4AcPVGd9an59qsSzKBIBwoO02ZXqCh09PB+/Z2OsKtsFb2N9oZzC1WmBjOtKVGR7Ehn20P9selxUbc5vZTqK10AbMyh8kOY3mHt2oo5jyW12tJqdvGvhSjxTRXb5T4lpe2j3cdm2otIIxiEf8UThRKqV8CPq61/rRS6v3Af9Baf+kgrr2l0VFK/a7W+geVUo/To/xOa/2KfZuZsCOMMaxVfDIpB2MMswtlXtIh+9LZtM1EAfHaTaxUZ/HorWFZNsZJES9fw568dGjSMknha/e1Z04V+MaLq31lb3xRnBZOHn8J+ASA1vonDvLC2610/s/Gz78P3EHSObRI4lb76j7OS9ghNT8iipK039VSnXItbBf5jGK8RryjSVxawMLak1VOEyuVJa6sQmUVJz+y/Qn7QMpzsOzuItGZ0wW++uwiC6s1Jkfa08YtC6p+RO4YtXsQhFaUUudIJG/yJO0K/gh4EHi/UuoHgH8PvKsx/B2AD1wikT0rkeiuWcCbtdY3bnc+WxodrXVTlfSHSVY6nwUeBv4n8ErgD253AsLt0SrRv9GeujWeE8YM5zfjOSb0idcWbjuW0wsrnSdeuYadyR9K7Y5tWeQzHn4Yta3sZk4nyuxXb5S6jI7X6CQ6PpQ50LkKJ4O/8o//4EeAv7VPT/+fP/xvvv93djDubwN/pLX+V402By8DvgS8S2v9uFKqdexrgZcCiyRCn/9Ya/2gUur/Bv4GSeuD22KnPoVXkXQP/avA72itfxyYud2LC7fPatkn1UiFvrZQxrYtTo9tGp0gbE8iiNfnsSwLy9p7d5LluFgmJl67uefPvVOKOY+gI5lgbChNPuP2TSYoV8Oe6daCcEz4OPBPlFIPA+PAr20x9gmt9Qta6wqJLtv/19h/BRjdi8nsNGXa1lrHSqnvBP5FY9+AiKCcXKI4plQNKGSTt3F2sczp0WxbfMKy2BD5NGEds74AmWLP59sTUgXM2gImN7Ivq6ntyKVdOu2HZVnMnC5y9UZ3PZFtW4SxIQjjY6lLJxwujZXITlYj+4bW+s8aitHfS9LK4Me2GO53bO95t8Odft19Rin1UZK4zieVUv8FiekcOjU/wpjkpmqMYW6h0hbPSSRebFKNeE68ehNsd19WOU2S2p0M0dKLmF4FmftMqk8n0ZnTBVbLPqvlzr8psAyiOC0cW5RS/5JELfq3gZ8h8VztuiXBXrGbOp2Hgb+ktQ5Ieiz87X2blbAjSpWA5qJmca1OPYg6RD4jClk3MUpBDVNehj3KWNsKy01jgsOp3XEdm7TnEIQ7r9exbWlfLRxr/j3wVqXUY8CHgB8BPgb8B6XUtx70ZHZap1MGPtCy/R/2bUbCjlkt+xsB87kNZemWeE5gODWSxHPitRuNVc7BpDNbmQJm5fqh1O4M5T2W1mptGXunR3OkPJurN0q8/I7xtvGea7NeCTi1Jx5rQRgsGn1z3tCx+yPAv248/vaW/RuPW9sXdLY2uB1E6fCIEoQRdT+k2MhMm10o47k2ky1K0gaTaJL5VUx5BTJDt3w9E4fEqzeIl68RL1/DrM1T/5a/ApmzPccntTtuks02cbC1O7mMx/xyrW2fbVucP1Xom0xQqobExtxy6wdBEHaGGJ0jSrUeJVkCDa4tljkzltuQ6W/WqqQ9h3jxBXBSO77xGxNjSksbBiZevka8eh3iRtyjkSCw9MmHSX/HT2Gle7vsrFTuUGp3Mn3jOkU+8efXqNRCcpnNj37zdfGDiEwPJW5BEPaOQ/kLU0q9DXgn4AHv0Vq/t+P4/cD7gSHgU8Df1VqHSqkfBX4FaBYofURr/Y6Dm/ng0Cp9E8eG64tVHlATG8eDMCaf8bCCCnF1DSs73O+pMLV1olYDszwLQWOl4HjYI1O4d7wWe2wae3QaKzuMWb1O7U/fj/+VPyT12h/qa9A2a3cKWM7BfNxSnoNjW13in824zgs311EzHb40Y6gHMRlpJCoI+8qBGx2l1DTwbuABoA48qpT6hNb66y3DPgD8hNb6c0qp/wT8HRKdtweBf6S1/q8HPe9BolX6BuDmSpUwirs6hY4V0kQrc+D2jqlEi1fxv/Q/MJWVZIdlYQ2dxp1+KfZow8AUJ3oqF1gjZxl64LtZ++JHiJ7/Mu6lB3tew3JcCGrEazdwRqdv8zffOcVcinLVx0lvGp3p8TyObXHlRqnL6LiuTbnqtxXSCoKw9xzGSuch4BGt9RKAUuqDwFuBX25sXwCyWuvPNcb/FvBLJEbn1cBdSqn/nSRl+2e11ssHO/3Dpx5sSt9A7/bUxkDG9jH1EnaPVY6JAvwv/z5g8F7+lxMjM3wGy935TbfwsjdQev5J/Mc/hj1xAbs42XtgOo9ZP9janULWZWW9TqbF3rquzdREvme9jtfoJCoIwv5yGEZnCphr2Z4DXrPN8XMtj/818ChJkeqvAW/fzcXHxwu7muzk5D4WUt4Ck5NF5perDI/4DOeTO+r86otk0y53nh/bcHPZbo1JdxlnchTb65Z4Wf3SH2PKS0x890+SnnrJLc/n1Jt+mJsf+rdEX/kQY9/7M31daHHgQrxEZnxyTzXfWml9r/LFDOt+vPEaNVEXRnnkyy+Sy2fapHIAVkp1Rsfyeyb+OUifnUGaC8h8TjKHYXRs2hWrLRIRum2Pa61/oLmzUfD07G4vvrhYIo53JnkyOVlkfr472+mwaM7n8twafhgRB4l8y188t8ils0VWVhPttTCMoVZirbLYWOVU2p4nXr1O7fFP4szcTyU7RWW50uNq2zM6mmOt7uHe/334n/9v3PyzPyL18u/qOz6urmMHV3GGJvqOuVU636vYGFZXq0R+0BZvmhzOEMeGJ75xkzum2rP51isB12ZX9kT8c5A+O4M0Fzj+8xEDtjWHoef+ItCaZ3sGmN3uuFJqWCn1D1v2W+yDRMOg05S+aaoMXJsvU6oGqJnN7DA/CCiGi1hetut8Y2L8r/whpHJbGojd4E7dg3vxAcJnHiW62f97gJXOYVZmk/bY+4xtWRQyXleR6PlTiXuvV+q0RaLyIAjC/nEYRufjwJuUUpNKqRzwFpLqWAC01leAmlLqdY1dfxP4YxKJ7Z9rtMiGRM7hQwc37cGgVfoG4KmrK9iWxV3Tm3GbuFoi64Q94zPhs58nXp4l9Yrv3rN+OgDey/8yVmEC/8u/j6n3XjlZtgO2S7wy1/P4XlPMeV2dRDMplzNjWa7e7I7ruK5FWTqJCsK+cuDuNa31NaXUO0gaCKWA92utv9DQdvvFRve6twO/qZQaAv4c+FWtdaSU+kHgfUqpLPA0iZzDiaJV+gZAX13h4tkimXTjrTQxqcpNvDPdyQNxZYXg649gn74LZ/plezovy02RfvVbqH3yN7dMo7bSOUx1FeNXsVLdK7G9JJtx6eVJnTld5CvfWOhKqU65jrSvFvaU5979ln1tbXDHO35vWzFRpZRFUmryAyTeod9oPH6X1vqTSqmLwCe11heVUqcbx8+ThDX+qdb643s56UOp09FaP0yi5da6780tj79Ke3JBc/+nScTqTiyt0jcLK1UW12q85r5TmwMqq7gmIJVuTx4wxuA/9kdgWaTu/559UQiwR87ivfQhgif+55Zp1NgucWkRZ+xc7+N7RNpzetWIMnO6wBeevMncYoVzk5uJJbZtEcWGIIzwXFGcFo4NbwVeB7ycpDbyM0C/BlL/DvjPWus/VEqdBT6jlLpfa71nQS8pvz5C+EG79M1TV5P6GnW+Ec8xMfHqdTLFbrmb6MXHiW88g/eK78bO7Z86gPuSbya6+czWadSpLHFpCXvo1K5StHc9F8cmnXIIwxjXbS0S3Wzq1mp0IDHO9SAWoyPsCY2VyKG2NiBpTf27Wus6SW3k/UqpT/YZ+xBwj1LqlxvbHnAn8NheTUYawx8hKrWwTfpGX11haiLHUMMI2dUVoiAkl21PEzb1Cv7XPoY9Oo17R9cCck+xLJvUq/4qOB71L/4eJurO9bAsGyyLuFmUuo8Us0kn0VYKWY+xoXTf/jqVurjYhGNFQEtGcMOdZtgUi2pN13SAN2qt79da30/SSfTxvZyMGJ0jxEqpviF9s17xubZQ3qysjyPs8jyxl+lqRuY/8ScQ1Eh90/ftay+dJnZ2iNSrvh+zep3gyUd6jrFSOeK1m5h4f7PF8jmPqEdbn5nTRV64ud7VMTTl2pQrJy4pUjjefAp4i1LKayRvfQxYIWlLDUlH6CaPAD8N0Gj89gSwp/1QxOgcEYwxrKzXNuI5T7+wCmy61uzaSrKqsJ0211B081miq1/Fvft12MOnD2y+7tl7cC89SPiNR4luPtd13LIdiA1xdW1f59FZANpk5lSBaj1ifqVdjdpzbcr1gFjaVwvHBK31h4A/I0nK+iJJ3OZfAD+tlPpzoDWj52eBb1ZKfQ347yTN3/a0qEpiOkeETumbp64uM1ZMMzmSgTjELs/j2xmynrshz29CH/+xP8IqjOOpbzvwOXsv+y6i+efxv/whMm/sVqO2UhnM2g1MbnjfVmAp18axrUYX1U3XZGtTt1Ojm39zSRdWCIJ4o823IBx1GsLIneLI97U8/uXGuFmSttb7hqx0jghJPCd5XPcjLs+to2ZGsCwLu7IMxhDGFvkWyf7gqU9iysukvumvYDm3X2UPyYrLRAGmXib2a1uObaZRm3oZ/yt/2OXKshwvKRTtU9ezF1iWlcR1OtpRjxbTFLJez7hOkkwgRaKCsB+I0TkitKZKP3NtlTg2iQpB5OOU5zFeNhH5bPSDiVfmCJ/5LM6FV+FMXLzl65o4wvhV4to6praGqSUrbaswBibGBFsbnmYadTT3FNHzX+46brlp4rWbtzy/nVDIeQRRh8GzLGZOJ03dOo2h69hSJCoI+4S4144ATemb0ZEcVZJU6XzG5dxkAbt0HWPZGGywYlKejYkj6k2pm5d9546vY0wMYQCRnzSBw2CcFHa2gJUuJMKhbmpDsDM97GKWH4PQ3zL1eas0asvL7HuxaC7tYeiO0cycLvL155dZLfmMFDcz/lKuzXo1oHdPVEEQbgdZ6RwBWqVvwijmGy+ucPf5EezYx64uY7wsUWxIpxxsyyZ89vOYlTlSr3zztjdyE9aJq2uY6hrGr2C5Kazhs7in7sCZvg9v+l6csfM4+VGsVLZNIdpOZXEnL0FQ7Zka3WTbNGrbI15fuK3XaCtSno1r211CrxtxnQ5JHNe1kxha3CPtTRCE20KMzhGgXN2Uvnn++jp+EKNmRrBL82AnNS9BFJFLe8TlZYInP4FzRuFM3bfl85oowEQBzuRFnLMKd/qlOKcu4QxNYGUKO4oDWek89uQlqJe3TH9uS6PWn2o/mMpiysuY0N/2ereCZVkM5VJdcZpTI1kyKaen+CfGUPfF6AjCXiNG5wiwUtqM5+irK3iuzZ2THnZtFeMmKxkTQzblbEjdePe/eUupGxNH4FdxJy5iZ4ewvPQtS+PY2SGsifOY+nriouuDe/YenOmXEj77OYxf3dhvWVZSLFrev358Q/lUl+K0bVucP1XomUwAFjVf6nUEYa8RozPgBGEifeO6NrEx6KsrvGR6mFR1AVxvU6HAgHP9L4hvPov30od6dgttYozB1EpYo9NYmd01teuHkx/DHpnCVLsD8614d78eQp/w8hfbD6RyxGvz+1Ysmkk5PY3qzOkCC6s1yrX2xAHPtbr2CYJw+4jRGXCq9WjDsLxwfZ1SNeCeqSxWvYRxE82+IIzJ2T7RX/wJ9ti5/kKbDUxtHXtoArswtqdztYuT2EOTGxluPceMnMU+/RKCZz7X5k6zbCfRjquu7umcmqQ8B8+xiDrkCZo6bC90rHY8z6YkGWyCsOeI0Rlw1iv+hvTN488uYFlwz3AF425mW/lBzNALn4Kgvq3UjfErSRxm+OyeK01bloU9cgY7P7Kl0oB39xvArxBe+fP281NZ4tUbW7robofhfLorrjM1nsN1LK50GB3HtgnDuMslJwjC7SFGZ4AxxrTV5zzx3CIXT+XIUYdGirIxkFl9Hnv2CVz1BuyhU/2fL/QxgDN+Hsven7fesmzs0XPYmQKm3itWAs7EBezxGcJvPIqJN+MmluNBmBSe7geFnEfU4b1zHJvpiTwv9EomACkSFYQ9RozOANMqfbOwWuPGUoX7Jg2xt9kKI6xVGb3ySCJ1c/cb+j6XiSMIqriTF/e1nQCAZdvY4zPgpjB+b7UB7+7XY6prRC+0C9habpp49ca+zCuTcsHqXa8zt1TpMjCWbVGtSzKBIOwlYnQGmEpt84anryaZXfdOGGhJZc5efRS7vpa41Zzetb7GxJjaOtb4zJ62qN4Ky3FxJi5isHqqFtin78IaPk3w9J+1udMsLw21clt2217huTZpz+1ymc2cLmAMvNhRr5P2HJbX63s+D0E4yYjRGWBWyz6pVPIW6asrnBt1KQ5tGg17dY78ja/gXHoQZ+JC3+cxtRL20Gmc/Oi+z7kVy03hnrqEicOuGhzLspLVTmmBaPap9hOd/SsWHc6nunTYzp0qYFl0pU57rk3dD6n74mIThL1CjM6AEsUx5WqQSLJUfF6cL/PyKQ/sxmomjsg+/TFMukjqpQ/1fR5TL2FnC9gjB9fWoBXLyzRUC2pdSgTO1H1Y+VHCpz/TnmadymLKS/tSLJrPenQIE5D2HM6M5XoWiVqWxXp1f4pWBeEkIkZnQGmVvnn66hIAL7+42YY6/cIX8KqLOC9/M5bXu925CepgO9hj5w+keVs/EtWCi12qBZbt4N31OuKVWeL5zZ47lmWBbROXl/Z8LplGu4LOWqKZ0wWuLZQJO1Kq0ylxsQnCXiJGZ0ApVwOaCWb6+QXGchZnRpM0abuySObq56iNK9Ln7ul5vonCRIF64uKetTW4HfqpFjgz92NlCgRPf6b9BC9HvLbQlt22F7iOTS7dHde5cLpIGBnmFtsTHzzXpupHksUmCHuEGJ0BpSl9U6/WuHyjxj1nM8kKwBhyT/8JxvEw933XRsO2VoyJoV5qJA7sj3LzrbChWlDbjJ1Yjov7km8hnr9MtPTi5n7bAWLiyt4Xiw7nUwRB+0rnfEtTt04sgxSKCsIeIUZnAAnCeEP65tnL14gM3DOVrHJSc4/hrs2ycv7bKAz3lroxtXWskbM4uf5SOIeFXZzESmUT118D9+KD4GUIO1Y7lpclXr2558WiuYxH3PGc+YzHxHCmpw5bJm2ztLZ13yBBEHaGGJ0BpOqHGCwI6+gX1sinLM6PeVBdJXv5U/gjF4jOvIy0150ibWol7NzIlkWih0lTtcCEmzdxy0vj3vEaormn2hq6WY4HUdC2MtoLMikHLKtnXOeFm6Wu/Z7rUPWjrqw3QRB2jxidAWS97OO5FvH6PE/PR9x9Jo0NWI9/FIxheeaNDBe6CzyNXwXXwx6b3nOJm73ESheS5m0t2Wnena8Fx+uK7exHZ1HbtihkPfyuep0iNT/i5nJ3jZC42E4GxsRJin8UJAoeW/SJEm4N6Rw6YDSlb7JWwJVrS9RDuPdsGm/+Kaz5Z6je8R2E6WHymfbkABMFmDjEPXU3lj3Yb2uy2jlLNH95Qx3BSudxLz5A+Nznie/9DuxGTZHlpTcbzO1hYetwPsW1+fKGxBDAzKlmXKfE6bH2a6VTNsvrNcaGemcKCttjTAxxTBzUG8W/BuI46eoax4BJbvImhjhM9sVR8tNELZmPSSsMy0p6SSX/7GS/bQH25r7mcejznDHVcopguZzsh+S5DYDByg7hTF482BfqmHModyel1NuAdwIe8B6t9Xs7jt8PvB8YAj4F/F2tdaiUmgE+AJwCNPB2rfXe+l4Omab0jRvc5Kl5g+fAnaMh2a88ghmZpnT6lWQdF8/dvFkmiQNl3NMvSSr6jwBWppAYlCjYyK5z7/oWwue+QPjMo6Re+T2bgx2XeH0BZ3xmz66fTbuYjsXgcCHFUM7j6o11Xn1vu3sy5TmslX38ICLVYqhOKsbEDePQuImbODEKJsaEIcR+o/V5uLFyII6xLKiV80QrleT13/BkmsSW0GJAWg2KZYHlwMY5psUImY19bLhGW/Zt0Pqczee1k15SqbirrMCEfmKohD3lwI2OUmoaeDfwAFAHHlVKfUJr/fWWYR8AfkJr/Tml1H8C/g7wPuDXgV/XWv83pdQvAL8A/G8H+xvsL5VaiB1UMNV1nroR8ZJTaYae/1OssI55xffiV+HMUMcqp7aOPTq1Z71xDgLLsrGGzhAvXd0wOnZ2GGfmlYTPfwVP/aXN38drdBYdPo3l7o1RTaccHAviONG2S+ZkMXO6yJUbSU+gThelZSU9do6T0TGhD6G/YURM3DQkYdvKwMThpmGJIzAGCxqrCIMx1oaundW4mW/8sx0sx9u4qTu5HFbdYVAcwJbtHGod20njMF7ph4BHtNZLWusy8EHgrc2DSqkLQFZr/bnGrt8C/rpSygO+rTF+Y/9BTfqgWC3VyfrzzJZd1mox3zo8R+rm16mffw2mMIlFkn3VxNQbiQPFycOb9C1iZ4fA9tr85t5dr4M4JHj2cxv7NotF966zqN1oYd2ZHDBzusB6JWCl1K1CkPZsltaOdqGoMTGmXiZavUE4p4lmnyKcf45o4QrRwlXM8jXM2nVMaTFpyOdXMFHjtbAdLC+DlS4kdVfZIaxMESszhJ0tYmeGsDNDScwulUvGuiks25WburDBYbjXpoC5lu054DXbHD8HTABrWuuwY/+xoR5EVNZWGI5rPHnTJmMF3Lfyp0S5MWoz34zxY/JZF6dRNWqCGjgu9uhgJw70w7Jt7OFTxEvXsLKJ2oJdnMCZuo/wuS/i3f36TbWFVJ54bR67ML5nxa7FnMdKqU6mZfHUbOp25fo6o8X2VVXKc1gv+wRh1ObeHHRMGBBX1zCVlaTPkYmxsMFLJ4bjsCconCgOw+jYdDlaiXdwvHM/HeftiPHx3bmgJieLu73ELbFW9nnxyjwT9iqZsTGe/uw8bxt/HMdfxzzwYwwNFylVAmamRijkUpgoJKoHZM/di50+vALQ2319zHiOKmvYXmpDJdt/8CHm//DreHNfpfjK79gYG1XBYZXUxMWeRna3cykOZVnzY4bzm8ZleDhHLu1yY6XG6Ei+6xzbc0nn0owPb/+aH9RnpxNjDMavEdVKhOtLVK6UKRiwMx5WcWLfeiltPaeYuFYhrqzh31ygkMpgpzJYqUzD9Xa4pm90tDtJJQ5dsB2yh/Q+HlcOw+i8CLQ2fjkDzHYcP9vj+E1gWCnlaK2jxpjW83bE4mKJuFPxsQ/j4wUWFtb39Q/CGMP8Spmb1+YoBovg2MyuxWTLs7xi6An8qW+i6k1gVqu4aZd6zcevBZjqKvbERSprIdC/PfR+MjlZZH7+9q8dmSLxjdnE3QbgjGGfupO1Jz5FMP2qlpWNTbx8Dbvm4uRHbnsuxhhK6zWCur+xeoREdfobLyyzvNLdTM4PIp55fpF4akKrGSsAACAASURBVOvC2716bXaKiSPwq8TVNeLKClYcYgDLzTA2OcLycgV8gL0tcjUmBr+Kqa0n/6qNn7XS5r7GNv2KfK3GqstNg5dJAvtuJtnnNX66yX7cNLipJOvRTSXntG7fghtvdDSXvD6dv1voY9k2pdTu3sfD+rJxVDgMo/Nx4F1KqUmgDLwF+MnmQa31FaVUTSn1Oq31nwF/E/hjrXWglPo08EPAw8CPAH+8nxO9uVLl8rU1pifzZNN7/1KFUczs7DzVG1cZdkJI5zC2g35+jb+Re5QoVaR6MbHP9TBiYjyPbVnEtTXsoVNdN96jip0fIV65jomjhvxN0uSt/pnfJrzyFbw7Nr2vVipPvPwidjp3283oLMtiOJ9ireKTTW/erGZOF3j6hRVKlYBCrt2V57k2pWpAEMZ47mDEKUytRLj4AkRBEhT3Mlh2bk/dZsYYTHWVeOlF4uVrxMuzmMpyf2PiZZMMxWwRuzCBlS024j8FCkN5SitriSpFUMOEjZ9BPXEZh3XiyjIE9caxOt1Ojj44XosRSrcYIwfszgQHG8uyWcmk8IOYJOW65TjgXnglR8eRejQ4cKOjtb6mlHoH8AkgBbxfa/0FpdRHgV/UWn8JeDvwm0qpIeDPgV9tnP7TwG8rpd4JXAV+eD/nGscx61Wfb7wYMDmSZXIki+vszY2mUqkye/l5rPIiuVwO3E13zcj1L3LWXaV091/baEsdRYahfIrayipWKo89fGZP5jEIWLabxHZWb2Blkm+J9sRF7NFzhN94FPfiAxvGyHJcCK1kxdPHzbYbirkUSx0q0jNNHbab69x3cax9rpaFMVCu+owUD7dmx0Qh8doNzNp8ErjfQ50941cbxuUaUeMnzTbitoM9fAZ74lKbMUl+Nh5vEXfLjuaoFXt3lO05F2OSDLuw1vjZyLgL6z23u47VK4nsUTPF22z+M3FMbBniKOo+Dkm92MUHbuu1FNo5lDodrfXDJKuV1n1vbnn8VdqTC5r7rwDfvt/zayXt2WTTLourNZbX60xN5BnOp275ZmdMzOrNG8xfuYzrWLjF4c3iNaD6/7f33nF2XNed5/dWeDl0DuhGDhcgCRJglESKQSQVKImSFWxLGksOkkcr++P9zDrNzkreGc+uPTv+eDy71siejy2ttKv10KaskSkxWBRFSlRgJgACIC9BECBSA53Dy6+q7v5Rr4HOAejX6G7c74fN7lfx4la9OnXPPed3Bs9xi97Pydh20k1bgDCs17YFUSugKDRO8/rL4pevJ1ayiWDkHFqH+RJCCBx5G5VnHsA/dRBnw3XntxXRJEFxBPKD2KnmSzpvPGpPk73pbE7gOhYnzuWmGR0YL3dweY1OUBrDHziJCAKIZy/J+Gq/SjByrmZkThEMnkZPKCsh0i3Y7duwGruxG7sQ2bZlTUAWQtRcbfXJQZvNvRZUy1i2GecsNSs7dX2FIIQglXDx/IATZ8dIxl3WtSze5eYX8/SfOMrw0AixVBrLmbK/Doi//n1K2qW07S7GPcPlqk9D0kVXijjNGy/ZrbQSEbaDlWlFj/ZDLT/H7tiByLRRff0n2Ot3T/LXi2iKYOgMVjR1SQ8j17GJuDaeH5wfxdqWRVdrckbxT+B8Yb3L4WLTvkcw3EOQH0BEkojIxUXy6UoR7+QB/JMHCIZ7zr/Zi1gKq7Eba+NerKYurIZ1s9ZrWutc7uCGtYoxOnOgq2WsSg6cBNgujm2RSUUolT2OnBqmrSFOywJcbtqvUhnsoffUKQq+QzzbyEz3c/T0S8Qr5/i2907uarowGRkEkKRMpHUzherSScGsNKxkE95oXxjSK0J/u7vjNiovfBu/53WcdRdqBwnLBsvBHzyF3bb5ks7bkIwwOFaadB03tKV4+kAP5YpPNDL5bXf8YZQvVWlILZ8CRFAYwR86hdABIrb40Y3WmmDwJN6xF/HPHALfQ2Q7cLa9HaupG6ux60Iwh8FQJ4zRmQOdHyIydBynGEUg0E6EwI0TdxPEHJf+AY/B0RJdrSkyM7jctA4I8kMUe09ybrCIdhMk4tO73CoOEXvzR0QG3uBwtYtK267zx/J9TVSXiDZ04mTboH9Nqf5MQjgRrFQLOj8A0dpop+tqxOEf4r3+NHannNTHIhIPo7XGBqHt4ss4pBIReocni3xuaE+jdQ8nesfY3j09YCPqhhVFl8PoaL8ajm5yg4hoctF5Sn4pT/WNZ/COv4Qe6wMngrNhD86m67Ea1tWp1dMZVz0IvEooixPq3jBJS82w5jFGZx4CJ4KOpkK/v/axyjkojiDQNABBHnoGXYbTadramokl4mBHwCvjD55mdHiU3rwgEksSmeKKEdUisbd+TqRnHwibt5pu4WtvbOVfXHfBnVEtFWjKxLFXuHL0UmGlm/HHei/M7Vg2zvZbqe5/mKD/OHbr5FGNiCbRw6cJyhcfWBGLTPfbb2hLEYvYHHxzcEajE3EtcoXqJLfcUqO1JiiMEAydQgBiEXM3WmuCgbfwjr3I2Z5XwfewGrtw996P3X31ksgJhd+JC9pr4xPxmgC0qNkUDVqEop5ChK5hyw4DMoIJ0js6qM2t1aR0NFwwSuFiXZPZCQ8VyuuE0Wb2+Ug0w8rHGJ1Z0FozODZBCkUIEA66NoE6PvUstCYZeFTGBjk53EtDMkI2FQWtGSgEjJRskgmXSd+HwCN6Zh/REz9HeBUqHbspbbqV7+/3cCOVsHYOhJpXvkeya9uKV45eKoQTQaSa0YURiIbJmc7GPVRfe4rqaz+aFrEmLBvtRCmfO46OrruoAAvHDoNFJs7ROI7F1Zub2P/GAPfN5mIToVZeJrn0c2zaq4Sjm8IQIpI6nzg7737lPN6JfeGoJjcAbpTkjpvxO6+95IhHrYPzEWFCgEYgbCccednRMFzZjoRzleN6ZpZz3jCMX5t4a3rW3JdwNFQzPnriT6hCTVArPeB54JXBr6C9KrpcRKMn2ihA1K7T9HDpK+EFbqVyZTzJLoJjPWP8b988ws52mw/uDUjFZnmYCQG2SyTpogMYqniMjoBt21QqkIw7F+ZvtMbtf53YsR9jl0aoNm6iuOUOxpxmHtk/xsHTZW7eHMe2wrLUfnEMp3kDscT0zPi1jJVuxc8NnBfdFLaLK2+neuBR/JMHJkWyAQg3RlApElR6sS/ywZpNhi62iYEB121r5kXVx+Hjg+zdMV3bznUEQ2OlJTU6k0Y3QmDF58/F0loT9B3DO/4i/plXQQdYTetxr38ndtdVNIwnhy66LTUj41cRWqMtK9RWy7ZjReJhHswSP7xDsdB5tpmtveNipLWfacbJ984rR2s0oiZS6hc8glKhNoK6oD6NDsBaHartqwljdGZhU2eaD9/YxHdfHOTLTwzw3t0prlsfm/NLJixIxBw8X6O1njR/Y4/2EH/zKZzR0/iJZnLXfBSvaTOHTpd4eP8Aparmrp1J3rkjDBQQlTwFt5HOtpVZAbSeCDeKSDaiizmIhv3hbLkJ/9QrVA48ht2+FRGdLGdkx9Pos73oeOai6u4k4y7B4OR5na6WJC3ZGPveGJjR6ERdm9EldLFpr0IwdIagMIKIJRc0ug1G+6js+x7BwFvgxnC23BzO1VxE5djz+TB+GaFBC4EVSyEybaGRcaMr2oUVBpdcGJHOapymuAWjTQnsyMh5zwK+B0EVPO/8/WdYOozRmQXdd4y7jv2f3NYS45TfzBuvNvDzE23s3rWRdFPTpNyaqTi2YPyWF6UR4seeJtL3GoGboLD9Xiodu8mV4eHnRjh8psy6BofP7M3Qng0vh6gW0W4cL9JKKr72wqMXgpVuxc8PXRjtCIvI3g9RevKvqex/lOjNkwXGhRVKqfgDJ7Hbt51PJl0osYgduowmlDQQQnDdtmaeePE0A6MlmqcUcBtPFL1UF9t4wEkwdAYhLKzE/EER2qtQVU/jHfkpOBHcPe/H2bBn0UEGOvBCGZtQNCcMQc+0YEUSK97IXCwXXG7hPWLHklixRcs4Gi4SY3RmwWrZgL33QxTfOsz60hAbOYwVHIRD4AkXnW4jSLXjp9rwUm0EieZJb1l4ZWInnyV66kUQgtL6t1FafzPadnnlVJlHDoxR8TX3XJXkHdsSoUsNwA9LIufjHWTjsRUjtbLciEgcEW9AVwpQy7S3Mq24O++geviHeGd2TwqhBsLS1sVRgpFe7MbOmQ47K7ZlkajN60ysl3Pt1mZ++NJp9r8xwLuu75q2X8S9NBebrhTxh06jy/mwJMACjKV/7giVfQ+jC8PY668jsvveaSO/ec+rNZTzaEtgZTuxYwlwYmsu6diw8jBGZxaE5WBvfzujop1oMg2BR2Ggl1fVCSKFPrboITpzB4jWKgtqYeMnW/BTbehIkkjPfqxqkUrbVRQ33YaOZRgr+Xz3hRHU2QrdjQ4fvj5Da3rCJfCrCK+I37iFatVh3RVeGtnKtuL3HDlvdACc7bfinTpEdf/3sFs2TpN+EbEUerQXHU8vuqhdNhXh7EBhktFJJyJs7cpy4I1+7tyz7nzBt3Eu1sWmg4BgrA89cg5sFys+/+gmKI5SfeUx/NOHEalmord9Zlo034LOXS1BtYzItGBn2hccpGAwLAXmblsolkOidR3Xt3Ry4GSJv3wlR9X3uW+rx80to7j5PuxcL27/G1heES/bTX7LnfjpDrTW7D9R5NFXcni+5t1Xp3j7tjjWhNrtVrWEdiL4jZsJ3DjC80jGruzLIyIJRDyNrpbOZ8ULyyZ6/YcoPfU3VA4+TvT6+yfvIyx0JI43cBKnc/uiov4SUXeaJA7Anm3NfOupEY6dHWXrFHVpEYZxUSh7ZBILG+3och5/8BTaK4c6ZfO4sLQO8N58nurhJyDwcXfdhbP91kUbCx144YgqksDu3H5Rc18Gw6VyZT/VLgIhBNdtiLO1Lcojr4zx0JEyz57r4EN7t9O1xQ3L+HoltBMDIRgp+nx33xhHzlXY0Ozyob1pWlK1btcBolIAy8bLdKJjWRAWpbJHQyo6SW7/SsXKtuOdOzJJisVqXIez/R14R36K330NdtuWSfsIJwKlHMFQD3bz+gWfKxa1QYhppap3dDcQi9jsf2NgmtGBMIpteKw8r9HRgRfqy431gxvDis2f/e8Pnaa673sEwz1YbVuJXHcf1iL15rTW6PIYGhEqDyQb1+RcjWF1YIzORZKKWfziTVle6y7zvf1j/M2Phnj7tgR37UwSceNorXnpeJF/Ppgj0Jr37U5x85ba6EZrRLWAAPxUG0G8cdJ8UNXTNKRNqCYAkQQimkJXy5M01txdd+KfeZXKyw8Ru/sLwJS39mgy1CeLZxY0MQ9hCet03KVcnZyX4zgWu7c08fKRfkplj9gUzb1oxGYkX8EPgllfFEIJm9MQ+KES83yjm2opnLt68zmIpojc9LFQnWGx0jfVMkGhgkg2YWfalqzq6mohCDRVLyDQGssS2JbAssQFL4Nh2TFGZx7mq+KxszPKxmaXxw/l+NkbBV7rKXP3VUleOl7kaF+VTS3h6KYp6dSMTRECnyDRFAYfTHkI+EGAYwsSV7hrbRwhBHa2A6/36CSjI2yXyPX3U37661QP/xDu+Mi0/YgkQ62yaGLBD9tMMsLpvvy0ZNDrtrXw/Gt9HDo+xA1ycvi0qI2OCiWP9JTRjvYqBCNnL0jYzOPS0lrjnz5E9ZXH0KUczpabca9616JFN3Xgoyt5hBsj2r0Te2xtR2d5fkDVC6j6AZWKT7HsUaz4lKs+EMaS6gsp3QjClwnXFoxWfMZGiji2hetY2LaFJcC2BK5jrarS5KsB82Sbg2QyjvB9KrkRohEHbbtgudPCpeMRi/v3ZtjdHeOhfWM8+PwoEVvw/mtT3Li5Nrrxygi/QhDNEqRawwqIM1Aq+zRnY+ZNbCLRJCISDzPhJyhs2y2bcDbfiHf0GSq7bgB3ijGw3bAg2PAZrKYNCxolzGbsO5sTtDbE2P9G/zSjA2Fxt+Fc+bzR0Vrj5wfDMGgWJmET5Aep7H+E4NwbiGwH0bd9ArtxesTcXGitoZJHQyjgmWzEjiVh7PJUl11KtNZ4vj5vXEplj0LZo1j28H19PjFHiDBtwbUt0omZXza01gSBJtBQLHmMFioEWnNeEIHQSKUTETZ3GhHUpcQYnTlo7Oxi/bVRes4NMDKaI00Jq1q4cFda44YofBPa3Brhf7irif0nS2xri9CYtMGvYnlFtJvEz3ah3bnfdH0N2aRxrU1ECIGV7cDvOzatrIN79T34Z19n6Cffwr39c9Mm10U0RZAbBt+HZFOY7DjHBHzUtbGs0C0zMVJNCMGebS08/sIp+oeLtDRMjpqLRWxGchU6mypY1RLlM+cIBs6Go5t5ghm01vgn9lE5EBbCda99L87mmxada6S9MlRKiFQTdrZ9zZTAKFd8RgplBkdKVL2AWkIVVs2wxCL2tKjC+RBCYNsCG4hFnBnLlFQ9nyBY2yPEy4ExOvMQjUXZuKGTgdESPf15XAditkZ4ZUQlh1XOhy4zwgzuiO1y06bYeXFQ7UTwGjahI8k5E0r9ICBf9IhH3RkFKK90RCyFcGPTRjvCjRHZ8wHKP/87eP1pIrvumr5vPIP2KujBEwTjCZDp5tDtNsUgCCHIJCPki9Vpcze7tzTzgxdPsf/oAHff0H1hhV/FqhaxR/opHtfEoja6ObugMGhdLlDZ9138M69itWwkcsMvYCUWV4ZcB34YleZGsTu2IaKrXzap6vmMFaoMjJYolT2EEMSi9rRrYlh9mCu4AIQQtGTjpOIuJ3tzjJY90ok0IpYhgDC/xq8gqkVEJYeoFkBYkyLSZiMINPmih2UJ1rUkaUwvvZ7VWkAIC6uhc8bRjt2xg/jW6ymqp3HW7ZombDmx8qTWGu2VCfqOgwAr3oBINtRGJKGxzyQiDI+ViU0ZcKYSLtu6shw4OsBd17Zie0Ws4jBWtYAGItpizE+SiCVD2Zj83Hpnfu9RKi9+B13O4159D872dyw6qkxXiqHRa1iHlWpa1cmdnh9QKHkMjJTIFSsgBLGIRboOgqqGy4cxOosgFnHYui5L73CBc0NF4pGw6iS2i7bdcDSTbDlfhXEuY6N1aGwA2pviNGVidZPIXyuIWLoWyVaaNrGeveWDFE++RuWlh4je8RuzuqZCAxQLR006QJfzBMVhwMJKZLCSTURnq0Tqldm7IcY/nBrhLfU621vtsMZSbRTrBpArVmmdIddnItqvUj30BN7RZxCpFmJv/8Si69qcz7mJprDbttStlHO9CWoBGENjJYZzFbQOS8SnEq55+VqjGKOzSCxL0NGUJJOIcKI3x1i+SirhTP6CzGNsiiUfXwe0ZuM0Z+NXrNTNYhFCYDd24p89gp6icGzHkkSuu4/K89/CO/os7vZ3LOB4FkTiCOKhASrl8fLD2EIQLdoEdhbbdhCVPFZpGLwyOzOChCt4uQe2dU9WPBBWON1XqviznjMYOUf5hX9Ej/bibLkJ9+p7Fz33oit5dBDUcm6aVt3DeTzSbzRfZnC0hBeEuU6puLPq/i2GxWOMzkWSiIWulnODBfpHSiRjDs4cxkNrTbHs4/kBzZkYrQ3xSXIrhoUhIglEsgldGoXI5LkLu+tq7JOvUD38Q+xOuagkyqkGKGMNUegfwnZrCaNOFKJpbGD3es2Lx4sUKwHxyORrbtuCsUJl2vG1DvCOPkv10A/AjRF9+yexO3Ys6t+u/Sq6ksdKNGI3dK7KQIF8qUrvsQHO9o5h24J41Fl0EIBhdWOMziXg2BZdrSnSCZeTfXkq1WDGctTFskfVC8imorQ3xolFTLdfCla2raZAHUyaAxFC4O55P/4T/4XKyw8Rve0zF5V5L4RFIp1huGzjzjBxvXdDjGffLPLK6RI3b54cjRhxbHLFCn5wwcUWFEepvPQdgt43sTt2ELn+/kUJdIZh0Dm0sLBaNmPFM6tuROD5Ab1DRfqGi3S2ZepT+E5rRvMV+kdKDIyWwt8jJYbGyuG9YVs4jgjzcWyrlqdjkUxECHwfZ8Iyx7awLdi1sXHJ23mlY55+S0AmGWVH1OVMf57hXIlU3MW2LcoVn1LFJ5OMsKkjMWNYpmHxCCeKyLYRjPYhYulJ66x4hsg176by8nfxj7+Es/nGizpH1LVmrcfSkXVozzjsOzHd6AgLggBKlXC+zjt9mMrL34XAI7LnA9ibbliUwdBeBSoFRKo5HN2sQnHO0XyZU315gkCTSbpEIzaFxdeUO0+l6jMwWmZgpET/SLH2d5H+kTKefyHEOeraNGejdLeGBr7qB3i1HJ9ixcMraKp+QBDkKFdDL4TnT5+Pu2ZLy8U31jCN1XcHr1Bcx2JDe4pM0uV0Xx4/8EjFXbZ1p0jGrizpkeXASrUQ5AbQgTct7NneeD3WyVeoHHwcq2P7gkKXp+LYNq5j4wf6QtmJGkII9myI8c8Hc/SOerRlppzfFowOjyEOPoZ/Yh9WwzoiN34EK73wh1c4x5QD28Vp37ZoxeyVQNXz6RkoMDRWJhFzLnruslTxeOXNQdSJYfpHSozmJ7svG1IRWrIxNnakacnGac5EacnGa1V75zfwjQ1JhobzwIUEVM8PKFemK0wYLh1jdJYQIQSN6RiJmEvVC0jGzMRovRC2g5XtIBg8jYhPzhgXQhDZez+lH36Fyr6Hib7tExd1HVIJh+F8mfgM7tBr18d4/FCOfSdKvPuayQYhUThLdd+j2KURHPlO3J13LirRU1fLUC1hZduwMm2LThK93GitGcmVOd0f6gtmkhcXidYzkOdF1ccrbw5S9QJaG2JsbE/RnI3Rko3RnI3RlF7amlNCCFwnlL8JizEalhpjdOpA1LWJmiCBumMlGtFjfaELaorgp5Vqwt31LqoHv49/6iDO+t2LPn4i5jI4Wp5xXSpqsaM9wv6TJe6+KoltCeyRU8ROPIM7dJwglmV49y/SsXXngh+446MbEYmt2tID5arPmf4wqjMZd7AXmQZQ9XwOHhviRdXLmf4Cjh2Krd4gW1nXsvqTXg3G6BhWMcKysBrW4fcdA6Zn8Tvb3oZ/+hCV/Q+jC0PYG65blKst5oZ5WLMVaNuzIc5rZ4fpP3aErWMv4YyeInDjFDe9k6h8O/nBCkNjJZoz8RmOPhntV6FSwMq2Y6XbVl2SZ6A1g6MlevoLOI4gk1qcW6pvuMiLqo/9bwxQrvq0NsR47y3ruXZLs1EhWGMs+9WUUm4Avgm0AQr4lFIqN2WbCPBV4EagCHxSKfWalNIFBoA3J2x+g1Jq9sQIw5pmPGE0qBSnrxMWkRs/QuWlh6ge/iHVw09itW/F2bgXu0POOykvhKApE+XcQAEnPsUIaM3V7lv8fvandJ8eIIikKWx9F5WO3WC7RJ0oiVjAwGiZZMydM2JR1wQ6nbatq3Luplj2ON2Xo1D2ScUXHgLt+QGvvTXEC6qPE+dy2JZg16ZGbpCtbGhLGdf0GuVyvEJ8BfiKUuoBKeWXgC8Bfzhlm98B8kqpXVLK24GvA28DrgV+rpR6z3I22LByGU8Y1cVTaD197sBKNRO7/dcIcgN4J/bhn9hP5bkHwY3jrN+Ns3EvVkPnrMdPxlwsW1wQANUBbp8iduIZ7MIAws3w97m3886bbyYxJWBEiDAK7uxggfVtqWm1dsbdaVYshd3UveryboJA0z9S5OxggYhrkUkuLGCmf6TIky+cYt+Rfgplj8Z0lLtv6GLP9hYTdHMFsKxGpzZSuR34cG3R14EfMd3ovB/4IwCl1I+llK21EdJNQKuU8gXAA/5QKfWj5Wi7YeUiIglspxlyZ6cljI5jpZqJXHU3etddBL1v4r31Mt7xF/HefA6R7cDZuAen+1pEdMrckBA0paP0D+ZpGFVETz6HXRrGTzST3/l+Tke28LOnRmg4U+WWLdMfmK5jUSiGemJtjReOPR4KbTV0YmVaV10lz3ypyqnePOVqGKW5kNFNoVTlsWdPcvDYIEKAXN/ADbKVLetWX96R4eJZ7pFOCzCqlPJqn3uA7hm2W1dbx5TtNPAd4E+Ba4BHpZTXKKX6F9qA5ubFuS9aW9Pzb7SMmPbMTFCNkMkNYsdi88+HNF0LO68lKBcoHN1H4cjzVA88RvXg48Q2XEVy+01Eu3YgLIvAq2CfPoRz8Cms8hg620lw9b2IdklcCHYAXU1FDpyqcO91kxUQMulwLied0owVqrhRh1Qigl/Mg3CJduzBji9P/y3VdfL8gJ7+HP1jFRobEtOK3c3GoTcH+PsfKAolj3tuWs+t13XRkKqPXpzWmooXUKn6BBOSdCcmXolaWTcI84gs1zm/TBOucm2bdDKyYu7xtULdjI6U8uPAX0xZfITpxThnKlhhTdlOAIFS6r9OWPaylPJZ4FbgnxbaroGB3OQbcQ5aW9P09a2c4lemPbPT2ppmTKcJzvVhxRbxkOjcg9u5B3vkLN5b+yidPEDp+CuIWBqrfTv+WQXlPLphPQOb7sVu2xz6zXKl84e4tivCo6/kOHJqjPZs+JXKpOOMjl2YZ/J8jTrWx/qMwE1lsBq7yeeAXP37b6mu08Qkz2TcoeD78yZ5lis+//z8SfYd6ae9Mc4n7tnOri2tDA3nGRr25t55gfh+QMULEz+1CE1HIuqQTrok4i5RN6wGqrVG61oBt9pvraGpOUVf39i09X4Q4Opg0X1njNTc1M3oKKUeBB6cuGw8EEBKadcm/zuBMzPsfqq27mjtcwdwRkr5K8DPlFLjywVQrUf7DauPuRJG590320Hk2vfiXnMPfs/reG+9jH/iZazWLbjydoKGbspnx4jX3ocnsrs7xvcP5nj5RJH37p75gePgEZTz9AVddDVvWFW5Nxeb5HmsZ5SHfnKc0UKFW3d3cMeedZespD4+iqlWg9pbqcZ1bDKJCKm4S8S1iUbsmSvvzuLCS8VdinEzl7RcLKt7TSlVlVI+DfwS8HfAp4FHZ9j0kdq6n0gpbwNKSqkTUsrrG96HDQAAF3xJREFUgLcDX5BSSmAv8PTytN6w0pkrYXTBx7AcnK6rcLqumqTtZgOZZIRcqTItEi0ZtdjREeXAqRL3Xp2armBQKYAQ2O1bGai6pAseDamVb3S01gzlyvQsMsmz6vk88eJpnnu1l6ZMlF9730662y4tKq9U8ahUA2xLkIi5NGdixKMOUdc2JUFWGZcjeu0LwDeklF8ETgCfAJBSfh5Yp5T6I+Avgf8qpTwElIFfqe37x8DXpJQHCd1vn1ZKrQz/jmFFMDFh9FKjwaZO7mdTEUby0xWkIRQBfbWnzBvnKsjO2lyFDrAqeYJoGj/dCbZL2gk43ZcnEXVWtMp4ueJzuj/HWLFKKrbwJM9TvTn+6SfHGBgtc/OuNu6+oQvXubh/p9aaUsWn6gWk4xHWt8VJRI3Kx2pn2Y2OUuot4M4Zlv/1hL9LwGdm2GYU+Fg922dY3UxMGF3qEOSo65CIOlSq/jSDsa09QjIqePlEKTQ6XgVRyeOnOwjiTeddO7ZtIUTA6f4cmzpWXtRWoDWDIyV6BvM4tkV2gWrQvh/wo/1n+OkrZ8kkIvzKe3awufPiRpthGRAPz9dkk1Fa2+MkYiZBdK1grqRhzTFXhdFLpTET43RfjsiUKQDbEly3PsYzR4sUxsbIRNP4jZvRM0jZJGIOo/kKg2NlmjNL275LoVj2ONWXo1j2FxwGDXBusMB3nj7GuaEie7Y18+6b119U+Y7xAodeENCYjtLaYMqArEXMFTWsOeaqMHqpxCPhRHXVC6ZNqO/tFPzsDdjfH6Pj6u3oWXTbIJy8PtOfIxlzLvuD1Q8C+oaK9A4ViUbsBSd5BoHmZwfP8tS+M8QjNr909zbk+ulyRAs5TqHkoTU014Q8jXbh2sUYHcOa5HyF0eIoRJdOKFLUkkV7BgoXjI5fxfJKtDWn6WzS7DtZ4j2WQzgdOTOWFRYVO9WbZ8u6zGWpnhloTa5Y5Ux/Ppw3WYQa9MBIie/85Bin+/JctamR+962YZoiw3z4QUCh6CMEtDTEaM7ELnr+x7B6MEbHsGaZrcLopZKIuTi2wPd9HK8Elo3XsAEdSbFnex+PPnuC0705EpG5H+CxqMNovkr/SHGSWkG9CQLNaKHCucEi5apHPGoTSyzcYBw6NshDPz2ObQk+cvsWrt7cuKjRpOcHjOYrWELQ3hynKR0zEWhXEMboGNYsc1UYvaTjAk2xgP7hPFbzOoJ4I9Tybq7Z0sT3nz/J48+f4P53bJj3YZyKO5wdKJCKR+o+We4HASO5CucGC3i+Jha1F1U22g8CfvDCKZ493Et3W5KP3bF10WWniyUPJ+LR1Zoim4wYY3MFYoyOYU1jpVoIxvrR1RI4kUse8WgvLLCWbGigR3TixOOTXGPxqMPt13Xy5MtnyCYc7tzbNXf7LEEsanOyN8e27sw0UdClwPMD+keK9A4W8AJNIuYQjy3uPGOFCt966k1O9ua4eVcb997YvahaOVprxgoeqbjD1VuaGRm+hHrVhlWNMTqGNY2wHezmjeixfoJKHoIALUBgge2C4y7IEOnAR5fzCDeK3bYVJ5ai1S3QO1QkNcU1ddu1neTLPj/e30NjOsp12+YuUx1xbcYKVXqHinQ2L938U9ULGBorcXKwwPBQgUTMIXERI4sT58b41lNvUq76fOT2zVyzpXn+nSbgeQH5kkd7U5y2xsSKzk8y1B9jdAxrHiuehngaS2vwq+BVCColKI8RlAuhIaKWSmO7YLvnZWq01lDJoRFYTV1YycbzRqoxHeXcYBGt9SQ3mhCCj9+9g96hAt/92VtkkxE2zZOzkoo79A4XSdfkXC6FStVncLRE/0ioD7euI4ufXLzOmdaa517t5fHnT9GQjvAv3r2Dtsb5C9JNpFj2CALYsi5DOrG6SjcY6oMxOoYrBiEEOBFwItixFNAy2RBVS1DOE5TzEHihIdIakWrGzrYj7MnGwHVsmrMxhnKlaXVgHNviF+/cytceeY1/ePIov37fTloaZn9gCyFIRG3eOjtGOhEGKtiWhetY2JZAWALbElhCYJ3/HZZeGDd45YrPwGiJgdEiFhaJWFhQbaosz0KoVH2++9PjHDo+hFzfwIfeuWlRod2hO61KMuayvi1lRjeG8xijY7iimWaI0i3Y1MpHexUQFiIyu7FoykTpH5k+2oEwOu2T92znqw+/yt/94Ai/8f5dJOcYxbiOjRBBODrQmkBrdABac0GWX+twSFb7rTU4tsCxLUoVD9sWpOILD32eif6REg8++Qb9IyXedX0Xt+7uWHR0Wr7o0dYYp70xcVnCwQ0rF2N0DIYZEDU323zEIg6ZZIRi2SMenf51akhH+eW7t/GNx17ngR++waffI+dUaXZsi8WkqozL8Qdak05cmrEBeO2tIb7zk2M4lsWn7t3BlnWLk7Iplj18X7OpI022TvVyDKsbE69oMFwibQ1xqt5MZaFCulpTfOT2zZzuy/Odp4+F80RLhKi52xzbuiSDEwSaH7xwin948igt2Rif++CuRRkcrTVj+QqObbG9u8EYHMOsGKNjMFwi8egFIdDZ2LmxkXtv6ubVt4b4wYunlrF185MvVvnm91/nZwfPcsOOVn71fTsXZTR8P2A0X6UpE2PLusyCq4karkyMe81guESEELQ1JTjeMzrnhPnbrmpnaKzMzw+eoykd4wbZuoytnJlTvTkefOooxbLH/bduYs/2ucO7p1KqeFQ9zcaOdN3KTxvWFsboGAxLQCruEnEsPC/AmWXORgjBe2/ewHCuwiPPhKHU27qzy9zSkJFcmZ8cOMvLR/rJJF1+7b5ddDYvXIpHa02u4BGN2GzvTl120VLD6sG41wyGJcCqjXYK5bnzYSxL8LE7ttDeGOdbTx3l7ODyZuaP5kOD9+VvH+TlN/q5XrbwuQ9etWiDM5av0piOsLUrYwyOYVGYu8VgWCKyyQg9lsAPZg8qgFCB4JfvDkOp/1stlHqxGmaLZaxQ4aevnOVF1YfWsHd7C7dd27HoCf8gCPNv2hvjtDclVlwROsPKxxgdg2GJsC2L1sY45waK826bSUb4xD3b+fojr/HAE0f4zPt21qWGTL5Y5ccHjvKT/afxA82ebS3cdm0njenFz7+M5990t6VWVPE5w+rCGB2DYQlpTMXoHSwSLCAsuqMpwUfv3MoDTxzhH3/0Jr/8rm1LlkhZKFX52cFzPP9aL54fsHtLM7df10nTRRqLStWnXPXZ3JkmkzQBA4aLxxgdg2EJcR2LpkyMfKm6oO23d2d53y0beOSZEzz23Aned8v85RDmolj2+Pmhszx3uJeKF3DNliY+eNtWXOvic4NKFQ/fh63rGupefsGw9jF3kMGwxDRnYpwbLeP7wYLk/2/c2RaGUh86RxBoWrIxIq5NxLGJuFbt7wu/o66N61iTRkWlssczh8/xzOFzVKoBV21q5I4962htiNPYkGBoOH9R/5ZCycOyBNu6TP6NYWkwRsdgWGKiEZstXVleOtRDKuEuyGV2z43d5EseL73ev+DzOLZFtGaU8qUqlWrAzo0N3LFnHe1LUIl0LF8lEXPY0J6eU7rHYFgMxugYDHWgMROjqy3Fqd4cmeT8mmhCCD78zs3cf+smKlWfiheE8yi13+OfK9WAilf7PWG5bVvctLNtUaHPszFecC2bjNDdlqxLYTnDlYsxOgZDnWjOxPD9gLMDBdILMDwwXknUIXaZ5uqDQJMrVGlpiNHRnMQyIdGGJcYYHYOhjrQ2xPF8Tf9IiUzy0oqz1Rs/CMgVqnS2JGnNxk0OjqEuGKNjMNQRIQQdzQk8P2AkVyZd5yTQi6XqBRRLHhva0zSmTQ6OoX4Yo2Mw1BlLCLpbU/hBQL7gkUysrK9duepTrQZs6cpecqlsg2E+lv3ul1JuAL4JtAEK+JRSKjfLtvcC/1opdXftswD+DPgAEACfU0r9dFkabjBcApYlWN+W5njPKMWSR3wF5LtorSmWfBCwtSs7YxE6g2GpuRxhKV8BvqKU2gm8AHxp6gZSSktK+bvAA8DE5ICPAruAq4APA1+XUppvimFV4NgWGzvSCEtQmkcYtN6UKz5j+SrphMv2bmNwDMvHshodKaUL3A58q7bo68DHZ9h0V+3nc1OWvx94QCkVKKVeB04A76hPaw2Gpcd1bDZ3Zgg0cxZ9qxeeHzCSr2Bbgm3dWda3p3EXUx/bYLhElvv1pgUYVUqNv+b1AN1TN1JKHQI+K6W8c8qqdbV9xplx/7lobk4tZnNaW9OL2r7emPbMzkpqC8zdnqamJK8eHyIeDZUH6k02kyBXrBCJCuTmFhozscsanbaarpVhaamb0ZFSfhz4iymLjwBTRaDm1oGfjDVlf7HI/RkYyBEEC9Oham1N09c3tpjD1xXTntlZSW2BhbWnOelw9PQIyZizILmci0FrTSQWZXAoR2tDnJZMDL/i0d8/4zTqsrAar9Vij2eYnboZHaXUg8CDE5fV3GsDUkpbKeUDncCZRRz2VG2fcToWub/BsGJIxlw2tqd56+zYguVyFkOl6lMs+2xuTtGSaqxL6QSDYbEs65yOUqoKPA38Um3Rp4FHF3GIR4BPSSltKeU2YAfw/NK20mBYPrKpKN1tKcYK1QWPwOfD9wNGcxVAsLUry9auBmNwDCuGyxGy8gXgG1LKLxIGAnwCQEr5eWCdUuqP5tj3W8AtwIHa599QSs1fMctgWME0ZWJ4i5TLmQmtNfmih7AE3e0pGlJRI2NjWHEsu9FRSr0F3DnD8r+eYdlTE7dVSmng92o/BsOaYVwup2+4SMS94IC4UAtOT/j/hT/0+e00WkNbQ5yWhjhOneaIDIZLxQTnGwwrgHG5HNcRVL2AcHwiwv8EiNqSC59ry2qLLSFIxBxiEfOVNqxszB1qMKwQLCFobbj00gQGw0rGjMENBoPBsGwYo2MwGAyGZcMYHYPBYDAsG8boGAwGg2HZMEbHYDAYDMuGMToGg8FgWDaM0TEYDAbDsmGMjsFgMBiWDWN0DAaDwbBsGKNjMBgMhmXjSpLBsYFF1yxZ6honl4ppz+yspLbAymrPSmoLrPn2bCKs/eXNs90VidB6aWp4rAJuI6zlYzAYDPVmM3D8cjdiJXIlGZ0ocBPQA/iXuS0Gg2FtY0Y6s3AlGR2DwWAwXGZMIIHBYDAYlg1jdAwGg8GwbBijYzAYDIZlwxgdg8FgMCwbxugYDAaDYdkwRsdgMBgMy4YxOgaDwWBYNozRMRgMBsOycSVpr82KlPKTwBcBF/jPSqn/MmX9HuBvgQzwY+DzSqm6ZRtLKf9X4BdrHx9WSv3BDOt/HRiqLfqbqW1ewrY8CbQB1dqif6mUenbC+nuA/wTEgb9XSn2xHu2oneuzwG9PWLQZ+H+VUr89YZu6942UMgP8DPiAUur4QvpASrkB+CZhXyrgU0qpXJ3a85vA7wAaeIHwmlWm7PMZ4D8A52qLHlZK/S91as//TShDla9t8u+UUv99yj51+Y5NbAtwFfAnE1Z3Ac8qpT4wZZ+69Y3BGB2klF3A/w7cAJSBn0kpn1RKHZ6w2TeBzyqlnpFSfhX4HPBXdWrPPcC7gb2ED43HpJS/MOVLeiPwy0qpn9ejDRPaIoAdwMaZHgBSyjjwNeAO4CTwsJTyfUqpR+vRHqXU3xI+mJBSXg18B/i3Uzara99IKW8B/oawXxbTB18BvqKUekBK+SXgS8Af1qE9O4DfJ7yfx4CvA78F/MWUXW8E/iel1H+71DbM1Z4J57pdKdUzx65L/h2b2hal1CPAI7V1HcBPgX81w6516RtDiHGvwT3AD5VSg0qpPPAt4GPjK6WUG4G4UuqZ2qKvAx+vY3t6gN9VSlWUUlXgVWDDlG1uBP6NlPKAlPLLUspYndoia7+/L6XcL6X87SnrbwaOKKWO1YzSN6lv30zkr4B/o5Tqn7K83n3zOcKH+Jna53n7QErpArcT3luwtPfQ1PaUgS8opUaVUhp4hen3D4Q6hJ+RUr4ipfymlLKxHu2RUiZq5/9a7Zr8OynlpOdOHb9jU/tmIn8G/LVS6sgM6+rVNwaM0QFYR/igH6cH6F7E+iVFKXVo/MsnpdxO6GZ7ZHy9lDIFvEz4Nns90ED41lwPGoEngF8A7gY+L6W8d8L6Ze2bcWqjwbhS6sEpy+veN0qpzyqlJqqVL6QPWoDRCaPFJeunqe1RSr2llHocQErZSuiO/KcZdu0B/j1wLeEI7cv1aA/QAfyQ0OX5NuCdwG9M2a0u99EMbQHOf6/uBP6vWXatS98YQq549xqh4Z2oeiqAYBHr60LNffQw8PsT38Zq8wD3TdjuzwndO0vuc665qM67qWpuj/uAx2uLLkvfAP+ScA5lEsvZNxNYSB9M3YYZtllSam7jR4GvKqWemrpeKfULE7b9j8DRerRDKfUm4UvL+Ln+Evg0odtrnOW+j36T0NVZnmnlcvXNlYoZ6YQS5J0TPncweTg+3/olR0p5K+EI418rpb4xZd0GKeWvT1gkuDDJv9TtuE1Kefcc57ocfRMhnD95aIZ1y9Y3E1hIH/QCWSmlXfvcOcM2S4aUcifh5Pk3lFL/fob1WSnlxLkMQZ1k+KWUu6WUH51yrqnXZLnvow8DD8y0Yjn75krFGB34AXC3lLK15n/+KPDY+Eql1FtAqWYIAH6F8A2yLkgp1xNOkH9SKTXTF6MI/Ecp5ebaRP9vAf99hu2Wggbgz6SUMSllGvjMlHM9GzZZbqs9UD9JHfumxrXA67X5t6ksZ9+MM28f1ObmngZ+qbbo01O3WSpq1+n7wBeVUn8+y2Y54A9qE+0QuuDq1U8C+M9Sysba3NZvTj3Xcn7HpJQthK7ZY7Nsspx9c0VyxRsdpdRpQvfLk8A+4O+UUs9JKR+RUt5Y2+xTwF9IKV8DUszuC14Kfg+IAf9JSrmv9vP58fYopfoI3UvfJQy9FcBsD5dLQin1PUIX38vAi8DXlFI/r7VpnVKqBPwq8I/AYeA1LkyW14sthG/G57kcfTPOXH0gpfxbKeX9tU2/APymlPIw4bxGvULLPwu0A7874f7544ntUUr5hHOFfyWlfJUw0u0PZj/kxaOUOgD8KWGk2GFg33hU2GX6jk27f2ptWfa+uVIxRdwMBoPBsGxc8SMdg8FgMCwfxugYDAaDYdkwRsdgMBgMy4YxOgaDwWBYNozRMRgMBsOyYYyOYdUjpfy+lLKlFoJ71WVsx41SynlDxqWUfySl/NBytMlgWGkYGRzDWuBeAKXUffNtWE+UUi8wQSx2Dt5FmLNiMFxxmDwdw6pGhrVafhU4SFgv5RbC5MI/BU4QKmXnCeuj/E7t8z8qpf5Vbf8PEiZqRoAC8Hu1BNh/C2wD1hNKtOwjlN4frenifRloJtQM+3Ol1P8jpbwT+LJS6hop5deBUWB37RgHCJUIPgP8H0AfoXy+yXY3XFEY95phVaOU+rXan3cRKgKPcxPwH5RSewgf/v8z8H5C9enfklKuq6kN/wlwn1JqL6FEy7ellMnaMe4gzE7fSai/9UdSSodQ9+0vlVLXAu8D/kRK+fYZmncD8F5gF7AJ+HitoNwLhEKuxuAYrjiM0TGsVY4ppV6u/X0UeLJWo6if0Ag1EbrlOoEnpJT7gP+PUN14W22/B5VS55RSAfBV4D2EBcFiSqlvAyilzhBK4Lx3hjY8ppQq17TXXqmd02C4ojFzOoa1ylTZ+pnUpm3gCaXUuBDnuODqGUI5/onqwhbg1/aZ6pO2CEudT6U44W9NqAVnMFzRmJGOYS3gM/NDfz6eAN5dKwWAlPI+wrmXeG39h2pS9xZhFcrvEgp6VqWUH6nts45QmfzxqQefA+8i22swrHqM0TGsBR4EfkQYQLBglFKHCedxHpBS7iesFnl/rRgcwDnCqq2vAiPAn9RcZR8G/kcp5QHC0hh/rJR6chGnfgj4UynlZxbTXoNhLWCi1wyGGahFr7UopX77crfFYFhLmJGOwWAwGJYNM9IxGAwGw7JhRjoGg8FgWDaM0TEYDAbDsmGMjsFgMBiWDWN0DAaDwbBsGKNjMBgMhmXj/wegzmMO2j09sgAAAABJRU5ErkJggg==\n", "text/plain": [ - " x y\n", - "0 -1.107602 1.969576\n", - "1 -0.152153 0.863231\n", - "2 0.672152 -0.337424\n", - "3 -0.054459 1.291490\n", - "4 -0.854301 0.461832" + "
" ] }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ - "df.head()" + "sns.relplot(x=\"timepoint\", y=\"signal\", hue=\"event\", kind=\"line\", data=fmri);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Scatterplots\n", - "\n", - "The most familiar way to visualize a bivariate distribution is a scatterplot, where each observation is shown with point at the *x* and *y* values. This is analgous to a rug plot on two dimensions. You can draw a scatterplot with the matplotlib ``plt.scatter`` function, and it is also the default kind of plot shown by the `jointplot` function:" + "Adding a style semantic to a line plot changes the pattern of dashes in the line by default:" ] }, { "cell_type": "code", "execution_count": 17, - "metadata": { - "scrolled": false - }, + "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.jointplot(x=\"x\", y=\"y\", data=df)" + "sns.relplot(x=\"timepoint\", y=\"signal\", hue=\"region\", style=\"event\",\n", + " kind=\"line\", data=fmri);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Hexbin plots\n", - "\n", - "The bivariate analogue of a histogram is known as a \"hexbin\" plot, because it shows the counts of observations that fall within hexagonal bins. This plot works best with relatively large datasets. It's availible through the matplotlib ``plt.hexbin`` function and as a style in `jointplot`. It looks best with a white background:" + "But you can identify subsets by the markers used at each observation, either together with the dashes or instead of them:" ] }, { @@ -607,28 +546,27 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "x, y = np.random.multivariate_normal(mean, cov, 1000).T\n", - "with sns.axes_style(\"white\"):\n", - " sns.jointplot(x=x, y=y, kind=\"hex\", color=\"k\")" + "sns.relplot(x=\"timepoint\", y=\"signal\", hue=\"region\", style=\"event\",\n", + " dashes=False, markers=True, kind=\"line\", data=fmri);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Kernel density estimation\n", - "\n", - "It is also posible to use the kernel density estimation procedure described above to visualize a bivariate distribution. In seaborn, this kind of plot is shown with a contour plot and is available as a style in `jointplot`:" + "As with scatter plots, be cautious about making line plots using multiple semantics. While sometimes informative, they can also be difficult to parse and interpret. But even when you are only examining changes across one additional variable, it can be useful to alter both the color and style of the lines. This can make the plot more accessible when printed to black-and-white or viewed by someone with color blindness:" ] }, { @@ -638,34 +576,27 @@ "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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a0Yry+k7Icv/P8jISMKkoFRMKUngjMqIQSZKE9OQ4pCfH4QsTsuD1+VHT5EJ5Q3/H9ElZCz4pawH+0z/cV5KbjJJR/X+KcpIRH8dDWCTgb/EkWZbR5uxDRUP/5GplgxPHazvQc/Iab5LUHz4lo5JRWpgKeyKvdkCkNIvZhKLcZBTlJuPimXlwdrtRXu9EeUMn6pq7Tl0jDwAkABkpccjLSEReZgJGZSQgLyMBmSk22GJ5aDOSqPlt+WUZPX1eeBwulFe3o7mjB83tvXC098DR3oP61m44uz1nPCcl0YoJBRkozu0/h4Ln/BBpKyneimlj0jFtTDoAwNntQX1L18k/3XB09J4RTgMS4izISLEhw97fbdkTrUiOt6JwVA/8Hi+S4mNgi7Ug1mqGicN9wuk+iN7eWgG/DMh+GX5Z7v+73P932d8fMD6/DI/XB7fHD7fXD7fHB7fHh76Tf+/q8cDV44FfHnwfkgQkx1sxPt+O7LR45KTFIzstHvH8VEWkK0nxMUiK759fGtDV60Fzey+aO3vR0tGLjq4+dHS5UXPyYq4jibOaYYu1IM5qRpy1/78xFhPMJgkWswkWswSz6eR/T35tMZsgSRIGpoQlSYIEANJnf5dO/5kE3HzlFMXfj0ghybI8xOGZiIhIfTyTjIiIhGIQERGRUAwiIiISikFERERCMYiIiEgoBhEREQnFICIiIqEYREREJBSDiIiIhBJyDZurr74aSUlJAID8/Hw8/vjjIsogIiId0DyI+vr6AABr164N6PEdrj41yyEi0kQwV+y/5xfvYdXyc1SsRnuZmUlD/kzzobnDhw+jp6cHt956K26++Wbs3btX6xKIiHTNH2WXANW8I4qLi8Ntt92GpUuXoqKiAt/61rewfv16WCy80jUREQCYzaZhO4hIo/nRv7i4GKNHj4YkSSguLkZKSgocDgdyc3O1LoWISJc8Hh8cjpFvYWEkuhqa+/vf/46f/vSnAIDGxka4XC5kZmZqXQYRkW5F18CcgI5oyZIluP/++3H99ddDkiSsXr2aw3JERKeJttvEaZ4AVqsVTz75pNa7JSIyjujKIZ7QSkSkN34GERERiRVdScQgIiLSmWjriLhKgIhC9tzvn8aWDzfDbDbjB/feh8lTpp7x87/8+UW8+cZrSE1NBQDcv+pHyMrOxo/+74fo6OiAzWbDj3+yGqmpaarVuOaFP2Lr1i0AAKfTiZaWZqzfsCng57e1teKb37gZL73yD8TGxsLn8+GXv3gChw4dhNvtxre+fQfmXThf0Zr9UZZEDCIiCsnhQwexe9dOvLDmL2hsaMDK+36ANWv/esZjjhw+hIcfeQylpZNOfe+vL63FxImT8M1v34633nwDz//h97h3xQ9Vq/Pr37gNX//GbQCAe+76Hr73/bsDfu7Wj7bgd7/9FVpbW059752334LX68Ufnn8RTU2N+M+7GxSv2ef3K75NPWMQEWnorTffwPvvb0JXlwvt7e345re+g0suXYjdu3bi6d/9BiazCfn5Bbh/1Y/Q29eHx37yMFxOJ9rb2/CVa67FkqXX4fZv34qUlFQ4nZ24b+UqPPLjB2GxWGA2m/HwI48hKysbv/zF/8O+vbsBAIsWX45lN9yEHz/0AKxWK+rq6tDS7MCDD/8EE0sn4ctXLMLoomIUFxfjB/+78lSt99z1PfT0dJ/6uri4BCvvf+DU1/v27sHcuedBkiTk5ObC5/Ohra31jO7m8KGDWPPCH9DS3ILzL5iHW279Jq6/YTl8Ph8AoKGhHmnp6QD6O5fxEybgi+ddMOL7NaC6ugqP/eThM97jRYsvxzVfXfK5937Tf99FcnIyvnje+QCAdzduwEt/eRFmkxnTZ8zE9+78fECZTCb89qnf4+s3LTv1vW3btmDM2HG4587vQoaM/11x/zC/8dB4feyIiEhFPT3d+O1Tv0dbWxu+cfMNuPDCi/DYoz/Gc3/8E9LS0vHMU7/FW/98AxNLJ+GyRYtx8SUL4HA04fZv3YolS68D0H+wvfiSS7Huby9jYukk3HPP/2LPnt1wdnbiyOHDqKurxfNr/gKf14tv3fZ1fOHc2QCAnNxc3P9/D+L1V/+O1177B+4vnYTGxga8+JdXkJKSckad/9+vfjvs63B1dcFut5/6Oj4+Hi6X64wgWrhoMZYuXYaExETcd+/d2PzB+5h34XyYzWbc8Z3bcOL4cfz2qWcB4FTXMuL7Nf/iU+ceFhQU4pnfPx/Q+/6nF/6IR1f/DADQ0dGB5559CmvW/hVxNhse+tEqbN+2FXPmfvGM55z9NQC0t7ejuqoKv/jVb7Fn9y488uMf4fd/+FNANQTK52NHREQqmjnrCzCZTEhPT0dScjIczQ60NDuw6ocrAAB9vb2YM/c8nD/vQvz1r3/Gpv/+BwkJCfB6vae2MbqoCADw5a9cgxfXPI87v38HEhOT8D/fvRMVFWWYMXMWJEmCJSYGU6ZOQ3l5GQBgwoSJAIDsnBzs29d/weGUlJTPhRAwckeUmJCA7u6uU193d3cjKfGzy7jIsozrr78JiSdv+XL+BfNw9MjhU/MpTz/7R1SUl+Oeu76L1978V8DvV3tbGzJOXo0l0I6orOwEkpKSUFBQCACoqa5CW1sb7r7ru/21d3WhtrYGjz7yEGpqqpGSkoqf/nzw8x3t9hRcMO9CSJKEWed8AVVVlUPWHip2RESkqsOHDgIAWlpa0NXlQlZWNrKysvH/nvwVEpOS8MH7m2CzxePPa9dg6tTpWLL0Ouzc8TG2fLj51DZMUv+C1w/e34QZM2bhW9++A/9e/y+8uOZ5XHzJArz1z9dxw43L4fV4sH//Plxx5ZcBAJIkfa4eyTT44tmROqJpM2biN7/6BW5afguaGhvh9/uRcnJRAgB0uVxYdt1X8be/vwGbzYadOz/GVV++Bn96/g/Iys7G5VdcBZvNBpPZHNT7lZr2WccVaEe0Y/u2M4b8RuXlITs7G7/93bOwxMTgrTffwPgJE/DVa5eOuK3pM2Ziy5YPccmlC3H06BHk5Ch/nUwv54iISE0tLc34n9u/CZfLhZU//L/+FWf/uxL33PU9+GU/EhIS8PAjj0GSJPzs8Ufx73f+BXuKHWazGW63+4xtlZZOxoM/uh+/f/YpmEwm3PODFZhYOgm7d+3ArbfcBK/Hg0sXLsLE0xYLKKW0dBJmzJyF2265CX5Zxn0rVwEA1r/zNnp6enDNV5fgf757J+74zm2wxlhx7uzZOP+CeZhYOgk/fuj/8OYbr8Hn8+HBhx4BMPgc0VDvV7AqKyswe85nw2ypqWm44aab8Z1v3wq/z4fcUXlYsPCygLZ19TXX4mePP4pbv34jZFnGD0/rEpUSbR2RJOv8oka8MR5FkrfefAMVFeWDToxHu4FO8NzZc059L5Ler2BujHfVvW/gDysvhmmQDtaohrv6NjsiItKF8eMnIoe3gznF55NhskROEA2HQUSkoSu//BXRJejWYCEUze+X1+dHjCU6Ln4THa+SiMhg3B6f6BI0wyAiItKhXjeDiIiIBGIQERGRUL1u78gPihAMIiIiHWJHREREQjGIiIhIKA7NERGRUN19DCIiIhLI1eMRXYJmGERERDrk7GYQERGRQC4GERERiSJJHJojIiKBbLEWOBlEREQkSnysBa5u98gPjBAMIiIinbHFWtDV64XXFx23DGcQERHpTKItBgDQ2RUdXRGDiIhIZwaCqM3ZJ7gSbTCIiIh0JolBREREIiXGnwwiF4OIiIgEGOiI2tkRqaelpQXz58/HiRMnROyeiEjXTs0RsSNSh8fjwYMPPoi4uDitd01EZAiJ7IjU9bOf/QzLli1DVlaW1rsmIjIEs9mERJsFzR29okvRhEXLnb366qtIS0vDvHnz8Pvf/17LXRMRGUZSUizS7DbUNLmQlpYAszmyp/M1DaJ//OMfkCQJW7duxaFDh7By5Uo8/fTTyMzM1LIMIiJdczr7kBhrgd8v42hZMzJSbKJLCltmZtKQP9M0iP7yl7+c+vvy5cvx8MMPM4SIiAZhT7QCABwdvRERRMPRNIiISH0V9Z2Dfr8oN1njSigc9oRYAEBzew8wOlVwNeoSFkRr164VtWuiiDNU+Az1GIaS/n3WEfUIrkR97IiIDCyQABrueQwk/UpJ6A+i5vbIXzkX2UsxiCJURX1nyCF09nZIn5LirTBJ0dERMYiIDEbp8GAY6ZPJJCE5wcqOiIj0Ra3QUKrDImXZE6zo6HKjz+MTXYqqGEREBqFFUDCM9CU1qf9SaI2t3YIrUReDiMgAGBDRKT25fwl3A4OIiKIJQ08/0pL7O6K65i7BlaiLQUSkcyKCgWGkD+kng4gdEREJIzIQGEbiJcXHIMZiQn0Lg4iIohTDSCxJkpCWFIuG1m74ZVl0OaphEBHpFEOAgP55Io/Xj5YIvjcRg4hIh/QUQnqqJRpl2PvniWocLsGVqIdBREQjYhiJk50aDwCobHAKrkQ9DCIindHrQV+vdUW67NT+exFVNbIjIiIiARJsMUi0xbAjIiJt6L3r0Ht9kSo71YY2Vx86u9yiS1EFg4hIJ4xykDdKnZEkO61/nqiqMTK7IgYREQWNYaStgXmiSgYREanFiAd2I9ZsVAMr58rrGUREpAIjH9CNXLuRJMXHICk+Bsdq2iFH4BUWGEREAkXCgTwSXoPeSZKEvIwEOLs9aGyLvFuHM4iIBImkA3gkvRa9ys9MBAAcq24XXInyGEREAkTigTsSX5OeDATR0RoGERGFKZIP2JH82kTLsMch1mrGkarImydiEBFppKK+MyoO1NHwGkUwmSSMzkpEc0cvmtoja56IQUSkooHwibaDc7S9Xq0U5SYDAD4tbxVcibIsogsgigQ88H7ewHsycPCk8BXlJAHoD6JLZuULrkY5DCKiQTBYlFNR38kwUkhKYixSE2NxuLINXp8fFnNkDGoxiCjiMVTEYxgppzg3CbuPNeNYTQdKR6eKLkcRDCKKKAwd/WIYKWNsvh27jzVj91FHxARRZPR1FNWidUGAEfF3FL6CrCTEWc3Yc9QRMcu4GURkSAwf4+LvLDxmk4Qxo5LR6uxDRYTcLI9BRIbC8IkM/B2GZ1x+CgBg91GH4EqUoXkQ+Xw+3H///Vi2bBluvPFGVFVVaV0CGRADKPLw9xm64txkxFhM2H6wMSKG5zQPok2bNgEAXn75Zdx55514/PHHtS6BDIQBFNn4uw1NjMWE8fkpaO7oxbGaDtHlhE3zIFqwYAF+8pOfAADq6uqQkZGhdQlkEDxIRQf+nkMzpTgNAPDRgQbBlYRPyPJti8WClStXYuPGjfj1r38togTSMR6YKNolJcXCbDYP+5jkZBvWf1yFnUeacOf1sxAbM/zj9UySBQ4wOhwOfO1rX8Pbb7+N+Pj4QR/T4erTuCoSiSEkRlltYO97SZ565wFF+jlG9sTYgB+7eWdgc+fv763D9kONuP0rkzG7NDvU0jSRmZk05M80H5p7/fXX8eyzzwIAbDYbJEkaMfkp8nEuSIyy2s6AQ+j0xwfznEDx9x+8KSX9w3ObdtcKriQ8mgfRZZddhoMHD+LGG2/EbbfdhlWrViE2NvBPChR5eAASI9wwUSuQKHDpyXEoyknCkep2VDUa95wioUNzgeDQXGRjCGlPrfBQatguUofo1BiaA4DjtR149YMyzJuWi29cXhpKaZrQ1dAcEcChuEjE7kiMMaOSkZJoxbaDjXB2u0WXExIGEWmOASSO2mGhxPb5/0dwJEnCrHGZ8Hj9eH9vnehyQsIgIs2wCxJLq46FnZH2ppakIzbGjA07qtHr9oouJ2i8DQRpQssA0uJAqOYyZjVoHQ5ltZ2Ge4+MLNZqxhcmZGLLgQZs2l2LL80dLbqkoDCISFVaBJCIT+BD7VOPB19RHUo4YcR7FwXvnAmZ2HnEgXe2V+HiWXmIsxrn8G6cSslQ1A4gvQ7/nF2X6GAS/T6xM9JOnNVi2K6Ic0SkODVDyGjnrpx+AqiR6tYDzicG75wJmYiNMeOd7ZXo7jXOXBGDiBSj5mKESDmQaxlMenm/9FJHNIizWjC7NAuuHi/e3lohupyAcWiOwqZ2BxTJTn99Sg5hRfr7RkP7woQs7DvRgo07qzF/xihkpQ6f2hIhAAAgAElEQVR+HU89YUdEYWEHpBwlOiW9vm96rClSxVhMuGjGKHh9Mv626YTocgLCjohComYA0eDvw3AdU6S+b1w9F5oJBSnIy0jA7qMOHKpsQ+noVNElDYtBREFTI4Qi9UCqJL5HFChJknDJrHys3XAEf333KB685VxYzPodANNvZaQ7aixG0OtQEpHR5abHY9qYdNQ4urBxZ7XocobFjogCokYAaUXNxRQcNgoczynS3vzpo3C8pgOvby7HuROykJFiE13SoBhENCIlD+RqB5DW554MtT8GFOmBLdaCi2fl4e2tlVi74SjuXjoNkiSJLutzGEQ0LKUO7GoFkF5Pejy9LoZSeLhgITyTRqfi0/JWfFLWgh2Hm3R5S3HOEdGQlDjIqzEHNDBXpdcQOpvR6qXIIkkSFn6hABazhL++ewzdvR7RJX0Og4gGpVQIKSVSDuaR8BrIeFKTYvHFyTno6HLj7++XiS7ncxhE9DnhHiiV7IIi9cAdqa+L9Gv2xCxk2OPw3p5aHK/tEF3OGRhEdAYlQkipOqLhQB0tr5PEM5tNuOzcAgDAmncOw+vzC67oM1ysQKeEc0BUMoBECGS/ak6YD+yfk/KkpvzMREwfk459J1rw74+rcMUXi0SXBIBBRCeJDiE1A0ipbQ+3HaUChIE0OK6cU878GaNwrLYDb26pwOzSbGTq4NwiDs1RxIXQ6QsbtOqwlN5nJA7X8WRWfYizWnDxjDx4vH68/J9jossBwI6IwhBuCGnRqYiixHlE7AJILZOKUrHvRDP2HGvG/hPNmDYmQ2g97IiiXKgHcT2EkFEm+sOp0wivj4xn4NwiSQL+svEYPF6f0HoYRFFMRAgpER5GCaCzhVq3EV/r2Tgspz+ZKTbMGp8JR3sP1m+vEloLg4iCEm4IhcOoAXS2aAsjhpB+XTAlFwlxFry1tRJtzj5hdXCOKErp5eKgaj93JNX1LQE/tiA3XbH9hjL/wzkjUlqs1YwLpubi3zuq8c8t5bh58UQhdTCIopDWQ3J6CKFgAifYbYQaUKEs1TZaGLEb0r+pJenYcbgJH+yrw2WzC5GTFq95DRyao4AYLYSq61vO+KOmcPcT7Os0yjAdQ8gYTCYJ86aPgl8GXv1AzHXo2BFFGS0PYiJWiqkdOoHuP9guyWidzkgYQsYyPt+O3PR47DzchPL6ThRr/P8iOyIakRHupqpF5xOMUOoJ5rXrtSsqyUtmCBmQJEmYP30UAOCND8s13z87oiii924olOfoKXwGU13fougiB71i+BhfYXYS8jMTsP9EC2qaXMjPStRs3+yIaFhadkPB0nsIDQimOzJaV8QOKLLMOXn31ne2V2q6X007Io/Hg1WrVqG2thZutxt33HEHLr30Ui1LiFqR1A0pEUCtTTVBPyctKz+sfQbaHel5vkhU6Oj1/Yg0JaOSkWGPw/aDjbjmwhJk2LW5IKqmQfTmm28iJSUFTzzxBNra2nDNNdcwiEizEAolfIZ7fijBpPRQnRahxY4nekiShDml2Xh7WyX+/XE1blw4XpP9ahpEixcvxqJFi059bTabtdw9BSmUYTm9nHw6INzwCXTbwYRSIGEkuiti+ESviaNTsXl/HT7cX4evXlgCW6z6MaFpECUkJAAAXC4X7rzzTtx9991a7j5q6WEuYSiB1hZsCKkZQMPtL9BA0msYMYD0ISkpVugH9blTcrHh4yp8UtmOK84vVn1/mq+aq6+vx3e/+13ccMMNuOqqq7TePUU4rQNosP2HO5dEZ4rG+SGnwOu+AcC4Ucl4VwL+ufkEzh2XDkmSwt5mZmbSkD/TdNVcc3Mzbr31VqxYsQJLlizRctdRK5q6IdEhNKC1qSagWpRa9afU75jdEA1IsMVgXEEKah1dOKHByllNg+iZZ55BZ2cnnnrqKSxfvhzLly9Hb2+vliVQgPQyP2S0EDqdEmGk1QcJvYZQNHZDejFjbP/N8jbtUf/flqZDcw888AAeeOABLXdJOqXkATbUEOp0VAT82OTMopD2YYShOr2GEIlVmJWI1KRY7DjchGWXjkNSvFW1ffGE1gim52G5QATSDQUbQp2OilN/tHgeMHKNeumK9IbdkFiSJGHG2Ax4fTK2fNKg6r4YRKS5QA6sSodQqCEy3LaC2V64YTSSSAsrhpA+TClOg8Us4b29tfDLsmr7YRBFqEg7MJ0t2BBSi5rbPp1av089DssxhPTDFmvBxMJUNLX14FBlm2r7YRCR7ozUHQQaQkp2QUrsR+2uKBIwhPRnYNHCe3tqVdsHgygChfvpWc0Vc1p1alp1KsHuU4+r+4iGk5sej6wUG/YcdaBNpfObGESkK0p0QyJCKJh9D/cahnv9I4W40Ydj2Q3pkyRJmDEuA34Z2Ly/TpV9MIjIMPQeQnqqwUiKcpMZQjpXOjoVVosJH+ytg9+v/KIF3hgvwuj5U/FItYU7RxJqAATyvGDPI+p0VAz7nOHOL4qWm+kB7IKMIjbGjNLRqdh3ogUHylswbUyGottnR0Rn0MsVFc42Ujek9nlBoZ57pDQ9f9AIFkPIWKafXLTw/l7lh+cYRBFEzwcpNbuhYA744a6kC/b5wz02mhcuMISMJyctHlmpNuw73qz4ogUGEemeUgdsJTsUtZeGhxrMev4wMoAhZFzTx/QvWvjwk3pFt8sgihBKHIDUGpYLpxtSakhOrdAIZLvsij7DEDK2SUWpiDGbsHlfnaJXWmAQRQAjfAoeihZDcmqvYtN6lZxRb/vAEDK+2BgzJo5OQXNHLw5WtCq2XQYRARDXDQ1HiW5Bq5AYaT+hdEWRdKUFhlDkmH5yxdwHCi5aYBAZXKR2Q0oMyfF8HiLl5abHI9Meh93HmtHR5VZkmwwiA1MqhPTYDQ1HryEUTlcUydgNRRZJkjB9bAb8fhkfKbRogUFEQRO9QCESBfuajdIJM4Qi06SiVFjMEjbvr4eswKIFBpFBieyGwhXJQ3JK79vI80QMocgVZ7VgTJ4dDa3dqGhwhr09BpEBifw0HG43pPYqOb0Pf2lRn1G6JTK2yUVpAICtB8K/eyuDyGCUPMgE2w0ZYZUc6QO7ochXnJsMW6wZ2w81wuvzh7UtBpGBGLkTAiJ7SO50eqlDFIZQdDCbJEwsTIWz24ODFeHdvZVBZBBKh5DWc0NaXD2BiLQ1MDz38aHGsLbDIDIA0SGk5ryQ3i/ho6VIGJpkNxRdctPjkWiLwb7jzfD5Qx+eGzGI9u/fH/LGKTwV9Z0RHUJKUTqEOh1l6HSUKbpNvVHj8j4MoegjSRLG5tnR1evF8ZqOkLczYhA98cQTuOqqq/CHP/wBDocj5B1RcPSw8kntENLrkFxyZgmSM0uE7JvIaMbl2wEAu482h7yNEYNo7dq1eOaZZ+B2u3HrrbfiO9/5DtavXw+PxxPyTmloanRBA4LphowSQpEwJBcJ2A1Fr8KsRMTGmLD7qCPkk1sDmiPKy8vD1VdfjauuugrHjh3D2rVrceWVV2Ljxo0h7ZQGp2YXpPTiBDWXaTOEwqN1KDCEopvZbEJRbjJaOntR39Id0jYsIz1g3bp1eOONN+BwOHD11VfjpZdeQk5ODhobG3HNNddg4cKFIe2YzqSHobgBI9Uiepk26QdDiACgKCcJR6racaiyDaMyEoJ+/ohBtGPHDnz/+9/HnDlzzvh+dnY2HnrooaB3SGfSIoCUHJLTSwgxsEKn9X2IKPKNzk4CABysaMWl5+QH/fwRg+jnP//5kD9btGhR0DukzzCEPhNJIZScWRTS89Kygv8HLBK7IRqQkhgLe4IVh6va4PfLMJmkoJ7P84gE0VsIhSvUEOp0VERUCEULhhCdbXROEnr6fCFdBJVBpDE1V8WFI5xuKJwQCgZDSB8YQjSYwqxEAMDR6vagn8sg0pCWAaTVkBxD6EyhDssFK9Qw4PwQqSXv5CKFE3XBn9gqJIj27duH5cuXi9i1MAyhzwQ7FGeUEAqE2kGldrfCboiGkpxgRUKcBcdrOoI+n2jExQpKe+655/Dmm2/CZrNpvWth9BpCIwklhKJpUcLZ1AiZgtx0xbcZKoYQDUeSJORlJOBoTQdaOnuRYQ/8GK95R1RYWIjf/OY3Wu9WGD2HUKi1qR1CkdYFBUKLFXPhDMsxhCgQA+cQHa8NbnhO845o0aJFqKkx/lWGjS7UIblQLmIaDVdKCKQb0mr+SGkMIe0lJcXCbDaLLiNo40an4b29dWjq6ENmZlLAz9M8iKKJnruh4YRS91DdkJFuaBcqrQNmqGBgYEQOp7NPdAkhiY/pH2Q7XN4Ch+PMZdzDBRNXzalEzyGk1ZAcQyiwxw01LKfk/FCow3IMNwpGbIwZaUmxqGhwwh/EggUGkQr0HEIjCXZILtQQioR5IKMOtQWKIUShyE6LR6/bh+b2noCfIySI8vPz8be//U3EriNKKCE0XEhqGUJGJyqEtBqWYwhRqLJT+1fLVTa6An4O54gUpudL9yhZWyghFK0BFMqwnJJ4EitpKTs1HgBQ1ejEuROzAnoOg0hBeg6hkSixSi6SQ0jrDkjk+UPshigc2WknO6IgrjnHIDKIcANI7W4oUkMo3ACK9HkkorPFWS2wJ1hR2cgg0pyR7q56tmC6oZFOWj2bEUNIr+ERyvxQsMNy7IZICen2OJTVdcLV40GiLWbExzOIdEypAFJ7yHCosAnucj5lIz4mObMk4O0FS43wGWmbWizbJhIhPbk/iOpbujAuP2XExzOIFKD0gV7L+wiF2w2FE0KBhM/Zj1c6jNTqfvTaVQ2H3RApJT05DgBQ39LNIDIaNQJIxL2PRl6+HVwAnf1cJcJIdFAotVpOqWE5hhApKd3eH0R1zV0BPZ4ntIZJqQO9ll3QSMLphtQMIaW2oXYIqbF9BgUZSVpSLACgqS2wk1oZRDqg9ZLsQH8+nFAWISgRQuHSewhxfogiQZzVDItZQpsrsGvmcWguDOF2Q3rqggaEs1Ju+CXcyoZQKEN0egkhvZ3Eym6LlCZJEhJtMWgL8OKt7IgEEbUkWwnBDsmxE1IHA4T0LNFmhbPLDZ/fP+Jj2RFFoEBCSKtFDHoIITUpGUBDDcupGTgMM1JLos0CGUBnlwepJ+eMhsIgClE4B3I9DskNJZBhuaGXcOsjhEScIzQULYbliPQgPq7/RFZnt5tBpDd6GJIL57pyRrxSglJEL/kOFC9ySnpgMUsAAI+PQ3O6oocQ0kqkdENKho+S3ZASQ2ocliM1mU39SxC8XgZR1BAVQpHaISnd/YwUQiLmh4jU5Pf336F1IJCGwyAKQSgHfTW7oWDqCeaxwV7gdECg3dBgIaZkAAS7LaMMvREZgffkkFyMhUEU0ZTsgoK575AShrtGnYhAUHOfoXZDoeD8EOlFr9sHALDFjRwzDCKD0uM15LTejhLUDr1w5oXUvC04h/xIbc5uNwAgNXH4FXMAg0gTSg7L6WlBgp4FEjB6DiEio+vociM5wcqhuUiiRAAxxD6jlxDiteUoEvW6vejocmNSUWpAj2cQGQADRFki54MCpcXdWInU0tjaf9Xt0TlJAT2eQaSycIflGEKDG+6CpyIWO4QSQKK6Ic4PkdoqG50AgLF59oAezyDSMSVDiIHWTy8nqA4XQgwKMroTdR2wmCVMGp0W0OMZRDoVycExEAZnr55TIiSG20Y421dy4UGonRCH5cgIWjt74WjvxZSSNMRazQE9h0GkQ0qHkFLbS84sUnTpdajBoMStwgMhYtUbuyEyuv1l/ecknjclJ+Dn8H5EOhMJnZBWQfH5/RaF9LOzpWXlqxZColfJMehITV6fHwfKW5EQZ8E54zMDfh6DiMJihMviBHPnVDW7oJFCaLiQ4LAcGcEnZS3o7vVi3vRRiLEENiwHcGgu4onqsJIzS1S5Arda3ZbIACKKBF6fH9sONiLGYsKi2YVBPZcdkY7obVhusIOzyA4olCXbI9UrugsaEGo3RKQXu4864Oz24OKZebAnWIN6LoOIwjZ0CGgzV6THu6UW5KZrEkLBDMsx0Egtrh4PPjrQgESbBVeeVxT08zk0F8G07LCGWlGnxBBdqIGmdfcWyhAcw4EiwaY9tXB7/Vh26Tgk2mKCfj6DiIaVlpX/ufsSBbuMeyBIQgmkkUIonCG5cIU79zNSCCnZDRGp5Wh1Ow5VtqE4NwkXTh8V0jY0DyK/34+HH34YR44cgdVqxaOPPorRo0drXUZYinKTdTefE66C3PSw70k0UkAFG0ihhtBIQg0hJRcdaN0JsfMiNXT1erBhRzViLCZ888pJMJmkkLajeRC9++67cLvdeOWVV7B371789Kc/xdNPP611GRSEYLqiQLql0wNmIJSUnE8aLqCCDSE1VrwFEgrshkjvZFnG21sr0d3nxXWXjEVuekLI29J8scKuXbswb948AMCMGTNw4MABrUvQlKgDhhYdW6jDYmc+tiSkEApl38GEUDCLDYIhIoTYDZEath1sREWDE9PGpGPhuQVhbUvzjsjlciExMfHU12azGV6vFxYLp6tEG254brCuCAivMwqVmosQ1DrnJ9AwYGgQACQlxcJsDvyEUK0dr2nHh5/UI90eh/tuPhf2AO7COhzNj/6JiYno6uo69bXf72cIqSDUeSylwwhQ7tbgIwVQuN2QqA4omMeyG4oOTmef6BKG1Obsw0sbjsBskvCdL0+Gu8cNR497xOdlZg59byLNh+ZmzZqFDz74AACwd+9ejB8/XusSFMF/4Gca6Tpv4XYxRguhotxk4SFEpLQ+jw+vbS5Dr9uH5ZdNCPh+QyPRvBVZuHAhtmzZgmXLlkGWZaxevVrrEmgEoXRFQCCr5opO/T3QLimQANNTCIXyAUWtDzX8sERK8vllvPFhOZo7enHprHzMC3Gp9mAkWZZlxbamgg6XflvUYIa+ArlTqxoLDMLZ5nDLuYcKowFqzQ+dLdzzhZQIoXAO+IE+l0NyxhfMPMrmnVUqVhI8WZbxzvYqHChvxfQx6fjetVNhNgU3oKaroblIovQ/djUOHuFsc7iD9EjXaNPiqgYiQ2hg6I0hRNFgy4EGHChvRXFuEm7/ypSgQ2gkDKIooFYYAcMf7JWYGxpu28NRK4TCDZ9gt8F5IRJt34lmfHSgAZkpcbhryfSA77oaDC5XixIDBz6lV9IBw88bAcqungsk2JQOISU7jGC2FUoIsRsiJZXVdWDDjmok2Cy452szkBzkVbUDxSDSSEleckDzRGoLNZACCSNg+LmjUBYrnP28keg1hILdDkOIRGto7cYbWypgMZtw15LpyEmLV21fDKIwKX3dOa2uYxdKIA0cxMPpjgaoMWSn5G0dRHVBAEOIxOtw9eEf75+A1+vH/1wzVbFl2kPhHFGUC2XOI5B5IzXv9TPUPkeixP2BghHKe8sQItF6+rxY9/4JdPV6ccPC8ThnQqbq+2QQaSjQg4yIA0uwB81ArsWmRSAFug8tQyjUBQ0MIRLN6/Pj1Q/K0NrZh8WzC3HpOdp8oGQQKSCSDgahBNJIBsJC6VAKdHtahVA4K+oYQiSaLMt4a2slapu7MLs0C0suHqPZvjlHpFOi73kUzBxSIHNHA04Pj0DmkoZ7fiC0CKFwnhvq8myGEClJlmX8d3ctjla3Y0JBCm67YhJMUmj3FgoFg0hjwayeEx1GAzUAygcSoOzigsGoHULhhgFDiPRi5xEHdh11YFRGAr5/7VTEWLQdLOPQnEIi/eCg9PyR2hhCRIE5VNmGTXtqkZJoxT1LpyM+LkbzGhhEAgRzENLTgUeNBQ1qUDOEwr2yQkleMkOIdKO6yYV/batEnNWMu5dOR7o9TkgdHJozAD0M0Z0u2HOQTg+GQIftQqF26InqgpTYN9HZWjp78drmMsgAvvvVqSjMHvqipGpjEBmE3sIICO+kWEC5UAolgII9sItYkKDEvokG0+v24rUP+u8rdNsVpZhclCa0HgaRgoIJi1Au+RPO9eLUFM5lg04XTDCFe+VsNR9/OoYQ6Y3fL+OfWyrQ6uzD4jmFOH9qruiSGERGpPdAAkK/uKratAohJa6azRAiNby3txblDU5MG5OOJfO1O1doOAwigcK9EKpaByolAk6PYckQomj3SVkLdh5xIDc9Ht++ajJMJu3OFRoOg0hhepzLCdbZB8FwXo9eAskoIcQAIrXUt3Rhw45qxMdZcOeSaYiP08/hXz+VRCm93B5iOOEOuSm1jXD3q+Zz2AWRnvW6vXhjSwX8fhm3f2UyslPVu6VDKBhEOmCEMBpglFDS8kRVhhDpmSzLeHtbJTq73Pjy+UWYUiz2ZPPBMIgoZEoMuyk5DDjY9tR+LkOI9G7H4SacqO1E6ehUfPn8YtHlDIpBpIJQ5omM1BWdTckOZ7CD8lDbFHnzOoDzQaR/NQ4X3t9XB3uCFd/+sn4WJ5yNQaQjRg6jAWosTlD7gK3FzevC3SdRsHrdXvzzowoAwO1fmQx7glVsQcNgEJEqRC1OCAaH4iiSvburBs5uD75yQTEmFKaKLmdYvOipzihxoNObcC8UqgaGEEWyI1VtOFjRhuLcZFx53mjR5YyIQaQSkZeF0auBQBJ9MBY1HyT6dVN0cPV4sGFnNWIsJnzzylKYTfo/zHNoTqcGDnxGnzMaioihO56kSpFOlmWs/7gKPX0+3LBgHHLTE0SXFBAGkc6puYAhkAOsFkGo9BLukbYfDIYQGcmnFa0oq+tfqn3JOereAVlJDCIDOP1gGEowhHMwHey5aodTuMGk1MGfIURG0tPnxaY9dbDGmPCNyyfCJOlzqfZgGEQqUuO6c3qYPzq7Bq2DSQu8iR0Zzfv76tDT58XSi8cgw24TXU5QGEQUtnA7Nr1hCJHR1Dhc2H+iBfmZCVj4hQLR5QSNQUSKMnIocSiOjMjnl7FhRzUA4OZFE2Ex63+V3NkYRKQarYfwwsEQIqPac8yB5o5eXDh9FMbm20WXExIhQbRx40asX78eTz75pIjdkyB6DCaepEpG1uf2YeunDYizmnHt/BLR5YRM8yB69NFH8eGHH6K0tFTrXQsRCTfKU4vIYTwGEEWC7Yca0dPnw1cvLEFSvH6vJTcSzYNo1qxZWLBgAV555RWtd006pkW3pOSKQ4YQiebsdmPnkSakJFqx8FzjLVA4nWpBtG7dOqxZs+aM761evRqXX345tm/frtZuKUIMFRrBBJRaS90ZQqS2pKRYmM3mYR/z3z218PpkLL98EvJHpWhUmTpUC6KlS5di6dKlam2eopTo86gYQqQFp7Nv2J+3u/qw60gTRqXHY1pRChwOp0aVhS4zM2nInxlvnZ8B8eBlfLxoKenJx4eaIMvAlecXGeKipiMx/isgUhkDiPSkq8eDA+UtyLDH4dyJWaLLUYSQ5dtz5szBnDlzROyaKCgMIdKbXUcd8PpkLJ5TGBHdEMCOSDM8oBkLh+JIj/o8Puw93oyk+BhcMDVXdDmK4ZUViE7D8CE9O1jRil63D1+aUwhrzPCr6oyEQUSaHnz1enIvA4iMYN+JFpgk4MLpo0SXoigGkYb0cJUF0QfcofYv4n0R/V4QBaOhtRtNbT2YOS4D9sRY0eUoikEU4YxysB2uTiVDyijvB9HZPilrAQDMi7BuCGAQaU7trigSD7SR+JqIguHx+nGwog32RCumlqSJLkdxDCIBlA4jHqiJIlt5fSf6PD5cek5+xCzZPh2DSJCB8Ag1kBg+RNHjaE07AOALEzMFV6IOBpFggQYSg4coOvn8MsrqOpGWFIvR2UNfr83IGEQ6waAhosFUNzrR6/bh/Km5kCRJdDmqiLzBRiKiCHKstgMAMGt8ZA7LAQwiIiJdK6/vhC3WjPEFdtGlqIZBRESkU51dbrS73JhQkBqRq+UGRO4rIyIyuOomFwBgYqGx78A6EgYREZFOVTX133l1QmGq4ErUxSAiItKp6iYX4mMtKMhKFF2KqhhEREQ61N3rQbvLjbH5dphMkblsewCDiIhIhxrbegAgYk9iPR2DiIhIhxrbugEAo3MYREREJEBjKzsiIiISqLGtGwlxFqQlR9ZN8AbDICIi0hmP1492lxv5mYkRe3250zGIiIh0pt3VBwDITosXXIk2GERERDrT5hwIIpvgSrTBICIi0pmBIMpJZUdEREQCtJ4MoiwOzRERkQjObjcAIMMeJ7gSbTCIiIh0xtntQXysBbExZtGlaIJBRESkM64eD1KTIv/8oQEMIiIinenz+BhEREQkVkoig4iIiARKio8RXYJmGERERDoUH2cRXYJmGERERDoUHxc9HZGmket0OrFixQq4XC54PB788Ic/xMyZM7UsgYjIEBKiqCPS9JW+8MILmDt3Lm655RaUlZXh3nvvxWuvvaZlCUREhhAfyyBSxS233AKr1QoA8Pl8iI2NnlUhRETB4NCcAtatW4c1a9ac8b3Vq1dj2rRpcDgcWLFiBVatWqXW7omIDK1glB2ZmYmiy9CEakG0dOlSLF269HPfP3LkCH7wgx/gvvvuw+zZs9XaPRGRoXW7euGALLoMxWRmDn3Lc02H5o4fP4677roLv/zlLzFx4kQtd01EZCgxluhZ1KxpED355JNwu9147LHHAACJiYl4+umntSyBiMgQGEQqYegQEQXGYo6eIIqeV0pEZBAWswRJkkSXoRkGERGRzsREUTcEMIiIiHTHEkXzQwCDiIhId9gRERGRUCZT9MwPAQwiIiLdMUXRQgWAQUREpDtRlkMMIiIivYmmpdsAg4iISHeiLIcYREREesPFCkREJJQEBhEREQkUZQ0Rg4iISG+4WIGIiISKshxiEBER6Q0XKxARkVDRdmUFSZblyLkpOhERGQ47IiIiEopBREREQjGIiIhIKAYREREJxSAiIiKhGERERCRU1AVRd3c37rjjDtxwww247bbb0NraKrqkQTmdTtx+++246aabcN1112HPnj2iSxrRxo0bce+994ouY1B+vx8PPvggrrvuOixfvhyVlbWSlbMAAAQcSURBVJWiSxrWvn37sHz5ctFlDMvj8WDFihW44YYbsGTJEvznP/8RXdKQfD4f7r//fixbtgw33ngjqqqqRJdEp4m6IPrb3/6GyZMn46WXXsIVV1yBp556SnRJg3rhhRcwd+5c/PnPf8bjjz+ORx55RHRJw3r00Ufx5JNPwu/3iy5lUO+++y7cbjdeeeUV3HvvvfjpT38quqQhPffcc3jggQfQ19cnupRhvfnmm0hJScFLL72E5557Dj/5yU9ElzSkTZs2AQBefvll3HnnnXj88ccFV0Sns4guQGu33HILfD4fAKCurg4ZGRmCKxrcLbfcAqvVCqD/01xsbKzgioY3a9YsLFiwAK+88oroUga1a9cuzJs3DwAwY8YMHDhwQHBFQyssLMRvfvMb3HfffaJLGdbixYuxaNGiU1+bzWaB1QxvwYIFuOiiiwDo+999tIroIFq3bh3WrFlzxvdWr16NadOm4eabb8bRo0fxwgsvCKruM8PV6XA4sGLFCqxatUpQdWcaqtbLL78c27dvF1TVyFwuFxITE099bTab4fV6YbHo75/AokWLUFNTI7qMESUkJADof2/vvPNO3H333YIrGp7FYsHKlSuxceNG/PrXvxZdDp1OjmLHjx+XL730UtFlDOnw4cPy5ZdfLr/33nuiSwnItm3b5Lvvvlt0GYNavXq1/Pbbb5/6et68eQKrGVl1dbW8dOlS0WWMqK6uTr7mmmvkdevWiS4lYE1NTfJFF10kd3V1iS6FToq6OaJnn30Wr7/+OgAgPj5et8MJx48fx1133YUnn3wS8+fPF12O4c2aNQsffPABAGDv3r0YP3684IqMr7m5GbfeeitWrFiBJUuWiC5nWK+//jqeffZZAIDNZoMkSbr9tx+N9DcuobJrr70WK1euxD/+8Q/4fD6sXr1adEmDevLJJ+F2u/HYY48BABITE/H0008Lrsq4Fi5ciC1btmDZsmWQZVm3v3cjeeaZZ9DZ2Ymnnnrq1KKf5557DnFxcYIr+7zLLrsM999/P2688UZ4vV6sWrVK9/Ou0YRX3yYiIqGibmiOiIj0hUFERERCMYiIiEgoBhEREQnFICIiIqEYREREJBSDiIiIhGIQUdR68cUXcdNNN0GWZezcuROXXXYZurq6RJdFFHV4QitFLVmWcfPNN2Px4sVYu3YtHnvsMZxzzjmiyyKKOgwiimrV1dW46qqrcP3112PlypWiyyGKShyao6hWV1eHhIQEHDx4EPxMRiQGg4iiVldXF370ox/h6aefRlxcHF566SXRJRFFJQYRRa0nnngC8+fPx7Rp0/Dggw/iqaeeQnV1teiyiKIO54iIiEgodkRERCQUg4iIiIRiEBERkVAMIiIiEopBREREQjGIiIhIKAYREREJxSAiIiKh/n+8TnOcYNu8PAAAAABJRU5ErkJggg==\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.jointplot(x=\"x\", y=\"y\", data=df, kind=\"kde\")" + "sns.relplot(x=\"timepoint\", y=\"signal\", hue=\"event\", style=\"event\",\n", + " kind=\"line\", data=fmri);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "You can also draw a two-dimensional kernel density plot with the `kdeplot` function. This allows you to draw this kind of plot onto a specific (and possibly already existing) matplotlib axes, whereas the `jointplot` function manages its own figure:" + "When you are working with repeated measures data (that is, you have units that were sampled multiple times), you can also plot each sampling unit separately without distinguishing them through semantics. This avoids cluttering the legend:" ] }, { @@ -675,37 +606,28 @@ "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "f, ax = plt.subplots(figsize=(6, 6))\n", - "sns.kdeplot(df.x, df.y, ax=ax)\n", - "sns.rugplot(df.x, color=\"g\", ax=ax)\n", - "sns.rugplot(df.y, vertical=True, ax=ax)" + "sns.relplot(x=\"timepoint\", y=\"signal\", hue=\"region\",\n", + " units=\"subject\", estimator=None,\n", + " kind=\"line\", data=fmri.query(\"event == 'stim'\"));" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "If you wish to show the bivariate density more continuously, you can simply increase the number of contour levels:" + "The default colormap and handling of the legend in `lineplot()` also depends on whether the hue semantic is categorical or numeric:" ] }, { @@ -715,163 +637,260 @@ "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "dots = sns.load_dataset(\"dots\").query(\"align == 'dots'\")\n", + "sns.relplot(x=\"time\", y=\"firing_rate\",\n", + " hue=\"coherence\", style=\"choice\",\n", + " kind=\"line\", data=dots);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It may happen that, even though the `hue` variable is numeric, it is poorly represented by a linear color scale. That’s the case here, where the levels of the `hue` variable are logarithmically scaled. You can provide specific color values for each line by passing a list or dictionary:" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "f, ax = plt.subplots(figsize=(6, 6))\n", - "cmap = sns.cubehelix_palette(as_cmap=True, dark=0, light=1, reverse=True)\n", - "sns.kdeplot(df.x, df.y, cmap=cmap, n_levels=60, shade=True)" + "palette = sns.cubehelix_palette(light=.8, n_colors=6)\n", + "sns.relplot(x=\"time\", y=\"firing_rate\",\n", + " hue=\"coherence\", style=\"choice\",\n", + " palette=palette,\n", + " kind=\"line\", data=dots);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "The `jointplot` function uses a `JointGrid` to manage the figure. For more flexibility, you may want to draw your figure by using `JointGrid` directly. `jointplot` returns the `JointGrid` object after plotting, which you can use to add more layers or to tweak other aspects of the visualization:" + "Or you can alter how the colormap is normalized:" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib.colors import LogNorm\n", + "palette = sns.cubehelix_palette(light=.7, n_colors=6)\n", + "sns.relplot(x=\"time\", y=\"firing_rate\",\n", + " hue=\"coherence\", style=\"choice\",\n", + " hue_norm=LogNorm(),\n", + " kind=\"line\", data=dots);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The third semantic, `size`, changes the width of the lines:" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "g = sns.jointplot(x=\"x\", y=\"y\", data=df, kind=\"kde\", color=\"m\")\n", - "g.plot_joint(plt.scatter, c=\"w\", s=30, linewidth=1, marker=\"+\")\n", - "g.ax_joint.collections[0].set_alpha(0)\n", - "g.set_axis_labels(\"$X$\", \"$Y$\")" + "sns.relplot(x=\"time\", y=\"firing_rate\",\n", + " size=\"coherence\", style=\"choice\",\n", + " kind=\"line\", data=dots);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "# Visualizing pairwise relationships in a dataset\n", - "\n", - "To plot multiple pairwise bivariate distributions in a dataset, you can use the `pairplot` function. This creates a matrix of axes and shows the relationship for each pair of columns in a DataFrame. by default, it also draws the univariate distribution of each variable on the diagonal Axes:" + "While the `size` variable will typically be numeric, it’s also possible to map a categorical variable with the width of the lines. Be cautious when doing so, because it will be difficult to distinguish much more than β€œthick” vs β€œthin” lines. However, dashes can be hard to perceive when lines have high-frequency variability, so using different widths may be more effective in that case:" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sns.relplot(x=\"time\", y=\"firing_rate\",\n", + " hue=\"coherence\", size=\"choice\",\n", + " palette=palette,\n", + " kind=\"line\", data=dots);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Plotting with date data\n", + "\n", + "Line plots are often used to visualize data associated with real dates and times. These functions pass the data down in their original format to the underlying matplotlib functions, and so they can take advantage of matplotlib’s ability to format dates in tick labels. But all of that formatting will have to take place at the matplotlib layer, and you should refer to the matplotlib documentation to see how it works:" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "iris = sns.load_dataset(\"iris\")\n", - "sns.pairplot(iris)" + "df = pd.DataFrame(dict(time=pd.date_range(\"2017-1-1\", periods=500),\n", + " value=np.random.randn(500).cumsum()))\n", + "g = sns.relplot(x=\"time\", y=\"value\", kind=\"line\", data=df)\n", + "g.fig.autofmt_xdate()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Much like the relationship between `jointplot` and `JointGrid`, the `pairplot` function is built on top of a `PairGrid` object, which can be used directly for more flexibility:" + "### Showing multiple relationships with facetsΒΆ\n", + "\n", + "We’ve emphasized in this tutorial that, while these functions can show several semantic variables at once, it’s not always effective to do so. But what about when you do want to understand how a relationship between two variables depends on more than one other variable?\n", + "\n", + "The best approach may be to make more than one plot. Because `relplot()` is based on the `FacetGrid`, this is easy to do. To show the influence of an additional variable, instead of assigning it to one of the semantic roles in the plot, use it to β€œfacet” the visualization. This means that you make multiple axes and plot subsets of the data on each of them:" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 27, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.6/site-packages/matplotlib/contour.py:967: UserWarning: The following kwargs were not used by contour: 'label', 'color'\n", - " s)\n" - ] - }, { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sns.relplot(x=\"timepoint\", y=\"signal\", hue=\"subject\",\n", + " col=\"region\", row=\"event\", height=3,\n", + " kind=\"line\", estimator=None, data=fmri);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "When you want to examine effects across many levels of a variable, it can be a good idea to facet that variable on the columns and then β€œwrap” the facets into the rows:" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ { "data": { - "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "g = sns.PairGrid(iris)\n", - "g.map_diag(sns.distplot)\n", - "g.map_offdiag(sns.kdeplot, cmap=\"Blues_d\", n_levels=6)" + "sns.relplot(x=\"timepoint\", y=\"signal\", hue=\"event\", style=\"event\",\n", + " col=\"subject\", col_wrap=5,\n", + " height=3, aspect=.75, linewidth=2.5,\n", + " kind=\"line\", data=fmri.query(\"region == 'frontal'\"));" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Note on this error about kwargs: https://stackoverflow.com/questions/3394835/args-and-kwargs." + "These visualizations, which are often called β€œlattice” plots or β€œsmall-multiples”, are very effective because they present the data in a format that makes it easy for the eye to detect both overall patterns and deviations from those patterns. While you should make use of the flexiblity afforded by `scatterplot()` and `relplot()`, always try to keep in mind that several simple plots are usually more effective than one complex plot." ] } ], @@ -891,9 +910,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.0" } }, "nbformat": 4, - "nbformat_minor": 1 + "nbformat_minor": 2 } diff --git a/lessons/lesson14.4.ipynb b/lessons/lesson14.4.ipynb index c0e4c0b..b6a2417 100644 --- a/lessons/lesson14.4.ipynb +++ b/lessons/lesson14.4.ipynb @@ -4,13 +4,36 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Lesson 14.4 - Plotting with Seaborn: Visualizing linear relationships\n", + "## Lesson 14.4 - Plotting with Seaborn: Plotting with categorical data\n", "\n", "*Facsimile of [Seaborn tutorial](http://stanford.edu/~mwaskom/software/seaborn/tutorial.html).*\n", "\n", - "Many datasets contain multiple quantitative variables, and the goal of an analysis is often to relate those variables to each other. We :ref:`previously discussed ` functions that can accomplish this by showing the joint distribution of two variables. It can be very helpful, though, to use statistical models to estimate a simple relationship between two noisy sets of observations. The functions discussed in this chapter will do so through the common framework of linear regression.\n", + "In the relational plot tutorial we saw how to use different visual representations to show the relationship between multiple variables in a dataset. In the examples, we focused on cases where the main relationship was between two numerical variables. If one of the main variables is β€œcategorical” (divided into discrete groups) it may be helpful to use a more specialized approach to visualization.\n", "\n", - "In the spirit of Tukey, the regression plots in seaborn are primarily intended to add a visual guide that helps to emphasize patterns in a dataset during exploratory data analyses. That is to say that seaborn is not itself a package for statistical analysis. To obtain quantitative measures related to the fit of regression models, you should use `statsmodels `_. The goal of seaborn, however, is to make exploring a dataset through visualization quick and easy, as doing so is just as (if not more) important than exploring a dataset through tables of statistics." + "In seaborn, there are several different ways to visualize a relationship involving categorical data. Similar to the relationship between `relplot()` and either `scatterplot()` or `lineplot()`, there are two ways to make these plots. There are a number of axes-level functions for plotting categorical data in different ways and a figure-level interface, `catplot()`, that gives unified higher-level access to them.\n", + "\n", + "It’s helpful to think of the different categorical plot kinds as belonging to three different families, which we’ll discuss in detail below. They are:\n", + "\n", + "Categorical scatterplots:\n", + "\n", + "* `stripplot()` (with `kind=\"strip\"`; the default)\n", + "* `swarmplot()` (with `kind=\"swarm\"`)\n", + "\n", + "Categorical distribution plots:\n", + "\n", + "* `boxplot()` (with `kind=\"box\"`)\n", + "* `violinplot()` (with `kind=\"violin\"`)\n", + "* `boxenplot()` (with `kind=\"boxen\"`)\n", + "\n", + "Categorical estimate plots:\n", + "\n", + "* `pointplot()` (with `kind=\"point\"`)\n", + "* `barplot()` (with `kind=\"bar\"`)\n", + "* `countplot()` (with `kind=\"count\"`)\n", + "\n", + "These families represent the data using different levels of granularity. When knowing which to use, you’ll have to think about the question that you want to answer. The unified API makes it easy to switch between different kinds and see your data from several perspectives.\n", + "\n", + "In this tutorial, we’ll mostly focus on the figure-level interface, `catplot()`. Remember that this function is a higher-level interface each of the functions above, so we’ll reference them when we show each kind of plot, keeping the more verbose kind-specific API documentation at hand." ] }, { @@ -41,7 +64,7 @@ "outputs": [], "source": [ "import seaborn as sns\n", - "sns.set(color_codes=True)" + "#sns.set(style=\"whitegrid\", color_codes=True)" ] }, { @@ -50,1093 +73,828 @@ "metadata": {}, "outputs": [], "source": [ - "np.random.seed(sum(map(ord, \"regression\")))" + "np.random.seed(sum(map(ord, \"categorical\")))" ] }, { - "cell_type": "code", - "execution_count": 5, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "tips = sns.load_dataset(\"tips\")" + "### Categorical scatterplots\n", + "\n", + "The default representation of the data in `catplot()` uses a scatterplot. There are actually two different categorical scatter plots in seaborn. They take different approaches to resolving the main challenge in representing categorical data with a scatter plot, which is that all of the points belonging to one category would fall on the same position along the axis corresponding to the categorical variable. The approach used by `stripplot()`, which is the default β€œkind” in `catplot()` is to adjust the positions of points on the categorical axis with a small amount of random β€œjitter”:" ] }, { "cell_type": "code", - "execution_count": 6, - "metadata": {}, + "execution_count": 5, + "metadata": { + "scrolled": false + }, "outputs": [ { "data": { - "text/html": [ - "
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\n", "text/plain": [ - " total_bill tip sex smoker day time size\n", - "0 16.99 1.01 Female No Sun Dinner 2\n", - "1 10.34 1.66 Male No Sun Dinner 3\n", - "2 21.01 3.50 Male No Sun Dinner 3\n", - "3 23.68 3.31 Male No Sun Dinner 2\n", - "4 24.59 3.61 Female No Sun Dinner 4" + "
" ] }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ - "tips.head()" + "tips = sns.load_dataset(\"tips\")\n", + "sns.catplot(x=\"day\", y=\"total_bill\", data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Functions to draw linear regression models\n", - "------------------------------------------\n", - "\n", - "Two main functions in seaborn are used to visualize a linear relationship as determined through regression. These functions, `regplot` and `lmplot` are closely related, and share much of their core functionality. It is important to understand the ways they differ, however, so that you can quickly choose the correct tool for particular job.\n", - "\n", - "* `sns.regplot()` -- plot data and a linear regression model fit\n", - "* `sns.lmplot()` -- plot data and regression model fits across a `FacetGrid`\n", - "\n", - "The [`FacetGrid`](https://seaborn.pydata.org/generated/seaborn.FacetGrid.html) is an object that links a Pandas DataFrame to a matplotlib figure with a particular structure.\n", - "\n", - "In particular, `FacetGrid` is used to draw plots with multiple Axes where each Axes shows the same relationship conditioned on different levels of some variable. It’s possible to condition on up to three variables by assigning variables to the rows and columns of the grid and using different colors for the plot elements.\n", - "\n", - "In the simplest invocation, both `regplot` and `lmplot` functions draw a scatterplot of two variables, ``x`` and ``y``, and then fit the regression model ``y ~ x`` and plot the resulting regression line and a 95% confidence interval for that regression:" + "The `jitter` parameter controls the magnitude of jitter or disables it altogether:" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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lSLKKYyfD6OqZxHtDoZz4fYHncMbmOnS2N+DMLXWwV0jtLg6APWWucdiEVb0BLSr6999/Px5//HE0NzcDAEZGRnDjjTeS6BNElVPMvIB4UkYsoZSkDo6iqugdmcGRnkm8OxDKGYPjgI4NtehsD+Cc1vqSNiBZCiLPwW4XjB19pfgOFv10PB4PGhsbjZ83bNgAm608VewqHUqmWbus9d9td38QP33uOGZjEmRFxVgohoHTEXzh0u0Fr7OUbQdVxjB4OoKuXi2Wfi6e24BkS7MPnR0B7Gith68CYul5LrWbFwU47HxR+tmWgkVFf+fOnfjKV76Ca6+9FoIg4Omnn0ZTUxN+/etfAwA+8YlPlHySlQg1sFi7lOt3m35j2dhcgw+c0VC2785TrwwgnBarLssqwpEEnnplYNE5JKVUuGWR6+AwxnAqOIeunkl09QZN4/bXBdzY1d6Ane0B+H2OIo6+dDJj5nnYKsSUtBiLin4ikUBTUxP+8Ic/AABcLhdcLhcOHToEwLqiTw0s1i7l+N3qN5Z4QkYkJuHU5BzefG8Ml5+/GVdesLUoYyzEsEko40LHtYzZ0tTBGQ/H8PI7YzjUPYrJ6dy8hECtE7vatRDLplVuQCIYMfOa2K80Zn41WFT0f/CDH5RjHlVHOas0EuWlHL/bg12jiCdkIzOU4zjIsopnDg1ha4uvYjYOpXLMhiIJI5Z+NJhba77WY0dnewCd7QGsb1i9WPr5mHlN5CspAmi55BX9G264AQ888AA+8pGPZHzgjDHwPI8XXnihLBOsVKox67NaKNSeXky7e/q1pqNJ2AQeTkfmn4f+uy3GuBPhGCImNV9kRc14oihkrOXMZ2OjF/2j88lgKmNQVQaO53DgiW6cf3YztrbUFNUxG5lLGrH0Q2O5DUjcThE72zSh39LiA89xODEcxs9/ewKhSAJ+nwO7z2zCto35e3CcGA7jjffGCz7fDFFIhVMuwwFbDb6gvKK/f/9+AMDZZ5+N22+/HYwxcBwHxhhuu+22sk2wUqnGrM9qoFB7ejHt7tnXEgVeEw0gQ/j3dq4r2riNdS6MTOaaUkSBN54oChlrufO54oNb8OhzxxGJSUhKqib4HOBz2TAyEcVjL/bhsj2bliyY2cQSshZL3xNE76npnKqZDpuAs7f6sfd9G9FUY89wfp4YDuPZ108aPwdnEsbPZvNa6vk6ugNWz4BdrgO2Wvx8eUX/e9/7Ho4ePYrx8XEcPXrUOK4oCtatI2GrxqzPaqBQe3ox7e7Z13KlhF5SVLg5LuN3e+CJ3KzZ5Yyr3UCmIGfVbPe6bMYTRSFrXO7nsKM1gL+4dDsOdo2iuy8IBgEuhwi7TTCcs2+8N74s0U/KCt4bDKOrdxLHhsI5JRdEgcOZm/3o7GjAGZvqYBN503aBb7w3bnr9fPNayvn2Ejhgq8XPl1f0f/jDHyIcDuP73/8+7rjjjvk3iGLenrZWYy0k01QahdrTi2l3N7uWyyGC5zjc+b93l2TcHa0BXH7+ZjxzaAiyosIm8nA7RbgcovG0WMhYK5nPtg112NDgxanJqKm93qwSZT5kRUXPyDS6eoJ4d2AKyaybGc9x6NhYi13tAZy11V9QLH2+8ZdzXM+ALaUDtlr8fHk/ea/XC6/Xi/vvv7+c8yEsTqG+kmL6VJZyrWKOe+UFW7G1xYeDXaMIR5Oo89gznhYLGWup89Fj62OJ+aJnfp8DwZlcwVwsJFJVGfpPz6CrJ4ju/inEEpmx9ByAret86GxvwI62enicS8vvWeq8ss/nOM1B3lLvKkvUT7X4+SojdY0gUhTqKymmT2Up1yq2L0d/Wmxs9GFiIrLksQqdT1JSEEuY95jdfWZThi08/Xg2jDEMT8yiqyeIrr4gInO5zugNjR4jlr7Ws3jS1InhMLpe6sNYMJrhfF3KvABgz9nNePb1IXDgDMEHgIt2rV90DsWgWvx8JPpERVGor6SYPpUdrQEMnI7g92+NIBqT4HHZ8OH3bTC9Vjl9OYWMtdA5hfaY1e3dC0W9nJ6aT5qaMjGjNNa5sKtDi7xpqC18V607X0WBg8rMna/55pVegthh59FS70atx75qfrZq8fNxjJW6C+Xyyd75rHXMdntWYrXWnx11oXPtxW1l+4Mt5tpX2mNWD3ucCMfAGJCUVVN7eZ3Xjs72Buzq0BqQLCeW/mcvHEdwJgFR4DJuTIEaBz73se0559sEHg67UJYSxOWk2N/9xkZf3tdop09YnmqJuliIYpUyPtIziacPDSGWkCHJudfxumxGLP3mZu+Kk6YWc8oupwcssTAk+oTlqZaoCzNkRUUs5ZhdbsbsXFzGO/1BHOkNou9UbvcujtN29Z+8sB2t62sgFFF4zZy1HAc0+V0I1DiX1QOWWBgSfcLyVEvURXq2Z32NE+/f3ojWdTXLulZCUnB0MISunkmcGJ7OiaXnADjtWuy+wy5A4LWQy2KjO2t5noPA5iNuPvy+DST4JYJEn7A81RB10d0fxC9/3wuVaaGSo8E5PPXq4JKyZmVFxfGTYRzpCeK9wVCOGUjgObidIgSBh9OeGctezIqWekMRh43HBee0wO9z4I1jkzg5FqlY5+dagkSfsDyVHnWRlBT87s1h0wicxbJmFZWh75SWNPXOwBTiyawGJABa19fg3I4GnNNaj+GJ2SWFSRaKYCRHaaUO0n0BO1oDuGTPVksHMZQTEn2CQOVlV2vhllqDEllhpiWHAXNHKGMMQ2OzONI7ibf7phA1Key2qcmLXR0B7GgLoCatAUkh4ZuFoNead6Q6R62F6pRrBRJ9YlEqpXJgOeax2mvNF265WHYqYwynp+ZwpCeIrt5JhGdzG5C01LuNcsX1Nfn9Fds21i2r5o5ea95pE2Cz8VVZa94KkOgTC1IplQNLPY/u/iCeemUQ/adnIAo8vC4b1DKtlTGGubiE4HQ8b7hlvuzUbZvq8Ns3h9HVO2kabVRf49Bi6dsDaK53F3XetJuvTkj0iQWplBj2Us5Dv6FMhGMAm28dCGiF10q11iM9E3jpiPZU0RzwoLOtPu8OO93sooeYSjLD4yYO6Bq3DTvbA9jV3oANjcVtQFKOwmVEaSHRJxaklDHs2aaUKy5sx6Z68xT+Us5Dv6HIWbvs2ZgEl0Msarw+YwwJScFbJybw1KtDxvGJ0ByefV0rLWwm/LMxCcGZOCIxCWNTsZz6OS6HiB2t9djVEcDWlpqiJjHZ05KjKIyy+iHRJxakVDHsZuaaR/7nXVz9oa2mu+pSxtLrNxRR4DPq2+s3gWKMoahqqsesDFVleO2dMdPz0qNx4kkZ7w6E0NU7iZ7h6ZzkK7vI4+yt9ejsCKBjQ23RzCs8B6NzFGXBrj1I9IkFWUoM+1KcoPnMNU+9OoiDXaMYHItAkrU681uafdjY5DUV/WLE0us3FJ/LlhENo4voSsZISFpphOy2g/nKD0zNxNHdp2XHHhsK5YRpigKH7ZvqsKujAWdsroO9SA1A9Jo2xWwqQlQmJPrEghQaw75UR6uZuWYuLmNyOga/15Ehioxp1zvvjEYMj88WPZZev7E5HSL8ACIxCbKiYlOjB1d80PzJYyHMatZnkx6NwxhDLKFgNiYjkZTxXy+cyDiX54D2DbXobA/gnNb6ghqQLIZum7eLPO3mLcaqiH4wGMSnPvUpPPzww2hvb1+NKaw6ZrviSxaojFfKcRcTNT2GXY9weeCJdwAAG9NEMXvnHkvImI1JuPfxt+Fx2Ywduz6emblmJpoEB2ByOm70bOU5zrCtD4/P4sZrdpRkfcD8ja3OawfAISkrxrrMbnJPvTKA4Ylo6rPw4tI9m7C1pQZJKbdmfTbnndGI/35lUKtxn6duzpYWHzrbA9jZFoDXtbQGJNmUK9JmtUNeicUpe2llSZJw8803o6enB/fdd9+Cor9WM/TylfK9/uodeR2ZpRy3kBLC3f1BPPrc8RyzRJ3PgS9cuh2/eqnPEK5YQkY4koCqMiiMwZYSGL/PAadDxLUXtwFAzlxOTUTBwLTdcdq3UhA4bGj0IpFUsLnZm1dQilEiuZBrdPcH8dPnjiMcSSD9z6fGY8fVe1vzRuAwxnBqMoojvUG83RvEdDQ3ln59wI3OjgZ0tgdQ511Z6QOR52C3C3CIuVmwpWAlnz+VFV/DpZXvuecefPazn8WDDz5Y7qErhnz27N++PoQvXX5G2cctJCTxYNcoIiaZnbMxCQe7RjN27rOp81TGkC4zkZgEZyoEUt+xp5uNwpGEVi0SLGOnzBgQT8ha5EpqDDPzUTHCOgttRh6ZSyJ7vxSNy6ZlEcZDMXT1TuJIbxBBk8zahlonzt+xDts31KBxBW390puK2G182ePmKyW8l1iYsor+448/jvr6elx44YUFib7f74a4Bp1Kodmkaejb6anognfoUo0bjiYXHTc0m4SisJzdoqIwhKNJ/MXlZ+GR/3nXOMZxHBg0Z6j+HkVlsIm8Md4ljT5csmerca0bf/gC4kkFgsBnhE/yPIdoXEad154z/zeOTRrXWMn60teZ7xqBgBdzCRnj4ZjmYM3+LBhDJCahvt6D4HQMbxwdw+F3xzA8PptzPX+NA7vPasYHzmrBphXUpbeLAhx2AU67sOpNRVb6+Zfyu18NlGv9ZRX9xx57DBzH4dVXX8XRo0dxyy234P7770djY6Pp+aHQXDmnVzb8XrtpJMqWlpqSPuLmG7fZ71p0XL/XjhGBywhpBABR5FHnsWNTvQtXf2grDnaNYnQyCgbADgGMMWNHLAo8JFnNO17bhjrI8hQiMQmMaeYQjuPgc2s+AZso5DT2ODkWMa61kvWlrzP7GowxBGqceLdnHIwBPpcNAs9ByYrr5zkOiaSCf/x/DmFoLFfoPU4RO9oC2NURwOZmn5HYFArNob7eg6mp6KLz00sd6MlRkBkSsoxEBfyprOTzJ/POGjXvPProo8a/9+3bh7vuuiuv4K9l8oVBfnTP5lUZt5CQxL2d6zB4OpJj0/e6bMb7dYfvb14dwFOvDBoOTY7TxMqXckbmG+9jezZj6PQMnI7Mr+W1F7fhYNfoonH6y1lftuNRDw3VblaaiYox4NxtDUYtnN1nNmFkMopINJl2HsAUreRxOg6bgHNa/ehsb0D7htolNyCZN9loIl/JpQ6qoUQ1QSGbq0K+MMj3n9FU0t3OcksI68IIDnDYtd22wHMZ0Tvp577cNQpFVcFxSO3Ytf/qfA5cccGWvOO9/4wmTKcE3mx+iwnKUtdnFmZ6emoOO9sDODk2i6mZOOpNqkxuafFhZ1sAh4+OYS6h5FxXFDicuUUT+jM21S05i1UU5ssQ28TSOGBLEWVT6SWqCQ1qjF5BVOIj7lIjMg480Y3u/ilTM9CO1voFQy4XW/+8UBVHUA480W08PaiMQVW1XbtZU25ZUXFieBpdvZM4OhBCUs417WzbWIvOjgDO3lIPh71w+zrPAetaajE7E4PdxkPgS7ubr4RG8NlU4ne/nKxZ8w5RfSw1ImMiHMupYQNoornSGjYrqXlvZsbp7gtCUlQIPA+PU4QjlfSkm7BUlaF/dAZHeoN4pz+IWCK3AcnWdT50tjdgR1s9PM7CY+mzM2Dra5xQErnRUaWAomysDYk+sSBLLXSmh27m7PQFftV6zmbvbAdGZ/DW8QnNYM4ARVExE02iBqk2fnYRv3llAG/3BRGZyxXijY0edLY3YGd7ALUee87rZlRSPZuJcMwIgZUVFaLAw+eyVUUjeGLlkOgTC2KWORtLyJAVFbc9+Crm4jKSsgqR57Cx0Ytz2upx/GQY8YTWBETPqk13+BZiT9azf4cntCgYv88Oj9OOpKxkvKeQax3sGs1wzM4YQj5v2WSMGY1HFJWh99RMxjWa/C50psoVB2oXv3npGbB6pE0l1bOxiwJGIvORQrKsIhRJoK6IfXCrDStlEpPor2GK8UXOjsjQs23dThHBcNyoLaMIHPpHZzCWCrO12QRIqSJjgsBniHS+Gj16GYrs7F+VMYxMzEHgYwjUOo33DJyO4GDXKGZTO9axUAwDpyP4wqXbjXUqqorTU3MZhcskWYGqapLP8xxUowZCpnvL73MYnaZa6t2LOlRFI5yy0jtH5XHjVa57r6RUSqOgckGiv0Yp1hc5PSIWyklsAAAgAElEQVRjcGxWK6/AGCJzEtQ0kVBVBl7gEJmT4LALaMnq0qQnKC1kT9aTrLKzf3VRVlPJT3pI5/OHTyKR1uhbb37y1CsD2LaxDrGEjERSQa3HbhQ3m4tLSHc5qFlFb7wuvQFJAJuaMpOmTgyHM3rHfuCsJuxsDcCeyoAttQO2WCRlFXU+h3Gz1DuFJWVrir7VfBwk+lVEMUoXL+eLrJ8/9mIfwAE8OEiKauwXOczvHVXGTB25ur24EB/B4FhEMw+lrq2y1Bgss9FJNCZlxK3rgWhDY7MZ+QQ72gL4n9e04mZJybwdocBz+Njujbiwc72pvf3EcBjPvn4SHAdwHIfpaBK/fXMEdV5H1QlDY50LaigGV1Y+xGr5XFabUjboqURI9KuEYpQu1o4v74us30T0RiN6DL6OLpM8x5kmEOmCslgzlO7+NOdpWt01Bs0Zmn5tfRduFnWckBQcHQjhle5RoxJmNjzPgQPTHJluOy4+d0POOXrRsq7eIESByzHxVONukJKoMillg55KhES/Sljqzr3YX2T9JqI3GuE5LsO8w3GctgvnAElWcTo4B6YLapoTdzHBOdg1qpkaJAVKVgMRnpvP6mWMaen94fk4e/0hQGUq9v/fN0xr2fMc4HaK8LrtGTb3QI3mxMxXgnhqJm5q06/G3SAlUWVitZsgiX6VsNSdeyFf5KWYi+wij5MTUciKCo7jIAgw7Dpcqg6NTRTgdAiIzkmQmKqZSYRMt2E+wQGAf3rkDfypZxKiwMPjsiGeUCDJCjho5pe2DbWIJxXU+xw4d1sDAOCJP/RhOpppp88We7uNh8shwmUXkZS1TlbZTtYP7mhBrccOh9282fda2w2uJOdhrWG1myCJfpWwVNFZ7Iu8mLko/YZgF/mM2Hu98HF9jRNfuHR7Rl2ciXAMPM+BBwdR5I1SwelPJOlNWQ52jeLR548jMiehzuswzEdyytnocohgjKGh1onPfnQbZIVBZQwnx2ZxpHcScwnFdEdvE3mAMdTXOjMcrE67CI7j0FTnxFQkiaY6Jy46d/2if+CVshu0UmhhObHSTZBEv0pYjugs9EVeyFwEZNa5OTkRhSyrcDtFJGXViPjw+zQn5q9emj833dGa/u/sJ5L0m044koAkqxhNyBAFHkxl4HkOkbkk7CIPlQGd7QEMjc2iq3cSXb1BI6Y+HVHg4XIIcDlEiAKP0Ew8Q/D5lBO2bZ0PX/vEzryfmxn65/iL3/VgNDgHxhg8LhsGTkfKJhZLuVHTDYHIB4l+lbDSR9BsQRgci5j2Wp0Ix3NuCLp4J2UVjXUuI5tzYHQGB57ohl3kEZdUrSdsaieu2cbnE5Kyn0j0MWIJLblLD9WRZRW6TssKg9shwu2y4alXB01NWYEaZ+p8Lqew2boGD6SU0zndHn/hrvUFfWbZDJyOYDwUS1XK1Moo/+blAQDAlRdsXdY1Ae13c/iZYxgem1lQrJdyo17rsebE8iHRryKW+whqtkOMzElG9E16vPamRk+O/8AwuSgq4gnZCIcUU2afeEJGXFIQi8taFE8q6kZRtfOdDjHniUQfYzYmzUfppOajh2mKAo/jw9M566nx2NHZFkBnRwAbGjzoGZlOC6fUBJ4D8IkLWwEUz1b7+7dG8h5frujrvxtb6olmIbFeyK9jtVhzYvmQ6FuAg12jRqNyXdztIo/pWa0evKpqu/OkpOL4SU1k9Rh5joPhsLWJvJE0pTIGRVExGoyCg7YrZyyzzaGsMIyFYrAJHB568l24XSK2NPuwscmLyXAcszHJNDdUcx0wyEpmgTOfS8TezvX4UOc68Clht9sEnLe9CaHZBF760ylEYxI8Lhs+/L4NGT6EYjBr0i4S0PIFdPKZWPIdX4pYL+TXqYRYc7M1AijY5ETmqfJAom8BBsciCKclK+mOUj32XWHzAfEZvWmRisVn0EwoHAdJUsDzPJAqQ6yqWiNzBi3ChqksR8glhUGOSYglZcQTMt48No6s3ud54aCNzQGIJxUcOjqGzS1e7GpvgMMmgOM4dPcH8dbxSfjcdvjcWgG0N49NYGuLL6fW/0pExeuyYdakAJsnFUaaz+Y+cDqCN49N5BwHlhaVtZBfp5AmM6XEbO0/fe44OMDIoF7oKeaPx8bJPFUmSPQtQHaLQR1VZbDZBdhSma4LlV6xCVpphchcEvGkAsY0G3l6rL6iZjZCT4dB6507EzXf3aejCT1nROWkh1DGkwreOj4Jj9NmCPh0NJly4mZ+ndN3y8UoS/Hh920wbPjZx/XxzPj9WyPGzSh7fkuJylrMr7Oa0UVma9efjLI7oZk9xbzw+lDe65LoFxcSfQuQr3OTTZxvQL6Q4GvWHe0EuyhkmDn09wlpIp2PQiu72EQeiqqHh2Y6YWVFxeDYrFYSIoXuFwCQIfzpu+Vi2Lx1u/3v3xrJMCPpx/Pt2qMxyVT0J8JxfPKi1iWJdT6/zmrHmput3awch3Zu7lPM6aB51nQ1Jr9VOiT6FmBLsw9gyKmfXudz4OT4rGlZhXS4tPIHm5u9qPXYcXJiFrKiJWDp5ZMZALaI8GdcN3VtMEBN/SwKnFEGmeOQ8+SgNVdX4EzrTKU7mmdjUobop++Wi2XzvvKCrXmdtvl27br5J/d8pyHKbxybxMmxyIrEejVjzc3Wnq+fr9lTTEvAg6HTMwWdS6wMEv01SL5m39mP2VdcsAUDpyN45tCQ1gBcybXHA/P18IH5HehjL/YhlpAxPZtAQlLBgcFh5yHJzChbbAbPpXbvDBAETdJlhRnH5ZSJiOM08c/OjvW6bMhOmNVLQ2TvLNN3y+XIqM1nc//w+zZk2PSz57ejNYBL9myt6naBZmv3umym5j6zp5iP7dmMh5/sLuhcYmUId911112rPYl8zM3lJuCsZTwex4rXrNuuJ6fjCEUSOBWMou/UDM7YVAeXQ0QsoaDJ78Ll52/GjtYAtm+qw+ZmLyRZhaymxJfpu26tjWCt14GtLT7jPU1+N2aiSbzdG8zwF2gRPObzsok8atw2bN9ch91nNkEFMBeXIQh8yoQDCBxv7PIBwOO0Ycs6H6IxCQLPYUuzF9d9uB0z0SSicdm4tijysAm8Zte3ixnr03E6BBwdDOXM6/LzN6PJ7845vhya/G401DoxNRPP+Jz37lxvejx9fsX43a8mZmu/8oNb0dkeWHDdOh2b6+GycQWduxYp9u/f48nfEIcao1cQxWiOfOCJbgyczozWATRhvPGac1b0R6SoKuJJBfGEgh/9v0dwKhhFPmtOnddudJra0uKD0y7CYTevOf93972M2TnJ2N3reN02/Mtffyjn/OU29i52Y/ViQo3Baf3UGN2C/PHYOJ76Q++K4pQnwjHMxrQGJ2oqfFJPdlpOJISqMiQkBbGEjOBMHG/3TaGrdxLDk+aONwAI1Dpx7UWtOHdbI+w28wJm6eR3NJu3GFyu09JK9VUIIh8k+hVCd38QT748YJhLlhun3Fjnwsnx2YyyxAyAqqoYGpst6BqyoiIhKUgkFcxEk+jun0JXbxC9p6YL6qjncYr4U08Q/+ucwuyxW5p9YAypfruK0clpS7M373uWKuDlTvyhRCOiUiHRrxAWq6uykID85tUBPH/4pJYZynE5LQABzRkbjUu459E/Gs3GNzZ6cMUHt2JHa0ArsZDUhD4al3B0MISu3iCOnwznhGJqmbA8JFnNMe9wABJJBUNjszjwRHdBore3cx3GQjHUeOwZPoJiOfHK3QPVaj1XqwW6EWuQI7dCePrQYFaTbo3gTAInhqcRjWvtA6NxGUcHQ2iodaLJ78ZvXh3Ak3/on+8Vu0DPa0lWMRNNamUXVIZQJIFjQ2G4XVpVyrf7pvDc4ZN4/KU+dPUGMTkdz7uzd9j4VPmGzOMizyGpqJBSGb9mc85GdwJGYjIi0SQcNs0p+07/FI4OhuB0CCtytj7+Ul+G41dnaiaO3Wc2Lfu6xRyv2h25K6XU69dvxPn+jlabcjpyaadfITTWuTCV5XwFkBOTrqPb53//1khGVmw2eiw8Y/p/aWYfxjAdTeLxF/sQT8qIJZSc97qdIuLJzJr1ekkEQeDhEDgkJcWI1ed5rVRDbaqOvtmczdDDFv+/1weKvksud12aSqiDQ2RCBenmMfegEWUnnykjn5NTF5DZmLRIUhWn1cRJHWOMpVoLMsiqtvsPRRIZgr+x0YMrLtiC2/edh0CtE6oeO4/5ZCm97k5LwI1GvwtOhwhe0Bqn2MTckgjpc16Ixcxcy6HR5AakHS9N4k+5xyMWh27E89BOv0LY0RpAba07Fb0zH5GSXUhLr5bJQQvPdIiCVjzNRPi51P8IPA8GFbLCkKcMD5r8LnS2B3BuRwM2NnrhcgiwiVq9neHx2VzbPTd/Q3I5RLgcolFnH9D+yHwuGxjmSzd7XTZ09wcX3FmV4o+z3F2vKqXLFjHPWmt3uRJI9CuI95/RhE31ubtEXUBiCdmIv/f7HBgLxbSsVpMSCjyn1Z1XVIZYQoasmD8OOO0CLtuzCRefuwEuuwi7jc+odbO3cx3eOjEJNetuwRjQUOvAtRe34WDXKIbGZhGJSUbmbjiSQHA6DnDzBdNsAr+oqaYUf5zlrkuz2nVwiFzoRjwPiX6Fky4g7/RPQRS1ujkOuwBVZfC6bHDaBYQiWjkEQCt+5rAJpi0Fta5PmsN1fYMbH79gK96/rVFrYp5Gd38QT70ygOFUq8R09EblHpfdCJ088ER3jlgHp+NgKoPdIcDnshllIBayo+7tXIefPnc8o/a/12Vb8R9nuWP0KSegsqAb8Twk+lWALiD/5yevQ1G1csaywhBPylpsu6SA5zmIAgdZ0ez1c4n56BGXQ8A5rQHsag+gbX0N3E4b3A4Bx06GcbBrFE+/NpjT8OOnzx3PyerlUqYiu0278SSl9B64mYLvcoip2jpcjo17MVNNdirXwqld81BIHrEQdCPWINGvcCR5PlHK57YjOKMJcSwhYWY2aTQjUZXcWPoajx1X723Fto21cKfs7k77fOORfFEyB7tGM8on65Uw9fh8XcTTTS4rrbKoc7BrFE6HWFAN9nQoNp4gCoNEv8JgqbaFCUlBXFIy4vbP3daA37wyiFhCRjypmL6f54BarwMOuwCR53HeGY1wO8QcAU6PhtEdsLKi4idPv5dRZ1+7Jgcl1Qox/Xi6yWWlVRZ1luvIpZA8gigMEv0KQFFVJJIqgtMxjIdjGU5ZRWXoOzWNIz1BvNM/hYSUK/Y8Nx+Pz/Ec3E4RPMehpd6FGpPmHcC8uKY3OgeAmWhSC8dMa6Gow0Fzxjb7c00n+WymZscWEuHlOnILvVmU0wRE5iaiEimr6EuShNtvvx0jIyNIJpP42te+ho9+9KPlnEJJWOyPO/v1D+1swfZNfiQkBcmkgqNDIbzx3jhOjs8iGpMgKQwCD3DgjP6z2dgEHorR1Dx1kAFQGUYmtGJoJ8dncfiHv4MozLc2FHkeNhuPRCrhSi+jrDt4VcY0p65JTXzGtKSsaRMHcdaZxr8WsqOmfy52UYDNJmAiPIfInJTh+AUWj7KwizxOTkQznL8uh2jcLDTH9CD6T88YjeHHQjH8qWcSrS0+oxxFoRTyOy/U3NTdH8ThZ47h+NAUJFmFTeSxpdlHNwmiJJRV9J988knU1dXhn//5nxEKhfDJT36y6kV/sT/u37w6gGcODUFKFRKbmZMwPBHFZXs2YdvGOpwYDuPZ109iJprAbGze+apZUXLl3u0QYLcJmJ5NFtx+MD1cM6mqSGaHX0JrXgLAaFCS79qKytA7Mo1HnzuOv7h0+7J70KafH0/IGIlEwXEcar12eF02RGJaqeXNzd5Fxa+7P4jwbNKIMpJl1XBC7+1cZ4w1EY4BDEhKCmJxGQKvZRCfnIguyf5fyFoLNTfp15JkFaGZ+ScuxmA88ZDwE8WkrBm5l19+Ob75zW8aPwuCeencamKhP+4/9Uzg6dcGIUkKwDQxmplNIJ6U8cZ74wCAl7tGMRNNZgh+PmwCBzW129bhCw1tKRSGjAqdZqiMIRKTMta+1Eza9OORNKex3vKwsc6Fzc1e3HjNjkVFT3f++n0OiCIPcFr/AL/PgR2tAWMs3R+h+0n08hX68UKzfgtZU6HmJv09M9HMpyfdkb6STGSCMKOsO32PxwMAmJ2dxTe+8Q3cfPPNC57v97sh5qmpXimEZpNGZqre9UllDOPhGF7uHtN22Vn15OfiMoYnorj/iXdwcqzwxgkcx83b2lN2fJsomNr5C7ueSV9co85C/vcxaDv+cDRpNGtI/xzSST8nnfTzFYUZCWGKwozj+d6b71o20Q6fZ96HwaA1k9Bft4uCUQgOettGjku9l1/yeAutdWNzDUYnc0tZr2/wZoyhX0uS1YykOP1zKHROawGrrDMf5Vp/2R25o6OjuOmmm/D5z38eV1111YLnhkJzZZrV8mCModZtw+nQnFHQTCdQ48BYMAqB56AoaqrmTaraJbTdesikwJoZ6bcMPQpH350qap66CgUtIHccDgDPc3kzePXzBJ5DncdudPvxe+2mDthmv8u0I1D6+YLApZqzcxAEziivnO+9C13LbGz9dY9TRCiSAAcYjdcZY3A7RUiyWrTxAOADZzTgMZNG37vPaMgYQ7+WTeSRTLt5i6kbQaFzqnaoc1b5OmeV1bwzOTmJ66+/Ht/+9rdx3XXXlXPooiErKubiEkKRBMbDMexsD2iNwLM0cveZTajx2CCkBFRWYcTU64gCD3ER+wzHwciWlRQVisJgF3nwHAeO4xY1xSwGl3piEHkOjX4XGupcsNuEvIXeAC2E05eVJbu3cx1iCRkT4RhGg1FMhGOIJeS8Dtj0475U6QYARhmH7HMWYrEx9P/XTUA2mwCkagfV+RxGcbhijQdodvhrL25Ds98FnuPQ7HeZtnPU31PjyYyyym5ETxDFoqw7/QMHDmBmZgb33Xcf7rvvPgDAQw89BKezcosepcfNJyQlp6HIto11AIA33htHKJJArceORr8Lh94dw7Gh6ZzzAa242Tlb/XhvKIzJ6RgElntDALS6ODaRRywhw27jAXBgYEjKKs4/pxldvUFEU8XX9P6yZj1r56N3NHG32wRwHIwdNWMMtd558XM5RFx7cRsGTkfw/OGTRiVPjtOiZLauq8EVF2zJEbClZNJmh3jW+RywiQKiMWnJKfKLpdhnv76lxYeNTV4Mj88uKyW/0JT+QjJA9dffODYJVWVIygpsooAtBTiwCWI5UGN0E9LbBRo24AVQVBU9w1os/buDUxnlCXQcNgGNdU5cfO56nNMawM9eOI7gTAJTM3Eoipoqdzx/Pgeg1mtHs9+NuInNvtnvwkQ4ZiryPMfhzv+9u+A4cf28wbFZSLKyrJBBs9o7+jxvvGZHQdew8iO+ldcO0PqpMXqZURlDUlKQkFQkTXbz+d4zMBpBV+8kuvumMmrd6Gxt8aGzQ9vtpZstACAUSWiVMN02hGeTOWUUGIDwbBLT0SQa61wZ9eljCRnv9E8Z5+kx6TqNdc4lhVDqP4+92Gc0bFlqGQOqV04Q1YFlRV+vaZOUCtvNA5oZZGQiiq7eILr6gjlhdgCwvsGDXR0BdLYFUOvNbVkmpDJm1wXcGA/HwaUcmPnGZwxGzLnLIRrllfVqm6FIIuN1AEYdfr32fnrCUr6yBAe7RjPKMYiCdv1CyxhQvXKCqA4sI/qqygyRT0iKqVkkH2OhOXT1BNHVG0RwJnfn2ljnRGd7A3a1B9CQKkZ2YjiM/3ltEKFIAn6fA//rnBa8f1sjHKmd9IW71uPR544XFMEjKSomw7FUaB/TQkMBhGcTUFN2/MnpOFx2ARsbtbDYwbFIRpVMPWFpkDO3tA+ORYy5qCpDXJYRi8uYjiYXbXwCFFavvFrLElTrvAnCjDUr+oyxtN28CklZWmjj1Ewcb/cFcaQniNNTuaGjdV47Otsb0NkewLqAOyPGWs+yTSRlzCVkjIXm0HtqBsGZOK68YKtx3lxCzihgln8tmhknmeqQxXMwsk85HmCpS3hdNsQlFY+92Ie5PMlekmwe0687dVWVZZi3JFktyMyzmHOzWqtgVuu8CSIfa0r0ZUWdt83LSt7esfmIzCUNoT85nptY43HZsLO1Hrs6GrCp2Wt0hDoxHMbv/ziM01OaeYPnOAgih1hcBsdx4KDFoT9zaAhbWzQHy2Mv9iEhKUbcvZIltmYIHAcV2s5ev8Wo6nyxtUhMMurV5LvJ2fMku+khmtlN1vWbWSFmnoWiVaq1Cma1zpsg8lHVom+YbOTCHbDZ6E7RI72T6Ds1k3OjcNgEnNNaj10dAbStrzUKk+mcGA7jiYP9iKTZ92WVAUlNpNOtKbKiZoiIKPDGjl3gtcQks8gfY72pYmjZTl9Au9GkPzUIPIdajz3HRr+52Wt67S3NPjAGTIZjRrYvz3OpUNHlO2R108ifeiYzCqHpVLqjlxzUxFqjqkSfMWYI/HJMNjpJScHRwRC6eoM4fjKcc7OwCTzO3FKHXR0N2LaxbsFEpTePjSOWitzRd8VcajeugoFPi1YXBT4lFtp4NpFHPCHrVRUgCDzcThGJpGIac6+ZdjjwvPYDA8AxGIXD0mvmb2z0IC6pOc1IFkosGgvF4HSIGe0R9cSp5Thk000j+g0u2+lc6Y5eclATa42KFn3dLq8LfaFRNmbIiooTJ8M40hvE0cGQYcPW4TkO2zbVYldHA87a4ofDtnDNHzEVhTMTTUJRWYZNX9+NZz81eF02QywGTkcQi8vgU/V0tDIODO/b1oC3TkxCllOx+6ldPc9ryVeAFuY5F9duNC6niFjq3+mZrVd8cCuAwmvZ68efemUA/acjxpOBc4nZqumkP9XokUbAfFG15V63nFBDbWKtUdGiPxNNIpanQ1QhqCpD3+gMunom0d0/ldNtigPQur4Gu9oDOKc1ALdz4Y+DA+CwC3A5ROOm0OTXQi/Td8c8x8EmaiUSdJOL/rSgi0V3Ks5er12vQrtxdPUE4XYImEo9PYgibwh+U50LHpcdSUlFcz0PMIakzGD3cwCnmYbyZaMWgm6Tn49WWVkD6XTTiNMhwg/N76AoqmkjlkqEGmoTa42KFv3lwBjDyfFZHOkJorsvmFG2V2djowe7Ohqwsy2QU/PEDJ7nUj1mBQh8pqlnb+c6DJyO5DQR96RuIElZhayoEIR5Q8+O1gB8bhsicxKSkjLfuATAbFxCQuLh89ghpd67tcVnWvagVBSrgXS2aUTvfbuULN1KoBoaalNYKVEoa0L0GWM4PTWnJU31Bk1j35v8Luxqb0BnRwCBmsLssQ6bAJdDgNOe/2Pa0RrAFy7djqdeGcBwqmPVxiYvwBjiJk5ZPepjS7MPY6EYJsKx+eYfCjNuDJKsGg3Iaz32qvwDJtNIeaCwUmIpVLXoB6fjONI7ia7eIMZNnG1+nwO72gPo7GhAS727oGvynOZkdJk0E8+H2U7w7v972PRcPepDF8T0iBsGZkQHpR8vNFKk0nZ7ZBopDxRWSiyFqhP96WgSb/cGcaR30ugFm47PZcOO9gDO7QhgY6M3w8G6EHaRh8shwmkXCn7PQiwW9aH/Mf7k6fcwG5MgCprtXu/qlH7DKSRSpFJ3e9VgGql2KKyUWApVIfpzcQlv902hq3cSA6ORnAgel0PAOa0B7GoPoHVdDXpPTeNg16hRAmH3mU1GCeR0eE6zM7tNdvWF7JoXOqcQ08aO1gC+9PEzjfMkWSu3ACytrnx3fzDj5pEeC1+K3V6lPVFYHQorJZZCRYv+G8fGcfi9CfQMT+dkitpFHmdt9WNXewM6NtYaoq2XQNAJziSMn3Xht6Xi4fPt6gvZNS92zlJqruvnhaNJ+Nw2IyqnEHOIPo/ZmGT04U2PhS/2bq9SnyisDPlOiKVQ0aL/6PMnMn4WeA7bN9VhV0cAZ272w24SS683HM/mzWPj6GzTwjJti/TdLcRGWsg5hZo29POWU1Nbn0d6di+Q3mC8uLs9sh9XHuQ7IZZCRYs+oNWUaV9fi10dAZy9tT4jhd8Ms8gdnucwE5VMSx2bUYiNtFLsqPo80pOfgHlHcLF3e5WybiIT8p0QhVLRov/lK89CY50LPvfisfQ6fp8DwZmE1ls2VfuG4zg0+V0FX6MQG2ml2FH1eaQnP8mKCq/LZtqTtVjj5R4n+zFBVANlbYy+VM7ZWr8kwec44EM7WyAKnBENo9vsl7LjLaTxdSHnlIP08ZwOEY11LqwLePClj59Zkp1fpaybIIjlUdE7/UKxCalwS4eAZr8bbqdtRfbNQmyklWJHLfc8KmXdBEEsj4pujN7TP5m39g7HAU67CLdDWNQxWy1Qc2jrrt/Kawdo/dQYfQFEQauD43SIRhMTgiAIojCqQvQ5AE67UFC4JUEQBJGfihZ9QeDhc/Nw2UWjCiVBEASxfCpa9NNLERAEQRArp6JDNgmCIIjiQqJPEARhIUj0CYIgLASJPkEQhIUg0ScIgrAQJPoEQRAWgkSfIAjCQpDoEwRBWAgSfYIgCAtR0VU2CYIgiOJCO32CIAgLQaJPEARhIUj0CYIgLASJPkEQhIUg0ScIgrAQJPoEQRAWgkSfIAjCQlR056y1zpEjR/Av//IveOSRRzA4OIhbb70VHMdh27Zt+O53vwueX5v3ZEmScPvtt2NkZATJZBJf+9rX0NHRYZn1K4qCO+64A/39/RAEAT/4wQ/AGLPM+nWCwSA+9alP4eGHH4YoipZa/yc+8Qn4fD4AwMaNG/GZz3wG3//+9yEIAvbu3Yuvf/3rpRucEavCgw8+yK688kr26U9/mjHG2A033MBee+01xhhjd955J3vuuedWc3ol5Ze//CXbv38/Y4yxqakpdvHFF1tq/c8//zy79dZbGWOMvfbaa+zGG2+01PoZYyyZTLK//uu/Zpdeeinr6emx1Prj8Ti75pprMo5dffXVbHBwkKmqyr785S+z7u7ukiCgwkwAAAU2SURBVI2/dm+lFc7mzZvx4x//2Pj5nXfewZ49ewAAF110EV555ZXVmlrJufzyy/HNb37T+FkQBEut/2Mf+xjuvvtuAMCpU6fQ0NBgqfUDwD333IPPfvazaGpqAmCt7/97772HWCyG66+/Hl/84hdx+PBhJJNJbN68GRzHYe/evXj11VdLNj6J/ipx2WWXQRTnrWuMMXAcBwDweDyIRCKrNbWS4/F44PV6MTs7i2984xu4+eabLbV+ABBFEbfccgvuvvtuXHbZZZZa/+OPP476+npceOGFxjErrd/pdOKv/uqv8B//8R/43ve+h9tuuw0ul8t4vdTrJ9GvENLtl9FoFDU1Nas4m9IzOjqKL37xi7jmmmtw1VVXWW79gLbbffbZZ3HnnXcikUgYx9f6+h977DG88sor2LdvH44ePYpbbrkFU1NTxutrff2tra24+uqrwXEcWltb4fP5EA6HjddLvX4S/Qrh7LPPxqFDhwAAL730Enbv3r3KMyodk5OTuP766/Htb38b1113HQBrrf/Xv/41HnjgAQCAy+UCx3HYsWOHZdb/6KOP4qc//SkeeeQRnHXWWbjnnntw0UUXWWb9v/zlL/HDH/4QADA2NoZYLAa3242hoSEwxnDw4MGSrp+qbK4iw8PD+Nu//Vv84he/QH9/P+68805IkoS2tjbs378fgiCs9hRLwv79+/H000+jra3NOPb3f//32L9/vyXWPzc3h9tuuw2Tk5OQZRlf+cpX0N7ebpnffzr79u3DXXfdBZ7nLbP+ZDKJ2267DadOnQLHcfi7v/s78DyPf/zHf4SiKNi7dy++9a1vlWx8En2CIAgLQeYdgiAIC0GiTxAEYSFI9AmCICwEiT5BEISFINEnCIKwECT6BEEQFoJEn7AMkUgEN91004Ln3HbbbRgZGVnwnH379hmJRGYMDw/jIx/5iOlrX/nKVzA2NobHH38ct956KwDgIx/5CIaHhxeZPUEUBxJ9wjJMT0/j6NGjC55z6NAhlDJ15aGHHkJzc3PJrk8Qi0GiT1iG/fv3Y3x8HDfddBMee+wxXHnllbjqqqtw6623IhqN4sEHH8T4+Di++tWvIhQK4emnn8af//mf4+qrr8bll1+OP/7xjwWPlUgk8M1vfhNXX301vv71r2N6ehoA7eqJ1YdEn7AMd9xxB5qamvCNb3wDBw4cwCOPPIL//u//hsvlwr//+7/jq1/9KpqamvDggw+itrYWP//5z3HgwAE8+eST+PKXv4wHH3yw4LGCwSD27duHJ598Eps2bcK9995bwpURROGQ6BOW4/Dhw7jkkkvg9/sBAJ/5zGfw2muvZZzD8zzuvfdeHDx4ED/60Y/wq1/9CtFotOAxWltbjaJZ11xzDV5//fXiLYAgVgCJPmE5VFXN+JkxBlmWM45Fo1Fcd911GB4exgc+8AHs27dvSWNk90pI/5kgVhMSfcIyiKIIWZaxZ88e/O53vzNqmP/iF7/A+eefD0Dr4qUoCgYGBsBxHG688Uacf/75eP7556EoSsFj9fb24t133wWg1Y//4Ac/WPwFEcQyINEnLEMgEMD69evx/e9/HzfccAP27duHyy+/HDMzM7j55psBAB/+8Ifx1a9+FT6fD2eddRY+/vGP44orroDf78epU6cKHmvz5s249957cdVVVyEUCuGGG24o1bIIYklQaWWCIAgLQYZGglgGQ0ND+Ju/+RvT1/bv34+dO3eWeUYEURi00ycIgrAQZNMnCIKwECT6BEEQFoJEnyAIwkKQ6BMEQViI/x8gZlgjunrrmwAAAABJRU5ErkJggg==\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.regplot(x=\"total_bill\", y=\"tip\", data=tips)" + "sns.catplot(x=\"day\", y=\"total_bill\", jitter=False, data=tips);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The second approach adjusts the points along the categorical axis using an algorithm that prevents them from overlapping. It can give a better representation of the distribution of observations, although it only works well for relatively small datasets. This kind of plot is sometimes called a β€œbeeswarm” and is drawn in seaborn by `swarmplot()`, which is activated by setting kind=\"swarm\" in `catplot()`:" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"total_bill\", y=\"tip\", data=tips)" + "sns.catplot(x=\"day\", y=\"total_bill\", kind=\"swarm\", data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "You should note that the resulting plots are identical, except that the figure shapes are different. We will explain why this is shortly. For now, the other main difference to know about is that `regplot` accepts the ``x`` and ``y`` variables in a variety of formats including simple numpy arrays, pandas ``Series`` objects, or as references to variables in a pandas ``DataFrame`` object passed to ``data``. In contrast, `lmplot` has ``data`` as a required parameter and the ``x`` and ``y`` variables must be specified as strings. This data format is called \"long-form\" or `\"tidy\" `_ data. Other than this input flexibility, `regplot` possesses a subset of `lmplot`'s features, so we will demonstrate them using the latter.\n", - "\n", - "It's possible to fit a linear regression when one of the variables takes discrete values, however, the simple scatterplot produced by this kind of dataset is often not optimal:" + "Similar to the relational plots, it’s possible to add another dimension to a categorical plot by using a `hue` semantic. (The categorical plots do not currently support `size` or `style` semantics). Each different categorical plotting function handles the `hue` semantic differently. For the scatter plots, it is only necessary to change the color of the points:" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"size\", y=\"tip\", data=tips)" + "sns.catplot(x=\"day\", y=\"total_bill\", hue=\"sex\", kind=\"swarm\", data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "One option is to add some random noise (\"jitter\") to the discrete values to make the distribution of those values more clear. Note that jitter is applied only to the scatterplot data and does not influence the regression line fit itself:" + "Unlike with numerical data, it is not always obvious how to order the levels of the categorical variable along its axis. In general, the seaborn categorical plotting functions try to infer the order of categories from the data. If your data have a pandas Categorical datatype, then the default order of the categories can be set there. If the variable passed to the categorical axis looks numerical, the levels will be sorted. But the data are still treated as categorical and drawn at ordinal positions on the categorical axes (specifically, at 0, 1, …) even when numbers are used to label them:" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { + "image/png": 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2bL1OmTeX2HHjbI5KFaZTEKrSO3bhGO9vep//bP4Ppy+dLvL4ihMrmLJvCrmWtDKfFzePeXHzyjrMUnX2m/H5yRfg0rLlZBzUcqLljVt/xRtjAoBlgH/e95piWdarxpj6wASgKrAJuM+yrEx3xqI806mLp7hz1p1cyLwAwOR9k5k6ZCrhfuFsOLOBAJ8A4lLiijwvLrnouYrE+HgXPedd9Jyyl7v/xsoAbrQs66IxxhdYYYyZCzwLvGNZ1gRjzMfAKOAjN8eiPNDsw7Pzky/A2fSzTD8wnRkHZ3Dg/AEAOlTvgI/xIduSEaPB0LN2T1viLS1VH3yQiz8vw8qUcU1gu3acfOUVDIaqox4i9IYbrvAKFVv6pSz2rjlNdlYOTbpEl9sGnW5NwJascXNUvvbN+7CAG4EReee/Av6CJmDlBoE+gUXO7UzamZ98ATbGb+Txto+z/vR6snOzubf5vbSKalWWYZa6oPbtaTB7FhcXL8bKzSX+329KOyogdfNm6k/9kYDGjW2O0j0y07OZ/MZ6UhLTAdi84Ch3/rEzoVXLXxJ2+xywMcbbGLMFiAcWAAeB85ZlOSaojgO1LvPc0caYDcaYDQkJWjpQ/XqDGw6mXli9/OPGVRoTFRhV5LqY4Bg+u/kzvur/FX3q9inDCN3Hr04dqo4ciZWenp98AcjJ4eLPP9sXmJsd3pKQn3wBMi5ls2f1qV94hn3cfpvXsqwcoK0xJgKYCjQr7rLLPHccMA5kI4bbglSVVphfGJMHT+bn4z/jbbzpUbsHh5IPMWHvhPzi7BH+EZV6J5xf/fpFzvk3aGBDJGXDeBfdA+FVzLnyoMzW2ViWdd4YsxToCkQYY3zyRsG1gZO/+GSlrkKATwA317s5/7hp1aZ82e9LJu+dTKBPIPc2v5dw/3AbI3Sv0D59CB8yhOQZM8AYwofeSkglngOu3yaKqjWDOXvyEgBB4X407RZjc1TFc+tWZGNMFJCVl3wDgZ+AfwEjgR8K3ITbZlnWh7/0WroVuYyd3AIHFkBUU2gy0CPqQ1R22QkJYAw+kZF2h+J2WRk5HNwUT3ZWLtd0qE5AsG9Zh1CiIbe7R8AxwFfGGG9kvnmSZVmzjDG7gAnGmNeBzcBnbo5D/Rq7psPkByBvXSztR8It79sakrp6PlFF574rK19/73I76i3I3asgtgHtijl/COjszu+trsKqD5zJF6RX3E1/kTZGSqlSU3H3WqrSlZMNx9ZAUDW7I1HKY/xiAjbGzOQyKxQALMu6pdQjUmXvYjx8MQCS9stxvR7SFSN/CuI+Hf0q5QZXGgH/X5lEoey19mNn8gWIWwa3/Q+Sj8lNuMb97YtNlYrshARZBYEh/NYh+FTTv3TKg19MwJZlVd7V2srpwpmi5/xD4frnyj4WVeqyExM5dNtt5CQkAnD2q6+oP30aPlWq2ByZ+sW1RcaY7caYbZf7KKsglZu1Ho7LqpmQaKhfsWshKKeU2bPzky9Adnw8KXPm2BiRcrjSFMSgMolC2atBL7hnCmwZD4FV4donwS/I7qhUafEu+r+58SnzdbGqGNoTTqlKLuf8eQ7fPoysEycA8I2Npf4PU/AODbU5skrt6jdiGGNWWJZ1nTHmArIawhT8bFlW2FWHqcpWZiqc3AyRjSHEcxbmezLviAjqT5vKhfnzwRhCb+6Hd0iw3WEprnwT7rq8z/qrsjI4vhG+HQZpZ8HbDwa9C+3ugd2zYM8sqNoAuoyBgMpVF+FIyhE+3vox8anxDKg/gNsb3253SGXOOzSUiGHD7A5DFVLijRjGmPbAdcgIeIVlWZvdFpVyj4WvSvIFyMmE+X+A3GyY+ZTzmoNL4KG59sTnBlk5WYyaP4ozqbLSY93pdfh5+zG44WCbI1PuFLc9kY1z48jOyqXNjXXK7bbkEiVgY8yfgeHAj3mnvjTGTLYs63W3RaZKX8oJ1+P0ZNj0jeu5o6sg6SBkpcLqDyEnAzo9AnW7lV2cpWhrwtb85OvwU9xPAEzYO4FA70Aeaf0IXWK62BGecoPzZ1KZ+9F2cnPl/tair3YTUjWA2k3K37K7ko6A7wbaWZaVDmCM+SfSy00TcEXSchgs+7fzuOGN4FtotYOXD2Slwef9wdHKZ9cMGL0UoluWVaSlpmZITbyMV37DTQBvL29eXvFy/vHm+M3MGjqLmJDyOUpSv86x3Wfzk6/D0R1J5TIBl7TGYBxQsJ+HP9LZQlUkvf4AN78B19wE3Z+GYV9Ajxdc53yvfQqOrXUmX4DcLNg5tezjLQU1Q2oyts1YfIyMNa6JuIZwP9c57szcTFadXGVHeMoNqtUqeoOxas3yedPxSqsgPkDmfDOAncaYBXnHfYAV7g9PlSovL+j2mHw4BLaFp7bCtEfh0DLYMQWa31r0uaHRZRdnKXu0zaMMazyMxLREmlRpwuR9k/nxwI8u19QPL9o1QlVMNRtVoV2fWLYuPoaVa9G4czSNO9ewO6xi/eI6YGPMyF96smVZX5V6RJeh64DdaP1nMPtZ57Hxhvo94NASOa7dGe6fBn7lcxTxa2XmZPLishdZdHQRPsaHEc1G8EKnF+wOS5WyjLRsrByLgBBbNp1c/TrgkiZYY8wPlmV53tqeyuLoGtdjKwc6Pgh9/iqrJWp1AFM+e2r9Fn7efrx7w7vEp8bj5+VHRECE3SEpN/APLP/Vdksrwsrb4c8T1OkM2yc5j423JN3w2vbF5CbxqfG8u/Fd9p7by7U1r+Xxto/bHZLyYKWVgCvGfmZVvA4PQuI+WZIWVBVueq1SJl+AZ5c+y9aErQDsO7ePjJwMXu7y8hWepZR7lP8xunI/bx8Y8KZ8VGLn08/nJ1+HpceW0qt2Lz7d8SmZOZmMaDqCAQ0G2BSh8jSllYArzwShEtmZcPE0hNep8PO/uVYu+8/tJyooiqjAKBLSEvIfqxlck8cXP052bjYgGzeig6NpX6O9XeEqD1JavcZ/X0qvo8rKgUUw6X6Y8SQk7nd9bN9P8HZTeLcV/LczJB6wJ8ZScDTlKIOmDmLYzGHcPOVm+tbtS4S/3HSLDY2lQ40O+cnXYenxpTZEqjzRldYBb6f4+V1HNbTWyBc/uSE25S5xK2H87eT/p90zG57aAgFh0pxzxhOQmiSPJe6D+S/DPZMu+3Ll2fub3+fYhWMApOek8+OBH5l3+zzWn1pPQloCAT4BRZ7TIFzvKauyoQXZPdGOKbj8Xk1NgoOLoMVQSDsHFwu1KErYU6bhlSZH8nVIy07js+2f8fWurwEwGLrFdGPd6XXkWrn0rdeXgQ0G2hGq8kBXWgd8pKwCUWUotJiaBymn4IdHZBVEjRZwZqfzscY3l11spaxP3T7sStqVf9woohE/7P8h/9jC4uSlkyy5YwnZudlEBWmNZFV2SloNrSvwAdAM8AO8gUtakL2C6vQw7JoOZ3bIcYMbZJrBMSoOriHbkeN3S92I3n+yLdSr9VDLh/AyXiw5uoR64fUY3Xo0Q6cPdbkmKyeLRUcX8fOxn6kfXp9RrUYR5BvEWxveYtahWVQPqs7zHZ/n2prX2vQuVGVVopZExpgNwF3AZKAjcD9wjWVZf3RveE66FbmU5ebC8fUy77v6P7B5vOvjd0+AJv2LPsertO7b2ufN9W/mT0EA9Krdy+XGW/vq7elVpxdvb3w7/1yQTxALhy8k1E97E6gSufqtyAVZlnXAGONtWVYO8IUxRstHVWReXhCbVwM3uJg/u4OrO79OT4Hpj8vNuip1YeBbUsqygnq+4/O0jmrNzqSddInuwnub3nN5fFP8Jny9XOsHpGansitpl9YNVqWqpMOZVGOMH7DFGPNvY8zvgMpRmUVBl7HSjsih9Z1Qo7nUBQZY+gbsniE1Is4egskPSm+5CuLzHZ8zdPpQRs0fxZb4LRhj6BrTlXph9UjOSKZaYDWX6wO8A2gV1crlnJ+XH42rNC7LsJUHKOkI+D4kWT8B/A6oA9zmrqBUGQutAY+vgyMrpS39zh/hX/XAypX54uPrXa9PPw9JByCmtS3h/hpT90/lnY3v5B+PXTiW7wZ+x6j5o/I3ZNQPq08V/yqcyziHt/Hm6fZPM6zxME5ePMn8uPlUC6zG7zv9nioB5a+gt6rYSjoH/LRlWe9d6Zw76RxwKcrNgf0/QfJxmectWPfh4GL4xvUmFU0HSdNOh6Bq8Ltd4Ft0DW158+zSZ1lwZIHLuYENBjL70GyXc/+6/l9EBkYSGxZLdLCz9nF2bjY+XrpjX/1qJZoDLukURHF1gR8ocSiqfJn8AHx/F8x5Hv7TCU5scj52alvR6yMbQ5sR4BcC0a3gzvEVIvmCLDsryMt4Eepb/I20zjGdXZIvoMlXudWVdsLdDYwA6htjZhR4KAxIcmdgyk3i98h8rkNWqqyCuPUjOLwcQmqQt9HReU2jvtKUc+hHZR3tVbu/xf1sTdzKyhMrCfQJ5On2T3N9reuZdWgWF7MuAlA7pDa96vSyN1Dlka70630VcAqIBN4qcP4CUMxQSZV7OZlFz6WnyEj4fN6+m1odIfOS3HS79skK2xEZINg3mI9v+piktCSCfIMI9AkE4LuB3/HJ1k8I8g3iibZPEFS4OalSZaAkO+GOAN2MMTWATnkP7bYsK/vyz1TlVkxrqHsdHMlr6eflA/5hzuQLcGIDPLwIane0J0Y3KLjS4Xz6eZ5a/BRxKXEAHEk5wrg+4/D28rYpOuWpSjQHbIwZDqwDhgN3AGuNMcPcGZhyo3unwKB34Prn4ZEl4BdY9JpLiWUfVxmZsn9KfvIFWHd6HStOaI9ZVfZKeofhFaCTZVnxAMaYKGAhMMVdgalf6VwcLH5d1uk2HQjdnwEvbzl/ZifU6QrBeaNA30Do+JDzuW1GwJbvZNkZQFhtaNCr5N87Kw0WviYrK6o3g5v/DlXqlcrbcoeUzJQSnVPK3UqagL0cyTdPEqVXS1hdLcuC8cMgKa+u74mNYLzAPxTmvCCJ1ScQRkwoPrHW6w73z5AkHFQVuo795VUOlgWntkJwpCxhW/garM27QXf2oCT9sStL+U2WnsENBvPtrm/JzJX58GoB1ehZp6fNUSlPVNIEPNcYMx/4Pu/4TmCOe0JSv1rCXmfyddg9UwqpO0a12Wmw6G+XH9mei5PRc/p5uJRw+Z5wFxPg6yEQv1OS/LVPwgHXdbac2QEpJyGs5lW8KfdpVKUR4weM54f9PxDkE8RdTe8izE/rSqmyV9IEbAGfANcha5TGAV3dFZT6lcJiwDdIlpQ5RNSFk5tdr7uUADunwt65UK0RdH1URsm7Z0oRdoe4lfDMNggspl376g8k+YIk95XvSVJPKtA1Iziq+PoS5Uizas14pdordoehPFxJE3Afy7J+D/zoOGGMeQ1tRVQ+BIRD/3/B3N9LEo5sDDf9RRLkrmnO66o3l00YDnHLYORMKbJTUEYyxC2HZoPh0M8w90UZITcf4prkHVrfAZeS4Mx2SbxDPgRv36LXKaVcXGkjxljgMaCBMabgut9QoPxO8nmi9vdLgrxwWhKwMTD0Y6jZFk5vl+pl6z9zfc7hZXD+KFRtWPT1ql0jBXcm3S/TEgDbJsq25IJCakCL26DtPVLUPThSk69SJXSlEfB3wFzgDeClAucvWJZ11m1Rqd8mIFw+HHwD4brfOY93TXe93ttPGnJ6+0BMG7mx5uUjz6neTKYwHMnXITUJbv9MbtiFVIfrn5PvAzIVopQqsSttxEgGkoG7yyYc5VY9X4KjayAjb8lVvetgfIGidjf+SUay2ybCt3dAdGtJ6OnJzmvqdIZWw+Sjgtt7di+BPoHEhsXaHYryUFppxJPU7gDPbIe4FTLF8Hlf18c3fgkX42HdJ3K8fz7U7yFTC+ePyBRHz4o/7Z+alcrYhWPZFC9FiG5peAuvd38dY0pUwEqpUqMJ2NMERkCzQbKWN6fQbvKcTNheqP183Ep4JR5SToBfsHxUcFMPTM1PvgAzDs7gloa3aLcLVeZ0M4UnysmSqYg2d7me7zoWQgut3Q2pDt8Nh/daw1tN4KeK26DT4eTFkyU6p5S76QjY05yLg68Gy+oHjHQ/rlIPfAJkB11YTTh3WJabeftD/V6wLW//TW42rHofWgyFWu3tew9XqU/dPozfPZ7cvE1kBiedAAAgAElEQVQqQT5BXF/7epujUp5IE3BldXg5rP1Ydqt1e8LZgHP5W3nJF8CS2sBDP4EfH3E+NygShn8pZSkX/63oaycdrBAJ+MTFE+w9u5d21du5tBNqW70tH9z4ARP3TiTQJ5AHWzxIZGCkjZG6n5WbS+q69eBlCOrYEVMJultXBpqAK6P43dJWKDdLjvf/BI+tgar1ZYtwQVYubC9UUyk1UdoW+QbKTbiNXzgf8w3+dYV6bDJp7yT+vvbv5Fq5BHgH8N6N73FtzWvzH+9Ruwc9avcA4FDyIeYdnkeHGh2ICirfO/h+i9y0NI6MfID0bbKUP7BdO2K//AIvf3+bI1P6a7Ay2j3TmXwBstOdu91aDXe9tto1UKNF0deIWw5vXgNTHoToNlC7E1zTB+6bCiHlO0ll5Wbx7qZ386cY0nPSeX/T+xw8f5DHFj7G4KmDeWfjO2TlZvH1zq8ZMm0ILyx7gX4/9GPlicq3vyhlzpz85AuQtnkzF+bNszEi5aAj4MqouEI6lxLg4+tlbrfVHZBxAUKjISIWUs9Clfoy9wsyx7vmI/LbEp3eKlubHZs6ko9Lq/qkvNKXXR+TVRJzfw+ntsioud8bEGhPF+GsnCwuZV1yOXc2/SyPLXyMk5fkL4DPd3yOr/Hlm93f5F+TmZvJf7f8l+61updpvO6Wfbbonqnss+dsiEQV5tYEbIypA3wNRAO5wDjLst4zxlQFJgL1gDjgDsuy9F9EaWl5u0wrHFwkxw1vgFUfSIshkMI5d30HK951Ti94+cKgd6Fud0jcK0V7CjqzSz47Sl8m7Jbjo6tkGmP3TDi+Ts5t/V5u2N3+qXvf52UE+QbRt25f5sU5R3k9avdg4t6JLtetOLGC9Jx0l3PJGclUNmH9+5P40cdYqVLHwys4mLB+N9sclQL3j4Czgecsy9pkjAkFNhpjFiAdlRdZlvVPY8xLyDbnir/Cv7zw8Yd7psjWYr8gOL4eDi5xvWbrRGfCBJmyOLIKOj4o9Rx8g6HgKLJRH/mcuM+ZfB12/AinClVeO7i49N7Pb/D6da/TvFpzdp/dTbeYbvSt25eZB2eSmu0sJtSkWhNiw2OZe3hu/rnbG99uR7hu5Ve7NvW+/45z330PXoaqI0bgG6PbxssDtyZgy7JOIU09sSzrgjFmN1ALGAL0yrvsK2ApmoBLz85pMh1wKR6aDIBujxe9JqoRFMqj5GbJzbvDy6FaQ1malpUG7e+TimcAwdWluHt2mvN5VRvI9uazB53noluV+tv6Nfy9/Xmw5YMu517r/hqvr3md5Ixk6ofX59TFU4T6hTKy+UiSM5PpFtONAQ0G2BSxewU0aULMa3+xOwxViLEs68pXlcY3MqYesAxoCRy1LCuiwGPnLMsqMmFojBkNjAaIjY3tcOTIkcKXqMLSzsFbzVwT5HW/k7q/y/4PsjNkA8bg9+H7u5zF1P1CpGHnkVXO50W3hkeXy9ebvoFFr0kH5dod4fgGyMmQueP7fpQecj88LFuWa7SE4V9B5DVl975LKDMnk1UnV/H0kqdd1gHPvm12pV+KpspUifa1l8lNOGNMCPAD8IxlWSkl3XNvWdY4pPg7HTt2LJvfFBVdwl7X5AtwYhNENpIdcL5BUhfY2weuexbSzsv11z8Ps3/n+rzT22QEnHISZjxJ/k25Iyuh79/lZluNFtJ7rmoDeGqLVE8Lqlomb/W38PP2Y/3p9fnJFyA1O5Xlx5cztNFQGyNTnsjty9CMMb5I8v3WsixHQfczxpiYvMdjgPjLPV/9StGtIKBQJ4vACFj/qUwxZF6An/4oXTG+uRVOrJcWQj8+IiUoXV6rtawFPrmZ/OTrkLBbRswFW7l7eZXr5OsQE1x0/jMmROdEVdlzawI2MtT9DNhtWdbbBR6aAYzM+3okML3wc9Vv5BcMd38PNdvLfG2XsVDc5oJtk2QKwSE3C2LayyYL4y274Do8CPNehotn5FxBdSvuUq3bGt1G++rOnXyDGgyiS7QW4lFlz61zwMaY64DlwHZkGRrAy8BaYBIQCxwFhl+pwHvHjh2tDRs2uC3WSm3XDJh0n/PYeEO/f8LcF1yvu/UjaDtCvl77ibQicqjfE5KPSW3g9iOh95+l60YFtvfsXgJ8AqgbVtfuUFTlU6L/OcrsJtzV0gR8lVa8A+s+lWVpvf4AzW6BySNhzyx5vEYrqXwWHClzwxNGuK5q8PKFl47K85VSV6IJWJVAwl6p+VvwBlxQNUnG8QXWqfkGw+8PyxpjpdSVlCgBay0ITxfVRDZqFJSaBI36us77Xve7Sp98T1w8QXq2c2fc2lNr+cuqv/Dx1o8r5Q45ZT+tBVFRbP5WtvgGR0HPF4uuWChO0kFY+a7Uemh3LzTpL1XO9sySusBNBsjytIg6RZ/bchi0u086J8e0kbW/5+KkbZFlQYeRsvSsgph1aBbT9k8jzD+MMa3H0KRqk/zHTlw8wROLnuDA+QOE+oXyardXCfAO4MnFT2Llrf5YfHQxEwdN1LZFqlTpFERFsHMqTH7AeRwUKb3dfmk+NvMSvN9OVjA43PsDbB7vrPPg5SubKGq0hK+HyLpfDHQeDQP+LfUfstKk9u/FM/BhV9noAdKs87E1UsC9nFtydAlPLXkq/zjML4z5t88nxC8EgBd+fsGlbkSoXyjtqrdj2fFlLq/z/cDvaRnZsmyCVhVd+dmIoa5S4XbyqYkw/XHo8qiz0Hphh5e5Jl+ADV84b7qBLD1b/V8YMRHGLJPaEYFVpELapJGwa5pcV6sDNBvsTL4gqyG2T4HuTxV4vVyIWwaZqXBNb5myyLwEWyfAhdNSZa1G89/+c/iNFh5d6HKckpnC2tNr6R3bG4CDyQddHr+QeQE/L78irxPqF+q+IJVH0gRcEVSpV/Tczh9lJDvsc6jZFmY/Jwm0fk8Y+BaEFrOxIKR60XM52bD8bTi5CepdD50elkI6juQL0qooopilWv4hzq9zc2Rjx+G8UWPVBvDQTzDxHji2Vs6teAcemAWxXUv81ktD7ZCi5Tl3J+3mwy0fEuATQP2w+uw/tz//sYbhDXm87eNsOLOB8xnnAbi90e26XE2VOk3AFUG3J+HQ0rwdaQVZ0nYoO12SL0hiNl4w7DPZSOEoNxnVFHq9LG3nHaNgLx/phLzoNTnePVPW+kY1LRpDcJRMVZzZkfd6zaS4e2aqTIUcWOhMvgBnD8GSfziTL8iIe/2nZZ6A72l+DytOrmBbwja8jBe9Y3vzybZP8h/faXZyZ+M72Ri/kQbhDXimwzPUCa3D3NvmsurkKqKDo2kd1bpMY1aeQRNwRRBcDUYvlUI5XwzEuacFwDiTr8PhZZIQzx7Kmz64Ba59SrYKD/9SqqWdi5MSk/+70fW5WyfA2NXgHw6OO//GGzIvyrxvi6HQ9BYZdY+/XRJs1YZFO22AFH8vzMv3t/4UfrMwvzC+HfAtB88fJNQvlC92fOHyeI6VQ7NqzXil2ysu50P8Quhbr29Zhqo8jCbgiqTutdDpIRlFgoxgezwP816SIusOkY3guzulKDrIyLlBLxn9rnhHRr3dHpNaD0HVpGylQ3AUbPhcVllkp8l8cFoybPnWeY1fCOz8wTm6PXtQHg+p4Zx39vaX+eG0s9KTzvG8rmPd8ZMpkYYRDQG4JqJolbZrqpS/ym2q8tNVEBWNZcGhJZCwT0aw1RrKHO2PYyBpv/Ruq99Duh8X1Hm0JFZHUsbAQ/OlfOS0x2R6wCcQ6nRynUroOAo2fVXgeUgiDYiAlOOu32PMctgxRaYl2t8vxXpysmHfPLhwStoXlYNVE1m5Wfxp5Z+Ye3guPsaHB1o+wJPtnrQ7LFW56E44j5N5SYrx7JkDE+52faz1XbBtguu57r8DKxu2/yAV0/q+Dt/d4Zps/cMhqIpMWThUby5rg7d+X+BcC3isQC3hCiA5IxkfLx+CfYPtDkVVProTrtLKzYWl/4QPOsJXt0i9X5DkC9C4H7S9h/x/Ay1ug1bDir7OucPSK+7CSYjfBVPHyDRCQWE1of+bMuoFScj93pCPVsNlCqNBL7jjaze8UfcK9w/X5KtspSPgimjNRzLv6xBUDZ7eDiveljKTodHQ5zXpVpF2Xvq1+YXA4Z9lLbCVK8kz5SQcWeH62je9Jh2Ps9Ol/sOd38ia3vQUSNgjo9+Cy8+UUsXRjRiV1gHXjQWkJsHiv8Haj+Q4+ajchHt4IXwzxHljrE5XeG6vfB0SBfP+4JqAfYOgwwMyf3tmh0wrnNoMR9fI0rE6nZ3Xpp2DbZMlUbcaDmExcDEB1o2DSwnQ+k6o281tP4KrNXnfZL7f8z2B3oGMaTOGHrV72B2S8kA6Aq6IfvoTrHrfeeztB3Wvg0OFOhG3HA47Jrueu3uibDneOU2mFzJSZDVDYBWo1wPqdYc2d8s88Gd95cYeSHGeuyfKUraMi/DxdTKFATICf2SxtKt3XG+84P7pckOwnFlxYgVjFzpXY/h4+TDz1pnUDi26YUOp30jngCut65+VHW8gc7ID35JiOQV5+TrnhAvaORWW/B3id0pDzuQTsjstMw12T5ci7F/0l6VuSc7dYez/SVZfAOyZ7Uy+ICPwn//ter2VK408y6GVJ1a6HGfnZrP21NrLXK2U++gUREVgWfDzv2DLd7JO96ZXocsYCKslqxFa3yVre09vlyVfjhUNtTrA9knODRFV6sO5Qp2lU47D2nGQ4yzDyJkdcm1hqXlNS0wxv7d9A4qeCyzQm27HD1JJLSAcrn8Oarb7VT+C0tSoSqMSnVPK3TQBVwQbv5QbYyDrdsffLgkXYOt3cGIDDB0HDXrKlEJUM2h0s8zzDv9KSlIGR8HN/4Dl/wfHVjtf2yeg+Eaa1/SWZJ6bJcfBUdA4b1dY04Gy2SMxb8QbXB2ufwFSz8lWaJDVFN0el68PLIQpDzlf+9DP8PRW2xp4Dm44mPWn1zPn8Jz8dcC61VjZQRNwReD409/BkXwddvwgI9Zl/5bjIyvl5lm/f8LEe53NN1OT4PbPZOvyiY3gFyrLyepeK3PC6VJ4hrrd5WZcdCvY+JWMbrs9LqPXffNh9vNSMyKmrdyAa3OXtDIa/oWMzC/GQ8Mbnaslds90jTcjRQr+FLc0rgz4evnyxvVv8FLnl/D18iXIV9ssKXtoAq4IolsVLUlZkLe/zMsWdGKjVDkr2Pk4brms+b1/OpzZDdEtnPPET6yXRBkYAU0HS8PN5GOwf74k1OQTMtc8ZZS0tgc4tUVG3cGR0r7oxCZZLRHbFXKyYNmbMtrNzSkac9VipjjKWLh/uN0hKA+nCbgi6Pq4jFp3z4KAMJnz3fiFcyTc4zlJfvE7nc/xDZbphcJ2Tod1n8i8cJ2u0sI+qCocWycJ+8IpKbjT568wdazUgwDYO1tGtI7k63B8I6z7H8x5Xo6NF9z2P/kFsOZD53WBVWTpmvGCzmNkflopD6cJuCLwC4I7x8tmCJ8AWW3QZgQk7JYC5zFtJBGe2AQXT8uytJv/LrUY9s1zJtG618HqD5xbjY+tkZoRPZ6HHx52XrdjiryG49gh5aTUgHBMVYBMXyz5u/PYypUylJmXXJ+bdh5G/yw1ictBPQilygNdhlaR5GTCp73ho2vh0xtlKViNljDjSfi8ryS59vfDs7tlpDz9SbkZ1uwWKdze80XXOg8Aifuk9VCRZHtCkm1BDW+Eu76VKZGAcJkn7v60FN8pKPNi0T5zIdWl+pomX6XyaQKuSFa9n9e3DbByZO3tqv/Apq8lseaky9cHFsuINn4nnI+D3TNks0SdLrKaoaDYrtI6yD/M9Xz9HnD3BJkqCI6C2G5SLa1GC3h0hayuOBcnxXsKb7bo9DD0/TsE5q1y8A2C/v+WTRxKqXw6BVGRFKxIBoAlS9AK2ztHpgIKOrRUiubcNxUWvy4jXL9QWPQ34K8Q2URGpxdOSUfka58CHz9JtJ/0gKOr5WP9OLjjG/h2uHOJGkCPF2SdcL3roOVtcu7ZXXB6hyxZCyw0mlZK6Qi4Qml2i+txcHW5IVeQ8Zb284VFt3J+HjERhvwXjq6CvLbrJO6VxDvoHVkt8X47Kd6+5Tspqu5w9lDePHKW6+tbuTDobUm+liUj8R8fkVUU2spdqWLpCLgiaTVMit9snSBzu+3vg0uJ0ONF2WLsGyBfN79FOmSsyrvhVrOdrKDIuChzxMYUM5pGpjeW/sM5el74F0nKhYUU0/CzWoGOEqvehwV/lq93z4Tj62Xpm1LKhSbgiqbdvfKxZ44Uv8nNAgwMeBM6PwJZ6XByi9wcu/45qfG7axocXye71FJOwg1/kFoSAeHSXt4hNKbo1IVPgIy0HW2LIpvIdEP6ORnlWrkyB3zoZ4hbKRsxthYq/H5oqbSlD412509GqQpHE3BFtfj1AtMAlpSjrN4cJt0nO978w2DIh3IDrqDN46HTKNg7F254RXbNpZ2TkXFkY1kjXFC966S28M6pkoz9QqTVvI+/zAUHRMC3t8vIHOS6mFaur+EbDP6hbvkxKFWRaQKuqAqOXEHW3c57SZIvyHbfeX+QRFxw3a5fMHzQQR4HaDIQRs6Ao2ulZ1z9nnByE2RnyJzziU1S5KfTKFnm9tlNzlHyoaUy6s4uUMgn6xLEtJedcenJsvGi95+Lr8ymlIfTBFxRdXgAlrzuPG59F+yZ5XrNhRMyNTHnBUmaPoFSQS1xr/OavbNh83cw4wlZ2gYQHis75D7rKwkVpOtx6ztcpyiy02VqobA6HeHGl6XOcGSTomuClVKAJuCKIydbbmZ5+8pNtZ4vQJW60mYopq0kZC9v6WDsENsN9v0kmzXqdIZef5B6v4XtnuFMviAdNVZ94Ey+IKPotHNFn9tiKJw/6mxRX7+H1JLw8YNrbnJel7hf5olju0J0y6v6UShVWWgCrggunIbPb3auXPANkiaYLYZKDYdFf5MC6r1flU0TcStkw8S2Sc7aDae3yfRCx1FS2MexI65me2ltX1hwZNFzDW6U7dD75wNGqqB5+Ul35YAwmReOaSuPp52DJgOkzsTMZ6R2hUOzW6TXnFIeTlsSVQTz/wir/+N6zj9MVjos/pvznG+QbEMOjJDlXxPvdX1O67ug40Oytjc1UW6wtbtX5mo/6yubMwCaDoKhH8NnNzsL/EQ1hRqtZKlbs8FQtaGs8z2Z15G5enN4cB5MuhcOL5NzQdXgtnFSv7iwh+bLaFipykmbclYaKSeLnstIkZtgBWWlSonI6NaypKywzEtSM8IhrKasTvAPhSc2SI3eoKoyOp7+uIyiO4yUke3s56UrMkjt4Jv+7Ey+IG3tl77hTL4gNwQ3FpgSKejCqRK9daUqM03AFUFxnSPC60oTzbjlznM+AdJeaO+cvEad18Kx9bJcrd71UninoA1fyLRF8nEZBTcZAKe3wv96O+eE986VJWoFd75lXoAjq4rGVHC1hUNglaLrjQFqdyrZe1eqEtMEXBEUNwJu2h8a9ICzB6UjRkgNuem16Ut5PCdDkuR9U6FqA6hSDz7q7voaxkvmZx2dk2u0lG4YBW/IZV6AS2eKfv+GN8kI3HFjzi9ENn6c3OwcKXv7y5RH5iUpcVnQsXUQrl2IlWfTBFwRnD9a9Nzaj+Wj+RB4JV4qjc15oeh1545Kkty/QJLh7OfIr//QbLBr2/ozO4ovF9n8Vjh7WIqsgyT6mNYw6D1ZmWHlyJbl/T9B/euh4Q2y5C26Ncz9vetUhYO2AVJKE3CFULAYTmG7pkuVsnrd4Zo+sG6c8zFvP9kufDIvcQaES2H3swdltJuRUnRkGlwdaneWrcsgUxc128PDi2SpmbefLFH75Hp5PKYN3D8DvrlVRr8AXj5w748w7THpulyczIu//uegVCWj1dAqgsimv/y4o05D475SzaxGS6n9e8MfnckXZB42brnU+N01HU5sdtbsBcBA2xHw8AK481u5kRe3HN5tJZXRYrtCxgVn52OQVkmL/+ZMviA38Vb/5/LJFyCqSYnfvlKVlY6AK4Jb3pf524zkoo8FR7lueMjNkbldH38ZiRZ2Lg6+HET+NEREfWkzf2andNxY+7Gsitgz27lSwcqRtkNt7yl+9UJaMXEFVZMPx9ZoB29/uO53zvKYSnkwTcAVQUQdeH6fjEaDo2QUuvkbaUl0MV6Ko9/wR5mqcDTHBFkBEdVMeseBzMvmZJKffAHOH4Yq98rrgcwDH14m63oLys2WfnON+rr2hTPeUgEtO825Fdo/XNYot74DZj4tc9gNb4S+b0B4jEyFKKU0AVcYvgHQqI/zOOWElJoEZ2ugpgNdn5OdBt2fci4z6/hQ0Q0dAMcLbXBJPw/Vm+UVbM8T2VgS5/w/QkQseDWQzx0fhDqdoN8/IboNBIZDy9tlJ131ZvD0Nins41tMh2alPJwm4IrqwCLX46zU4qcctk6Ew0sBI6shrntOirM75o1b3ym72vbNdX1ep1FQs61suqhSV5aYfTPUdS1xi6HS5mjzeJjxlExV+AZJsm54g1xjjCZfpS5Db8JVVDUKTRFgoPMY5yjZ219qLhxemve4JRXNzh6QBpk1O0Cjm6W4epcxsvIBZEqh+zOy9fhcnCTc09vh8PKiGzl2z5QiQT/9ybl2OCtVOmkopa5IR8AVVecxMnWwZ7bU2o1uKduMvf3gumflRteqD4oWZN83T+r+OpzYCE9vhb6vw9oPIbgGdB0L6/4Hy9+Sa5KPQfweubGXneF8btX6MqdceAfcpQT3vGelKhkdAVdUfkFw17fw4iEZ0R5dI8kw8yKseFtGq036y4oIBy9f6SFXUGqirB3+or9MN6z7BD7rI3UhCsq8AB0elO3OILvY0pNh+mOyVrigNneX/vtVqhLSEXBFF1RVCuEUdmqLLE8b8Kas+fXykVbzR1cXHRU7drM5nD/qnJJw8PKVkXWvl2TkPeFeSJ7nfKzrY3Kzr0FP6PBQ6b5HpSopTcCVQf0erqsbjBfsX5i37RhJxHd9J1MIVepJk86EvK4Y7UcWvyys/f2QlSaFfQKryHWbv5Ei7wl7IadAG6LcLNnQ0e+Ny8eYmQoHFsr3qt9DW9UrhSbgyqHxzXDzG7KJwjcQGveDle86Hz+wUDoVJ+yV6YbcbLkB1/dvsiMt+YQU9HHUA67ZHrZNlGpqg9+XLhuL/+p8veKmGIqrIeGQckqmNZKPyXHD3nDvD5qElcfTBFxRHN8gHS6Co2SJWFBVqSiWkyWj0m6PyQfIDbTC4pbB9gJ1H/bPl40SkY1l3vjhRVI059BSSdKOAjrH1rrW+AUZXTfqK8V3QEa0rYa5XnNktXyPyMaQeMCZfAEOLpLXbNDzqn4kSlV0moArgriV8NVg5zzt9kkQEi1JFWTE+sAsZ+fhRn3lZpmjW7HxkusLO7YOlr8tXS98AqDP36RvW0G7Z0q7IRcW3DMZTu+QmGLa5JWlNNILbvsU+GGU8/KqxbQ8KlwfWCkP5NYEbIz5HBgExFuW1TLvXFVgIlAPiAPusCyrmG6P9snMzuW1mTuZseUk0eEB/GlQc3o0jrIvoE1fu94kS9znuib35CaZYsi4AKv/KzfcOj0sJSRzMmWdb0QsrPmoaPNNR8uh7HT46Y9FazT4BkLXx2HpP5zn2o6QhBvdUnrEfTtcRsMBEXDz32Hjl66vcfagNBPNySvqHl7HtX6FUh7K3cvQvgT6FTr3ErDIsqxGwKK843Llf8sP8e3ao1zIyGZ//EUeHb+RlPSsKz/RXfxDr3zN0bWw8FXZ4XbhpNyU6/EcjJgEIdXlJtmd30CtjjJiHfoJZBQqCZmTCW1GOJeagax66PV7uH+6rKKoUg9WvQ//1wTWfCxV0hxTEennpcB74XZYxhtGTIFOj8D1z8OoBbKMTikP59YRsGVZy4wx9QqdHgL0yvv6K2Ap8Ht3xvFrrTvsWn83NTOHnSdS6Nawmj0BdR0LO6fKml2Qur/H1ko9X5Bdb36BRZ+3dy78OAaS9stSsZtehUfytjBfOC1rggu2NIqIlfb2zW+BIytlU0fcSlj8urObsqMzc04G/PSK3KgrKDcLmg6Q8pSONkadRkHDXvKhlMpnxxxwDcuyTgFYlnXKGFP9chcaY0YDowFiY2PLKDxoFxvBz/ucu7kCfL1oHlN4HrQMVWsIT22WkWZIddn4kLBHVj3kZEOnh6QqWuE//U9vl+QLkgwX/kVaCc16Bo6tAb8w6WRx/oiUsczJhAl3Q8+XILIJ/O8G5zzylu9k51tBuVlSe/hwgXnjgAjoPFq2QR9YBFGNpV6EUqqIcn0TzrKsccA4kLb0ZfV9H+3ZkCNJqczadpLqoQG8Org54UG+ZfXtixcQ5rrSoHozGPye6zU9fw+rPwQvb+jxvLQhKig3G35+Q5IvQGaKbGUe9DZMGyvnzuyQXXWt73QmX5Alag16ASuc58Jj4aa/yHTC9skQVivvOFh+aVQr5uabUiqfHQn4jDEmJm/0GwPE2xDDLwrw9eadO9vy9h1tMBVpreoNL0OvPzjX1/oGuY5Oq9SHi4XqNGSnwY6prucyUopvg9RsiIx4d/4o0xW9XpZVDze+Ih9KqV/FjgQ8AxgJ/DPv83QbYiiRCpV8HQrG3GkUYEmNh4hY6PmizCUXrPMbWhNqd4ADP7m+TsdRUtA9Oa8haN3roNFN4HWzc72xUuqqGMty31/2xpjvkRtukcAZ4FVgGjAJiAWOAsMty/qFrpOiY8eO1oYNG650mbqS3Bz4+V+SiCPqQp/XJDlPGCGbI7x8pfbvDX+Q7cP7fwL/EGhwg0xtAKSelZUZ3jZPyyhVfpVo9ObWBFyaNAGXgXNHJLEGVS3+8UuJMGkkHFkBQZEyd9x8SNnGqFTFUKIEXK5vwtklKyeXf8zZnb8R448Dm3Ftw0i7wyo9p7dLrYegalJkx5Fwq9R1ve5cnNSICAiXm3JL/i7JF2RJ3LTHpNdbSdYpK6WK0ARcjM9WHOaLlUHTNU8AAAi5SURBVHEAJF3KZMzXG1n9cm9C/CvBj+v4RviiX15zTmQH3aMr4ewhWckQVFV2uqWcgk97S50IgA1fyK64gjIvSpLWDsdK/SaVIKOUvjWHXFupX8jIZvvxZPs2YpSmTV86ky/IeuKNX8o2ZMeys03fQL3rnMkXZHlay+FSO9ghrJZ0XVZK/SbaEaMYrWu51sf19/GiaXQl+TPbN7jouYOLXdf8xu+ElJNFr2t1O3R7Qm7aNegFIyaCt/4OV+q30v97ivFor4YcTLjE3B2niAzx59XBLagS7Gd3WKWjy2ipppaaN8pv2Bsi6hS9rvlg2abs6PdWq4NUWWvSXwruKKWumq6C+AUZ2Tn4eXtVzPXAvyTtHOydJzfhrukt87if9s4rKYms+X1gFlw8I/UfAiJktUNOphT8iVsBNdtJI8+Qy+4kV8qT6SqIq+Xv4213CO5hvKWOw8XTkHlJtgw/sQH2zJKqaU36S7Ld+KW0o6/ZFpr0gzkvwrYJ8hqJ+yRB319u99EoVe5pAvY0aedhXE9nVbNl/wdjlkFwpFRCc5jzgnTGAFl6dvaw6w46kO4Z2RnSa04p9atpAi5Gbq7Fu4v2M2PLCaLDA3ipfzPa1omwO6zSsWOKM/mCVELbMUVGwpu+kWVoN74iO+UK2jsH6nSWMpgOVRto8lXqKugqiGJ8tTqO9xftJy4plTWHzvLAF+tIy8y54vMqhNxi3sex9bDgz1K68tha+PaOok02Q2Ng4FtSkB2kxdEtH7g9XKUqM03AxShYCxjgfGoWW4+ftymaUtbydtf+cCHRUhGtoOw0qecbmLdDzjcYBrwpGy6e3AzPbIff7ZS1wkqp30ynIIrRNDqMpXudSdjX29AwKsTGiEpRcCQ8ulx2wAG0uQu2fi+rHfIZaDEUuj0OZ3ZBZCNnY04vL1kHrJS6apqAi/HYDQ3ZeTKZ5fsTCQvw4ZWBzYkKrURznSHVoftTzuPOo2WH2+68zso3vOwspl67gz0xKuUBdB3wLzh3KZMgf+/KuxytsLRz0pCzcM0HpdSvpeuAr1al2f1WUoFV7I5AKY+iN+GUUsommoCVUsomOgWhxJbvYPN4mYbo+SLEtLE7IqUqPU3ASlrTO9rSg1RBe2a7dMJQSrmNTkEo2D3T9Tg9WYrwKKXcShOwkpoOJTmnlCpVmoAVdBkDdbrK18Ybrvsd1Ghub0xKeQCdA1Yy1ztqPiTul6+1yLpSZUITsHKKbGR3BEp5FJ2CUEopm2gCVkopm2gCVkopm2gCVkopm2gCVkopm2gCVkopm2gCVkopm2gCVkopm2gCVkopm+hOuMvYcSKZ2dtPERMewLAOtQny0x+VUqp0aVYpxuqDSdz32Vqyc6Vh6YwtJ5ky9lqbo1JKVTY6BVGM8WuO5CdfgA1HzrHt+HkbI1JKVUaagIvh51P0x+IxremVUmVGE3AxRl1Xn2A/Z8Lt1yKaJtGhNkaklKqMdA64GC1rhbPk+V4s2H2GmPAAejXW+rhKqdKnCfgyqocFcE+XunaHoZSqxHQKQimlbKIJWCmlbKIJWCmlbKIJWCmlbKIJWCmlbKIJWCmlbKIJWCmlbKIJWCmlbKIJWCmlbKIJWCmlbGIsy7ryVeWAMSYBOGLDt44EEm34vnbR91u56fstG4mWZfW70kUVJgHbxRizwbKsjnbHUVb0/VZu+n7LF52CUEopm2gCVkopm2gCvrJxdgdQxvT9Vm76fssRnQNWSimb6AhYKaVsoglYKaVsogn4Mowxnxtj4o0xO+yOxd2MMXWMMUuMMbuNMTuNMU/bHVNZMMZ4G2M2G2Nm2R1LWTDGxBljthtjthhjNtgdj7sZYyKMMVOMMXvy/m13szumwjQBX96XwBUXUlcS2cBzlmU1A7oCjxtjmtscU1l4GthtdxBl7AbLstqW57Wxpeg9YJ5lWU2BNpTD/9aagC/DsqxlwFm74ygLlmWdsixrU97XF5B/qLXsjcq9jDG1gYHAp3bHokqfMSYM6AF8BmBZVqZlWeftjaooTcDKhTGmHtAOWGtvJG73LvAikGt3IGXIAn4yxmw0xoy2Oxg3awAkAF/kTTN9aowJtjuowjQBq3zGmBDgB+AZy7JS7I7HXYwxg4B4y7I22h1LGetuWVZ7oD8yzdTD7oDcyAdoD3xkWVY74BLwkr0hFaUJWAFgjPFFku+3lmX9aHc8btYduMUYEwdMAG40xoy3NyT3syzrZN7neGAq0NneiNzqOHDcsizHX3JTkIRcrmgCVhhjDDJXttuyrP9v735eZYrjMI6/n7CSLCSRYncXRm6NneUtaRZW148FpawsbJU/AMlNIpZWZKnklh8lopSVwVXXxoIuf4G7UB6LOZcp7Mx8OPO8amo6M1PPWczTt9P5fs7F6jyjZvu07a22twOHgUe2jxTHGilJayWtW3kP7AVae4eP7c/AB0lTzaEZ4G1hpN9KAf+BpFvAc2BK0kdJx6szjdAe4CiDleDL5tWrDhV/1SbgmaQ+8AKYt32vONOonQRuSnoFTANni/P8IluRIyKKZAUcEVEkBRwRUSQFHBFRJAUcEVEkBRwRUSQFHBOl2ZI6CYOG4j+Q29AiIopkBRyt1ez+mpfUl/RG0iFJjyXtlrR/aNPJoqT3zW+6kp40A2vuS9pcfR7RXingaLN9wJLtXbY7wI+dX7bvNHNxp4E+MNfMw7gCzNruAteBMxXBYzKsrg4QMUKvGRTreeCu7aeDsRc/SToFLNu+KqkDdICHzfdWAZ/GnDkmSAo4Wsv2O0ldoAeck/Rg+HNJM8ABBoO7AQQs2P7nHl0T7ZRLENFakrYAX2zfAOYYGkcoaRtwDThoe7k5vAhsXHl2mKQ1knaMOXZMkKyAo812AhckfQO+AicYFDHAMWADcLu53LBkuydpFrgsaT2D/8clYGHcwWMy5Da0iIgiuQQREVEkBRwRUSQFHBFRJAUcEVEkBRwRUSQFHBFRJAUcEVHkO8JfZqnz5rtUAAAAAElFTkSuQmCC\n", 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" ] }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"size\", y=\"tip\", data=tips, x_jitter=.05)" + "sns.catplot(x=\"size\", y=\"total_bill\", kind=\"swarm\",\n", + " data=tips.query(\"size != 3\"));" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "A second option is to collapse over the observations in each discrete bin to plot an estimate of central tendency along with a confidence interval:" + "The other option for chosing a default ordering is to take the levels of the category as they appear in the dataset. The ordering can also be controlled on a plot-specific basis using the `order` parameter. This can be important when drawing multiple categorical plots in the same figure, which we’ll see more of below:" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"size\", y=\"tip\", data=tips, x_estimator=np.mean)" + "sns.catplot(x=\"smoker\", y=\"tip\", order=[\"No\", \"Yes\"], data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Fitting different kinds of models\n", - "---------------------------------\n", - "\n", - "The simple linear regression model used above is very simple to fit, however, it is not appropriate for some kinds of datasets. The `Anscombe's quartet `_ dataset shows a few examples where simple linear regression provides an identical estimate of a relationship where simple visual inspection clearly shows differences. For example, in the first case, the linear regression is a good model:" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "anscombe = sns.load_dataset(\"anscombe\")" + "We’ve referred to the idea of β€œcategorical axis”. In these examples, that’s always corresponded to the horizontal axis. But it’s often helpful to put the categorical variable on the vertical axis (particularly when the category names are relatively long or there are many categories). To do this, swap the assignment of variables to axes:" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'I'\"),\n", - " ci=None, scatter_kws={\"s\": 80})" + "sns.catplot(x=\"total_bill\", y=\"day\", hue=\"time\", kind=\"swarm\", data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "The linear relationship in the second dataset is the same, but the plot clearly shows that this is not a good model:" + "### Distributions of observations within categories\n", + "\n", + "As the size of the dataset grows,, categorical scatter plots become limited in the information they can provide about the distribution of values within each category. When this happens, there are several approaches for summarizing the distributional information in ways that facilitate easy comparisons across the category levels.\n", + "\n", + "#### Boxplots\n", + "\n", + "The first is the familiar `boxplot()`. This kind of plot shows the three quartile values of the distribution along with extreme values. The β€œwhiskers” extend to points that lie within 1.5 IQRs of the lower and upper quartile, and then observations that fall outside this range are displayed independently. This means that each value in the boxplot corresponds to an actual observation in the data." ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'II'\"),\n", - " ci=None, scatter_kws={\"s\": 80})" + "sns.catplot(x=\"day\", y=\"total_bill\", kind=\"box\", data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In the presence of these kind of higher-order relationships, `lmplot` and `regplot` can fit a polynomial regression model to explore simple kinds of nonlinear trends in the dataset:" + "When adding a `hue` semantic, the box for each level of the semantic variable is moved along the categorical axis so they don’t overlap:" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'II'\"),\n", - " order=2, ci=None, scatter_kws={\"s\": 80})" + "sns.catplot(x=\"day\", y=\"total_bill\", hue=\"smoker\", kind=\"box\", data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "A different problem is posed by \"outlier\" observations that deviate for some reason other than the main relationship under study:" + "This behavior is called β€œdodging” and is turned on by default because it is assumed that the semantic variable is nested within the main categorical variable. If that’s not the case, you can disable the dodging:" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'III'\"),\n", - " ci=None, scatter_kws={\"s\": 80})" + "tips[\"weekend\"] = tips[\"day\"].isin([\"Sat\", \"Sun\"])\n", + "sns.catplot(x=\"day\", y=\"total_bill\", hue=\"weekend\",\n", + " kind=\"box\", dodge=False, data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In the presence of outliers, it can be useful to fit a robust regression, which uses a different loss function to downweight relatively large residuals:" + "A related function, `boxenplot()`, draws a plot that is similar to a box plot but optimized for showing more information about the shape of the distribution. It is best suited for larger datasets:" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'III'\"),\n", - " robust=True, ci=None, scatter_kws={\"s\": 80})" + "diamonds = sns.load_dataset(\"diamonds\")\n", + "sns.catplot(x=\"color\", y=\"price\", kind=\"boxen\",\n", + " data=diamonds.sort_values(\"color\"));" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "When the ``y`` variable is binary, simple linear regression also \"works\" but provides implausible predictions:" + "#### Violinplots\n", + "\n", + "A different approach is a `violinplot()`, which combines a boxplot with the kernel density estimation procedure described in the distributions tutorial:" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 16, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "tips[\"big_tip\"] = (tips.tip / tips.total_bill) > .15\n", - "sns.lmplot(x=\"total_bill\", y=\"big_tip\", data=tips,\n", - " y_jitter=.03)" + "sns.catplot(x=\"total_bill\", y=\"day\", hue=\"time\",\n", + " kind=\"violin\", data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "The solution in this case is to fit a logistic regression, such that the regression line shows the estimated probability of ``y = 1`` for a given value of ``x``:" + "This approach uses the kernel density estimate to provide a richer description of the distribution of values. Additionally, the quartile and whikser values from the boxplot are shown inside the violin. The downside is that, because the violinplot uses a KDE, there are some other parameters that may need tweaking, adding some complexity relative to the straightforward boxplot:" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 17, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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UC2BjoeoTH4ppKWSs54DXSU82MsHCNC00h4rHpZHoi0jIPAZ7nBqJtIFumCPWMDBNBlpBuv3+TIRDJJ6242qNU/eR1k26wkkcWv+PQEZMoT9cLbe+gKL0pROjjOirNUyLZMpEVSBlGMQTOppmW61OTWXDzvaseDz0TCuJlEEsoWOYJoZhZS1lRbEt2bNm1WerpsWTOkZf6rOmKei6nYWmKMqAKIYMw4XnOTSVVE4ssmna8cfhWIrW/Z0j3pSZJ5BcvG4HtX7XgCcV6L+5R+sHzBVRr7s/UWKoYjqlFo7hBP6KC2YW5XjF5ExCCUtN1QtuMS2FjLU62GJx9lXvyojtQGwRcGgqCf3UleyRUHMqho0k2Ipip/EaBtnH9Ix6ZpInNAY+trucGqm0gcOh9qUV28KXiQc2jP7IAqtvg2la2cSF+hr3KcVhMuenxu+0i96o/THCChD0OTncHuXcvgWxrfu7cLk0XA416zZxaCoNQReaNtBVAcOH5wW9TtpzUpgzZynodWbHNtxNWcwnojMV0VIKx3BjW7VoUlVXCys1VS+4xbQUcq3nXIulpd477I2b0i1uu2wua99tY9ehnmH3PVR5A1VV8HvtxbeOnng23ncwloW9eJfZF/0ptCr9PtTcx/Sg10mY/kWHRFKnozeRLQupacoAX7GqKJhYODV74Whg6cWBhWV8Hid1QYvO3kTW0m6s9WTP1+GTEe69aVk2EeSUeSsKt3xizmmvYeZ4HrfD/mHpC7VTFSUbCXA64Sy277Scra9yHlu1UPWCC8X7Io1kPb+1+diwN25mPP/46w/ZdbjnFH+pgm1x1vld2dAmh6YS9DqZNTnIvTct6yuOs5VEUh9SpBTs6mCZQuKG0e+XDficxBP6gMd0j9vBJSumZP2vsyYHuWTFFDbsbOdYZ9TOCKNfwHIZ7F/NLSyT+wit9UUn5NamhVMFeqRzNhK5x3M5tewPUu7xTiec5b7oIlQ2E0Jwi8XprOfT3bhrLp7FoWcipNJ2DQIL29ca9LuYXO8lkTYHCFPu55fNaeTaC2ey9p22AQkLudW1agOubInGFLbftb7Gw6yWANMnBbLiOpLVP3tykF+8sINIPI3ToWEY/XVsnQ4Vy+IU/+rgwjIf7Ozg0IkwAa8Tp6aeMqehBHq4czYSudcjkTLsYuZe54DjnW5f5b7oIlQ20vGhiPSHFw1/4z7/7gFefO9gX3aWXaTb63Zw22VzgdPf+JniLm3Hw6R1E4dmJzqkdPOU9jVj7XQwXCeHOZODLJ3beFrhziwqjab1z2jO2ZmMuxTCWc1dEap5biAtdkakWi986/7OrBVYyIpWhRSbfPaX+6UulQiWkmoWpWqeG4jgjohc+MqkmucG1T2/ap4bTIDUXkEQhImKCK4gCEKJEMEVBEEoESK4giAIJUIEVxAEoUSI4AqCIJQIEVxBEIQSIYIrCIJQIipGcGOJ9Ij1YwVBEMqdihHcUDRFe0+c3kgy2xFAEAShkqioamEWEE8ZxFMGTk3F53HgcWl280NBEIQyp6IEN5e0YdIbTRGO2bVWfR4HmloxBrsgCBOQihXcDKYF0YROLKHjdmn4PQ6cjlPbsQiCIIw3FS+4GSzsbrSJHHfD4HqwgiAI40lVPoNn3A3tPXFiiTQVVIFSEIQqpqpNQMO0CMXSROJpfB4nvr7mgoIgCONBVQtuBtOyW5hH42m8HgcBj1OEVxCEkjMhBDeDBcQSOvGELsIrCELJmVCCmyErvEkdv8eJ3+OQWF5BEIpOVS6ajRarz9XQ3psgltDHeziCIFQ5E1pwM5imRSiWoqMnTjIlacOCIBQHEdwcdNOiO5KkK5QgrZvjPRxBEKoMEdwhSOkmnaEEvdGUVCgTBKFgiOCOQDyp095rJ08IgiDkiwjuabAsCMXSdPTGSaXFvysIwtgRwR0lumHRFU6Km0EQhDEjgnuGxJM6Hb1x4kkJIxME4cyoGMEtpwI0pgW90RTd4SSGKdEMgiCMjooR3K//0+s8tW4fnb2J8R5KlmTaoKM3IYtqgiCMiopJ7U3rJu/vOMkHO0+ybE4Dl62cxtQm/3gPK7uolkgZ1AZc0nVCEIRhqRjBndLo51hnFMuCLfu62LKvi0Uz67j8nGnMbAmO9/BI6SYdvQmCXhc+T8WcVkEQSkjFKMP9X7mItzYc4g8bj3LoZASAnQd72Hmwh/nTarl81TTmTKkZ1zHa1m6KZNqg1u+SSmSCIAygYgRXVRTOmt3A4ln17DsW4g8fHWHvkRAAe470sudIL3Om1HDFudOZO3V8hdf27cap9btxu6S/miAINhUjuBkURWHe1FrmTa3l4Ikwr390hJ0HewDYfyzEz57fxtypNVx53nRmTx4/4TUt6I4k8XkcBL1OKf8oCELlCW4uM1uC3H3tYo60R3jtwyNsb+sGYN/REP/67DYWTK/lqvNnML05MG5jjCV00mmT2oALhyYLaoIwkalowc0wrTnAXdcs4kh7hFc3HGZHn8W7+3Avuw/3smR2PVedN4OWBt+4jC9tmHSFEtQF3Lic4mIQhIlK0QTXNE3uv/9+du7cicvl4u///u+ZNWtWdvvPf/5z1q5di6Io3HvvvVx11VV5H3Nac4AvXruYQycjvPLBIXYf7gVg24Futh/o5pyFTVxx7nTqg568j3WmmBZ0h5PU+F3Svl0QJihFu/NfeeUVUqkUjz32GBs3buSBBx7gxz/+MQChUIhHHnmEl19+mXg8zs0331wQwc0wY1KAP/3UWew/FuL37x/iwPEwFvDhrg427enkoqUtXH7ONHweZ8GOORos7Aw13TAJ+lwlPbYgCONP0ZyKGzZs4NJLLwVg5cqVtLa2Zrd5vV6mTp1KPB4nHo8XbUFpzpQa/vMNS7j72kVMabTdCYZp8faW43z30Y28sfHIuBQajyZ0ukIJKYIjCBOMolm4kUiEQKB/sUrTNHRdx+GwDzllyhTWrFmDYRjcc889o9pnQ8PYMss+1hjgwrOn8cG2Ezy7bi8dvQkSKYOX1h/i/R3t3HTZPM5f0oJa4kgCS1WoqfHg7vPrNjePfwJHsajmuUF1z6+a5walnV/RBDcQCBCNRrN/m6aZFdt169Zx8uRJXn31VQC+9KUvsWrVKlasWDHiPru6oiNuPx3zpwT55qdX8N62E7z+4RFiSdvSfPi5rbz87gE+9bFZJU+e6OiI4Pc6mT2jno6OSEmPXSqam4O0t4fHexhFo5rnV81zg+LMbyQBL5pLYdWqVaxbtw6AjRs3snDhwuy22tpaPB4PLpcLt9tNMBgkFAoVaygDcGgqlyyfwn/57Eo+cfYUHJpt1R7piPLT57bx/36/i65Q6QrkWPR1Du6JoxtSeUwQqpmiWbhXXXUVb7/9NnfeeSeWZfHtb3+bhx9+mJkzZ3LFFVfwzjvvcPvtt6OqKqtWreKSSy4p1lCGxONycO2Fs7hwSQsvrT/E5r2dALTu72J7WzcfXzGFT54zLfu4X2zSukl3KEG9hI4JQtWiWOVUaHYEjndGaS/iI/fBE2HWvtuWrdMAUONzcs2FM1k5v6nomWINDX66uqIoQG3AhcdVPaFj8lhauVTz3KCKXAqVxsyWIPfctJTbL59Pjd8O2QrF0vz29b3867PbONqRn/94tFhATyRFLCEdJQSh2hDBzUFVFFYuaOL/u/1sPnnOtKx/t+1EmAef2sKzb+0vWWudUCxFbzRVVp0uBEHIDxHcIXA7Na4+fwZ/8ZmzOWtWPWCXXvzjthP8n99s4sNd7SURwnhSpzuclHhdQagSRHBHoKHGw13XLOLuaxfRWGOnA0fjaR7/w15++vw2TnTFij6GlG7SEUqQ1qVFuyBUOiK4o2DRzHq++ekVXHne9Kyb4cCxMD94YgsvrT9IqshiaJoWXaGkdAoWhApHBHeUOB0qq1dN5y8+czaLZtQBYFoWb2w8yr/8djO7DvUU9fiZOgyhWKqoxxEEoXiI4J4hDTUevnjtIj535QJqfHbxm+5wkl+8sIPfvLaHSLy4HXxjUodBECoWEdwxoCgKy+Y28he3n83Hlk0mE6G7cU8H/7cEi2op3aQzlJDMNEGoMERw88DjcnDDxbO59+ZlTO4rbh5P6jz+h7384oUddIeLlyJsmBadoQSptCymCUKlIIJbAGZMCvD1W5dxzQUzsotquw/38s+/3czbW45hFsnatfqKmidSspgmCJWACG6B0FSVy1ZO45u3rWD2FDu1L62brH23jZ8+u42OnnhRjpvJTJMIBkEof0RwC0xTnZcvX7+Emz4+J1v4pu1EmO8/sZk3Nx0t2mJXbzRV9AU7QRDyo2IEt5LajKuKwoVLWvjzz6xgwfRaAHTD4oX3DvKvz20tmrUbiafpjUrYmCCUKxUjuM11Xmp8Thxq5QhvXcDNn1y3mNsum4vHZVu7B09E+METW4rm282mA0sNBkEoOypGcFVVwedx0lTnpS7gwqlVxtAVReHcRZP480+vYOEM29pNG7Zv99/Wbqc7nCz4MZNpg65QAsOUsDFBKCcqQ7UG4XE5aKz1UB90l6xAeL7UBtzcfe1ibv3E3OyY9x0N8f3HN7Nh58mCx+3qhkVnKDkuTTIFQRiaihTcDG6nRn3QzaQ6L0Gfs+ytXkVROG/xJL756RXMnWr3TkumDZ54Yx8PPbm54ItepmnRFU6QlFhdQSgLyluhRomqKvg9ThprPTTVevB7HKhl7OutD7r5T2vO4vqLZ2Xjdjft7uBfHt/Mjrbugh7LsqAnLIVvBKEcqArBzcWhqQR9LpprPdQFXLgc5TlFVVG4eNkUvnHrCqY22e3fo/E0//7STp5+c19BK5BlCt9EExI2JgjjSXmqUQFQFAWPy0FDjYfGGk/Z+non1Xu596alfOri2WQi39ZvP8kPn9jCkfbC9nALx9ISqysI40jVCm4uTodKfdBNQ9BdlhavQ1O58RPz+MoNS6kPugHo6E3w0DNb7WSJAi6oReIiuoIwXpSf+hQRl1Ojocb28/rcDsotl2LW5CB/dttyzlnQBNgFal547yC/+N2OgtbBFdEVhPFhQgluBoemUuN39SdTaOWjvB6Xg89cPp87Vs/PukH2HOnl+49vZufBwi2oReJpQpKVJgglZUIKbgZV6UumqPXSEHTjcWmUi/SePb+Jb356ObNa7EI4sYTOL1/cydp3DhSsDm4sqdMTSUpnYEEoERNacHNxOTXqAm6a6jwEvM6yCCurD3r48g1LWL1qWtb98XbrcR56upWO3sLUY0ikDEkFFoQSIYI7CE1VCXidNNd6qPWPfwqxpipced4MvrRmCTV+FwBHO2P88MktbNrTUZBjpHRTUoEFoQSI4A6Doih43X0pxIHxj26YO7WGb962nMUz7QaWqbTJY6/t4ck39hYkZrc/FViy0gShWIjgjgK3y45uqA+6x3WBzedxctc1i1jzsVlofS6PD3a28+OnWjlZgJKPdipwkmRKRFcQioEI7hngdmo01dqRDePl4lUUhUuWT+GeG/tjdk90x/nRk1v4aHd73vu3LOiJSCqwIBQDEdwxkIls8Lod4zaG6ZMCfOPW5Syd3QDYftjfvr6Xp9bty7tCWCYVOCapwIJQUERwx4iqKtT6XTTWeMbNv+t1O/jcVQu4/uLZWRfD+ztO8tAzrXSG8u8YHIqlC5pwIQgTHRHcPHE6VBpq7IiG8QglUxSFi5dN5p4bl1IXsKMYjnXGePDJLWw70JX3/mMJidUVhEIhglsgvG4HTbXjF8NruxhWsHhmPWDH1/7q5V288Mc2jDwbVyZSBl2hZNEaYArCREEEt4CoijKuMbw+j4MvXLOQay6YkU2UeHPzMX6+dhvhPF0DacOkM5QoWJabIExERHCLQG4Mb43PVdIiOaqicNnKafynNWfh9zoBOHAszA+f3ELb8XBe+zZMi65QgpR0kBCEMSGCW2R8HtvVUOp6vPOm1vJnt/bXYgjH0vz0uW2803osL3+saUG3dJAQhDEhglsCNNWuxxv0OUtaHKfG7+LLN5zFxcsmA2BaFs+/08ZvXt+TV3aadJAQhLEhgltC/B4nDTUeHCVcVNNUlesvns0dq+dnw9c27enkoae35h06FpawMUE4I0RwS4zTodJU56U+YLd4L5XStCKQAAAgAElEQVT0nj2/iXtvXkZjrQeA41126Fi+NXZjCd2uNiYRDIJwWkRwxwm3y27x3lTnwecpTfeJyQ0+vn7LMs6a1R869u8v7uQPHx3Jy6+bTBt0hhJ5Z7gJQrUjgjvOaKpKjc/F5AY/AW/xfbwel4PPX72QK86dDtj+2JffP8Svf78rr6I1mQgGWUwThOERwS0TVNWO4W2o8RS9IpmqKFxx7nS+eM2ibPTEtgPd/PiZVjp7x+7XzSym9UpmmiAMiQhumeF0qDTWeEpi7S6eVc/Xb1lGc50XgJPdcR58agu7DvXktd94ypAkCUEYAhHcMkRR+q3dYmerNdV5+erNS1kyu9+v+8sXdrBu49G8rFTdsF0MUltXEPop2t1smiZ/8zd/wx133MFdd91FW1vbgO1vvPEGt99+O7fffjv333+/PIIOgdOh9mWrFbf+rsfl4HNXDfTrvrj+II+9ll+8rmlBdySZd1qxIFQLRRPcV155hVQqxWOPPcZ9993HAw88kN0WiUT4p3/6Jx566CF+85vfMG3aNLq7C9cCvNrweZw01XltN0ORhDfj1/3C1QtxOe2vxea9nfzrs9voiSTz2ncomqInIo0qBaFogrthwwYuvfRSAFauXElra2t220cffcTChQv5x3/8Rz73uc/R1NREQ0NDsYZSFfQXxvHaYWRFOs6S2Q189aZlNNbY8bpHO6I8+FRr3nUY7Ipj4tcVJjZFa1kQiUQIBALZvzVNQ9d1HA4H3d3dvPfeezz99NP4fD4+//nPs3LlSubMmTPiPpubg8Uablkw2vm1AIZhEoqliCd0Cm03NjT4+db0On72dCvbD3QRjaf52fPb+Nw1i7nk7Klj3icAikKwxo3HNX7dMopBNX83q3luUNr5Fe1bHwgEiEaj2b9N08ThsA9XV1fH8uXLaW5uBuC8885j+/btpxXc9vb8rKxyprk5OKb5KYZJNJ4mUYTFqc9duYAX32vj7S3HMUyLR17Yzt5D3Vx3UX8Ty9HQ0OCnq6v/u9DZGSHoc+HzVIfojvXaVQLVPDcozvxGEvCiuRRWrVrFunXrANi4cSMLFy7Mblu2bBm7du2iq6sLXdfZtGkT8+fPL9ZQqhqHplIXcBel1Y+mKqz52Gxuu2xuVmDfaT3OL1/YkVeCgwWEYimpwyBMOIpmYlx11VW8/fbb3HnnnViWxbe//W0efvhhZs6cyRVXXMF9993Hl7/8ZQCuvfbaAYIsnDmZVj/xpE44ni5obYNzF02iuc7Lr17eRSSeZs+RXn70dCtfvGZRNoZ3LMQSOoZhURtwoZayaLAgjBOKVUHxWPJoMzpMyyKW0Ikm0hTy6vZEkvzq5V0c7bDdAx6XxmevXMCC6XUjfm6wS2EwDk2hPuhGUyszLLyaH7ureW5QRS4FYfwYENFQwFbudQE3X7lxCcvm2hEliZTBL17Ywdtb8itqrhsWnaEk6TxifgWhEhDBrWJUVaHG76IuULg2Py6HxmevWNCfJGHB2nfbePrN/Rjm2EO+TNOiK5SUouZCVSOCOwHwuBw0FrDwudKXJPHZKxdkU4/f33GSf1u7g1gegmlhFzWX+rpCtSKCO0FwaCoNtYWNZFg+t5Gv3LiEGr8LgP3HQvzo6VZO9sTz2m8ybdAhzSqFKkQEdwKhKvbilMdVuIaW05oDfO3mZUxrthMbukJJHnq6lT2He/Par2ladIWTROLiYhCqBxHcCYaiKNQF3AVNOqjxu/jKDUtZPmAxbTt/3HY8731H4mk6euNi7QpVgQjuBKXGZy+mFaoKmdOhcucVC1i9ahpgVwp79q0DPPf2gbwW06Cv1GM4SW9EfLtCZSOCO4HxuBw01XqzXR/yRVEUrjxvBnesnp/tWvHu1uP86PHNJFL5t96Jpww6euMF2ZcgjAejfq7s7Oxkw4YNaJrGeeedR21tbTHHJZQIVbX9uomUTjiWxiiABXn2/CYaatw88pKdmbZ1Xyft3TG+eM0iGvqqkI0V04KeSAqvyyDolww1obIYlYX7zDPPcOONN/L888/z5JNPcv311/PGG28Ue2xCCbGt3cK19pkxKcjXblnG5AYfYLfv+fHT+Zd5zBBPGXT1SrlHobIYVWrvtddeyy9/+UtaWloAOHLkCPfeey/PPfdc0QeYi6QYlgbdMOmNpEgXQMySKYMn39zPlr0dgJ3Ge+tl81g5vynvfQMoiu2P9hYwo+5MKadrV2iqeW5Qpqm9fr8/W0oRYNq0aTidzvxHJpQlDs1u7RP05W/tul0aX71tBZcsnwzYC2C/eW0Pr3xwqCBtlSyrv1OwLKgJ5Y52//3333+6N23fvp1f/epXOJ1O9u3bxw9/+EPcbje6rrNjxw4WL15cgqFCrIrL+fn97rKbn8uh4XaqJNNmXkVwfD4XM5r8BLxOdh/qwQL2HwvT0Ztg0cz6M6qtOxy6YRFP6qiqgrPAZSpPRzleu0JRzXOD4szP73cPu21Uz2HJZJJJkybx5ptvAuD1evF6vbz33nsA3HzzzQUYplCOOB0aTTUeeiJJUnp+LoYLl7TQWOPh/72yi0TKYPPeTrrDSb5w9UKCPlfeYzX7rN14UqfG78JR5I7HgnCmSHnGMqESfGWhaIrYGAqPDy7PeLI7zi9f3EF32G5OWRdwcfe1i2npW2ArBArg9zrxexwoRY5kqIRrN1aqeW5Qeh/uiBbuPffcw09+8hNWr1495Jf21VdfzX90QsVQ43ehqkre6baT6r189eZl/PrlXbSdCNMTSfHQM1v57JULWDhj5Nq6o8XCzlJL9Fm7rgLFGgtCPoxo4Z48eZJJkyZx5MiRIbdPmzataAMbCvmlLQ/iSZ1QNDXq5pXDFSDXDZMn39jHxj12BIOqwPWXzOaiJZMLOFobr0sj6LN/MApNJV27M6Wa5wZlFqUwadIkAB544AGmTZs24J9vfetbBR2kUDl43Q4aClDu0aGpfObyeVx5nl1bN5MOvPadAwWPOIinDNp744RjKYlmEMaNEV0K3/jGN9i+fTsnT57kiiuuyL5uGAaTJxfeChEqB6fDDh0LRVPE8+gYrCgKq1dNp7HGwxNv7EU3LN5uPU5nKMEdVywoWNox2CFk0YROLKkT8DrxeyS0USgtI7oUIpEIPT09/O///b/5H//jf2RfdzgcNDY24nA4aG9vHxCjW0zk0aY8icTTI/p1T9fTLMPBE2EeeWkn0YS9MDel0ccXr1lEbWD4MJt8cGoqtYH8oxkq+dqdjmqeG5TepZB3lMItt9zCU089lc8uRo1c+PIllkgTig0tuqMVXICuUIJfvriT9r4i5jU+J3dds4hpzYGCjTUXBfB6HPg9jjE3saz0azcS1Tw3KDMf7miooKgyoYj4PE5q/a68M9Maajzce9NS5k+ziyOFYmn+9bltbDvQlf8gh8DCbtfe0ZOgN5IknWessSCMRN6CW+wYR6Fy8Lod1AfdedfY9bod3H3dIs5fbC/apnWTX7+8izc3Hy3aD7yFvbDWGUrQFUqQzMMvLQjDIak4QkFxOTUaaz3ZerhjRVNVbr50DtddNBMFWxBf+OPBvLsDj4aUbtIdSdIVSkhEg1BQRHCFgqOpKo01+TesVBSFS1dM5fNXL8zWR3h/x0l++cJO4mPIeDtTUrpJV0hKQAqFQ3y4QlFQ+hpWFqJL8JLZDXzlxqXU+Owwrj1Hennoma10hRJ57/t06KZFZyhREoEXqp9R3Q1Hjx4d8M+xY8fo6rIXMXLDxQQhl4zoFiKWdlqTn6/evIwpjXa9hfaeOD8qYEHzkciUgOzsTZCUZpZCHoyqWtjXv/51du/ezcKFC7Esi927d9Pc3Iymafzt3/5tsccoVDCKotBY66G7O0oiz4Wo2oCbr9y4lMde3cOOg93EEjo/X7utoAXNRyJtmHSHk7idGjV+55jDyISJy6i+MS0tLTz66KM8+eSTPPXUUzzxxBMsW7aMRx55hO9973vFHqNQ4WRas9cUoqC5U+MLVy8sWkHz0ZBMG3T2iptBOHNGJbhHjhxh2bJl2b8XLVrEwYMHmTJlCmaRV4yF6sHncdJQ4ybfSEJVVVjzsdnc9PE52RC01z48wmOv7SlZHG2m9m5XKCGxu8KoGZXgzpgxg+9+97vs3r2bnTt38r3vfY9Zs2bx0UcfocpjlXAGOB0adQF3QRpVXrikhbuvW4zHZfuIN+/t5Odrt+VdPvJMSOkm7d0xQrEUpiwgC6dhVGr5ne98B13Xue+++/jrv/5rDMPg29/+NocOHeJ//a//VewxClWG7QPNv8MDwILpddxz01Lqg3a9hYMnIvz46VaOd8UKsv/RkMlWa++J0xtNkdZlYU0YGun4UCZUc876cHM7XdGbMyEST2cLmoMt6oUsaD4SQ9WKcGgKfo8Tj0ur6GzMav5eQpnVUrjlllsAWLx4MWedddYp/whCPgS8TnwFam8e8Dr50vVnZaMVkmmDX764g3dajxdk/2eKblj0RlN09CaIJtKSsSYApwkLy1QB27x5M48++ijr16/H4XBwySWXcNttt5VkgEJ1k3EtjKVX2mAyBc2b67z8/oNDWBY8/84B2nviXH/x7IJ0Bz5TDNMiHEsTiaXxuDR8HgdOh7T7maiMyrz4u7/7O6LRKLfeeiumafLMM8+wa9cu/vt//+/FHp8wAajxu+ziMQUQXUVRuHzVNJrqPPz29T3ohsV7207Q2Zvgs1cuwFsgi/pMyRTHiacMvG4HQa+zKO1+hPJmVN++jRs38txzz2X/Xr16NTfddFPRBiVMPGr9LrCsvLpH5LJ8biP1ATePvLSTcDzdlw7cyhevXUxjjacgxxgr8aROMqUT8LrwuivbxyucGaNOfDh06FD275MnT5asy4MwcagNuLMhXoVg+qQAX70lNx04wY+eamXf0VDBjjFWTAtCsRQns5ENEss7ERjRwr3rrrtQFIXu7m5uvPFGzj//fDRNY8OGDSxYsKBUYxQmEHUBNz2RZN5pwLn7+8qNS/nt63vYdqCbeFLn39Zu5+ZL53BeX73d8cSybIs3ntRxOVS8bse4uT2E4jNiWNj69etH/PAFF1xQ8AGNhISnVCZnOjfLsuiJpApaKMa0LH7//iHe2Hg0+9olyydz3YWz8valnkkLodGgqQoBr7MshLeav5dQ+rCwEa9oqQVVECBTe8FFbzRVMEtXVRSuuWAmzXVenlq3D8O0eHvLcdp7Etx5xXw8rvEXtwyGaYeUReNpAj5nWY1NyA/JyxXKEkVRqPW7CurTBVi1sJkvX78Ev8cWsV2Hevjx01vpLEFt3TNFN21LX8pCVg8iuELZkqkyVoh6urnMmhzka7csZ3JDTm3dp1rZe7S3oMcpFJmykHahHBHeSkYEVyh76gKugnSOyKU+6Oaem5Zy1qx6wF64enjtDt7bdqKgxykkKd2kM5SkO5yUtj8VigiuUPYoikJd0I1TK+zX1e3U+PzVC7ls5VTAXlh75q39PPtW8RtV5kMybdDRm6A7nBSLt8IomuCapsnf/M3fcMcdd3DXXXfR1tY25Hu+/OUv8x//8R/FGoZQJah97XocBc7Oyiym3X75/Gyn4T9uO8HDv9tBLFG6Mo9jIZk26AyJq6GSKJrgvvLKK6RSKR577DHuu+8+HnjggVPe88///M/09pan30woP1TVtnSLkRG7ckET//mGpQT7GlXuOxriwadKW+ZxrGRcDT0RcTWUO0UT3A0bNnDppZcCsHLlSlpbWwdsf/HFF1EUhU984hPFGoJQhTg0lfpg/l0jhmLGpABfv2U505v9AHSHkzz0dCtb93cV/mBFIJGyW/+EYimpTlamFC3ALxKJEAgEsn9rmoau6zgcDnbt2sXzzz/P97//fR588MFR73OkgOJqoJrnV+i5NTTodIUSFFpWGhr8/Ne7z+dXL+zgva3HSekmv/79Lm74+Byuu2QO6jBK39DgL/BI8sNQwOdzEfA6867VUM3fSyjt/IomuIFAgGi0P/vGNE0cDvtwTz/9NCdOnODuu+/myJEjOJ1Opk2bdlprVzJeKpNizc1I6fRGUgUXXYAbL55FQ8DFi+sPYlnw3Fv72Xu4h898cj7uQbHBhc40KxSdnVFUBfx9dYfHIrzV/L2EMss0y4dVq1bx+uuv86lPfYqNGzeycOHC7La/+qu/yv7/D37wA5qamsS1IJwxHpcDJaDQE0kWXHQVReHSs6fS0uDj0Vd3k0gZbDvQzY+faeWuaxaNe8Wx0WJaEI6liSZ0Ah6nVCcbZ4rmw73qqqtwuVzceeed/MM//AP/7b/9Nx5++GFeffXVYh1SmIC4XRp1wcI0pRyKhTPq+NrNy2iu8wJwsjvOj57awu7DPUU6YnEwTYtQzO5AEUvoJWspLwxEepqVCdX86FaKuSVSOj2RVFH3/9vX97K9rRsARYFrzp/JpWdPobExUJYuhZEYbYGcav5eQpn1NBOESsHjcmRDuoq1/89fvZDVq6YBdlnFF9cf5NFX95AsUIGdUpIpkNPREy9Ipw1hdIjgClWD31O4ppRDoSoKV543gy9cvTBb32HLvk6+88gHZVn8ZjToIrwlRQRXqCpq/K6CF7sZzJLZDXz15mU01doLZ0faIzz45BZ2Huwu6nGLiQhvaRDBFaqOYhS7Gcykei9fu2VZtvhNImXw7y/u5NUNhzErZ1nkFDLC294Tl8W1IiCCK1QdmbKOha67MJiMX/eGS+eiYHfmfXXDYX710s6KtxKNvqiGE10xool0Rf+IlBMiuEJVkq27UGTRVRWFNZfM4YvXLsoWS99xsIcHn9rCsc7KilwYCsO0CMfStPfECUVTUqshT0RwharFoak0FKnYzWAWzaznG7cuz3YI7goleejprXy4q734By8BlgWxpJ5TFlKEdyyI4ApVTTGL3QymocbDPTct5ZwFTYDdqeHxP+zl6Tf3VZVlaJeFTEgh9DEggitUPU6HRn2geNloubgcGp/+5Dxu+vgctD7Tev32k/zk2a10hyszdGw4MoXQe6NSnWy0iOAKEwKXU6OuRKKrKAoXLmnhKzcupS7gAuBIe5QfPrmFHW2VGzo2HPGkTntvnEhcFtdOhwiuMGFwuzRq/K6SHW/GpADfuHU5C2fUAhBPGvz7Szt58b2DGFVmEVoWROJpOnriRBNpCScbBhFcYULhdTuo8ZVOdH0eJ1+8djFXnjc9a12v23SUnz+/jd5o8Wo/jBeZ6mTtPWLxDoUIrjDh8HmKW3dhMKqisHrVdP50zVn4vfZxDxwP88MnNldc1bHRYuZYvJF4Wny8fYjgChMSv8dJwFs60QWYP62WP7t1OXOm2NWkogmdX/xuBy+vrz4XQ4aM8Lb3xgnFUmXdDbkUiOAKE5aA14nPU7xiN0NR43fxn9Ys4ZN9rdkt4A8b+1wMkWRJx1JKLAtiCZ2OHjuqYaKGk4ngChOaGp8Lr6u4xW4Go6kKV18wkz+5bjH+PsE/cDzMD56oziiGXCzsqIaO3gQ9kYmXQCGCK0x4agPuolcYG4qFM+r4s9tWMGdKDWBncv37Szt5/p0DE8ICTKT6EyiS6cqrKTwWRHAFgdJUGBuKGr+LL605iyvOnZ7Nhnun9TgPPd1Ke0+85OMZD5Jpg+5wko5euzRkNYeUieAKAn0VxoJunFrpbwlVVbji3Ol8ac2SbJzw0c4YP3xyCx/sOFnVApSLbvTV5O1NEKvSWF4RXEHoQ1UU6oKuolcYG465U2v45m3LszV207rJk+v28R+v7q74co9ngl0asj+Wt5oiG0RwBSEHTVXtugvj1Enc53HyhasXcuMls3Fo9iBa93Xx/cc3s+9oaHwGNU70x/LaC2ypKvDziuAKwiCcDpXaEqYAD0ZRFC5aOpmv3bKclnq7PXtvNMXPn9/GS+sPTogFtVws7AW2rnAymzpcqYkUIriCMAQel4OaEmajDcXkBh9fu2U5H1s2GbCF542NR3no6VZOdMfGdWzjhZ5TEL0nUnnRDSK4gjAMPo9z3EXX6VC54eLZ3H3tIoJ9mXFHO2M8+OQW3mk9NmFrFWSs3u5wsqJ8vSK4gjAC5SC6YHeU+OZnVrBktr2gphsWz7/Txi9+t4OeKs5QGw2GaWV9vd3hJIlU+YaWieAKwmmwRXf8fLoZ/B4nn79qIbddNheX07519xzp5fuPb+ajXe1lKzKlwsKO6e2JpGjvTRCOlV8KsQiuIIwCn8cxrgtpGRRF4dxFk/jmbSuY3VcEJ5Ey+O0f9vLr3+8iHKu+ko9jwTQtogk7hbgrlCibhAoRXEEYJV63LbrjFDE2gIYaD19es4TrLpyZbeWz7UA3//L4Zrbs6xzn0ZUXKd2kN5qivSdOeJwrlongCsIZ4HU77FY9ZaC6qqpw6dlT+caty5nW5Afsilz/8cpu/t8ru4jE0+M8wvLCtOySmOMZ1yuCKwhniNullaz9+mhoafBx781LufK86ahKf7LEP/92E5v3dpTFo3Q5kRvXe7IrVlJ3gwiuIIwBp0OjocaTfZwfbzRVZfWq6Xz91mVMbfQBtrX76Kt7+NXLuwhVYTufQpA2Brobir3IJoIrCGPEoak01LhxjEPBm+GY0ujnq7cs48rzpmd/DLa3dfPPv900oQrhnClZd0NvX7nIlFGUc1U+3xRBqEA0VaWpzpute1AO9Fu7y5nebPt2EymDJ9ft4+drt9PZmxjnEZY3ybRBd8ROqAjFUqT1wvl6RXAFIU80VaEh6BmX0o4jMbnBxz03LeO6C2dmfxD2HQ3xL49v4o2NRyoiM2s8MfvaAnWGkpzsidMbTZFM52f5ltc3RBAqFFVVqK8Zn84RI6H1RTL8+afPZu5Uu7OEbli8tP4QDz7ZysET4XEeYWVgmhbxpE532BbfnkiSeFI/49RqEVxBKBCqolAXKH2PtNHQWOvhS2vO4rbL5uJ12+M73hXjJ89s5Zm39k+oerv5Ylm2i6Y3mqK9O05XyC6YPponhtK2LBWEKkdRFGoDbpRYiliivEQsk6W2aGY9v3u3jY17OrCA97adYOv+Lj71sVmcPa8RpRyCjCsECzuxIqWbEEvj0BSam4PDvl8sXEEoAjU+F8EyKHozFAGvk9tXz+dPP7WYhho3YBf6/s1re/j52u2c7J4YvdSKgW6M7GIQwRWEIuH3OMsmFXgoFkyv488/fTarV03LhpDtOxri+49v5sX32iqu1mwlIIIrCEWknFKBh8LpULnyvBn8+adXMH9aLQCmZbFu0zH+72828f624xK7W0BEcAWhyNipwJ5xa045GprqvPzppxbz2SsXZKuihaIpfv7sVn72/DaOdUbHeYTVgQiuIJQAp0OlscZdVgkSg1EUheVzG/mL28/mspVTs26G/cfC/PDJLTzz1n6iCSmIkw8iuIJQIjRVpaHGU3axuoNxOzWuuWAmf/6ZFSyb1wjYoVDvbTvB9x7dyNtbjpVdYe9KQQRXEEqIqijUB9143eUfkdlU6+Ubn1nJ3dcuoqnWA9jxp2vfbeNffruZbQe6xL97hhTtqpumyf3338/OnTtxuVz8/d//PbNmzcpu/8UvfsHatWsBuOyyy/jGN75RrKEIQtlR63ehqUpF1KxdNLOeedNq+ePWE7z24WESKYPOUIJfvbyLOVOCXHfRLKY3B8Z7mBVB0SzcV155hVQqxWOPPcZ9993HAw88kN126NAhnn32WR599FEee+wx3nrrLXbs2FGsoQhCWRLwlkeDytHg0FQ+vmIK9925kouWtmRrAe8/FuZHT7Xy6Ku76Q5LUZzTUTQLd8OGDVx66aUArFy5ktbW1uy2yZMn87Of/QxNs31Zuq7jdruLNRRBKFt8HieKotBbIfVq/R4nN14yh4uWTObF99rYcbAHgM17O9m6v4uLlrTwyVXT8Hsq44ek1BRNcCORCIFA/2OGpmnouo7D4cDpdNLQ0IBlWXznO99hyZIlzJkz57T7HCllrhqo5vlV89wg//kl+gqjnGkxlFLQ0OAf8rXF85rY2dbNE6/v5uDxMIZp8XbrcTbsaueqC2dxxfkz8LjK31c91PyKRdHORiAQIBrtj90zTROHo/9wyWSSb33rW/j9fv7n//yfo9pne3v1VjZqbg5W7fyqeW5QuPkppkkkkrLz8suEhgY/XV3Dx+A2B1185YYlbNnbye/fP0RXOEkiZfDcm/t47f2DfPKcaVxwVgtOR3muz59ufmNh2gj+7KKdhVWrVrFu3ToANm7cyMKFC7PbLMvia1/7GosWLeJv//Zvs64FQZjIZMLGAl5n2aYDD4WqKJw9v4m/uP1sbrh4Nn6v7U6IJnTWvtvG/3lsI+u3n5D6u4BiFSmuIxOlsGvXLizL4tvf/jbr1q1j5syZmKbJX/7lX7Jy5crs+//yL/+Sc845Z8R9ipVUmVTz3KA480vrBr2RFLo5vi6GsViAybTBO1uOs27T0QH1GOqDblavmsbKBc1l0wuuGBbu8kUtw24rmuAWA7lpK5NqnhsUb36mZRGOpce1Vm0+ghRL6KzbdJR3tx4nneMmaahxc/k55SG8pRbc8nSsCIKAqijU+l12xbHyMAjPCJ/HwbUXzuS/3LmSS5ZPzqY1d4WSPPHGPv7vYxt5f8fJCZW1JoIrCGWO1+2gsab8eqaNlqDPxZqPzea/fPYcLl6WI7zhJE+t28f3Ht14ihVcrVTmFRSECUamJbvPU/5hVsNR43Nx/cW28F6ybHL2B6Q3muK5tw/wnf/4iD98dIREqrw6ZRSSyr16gjDBUBSFGp8Lt1OjN5rCHOcFtbFS43Ox5uLZXHbONN7afIw/bjtOKm0Sjad5+f1DvLHxKBcumcTFy6dQ43ON93ALigiuIFQYbqdGU42HUCxFIlW5XRkCXifXXjiTT5w9lXe3Hufd1uPEkjrJtMG6Tcd4e8txVi5o4uMrptBS7xvv4RYEEVxBqEBUVaEu4Cae1AnHUlSosQvYi2tXnDudS1dM4f0dJ3lr83bcPEQAAB8cSURBVDF6oykM02LDznY27Gxn4Yw6Pr5iCvOm1lR0k0sRXEGoYLxuR9bFUOk9yFxOjUuWT+GipS1s3tvJm5uOcbwrBsCuQz3sOtTD5AYfFy+bzNnzm8o2e20kRHAFocJRVbvGbjVYu2Bn3J2zoJmV85vYc6SXtzYfY/fhXgCOd8V4ct0+Xlx/kPMXT+LCJS3UBSqn8JUIriBUCRlrNxxLEa9g324GRVFYML2OBdPrON4V453W42zc3Y5uWMQSOm9sPMqbm45y1uwGLlrawtwp5e9uEMEVhCpCVRVqA248aYNwdPxTgwvF5AYft35iLlefP4P120+wftsJQrE0pgVb93exdX8XzXUeLlzSwjkLmsu2o4ak9pYJ1Zz+Ws1zg/Kdn2VZxJI6kXiasd7lxUh9LQSGabLtQDfvth7nwPGB596pqSyf18D5i1uY2RIY0eotdWpvef4MCIKQN4qi4Pc48bocROJpYuNYk6HQaKrK8rmNLJ/byPGuGO9tO8FHu9tJpU3ShsmHuzr4cFcHk+q9nL94EisXNJVFUXSxcMuEcrWSCkE1zw0qZ35p3SQcO7N6u+Vq4Q5FMmWwcU8H728/wdHO2IBtmqpw1qx6zl3UzPzpddmiOWLhCoJQFJwOu95uPKkTjqcrNlNtONwujQuXtHDBWZM40h7l/R0n2bS3g1TaxDAtWvd30bq/i6DPycr5TZyzsLmk3R5ALNyyoVKspLFQzXODypyfZVlEEzrRxMj+3UqycIcimTbYsreTDbvaaTt+6jWa0RJk+ZwGVsxvLFgasVi4giAMQFEUAl4nXrdGJK6TSOpUjOV1BridGuctnsR5iyfR0Rvnw53tfLS7I9u089CJMIdOhHnhvTbmTa1lxbxGls5pKFqUg1i4ZUIlWkmjpZrnBtUxP90wCcfSp2SrVbqFOxSmZbH/aIgPd7Wzra2b5KCYZU1VWDijjhXzGlk8sx6368xagImFKwjCiDg0lfqgm7RuEInrFZ8mPBKqojBvWi3zptUSCHp4+6PDbNrTwa5DvZiWhWFabG/rZntbNw5NYdGMepbNbWDRzLq8uxCL4AqCkMXp0KgPaqTSBpF4eryHU3RcTo2z5zdx9vwmYok0rfu72LSnkwPHQliAblhsPdDF1gNdaKrCgum1LJ3TwOJZ9WMKMxPBFQThFFxOjQanRm2dl2g4UdUWbwafx8kFZ7VwwVkthGIptu7vYsveTtqOh7EAw7TYcbCHHQd7UBSYPbmGJbPrOWtWPQ01nlEdQwRXEIRhcTm1PleDSSyRJpEyqnJxbTA1PhcfWzqZjy2dTCiWYltfSNn+YyEsCywL9h8Lsf9YiLXvtjGp3stZs+pZPLNefLiCIOSH06FSG3DjN0xiSZ14Uh9zunClUeNzcdHSyVy0dDLRRJodbd1s3d/NniM96IZ9Ek52xznZHeeNjUe5/rL5w+5LBFcQhFHj0FRqfC4CXifxpE4soWNUWQLFSPg9Ts5dNIlzF00ilTbYc6SX7Qe62XGwm2ji9KnTIriCIJwxal+dBr/HSTJlZFvjTCRcTo0lsxtYMrsB07I40h5hR1vPiJ8RwRUEIS/cLg23S8MwTeJJg3hyYlm9YP8AzZgUZMak4IjvE8EVBKEgaKpKwKsS8DpJpm3hTU6QRbbRIoIrCELBcTs13E4N07RIpHTiSYO0MfoqZdWKCK4gCEVDVRV8Hic+j5O0bpJI6SRSxoRzOWQQwRUEoSQ4HSpOh4ugD1Jpg0TaIJEyqq5M5EiI4AqCUHJcTg2XU6MmR3yTE8DyFcEVBGFcyYgvPrsrRbJPfKvR5yuCKwhC2WC7HexIB9O0bPFNG6TSBtVg/IrgCoJQlqiqgtftyBYDT+sGybRJKm2Q1s2KDDcTwRUEoSJwOjScDg28TizLIqX3i2+lCLAIriAIFYeiKNlYX7B7tKV1k1Sf+KZ0oyyL64jgCoJQ8SiK0r/41odumKTSJmnDJK0bGIY17lawCK4gCCPSur+TtzYfo70nTnOdl4+vmMKyOY3jPazT4tBUHJqa/duyLHTDzLogxiMKQgRXOC353nAf7jzJ2jf3lsUNW6niMRT5zmU0n/9w50meeGNf9u8T3fHs35V23hRF6fcD99HU5EfRddK6Lca6YQtxsdwRIrjjxOAv+5pL5zGjwVsWY8m98Vr3d454w53upm3d38mzbx8grZtDfr6UnG4ulUS+cxnt519Zf3DIz7+1+VjFnbOh6Bfhga8bpomuW+imiW5YGH1inG9omgjuODDUl/2R323jxktmj/pmKZSVljuWRFKndX8XG/d0MGdykDUXz+atzcey740ndSLxNLph8osXdvDJc6axYWd7dtuJ7GdrWHPxLJbNaRzw+VzG44bNjCWR1An3zcOhqax9t23AD0yhLeB89pn5bNuJMGndxOlQmdUSpDeSGnaOo9n3aK/L8c6hW6S39yRGMfozp1yeQDRVRXOBm4Et0k0zYwnbYmz0ibFhjs4/LII7Doz0Zc/8dySLsZBWWuaYvZEkoWgKywJFgQPHwzzxxj4SKR2Py0E8qdMTTmY/F4mnefG9gwS8dufS3G2H2iPZMbX3xNFy/GgZ8rlhx3pTtvfESSR1unPGqusm+4+FaN3fCVBwC/j5dw/w4nsHs+IeS+ic6I6Pap+Zaz14zJYFPZEk9QE3HvfAW/h05zVz7jbu6cChqQS9zgH7GPz5yY1+Dh4PnbKf5rrRNU08EyrhCURVFVyqxv/f3rkHN3Hde/x7dleShSX8QgZyHduChITW9U1oAhMwJJAXqcH0tinJkOtMJg8gzbvTDtCGKQ0OTWb6RzItU0KbpHdM7lAmThvSXBqSJhMu4RkSwpgEcwFhxxgbW35JQq/dPfePfWhlPSw/JNvifGY8Y+2uds852vPd3/md3/mtOc4LeyVVgJPBBDeNJBKGzl5/3OObO7zoGOSGG6rFaCyDWeABKPGLWnk6e/3wB0VdbAGlQ4dEGf6gCFGSkWNGzCuzBZ6DKMlxX6UtqpMR+09chCPfim6DWGgM1mEbXW68f6AZrZ1eAECJIxfV88sBDF8UHflWNLq6Y7YLPJewXbV6JGvbHm8IBTZz3IfjPw+3QFTdKaIoo8cTREGScw68LgB4BrSx1x+GwHPw+MMxgpusXY3iL0kUsiyhR5RRAOjnGfj9O+aW4o3djTHnqqqcnrTsw2E8jYaGA89xiGNbRMEEN00ke1o78q26lWMkLErIMfMx2403XCKxjmfZDHQXXPD4IFMKniO40OXDV2e6wHFEeRPrwAczBTp7/OA4IBBSllZyhOi77VaTPiwfiDYz3NkbwH8scmL3Z+djjknWYRtdbry193SUVee66MGOvadRYLNEuQQIlDK99u5JfNdZmNTaraqcjuNnumK226wmtf2iG0G7Trvbh23vNib0bZsELuHDMV77ePzhlCx87bc2nkOmFIGgCI4jSq7ZoBgluonadaD4E0CxxnhECbfx+40uN442dSEQEhEWZZgFHqVTbcNyiaQyGhnKvT1RYYKbJpI9rasqp0eJsYZJiP94NN5wjnwrmts9UT5Iu9WEsmmRV3toN/lJVzcoIuIoU6paNhQcIXpmpkSDIArF2jUJHIIhCTIAsyl6GKpZX1pHhno9paw5qHAWIS9vkhqlEIAjP2fQDrv/xMUYqw5QLLt+X0hP5yerYT4AEAwDja5uNLd78MBds+Kev8JZBOc0O77t9BnEmqLXG4QoyXDkWRFQ38tlHMYLcQQ1FWuss9evjATEaNEVJTmlIbn2YNbOof1+hCivdOEFAo8/DELIoEI4UPw5TnlQUQpIkoypBfEnS00ChxyzgByz8r2hiu1QRiOJDJGhuC/Giw84EWkTXFmWsWnTJjQ1NcFsNqOurg5lZWX6/l27dmHnzp0QBAGPP/44Fi9enK6ijAnJntZGC0gToeqFM/H+/57VbzijFWezmvCPg+fResmL/2vtQ583CI4QcBzRh6kLVMtEsw49/jD8QREESvo7ALpQUQpoCyEHc/QTQhAWZRTl5cDrD8ORH4mkyLEIWFA5HSfPueFq98T4BDVrac51xTERGPE6htYmx890QRRlcByJsqq1oTDPEVVso0vvD4oIBEXs+vgMKh6J38mq55ej4dNzMT5pE8+hxxsEUetlFHyTwKGz169PFj50z/UpWWOOfCt8gejrAMoIIJUhufZgNgscAkFRnyHXmiTPZoHVImBqgRVrV1QkPVc88ec4AhDg36+ZEvP90RjeD/UciQyRVN0XE8EHnDbB/eijjxAKhfDXv/4Vx48fx0svvYQ//vGPAIDOzk7U19ejoaEBwWAQq1atwoIFC2A2m9NVnIwz2NO6wlkUdRM4HHb09V2OO0kiyRT/+Ow8CuwWBMMSOI4os6OUgkBZY37ynBvLbinH+wea9e8SaBYMBeGILq6EIOU4Qy1Y3GoREBJleC6H4PWHYbOacNuN/4Zlt5Rj2S3lBgGNtmIbXW4c/WcTTrd047JfVGIclRPrgtHR48eOvad1sdOEQRvyaqIr8BwIlBnheJMTWp3aunxodLkTWrkA8Jc9pyBTqk8SetQ65dvMyLNZ0O72QVAzV/kNr7/2+sNo+PQccky8bg3H+30BRSi0e8BrGJEsnVeakgBUOItwvt2D9w+cj3owUhmwTookdUllyD1U8R+N4f1QzxHPEBmKhToRfMBpE9xjx45h4cKFAIAbbrgBjY0Rx/uJEydw4403wmw2w2w2o7S0FKdOnUJlZWW6ipNxhvO0NooBiNIZbFaTPjGl+0w1SwfKMZRSuNo9aHS59UkmQBEqiWpWLVUH0Op20EFFVzte4Dn4gyL8ARE8r4hfICThsxMXUT7Nrj88Bt7UmsURFiW4+wIRkVRP3N0XQGFeDqwWQa9jjkWAzWpCKCxF3B/qNW1WE8wCh7Yu36CWebJOVuEsgkngFCFXrUVRlNHrCYIQgnUPfB/b3m1ER48/RjQ0/7QvEEJnb0CNLyYwCRzy1Ikz43W0sgxHQADg5Dm34tZRJym13ywQFAGbBUBqQ+6hiv9oDO+Hc45491GqTAQfcNoE1+v1wmaz6Z95nocoihAEAV6vF3Z7xOeYm5sLr9cb7zRROBzJX0E8nljssCMvbxL+daQF7d0+TCvMxe1zSzHnuuKE33E47FjssOO9A80onBy5Kfu8IRDV52oWeFwWRYAoYkhU688kcNj7eSuCYSVrPgEBzxMImq+WAKVT7Wh3+5TPYgomLgEICPJtZnT3ByFTCkjKNkmi6PWGsPfzViyeWx7360f/2aRMKHVfjh7+q/+KMkV3fwDFBVZFjEnkNSwCT9DTH0RQlGEx8yibNhk3Xl+Mfx1pVuudwEonSkLrXl8o6f0iyZG2MyLLFA6HHdULZ6L+f75WfaaR4/JtFoRFydCJCSiUxCmiRJGXNynquosd9oTt80XTJXx0pAXtbh+mFeXijjj3x4Wuy/r1eVV0ASAsUt3nX71w5qB9Y6j3o1Z/IHpuIZVrxTvHwO3p6MslUyfjYlesjlw1xZb0epnUlbQJrs1mg88XCZqWZRmCIMTd5/P5ogQ4EZ2dntEv6AhJ5qS/utCKh5ZeF3V8ojo4HHZ9X4HNHGUZ8LziqxV4Drk5AnyqNaiIjqI6Ak9wuqUHvOpuoKAQRQqeJ+A4wGoRQEBRNtWONrcPQQJ1IiZx3ThCYM81o8RhQ3d/UHVRRCasZJni63NubP7zwbghUV+c6kAwLMX4Wo1IEkVXbwCEEPAc0VekaW4Qq5nH7LICVFVOx/4TF2ESeJgFDqFw/HXwlCq+3q5ePz45cj6htcRzkbpEbyfo7PTg6kIrahaU4y97TulhWHarSffnyrLiSxZ4AgoCSZLR6wng1Z1f4KF7rk85xlajpb0fb+xuRN+tM6K+SynVy0nU8im+eIpCuwVVldNxdaE1pb4xlPtRq//nTV34tsOjW+epXst4joEW/lDOMRRuvm4KGuLEDN903ZSU+t1okUzA0ya4c+bMwSeffIIf/OAHOH78OGbNmqXvq6ysxCuvvIJgMIhQKISzZ89G7Z8opMtJP9AdYbOa0OsJ6hNSZhOPsCiB4zjd+ukzxNEa0SISeI6go8evJ+8QOC7psLzEkYuVS67R6/HUK/uiogM09wAh8Zf7Nnx6DhQY9AWBEeORwm5VfPhGH3a+3aKfX1uEkWezoDPOUFU7H0cITDyX9Lcom2oHKGKiPUqnRkZlFc4iPHTP9TGuIVGS9XLLlCojBgqARHy8ia6rkaq/scRhg+tiREQ4QsDxBM6rJg86UTZSKpxFWDy3PEaQhhIJMBIXwVAZDRdOukmb4N5555347LPPcP/994NSii1btuDNN99EaWkpbr/9dtTW1mLVqlWglOK5556DxWJJV1HSRrqc9ANvnPJpdpRUTkfrJa/62YZedWlnjyeoT/7EQ1Ynhfp9Id1nSSkSZkriOYLpRVa88Mi8qO0ljly4LiodzyiixuGmVm+tXexWE/xBEYkgUGbKBYHD5ElmrLrzWj2cTVBfs2I1xJiGRVkPT0ok4wRAgT2yAivZjLg2itBE1+MPo6TYFnVcvE6cY+LxbadXGSEY2kLzqSe7rkaq/sbq+WV61InxwVB9S1nc76eb8R4JkEmBHw5pE1yO4/DCCy9EbZs5c6b+/8qVK7Fy5cp0XT4jjIaTPtFqJe1P2//l6U6YBR5mgSAkysi3mdHmvqwI6CBZ5qgqyNIgs2TaDP2Pb50Rs696fjl27D0Nrz+MsGrhcUR5BYoWMtXV60ejy623S45FgFngEVZjSAeSp14PAKYWWPU6b/6vo/AFlLwNvd6gPnloVrM8ef1hcAYfLs8T1W+tXDPZUlVjm/f5gvD4wiCq39dmNeFYU6c+EagxsBM3utzYsfc0ej3BKOHnOKIvdR7sHkh1QqnCWYQH7po1bqy20TIy0hUve8XG4V4JjHQm12gthEUZLe0efH7qEkwCh/Jpk/HdGYV6chhtpRigDLNli4BgWEKBzYIebzDh66W1SAONZJYhxxH8eIAPUaPCWYT/VDu+tqDCLCi5AYznHhgylW8zo9cbgiTLUQsueJ7gckCExcQjxyJEze6bBQ4XBuQ76PUE4ZyuJNR57d2T+korLVZXhpI8RBM8DeNvoS0XdrX3Q+A5PaYXQFT88GA5LbS2eP/AeZy50K9EEZiUKAVrgiWyAykptqHR1a1brZo1Hy+KZTxZbaNlZKTDSh7v1jfABHdEjDRQ25i9qtsT1IPSw2pClfPtHuTbzDGB+F5/GFY1XtWjTugkmkRSfLzxMxlxJDIEFgQOebmWpDem0epu+PRcTOez62IXuVqORUARr0QqcJyalV/gEBIjuUcfiBH52OgBtTKocBbhu85CdPT4o7KXmdQ8EdYBuQW03yKqzFQR8bAoK5OKhEQtb00lp4WxLYzpJwdeNx6NLjeONXVGLY/2+sPjzhqLx2iEi6XLFXdFx+FeCYzUSa8Jlscfjgrk14bKYVHShcC4LFP732Y16VmjjJamEY4DbFazkpwGAAeiz3pryzsBRSxT7TRa/V5796QeL2y0EEMixY9vnaG3yzUl+ZBkGTnm2NuNU0XUSEiUUGC3xPgttYeK9qAzvtEVAL5/nUP3cw/8LbTOaGxHQqDH+Rq3p5LTwtgWw1m6DMS6P1ovDR4aOdaM1MgA0hcve0XH4V4pjGS4p1kLoiRH2aDG8FBNCIzLMjWr1GoRUKD6Qft8IYTCkjZZDp7nQGUKs4lHns0Ci4mHxx+GfZIZJh7o7AuCUhollkPpNEZLM7ZeOVHt4nDYsfnPB1O2jLR2SZQJazgPOq0zGtvRuDDE+CqWVHJaGIm3dDkZE0EYEjEakQCjYSVn8ryjCRPcMUSzFhQRoLrocobFDFouWbvVpIdKGf2U1fPLo4b5RgJBEfk2M0IiRdk0e0xykpFOxAzF2hntY4f6oNM6o7EdOY6AJwQ8r0RJaAlc9p+4mNaOOxGEIRkj9SmPhpWcyfOOJkxwxxDtpn3/YDPOtfVDkqielAZQVjUtMISD5dstAKUIiTRGJIdqeYzGRMxQrpmuY1NF64w5FgEFiISClatvthh47nR23IkgDOkkXfGyEyEOl9B4y23GKeNxpdlo8W23H/+952u0diqRCCXFNlTfUjaubpbhko7VPMNhKFb9UI4dTv1GY4SRCcbLb5cuMr3SjAnuOCGbb+xsrhuQ3fXL5roBmRfcQV4IwWAwGIzRggkug8FgZAgmuAwGg5EhmOAyGAxGhmCCy2AwGBmCCS6DwWBkCCa4DAaDkSGY4DIYDEaGYILLYDAYGWJCrTRjMBiMiQyzcBkMBiNDMMFlMBiMDMEEl8FgMDIEE1wGg8HIEExwGQwGI0MwwWUwGIwMMe5fsSPLMjZt2oSmpiaYzWbU1dWhrKxsrIs1Yr766iv87ne/Q319PZqbm7F+/XoQQnDttdfi17/+NThuYj4Lw+EwfvnLX+LChQsIhUJ4/PHHcc0112RN/SRJwvPPPw+XywWe5/Hb3/4WlNKsqR8AuN1u/OhHP8Ibb7wBQRCyqm4//OEPYbcrCcJLSkpw33334cUXXwTP86iqqsKTTz6Z3gLQcc4HH3xA161bRyml9Msvv6Rr164d4xKNnO3bt9Nly5bRn/zkJ5RSStesWUMPHTpEKaV048aNdO/evWNZvBHx9ttv07q6Okoppd3d3fTWW2/Nqvp9+OGHdP369ZRSSg8dOkTXrl2bVfULhUL0pz/9Kb3rrrvomTNnsqpugUCArlixImpbTU0NbW5uprIs00cffZQ2NjamtQzj/lF17NgxLFy4EABwww03oLGxcYxLNHJKS0vx+9//Xv988uRJzJ07FwCwaNEiHDhwYKyKNmKWLl2KZ555Rv/M83xW1e+OO+7A5s2bAQBtbW2YMmVKVtXv5Zdfxv3334/i4mIA2XVvnjp1Cn6/Hw8//DAefPBBHD16FKFQCKWlpSCEoKqqCgcPHkxrGca94Hq9XthsNv0zz/MQRXEMSzRy7r77bghCxJtDKQVRX42em5sLj2fivkMqNzcXNpsNXq8XTz/9NJ599tmsqh8ACIKAdevWYfPmzbj77ruzpn7vvPMOCgsLdQMHyK57MycnB4888ghef/11/OY3v8GGDRtgtVr1/Zmo37gXXJvNBp/Pp3+WZTlKrLIBo0/M5/Nh8uTJY1iakXPx4kU8+OCDWLFiBZYvX5519QMUS/CDDz7Axo0bEQwG9e0TuX4NDQ04cOAAamtr8c0332DdunXo7u7W90/kugGA0+lETU0NCCFwOp2w2+3o7e3V92eifuNecOfMmYN9+/YBAI4fP45Zs2aNcYlGn+985zs4fPgwAGDfvn246aabxrhEw6erqwsPP/wwfvGLX+Dee+8FkF31+/vf/47XXnsNAGC1WkEIQUVFRVbU76233sKOHTtQX1+P2bNn4+WXX8aiRYuyom4A8Pbbb+Oll14CAHR0dMDv92PSpEloaWkBpRT79+9Pe/3GffIaLUrh9OnToJRiy5YtmDlz5lgXa8S0trbiZz/7GXbt2gWXy4WNGzciHA5jxowZqKurA8/zY13EYVFXV4c9e/ZgxowZ+rZf/epXqKury4r6Xb58GRs2bEBXVxdEUcRjjz2GmTNnZs3vp1FbW4tNmzaB47isqVsoFMKGDRvQ1tYGQgh+/vOfg+M4bNmyBZIkoaqqCs8991xayzDuBZfBYDCyhXHvUmAwGIxsgQkug8FgZAgmuAwGg5EhmOAyGAxGhmCCy2AwGBmCCS6DwWBkCCa4jAmDx+PBE088kfSYDRs24MKFC0mPqa2t1YP549Ha2oolS5bE3ffYY4+ho6MD77zzDtavXw8AWLJkCVpbWwcpPYPBBJcxgejr68M333yT9JjDhw8jnaHlf/rTnzB16tS0nZ+R3TDBZUwY6urqcOnSJTzxxBNoaGjAsmXLsHz5cqxfvx4+nw/bt2/HpUuXsHr1avT09GDPnj1YuXIlampqsHTpUnzxxRcpXysYDOKZZ55BTU0NnnzySfT19QFg1ixjZDDBZUwYnn/+eRQXF+Ppp5/Gtm3bUF9fj/feew9WqxV/+MMfsHr1ahQXF2P79u3Iy8vDzp07sW3bNuzevRuPPvootm/fnvK13G43amtrsXv3blx99dXYunVrGmvGuFJggsuYcBw9ehSLFy9GQUEBAOC+++7DoUOHoo7hOA5bt27F/v378eqrr+Jvf/tbVNa5wXA6nXoikxUrVuDIkSOjVwHGFQsTXMaEQ5blqM+U0pgcyT6fD/feey9aW1tx8803o7a2dkjXGJivONtSgjLGBia4jAmDIAgQRRFz587Fxx9/rOcy3bVrF+bNmwdASVAvSRLOnz8PQgjWrl2LefPm4cMPP4QkSSlf6+zZs/j6668BKHli58+fP/oVYlxxMMFlTBiKiopw1VVX4cUXX8SaNWtQW1uLpUuXor+/H88++ywA4LbbbsPq1atht9sxe/Zs3HPPPaiurkZBQQHa2tpSvlZpaSm2bt2K5cuXo6enB2vWrElXtRhXECw9I4PBYGQI5phiXJG0tLTgqaeeiruvrq4O3/ve9zJcIsaVALNwGQwGI0MwHy6DwWBkCCa4DAaDkSGY4DIYDEaGYILLYDAYGYIJLoPBYGSI/wc9bYwFCG9TNAAAAABJRU5ErkJggg==\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"total_bill\", y=\"big_tip\", data=tips,\n", - " logistic=True, y_jitter=.03)" + "sns.catplot(x=\"total_bill\", y=\"day\", hue=\"time\",\n", + " kind=\"violin\", bw=.15, cut=0,\n", + " data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Note that the logistic regression estimate is considerably more computationally intensive (this is true of robust regression as well) than simple regression, and as the confidence interval around the regression line is computed using a bootstrap procedure, you may wish to turn this off for faster iteration (using ``ci=False``).\n", - "\n", - "An altogether different approach is to fit a nonparametric regression using a `lowess smoother `_. This approach has the fewest assumptions, although it is computationally intensive and so currently confidence intervals are not computed at all:" + "It's also possible to \"split\" the violins when the hue parameter has only two levels, which can allow for a more efficient use of space:" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"total_bill\", y=\"tip\", data=tips,\n", - " lowess=True)" + "sns.catplot(x=\"day\", y=\"total_bill\", hue=\"sex\",\n", + " kind=\"violin\", split=True, data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "The `residplot` function can be a useful tool for checking whether the simple regression model is appropriate for a dataset. It fits and removes a simple linear regression and then plots the residual values for each observation. Ideally, these values should be randomly scattered around ``y = 0``:" + "Finally, there are several options for the plot that is drawn on the interior of the violins, including ways to show each individual observation instead of the summary boxplot values:" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { + "image/png": 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72sLzvpSo6/T16f3wHAUlMd+vLXXQ198/kVKuyE5MFSYhxLNAj5TyRPTLMTaN6W5IKV+VUm6TUm6rrKw0xcbZcr2BZESYVB3TdKg1psQZ9cWe9GtXwnQDEWHKKyqP+f6SUv3zduXKlZTZpDAea/xN5sS9wEeFEE8DeUAxugdVKoSwhr2mWiBrig+uF42GOz+EX1ehvBsZHx8nGAyorLwECIVCjI6OMtDRiGe4B7/3+sA7u0V/dow8EM13ent7sdoc2Bz5Md+vKXZg1QSXL1/m1ltvTbF1CqMw1WOSUv4XKWWtlHI58Elgt5TyN4EPgF8Pb/Yy8FMz7TCS6UJ5SphuRLUjSpxIpufC1VtZ//BLVK3cNPGew6rdsM18p6urC2fxgmlr46yaYHGJg8vNzSm2TGEk6SrE+TPgj4UQTehrTt9Okx2zZnJnY02F8mJyfRaTCuXFYyYRd1j1z5fymPSHv66ubpzFFTNut6zMQUdHx/VJ04qsw+xQ3gRSyj3AnvD3l4E7UnVuI/H5fFhtDkS4uFZT3cVjcj3k6YyzpSJyrTovHaX3at0Noby8sMekbrIwMjKC1+uhsmTm9eZlZXnsY5jLly+zYcOGFFmnMBLVumCWTO5mYAl7TCqd90aud4BWobx4RIRp+W2PTwnlOW16PzglTEz0wSsoq55xu8Ul+jpTswrnZS1KmGaJ1+u9Yb5QpCuREqYbUUMCE2emUJ7Tpn/AIjOI5jPt7e0A5JdWzbidVRPUljpobLyUCrMUJpCyUF6u4PF4bvACtPDgC9U48kYmbrYOFcqLR+RaXTnxPsJivSGUZ9EETrsFl8uVLvMyhoMHD6JZrFzc/+O42y4vy2NPczdut5vCwql99RSZjRKmWeLxeLHm37j4arVoSpgmMZH8oOqY4hK5Vjc/+AmsNgftFw7Rdm7fxPuFSpiQUhIMhiivvZmb7nzmhvcOv/XlKdsvL9MfHpubm9m0adOU9xWZjQrlzRKv1ztlQd+qCcbHVaPNaDweDzaHU428SIDI3CrLNHOrCu0aI8PDKbYqs+jv78fjcVO0YFFC29cU27FZNJqamky2TGEGSphmQTAYxOfzYp1U3Ge1qJk5k4kl4IrY6Ndq+rlVxQ4LQ8NDKbYqs4g0Zi2qqE1oe4smWFpqp1kJU1aihGkWREIutknrJjaLplrGTMLj8aj1pQTRMz2nv1bFeVZcLve8TrC5fPkyVpsDZ/GChPdZVpZHT2/vvA+DZiNKmGZBpDGkLe9Gj8mmqV5mk3G7PcpjShCPx3NDpudkSp1WpJQTnbXnI82XL1NYUTtRP5gIS8PrTJcvXzbLLIVJKGGaBRFhmhzKs2lCtYyZhPKYEkfP9Jz+WpU69Ryl/v7+VJmUUYyMjNDX20tx5ZJZ7VdTpK8zKWHKPpQwzYIJj8lRcMPrdqvAr4RpAillOPmhIP7GCjxe74wiXp6vC1Oks/Z8I1IoW1y1dFb7WTTB4mI7LarTeNahhGkWXA/l3XjDdVg0xsZUL7MIo6OjhELBKWtxiqlIKfG4Pdhm8JgK7RbsVo2enp4UWpY5NDU1YbU5KCidueNDLGpLHXR0dqqIRpahhGkWuFwuhKZNabPjsGqMqg/+BJHF5skCrpiK3+8nEBif8VoJIajIt9Hd3Z1CyzKHS5caKapcMqv1pQi1JQ6klLS1tZlgmcIsVIHtLBgZGcGeVzAlrddhFar7cxRKmBLn+rrlVI/pvYaBibEXXn+Q4Y52pJTzqjasv7+fwcEBli+/Lan9F5fotWGtra3cdNNNRpqmMBElTLNgZGQEW97U9iZ2i4bfP04oFEJL4qku15gQJrXGFJeREb39kD3G5+rJm8tZUqp758daR3j/0iAjIyOUlMQeK56LNDY2AlBSvSyp/Z02C2X5NlpbW400S2EySphmwciIK6YXED3MzelU6yoTwuRUwhSPRL3L6mL9yf/atWvzSpguXbqEI7+IvKKZ65fqOj1cG4odTg8GQ1xrU8KUTShhmgUjrhEKq6cuwEZm5vh8PiVMhNfihKbqmBIg4jHZnDM3Gl1YZEcIaGtrY/369akwLe2EQiEaG5sorl4ZN3y5oaaAR24qi/neoZZhdjUN4fF4KChQD0vZgBKmBAkGg3g9HsqjvIBQKMTlfh+dLr24Vq0z6YyMjGDPL5xXayHJMjQ0hKZZsE2qjZuM3aJRVWifaM0zH+jo6MDn87K4enncbWfymEYDoYnjrV692kgTFSahhClBrodcrj/ZaprGygVONi4q4AcneybGF8x3hoeHY67FKaYyNDSEPb8oIRGvLbFz7upVgsEgFoslBdall0uX9HlKl0/8kisnd8647Uwek8cf5G/2XVPClEUoYUqQ4XB3567GE/S1ngeuj1OPDuUpYGh4GHteabrNyAoGBgex5xcntO3S0jxOXHPT0dHBkiWz64KQjTQ2NpJfUsnGJ/7DjNvFGnsRTYHdQoHDSldXl5HmKUxEpZAlSGQt4KY7n2H9wy+x/uGXJjLwlDDdyPDwMPb8onSbkRUM9A/gyE8smWFpmT7baj6MchgfH+fKlSsUVyWXjTeZygIrXZ2dhhxLYT5KmBIk4jHZnFNvuE6bHlZRwqSvs/nHxrDHuE6KG/H7/bjdLhwFiQlTkcNKZaF9IsSVy1y9epVAIJB0mvhkKgtsdPd0I6U05HgKc1HClCAjIyMIocVcpHZY9fHqkbEY85lIB2zlMcUn0vsur6g84X1WlDm4cvlyznezb25uBiEoqjAmZFlRYMPvH594wFRkNkqYEkQPT8XONBNC4LBZlDChL+YDOBJcN5nPRITJOQthWlXhJBAM5nw4r6mpicKyaqx2hyHHW5BvA5i3/QazDSVMCRIv08xp01Qoj+vClOiC/nwmcpPMK4ydTRaLZWV52CwaFy5cMMustDM+Pk5raytFlbPrJj4TCwr0PC8lTNmByspLkKHhYezO6Z9s86xKmEAP5QmhxWyxo7iRw4cPIzQLDft/dMPrfu/ItPtYNcGq8jzq6+p44YUXcrIFVmtrK8FgkKHOy7gHjElYiHRo7+3tNeR4CnNRwpQAUkr6+/uxOnzUf/DGxOuRdHEAp1Xg8XjSYV5GMTg4iCO/KKlO0PONvLw8cJZz8/0fv+H19guHaDu3b9r91lY5aajvp7W1leXLl5tsZeq5Ep6ftP7hlxIaNhkvXRz0cPuCfJvymLIEJUwJMDo6igyFWLTmdmrW3jHx+tEffWXi+zybxohXCdPg4CD2BLPM5jOBQICenh4Wrrkj/saTWF2ZjyYGOHfuXE4KU0tLCxabnYsHf2LoccvzLXQojykrUMKUANfXTabPNHPaNLwjKvmhf2CAvHLj1gZyle7ubkKhEAVlVbPeN8+qsWpBHqdPneKZZ57JqXBeKBSipaWFBUvWsXLbkwntk4jHBHoCxPmuIcbHx7HZbHMxU2EySpgSIJEFfafNgm/UM69HXwQCAVwjLkqWqK4P8bh27RoA+UlMZQVYv7CAxro+WlpaWLlypZGmpZWenh6952Rv2w1hcyMoz7ch0bMha2pqDD22wljm5x10lkRqcxzOmYRJQ0o5rxu56tdJJlwwOp9pa2vDas+bVUZeNGsqnNgsGidPnjTYsvQSaVJrsdoNP3aFShnPGpTHlACDg4MITZtxNIHTpmu8x+MhP3/mTtG5ysDAAIASpgRobW2joKw66Q7sdqvG2konZ06f5rnnnsuZ0FRraytWex4bHvtMwtcm0VBeeThlXGXmZT5KmBJAzzQrnvEPJSJM87nItr+/H4C8AhXKm4mxsTE6Otqx5xfHDFfNlC4eza01BdR19XD+/Hk2bdpktJlp4erVqxSU15gyMsVu0Shx2uju7jb82ApjmVGYhBA/B6ZtLiWl/KjhFmUg/QMD2OM02oz0y5vPKeP9/f1oFkvcoXfznciY7xVbt1NWs2rK+/HSxSOsKM+jKM/KsWPHckKYxsbG6O7uZtG6u007R0W+hW7VZTzjiecxfXUuBxdC5AH7AEf4XD+SUv5PIcQK4F+BcuAk8GkpZcY2/+rv76ewauoNJJp85TExMDCAo6BUDQiMQ6ROp2jB4jkdRxOCjQvzOXjxIsPDw1k/cv3atWtIKSlcsMi0c1QW2Dne3jOvk5SygRmFSUq5d47HHwMekVK6hRA2YL8Q4l3gj4G/kVL+qxDiH4FXgH+Y47lMYXR0FK/Hw4I4i9T5ymOir79frS8lQHNzMwVl1VjteXM+1qZFhRxoGeH48eM8+uijBliXPiKeZPv5Q3Q0HDHlHJWFNgLBIH19fVRVzT5VX5EaZnxkEEKcE0Kcne5fvINLHXf4R1v4nwQeASJ9WF4Dnp/D72AqE+smRTMLk8MqEGL+ekxSSgb6+3Go9aUZGR8f5+rVqxRVGtM1uzzfxrKyPI4eOXJDJ5Js5OrVq2hWm6ldQ6oL9Wy/jo4O086hmDvxQnnPzvUEQggLcAK4Cfgm0AwMSSkD4U2uATFjGkKIzwOfB1i6ND1Fm5EMnnhpvUII8u3Weesxeb1exsbGVOJDHFpaWggEAgx3tUxbpxNJfnivYQCHNf5N2uMP0u8doLm5OatHh7e2tlK26CZW3zW7petEs/IAKgptaELQ0dHB5s2bZ2uiIkXEC+VdnesJpJRBYLMQohT4CbAu1mbT7Psq8CrAtm3b0jLhK1Lz4IwhTKFQiMv9Pr53XF9MDQRDuN3uKdvNByKepaNQCdNMXLp0CaFpbHj001hssWt1IskPT95czpLS+OG+8WCIb+zv4MiRI1krTENDQ4yMjOAIakkV1tZ1erg2NJbQtjaLmChwVmQm8bLy9ksp7xNCuNDFQ0R/lVImPNtASjkkhNgD3AWUCiGsYa+pFshYv7qnp4e8wlI069Q6EU3TWLnAyXMbKgB4/UQXnnkqTJEaJuUxzUzDxYsULlg8rSglg82icevCfE6eO4fH46GgoMCwY6eKlpYWAFbf/VEKy2fXleHwW19mQ00Bj9yUWLHyz8/30djWhpRSJepkKDPGCaSU94W/Fkkpiyd/jXdwIURl2FNCCOEEHgMuAB8Avx7e7GXgp3P5Jcyko7MTZ3FFQtvm2yzKY1LJD9MyPDxMZ0dHzBTxubJlcSHBYJATJ04YfuxUcPXqVTSLlfxS8xMSFhU78Pp8Ew9Tiswj4QJbIcRtwH3oHtN+KeWpBHarAV4LrzNpwFtSyneEEOeBfxVC/C/gFPDt2ZtuPoFAgL7eXhauTawXWYHdQkvf/BSmgYEB7Hn503oCgfExAuPjdHR0sGiReenAmUxkuF9/WwODnc3TbpdogW00VYV2Fpc4OHz4EPfff3/WeQKXL1+hsLwGTbOYfq7FxfpU3NbWVhYsWGD6+RSzJyFhEkL8D+DjwL+HX/quEOLfpJT/a6b9pJRngS0xXr8MzL7ff4rp6urSO0An+BSXb9fwjY4SCASwWudXU43+/n5CodC06wOegS5CwQA7duzgc5/7XIqtywzq6urIKyiJ224n0QLbyWxeVMAvLvTS0tLCihUr5mJqShkdHaWjo93Uwtpoqgpt2CwaLS0tbNky5fakyAASvXv+BrBFSjkKIIT4K/TC2BmFKdu53gE6MWEqsOtPe263m9LS+bXW0j8wQEn1ClbfHTuj6uz738E73MtAf1+KLcsMRkdHaWxspGrVbaZ5M+urC9jZOMTRo0ezSpiuXLmClJLB9kZGettMP5+mCRYX22kJFzorMo9EhakFyAMirbMd6GnfOU1bWxtC07h8/L2Y70+uGyly6MI0MjIyr4QpFAoxPDTEwqo1cbftHxicl1X3Fy5cIBgMUrY4/jVKFrtV45aq/InGrnl5cy/gTQVNTU1oFgsbHv10zCSjeMwmXTzCklIH+1s68fl8OJ3xp+QqUku8rLy/Q19TGgPqhRA7wz8/Duw337z00traSnHlUtY9+ImY70dPsAUoDHtMLpfLdNsyiZGREUKhUEKJD8FgkIGBASoqEksoyRVOnz6NZrHSVhc/RDfbOqZoxoIh/OPjnDlzhjvvvDMpW1PNpUuXKFxQm5QoJcvSMgfyiuTKlSvccsstKTuvIjHieUzHw19PoNcgRdhjijUZhM/no7Ozi9r19yS8T1GeLkzDw8NmmZWRzHbcRXd397zn0HMcAAAgAElEQVQSJp/PR0NDA1WrtrB8c/y2QbOtY4pGSsk/Hu7i2LGjWSFMIyMjdHZ2suTWB1J63toSBxZN0NTUpIQpA4lXYPtaIgcRQvxYSvkxY0zKDPS6CklRRW3C+xTYLQgx/4RpYpBiHGHSBIQktLe3s379+lSYlhGcPXuWYDBIxZJYteXGIoRgU00+u5uu0tvbS2VlpennnAsNDQ0AlJqQQj8TNotGbYmDxsbGlJ43FQghCoC30GtELcBfAk3AXwOFQB/wWaAXOAT8JynlHiHEl4CQlPK/pcPuaIwK9OfObOcwzc3NCE2jcBYdoDUhKM6zTdyo5wvXJ/wWzbidTRMsKLDT1mb+Ancmcfz4cZxF5RTMsnA0WW6tKUAIsqKmqaGhAbuzkPyS1AvoivI8Ojs7czH0/iTQIaXcJKXcALwH/B3w61LKrcB3gP8dbnDwWeAfhBCPh/f7izTZfANG5TSnpV2QmRw5cgTNYqXhw3+bdptYTTNLHNq8FCZNs3Bhhms16h6CkGRxsY3m1qvzpuq+v7+fK1eusOTWB2b9+yazxhTBYRHs3buX7du3Z2yiSSAQoKGhgdLaW9LyWVi5II89zfoa19atW1N+fhM5B3xVCPFl4B1gENgA7AxfZwvQCSClrBdCvA78HLg7U8YPza9imwRxu934fKPUrr+X2vX3Trvd4be+fEOvPIB+7zhj7vnlEQwODuIsqWT9wy9Nu83Z979D0N1HbYmDs50D9PX1ZXyYyQiOHj0KQlCxLLWhywK7hX7vOFeuXGHVqtSGyRKlsbERv9+Pq/9aUv3x5kpNkZ18u4WGhoacEiYp5SUhxFbgaeBLwE6gXko5XaHYrcAQUJ0iE+NilDDl1KPvxYsXAUlpzcwRysm98gA+vDzE3svD+P1+7Hbj+qFlMoNDQzjyE0uPX1amL+Y3NzfnvDAFg0GOHDlK6cKVOPITbis5QTLJDxH8gRB//WE7p0+fzlhhOnfuHBabnVsfexnNkvytKJl0cdDX41aV53GxoSGnShiEEIuAASnl94UQbvQJDZVCiLullIfCs/HWhL2lXwMWAA8A7wgh7pBSDqXRfMA4Yfozg46TEZw/fx57XgEFZQtnve+CAj3lta+vb1603pFSMjw0RPmyxOYLledbKXRYaWxs5K677jLZuvRSX1+P2+3CqTlm5RHMJV08Grume2zPP/88Fov5rX5mQzAY5Ny5OspqbpqTKM2V1ZVOznX1cfXq1awqSo7DrcBXhBAhYBz4bSAA/K0QogT9vv91IUQ38FfAo1LKNiHE3wPfQO9fmlbi1TGdI/b6UaS7+Eb0b35pgm1pIRAIcOHCBUpr1yUV964IC1N3d/e8EKbR0VHdO4yT+BBBCMGKMgdNjY059ZQai/37D+AoKGbj9t+a1fC7uaSLR3Oxx8u/ne2lqamJtWvXJn0cM2hqasLn87KkNr12rVzgRBOC+vr6nBEmKeX7wPsx3oqVkz9R8S2l/FvTjJol8f5angU+EuNf5PWc4+LFi/j9fsoWJzfXpjxfH0TW2dlpsGWZSSQ13p6fmDCBvujs8XpzeiZOZ2cnly83U73qNlMnss7EqgVO7FaNM2fOpOX8M3Hq1CmsNkfccLnZ5Fk1lpc5OHfuLFLmXA5X1mL6oMBs4/Tp09jsTkqqlye1v1UTVBTYaG9vN9awDGVCmBL0mEB/SgU9VThdk4nNZt++fSAEA+2NM3YSj0Uy3cVjYbUI1lQ4OXf2LB/72McyJpw3Pj7Oubo6ShevNiyMN5tBgZNxjwUZ8A3Q1dVFTU1qUvoVM5Nod/G70PPg1wF29HRDz2wGBWYDY2Nj1NXXU1a7bk7t92uKbDRdmx+DyJIRpgK7hcUlDs6fr2f79u1mmZY2RkZGOHnyJNUrN7Ni6+x/v2S7i8diXVU+dV29NDc3s2aNeX36ZkNDQwNjo6Nog92GZePNZlDgZNxjQb7+4TXOnj2rhClDSPRx5e+BTwL/BmwDPgPcZJZR6aKuro5xv3/Oqb2LShyc6Rygv78/51vvjIzoT/d2Z+Gs9ltd4WRPczvDw8OUlOTWcMH9+/cTDAZxD3YldeM1KvkBwuOmhZ4BlynCdOLECTTNgtWWGU1mCx0WlpblcfbMGbZv357zD5PZQMJ+tJSySQhhkVIGgX8RQhw00a60cOzYMfIKSmbVhigWS0r1QWRXrlzJeWEaHh7G5nDOOiSzttLJnuYh6uvrueeexPsRZjo+n48DBw5QXruWNfc8n9QxjEp+iPCjs73U19XxwgsvpD3ZxOv1cuHCBb1v4Jb4fQMT4fBbX55TKA/C4bzBHjo7O+dF0lKmk+jdxCuEsAOnhRD/B71quMA8s1JPX18fTU1N1G6Y+/TPygIb+XYLTU1N3H777QZZmJmMjIxgy5udtwR69mJZvi3nhOngwYOMjY2xJkVD7xJhTYWThvP9XLt2Le1rehN9Aw0uOJ5LKA/A49fDeadOnVLClAEkKkyfRs/g+z3gj4AlwK+ZZVQ6OHLkCABDHc0Md7cktE+slkSgp0QvL3Nw6dLFnF9n0oVp9s8oQgjWVjg51tTE6Oho1swOmomxsTH27t1H6cKVFJRlTBE9N1U4EUKvz0u3MJ04cQIhNC7s/VdDjztXjwnAYdHYv/9DnnrqqbR7lkYihJDA96WUnw7/bEV3Lo5IKZ+dYb+HgD+daRuzSFSYnpdSfgN9UOBfAAgh/gC9GCvrGR8f5/CRI5QtXsPae19IeL/J85iiWbXAyfnuftrb26mtnVtoMJMZGRnBVpZYce1k1lQ6Odw6QkNDA5s3bzbYstTz93//93i9HrC757Sob1RWXoR8u4XaEgfn6+t58sknDT32bBgYGND7Bm64n8W3GOclH37ry3P2mADqujy8XddHc3Mzq1cnVy4Sj//y3/98n8ViM+zpIBgcb/3SX/55vJkhHmCDEMIppfShz9PL6LThRIXpZaaK0GdjvJaVnD59Gp/Xy/Lbt8xqv1AoNKVX3sR74ZqIurq6nBUmKSUul5uFNclFdWtLHeTbLdTV1WW9MI2NjdHV1QVCMOaZ29iTUDBgkFXXWV3hZHdTJ0NDQ2mbrnzq1CkAFqS4b2CirK104rBaOHbsmGnCZLHYlm5++vPLjDre6R2vJrrpu8AzwI+A3wB+CNwPIIS4A/g64AR8wG9JKS9G7xwepfF36F0lrMCfSyl/asCvEJN4nR9+A3gJWCGE+FnUW8VAv1lGpRIpJfs+/JD84gqKq2b3eYnVKy+a753o5uyZMzzxxBM5Gc7z+XyEQsGk1phAHxOypsLJhfPnCQQCWK3Z21P4wIEDSClZ/+inKJrFqJRYGJkuHuGmCie7m4ZoaGhIWyuokydPYbU7aT76i7ScPx42i8b6ar3uy/fCC7k2cv1fgf8hhHgH2Ig++uL+8HsNwANSyoAQ4jHg/wUmz9f7b8BuKeV/EEKUAkeFEL+SUnrMMDZeIPUg8DV0w78W9e+P0Wd3ZD3Nzc10dnRQvXqr4eKxoTqfnt7enC22jaSKJ7PGFOHmqnzG/H4uXbpklFkpx+fzsfuDDyitWTlnUTKLygIbxXnWicF8qaazs5Pu7i7sSTSzTSWbFxcyHghw8uTJdJtiKFLKs8BydG9px6S3S4B/E0LUAX8DxHJptwNfFEKcRp9gngeYtmA5ozBJKa9KKfeE26U3AEXhf9fCQ6aynj1792Jz5FNpQnhhXXU+Fk1w/Pjx+BtnIZEBa3MRpuXleTisGnV1dUaZlXL27dvHqM9H7fr742+cJoQQrFqQR+OlSwSDwZSf//Tp0wBoGdJ9YjpqiuwsLHJw6NDBXGxR9DPgq+hhvGj+EvggPFTwI+iiMxkBfExKuTn8b6mU8oJZhiaUeiKE+DhwFPg48CJwRAjx62YZlSq6urpouHCB6ptuQ7PaDD++02bh5ionx48dw+/PiPlbhhIRJvschMmqCVZXOKk7dy4tN8y54vF42Lt3L+W1aygsn303+lSyaoGTMb+flpaWlJ5XSsmZM2cQmgXfSD/eoR5D/xmJEILbFhfQ1dXN1as515HtO8D/I6U8N+n1Eq4nQ3x2mn3fB74gwmElIcTsFuRnSaJB/f8buF1K2QMghKgEfoW+kJa1fPDBB1isNqpvMu8a37a4iPqubk6dOsWdd95p2nnSgREeE8At1XrbnEuXLrFu3TojTEsZu3fvxj8+ntHeUoTl5XkIoU9sTeWMpq6uLvr6+lhx23ZT/taSncc0HRsWFrCraZgDBw6wfPlyQ4+dTqSU14idsPZ/gNeEEH8M7J5m979ET5A4GxanFvRm3qaQqDBpEVEK00+C3lamMjg4qNdUaNpsMltuYLo6pmiWljqoLrKzd+8ebr/99pyqj3C5XGiaBYvNkdD24yEZM4NRoidCnDx5MquEaXhYv3nZncVcOWnc5Bej08Uj5Fk1Fhc7uHTxIk899ZQp54hFfX09QNId+1ON3aqxqSafE2fO8JGPfITiYuPWxYLB8dZk7zfTHS/eNlLKKdlJUso96GtFSCkPETX+AvjvMbbxAf9xjuYmTKLC9K4Q4n2uxyY/wdQFtKxi7969CKGx+an/iKMguQ/eTHVMEYQQ3LW0iJ/W93LhwgXWr8/MVNlkcLlcIATn90wOWU9l1K0PxfzMttjhrh0X+jl37lxWFdv+6le/IhgKseGhT5JXaFwKdiQrz4heeZNxjQUYHr6G1+slPz/f0GNPR11dPYULFs26n2I62bakiKNtLg4dOsQTTzxh2HETqDlSkLgwSeBbwH3oi2CvAlk7ftTlcnH48BEqlq1PWpRmwy3VBey9PMKvdu7klltuyZnUcZfLRX5JJesffinutmff/w5Bd9+0729aVMjJdjcnT57MihZFAwMDHDlylMoVGw0VJbPJs2oME6SxsZFNmzaZfr6RkRGuXWvDkV9iWCfxVFCeb2N1hZODBw/wyCOPYLMZvwatmJ5EhelxKeWfAf8eeUEI8Rdk6Uj1/fv3EwiMs+jm1Kz5WDTBPcuL2HHhGhcuXOCWW25JyXnNxuV2Y3UY89S9qNhOdZGdgwcOcPfdd2e8eO/cuRMELDaxJ55RTVyjCYYkX9t3jaamppQIU6QMYM29L5jWpsnoNaYIdy4t5vsnuzl58mTOrQ9nOvEKbH8b+B1gpRDibNRbRcABMw0zi9HRUfYfOEB57RqcxQtSdt5NNYUcanHx7o4d3HzzzTmx1uRyuXAa1D1dCMHtS4p453w3ly5dyrhR4NH09fVx7NgxbM5Cmo68Y/jxzVpjAv0haWmpg8bG1NSNXbx4EVtePvmlVSk5n5EsK3OwsMiRk+vDmU48j+kN9FYWXwK+GPW6S0o5YJpVJnLo0CHGRkdZfXNqI5EWTfDgqhLeruvi1KlTbN26NaXnN5pQKITH7aGk1rgm87cuLGDf5WF++ctfsmbNmoz1mnbt2oVmsXLrYy+bsm5iRueHaJaX5fGrxn7TZ2FJKWlsbCI47uf429nXvUwIwZ1LC/lpfS8XL17MqsScbCfeaPVhYBi9WjjrCQQC7Nu3j5LqZRSWp35S5frqfI60Otjxi3fYsGEDDkdi2WyZiNfrRcrQnFPFo7FognuXF/Nuw1XOnz+fkYkiAwMDnDhxgqqVW7JqMT+aZWX65665uZnbbrvNtPP09fXhdrtYsfUJqleZ1wvRrFAe6OvDu5uH2bt3jxKmFJK9zcmS4OTJk3r4ScszZCE2kXTxaIQQPL6mlO8d72bPnj2GZvukmkgNU3fzKfqvXYyzdTgrLxS/kn7zokKOtrn4+c9+xtq1azOuf96ePXuQQM3Nd6TblKSpLrLjsFpMF6YrV64A0HP5DH2t5007j5lYNMEdtYXsamqmvb2dxYszs+XUTAghgkB0Ue3zUsoWk871WWCblPL35nIcU//qhRBLgO8BC4EQ8KqU8htCiHLgTfTeTS3Ai1LKQTNtkVKyb98+8ksquXX7bxkSJkokXXwyS0vzuKU6nw9272br1q1ZO+E2Ikwrtj5BcWX8sRfxsvIiWDTB9tVl/PB0D7t27coo8fZ4PBw9ekzP5kxBz7c3TvagmRTNDEq4crnZnIOHaWtrA2DUbeqfNmDMPKbpCEnQhF5i8tJL8TNQZ+Iv/tuf7bNqwrAec4GQbP2f//vL8VLQfVLKrGrfb/bjaAD4EynlSSFEEXBCCLETve3FLinlXwkhvoi+fmVqhl9TUxNdXV3kFZUnVHeTCLP1mCI8trqMpv5O3n77bV555ZWMXUuZCbfbDYDNoKy8aFZVOFm/MJ9du3axfv36jBkbcvDgQQKBcfrbGhi4Zl7yQGTsxUu3VRmelRfhYMswu5v6cLvdFBaaE5JsbW2juGoZtzz0SVOOH8GoeUwz8cuLAxw/fZpnnnlmTutyVk0s/d17Fxs29uKbB5JrEC2EsAB/BTwEOIBvSim/FR4O+BdAN7AZPRP7HPAH6GMxnpdSNgshPoLeEciO3nDhN6WU3ZPOUQn8I9ebvf6hlDKhpDlThUlK2Yk+KREppUsIcQFYDDyHfkEAXkOvLjZVmA4cOIDN4WTj9t9Csxjzax9+68vTzmOKR4FNo6GhgbNnz6YkbddoJjqLm7TO8uTaclqHuvj+66/zh3/0R2kvug0Ggxw8eBAQpsxLuoFw81AzCmwjjAX0h6qWlhY2bNhg+PFDoRBdXV1UrTK1pVrKuD2q4DadwxaTxBnuCg5wRUr5AvAKMCylvF0I4QAOCCEi7Us2AeuAAeAy8M9SyjvCw2G/APwhsB+4S0ophRCfA/4z8CeTzvsN4G+klPuFEEvR++0ltFCXsgC+EGI5sAU4AlSHRQspZacQImYuqRDi88DngTmNhB4eHqa+/jwL19xumChB/HlMMxEKSb5zvIu3f/ITVq9enbIqfKNwuVxoFisWq92U4zttFp5fv4Dvn+zmhz/8IS+//HJa03Xr6+v19cniCqwOc+f0+L0jjHmGTaljijAeDPGVPddobW01RZj6+/sJBgM4SyoNP3Y6KMu3sabCyaGDB3nssccybu0zDrFCeduBjVHNuEuA1YAfOBa5PwshmoGIYJ0DHg5/Xwu8KYSoQfearsQ472PALVERoWIhRJGU0hXP4JRcXSFEIfBjdFduJNHQlZTyVfQuE2zbti3pHvQnTpxAyhDVK431TGaaYJsQUuJyu3nnnXd48cUXDbXNbFwuF3ZnoalhyGVleTy2uoyd9fW8//77Ke3vNpnDhw+jWaxY7bkxPM5m0VhYZOeqSZ3Ge3r01ppdjSfobZnczDo72bqkiEunejh79qypSSMpQgBfkFK+f8OLeigverEuFPVziOua8XfAX0spfxbe589jnEMD7g732ZsVpguTEMKGLko/kFJGOkd0CyFqwt5SDWBs7/oopJQcPXaM4spa8oqMjUHPxWOKsLtxkINHj7JlyxbTxjmbgcvlMqzrw0zcsaSIPs84u3btoqysLC3TV0dGRmhsbGTRzXex5FbzW52Z2SsvGt94kP72dkKhkOHe6MCAXua47oEXseWZ+zkxM108mpXleZTl2zh86FAuCNP7wG8LIXZLKceFEGu4PvoiEaJHZbw8zTa/BH4P+AqAEGKzlPL0NNvegNlZeQL4NnBBSvnXUW/9DP2X+avwV9Nmx3d2dtLX20tB2ULDe3Ulm/wQzf0rS2jo9fHWW2/yp3/6n7KmtmlkxIUtr8j08wgheHJtOSOjQX784x/jdDpTviZ35swZpJRULEttKykzQ3kAp9pd/OLCAAMDA4Znhw4MDCCE4NKhtw09bjoRQrCppoA9zVfo6+vL2ozaMP+MnhV9Mnyf7gWen8X+f44+9bYdOAysiLHN7wPfDHcNsgL7gP8rkYOb7THdC3waOBe1+PZf0QXpLSHEK0Ar+gBCUzh7Vu+kJDK0nYjNovHsunJeP9HNjh07eOGFF9JtUkK4XC6KalJTpGzRBB/bWMEbp3p44wc/wGq1prT49uzZc+SXVOIszuob0RQWFunrg+3t7YbfZF0uF3mFpQk1+J0rqfKYADbWFLCneYgTJ04kVcoQCMnWZDPppjtevG2mGXsRQr8X/9dJb+0J/4ts91DU9xPvSSl/SgyHQkr5XeC74e/70CdRzBqzs/L2o8cyY/GomeeOcP78eYoqa1n/8G8afuxk6phisbQsj9uXFHHgwAE2btyY0iFuyRAMBvF6PZSbHKKJxm7R+OTmKt442cP3vvc9Xn755ZQ0w/X5fLS0tFCzNnsLaqejokDvmN3d3R1ny9njNrDBbyZRnGdlaVkeZ06fZvv27bNeY02g5khBjnd+cLlcdHR0mNZyPxQKUd/t4VKv15DjCQFvvvmv/Mmf/GlGh/QmapjyUtuSJ8+q8RtbKnnjVC+vffe7fObll033nJqampAyxFDXZVz9xj3pzoSZTVyjsVk0yvJtdHUlmbwzA16vF4stNxJFJnNLVT7vXeylt7eXqqrsa06bDeS0MLWEM45uuvsjFC0wvpXI0R99hfVVc0t+iObq4Civn+jm3Xff5fnnZxPuTS3XR6qn/onYabPw0pZKfniql++99hqf/sxnTEl3jtDS0gJCmJYWn27KnRb6++N35Jgt/vFxvG5XVs1gSpTVlU7eu6hHY5QwmUNOC9PVq1cBQeuZPbo7YjBzThePQbnTyv79+9m4cSMrV6407LhGMiFMDuMauM4Gp83CS7dV8cNTeljvU5/6FBs3bjTlXK2trQgh8A73mnL8WJhewBtFqdPK+T7jBwUExgMgUreua2ZLoljYLRpNTU089NBDKTvnfCKnham9vZ2CsmrWP2L8+hLoHtNc08Un4w+EePVIF2+9+SZ/8qd/mpGTM697TOkRJtDDei9tqeKHp3v4/uuv85uf+pTh2XpSStrb2xGaxdDjZhIleVZ8o27jR9oLCIx5CI6PGnfMGTC7JdFkdlzop/7KFVNS7RU5Lkw9vb04ixel24xZYbdqPLOujB+c7GHnzp08/fTT6TZpCmb2yZsNDqvGb2zWxekH3/8+FovF0LCe2+3G7/cjhEaI1HkxkZZEqaDArouu2+02VJg0oVG2eDWr7/qoYcecjlRm5UVYVOLgZLub/v5+Kitzo7tFJpGzwhQMBhkeGmbxIvMyt8wI5UUosGvs3r2bzZs3s2hRZomrx+PR2xHZ0r/uEhGnN0718Prrr/PKK6+wZs0aQ44dKRLNKyo3vQ1RNJGWRKmgMEqYjEwZt9vt9Pe0pWyNKdWhPH9Qr2Hs7OxUwmQCOStMHo8HkAx2NjPS22baeYwO5UXwjQf5h0Od/PhHP+J3f+/3Mipc4Ha705L4MB0RcXr9ZDff/e6/8Du/87uGdCSPeIar7ng6pYMlzZ5gG43dqq+9jo0Ze1PPz3fSNzhk6DEzCWv47zHy8KIwlpwVJq9XT+FetPYOKpaa4zUZVccUC6fNwqM3lfLz860cO3aMO++807RzzRaPx4PVnjnCBJBn0/jk5kq+e7yH73z72/zBH/7hnMeG+/1+ACzW9KzzmTmPKUKkd8n4+Lihxy0oKMDuyE9Zga3HH5zomJ5KIl32FcaSs8IUaRfUfv4g3c0JtWdK+hxmsbGmgNMdbnbs+AUbN27E6cyMuhC325PS0FaiFDmsfGJTBf9yrJvXX/8ev/3bv4PFknziQuRmrVnSI0xmzmOK0Ov2863DnQSDQUOPW1paiq+uLmWhvDuXFac0+QHgG/vbDfc0FTo5K0xyYgHZ3EdOIwtsYxECxoOSXbt28eyzz5p2ntng9XqxFlan24yYVBXaeWZdOW/XXWXXrl1s37496WNFRhuEQsbetBPF7CauAP6g/ncyFwGPRXl5OVJKZCiUse3A5opVE4Z7mgqdnBWmSOeERTffSeVycwowD7/1ZZxWjQUF5j5RD48G+PDDD7nvvvsoLS019VyJ4PV5KSmf/ZP8WFDylQ/itvYyBE3AL3/5SzZv3px0EWQkVb/p8M/QUlhgG+n8YHYTV4D24TH+5ViX4cIUSQgIBcax2M3vYpLq5AcA12jA8Oum0MlZYYqkvjYf/QXNx3aYdh6zkh+iGR4N8P8d7GDnzp18/OOm9btNiFAoxNjoKFbb7G82moDqotTc4ENS0jHi57333uMzn/lMUseIhE6lySHbdDIaXpcxekJwTbjBb9XKjSxcvdXQY08mFaPVY/HVvdcyss4wF8hZYcrPz8disVB10zaWbXrIlHOYmfwQTUmelS2LCjl27BiPP/54Wr0mv9+PlBJLEsJk0wSf2bbQBKti80HTIAfOnqW/v58FCxbMev/y8nKAtBXYpiKU5/HrYcrCQmP7HhYXF1NQUIh7oNPQ42YK48EQo+PBOSfYKGKTs8KkaRqlpWX0t57HPdBhyjnMTn6I5q5lxZxod7F///60rjVFFnuTEaZUs7W2iAMtI5w4cSKptaaSkhKE0PC5Bkyd1DuZSEuiVITyDrYMs7tpiKIiY2drCSFYsWI55y9cpN6be/3yhnz6/1FZWWq9tPlCzgoTQHV1Fb5rPaalrKbKYwK9p9m6qnwOHzrEE088kbYQwoQwJZFCPR6SphQjz0SeVePixYtJCZPFYqG6uor+IRd5ReUmWBebVBbY9nvHKSwsMDyUB7Bq1Srq6uqQwSAix9Zietx60sPChamLAMwnclqYFi1axIULFwgFxtHSVItiJFsWF3K+u4f6+no2b96cFhsmUqiTuJ6pDuWBHg4719mJlDIpr2fZsmV09xwzwbL4pCKU1+sZp2bJclOOHenAEfD7sDlTOyLFbNqHx7Baraq7uEnktDAtWbIEKSXuwS6KK5ek25w5s6wsj6I8KydPnky/MGnZ8dEpdFgY8/sJBAJJeZnLli3jyJEjrLjtcfJLUtN6JtL5wexQXigk+crea6a1vKqqqqKsvBy314/Zj4WpzsrrcY+zbNmKiZIChbHk9FVdsWIFIBjpac0JYdKEYG2Fk7ONjQQCgbT8UUQKMXO543Y0a9On0tYAACAASURBVNeuBWCwozllwhTBbI/JH5SMB0MsW7bMlOMLIdiwfj0HDhxk7b2vYLWbI7KpzsobGQ3wt/vbDevJqJhKTgtTfn4+ixbVMNzTQu36ew0/vplNXKfDNx7CPz5Oa2trWuY1XRem7CiadI0FyHM4kl6TKykpoWbRIoY6m1i87i6DrUsvkRY+ZgkTwJYtW/jwww+p+9Xr2JzpG5NiJJd6fQCmT0+ez+S0MAGsW7eOXbt2Ubfr+1lzM52JSNPN9vb2tA4STGWW2lzoco1P1NQky8Zbb+X9999n1DNMXkHq0oPNDuW9caoba0HpRFq8GSxZsoQFCyoYdntyRpjOdXlYuLCa6urM7H6SC+S8MN1yyy3s2rWL6lWbDe8AYcagwHhIKfnavnZ6enpSds5sxeMP0jEyxmN3rJ7TcbZu3cr777/PxQ9/lJIegZHOD6aeIxji6uAY9953h6nnEUJwxx238+677+ZEElKv20/78BjP3n971jycZSPZ70LEYcmSJRSXlDBw7WK6TTEEIQTFDkvauxrLFA6zS5b6Lg9Swq233jqn45SXl7Nq1So9hTvzf+2EaOz1EQzJlISjbr/9djRNIxjI/oanx9pcWC0Wbr/99nSbktPkvMekaRqbNm7kww/3Gx7OS8caE+jrJqVpah4Z6Q3WcnInllksZo+6hwgFU1vH1Onys3TJEkOyzu69916am5tBhkBk//PcuS4PJcXF4QQhcykuLmbjxo3U1V/g1sdeNrw4+/BbX05JVl5IStpH/GzbdjsFBbkRlsxUcl6YQA/FfPjhh1Qu30D1KuPSrNMx0jndRDIBl2x8kLKaVQnvd/b97xB096Wsjulsh5vW8/08/Mgjhhxvw4YNlJWV43IN4CxJTejWrKy8oJS0D/t56KE7UzaA8oEHHuD06dPUf/CGKV1DUpGVt6d5KHzdHjL1PIp5IkyLFy+mqrqatnN76Ws9b+ixfYEQ3S6/oceMhz8kDe9tlih2u96ENRTI3Hb/48EQey4PU1u72LBQlaZpPPjgA7z99tvUrr+XkirzMtnMnmDrHtMzK1M5fHLp0qWsWLGCju5+Njz6GTQDO0Gk4gHRNx7kWJuL9Rs2qKSHFDAvhEkIwZ133MHPf/5zQwslUzX2YjJtQ2MUFxen9JwRIuNEghksTPuvDDMyGuBTH33OUI/gzjvvZNeu3TQe+inOYvO8JrOTHzz+EKtXr54YTZEqHnnkEb797W9Tv/v7WZcEcahlBH8gxBNPPJFuU+YF80KYALZt28aOHTvouXyG5VseM+y4qfaYQujr70uWpKdgONJTrf38QXpbziW836h7CELmZw50u/wcuupi69athqfT22w2HnvsUX7yk58Q8I+aVjAawYx08bouD611fdx3332GHjcRbr75Zmpra+no6qagtBqyJKtteDTA0TYXm7dsmXPpgSIx5o0wFRQUsHHjRs7V1bHk1gewGDT4LdUe08hogKFgkOXLl6fsnNFEhEnKzJtRFAxJfna+n/z8fD760Y+aco4777yTvXv3MRqU3PLgJ02pjTMrlCel5NDVEaqqKlm3bp3hx4+HEILt27fzne98h4pl6w1b7zU7lLenaQiExlNPPWXqeRTXmTfCBHDPPfdw6tQp+q6eN+SPQtO0lNcx/dORTpZWLkrbHBhN07BYLMg0jRufib2Xh+h2+fnsZ18yLWvKarXykY88y2uvvUbdrtdNCUmZFcpr7h+l2+XnxaceTlnSw2TWrVvH0qVL6bhwkMrlG9AsmX0Lahsa5VyXh0ceecTUQmTFjWT2p8Jgli9fTk1NDa1n9xiSBJHqdHF/UNLt8vPcI7el5HzTUVlZyZhWxNr7fi3hfSJZeWZxdXCUgy0j3HHHHWzYYGwh9WQ2bNjAypUrabvWycanPofNkW/o8c3wmKSU7L08THlZGVu3mjtRdiaEEDz11FN861vfoqvpJIvWmlvgOxdCUvL+pUFKiot49NFH023OvGJeCZMQgvvvv5+33nrLkMyqVHd++PdzvQyOkdYbC+h1Ke296S3wjcbrD/J2fT8VFQt47rnnTD+fEIIXXniBr33ta5z82TcN95oigwKNpKnPR+fIGC+++NxELVq6WL16NWvWrOHyhUNUrdho+lpdspxoc9E14udTn3pxIulHkRrmlTCB3lTynXd+Qdel43MWplR6TONBSafLzyOPPEJ+vrFP6LOlrKyMltZrs97PrEGBve5xRoOSz/32Z1J2A6mpqeGhhx5iz549OApKDK3NMXpQoJSSD5qHWVBenvaHmgjPPvssf/3Xf0P7hUMs2/Rwus2ZgmsswJ7Lw6xevZpNmzal25x5x7wTJpvNxj333M2vfvUrfK4BnCmcTDoXBn3jWDSNBx54IN2mUF5ejn/USzDgn1USiRmDAo+0jtA6NMhzzz3H4sWLDT12PB5//HEOHDjAqGuAgrKFGZtlVtflocft5zd/86m0e0sRFi1axNatt3Hq1Amqb7otpc1xE+H9hkGCaHzsYx9TPfHSgKnCJIT4DvAs0COl3BB+rRx4E1gOtAAvSikHzbRjMvfccw8ffPABXY0nWHHb40kfJ1XJD+e7Pfz7uT5eeOH5tBXWRhNZBB5zD5NfmtpamGg6RsbY1TjE+vXr05L+7HA4+OxnP8s//dM/Me73Gb7WZASBoGTv5REWL1qUcU/+Tz/9NGfOnKXt7B5W321+CDZRLvZ4aej18vTTT1NRkbrEJsV1zPaYvgv8PfC9qNe+COySUv6VEOKL4Z//zGQ7bqC4uJgtW7Zw6vQZlqy/L+mO0akI5QWlpHPEj9Pp5K67MmMeUGSctM/VnzZhGguE+EldP8XFRXziE59I21Pt2rVr2bZtG8ePH0crtWKxGVOGAPDGyR60Of5aASkJhuDFTz+btky86SgpKeHhhx9i586dLFy9laKK2nSbxOh4iHcvDrKopoYHH3ww3ebMW0wVJinlPiHE8kkvPwc8FP7+NWAPKRYmgAcffJDjx49zbudr2AvS00UhEYZ9QSwWK1/4whcyJgwTeYr0jfSnzYZ3GwYY8gX4nd/6dNrX3D760Y9y8eIlgjLIugdenHMKdCQr76XbquZUYOv1B/nmwY6JZINM5KGHHuLw4SOc3/NDNEvySSRHro5wos01Z3vGQ5KQhM994hMZ8/c2H0nHGlO1lLITQErZKYSoSoMN1NTUsGbNGlpa25O+mZhd2Dc8GsDtD/Jrv/ZrE15KJuBwOCgrK8c7Mrv0b6OSHyJNSB9//PGUdMeOR35+Pi+++HG+/e1vc/aX38WWNzehNKqO6cMrw/iDkmeefdaQ45mBw+Hg6aef4s0332T57Y9TuWz2vQ0Pv/Vl7lxWPOcmrs39Pn54qodHHnmE2tr0e2/zmYxOfhBCfB74POhNII3moYce4tVXX6Xvaj1VK2cffzdzjampz8ebp3u47bbbuPvuu///9u4suK3zugP4/wAERYLivoOUSBEiRYmURHGTREqibEk2ZSWyLcuybMdbXLt9yPSpk8k0kzZ9a6d5yCRuknGbNLXH4zh14laJs9iyq9hObGuxNmrlLlLcCYJYiP1+fQBIkxRBAiCAewGc34zGAHhxcXwHwMG3nS/s518tna4YPQPBJZlwTH6Ytrvx6mcjKCsrw8GD4SsttVqbN29Gc3Mzzp47B31T+6q6pcKxjmnS6sKFQQuam5sVX0anoaEBp06dQs+532Os+5Isk0gcbgnv3jCgID8fhw6FPu7MwkOOxDRKRMW+1lIxAL9bsQohXgXwKgA0NjaGvdBaZWUlUlJS0HfxNMb7rwX9fEmKTFmecYsT73RMoKioCMePH1fkrCCdTodr168HPTNvNYQQ+M31SQiVCk899ZTiulqOHj2K252duPHRL1dVCy4cLaYPu6aQpNGgvb191eeKNJVKhRdeeAE/+tGPvDUIQxjzXe1+TCaHB2aHB8+9dBIaTWwVmI1HciSmUwCeA/DPvv/+rwwxAPAulHzsscfwxhtvoLiqCTklwW3Bffbtfw17TFanB29dnoAmJRVff/HFuW0mlKa0tBQQAjPGsagNWl8YtKDPYMfjjz+O3NzcqLxmMFJSUvDkyZP48Y9/Am1mPjY0PBDSeVbbYuqfsuPWuA3t7e1IT08P+TzRVFFRgW3btuHa9RvY3HYCyamBx/3ZL/9lVfsx9RpseOOLMbS1taGsLHLbmbDARXSaDhG9CeBTAJuIaJCIXoQ3IR0iok4Ah3z3ZbNt2zZkZWVj+NZZOcMAADg9Et66NA6LS+DrX38R2dmR3fhsNWarm1sMw1F5PaPNjQ+6jKiqqkJzs3LL2Oj1euzbtxej3RdhHOmJ+usLIfBBpxGZGemKWPMWjCNHjgBCiuheVIs53RLevTGFvLzcmGhdJoqIJiYhxJNCiGIhhEYIUSqE+KkQYlIIcUAIUen7ryGSMaxErVajrW0fzBODME8EX80gXCRJ4J2rExg2O/G1r30tImNq4ZSRkYHMzExYJoci/lpCCPz+pgGkUiu2a3O+w4cPo6CgED3nfg+3wxbV174+OoMhkwPthx9SbGvbn9zcXOzZswfjfR2wTo1G5TU/7DJi2ubCE09wF56SKHryQ7Q0Nzfjvffex9Cts9gkw1oKIQR+d9OAzgkbjh07FvEipOFSXl6Om529EX+dm2Mz6J604ejRozFR4Vmj0eCpp57ED37wA/RdPI2Nu74aldf1SAJnuqdRXFSkmNJDwTp48CA++eQTXD/zJrRZkZ2Jesdox/lBM/bs2aOI2Z3sS5yY4J2y2tragtOnT+Pq+/8VcFHOcC2wNdrcMDk8KCwsREtLy6rOFU3l5eW4fPkyOk6/DlphIkKoGwU6PRLe7zRCV1yM1tbWUEONutLSUhw4cADvv/8+cko3Iac08uuILt61YMrmwotPHVHcYtpApaam4siRIzh16hRKNu9GVtHKCSOUZRtuj8BvbxiQnZ3F+ywpECcmn9bWVpw5cwZp2YWoaAysrzkc65jMDg9MDg927tyJ48ePr/p80TS7Q2xRZQPyyrYse2yo2178pc8Ek92NZ44dU9wsvJUcPHgQ165dQ++FPyI9vzSiJYtcHgmf9JlQsWEDqqurI/Y60dDS0oKPPv4YA1f/hMzC8oh03X7ca4TB6sLLT3PlcCXixOSTnp6OpqYmfP75WZTW7EFy6so16Va7jqljxIr/6ZhAbW1tTBaLLC4uxpo1a2AaH1gxMYVi2u7GZ/0m1NXVxWRXi1qtxsmTJ/H9738f/Rc/iGiX3vkBMywON5576KGYex8tlpSUhMPt7XjzzTdhGLyF3HXhTbRjFic+7TejoaFBsRUxEh0npnn27duHTz/9DCNdX2D91sjOaOqZtOHU9UlUVFTg6aefjsmuF5VKhYqKCvQN3onI+f/U7d3S+qGHHorI+aNBp9PNdek5ZkwBrW0Kdh2T0yPh0ztmVFVVxWQCX8qOHTvw4YcfYrDjY+SUVIVtC/vZ8dyU1BQcPXo0LOdk4ceJaZ78/HzU1tago+NTjHZeWPFLJNQFtiMmJ96+OoHCgkK88MILMT0bSK/X48aNG3DOmJGsDd+amXGLE1eGrWhra4uJCQ/LOXDgAK5cuQqj2YRtD764YqHXYNcxfTFowYzTgwceCG3dlBKpVCo8+OCDeO211zA5cAN5IZQqWsqlIQsGjQ488cQTSEtLC8s5WfhxYlrkvvvuQ0dHB9Zt3YeiyuVnNoWywHba7sYvLo9Dm7YWf/XSS0hNDa2yuVJUVnoXJU+P9SO/PHyzCT/qmUZycjLuv//+sJ1TLklJSXj88eN45ZVXMHjtE5TVBfb/9IebBqxJWr6lIAAMmZyorNyI8vLy1QerILW1tSgqLkbvhT9itPsysMoeSpvLgw+7p7FhQzkaGxvDESKLEE5Mi5SVlaGsrAwjt8+hUL8jbF0IgLce11uXxuGGGn/z0svIzFTW5mihKC4uhlabhunR8CWmMYsTN8ZmcPDgwbj5VVteXo6dO3fi7NmzyCuvRVoAU6Hbq3NWrC5+YdCMAaMDBw4op25guKhUKhw6eBCvv/46iip3IHfd5iWPC3QS0pluIxwuCY8+eizmx+HiXewNbETB/v37YbdOwzDUGbZzSkLg11cnMGF14dnnnkNRUXh3cpWLSqVCZeVGmMb6IER4yhn+udfbWtq7d29YzqcUR44cQUpqKvovfRCWayUJgc/vmFFaWgK9Xh+GCJVn69atyMvPx9CNz1Z1zcYsTnxx14LdLS3Q6XRhjJBFAiemJdTU1CA7Owcjt86F7ZxnuozonrTh0WPH4m4mUFVVFZw2S1j2ZzLMuHB9bAYtLS1x01qapdVqcbi9HaaxOzDcvb3q83VN2GCYcWH//vvitgWgUqlw/333wWocg2msP+TznO6cQsqalLgah4tnnJiWoFKpsG/fXpgn74alFtz1USv+0m/Crl27FLmFxWrNjTONrr4KxOd3TFCp1DFX5y1QO3fuRFFREQaunIHk8azqXOcHzcjMSMfWrVvDFJ0y1dfXIy1tLYZvh/ZDsWfShp5JOw4eOhR3P3biFScmPxobG5GcnIyRzgurOo9hxoXf3jBg/fr1eOSRR8IUnbLk5OQgLy8P06N9qzrPjNODy8MzqK+vR0aGcncVXg21Wo0jR47AbjFirPdyyOeZtLrQM2nH7pbWmFt4HKykpCS0trbAONwDmzm40ppCCPxf9zSys7JiqnJIouPE5EdqaiqamppgGLgJl90a0jk8ksA7HZNQJyXjmWeeQVJS/M412bRpE8zjA5A87pDPcWHQDLdHQltbWxgjU57q6mps2LABQ9f/Ao/bFdI5Lg1ZoFKpFF1pPZx27doFlUrl3UgwCLfHbRg2OXDogQfi+vMXbzgxLaOlpQWS5MFY79WQnv9x7zSGTQ6ceOIJRW9hEQ5VVVXwuF0wT9z1e8zs1ur+/n3cO4309PS4mRjiDxHh8OHDcNqtGO+9EvTzPZLAlWErNm/eHLcty8UyMjJQU1ODib6OgH/8CCHwUe80cnNzYraobaLinxDLKCwshF6vx92eS9BV7wxqgHnY5MCf+6bR0NAQ92MAgHehrUqlwvRoHzILl95sbbmt1TtGrLhjdODEiRORDFMxKioqvK2mW2dRUFEHVRDdcd2TNlidnoRpLc3atWsXrl69iqmhroDKFHVP2jFqduLEiYNx390Zb7jFtILdu3fDbp0OavxEEgLv3pjC2rVr8fDDD0cuOAVJSUlBWVlZyBMgzg2YkZeXi02bNoU5MuU6cOAAHDMmTA7cCOp5HSNWaLWpMV+sNViVlZVIT8/ARP+1gI7/tN+EzIwM1NfXRzgyFm6cmFZQW1sLrTYNYz2BD1RfvGvBiNmBhx9+BFpt5CpKK01VVRWsU6NwOWaCet6wyYG70w60tu6JyZqBodq0aRPy8wsw2vVFwM9xuiXcnrBj+/a6hGsFqFQqNDTUwzjcs+IGjCNmJ/qn7Nizdy+PLcWgxPkWCFFSUhLq63fAONQFt9O+4vF2t4QzPdPQV1Rg+/btUYhQOWbXZ02PBrfe5PygGRqNJuHKxBAR9uxphcUwDHOAOwF3Tdrg9kioq6uLcHTKtH37dgghwTDUtexx5we876mdO3dGKTIWTpyYAtDU1ARJ8mDyzspdLmfvmGBzevDVo0fjdtGjP6Wlpd5tMIJYCGlzeXBt1Ib6+vqYrxsYioaGBmg0yQFPgrg5NoO0NG3cVBEPVmlpKbKysmEYvOX3GIdbwrXRGezYsSOheiziCSemAOh0OuQXFGBihbEAu0vC53fMqK2tRWlp9Ldol5tarYZerw8qMV0dtsLtkWJq595wSklJwdattTAM3FxxtplHEuietKO2dmtCdXnOR0Sora2Baawfkp+p9tdHrXB5JG4txbDEfHcHiYiwo64O5vEB7546fly8a4bDLeHQoUNRjE5ZKisrYbcYYbdOr3isEAIXh6xYV1qKkpKSKESnTI2NjXC7HJhaoXtqwOiAwy1h8+ali5kmiurqakgeN0zjA0v+/erwDPLz8rB+/fooR8bChRNTgGbHi6buLl3YVZIEzg1asHGjPqG/ZDdu3AgAMI+vvHngkMmJcYsTO3ftinRYiqbX66HVpvl9b83qmrRBrVLNlYBKVHq9Hmp1EoxLzAA1O9y4Y7RjR319wnWlxxNOTAEqLCxEfn4BDH6+PHoMdpjsbrS27olyZMpSWFiIVK0W02MrJ6ZLQxZoNJqEHcifpVarUVOzBcbhbkiS//p5PZN2lG/YgDVr1kQxOuXRaDQoK1sP8xItpltj3tl6iTbxKN5wYgpCbW0NzOMDcLsc9/ztyrAFaVptwnezqFQq6CsqYJkYXPY4l0fC9VEbtm7dipSU5fccSgQ1NTVwuxyw+KmcYXV6MGZxJnxraZZer4fVOAa3c+Fn8fbEDPLyclFYWChTZCwcODEFobq6GkJIMC2aDu3y+NaW1NXxmgl4qxrYLUY4Z8x+j+mcsMHh9iTcFHF/9Ho9iAjT8yaO/OGmYa5c0+sXRgCAE5NPeXk5IASsUyNzj7k8EvqnHNiyJTzbsDP5cGIKQnl5OZKTk++pAtFrsMPtkRKi9FAgZqcym5ZpNV0bsSJ97dq5MalEl5qaitLS0gUzGturc/BsYxGebSzChpxUaDSahJztuZR169YBwIJtae4YHfBIIqGqh8QrTkxBUKvVqKiouGc6dNeEDWuSk1FRUSFTZMqi0+mQlKSBZXLpbimHW0L3pLeFmajTnpdSUVEB69QIhHTvTq0DRifKysoSrtqDP1qtFtk5OQtaTP1TdqhUKm9risU0/lYIkl6vh81sWLAVRp/RgQq9nr80fNRqNdavXweLn2oG3ZM2uCWBbdu2RTkyZVu/fj0kjwcOq3HB4063hFGLg79wF9EVF8Nmmpi7PzjtQIlOl/CTQ+IBJ6YgzX45zJaQsTo9MFhd3FpaZP369Zgxji25aPT2uA1pWi1/0S4yu+7GZl64Rf2w2QkhwOtyFikuLp7bOFAIYNjkQhm/p+ICJ6YglZaWQqVSzbUGhs1OAPylsdi6desgSR7MTI8veFwSAt0GOzZVV3M33iJZWVlYk5ICh3XhIu4hk3fmGb/HFsrPz/dmJAATVhdcHmlu7InFNv5mCJJGo0FhYSGsxlEAgM0lgQAelF7ky8HpkQWPj5idsDk9CbdlQyCICMVFRXDZLQseHzY5kZWZibVr18oUmTLl5eXN3R61eH8g6nQ6ucJhYcSJKQQlJSWwGcfm7mdnZ3G/9iLZ2dlISU3FjC+Bz+o3eCu082y8pS21/mbE4kIJ//C5x/zEZLJ7oCLytqJYzOPEFIKioiI47da5boSCwvjeCjwURITSkpJ7EtOA0YG83NyE2RI8WLm5uQvuOz0SDFZXQpe58ker1S5YN5iTm8PrCOMEJ6YQzP6qFb7ENP+XG/uSTqfDzPQEhCQBAASAuyYXyhN0y4ZALE5M4xZvBe3i4mI5wlE0IkJmZtbc/bw8bi3FC9kSExG1E9EtIuoiom/JFUcoFncX5OTkyBSJshUVFUHyuGH3TX92egSsTjePxy0jKytrwX1OTMvLyEgH4H2v7d+/X95gWNjIkpiISA3g3wAcBrAFwJNEtEWOWEKRnZ0NIhUEvB+IHTt2yB2SIhUVebs4baaF05+5W8q/zMzMBfcnrC4kqdX848eP9HRvYtqyZQuPW8YRuVpMzQC6hBA9QggngF8AeFimWIKmVquRkekdIykpKZn7cLCFCgoKANybmLjApn+L30sTVhfy8/N5ar0fPFMxPsn1bi8BML9m/aDvsQWI6GUiOk9E58fHxxf/WVbZWdlyh6B4KSkpSM/IWLBgdG1aGm93vYzF1UMmbW4UcCL3a/a9JPnGMVl8kCsxLbWD1z0FwoQQrwohGoUQjUqbBpqZybPKApGfnw+HeWrufm5e7jJHs/k8EmC0uXhyzTJmE5Pdbpc5EhZOciWmQQDzl2iXAli6sJpCcfddYPLz8mC3TiFZmwGVitDQwNtcBMpod0MInvW5nNn1gw7HvXuksdgl16T/cwAqiWgDgLsATgJ4SqZYQtLc3Ayn04mmpia5Q1G03NxcuOwz0KzRInlNClpaWuQOSfGICEIIGG3eOoOLp5CzL81uMjm7dIPFB1kSkxDCTUTfAPBHAGoAPxNCXJMjllDpdDqcOHFC7jAULzvbOxbnmDGtcCSbtXHjRnR2dnJiCsDGjRuxa9cu7N69W+5QWBjJtkxaCPE7AL+T6/VZdMwlJuv0kgOL7F5tbW3o7OzEtN0NtUrF3cbLSEtLw/Hjx+UOg4UZz0FlETW7YNRp87/NOltodmr4tN2NzMxMnirOEg6/41lEpaene8dMJI/cocQck92DrGxelsASDycmFlFqtRppvAgyZItLFDGWCDgxsYjjSuKh42vHEhEnJhZxGTx4HzJOTCwRcWJiEZeWliZ3CDGLa8GxRMSJiUUcf7mGjq8dS0ScmFjEzdYzc7tcMkcSezgxsUTEiYlF3GxXntvtljmS2MPdoCwRcWJiEZeamip3CDGLExNLRJyYWMTNFtpkwUtKkq1qGGOy4cTEIm62Xh7/+meMBYJ/jrGIKygowHe+8x0kJyfLHQpjLAZwYmJRkZmZKXcIjLEYwV15jCmURqOROwTGZMGJiTGF4q5Plqg4MTGmUJyYWKLixMSYQnFiYomKExNjCsWJiSUqTkyMKcyaNWsAAOXl5fIGwphMSAghdwwBaWxsFOfPn5c7DMYiTgiB4eFhFBQUcOWH2EZyBxCr+F3PmMIQEXQ6ndxhMCYb7spjjDGmKJyYGGOMKQonJsYYY4rCiYkxxpiicGJijDGmKJyYGGOMKQonJsYYY4rCiYkxxpiicGJijDGmKJyYGGOMKQonJsYYY4oSM0VciWgcQL/ccSySB2BC7iBiCF+vwPG1CpxSr9WEEKJd7iBiUcwkJiUiovNCiEa5D1ulkAAABGpJREFU44gVfL0Cx9cqcHyt4g935THGGFMUTkyMMcYUhRPT6rwqdwAxhq9X4PhaBY6vVZzhMSbGGGOKwi0mxhhjisKJiTHGmKJwYlqEiHKJ6JLv3wgR3fXdNhLRdbnjiwVE5Jl3DS8RUfkSx+iI6O3oR6ccRPRtIrpGRFd812nnMsc+T0S6aManFMFcJxYfkuQOQGmEEJMA6gCAiL4LwCKE+J7vy/W3oZ6XiJKEEO5wxBgDbEKIOn9/9F2LIQDHoxiTohDRbgBfAVAvhHAQUR6A5GWe8jyADgBDUQhPMUK4TiwOcIspOGoi+nffr7f3iCgVAIjoDBE1+m7nEVGf7/bzRPTfRPQbAO/JF7b8Fl8LIionog6545JRMbyVARwAIISYEEIMEdE/ENE5IuogolfJ6ziARgBv+FoMqbJGHl3+rlOfL0mBiBqJ6Izv9neJ6Ge+z2QPEf2tfKGzUHFiCk4lgH8TQtQAMAJ4LIDn7AbwnBDi/ohGpiyp87rx3pn3eCJeC3/eA7COiG4T0Y+IqM33+CtCiCYhRC2AVABfEUK8DeA8gKeFEHVCCJtcQcvA33VaTjWABwE0A/hHItJENEIWdtyVF5xeIcQl3+0LAMoDeM77QghD5EJSJH9deYl4LZYkhLAQUQOAvQDuA/AWEX0LgJmIvglACyAHwDUAv5EvUnktc52W866vheUgojEAhQAGIxwqCyNOTMFxzLvtgfcXLQC48WXrM2XRc6yRDiqG8LWYRwjhAXAGwBkiugrgrwFsA9AohBjwjXEufj8lnCWu03NY/jO3+HPK33MxhrvywqMPQIPvdsIO6LPAEdEmIqqc91AdgFu+2xNEtBYL30tmAOnRik8p/Fynfiz8zAXSpc5iCP+SCI/vAfglET0D4EO5g2ExYS2AHxJRFry//rsAvAzv2OVVeL94z807/ucAfkJENgC7E2icyd912gzgp0T09wA+lzE+FgFckogxxpiicFceY4wxReHExBhjTFE4MTHGGFMUTkyMMcYUhRMTY4wxReHExBKKr5ba38kdB2PMP05MjDHGFIUTE4t7vv18bhHRaQCbfI+95KvifZmIfkVEWiJKJ6Le2aKfRJThq2LNRUAZiyJOTCyu+QqAngSwA8AxAE2+P/3aV8V7O4AbAF4UQpjhrcl2xHfMSQC/EkK4ohs1Y4mNExOLd3sBvCOEmBFCmACc8j1eS0Qf+4qCPg2gxvf4fwB4wXf7BQD/GdVoGWOcmFhCWKru1s8BfEMIsRXAP8FXoVoI8WcA5b59f9RCiETezJAxWXBiYvHuIwCPElEqEaUD+Krv8XQAw77xo6cXPec1AG+CW0uMyYKLuLK4R0TfBvAsvNslDAK4Du/eUN/0PXYVQLoQ4nnf8UUAegEUCyGMcsTMWCLjxMTYIkR0HMDDQohn5I6FsUTE+zExNg8R/RDAYQAPyR0LY4mKW0yMMcYUhSc/MMYYUxROTIwxxhSFExNjjDFF4cTEGGNMUTgxMcYYU5T/B86cAeW5SZHSAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.residplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'I'\"),\n", - " scatter_kws={\"s\": 80})" + "sns.catplot(x=\"day\", y=\"total_bill\", hue=\"sex\",\n", + " kind=\"violin\", inner=\"stick\", split=True,\n", + " palette=\"pastel\", data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "If there is structure in the residuals, it suggests that simple linear regression is not appropriate:" + "It can also be useful to combine `swarmplot()` or `striplot()` with a box plot or violin plot to show each observation along with a summary of the distribution:" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.residplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'II'\"),\n", - " scatter_kws={\"s\": 80})" + "g = sns.catplot(x=\"day\", y=\"total_bill\", kind=\"violin\", inner=None, data=tips)\n", + "sns.swarmplot(x=\"day\", y=\"total_bill\", color=\"k\", size=3, data=tips, ax=g.ax);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Conditioning on other variables\n", - "-------------------------------\n", + "### Statistical estimation within categories\n", "\n", - "The plots above show many ways to explore the relationship between a pair of variables. Often, however, a more interesting question is \"how does the relationship between these two variables change as a function of a third variable?\" This is where the difference between `regplot` and `lmplot` appears. While `regplot` always shows a single relationsihp, `lmplot` combines `regplot` with `FacetGrid` to provide an easy interface to show a linear regression on \"faceted\" plots that allow you to explore interactions with up to three additional categorical variables.\n", + "For other applications, rather than showing the distribution within each category, you might want to show an estimate of the central tendency of the values. Seaborn has two main ways to show this information. Importantly, the basic API for these functions is identical to that for the ones discussed above.\n", "\n", - "The best way to separate out a relationship is to plot both levels on the same axes and to use color to distinguish them:" + "#### Bar plots\n", + "\n", + "A familiar style of plot that accomplishes this goal is a bar plot. In seaborn, the `barplot()` function operates on a full dataset and applies a function to obtain the estimate (taking the mean by default). When there are multiple observations in each category, it also uses bootstrapping to compute a confidence interval around the estimate and plots that using error bars:" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\", data=tips)" + "titanic = sns.load_dataset(\"titanic\")\n", + "sns.catplot(x=\"sex\", y=\"survived\", hue=\"class\", kind=\"bar\", data=titanic);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In addition to color, it's possible to use different scatterplot markers to make plots the reproduce to black and white better. You also have full control over the colors used:" + "A special case for the bar plot is when you want to show the number of observations in each category rather than computing a statistic for a second variable. This is similar to a histogram over a categorical, rather than quantitative, variable. In seaborn, it's easy to do so with the `countplot()` function:" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { + "image/png": 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" ] }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\", data=tips,\n", - " markers=[\"o\", \"x\"], palette=\"Set1\")" + "sns.catplot(x=\"deck\", kind=\"count\", palette=\"ch:.25\", data=titanic);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "To add another variable, you can draw multiple \"facets\" which each level of the variable appearing in the rows or columns of the grid:" + "Both `barplot()` and `countplot()` can be invoked with all of the options discussed above, along with others that are demonstrated in the detailed documentation for each function:" ] }, { "cell_type": "code", - "execution_count": 25, - "metadata": { - "scrolled": false - }, + "execution_count": 23, + "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"total_bill\", y=\"tip\", data=tips, hue=\"smoker\", col=\"time\")" + "sns.catplot(y=\"deck\", hue=\"class\", kind=\"count\",\n", + " palette=\"pastel\", edgecolor=\".6\",\n", + " data=titanic);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Point plots\n", + "\n", + "An alternative style for visualizing the same information is offered by the `pointplot()` function. This function also encodes the value of the estimate with height on the other axis, but rather than showing a full bar, it plots the point estimate and confidence interval. Additionally, `pointplot()` connects points from the same `hue` category. This makes it easy to see how the main relationship is changing as a function of the hue semantic, because your eyes are quite good at picking up on differences of slopes:" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\",\n", - " col=\"time\", row=\"sex\", data=tips)" + "sns.catplot(x=\"sex\", y=\"survived\", hue=\"class\", kind=\"point\", data=titanic);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Controlling the size and shape of the plot\n", - "------------------------------------------\n", - "\n", - "Before we noted that the default plots made by `regplot` and `lmplot` look the same but on axes that have a different size and shape. This is because func:`regplot` is an \"axes-level\" function draws onto a specific axes. This means that you can make mutli-panel figures yourself and control exactly where the the regression plot goes. If no axes is provided, it simply uses the \"currently active\" axes, which is why the default plot has the same size and shape as most other matplotlib functions. To control the size, you need to create a figure object yourself." + "When the categorical functions lack the `style` semantic of the relational functions, it can still be a good idea to vary the marker and/or linestyle along with the hue to make figures that are maximally accessible and reproduce well in black and white:" ] }, { "cell_type": "code", - "execution_count": 27, - "metadata": { - "scrolled": false - }, + "execution_count": 25, + "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "f, ax = plt.subplots(figsize=(5, 6))\n", - "sns.regplot(x=\"total_bill\", y=\"tip\", data=tips, ax=ax)" + "sns.catplot(x=\"class\", y=\"survived\", hue=\"sex\",\n", + " palette={\"male\": \"g\", \"female\": \"m\"},\n", + " markers=[\"^\", \"o\"], linestyles=[\"-\", \"--\"],\n", + " kind=\"point\", data=titanic);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In contrast, the size and shape of the `lmplot` figure is controlled through the `FacetGrid` interface using the ``size`` and ``aspect`` parameters, which apply to each *facet* in the plot, not to the overall figure itself:" + "### Plotting β€œwide-form” data\n", + "\n", + "While using β€œlong-form” or β€œtidy” data is preferred, these functions can also by applied to β€œwide-form” data in a variety of formats, including pandas DataFrames or two-dimensional numpy arrays. These objects should be passed directly to the `data` parameter:" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 26, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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GVWYpKTTjE2sq0LBqzpip8Xml41fGV/UJqbCwEAsXLoTBYMDChQthNBoxMDCA4uLEqcFOZ7gLZ2lpHnp73WqeqiZN9TqMLnB6sWsIz7/ahMGNCzNadXsqgmJ4r0Sy7ZGLiqwYGPBGv3b7QnhrfxsOnuqNPlnxHFC/ohw3rK2AxSRgcDD5OexEBB0Hq0kPg1GAzyPD50nt55SWptbKnMZBvNl2HRKlcY8eB2rq7PdiT3M3jp7pGxMcl1QWoqHGgcWVheA5DkFfCEFfKO49mglIa9euxQsvvIB7770XPT098Pv9KCwsVPMUZhU1C5xOFWMM7uECj6kQJQW7mzqx83AHQuLIoFhaWYhPNlSjrNA87XOkPUQk2/xBCW6/mPQNW6bIioLmFicam7twoSv+ZsBk0GHt0lLUr3CgpGB6407VgHTddddh//79+MxnPgPGGB5//HHodDTYM0WNAqepkIYXZFPZQc4Yw8fn+7Fj70U43SPrRGV2c3SdaLqMeh1sZgF6miYjWSLJCty+7Neec/tC2HeiB/tOdMPtE+P+rbzIgvoVDlyxuATGNO23Uz3tmxIZ1JPpAqep8AUkuH2hlBIXOno9eP6NkzjbPtKfyGIUsGldBdYtc0A3jUw32kNEtIAxBm9AgtefvnYqqZzDxW4P9jR3obllIK4yOM8By+cXoaGmHAvm5KV9LZU2xs5gmSpwmgpFCRdFTeWOb8gbwl/2X8Sh033R13iOQ0ONA9evrYDZmPrHmANgNgqwmAQKRCSrREnBoDe1mYN0Hf/o2fDeoUv9vrh/s5r1WLesDPXLy1BgM2bsHCggzWCZKHCaiqkmLkSIkoIPjl3C+0cuxW38W15txyfrq1AyjXUi2kNEtMTjF7P2VOR0B7D3eDf2n+wdsxm9ssyGhppyrFxYpMoNGwWkGS6dBU6nKtXEBcYYjp0LrxMNekcydMqLLPjc5qUoy0/9Dk0Xs4eIehyRbJPkcK1GtVO5FcZwrmMQjc3dONnqjAuEgo7D5QuL0bCyHBUTZMRlAgUkkhGpTj+09bjx+p5WXOweya22mgRsqq3EumVlKCmxpZTuqtfxsAwHIkK0YLobwVMRCEk4dDo8Ldc3GJ/cVGA1oH6FA7XLymAzp6es1lTR6CRpF2kVMZWBNugJ4s19bThydmSdSMdzuGplOa5bMw8mQ2ofVaq6TbRGkhUMeadfwX4qepx+NDZ34dCZ3rhtEkC49UpDTTmWVdunlRiUDhSQSNqM1yriTLsLB072wOkOwp5nRO2yMiyuCKdnh0QZ7x+9hA+OdsZNW9TML8JN66tQnD/1jEAOgMkYLnZKiQpEK9TOoJMVhlMXndjT3BVX6R4I77G7ckkp1tc44LCnp7ZjOlBAImkRDMkY9AbHtIo40+7Cm/vaol/3D4WfhBhj8PolvLm/DUMx60Rzii24paEaC+cWTPkcKFGBaFVQlOH2hlRpD+ENiDhwsgd7j3fD5YmvklBSYML6GgfWLClNedYhVYKOm3S/UlJn1N/fj4MHD0Kn06G2thYFBVP/Y0G0qamlfzgLz4/SQvOUs/AYY3D7RBw915fwKejAyZ4x3xMSZfz3u2fhD46kgNvMemxeV4k1S0qTCiaxT13F+eHswTVLStF8YWBavw8h6SQr4Q2uahRC7ej1YE9zN46d64tbu+UALK2yo2GlA4vmFahWEJjnAINeB6NeB4OeT6o1y6QB6ZVXXsEPfvADrF27FrIs44knnsCTTz6JjRs3puWkSfaMrnXX7fRHv07mj3ikVcSJi86ET0EA4qopSLICtzcEf8zgFHQcrr58Dj5xxbykS/REnro4LrwfyeUN4bU9regc8OHgqd6Ufx9C0skbEOHxi8hk+WpJVtB0fgB7mrvQ1hNfZNFs1KF2aRnqVzhQlMLUdyoEnoPRoIPJoEup0smkAenZZ5/Fyy+/DIcj3Ha2o6MDX/nKVyggzQDTqXUXm7iQ6CkIw6/b84zoHQzA4wsPzlgrFxbhk/VVsOdNbbAcPt0LQceNSdvedbgDeRZDSr8PIemixgZXpzuAt/a3Yd/JHnhHjas5xRY01JRj1WXFMGS4/BXHAQZh5Cloumu2kwYkq9WK0tLS6Nfz5s2DXp+dlECSXqnUukuUuBD7FBRrYCiABXPz0dzihBJzm6gXeNxYW4FrVs1N+lwjFRUcRRYMekMJ9xB5/GLCgJTt2n1kdsh00gJjDBe63NjT1IXjF+LHFM9xWLkwXNKnymHL6B47vY6H0aCDQeChF/i0HmvSgHT55ZfjS1/6Em6//XbodDps374dZWVl+NOf/gQA+Ou//uu0nQxR11Rr3Y2XuGDPM6J/KD4oBUUZXr+Ijr6u6Gs8z2FusQWbaiuwpNKe1DlyXLhendWkB89zEHT8uOc93t6JbNbuI7NDSJQxlKGkhZAo48jZPjQ2d6NrIL6kj6DjsHJhMW6qr0J+gpuxdIg8BZkM4SehTCYMTRqQgsEgysrK8MEHHwAAzGYzzGYz9u7dC4ACUi5LttZdJHHBF0xccaF2WVl0zSiyxyIwap3o2lVzseGKuUlXBY5mzJnGdmUd77w/ceW8uDWk8X4fQtJFURjcvvh10XTpHwyg8XgXDp4a2w7cqOdhMelhMujQ4/Sje8CX1oDE8+GMONPwVJxaVU0mDUhPPfWUGudBsiCZWneRxIWJ7vwWVxRClGS8ua9tzPTYqkXhu7fCJAsyCjwHi0kPs1E37iCY6Lznl+dlvXYfmR18AQkef2jMjMF0KIzhTJsLe5q7cbrNFfdvgo5DnsUAQcfBbBTi1qgOnOyJ7u1LlaDjYDIIMOp10AvZ2b83bkD6+7//e/zyl7/E9ddfH/eHgTEGnufx9ttvq3KCJLMmqnWXTMUFRWE4eLoXb+1vi0taqCi14tar5qPKkVyXVKNeB4tJSPoJarzzzmbtPjI7ZKLSgj8o4eCpXjQe78LAqOlve54R62scWLukDP+5/UTCADjeOu5EOIykZRsNyaVlZ9q4AenJJ58EAKxYsQJbt24FYwwcx4Exhm9+85uqnSBR33gVF0Y7d2kQb+xpRWdMqfp8qwE31VVh1WXFk+53oIoKJJcwxuAZLhacroeizn4vGpu7ceRsH8RR421xRQEaasqxpLIwum6TaL028noyeA7DAUgHg16n2p6kZI0bkP7lX/4FJ06cQE9PD06cOBF9XZZlzJlDc/IzlT8YbqA30TRE/2AA2/e24vgFZ/Q1vcBjw+q5uHbVnEnrxnFcOGPOahI0cVdGyGSCIRlDvlBcs7pUyYqC4xfCJX0udMa3Azfqw+3A169wJGyvErteO/r18UT2BoVTs7Vd03HcgPT000/D5XLhe9/7Hh577LGRbxAEFBfTlMhMozA2JhlhNH9Qws7DHdjT1BU3MK9cXILN6yonbdzFx7R+0NqdGVHfdKuEqCGdrcTdvhD2n+zBvhM9ceWyAKDMbsb6FQ5cubh0wg3ikXWij88PoKvfO6Y2JBCeedALfDQI5dLsw7gByWazwWaz4dlnn1XzfEgWTNZAT1YYDpzswVsH2uJ6G1U5bLi1YT4qyibumRLuQTRxogKZXaZbJSTT0rWniDGG9l4P9jR14+Pz/XE3chwHrKguQsNKBxbMyU96bCyuKET9qnlxbVgiU3GG4em4XL3ho+KqGhd7F1nhyMe6pSVpG7DJNNA72z6Il98/D5dnZN7aahJw29ULcPnCogkHkaCLBCL6mJF406kSkmmBkAS3T5zW9JwoKTh2Lrx3qKMvvn+XxSSgblkZ6lY4ks4+TYTnOZgi60Fp3qCaLfSXQsNG30V29nnwUle4jPx0B60oyRj0jL+Rr8/lxxuNF3Hy4sg6EQfAZtHDZp74aUev42E1C6pXEya5I5UqIZmWjuk5pzuIfSe6sf9Ez5h9exWlVqyvKcflC4tTTqvW63gY9DxKCs0wZKXheWbRXwwNy8Rd5GSZQv6ghHcPtmNPc3dcaRKzUUC+VR9NQki078Eg8LCa9EkXSSWz11SrhGRaKk0lIxhjOH9pCHuau3Ci1RlXTFXHc1i1qBjraxyoLEtuC0QsLpIVp4+vkpDs9ohck5WA1N/fj09/+tN4/vnnsWjRomycQlaNt5jb1NKP13dfQHtv+BFfUhgKrAaYjQL8QQn9gxJCkow+lx9NLf1TDkqSrMDliS/6GGnjMDAUAGNA/1AAwZiOkgY9j3yrYUyRxth9D9SVlUxVslVCMi0khrPnTrQ6x20iOZ5gSMahM71obO4e88SXbzWgfrkD65ZPvR24brhKwkyaikuW6gFJFEU8/vjjMJlmZ32x8RZzL3S58eGxTrhGtWsYGArAatbDH5DCH0wGMGDKC8C+gAj3qDvASBuHQEgK1+GKCVT2PCM+WV+FY+f6MOAOjfl5RflGmA06WM36nMriIdqQTJWQTIqdnhuviSSAhEGp1+VHY3M3Dp3uHTO9t2BOPhpqHFg+v2hK7cB1PAeTQQeTQchalQQtUD0g/eu//is+97nP4d/+7d/UPrQmjDcNt+twx5iUa57noCgMHp8Y9+HOG77jSmbqTlEYBr2hhPPiHx7rRP9gIO7fOA5w2M24/68vj6aOjt73wHPA9WsqJk3zJmQi2aiqkSh7bqL2KZGApETbgXfjbMdg3PsMAo8rFpdgfU05youSbwc+0jtodgehWKoGpJdffhlFRUW49tprkwpIdrsFwvBUUWnp1OdftcjpCSX88HkDEsAQ93iu4zhwHIOsMHA8B70uPH1mMYX/Z3N5QxNel0BQgssThDXPBGvM6x6/iNc+OI8z7fEDy2oWUGg1QK/XwTE8311fZIXNZkLjx50YGPJjbokNm+qrsWbp+BvxMm2mfBaSNRPHwXSlch1CogyXOwiDmYfBPFKIdMgnQtCNfZpx+0UYzAZ8dPQS3j/cjv7B+ISLUrsZn1hTgYbL58BiSm5aTi/wMBuFtAShmfhZ4BjLZD/DeJ///OfBceHGaidOnMD8+fPx7LPPxvVbitXbG97FXFqaF/3vXPfcK00JF3PdvvCmVGlU+RBB4GEy6JBnMUAv8HHlRRx2M77yVyvH/Kzx0rklWcHe491452B73NOYQc+jwGqIdngszjfizk1LAExcdTsbcvmzkOofkJk4DqZjqtdBUcLjwT9Otfo/vH16TDmekCRDHp7WG90OfElVIRpqynFZRXLtwPU6HiZjejep5vJnYaJxoOoT0u9+97vof99999144oknxg1GM9VErRNGryEB4em5q1fNSbqtQqLEBcYYTl104Y3GVvTF3OXlWcLrPyZDfAp37bIy8DwH23BVhdm0qEpmDsYYfMHw9NxEW4oi5XgYY/CHwn28RteVMxl0qF0WbgdenEQ78EgQMhl0VB5rCijtW2WTtU6IzbKrKLPhlobq6L8dONWHtm73uAvAvkC4Dl3s2Osa8OGNPa1x894mgw7XrZmHhppytHQOxWUX1S0vw5WLy6iqAslp/qAEjz+5za0OuwVlhSY0tQyMaTteXmRBw8pyrJ6kHfh46dlkalSdspuq2TBVMZV6XuNdh0SJCx6/iLcPtGH/yZ7ovgiOA9YtK8Om2soxqai5Ut4nlz8Ls2XKLtM16sa7Dk0t/Xj/yCV0O30otE2cus0YQ2t3uB14c8vYduA1C+xoWFmOakfeuOOB4wCTPpyUoGYTOyB3PguJaGbKjoyI7Dlq6XJD0PHIM+tTquc1ujq3JCvY09yFdw92xAWoy+YV4OaG6jFZQFTeh6RTtmrUHT3Xh//ddS568zVe6nZIknH0bD8am7vi2qYAgM2sx7rlZahf7kC+dfzuq4bhxIRcrhmnVfRXKAsig7bX5QcYIElKeMoM4f5AyaZzD/lGqnMzxnCi1YntjRfRPzSyTlRSYMLN66uxtKow7g6OyvuQTFC7Rp2sKPD6Jew81I5Ecz2R1O2BoQAaj3fj4Kke+IPxWyCqHDasrynHygVF4yYdRLq00ppQZtFfoyyIDFpJjl84dftFmIzCpPW8giEZg76R6tyd/V68vqcV5y8NRd9jNupw/ZoKrK9xxA0gvY6HzUzlfUhmqFWjTlYUeAMS/MMlsEZ3WQXCN2md/V68sOMkTl10xa2tCjoOqxeVYP3KcswrsY75XiC8T8g0HIRo87f1cSeFAAAgAElEQVQ6KCBlQWu3O5xOOpzJw3MceJ5DSFTQ6/KDQzg9fPTcOxvuWRQp2uj2hfDWgXYcPNkTHWw8B9SvKMcNa+fF7Y2gQETUkOkadZEx0OcKxAWYSCfVQCicVSfKCpgSrmrSNzgSrAptBqxfUY7aZaUJ9w7phjermg266DYIoh4KSCpraumPBiOe5yDLDDJjUIZrAkkSUJhnHDP3LkoKep1++IISREnB7qZO7Dp8KW6daGllIT65vhpl9pFOkwaBh9Wsn7HFGIm2ZLJGXSRzroDjxxRBrV1WhpfeOwePL3GK92XzCrC+xoFlVfYxGXA8BxgNAswG7XdUnekoIKnsw2OdyDPr4XQHwwuiuvB6kKKE00YLbIa4BIMPj3Vi4Zx8uH0iCu08Pj7fjx17L8YVNy2zm3Hz+mosqRxZvDXqdbCZBbrLI6rKRI26QCgciEanZAPh5pEnWp3Y09SFIa845t+tJgFzS6y49+blca9HasflQlvv2YQCksp6XX6YjALsCK8ZSbICg16HkCijvDicARe5EwyGJLR1u3Hu0iDsNiN8QRmXYpp96XgO65aV4Zar5uP8pUH84e3TcHmCcNgt2HDF3Kw3OiOz03g16iLp4K3dboiSAr3Ao9qRlzBgKYzBHwyvESXq2XXsXB92HupA32BgzF6j2MxRnueiFRo4DjAZBFiMyU/H5UKb9ZmEApLKInPsJqMAU8yTkNsXrqjtD0pwuYOQFQWRnIeBoSD6B+MXba0mAXkWAy72ePDB0Us4fmEAPM+B53n0Dgbw27+cht1mREiSaSCRrItklkY+31EM0TWnlQuKIckKfEEJ/qCUMGuurceD/3rzFE61Osf8m8Wog9moH7MnqLjAhHyLASbj1NK0td5mfSaigKSyiUoHHTzVG660wBhiE/BiBybPASWF5mjWD88D+092I986Unk7Mug9fjEaAGkgkWyKZJZ6/PHTapHM0vePXEJFqW1MxXsg3A784/PhvUORKiYRsbUWrSYhrpcXz4cThm5YWxEtSJzKOSd6ncZRZlBAUtlEc+zzSiz41avH43aNj8YYhqf5ePDDhWp9ASkuIEUG/ei0chpIJFsi6eCjP5OiJEOSFXQN+MYEI5cniL3Hu7H/ZM+YQsF6gYd1VK1FUVJwS0M1Dp3uQf9gEGX26c0MaLHN+kxHASlNpjLXHDvH3tTSjw+OXsIfd56FQdCBARg1ZqMikw1ubwiCjo8mP1hHlQGKDPrReydoIJFsiTypCzoeYkxmqE7Hg7Fww0dg8nbgly8shl+UMeQJxk3L8fxw3bmacjTUlKf1nMe+Pjubi6qBAlIapDrX3NTSjz/uPDfcRnlseXyeQzSFVccB3HC6Ksdx8PjFaECKTPdFCDoekqREG/lF0EAi2XLVynK89N55mI26uIBkHZ5KW31ZCRqPd6GxuRs9o4JAvkWPuhUOrFtWhjyLAZ2uAF569ww4DsOzBOExsWH13LSes1barM8mFJDSIJW5ZklW8Pb+Nrg8QXhGtRa3GHWoKLNhYCiIgaFAuJKwQUChzRju0eIXIcsKHDFTEvPL86LTgJWlVrg8obikCYAGElFfMCTDH5LgsFuwqbZiuDsrB0mSoRd0KMozQifw+OPOc2O6Gs+fk4eGmnKsmG+PVhvhOaC+phy8ImNPc3dG259nu836bEQBaZqaWvrR3DIAUVaiRVIjgSDRFFmked7uj7vQfMEZl7Iq6MKN8sxGAf94+yqYjQJ++WpzdNog0qDPZBTGNOcbnWo7MoU4tYFEaa5kuiRZCadsh+RoeSsgXOR0cUUhFIXhdJsLe5q7cHpU12K9wOPKBO3A9ToeFlO4jE+BzYjVl5Vi9WWZ76WWjTbrsxkFpGmITNUxYEyRVAAQZQXf/a/90T/si+YWoLllAH/cdTYuWHEcwq3JjQIEHY/yInO0rEmq0wapDCRKcyXJGn3jctXKclw2rxCBkISQlHgR1BeQcPB0D/Y2d2NgdCNKix7XrpqLtUtL4zaGG/U6WE0CbV6dJSggTUNkqs5m1sftrXB5Q2AKQ2GeEQoDOgd8+N1bp2E16nG+cyjuZ/Bc+P/0Ag+9EN4/cW3MXHjstIHLG4qbpsvU75PodQpIJCJ6I8YYGAM6+rz4n53nsKWuMmH/oc5+L/Y0d+PomT6IozJ2jHodrGYBRr0OjiJzdDOrxSjAbKTK2rMNBaQURO4Oj5zti07TFeYZh8ubKJAkBcUFJpgMOoQkGW6vOJyKPbJYy/MceI6B58JByB+QsHBOfsJgE3nayXRTLkpzJZORFQW7DndAkpUxG1cjrR4i72tuGcCe5m60dsV/Znmeg9mgg9Wsj8sEPXS6F7VLy2AyaLtJJMkcCkhTFDutFclmi7T/Li0MFzXtdfqgFzgMeUMY8olx8+g6ngPAEE6YCw86xhjyLMa4NaFsoDRXkogoKQiKMoIhGaKsoMfpT1hFwekOwu0LYd+JHuw70Q23L34TrMNuRsPKcuw70Y2RTQzhKWue5zDkFalR5CxH/+tPUey0VuxUXWTHuaIwFNgM6HEGIEqxu8Y5zC22wO0LwReQxtwBhqSxO9SnIh3JCJTmSoDwDVJQlBEUw4FIGVUrLtLqIcIfFOH1S5AVhqd+eyjuvTwHLJ9fhIaaciyYE24Hfq5jEP1DwfB0Nc9FxwLd+BAKSFMUO60VuZvz+EVIkgyzUYdASEZbT/xThs2sR75Vj898YhH+8M6ZMR0rAUyrKne6khEozXX2YowhEJIRCMkIifKY9g6xapeV4c19bdHeRN5RVRQAwGTQoaGmHHXLy1BgG6kiwvMcrl09B6/tbh1zU0Y3PoQC0hSNntYKtzTmIMkKzrYPxpXIL7AaYDEJmFdqjW7aEyUFyvBiMMcBBr0ONrMe1Q5byueUzmQESnOdPRhjCIkKAiEJAVFOOA2XSHG+CUX5RpwYtW0BiJT00WNeqQU3rquMvs5z4YoiFqOAskIzTAaBbnzIGKoGJFEUsXXrVnR0dCAUCuH+++/HDTfcoOYpjJHMVNdrey5g1+EOePxiOPhISngKnDEojBszKAFApwPAhac+2no8+J93z6Kz3xf3Xh3PRfctTefukJIRSLIUxhAMycNTcskHodNtTuw6fClhzTkgPFsQm5496AlXrxd4DhaTHmZjfKIC3fiQRFQNSK+++ioKCwvxwx/+EE6nE3/zN3+T1YCUzFTXa3su4LWPLgAID+bQcDXhcGoCov9/NFkGBj0ihOFyP4l6usgKw5AvhM9vXjKtwUnJCGQiohReDwqJMkRJmXA6DgDOtLtw4GQPnO4g8q0GyIqCsx1DkEc1yLOaBNgsegDccLLOiOJ8U3STNyHJUvXTctNNN2HLli3Rr3W67G52S2aq6619bZBkZUxb5CRvLCes3A0AIVGZ9p0iJSOQWIoSfjIPhGSEpOSfgoBwMHpzXxtESYE3IKKjzzvm+w364Wm5EgvWLXfgzX1t0X/jEF4nun7tPApGZMpU/cRYrVYAgMfjwT/+4z/i61//+oTvt9stEIYX+0tL89J+Pk5PCHph7MY7lzeE0tI8HDrVA7d/bFvkqZjsbwHD1H63RO+9rjQPBQUWvLPvIroGvCgvsuKGuiqsWVo2tZPNEZn4LGjZZOOAMYaQpCAQlBAUZUiSAp2Rh9Woh3UKx5EVBe+9fgL9QwEEE0zL2cx65Fn00THjCUioXzUPNpsJe5s6MTAUwNwSmyqfvdn2GUhkJl4D1W9hOjs78cADD+Cuu+7CbbfdNuF7nU4fAGRsQ6jdZkg41eWwm9Hb68ZvXm+e8Ptjq3GPJzKRMd7brCYh6d9toutQWWTGPTctjXstk5tosyXTm4MzKdU/IInGgSgpCEkyQqIy5aeg0Tx+EQdP9WDv8W64htd+InQ6LrJbDvlWAwBEE3eKrQZ4hvxYUVGAKxcWxX1fJv83yuXPQLrk8jWYaByoGpD6+vrwd3/3d3j88cfR0NCg5qETGm+qq255GT5q6kTLqDI/sfQ6QExi69BIy2Q2JnjxPOIykQgZj6Iw+AIiXJ4gQqI86Y1QMtp7PWhs7sKxc/1x2aEAYDToYDXpYdTzCIrymAZ5HAdct2YeivJpnZKkj6oB6bnnnsPQ0BB+8Ytf4Be/+AUA4Fe/+hVMpux8qEfvuynKN+DKxaUw6HX4rx2nxm2UpxfCm/k4JfyG8e5OeR4wmwRYTHoUWvXoHwrC6Q6CMQarWY8b11Xi1ob5GfjNyEwyNLyZWuL5hBluUyHJkXbg3Wjr8cT9m9koYNG8fPQMN9KLMBkErF1aiq5+H1yecD3FDVfMHXftkyrGk1RxjE3nYT+zIo+kmX48DYQkHDrdi7/sa0NHn3dMGjfHRbO8wQAIukjJH0SbhMV2aRUEPlpGaHSbiGQlGtTX1c3P2cf0dJmpUxUTOdPSh0BIRlGRFQMD3pR+xqAnGC7pc7IH3lHronOLLWhYWY5Vi0qgF/i4LDt7nhG1y8qworoIeRb9mKrbkc9pa7c7uscuJCpxbVgA4PaNC9MWlHL5M5AuuXwNNDNlpzXBkIyDp3vw9v42tPZ4Ej7pWIw6SHJ40TgSmCLprzzPhf9bh2gLCgBxnVpT2Qs0Xjp6QYEFlUXmKf88MjsxxtDS6UZjcxeOXxiIm+bjOQ4rFxbhqpXlqCyzxe0RivQtAsJ75WxmfcKMucjn1B+UoiW0JFkBz3NwSgrsQDQoUcV4koxZGZCCIRkev4jjrQN45cOW4Wm0+PfwABSEY4xOx8EAPjzYOA4KwpUWGGPQ6bjwkxLCLcbteca4O8Op7gVqaunHf24/CY9fhKDj4/4YvLPv4pjEBUJGC4kyDp/pQ2Nz15iknTyLHnXLHVi3vAz5FsO4P4PjAKtJD6tJGLfydmTbhCfmiYux8HoXr+Oi9R0B2qRNkjOrApI/KMEbECHJDD0uP/5357lx07p1Og4cY9HpOEHgoQx/DQWQGQPDcNICD9htJjBgWm3DI3ecHr8YbfgXufM0GwV0pThdQ2aH/sEAGpu7cPB075i1pmpHHhpWOlCzoGjSHkNmgw55FgN4PnEgiohUCJFiFls5biSjNPZ12qRNkjHjAxJjbDgQhasR+wIi3jnYgb3HuybMVJJkBoNeh5oF4XTWbqcfvS4/JEmJDlQGAFx4f8bnNy8BML3CpJE7zkhbiwiPP1yWv7xoKrtKyGygMIYzbS7sae7G6TZX3L/pdTxWX1aM9TXlmFsy+WdHr+MTrhONJ1IhJPbzynNcdDN4bGIEbdImyZixASkciGR4AuF+RLKiYO/xbrxzsD2u2rZBz8Ns0MHtE8cEKFlWUFFmw/zyPLz03vm4dhN8zPRc7ILtdObJI3eceWY9nDEdaCN3mjfUVaX8s8nM4g9KOHiqF43HuzAwFN8O3J5nxPoVDqxdWgaLafIhPtE60UQi2yZGjwubSY+QpCDfYshoh2My88y4gBR5IvIEJCgKA2MMp9pc2N7YGjePXZRvxBWXleBEqzPcsTUoIySN1Kkz6HkU2oxo7/FEU7M/PNaJVo6DKMkwCDpUOWxpHWyRO06TUYAd4R5LkqzAZtbj9o0LsWZpWc5m1pD06Oz3orG5G0fO9sX12wKAJZUFWF9TjiUVhZNOtwHxFbhT6dAau20ik+OCzB4zJiCNDkQA0D3gwxuNrTjTPhh9n1Gvw3Vr5uGqleUQdDyqy/Nw9Gwf+gf9sJiEMXeKkSCmRnXi2I26JqMQXY9KZ8osyT3y8N6h/W+cxNn2+Gk5o16HtUtLsX6FAyWFk2dgnml34eCpHrjcQTiKLLh29fj7iZJBVbtJOuV8QEoUiLwBEW8faMf+E93RaTiOA9YtK8Om2krYhtOyDQKPhppyXLtqLp57pSnrFbOpQR5J5MkXDmLQG1/Sp8xuxvoaB65cXApjkms+Z9pd+Mv+Nuh4DhzPo8cVSKmRIyGZkrMBKVEgkmQFjc3dePdQe1yW0aJ5+bh5fTXmFIcXdjkANoseVtPIfiGtVMymO04yWiQY8RyH5fPtWF/jwMI5+VOaZuM54NjZvrhEgwjaI0S0IucCkhKTNRcJRIwxnGx14o3Gi+gfGlknKi4w4eb6KiyrtkcHr17Ho8BmGDMw6emEaFVlmQ2L5hVgc8N8QJp66SCLMdy3aMAdTPjvtEeIaEXOBCRZUeANSPAHpbhNrJ39XrzR2IpzHSOFUE0GHa5fU4H1NY5o4OEQXsCdaKMfPZ0QLXro/1kdLh2Ub5pS6SCDwCPPYoi2i6BGjkTrNB+QJFmB0x1AnysQ18LB7Qvh7QPtOHCqJxqgeA6oW+7AptoKWGKm43Q8h0KbAXohuw0BCVEDzwF5lrHdWrUyLU3IeDQdkLwBER6fCLtOF7f7e/fHXdh5uAPBmP4PSyoL8Mn11XDYLXE/w2zQIc9qiGkDQcjMZdTrkG/VJ6zGQNPSROs0HZAkSYkGIsYYmi84saOxNW4uvLTQhJvXV2NplT3ue3kOyLcaYDJo+lckJC0EnkOexQCjYeJZAJqWJlqWE3+tL3a58Yc3T6Clc2RTqNko4Ia1FahfUTbmbtCo16HAOnktLkJyXTJFUAnJFZoOSIPeEP68+wIOneqNPinxHIf1NQ5cv6ZiTFkUjgPyE8ydEzITmY0CbGZh0mKphOQKTf/lfuq3BxEUR8qjLK0qxM3rq6PN72JNNHdOyEwi8BwKKEmHzECaDkiRYDS3xIotdZXRpmGxEm1yJWQm4gBYh8tb0fQcmYk0HZAWzc1HzcIibLlqAQZdY/dPhO8UjdF9FoTMVEa9DqV2C1yYoGcKITlO0wHpwU9fDn9ITjgNR+ncZLbIs4SnounGi8x0mg5IiVDiApltaF2UzBaq/lVXFAVPPPEETp06BYPBgCeffBLV1dVJf/94degIIYTkPlX/sr/99tsIhUL47//+bzz88MN4+umnk/5eq0lAUb6RghEhhMxQqj4hHTx4ENdeey0A4IorrkBTU9Ok36PjOZQUmjFEi7mEEDKjqRqQPB4PbDZb9GudTgdJkiAIiU/DUZYHqzlccaG0NE+t09Q0ug6z7xrY7RYIw3uOZtvvPh66DjPzGqgakGw2G7zekfL5iqKMG4wAIOALIeALobQ0D7297nHfN1vQdcjta5DqHxCn0xf9/lz93dOJrkNuX4OJxoGqCzJr1qzB+++/DwA4cuQIlixZoubhCSGEaJiqT0g33ngjPvroI3zuc58DYwzf//731Tw8IYQQDVM1IPE8j+985ztqHpIQQkiOoBxqQgghmkABiRBCiCZQQCKEEKIJFJAIIYRoAgUkQgghmkABiRBCiCZwjDEqEkcIISTr6AmJEEKIJlBAIoQQogkUkAghhGgCBSRCCCGaQAGJEEKIJlBAIoQQogkUkAghhGgCBSRCCCGaQAGJEEKIJlBAIoQQogkUkAghhGgCBSRCCCGaQAGJEEKIJlBAylGPPvooXn75ZVWOtXfvXtxxxx341Kc+hVtuuQU/+MEPIMvyhN+zc+dO/PrXv1bl/Mjso/XPP0kNBSQyoVAohIcffhg/+tGP8Oqrr+L//u//cP78efzud7+b8Puamprg8XhUOktCMiPVzz9JjZDtEyDJYYzh6aefxq5du1BWVgZZllFXVwcA2LZtG/bs2YPBwUGUlZVh27Zt2LlzJxobG/HjH/8YAPDMM8/AaDTiy1/+cvRnbtu2Dbt27Yo7zm233Yb77rsv+rXf74fH44Hf7wcAGAwGfOtb34LX6wUA7Nu3D9u2bUMgEMDQ0BC++c1vYv78+XjxxRcBAHPnzsXtt9+esetCZgetfv7vvvtuPPjgg6ivr0d7ezv+9m//Fu+++y4effRR2Gw2NDc3o7u7Gw888ACNg2QwkhO2b9/OvvCFL7BQKMT6+/vZ1VdfzV566SV24cIF9uCDDzJZlhljjP3zP/8z+4//+A/m8XhYQ0MDc7vdjDHGNm/ezLq6ulI69i9+8QtWU1PDbr31Vvbd736X7d+/P/pv//AP/8DOnj3LGGNs9+7d7NZbb2WMMfazn/2M/exnP5vOr0xIlFY//1/4whdYY2MjY4yxtrY2dt111zHGGHvkkUfYAw88wBRFYSdPnmR1dXXT+fVnDXpCyhH79u3D5s2bodfrUVRUhA0bNgAAqqur8cgjj+CPf/wjWlpacOTIEVRVVcFqtWLjxo146623UFlZicrKSjgcjrifmcwdIgDcf//9uOOOO7B792589NFH+NKXvoSvfe1ruOeee/DDH/4QO3fuxI4dO3D06NHonSMh6aTVz/9Err76anAchyVLlsDlck37GswGFJByBMdxYDHd5gUh/D9dU1MTHn74Ydxzzz3YsmULeJ6Pvu/222/Hs88+i4qKCnz6058e8zMfeughPPTQQxMe98iRI2hubsbnP/953HrrrdH/+/73v4977rkHd911F+rr61FfX4+Ghgb80z/9Uxp/a0LCtPr5BxA9niRJcd9rNBqj506SQ0kNOaKhoQHbt29HKBTC4OAgPvjgAwDA/v37UVdXhzvvvBPz58/Hrl27ohlAtbW16Orqwt69e7Fp06aUjltQUICf//znOHnyZPS15uZmLF++HC6XCxcuXMDXvvY1bNiwAe+880702DqdbswAJSRVWvz8A4DdbsfZs2cBAG+//fZ0fkUCekLKGZs2bcLHH3+MW2+9FSUlJVi0aBEA4Oabb8aDDz6I2267DQCwcuVKtLe3R7/vxhtvhMvlgsFgSOm4CxYswNNPP42tW7fC4/GA4zisWrUKjz/+OPLz8/GZz3wGt9xyCwRBwPr16xEIBODz+bBu3To88sgjKCkpwd133z39C0BmNS1+/gHgvvvuw6OPPoqXXnoJN9xwwzR/S8Kx2OdgMmMwxiCKIu69915s3boVNTU12T4lQlRDn//cRFN2M1Rvby+uvvpqrF69mgYjmXXo85+b6AmJEEKIJtATEiGEEE2ggEQIIUQTNJ1l19vrBgDY7RY4nb4sn0320XXI7WtQWpqX0vfROIhH1yG3r8FE4yAnnpAEQZftU9AEug6z+xrM5t89Fl2HmXsNciIgEUIImfkoIBFCCNEECkiEEEI0gQISIYQQTaCARAghRBMoIBFCCNGEjO5DOnr0KH70ox/hN7/5DVpbW/Hoo4+C4zgsXrwY3/72t8HzFA9Jbmpq6ceHxzrR6/KjtNCMa1bNwcoFxdk+LUJyWsYiwq9+9Ss89thjCAaDAICnnnoKX//61/H73/8ejDG88847mTo0IRnV1NKPl947j26nHwoDup1+vPTeeTS19Gf71AjJaRkLSFVVVXjmmWeiXzc3N6Ourg4AsGHDBuzevTtThyYkoz481jml1wkhycnYlN2WLVviGmUxxqKtfK1WK9xu96Q/w263RHckp1p2Zaah65D9a+D0hKAXxt7LubyhjJwbjYOx6DrMzGugWi272PUir9eL/Pz8Sb8nUquptDQvWs9rNqProI1rYLcZ0O30j3ndYTdPeG6p/gGhcRCPrkNuXwNN1LJbsWIF9u7dCwB4//33UVtbq9ahCUmra1bNmdLrhJDkqBaQHnnkETzzzDO44447IIoitmzZotahCUmrlQuKcfvGhXDYzeA5Dg67GbdvXEhZdoRMk6Y7xkYeSXP58TSd6Drk9jWYbvuJXP7d04muQ25fA01M2RFCCCEToYBECCFEEyggEUII0QQKSIQQQjSBAhIhhBBNoIBECCFEE1Sr1EBIrqBK3oRkBwUkQmJEKnlHRCp5A6CgREiG0ZQdITGokjch2UMBiZAYva6xRVPDrwdUPhNCZh8KSITEKC00j/O6SeUzIWT2oYBESAyq5E1I9lBSAyExIokL4Sy7AEoLTZRlR4hKKCARMsrKBcVpD0D+oJTWn0fITEQBiZAMUhiD2xuCPyRn+1QI0TwKSIRkSEiUMegNQVY023KMEE2hgERImjHG4PGL8AZomo6QqaCAREgaSbKCQU8Ioqxk+1QIyTkUkAhJE19AgtsfAqMZOkJSQgGJkGlSFIZBbwhBkRIXCJkOCkiETENwOHFBocQFQqZN1YAkiiIeffRRdHR0gOd5fPe738WiRYvUPAVC0oIxBrdfhI8SFwhJG1VLB7333nuQJAkvvvgiHnjgAfzkJz9R8/CEpIUkKxgYClIwIiTNVH1CWrBgAWRZhqIo8Hg8EASaMSS5xR+UMOSjxAVCMoFjTL2h1dnZia9+9avw+XxwOp147rnnsGbNmnHfL0kyBEGn1ukRMi5FYRj0BOGbRgmgeaW2lL6PxgGZLVQNSE899RQMBgMefvhhdHZ24otf/CL+/Oc/w2g0Jnx/b68bAFBamhf979mMrkN2roEoKRj0BCFNM3Hh8qWOlL6PxkE8ug65fQ1KS/PG/TdV58zy8/Oh1+sBAAUFBZAkCbJMqbJEu7wBER6fCJqhIyTzVA1I99xzD7Zu3Yq77roLoijioYcegsViUfMUSI5paukfbgXhR2mhGbdcuwiVRYmb6KUT7S0iRH2qBiSr1Yqf/vSnah6S5LCmln689N756NfdTj9+88ZxfOrq+RntT0R7iwjJDuoYSzTrw2OdU3p9uhhjcPtCcLqDFIwIyQLKuyaa1evyj/N6IO3HoqKohGQfPSERzSotTLxWVFpoSutx/EEJ/UMBCkaEZBkFJKJZ16yaM6XXp0ph4cSFQS9tdCVEC2jKjmhWJHEhnGUXQGmhKW1ZdunaW0QISR8KSETTVi4ojsuoS8eGQF9AhJv2FhGiORSQyKyRzb1FPc7ECRqEkBEUkMisEBJluLKwt8jpDuCt/e04erYPN6yfr+qxCck1FJDIjOfxi/D4RVWP6Q2I2HWoA43HuyHTOhUhSaGARGYsWQnvLQpJ6qVzh0QZu5u68N6RS3FTg3OKqUQWIZOhgERmpEBIwpA3hFQeTs60u3DgZA+c7iDseUbULivD4orCCb9HVhgOnurBOwfb4faNPI3Z84zYvK4Sly/KXKkjQl/RMbIAACAASURBVGYKCkhkRmGMYcgnwp9i36Iz7S68ua8t+nX/UDD6daKgxBhD8wUn/rLvIvoGRypIWEwCrl8zD3XLHRB0tN2PkGRQQCIzRjr2Fh042TPu66MDUkvnEHbsvYi2Hk/0Nb3A45rL5+Da1XNgMtDwImQqaMSQGSFdfYuc7uCkr3cN+PCXfRdx8qIr+hrPAeuWO3D9mnnIsximeRaEzEzSJOW5KCCRqNG9h65ZNSejbR7SQVYUDHnFtO0tsucZ0T80NijZ84xweYJ4+0A7Dp/ujQt8KxcUYfO6SpSMU3uPqCsXP8czXVCU4QtICIoy5pQXjPs+CkgEQOLeQ5GvtTqYgyEZg95gSokL46ldVha3hgSEN9QyBvx//30EkjxysAVz8nFTfRUqy2zpOwEyLbn4OZ6pGGMIhGR4A2LcuJkIBSQCYOLeQ1obyOG+RSJ8KSYuTCSyTnTgZA8GhgKQFYaBoSC6BnzR95QXWXBTfRUWVxSA47i0nwNJXS59jmcqRWHwBSX4gtKUN6JTQCIA1O09NB2iJKN/MJDRoqgL5xZg0BPC2wfbMeQNRV8vtBlwY20lVi8uAU+BSJNy5XM8E0myAm9AQiAopbyWSwGJAAj3HupOUG8t3b2HpsMbECE6/RkLRowxnGx1Yse+trg/bBajgE9cOQ/rayiFW+ty4XM808SuD00XBSQCINxjKHbuPfb1bIstilpkykwGW2uXGzv2XkRr90glcb2Ox9WXl2PDFXMphTtHaPlzPJMwxuAPyvAFk18fSgaNMgIgce8hLWQnZSJxIVa304e/7GvDiVZn9DWeA9YuLcMNayuQb6UU7lyi1c/xTBFdHwqIGRmTqgekX/7yl3j33XchiiLuvPNOfPazn1X7FMg4RvceyqZMJi4AwKAniHcOtuPg6d64brE184uwua5y3PbpRPuy9Tmeyenm6VgfSoaqAWnv3r04fPgw/vCHP8Dv9+P5559X8/BkCrI5uCRZgcsTTOtUQIQ/KOG9I5ewu6kz7ufPn5OHm+qqUOXIS/sxycw3U9PN07k+lAxVA9KHH36IJUuW4IEHHoDH48E3vvENNQ9PkpTNweUPShjyheKeWtJBlBQ0Nndh15EO+IMjg8thN2NLfRWWVhZSCjdJ2UxKN8/U+lAyVA1ITqcTly5dwnPPPYf29nbcf//92LFjx7h/COx2CwRBByDcupqocx327zgFvTA2m+zAqT5cVzc/I8dUFIZBTxA6cLAb9RO+t6jIOqWf29jUiT9/eB7OmAoM9nwjPnXtItTXlIPntR2IaByMpbXr4PSEEo4ZlzeUsXNN98+VFQavX4TXL0Iw8cg3TTwOM0HVgFRYWIiFCxfCYDBg4cKFMBqNGBgYQHFx4jsIpzO8GbG0NA+9ve6E75lN1LoO7d1DCRcs27rdGTm+KMkY9ISSSucuKrJiYMA76fsYYzh10YUd+y7GtQ83G3X4xBXzsL6mHHqBh8vlm+CnpNe80tQqOtA4iKfF62C3GRKmmzvs5oycazqvgVrrQxETjQNVA9LatWvxwgsv4N5770VPTw/8fj8KCyfuM0PUp+ZeDs/wHVk6B8LF7nAK94WukQEr6DhctXIONl4xF2YjJZfOZNlY/8zFdPNgSIYvqN76UDJUHZnXXXcd9u/fj8985jNgjOHxxx+HTqdT8xRIEtQYXJKsYMib3m6uPS4/3trXhuYLA9HXOA5Yu6QUN6ytQIHNmLZjEW1SY/1zooCn9XRzhTEEghJ8ASmj1U5SpfqtIiUyaF+mB1e6ExeGvKFwCvepnripxuXVdmyuq4TDTu3DZ4tMJxdMFvC0FoAiJFmBLyjBH5TSnjCUTjR3QRLKxOBSFIYhXwiBUHqmCAIhCe8fuYSPPu6CGNNnpcphwyfrq1Fdrq2Fb5J5ma5ll2vZdGqnbSeiMIb2Hg+OXxjA8QtO/PrxLeO+lwISUUVIlOHyhqZc/TcRSVbQ2NyNnYc74lqVlxaasaWuEsur7ZTCPUtlev0zF4q3ZjNtO0KSFZzrGMTxC06cbHXC7ReT+j4KSCTjPH4RniQ/kBOJpHD/addZuDwjVbjzrQZsWluBK5eUQqfxFG6SWZle/9Ry8dZMl/WZTCAk4dRFF45fcOJ0myvhU1meeeJUcgpIJGNkRcGgZ/qJC4wxnG5z4c19bXF9iUwGHTZeMRdXrZyTcA8ImX0yvf6pxWw6WVHg9Q+vD6l87EFvCCdaB3DighPnLw1BThAJSwpMWDG/CCvm21ExSTNLCkizjFopsUFRxqBn+kVR23s82LHvIs5fGoq+Jug4rK8pxyeumAeLiT7C0zXTarBlMrlgOgEv3ddZlBT4AiICIVnVQNTj9A+vBw2gvTfxnsDKMhuWV9uxYkERyqZQF5JG8yyiVkkgty8Eb2B6RVH7Bv34y/42NJ2PSeEGUL9yDjasKkchpXCnxUytwZYJowPK32xYkPQ1Sud1DoZk9Ln86B9SZ91qJCnBieMXBtA3OPa4Op7Dwrn5WDG/CMur7SlXyU8qIPX39+PgwYPQ6XSora1FQUFBSgcj2ZXpDKF0TNG5fSG8e6gD+090xz1dLasqxOa6Kqy4rDSpSg1aouM5GA3a3G+Xa1lj2dLU0o/f/eU03H4Rkqyg2+lHa5cbn9+8JKnrNN3rHE1UCIiQFIaiDPfnkmQF5y8N4fiF8HRcoqQEo16HJZWFWDHfjqVVhWnpGTbpT3jllVfwgx/8AGvXroUsy3jiiSfw5JNPYuPGjdM+OFFPU0s/mlsGIMoKBB2PPLMepuGKBalkCI2+W6xfUYZ5JbaUp+gCIQkfHOvEh8c6IcYEtMoyG26qr8KCOfmp/eAsEXQcTAYBRr1O0+tbuZA1NtqhUz14/YNzcVNfADI67fj67lY43SO1ECVJgdMdxOt7WpM6Tux1DgSlaGDrc/nR1NI/7s+QFQW+QHh9KNOJCkklJVj04am4+UVYODc/7R2UJw1Izz77LF5++WU4HA4AQEdHB77yla9QQMohkekCBgBsZDDZAZiMwpQzhGKnHxhjuNTnxUvvtWBLXSUWV0ytFJQkK9h3ohvvHuqAL2aar6TAhM11VaiZnzsp3AaBh9Ggg1Gvy5lW51rOGkukqaUfr350IXrT0u3043d/OQ0GREtCZWLasb3Xk/j1nsSvjxa5zoGgFBfYGJDwXEVJhjcgIZjh9aEhbwgnWsNTceMlJeh0HMwGASaDDrdeVY0llfaMnc+kAclqtaK0tDT69bx586DXq18FlqQuMl1gM+vhihkMbr8Ik1GYcoZQ5OcxxiArLLrz+8DJnqQDksIYjp3rx1v72+IGaJ5Fj+vXVKB2WZnmU7g5AAZ9OACZDDrNVw1PRItZYxNJNPUVmU4aXaNQS9OOkes8eurLNpwGHTnXQChc1iedJbVG63H5cWJ4k2rbOAHVbAzfVJkMQtwT/sH/v70zD46ruvP999ytd0ktqSXLlmx5wUbGNmC8vHgwA04IThGHhFAJlYzz8uZNIClmCPV4UyxZxpOYBF69P16qhoRAVWreEJKQiiFxJo/NEOMYE29gjG15l2xLlrV2S733Xc774/a96uW21C11t7ql86myS+q+9/bpq/O7v3N+53t+vzODM+uQVq9ejW984xv44he/CJ7n8dprr6GpqQm///3vAQCf//znS9Y4RnEwwgWGwYaS4QIC4It/u6Rgox0MRKFpNGs0lepYJuJcTwBvHLyMq8PjEm6baEi450ESK3O9BdBz4xkOSBJ5cFUye8tFteRgMxgMRMFnzD4V1frhXcywY6vPha6+7Ozarb78SqEY9/PnfzgJEEDgObgdIhw2AZRSXBuJYjAQtZyhTJdCRQnXL/LipTfPWIYI87XxqTKpQ4rH42hqasJf/vIXAIDD4YDD4cDBgwcBMIdUDaSGZRw2wXRMzV5HwQ8ejVLUuiQMWBi71zOx8q13MIRX911Mc0QcR/CJlc24fe0CuGag/ko+cBzRnZDIQxK5qgkh5ksl52DLxFfnwEjGQzFXeNQq7DhV6fXdm9rxyzfPmoM5w6Hcvak977avWtyAGxbXm7ZIKYWqatAo0FAjFdUZ5S9KqMXK9vosUYLXY8PwWLbzmczGp8ukDunHP/5xSRvAKD3FCsvIiobRUBw3L/fhjUNXst5fd32T5XnDYzG8dfgKjl8YTnvdYRPgcYpYvrCu4pyRoYzTnVDlztjmGreuacHu97rTXvM4RMt1lsz+PR3p9arFDfi7Ty+f9kzyb1bPw+/2XoRGaVqS01y2Uwj5ZkroaPeiY5EXSxfU5nTm665vKsjGi0VOh/Tggw/i5z//ObZs2ZI2IqSUguM47Nmzp6QNYxSPYoRlIjEZwYhet8hYJzpyekAXR3hsWHd9U9b6USgq450PenDo1AC0FOuziTxqXCLEZBXUQtaeSonAEdhtla+Mm8usWtyA2lpnUmU33peByfv3dKXX05lJapQiGlfQXO/Cp9a1Tmo7+ZKPKCEzU0I+YeZ8bbzY5HRIO3fuBACsXLkSTz75JCilIISAUoonnniipI1iFJ+pGpOmUYyGE1mjreta63J2znhCxf6P+/CX41eRkMfj+6LAocYpZe3JKXVceiIMebZdqh5l3Fxn7YomtNVn7/6frH+XSuI+URhQoxSRWHp+uYlsJx8GAlEcOjOIo539OUUJU82UkMp022nFZL4wp0P613/9V3R2dmJgYACdnZ3m66qqoqWlMhU4jOIiKyoCoUTesW1V03C4cwBvf9CLcErMuqHGjjvXt+HExSGMBBNZ55U6Lp1JNcqzGdOnFBL3XGFATaNob6kpSv0hjVL0DuqihJNd+YkSaqeYKaGY8ByBwHMQBQ48RyAK3KT2ltMhPf300wgEAnjqqafw3e9+d/wEQUBDQ3UsgDKmTjgmIxTJr7S4RilOXBzBW4evpKUzcTtEbFm7AOs7msBzHBw2fkbi0oQAklDd8mzG9DHWUqNxJU2ccMsK3+Qn5yAzDEgphaZRvPNBD+7/5PIpXzdNlHDJj2CkPJkSpgpHAFHQQ91i0glNxc5yfgO32w23242f/exn02ooozQUqhbK9/hC0/9c6B3F64cuozclyaIkcrjtxvn4m9UtsKUIAsoZl57tyjhG4axa3IDua0G8fvCy6Yw8DhFHzwyifZ5nSiFtIwyoaTRNqDBioVCbjEJECRtXz4fPI83IDJ8QQOQ5CCnOp1jtYMlVq5BC1UL5Hh9PqBgN55eh++pQGG8cuoxzPaPmazxHsKGjGXesXWBu+MukFHFpA44jsKfsEWIwMukZCMFnsaYylU20lFJ4PTb0j0SzIgn5hqHHIgl0dvvReWkEF3onEiXo6XoMUUJ9vatsOR2FZLjNnAGVUPDDHFIVUqhaaLLjKaUIRmRE4pNn6B4Zi2HPkR4cOz+U9vqapQ349Po21NeUN+WMIc92SLyp2mMwclEMYUNqIbwblzUWHIYeDETNct6TiRI62r1oqnOUbYafutZjOJ9ybv5mDqlCmCykdqJrGIdfP4Ozl0cwFIjp6yIib+72BnIb1URGaOwtUiaZFoWiMvZ+2IuDp/rTRnHLFtRi68aFmN+Y3471YsBzBHZJnwkxJ8QohOkIG2RFQySuIJZSCC+fMHQhogR9j1B9WUQJqaKD6az7FJMZcUjDw8O499578Ytf/AJLly6diSaUnELWeCYLqRnvy4oG/1g8uXAKJKiKQHKtxzFBktRcRuj1SBgZi00oXEjIKt77+Br2fXQ1Laa9oNGFuzYsxLLW8pQiMeTZTV4HpLLXxZzblLKAXymuPdE1b13TYplxYaJN4vGEinBMzrmuahWGzkeUIIkclrfV4QaLTAnnegJFXWvlOAJJ4NJmP5WY9qrsDkmWZXz/+9+H3V6Z2YSLQaFrPJOF1Iz3x8K6ZJrjCFRVX0TlQBCKynBMkCQ1M1ODkRT1xmWNOR/tqqbhyOlBvHO0Jy3tSL3HhjvXt2H10oaSd2greTabEZWXUhbwK8a1M51Pa5MbR88MTnjNzF5r1Ysz6w/lQyyh4OwVXZRw5rK1KMHtMMo3eLFkfq3lesy5nkBaGHB4LG7+no9TMkQHRshNl11Xx/aGsjukZ555Bvfffz+ef/75cn902Sh0jWeyuLbxvpFynyME4PVYNggmTZKamqmhfySKOreEW1ZYj7gopTjZNYI3D19JCy247AK23NKK9dc3lUzZMxuyZ882SlnAb7rXtnJoJ7pG0mp9ZV5z//E+2G1CzvcLrT+UjyihodaOlYu8uGFxfV6ZEo6cHsj5eqbNEsCc8aSu+1QrZXVIr7zyCurr67F58+a8HJLX64SQHBH7fJ5SN69o+EMJy04RCCcsv0drcw36hrIXN+c3uuHzecz3RYEznRJPCOwSh3kNTsxvdOOODe0Ttun2Rjdu7mhBOJYdOjA4e9mPV/58Ht19Y+ZrNpHHpzYsxJ0bFmYZcTEgBGamBLsk5OWEqqkvFIOZtINC+3K5ru3zeXD49TNZ56sqRTimwJOxBmNcM9dnjgTj4CQBckKFzcnD5sytkrs2HMZH5wZx7Owguq6OWR6zqKUGNy/3Yc11jWhpcBUkShiLyBD47OODURnNPg9EkYMk8PDVOSAKs2tLQ1kd0q5du0AIwfvvv4/Ozk489thj+NnPfpZWbykVv1/PCu3zeTA4mJ36vVLxuiXLNZtmr8Pye6xf0Yhd18YQCMURish6KI4Q83jj/RqXhKGU2ZTTLkBWNKxb0Tjh/VFUDYFQHIpqPeS7NhLBGwcv48yVgPkaRwjWdzRhy9oF8DglRMJxRMLFSfHDEcAmCbCLPESRgxqXEY7LyEfEWm19IZWpPsBn0g4K7cv5cqJrGMOjUYSiclYF48mubdyHnv6xrFkMzxMkFDWt6rBxzT8f6k77TJddgE0SQDWK+hobrl6zdi6pooRT3SOW4iGOGJkSvOhoTxclGH+/fKlxihgei4Mkox+EEBAC+GrtIKoKRVXh9dlnpR2U1SG99NJL5s/bt2/Hjh07cjqjaqbQ7NqrFjfg4Kl+XOkPgsLohMDhzgE01zvx2U+0AwCOnBmCplEkFBWiwGNRs3vSReBITEEwkrBcK/IH49hz5AqOnRtKe3/1El3C3VBbvHU+lj27OilFAT8j1CbwnGUF43yvbSXWcTtEhCxKLbQ2ubHr3YsQeQ5Uo5A1FQFZhcdFYZeELJm2omro6hvDya6JRQkr2urQ0V6PFW11WQUCM5lIqECg53oUBA5/e9N87H6vO2vms/nG+fnclqqGyb5LwFSya3de8luuzez9sBef/UQ7Vi1uwB0b2vMeFX18cQh//qAXQ6OxrM4ficnY++FVvH/yWlrMe8n8GmzduBCtPnchXzcnhjKOZc+uXkpRwM9YO8osGCmrGr5aQMFIK2dpiHt6BkJp7f3P97ox4I/oxfyMqUeyHtFdG9pwXWtd3qKE6xd5cUP7xOUbMrESKrx5+AocNh43Lm2EwI+H3tYub4Ik8lVTNLGYzJhDevHFF2fqo8tCodm1rUZ1ANKSlObLsfOD+N3ecUM1VDqKqqF/JIp3j6VLuFsanLhrw0Jc11o77Xg0S1w6+yh2Ab9UEY/hlEZDcQSCcfz8Dyfh9djgsotIKKqpnNMdjK6ku3vzUnx0ph9vHbqCUEwGKCAIHJa0eHD3pnazrZRSxGUVx84PoevaGMbDABSgQI1LgiRwGBmL499f6yyaKCETQoAPzw5CllWEYrrzFQUeHoeII6cHsW5Fc9Y5pS6aWEop/3RgM6QKwe0QEbIIC7hypOBJxehcA/4IvB47AsH0GDel+s7yX+85l7aO5PXYcOe6NqxZNnUJN1PGMQolNdQWjSsYGY1B1SgI0ff89A6GwfMEDTV2XLoWxLFzQ6jz2OCwCej3R/GT33yA0VBCV5kmURTNvGZcVhFLqIgndKXcW4cuJ7dJJMPh0P8bCcZBKfCH/V1ZbWz1ubCyvb7gTAlG6C1V9SbwHPpGIhhNbtsgIGaYciYECaWU8k8X5pCmQClGF7ffvAD/mVEJ03h9srbsevdishwyRb8/isFABB6nBJvII5ZQEYwk0hyR0yZg1ZJ6hGMyDpzoQ+elkYI23hlGZ5cE2G18RW6wY1QuqaG2UFQ2izdyHDGdjKbRtP1vxl47QN+Pp2rU3D9k9OyxcAJ7jvSgsXY8V925ngCuDI4rWKlxfMZEiCMESxfUJNP15JcpgUAXUUgpOd5yRQUyRRYGCSU7LFhqSinlny7MIRVIqUYXhnBh74d6LSGXQ8TtNy8wXweAD84MJCtljjvC/cf7oGo0bbTIcxxCERlByGmGQAhw+00LML/RiT9/eNV8PZ+NdwQwQ3E2iTkhxtRJXZfqG9a1lTxPwBECNemcKHRhgUHqz0ZYLTO4plE916Jx/P7jV7H3w6vI9cwnBLihvR4rF+cnShA4ome4FjhISeeT7wwn1xrqTGz0LlWhwmLAHFKBlGJ0kTrjWrag1nLGdaJrGLvf6zYdTL8/it/tvYBITIYkjv8ZZUWDqtGsEZnTLmDbpnbcuKwRv95z1rIdVhvvJDYTYkyTXBGFVYsb8NwfTuBE1wiUZH8lBKB0fMMnoIfjjJ/1LRGA1Q4GQ536m7fPofOSP+eshBB968FX7lyOjkX1lscUq76PwaJmDyhFVsqiRc3FERAVQikKFRYL5pAKZDqjCyvDBDBpHrv9x/vw0fkhc2QoiTycdgGSwENWNEgioKoaxiIyohkZux0Sj7YmN/5mTYvpbHKVDDde152QPhOqlpQjjMpksojCrWta0H0tiECy7xmzJI4j8DhEUErhD8bhsAmmg3E7RAQjctYeJArgykAYVwayd7QRjM+obCKPlgZnmjPiksmKJUGvn1WIICefEP6ta1rQ749mzcKmI5+fKqWQ8hcL5pAKZKqji1yGaRetO74xE9v17kUEQnHE5dSQhQJZVuFxSeB4DqPhRJYar7negXtvW4K2puxNaF6PDcNjccQTCsIxBaqmgec5tPpc8NXZLZ1QpapyGJXNZBGFVYsb8HefXo4/HehGz2AYlFLUuW1w2AXEExq8Hgk3XteIa8MRc//OlvVtOPhxHy70juZM7yMmB1Uc0ZWqZmiNAPU1dtx+8wI9/CxyONcTwPsn+6fUt63s+pdvnoXXbTNVgqnXqwQpdyW1JRPmkApkqqMLK8OMxRX0DMTA8yS5QEtAQSHwHGIJFTjeh2hcQTCpzjGgVE+RMhZOQKNIWz+ySzxuXdOCO25ekDO+ve76Juze32UmawUATaUYC8vovOS3DBdWqiqHUbmc6BrGya4RyCkhqsxSKYqqYUlLLR68ZxUSsmrpYPRMCWGzhtDHr53OOsbIlNDR7sXKRV78v79ewnCyaivPc4gkB14uu4gv/u0S3LSsEYQQnOgaxu/3d5vXKbRvZ9p1NK4gEIwjFJXNwWvq9SrFXiqpLakwh1Qg+YwuUmcTksADoDjXOwqq6WEDo55PXFahajRt74PAEyhUQzCSwNmeAILh7NAEAGjQnYhBnVvCp9a14aZljTlj3YQAdpHH+uub8N7xq4gm1LR4NgD8+2unUeuS0kZ25VTlGPfuUn8QsqJBFDgsavZUzAiOkR+m+hMAqF7GZCiumHW85jc4MRSImpm0jSwGV4fDCEVkMyIg8AQ8R9IiBAaSyGF5a52lKGHd9U1449AVcARw2UW4HSIIIVlJiKfbtzND+MZ+wlQRRiHXyxcrgdNssA/mkKbARKOL1NlELK6gNxiGomppTkXV9ASQwPgibup7HK/XLgmGZcuNeqk4bAJuv3k+/svKeTmVPJLAwWET0tRxskrTSjkbIzsQwOOU0kZ25VLlGPfObIsBhRkmvWOOJVatVowHvdsuYHgsBuP5TJKpggKhBDov+3Fda52ZxSAalxEIpqe5UlSatmXB5RBx03IflrZ4sDSjfAMhgCToStBNq+bB67FNGpaabt/ODOEbjihzDaqYtmIlcJotEQvmkIpM6ojL2EcxkU/hCYGS4pEo1dd4xiIJADRtMTaTWpeEuzctwscXhvHChZNmiqDlrXUQeA6SqDsiqwXaTEMyRnaZx+4/3lc2VY5x7zKzVgSjMuw2AfuP902a1Zwxs8iKBkXVcG04DJUCgsCD4zhommb24xqXBJsk4MjpAcyrd+LNQ5cxPBq3TNVjIIkc/ttnOtDW5EZjoxsjI7pwQeAIpOR2BCkj83U+Yanp9u3MEL7Ac1AUDZ6MDe3FtJVK3kc0XZhDKjKpI67MabsVHEfAUZo2SxJFHoqqCw0IoZZZuu2Snohxb8p+opFgHHuO9KDOLWH1ksYJPzfTkIy2ZhrSYCCGL9y2uCyqHOPeZd434/dK2CfBGEdRNciKnoNOUfSfjZ5a67aZazgANcsp8DwHnucQjCQwFIjixMUP8qr/SynFonkecByB0yZAdUmQxOkXnpuu4iwzhN/mcyEQSmSVaimmrQwGouAtBpmzwT6YQyoiJ7qGMRpOmOntM2c3xtiNkOSO8eSbhtSVQh8JyrIKTdOrtlrBc7qoIRZXYBN5cJx+DWN0+N7H1yZ1SJmG5HaIEHkuy5B8dfayqXKM0aoxyjQwZm2VsE9irkIphaJqSCQdT0LR0sQ0mRhrOIDeNxVN08U4VMOAxYxkIgj0daCGGjtEgYO3xg4lXniORyuK0bczZ2Lja8ilsRVfnQMjFls3ZoN9MIdUJIz1DzElpb5G9SSOHEkP2xmiA5vIg0LP32WgqLrBZjoy43c+6XyMYwWeZKnp8h0ppRpSppLOwBjZlUOVY4xW3Q4xbQ3JmLVVwj6JuQKldNz5yCpkVUubxU/EuZ4ADnX2IxhJIJ7IODflIgJPcP1CL0CA090joACsggo8R7DlltaSZYwvdt8uta3cuqYFuy3SjM0G+2AOqUgYcV27TYAX+rqHomqwJRVF/YEYIlEZlAIel54WaGGTG3880I1L18bA8ySZAmj8mnVuCbUuCb1D3OW5SwAAGTtJREFUIRCip1bRqC4L9zil9P0VKUxlpFQJexNS23CJEMiKCkngsTCPuk+M6aFqGhKyHn6TZX0dKNP/TFTPBwBiCQX7PrqKg6f6EUuolg6MI3o475YVPmxeMx+iwOHXe86ixm1DJK4AsprmlDxOEXeub0tLoVUIs3H/3KrFDaitdSZVdpW1j2i6MIdUJAYDUcTiiumIBJ6D122D0y7isa/eknasqmkIRxWEozLiCRWUkiw1nUPicc/mxbh+oRe/fec8hsZisIl8WjoUr1tCzEIOO9WRUiXsTSh2G2bjA2m6UErNtZ98wm+AdT2fNw5dQSSuIJ5Qcfj0AHoHc9f8lUQOn7qlFZtWtaRtSxCTG7sFTh9w8TwHm6RXkHXaRXzvv66b8veczfvn1q5oQlu9Y/IDqwzmkIqEJPDoDY4bpJFevs5jG39N1RCJKTh2fhB//rAXVwfDkDMEC1wyz5aiaXj7aC/qPTbcsXYBdr17EZGYjEAoYTq8rRsXon2epyJ3XFcCs/mBVAim+EDRkFBUqCrNS0iQypHTA2nXi8UVRBMqXn77/ITncQA4TneCx84Po7neiRVtdbBLAhw2AaLAwSEJuDY8XubbynamwmxWo81WmEMqGjlMPDkajcRkxBIq3jvRhzcPXUEiR+JHSgFK9JEjzxG89/E1fPOeVei+FsSbySJ7Aq+PII+eGUT7PA++ec+qEn6v6mWuPZAM4YGsUNMJWYXeCkWjFP0jEUTiKmIJxVL1CcByiwIFQAgBz3EgBDh+fgi3rm7JCDXntp3pUMlZrRnWMIdUJBKKhjqPzczmy3MELoeISFzF8FgMQ4Eo3jh8BSe7RtLOE3iSZuDGwm5cVvUwYFLw0DMQwrwGZ1YG49n6cC0Gs/mBlOp89NDb1GY+uVBUDV19YzjV7UfnJX9amikDAn09lOc4BCNxEOhrnKlrQEZ7PE4RAs9hJJjIWvfMtB0jc0hCmd63qeSs1gxrmEMqAqlyb54jqHVKEEUe8YSCQDCGp/7jiJmZIRUhWQOG52i2uiip1AtGEjjRNTyr9x6Uitn0QNLDvTLGwomizXwyiSdUnO0J4FT3CM5cDpiDoVQ4ArMciU3ksXXjQhw5PYBzPQpUVdMVoCn9mecIvDV2M62P1b331TmgWWTCzvV3yjdtTiVntWZYwxzSNDnRNYzf7b0AjiOgGoWiUQRCcdgkHpGYMmGWBn1mpG8atIkcZGVcmWSOLB2imS1htu49KBWz5YE0GoojmlCh8byuRCsiwUgCpy/5carbj/O9o5apqhpq7Oho96LGKeJyfxCBUCJLZdc7FDaTAHOEgCTrztWnOCPA+t4X8ncqJG1OJShHGYXBHNI0iMsq3vmgB4pKIQk8PC5dii2rGkLRiR8cqeWXNY2ivkbCyFgMmqaHXThC4PXYYLcJZraE2br3oFTMlgdSsWdCQ6NRnOr241T3CK70hyyvv6DRhZXt9VjZ7kWT1zFhZdQb2uvhsgt46/AV9CSVdq1NbtywuB49A6FJ730hf6dC1wUrQTnKyJ+yOiRZlvHkk0+it7cXiUQC3/rWt/DJT36ynE2YMoZ8eMAfgddjx83LG7FsQR2GAjHEEwpCURkJxXrzIJ9R4TIzoSqIniRVEnkzQ4HhjABAEgj2J0tRROMKRIHHopS9ObkK//3pwCX0DIYAAK0+F+7e1G5ZWiIfWXS1yqfZA0lfbzLLN1zyW2ZKSC3f0LHIi8FAFEdOD6Dz0ojlniOSDN257HquxPoaO9Yub0rL1r73w95khVeCSFwGjuvnGn3Wqn8CunN5dd9F7D/el9XHj50fgiTwcNmFtKwiE4Wup9p3c51XrbZQDRBKpyllKYBdu3bh9OnT+M53vgO/348vfOEL2Lt3b87jBweDAACfz2P+PBMcvzCE3717EbG4jFBUSab0Iaj32DAcjEGZZPGV5wBNy51GSBR4tM9zIxCWEYwk4HGIprFF4woI9A23osCZoQojjb5VhoVYXEFcVhHJWLeq89jwd59ePml2hswU/fkeVw5mui9MB98UM5Wf6xpCLKGivt5lJhWdjHxECZLAYXlbHTravbh+odcMrWXuOTK4a0MbOhZ54bSJcNj4rFlTZrZ2LVlahTfy2HEcKCia6uwIRZWs/umwC7CLfFb6qltW+HD0zCAAXaiiqhSU0rRBW7PXYak2nWrfzXVealsKuV6xma12UNYZ0tatW3HXXXeZv/M8X86PLwiNUsQTKmIJFW8f7UE0uaBsvKdqFP3+KHIHMsahFOAz1HQGHEdQ65ZQ67bhsa/ekpUHazSUQMwiC7IRorAKYQSTG275jLpIoaicFtrIN/wx1+TT1Uo+ogSXXUDHIi9WLq7PKt9gkLrnyIAQ4OMLw9i8Zn7Oz8/M1q4lx7qqpqfQ0jQVAs+hbzgKmixTzqU4tVBEhixpWQ5p74e98DglAHr58tGQbodGFnggd+h6qn0313mpbSnkeoz8KKtDcrlcAIBQKISHH34YjzzyyITHe71OCILutKY6uiwESqkZFpMTKngbB5dNxFhERjSu6lYJPbGpeU4+14Ue3pBEDv5gHJTqezNsIgdvjZ7NIRBOwOfz4A6fJ63Ewv/4P++mPTSMn43j/aFE1kNFVameYohkv26cB8Dy3NRrG+R7XLmYic+cSWprHXAm+1x9vSvtvbFwHB+dG8JH5wZxunvEctDjq3PgxuU+3HSdD0sW1OYs4GheMyLr2bmJXh6F4/R8iWNRecJ7b/QTVaUghOi2kQxPGwmFCSHQqD7L1zSAF8bbolENqkaz+lo4pqC+RhfviIIEgScYC+sS8UXzavDJDQuxdkXThG3KZLK+m+u81LYUcr1SMBvtoOyihr6+Pjz00EP4yle+gm3btk14rN+v794u9fRUVjREEwpicWtVXI1TxNWhEKhmIc+G9YZAPeOCvi/DbhPQUKt34lhCTSvlDABjYT37wsP/+52smLTXLZnS5dSQXbPXgcHBYNr7BjxPwKkEmdFYQeBQ55LMe2l1buq1DfI9rhzM1lDFRIyORtNCdsOjMbOc9+X+4ISihI52L5pTRAmBQMTi6HTqXBJGgnEQpFYmppP+vY1+wvMEiqLpdmEmVTXWTvU1JUopKGhaH9W3QJCsvXYuu5D2mtMuQhR4NHsd+PrWFQCQs11T7bu5zstsS77XKzaz1Q74HTt27ChXQ4aGhvD1r38dTz75ZFroLheRiD41d7ls5s/FQlb0NZZgOIFwTEmr5ZIJzwEfXxixdEbG+5wxEoT+j+f1kaXbKWJ+owuaBjR5HVi7wpe2AGvE2112ETzPIRxT0HnJj8ZaO5q8TthtPDov+ZOfQ8ycY1s3Lsx632wPIeD5bMOucUn47KZ2NHmdAGB5buq1DfI9rhyUoi+UC5draqlwhv1hXLoWxPsn+/HqvgvYc6QH53tHMZqyLsQRYMmCGty6ugWf37wYt904H4tbaszS3fkgCRw8ThF1HhtOXw5Ynvcfr5/Bq3+5iNf+egn9/gjWLveZ7xn9hCPEDBcasyNAtwlC9A3jiqovqqbO1lwOES6bACFjZrJp1Tz0paQWMuwgn/431b6b67zMtuR7vWIzW+2grDOk5557DmNjY/jpT3+Kn/70pwCAF154AXZ7efbSyIqKaEJFPKFOWhoc0BeGD3cO4J0PenIez3PJomMcgV0SzJoxAkfQ2uTG3Z9YBACmKgfQF0YNOayiammLswZGTDp1vScQTqDZmz6DyiWZBYA/vX8JPQO5VXb5ym1ni3y6WvnBvx9Jcz4GksDhurY6rMwQJRQCAWCX+OSsQ3cEVn/vUFRGZ/f4A1pWNBz4+BoA4L/fvTLrPCNbO6W6HUXjCiSRN6MDRoVXf3JvXabKLrOfpeZsnN/oxroVjXn1v6n23YnOY/kjS0dZVXaFMl2VnVHTJZ5QEZPVSTMaG2iU4sTFYbx5+ApGxrI3oxoIHAHh9MSqD95zQ0659EQqnx/+38OWYUKOkKxMx9U8TS8W1XwPphqy2/boH8yf8xEl5APPEThsApw2YdI1JQB44H/9GUpGRyXQw8jP/c/bJz1/XA4egqyoEAUOi5o9U3qYV3MfKBbVfA8qRmVXDiiliMuq6YQKdbfne0fxxsHL6B1Kl9fqlVzTw3qqRuGQBLT6XDmNajKVz0ylt2F7KaqHpfNr0NLowsbVLfA6xLwciBUEgCTycNr1GUq+nOgaznJGgL5uKueKY2dg9K3uN88illARisoIRmR0XwumbUVgzG1mhUOilCIh68KEeIFOyCg6pmczVrIyLLjsAqJxBQlZM9eJzM+Fnm8uENLzzVkZ1WQJPmcivQ0ry1BdPHTv6oL3IaXCEV0I4LDx4LnCZ1T7j/dZCncAPSt9vvzpQHdaJWBF0RAIxvGnA92s3zEAVLFDMvYJJeSpzYQA3Rn96f1LCEYSuqw7BYeNh8cpQeA5RJP5wzI/g2A8o0KufQiTzYBmYn2G7SuaGwgcMR1RvsIGKy71B3Puo1vfYS23tqInRwG/XK8z5h5V5ZAUVUMsKUrIN1SQi1BUxu79XRjOWCOyiTxAKbweQ6Y9LgXPNEeeJ6YYIVfqknxmQOVObzObyzIw9D7ssuupqKbLia5hBCMyOELAEZq23tlYazcFDQxGMahoh2SE4gLBuJ4yJE9RwkTEZRXvfdyHfR9dRSKl/LcocKhxSrBJPPxj+oM5llDMDMZWpIY/cq35VKJCbTaVZWDoEAI4JAHOZG65YrH/eB/cDhGBYDztuoLA4WvJPUD50upzo6tvLPv1Jve028mYHVS0QxoLJxBNqCCSMG1npGqGhLvXTG0C6GqjGpcEuzQe1pjX4ERc1qWqhBAQQi3DdalzponWfCotwWep1q2YUKL8cByB06Y7Im4aYblcDAbG6xSlFtDzOKWC/7Z3b1qEl948i2DqdRyiuTWCwahoh1QMKKU40TWCNw9dwfDYeEjK5RCxekk9Ll0LZsXXP7WuFS67iBf+eAoqoSDQDV/fXa4jJeW2zV4HWpvcZobiangQl2LWxoQS5UUSODhsQtpAqhQYs2mHTUjb59TsdRR8rVWLG/DVTy+vqGgBo7KYFQ7JUMr5g/G0VPkXruoS7tRFU0nksHnNfNy6ugWXB4LoHw7j2ogevprX4MTWjQuxbkUTCCG4YXE9+v1RDAaiybIQuuELAgdfncN0Rq8fvGyO+MIxxQyHVbKhFXvWxoQS5cEu6etDolCexMTFnk1b9Ts2s2YYVL1DykyVPzwWx38e6IYk8uhNcUQ8R7C+owl33LwAHqeUdp63xg6C5L4im2COOA1j9DhEc0c5oGccBjDujJIpegwZKzD3HsRMKFE6OELgtAtornfCX/RyfRNT6jVQNrNmpFL1Dik1Vb6iaghGZFOmbbBmaQPuXN+GhpQsvanncQRmRuNUR5JqjIQQJBQ1rTje/uN9ek6uDEJRec49iJlQonTUuPRyB8UUKxRCKddA2cyakUrVOyR/MA5VowhF9CSpqSxdUIOtGxZigS9bxWPMeHiOpO18z3QkExnjq/suQuA5c4ZkoKjanHsQz8QGX0b1w2bWjFSq2iElZBWyomEgEE1TwYk8hwU+14R7JBpr7XqK/YwF4UIcia/OgUhMSQvnAfpIdq49iCtR3s6ofNjMmpFKVTokVaM4emYAbx/tQTCSLuH2uCQ4JB53rF1geS4B4HaK2HJL67RH9LeuaUG/PwovkCZl3bpx4Zx8EFeavJ1R+bCZNSOVqnJIlFKc7PbjzUOXMTQ6PqW3STzqPTZwBKivsZsqu0x4jqDOLUEU+KKM6NmsgMGYHsyGGKlUjUPq6hvD6wcv40qyvg+gZ1e4dU0LNq9pgV2a+Ks4JB4el5S2ebAYI3o2K2AwpgezIYZBxTukayMR/Prt8/j4wpD5GkeA9R3N2LJWl3BPBEeQzMRQ8V+VwWAw5jQV/ZT+9Z5zOHx6IG3nxarF9fj0+jY01k2+U9wu8ahxSlOuH8NgMBiM8lHRDulQyl6hxS012LpxIdrySMRICFDjlKZU0pnBYDAYM0PFP7Hn1Ttx3yevQ0udPa+cXSLPodYtzdgmQgaDwWBMjYp2SE98dS1cDhGNje68KmU67QI8DrGkySYZDAaDURoq2iE1eR2IJtRJj+MIUOuywSaVJ+Ekg8FgMIpPRTukfJAEPUSXWiyPwWAwGNVHWR2SpmnYsWMHzpw5A0mSsHPnTixaNPXiXG6HaGbeZjAYDEZ1U9ZpxZ49e5BIJPDyyy/j0UcfxdNPPz2l6wgcQb3HxpwRg8FgzCLKOkM6evQoNm/eDAC46aabcOLEiYKv4bQJ8DiZcIHBYDBmG2V1SKFQCG73+D4inuehKAoEwboZtXUOOBR9W2xjgxt1Htuc31vk83lmugkzzly7B16vE0KyQuxc++65YPdhdt6Dsj7d3W43wuFx+bamaTmdEQCMBqKIJlTMa6qBmkggNKYhlPPo2Y/P58HgYHCmmzGjVPM9mOoDxO+PmOdX63cvJuw+VPc9mMgOyrqGtHbtWuzbtw8AcOzYMSxfvnzC4wkh8DhF+LwOpqJjMBiMWU5ZZ0h33nkn3nvvPdx///2glOJHP/rRhMeztSIGg8GYO5TVIXEchx/84Ad5H8+cEYPBYMwdWByMwWAwGBUBc0gMBoPBqAiYQ2IwGAxGRcAcEoPBYDAqAuaQGAwGg1ERMIfEYDAYjIqAUErpTDeCwWAwGAw2Q2IwGAxGRcAcEoPBYDAqAuaQGAwGg1ERMIfEYDAYjIqAOSQGg8FgVATMITEYDAajIqjo8quapmHHjh04c+YMJEnCzp07sWjRopluVsmRZRlPPvkkent7kUgk8K1vfQvLli3D448/DkIIrrvuOvzLv/wLuDlSI2p4eBj33nsvfvGLX0AQhDl3H5gdMDsA5oYdVPQ32LNnDxKJBF5++WU8+uijePrpp2e6SWVh9+7dqKurw69+9Su88MIL+OEPf4gf//jHeOSRR/CrX/0KlFK8/fbbM93MsiDLMr7//e/DbrcDwJy8D8wOmB3MFTuoaId09OhRbN68GQBw00034cSJEzPcovKwdetWfPvb3zZ/53keJ0+exIYNGwAAt912Gw4cODBTzSsrzzzzDO6//340NTUBwJy8D8wOdJgdzH47qGiHFAqF4Ha7zd95noeiKDPYovLgcrngdrsRCoXw8MMP45FHHgGl1CxY6HK5EAwGZ7iVpeeVV15BfX29+TAGMCfvA7MDZgdzxQ4q2iG53W6Ew2Hzd03TIAgVvexVNPr6+vC1r30N99xzD7Zt25YWHw6Hw6ipqZnB1pWHXbt24cCBA9i+fTs6Ozvx2GOPYWRkxHx/rtwHZgfMDuaKHVS0Q1q7di327dsHADh27BiWL18+wy0qD0NDQ/j7v/97/PM//zPuu+8+AMDKlStx8OBBAMC+ffuwbt26mWxiWXjppZfwy1/+Ei+++CI6OjrwzDPP4Lbbbptz94HZAbODuWIHFZ1c1VAXnT17FpRS/OhHP8LSpUtnulklZ+fOnXjttdewZMkS87XvfOc72LlzJ2RZxpIlS7Bz507wPD+DrSwv27dvx44dO8BxHL73ve/NqfvA7IDZgcFst4OKdkgMBoPBmDtUdMiOwWAwGHMH5pAYDAaDUREwh8RgMBiMioA5JAaDwWBUBMwhMRgMBqMiYA6JwWAwGBUBc0hVSDAYxEMPPTThMU888QR6e3snPGb79u3m5jorenp6sGXLFsv3vvGNb6C/vx+vvPIKHn/8cQDAli1b0NPTM0nrGYziwOxg9sEcUhUyOjqKzs7OCY85ePAgSrnF7IUXXkBzc3PJrs9gTAazg9kHc0hVyM6dOzEwMICHHnoIu3btwmc/+1ls27YNjz/+OMLhMJ5//nkMDAzggQcegN/vx2uvvYYvfelL+NznPoetW7figw8+yPuz4vE4vv3tb+Nzn/sc/vEf/xGjo6MA2CiQMfMwO5h9MIdUhXz3u99FU1MTHn74YTz33HN48cUX8cc//hEOhwP/9m//hgceeABNTU14/vnnUVtbi9/85jd47rnnsHv3bvzDP/wDnn/++bw/a3h4GNu3b8fu3bvR1taGZ599toTfjMHIH2YHsw/mkKqYw4cP44477oDX6wUAfPnLX8Zf//rXtGM4jsOzzz6L/fv34yc/+QleffXVtMzRk7F48WIzceM999yDQ4cOFe8LMBhFgNnB7IE5pCpG07S03ymlWXVywuEw7rvvPvT09GD9+vXYvn17QZ+RWuaAUjpnyh4wqgdmB7MH5pCqEEEQoCgKNmzYgHfeeQeBQAAA8Nvf/hYbN24EoBdxU1UV3d3dIITgm9/8JjZu3Ii33noLqqrm/VkXLlzAqVOnAOh1WTZt2lT8L8RgTAFmB7MP5pCqkIaGBsyfPx9PPfUUHnzwQWzfvh1bt27F2NgYHnnkEQDA7bffjgceeAAejwcdHR34zGc+g7vvvhterxdXr17N+7MWLlyIZ599Ftu2bYPf78eDDz5Yqq/FYBQEs4PZBys/wWAwGIyKgAVC5ziXL1/GP/3TP1m+t3PnTqxevbrMLWIwyg+zg8qAzZAYDAaDURGwNSQGg8FgVATMITEYDAajImAOicFgMBgVAXNIDAaDwagImENiMBgMRkXw/wHGCj90TCdMRgAAAABJRU5ErkJggg==\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"total_bill\", y=\"tip\", col=\"day\", data=tips,\n", - " col_wrap=2, size=3)" + "iris = sns.load_dataset(\"iris\")\n", + "sns.catplot(data=iris, orient=\"h\", kind=\"box\");" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Additionally, the axes-level functions accept vectors of Pandas or numpy objects rather than variables in a `DataFrame`:" ] }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 27, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.lmplot(x=\"total_bill\", y=\"tip\", col=\"day\", data=tips,\n", - " aspect=.5)" + "sns.violinplot(x=iris.species, y=iris.sepal_length);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Plotting a regression in other contexts\n", - "---------------------------------------\n", - "\n", - "A few other seaborn functions use `regplot` in the context of a larger, more complex plot. The first is the `jointplot` function that we introduced in the :ref:`distributions tutorial `. In addition to the plot styles previously discussed, `jointplot` can use `regplot` to show the linear regression fit on the joint axes by passing ``kind=\"reg\"``:" + "To control the size and shape of plots made by the functions discussed above, you must set up the figure yourself using matplotlib commands:" ] }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 28, "metadata": {}, "outputs": [ { "data": { + "image/png": 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D4F5dztQ005ypSeNxHnDVSuh02wE9E3hf9/P3AOeM8Dw3VNVdVXUI2MvgnnySOoaaNB5h9duqrPz8frrfzW4D6JOGzhneF/EgXm2RvoehJo3HNcBLug1s6S4//hODHesBLgE+0z2+Azi7e/wzwIkjPP8ysOlYFSsdr/xXnjQGVXVLksuBv09ykMGO9K8E3pnkNxncGfjl3elvBz6U5AYGYXjvCF3sBj6WZH9VPffYj0A6PrikX5LUDC8/SpKaYahJkpphqEmSmmGoSZKaYahJkpphqEmSmmGoSZKa8T8o2469hduOfQAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.jointplot(x=\"total_bill\", y=\"tip\", data=tips, kind=\"reg\")" + "f, ax = plt.subplots(figsize=(7, 3))\n", + "sns.countplot(y=\"deck\", data=titanic, color=\"c\");" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This is the approach you should take when you need a categorical figure to happily coexist in a more complex figure with other kinds of plots." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Using the `pairplot` function with ``kind=\"reg\"`` combines `regplot` and `PairGrid` to show the linear relationship between variables in a dataset. Take care to note how this is different from `lmplot`. In the figure below, the two axes don't show the same relationship conditioned on two levels of a third variable; rather, `PairGrid` is used to show multiple relationships between different pairings of the variables in a dataset:" + "### Showing multiple relationships with facets\n", + "\n", + "Just like `relplot()`, the fact that `catplot()` is built on a `FacetGrid` means that it is easy to add faceting variables to visualize higher-dimensional relationships:" ] }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 29, "metadata": { "scrolled": false }, "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.pairplot(tips, x_vars=[\"total_bill\", \"size\"], y_vars=[\"tip\"],\n", - " size=5, aspect=.8, kind=\"reg\")" + "sns.catplot(x=\"day\", y=\"total_bill\", hue=\"smoker\",\n", + " col=\"time\", aspect=.6,\n", + " kind=\"swarm\", data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Like `lmplot`, but unlike `jointplot`, conditioning on an additional categorical variable is built into `pairplot` using the ``hue`` parameter:" + "For further customization of the plot, you can use the methods on the `FacetGrid` object that it returns:" ] }, { "cell_type": "code", - "execution_count": 32, - "metadata": { - "scrolled": false - }, + "execution_count": 30, + "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] + "metadata": { + "needs_background": "light" }, - "metadata": {}, "output_type": "display_data" } ], "source": [ - "sns.pairplot(tips, x_vars=[\"total_bill\", \"size\"], y_vars=[\"tip\"],\n", - " hue=\"smoker\", size=5, aspect=.8, kind=\"reg\")" + "g = sns.catplot(x=\"fare\", y=\"survived\", row=\"class\",\n", + " kind=\"box\", orient=\"h\", height=1.5, aspect=4,\n", + " data=titanic.query(\"fare > 0\"))\n", + "g.set(xscale=\"log\");" ] }, { @@ -1164,7 +922,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.0" } }, "nbformat": 4, diff --git a/lessons/lesson14.5.ipynb b/lessons/lesson14.5.ipynb index 0923cbd..8fb209f 100644 --- a/lessons/lesson14.5.ipynb +++ b/lessons/lesson14.5.ipynb @@ -4,17 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Lesson 14.5 - Plotting with Seaborn: Plotting with categorical data\n", + "## Lesson 14.5 - Plotting with Seaborn: Visualizing the distribution of a dataset\n", "\n", "*Facsimile of [Seaborn tutorial](http://stanford.edu/~mwaskom/software/seaborn/tutorial.html).*\n", "\n", - "We :ref:`previously ` learned how to use scatterplots and regression model fits to visualize the relationship between two variables and how it changes across levels of additional categorical variables. However, what if one of the main variables you are interested in is categorical? In this case, the scatterplot and regression model approach won't work. There are several options, however, for visualizing such a relationship, which we will discuss in this tutorial.\n", - "\n", - "It's useful to divide seaborn's categorical plots into two groups: those that show the full distribution of observations within each level of the categorical variable, and those that apply a statistical estimation to show a measure of central tendency and confidence interval. The former includes the functions `stripplot`, `boxplot`, and `violinplot`, while the latter includes the functions `barplot`, `countplot`, and `pointplot`. These functions all share a basic API for how they accept data, although each has specific parameters that control the particulars of the visualization that is applied to that data.\n", - "\n", - "Much like the relationship between `regplot` and `lmplot`, in seaborn there are both relatively low-level and relatively high-level approaches for making categorical plots. The functions named above are all low-level in that they plot onto a specific matplotlib axes. There is also the higher-level `factorplot`, which combines these functions with a `FacetGrid` to apply a categorical plot across a grid of figure panels.\n", - "\n", - "It is easiest and best to invoke these functions with a DataFrame that is in `\"tidy\" `_ format, although the lower-level functions also accept wide-form DataFrames or simple vectors of observations. See below for examples." + "When dealing with a set of data, often the first thing you'll want to do is get a sense for how the variables are distributed. This chapter of the tutorial will give a brief introduction to some of the tools in seborn for examining univariate and bivariate distributions. You may also want to look at the categorical plots section for examples of functions that make it easy to compare the distribution of a variable across levels of other variables." ] }, { @@ -34,7 +28,7 @@ "source": [ "import numpy as np\n", "import pandas as pd\n", - "import matplotlib as mpl\n", + "from scipy import stats, integrate\n", "import matplotlib.pyplot as plt" ] }, @@ -45,7 +39,7 @@ "outputs": [], "source": [ "import seaborn as sns\n", - "#sns.set(style=\"whitegrid\", color_codes=True)" + "sns.set(color_codes=True)" ] }, { @@ -54,44 +48,77 @@ "metadata": {}, "outputs": [], "source": [ - "np.random.seed(sum(map(ord, \"categorical\")))" + "np.random.seed(sum(map(ord, \"distributions\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plotting univariate distributions\n", + "\n", + "The most convenient way to take a quick look at a univariate distribution in seaborn is the `distplot` function. By default, this will draw a [histogram](https://en.wikipedia.org/wiki/Histogram) and fit a [kernel density estimate](https://en.wikipedia.org/wiki/Kernel_density_estimation) (KDE)." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "titanic = sns.load_dataset(\"titanic\")\n", - "tips = sns.load_dataset(\"tips\")\n", - "iris = sns.load_dataset(\"iris\")" + "x = np.random.normal(size=100)\n", + "sns.distplot(x)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Distributions of observations within categories\n", + "#### Histograms\n", "\n", - "The first set of functions shows the full distribution of the quantitative variable within each level of the categorical variable(s). These generalize some of the approaches we discussed in the :ref:`chapter ` to the case where we want to quickly compare across several distributions.\n", + "Histograms are likely familiar, and a `hist()` function already exists in matplotlib. A histogram represents the distribution of data by forming bins along the range of the data and then drawing bars to show the number of observations that fall in each bin.\n", "\n", - "### Categorical scatterplots\n", - "\n", - "A simple way to show the distribution of some quantitative variable across the levels of a categorical variable uses `stripplot`, which generalizes a scatterplot to the case where one of the variables is categorical:" + "To illustrate this, let's remove the density curve and add a rug plot, which draws a small vertical tick at each observation. You can make the rug plot itself with the `rugplot()` function, but it is also available in `distplot()`:" ] }, { "cell_type": "code", "execution_count": 6, - "metadata": { - "scrolled": true - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 6, @@ -100,9 +127,9 @@ }, { "data": { - "image/png": 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"text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -110,14 +137,14 @@ } ], "source": [ - "sns.stripplot(x=\"day\", y=\"total_bill\", data=tips)" + "sns.distplot(x, kde=False, rug=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "It's also possible to add a nested categorical variable with the ``hue`` paramater. Above the color and position on the categorical axis are redundent, but now each provides information about one of the two variables:" + "When drawing histograms, the main choice you have is the number of bins to use and where to place them. `distplot()` uses a simple rule to make a good guess for what the right number is by default, but trying more or fewer bins might reveal other features in the data:" ] }, { @@ -128,7 +155,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 7, @@ -137,9 +164,9 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -147,7 +174,16 @@ } ], "source": [ - "sns.stripplot(x=\"day\", y=\"total_bill\", hue=\"time\", data=tips)" + "sns.distplot(x, bins=20, kde=False, rug=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Kernel density estimaton\n", + "\n", + "The kernel density estimate may be less familiar, but it can be a useful tool for plotting the shape of a distribution. Like the histogram, the KDE plots encodes the density of observations on one axis with height along the other axis:" ] }, { @@ -158,7 +194,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -167,9 +203,9 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -177,14 +213,14 @@ } ], "source": [ - "sns.stripplot(x=\"size\", y=\"total_bill\", data=tips.sort_values(\"size\"))" + "sns.distplot(x, hist=False, rug=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "With these plots, it's often helpful to put the categorical variable on the vertical axis (this is particularly useful when the category names are relatively long or there are many categories):" + "Drawing a KDE is more computationally involved than drawing a histogram. What happens is that each observation is first replaced with a normal (Gaussian) curve centered at that value:" ] }, { @@ -195,7 +231,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 9, @@ -204,9 +240,9 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": {}, @@ -214,18 +250,25 @@ } ], "source": [ - "sns.stripplot(x=\"total_bill\", y=\"day\", hue=\"time\", data=tips)" + "x = np.random.normal(0, 1, size=30)\n", + "bandwidth = 1.06 * x.std() * x.size ** (-1 / 5.)\n", + "support = np.linspace(-4, 4, 200)\n", + "\n", + "kernels = []\n", + "for x_i in x:\n", + "\n", + " kernel = stats.norm(x_i, bandwidth).pdf(support)\n", + " kernels.append(kernel)\n", + " plt.plot(support, kernel, color=\"r\")\n", + "\n", + "sns.rugplot(x, color=\".2\", linewidth=3)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Boxplots\n", - "\n", - "At a certain point, the categorical scatterplot approach becomes limited in the information it can provide about the distribution of values within each category. There are several ways to summarize this information in ways that facilitate easy comparisons across the category levels.\n", - "\n", - "The first is the familiar `boxplot`. This kind of plot shows the three quartile values of the distribution along with extreme values. The \"whiskers\" extend to points that lie within 1.5 IQRs of the lower and upper quartile, and then observations that fall outside this range are displayed independently. Importantly, this means that each value in the boxplot corresponds to an actual observation in the data:" + "Next, these curves are summed to compute the value of the density at each point in the support grid. The resulting curve is then normalized so that the area under it is equal to 1:" ] }, { @@ -236,7 +279,7 @@ { "data": { "text/plain": [ - "" + "[]" ] }, "execution_count": 10, @@ -245,9 +288,9 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, "metadata": {}, @@ -255,16 +298,16 @@ } ], "source": [ - "sns.boxplot(x=\"day\", y=\"total_bill\", hue=\"time\", data=tips)" + "density = np.sum(kernels, axis=0)\n", + "density /= integrate.trapz(density, support)\n", + "plt.plot(support, density)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Violinplots\n", - "\n", - "A different approach is a `violinplot`, which combines a boxplot with the kernel density estimation procedure described in the :ref:`distributions tutorial `_:" + "We can see that if we use the `kdeplot()` function in seaborn, we get the same curve. This function is used by `distplot()`, but it provides a more direct interface with easier access to other options when you just want the density estimate:" ] }, { @@ -275,7 +318,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -284,9 +327,9 @@ }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -294,14 +337,14 @@ } ], "source": [ - "sns.violinplot(x=\"total_bill\", y=\"day\", hue=\"time\", data=tips)" + "sns.kdeplot(x, shade=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "This approach uses the kernel density estimate to provide a better description of the distribution of values. Additionally, the quartile and whikser values from the boxplot are shown inside the violin. Because the violinplot uses a KDE, there are some other parameters that may need tweaking, adding some complexity relative to the straightforward boxplot:" + "The bandwidth (``bw``) parameter of the KDE controls how tightly the estimation is fit to the data, much like the bin size in a histogram. It corresponds to the width of the kernels we plotted above. The default behavior tries to guess a good value using a common reference rule, but it may be helpful to try larger or smaller values:" ] }, { @@ -312,7 +355,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 12, @@ -321,9 +364,9 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, "metadata": {}, @@ -331,15 +374,17 @@ } ], "source": [ - "sns.violinplot(x=\"total_bill\", y=\"day\", hue=\"time\", data=tips,\n", - " bw=.1, scale=\"count\", scale_hue=False)" + "sns.kdeplot(x)\n", + "sns.kdeplot(x, bw=.2, label=\"bw: 0.2\")\n", + "sns.kdeplot(x, bw=2, label=\"bw: 2\")\n", + "plt.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "It's also possible to \"split\" the violins when the hue parameter has only two levels, which can allow for a more efficient use of space:" + "As you can see above, the nature of the Gaussian KDE process means that estimation extends past the largest and smallest values in the dataset. It's possible to control how far past the extreme values the curve is drawn with the ``cut`` parameter; however, this only influences how the curve is drawn and not how it is fit:" ] }, { @@ -350,7 +395,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 13, @@ -359,9 +404,9 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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RgbBDZbM57w3+co7g1py5r7KppYM1m45gtdp4alY8GrVytw576jmCG5paOngr+wTJiZE8MSPutss58/vJmbhCO/XZOQIhHGWxWvltVgkN1zr49wdjFA0Bcf2+gsQRoewvqqC2UR50L25PgkD0mm2flHLqYj0/+N4Igvy8lS5HAFPiw7FxfchvIW5HgkD0igPFFXx05DL3j49iWIR7XmvtioL8vUkYFsLnhRUyMqm4LQkCccfOVzTyp5zTjBqs554x4XJex8lMijPSabHyUcElpUsRTkqCQNyRhuZ2frOzmAH+3qQnR0sIOKHQIF9GDtbzccEVeYqZuCUJAtFjnRYrG7JKuNZq5pEHR8qD553YlHgjre2dfFZYrnQpwglJEIgesdlsbM49Q+nlBn74bzH4+8izBZxZZKg/Q8ID2PfFRTotVqXLEU5GgkD0yMcFl/mssJwHJw1msIMDmwllTYkPp765g0Mnujf4o3B/EgSi246X1fLXj0tJHBHKpFiDnBdwEdERgYQH+/FBfhlW572PVChAgkB0S1VtC7/NLCEiVMfMpCFYLPKB4ipUKhWT48Opqm2lsLRG6XKEE5EgEA5raevk1zuKUKtVPPJADDbpanY5sYP16AO8+SCvDCceXUb0MwkC4RCr1cbvdpVQXdfKY9NH4aWWt44rUqtVTIozcr6ikTOX6pUuRzgJ+WsWDnnvH6WUnKtl3vdGoPeX4SNcWcKwUHS+Xuw5dFHpUoSTkCAQdh0ormDfF5e4f/xAYgYGIT0Krk3rpeaumDCKz9ZQflUeci8kCIQdpZcb+FPOKeKG6Lk3IUJODruJu0aG4aVRkXtYhp0QEgTiO1TVtfDrHUWEBPnyUPIwOiUE3IbOV8uYYSHklVRQ39SudDlCYRIE4paaWjrI2F4IwIJpo0AywO1MjDXSabHxwYFzSpciFCZBIL7F3GnhzZ3F1Da28+PUWLw18jZxR6FBvowYGMSeA+fpMFuULkcoyKG/8OzsbNLS0pg+fTpbtmz51vyPPvqI9PR0HnroIZ5//nkaGhoAyMzMJDk5mfT0dNLT08nIyOjd6kWvs9psvP3BSUovN/DotJEE6bRKlyT60KQ4I00tZvKPVypdilCQ3ZHCqqqqyMjIYOfOnXh7e/PII48wZcoUYmJiAGhubmbVqlXs2LGD8PBwfvWrX/Hmm2/y85//nJKSElasWMHs2bP7fEdE79jx6VkOn6rmoeRhRIX6y/ARbm6wMYAogz85X1zkvnEDUatkBFlPZPeIIC8vj6SkJPR6PTqdjtTUVHJycrrmm81mVq5cSXh4OACxsbFUVFQAUFxcTGZmJnPmzOHFF1/sOlIQzunjgsvsPXiR+xIjGT1ULyHgAVQqFfcmRlFV20rx2VqlyxEKsRsE1dXVGAyGrmmj0UhV1b9GLwwODmbatGkAtLW18dZbb/Hggw8CYDAYeP7559m1axeRkZGsWbOmt+sXveTg8Uq2fHiGcTFhJI+NxCrDR3iMsSNCCdRp2XtInmvsqex2DVmtVlRfO1y02Ww3Td/Q1NTECy+8QFxcHA8//DAAGzZs6Jq/aNGirsBwVGioDG98OwZD7z0X+MjJKv64+ySjh4Xwo2mxbvV4Gb1ep3QJLiF5XBR788toaLcQM0ivdDlOqzf/7pyJ3SCIiIjgyJEjXdMmkwmj0XjTMtXV1Tz99NMkJSXx0ksvAdeDYceOHTz55JPA9QDRaDTdKq6mplm6J27BYAjEZGrqld9VermB1/96jCiDPw9NjaahvqVXfq8z0Ot11LvR/vQVvV7HqIFBfKxV89d9p3jmoTFKl+SUevPvrq+o1aoefYG22zU0depU8vPzqa2tpbW1ldzcXFJSUrrmWywWnn32WWbOnMnLL7/cdbSg0+l4++23KSy8fi365s2bu31EIPrW5epm1r9XSHCgD//+wEgJXQ/m460hcXgoh09WUdvYpnQ5op/ZPSIIDw9n6dKlLFy4ELPZzPz580lMTGTx4sUsWbKEyspKTpw4gcViYd++fQAkJCTw6quvsn79elatWkVbWxvR0dGsXbu2z3dIOKaytoU3tn2Jj1bD49NjUUkGeLy7Y40UnDHxUcFlfvT9GKXLEf1IZXPiQcmla+jW7vQQtaq2hV9uPYrFauMnaXH4at3zecPSNeSYr7fTrgPnKats4o0X7sVPnkN9E4/uGhLu5eYQiHfbEBA9MynOSFuHhc+LypUuRfQjCQIPUlXXwtq/HKPTciMEunfyXri/yFB/BhsCyD18CYtcQ+wxJAg8RHVdC2u3HsPcaeXpWRIC4vYmxhmobWyn4PRVpUsR/USCwANcMTXzy3+GwE/S4vCREBDfISZqACGBPuQcuiDPNfYQEgRurvRKA7/YchSrzcZPZsXj5y3nBMR3U6lU3B1roKyyidIrMiyMJ5AgcGPF52p4/a/H8PfT8vSsePzkSEA4KGFYKH4+XuyV5xp7BAkCN3XweCW//lsR4cE6npwZj5da/quF47ReasbHhFL41VUqa+USXHcnnw5uxmazse+Li7yVfYIRUUEsmDYSedq86IkJIw2o1fJcY08gQeBGzJ1W3tlzim2flDJ+ZBg/uH8ENrkCUPSQv5+WhGEhHCiqoPFah9LliD4kQeAmGq518D9/Ocb+4gpSpwxh5uQhWORh8+IOTYwzYrZY+eTYZaVLEX1IgsANXKhsYs2mw1ysamLhjFjuignDIkNziF4QGuRLTNQAPim4Qrs819htSRC4uLySCl7bXIAKeCY9gcgQnYzPJHrVpDgjza1m8kvkucbuSi4qd1Gt7Z1szj1N/vEqRg4aQPp9w1Ej54VF7xtk8GdgqI69hy6SMm4garU7PbpIgBwRuKSvLtWx+p3DHDxRxcykIcy/f4T8R4o+o1KpmBhnxFTfypelMuyEO5IjAhditdnI/eISOz49ywB/b55JT0Cv85bzAaLPjRqkRx/gzd6DF5gwymB/BeFSJAhcxBVTM5tyTnH2SiOTRofz/fEDwXY9HIToa2q1iomxRj4quEzplQZiogYoXZLoRdKj4OTMnVayPj/HqncOU1XbyqMPjmTe92JAPv9FP0sYHoKvt4YcGXbC7cgRgRP76nI9m/aeoqKmhcnxRu4fH4UKOSEslOHtpeGukWEcPF5FZW0LESE6pUsSvcShI4Ls7GzS0tKYPn06W7Zs+db8jz76iPT0dB566CGef/55Ghquj1hYXl7OY489xowZM3juuee4du1a71bvpmoa2vj9ruO8tvkoHWYrT6XF88CEQci1GkJpMuyEe7IbBFVVVWRkZLB161aysrLYtm0bpaWlXfObm5tZtWoVb731Frt27SI2NpY333wTgNWrV7NgwQJycnJISEhg48aNfbcnbqC1vZMdn57lpT8c5OgZE9MnD2bR7HjCBvjKCWHhFPz9tIy5MexEiww74S7sBkFeXh5JSUno9Xp0Oh2pqank5OR0zTebzaxcuZLw8HAAYmNjqaiowGw2c/jwYVJTUwGYN2/eTeuJfzF3Wvn7sSv8v7cOsjv/AuNjwljyg0TuigmTbiDhdCbF/nPYiaMy7IS7sHuOoLq6GoPhX5eLGY1GioqKuqaDg4OZNm0aAG1tbbz11lv8+Mc/pq6ujoCAALy8rm/CYDBQVVXV2/W7tPYOC59+eYWcLy5S39zxz9FCR6H398ZqtUkICKcUOuBfw07MnDJUnnjnBuwGgdVqRaX6V++0zWa7afqGpqYmXnjhBeLi4nj44Yepqqr61nK3Wu+7hIYGdGt5V9Hcamb3gXPs+uwcjdc6GD0shIVpQ4gM83f4w1+vlxN1jpB2ckx32+n7Ewfzh/dLOHa2ljn3De+jqpyPwRCodAl9wm4QREREcOTIka5pk8mE0Wi8aZnq6mqefvppkpKSeOmllwAICQmhqakJi8WCRqO55Xr21NQ0u9W4OY0tHXx4+BKfHL1Ma7uFhOEh3Jc4kOAAHzotVurqHHsAiF6vo75eHhZij7STY3rSTno/L6IM/vzt4zNMHBmKl8b9r0Q3GAIxmZqULuM7qdWqHn2Btvu/N3XqVPLz86mtraW1tZXc3FxSUlK65lssFp599llmzpzJyy+/3PWtX6vVMnHiRPbs2QNAVlbWTet5ktrGNrZ+dIblG/PYk3+B+OgQlsxP5KGpwwj009JpkYcGCNeiUqlIGh1ObVM7h05Il6+rs3tEEB4eztKlS1m4cCFms5n58+eTmJjI4sWLWbJkCZWVlZw4cQKLxcK+ffsASEhI4NVXX2XlypWsWLGC3/72t0RGRrJu3bo+3yFnUl3Xwp6DFzlQXIHNBpNHG0kaE4GftwaLxSYBIFza8MggjMF+fJBfxj1jImQwOhemstmc95Skq3YNXTE1s/vgBQ6dqEKjVnNPQgST4414a9S9chmodHk4RtrJMXfSTqcu1rHrQBnPz01gYlz3un5djTt3Dcmdxb3ofEUjH+SVceyrq/hoNfzbhEHcNSoML5Uaq80m9wIItzNqkJ6QIB+y88q4O9bQ7QtChHOQIOgFZy7Vk51XxvHzteh8vEidPITEEaGoVdeHg5CB4YS7UqtVTIkPZ++hi5Scr2Xs8FClSxI9IEFwB85cquf9/ec5eaGOQJ2W2VOjGT00uGu+fP4LTzB6aDAHiivIPlBGwrAQOSpwQRIEPfD1AAjy9+ah5GGMHqrHKud+hQfSaNRMig/n44LLfHW5nlGDg+2vJJyKBEE3XK5uZvs/Sik5V0uQvzfpycOIHaK//lwACQHhwRKHh3LweCXZeRf4v/8uQeBqJAgcUNfUTubn5zhQXIGftxdz7o1mTHTw9Q9/6f4RAq2XmrtjDXxWWMHZKw2MkAfXuBQJgu/QbrawJ/8C+764iNVm4/7xUUz655URcgQgxM0mjDRw5JSJrM/P8X8fuUvpckQ3SBDcRmHpVbZ8eIarDW3cHWvg3rGR+Hlr5ASwELfhrdUwOd7IP74s58ylekYN1itdknCQ+w8Q0k11Te1syCzmV38rQuulZtGc0UybOBhfrYSAEPbcNdKAv68XmZ+fU7oU0Q1yRPBPVpuNvx+9wo5Pz2Kx2piZNJRxw0Ow2nDJu5uFUILWS82U0eF8cvQKJy/UET9UThy7AgkCrg8K98fdJzl5oY7R0cFMmzQYHy8N8vkvRPeNjwnj8MlqMj87R9zjE+S+Ahfg8UFw6EQV7+47jcVqY/73RxAzMEhOBAtxB7w0apLGhPPhkcscL6slYZjcbezsPDYIWtrMbM49w8ETVQyLDGRO8jB8vTQSAkL0grHDQ/nin0cFY6LlbmNn55FBcKGyiQ2ZxdQ2tl8/FzAiVM4DCNGLbhwV7PviEkVnaxgXE6Z0SeI7eNxVQ58XlvPquwVYrDaeSR9D4vAQCQEh+kDCsFD0Ad7s/OycDLzo5DwmCMydFjbtPcU7e08RM2gAT8+OJ9BPK5eECtFHNGoVyWMjuVTdTH5JpdLliO/gEUFQ09DGf28+ymeF5UybOJi59w5DjfRZCtHX4ocGMzBUx45Pz9LeYVG6HHEbbh8EZ8sbeOVPh6mua+GJmXHcPcogh6lC9BOVSsX37oqivrmD3MMXlS5H3IZbB8EXJ6tYu/UYPt4aFs8ZQ7jeT0JAiH42yBBA3BA9u/MvUNfUrnQ54hYcCoLs7GzS0tKYPn06W7Zsue1yy5cvZ+fOnV3TmZmZJCcnk56eTnp6OhkZGXdesQNsNhsf5JXxu/ePMyQ8gCdmxuGr1fTLtoUQ33Zf4kAsVpsMPeGk7F4+WlVVRUZGBjt37sTb25tHHnmEKVOmEBMTc9MyK1euJD8/n6SkpK7XS0pKWLFiBbNnz+6b6m/BYrWyac8pDpRUMjHOwIN3D5J7A4RQWHCgD3ePMnCgqIIH7x7EkPBApUsSX2P3iCAvL4+kpCT0ej06nY7U1FRycnJuWiY7O5sHHniAmTNn3vR6cXExmZmZzJkzhxdffJGGhoberf4WrpiucaCkkhlThkgICOFEksaE4+ujYdsnpdiki9ap2D0iqK6uxmAwdE0bjUaKiopuWmbRokUAFBQU3PS6wWDgqaeeYsKECaxbt441a9bwxhtvOFxcaGiAw8v+a5uBbF49g3LTNTot7psCer1O6RJcgrSTY/qrnR5JzYolAAAQ9ElEQVSYOIQPDpznwtUWJo2O6Jdt9iaDoe+PZFrbO/HWatCo++/KRrtBYLVab7o93GazOXy7+IYNG7p+XrRoEdOmTetWcTU1zT262csGNDa20mF2z8vV9Hod9fUtSpfh9KSdHNOf7RQ7aAB5QT78bkcRUcG+aL1c59ydwRCIydTUp9soOlvDxsxiHps+ivsSB3Z7fbVa1aMv0Ha7hiIiIjCZTF3TJpMJo9Fo9xc3NTWxadOmrmmbzYZG4zr/6UKI3qdRq3jw7kFU17ey56BcTvp1B09U8uaOIsJDdCQM79+B+uwGwdSpU8nPz6e2tpbW1lZyc3NJSUmx+4t1Oh1vv/02hYWFAGzevLnbRwRCCPcTHRFE/NBgdueXUVUnR2wAfz96mT/sOsHwgUE8Pn0U/r7aft2+3SAIDw9n6dKlLFy4kLlz5zJ79mwSExNZvHgxxcXFt11Po9Gwfv16Vq1axcyZMzl+/DjLli3r1eKFEK7pe+OjUKtVbMk949Enjm02G9l5Zbybe4aE4SHMSxl+vW+7n6lsTvy/cCfnCM6XN8o5Ag8n7eQYpdqp4IyJjwsus3h2PPckRPb79rurt88R2Gw2tn1SSu7hS0yKN/LAhEFYrTY0ahVDI4Pw9ur+/b59do5ACCH6wl0xYQwy+LPlo69oaPasO44tVivv7DlF7uFLpIwfyIMTohQdBVmCQAihCLVaRerkIXSYLbzrQV1E5k4LGzNL2F9cQerkIUwdHY7SV7pLEAghFBMa5Evy2EiOnjFx+FS10uX0udb2Tta/V8Sxr64yN2U4d40Mc4pno0sQCCEUNTHWSFSYP3/KOUVNQ5vS5fSZppYOXv/rMU5frOfRB0cSN0jvNA/FkiAQQihKrVaRljQUi9XGHz444TQfjr2ptrGNX2w5yqXqayycGcsQY4BTjYQsQSCEUFxwoA8PThjEmUv17D3kXjeaVda28NrmAuqa2nlqVhzhej+nezKiBIEQwimMGRZC/NBgdn52lpMX6pQup1ecr2jktc0FdHRaeXr2aPT+Pk4XAiBBIIRwEiqViumTBhMa5Mvv3i+httG1zxcUll7ll1uP4qPV8NSsePx97A7tphgJAiGE0/DRaki/dxjtZgsbs0owd7rmCMKfFZbz5o5iIkJ0PJkWh4+TD64nQSCEcCqhA3yZMXkI58ob+VPOKZe6v8Bms5H1+Tk27T1F3FA9jz44EjX9N5x0TznvsYoQwmPFDQmmrqmdz4sqMOh9SU8ernRJdpk7Lfx532kOFFeSNCac798VhcXiGiEmQSCEcEpJo8NpuNbB+/vLCAn05b5x3R+fv7/UNbWzIbOYc+WNpE4ZwoSYUJcJAZAgEEI4KZVKxbSJg2luMbNp7ym0XmqSxjjfU81KLzewIbOYtg4LT8yIIzJUh8XF7oWQcwRCCKelUatITx7GkIhA/vDBCb44WaV0STf59Msr/HLrUby1Gp6dm0BEiJ9L3hAnRwRCCKem9VLzcPIwdnx2jrd2Haetw0KKwt1EbR2dbP3oK/YXVTA6Opg5U6Ox2XDKewQcIUEghHB63loNP0gZzgf5ZWzae4raxjbSk4c5/Pz03lRW2cjvd52guraFaZMGM3GUweW6gr5JgkAI4RK8tRrSk4fz4ZFL7DpQRkVNC0/MiEPn2z8fYx1mCzs+PcvegxcZEODNojmjCQn0cfkQAAkCIYQL0ahVpP7z7uNPv7zChcomnpubwNCIwD7d7vHztfz1ky+4YmomaUz49a4pF+4K+iaHThZnZ2eTlpbG9OnT2bJly22XW758OTt37uyaLi8v57HHHmPGjBk899xzXLt27c4rFkJ4NJVKxaQ4I48+MJI2s4VX/nSE7Z+U0tbR2evbunL1GuvfK+SNbV9i7rTw1Kx4vjc+SpHnCvclu0FQVVVFRkYGW7duJSsri23btlFaWvqtZZ599ln27dt30+urV69mwYIF5OTkkJCQwMaNG3u3eiGEx4oyBPBEaizjR4aS88VFXv7DIf5+7Armzjt/Vvn5ikY2ZBbzn28f4qvL9cy5N5qfPXIXYUG+LnlVkD12u4by8vJISkpCr9cDkJqaSk5ODj/96U+7lsnOzuaBBx7oWgbAbDZz+PBhNmzYAMC8efN4/PHHWbZsWW/vgxDCQ/n5ePHg3YMZPTSETwvLeXffabIPnCdl3ECmjA4nMtTf4d9V19TO0TMm9hdVcKGqCT8fL6ZNHkzi8BDUKjW4wFARPWU3CKqrqzEYDF3TRqORoqKim5ZZtGgRAAUFBV2v1dXVERAQgJfX9U0YDAaqqpzrGmAhhHsYGObPI/8Ww+Wr1zh8qprsA2XsOlBGVJg/I6IGMCwykLABfgTqtGi91LSbLbS0dVJZ20L51WucvlTPFdP1ruvBxgDm3jeMUYP0drbqPuwGgdVqvekSLZvN5tAlW7darruXeoWGBnRr+Rs6LVZqms10Kv1E6D6k1+uULsElSDs5xl3aKTjYn7EjjTS1tHPifC1fXaqn4LSJzwrLb7uOn48Xw6MGkJQQyfCBAwgd4Hfbp4f1RzupVSr0eh3+fto+39YNdoMgIiKCI0eOdE2bTCaMRqPdXxwSEkJTUxMWiwWNRuPwel9XU9Pco/44G9DY2EqH+c77Cp2RXq+jvr5F6TKcnrSTY9y1nWKjBhAbNQCw0dTSybU2M63tndi4fpOaVqNCH+iLv48XVpvt+hVAViu1dbe+qKW/2kmjVlGv86KlufsDP6jVqh59gba7palTp5Kfn09tbS2tra3k5uaSkpJi9xdrtVomTpzInj17AMjKynJoPSGE6F0qAnVaIkJ0DIsMYnhkEIMNAUSE+OOr1WCx2tzmMtCeshsE4eHhLF26lIULFzJ37lxmz55NYmIiixcvpri4+DvXXblyJdu3byctLY0jR47ws5/9rNcKF0II0TtUNid+6sOddA2dL2+UriEPJ+3kGGknx/Rn19DQyCC8vZyoa0gIIYR7kyAQQggPJ0EghBAeToJACCE8nASBEEJ4OAkCIYTwcBIEQgjh4SQIhBDCw0kQCCGEh5MgEEIIDydBIIQQHk6CQAghPJwEgRBCeDgJAiGE8HASBEII4eEkCIQQwsNJEAghhIeTIBBCCA/nUBBkZ2eTlpbG9OnT2bJly7fmnzx5knnz5pGamsrLL79MZ2cnAJmZmSQnJ5Oenk56ejoZGRm9W70QQog75mVvgaqqKjIyMti5cyfe3t488sgjTJkyhZiYmK5lli1bxn/9138xfvx4XnrpJbZv386CBQsoKSlhxYoVzJ49u093QgghRM/ZPSLIy8sjKSkJvV6PTqcjNTWVnJycrvlXrlyhra2N8ePHAzBv3ryu+cXFxWRmZjJnzhxefPFFGhoa+mg3hBBC9JTdIKiursZgMHRNG41GqqqqbjvfYDB0zTcYDDz//PPs2rWLyMhI1qxZ05u1CyGE6AV2u4asVisqlapr2maz3TT9XfM3bNjQ9fqiRYuYNm1at4oLDQ3o1vI3dFqs1DSb6bRYe7S+K9DrdUqX4BKknRwj7eSY/mgntUqFXq/D30/b59u6wW4QREREcOTIka5pk8mE0Wi8ab7JZOqavnr1KkajkaamJnbs2MGTTz4JXA8IjUbTreJqapqxWm3dWgfABjQ2ttJhtnR7XVeg1+uor29RugynJ+3kGGknx/RXO2nUKup1XrQ0d/+iTrVa1aMv0Ha3NHXqVPLz86mtraW1tZXc3FxSUlK65kdFReHj40NBQQEA77//PikpKeh0Ot5++20KCwsB2Lx5c7ePCIQQQvQ9u0cE4eHhLF26lIULF2I2m5k/fz6JiYksXryYJUuWMHbsWF5//XV+/vOf09zczJgxY1i4cCEajYb169ezatUq2traiI6OZu3atf2xT0IIIbpBZbPZut/30k/upGvofHmjdA15OGknx0g7OaY/u4aGRgbh7eVEXUNCCCHcmwSBEEJ4OAkCIYTwcBIEQgjh4SQIhBDCw0kQCCGEh5MgEEIIDydBIIQQHk6CQAghPJwEgRBCeDgJAiGE8HBuGQTvf37uO+fvL66w+/qNn2+3bG/qj230xvb3F1d0/eut39mT9W61TG+04a327VbTWz864/Dv6+72HV3um+9Ve+v2VZv1lNLveWeXfeB8v27PLYNg14Gy75yfV1Jp9/UbP99u2d7UH9voje3nlVR2/eut39mT9W61TG+04a327VbTl03XHP593d2+o8t9871qb92+arOeUvo97+x251/o1+25ZRAIIYRwnASBEEJ4OAkCIYTwcBIEQgjh4SQIhBDCw0kQCCGEh3MoCLKzs0lLS2P69Ols2bLlW/NPnjzJvHnzSE1N5eWXX6azsxOA8vJyHnvsMWbMmMFzzz3HtWuOXXYnhBCi/9gNgqqqKjIyMti6dStZWVls27aN0tLSm5ZZtmwZ//mf/8m+ffuw2Wxs374dgNWrV7NgwQJycnJISEhg48aNfbMXQggheszL3gJ5eXkkJSWh1+sBSE1NJScnh5/+9KcAXLlyhba2NsaPHw/AvHnz+PWvf80Pf/hDDh8+zIYNG7pef/zxx1m2bJnDxanVqm7vEIAx2A9vrQbVbVY3Bvvh4635ztdv/Hy7ZXtTd7eh9VL3ak2Obt8Y7Nf1s73le9pujqx3q2Vu9Vp32+nG/n19nW/+3lst0506e2P5b9bgSE3f1Wa9/X5yRH/8XfW2/monjVqFMdivR59/Pf3MVNlsNtt3LfD73/+elpYWli5dCsB7771HUVERr7zyCgDHjh1j7dq1/OUvfwHgwoUL/Md//Afvvvsu8+fP57PPPgOgs7OT8ePHU1JS0qNChRBC9A27XUNWqxXV175a22y2m6ZvN/+bywHfmhZCCKE8u0EQERGByWTqmjaZTBiNxtvOv3r1KkajkZCQEJqamrBYLLdcTwghhHOwGwRTp04lPz+f2tpaWltbyc3NJSUlpWt+VFQUPj4+FBQUAPD++++TkpKCVqtl4sSJ7NmzB4CsrKyb1hNCCOEc7J4jgOuXj/7+97/HbDYzf/58Fi9ezOLFi1myZAljx47l1KlT/PznP6e5uZkxY8bw2muv4e3tzZUrV1ixYgU1NTVERkaybt06BgwY0B/7JYQQwkEOBYEQQgj3JXcWCyGEh5MgEEIIDydBIIQQHk6CQAghPJwEgYtbv349b775ptJlOB17AyWKf2lubmb27NlcvnxZ6VKc1m9+8xtmzZrFrFmzWLt2rdLl9DoJAhfV1NTESy+9xDvvvKN0KU7HkYESxXWFhYU8+uijlJWVKV2K08rLy2P//v1kZmaSlZXF8ePH+fDDD5Uuq1dJELiojz/+mOjoaH7yk58oXYrT+fpAiTqdrmugRPFt27dvZ+XKlXLX/3cwGAysWLECb29vtFotI0aMoLy8XOmyepXd0UeFc5o7dy6AdAvdQnV1NQaDoWvaaDRSVFSkYEXO69VXX1W6BKc3cuTIrp/LysrYu3dv1yCb7kKCwMnt3buX11577abXhg8fzqZNm5QpyAXYGyhRiJ746quveOaZZ1i+fDnR0dFKl9OrJAic3MyZM5k5c6bSZbiUiIgIjhw50jUtAx6KO1VQUMCSJUt46aWXmDVrltLl9Do5RyDcjr2BEoXojoqKCl544QVef/11twwBkCMC4YbCw8NZunQpCxcu7BooMTExUemyhIv64x//SHt7O7/4xS+6XnvkkUd49NFHFayqd8mgc0II4eGka0gIITycBIEQQng4CQIhhPBwEgRCCOHhJAiEEMLDSRAIIYSHkyAQQggPJ0EghBAe7v8DJE/rJnjEglgAAAAASUVORK5CYII=\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -369,14 +414,17 @@ } ], "source": [ - "sns.violinplot(x=\"day\", y=\"total_bill\", hue=\"sex\", data=tips, split=True)" + "sns.kdeplot(x, shade=True, cut=0)\n", + "sns.rugplot(x)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Finally, there are several options for the plot that is drawn on the interior of the violins, including ways to show each individual observation instead of the summary boxplot values:" + "#### Fitting parametric distributions\n", + "\n", + "You can also use `distplot()` to fit a parametric distribution to a dataset and visually evaluate how closely it corresponds to the observed data:" ] }, { @@ -387,7 +435,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 14, @@ -396,9 +444,9 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, "metadata": {}, @@ -406,107 +454,130 @@ } ], "source": [ - "sns.violinplot(x=\"day\", y=\"total_bill\", hue=\"sex\", data=tips,\n", - " split=True, inner=\"stick\", palette=\"Set3\")" + "x = np.random.gamma(6, size=200)\n", + "sns.distplot(x, kde=False, fit=stats.gamma)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "It can also be useful to combine `stripplot` with `violinplot` or `boxplot` to show each observation along with a summary of the distribution:" + "### Plotting bivariate distributions\n", + "\n", + "It can also be useful to visualize a bivariate distribution of two variables. The easiest way to do this in seaborn is to just the `jointplot()` function, which creates a multi-panel figure that shows both the bivariate (or joint) relationship between two variables along with the univariate (or marginal) distribution of each on separate axes." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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Seaborn has two main ways to show this information, but importantly, the basic API for these functions is identical to that for the ones discussed above.\n", - "\n", - "### Bar plots\n", - "\n", - "A familiar style of plot that accomplishes this goal is a bar plot. In seaborn, the `barplot` function operates on a full dataset and shows an arbitrary estimate, using the mean by default. When there are multiple observations in each category, it also uses bootstrapping to compute a confidence interval around the estimate and plots that using error bars:" + "mean, cov = [0, 1], [(1, .5), (.5, 1)]\n", + "data = np.random.multivariate_normal(mean, cov, 200)\n", + "df = pd.DataFrame(data, columns=[\"x\", \"y\"])" ] }, { "cell_type": "code", "execution_count": 16, - "metadata": {}, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { - "text/plain": [ - "" + "text/html": [ + "
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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ - "sns.barplot(x=\"sex\", y=\"survived\", hue=\"class\", data=titanic)" + "df.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "A special case for the bar plot is when you want to show the number of observations in each category rather than computing a statistic for a second variable. This is similar to a histogram over a categorical, rather than quantitative, variable. In seaborn, it's easy to do so with the `countplot` function:" + "#### Scatterplots\n", + "\n", + "The most familiar way to visualize a bivariate distribution is a scatterplot, where each observation is shown with point at the *x* and *y* values. This is analgous to a rug plot on two dimensions. You can draw a scatterplot with the matplotlib ``plt.scatter`` function, and it is also the default kind of plot shown by the `jointplot()` function:" ] }, { "cell_type": "code", "execution_count": 17, - "metadata": {}, + "metadata": { + "scrolled": false + }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 17, @@ -515,9 +586,9 @@ }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -525,14 +596,16 @@ } ], "source": [ - "sns.countplot(x=\"deck\", data=titanic, palette=\"Greens_d\")" + "sns.jointplot(x=\"x\", y=\"y\", data=df)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Both `barplot` and `countplot` can be invoked with all of the options discussed above, along with others that are demonstrated in the detailed documentation for each function:" + "#### Hexbin plots\n", + "\n", + "The bivariate analogue of a histogram is known as a \"hexbin\" plot, because it shows the counts of observations that fall within hexagonal bins. This plot works best with relatively large datasets. It's availible through the matplotlib ``plt.hexbin`` function and as a style in `jointplot()`. It looks best with a white background:" ] }, { @@ -542,19 +615,9 @@ "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -562,16 +625,18 @@ } ], "source": [ - "sns.countplot(y=\"deck\", hue=\"class\", data=titanic, palette=\"Greens_d\")" + "x, y = np.random.multivariate_normal(mean, cov, 1000).T\n", + "with sns.axes_style(\"white\"):\n", + " sns.jointplot(x=x, y=y, kind=\"hex\", color=\"k\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Point plots\n", + "#### Kernel density estimation\n", "\n", - "An alternative style for visualizing the same information is offered by the `pointplot` function. This function also encodes the value of the estimate with height on the other axis, but rather than show a full bar it just plots the point estimate and confidence interval. Additionally, pointplot connects points from the same ``hue`` category. This makes it easy to see how the main relationship is changing as a function of a second variable, because your eyes are quite good at picking up on differences of slopes:" + "It is also posible to use the kernel density estimation procedure described above to visualize a bivariate distribution. In seaborn, this kind of plot is shown with a contour plot and is available as a style in `jointplot()`:" ] }, { @@ -582,7 +647,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 19, @@ -591,9 +656,9 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -601,14 +666,14 @@ } ], "source": [ - "sns.pointplot(x=\"sex\", y=\"survived\", hue=\"class\", data=titanic)" + "sns.jointplot(x=\"x\", y=\"y\", data=df, kind=\"kde\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "To make figures that reproduce well in black and white, it can be good to use different markers and line styles for the levels of the ``hue`` category:" + "You can also draw a two-dimensional kernel density plot with the `kdeplot()` function. This allows you to draw this kind of plot onto a specific (and possibly already existing) matplotlib axes, whereas the `jointplot()` function manages its own figure:" ] }, { @@ -619,7 +684,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 20, @@ -628,9 +693,9 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": {}, @@ -638,21 +703,17 @@ } ], "source": [ - "sns.pointplot(x=\"class\", y=\"survived\", hue=\"sex\", data=titanic,\n", - " palette={\"male\": \"g\", \"female\": \"m\"},\n", - " markers=[\"^\", \"o\"], linestyles=[\"-\", \"--\"])" + "f, ax = plt.subplots(figsize=(6, 6))\n", + "sns.kdeplot(df.x, df.y, ax=ax)\n", + "sns.rugplot(df.x, color=\"g\", ax=ax)\n", + "sns.rugplot(df.y, vertical=True, ax=ax)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Drawing multi-panel categorical plots\n", - "-------------------------------------\n", - "\n", - "As we mentioned above, there are two ways to draw categorical plots in seaborn. Similar to the duality in the regression plots, you can either use the functions introduced above, or the higher-level function `factorplot`, which combines these functions with a `FacetGrid` to add the ability to examine additional categories through the larger structure of the figure.\n", - "\n", - "While the main options for each plot kind are available either way, the lower-level functions have a bit more flexibility in the kind of inputs they can take. For instance, you can just pass a ``DataFrame`` to the ``data`` parameter, and the distribution or central tendency of each *column* in the dataframe will be shown:" + "If you wish to show the bivariate density more continuously, you can simply increase the number of contour levels:" ] }, { @@ -663,7 +724,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 21, @@ -672,9 +733,9 @@ }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -682,14 +743,16 @@ } ], "source": [ - "sns.boxplot(data=iris, orient=\"h\")" + "f, ax = plt.subplots(figsize=(6, 6))\n", + "cmap = sns.cubehelix_palette(as_cmap=True, dark=0, light=1, reverse=True)\n", + "sns.kdeplot(df.x, df.y, cmap=cmap, n_levels=60, shade=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Additionally, these functions accept vectors of Pandas or numpy objects rather than variables in a ``DataFrame``:" + "The `jointplot()` function uses a `JointGrid` to manage the figure. For more flexibility, you may want to draw your figure by using `JointGrid` directly. `jointplot()` returns the `JointGrid` object after plotting, which you can use to add more layers or to tweak other aspects of the visualization:" ] }, { @@ -700,7 +763,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 22, @@ -709,9 +772,9 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": {}, @@ -719,14 +782,19 @@ } ], "source": [ - "sns.violinplot(x=iris.species, y=iris.sepal_length)" + "g = sns.jointplot(x=\"x\", y=\"y\", data=df, kind=\"kde\", color=\"m\")\n", + "g.plot_joint(plt.scatter, c=\"w\", s=30, linewidth=1, marker=\"+\")\n", + "g.ax_joint.collections[0].set_alpha(0)\n", + "g.set_axis_labels(\"$X$\", \"$Y$\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "To control the size and shape of plots made by the functions discussed above, you must set up the figure yourself using matplotlib commands. Of course, this also means that the plots can happily coexist in a multi-panel figure with other kinds of plots:" + "### Visualizing pairwise relationships in a dataset\n", + "\n", + "To plot multiple pairwise bivariate distributions in a dataset, you can use the `pairplot()` function. This creates a matrix of axes and shows the relationship for each pair of columns in a DataFrame. by default, it also draws the univariate distribution of each variable on the diagonal Axes:" ] }, { @@ -737,7 +805,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 23, @@ -746,9 +814,9 @@ }, { "data": { - "image/png": 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D4F5dztQ005ypSeNxHnDVSuh02wE9E3hf9/P3AOeM8Dw3VNVdVXUI2MvgnnySOoaaNB5h9duqrPz8frrfzW4D6JOGzhneF/EgXm2RvoehJo3HNcBLug1s6S4//hODHesBLgE+0z2+Azi7e/wzwIkjPP8ysOlYFSsdr/xXnjQGVXVLksuBv09ykMGO9K8E3pnkNxncGfjl3elvBz6U5AYGYXjvCF3sBj6WZH9VPffYj0A6PrikX5LUDC8/SpKaYahJkpphqEmSmmGoSZKaYahJkpphqEmSmmGoSZKa8T8o2469hduOfQAAAABJRU5ErkJggg==\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -756,15 +824,15 @@ } ], "source": [ - "f, ax = plt.subplots(figsize=(7, 3))\n", - "sns.countplot(y=\"deck\", data=titanic, color=\"c\")" + "iris = sns.load_dataset(\"iris\")\n", + "sns.pairplot(iris)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "The `factorplot` function is a higher-level wrapper on these plots that produces a matplotlib figure managed through a `FacetGrid`:" + "Much like the relationship between `jointplot()` and `JointGrid`, the `pairplot()` function is built on top of a `PairGrid` object, which can be used directly for more flexibility:" ] }, { @@ -775,7 +843,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 24, @@ -784,9 +852,9 @@ }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -794,173 +862,20 @@ } ], "source": [ - "sns.factorplot(x=\"day\", y=\"total_bill\", hue=\"smoker\", data=tips)" + "g = sns.PairGrid(iris)\n", + "g.map_diag(sns.distplot)\n", + "g.map_offdiag(sns.kdeplot, cmap=\"Blues_d\", n_levels=6)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "By default it uses `pairplot`, but the ``kind`` parameter lets you chose any of the kinds of plots discussed above:" + "Note on this error about kwargs: https://stackoverflow.com/questions/3394835/args-and-kwargs." ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.factorplot(x=\"day\", y=\"total_bill\", hue=\"smoker\", data=tips, kind=\"bar\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The key advantage of `factorplot` is that it's easy to add faceting by additional variables in the ``DataFrame``, such as along the columns:" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.factorplot(x=\"day\", y=\"total_bill\", hue=\"smoker\",\n", - " col=\"time\", data=tips, kind=\"bar\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Any kind of plot can be drawn. Because of the way `FacetGrid` works, to change the size and shape of the figure you need to specify the ``size`` and ``aspect`` arguments, which apply to a single facet:" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.factorplot(x=\"time\", y=\"total_bill\", hue=\"smoker\",\n", - " col=\"day\", data=tips, kind=\"box\", size=4, aspect=.5)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Because of the generalized API of the categorical plots, they should be easy to apply to other more complex contexts. For example, they are easily combined with a `PairGrid` to show categorical relationships across several different variables:" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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EkJmHupgF4iPvIWEhmypD9X4ISwgSTrSBcBxzGaLIk2QXwdtFZNKZQlyeYQ4ymSwIl7vgqvdMkOQo9Gix5zxIgkNc8DzDWFTRoY7sAJiHZDEFQcIREDAPSVVSuNBKN+eQEEIg2BxMkKBoBeMQ2cncpChKtjCcTBUkVlpB6Uk0GoVgE8DlyyUFOzuGzYTaEbs4dC7Ycj+z5pQ5ipNawZJal4YQwhNCviSE/D7/eDMh5AtCSA8h5BeEEFNPYVspZAPkEquYICkSJE4JokNa8BzDHCiKAqizQIj1ygL1JBQKQXDeOBXxeVHNjmFzUJgnVtQPiuMFCDYHG9+Rp1D2y3GsymYF/g2ArqLH/wHAf6SUbgcwB+DPKmTHmigIEkle8ve85GCrKBRNRHZJEFzSgucY5kBR6A0PSf7eSi5dPQmFQuCdIkYP9WH0UB84noNgF9nFziQEg0EQjgcv2TF24UOMXfgQAJsnVkyhMZpACp4+1qm1CEJIG4CnAfxj/jEB8CiAt/IveRXAd/S2Yz3kXLn2wgl8MbzNgWiUJb4Fg0HwUm7KpOjOCZK5uTmDrWIUkxMf+Ww3Yr0Ys54EQ0GILgmJqSgSU7lFiOiS2MXOJIRCIUh2DwghSATHkQiOA8iFcObZwgdAUS8dgQfJ99OxUh5fJTwk/wnAfwdA9RsFAMxTStVMumEArUu9kRDyI0LIGULImampKf0tXYZcu+2lwzVArtImGmUekrm5OYjufNMtmwBe5DE/P2+wVcZhluO3GKoohRlDVkx60wtFURAOhSE6F0aPBafEjmGTHMPBUAj8Uq0X7G6EQiysBuRn/Yg8CEcKfXSs1H5BV0FCCHkGwCSl9Gzx00u8dMkzIqX0x5TSfZTSfQ0NDbrYWArhSGRFQcLbHEgkEjUfi5+dnYXoyZ3QCSEQPXJNe0jMcvwWo1AFUD19+VySWj9ugVyeiKIoEN22Bc+LbgnzwdoVJGY6hoPB0IL8ERVRdiMaibDjGLnWC4LNun109PaQPADgWULIAICfIxeq+U8AfIQQIf+aNgCjOtuxLiLhSKEj61KodfG1nNhKKcXs3Cwk7408G9ErYXpmxkCrGIuhigLCLcwhsVLSm14U8p9uEiQ2xGNxS7m9q5VwKLSg5FclV3VDWR4fchVhhcZ++SoxK12XdBUklNL/nlLaRindBOAFAJ9SSv8FgM8A/FH+ZS8BeFtPO9ZLOBIuNOBZClWQ1PIXIhqNIpVMLRAkklfG3OwsCwmYCNaHZGnUsMxSggRgydlGk0gkkE6nlumWnRMp7DPKefp4Z74Ts8iBE3lLVYkZ1YfkrwH8FSHkGnI5JT8xyI5VyWQySMTjhXr3pVDFSi0nv83kPSHFgsTmsyOdTlvqC1HNZLNZUKoUOrSqHVuZILmRfC0tI0hqOfRoBpbqQaKiek3YeQaYD85DdN0Im0sum6WEmrD6S7SBUnoIwKH8z30A9ldq3+thqe6AixHyv6tlQTI9PQ0AsPkWekjU33k8HkPsYtzgRgZ+bgWlzrRh4Yich4SXeHD5tvEqEhMkpmAlQaI+Z6ULrx5kMhlEwhE0uusKzwluCbNzswZaVR6sU+sqLNWMZzHq72o5G396ehoggFjsIanLjQmfYXkkpkDNtueF3EWWF20Lnq9l1AoxtQJJRXTbQAip6e+2GVAFiWi/eWEjyE4QQmp6QQjkigoAQPIULQo9Nkudf5kgWYWCK9fhXfY1HMdDtLtq+qQ1NTUFm8deaMYD5E/mPAejywUZOdRsey4vRDgxd+Jiw+MWVogVQzgC0W0rnOwZxqCeW4UlPNWEcBDt7pr3kBTC5sVeap+MeCxumUobJkhWQT0RiY6VQw6i3VfTJ63JqUlIdQs72RKOwOaVmSAxCYVptpJ9wb1VTlZ6QSnF7OzCCrFiRI9U099tMxAMBiFIMnhh6SkjvOzBXA0vCIHisLm98JyU/1n9ndlhgmQVZmZmINpd4Jb5IqiIrrqaLXFVFAUz0zM3CRIAkOpkTExOGGAVYzGFIZH5qjCOF8HxQk1XhwH5CrFUallBInllzMzW5nfbLMzNzUF0+Jb9vejwYG62tvN8pqencw0p7TdSQ9WwORMkVcLU1DRER92qr5OcfoSCwZpMEAwGg0in04WDvxhbnR2zs7OsaZEJKAw/zFeF5SZVO2u+OmEpV3cxkteOSDjCcm0MZGZmFsIKgkRy1iEYnK/p88zU1BRsPvuCPChVZFvFS80EyQpQSjExMQGbu37V19rcAQDW+eC1RP2blxIkUp0dSlZhLm8TEAqFQAi3oOswzwaTFVaPy3lI1MoxKyUHVhOKomB2dgaSa/mFoeSsg6IoNZ3Ht1TYnBM42Dwy85BUA+FwGIlEHDbP6i2T1ddMTNReeKJYkKiTUlVUkVKLQs1sBINBiHb3ghVULhmwtgXJ1NRUrmfDciEbdgwbytzcHLLZLGxO/7KvkVy5301OTlbKLFORTqcRCoaW9PKJPhmTFjl2mSBZgbGxMQCA7G1a9bU2VwCE4zE6auou+LowPT0NXuIhOBdOSgWsF8OsZuaDwZuqFAQ5V51Qy910p6amIHnlBRVixageklq92BmNusizeZb3VKte7Fr9jFTvXXFCq4rkkzEzM22J7zgTJCswMjICoDRBQjgOsrex8J5aYnJyEtKi2KWKYBch2EW2ujQB8/PzEOSF1WKiw4N0OlXTlTZj42Ow+W8+katwIg+bV65J76cZGB8fB4AVPdWCzQHR7iq8ttZYKQ9K8slIJpKWKO9ngmQFrl+/DpvLD15a2pW7GNnXjOHh4ZobVjY1PbVkhY2K5JMxOVWbKxezQClFcD54U/m62miqVns4ZDIZzMzMwBZYfpo3AEgBO8Zq9GJnNGNjY5AcXvDiyudhm6cJIzXooQaKmqItEXZUG6VZIY+PCZJloJRicGgIcl1zye+x17UgmUzWlDcgnU5jfn5+yYRWFVudnYVsDCYajSKbzdzU6VIVKLXaGn1iYgJUoZAblh+eCQByvRPT01NIp9MVsoyhcn14GDbfhlVfJ3ubMDkxUZOf0ezsLHiJL0z6LUYVKUyQWJj5+XlEwmHY/e0lv8cRyL12YGBAJ6vMx8zMDECXjl2qSD47wqEwEolEBS1jFFOYZrtYkMi17SFRc77k+pU9JPZ6J6hCazYkYBTxeByzMzOw+1ZfGNrrmqEoSiH3r5bIdRq+efQBAEheW+E1ZocJkmXo7+8HADgCbSW/R3L5IdgcNSVICiWTK4RsbHWsbNJoVMGxOGQj2F0ghNSsIBkZGQEv8it6+ABAbnQWXs+oHNevXwcA2P0tq77WXte64D21xMzsLESPbcnf8ZIAQRYt4QVlgmQZ+vr6wEsyZG9jye8hhMAe6EBvb9/qL64SCiW/q3hIil/LqDzLDYkkhIMgu2pWkFwfvg650bnkyrIYyStDkAUmSCrM4OAggFw4fDVEhwei3V14T61AKcX83BykZQQJAIgea8xjYoJkGa5d64XD3w5CyvsXOes7MD8/Z4kPXwumpqYgOiTwtptjlyqqh4QJEuPINUUjhS6txQh2T00Kkkwmg9HRUdg33DzSfjGEEMiNLgwO1dbFzmgGBwchexpWTWhVsfvb0F9DHmpg9dEHQC5sY4XxB0yQLMHc3BxmZ2fgbNxc9nvV9/T29mptlimZmlq5wgYAOIGH5GFD9owkFApBkF1LCmxBdiEUqr328aOjo8hmsnBsuHmC7FI4mt2YGJ9gLeQrhKIoGBwcgt1fetjc7m9DcH6+pgT2ap2G1d/Nzc6ZvrX+ioKEEPI7QsjB5W6VMrLSXLt2DQDgbNhU9ntt7nqIshM9PT0aW2U+KKWYnJxcNf4O5HJMWOmvcaiCZClygqT2urWqrn1Hc+mChFKKoaEhPc1i5JmYmEAymSgUC5SCmvNXS2GblUZ3qEh19nwLfnN77pf3s+f43ytihcm4evUqRNlVUsv4xRBC4GjYjJ6ea1AUBRxXvU6oaDSKeDwOX2D1kjyb346py1NV/z8xK8FQ6KamaCqi7MJcIo50Og1RFCtsmXH09/dD8sgQXcvH3otRPSkDAwPYvn27nqYxcKNa0VFfuiCx+zaA4wUMDAxg7969OllmLiYmJsDx3IoeEtmfqyKbnJxEQ0P517VKsaIgoZQerpQhZkFRFPT0XIOjYfOqiW7L4WrcgpHrlzE+Po6WltWTsaxKoYPiCl0uVWS/AzP5niV+//IzKRj6EA6HYWtc+lhUPSfhcLhmPhtKKfr7++HoKM07AgC8LMDe4CxU4DH0ZWBgAKLsgrjClN/FEI6H3d+Kvhr6jMbHx2Hz20G45a9XtkDuHD02Nobdu3dXyrSyWS1kc4kQcnG5W6WMrCSjo6OIxaJwNW1d8zbUPJKrV69qZZYpUQWJXL9yUykAhU6YtdgjwGiy2Sxi0RgE29Kfk1p5Ew7XTh7J5OQkotEonK3est7naPVgYHAAmUxGJ8sYKv39A7AH2steGNr97RgbHauJXB9KKYaHh1dt7MdLAmw+u+mrxFbznT8D4Nsr3KoOVUS41pDQqiLa3ZA9DVUvSMbGxnKzahyru/nVxlNMkFSenNCgNw3WU1E9JLWUR9LXlyvNd7YtHcZaDmebF5l0piZ7XVSSYDCI+fm5svpAqTgC7aBUqYlcn7m5OcRiMdibVq8Uk5ucGLo+ZOoheysKEkrp4Eq31TZOCJEJIacIIRcIIZ2EkL/NP7+ZEPIFIaSHEPILQoik1R+0Xq5evQrZ17RsAmCpOJu2or+/H6lUSiPLzIeqzEtZwfCSAFudHcPDwxWwjFGMKjREeWlBoj5fS4Kkp6cHklteMe6+FKqAURPfGfpQyB8po1O2iiPQumAb1Uzh/9SyurB2tngQDoVN3SBttZDNsfx9mBASWnxfwvaTAB6llN4O4A4ATxJCDgD4DwD+I6V0O4A5AH+2vj9DG5LJJAYGBuFs2LLubbkaNyObzRZWYtVGOp3G+MR4ScpcRW504vowW1lWmhtN0Zb+rHibA4TjaqZUUlEU9Pb2wtnuKTscIMgi7I0u9Fyr/io6IxkYGADHC5B9q09aXwwv5hpa1oIg6e3tBW8TIK8yHBIAnK050WLma9JqHpIH8/duSqln8f1qG6c5IvmHYv5GATwK4K38868C+M6a/wIN6evrg6Jk4Wpae7hGxVHfAY4XqjZsMzw8DKpQOEpoKqXi2OBGOBQuzFVhVIaCh8S+9FeWEAJRdteMIBkZGUE8Hoero/RkyWJcHV4MDQ6x2Uw60t8/AHtdKwjHr+n9dn87BgeHqnryOqUUPdd64Gz1LEhoHT3Uh9FDN4sOW8ABwS6auiVFyfWXhJC7CCH/NSHkXxNC7izjfTwh5DyASQAfAegFME8pVbPChgG0lmO0XvT09IDjBTgCHeveFseLsAfa0dNTna7dgquwufQYvDPvVqyFlYuZmJ+fB+F48LZ8Hs+FDzF24cMFrxHsHszXiCAp5Il1lJfQquLa6Ct4WRjak0gkMDY2Wla572Ic9e1IpZJVnbM2NTWF+bl5uDYuFNaJqSgSU9GbXk8IgbPDi+6r3aYVaiUJEkLI/4ycJyMAoB7AK4SQf1fKeymlWUrpHQDaAOwHsGuply2z3x8RQs4QQs5Uosvn1Z5rsAfawfGrtWcpDWfDZkxMjFdlbL63txdywFFSQquK3OAELwk1cyKv9PG7HHNzc5Ac3kJ4IhEcRyK4cGqt6PCYvmmSVnzV/RXsTS4IjrWlrjlaPOBEvmq9n8UYcQwPDg6CUlpWQ7TFqO+t5hLtr776CgDg3lRX8nvcm+sQi8ZMm8tXqofkRQD3UEr/PaX03wM4AOBflLMjSuk8gEP59/oIIepVvw3A6DLv+TGldB+ldJ/ezVzC4TAmJ8bhbFh/uEbF1bgJQPW1kU+n0+jv74ezrbwVJuEIHK1uXO25aupMb62o5PG7ErOzsxAcK39WosOHUDBk+tbS6yUajWJocAjuTWsL1wAAx3NwtXtxpetK1R/HRhzDfX19IISDfR2CRHJ4ITl9ps6XWC+dVzoh1zvLSsx2b6oDIQRXrlzR0bK1U6ogGQBQ/FfbkAu9rAghpIEQ4sv/bAfwOIAuAJ8B+KP8y14C8HaJdujGjXbxGzXbpuzbAF4yfQ3yAAAgAElEQVSSqy4jv7+/H+l0Gq41nNTdm+owNzvH5tpUkJmZWUjOlVdRktMHSpWqzyPp7u4GpRTuzetrAOfeUofgfLDQi4ehHdeuXYO9rgW8sL7iS0egA729vaYNT6yHaDSKgf4BuLeU7h0BcknZjhY3Ojs7dbJsfaxWZfOfCSH/N3LVMp2EkFcIIS8DuAwgstJ78zQD+CzfRO00gI8opb8H8NcA/ooQcg25MNBP1vNHaEFfXx940Qa7r1mzbRLC5b8U1aXSOzs7wYk8XO3lx+DVC4FZFXq1EY/HEY/HShAkud+rg7qqlc7OTogOqazqsKVgx7E+xONxDA8Pw5n3Lq8HZ+NmxONx0zcDWwtdXV2glMKztXxh7dkawMTEhCm/66t5SM4AOAvgNwD+B+Q8G4cA/I8A3ltt45TSi5TSOymleymleyil/0v++T5K6X5K6TZK6XOUUsNb6vX29sHubwfReM6Ko34jZmdnqqayJJvN4uKli3Bt9IETys+Alzw22JtcuHDxgg7WMRZTmATqWvnEJbkCAFDVnqt0Oo3u7m64t9SteSyEiuiU4NjgxqXLlzSyjgHkvCOUUjgbtWi9kNtGNeb6dHZ2QnLZYG8sX1irIsaMXpLVyn5fXemmvo4Q8mv9TdWPSCSC6ekpOBvWX12zGGd9bpvVklzV29uLaCQK3876NW/Du6MeI8MjmJxk03/1Rv0f29yBFV8nyC7wolTVguTq1atIpVLwbFv5f1Eqnm1+jI6M1kwycCXo6uoCL8lw+Mvv0LoYQXbCXteMK11dGlhmHlKpFLqvdsO91b8mYS15ZdgbnLjceVkH69aHVu6A9ctZA1HFghblvouRvU3gRalqBMmpU6cgyMK6YvC+nfUghODs2bMaWsZYiomJCRCOWzVkQwiB5KrH+MREhSyrPBcvXoQgC2sKNS6Fd3t9YbuM9ZPNZtF55QpcTVs181S7NuzA9aGhqqp07OnpQSadWVO4RsW91Y/BwUFEIqVkXlQOrQSJpVPNC10B61bPHxm78CES8xNIzE+g/8hrN/VzWAzhOMh1beivgt4bkUgElzsvw3tLAzhh7YeO6LLBvbkOp06dYkPKdGZ8fBw2d31JDaZsnkaMjY1VZeVIOp1GZ2dnblXJa3Pak7wyHE1unL9wXpPt1Tp9fX2Ix2LwtNyi2TY9rbltXb5sPm/AWrly5Qp4m1DovLoWPFv8AM15pMyEtgkTFqW/fwByXQu4Ek7aieA4lEwSSiaJ2PTQTf0clsIRaMPE+ATi8bgW5hrGyZMnoWQV+PduWPe2/LdvQDQaxYULLJdET4ZHRmDzltZ+W/Y1IR6LVWWlTVdXF1KpFHw7tS1d9e4MYHRklIUfNeD8+fPgBQmuDds026bsaYDsacCXX1aHaFQUBVe6rsC10bcuYS03OCG5bKZLytZKkKwvQ8xA0uk0RkdHNIlZLkduYiW19ITQVCqF4yeOw72pDrJ/9bkJq+Hq8EEOOHDo8KGqLMszA8FgEJFwuOTKMfV1Zm2atB7OnD0L0Wkru3fOanh3NgAEOHfunKbbrTVSqRQuXrwId8st4PjSmy2Wgqd9DwYHB6oiP2pkZATRSBTuzeWV+y6GEALXZh96rvWYykutlSD5a422U3GGh4ehKArsOgoSe10rQIilW6Z/8cUXiEVjaLhHm/8TIQT1+1oxMT5hOrdhtaCOX7f7W0p6vezbAMJxVTe2PRwOo7v7K3hvqV8w80MLRKcEd4cPZ86eZcJ6HVy8eBHJZBK+Tbdrvm1fx16AEJw+fVrzbVeaQnfWjesTJECuJ1QqmTLVdWm1PiSXCCEXl7hdyvcWAQBQSldOpDAxg4ODAG6MrNYDXrRB9jQW9mU1UqkUPv30UzjbvOuKWy7Gt7MBNq+MDz74gJ3MdaC/vz8/MbU0D4n62mrrbnnu3DlQhaJud6Mu2/ftbkIoGKy6BoiVglKK48dPwOYO6FJYINrdcG/YjlOnTiOdTmu+/UrS3d0NR5OrrJEdy+Fs94JwpCByzMBqHpJnAHx7iZv6vOUZGBiAzeWHYHPquh+7vw1DQ9acPnn06FFEo1E03a/tyYJwBI33dWB8fBznz1dHjNdM9PRcg93fVlJulIqzfiOGh4erZpItpRRfnDoFR7OnpFDj6KE+xKeiiE9F0ferS0tOTV2MZ4sfgiziiy++0MLkmmNoaAgjI8Oo23LPuvvDLId/6z2IxaydsxaLxXD9+vU1dcheCl7KJcZ2X+3WZHtasFofksGVbpUyUi8opRgYHNQ1XKPiCLQhmUxiwmJllaFQCJ9+9ik8W/2Fab1a4t1ZD3ujC+++9y5SqZTm269V5ufnMTExDlfT1rLe52raCkVRTD2ivBz6+vowPTUF/22lJfYmpqJQUlkoqSyiI6Elp6YuhhM4+G5tQGdnJ8Lh8HpNrjkOHz4MXpTh27hXt304GzZB9jbi0KHDllwUArlyX0opXBqEa1RcG32YGJ8wTSJ7qdN+DxBCThNCIoSQFCEkSwixfGH39PQ0YtEo7IHKCBIAporXlcK7776LTDaLDQ9t0mX7hBA0P7IJoWAIn332mS77qEXULozu5u1lvc8RaAMvyabs4rgWTp48Cd4mwLtdm2Zoy+Hf0wRFUaoiT6GSTE5O4vLlTtRtubvk2TXltl4AcueZwPb7MDlp3Zy17u5uCLIAxwa3ZttUJwV3d5vDS1JqUuv/g9zE3x4AdgB/DuA/62VUpVDFgVOHuOViRIcPouyyVIO03t5enDt3DvV3t8Dms+u2H2erF75bGnDo0KGqyIQ3A+fPX4DsqYfNXV5HXcLxcG/Ygc7OTsvH28PhMC5fvgzfrY3gxPLHHJSDze+Aq92LEydPVv3EZC35+OOPwfECAtv2l/yetbReAABv225Izjp89PHHluu1oygKurq64OzwaZqYbQs4ILnNU/5bcpUNpfQaAJ5SmqWUvgzg6/qZVRn6+vog2OyQVmmrrQWEENgDHejt67PElyGdTuNXb/0KNq+MRo0qa1Ziw0ObAIHgrbfesqxL1SxMTU1hcHAAnvbb1vR+b8dtSCaTlm8m9fnnn0NRFAQ06JtTCv7bmxEKBi27Aq80ExMTuHDhAuq27NM9hw/INams3/kARkdGTHMBLpWhoSFEo9FcQzMNIYTAtaUOPT09pgiZlypIYoQQCcB5Qsj/Rgj5twD0P4J05lpvLxyBjbolUi3G2bAR4VDIErMvPvjgA8zOzKLl8a26ry6BXPnkhoc3ob+/HydPntR9f9XMyZMnQQiXK3dcA86GTbC5/Dh+4oTGllWOTCaDEydPwL2pDrY6/bx7xXi2+CF5ZBw9drQi+7M6H3zwAThBRP2O+yq2T1/HXthcfrz/vrUq+y5evAjCc4UQi5Z4twYKgyeNplRB8i/zr/2vAEQBtAP4nl5GVYKZmRkE5+fhaNhUsX06GzYCgOkTBvv6+nDk6BH4b9sAV7s2Gd2lUHdrI9wbfXjn3XdY58s1EovFcOrUaXjadkG0ry3WTAhB3Za7MTQ4aNlS9QsXLiAaiSJwR2klz1pAOAL/7RvQ39eP0dHRiu3XigwNDeHy5cvwb70Xgm39jRZLhXAcGnY9gokJ61T2KYqCCxcvwLXRB14WNN++s80L0SHhyy+/1Hzb5VKqIPkOpTRBKQ1RSv+WUvpXyJX+WhZ1JLWrcXPF9im5ApAcHlOPw47FYnjjzTdh89h1S2RdDkIIWp/YBvAEb7z5pqk6CFqFY8eOIZVKon7H/evaTt2mOyFIdnz00UcaWVY5KKU4cuQI5IADro2VE9QA4N/dBE7kceTIkYru10pQSvHOO+9CsDkR2H6g4vv3tN0Ku28D3nv/fUvkSXV3dyMcCqNul7ZjD1QIR+DZGcCVriuGD9srVZC8tMRzP9DQjorT3d0NyeGF5NI2JrcShBA4Gregp6fHlIlvlFK89dZbCIdDaHtqO3ipvFDNWno4LEZ02dDy+FaMjozgvffeK/v9tUw4HMbhw0fgabkFconza5aDEyQEdtyHq1evWq7hV29vL8bGxhC4s7li4VgVXhZQt7sR5y+cN00ppdno6upCf38f6m95CLxoq/j+CSFo3PMYgvPzOGGBsOTJzz+HYBfh1jh/pBj/ng1QssZXia3WqfVFQsjvAGwmhBwsuh0CMFMRC3UgnU7j6tUeuDZsr/gJy71hO5LJpCmrbU6cOIHLly+j6f6ONZWWraWHw1J4twXgv30Djh49WjXlp5UgV6KdQeOeRzXZnn/rPZAcXrx98KApBfRyHD58GKJDgu8WfTqzrkb9nS1QFAXHjx83ZP9mJpvN4p133oXN5Yd/852G2eFq3AxX01Z8/PEniEbXdp6qBJOTk/iqqwv+2zeA02hK9VLIAQdcHT4cO37MUM/0an/hCQD/B4Cv8vfq7a8APKmvafrR3d2NTCYNd/OOiu/b1bgZHC+YroJhcHAQv/v97+DeXIf6u/Vro18qzQ9thr3RhV/84heYmbGs9q0Yvb29OHv2LALbDsCmkdeP40U07f0GJsbHcfSoNRI1x8fH0d3dnTuBC8YMM5e8MrzbAjj5+cmq6XirFadPn8bU1CQa9zwGUkYHYT1o2vMYkqkkPvnkE0PtWImPP/4YnMgjsFf/XKj6u1sRDoVx6tQp3fe1HKV0aj1EKb0POVHizt+GKaWWDfBfvHgRgmQvJJlWEk6Q4GzaiouXLpkmyzsSieC111+H4JLQ/s0dFfcaLQUncOh4eicyyODV1141RUmaWUkmk/jlL38Fm8uPhlse0nTb7uYdcDfvxAcffGiJLsOHDx8GJ/LwV6jUdznq725FMpE09ORuNhKJBD748EM46tsNWQwuRvY2om7jHThx4qQpFz2jo6M4f+E8Ardv0GR2zWq4Orxwtnjw8ScfI5lM6r6/pSi1U+tzAE4BeA7A9wF8QQj5Iz0N04tUKoXOzitwtew0TKF7W29FJBw2xRCzbDaL13/6OqKxCDqe3qlLFvdakbwy2r65A+Nj4/j1r39tif4tRvDb3/4Wc/NzaL7rGXCCticuQgha7nwKhBfxxhvmTjQOBoP48vyXqNvdCMGu/wl8JRwb3HC2enDk6FFLhbv05MiRI4hGImja87gpFj0A0LDrYYBwpstXo5Tit2//FoIsomFf6X2g1pPHRwjBhoc2IRKO4NNPP12L2eumVJ/mvwNwD6X0JUrpnwDYD+B/0s8s/bh8+TLS6RR8a2wapQXu5h3gRQnnzp0zzAaVd955B/19/Wh5bCvsjS6jzbkJ9+Y6NN3fgS+//NIyYYNKcvbsWZw9exYNOx+Es16fjsOC7ELL3c9ibGwUv/vd73TZhxYcP34ciqKg/s4Wo00BkPOShIJBSw9004pCwnXrLjj8xoeEVUS7G4Ht9+LixYsYHh422pwCZ86cwUD/AJru7yhrkbjePD5Hsxu+XQ04fOQwxsbGyjV73ZQqSDhKaXFjiJky3msqTp85A8npg0Onk3cpcIIId8suXLhw0dAY87lz53Ds2DEE7mhG3S5jEgBLoeGeNni2+vHOu+9YruJDT0ZGRvDrX/8azoaNmodqFuNu3o7A9gM4efIkzp49q+u+1kIikcDJz0/Cuy0AySsbbQ6AnJiW/Q4cPnK45r17n376KTKZNBpv/ZrRptxEYPt9ECS7abwk8/PzOPi7g3C2elC3Z33Vcmuh+eHN4CQev/jlLyvu3StVVLxHCPmAEPIDQsgPALwD4N3V3kQIaSeEfEYI6SKEdBJC/k3+eT8h5CNCSE/+Xvv2c0swMzOD3mvX4Nt4u+Euw7pNdyKdThm2ehodHcVbb70FZ6sHzRXuN1IuhBC0fWM7bD47fvqzn2J+ft5okwwnHA7j5VdeAREdaLvneyCc/uuDpt2PwtmwEW+99WsMDQ3pvr9yOHv2LJKJJOrvMs/qmxCCwJ3NGBsdM0V41iiCwSA+//xzeDtuh60CYzrKhRdtCOy4Hz09PYYPP1UUBW/+/E2ksxm0PrHNkOuUYBfR8ugWjI6M4MMPVx9cqCWlnsUogP8PwF4AtwP4cYnvywD4bymluwAcAPCvCCG3AvgbAJ9QSrcD+CT/WHc+//xzEELg23h7JXa3InZ/K2RvI06cPFnx1VM8Hsdrr70GYuPR/q2dIDqWk2kFbxPQ/sxOJFNJvP7T12s6Lp9Op/HKK68gEomh/b7vQ5ArM8WBcBza9v8heNmNl195BXNzcxXZ72ooioJjx47BscENR7N2k1C1wLerAYIs4tixY0abYhiHDh2ColA03PKA0aYsiz8/T8foRoCffPJJLoT+9S26DjRdDe/2etTtacJnhz6raCPPUq9ET1BK/5lS+leU0n9LKf0NgKdWexOldIxSei7/cxhAF4BWAH8A4NX8y14F8J3yTS+PdDqNU6dOwd1yC0S7R+/drQohBHWb78bY6GhF23Orzc/m5ubQ/vQOiM7SRn6bAdnvQMsT23B96Dref/99o80xBEVR8Mabb+L69eto3fcHsPsqW00i2BzouO95JFIZ/OM//gSxWKyi+1+Knp4ezMzMVLRNfKlwAo+6PY24cuVKTXr2otEovvjiFLzteyA5K+IIXxOcIMK/7V709PQYlkvS3d2Njz7+CL5dDfDp1JW1HFoe2Qw54MTP3vhZxRYfqzVG+y8JIZcA7CSEXCy69QO4WM6OCCGbANwJ4AsATZTSMSAnWgAsmcBACPkRIeQMIeTMesfSnzt3DvF4HP4t+9a1HS3xdtwGXrRVdPV05swZXLp0CU33d8DZYrwwKxffjnr4b2vC4cOHTT8TSMvjF8iJyYMHD6Lz8mVs2PsEPK23lL2NsQsfIjE/gcT8BPqPvIaxC+W7ZG2eerTf+0eYnpnGq6++Znj77c/znSw928wXDgAA/20bQCm1ZAnweo/hL774AplMGoEKDtBbK/4td4EXJUO8WdPT0/jZz34GOeBE66NbDU8pAABO5NHx9E6kMumKtV5YzUPyBoBvAziYv1dvd1NK/4tSd0IIcQH4NYD/hlIaKvV9lNIfU0r3UUr3NTSsXTFSSnH06DHIviZDk1kXwwsSfJvuxKVLlyuyepqbm8PbB9+Gs82L+n3mibWXS/MjmyH7HfjFL3+JeDxutDnLotXxq3Lo0CGcOHECgW33IrDt3jVtIxEch5JJQskkEZseQiI4vqbtOBs2ofXuZ9Hf34ef//znhvXUiUQi6Orqgu/WBsMaoa2G5JXh6vDh9JnTpuk9VCrrOYYVRcHJk5/D2bAJssf4Ff9q8KIMT/ttuHDhYkW7tyYSCbz8yivIIIuN376lItPVS8VWZ0fbU9sxOpLLOdQ7vWC1xmhBSukApfTFfJM09TZb6g4IISJyYuRnlNJ/zj89QQhpzv++GYCuo12vXbuGyckJ+LfuN4XyLMa/ZR8oKE6ePKn7vn779tvIKFm0GZQspRWcwKP1iW0IhYIVT7oyirNnz+K9996Dp+1WNN32uNHmAAC87XvQdNvjuHTpEg4ePGhIJcmFCxegKIqpq8QAwHdrA4LzQcOTJitJb28vgsF51G2+y2hTSsa/+S5ks5mKFRsoioI33ngD09NTaH96h2kqxIrxbPaj6YGNOH/+PD777DNd96XrkoLkrno/AdBFKf0/i351EDcG9r0E4G097Th69CgEmxPett167mZNSE4fPM07cfLzz3V1iXV3d6PryhU03ttmyoO+XBzNbvhv24ATJ05gfHxtq3yr0N3djV/96lcFr4SZxGT99gMIbLsXJ06cwKFDhyq+/0uXL0H2OyDXVyaxd614twbA8ZzpRkboyfnz58GLNribtxttSsnI3ibI3kac+/LLiuzvvffew1dffYXmr22Gq72yk6nLoWFfK3y3NOD999/X9RjW28f5AIB/CeBRQsj5/O1bAP5XAE8QQnoAPJF/rAvT09P46qtu1G2+Cxxvni6kxfi37UciHseXOn0JKKV4/4P3IXllBEzSNEoLmu7vACfyhmfG68nIyAhef/11SO4GtB94zpTHcNNtj8PbthvvvfdeRZv9xeNx9Pf3w71Vuymo2WQGkiThwQcfhCRJyCa16UzLiTycHd6aGRapKAqudHXB2bQVHK9t19xsOrnwM0pr2+bc3XILhgaHdA/bnD17FocPH4Z/74aKzKpZD4QQtD6+DY4Nbrz58zd1a5qmqyChlB6jlBJK6V5K6R3527uU0hlK6WOU0u35+5JDQOVy8uTJfEWLed2GjkA7ZG8Tjh0/rovbu7e3FyPDI2i4p1XXiZGVRpBF+O/YgEuXL0GLpFGzMT8/j5/80z8BgoyO+18wZFR7KRBC0HL3t+Fs2Ihf/vJX6O3trch++/v7QRUKV4d2K8tsKov9+/fj2Wefxf79+5FNaVde7urwYW5uzjTl0noyPj6OaCQCd9NWzbetpBMLPiMlrW1zSVfTVgBU1yaMw8PDeOvXb8HZ5kXLI5t124+WcAKHjmd2AiLBK6++okuFXfVcnZYgnU7jzJkz+VJfbfoT6KHOCSGo23I3JsbHdWk4derUKfA2wbBx7HoSyA9RM2P30PWQSqXw8suvIB5Pov2+FzQ7fvWC4wW03/tHEJ0+vPbaaxUZVjY4OAjCETiatRt5wEs8Tp06hYMHD+a+N5J2CYbO1lxVWy3kkVy/fh0AYA+0a75tTpQXfEacqG0I2u7bAMLxujX/i8VieO3118DLAjq+tcMSfaBURJcN7U/vxPz8PH7+i59rvoC2zn9iDVy+fBnxeBx1m+/QbJt6qXNv225wgqh5aWA2m8WVK1fg2R7QvQpBL3f3SoguG1ztPly8dEn3fVUKSil+8YtfYGx8DK37vwfZaw0hyUt2tN/3PNJZ4J9efln3iaETExOw1dnBCdqJBt4mIJVK4dixY0ilUuBt2oXIbH4HQIDJSV1z+E3B2NgYeFHSpfcIL9oWfkYaew4Jx0P2NukSllD7QAWDQbQ/vROCwzp9oFScLR5seHgTvur6CsePH9d021UtSM6fPw/R7oGzQTuXmF7qnBdtcLfcgosXL2k6UXVkZASpVApuDd3ay6Gnu3slXB1eTE9NIRwOV2R/enP8+PFcr5jdX4d7wzajzSkLm8uP1v3fw9TUlO4TmqempyD5rJOgzQkcbB4Z09PTRpuiO3NzcxAdPlMlYJeD6PBhdk77Vgxnz57F5cuX0XR/h+m6CpdD4PZmuLf48c4772haVFC1giSRSODq1avwtO7S9Euhpzr3tu1GMpnQtOHXxMQEAMDepP8kXz3d3Suh/m3q32plRkZG8PvfvwN38w4Etpu/mdRSuBo3o3HXIzh//ryuobRYPA7erm3CpN7wdtHUvXO0IhKNgreZu/JpJQTZiWgkouk2w+Fwbmheiwf1d1u3DxSQny/2+DYQkcNbb72lWX+dqhUkvb29yGazcDfvMNqUknE2bALHC5rODlAT6ES3/gmRerq7V0Ly5FbJVk8WzGQyePPNn4OX7Gi56xnLri4BoH7n/XDWd+C3v31bt88lnUqBE611CiMip3soywxk0hlwnPkqwkqFcAKyWW1Dzh988AGSySRaHtevE2slw+aCQ8SGhzdhaGhIswpRa32by6C3txccL8Dut44S5XgBjkAHenq0y+7OZrMgHAHhrHtxWw3C5/42qw/cO3r0KCYnJ9B857cg2By67EPvkkkVQji03P0sMtksDh48qMs+eF4AzVa+Gdt6oFkFgmDdC3Wp8AIPqlj3+0iVLHheOw/v9PQ0Tp85jbrbmiD79fluA5UPm/t2NcDe4MQHH36gyfm3agXJyMgIZN8GU/ZtWAm7vxVTU5OazQfheR5UoaCKtU7c5aBelLQ8gVSaaDSKTz75BO7mHbp69fQumSxGcvpQv/NBdHZ2or+/X/Pty7KMbEL/xGktURJZ2O3GTXGtFA67HVkdjy29yabjkGXtPie1E3fjfu2rjoqpdNicEILGA+2Yn5vHlStX1r29qhUkE5OTkNz1RptRNjZPPSilmvXVcLtziVOZqP6DkYwinf/bPB7rDQtUOXLkCFLpNJp2P6rrfvQumVxMYNu9EGWXLi3+6wMBpILWuehRSpEKJeD3a9fIzazU1dUhHbNuCDUdnYM/oM3nlM1mcebMGXi2+nWfrm5E2Ny92Q/JbcPp06fXva2qFCSKoiAWjUKUrZfFLORt1qpLYGNjrmQ0MW38mHi9SEzl/lfq32o1MpkMPv/iC7ibd8Lm0VdE610yuRhOEFG3dT96e3s1TzpuampCciYGmrXGwLrkXBxKRrHscVoOTU1NyCTjSMetV/lGKUUyNIVGDQZiAjlvfTweh2e79RbIpUA4AvdWP3p7e9ddIVqVgkSdCcMJ1qvxVm3WKvGttbUVhBBEx0oesmw5YmNhOJwO+HzmnQWxElevXkU8FkPdJu365ZiJuo23A4Tg/Pnzmm5306ZNUDIK4pOVm8y6HmIjue/gpk2bjDWkAnR05Kaqx2auG2xJ+SRDk8imk5p9TmqDNbUxXjXibPEgnU6vuwS4KgWJmjSmaJwlXQlo3matEt9kWUbHxg5EBrSvqTcDVKGIDM5j546dlq1K6enpAceLcDZsMtoUXRBkJxx1reju1q56DAC2bt0KwhGE+nSbPKEpob5ZeLxeNGi08jYzra2tsNlkRCYqM0ZAS1Sbt2zZosn2QqEQCM9BcFirRL0cRE/O0xoMBte1naoVJJJkQzZlvTCFarPDoV0m9p7dexCfjCA5a73/x2pErs8jE09j927zTXIuldGxMci+JsslYJeD7G/BxMS4po3SnE4ntm3dhtDVGV0bsGlBNpFBZHAed9x+u2WFcznwPI9bb92FyNhVKBartgmNdKG1tQ11ddp0mU2n0+B4rqo/d7UL+HorbapSkABAY2MDkiHrtWhOBHM2a7mKuuuuu0A4gtlO6/0/VmP28gRku4xbb73VaFPWzPx8EIK9et25ACDavUin05o3Bbv77ruRDMYRGVrfyrbk3ZcAACAASURBVExvZjsnQBWKu+4y75BPrbnjjjuQScURHu022pSSSQQnEJ8bw513ahc+tdvtyKYylsl1WgtqtZssry9JvmoFSXt7OxLz45arhY/PjiAQqNe0NNDtduO2Pbdh7vIEsinrhbGWIxVMIHRtBvfuv9fSvR0opSCkar+KAFBYHWrtydi7dy+cTidmvhzVZHtygxOcxIOTeDhbPZAb1t9tlGYVzF4Yx6bNm9DS0rJ+Iy3Czp074fP5MNu3/uqLSjHbewY8L+Duu+/WbJtNTU0AgPi0NXKd1oKax6X+rWulas+CO3bsQDadRHRqwGhTSiZnbz9uuWWn5tt+5JFHkE1mMHNe+4FRRjF5ehg8x+PBBx802pR14XI5kUlo26babGQSEXAct+4V1GIEQcBDDz2E8MAcYuPrr+ho+doW2BucsDc4seW529DytfXnEcx1TSEVSuBrj3xt3duyEhzH4cEHH0Rs+rqmya2ydwM4wQZOsMFR3wHZu0GT7abjIcwPXcS+fXfD6dSu7b2aHFuteXwAEB6cQ11dHbxe77q2U9WCRJJsmL9+2WhTSiY82g0lm8HevXs133Z7eztuvfVWTJ8ZRSamTdM1I0nMxjDXOYH77rtv3V8Co2lqbEQyNGn6PIj1kAhOIBCo16V53f333w+7w46J44Om+x8q6SymvriO1rY27Nq1y2hzKs6BAwfgcDgxeeWQZp9N8+3fgOxrguxrwuaH/wTNt39Dk+1OdR8HKMXXv/51Tban4vV6sWXrFsxdmazKBpWpUAKRwXlNwpFVK0hEUcQ99+xDaLgT6bh2Ja96qXNKKWaufY7GxkZs3LhRk20u5qmnngLNKBg/PqDL9isFpRRjn/VBtsl49FF9G4lVgh07diCTjCE+O2y0KbqQTScRmx7Ezp36dKCVZRnfeOIbiFwPItRrroqbqbMjSIWTeObpp6s6qXE5JEnC448/hujUICLj2o3E0JpkeAbz/edw4MC9ujSue+D+B5AKJjDXVX15fJOfXwfP89i/f/+6t1W1ggQAHnroIYBSTF89qdk29VLnkfEeJIKTeOSRR8Bx+nwsTU1NePjhhzHXOYnIde3dh3rE35di/sokIteDeOqpp+By6T/FWG927doFSbJhtk+/ybhGMj90EUo2gzvu0K/PyoEDB9DU1ITxw/26z+8oleR8HNNnRrB3715s3brVaHMM48CBAwgE6jFx6SNTtmKglGLswvuQJAlPPPGELvvYs2cP2tvbMXliCJmE9T3UKrHxMOauTOKBBx7QpCqpqgWJ3+/HPffcg7m+s0iGZ4w2Z1moksXE5U9QX9+gexb+448/jkAggJEPr2k+CVKP+PtiUqEExg4PYNPmTbj33ns1374RyLKMe+/dj9BwJxIhbUYGmIVsJoWZqyewceOmQrMsPeB5Hn/4h3+IVCSJiRODuu2nVCilGP24F6Ig4tvf/rbR5hiKIAj43ve+i2RkFlNfHTPanJsIDnciOtmv6wKHEILvfve7yMYzGP2kV7fQYqUWhUAuHDn8fg88Xi8ee+wxTbZZ1YIEAL75zW9CFEWMXXjfdPFllZlrXyAZnsEzzzyt+4A4SZLwwgsvIB1NYfija6b9nyyFklVw/d2r4AmHF55/QTdPkhE8+uijsMkyxs6/Z6nPZDWmuo4gHQ/jmWee1n1fmzZtwgP3P4CZ82O6eADLYebCOCLDQTzz9DOWz3HSgu3bt+Ouu+7CzNUTiM+ZJ7E+nYhg4sIHaG9vx4EDB3TdV1tbG77xjW8g2DODmS/1+R9UYlEI5AT39Q97kAzG8eILL2hWFVo9Z/RlcLvd+Na3nkJ0sh/zg9q2rtaCZHgak1cOY/eePRVLetu4cSO+9dS3ELo2g+mzIxXZpxaMHe5HbDyM7z/3/aobUOZ0OvHtZ55BbHpI0xDjYvTKgVqKyGQ/Zno+x/79+3XLi1rMU089hUB9PUY+uGbYJODETAwTxwaw85admsTVq4Vnn30WTpcTo2ffhpI1PmxBKcXYud8DShrPP/98RRY4X/va17B7926MHe23TIfhpZg4MYRQzwye/tbTmoYjdf0ECCH/RAiZJIRcLnrOTwj5iBDSk7/Xph3eChw4cABbtmzBxKWPkIqY5yBQlCxGzrwN2Sbhe9/9bkWT3h5++GHs3bsX48cGEbxm3nCWyvT5UcxeHMcjjzyiSxWSGdi3bx9uu+02TF35TLeW23rlQC0mFZ3DyOnfoL6hAc8++6wu+1gKSZLwxy++iEwsjeGPK+8BVDJZXH/vKmRJxvef+35NJrIuh8PhwAvPP49EaBrjFz822hzM9p5GePwann766YoNPOQ4Di+++CJaW1tx/Z1uwz15a2HqzDCmTg9j//79ePjhhzXdtt6S8BUATy567m8AfEIp3Q7gk/xjXeE4Ds8//zxEnsPw6d+YppXxZOdniM+N4bnnnoPbXdnJxIQQPP/882hrb8Pw+1cRHTXv8L3gtRmMHe7Hrbfeiqeeespoc3SDEILnnnsOTU0bMHzqnxGfX9+gKqPIJGMYOvFzCBzFn/7gB5Ckyg65bG9vx5NPPonQtRnMXqzs/3Ds8AAS01G8+OKLFf9OW4EdO3bkEuv7zyI4fMUwO+JzY5i4/Alu2bUL999/f0X3LUkS/vzP/hz19fUYPPgVItfN3WW4mOlzoxg/Noi9e/fie9/7nuaCW1dBQik9AmCxS+IPALya//lVAN/R0waVuro6fP/7388diJeMV+eh0W7M9HyO++67D3v27DHEBlEU8cM//SHqvHUYfLsL8SnzdRKMDM3j+ntX0dHegT/+4z+uqryRpZBlGT/84Z/C6ZAxdPwNyyW5ZlMJDB1/A9l4ED946SXDBsk9/PDD2LlzJ8aODCA2sf6GaaUw/9UUZi/lvHg7d2rf3LBaePLJJ9He3oGxL39vSLFBNhXH8Klfw+124fnvG+PFcjqd+Msf/SUCdQEMvn0F4f65ittQDpRSTJ66jrEj/di9Zw9efPFFXc7FRpzdmyilYwCQv6+Mrwy50quHHnoIs72nMT90qVK7vYlkZBajZw+ita3N8Ax8l8uFv/iLv4DD5sDAP3ciYaL2xpHrQQwe7EJjfQN++MMfVnylbRQ+nw9/+aMfQRZ5DB79KRLBCaNNKolMMobBYz9FMjSFP/mTP9FsWupa4P5/9u40uK0q7Rf9f+2tebQly/OUwUnIQBJiAiRh7jRjgAa6X7pJCN3QzH1O3S+3+g513/fTOafOPR/uPVW3blXf7gPdb9NACCQEEkLShExA5jijE8fzPMm2rHlc94MsI0+xZUvaW9Lzq6KsyLL2g7S19Oy1nrWWIOCll16C0WBEx/6GlE+19Nk96Pq2CdWLqvH445M7hUk8hUKBHTu2Q61UovP0pwgH/Wk7NucRdJ7di5DXiVd27EjqiqyJMhqNePutt1BkK0Lbl/UYuSHPiw/OOXqOt6Lvh3asX78e219+OWWTL2R9uckYe4Mxdo4xdm5gIDlv1pNPPonq6kXoubhfki7xcNCPzlO7oFKKeGXHDlnswWKxWPDWm29Co1Cj9fPrskhKXB0jaNtXD6ulAG+++WZSdz9Ol4WcvzabDW+99Sa0ahGtJ/4dHru8F00LekbRduJvCLoGsXPnK1ixYoXUIUGv1+OVHTsQcgfQefBWyupJwoEQ2r+6Aa1ag5d/k7rGWgqpaIOBaNK9ffvL8Dvt6D7/ZdpqffqvH4OrrwnPPfdsSqehz5XBYMBbb72F6upqdBxswMAFeU0yiIQi6DjYAPvFbmzevBn/8i//ktLzW4qEpI8xVgIAYz9nXLqOc/4nznkt57w2WV2/oihix47tMOj16Dz1KUL+9H35cs7RdW4f/M4h7Ni+PWnbWyeDzWbDW2++BY1CjZbd1+Dtl25vFWfrMNq+qEdBvhVvvflmxi5+ttDzt7CwEO++8w7MRj3aTv4dzp6GFES5cL7RAbQc+wARnxO/+93vZLVEemVlJZ595lk4W4fRfyb5SR3nHF2HGxFw+LD95e1ZN8U3FW1wzNKlS/Hkk09itPsGBm9+n9Tnno6jqx6DN7/H3XffLas1jLRaLV5/7XWsXr0avcdb0X20WRZLzId9IbTuvQ7HzUE8/vjjeOaZZ1I+ZC5FQrIPwM6x2zsBfJHuAIxGI3bufAWRgBudZz5P247AAzdOwNlzE9u2PY2lS5em5ZiJKCwsxDtvvwO9Ro+W3dfg7kp/oavj1iDa9tWjyFaEt99+O+cLAy0WC957912UFBej/dSnGGo6J3VIE7j6W9B67AOoRY533nlbluf1vffei/Xr16P/x3a42pM7q8Fe1wPHLTueePyJnF6Ndb4eeOCB6Htz/SicPbdSdhyfow/d5/ehsrISv0jzjMa5UCqV2L59O7Zs2QJ7XQ/aD9xEJCTd5IvAqB/Nn16Bt8eJl156CY888khaXrNUT/v9CMCPAJYzxjoZY68B+C8AtjLGbgHYOvbvtKuoqMALL7wA90AbetNQ5DrafRMD9cexYcMGbN68OeXHmy+r1Yp333kHeaY8tO65Bmdr+oqthq/1of3ATVSUV+Ctt96SdHxXTgwGA95++y3csWIFei4dRM/lQ+A8InVYGG6tQ/v3H8Gan4c//OE9lJaWSh3StBhjeOGFF1BYVIiOrxsQdCWnZsHT40TviVasXLkSDz74YFKeM9cwxvDiiy+itLQMXef2wu8cTPoxQn4POk59Cr1Wi1deeUUWw+TTEQQBzzzzDLZt24bRJjtaPruGkDf967V4+11o/uQyuCuM1197PeWrh8dL9SybX3POSzjnSs55Oef8L5xzO+f8Uc55zdhPyRYG2bBhQ1yR6+WUHcfvHET3+S9QVl6ekqlSyZaXl4d33n4bhbZCtO2rh+NW8huJyQYvdqPzcCOWLlmK3//+90lb+S9bqFQq7Ny5E5s3b8ZQ4xl0/PgpwqGAJLFwztF39Qi6L3yFJUsW491335HV8ON0VCoVXtnxClgI6Dh4a8Fd4mFfCB1fN8BsNuNXEs3UyBZKpRI7d74CjUqJjlOfIhz0Je25eSSCzjOfI+xzYufOV2AymZL23Kly//33Y8f2HQgMeNG86woCjuS9HrNxtY+gZfdVaBUavPvuu2nv8ZR1UWs6PPnkk1i8eDF6Lh5ISZFrOOhHx6lPoVYpsfOVV6BUKpN+jFSIVoC/jcrKSrQfuImha6mZ6cE5R9+pdvQci04n+93vfge1Wp2SY2U6QRDw7LPP4rnnnoOrrxGtx/+KoCe9w2qRUBCdpz/DYMMPuOeee/Daa69lTPJYWFiI559/Hu5OBwbOzr+ehHOOrm8bEXIFsP3l7RlZcC03+fn52LFjO4LuYXSd25e0Ite+a9/BPdCK559/XhZFrHO1Zs0avPHGG2A+juZdV9KyJMNIwyBa915HQX4B/vDeH1BcnLpVnGeS8wmJKIrYvn079Hodus58ltzsnHN0X9yPgGsI219+GXl5eUl77nTQarX4/eu/R83SGnQdbsRgXXL3X+Cco/dkG/pPdWDDhg3Y/vLLsu1OlZNNmzbhd7/7HSKeEbQc/R9p2xsk6HOh9cS/Y7T7Jp5++mk8//zzGTejZMOGDVi3bh36T3fA0zu/9UlGbgzAccuOxx57LKO+5ORu8eLF2LZtG5w9DUkpch3tqof91o+49957cffddychwvSqrq7GO2+/A42oQetnV+HpSd16OkNX+9Bx4CaqqqrwzjvvSFacnfMJCRAdo9+xfTsCbge6L+xPWnY+3HIBo53X8dhjj8my2G8uVCoVfvvb32LlypXoOdqMwQvdSXlezjl6jrVg8HwX7rvvPvzyl7/MuC83KS1fvhzvvfcudGoFWk/8LaGCQI25OOE9bPyjg2g9+j5CrgHs3PkKHnjggYwdpnjuuedgNBrRdagRkVBitThBlx89R1tQXV1NdSMpsGnTJqxduxb99cfgHmid9/P4XUPovvAlyssr0rp1QbIVFxfj3XfegVFnROvnqZloYL/Ug65/NmLZsmV4/bXXJe3xpIRkTHV1NR5//DGMdtVjpO3Sgp/PPzqIviuHUVNTg4ceemjhAUooupDRDqxevRo9x1sweHHmpERj08+65XVsoR17XQ+2bNmC5557LutXYE2F4uJi/OEP76G4sBAdp3ZhuHVum0eWrP15QnvYeOwdaDn+AZRCGG+99RZWrVo135BlQafT4cUXXoRvyJPw0E33d81gYeBXv/oVnbMpECtyLbAWoOvsXoT8nmkfd7ukOhIJo+vsHigV0SUeMr3X1WKx4J2330GeOR9te68ntafEfrkX3d81Y+XKlXhVgm0eJqNPVJwHH3wQixcvQd/lQwi45z+7hEfC6Dq3F2q1Km27SKaaKIp4+eWXsWr1avQca5mxpqT0ocWzbnndf6pjfKGdbdu2ZeyVthyYTCa8/fZbWLp0KbovfIXBhh+S+vzO3ka0nfwQeUYD/vDee6ioqEjq80tlxYoVWL9+PQbOdcE/4p3T34y2DGG0aQhbt25FQUFBiiPMXWq1Gtu3v4xI0IvuC19N22N9u6S6//pReId78Ktf/lL2xdZzZTab8dabb8JsNKN173X47NMnaokYuTmA7iNNWLFiBbZvl0filvnflEkUXW76X6AQ2YKGbgYbfoR3pBcvvvBCRlR1z5Uoinj5N79BTU0Nuv7ZOK/ts+2Xe9B/ugO1tbWUjCSJWq3Gb3/7W6xduxZ9V4+g//qxpAw7jnbdQMepXSguKsK7774Di8WShGjl46mnnoJSVKDneMusj42EI+g91ooCWwHuv//+NESX20pLS/HEE0/A2dMARwIzID32DtgbfsTGjRsl2yMsVcxmM9544w1oVRq07bm+oOnrrk4HOg81orq6GjtksmI4QAnJFHl5eXjqqafgHmid19CN32nHwI0TWLNmDdasWZOCCKWlUCiwc+dOlJaWoePrhoRWdHW2DqPnuxasWLECL7zwQlb0HMmFQqHAr3/9a9TW1mLgxgkM3DixoOcb7b6JzjOfo6K8HG+++UbGrpZ7OyaTCY8++iiczcOz7nY9fK0P/hEvtj29TTaNd7bbsmULqqsXoffyYYR8s7czkUgY3Re+gjkvD08//XQaIkw/i8WC1197HTwQQftXNxOugQKii5517L8Jq8WKV199VVYzP+kbYRobN25EdXU1+q8dQTiQ2Kyb3suHoFIq8NxzadnEWBIqlQq/ffVVGHR6dOy/ibAvNOvfBEZ96DzYgKKiIvzmN7+hAtYUEAQBL774YjQpqT+OwVun5vU8rv5mdJ75HOXlZXj9dWmL3FJt8+bN0Ov16P+xfcbHREIRDJ7pQmVVlSz26MkV0fP5BfBwEL1Xv5318faGH+F32vHC889Do9GkIUJplJaW4qV/eQmeXid6TszeuxcvEo6gff8NiBEBv331VdlNWaeEZBqx9R5Cfm9CV5rO3ka4+pqwdevWrF/y3Gw2Y8f2HQg6A+j8tvG2QwQ8wtFxoAEiF7Fz586sbiykFktK1qxZg74r/4Sj83pCf+9z9KHz9G4U2mx47bXXsv69UqlUeOihh+DqcMzY2+e4OYCAy4+fb91KQ4xpVlhYiAcffACO9ivwDs1cTB/0uTDY8D1WrVqVE0njmjVroot6XuqFs2Xu9Y79pzvg7XPhV7/6FZK9N1EyUEIyg7KyMtTWbsBw87k5LT7FOUf/te9gsVixadOmNEQovaqqKjz22GMYvWXH6C37jI8bvNAFT68TL7zwAqxWaxojzE3RWqiXUF1dje7z++a84F/I70HHj7ug02rw2mu/k93VU6ps3LgRKpVq2tljnHPY63pQWFSImpoaCaIjDz/8MHR6PfquzdxLMlB/AoiE8eSTT6YxMmk9/vjjKCoqQtc/mxAOzL7vjbffhYGzndiwYYNsywkoIbmNn/3sZwCAgTks0uPsvgmfow9bt/4sp8aYH3jgAZSVl6HnaAvCgalDN4FRP/pPdWDlqlVYu3atBBHmJqVSiVdeeSW6q/Xp3bMu+BfbiTrsd+HVnTszbhG/hdBqtVi/fj1Gb9kR9k88h30DbngH3Nh03ybqHZGIRqPBo488AvdAGzz2jim/D3qdGGmrw9133y3Lq/5UUSqVePHFFxF0+9F/eurrEo9zju6jLdBpddi2bVuaIkwcJSS3YbFYUFu7ASNtdQj5Z166l3OOwYYfYLFasX79+jRGKD1RFPGL536BoCeAwfNTrzD7fmwDA8OzzzxDDXqaGQyG6HLcHgd6Lx++7WOHWy7A1deIbdu2Zc3U3kTU1tYiEopgtHFiT99w/QBEUcS6deskiowAwD333AOtTofBm1OntdubzgA8kvHrPc1HVVUVNmzYgKG6HgSdM8+6cTYPwdM9iieeeELWPZ+UkMzi/vvvB4+EMdR8YcbHeIc64R3uxgP335+TM0cqKyuxevVq2C/2TLjCDDh8GLkxgM2bNmfNegCZpqqqCg8//DBG2i7B1T99AVzQ60T/1W9RU1OD++67L80RykNlZSXMeWY4mn6ays45h7NpCDU1NbJuxHOBSqXCfffeC2dfI4Iex/j9kXAIjrZLWLlyZc4OB2/duhUA0H9u+kX+OOfoP9UBq9WK2tradIaWsNz79kxQUVERampq4Gi7OOOW78MtF6FSqWX/ZqfSww8/jHAghOHr/eP3DdZ1QxAEWrdBYo8++ijy8y3ou3xo2nO479oRgIczYifqVGGMYdXKVXC3jyBWn+0f8iIw6sPKlSulDY4AiNb6gHOMtF8Zv8/V24iQ34N7771XwsikZbFYcNf6uzByfWDaGY/uzlF4B9x4+OGHZT+7kRKSOdi4cSMCnlG4+1un/C4c9GO0qx7r1q2VfNldKVVUVKCsvBwj9QMAAB6OwHFjEKtWrpJsoyYSpVQq8eSTT8A3OoDRSbNu/E47HB1XsXnz5py9woypqalBJBRBZKwWytURvRJftmyZlGGRMRaLBZVVVRjtqh+/z9F1HTq9PmP3CkuWzZs3IxIMY/hG/5TfDV3pHa+TkjtKSOZg1apVUKvVcHRem/I7V+8tRMJBbNiwQYLI5OWu9evh7XfBP+yFu2sUIW8Qd911l9RhEUSnCRYWFmKw4ccJU7Ttt05BIYq0URyARYsWAcD4jAVPlwMmsznrVqjNZGtWr4bP0YeAxwEeicDd14TVq1bJ/so/1crKylBcUgzHjcEJ94f9ITibh7B+/XpZLYA2E0pI5kChUGDlypVw9TSARyITNnYa7boBg9GIqqoqiaOUXqxr29k2DGfrMERRpKmSMiEIArZs2QKfow/e4S4A0d49R+dVrFu3LuvXzZkLnU4Ha4EVDNFNIn39blRVVkodFomzfPlyAIC7vwXe4W6Eg37qwRqzft16eHqdUOVpxjc4dbYOIxKKZMwMR0pI5mjVqlUIBbzwDneNb+zEI2G4B5qxauXKnCxmncxqtcKclwdP1yg8XU5UVlbm9DCW3Kxbtw6iqICjI9rT5+xpQCQUxN133y1xZPJRUV4BcIai+yrhd/hQVlYmdUgkTlFREbQ6HTz2jvEpwIsX334zz1wRuyDUFhnHNzh1tg5Dq9NmzAUzfYvO0dKlS8EYg6uvefw+z1AXwsEAZehxqior4elxwTvoRiVdXcqKRqPB8uXLoj19nMPZ00C9e5MUFRUh4PSNr9paVFQkcUQkHmMMFeXl8I30wDvcjby8/KzcZ2k+CgsLYTQZ4e6M1j5xzuHuGEXN0pqMuWDOjChlQKfToaSkFJ7Bn/a8iN1esmSJVGHJTnFxMYIuP3g4guLiYqnDIZMsW7YMAY8DAfcwPIOtWL5sWcY0VukQW1grthx3Li20lSlKS0vhdw7C7+hDaWmJ1OHIBmMMSxYvgafbCQAIjvoRdPkzqgeJWqIELFpUDe9wF3hkrOjN3glbYSGtURCnoKBg/DY15vITa5wc7ZcR8nvHCzlJVGy9nNgMG1o/R34KCwvBIxH4XUMoLCyUOhxZqaysRNAVTUS8fa7x+zKFZAkJY+xxxthNxlgjY+yPUsWRiIqKCkTCIfiddnDO4Xf0UNHbJPENeC4tP54pbDYbFAolhlsvAQDKy8sljkheYuevb8ANvUGfETMTck18G0MzoCaK1Tx5x7Y8EAQho3qqJdl0hTEmAvh/AGwF0AngLGNsH+c8sa1J0yz2ZvtGeiGqtAj63CgtLZU4KnkpKSnBypUrodFoaGxXhkRRRIGtAL09PQAY9WJNotPpIAgCIpEITCaT1OGQacRf6NAaRxPFap78dg/8dg+sBQUZtbeaVJFuBNDIOW8GAMbYxwCeBSDrhKSgoACiKMLvHIRCG/2yzaTsMx1UKhVeffVVqcMgt3H/li24ePEiysvLqQdgEkEQoDfo4Rx1wmSkhESO4qeo03T1iXQ6HfR6PfwjPgRGfKgszZz6EUC6hKQMQPz2hJ0A7pEoljkTRRFWawG8zkEotNEPAo1hkkxz991301Tf29DrowmJXq+XOhQyDZVKhXXr1sHpclH7Ow2r1Qr78AgCDh+sazJr9WWpEpLpNszgUx7E2BsA3gDkU5hTUGBFc+cAAu48KJUqytDJjOR4/pLZ6bTRInUqVpfvOfyb3/xG6hBkKz8/H53XuxAJRzKuKFuqotZOAPF7nJcDmLJ3Pef8T5zzWs55rVzGui0WCwKeEQTdI8i3WHJ2MzIyOzmev2R2Wq0WQHTdllxH53DmMZvNiATD47cziVQJyVkANYyxRYwxFYCXAOyTKJaE5OXlIRIKwj/aD0s+zSIhJNvELjLUarXEkRCSuPhi7EzrwZckIeGchwC8B+AbAPUAdnHOp+5cJ0OxNzvgHqEqfEKyGG17QDJR/OzGTJvpKNl8IM75AQAHpDr+fFGFNyG5gRISkonia58yrQ6KVmpNUHzlPVXhE5K9Mmn9BkJiYjVQQOYNO1JCkqD4JCTTsk9CyNzRHj8kE8UXY2fapAv6xCUoPvuMAlriZgAAIABJREFUv00IIYRILdN6ReJRQpKg+G5cmhZICCFETjK59okSkgXI5EyUEEJI9snk7SAoIVkASkgIyT5UO0IymSiKUocwb1RGvgBUhU9I9nnwwQcxMjKCRYsWSR0KIQkTBAF5eXmorq6WOpSE0TfqAmRy1xghZHoVFRV47733pA6DkHn74x//mHEzbABKSBaEekgIIYTITaYOO2Zm1DJBCQkhhBCSHJSQzENZWRmAzM1CCSGEELmhS/x5+P3vfw+PxyN1GIQQQkjWoIRkHnQ6HS0bTwghhCQRjTkQQgghRHKUkBBCCCFEcpSQEEIIIURylJAQQgghRHKUkBBCCCFEcpSQEEIIIURylJAQQgghRHKMcy51DHPCGBsA0CZ1HHEKAAxKHYRMye21GeScPy5lAHT+Zhy5vT50Dk8lt/dITuT22szp/M2YhERuGGPnOOe1UschR/TayB+9R7dHr4/80Xs0s0x9bWjIhhBCCCGSo4SEEEIIIZKjhGT+/iR1ADJGr4380Xt0e/T6yB+9RzPLyNeGakgIIYQQIjnqISGEEEKI5CghIYQQQojkKCEhhBBCiOQoISGEEEKI5CghIYQQQojkKCEhhBBCiOQoISGEEEKI5CghIYQQQojkKCEhhBBCiOQoISGEEEKI5CghIYQQQojkKCEhhBBCiOQoISGEEEKI5CghIYQQQojkMiYhYYwdlDoGQuaLzl+S6egcJqmmkDqAudqwYcNjALjUcZCMxKQOgM5fskB0DpNMNqfzN2N6SAghhBCSvSghIYQQQojkKCEhhBBCiOQoISGEEEKI5CghIYQQQojkKCEhhBBCiOQoISGEEEKI5CghmQfOOcLhsNRhEEIIIVmDEpJ52LVrF/7Tf/7PUodBCCE5yefzweVySR0GSTJKSObh/PnzcI6OgnNatJCQbOTxeKQOgdzGX/7yF/zX//p/Sh0GSTJKSBYgEolIHQIhJMnOnTuHf/u3f0Nvb6/UoZAZtLW1wefzSh0GSTJKSBaA6kgIyT7Xr18HAAwMDEgcCSG5hRKSBQiFQlKHQAghhGQFSkgWIBgMSh0CIYQQkhUoIVkA6iEhhBBCkoMSkgWgHhJCCJEOzXTMLpSQLEAgEJA6BEIIyVk0sSC7UEKSoPiMnBISQgiRDg2bZxdKSBIU/wGghISQ7EXrDMkf9ZBkF0pIEhSfhFBCQkj2oi87+aMekuxCCUmC4gtZqaiVkOxFCYn8UUKSXSghSVB8rwglJIRkL0pI5Cl+KI0SkuxCCUmC4j8AlJAQkr0oIZGn+PeFEpLsQglJguKTEPowEJK9KCGRp/h2l9rg7JLShIQx9j8YY/2Msatx91kYY4cZY7fGfuanMoZkox4SQnIDJSTyFP++0Eyo7JLqHpIPADw+6b4/AviWc14D4Nuxf2cM+jAQkhvo8y1P1EOSvVKakHDOjwMYmnT3swD+Onb7rwCeS2UMyRbfSNEVFCHZJ7b4IX2+5YmKWrOXFDUkRZzzHgAY+1koQQzzRnsnzO7bb7/F6dOnpQ6DkHmJfcbpsy5P1EudvRRSB3A7jLE3ALwBAJWVlRJHMxU1WNP75ptvAAD33HOPxJFIS+7nL5keJSQ/keM5HJ+EUEKSXaToIeljjJUAwNjP/pkeyDn/E+e8lnNea7PZ0hbg7TDGpr1NyGRyPH/J7GKJCH3ZyfMcjn9fKGnMLlIkJPsA7By7vRPAFxLEMG+C8NNLRgkJIdmHvuTkLf79oaQxu6R62u9HAH4EsJwx1skYew3AfwGwlTF2C8DWsX9njPiERKGQ9YgXIWQeqIdE3qiHJHul9BuVc/7rGX71aCqPm0rxSYgoihJGQgghuY0SkuxCK7UmKD4hoR6SqaiBIISkErUx2YsSkgTFJyFKpVLCSOSJ1m4ghKQLJSfZhRKSBKlUqvHblJBMRcvpE0IImQ9KSBIUn4RQQjIVrZxICCFkPighSVB8D0n8bRIV30NC3amEEELmihKSBMX3ilBCMhVtfEUIIWQ+KCFJUPw6JJSQTEUJCSGEkPmghGQBqIZkKkpICCGEzAclJAtACclU8dN+KSEhhCQb7SeWvSghWQBKSKaircEJIelCCUl2oYRkASghmYq2BieZLvYlR1928kQbnGYvSkgWgJaOnyp+qi9N+yWZjL7s5ImGbLIXJSQLQAnJVLQTJ8l01EMib/HvS3xvCcl89G4uAO32S0j2iX3J0ZedPNGQTfaiT9wC0IdhKnpNSKajHhJ5ox6S7EXvJkmq+AaCGguSySghkaf4nml6j7ILfWOQpKKrF5It6PyVp/j3hYbNswt94khS0fguyXSx85YSEnmiXtjsRe8mSar4Kxa6eiGZjL7s5Il6SLIXfeJIUtHVC8kW1MMnT9QLm73oG4MkFV29kEwXWz+Hzl95ojq17EXvJkkqunohmY6m/cobtTHZixISklS0rDPJFnT+yhO1MdmLEhKSVNSdSgghZD7oG4MQQkjGoF6R7CVZQsIY+58YY9cYY1cZYx8xxjRSxUKSJ35DvfiN9gghJBlo087sJUlCwhgrA/AfANRyzlcDEAG8JEUsJLniGwtqOAghyUY7imcvKYdsFAC0jDEFAB2AbgljIUkS31hQDwnJZHT+yhO1MdlLkoSEc94F4L8BaAfQA8DBOT8kRSwkucLh8LS3Cck0dPUtT9TGZC+phmzyATwLYBGAUgB6xtj2aR73BmPsHGPs3MDAQLrDJPMQCoXGb+d6Y0Hnb2bL9fMXkOc5TAlJ9pJqyOZnAFo45wOc8yCAzwFsmvwgzvmfOOe1nPNam82W9iBJ4uIbiPjkJBfR+ZvZaDhAnucwtTHZS6qEpB3AvYwxHYvO4XoUQL1EsZAkCgaD094mJNPQl508xbcr9B5lF6lqSE4D2A3gAoArY3H8SYpYSHJRY0EyXaxnhHpI5IkuerKXZLNsOOf/yjlfwTlfzTnfwTn3SxXLfFHR21TxDUQgEJAwEjKTQCCA/fv3Y3BwUOpQZCk2JEAJtTxRG5O9aKXWBaCCqqno6kX+WlpacOzYMRw+fFjqUGQplojQ51ue4pMQSkiyCyUkC0BXUFNRYyF/sS9aj8cjcSTyFPtc0+dbnqiNyV6UkCwA9QBMFd9A0OsjT/RFe3tBSkhkze/3T3ubZD5KSBaAsvOp6OpF/ihRvL1QKPr60OskT+NJCGOUkGQZSkgWwOfzSR2C7ASDQQiK6GlFCYk8xd4XKsqeXjBINSRyFmt3VVoTtcEz+Pbbb3H58mWpw0gYJSQJim/E6cMwVSAQgEKrGr9N5Cf2vtA27tOL9ZDQ+StPPp8PgkIJUa2jNnganHN88803+Pvf/y51KAmjhCRB8Y2U1+uVMBJ58vv9EFQCBKVI3akyFWvEqYdkeoEADdnImdfrhajUQFCoqQ2eRib37FFCkqD4mQk0S2GqQCAAQSlCVIl0hSlTsUSRri6nFwxGz1s/nb+y5PV6Iaq0EFVaeDyUkEyWye0uJSQJcrvd094mUT6fj3pIZC6WiPh89P5MFgqFEAlHV2gNBOj1kSO32w1BqYGo1MBNF4VTUEKSQyghuT2f3wdBKUJQiXQFLlOx98Xro6vLyWhKqfy53R6IKh1ElRZej4eGHifJ5POWEpIEOZ3O8dsul0vCSOTJ7/dDVCsgqISM/mBks9i4u89LCeNksXNWUInwUw+SLLk9bihUWohqHTiPUB3JJPHtbqYla5SQJCiWkKhNtgnJCYmKDtmIEFQKugKXqdi4ezAYyOgCuFSI9R4pjWoEAgHaYE9mIpEIPG4PRLUOCrUeAPVUTxbfM51phdmUkCTI6XRCUCih0ufDMUoJSbxIJDLWQyJCVNOQjVzFX1HSezTR+BoXRvWEfxN58Hq94DwChVoPhVoHgBKSyeI/35nWe0QJSYKcTieUGiMUGgP1kEzi9/sBDggqBUSVAl4aEpAlr88LQRn9ws20BivVYq+H0kQJiRzFhskVaj3EsR4SaocnooQkh4w6nRDVeig0Bng9btrvIk6s8RbVCghqEQG/n7q8ZYZzjoDfD6XWDIC+cCeLNeAqswYATe2Xm1jyET9kQwnJRJncA0oJSYKco04oNAYoNAYAVNgaL/ZBiA7ZKMA5p8JWmQkGg+CcQ6kzAci8BivVJick9PrISyz5UGqM4wkJtcETxZ+z1EOS5ZzOsYSEsvMpYleTokYBUaMAkHkfiGw3XrSpMQLI7CmCqRA7h1VjQzbUQyIvsfZWodGDCQKUGj21wZPEJySZllBTQpKAYDAIv98XLajSUHY+2XgPiUYJxVhCQg26vMQSkFgPHyUkE3m9Xig0Sii0SgB0/sqN0+kEE0QIymgPlqg2YHR0VOKo5MXv94OJ0X2qKCHJYrFq7vjxS0pIfhJ7fRQaBUQNNehyRAnJ7Xk8HohqBUQt9fDJUXRSgWF8Y0iFWo9Rmu04gd/vh1If7eHLtFVbKSFJwIQKbxVNOZtsfMhG+1ODTq+PvMTWJYgl1JnWYKWa1+uFqBEhKEQwUaCERGZGR0chjg03AtHEetRJPSTxgsHgePubaZ9vSkgSMP6Fq9JCUKjABJF6AOK4XK7osvEKcbzLmxISeYk1ULEhx0xrsFLN7XFDUEcbc4VGSeevzDgco+O9ewCg0BrhcrpoNl+cQDAIQSmACSzjZoFSQpKAWPKhUOnAGINCraUGK47L5YJSpwIQLWxljFHBmcyML40+llBn2kqOqeZ2e8avLkWNSD0kMjM66oBS+1MPiVJjBOcRGjqPEwoGwUQBgihQQpLNfuohGSuoUmqpwYrjdDoh6qKNOWMMSr2KEhKZifWICAoVRIWKakgm8Xo94zPERI2CLjhkxO/3w+/3T+khAQCHwyFVWLITCocgiAKYQsi4rSEoIUlALPkQVNroT9r+eoIRxwgUBtX4v0W9khoKmRlPSEQVBIWKhmzihMNh+Lw+KMYKskWNAm4PJSRyEWtLlFrT+H2x29TO/CQcDgMiAxOohySrud1uiAoVBEEEEK0loRqSKM45HCOO8T1AgOgGZcMjwxJGRSaLTQMUlGoISnXGTQtMpfFp62P1T6KWakjkZGRkBADGF/UDKCGZTig01kMiUg1JVvN6vRDHekeAsYTETQkJEK0fCYVC43uAANHFpUZGRjJuC+xs5vP5wAQxupaDghKSeOOz6MZqSBRaJTweDxVMysRPCYl5/D5RrYMgKjA8TBc+McFgEExkVEOSCMZYHmNsN2PsBmOsnjF2n1SxzJXL5ZqYkKh18Hjc9IULYHBwEACgNv/0+qjMGoSCIVq4SEY8Hg8UKi0YYxBpyHGC8YREpxz/ySOc6sRkYmhoKFqbFjftlzEGpc5MCUmcQCAAQSmCKYWMqxGTsofk/wZwkHO+AsBaAPUSxjInLpd7fP0RILqWQzgcpqtMAAMDAwAAVb5m/D51fjQ56e/vlyQmMpXb7R5PqkW1jmYnxIklzgq9asJPSqjlYWhoCCqdGWxsyDxGqcvDoN0uUVTyEg6HEfAHxrbvEOHxZtYFhyQJCWPMBOABAH8BAM55gHM+IkUsiRh1TpoDT/vZjOvr64OgEKAyxSUkVt3474g8jDqdEMfOYYVaD7fLTUMSY8aLJscKs2M/qT5BHgYHB6HQ50+5X6XPh33QTj3VmNjLp9Bl3ixHqXpIFgMYAPA+Y+wiY+zPjDG9RLHMSSQSgcvpGp9mBmB8Pjw1WEBXdxc0Vh2YwMbvU+iUUOpU6O7uljAyEm9kxDHe5a3UmmgNhzgjIyNQaJTo+6Ed3Uebxwu0aThAepxzDA4OQqW3AAB6Lh1Cz6VDAACVwYJAwE/nMX46V5VGNZRGNUYdoxk19VeqhEQB4C4A/y/nfD0AN4A/Tn4QY+wNxtg5xti52JCAVBwOBziPTCioit2OFVvlqkgkgq6uLmgKDRPuZ4xBXahHR0eHRJFJS07nLxCtvnc5R8fP29jPoaEhKcOSDbvdDqVJDd+AG74BNxR6FZgo5PTrI5dz2OVywefzQW20AgB8jl74HL0AMH4fDQ3/9Bqo87VQ52sRiURgz6DhLKkSkk4AnZzz02P/3o1ogjIB5/xPnPNaznmtzWZLa4CTxd5UVVyXoVJrBmNCRr3hqdDX1we/zw9diXHK73TFBvT19+VkYaCczl8geg5zzqEyRK8yYz9jBcm5bmBwAKq8n4YcmcCgNmty+vWRyzkcG/ZVmwqm/E5tsk14TC7r7OyEqFJAZdZAY9OP35cpJElIOOe9ADoYY8vH7noUwHUpYpmr8cxzLBsHACYIUBnyc/6D0NLSAgDQl5mm/E5fZgI40NramuaoyGSTz2GVPg9MEOjKEtGZCcPDw1BbtBPuV1m06O3tlSgqEtPT0wMA0JgKp/xOoTFCVGnGH5PLGpuaoC2J7oasseogqhVobm6WOqw5k3KWzR8AfMgYuwxgHYD/JGEss+rr64OoVEOhmdgLoDLa0Nub2wnJrVu3oDJpJqxBEqMrMUIQBTQ2NkoQGYkXa7DVxuhVJhNEqI0F1JBj7OqaAxqrbsL9GqsO9iE7rWgrse7ubig1+gmTCmIYY1CbCnO+Vs1ut2NwYADGqmgvPhMY9BVm1N+oz5jC9TknJIyxuxhj/4Ex9gfG2JThlURxzuvGugLv5Jw/xzmXdeVYZ1cX1OYiMMYm3K8xF8Fut+fs1N9wOIzGxkboK81TXhsAEBQidGVG3Lh5U4LoSLzu7m6ojVYIip+W91ebi9DZ1ZXzMxS6uroAANpJdVAamx7goKRNYtH2t3jG32vyitHT05NRBZzJdunSJQCAaall/D7zUiuco87xXmy5m1NCwhj7PwD8FYAVQAGis2P+91QGJiehUAg93d3Q5pUAmFjhrc0vAcDHG7Rc09LSAr/fD2N1NCvvPtqM7qMTuwiN1RYM9PfnfK2NlDjnaG/vgGbsHI7R5pfC7XLl/Eyxzs5OKDSKKb18uqJogpKrhdlyEAgE0N/XN+XcjafNK0EoFMrZ4fNIJIIzZ89AX2aasPSCaYkFolLEuXPnJIxu7ubaQ/JrAHdzzv+Vc/6vAO4F8HLqwpKX7u5uhEIhaK3lACZWeGstZQCAtrY2yeKT0rVr1yCIAgyVeQAwPkMhnnFx/vhjiTSGh4fhcjmhtZRPuF+XHz1/29vbpQhLNlrbWqEpNk7p5VMYVFAZ1Dn/+kipa6wHTzfW1k4n1g7nauJ469YtDNmHkL+6aML9glKEeYUNdZfqMmJfprkmJK0ANHH/VgNoSno0MhXr7tJNaswBQKHSQmMqyKjCoWThnOPK1avQV5khqsQZH6fO00JToMfVq1fTGB2JFysq1lknnsOavCIIoiJjunRTwev1or+vf9pZYowxaEsMaGnN3ddHarGLPW1+6YyPUenzoVBrc/bC8Pjx41DqVTAvmzoLybquBOFQGD/++KMEkSVmrgmJH8A1xtgHjLH3AVwF4GKM/XfG2H9PXXjycOvWLaiN1vGF0CbTFVSjpaUl4zYyWqiOjg6MOhwwL536IZjMtNSC1rZWWoZbIq2trRCVKmjME2cpMEGENr8MLS2t0gQmA7FkTV86dZYYAOhKTXCMOGiBNIm0tbVBbbBAoZl57UzGGDT55WjNwYSkq6sLt27dgmVtCQRx6le6xqqDcVE+Tp48Kfvi7LkmJHsA/K8AvgNwFMD/BuBrAOfH/staoVAILS2t0NsWzfgYva0awWAw57LzK1eugAkMpsWWWR9rrikAOKiXRCLNzS3QWirA2NSPvK6gAj093TlbmN3S0gImMOhKps7gAH6azp7LvUhS4ZyjtbUNmtsM18TorOUYHBjIiKGJZPruu+8gqkRY75y56NdWWwaPx4OzZ8+mMbLEzSkh4Zz/9Xb/pTpIKbW0tCAYDMBQtHjGx+gLq8GYgIaGhjRGJi3OOa5cuQJ9hRmiRjHr49WW6MqBV65cSUN0JJ7b7UZ/fx901oppf6+zVoJznnMJdUxTcxO0xUYIiumHHTUFeojq3B7Wksrg4CDcbteM52682GNy6Ty22+24cuUK8tcU37Yd1peZoSsx4dixY7KeiXTbhIQxtmvs5xXG2OXJ/6UnRGnduHEDTBChs1XP+BhRqYHWWo7r9bLfsDhp+vr6MDQ0BNMS6+wPRrRL1bTUiuaWZnhoy/u0ijXQMzXqWksZwFhOLl4XCATQ1dk17aJ+MUxg0JUa0dScM2VzsjE+nGatnPWx2vxSMEHMqcTx5MmTAAMK1s88AynGVluKkZERWfdSz9ZD8h/HftYD2Bb33zMAbqQwLlngnOPatevQ26ohxq3dMB1jyTL09fbmzL4X9WPJl2nx1N03Z2JclA8e4bhJa5KkVXt7OxgTZiwKFJVqaM1FOXVlGdPe3o5IJDJj/UiMvtSEwYFB2sAtzVpaWqBQa6Eyzn7hI4gKaPNLciYh8fl8OHv2LMzLCqA0/DRdfbqlFwDAuMgCtVmL77//Pp1hJuS2CQnnPLYa0FLOeVvcf60AVqQ8OolFewHsMJYsm/WxscfkytTWmzdvQmvTT/ggzEZXbIRCo8StW7dSGBmZrL29HRpzIQSFEsDEdXRiNPml6OjoyJgVHZNlfAZd6fQF6zG6sR6UXOxFklJzS6z2aeqii9PRWivQ2dkl++LNZLh8+TICgQAsk2pHplt6AYj29OWvKURra6tst4uYbcjmbcbYFQDLJw3XtADI+iGbWL2DsXT5LI8E1AYLNObCnKiRiBXw6ivMsz84DhMYdBUmNFBCkjacc3R2dk5YVCp+HZ0YbX4J/H5/zi1e19bWBo01WiNyO9pCA5jAaD2SNHI6nRiy26ErmH24JkZvrUQkEs6J9Ujq6uqgztNOO119Jnl3FAIs+rdyNNuQzT8QHaLZh4lDNhs459tTHJukOOeou3QJuoIKKKfZP2E6xtI70NralvWrXnZ2diIcDt923H0m+lITRh0OjIyMpCAyMtnw8DB8Ph80eTNX4AOAZmxZ7lzaD4RzjvaOdmhnmF0TT1AI0NoMOTmsJZXx3qs5FLTGxB6b7etCeb1eNDU3wbTUMufeIwBQ6lXQl5pw7bo8e/JnG7JxcM5bOee/njRkk/WFEj09PRjo74e5fPWc/8ZcsQoAl232mSyxq49EMvOY2N/kwhWMHMR2qp28/shkapMNYCyndra12+3weX3jy8PPRlOsR2dXZ84Na0mlubkZgkIJ7SzJdDxRpYHGXJT1dSTNzc3gEQ5D9dxr+GIMVXno6e6R5fRoKXf7lbXz58+DCQJMZXfM+W/UBgu0+aU4f/5CVm9W1tPTA6VeBYXu9oW+09FYdQCjzcrSJTZWrDbabvs4QVRAbcjPqb1AOjs7AQDaOSYkuiIjgoEgBgYGUhkWGdPU1AytpRxMmHkV6OnoCirR1taW1QtVtre3R4fAi+d27saLFXDLcfiREpJphEIhnD9/AcaS5VCodbP/QZy8qrXo7e0Zb+yyUV9fH9RW7bz+VlCKUJu1OfXFJ6X+/n4oNQaIKs2sj1UZCtDfnztftl1dXWCiEE2S50BbqB//O5JaLpcLfX290N9muYWZ6AuqEAwGs7oXtru7G2qLbsa1c25HM3Yey3F4lhKSaVy5cgUejxt5VesS/ltzxSoIojIj9g2YD845BgYHoMqbX0ICAKo8DQYGc+eLT0oDA4NQGmZfSRcAVAYL7HZ7zgxJdHR2QFOgA5tmue3pqC06CEoxqy825KKxsREA5pWQ6GxVAGNZPZuvr79/3heFokoBlVEty54+SkimceLESagNltuuzjoTUamBuXINLl6sy8o1C7xeL/w+P1R5s19xz0SVp8HQ0FBWD2vJxcDgANSGuS1epzZYEQ6HcqLgOBKJoKuza87DNUB0lpjGps/qK2+5uHnzJhQqLbT5sy/4NZlCpYUuvzRr1zsKhUJwjIxAvYA2WGmW50UhJSSTNDc3o7OzA5YlGxOqXo5nXbIR4XBI1gvQzFdsWqjKtICExKRGwB+gFVtTzOPxwON2QzXXHhJj9HFyvHJKtoGBAfj9/oQSEiBab9LV1ZXV9QlSi0QiqL9xA7rCRdPuvTQX+qIl6OjohNPpTHJ00hsZGQHnfGFtsFmNIbv85qZQQjLJ4X/+E0qNHnnVa+f9HGpTAYylK3Dy5El4vd4kRie9WEKykOw8NtyTa2tepFsssVDPYZVLAOM9KXJdNCmZZtvhdyb6UiNCoZAsx9+zRWtrKzxuN0yl8197M/q3PCsXqhy/KDQvJCHRwu12w+/3JyuspKCEJE5jYyOaGhthqbkPgqhc0HPZVmyB3+/HsWPHkhSdPAwODgJY4IdhLJnJhStxKcWm8KqNBXN6vKjWQ6HKjYLjxsZGKHWqhIcedWMJTKzGgSRfXV0dBFEBQ/HSeT+H2mSD2mjJyiUYYu2mKn/+dXzqfHm2wZSQjIlEIvjqq/1Q6cywLK5d8PNp84phrliF48ePZ9WYfG9vL9RmDQRl4tXdMWqzBkwUcmrNCyn09vZCUCih1M9trQLGGFQmW9ZPyY5EIrh16xb0VeaEh2WVehW0Nj1uNmRnfYLUgsEg6urqYCxdMev+YbfDGIO54k40Nzdn3f5i3d3dUGiVUOjmf9GsKYjOtJHbZ50SkjFnz55Fd3cXbCsfgiDefhnpuSpc+TDCEY79+/cn5fnkoL2jHWqbfkHPEZtqScWBqdXV1Q2NqSihL12NuRi9vb1ZPdOmpaUFHo8HxkVzq62ZzLAoH60trVlZtC61uro6+Hw+5FXNf8g8Jq9yDcAYTp06lYTI5KO1rQ2aIsO8axyBaC+1qFbIbm8mSkgAuN1uHPj6a+isFTBXzH1l1tmo9HkoWLYJly5dyoopaCMjIxgZHpnXkvGT6UqNaO9op+LAFIlEIujq6pp1yfjJtPnFCAaDWV1HUldXB0EpwrQo8VUuAcBcUwDOOS5fzvrtvNKKc44TJ05CY7LNa7rvZEqdGabSFTh16pTsaiXma2RkBIMDAzCUL6wNZoxBX2aIV5b5AAAgAElEQVRCw60GWc12pIQEwJdffgmf14eSdU8sKOucTsHyTVAb8rH7s88yfgfK69evAwAMlXkLfi5DVR5CwVBWJGpy1Nvbi2AwAK2lLKG/01rKASBr92zx+Xy4WHcRpiWWeQ87agp00Nr0OHXqlKwa80xXX1+P3t4eWJbek7R22FpzD3w+X9asC3X16lUAgGnx/Hr34hkXW+AYcchqXZ2cT0jq6+tx4cIFFCzfNOt+H/MhiEqUrH8Kw0NDOHjwYNKfP53qLtVBna+d88qWt2OoyIOoEnHp0qUkREYmi3XF6qzlCf2dSp8PhVonu67cZDl//jwC/gCsaxNf3yKGMQbLndGhrWzfxC1dIpEIDh06DJU+PzrUkiQ6SzkMhYtx9OixjO8l4ZzjzJkz0BYaoLYsvA02L7VCEAWcO3cuCdElR04nJG63G59+uhsakw0FK+5P2XH0tmrkL96Akye/R1NTU8qOk0q9vb1obWlF/qrkJG2CQoB5uQ2XL1+W5SZPma6lpQVKrRFKXWK9WYwxaC0VaG7Ovs3JQqEQvjv6HXQlJmjnsQdIvLwVNih1Kvzz22+TFF1uq6uri9bw3XF/wnvXzMa28kF4PG4cPXo0qc+bbo2Njejt7YVlTVFSnk/UKGBaVoBz587Jpg2WNCFhjImMsYuMsa/SfWzOOXZ/9hncHg/Kap+DkOQPwWTFqx+F2pCPjz/+JCPXJjl27BgEhYD8lcn5MACAdW0xQqHsXEBOSpxzNDU1Q2etnFfXt95WieHhoayaHQYAp06dwqhjFEX3VSx4SEBQirDWlqKpsTFjLzLkIhAI4MCBr6HNL4G5Inm9IzE6SxnM5atw7NgxDA8PJ/3504FzjkOHD0GpVyHvjuT15NtqyxAMBmWzPIXUPST/EUC9FAc+e/Ysrl29isKVD0GTl7wv2ZkIChVKa5/F6KgDn3/+eUaNPff39+PChQuw3Fm8oKlmk2kK9DAtteL4ieOyydCzwcDAAFwuZ3RPj3nQF1QDQFZ90brdbhw6fAiGCjP0FeakPKf1zmKojGp8se+LrJ6VlGqHDx/G6KgDRWu2Jr2GL6Zw9SOIcIY9e/dmVNsbc/XqVbS1tqHw3goIiuR9bWusOuTdYcPJkydlMT1asoSEMVYO4CkAf073sfv7+/HFF19Ab6uGtebetB1XZymD7Y4HcenSJZw/fz5tx10Izjn27t0LQSXCVptYgeRcFN1XiWAgiAMHDiT9uXNVLJGY70wFtbkQCpU2qxKSAwcOwO/zo+ShxUn70hMUIorvr0ZvT2/WFE2mW3d3N44fP4G8qnXQF1Sm7DgqnRm2Ox7Ajfr68cLQTOH1erH3iy+gtemRvyr5F8/Fm6rAGceePXskT9ak7CH5vwD8zwDSemkRCoXw4Yf/AGcKlNU+k7KMfCYFyzdBX1CJPXv2ym6VvOlcvHgRjY2NKNpUCYVu/gsVzURj1cF6VwnOnj1LBYJJ0tjYCKXWBNUcF0SbjDEGbUEVbt1qlLyBSobGxkacPXsW1rtKk1KQHc9UY4WxKh8Hvj6QscMBUgmHw/hk1y6IKi2KVj+S8uNZl26EJq8In+/Zk1E9svv27YPTOYrSR5eACcn/vlIa1SjcVImbN2/izJkzSX/+REiSkDDGngbQzzm/bTcBY+wNxtg5xti5ZH15f/311+jp6UbJXdug1C58PY1EMSagrPY5cCbiww//Iet1OEZGRrBn7x7oSoywrElsPYtEFN5TCbVZg48/+Rg+ny9lx0m3VJy/s4lEImhsaoLOVrWgZNtgq4bDMSKLbtyF8Pl8+PTTT6HO06LovoqkPz9jDKWPLkGER7Br166sG7pJ5Tl89OhR9HR3o2TdE1Cok5soTocJIkrv2gaP24N9+/al/HjJcPHiRZw/fx62u8uhKzam7DjWdSUwVJixb98+SbeOkKqHZDOAZxhjrQA+BvAIY+zvkx/EOf8T57yWc15rs9kWfNCGhgacOHEClsW1MJUuW/DzzZdSZ0LJXU+ju7sLhw4dkiyO2wmHw/jHR/9AMBxC+WM1KcnMY0SViLLHajAyMpJx9TW3k+zzdy56e3vh9XhgsC1a0PPoC6sBZP6eLXv37sXwyDDKfr4UgiI1hesqkxrFD1ajqakJJ06cSMkxpJKqc7i7uxuHD/8TpvKVMJXNfxO9RGnzilGwfDMuXrwo+6Gb3t5e7P5sN3SlJhTdm7rhLCCaWJc/VgOuAP76t79JdmEoSULCOf9fOOflnPNqAC8BOMI5357KY7rdbnz88SfQmApQtObRVB5qTkyly5FfvR5Hjx6TZaP/9ddfo7WlFWWPLoE6b/6bOM2VvtSEovsqUVdXR+PxCxBbaC6WUMyXymCFUmvM6IXr6urqcOHCBRRuLE94V99E5a8qgmmJBQcPHpTVQlNyFAqF8PHHn0BUaVGy9vGE/77n0iH4RvrgG+lDy/G/oedSYhd1thVboM0rxu7PPpPt8v9utxvvf/A+oGSofHJZSi8IY5QGNSqeXAb74CA++ugjSXr7pJ5lkzZ79uyB2+NGWe0vFrST70I/DPGK79wKtSEfn+zaJauhirq6Ohw/fhyWO4uRtyI9V/YAYLu7HMZF+di3bx9aWrJvHYx0aGhogNpoXfBwJGMMetsi3Lp1KyOHIex2e/TqssSEwnvmfnXZfbQZ3gE3vANuNH96Bd1H51bXxBhD2c+WQtAq8OGHH8rq8yw3hw8fRm9vD0rWPzWvoRqfoxeRkB+RkB+ewXb4HIlt0skEEaW1z8Lr9eEzGfbIBoNBfPDXD+AYdaDy6RVQGtRpO7ahIg8lDy1CfX09vvoq7atxSJ+QcM6Pcs6fTuUx6urqcPnyZdjueHDBU3wX+mGIJyhUKN3wDBwOB7788ssFxZUsnZ2d2PXpLuhLTSh5cGHd/olijKHisWVQmtT469/+SkWCCQoEAmhuboG+cElSnk9ftBherzfjrvhDoRD+/uGHCCOCiicSG270DbgRCYQRCYTh7hqFb2DuxY8KrRLlj9fAPmTH3r175xN61mtvb8fRo0eRV7UWxpIayeLQmGwoXPkQrl29iosXL0oWx2SRSAQfffQR2lrbUPbzGuhKUlc3MhPr2hJY15fg5MmTaV+fRPKEJNU8Hk90ylR+KQpq7pM6nCl01nJYa+7F2bNnJZ9mOTo6ivc/+ACCRkTFU8shiOk/PUSNApXPrIA/GMD777+f8cs9p1NTUxPC4RCMxclJSAyFiwHGUF8vyVJB83bo0CF0dXai7GdLoDJp0npsQ7kZhRsrcOHCBVy4cCGtx5a7UCiEXbt2QaExovjOrVKHA2vNPdBayvDFF1/A6XRKHQ44j069vXr1KkoeqEbesgLJYim5fxHMNVbs378/rUtUZH1Csn//fng9HpSufwpMkOf/buGKB6DSRzfgk2rWTayb0O11o/KZO6DUJz7Fd77d3ZNpLDpUPLkMvX29ko1lZqJr165BVKqgK5jfgmiTKdQ66CzluHbtelKeLx2amppw9NhRWFYXwVwjTYNeeE8F9KUm7Nmzh3r54hw5cgT9/f0oWf8kRGV6E8XpMCag7K5t8PkD+OKLL6QOB9988w1Onz4NW20ZCu5K/ppPiWACQ/ljy2CoMGPXp7tw7dq1tBxXnt/QSdLZ2YmzZ8/BsmRjWlZjnS9BoUTx2sdhHxzEDz/8kPbjc86xe/dudHZ0ovyxGmht+nk9z0K6uyczVuej5IFFuH79umxnIslJOBzGlatXYSiqgSAqkva8prIV6O3tQX9/f9KeM1V8Ph8+/uQTqM3atA83xos25jUIRUL4ZNcnlFAjunrwd999B3P5KhiLl0odzji1qQAFyzfj8uXLaGhokCyOY8eO4ciRI7CsLkLR5vlfUCTrohCI7jdWuW0FtIUG/P3Dv6dl8kVWJyRffbUfCrUWthRunJcsxuIlMBQtweHD/4TH40nrsY8fP46LFy+i6L5KmJda03rs27GuK0H+qkIcOXIEly9fljocWbt58ya8Hg/MFauS+rymspUAY7IaZ5/JN998A8fISHSKrzK1e1PNRmXWoPjBajQ3NctqN1WpfPnll4CgQNGan0kdyhQFyzZBbbBgz969CIfDaT/+6dOnsX//fpiXFaD0kSULWj8omReFACCqFKh67g4ozWp88MEH6OjoWNDzzSZrE5Lm5mY0NzehYPlmiCrpuwfnomj1o/D7fTh58mTajtnY2IgDBw7AtNQK28bEtqpPNcYYSh9eAl2xEZ/s+kTSBXvk7vTp01Co9TAUJad+JEapNcJQuBhnzp6VpLGeq+7ubvzwww+w3Fmc8im+c5W/qgj6MhP279+fUSuDJltjYyNu3LiBguWbodSmv0hzNoKoQOHqn8E+OJj2lUqvXLmCzz//HMbq/JSv9zRfCo0S1b9YCWgF/Pkvf05pb2nWJiRHjhyBQq1HfvVdUocyZxpzIYwly3Hy5Mm0FHO6XC7846N/QJ2vRfnPl6Z9Gf25EBQCKp9eDigY/v3v/45AICB1SLJjt9tRX38DedXrZt26fT7T1vMXbYBzdDRt48jz8fXXX0NUK1C8KTn1M8kQTaijM5XksptqunHOcfDgQSi1JliW3C11ODMyltRAV1CBw4f/iWAwmJZjtra24h8f/QPaIgMqJZpEMFdKgxrVv1iJEML4//7855QVAcv3FVgAu92OhoYG5C/eAEGRvN1p06Fg2b3w+Xyoq6tL6XE45/jkk0/g8XpQ8eQyiKrk1R0km9KgRtljS9Hf1y/J3Hi5O378OJggwLK4dtbHzmfaurFkKdQGC7777qjs1mwAolNJb968iYINpRA18jqPNQV6mJcX4Psfvs/JXpLW1la0t7ejYNmmBa3/lGqMMdhWPACXy5mW2VFDQ0N4/4P3oTCoUPXsHZIPMc6FOk+LymdXwOl24v0P3k9J4paVCcnZs2cBxpBftU7qUBKmtZRDY7KlvOvw3LlzuHnzJoq2VENTML8i1nQyVuWj4K5SnDp1SpYr20pleHgYZ86cQV7lnSnrDmdMgHXZfejq6pTlFOBTp05BVImwrE3dfksLUXh3OYKBYE5OAz5+/DgUah3yqtdKHcqs9LZqaPNLcPz4iZQm3oFAAO9/8D4C4SCqnrsDCq18E7XJdEVGlD9Wg86OzpRs85GVCcnlK1egL6iCUiePseREMMZgqliNjo4OOByOlBzD5XLhyy+/hL7MBKtMG/HpFG2qhDpPi093f5q2blW5O3jwICIcKFixJaXHyau8E2qDBQcOHJBVLUkgEMDly5dhqrHKtpdPU6CHtsiAc+dzq7jV5XKhvr4e5so7Zd07EsMYQ/6iuzAw0I/29vaUHWffvn3o6+1DxRPL0rItR7KZl1pReE8Fzp8/n/Q1SrIuIRkcHMTgwACMJdJtnrdQsdhTdTV66NAh+P3+6HbWMqwbmYmgEFH6yGIMDw3j+++/lzocybW2tuLixYuwLr0HKp05pcdigojCVY+gv79fVnsNtbe3IxAIwCSj2WHTMS21oqe7J6eGbS5duoRIJIK8Kvn3jsSYylZCEJUp682qr6/HmTNnYKstg7E6PyXHSIfCeyqgLzdj7xd7MTIykrTnzbqEJLYHiqFwscSRzJ/aWAClxpCS/VwGBwdx+vRpWO4shsaS+i2/k81QmQfjonx8++238Hq9UocjmVAohN27d0OlM6e8dyTGWLochqIl+Prrg7JZ8Ct2JasvkXdvqL40OpzW1tYmcSTpc+3aNWiMBdCY0rcf1kKJSjX0RYtx7dr1pA9HBINBfL7nc2isOhTel9rde1ONCQzlW5ciFAkndVG5rEtI2traIKo0UBlTc8UUDvqhUqmwZcsWqFQqhIPJnw3DGIPWUo7W1uQ3XkeOHAETmeym+Cai6L5K+P3+tE6PlptvvvkG/f39KF73BERF4qvqzgdjDCXrnkCEA598Io8Fv+x2O5R6ddKKWcP+0MTPtz85Kyerx5L/oaGhpDyf3Pl8PjQ3N8OQgp7qVLfBxpJlGB11oKenJ6nP+/3338Mx4kDJQ4tkPaNmrlRmDWy1Zbh27RpaW1uT8pyZ/6pM0tPbC42pKGVDEZGgDxs3bsQzzzyDjRs3IhJMza6emrwiDA8PJXX6r8vlwoWLF/D/t/fmUVJV2YL3b0dk5DzPmWRCMsloAiaIoCWgiOCEIoPMiMoklpZVq79v9epeXf316vd6eq/f637f1931XllWOZQWKJYj4gAqIgIq85jkPM9zRkZGxPn+iEhMMYEkY7gRkee3Vqy8ee+Nc/e999wT++69z96JU9KHlBo+UIhKjyVudBKHDh0yLNW+kVy4cIEvvviCpNG3+T3rZXhMIhn5iygqKmL//v1+PfZAdHR0EBbtvdgRh83xk+fbYfNOvIw5MgwxSUDUTPEHJSUlOJ1OYtK9nzHX12NwbJpLZm/WFrPb7Xz51ZfEjkwkNjfRa+0aTept2YRFWdh/4IBX2gsphUQpRV1tHeHxvqthYbJEcuTIEd59912OHDmCyUc1GSLiXGZObyahOXr0KE6Hk5RpWV5r0yhSpmXR2dnJ6dOnjRbFrzQ1NfH6n/9MZEK6YQXKEkdNIyF3Cvv27TM03Ta4UuZ7s0aVOdz8k+fbHO6d6ZgigpgkIKxK/qCoqAgxmYhO9r4l1tdjsCU6nojYZK8qJGfPnqWjvYPU27K91mYgYLKYSbo1g3PnznolliSkFJLu7m56eqyExyT77BhmSwQ2m42DBw9is9kwWyJ8cpzwWFfAk7d89Uopjn13jJjs+KCMHbma2FGJhMdF+LUSpdFYrVZefvmP2OxOcmYvN2zmgoiQNeNBIuLTePW11wytc2M2m1Fe/JE3R4T99PmO8I71RSmFcijM5sDPN+ENiotLiEzM8kkeKH+MwX0uc2/FkZw4cQJLTDixI0PHOtJH0uR0UK6ss54SUgpJn3/W1zMO/IEl2tVxveVzrq6upr6unoSJwRNgdj1EhIQJqVy8dJGOjg6jxfE5DoeDV199ldraGnJmPUZErO+U7sFgDgsn944V2J3CSy/9wbB7EB0djcMa+G47Z48DpRRRUcE3zfNmsdvtVFRUEJ2Sa7QoQyY6JZeurk7q6+s9bsvpdHLp0iVi8xJ9nhreVzFQ1yMiMYqIpCivWEtDSiHpMxkFY/6RqzFbIjBbIrw2per06dMg+LR4nr8fhoRbUlFOFZDJuryJ0+lk165dXLx4kazpD3i9Xs1QCY9JInfOSlpaW/mX3/8eq9U38VTXIy4ujt5OW0BmkO1Pb5er5EFcXODVcvE2FRUVOBz24FZIUl2ye2NWVH19PVar1S81lnwVA3UjorPjKCsr8/g5DCmFpC+RWFhU8CskAJaoeK8lRztz5gwx2fGERfvOzO/vhyEyLYbwuIiArrHiKUop3n33Xb7//nvSJ88jafQMo0X6CdHJOeTc/jjVVVW8/PLLfk9Yl5SUhHIq7B2BXePI1upS1pKTjbVs+YO+dAXRKcE7ky88NoWwiGiKioo8bqvPpRmZ5vuM2L6KgboRkWkxdHd3e2wpDTmFREwmwiICPxX6YAiLiqelxXOFpLXVNYUt1seJePz9MIgIsXmJFBYWhuRsG6UUH330EYcOHSJl3GxSJ/gn38jNEpc1nuyZSykqKuKPf/yjX+9FSorL4tfT6n/rzM3Qp5D0yRvKFBYWEhmfFtTjsIgQnTKSwkLPA1uvhBLE+77qvK9ioG5E37l5GvMYcgqJJSo+qLKPXo+wqDhaWj132Vy6dAmAuFG+Dagy4mGIHZWEzWbzaapno/j00085cOAASaNvI+PWhQHdrxNzp5I940EuXrzIK6++6rf08qmprhl1tpbATpJna7ESHh5ObGys0aL4FLvdTnFxCdGpgVN1eajEpOXR2tpCY2OjR+10dnYiJsEUEboBzX2Wd20h6UdraythkaHjo7VExtHZ0enx4H758mXCoix+MRn6m9icBBBCruDe/v37+eSTT0gcmU/W9CUBrYz0kTR6BpnT7ufc2bO8/vrrflFKEhMTMZvN9DQHtoWkp7mblNTUoLiPnlBSUoLd3ktsRvBmyu6jL4eKp8GaNpsNc3hYSN/7vmrFNptnrtPQUkja2kJKIQmLigMUbW1tHrVTVFxE9IjQsRz1xxwZRlSab9LsG8U333zDRx99RHzOZLILHgqq+5YydhYZty7k1KlTPqkGejUmk4nklOSAt5D0tvSQnhYaM9yux6VLl1zujhCwkITHJhMenXDFwjxUlFIQPI/wkOgbonRQaz86OjoIiwwdK0CfD9aTglwdHR00NzUTnRU6itrVRGXFUlZeFhJJp06fPs2ePe8QlzmenJlLEQm+RzR1/B2kTbyLo0eP8vHHH/v8eOlp6dgC2ELitDvpaeu+4l4KZS5dKiQqeYTP8jP5ExEhOm00hYWFHo0tZrMZ5QjsWWCeopyu8/M0z07wjXbXwOl00mO1Yg4PnXn+YRGuBGaeKCQ1NTUARIWgu6aPqLQYem29AVPwbahUVlby+ut/Jjo5m5zblyGm4PU5p02aR1LeDD7//HOfJ69LTU2lp9V6ZVAMNGxtVlCQFuIWEpvNRmVlZUhYR/qISRuF1WqltrZ2yG1ERkbisNkDtn96g74UD5GRngXuhoxC0hfZbzL7J6rYH4jJdS6e+OIbGhoACE8KHUXtaiKSXIpb37kGI1arlVdefRWxRJJ7xwqfZLgE/xSHhL5CfIuJTh3J22+/7dGAfiPS0tJQDqfrhz8A6WlyuZNCXSGpqKhAKadP0sUbRXTyCMCzfCTx8a40FL0BPjXdE3rbXefWd65DJWQUkh99VyHkrHM75jwxF/ZZV3yZf8Ro+s7NE0uS0ezbt4+mxkZGzHqMsEjfzcTwV3FIADGZyZn1GMpkYffut3wWT5KZmQlAT2OXT9r3FKtbroyMDIMl8S19WU0jEtINlsR7WGKSMJktHmVs7XPV9TQHZv/0Bj3NXYiIx9PaDVFIRCRXRPaLyDkROSMiz3vaZnh4OCaTGYctsIPbbgaHzdWBPUk33dvbC4LPUxYbiSnM1Y39nZTLWzQ3N/P114dIyptBTOpInx7LX8Uh+7BExZE+ZQGlpSU+S2CXkeGq7t1dF5gKqbWug+SUZMLDg7fC9mBoaWkBESwhNLFARAiPjvcoY3Z2djYIdNWEbomLruoO0tPTsVg8e/E1ykJiB36tlJoE3AE8KyKTPWlQRIiNi6W3yzuZTQOB3i7X7BpPzGARERGgQNmDP+DzWjh6XS6tYB3wjx49ilJOUif6PvGZv4pD9idx1DQsUfEcPnzYJ+1HRESQkZFBV3W7T9r3BKUU3TUd5I3KM1oUn+NwOBAxebX6ckBgCvPISh0dHU129gg6ioM7xu1aOGx2uqraGDdunMdtGdJzlFLVSqnv3cvtwDlghKftjszNpbu50tNmAoaupgoiIyM9MoMlJbmys/Y0h47l6Gr6TPXBmgWzqLiYqKTskCgKORAiJuKybqGkpMRnM6FGjx5NV3U7zgBTvHuau+nttJGXl2e0KD4nIiIC5XTgdPonKZ6/UPYej9/8p+Xn01XTHpLjcNulRpx2J/n5+R63ZbgqKyJ5wAzg2wG2bRGRYyJybDA+vDFjxmDrbKGnLXiDG/tQTiedtUWMHj0akwdvHKNGuSLeOytCx3J0NZ2VbZjNZpdpNIAYbP9tbW3FEqLKSB+W6ARsNhs9Pb4Jop04cSLOXged5YHVz9uLXGnDJ06caLAkQ+NmxuC+oF1rS7U/RPML9p4uejpbSE/3LC6moKAAs9lMww9VXpIsMFBK0Xi8mvT09Cu/NZ5gqEIiIrHAW8ALSqmfZf9SSv1OKTVTKTVzMBHq06dPx2w201Ts22mG/qC9ppDe7jZmzpzpUTtJSUmMyBlB85m6gK+IOhScdget5xuYPHkyYWGBNcNqsP03OjoauzV0/csA9p5OREwuF6IPGDduHJGRkTSfr/NJ+0NBKUXLuQZG5OSQmOjbsg2+4mbG4DFjXNlZO2pCJ2tyZ52ruJ6n7oj4+HgKCgpoPl1LT4An8bsZWi800F3fyYIFCzx6ce7DMIVERCy4lJHXlFJve6PN2NhYpk2bRkvJcWw+iiWJTMjEFBaBKSyC6NSRRCZkev0YSjlpOP8l8fEJTJ7sUWgNAHfOvRNrYxdthZ7VZLgRkWkxmMLNmMLNxIyI90uq+sbj1ditvcyZM8fnx/IV48aOpbupgt5u38dA+KP/Xo1STjqqLzB27BivDFoDYbFYKCgooK2wCXvX0KdXerMPd1W1Y23s5I7Zs4fcRjARGxvLhAkTaC76zmfTycF/fVgpRcOlb0hOSSE3N9fj9u6//34sYRaqPrvss5dDf47BdmsvNV+VkD0imxkzvFOF3KhZNgL8HjinlPp7b7Z9//33YxKoObnPm81eIWvaIiITM4hMzGD03RvImrbI68doLvqe7pYaHnroQY8z3wHMmDGDrKwsqg+U4LD6rhJr9vwxRKXFEJUWw5gVt5I937f1LGytVuq+rWDS5MleCagyilmzZiFiou7sAZ8fyx/992qai3+gp6OZO+64w6fHmTNnDsrppP67oZvFvdmH649UEBUdxfTp04fcRrBx3333Ybd103DxkM+O4a8+3Fp+CmtLLfctXOiVcTguLo6HHnqIjvJWGn3kuvHXGKyUovLTyzi67axcsdJrLxpGWUjuBNYD94jIcffnAW80nJSUxH33LaS96gLNxT94o0m/Ym2to/b0Z4wdN45p06Z5pU2z2czy5ctxWHsp/+hiSGQMdPY6KHv/PBZTGI8uXWq0OB6RmprKvHl301J6gpbSE0aL41W6m6upPfUJY8eO5dZbb/XpsdLT05kxfQZNJ6rp7fDdG/pg6Kxso720mQXzF/jMTRWIjBw5koKCAhoufE1HXfDWl+ppb6Tm+F5GjcrzqkI5e/ZspkyZQs3BUjqCOK6v4btK2gobWbJkiVdj94yaZY1yGfIAACAASURBVHNQKSVKqXyl1HT350NvtT9v3jzGjx9P9Ym9dDUFz6wbh81Kxbe7iY6KZPUTT3i1qFpubi6PPfoY7aXNVB0oCup4EqfDSdlHF7E2dLFu3borM4mCmUWLFjF27Fiqvv+A1spzRovjFawttZQd+jNxsbGsXbvWL0UCFy1ahCBUf1ni82NdC+VwUrW/iPiEeObOnWuYHEbx2GOPkZaWTuXRPfS0B98EA3tPFxXf7iLcYmbt2jVesY70ISKsXLmS1NRUyt8/fyVpXjDRerGBmoOl5Ofnc/fdd3u1bcNn2fgCk8nEmjVrSIiPp/ybN4PioXDabZR98wa9Xa2sX7/O4xS8AzF79mzmz59P08kaqvYHp1LitDsp++A87UVNLF26lAkTJhgtklcwm81s2LCBkSNHUnHkbRovHwvK+9NHR10xpQdfITrCwpYtzxAb67vss/1JSUnhngX30HqxgXaD8j40/FCFtaGTR5c+GrS5cTwhPDycjRs3EBFmovTga9g6mowWadA4bN2Ufv0a9q4W1q9f75Ng5KioKJ7a/BQRYRGUvH0WW2tgljwYiPaSZsr3XmRU3ihWrVrl9ZeMkFRIAGJiYnjmmaeJsLgfis7ATUrjdNgpP7yb7qZK1q5dw+jRo312rCVLllxRSsr3Xgy4vA3Xw2G1U/rXs7QXNfPoo4+G3NtnVFQUzzzzNJMmTqTmxF6qvv8Apz24ss+6AgEPU/b16yQnJrBjx3a/13BZsGAB6RnpVH5aiL3bv9evu76T2m/KmTJlClOmTPHrsQOJ9PR0tm7dQpg4KPnqFawtvqtl5C16u9so+epVetsb2Lhxo0/j0pKTk9nyzBbMTqH4rTNBoZS0lzZT9v55MjMy2fzkZo9zswxEyCok4JoXv+WZZzBjp+TLP9HT7ttZJkPBabdRdugNOuqKWL58uc/97CLCkiVLWLx4Ma0XGih+64xHsxL8RU9LN5ffPElXVTurVq0KOWWkD9fb5UbuvfdeWkqPU3zg90ExmAPYrR2UHXqD2lOfMnnKFHbufJbk5GS/yxEWFsaa1WtwWh1UfFLoN0uTs9dBxUcXiYmOZvny5X5xUQUymZmZbNu6lUiLUPLVH+moLTJapGtiba2j+MDLOLub2bRpk18sr1lZWWx5ZgumXijefTqgk6a1FTVR9u550tPS2bJli0flTK5HSCsk4Lrp27ZuxWJyUvLlnwJqcHfYrJR+/TpdDaWsXLmSWbNm+eW4IsI999zDunXrsNV3Ufj6STqrfpYGJmBoK2ri8p9PYrLClme2UFBQYLRIPsVkMnH//ffzzDPPEObsoejA76k/fxDloyyn3qC14iyXP/0/WBtLeeyxx9iwfr3Hpcg9ITs7mwcffJD2oiYavvN9HJlSisrPLmNt7mL1E6uJifH9lPdgICsri+d27iQtJYWyQ3+msfBIwLki26ouUPLly0SGwY4dO/zqBs7JyWHb1m2EOc0U7zpNd13g5SNqOV9P2fvnycrKYuuWrT7t2yGvkIBrcNqxfTtREWZKvvoTnfVDLyXtLXq72yn56k9Ym6tZu3atxwnQhkJ+fj47d+4kNjya4t2nafihKqAGC+VU1HxdSum758hIzeD555+/knxpODB+/Hh+/esXuXXqVOrOHqD4iz8ElEIN0GvtoPzwbiqOvE1GegrPP/88c+bMCQjrwJ133smtt95K7ddldJQPvTjaYGg6WUPL+XoW3beI8ePH+/RYwUZiYiI7dmxn0qRJ1JzcR+WxvwaEK1IpJ7Vn9lN+eBeZGek899xOQ7I9u36fdhBliaJ495mAmn3TcLyK8r0XycvL87kyAsNEIQGXT3Pns8+SnJhA2dev02bgTIae9kZKvngZZ3cLTz212Ss1AIZKdnY2Lzz/AhMnTqT6i2LK3juP3Wr8YGFr66Fo12nqj1Zw++238+yOHYaY/40mJiaGdevWsW7dOky2dor2/57aM/txOnyXT2YwKKVoLjnO5U/+N521hSxZsoSdzz5LRkaGoXL1R0RYsWIFKamplH94EVubb/z0nZWtVH9RzMSJE7nnnnt8coxgJzIykg0bNrBo0SJay89Q/MUf6DEw2NXe00XZ12/QcOFrZs6cyY7t2w3Npvvj71MSpXvO0nrJ2IkYSrleBqsPFDN5yhSefuppv1g8h41CAq4cJTt2bCcnZwTl375F0+Vjfpehq6mSki9fJkzsbNu2LSDepqKioti0cRMPP/wwHaUtXH71BJ2VxmnprYWNXH79OPYmK6tXr2b58uU+CaAKJvLz8/nNb37NbbfNoOHC1xR99js6G4yx9Nk6mig9+BpV379P7ogsfvWrF1iwYIFXp0d6i8jISDZt3IjZaaLs/Qs4e71b+M3W3kP5BxdJTk5m9erVPstEGwqYTCYWLlzI5s1PIrZ2ivf/nrbK836Xo6upgqLP/4XuxlKWLVvGihUrAmJ8SUxMZMf2HYwYMYKyDy7QeMKYmkDK4aTyk8IrL4Pr163z2/UZdk9PTEwMW7ZsYdKkSVSf2EvtmQN+c1O01xRS+tUrxMdEs/PZZ8nJyfHLcQeDiPCLX/yCZ3c8S2x4DEW7T1N7uMyvSdScdgeVn1+m7P3zpKdk8MLzL3gtJXEoEBMTw6pVq3j66aeJtkDJl69Q9cNHN52mOzIhc0jptpVy0nDpMJc/+x32tmqWLVvGtm1bPS485mvS09NZs2YN3fUdVHzqvSBXp91B2XvnEQds2rjJZ4F+ocbEiRN54YUXyMxIo/zb3dSc+tQv8VFKKRovH6Xkyz8RGxnGs88+yx133BEQ7sU+YmJi2LplK5MmTaJqfxE1h0r96kZ39jooff88zWfrWLhwIY8//rhfXzQCqxqZnwgPD2fDhg28/fbbHD16EIeti6zpixHxnX7WUnaKqu/eJSsrm6ee2kxcXJzPjuUJubm5vPDCC+zZs4cfDv9AV0UbOUtuwRLj23wKPc3dlH1wAWtDJ3fffTeLFy8OuGJ5gcItt9zCr3/9Inv37uXgwa/prC0k67aHiE0f3HTxoaTa7mlvpOq79+hqqmDSpEksW7aMhITgqVA8adIkFt+/mL179xKVHktawQiP2usLYu2u62Djxo0B5aoKBpKSknh2xw7effddDh8+jLWlmpxZjxEW6Zt8NU57L1U/fEBr+WkmTpzIE088QXR0tE+O5Sk/+X06chR7Vy8j7hmLmHyrONmtvZS+c47u2g6WLVvm81IPAzFsR/y+dOqxsbHs378fR6+VnJlLEZP3tcGmy8eoPrGXMWPGsmnTRkNnHwyGyMhInnjiCcaNG8eed/Zw+bUT5CwZT2yub3ysLRfqqfr0MuGWcJ588kkmTZrkk+OEEuHh4TzyyCNMmzaNN958k9KDr5E89nYypt6Dyey9x1opRXPx99Se+oTwcAurV69m+vTpAfVWOVgWLFhAeUUFZw+eISo9xqP+3HSyhpZz9SxcuHBY5xvxhLCwMJYtW8aoUaN46623KT7wEjl3rCQq0bvF8nq7Wik/vIvullruv/9+r1Wm9SV9v09xcXF8/vnnOKx2chffginMN3L3dvRQ8vZZett6WL9+PVOnTvXJcW5EYN8VH9OXk+OBBx6greIs5Uf24HR618fcWPgt1Sf2MmnyZJ56anPAKyN9iAizZs3il8/9ksTYBIrfPkP9d5VeNR8qp6L6y2LKP7pIzogcfvXCr7QycpOMGjWKX73wAnfeeSdNl49QfOAPXsu347B1U354N9XHP2Lc2DH8+sUXmTFjRlAqI+Dq06tWriQlNZWKjy7R2zm0/DtdNe1Uf1HMhIkTWLhwoZelHH4UFBSwY8d2IsOEki/+6NW4kq6mSooPvISjq5knn9zEvffeG/DKSB8iwuLFi3nkkUdoK2yk9N1zXo+BAleOp6K/nMbZaefpp542TBmBYa6Q9DF//nweeeQR2qvOU/Ht217zZzYWfkvNyU+YOnUqG9avD4jAqZslMzOT53Y+x9QpU6n5qsRr2V0dVjsle87Q8H0Vc+fOZdvWbYZGuQcz4eHhLF26lE2bNiG97RQfeIm2qosetelKFPUSnbWFPPTQQ2zevDmoXDTXIjIykg3r16N6nUMqNOmw2in/8CLx8fGsfkIHsXqLnJwcnn/+l4zIzqL8291emXDQF7MXGx3Bc8/tDNqXnbvuuouVK1fSWd5K8Z6zOGzem2HX09RF8a4zmO3Ctq3bGDt2rNfaHgr6aXJz1113sXTpUtqrL1D5/XvXtQQMJiiwufTEFWVk7dq1ATkDYbBERkayfv167r//flovNFCy5wwO68APRWRaDJFp15+rbmvvoWjXKbqq2lmxYgWPPvpoUF+fQGHy5Mm88PzzZKanUX74LzRcOjwki1Z7zWWKv/gDFrGzffs27r777pD64c3MzOSxRx+js6KV+gGSpl2vD1fuv4y9w8a6tesCNgYhWImLi2Pbtq1XJhzUnfvymv33RmNwS9kpyr95k8yMDJ7buTPoY3xmzpzJ2rVr6a5pp+Ttszh6rq2UDGYMBrA2dVG8+wzhhLF92/aAmGQhgZQI63rMnDlTHTvm+2m6n376Kfv27SNl/B1k3jo0c2x79SXKD/+FsePGsfnJJ0MqOPOHH37gzb+8SXhiFKMfn0xY9M0Fu/Y0d1P81hlMvfi8XkQ/DPcx+Kv/AvT29vLGG29w6tQpUsbfQcbUewftZmkpP03Vsb+SmZnF5s1PhoRVZCCUUrz66qucPnOasaunETWIAbzlYgPlH15g0aJFRrhqhk0fdjgc7N69m++++470yfNJm3jXTX2/teIsFUf3MGb0mKCI2bsZTp06xauvvUp0Zhx5j03GZBnai1xPSzfFu04TjoVt27b5Q2EbVP8NndceL3Hvvfcyd+5cGi8dprnk+E1/39paR+XRPWRlZ7Nxw4aQUkYAZsyYwdNPPY29rYfit85i7xp8ErWe5m6Kd5/Boszs2LHDX8rIsMNisbB27VrmzJlD46XD1J7+fFDfa604Q+WxvzJ69Gi2b98WssoIuPzzy5YtIzo6mspPC2/ourFbe6neX8SInBwWLFjgJymHJ2azmRUrVjBjxgzqzh6g8fLRQX+3vaaQyqPvkDcqj82bnwwpZQTg1ltvZfUTq+mqbqfs/Qsox827z/sCWMOUma1btwaU9UgrJFchIjz88MOMGzeO6uMf0tU0+DoYDpuV8sO7iIqM4MlNm4iIiPChpMYxbtw4Nj+5GXtbDyXvnB1UoJW9y0bJnrNYlJmtW7aSlZXlB0mHLyaTiUcffdStlHxzw0G9s6HUpYzk5bF5c/AEX3tCTEwMjzz8CN21HTSdqrnuvrUHS3H02FmxfLl2L/oBk8nEypUrmTxlCjUn9w2qMF9PewOVR98mKyuLJ5/cRHi4b1MVGMX06dNZtmwZ7aXNVH52+abcsg6bg9K/nkNZHTz91NNkZnp3RpOnaIVkAMxmM+vWrSMhPp7Ko+8MKvGUUoqq4x/S29XKxo0bQvrtElxKybq16+iu76B836XrPhROu5PS9y7g7LLz1FNPaWXET4gIS5cuZfLkydSc3EdnQ9mA+/VaO6j49i1SklPYuHFjyA7kAzF9+nTGjhtH3Tfl1/TLWxs6aTpdy51z7zSk1slwxWw2s2b1ajLSM6g8ugdb17XrETnsNsoP7yIi3MKmTRtDPknd7NmzWbhwIc1n6wZdPFIpRcXei1gbuli/bj25ubk+lvLm0QrJNYiOjmbNmjX0drVQc3LfDfdvrThDW8VZFi26j1GjRvlBQuOZPHkyDyx5gLZLjTSdvPYbZu03ZXRVt7Fq1aqAfAhCGZPJxBNPPEFSUhJVx/6K0/7Tqa5KKaq+ex8cvWzcuGHYBWqKCA89+CB2a++AAa4ANYfKiIiM0FN8DSA8PJyNGzdgwkH19x9e88Wn7sx+etqbWLd27bCZrXffffeRn59PzdelgyoeWX+0kraiJh5++GEmTpzoBwlvHq2QXIe8vDzmz59PS+mJ69YNcdis1J78hJyc3GHnX543bx633HILNV+V0NPS/bPtnVVtNHxXye233860adMMkFATGRnJE6tWYetqpf78wZ9sa6++SEdtIUuWLA4oX7I/GTFiBPn5+TQdr/mZlaS7vpP2oibmz5s/7JS1QCE1NZUHHniAjroiWstP/2x7V1MlTZePMnfunGEVl9ZXPDI1NY2KvYXXLYraVd1O3TdlTJs2jTvvvNOPUt4cWiG5Affeey8JiYnUHN+LUgMHENWd+xKHrYtlyx4LqemRg6HvoQgzhVFz8KdKm1KK6i+KiU9I4OGHHzZIQg3A6NGjmT59Ok2Xj2Lv6QRc96f+7AFS09KYO3euwRIay7x583DY7DSdqf3J+sYfqrBYLMyZM8cgyTQAd9xxBzk5OdSfPfCz5JV1Z/YTExvL4sWLDZLOOCIiIli7Zg0Oay/VXxQPuI/T7iqWF58Qz7JlywI6seHw+vUcAuHh4Tz4wANY2+ppqzj3s+29Xa00F3/HzJkzA2IetxEkJCQwb9482gob6aptv7K+rbCR7toOlixeHLIBvsHEwoULcTp6aS7+HoDOuiKsbfXce889wz5QMzc3l1GjRtFyuu6KW8DRY6f1YgMFBQXaOmIwJpOJRYsWYetqpbX05JX1nQ1ldNaXsGD+/GERiD0QI0aMYP68+bScqx+wSnvDD1VYm7p4fNnjAR9boxWSQZCfn096egYNF776mQ+z4dJhBIa9f/kXv/gF4RHhNB7/sWR24w/VJCUn6Yq9AUJ6ejpjx46ltewkSilaSk8SFRWlXWluCgoKsDZ1Ya1zWZBaCxtx2p0UFBQYLJkGYMKECWRmZtFc8v2Vdc3F3xMZGWlIIbhA4p577iEuPp6ar35aHdhu7aXhaCWTJk0K2LiR/miFZBCYTCYWLJiPta2Brn6xJA67jdayE0yfPo2kpCQDJTSeyMhIZhbMpPViI44eOz1NXXRWtTF3ztxh58YKZKZNm0ZPRzPW1lo6aguZOnVqyOXKGSr5+fmICK2XXbWA2i43kZCYyMiRIw2WTAMu9/Dtt8+iu7kaa1s9jt4e2qvOM3369GE1M2wgwsPDuW/hQrpq2ums+NFK0niiBofNHjTuLP1LMUjy8/OJjIqiqfhH7byt4gyOXpv2L7uZPn06yuGkvaSZtstNAPrtO8CYMGECAI2XDuPo7bnyv8Y1s27kqJF0lLTgdDjpLG9l8qRJAe1zH27k5+cDrmzYnfUlOB12Pca4KSgoIDom+oqVWjkVzSdruOWWW4Im1YJWSAaJxWJhWn4+HTWXcDpckfhtledJTk7Rb1BuRo4cSVR0FB2lLbSXtpCVlTVspuAFC4mJicTFxV+ZraD77k8ZN3Yc3fUddFW14ex1GF5sTPNT4uPjycjMpLOuiM66YiyW8GGTZuFGWCwWCm4roL24Gbu1l46yFno7bcyePdto0QaNYQqJiCwWkQsiUigi/7dRctwMU6dOxWnvpbOuGEdvD531xUydOkW/QbkxmUzkjcqjq6qd7toOxowZY7RImqsQEUaMcCX3io6OCfkEfjfLyJEjQblM3Vf+1wQUY0aPxtpSTXdzJSNH5mqXYz+mTZuGcqorVmpLuCUoYkf6MOROiogZ+H+B+4AK4KiIvKuUOmuEPINlzJgxmM1mV04SMaGcTm3yvoqcnBzOnXPNRhoxYoTB0mgG4pFHHmHSpElkZWVpZfoq+jKxthU2EhUdpS18AUh2djaO3m/obq4me+ovjBYnoMjJySEqKorOsla6qtoZN3YcFovFaLEGjVGq5e1AoVKqCEBE3gCWAgGtkFgsFnJzR1LbUIaYzJhMJm0uvIq0tLQBlzWBQ2pqKqmpqUaLEZDEx8cTHhGOrcdGelq60eJoBiA9PX3AZY3bSp2XR2HpZXo7beTNyTNapJvCKJfNCKC83/8V7nUBT25uDj1tdVibq0lPzxj20d1X03+2UXJysoGSaDQ3j4hc6cO6/wYm/ceY4T67cSDy8vLo7bRdWQ4mjLKQDGQn/lmRAhHZAmyBwPHlZmVl4XTY6agrYrzOr/Ez+g/iMTExBkpiPIHYfzU3JikxidqaWu2uITD7cFxc3JXl+Ph4AyUJTO6++27Gjx9PWFhY0JWDMEohqQD6V1nLAaqu3kkp9TvgdwAzZ84cfI1lH5KSknJlWZu9f05cXBwvvvgiFotl2OcfCcT+q7kxDz74ILfccsuVKabDmUDsw/2zCsfGxhooSWBiNpuDNmu4UQrJUWC8iIwGKoEngDUGyXJT9FdCtEIyMJmZmUaLoNEMmYyMjKB7sxxubNiwgY6ODq2QhBiGKCRKKbuI7AQ+BszAS0qpM0bIcrPExcWxZcsWurq6mDx5stHiaDQazbBj6tSpRoug8QGGTeBWSn0IfGjU8T1hOJW41mg0Go3GHwxvJ79Go9FoNJqAQCskGo1Go9FoDEcrJBqNRqPRaAxHKyQajUaj0WgMRyskGo1Go9FoDEcrJBqNRqPRaAxHKyQajUaj0WgMR5QKiGzAN0RE6oFSo+XoRyrQYLQQAUqgXZsGpdRiIwXQ/TfoCLTro/vwzwm0exRIBNq1GVT/DRqFJNAQkWNKqZlGyxGI6GsT+Oh7dH309Ql89D26NsF6bbTLRqPRaDQajeFohUSj0Wg0Go3haIVk6PzOaAECGH1tAh99j66Pvj6Bj75H1yYor42OIdFoNBqNRmM42kKi0Wg0Go3GcLRCMgDi4qCILOm3bqWI7DVSrkBERJSI/F2//38jIr81UKRhhYh0+LDtTSLyT75q35eIiENEjovIGRE5ISIviojJvW2miPwPo2XU/Bz3ePJKv//DRKReRN6/wffm32ifYKFf3+375PnwWAH1jIcZLUAgopRSIrIN2CUi+wEz8B8BQ/MABCg9wDIR+VulVCDNe9cMb7qVUtMBRCQdeB1IAP6dUuoYcMyXBxeRMKWU3ZfHCFE6gakiEqWU6gbuAyoNlsnfXOm7ww1tIbkGSqnTwHvA/wX8O+BPSqnLIrJRRI64Ndf/T0RMbi3+FRE5JSKnReSXxkrvV+y4Aqh+dfUGERklIp+JyEn335H+F2/4ISIvi8jyfv93uP/OF5EDIrJbRM6LyGsiIu5ts0TkkNuacERE4txfzxaRvSJySUT+iwGn4zFKqTpgC7DTbf288jYtIr8VkZfc16Wo79kVkTwROSci/+y2suwTkSj3trHua/KdiHwlIhPd618Wkb93v8T8Z4NONxT4CHjQvbwa+HPfBhG53d1Pf3D/nXD1l0Ukxn1Pj7r3W+onuX2GiJhF5L+6z+mkiGx1r58vIl+IyF9E5KKI/CcRWet+hk+JyFj3fg+LyLfu6/GpiGQMcIw0EXnLfYyjInKnv88TpZT+XOMDxAAXgFNABDAVeAcIc2//HbAGmA181O97iUbL7sdr1AHEAyW43kB/A/zWve09YKN7eTPwjtHyhtoH6Bhg3cvA8qv3AeYDrUAOrpeRb4C7gHCgCJjl3i8el/V0k3t9AhCJK0tnrtHn7MF1aQYy3Nfhffe63wKH3M93KtAIWIA8XMr2dPd+fwHWuZc/A8a7l2cDn/e77u8DZqPPP1g/7vEkH9jt7nPHr7pf8f3G34XAW+7l/vv8Tb97lQhcBGKMPrebuAYO93kfB/a4120B/o17OQKXhW+0+7xbgCz3+krg37v3ex74B/dyEj9OYnka+Dv38ibgn9zLrwN3uZdHAuf8fe7aZXMdlFKdIvImrsGtR0QWArOAY+4XyyigHPgYmCAi/wh8COwzSmYjUEq1icifgF8C3f02zQGWuZdfAYLyDTvEOKKUqgAQkeO4fnhbgWql1FFw3U/3doDPlFKt7v/PAqNw9flgRK6x/gOlVA/QIyJ1uJQWgGKl1HH38ndAnojEAnNxuXP7vh/Rr61dSimHl+UeViilTrrjJlbjGk/7kwD8UUTGAwqX8ng1i4BHROQ37v8jcf/A+kRg7zOQy2YRkN/P8pkAjAdswFGlVDWAiFzmx9+fU8AC93IO8KaIZOF6ASke4LgLgcn9+nW8iMQppdq9cE6DQiskN8bp/oBrQHtJKfVvr95JRPKBJbh+lB/HpdEOJ/4B+B74w3X20XPM/YMdtzvW7ZIJ77etp9+yA9cYIFz73gy0f9AhImNwyV8HTLpq87XO8er1Ubiua8sAPxh9dHourQZ4F/hvuCwAKf3W/wdgv1LqMbfScmCA7wrwuFLqgm9F9CsCPKeU+vgnK0Xm89N+6uz3v5Mf+/L/BP5eKfWu+zu/HeAYJmCOcsXuGIKOIbk5PgVWikgqgIikiMhIEUnDZQ7bhSve5DYjhTQCpVQTLrP2U/1WHwKecC+vBQ76W65hSglQ4F5eysBvkf05jytWZBaAiMSJSFAqHgPhfj7/Ny7TtEdKsdt6VCwiK9xti4hM84KYmp/yEvD/KKVOXbU+gR+DXDdd47sfA8/1i4+a4RMJ/cvHwHYRsQCIyC0iEnMT3+9/3TZeY599wM6+f0TE74G1WiG5CdwPx78HPhWRk7huYAaQC3zpNoH/M/CvjZPSUP4Olx++j18CT7qv1XpcPk2Nd4kWkYp+nxdx9cF5InIEV4zDdd/alVI2YBXwP0XkBPAJLjN3MBMl7mm/uF4k9uF6dr3BWuAp97U6g0vp03gRpVSFUuofB9j0X4C/FZGvcc1+HIj/gEsJPykip93/Bzv/ApwFvnef0//h5qyVv8XlZvyKa1cB/iUw0x00exbY5oG8Q0JnatVoNBqNRmM42kKi0Wg0Go3GcLRCotFoNBqNxnC0QqLRaDQajcZwtEKi0Wg0Go3GcLRCotFoNBqNxnC0QhJiSAhVvdQENyKSKCI73MvZIrLbaJk0Gk3gohUSzRVCKRmWJiBIBHYAKKWqlFLLb7C/RqMZxmiFxGDclSk/EFeV1dMiskpESkTkb0TkGxE5JiK3icjHInJZRLa5vyfu6o+n3VUdVw3Q9ix31AktBwAAAt1JREFUdccx16qAKSKbRGSXiLzHMKvBo/E5/wkY605Qtsud0Kmvz70jIu+JSLGI7BSRF9398rCIJLv3G7Cqrkbjb64xTheIq9Lud+7xOUtcld+PutOzIyJ/KyL/0WDxgwejKxsO9w+uujf/3O//BFypv7e7///vwEkgDkgD6vp97xNc2QozgDJcFR/n46o4OhdXQbCR7v0HrICJK/1yBZBs9LXQn9D64Crcd3qA5U1AYb8+3Qpsc2/778AL7uUBq+rqj/74+3ONcfoQkOb+fxWuOmcAU3AV8rsP+AEIN1r+YPloE73xnAL+m4j8Z1zls79yl2B4t9/2WOWquNguIlYRScRVNv7PylVZtFZEvsBVibgNV/Gw3wGLlFJV7nauVQET4BPlqkWj0fiL/f36dCvwnnv9KVxVTW9UVVej8Sc/GaeBZmAq8Im7f5qBagCl1BkReQVXn56jXKUZNINAKyQGo5S6KCIFwAO4ajT0uU36V2y8uppjX4XWa1GNS+GYAfQpJANWwBSRG9Y60Wh8wI0qlN6oqq5G4zeuHqdxWafPKKXmXOMrtwItuKzXmkGiY0gMRkSygS6l1Ku4ym0PtlLwl8AqETG7q5neDRxxb2sBHgT+ps+XSWhWwNQENu243DI3jdJVdTUBxADj9GwgTUTmuLdbRGSKe3kZkIJrTP4fbou2ZhBoC4nx3Ar8VxFxAr3AdmAw0yP3AHOAE4AC/pVSqqYv8E8pVSsiDwMfichmXBUv/wFXBUzBFafykLdPRqPpQynVKCJfu4NZzw2hibXA/xKRf4OreusbuPq7RuNvBhqn7bgUjgRcv6X/ICK1uIK571VKlYvIPwH/CGw0SO6gQlf71Wg0Go1GYzjaZaPRaDQajcZwtEKi0Wg0Go3GcLRCotFoNBqNxnC0QqLRaDQajcZwtEKi0Wg0Go3GcLRCotFoNBqNxnC0QqLRaDQajcZwtEKi0Wg0Go3GcP5/5E9/iKwgnCcAAAAASUVORK5CYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "g = sns.PairGrid(tips,\n", - " x_vars=[\"smoker\", \"time\", \"sex\"],\n", - " y_vars=[\"total_bill\", \"tip\"],\n", - " aspect=.75, size=3.5)\n", - "g.map(sns.violinplot, palette=\"pastel\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { - "anaconda-cloud": {}, "kernelspec": { "display_name": "Python 3", "language": "python", @@ -976,7 +891,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.0" } }, "nbformat": 4, diff --git a/lessons/lesson14.6.ipynb b/lessons/lesson14.6.ipynb index d4d3da5..2556328 100644 --- a/lessons/lesson14.6.ipynb +++ b/lessons/lesson14.6.ipynb @@ -4,15 +4,15 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Lesson 14.6 - Plotting with Seaborn: Plotting on data-aware grids\n", + "## Lesson 14.6 - Plotting with Seaborn: Visualizing linear relationships\n", "\n", "*Facsimile of [Seaborn tutorial](http://stanford.edu/~mwaskom/software/seaborn/tutorial.html).*\n", "\n", - "When exploring medium-dimensional data, a useful approach is to draw multiple instances of the same plot on different subsets of your dataset. This technique is sometimes called either \"lattice\", or `\"trellis\" `_ plotting, and it is related to the idea of `\"small multiples\" `_. It allows a viewer to quickly extract a large amount of information about complex data. Matplotlib offers good support for making figures with multiple axes; seaborn builds on top of this to directly link the structure of the plot to the structure of your dataset.\n", + "**Note: This notebook is optional and is not covered in class.**\n", "\n", - "To use these features, your data has to be in a Pandas DataFrame and it must take the form of what Hadley Whickam calls `\"tidy\" data `_. In brief, that means your dataframe should be structured such that each column is a variable and each row is an observation.\n", + "Many datasets contain multiple quantitative variables, and the goal of an analysis is often to relate those variables to each other. We previously discussed distribution_tutorial functions that can accomplish this by showing the joint distribution of two variables. It can be very helpful, though, to use statistical models to estimate a simple relationship between two noisy sets of observations. The functions discussed in this chapter will do so through the common framework of linear regression.\n", "\n", - "For advanced use, you can use the objects discussed in this part of the tutorial directly, which will provide maximum flexibility. Some seaborn functions (such as `lmplot`, `factorplot`, and `pairplot`) also use them behind the scenes. Unlike other seaborn functions that are \"Axes-level\" and draw onto specific (possibly already-existing) matplotlib ``Axes`` without otherwise manipulating the figure, these higher-level functions create a figure when called and are generally more strict about how it gets set up. In some cases, arguments either to those functions or to the constructor of the class they rely on will provide a different interface attributes like the figure size, as in the case of `lmplot` where you can set the height and aspect ratio for each facet rather than the overall size of the figure. Any function that uses one of these objects will always return it after plotting, though, and most of these objects have convenience methods for changing how the plot, often in a more abstract and easy way." + "In the spirit of Tukey, the regression plots in seaborn are primarily intended to add a visual guide that helps to emphasize patterns in a dataset during exploratory data analyses. That is to say that seaborn is not itself a package for statistical analysis. To obtain quantitative measures related to the fit of regression models, you should use [`statsmodels`](http://statsmodels.sourceforge.net). The goal of seaborn, however, is to make exploring a dataset through visualization quick and easy, as doing so is just as (if not more) important than exploring a dataset through tables of statistics." ] }, { @@ -32,8 +32,6 @@ "source": [ "import numpy as np\n", "import pandas as pd\n", - "import seaborn as sns\n", - "from scipy import stats\n", "import matplotlib as mpl\n", "import matplotlib.pyplot as plt" ] @@ -44,27 +42,22 @@ "metadata": {}, "outputs": [], "source": [ - "sns.set(style=\"ticks\")\n", - "np.random.seed(sum(map(ord, \"axis_grids\")))" + "import seaborn as sns\n", + "sns.set(color_codes=True)" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 4, "metadata": {}, + "outputs": [], "source": [ - "Subsetting data with `FacetGrid`\n", - "---------------------------------------\n", - "\n", - "The `FacetGrid` class is useful when you want to visualize the distribution of a variable or the relationship between multiple variables separately within subsets of your dataset. A `FacetGrid` can be drawn with up to three dimensions: ``row``, ``col``, and ``hue``. The first two have obvious correspondence with the resulting array of axes; think of the hue variable as a third dimension along a depth axis, where different levels are plotted with different colors.\n", - "\n", - "The class is used by initializing a `FacetGrid` object with a dataframe and the names of the variables that will form the row, column, or hue dimensions of the grid. These variables should be categorical or discrete, and then the data at each level of the variable will be used for a facet along that axis. For example, say we wanted to examine differences between lunch and dinner in the ``tips`` dataset.\n", - "\n", - "Additionally, both `lmplot` and `factorplot` use this object internally, and they return the object when they are finsihed so that it can be used for further tweaking." + "np.random.seed(sum(map(ord, \"regression\")))" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -73,53 +66,159 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { - "image/png": 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" + ], "text/plain": [ - "" + " total_bill tip sex smoker day time size\n", + "0 16.99 1.01 Female No Sun Dinner 2\n", + "1 10.34 1.66 Male No Sun Dinner 3\n", + "2 21.01 3.50 Male No Sun Dinner 3\n", + "3 23.68 3.31 Male No Sun Dinner 2\n", + "4 24.59 3.61 Female No Sun Dinner 4" ] }, + "execution_count": 6, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "g = sns.FacetGrid(tips, col=\"time\")" + "tips.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Initializing the grid like this sets up the matplotlib figure and axes, but doesn't draw anything on them.\n", + "Functions to draw linear regression models\n", + "------------------------------------------\n", + "\n", + "Two main functions in seaborn are used to visualize a linear relationship as determined through regression. These functions, `regplot` and `lmplot` are closely related, and share much of their core functionality. It is important to understand the ways they differ, however, so that you can quickly choose the correct tool for particular job.\n", + "\n", + "* `sns.regplot()` -- plot data and a linear regression model fit\n", + "* `sns.lmplot()` -- plot data and regression model fits across a `FacetGrid`\n", + "\n", + "The [`FacetGrid`](https://seaborn.pydata.org/generated/seaborn.FacetGrid.html) is an object that links a Pandas DataFrame to a matplotlib figure with a particular structure.\n", + "\n", + "In particular, `FacetGrid` is used to draw plots with multiple Axes where each Axes shows the same relationship conditioned on different levels of some variable. It’s possible to condition on up to three variables by assigning variables to the rows and columns of the grid and using different colors for the plot elements.\n", "\n", - "The main approach for visualizing data on this grid is with the :meth:`FacetGrid.map` method. Provide it with a plotting function and the name(s) of variable(s) in the dataframe to plot. Let's look at the distribution of tips in each of these subsets, using a histogram." + "In the simplest invocation, both `regplot` and `lmplot` functions draw a scatterplot of two variables, ``x`` and ``y``, and then fit the regression model ``y ~ x`` and plot the resulting regression line and a 95% confidence interval for that regression:" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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"text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -127,37 +226,29 @@ } ], "source": [ - "g = sns.FacetGrid(tips, col=\"time\")\n", - "g.map(plt.hist, \"tip\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This function will draw the figure and annotate the axes, hopefully producing a finished plot in one step. To make a relational plot, just pass multiple variable names. You can also provide keyword arguments, which will be passed to the plotting function:" + "sns.regplot(x=\"total_bill\", y=\"tip\", data=tips)" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 7, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, "metadata": {}, @@ -165,38 +256,38 @@ } ], "source": [ - "g = sns.FacetGrid(tips, col=\"sex\", hue=\"smoker\")\n", - "g.map(plt.scatter, \"total_bill\", \"tip\", alpha=.7)\n", - "g.add_legend()" + "sns.lmplot(x=\"total_bill\", y=\"tip\", data=tips)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "There are several options for controlling the look of the grid that can be passed to the class constructor." + "You should note that the resulting plots are identical, except that the figure shapes are different. We will explain why this is shortly. For now, the other main difference to know about is that `regplot` accepts the ``x`` and ``y`` variables in a variety of formats including simple numpy arrays, pandas ``Series`` objects, or as references to variables in a pandas ``DataFrame`` object passed to ``data``. In contrast, `lmplot` has ``data`` as a required parameter and the ``x`` and ``y`` variables must be specified as strings. This data format is called \"long-form\" or `\"tidy\" `_ data. Other than this input flexibility, `regplot` possesses a subset of `lmplot`'s features, so we will demonstrate them using the latter.\n", + "\n", + "It's possible to fit a linear regression when one of the variables takes discrete values, however, the simple scatterplot produced by this kind of dataset is often not optimal:" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": {}, @@ -204,47 +295,36 @@ } ], "source": [ - "g = sns.FacetGrid(tips, row=\"smoker\", col=\"time\", margin_titles=True)\n", - "g.map(sns.regplot, \"size\", \"total_bill\", color=\".3\", fit_reg=False, x_jitter=.1)" + "sns.lmplot(x=\"size\", y=\"tip\", data=tips)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Note that ``margin_titles`` isn't formally supported by the matplotlib API, and may not work well in all cases. In particular, it currently can't be used with a legend that lies outside of the plot.\n", - "\n", - "The size of the figure is set by providing the height of *each* facet, along with the aspect ratio:" + "One option is to add some random noise (\"jitter\") to the discrete values to make the distribution of those values more clear. Note that jitter is applied only to the scatterplot data and does not influence the regression line fit itself:" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.6/site-packages/seaborn/axisgrid.py:703: UserWarning: Using the barplot function without specifying `order` is likely to produce an incorrect plot.\n", - " warnings.warn(warning)\n" - ] - }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, "metadata": {}, @@ -252,45 +332,36 @@ } ], "source": [ - "g = sns.FacetGrid(tips, col=\"day\", size=4, aspect=.5)\n", - "g.map(sns.barplot, \"sex\", \"total_bill\")" + "sns.lmplot(x=\"size\", y=\"tip\", data=tips, x_jitter=.05)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "With versions of matplotlib > 1.4, you can pass parameters to be used in the `gridspec` module. The can be used to draw attention to a particular facet by increasing its size. It's particularly useful when visualizing distributions of datasets with unequal numbers of groups in each facet." + "A second option is to collapse over the observations in each discrete bin to plot an estimate of central tendency along with a confidence interval:" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.6/site-packages/seaborn/axisgrid.py:703: UserWarning: Using the boxplot function without specifying `order` is likely to produce an incorrect plot.\n", - " warnings.warn(warning)\n" - ] - }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -298,40 +369,48 @@ } ], "source": [ - "titanic = sns.load_dataset(\"titanic\")\n", - "titanic = titanic.assign(deck=titanic.deck.astype(object)).sort_values(\"deck\")\n", - "g = sns.FacetGrid(titanic, col=\"class\", sharex=False,\n", - " gridspec_kws={\"width_ratios\": [5, 3, 3]})\n", - "g.map(sns.boxplot, \"deck\", \"age\")" + "sns.lmplot(x=\"size\", y=\"tip\", data=tips, x_estimator=np.mean)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "The default ordering of the facets is derived from the information in the DataFrame. If the variable used to define facets has a categorical type, then the order of the categories is used. Otherwise, the facets will be in the order of appearence of the category levels. It is possible, however, to specify an ordering of any facet dimension with the appropriate ``*_order`` parameter:" + "Fitting different kinds of models\n", + "---------------------------------\n", + "\n", + "The simple linear regression model used above is very simple to fit, however, it is not appropriate for some kinds of datasets. The `Anscombe's quartet `_ dataset shows a few examples where simple linear regression provides an identical estimate of a relationship where simple visual inspection clearly shows differences. For example, in the first case, the linear regression is a good model:" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "anscombe = sns.load_dataset(\"anscombe\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 11, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -339,39 +418,37 @@ } ], "source": [ - "ordered_days = tips.day.value_counts().index\n", - "g = sns.FacetGrid(tips, row=\"day\", row_order=ordered_days,\n", - " size=1.7, aspect=4,)\n", - "g.map(sns.distplot, \"total_bill\", hist=False, rug=True)" + "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'I'\"),\n", + " ci=None, scatter_kws={\"s\": 80})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Any seaborn color palette (i.e., something that can be passed to `color_palette()` can be provided. You can also use a dictionary that maps the names of values in the ``hue`` variable to valid matplotlib colors:" + "The linear relationship in the second dataset is the same, but the plot clearly shows that this is not a good model:" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 12, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -379,39 +456,37 @@ } ], "source": [ - "pal = dict(Lunch=\"seagreen\", Dinner=\"gray\")\n", - "g = sns.FacetGrid(tips, hue=\"time\", palette=pal, size=5)\n", - "g.map(plt.scatter, \"total_bill\", \"tip\", s=50, alpha=.7, linewidth=.5, edgecolor=\"white\")\n", - "g.add_legend()" + "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'II'\"),\n", + " ci=None, scatter_kws={\"s\": 80})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "You can also let other aspects of the plot vary across levels of the hue variable, which can be helpful for making plots that will be more comprehensible when printed in black-and-white. To do this, pass a dictionary to ``hue_kws`` where keys are the names of plotting function keyword arguments and values are lists of keyword values, one for each level of the hue variable." + "In the presence of these kind of higher-order relationships, `lmplot` and `regplot` can fit a polynomial regression model to explore simple kinds of nonlinear trends in the dataset:" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 13, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": {}, @@ -419,46 +494,37 @@ } ], "source": [ - "g = sns.FacetGrid(tips, hue=\"sex\", palette=\"Set1\", size=5, hue_kws={\"marker\": [\"^\", \"v\"]})\n", - "g.map(plt.scatter, \"total_bill\", \"tip\", s=100, linewidth=.5, edgecolor=\"white\")\n", - "g.add_legend()" + "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'II'\"),\n", + " order=2, ci=None, scatter_kws={\"s\": 80})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "If you have many levels of one variable, you can plot it along the columns but \"wrap\" them so that they span multiple rows. When doing this, you cannot use a ``row`` variable." + "A different problem is posed by \"outlier\" observations that deviate for some reason other than the main relationship under study:" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 16, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.6/site-packages/seaborn/axisgrid.py:703: UserWarning: Using the pointplot function without specifying `order` is likely to produce an incorrect plot.\n", - " warnings.warn(warning)\n" - ] - }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 14, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": {}, @@ -466,28 +532,37 @@ } ], "source": [ - "attend = sns.load_dataset(\"attention\").query(\"subject <= 12\")\n", - "g = sns.FacetGrid(attend, col=\"subject\", col_wrap=4, size=2, ylim=(0, 10))\n", - "g.map(sns.pointplot, \"solutions\", \"score\", color=\".3\", ci=None)" + "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'III'\"),\n", + " ci=None, scatter_kws={\"s\": 80})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Once you've drawn a plot using :meth:`FacetGrid.map` (which can be called multiple times), you may want to adjust some aspects of the plot. There are also a number of methods on the `FacetGrid` object for manipulating the figure at a higher level of abstraction. The most general is :meth:`FacetGrid.set`, and there are other more specialized methods like :meth:`FacetGrid.set_axis_labels`, which respects the fact that interior facets do not have axis labels. For example:" + "In the presence of outliers, it can be useful to fit a robust regression, which uses a different loss function to downweight relatively large residuals:" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 17, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", "text/plain": [ - "" + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" ] }, "metadata": {}, @@ -495,41 +570,37 @@ } ], "source": [ - "with sns.axes_style(\"white\"):\n", - " g = sns.FacetGrid(tips, row=\"sex\", col=\"smoker\", margin_titles=True, size=2.5)\n", - "g.map(plt.scatter, \"total_bill\", \"tip\", color=\"#334488\", edgecolor=\"white\", lw=.5);\n", - "g.set_axis_labels(\"Total bill (US Dollars)\", \"Tip\");\n", - "g.set(xticks=[10, 30, 50], yticks=[2, 6, 10])\n", - "g.fig.subplots_adjust(wspace=.02, hspace=.02)" + "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'III'\"),\n", + " robust=True, ci=None, scatter_kws={\"s\": 80})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "For even more customization, you can work directly with the underling matplotlib ``Figure`` and ``Axes`` objects, which are stored as member attributes at ``fig`` and ``axes`` (a two-dimensional array), respectively. When making a figure without row or column faceting, you can also use the ``ax`` attribute to directly access the single axes." + "When the ``y`` variable is binary, simple linear regression also \"works\" but provides implausible predictions:" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 16, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": {}, @@ -537,48 +608,38 @@ } ], "source": [ - "g = sns.FacetGrid(tips, col=\"smoker\", margin_titles=True, size=4)\n", - "g.map(plt.scatter, \"total_bill\", \"tip\", color=\"#338844\", edgecolor=\"white\", s=50, lw=1)\n", - "for ax in g.axes.flat:\n", - " ax.plot((0, 50), (0, .2 * 50), c=\".2\", ls=\"--\")\n", - "g.set(xlim=(0, 60), ylim=(0, 14))" + "tips[\"big_tip\"] = (tips.tip / tips.total_bill) > .15\n", + "sns.lmplot(x=\"total_bill\", y=\"big_tip\", data=tips,\n", + " y_jitter=.03)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Mapping custom functions onto the grid\n", - "\n", - "You're not limited to existing matplotlib and seaborn functions when using `FacetGrid`. However, to work properly, any function you use must follow a few rules:\n", - "\n", - "1. It must plot onto the \"currently active\" matplotlib ``Axes``. This will be true of functions in the ``matplotlib.pyplot`` namespace, and you can call ``plt.gca`` to get a reference to the current ``Axes`` if you want to work directly with its methods.\n", - "2. It must accept the data that it plots in positional arguments. Internally, `FacetGrid` will pass a ``Series`` of data for each of the named positional arguments passed to :meth:`FacetGrid.map`.\n", - "3. It must be able to accept ``color`` and ``label`` keyword arguments, and, ideally, it will do something useful with them. In most cases, it's easiest to catch a generic dictionary of ``**kwargs`` and pass it along to the underlying plotting function.\n", - "\n", - "Let's look at minimal example of a function you can plot with. This function will just take a single vector of data for each facet:" + "The solution in this case is to fit a logistic regression, such that the regression line shows the estimated probability of ``y = 1`` for a given value of ``x``:" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 17, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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ZRXzg5J/Z2nf2ZXvdfcsXKdOGhMmmXe0n/SEFjru9fnPLkZOuzraCgdcEM9932TJL1KnFe116vyFwhQ6Qk/08NNYWfzkh40R3FMWsOGcZ5Ek+exBr39mH3+fC49ayvVFNVWis9tIVTh536xbw6oSjKacmerqJD31mi2UWusF2pvFmHnCd8K+l/1zBCWrnQYyNmh4pkXmgZZhOz03XnPqiZTsBqpxilIKVfgjX9/W6Kh+qqmRv3zO3rG6XU2ZxQtfOZqquKTQf6uXT88ay7k8HwLbxuDU8LpV4yllDQlMUvF4Xaro0c6rPrL0nTlWFm/buePa6M+eq8Luy7TrVbf+xt9fb93X3KwUNRd/vO59Hzw4dPNF440IGyMl+Hq67ZFpBzj8ajarAzWcPInN7pri0bE/Gtp1lFuMnuHWrDLgxLZuqgJsDbZHTHN3GspXsWFZVdX5ADNM+be/Y+dvOgzOwsSxQtPQwMMguZQgQ9LuzyyOapkVn78lLLZnRBS5NQUmXCHweHdu2j3sIVF3hobU71i+cNU2hJuhB01S27+vG79Wpr/YeN3IlGjf4yrIZA/rMMj02RXV63+k1bNB1laDfdcrSUT7LTcV663uydp0/e0xJjFIoRaMqcCF/PYjTlStO9FrmQdrf/fs7Jw1dLT19NJYwsuNpfR4PY2p82eO2dkZPOqlAU52aq2WTva23bajw6UTjJmAR9HtJpEx0TeHKRROzt9Dj6gLE4ik6QsnssbKz5ZSjD/b6hnbfa878m1T4XNSaFm3pnqeqOOOK/V5XNqBP9e830M8s02PTVQUrPdEDbGqCntOWjvL9wKpYb32LtV3lSvY0y5HLF07ENC0SKRPbtvvN3T/VawArL5mKS1Pps8YMAH6PxrhaH7qmUB30ML4+QHXQg64p/Y57bM+sH0VxFivXnIN7XCrjan14XDrjan2Mqwtg21AdcHPT0hmsuGgKf33jufzzHYv5v19fyP/79kWcUe/HrauA89Q/U27QVSU9RMoi6Hcdd12Z9sWTBj6Ps/i4pkJ9tS97F5AJtdP9Gw1E09R6blo6g8ZqZxF3VYGaoMdZovE0x8rF+YU4nVHXw82Xgdw2nuy1pqn1XHnhRJ57ex9KeniUz6Ph0lVWfmbagI67ryVEPGml668KuuY82Ap4dSoD7mx9bijrFKz8zLSTbmNT5Xdld36oDriPuy6Alz84xOG2MI3VXnpjxgnrsbm67e67kE3mWMe262R/LxfnF+JUZIudIrJpV3s2nHK12EquAmQ4x+r7NL+c1gqQrWhKSzHMNJPALTLl+M1ejtcEcl2lphgCV2q4QghRIBK4QghRIBK4QghRIBK4QghRIBK4QghRIBK4QghRIBK4QghRICUduKU7glgIMRqV9NTennACRVXwujVcmrNwoRBCFKuSDlzDskgmLKLxlLP+gFfHo2vphbWFEKK4lHTgZti2s11JKpx0tpVxafjcOm5XSVdMhBBlpiwCty/Lsp1dbRMGmq7g97jwurX0AtxCCDFyyi5wM2zAMGx6jSThmFPnDXh1NFV6vUKIkVG2gduXZaW3ukmYeD0afq+OS1NllIMQoqBGReBmWOk9smIJA69bT+9CIKMbhBCFMaoCN8O2ceq8SQO3rhHwufC4pMcrhMivURm4GbYNiZRJ0jDx6JqzzbkErxAiT0Z14GbYNsRTJgnDxOPWqPC50WUsrxAixyRw+7BtiCdMEskYPo9OwOuSSRRCiJyRwD0B28YZ1ZA0CXidh2syjlcIMVwSuKdgWTahaIpo3MAvwSuEGCYJ3AEw08EbiRvS4xVCDJlMuxqETI+3vSdOJJ7CRoYzCCEGTgJ3CDLB29EbJ5Eykc6uEGIgJHCHwTBsusMJusIJLBm8K4Q4DQncYcoMJevsiZNMWSPdHCFEEZPAzRHDsukKxwnHU1LZFUKcUEkH7sG2yEg3oR/bhnA0RU8ogWlJ7Aoh+ivpYWGrXtqJ36Nz8dnjmXFmNUqRPL2Kp0yM3jiVAQ8et6zNIIRwlHTgAuw5EmLP2h2Mr/Nz8TkTmDu5tijGyGZKDF63ToVPpggLIUq8pPClz05j2oQqAA51RPmv33/MT5/YxIfN7VhFcEufWQayozdONGGAVHeFGNVKOnAnjQ3ytStnc8c185g9qQaAtu4Yj7/SzE+e2MgHH7cVRfBalk1vJElPRCZLCDGalXTgZpzZWMHNy2fy3evnM29yLQDtPXGeeHUXP3liIxuLpMcbSxh09iYwiqAtQojCK4vAzRhXF+DGpTO4c2UT86fUouAE72OvNHP/U5vY8kkn9gg/wUoZFp3pGWpCiNElr4H77LPPcsUVV7Bs2TJWrVp13Otbt27l+uuvZ8WKFdx222309vbm5Lxja/18+bIZfHdlE3PTPd7WrhiPvrSTn/92Czv3d49o8FqWM0MtEk8hdV0hRo+8BW5LSwv33Xcfjz76KKtXr+axxx6jubm533t+9KMfceedd/LMM88wefJk/v3f/z2nbRhb6+empTP4znXzmTWxGoCD7REeeWE7//a7bexvDeX0fINh2xCKpuiJpEasDUKIwspb4K5fv55FixZRXV2N3+9n+fLlrF27tt97LMsiEnEmL8RiMbxeb17aMr4+wC2Xz+L2q+cyZXwlAJ8c7uUXq7eyat1O2rtjeTnvQMQSBp0yUUKIUSFvgdva2kpDQ0P268bGRlpaWvq952/+5m+4++67ueiii1i/fj033HBDvpoDwMQxQb5+5Wy+esUsxtf5Adi6p5OfPLGRNW98QiiazOv5TyaZMukKxUmZshaDEOUsbxMfLMvqN/PLtu1+X8fjcX7wgx/wyCOP0NTUxMMPP8z/+l//i4ceemjA56iq8g+pZ1hXV8Gn5o/nvW0trHl9F+09cd75qIUPm9tZvmgSl31qIm6XNujjDpsCoWiShoZg4c+dZ+V4TSDXVWpG+rryFrhjx45lw4YN2a/b2tpobGzMfr1z5048Hg9NTU0AfOlLX+KnP/3poM7R0xMd1gpdU8cGuXNlE+9ua+GV9w4STRg884fdvP7eAZZdcCYLptUXfNaabUNbe5gKn4tymZvW0BCkrW3k6uX5ItdVWnJ9XUMJ77yVFBYvXsxbb71FZ2cnsViMdevWsWTJkuzrkyZN4siRI+zevRuAl19+mfnz5+erOSelayqL543jL244mz9rGoemKvREkjzx6i4eXL2FfS2F/8aLxFJ0hxJYlpQYhCgneevhjhkzhrvuuotbbrmFVCrFypUraWpq4tZbb+XOO+9k/vz5/OM//iPf+973sG2buro6/uEf/iFfzTktn0fnc4smsXDOGNa+u48tuzs50BbhwTVbOXtaPcsXTqQq4C5YexIpk45ei8qAG89IlDeEEDmn2CM9E2AYduxuy9ui358c7uX5t/ZysN0ZReHWVS45ZwIXNY1D1/I3fLm2NkBn59FlJxUFAj4XFV4dSrTIILeopUWua+DHG6yymmmWS5PHVXLHtfO4/uIpBHwukobFuj/t56dPbGLHvq6CtSOzxm5vVBY2F6LUSeCegqoonDezkb/40gIumj8OVVHo6I3zH2t38J8v7qArFC9YW6Jxg55IQha/EaKESeAOgNetc8WFk/juyvnZiRPb9nbxk8c38doHBzEKNH42njDpDiVlw0ohSpQE7iCMqfHz9Stnc8Ol06n0u0iZTpnhgac2sftQT0HakEiZ6REMErpClBoJ3EFSFIWmqXXc9cWz02UGaOuO82+/28YTrzYTjuV/bYSkYdEZimOYErpClBIJ3CHyuDWuuHAS375uPmc2VgDwwcft3Pf4Rt7b0Zr31cgM06YzFCeeMimCHYWEEAMggTtM4+oC3Hb1XK6+aDJet0YsYfDU67v51fPb6OjJ70M1y7LpCSfojcqKY0KUAgncHFAVhYVzxnDXFxcwf4qz/u6ug7389MmN/GHjobyuBGbbzsy03mhSdgcWoshJ4OZQ0O/my5fN4OblM6kKuDFMm7Xv7OPB1Vs41B45/QGGQYaNCVH8JHDzYPakGr73hQUsmjMGcBY9//lvt/DShv15HUIWT8qwMSGKmQRunnjcGisumsw3V8yhvsqLZdu8+v5B/uXpzRxoC+ftvImUSXdYQleIYiSBm2dnja3ku9c3sWTBOBQFWrpiPLh6C+v+lL/eblJCV4iiJIFbAC5d5fKFk7jj6nk01viwbHjtg4P8/Lf5q+1K6ApRfCRwC+iMxgq+c918Lj57PIoCRzqj/Py3W3jl/QN5GckgoStEcSnpwA343OhaaY361zWV5RdM5Par59JQ7dR2f7/hAL9cs4XWPGxm6eyXJptUClEMSjpwfW6NukofNUEPbpdWUjOuzmwM8p3rmvj0vLEAHGiL8LOnNvHqe/tzPkstZVh0h+Oyg4QQI6ykAxecBbo9Lo3aoJuaoBefRy/4PmRD5dJVrlx8Ft+4ajbVFc643cde2skjL2ynJ5LbHYRThp3ejl1CV4iRUvKBe5SCW1eprnBTV+Uh4HOhqqURvFPGV3HnyibOnVEPwMcHerj/yU1s2d2R0/MYpk1XbwJDygtCjIgyClyHbYOmqgR9LuqrvFQGSqPO63XrrLxkGt+8Zj4+j04sYfDo7z/mqdd2kUiaOTuPYdl09cZJGtLTFaLQyi5w+1IVBb9Hp67SR3XQg0tXi35XsHNnNfI/VzYxbUIVAO/tbONnT2/mQGvuJkuYlk13KEEilbsgF0KcXlkHboaigNelUVfppSboxevSirrOWxlw8z+umMWVF05C15xtfR5cs5XXPzyYsyFelm3THU4QSxo5OZ4Q4vRGReD25Xap1FR6qKv0EAy40fXiDF5VUfj0/HHccU1msoTNi+/u5+Hnt9Gbowdqtg29kSTRhISuEIUw6gIX0nVeTSWQLjfUBj14inRY2bi6AN+6dh4L0wvh7DrYy/1P5W7nYNuGUDRJJGEU5fULUU5GZeD2pQBul0ZtpYfaSi9+b/ENK3PrGldfNJmbls7A59GIxg3+Y+0OnntrT07WY3C2Yk+mtweSEQxC5MuoD9wM2waXplLpL95hZXMn1/Ld65uYNDYIwJubj/DLZ7bS2Tv8nSWcnm6K3mhKIleIPJHAPYFiHlZWXeHhG1fN4TPnTkABDrZFeOCpzWzO0ZhdWchciPyRwD2F7LCyKqfO6y2SOq+mKiw9/0y+euVsKnwuEimT//r9xzzz5ic5KTHEE7KQuRD5IIE7AJk6b02lh/oqLxV+F3oRlBumTajiu9fPZ+qESgDe3trCL9fkpsSQSJl0heIyFViIHJLAHYTMLLYKr4v6amcyxUiPbgj63Xz1c7O59LwznBJDe4SfPb2Zj/Z0DvvYKcOZCiyz0oTIDQncYfCmRzfUVfpG9CGbqipcet4ZfO0qp8QQT5r8Zt1Onn9777B7qIblTJBIyqw0IYZNAneYbBt0Ten/kG2Egnfq+Cq+c/18Jo9zRjG8sekw//a74U+UsCybLpmVJsSwSeDmUPYhW7WXYMCNNgLBW+l387Ur53Dx2eMB2HskxANPb2bXoZ5hHTczKy0STxXFg0MhSpEEbh4oKM4sthEaVqapCssvmMjNy2fidWtEYil+9dw2Xv/w4LAWN3cmSDhjdWWChBCDJ4GbR8euVlbodRtmT6rhO9fNZ3ydH9uGF9/dz6qXdhIfRmnABiIxmSAhxFBI4BZAdrWyoI/KisLWeGsrvdx29TzOm9kAwEd7uviX327hSGd0WMeNxg16wjJBQojBkMAtIEUBv1untspL0F+4UQ0uXeX6i6dy7ZIpznKPPXEeXL2FTbuGNzstnjTpCiVlg0ohBkgCdwSoikLA64xqKORwsk/NauSbK+ZSXeEmaVj898sfp4eODT0wkymTrnBcQleIAZDAHUGqkh5OVunB79UL8vT/jIYKvn3d0dlpb2w6zMPPbyMSTw35mIZh0ynb9ghxWhK4RUBVM6uU+Qoycy3gdfE/PjebJQvGAbD7UC//8vRmDrYNfRsf2bZHiNOTwC0iuqpQX+2jrtKH153f4NVUhcsXTuKGS6fj0lW6w0l++cxWPvi4bcjHzGzbE5XFzIU4IQncIqRrCjVBDzVBb957vE1T67jjmnnUVnowTJsnXt3F828Nva5r2xCv5+GoAAAgAElEQVSKJOmJJGX8ghDHkMAtUrYNbl2lJuimpsKb16Uhx9b6+fa185l+hrNT8BubD/PIC9uIDrGua3N02Jgs8SjEUXkN3GeffZYrrriCZcuWsWrVquNe3717NzfffDMrVqzg61//Oj09w5t+Wp6UPhtfevF58vNwzefR+fPLZ7FkgTMleNfBXn4+zPG68aRJd0gWvhEiI2+B29LSwn333cejjz7K6tWreeyxx2hubs6+bts2d9xxB7feeivPPPMMs2fP5qGHHspXc0qes0iOSnWFm5oKT16mC6uqwuULJ/Klz07Dpal0hhI8uHoLWz4Z+lKPScOiozeGYUpPV4i8Be769etZtGgR1dXV+P1+li9fztq1a7Ovb926Fb/fz5IlSwC4/fbbuemmm/LVnLJh285i6HXphdDzseHlgmn13Hb10fG6j760k5ffOzDk8oBlQWconl5tTIJXjF55C9zW1lYaGhqyXzc2NtLS0pL9et++fdTX1/P973+fa6+9lnvuuQe/35+v5pQdBYUKr4u6Kk9eygzj6wN869r5nJVe6vHl9w7wXy99PORhX5Zl0xNO0h2RrXvE6KXn68CWZaH0SQHbtvt9bRgG7777Lr/5zW+YP38+P/nJT7j33nu59957B3yOurqKnLa5WDQ0BAf9d2KJFKFIilQO9jTLqAX+8ivn89hLO/njhwfZuqeT7t8lueP6JuqrfYM7Vm0g+9+WApVBDz6PK2dtHSlD+axKgVxXfuQtcMeOHcuGDRuyX7e1tdHY2Jj9uqGhgUmTJjF//nwArrrqKu68885BnaOjI4xVZlNKGxqCtLWFhvR3FWyslEU4msxpzfRzF5xJTcDF79bv4WBbmH945F1uWjqDyeMqB/T3a2sDdHZG+v1ZR2eECr+bgEfD2TWu9Aznsypmcl0DP95g5a2ksHjxYt566y06OzuJxWKsW7cuW68FOOecc+js7GT79u0AvPLKK8ydOzdfzRklFGdVsjzUdxfNHctXr5yNz6MTjRv86rlt/Gl765CPlxmvKyUGMZrkLXDHjBnDXXfdxS233MI111zDVVddRVNTE7feeiubN2/G6/XyL//yL9x9991ceeWVvPPOO/zN3/xNvpozqmTqu7WVXtwuLWfHnTq+im9dO4/GGh+mZfPbP+zmufV7hrVwTTxh0tkTJ54yZXaaKHuKPZwtAEaYlBROz7YhHE8RjafI1ScdTxo8/koz2/d1AzD9jCpuuHQ6Ps+JK1QnKikcS1HA69YJ+nRUtTTm48itd2kp65KCKA6KAkGfi5oKb87G7nrdOl9ZNjO7+M3HB3r4xeotdPTEh3xM24ZYwqC9N0EknpKFzUVZksAdJdwuldrMTLUcHE9NL36z8pKpaKpCe0+cn68e/maVlmUTiqbo6HbG7UrsinIigTuKqIpCdYWbqmDuZqqdO6OBb1w1h4BXJ5Ywefi57by7reX0f/E0jPS43a5QQtbZFWVDAneUsW2yIxlytc3PpLFBvnXtfMbW+rFsm9V//ITn1u/JSX09mTLpCsWJJGSWmih9ErijlIKzzU9dpQeve/gjGWqCHm5bMZdZE2sAeHPLEX794o5h7RCcIUPIRLkYcOC+/vrr/P3f/z3/+I//yNtvv53PNokC0lRnQZzqoAdtmL1dj1vjK8tm8GdNzsO0nfu7eXDNVtq7Y7loanYIWUKGkIkSNaDAfeCBB7j33nsJBoN4vV7uuecefv3rX+e7baJg0hMmKj3DHrerqgqfWzSJ65ZMQVUUWrti/NOv/8TeI7kZjmNYzq4SPdLbFSVoQONwly5dytNPP00w6Iw76+np4YYbbuCFF17IewNPRcbh5kdvNEk0PvxSwO5DPax66WNiCQNNVbj+4qmcPb0+By106KpCMODG69ZyNsZ4MIrhs8oHua6BH2+wBtTDra6uJhA4uvhIZWWlrOxVxir9Lior3MN+oDZlfBXfumYeY2r9mJbN468289KG/eRqrk2mt9sdlt6uKA3aD3/4wx+e7k27d+9m1apVBAIB9u/fz89+9jP8fj+6rrNr1y6mTp1agKYeLxZLjkjPJp8CAQ/RaHKEW6Hg0lR8Hg3Tsoe1EI7fq3Px+WfSvK+LrlCCPYdDtHXHmTWxZtg14wzDtEgkTTRNxaUX7jlwcXxWuSfXNfDjDdaASgo333zzyQ+gKCNWz5WSQiHYxJImoUhqyL3I2toAbe0hnnljT3bBmzMbK/jKshkE/e6ctVRRnK2CKnz5WZj9WMX3WeWGXNfAjzdYspZCkSnWb3bDtOmJJEgNYRJCZi0F27Z5c/MRXnh7LzZQXeHmlstnMbY2t+UpXVOoDHhw57m3W6yf1XDJdQ38eIN1yvVwf/SjH/GDH/yA22+//YSvP/jgg4M+oShNuqZQW+khFE0Riw9tyq2iKFzUNI66Sg+PvdJMdzjJL9ds5YZLpzEzPX43FwzTpisUJ+BzUeEt/UXORfk4ZeBeeOGFACxfvrwgjRHFTUGhKuDG7dIIRZJDXpZx9lm1fHPFXP7zxR30RJL8+sUdXHXhWVw4b2zO2mrbEI6mSCQNgj43nhEaySBEX6e85/rsZz8LwN69e7n22mv7/W/r1q0FaaAoLtmpwcMcszu+PsAd18xjQn0A24Zn1+/hmTc/GdbauieSMmy6wgm6womcH1uIwTplD/f++++nt7eX559/nnA4nP3zVCrFG2+8wd133533BoripKoqNUE3PeEk8eTQNpasDLi59fNzePzVZj7a08XbW1vo6k1ww6XT8eRgunGGbTuz1FKpOMGAG5/0dsUIOWUPd8GCBVRXV6OqKtXV1dn/jR07lh//+MeFaqMoUgoKVRUe/N6hb43ndmncuHRGdm3dHfu7+eUzW+kOJ3LVzCzTsulJz1KT3q4YCQMapbBp0yaamppO+Nq99947YlvjyCiFYmETihlEYqkTvjqQHR8ANmxvZfUfP8GybYI+Fzcvn8kZjfnZmVlVFQI+F36PhjLEFYJL87M6PbmugR9vsAY0buZkYQvwzjvvDPqkotwoBH06FX7XsBY3P39WI1+9YhZet0YoluJfn/2ILbs7ctbKvizLJhRJ0pHeT02IQhj2QMUSHsYrckoh6HM5oTuM1J06oYrbr5lHbdBDyrR49Pcf8/qHB/P2fWaYNt2hBJ3phc5lFTKRT8MOXEW+Q0WabUOFz0WF3z2s4Gqs9nHHtfOYNMa5ZXvx3f08/YfdGGb+dn7ILHTeHU5iWrLDhMgPWYBc5JRtQ4XXmV47nNANeF18/arZnD3NWV3svR1tPPLCdmKJ4a9idjKZjSw7ehKEYkOfyizEyUjgipzL9nSHGbq6pvKFz0zl0vPOAGD3od5h7w48EJZtE4ml6OiJE00aMoRM5IzUcEVe9A3d4VAUhUvPO4MvfXYaupbZHXgLnxzuzVFLT860bHrDSTpDcanvipwY0ADKQ4cO9ftaURS8Xi81NTX87//9v/PSMFH6MqHr8rjoYnhbQC6YVk91hYf/XLeDaNzgV89t47olUzhnRkOumntSKcOiKxQv6EpkojwNKHC//OUv09raSiAQQFVVQqEQmqZRU1PDT37yk3y3UZQw24aqoIcuv4twLDWs2/NJY4N865p5/MfaHbR1x3jitV2098S59Pwz8h6Ctg3RuEEiaVLhd+HL4Uw4MXoMKHAXL17MwoULueaaawB48cUXefPNN7nhhhu45557eOKJJ/LaSFH6KnzOluzDWVcXoLbSy+1Xz+W/fv8xzQd7ePWDg7T3xFh5ybSCLD7uzFZLknBpVFbL+F0xOAP6Dt2+fXs2bMFZPWzLli3MmTOHVOrEs4uE6Mu2wefWqQ560Ie504PPo/Pnn5vJBbMbAdi8u5N/+91HhAq4S0E8ZdLREyOSkIdqYuAGFLiGYbBz587s1zt37sSyLBKJBIaRv2E6ovy4dZWayuGHrqaqXH3RZK5YNAkF2N8a5hert3CkM5qbhg6AbUMokqQrFCeZshhelVqMBgMqKfzlX/4lN998M9OnT8eyLPbu3cuPf/xj7r//fi677LJ8t1GUGU1VnbpuKDGstTCyC5pXeXns5Y/pDid5cM0Wvnzp9JwuaH46ScOiKxzHpWsEvDpulzasKc6ifA14i53u7m42bNiApmmce+65VFVVEQ6HqajIz+IiAyGL15SGk11TMmXSFU7k5Jb8cEeEX691FjRXFLjywklcOHdsXmdCnmxRHpeu4Pe68LqHvjDOSCrH70EojsVrTtnDXbNmDVdffTUPP/xwvz/fs2cPAF/96lcHfUIhMtwujcqAm97I8HdfHlcX4I5r5/GbF3dwoC3C79bvpa07zlWLJ6GphZ3fkzKcB2sRVcHn1fG6NXRNlVqvOHXg7t27FyBbvw2Hw+i6jtfrzX/LxKjgc+tOLTQ6/NCt9Lv5xufn8OSru9jySSfvfNRCR0+cL182HZ9n6Gv2DpVh2YSiKcKxFB5dw+9z5X1jS1HcTvnp33nnnQDcdttt7Nq1i5dffpl169Zx8ODB7GtCDFcgs/ZCDo7l1jVuuGw6l5wzAYDmgz0FmQ58KrbtjGroCsUJxVLY8nBt1BrQr9u/+7u/Y+XKlWzcuJEPP/yQpUuXyvY6ImcyM9IC/tzssKsqCss+dSZf+MxUNPXodODdh3pycvyhsm2cNRp64yRTpkwVHoUGFLi9vb188YtfxOVy4XK5uPnmm2lvb89328QoklllLDDMtRf6Omd6A9+4ag4Br04sYfCr57azYXtrzo4/VEZ6Y8vucBJLloIcVQYUuBMnTmTjxo3Zr7dv387EiRPz1igxWjmLmA9nj7RjTRob5FvXzmNMjQ/Ltnn6D7t57q09Iz66JbMUZHtvgkhcygyjxSm/sz//+c8DEIlEuPHGG5k5cyaqqrJ9+3amTp1akAaK0Sfod2PZNvFEbqbO1gS93Hb1XB57pZkd+7p5c/MR2rvjfOnSaXjdhX+Y1peVfrAWixsE/C68Ll1KDWXslN9tf/u3f1uodgiRpQBVfg+QyFnoet06Ny+bydp39/HGpsPs2N/Ng2u2csvymdRWjvyoGyO9RkNESxHwSfCWq1MG7gUXXFCodgjRj6JAVcCDQjJnuzyoqsIViyYxpsbH6j9+QmtXjJ//dgs3Lp3OlPFVOTnHcBmmBG85k0GBomgpQGXAnfMxtOfNbORrV87G79WJph+mvfNRS07PMVyZ4O3ojRFLynol5UICVxQ1BagKuPG4crv+7ORxlXz72nmMrfVj2TZr3viEZ974pOg2kMwEb3tPjKgEb8nLa+A+++yzXHHFFSxbtoxVq1ad9H2vvfYan/3sZ/PZFFHiqirc6Hpu761rgl5uWzGX2ZOchW7e/qiFh5/fTjRefMFmmM52P+3dTvDKqIbSlLfAbWlp4b777uPRRx9l9erVPPbYYzQ3Nx/3vvb2dv7pn/4pX80QZUJVFKoDXtRhLut4LI9b46ZlM7j47PGAs1Hlz1dvpqWrcMs8DoaR3metoztONCHBW2ryFrjr169n0aJFVFdX4/f7Wb58OWvXrj3ufXfffTff+c538tUMUUZ0TaE64Mn5djqqorD8gonZjSo7exM8uHor2/Z25fQ8uWRYNr0RJ3gjErwlI2+DEFtbW2loOLrBX2NjI5s2ber3nl//+tfMmTOHBQsWDOkcdXUjtzRkPg1l2bdil8trqo4l6Qkncx4xn7kgwJQza/jF05voDiX4zYs7WLFkKpdfOOmkyzzW1gZy3IqhMRVnerTf50bLwV1AOX4PwshfV94C17Ksft+ktm33+3rnzp2sW7eORx55hCNHjgzpHLIebmnIxzUZSSMnyzoeK+jRuOPquax6aSf7WsKs+cMudh3oYuXFU3Ef8+DuZOvhjpR2QNcVKnxuvC4VhrgcUDl+D0JxrIebt5LC2LFjaWtry37d1tZGY2Nj9uu1a9fS1tbG9ddfzze/+U1aW1u58cYb89UcUWZ8bp2qityXF8CZ6faNq+Zw/kznDm3L7k4eXLOVzt6RW3FsoAzDpjuUoCuUJGlYMoa3yOQtcBcvXsxbb71FZ2cnsViMdevWsWTJkuzrd955Jy+++CJr1qzhoYceorGxkUcffTRfzRFlyOvSqK305nz0AoCuqVy7ZAqfX3wWqgJHOqP8/Ldb2HVwZFccG6hEejnIrlAivd+aKAZ5C9wxY8Zw1113ccstt3DNNddw1VVX0dTUxK233srmzZvzdVoxyuiaQm3Qm/NxuuDsmXbhvLH9Jkk8/Pw23th0mAHuTDWibBviSSd4O3rjxFOyrftIG/CeZsVIariloRDXZGPTHUqSyFOodIUS/GbdDg53OMPFzp5Wz9eunkc4VPxlhr707LY/+kkfrpXj9yCUeQ1XiEJSUKiqcB/3YCtXaoIebrt6Lgum1QHwYXM7/+8/N9BVYoGb2fanozdObzRJypQ6byFJ4IqyoSoK1XkMXbeu8cXPTOOKRZNQFdjfGuZnT2/h4wPdeTlfPlmWTTRu0Nkbp6s3U+ctr7vFYiSBK8pKvkNXURQuahrHV6+cTYXPRSxh8MgL23n9w4MlUdc9Vna/tXCcznRJptzKdMVEAleUnXyHLsDU8VV8/39cwISGALYNL767n1Uv7SReogvM2DYkUyZdoQRtXVHiKVO2dc8DCVxRlgoRurVVXr75+bmclx6v+9GeLn7+2y1Fuw7DQBmWM5a3ozcm6zXkmASuKFvZ0NXz923u0lWuv3gq1/7Z5OwOwb/47RY2Npf+JquG6azX0N4dJxJPYUqpYdgkcEVZUxWF6qAHVx5DF+BTs8dw24q5VFe4SRoWj73SzLPr92CYpT/pwOwzsiEUS2FYMrJhqCRwRdlzeroeXHmYkdbXGY0VfPu6+Uw/w9mu560tR/i3331EdziR1/MWimXZRGIpOnridIedqcMysmFwJHDFqKCpCjVBD7qW39ANeF38+eWz+Oy5EwDY1xLmZ09vLsmhYyeT2eK9K3R0ZIPE7sBI4IpRQ1VUqoNe9BwvYn7ceVSFy84/kz+/fCY+j040bvDI89v5/Yb9ZTXkqu/Iho5eZycKS4Y2nJIErhhVdFWhOujNyZqxpzNzYg3fvX4+ZzQEsIFX3j/Iwy9sIxRN5v3chWYY6S2AeuKE4ylMqfOekASuGHV0TaGm0pv38gJAdYWHb66Yy+J5YwHYdbCXnz21mV2HSmPVscGyLJtwNEVHT0LqvCcggStGJV1VqC3A6AVwlnq8avFZ3HjZdDwujVAsxa+e28bL7x0oqxJDX5Zt96vzykQKhwSuGLVUVaUm6Mnr5Ii+5k2p4zvXz2dCvTM77eX3DvCr57fRW4YlhoxMnbfvRIrRXOeVwBWjWiFmpPVVV+nltqvncuFcp8Sw+1AvDzy5iZ37y2cUw8lkJ1L0jN7xvBK4YtQrdOjqmsrnP30WNy2dgdetEYk7C+C88PbespgocTrHjucdTUtESuAKQeFDF2Du5Fq+e30TE8c4u0//cdNhfvnMVjp6SmuN3aHKjOfNLhE5CvZgk8AVIi0TuoV4kJZRE/Rw6+fncsk5E1CAg20RHnh6Ex/sbDvt3y0X2SUiQ3E6exNlPZFCAleIPlRFoabCk5eNKU9GUxWWfepMvnbVbCr9LpIpiyde28Vjr3xMLFGayz0OhW1nNr9M0NFTng/YJHCFOIaqKtRWFGbIWF9Tx1fx3ZVNzJ5UA8DG5g4eeGoTnxzuLWg7ikG5PmCTwBXiBDJDxvKxG/CpBLwuvrJsBldfNBmXptIdTvJvv/uIde/uGxUP1I5Vbg/YJHCFOAlVcRa88Xn0gp5XURQWzhnDt6+bz7g6P7YNr314iAfXbKW1O1bQthSL4x6wleiW7xK4QpxGZcCN31vY0AVorPFxxzXzWLJgPApwqD3Cz57axPotR8qutjlQRx+wHV0wx7Tskun1SuAKcRoKUOl3EfC5KPTPta6pXL5wIt/4/ByqK9wYps3v1u/hkee301Mm6+wOhQ2k0gvmdPSWzvq8ErhCDIhCpd9Fhd81ImefPK6SO1c2ce4MZ/+05oM9/PTJTby/s60kdwvOJcuyS2Z9XglcIQbItiHg1Qn4RiZ0vW6dlZdM5SvLZhDw6sSTJk++tovfrNtZlks+Dla/9XmLdFhZ4QtTQpQ0haBPH9Fe5Zyzapk4JsiaP37C1j2dbNvbxd4jIT7/6bNomlqHUioFzTzKDCsLxxS8bg2ve2Q/swzp4QoxaApBv7vgQ8b6qvC5uHHpdL74mWl43RrRhMFjrzSz6iXp7fZlWTbRuFNuaO2MjviuFBK4QgyBAtRUegs+ZKxfGxSFs6fX870vLGDWxGoAPtrTxU+e2MQHH0ttty/bBsM6uitFbzTzkK2wJHCFGCJNVaj0u/F6Rq6nC86wtZuXz+QLn5mKz6MRSxg88eoufr12R9nsGJxLfXu9mTV6CzW0TAJXiGFQFKjyF35yxPHtUDhnegPf+8IC5p5VC8CO/d389IlNvL119I7bPRXbTg8tiyTp6InTFXImVNh5HOMggSvEMCnKyE2OOFbQ7+amZTP48mXTCfhcJFImz7y5h3995iNau0bnLLWBsGybeNKkM5SgrTtdckhZOd8WSAJXiBzoOzmiGMyfUsddX1jAeelxu3tbQjzw1CZe2rCf1AjULktJpuTQGYrT0RMjFEvlrN4rgStEzjhDxir8rqKYaur36lx/yVS+duVsais9mJbNq+8f5P6nNtF8sDx3Dc41I714TlcoTntvjEjCGNYW8BK4QuSUQtDnIhhwF0XoAkybUMX/XLmAi88ej6oodPTE+dVz23j8lWYZQjZAtg2GYROKJOnoSdDVmyAaTw36OBK4QuSYbYPfrVNd4UEtktR16SrLL5jId66fz6QxQQA+bG7nvsc38tbWI2W7XXs+WLZNPGUSjQ9+cXgJXCHyxOPSqKn0oKvFEboAY2v93LpiDtctmYLP40wPfvbNPfx89Rb2tYRGunllTwJXiDxyaSq1lZ6Cbk55OqqicP6sRv6/Ly3g/JnOQ7VD7REeXLOVp17bRW9Exu7miwSuEHnm7B7hHvGxuscKeF1cd/FUbr96LuPr/AC8t7ONv3voLd7cfBjTktEMuSaBK0QBKChUBVxFM4Khr4ljgnzr2vlcfdFkp8yQMHnurb3c/+Rmdu7vHunmlRUJXCEKRqHC66KqwoNaRHVdcDbOXDhnDH/xpQUsOWcCigJt3TEeeWE7/7F2O22jdGufXMtr4D777LNcccUVLFu2jFWrVh33+u9//3uuvvpqVqxYwbe+9S16emRsoCh/XpdGbdBb0K3YB8rvdXHj8ll857r5TB7njGbYsc+ZIvzs+j1DejIvjspb4La0tHDffffx6KOPsnr1ah577DGam5uzr4fDYX74wx/y0EMP8cwzzzBz5kweeOCBfDVHiKKiawq1QS9ed/E8TOtrXF2Ab1w1hy9fNp2aoAfLtnlryxF+/N8f8MdNh0blDsK5kLfAXb9+PYsWLaK6uhq/38/y5ctZu3Zt9vVUKsU999zDmDFjAJg5cyaHDx/OV3OEKDqqolBV4RmRvdIGQlEU5k+p43tfWMDlCyficWnEkyYvvL2P+x7fyMbmdlkUZ5DyFritra00NDRkv25sbKSlpSX7dU1NDUuXLgUgHo/z0EMPcdlll+WrOUIUpcwaDJUVxTMz7VguXWXJgvH8xQ1nc+HcsaiKQlcowWOvNPPz326h+YCUAgcqb+NULMvqt9WHbdsn3PojFArx7W9/m1mzZnHttdcO6hx1dRXDbmcxamgIjnQTcq4crwlye12xRIruUIJimPRVWxs4/s+AP59QzeWfnszq15v5YEcbh9oj/Or5bcw6q5ZrLp7KWeMqC9/YQTjRdRVS3gJ37NixbNiwIft1W1sbjY2N/d7T2trK17/+dRYtWsT3v//9QZ+joyNcdlMSGxqCtLWV14yfcrwmyM91qZYzXz+RMnN63MGorQ3Q2Rk56esu4AsXT2XhrEbWvruPPYdDbN/Tyb17Opl7Vi1LP3UmjTW+wjV4gE53XYM1bszgf7nkraSwePFi3nrrLTo7O4nFYqxbt44lS5ZkXzdNk9tvv53Pfe5z/OAHP5CN74TAGZ5VnanrFvmPxMQxQW69ag5/fvlMxqUnTmzd08lPn9zI468009ETH+EWFp+89XDHjBnDXXfdxS233EIqlWLlypU0NTVx6623cuedd3LkyBE++ugjTNPkxRdfBGDevHn86Ec/yleThCgJiuLUdV26SiiSxCziuzhFUZg5sYbpZ1azeVcHv3/vAB09cT5sbmfTrnbOmdHAZ86ZQG2ld6SbWhQUu4R3mpOSQmkox2uCwlyXZVv0hFMFLTEM59bbtGw+/LiNl987QHfYWfpRVRTOnVHPJSMcvPkoKdRXD650UlyTu4UQ/aiKSnXQQziWIhpP5XzLl1zTVIXzZjayYFo97+1o47UPDtITSbJhRxvv72xjwTQneBsGGVTlQgJXiCKnAEGfC4+u0htJYpTAXZ2uqSycM4bzZjb0C94PPm7nw4/bmTeljovPHs/4+pEdNVBoErhClAi3S6Om0ksomiSeHLlRDIPRN3g/+Lid1z84SGcowebdHWze3cHMM6tZcvZ4zhobHBUPziVwhSghWnoUQyRhEImmSmaml66pfGpWI+fOaGBTczuvbzxEa1eMHfu72bG/m4ljKliyYDyzJtUUzS4Z+SCBK0QJCnh0PLpGTyRRUrvwaqrCOTMaWDC9nu17u3j9w0Psbw2zryXMb9btpL7Ky6fnj+PcGQ249PJbzFACV4gSpWsKdZVeQiXyQK0vVVGYc1YtsyfVsOdIiD98eIgd+7tp74mz5o1PeGnDfhbOGcPCOWOo9LtHurk5I4ErRIkL+lx4XBqhaIKUUUKpizOOd/K4SiaPq+RIZ5Q3Nx3mw+Z2onGDV98/yB8+PETT1DounDeWMxpKfyq/BK4QZcCtq9RWem7cFJ8AACAASURBVAnHjJLr7WaMrfVz/SVTWXrBmbyztYV3trUQjRt88HE7H3zczpmNFVw4byzzJteia6VZbpDAFaJMKCjZ3m44liI5gusxDEel383ST53JJedM4MPmdt7acoQjnVH2t4bZ/0ozz/lcfGpWIxfMbqS6wjPSzR0UCVwhyoxbV6kJeogmDCKxVMnOxnTpzsiG82c28MnhEG9tPcK2PZ1EYile++Agr394kJln1nDBnEZmnFFddNsWnYgErhBlSMEZyeBzqYRiBvGkUZJlBnDqvFPGVzJlfCU94QTvbm/lT9taCcdSbN/XxfZ9XVRXuDlvZiPnzWwo6l6vBK4QZUxVVaor3CSSOqFYsqSGkJ1IVYWHpeefyWfOmcC2vV28u62FXQd76Q4nefm9A7zy3gGmn1nFeTMbmT2ppuhqvRK4QpQ52wa3S6XW5SWWMAiXcJkhQ9dU5k+pY/6UOjp64mzY0cp7O9oIx1Ls3N/Dzv09+Dw6C6bVce6MBiYUyRRiWS2syJTjylrleE1QutdlWdYpywy5XlWrUEzLYse+bjZsb2Pn/q5+O2c01vhY3DSeGRMqc1ZykNXChBCnlS0zpHQi6dEM5dBt0VSVOWfVMuesWkJRZ6Gc93e20doVo7UrxurXd6EAZ42r5OxpdcydXIffW9gIlB5ukSnVXtOplOM1Qblcl00iZRGOpbL13VLt4Z6Ibdsc6ojy/s42tuzuIBRNZV/TVIXpZ1TTNLWO2ZNq8Axyy3rp4QohBknB49JwuzQSKZNwLDnSDcopRVGYUB9gQn2Ar3xuNu9uPsSHze1s29NF0rCyoxx0TWHmmTXMm1LLrImDD9+BksAVQqAAXpeGx+XDX+Em1Bsr+RENx9I0lZkTa5g5sYZkymT7vi42Nnewc383hmmzdU8nW/d0omtOz3fuZCd8c1l2kMAVQmQpQIXPTW2ll2TK7FdqKCdul0bT1HqaptYTTxps29vF5l0dfHygB8O02ba3i217u1AVmDK+itmTaph9Vs2wH7hJ4AohjqNAttSQTJlE4gYpwyzZyROn4nXrnDO9gXOmNxBPGmzf182W3R18vL+HlGnRfLCH5oM9PLt+D+Pr/MycVMPsiTVD2iZdAlcIcVKZ4PW4VJKGTSxhkEiaJbPw+WB53TpnT6vn7Gn1JA2T5gM9fLSnk+17u4kmDA51RDnUEeXV9w/y8Pzxgz6+BK4QYgAU3LqCx+XGMC2iCZNYwii7UUJ9uXUtO8zMtGz2tYTYtreL7Xu7aO+JD+mYErhCiAGzbWe8a9CnEvDqxJImsViqJDa2HA5NPbpu7xWLJtHeExvScSRwhRBDoioKAY9OwKMTT5lEy7jOe6z6qqFt8y6BK4QYNq9Lw+fWSBoW8WT5lxuGSgJXCJETtg0uTcXlU6nw6SRSFrG4QcqwyvYh22BJ4Aohck5ByfZ6DdNywjeRwjDtUVFyOBkJXCFE3mQesvk9Kn6PhmHaJFImsaSBOQrDVwJXCFEgCrqmoGsqAa+LlGmRHGXhK4ErhBgRLk3FpTnDywzLJplyHrgZZVzzlcAVQowwBV1V0D3p8DVtp/ebNEmknFlt5ZK/ErhCiKLh1HwVNFXD69KwgZRhkTItEmXQ+5XAFUIULQVn23e3rlKR7v2aljPqIZkyMS27pMb7SuAKIUpC396vW9dQ/C5My8YwbFKmSSJlYZgWtmUX7ZZBErhCiJJk2870YrdLwe1SqfCBZdukDKcGnEqZ2UkXxVKFkMAVo8amXe2sfWcf7T1x6qu8XL5wIk1T60e6WYM2nOsY6N8txX8r23YmXLj///bOPciK6t73n9Xd+zF7ngwzPBVMhhAMCWriDeDxCkhlJI6AUiQSPWCK3NzklhUq/CHxVUklZUqDVHwkxqSSaJIbLI/h4gPUCSkip3IAx4sa5+iFg47CyGuYYZ772bu71/2jdzezmdcehtkzG9enaqqmd7/WWr3Wt3/rt35rtSEIGhoibOBI92u+li2JhAyiAXcihhwjEVaCO8acW7FvrZ3DzKrIWCerDyNpgAcOtvBvuw6NaeNtbGpj698Oo+sakbBBZ8xk698OA4x7IenNSPKR67kHDrZcFGXlCjAYmoahwYSyMLaZRkqwbAdbSizLIW25rgjHcT86OZo6rAR3DOmvAfxmeyNrls7KqWJfSCvEu9aJthiWLdF19+N7y+bPABiwAQKDpqGxqY1nd38AgjFtvPUNzei6RijgfhwwFNBJZX730jGerLrGpja27WmipT0OCCZPCLN6yayc8jEQuZ67fc8H532P8Y5n1Rq6hgGEjLMfi3Sk9AflLFtiZ6IjpATJhbGIleCOIf01ANtxqG9o9vcPJmQXygrxrmXZklgyDQiw4FR7nK1/O0wooPvpjCfTdMfd71w9+cK7hAI6kaIAIPnwRDePb2tkWlUxqxfXMK+mivqGZgxDoGuan8exaLxtXUkiYYNEyqI7ZmLZDromiCfSWWVwoay6xqY2tr32AS0dSUAyuTLil0ku5z71yiFiCRMQCCE52Z7gqZcPAlBRmv1draChDbogtvciOfxxJwFDo7wkRFHIGPDclvY44YA2rHucL+PpJacJ1x0Bbt6FcAXakRLbyfzZDpYlsRzbNZ+HiRLcMcQTgd6EAjrH22JDNv7hWjq9K3Y4qIOUJNMOVeVhook0uq7R2ZNwu1VIBBBNpKmqKKKlPc7UqmLiyTTtPSkEoAsyo8Luaz+WshC4n6U+3ZHw09vWlaS8JOgfB7k13oEsvHk1VefVSKvKw7R0JOiJuyKmCYFlSxxp+9cbbnnu3tbIydZonzQ0NrXx1MsHiSUtv9GePBPjqVcOsf7GOTlZosmUhRAaWqZRO0iSpo2ha5iW46cTwLTc59gfL/3Hh7y8vxlHOn5Ma3t3ksqyMEUho99zJ1dGaO2I53yP82W8u3k8i1YTAk0XBHQgUyZCwMSy4ZeHEtw80Z9IVJWH6YyZWRU7lbaxbTlk4+9PrAcSst4VWwi38YNgQmmQU+1xOqMmArJ8VxKwbElbRxzLgVNn4kjcl7omBI4EgUQI6Emk0TVXxBCuRaDrGvUNza6gJ9O+hQtDN97BLLzrvzidv799gmTKwnYcOqIp3v8//0kkbPgukP4a67L5M3hi+7uZkW2Jk8lMcdjwn8twyzMU1PsVivqGZpKmjRD0KhNBMmXlZNm3dSWxHSerzKSUmLbEzPgcSyIBSiMBTMvBth3f9XNuOl9+vdl9HpqGtB03346kK5pC00Sfcxub2uiOpTjdHsfQNcpLgui6NuA9+rtnri/DkbhHxhopXeNiuGhDH6IYKV4D7YyZWQ10zowKbNshlbaR0l1FybIkhu6Osvbm3MZfVR6mJ56mpT3O8dYoLe1xeuLpfoWsd8XuibsuA9uRtHWl6IyaAAMOFFgOGJp7fNpyR3fdOHOJYWiuf0ue7V050vWPeeldNn8GliWz8jhU4+1t4XlCLgQkTZtXG5qJJUxX8IXAtt2uXk88zYcnunnqlUM0NrX1uea8mirCIR1D1/xzBdATT9N0vJtwZvFsgETK8ss1nrT6XM8rz3DQQAjhu1w8V5ArmDKrx6kJd7Q8l255VXkYXdPw4vndLq37fyigU1xkEE2k6exJUVEc5PavzO5XoOobmrEd6VvJhu5azJ6le+65Xj21bYfKMtdtcaYriaGJAe/Rm4HqeX/Pwyunoer5UPfb/MxbbHpyH5ufeWvA+4wnRtXC3bFjB08++SSWZXHHHXdw++23Z+0/ePAg9913H7FYjKuvvpof//jHGMbFZ3QP9CY/1NzJ7V+Z3SdK4d92HfItX8/nmLZsQgGDl/7jQw41d9Lc0kM8ZbujsLogbTmYVopFV0wF3K7krv97jKRpISWUFQcIBVxRGe7MnIAhKIkEM0IC4aCgrNhrkAm324zXBZOUFYd8K3ZeTRXl5ZE+UQoAm595q89vnq/RFW6BJ+UCfD+aJnC7yOdkw5EQS5hs29PUrzhMryqmM2Zi247vGgG3e9gdM0EIUqZNdyzl3lG4dv8Tz79LUVBnWsaCHsoarioP0x0zcaTMehHpmpZTt3zZ/Bk89coheuIm1jl5LCsOEAkHCIcMKoqDbLrtiwNep60rSUDXsB3HT4eR2f7MJRV9zu39ItE1jeKiIKm0TUlRICeLc7gWa389vFxdF+PdHTEQo6ZuLS0tPPLII2zfvp1gMMiaNWuYP38+s2bN8o+56667eOCBB7jyyiu59957ee6557jttttGK0ljxmANdF5NVVYFqa4upavLHazq7qfxv7TvCOXFoV7CA+mMf9TQBQcOnQbgpX1HEAh0TZC2JV2xtNsFOo+h1mTaYVI4wEQpae9OUVEaImi4vsTioiABDTqiJoYuKC8J9dtVjcZNuqImXdEUf951GDNtEykK+I3lqZcPghBEwgYBQ3etfVti6G63XOLOMrIdyUDvC09YXL9vX5bNn8HWvx2mK2oiM9eRgKYJNE1QEjZo7zGRCAKGRsjQiKUskK6rx2vUnjUcHEAols2f4ftwHX90WxIOB3Pqls+rqWLuzAr2/7/TWb/37sHmYglWlYexbIeehOOLvyNBE1q/6RiOW6U/hnu+9zxSmeMGc4+cS6G6I0bNpbBv3z4WLFhARUUFkUiEG264gfr6en//8ePHSSaTXHnllQCsWrUqa//FRFV52O+uegz2Jp9XU8XtX5lNyrSRCAxDo7I0hJ0J7E6kLLfL2qsBBnR348SZOK+83uyLrRACPfOUu6LmecUY+qE0hk4kpHO6PUFzS5TT7Qnmzqzg4TuvZcPqeXx6WhlSktVVbWxq47Fn3+JkewJHOqRtSVtXku54mngi7XfJk6ZNMmURCuiUFQfw3JfuwJYrWro+uM/MHVFmQEH2ytXK+DJdEXf9oz2JNF3xNJGwwSXVxUypjJCyXAH3hN5zHSAl8USaj1t6OHY6ysm2GPFE2heKeTVVrK+7nKmVRQgEmoCpE4tzGjAD13o78F9t6Jrwnyu4Vn533I2qyMUSXDZ/BgFDo7QogK5p2NJ9udQt7N+vOtx6OtLzvedRURwknrQGdY+cy0jdEWPFqFm4p0+fprq62t+eNGkSjY2NA+6vrq6mpaVlWPeYOLFk5AnNA7fWzuE32xuxHXd0OZW2Qbq/V1eX9jm+urqUpdWlPLP7A6YWGb5zvqMnha65IhQwdJKm5Z+jaRqOlGgafqV3pHSDvnUdsLEddw1Sd5bNWb/gUHj+x+5oyh0M0gRBIbAlvHGolU9depxv1M5h6YJP9Tl397ZGogn3BXEu3fE0CdOiqrzIF1UvbMnQNc50JTEtByEElWUhzLRNMmUP+dIwdNFvuQIsrS7ltzsPkjQtjF6DUpbjivDU6hI6uhOEAzq27fjWdcDQCRgaKdPiREfCfQlJ1+oUQkPXNcrLI/59l1aX9lse4E4s2L7nA1ra40yujLBq8SyuvnxyVpk5UvoulYDw/Odg2w62G0oyYP3pndfy8gjb93zA6fY4k/q5V2+8epo0rZzq6UDn51rPhyqnwej9nDySpsXU6pJB05pLPkaTURNcx3GyRvGklFnbQ+3PhTNnouNqpaCBRmhnVkVYs3RWn30zqyK0tvZkXaO6utT/rbIkmOXj0nUNy3IIGILSSIBEyhVcIch0tV0h9ZAS0raDgfDnnRcFdRKmO4Bl6CIrXGsgggGNknCA1o6EazELgSPdVZqkhGd3HWZSWahPnHB9QzP/9XHnoF4My5Kc7kz4lmQ687LwBDqga9RMKyMaN9E0g4RpkzLtQdNr2ZLdr380oKWkC7dwertlkBJdwNKrpvkxybqmYdkOQkBpJEBXNEV7d8pfREUI4Zd7dyzFw//7AP9zxecGtdB6+x7DAY3Wjji/2vbPLMvuZGsUQxfYjhtR4ZYN2I7bwykJBwasP+cysyrCxtXzsn4b6Byvnu5++0RWuFsu9+l9fi71fKT0fk693RFLr5o24L16t60LwfmI96gJ7pQpUzhw4IC/3drayqRJk7L2t7a2+tttbW1Z+wuNoZz45/pqc+FcH1dRUKfbsikKGYSDepZgOhkLrT+8Y4rDOhWlIfR4mo6eFAPHJrgEdI26hTNYce2nAfgfP/s7uib8GTkejpRZee1dFkOZoxn3Jg6SSDjgRzG0dyfxQtc6Yyan2+NUloUoiwRoHURwNeGK4WADKNOqimnpSJBIWVi2g6FrFIVCTJ5QlBXnHEukcRxJSSRAOKhz6kwckH6EAxL3peO4L69k2h5y4CYX32NVeTgTeWHiSJGJMhAEDMGdt3x+VH2U82qqWLrgU32EKddwr/Op5+ebThh8ctB4ZNR8uNdccw379++nvb2dRCLBrl27uO666/z906dPJxQK8eabbwLw4osvZu0vNHo3pP5Chc6Hc31cUyojrLjmMiZPKHK3JxQRCRloIreYQNNyONkWoytmDnqcEDCxNMhv7lrsiy1AOOgtBuKqqHdHTZCV16yy0AZPlxdlURIOsP7GOVQUB+nsSaFrGpVlIYqLgoQCbjhXdyw9ZB41TbgvlUHKftn8GRi6oChkZKxqm2g8zZwZFYBb7ptu+yKPbfjv3Lnq8355SympLAsTMDQ3TtlxrfGMd4GAoQ35zHPxPXrpK40EM5at69qoWzA2gjLccK984T2nzf/rGjbd9sVxL7Ywihbu5MmT2bhxI+vWrSOdTrN69WrmzZvHt7/9bTZs2MAXvvAFtmzZwv333080GmXu3LmsW7dutJIz6ox0hNezINqjJpUlQf9t7f15+//+1nF/rYOq8jAJ03YX4hjCtaJr+N31wSgOG0TCBrd/ZXaffbX/7RJe2nfEdxH4dxTQ2pHgTGeSxqa2rLIIGhpp28Hux3Whae5sHV3XqCgO+nnd9OQ+QNIdT9PencIwNMJBnWgiTdc5kzS8AS1whd+bQSWlHHDSQn1DMz1xk5TpugsChk5RSGfvu6e4bGpZVsPtbbFtfuYtOmMmZZEA7T2pLFeJBMoigSGfeS6hUNnWmxhz6+1CRASM1hTe8TQ1OBdGNeh1+fLlLF++POu33/72t/7/c+bMYdu2baOZhLxxoWIKNQHvH+/i0F8a0YTb/b36s9XsffdUv2sddMdMJpaHiYQDHD01sH/KyXGATEoGHCn2rN2X9h71w4wkmbCtzABS77ApN+IgSHt36uzsrt73cjx3R3YoUDigcbI9kZmp5Q4UxSyHCaUhN142g65l9me2J5aH/TUCzi17b6rwibYYRmbgUNPcCRXlJUGKQgaptD3oOhaei0fXNSaUBDmT8ecGDI2KkqDvEhnsmc+ZUcHLr7sTEgK6RlHIHYw7NxQqX13zXLgQxsRoxMwWYiyumml2gVg2f0afWWPDjSl0HElrR8K3Bp3MHPwd+45i2ZJEr9lXAkhk5tZ3RQd3EcDgrtSgoWHoGqGAW3EHq6wrrv00G1Z/geoKt2vtjaQLgd+VR0q/LMJBnfKSoD8bLRzUKS8OEAq67oaUafcVeOFJuci4StztopBBzfRyJk+MUF0RxjB0f4KE59bor+y9hnk6M+jnSJmJXXbv4Yl40ND8dSz66z73dvGAYMaUUsqKg77QD/XMG5va2PvuKUqKAgR0gWXbxBIW//L5KeNWIGDk4WKj4W4bzeuOJhfftK4xYiROfM+CON2R6POBPCHckfJ4Mp0ZVT8788qyHCaUuhZkKj34yH3AcCMcJGdXQSLzvzdVNxIO5tSIvDw9sf0/kVISMDTKikN+Vz6etPjX2rMz6KZVl2CmbSaUhvpEpsSTVp8ySpo2lWXu1GVvUKs0EiZp2qxeXONbNZMnFPmj0//y+Skcau7st+z9F5qU6JpXfm5YXNBw10YFMtcafB2L3pZndXUpu1//aNhrB0TCruUP7oSKQ82drBiy1MeOkUxQgJFbyPm+7miiBPcCcr7dQM8dYWXW3vTtu0yXGlxRCBg6li39+fCGoWEYOtMmRiiJBDnTmcDOhGr1Ftag4S5C0nvkP560iKdckdY1iISDGLrIuRHNq6miZnr5gG6Uc4Xprsf+PWeXi1cekyvPLsSeStu+nxf6f7ENJFpewzR0zS8/r2zsTISBZ53mso7FueWQ6zMvRIGAkUcEjMTdNhbXHU2U4I4DPAtCy3SlPRvXixF1fZUaRSGD7lgKW7orUBUF3eD8Nb1mdXnWn2eJxJMWZUUGybTD1InF/rKMMyaXMmdGxYBW4XDSnYvlcyGPHe6LzWuYrj856YZaaQKR8eOGAjoVxe5AZX1D86g14kIUCI+R+JRHaiHn+7qjiRLccYBXkbftaeJ4WywzSQFAIKW7XsH1V03jUHOnuwByJkphSmUkSyT7s0TWXD/41yNG0pUdjuUzWsfmQtZgV2mIrqiJZUumTYz4a+z2ZrQacSEKxIVgtGJmCzEWV0gpBxtPGdeMt5lmF4KjbXF+/0LjeX0pYLxyoWf4nA/DCR/K9djzyVchhDGNh+c1GoyHmWZKcMcZF2NlvxjzBCpfhcZ4EFwVFqZQKBR5QgmuQqFQ5AkluAqFQpEnlOAqFApFnlCCq1AoFHlCCa5CoVDkCSW4CoVCkScKeqaZNsTi1oXKxZivizFPoPJVaIx1vgp64oNCoVAUEsqloFAoFHlCCa5CoVDkCSW4CoVCkSeU4CoUCkWeUIKrUCgUeUIJrkKhUOQJJbgKhUKRJ5TgKhQKRZ5QgqtQKBR5QgnuGBONRrnppps4duwYAPv27WP58uXU1tbyyCOPjHHqzo9f/vKX1NXVUVdXx+bNm4GLI1+PPfYYN954I3V1dTz99NPAxZEvgJ/97GfcfffdABw8eJBVq1Zxww03cN9992FZ1hinbvisXbuWuro6Vq5cycqVK3nnnXfYsWMHN954I7W1tWzdunVsEiYVY8Y///lPedNNN8m5c+fKjz/+WCYSCblo0SLZ3Nws0+m0XL9+vdyzZ89YJ3NY7N27V956660ylUpJ0zTlunXr5I4dOwo+Xw0NDXLNmjUynU7LRCIhlyxZIg8ePFjw+ZJSyn379sn58+fLH/zgB1JKKevq6uTbb78tpZTynnvukVu3bh3L5A0bx3HktddeK9PptP/bqVOn5JIlS2RHR4eMxWJy+fLl8v3338972pSFO4Y899xz/OhHP2LSpEkANDY2MnPmTC699FIMw2D58uXU19ePcSqHR3V1NXfffTfBYJBAIEBNTQ1Hjhwp+Hx9+ctf5k9/+hOGYXDmzBls26a7u7vg89XZ2ckjjzzCd7/7XQCOHz9OMpnkyiuvBGDVqlUFl6cPP/wQgPXr17NixQr+/Oc/s2/fPhYsWEBFRQWRSIQbbrhhTPKlBHcM+elPf8rVV1/tb58+fZrq6mp/e9KkSbS0tIxF0s6bz3zmM35jPXLkCK+++ipCiILPF0AgEODxxx+nrq6OhQsXXhTP64c//CEbN26krKwM6FsHq6urCy5P3d3dLFy4kCeeeII//OEPPPvss5w4cWJcPCsluOMIx3EQ4uzycVLKrO1C4v3332f9+vVs2rSJSy+99KLJ14YNG9i/fz8nT57kyJEjBZ2vv/zlL0ydOpWFCxf6v10MdfCqq65i8+bNlJaWUllZyerVq3n88cfHRb4Kej3ci40pU6bQ2trqb7e2tvruhkLizTffZMOGDdx7773U1dXxxhtvFHy+mpqaME2Tyy+/nKKiImpra6mvr0fXdf+YQsvXK6+8QmtrKytXrqSrq4t4PI4QIutZtbW1FVSeAA4cOEA6nfZfJFJKpk+fPi7qoLJwxxFXXHEFH330EUePHsW2bXbu3Ml111031skaFidPnuTOO+9ky5Yt1NXVARdHvo4dO8b999+PaZqYpsnu3btZs2ZNQefr6aefZufOnbz44ots2LCB66+/ngcffJBQKMSbb74JwIsvvlhQeQLo6elh8+bNpFIpotEozz//PA8//DD79++nvb2dRCLBrl27xiRfysIdR4RCIR566CG+973vkUqlWLRoEcuWLRvrZA2L3//+96RSKR566CH/tzVr1hR8vhYtWkRjYyM333wzuq5TW1tLXV0dlZWVBZ2v/tiyZQv3338/0WiUuXPnsm7durFO0rBYsmQJ77zzDjfffDOO43DbbbfxpS99iY0bN7Ju3TrS6TSrV69m3rx5eU+b+uKDQqFQ5AnlUlAoFIo8oQRXoVAo8oQSXIVCocgTSnAVCoUiTyjBVSgUijyhBFehUCjyhBJcRUGwfv162tvbR3xMQ0MDN91005D3++xnP9vvtXbv3s0DDzwAuEsA1tfXc+zYMa666qohr6lQqIkPioJg7969F+SYkbJ06VKWLl066vdRXJwoC1cx7rnnnnsAuOOOO3jjjTdYu3Yty5cvZ8WKFbzwwgt9jjl58iSvvfYaa9asYdWqVSxevJhHH3102Pd99NFHueWWW1i5ciWvvfYaANu3b+c73/nOBcqZ4pOGsnAV454HH3yQ7du388c//pGvf/3rbNq0idraWlpaWvja177GzJkzs46ZMGECmzZt4qGHHuKyyy6jpaWFJUuWDHuK6iWXXMJPfvITDh8+zNq1a3n11VdHKYeKTwpKcBUFQ1NTE6lUitraWgAmT55MbW0t//jHP7J8qEIIfv3rX7Nnzx527txJU1MTUkoSicSw7veNb3wDgNmzZ1NTU8Pbb7994TKj+ESiXAqKgkEI0WcNUylln29uxeNxbrnlFt577z0+97nPsWnTJgzDYLjLhmja2ebhOA6GoewTxchQgqsoCHRdZ/r06RiGwa5duwBoaWnhr3/9K9dcc41/jGVZHD16lGg0yve//32uv/56GhoaME0Tx3GGdc/nn38egPfee4/m5mauuOKKC5spxScO9cpWFATLli3jm9/8Jr/61a944IEH+MUvfoFt29x5550sWLDAP2bt2rU89thjLF68mK9+9asEg0Fmz57NrFmzOHr0KMFgMOd7fvzxx9x8880IIfj5z39O5452FQAAAGBJREFURUXFaGVP8QlBLc+oUCgUeUJZuIpPJL/73e/YsWNHv/u+9a1vsWLFijynSPFJQFm4CoVCkSfUoJlCoVDkCSW4CoVCkSeU4CoUCkWeUIKrUCgUeUIJrkKhUOSJ/w/sGRfYMYPoBgAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": {}, @@ -586,41 +647,39 @@ } ], "source": [ - "def quantile_plot(x, **kwargs):\n", - " qntls, xr = stats.probplot(x, fit=False)\n", - " plt.scatter(xr, qntls, **kwargs)\n", - " \n", - "g = sns.FacetGrid(tips, col=\"sex\", size=4)\n", - "g.map(quantile_plot, \"total_bill\")" + "sns.lmplot(x=\"total_bill\", y=\"big_tip\", data=tips,\n", + " logistic=True, y_jitter=.03)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "If we want to make a bivariate plot, you should write the function so that it accepts the x-axis variable first and the y-axis variable second:" + "Note that the logistic regression estimate is considerably more computationally intensive (this is true of robust regression as well) than simple regression, and as the confidence interval around the regression line is computed using a bootstrap procedure, you may wish to turn this off for faster iteration (using ``ci=False``).\n", + "\n", + "An altogether different approach is to fit a nonparametric regression using a `lowess smoother `_. This approach has the fewest assumptions, although it is computationally intensive and so currently confidence intervals are not computed at all:" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 18, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -628,42 +687,37 @@ } ], "source": [ - "def qqplot(x, y, **kwargs):\n", - " _, xr = stats.probplot(x, fit=False)\n", - " _, yr = stats.probplot(y, fit=False)\n", - " plt.scatter(xr, yr, **kwargs)\n", - " \n", - "g = sns.FacetGrid(tips, col=\"smoker\", size=4)\n", - "g.map(qqplot, \"total_bill\", \"tip\")" + "sns.lmplot(x=\"total_bill\", y=\"tip\", data=tips,\n", + " lowess=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Because ``plt.scatter`` accepts ``color`` and ``label`` keyword arguments and does the right thing with them, we can add a hue facet without any difficulty:" + "The `residplot` function can be a useful tool for checking whether the simple regression model is appropriate for a dataset. It fits and removes a simple linear regression and then plots the residual values for each observation. Ideally, these values should be randomly scattered around ``y = 0``:" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 19, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -671,38 +725,37 @@ } ], "source": [ - "g = sns.FacetGrid(tips, hue=\"time\", col=\"sex\", size=4)\n", - "g.map(qqplot, \"total_bill\", \"tip\")\n", - "g.add_legend()" + "sns.residplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'I'\"),\n", + " scatter_kws={\"s\": 80})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "This approach also lets us use additional aesthetics to distinguish the levels of the hue variable, along with keyword arguments that won't be depdendent on the faceting variables:" + "If there is structure in the residuals, it suggests that simple linear regression is not appropriate:" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 20, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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GCxcuxIIFCzB37lykpaUhKSkJjzzyCCoqKgAAq1evRn5+PlJSUtDR0YEFCxYYXSYREfXB8CksI3AKa2Cs1rPV+gXYs1WE/RQWERGFBwYIEREJYYAQEZEQBggREQlhgBARkRAGCBERCWGAEBGREAYIEREJYYAQEZEQBggREQlhgBARkRAGCBERCWGAEBGRkD4D5Mknn0RpaakRtRAR0QjSZ4Dccccd2LRpE2bPno0tW7bg22+/NaIuIiIa5voMkDlz5uDNN9/Epk2b0NTUhHvvvRe5ubk4evSoEfUREdEw1a9zIJqmoaamBtXV1VBVFXFxcXjmmWfw0ksvhbo+IiIapmx9rbBu3Trs3r0bl19+OebPn48NGzbAbrejo6MDt956K5566ikj6iQiomGmzwBpbm7G5s2bkZiYGPT3qKgorFmzJmSFERHR8NZngDz33HMXXDZjxowhLYaIiEYOXgdCRERCGCBERCSkzymsoXbq1Cnk5uaiqakJP/zhD7F69WqMGjUqaJ2TJ08iLS0NbrcbABAfH48tW7YYXSoREV2E4Ucgzz77LObPn4/i4mJcffXV2LRpU691KisrkZ6ejoKCAhQUFDA8iIiGIUMDxOfz4eOPP8bs2bMBAJmZmSguLu61XkVFBT7//HNkZGRgwYIFqKqqMrJMIiLqB0MDpKWlBdHR0bDZzsycuVwu1NfX91rP6XRizpw52LNnDx566CE88cQT8Hq9RpZKRER9kHRd10PxDxcVFSE/Pz/obxMnTkRtbS0OHjwIAPD7/bjuuutQUVFx0X9rzpw5WLVqVa9rUYiIyDwhO4mempqK1NTUoL/5fD4kJydDVVUoioLGxkYkJCT02nbbtm1IS0tDbGwsAEDX9cBRS380NbVB08Ry0eWKQWNjq9C2I5XVerZavwB7tgrRnmVZQlxc9MC3G/AWg2C32zFt2jTs27cPALB3717MnDmz13off/wxdu3aBQA4cuQINE3D5MmTjSyViIj6ELIprAs5efIkFi1ahKamJowbNw5r167FJZdcgh07dqChoQHZ2dmor6/HokWL0NjYCKfTiZUrVw5o+opHIANjtZ6t1i/Anq3C6CMQwwPECAyQgbFaz1brF2DPVhHWU1hERBQ+GCBERCSEAUJEREIYIEREJIQBQkREQhggREQkxPCfc6dg3T4Vx2ta0NbpQ3SkHYkTY+G0K2aXRUQDZMXXMgPEJLqu41BFHYrLaqFqOjRNhyxLUGQJKcluzJg6DpIkmV0mEfXByq9lBohJDlXUobCkGg6HAsdZn1L8qobCkmoAwC1J402qjoj6y8qvZZ4DMUG3T0VxWS0cDgU2JfgpsCkyHA4FxWW16PapJlVIRP1h9dcyA8QEx2taoGp6rx2uh02RoWk6qmpbDK6MiAbC6q9lBogJ2jp9ff5Wl6rpaO3wGVQREYmw+muZAWKC6Eg7ZPniJ9UUWUJMlN2giohIhNVfywwQEyROjIUiS/Cr2nmX+1UNsixhijvW4MqIaCCs/lpmgJjAaVeQkuyG16v22vH8qgavV0VKsjvsv0NONNJZ/bXMr/GaZMbUcQCA4rJadPn9UDUdiixBliWkTZ8UWE5Ew5uVX8sMEJNIkoRbksbjhqvGoKq2Ba0dPsRE2THFHf5XrxKFEyu/lhkgJnPaFSRdEW92GUQ0SFZ8LfMcCBERCWGAEBGREAYIEREJYYAQEZEQBggREQkxLUDWr1+Pl19++bzLvF4vcnNzkZqainnz5uHEiRMGV0dERH0xPEBaW1uRl5eHrVu3XnCdbdu2ITIyEkVFRcjLy8PixYsNrJCIiPrD8AD54IMPMGnSJDz44IMXXOfDDz/EnDlzAADXX389mpubcerUKaNKJCKifjD8QsK5c+cCwAWnrwCgoaEBLpcrMHa5XPjmm28wfnz/7uoVFxc9qBpdrphBbT8SWa1nq/ULsGerMLLnkAVIUVER8vPzg/42efJkvP76631uq+t60D2EdV2HLPf/YKmpqa3P3+i/EJcrBo2NrULbjlRW69lq/QLs2SpEe5ZlSeiDd8gCJDU1FampqULbjhkzBg0NDXC73QCA06dPIyEhYSjLIyKiQRqWX+OdNWsWCgoKAADl5eVwOp39nr4iIiJjDJsA2bFjBzZs2AAAuP/+++H1enH33Xdj5cqVWLVqlcnVERHRuSRd18VOFgxjPAcyMFbr2Wr9AuzZKow+BzJsjkCIiGhkYYAQEZEQBggREQlhgBARkRAGCBERCWGAEBGREAYIEREJYYAQEZEQBggREQlhgBARkRAGCBERCWGAEBGREAYIEREJYYAQEZEQBggREQlhgBARkRAGCBERCWGAEBGREAYIEREJYYAQEZEQBggREQlhgBARkRCbWQ+8fv16KIqCJ598steykydPIi0tDW63GwAQHx+PLVu2GF0iERFdhOEB0traivz8fPz1r3/Fww8/fN51KisrkZ6ejuXLlxtcHRER9ZfhU1gffPABJk2ahAcffPCC61RUVODzzz9HRkYGFixYgKqqKgMrJCKi/pB0XdfNeOCXX34ZAM47hfXyyy8jLi4OWVlZ+Oijj/Dcc89h3759cDgcRpdJREQXELIprKKiIuTn5wf9bfLkyXj99df73PbsUJk1axbWrFmDf//730hMTOzXYzc1tUHTxHLR5YpBY2Or0LYjldV6tlq/AHu2CtGeZVlCXFz0gLcLWYCkpqYiNTVVaNtt27YhLS0NsbGxAABd12GzmXa+n4iIzmNYfo33448/xq5duwAAR44cgaZpmDx5sslVERHR2YbNx/odO3agoaEB2dnZWLJkCRYtWoSCggI4nU6sWbMGsjwss46IyLJMO4keSjwHMjBW69lq/QLs2SqMPgfCj/VERCSEAUJEREIYIEREJIQBQkREQhggREQkhAFCRERCGCBERCSEAUJEREIYIEREJIQBQkREQhggREQkhAFCRERCGCBERCSEAUJEREKGzf1AzNbtU3G8pgVyTQs0n4rEibFw2hWzyyIi6pNZ71+WDxBd13Goog7FZbVQNR0SJOjQocgSUpLdmDF1HCRJMrtMIqJezH7/snyAHKqoQ2FJNRwOBQ67ArtNhs+vwa9qKCypBgDckjTe3CKJiM7D7PcvS58D6fapKC6rhcOhwKYE/6+wKTIcDgXFZbXo9qkmVUhEdH7D4f3L0gFyvKYFqqb3+p/fw6bI0DQdVbUtBldGRHRxw+H9y9IB0tbp6/Pe6aqmo7XDZ1BFRET9MxzevywdINGRdsjyxU8wKbKEmCi7QRUREfXPcHj/snSAJE6MhSJL8KvaeZf7VQ2yLGGKO9bgyoiILm44vH8ZHiCffPIJ7r33XmRkZOCBBx7AyZMne63j9XqRm5uL1NRUzJs3DydOnAhJLU67gpRkN7xetdeT4Fc1eL0qUpLdvB6EiIad4fD+ZXiA5ObmYsWKFSgoKEB6ejpWrFjRa51t27YhMjISRUVFyMvLw+LFi0NWz4yp45A2fRI0TUdXtx+tHT50dfuhaTrSpk/CjKnjQvbYRESDYfb7l6HXgXi9XmRnZyMxMREAMGXKFLz55pu91vvwww+RnZ0NALj++uvR3NyMU6dOYfz4of8+syRJuCVpPG64agyqalsg2RTofhVT3LwSnYiGN7PfvwwNEIfDgYyMDACApmnYuHEjbr/99l7rNTQ0wOVyBcYulwvffPNNSAKkh9OuIOmKeLhcMWhsbA3Z4xARDTWz3r9CFiBFRUXIz88P+tvkyZPx+uuvw+v1YtGiRfD7/fj1r3/da1td14Muv9d1HbLc/9m2uLho8cIBuFwxg9p+JLJaz1brF2DPVmFkzyELkNTUVKSmpvb6e3t7Ox5//HGMHj0ar776Kuz23l8xGzNmDBoaGuB2uwEAp0+fRkJCQr8fu6mprc/vR1+IFY9ArNaz1foF2LNViPYsy5LQB2/DfwsrNzcXEydOxLPPPnvBo4pZs2ahoKAA06ZNQ3l5OZxO54Cmr/r6bnSotx+JrNaz1foF2LNViPQs+v9J0nVd7KO6gGPHjmHevHm48sorYbOdya6EhARs3rwZO3bsQENDA7Kzs9Hd3Y2lS5eisrISDocDK1aswI9//GOjyiQion4wNECIiCh8WPpKdCIiEscAISIiIQwQIiISwgAhIiIhDBAiIhLCACEiIiEMECIiEsIAISIiIQyQc7zwwgtYtGiR2WUY4sCBA8jMzERqaup578sSjgoKCnD33Xfj7rvvxgsvvGB2OSHT1taGtLQ0fP311wCA0tJSpKen484778S6detMri40zu357bffRlpaGtLT07F48WJ4vV6TKxx65/bc480338T9998f8sdngJzl8OHD2LNnj9llGOKrr77CsmXLsGnTJrz77rs4duwYDh48aHZZIdXZ2YmVK1di27ZtKCgoQHl5OUpLS80ua8h9+umnuO+++1BdXQ0A6OrqQl5eHjZt2oR9+/ahsrIy7J7rc3v+8ssvsWXLFvz5z3/Gu+++C03T8NZbb5lb5BA7t+ceX3zxBf70pz8ZUgMD5D++/fZbrFu3Do899pjZpRhi//79uOuuuzB27FjY7XasW7cO11xzjdllhZSqqtA0DZ2dnfD7/fD7/XA6nWaXNeR27tyJZcuWBX7B+ujRo5g4cSIuv/xy2Gw2pKeno7i42OQqh9a5PTscDixbtgzR0dGQJAk/+tGPcOrUKZOrHFrn9gycuWnf0qVL8dRTTxlSg+G/xjtcLV26FAsXLkRdXZ3ZpRiipqYGdrsdjz32GOrq6vDTn/4UOTk5ZpcVUtHR0cjOzkZqaioiIyNx/fXX4yc/+YnZZQ25lStXBo3PvUFbQkIC6uvrjS4rpM7tecKECZgwYQIAoLm5Gdu3b+91f6KR7tyeAWDNmjW45557cNlllxlSA49AALzzzjsYN24cbrrpJrNLMYyqqjh8+DCef/55vP322zh69GjYT98dP34cf/nLX/D3v/8dH330EWRZxpYtW8wuK+Q0Tet1g7azx+Gsvr4eDzzwAO655x4kJyebXU5IlZSUoK6uDvfcc49hj8kAAbBv3z6UlJQgIyMDL730Eg4cOIDnn3/e7LJCKj4+HjfddBMuvfRSRERE4Pbbb8fRo0fNLiukDh06hJtuuglxcXFwOBzIzMzEkSNHzC4r5MaOHYvGxsbAuLGxcUA3aBupTpw4gaysLMybNw9PPPGE2eWEXGFhIf71r38hIyMDv/vd71BZWRnyWQVOYQHYunVr4L93796NI0eOIC8vz8SKQu/WW2/Fb3/7W3z//fcYNWoUPvroI/zsZz8zu6yQSkxMxIsvvoiOjg5ERkbiwIEDmDp1qtllhdw111yDL7/8EjU1NbjssstQWFho6KdUM7S1teGhhx5CTk4O5s6da3Y5hjh7iq6srAwbN27E+vXrQ/qYDBCLuuaaa/Dwww9j/vz58Pl8mD59eti/qcyYMQPHjh1DZmYm7HY7pk6dikcffdTsskLO6XTiD3/4A5588kl0d3dj1qxZSElJMbuskNq1axdOnz6NrVu3Bj4g3nbbbcjOzja5svDCG0oREZEQngMhIiIhDBAiIhLCACEiIiEMECIiEsIAISIiIQwQIiISwgAhIiIhDBCiENuzZw9uv/12tLe3o6OjA6mpqdi7d6/ZZRENGi8kJDLA008/jZiYGHi9XiiKgueee87skogGjQFCZIC2tjZkZGQgIiICu3fvDsv7kJD1cAqLyABNTU3o7u7G999/j4aGBrPLIRoSPAIhCjGfz4esrCxkZWVB0zS888472LFjB+x2u9mlEQ0Kj0CIQmzt2rWIj4/Hz3/+c/ziF79AbGws1q1bZ3ZZRIPGIxAiIhLCIxAiIhLCACEiIiEMECIiEsIAISIiIQwQIiISwgAhIiIhDBAiIhLCACEiIiH/Dxd7qev2KNAcAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -710,39 +763,42 @@ } ], "source": [ - "g = sns.FacetGrid(tips, hue=\"time\", col=\"sex\", size=4,\n", - " hue_kws={\"marker\": [\"s\", \"D\"]})\n", - "g.map(qqplot, \"total_bill\", \"tip\", s=40, edgecolor=\"w\")\n", - "g.add_legend()" + "sns.residplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'II'\"),\n", + " scatter_kws={\"s\": 80})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Sometimes, though, you'll want to map a function that doesn't work the way you expect with the ``color`` and ``label`` keyword arguments. In this case, you'll want to explictly catch them and handle them in the logic of your custom function. For example, this approach will allow use to map ``plt.hexbin``, which otherwise does not play well with the `FacetGrid` API:" + "Conditioning on other variables\n", + "-------------------------------\n", + "\n", + "The plots above show many ways to explore the relationship between a pair of variables. Often, however, a more interesting question is \"how does the relationship between these two variables change as a function of a third variable?\" This is where the difference between `regplot` and `lmplot` appears. While `regplot` always shows a single relationsihp, `lmplot` combines `regplot` with `FacetGrid` to provide an easy interface to show a linear regression on \"faceted\" plots that allow you to explore interactions with up to three additional categorical variables.\n", + "\n", + "The best way to separate out a relationship is to plot both levels on the same axes and to use color to distinguish them:" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 21, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, "metadata": {}, @@ -750,49 +806,36 @@ } ], "source": [ - "def hexbin(x, y, color, **kwargs):\n", - " cmap = sns.light_palette(color, as_cmap=True)\n", - " plt.hexbin(x, y, gridsize=15, cmap=cmap, **kwargs)\n", - "\n", - "with sns.axes_style(\"dark\"):\n", - " g = sns.FacetGrid(tips, hue=\"time\", col=\"time\", size=4)\n", - "g.map(hexbin, \"total_bill\", \"tip\", extent=[0, 50, 0, 10])" + "sns.lmplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\", data=tips)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Plotting pairwise relationships with `PairGrid` and `pairplot`\n", - "---------------------------------------------------------------------------\n", - "\n", - "`PairGrid` also allows you to quickly draw a grid of small subplots using the same plot type to visualize data in each. In a `PairGrid`, each row and column is assigned to a different variable, so the resulting plot shows each pairwise relationship in the dataset. This style of plot is sometimes called a \"scatterplot matrix\", as this is the most common way to show each relationship, but `PairGrid` is not limited to scatterplots.\n", - "\n", - "It's important to understand the differences between a `FacetGrid` and a `PairGrid`. In the former, each facet shows the same relationship conditioned on different levels of other variables. In the latter, each plot shows a different relationship (although the upper and lower triangles will have mirrored plots). Using `PairGrid` can give you a very quick, very high-level summary of interesting relationships in your dataset.\n", - "\n", - "The basic usage of the class is very similar to `FacetGrid`. First you initialize the grid, then you pass plotting function to a ``map`` method and it will be called on each subplot. There is also a companion function, `pairplot` that trades off some flexibility for faster plotting." + "In addition to color, it's possible to use different scatterplot markers to make plots the reproduce to black and white better. You also have full control over the colors used:" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 22, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": {}, @@ -800,38 +843,39 @@ } ], "source": [ - "iris = sns.load_dataset(\"iris\")\n", - "g = sns.PairGrid(iris)\n", - "g.map(plt.scatter)" + "sns.lmplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\", data=tips,\n", + " markers=[\"o\", \"x\"], palette=\"Set1\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "It's possible to plot a different function on the diagonal to show the univariate distribution of the variable in each column. Note that the axis ticks won't correspond to the count or density axis of this plot, though." + "To add another variable, you can draw multiple \"facets\" which each level of the variable appearing in the rows or columns of the grid:" ] }, { "cell_type": "code", - "execution_count": 23, - "metadata": {}, + "execution_count": 25, + "metadata": { + "scrolled": false + }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 23, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -839,38 +883,29 @@ } ], "source": [ - "g = sns.PairGrid(iris)\n", - "g.map_diag(plt.hist)\n", - "g.map_offdiag(plt.scatter)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A very common way to use this plot colors the observations by a separate categorical variable. For example, the iris dataset has four measurements for each of three different species of iris flowers so you can see how they differ." + "sns.lmplot(x=\"total_bill\", y=\"tip\", data=tips, hue=\"smoker\", col=\"time\")" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 24, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -878,39 +913,42 @@ } ], "source": [ - "g = sns.PairGrid(iris, hue=\"species\")\n", - "g.map_diag(plt.hist)\n", - "g.map_offdiag(plt.scatter)\n", - "g.add_legend()" + "sns.lmplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\",\n", + " col=\"time\", row=\"sex\", data=tips)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "By default every numeric column in the dataset is used, but you can focus on particular relationships if you want." + "Controlling the size and shape of the plot\n", + "------------------------------------------\n", + "\n", + "Before we noted that the default plots made by `regplot` and `lmplot` look the same but on axes that have a different size and shape. This is because func:`regplot` is an \"axes-level\" function draws onto a specific axes. This means that you can make mutli-panel figures yourself and control exactly where the the regression plot goes. If no axes is provided, it simply uses the \"currently active\" axes, which is why the default plot has the same size and shape as most other matplotlib functions. To control the size, you need to create a figure object yourself." ] }, { "cell_type": "code", - "execution_count": 25, - "metadata": {}, + "execution_count": 27, + "metadata": { + "scrolled": false + }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 25, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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n4TKbu103WKmQxESwYsUKVFdXo7CwMKBc4bRp06S4PaGDWBsM+HHBXSG/PQuqnTDm5+PJ4pURkYsQXtpneskz0jEozYri+hZkmjyg0erErE+T4YOJejByGnl1Lbz3owCUPfwIkjLS0dLAnRHmNBhIsRcBJFGwx48fx2effRagXAnR48cFd4kKHJ8zezV6DxgcdnkIkaF9ppe7vgHD24XOygD0MHkw40sj3puSgarspJD35VOuAOBJkpFiLwJIYiIoLCyEwcCdz0yILEc/+VDUH5WR00S5xiBOtwu1FoNgGxabtRnnKn6BzdrsOyaU6cVFpsmDrHoXHCoati5Y8TyMB5UnjgbJYq+pJaYDSLSCdTgcmDRpEgYMGBBgcxXTMoYgDU215/HzknsE88e93kxGTmP0P96IhFgEkYip2+puceHz5x6FvOwUtBY3yi52dp208jG0NBp5i7ZwQQO49UsTmrU0TvRWYMA5F6ejKxRJbhbVa9bjN50c7sv6YVBmIYyHfhRVjKY7IImCXbJkiRS3IXSBn5fcI2rl2uO+u9B/wvVhl4fQMcTUbf38uUehP3DCNybZ4gYOnMDnzz2KySvWgVareFtwt4e6+C/VymB4hQu/DtbjluWPw3b0F5x9731BswDXfZItbqD0N9TiN9+5UMVougOSmAhGjRoFmUyGiooKXH755aAoKmQ/LoJ0/LL3c1GVjxiAKNcYwmsOMDssIbu22qzNkJed4hwjLzsFu7UZHax/FUDheSe06RnImfh7ZF59dafvw0V3jjSQZAX71ltvYffu3airq8OkSZOwdu1a3HzzzVi4cKEUtyfw4LBZULJ8CVLqHSFrujIArtz69whJRhCivTlAr0pFo4O76Lm3bmvLBQO0luCSggCgsbhR99uvYBziVq9cJJkdvmiA9l1mlZmZ0I+4AuX1FZD/chpai9u3chVDd440kETB/uc//8EHH3yAGTNmQK/X48MPP8Qtt9xCFGyYKVm+BGn1oSdV6oJZKPrTzRGQiCCG9uYAPuUKtNVt9eSoUKaTt27F22HTyZHd/1I08hSDEUNLSlvrF76MsUK0OtiqT/+Kk08/h2QRBWKA7t1WRhITAU3TAc4tpVIZ0PyQID2NddVIFqFcWYAo1xhCqI0LF966rRptMtyDCzjHuAcXQJeeyVsMRgwVvZRwywLXpDKlEurcnIB0XI02GZcMGQn3kMJOP6s7IZkNdsOGDbDb7di9ezfuvvtuXHXVVVLcmsDDke938/7xvMVbGABDt7wUOaEIIRFq4wIA6eo00KCQrcnAlAETAjr4Tlr5GIyjB6BZJ4cHQLNODuPoAbj+nodhr6lFn9m3BhSDUaSn8z7HW9ynSUvj8AA1dhcloaahOij8i4/2slg0sqAWM16Yiz3EuiOSmAhWrVqFDz74AAMHDsTHH3+M8ePH49Zbb5Xi1oR2mM2N2HPP3Ug3ctvjgNbJk3HfYlw2YVLkBCOIQqiNS7YmA09f/yBsbjv0qlQo5YEBqvIkBaY+vB42azMaas8hI6snat//CEfvXxkQFnX5xhfQ0mSGTKvBkQdWwsVRqNusofF/41NhTpbDQwMTfrLh109XB4V/yZO4g2Tby6LXZ+PX1Ws6XK820emSgq2urvb9PG7cOIwbN873e11dHXr27NmV2xM42HPP3cgSUK4AYM5UYSxRrjFJqDYuKSodUiBcF0KjTYam8LKgAixcYVHluRQKOcyyp/KUaNS3ZnGNO9SMohN23zn/8K+pDwuXH/TKAgDpo0ZxFoQRU682UemSgp0zZw4oivLVfPWmyrIsC4qiUFJS0nUJCT5Kf9zLu3L1mgSaM1Uo3rQlonIROoZ32/9j5WE4GxqgzMjAlfnDA8wBoRDK3GooLYXqpj8gSanGZ5fR+J1DjYLzTuisDCxaGqd6KbHvilYlLnezKDjPHUIlLzsFm7UZGm2yKJm80QcNpaVw1ddDkZmJjIuJBt2VLinYPXv2hBzz/vvvY+bMmZzntmzZgj179qClpQWzZs3CLbfc0hVxEhZ/s4CQ0dx42wT8aeayiMlF6Bysx4PMzw7jhosZWVZdE9yDAXbINIAW5xwW6tHlqDNg3X8eA5uph4dm8c2IZHx/uQ5auwdWtQxueZszS2v3INnKXXFNY3Gjofacb4UaCoYCvhmhw38z0+FoYKDKSMcV+Tr0pSBZU8V4QxInlxDvvfce5/EDBw7g8OHD+Oc//4lt27ahtrY23KLELV6zgAz8sYcMBVx+DTELxAPejKxkS+sXZrLFDf3FLblYvD26uGjW0rCoaTQ525oTuuUUmpLlAcoVAKxqGVp4llluOYWMnN6iZfKGn9W6jDAly1DrMmLnib3YduTfou+RaIRdwfLV8/72228xYMAALF26FHfddRfpPsvDL7/+KOjQ8tKYJkff3pdEQCJCVwiVkSXGgw8I9+g61UsZpEg7g1wmC3K08RWjEQo/82ajdUckiSIQgq+EodFoRHV1Nf7+97+jqqoKd999Nz7//HPe8Zs2bQpoDZ7oOJ12vP/k/cg5Xg8Nzxiv3bVRL8d1L70aQem6D1K/dw215wQzsjqyJQ/MuDKgSU0F2Ff9oUCB5Qik0to9SOL5/pa5PL4MrFDFaITCz7zZaDm6LFGfK5EIu4LlIy0tDQUFBVAoFCgoKIBSqURjYyMyMjI4xy9fvhzLly8POOZt3ZGIvP/k/Sj8WTgrhwGgWrsM066cEBmhuiFSv3cZOb0FM7I6siX3z7iyGOrwyMFXUesKjjfN1mTg0QkP4Jy5Gq8f+n9osLeN8ZoIlBxK1r/Wa6hiNELhZ95stO5I2E0EfFx55ZXYt28fWJbFhQsXYLfbkZaWFi1xYopjP+1H7nFuB4Y/jXo5RhHlGleEysgS67EPuE5GwZ6mwrA+RQCC28OMyBuK9CQtBlGZuKrHENH39TAMnG6XqO2/N/yMC282WjhwuNyoqbfC4QptRosGYV/BJidzvzATJkzAwYMHcfPNN4NlWaxdu7bbp9c2NdbjwJK7oHGxUPOMIWaB+GfSysd8dV01FjdsfoH9HSFo256Ugts+a/RFmzAAjPokXNrQgMOv3AunoR6DszKR0U+PLwbTMDiM6MlqkOTm3inJ3Awaas8hqUeWqO2/N8zskJ8ZYcRFM4LUeDwMtm4vw/5jNTCY7MhKU+OqIblYcONgyGRRWzcG0SUFG8o2tWzZMsGi26tWrerK4xOOA0vugtYl3OTXqqLQ+7GHMO7SKyMkFUFqgjKycnp3auXaftte/MkpZJnaCrDIAGQaW1D/xW7fMWedAfo6A+7JnITk2+6DykNj/2d/FjRZyJRKUdt/GS3D7cNnYFbRNBgdTZzZaFKxdXsZ/m9fm7Owzmj3/b54WlFYntkZYkfVd3P2fPMZNCGUKwBcGJCJy4hyTQg02mT0Lrysw8rV43Siqeoc/lv5k++YysEg0ySuuhUAmA7+CMbpglqEyaKj23+lXIEcXVaXlSvf9t/hcmP/sRrOa/Yfq+mwuSCcZoYurWCXLeMOamdZFlVVVV25dbehrqEOHzzzAAZU2sH3OrIA7EoKNQMzMXPN/0RSPEIM0b5r7CRNW9RApqmlQ6slbzJCUo9sXHF9ERpsRmSdavBle9UXZmDmirW+8bG0/TeanTCY7JzX1pvsMJqdyM0MrdoiYWaQxAb7/vvv+6ppecnLy8OuXbukuH1C88EzD2D4Ce6XxZ/ch/+C6y8nFcq6M+27xqZaWd+7UzpECwbiM6a8yQhuWwO+OLUPKKIgH5QRkO3F/LLd164mlrb/+hQlstLUqDMGz5vMNDX0KeLqHkTCzCCJmt6yZQs++eQTTJkyBbt27cKaNWswdCj3loLQxheHduOSs6FrutoUFIYQ5dqtEao9UHDeCbecQn2aeCcxVzJC+2wvrgQBqbb/fIjZ/qsUclw1JJdzzFVDcqFShF43Sm1m4EMSBZuRkYHevXtj4MCBOHHiBGbPno3jx49LceuExNTciM0r54J9fgt0Dm67q7emq1VBYfQW0uqluyNUe0BnZaC1e/DBRD0upMngoS7We6WAC6k0LqTS8KCtBuyFNBm+vVwb8pneCIFIImb7DwALbhyMP44tQLZeDZoCsvVq/HFsARbcKK4VvdjndBVJTARqtRr79+/HwIEDsXv3bhQVFcHRhf5Aic47j9+L4SdsgmNsCkC+fBEmjpscIakIsYwiXY+WFDWSmoLfG4uWhlUtAyOn8N6UjIsOrxbUpyVh1DFrgAlKBqCHyYMxP1nxzQhh5xpF0RFPEBC7/ZfJaCyeVoS5UwbBaHZCn6IUtXLt6HO6iiQr2EceeQR79uzB2LFjYTKZMGnSJMyZM0eKWyccFTUVKDgf+svnRL4a1xHlSriIW0ahIo970rff7jtUNKpyWo/xlSIsOO+E3C0cteJhPRGvIdDR7b9KIUduprZDyrUzz+ksktylf//+WLVqFcrLy7F06VJs3LgRNE0iwLj48tBnGMJTHo4FYFFTONlbhRkP/i2yghFiAqfbFeBEMjssONN0HuokJXYVJcHewl/btT1CpQi9ZoWmZGEVcKbpPIpUA7v0mRwud4dWmd5t/v5jNag32ZHp592X8vlSP4cLSRTsd999h9WrVyM7OxsMw8BsNuPFF18kji4/DKYGLP1sDWQeFn01NFJtwS++RU2D+ssSLBvx+yhISIgm7bOy0lVpcDEtsLpsYMCABg3QNGdtVxo02ItjGLS9V1a1DM1aGqkcStZrVhCCBo2+qb06/5k6GQbV1e2/2OdL9RwhJLnb+vXr8cYbb+DSSy8FABw9ehSPPvooPvroIylunxAs/WwNQAMemsKpPCVnaNbJ3iqiXLsp7bOyGhyBRVv8FafX29/+nP8Y77hTvbjfNTElDfuk9USKSrh9jRBdDYNq3f53XkWJfX5XnyOEJPt4hULhU64AUFQUO6lqscCn/z0I1u9d3neFDocHqNGkpf06e2owZ+3GqMlIiB4dbeUdChq0rzOtbuZU5Eyd4us0q8zOhnH0ABwf09c3ZuIl49A3tVfrKvni9flpeXiyeGWnnt9kceLgL7X4/mg153muMCgx2VRNFieO/GZAkyW0hz9SYVihkERtjxgxAn/9618xY8YMyGQy7NixA7169cLBgwcBACNHjpTiMXFHo7EZi95+GXRGFSi//9MsTfm2ehqbBwW5w/Hw1D9HT1BCVAnVyrujsGCw5tr7MCCjX2u86gjAM28OXI1GKNL1kCmVuN7P1iunZdh25N+wOK1ocJigV6Xgsuz+kIlsX+PF5XJj5aZ9qKw1g+E2/QIIzLYSY0Zof1+aBvJzUvDc8rFQ8Gzppcr26iqSPKG8vBwA8Pzzzwccf+mll0BRlGDBl0Rm0dsvQ55zhve8d6s3dfgfIigVIdYQqqXaGbI0GW3K9SIypRLq3Bzf796EAQB48/AH7cwTpoBar2JZuWkfTlWbQ47zD4MSs41vf1+GAU5Vm7Fy0z5sXMFdrjNSYVihkETBbtu2TYrbJBRHTtaATrsQchzFAkN7FUZAIkKsItTKuzN0pP5qqFqvs4qmibpXk8WJytrQyhVoC4MKtY2fO2UQnC4P730ra81osjiRqgtWlt4wLH/l3f75kUASG+z58+dxxx13YOLEiTAYDJg3b163Lfbi8TB4/eOjeOqdfaCU3PGuLNv6Dwzw8uQnIysgISaZO2w6pgyYgGxNBmhQyFTpkazQBdhF+6b2wh8uGe8bk6VOR35aHrIu/p6tycCUARM6VIBFTKsXMVTWCJsFKI5sK6PZybnCBACDsXUbL3Rfhml9Lh9dzfaSAknU+Nq1a7Fw4UI8//zzyMzMxNSpU7F69Wq8++67Utw+rvBteWg5lE4VKFWwkmXdMtx+2XxMvaJ72qYJwfAVU/HGwfZN7eXz6DuHBcbKto+d7QhStXrJz00BTYNTGVIU8Pw949AnJzlg5ahPUUKtlMHuDC6zqFLKoE9RQqOS896Xplufy0ckwrBCIckK1mg0YsyYMQBamxzOmDEDFotFilvHFRXVDdh79FeA9gCMDB5jD85xTEMeUa4ETtoXU0lR6VDUY2BAuFT7Me1/5+v8yvc8KVq9pOqUyM/hVnZ9c5KRrOG7D1+oGBXyvvk5KUGUfgRCAAAgAElEQVTmAa5ohM5me0mBJE9UqVSora31dYQ9dOgQFIrwVNuJRSxWOxa9uRluXTWo/g4onSp4jD3gPtcfACDT14FS2MG61GBM2Xhj3tIoS0xIREJ1fuVDqlqvz/z5d1i0vgRma5tiV8hpWGwuLHlmN2ddV75wKefF7KvcTDmeWz6WN4rA99ljtIWMJAr2oYcewpIlS3D27Fn86U9/QlNTEzZu7D4xnYve3Awm85RvO0CpHKBzW6MH3OcGwX1+ANRaN9bMGYthl3DnPxMIXSVU51c+pKr1+s4XxwOUKwC43Azqm1rjVjtb11WhkGPjigmtjrQaM/Jzg1eusdpCRhLVzrIsbrzxRnzwwQdITU2FzWZDU1Nky5xFi0+/+wXuZG6Hnkxf5zMXXH/5IKJcCZLAZQIQ0/k1FJ2p9erdkjdZnLwRAe0RW9fVbHFhz6FzqGtsrSCWqlNiWP8sTrNALCQVcCHJCvbJJ5/EPffcg19//RU6nQ6ffPIJli1bhnHjxklx+5jk/IUGLPvn65Cl14JScL+8lMKO5BQGE4r6R9RzSUhMhEwAYqIBvHGvksjSbkuuT1aiUWQNVf9A//lTBuFYRX3A9r93j2Ts+fFcwIo0RavAGw8VQ60OVv6xklTAhSQrWIZhMGbMGHz11VeYOHEicnNz4fGIb8AWjyz75+tIyj0DWukExWOnZ11qPLFwAhZPK4qpVsKE+MRrAjDYGsCC9ZkAth35ty8agIuORAOIxbslrzPawbIQrVwBgKYo3/b/rZ3lOFXdForFMMCZmmZYbC0B15itLixaX8J5P6+pgYtIJhVwIcmsV6vV2Lp1Kw4cOIAJEybg7bffhlYbumJ6vPL90bOQ6UMnEcgtuSjsmREBiQiJTigTAABJogHEILQlF4ObYeF0eTp8H7PV5TMX+BOp2q6dQZInP//88/jXv/6Fl156Campqbhw4QJeeOGFkNdNmzYNycmtVdXz8vKwfv16KcQJO9v2HgCVLZBE4FJC3twLb9zO3XWXkPh0NjaV7zoxJoCuRgOIqdvqcLlx/IyRN0FALCfOmaCQ07xbez6OnWrAdemaoOORqO3aGSRRsD169Aho4b1yZegqPE5n65YintJsz9bU4f6dz4POauYdw7qUuL3wTkz93WURlIwQK3Q2VCrUdWISAjobDSAmxKn9GIq6mI3YSV758CfUmxyg6Y7dZ0gB944wFpIKuIiaYfDXX3+F3W7HggULMG/ePPz000/REkU09+98HjJdMygavHZXT2MOUa7dGCE7aVeu60hCQEejAdrbU70hTlu3l/GO6YpyBYB6U+sOUCi9tj0pWgWyOVav/kQzqYCLqClYlUqFhQsX4n//93/x2GOP4S9/+Qvc7uiFU4Tiw12l0HuMnH2MWBZgHCq01PTF5lmLoyAdIRbobKiU0HWlVUdwtuk8nG6Xr15BrkKPtGYPchX6DtceaI+QHfSHo9U4WH4BdY22LtlcxUDT8NULmHRNXyRrA78cvFEE8UbU1Hy/fv3Qt29fUBSFfv36IS0tDQaDAbm53MbqTZs2YfPmzRGWEjAZzXh7zYO4pMGA+XYGzX59kFi6bRmbZbkSr95HGj0mGh157zobKhXqur98/iSyNBkYmTsEYw9bMfhAA1z1jVBkUsgYbQHdhc5MQiFOBpMDj7+xv8vmADEwDPDkXddgYF89VAo5lk6/HHWNNhw71YAhBRkhV66xStQU7IcffogTJ05g3bp1uHDhAiwWC7Ky+OP0li9fjuXLlwccq6qqQnFxeL/V3l7zIK6saosYSLUyvhYcvrbHLHDrmKvDKgchOnTkvets4RQx9WANtgZY3v8UtX7tX1yGetR8ugMAULB4gajPE/Tsi7ZKu5N/9xhu5QoAaqXMp1y9ZKdrOB1a8UTUTAQ333wzmpubMWvWLNx///14+umnIZfHht3Ey9cHjuOShnrOc/5tjxlbMsYPIzVduzudLZwidJ0XuZvlbcHdWHoQHqf4ONRgIqBBQyLcHyxeiZpGUygUokK5okFTkw3zntiFVNRhsZ07YUJnZaCxemCU6fE/U/4SYQkJsUpnQ6X8rzPYGsG2U3pCLbid9fVwNRoDOhaIxWh2cpYL5EOfrESTxYmMVBWSNQpY7C2+sKgrBmah5OA5tHgCZacpgGHb/sv5GfyKuyQSifVpJGLeE7vAsEAzUtGsliGVQ8laNDJM6rcYN18/KgoSEmKVzoZK+V93wVKPZ755GfX2NrusUAtuZWYmFOn6TsmrT1FCRgMekd785+8ZBw/D+kwL/rGzqzftC1KuAJCXrcOd/99Q5GZo8dAr30a9jUskIfmb7Thyos73LeuGEr9lcMfdnUzPJMqVwEtnCqd4r+uT1hOjeg8LOO5twc1F+qiRkCk7p5ycLo9o5Sq76NStM9rgdLUuOrxhUUKtXaoMFuTnpiA7XROzGVfhIvE+USfxdq5s37StRPl7IG83+jc2QGfzwKKR4WR6JuY9+UyUJCV0B7hMDbqZ45Fz2Apj6SE46+uhzMxE+qiR6LdgfqefI9RypT0ehsWip3eBZYM7u4pp7TKsf1bMZlyFC6JgL8LXEZOl5NitmoSvejqRTDVh4S3jcM/ogVGQkNCd4DU1cLTg7gpCrV648EYUtO/sKnQf/9YusZpxFS6IiQBA+emGkO2G3VCiCdkYT5QrIYJwmRq8Lbi7qlwB4ZYsYvDv7NqR1i7dhcT96hCBxeLA/Cd2weUO/fVNU8Dbj1wfAakIhMgS1JKFAuQyGi1uBiwgmGjgv/3nahmTolXgmT//zvd7rLZ2CRfdWsGKVa5PLrkawwZkR0AiAiHytG/Jsu9wFb44cNZ3PlSigXf7z9Uyxmx14Z0vjvvatsRqa5dwkXhfGSKpqDKJUq4FPVOIciVEDK6uqJEiVafEwL56HD5hEH2NnKagVMhEtW2J5dYu4aLbrWC9W5Q9B8+GHFvQM7BzJYEQLmJl6yxUm4ALhmVhvNjNIFTbFjFjSKJBnNN+i8LHs8vGYFA/0o2AEBliZess1OmVC/8EATEdYsWMSSS6lYlAbIsKhZwmypUQMWJp6yzUfoULb4KAmLYtsdzaJVwk3icS4OQ5U8hvZoWcxlskWoAQQaLRFZWrPYz32Ow/tIYi+icDjBrcWuegtKw2yIThRUwSAUk0SEDsdldQ+Eh7dOokPHnXNSjMS4ugZASC8LZc6q0zl62XT3m+tOJamK0t0KcokSSjsXV7GViWvdjRIDi0QEwSQXdLNEjcT+ZHKOUKANeN6E2UKyEqeLfOXL4BqbfOXLbeT789HTCGy/77+sdHA64zmBy8NuLW+gTCMosZkwgkvA323IVmQeWamarCH8cWJOwWhRAfLLhxMP44tgDZerWvdYrU72VH22R35/AqqUjYrxDvVmjvj+cEx906cSD+cFV+ZIQiEHiIxNa5oyFY3Tm8SioSdgXr3Qo121oExw0nSQSEGCKcXVG9tl6xKBVy6FOUgtclaniVVCSkghW7FRLTBphASBQ6GoLlbSXTHcOrpCIh/8+I2QrFaxtgAqErtA+TSktWotHM3c/L4fT4tv/dLbxKKhJSwQqFvSRrkrBh2Vj07pEcBckIhOjS3tarUcnxwItfc86VLH3b9r+7hVdJRUKaCIS2NBOu7E2UK6Hb47X1puqUHdr+h9NGnIgk7P8lsqUhEMRB5kr4SFgFS7Y0BII4yFwJHwn/f7G7ZIwQCF2FzBXpiboNtqGhAePHj0dFRUW0RSEQCARJiaqCbWlpwdq1a6FSqaIpBoFAIISFqO4HNmzYgFtvvRWvvfZap673eDwAgNraWinFIsQJOTk5kMsj/wqT965705H3LmoK9qOPPkJ6ejrGjh0rSsFu2rQJmzdv5jw3e/ZsqcUjxAElJSXIy8sL6zPIe0doT0feO4rlKuwYAWbPng2KokBRFMrLy5Gfn49XX30VWVlZou/hcDgwbNgwfPnll5DJZGGUNnYoLi5GSUlJtMWIGEKfN1orWIfDgWPHjiErK0vwvYvHvxWROTRxsYJ99913fT/PnTsX69at65ByBeCz3fbt21dS2WKdcK/aYo1Y+7wqlQojRowQNTbWZBcDkVk6oh5FQCAQCIlKTAS9bdu2LdoiEAgEguSQFSyBQCCECdm6devWRVuIrjJ69OhoixBRyOeNH+JRdiKzdEQtioBAIBASHWIiIBAIhDBBFCyBQCCECaJgCQQCIUwQBUsgEAhhgihYAoFACBNEwRIIBEKYIAqWQCAQwgRRsAQCgRAmiIIlEAiEMEEULIFAIIQJomAJBAIhTBAFSyAQCGGCKFgCgUAIE0TBEggEQpggCpZAIBDCBFGwBAKBECbiWsG63W5UVVXB7XZHWxRCN4K8dwSxxLWCra2tRXFxMWpra6MtCqEbQd47gljiWsESCARCLBNWBdvQ0IDx48ejoqIi4Pg//vEP3HDDDZg7dy7mzp2LU6dOhVMMAoFAiArycN24paUFa9euhUqlCjpXVlaGDRs2YMiQIeF6PIFAIESdsK1gN2zYgFtvvRXZ2dlB58rKyvDaa69h1qxZ2LJlS7hEIBAIhKgSlhXsRx99hPT0dIwdOxavvfZa0PkbbrgBt912G3Q6HZYtW4a9e/diwoQJgvfctGkTNm/eHA5xCQReyHtH6AoUy7Ks1DedPXs2KIoCRVEoLy9Hfn4+Xn31VWRlZYFlWVgsFiQnJwMA3n33XZhMJixdurTDz6mqqkJxcTFKSkqQl5cn9ceIKA6XG0azE/oUJVSKsFluCBKQSO8dIbxzLywz+d133/X9PHfuXKxbtw5ZWVkAAIvFgqlTp2Lnzp3QaDQ4cOAApk+fHg4x4gKPh8HW7WXYf6wGBpMdWWlqXDUkFwtuHAyZjAR5EAjhIhJzL2JLpe3bt8Nms2HmzJm4//77MW/ePCgUClx99dUYP358pMSIObZuL8P/7WuLoqgz2n2/L55WFC2xCISEJxJzL+wKdtu2bQCAwsJC37Fp06Zh2rRp4X50zONwubH/WA3nuf3HajB3yiBiLiAQwkCk5h7Zg0YRo9kJg8nOea7eZIfR7IywRARC9yBSc48o2CiiT1EiK03NeS4zTQ19ijLCEhEI3YNIzT2iYKOISiHHVUNyOc9dNSSXmAcIhDARqblHZnCUWXDjYACtdp96kx2Zfp5MAoEQPiIx94iCjTIyGY3F04owd8ogEgdLIESQSMw9MpMjDF9Qs0ohR24m+XMQCFITKpEgnHOPzOgIQRIKCITIEgtzjijYCEESCgiEyBILc44snSJAqKBmh4u0HiEQpCRW5hxRsBGAJBQQCJElVuYcUbAS4nC5UVNvDfp2JAkFBEJk8M5BjUoeE3OO2GAlIJQx3RvU7G8P8kISCgiErsM1B3XqJNQZg1exkZxzZGZLgBhjOkkoIBDCB9ccrDPaUdAzBRZ7S9TmHFGwXURsVR6SUEAghAehOWixt+Bv942HzeGOypwjNtgu0lFjemtQs5YoVwJBIkLNQZvDHbU5RxRsFwmHA4vPWUYgEAJxuNxwtniQGQMOLS7CqtIbGhpw0003YevWrQEFt/fs2YOXX34Zcrkc06dPx4wZM8IpRliR0oEVC5knBEI80H6uqBQyznHRdiKH7cktLS1Yu3YtVCpV0PH169fjww8/hFqtxqxZszBhwgRfz654RCoHVixknhAI8UD7uWJ3egAAaqUcTpc7ZpzIYVOwGzZswK233hrUtruiogJ9+vRBamoqAODKK6/EoUOHMHny5HCJEnakcGCR9jEEgjiE5opOLcezy8cgJyM2/BxhkeCjjz5Ceno6xo4dG6Rg/Vt2A4BWq4XFYgl5z3joT9+VqjxinGWk2lbkiYf3rrshNFcamhxQJsljQrkCYXJy/fvf/8b333+PuXPnory8HKtXr4bBYAAA6HQ6WK1W31ir1RqgcPlYvnw5jh8/HvCvpKQkHOJLTpPFiSO/GdBk4U/PI9lesUk8v3eJhnceyWgqbuZKWNT8u+++6/t57ty5WLdunc/GWlhYiDNnzsBkMkGj0eDQoUNYuHBhOMSIOi6XGys37UNlrRkMA9A0kJ+TgueWj4Wi3TcsyfYiELjhmkc6tYJzbKzNlYhJsn37dthsNsycORMPPvggFi5cCJZlMX36dPTo0SNSYkSUlZv24VS12fc7wwCnqs1YuWkfNq6YEDSeZHsRCMFwzSOz1YUUrQIqhSym50rYFey2bdsAICBM67rrrsN1110X7kdHlSaLE5W1Zs5zlbVmNFmcSNUFbmVItheBEIjQPLLYXfif+66Hh2Fjdq6Q4MouUtdow55D51DXaAs4XlnTup3hgmFaz/vjn1zQHbK9PE4n7DW18Didoo4Tuh+nT1bjo3/shMLl4DzPMEBNgzWm50psShUH2O0uLFpfArPV5TuWolXgjYeKoVYrkJ+bApoGp5KlaSA/NwVA90suYD0enN76FhpLS+E01EOZlYn0UaOQP38OKt96J+h4vwXzQcm4g8gJiYm50Yzddz2ATKcR/QEsB2BQ6PF23mQwdJvK8p9HsUrizeAI0V65Aq12oUXrWz3MqTol8nO4//j5OSk+84A3YLrOaAfLtiUXbN1eFt4PECVOb30LNZ/ugLPOALAsnHUG1Hy6A0dWPsR5/PTWt6ItMiHC7L7rAfRwGiEDQAGQAchxGTGv6rOAcf7zKFYhCrYT1DXagpSrF7PV5TMXPLd8LAp6tq5kgdZv3IKerVEEQOy0tYgUHqcTjaWlnOdsZ89yHm8sPUjMBd2I0yerkek0cp7LcpmgcjuC5lEsQ0wEneDYqYaQ569L10ChkGPjigmthvoaM/JzA79xu1tygavRCKehnvskj8HaWV8PV6MR6tycMEpGiBWOffcz9DznaLCYcokCN90xKeZXrl7ICrYTDCnICHne32mlVMiQrddA2a4gRXdLLlCk66HMyuQ+SXO/isrMTCjS+aYcIVHwOovzigaAxzcMBhSunTw6bpQrQFawnSI7XYNkrQLNHGYCnSYJn3xT4VflRw6Ahd3pQba+e7eSkSmVSB81CjWf7gg6p+nTB7bKyqDj6aNGQqaMnwlF6BhczuLbFXrkuILNBPXKNIy7pGckxesyomZwU1MTduzYAaPRCJZlfceXLVsWNsFind8Ny8Xn358JOp6RqmpX5afNjkpayQD9FswH0GpbddbXQ5mZifRRI/2iCAKPe8cTEhMuZ/HbeZMxr+ozZLlMoMGCAYV6ZRp+//e/RUnKziNKwS5duhTp6eno378/KIoKt0wxj8Plxn/L6zjPnbvQHPL67txKhpLJULB4AfrOmw1XoxGKdL1vhcp3nJCY8DmLGVqON/vciMdnF6Hq6AkM+d3QuFu5ehG9gn3nnXfCLUvcIOSc4ksu8IfLgdWVSlzxiEyp5HRc8R0nJB6hnMVGJgk3zp8UIWnCgygn14ABA3Ds2LFwyxI1xLRo8R+jUcmRnqziHMfjqwkgURxYJOuK0Flqa4ywVFVDzvDPuVDO5HhAcMl03XXXgaIoOBwO7Ny5Ez169IBMJgPLsqAoKu7LtonJogpuTdHmtOIiPycloDAFF/HuwOLLxiJZV4RQ2Cx2vHnvevQ1VULvtmKRXIvftL2xJ3MEWKptdZKiVSA7XRNFSaVBcJZ7C7UkKmJatAS3puD+xvVGCMyfMghv7Sz3Oa2UFxWyw+lBlj4xHFjebCwv3qwroNWOSiDw8ea96zGsvi1LMc1txcimXwEAJVmjALSlnCcCggq2V69eAFqLDm/atCng3Pz58/HWW/GbxiimRYv351Ckpyjxt/vG++Lz2jutACSMA0soG6ux9CD6zptNnFMETmprjOhrquQ8199ahX7zb8PVw/slxMrVi+BsX7ZsGX755RfU1dWhuLjtG8Xj8SAnJ74dEWKyqADwjvHH1OyEzeEOCIBu77RKFAeWUDYWyboiCPHL0UqkuK2c55LdFrg9roRSrkAIBfvMM8/AZDLhqaeewpo1a9ouksuRkRHfBmhvFlWdMViB+juh+Mb4k6JVQEZTcLjcIVeqYsbEMt5sLGedIegcyboicFF+ugElh85heH4qTHIt0jiUbLNchyuL8iMvXJgRnOHl5eUAgAULFqC6ujrg3NmzZzFy5Ejeaz0eD9asWYPTp09DJpNh/fr16NOnj+/8P/7xD3z44YdIT08HADz22GMoKCjo9AfpKGKzqPjG+GOyuLDwqV2Q0xQ8LCvKWRavZQmFsrFI1hXBn0ajBfOfbHOEf7EfKNb29tlc/TmT1hc35Cbel7Oggn3ppZcAACaTCWfPnsUVV1wBmqZx+PBhDBgwAO+99x7vtXv37gUAvPfeezhw4ADWr1+PV1991Xe+rKwMGzZswJAhQ6T4HJ1CTBaV/5hQK1k305rlJsZZxjUmXuDLxiJZVwR//JWrlz2ZIwC02lyT3RY0y3U4k9YXt298KNLiRQRRUQSLFy/G5s2b0bdvXwDA+fPnsXbtWsEb//73v8e1114LAKiurkZmZmCRj7KyMrz22mswGAy49tprsWTJks5+hk4jJovKO+ZP4wqx+OldYFiem3Egxlnmn9UVLwhlYxEIQKtZgAuWolGSNQojly+E09iEK4vyE3Ll6kXUrK6urvYpVwDo2bNnkMmA8+ZyOVavXo1du3b5VsNebrjhBtx2223Q6XRYtmwZ9u7diwkTghsBeolGf3r/MoM1DdYOKVegzVnWbHPBwLP67UhZQqfbBaOjCXpVKpTytq6aHqfTp+gAREzpdYesq2i8d/HO198exaeffAUVkwEHreUcc7jSjGW3DI+wZJGHYv2rt/CwatUqUBSFyZMng2VZbN++HVqtFk888YSohxgMBsyYMQM7duyARqMBy7KwWCxITk4G0Nrm22QyYenSpR0SvqqqCsXFxSgpKUFeXl6HrgX47aJz/jAQD77yXUCb4LwsHarqLB1SspmpSug0CpypbQbf/+VsvRovr7pOcAXrYTzYduTfOFj1M+ptjcjUpGNk3lDMGTINZ99sa7NCq1QAWDB2B5TZWST4P0x09b1LVCrPVOPHh1chy2IHDYABYNCp8Xb2n8DQgW22n102BoP6xbejXAyiVrBPPvkk3nnnHZ/N9ZprrsFtt90meM3HH3+MCxcuYMmSJVCr1aAoCrKLE91isWDq1KnYuXMnNBoNDhw4gOnTp3fxo3QcPrvoV/+tCihCwTDA2QuWDt/fbG1BfZNwGqmYrK5tR/6NnSf2+n432Bqw88ReZH52GPoDJ9rktLetkknwPyHS/PjwKuRY2t5BGYAcix3z8AnezLklYGx3UK5ACAVrMBiQlZWF+vp6TJo0CZMmtRVeqKurQ8+e/BVuJk6ciIceegizZ8+G2+3Gww8/jC+//BI2mw0zZ87E/fffj3nz5kGhUODqq6/G+PHjpftUIhBKNOBrB9NRXG7+yi9ZaWpcXRQ6q8vpduFg1c9Bx+VuFkllwtENAAn+J0SGr789iiwLtxksy2KHirH6zAVvrUmMLC0xCCrYNWvWYMuWLZgzZw4oivLVIBBTi0Cj0WDjxo2856dNm4Zp06Z1XvIuIpRoEAnunj4UIy8Lbb80OppQb2sMOq61e6CxhO7ZRYL/CZHgh68OYAzPORpAvrwBC/78h26zcvUiqGC3bNkCAPjXv/4V94kF7RFKNAg3NA0M6CPOc6pXpSJTkw6DLdAra1XLYNPJoQuhZEMF/7vMZtgqz0CT3xeKlNhugUyIPaoqKnHy+/0YMigfzMFWs0B7GABT/3Rtt1OugEgb7Ny5c5GSkoLx48djwoQJuPTSS8MtV9gRSjRI0So4zQRJMgotHvFeLr77dKTdsFKuwMi8oQE2WABwyym0DC4A/GywXOhHXMFpHmBcLhxZ+VBrN9eLnjxNnz4Y9tx60AoFx50IhDYsRhN+uHMJ1C435ADSAN5eWgadGtPHxFest1SISiHauXMnnn/+eaSmpmLjxo2YPHky1q1bF2bRws+CGwfjj2MLkK1Xg6ZaPfp/HFuANx4q5my3XTyyt6j7hrpPR9sNzx02HVMGTEC2JgM0KGRrMjBlwARMWvkYcqfeAGV2NvjUfnl9BefxIysfau2B5a0QzjCwVVbiyMrEDPgmSMsPdy6BxuUGBfj+yQB4Lv5jL/63VqfGlU8/Gz1Bo4yoFSzDMDAajbDb7WBZFm63G42NwXbBeEMo0aB9u22lQoalz+4Jec/2lbWE2naLlpOW4fbhMzCraFpQHGzB4gXInv5HfLf0z9DZgmvUyn85DZu1GRptsu+Yy2xuXblyYDt7Fi6zmZgLCLxUVVRCzVOcngZgmnc3jpVX4uprR3fblasXUQp25MiRUKvVuO2223DfffclhInAH752Lak6JYb1zwIA1NRbO11Zy/8+XUEpVyBHF3wfo7EOGg7lCgAaixsNteegKbzMd8xWeYa/tw3DwFZ5Boqh3XtiEPg5+f1+QcWhs9XjwTWLIiZPLCNKwW7cuBH79+/Hvn378N1332HEiBEYNWoUfve734VbPknhq2Tlf9zp8nCuNsU6xaRuB8OXveVPRk5vlOnkSOZweNk1MmiT0wKyvTT5fVvtFVxKlqahzM0JGO+WUSEzyEgYWPfgh737cP7wIfQVGHPJNVdFTJ5YR5SCHTNmDMaMGQOz2Yxdu3Zhy5YtePvtt3H48OFwyycJfBlb/t0HDCY7ZBTlK9hC063OqOeWj4VCIYdKIceowTn49NvTgs+Sqh0MX/bW3GHTIaMDfbUabTLcPA4vrc2DI3ffCxlNQ+Zy+zK8NH36tNpg28Mw+Gn5/fBmhLWkalCRp8SuoiRk6DI4M8hIy5jE59zJUzi9YiVoQFC52hVy5BXmR0iq2EeUJnj++eexf/9+NDc3Y+zYsXjkkUcwevTocMsmGXwZW8cq6gP6Z7n98lkZBjhVbcbKTfuwcQV/jQQv2RK3g+HL3gKA24fPCBo/aeVj+Py5RyEvO8BR/NsAACAASURBVAWtxe3zXlIAFG4GXh+vN8Orx6Q/AEBbFIEf/hlhSU02XNpkg71FjW9GgDODjGSNJT6nV6zkDMHyd67aFXJc/dqWSIkUF4hSsBkZGXj22Wc567W+//77mDlzpuSCSYVQxlZlrXBzQu+YJosTSoUMpWW1nGMyUlUBjq2uwpe9BQCHqn7GrKJpQeYCeZICUx9ej8a6ahy69z5oeWyyXkz/PYzhm1+Ey2zGz39ZDbepSXB8wXknvr9cBwC8GWQkaywx+WHvPsFwI8Po0Rg5cwZZuXIgKkzrjjvu4C2GLVQTNhYQytji8/O0H1NZYxa8j9HsgM0ROqtKLHzZWwBQb2uE0cGvDK3NJqhDKFegLcMLbg/cTaG/aHRWBlq7RzCDzHdPQkJRsftLwfNWazNRrjx0uZS+iGJcUcXrnOKCFvHpKQrIzdBCRlNI1XKvzKR2bHmztzifpUmHXpXKe21GTm9YdaE3Jt4ML7uMAZWaHHK8RUvDqpb5MsiE7klIDH48cBDvPP0UVAWFguMKfz8xQhLFH132xlAUJYUcYUMoY6tPTgoqq4VXbywL3Ll+NzwCdQqlcmx54cveAoAReUN5owmAiw6vy/oBpb8JPiPlysvx7pP3IrOiAclWJuQ37ancJLjlrX9rvgwy0jImMag5ew6/3nsfkhggHwDwX7Botee3hwEwZkLHEme6E/FTRr8L8LWGcTNMSAULgFe5Su3Y8mfusNbyjYf8oghGXIwiCMWgzELUglvBKrOzkT5qJL49U4rCo8GNC/kmUs96N7I1GRiRNxSTbvJGEZCWMYnIr/feB0U78xmFVmXq/24wAPq98FzkBItDuoWC5crYAsCbmUVR4C2Q7T9m/Z/HhK3NsFD2lhAepxPGQz9ynlNkZGDoCxtgY1uQefdnHZIns8mDx0f/GenZrSUqScuYxOTHAweRxOOboADU/vFGOE5VoPD3E8nKVQRdVrDergSxin8SgT9CTisxZmWWBc5caBalYPmSBcwOC840nUff1F5QyhW8wfwtFwzw5Kjg8bA+heZ0u9BQew4ZOb0D02AbjXAa6jnlcDU0wHauCic9BiRbRXj4/KBZwHT6FFJTMwLa03SEaLW2IYjj4y2vQPVlCXQCYxwXzmPOU+I6mRBCKNhQvYiWLVuGt99+m/NcqLbde/bswcsvvwy5XI7p06djxozg2M6u4J9cUGe0Q62UAaDgcLmRlabGiEE9kJmqgsHkCLqWAniLp/jzyoc/4Zqinrytt/mSBWYOvhGP7v0bzpqqwVyMT5VRMjAs4xsz67IbseuFx31xrSfltC9ZwKOQw814kORmUaaTwz24AJNWPgZ5kgKKdD2UWZlw1gVv/wHg2MOPwKGk4VIBqcEfnReGAloOHsHhN96Bs84AWq0CQIFxOEImGrAeD05vfas1MaGD1xLCT+m3++B87kVkhh6KQcXEodURwmYiEGrb3dLSgvXr1+PDDz+EWq3GrFmzMGHCBGRldT1f30v75AK7sy10qc5ox87vK1HQM4VTwSbJacFuBF7qTQ7B1tt8yQL7Kg+i2RXYgsbDegLG0B/tQeHPbUrSP1lA5nL7gr6TLW7gwAl8/tyjmPrwesiUSqSPGuUL/G8PBUDtZMBnbOBzWTJqBep3tZlUGHvb/7dQiQant74VIE9HriWEH+dzL4oKJ2qhgTGjR4ZdnkRCUMEuW7aM8zjLsqiqqhK8sVDb7oqKCvTp0wepqa3hRldeeSUOHTqEyZMnd0R2XoSSC/yx2Fsw5Zp8HCq/4HN+DR+QhV2l3JWm+OBqvS2ULNBeubZH7maRWcHd9pj3mrJTvqpZXmdT/Q/70dLAfR8xE4pF68rVlZWKFEaOFpuwTFyJBh6nE42lpSGfRZIUosPHW17hXbn67+JaaODSjS9GQqSEQtQK9v3338eGDRtg90uhzMvLw65du4RvztO227+jLABotVpYLMJKpyPtk8W2g6k32TFt/CW448bBPjvt8TNGfHGgYwqWq/W2ULJAKLR2T4dtpP5VsyiZDAWLF0DTtw8qXn61UzIAravZwc88CU2qHv+9m/vL1h+u9jRCNuFQ18YCid62m/7mG8HzFjmQtepBsnLtJKISDbZs2YJPPvkEU6ZMwa5du7BmzRoMHTpU1AM2bNiAL774Ao888ghsNhsAQKfTwWq1+sZYrdaQzrLly5fj+PHjAf/4eoIJJRf4400QaC1XqIVKIUd+boqoBASu+wTIIJAsEAqrWoZmbceEsOnkSM7sAY/TCXtNLTxOJzRFl4W+UABldjbS+hX47LqhUOj1kGkDnX5ir43VJIWOvHfxxMHyUrz61lMwDRMuPeqYWIwriXLtNKJrEfTu3RsDBw7EiRMnMHv2bPzzn/8UvEaobXdhYSHOnDkDk8kEjUaDQ4cOYeHChV3/NBcRSi7wZ9TgnKAEgVSdEvk5KQFFYELBlWgglCyQrNCi2WUNOu7FLadgKMhAKkecKh8ne8pxfsNqFFY5kWS2oyVFjYo8JXorAC1Hk9wWGkGxju3xTxwQsut6cTU04OcVqwKcVqFswlzPIoSP6gvnsH/VCmSaPChCq1WfL/aZBTBtyZ8jKl+iIUrBqtVq7N+/HwMHDsTu3btRVFQEh0PYBR2qbfeDDz6IhQsXgmVZTJ8+HT169JDkA3nxTy7oaGPD55aPxcpN+1BZa/bVK5DRgIeBLxrB6XL7Ehb4Eg34kgVcHjd2V+wTlMH9p3Ewao5CXnYKGosb7ot/KbkbAT9btDRO9VICLItLy9rqAHirYB0uVGDAORc0fkrWpgDenJqOa47ZUXDeCZ2VgccbpdDigTIrKyhxwPtzY+lBOA0G0CoVgMDKWwC304r3WqeTJClEmP2rVqCHqc3h63WWtk8iYAEoV94XQckSE4oVUUzgt99+w7/+9S88+OCDuPfee/H9999j+fLluP322yMgIj9VVVUoLi5GSUkJ8vLyOMc0WZy454W9aDQ7g85l69V4edV1vGmu7VvG+MfTchXu5sM/DhYAHvjs8aAusUGyaTLwwuS1sFub8eT2p1FNta54tXYPrGpZ0M9zdjQglcNu26Sl8c4NGVA5GOTVtaAqOwkWXVs4lNzNoiejxZo/PoxklS5kbKp/LKvH6cSRe1fAxdE+SJmdjeGbXwxyeCVCHKyY9y4WOVheCvuDGzjLDnoooPKaIqQd+RXMuHFk5SoRolaw/fv3x6pVq1BeXo6lS5di48aNoDtqqIwSNocbxuZg5QpwO6f8ad/qxX8c3zVc+Ld6qbUYRDm/fFWzZMC5JDvYi+uLpuS253p/Tm128zrFvFWwmpLl+FUXPLXccgpVsMMhY5CmVIZ0Msn8xrgajXAZuatncTmtZO3uH2sOrUTnUOku8DUColnA2iMJ896N7ep48YYoLfHdd99h9erVyM7OBsMwMJvNePHFF0U7uqKJUKsXqatgiZLnovPLYGuA3M36VqHeQipA66qyD5KRQqkgUyp94/lwJtGwqikk24M3I3Yl4LlYkIcGBYYjhcJboUtMexp/hJIaFGlpQQ4vf0i7mchypGQHckorwACcK1iGAkaMuj7SYiU8ohTs+vXr8cYbb/iaHR49ehSPPvooPvroo7AKJwVCDi+pq2CJQSlXYGTuEFje/xQF551ItjJovmhH/fZyLcb8ZEXBeSdSrAb88tVKpI8ahZHDh2BnxddB96IYFmP/a2m1o3IoVwDQOoHb/68B9WkyfDBRD8iDdx5X9BqCfx79WFR7Gn+EHFiuxsYghxfQLquLtJsJO9Unf0HFikdAARBK46lPleGmQaMiJVa3QZR2USgUAZ1ki4riq+MoXzWtcFTBEsPYw1bUnmhbUadaGQw/YUfPOleAA8LrMBqLKcCICThU9TPq/FayY/9rwfATwg48b7/6HiYPZnxpxHtTMnznvNWxGIbFzt/Et6fxJ8CBVVcXcI7L4dU+q4tkcoWXihWPcMZiep1aDNWqXK969oUIS9Y9EKVgR4wYgb/+9a+YMWMGZDIZduzYgV69euHgwYMAWtt6xzJc1bQivXL14nE6YSw9yHkus4m7E4Gx9BDmznsRN/T/PZbtWAMWLORuFgXnuW3LfGQ2eaByMHCoaKSr0vD09Q9CKVfggc8e5xzP157GH29SQ97Mm/HTfSvQ0hBsX/ZmabX+zJ3VRTK5pOdIyQ7e1GcKwNERPTHi5rlk5RpGRGmZ8vJyAK3ND/156aWXQFEUb8GXWKM1oSC6FRqFMptonngOr8Oolm4Ce9GG2plsL5oFMk0tqMpRwuRogs1th81tD9mexuugE8JjtaGFp12MfysZvs8eq5lc8UzVzk/B3/sC6GNyYyRRrmFFlLbZtm1buOVICMQ4iYQcQwwFyDiUrDfLKadFAQoUWLC+bC+u0Cw+GAqoT0sCENh6hs+JFqo9jdjP5Z+lJWYMoWucKDuEX7/6AslDi4CT/FlneVOmRlCq7omoWKvz58/jjjvuwMSJE2EwGDBv3ryQxV66Ex7GgzcPf4AHPnsc9+54FA/8/+3de1RTd7YH8G9CDK9IeKvFRystauuzOqXM6NBYa33WovIQizr0autCUS+yFGqpjrZcxd5WHRmpXjtX+5ra9lYcnT6mY62djiCrahXxUeogIgjBEEgg79/9g0lM4CSExyGJ7M9ariXk5LATf9kefvv89u+vv8efzn0Mo6n9r/xe3t4IeoJ7SkUewP3P0X/CWBy+fBSbT/635QrWIBK0LjDoBLnUCxqf1p9h3nrGvOKMS0fb01gzF7y4mFdpOXMM6br62iqcjFuA2uxcBH/1I/p99o3dtpsMwLinZ/dmeH2SUwk2JycHL774Ivz8/BAaGoo5c+Zgw4YNfMfmMcxtCeua68HALEWiwxc+5Tz+9AR/nIvyhdJfCCNaFwOci7LfO+FK8SnL+W3O87gE56L8oO7vXBK8HdoP4X4hmBUls9l6JmXcAsyKkiHcLwRCCDiPccZDqUsxaM5seIeHA0IhvMPDMWjO7HYrwjo6hnTNTy+lQ2xqnV81/xHi3nJY8x8TgMg3qWl2b3BqikChUGDy5MnYuXMnBAIBEhIS8P777/Mdm0dw1JaQq0ikNehwtvoS6ib1xw/jJZb7YEUGhv+wc0dAUIPeUpyyFuArReJrb0BqEtldUWXtV0p/pE7dYLMDAtD17WnaMhe8HG0l48wxpPOulZY43OpFP/9pNP90EYNnzaEr117kVIL18fFBTU2NZQfZkpISiMWd/wDejxy1JeQqElkfbxAJLKuxBsp1dn+dsC5OWWvSNsEII4xqnd0VVdYM9QoIGtWAP3fnMusVZ93RdsVWV48hzrvy7Zdw1LutSaXAc292vXUl6RqnEmxWVhZeeukl3Lx5E/PmzYNSqcSuXbv4js0jWK/MaourSOQn8kWQrxR3Wxpsvi8P7OdwlY25OGVmvdpLHCx2uE2MmTsVkmglV8+pvl0BSBzvDTfyqWd7KRpizakEyxjD3LlzERsbi61bt6K6uhpKpZLv2DyCo7aE1kUi6/252iZXAND4CCEP9LJZaGCmCBRbpgesV29Zr/YKmjQJNScc7xTrDoUkWsnVc9QqJf626mUEKXQOr171QiDqsUm9Fhe5x6ki17Zt2zBy5EhcuXIFEokER48epStYK84UiawLYfZ8PD0IdwK9YBS0FiOMAuBOoBfqXp5lOf+UH9WYcK0FUrUJAtxbCSUQCmyKR0JfXwh9fQGBwK0KSeaVXNraOoAxS/w3Dv6vq0PzOH9b9TJCFTq0NtC8127QuqClEwJjC3bbOwXhmVNXsCaTCZMnT0ZGRgamT5+OQYMGwWjkXnXUF3VUJHJUCDPf1woAJpEQH81qbS0Y2qCHPLAfND5ChNddxZszc5AQNRMXP8+AAc3tznO3uAQT/vC2TfEIcK+WgI7256KVXJ1TfbsCQQqOTupovUtA/ttRGD3jebpydTGnrmB9fX1x8OBBFBUVQSaT4dChQ/D39+c7NrdivRWLNa1BhxpVHbQGnaVI1LYC76gQZk6uIgODtMkAkYFB4yPErYHelmkBc7FM0KiGgWMpKnBvJZTWoIO8+S60Bp2lkOQoadl7XXxwtIrNerUXcay87Dx+2Pem/aIogJAxYym5ugGnrmB37tyJI0eOYPfu3ZBKpbhz5w7efNNxcwi9Xo/s7GxUVVVBp9Nh5cqVePrppy2Pv/vuu/jkk08QHNw6e7RlyxYMHz68Gy+FH/bmDIcuewHvXXKuA1WQjxQhfkGcSdZ6TtW6s9bpxyVgwtZf+szFMlE/Zr89YEgIvjnwFkRX/gV/lQGlEhEMjw3HjMwtEPVrf8eHK+ZCnV3tRbg1yGtwfnkaRCbA0f4fJgEQNTq61+Ii9jmVYAcMGGCzhXdmZmaHzyksLERgYCDy8vKgUCgQFxdnk2BLS0uxfft2jB49ugth9x573Z8u113Hich7xSpHHai8RWJIxH6cCbZtRyxzZy0A+G5S6+1UlmKZyP7eWEovPYJKfrZ83V9lAIqu4Yu81zAnO9fp1wXw19XKUXtDdyjAubvzy9Ps3utqTREoxqAHhvEfEOkQb9sSzJgxA2vWrLF87dXmqqi0tBTvvPMOFi1ahIKCAr7C6BZHc4ai0l8gMrRfiFhy6ydoDbZzY1qDDipt+3lTRx2xhldpMUgc1K5YxrUSKmzGMzDa2fZcVPoLmtVNTr+uu8VneZ0uoJVcXVNedh4iO8nVXNAyCgB5kBjT/rCvN0MjDvDWWso8R6tSqZCeno61a203UJs9ezaSk5MhkUiwatUqnDx5EjKZzO75XLE/vaM5Qz+VwbIVizV7iwvqW9rPLzrqiCVtYfj9r1ZCOniIzfe5VkLdvlUOvy++thtnfU0l/CLvbeHtzFwoX4sAPG0llyvGHZefT38NR1WPO+Mi8OuXM+jK1c3wurFWdXU1lixZgnnz5mHu3LmW7zPGsHTpUgQHB0MsFiM2NhaXL192eC5X7E9vnjPk0iwRWTYctMa1uMC8GKEtc0csLt6hYZCEhduNzbqAFTJwCNQS7v8rmyUihAy0TdKOXldvzYU6U4BzB64Yd9bqVHdx6l9FCH/iSYfHjV+USsnVDfGWYOVyOVJTU5GZmYmFCxfaPKZSqTBnzhyo1WowxlBUVOSWc7GOOl/pH33IZh8tM64OVN4iMR5/oP3rc9QRqzNzkn7+/WF4jLtAaHhsePveA9TVyu216Frw4v9lIu34K9hb9CfkXv0AejufVoMQiBw1vncDJE7hbYpg3759aGxsRH5+PvLz8wEA8fHxaGlpQWJiItatW4clS5ZALBYjJiYGsbGxfIXSLacn+EN1zbd13yu1Cap/V/n9nh2LWV4ilFjdRTDp33cRcLlS9zPn908/LoFvPx9EVmnRr1ED79BQBD/xq07PSc7I3IIv8l6DqPQX+KkMaLa6i4CLzVYvcnmXfy7hx6rjOWjS2c6r738+GMs/v2tT6DIIgfH79/ZydMRZAsaYvZaRbo/v/em1Bh3+86+/59wBNtwvBG/OzAGADjtQNWpUWHF0A0xoP98qhAB7Zm9DcD//HpmTbFY3ob6mEiEDh7S7cuVCPQE6j+9xV6e6i7Tjr9h9PGtEMmqLz+DhKc/Qlaubc+3+KW7OXucrwLaY1VEHqgplFWdyBQATGGrUdQgbENwjhSU///42Ba2OUFcr93NZft3h442BYjy7ouNbJYnr8VrkcmcanQHVcjU0OoPdY+wVpwAg0EcKP5H9JtnWhkkjILTzVgshxDBphFPncYb1yjLieW4panG73n6/CgB4NPSRXoqGdFefu4I1Gk04eKwUZy5Vo66hBWFWW3h7edkmQUedsu5qGpD19X/ZXb1lLcBHgiHSQahQVrV7bIh0EAJ8JN1/XVbdujpaWUbcj6pFjRWFm2BgGjD8u3ELx5aw/cUShEkc9c4i7qTPJdiDx0pRePoXy9e1ihbL18ufH9PueHPRquTWT6ht0wnL0eqttkaERXIm2BFhkZ17AXaYu3V1JTbieisKN8EADSDgzKsAWpPrH2Zzb7FO3FOfmiLQ6Aw4c6ma87Ezl6o5pwvMnbLeeGYjgn0DOZ/LtXrLmtagw7nbpZyPnb9d2u1f5zvatoamC9zbLUUtDEzD/SADkkfHYe/s1/E/cXnwFTs3LUXcQ59KsIpGLeoauPe9kje0QNFof4los6EFihbuJuPmgpfdn+vEtjLdwff5Cb9+vFXmcPdXocmbpgU8VJ9KsEEB3ggL5L4CCA30RVCA/duUHBW8uFZv9dRzrTWrm1BZfrldbwHzNjTdPT/pXQ3Kely4+AMekQ60Oy0gAPD44FG9GRbpQX1qDtZHLMKTowfZzMGaPTl6EHzE9t8OZ7eG6ennAoBBr7MsIrBuRfhMRg4+vHzM7jY0zp6f9C6ttgV/3rYOoeX1lhaVv23TotJMJPDB4CD7S6aJe+tTCRYAUuc+BqB1zlXe0IJQq7sIOmJd8HJm9VZPPfeLvNcQVHTN8rW5FeGft63DidHc1z7hfiFOn5/0rj9vW4fIn+71xLVpUTmxv+UuApHAB+88t801QZIe0ecSrJeXEMufH4OUWaOgaNQiKMDb4ZWrzXM72BqGj+c2q5sgKm1/xQ0AoeX1EI0MadcTIdgnEG88s7FHbv8iPatBWY/Qcu77XIdXafH06ldxXVmDxwePoivX+0CfS7BmPmIRBoV27eWbt4bpjefW11TCX8W9GEKiNnG2TGzQKNFsaEEAKMG6m4qbV+22qJSoTdAp6/HcGPfsy0E6r08VuTyRo1aEKn+h0y0TiXsYNnSE3RaVKn8hhg0d0csRET5RgnVzjloRyiPbTw8AVNhyZ4HSEMgjQzgfk0eGIFDK/RjxTJRgPcCMzC1QREehSSKCEUCTRARFdBQSN72FWVEyhPuFQIjWDl9tt5gh7idx01soHxsGpb8QRgBKfyHKx4YhcdNbrg6N9LA+OwfrSUT9xJiTncvZirCrRTfiOt7evliydR8alPWouHkVY4eOoCvX+xQl2C7QGnQuSWj2WhF2p+hG+OHMGAmUhiBwzK97OTLSm3hLsHq9HtnZ2aiqqoJOp8PKlStttu3++9//jr1790IkEmHBggVISHD/hiTUsYp0hMYIscZbgi0sLERgYCDy8vKgUCgQFxdnSbB6vR65ubn45JNP4Ovri0WLFkEmkyEszL2vwqhjFekIjRFijbci14wZM7BmzRrL115e9/73Li8vx9ChQyGVSiEWizFx4kSUlJTwFUqPoI5VpCM0RkhbvF3B+vu37uKuUqmQnp6OtWvXWh5TqVTo37+/zbEqlardOay5en96ZzpW0Tzo/acz447GCGmL19u0qqursWTJEsybNw9z5861fF8ikUCtVlu+VqvVNgmXi6v3p++pjljEs3Rm3NEYIW3xlmDlcjlSU1ORmZmJhQsX2jwWGRmJiooKNDQ0QKfToaSkBBMmTOArlB5h7ojFhW7sJwCNEdIeb1ME+/btQ2NjI/Lz85Gfnw8AiI+PR0tLCxITE7Fx40a8+OKLYIxhwYIFGDBgAF+h9JjudMQifQONEWJNwBiz10zd7fG9P709rroPlrgHZ8YdjREC0EKDLqEb+0lHaIwQgHoREEIIbyjBEkIITyjBEkIITzx6DtZoNAIAampqXBwJcYWBAwdCJOr9IUzjrm/rzLjz6ARbV9e6cdzixYtdHAlxhd6+e8SMxl3f1plx59G3aWk0GowbNw5fffWVTa+D+5n59qC+wtHrddUVrEajwaVLlxAWFuZw3HnivxXF3LE+cwXr4+MDABg2bJiLI+ldrrhqcyV3e70+Pj6YNGmSU8e6W+zOoJh7DhW5CCGEJ5RgCSGEJ5RgCSGEJ16bN2/e7Ooguis6OtrVIfQqer2ewxNjp5h7jkffRUAIIe6MpggIIYQnlGAJIYQnlGAJIYQnlGAJIYQnlGAJIYQnHp9g6+vrERsbi/LycleHwquCggIkJiZi/vz5OHLkiKvD4ZVer0dGRgaSkpKQnJzscf+2er0emZmZSE5OxsKFCz1ibb/RaERWVhaSkpKwePFi3Lx509UhOcXdP/8enWD1ej1ycnIsPQnuV0VFRTh37hw+/PBDHD58+L5vk3fq1CkYDAZ89NFHSEtLw9tvv+3qkDqlsLAQgYGB+OCDD7B//35s3brV1SF16OTJkwCAjz76COnp6cjNzXVxRB3zhM+/RyfY7du3IykpCeHh4a4OhVfff/89oqKikJaWhpdffhlPPfWUq0Pi1UMPPQSj0QiTyQSVSuWSjlndMWPGDKxZs8bytSd0eps2bZrlP4Lbt28jNDTUxRF1zBM+/x6bYD/77DMEBwdjypQprg6FdwqFApcuXcKuXbuwZcsWrF+/Hvfz+hA/Pz9UVVVh5syZePXVV5GSkuLqkDrF398fEokEKpUK6enpWLt2ratDcopIJMKGDRuwdetWPPvss64OxyFP+fx77EquxYsXQyAQQCAQoKysDA8++CD++Mc/Iizs/tvJc+fOnQgODkZqaioA4LnnnsO7776LkJAQF0fGj9zcXIjFYmRkZKC6uhpLly7FsWPH4O3t7erQnFZdXY20tDTLPKwnqaurQ0JCAo4fPw4/Pz9Xh8PJUz7/nvW7l5X333/f8veUlBRs3rzZ7d7cnjJx4kQcOnQIv/vd71BbW4uWlhYEBga6OizeBAQEoF+/fgAAqVQKg8Fg2abFE8jlcqSmpiInJwcxMTGuDscpn3/+Oe7cuYOXXnoJvr6+EAgEbj214Smff49NsH2JTCbD2bNnsXDhQjDGkJOT49aDv7uWLVuG7OxsJCcnQ6/XY926dW57JcVl3759aGxsRH5+PvLz8wEA+/fvd+tizPTp05GVlYXFixfDYDAgOzvbo35jcFceO0VACCHuzmOLXIQQ4u4owRJCCE8owRJCCE8owRJCCE8owRJCCE8owbqxPXv2YM+ePQ6PmTp1Km7dutWj0MwlUQAABhRJREFUPzcrKwtVVVW8nZ94BmfGX0eWL1+OO3futPt+SkoKioqK0NTUhLS0NADArVu3MHXq1G79PHdDCZa0U1RUdF8vxSW9Z//+/RgwYIDdx5VKJcrKynoxot5FCw26qaamBuvXr0dzczOEQiE2bdoEoVCI3NxcaDQaBAUFYcuWLRgyZAhSUlIwcuRIlJSUQKvVIjs7G5MnT8a1a9ewdetWNDc34+7du1ixYgUWLVrUqTiMRiN27NiB4uJiGI1GzJ8/H8uWLUNRUREKCgrg4+OD8vJyjBgxAjt37oRYLMahQ4fw3nvvoX///hg+fDiGDh0Kb29v1NbWYsWKFZbVMnv37kVZWRlaWlqwY8cOjBs3jo+3knSBK8ffwYMHUV9fj8zMTHz//fdIT09HcXExRCIRZs6cicOHDyMhIQGHDh1CeHg4XnnlFVy6dAkRERFQKBQAgG3btqG2thZpaWnIysqCRqPBunXrcP36dQQEBGDv3r0ICgri+23kDyPdsmfPHrZ//37GGGOnTp1i77zzDps7dy6rqqpijDH23XffsaVLlzLGGHvhhRfYxo0bGWOMXb58mf3mN79hWq2Wbdu2jf3www+MMcZu3rzJxo8fzxhjbPfu3Wz37t0Of75MJmOVlZXsgw8+YG+88QZjjDGtVsteeOEFdvbsWXbmzBk2fvx4Vl1dzYxGI1uwYAH75ptvWFlZGZs+fTprampiGo2GxcfHW36W+Zzmvx84cIAxxtjhw4fZ6tWre+qtIz3AlePv559/ZnFxcYwxxvLy8lhMTAy7cOECu3nzJouPj2eM3RtLBw4cYOvXr2eMMXbjxg02ZswYdubMGVZZWclkMhljjLHKyko2YsQIduHCBcYYY6tXr2bvvfdej71XrkBXsN0UExOD1atXo6ysDLGxsYiNjUV+fj5WrlxpOUalUln+npCQAAAYNWoUwsLCcPXqVWzcuBGnT59GQUEBrl27hubm5k7H8c9//hNlZWU4c+YMAKC5uRlXr17Fww8/jEceeQQDBw4EAERGRkKpVKKiogIymQwSiQQAMHv2bDQ2NnKee9q0aQCAhx9+GF9++WWnYyP8ceX4i4yMhEqlglKpRElJCZKTk1FcXAxfX1/ExsbaHFtcXIzExEQAwIMPPogJEyZwnjM8PBxjx44F0DrezFe6nooSbDdNnDgRx48fx7fffosTJ07gyJEjGDx4MI4ePQqg9Vd3uVxuOd66h4DJZIJIJMLatWsREBAAmUyGWbNm4S9/+Uun4zAajcjMzMT06dMBAHfv3oW/vz/Onz9vs6ZcIBCAMQahUAiTyeTUuc0xCwSCTsdF+OXq8TdlyhR8/fXXEAgEmDp1Knbt2gWBQID09HSb48zjzsxej1/r77d9jieiIlc37dixA4WFhYiLi0NOTg6uXLli+R8dAD799FOsX7/ecvyJEycAABcvXkRjYyOioqLwj3/8A+np6Zg2bRq+++47AOh096gnn3wSH3/8MfR6PdRqNZKTk3H+/Hm7x8fExODUqVNQqVTQ6XT46quvLAnUy8vLo7pX9WWuHn+xsbEoKCjAxIkTMWrUKJSXl+PGjRt49NFHbY6LiYnBsWPHYDKZUFVVhR9//BFAa0I1GAzdfh/cFV3BdlNKSgoyMjLw2WefwcvLC3l5eZBKpXj99deh1WohkUiwfft2y/GVlZWIi4sDALz11lvw8vLC6tWrkZycDG9vb4wcORIRERGdvjUqKSkJFRUViIuLg8FgwPz58xEdHY2ioiLO46OiorBkyRIkJibCz88PQUFBlivdp556CitWrMCBAwe6+K6Q3uLq8RcdHY26ujo88cQTEAgEGDVqFGdRKjk5GdevX8fMmTMRERGBqKgoAEBISAgeeOABpKSkeMQ2NZ1F3bR6UUpKClatWoXo6GhXh4IbN27g1KlTWLZsGQBg5cqViI+Pv+/uQyT3uNP46yvoCtYDpKSkcBagkpKSOn07l1lERAQuXryIOXPmQCAQYPLkyZDJZN0NldyH+Bh/fQVdwRJCCE+oyEUIITyhBEsIITyhBEsIITyhBEsIITyhBEsIITyhBEsIITz5f/MRoLv+iuSsAAAAAElFTkSuQmCC\n", + "image/png": 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3buQb3/gGX/nKV7Asiy1btvD5z3++3ssQ5gm1dMhUozXHQq0TWgh6T1q4NfQKHT0T57ndRxkY9V/z9liAh7esZn0TOIRmoiFxnl/4whf4whe+0IiphXlGLR0y1WrNsdDqhBZy02topqcyFi++2c+vDw0AvkNoS84hFGgSh9BMSIaR0NTUsnHbQje5K8F2PcYStTPTPc/j3U8GeeHNE6RyGUIreqI8snUNy+ucITRXRDyFpqaWjdsWqsldCfXITR8cTfPs7mMcPXPRIXTfZy7nM1f1NizQfS6IeApNTa13hwvN5K6EWpvptuPy2nu+QyifjXTtmk62b15FaxM7hGZCxFNoOJfypsvusLb43vQMll2b3ebRM2M8u+tY4ZilPRbgc7etZl1f8zuEZkLEU2go5XjTZXdYCzxSpkOiRt70ZMZi5zx3CM2EiKfQUJo5vfHtj8/z/ZcOLLgdr+vlgt5rUOm94BB64wSp3PiXL4nxyNbVLKsgEL2ZEfEUGkotvelzYf+RQf7nzw+DwoIq+JHOWgzHMzVpyDYw6mcITXIIXd2LqjSvQ6jStYl4Cg2llt70ubBzbz+6rqCpKtBcO+JK8PBjKy2Uqgvn1A6hLrbfupLWSPM6hFRFIRzSaQlXJoMinkJDadZYy8GxDG2xQInQNMOOuBIc12M8ZZIxHTpD1RWziQ6hjpYgD29Z1dQOIVVVCAd1IkENTVUrDpMS8RQaSrN607vbQiQyVmHnCc2xI54tppXrm17l2M1kxuLFN0/wzqFBwN/F3bZhGb9x42UE9OZ0CKmqQiSkEw7oFVdSKkbEU2g4zehN37apj//588PYitNUO+Jy8fAFLpmubsFiz/N459AAL7zZX3A4NbtDKC+akaBe1bNXEU9BmIINa7tpa4vMS2+7m+srlK1yweILo2me23WUY2f9knahgMZ9n+nj5quWNKVDSMvvNKssmnlEPAVhGm66qpeV3ZFGL2NWZC2HeJX7Clm2y2vvnea1987MC4eQriqEwwbhgFZTUS9bPMfGxtA0jVhsYVRyF4SFhOdBIlP9vkJHzozx3ASH0OduW82Vl7dXb5IqoasKkbBBOKihUPud8IziefToUf7dv/t3fPzxxyiKwvXXX88TTzzB8uXLa744QRBmphbtfxNp3yH07icXHUJbNy7jrhuazyGkqdAaCxAJ1NeQnnG2//Af/gNf/OIX+fznP4/neXz/+9/nP/7H/8g//MM/1GN9giBMg6JAxqyumT6VQ6ivN8YjW9ewtLO5jjB0XSEaMujpiDI8lKj//DM9IZ1O86Uvfanw769//ev84Ac/qOmiBEG4NB4wXuX2vxdG0zy76yjHixxC2zb1cdP65nII6bpCLBwgqGsoSuUN3Oa8jpmesGbNGt555x1uuOEGAA4dOsSKFStqvjBBEKam2t50y3Z59b3T/LLIIbRhbRfbN6+kpYkcQvmdZsjQaQYtn1E8z5w5w9e//nXWrVuHrut89NFH9PT08NBDDwHwk5/8pOaLFISFxo7dR3npV6fImDahgM69N6/g4dvWzHidabmMJbNVM9MPn/YdQkNx3yHU2RLk4SZzCDWbaOaZUTz/9E//tB7rmDfUqpOjMHtq8V4Uj7msJ8bd1y+v+vu7Y/dRduw5joKCpipkLYcde44DTCug+dz0RJWC3hNpixfeOMF7hy86hG7fuIy7bliBoaszXF0fmlU080wrnkeOHGHt2rVEo1NnDVxzzTU1W1SzUstOjsLsqMV7MXHMkXi6Ju/vS786VRBOAE0Bx/Ufn0o8i3PT54rrebx94AIv7i11CP3m1jX0NolDqNlFM8+04vnEE0/w93//93zxi19k2bJleEU/d+l0mjfeeKMuC2wmmrn25GKjFu/FxDFDhobteFV/fzOmPcnJoSr+4xOpZm76+ZEU333hAIdPjQK+Q+j+TX3c2CQOofkimnmmFc9vf/vbjI6OsnbtWp566ik8z0NRFCzL4mtf+1o919g0NGvtycVILd6LwbEMigLnx7PYjouha8TCetXf31BAJ2s5aEUC4Xr+43mqmZtu2S6/ePc0u/ZddAhtvKKLB25pDoeQrilEw/NHNPNMK55/8id/wuuvv46iKGzevLnwuKZp3HfffXVZXLPRrLUnFyO1eC9CAY2zQ0kURUVVFGzHZTieqXrBi3tvXsGOPcdxXH/H6Xp+E7Z7b/ajWFzPZSxRHW/6J6dGeW73MYbjWQB62sM8eOtKPrWi8Q6h+SqaeaYVz+985zuAHyT/X//rf63bgpqZZq092SzM5MCphoMnP8bpwSSZrEMsYtASMUrei4rn8TxAAbzcbk/x/8tt/ap1f/lzzby33dBVYiGDXx0Y4NxIik+v7mLN8rZZvS4TmegQ0lSFrRuX8+hvfIrE+MWd9MH+EXbtO8PIeJaOliBbNy6fshZnuc8rh5lEc744ZbXHH3/88Us94Z577qnTUsojnTarmrs7G3o7I/R2hDl1IcFY0qSzJcijt6+Z9RsbjQZJpcwarbIxfNw/ynd/+iGm7RIKaCSzNvsOD9LbEaa3M1Jwxkz393IoHiMWNvA8j2TGxnFcetrDPHq7L0qVzvPi3n7CQQ3L8XBcD8NQaY0a2C70doYvOe5s729dXwcPbF7JqmUtHDo5SltrkNZogDODKd4/OkR3W4jutvCs3wfX83j74AD/+NJBTg0kAVi5tIV/fd86Nl7RTSwWJJ22AF8Qd7x+DMvxCBoaadPhwImRSXOX+7yZ0DWFlmiAtmgQQ1OnFc7Zvn9z/T4pikKkguMLqao0S5qx9mQz8KNXD1/SgVMNB8/EMdpiQUJBnfZogMe+4idxPPG9dyqeJ38UsLTT/yIZukoibdEeDcy4/krv76W3+ulqC6EqKsPxLKqioGkqu/admfXO7vxwimd3HePEeT9DKBzUuH/TSm5Y1zOlQ2jXvjNomlrIVQ/oGmbu8eK5y33edOR3muEycs/nk1O2OQK6hHnP+eEUgQnxgcUOnMGxzCX/Xg7ljDGXebZt6sNxXLKWg+d5ZEy7cBQw07iVzut4vkNnNJEtWFSGpjIynp1xvXks2+Wlt/r5v/75/YJwXndFN3/8r667ZGrlyHgWQytd81Rzl/u8iei6QlssQFdruCzhhOp8TuqF7DyFqtDbGWFgJDWtA6caDp5yxpjLPBNbghQHyXe39V9y3ErmTWYs8DzGkmZJpSLLceloCc64Xsg5hHYdYzgnZF2tIT5322quWDHzmWlHS5B42ppx7nKfl8fQFaJFueezYT45ZWXnKVSFR++8omTXlrWcEmfaxF3dxL+XQzljzHWeDWu7eewrN/DEN2/lr765pSCoM407m3ldz2M0mWU8ZXHLNUtxHBfT9q8zbf+6rRsvXfJxPGXy/Vc+4R9eOMDweBZNVbjz+sv4P76woSzhBNi6cXlZc5f7PENXaW8J0tkaJmTMXjihOp+TejGjw6jZaKTDqFosRIfRp1Z2Egtq0zrTquFsK2eMajn1oPR9mmnccuc1cya6abkAdLeF6W4LcX4oRSLln6/ee3PftGeJrufxqwMX+MeXDnE65xBatbSF39q2ng1ru2asMBQOBwoOo3LnvtTzFCBgaLRGA7REAuiaOqcyxJW8f41yGCmeN7+kaGgogVvlToD1pqenhYGB8UYvo6rIPc2ERyrrkEhZuBV+5c4Np3h211H6z/u1K2dyCE1FZ2eU4eFkRfMXoyj4SQQhnYChQh0qt0/HXN8nVVXo6pp9hww58xSEGuN6HuMpq5BLPlss2+WVd06xa9/ZgvBed0U3D2xeSSxslD3Owf4R3th5kIHhZMWxmorie9ujIYOAkYuDXaSIeArzivkSQJ3HcvzcdMuubLd56OQoO3ZPcAhtXc0Vl80uiD4fqxkwNEJBnXjaYsfrx3gYyhJQRfHDhiIhg6Chzvujs2og4inMG+ZXVavKzPR8Js/QWAbb9ZMAwM8Quv265dx53WUVlYzLx2oGc8VOyo3VVFWFUEAjEjQwdAXPQ4Qzh4inMG+YLwHUlZrpB/tHeG73USzHI5WxCyLV2xHmy/dcyZKO2Wcc5RkZzxIKln7dLxWrme9EGSpq3yuiWYqIpzBvmA9VrUw7V0LOmb3S/PztkyTSduFaRYFoSCcS1OYknHAxVrN41zpVrGa+LFy5Qe2LGYnzFOYN3W0hTNsteax5Aqg9klmbkfHMrIXTtB1+9lY/pwZThWvDQZ0lHRFaIgFGE3MPa8vHaubjJyfGahq6QntLcFbZQIsdeZWEeUOzVrVyPY94yiSTnX0JuUMn/ZJxefNZUxXaY0GCAf9owrSdsrONLsW6vg4eBt746ELB2377dcu5ZnWnnw1kaIvYb14ZIp7CvGFi+mQzeNtNyyWemr2ZHk+ZPL/nBO8fHQJ80fz06k5OnI+jqH7/dMtxy8o2Kpd1fR1svm4Fw8NJDF0lGjZENOeAiKcwr2iWqlYfHR9i1/6zHDsTJxY2yo6ZdD2Ptz4+z8/2niwUO169rJVHtq6mpz1c1bqZU6GrCh0twZLccaEyRDwFYZZ8dHyYH/3yKONpC11Ty46ZPDec4se/PMrJC36GUCSoc/8tfdxwZQ9KzqO9rq+jqmIJfhi7YWhEQzpLOiMMDiaqOv5iRcRTEGaBaTm8+OYJ4imr7PqWpuXwyjun2L3/LPnM4huu7OH+W/qIhsrPEJotedEsTqFU5mO/iyZFxFMQyqC4IduZwWTZMZN+Zs/xwt+620I8snX1nNtsXIqLeeeSQllLRDwFYQZczyOevNg3vZz6lvGkyU/fOM4HR4cBCiXj7rhuObpWmwhByTuvLyKewryjnvntUwW9b924nB2vH8PE33EWe8VdN+cQemtqh1AtKIhm2CCgi2jWCxHPRUYjCmtUa879RwZ55tUjnBlMomt+c7ba5bd7xBNZRsYzk9IS8zGTE73irdEAf7/jw4sOoZDOA7es5PpPddfkrFFRIKhrRMJSrKMRiHguIhpRWKNac+bHGUuYKIqC63mMJPxiuZqmVjW/3cMjnrQIM70gFXvFTcvh578+xevvX3QI3biuh/s39RGpgUNoKtEU4aw/Ip6LiEYU1qjWnPlxXM8rVEv3M3ssejvCVctvt12PsUQWy3YJR2fO7DnQP8KO3ccKKZQ97SE+d9sa1ixvrcp6ipmqLJyIZuMQ8VxEVLuwRrE5XtwsrRZz5sfRNRXb8VAV/2TPtt2q5LcrCqRNh18fvMAvfn2KkfEsPZ1RNl+9ZMrwo3jS5Kd7jvPBMd8hpGu+Q+j2jdV3COVF0z/TFNFsFkQ8FxHV7Ew40RwfiaenNMerNWd+nNZogOF4Btfzd5+aqsw5v93zYDxt8d6hAZ7dfRRNUwkFdcYSmUnB767rsffj87xU5BBas7yVR25bTXeVHUKKAsFAznsuotl0SFWlRUQ1OxMWm+OKohAK6IWzx1rMmR9HzaUXqoovZEvaQ3z1s1dWfOzgun5DtmTa4rX3TqNpKgHdv6egoaFpKrv2nQHgzGCS//u5D/jJ68fJWg6RkM4X71zLv9l+VVWFU1H8qkpdrWE6YkEMTZxBzYjsPBcR1SysUa45Xq05J46zZnnrnCIFFAUypkM8aeLkvDzTFQwejmd44c0T7ClyCN20rodtVXYIKQqEAjrRkFRtnw9I98wG0OydJssJLXrie++UmOOm7TI0msbzoLczDJ5HxnKbovLRVIynLVIZq0Sc/vtPPiwJftc1hdFEllTmYoHinvYQj2xdw+pl1XMI5XeakZBe811ms3/2KqFR3TMbZrZ/+9vf5lvf+lajphemIX+WOZo0S0KL9h8ZLHlesTmeylhcGE7huB7hoMbZoSRnh9OAN+31jcJxXYbHfTN9okjlCwabtoNtO5wfThFPWtiOh64p3HPTCv7g8xuqJpyqohAJ6XS1hWiNBNBVMc/nEw0x29944w1+/OMfc+eddzZi+roy1S7u7p6Wms8x004vH3B+fjgFKPR2hPjCXVeUnGWmMhbxlEXWdPjrZ94nFtZZ3h0tGX/n3n6OnB5DwUNRVeIpCwVQFI/xtM3SzsAlQ5MqDaCf6bodu4/y0q9OkTFtQgGd7Zv7uOvGyxkvMtMnsq6vgwc9jxfeOMGF+MU89Ssua+Ph21bR3VYfjNHbAAAgAElEQVSdc01VVfydZlBDU+e2f5lv3UQXEnUXz9HRUZ588kl+//d/nwMHDtR7+royXYB4W1uEld2Rms4B0weh7z8yyHdfOEAybeJX2vE4O5zmu89/jIefu53KWAyPZ/FyQuN6HsmMxfmRUq/6hrXd/OFf7yKdtcmfAHn4Z3VmLhd8utCkSgPoZ7pux+6j7NhzHAUFTVUIBjR+uf8s8aTJHdevmHbcM4NJfvHOaYZywtkSMbh/00o2XtFVlQwhVfV3muGAXohVnQvzq5vowqPuZvt/+k//iT/+4z+mtbX6QcTNxkSPdN57+6NXD9d8jole74nXZLI2iqKiqQqqohQcKI7j+fncuR1kfo+mKKAoKumsPWl8x/HwoDBOgdz/TxeaVMnay7nupV+dQkEhaKj0tIcxNIXB0TSvvXd2yvGylsMLb57gb3/8PqcGkoDvEHr8f93MdVVIrdRVhdZogO62ELGQURXhhMpfP6E61HXn+cMf/pBly5axefNmfvSjH1U0RiUHu41iOGHSEtZLvny6pnBhOEVPlUz36eYYSZjTzjGc8E1XXbtYRELF310GDA08P/hcU8H28mOqqArYjkc0pJeMHzA0PxRJAU1VsR2/SZuiKCTSFvGkSTpr8+Qz+3n0ziu46areitdeznUZy6ElrNMaDRJPmaQyNqoCWduhszNaMtb+Twb4p5cPMpLbbS7rjvKV+9bxqcv9uM5ouHJvuqZCNGQQCQeqJpjFVPr6Veuz10w04p7qKp4vvPACAwMDfO5zn2NsbIxUKsVf/dVf8Wd/9mdljzGfvO2dscCkAPGs5bCkM1I1j+d0c3TEAtPO0RkLMBrP4LigKhfNclVRWNoZZtumPv6fHR+RtXzRUXLZPI7rfzmTGbtk/KWdYTRNIZm2sB0XQ/fTKPH8TJxoSKc1GmBgJMXfPvNeIS6zkrWXc89L2sOAx+BouiDkjuvngw8P+zvLsUSWn+45wYfHL2YI3XX9CrZuXIauqQwPJ+nsjBaePxt0XSEWDmAYGpmUSSY19+6XU1HJ6yfe9slU6m3XHn/88ccrnnWWPPLII3zlK1/hy1/+Mq2trQQCAf7zf/7PsxojnTbnjUeyJWKw7/AgrudnwuS7Pf7rB66mPVKd+MDp5nj09jX0dk59rtoSMXj/2DCmZRdeS8/z20J88a4r2LC2mxVLohw+PYaR61LpP88jFg6gQMn4LRGDj4+PEArqhc6PIUOjPRogFNSJhg0URUHXVFwPTl1IsOXaZRWt/VL3/Pk71tDVFiaVNnn38CCO46EArq/j3HndclYubeWND8/x9MuHODecAnyH0G9tW8/VqztRi3aI4XCAdNoq+70wdIXWaJCWSABDU2teGK6S1y8aDZKqkZg3irnek6IoRCKBWV8nQfI1ZLoA8Zuu6q3ar38lQegb1nbzOw+sL/G2L+30ve3564rHdQaTOLlwnd6O8KTxN6ztpq0twvdfOlCyhn986dAlA+krDaCf6rrtm1ey+rI2hscybLpmGcmMze7958haDkFD47YNS1m3spO/e+4DTufONaNhg+2bV7Jx7dwcQo3qRNmM3UQXExIk3wAWi+k0MZAefLOyPRrgsa/cULW5Xc9jPGWRztpT/j1rOfzL2yfZ88G5wk775vVL2Lapj3Bw+v3DTGb7fGzfu1g+e7OhUrNddp7ClEwXBzqbXc22TX08/fIhsvg7zrxZWUku/XTxjFNVei/mo+PD/OT144wlfbNuSUeY39y6hpVLK3MwFHeiDMwj0RSqj4inMIlLxYH+zvaryhbQapmVU8UzPrf7GJ4HS7siU56Bjyay/HTPcT46PgL4DqHfuGEFt21YVnHJuEChE6X0PBdEPBcd5WSkFMeB5v0nLh4Z05l1EeN8IP1cKI5n1DWVjpYQ42mTn+45xr958JqS57quxxsfnuPlt09iWr6n/VMr2nj4ttV0tVZW89PQVWI587waSFbQwkDEcxFRbkbK4FgGx3VLUgf9UCWvahXbZ0O+glMkpBM0NMaSJpmsTWbCGefpgQTP7jrG6UH/nDKWcwhtqMAhpCh+RaWOlmBVzXPJClo4iHguIsptidHdFiKeNHE9CjtPDz8cZq4V2yuhtyOMCygoDI5mcD2vpNVv1nR4+e2TvPHhRYfQZ65awn2fubRDaCoK/YFCBj0dYQYHnareSyNaoQi1QcRzEVFuDc5tm/oKZ56O56dceh6EgtqcKraXS7FZ2xYNoGsKpweSZC2HWMRA09RCq9+Pjg+z4/XjxHMOod6OMI9U4BDK19KMhPRC1fZadLysdisUoXGIeC4iym2JUU4caK0oNmtjYZ1U1mY4nsmlksLouMmSjjB33rCCtz6+wMcnfIeQoan8xo2XcduGZbOqVFTvAsTVbIUiNBYRz0XEbEKHquHoqYSde/sxdI3uthAXRtMMjaZxPQ8XlZ6OCFnLxrJddrx+HNO+6BD63G2r6ZyFQ0hVFEJB3zw3tPpVbc/v6oeLzpVDQZ0v/cYVtZ9cqCoinouIqUKH1ve188wvDvPXz+zH8/yA4WVdEW5a18OB/tEpPcKXqlE6MT60NaITDhlkTKfw3IlrKB57LGnS2xEhmbUZGEn5lZoAx3YxLYexhFmI6YyFDR68dSXXrinfIXRRNHX03A617mkihQmVCf9eOCyGiALJMGoAc82IqNYHc/+RQb77/MeMpywmvqKKAu2xIC0Ro7BD/epnrwQomNXFu9f/7QvXMTaWKokPBQ/H9f+vuz2EpqmkMjaWZeO4vvdeUxVCAa0QP/r3Oz7g5EASPBgcS2NZ7qS1wewdQsWtLvQyzfpaZOPUK+tqOuqRYVR89FL8GZlLo75LIRlGQllUM9Rl595+MuZFb3Jx/U7Pg3TWpjUaKPEIA1N6i3/06mEs0y6JD7WKsn7GUxa9nREGRtOFPHlV8VMr06bDv/yqn77eFq5a2cGhk6NomoquKkxV7uGmdd08snVNWfeY73keCwcKZ5qNZDE4jBZLRIGI5zyjWh/M/UcGOXI6jpUr2ZanWEDtor8Vf8Gn+vJfGE7hOG5JfGihYlPRWE5OUNWcmR0OaLREDU4NpMiYDlde3sHDW+AX75xiaLRUUDRVIRLSGC5qkVHMwf4Rdu07w8h4lu62EPfcfDkbr+ghaDRPz/PF4DBaDD8QIOLZVJRjjlfjg5nfvU48JpyoLcVpjMVf8Km+/Es6I1imXRIfmg9xUiaMlac1YhAM6AyOpnEKdTc9BkYznBtOF9YTNDTaYgF0TcXzPEbGJ4vnwf4Rdrx+jICh0dsZQdNVXnjjBEFDa6rdTjXz/ZuVxfADAQ3snimUUm7Xyu62UMHLnGe2H8z87rW9Jch0Bc7zZ4Se55G1nMIXvLhrZvHfHr3zCtb3teO4HrbjTlpjS8QgazloqoKhqXS1hVBVhfMjKSzbpastzKkLCf72x+/zwpsnMG0XTVVoiRh0tgYL4lscHF/MnvfP0tkWYnl3DEWBZMoia7tN15Jiw9puvvrZK2mPBkhlbNqjgZqdBTaK6T4jC+kHAmTn2TSUa45XY+eS370qikJ3e5iReKZwPqmV4W3Pr7f4bwCvf3COlohBMuOHE3kexEIa7S0hMqbvFLn92qW8/ckQgyMpEmnLdxgFdTpagvztsx8Uxm+NGNxwZTf7jgxhOS6GpmI5biE4Po+iQEDX0HQV1fMYiWcKO9ZmNRUbFQZWLxZLnVERzyahXHO8Gh/MYrMqHNQJ98QKHt9tm/rYubef3e+fo7stxNfunbwrmurL/+Qz+3NOLIO2WC5tcoIX2XE9xtMmkbDBL987g5pz5sTTNgf6RwFfvNtjARRVYd+RIW68soejZ+KMjGfpaAmydeNy1vV1FEQzGjYI6AqKB6NJa8GbivOFhf4DASKeTcNszonm+sGcbve6vq+94MkHj6Nn4vz1M/tZ3h3lC3euveSc54dThIzSU6Bi8Tcth3jSxHY9rry8g/GUxYtvnmA0ebHNRSSk0xYNFGI2TeDomTjfeOhi5aSCaIYMAsbFBnb3LYKzRKG5EPFsEqrlSCg3BjRoaCWFjr/02SsLRweO4zKSMFHw87svTOjVPtWcybTF4KiNoau0RgwiIT8+dOXSGONpi1TGwvP83edzu47y9sGBwvWGrmLZLkFdKQl2NzS14ByaTjTzLBZTUWgeRDybhGp8+cuJAS1+zrLuKKbtks05d/JHB+fHsyjkwolysZj5fuDF69l/ZJBnfnGYM0MpVFXB8zxs22V4PIvreXS3hfjM+iUkc03UTl4Y59ldxzg75DdeU1WFtmiAUEBjcDRNIm0TDl1sxGU5Lt3tIYLGRfN8omhOfA3rKZaLIYtGmB4RzyZirl/+6ZxOz/zicOFLnsrYBAMakdBkx1T+6MC23YtFkD0/zGji+WtehIfjGTyPQsqkp3hEAjot4QC3bVjO5b2tZEybn711krc+Ol9w5kSCfjvifLfKWMRgdNzEtB0MzW9d3BoxeOi21XS0BLiUaDYCqcspiHguIKZyOtm2w4V4liWef6Y4PJ4la/nmdT61MS+MX7v3Sl8QVAXX8wrthlujwUnnrzv39mPZLhNi7GmNBOnpCDEaz7JmWSvvHx3ip3uOM57yd5/LuiIogOm4JW1+NU1lSUeYloiB7bos7Yyy5dNLuWZV16xegx27j/LSr06RMW1CAZ17b17Bw7eVl400G8r5oZLd6MJGxHMBMZXTKZ600Iu+5IauYtsu8aRZEM+8MOa/5E/tPMDQuAn4aZSW7aJrSsn56+BYhnT2YmpnwFBpiwWxbZcTZ+P0dkT4HzsPcvDkaGHee25cwa3XLuPwqVF2vH4MEwohSHgej9yxhuuu6Km43cWO3UfZsec4CgqaqpC1HHbsOQ4wKwHNm+PDCZPOWKDsZIWJP1SyG13YiHjOYyaeua3va+f1D86VOJ1sx6WraMfYGjEYHs9i2Q6pjJWrUuSiKxQC8lVNpT0WIJ11sByXRNpi+y2lAtLdFmJ4PIuuQSQUIBzUiSfNQvvfM0MpnFwBl/V97Ty0ZXUhuH1dXwcPA7v2nWEsabKiJ8rdN13Op1fPbpc5kZd+daognACaAo7rP16ueBab4y3h6QWwnB+qhZrTLfiIeM5Tpjpze/2Dc1yxvJV9R4YLZmtnaygXeuQTCRlYtks6azM0lkHXVDpbg9ieXy0paGhF8Zr+NVnL4UD/KA8Xzb9tUx8nBz6mJWJg2Q4DIymKi105rn9m+eCW1VyzqmNSybh1fR1cs6aTWDhQtb7nGdMuCGceVfEfL5dic1xRlFklK0z8oYLmDdQX5o6I5zylOKzo/HgW23ZRFNh74AKtkQCOq5HK2qSyk4VDVaEjGsAI6DiOSzxlYZpZyOWiG7oKnofjegVBPDeU4n9/8jX6eltY39fOgf5RWsIGI+NZsubkPj8BXSWZtvjBzz+hqy3Itk0rWdfXAYCuK5wdTPHL905z8kKSztZgVc4GQwHdTwEt0k/X8x+HqXfqE7Oo5pKsoKsK9oRyibUM1C/nfqYLLZNz2bmjPf744483ehGzIZ02m6I6zlyIRoOkUlMVWyuf53Yfw3X9eEzP81AV3+Ptef5O0XW9KetgQq7cnOmgKB7xlIXjlNbMdHOiOfF6y/Hz1s8OpxlLmAzHM4UqSXlUxb/Oyc2vKJDM2Bw+PcblvTFWLm3h1IUET790iPGc5z+Ztdl3eJDejjC9nZGKXxPbcTh4crRQjMS/B48Hbukjazk8/fIhTNslFNAYHs+y/+gQlu0SixiFNYQCGpbjoWuq7zhzPUzbpbMlyJZrl5XM19sZYcu1y/jszZez5dpldLWF2Hd4ENfzM6XysbqP3r5mTvc1FXnLI38/Q/EM+48OYTsesbAx7Wv6cf8o3/3ph4XrqvXaN5K5fp8URSESCcz8xAlIYZB5it/h0irEY5aYxVMIXzF+8Dsk0nZJCbpLoSrQ0RIkGNAZHc8ymsj6Zd6KnqOpCppWajZrqkJr1KA9FuTXBy8QDug8v+cEiqqUmMb5OFLwheGJ773DY3+3hye+986k4ijT8fBta3j41lUEDQ3H9QgaGg/fuoqHb1szyRxPZ20UlNyPyMU14HkVF7WoZ9GPSfdjOv79ZO0pX9M8P3r18KRjiameJ8yMmO3zlG2b+vjrZ/b7oqn4u6y8EOYijKbFw//VdHM1LmfayYcCGm2xIOmsnctKujjOxJHdotClaNigIxYgY9pcGEkXCi9fyjSea/zkw7etmdI5NHFO2/FjWW27tGZpKmPztXv9bKuRhEnHNN726ahXoP6k+8nF5k5XgzXPTGm0QvmIeM5TNqztZnl3lAsjfoM0XVOJhQOMJnzzJV9Lcyry9TXzz8mb+LqmFMxwD3+32RoLEjQ0RuKZSWXmADSVQqxn3jEVDKi0RAJYtstwPItpO37vIEPlie+9w1giSzxp0hYLEAkZwMWzwVpVIZ/oHdc1PyVU1yfXLM0LYD1aVlTKpPvJhaAZU9xPMb2dEQZGUlJApQqI2T6P+cKda2mLBehuD7OkI0woqBMJ6n52UBm7yfs39dEWC9AWC6DlOkiSy4CMBHWWdEbwPI/zw6kphXOih1xTVbpag0RCOiPxTE5wHTzPF9l42mY0adLeEsRxfWFNps0S03hwLENAr/7OaGKNyXBQx8MjHNDmZc3JSfcT0Pz7maIGazGP3nnFoqi1WQ/EYdQAquEwAn8X0dvhFxEeS5p0tgT5X+6+gk1X9zKayJK1HP/807voPFIVuKw7wlfvXcft111Gb0eYc8N+CwxVUYiGdNZe1kp7LMDASIrxVKm3PqCr3HBlN47jkTFtXBfCQY3lPTF/h5owSaYtQjlRUlBY2hkmEjIKO0pD9/8zLYeM6bK8K8Kjt69hw9pu3v1kgGTWnlTFfiqHzVxeqyXtYbZ8eikZ0ym8dvk15KnW+1QLJt1Px8z3A/CplZ3EglrJZ2aq580nGuUwku6ZDaBZzUFFgYzpMJ40uTCaZsfrxzh0cgzwRfOemy5n86eXFmIpFQV++IsjpC0bFYVErgDIVN0gH/u7PYUCzHk8zyOVsXnim7cWHqt358VL0azv01yQe5qMdM9cBNQqPu/9I4Psfv8sIwkTPJfWaJD9R4YKxT6uWtnBQ1tW0R672P4iX+loYDRNxrRJpG0s20HXVFoixiQzu9x6pVJaTpgviHjOE/I7Mj87yGF4PMuRMx+w/Za+ORW++Oj4MDv2nGA4nmZ03MyZ9/6veGs0wEO3ruKa1Z2F5+u6QiwcyHls/TJ0w/EMqqqiKgq24/97WVe0ZJ7Z1CtdDFXIhfmPiOc8IV/FaDztx3Zqiu8lf/6NflYta61IbFzX5YU3T9B/bgzbKfUxRYIaf/zFjQQD/k5RVRWiYYNocMJHJu9lygWk+0x29cuOUlhoiHjOE/JVjApFiskXvnBnHcbj4Z81JtIWB06MMNURcirrcPxcnPUrOwgFdFrCOqo6OTgjY7l0tARIZmxMy0PX/YIaGWuyd152lMJCQsRznpCvYqTlKrs7rldIQzwzmCxzFI+M5ZJImVwYSfspntP43lQFXnvvNF3tIa5d3TVthEP+LPOynhBWLpwp7zAShIWMiGed2X9kkJ8/s5+zA4lZma7bNvVx5MwHOI5bIniK4uep7z8yOO04iuI7ZxIpi2TGYvf+s7zyzqmCQ2gi0bBBe8xA01Ve3HOCT1+iIHH+LDNj2qiKIo3XhEWDiGcdyTt9/DYYs0s93LC2m+239PHc7uOFxzQVyMVmTme6u65LImOTztocPzvOj3cd5cJIGoC2aIAbruzmrY8vkMzYBA2NtlgAx/VIZ200VWUsc+n4ufycP3/3zKx/EKajllV/pKKQUC1EPOtIPvUwFND9bpFlpB5O/LKHAiqup/gFjHOdKsNBfVJokOt5JDM26dzZ5s/e6udXBy4A/k701k8v5Z4bLycY0NA1hbcPDhIwNOJJv8Sc39BNobcjPON9bVjbzd23rK5K/GAtewNJ3yGhmoh41pGZCmJM3BEBfPeFAyTTJo5LQSBVVSmkRpqWH7bkOh7f/D9fZdWyGPdvXs3yzgiW47LvyBDPv3Gi0MGyqzWI58HeD8+x98PzXN4bpSUcIBLSODec9j35qoLrQTxpEg1qPPZ3e+q2S6tVbnutx17MLNbdvIhnHck7VwITAsVDhjrljsjzYDxpTkpTd91c/U7bYcx0UBS/+2Rr1ODCaIb//pMP+ezNl/P+kWEOn85lCBkq113RzQfHhkll/AZw7S1BxpI2Jy8kaY8F6GwJEk9ZfoUe1e9dZM+iH081vkTlFiOuhFqOvVhZzLt5KQxSR/LFHDKmXVKUAUWZssbi0FimOHJyEq4L0ZDOko4I4YDG0GiGsYRJKmPz7C+PFYTz6lUd/PEXNzKYywZqjQboaguRTFkMxzPYjsdowiQSMljaGWHFkhgKvrCUW/fx7Y/P8/TLhxhNmiVfonJrcebpbgtNKkJSrao/tRx7sTJV25LFUh9UxLOO5IvldrSGS4rlZkxnykpCl8rgj4R1lnZFCAZ0hsYyjIxnsXKe+HwV+LZogK/deyVfu3cdbbEgibRFd1sYXVMZGEkXmrWBX4W+uNKO7bi0Ro1Ja5pul1atIrsTqwVVs+pPLcderNSqCtZ8QMz2OjOVc6W7rX/KvO98GmMxAd1v8RswVMaSJolcP/SJ9TvbogZ/9K82lrQcXn1ZG/s+GSRjOiU7WQX/HLU9GrjYj0cBe4J6X2qXVq0iu7XMRJIsp+pTbs2ChYiIZxMwXd73A7f08bO3+kmbLpqm0BoNYugq8aRJyFFRivamxcIZCmg8snVNbhfox23GQgabr+7l7Y99j/vEXe2yzjCPfeWGwrnlWMoik3WIRQxaIsaM8ZvVLLJby0wkyXKqLrOpWbDQkHqeDWBi/cHi2owXRtNksnmz0mXz1b14nkvQ0MmaNo7jEg0ZmJaLbXslge6qAj3tQR7ZuoZ1fR0EDI32WJBwrntkb2cEPI9DJ0dLxDMcUPnX29ZzfiRVaCoWCxt4uXCnTNbCtFy/MPJImpaIMalZ2PIlLbz14dm6ND+rF81cz7NSqn1PU9WUrXd90EbV85SdZ5OQ/7AV17LM2g4fnxzlzutXsHJpK+D3qPnlvjO8+u7pgnBes7qTB29dRVsuJTK/24wGDSa0S2fVslZikQCZrI3jumiqimH4H4OJoTxtuRJ0ybRNV3uAgK5O60296apevvrZK8UkXoQs1t28iGcTkRevlkiAaEjHslwG42me3XWUaMjgwmiarOUWcsjbYwEe2rKaq1Z2FMYwdIWWSLDkED9vip8eTJJM23j4nSXbW8KEg36v87zoTQzlSWcdXM8tKzZy4pli3lm0GL9YwsJHxLOJGE1k6ekIoygKZ4cSDI+b2JbfU93QslhFJvo1qzr4wl1XFERNUSASMjh5fpzvPv8xA6P+7m99Xzuvf3AOy3ZJZW3c3JmH35wtQ2driFBAK+wWJx7+W46LoZXnCFrMMX/C4kPEs0lwPY+VS1s4M5QikTIZS5ol/dfzwmnoKtGQTjprX+ycqCq0RgN8cmqU//GzgyXi9fwb/UTDeq6v90WvvOt5aIrvfFLVYMHMnnj4r6lKocNlnukcQbPN4FmsmSnCwkDiPBuMn4NuMTSWYX1fB4lULvwoF69ZjKoqdLeFCAd1RsazAISCGp1tIQKGxvNvnJgUa+l6fuV523ZztUD9sfxydh6WfTHWMR+H2h4NFOJQt9/Sh64pZcVGzibmL79LnWtQvSA0Ctl5NggPyJg2yZSFnVPJdX0dbHddvvfyJ5OEU1P8hmmKomDaDks7I7RGA0SCGvn8o6nOLHVN9U1vXcVxfAeR5/lnpo4HIUMvaa421eH/qmWtZe0QZxPzJ3nmwnxHxLPu+DvNkfEspuWU/OXY2Tg/e+tkQTg1VSEc1Ehnbb/3uaZi2Q4tYZ3tt64iMqElRl68XNcjnjSxHf+8VAHCAY3xtIvjeigKtEaD6JpSVlfKcr2ps4n5kzxzYb4j4lk3PEzLI5GxMFFLhDOVsXhxbz+/PjgA+OeSAV0lFjEI6BqqqpBK20RDOquWtnLH9cu5emXnpBm2beorVGECxQ9T8vyiILGQjuN6OI6Hrvml5qp9xjibDJ5GZqbIWatQDRrSt/1v/uZvePHFFwG44447eOyxx8q+thn6tl/qyzfxb9s3r+TKvg6SKYv3jw7x7K6jfovfHLoGrqcU7klTFZZ2hrlqZQfvHx1maCyN40JLNEA4qDOWyJIxLwpvcVrmxBRNXVOIBHUypoNlu5OyihSgszXI1+9bN+36pxOW4ueFAhqarpJMWWWL0Y7dR3n+zX4c18PQVMJBDUNX+epnrwTgmVePcH44VQi6DwY0LuuOli10091HOX3h89eeG05jWg6apsxq7mZG+rZPptK+7XXPMNqzZw8//OEP+f73v8+Xv/xlvvOd7xCLxVi7dm1Z1zc6wyj/5TNtl1BAI5m12Xd4kN6OcEmGTmvUQNNUPjoxgq4qnB1O8T9/fphExi4Zz/WKxA9ojRpkLZcDJ0ZJZGxUVaWrPYSCwvBYuiRcaSZczw81mq7dBvhxnPuODHL5kljJ+ifeW3GWUPFr4HkeA6Np4kmLcFDDdLwpr5n4Gj7/5gl0TcV1XWzHz5a6+8bLaG8J8t0XDjAczxSKnDiu55fHc1w+PD58ybFneo927u3HzBWiVhTFX4MHpy4k2HLtssK14ymL8ZTpz+34sbXlzN3sSNbUZOZNhlFPTw/f+ta3CAT8xa5du5YzZ87UexkVcylHB0A4qNPREsQDxpMW42mTV989DUBmwhnnRDxgLGkV/j8a9vPKxxJmSQWk2eBObmI5iYzpFNZfjhOn+DU4P55FUVQUYDxts7QzMKPjJ399JKTRmsuKyloOB/pHOdA/SiZroygqrle0eM/v1RQKTt9yZKr1TbyPmc5a89eOp7KFotOu57+r93UAABbASURBVJU9t7B4qLt4fupTnyr8//Hjx3nxxRf5p3/6p7Kvr2R7XU2GEyYtYR2lKO9R1xSSGRtNU3A9j8Onx7Btl9ZogHBAYyxlXbK8XDFezkztaPNTIwdG0jg1PqbwPBhJ+EWXp7q3kYRJT09L4bHi18B2PDTVH8PJefWnuqaY6V7D/Boc1z+XtZ2LRxEe5PL69UuOPdP4y3pijMTThIrOWjOmzbKeGD09LYVrB0czfo8oFNRZzD0fmO/rn4pG3FPDHEaffPIJv/d7v8djjz3GqlWryr6u0WeenbFAiaMjYPhndWFD5cT5JMmMhar4X/aheIZoyKCzJcBQPFvW+OGgTlssQCJlkci1zqg1igIdMX8HONGJk7UcOmKBkjOl4tfAFznPb9+hqVi2O+U1xUx8DYvnARiNZ8jViC450tA0lWTGvuTYM41/9/XLefrlQ9iOV3Lmeff1yxkYGC9cq2uKH5mA5ycUlDl3syNnnpOp9MyzIUHyv/71r/nt3/5t/uRP/oTf/M3fbMQSKiZfUBegLRZAVWBkPMPAWBZFzX3hUVAVBc+FZNri3HCGRPrSZreiQGdLkFjEYHA044uwOnUF+dmglvEOhwIa2zb1lV0suPh5LREDz3NxPY+WsF5WgeFLzbNtUx+hoI7nuaX3rvjhVuWUO7vU+FMlAhQ7i/LXhoM6ruvhuB4e5c8tLB7qvvM8e/Ys//bf/luefPJJNm/eXO/p58yGtd3omsqr757m5IUE0ZDOfTf3sWP3MaIhA11TSaT9PkAovsMjazmEAhqrlrZw6OTopAD4SFBjSWeYRNJicDSNqii0RQPomkI8aWHa7iRPep7pvO26ptDR4pv+YwmzbG87zBxqNDEkaVlXtOBtb48GZvRKzxTS9DsPrC9425Uib/vSzkhZHu+Zxr9U3GrxtZ5Hwdte7tzC4qHuoUr/5b/8F/75n/+Zvr6Lv+Bf+tKX+PKXv1zW9Y0024vb+boTXrb//pMPiactDE1lfILJfe2aTtb3dfAvvz6JpqmEAxpp098N3XrNUobGM5w8n6QlYhR2NvkqSPm4zOVlhsqUE4pTC8QcnB/IPU2mUrO9IXGec6FR4pnK2iTT1rTOm4P9I/zza0dIZ53Cc1QF7rrhMu6+8fKCuAZ0rXCeFg7pdMaCbLl2KS++ObntcKUiOJcg8EqvlS/l/EDuaTKViqdkGF0CD9/kTqTMS8ZKJjN+AHzxuWZbNMCDt67kmtVdHOwfof98wnc86CpL2sP0tIXJWDYHToxw7Gx8Uhm3fAO1SnK/Ky1OKyXlBKF8RDynIC+aybSJNbELWvHzPI93Dg3w4pv9pHJxmH29MR7ZuoaluUDqg/0j7Hj9WCFVMhbSsR2PA/0juLk880jYmCSS54dTLOuOlsxX69xvKdYhCOUj4llEuaIJcGE0zXO7jnLsrG8uhAIa932mj5uvWoJaFF+4a98ZNE2lozXoV0SyXAZGUiVOI8dxoSisxi/rphQyYfLkc79rlZstxToEoXxEPHNkLYdE2iq0uJgOy3Z59b3T/PK9M4WzzQ1ru9i+eSUtU6R4jYxn6WgN0RoL8kn/CMnM5JClobFMScFhv0AxXBhOoWsqrVEDXfdDZdb3tZdtWs9WZBdzG1lBmC2Luhiyh58yORTPMDKenVE4j5we46//eT+/eOc0juvR0RLkt+9fz5fu/tSUwgmwclkLwYBGPJGdUjjBD2caS2TxPI+xRJZ4yiQSMujKidZwPIuuwFc/eyUH+kcnFTzWNLWQXpmnkmLD5cZ5CoKwiHeeadMmmbGwZzDPARJpixffPMG7n/jCoyoKWzcu464bLiOga1Nek+9gec+NK/j/dh68pMMJ/A6V+ZJxbdFgIec7EjLIWg6xSIANa7v5x5cOAR4j41ls20XXVT+dcIJpvXNvP7bjMZ7KYjsuuqYSniE3ezYl5QRhsbOoxNPDI511SKUvVm+/5PM9j18fHODFvf2FwhwTHUJT4fcUChIwVK5e1cWWTy/l+Tf7p32+okBXe4j2aGDGc8eQoXJ2OI2i+KFQjuMyMm6yrDNccs2ZQT9VVFFU1FwOejyZLWRHTcdibSMrCLNl0YhnyrRJpcoTTYALI2me3X2U40UOofs39XHj+lKHUJ6D/SO8vv8srgLdrSG2fHop1+ZE6ED/KF1tITJZm9HE5NJZiqIwOJrm3FAKVVEYimcKqYmapuJ6HioKT3zvHTKWi3/goBZlFOUSwYvwd7qKL7CuWyh9l0jb7D8yWHEoU7PuSpt5bcLCZEGLp4dfSiyVtmY0m/NYtsur757ml/suOoQ2XtHFA7dM7RACXzh3vnWClkiQ0XiaE2fjvHtokO2b+3j4tjWF3WTQ8NMlJwqo63rk94Oe5+dS51fr5s5hoxH/3HI4nqEl4tf8zJvjLZFQSYFkAE1TwAbbcUs8+x5eRbGbzRwD2sxrExYuC1I8PTxSWYd0meZ5nsOnxnhu9zGG4r6J3NkS5HNbV/OpFe2Tnnuwf4Sde08wNJYlEjaIhHROXUjkSrSpOK5XMNVTGZuR8QyG7tevNHRl2lCoqR5VFd/r3WFo6JpKOuuUxIBmLYf2aKmwX9Yd5dxwym9hDDkzX8HQ1YKDaTbC0swxoM28NmHhsqDEs1LRTKQtXnjjBO8d9h1CmqqwdeNy7rr+Mgx9ckDCwf4Rnnn1CFnLoastiO36YUV+ywhAUQvnkc+/2U80pJO1FSzbZWgsPWMl/Fw8fQFdU7FzZ5WtUYPheJas5VyyyVq+GZuiKOiqX+kJPFqjgYpiN5s5BrSZ1yYsXBaMeM72TBP8Qh/vHBzgxb0nSGd9s3dlbwuPbF19yVYLu/b5le+XdIT5/9u715ioznUP4P81ay4ww00UvLDV7oPisZ4Ito1Ko1Uke7wMN4lJqVHb0KRtYmrqF6utab/Y1FpTL72k3Wlj09SkaXerFraiiQdzqFhM1cI5bu22yFUREVQcZ5jbes+HcUZQkZklDqzh/0v8MMyaWesJw+P7rued93H2eHHj9t3WIIoAZCA49fYpAolxJhj0OnQ77qwjlQAdBGSdBK8i7kumAnd3SJLuvKfevzMv9HoZE0abEWc2hrTz0d9//hdcHi8Meh0SLCbEmvzbxoW7dnM4rwEdztdG0UvTyVMIoMfj37Aj1HuaAe3XHThQ1YDGK70KQnMn4+lpKQ8sCPXm8viQYDEGt3qTdVLw/EL4k7IAAIHgyNUcY4A5xuBfy3nbDUePF4oi+ry2Nwm9dlEXCuLNMcF1lyUh7pA0M30MXil4ss8GI+Gu3QwUYi5fuw2n2wdLjB4JFuND2wpHWjgtj4kGiyaTZ3DDDqc7pHWavXm8CirPXEJVr4JQ1pQxWDp3Ur8Fod5MBhlpqXGo+7MTXp8CnSTd+Sd69Vv3d4O87fQi1iTD0eNBt8O/x6eskzA+xYKcrAn454lmKEKBXpYg4C8cGWR/GwtAgixLSDQbAElCj9sX0l6Z93qUtZu9CzFJ8SbIDg/sDv/OUsOpmyTXp9JQ0FzydHkV3LT3hJ00AeBC6w0c+KUBXXdaYiQnmFA478EFoXtJkn/0GBdrwLMzxuF843V4vAoU+KfdkgSYjXokxxvR4/FPGf9zUhL++/QldHW7giuJfIqCbrsbT4xPwNri/4rIH7zatZv3FmISLEaYjDKSLEZsWPnUYF/mI+H6VIo0zSXPbrsr7MR5y+HGwV+bUPtnJ4CBC0L3knWSP3HcSSIz08eg1DYd/6j8E+3XeyBJAmOTLXhmWoq/++OdQsUT4xOQYOlAj9vnX6spAZB0uGl3Yfc//heWWD3Sxliwyvp4NypWi4UYov5pLnmGQxECp85fxaGa5uA6yMnj7hSERoXWe9tkkJFoMUB3TzOge0c6/a017HH7MG60GU6XF123XIASWHcp4HB5caXLMWzXJLIQQ9S/qE2e7V0O7K9qQFO7vyAUa5KxdM5kPBVCQQi4+910S4whpCZs/a019Pm8cHsVdDs8kAAEakOS5C8KDed+4CzEEPUv6pKnx6ug8nQr/qe2LdhnKGvKGCzLnoy4WMMAr/br/d30UPU3xdXLEnw+xV+V79WgTdZJkAB4vcqwnQqzEBM+fk105Iiq5Pnvlhv4+ZcG//QYwOiEGBTO+yum/CUx5PeIMcqINxsh68Jr+tvfFDfQuC2w3lInAZLOX6FXhID+zohuuE6FWYgJHb8mOrJERfK85XDjnyeaUFd/tyD0XOYELAyxIAT4p9Fxsf61mGp6pT9sitt7vaV/dyM3fHdWwIfaD5wjmuGPXxMdWTSdPBUh8Nv5q6joVRB6Ylw8iub/B1JHxQ7w6rvUTNPvFUqv8MDz4fYD54hGG7g6YWTRbPK80uXA/qqLaG63AwBiTXosnTMp5IJQgNpp+oMMNMUNPB9uq1SOaLSBqxNGFs0lT49PweGTzajqVRCaNXUMls7tWxD6o/k6qmov+3sIxZswP3MCpk0aFXy+v2r6QNPjSE+f6+qvof5Sd/D+aILZf2thsEY0vB0weLg6YWTRXPLcc/A8LrTcAACMToxB0by/Ij2tb0Eo0O5XlnWIMenR7fTg5+MNKAAwbdKofqfpA02PIz19Dpwv0LbY51OCxTBZ1j3yiIa3AwYXVyeMLJpLnjftLn9BKGsCFmY9uCAUaPcb6C9k1MtwA/il7jJmpo954KJ3YODpcaSnz4HzJcWb0NXdA0CCBIGbdjcS44yPPKLh7YDBx9UJI4fmkudfUuOw8m8ZSE3qvyB0/ZYLMaa+ocUaZehkGUnxpn6r6QPd8I90QSBwPkmSkJwQg+7b/l2cBPydNB/1j5QFDiL1NNd6uCR36kMTJwCMijfB06vRWYxJRkKcCWaj/NBlSGMSY+C+p/1w7xv+Az0/2HqfL9akx9hkM1JGmZGeljgoo5tIx0MUTTSXPEOpic/PnACfT4Hb60Oc2YAYo4zOG07kPJX20NcN1Lc80n3NH/f52KedSD3NTdtDMW3SKBRKwP9d7ELXLRdk6FCSO3XA0Vo4azUjURB43OdjgYNIPUmIgTrqDC/n6zv8rSweQidJiLMYYDbKCG2sGlnhrvPUAsakDYzpfjqdhNGj48J+XdSNPPV6CYkWEwyy5u5IEJGGRFXyjDHJSDAbw/qGERGRGlGRPAObelhi9BiO03Qiij6aT556nYSEOBOMIe6eREQ0GDSdPGMMMuItg7OpBxFRODSZPCUJsMQYYIlVt/cmEdGj0lzylHUS4mJNfbb9IiKKNM0lz6R4IyA43iSioaW5KotO0twlE1EUYiYiIlKByZOISAUmTyIiFZg8iYhUYPIkIlKByZOISAUmTyIiFZg8iYhUYPIkIlKByZOISAUmTyIiFZg8iYhU0NyuSroo2fg4WuLojTFpA2ManNdqrvUwEdFwwGk7EZEKTJ5ERCoweRIRqcDkSUSkApMnEZEKTJ5ERCoweRIRqcDkSUSkApMnEZEKTJ4RYLfbkZeXh9bWVgBAdXU18vPzYbVasWPHjiG+uvB98sknsNlssNls2LZtGwDtx7Rr1y4sW7YMNpsNe/bsAaD9mAI++OADbNy4EQBw7tw5FBcXY/HixXj77bfh9XqH+OrCs3r1athsNhQWFqKwsBC1tbUoKyvDsmXLYLVasXfv3shdjKDH6vfffxd5eXlixowZoqWlRTidTrFgwQLR3NwsPB6PKC0tFceOHRvqywzZ8ePHxfPPPy9cLpdwu91izZo1oqysTNMx1dTUiJKSEuHxeITT6RQ5OTni3Llzmo4poLq6WsyZM0e8+eabQgghbDabOHPmjBBCiE2bNom9e/cO5eWFRVEUMW/ePOHxeII/u3LlisjJyRHXr18Xt2/fFvn5+eLChQsRuR6OPB+z77//Hu+++y5SU1MBAHV1dZg8eTImTpwIvV6P/Px8VFRUDPFVhi4lJQUbN26E0WiEwWBAeno6GhsbNR3T7Nmz8c0330Cv16OzsxM+nw/d3d2ajgkAbty4gR07duC1114DAFy6dAk9PT3IysoCABQXF2sqposXLwIASktLUVBQgG+//RbV1dWYO3cukpKSYDabsXjx4ojFxOT5mL333nt45plngo+vXr2KlJSU4OPU1FS0t7cPxaWpMnXq1OAfX2NjIw4dOgRJkjQdEwAYDAbs3r0bNpsN2dnZmv89AcA777yD9evXIyEhAcD9n72UlBRNxdTd3Y3s7Gx8+umn+Prrr/Hdd9/h8uXLQ/Z7YvKMMEVRIEl3t8ASQvR5rBUXLlxAaWkpNmzYgIkTJ0ZFTOvWrcOJEyfQ1taGxsZGTcf0ww8/YPz48cjOzg7+TOufvVmzZmHbtm2Ij49HcnIyVqxYgd27dw9ZTJrbz1Prxo0bh46OjuDjjo6O4JReK06dOoV169bhrbfegs1mw8mTJzUdU319PdxuN6ZPn47Y2FhYrVZUVFRAluXgMVqL6eDBg+jo6EBhYSFu3rwJh8MBSZL6/J6uXbumqZh+++03eDye4H8IQgikpaUN2WePI88Iy8zMRENDA5qamuDz+VBeXo7nnntuqC8rZG1tbVi7di22b98Om80GQPsxtba2YvPmzXC73XC73Th69ChKSko0HdOePXtQXl6OAwcOYN26dVi0aBHef/99mEwmnDp1CgBw4MABTcV069YtbNu2DS6XC3a7Hfv27cOHH36IEydOoKurC06nE0eOHIlYTBx5RpjJZMLWrVvx+uuvw+VyYcGCBViyZMlQX1bIvvrqK7hcLmzdujX4s5KSEk3HtGDBAtTV1aGoqAiyLMNqtcJmsyE5OVmzMfVn+/bt2Lx5M+x2O2bMmIE1a9YM9SWFLCcnB7W1tSgqKoKiKFi5ciWefvpprF+/HmvWrIHH48GKFSswc+bMiFwPd5InIlKB03YiIhWYPImIVGDyJCJSgcmTiEgFJk8iIhWYPImIVGDypGGhtLQUXV1dj3xMTU0N8vLyBjzftGnTHvheR48exZYtWwD4tz+rqKhAa2srZs2aNeB70sjCRfI0LBw/fnxQjnlUubm5yM3NfeznIe3jyJOG3KZNmwAAL774Ik6ePInVq1cjPz8fBQUF2L9//33HtLW1obKyEiUlJSguLsbChQuxc+fOsM+7c+dOLF++HIWFhaisrAQA/PTTT3j11VcHKTKKahHZNZRoABkZGaKzs1Pk5uaKw4cPCyH8G93Onz9fnD59us8xiqKIVatWiYaGhuBx06dPF52dneLXX38VNpstpPN98cUXQggh/vjjDzF79mzR2dkpfvzxR/HKK68IIYRYtWqVOHTokGhpaRFZWVmPIWrSMk7badior6+Hy+WC1WoFAIwdOxZWqxVVVVV97jlKkoTPP/8cx44dQ3l5Oerr6yGEgNPpDOt8L7zwAgAgIyMD6enpOHPmzOAFQ1GP03YaNiRJum8vRiHEfX12HA4Hli9fjrNnz+LJJ5/Ehg0boNfrIcLcpkGnu/vxVxQFej3HEhQ6Jk8aFmRZRlpaGvR6PY4cOQIAaG9vx+HDh/Hss88Gj/F6vWhqaoLdbscbb7yBRYsWoaamBm63G4qihHXOffv2AQDOnj2L5uZmZGZmDm5QFNX4Xy0NC0uWLMFLL72Ezz77DFu2bMHHH38Mn8+HtWvXYu7cucFjVq9ejV27dmHhwoVYunQpjEYjMjIyMGXKFDQ1NcFoNIZ8zpaWFhQVFUGSJHz00UdISkp6XOFRFOKWdEREKnDkSVHpyy+/RFlZ2QOfe/nll1FQUBDhK6Jow5EnEZEKLBgREanA5ElEpAKTJxGRCkyeREQqMHkSEanw/+p7aNHjEzbMAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -918,45 +956,45 @@ } ], "source": [ - "g = sns.PairGrid(iris, vars=[\"sepal_length\", \"sepal_width\"], hue=\"species\")\n", - "g.map(plt.scatter)" + "f, ax = plt.subplots(figsize=(5, 6))\n", + "sns.regplot(x=\"total_bill\", y=\"tip\", data=tips, ax=ax)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "It's also possible to use a different function in the upper and lower triangles to emphasize different aspects of the relationship." + "In contrast, the size and shape of the `lmplot` figure is controlled through the `FacetGrid` interface using the ``size`` and ``aspect`` parameters, which apply to each *facet* in the plot, not to the overall figure itself:" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.6/site-packages/matplotlib/contour.py:967: UserWarning: The following kwargs were not used by contour: 'label', 'color'\n", - " s)\n" + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/regression.py:546: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 26, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -964,39 +1002,30 @@ } ], "source": [ - "g = sns.PairGrid(iris)\n", - "g.map_upper(plt.scatter)\n", - "g.map_lower(sns.kdeplot, cmap=\"Blues_d\")\n", - "g.map_diag(sns.kdeplot, lw=3, legend=False)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The square grid with identity relationships on the diagonal is actually just a special case, and you can plot with different variables in the rows and columns." + "sns.lmplot(x=\"total_bill\", y=\"tip\", col=\"day\", data=tips,\n", + " col_wrap=2, size=3)" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 27, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": {}, @@ -1004,38 +1033,40 @@ } ], "source": [ - "g = sns.PairGrid(tips, y_vars=[\"tip\"], x_vars=[\"total_bill\", \"size\"], size=4)\n", - "g.map(sns.regplot, color=\".3\")\n", - "g.set(ylim=(-1, 11), yticks=[0, 5, 10])" + "sns.lmplot(x=\"total_bill\", y=\"tip\", col=\"day\", data=tips,\n", + " aspect=.5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Of course, the aesthetic attributes are configurable. For instance, you can use a different palette (say, to show an ordering of the ``hue`` variable) and pass keyword arguments into the plotting functions." + "Plotting a regression in other contexts\n", + "---------------------------------------\n", + "\n", + "A few other seaborn functions use `regplot` in the context of a larger, more complex plot. The first is the `jointplot` function that we introduced in the :ref:`distributions tutorial `. In addition to the plot styles previously discussed, `jointplot` can use `regplot` to show the linear regression fit on the joint axes by passing ``kind=\"reg\"``:" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 28, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": {}, @@ -1043,38 +1074,46 @@ } ], "source": [ - "g = sns.PairGrid(tips, hue=\"size\", palette=\"GnBu_d\")\n", - "g.map(plt.scatter, s=50, edgecolor=\"white\")\n", - "g.add_legend()" + "sns.jointplot(x=\"total_bill\", y=\"tip\", data=tips, kind=\"reg\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "`PairGrid` is flexible, but to take a quick look at a dataset, it can be easier to use `pairplot`. This function uses scatterplots and histograms by default, although a few other kinds will be added (currently, you can also plot regression plots on the off-diagonals and KDEs on the diagonal)." + "Using the `pairplot` function with ``kind=\"reg\"`` combines `regplot` and `PairGrid` to show the linear relationship between variables in a dataset. Take care to note how this is different from `lmplot`. In the figure below, the two axes don't show the same relationship conditioned on two levels of a third variable; rather, `PairGrid` is used to show multiple relationships between different pairings of the variables in a dataset:" ] }, { "cell_type": "code", - "execution_count": 29, - "metadata": {}, + "execution_count": 31, + "metadata": { + "scrolled": false + }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:2065: UserWarning: The `size` parameter has been renamed to `height`; pleaes update your code.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 29, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1082,26 +1121,47 @@ } ], "source": [ - "sns.pairplot(iris, hue=\"species\", size=2.5)" + "sns.pairplot(tips, x_vars=[\"total_bill\", \"size\"], y_vars=[\"tip\"],\n", + " size=5, aspect=.8, kind=\"reg\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "You can also control the aesthetics of the plot with keyword arguments, and it returns the `PairGrid` instance for further tweaking." + "Like `lmplot`, but unlike `jointplot`, conditioning on an additional categorical variable is built into `pairplot` using the ``hue`` parameter:" ] }, { "cell_type": "code", - "execution_count": 30, - "metadata": {}, + "execution_count": 32, + "metadata": { + "scrolled": false + }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:2065: UserWarning: The `size` parameter has been renamed to `height`; pleaes update your code.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, { "data": { - "image/png": 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\n", "text/plain": [ - "" + "" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" ] }, "metadata": {}, @@ -1109,8 +1169,16 @@ } ], "source": [ - "g = sns.pairplot(iris, hue=\"species\", palette=\"Set2\", diag_kind=\"kde\", size=2.5)" + "sns.pairplot(tips, x_vars=[\"total_bill\", \"size\"], y_vars=[\"tip\"],\n", + " hue=\"smoker\", size=5, aspect=.8, kind=\"reg\")" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -1130,7 +1198,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.0" } }, "nbformat": 4, diff --git a/lessons/lesson14.7.ipynb b/lessons/lesson14.7.ipynb new file mode 100644 index 0000000..84c3354 --- /dev/null +++ b/lessons/lesson14.7.ipynb @@ -0,0 +1,1242 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Lesson 14.7 - Plotting with Seaborn: Building structured multi-plot grids\n", + "\n", + "*Facsimile of [Seaborn tutorial](http://stanford.edu/~mwaskom/software/seaborn/tutorial.html).*\n", + "\n", + "**Note: This notebook is optional and is not covered in class.**\n", + "\n", + "When exploring medium-dimensional data, a useful approach is to draw multiple instances of the same plot on different subsets of your dataset. This technique is sometimes called either \"lattice\", or [\"trellis\"](http://netlib.bell-labs.com/cm/ms/departments/sia/project/trellis) plotting, and it is related to the idea of [\"small multiples\"](http://en.wikipedia.org/wiki/Small_multiple). It allows a viewer to quickly extract a large amount of information about complex data. Matplotlib offers good support for making figures with multiple axes; seaborn builds on top of this to directly link the structure of the plot to the structure of your dataset.\n", + "\n", + "To use these features, your data has to be in a Pandas DataFrame and it must take the form of what Hadley Whickam calls [\"tidy data\"](http://vita.had.co.nz/papers/tidy-data.pdf). In brief, that means your dataframe should be structured such that each column is a variable and each row is an observation.\n", + "\n", + "For advanced use, you can use the objects discussed in this part of the tutorial directly, which will provide maximum flexibility. Some seaborn functions (such as `lmplot`, `factorplot`, and `pairplot`) also use them behind the scenes. Unlike other seaborn functions that are \"Axes-level\" and draw onto specific (possibly already-existing) matplotlib `Axes` without otherwise manipulating the figure, these higher-level functions create a figure when called and are generally more strict about how it gets set up. In some cases, arguments either to those functions or to the constructor of the class they rely on will provide a different interface attributes like the figure size, as in the case of `lmplot` where you can set the height and aspect ratio for each facet rather than the overall size of the figure. Any function that uses one of these objects will always return it after plotting, though, and most of these objects have convenience methods for changing how the plot, often in a more abstract and easy way." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "from scipy import stats\n", + "import matplotlib as mpl\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "sns.set(style=\"ticks\")\n", + "np.random.seed(sum(map(ord, \"axis_grids\")))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Subsetting data with `FacetGrid`\n", + "---------------------------------------\n", + "\n", + "The `FacetGrid` class is useful when you want to visualize the distribution of a variable or the relationship between multiple variables separately within subsets of your dataset. A `FacetGrid` can be drawn with up to three dimensions: ``row``, ``col``, and ``hue``. The first two have obvious correspondence with the resulting array of axes; think of the hue variable as a third dimension along a depth axis, where different levels are plotted with different colors.\n", + "\n", + "The class is used by initializing a `FacetGrid` object with a dataframe and the names of the variables that will form the row, column, or hue dimensions of the grid. These variables should be categorical or discrete, and then the data at each level of the variable will be used for a facet along that axis. For example, say we wanted to examine differences between lunch and dinner in the ``tips`` dataset.\n", + "\n", + "Additionally, both `lmplot` and `factorplot` use this object internally, and they return the object when they are finsihed so that it can be used for further tweaking." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "tips = sns.load_dataset(\"tips\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = sns.FacetGrid(tips, col=\"time\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Initializing the grid like this sets up the matplotlib figure and axes, but doesn't draw anything on them.\n", + "\n", + "The main approach for visualizing data on this grid is with the :meth:`FacetGrid.map` method. Provide it with a plotting function and the name(s) of variable(s) in the dataframe to plot. Let's look at the distribution of tips in each of these subsets, using a histogram." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = sns.FacetGrid(tips, col=\"time\")\n", + "g.map(plt.hist, \"tip\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This function will draw the figure and annotate the axes, hopefully producing a finished plot in one step. To make a relational plot, just pass multiple variable names. You can also provide keyword arguments, which will be passed to the plotting function:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = sns.FacetGrid(tips, col=\"sex\", hue=\"smoker\")\n", + "g.map(plt.scatter, \"total_bill\", \"tip\", alpha=.7)\n", + "g.add_legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are several options for controlling the look of the grid that can be passed to the class constructor." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = sns.FacetGrid(tips, row=\"smoker\", col=\"time\", margin_titles=True)\n", + "g.map(sns.regplot, \"size\", \"total_bill\", color=\".3\", fit_reg=False, x_jitter=.1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that ``margin_titles`` isn't formally supported by the matplotlib API, and may not work well in all cases. In particular, it currently can't be used with a legend that lies outside of the plot.\n", + "\n", + "The size of the figure is set by providing the height of *each* facet, along with the aspect ratio:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:230: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:715: UserWarning: Using the barplot function without specifying `order` is likely to produce an incorrect plot.\n", + " warnings.warn(warning)\n", + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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VOkx1YcIvDgAATzHhMGS5hebDDz+87s8sFou6d+9e5QNVByb84gAAwB9uutAAAABUF+UWmhkzZmjSpEl64YUXnP783XffdctQAAAAFVFuoYmKipIk9ejRwyPDAAAA3IxyC02XLl0kSXFxcfr999/17bffKjAwUK1atVJoaKhLK7h48aISEhL07rvv6u6779aECRN04MAB3XLLLZKkUaNGqVu3bpXcDAAA4M9curDeF198oVdeeUXNmjVTSUmJjh8/rnnz5qlt27blLpeZmank5GRlZ2fb7zt06JCWLVumsLCwSg0OAADwPy4Vmvnz52vZsmVq1qyZpKunc0+ePFlr1qwpd7m0tDRNnTpV48ePlyRdunRJJ0+e1MSJE3X69Gl169ZNo0aNUo0ajh8plZeXp7y8PIf7rFaryxsF30Mm4Ay5QFlkwn+5VGgsFou9zEjSQw89JJvNdsPlZsyY4XD77NmzioyM1NSpU3XrrbdqxIgR+uijjxQfH+/wuNTUVKWkpLgyGvwEmYAz5AJlkQn/VW6hyc3NlSS1bNlSS5YsUUJCgmrUqKE1a9YoMjKywitr1KiRFi1aZL89ZMgQpaenX1NokpKSFBcX53Cf1WpVYiIfgOivyAScIRcoi0z4r3ILTWRkpCwWi31vzBtvvGG/bbFY9Morr1RoZUeOHFF2drb9rCmbzabAwGtHCA0NdflNx/APZALOkAuURSb8V7mF5scff7zhE2zYsEG9e/d2aWU2m00zZ85UZGSkateurVWrVl3TpAEAACqqxo0fUr4lS5a4/NgWLVro+eef16BBgxQdHa0HHnjA5TIEAABwPS69Kbg8rrw5ePv27fbvExMTOZYJ4/AJ7ABQvVV6D43FYqmKOeAB/KN880IatlFQSLhCGrbx9igAACcqvYcG5ghp2Eb51u9UJ/xhb49inOryCexXikoUHBTg7TFcYtKsAMxHofEj1eUfZdy84KAADR6/vEqf8+zZC5Ik69kLVfrcK+ZwaBmA51T6kJMr76EBAABwp0oXmpiYmKqYAwAA4KaVe8jpRmVl/fr1GjZsWJUOBAAAUFHlFprJkyd7ag4AAICbVm6heeyxx+zf5+bm6tKlS7LZbCopKdGvv/7q9uEAAABc4dJZTvPnz9f7778vSQoICFBRUZGaNm2q9evXu3U4AAAAV7j0puB169bp888/V48ePbR161bNmjVLTZs2dfdsAAAALnGp0NSvX19hYWFq0qSJfvzxR/Xt21c//fSTu2cDAABwiUuFJjAwUL/++quaNGmi/fv3q7i4WIWFhe6eDQAAwCUuFZoRI0Zo8uTJ6tSpkz799FN16tRJkZGR7p4NAADAJS69KfjBBx9UamqqJCk9PV3Hjh1TjRqVviYfAABAlSi3leTm5io3N1fPPfeczp8/r9zcXBUWFur222/X6NGjPTUjAABAucrdQzN27Fjt3LlTkhQREfHHQoGB6tGjh3snAwAAcFG5hWbJkiWSpAkTJmjWrFkeGQgAAKCiXHoPzaxZs5SZmakvv/xSRUVFevzxx9W2bVt3zwYAAOASl97Zm56ertGjR+v8+fPKz8/XmDFjlJaW5u7ZAAAAXOLSHpqlS5dq9erVCgsLkyQ999xzGjZsmOLj4906HAAAgCtc2kNTWlpqLzOSdMcdd3DaNgAAqDZcaiX16tXTtm3b7Le3bdumunXrum0oAACAinDpkNOLL76oiRMnavr06ZKkoKAgLVq0yK2DAQAAuKrcQpObmytJmj59ulavXq2ff/5ZFotFd911l55++mlt3rzZI0MCcB9LQJDDVwAwkcsX1ouKipIk2Ww2LqwH+JCQhm2Ub/1OdcIf9vYoAHDTuLAe4Odq1m2kmnUbeXsMAKgUl94UTJkBAADVGedeAwAA41FoAACA8dxaaC5evKjevXvrxIkTkqRdu3YpJiZG3bt317x589y5agAA4EfcVmgyMzM1aNAgZWdnS5IuX76siRMn6u2339bGjRt16NAh7dixw12rBwAAfsRthSYtLU1Tp061f2TCwYMH1bhxYzVq1EiBgYGKiYnhOjYAAKBKuHSl4JsxY8YMh9tnzpxRgwYN7LfDwsJ0+vRpp8vm5eUpLy/P4T6r1Vr1Q8IYZALOkAuURSb8l9sKTVmlpaWyWCz22zabzeH2n6WmpiolJcVTo8EAZALOkAuURSb8l8cKTXh4uHJycuy3c3JyHD7B+8+SkpIUFxfncJ/ValViYqJbZ0T1RSbgDLlAWWTCf3ms0LRq1UpHjx7VsWPHdPfdd2vDhg3q37+/08eGhoYqNDTUU6PBAGQCzpALlEUm/JfHCk3NmjU1e/ZsvfjiiyosLFTHjh31xBNPeGr1AADAh7m90Gzfvt3+fVRUlD7++GN3rxIAAPgZrhQMAACMR6EBAADGo9AAAADjUWgAAIDxKDQAAMB4FBoAAGA8Cg0AADAehQYAABiPQgMAAIxHoQEAAMaj0AAAAONRaAAAgPEoNAAAwHgUGgAAYDwKDQAAMB6FBgAAGI9CAwAAjEehAQAAxqPQAAAA41FoAACA8Sg0AADAeBQaAABgPAoNAAAwHoUGAAAYj0IDAACMR6EBAADGo9AAAADjUWgAAIDxKDQAAMB4FBoAAGC8QG+sdMiQITp37pwCA6+uftq0aWrVqpU3RgEAAD7A44XGZrMpOztbn3/+ub3QAAAAVIbHDzn98ssvkqRnn31Wffr00bJlyzw9AgAA8DEe30WSl5enqKgoTZ48WUVFRRo6dKjuvfdetW/f3uExeXl5DstZrVZPj4pqhEzAGXKBssiE//J4oWndurVat25tvz1gwADt2LHDodCkpqYqJSXF06OhGiMTcIZcoCwy4b88Xmj279+voqIiRUVFSbr6npqy76VJSkpSXFycw31Wq1WJiYkemxPVC5mAM+QCZZEJ/+XxQnPhwgUtWLBAK1euVFFRkdauXav/+7//c3hMaGioQkNDPT0aqjEyAWfIBcoiE/7L44Wmc+fOyszMVN++fVVaWqrBgwc7HIICAACoKK+cN/3SSy/ppZde8saqAQCAD+JKwQAAwHgUGgAAYDwKDQAAMB6FBgAAGI9CAwAAjEehAQAAxqPQAAAA41FoAACA8Sg0AADAeBQaAABgPAoNAAAwHoUGAAAYj0IDAACMR6EBAADGo9AAAADjUWgAAIDxKDQAAMB4FBoAAGA8Cg0AADAehQYAABiPQgMAAIxHoQEAAMaj0AAAAONRaAAAgPEoNAAAwHgUGgAAYDwKDQAAMB6FBgAAGI9CAwAAjEehAQAAxvNKoVm/fr169eql7t27a/ny5d4YAQAA+JBAT6/w9OnTmjdvntasWaPg4GAlJCQoIiJCTZs29fQoAADAR3i80OzatUuRkZGqV6+eJKlHjx7avHmzRo0aZX9MXl6e8vLyHJb77bffJElWq/Wa5ywsyHXjxFXrxIkTFXq8Kdt2ve0KDw9XYGDlY1bRTEjmv3bX4wvb5a1c+MJr54wp2yVVv78rfOG1ux5Ttq2qMmGx2Wy2qhrKFe+9954KCgr08ssvS5JWr16tgwcPavr06fbHLFy4UCkpKZ4cC27y2Wef6e67767085AJ30IuUBaZQFkVzYTHC80777yjwsJCvfTSS5KktLQ0HTp0SNOmTbM/xlnDvnLlio4fP6577rlHAQEBbp3RarUqMTFRy5cvV3h4uFvX5Une2C53/q+LTFQNcnHzfDUXZOLmkYmqU9FMePyQU3h4uPbv32+/nZOTo7CwMIfHhIaGKjQ09JplmzRp4vb5/iw8PLxK/sdQ3Zi4XWTC/UzcNnLhXiZuF5lwr+q8XR4/y6ldu3bavXu3zp07p0uXLmnr1q3q0KGDp8cAAAA+xON7aO644w69/PLLGjp0qIqKijRgwAD99a9/9fQYAADAh3i80EhSTEyMYmJivLFqAADggwJee+2117w9RHVUs2ZNRUREqGbNmt4epUr56nZ5gi+/dr68be7mq6+dr26XJ/jqa1fdt8vjZzkBAABUNT7LCQAAGI9CAwAAjOdXhebEiRNq3ry5pkyZ4nD/4cOH1bx5c61Zs+a6y3bp0qXCl52uaidOnFDLli0VGxvr8OfUqVNuWVeXLl2q/HmrGzJRsXX5QyYks3NBJtzD5ExI/pELr5zl5E316tXTl19+qZKSEvsVIzdu3Kj69et7eTLXhIWFad26dd4ew6eQCThjci7IhHuYnAnJ93Phd4WmTp06atGihfbt26fIyEhJ0s6dO9WuXTtJ0rJly7Ru3TpdunRJQUFBevPNNx2uMFlSUqI5c+Zo7969KikpUb9+/fT00097Y1Pszp49qylTpshqtcpisWjs2LFq166dFi5cqJMnTyo7O1vnzp3TP/7xD+3evVuZmZlq0aKF5s2bp5KSEr322mvKysrS2bNn1bx5c/373/926fl9BZkgE874Wi7IROX5WiYk38qF3xUaSerZs6e2bNmiyMhIHTx4UM2bN5fNZtPFixe1fft2ffjhh6pVq5bmz5+v5cuXa/LkyfZl09LSJElr167VlStXNGzYMLVs2VKPPvqoR2Y/c+aMYmNj7bdjYmL0/fffq3///uratavOnDmjwYMHKz09XZL0008/adWqVfr666+VlJSk9evX65577lGvXr105MgRXbhwQUFBQVq1apVKS0uVlJSkHTt26KGHHrKvY8aMGU6fPyQkxCPb7Alkgkw4Y2ouyIT7mJoJyfdz4ZeFpkuXLnrrrbdUWlqqTZs2qWfPntq4caNCQkL05ptv6pNPPlF2dra+/PJLPfDAAw7L7t69W4cPH1ZGRoYkqaCgQEeOHPFYIJ3tMoyIiNAvv/yiBQsWSJKKi4t1/PhxSVL79u0VGBiohg0bqkGDBmratKmkq1dsPn/+vCIiIlSvXj0tX75cv/zyi7Kzs1VQUODw/Lt27XL6/GVfG5ORCTLhjKm5IBPuY2omJN/PhV8Wmv/tNjxw4IAyMjI0duxYbdy4UadOndKTTz6pp556Sh06dNDtt9+uw4cPOyxbUlKicePGqXv37pKkc+fOqU6dOt7YDLvS0lKlpqaqXr16kq628Ntuu03btm1TUFCQ/XHOPrX0s88+04IFCzR06FD169dPv//+u8pemuh6z+9LyMQfyMQffCkXZKJq+FImJN/KhV+d5fRnPXv21JtvvqmWLVvaf1G1a9dW48aN9fTTT+vhhx/Wtm3bVFJS4rBcZGSk0tLSVFRUpPz8fA0ePFjffvutNzbBYaYVK1ZIkn7++WfFxMTo0qVLLi27e/du9ezZU/3791doaKj27NnjdJtv9vlNQiauIhOOfCUXZKLq+Eom/jeTr+TCL/fQSFLnzp01adIk/fOf/7TfFxQUpNLSUvXq1Us2m01t27ZVVlaWw3IJCQk6duyY4uLiVFxcrH79+ikiIsLT4ztITk7WlClT7J+PNWfOHJePTw4cOFD/+te/9MknnygoKEht2rS55vTCyjy/ScjEVWTCka/kgkxUHV/JhORbueCjDwAAgPH89pATAADwHRQaAABgPAoNAAAwHoUGAAAYj0IDAACMR6EBAADGo9AAAADjUWjcLD8/X6NHj1ZsbKzi4uKUnJys0tJSbd++XQMHDlTfvn2VkJCgb775RpI0YcIE+8WasrKyFBUVpf/85z/e3ARUMTIBZ8gFyiITFWSDW61du9b27LPP2mw2m624uNg2adIk29GjR229e/e2nTt3zmaz2Ww//fSTrX379rb8/Hxbfn6+rXv37rY1a9bYoqOjbevWrfPm+HADMgFnyAXKIhMVw5WC3ez48eN66qmn9Je//EXt2rXT3//+d+3du1cLFixQeHi4/XHnzp3T4sWL1aJFC/3www+Kj49Xnz59NHPmTC9OD3cgE3CGXKAsMlExfvtZTp7SqFEjffrpp9qzZ48yMjL0zDPPaMSIEYqKitJbb71lf9ypU6cUFhYmSTp69Kjq1aunw4cP68qVKwoODvbW+HADMgFnyAXKIhMVw3to3GzFihWaMGGCHn/8cY0bN06PP/64zp8/r507d9qPbe7YsUN9+vTR5cuXdeLECc2YMUMffPCBmjRporlz53p5C1DVyAScIRcoi0xUDHto3Kxv377au3evevXqpVsQ62KuAAAAgUlEQVRuuUV33nmnhgwZovvuu09jxoyRzWZTYGCg3nnnHdWsWVNjx47VsGHDdP/999s/obRdu3bq1KmTtzcFVYRMwBlygbLIRMXwHhoAAGA8DjkBAADjUWgAAIDxKDQAAMB4FBoAAGA8Cg0AADAehQYAABiPQgMAAIxHoQEAAMb7f/sRS/LlTmx3AAAAAElFTkSuQmCC\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = sns.FacetGrid(tips, col=\"day\", size=4, aspect=.5)\n", + "g.map(sns.barplot, \"sex\", \"total_bill\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "With versions of matplotlib > 1.4, you can pass parameters to be used in the `gridspec` module. The can be used to draw attention to a particular facet by increasing its size. It's particularly useful when visualizing distributions of datasets with unequal numbers of groups in each facet." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:715: UserWarning: Using the boxplot function without specifying `order` is likely to produce an incorrect plot.\n", + " warnings.warn(warning)\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "titanic = sns.load_dataset(\"titanic\")\n", + "titanic = titanic.assign(deck=titanic.deck.astype(object)).sort_values(\"deck\")\n", + "g = sns.FacetGrid(titanic, col=\"class\", sharex=False,\n", + " gridspec_kws={\"width_ratios\": [5, 3, 3]})\n", + "g.map(sns.boxplot, \"deck\", \"age\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The default ordering of the facets is derived from the information in the DataFrame. If the variable used to define facets has a categorical type, then the order of the categories is used. Otherwise, the facets will be in the order of appearence of the category levels. It is possible, however, to specify an ordering of any facet dimension with the appropriate ``*_order`` parameter:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:230: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ordered_days = tips.day.value_counts().index\n", + "g = sns.FacetGrid(tips, row=\"day\", row_order=ordered_days,\n", + " size=1.7, aspect=4,)\n", + "g.map(sns.distplot, \"total_bill\", hist=False, rug=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Any seaborn color palette (i.e., something that can be passed to `color_palette()` can be provided. You can also use a dictionary that maps the names of values in the ``hue`` variable to valid matplotlib colors:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:230: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pal = dict(Lunch=\"seagreen\", Dinner=\"gray\")\n", + "g = sns.FacetGrid(tips, hue=\"time\", palette=pal, size=5)\n", + "g.map(plt.scatter, \"total_bill\", \"tip\", s=50, alpha=.7, linewidth=.5, edgecolor=\"white\")\n", + "g.add_legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can also let other aspects of the plot vary across levels of the hue variable, which can be helpful for making plots that will be more comprehensible when printed in black-and-white. To do this, pass a dictionary to ``hue_kws`` where keys are the names of plotting function keyword arguments and values are lists of keyword values, one for each level of the hue variable." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:230: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = sns.FacetGrid(tips, hue=\"sex\", palette=\"Set1\", size=5, hue_kws={\"marker\": [\"^\", \"v\"]})\n", + "g.map(plt.scatter, \"total_bill\", \"tip\", s=100, linewidth=.5, edgecolor=\"white\")\n", + "g.add_legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you have many levels of one variable, you can plot it along the columns but \"wrap\" them so that they span multiple rows. When doing this, you cannot use a ``row`` variable." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:230: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n", + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:715: UserWarning: Using the pointplot function without specifying `order` is likely to produce an incorrect plot.\n", + " warnings.warn(warning)\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "attend = sns.load_dataset(\"attention\").query(\"subject <= 12\")\n", + "g = sns.FacetGrid(attend, col=\"subject\", col_wrap=4, size=2, ylim=(0, 10))\n", + "g.map(sns.pointplot, \"solutions\", \"score\", color=\".3\", ci=None)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Once you've drawn a plot using :meth:`FacetGrid.map` (which can be called multiple times), you may want to adjust some aspects of the plot. There are also a number of methods on the `FacetGrid` object for manipulating the figure at a higher level of abstraction. The most general is :meth:`FacetGrid.set`, and there are other more specialized methods like :meth:`FacetGrid.set_axis_labels`, which respects the fact that interior facets do not have axis labels. For example:" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:230: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "with sns.axes_style(\"white\"):\n", + " g = sns.FacetGrid(tips, row=\"sex\", col=\"smoker\", margin_titles=True, size=2.5)\n", + "g.map(plt.scatter, \"total_bill\", \"tip\", color=\"#334488\", edgecolor=\"white\", lw=.5);\n", + "g.set_axis_labels(\"Total bill (US Dollars)\", \"Tip\");\n", + "g.set(xticks=[10, 30, 50], yticks=[2, 6, 10])\n", + "g.fig.subplots_adjust(wspace=.02, hspace=.02)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For even more customization, you can work directly with the underling matplotlib ``Figure`` and ``Axes`` objects, which are stored as member attributes at ``fig`` and ``axes`` (a two-dimensional array), respectively. When making a figure without row or column faceting, you can also use the ``ax`` attribute to directly access the single axes." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:230: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = sns.FacetGrid(tips, col=\"smoker\", margin_titles=True, size=4)\n", + "g.map(plt.scatter, \"total_bill\", \"tip\", color=\"#338844\", edgecolor=\"white\", s=50, lw=1)\n", + "for ax in g.axes.flat:\n", + " ax.plot((0, 50), (0, .2 * 50), c=\".2\", ls=\"--\")\n", + "g.set(xlim=(0, 60), ylim=(0, 14))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Mapping custom functions onto the grid\n", + "\n", + "You're not limited to existing matplotlib and seaborn functions when using `FacetGrid`. However, to work properly, any function you use must follow a few rules:\n", + "\n", + "1. It must plot onto the \"currently active\" matplotlib ``Axes``. This will be true of functions in the ``matplotlib.pyplot`` namespace, and you can call ``plt.gca`` to get a reference to the current ``Axes`` if you want to work directly with its methods.\n", + "2. It must accept the data that it plots in positional arguments. Internally, `FacetGrid` will pass a ``Series`` of data for each of the named positional arguments passed to :meth:`FacetGrid.map`.\n", + "3. It must be able to accept ``color`` and ``label`` keyword arguments, and, ideally, it will do something useful with them. In most cases, it's easiest to catch a generic dictionary of ``**kwargs`` and pass it along to the underlying plotting function.\n", + "\n", + "Let's look at minimal example of a function you can plot with. This function will just take a single vector of data for each facet:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:230: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def quantile_plot(x, **kwargs):\n", + " qntls, xr = stats.probplot(x, fit=False)\n", + " plt.scatter(xr, qntls, **kwargs)\n", + " \n", + "g = sns.FacetGrid(tips, col=\"sex\", size=4)\n", + "g.map(quantile_plot, \"total_bill\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If we want to make a bivariate plot, you should write the function so that it accepts the x-axis variable first and the y-axis variable second:" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:230: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def qqplot(x, y, **kwargs):\n", + " _, xr = stats.probplot(x, fit=False)\n", + " _, yr = stats.probplot(y, fit=False)\n", + " plt.scatter(xr, yr, **kwargs)\n", + " \n", + "g = sns.FacetGrid(tips, col=\"smoker\", size=4)\n", + "g.map(qqplot, \"total_bill\", \"tip\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Because ``plt.scatter`` accepts ``color`` and ``label`` keyword arguments and does the right thing with them, we can add a hue facet without any difficulty:" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:230: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = sns.FacetGrid(tips, hue=\"time\", col=\"sex\", size=4)\n", + "g.map(qqplot, \"total_bill\", \"tip\")\n", + "g.add_legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This approach also lets us use additional aesthetics to distinguish the levels of the hue variable, along with keyword arguments that won't be depdendent on the faceting variables:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:230: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = sns.FacetGrid(tips, hue=\"time\", col=\"sex\", size=4,\n", + " hue_kws={\"marker\": [\"s\", \"D\"]})\n", + "g.map(qqplot, \"total_bill\", \"tip\", s=40, edgecolor=\"w\")\n", + "g.add_legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Sometimes, though, you'll want to map a function that doesn't work the way you expect with the ``color`` and ``label`` keyword arguments. In this case, you'll want to explictly catch them and handle them in the logic of your custom function. For example, this approach will allow use to map ``plt.hexbin``, which otherwise does not play well with the `FacetGrid` API:" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:230: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def hexbin(x, y, color, **kwargs):\n", + " cmap = sns.light_palette(color, as_cmap=True)\n", + " plt.hexbin(x, y, gridsize=15, cmap=cmap, **kwargs)\n", + "\n", + "with sns.axes_style(\"dark\"):\n", + " g = sns.FacetGrid(tips, hue=\"time\", col=\"time\", size=4)\n", + "g.map(hexbin, \"total_bill\", \"tip\", extent=[0, 50, 0, 10])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plotting pairwise relationships with `PairGrid` and `pairplot`\n", + "---------------------------------------------------------------------------\n", + "\n", + "`PairGrid` also allows you to quickly draw a grid of small subplots using the same plot type to visualize data in each. In a `PairGrid`, each row and column is assigned to a different variable, so the resulting plot shows each pairwise relationship in the dataset. This style of plot is sometimes called a \"scatterplot matrix\", as this is the most common way to show each relationship, but `PairGrid` is not limited to scatterplots.\n", + "\n", + "It's important to understand the differences between a `FacetGrid` and a `PairGrid`. In the former, each facet shows the same relationship conditioned on different levels of other variables. In the latter, each plot shows a different relationship (although the upper and lower triangles will have mirrored plots). Using `PairGrid` can give you a very quick, very high-level summary of interesting relationships in your dataset.\n", + "\n", + "The basic usage of the class is very similar to `FacetGrid`. First you initialize the grid, then you pass plotting function to a ``map`` method and it will be called on each subplot. There is also a companion function, `pairplot` that trades off some flexibility for faster plotting." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "iris = sns.load_dataset(\"iris\")\n", + "g = sns.PairGrid(iris)\n", + "g.map(plt.scatter)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It's possible to plot a different function on the diagonal to show the univariate distribution of the variable in each column. Note that the axis ticks won't correspond to the count or density axis of this plot, though." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = sns.PairGrid(iris)\n", + "g.map_diag(plt.hist)\n", + "g.map_offdiag(plt.scatter)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A very common way to use this plot colors the observations by a separate categorical variable. For example, the iris dataset has four measurements for each of three different species of iris flowers so you can see how they differ." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = sns.PairGrid(iris, hue=\"species\")\n", + "g.map_diag(plt.hist)\n", + "g.map_offdiag(plt.scatter)\n", + "g.add_legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "By default every numeric column in the dataset is used, but you can focus on particular relationships if you want." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = sns.PairGrid(iris, vars=[\"sepal_length\", \"sepal_width\"], hue=\"species\")\n", + "g.map(plt.scatter)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It's also possible to use a different function in the upper and lower triangles to emphasize different aspects of the relationship." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = sns.PairGrid(iris)\n", + "g.map_upper(plt.scatter)\n", + "g.map_lower(sns.kdeplot, cmap=\"Blues_d\")\n", + "g.map_diag(sns.kdeplot, lw=3, legend=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The square grid with identity relationships on the diagonal is actually just a special case, and you can plot with different variables in the rows and columns." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:1241: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n", + " warnings.warn(UserWarning(msg))\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = sns.PairGrid(tips, y_vars=[\"tip\"], x_vars=[\"total_bill\", \"size\"], size=4)\n", + "g.map(sns.regplot, color=\".3\")\n", + "g.set(ylim=(-1, 11), yticks=[0, 5, 10])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Of course, the aesthetic attributes are configurable. For instance, you can use a different palette (say, to show an ordering of the ``hue`` variable) and pass keyword arguments into the plotting functions." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = sns.PairGrid(tips, hue=\"size\", palette=\"GnBu_d\")\n", + "g.map(plt.scatter, s=50, edgecolor=\"white\")\n", + "g.add_legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`PairGrid` is flexible, but to take a quick look at a dataset, it can be easier to use `pairplot`. This function uses scatterplots and histograms by default, although a few other kinds will be added (currently, you can also plot regression plots on the off-diagonals and KDEs on the diagonal)." + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:2065: UserWarning: The `size` parameter has been renamed to `height`; pleaes update your code.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.pairplot(iris, hue=\"species\", size=2.5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can also control the aesthetics of the plot with keyword arguments, and it returns the `PairGrid` instance for further tweaking." + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/seaborn/axisgrid.py:2065: UserWarning: The `size` parameter has been renamed to `height`; pleaes update your code.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = sns.pairplot(iris, hue=\"species\", palette=\"Set2\", diag_kind=\"kde\", size=2.5)" + ] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.0" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} From e9ae0bac52c50643ff987d8536f8a91b3f6c7ff9 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 13 Nov 2018 21:41:52 -0800 Subject: [PATCH 47/78] fixing lesson 14 link --- README.md | 2 +- schedule.tsv | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 475d25d..45704c4 100644 --- a/README.md +++ b/README.md @@ -157,7 +157,7 @@ Lesson | Title | Readings | Topics | Assignment [11](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson11.ipynb) | Pandas Part I | McKinney: [Ch4](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/numpy-basics-arrays-and-vectorized-computation/numpy_html), [Ch5](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/getting-started-with-pandas/pandas_html) | Introduction to NumPy and Pandas: `ndarray`, `Series`, `DataFrame`, `index`, `columns`, `dtypes`, `info`, `describe`, `read_csv`, `head`, `tail`, `loc`, `iloc`, `ix`, `to_datetime` | -- [12](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson12.ipynb) | Pandas Part II | McKinney: [Ch6](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/data-loading-storage-and-file-formats/io_html), [Ch7](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/data-cleaning-and-preparation/data_preparation_html), [Ch8](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/data-wrangling-join-combine-and-reshape/wrangling_html) | Data Analysis with Pandas: `concat`, `append`, `merge`, `join`, `set_option`, `stack`, `unstack`, `transpose`, dot-notation, `values`, `apply`, `lambda`, `sort_index`, `sort_values`, `to_csv`, `read_csv`, `isnull` | Assignment 6: Pandas Fundamentals [13](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson13.ipynb) | Plotting with Matplotlib | McKinney: [Ch9](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/plotting-and-visualization/vis_html); Johansson: [Matplotlib 2D and 3D plotting in Python](http://github.com/jrjohansson/scientific-python-lectures) | Matplotlib tutorial from J.R. Johansson | -- -[14](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson14.ipynb) | Plotting with Seaborn | [Seaborn Tutorial](http://seaborn.pydata.org/tutorial.html) | Seaborn tutorial from Michael Waskom | Assignment 7: Plotting +[14](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson14.1.ipynb) | Plotting with Seaborn | [Seaborn Tutorial](http://seaborn.pydata.org/tutorial.html) | Seaborn tutorial from Michael Waskom | Assignment 7: Plotting [15](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson15.ipynb) | Pandas Time Series | McKinney: [Ch11](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/time-series/timeseries_html) | Time series data in Pandas | -- [16](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson16.ipynb) | Pandas Group Operations | McKinney: [Ch10](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/data-aggregation-and-group-operations/groupby_html) | `groupby`, `melt`, `pivot`, `inplace=True`, `reindex` | Assignment 8: Time Series and Group Operations [17](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson17.ipynb) | Statistics Packages | [Handbook of Biological Statistics](http://www.biostathandbook.com) | Statistics capabilities of Pandas, Numpy, Scipy, and Scikit-bio | -- diff --git a/schedule.tsv b/schedule.tsv index 14f50e5..1727bc6 100644 --- a/schedule.tsv +++ b/schedule.tsv @@ -13,7 +13,7 @@ Lesson | Title | Readings | Topics | Assignment [11](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson11.ipynb) | Pandas Part I | McKinney: [Ch4](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/numpy-basics-arrays-and-vectorized-computation/numpy_html), [Ch5](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/getting-started-with-pandas/pandas_html) | Introduction to NumPy and Pandas: `ndarray`, `Series`, `DataFrame`, `index`, `columns`, `dtypes`, `info`, `describe`, `read_csv`, `head`, `tail`, `loc`, `iloc`, `ix`, `to_datetime` | -- [12](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson12.ipynb) | Pandas Part II | McKinney: [Ch6](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/data-loading-storage-and-file-formats/io_html), [Ch7](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/data-cleaning-and-preparation/data_preparation_html), [Ch8](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/data-wrangling-join-combine-and-reshape/wrangling_html) | Data Analysis with Pandas: `concat`, `append`, `merge`, `join`, `set_option`, `stack`, `unstack`, `transpose`, dot-notation, `values`, `apply`, `lambda`, `sort_index`, `sort_values`, `to_csv`, `read_csv`, `isnull` | Assignment 6: Pandas Fundamentals [13](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson13.ipynb) | Plotting with Matplotlib | McKinney: [Ch9](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/plotting-and-visualization/vis_html); Johansson: [Matplotlib 2D and 3D plotting in Python](http://github.com/jrjohansson/scientific-python-lectures) | Matplotlib tutorial from J.R. Johansson | -- -[14](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson14.ipynb) | Plotting with Seaborn | [Seaborn Tutorial](http://seaborn.pydata.org/tutorial.html) | Seaborn tutorial from Michael Waskom | Assignment 7: Plotting +[14](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson14.1.ipynb) | Plotting with Seaborn | [Seaborn Tutorial](http://seaborn.pydata.org/tutorial.html) | Seaborn tutorial from Michael Waskom | Assignment 7: Plotting [15](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson15.ipynb) | Pandas Time Series | McKinney: [Ch11](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/time-series/timeseries_html) | Time series data in Pandas | -- [16](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson16.ipynb) | Pandas Group Operations | McKinney: [Ch10](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/data-aggregation-and-group-operations/groupby_html) | `groupby`, `melt`, `pivot`, `inplace=True`, `reindex` | Assignment 8: Time Series and Group Operations [17](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson17.ipynb) | Statistics Packages | [Handbook of Biological Statistics](http://www.biostathandbook.com) | Statitics capabilities of Pandas, Numpy, Scipy, and Scikit-bio | -- From 125953107832851dc8006473b7c14a892ffe4387 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 13 Nov 2018 23:11:37 -0800 Subject: [PATCH 48/78] more updating seaborn lesson to version 0.9.0 --- lessons/lesson14.1.ipynb | 97 +++++-- lessons/lesson14.2.ipynb | 61 +++-- lessons/lesson14.3.ipynb | 540 ++++++++++++++++++++++++++++++++++--- lessons/lesson14.4.ipynb | 564 ++++++++++++++++++++++++++++++++++++--- lessons/lesson14.5.ipynb | 371 ++++++++++++++----------- 5 files changed, 1359 insertions(+), 274 deletions(-) diff --git a/lessons/lesson14.1.ipynb b/lessons/lesson14.1.ipynb index 4e08b38..1e0c911 100644 --- a/lessons/lesson14.1.ipynb +++ b/lessons/lesson14.1.ipynb @@ -148,12 +148,72 @@ { "data": { "text/plain": [ - 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"data = np.random.normal(size=(20, 6)) + np.arange(6) / 2\n", "sns.boxplot(data=data)" ] }, @@ -181,7 +240,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -202,7 +261,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -230,7 +289,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -260,7 +319,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -288,7 +347,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -325,7 +384,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -356,7 +415,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -391,7 +450,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -430,7 +489,7 @@ " 'axes.spines.top': True}" ] }, - "execution_count": 15, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -448,7 +507,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -469,7 +528,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -508,7 +567,7 @@ " 'axes.spines.top': True}" ] }, - "execution_count": 17, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -530,7 +589,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -546,7 +605,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -568,7 +627,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -590,7 +649,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -623,7 +682,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": {}, "outputs": [ { diff --git a/lessons/lesson14.2.ipynb b/lessons/lesson14.2.ipynb index b67bbaa..3502da7 100644 --- a/lessons/lesson14.2.ipynb +++ b/lessons/lesson14.2.ipynb @@ -443,7 +443,7 @@ { "data": { "text/plain": [ - "[]" + "[]" ] }, "execution_count": 15, @@ -716,6 +716,28 @@ "cell_type": "code", "execution_count": 24, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(array([-0.33617823, 2.43880787, 1.67480892, 1.98975273, 0.99071373]),\n", + " array([ 0.34208098, -2.52029976, 1.44056054, -0.2604635 , 0.94806489]))" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x, y = np.random.multivariate_normal((0, 0), ((1, -.5), (-.5, 1)), size=300).T\n", + "x[:5], y[:5]" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, "outputs": [ { "name": "stderr", @@ -728,10 +750,10 @@ { "data": { "text/plain": [ - 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" + ], + "text/plain": [ + " time value\n", + "0 0 -1.535067\n", + "1 1 -3.309895\n", + "2 2 -2.844483\n", + "3 3 -2.996716\n", + "4 4 -4.268212" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.DataFrame(dict(time=np.arange(500),\n", + " value=np.random.randn(500).cumsum()))\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -306,8 +494,6 @@ } ], "source": [ - "df = pd.DataFrame(dict(time=np.arange(500),\n", - " value=np.random.randn(500).cumsum()))\n", "g = sns.relplot(x=\"time\", y=\"value\", kind=\"line\", data=df)\n", "g.fig.autofmt_xdate()" ] @@ -321,12 +507,12 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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0s1318stimparietal-0.017552
1s514stimparietal-0.080883
2s1218stimparietal-0.081033
3s1118stimparietal-0.046134
4s1018stimparietal-0.037970
\n", + "
" + ], + "text/plain": [ + " subject timepoint event region signal\n", + "0 s13 18 stim parietal -0.017552\n", + "1 s5 14 stim parietal -0.080883\n", + "2 s12 18 stim parietal -0.081033\n", + "3 s11 18 stim parietal -0.046134\n", + "4 s10 18 stim parietal -0.037970" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fmri = sns.load_dataset(\"fmri\")\n", + "fmri.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -366,7 +649,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -378,7 +661,6 @@ } ], "source": [ - "fmri = sns.load_dataset(\"fmri\")\n", "sns.relplot(x=\"timepoint\", y=\"signal\", kind=\"line\", data=fmri);" ] }, @@ -391,7 +673,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -420,7 +702,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -449,7 +731,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -482,12 +764,12 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -511,12 +793,12 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -541,12 +823,12 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -571,12 +853,12 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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alignchoicetimecoherencefiring_rate
0dotsT1-800.033.189967
1dotsT1-803.231.691726
2dotsT1-806.434.279840
3dotsT1-8012.832.631874
4dotsT1-8025.635.060487
\n", + "
" + ], + "text/plain": [ + " align choice time coherence firing_rate\n", + "0 dots T1 -80 0.0 33.189967\n", + "1 dots T1 -80 3.2 31.691726\n", + "2 dots T1 -80 6.4 34.279840\n", + "3 dots T1 -80 12.8 32.631874\n", + "4 dots T1 -80 25.6 35.060487" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dots = sns.load_dataset(\"dots\").query(\"align == 'dots'\")\n", + "dots.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -649,7 +1028,6 @@ } ], "source": [ - "dots = sns.load_dataset(\"dots\").query(\"align == 'dots'\")\n", "sns.relplot(x=\"time\", y=\"firing_rate\",\n", " hue=\"coherence\", style=\"choice\",\n", " kind=\"line\", data=dots);" @@ -664,7 +1042,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -697,7 +1075,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -731,7 +1109,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -762,7 +1140,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -796,12 +1174,92 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 30, "metadata": {}, "outputs": [ { "data": { - "image/png": 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timevalue
02017-01-01-0.982895
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22017-01-03-0.448849
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\n", + "
" + ], + "text/plain": [ + " time value\n", + "0 2017-01-01 -0.982895\n", + "1 2017-01-02 -0.506648\n", + "2 2017-01-03 -0.448849\n", + "3 2017-01-04 0.474032\n", + "4 2017-01-05 -0.368041" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2 = pd.DataFrame(dict(time=pd.date_range(\"2017-1-1\", periods=500),\n", + " value=np.random.randn(500).cumsum()))\n", + "df2.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" ] @@ -813,9 +1271,7 @@ } ], "source": [ - "df = pd.DataFrame(dict(time=pd.date_range(\"2017-1-1\", periods=500),\n", - " value=np.random.randn(500).cumsum()))\n", - "g = sns.relplot(x=\"time\", y=\"value\", kind=\"line\", data=df)\n", + "g = sns.relplot(x=\"time\", y=\"value\", kind=\"line\", data=df2)\n", "g.fig.autofmt_xdate()" ] }, @@ -832,7 +1288,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -863,7 +1319,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 33, "metadata": {}, "outputs": [ { diff --git a/lessons/lesson14.4.ipynb b/lessons/lesson14.4.ipynb index b6a2417..daed9c5 100644 --- a/lessons/lesson14.4.ipynb +++ b/lessons/lesson14.4.ipynb @@ -88,6 +88,115 @@ { "cell_type": "code", "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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total_billtipsexsmokerdaytimesize
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110.341.66MaleNoSunDinner3
221.013.50MaleNoSunDinner3
323.683.31MaleNoSunDinner2
424.593.61FemaleNoSunDinner4
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caratcutcolorclaritydepthtablepricexyz
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10.21PremiumESI159.861.03263.893.842.31
20.23GoodEVS156.965.03274.054.072.31
30.29PremiumIVS262.458.03344.204.232.63
40.31GoodJSI263.358.03354.344.352.75
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111female38.01071.2833CFirstwomanFalseCCherbourgyesFalse
213female26.0007.9250SThirdwomanFalseNaNSouthamptonyesTrue
311female35.01053.1000SFirstwomanFalseCSouthamptonyesFalse
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" + ], + "text/plain": [ + " survived pclass sex age sibsp parch fare embarked class \\\n", + "0 0 3 male 22.0 1 0 7.2500 S Third \n", + "1 1 1 female 38.0 1 0 71.2833 C First \n", + "2 1 3 female 26.0 0 0 7.9250 S Third \n", + "3 1 1 female 35.0 1 0 53.1000 S First \n", + "4 0 3 male 35.0 0 0 8.0500 S Third \n", + "\n", + " who adult_male deck embark_town alive alone \n", + "0 man True NaN Southampton no False \n", + "1 woman False C Cherbourg yes False \n", + "2 woman False NaN Southampton yes True \n", + "3 woman False C Southampton yes False \n", + "4 man True NaN Southampton no True " + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic = sns.load_dataset(\"titanic\")\n", + "titanic.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -605,7 +1003,6 @@ } ], "source": [ - "titanic = sns.load_dataset(\"titanic\")\n", "sns.catplot(x=\"sex\", y=\"survived\", hue=\"class\", kind=\"bar\", data=titanic);" ] }, @@ -618,7 +1015,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -647,7 +1044,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -680,12 +1077,12 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 27, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -709,12 +1106,12 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 28, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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" + ], + "text/plain": [ + " sepal_length sepal_width petal_length petal_width species\n", + "0 5.1 3.5 1.4 0.2 setosa\n", + "1 4.9 3.0 1.4 0.2 setosa\n", + "2 4.7 3.2 1.3 0.2 setosa\n", + "3 4.6 3.1 1.5 0.2 setosa\n", + "4 5.0 3.6 1.4 0.2 setosa" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "iris = sns.load_dataset(\"iris\")\n", + "iris.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -760,7 +1254,6 @@ } ], "source": [ - "iris = sns.load_dataset(\"iris\")\n", "sns.catplot(data=iris, orient=\"h\", kind=\"box\");" ] }, @@ -773,7 +1266,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -802,7 +1295,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -841,7 +1334,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 33, "metadata": { "scrolled": false }, @@ -874,7 +1367,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -896,13 +1389,6 @@ " data=titanic.query(\"fare > 0\"))\n", "g.set(xscale=\"log\");" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/lessons/lesson14.5.ipynb b/lessons/lesson14.5.ipynb index 8fb209f..81d6e3b 100644 --- a/lessons/lesson14.5.ipynb +++ b/lessons/lesson14.5.ipynb @@ -65,49 +65,20 @@ "execution_count": 5, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" - ] - }, { "data": { "text/plain": [ - "" + "array([ 0.42852369, 1.19133255, -0.45820746, -1.85860798, 1.02445299])" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ "x = np.random.normal(size=100)\n", - "sns.distplot(x)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Histograms\n", - "\n", - "Histograms are likely familiar, and a `hist()` function already exists in matplotlib. A histogram represents the distribution of data by forming bins along the range of the data and then drawing bars to show the number of observations that fall in each bin.\n", - "\n", - "To illustrate this, let's remove the density curve and add a rug plot, which draws a small vertical tick at each observation. You can make the rug plot itself with the `rugplot()` function, but it is also available in `distplot()`:" + "x[:5]" ] }, { @@ -115,10 +86,18 @@ "execution_count": 6, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 6, @@ -127,7 +106,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -137,14 +116,18 @@ } ], "source": [ - "sns.distplot(x, kde=False, rug=True)" + "sns.distplot(x)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "When drawing histograms, the main choice you have is the number of bins to use and where to place them. `distplot()` uses a simple rule to make a good guess for what the right number is by default, but trying more or fewer bins might reveal other features in the data:" + "#### Histograms\n", + "\n", + "Histograms are likely familiar, and a `hist()` function already exists in matplotlib. A histogram represents the distribution of data by forming bins along the range of the data and then drawing bars to show the number of observations that fall in each bin.\n", + "\n", + "To illustrate this, let's remove the density curve and add a rug plot, which draws a small vertical tick at each observation. You can make the rug plot itself with the `rugplot()` function, but it is also available in `distplot()`:" ] }, { @@ -155,7 +138,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 7, @@ -164,7 +147,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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" ] @@ -174,16 +157,14 @@ } ], "source": [ - "sns.distplot(x, bins=20, kde=False, rug=True)" + "sns.distplot(x, kde=False, rug=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Kernel density estimaton\n", - "\n", - "The kernel density estimate may be less familiar, but it can be a useful tool for plotting the shape of a distribution. Like the histogram, the KDE plots encodes the density of observations on one axis with height along the other axis:" + "When drawing histograms, the main choice you have is the number of bins to use and where to place them. `distplot()` uses a simple rule to make a good guess for what the right number is by default, but trying more or fewer bins might reveal other features in the data:" ] }, { @@ -194,7 +175,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -203,7 +184,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -213,14 +194,16 @@ } ], "source": [ - "sns.distplot(x, hist=False, rug=True)" + "sns.distplot(x, bins=20, kde=False, rug=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Drawing a KDE is more computationally involved than drawing a histogram. What happens is that each observation is first replaced with a normal (Gaussian) curve centered at that value:" + "#### Kernel density estimaton\n", + "\n", + "The kernel density estimate may be less familiar, but it can be a useful tool for plotting the shape of a distribution. Like the histogram, the KDE plots encodes the density of observations on one axis with height along the other axis:" ] }, { @@ -231,7 +214,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 9, @@ -240,7 +223,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -250,25 +233,14 @@ } ], "source": [ - "x = np.random.normal(0, 1, size=30)\n", - "bandwidth = 1.06 * x.std() * x.size ** (-1 / 5.)\n", - "support = np.linspace(-4, 4, 200)\n", - "\n", - "kernels = []\n", - "for x_i in x:\n", - "\n", - " kernel = stats.norm(x_i, bandwidth).pdf(support)\n", - " kernels.append(kernel)\n", - " plt.plot(support, kernel, color=\"r\")\n", - "\n", - "sns.rugplot(x, color=\".2\", linewidth=3)" + "sns.distplot(x, hist=False, rug=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Next, these curves are summed to compute the value of the density at each point in the support grid. The resulting curve is then normalized so that the area under it is equal to 1:" + "We can see that if we use the `kdeplot()` function in seaborn, we get the same curve. This function is used by `distplot()`, but it provides a more direct interface with easier access to other options when you just want the density estimate:" ] }, { @@ -279,7 +251,7 @@ { "data": { "text/plain": [ - "[]" + "" ] }, "execution_count": 10, @@ -288,7 +260,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -298,16 +270,14 @@ } ], "source": [ - "density = np.sum(kernels, axis=0)\n", - "density /= integrate.trapz(density, support)\n", - "plt.plot(support, density)" + "sns.kdeplot(x, shade=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We can see that if we use the `kdeplot()` function in seaborn, we get the same curve. This function is used by `distplot()`, but it provides a more direct interface with easier access to other options when you just want the density estimate:" + "The bandwidth (``bw``) parameter of the KDE controls how tightly the estimation is fit to the data, much like the bin size in a histogram. It corresponds to the width of the kernels we plotted above. The default behavior tries to guess a good value using a common reference rule, but it may be helpful to try larger or smaller values:" ] }, { @@ -318,7 +288,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -327,7 +297,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -337,14 +307,17 @@ } ], "source": [ - "sns.kdeplot(x, shade=True)" + "sns.kdeplot(x)\n", + "sns.kdeplot(x, bw=.2, label=\"bw: 0.2\")\n", + "sns.kdeplot(x, bw=2, label=\"bw: 2\")\n", + "plt.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "The bandwidth (``bw``) parameter of the KDE controls how tightly the estimation is fit to the data, much like the bin size in a histogram. It corresponds to the width of the kernels we plotted above. The default behavior tries to guess a good value using a common reference rule, but it may be helpful to try larger or smaller values:" + "As you can see above, the nature of the Gaussian KDE process means that estimation extends past the largest and smallest values in the dataset. It's possible to control how far past the extreme values the curve is drawn with the ``cut`` parameter; however, this only influences how the curve is drawn and not how it is fit:" ] }, { @@ -355,7 +328,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 12, @@ -364,7 +337,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -374,17 +347,17 @@ } ], "source": [ - "sns.kdeplot(x)\n", - "sns.kdeplot(x, bw=.2, label=\"bw: 0.2\")\n", - "sns.kdeplot(x, bw=2, label=\"bw: 2\")\n", - "plt.legend()" + "sns.kdeplot(x, shade=True, cut=0)\n", + "sns.rugplot(x)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "As you can see above, the nature of the Gaussian KDE process means that estimation extends past the largest and smallest values in the dataset. It's possible to control how far past the extreme values the curve is drawn with the ``cut`` parameter; however, this only influences how the curve is drawn and not how it is fit:" + "#### Fitting parametric distributions\n", + "\n", + "You can also use `distplot()` to fit a parametric distribution to a dataset and visually evaluate how closely it corresponds to the observed data:" ] }, { @@ -395,36 +368,17 @@ { "data": { "text/plain": [ - "" + "array([ 7.6033878 , 7.55088281, 5.47982722, 13.32978446, 9.65640097])" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" - }, - { - "data": { - "image/png": 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RgbBDZbM57w3+co7g1py5r7KppYM1m45gtdp4alY8GrVytw576jmCG5paOngr+wTJiZE8MSPutss58/vJmbhCO/XZOQIhHGWxWvltVgkN1zr49wdjFA0Bcf2+gsQRoewvqqC2UR50L25PgkD0mm2flHLqYj0/+N4Igvy8lS5HAFPiw7FxfchvIW5HgkD0igPFFXx05DL3j49iWIR7XmvtioL8vUkYFsLnhRUyMqm4LQkCccfOVzTyp5zTjBqs554x4XJex8lMijPSabHyUcElpUsRTkqCQNyRhuZ2frOzmAH+3qQnR0sIOKHQIF9GDtbzccEVeYqZuCUJAtFjnRYrG7JKuNZq5pEHR8qD553YlHgjre2dfFZYrnQpwglJEIgesdlsbM49Q+nlBn74bzH4+8izBZxZZKg/Q8ID2PfFRTotVqXLEU5GgkD0yMcFl/mssJwHJw1msIMDmwllTYkPp765g0Mnujf4o3B/EgSi246X1fLXj0tJHBHKpFiDnBdwEdERgYQH+/FBfhlW572PVChAgkB0S1VtC7/NLCEiVMfMpCFYLPKB4ipUKhWT48Opqm2lsLRG6XKEE5EgEA5raevk1zuKUKtVPPJADDbpanY5sYP16AO8+SCvDCceXUb0MwkC4RCr1cbvdpVQXdfKY9NH4aWWt44rUqtVTIozcr6ikTOX6pUuRzgJ+WsWDnnvH6WUnKtl3vdGoPeX4SNcWcKwUHS+Xuw5dFHpUoSTkCAQdh0ormDfF5e4f/xAYgYGIT0Krk3rpeaumDCKz9ZQflUeci8kCIQdpZcb+FPOKeKG6Lk3IUJODruJu0aG4aVRkXtYhp0QEgTiO1TVtfDrHUWEBPnyUPIwOiUE3IbOV8uYYSHklVRQ39SudDlCYRIE4paaWjrI2F4IwIJpo0AywO1MjDXSabHxwYFzSpciFCZBIL7F3GnhzZ3F1Da28+PUWLw18jZxR6FBvowYGMSeA+fpMFuULkcoyKG/8OzsbNLS0pg+fTpbtmz51vyPPvqI9PR0HnroIZ5//nkaGhoAyMzMJDk5mfT0dNLT08nIyOjd6kWvs9psvP3BSUovN/DotJEE6bRKlyT60KQ4I00tZvKPVypdilCQ3ZHCqqqqyMjIYOfOnXh7e/PII48wZcoUYmJiAGhubmbVqlXs2LGD8PBwfvWrX/Hmm2/y85//nJKSElasWMHs2bP7fEdE79jx6VkOn6rmoeRhRIX6y/ARbm6wMYAogz85X1zkvnEDUatkBFlPZPeIIC8vj6SkJPR6PTqdjtTUVHJycrrmm81mVq5cSXh4OACxsbFUVFQAUFxcTGZmJnPmzOHFF1/sOlIQzunjgsvsPXiR+xIjGT1ULyHgAVQqFfcmRlFV20rx2VqlyxEKsRsE1dXVGAyGrmmj0UhV1b9GLwwODmbatGkAtLW18dZbb/Hggw8CYDAYeP7559m1axeRkZGsWbOmt+sXveTg8Uq2fHiGcTFhJI+NxCrDR3iMsSNCCdRp2XtInmvsqex2DVmtVlRfO1y02Ww3Td/Q1NTECy+8QFxcHA8//DAAGzZs6Jq/aNGirsBwVGioDG98OwZD7z0X+MjJKv64+ySjh4Xwo2mxbvV4Gb1ep3QJLiF5XBR788toaLcQM0ivdDlOqzf/7pyJ3SCIiIjgyJEjXdMmkwmj0XjTMtXV1Tz99NMkJSXx0ksvAdeDYceOHTz55JPA9QDRaDTdKq6mplm6J27BYAjEZGrqld9VermB1/96jCiDPw9NjaahvqVXfq8z0Ot11LvR/vQVvV7HqIFBfKxV89d9p3jmoTFKl+SUevPvrq+o1aoefYG22zU0depU8vPzqa2tpbW1ldzcXFJSUrrmWywWnn32WWbOnMnLL7/cdbSg0+l4++23KSy8fi365s2bu31EIPrW5epm1r9XSHCgD//+wEgJXQ/m460hcXgoh09WUdvYpnQ5op/ZPSIIDw9n6dKlLFy4ELPZzPz580lMTGTx4sUsWbKEyspKTpw4gcViYd++fQAkJCTw6quvsn79elatWkVbWxvR0dGsXbu2z3dIOKaytoU3tn2Jj1bD49NjUUkGeLy7Y40UnDHxUcFlfvT9GKXLEf1IZXPiQcmla+jW7vQQtaq2hV9uPYrFauMnaXH4at3zecPSNeSYr7fTrgPnKats4o0X7sVPnkN9E4/uGhLu5eYQiHfbEBA9MynOSFuHhc+LypUuRfQjCQIPUlXXwtq/HKPTciMEunfyXri/yFB/BhsCyD18CYtcQ+wxJAg8RHVdC2u3HsPcaeXpWRIC4vYmxhmobWyn4PRVpUsR/USCwANcMTXzy3+GwE/S4vCREBDfISZqACGBPuQcuiDPNfYQEgRurvRKA7/YchSrzcZPZsXj5y3nBMR3U6lU3B1roKyyidIrMiyMJ5AgcGPF52p4/a/H8PfT8vSsePzkSEA4KGFYKH4+XuyV5xp7BAkCN3XweCW//lsR4cE6npwZj5da/quF47ReasbHhFL41VUqa+USXHcnnw5uxmazse+Li7yVfYIRUUEsmDYSedq86IkJIw2o1fJcY08gQeBGzJ1W3tlzim2flDJ+ZBg/uH8ENrkCUPSQv5+WhGEhHCiqoPFah9LliD4kQeAmGq518D9/Ocb+4gpSpwxh5uQhWORh8+IOTYwzYrZY+eTYZaVLEX1IgsANXKhsYs2mw1ysamLhjFjuignDIkNziF4QGuRLTNQAPim4Qrs819htSRC4uLySCl7bXIAKeCY9gcgQnYzPJHrVpDgjza1m8kvkucbuSi4qd1Gt7Z1szj1N/vEqRg4aQPp9w1Ej54VF7xtk8GdgqI69hy6SMm4garU7PbpIgBwRuKSvLtWx+p3DHDxRxcykIcy/f4T8R4o+o1KpmBhnxFTfypelMuyEO5IjAhditdnI/eISOz49ywB/b55JT0Cv85bzAaLPjRqkRx/gzd6DF5gwymB/BeFSJAhcxBVTM5tyTnH2SiOTRofz/fEDwXY9HIToa2q1iomxRj4quEzplQZiogYoXZLoRdKj4OTMnVayPj/HqncOU1XbyqMPjmTe92JAPv9FP0sYHoKvt4YcGXbC7cgRgRP76nI9m/aeoqKmhcnxRu4fH4UKOSEslOHtpeGukWEcPF5FZW0LESE6pUsSvcShI4Ls7GzS0tKYPn06W7Zs+db8jz76iPT0dB566CGef/55Ghquj1hYXl7OY489xowZM3juuee4du1a71bvpmoa2vj9ruO8tvkoHWYrT6XF88CEQci1GkJpMuyEe7IbBFVVVWRkZLB161aysrLYtm0bpaWlXfObm5tZtWoVb731Frt27SI2NpY333wTgNWrV7NgwQJycnJISEhg48aNfbcnbqC1vZMdn57lpT8c5OgZE9MnD2bR7HjCBvjKCWHhFPz9tIy5MexEiww74S7sBkFeXh5JSUno9Xp0Oh2pqank5OR0zTebzaxcuZLw8HAAYmNjqaiowGw2c/jwYVJTUwGYN2/eTeuJfzF3Wvn7sSv8v7cOsjv/AuNjwljyg0TuigmTbiDhdCbF/nPYiaMy7IS7sHuOoLq6GoPhX5eLGY1GioqKuqaDg4OZNm0aAG1tbbz11lv8+Mc/pq6ujoCAALy8rm/CYDBQVVXV2/W7tPYOC59+eYWcLy5S39zxz9FCR6H398ZqtUkICKcUOuBfw07MnDJUnnjnBuwGgdVqRaX6V++0zWa7afqGpqYmXnjhBeLi4nj44Yepqqr61nK3Wu+7hIYGdGt5V9Hcamb3gXPs+uwcjdc6GD0shIVpQ4gM83f4w1+vlxN1jpB2ckx32+n7Ewfzh/dLOHa2ljn3De+jqpyPwRCodAl9wm4QREREcOTIka5pk8mE0Wi8aZnq6mqefvppkpKSeOmllwAICQmhqakJi8WCRqO55Xr21NQ0u9W4OY0tHXx4+BKfHL1Ma7uFhOEh3Jc4kOAAHzotVurqHHsAiF6vo75eHhZij7STY3rSTno/L6IM/vzt4zNMHBmKl8b9r0Q3GAIxmZqULuM7qdWqHn2Btvu/N3XqVPLz86mtraW1tZXc3FxSUlK65lssFp599llmzpzJyy+/3PWtX6vVMnHiRPbs2QNAVlbWTet5ktrGNrZ+dIblG/PYk3+B+OgQlsxP5KGpwwj009JpkYcGCNeiUqlIGh1ObVM7h05Il6+rs3tEEB4eztKlS1m4cCFms5n58+eTmJjI4sWLWbJkCZWVlZw4cQKLxcK+ffsASEhI4NVXX2XlypWsWLGC3/72t0RGRrJu3bo+3yFnUl3Xwp6DFzlQXIHNBpNHG0kaE4GftwaLxSYBIFza8MggjMF+fJBfxj1jImQwOhemstmc95Skq3YNXTE1s/vgBQ6dqEKjVnNPQgST4414a9S9chmodHk4RtrJMXfSTqcu1rHrQBnPz01gYlz3un5djTt3Dcmdxb3ofEUjH+SVceyrq/hoNfzbhEHcNSoML5Uaq80m9wIItzNqkJ6QIB+y88q4O9bQ7QtChHOQIOgFZy7Vk51XxvHzteh8vEidPITEEaGoVdeHg5CB4YS7UqtVTIkPZ++hi5Scr2Xs8FClSxI9IEFwB85cquf9/ec5eaGOQJ2W2VOjGT00uGu+fP4LTzB6aDAHiivIPlBGwrAQOSpwQRIEPfD1AAjy9+ah5GGMHqrHKud+hQfSaNRMig/n44LLfHW5nlGDg+2vJJyKBEE3XK5uZvs/Sik5V0uQvzfpycOIHaK//lwACQHhwRKHh3LweCXZeRf4v/8uQeBqJAgcUNfUTubn5zhQXIGftxdz7o1mTHTw9Q9/6f4RAq2XmrtjDXxWWMHZKw2MkAfXuBQJgu/QbrawJ/8C+764iNVm4/7xUUz655URcgQgxM0mjDRw5JSJrM/P8X8fuUvpckQ3SBDcRmHpVbZ8eIarDW3cHWvg3rGR+Hlr5ASwELfhrdUwOd7IP74s58ylekYN1itdknCQ+w8Q0k11Te1syCzmV38rQuulZtGc0UybOBhfrYSAEPbcNdKAv68XmZ+fU7oU0Q1yRPBPVpuNvx+9wo5Pz2Kx2piZNJRxw0Ow2nDJu5uFUILWS82U0eF8cvQKJy/UET9UThy7AgkCrg8K98fdJzl5oY7R0cFMmzQYHy8N8vkvRPeNjwnj8MlqMj87R9zjE+S+Ahfg8UFw6EQV7+47jcVqY/73RxAzMEhOBAtxB7w0apLGhPPhkcscL6slYZjcbezsPDYIWtrMbM49w8ETVQyLDGRO8jB8vTQSAkL0grHDQ/nin0cFY6LlbmNn55FBcKGyiQ2ZxdQ2tl8/FzAiVM4DCNGLbhwV7PviEkVnaxgXE6Z0SeI7eNxVQ58XlvPquwVYrDaeSR9D4vAQCQEh+kDCsFD0Ad7s/OycDLzo5DwmCMydFjbtPcU7e08RM2gAT8+OJ9BPK5eECtFHNGoVyWMjuVTdTH5JpdLliO/gEUFQ09DGf28+ymeF5UybOJi59w5DjfRZCtHX4ocGMzBUx45Pz9LeYVG6HHEbbh8EZ8sbeOVPh6mua+GJmXHcPcogh6lC9BOVSsX37oqivrmD3MMXlS5H3IZbB8EXJ6tYu/UYPt4aFs8ZQ7jeT0JAiH42yBBA3BA9u/MvUNfUrnQ54hYcCoLs7GzS0tKYPn06W7Zsue1yy5cvZ+fOnV3TmZmZJCcnk56eTnp6OhkZGXdesQNsNhsf5JXxu/ePMyQ8gCdmxuGr1fTLtoUQ33Zf4kAsVpsMPeGk7F4+WlVVRUZGBjt37sTb25tHHnmEKVOmEBMTc9MyK1euJD8/n6SkpK7XS0pKWLFiBbNnz+6b6m/BYrWyac8pDpRUMjHOwIN3D5J7A4RQWHCgD3ePMnCgqIIH7x7EkPBApUsSX2P3iCAvL4+kpCT0ej06nY7U1FRycnJuWiY7O5sHHniAmTNn3vR6cXExmZmZzJkzhxdffJGGhoberf4WrpiucaCkkhlThkgICOFEksaE4+ujYdsnpdiki9ap2D0iqK6uxmAwdE0bjUaKiopuWmbRokUAFBQU3PS6wWDgqaeeYsKECaxbt441a9bwxhtvOFxcaGiAw8v+a5uBbF49g3LTNTot7psCer1O6RJcgrSTY/qrnR5JzYolAAAQ9ElEQVSYOIQPDpznwtUWJo2O6Jdt9iaDoe+PZFrbO/HWatCo++/KRrtBYLVab7o93GazOXy7+IYNG7p+XrRoEdOmTetWcTU1zT262csGNDa20mF2z8vV9Hod9fUtSpfh9KSdHNOf7RQ7aAB5QT78bkcRUcG+aL1c59ydwRCIydTUp9soOlvDxsxiHps+ivsSB3Z7fbVa1aMv0Ha7hiIiIjCZTF3TJpMJo9Fo9xc3NTWxadOmrmmbzYZG4zr/6UKI3qdRq3jw7kFU17ey56BcTvp1B09U8uaOIsJDdCQM79+B+uwGwdSpU8nPz6e2tpbW1lZyc3NJSUmx+4t1Oh1vv/02hYWFAGzevLnbRwRCCPcTHRFE/NBgdueXUVUnR2wAfz96mT/sOsHwgUE8Pn0U/r7aft2+3SAIDw9n6dKlLFy4kLlz5zJ79mwSExNZvHgxxcXFt11Po9Gwfv16Vq1axcyZMzl+/DjLli3r1eKFEK7pe+OjUKtVbMk949Enjm02G9l5Zbybe4aE4SHMSxl+vW+7n6lsTvy/cCfnCM6XN8o5Ag8n7eQYpdqp4IyJjwsus3h2PPckRPb79rurt88R2Gw2tn1SSu7hS0yKN/LAhEFYrTY0ahVDI4Pw9ur+/b59do5ACCH6wl0xYQwy+LPlo69oaPasO44tVivv7DlF7uFLpIwfyIMTohQdBVmCQAihCLVaRerkIXSYLbzrQV1E5k4LGzNL2F9cQerkIUwdHY7SV7pLEAghFBMa5Evy2EiOnjFx+FS10uX0udb2Tta/V8Sxr64yN2U4d40Mc4pno0sQCCEUNTHWSFSYP3/KOUVNQ5vS5fSZppYOXv/rMU5frOfRB0cSN0jvNA/FkiAQQihKrVaRljQUi9XGHz444TQfjr2ptrGNX2w5yqXqayycGcsQY4BTjYQsQSCEUFxwoA8PThjEmUv17D3kXjeaVda28NrmAuqa2nlqVhzhej+nezKiBIEQwimMGRZC/NBgdn52lpMX6pQup1ecr2jktc0FdHRaeXr2aPT+Pk4XAiBBIIRwEiqViumTBhMa5Mvv3i+httG1zxcUll7ll1uP4qPV8NSsePx97A7tphgJAiGE0/DRaki/dxjtZgsbs0owd7rmCMKfFZbz5o5iIkJ0PJkWh4+TD64nQSCEcCqhA3yZMXkI58ob+VPOKZe6v8Bms5H1+Tk27T1F3FA9jz44EjX9N5x0TznvsYoQwmPFDQmmrqmdz4sqMOh9SU8ernRJdpk7Lfx532kOFFeSNCac798VhcXiGiEmQSCEcEpJo8NpuNbB+/vLCAn05b5x3R+fv7/UNbWzIbOYc+WNpE4ZwoSYUJcJAZAgEEI4KZVKxbSJg2luMbNp7ym0XmqSxjjfU81KLzewIbOYtg4LT8yIIzJUh8XF7oWQcwRCCKelUatITx7GkIhA/vDBCb44WaV0STf59Msr/HLrUby1Gp6dm0BEiJ9L3hAnRwRCCKem9VLzcPIwdnx2jrd2Haetw0KKwt1EbR2dbP3oK/YXVTA6Opg5U6Ox2XDKewQcIUEghHB63loNP0gZzgf5ZWzae4raxjbSk4c5/Pz03lRW2cjvd52guraFaZMGM3GUweW6gr5JgkAI4RK8tRrSk4fz4ZFL7DpQRkVNC0/MiEPn2z8fYx1mCzs+PcvegxcZEODNojmjCQn0cfkQAAkCIYQL0ahVpP7z7uNPv7zChcomnpubwNCIwD7d7vHztfz1ky+4YmomaUz49a4pF+4K+iaHThZnZ2eTlpbG9OnT2bJly22XW758OTt37uyaLi8v57HHHmPGjBk899xzXLt27c4rFkJ4NJVKxaQ4I48+MJI2s4VX/nSE7Z+U0tbR2evbunL1GuvfK+SNbV9i7rTw1Kx4vjc+SpHnCvclu0FQVVVFRkYGW7duJSsri23btlFaWvqtZZ599ln27dt30+urV69mwYIF5OTkkJCQwMaNG3u3eiGEx4oyBPBEaizjR4aS88VFXv7DIf5+7Armzjt/Vvn5ikY2ZBbzn28f4qvL9cy5N5qfPXIXYUG+LnlVkD12u4by8vJISkpCr9cDkJqaSk5ODj/96U+7lsnOzuaBBx7oWgbAbDZz+PBhNmzYAMC8efN4/PHHWbZsWW/vgxDCQ/n5ePHg3YMZPTSETwvLeXffabIPnCdl3ECmjA4nMtTf4d9V19TO0TMm9hdVcKGqCT8fL6ZNHkzi8BDUKjW4wFARPWU3CKqrqzEYDF3TRqORoqKim5ZZtGgRAAUFBV2v1dXVERAQgJfX9U0YDAaqqpzrGmAhhHsYGObPI/8Ww+Wr1zh8qprsA2XsOlBGVJg/I6IGMCwykLABfgTqtGi91LSbLbS0dVJZ20L51WucvlTPFdP1ruvBxgDm3jeMUYP0drbqPuwGgdVqvekSLZvN5tAlW7darruXeoWGBnRr+Rs6LVZqms10Kv1E6D6k1+uULsElSDs5xl3aKTjYn7EjjTS1tHPifC1fXaqn4LSJzwrLb7uOn48Xw6MGkJQQyfCBAwgd4Hfbp4f1RzupVSr0eh3+fto+39YNdoMgIiKCI0eOdE2bTCaMRqPdXxwSEkJTUxMWiwWNRuPwel9XU9Pco/44G9DY2EqH+c77Cp2RXq+jvr5F6TKcnrSTY9y1nWKjBhAbNQCw0dTSybU2M63tndi4fpOaVqNCH+iLv48XVpvt+hVAViu1dbe+qKW/2kmjVlGv86KlufsDP6jVqh59gba7palTp5Kfn09tbS2tra3k5uaSkpJi9xdrtVomTpzInj17AMjKynJoPSGE6F0qAnVaIkJ0DIsMYnhkEIMNAUSE+OOr1WCx2tzmMtCeshsE4eHhLF26lIULFzJ37lxmz55NYmIiixcvpri4+DvXXblyJdu3byctLY0jR47ws5/9rNcKF0II0TtUNid+6sOddA2dL2+UriEPJ+3kGGknx/Rn19DQyCC8vZyoa0gIIYR7kyAQQggPJ0EghBAeToJACCE8nASBEEJ4OAkCIYTwcBIEQgjh4SQIhBDCw0kQCCGEh5MgEEIIDydBIIQQHk6CQAghPJwEgRBCeDgJAiGE8HASBEII4eEkCIQQwsNJEAghhIeTIBBCCA/nUBBkZ2eTlpbG9OnT2bJly7fmnzx5knnz5pGamsrLL79MZ2cnAJmZmSQnJ5Oenk56ejoZGRm9W70QQog75mVvgaqqKjIyMti5cyfe3t488sgjTJkyhZiYmK5lli1bxn/9138xfvx4XnrpJbZv386CBQsoKSlhxYoVzJ49u093QgghRM/ZPSLIy8sjKSkJvV6PTqcjNTWVnJycrvlXrlyhra2N8ePHAzBv3ryu+cXFxWRmZjJnzhxefPFFGhoa+mg3hBBC9JTdIKiursZgMHRNG41GqqqqbjvfYDB0zTcYDDz//PPs2rWLyMhI1qxZ05u1CyGE6AV2u4asVisqlapr2maz3TT9XfM3bNjQ9fqiRYuYNm1at4oLDQ3o1vI3dFqs1DSb6bRYe7S+K9DrdUqX4BKknRwj7eSY/mgntUqFXq/D30/b59u6wW4QREREcOTIka5pk8mE0Wi8ab7JZOqavnr1KkajkaamJnbs2MGTTz4JXA8IjUbTreJqapqxWm3dWgfABjQ2ttJhtnR7XVeg1+uor29RugynJ+3kGGknx/RXO2nUKup1XrQ0d/+iTrVa1aMv0Ha3NHXqVPLz86mtraW1tZXc3FxSUlK65kdFReHj40NBQQEA77//PikpKeh0Ot5++20KCwsB2Lx5c7ePCIQQQvQ9u0cE4eHhLF26lIULF2I2m5k/fz6JiYksXryYJUuWMHbsWF5//XV+/vOf09zczJgxY1i4cCEajYb169ezatUq2traiI6OZu3atf2xT0IIIbpBZbPZut/30k/upGvofHmjdA15OGknx0g7OaY/u4aGRgbh7eVEXUNCCCHcmwSBEEJ4OAkCIYTwcBIEQgjh4SQIhBDCw0kQCCGEh5MgEEIIDydBIIQQHk6CQAghPJwEgRBCeDgJAiGE8HBuGQTvf37uO+fvL66w+/qNn2+3bG/qj230xvb3F1d0/eut39mT9W61TG+04a327VbTWz864/Dv6+72HV3um+9Ve+v2VZv1lNLveWeXfeB8v27PLYNg14Gy75yfV1Jp9/UbP99u2d7UH9voje3nlVR2/eut39mT9W61TG+04a327VbTl03XHP593d2+o8t9871qb92+arOeUvo97+x251/o1+25ZRAIIYRwnASBEEJ4OAkCIYTwcBIEQgjh4SQIhBDCw0kQCCGEh3MoCLKzs0lLS2P69Ols2bLlW/NPnjzJvHnzSE1N5eWXX6azsxOA8vJyHnvsMWbMmMFzzz3HtWuOXXYnhBCi/9gNgqqqKjIyMti6dStZWVls27aN0tLSm5ZZtmwZ//mf/8m+ffuw2Wxs374dgNWrV7NgwQJycnJISEhg48aNfbMXQggheszL3gJ5eXkkJSWh1+sBSE1NJScnh5/+9KcAXLlyhba2NsaPHw/AvHnz+PWvf80Pf/hDDh8+zIYNG7pef/zxx1m2bJnDxanVqm7vEIAx2A9vrQbVbVY3Bvvh4635ztdv/Hy7ZXtTd7eh9VL3ak2Obt8Y7Nf1s73le9pujqx3q2Vu9Vp32+nG/n19nW/+3lst0506e2P5b9bgSE3f1Wa9/X5yRH/8XfW2/monjVqFMdivR59/Pf3MVNlsNtt3LfD73/+elpYWli5dCsB7771HUVERr7zyCgDHjh1j7dq1/OUvfwHgwoUL/Md//Afvvvsu8+fP57PPPgOgs7OT8ePHU1JS0qNChRBC9A27XUNWqxXV175a22y2m6ZvN/+bywHfmhZCCKE8u0EQERGByWTqmjaZTBiNxtvOv3r1KkajkZCQEJqamrBYLLdcTwghhHOwGwRTp04lPz+f2tpaWltbyc3NJSUlpWt+VFQUPj4+FBQUAPD++++TkpKCVqtl4sSJ7NmzB4CsrKyb1hNCCOEc7J4jgOuXj/7+97/HbDYzf/58Fi9ezOLFi1myZAljx47l1KlT/PznP6e5uZkxY8bw2muv4e3tzZUrV1ixYgU1NTVERkaybt06BgwY0B/7JYQQwkEOBYEQQgj3JXcWCyGEh5MgEEIIDydBIIQQHk6CQAghPJwEgYtbv349b775ptJlOB17AyWKf2lubmb27NlcvnxZ6VKc1m9+8xtmzZrFrFmzWLt2rdLl9DoJAhfV1NTESy+9xDvvvKN0KU7HkYESxXWFhYU8+uijlJWVKV2K08rLy2P//v1kZmaSlZXF8ePH+fDDD5Uuq1dJELiojz/+mOjoaH7yk58oXYrT+fpAiTqdrmugRPFt27dvZ+XKlXLX/3cwGAysWLECb29vtFotI0aMoLy8XOmyepXd0UeFc5o7dy6AdAvdQnV1NQaDoWvaaDRSVFSkYEXO69VXX1W6BKc3cuTIrp/LysrYu3dv1yCb7kKCwMnt3buX11577abXhg8fzqZNm5QpyAXYGyhRiJ746quveOaZZ1i+fDnR0dFKl9OrJAic3MyZM5k5c6bSZbiUiIgIjhw50jUtAx6KO1VQUMCSJUt46aWXmDVrltLl9Do5RyDcjr2BEoXojoqKCl544QVef/11twwBkCMC4YbCw8NZunQpCxcu7BooMTExUemyhIv64x//SHt7O7/4xS+6XnvkkUd49NFHFayqd8mgc0II4eGka0gIITycBIEQQng4CQIhhPBwEgRCCOHhJAiEEMLDSRAIIYSHkyAQQggPJ0EghBAe7v8DJE/rJnjEglgAAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ - "sns.kdeplot(x, shade=True, cut=0)\n", - "sns.rugplot(x)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Fitting parametric distributions\n", - "\n", - "You can also use `distplot()` to fit a parametric distribution to a dataset and visually evaluate how closely it corresponds to the observed data:" + "x = np.random.gamma(6, size=200)\n", + "x[:5]" ] }, { @@ -435,7 +389,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 14, @@ -444,7 +398,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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p3LkzAwd6V/rvqWTl4+LsUOX13ujj6GiP1s2xRhnvlMHFuS19HniYxLjtBIRMwOXuphXaVCWDvEfqjyVmBsvIbbRAeHh4kJiYaJhOT09HpzM++FpOTg4bNmzgiSeeAK4XFmtra9zc3MjJyaGsrAxra2uT13ezzMxc9Hp1BlrTal1IT7e85wnUZe7k5F9JSkri6aefIyMjt9I2+UWl5OQWVmm9Ls4Ohj75+UWkl5XVKKexDAOGjCYx7jtiY9YxYtQTFfubmEHeI/XHEjND/ee2stJU64O10UNMAwYMID4+nqysLAoKCti+fTuDBw82umJHR0c++eQTjh07BsCqVasYPnw4tra2eHt7s2XLFgCioqJMWp8wX999txOAIUOGqZykZprp7sGrz4Mk7NtKbs4fascRQnVGC4S7uzsRERGEhoYyatQogoKC8PLyIjw8nKSkpNv2s7a2ZsmSJbzxxhsEBARw8uRJIiMjAZgzZw7r169n5MiRJCYm8vzzz9feFol6t3v3Lu67ryc6nbvaUWrM138cpaWlHPguWu0oQqjOpLEQgoODCQ4uf/Jx5cqVFdq988475aa9vb3ZtGlThXaenp588cUXVckpzNTFixc4f/4szz33otpRakVzd0/u6z2IQ/u2MujhUTi5qPskPCHUJHdSixrZvXsnGo0GX9+H1Y5Sa3z9x1JaUkz89zJGk2jcpECIGtm9eydeXr0sZmgNU2g9WtHVy4dD+7ZSWJCvdhwhVCMFQlTbhQvnuHjxgsWfnK7Mg8NGU1iQT2LcdrWjCKEaKRCi2nbv3oWVlRW+vub73Ifq8mzdkXadvIjfvZnSEnnqnGicpECIalEUhe++20HPnvfTrFlztePUiQeHjyHnWjbHEvaoHUUIVUiBENVy8eJ5Ll36lSFDhqodpc606+TFPa3as/+7KPT6mt2kJ4QlkgIhqmX//r0ADBrkq3KSuqPRaBg0bDSZaSmcPn5I7ThC1DspEKJa9u/fS5cu3RrU1UuV6dbTBzdtC/bt3IiiqDO8ixBqkQIhqiwjI4PTp08yaFDDHyLFysqaQUNHkXLpLEePHFY7jhD1SgqEqLK4uH0ADBzY8AsEQK++Q3C5qylfrZO7/0XjIgVCVNn+/Xtp0eIe2rVrr3aUemFja4vPQ8Ec+TGBM2d+UjuOEPVGCoSokvz8fH78MYFBgwZX+TkelqzvQD+aODqydu0qtaMIUW+kQIgqSUg4SHFxcYO+eqkyDk2cCAwazZ49u7hyJUXtOELUCykQokr27/8eF5e7uO++nmpHqXcho/+KRqNh/fov1Y4iRL2QAiFMVlpaSnz8fh54YKDhmeKNSfPmWoYPH8G330Zz9ao8UEg0fFIghMlOnTrBtWvXGDjwQbWjqGb8+EkUFhYSFbVB7ShC1DmTCkRMTAwjR47Ez8+P1atX37bdzJkz2bhxo2H68OHDjB07lpCQECZPnszly5cBOHToEP379yckJISQkBBeeeWVGm6GqA8//BCHtbU1ffv6qB1FNW3btsfHZyAbNqynqKhqz9gWwtIYLRCpqaksXryYNWvWEBUVxbp16zh79myFNtOnT2fbtm3l5kdGRjJ//nyio6MJDg5m/vz5AJw4cYKwsDCio6OJjo5mwYIFtbhJoq4cPBhHjx5eODtX/eHnDcnEiY/zxx/ZxMZuUTuKEHXKaIGIi4vDx8cHV1dXHB0d8ff3JzY2tlybmJgYhg4dSkBAgGFecXExzz33HF26dAGgc+fOXLlyBYCkpCT2799PcHAw06dPN8wX5isjI51ffvkZH58BakdRXc+e99OlSzfWrl1NWZkM4icaLqMFIi0tDa32z/F2dDodqamp5dpMmTKFcePGlZtnZ2dHSEgIAHq9ng8//JBhw64/WMbFxYXHH3+cmJgYfH19iYiIqPGGiLp18GA8gGoFQmOlIa+otEZ/9DUcSulGhvziMsaMm8jly8ns2r27wuukZeXfNkOpvnb2hxD1weilKHq9vtwNUYqiVOkGqeLiYmbNmkVpaSnTpk0DYN68eYblEyZM4L333iMnJwcXFxeT1tmsmbqHOLRa03Kam5rkPnLkEO7u7vTvf3+1bpBTsvJxcXaocr8bffRoOJNcsyuHOrduWq0MN9ycoVnrXjTXteCLVZ/h1rqXyfukd2cdWjfHameoa5b43rbEzGAZuY0WCA8PDxITEw3T6enp6HQ6k1ael5fHjBkzcHV1Zfny5dja2qLX61mxYgVTp07F2tra0Pbmn43JzMxFX9OPg9Wk1bqQnp6jymvXRE1yl5aWcuDAAYYMGUZGRm611pFfVEpObtVO6ro4Oxj6lJRUvf+tarqOW/v7+D7CN1+t4MTxI7Rp380w/+bct8rPLyLdTA9LWeJ72xIzQ/3ntrLSVOuDtdFDTAMGDCA+Pp6srCwKCgrYvn07gwebNkhbZGQkrVu3ZsmSJdjZ2f0vqBU7duwwnNCOioqiZ8+eODqa76eqxu7EiePk5eXJ+Ydb3N9/CI5Od3FgV5TaUYSoE0YLhLu7OxEREYSGhjJq1CiCgoLw8vIiPDycpKSk2/Y7deoUu3bt4scff2T06NGEhIQQHh4OwMKFC/n8888JDAxkw4YNhqubhHm6cXlrnz591Y5iVmzt7Ok/eCRnTiSQdiVZ7ThC1DqTbocNDg4mODi43LyVK1dWaPfOO+8Yfu7WrRtnzpypdH0dO3Zk7dq1VckpVPTDD3F4efXCyalxX95amX4PBrB/50bidkczauIzascRolbJndTijtLSUjl//qwcXroNJ+e7uN9nKMcSvufa1Sy14whRq6RAiDtKTLz+LOZ+/Rrv3dPGDBjyCHq9nh++/0btKELUKikQ4o4SEw/RtKkb7dp1UDuK2XJr7kH3Xg+QsH8bhQX5ascRotZIgRC3pSgKhw8n0KdP30b1cKDqGDh0FEWF+RyO36F2FCFqjRQIcVvnz58jOzuLvn37qx3F7Hne24G2HXsQvzuG0tISteMIUSsa36D+jUypHopKSlGy8skvKq1S37gfrg+vcV+vvuRVse+tVLqvsV4NGjqaLz56kyMHv6dLz0FqxxGixqRANHBFJaUknE694929t7Nn3wGa6zxxurspCadTjXe4g56dtMYbWbgOXe/H/Z7W7I7dQGevgXJYTlg8OcQkKlVaWsLFsydp36XxPVq0ujQaDQMfHsWVyxf55fSPascRosakQIhK/XbxZ0qKi2jXyUvtKBblvj6DcG3aXIbfEA2CFAhRqXNnjqHRWNG2Yw+1o1gUa2sbBg8fxYVfTnD50lnjHYQwY1IgRKXOnTmGZ+sOODRxUjuKxXnAdwQOTRzlW4SweFIgRAWFBXlc/vUs7TvL+YfqcGjihPdAf04ejScr43e14whRbVIgRAUXfjmBouilQNSAj28QVlZWxO3erHYUIapNCoSo4NyZY9ja2dOyTSe1o1isu+52o2dfX478sIu83GtqxxGiWqRAiArOnzlOmw7dsbGxVTuKRRv4cAglJcUc2rdV7ShCVIsUCFHO1ewMMtIuy+GlWqD1aEXnHn05uHcLxcVFascRosqkQIhyzv98HEAKRC0ZNHQU+XnXOHrwO7WjCFFlJhWImJgYRo4ciZ+fH6tXr75tu5kzZ7Jx40bDdEpKCpMmTWLEiBHMmDGDvLw8AK5du8bUqVMJCAhg0qRJpKen13AzRG0599MxnF1c0bW4V+0oDcK97brSsk0nDnwXjV5fpnYcIarEaIFITU1l8eLFrFmzhqioKNatW8fZs2crtJk+fTrbtm0rN3/u3LlMnDiR2NhYevTowbJlywBYsmQJ3t7ebN26lXHjxvHWW2/V4iaJ6lIUhXM/H6NdZy8ZR6iWaDQaBg0dRXZmKqeO/aB2HCGqxGiBiIuLw8fHB1dXVxwdHfH39yc2NrZcm5iYGIYOHUpAQIBhXklJCQkJCfj7+wMwZswYQ789e/YYnnEdFBTE3r17KSmRIZLVlnblEnk5V+XwUi3rcl8/mmlbcGBXFIrSCIa1FQ2G0QKRlpaGVvvnSJw6nY7U1PIje06ZMoVx48aVm5ednY2zszM2NtcHjNVqtYZ+N6/TxsYGZ2dnsrLkeb5qO3fmGICMv1TLrKysGfBwCJcvnSXp+BG14whhMqPDfev1+nKHGxRFMenwQ2XtbtdPURSsrEw/X96smbPJbeuCVuui6utXhZKVj4uzA4Dh79v59WwSOo+WtGzVstx8W1sbo32Nqe46bvRRM0N1+t/abtCQEezeupZNG77kkcCh1c5Q1yzpvX2DJWYGy8httEB4eHiQmJhomE5PT0en0xldsZubGzk5OZSVlWFtbV2un06nIyMjAw8PD0pLS8nLy8PV1dXk0JmZuehVegKNVutCenqOKq9dHflFpeTkFhp9HkRpaQlnzyTR22dohXYlJaVVfpbEraqzjpszq5WhOv1vt6/7PTiS775dw8GDR2nXrn21c9QVS3tvg2VmhvrPbWWlqdYHa6Mf2wcMGEB8fDxZWVkUFBSwfft2Bg8ebHTFtra2eHt7s2XLFgCioqIM/Xx9fYmKuj6Q2ZYtW/D29sbWVm7KUpMM7133+g0agb2DA2vXrlI7ihAmMVog3N3diYiIIDQ0lFGjRhEUFISXlxfh4eEkJSXdse+cOXNYv349I0eOJDExkeeffx6A5557jqNHjxIYGMiaNWt4/fXXa2drRLWdO3MMKysZ3rsuOTq5MGJEMDt3biMtrWZP6BOiPpj0yNHg4GDDVUc3rFy5skK7d955p9y0p6cnX3zxRYV2rq6ufPTRR1XJKerYuTPH8Ly3owzvXcdG/2U838Rs5Ouv1/HUU8+qHUeIO5I7qYVheO92neXwUl1z92jBkCFD2bx5E7m5uWrHEeKOpEAIGd67no0f/zj5+Xls3rzReGMhVCQFQnDuzDHs7BxkeO960qlTZ7y9+/HVV2spKpJB/IT5kgIhOH/mOK1leO969dhjT5CZmcG338oDhYT5kgLRyP05vLecf6hP99/fBy+vnqxe/RnFxcVqxxGiUlIgGjkZ3lsdGo2GJ54IJz09jS1b5FuEME9SIBo5Gd5bPX369KVHDy9WrZJvEcI8SYFoxGR4b3Vd/xYxhbS0VLZujVE7jhAVSIFoxGR4b/X17duf7t17sGrVZzLkvTA7UiAaMRneW303zkWkpv7O1q3fqB1HiHKkQDRi584co7m7J3c3ba52lEatXz8funbtzqpVn8q3CGFWpEA0UqWlJVw8e1IOL5mBG+cifv/9Ctu2fat2HCEMpEA0UjK8t3nx8RlA167d+fTTf8vd1cJsSIFopGR4b/Oi0WiYOnUGaWmpbN68Se04QgBSIBotGd7b/PTp04/evb354ov/kp+fr3YcIaRANEYF+TK8t7maOvUp/vgjm6+++lLtKEKY9sCgmJgYli9fTmlpKZMnT2bSpEnllp8+fZrZs2eTl5eHt7c3c+fO5erVq4SFhRna5OTkkJ2dzZEjRzh06BB///vf8fDwAKBbt24sWLCgFjdL3MmFX5KuD+/dpZfaUcQtunXrwaBBg1m7dhWjR4/lrrvuVjuSaMSMfoNITU1l8eLFrFmzhqioKNatW8fZs2fLtYmMjOT1119n27ZtKIrC+vXradasGdHR0URHR7Np0yY8PT2ZN28eACdOnCAsLMywXIpD/Tp35hh29g60kuG9zdKUKTPIz89nzZqKT2MUoj4ZLRBxcXH4+Pjg6uqKo6Mj/v7+xMbGGpZfvnyZwsJCevW6/ml0zJgx5ZYDbNiwgSZNmhgeW5qUlMT+/fsJDg5m+vTpXLlypTa3SRhx7qejtO14H9bWJn2BFLVIY6Uhr6j0jn/cPVsz5GE/NmxYR3LK7xWWl+rV3grRWBj9DZGWloZWqzVM63Q6jh8/ftvlWq2W1NQ/H8heVlbGRx99xLJlywzzXFxcCAgIwM/Pjy+//JKIiAjWrl1b440RxmVnppKV8Ts+vkFqR2mUikrKOPZzutF2XgNC2LN7J//8cBlBf51Wblnfru7Y2EtxF3XP6LtMr9eXG8hNUZRy08aW79u3jzZt2tC5c2fDvBuHmgAmTJjAe++9R05ODi4uLiaFbtbM2aR2dUWrNS2nOVCy8nFxdgDAxdmBpMSTAHjKzjE4AAAfwklEQVT17meYb4ytrY3JbWt7HTf6qJmhOv1v187Udbg4t8VnsD8/7NvGsMBxaN3vMSxzdLRH6+ZoWugqsqT39g2WmBksI7fRAuHh4UFiYqJhOj09HZ1OV255evqfn4gyMjLKLd+5cycjR440TOv1elasWMHUqVOxtrY2zL/5Z2MyM3PR6xWT29cmrdaF9PQcVV67OvKLSsnJLcTF2YGc3EJOHkvk7qbNaeLcnJzcQpPWUVJSanLb2lzHjcxqZqhO/5tz1yTDwKF/ITHuO6LWfsL4J2ca5ufnF5FeVmZa6CqwtPc2WGZmqP/cVlaaan2wNnoOYsCAAcTHx5OVlUVBQQHbt29n8ODBhuWenp7Y29tz+PBhAKKjo8stP3r0KN7e3jcFtWLHjh1s27YNgKioKHr27ImjY918IhJ/0uvLuPBLEu0795ThvS2Ay91uDBo2mlPH4rl47pTacUQjZLRAuLu7ExERQWhoKKNGjSIoKAgvLy/Cw8NJSkoCYNGiRSxYsIARI0aQn59PaGiooX9ycrLhctYbFi5cyOeff05gYCAbNmxg/vz5tbxZojIpyecoyM+V8ZcsyICHQ7jr7mZs2/Rf9Ho5Oy3ql0lnuoKDgw1XIN2wcuVKw89dunTh66+/rrTvsWPHKszr2LGjnJRWwdmfjqHRaGgnBcJi2NnZMyx4EhtXfUDS4X307OurdiTRiMid1I3IuZ+O4uHZFifnu9SOIqrAy9uXFi3bsfObVZQUy0B+ov5IgWgkCgvy+e3iz7TvIt8eLI2VlRUjRv+Nq9kZxO2RR5OK+iMFopE4dyaJsrJS2neW4TUsUduOPejq1Z99OzaQnZ2ldhzRSEiBaCTOnDqCra0d97bronYUUU3DH3mc0pISPv/vCrWjiEZCCkQj8fPJH2ndvju2tnZqRxHV1FzniY9vINtiv+HUqZNqxxGNgBSIRuBqdgapV5Ll/EMD8NCIR2natBnvv7+Qsjq4WU6Im0mBaATOnbl+qXEHGd7b4jk0cSR8+t/5+eef5Mlzos5JgWgEzp4+gsvdTdG1uFftKKIW+D40jN69vVm5crmcsBZ1SgpEA1dWVsrZn47S9T5vGV6jgdBoNEREzKSwsIDly/+ldhzRgEmBaOBOnz5JYUEeXb36qh1F1KLWrdvw6KOTiI39luPHj6odRzRQUiAauMRD8VhZWdG52/1qRxG1LDQ0DJ3OncWL36W0tFTtOKIBkgLRwCUciqdV2y40cVT3GRqi9jVp0oRnn32Bc+fOsn79GrXjiAZICkQDlpGRzvlzv9CxW2+1o4g68uCDD/Hggw/xn/98zKVLv6odRzQwUiAasIMH4wHo1K2PyklEXdFoNLzwwkzs7R1455035d4IUaukQDRgBw/G0ay5Fvd7WqsdRdShZs2a8+yzL3DixHE2bvxK7TiiAZEC0UCVlpaSkHCQvn195PLWRsDPLwAfn4F8/PFSLl/+Te04ooGQAtFAnThxnLy8PLz7PqB2FFEPNBoNL700CxsbG9599y15+pyoFSYViJiYGEaOHImfnx+rV6+usPz06dOMGTMGf39/Zs+ebbjkbtOmTQwaNIiQkBBCQkJYvHgxACkpKUyaNIkRI0YwY8YM8vLyanGTBMAPP8RhbW1Nr95y/0NjodO58/TTz3PkyGE2b96odhzRABgtEKmpqSxevJg1a9YQFRXFunXrOHv2bLk2kZGRvP7662zbtg1FUVi/fj0AJ06cYNasWURHRxMdHU1ERAQAc+fOZeLEicTGxtKjRw+WLVtWB5vWuO3fv5devXrj5OSkdhRRjwIDH8Hbuz/Ll/+L5ORLascRFs5ogYiLi8PHxwdXV1ccHR3x9/cnNjbWsPzy5csUFhbSq9f1geDGjBljWJ6UlMSmTZsIDg7mpZde4urVq5SUlJCQkIC/v3+F9qJ2JCf/yqVLFxk0aLDaUUQ902g0vPzya9jY2DJ//hy5gU7UiI2xBmlpaWi1WsO0Tqfj+PHjt12u1WpJTU01/BwWFkbv3r15//33mTdvHi+//DLOzs7Y2NhUaG+qZs3UvelLq3VR9fWN2bz5IADBwQHYNrHHxdkBwPB3Vdna2lS7b03XcaOPmhmq0/927WpjOxwd7dG6Od52uVbrwrx5c4mIiGD9+s957rnnTF63ub+3K2OJmcEychstEHq9vtxVMIqilJu+0/KlS5ca5k+ZMoXhw4czc+bMClfVVPUqm8zMXPR6pUp9aotW60J6eo4qr22qbdt20LFjJ+zs7iIvv4ic3EJcnB3IyS2s1vpKSkqr3bcm67g5s1oZqtP/Tvu6NrajoLCYi78V3bFNlx79Ge4fyMcff0z7Tl70uO/Pod7tbW2wqeTYgSW8t29liZmh/nNbWWmq9cHaaIHw8PAgMTHRMJ2eno5Opyu3PD093TCdkZGBTqcjJyeHDRs28MQTTwDXC4e1tTVubm7k5ORQVlaGtbV1hfWJmsnOzuLEieNMnvyk2lFEHSkqKePYz+lG2/UbOonDhw8z/805zJj5Ho5O1z+x9u3qjo290f/6Qhg/BzFgwADi4+PJysqioKCA7du3M3jwn8e2PT09sbe35/DhwwBER0czePBgHB0d+eSTTzh27PrDalatWsXw4cOxtbXF29ubLVu2ABAVFVVufaJm4uL2oygKgwb5qh1FqMzeoQnjJr9A7rVsNq76QC59FVVmtEC4u7sTERFBaGgoo0aNIigoCC8vL8LDw0lKSgJg0aJFLFiwgBEjRpCfn09oaCjW1tYsWbKEN954g4CAAE6ePElkZCQAc+bMYf369YwcOZLExESef/75ut3KRmT//r24u3vQsWMntaMIM+DZuiP+o57g55OJxO2OVjuOsDAmfc8MDg4mODi43LyVK1cafu7SpQtff/11hX7e3t5s2lTxsYienp588cUXVc0qjCgsLCQx8SCBgY/I3dPCoP/gkfx67iQ7Y1bRqk1n+nZ1VzuSsBByJ3UDkpBwkKKiIgYOlEN24k8ajYaQCU/j2syd9Z++R1ZWptqRhIWQAtGA7N//PU5OTvTqJcN7i/IcmjgxPiySwvxc3pr7KsXFxWpHEhZACkQDUVxczL593zNo0GBsbW3VjiPMkIdnW0ZPepZTp5JYsuQfKIo6l4oLyyHXujUQCQkHyc3N4eGHh6sdRZixHr0HoilMY93az+nYsTOjR49VO5IwY/INooH47rsduLjchbd3f7WjCDP3+BPh+PgM5IMP3iMh4aDacYQZkwLRABQVFbJ//14efNBXDi8Jo6ytrXn99Tdp3botr78+i3PnzhrvJBolKRANwA8/xFNQkC+Hl4TJnJ2dWbhwMU2aOPLyyxFkZBi/M1s0PlIgGoDvvtvB3Xe70ru3t9pRhAVxd3dn4cLF5OTk8PLLL5Cbm6t2JGFmpEBYuIKCAuLj9+PrO8QwQq4QpurYsRPz5i3g/PmzPPXUUxQV1WwgQdGwSIGwcHFx+yksLJTDS6La+vd/gNmz3yAxMZE5c16VZ0gIAykQFm7Xrm24ubnRs+f9akcRFmzYMH9ef/114uL28/bbcykrK1M7kjADckzCgmVlZRIff4CxY8djbW2tdhxh4caPH8+VKxl8/PFSbGxsePnl1+R91chJgbBg27fHUlZWRmBgsPHGQpjgsccmU1pawn/+8zGKojBr1v9JkWjEpEBYKEVR+PbbzXTv3oM2bdqpHUc0IE88MQWNRsO//73CUCTkAojGSf7VLdSpUyf49dcLzJz5qtpRRAM0efKTaDQaPvnkIwoKCnj99Text7dXO5aoZ3KS2kJt2RKDg4MDQ4YMUzuKaKBCQ8N49tkX2bdvDzNnPk9entwn0diYVCBiYmIYOXIkfn5+rF69usLy06dPM2bMGPz9/Zk9e7bhMrnDhw8zduxYQkJCmDx5MpcvXwbg0KFD9O/fn5CQEEJCQnjllVdqcZMavoKCAnbt2sFDDw3FyanqDyIXwlRjxz7Ka6/N4/jxozz77AwyMzPUjiTqkdFDTKmpqSxevJiNGzdiZ2fH+PHj6d+/Px06dDC0iYyMZP78+fTq1YtXX32V9evXM3HiRCIjI1m2bJnhiXPz589n+fLlnDhxgrCwMKZNm1anG9cQlOqhqKT8dek7du4gPz+PoX6B5BXd+Zp1vYzoLG6hsdJU+r5RsvLJr2T+QN9hzGnixFtvzmbatL/xxvxFdOrYmZIa3C9hb2uDjRy/MHtGC0RcXBw+Pj64uroC4O/vT2xsLM888wwAly9fprCwkF69egEwZswYPvjgA8aOHctzzz1Hly5dAOjcuTOrVq0CICkpiYyMDL755hs8PT2ZM2cOLVq0qJMNtHRFJaUknE4tN+/rDV/TTNuCfGuPCstu1bOTti7jCQtUVFLGsZ8rjr3k4uxATu5t7qR2acff/j6f1R+/zfN/D+fl2W9i69qh8rYm6NvVHRt7OQVq7ozW8LS0NLTaP3/J6HQ6UlNTb7tcq9WSmpqKnZ0dISEhAOj1ej788EOGDbt+vNzFxYXHH3+cmJgYfH19iYiIqLUNauhSLp3j0vmf6DtohDx3WtSre1q1Z9qL79JMew9vvfEy+3dtkocONXBGS7hery/3i0hRlHLTxpYXFxcza9YsSktLDYeU5s2bZ1g+YcIE3nvvPXJycnBxcTEpdLNm6h5312pNy1kblKx8XJwdDNOH42Oxs3dg8NCRNHF0uEPP62xtbQz9b15PVdy8juqq7jpu9FEzQ3X6366duW+HsfW6OHvy3Oz3+ObLf7E9+nN+/+0cE8IicGjiVKUMjo72aN0cq9Tndurz/2NtsoTcRguEh4cHiYmJhun09HR0Ol255enpf35dzcjIMCzPy8tjxowZuLq6snz5cmxtbdHr9axYsYKpU6eWuwGnKjfjZGbmolfp4LpW60J6ek69vV5+Uanha39uzh/8+MMe+jwwjFK9ze0PB9ykpOR6/zsePjBxHTVRnXXcnFmtDNXpf6d9bc7bUZX3yEuvzMXJ7V52bP6c9+Ze5NGwSNzvaW1yhvz8ItJrYTiP+v7/WFvqO7eVlaZaH6yNHmIaMGAA8fHxZGVlUVBQwPbt2xk8eLBhuaenJ/b29hw+fBiA6Ohow/LIyEhat27NkiVLsLOz+19QK3bs2MG2bdsAiIqKomfPnjg61s6niYbs4N4t6PVl9PcNVDuKaOQ0Gg0DHw5h8tNzKSzIY8WiSA7u3SKHnBoYowXC3d2diIgIQkNDGTVqFEFBQXh5eREeHk5SUhIAixYtYsGCBYwYMYL8/HxCQ0M5deoUu3bt4scff2T06NGEhIQQHh4OwMKFC/n8888JDAxkw4YNzJ8/v263sgEoKizg0L6tdLmvH1r3lmrHEQKAth178NSsxbTt5MW3X69k9cdvkXvtD7VjiVpi0mUEwcHBBAeXH+9n5cqVhp9vXMZ6s27dunHmzJlK19exY0fWrl1b1ayNWmLcdgrycxk0bIzaUYQox9nFlcemzebg3i1sj/6Mf739d0aM/hu9+g2RCyksnFyJbAFKiouI+y6aNh160KpNJ7XjCFGBRqPBxzeQGTPfQ+vRkk2r/8Xny+eRnZmmdjRRA1IgLMCh/bHkXMvm4ZHj1Y4ixB1pPVoR9uxbBI4NJ/nCT3y44Fnidm+mrEweQmSJpECYuYKCfPbt2Ei7zj1p06G72nGEMMrKyor+g0fyzCsf0KZDD2I3/Zel7zzPmZOJchLbwkiBMHMbvlpDft41ho6coHYUIarE1U3LY9NmMzH8VRRFYfWKt/hs2Vx+v3xR7WjCRHKvuxlLS0vl6/Wr6XH/QFq17ax2HCGqTKPR0OW+vnTsdj8J+7exe+talr/7Imd+9CfsiTBatTL93olbleoh7TbjR5lKxoS6MykQZmzFiqXo9QrDHwlVO4oQNWJtbYOPbyA9+/ry/fav2b83lt27tvHww8MJDf1btR56VVRSyk/nM2t006CMCXVnUjvNVGLiIXbsiGXsXyfStJnOeAchLEATR2dGjHqCT7/YwKOPTuLAgb1MnjyBOXNe4eTJJDlHYWakQJihwsJCFi1aQMuWrRg/cbLacYSoda5N3Zgx4++sWxfNY49N5tChH5gx40mmTXuC2NhvKSoqUjuiQAqEWfroo3+RknKZyMhXsbOTxzyKhsvV1ZXw8KfYsOEbIiJmUlBQyNtvz2XcuEf46KMPuXjxgtoRGzU5+GZmDhzYx8aNX/HXv07g/vv7GH0gkBANgaOjE6NHj2XUqL9w+HACGzasZ9261axZ8zldunTF3z+QoUP9DM+lEfVDCoQZSUm5zIIFc+nYsRNTpz6tdhwh6p1Go8Hbux/e3v3IzMxg167tbNu2hX/+cxEffriYPn368uCDDzFo0GAcnKVY1DUpEGYiLy+XV155EUWBuXMXGEa/FaKxatasOX/960T++teJnDv3C9u3x7J37x7ee+8d3n9/IV279qBd977c264H7ve0kXGf6oAUCDNQVFTIq69GcunSryxa9AEtW7ZSO5IQZqV9+47MmNGR6dOf4cKF8+zbt4fde77jm6/+A1wfMLB9556079KLth17cHfT5ionbhikQKisoKCA116bydGjP/Laa3Pp06ev2pGEMFsajYZ27drTrl17xo6fzA/Hz3H8x0Oc++kYZ386wrHE7wG4y7UZ97btQqu2nbm3bRc8WrbF2lp+3VWV7DEVZWVlMmvWi/z880/MnDmb4cNHqB1JCIvi2rQ59/d/mPv7P4xeryc15VcunT/NpQs/kXzhJ04cOQCAra0dHp5t8fBsg4dnG9w921TpCXiNlRQIlfz4YyJvvvk6OTk5vPnmQh580FftSELUG42VpsZX6N361GErKytatGxLi5Zt6T94JADX/sgk+cIZLl34iZTkcyT9uI+EA9efZqnRaGjRwpP27dvTsuW9tGp1Ly1btqJVq3txc2sm5zSQAlHv/vgjm48/XsY330Rz772t+cc/ltChgzzjQTQuRSVlHPs53XjDO+jZSWu0zV2uzeh+/wC63z8AAEVRuJqdzu+XL/J7yq8UX7tCcvJFfvghjpKSEkM/R0cnPD090ek80Onc0el0uLvf+Nmd5s212Ng0/F+fJm1hTEwMy5cvp7S0lMmTJzNp0qRyy0+fPs3s2bPJy8vD29ubuXPnYmNjQ0pKCpGRkWRmZtK2bVsWLVqEk5MT165d46WXXiI5ORk3NzeWLFmCVmv8H9uSJSdfYvPmTWzevJHi4mLGj3+MJ56YIs/iFqIeaTQaXN10uLrp6HJfP/p2dcfJ3oaysjJSU3/nt9+SSU6+xG+/XeLy5ctcuZLCsWNHyM3NKbceKysrXF1dcXV1w83NDVfXpjRt2pSmTa//7OralLvuugtnZxecnZ1xdnahSZMmFvetxGiBSE1NZfHixWzcuBE7OzvGjx9P//796dChg6FNZGQk8+fPp1evXrz66qusX7+eiRMnMnfuXCZOnEhgYCBLly5l2bJlREZGsmTJEry9vfn444+JiorirbfeYsmSJXW6ofVJURSuXbvK2bO/cPz4UX74IY7Tp09iZWXF0KF+hIaG0bp1G7VjCiH+x9ramnvu8eSeezzp18+nwvL8/DzS0lJJTU3939+/k5WVSXZ2Nn/8kUVKymWys7MpKMi/42vcKBaurnfj4OBIkyZNcHBwwMGhCQ4OTWjSpPzP9vYO//u5Cfb29nTu3LVeL4E3WiDi4uLw8fEx3MHo7+9PbGwszzzzDACXL1+msLCQXr16ATBmzBg++OADxo0bR0JCAkuXLjXMf+yxx4iMjGTPnj2sXr0agKCgIObNm0dJSQm2trYmhbayqnoVLisrY//+vVy9+sf/BgRTuD4umIKi3Phzve2f0zcOcv453aSJHfn5RSgK6PV6QKG4uJiCgjxyc/PJzs4kNfV38vLygOufWDp06ERQUDCDBw+haVO3KuW2sbbC0cG0/XKn/k3sbSgrrd56apqhuuu4ObNaGarT/0772py3oyrvkfral8bWUZP39Y11mPL75PovdmfatWt/x3ZFRUVcu3aVq1evUlCQT15eHvn5ueTm5pOfn0te3vW/S0qKyM6+SmFhAVlZWRQVFf7vTxFlZWW3Xf+oUWOZOPHxKm9ndX5nggkFIi0trdzhH51Ox/Hjx2+7XKvVkpqaSnZ2Ns7OzobjdDfm39rHxsYGZ2dnsrKycHd3Nyl006ZOJrW71ZgxwdXqp7aWLe6uUf92LZvWOIM5rEMy1N46JENdceaee5qpHaLWGB2sT6/XlztupihKuenbLb+1HXDb42+KomBlJeMGCiGEOTH6W9nDw4P09D+vNkhPT0en0912eUZGBjqdDjc3N3Jycgxfl27up9PpyMjIAKC0tJS8vDwZhEsIIcyM0QIxYMAA4uPjycrKoqCggO3btzN48GDDck9PT+zt7Tl8+DAA0dHRDB48GFtbW7y9vdmyZQsAUVFRhn6+vr5ERUUBsGXLFry9vU0+/yCEEKJ+aBQTHuEUExPDihUrKCkpYezYsYSHhxMeHs6zzz7Lfffdx08//cRrr71Gbm4u3bt3Z8GC64PNXb58mVmzZpGZmUmLFi14//33ufvuu/njjz+YNWsWycnJuLi4sGjRIlq2bFkf2yuEEMJEJhUIIYQQjY+cGRZCCFEpKRBCCCEqJQVCCCFEpaRACCGEqJQUiNuIiYlh5MiR+Pn5GYYFudnp06cZM2YM/v7+zJ49m9LSmg1dXBs+/PBDAgMDCQwM5N133610+ZAhQwgJCSEkJKTS7VLD448/TmBgoCHXsWPHyi2Pi4sjODgYPz8/Fi9erFLK8r766itD3pCQEPr06cO8efPKtTGn/Z2bm0tQUBC//fYbYNo+TUlJYdKkSYwYMYIZM2YYho+pT7fmXrduHUFBQQQHB/PKK69QXFxcoc+mTZsYNGiQYb+r8Z65Nfcrr7yCn5+fIdOOHTsq9DHH3ykoooLff/9dGTJkiJKdna3k5eUpwcHByi+//FKuTWBgoHLkyBFFURTllVdeUVavXq1GVIMDBw4ojz76qFJUVKQUFxcroaGhyvbt28u1mTZtmvLjjz+qlLByer1eGTRokFJSUlLp8oKCAsXX11e5dOmSUlJSooSFhSl79uyp55R39vPPPyvDhw9XMjMzy803l/199OhRJSgoSOnevbuSnJxs8j6dOnWq8s033yiKoigffvih8u6776qa+/z588rw4cOVnJwcRa/XKzNnzlT++9//Vug3b948JSYmpl6z3uzW3IqiKEFBQUpqauod+5nb7xRFURT5BlGJmwcodHR0NAxQeENlAxTevFwNWq2WWbNmYWdnh62tLe3btyclJaVcmxMnTrBixQqCg4OZN28eRUVFKqX90/nz5wEICwvjkUceYdWqVeWWHz9+nNatW9OqVStsbGwIDg5WfV/f6o033iAiIgI3t/IDMZrL/l6/fj1z5swxjGRgyj4tKSkhISEBf39/QJ33+K257ezsmDNnDs7Ozmg0Gjp16lThPQ6QlJTEpk2bCA4O5qWXXuLq1auq5i4oKCAlJYVXX32V4OBgPvjgg/8N9Pknc/ydAnKIqVKVDVB4Y6DBypbfPBChWjp27Gh4c128eJGtW7fi6/vnU+ry8vLo2rUrkZGRbNq0iWvXrrFs2TK14hpcu3aNBx54gKVLl/Lpp5+ydu1aDhw4YFhu7N9CbXFxcRQWFhIQEFBuvjnt77feegtvb2/DtCn79E6DbdaXW3N7enoycOBAALKysli9ejVDhw6t0E+r1fLUU0+xefNmWrRoUeHQX127NXdGRgY+Pj68/fbbrF+/nsTERL7++utyfczxdwpIgahUdQcoNAe//PILYWFhzJw5kzZt2hjmOzk5sXLlStq3b4+NjQ1hYWF8//336gX9n/vvv593330XFxcX3NzcGDt2bLlc5ryvAdauXcvf/va3CvPNdX+Dafu0snnmst9TU1OZPHkyf/nLX+jfv3+F5UuXLqVPnz5oNBqmTJnCvn37VEj5p1atWrF06VJ0Oh1NmjTh8ccfr/BeMNf3uRSISlR3gEK1HT58mCeeeIIXX3yR0aNHl1uWkpJS7lOLoihm8cjExMRE4uPjDdO35jL2b6Gm4uJiEhISePjhhyssM9f9Dabt0zsNtqmmc+fOMX78eEaPHs3TTz9dYXlOTg6ffvqpYVpRFKytresxYUVnzpxh27ZthunK3gvm+jtFCkQlqjtAoZquXLnC008/zaJFiwgMDKyw3MHBgX/84x8kJyejKAqrV69m+PDhKiQtLycnh3fffZeioiJyc3PZtGlTuVw9e/bkwoUL/Prrr5SVlfHNN9+ovq9vOHPmDG3atKn0sbHmur/BtH16p8E21ZKbm8uTTz7Jc889R1hYWKVtHB0d+eSTTwxXwq1atUr1/a4oCm+//TZXr16lpKSEdevWVchkjr9TALmK6XY2b96sBAYGKn5+fsrHH3+sKIqiTJkyRTl+/LiiKIpy+vRp5S9/+Yvi7++vvPDCC0pRUZGacZU333xT6dWrl/LII48Y/qxZs6Zc5tjYWMM2zZo1S/XMNyxevFgZMWKE4ufnp3z66aeKoijKI488ovz++++KoihKXFycEhwcrPj5+SlvvfWWotfr1Yxr8O233yrPP/98uXnmvL+HDBliuKrmdvv01VdfVXbu3KkoiqL89ttvymOPPaYEBAQoYWFhyh9//KFq7v/+979K9+7dy73HlyxZUiF3QkKCMmrUKGXEiBHK9OnTlWvXrqmaW1EUZdWqVUpAQIAyfPhw5R//+IehjTn/TlEURZHB+oQQQlRKDjEJIYSolBQIIYQQlZICIYQQolJSIIQQQlRKCoQQQohKSYEQQghRKSkQQgghKiUFQgghRKX+H/FcHe1GSui7AAAAAElFTkSuQmCC\n", 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" ] @@ -454,7 +408,6 @@ } ], "source": [ - "x = np.random.gamma(6, size=200)\n", "sns.distplot(x, kde=False, fit=stats.gamma)" ] }, @@ -513,28 +466,28 @@ " \n", " \n", " 0\n", - " -1.107602\n", - " 1.969576\n", + " 2.190873\n", + " 2.902961\n", " \n", " \n", " 1\n", - " -0.152153\n", - " 0.863231\n", + " 0.387901\n", + " 3.441322\n", " \n", " \n", " 2\n", - " 0.672152\n", - " -0.337424\n", + " -1.304909\n", + " 0.586173\n", " \n", " \n", " 3\n", - " -0.054459\n", - " 1.291490\n", + " -0.016867\n", + " 0.907323\n", " \n", " \n", " 4\n", - " -0.854301\n", - " 0.461832\n", + " 0.284953\n", + " 1.189304\n", " \n", " \n", "\n", @@ -542,11 +495,11 @@ ], "text/plain": [ " x y\n", - "0 -1.107602 1.969576\n", - "1 -0.152153 0.863231\n", - "2 0.672152 -0.337424\n", - "3 -0.054459 1.291490\n", - "4 -0.854301 0.461832" + "0 2.190873 2.902961\n", + "1 0.387901 3.441322\n", + "2 -1.304909 0.586173\n", + "3 -0.016867 0.907323\n", + "4 0.284953 1.189304" ] }, "execution_count": 16, @@ -577,7 +530,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 17, @@ -586,7 +539,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "(array([ 1.99235596, -0.61418642, -2.14398466, 0.48387848, 0.92942069]),\n", + " array([2.57459216, 1.04544643, 1.23221587, 0.74845389, 1.56673578]))" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x, y = np.random.multivariate_normal(mean, cov, 1000).T\n", + "x[:5], y[:5]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" ] @@ -625,7 +600,6 @@ } ], "source": [ - "x, y = np.random.multivariate_normal(mean, cov, 1000).T\n", "with sns.axes_style(\"white\"):\n", " sns.jointplot(x=x, y=y, kind=\"hex\", color=\"k\")" ] @@ -641,22 +615,22 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 19, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -678,22 +652,22 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 20, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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3EhYWxqxZs/J0fnR0UqFPZTU311fZeeuqGnthxh0WFsbCJYt49OgRjT0bM3niJMzMim6Ou/jO8yY84glHj5/k/MWLvHsXDYC2tjYG+nro6OgQF59AbGzsv8cbGxnhVr8ujdwb4OXpgaamZqHFnpKSwuChQ5Ar5Gz6cyNaWlr5/2BKKA2/K2pqEkxNlR9vKfYB6RcvXrBq1Sq2b3/fxDtz5gw9evQo7jCEMkAmk7Fz107WrvsDPT095s+dRzPvZmJKagmTymRs27GLjVu2oaYmwd3NjWFDB+PRsCG6uh+OL6anp/P6zVsePHzI1Ws3uHr9BqfOnMPAwIBO7dvSpWMHLCwKPhVVR0cH30mTGTN+LH9u3MDwb4YV+JplXbEnB29vb+7cuUPXrl1RV1fHx8eHDkoUzBL7OQgAkVFRLFq8iNt3buPd1JtJEydibGRc0mF98l6+fMWCpcu5dz+Els29GTNyOIYGBjker6mpiZ2tDXa2Nvi0aolcLuf2nWD2HTjE9l172L5rD+3b+DDNdxQFHSKtV68e7du1Z8fOHbRt0wZHB8cCXa+sK9Exh/wYsuBkoZfPKA1Nv/xS1djzG7dMJmOv3z5+X/s76urqjBszjrZt2hRra+FT+87zKjQsjIm+05HJ5YwfPYJWLZoX6HovX71mzz4//A4extjIkDEjh+PdxKtA14yNi6VPv77UqV2HJYsWF+haeVEaflfy260kRusElfHkyRNGjh7FqtWrqFunDps2bKRd27aiG6kUeBEZhe+0b9HS0uK3n34scGIAsLayZPSIYfy+ZhUWFmbMnr+IuQuXkJr68eq3OTE2MubzXp/hH+BPaGhogWMsy0RyEEo9mUzGtu3bGPzVEJ49f8bM6TNYtmQZlhZiCnRpEB0dw+RpM5HJ5SxfvACbioW7XWklZye2b/qdIQMHcOGiP+N9pxIbG5fv6/Xs0RNdXV02bNpYiFGWPSpXW0kU3vu0hISE8P3KHwh5EELTJk2ZOH4CpqamxRpDSmoq0dHRJCQmkZiYiERNRkx0ApmZUqQyGSgUqKuro6amhoaGOpqammhpaqGppYmurg76evro6+mhp6db5qbWpqSk4DtjFrFxcaxcvgR7O9siuU+5chr079sbRwd75i9exugJk1j1/XJMjJUfZ9LX16dXj55s2LSRp0+fYm9vXwQRqz6VG3MQU1k/pKqxfyzuxMREfv9jLfsP7MfE2JjRo0bTskXLIu1CSk9P53FYOA8ePuJhaCjPX0Ty8uUr4uLjC+X6ampqGBkZYmxkjKmJMZaWFlhZWmJtZYmtzftB2f9O3yxshf27IpfL+XbuAi5fucqSBXNxdyu6iR7/jT343j0mT51JhQrW/LhiKfr6+kpfLyYmhm49u/NZr16MHD6ysMP9V2n4+1SZqawFJfZzKNsUCgWnz5xh9ZrVxMXF0aN7D4YOHlIkdXEUCgXPnj/n8pVrBF69RvDde8hkMuD9Xs329nZ4eXpgbW2FuZkZhgb66OvrY2dnSVJSBhoaGmioa4Dk/YNSJpMhzZSSnpFBWnoaaWnpf28PmkxiUiLx8QnExsYRExvLu+hoHoaGEh+f8G88EokEa2srnB0dca3iQtUqLrhWcSm15WXWb9xMwOVAxowYVqSJ4X/VrF6dBXNnMXXmbJas+IEFc75V+qXBxMQETw9Pjp84wTdffSN2j8uGyn0jolup7AoPD2fVT6u5fuM6rlVcWb50GVVcqhT6fV5ERnH23HlOn7vAs+fPAXBydOCzHt2oVtUV1youmOeyiK4w3wZTUlJ49fo1z56/4MnTZzx5+pTHYeFcDLgEvE8YlZ2dqVmjGtWqVqVWzeq5xlZcTp89x5btO+nYri3dunQq9vu71avLN0MHs+bX3/E7eJju+YihY4cOXPS/yKXLl2japGkRRKnaVC45CGVPbFws69at4+DhQ+jo6DB+7Di6dulaqOW009LSOHPuAoeOHuPBw0cA1KxRnXFdRuDRyB3LEtrcR0dHBydHR5wcP5xzn5CQSMjDh9wPecDt4LscOXaCvfsPAmBrY0O9OrWpV7c29evVRU9Xt1hjvn0nmKXf/UDtWjUZO2p4ic0W69mtC1evXWfdhk20aNYUI0NDpc5v6N4QIyMjzpw9K5JDNlQuOYhupbJDKpXit38/f6z/g7S0NLp37caggYMwVPKPPDevXr9m34FDHDtxksTEJBzs7Rn+9VCaN21SKCtvi4qBgT4NG7jR8O86QFKZjLCwcG7dCSbo1m1OnD7DgcNHUFdXp2aN6jRyb4Bno4bY2RZt1dk7wXeZPnse1lbWLJg9k3LlyhXp/XIjkUgY8c1XDBk2kk1btjNmpHKrnjU0NGjS2IvTZ8+Qnp5epOM9qkgMSFM6Bo3yS1Vjf/4ijFmzFxL6OJQGbg0YO3oMDg4OhXb98Ign7Nyzj9NnzwHQ1MuTrp06UqtmjQK/6ZaG71wqlXLvfgiB164TeOUqEU+eAmBrU5HGHo1o6N6AGtWqfvDwLmjcFy76s2DJcqwsLVmxZEGxtrZyi/37VT9x+OhxNqz9VenkGHjlCpN8J7F08RIaezYujFA/UBp+V/I7IC2SA6XjHzC/VC322NhYfvp5DSdOnsDc3Jwxo0YXWj0khULB7eC7bN2+k2s3bqKpqUnH9m35vGcPLMwLr5++NH7nr16/5vKVq1y6fIWg23eQSqVoaWpSu1ZN3OrVpU6dWjRyr0V0dLLS105JTWX9hs3s8dtPVdcqLJ4/R+kunILK7TuPjY2j94BB+LRqwcSxo5W6bmZmJh06d6R1q9ZMnjipMEL9QGn4XRGzlfJIdCuVDLlczqHDh/nlt19IS0tj2NdD6N7ts0KZiaNQKLh6/Qabt+3g7r37GBsZMXTQl3Tq0C7Xuj5liZWlJd06d6Jb504kJ6cQdPs2128GceNmEGt+uw6876qqWb061atVxaWSM5UqOef4kFcoFDwMDeXwkeOcOX+B1NRUunfpzLCvhlC+fMl1JWXH2NgIL89GXLgYwNhRI9BQYqyqXLly1Kldm5tBN4swQtWkcslBzFZSPc+eP2Px0iUEBwdTt05dJk2YiJtbjQK/USkUCq7fCGL9ps2EPHiIhbk5Y0YOp0Nbn0+6/1hXVwcvTw+8PD0AePPmLbfuBPPwUQiBV4MIuBz477EmJsaYGBtjbGSEgYE+SUnJRMfEEB0dQ2xcHJqamrRo1pRO7dtRraprSX2kj/Ju4sWZcxe4cyeYenXrKHVuvbr1uHT5Mm/evMGihCYmlEYqlxwE1SGXy/Hb78fPv/5C+fLlmTFtOm3bFLwWkkKhIPDqNTZt3f5vUpg0bgxtWrcs0QHS0srCwhyfVi3o16cLb98mkpCQyOOwMB49DuPZ8+fExcUTGxtLZFQUerp6mJmZUsWlMi6VK9GyebNinw2VH+5u9dHU1ORS4NV8JQeAW7dv4dPapyjCU0kiOQhF4t27d8xftIAbN27QqGEjpvpOKfAGPAqFgivXrrNh81YePHyElaUl48eMpJ2PT5F2dSgUChL/fqN+Fx1DpjSNF5FvSUpOJjEpidTUNNLTM0jPSCczU4pcLkehUKD4u6yGhro6GuU00NTURFdHBz1dHfT19DAxNsLUxAQzUxOsLS3Q1CxfZJ/hvwwM9KlXt47SD9HSTEtLCydHB8LCw5U+18nJCS0tLe6HhIjk8B8qlxzEfg6l382bN5k9bw5paWn4TppMp46dCtxauBl0iz82bOJ+yAOsLC2ZPH4sbVq3LPSVrUnJKTx6HMbD0DCePn/B88gonkdGkZyckuVYNTUJurq66GprU16zPFqampTTKIeamhoSyfuplplSKalpaUgzpaRlpJOcnEJScgqZmZkfXEsikWBlYY6dbUUc7GypVsWFaq4umBgbFernK8scHewJuByIQqFQ6vdNQ0MDl8ouPHjwoAijUz0qlxzEmEPppVAo2LFrJ7/8+gu2NrasXrmqwNNTHzx8xNr1G7gRdAtzMzMmjBlFuzatC637KDomllvB97gVfJfgew94Hhn178/MzUyxrViBlt5eVLCywtzMBDMTEypXtiUzQ4KOtla+C+mlp2f82xJ5Gx1DZNRLnr2I5NmLSG7eCman9P2CN0sLc+rUrI5bnVrUq1MLI8NPY4A9P5wcHTh6/CSxcXFKF+SrWrUqfvv9kEqlopTG38S3IBQKqVTKiu9XcPjIEZp5ezN96vQCzUSKevmS39f9yfm//DE0NGDkN1/RuVMHNMsXrOtFoVAQ8fQ5/pevcPHyVcL/Xh+gq6tDzWqutG7elCqVnXGp5IyBfvbT/wpjeqKmZnkqWFtRwdoqy88yMjIIDX9CyMNH3A15yKUr1zhx5jwAVV0q07yJJ95eHpiZmhQohrLmn50AExMTlU4OlStVIiMjg+cvnosd4v4mkoNQYOnp6cyeOwf/AH++HPAlQwYNzvcbdWJSElu27WTfgQOoq6nz5Rd9+bxn9wJPeX0bHcPJM+c5ee4CLyJfIpFIqFHVla++7Ee92jVxdnRAXb10lNMuX7481V1dqO7qQs8uHZHJ5ISGhXPt5i38L1/l53Ub+WX9JmrXqEbHtq3xauROuXLiT7n8363JzEyp0uc6/l2+JCLiiUgOfxO/UUKBJCcn4zt1CneC7zBh3AS6d+uWr+soFApOnDrDL2v/ICEhkbY+rRgycABmBdi7QS6Xc+VGEIeOneTazVvI5Qpq16hGzy4dadywgcr056urq+HqUglXl0r0792TZy8iOX/xEifPXmDB8pWYGBvRoU0rurRvg7FR8S5OK000/k6Q/zuekxcO9g5IJBIinkQABd/FriwQyUHIt9TUVCZNmcz9+/eZM2s2LVu0zNd1ol6+5LuVq7kRdIvq1aoybvEIKldyzndcKSmpHD9zjv2HjxP58hWmJsb07tGVti2bU7FC1m4cVWNnU5EBfXrxxec9uBZ0mwNHTrBl51527TtIp3Y+fN69s8okvsKUnp4O/H+SUIampiYVKlTg6dOnhR2WylK55CBWSJcOUqmUb2fP4t69e8ydPYfmzZR/21IoFBw6coyff1uLmroa40ePpFOHdvnukkpITGLfoaPsO3SU5OQUqrm6MOiL3jTxcC+Tg4xqamo0rF+XhvXr8vxFFFt372PfoaMcPHaCTu18+OKzHjmOm5RFkVEvAahobZ2v821tbHnx4nlhhqTSyt5fjFDk5HI5i5YsIvBKIFMm++YrMcTFxTNzzgICLgdSv24dpkwcn+8qqQmJSezef4j9h4+TkpqKVyN3+vTsiqtLpXxdLzcpqWk8ehxNaFgkMbHxRMfGkZCQRFJKCknJqaSmpiGVSsmUSpFKZaipSVBTU0NdXR3N8uXebxuqq4O+ni7mZiaYm5lgaW5GRWsLtAqwqtvWpgJTx4+i/+c92bZ7H36HjnLy7AUG9vmMTu1aF2r589Iq6uVLjAwN8z0+ZWtry+07t5WeCltWqVxyEFNZS96mzZs4eeoUXw/9ik4dld9kJTziCd/Onc/rN28Z8fVQenbvmq/WQmamlIPHTrJ5x26SklPw9vKgX6/uODnYKX2t/5WRmcmTZ5E8Dn9KaPhTnj6PIurVG2L/s3PbP3R1tNHT1UFHRxsdLS3KlS+Hjo4W6uoaoFAgk8uQyeSkpacTG/WKpKQUEpKSPhg4VZNIsKlghbOjHS6VHKhXqxr2NhWUfkhVrGDF5LEj6N65A7+u38Tq39dz8uwFpowfibl51QJ/L6VZWHgENjYV832+jY0NqampxMTEFPs+5aWRyiUH0a1Usq5cvcK6P9fTxqcN/b/or/T5d4LvMm3WXHS0tVj13bJ81+sJvHaTn9dtJDLqJfVq12TY4AE4O+Z/o3i5XE5o+FOCgkMIunOfew8f//vw1tPVwdHOhob1a1HB2hLXynaU09DC1MQIYyODf2fJKEOhUBCfkMirN+94/TaaJ88iCX/ynOCQR5zzvwKAmYkx9WtXx7txA+rUqKrUbCpnR3uWzZvJXwGB/PjrHwwfP5UpE4bR1KNxmXwrfv3mDQ8ePuKrQV/m+xoW5u9brm/fvRPJARVMDqLlUHJevX7NvAXzcXJ0ZPLESUo/ZC4GXGLeoqVYWVqy/rcfKFdO+Zo9r9++Y83aPwmKFa09AAAgAElEQVQIvIadTUUWzZqKe/26+XrgKRQKHj6O4ELANf66fJ13MbEAONrb0MmnOdWqOFPJyR4rC7MPrl8Y6xwkEglGhgYYGRrgWtkJb88G//mM0dy8c48bt+7hf+UGJ875Y2ZiTEtvD9q28KKCVd6Kw0kkEry9PKhRzZUlP/zEvCWraOp5lQmjvka/CPbkLkl/+b/fVrVpk/zvyWBm+r68y7t376BK4W9Pq2pULjmIlkPJkMlkzJ0/l8zMTBbMX4CWlpZS55//6yLzFi2liktlFs+fQ4UKVko/YI+fOc/q39ahkCsYOqAvPbt0zNf8/tTUNE5duMSBY2d5EfUKDXV13OrUYHC/7tSvXb3EVyFbmpvSrmVT2rVsSkZGJoE3bnPqXAC79x9j9/5jNG/SiH49O1LR2jJP1zM1MWbp3BkcOXWS1b9u5HF4BCsWzMKyFO+EpwypTMbxk6dwdnLE1ib/O+H9U/vrXfS7wgpNpalccigo/+CXIjnkw/4D+wkODmbm9BnY2tgqde69+yEsXLqcalVdWb5oAdrayiWWjIwMVv22nmOnzlK7ZnV8xwzHylL50spx8QnsOnCc42cukpySiouzAxOGD6Rxw3ro6RZ8X4miUL58OZp6uNHUw4130bH4HTnNoRPnOOd/hdbengzu1wMjQ/2PXkdNTY3BX/TCyc6R6fOWMG7abL5bMCvbFdqqZvvO3YSFRzBn5rQCXUdf//33mJSUVBhhqbxPLjl41czfNLdP2avXr/n1999wd3enjU8bpc+dOWc+FuYWLJw7S+nE8Or1G+Yu/Z5Hj8Pp91l3vuzzmdIrmVNS09h3+CR7Dp4gPSOTph5udGnXkqouTirV/25masxXA3rRo5MPO/cf4/CJc1y+fotvvvyclk0b5emzVK9aheULvsV31gLGT5/DivmzsLWpUAzRF43HYeFs3LKN5t5Nada0SYGupampiZqaGikpWYssfoo+ueTw4FlsSYegUhQKBd99vwIA34mTlXqYpqenM2P2PDIyM1k5b7bSu7LdC3nIjAVLkctkzJ/hi2dDN6VjP33hEms37yE+IZEmjerzZe9u2FYs+NtySmoar95E8+pNNLHxiSQmJZOQlExKajpSqRSZTI5MLqechgaamuXQLFcOPV0dTE0MMTU2xNzUiIrWFpTLx/oLE2NDhg/qTbtWTVj56yaW/7SOsxcDmTRyMCbGH18h7eLsxPcL5zD523lMmDGH1csW5KslVtJSU9NYvPx79PX0GDtqeIGvJ5FI0NbWJjU1/93WZYnKJQcxIF28Ll2+xOXAQEaNGImVlXIP1Q1bthEWHsHSBXOxt1OuKyos4gnT5i3GyNCQRbOmYlNBuRZffEIiP/6+mYArN6lepRLzpo7GtXL+uhPjE5O4/yiCx+HPeRT+nCfPI4mJyzpeoq2liY62Fhoa7/dwUFNTQyqVkZ6RQVp6BimpaR8cr66uhl1FKxztKlC9ihP1a7libpr3gnEOthX5fv4UDp88zx9b9jBuxiLmTxuLve3HWwJODnZ8t3AOY3xnsPC7VaxcPFel1kIkJ6cwa94CIp48YeHcWYW2p7W6ujoymaxQrqXqVC45iP0cik9mZiarf/oJezt7evboqdS5oY/D2Ll7L+3b+tDQvcHHT/iPqJevmDJ7ITra2iyf/y2W5sptEnQt6C7f//wnCYlJDP2iJ907+ijdFRX+NJKrQfe4dus+D8OeoVAoUFNTw97GisbutTAxMsLa0gwrcxNMjQ3R19P96OB4plRKbFwi0bHxvHkXw5NnLwl/FklQ8EPO+r/f59nexoqGdWvQ2tudClYfHzBWU1Ojc9sWVK3sxKwlq5nw7RJmTx5Jreofn23jYGfD+JHfsGD5SjZt382gL3rn7cspYQ8ePmLe4qW8evUa3wnj8GjoXmjXzsjIoHwBK/+WFSqXHArK1U65Ur6fst179/Ai8gUrlq1QqvyETCZjxcpVGBoaMvyrIUrdMzomFt9ZC5DJ5Hy3cIZSiUGhULB1z2E27zqAg21FFswYh7ND3lssKSlpnPG/xskLVwh/GolEIqGyky19u/lQp0YVnB0qolm+fL6nspbT0MDCzBgLM2OqVnbA2+P/434e9Zrrt0O4fjuEPUfOsuvQaWpXr0yHlo3xcKv50UWClZ0dWLloOjMXrmTa/O+ZNGowzb0afjSm5k08uX7zFlt3+1GnVg3q1qqh9OcqLjKZjN379rN2/QZMTUxYuWIptWpUL9R7ZGZmiq1m//bJJQcx5pA3ycnJbNq8iUYNG9Go4ccfMv914aI/Dx+FMmPK5H9ngOSFQqFg+apfiI2L57tFs7G3zfu0RIVCwS9/bufAsbO08vZgzFf987ztZkpKGnuPnOXAib9ITUvH2cGG4V/2oLF7bYzzMBOooCQSCXYVrbCraEX39s2Jjo3n1IUrHD8XyKJVG3B2sOGb/t2oXiX3bjFLc1O+XzCVecvXsGz1Ogz09ahf++MPz1FfDyb4/gNW/baOP1Z9V2pKl/8jNTWNbTtPsWHTTiKjomjS2JPJ48diYFC4/zapqanIZDJ0tLUL9bqqSuWSgxhzKB77/PaRlJTE0CFDlTpPoVCwbedubG1saNncW6lz/woI5NrNW4wYOhDXynmvi6RQKFizbhuHTpyje8fWfD3gszwNnEulMo6fu8w2vxPEJyTRpGEdenRoTmWngpffKAhTY0N6d/WhV+dW/HU5iA07D+M7fzVNG9VlcJ9OuY5L6OvpMnfqGCZ8u4QF3/3KyoXTPjoGoa2txZABfZm39HvO/uVP6+ZNC/sjKU0ul3M/5AF/+Qdw7OQpEhOTqOpahWFDZ+LV2KNIZpm9fPm+cJ91Pgv3lTUqlxwKOuagriZhra+o156b1NRUdu7aSaOGjXBVcqXotRs3eRwWzpSJ45Sql5ScksKaPzZQycmRrh2Umy67bsseDp04R89ObRjav2eeHhyhEc/54bdtPH3xippVKzFkUqcSTwr/S11NjeaN6+NRvwZ7j5xjz+Gz3LjzgHFf9cazQa0cz9PR1mLelNGMmbaQ2UtX8+Oi6Rh+5C27iYc7Tg72bNm1lxZNvUqk9RAbG8ft4GCu3wgiIPAKsbGxaGho4NmoId8M/YKKFfJfHiUvIqMiAahYIf/1mcqSEkkOP/30E8eOHQPA29sbX1/fYrt3B4+i/QUrC/z2+xEXH8+XAwYofe7uvX6YmZnSqoVyCXj3/sPExMYxb/pkpWbNnDofwO6DJ+jUpnmeEoNCoeDwKX/Wbt2PkYE+syYMwb1u9Xy9iWZmSnkW9YY30XHExScRm5BIUnIacoUc/m7c6mhrYqivi4G+LuYmhthXtERfT7kFd1pamvTr0ZYWXm4sW7OZhT/+yWedWtG/V87lzS3MTZkzZRSTZi9jyY9rWThjXK73UFNTY0DvnsxZ8h3+gVfxbtxIqRjzQyaTEfLgIZevXOXKtes8DgsHQEdHm4YN3PDy9KChewP0dHULpWTJxzx79gyAChVUd91HYSr25HDp0iX8/f3x8/NDIpEwdOhQTp06RevWrYvl/mLMIXfp6ens3LUTt/pu1KxRU6lzY2JjuRF0i76f91JqUE8mk3H05Bnc69dVqsz267fR/Lx+OzWrujB8UJ+PPuAzM6WsXreTM/7Xca9bnQnD+qKvxMropJRUbt4NJeTxU+49fMqLV2+RyeT//lwikaCj/X4hlZpEgkKhIDk17YNjAEyNDXC0taJOtUq41XTB2jJvRd6sLc1YNms0v23ax65Dp3n+8jW+I/pTvnz237VrZSeGDezN6rVbOHHOnwG9O+R6fc+GDTAzNeHk2fNFmhweh4Wzb/9BAgIDiY9PQE1NjZrVqzF00JfUr1uHypUroVEC02qDbt3C3s4ew0KaFqvqij05mJubM3Xq1H+nizk7OxMVFZXn88WYQ9E6cfIE0TExzPp2ltLnXrjoj1wup0Uz5cYaAq/dJDomlnHDv8rzOXK5nBVr1qNQKJg0avBHu0HS0jNY9OOf3LjzgH7d29C7q0+eur3SMzK5ePUOF67c4d6jJ8hkcgz1dalkX4EGtavgZGeNtYUJRgb6GOrrZGn1/JMgEhJTePU2hicvXvP0xSseRbzg+p1H/LHjKBUsTfFqUJO23g0wNc59oWA5DQ1GDuqFTQVL1m7Zz6JVG5gxdlCO02g7tPbmQsBV/ti8hw4+jYGcH7rq6mq09PZiz4EjxMUnFGqNKYVCwa3bd9i2aw/Xrt9AW1sbL89GeDR0p4Fb/RIvBJienk7QrSA6ts89gX5KJAqFosSetE+ePKFPnz5s374dBweHPJ0zZMHJAo059PGpQt82+SsTXdbJZDLadeiKgaEBu3dsUbqrZcDgUcQnJHBgzyalzhs1aTYPHoZx3G8jGhp5e2Pcse84y1b9ySzfYXRtn3sXVnpGJuNmrORm8COmjxtAl7YfL7OQkJjM7iMX2XP4IvGJydhVtKBpw5o0ca9BNRf7QumTj3z1jsAbIVy8epdrtx+hJpHQzKMWX/RoSRXnj0/B3XfkAktWbaZ543osmjEsx5ginkbSe6gvrZt5sGDGqFyvGRr2hB5fDGfahOH06dU5X5/rf8lkMmbOXszBIycwNTHmi749+bxXt4+OgxSnc+f/YtiIMfzx+8808fIs6XBKhRIbkA4NDeWbb77B19c3z4kBCqfl8L99l8XRn1lUCjP2gEsBPH32nLmz5/LunXLFx5KTUwi6HUzfz3vlKZ5/4s7IzCTwWhAd27QmNjZvNW1SU9P47c/d1KlZFU+3+rneTy6Xs2zNZm7cecik4V/gWb9OrscrFApOXbzBht0nSE5No0HtKnRp3ZgaVRz+TZbq6mqF8p2XV9ekqXsdmrrX4dXbGI6du8rJi9c5e+k2Pk3q079761zHJ5q41+NdvwT+2HqAZT9tY2jfLtkep6djQPcOrdl14Dhd2rbCwS7nAVcjA1PsbCpy+vxlWuVjh7//pVAo+GH1Gg4eOcGAfn3o1/szNDU1yUjP+neYm6L+G127biOmJiY4OVYp1PuUhmeLmpoEU1PlW2Ylkhxu3LjBmDFjmD59Oh06KNeMEyW7i85ev32Ym5vj3VT5qYx37t5FLpdTv24dpc578DCUjIxMpRZfHTh+lvjEJAb16fbR1s3mPce4eOUWg/t0pnnj3FfGv3wdzZrNBwh+EEGNKo581ac9DjbFU7XUytyEQZ+15fNOzdhx8ByHzgQSGBTCwJ5taO5ZJ8fP2bWtN6/eRON39Dz2Fa1o7Z39mpSendtw+OR5Nu86yLeTcq9DVL9uLY6eOFMoq4X/3LSFg4eP0ufzXgz+UvnNoYpDSEgIN27cYMSw4WJ19H8Ue3J4+fIlI0eO5IcffsDDw0Pp88WYQ9F49vwZV69eZeiQoUqthv5H0K3blCtXjmrVlNuK8tbd+0gkEmpVz9t5ySmp7D5wHPd6tT5aK+nKzbvsOngaH++GdG/fLNdjzwYE8cvWQ2ioqzFyQBdaN6lfIhVbdbS1GPx5O5p71uGXLYf48c99XLvzkLGDu6OVzaI+iUTC11905XnUa37ZuJcqleyxy6awoIG+Hn17tWftxr2ERTzD2THnabtudWrjd+gYwfcfUL9OzlNmP2b/wcNs2rqd9m19+HrwwHxfp6ht2rIZPT09unbpWtKhlCrFnhzWrVtHeno6S5Ys+ff/6927N3369MnT+aLlUDT2H9iPhoYGnfOxJzRA8L37VHOtgqaSb173HzzC0d4OPb287Qp36nwASckpfNEr9zgTEpNZ9cdOnOwrMvzLHrk+6Pce+4tNe09Rq6oT4wb3+OigcHYUCgVxCcnExich/88wnpGBLsaGeqgruUe2o601S6YMZf/JS2zee5I30XHMHN0v2xXb6urqTBr+BSOnLeOH37azYs7YbO/3Rc8ObNt9lB1+R5kxYViO965doxrq6uoE3b6b7+SQnp7O2vUbaFC/HhPGji61pdEvBwZy0f8iQwYNRkendO7pUVKKPTnMnDmTmTNnFvdthVwkJydz+MgRmnk3w8TEROnzpVIpj8PC6d5F+QHMsIgnuNWtnadjFQoFR05eoEolR6pUcsz12LVb95OYnML8KcNynOqpUCjYuOckfif8aeJek7GDu+e5hHZcQjK3QiK4dT+Cp1Fvef0unvSMzGyP1VBXw8zYABtrU2q62FOzij221maoqeX+wFRTU6N7Wy9srMxY8fsufBf/zqwx/bGtkLW8tomRAcMGdGfZms0cPP4X3bJpKenr69K2ZRP8jpzmzbsYLMyy/7fW1tbCpZITd+6FfPyLyMHFgEskp6TQ9/NeJTItNS8SEhNZunwpjo6O9Ovbr6TDKXVUboV0QYl1DlkdOXqElJQUen/2eb7Oj3jylMzMTKoosUYBICY2jpjYOCo5OuTp+LshoTyLfMmEEQNzPe7arfuc9b9O764+ONlnP/iqUCj4bethjp2/Srtm7nzVt8NH3+4zMqVcuHqP81fu8iDs/WpaI31dKjtYU8vVASszI0yM9FFTkyD5+x6xCcm8jU7gdXQcYc9ecT047N/zvBtWx8erNlbmuReDdK/jykLfISxYtYWZK/5k8ZShVMhmbUTTRnU5f+kGm/ccpVH9GlhbZi1a2LltC/wOn+LwiXMM7tcjx3vWrlGNPQcOk5qWhraSW8ICHDtxCitLS2rXUm6tTHGRy+UsWLiAuLg4lixcLMYasqFyyUGMORQumUzG7r17qFWzFq6u+Zvi+zA0FACXypWVOi8s4gkAzk4OeTr+6OkL6Opo4+2Zcwnw9IwMft6wB7uKlvTukvPCSr/j/hw7f5Vubbz4sqdPrt0e6RmZnAq4zf5TV4iNT6aSvRV9OjWhXjVHHGwsP9oC+K+3MQkEP3zKteDHHDp7jYNnrlK/hjO92nlSyT7nmj6VHSqycPJgpi9bx5wfNrJixjcY6H/YFSeRSBg5sBfDpizh1037mDv56yzXsbIww8O9LsfOXOSLzzpTPofFirVrVGfH3gPcf/BI6a6lhIREbt66Tf++vZUqoVJcFAoFP//6C5cuX2LcmLH5/r0v61QuORR0zMHEQJMVIxoXYkSqLeBSwPtJAsNH5PsaoaFh6OrqUlHJDXkehz8ByFPLISk5Bf/Am/g0b4yWpmaOx+0/doE372JZNH1EjgvDbt4NZfO+UzR2q/HRxBD65CWrNh4m6k0s1SvbMmZAR1p4VVd6qu8/zE0MaOFRkxYeNYmJS+Sk/21OXLzF1OWb8fGqQ9/OTdHTyf5N3cbanBmj+zFj2XoW/7ydeRMHZukGMzM1om/3NqzbdpDb90KpXT1rwm7fqikBV25y5fptmnhkv7te9aouqKlJuJuPQelHjx+jUChKbathy9Yt7Ni5gx7dutOje86tp0+dyiUH0XIoXLv37MHS0hKvxl75vsajx4+pXMlZ6UHHx+ERWFta5Gkw+nzAVTIyM2nTIuc4Y+IS2H3oDI3q16B2texbMS9fR7Pi913YVbRgzKCcp8JKZTL2HQ9k9/FLmBjq8e2oXtSp+n6co7AGV02M9Ond0YvOLRuw84g/R8/fJPDWIwb1aEGTBtWyPaeKky1jBnXju7W7+WXzIUYP7Jolno6tvDh44i827DzM93PHZfl53ZrVMDM15sQ5/xyTg66ODk4ODtwNeaj053oU+hiAys7OSp9b1Pb67eO3tb/j07o1Y8eMLbUD5aVB6WvzCcUm9PFjgm4F0aNb93xNX4X3D9HwiCdUdlZ+BlhoWATOjg55OvbkuQAcbCtS2Snnwolb9h4jIzOTwX2yHxhPz8hk8c/bUZNImD6yX7ZTQwGSU9KYvXIHO48G4FW/Kt9PH/RvYigKOtqaDOrZkmVTBmBhasjKDYdZt+s0Mrk82+ObNqzFZx2bcSbgJucu38ry8/Lly9GvRzsehT/j0vXgLD9XV1ejtbcnN27d4110zmNwNatV4f6DR0pvmxn6OAwrS8tC32+hIBQKBVu2beWHlT/g1diL6VOnl8our9JE5VoOYipr4dm9exdaWlp0zOf0VYCwsHDS09Op6qpcae930TFEvnxFx7atPnrs44hnPHwcwTcDP8/xTe951GtOnb9Ch9ZeVMxhe82tfqd5Gvma2eMGYJnDIHBSShrzVu/iadRbxg3qSBO37N/gi4KjrSULJ/Zjs995Dp29TnR8EmO/7IBmNrOtenduzt2HEazbcYy61StlmeLawsuNXQdPs/PAKTzdamb53lp5e7B93xH+unyN7h19so2nmmsV/A4fJ/zJMyo75z05vnn7lgpKdjEWJblczpqf17Bz9y5atmjJtzNm5vtl6FOict+Q6FYqHG/evOHUmdN07NARAyV2a/tfd+/dB6BGdeW2a7we9P6NtnYetnk8cuoC5cuVo7V3zjVvNu0+iqZmefp0zf5Bd+/REw6evkxb7wbUq5F9l1NiUipzf9rJ85fR+H7Vlfo1ir9bRF1NjYE9WmBmYsCGvWeZtzqZacN7ZBmHUFdTY+SXXRg352d+23qYqSP6ZPl5zw4tWLVuJ0F3H1Kv5oeDrjYVrKjkaMc5/6s5J4cq77+nkIehSiWH2NhYqlVVbjFkUcnMzGTJ0iWcOHWSnt17MGb0GNFiyCOVSw5C4diybStyuZy+vfO2+DAnd+/fx8LcHAsl9noGuHbzDro62lT6yEyllNQ0zl0MxLtxA/RzGJt48Pgpl67doV+PthgaZK0hk5aewao//bAwNWJgr+w3EkpKSWPu6p28eBXN1K+7Ubd63lqXUqmMR09fc+9xFA/CXxL1Jo6MTCmZUhlSmRxTQ10qWBhha21CVacK1HG1zVPRvo7N3TAx1OPHjUdY/MteZo/5nPL/M8BuY2VOny7N2bT3FJdu3MOz/oeJtoWXG1v3HWfXwTNZkgNAM6+G/LF5N1Gv3lDBKuvaCUsLc0yMjbj/8BGd22efQLITExOLibFRno8vKklJSUyfOYObQTf5auhXDPiivxhjUIJIDp+gly9fcvDQQdq3a1+gLRGlMhk3bt6iUcOcp5ZmRyaTc+HiFerUqvHRjX2On3m/r3OnNtkXgVMoFKzbdgAjAz26ts2+VPgWv9O8ehvDwsmD0dbKOtNJJpez8s9DPH/5jqnDelC32sffklPTMjh56R5Hzt8hPikViQTsK5hR08UGrfIalCungZpEwru4JF68iuVuaCSHzt3G2EAH7wZVaO7uipV57vsGeNZzRaGA79cfZN2u0wzv1zbLMV19GnPxajDrdx6jfk2XD7qgypXToEtbb9ZvP0j400jMzT9MEE093Phj824CrtykV5es15ZIJLi6VOJhaNhHv49/ZGRkkpaertTe4UUhOjqaib6TiIiIYOb0GbRtk/XzCblTueQgxhwKbv2G9aipqTHoy4EFuk5w8F0SEhPxbKTcxjDB90N48y6abwbnXohNKpWy9/ApalVzyXFF9KXrwdx/FMGoQb3Q0c46BfRB2DMOnwmkffOG1KiS/TV2HQ0g6H4E3/T2+WhiyMiUsuXAZXYdvUZSSjq1q9jS2rMaVZ0roKeT8xRbqUzGrZDnnL0SwoGztzhwNohWHtXo06Ehuto5n9e4vitPIt+w70QglRysad34w9Xk6urqDPm8PTNXrOfwmcv0aPdh0USfZg3ZsucYx85eoqHbh8nB0tyUSo52BFwNyjY5ALg4O3H56g1SUlLR0dHO9bsBSE9PA0ArHwvnCktkVBQTJk0gOjqaZUuW0tA9+2KEQu5ULjkIBRPxJIITJ0/yWa/PsLDI2pWgjL8CLlG+fHkaNsh+OmROzl7wR1tbi0YNcq+Sej7gGu+iYxn7dfZJJFMqZcOOQ9hVtMSnWdYHQKZUypqNBzAzNqB/j+wXxF0LfsyeY5dp4VGT1l65l/F48SqGHzef5tnLGOpXt6d7q3pUsrfM9Zx/aKir41bDAbcaDsTEJXHg7C1OBNzj6p0I+nf2wKt+5Ry7PHp39CLs2Sv+2HUah4oWVHb4sLVX09WR+jVd2HfMn7be7uj+Z3xCX1eHJo3qcC7gBpNT+ma5tqd7XTbtPEB0bBym2XQFVXZ2QqFQ8DjiSZ6KI6ampQPka1V1YQgLC2PCpAlkSqX8+MNKqldTbixM+H+f3MiMf/DLkg6hRP3y669oaWnxRQFryWRkZHL+wkUaNnBDO5s39pzEJyRy9mIArZt75bqYLTNTyra9h3GwrUiDutkvpjpw/AJRr98xpG+XbLun/I778yzqDV/37YhONt1Jb6LjWbXxCM52lnz1eetc+6NvhTxj5o9+xCemsnhSD3yHtMtzYvhfJkZ6DOruxeLxPTA30eenbWdZv8+fnPbdUldTY/zAThgb6LJq0xGk2Uwt7dulBUkpqZy4cC3Lz9q18CQ1LZ0zF69n+Vlj93oAXLlxJ9t7u1R638p+HB6Rp8/2T8uhJMpRRDyJYOz4saipq7Nm9U8iMRSQyrUcxGyl/Au8coVLly8x/JthGBkVbMDw/F8XiY2Lo3OH9kqdt/fgEVJT0/iyb+4rU4+cOk/ky9fMmzom24f22+hYtvmdpGG9GrjVzvpG+zzqDTsPn6exWw3c62QdjJXJ5azccBgUCiYM6ZJlsPe/zl99wG+7LmBnbYLvkHa4VrYulA1cHG3MmD+mG9sOB3Lo/G0kwKDuXtl+Xn09bYZ81oolv+7j5MVbtG/2YaurkkNFaro6cuTcFbr4eH6QLF0r2WNlYcqpC9fwqPdh68jetgKmxkbcCg6hfaus+3gYGxlioK/Pk2cv8vSZ0tMzANDKJhkXpcjISMZNGI+6ujqrV67CxsamWO9fFqlccijomINWeXV+nqDcHsdlQXJyMstWLMPezp5ePXsV+Hp+Bw5ia2ND/Xp539wnITEJv0PHaOrZiMrODjk+YBOTktmy+xB1albFvV72rYa1W/aDQsE3/btl+ZlcLmfNpgNolS/P132y30zqwKmrPAyPZNzAjrjl2IwAACAASURBVFiZ5ZwoL98K49ed56lZ2YYJA33Q1ircN2I1NQn9Or0fszl0/jYSiYSB3RpnmyDcajhTy9WenUcCaNKgGvq6H44BdGrpwaI12wgMCqGx2/9vniSRSGjaqC57D58lPiHpgxldEomEurWqcu1mMHK5PMs0T4lEgr2tDU+fPc/T50nPeJ8cirPl8C76HeMmjkcqlYrEUIg+uW4lO8uS3ci8pKxes5p3794xbeq0Av/h3rl7j5CHj+jWpZNSc8Z37N1PSmoq/Xv3zPW4zbsOkJScwtcDPsv2IXk16B4B1+7wWedWWJpnLTt95OwVQh4/Y0jvdhgZZv33jnj+mp1H/PGsVwUvt5z70R+Ev2T11jNUcbBi0uA2hZ4Y/iGRvE8QHbxrcdz/LvvPBOV43MDuLUhJTWf/qStZfu5WuwqWZsYcPXc1y8+aNqqLTC7n0vWs3Ud1a1YjPjGJiGeR2d7Xwc4mzy2HjPT3Yw7K7uuRX2lpafhO8SUuLo4VS5fj5PRpTzYpTJ9ccvgUnTl7hsNHjtCvbz+lF6v9L4VCwR/rN2BiYkw7n5yrnv6vJ89esOfAEdq0bIaTQ867kN17EMrB4+fo1KY5zg62WX7+zyY+9jbW9OjQIsvPn0e9YdPek7jVcqG5R9ZWTUamlB83HkFfT5uvP8+56F5MXBLfbzyJubEek4e0y3aVcmGSSCT07+yBZ91K7D5+nRevYrI9zr6iOY3qunDK/zZpf3fh/ENdTY0WnnW49+gJ0XEJH/zMwdYaKwsTbgZnrZVU3fV9qfWHoeHZ3rOCtRVJyckkJSV/9HMkp7zfB1xXN2+bNxWEQqFg+YrlhD5+zLw5c6laShbelRUq160kxhyUE/UyimUrllOjeg2GDBpc4OtduXadO3fvMW7UiDwPRCsUClb9+gc62lp8PfCLHI9LT8/g+182YmFmwuC+3bM95tdN+0hISmbu5K+zVF2VSmWsXL8PTc3yjPoya0E6gO2HLvL85TtmjOiJvl72UzOlMhk/bDpFWnom3w7vlOsU1cIkkUgY1K0xtx8840+/AGYO65jtZ+jQrD6Xbj7kwtV7tGlS94OfeTWoyfaD57h84z4dW/4fe+cdV2X5/vE3iCLIRlBQFBEBBzhx5d57lJrlSMvM+maWmmWuytS2mmWWOUrLvc29cICy9957bw7jcM7z++O4Ds85cFAs+cX7L1/Pc59nHDn3dd/X+FyPUoy1tLTo3aMTV296I5PJlGISLS2bY2RoQERMPONGil2uLVso5EjSMjLpYFB9qu8DA6JpZ7+n4eixY1y8fIkFbyygX9/atxxuoHrqnXF42piDg40xH8+qPoXy/wsSiYQ169aipaXFujVrn1pPplIm49dde7C2asn4saorjVVx/vJ1AoJDWfq/hZgYq2/BuffgCZJT09m0ZqlKw3Pzrh9uHr7Mfmks7W3FfuXDf98gOj6Fj96eqbKdZkhUEmeueTFqQDd6VFMBfeySD5HxGSyZMwKblrXvjPc0GBno8fLY3uw+fhvPoDj6uIif09GuFXY2LTh3w5dRA7opGZDWVhbYtm7Bba8gJeMA0Kd7J05fuE1UXBJO9rYPj2tpadHBri2R0fEqn8mqhSIrKy0jo0YZjZKS+8ah2bN13wYFB/Hj9h8Z8MIA5s6uvl6mgSejwa30/5Ty8nI+Wvkx0dHRrF295qkqoR9w/MQpYuPiWfjG6zRW0ySmKonJKfy0cw/dnDszdqTYDfQADy9/jp+9zMTRQ+nhIha7S07N5IffDuFk35bpE4eLzvuHRHP4rBvD+ncXyUiAQmn1h9//pkVzE+ZOHaL2OeJTsjl11Z9BvRzo3712ne3qihH9OtHC3IgLt4JVntfS0mJ4fxeS03NIzRS7n3q5OBIRmyxyO3V3dgAgIjpB9Bm7tq1JSk1DrkIJtrm5wkDm5uXX+Oy5eXk0atSIZs2eXT/mkpISPv9iPZaWlqz+ZFWDVtIzouFb/X+IVCplzbo1+Af4s2rlKvr3Uy9Ypylp6Rns/n0f/fr0ZvBAzZollZdX8PlXm9HVbcLKpYvV/ojTM7L49qfd2Ldrw8K5M0TnS8vK2bB1N40b6/Dx4tfQ0VGuacjJK+T7345iY2XBW7MmiD4vCAK/HLxEXkExH8yfqDawLJPJ+eWwGwb6usyd/PTf2ZPSqJE2g10dCY1JJTOnUOWYbh1tAQiKSBSd62jfBrlcTnS8coC5ubkJJsaGxCSIA89WLS2RSivJzhUbACNDxS6gsKjmBkeZWVk0b25eoyzK07D1h61kZGSwdvUaDAz+mwkm/wT1zq3UEHOonsrKStZv+AJ3Dw8+XPYho0ZqHjRWhyAIbP1xO2hp8f7idzQWL/t51+/EJSSycd3Kh6vPqlRUSNmw+RcEQWD1srdpUiXwKwgC23YdJjk1k/UfLcLCXFlqW1pZydc7DlFeIWXFopdV9mhw8wzljk84r0wcWG0rzvO3gohNymLJnBEYNvv35B8ABrs6cOSiF25eEUwfI9auatHcBEtzYwLC4xkzSDnu4GCnCOSHxySKJEPs2rQiLjFVdL2WlgrhxLSMTCybK/9fNWrUiGb6ehRpZByysbRQLZleF1y/cZ1zF84zb+5rOHd5PjvN/X+hYefw/4iCggI+WLaUa9ev8c7b7zB5kuqmN7XlwqXL3PX0YsH8ubTQUHLj74tXOHPhMjOmTqJPz+4qx8jlcr7bvofImHiW/+91rFqIJ5WDJy8r4gzTxtKti4PSOUEQ+HnfGcJjEnn3tSnYWIufLSktm50HL9GxfWumjlKvsZObX8zhC1706NSGft3+/Q5mzU0NcWxnhV+YeGcACtdSJ3sbIuPEE72RgT4tLUyJTUwXnWvbuiVJqRmiauwHxiEzW3WWlJ6eHpLSmmN9aWnpGv+N1JacnBy+/f47nBydmPeUumAN1Ey92zk0BKRVEx8fz0effExmZiarVq5i7Ji6UaFMS0vnh+2/0NXFmRcna2ZsAoND2bpjF67du7JgrnpJ8L0HTnDjjievz3qJ/r3FBuTabW/2HzvPsAG9mDFJ3BTo6LmbXL3jy8yJQxnYW7yKLJGU8dWvJ2iq24Slr0+kUTW+6X1n7iKXC7w2RXUB2r+BrbU5bl4RCIKg8pmsLEy4ca+E8gqpKNXW0tyU7NwC0WfMTY2RSisplpRi+FhcwOD+vyWSJ/9tFRYWkZmVRfsaZNifBEEQ+PrbbygtLWX1J6samvX8A/zndg6JGU/WGP555o77Hd56ZxESiYRtW36oM8Mgk8nY+M13aGtpsfLDpRoF/tIzMvn0y++wbtmC1R++r9b3fOzMFQ6dPM+4kYOZoUIRNCAkiq07D+LSyZ73Fog7wN30DGT/iSsM6duVmZPEct5yucDW38+SmV3AsgWTMDNRLyEdHJWCu180k4d1o2Xz6mW0NSU9p4ibvrGUlFbUPFgNrVqYUlouJbdAdX1Bi/uV3Zk5YiNgYW5Clor4gamJIlssL1+5Or3ZfcXV4hKJ2uepyWjGJyp2OXa2ttWOexKOnzjFHfc7LFzwJrbP4PoNiKnR/C5evJhXXnmF/v3/vQDd4zTEHB5RVlbG51/8yJ9/HcKhQwc2bthEyxZPJganigOHjxIUHMInK5ZpdN3iEgmrv/gKmUzO+tUr1Oa6u3v58eXmXbh278K7b7wqmnSi4pL4YsturFs2Z9WS12lcZZXoGxzF1t3H6dShrcp6BkEQ+P34NXyCY3nz5ZF0shcX0z2gQlrJrmO3sDQzZPIw1e6v2iKXCyz97hQAU4c6M31k9Wqv6njQ7yE9uwBzE3Hg1cJMMdFn5xZiY6XcbMnc1Ii8gmJkcrnSjulBim9+QRFtWj36P9XR0UG3SRMkkjI17ySnpg1VUpKiirpVq1Y1vFntSElNZcOmb+jWrRszposTFhp4NtRoHEaOHMn27dv57LPPmDFjBi+99NJTi7Y9DQ39HBSEhYXx+Yb1JCUl8fL0GSx8cyG61aic1pbQsHB2/76PoYMHMnK4+hTUB8hkMtZ/vZnE5FS+/PQTbFpZqxznHxzOxu9/oaOjHas+WCTaWcQnpbLmqx0YNNPj8xVvYVBFPygwLJZNP/2FjZUFq96dJSqEAzhx+R5nr/swfmhPRg+sXvvp6EUfUjPz+eSt8TRpUjeuCm1tLZbNGUJmbjGDejz539qDRZCOmt3Xg6wtuQo118Y6jRAEAXkV4/CgC52qlFW5IEdbW2wBBEGgqLgEwxoyg6Kio9HX18PaqmW142pDZWUln63/DG1tLVavbEhb/Sep8dcwadIkJk2aRExMDMeOHWPatGl0796dOXPm4OLi8k88Y50Snpj3bz/CUyGVSvlj3x/8sX8f5mbm7N39K/bt61Y2oKREwhdffo2FRXOWLlmskQ/+x5178PYLYNm7i+jRVXUWSWRMPJ9+tQ1rK0t++PJjpFU8LinpWaz6cgdNGjdm4yfviDKTQqMS+GLbflpamPH50nkiwwFw8ZYff566yYBeHZn34rBqnz02OYszN/wZ0tuRro7qdxdPQs+OTy/+9qBOQU9XdU2JGoVvgIeTqDoZcPG1BCorZSp9+aWlZUilUoyN1BcwAkRERuHQoUOdTuC79+4hNDSUzd99RcuWdWd0GqgZjf4X5XI5CQkJxMfHI5PJMDc359NPP+WHH3541s9X52QXqN421weioqJ46+232PP7XkYMH8Hve/bSr2/vOr2HIAh8t3Ub6RmZrP74wxpXiwAnz17g9LlLzJg6iXGjVO8y4pNSWLVhC0aGhmxavRSTKhXMaZnZrNq0HUEQ+OLjt7GyVHaThEUl8PnWfZibGvH5snkYGYpdVtc8gth56DI9u9ixeO44lavgB5SVS9n+13WMmukxZ9Lz4TKtiqT0gfy1OuOgfuJ/YBMFNS5YAeXjMpkMQRBENSQA+YWKWgtjI/VxG6lUSnRsHI4dOqgdU1t8fH3Yt38f48aOY1wtKvIbqBtq3Dls3ryZ48ePY2Njw6uvvsrWrVtp3LgxEomEoUOH8t577/0Tz1lnDHB++krhfxqZTMb+v/5k957dGBsbs2H9BgYPEmvv1wVn/j7PtRtuLJj/Gs4aiPR5+wXw02976de7JwvmijuNAaRlZLFy/ffo6DRi05oPMDdTdkumpmexcuN2yisq2LDyHSVfOCiqnzf+9BfmpkasXzZfpTTG6ate/H78Ol072rLsjclqXTGgmFS3H7xOckYeKxeO+8e0k2pLXEo2uk10MDNWHbspKFIEqo0MxNXIktJyGjXSFrndJKWKxVHVlqoF92sYHhS8PU5aegYALSzV1y+EhoUjlUrpokG3OE3IyMxg3afraNumDe+/t6ROrtlA7ajROOTm5rJz506cnJQbpujr6/Pdd989swd7VtwOSqtXMYf09HQ+/2I9gUGBDB82nGUfLMWohu39kxIVHcO2n3+hd6+evPpyzT0fklJS+fzrzbS1ac0nS9976M9+nJzcfD7+/Duk0kq+/XwFrayUJ/7U9Cw+3vATUmklG1e+g11b5WDmPb8wvv7lEK1bNuezD+aJJLgFQeCv07c4fuku/bo7suS18SrjEI9z4oov9wJimT2pX527k+qS0OhUOtpZqTV0GfezlCzNxRlWuflFmBgZiFw8D7KUqhrYnPuZTVUNN0ByqqJ7Yms1cSQAX/8AtLW16db16V3N5eXlrF6zhgqplA3rN6Cv/+ykOBpQT43GYf369WrPDRgwoE4f5p+gPu0crl2/zlfffIUgCKxZtZpRI9VLTD8tJSUSPv1iE8bGRnyyYnmNfuMSiYS1G75Bp1Ejvli9QmXz+cKiYj75YjMFhUV8uXYZtjbKE39aRjYrN25HWlnJplXvYGujPPm43Qtgy67j2Ntas/a9ORhWWSFXymT8evASV92DGPlCV96cObLaWgYAz8A4Dp33YmDPDkwY/PzGzPKLJCRn5DHI1UHtmMycAnSbNMZIhbpsfmGxyh1WXqHCOJgYqTEOKvpIp6Slo9ukCc3NTEXnHuDj549jB3uN3JDVIQgCW7ZuISw8jA3rN9C2bdunul4DT069qyT5L6SyymQyfv1tJ3/+9SedO3Vm7Zq1tLJWv2p7WgRB4JvNW0hLT2fLN19iYlJ9rr8gCHy3bQfJqWl8s34NLVuIK2LLystZ99U2UtIyWP/JEpw6KO/WklIy+OiLHxU7hk/EhuHMFQ9+O3iOLo7tWLV4lqgHdEGRhG9/O0lodDLTxvRj5gTV7TUf59rdMH47dgv7NpYsnD74uSl2U8Ud3ygAujmp732RmJJFqxZmKt8jPSuXtq3E6ceZWbkYGTYTyZSkZWYB0MLCXPSZhMRkWreyUvt95RcUEBoWrtFusyaOHDvKmb/PMmf2nGfmOm1AM+qdcfj/nspaWFjIp+s/w9PTkymTJrPkvSUaK6A+KX8dOsKNm7d5a8F8XJy71Dj+xNnzuN25y8J5s+nmLI5LyGRyvty6k7DIWFYtXUR3Z2U/dEpaJqu+/BlppcIwtGvzyDAIgsD+E1c4eu4m/Xp0Yumb02hS5f3jUzL5csdxCookvD9vAgNdxSquVZ/nj1PuXLgdjItDa95/bWSdpa0+C+RyORdvh+DUriVtrcWTNSh2TZHxaQzvL979lJVXkJaZy+A+4nMJKem0aSXO+olPSMHYyFAkqS4IApHRsbzQV6zv9ACPu/eQy+UMGqCZIKM6vLy8+PGnHxk4YCBvvrHgqa7VwNPz/P5C/oOkpKaydPlSMjMz+ejDFUycMPGZ3/Oepxe/7fmdoYMHMXN69e07AcIiovhlzz769e7J9CmqFVB37D2Ih5c/77z+KgP7KkuVpGUqXElyuZxNn/wPW5tHbj6ZXM72P05z5bYPowf14q3ZYskLz4Aotu49i76eLus/eKVaIT2AopIytvxxmeCoFMYPdmHWhL4qYyPPE76hiWTkFPLKePVaUPHJmZRXSOnYXlxwlpCs0E5qZ6P83QiCQGJyOkP6i+Vj4pNSaNdGfK2MzCwKi4pwtFe/oLp5250WLSzpYP/kmlTJycms/Wwdtm1tWbNqdUM9w3PAv2YciouLmTlzJjt27GhoCA4kJCSwZOn7VFRUsG3LD3TpUvMK/mlJTUtj/ZffYNeuHSuWvl+jm6W4RMIX32yhuZkZH73/P5U/4DMXr3P6wjVemjiKyWOV01qzc/NZtelnKqRSdnzzISaGj/zbUmklm3cd5Y53CDMmDObVycOVnkcmk/PXmVucvHwP+7Yt+Wjh1GolMQRB4I5vNL+fuoOktIK3Zw5hSG8nteOfF+RygRNXfDE3McDV2VbtOP+weAA6thf/dmLuq662a6NsHFIzspGUlikZZFC4MeOTUhg7XOzGCYuMBsBBzcRfVFSEt68fkyeMf2I3XV5+Hss/+hBtbW02bdzUEIB+TvhXjENAQACrV68mPj7+H7/381gEFxMTw/vLPgBg25YfaN/+2auCSkpLWbd+IwDr163SqOXntl92kZmdw9YvP1cZeAwICefnPQfp27MrC2Yr70IKiopZ89UOCotK2LjyHTrY2ZCVpQiOlpVXsGn7AfxDonl9xhgmj1J2TxQVl/L9ntMEhicwakBX5k8bTpNqMpIycgr57ehNAiOSFfGFGYPVumeeN275RBKdmMk7rwxVm6UkCAK3vELp2L41psbi/4eg8DjMTY2wMFOOHQWGKCb6jh1slY7HxidRXl5BRwfx7sA/KBh9PT3s1YjpXXe7hVQqZeRwsb6VJkilUj5Z9QlZWVls+X7zM42tNVA7/hXjcPjwYdatW8eKFSv+8Xs/b0VwUVFRLFn6Prq6umz9fgtt2qgPQNYVlZWVfPbFJmJi49j4+TqsNegSd83tNldu3OK1V6bTyUmcQZOZncuG73bQysqSFe8tUNpVlJaVs+7rX0nPzOXzFQtxaP/oHYslpXy+dR9RscksnjeFEQOUXR7xKZl89csJcguK+d/ssQzrp17Dv0JayZnrAZy44otOI23mTx3AqBc61RsXRUZOIXtO3MHBtgUDe6rPUkpIzSI5PYc3Xxb36pDL5QSFx+La1Um0kvcPjkZfryltq+wcgsMVRqOzk7jzXUBQKM6dO6oVULxx6zY2rVvj0OHJuuZt3/EzQcHBfLbu04b+DM8Z/4px2LBhwxN/9v9TtlJ6RgbLVyynadOmbNu67R9ZNQmCwLdbfuCelzfL33+Pvr3VBxofkJObx5Ydv9HJyYFZM14UnZfJZGz8fgfSykrWffjuQ4VPUMQRvv7pD2Lik1n9wes4d3w0iZRIyvj0+9+JS0pnxaKX6Velvae7bzg/7jtPMz1d1r//Cg7tVH8/crmcm96RHL3kQ1ZuEf26tWfOpH4qxeqeV8rKpWz+/RLaWrB49vBqq7vd7oXQSFub/j0cRediEtMoKimla0cVu4DgKJzsbUVxnJDwKCzMzbCo0pApKyeXpJRUxo0St2UFhUS3f0AgM6e/9EQupUuXL3Hk6BGmT5vO8GGq79HAv0e9C0g/bbaSvq4OhzaOFx23sFDvv34WFBcX88nqlZRXVHBo707snyKYV5tn//HnXVy4dIV33prP/Nc0Sz38ass2pFIpX32+gpYtxXnwv/1xjLCoWDateY8e3ZTlE7bvPo6nXygr3p3FhNH9Hh4vkZSx8ac/iU1KY+NHrzOwz6MYiyAI/HHcjV2HrtLFsQ2fL51Jc1PV7+gbksD2P68Rm5SNQ7sWrHhzDD272Gr0Xk9DXf69yGRyVn1/nISUHL5YOpXOjupVTcsrpLh5htC/lyPt24lTVU9eikVbW4uRQ7pjYvTIOGbl5BOXmMr4N/opPbtcLicoNJIB/bqL3ummxx0ARg7rp/J93W7dQC6XM2XS6Fp/H37+AXz59Vf0du3J2tUrRKm1qvinf6N1RX197npnHOpi5/DA1/0ACwtD0bFnSWVlJStXrSQmJpZvv/oGY2PLJ75/bZ79yPGT/PzrXsaNHsX0F6dp9LnbHp5cunaL+bNeRr+pkegzUTHx/PL7MYa80JseLi5K5908fNl76BxjhvZjUJ+eVWIMfxEalciKt2bgZNf24bkKaSU//3mBm16hDHLtxDuzxiBUiv/P0rMK+OO0Oz4hCViaGfL+3JH07WqHlpbWM/+/rMu/lwd9qz0D43hz+iDat6r+b+HGvRAKiiQM6+Oictx19wA62rdFWi4onb96yxcAB7t2SsejYuLJLyyik0MH0fWuXHfHsrk5JkbmKu91+uwlWllbY9HcqlbfR15eHu+8+wEWFhasW/MZBQVlQPXu3n/6N1pXPA/Pra2thbl57XfR9c44/H+oc9i+Yzsed++yfNlyXF1rdus8LYIgsGvvH+w/cIhBA15g6ZJ3NXIDFBeXsHXHb9i3s2XmS5NF5yukUr7+cTcmRoa8u2CW0rnYhBS27jxIZ4d2LHrtxYf3k8lkfPXzQQLDYvlgwTQlV1JJaTmbfj5GWEwyr0wcyEuj+4qes7JSxpkbARy75INOI21endCHsQOdqw1QP68UFJWy7c8rBEWmMG1UT0b0q75eA+DCTV+sW5jh7CiOTWVk5RGfnMHrM8TNk3yDIjA1NhSlt/oGhQHQ3Vn53hVSKb4BQQwfrLq4MDcvD7+AQF59eXqtXEqCIPDd5u8oKipi87ffY2xcN82VGqh76t8v6in5t7OVbt2+xeEjR5j24ktMmSSecOuaSpmM77ds49zFS0wcN5b3F7+jNrhYlf2Hj5GXX8CGNR+rlHI+evoiicmpfPHJ+xg+1tinokLKN9v30Uxfj5VL5is169l16AK+wVF89L+X6d/9kSupqKSU9T8eIT45kw/mT2RAL7GAW1BkMruP3yY1M5/ezu14/aUBmBqpFqV73gmMTOanP69RUlrOopeHMLRPzWm2EbEpRMWn8cb04SonZA/fUAB6d1P+7uRyOb5B4fR37SIKznv7B9OubWvMTJUn6YCgEEpLy+jrqrql7vUbN5HL5QwbMrjG536cCxcvcsPNjUVvLfpHsvIaeHL+VeNw7dq1f/P2/zhZWVls+upLHDp04J2333nm98vNy2PTN9/j5e3D3FmvMH/ubI1XecmpaZw4e57Rw4fgoKIAKi0jiwPH/mZQv164dleuyfj98N8kpmTw+Yq3lPR9Lrp58fe1u0wa2Z/Jo/o93G4XFJXw2bbDpGbksmLhFHo5K2e+VFRUsv/sXS7eDqaFuREfvzmO7h2ffVbXsyApPZdjl3zw8I+hdQtTVr01njYaptmeuuJJMz1dhvZVndXj7hOCXRsrrCyVA8tRcUkUFpXQ31W5YrpEUkpIeDQvTRBnPd2560XTprr0cFF9r0tXr2Hf3g67drYaPTtAWloam7dupqtLV155eabGn2vg3+E/t3P4t5DL5Xyx8QsqKir4dO2nNGnS5Jnez+OeJ199u5kSiYRlSxYzcfzYWn3+1737ady4Ma/PFv+IBUFg+66/aNRIm7dee1npXEBIFCcvuDFh5AB6ujxaDYdExvPLX2fp0aUD86aNeng8v7CEtVsOkJVbyMq3X6Krk63S9eJTstm2/yrJGXmMG+TMK+P6PNfSF6oQBEHRWOh6AHcDYtBt0pipI7ozdUQPdDUIxAJExadxLyCKGeP6o9dU/LeTlVtARGwSs6eOEJ3z9g9DS0uLvr06Iy1/FK/zCwpFJpPRu4ey0RAEgbvevvTq1hVdXfG9EhKTiIiM4p2FmktcyGQyNmxSZCmu/mSVxrvXBv496tevrA5waqNeWfJZcuLUSXx8ffnowxXPtJYhv6CAX3ft4dyFS9i1s2XzN1/SzrZ2ypbBoeHcuevF67NnYq5CiTMgOBxPvyDenDud5o91a5NKK9m26zDWLS2YP/OR9EdhsYRvfjlESwszli2c/nBiKK+Q8uWO42TnFbHm3emiXs9XPULZffw2BvpNWblwPN2cnl957aoIgkBKRh7ufjHc8YsiPbuQprqNmTysO+MHSj0fFQAAIABJREFUu6hUUq3uWnuOXsXYUJ9Jw1XHqO7edyn16ymOW3gHhOHYvg0mRgZKwVEvP0WBW9Xit7iEJLKyc5gzU7WcyuWr19DW1mb40CEav8PJ06fwDwjgk49XYqVBXU0D/z71zjjUxzqHzMxMdvyyg96urkwYL9YjqgsqKqScOH2GP/48QGlpKa++PJ15c2ZrlCL4ODKZnB937sGiuTkvThonOi8IAvuOnMbc1IRJo5XlMU5ecCMtM5v1H71F08dWnL/+dZai4lLWvT8Xg/s1EHK5nG1/nCM6MY0Vb05VMgxyucCBv+9x+ro/XR1teHfWsFpNpv8WcrlAZEI63kHxeIfEk5ZVgJaWFp3trZk8rDt9utrRTK/2jYVueoUSEZfK/2aPRa+p6s+7+4Rg27oFrVsqN+TJLygiKi6JWS8qB6kFQcDbP5geLp1E8aR7PorMpj49u4vuIwgCl69dp2eP7phXqYtQh0QiYc/ePfTo3oOxY2q3g23g36PeGYf6mK30088/IZPJWL5seZ3LRAuCwI2bt/h1915SU9Po49qLRW++UevdwgMuXL1OVEwcq5a9h15TsaRGQHA4wWFRvPP6q0qGJze/kEOnLtO7e2d6OD9yJ93xDuaWZxCzpgxXypTZdfgaHn4RzJ06hN5dH9VGVFRU8uNf17gXGMvI/p2YP3VAjUJ5crlAWnYhRSXlFJeWIymrwLBZU9pZm2Fi+OyNSkpGHje9I7nlE0VOfjGNGmnT2d6asYOc6eNsh4nRk2sFlZaVs+/kDezbtmRIH9V6W1k5+YRFJ/LKJLGEhU9gOIIg0KurcsA7ITmV7Jw8ek0Xq+re8/LDvp0tzVVM/hGRUWRkZDJvzizROXUcOHSQ/Px8Fr311nMtk96AMvXOONQ3AoMCuXrtGq/Pfx1rq7qrgBYEAW8fP/bu20dIWATtbNvy9cb19O6lOrtEE0pLy9i97yBdOjoydJBq+eV9R07T3MyUscMHKh0/dOoyFVIpC16d9PBYiaSMX/48i71tK14a+2i8h18E+467MaK/i5KbpKKiko2//k14XBpzJ/dj3CAXtZOJpKwC/4gU/CNTCYxMo7BEdZ68tYURrp3b8OIwZxqr6I/8NMSnZLPvtAfBUSloa2vR1dGGV8f3oUenNug/wQ5BFYfPuZNXUMKKN6eqrZq+7uGPIAgM6dtNdM7TLwQzEyPa2yoL9Hn7BwPQs6uywSkuLiEkPEJl6jLArTvuaGtr07+vesXYx8nLy+PgoYMMGTyYTh1rTtVt4PnhP2cc/uk2ob/t2oWZmRmvznylzq4ZF5/Atu078PUPwNqqJR8t/4BRw4c9dZDv+Jlz5BcU8MXqFSon5fCoWILDolg0b6bSriGvoIhLN+4xYmBvWlk9avxz7PxNCopKWLtkzsNnKyiS8OvBSzi1b8WCl0c+vI9cLmfbn1cJj0tj8azhvNBDdaP6wuIyzruHc8kjgtJyKQb6urh0sKKLvRXmRvo002+CftMm5BVKiEnOISg6jVM3gomIz+SD2YMxrIN+0QVFEnYeucnVu2EY6Ovy6oQ+DO7l+FQ7BFWERCVx9ro3I/q7qJUOEQSB6x7+dHGwpYWFcnyoslKGb1AEA/t0E6Ww+gaE0qa1NZbNlXcHPgFByOVylS4lgDsed+nq3AVjDVvV/r7vDyoqKli4YKFG4xt4fqh3xqE+xRx8fX3x9fPlvcXv0VSFi6a2SCQSft9/gKMnTqKvr8fit9/i9XkzKCgof+prFxUXc+jEafr37kVHR9UT89EzlzBops/oYcrtYU9fuIm0spKXxj9ya2Tl5HP6sgdD+nXF3vaRHMSuI1eQlJaz8p2pD1fygiCw98QdPIPieG1Kf5WGoaxcytGrgVy5F4m0Ukbvzm0Y84ITHWyaqxTWa2luSMd2LZgwsBN3/OP45ZgHa3++wIrXhmLV/Ml7cAdHpbDlj8uUlJYzZkAXpo3uhUEdGJyqpGbm8vXOE1hZmDJ36hC148JjkkjNyOGlsWK57dDIOCSlZbh2q1LgViElKDSScSPFNQqePn4YNGum8m8gOSWV+IRExo8VF9mpIi0tjZOnTjJu7Lh/RFCygbql3hmHp405NG3SiO1La1e486Ts2rMbCwsLJk+cVPPgGvDzD2DD19+SnZ3DuDGjWPjGfEyMje+nxD69cfjryEkkklLmzXpZ5fn0zGzu3PVh+uQx6D8m7y0pLePsldu84OqitGs4eOY6ALOnPEqt9AqK5o5POK9MGEA7mxYPM2f+dgvk4p0QJg7pyrhB4u5lsck5bDt4i8y8YgZ2t2PioM60stS8svaFbu2wMDXg+/03WPvzBT5bNBpri9pX5gZHpfDlznO0amHKp/+bROuWmgVka0tBUQmbfj6GFlp88vZLNNNXv7C45u6HbpPG9O8ljh14B4Si06gRXTsrT/TB4VFUSKX07KpsNARBwMvXn57dnFXuQt097gIwoF9fjd5j997daGtr8/q8+RqNb+D5ot4Zh/qycwiPiCAgMID33l2Mru6TrywFQeDQkWP8unsvNq1b8dnWVXTuWLdNa2LiEjh2+m9GDxtM+3aqA9mXrt9BACaMVg563vEMQFJaxuQxjwxufmExN+4GMGpgLyzMFUJ9Mrmc/SfdaNXCjCmjHvmroxMz+fPsXfp0tePVCcqTjiAIXLobyZ/nfDA2aMqaBaNwaifuV60JDm0t+OztMXy09Szn74TzxhTNfOYPSM3M5/u9l2hhbsTmVS9TUSZ7oueoiaKSUj7fdoTsvCLWvjuDlhbqU69Ly8q5eS+Q/j07i3psA3j5h9LZyU7JmAP4BiqMhnNHZVnwhKRkcnLz6Nm9q8r7edzzpJ1tW6ysxG1Gq1JYWMiVq1eZNGEiFhYWNY5v4Pmj3hmH+rJzOHHyBHp6eowbK04H1RSJRMJX323B7dZtBg8cwEfL3q/zLlkymZzvftyBoUEzFs6fo3KMXC7nips7PVw6iXzUV255Yd3SQqmBzKWb3lRWyhg//NEEfNMzlOT0HJYvmPywiU2lTMYvh9wwNtBj0YzBSgFXQRD446w3Fz0i6O7YikXT+z91vKCFmSH9XGy54x/Hq2N7oKerWZpvsaScr3edR1tbi48WjMXYUJ+ssroXUwuNTmLbH+fILShm5aIX6WhffYfEO97BlJVXMGpQL9G5jKxcElMyGDVEvMr3Dwqjo0N7UYMnb78AAHqpMA7FJSUEBocwY5pYsl0Vl69eQSqVPrPU7QaePfXOONSHnUNhURFXrl5h9KjRGKjomKYJRcXFLFvxCdGxsSx68w1envbiM0kDPHn2PBFRMaxavgRjI9XSwoGhkWRk5TD/VeWJIS0zm+DwGOZMH/fw2SorZZy/4Um3zvYPc+4rZTIOn7tD+zYt6Nvt0Wr17I1AEtNyWD5/tCi75+BFPy56RDD2BSdmje1ZbX+D2jC8dwfcfGJw949jeB/1DXUe57ejN8nKLWLN2xOxNH/yeIU6yiukHD7nzqkr97A0N+HzJTNxtFMv2/2ASzd9aG1lQUd7sT/fy/+BzpKy66iwqJjouETmzBC7Or39ArFpZU0Li+bicz5+yGQy+mnQ/wPg/Pnz2Nvb06GD6vhVA88/9c441Ic6Bze3G5SXlzPpCWMNlZWVrFu/kdj4eDZ8tpZ+fXrX8RMqSM/IZPf+g/Tp1Z2hA/urHXfjtid6TXXp76qcwXLTww+A4QMerVwDw2PJzS9i0axHFdI+wbFk5hQw/6VhD41IUUkZJ6/40quLLa7O7ZSu6+YTw5mboQzv3YHZ43rWqVFs39qcluaG+EemamQc4pKz8fCP4aWRPXGyq9vK3ryCYq64B3Lptj+5+cWM6O/CvJeGqZTHqEpsYioRsUm8PmOsyu/H0y8EK8vmWFcpivMPVtQ9dHNWFuerkEoJCgljzAjV7T7veXlhYGBAp05iQcSqJCQkEB4RzuL/vVvj2AaeX+qdcagPOwe3mzexsrLC0UGzlenjCILA9z/8iK+fPx8vX/rMDINcLmfz9p1oaWux5O031U7AUmkldzx96dNTrLNz1ycYx/ZtsXhMQsPDN5Smuk3o3uWReJ7bvWBMDJvRs8sjFc7jF30oLZcyY4zySjQuJYfdp+7Rya4F8ya61vluSUtLC5uWJiRnFGg0/uhFb5rpNWHCEHGg/EmQlJYTEBbPHd9wPAOikMnldHWyZclrE+jioHlGz1+nrqGvp8vwAeKUU0lpGQGhUUwcOVD0/fkGhKKvp4eTvbJBDo+Ioqy8nB5dxUJ7giDg6eWDa8/uavtaP86Vq1fQ0tJq6O5Wz6l3xuFpdw4ONsZ8POvJC8VqoqioCG8fb6a9NO2JJra/Dh3h3IVLzJ31CmNGiUXU6gJBENj+2168/QJ4/+0FKt0ID7jrE0BhUTEjBivvLLJz8omMTeS1GY+66snkcu75hdHLxYEmjRX+/KLiUnyCYxg7uMfDSmdJWQXHLyl2DW0fUyStkMr44eBtjJo15b2ZA2usjH5SrJob4RuWTKVMjk4194hNysI7JJ4ZY1yfqqgtJ78Ir8BoPAOjCIlMpFImx8hAj/FDezJqQDesLGun9xUalYBXQASzp454KEfyOL5B4VRWyujTQzmDSRAEfAND6drFUZSN5B8UgpaWFi5dxDuDmNg4cnJzNSqwFASBy1ev0L1bd5o3V/931cDzT70zDk/Lsxbe8/L2prKykkEDB9Y8uArhEZH8tud3hg8dzPy5s5/B0ynYd/AoJ85e4KXJ45kwRizX/DhXbrjT3MyUHi7KvusHPu1+vR6tNKPjUygoKqFP90cTzL2ASCplcgb3fjRR3fKJpKikjKnDlVe9172iyMgpYuX84RgZPH1diDpamhsikwvkFkiwNFMfEzpxxZdmek0YO1C1bEV15OQVce1uEJ4BUcQmZQBgZWnKuCE9cXWxx7FdqycyfjKZjF2HzmNqbMDEEf1UjrnjGYihgT6dHJR3B4nJaWRkZTNt0ijRZ/yDQrC3s8VQRYzM21fhPnTVwDhER0eTnJxcp0WfDfw7/OeMw98eCc805hAcEoSurm6tpQIEQeDHHb9iYmzM0vcWPzMNmiMnz/L7gSOMHj6ERfPnVHufouISvP2DmTxuuGgiC46IwczEiNaP1TaERycC0OWxSSk4MhETw2bYtn40zjs4HhsrM+zbPuqB/CBt1d6mOc4dnq1q54N3EQT17snM3EK8guOZNLSbxrsGQRAIjkrkvJsfXoFRCIKAQ7tWzJ48mF7O7Wnd0vyp/1/PXLlLdHwKyxfOUBI3fEBRiQQPnyBGD+kr2h3cuquY5KtKdJeWlRESHsGLE8W91QECAoOwad2K5uY1951wu+mGtrY2A59gcdTA88V/zjiM7/dkgnSaEhwSgpOjk8rOadVx4+YtgkNCWf7BezRrVrfpqqBYcf5x4Aj7Dx9n8At9WfbuIpWVxY/j7ulHpUzG4P7KcQFBEAgOj6Wzo53SZBcek4SluQlmJoYPx4VEJ9GpQ+uH48rKpYTFpDF5hLIOUGhsBmnZhSyapj4w/oDScikXPGJIyymmnbUJdq1MsbUyRlfDVqEPjEJ1E/XF2yFoacGoF8TFZapIz8pjx18XCYpMxLCZHpOGuzJqQDdaNDfR6POakJaZy5+nrtK7mxMDXFXvZtzcfZFKKxk1WFzHccvDl7Y21rS0VHb3BIcq3FA9u4njDTKZjMDgEIYO0myyd7t1k64uXTE1+Xek8RuoO/5zxuFZUlFRQWRkJDOmz6jV5yplMn75bQ/t7ewYO6p6N8+TkJqewZff/0hIeARjhg/h/XcWauTScHP3wqqFBQ7tbZWOZ+XkkZ2bT2dH5R1YRGwSnTs8Mr6ZOQXk5hfTucOjQGtYTKpC/sJF+bPXvKIw0GtCX+fqjXdadhFf/uFOXlEZJga63A1OAaCJTiPWvjGQNi1rrnx+kNCgzjZUVFRy7W4YfVzsaG5afSqyTC7n7DVvDp69jU4jbRbMGMHw/i513tO6WFLK978dQaeRNotmTVRp2ARB4OKNu9i1bSUS2isukeAXEMaLKrq++QYE0VhHhy6dxMWVsXHxlJSU0FVNR7jHSU5OJi4ujiWLl9TizRp4XvnPGYdLXknPzK2UlpZGZWUl7e1qd/17nl6kZ2Swfu3qOu2QJZPJOXf5Kr/s2Ye2tjarli9hmBq11aoUFZfgHxzOixNGiiaimATFhNzB7tGkLykrJyevkLatH1XPpmYq+nW3tX6UTpmUrjjm1N6K0pKKh8cjE7Jw6WBNk8bq3z+vqJRv9ntQKZOz9o2B2Lc2I7+4jMjEXH484oVHULJGxiG/SJHQYNhMdVzDMygOSVkFI/pV7xqUlJazaccxQqOTcXWxZ+HLIx/umuqS/IJiPt3yO0mpWSxfOB1zU9W1Fv4hkcQmpLD4DfHi5MEu8IU+PUTn7nn74dy5I01VVPL7+PkD0L1bzdla/gGKsb1dNauFaOD55j9nHEa5PrtuYqlpqQC0sq65gOlxzpw7j7mZGf361U7SoTq8/QLYsXsfcQmJdHXuzEfv/6/arKSqePkFIZPJeKG3OFUyITkdgDatHsUMMrJyAZT6F2flKNJFLc0fTdiZuYUY6OtioK/70DgUScrJKZDQ1lq9K0Iml/PdX/coklSwct4L2N0fa2LQlN6drOliZ4FPRBovj6zZDZSZW4yJYVOaqmk3esMrHAszQzq1Vy+xXlJazhc/HSEmIZ3Fc8cxuHfnZxInysjOY933e8nNL2LV4ln06KK+qOzo2WuYmRgxfIB4cr5xx5PW1i1wrJLCmpqeQUJSMuNHq86M8/Xzp42NjUbxhqDgYIyNjRtE9v6f8GxyBZ9jbgelPbNrp6YqjIO1teZ9GzIyM/H08mHcmFEa5ZDXRHJqGis/28RH6zZQVlbG2hUf8N0Xa2tlGADu3PPDzNRYNJkAJCSl0cLCTEmzJz1TYRxaWjxmHHIL0WmkjYlxs4fHMnIKaVGlyjghVfFZW2v1QnbBMVkkphcwf2K3h4bhcXo4tiQ9p4TU7JplLTJyi7A0U73Cz8otIjgqhcGujmqrsotKSlm/7TCxieksWzCZIX261LlhkMvl3PEO5uMvd1JYLOGzpfOqNQxRcUn4B0cyecwgGldxaeUXFOIXFMaoYf1Fz3nPW9H1rZ+reEchlUoJDAqmhxqtpaoEBQfRpXPdfxcN/Dv853YOA5yfXSZMdk4OjRo1wtRU82Cc+917yOVyRo98upqGCqmUg8dO8deREzRprMOi1+cyefzoh/UGtb2WT0AwQwf2VRm0TsvIplXVdpSFJQCYGj+adIslpTTTb0qjx65RIikXuXMKSxSqsqbVdG3LypcA4NRW9QrWqJnCJSIpk6q9BihcbfGpefRzUR3buH4vHIDBrqoLGMvKK1iz5S/ikjNYvmAyri51Kw8hCAKeAeEcOHWNuKR0bKwtWLdkLrY26sXuBEFgz8EzGBroM3aYOKB/8fod5HI540YMEJ1zu32XtjatsVYhphcQFExZeTmuPcWGoyp5+XkkJiY2tAH9f0S9Mw7Pc4V0qUSCvr5+rVZOgUEhWDRvTutWT94lLiwiiq+2/ERSSipDBvbnnTdew9zsybNF/IPCKC0rp08P1UHI7Nx82rVRft4KqWJSblqDmJ2OTiMqZXKlY3q6ij/DsopKtZ+zNFXsPjLzSjAzEhuRkNgsmjbRwdaq+uyguNRcSsuldG4vngxlMjnX7oXR1dEGSzPVfv09R68RFp3Ch29OqTPDIJPJCItO5K5fGPf8w8jMzsfK0owP3niJgX1clIyrKi653SMgJIq3X3uJZlWK4mQyOX9fukHXzk7Y2bZ+KJMOkJGZRVBoGK/Pnqnyuu4e92jSpAk9u4s7zFUlOFjRWc7FuW4qyRv496l3xuFpK6TNjHT59h3NgrK1pURSUivVVEEQCAoJwbmzZumSqjhz/iqfbtyCmZkpm9Z9Qu+eNf+Qa+LclZuYGBuKWkiCQlgvv7AYczPlwG95hcI4KO9UxEaysU4jKiuV5a717ufrl5WrX/W3NFcYh8T0Apzail1kwbFZdLRtXm3FM0BIjCJe0slObBx8QxPIK5TwxjTVaZsevhFccQ9k9pRB9On6ZIZBEASycwuISUwlKi6FyLhkouNTkJSW01hHh26d2vPq5OEM6q26p0JV0jKz2bn/JC6d7Bk3XLxruOvtT0ZWDm/OFQepr928A8CwQeIdhSAIuN+9R68e3TVqVBUUFETjxo1xcnSscWwD9YN6Zxye551DWVk5TXU1r+zNy88nOzuHTk/Yn+HClet888PPdHPuzNqPlqpVVa0NObn53PMOYNqk0SLfNShUPQVBwNRYeWUtu78b0HrMT6+j04gKaSWCIDzcTTXVbUx6oUTps4b3XUJZ+SVqn6u5sT7mxnr8eTGY+LQCJg50wMywKfdCUrjmE09WvoTxL9Q8YfuEJdPWyhRjFRXYF24HY2bcjB4dxS6nnLwidhy4iH3blrw+Yxh5eRLRGFUIgkBcUjregRGERScSk5BKQZHiPRs10sa2VUsG9XbBpaMd3bt0UNmXQR2lZeVs3LoXLS0tPlj4qsgFKJPJ2X/kDFYtLOjvqrxokMvlXLx6g85Ojli1FPfIiIqOIT0jg9mvqm7+VBX/wACcHB2fqndJA88X9c44PM80atQImUzzJjAZGZkAKv29NXHbw5PvftxB/z49WLNi2RPFFlRx5aYHckFgzHDVq+cKqcL1o9tE+X4GzRTujBJJGUYGit1TC3NjSssqKCopfXisrZU5PiEJSrsEawsjzI318Q1LZmgve1Shra3FujcG8bd7NNe947kdkPTwnFVzA2aP6cLgHtVnycSl5BCdlM2c8WIZiJikTIKjUpg9sa+oBkQuF9j2x99UVspYMm8COjo1r+hT0rM5c9UDT/9wcvIKFe/eqgW9XBxp39Ya+7bW2Nq0FH2PmiKXy/nu5z+JT0xl3fI3sWwudiNeuelObEISHy95U7QL8Q0IIikllY8/UK2ceunKNRo31mHwgJp32cXFxYSHhzNntup+IA3UT+qdcXiem/00bqxDpUy937wqmVlZAFha1q5TVkpqOhu/+wHHDvZ8v2kNJcXVB2E1RRAELl27TWenDrSyaqFyzAPjUHVXYWSomPwLi0oeGoKWFgr/f1pm3sNjdjYWCIJAdEImLe7n62tpadGrkw3XvaMpr6hEV02KqYlhU2aN7sKEF+y56Z+ItpYW9q3NcGhjplGc5+/bYejpNmZwz/bic26B6Ok2ZriK2oZzN3wIikzk7VljsLasvjVofHI6R8/d5I5XMDo6jejp4kAvZ0d6OndQCtY/DTKZjB9+O4yHTxBvzZlKr65isbyysnJ+P3ASR/t2DHlBrOx78u8LmBgbM3iAWJ9JJpNx3e0mvXv1wtCw5mf2D/BHLpfTs8ezE7Rs4J+n3hmH59mtpKPTGKlU84k6KzsbAItaqlf+uHMPOo11WPfxMvT1mtaZcQiLjCU5LYMZU9RnnFRWKoxDVXkQYwNFTCCvoJjWVgpj92AiTUrPedi8xs5GcS44KoUWvR+5pnp1suGiRwT3ghMZ1KP6IkJjg6ZMHFA7OfSUzALuBSUwqp8j+lX6JWTlFnHXP5bRAzqLzuXmF3Hw79v06GzH8H7qq4QrpFL2HL7Iuev3aKrbhCmjBzB5ZH9MjJ+s2ZM6CoqK+eanffgFRzLrxdFMHKV6h3fg+N/k5OWzaulbIsOZlJzKXS9fZk2fqnLHGRAYRE5uLsOGaLaI8vLyQldXly5PETtr4Pmj3hmH51my29DQkMLCQiUfe3WUlylSOPX01KdwViUxOQVPHz/mvToDC/O6bXB/7dZddJs0YUBf9d/PA7G38vJypeMPCuJiE9NwdlLURrS0MMXUuBn+oXGM6K/IYjEzbkZ7Gwsu3gpmmKvTw++pY7sWtGtlxqFLfvTubFNj1lNtkMsFdp64S1PdxkwcJJ7Ajlz0Rltbi/GDxfn8e49fp7JSxuvThqv9P03NyOGbXw4Rm5jGxBH9eHnCEAwN6l4fKyImgU0//E5+YRHvvzmTkSr0kwAiouM4fOoCIwf3p7OTOA6za/8BdHWbMHn8GJWfP3nmb4wMDRnQX9xitCpyuZybt2/R27U3TZrU3KSogfrDf64ILrug7Jld29TUFKlUSkmJ+sDq48jkiiBuTamKj3Py7AUa6+jUKLVdW6TSStzcvejn2k2UDvk4Dya9wmLlgKyZiSGW5iZExCY+PKatrYWrsz1+obFIpY/cbSNf6ExCSg5BUSlKY+dNdCWvsJSjVwPr6rUAuHIvksiELOaM74lJlVqK5PRcbnpHMuqFziIdpYCweO74hPPiqL5qey64+4SwdP3PZGbns+rdWSyYOa7ODUN2Tj7f//IXyz7dCsA3axarNQxFxSVs2vIrZqbGvD1fnKIaHhnNLfd7TJ8yETNTcdpvZlY2t909GDdmlEbB5dDQULKyshg6ZEjtXqqB557/nHFobvzs+gSY3S9+y83L1Wi8/L5xqEkd9QESSSmXrrsxZGB/TE1q1hCqDT6BIRQWFTNsYPWrRX19PbS0tCgqEhvADu1aExGbrCSF7erSgbJyKQHh8Q+PDejRAVNjfU5d9VMa26GNBSP6OHDudhhuPjFP/1JAalYBBy/64dzBioHdxe6qA+c8adpEhylVektUSCvZefgyLS1MmDJK9UR8xzuYb3Ycoo21JVvWvUPvbk+WdaaOtIxs9hw8w8IPN+Lm4cuL44bw48YPlTStHqeyspIvt+4kKzuX1UsXidR9BUHg1737MTYyZPqUCSqvcebvcwiCwKQJ4zR6xhs33dDR0aF/v5rVdBuoX9Q7t9LzjKWlIiUwIz2DNjY168s82IZXVFRolEseHhVNaWkZI4bUvVa++z0/9PWa0rNr9WJzjbS1sWxuSlJapuhct07tueMdTFRcCg52ClVQZ4c2mBo34/SeBUoJAAAgAElEQVRVL3o5KzKRGus04tWJfflp/zXcvCIY0vvRpDpnfE/Ssgr55ZgHuQUSpgx9cjmG0Nh0tvx5k8Y6jVgwpY/oOl7BcXgHxzNzXG+MDJR3FIf+vkNaZh5rF89QqbDqHRjJdzuP4GTfhk/fnytqofqkZGbnctc3mBt3fImISUBLS4tBfbvz2ozxtLBQ70aUy+Vs3vE73v7BLHlrLh0dxEH342cuEhAcyvtvL6CZinqc/PwCjp08xYD+/bC2qllJQC6Xc/3GdVx79cJARZOgBuo3/znj8CzdSjY2ClG/xOQkXDVQpjS6X5dQWFikkXGIiokDoEP7ulWVLSou4Ya7J0P699aoD4Vj+7aERsaJjr/Qqws7D57jmrvfQ+PQuLEOU0f2ZffRqwRFJuDsoKghmDqyB9c9wth74g6d7K0fViQ31mnEinlD2Xn8LkeuBJCRW8Sc8b1ople7yfeqZxR7T3vS0tyI5XOHYFHFZVRYXMpvR27RxsqMiUOVYw1xSRmcvurJ8P7OdHWyFV3bLziar34+gG2rlqxePPuJDYNMLiclLZOI6ASCw2MJCo9+KGDYro0182dOYHC/Hko9ulUhCAK/7T/KFTcP5syYzLgRg0RjMrKy+Xbrr3R17qxWZG//gUOUlZWzYP5cjZ4/KCiIjIwM3npzoUbjG6hf/OeMg6RM81TT2mJuZo6enh5JiYk1DwaMDRUTYkFRoUbprFExsVhaNK+TYrfHuXzjDuXlFUwaO0yj8U72bbl514/s3Hyamz3yWzfTb0q/7h256RnI/BljHubwjxzQlZNX7vHnqZtsXDYbbW0ttLW1eOeVYXz4zWF+PnCdNW9PfOhea6zTiLen98fSzIAT14PwDU9hypAuDHO1rzFQnZyRz7k7YdzwjqGrgzWLZw4QZSAJgsCvR25SLClj5cJxSoKHMrmcXw5ewkBfj7lTh4qun5CSwcebdmLZ3JRPP5hLM33N3ZQVFVLCoxMIDIsiJCKWqNgkSu8nJRga6OPc0Z4pYwfTrbOjkuJtdVRWVvLT7gOcu+zGpDHDmDVN7C4SBIHNP/6CTC5n+WLVTZ7SMzI4dfYsY0aOoK2GqqqXr1ymadOmDHhBXGHdQP3nXzEOZ86c4eeff6ayspLXXnuNWbNm/WP3fpaS3VpaWrRt05bYOPGqWhVm9/WPcnJy6dBe7AaoSmp6Bm1a104OXBNuevjg0N4W+3aaTQpdnBTP6u4dyKRRyqvU0YNdcbsXyJkr7kwbp0iFbNJYh1cnDuLHfec4cekuL41R5NZbmBky/8UBbD9wne/3XuK92SNocr/GQUtLi2kjutKrkw1/nvdl/zkf9p/zwbWzDe2szbC1NsPEUI+S0gpKSivIyC3CIzCe+NQ8tLW1mDCwEzNHd1M5ER696I1XUByzJ/bFtpVyGvGZq15Exafx3mvjMagy8UtKy/hy+wGaNm3C50vnYWTYjJqQVlbi5RfK5Zue+AVHIJVWoq2lRbu2rRg2oBcOdm1waN+G1laWGseeHlBQWMSG738hICScl6eMZf6rL6p0wR0+cQYvvwBWLn0b65aqjc5PO3aipaXNvDma/Rbz8/O5ePkSgwcNrpVkTAP1h3/cOGRkZLB582aOHz9OkyZNmDlzJn369MHeXnVlbFWe5zoHAEdHR65eu4pcLq/xx97qvtheUnIKfXvX7IaSVcrqrBL6AVJpJdFxCUwao9muAaC9bWuc7Nty+sItxo8YoJRt1dnBlr7dO3LorBsDXV1oYaEwgEP6dMY/LI6DZ29jb2vFCAtFzcBgV0dKy6TsPXmb9TvOsOKNsUqqrbbWZqx6YwSRiVl4BMTjH5mKV0gSqrBrZcac8b3o59JWlJX0gOue4Ry95MNgV0cmDFF2J8UmZXDgzC36dnNgkKty7EUQBH7Yc4L0rDy2ffE/tQ13HlBQVMzRM9e4etuLgsJizE2NGTe8P906O9DZ0a7ajDBNCI+KZePmX8nNz2f5u68zcrDqgLC3XwC//fEng1/oy8xpE8nOLhaNue3uwa077rz5+jyNCzIPHj5IWVkZs//BhV0D/yz/uHFwd3enb9++mJgo3BGjR4/mwoULvPuu6jL+qjzPdQ4AHZ2cOHX6FCmpKdi0rn6XYmxkhKGhAUnJyRpdWyaX1Xp1WROxCUlIpZU4dahdHGPquCFs+uF37vkE099VWYlzwSvjeXfND+w88DerFs9CS0sLLS0tFr0ymvjkTLbsOYNLpzZo3U+WGzOwC6ZG+mz78yprt51k5ZvjsKzS88GhjQUObSx4DZCUVZCQmkeRpBwD/SY009PFqJkupkbVr2DdvCL49bAbLg6tWThjkNIqu7xCyta9ZzE00GPRK6NFK/CTl+7g4RvK/Olj6N65vZK66ePIZDLOXXVn/7ELSErL6NfLmZGDetPD2bFOuvxJSsvYe+A4py9cp7mZKd99/pHKnhsAMXHxfPbl97Rr24bli99WuauQSCRs/fFn7NrZ8vK0FzV6hrz8PI4dP86wocNoZ6v63g3Uf/5x45CZmYmFxaPViaWlJYGBdZvXXh1ObZ5t43MnJ0XmTWhoaI3GQUtLizY2NiQkaBajEAQQqNtdU0KSokGRbZvauav69XSmhYUZfx6/gGu3TkpyGhZmxsycNJS9Ry5ywc2LsUMU8g16TZvw4ZtT+OjrP1ixaR8fv/Ui5vfbavbpaoeRoR7f7DrP8m8OM3VED8YPVt2LWb9pEzraaeaTB0Va6l9n73L+VjBdOrTig3nKjZUEQWDHXxdJTs9hzbvTMaySuRQYFssfxy7Tv2dnJo9Sn7IZn5TG9zv+JCYhha6dO7Bw9lRsbeqmf4hMJsfN3Ytd+4+Sk5fPpDFDmffKi0oNlx4nJTWdlZ9tQl9fjw1rV6L/f+3ddVxV9//A8RfdXQpIW2AhYues2TF75tycc5ubczbWQN3s2ZubunB2zakTuwsUDCwsUrqbe+/vD7/6Ay5xCeEyP8/Hw8fGved8zptzP5z3PZ/ziSLuVNZt+pnYuDgWzp2tUGcEgK3btpGZmcm4MWPL+usI1UClJwepVJrvG4yio4krip6eFhYW8g90C3utLExNG2FoaMD9B/cY+eGgErdv3LA+B/4+homJTol/nDVrmJOUlCQXa3lid/1fb5zU9BQsLEo3JcWML0fyzbw17D1yksmfDM733kfDu/HoWSg///UPLo41ad3M9U2sS6Z/yJzlO5izcjtLZ43C2a7Gm/dcHC3Z+NcZdh69zpnrD/h4SHs6eNZRaLK7wjx4GsnKLb4Ev4hmYHcPJgxtL5dwtuw+xfkbQYwf8h5d2+e/C4qNT2LlL3uws7Zg4bej3jyALnjOr/rfY5bPRrS0NFk8ZyKd23lUSL3OycnliO95tu34m5CwSOo427Pc+xsauRX9WYVHRjF9vjdSqYRf1y/Fxen/Z5nNG/fhI8c5+q8vE8aPokN7xdZ9vn3nLgcOHmDkiGF4ehY9ncjbUFF/o5WtusZd6cmhRo0a+Pn5vfk5JibmzfiAypCWliXXJGBhYVBkM0FZNG7UhEuXrypUpoO9ExkZGfjfDMLJsfhbdFMTM4IeBOcrt7yxm5uao6amxrUbd3GtXbrkUNfJkZ6d27B9ny+utZ1p7JZ/qobJYwfyMvpXvJZuY8mM8Tj9b4EguxqWrF04nmmLfudzr81MnzCAhnVfXcA0VNSY/GEX3mten98OXmbRhn9Yb6BLB886dGpRj5oWxS/mA6+mywh4EMLhMwEEPYnEQE+b6ePfx8PNgaTE/E2SZ67eZdves3Rq2YAe7T3ynUuJVMr8ldtIy8jiu2/Gkp6WQ3pajtw5//fMFdZv3YudjRULvv0ECzOTQtv2SyM8MooTZy9z4uxlYuMTqO1kz9xvP6O1pzuqqqpFfuZPn4cwa+FisrKyWLFoPkYGpm+2zRv302fPmO+9jMYNGzBk0BCF6pBEImHuPB9MTUwY+eGYCv2bKUlF/41WFmWIW1VVBTOz0o9DqfTk0Lp1a9auXUt8fDw6Ojr4+vri7e2t8P7K/kAawKNpUy5cvEBEZATWNYtf4a1+vVcX5KD7D0tMDjWtLElKTiE1LR19vYrpIaKtpYWTvS03bt3hw8F9Sv3Ae/yIvtwOesyKTdtZNm9yvoFaOtpaeE0eybRFP/Hdj3/y3dSx2Fm/+iJQ26EmS6aNZNGGvfis38PQXm3p28XzTXNPg9o2/DD1A24GhXDm2gMOnw3k0OkArMwMcbQ1x8HGHGNDXXS1NFFVU0EikRL6MoEXEXE8C4shNiEVM2N9RvVtxXst68t1ZwXwv/uETX/9S8O69nxayHOGnX+f4c6DZ3w5dkCRXUv/3HeMHQd88WhUj5lfjEG3FF1bC0pMSubS9VucOneFew+DUVVRoWljN76ZNJamjVxLvBO5GXiHBd+vQFtLixWLFuDsWPhSqMnJKcz7bhF6errMmzNT4bXL9x3Yz4OHD5jnNQ89vZJ7agnVW6UnBysrK6ZMmcLo0aPJyclh0KBBNGqk+NKCyjxl92vNPV+1sV+5epUPBhT/kM/WxgYTExMCAm/Tu2fhE6G9Vtv5VfJ48OgxzRRc9F0RA3t35Yc1v7Bo5U/MmfIpmqVYY0BbS5MZX4xm5qL1zFy0ju/nfJEvQZgZGzL/69HMW7GNGUt+5tsJQ/Bo+CohmpsY4jNlBBu2/8v2v89z0f8+n414n9oOr9rpVVVVadbAgWYNHEhITuPSzWAePY/iWVgsVwOfoqKikm/6DRUVqGFuhIudJcN6NKeVu3OhFz6ZTMahk9fZfug8DraWTPu4HxoFmq2u+N9j9z9n6dymKZ3buMuVAXDg6Fl2HPCla/vmfDl+SJkeOCckJnHx2k0uXPHnTtBDpDIZtWxqMH7kB3Ru1woz05LvlGQyGUeOn2LNT79Sy8aaxfNmYlVEr6Os7Gxmz19IVHQMK5cuxsxUsckb79y9w/oN62ndqhVdu5RvvXOhelCR5f3rqgbG+/hWeG+lt3HrN+zD4VhbW7Ny2YoSt/VZshT/WwHs37W92G+HGRmZ9BsxjiED+vDx6BFAxcV++PgZ1v2ynUaudVgw/Qu5eXlKEvwslDnfb0JHW5NFsyZhUyP/xSkmLpFF67bzIiyKsYPfZ/yIbvmaXq4FPuaXXSdISE6lS+vGDOzeEkuzouePSs/IIjElg9xcCRKp7E1iKGmQXEZmFuv+OMbVgEe0blqXSR/2QKfAXcWTFxHMXvordjaWLJr2kdzdlIWFAbsPnmX5xj9p07wxM74YXarJE9PS0jl3+QbnLt/g9r3/TwjtWjajfatmONjZKPy8IjUtnR83bub0+Ut4Nm3C3OlfFzo1BoCpqS5fTvHi3IWLzJ8zk04d5EdSFyYuLo6PPhmPtrY2m3/ajKECazxUNGVonikLZYi7rM1K1S45xMWlVniz0tv4ANesW8PBQ4c4evhIiVNjHDvuyw8rVvPrpvU4OxXftPTldC9kMhnrli0CKjb20xeusXz9FhxqWfP1xDHUcXYo1f5PXoTj9f1G1FRV+W76pzjZ5+8BlZmVzeot+7jiH0TP9zwZNaBbvt42aRlZ7Dx8Ad+LAchk0KllA/p28cTGyqzcv5tMJuNW0DO27TtNZHQCo/p3oE9nT7mLcExcItOX/IyqqirLZn+KqbH8hfBJSAhT5v6Iax0nvps2QeE7reeh4Rw4cpIzF6+RlZWNTU0rOrT2pENrz1L3FgO4E/SAJSvXEhMbx5jhgxk+aIDcKnavSaVS1v+0iX0H/mHShI8ZomC31dzcXL75dir3gu7x08ZNuDgrNh6poinDRbYslCHusiYHtQULFiyo+HDenoyMbCo6nenpaZGenl2hZcpkcOzfYzRs2IhatrbFbmtsbMSefQewsrSkUYPiF0yJjonlzIVL9OrWBV0dnQqN3dHeljrOjhw/fZFDx07xKPgZttY1FGraADA1NqS5uytnLvlz2PciZqZGOOdJEOrqarT2cEMFFQ76Xubs1UBq1bSgpuWri7+mhjpN3Zzo1LIBObkSzly9w5Ez/gQ+eE5Wdg7mJoZy3/JLIpXKuH47mDW//cOhkzfQ1tJg2if9ad/cTS4xxCem4LV8C2npmXw3deybuPJ6+iKcmT7rsalhifeMT9FRYM3nqJg4Vm38jQ1b/iI0/CWd2jZn8oRRfDRiIE0a1sfYqPgBdQWlpqXzy+/b+XHjZgz09Vk8dyadO7ZDVbXwuw2pVMqqNes5ePgoo0YMY9QI+am8i9pvyQ/fc+HiBWZOn0mL5vIrylWWt/E3WhmUIW4VFRV0dUs//1e1u3OoLs1KWVlZ9Orbm549evLN11NK3P7TL75CVVWVjWtWFbtdaFgEYyd9zafjRjFkQJ+3Entaegb/HD/Dnr+Pk5KaRivPJowe2g8ne8WmHklISmHp+t+5HRRM57bNmDjmA7n++FHxcXy3ajthkTG819qdMYO6YWyoX6CcVM7fCOLc9Xu8CI9BRQXsrC2o7VCT2g7W2FtbYKivg6G+DtpammRmZZOSlklyajrBL15y++EL7j0OITUtkxrmxgzs3pL2zd3kni8AJCal4rViCzFxSSyYMob6LvJTiSQkpTBl3koAls//Kt+8UoXJzslh79/H2bn/KKjA4L7d6dejM4YGZZvBVCaTcfLsBX7a+geJScn06t6ZT8eOKnIMA/xvrekf13Lk2HEmjB/F8CHDFG6y2rBxA3/t3MHHH41nbBWPaVCGb+BloQxxi2alcnhbH+CMWTN5+vQpu3fuKvEP8s8du/hl62/s3fEH5mbFN6NMmjoLSa6En35c+lYrX1p6BoeOnWLfYV/S0jN4r11LRg7ug3WNkrseSyQSdh48wc6DvtSwNGP656PyrUNgYWFAREQCu/45y75jF9DUUOeDHu3o27X1m9Xm8gqNjOVqwCMePAnn8fMI0jLyr0SnqqKCtEBVNjcxpFFde9zdHGnRuE6RTS4hEdF4r/mDxOQ05k0e9WYlu7xycnKZtXg9T1+E8/PKGZgbF/8ZPXkeyuKVmwiLjKJtCw8+HTMES4uyN4/dun2XLX/uJOjBI+rVcWHyp+OpW7v4+biys3NYsmwFZ86dZ9SIYcz4dpLCXWx37trJug3rGThgIFO++rpSxyIVRhkusmWhDHG/M8mhvHcOpoZaLJ/UJt9rb+sDPPT33yxbsYzft/6Gk1Px01M8fxHC2E8mMvnzzxjYr0+x2x7851/W/ryF9SsW0661+1uvfCmpaew6eIyDR0+Sk5OLR2M3hvTvQWO3uiVeNO4+eMKyDX8Sn5jMgJ4dGdG/G9raWvnOedjLGP7Yd4Krt+5jbKjPgO5t6drOo8gZT6VSGZEx8UREJ5CSmkFyajppGVno6Wihr6eDgZ4OdjXNqWFhXGJ856/fZv1vh9DR1mTOFx9S21G+CVAmk7F845+cvXyTmV+OYWDvdsWe86t+ASxZvRk9XR2+mTSWZk0aFBtDcR4/ecYvv/+F361AzM1MGTN8CO936VjiNCopKSl4LfQh8PYdJn4ynqGDBmJpaahQXXldbzt26MjC+QsqZNqP8lKGi2xZKEPc70xyqE53DrFxsQz4YCDjx32k0G35+Imfo6WlxYYfVxa7XVp6OiPGf45b/TpsXru40ipfXHwix05d4IjvWeITk6hf24lhA3vSwqNxsRfhlLR0tvz1N77nrmFhZsLE0QPp834rubjvB4ew/eBJ7jx4hraWJp3buNPrvZbY1DAvouSyi4lLZPvBU5y5EkB9Fzu+nTAEc9PCe0f9tusIuw+fZMyQXgzp26XY+nLw6El+2rYLFyd7Fsz4ArNCluJUxKPgp/yxay+Xr/lhYKDPyCED6dujm0LrNEe+jGKm1zwiIiOZMXUKXd57NfW4IvX8dWJo3aoVPt/5KM260MpwkS0LZYj7nUkO5b1z6NvGgf7t8n+Lf5sf4MRJn5GdncWWX7aUuO3O3XvZ9MsW/tz6C7Y2xQ+e27X/b37e9ic/r1mMs0Pl9iDJzs7B9+wldh/8l6iYWFwc7RgzrD+e7g2LTRL3Hj5l/dY9vAh7SbuWjRn1QU9saso3UT15EcHhk1e4cP0OuRIJLg42tPVsQJtmDbA0K9vF9rWEpBT2HDnP8fM3AOjfrQ3D+75X5PQcB46d5Zfth+jxXis+HzcYFRWVQuuLTCZj644D7DpwlNae7syY/DHaCjysLujeg0ds372Pa3630NfTY2CfHnzQr7fCgx79bt7iu8U/IJVK8VkwlyaN/n+Ki5Lq+d+H/2bp8mW0atmSRd6LlCYxgHJcZMtCGeJ+Z5JDdbpzAPhrx19s2LSRPTt3U7OEpRejY2IZOnIMo0YM46Mxo4rdNjs7m7GTpmCgr8faZYsqfCpvReTm5nLm4jX+3HOYl9Gx1HF2YFDf7rRr6VFks0duroRD/55j5yFfsrJz6N6xFcMHdMPUWL7HTkJSCmeuBHLJ7y7Bz8MBqGVtQYM6jrjVcaCOoy0WZkYlNrFExyXid/shfoEPuf3gGRKplC5tmzKkd0csirhbgFfTYqz9dbfcWIbC6sv2vYf5fdchenRuz5efjCzy+UZRHj5+wq9/7MA/4DaGBgYM6teLfr3eVzgpSKVS/tq1hy2//YG9XS2853tha5O/e2xx9fz1HUPLFi1Z5O2DllbpE9vbpAwX2bJQhrjfmeRQXXorvRYeEcHQ4UOZ9NkkRgwbXuL202fP5enz5+z8Y1uJ0xpcvu7HXJ+lDPugH5+Mqbp59XNycjlx9hL7DvsSFhmFfS1rPhzUp9gkoaouZe3m/Rw/ewV1dXV6dm7NgB4dMTMp/GL9Miaey/5B3HnwlKDHL8jMetU9UENdnRqWJliZm6ClqYG6mhrq6uqkpqUTHZdIbHwSKWmv6ktNS1M8G9ejR8fmWJcwduLIyUts2LaXZo3r4/X1R/lnnS1QXw4dO8WGLTvo0qEVUyeNK9W06lHRMfy09Q/OXbqKoYEBwwf1o8/73dApYrbVwiQmJbFs5Y9cunKVzp068O3XXxW6f1H1/K+dO9iwcQOtW7XCe6G30iUGUI6LbFkoQ9wiOSiospMDwPgJH6Oqosrmn34ucdsLFy8z9zsfFi2cR5tWLUvcfv0vWzhw+DirliykoWu9igi3zCQSKReu+rF9z2FCwiNxqGXDyCF9adPcXe6C+fqcR7yMYfv+45y/chNVNVW6tGvOwF6d5EZY5z+OhOdhUQQ/DyciOo7I6HiiYxPIycklVyIhJ1eCvq42FmbGWJgaY1PDnKYNaiv07EIikbB15z8cOHaW5u6uzJ48Ll9iyBs7wMlzV1i27ldae7rjNXWiwg9vs7Ky2bX/EDv2HURVRZXBA/owuH/vIkc3F+Xq9Rv8sGI1qakpTPx4PAP79y2yaa9gPZfJZPy65Ve2/f4bnd97j7lz5io8bXdlU4aLbFkoQ9zvTHKobs1KANv/2s7GnzYp1LSUm5vL0JFjqe3izPc+C0ssW1dXjYEjJyGRSFi9ZGGRc+pUptdJ4s89fxMa/hIn+1qMGNQ7X5IoeM4jo2LZd+Q0J85fJzdXQpMGdejdpS3N3V0rrbdMQlIKyzf+ScDdR/Tp1o6PR/Qr9FnE69j9Au4y7/u1NKxfG+9ZXyk8Ujrgzj2W/biBl9ExdGzbik/HjcLSonQP3TMzM9n4868c+ucITo4OzJkxrcTR9XnPuVQqZc26tezdt5fevXoxbeo0peiVVBRluMiWhTLELUZIl8PbHsVoZmrG3n17qVmzJm6uxY+AVlVVJS0tjaPHfencqQNGhsWPnjU21sfRzoGjvqfxPXMOjyaNMTEuuh29MqiqquBgZ0Ovrh2xtbYi4M59/vE9y4Wr/hga6FHLpib6+tr5zrmBvi7N3d3o3qEF+no63Lz9kH/PXOHE+eskJKVgaKCPiZHBW+lvn5sr4cT56yxZs42Il7F8OX4IQ/t1LbJ5SE9Pi5uBD/Ba8iO1rGuyyGuKQiOlJRIpf+3Zz7I1GzAyMmTejG8YOrBfqeexuhV4mxle8/Dzv8nQQR8wb/ZMLMxLHkPxup5nZ2fznY83R44eYeiQoXzz9ZQKX2GwoinDSOOyUIa4xQhpBVV2b6XXRo4eibm5BatXFj8CGiAuPp5ho8bSo3s3vplc/PKpr2N/9iKEmQsWk5GRwXdzptOkYfFJqDK9aW7a+w8hYRHYWtdgwtgP8GjYsMhmDIlEwtWb9/A9e5Wbdx4ilUqpZW1Fi6ZuNG1YD9c6jnLNPaWPS8Lpi37sPHSCl9Fx1HW25+sJw7CzqVHsfinpSYz7fB76erqs9J6JaRHPSfJKSExiycq1+AfcpnOHtkyZNKFUzxXg1ZKeP/+6lYOHj2BtXZPp33ydrzdSSSwsDHj2LJJZc2ZzK+AWn0/6nOFDFZtKo6opwzfwslCGuEWzUjlUxge4YeMGdu/dw5G//1FoLvylK1Zz8sxZdm//DWOjoi8+eWOPjollxoJFREZGMWrYIAb26VnqC9DbJJVKuXTtJtv3/cOzF2FYmpsysHc3enRuV2y3z6SUVC5dD+T81QCCHj1FIpGipaVJ/doOuDjY4uJYCxdHWyzNTUucHTU5JY3AoMf4BdzHLzCIxORUnB1sGfnB+3g2KXnNhKiYOKbNX0p2dg4rfWYqNFr8RWgYMxcsJjEpiS8njKdH106lvgO6dOUqP67bSExsLIMG9GP82NElTuhYUG5uGuM/mcTzFy+YM2s23bp2K9X+VUkZLrJloQxxvzPJobreOQQGBvL55C/wXvgdnTp2KnH7Z89fMG7CZ4wZOYJxo0cWuV3B2JNTUlmxdhMXr17HyNCAwf370Of9rujrK8/iLDKZjIdPgtn8+37u3n+MoYE+vbt1pHf3jiUOGkvPyOTO/WBu3nnI/UfPeBH2klyJBAA1NVXMTY2xNDNBR0cbNTVVVFVVycnJISYukejYBNLSX9UdPV0dmjWuT4dW7jR3l5+ErzAhYRHM8gdbtikAACAASURBVFlFVlY2P8ybirOj/PxLBT14HMzMBYvRUFdn0byZ1HEufqR8QUnJyaxdv4mTZ87i6GDP1K++pIGba6nKALh//z6zvWaTnpGBz0JvPD0VWxZUWSjDRbYslCHudyY5VNc7h9zcXPr070vbNm2YM2uOQvt4LfDmVkAgf/2+pchnD0XFfu/BI/7YuZcbNwNQVVXBxcmRhm71qV+nNkaGBujp6qKrq0Nubi7pGZmkp6eTkpJKQlIyCYmJJCYlk5qWRlpaOmlp6UikUtTV1VBXU0NHWxsLCzOsLCywsrSgtrMjdrY2pWq3fh33vYfB7Dn0L1f9AlFTVaVDm+b06/EedZwdFLpg5+Tk8jw0guehkUS8jCU6LoGY2HgysrKRSqVIJK/itjAzxtLcFEszE+rXcaSus12pHsA+DH6G1+IfUVNVZeOKOZgYldzGf+v2XeYuWoqxoSFLvediXaPw1eSKcv7iJVat3UBycjKjPxzOiKGD0SjDeJZz58/xnY835uZmLFn0fYkrDiojZbjIloUyxC2SQzlU1ge40Ps7bvjd4ND+gwpdmJ4+e874iZ8z+IMBTJrwcaHblBT7o+CnXL7ux+1797n/8BHZ2TklHldNTQ1jI0P09fTQ09NFT1cXNTVVJLkSciUS0tMziIqJJTEp6c0+ero61KtTm8YNXGnVvBmO9rWKvbgXjDs8MopDx05x/PQlMrOycLKvxfud29KpbYsyz2JaUfwC7uKzYiOGBgYsmTuFJo1cSqwvfrcC8fJZik3NGvywcA7mZoqtuAaQmJjEj+s3cubceWq7ODNj6hRcSnnHAa+a8X77/Td+3bqFBm4N+HnTGqTSyh8sWRGU4SJbFsoQ9zuTHKrjOIfXTp46yYLvFrJpwyYauCn2wPj75Ss5deYc2zZvwsZavhtsaWLPzskhNCyctLR0UtPTSU/PQENdHV1dnf+tDaGHibERBvp6Ct0FZGVlExkVzcPHwdx/+Jigh4948uwF8Gq969YtmtG5QzvquDjJJYqi4k5NS+fMxWv8e+oCwc9C0NBQp2WzJnRp35JmTRpUaj/8zMwstu44wKFjp3CoZc2iOVMwMzUu8Zz7B9zGy+cHatlYs8x7HkaGiq+cdt3PnyVLV5CSmsqYkSMYPmRQmX7ntLQ0fBb7cOHiRbp36870b6dha2te5ReqslKGi2xZKEPc70xyqM53DskpKfTu25vRI0fx8fjC7wQKio2LY9RHE2jcsAFLvBcofJGtKnHxCVy57s+VG374B9whJycH+1q2dH2vPV06tsfif9+gFYk7+FkIvmcucvbidZJSUjEy0KdVc3daeTbBvUF9tAqZ2rsiyGQybt25z48//c7L6Fj6dO/ExyMHvXloXlzsNwPvMMf7e2xq1mS5zzyFF/LJlUjY9vuf/LljF44O9sydNb3MzT8hISHMmjObsPAwvpj0BYM++KDIOaGqi+oauzLELZJDOVTmBzjpi8/JzMpky+ZfFd5nz74DrP9pM97zvWjXpnW+95Sh8hUlNTWNc5eu4HvmPHeDHqCqqoJn0ya836UTfXt2JDExU6FycnNz8Qu8x+nzV7lx6w7pGZloaWni3qA+jRvUpZFbPZzsbcvdVz8nJ5cLV/04cOQkj548x7qGJd9MGkvD+nXybVfUOb8VeJc53t9jXbNGqRJDbFwc3ot/IPDOXXq+343JkyaWuifSaydOnmTp8qVoaWry3UJvmrq7lxh3dVBdY1eGuEVyKIfK/AD/+PMPftr8Mwf3H8DcTLFRsbkSCRMmfUlqahpbf96Yb9CUMlQ+RUREvuT4qbMcP32OmNg4TIwN6dqpI33e74J1zeLHFeSVnZPD7XsPuXIjgJu3g4h4GQ2Avp4uLk721HGyx9nRDgc7G2pYmBfbRVYmkxEZFcO9B4+5e/8x12/dIT4hCVvrGvTv2ZluHdsUendS2Dn3uxXIvEXLsK5pxXKf+QonhntB9/Fa4E1GRgbffPUF3bp0Vvhc5JWVlcWadWs59PchGjZsyIJ587GyzP8AvLrUlcJU19iVIW6RHMqhMj/AR48e8dEn4/GaPYf3u7+v8H537wUxeep0WrVojvd8ryKnoVB2EokU/4DbnDx3jjPnryCVSvF0b0yPbp1p3bxZqQe2RcfGcyfoIXfvP+bx0xc8exH2pmsrgLGRAWYmxmhqaqKpoYG6uhpp6RkkJiWTkJRM1v8m8NPX06WRa116dm2PR2O3Yu9CCp7z0+cu8v3q9TjY2fLDQi+FR6ifPnuOJctWYmFhzuKF83GwL7lrbGFCw0KZv3ABjx49YsTwEUz4+JNCn1NUt7qSV3WNXRnifmeSQ3V+IA2vepD07d+XFi1aMneOV6n23XfgEGs3/sToD4e/mdJbGSpfWVhYGBD04AXHfE9xxPcUsXHxGBka0KVTe97v3Aknh7JdKLNzcggJiyQ0PJKX0bFERceRkJhEdk4OWdk55OTkYKCvh7GhAUZGBljXsKRh/TrY2dZUuFnq9TmXyWTsP3yMDb9so5Fbfby9Zig0xbZMJuOPv3ay5bc/aNjADe/5XsUOdCzOv8f/ZcWqlairqzNn1mzatmlbYtzVUXWNXRniLmtyUM4pGN+ienYmVXp8VVVVPDw88PP3QyaTlWqk7MD+fQl++pTft+/AydGBju3bvb1AK4GFmSmjhw/mwyEf4BcQyLETpzl05F/2HTqCs6M9XTq2p3OHtpiZKv6ZaWpo4OJoh4sCA9TKIysrm3Wbt3DU9zRtWnri9e1XCi2OkyuRsGrNOo4cO07Xzp2YNuVrhSfsyys9PZ0VK1dw/IQvjRs1Zt7cuXLNSIJQHu9ccngQklDVIeDR1INTp08TEhKCvb29wvupqKgw5csvCAkNY9EPy9HX16dH9/ZvMdLKoaamSgsPd1p4uJOYlMzZC5c5cfY8P239g82//UmThg14r30b2rVqoRQjvR8/ec63cxbz7EUoIwYPYNyHQxXs+pvFd4t/4NKVq4wcPpTxY0eXaSLB4CfBzFswn7CwMD4a9xFjRo1W6hlVheqp2jUrVfdnDgAhoSGMGPkh07+dRt8+fUu9f1JyMl9NnUFIaCiTJ31M3959lX5WzYIUOeehYRGcOHue0+cvEfkyCg11dZo2aUjr5p60btEM0zKuz1xW6ekZ7Nh3kL2H/kFXR5cZX39Oc48mCu2bnJzC7HkLuHf/AZM/n8iAvn1KfXyZTMY/R/5h1Y+rMdDXZ/7c+TRt2lTh/ZWhiaOsqmvsyhC3eOagoKqaWykvmUxGv4H9aebhwTyveWUqIz09neWr13L67DlaeDZj1vSpZW63rgqlOecymYyHj59w+sIlLl+9QWRUNCoqKtSt7Uwz98Y0c2+Ma93ab+3bs0Qi4eiJ02zbvpvEpCR6de/E2BHDFU5O0TGxTJ/tRXhEBHNmTKdj+6KfCxQlbzNSM49mzPOai6mp4qOuQTkuVGVVXWNXhrjFM4dqREVFhcaNGhMQGFjmMnR1dZk7azptWnnw/fI1jPn4U/r26km/Pr0wNyt53p+SZGRkEhYeTkhoGKFhYURHxxAXH09cfDzJySlIJBIkEglSqRQ9PT2MjQwxMjbC0sICB3t7HO3tcHRwwLgC1pZQUVGhXh0X6tVx4bOPRvP0eQiXr93g+s0A/tqznz937UNHR5tGbq40buBKI7f6uDiVb0pvmUzGw+AnnDx7gTPnL5OYlERD1/osmjeDdq3dFf6DD37ylJlz55ORnsHSxT64N25U6lhCQkOY7TWHFy9eMH7cR4wWzUhCJXjnkoMyPHMAaNiwIWfOniEqOqrMDxJVVFQYNmQA9nZObP3f6Nq/du2hY/u2eHp4UKe2M3Z2dkWuRS2VSomJjSUiIpLwiEhCw8J5/uIFz0NCiIqKznccUxMTzExNsTA3x9nJCQ11ddTU1FBRVSE1NY2kpCTi4uK5e+8+qampb/a1rlmDBm6uuLnWp0mjhtjVKn7OJUV+Z2dHe5wd7Rk1bBCpqWn4B97hVuAdAu7c45rfTQDU1dVwqFULZycHHOxqYWVpgZWlOZbm5ujq6qCpoYGqqipSqZS09HSSk1OJiYvjUfBTHgU/4f7Dx7yMjkFDQ4NWnh6836UjzT3cSxX71es3WLjoe/T19FizclmJK7UV5sLFC/gsXoSGujorl6/Es1mzUpchCGVR7ZqV/gvPHAAePHjAx59+wsL5C+j8XtkGPkH+2MMjIjlw6DDHfE+QlpYGgIaGBhYW5mhpaqKlpYWqqiopKakkpySTkpKKVCp9U5ampiZ2tWxxsLPDzq4WdrVqYVfLBhtra4UXnZfJZMTFx/P8+QuCnz7jXtB97t4LIiExEQAzU1PcmzSmY4eW1KvjWiF3OXnFJyRyJ+gBj4OfEvz0GY+fPs83QWBeGhoaSCS5cvXJ0tyMOi7ONG/mTofWLeUegpdUX2QyGTv37GXzlt9wdnJkifeCUv+eUqmUrdu2svW3bdSrWw8fbx9qWJWvN5IyNHGUVXWNXRnifmeeOfxXkkNubi49evekV4+efP3V12Uup7DYJRIJYeHhPA5+wqPgJ8THxZOV/Wp5yNzcXAwM9DE0NMTQwAArS0tsrGtibV0TC3Pzt9JcIZPJCI+IJOD2bW7eCuRWQOCbZOHk6EALz2a0aO5JA9f6b2ViveSUVKJjYl/9i40lIzOT7KxssrKzUVdXx9BAH0MDA0yMjXB2dCjxWUJx9SUlNZXlq9Zw7sJFOrZvy/SpU9DV0SlVvGlpaXgv8uHipYv07NGTqVO+UTg5lzVuZVddY1eGuEVyKIeq+gC//GoyGRkZ/PLz5jKXoQyVr7RkMhkJidEcP3Ge6zf8uXMviNzcXPT09PD0cKeFZzM8m3lU+F1FRSnqnN++c5fFS1cQExvLJx+NZeiggaVuQguPiGDm7JmEhIQw+YsvGTig9GWUNu7qoLrGrgxxvzMPpKdvvFzhvZWqSgM3N/7auYOsrKwK+WZYXaioqFC3jgumJlYMHzKYtLR0bt4K4Mr161y77sfZ8xeBV3cVnh4eNGvqTsMGrmWejO5tS05OYdMvv3L0X19q1qjBmpXLcKtfr9Tl3Lx5E6/5cwFYuXwFHk09SthDEN6eapccln7WusLvHKqKm5sbEomEBw8f0rhR6Xux/Ffo6enSrm1r2rVtjUwm4+mz51z38+P6DX/2HTzErr370NBQp4GrK808muLp0RQXZ6cqH9uRk5PD8ZOn+GXLbySnpDB86GDGfDi8TEns4KGDrPpxNbVsbflhyQ/Y2Ni8hYgFQXFVlhxWr16NmpoaX375ZVWFUOXc/rfgz717d9/p5JCXiooKzk6OODs5MnzIYDIyMrl99y7+twLwv3mLzVu2sXnLNoyMDGnapAnujRvh3qQRtjY2Fdb8UpL0jAz27D/I7r37iYmNxc21Pismf1Gm3ki5ubmsWbeW/Qf206plS+bPnY++ftWufCcIUAXJISUlhSVLlnDkyBE+/lixBW/+q0yMTbCxseHO3btVHYrS0tHRfvXA2vNVF864+Hj8bwZww9+fm7cCOXPuPADmZma4udangWt9XF3r4+LshJYCcx0pKjc3l4DA25y7cInzly6RlJRM40YNmfbNV3h6NC1TYoqPj2fu/HkE3g5k2NBhfPbpRDF+QVAalZ4cTp06hYODA+PGjavsQyulBq5u3CjDJHzvKjNTU7p1eY9uXd5DJpMRFh7OrYDbBN65w92g+5y78Op5haqqKvZ2tXBxdsLJ0QEba2tsbawV6pYrk8lITU0l+OkzHj58xINHj7gZcJvk5GR0dHTo2L41vXv0xM21fpl/j/v37zNnrhdJyUnM85pHt65dy1yWILwNlZ4c+vfvD8DatWsr+9BKqWHDhhw/4UtoWCh2td7uTKL/NSoqKtSytaWWrS19e/cEIC4unnv37/PocTBPnj4jIPAOJ06dybefvr4+RoaGGBsbvUoUMhkymYyc3FziExKIi4snKyvrzfY1a9SghacH7du2oXkzj3KtxSyTyThw8CBr16/FzMyMjes2UKdOnZJ3FIRK9taSw7Fjx1iyZEm+15ycnNi2bVu5yi1LlyxFWFgovgh8RererSPLV67gwYM7eDR1K1MZVRV7eb2NuC0sDKhXL/9MtykpqYSEhvMiJJTwiJdER8eQkJhEQkIiWdmvFvtRUVVBV1cbu1puWJibYWFhhouTI26udTEtZMrwssSemJjEnLkLOHnqDO3bteGH730wNancKeSra12B6ht7dY37rSWHHj160KNHjwov9780zgFAR8cYa2trTp+5SLeuvUq9vzL0oy6Lyo7b0sIaSwtrPEvZO1QiQS7OssR+K+AW3j4+xCfE88WkzxkyeAiSXNVKPQfVta5A9Y1dGeJ+Z8Y5/Bd5NvPE94TvOzfe4V2QmprKpp82cfDvQ9ja2LJpwybq1a1b1WEJQomq1yIA/1EdO3QkIyODS5cvV3UoQgWRyWScPXeWD0eP5O9/DjNk8GC2/rpFJAah2qiyO4d3eXxDQU3d3bGwsOC473He69SpqsMRykEmk3HD7wa/bPmVoKAgarvU5ofF31OvXulHTAtCVRLNSkpATU2Nrl26smv3LuLi4jBT0jmFXktPTycqOoqoqGhiYqKJT0ggKSmRxMREUlNTSU9PJyMzk6zMTHLzrPsAr7qYqqmqoaWlibqGBtpa2mhra2NgYICRoSGGRkaYmphgYWGJhYU5lpaWGBsZK303X6lUyrXr1/jjzz+5fec2VlZWzJg2nR7v93grkwkKwtsmaq2S6NO7Nzt37eSvnTv48vMvqjoc4NWAxeAnwTx+/Jhnz58TGhpCSGgo8fHxctvq6upiZGSEgYEBurq6mJqYoKWlhbq6BmqqqqiqvWrBlEplSKVSVFVlpKSkkZGRSXJyMmHhYSQlJeVbC+I1HR0drK2tsa5pTS1bW+zs7KhVyw4He3uMqnj1u+TkZI4eO8r+gweIiIjAwsKCqVO+oXev3mhoaFRpbIJQHiI5KIlatrXo3q0bBw4eYPjQYZibm1fq8XNzcwl+8oR79+5y5+5dgu4HERER8eZ9YyMjatnZ0aplK2xtbalhVQMrK0ssLa0wMTYu9YP0onpx5ObmkpCQQExsDDExsURFRxEZGUlERAShYaFcvXaVnJyc/4/L2BgHe3vs7R2wt7fHwd4eOzt7LC0s3srcSzKZjBcvQvjnyAkuXrpE4O1AJBIJjRo24tNPJtC+XXuRFIT/hGo3Zfd/YQ3pooRHRPDhqA9p7tmcJYsWKzSVQlljl8lkPHn6hOvXr3Pz1i0CbweSkZHxvzItcHN1pW6dutSuXYc6tWuXer3itxW3RCLhZVQUISEvePHi1b/nIS94/vw5KSn/X56WlhY21jbY2NhgbW2NlZUV1jVrUrNGTUzNTDE0MCz2/MpkMpKSkgiPCCciIpJnz5/x4OEDHj18+GbxIEdHR9q0bk3nTp2pXbt26U9CJVOWel4W1TV2ZYhbrOdQDsrwAb62b/8+Vv24mq5dujJn1uwS26tLE3tWVhY3b93k0uXLXL5ymejoV0uB2tvZ4+7ujnuTJjRo0KDMy5aWRkWfc5lMRkJCAi/+lzRCw8IIDw8nLDyMiIgIsv832O01FRUVjAwN0dXTQ11dHXU1dVRUVcjIyCA9PZ309PR8+6ipqeHo6Ei9unVp5tGE+vUbYWNtXWHxVwZlquelVV1jV4a435lxDv+l9RwK88HAD8jIzGTTT5vIzMxgwbwF5Rr7EBsXy5UrV7h0+TI3/G6QlZWFjo4Ons08+WjsOFq2aFnpTVhvg4qKCqamppiamuLexD3fezKZjMTERCIiI3j58iUJCQkkJr56gJ6ekU5uroTc3FxkMina2jro6uqiq6uDhbkF1tav7jzyzsmkDH/wgvC2Vbvk8F9az6EoI0d8iI6ODqtWr+KLyV/y0bhxtGjeQqE29IyMDO7fv8+1G9e5dv0awcHBAFhZWdGrZy/atG6NexN3NCtwxlJlp6KigomJCSYmJri5lm2KEkF411S75PCu+GDAQIyNjFi/cQPTZkynZo2atGjRAjdXV8zMzDA1NSU7O5ucwDSePA0jJDSEO3fvEBwcjEQiQU1NjUYNGzHx04m0bNECZydnpe8OKgiC8hDPHFDuZoLc3FzOnD3L0WNHuf/gfqFdPQG0tbWpX68+DRs2pIGbG40bNUZPT6+So1WcMp/zklTX2Ktr3FB9Y1eGuN+ZZw7vGnV1dbp26ULXLl3IzMwkNjaWuPh44uLi0NLSpHZte9RUdTA2NhYLxQiCUGGqXXL4rz+QLo62tja2trbY2tq+eU0ZvpkIgvDfU+2Sw7vwQFoQBKGqiVlZBUEQBDkiOQiCIAhyRHIQBEEQ5IjkIAiCIMgRyUEQBEGQI5KDIAiCIEckB0EQBEGOSA6CIAiCHJEcBEEQBDkiOQiCIAhyRHIQBEEQ5IjkIAiCIMgRyUEQBEGQI5KDIAiCIEckB0EQBEGOSA6CIAiCHJEcBEEQBDkiOQiCIAhyRHIQBEEQ5IjkIAiCIMgRyUEQBEGQI5KDIAiCIKfSk4O/vz+DBg2iX79+jBkzhvDw8MoOQRAEQShBpSeHadOm4ePjw6FDh+jTpw8+Pj6VHYIgCIJQgkpNDtnZ2Xz11VfUq1cPgLp16xIZGVmZIQiCIAgKqNTkoKmpSb9+/QCQSqWsW7eOLl26VGYIgiAIggJUZDKZ7G0UfOzYMZYsWZLvNScnJ7Zt20Z2djYzZ84kKSmJTZs2oaGh8TZCEARBEMrorSWHoqSlpfHZZ59hbGzM8uXL0dTULNX+cXGpSKUVG7KFhQExMSkVWmZlqa6xV9e4ofrGXl3jhuobuzLEraqqgpmZfun3ewuxFGvatGnY29uzevXqUicGQRAEoXKoV+bBgoKCOHXqFC4uLgwYMAAAS0tLNm/eXJlhCIIgCCWo1OTg6urKw4cPK/OQgiAIQhmIEdKCIAiCnEq9cxDkHXnqSy+nbsX+/CjhCVM8PuPIU1+AN+8feeqLbpQW6WlZ+V7PW07B/Ys6VsH3Ch67sLgBHiU8oY6J85tjFSwjb9mr/DcCEJeZgJqaKs0tm8rFk7fMRwlPAHiWHEJ3+05yx8q7Xd7/vi7j9X69nLox9dxcVnTwZpX/RuqYOHM69ALv1WrH6dALrOjg/ebYAKdDL2Crb53vnOc9RmJOEsYaRkzx+IxV/huZ4vEZXpcW06pmszdlXIn0w0zbBKDQcvKe90cJT4jLTMBM24S4zIR85bze5/X7QL7fsWD5vZy6vYml4LF23/2HTlYdiv3cX+/7+vPKu39hn2lhP+f9vPPWncLqb2F1Lu82AKv8N9LE1pVOVh2KjKPgf4sqX1Hl2fe/QiSHKnb0+cl8lbCwnwv+/+v3876X9/W85RTcv6hjFXyvsPKLei846dmbYxX2B/X69eCkZ4W+XlSZhR0v77HyblfwvwWPkSnJevP+620KO7cFj19UTLHE53stIStRroyErMQif7fCPsPX2xd13l+/X/B3zLtPL6du+WLJe6y9947QyapDsZ/7631ff1559y94vJLqUlGfoSJ1Lu/rr+MoLDnkrecF62BR9VER5dn3v0I0KwmCIAhyRHIQBEEQ5IjkIAiCIMgRyUEQBEGQI5KDIAiCIEckB0EQBEGOSA6CIAiCHJEcBEEQBDkiOQiCIAhyRHIQBEEQ5IjkIAiCIMgRyUEQBEGQI5KDIAiCIKfazcqqqqpSrcotiYWuab5jF/YzvIov7//nfe+1wsopuH9Rxyr4XsFjFxZ3wWMXVkZhsRQXsyKKKquk7YuLoTSvK1puceUU9RmWRWGfc1HHKvg5laa+5aVIXSqu7MLKKGybol4reFxFfrfSKM++BVXVtaW8x1eRyWSyCo5FEARBqOZEs5IgCIIgRyQHQRAEQY5IDoIgCIIckRwEQRAEOSI5CIIgCHJEchAEQRDkiOQgCIIgyBHJQRAEQZAjkoMgCIIgRyQHwM/Pj4EDB9KnTx8mTpxIUlJSVYekMH9/fwYNGkS/fv0YM2YM4eHhVR1Sqa1evZq1a9dWdRglOnz4MD179qRbt25s3769qsMpldTUVHr37k1YWFhVh1Iq69ato1evXvTq1YulS5dWdTil8uOPP9KzZ0969erF1q1bqzqc0pMJsi5dusgeP34sk8lksmXLlslWrFhRxREprlOnTrL79+/LZDKZbM+ePbKJEydWcUSKS05Ols2aNUvWqFEj2Zo1a6o6nGK9fPlS1qlTJ1lCQoIsLS1N1qdPnzd1RtkFBATIevfuLXNzc5OFhoZWdTgKu3Tpkmzo0KGyrKwsWXZ2tmz06NEyX1/fqg5LIdeuXZMNGzZMlpOTI8vIyJB16tRJ9uTJk6oOq1TEnQNw9OhRXFxcyMnJISoqCkNDw6oOSSHZ2dl89dVX1KtXD4C6desSGRlZxVEp7tSpUzg4ODBu3LiqDqVEly9fpmXLlhgbG6Orq0v37t35999/qzoshezevZv58+djaWlZ1aGUioWFBTNnzkRTUxMNDQ2cnZ2JiIio6rAU0rx5c37//XfU1dWJi4tDIpGgq6tb1WGVikgOgIaGBg8fPqRDhw5cu3aNXr16VXVICtHU1KRfv34ASKVS1q1bR5cuXao4KsX179+fCRMmoKamVtWhlCg6OhoLC4s3P1taWhIVFVWFESlu0aJFNGvWrKrDKLXatWvTpEkTAJ4/f86xY8fo0KFDFUelOA0NDdasWUOvXr1o1aoVVlZWVR1SqbxTyeHYsWO0b98+37+xY8cCr751X758mUmTJjFlypSqDbQQxcWenZ3Nt99+S25uLp9++mnVBlqI4mKvLqRSKSoq/z/1sUwmy/ez8PY8fvyYjz76iOnTp+Pg4FDV4ZTK5MmTuXLlCpGRkezevbuqwymVareeQ3n06NGDHj165HstKyuLkydPvvnG3bdvX3744YeqCK9YhcUO1UltTwAAAnBJREFUkJaWxmeffYaxsTEbN25EQ0OjCqIrXlGxVyc1atTAz8/vzc8xMTHVrpmmOvL392fy5MnMnj272tzRAzx58oTs7Gzq16+Pjo4O3bp14+HDh1UdVqm8U3cOhVFXV2fhwoXcvXsXePUtt2nTplUcleKmTZuGvb09q1evRlNTs6rD+c9q3bo1V65cIT4+noyMDHx9fWnfvn1Vh/WfFhkZyeeff87y5curVWIACAsLw8vLi+zsbLKzszl16hQeHh5VHVapvFN3DoVRU1Nj1apVzJs3D4lEgpWVFYsWLarqsBQSFBTEqVOncHFxYcCAAcCrtvDNmzdXcWT/PVZWVkyZMoXRo0eTk5PDoEGDaNSoUVWH9Z/266+/kpWVxffff//mtWHDhjF8+PAqjEoxHTp04Pbt2/Tv3x81NTW6detW7RKcWAlOEARBkPPONysJgiAI8kRyEARBEOSI5CAIgiDIEclBEARBkCOSgyAIgiBHJAdBEARBjkgOgiAIghyRHAShHA4cOECXLl1IS0sjPT2dHj16cPDgwaoOSxDKTQyCE4Rymjp1KgYGBmRnZ6Ompoa3t3dVhyQI5SaSgyCUU2pqKv369UNbW5v9+/ejpaVV1SEJQrmJZiVBKKe4uDiysrJITk4mOjq6qsMRhAoh7hwEoRxycnIYNmwYw4YNQyqVsmfPHnbs2KGUU6cLQmmIOwdBKIeVK1dibm7O4MGDGTp0KCYmJqxataqqwxKEchN3DoIgCIIccecgCIIgyBHJQRAEQZAjkoMgCIIgRyQHQRAEQY5IDoIgCIIckRwEQRAEOSI5CIIgCHJEchAEQRDk/B9dP6ZhwEyjWQAAAABJRU5ErkJggg==\n", + "image/png": 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\n", 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" ] @@ -718,22 +692,22 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 21, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -757,22 +731,22 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 22, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -799,24 +773,121 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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sepal_lengthsepal_widthpetal_lengthpetal_widthspecies
05.13.51.40.2setosa
14.93.01.40.2setosa
24.73.21.30.2setosa
34.63.11.50.2setosa
45.03.61.40.2setosa
\n", + "
" + ], + "text/plain": [ + " sepal_length sepal_width petal_length petal_width species\n", + "0 5.1 3.5 1.4 0.2 setosa\n", + "1 4.9 3.0 1.4 0.2 setosa\n", + "2 4.7 3.2 1.3 0.2 setosa\n", + "3 4.6 3.1 1.5 0.2 setosa\n", + "4 5.0 3.6 1.4 0.2 setosa" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "iris = sns.load_dataset(\"iris\")\n", + "iris.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 23, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -824,8 +895,7 @@ } ], "source": [ - "iris = sns.load_dataset(\"iris\")\n", - "sns.pairplot(iris)" + "sns.pairplot(iris, hue='species')" ] }, { @@ -837,16 +907,16 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 24, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, @@ -866,13 +936,6 @@ "g.map_diag(sns.distplot)\n", "g.map_offdiag(sns.kdeplot, cmap=\"Blues_d\", n_levels=6)" ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note on this error about kwargs: https://stackoverflow.com/questions/3394835/args-and-kwargs." - ] } ], "metadata": { From f02d442facaa4a5b1b90aed00a001dff9e2f5c49 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Wed, 14 Nov 2018 13:34:38 -0800 Subject: [PATCH 49/78] updates after Plotting-palooza --- lessons/lesson13.ipynb | 219 ++++++++++++++++++++------------------- lessons/lesson14.1.ipynb | 113 +++++++++----------- lessons/lesson14.2.ipynb | 153 ++++++++++++++++++--------- lessons/lesson14.3.ipynb | 56 +++++----- lessons/lesson14.4.ipynb | 6 +- lessons/lesson14.5.ipynb | 43 ++++---- 6 files changed, 324 insertions(+), 266 deletions(-) diff --git a/lessons/lesson13.ipynb b/lessons/lesson13.ipynb index 7cedf33..45bdc09 100644 --- a/lessons/lesson13.ipynb +++ b/lessons/lesson13.ipynb @@ -358,16 +358,6 @@ "execution_count": 11, "metadata": {}, "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Title')" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, { "data": { "image/png": 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\n", @@ -392,7 +382,7 @@ "axes[1].plot(x, y, 'b')\n", "axes[1].set_xlabel('X')\n", "axes[1].set_ylabel('Y')\n", - "axes[1].set_title('Title')" + "axes[1].set_title('Title');" ] }, { @@ -403,8 +393,8 @@ { "data": { "text/plain": [ - "array([,\n", - " ],\n", + "array([,\n", + " ],\n", " dtype=object)" ] }, @@ -457,6 +447,37 @@ "fig.tight_layout()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Although we prefer to create figure and axes objects using `plt.subplots()` and then plot using `ax.plot()`, we can use `plt.plot()` directly. It will automatically create the figure and axes for us, but we won't have handles to make changes to them:" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(x, y)\n", + "plt.xlabel('x')\n", + "plt.ylabel('y');" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -470,7 +491,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -496,7 +517,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -534,7 +555,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -550,7 +571,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -593,7 +614,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -611,7 +632,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -630,7 +651,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -648,7 +669,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -668,16 +689,16 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 22, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -700,7 +721,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -744,7 +765,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -780,7 +801,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -790,7 +811,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -826,7 +847,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -836,7 +857,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -872,7 +893,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -882,7 +903,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -911,7 +932,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -934,16 +955,16 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 32, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" }, @@ -977,16 +998,16 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 33, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" }, @@ -1027,7 +1048,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -1046,18 +1067,19 @@ "source": [ "fig, ax = plt.subplots(figsize=(12,6))\n", "\n", + "# different linewidths\n", "ax.plot(x, x+1, color=\"blue\", linewidth=0.25)\n", "ax.plot(x, x+2, color=\"blue\", linewidth=0.50)\n", "ax.plot(x, x+3, color=\"blue\", linewidth=1.00)\n", "ax.plot(x, x+4, color=\"blue\", linewidth=2.00)\n", "\n", - "# possible linestype options β€˜-β€˜, β€˜--’, β€˜-.’, β€˜:’, β€˜steps’\n", + "# possible linestyle options β€˜-β€˜, β€˜--’, β€˜-.’, β€˜:’, β€˜steps’\n", "ax.plot(x, x+5, color=\"red\", lw=2, linestyle='-')\n", "ax.plot(x, x+6, color=\"red\", lw=2, ls='-.')\n", "ax.plot(x, x+7, color=\"red\", lw=2, ls=':')\n", "\n", "# custom dash\n", - "line, = ax.plot(x, x+8, color=\"black\", lw=1.50)\n", + "line = ax.plot(x, x+8, color=\"black\", lw=1.50)[0]\n", "line.set_dashes([5, 10, 15, 10]) # format: line length, space length, ...\n", "\n", "# possible marker symbols: marker = '+', 'o', '*', 's', ',', '.', '1', '2', '3', '4', ...\n", @@ -1091,7 +1113,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -1139,7 +1161,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -1179,7 +1201,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -1201,7 +1223,8 @@ "ax.plot(x, x**2, x, x**3, lw=2)\n", "\n", "ax.set_xticks([1, 2, 3, 4, 5])\n", - "ax.set_xticklabels([r'$\\alpha$', r'$\\beta$', r'$\\gamma$', r'$\\delta$', r'$\\epsilon$'], fontsize=18)\n", + "ax.set_xticklabels([r'$\\alpha$', r'$\\beta$', r'$\\gamma$', r'$\\delta$', r'$\\epsilon$'], \n", + " fontsize=18)\n", "\n", "yticks = [0, 50, 100, 150]\n", "ax.set_yticks(yticks)\n", @@ -1231,7 +1254,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -1273,7 +1296,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -1311,7 +1334,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -1336,7 +1359,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -1378,7 +1401,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -1419,7 +1442,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -1462,7 +1485,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -1504,7 +1527,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -1549,7 +1572,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 47, "metadata": {}, "outputs": [], "source": [ @@ -1558,12 +1581,12 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 48, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1599,7 +1622,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -1632,12 +1655,12 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 50, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1670,19 +1693,9 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 51, "metadata": {}, "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - }, { "data": { "image/png": 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\n", @@ -1713,7 +1726,7 @@ "plt.title('Scores by group and gender')\n", "plt.xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5'))\n", "plt.yticks(np.arange(0, 81, 10))\n", - "plt.legend((p1[0], p2[0]), ('Men', 'Women'))" + "plt.legend((p1[0], p2[0]), ('Men', 'Women'));" ] }, { @@ -1725,19 +1738,9 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 52, "metadata": {}, "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 51, - "metadata": {}, - "output_type": "execute_result" - }, { "data": { "image/png": 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\n", @@ -1768,7 +1771,7 @@ "plt.title('Scores by group and gender')\n", "plt.yticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5'))\n", "plt.xticks(np.arange(0, 81, 10))\n", - "plt.legend((p1[0], p2[0]), ('Men', 'Women'))" + "plt.legend((p1[0], p2[0]), ('Men', 'Women'));" ] }, { @@ -1780,7 +1783,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -1819,7 +1822,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -1865,7 +1868,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -1895,7 +1898,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -1933,7 +1936,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 57, "metadata": {}, "outputs": [], "source": [ @@ -1942,7 +1945,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -1984,7 +1987,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 59, "metadata": {}, "outputs": [ { @@ -2034,7 +2037,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 60, "metadata": {}, "outputs": [], "source": [ @@ -2047,7 +2050,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 61, "metadata": {}, "outputs": [], "source": [ @@ -2066,7 +2069,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 62, "metadata": { "scrolled": true }, @@ -2100,7 +2103,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 63, "metadata": {}, "outputs": [ { @@ -2134,7 +2137,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 64, "metadata": {}, "outputs": [ { @@ -2169,7 +2172,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 65, "metadata": {}, "outputs": [], "source": [ @@ -2185,7 +2188,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 66, "metadata": {}, "outputs": [ { @@ -2224,7 +2227,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -2257,7 +2260,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 68, "metadata": {}, "outputs": [ { @@ -2328,7 +2331,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 69, "metadata": { "scrolled": false }, @@ -2355,7 +2358,7 @@ }, { "module": "scipy", - "version": "The 'scipy' distribution was not found and is required by the application" + "version": "1.1.0" }, { "module": "matplotlib", @@ -2364,7 +2367,7 @@ ] }, "text/html": [ - "
SoftwareVersion
Python3.7.0 64bit [Clang 6.1.0 (clang-602.0.53)]
IPython7.0.1
OSDarwin 16.7.0 x86_64 i386 64bit
numpy1.15.2
scipyThe 'scipy' distribution was not found and is required by the application
matplotlib3.0.0
Tue Nov 06 16:12:54 2018 PST
" + "
SoftwareVersion
Python3.7.0 64bit [Clang 6.1.0 (clang-602.0.53)]
IPython7.0.1
OSDarwin 16.7.0 x86_64 i386 64bit
numpy1.15.2
scipy1.1.0
matplotlib3.0.0
Wed Nov 14 10:44:01 2018 PST
" ], "text/latex": [ "\\begin{tabular}{|l|l|}\\hline\n", @@ -2373,9 +2376,9 @@ "IPython & 7.0.1 \\\\ \\hline\n", "OS & Darwin 16.7.0 x86\\_64 i386 64bit \\\\ \\hline\n", "numpy & 1.15.2 \\\\ \\hline\n", - "scipy & The 'scipy' distribution was not found and is required by the application \\\\ \\hline\n", + "scipy & 1.1.0 \\\\ \\hline\n", "matplotlib & 3.0.0 \\\\ \\hline\n", - "\\hline \\multicolumn{2}{|l|}{Tue Nov 06 16:12:54 2018 PST} \\\\ \\hline\n", + "\\hline \\multicolumn{2}{|l|}{Wed Nov 14 10:44:01 2018 PST} \\\\ \\hline\n", "\\end{tabular}\n" ], "text/plain": [ @@ -2384,12 +2387,12 @@ "IPython 7.0.1\n", "OS Darwin 16.7.0 x86_64 i386 64bit\n", "numpy 1.15.2\n", - "scipy The 'scipy' distribution was not found and is required by the application\n", + "scipy 1.1.0\n", "matplotlib 3.0.0\n", - "Tue Nov 06 16:12:54 2018 PST" + "Wed Nov 14 10:44:01 2018 PST" ] }, - "execution_count": 68, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } diff --git a/lessons/lesson14.1.ipynb b/lessons/lesson14.1.ipynb index 1e0c911..45d68eb 100644 --- a/lessons/lesson14.1.ipynb +++ b/lessons/lesson14.1.ipynb @@ -104,6 +104,25 @@ "cell_type": "code", "execution_count": 6, "metadata": {}, + "outputs": [], + "source": [ + "import seaborn as sns" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# switch to seaborn defaults\n", + "sns.set()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, "outputs": [ { "data": { @@ -117,10 +136,6 @@ } ], "source": [ - "import seaborn as sns\n", - "\n", - "# switch to seaborn defaults\n", - "sns.set()\n", "sinplot()" ] }, @@ -132,17 +147,21 @@ "\n", "Seaborn splits matplotlib parameters into two independent groups. The first group sets the aesthetic style of the plot, and the second scales various elements of the figure so that it can be easily incorporated into different contexts.\n", "\n", - "The interface for manipulating these parameters are two pairs of functions. To control the style, use the `axes_style` and `set_style` functions. To scale the plot, use the `plotting_context` and `set_context` functions. In both cases, the first function returns a dictionary of parameters and the second sets the matplotlib defaults.\n", - "\n", - "\n", + "The interface for manipulating these parameters are two pairs of functions. To control the style, use the `axes_style` and `set_style` functions. To scale the plot, use the `plotting_context` and `set_context` functions. In both cases, the first function returns a dictionary of parameters and the second sets the matplotlib defaults." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ "### Styling figures with `axes_style` and `set_style`\n", "\n", - "There are five preset seaborn themes: ``darkgrid``, ``whitegrid``, ``dark``, ``white``, and ``ticks``. They are each suited to different applications and personal preferences. The default theme is ``darkgrid``. As mentioned above, the grid helps the plot serve as a lookup table for quantitative information, and the white-on grey helps to keep the grid from competing with lines that represent data. The ``whitegrid`` theme is similar, but it is better suited to plots with heavy data elements:" + "There are five preset seaborn themes: `darkgrid` (default), `whitegrid`, `dark`, `white`, and `ticks`. They are each suited to different applications and personal preferences. As mentioned above, the grid helps the plot serve as a lookup table for quantitative information, and the white-on grey helps to keep the grid from competing with lines that represent data. The `whitegrid` theme is similar, but it is better suited to plots with heavy data elements:" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -157,61 +176,31 @@ " [ 1.13731585, 0.29993136, 1.98293321, 0.43116569, 1.89488735,\n", " 1.5665543 ],\n", " [ 0.37892569, 0.32892184, 0.49832548, -0.10304403, 2.06510083,\n", - " 2.69116086],\n", - " [-0.66920923, -0.58088412, 0.59611132, 3.30575676, 3.20531154,\n", - " 2.40979019],\n", - " [ 0.52448246, 0.79002931, 0.33452638, 0.25767919, 1.44914163,\n", - " 1.25721224],\n", - " [-0.10996288, 0.67140701, 0.65084974, 1.79305109, 2.79651242,\n", - " 1.18214425],\n", - " [ 2.35663418, -0.81431246, -0.55036182, 0.78515772, 3.89248445,\n", - " 2.13327079],\n", - " [ 1.67811696, 0.54806375, 1.78530229, 2.05304121, 1.22106051,\n", - " 3.50759657],\n", - " [-0.47731063, -1.33317443, 0.75998427, 1.64008189, 2.2505344 ,\n", - " 2.38809898],\n", - " [-1.66141717, 0.1301824 , -1.6507159 , 2.32107706, 1.81272685,\n", - " 3.13004891],\n", - " [-0.50479809, -0.81580286, 1.63682301, 1.22489375, 4.5090617 ,\n", - " 1.35874188],\n", - " [ 1.35761983, 0.40155948, 1.07699186, -0.32231095, 3.03982627,\n", - " 2.13841975],\n", - " [-1.10324139, -0.37038144, 1.75178333, 1.51099683, 3.5814129 ,\n", - " 2.41845365],\n", - " [-1.73261607, 0.34837884, 0.10872178, 1.32224656, 1.06883336,\n", - " 1.49099132],\n", - " [-0.16522382, 0.86500033, 0.03285366, 1.32297166, 0.57209409,\n", - " 2.96647196],\n", - " [-0.36831025, 2.21999464, 0.20901714, -0.05432129, 1.33930154,\n", - " 2.08025704],\n", - " [-0.42431996, -0.68862989, 0.49011345, 2.83584393, 2.21008733,\n", - " 1.30686016],\n", - " [ 0.14623715, 0.78818687, 0.5975404 , 0.63173979, 1.21414596,\n", - " 3.60836031]])" + " 2.69116086]])" ] }, - "execution_count": 7, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data = np.random.normal(size=(20, 6)) + np.arange(6) / 2\n", - "data" + "data[:5]" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 8, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, @@ -240,7 +229,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -261,7 +250,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -289,7 +278,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -319,7 +308,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -347,7 +336,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -384,7 +373,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -415,7 +404,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -450,7 +439,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -489,7 +478,7 @@ " 'axes.spines.top': True}" ] }, - "execution_count": 16, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -507,7 +496,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -528,7 +517,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -567,7 +556,7 @@ " 'axes.spines.top': True}" ] }, - "execution_count": 18, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -589,7 +578,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -605,7 +594,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -627,7 +616,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -649,7 +638,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -682,7 +671,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "metadata": {}, "outputs": [ { diff --git a/lessons/lesson14.2.ipynb b/lessons/lesson14.2.ipynb index 3502da7..85a2d97 100644 --- a/lessons/lesson14.2.ipynb +++ b/lessons/lesson14.2.ipynb @@ -51,7 +51,7 @@ "\n", "The most important function for working with discrete color palettes is `color_palette`. This function provides an interface to many (though not all) of the possible ways you can generate colors in seaborn, and it's used internally by any function that has a `palette` argument (and in some cases for a `color` argument when multiple colors are needed).\n", "\n", - "`color_palette` will accept the name of any seaborn palette or matplotlib colormap (except `jet`, which you should never use). It can also take a list of colors specified in any valid matplotlib format (RGB tuples, hex color codes, or HTML color names). The return value is always a list of RGB tuples.\n", + "`color_palette` will accept the name of any seaborn palette or matplotlib colormap (except `jet`, [which you should never use](http://medvis.org/2012/08/21/rainbow-colormaps-what-are-they-good-for-absolutely-nothing/)). It can also take a list of colors specified in any valid matplotlib format (RGB tuples, hex color codes, or HTML color names). The return value is always a list of RGB tuples.\n", "\n", "Finally, calling `color_palette` with no arguments will return the current default color cycle.\n", "\n", @@ -184,7 +184,7 @@ } ], "source": [ - "for variation in ['deep','muted', 'pastel', 'bright', 'dark', 'colorblind']:\n", + "for variation in ['deep', 'muted', 'pastel', 'bright', 'dark', 'colorblind']:\n", " current_palette = sns.color_palette(variation)\n", " sns.palplot(current_palette)" ] @@ -267,9 +267,9 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -277,7 +277,7 @@ } ], "source": [ - "sns.palplot(sns.color_palette(\"hls\", 8))" + "sns.palplot(sns.color_palette(\"hls\", 12))" ] }, { @@ -438,12 +438,14 @@ { "cell_type": "code", "execution_count": 15, - "metadata": {}, + "metadata": { + "scrolled": false + }, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, "execution_count": 15, @@ -492,7 +494,42 @@ ], "source": [ "colors = [\"windows blue\", \"amber\", \"greyish\", \"faded green\", \"dusty purple\"]\n", - "sns.palplot(sns.xkcd_palette(colors))" + "palette = sns.xkcd_palette(colors)\n", + "sns.set_palette(palette)\n", + "sns.palplot(palette)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The color palette set by `sns.set_palette()` will then be the default:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot([0, 1], [0, 0], lw=3)\n", + "plt.plot([0, 1], [0, 1], lw=3)\n", + "plt.plot([0, 1], [0, 2], lw=3)\n", + "plt.plot([0, 1], [0, 3], lw=3)\n", + "plt.plot([0, 1], [0, 4], lw=3);" ] }, { @@ -503,16 +540,16 @@ "\n", "The second major class of color palettes is called \"sequential\". This kind of color mapping is appropriate when data range from relatively low or unintersting values to relatively high or interesting values. Although there are cases where you will want discrete colors in a sequential palette, it's more common to use them as a colormap in functions like `kdeplot` or `corrplot` (along with similar matplotlib functions).\n", "\n", - "It's common to see colormaps like ``jet`` (or other rainbow palettes) used in this case, becuase the range of hues gives the impression of providing additional information about the data. However, colormaps with large hue shifts tend to introduce discontinuities that don't exist in the data, and our visual system isn't able to naturally map the rainbow to quantitative distinctions like \"high\" or \"low\". The result is that these visualizations end up being more like a puzzle, and they obscure patterns in the data rather than revealing them. The jet palette is [particularly bad](http://cresspahl.blogspot.com/2012/03/expanded-control-of-octaves-colormap.html) because the brightest colors, yellow and cyan, are used for intermediate data values. This has the effect of emphasizing uninteresting (and arbitrary) values while demphasizing the extremes.\n", + "It's common to see colormaps like ``jet`` (or other rainbow palettes) used in this case, becuase the range of hues gives the impression of providing additional information about the data. However, colormaps with large hue shifts tend to introduce discontinuities that don't exist in the data, and our visual system isn't able to naturally map the rainbow to quantitative distinctions like \"high\" or \"low\". The result is that these visualizations end up being more like a puzzle, and they obscure patterns in the data rather than revealing them. The jet palette is [particularly bad](http://medvis.org/2012/08/21/rainbow-colormaps-what-are-they-good-for-absolutely-nothing/) because the brightest colors, yellow and cyan, are used for intermediate data values. This has the effect of emphasizing uninteresting (and arbitrary) values while deemphasizing the extremes.\n", "\n", "For sequential data, it's better to use palettes that have at most a relatively subtle shift in hue accompanied by a large shift in brightness and saturation. This approach will naturally draw the eye to the relatively important parts of the data.\n", "\n", - "The Color Brewer library has a great set of these palettes. They're named after the dominant color (or colors) in the palette." + "The [Color Brewer](http://colorbrewer2.org) library has a great set of these palettes. They're named after the dominant color (or colors) in the palette." ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -539,7 +576,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -566,7 +603,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -604,7 +641,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -633,7 +670,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -660,7 +697,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -687,7 +724,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -714,7 +751,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -724,7 +761,7 @@ " array([ 0.34208098, -2.52029976, 1.44056054, -0.2604635 , 0.94806489]))" ] }, - "execution_count": 24, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -736,7 +773,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -750,10 +787,10 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 25, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, @@ -786,7 +823,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -806,7 +843,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -833,7 +870,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -860,7 +897,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -888,7 +925,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -908,12 +945,12 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 32, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -923,7 +960,7 @@ } ], "source": [ - "sns.palplot(sns.dark_palette(\"muted purple\", input=\"xkcd\"))" + "sns.palplot(sns.dark_palette(\"vomit green\", input=\"xkcd\"))" ] }, { @@ -943,14 +980,14 @@ "\n", "The rules for choosing good diverging palettes are similar to good sequential palettes, except now you want to have two relatively subtle hue shifts from distinct starting hues that meet in an under-emphasized color at the midpoint. It's also important that the starting values are of similar brightness and saturation.\n", "\n", - "It's also important to emphasize here that using red and green should be avoided, as a substantial population of potential viewers will be `unable to distinguish them `_.\n", + "It's also important to emphasize here that using red and green should be avoided, as a substantial population of potential viewers will be [unable to distinguish them](http://en.wikipedia.org/wiki/Color_blindness).\n", "\n", "It should not surprise you that the Color Brewer library comes with a set of well-choosen diverging colormaps." ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -970,7 +1007,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -997,7 +1034,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -1031,7 +1068,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -1051,7 +1088,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -1078,7 +1115,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -1105,7 +1142,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -1134,7 +1171,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 40, "metadata": {}, "outputs": [], "source": [ @@ -1146,12 +1183,12 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 41, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -1161,7 +1198,7 @@ } ], "source": [ - "sns.set_palette(\"husl\")\n", + "sns.set_palette(\"Reds\")\n", "sinplot()" ] }, @@ -1174,7 +1211,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -1194,11 +1231,33 @@ ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], - "source": [] + "source": [ + "The default palette set by `sns.set_palette()` before the `with` statement is unchanged:" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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Z87MJq3c3en6Y3JJNYznvhsxVbCgC5BaeC0IQP/Ta6RQ1NHWr5IVb8K349mXIZNGKl3m/X02AMW5u43yc5gXED79R1Tg/x0hgyFzkl59FmP2H0Auj5LvWjb8mc7iahdIqn/ebX7AOTTrEeneHFyZeHDQTGQKzivjR7bjJFpzWxQAIJf1+NQF0iIqlKMxfTaxnF1ph9jWjq1slbx3fN2EbDuO56u4pAiYnk+9cg+bkMAe7Q8vj6gl0JdFUlCY3W4gf2YqMpXDa/AcY5cdNKt7pFZHpdtxUG7HubaF/xEUxCyty6c0e9MwAxmgfhfmrxqx2w/W/n6BtSvKLNoBS/j0yy6hfJd+zGzfZjEyNV7WaMu9badNlTZTBaVmEZ8T8LXlISpH4yFKbHeiZfszhoxQ6145tw/2sCe+UWROTEIL8grUYuSGMoaOhZXL1OIYsRLu9WUKsZxdKaNgdK8ZeM2UxvTagIeDF0jgtC/xK+ln2/dalklejg5gjvdgdK8f9Zkr5vrSAXw4Amo7dsRyr7wDCLYSSSWoxPITvsomYceJHtqI0ncL81WOvlazoMPeI3b4cz4gRr8JSc/U4AoXuVZd3H1EDPA+rdw9O66IJjcYMN4erx0L1pLE7VqDbGYzhY7WUtGrqU8kf3I5CUChGw+FEKy1cN8jCvFUI5WH17gsn1Fhb2Wg7PuNIF+v4PgrtK1DmeGsLU+ZRiMntLiqh+INh9h9EhPS7lqzDyGUz85gDh9CcPIV540aAn16bryh1shx26xKUZmD17KmRlLWh/pS8UqiD23Cbu1Cx8Yk+47mt4dp/ylQrbrKlqgpYV4+je4Vo3NsMYw4eRngudseyCa8bslC00sK1mS7MX4VAYYXsV+JpZnGISKTkZ5rYsZ14ZgKnZcHYa7pX8NNrQyp5dMPPxOrbV1VKdq2pOyVvDPdAdoRCx8qJr8vKc1vLIgT2vJUYo8fRsuEKXxw94Tcriyy1GcU6vg/PiOE2dY6/GDLoeiJeogk32RJayfu7vXh0f8wwws5hDhymMG/lBLeMGTJx40QK81agSQdz4FDVctaKulPyVu9uMEzsUsZEEdMNlttajkLHChQitDXvRtvxmUe6WP2HsNuWTHiAdc9GoKpS8gB22xKM4R6EHS72UtrtVZOuG1Edsd7dCBSFeasmvG7IAp7Q8UT4MRtuUyeelSDWO3tcNvWl5Iu+VrFg5YQRbUJ56J5d9QOsrAROy0Ks3j2hIuRK05HC8DMoImYEc/CI76ppWzrh9dIPb9CsiZNx2pciILQ17wdfie6RGcTqO4CbasNLNk143d/phXfnASA0Cu0rMAcOIZzZYezVlZIXnosyLMTy8ya8ro8VQVU/jstuW4puZ9Ez/aHW+2lys+PLPRsZd9V0TXi95M7ztOqmM8lEMzLRGFrJR8HXmUXYOfSRXn/uxInUyFAEsOetQChVkzbVtaAmSv4LX/gCn/zkJ2txqmlRZpyhi96BaJk4lq1kFdXiC3JaFvr94UP61Fw9hu450aSomcCTWAOHsFuXgDbx1g7S02hainODjaFjoSw1VWyBESn5mcEcOOQbhCcpeUMWEPjPb7XIZAsy3ojZf7Dqc9WCqpX8008/zf33318LWSqjzENa8qVN1eA/CMpKINPtWCG/oHG/fLQdP9OYA4cR0sFpn+iqCdzT6BTYbUuLWTYHQq139Xg0ZGaGsPoPIq3UWEPDErU0FBECp2Uh5tBRkDM/wL0qJT84OMjdd9/NBz7wgVrJE4oxX1qNsFsXY4z2hQquleTQIyV/xrH69uMZFs4kV03JSquNkpepVmQ8jVmFktc9J+pIeabxJOZgN07roknGoiHzeEKrKuh6InbrIoTyfEU/w1Sl5D/72c/yx3/8xzQ2NtZKnlMiClnUcD9idBCRHa6pL62E07oICOeyibbjM4TyMPsP+ttwz8U4tAO97whQu6DrGEWXjTl0JFSFdClFL7pHzizmYDfCc3Ea5qP3HkQbHRjLZ/drKGrgziviNs5HacasSKUM/bP1ve99j66uLq644gruu+++wOvb2tKB16jMMN7ffxbPdRjbbK06DzZcSLJzBal0Q+Bzlr1Oexpve5p05ih6x4XB17spdLtAosOXp6OjNnKdKepJ3pKs3vEjqN6jxHp6iD3y/fG2wPMXI5afg1qykvb5LdOcKRhKX4t3+HVa5QBa1+pTLzhBViWTsPcQTXGFaJ29n3U93gfTIQ92Q38/DT+5F7In9H5vnY+48EqMNRfS0V679yznLSY+1E2yPY046cfjTH62oZX8j3/8Y3p7e7njjjsYGhoim83yV3/1V3zqU5+qaH1f3yieFzBNUSnMN/02jYbL6EgebXSA+Mu/hP3byVw+Qv7ca0L1nChHsmkhsWO76T02CAHa0gIkXIOkM0RfzxDt85ro7Z2dwwTK0dHRUDfyjsmqPBp/+i2MQ/uRTe04667EWXwO2nAfsR0vYDzzc9SW5xgw5+E1ttfm4ipJs25iH9hDNtZ5ysNP/lybNRM5PMSIDG7snAnq8j6YBuPwLhp+/h+IfA5nwSoKV96JcPKI3Ajxrc+g/eL75AeGyVz8tklB+7DEUp2kju5lYP/BCTGAsJ+tpolQxnFoJf+Nb3xj7P/33Xcfzz33XMUKPjRCw1l+HlpHA4Xih6QtXUHsyR+SfPw+tKE+slfdWZNLOS2LiB/djjl0FKdlYaC1rh5DEPnlzwjSJfXLb2Hs24rXtZShOz464Ye+sOFqWvc8AY/8iIYH7mHkjj+sjaIXGm5TF+bQEb+mIuA2X+oxjJDN8CKCofcdpuHHf4fQBLkr3kZu45smfF/qnI2kHvt3Yi/+Aq37ACO3/T4YISvnT8BuWUgKPyHg5EDvmaSu8uTLYaQSuG/+DfIbriH+6qNYO16oyXmd5i7fpxYiyyaqfD0zKM8j/dN7ie16CdW5kMIF10/ayRmygNbeSe7W9yKcAg0P3IM2fLwm13eaF6AXMmj54EOcXS2GrqJU29ONyA6T/vHXULqBWrma/PqrJwdddQFXvpXR696FeWQnySe/X5Nrq1gKN9Uy4375mij5O++8k7vuuqsWpwqGUhjSxjUSZK/8VZyulaQe/Tf0vsPVn1vTcZq7/C8oYPWrH3zVIyV/mlHPPoR14A3ym25EzJtfdsele761bM9fzsjtH/IV/Y+/VpMGUk6zn8UTZtjMeBZW1Hb4tOHaNPzk62j5LHLtRmTLApQ1ufmYIf0aCnv9FeQuuJH4G09i7t5cExGclkV+Gwx35r7nurbkS/1IpB4DXWf0Lb+DiiVJ//ReRKH6WZrjllpw/5ksDYiIOC1oQ72oh+/HXroB2jtQmoHb0DHpOEMW/EpXYSA7FpG56f9FHzjmx3KqxEs0ImNpzMEjgdfKopKP7pHTR+rxf0fvOcDoje/BwB77UZ5AyVAs7r5zl74Nd95SUo/8G9pwX9UyOC2LECiMEPdIrahrJT9ewOA/MCrZyOhbfhdtdJDkU9VvuZxiF8Mwua5+5auNinKha4/ySD3yb6DrZK79Ncyhbv8BLhMwM2TBV6jFLbqzdD2FlReQePFBtKHq3TZO8wL//vCCNRzzhIEntGi3d5rQj+0ntu1Z8ptuhNZ5CKXGnucJxxXbC4/V2eg6o2/+bUCQfuifQFb3/LoN7XiGhTVQA+9CSOpcyZeGQIwHSdzO5RQ2XIO1/Tm0/uoKEbxEE54ZDzXyrdSIikI0KarWxN54GvPILsSbfwOha+j50SmtNF3akwrlslfdCZpG6vHvVT2qzWnuQkgHYzTgD4YQvl/eiyz5mqMUyafux0s0kLvwLRhD3Sih4TbMm3RouUpXr7GN7HW/jtGzH2vHc9XJIjTcxvkYwzNXFFXnSr78EIjchW8GwyL53H9WdwEhcJo6MYePBlYGY4olZEvaiPKI3CjJpx/AWbgGsemaMX+407xg0rGactDwJil5lWoie9nbMA9uw6rS9+o2dfm9jkK6bAxpz7qZoPWOuecVzKN7yV16K1hxzKGjuA3toE9OJvTdeWJS4zp75SbceUtJvPCzquM3TlMnen409ESxaqlfJa8UeknJn/ynRJrcBTdh7d2CcXRvVZdxmzrR7FzgDApPGHhokSVfY+JbHgXHJnP1OxBCYA4eQcZSePHJVdclK63cuL/CuVfjdiz23XpVPMTKjCHTbaF8rn6qbTTztaZIl+QzP8Rt6aSw9jKEa6OP9k/qSlriZHfeGEKQu+QW9NEBYlufrkokt9FvqGgOzczs17pV8ppXstLKl6rnN16Pl2gg8cwPq7KUxv3yAb8gIfybx64+ABxRxM4T2/I4zvLz8Fo7UcrDGOr2rfgpGtcpwNXL5DxrGrlLbkXLDGHteqkqsZzmBRgjxwNnUER9jmpP7LUn0IePk7vy7aDpGMPH/JF+ZfzxKFVsXFe+75WzeC1O5woSLz0EVWTHyFQLnm7OmMumbpW84U1tpQFgxshd/FbM7t2YB94IfR0v3ohnJjCGwqTJWWDno+14jYi/8RSanSO36U3+C0N9aNKZOObvBHRZ8OM1U1RBO0vW4bZ2+Zk21RgCzQv8DIqAsRupWSjG7+WIKpEuic0P4Sxag7NkHeCntypNL5t5pSkXTXlTjwwVgtylviEQe/3J8HIV/fKRJR8QXdpTW2lFCuuuQDa0Et/8i/AXKvnlh44FVgRSi4En0dTsGepbt0iX+CsP4yxcjZzvtxJWxQZkpe3wyYxtxadCCPIbb8Do78Y8uC20aG5DB0poGCM9wRYKfyZxlEZZG6zdm9Fyo+QuuGnsNWP4qK/gy7QmKdUoTNfB1l24GmfhahKbfw5O+O/JbepEzw/XJLU7KHWr5A2v4AdLputVoxsUzr0Ks3s3en9wS7yE29SJ5uTQcsH88tF2vHbEtj+Hlh32g+ol+rp9f3wsNel4oSS6cnGn2ukVsVdfhJdqqi5vXtNx023+kPmAuHosuj9qRHzL48jmebiL1gAgnDxGZqC8q4YKvAFFchffgpYbJbYzvFvPKfnlZ8BlU7dKXpc27lTbrBMorL0cpelVbbfC5svL4i7DiKoaq8PziG/+BW7HYtyF/gOMUqj+I1Na8fpJNRRTohvkz7sW8/AO9N7w5edu4zyM0b7AQVypx9CVRHjRbq8a9J79GD37yW8Yb1JoDPvukamCrrosIIWBOkUDQrdrBW5rF7GtT4WWT6Zbfb/8DLhs6lLJK8/vIT/tVrx0bCKNvfICrB3Ph95uefEGpJUM7HNVQgfDinKhq8Q8uNUPpm26aSzAquVHIJ8tm/sMJ2TWVHCPFNZfiTJjxF8Jb827DfMQyvMVfZB1pcrX6B6piviWx1FmjMI5l469Zg4d9Suh021l1xjSHjPEpkUICuuvxOg5EN4QEBpu4zzM4UjJV4bjD+4+1Va8ROHcq9HsPLGdL4a7nhC4IfPlsRKRz7VKrO3P4cVTOMvGB7iX/N9u49RK3hM6njh1m2gVS1JYeznW7s2I3GgoGUtyBPXLl+7h6B4Jj8oMY+16yVfw1ni2nTF0DLexvD/ez6yxK9Yh9pqLUbpZlTXvNnai54ZQ+TObL1+fSr6Ye17RrzB+Fazb2uW7bEJmUbiN89GcfPCOg7GEnwcdZdiEQuQzWHu3YK++eEIxizHUA2YMmWwuu24sNa7CFsCFdZchPC90OqUy48hE05iLoOJ1xWZ2kV8+POqlxxCe9F01JVwbPTuIM8VOb0Lfq0quEUtir7yA2I4XQnsEnCbftVhKGDhT1KeSt3OT2hlMixAUzr0a4/gh9J79oS7pNvopWMZIb7CFVsLvLR8VvITC2vUSwpMU1l464XVz5Bi0dpVX4sWmUxXfH4BsW4jbttB/iEPiNM7DGO4NnoVVqnyNCI7yUC89irNwDV7LeHzGGD3u96QpkzoJAWI2J1BYfyXCKWDtClclLVNtKM2AvjMbfK1bJe/nP1c+qKGw5mLf7/pGuO2WTDQXCxqCK3mItuNhiW17FrdtIbJ90dhrwsmj54YRbeUDaprnTGw6VSH2mosxevajDYTzm7qN89Gkb0EGQWqxaLcXEqN7Lwz1UVh72cTXR3pRgJxCyRuen4ItT2pnMB1u53Lcls7QOgRNI7PyCsSCleHWh6Rulfx0+fFlseI/FaeBAAAgAElEQVTYKzZi7nk1XBm7EMiGDozRoEo+joIo+BoCve8IRu/BSVZ8ySUi2ib3qwH/AQYCWfIAhdUXoYQgtuP5ENKe4JcPmErp6hYCheY5oa57NmPtegkMC3v5eRNeN0Z6kclm1BQTnk5VKFcWISisvwKjZ3/omRX2vBWI9vL37emi7pS8UBJcp2Jf2onYKzeh2bnQhS9uQwd6ZnB8SHQFCCGKBS/Rdjwo1vbnUZrm++NPwBjuQQkNmqfwtxY/60pjNiVUqgln0Vp/upgK1joYwIul/erogMHX0o+REbn0guFJrN0vI9ZsBPMEfaAUxnDvlK4aqKBQbgrs1RejhBbaZTMT1J2SH6tSC2ilATiLzsGLJUMH19yGDr98PWBb2ajgJQSeJLbjeZyl56ISE4cXm8PHcBvaEXr5zBndK+Y/V5BZczL2movRRwcwjuwOLrMQfr58wOCrjIrmQmEe2oGWH0VsmOiq0XJDaNKeUsmPF8oF1yEqkcZduApr98t1416rOyUfJP95ErqOvfx8rH2vhWo45Db4A6CDBl/9ghc3mucZAPPQDrTcyIS8ZwCk43cVnKIICgLkP5fBXn4+yoyFdtk4jfP8aWIB2soqoSGFEQXnA2LtegnPisOqya4aYMoaivGdXggdgu8R0Id60c9wlkxYJjdYnuXoXgE0HU+EE91etYn4tmcwD2zFWbEx0FplxPw0uYBKvmQx6LKAayQDrT1bMfe+ijJjOIvXIXqOoD//KCiFhos8vht38cXlFxbzn22jfGrlqS9sYa/YiLX7ZTLX/BoYlQfmYLyPjjHcg92xvOJ1Uo962ATCdTD3voqz/HyMQgFt+6toRw8ijh7EKAwh5zfhJSa3n4bJE+WCYi8/n+Rj38Pa/TK59slzhWcbdafkDWn7BQ8BMmtOxF24Gi+extq9ObCSB99lY/Yf9LdqFcowPs/TjpR8JXge1t4tFOKtWF/9HPqrzyJO2Bq7gPHCy9hvfw9c9TZIjPeuKWXWhLXkwbfUYtufwzy8A2fpuYHWymQLStMxRo8HUvKuFiPh5gLdV2cz5oE3EIUczlAO9b5fJZ71d07KioFdwAHiT76Ie+Ov4F73tgmfqe6Nz/0Ng0qkcRf4LpvcpbfO+u+rvpR8sf8zVmv4c2g69oqNxHY8T8YpTAzYVIDb0EGsZxdafhgv0VTRmtIAkSjDpjKM7j3Inbuhpx+9oQn31nfjXncbqqGJ5JafYxzbT37fcZzv/AOJH/0H9m9/FHnBlf7asaZT4ZW8s2gNyoxh7t0SWMmjabipVvSRYHEbWcyw0T2nqh+oswXzpYexdx3G2Lwd7fyLyd7wdlTXUmhopPmRb5AbAbVzO9a37kHb+Rr2b/0xxPxqWL3kzqtCOdsrLyD12HfR+48g22a3NV9XPvlS/+dS7nlY7FWbEK6NtT94n/lQRVFCIHVrzBcYMQ2ui/nNLyN7+nGvvZXcF/4F5+2/jWppB8PElFnksrXYH/g08S/di9c237f2X3oCqKx97CnRDewl67H2vx4qy0am2zEyfYHWljohRobAqdF2vQYP/QxVcCj87p8Q/+9fxttwCaptHkamD5FK4t70dgp/ejf2238H/flHid/1x4hevwjJ8IIVypXDXn4+Sgis3a/U4i2dVupKySuh4ehxSFVmQU+F27USL9kYar5n2KIoqVlRitypKOSJ3fNZxO4diHXrsX/zw2COP4zCzqEXRpHFALi+ah2Fj9+Ft2wN1tf+Cv2lJ/wHWBjB8p/L4CzbgJYdRj92IPBat6Ed4clARVGluo/IEJgecfQgsf/zGYShY3/oz5FXvhlxgkXuF0EJP0lCCNzb3k3hj/4nor+H2Bc/jhg8jqZk1bsllWwYc9nM9iybOlPyOkPpJYiALpZJaBr2sg1+vnzQwqhSUVTgDBsLTckow2YarH+9B+2NlzCWdOLe/GuTttOlDo9u+oTUuESKwkf+ckzRiy0vhM6aOBFn6XqUpmHtezXwWjddysIK4LIpZthEhsDUiIHjxO7+FEJ5mOtW4p5z0aRjjJEeZKoF9PGAuXfeJeQ//kVEdoTY3/0lSspQ6ZMnY6+8AH3wWFWzKs4EdaXka4mz9FyEU8DoDp4P7TZ0+FZagKKo8Qyb6CEuh/7MLzCeegguuAS9vQV72YZJxxijx30rLX1STKao6NWCZbj/+g+4I9V3+VOxpG+p7X0t8Fov3oBnWOgB6ylkVE8xNXaB2Jc/jciMYKxbhbt644SGdYAfsxvpG/uRnfCnJSuxf+ujaLvewPnh/TUxBOzl5wNg7gt+j5xJ6kvJZ0aI3fVR5M7wM1tLOAtXo3TD97sGxG1o94uiMpX3Di9tD6Nc6MmIo4ew/uX/IFdvwGhN4XYuQyUnp7/pI8f9rpN6mbTGRAr3vR8H20H92z/UZAttLz8fffBY8F42QuCm24NZ8vgum6iHTXnMH3wT7fBe3He9H0O42GUC4lp+BE3ayCn6x8vLboTrb8Z94lHE0w9XLZNKNuLOW1LVDOkzQX0peSuG6O/F/tu7QFbp9jBjOAtWY4YJvqb8myjIgAhPmChElAt9Mo5N7O8/D4aJ8673Yw504xQtpAkov9K4VJBWDm3ePMy33YF4fTP64z+pXrTibsIKYanJdLu/25OV7/akFos6lpZB7N+J8dB/4F59M3pcQyFwlqyfdNy4O2/qe0S//U7EyjVY/3oPoj/4uMaTcRavwzi2D3GGe8QHob6UvGnhvOuDePt2YfzygapP5yxdjz7UizYY7MtWVgJppdCDTAEq9rCJHuCJGD/5LtqBXdi/+ydj4xVPbjYFRSvNLSCne4CljX7lNch1m7C++3eInuoqEr10C27HYsy9IfzyY7u9/srXRLu9ybgusX/8a1RDM/avvQ9r/2vI+UtRyYZJh+qjx/3q4SlmDAAYSPh/3gdKYf7716sWz166HqEU5sHtVZ/rdFFfSh6Qm65Cv+gKzAf+GdEfsCPkSZRyoMNY8zLdFmLUW5RGeSJisA/zZ9/Fvega5MbLMQ9uRTa14zVN7jlS6hc0nSVveAWUEcP+nY+DbmB9656qZbSXnYdxbD8iOxJoXZjgq9Qsv2NpdI+MYfzse2iH9uC85w8ReBg9B8q6asC35GWqFbTyak0oD125eB0LcW/+dYznH0XbXl0KpOxYghdPzWqXTd0peYTAet/HwJOY3/27qk7lNbYhW+ZjHQjhl0+3oeeHEQF64EjNKvawCZ57PRcxv/+P4Hk473gvSBfz8C6cxevKHmuMHEdp+rRWWmm4u2rtwLntPehvvIi29eWqZHSWrkegMA8Fs9SUlUDGUsGCr0LD08xo3msRcfwo5n9+yzcCLrwKsxg/c5aVUfJKYYz2TTnPFSZ2J3Vu/nW/xuLb/7c616+m4SxZ5yv5Wfpc15+SB7TOhTi3vhvjxcfR3gjXUbKEveRcv+OgnQ+0rnQzBXHZyCgXegxxYDf6Uw/h3ngHqqMLo3s3wrVxFq8te7w+etz/zKfKfy/2rCl9xu4Nt+O1dmDed29VgUzZvtC31EK0p5Zhgq9atNsrYf7o2wA4v/5+AKz9ryPTLcjWyf3YtdwwwnOn98ePVUPHwIrh/Pr70Q7vxXjkP6uS01myHi2fQe85WNV5Thd1qeQB3Le+03+If/DNqh5iZ+l6hCcDW2qlCH4Ql814VeNZ/hArhfW9r0GqAee2dwNgHtyG0nSchasnH+95GJn+aR9gv2fNCe0MTAvnV34Lfd+OsWrYUAgNZ9E5/v0R8D5z0+3ohVGEU7kB4cdtnLM+w0b0HEZ/6kG/nUVrh7/TO7gdZ+n6su0ISu482TCNJX/SNCi56Urk+oswf/DPkA0fOHUWr/WrX2epy6ZulTymhXvzb6DvfgNtW3i/mtu5As9KBE6lVGYcGUsHs+Q1M5oSBWhbnkPf9jLO7b8JSb9XvHlgK27XirK9hPTsIMKT0wZdy02DklfchLdgKeZ93wA3xDSwIs7itX71a3+wQO5Ya+oALhsZTYkCwPzht0A3cG7+dQCMo3v9nV6ZrBrwjS2lGchp+knppbm/pR8JIbDf8V8Q2VGMR34YWlYVT+HOWzpr/fL1q+QB9+q34jW3Yf7oW+FPous4i8/xt+NBBzCn2zAyQXyuxQybs3w7bv7423ht83GvvQ0AkRnC6O+e0h+vZ0qpcdNbaXDSNChNx/nV30XrOYzx5M9Cy+ssOseXO2AGhZtq83/UAwZf4eze7YnuA+jPPox7w+3Q7H/n5qHtfluTBavKrtFH+/wiuWnaWRje5DkDaskq5IZLMH9+HxSCuWxPxFm6HqPnQOAA/ZmgrpU8poX71l9D3/4q2o4toU/jLjoHLTMUOJXSD76OIpzKLXOpn909bLRdr6Pv3or7lneA4Vcsmge3AuAsKe+PN0b7ULqJF5+cNldClzZS6JOmQcmNlyNXrMP4yXdCB9hUuhm3pXNMzooxTLx4Y6A0ypISOpvvEfOH3wLLGrPiwR8i485f6rcZPwnleRiZPmRqaiMA5aF5TtnGZM6t70KMDGE88dPQMpd2GIHvkTNAfSt5wL3mFlRjC+Z/hrfmnUVrADAP7wh27aL7QA9S+apZ/lZ8lkbiTzfGT7+LSjfiXvXWsdfMg9vwko1lA2oAeqYfN9U6bWtYfarOgkLgvvXX0PqOob/8VGi5nSVrMbr3gBNM+brpVvQASl4JHU/oZ+1uT3QfQH/hUdwb74AGP5NKFLLovQdwizuqSYz0Izx5iqCrH7NxtcnuQG/1BuSa8zB+9r1ArUpOxA/QpzEPBdMhZ4K6V/LE4jhveQf61s1ou8P5xLzGdmRDa4jgq99DJUjw1R2rajz7fK6i+wDGK8/g3vArY7298Tw/oLZ4bXklrvygq0xNM0NAqfEe4WWQF1yO19GF8dB/hJbdXbQWIV3MgL2OZKoNvZBBFXKVrzmLi+aMXz7g++LffOf4a4d3IpQaM8ZORhV34NOnT5bGhpa/R5xb3oU2cBz96V+EE1xoOAtX+4biLAua17+SB9zrb0cl0xg/vz/0OZyFazAO7wKvcgtbGTFkvCFYho0+PgrwbMN88D9QpoVzw+1jr+m9B9AK2Sn98X5qnJz2ARZKouFN3SNc03Fv+lX03VvRdofbTjtdK1G6ETiVckzuocoL987aHjbZUYynHkJeev2YFQ9Ff7wZw523rPy6wV7fnTfFuD/w3V8nZtacjHfuRcilqzF/+h3wwrn13IWrfbdvgO/6TDAnlDyxOO5Vb0Hf/CQMBqtCLeEuOgfNzqH3Bst1ddNtgQpeShk2Z53PdbAP/Zlf+G6aCQ+wv72dykor/YDKkztPnnhMmcyak3GvegsqkcL4+X2BRfcFtXC7VmAEVPKlHYgaChZ81ZR31rWlNp58EGEXcG68Y8Lr5qHtfsBV18uuU4M9fj+p6dx50sbTzKkDsyW3Xs8RtNdeCCX/mNt3lrls5oaSB9zr3oaQEiNkY6pSfnZQv7xM+9vxinOhi1WNZ9t23Hz4hyAl7gnbcADz8E7ctoWoRLrsOiPT71e6niI1DqbeigMQT+Beeyv6i08g+gJ2lSziLF6HMXAUMVr5MBBlxpCxFAxWbt2dlRk2nsR4+AfIVeeilo7XSmjDfehDx6c0AlAeDB2f3H76JHTPPmUPebnpKlRTK+ajPwosPhTdvulmzMM7Q60/XVSl5O+55x5uu+02brvtNr74xS/WSqZQqPkLkedehPHYj0PlRKtkA27bgsB++VJHymD58mdZGqXrYjz5M+T5l6LmnRBclS7G0b24U6TFgf+5ytT0qXF+kYs45WBm98ZfAQHGL74f+C2A79IDMI8Ee4hlqm3Mb1zR8WdhozJ9y/Novd1+wPUEjMOlnd4UldDZIfDkqWM2U2TWTLyYgXv1zWhbngtnCAiBu3ANxpGdsyqxIrSSf+qpp3jiiSe4//77+f73v8/rr7/OQw89VEvZAuNefzvaYB/6K0+HW79wDcbRvRCkH03x5jIyA5WvOcuqGvUtzyGG+pHX3DLhdePYPoR0yle5gv9wljJrpju/d1KRyxSo1nnIi67BePLBwFkyALJtAZ6V8GM3AXDTrZAZqvi+8oRRbEt99ih54xffx2tuR266asLr5qHteMlGvJb5ZdeVMpemc+dpykGgKhr5515zCyAwHgvpEVi0xm9xcLy6Dqi1JLSS7+jo4JOf/CSWZWGaJitXruTIkZl9Y/L8S/Fa52E8HK56zVm0BlG0LiultB0Pkkbp6qZf1ajCV2HWE8ZjP/Yf4A2XTHz98E5/0tOClWXX+UMgnGmDrlBsTFbhzE736psR2VH0zSHSKTUNd8EqzCPBlHwpf7tiQ+Asa0stug+gb92Me/3bxmonAFAe5qEdfjHaFD/geqYfTunO8zPZKhnerdrmIc+/1M+ZD5FOObbbC+j2PZ1Mv7+dhtWrx62vffv28ZOf/IRvf/vbNREqNJqOe91tWPd/A9F9ANW1JNByp2slStP8woupcnLLIFOtgS15OCEYNIcRfT1or7+Ae9u7QddRnof9zJPYjz/K6KvPIIdGcH92J8bKVRjrNmBuOA/zkssRuj5WRDT9VtxvH5uvcGant/YCvLb5GE/81M/iCIizYBXWvi1oowN46ZaK1pT8xXqmH7epvEU6aY1uYbqVp13WM8aTD6J0HfeamwGQPcdwXngO96lHGHruSbz0S/Cdh9CamjEvvpT4zbehNfnBeyPTD43TNK7jhGroCu8R97rbMF55Bv3lp5EXXxvovahUE7J5vu9muuDGQGtPF6GVfImdO3fy/ve/n0984hMsW7as4nVtbeUDbZXS0VG++lG9/Z1kf/gvNDz/c2Lv/UjAszYgF64gcWwX6SnOXw7veCdq+0HaW+IIY7LSPllW5cYhc4impIZorvw6Z4qpPtsw2D//Dg6QfsttDP/0fvr/6Z+w9+5FS6cxYwJr0WLiS1dR2LqV7FNPgFLE1qxh3sc+TrIrCUKjZelihFY+s6K9yYRhSLU0kU5XJrf9lttxvv112rxRtPldgd6P2rAR76n7aRk5hLa8UiOiAflqkrQ7TGOFn63qH4X+EdrbUogp+qOfbmp5H0yFki65536JdtEVtDQm6Pnfn2Pw3/8dlEJLp0i2JBFr1iEzOdzDB8g8/gjZv/0bGt70Zto++EHM7ABi4appZVU9/WDrtM+fuk31hOOvu57cv3WReOonJG65LfB78latR3/lKdpbE4iT59AWOROfbYmqlPyLL77Ihz/8YT71qU9x223BPoy+vlE8L5xPuqOjgd7eqXpEGFjnX4Z65GcM3/pbE7d/FZCYt5L4Sw/Se7i3bAl1OUyRpgEYOHAQ2TBx4EVZWZWiFY3C8DAZJxFIvtPN9J9tQDxJ/MEfYC9czaHffR9y3x6M9Rto+O+fJ7VmKU0//Rojt/4+ztJziQFeJoP95GNk//4rHPzA+4ktX8y8376TfF92SlmHjw/QCAyMSmSuMrnFxuuI/9u9DP/wPpw7fivYe9KaaI4lcbZtIdM1eYLVVLQ2d+D0HWO4ws/WcpT/vnr6azJ0Oig1vQ+mQXv1WWL9xzl+3CFz4w0o2ybxrt8kfuvtNO16AqPvEEO/+Rdjx7s7d5D/z+8z8pMfMvzgz2h/6xW0ffiSaWVtymRAmAwFeD/G1bdg3fcPHH9tG2r+wkDvyWxbToPzMIOvv+433TuJsJ+tpolQxnFoE6G7u5sPfehDfOlLXwqs4E838oo3IUYG0d54MfBaZ8FKf5xXAL/8WPB1tMLydSGQZ8GUKLHleTK7D3Ds50/jDQ/R9DdfoeUfvkX8rbdi9e7zG051jfvjtVSK+FtuoeXb95P+1H/D7e3j0Be/hv3Mk1Ne41RFLuVQbfPw1l+I/tSDwQtfhIa7YCVGQL+8aOrwZ75WeL1xl97cLprTHvkxPQdHGH3gAcxLLqP12/eT/sifYKxag3l0D27XxHiNsXoN6T/+BK3f+yHxyy7j+I8e5+An/wfyaPeU15iy5cU0yCvehBIC45ngFbDuglV+4HyWpFKGVvL33nsvhUKBu+66izvuuIM77rhj5n3yReSGi1HpJoynfx54rTt/GUrTAj3EXiyFZ1iBepTM9cCaUorMX3+B/sPDmOdvovWb38W6fDxzwji8E9mxuOxuSRgGqbe+maUfeQ/GvA6GPvaHZL/zLVSZbCTdO0WRyxS4V9+M1t8banKUs2AV+nAf2kjl37do7kCg0CuM3ZwNRXNy3x6O3/8j8sM50n/2FzR94W/QF/suMG3gGFp+FGeqoHxTMx0ffh+d776Z/I6dDP7+byMPHph0nFASTcmKMmtORDW34a29AP3ZXwbOglPxFLJtAWZ3MEPgdBFayX/6059m8+bNPPDAA2P/3v3ud9dStvAYJu6l16O//DRkR4OtNWPIjiUYQXqUCFEMvgZU8krOyVGASiky/+svyWzfQ+qijTT9n6+itZ3QPMopYPQcwFk4XX58P2ZrI61fvgfrmuvI3P1FsvdOHvc41iM8IHLj5ah0Y6jOg+4CP+kgkDVfnFtrVJqFNVY0Nzd7HLkH9jP4/t/BLbg0ferTJO44qUiuqCCnq6EwsgOkr7mCZd/5LqpQYPAP3jtJ0Y8VyoW4R9zLb0Lr7Q7VE8tdsBLj6L7qRgvWiDlT8Xoy8oo3IVwH/YXHAq91ulZi9BwIlEvtplrRswMVF0FI3XcvzEWXTfar95C773s0tCVJ/cmfI04qRzeO7vX70SyYIj8e0DMDKMBrX0Dj5/+a2K2/Qvbr/5fc98ebjKlikcupKhnLYlq4l91YNASCTQWSbV14sWSwVMpkA55uoVfq0qNUNDf33DXe4ADDH/tDyGWYd+X5WLe/c9IxxpHdeKkmvMZpOksWayji69bRfM/foxyHwT94L+6B/ePHeJWnT56MvPBqlBVDD+ERcLpWIFwb/fihwGtrzZxV8t7S1XhdS8K5bBasRHgSo2f/qQ8uIlOtCE+i5YYrO36Olq5n/+Ufyf7T10ktX0TTxrWoZZPL0c0ju4r++MlBqRJGth8v3gi6idA0Gj71WczLr2L0i5+j8Pgj/kGuXXGRSznkJdf7hkDQFsTCz5cPUhQlhECmWjCyZ3fRnCoUGPrER5HHupm3qBHtljvLHKQwj+zy4zVT5McLJ49eyIzHw1avGVP0Qx/7EN6I/xyePPIvEPEE8oIrMV54LHiL6WIsIWjX0tPBnFXyCIF7xZvQd72O6Ak4tq1zhR84CWCpjVe+VmapjY8CnDtK3n7hWTJf+TKxa6+nNe0iL7+p/DzO7j3IjkVlR/2V0DMDyNR4HrowTJr+6ksY56xj+NN/irP19bHh66EeYMBbsRavvRPjuYcDr3UWrEIfCeaXl6lW3ydfodKea0VzyvMY+dxncV99mZZb3ozVEMctU6ugDfWiZYenb3dRjG2c2LPGWLWapi/+Dd7Rbkb+25+jPK/ozjNPWQ09Fe4VN/nFc1ueD7ROJRuRTfMwjkRK/rQiL7sxVIRcxRLI9oWBfoVlogkltMq343OsUZns7WH4M59EX7KM5msuQwPkZTeUOdDF6Nk/rRWP66DnR3BTE4uNRDJJ0//+/9BaWhj+zJ8iix1Hw2zF/RMK5CXXoW3dDCOVNx2DcV9xkNiNm2pBeC5avrL0Oe+Eorm5QO5fvkHhoZ+S+oOPkB45grd204SOpCVKn+lUo/6AKQvlzPMvIP3R/+qn4n7ja6Eya07EW3chqrEFPUSWjdO1AuPonhnvYzOnlbxq7cBbcz76848G3vK6C1ZiHNsHskIrStOQyZbgwdc58AAr12Xks59E5bI0fv5LWC8/iVy2pmx+sdFzACFd3M7pXDW+lVau0lVrbaPxv38e78hhjn3+i3hok0b+BcG99AaE52G88HigdbK1y+9j072n8jWp8crXimQbc+nVf/DV2baVzN99BevGN5O6+kq040dxL72u7LHmkd14iTRe87wpz6dn+vGsJMqcnJ0Vf8dvELvlbWS//lVyzz5blZJH1/0kjlefhUxlrtgS7oKVaIUsev/R8NevAXNayQPIi69FO3oQcXhfoHVO10qE62AE6C8/Nuqt0u34HPG5Zv7+KzibX6Thk5/FjJtoB3YhLytf0l2y0k7Ofz4R/RTtDMyNm0j+l/cz9JMHGXzkydBbcQC1aDnegqXoQV02mobbuSyYkk82+27ACtMoldDxEHW/21P5HCN/8WdorS00/OlnMF58DKUbyAuuLHu8cWQXbteq6fvDT9O4TghBw59+GmPVKrr/1z3YI+WL6SrFvfwmhHTRNwdrfFi6xwNl6p0G5rySdy+8GiU0P3gSZF3pCwrol9fcAsKu7KaSc8Dn6mx7g9w3v0H89rcTv/k2jGd+iRIa7iXlrTTj6B5k8/wp+8eD72/1DAvPSk55TPJ3fo/EhnX0fPmryEPBBr2cjHvp9X7spi/gIPfOFX5/+XyF2Tmajkw0Vl5PUSqaq3MlP3rP3cj9e2n4zOfQGhrQn38U79yLIDW5tF8b7kMfHZgyPx4AT6Jnh6btaSTiCVr+/DPITIaBe/62KvnVklV+7ObFYDrEa2hFpppn3C8/55U8jc14a89Hf/GxQBazSqRxWzoD/QoHD77Wt89VuQ6jf/Xf0FrbSH34435r4Bcew1u7EZrKPIDKw+jeO70/Hv/zk8npB3cLXWPhJ/4IhGDkrv9ZtlCqUuQl1wOgP/9IoHWlkvUgXUtlKdW20uPr3KVnP/Mk+X//Dol3/SbWpZej7dmKNnB8WiMATrHTyw4iUJNiNicTX76E9ne/g/yDP6PwxKPh34QQyIuu8WM3QVw2wu+wanbvntHd+txX8oC86Fq0o4cQhyt/GIHiF7Sn4rmvbtIPIlVe1VjfaZS5f/0m7o7tpP/kz9AaGhGH96H1HEZedE3Z4/X+bjQ7V7afxxjKQ89OzKwpey7PwZzfQePvvx/nhWcpPBiu/zeAmrcAufwcjEwUBwYAACAASURBVOceCbTOnbcEpemB/fJ6IYNwK8t/90cBujMevAuDyucZ+eJfoi9dTuqDHwZAf/5RlGkhN15edo3RvRfPiiNbp24cN+7OO9U9YtP6rjvRV65m9Av/cyytMgzy4msRUvp1FQFwu1aiZYfRhisf/1hrzgol7154le+yeT6gy6ZzBcIpoPdXmIJpWMhYumJLzfe5anWp5N0D+8nc+1Ws628idv1NABgvPu67ajZN4WvtLllpUyt5LTfiF0qd6gEuWrfxX30nxvpzGf3yl6p8iK9DO7g7WLqtYeF2LB6zPiu6TvF9BWlvIKjP4Gv2X/4R78hh0v/1zxCxmD/i78XHkeddAolU2TXG0T2485fBNJ03jcwASjPw4tN3ctSljRdL0fCZ/4HX30/mnr8J/V68pav9FtUBA/TOmNt35lw2Z4WSp6EZb+1Gv/o1wLbJ7VwOBN2OtwQbDqFbY0MN6gWlFKNf/EuEaZH++CfHXtdffBxvzQZoLK+gje49fhVjw9RDQKbLrDmR0g+jZyZIf+IzqMEBMl+9J+hbGUNe6PfV0TdP3QytHG7XCr86usKpT+5Yhk2FSr5ORwHKw4fI/vO9xN58M9bFlwGg7djiTwi7uLyrRhQzUabLvAL8nV6y+ZT9ikrpk+ba9STe9ZvkH/gPnG3BWxT4wgk/iWPrS4FcNl7LfLx4akaLos4OJQ+4F1+L1nMYcbByq8traMVLNQXejmu54YpTL2Ud5srbjz+K88KzpD7wh+gdfpqb6D6A1n0AeeHV5Rcphdm92/fHnyJrQgnhP8TToHs2GH5jMnPtOhLvfBf5+76L88Zrod6Tau9ELl2N/lJAJd+5olgdXVnwV1kJPDMeIm5TP4aAUorRv77LbzT3Rx8be11/8QmUFUOef1nZdcbRfb6vvWhcTXFy9MzAKXd6/jAZOfb5Jf/L7yNaWhn96y+Ejt/Ii64J7rIRArdzud/HZoY4a5S83HSV313yhQABGCFwOpcHsuTdZIvfbTBbWXGN36isfnyuynHI/H//G33pcuJvH+85or/4BMCUSl4b6UfLDJ3aSssM+KPcphgSMnac58AJOdLJ938IrbWN0bv/V/iHeNNV6Hu2Ivp7K14zHnwN5rKpPMNGQwq9rgwB+/FHsZ98nOR7P4A+rzgJy/PQX34Kee7FECs/p8E4utd3981fOuW5hZ1DcwsV+eNhvEeUlkqT+sAf4b76MoVfPBjiXYG3bE0ol43buRx9qAeRC9gssUbUnZJXYbu6NTThnbMx+Ha8czn66ABitEKlXfK5VuiXl3VW8JK777vIgwdIffhjiBMGshgvPo5cuR7VXN4VM+6PnyY1jmJmzSlcNSjl++RPaFOspdIk3/cHuFtexn70lxW+m4nIi/wfqCC9bFQ8VczCqlzJu8lW3wiotJldHbWlVq5L5m/vRl+6nMRvvGfsdW3fDrTBPuQU8Roopte2L5y23YWRLQZdk6dw55XpPhl/2x3oq88hc8/dqHy+ovczgQlZNpUP/Qjj9q0ldaXkvYF++m65gdHHg/2SlpCbrvKzbLon952eipLlaVZoqXnxBpRmVOyXH+tGWQcPsTc0RPber2JecjnWleMZNKLnMNqhPVNm1YD/AJ8qa0I4eTQ7i0xOb6UJJdHwJimD+NvuQF+2gsxXvowKMYRZdS7G61qC/tITgda5XSv8B7hSpZ1qQSgPPTdU2fF1lCuf/88HkPv3kfrQRyaMwtQ3P4nS9SldNUi/IWAlOz2oJLPGmdSYTOg66Y/+V7yj3WS//c3K3tDJYl58jV8Y9cozFa9xO4pZWJGSPzWioQGtsYljd30eVWFa44nIC64AQN9cuaUm2xaiDKvyL6joTw6cRlkHudDZb3wNNTJC+sMfR5zgVz+VqwZ8K+ZUWRNjTacq3IpzUkm7MAxSH/oI8sB+8j+4f9pzTIW86Gq0Ha8F6mXjdq5As3Po/VNPJ5pwjaDBV81CUx4i6BSrM4zK58h+/f9inHcB1jXXn/AHhf7Sk3jnbCxbAAWgHz+EcB2crmn88RTdebEUypi+VYHu2XjCmBSctS66BOv6m8j+8714A5W3ICnhLV2D19yG/koAv7xhIgNmYdWS+lLyhkny9/+AwrZtFH7xs8DrVUs7cvk5wVrL6jruvKXBtuNjveUr8A0LDSmMWe+ukf8/e+cdGEd1dfHfzOyudlddtoq73LtkG2Ob3gKmBjDNvZsaICSQBJJAQkiABEIPYMAFdxvTe+/gbsu9y90qlmSVrVO+P2ZXki3tzhthG8HH+c/We7Oz0s7de+8795yDB/C/Mh/3pZfj6HqkfLCy8mtTq6ZF41ojUtAfYU1YPMDCzJrI76oRVynX6Wfh7DeAmhefw/DZH2dX+59uZtk2Dtdq+/IHxBKBWjE7GzRKaP7Vnn/BXPTSEjOLr5cESPt3mfMTcVo10UpZjFljcehKhFkTQ4I68cZbIRjEN2u65XUaQJbR+p2Csm45hMS1/sM5HU2JFFEtrGOIn1SQB0j41VASunfH9/z/mlSSa/1ORdm5GalcfDhBzemIcmg/hAUHWBLT7ckb/AQYNr7pL4Ak4Z104xH/L1UcQincElOHBEAp3mXNmsDkP+tON4Yrvrm5ooUwkKCRbE6SJBJ/cwdG2SF8c1+Oe53GYLTrhJ7ZCocNlo2enIHuSTYF7UQgy02r9prxZ0Q/XIFv1nRcp52Jq9+AI34WrZzjfUYcB3agJbfASEyN8yJROQMrZo2BooVjSlA7cjuScOGl+BcvQCuxJ2UB5vuQQkGUjauE96g5HZE01ZYW1rHCTy7IS7JM1u/vRNu7m8A7b9neH80mbGVqOR2RDF34IY5mGuJ9+ebdc9X27SXw9hu4Lx+GknNkTz36e9T6nYKhaQT27aN682Z8O3cS2LcPtboa58GdGJKEmhWbNQE2szTZeUS2WB/OPnm4zj4P//zZ9gekJMk8u9m4StwxqpYmZ2OewituIKL/BLwHfC9Px6ipJvHm2xr8zLHqG7TOPdFTMwiXlxPYt4+abduo3ryZcHk5hq6bQ1BWrZpaOYP4lV70zCae+mTi5BtA1fDNeFHsDdaD3j0Pw+O11fb9MQ9fHdZLmh+Szj0XR588fC89h/vCS8xpOkEYrdqj57RFWfUN6jmXCe1Rc3JN9cCDO1Hbdrdc3xSGTbTnalhQB38M1Ex7HhQZ77jJR/x/sLiY0vlzKNlWQeX4SQT278cIN6yuvC1SSc3JwOOYRebQC/G0a9fwRQwdxVdBMMf696voYXPIJc6axEk3UP75J/jnzyFxyk2W16wPrf+pOD98BWX9crQYGitHQ83piGtnAZKvEsObYv0aiWkklGxHCgcalcs9ApIU0bBpni09vewQ/sXzSbjgIhyd6ywdDcOg8rOP2PPFEioSM6kcMohwecNnQvF4SPQ6SD25hFRakTZ4CI6khgJ2tYeuFomAiOWf0rot7l9fSeCNxXhHjUNp3VAWOyYcTrQ+g1AKvgdds6T7QsREJKXlL0FeFJIkkXjTrRy+ZQr+11/Be90oW/u1fqfi+GixSYOKcRBUH0aCFy0jR/gPZDhcaAmJTeq5qnL8VsWJhrp7F8H33sZz7UiUzCx0VaX0ow/ZO3MmlStXAJCQnETK6YPIHHoh7nbtcKSmYoRC6KEQoeJigu8tpKKkkgP/fpgd/36Y5Px8si+7nFZXX43iNZUm5UBEzsAqkzcMFD1EyNn4WHwUjq7dzWx+wRw8w0chJ1sH3ij0Tj0wklJR1nxvK8gDOIoKCXfMs17vjSYCFaipOZbrm3NLzzdvFgSDeCdcD0Bg3z72L1xA8VtvEti7FwlI7NKSFuedR2LXbjiSk1E8XpAlgkVFhNetJFiwnH2ff8ue9z9FcjrJvOgi2o4ZR0p+fu3rOHzlGLKC7rGQMziKIx8L3glTCLzzBr5pz5P8l/ttvWet/yk4ln2OvH0jetc+QnvUnI4492z8QWJ6TcFPMsgDuE4ahLPfAPxzZuK58hokl7gxgNb/NJzvL0RZu9S0qBOAmtMR17aVplhZHIZI7Wt4xQde6vdcVZpXkPe99Bw4XbiHj2HvyzPZM30awX37cLdrR6drh9F6+1Kcf3sSo3vjgU05tI9UaQvV543msLcVJe+9S/E7b7PtgfvZ9cxTtJs0mdYjR+EJiFHjZD2MhJgbVJOzeVlByxtktqJUFRzWj4nasm2EJicW5Otr2IgFeRcu1Wce5v8A/fxjDb2iHP8r80k4/0JUVwLb//oXDr66GEPTSD/1VLp0ySanZSLqv6bFvIb3i0QSeng4NPp+Dq9eRenHH3Pw1cUUv/kmyXn5dLz9djLOOBOlpkxYzsAAdCl+kFeysvEMuxb/wrl4x09BadtIhRkDWp+TMRQHyupvbQX5hC3LoLwETuBz/pPrydeHd8IU9OIiAu/a683rud3QUzNs99TkUAClXMzlRUvMQPFXYgicptf1XJtXOa7u3kXwo/cJnXwKK8aNZdsD/8DdqjW9n3mWwR9+TJeOLUnOycTo0jvmNaLVj5rTEU/btrSfcj0DX3+T/vMXktynLzse+Q9LzjuHg6+9hm6YzJN4ECnFa1+7a3dcZ52Lf8Ec2715Lf8UJF818jZBmYRampxgtef0oDsSxFt6iqtZeg/4581G9/spChssOf88Dr66mFbXXMuQzz4n/6mnaCdVIg2MTa0Fs/pRs3OR3W7Sh5xC17/8lVO+/Jqu995HuLyMgkkTKZgyCd+2LZb9eCBy6OoS+jL0jB4PimKfaeNJRO/Zz4whoiZBkWrP2LPV3mv9QPykg7xz0Ck4evXG9/JLGKqND78so+UPQVm/QtiFXc3OBRA+fFUTTXkDRIyeJcksx5sZV75y6rPsrgqw9c23Qdfo+/wL9J87j8zzz0cyDJSCJWh9B4MSuyfpOFiI7kluIEqWOmAAeS9NY8CixXg6dmLtf57h60fn4du7N+491ZbigubdiZNuwKiuwj9/jtD6KLReAzAcTltDL+GcXBwlu8VocpJkS8yutqXXjD4j+uHDFM+awfaAwb7Fi8m+/AoGf/wJ3f72d9ytWqOsW46k6zFlhQEIBVDK9tc+X1E4kpJoM3oMg957n05//BOHV6zg07ufYtP8d9AbOfepj+jBvAiUlpm4L72CwDtvoBUXCe2JQut3KnLJAaT9u8TWZ+SguzxwoNDW6/xQ/KSDvCRJeMdfj75/H8GP7OmJa/lDkIJ+5C1rhdbrqZno7kThTC16OGQcPiR2/WY2ul7yxuusX7SYalWn0513cfI779LinDpjbnnbOiRfde2AWSw4Du40M5gYWVVKfj79584jf9KVVOzcx/JLL2H/gvkx+5aKHrLl6+ro1gPXmefgXzTXHm/e7UHv2d9s2YhmatkmTU4pjf9FFYXmTY/IG1hfv7nRKLVAgI2TxrOr9DBKejr95sylx78exN2qde0aZc33GMlp6B1jH6Y7inchGbHptbIrgfaTJnP6otm0G9ybHS8vYNWI4fh2FTZ+QcOoPZgXhXfMeDAM/DYpt2rky0uYqSfJ1Jw7CqlvbCrp8cBPOsgDuE4/E6VLN3wzXrKla6P36IfhShDP1CQJNTtXOJPXPckmU6ZSLMhrzcTvVQ+H2favB1h/1504ZIn+L75E++tvQHYdyWBSVn+H4XCi9RoQ40og+SpRKkst+fGSrtH59D6cPv1JUgcOZMtf/8KmP9yF1khQVvSweaBmoy/tHTsRo7IS/xuLhfcAqP1OQS49KJyp1dHkCsXWJ6Yj6SpywFoHpc7v9cdv6fl372LVNVdTUrCWrK6dGPj+h6SdPOjIRaqKsm6ZKWMQh30SfZ7iiZIBeNwwcMoV9P7vo/h3FbL88l9T9OYbDdbJhoqEEXMQqjEorduSMPRi/K+9Ym8KNq0FWodupsm3IMId+yK1if88HGv85IO8JMt4x01C27WT0OefiG90JaD17G/+gYQztVyUimIxT09JRvOkYQgH+R/f7zVcXs6XV13H3hkzyEh00/Paq0k5rZF+qmGgrPkevWd/cMc+QKp9gK0mXf2mhICzfWfyXpxG7m23U/TmG6y4eliDjE3RQrayNDB5884BA/HPfblRimcs6BGdFdFMzUhMRUvOwFFkr9oT6stLUrOo9ko//YTlV16Bf3ch7ZMS6PrwIyiNUJjlreuQ/DXxWzWYX4hqeg5GQmw/XwClpgLd6SHz0ssZ+NbbJPfpw8Y7f8/2//z7iOSuTphMrF0ThXfsJAgF7bf18gYj79wEleIyGCcaP/kgD5Bw7vkobdvjmzXdFj1JyxuMfKgIaV+h0Pr6NDmh6yemiWfyP7I5RM327ay45ioOLVlGx4uG0srtIGn85EbXSgd2I5ceFHiAd2LICmrLtvHX1ROdkhSF3N/cSv70mYRKD7Hymms4vHKludDQkQ3VdpAHM5vXS4oJfvCO8B4jrQVabjd7YlTZuTgP7hRrwXjTzAN3W0NzP14mv/fll1l304142renS6uWZAwegrNPDFbVGutKj8iA4dH9+Eav56vTkHfntCJ/+kxajxzJnhem8s3IsajVZjVUd2Zj7zPiyO2I65xf4X9lPnq1uMKklj/YPJ9au9TW651I/CyCvKQoeEaNRd20gfDKZcL7oop4og+xmtXetBG0M/ka9CGFrWVN6w7WTvxDXLFsGSuvvRqtpoYzFswmccMaXGefh6Nj4zoi0fI0pqJgBI6DhWgt25rmHnGg1JRhKE70hLoBmPRTT2XAwkU4U1NYPXY0xe+/h1JLn7SXpQE4B5+Ko1t3MxGwIW6n5Z+CsnMTHBYr49Wcjsg1h5GrBQK34kB3pwhPvmqyE/lHaOkZus62hx5k2wP30+Lc8+g5ZjSOinI8YybE2FCv0ouhHQ8gV5QgB32oOblWN4DiqzhiCEp2Oun2t/vpet/fOPjJZ6waOZJQaSmKHrZ1ZlMf3rETMWqqCbwu3tYz2ndBT2tpDkY1U/wsgjyA+6LLkNIz8M+eKb7Jbk/NmYDWorWtniuIZWq65MBAOuGZ/KEvvqBg4nhcLTM56ZVXUXZsw6iqwhvrAcb8UtTbd8FIbxn7wpqGo2SP9QNMZCDIm9agz+7NzaX/gkUk9+nDhttuZd+c2ealbfRbo5AkCc+YiWi7Cgl9+ZnwPi0/kgisFUse7PblTQMR8cnoE+33qofDbPz979g77SXajB5D7yefIrhwLkqXbrhOOa3RPdL+XWKVXqStpWbHb+fJ/kokQ290hqLNqNGcvmAO/l2FrBpxHcG9u2yf2UTh7NEL50kn418wR7ytJ0nmTMX6lcJMvRONn02Ql9xuPNeMIPTd16jbxHmoWr69npqanYujeJc5FGV1bZs91xNtDlH8zjusu+kGvF260H/ePBKysyibPh1n/4E4e8UY8KiuRN6+ES1vUOM/j0A5tA9JC1s+wFE7t1hDUK6MDPJnzqLFeeex6YEH2TL7VfQmZPIACef8CrltO1ttPaNtJ/T0lsKJgJbRGsPhFKfaetPMg1eBCu5Eq1HqoSDrb7uV4nfeptNdf6DLX+8l/N03aIU78I4eH1M7yE6lp7s86OmNq5fWrou4rMWyhMw57xzyZ8wkXF7O1+N/Q8WOfVZvLSY8o8abbb2P3hfeo+UNtsXUO9H42QR5AM9V14HbjW+ueDav5Q+J9NTEHmI1JxcpHEQpt9YON1wecHlsGYicqCzt4OuvseF3vyWlX3/6vTwbV0YLgp9+THj/fjyjxsbcp6xbbmZVeVZZWiFgzZqQQz5kLRRXj0RJSKD3k0/T6vxzKHjiRXY++1zca8aC5HDgHT4Gdf1a1ILVgpsktLzBKBsEZyoUBTWzvY1zm3QzOxewizyRNErN72fdzTdz6JOP6XrvfbSfcj2SJOGbPR05pzUJvxoac69SsMS60qNuCMpygrWmDIP4vr+p/QfQb/Yc0HW+m3I7NVu3xL1mLLhOOQ2lcxd8c2YKJwJ6z/72mHonGD+rIC+npuL59TCCH7yHViQ2mWq062xmamsEg3y2vXKclBb2hMpOQM+16K032fSnP5I2eAh5L03DkZyMYRj458zE1bnzEa5PR0Mp+B4jJR29Q9eYa8B8gPXEVPQkCzEpQacf2elk4D//TNtLzqfw8ccofOrJuOtjwX3pr5FSUm3JEJuZWkA4U1Ozc02uvIAUtlZPw8YKhqygS4r5GTmO0IJBvhk1jrKvvqTbPx6gzegxAITXFaAWrMYzfNQR1o9HoOpwpNKLn8XXeQzkWt6P4qtA96RYCoGldu3EWc8/jORQWD12DDU2Kvra+5IkvCPHoW3fSvh7wYn4JjD1TiR+VkEewDN8NGDgXyBIhbKZqekpLdDdScKZmpTSAsV3WHjg5Xj3XIvfeYeNd91J2skn0/f5qSgekwIZXrEUdfNGWkyajBRLm0dVUdYtR+s7yFK/x3EwmqXF743WGoUISAw7ZY38f/yV7CuHUfjUk2x+8hnLPUdDcnvwDLuW0Jefoe4W47/XzlQIMijUnFwkXcMhMBRl2y7yOE9G66EQ62/9DUWff0mPBx+m9XXDa3/mnzcLKSkZ92VXxtyvrI9WevGDfK3HgAizpqbcWrgO87lJ7tCWATOmI8lyJNBvs9x3NBIuuAg5MwvfnBnCe2qZeoIzFScSP7sgr7RuQ8K55xN441X0GjE98NpMbatApiZJqDm54pl8agvhgZdoz1U+TuV46ccfseHO35E64CT6Pv9CbYAH8M95GSk9g9Qrroi5X96+3uQ+W2VpvkqUqkPCD7DmsrZzkwwN2dDQnW56/OtBMi++hIL77mfvLPvGIJ5rhoPDIZ4IuBLQe/Qzy3GBL2tbEhhNsIs8Xu0aXVXZeOfvKPv8MwY8+m9yhg2re939+wh+9jHuy69CToytAKoULBWu9AwkNAuPAdQwSrDapCNbIPp7cXfpRv7L5iH9mvHj8O+xZ9QhOZ14rhtFePlSwps3Cu3RbTL1TiR+dkEezGzeqKkm8PbrQuv17vkYThdKgWCmlp2LcrgYyV9tuVZKMTVbRFo2dT3XY5/Jl3/3Hetvv43kPn3oO/WFWolfAHXHNkLffY3nmhHIcbT5lYIl1txnwFFkZjNi/OcKsQdYiwqTOZEUhZ7/eYTWF1/Itn/cz4HFr1jurw+5RUvcF15C4O030A+LHbhreYPN6deD1gHD8KaYQ1GiLCxvurBdpCY7UQxN2DRcFIaus/meuyl5/306330PnScceS7jXzgXJBnPdSPj3JxmavD3Pdm60isqRMvIwUiIr8bosFHpKVoIXVIwJIXEzp3pN/Nl9FCQNePHEiy25wDlvnwYkteLf/5sofVGWgv09l2aJV/+Zxnknb374sjrh3/+bDGpgwS3makJ9tRqaXLFAqVZcobwwIvZc5WPeaZWWVDAuptvxJObS97UFxsYMvjnz4EEN55h18S9jrJmCXr3vLhTrhDJ0mQZNTP+EBS6juI/LPQAy0cNuchOJ0OmTSX9tNPY/Jc/U/rJx5bXqA/PiDEQDOB/dZHQeq3vyQDCLBs1OxfFxtCcrAaRwn7rtcdhaM4wDLY/9C+KXn+N3Nt/S7sJE4/4uV5dReDN10j41QUoWdkxryNv32DqGVlUeuYQ1C7hJACsz2wgaiZTx7xK7NqNvBdeJHToEAWTJhCuEJ9KlZNTcF96BcEP3xe2CNTyBiFv3wjVNt3IjjN+lkEewDtiDPqB/YS+EONEa3mDTEU5gUxNzWwnPBQlOZzo7uRaGpjlfciuY9pzrdm+nYLJk3Cmp5M/bQbO9CMfFr28jMD7b+O++FLktNgPklS8D7lor6k6aQFHUXQIKn4LRvEfNvu3gv1WgyMHoZSEBHo//T+Se/dhw29vp2KZeBbl6NQF55DT8C+ahxGy/n0bGVnobTvZC/I1FUjVAqwZr/g8RW21dwyH5nZPfZ69M2bQZtx4Otx8S4OfB954FcNXg2dEbNYVRCo9xWFZ6dUOQQlOuhqy44hBuZjX1RtKXqTk96Pv/57Dt2MHa2+Ygua3/iKNwnPdKNA1Aq8sEFqv5Q02TeDXLxd+jROBn22Qd515DnLrNqZrjQCiwUuo3IoORdmgydlxiTpW7ZpgUREFkyYgKTJ502eQkN0wC/O/tghCITzXjY57rWgry4ofj67hKN4t/AADwv1WXXI0oNs5EhPpO/UFElq3Ye2NN1C9UayHCmYiYJQdEuZEa3mDkbethxrrTM1OXz6apYokAseaK39g0UJ2PvoIWZf9mi5339OA+26oKv6Fc3EOGIizR8+411IKlqB36wvu+Do0dfTaXMv7q52hsBpuMnQUQ2tUziD91FPp9d/HqVy9mg133I4uKEuutGlrKpi+tgjDb61gqnfohpGcZkuw7ETgZxvkJUXBc90o1LWrCa8rsFxvtMhCb5NrI1PrYPaeBYei5EClkM64JrtQDPUH91zVqioKJk9CPXyYvBdfwtsht8EaIxTC/8oCXKecjiPXQkSsYAl6q/YYma3irzt0AEkNCZfihiRZGoVARCM8xqSrKyOD/OkzULxeCqZMIrBPbBjGOWgISqfO+ObPFuJEa3mDkXTdnG60WtuyDYbiEBIrM5xudKdbcGhORpMcxyQRKP3sUzb/9S+kn3EGPR58qFFWVfCzj9GLDprtrXi3VXIA+cBu6ySACL1WYAgKwzA1awTN3SG25V/m0KF0ve9vHPr0U7bed68wB947YgxG5WEC775tvViW0fqcjLJuOdhQxD3e+EFB/q233uLiiy/mggsuYM4ce+ptTUG4ooIlQy9g39vvCq13X3oFUlIyftFsPpqp+axZOWp2dCjKmo+vepsy8NL0h1gPBVl38434tm+j99PPkNy78enV4IfvYZQditBO4yDgQ96y1qROWqBuVD3Xcq1SU24GeCsjZMOIuP3EnnR1t25N3ovT0Px+CiZPFOq/SpKE57rRaFs3C2ke6R27md6vIomA4kDNbFd7CG0FFk69UAAAIABJREFU+9XeD8vkK9esYcNvbyepVy96P/k0cgz7TP+COSht2+M67cy416ur9ETaebvQsjtYDkFJIR+yGrJ5MB+7Rdhm5Cja33QzBxYtpPDJJyyvCeDI74+jZ2/882cJaR5peYNMR7Ed4hXl8UaTg3xRURGPPfYYc+fO5fXXX2fBggVsawIn1Q6UpCScqSl8P+WmOmXCOJATE3FfPozg55+gHbSeUNX6DkLSNJMzb4G6ctz6IY5+SIUYNsoPK8cNXWfTH/9IxZIldH/wITIakwrGPGzzzZ+N0rkLzkHxp1eVDauQNFUwS9sVcYISsGnzlQv14yVDQ0a3VBZM6t6dPv97Fv/u3ay76Ua0YNDy2u6hFyOlpeOfJ8CikBW0PgPNnqtunamp2bk4SvYIVXCqNx3Ff1iogjPVKJse5H27Cll7/WRcLVqaB/ExKJHhdQWo6wrwXDcy9uxEBMraJejZbTGy2sR/8agTlBV1kvpyBjYyeQvJi46/vYOcq65m1zNPs3+hda9dkiQ8I8ag7dlN6NuvLNdrvU7CUJRmxbJpcpD/9ttvGTJkCGlpaXi9XoYOHcr774vrPTQFssNBn+em4m3TmrU3Xo9vxw7LPZ5rRgDgXzTfcq3eqSdGYrJQpqanZqIneIXKcXPgRRHqueo/8GBtxyP/ofidt+n4+zvJuTw25z28Yinati14ho+OqUEShbJ2KYYnEb1zbC/XKBxFO80pRotrSmoIJVgjzJoAMfXJ9MFD6PnvRzi8Yjkb7/ydZfYluU1WUeibL4WGo7S8QUjVlcg7NlmuVbNzI05R1u0jzZuOpGvIfpF5CheyoSMJfNEcjVDZIQomTcQwIO+labhaxpYe8M+bhZScjPuSy+NfNBhA3lwgVumV7DGdoAQrPRAP8lojZzZHQ5Ikut3/DzLOOJMt993Loc8/t7x2wrm/Qs7MEqNTehPRu/RpVn35Jgf54uJiMjMza/+dlZVFUZE9j8SmwJWRwRmL5iHJMgWTJxEqLY27XslpRcLZ5xF4Y7G1/ZuioPUeaCoOWj1AEacoRaQcl2ThgRdDktEkpUmZ2r7Zs9jz4gu0HjmS9tffEHetf95spPQM3BdcbHFDBvLapSZjItYoewSSvxrlcKm1KBn1qHFx9Ehq19rUCM+65BI6/+luSj/4gO0PPWi53nPVdaAo+Bdatxy13gMxZFkoU6ur9qwTgeiXnUi1pzfx8FXz+1l7/fWEioro+/zzeDvG/juF9+8j+PknuH99FZLXwtBj4yokNSzYqikErDWNwPxd6C4PhjP27EbtWj1+O68+ZKeTXk88SVL37qy//VYq18YfgpQcTjzXDCe8fCmqgCaOljcIeV8h0iF73PzjhfhPbRzoun5EBmgYhmVGWB8tWlhTomIiM5kzF83l88uuZOPNN3D2W6/hSIo9hZd44/UUfvIhji8/IGNMfBqYetpZBJd+RkbFXpTuMZQYI9A7dcf4/DVaJitIcRgFmZnJ6BlZGEWFZGYmx39vgBH0oKDhEVgbxb5332PrA/+g9UVDOfXJR5DimGsHd+6g5JsvaXnbbWS1bZjJ1b9HbftmAofLcJ9+NqkW92Ns2YEOJHXvSbLFWr16FwaQ2q4tktfiuqWV4IeM7IwGn7FYv8+Wf7gduaKUrc+9QItuHel2U5wvvcxk1Mt+TeU7b9Lhnj+hpMY7CE7G3zMPZcMK0q6/Le59k5mMlpJOUsW+uPcKYGR40NdIpOBDtvo9h5ywez9piQpSithnxNA0vh1zC1VrCzh11jTaXHBW3PVFDz4NQNsbJ+G0uJ/glpWoHi8ZpwxBcsYPtFr5XmiRQ8t2OZb3rK2thLRMoWfGaYQhKV1oLQCZyaQtns+nF1zC+huncO6H75CUmxv7XiaNZ8v0FzDeWEDmw/+Oe2n9rHPwL3qB1J1rcPYY1uga4fs8BmhykM/JyWH58jo+aElJCVlZFqfl9XDoUDW63jQxn8zMZLR2Xej52BOsu+lGvhg9kT7PPoccK9Ns1xVH776UvDQN9YLL4/cXO/TGI8lUffk54Yz42YYjuRUpQMWG9ajtesS815KSKhLkRBKDfkr3FZvqlHGQpMm41BrKSsQcag6vWsmaiTeQ3KcvnR96hNKy+BVL1bMvgNOJMfQKSo56jej91r7HLz7FKUlUdOgDFvfj2bIRtyRT6mxhudZbdACX4qSsGqiJvza5phpFdlJReuSE8dH3ejRa334n5Tt2s+bP9xFOSifrwotirpWvvA7jtVfZ+9LMuFr6AI4eJ+Fa/BKlm3dgZGTGXZuY2QHH7m24IO69AqS6k9FKDlLd0uLvbhi0APyHK/EFrasbwzDY+vf72P/eB3T56724Bp0R914Mn4/yBfNJOPs8Kpwp8f+WhoF72bfoPQdQWhEA4hjkGAZpu7cR7tCLGqvPtq6TXlVGIDkbv8Xalhke0DWqQxIBwWcGAMVL76kvsmr4tXw+bDgD5i9sMEdSbzEJF11GxRuvoUy8GTmjRezrujJwZ7bC/+2XVAw8v8GPrT63sSDLUpOS4ya3a0499VS+++47ysrK8Pv9fPjhh5x5ZvwT+GONluecS7e//Z2yLz5n69/ui0uL8gwfbR6efPNl/IsmpqB37ilWjmd1wECyxYUWYtgoLmRDQzKse66+nTtZe8MNJOTk0Hfq1CP0aBqDXllJ4J03TBGmFnE+qBEoa5ei53aHZOu2iqOoEK1FaxApr33lZqtGoPpT9FDtWYUdSIpCz0ceJaV/fzbe+XsqlsVm0Di69TANIxbNw7BQj4z2nuV11owcLTsXpaoMo/qw9drEdKHPh+n3Ks6w2T31efbPnUu7yVNoa1HJAgTefh29qsqSNgkg7dmBXFEqdCgvVx5CDlQL9ePlQKXwoBwR57Wm+Awkdu5Mn2efJ7BvH2tvugEtEPtLynPdKAiHraekI6KH8qbVELR2hTveaHKQz87O5o477mDs2LFcccUVXHrppeTlNe73eDzRevgIkxa1cAG7nnk65rqEc36FnJ0jdHii5Q1G3r0NqcLCn9XlRsvIEQvyNgxERKcaQ6WlFEyaiCRL5iFavOwigsAbiyEQwGtFmwSorEAu3CL0AKPrOIrFRtVNo5AKsQfYMCL9VvtBHkBxu+n77PO427Rl3U03xJWf9QwfjV5cRPCz+BIJRusO6C2yhQ7Xan8fe7dbr7VpICJyOH/wtdfMYadLL6PTnXdZrjc0Dd/CuXj694/p31ofUR8Grc/JlmvtDEE5bBy6EjJZVE39jKQNHEivR/9L5apVbPz972JKoTg65OI69Qz8ixdYTklrfQchhUPIm9c06Z6OJX4QT/6yyy7j7bff5oMPPmDKlCnH6p5so+Nv7zDlZ598gv0LGmfRSA4HnmtGEF6xDHVLfGZEbaYmeLjmKNplSX0zXB50p1tIUlZkqlGtrqZgyiRCh0rp+/wLeNpbH2QZahj/onk4Bw7C0bW75Xpl3TIkwxA6UFPKDyKFg0IPsBQ1ChFg1siGioTRJF/XKJzp6eS9NA05IYGCSRMJHmx8tsF12pko7dqbWj7xELV827jKUp5abdkWQ1YwBIK8XQMRRQ/F1Voq+/orNv/5btKGnEKPhxofdjoaoW++RN+7hxYTJ1muBbPS0zp0g1RryqyjqBDD4ULLiD9QBxE5AyQ0r/WgHOFAA8kLu8gceiFd7vkzpR99yNb7/x6zK+AZPhqjvIzgh/FndfRufTES3M2CZfOzmHiVJInuD/yTjLPOZst991L68UeNrnNfPgw8HnwW2bzRJhc9I1M4U5ODPuSKEsu1WlRt0Gqd7DRFzWIEeT0UZN0tN1O9aRO9n3iKlPx8y2tCZHqxuMgsOwWgFCxBT2uB0a6z5draLE3ABKJOWVCEWROhTzbB17U+PG3b0veFl1ArK81hqcMN2yeSLJtT0uvXEl4bPwPT+g5GCgWtMzWHE61lW7Egb8NAxPQeMJBjtPSq1q1j/a2/wdulK33+9z9kl3ULDUzWlZzTmuQLLrBeXHUYeccmdJFKj4gTVFYHS4VKEDcKASAcNFs1TfB1rY+248bTbsr17J83N2ZXwHnyYJTOXfHNs5iSdrrQeg4w274/spHIzyLIg0mL6v3EkyT36cuGO35LxfKGIkFycgqeS68g+OF7aKVxgnLUSEQkU7OjUeJNEzMQkWR0ydGoA5Ch62y86y4qvvuWHv96iBZnn235umAevvnnzkJp38FyehEwdbzXr0DvO0jo4XEUFaK7E9FT4lu+ASg1NpQFNbEhFxEk9+pFn2eejZxjXN+oWJX74l8jJSdbtvX0HvmmkYiAPLWanQv7Cy1H3XV3kjlPYaPaa8x7wLdjBwWTJuBISyPvhRdxJIkxOcKbNhJetRzPNcNjOz/Vg2kQIlbpEQ6hHNonlASAuFGIee3AMfl8AHS68666rsD8hl0BSZLwjhhjOkcti58EanmDkMtKkPYVHpN7ayp+NkEeQPF668Sqrp9M1Yb1DdZ4rhsFmrWynNZ3kJDlm56ehe7yCAV5NTFd3ECkkalGwzDY+o/7KXnvXTr94Y/kXBnboedohNesQt243hx+Esik5K3rkQI+sX489f06BQ5SfeVoLi+GQ4T/HMJAMsXJjgHSTz2Vno/+l8pVK1l/263o4SO/SCWvF/flVxH87GO0/XGGmJwuYcs3NTsX1BBK2f74NxedpxCajG5ccjhwYD9rJowDWSZ/+sxGReliwT9/VuT9N077OxpKwRLTIKR9F8u1jpLdSLoudmZTaxQidmZDKNjkfvzROKIr8Ld7KX6vYVsm4YKLkDJaWFpI6pG274/dsvlZBXmIiFXNmIEjJYWCiRMaTMUqbduZynKvLsQIxJYdrTUSserLS7IpVnZQYODF1uFr5GCtXgDZ+egj7J8zm7YTJ9Fu0mTLa9SHf+7LSKlpuC++TGh9rUFIj/6Wa6WgD6W8SOwBpp6yoMja6JDLDyzF6yPrwovo9vd/UPbF52z60x8bHLR5rh0JkmwaZcSBqOVbNHsVPaBXaqwNRHTJgYF0xOFrqKyMggkTUKuqyHtpGt44vO8Gr1tcRPDjD3BfdiWySOZvwwoS7BnJ2GnnyREDlWMV5KGuK5DSz2RlHfriiyN+LrlceK4eTvj7b1B3xJZyaS5GIj+7IA/gbtWa/OkzQZJYM35sA1VCT62y3FuxL2LDSETLzkUpOwih+HQpzZsmbCCiyS5k9Foa5a5n/8fuqc/TavgIOv/xT7YGz9Tduwh99TmeYdcgWRh+RKGsXYreI9/SIATqP8DWh792jEKgcY3wY4HWw4fT8Xe/p/itN9n8178cIX+gZGWTcMGFBN58Fb0qtqywaKamJ6VDUqpwtWcaiFhQ7yTpCKGycEUFBRPGEdi3l77PTyW5l7UERX34F80DXY/v/FQPolaQUTiKdqKltsTwWPO87RmFHLt23hHX9XrJe+FFErt1Y/1vbqZi6ZF/Y8+wayDBbXlI3xyMRH6WQR7A27Ej+dNmoPl8rB47msD+ulLZGVWWmxdfWU7USETNzkXCsHaKUhzCBiL11Sj3zpzBzsf+S/avL6fb3/5uK8CDqSSIw4Hn6uHWiwHp4N6IQYh4q8ZAEhKdsmMUUkuf/IGHrrHQ4cab6HDzLRx8ZVEDRoV35FgMn4/A64tj3156SzNTsyrHJQnadhayA7Rd7elhU1Z64gRqtm2jz/+eJe1ksb9bFHpNDYHXXiHhnF+htLZw84qgzgrSutLDMCLG7tZyF2DfKAR++MF8Y3AkJ5P30nTc7dqx9obrObyqThRRTkvHffFlBN5/G70sNtW61khk3Y9nJPKzDfIAST17kvfSdMIVFaweM6o20EuShGfkWHM46qvPY+6PZilWD3E0g7VVjluti6hR7pkxnW3/fICWFwyl+0MPC/XT60M/XEHg7TdwD70YuYX1oSjUGaeIuEABKBG/Tlxu67W1RiEiln9hJI59llYfubf/lnaTp7B/7hy2P/iv2kDv6Nod58DB+BfOwQjH5qOLZmpSm84olaWWvsC1BiKC1Z5edZiCSROo3ryJ3k8/Q8YZ9gcSA2+9hlFdhWfUOOE9pkFInqVBCIBcVYbsrxKr9LBhFEJklkQ6dmc2R8P0KpiJKzOTgokTjlC/9QwfDaEQ/ldiix82ByORn3WQB0jJzyd/2gwz0I+uC/QJ5/zKdI6aPTPmXiMjC71dZ0sHdiPBi5qeI5apJaZHBl7iy8/qkpNNs15h87//S+aFF9LrscdjyzbEgX/xQggGhKYXo1DWRg1CrPVFav06cwSztJryiFFIivVam8JkTYEkSXS66w+0GTuOvTOms/Xvf6ut7ryjxqGXlBD8OLa6qmimJrU1aahWiYBpIOIRyuT91X6+uuVuqtaupddjT9DynHMt9zR4PVXFP382zv4n4ewVX6spCqloH/LBvWj5oq2aQgCxTN4wUHwVqAL9eIh8RpwJx/TM5mgkZGfTb9YcXFlZFEyaUMvcc3TINc/3XlkQ2zlKls2ZinXLQNCR6ljjZx/koV6gP1zBqhHXUbN9O5LDgXfEGNM5as2qmHtNI5ENlpmalt3B/DBbMS286UgYpnZ4DBiGwa7nnmXdk9NoPfQ8ev73cWQL4adGrxMI4F80F9epZ+Do3FVsj68Gecs64V6rUl6EHPKLH7r6KsSMQrAnMfxDIEkSXf78l9qMftPdf0JXVZxDTjWdo+a8HJMTXZuprbXI1Fp3wJBlsQN6AQORUGkpyybeyOEtO8h7/FEyRXjtjSD42UfoBw/gGWktdxBFNCsVrfRqh6BaWA9BSSE/shq0dTCP07qC/KGoC/TZFEyeSNk33wDgHT3ePN976/WYe7W8IUj+GuRt6477fTaG/xdBHsxA32/WbPRQiFUjhlO5Zg3uSy9HSknFNyd2Nq/li2VqanbHyFBUfHnRWgORGA+xoWls+8f97Hzsv7S55HwG3v+HJmXwAIF33sQoL8czerzwHm3VEtMgJD++kUgU0epFOJMXNAqBiGYNMoYkMBDzAxHN6HNv/y1Fr71qeoGGQnhHjkXbtoXwkm8b31ibqcW3fJOcCWgt2ogdvnrTzMPHGFPUgf37WTVyOL7dezjtsb/T6uzTRN5iAxiGgX/OyygdcsVmJyJQCpagt+4gVukRHYJqL/TFXsesET2zCZ2QIA+QkJVFv9lz8LRrx9rrJ1P09ls48/rh6NsP37xZGDEyda3XAAyHE2XNj9Oy+X8T5AGSe/Wm//wFOJKSWD1uDOXLl+O5+jpCX32Ouquw0T16h24YqRkoBfFbNnU0ufiHr3UGIg2DvBYMsv63t7Fv9izaTZpM3gN/wynrTZqYM1QV39yZOHr3xdn/JOF96tKvMJJMkTYROIp2mkNQqfHVGMGeUQhE6JPKsaVPxoMkSeTe8hs6330PpR98wJpxY5BOPgU5Mwvfy9Ni7tPyBpuWb9sazmXUh5rTEUfxbkuvAi0xA8nQkf0Nq8fKggJWXnMVoUOHyJ82g8zBA5psFRlevhR10wY8I8aKn/X4apC3rhWu9FBDKKV7bdFrQSzIR89sEJzmPRZIyMyk35x5pPTrx8bf3cGe6dPwjhmPfmA/wc8an7TH7UHvkW/GkB9h+vX/VZAH8HbIpf/8BXjatadgymQOhQ0MpxN/rGxeltH6RjK1OD01LT07MhRlUY7HMBAJFhezZtxYSj/8kM73/JnOf/wTujMhMrpuv5cX/PwT9H178Y6ZIM7G0TS0Fd9GuM9i2bPJmuggPAQFglka5rTr8ezHx0K7CRPp9cSTVK9fz6qRw+H8iwmvXB7TEL42U7NKBLJzzS+6Q/GHoqL88KNZWMXvv8fq0SORExIYsGAhqSedhC433QrQN/NF5JaZwrMTEJly1TTxSq9kj/gQFPUG5QSNQoATlslH4UxJIW/aDFoOHcr2B//Frk8+Q2rXHv+sGTHbelreEOTi/ZZMveOB/3dBHsyyq/+8+bQ89zx2PPE4B5Mz8L37Jlpx485WWt5gs6e2NU5PTZLr+vIWOFrD5vCKFay48nKqN26g1+NP0G68qWdep0Zp7yE2DAP/rOmmhMEZZwvvk7dvgOoq4QdYCtSgVBSJU+NqxJk1GDqyof4oQR4g66KLyZ81G62mho0zX6ZKccXO5t1eM1Nb/V3cTC3a0rL6jJjzFFLt78vQNAqfepINt91KUs+eDFi0mMQu5hmLORltP5MPrysgvHwpnhFjkGKYeDcGpWAJRmIyeqfG/ROORm07zy6zRmRt9MtN4AvhWENJSKD340/SbtJk9s+bS+FhP/5NGwgvbfyLXpSpdzzw/zLIAziSkuj99DPk3nobZVu3s7OsirKnG3dwr8vULKiUWR1Qyg5YDkWpienI4QAEatg7cwarx4xC8XoZsPAVsi6qs+PT63Hl7SC8bAnq5o14Ro2P6xB1NJQ135mCWr3F2jt1omTi/XhdcaK7rGl3ygmgT1ohtV9/BixajLtDB3aXlLPrvfcJbd7Y6Fot3zpT05PS0b0p1oevsoLuSUHxlRM8eJDV48ZQ+NSTZF9+Bfkvz8ZVzwdAk52mxpGAAXh9+F6ehpSSgvuKq8U3aZqpOmmn0isqREtpieG1ZlOha7YG5aJnNijHhz5pBUlR6PzHP9HrsSfwFRWxoypE0WP/aXSt0SILvW0nS6be8cD/2yAPpupg7q230ee551EVJxvmL2T3/55uOCBVO/0av6em5nREMqyHojRvOtXFZayZMJ5t/3yAjDPPZMDi10jqfqT8ry4pZkZnsxz3TX8BOTMT90WX2tqnrFmC0qe/EPcZIqwJSTIP1USuX1Mhzn+OvOemmIUcS3jatWPA/AW0GT6csqDKqnFjqd7YMNBreWb1o6z+LvbFJMnsywswbMLeNIo++4plv76MqnXr6PHQv+nx7/+gJByZtZpqlPYSAXXHNkJffobnmpHIibFtM4+GvG09Uk0VWr9TxDYYBo6DO8WTAH/EKMTmmY3d4cBjjaxLLmHAosU40tLYvrKAzbf9Bq0RP2ktfwjytg0YldYGMscS/6+DfBQtzz2PAS/PItGpsOPxx1k9aiRV645szWj5gy0zNTU74hQVhy+vh0IULn6bT/46lapNm+n2wD/p8+zzOFMayXQkqU43XBChVStMJcHRE2yV4dLBPchFe1EGnSG8x3GwEK1FG7Fy2TDsMWu0qMTwj5fJRyG7Euh6/wN0Hno+ofIKll95Bdv+9U/U6rrBJiMj05x+XRMnyGMmAkpVGVJN7Afdt6uQpQ/8j2WPz8LdKoeBr75OzrBhjQazOu8B8SDvmzUdPB48144Q3gPmF5hho9KTKw+ZQ1A2lCeh+Z/ZNIakbt0Y+O57tEhN4sD777Pssks49MUXR/Too0w9bWX8z8ixxi9BPgJv/wF0vfwy2qSn4Nu+jRXDrmDjnb+vHZ7S8s3sRVkVg0qHORSlZeQ0mqkZmsbBN15n6UVD2fbww7Ts2ZEzn/4Hra+9Lm4mYrfn6ps2FSmjBZ7LrxLeA9SWkcrAU8U22HGCAuRgDbIWttVv1STlhNAnRdH6L/fRpWUyLbt2Zu+M6Sy9aCj7Zs+qtYxT+52CvGMTVMbmuMeTpg4WF7P9P/9m2SUXU75uE3kjLmDQ9OfxduoU83qx1Chjrt+3l+CH7+G5/CrkVLGBI8D8kl7zHXqPfuKVXuQ5UHNi3399KL5yDEk25ygs7+fHPbNpDI70DDrfehu5yW5QVdZOmcTqMaOoXLMaMJl6elpLtO2bT+h9/RLk6yFxwhTSJI0+48fR/vobKH7/PZb86lzW3/YbyjZtRc3thrI6dpCHCE2uqLC2RxosLWXPjOksu/RiNt11J46kJPq+8BID77uDpETrX39dz9WaehUuWE142fd4R41DcttjHChrvkdv2wk5y3pgBUApO2A6QYlmaXaZNU30dT2eULJzSLriarLLisj/37O4W7dm6/1/5/tzzmLXc8/ia9MVyTDiasyrme1MCm2k2jMMg+rNm9n853v4/pyz2PPSi2ReeCFD3nydLhcMxhmKL0ttSAq6pAgfzvumTwVFsSVhACDt34VcckC8VYMZ5HWXGy1djE9vVnqpYqYizeDMpjG4r7qOpBbpdB/Yjy5/vRff9u2svOZq1owfR/F77+G//Z+4rhKfPj8W+HFOLJopHF274zr9LMKvLyT31XdpPXIUe1+eycFXF1Py/vt4WqST6dJI7raQlDPPxpWZ2SALD7Voi++Td9j3zJOUrdtA2ZdfYqgqyX360uvxJ8i88CIkWUYvXIFr/wbQ9bgf6vo9VysRppppU5HS0k2FPDuoOoy8bQPqJWICZkAtVdSOnAFgY1w9TMhh35n+eMM7bhKBN1/Fsew7+s9fyOFlS9n1/HPs/O+j7ATSMpLImvYi3oQMErt2xZl25Ps1ZIUqVzrVX33Bvq82UvrxR/h37UJOSKDVNdfQdsJEvB1ywTAw9n8vrFgqUu2pu3cReO9tPNeMQMnMsvW+o8mNKPMKIsqT2blCQRtMvZ5wquAXwnEUJvshkBMT8Vw3Ct8Lz5Jz42/IuXIY+2a9zP6FC9hwx+040tIZ9PR/cdloi/5Q/BLkj4J38k1UjB+Of95sEqfcRJc/3U3HO35HyXvvUvzqK+xbthTtnnsAkJxOXC1b4khNQ/f7UCsrUSsrI/rk35LQpg1db5xCyoWXkdSt2xGvo3nTzUnaQHw2QX2/13gf6PD6tYS//4bEm29D8oiV01EoBd+bvcJ8O1laIbonCT3Z2jwcItS4hCRwWD+Ukq4hG1qz6McfDSUrG/flwwi8thjvuEmkDRpM2qDB1GzfTskH73No/my2fL0Kvjb73c6WLXEkJaE4FDRNJ1hUhB45lJOcTtKHnELbiZPIvGDoEawZJCky+SqmRulSayzX+aZPBYcT75gJ9t/36u/QOnbHSBP7exMKoBw6gL+jtRk4gBQOIId89uQMwLT9a2bwXDsS/9xZ1Ly+vsiZAAAgAElEQVT4LKkPP06Hm26m/Q03Uv7dtxS9+SaSdGIbKL8E+aPg7NET1zm/wj9vFp5rRyCnpqEkJJBzxZXkXH4FrnsmcNhI4FCv0wgVFxEsKUGtKEdJTMKRkowzNY3sojUkDxqCNuwmMjOTKSlpWHLXlzeIH+TFeq41U59BSknFfZV4Nh6Fsupb9Iws9A5i+jZgluJqdkfhaVSHzz7/uTn1W+vDO3YSgTdexTfzJZLvvheAxM6dSbz5FjqdPQTjoT9QdvbVVOkOfDu2oweCJDhlAoEwGWeeRXKSk5YHC1Am34PUObbuu5aYjqtkp9mqszi3kcOVSIYW8wxDLdxJ8IN38YwYI6xGGoVUcQilcAuhK8YL73EUFSJh2KDXRjTkbRy66s3szCYKOTkFz6hx+KY+Q3hdAc4+eUiyTMZpp5Nx2ukxY8Lxwi9BvhEkXn8z5Z9/gu/l6STdekfdDyQJ46TTyfj4NTxXXwXexulnSe+/iHLoAPGIUponFUOKDLzEUQQw5GjPNXY5Hlq+hPCS70i89Xe2KHEABPwo61egnnWJcMCWfJUolaUEewtqpmgqsr+SUMtcoeXRLE1tpkHezOavIvDaK3jHTkRpU6fBrnfLw5OWSrZUQ/rkO2v/v/6DLdUcJv3le/FVFxMgTpD3ZiBrW5CDNeju2K2ruqG5MKqj8aDnm/Y8JCTgtaFjFEWUFmq3H29Ikm05A9WWY1jz/HyAaTPqXzSXmueeJu3pqT/qvfxy8NoIHB07k3DhJfhfmYdWcqTgmNbvFCRNRVm/LOZ+NaeTqR3ui6NcKStoHvFyPFYmbxgGNf97Ajk7R9gUpD6UdcuQ1DBaf3GRqzrWhHiWJmHYeIBDGDTPUjwK77hJ4HBQ8/zTR/7A4UTLH2KylWLIYBiJqWjJGTgO7Gj051FEKx+lpiz+unotvcagbt9K8KP38VwzAjk9I+61GoOy5jv0zFYYrcWmVgGcB3eiZbQW8hgAM8jrjgQMp6BzmR5qdoeu9SEnJuIdP4Xw8iWELAy/j/u9/Kiv3oyROPkmUDV8M1484v/1Tj1MadlVsbmutePrFkMvIpKyELECjPEAhz77BHXDehKn3ISUYH+8W1n1DUZSKnpXcbs454EdGIoTNbOd2Gs0QbNGP8a+rscaSmYW3pFjCH74HuGNRwqTaf1PQ6qpQt4a2wRebdXJ/HzEG64TdInSZKdpKxnjM1L91GNISUl4bTJqAPBVI29cjdb/VPG/h66bypOCzCuo184TeA3JiJ7ZNN9MHsBz5TXI2TnUPPtkTE2bE4FfgnwMKG3a4v71FQReX4y6u7DuB7KC1m+I6Z4UjpE5tWx7BE0uFjRvOkrIh6QG46+TXSiGVuv3GoWhqtQ8/xRKx04kXCQuMlWLcMgcU+93ivCYOkT68VnthcfJHTVlpp2bW8AgmmiW1rwfYADP6PFI6enUPPnfI4deep+E4UpAWfl1zL1qTidkfxVyZWnsF3A40dzJ1i5RkowesQI8GqEl3xL+/hu8E663x4uPQFnzvSk9PUCcDaKUR+m1YpUehm76DNhIAqD5ntlEIblceCffiLphHaEvPv3R7uOXIB8HiZNvRkpIoOaJR4/4f7X/aUgBH/Km1Y1vdDhRs9pbKlLWleMWmVqEZXJ0Xz7w9htouwpJvPFWWxo1Ucib1iD5faj9BQegwPxiKN0j/gBjvj9VMEur9XVt5g8wgJyYROKkmwivWk7omy/rfpDgRutzMo5V35oU2UagtjIHhERaNmLVnrMBV97QNKqf/C9ym7ZNauUBKCu/Rk9vid6xu/XiCOy28+RANZKu2urHQ/MP8gDuiy5Dye1EzdOPY4Saphb6Q/FLkI8DuUULvBOvJ/TNl4S+/6b2//We/TE8iTiWfxlzr5ptaocbauwDU/FyvCHDRq+spOa5p3Dk9cN15jlC7+doOFZ9g5HgQe8pYMYc3VO8y5SObSU2xYhh2FIWlA0VCaNZ91vrw33FMJT2HcyHuF4PXhtwGtLhMuQdMQTN0rPRE7yWLT3Vm4EcqIQ4B+9AnfxFvYoi8PYbaNu3knTz7bYkLuou4ENZtxxtwOnCXHcwv7h0T7INeq155mBnUM6g+Q1CNQbJ4SDpjrvQ9u7GP3/2j3IPvwR5C3iuHYncth3Vjz9SF7AdTrR+p5isgxhBXG3VEUnXYH9hzGsbLg+6IwGl2n7PtWbq0xiVh0m+656mCTTpGsrqb9HyBoFTPAA4DpqZp3CWFqpB1kK2HmBofkMusSA5nCTefDta4Q4Cry6s/X8tb7CpXBqrZSPJqDkdcQpk8hJ1FMOY62TXEd4Dhs+Hb+ozOPr2w3Xu+bbeUxRKwVLzUH7A6bb2OQ7sQG3VWZxeW1OOgSROsf0JnNnUh2vwqbjOOoea6VNjypkfT/wS5C0guVwk3XYnWuEO0xQ7AvWkM0w3oI2Nt2yiGuvGnq1xLm5+sB2++OyJup6rGQDVLZsIvLoI97BrcXQVL6PrQ966HqnqsHmgZgOOAztRM1phJIgNXNVpyIuxOmqFyX4CpXgUrrPOxTloCDXPPV3HxvIkovfsj7Lym5iHq2qrTigVRUj+6kZ/DnUtPau+fG1LL9LKqHnxWfRDpSTd/vsmqzQqK7/GSElH79JLeI9cVYZSXU5YtNLDzORNOQOxluNP5cymPpJuuxM0jZpnHj/hr/1LkBeA64yzcA4agi/y4ADovQZgeLw4VjTesjG8yWhpWRi7t8S9tpqYEdfPMwqz5xrG0HWq/vMgUmoqiTfc0rQ3BCjLv8BwJQibMQMR1oS4dCzUleKqLY1wCb0ZDrnEgiRJJN/1Zww1TM3jdXriav/TkA8VIe3Z3ui+qHBXvJaNnpCErjgFaJR1BjPhTRvxz5+N+4qrcPYRmzg9GkbAj7J2KeqA0+wdykcqE7VVZ+E9VgOBR96YeWbTXGcoYkFp0xbvqHEEP3gX3/L4ftHHGr8EeQFIkkTS7+/GCAap+vc/TSaF04WWf4qpShmDDx1u1Rl2b415+AYRP09da9TP84h1kZ5r8N03UdeuJumW3yInCxgxNHoxDceKr0y3GrcYLxlM1oQcCoj344k8wO4kcIj1T2uFyX4ipXgUSrv2eMdPIfjJhwS/NVs0Wr9TMGQ55tmNmtUeQ3HEP3yNVHtWh6+65MBAQg77qX7w78jpGSTe8tsmvx9t5fdIoaAtVg2YQd5wJqC1aC20XgoHUUI1wpVe7ZlNM5S8sIJ37ETk1m2o+uzEMm1+CfKCcHTIJXHKzYS++JTgxx8AoA0802zZbFrV6B61VWcI+k23qBioK8etMzW1pJTqJx7B0bcfCRf/uonvBOTNq81Wzcln2dpXm6UJSseC2WbQvOIDOCJCbM0V3tHjUTp0pPo//8QI+CE5Fb1Hf5RlXzTOk1YcqJntcR606Mt7003j93hca0lCk51UL3oFdfNGkn7/p6YnAYD63eemoXu3vrb2OQ5sJ5zTUfigtrbSs9GPh59WOy8KyeMlY/YrZN3xuxP6ur8EeRvwjBiDo1cfqh95EL3skGkL6PbiWP5Vo+vraHKNl+sQlTeQLTM1VXJw4NFnIBwm5d5/INlgOxwNx7IvMRI8aH1Otrfv4E70xFT0ZMGgrYWRA5XCDzCGjqyHfxKsicYguVwk/fEv6Af2U/202XtVB52NXHoQfcv6RveorTqhlOyJOXMBkWpPCyMHY/fuAQJFZZTNnIXr9LNwnfOrpr+RYABt2TfmeY0Naq4UqMFRftBmqybCrBE9s2nmukZWkLxeJMeJVZP5JcjbgORwkPzX+zF8NVQ98mCkZTPElGFtpGWjJ2dASkbcII+soHnTLDP56tdeo2bVWtJuuQWlnZjdXqNQwygrvzYfYJe9CVnHgR1mlibYSjHlDOw8wFGN8J/mAwzgGjAQz/DRBF6ZT/DLz9D6n4bhcKJ+9VGj69Uck4XlKNkd85qqwDyFEQ5T9M+HkWSZpDvv/kGWeErB9xDwoZ5sj5pb14+3Uen5ytGdHgyXuJyBjtwshcmaK34J8jbh6NiZxMk3Efr0I/yvv2K2bGqqkDeubLhYkpDadzNpcnFKbbPnGjvIqzt3UPXMUyQOGkDKJUN/0P3LG1Yi+apRB55pb1/lIZTqcltZmqOWWfPzG3KJh8Sbb8fRrQdVD9yHVl2N1ncQ2jefgq41WFsrgRGnL69500wKbZzPSM0zjxPauIlWv7sZV6agHHAMKEs+Q8poid7dbqtmB4asoGaJa9woNWWogkkA1Pm6/tTObH5M/BLkmwDP6PE4h5xG9SMPEsCFkZiM47tPGl/coRuyrzLu+LqamIEcDiCF/A1+ptdUU/mXPyB5PGT9/nYchrgVYGNwLPsCw5uELujTWbtvv1mNqK27CO9RasowFCd6gpj5R22/9Sfak49CcrlIfuBhjHCIqvvuQR14Jkb5IeTNBQ3WGu5E1PSc+NWe4kR3p5h9+UYQ/OJT/PNn4736WlLOGGLb+P0IVFeirFuGcsb5tlg1AM4D2025C8FDdnQNxXdYOAmA5uXr+lPBL0G+CZAUhZT7H0LOzqHyL38k2Otks2Xjb2jcILU3NdqjQbIxRNsZR7dsDFWl6q9/QivcQcr9D0FmtrDNW6MIh0zzh/6niT+IETj3b0V3J6JliDn3QDRLE5QzIOrr6sA4waYKxwOO9rkk33kP4VXLqfxmKbi9OJZ+3uhatU1XnAd3gtYw069dE6Pa0/btpeqBe3H06k3ireaB3g8J8o4VXyFpGo6zLrC3MSp3Yacf7z9smtWIZvKGjtLMfF1/CvjpP00/EuSUFFIffhy9uoqyr1dAMGgOvhyNlq3R3Yk44x2+Rj7kRz/ENU8+Sujbr0i6825cg09Bl53mRKMFpz4WlIIlSAEfqk1WDZhfUuYUo+BHxtBNZo2tUrx5y8faRcLFl+G++jr8C+ZQ5Uw3p18bOWANt+5iUglL98S8lpaYgRKoRlLr9mulJVTcfiNIEikP/BsSPLb8XhuDsuRT9Jx2yB27WS+uB9tyFzRNQx5++pXeicYvQf4HwNGl6/+1994BdpXlovfvXW3vPS2TmUx6gYQUEjAgJYQWQ5USQihH8Ah47V4LcvUgft9RzveJgu3gVc/x6DlcuFdRARFRpEoTCDUIIT0khEwmZXrZdbX3/rGmZDJtr7Wnz/v7K7Nmv3s9s7PeZz/vUyn95/8fZ8d2ag+k0V96ssdrhBBBW9l+fK7SsPBixd2UfPq+e8nc/xsS115HYl0ws9U9bN5rJHnXP4VfXol/7Amh1mnJJvS2BpyZ+VtpWqatvelUvlaaDI7i42gDCyEouenrxM69gMb1G0jV1KFv3tDjdR3Wr7n/3T7fyyvpbgj4Lc20fPmz+A31TPrXf0OfGQwucTt62ESRt+EQ+s5NuCvOCR24NQ7sQiJCFcoF3Ul1/ER+qZ5jOX1yJFFKvkDi511Iyf/7L2Qb26h/8nnY3zNLwp2xIBgikup7VpRXXBH08JCS1P/6Bak7v4919mqKv9g1mapDAUbaxC2NaJtex1t5Xmhfq9GufML4443O1Lj8goBCemj4424DC12n9NbvUHTaaTTsa8H+7T09XiOLSgO/fE3fSt5t/xz1VCN+KknLV/473r5qJv3wJ92qWj29Z6OyfNHb3UneivAN78z97+JVzsy73QV0tDMoz/t02JU+OX5Oe8OBUvKDQGLNOspu+hq5pE3LTV/Ab+muzDv6eJgD+OVFqpnkHd8m/ct/J3bRpZR95wfdWggfXroeFuOVp4Pj9Onhm1UZNe/iW4lg0k+e6KlGpNCCniT5vH6M5z/3h7As5vzHLzBnTKPx+VdI/dudyCOqoN2ZxwRFUb1k4EB7Mzszgb99C82fug53x3bKvvtDrJNO7fY6T7PQpN9j9sCASInx6jN4C45FVs0It9Z1ghkDs/I3Ajq6k4bLrAliNnm7DBVAAUp+w4YNXHXVVaxdu5YbbriBmpqawZRrzBH7yHVUnLQUe281TR+9gtxh/cW9KbORZgxjf9/NyrJtOWr+6w9kH36QxPWfoPRbtyHMIywWoeEJI7wlLyXG+qeCDTw9v2lOh2MeeBd35oJw7WZTDYGVluepwRgnmTV9oZeWUv6vP6O4PE76V/fQ+o3/gZ/qKm5yZrX75ev29fkezZv2cOBfvoff3MSkO/+N2Jk9Yyv5Dn4/Eu39nWg1e/BWnBtqHbQP7fZcnFn5+/GFnUZzc+FjNuP0+RhKIiv5f/qnf+K2227j4YcfZs2aNdx2222DKdeYJHbVR5mxoAJRXETrV79E223fwq6pAU3HmXkMZk1PJS+zGVL/+e/Ufv6LZN6rofxznw76f/fhE/X6mADUH9qeHWj738c9PWTGBMHQab2lPpSrBinRk42hN7BE4ItxPFv+6EWUn3Uq5YvnYr/4NxqvWkP63v+NzGZwZwSfb29+eWfzO7Tc8j+o++W9xGdWMfme32Kdelqvt4jq0tNfeAxpxXBXnBPyjwKzZmcwtDtUDUWHOy9EYzJvbAyTGW1E2lG2bXPjjTeyZMkSABYvXsyvfz0yDfFHE+6pq0g88EumrjiHlrRB+lf/i3cfeRjzgyfjLjuGkrqdeG+9hpw0BXfrZuxX1mO/9jKyuYnY+R9mxhlHIxeeQLqfe3i6RcxuC3yu+aYmrn8KaVp4J4fPqulQOk4IJd9hpbklYTNrxl5jsrB4Z13EpD3/E+3W/4+2Pz9C6qf/SvrX9xD/8CXQmMH8+yu4lQvw9u3Dr6km9/STOG+9iSgppeTaa5h54jRai0z6csZ0NCozPIf+h0oeRjaN8eqzeCefDUXFof8mo2YnXtUcZCxEs7tkIxLydtd0xWyUPz4skZS8ZVmsXbsWAN/3+dnPfsZ55xXQK2O8UFyGd/IqzNefp/iHvyG+9gr0F/5K4+9/T9Ov3qAJ4PFPd75cTK7AOu104muvxDrxJLR3HkckG/q9hadZaAQ+V5mP1evYGK8F5fWRNvD+d/GtOF7lrPzXhAy6QtBH3jHioeUba3inrELe9x8kDu5C/+kvcN56k9Q9/0nmD/eTyeWAV+GXXXMLtOkzKP7KPxFfsw5D9xEb/oCRasQrndL7DYTomhKVJ/przyFyGdyzLw7/Bzk2Ru37ZD/woVDLjFQDfmIS5NlN0ugcJhN+WP1EZ0At8dhjj3H77bd3uzZ//nzuuecebNvmlltuwXVdPvvZz4a6cWVlflWQfVFVld9Q6OHGu/xqsi8/Rfnm9ZgfXgfLlzDlC18gu20rzi++jZwyB44/ndjCRcSWLOnWaMyvmo58bxNTKov7bEAm0xL211FZqiOKBv4M3BeeIpdOUnLxWvQ8P7PDP1vv0G6Yt4iqafkFUAH8hiQSKJ83B2EMfLyWvg8tDnrpFBIV4f5fR+tz0BuBrKXkzjgX8cpzlH3ha4jzV8H5q5CuS/apP5G97y44aw2x5Sdjzp2LUVXV6bqTUuK/bVHitVHWz98tvSLIpvL+bDKvPImcezQVK07t5ibMZ73ctRnf9yhe+gFKQvxfeG82ISpn5i2jbM5ACiZVTe71mRpLzwEMr7wDKvmLLrqIiy66qMf1VCrF5z//ecrLy/n5z3+OeWSQcAAaGpL4fvg0Lwg+oLq6tkhrh5zJc4nPWUD2kQdp/uC5VE0to74+CVPmUHzKSoyDe2hZeQ62ELQ1dK+QtbQySnyPpr37+vRVar5LBZBsbCGbGti1EfvjfYiqGTTOWAx5fGaHf7Yi2czkhoOkF60gG+LzLqk9gB4vo7EpB3k4DXQvx2SgNQN2iPuM6ufgCA6XVTv5HOLPPkrTE4/hHZbtJJauYPL8R0jPmU5qXvvEr/runSdLiyYj6g/S2s/fXeQIEq5NfW3LgJkoYu8uEju3Yl/zeVKH3Svfzzax5W3imkZ90Yy8ni8AYWeYnEmSMsryfq6KM63E0GhszILo/kyNpecAosuraSKScVxQ4HXevHn8+Mc/xooyJHi8IgTuqkvQ9u1G272t26/cWQvRU81oLXW9LnVL2nOh+3HZ+MLAR8vrOK7t2YG+awvuOWtDZcZ0YO4Lplo5s8NVP+qpxnD++HGeWXMk/sLj8KfPxnj2T93y2WVRGd7kaRi9BOg78Eoqg8Hv/VQ9hymaM154DGlauKeFD7hCEHR1p84DM383Soc7r+N5zwfda58zMM5jNkNBJCW/ZcsWnn76ad58803WrVvH2rVr+fSnPz3wwgmCu2J10Gf++Ue6Xe9IMestywbAT5QhNQMj1Y9fXgg83cwrV9545mFkLBEpqwbA3LcNP16S95QfaJ/0k8t/0g90ZNZMoCIXIXDPuRx9zw60XVu6/cqZtShogeH1Pm3MbZ8kpmf6KazLN8Mmm8F49Wm8k86C4ggDRuwsel017syFoZZ1GDHhnpGcyqyJSKTA69KlS9m+fftgyzJ+iBfhnnYOxotPINtagcD68CdV4RdPwqjZSW7ZGT3XCYFbUtGvJQ/gaTFMt2cztG60NqG//jzuWRdFCrgiJea+HYEVH6L4pGvSTzgl70+wIhf39PMx/3gPxlMPYh+zrPO6M2cJ8U0vtBcX9VSenX2Oko19zkXtVjTXz/em8eLjiEwa90NrIv0N5oFdCOnj9CJnfxipBrx4KTKPeA0EmTW69MhOkJPeYDNxdtUw4666FOE6OI8/1HVRiMBSq9nZ53HbK64M+rD3cxz3NAtdev1WNRp/exThOrjnRBsTqDceQMu04cxZHGpdZ2ZNiKO4Mc561uRFLI676hL0v7+MqOsaD+nMPAapaZjV23pd5hVNQmp6/4O98ymac12Mp/6At/A4/AXHRvoTjJqdQf/46UeFWqcnG0O6asZvNfRwoJT8ECFnH4133Ck4j9wHuWzndWfWQrRsEr3xYK/r3JJKhO/mdxzvy2XjOhjPPYJ33MmRKlwBzH3BSc2dHU7J66lGfKsIaeaZDillV478BMNdfRloAuPpP3ZdtOK4047u/Px7ILRgklhygJnAev9plPqGv6E11uJceHUU0YEgZuNOPxrytMgBhJNFzyXDpde2/x3uBHxGBgOl5IcQ5+JroKUZ48XHO691HMGN9qDmkXR2G+xnEw9Uuq6/8Te0lkaccy6PJDeAUb0dr3wqfkn+Ax0AjLb6UFaaJl0EckIqeTl5Ct4pH8J48QlId7nfnDmL0ev2ITK9z3R1iyvRUw39TxvTrMAI6O01UmI+/gD+jLn4x5/a8/d5IFItGA01OHPDnQI63XkhC+UkAn+ixGwGGaXkhxB/4XFoS5djPPEAuEGmg19agVc+FbN6a69rvMSkIPjaj1/e08xgHFxvSt7zMB/5Df6so0JPf+p6DxfzwC6ckFa8cG30bGu0o/hEc9e045y3DpHLYLzwaNe12UsQyM7spiPxSirRPAct23caXlA0J4P5A0egbXkTbd9unAuvipR1BXS6k5w54ZS80Rl0DfeMeJoa+RcVpeSHGPOqG9Ca6tFfeabzmjP32KBdQC8DJBBa+xSgATJsOiy1I9BffQbt0D6cy66PvIGNg+8hXDu0ku/MmijpoxqztzUT/Cgu5y3EW3IC5hO/h2ww/tGrmoMfK8Lc17tf3m3/fI1k3yMl+3PpmU/cj19eiXdq+JbCne9RvRW/qCxU5hW0B4xjJcgwKZcT1J03WCglP8ToJ67An3sM5mP3dbaRtecuRXguZh9dKb2SysDnOlDw9UhL3nUxH7kXf+4xeCeeHllmc992pNDCZ020K51Qlrxv4wsNKcL1uB9POJd/HNHWjPHX9iC9puHOWoRRvb1Xd4tXVI7UdIy2fuYG9+HS097djL71LdxzLwczouL0fczq7ThzloS2ro1UQ6igPNJH850Je9IbDJSSH2KEEDgXX4NWW4P+2vNAMEREGhbm3t5dNm5xEHzVMv0cx3UrKHY5TAno659EqzuAfdl1BR1tzX3bcafNAytcLxkj2dBupeW/zvBsPC02oY/i/oJjcU84HfOJB6AtCLg7cxYHhXPNh3ou0DTc4v5TbaXQ8cURRXNSYt7/S/xJFUHQNyJG7ftouXRof3zgzmsLmV7rIFCZNYWglPww4J14RmDNP3hXcCQ3TJxZx2Du3dK7pdZu6fTvl++oamzfxI6N+Zff4B29BP8DKyLLKtNJ9Nrq0Fk1AHqyvtOVkN/NJLqfw1VWGs66j0Mui/no74Kf2z//PlMpS6YERXN9nfaEwNNinX36AfTXn0d/b1twr1j0ZnDm3q1IIcK78yKk13a689QzEhml5IcDTcO+9r+jNddjPvpbAJy5S9FbG3ptcdCRC91f5at7RFWj8fxf0BrrcNZeX5BVLN/diEBiz1saal2QGpfCK81/AwvpocnxN/IvCnLmPLzTz8N47s+IhkP4ZZV4k6r6VPJBqq2Hnm7u8z1d3UL3c4EhYecwH7wLf86CYARkAZjV2/CmzkPGwxXZRXLnqRz5glFKfpjwj1mGe9q5GE/9AVFbgzM3UKLm3i09Xyw0vOIK9P4Ca4dVNYqGQ5h//N94y07CX/rBwgTd8VYQUKsKl1/f4R8OY8l3tY9VGxjAuew6AMyH7gl+nnssZk3vAfqOz7k/l83howCNp/+I1liLffVnQs/4PRyRSaLX7sUO6aqB4BkJ685TI/8KR31yw4h95SfBMLF+9x+BpVY+tW+/fMmU/oOv7VWNmpfD+tX/BCT2dTcW5tv2XOS7m7DnLQu9qfRkQ/sQiDBWWtBN0NNUj3AAWTEV98KrMV59Bv2t9dhHHYfwnF4Lo/xEGb5u9ht87ei9bjQdxHz0d7jLT8M/9oSCZDT3bUcgQ6dOAuht9bh99cHvgwlZDT3IKCU/nJRX4lz6UfR3XkP/+/p+Uynd0ilB5Wuq7+O4p1tor/4NffMGnCs+gaycVpB4xoFdYGdxjjou/NpkfTAEwsi/YEX3bXw0/AmcWXMkzqUfxZ89H+v//Bi3eAq+lcDa807PFwrRnoXVf4aN9H2Mu7WGoysAACAASURBVO8E38O5qvAmguberfjx4tAnPWGn0e0UbmlV/osmcDX0YKKU/DDjnns5/pwFWPf8CLtkap+plB2bwWjrvS0xgJvM4P3xPrwFSyM3mToca8+m9qBwuNbCSIkRNujKYVbaBM6s6YFhkvvU1yGTxvrNz7DnLMHcsxn8nic6t2RK0HbY772HkRQ6zjN/RWzfhH3tF5DTZxcmm+9h7t0SpE6GrMHoOHGEqaHoqIZWQdfCUEp+uDFMcp//ZvDPh36FLwzM9zf3eJkfK8E3YhjJPpS8YyP/z8/BtnGv/2LkwqdOpMTcswmOXho6f1rYaTQnixsi6AooK60P5KyjcC6/AeOt9XhJBy2bxDi0p8fr3JIpCCn7bFam7dyE+8QjiA+uwDsjWrvpwzEO7EbLprCP/kD4tW11wbDvMOmTyp03KCglPwLIqhnkPv0NxP73sQ+1Yu7e2NNSEwK3tKp3n6vvYf3X9xA7NmP9w7XoVYW5aSDoOqm3NSIWLQ+9titrIn8rTfgumvRw1czOXnHPvwJv0fFoTz2M15bB7MVl0zHntVeXTWsT1n/dAZVTsa78yKCclqzdbyN1M3R+fIeMXlEF6Pl3NzcmeMuLwUIp+RHCP+5knMs/Dvv24r+7C2P/rh6vcUunoGVaEO4RBS2/+TeMN1/EufrTGCed2mnxFELHaSKakm9AChFqCERnZo2y5HtH08l9/lvI6XNwdlVjbPhbj5f4VhG+Gcdo655hI2r3E7/jJkSqDf+TX0GPmQi/9yEkeSN9rPc24sxdEmoKVMdaI9kQOuiq+zk8YUzoaujBQCn5EcS96CM4Z1yId6gR667vd+tECIFfXkBXKmU2g/mbn2E+/xecC6/GueCqgfuG54m5ZxNu1RxEabiuk9CeGlc0OVRq3kRvTJYXJWVkv/o9ZMUUvI2bMV55qvvvhWjPwuqy5MX7OwMFn0mR++r38dpnxRoFPiN67V60VAv20eGNAD3TgvCccEFXVGbNYKGU/EgiBM4NNyGWnwg11cS/+yW0He90um46glRGWx3aO68R/5fPYj73CM55V+Bc+cngNXoMo0BLXqRbMQ69jx0hqyaw0upDb2Ddz7Vn1kQaTjZxKCkj9+VvI+IW1l0/xPrl7Yjams5fuyXBaY/mOoxHf0f8B19DWjGyX/9X/PlLBp49kCfW7o1ITcM5atnALz4CPUINRUdmjav88QWjdthIIwTOBVdSlG4gt7+J+A++hl8+Be+kM5Flk8lt2YD22DPEDx3EnzGX7M0/wl/YpYxd3SLhpoKqxoh+V2vXW0Hu8/wIVlq6ud1KmxpuncqsyRt/xlFoK1fi761Gf/tl9DdfwDvhdGR5JRIPZ88mEr++H+G6eEs/iP3fvoYsD4LgXYPfCzAEpMR6722cWYuQsaLQy422enzdwk/kP0c26FkjO3P9FdFRSn4U4Mw7DjGpFE49n1x8CvqGFzCe/wvCdZAlpYiyEnJXfAL3vHU9Ml88LdbZwybqhojt3IBbOQuvYkbotUZrLQBuWcijuG9jGxFmz05QnIUfpKj5IM3/z4/Rn3sU/e2XEdk0ZDP4ugbLTyGz5r8hZx3VfaEQQTO7Aix5vfEAeks92RPOjbTeSNYFQeIQX+gdX0oqfbJwlJIfBchYAmfOYqx9W8n847fwTjsnGBkofWJN1RTvfoXMSRf3mtp4eA+bKEpea63HOLSH9GnRuhIabXX4ZgI/VpL3GuF7KrMmJPaikyh6/VGsQ7vI/uMXcf7xi8EvpKT07w+DVdRTwbfjaRbWQIPf+8Hc/TYSEc2d5znoqWays8MVT+mejUQF5gcD5ZMfJdjzl6O3NaLXVQcXYnGIF3VmJPRVvu5pFhIi++WtnW8G9z/mxEjrjdZa3LKpkaw0tYHzxy+bgjP9aKwdb3TvXCoE3qTpQdFcHy0wXD2GJr1oGTZSYu1+G3f60cii/N0tHRjJxqCgKXQ7g1ww7k/1rCkY9QmOEpyjjkdqGtaut7pd94ontw+I6KMoSmh4mhntOC4lsZ1v4MxYgF+af/pj563tNHouGSlrAlRmTVjsRSdjNB1Er6/pdt0tm9reAqOp13UDzQTuD71+H0bjAexF0UZJdjy3Yauhg6Crej4GA6XkRwkyXowzZwmxHa93L1MXGm5JZb/tDTwtFimwpjfsR286hL0wWufKDpmcspBBV5VZEwl7wYlITcfa+Xq36x1B776ekc5GZRFOe7GtryB1E/uYqM9ILV68DGkl8l8k/YJiTIruKCU/isgduxIt3dqjM6VbNi2Y+eo5va7rmhLV97jA3rB2bkBqGvb8aJ0JjdZaZHtb5FDrvFywgVVmTShkvBhn7lJiO9/sViHtx4rxrURnEPxI/PYpUUbY057rYO3cgD3/A5GyapASo/UQTlm4iuyOaVAqfXJwUEp+FOHMXYZfVEZsy8vdrrtl0xBS9umXd/VY9ylR+SB9rHc34MxZgkzkHzQ9HLOtLvC1hulPLiW6Z6usiYjkFp2Mlm7FqNnRdVEInNKpGG29K3mEwI1w2rPeewfNzpBbEm3SmJ5uRnNt3EnhTnodJw7lzhsclJIfTeg6ucWnYu7djEh2tRh2SquQCMzWXuZ90uVzDWOpGTU70ZPN2MdE87Xie+jJhtD58Zp00fBV06mIOPOW4VsJYjve6HbdLZuKnkshcr1n0XQWzfUybrIvYttewSutwA050L0Do/15dUNb8iqzZjBRSn6UkTv2NISUxLa/1nXRsPCKKzBa+lbyEkJZavF3/oYfL8GOUAAFQcMpIf0IQdeO/Gel5CNhmNgLTsDa/TYil+683PFla/bhlw9OexLN793ldySypQFj3w7sxadGznAxWg8F/XVCpNdC0H3S01Sh3GChlPwow59UhTNzIbFtr3TzsbuTpgVth3vrHS4EnmblbclrLfWYezaTW3Z6qCEfh2O0tmdNhA26KiVfMLllZyBcm9jWVzqvecUVSM3o0y/fcXIy8jQE5NsvIZDkFp8aTUgpMTv88SGVddCzRj0fg4VS8qOQ3LGnobc2YNR0DRNxyqYhfA+jj5merh7LuxtlfNMLoAmyy86MLGNn1kSIeZ3QHnRV+c8F4VXNwZl5DLF3ngev/Utf04JmZX0oeVcPUU/he8i3XsSZtRC/LNyMgA60bBuanQltBCB9dOmo9MlBRO20UYg9fzl+rIj45pc6r3VsFqMfv7wuXYTsfUpQ15tnsba9gj3/BGTxpGgCStleBBXOVQOBS0llTRROdvlq9GQz1u6uugq3rCoYINJbFpbQgmckDyVvvft3aK4ne9xZkeXrbHcxKZw/vivoqp6RwUIp+dGIYZJbdgbm7o3ojQcAkGYct6i8T798h/tjoE0c2/E6mp0le/yqyOLpqUY0N4czKWSvG+mj+47KmhgEnHlL8SZNJf72s53BVLdsGgKJ2ZfLRrcGbjksfeJvPgVVs3COPj6yfGbrIXwjhpcoD7VOxWwGH6XkRynZ5avBtIi/8UTnNbdsGmZbba/58K4euE36PY5Ln/g7f8OdOg9v+lGRZTNbgi+esEre8Owg/1lt4MIRGtnlqzDqqjEO7AaCojQpNIz2/58jCdIoHUQ/9RTme+9gNB1EnHlxQS41o/VQ6HYXoArlhgKl5EcpMl5M9vizsXa9hd6wH2i31DwHPdlzpqcUOr7Q+1Xy5nvvoDfXkj3+7IJkM5oP4iUmhS6Q6ewsqNw1g0Ju0an48WLiG58NLugmbmkVZnPvSt4b6LQnJYk3n8Irm4JYFjHgSnu7i2xb6NRJCIwUVxXKDSpKyY9iOq35DU8CXe0Des2XFwK3vwEinkvRy3/CmzwNe0G0ZmQA+F6QNTFpeuilhpdDIoLGU4rCMa3ArffeJvTavQA45TPQU40IJ9vj5e4A7Q3M6m0YddVkTzwPEabA7cj3aXcXha10RcquamjFoKGU/CjmSGtexorx4qV9Bl9dvb2qsZeCl/jG59Fb60mfvg706BvYSNYjfBenPELveWWlDTrZ5ecgEyUUv/B7kD7upBkIwGg52OO1/Q4QkZL4hifxisvJLT6lIJmMloNIzcArCdfuQvftoGOlUvKDilLyo5wOaz7x2l9AStyyaUHwtTe/vNZ7ewORbiWx4QnseUtx5h5bkDxG8wEk4JaFtOSlDDJr1AYeVGQsQfr0tRi17xPb+ipu6RSkbvbushGiz3GR1vbXMA/uJnvS+aAX4A+XErOpJjjphfTpd9VQhEvLVfSPUvKjHBkvJnPShVh7NmFtfw178iw0z+61j43XGXztflRPvPYoeA7plZcXLI/ZchCvuBJphlPWmnTRpGpnMBTYC0/GmbGAxKt/RuQyOGXTOoPjR+J2TIk67LSnJZsoeukPODMWkFt6ekGyaNk29FwSZ/Ks0Gs73HmqncHgopT8GCC7fDXOzGMofuH3+MIM+tg01fR4nacFvzvcUtMP7iG29RVyx52NPzl8IKz7DRyMtrpIrhpV6TqECEH6rKsQuQyJVx8J/PLZNrRsssdLXT2Gho8m2weISEnxc79D+D6pcz5acJGa2Rw8l075zNBrDV+1MxgKlJIfC2gaqXM/htQNip+7D7e4snMzdeOI4KvWWk/p4/+JXzqZzMkXFiyG2VqLkH7EoKsaFDKUeJUzyR1/NrEtLyMag6ro3lIpO9sbtD8jsa0vY1ZvI71yLX5ZuMEevWE27ceLl4Ya2g10Bl2VETD4FKzkt2zZwnHHRZj9qAiFXzKZ1Kp/wKh9Hw7tx2irR9iZHq/raG8gMklKH/kF+D5tl3wuWj/wIzBaDiKFFr5UncCF5AkTKaIHfRX9kz71EtwZ80m89Af8VLpXv7yrx9rbG2Qx9m2n6KWHcGYtCvoYFYrvYbYcjGTFB+48Nfd3KChIyWcyGb797W/jOPl1tlMUhrPgRLJLT8fcvQmq92DW7+nxGlePIdwcpY/9J1qykeRFny7cTdOO2Xwg6Dqph0+BNLwsrqE28JBiWrRd/Bm8KXMQu3dgVm/tmWnV3t7A3P4GpX/5D7yySpLnfmxQegkZrbVB5lUEf7xy5w0dBf3P3nHHHdxwww2DJYsiD9JnX0361EuQzU0U/fU3wbzPjkwb10bf/DryT79GP/Q+yXOvw50xf1DuK3JpjFRDJCtN+B66dFXWxHBgxWm75LP4ZZPR3t1K8fO/RWtqT7mVEq21AfnWy+jrH8OduZDWdV+J3sPoCMzmGqTQItdQgOpZMxREzpV6+umnyWazfPjDHx5MeRQDITSyJ12A4bRivvMykx74PlI38coq0bIptEwbTJuFfc4/4MyLNtavN6zGagDsyrmh13Zk+yglPzzIeDFtl3yOSY/+O9a214PUyqlz0ZLNaOnW4EULlpJafQOE7CLaH2bT/sCVF+mkF3QnVe68wWdAJf/YY49x++23d7s2f/58kskk99xzT+QbV1ZGGznXQVVVaUHrh5OhkNU/4XRkthkxbQEil0U0BtaatuIC0FwSRoyiiPftTV5v534onkTF3NmIkNkPsjEJaZg0dQqigEKs3pjoz0HfNyvFO2ElZNKIogqMHW8hFiyDOcfA1FmQa6WizECU9C1TGHllJomfbkIsOz3S3ynTDiSKI39GY+k5gOGVV0gZYh5YOw888AC/+MUvKC4uBmDbtm0sWbKEe++9l5KS/JR3Q0MS3w99ayD4gOrq2iKtHW6GSlbhZCl/7T4yc08gO6f7dKeS9AFMN0NTWXhXTa/yujaTX7uP7IxjyRx9cuj3LE3VoPs2zaVHh17bH+o56J/4vk0Uvb+B5pOuxI8fti+lT2Xru2RiFaTjvWfUhJXXOrSTknfX03LCmtCD3YX0qGzdRSpWSSYevn/9WHoOILq8miYiGceR3DVXX301V199defPixcv5uGHH47yVoqISDOOVzIFs6mmh5L39Bhxpw3hu0it8G5+VlNNkDoZwVUDwVHcMRIFy6EIh105l6L3N2A27iU3c2nXL4SGp8V6FM0VgtW0D99M4BVNDr1WBV2HFpUnP4axJ8/GaKvrMbzZ6aPyNSpm4158M45bGj6PWviuCrqOEH6iDLeoHKthb4/fBfUU2VCDvfvEdTCbarCnzItUyGSqmM2QMihKfvv27YPxNoqQ2FVHIQDriFRKV48j6do8BeF7wQaePCdSml1X0FVZaSOBUzE3SG08oiulq8fR5GGVrwVgNVYjfA97SjR3nOFm8YQxKKdORU+UJT+G8ROTcIsriNW/1/0Xg3gcN1oOonkOTuWcaOu9XNDQTFlpI4JdOTeYFtWeHdWBYwzeac+qfw/PKg5qKCIQ1FAod95QoZT8GMeuOhoj2YCWae123THiGG7hx3GrsRqpGeFH/bVjetn2fiTqURsJvOIKvFhxD5eNp1ntfY4KU/LCyWE274/sqtF8B126nS5GxeCjdt4Yp+OIbB1hzbt6HI1gpmpkpI/VuDeoYIzYftbwssqKH0mEwKmYi9m8H9zDngWh4eoWhjvwYO/+MBv3IqQf3VWj/PFDjlLyYxw/VoxTNhWr7r1uVnvXzNee/W3yxWzej2ZnyE05KtJ6zVf9SEYDduVcRPsX9uG4erzg4Gus/j28eCleSfjURwj88YE7Tz0jQ4VS8uMAe8rRGJkW9HRT5zVPs/DRCjqOxw7uwDfjOBVR/fHKShsNuGXT8OJlxA7u6H69/bSnRTztCTuD0XwQe8pRkdsDm162fVqYUkVDhfpkxwH2lKOQQgTWfAdC4OpxTDeakhd2GrNxH7mpx0DEeZ+Gp6y0UYEQ5KYvxGyrRU91GQJdM1+jPSNWw/sIZGRXTdBeOIurq6DrUKKU/DhAmnGc8pmBX/5wl40Rb5/52nNU4EDEDr2LQJKbtjCyXIabDfqXKyttxMlNPQYpNGKHuqx5T4sFA2iiKHkpidW+i5uYhFdUHkmmrpmu6qQ3lKjdN07ITT0GPZfCPMzv6urxYKhzLzM9+0VKYod24kyaHn74w2HvYXoZVek6SpBmHLtyHlbtLvDa3TNC4OgJTDd83MZoPYSRbCA349jIrpqOeJHKrBlalJIfJziVc/HiJST2beq05js2jxky+Gq0HEDPJclNWxRZHsPLIpA46ig+ashNX4zmOd2K5xwjge7nENIL9V7xms34Rozc1AWR5THdLL7Q8LXwXSsV+aOU/HhBaGRnLsNI1mO0Bh0ppWbgCSO0zzV+cAe+EYvUVriDjnsqS3704JZNxU1MIn6wq0LdNRLBaS9E7EZLN2M17SM3Y0nk1Fqgyx+vZroOKUrJjyNyU4/BN+PEazZ1XnONRKgNLFOtmI3V2FMXRA64AphuOugPrkrVRw9CkJu+GCPZgN5WDwSnvaAFRv6nvfj+LUhNJztjSXRRpIfu28pVMwwoJT+e0A2yM5ZgNdWgpxqBYBPr0kXz8+tRIresB6GRObxrYVikxPSyylUzCrGnLsA3LIre3xC49YTWnoWVn5IXdoZY7S5yUxcgCxg4ErjzVHrtcKCU/DgjN30JUjOI12wG6ExPM9z0gGuN1lpkzbtkZi1Dxoojy6D7Npr0lKtmFCINi8zcEzBbDnb2s3H1RHtR1MBZWPEDW0H6ZAsxAgDTzQTptYZS8kONUvLjDGnGyE1fhFX3HnqyAVeP4aNhDaTkpaTovdchXkx21rKCZOjKmlBKfjSSm74Yt6g8+P/2gy9jgRwwC0tLtxDfvwWnch5+orC5sKabDrqlqnF/Q45S8uOQzOwPIK0EJdv/Br6LYyQG9Lla9e9hJOsRS1dGmtF5OKabwRe6ypoYrQiN9NGnoueSgdJu/zLu12Xj+5TsfAGpGaTmn1rY/aWP4WXVSW+YUEp+HCLNGMmFZ6JlWyl673Ucowjdd/osXxdOjsSeN3GLKxBzFhd8f9PNBIpDZU2MWtzyGdgVc0lUbwQni6tZ/RoCiX0bMZINpBachrSKCrq36WYQgKMX9j6K/FBKfpzils8gO/t44od2IlsagOCIfCTCyVG6+Uk0J0N6/orQQ7qPpLN1rLLSRj3po08GJKWbn8L1BYab6bVZmd5WR7x6I7mq+TgRm9Udjummkaj02uFCKflxTGbOCbgllSR2v47f2oTpdB8T2KHg9XQzyWNX45ZNLfieRvuRX23g0Y8fL6Vt6XnouRTGztcRdhrdt7u9xmyspnTrs/hWEen5KwblvqaXbs+PV+pnOFBJzOMZTSO5eBUlW59F27sNs/Eg+oKzgrmrqQZiB3eiZ1pIHrsaZ/LsQbml6WXwEUHPGsWox500ndbjLqB081+RuzeTyHlkS6Yj4y7FO14mVrcbt6ic1KKzkIZV8P2E9DC8HOlYtNbEivAoJT/O8eOltJ5wKcXVfydWs5VJb/+563dmguSx5wRDQQYDKbHcNK5RpPzxYwivtIq24y6kbMsTWO9vxGIj/mawhCAzZzmZ2ccXVBh3OJ3+eHXSGzaUkp8ICI3MrOOJF8XIpXPkiqtwSyqDANogKmPdd9B9h4w1edDeUzE8eCUV2MedQyxVR6sxmUmmS4tWhlc0uP+XgT9eqPbCw4hS8hMEXzPxrSJEUQVO0cwhuYfpBj5/24xeSKUYOWyzhITVgigqR5s5Ha+ubdDvYbrpwIpXJ71hQ0U+JgpC4BhFQS50gcO9+8JykriapfLjxyiOkUAisNzkkLy/8F0M38YxVOrkcKKU/ATCMYrQpBcMEhlkhPQwvQy2oaz4MYvQcIwiLCeFHAJDoKPqWuXHDy9KyU8gbKMICcScwbfUTDeNQLlqxjq2UYwuXXCizwbuC8tN4gtdjYMcZpSSn0BIzcDVE1hDoOQtJ4WPpgJqY5zOL+lUy+C+sfSxnBQ5s0T544cZpeQnGDmzBMO30cOOBOwPKbHcFI5ZrDbwGMfXTFzNgvTgKnnLTQVDv83SQX1fxcAoJT/B6Nhkg2nN634OTXrKHz9OsM1iyCRDjwTsD8tJ4gtNdSYdAZSSn2D4moGjxwfVL285KSSBz18x9rGNEqD3XkeRaHfV2IZy1YwESslPQHJmKYafQ/PsgV88EFISc5JBb3A16m9c4Opx0PRBMwQsN42GT065akYEpeQnILYZWGqxQciH1v0chp8jZ5YV/F6KUYIQUFqB5SQRfuEum05XjTrpjQhKyU9AfM3E0eNYTuEVjXG7BYkgZykrbVxRNgWBJOa0FvY+UmI5SeWqGUGUkp+g2GYJppfrc5BIXkifmN1GzixVY9zGGSJWhKPHiNstBVVIm52umpJBlE4RBqXkJyg5sxQJxO3myO8Rc9rQ8Mlahc37VIxOstYkDN8OhnxHJG43K1fNCKOU/ATF10xss4R4riVyqlzcbsHVrCBQpxh32GYpEhFY8xHQvRwxN0XWKlcDQkYQ9clPYDJWBRp+pE2sezlML0vOKlO+1nGKFDo5s5SY04aQfuj1iVwTEqFaT48wSslPYFwjjq0niOeaQ/tdg4ArZFVWzbgma01CIEMH6TXfIea0krUmIQdp4IgiGkrJT3AysQp06YbKotB8h5jdEhznVW78uMbV47iaRVGuEUJY8/FcEOvJxJQVP9IoJT/BcYwiXM0ikWvK25ovztQhgFRczekc9whBKjEV3XcCRZ/PEukRt1vImaVqtsAoQCn5iY4QZGIVGL5NLI8juemkiLlJ0rEKfK3wwc6K0Y9jFJE1S0nkmvKqkk7kmtDwlRU/SlBKXkHOLMXR45RkDiFz/fQrkT4l2VpczVQbeIKRilchEZRka/s98VlOkqJcI1mzFE9lXY0KIiv52tpaPvOZz3D55ZdzzTXXsG/fvsGUSzGcCEFr0Ux8ocGBXX2WshflGtF9h1RimkqJm2BIzSAdr8Ry032e+HQvR0n6II4eI5mYNswSKvoi8k69+eabWb16NX/84x9Zu3YtP/zhDwdTLsUwIzWDtqKZ4DmUpvd3s9aE9ChJH+y00FRhy8Qka5Xj6DFKMgcpytZ3f0Z8j7L0fhAieI6UETBqiJQa0djYyLZt27j77rsBuPLKK1m5cuWgCqYYflwjAVXzsGr3UNG2C8cowtETgY9VuqRjFaRjKtg6YRGC1uLZFGfqKMo1BpOerFJMN9PZlrileLYKto4yIin56upqZs6cyR133MEbb7xBVVUV3/zmNwdbNsUIIMoqaU7axJwkppsK2ghrJi1Fc4IvAcWERgqdZNF0bKeYkkwtxdl6PM0ka5WRM8vUMzIKEXKAseyPPfYYt99+e7dr8+bN4/XXX+fnP/85q1ev5oEHHuBPf/oTv/rVr4ZUWMXwIqUEJweGhdDU8VvRHel74HkIU2VZjWYGVPK9sXfvXtatW8eGDRsAyGQynHbaabz99tt5v0dDQxLfj9bdrqqqlLq6wtvkDgdjSVYYW/IqWYeOsSTvWJIVosuraYLKyvDdPCOZZ3PnzmX69Ok8//zzADz77LMsW7YsylspFAqFYgiJXJP+05/+lFtvvZUf/OAHlJSUcMcddwymXAqFQqEYBCIr+fnz5ysfvEKhUIxyVDRNoVAoxjFKySsUCsU4Ril5hUKhGMcoJa9QKBTjGKXkFQqFYhyjlLxCoVCMY5SSVygUinGMUvIKhUIxjhmxKcyaJkZ0/XAylmSFsSWvknXoGEvyjiVZIZq8Uf/GSA3KFAqFQjE2UO4ahUKhGMcoJa9QKBTjGKXkFQqFYhyjlLxCoVCMY5SSVygUinGMUvIKhUIxjlFKXqFQKMYxSskrFArFOEYpeYVCoRjHjCkl/+c//5mLL76YCy64gHvvvXekxemXn/3sZ1xyySVccsklfP/73x9pcfLme9/7HrfccstIi9EvzzzzDFdccQUXXXQRt91220iLMyAPP/xw57Pwve99b6TF6ZVkMsmll17Kvn37AFi/fj1r1qzhggsu4M477xxh6bpzpKz33Xcfl156KWvWrOEb3/gGtm2PsITdOVLeDn79619z3XXXDb0Acoxw8OBBuXr1atnU1CRTqZRcs2aN3Llz50iL1SsvlwAg+gAABOZJREFUvfSS/MhHPiJzuZy0bVtef/318sknnxxpsQZk/fr1csWKFfLrX//6SIvSJ3v37pVnnnmmPHDggLRtW1577bXyueeeG2mx+iSdTstTTjlFNjQ0SMdx5FVXXSVfeumlkRarG2+99Za89NJL5bJly2R1dbXMZDJy1apVcu/evdJxHPmJT3xi1HzGR8q6e/duef7558u2tjbp+768+eab5d133z3SYnZypLwd7Ny5U5511lnyYx/72JDLMGYs+fXr13PaaadRXl5OUVERF154IY8//vhIi9UrVVVV3HLLLViWhWmaLFiwgP3794+0WP3S3NzMnXfeyec+97mRFqVfnnrqKS6++GKmT5+OaZrceeedLF++fKTF6hPP8/B9n0wmg+u6uK5LLBYbabG6cf/993PrrbcydepUADZu3Mi8efOYM2cOhmGwZs2aUbPXjpTVsixuvfVWSkpKEEKwaNGiUbXXjpQXwLZtvvWtb/HlL395WGQYsS6UYamtraWqqqrz56lTp7Jx48YRlKhvFi5c2PnvPXv28Nhjj/Hb3/52BCUamG9961vcdNNNHDhwYKRF6Zf3338f0zT53Oc+x4EDB/jQhz7EV77ylZEWq09KSkq48cYbueiii0gkEpxyyil88IMfHGmxuvGd73yn28+97bVDhw4Nt1i9cqSss2bNYtasWQA0NjZy7733cvvtt4+EaL1ypLwAP/rRj7jyyiuZPXv2sMgwZix53/cRoqvVppSy28+jkZ07d/KJT3yCm2++maOOOmqkxemTBx54gBkzZrBy5cqRFmVAPM/j5Zdf5rvf/S733XcfGzdu5KGHHhppsfpk27ZtPPjggzz77LO88MILaJrGXXfdNdJi9ctY3GuHDh3ihhtu4Morr2TFihUjLU6fvPTSSxw4cIArr7xy2O45ZpT89OnTqaur6/y5rq6u2xFotLFhwwY+/vGP89WvfpV169aNtDj98uijj/LSSy+xdu1afvKTn/DMM8/w3e9+d6TF6pUpU6awcuVKKioqiMfjnHfeeaP2RAfw4osvsnLlSiorK7EsiyuuuILXXnttpMXql7G213bt2sU111zDunXr+MIXvjDS4vTLI488ws6dO1m7di3//M//zKZNm4b+JDrkXv9BoiPw2tDQINPptLzsssvk22+/PdJi9cr+/fvlihUr5Pr160dalNA8+OCDozrw+tZbb8kLL7xQtrS0SNd15Wc/+1l5//33j7RYffLCCy/Iyy67TKZSKen7vvzmN78pf/KTn4y0WL2yevVqWV1dLbPZrDz77LPlnj17pOu68pOf/KR89NFHR1q8bnTI2tbWJletWiUfeuihkRapXzrkPZxXXnllWAKvY8YnP23aNG666Sauv/56HMfhqquu4gMf+MBIi9Urd911F7lcjjvuuKPz2jXXXMO11147glKND5YvX86nPvUpPvrRj+I4DmecccawHn3DcuaZZ7JlyxauuOIKTNPk+OOP5zOf+cxIi9UvsViMO+64gy996UvkcjlWrVrFhz/84ZEWq1d+//vfU19fz913383dd98NwDnnnMONN944wpKNHtRkKIVCoRjHjBmfvEKhUCjCo5S8QqFQjGOUklcoFIpxjFLyCoVCMY5RSl6hUCjGMUrJKxQKxThGKXmFQqEYxyglr1AoFOOY/wsJidXuEzqOtwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sinplot()" + ] } ], "metadata": { diff --git a/lessons/lesson14.3.ipynb b/lessons/lesson14.3.ipynb index bdf8d1c..444e754 100644 --- a/lessons/lesson14.3.ipynb +++ b/lessons/lesson14.3.ipynb @@ -429,27 +429,27 @@ " \n", " 0\n", " 0\n", - " -1.535067\n", + " -0.286729\n", " \n", " \n", " 1\n", " 1\n", - " -3.309895\n", + " -1.369962\n", " \n", " \n", " 2\n", " 2\n", - " -2.844483\n", + " -1.537031\n", " \n", " \n", " 3\n", " 3\n", - " -2.996716\n", + " -1.861447\n", " \n", " \n", " 4\n", " 4\n", - " -4.268212\n", + " -2.011111\n", " \n", " \n", "\n", @@ -457,11 +457,11 @@ ], "text/plain": [ " time value\n", - "0 0 -1.535067\n", - "1 1 -3.309895\n", - "2 2 -2.844483\n", - "3 3 -2.996716\n", - "4 4 -4.268212" + "0 0 -0.286729\n", + "1 1 -1.369962\n", + "2 2 -1.537031\n", + "3 3 -1.861447\n", + "4 4 -2.011111" ] }, "execution_count": 11, @@ -482,7 +482,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", + "image/png": 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\n", 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Okk4Y+zZkKKpUQgj9QydSELPA/Lbb88Drt19gWda/BDBN803bDo8DWcuy3G33O32QJx4bSx042ImJ9IHvc5wcJZ6NXIWhvM1QMhTQ77y0jOsFvO6xGUaGk/veP19yuDSRYbY6qHN3LOPjaa7dWcfzA5Ix48DxXT49zPX7mwwPJRp+IMTjLtG4Xvf/oZt+V90UC3RXPN0UC3Q2nk4IsAps30VRgFaq63ffjxbvt8XqamvF/jUmJtIsL+/v1HVSHDWexbUiuVwJ3wk/w7714gKJmM5IQmd9o7kXA0C2YDOa0FlezjWMZSSuc3M+x+ZmkXj0YC+vmdE43762zI27aw0bQjzfZ23DJ70rB9xNv6tuigW6K55uigXaH89BxbwTKYh7wMy229PAXAv3WwKGTNOsvfNmWryfUGW3CfvdpTznp9N7bCnrUXE8kjFjX1GNGBoXZtIoysFrds9Nhy/eZnlgTVVx3EBakoW+oBMC/BngbaZpTpimmQDeBXxyvztZluUAXwJ+rnro/cAnji3KPqS0zQOiVHHZyNvMtLj5ZtseEyP1qxN2EzE0Ls5kDizC40MxEjF93zwwBNWGEkHobU5cgC3Lug/8GvB54DvAM5Zlfd00zY+bpvnkPnf/FcKqiReAHyQsZRNawHF9vG0m7POrRQBmxvbP/bqej66ppOKt53UPI8KKonBuKt2SQbt4Qgj9QEfqgC3LegZ4Ztexd9a57m/tun0b+KHjjK1fcVyPYFsPXM1/t5UVcKniMTOWQG2xUaNGTYRvzGcpVdyWcsJnp1K8eHudjXyF4V3VFjXClmSHoeTJ+RYLwnEgnXADgu36O1qQ51eLDKci+4piEISy3UgM9+OgK+FaHrjZuHpDU9vmQyEInUQEeEDYbcI+v1psKf1QrLiMZmJ1B3i2ykFEeHI4TiyiNU1D6JpK0XbFnF3oeUSAB4TtJuzlist6rtJS+sH3AkYzh1v9bme7CFecxqtXVVU4O5Vqasyjqgq+50slhNDziAAPALtN2OfXahtwzQW4bLuk4hFikfZsFUQMjdmx5J6OvN2cnUqzlq2QK9pNrlJkI07oeUSABwDH9SF4YMLeagWE7QQtl561Sjy6v4lOK3lgkJZkofcRAR4AbNff0UI4v1JgKBlp6l7muj4RQz2Sw1k9DF3D0FW8JumDmdEEEV1tngfWFcq2eAMLvY0I8ABQtl22V5DNrxaZGW+efihWXCaH4wcuPWuFTCJCpUkaQlUVzkw2zwPrYs4u9AEiwANAaVsLctl2WctVmqYffD9AVRQyx1Rnm0oYeF7zCoaz02mWN8oUy07d87qmULbFnF3obUSAB4Bi2cPQw1/1g/xv4xVwqeIxPnS00rNmxCMae32VdlLzB26UBw7z2QHOPht6gtDNiAD3Ob4fYLvelgn7QlWAGxmwB0GA5/uMpI9vPL2ha0QMvWkZ2anxJLqm7NOWrIg5u9DTiAD3Obbr7dyAWy1WN+Dq+zpUbI9MMnLsI3+GkgZ2k3pgTVM5PZFqasyjQNOaYkHodkSA+xy7WoJWY361wHST9IPt+g1nsrWTZNxgvz6Kc9NpFtaKlBt0z+l6e6YyC0KnEAHuc8q2uzW/rWJ7rGYbd8A5rkfU0Ekc0Ej9MITNHftsxNXywEv1V8GGpjbcpBOEXkAEuM8plFz02gbcWvMGjFLFZ2ok1vJ4+qNg6CpRQ8dt0s12eiKFqioNy9E0TcXxwpy1IPQiIsB9zvYStJoFZb0NON8P0FRIn6DFYyZpUGmyiWboKqfGk9xZaN4Rt19rsyB0KyLAfYzr+Xj+ThP2TMIgWcdYvVh2GR+Ko6kn95JIxSP4+9QDn5tOMbdaaLhhFwQyHUPoXUSA+5hwZbjNgnKlvgVlEAQEQcBI+uiuZwchFtGA5umOs1NpgiCcX1cPTVMoViQPLPQmIsB9jON6W/tcFcdjNVuu24Jctj2GUlEixvGWnu1G11RiUa3pCvbMZApFoWE5mpizC72MCHAfUyy7aFULyoUmFpSO6zM+dHyNF83IJCJN64GjhsbMWLJhQ4aYswu9jAhwH1OsOBjVKRjzK1UBHt2ZgrAdj3hUb2le23GQjBv4/v5tyXMrhborZTFnF3oZEeA+JQgCSra35ecwv1ognTBIJXZuwFXssPHiJErP6hGLaKAoTVew56bTeH7A/eVG1RBKU3c1QehWRID7FMf1CQJ2mLDvTj8EQQBKmAboFLqmkohqTVewZybDhox7y4WG11TEG1joQUSA+5TtLci247GyWd5TAWG7Pqm4sVWm1inSyeb+wPGozkg6uuXkthtdVyiUpBJC6D1EgPuUiuNtVXg12oBzHJ90nZrgkyYZM9ivmW12LMHcSv0VsK6pIsBCTyIC3KcUy9s74OoLcADE2zxy6DDEIhqKQtM88Mx4ks2CTaGO94OuhePuxZxd6DVEgPuUUmWbB8RqkVTcIL071xuEZV6dRlPDPHCzeuDZ8TB9MreyNw2hKAoBSEec0HOIAPchvh9QcXZWQOxe/bqeTzSiHdvUi4MylIziOE1WwKNh/DU/iz0EIsBC79Ed7z6hrWyfEvFgA26nANuOTyre+fRDjURMx2uSQohGNMaHYnVXwBCugmVKstBriAD3Ifa2leDieokg2GtB6Xo+qXjnys92E4vo++eBxxINV8CGrlISc3ahxxAB7kPKtkutsqwmWHtakJXuyP/WUFWFZMzYNw+cKzrkivaec4auUmgwOUMQuhUR4D6kuN2EfaVIMqaT3tYB5/sBmqIQMbrr159JGk29fWsfInN16oF1TcVxfTFnF3qK7noHCm2hWNlZgjYzntzRaux4PsmY0bH240YkokbTFMT0aAJFgfkG9cAg5uxCbyEC3GdsN2F3XI/lzVLdBozdnhDdwH6+EBFDY2IoXncFDGLOLvQeIsB9xnYT9oW1cANu9wiiIOBEBm8eFFVVSMWNHZuIu5kZTzC/Uqgr0lq1IUMQegUR4D5juwn7QnWlOL2rAiKAEzdfb5VMMoLTJI0wO56kUHbJFupsxGkqRRFgoYcQAe4ztpuwz68WSMR0MtvSDa7rE+uiBozdJKJ605bi2X024kSAhV6iO9+FwqHZYcJetaDcvtlmu15XGPA0IhrRwtbiBiI8NZJAVZS6xjw1c3bJAwu9gghwH7HdhN1xfZY2SnsaMDwfkl24AVdDVRTS8cblaLquMjkSb2hNCeHmoyD0Ak13YkzT/Olm5y3L+v/aG45wFLabsC+uF+puwBEEXdWAUY9MMsL95QLRSP04Z8cTvHBrnSAI6pbSVRyPRKx7P2QEocZ+W+F/t8m5ABAB7iK2m7DXs6D0/QBVU4no3f3FJx7VCZqUKM+MJfnWtRU28jYj6eiOc7oeVkKMpI85SEFoA00F2LKst55UIMLRqTjejhFEiahOJvnA78FxQwOebmvA2E00oqEq1Q+MOtM6ZserG3Erhb0CLBtxQg/RUjGoaZoPAb8KpAiLTDXgsmVZTx9jbMIBKZZd9FoFxEphzwac4/qMD8c7FV7LqIpCOmFQqrjEIntfopPDcTRVYW61wGMXRnec0zWFfCk0Z1e7/INGEFr9LvoMEAHeCNwCHgWeP6aYhENSM2F3XZ/ljTLT9SZg1BG0biSTiDT0B9Y0lanROPMNzNlBOuKE3qBVAU5blvXLwKeATwBvB95wbFEJB8b3Ayq2i66pLG6U8IOA2W0VELWyrmiku/O/NeL7dOrNjieZXy02KFdTRICFnqDVd+Nq9e+Xgccty9pgq99K6AZs1wPlQfoBdm7AuV5APKqhqb0hwFFDQ1XDD5Z6zI4lqTgeq9nKnnMKiDm70BO0+m582TTN3wS+DPxd0zT/LiB1Pl3Edv+E+dUi8ajGUCqy7bxHqosbMHajKAqZRATbqV/TO1PdiKvnjKbripizCz1BqwL8y8CXLMv6NvC7wF8BfvHYohIOzE4T9iIzYzstKH0vHP/eS6QTjQ3aJ4bi6JrKXJ0JGYYm5uxCb9DSjoxlWUXTND9imuYI8J+rfw6NaZrvAX6dcBX9m5Zl/dau868GPgBkgC8Cv2RZlmua5s8D/xxYrF76Mcuyfu0osfQLNRN21ws74N7w2NSO80GXTcBohXjUaFgPrKoK02PxujPiNE2lWHHwfL9nUi7CYNLSq9M0zV8CNoEVYHnb3wfGNM1TwG8AbwJeDfyiaZqP7rrsQ8CvWpZ1hTCl93eqx58E/oFlWa+u/hHxrVIzYV9aL+H7wZ4GDF1VMLq8AWM3EUNFV9WmeeCFtWLD82LOLnQ7rb4j/xfgacuytOof1bKswy6nfhj4nGVZa5ZlFYAPAz9TO2ma5jkgblnW16qHPgj8bPXn1wE/b5rm86Zpfqi6Ih94tpuwP+iAe1ABUTPg6fYGjN0oikI6EaHSIA88O57EcX1WNst7zok5u9ALtFoUumBZ1rfa9JyzwPy22/PA6/c5f3rbz/8K+ArwT4F/C7y31SceG0sdONiJie7qaa0XT75oM5RJMJSKspa7TyKqc+H0yJbgbhYqnJ3OtL0J4yT+b/SYwfV7mwynonvOPXwB+NJNNkthvndk+MGHjhExiKeiTIwf/HfeDnrhddMpuikW6Gw8rQrwp03T/GXgvwKl2kHLstYO8ZwqO0vYFMBv5bxlWT9VO2ia5r8Arh/kiVdX8w2/rtZjYiLN8nLuIE9xrDSKZ2WjRDZbwnddbs1vMjUaZ2PzQW40V7AppiIsO+3bmDqp/5uK45HdLBK4e2PXCYjoKi/fWef1j06zvvFgQ852PO5VHIwm3sLHRa+8bjpBN8UC7Y/noGLeagrifwV+C7hLmP89dA4YuAfMbLs9Dcztd940zSHTNP/+tuMKIFvdQLboEDFUPM9naX2nBeVWA0aPbcDViOgqmqbWnXasqgozY4m6lRDiCSH0Aq1WQbTzu+tngP/dNM0JoAC8i20lbZZl3TZNs2ya5tOWZX0ZeB9h910e+EemaX7FsqxnCb0p/qSNcfUkvh9QKDuk4joLa0W8XRtwrueTiOl1TW16gVo9cK5kE4/uXS/MjCd57uoSnrdToLebs/fa5qMwOLRqxvNPdh0KgCLwPcuyPnWQJ7Qs675pmr8GfJ7QX+IDlmV93TTNjwP/xLKs5wjzur9rmmYG+BbwbyzL8kzTfDfw70zTjAPXgPcf5Ln7kdoGlaIodS0obcdnfKj7DXiakU5GWMuVie9NAzM7lsT1AhZWiyQiuz9kQnN2EWChW2k1B/wKQiOeDwMe8FOEpjzvNk3z9ZZl/Z8HeVLLsp4hNPjZfuyd237+Ljs35mrHvwS89iDP1e+UbXcrYz6/UiQW0XZYNPoBJGK9YcDTiHh1XH09ataUd5dymKcze86LObvQzbS6NJgCnrAs63+0LOsfENbjBsAPAu8+ruCE/ckXHQzjwRDO6V0WlEEQEGswWaJXiBgahqbUzQOPpKNEDY07i3s3Umrm7ILQrbQqwGOWZS3UbliWtVo9ZgPOsUQm7EsQBORKDhFdw/N8FtdLO9IPnu+j6yqG3tsCDDCUjNRtrFAUhdnxBHfrCbBsxAldTqvfTW+YpvnPgH9PWH3w3wPXTdN8ijAlIXQA2/XxPB9V1ZlfLYUbcKMPKiAcxycdjzR5hN4hFY/UdT6DsOnk2RcWcT0fXXuwphBzdqHbaXUF/LeB88C3ga8Dp4BfIMzH/s/HEpmwLxXb2yqYXqiWYtVcwgAcNyAV7+38b41GAzohzAN7fsDSemnHcTFnF7qdVsvQVoC/UefUv2tvOMJByJecrRXf/GqRqKExun1GmkLdkT69SERX0VSl7py42fFw1T+3Utj6+QGhOXuv1kEL/c1+Y+n/yLKsd5um+Tx1DNgty3rlsUUm7Euu2oABMLda3LEB1+sNGLtRFIV03KBQdojtmpYxlIyQjBtbZXg77kdYKdJLXsjC4LDf8uj/qv7994CLhBMx0oSph+8eY1zCPriej+26pCMRPN9nca3I6x6Z3DrvuD6JaO82YNQjlTDYyNvEdtUDK4rCmckUc83M2YdOKEhBOABNc8CWZX2z+uPfIKzLXQZ+B7iANEF0lLLtbX0nWd4o4/kBs9sbMFyfdLK/Vn2xiB4uaetwZirN0kYJx925J2zoKvmyFOoI3Uma0l8LAAAgAElEQVSrm3CvJZyK8deBP7As628DZ48tKmFfihVna3Vbz4Iy8AMS0f4S4Fo6pd4gzjNTaYIAFtZ2bsRpqorjBQ1HGwlCJ2lVgFXLsnzCacifqx7bvdshnCC5gr2V/51fLRAxVEYzO7+b90v+t4aqKiRj9ccUnZkKXajm6xjzhHlgEWCh+zjIUM6PE+aBv2Ca5n9EcsAdw/cDimX3QQXESpHp0QcbcJ4XGtD0owdCJmHsGEBaYygZIRU36o4oCuuB7ZMITxAOxEHqgJ8B3mJZlgN8ibAZQ+gAtdWcooQlVgtrxR3lV7brk070RwPGbmJRnXoWv4oSWlPWWwFHdJXNggiw0H20WgdcIJzTVrv9/xxbRMK+lGx3a7V7ZymH5wdcmHlgROO6ft+WXcUiWt0cMIT1wC/d28R2PCLb0i+apuJUvD3HBaHT9N931AEgX7S30gs35rKoqsK5qW2jdxSlaedYL6NrKrGIjlsnDVFzRptfa1QPLHlgobsQAe4xgiAgX3K2BPjmXI4zE8mtlV1tddjPK710vH4euFYFMl+vHljywEIXIgLcY9iOjx+EFQGFssPCWpGLsw/SD47rk4oZfW0+k0wYeHVm+6XiBplkhLk6HXGSBxa6ERHgHqPseFur3FvzoQXjdgG2HZ90oj/zvzWihkbdnThgdixRtyNO01RcqQcWugwR4B5jd/43FtF2NmDAHq+EfqM2qLPehOuZ8SRr2QrlBj7AkgcWugkR4B4jW7SJ6CpBEHBjLsv5mfQuv4fen4CxHzVjHtvdK6a1dux6G3GaKnlgobsQAe4hbMfDdX00TWUtV2GzYHNxe/mZ5xPR9R2m5P1KKmHgOHVWwGMPrCl3EzVUspIHFrqI/n+n9hGlirs1nPLGXBZgzwZcOtHf6YcasYhOsNchlURMZzgVqWtNqWniCyF0FyLAPUSh7KBWf2M357IMJSM7JiA7rk+yT0YQ7UfU0FAUpW5Txux4su4KGMK9u7IIsNAliAD3EJu5ChFdw/cDbs7nuDib2TEBWVEUYn1c/7udZsY8s+NJNvI2xfLejThdU8gXJQ0hdAciwD2C5/tVAx6FudUCFcfbkX4IggBFYcshbRBoZMxTmwxdzxdC8sBCNzE479Yep7LNgKeW/70wk946b7s+yZixY0Xc78SiOkG9UrSqANdryKjlgXcbtwtCJxAB7hGKFXdrGsTNuSzTowkSsQcNF64T9H0Dxm5iEa3ONly4QTeWidZtSYYwD1ySemChCxAB7hFyRYeooWE7HneXCzvSDwB+EBDv8waM3WwZ83h10hBNNuLCPLCMKRI6jwhwD+AHAYWyQ8TQuL2Yx/eDPQIM/TcBoxXScQPbqbMRN5YgW3TqCm2YB66cRHiC0BQR4B7AdjyCANRq/ldTwynANVzXJxrRBqIBYzfJuNFwBQwwV2cjTtNUbNeXPLDQcQbvHduDbPc1uDmX5exUase4obLjMZwajPrf3UQjWt1ByTOjtUqIvRtxAAqK5IGFjiMC3APkSi6GppAt2CxtlPbmf/2A1IA0YOymZsyz254yYmhMDMca5oE1yQMLXYAIcA+QK9oYhsq1O+vAzvZj3w/QVYVYdPDyv7DNmKdOd9vsWJL51WLdbrmooZKVhgyhw4gAdzm24+H6AZoaCnA8qjNd/XoNUHE8htPRvjZg349kA2e0mfEk+ZJDrs5KV9NUbMeTPLDQUUSAu5yy40EQdrpdu7POhZn0jmYLp48nILdKPKrX94Ro0hEHkgcWOo8IcJdTLDnoGqxslkP7yT3tx8rA1f/uJmpoqHWMeaZGEygK3G+SBy5IHljoICLAXU626BDRtQf2kzM7xw+l4sZAlp9tR1UVUvHIHmMeQ1eZHUtyszq6aTcRQ2VT8sBCBxnsd26X43o+FdtD11VuzmcZH44zvM1+0nY8Rga0/Gw3mWR9Y55LpzLMrRRCL+Vd6JqKI3lgoYOIAHcxFccjIHRCu7WQ48qZ4R3nA9jhBzHIJBORusY8l04NEQQPDOz3InlgoXOIAHcxpbKLqsD95QK242OeG9k657g+sYhOZADbj+sRTsjYy6nxJLGIxvUGAqxpSB5Y6BgiwF1MtugQMVRuzGVRFLh8+sEKuGJ7jG5LRww6hl7fmEdVFS7OZrh+f7NupUTE0MiKAAsdQgS4S/H90IDH0FVuzGeZGUvuSDf4hPWvwgNSDYx5Ls1myBUdljfKe87pmortuJIHFjqCCHCXUql2dtmOz/3lAhdnH5ive74fdr/1+fj5g5JqYMxz6dQQANfvbza4p0JZ8sBCBxAB7lJKFRcCuLWQIwh2lp9VbI/hVHSgpl+0QiNjnkwywsRwjJcbCLCmQaEkaQjh5BEB7lIKJQfDULg5n8XQVU5vs5/0vIBMUsrPdlMz5vEbVEPcWczXTTVEDI3NggiwcPKIAHchQRCQKz1owDg7ldpqtnjQ/Sbph90oihLmgeuI7KXZDJ4fcGshv+fcgzzw3vSFIBwnIsBdiO36eJ5PvuSwslnemX5wPNJJA02VX109UnEDx9m7Aj43lUbX1H3ywHubNQThOJF3cRdSscMGjK3249md7cfDqViHIut+4lGdoE5FsK6rnJtOcf1+k3pgyQMLJ0xHXFxM03wP8OuAAfymZVm/tev8q4EPABngi8AvWZblmqZ5FvgQMAlYwHsty9r7nbLHyZccdC1sP07GdCZH4lvnFCAx4OY7zYgaGkrVmGf3JuWl2SE+/Y27bOQqO1q64UEeeHrsJKMVBp0TXwGbpnkK+A3gTcCrgV80TfPRXZd9CPhVy7KuEGrO36ke/23gty3Lehh4DvjHJxP1yZIrOhh6OP/twmxmS0gqjkcipu8YRyTsRFUVElG9bj738qnwm0S9rjjJAwudoBPv5B8GPmdZ1pplWQXgw8DP1E6apnkOiFuW9bXqoQ8CP2uapgG8uXr91vGTCvqkcD0f23VZy1YolN0d+d+y7TKclvTDfqQbGPOMDcUYSkYa54EVyQMLJ0snvsvOAvPbbs8Dr9/n/GlgHMhaluXuOt4yY2Op/S/axcREev+L2kiuaDM0lODGwhIAr3l4euvr8kahzLnTI13j/3vS/zf7UYsnloxScmE4tbdV+5ELY3zn2hKZdBxtl42nEXWIxKNMTBz8ddIolm6hm+Lppligs/F04p2swo5dEoWws3a/87uPs+t++7K6mq9bI9qIiYk0y8v1vWSPi6WNIrlsie9dX2F8KEbguaxvuHieTyIVI7dZJN8FDRid+L9pxvZ4XM8nmy0SuHtXs2cmEnztex7Pv7zEuamdbzzX9bmdLxNVWn+N7BdLN9BN8XRTLND+eA4q5p1IQdwDZrbdngbmWji/BAyZplkrgJ3Zdb++IFewURS4s5jnwvb0g+MxPhSX7rcW0DWViL7XmAeojnSibjWErqtUbMkDCydHJwT4M8DbTNOcME0zAbwL+GTtpGVZt4GyaZpPVw+9D/iEZVkO8CXg56rH3w984uTCPn58P6BYdllcL+G4/o7yM89Dut8OQDpR35gnFtE5PZHihuSBhS7gxAXYsqz7wK8Bnwe+AzxjWdbXTdP8uGmaT1Yvey/wr03TvAqkgH9TPf4rhFUTLwA/SFjK1jeUqm/8m/M5FAXOTYe5SN8PUBWIi/l6yzQy5oHqlIzVIoXy3rpfVaXucUE4Djqym2NZ1jPAM7uOvXPbz99l58Zc7fht4IeOO75OUHE87izkiBhh+/GpiSSxiL51bigVQVMl/dAq0YhGo2zNpVNDfOHbc9yYy/KKizsLf6O6RrbgMD16AkEKA48UlHYBtuNxcz40XfeDgPnVwo7yM8cNGKqzoy80JqKraGp9Y56Z0QTxqN44Dyz1wMIJIQLcYRzX4+Z8jiAIiEX1B/aT1fxvEATS/XYImhnzqKrCpSZTMkDZ8mMWhONEBLiDOG44bNP3g63a3htzWSK6yqmJ5NY1SRk9fygaGfNAmAculF0W10p7zqkq5Esyrl44fuRd3QTP8xuskI6O6/ncWsjiuD7x2ANryZtzWc5Np7fcziq2z7CMnj8U4Yda/d9f7RtGPZP2Wh5YEI4bEeAm3F3McWcxj93mr6Ou53NrPofj+CRiD1ILG7kKa7nKjvIzCGT22yGJGhpUjXl2k05EmBqJ1/eFkDywcEKIADfB9Xw28xWu3d1gLVduy2rY9XxuL+So2B6J+M687o35nfaTrusTMfRQSIQD08yYB8JqiLtL+br53iBA8sDCsSMCvA+xqEY8qnF3Kc+theyR3pSe73N3KUep4pJM7N1UuzGXJZ0wGB8KDXfKjsdIWtIPR6GRMQ+EeWDfD7g1v7cVVdMUyQMLx44IcAtomspQMkKp4nHtzgZr2YOvhn0/4O5inkLJJZXYm1IIgoCb8zkuzDywnwz8gFRcBPgoJKIGQQP/jzOTKQxd5fqc5IGFziC1TQcgEdPxfJ97S3nWcxVOT6SItjAa3vcD7i7lyRVt0nXaiX0/4KNfuUWp4mKeGd46pqkKMZn9diRiEQ2ob9Cuayrnp9MN64GzBZuy7W41xAgnTxAE2K6PUx3T5QfhN0k/CPD96p+AbT9X//i168KFjKIqWxOzFYWt18JizmZzowiE1S8KtXMKqbjO5EjiWP998so6IJqqkklFKFVcrt1bZ2YsyWgmhtqg7coPAu4t59ksVOp6OXi+z59+6Rbfv7nGm181w8PnQgEOu9+iDR9XaA1dU0klDGzHq/theenUEC/d22QtW2Y0s9NrWdMUVjfLnGqDPaWwP57vYzs+tutTLDkUKw4l26t+21TCghYl/CANhZJtPyvV26CgoKmgazu7Ibd/aQ0IIABdVVBrPotB1V4x8HG9gCDwRYC7lXhUx/cD5leKbORsTk8m96yU/CBgbiXPRt6uK76u5/NfvnAD6+4Gb3viFE+/4oEJnOP6Yr7TJkYzMe4s5hoIcHVKxv3sHgFORHXWcmUmhuNEZCO0bQRBgOv5VByfiuNRLDkUKtWqk6pKapqKoSskY3rbHAB3Pkx4Q9fUBjX2J1MBIwLcAN8P9i0/U1WFdNKgXHG5dneD6bEE45k4qhp+5Z1fKbC6WSGT3JvzdVyP//y569yYy/LXnjrL6x6Z3Dr3YPS8/HraQTKmQ0DdNMRoOspIOsr1uc0dvwOora4U1nJlpkeTJxlyX1KquNy4v8Gd+xt4ASjV34euKxiaSiwyeOWW8g5vwFe/v8AHP3mVpx+f5gdfNdN0DHwsqhMxAhZWS2zmbU6Np9jIV1jdLJNJGnve9BXH4z995iXuLOb58afP85qHxnectx2flHS/tY1maQhFCduSv3t9Fc/z90zJSMR0VjbKjA/F5fdxSEoVl6X1Epv5CuPjKRJtXNX2OvKKasBrHhrn8YtjfPG78/zex66ysFZser2qKmSSBr4f8PL9DZY3S6TriG+p4vKHn7rG3aU8P/3mi3vEF0JznhHpfmsrI+lowxLCS6cyOK7PnaW9A7ZVVSEANvKVY46w/yhVXG4v5Hjp7gbFikM6aZCM7X1PDDIiwA1IxAz+1o8+yl//wQtkCzYf+MiLfOHb9/EaeMzWiEY00gmDTGLvC61QcviDT1osrhV591sv8fjF+p6HQfX5hfaRihso1O+KOz+TQVWUutUQAImoxtJa8UDjrAaZesIbj8qqtx4iwPvw8NlhfvmvP85jF0b44nfn+d2PvsjcSqHpfcId2Z0vtlzR5vc/abGarfBzb7uMeXak7n0d1ycW0WXTp808SEPs/QCNGhpnJpMNpyVrmorrw2ZBVsHNEOE9OCLALZCI6fzUmy/yc2+7TKni8h8+9iKf/eY93Ba9AjbyFT74CYtswea9b3+Iy6eGGl5r2z6jafH+PQ6apyGGWFwvkS/Wb75IRDUW10v4x2TO1MuI8B4e2YQ7AOaZYc5Npvj0N+7y5ecXsO5s8BNPn+f0ZOM60dVsmT/81DVsx+NvvuMKp/epKfXEfOfY2J6G2C0Ol04N8blv3ef63Cavurw3L6/rKsWCTb7kkElIfh52bq4Zhlp3z+M4CIIA2/EplB0KZZdi2aVY+7kS3i6UHYpll1LFRVUUDF1F11UMXSWiqxha+HMqGcXzvK3bEV3D0FVUVeGhU5n9gzkiIsAHJBbV+Yk3XeDRC6N89Cu3+b2PX+UHHpvira+ZxdB3pg2W1kt86NPX8P2A97/DZHqseVG35/voqlLt3hLaTbNqiOnROMlYOCWjngBD2FW3tFYkHR/sjSTH9ZhbLbKZO17h9f2AuZUC1+ey3FvK7xBcr0E+3tBVkjGdREwnGTeYGI7jBwFOtZvOcX2yFSf82fPxvE0qjl93fuDbnzzNI+fH6jxL+xABPiSXTw3xyz/5GJ/55j2+9v1Frt3Z4MefPs+56TQA86sFPvTpl9BUhZ//ayYTw/GmjxcEAfmiy9SIjJ4/TkbS0bpNGYqicHE2w/X72borZICIoZEt2BQrLskB3STdzFe4t1xAUTgW4d3IVbg+l+XGXJab81nKdpgymhqJk0lGmB5NkIgZWyK7/edkTN+zCNqPkeEk6xuFreYQxw078cq2x3jm+FOBIsBHIBrR+NE3nOPR8yN85Mu3+P1PWrzu4QnMsyP88eevE4tovO8dV/Z0WO3G83zyJZfJkfixtz4OOjXhrCeyl08N8fyNNeZXi8yO12+8iOgqS2slLswOlgC7ns/CWthYlIzrbauJrtgetxZy3Jjb5PpclrVsuNGZSRg8cm6Ei7MZLsxkdvhmHweKomDoGoaukSDcDD+JdZAIcBPSiQi3Kh6KQtNP1gszGX7pJx/jc9+6z9dfXOIbV5cZTUd53zuu7DtM03Y8KrbH2akUI+nmQi0cHUNXSccjddMQ26dkNBLgWFQnW7ApVdyB6VQslB3uLOTw/KBuY9FB8P2A+8v5rVXuvaUCfhBg6CrnptO87uFJLs1mGBuKDcQ3wcF4BR2SqbEkxVND3F3MUbEdkvHGO7sRQ+NHnjrLo+dH+Mvrq7zl1bOk99msKZZcFBUunx4emDdzNzCSjnBnKb9HgJNxg5mxBNfvZ3nzq2Yb3l/XVFY2S5yZTB93qB3F9wOW1ossrpeIRzXiR1iFOq7Hl/5ygW9ZyxQrLgAzYwne8PgUF2cznJlMDWSnobzr9yEVN3jozDCLa0VWNsskYjqG3viFcnYqzdmp5m/MIAjIFV3SCZ3TE+mmjye0n2TVY7l+NUSGLz+/0NSGMh7VWM9VmBxJ9O20klLF5d5ynlLFPfKq99rdDT757B028javvDzO5dk0F2YzA5tH344IcAvomsqpiRRDqXADx7Z9EnHtUC/KWr53aiTO5GhC7CY7wFYawvX2COil2SH+218ucHM+xyPn6jfLKIqCpqqsZcvMjPWXSU8QBKxmy8yvFDAM9UiOfJsFm089e4erdzYYH4rx/ndc4TWPzLC+0byRaZAQAT4AqbjBlTPDLKwVWMtWSER19AOsXiuOh+14nJtOM7xPblg4XrbSELsE+PRkkoihcv3+ZkMBhnAVvLoZmvT0yzcY2/G4v5InV3BIJQxU9XCLA8/3+foLS3zhO3MEAfyV157iDY9N7TE6EkSAD4yuqZyeSJNJRLi7XKDi+CRi+6+GCyUXTVO4fEryvd1AozSEpqpcmGlejgZVk54A1vNlJod7u3IlCAI2Czb3lvKhqdQRjKDuLuX52Fdvs7Re4qHTQ/zIU2cZkc7OhogSHJJMMsqVqMH8aoG1XIVUg9KcWr43kzA4PaAbDd1I8zREBuvORrjCbVK/nYhrLK+XGE3Hevb36np+6Fvd5DXcCsWyy2e/eY9vv7RCJmHw7rdewjw7PBCVDEdBBPgIGLrKmckUmWSE+8sFbMXfUa/oej6FksPUSELyvV1IozTEpapXx/W5bFMB1lQVz3fJFux9a727Dd8PyBYqzK0WCXwYOuRGWxAEfPflVf78uXuUbZc3PDbFW149e6JmUkEQ4PkPZsR51XlxtakX4fShAFVRUFUFTVPQ1PBPpxEBPiKKojCcipKM6cytFNnMh4Xqrhf2q5+fzuxbCyx0hkZpiJF0lLFMlKu313nq0ammj5GI6SyuFRlORQ+dMz1JasI7v1bEdQPiUe1A+xjbWVov8bGv3ubuUp4zkyne+YazTB1DI1EQBFRsD8fzCQJ2flAEAar6oIkioocjhmreD3r1d+L6Aa7rU7G9cC/G9SlXXLRIhVzR2SPSEJxIhYsIcJswdI2zUyk2kgb3lwvousrl00OS7+1imqUhXmtO8OffuMe1uxtcqU6qroeuqRRLLtmi3dUbq/WENx49nPDajscXvzvP176/SDSi8eNPn+fVl8fanm5wXZ9SxQMlIJOIMJmIoOvq1upVU8Ofj/LBNzKaZGExi+eFgzht18Opzqo7iYnkog5tRFEURtIxUvEIikLP5gUHiUZpiNc/PMm3rBU+/Y27XJrNNN3Bj8c0ltZLDCUjXZfz9P2Atc0S1t31IwsvhKveP/78y6xmK7zmoXHe9sSptg4PCIKAUsXF9QIihsbsRJJMwjiwx0Or6Joa/u47VM8tAnwM9EtZ0iCQrH5Y7qmG0FTe8fozPPOZl3j2xSXe+Ph0w8cwdI3Ngk2h7JLqEivR7SveRDKGoalHEl6A791Y5SNfuU3U0Hj/O65wfqZ9do2241GpmuWPZaIMp6ID4SksAiwMNIaukorVT0NcPj3ElTNDfPE7c7zi4mjT1vKYobG4ViTVxGz/JKiXahhORVl33UM/puf5/Plz9/j6i0ucnUrxrrdc3LfNvtVYSxUPz/dJxnTOTCRJJSID9c1xcP6lgtCAkXSEil1/UsZffd0ZPD/gs9+83/QxohGt6lVbf6LGceP7ARu5Mtbdde4uFTC00Kf3sBtsNXJFm9//lMXXX1ziqUeneN87rhxJfIMgoGyHlSPlisvYUJQrZ4a5dGqY4R4u5zsssgIWBp5GaQiA0UyMH3hsii8/v8AT5gRnmkw/MXSF5Y0y584cd8QPqDVRzK8W2pLj3c6thRz/5QvXsV2fd73lIo9dqD9EtlVsx2OjUCEW0Tk1HiMZO3y3Xb8wWB83glCHcIqCgd1gxt8PvnKGdMLgk8/eqTtVuUYsorFZqFCqHP7r/kEolh2u39/k9mKubSteCEX9q99b4A8/ZRGL6PzCjz1yJPENhw04+AE8cn6M89MZ0onIwIsviAALAlAd2NkgDRExNH74ydPMrxb5zksrDR9DUcIi/6W14nGFCYSeIncXc7x0fxPPDxhKRtoivLXH/vAXbvDnz93j4bMj/MKPPbLvNJdmuK5PrugwnI5w+dRQ12xSdguSghAEagM766chAB6/MMpzV5f57Lfu88i5EWIN6rsTUZ3ljSLpiEa6zeVTruezli2zuF4MPRsS7R0JtLxR4o8/f53VbJm3P3maH3hs6kiPXyq7+AGcn06TSXZvjXQnkRWwIBCWkiViBk6DNISiKPzIU2coll3+4rvzDR9HURSSsQj3VwpcvbPOzfks2YJdd+hjq/hBuMF27e4Gi+slkjGDZKy94vv9m2t84KMvUqq4vO8dJm94fPrQj+/7YV46HtW5cmZIxLcJsgIWhCqjmSj3lvINfQxmxpK89so433hxiddeGW/41dzQVdIJozo+3eP2Qg4UGE5FGEnHSMT0ln1BCmWHuZUCpYpLIta+WWw1PN/nM8/d59kXFjk9meRn3nLpSB7AZdvFcXxOj6cYzUT7vo73qIgAC0KVVvKTb33tKV64tc4nn73D3/yrV5oKjKIoRCMa0YgWbkSVHNZzNroaVlcMpaLEIvWtTCu2x8J6kY1chVhUO5IoNiJXtPkvf3GDO4t5Xv/IJG9/8vShPXtD1z+HeFTn/JlMw2kiwk7kf0kQqtTSELbjNVwFJ2MGP/SaWT757F2sOxs83MS0fTuKohCP6sSj4Vf01WyZpc0yEV1lPBMjnYwQNTRcz2dls8TyeglNU488DqgRL9/b5M/+201s1+en33yBxy+OHfqxbMejXPGYHI0zOZyQ6oYDIAIsCNvYLw0B8KQ5yTet5dAn4tTQgVvPVVUhWV1th+Pei8ytFUlENCquT+AHJOPHUyPruD6f/WbY1TY5HOd9b7nI5MjhqhyCIAgHDagKl04PyYy3QyACLAjbaCUNoaoKP/LUWf7wU9f46vcXmk5Q3g9dU0klQgG3HY+YoR7b6J7F9SJ/8hc3Wdoo8dQjk7ztidOHLl8Lva5dxjJRpseSA9fB1i5EgAVhG62kIQAuzGR45NwIX35+gVddHmeoDTna4zIx94OAr31/kc9+8x7xqM573v4Ql4/gWWE7HhXbl9mGbUA+tgRhF6OZxk0Z23n7k6cJgoDPPHfvBKI6HLmize/8yfNb6ZL/4ScfPbL42o7PpVNDIr5t4MRXwKZpngU+BEwCFvBey7Lyu66JAP8BeBIoAe+xLOuqaZoGsArc2Hb5E5Zl7f9uEYQWabVbazgd5Y2PT/PF787zpDnBuen0MUd2MK7eXucjX7mN6/n86BvO8dor40fa0HPcUHwvzg7tGL0lHJ5OrIB/G/hty7IeBp4D/nGda/4eULAs6xHgfwI+WD3+SuCrlmW9etsfEV+hrWxPQ+zH06+YZigZ4ZPP3qnOIes8tuPx0a/c4o8+f53hVIR/+J4neMKcOLL4lm2fi7MZEd82cqICXF3Bvhn4cPXQB4GfrXPpjwL/EcCyrC8CE9WV8+uqPz9nmubXTNN8y/FHLQwiraYhDF3j7a87zeJ6iW9dWz6ByJozt1Lgdz/yAt+6tsIbH5/mv3vnw0yNHm1Om+P6lG2vKr5S6dBOTvqjbBzIWpZVs4uaB07XuW62eo5d1wXAnwL/DHgc+IRpmo9bltXYIWUbY2ONrQQbMTHRXV8ruymebooF2hvP0HCCbMVvaczQG1+V4Dsvr/KF78zxxleFL+eR4WTbYmkF3w/43Dfv8omv3iKTiPAr75wOl54AAA8ySURBVHolD515UKN82Hhs16NYdnmlOUWqDSbs0N+vm4NybAJsmubPAv961+GXCEV0O/Wa5NVd1ymAb1nW72w79m3TNJ8Fngb+rJWYVlfzB/qaODGRZnk51/L1x003xdNNscDxxKMHPnfnNkkn91/1ve2JU/z7//oCf/oXL/HeH3mU9Y1CW2Npxma+wp9+6Sa3F/M8en6EH33DOeJRfSuGkeHkoeIJh2K6XJgdolSoUCpUjhxrv79uDirmxybAlmX9MfDH24/VNtFM09SqudsZYK7O3e9Vz12v3p4G5kzTfB/wFcuyascVoDMjCIS+Z3osQb7kUnH2jivazdRIgifNSZ6zlnjrE3nixvF3g2ULNl9/cYlvWssEQcBPvuk8r7zUnunErutTrLhcnBULyePkRHPAlmU5wJeAn6seej/wiTqXfrx6DtM03wSULcu6A7wK+IfV4ybwmurjCULb0VSVM5MpKrbX0jenH3rNLLGIzn/6c4sbc9lj25SbXy3wJ1+8wb/58PN89fsLXDqV4Rd/4lFedfloVQ41XC8U3wszGRHfY6YT25m/Avy+aZq/DtwB/gaAaZq/BMxalvVPgP8b+B3TNL8PVID3Ve/7fwC/Z5rm9whTFO+3LKt7vs8IfUcipjM7lmRupUAm1TwHGo/qvPMHzvLRr97mQ5++Rjph8NiFUV5xcYzp0fiRxDEIAl66t8lXv7/I7YUcEUPldY9M8tQjkwyn21eP63o+xbLL+el0WwZvCs1Rmo1Y6SPOAzclB9w+uikWON54/CDg9kK2agm5/4owmYrx9efneP7GGi/f38T3A8aHYrzi4iiPXxxj5ACC6bgef3l9ja99f5HVbJlMMsJTj0zymivjLTuOtZoD9qrtxednjs9Avd9fNxMT6QN9ykpBnyDsg6oonBpP8dK9TVzX39c/IaJrPHZhlMcujFIsu7xwa43nb6zx+W/P8flvz3F6MskrLo7x2PmRhoKeLzp84+oSz1nLlCous2MJfvrNF3nk/DCa2v7Moef5FMou52R6xYkiAiwILRAxNM5MJrk5nzuQRWQipvPkw5M8+fAkG7kK37u5xvM3VvnE1+7wqWfvculUhldcHMM8O4Shayytl/jaC4s8f30Vzw8wzwzzA49NcXYqdWzm5p7nky+7nJ9KMyTtxSeKCLAgtEgmGWV8yGE9VyGVOPjm1HA6ypteOcPTr5hmcb3E8zdW+d6NNV66t0lEV5kYjnN/pYCuqbzmyjhPPTLF2FDsGP4lD/B8n3wpXPmK+J48IsCCcAAOUprWCEVRmB5NMD2a4G2vPc3txRzfu7HG3EqBt75mlifMyRNp961ZSp6dSomxTocQARaEA6CpKmenUrx0bwNDU49smq6qChdmMlyYybQpwtYolh2CQOHCMW64CfsjdpSCcEDiUZ3Z8ST5Yu/1APl+QDYfTix+6LRMLO40sgIWhEMwlomRK9qUyi7xHnEHq9getuMxO5FkLBOTicVdgKyABeEQKIrC6YkUfhC27XYzfhCQK9ioqsLl08OMDx2tKURoHyLAgnBIDD0sTSuUXbq1oclxPbL5ChPDcS7NDhGP9sZqfVAQARaEI5BJRpkYjpMvuftffIIEQUCh6OK4Aeb5UabHkjIuvgsRARaEIzI1Gieiay0ZuJ8EnuezWXDIJA2unBkWT4cuRgRYEI5IrTSt4rTmmnacFMsupYrH+ek0Z6bSMi6+y5HfjiC0ga3StFJnStNq5WWxiMaVM8PSWNEjSEZeENrEWCZGvuiQL9kn9py+H1C2XVwvYHY8yehQDFUqHHoGEWBBaBOKonBqIslyziZfdIhGNIx9nNMOQxAE2I6P7fgoSjhAdCQdkwqHHkR+Y4LQRgxdwzw/yk0F1vMVsgUbBYhENCK6esTR8P9/e3cfZFVdx3H8fffuw90FFtAlBfOBhvyaJaOJWZOpBZqS+ZBZjU5ihsioY2MqlaH5MIEPgzpJ0oxKWlQ2ppYGOhpSOak0NCAU+M0xtAcZ07HkIdhddrc/fr+Lh8NdWOCeexb285ph2Ht+5+z5zm/P+d5zfuec7+lmU3sX0MPglkZGtg1iUKk+k/KUUhtKwCJVVmqsp21YM23Dmuno7GLDpk7+u66DDRs76emB+voCTQ3FPt0W1t3dw8b2zXR1Q1NDkVEjBtHa0kBD/a4VApL+RQlYJEONDUUaG4oMH1La8q61d+KRcVc3FItQaixudRTb09NDe0cXnZu7KdYV2Le1xNDBTZQai3qCbS+jBCxSI/XFOlpbGmltaQxHth2bWbehg7fXt9O1uYtCITw2XKDA0MGN7NNaoqWpXg9Q7MWUgEVyUFdXYFCpgUGlBvbbp4VNHWGoolhXYEhLo+7fHSCUgEVyVigUaG6q110MA5C+ZkVEcqIELCKSEyVgEZGcKAGLiORECVhEJCdKwCIiOVECFhHJiRKwiEhOlIBFRHKiBCwikpOB8uxjEdiloib9rRBKf4qnP8UC/Sue/hQL9K94+lMsUPV4DgH+CfTpNdmFnp58XyJYI8cBz+YdhIgMCKOBV/sy40BJwE3AMcAaoH+8O1xE9lY6AhYR6e90EU5EJCdKwCIiOVECFhHJiRKwiEhOlIBFRHKiBCwikhMlYBGRnCgBi4jkZKDUgtguMzsXmA40AHe6+/dT7UcC9wKtwO+Bqe7epydddiGW7wBfiB/nu/u0Cu0XAv+Jk+5Jx1vleBYB7wE646SL3X1xon0CcDvQDPzc3adnGMtk4LLEpNHAj939ssQ8mfePmbUCzwGnufurfekDMzsImEfoSwfOc/f1GcQyBbgc6AGWEP5eHallJgE3A2/ESfPd/du7G0sv8fyQUApgQ5zlBnd/NLVMJvtXMhbgcGBGovkAYLG7n5ZaJrO+qWTAJ2AzOwD4LnA00A48Z2aL3H1lYrZ5wGR3f8HM7gMuAuZkEMsE4GTgKMIO9KSZnZXaYMcBX3L356u9/grxFIBDgYMr7RBm1gzMBU4A/gHMN7NT3f2JLOJx93sJOypm9kHgl8D1qdky7R8zOxa4h9AvO9MHdwN3u/uDZnYtcC3wjSrHcihwNWFbXgfcD1wK3JFadBzwdXf/2e6sf0fxJNZ1vLuv2c6iVd+/0rG4+wJgQWzbH/gDcEWFRTPpm95oCAImAM+4+9vuvgH4BfD5cqOZHQw0u/sLcdL9wDkZxbIGuNLdO9y9E1gFHJSaZxxwjZktN7PZZlbKKBYAi/8/ZWYvmtllqfaPAC+7++qYoOeRXd+kzQGucfe3UtOz7p+LCEnt9fh5h31gZg3A8YRtC6q3DaVjaQcucfe17t4DrGDb7QdCXZRJZrbCzOaZ2fAqxLJNPGbWEtc/N/49bjCzrXJOhvtXum+SbgN+4O4vV2jLqm8qUgKGUYTEV7YGeO9OtFeNu/+lvCGa2fsJQxELyu1mNhhYSjjK+TAwjHAklZXhwELgLGA8MNXMTkq016xvkuKZQrO7P5Sannn/uPtkd09W1utLH7QBaxNnEVXpp3Qs7v6auz8NYGYjCMM1v6qw6BrgJmAs4ah99u7GUikeYH/gGcKQ0EeBTwBfTS2WyTZUIRZgy351IvC9XhbNpG96M+CHIAhfQsmKRAWgeyfaqy6eXs8Hrk5+S8cxw4mJ+WYRTn8zGaOKp/FbTuXj6eFE4Ok4qeZ9E11MGHPdSq37J+pLH6TnocI8VROH1Z4A7nP336bb3f2sxLy3Aq9kEYe7/43w5V1e113A+YShgbJab0NTCENB7ZUaa9U3ZToCDqXjRiY+78/Wpy07aq8qM/s44ajzm+7+QKrtIDO7MDGpwLsXx7KI5TgzG7+d9dW0b2JMjYTx1scqtNW0f6K+9MG/gaFmVoyfR1aYpyrM7DDChacH3P2mCu1DzSw59lmgj6UTdyGWI8zs7NS60n+PWm9DZwIPVmqoZd+UKQHDb4DxZjYijlmdDTxZbnT314BNMTECfJlwdFF1ZnYg4cLSue5eaSPZCNxqZqPjBbJLgUcrzFctw4DbzKxkZkOASan1LQ5h25iYXM4lo75JGAv8NY7Xp9W6f6APfRDH858FvhgnnZ+epxri3+gpYLq7z+pltvXAtHiRCsIwRVZ9VADuNLPhcRx8SnpdNd6/2ghDV6t7maWWfQMoAePu/yKcoi4ClgE/dfc/mtkCMxsXZzsPuMPMXgIG0/v40e66CigBt5vZsvhvajkWd3+TcPr9OOFWpgLQ246229z914ShkKXAn4C57v58jGuUu28CLgAeBlYCL/HuhaasvI9w1LRFXv0DsL0+MLN7zez0OOslwBQzW0kYC83idr3JwH7AlYnt58ZkLO7eRbi2MMfMVhHumJjW+6/cde6+HJhJuONgJbCsfHdBTvvXNttOjKXmfVOmguwiIjkZ8EfAIiJ5UQIWEcmJErCISE6UgEVEcqIELCKSEyVg2aOZ2VNm1hZvazo8xzjGmdkOb8Ezs+vM7IxaxCT9nx5Flj3dSQDuPnFHM2bJ3ZeQKOK0HZ8i3BMrovuAZc9lodbsBcCfCfVejyXcyD8T+DuhmtsGQn3Xy+Pnh939irj8ZwkPRDQC/wOuig+aXA+MAQ4kPCa7jFAucW2s0zEb2JdQw2CWu//IzE4EZrv7h8zsfmAtcET8HcsJT79NAm4B3iSUPMz6KT3p5zQEIXssd/9K/PGThMpVZccAN7v7kYRE+C3gM4QKaZea2ahYFWsGMNHdjyI8JvuImQ2Kv+MEwlNRhxHqAVxnZvWEGhR3uftY4FRghpl9rEJ4RwOnAB8ADgHOiYXhlxCKLCn5ihKw7JVWu/vS+PMrwKJYY/ktQkLehzB0MRJYaGbLgJ8QqnCNics95O5vuHs3cB/waUJx75K7PwLg7q8THkE+pUIMT7p7e6wDsSKuU2QrGgOWvVG61GClimhFYKG7lwvklIshvU4ooZisglUHdMVl0mN2dYRXWaVtTPzcQ6hLIbIVHQHLnq6LyglwRxYCJ8fyjZjZRMJYbXNsPyOWJ6wjvF3hcUKhnU4z+1xcZhShet7T6V++HZt3MV7ZCykBy57uIeB3hItvfRbf+TcFeNDMXiS8BeH0xIsy3yC8jWQV8A4wIw4nnAl8zcyWE0qZ3ujui3Zi1Y8BMy28/FEGON0FIZIS74JoS75tWSQLOgIWEcmJjoBFRHKiI2ARkZwoAYuI5EQJWEQkJ0rAIiI5UQIWEcnJ/wF8Q7iLceRXFQAAAABJRU5ErkJggg==\n", + "image/png": 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\n", 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" ] @@ -769,7 +769,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -798,7 +798,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", + "image/png": 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\n", 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\n", 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\n", "text/plain": [ "
" ] @@ -1206,27 +1206,27 @@ " \n", " 0\n", " 2017-01-01\n", - " -0.982895\n", + " 0.365383\n", " \n", " \n", " 1\n", " 2017-01-02\n", - " -0.506648\n", + " 1.492597\n", " \n", " \n", " 2\n", " 2017-01-03\n", - " -0.448849\n", + " 0.979119\n", " \n", " \n", " 3\n", " 2017-01-04\n", - " 0.474032\n", + " 0.215438\n", " \n", " \n", " 4\n", " 2017-01-05\n", - " -0.368041\n", + " 0.239754\n", " \n", " \n", "\n", @@ -1234,11 +1234,11 @@ ], "text/plain": [ " time value\n", - "0 2017-01-01 -0.982895\n", - "1 2017-01-02 -0.506648\n", - "2 2017-01-03 -0.448849\n", - "3 2017-01-04 0.474032\n", - "4 2017-01-05 -0.368041" + "0 2017-01-01 0.365383\n", + "1 2017-01-02 1.492597\n", + "2 2017-01-03 0.979119\n", + "3 2017-01-04 0.215438\n", + "4 2017-01-05 0.239754" ] }, "execution_count": 30, @@ -1259,7 +1259,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] diff --git a/lessons/lesson14.4.ipynb b/lessons/lesson14.4.ipynb index daed9c5..ba3a33f 100644 --- a/lessons/lesson14.4.ipynb +++ b/lessons/lesson14.4.ipynb @@ -991,7 +991,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1082,7 +1082,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", 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\n", 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" ] diff --git a/lessons/lesson14.5.ipynb b/lessons/lesson14.5.ipynb index 81d6e3b..9ed58ad 100644 --- a/lessons/lesson14.5.ipynb +++ b/lessons/lesson14.5.ipynb @@ -97,7 +97,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 6, @@ -138,7 +138,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 7, @@ -175,7 +175,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -214,7 +214,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 9, @@ -251,7 +251,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 10, @@ -277,7 +277,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The bandwidth (``bw``) parameter of the KDE controls how tightly the estimation is fit to the data, much like the bin size in a histogram. It corresponds to the width of the kernels we plotted above. The default behavior tries to guess a good value using a common reference rule, but it may be helpful to try larger or smaller values:" + "The bandwidth parameter `bw` of `kdeplot()` controls how tightly the estimation is fit to the data, much like the bin size in a histogram. It corresponds to the width of the kernels we plotted above. The default behavior tries to guess a good value using a common reference rule, but it may be helpful to try larger or smaller values:" ] }, { @@ -288,7 +288,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -328,7 +328,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 12, @@ -389,7 +389,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 14, @@ -530,7 +530,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 17, @@ -590,7 +590,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -601,7 +601,7 @@ ], "source": [ "with sns.axes_style(\"white\"):\n", - " sns.jointplot(x=x, y=y, kind=\"hex\", color=\"k\")" + " sns.jointplot(x=x, y=y, kind=\"hex\", color=\"blue\")" ] }, { @@ -621,7 +621,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 20, @@ -658,7 +658,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 21, @@ -698,7 +698,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 22, @@ -737,7 +737,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 23, @@ -876,7 +876,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 25, @@ -913,7 +913,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 26, @@ -936,6 +936,13 @@ "g.map_diag(sns.distplot)\n", "g.map_offdiag(sns.kdeplot, cmap=\"Blues_d\", n_levels=6)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From bc302c27b4d531a725f02bcb7e38f6f386764c17 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Wed, 14 Nov 2018 16:21:16 -0800 Subject: [PATCH 50/78] updates to assignments 7-9 --- assignments/assignment7.md | 30 ++-- assignments/assignment8.md | 54 +++---- assignments/assignment9.md | 36 ++--- data/la_jolla_precip_daily.csv | 256 +++++++++++++++++++++++++++++++++ 4 files changed, 316 insertions(+), 60 deletions(-) diff --git a/assignments/assignment7.md b/assignments/assignment7.md index c1e4ec4..475d6a4 100644 --- a/assignments/assignment7.md +++ b/assignments/assignment7.md @@ -6,30 +6,30 @@ Complete the tasks below. Please turn in a single Jupyter notebook named `7_firs For this assignment, we will collect and wrangle data about the moons orbiting planets in our Solar System, and then we will make some plots from those data. -**1.** Data collection and wrangling. +#### A. Data collection and wrangling -* Find an online resource with data about the moons and planets of the Solar System (sizes and distances). -* Create an Excel spreadsheet `moons.xlsx` with the following information about each moon (suggested column names shown): +1. Find an online resource with data about the moons and planets of the Solar System (sizes and distances). +2. Create an Excel spreadsheet `moons.xlsx` with the following information about each moon (suggested column names shown): - Moon name (`moon_name`) - Host planet name (`planet_name`) - Moon diameter in kilometers (`moon_diameter_km`) - Moon–planet distance in kilometers (`moon_planet_distance_km`) -* Create an Excel spreadsheet `planets.xlsx` with the following information about each planet (suggested column names shown): +3. Create an Excel spreadsheet `planets.xlsx` with the following information about each planet (suggested column names shown): - Planet name (`planet_name`) - Planet diameter in kilometers (`planet_diameter_km`) - Planet–Sun distance in kilometers (`planet_sun_distance_km`) -**2.** Comparing moon diameters and volumes to their host planets. +#### B. Comparing moon diameters and volumes to their host planets -* Import `moons.xlsx` and `planets.xlsx` as Pandas DataFrames using `pd.read_excel()`. -* Merge the DataFrames using the planet names (hint: set `left_on=planet_name` and `right_on=planet_name`). -* Calculate the volume of each moon and planet; add these to your DataFrame (suggested column names: `moon_volume_km3`, `planet_volume_km3`). (Reminder: Volume = 4/3 * Ο€ * (Diameter/2)**3.) -* Plot moon diameter versus host planet diameter (i.e., x-axis = `planet_diameter_km`, y-axis = `moon_diameter_km`) and label each moon next to its corresponding marker. Save this plot as a PDF image. -* Plot moon volume versus host planet volume (i.e., x-axis = `planet_volume_km3`, y-axis = `moon_volume_km3`) and label each moon next to its corresponding marker. Save this plot as a PDF image. -* Optional: Go back to the plots and resize the markers so they are proportional to moon diameter. +1. Import `moons.xlsx` and `planets.xlsx` as Pandas DataFrames using `pd.read_excel()`. +2. Merge the DataFrames using the planet names (hint: set `left_on=planet_name` and `right_on=planet_name`). +3. Calculate the volume of each moon and planet; add these to your DataFrame (suggested column names: `moon_volume_km3`, `planet_volume_km3`). (Reminder: Volume = 4/3 * Ο€ * (Diameter/2)**3.) +4. Using either Matplotlib or Seaborn, plot moon diameter versus host planet diameter (i.e., x-axis = `planet_diameter_km`, y-axis = `moon_diameter_km`) and label each moon next to its corresponding marker. Save this plot as a PDF image. +5. Using either Matplotlib or Seaborn, plot moon volume versus host planet volume (i.e., x-axis = `planet_volume_km3`, y-axis = `moon_volume_km3`) and label each moon next to its corresponding marker. Save this plot as a PDF image. +6. Optional: Go back to the plots and resize the markers so they are proportional to moon diameter. -**3.** Comparing moon and sun angular diameters. +#### C. Comparing moon and sun angular diameters -* Calculate the angular diameter of each moon as if you were standing on the surface of its home planet; add these to your DataFrame (suggested column name: `moon_angular_diameter_arcsec`). (Reminder: Angular diameter in arcseconds = 206265 * Diameter / Distance.) -* Calculate the angular diameter of the Sun as if you were standing on the surface of each home planet; add these to your DataFrame (suggested column name: `sun_angular_diameter_arcsec`). -* Plot moon angular diameter versus Sun angular diameter for each moon and label each moon next to its corresponding marker (i.e., x-axis = `sun_angular_diameter_arcsec`, y-axis = `moon_angular_diameter_arcsec`). Add a line corresponding to a 1:1 ratio. Save this plot as a PDF image. +1. Calculate the angular diameter of each moon as if you were standing on the surface of its home planet; add these to your DataFrame (suggested column name: `moon_angular_diameter_arcsec`). (Reminder: Angular diameter in arcseconds = 206265 * Diameter / Distance.) +2. Calculate the angular diameter of the Sun as if you were standing on the surface of each home planet; add these to your DataFrame (suggested column name: `sun_angular_diameter_arcsec`). +3. Using either Matplotlib or Seaborn, plot moon angular diameter versus Sun angular diameter for each moon and label each moon next to its corresponding marker (i.e., x-axis = `sun_angular_diameter_arcsec`, y-axis = `moon_angular_diameter_arcsec`). Add a line corresponding to a 1:1 ratio. Save this plot as a PDF image. diff --git a/assignments/assignment8.md b/assignments/assignment8.md index c92eaac..8862a4c 100644 --- a/assignments/assignment8.md +++ b/assignments/assignment8.md @@ -4,40 +4,40 @@ Complete the tasks below. Please turn in a single Jupyter notebook named `8_firs #### Precipitation in La Jolla -For this assignment, we will use a file containing daily precipitation data in La Jolla from February 2009 to February 2018, which were downloaded from [NOAA](https://www.ncdc.noaa.gov/cdo-web/datasets/GHCND/stations/GHCND:US1CASD0030/detail) using "standard" (imperial) units (inches for precipitation, feet for elevation). Download the file from [GitHub](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/la_jolla_precip_daily.csv). +For this assignment, we will use a file containing daily precipitation data in La Jolla from February 2009 to November 2018, which were downloaded from [NOAA](https://www.ncdc.noaa.gov/cdo-web/datasets/GHCND/stations/GHCND:US1CASD0030/detail) using "standard" (imperial) units (inches for precipitation, feet for elevation). Download the file from [GitHub](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/la_jolla_precip_daily.csv). -**1.** Set up the file. +#### A. Set up the file -* Import the csv file as a Pandas DataFrame with default header and index. -* Change the 'DATE' column to a timestamps using `pd.datetime()`. -* What was the maximum daily precipitation (in inches) during this time period and when was it? +1. Import the csv file as a Pandas DataFrame with default header and index. +2. Change the 'DATE' column to a timestamps using `pd.datetime()`. +3. What was the maximum daily precipitation (in inches) during this time period and when was it? -**2.** Explore the dataset. +#### B. Explore the dataset -* We don't need the columns 'SNOW' and 'SNOW_ATTRIBUTES' because there was no recorded snow in the dataset. Delete those columns "in place". -* Find out about the sampling stations. Notice that the column values are similar between rows except 'DATE' and 'PRCP'. Explore these other columns using three different commands (we haven't covered them yet, but they are easy to use and you can always google them): - * Use the `value_counts()` method for each of these columns: 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION'. There should only be one cateogory for each calculation because all the data come from the same station. To see what output looks like for a more diverse series, use the `value_counts()` method on 'PRCP' and 'PRCP_ATTRIBUTES'. - * Make a DataFrame with just the columns 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION' and use the method `drop_duplicates()` to see all the unique combinations of values in those five columns. - * Create a groupby object using `groupby('STATION')`, then use the `count()` method on that groupby object to count the number of values for each station. +1. We don't need the columns 'SNOW' and 'SNOW_ATTRIBUTES' because there was no recorded snow in the dataset. Delete those columns "in place". +2. Find out about the sampling stations. Notice that the column values are similar between rows except 'DATE' and 'PRCP'. Explore these other columns using three different commands (we haven't covered them yet, but they are easy to use and you can always google them): + - Use the `value_counts()` method for each of these columns: 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION'. There should only be one cateogory for each calculation because all the data come from the same station. To see what output looks like for a more diverse series, use the `value_counts()` method on 'PRCP' and 'PRCP_ATTRIBUTES'. + - Make a DataFrame with just the columns 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION' and use the method `drop_duplicates()` to see all the unique combinations of values in those five columns. + - Create a groupby object using `groupby('STATION')`, then use the `count()` method on that groupby object to count the number of values for each station. -**3.** Plot precipitation versus time. +#### C. Plot precipitation versus time -* Use the Matplotlib function `plot()` to plot 'PRCP' versus 'DATE' as a line. -* Plot 'PRCP' versus 'DATE' each year separately as a different colored line, with a legend indicating the year. Hint: You will have to extract the year from the date somehow, for example with the `.year` attribute or a regular expression. You might find it easiest to add new columns for year and day of year. -* Go back and recolor the two plots above: pick two colors from ColorBrewer or xkcd and draw your subplots again. -* Replot the plots in a subplot with the two sets of axes in a 1x2 formation. +1. Use the Matplotlib function `plot()` to plot 'PRCP' versus 'DATE' as a line. +2. Plot 'PRCP' versus 'DATE' each year separately as a different colored line, with a legend indicating the year. Hint: You will have to extract the year from the date somehow, for example with the `.year` attribute or a regular expression. You might find it easiest to add new columns for year and day of year. +3. Go back and recolor the two plots above: pick two colors from ColorBrewer or xkcd and draw your subplots again. +4. Replot the plots in a subplot with the two sets of axes in a 1x2 formation. -**4.** Plot distributions of the precipitation data. +#### D. Plot distributions of the precipitation data -* Plot a histogram of precipitation values using the Matplotlib function `hist()`. -* Plot a histogram with kernel density and rugplot with the Seaborn function `distplot()`. Play around with the settings to make a histogram that represents the data well. -* Add columns to the DataFrame for year and month. Hint: You can do this with list comprehension and the datetime attributes `year` and `month`. -* Use groupby to group the data by year or by month. Which year was the rainiest? Which month was the rainiest? -* Make boxplots by year and by month using the Seaborn function `boxplot()`. Hint: If you make a boxplot of your DataFrame without grouping, the boxplots will be centered on zero, because there are so many days with zero precipitation. Instead, use groupby to group the data by year *and* month (use a list containing these columns), set `as_index=False`, average over those groups, and save this as a new DataFrame; then use this for your boxplots. +1. Plot a histogram of precipitation values using the Matplotlib function `hist()`. +2. Plot a histogram with kernel density and rugplot with the Seaborn function `distplot()`. Play around with the settings to make a histogram that represents the data well. +3. Add columns to the DataFrame for year and month. Hint: You can do this with list comprehension and the datetime attributes `year` and `month`. +4. Use groupby to group the data by year or by month. Which year was the rainiest? Which month was the rainiest? +5. Make boxplots by year and by month using the Seaborn function `boxplot()`. Hint: If you make a boxplot of your DataFrame without grouping, the boxplots will be centered on zero, because there are so many days with zero precipitation. Instead, use groupby to group the data by year *and* month (use a list containing these columns), set `as_index=False`, average over those groups, and save this as a new DataFrame; then use this for your boxplots. -**5.** Pivoting, stacking and unstacking. +#### E. Pivoting, stacking and unstacking -* Use pivot_table to produce a new DataFrame, where rows=years and columns=months, containing the mean precipitation of each month. -* Draw a heatmap of years x months where each square is a month colored by mean precipitation. Adjust the colormap to highlight months with heavy precipitation. Hint: Seaborn's `heatmap()` function makes this very easy. -* Stack the monthly precipitation table using `stack()`. View the values for 2017. Which month had the most precipitation in 2017? Describe the distribution statistics for all months using `describe()`. How many months are included in this dataset? What was the median month (daily average) value in this time period? -* Use `unstack()` to stack precipitation pivot table by month and then year. View the values for December. Which year had the wettest December? +1. Use pivot_table to produce a new DataFrame, where rows=years and columns=months, containing the mean precipitation of each month. +2. Draw a heatmap of years x months where each square is a month colored by mean precipitation. Adjust the colormap to highlight months with heavy precipitation. Hint: Seaborn's `heatmap()` function makes this very easy. +3. Stack the monthly precipitation table using `stack()`. View the values for 2017. Which month had the most precipitation in 2017? Describe the distribution statistics for all months using `describe()`. How many months are included in this dataset? What was the median month (daily average) value in this time period? +4. Use `unstack()` to stack precipitation pivot table by month and then year. View the values for December. Which year had the wettest December? diff --git a/assignments/assignment9.md b/assignments/assignment9.md index ffe2b7a..ae3abcb 100644 --- a/assignments/assignment9.md +++ b/assignments/assignment9.md @@ -2,35 +2,35 @@ Complete the tasks below. Please turn in a single Jupyter notebook named `9_first_last.ipynb` (substitute your first and last name). Please run Kernel > Restart & Run All on your notebook before turning in. -**1.** Student survey data wrangling. +#### A. Student survey data wrangling -* Download the student survey data from [2015](https://raw.githubusercontent.com/cuttlefishh/python-for-data-analysis/master/data/survey_scores_2015_T.csv) and [2018](https://raw.githubusercontent.com/cuttlefishh/python-for-data-analysis/master/data/survey_scores_2018.csv) if you don't have them already. -* Import the csv files as DataFrames and inspect the files. Notice that the data are formatted differently. Next you will modify them so they are compatible. -* The 2015 data is mostly ready to go. Just convert the Y/N values to True/False (boolean). -* The 2018 data needs a lot of work. Delete the 'Timestamp' and 'Graduate program and advisor' columns. Rename the remaining columns to match those in 2015. Convert the Yes/No values to True/False (boolean). Convert the None/Some/Moderate/Experienced values to 0/1/2/3 (integers). +1. Download the student survey data from [2015](https://raw.githubusercontent.com/cuttlefishh/python-for-data-analysis/master/data/survey_scores_2015_T.csv) and [2018](https://raw.githubusercontent.com/cuttlefishh/python-for-data-analysis/master/data/survey_scores_2018.csv) if you don't have them already. +2. Import the csv files as DataFrames and inspect the files. Notice that the data are formatted differently. Next you will modify them so they are compatible. +3. The 2015 data is mostly ready to go. Just convert the Y/N values to True/False (boolean). +4. The 2018 data needs a lot of work. Delete the 'Timestamp' and 'Graduate program and advisor' columns. Rename the remaining columns to match those in 2015. Convert the Yes/No values to True/False (boolean). Convert the None/Some/Moderate/Experienced values to 0/1/2/3 (integers). -**2.** Statistical analysis. +#### B. Statistical analysis -* In both years, some students have Macs and some have Windows computers. Test the hypothesis that the proportions of Mac and Windows users are the same in 2015 and 2018. Note that in 2018, the question was asked differently and some people listed multiple operating systems; for the purposes of this question, assume that SDNT6 and SDNT10 have Windows computers and SDNT7 has a Mac. -* For each of the 'score' columns shared by both datasets (there are five), use a two-sample *t*-test to determine if the two samples have equal means. Note: To use `scipy.stats`, you may have to import it directly like so: `from scipy import stats`. +1. In both years, some students have Macs and some have Windows computers. Test the hypothesis that the proportions of Mac and Windows users are the same in 2015 and 2018. Note that in 2018, the question was asked differently and some people listed multiple operating systems; for the purposes of this question, assume that SDNT6 and SDNT10 have Windows computers and SDNT7 has a Mac. +2. For each of the 'score' columns shared by both datasets (there are five), use a two-sample *t*-test to determine if the two samples have equal means. Note: To use `scipy.stats`, you may have to import it directly like so: `from scipy import stats`. -**3.** Stock data. +#### C. Stock data -* Download historical stock data from the past three years for a stock of your choice (look up the symbol) and the S&P 500 index (symbol: 'SPX'). Use Panads timeseries operations to calculate the start and end dates. Morningstar seems to be the most reliable source of data (see pandas-datareader [docs](https://pydata.github.io/pandas-datareader/stable/remote_data.html)). However, note that using Morningstar will return a hierarchical index, where the first index is the stock symbol and the second index is the date. For example, to download stock data for Qualcomm and Illumina and see the data for Qualcomm, use these commands, where `start` and `end` are Pandas datatime objects: +1. Download historical stock data from the past three years for a stock of your choice (look up the symbol) and the S&P 500 index (symbol: 'SPX'). Use Panads timeseries operations to calculate the start and end dates. Morningstar seems to be the most reliable source of data (see pandas-datareader [docs](https://pydata.github.io/pandas-datareader/stable/remote_data.html)). However, note that using Morningstar will return a hierarchical index, where the first index is the stock symbol and the second index is the date. For example, to download stock data for Qualcomm and Illumina and see the data for Qualcomm, use these commands, where `start` and `end` are Pandas datatime objects: import pandas_datareader as pdr quotes = pdr.data.DataReader(['QCOM', 'ILMN'], 'morningstar', start, end) quotes.loc['QCOM'] -* Calculate the 52-week high and low for the past year for your stock and for the S&P 500. -* Plot the price at close over the past three years of your stock and the S&P 500. Use a dual y-axis (using `twinx` like we learned in the Matplotlib lesson) to display the two prices side by side on separate scales. -* Calculate the percent change from three years ago for both prices. How did your stock perform relative to the S&P 500? +2. Calculate the 52-week high and low for the past year for your stock and for the S&P 500. +3. Plot the price at close over the past three years of your stock and the S&P 500. Use a dual y-axis (using `twinx` like we learned in the Matplotlib lesson) to display the two prices side by side on separate scales. +4. Calculate the percent change from three years ago for both prices. How did your stock perform relative to the S&P 500? -**4.** Bokeh visualization. +#### D. Bokeh visualization -* Use Bokeh to create an interactive visualization of the stock data you downloaded in Question 3. The HTML file that is generated should use the default content delivery network; i.e., it requires an internet connection to render properly. -* Use Bokeh to create an interactive visualization from a dataset of your choice. You can choose one of the datasets from a previous assignment (e.g., precipitation in La Jolla, moons of the Solar System, or the Earth Microbiome Project) or your own dataset. The HTML file that is generated should be a stand-alone file (`mode=inline`) that does not require an internet connection to render properly. +1. Use Bokeh to create an interactive visualization of the stock data you downloaded in Question 3. The HTML file that is generated should use the default content delivery network; i.e., it requires an internet connection to render properly. +2. Use Bokeh to create an interactive visualization from a dataset of your choice. You can choose one of the datasets from a previous assignment (e.g., precipitation in La Jolla, moons of the Solar System, or the Earth Microbiome Project) or your own dataset. The HTML file that is generated should be a stand-alone file (`mode=inline`) that does not require an internet connection to render properly. -**5.** Final project proposal. +#### E. Final project proposal -* The final project description is [here](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/assignments/final_project.md). Write a short paragraph describing your proposed idea for the final project: the dataset you want to use, what analysis you want to do, and what you hope your code will do and look like when you are done. I will provide feedback when I grade your assignment. If you would like feedback sooner, please email me directly. +1. The final project description is [here](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/assignments/final_project.md). Write a short paragraph describing your proposed idea for the final project: the dataset you want to use, what analysis you want to do, and what you hope your code will do and look like when you are done. I will provide feedback when I grade your assignment. If you would like feedback sooner, please email me directly. diff --git a/data/la_jolla_precip_daily.csv b/data/la_jolla_precip_daily.csv index 42dfa88..b7c9346 100644 --- a/data/la_jolla_precip_daily.csv +++ b/data/la_jolla_precip_daily.csv @@ -3242,6 +3242,8 @@ "US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-02-07","0.00",",,N","0.0",",,N" "US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-02-08","0.00",",,N","0.0",",,N" "US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-02-09","0.00","T,,N",, +"US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-02-10","0.00",",,N","0.0",",,N" +"US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-02-11","0.00",",,N","0.0",",,N" "US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-02-12","0.01",",,N",, "US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-02-13","0.00","T,,N",, "US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-02-14","0.00",",,N","0.0",",,N" @@ -3257,3 +3259,257 @@ "US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-02-24","0.00",",,N","0.0",",,N" "US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-02-25","0.00",",,N","0.0",",,N" "US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-02-26","0.00",",,N","0.0",",,N" +"US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-02-27","0.29",",,N",, +"US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-02-28","0.06",",,N",, +"US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-03-01","0.00",",,N","0.0",",,N" +"US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-03-02","0.00",",,N","0.0",",,N" +"US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-03-03","0.17",",,N",, +"US1CASD0030","LA JOLLA 2.1 SE, CA 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US","32.8257","-117.2501","149.7","2018-11-06","0.00",",,N","0.0",",,N" +"US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-11-07","0.00",",,N","0.0",",,N" +"US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-11-08","0.00",",,N","0.0",",,N" +"US1CASD0030","LA JOLLA 2.1 SE, CA US","32.8257","-117.2501","149.7","2018-11-09","0.00",",,N","0.0",",,N" From 7b90498c162f9fd7f9d8eb6b52f6a873dc867c51 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Sun, 18 Nov 2018 21:32:13 -0800 Subject: [PATCH 51/78] adding assignment 6 answers --- assignments/answers/assignment6_answers.ipynb | 2608 +++++++++++++++++ 1 file changed, 2608 insertions(+) create mode 100644 assignments/answers/assignment6_answers.ipynb diff --git a/assignments/answers/assignment6_answers.ipynb b/assignments/answers/assignment6_answers.ipynb new file mode 100644 index 0000000..65b6110 --- /dev/null +++ b/assignments/answers/assignment6_answers.ipynb @@ -0,0 +1,2608 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Answers to Assignment 6 - Pandas Fundamentals\n", + "\n", + "Complete the tasks below. Please turn in a single Jupyter notebook named `6_first_last.ipynb` (substitute your first and last name). Please run Kernel > Restart & Run All on your notebook before turning in.\n", + "\n", + "#### The Earth Microbiome Project\n", + "\n", + "For this assignment, we will use Pandas to examine metadata from the [Earth Microbiome Project](http://earthmicrobiome.org/).\n", + "\n", + "First, download the metadata file for a 2,000-sample subset of the >27,000 samples in the Release 1 16S rRNA dataset.\n", + "\n", + "```\n", + "curl -O \"ftp://ftp.microbio.me/emp/release1/mapping_files/emp_qiime_mapping_subset_2k.tsv\"\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# import the required pacakges\n", + "import pandas as pd\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# set the maximum number of rows displayed\n", + "pd.set_option(\"display.max_rows\", 10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to A. Reading and summarizing" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "1. Import the tab-separated values file `emp_qiime_mapping_subset_2k.tsv` as a DataFrame called `df` with default data types, with the first row as column labels (columns) and the first column as row labels (indexes)." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv('../../data/emp_qiime_mapping_subset_2k.tsv', sep='\\t', index_col=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "2. The indexes should be the sample IDs. How many samples are in this DataFrame? How many metadata columns?" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(2000, 75)" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "3. What are the minimum and maximum pH values in the dataset?" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(3.45, 12.3)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.ph.min(), df.ph.max()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "4. What are the average and standard deviation temperature values in the dataset?" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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Indexing, slicing, and writing" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "1. Make a new Series called `temp` with the temperature column as its own Series object. Remove NaN values (`np.nan`) from this Series. How many values are left?" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "temp = df.temperature_deg_c" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "temp.dropna(inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "#SampleID\n", + "678.OA.mesocosm.362 11.000000\n", + "678.OA.mesocosm.376 10.800000\n", + "678.OA.mesocosm.410 12.100000\n", + "678.OA.mesocosm.417 11.000000\n", + "678.OA.mesocosm.431 11.100000\n", + " ... \n", + "2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoIndex.L005 18.300000\n", + "2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoIndex.L006 20.236952\n", + "2300.BB.4087.anus 35.055556\n", + "2300.BB.4087.lavage20 35.055556\n", + "2300.BB.08.lavage20 36.222222\n", + "Name: temperature_deg_c, Length: 411, dtype: float64" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "temp" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "2. Make a new DataFrame called `df_seqs` from columns `sequences_split_libraries` through `observations_deblur_150bp` (column positions 17-23) of the existing DataFrame. What is the mean value of `column observations_deblur_90bp`?" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " sequences_split_libraries observations_closed_ref_greengenes \\\n", + "count 2000.000000 2000.000000 \n", + "mean 118683.372000 91485.516000 \n", + "std 100946.740563 85329.714404 \n", + "min 10470.000000 10030.000000 \n", + "25% 53760.500000 36146.000000 \n", + "50% 92211.500000 66816.000000 \n", + "75% 148746.750000 117519.250000 \n", + "max 819180.000000 713117.000000 \n", + "\n", + " observations_closed_ref_silva observations_open_ref_greengenes \\\n", + "count 2000.000000 2000.000000 \n", + "mean 94659.511500 115786.274500 \n", + "std 87431.980992 99960.933222 \n", + "min 10253.000000 10457.000000 \n", + "25% 37562.500000 49896.500000 \n", + "50% 69017.000000 89555.500000 \n", + "75% 120490.500000 144549.750000 \n", + "max 717450.000000 814606.000000 \n", + "\n", + " observations_deblur_90bp observations_deblur_100bp \\\n", + "count 2000.000000 2000.000000 \n", + "mean 64789.053500 58213.264000 \n", + "std 58928.224713 55653.344075 \n", + "min 5275.000000 0.000000 \n", + "25% 28138.750000 22395.750000 \n", + "50% 50559.500000 47044.500000 \n", + "75% 81776.750000 74205.000000 \n", + "max 589438.000000 573024.000000 \n", + "\n", + " observations_deblur_150bp \n", + "count 2000.000000 \n", + "mean 18119.118000 \n", + "std 30223.641917 \n", + "min 0.000000 \n", + "25% 0.000000 \n", + "50% 4042.000000 \n", + "75% 26975.000000 \n", + "max 294681.000000 " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_seqs.describe()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "...or we can get the mean on a single column (Series) using `mean()`." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "64789.0535" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_seqs.observations_deblur_90bp.mean()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "3. Save `df_seqs` as a csv file." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "df_seqs.to_csv('emp_qiime_mapping_subset_2k_seqs.csv')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Answers:**\n", + "\n", + "* There are 411 non-NaN temperature values.\n", + "* The mean value of observations_deblur_90bp is 64789.0535." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answers to C. Merging, joining, and concatenating" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "1. Store the first 5 rows of `df_seqs` as a new dataframe called `df_seqs_head`. Store the last 5 rows of `df_seqs` as a new dataframe called `df_seqs_tail`." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "df_seqs_head = df_seqs.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "df_seqs_tail = df_seqs.tail()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "2. Concatenate `df_seqs_head` and `df_seqs_tail` using the `concat()` function." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Make a new DataFrame called `df_phys` with the pH, temperature, and salinity columns (hint: you will need to know the exact column names; these are some of the last few columns). Make another new DataFrame called `df_empo` with the column `empo_3` (note: this will actually be a Series because it has only one column, but you can treat it like a DataFrame)." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "df_phys = df[['ph', 'temperature_deg_c', 'salinity_psu']]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "df_empo = df['empo_3']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "5. Merge `df_phys` with `df_seqs` using the `merge()` function with the indexes of both DataFrames to make a new DataFrame called `df_merged`." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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phtemperature_deg_csalinity_psusequences_split_librariesobservations_closed_ref_greengenesobservations_closed_ref_silvaobservations_open_ref_greengenesobservations_deblur_90bpobservations_deblur_100bpobservations_deblur_150bp
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phtemperature_deg_csalinity_psusequences_split_librariesobservations_closed_ref_greengenesobservations_closed_ref_silvaobservations_open_ref_greengenesobservations_deblur_90bpobservations_deblur_100bpobservations_deblur_150bpempo_3
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" + ], + "text/plain": [ + " ph temperature_deg_c salinity_psu \\\n", + "#SampleID \n", + "550.L1S116.s.1.sequence NaN NaN NaN \n", + "550.L1S119.s.1.sequence NaN NaN NaN \n", + "550.L1S164.s.1.sequence NaN NaN NaN \n", + "550.L1S194.s.1.sequence NaN NaN NaN \n", + "550.L1S20.s.1.sequence NaN NaN NaN \n", + "\n", + " sequences_split_libraries \\\n", + "#SampleID \n", + "550.L1S116.s.1.sequence 33383 \n", + "550.L1S119.s.1.sequence 40944 \n", + "550.L1S164.s.1.sequence 35636 \n", + "550.L1S194.s.1.sequence 46992 \n", + "550.L1S20.s.1.sequence 30131 \n", + "\n", + " observations_closed_ref_greengenes \\\n", + "#SampleID \n", + "550.L1S116.s.1.sequence 32153 \n", + "550.L1S119.s.1.sequence 39472 \n", + "550.L1S164.s.1.sequence 34550 \n", + "550.L1S194.s.1.sequence 43925 \n", + "550.L1S20.s.1.sequence 29179 \n", + "\n", + " observations_closed_ref_silva \\\n", + "#SampleID \n", + "550.L1S116.s.1.sequence 32453 \n", + "550.L1S119.s.1.sequence 39929 \n", + "550.L1S164.s.1.sequence 34666 \n", + "550.L1S194.s.1.sequence 43852 \n", + "550.L1S20.s.1.sequence 29553 \n", + "\n", + " observations_open_ref_greengenes \\\n", + "#SampleID \n", + "550.L1S116.s.1.sequence 33337 \n", + "550.L1S119.s.1.sequence 40870 \n", + "550.L1S164.s.1.sequence 35599 \n", + "550.L1S194.s.1.sequence 46875 \n", + "550.L1S20.s.1.sequence 30094 \n", + "\n", + " observations_deblur_90bp observations_deblur_100bp \\\n", + "#SampleID \n", + "550.L1S116.s.1.sequence 22567 22160 \n", + "550.L1S119.s.1.sequence 27871 27191 \n", + "550.L1S164.s.1.sequence 24134 23686 \n", + "550.L1S194.s.1.sequence 30041 29264 \n", + "550.L1S20.s.1.sequence 21132 20643 \n", + "\n", + " observations_deblur_150bp empo_3 \n", + "#SampleID \n", + "550.L1S116.s.1.sequence 1043 Animal distal gut \n", + "550.L1S119.s.1.sequence 1272 Animal distal gut \n", + "550.L1S164.s.1.sequence 1161 Animal distal gut \n", + "550.L1S194.s.1.sequence 1974 Animal distal gut \n", + "550.L1S20.s.1.sequence 603 Animal distal gut " + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_merged = df_merged.join(df_empo)\n", + "df_merged.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to D. Applying functions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "1. Use a list comprehension to add a new column to `df_merged` called `temperature_deg_f` which takes the values in `temperature_deg_c` and converts them to degrees Fahrenheit." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "df_merged['temperature_deg_f'] = [c * 1.8 + 32 for c in df_merged.temperature_deg_c]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "2. Create a function that changes a single numerical value from Celsius to Fahrenheit. Apply this function to the values in `temperature_deg_c` using `apply()` to create a new column called `temperature_deg_f_2`." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "def celsius_to_fahrenheit(c):\n", + " f = c * 1.8 + 32\n", + " return(f)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "df_merged['temperature_deg_f_2'] = df_merged['temperature_deg_c'].apply(celsius_to_fahrenheit)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To see the results, we can select the rows that have non-NA temperature values (not all samples have temperature data) and the columns containing the temperature data." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " empo_3 observations_closed_ref_greengenes \\\n", + "#SampleID \n", + "1240.1512BCDNA Water (saline) 657762 \n", + "1222.B5.5.14.06 Water (saline) 709386 \n", + "810.1230C2H2 Sediment (saline) 713117 \n", + "638.FRX7.120910.2 Water (non-saline) 593535 \n", + "1242.ME04Jun01EB1R2 Water (non-saline) 633858 \n", + "\n", + " observations_closed_ref_silva observations_deblur_100bp \\\n", + "#SampleID \n", + "1240.1512BCDNA 672649 545610 \n", + "1222.B5.5.14.06 713535 550169 \n", + "810.1230C2H2 717450 396263 \n", + "638.FRX7.120910.2 609665 358234 \n", + "1242.ME04Jun01EB1R2 635995 385579 \n", + "\n", + " observations_deblur_150bp observations_deblur_90bp \\\n", + "#SampleID \n", + "1240.1512BCDNA 234531 539745 \n", + "1222.B5.5.14.06 294681 555429 \n", + "810.1230C2H2 0 460415 \n", + "638.FRX7.120910.2 0 398992 \n", + "1242.ME04Jun01EB1R2 0 433043 \n", + "\n", + " observations_open_ref_greengenes ph salinity_psu \\\n", + "#SampleID \n", + "1240.1512BCDNA 814606 NaN 34.39 \n", + "1222.B5.5.14.06 744797 NaN 31.50 \n", + "810.1230C2H2 734793 NaN NaN \n", + "638.FRX7.120910.2 705982 NaN NaN \n", + "1242.ME04Jun01EB1R2 696427 NaN NaN \n", + "\n", + " sequences_split_libraries temperature_deg_c \\\n", + "#SampleID \n", + "1240.1512BCDNA 819180 10.37 \n", + "1222.B5.5.14.06 747257 9.30 \n", + "810.1230C2H2 737194 NaN \n", + "638.FRX7.120910.2 716093 NaN \n", + "1242.ME04Jun01EB1R2 699690 NaN \n", + "\n", + " temperature_deg_f temperature_deg_f_2 \n", + "#SampleID \n", + "1240.1512BCDNA 50.666 50.666 \n", + "1222.B5.5.14.06 48.740 48.740 \n", + "810.1230C2H2 NaN NaN \n", + "638.FRX7.120910.2 NaN NaN \n", + "1242.ME04Jun01EB1R2 NaN NaN " + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_merged.sort_index(axis=1, ascending=True, inplace=True)\n", + "df_merged.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.0" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 7e0282817c894bca88d02d7029f50e2c752f3526 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Sun, 18 Nov 2018 21:44:00 -0800 Subject: [PATCH 52/78] fixing question numbers --- assignments/answers/assignment3_answers.ipynb | 54 +++++++++---------- assignments/answers/assignment6_answers.ipynb | 36 ++++++------- 2 files changed, 45 insertions(+), 45 deletions(-) diff --git a/assignments/answers/assignment3_answers.ipynb b/assignments/answers/assignment3_answers.ipynb index c042e5c..827821b 100644 --- a/assignments/answers/assignment3_answers.ipynb +++ b/assignments/answers/assignment3_answers.ipynb @@ -15,7 +15,7 @@ "source": [ "#### Answer to A. Python basics, strings, printing (Shaw Exercises 1–10)\n", "\n", - "1. Take the file of Python code you generated in Exercise 1, called `ex1.py`, and run it on the command line. Copy the command and output from your terminal and paste it in a markdown cell in your Jupyter notebook. (Ex1)" + "Q1. Take the file of Python code you generated in Exercise 1, called `ex1.py`, and run it on the command line. Copy the command and output from your terminal and paste it in a markdown cell in your Jupyter notebook. (Ex1)" ] }, { @@ -75,7 +75,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "2. Print a sentence that contains a phrase in double quotes; print a sentence that contains an apostrophe. (Ex1)" + "Q2. Print a sentence that contains a phrase in double quotes; print a sentence that contains an apostrophe. (Ex1)" ] }, { @@ -110,7 +110,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "3. Deliberately enter five incorrect commands (in separate cells) and interpret the error messages. (Ex1)" + "Q3. Deliberately enter five incorrect commands (in separate cells) and interpret the error messages. (Ex1)" ] }, { @@ -261,7 +261,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "4. Add comments to your code in \\#2 and \\#3 explaining what is happening. (Ex2)" + "Q4. Add comments to your code in \\#2 and \\#3 explaining what is happening. (Ex2)" ] }, { @@ -275,7 +275,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "5. Write and evaluate five mathematical expressions. (Ex3)" + "Q5. Write and evaluate five mathematical expressions. (Ex3)" ] }, { @@ -444,7 +444,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "6. Assign values to three numeric and three string variables. (Ex4)" + "Q6. Assign values to three numeric and three string variables. (Ex4)" ] }, { @@ -472,7 +472,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "7. Print values of the six variables you assigned in \\#6. (Ex4–5)" + "Q7. Print values of the six variables you assigned in \\#6. (Ex4–5)" ] }, { @@ -505,7 +505,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "8. Print two strings in raw format (%r formatter) and two strings in general/string format (%s formatter) with formatting characters. (Ch6)" + "Q8. Print two strings in raw format (%r formatter) and two strings in general/string format (%s formatter) with formatting characters. (Ch6)" ] }, { @@ -538,7 +538,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "9. Concatenate two strings into a third string, then find the length of all three strings." + "Q9. Concatenate two strings into a third string, then find the length of all three strings." ] }, { @@ -575,7 +575,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "10. Print the three strings from \\#9 with a tab between the first and second and a newline between the second and third.\n" + "Q10. Print the three strings from \\#9 with a tab between the first and second and a newline between the second and third." ] }, { @@ -607,7 +607,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "11. Print the three strings from \\#9 with a stored formatter. (Ch7–8)" + "Q11. Print the three strings from \\#9 with a stored formatter. (Ch7–8)" ] }, { @@ -640,7 +640,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "12. Print a piece of text with five lines using both newline characters and a text block. (Ex9)" + "Q12. Print a piece of text with five lines using both newline characters and a text block. (Ex9)" ] }, { @@ -705,7 +705,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "13. Print a string containing a backslash, single-quote, double-qoute, newline, and tab. (Ex10)" + "Q13. Print a string containing a backslash, single-quote, double-qoute, newline, and tab. (Ex10)" ] }, { @@ -739,11 +739,11 @@ "source": [ "#### Answer to B. Taking input, reading and writing files, functions (Shaw Exercises 11-26) \n", "\n", - "1. Write some code, without using functions, that calculates the average of 5 numbers. Do it three different ways:\n", + "Q1. Write some code, without using functions, that calculates the average of 5 numbers. Do it three different ways:\n", "\n", - " - Write a .py file that takes input from the command line using `input()`. After the script works, paste the text of the file into your Jupyter notebook.\n", - " - Write a .py file that takes input from the command line using `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", - " - Enter code into two Jupyter notebooks cells: the first stores value as variables, and the second computes the average." + "- Write a .py file that takes input from the command line using `input()`. After the script works, paste the text of the file into your Jupyter notebook.\n", + "- Write a .py file that takes input from the command line using `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", + "- Enter code into two Jupyter notebooks cells: the first stores value as variables, and the second computes the average." ] }, { @@ -852,10 +852,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "2. Using functions, write some code that takes two strings, prints them with the first letter capitalized, prints them with all letters capitalized, prints the first and last letter of each, prints the length of each, and then prints the concatenation of the two strings. Do it two different ways:\n", + "Q2. Using functions, write some code that takes two strings, prints them with the first letter capitalized, prints them with all letters capitalized, prints the first and last letter of each, prints the length of each, and then prints the concatenation of the two strings. Do it two different ways:\n", "\n", - " - Write a .py file that uses `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", - " - In your Jupyter notebook, comment out the `argv` portions and hard code in the values of your strings. Then make sure the code runs the same." + "- Write a .py file that uses `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", + "- In your Jupyter notebook, comment out the `argv` portions and hard code in the values of your strings. Then make sure the code runs the same." ] }, { @@ -931,13 +931,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "3. Using a text editor, create a comma-separated values (CSV) file with 5 columns and 5 rows. Save it in the same directory as your Jupyter notebook. In the Jupyter notebook, read and print the file in different ways, and write new files, as follows:\n", + "Q3. Using a text editor, create a comma-separated values (CSV) file with 5 columns and 5 rows. Save it in the same directory as your Jupyter notebook. In the Jupyter notebook, read and print the file in different ways, and write new files, as follows:\n", "\n", - " - Read your CSV file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!).\n", - " - Do the same but use a `with` block and a different one of `read()`, `readline()`, or `readlines()`.\n", - " - Using either of the two above methods, then change one row of data, and write your data to a new CSV file.\n", - " - Read your CSV file using Pandas and display the resulting DataFrame.\n", - " - Save your DataFrame to a new file using Pandas." + "- Read your CSV file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!).\n", + "- Do the same but use a `with` block and a different one of `read()`, `readline()`, or `readlines()`.\n", + "- Using either of the two above methods, then change one row of data, and write your data to a new CSV file.\n", + "- Read your CSV file using Pandas and display the resulting DataFrame.\n", + "- Save your DataFrame to a new file using Pandas." ] }, { @@ -1185,7 +1185,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.0" + "version": "3.7.1" } }, "nbformat": 4, diff --git a/assignments/answers/assignment6_answers.ipynb b/assignments/answers/assignment6_answers.ipynb index 65b6110..37edb4e 100644 --- a/assignments/answers/assignment6_answers.ipynb +++ b/assignments/answers/assignment6_answers.ipynb @@ -51,7 +51,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "1. Import the tab-separated values file `emp_qiime_mapping_subset_2k.tsv` as a DataFrame called `df` with default data types, with the first row as column labels (columns) and the first column as row labels (indexes)." + "Q1. Import the tab-separated values file `emp_qiime_mapping_subset_2k.tsv` as a DataFrame called `df` with default data types, with the first row as column labels (columns) and the first column as row labels (indexes)." ] }, { @@ -67,7 +67,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "2. The indexes should be the sample IDs. How many samples are in this DataFrame? How many metadata columns?" + "Q2. The indexes should be the sample IDs. How many samples are in this DataFrame? How many metadata columns?" ] }, { @@ -96,7 +96,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "3. What are the minimum and maximum pH values in the dataset?" + "Q3. What are the minimum and maximum pH values in the dataset?" ] }, { @@ -123,7 +123,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "4. What are the average and standard deviation temperature values in the dataset?" + "Q4. What are the average and standard deviation temperature values in the dataset?" ] }, { @@ -480,7 +480,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "1. Make a new Series called `temp` with the temperature column as its own Series object. Remove NaN values (`np.nan`) from this Series. How many values are left?" + "Q1. Make a new Series called `temp` with the temperature column as its own Series object. Remove NaN values (`np.nan`) from this Series. How many values are left?" ] }, { @@ -539,7 +539,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "2. Make a new DataFrame called `df_seqs` from columns `sequences_split_libraries` through `observations_deblur_150bp` (column positions 17-23) of the existing DataFrame. What is the mean value of `column observations_deblur_90bp`?" + "Q2. Make a new DataFrame called `df_seqs` from columns `sequences_split_libraries` through `observations_deblur_150bp` (column positions 17-23) of the existing DataFrame. What is the mean value of `column observations_deblur_90bp`?" ] }, { @@ -913,7 +913,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "3. Save `df_seqs` as a csv file." + "Q3. Save `df_seqs` as a csv file." ] }, { @@ -946,7 +946,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "1. Store the first 5 rows of `df_seqs` as a new dataframe called `df_seqs_head`. Store the last 5 rows of `df_seqs` as a new dataframe called `df_seqs_tail`." + "Q1. Store the first 5 rows of `df_seqs` as a new dataframe called `df_seqs_head`. Store the last 5 rows of `df_seqs` as a new dataframe called `df_seqs_tail`." ] }, { @@ -973,7 +973,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "2. Concatenate `df_seqs_head` and `df_seqs_tail` using the `concat()` function." + "Q2. Concatenate `df_seqs_head` and `df_seqs_tail` using the `concat()` function." ] }, { @@ -1232,7 +1232,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "3. Append `df_seqs_tail` to `df_seqs_head` using the `append()` function." + "Q3. Append `df_seqs_tail` to `df_seqs_head` using the `append()` function." ] }, { @@ -1491,7 +1491,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "4. Make a new DataFrame called `df_phys` with the pH, temperature, and salinity columns (hint: you will need to know the exact column names; these are some of the last few columns). Make another new DataFrame called `df_empo` with the column `empo_3` (note: this will actually be a Series because it has only one column, but you can treat it like a DataFrame)." + "Q4. Make a new DataFrame called `df_phys` with the pH, temperature, and salinity columns (hint: you will need to know the exact column names; these are some of the last few columns). Make another new DataFrame called `df_empo` with the column `empo_3` (note: this will actually be a Series because it has only one column, but you can treat it like a DataFrame)." ] }, { @@ -1516,7 +1516,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "5. Merge `df_phys` with `df_seqs` using the `merge()` function with the indexes of both DataFrames to make a new DataFrame called `df_merged`." + "Q5. Merge `df_phys` with `df_seqs` using the `merge()` function with the indexes of both DataFrames to make a new DataFrame called `df_merged`." ] }, { @@ -1712,7 +1712,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "6. Join `df_merged` with `df_empo` using the `join()` function and store the result as `df_merged`." + "Q6. Join `df_merged` with `df_empo` using the `join()` function and store the result as `df_merged`." ] }, { @@ -1922,7 +1922,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "1. Use a list comprehension to add a new column to `df_merged` called `temperature_deg_f` which takes the values in `temperature_deg_c` and converts them to degrees Fahrenheit." + "Q1. Use a list comprehension to add a new column to `df_merged` called `temperature_deg_f` which takes the values in `temperature_deg_c` and converts them to degrees Fahrenheit." ] }, { @@ -1938,7 +1938,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "2. Create a function that changes a single numerical value from Celsius to Fahrenheit. Apply this function to the values in `temperature_deg_c` using `apply()` to create a new column called `temperature_deg_f_2`." + "Q2. Create a function that changes a single numerical value from Celsius to Fahrenheit. Apply this function to the values in `temperature_deg_c` using `apply()` to create a new column called `temperature_deg_f_2`." ] }, { @@ -2146,7 +2146,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "1. Sort the rows in `df_merged` by `sequences_split_libraries` values from high to low and store the result as `df_merged`. (Hint: you can use `inplace=True`.)" + "Q1. Sort the rows in `df_merged` by `sequences_split_libraries` values from high to low and store the result as `df_merged`. (Hint: you can use `inplace=True`.)" ] }, { @@ -2371,7 +2371,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "2. Sort the columns in `df_merged` by column name from A to Z and store the result as `df_merged`. (Hint: you can use `inplace=True`.)" + "Q2. Sort the columns in `df_merged` by column name from A to Z and store the result as `df_merged`. (Hint: you can use `inplace=True`.)" ] }, { @@ -2600,7 +2600,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.0" + "version": "3.7.1" } }, "nbformat": 4, From 35f2b4baba7383411bb6ad4f712f6634cc86cc4b Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Mon, 19 Nov 2018 13:26:49 -0800 Subject: [PATCH 53/78] updates after class --- lessons/lesson15.ipynb | 1978 ++++++++++++++++++---------------------- 1 file changed, 871 insertions(+), 1107 deletions(-) diff --git a/lessons/lesson15.ipynb b/lessons/lesson15.ipynb index 3a2562a..1c4f910 100644 --- a/lessons/lesson15.ipynb +++ b/lessons/lesson15.ipynb @@ -6,6 +6,28 @@ "source": [ "## Lesson 15 - Pandas Time Series\n", "\n", + "### Readings\n", + "\n", + "* McKinney: [Chapter 11. Time Series](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/time-series/timeseries_html)\n", + "\n", + "### Table of Contents\n", + "\n", + "* [Examples](#examples)\n", + "* [Timeseries classes](#classes)\n", + "* [Timestamps vs. Periods (time spans)](#timestamps-vs-periods)\n", + "* [Converting to Timestamps](#coverting-to-timestamps)\n", + "* [Generating ranges of timestamps](#ranges-of-timestamps)\n", + "* [DatetimeIndex](#datetimeindex)\n", + "* [DateOffset objects](#dateoffset-objects)\n", + "* [Time series-related instance methods](#instance-methods)\n", + "* [Time span representation](#time-spans)\n", + "* [Time zone handling](#time-zones)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ "*Adapted from Pandas documentation (esoteric/financial applications left out).*\n", "\n", "In working with time series data, we will frequently seek to:\n", @@ -37,7 +59,7 @@ "outputs": [], "source": [ "# set max row and random seed\n", - "pd.set_option(\"display.max_rows\", 20)\n", + "pd.set_option(\"display.max_rows\", 10)\n", "np.random.seed(12)" ] }, @@ -45,6 +67,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "## Examples\n", "\n", "Create a range of dates:" @@ -199,17 +223,10 @@ { "cell_type": "code", "execution_count": 10, - "metadata": {}, + "metadata": { + "scrolled": true + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.6/site-packages/ipykernel_launcher.py:1: FutureWarning: how in .resample() is deprecated\n", - "the new syntax is .resample(...).mean()\n", - " \"\"\"Entry point for launching an IPython kernel.\n" - ] - }, { "data": { "text/plain": [ @@ -225,23 +242,31 @@ } ], "source": [ - "ts.resample('D', how='mean')" + "ts.resample('D').mean()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { - "scrolled": true + "scrolled": false }, "outputs": [ { "data": { "text/plain": [ - "2011-01-01 0.106866\n", - "2011-01-02 -0.449748\n", - "2011-01-03 0.006654\n", - "Freq: D, dtype: float64" + "2011-01-01 00:00:00 0.472986\n", + "2011-01-01 01:00:00 -0.681426\n", + "2011-01-01 02:00:00 0.242439\n", + "2011-01-01 03:00:00 -1.700736\n", + "2011-01-01 04:00:00 0.753143\n", + " ... \n", + "2011-01-03 19:00:00 1.029211\n", + "2011-01-03 20:00:00 -1.166259\n", + "2011-01-03 21:00:00 -1.009562\n", + "2011-01-03 22:00:00 -0.105268\n", + "2011-01-03 23:00:00 0.512022\n", + "Length: 72, dtype: float64" ] }, "execution_count": 11, @@ -250,41 +275,25 @@ } ], "source": [ - "ts.resample('D').mean()" + "ts.resample('T').mean().dropna()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Find difference between dates:" ] }, { "cell_type": "code", "execution_count": 12, - "metadata": { - "scrolled": false - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "2011-01-01 00:00:00 0.472986\n", - "2011-01-01 01:00:00 -0.681426\n", - "2011-01-01 02:00:00 0.242439\n", - "2011-01-01 03:00:00 -1.700736\n", - "2011-01-01 04:00:00 0.753143\n", - "2011-01-01 05:00:00 -1.534721\n", - "2011-01-01 06:00:00 0.005127\n", - "2011-01-01 07:00:00 -0.120228\n", - "2011-01-01 08:00:00 -0.806982\n", - "2011-01-01 09:00:00 2.871819\n", - " ... \n", - "2011-01-03 14:00:00 -0.083449\n", - "2011-01-03 15:00:00 0.677806\n", - "2011-01-03 16:00:00 0.556060\n", - "2011-01-03 17:00:00 0.222719\n", - "2011-01-03 18:00:00 -1.528985\n", - "2011-01-03 19:00:00 1.029211\n", - "2011-01-03 20:00:00 -1.166259\n", - "2011-01-03 21:00:00 -1.009562\n", - "2011-01-03 22:00:00 -0.105268\n", - "2011-01-03 23:00:00 0.512022\n", - "Length: 72, dtype: float64" + "Timedelta('322 days 00:00:00')" ] }, "execution_count": 12, @@ -293,14 +302,36 @@ } ], "source": [ - "ts.resample('T').mean().dropna()" + "pd.Timestamp('11/19/18') - pd.Timestamp('1/1/18')" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "322" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.Period('11/19/18') - pd.Period('1/1/18')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Overview\n", + "\n", + "\n", + "## Timeseries classes\n", "\n", "The following table shows the type of time-related classes pandas can handle and how to create them:\n", "\n", @@ -316,6 +347,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "## Timestamps vs. Periods (time spans)\n", "\n", "Time-stamped data is the most basic type of timeseries data that associates values with points in time. For pandas objects it means using the points in time." @@ -323,7 +356,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -332,7 +365,7 @@ "datetime.datetime(2012, 5, 1, 0, 0)" ] }, - "execution_count": 13, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -343,7 +376,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": { "scrolled": true }, @@ -354,7 +387,7 @@ "Timestamp('2012-05-01 00:00:00')" ] }, - "execution_count": 14, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -365,7 +398,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -374,7 +407,7 @@ "Timestamp('2012-05-01 00:00:00')" ] }, - "execution_count": 15, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -394,7 +427,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -403,7 +436,7 @@ "Period('2011-01', 'M')" ] }, - "execution_count": 16, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -414,7 +447,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -423,7 +456,7 @@ "Period('2012-05-01', 'D')" ] }, - "execution_count": 17, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -441,7 +474,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -450,7 +483,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -459,7 +492,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -471,7 +504,7 @@ "dtype: float64" ] }, - "execution_count": 20, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -482,7 +515,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -491,7 +524,7 @@ "DatetimeIndex(['2012-05-01', '2012-05-02', '2012-05-03'], dtype='datetime64[ns]', freq=None)" ] }, - "execution_count": 21, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -502,7 +535,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -511,7 +544,7 @@ "pandas.core.indexes.datetimes.DatetimeIndex" ] }, - "execution_count": 22, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -522,7 +555,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -531,7 +564,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -540,7 +573,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -552,7 +585,7 @@ "Freq: M, dtype: float64" ] }, - "execution_count": 25, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -563,7 +596,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "metadata": { "scrolled": true }, @@ -574,7 +607,7 @@ "PeriodIndex(['2012-01', '2012-02', '2012-03'], dtype='period[M]', freq='M')" ] }, - "execution_count": 26, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -585,7 +618,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -594,7 +627,7 @@ "pandas.core.indexes.period.PeriodIndex" ] }, - "execution_count": 27, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -614,6 +647,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "## Converting to Timestamps\n", "\n", "To convert a Series or list-like object of date-like objects e.g. strings, epochs, or a mixture, you can use the to_datetime function. When passed a Series, this returns a Series (with the same index), while a list-like is converted to a DatetimeIndex:" @@ -621,7 +656,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -633,7 +668,7 @@ "dtype: datetime64[ns]" ] }, - "execution_count": 28, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -644,7 +679,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -653,7 +688,7 @@ "DatetimeIndex(['2005-11-23', '2010-12-31'], dtype='datetime64[ns]', freq=None)" ] }, - "execution_count": 29, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -666,36 +701,34 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "If you use dates which start with the day first (i.e. European style), you can pass the dayfirst flag.\n", - "\n", - "**Warning:** You see in the second example below that dayfirst isn’t strict, so if a date can’t be parsed with the day being first it will be parsed as if dayfirst were False." + "If you use dates which start with the day first (i.e. European style), you can pass the dayfirst flag:" ] }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "metadata": { - "scrolled": true + "scrolled": false }, "outputs": [ { "data": { "text/plain": [ - "DatetimeIndex(['2012-01-04 10:00:00'], dtype='datetime64[ns]', freq=None)" + "DatetimeIndex(['2012-04-01'], dtype='datetime64[ns]', freq=None)" ] }, - "execution_count": 30, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pd.to_datetime(['04-01-2012 10:00'], dayfirst=True)" + "pd.to_datetime(['04-01-2012']) # default behavior is dayfirst=False" ] }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 32, "metadata": { "scrolled": false }, @@ -703,59 +736,120 @@ { "data": { "text/plain": [ - "DatetimeIndex(['2012-04-01 10:00:00'], dtype='datetime64[ns]', freq=None)" + "DatetimeIndex(['2012-04-01'], dtype='datetime64[ns]', freq=None)" ] }, - "execution_count": 31, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pd.to_datetime(['04-01-2012 10:00'], dayfirst=False)" + "pd.to_datetime(['04-01-2012'], dayfirst=False)" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 33, "metadata": { - "scrolled": false + "scrolled": true }, "outputs": [ { "data": { "text/plain": [ - "DatetimeIndex(['2012-04-01 10:00:00'], dtype='datetime64[ns]', freq=None)" + "DatetimeIndex(['2012-01-04'], dtype='datetime64[ns]', freq=None)" ] }, - "execution_count": 32, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# default behavior is dayfirst=False\n", - "pd.to_datetime(['04-01-2012 10:00'])" + "pd.to_datetime(['04-01-2012'], dayfirst=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Warning:** If a date can’t be parsed with the day being first it will be parsed as if dayfirst were False:" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "DatetimeIndex(['2012-01-14', '2012-01-14'], dtype='datetime64[ns]', freq=None)" + "DatetimeIndex(['2012-04-13'], dtype='datetime64[ns]', freq=None)" ] }, - "execution_count": 33, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.to_datetime(['04-13-2012'], dayfirst=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Warning:** Even with a list of dates that are clearly European (day first), each date is processed separately. You must specify `dayfirst=True` (or a format argument) to get the desired behaviour:" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "DatetimeIndex(['2018-10-01', '2018-11-01', '2018-12-01', '2018-01-13',\n", + " '2018-01-14'],\n", + " dtype='datetime64[ns]', freq=None)" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.to_datetime(['10/1/18', '11/1/18', '12/1/18', '13/1/18', '14/1/18'])" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "DatetimeIndex(['2018-01-10', '2018-01-11', '2018-01-12', '2018-01-13',\n", + " '2018-01-14'],\n", + " dtype='datetime64[ns]', freq=None)" + ] + }, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pd.to_datetime(['14-01-2012', '01-14-2012'], dayfirst=True)" + "pd.to_datetime(['10/1/18', '11/1/18', '12/1/18', '13/1/18', '14/1/18'], dayfirst=True)" ] }, { @@ -771,7 +865,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -780,19 +874,18 @@ "Timestamp('2010-12-11 00:00:00')" ] }, - "execution_count": 34, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#pd.to_datetime('11/12/2010', format='%m/%d/%Y')\n", "pd.to_datetime('11/12/2010', format='%d/%m/%Y')" ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -801,7 +894,27 @@ "Timestamp('2010-11-12 00:00:00')" ] }, - "execution_count": 35, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.to_datetime('11/12/2010', format='%m/%d/%Y')" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Timestamp('2010-11-12 00:00:00')" + ] + }, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -812,7 +925,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 40, "metadata": { "scrolled": false }, @@ -823,7 +936,7 @@ "Timestamp('2010-11-12 00:00:00')" ] }, - "execution_count": 36, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -861,7 +974,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -870,7 +983,7 @@ "array(['2009/07/31', 'asd'], dtype=object)" ] }, - "execution_count": 37, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -882,7 +995,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -891,7 +1004,7 @@ "DatetimeIndex(['2009-07-31', 'NaT'], dtype='datetime64[ns]', freq=None)" ] }, - "execution_count": 38, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -914,7 +1027,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -923,7 +1036,7 @@ "Timestamp('1970-01-01 00:00:00')" ] }, - "execution_count": 39, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -934,7 +1047,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -943,7 +1056,7 @@ "Timestamp('1970-01-01 00:00:00.000000001')" ] }, - "execution_count": 40, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -954,7 +1067,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -963,7 +1076,7 @@ "Timestamp('1970-01-01 00:00:03')" ] }, - "execution_count": 41, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -974,7 +1087,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 46, "metadata": { "scrolled": true }, @@ -988,7 +1101,7 @@ " dtype='datetime64[ns]', freq=None)" ] }, - "execution_count": 42, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -999,7 +1112,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -1011,7 +1124,7 @@ " dtype='datetime64[ns]', freq=None)" ] }, - "execution_count": 43, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -1031,6 +1144,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "## Generating ranges of timestamps\n", "\n", "To generate an index with time stamps, you can use either the DatetimeIndex or Index constructor and pass in a list of datetime objects" @@ -1045,7 +1160,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 48, "metadata": {}, "outputs": [], "source": [ @@ -1054,7 +1169,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ @@ -1063,7 +1178,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -1072,7 +1187,7 @@ "DatetimeIndex(['2012-05-01', '2012-05-02', '2012-05-03'], dtype='datetime64[ns]', freq=None)" ] }, - "execution_count": 46, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -1083,7 +1198,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 51, "metadata": {}, "outputs": [], "source": [ @@ -1092,7 +1207,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -1101,7 +1216,7 @@ "DatetimeIndex(['2012-05-01', '2012-05-02', '2012-05-03'], dtype='datetime64[ns]', freq=None)" ] }, - "execution_count": 48, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -1114,7 +1229,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### The quick way - data_range by periods or start-end" + "### The quick way - date_range by periods or start-end" ] }, { @@ -1135,7 +1250,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -1151,7 +1266,7 @@ " dtype='datetime64[ns]', length=1000, freq='M')" ] }, - "execution_count": 49, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -1164,7 +1279,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 54, "metadata": { "scrolled": true }, @@ -1182,7 +1297,7 @@ " dtype='datetime64[ns]', length=1000, freq='B')" ] }, - "execution_count": 50, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -1195,7 +1310,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 55, "metadata": { "scrolled": true }, @@ -1213,7 +1328,7 @@ " dtype='datetime64[ns]', length=1000, freq='D')" ] }, - "execution_count": 51, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -1226,7 +1341,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -1242,7 +1357,7 @@ " dtype='datetime64[ns]', length=1000, freq='B')" ] }, - "execution_count": 52, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -1281,7 +1396,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 57, "metadata": {}, "outputs": [], "source": [ @@ -1291,7 +1406,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -1307,7 +1422,7 @@ " dtype='datetime64[ns]', length=366, freq='D')" ] }, - "execution_count": 54, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -1319,7 +1434,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 59, "metadata": {}, "outputs": [ { @@ -1342,7 +1457,7 @@ " dtype='datetime64[ns]', freq='W-SUN')" ] }, - "execution_count": 55, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } @@ -1353,7 +1468,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -1369,7 +1484,7 @@ " dtype='datetime64[ns]', length=260, freq='B')" ] }, - "execution_count": 56, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } @@ -1380,7 +1495,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -1392,7 +1507,7 @@ " dtype='datetime64[ns]', freq='BM')" ] }, - "execution_count": 57, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } @@ -1403,7 +1518,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -1417,7 +1532,7 @@ " dtype='datetime64[ns]', freq='B')" ] }, - "execution_count": 58, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -1428,7 +1543,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 63, "metadata": {}, "outputs": [ { @@ -1442,7 +1557,7 @@ " dtype='datetime64[ns]', freq='B')" ] }, - "execution_count": 59, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } @@ -1455,6 +1570,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "## DatetimeIndex\n", "\n", "One of the main uses for DatetimeIndex is as an index for Pandas objects. The DatetimeIndex class contains many timeseries related optimizations:\n", @@ -1476,7 +1593,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 64, "metadata": {}, "outputs": [], "source": [ @@ -1486,7 +1603,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 65, "metadata": {}, "outputs": [], "source": [ @@ -1495,7 +1612,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 66, "metadata": {}, "outputs": [], "source": [ @@ -1504,7 +1621,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -1516,7 +1633,7 @@ " dtype='datetime64[ns]', freq='BM')" ] }, - "execution_count": 63, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -1527,7 +1644,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 68, "metadata": {}, "outputs": [ { @@ -1538,7 +1655,7 @@ " dtype='datetime64[ns]', freq='BM')" ] }, - "execution_count": 64, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } @@ -1549,7 +1666,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 69, "metadata": {}, "outputs": [ { @@ -1560,7 +1677,7 @@ " dtype='datetime64[ns]', freq='2BM')" ] }, - "execution_count": 65, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } @@ -1585,16 +1702,31 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 70, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "a 0.0\n", + "b 0.1\n", + "c 0.2\n", + "dtype: float64" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "x = pd.Series([0.0, 0.1, 0.2], index=['a', 'b', 'c'])" + "x = pd.Series([0.0, 0.1, 0.2], index=['a', 'b', 'c'])\n", + "x" ] }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 71, "metadata": {}, "outputs": [ { @@ -1605,7 +1737,7 @@ "dtype: float64" ] }, - "execution_count": 67, + "execution_count": 71, "metadata": {}, "output_type": "execute_result" } @@ -1616,7 +1748,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 72, "metadata": {}, "outputs": [ { @@ -1628,7 +1760,7 @@ "dtype: float64" ] }, - "execution_count": 68, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } @@ -1655,7 +1787,38 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2011-01-31 -0.571817\n", + "2011-02-28 -0.603299\n", + "2011-03-31 -1.339389\n", + "2011-04-29 -1.689653\n", + "2011-05-31 -0.199327\n", + " ... \n", + "2011-08-31 -1.001002\n", + "2011-09-30 -2.091691\n", + "2011-10-31 0.146560\n", + "2011-11-30 -0.466351\n", + "2011-12-30 0.356223\n", + "Freq: BM, Length: 12, dtype: float64" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ts" + ] + }, + { + "cell_type": "code", + "execution_count": 74, "metadata": {}, "outputs": [ { @@ -1664,7 +1827,7 @@ "-0.5718167302823739" ] }, - "execution_count": 69, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -1675,7 +1838,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 75, "metadata": {}, "outputs": [ { @@ -1685,7 +1848,7 @@ "Freq: BM, dtype: float64" ] }, - "execution_count": 70, + "execution_count": 75, "metadata": {}, "output_type": "execute_result" } @@ -1696,7 +1859,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -1708,13 +1871,13 @@ "Freq: BM, dtype: float64" ] }, - "execution_count": 71, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "ts['10/31/2011':'12/31/2011']" + "ts['10/1/2011':'12/31/2011']" ] }, { @@ -1726,7 +1889,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 77, "metadata": {}, "outputs": [ { @@ -1737,17 +1900,16 @@ "2011-03-31 -1.339389\n", "2011-04-29 -1.689653\n", "2011-05-31 -0.199327\n", - "2011-06-30 0.257773\n", - "2011-07-29 1.828821\n", + " ... \n", "2011-08-31 -1.001002\n", "2011-09-30 -2.091691\n", "2011-10-31 0.146560\n", "2011-11-30 -0.466351\n", "2011-12-30 0.356223\n", - "Freq: BM, dtype: float64" + "Freq: BM, Length: 12, dtype: float64" ] }, - "execution_count": 72, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" } @@ -1758,7 +1920,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 78, "metadata": {}, "outputs": [ { @@ -1768,7 +1930,7 @@ "Freq: BM, dtype: float64" ] }, - "execution_count": 73, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } @@ -1777,6 +1939,106 @@ "ts['2011-6']" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If we only want timestamps that match a certain day of the month (e.g., 31):" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Timestamp('2011-10-31 00:00:00')" + ] + }, + "execution_count": 79, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x = pd.Timestamp('10/31/2011')\n", + "x" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "31" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x.day" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "2011-01-31 -0.571817\n", + "2011-03-31 -1.339389\n", + "2011-05-31 -0.199327\n", + "2011-08-31 -1.001002\n", + "2011-10-31 0.146560\n", + "dtype: float64" + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ts[[(x.day == 31) for x in ts.index]]" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2011-01-31 -0.571817\n", + "2011-03-31 -1.339389\n", + "2011-05-31 -0.199327\n", + "2011-08-31 -1.001002\n", + "2011-10-31 0.146560\n", + "dtype: float64" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ts[ts.index.day == 31]" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1786,7 +2048,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 83, "metadata": {}, "outputs": [], "source": [ @@ -1796,7 +2058,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 84, "metadata": {}, "outputs": [ { @@ -1805,7 +2067,7 @@ "(100000, 1)" ] }, - "execution_count": 75, + "execution_count": 84, "metadata": {}, "output_type": "execute_result" } @@ -1816,7 +2078,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 85, "metadata": { "scrolled": false }, @@ -1867,50 +2129,10 @@ " 0.272391\n", " \n", " \n", - " 2013-01-01 00:05:00\n", - " -0.969176\n", - " \n", - " \n", - " 2013-01-01 00:06:00\n", - " 0.871968\n", - " \n", - " \n", - " 2013-01-01 00:07:00\n", - " -1.446359\n", - " \n", - " \n", - " 2013-01-01 00:08:00\n", - " -0.536481\n", - " \n", - " \n", - " 2013-01-01 00:09:00\n", - " 0.197921\n", - " \n", - " \n", " ...\n", " ...\n", " \n", " \n", - " 2013-03-11 10:30:00\n", - " 1.492484\n", - " \n", - " \n", - " 2013-03-11 10:31:00\n", - " -0.166896\n", - " \n", - " \n", - " 2013-03-11 10:32:00\n", - " -1.413759\n", - " \n", - " \n", - " 2013-03-11 10:33:00\n", - " 0.488315\n", - " \n", - " \n", - " 2013-03-11 10:34:00\n", - " 0.762027\n", - " \n", - " \n", " 2013-03-11 10:35:00\n", " -0.454453\n", " \n", @@ -1942,17 +2164,7 @@ "2013-01-01 00:02:00 -0.688879\n", "2013-01-01 00:03:00 0.802630\n", "2013-01-01 00:04:00 0.272391\n", - "2013-01-01 00:05:00 -0.969176\n", - "2013-01-01 00:06:00 0.871968\n", - "2013-01-01 00:07:00 -1.446359\n", - "2013-01-01 00:08:00 -0.536481\n", - "2013-01-01 00:09:00 0.197921\n", "... ...\n", - "2013-03-11 10:30:00 1.492484\n", - "2013-03-11 10:31:00 -0.166896\n", - "2013-03-11 10:32:00 -1.413759\n", - "2013-03-11 10:33:00 0.488315\n", - "2013-03-11 10:34:00 0.762027\n", "2013-03-11 10:35:00 -0.454453\n", "2013-03-11 10:36:00 -0.448193\n", "2013-03-11 10:37:00 -0.393987\n", @@ -1962,7 +2174,7 @@ "[100000 rows x 1 columns]" ] }, - "execution_count": 76, + "execution_count": 85, "metadata": {}, "output_type": "execute_result" } @@ -1973,7 +2185,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 86, "metadata": {}, "outputs": [ { @@ -2022,50 +2234,10 @@ " 0.272391\n", " \n", " \n", - " 2013-01-01 00:05:00\n", - " -0.969176\n", - " \n", - " \n", - " 2013-01-01 00:06:00\n", - " 0.871968\n", - " \n", - " \n", - " 2013-01-01 00:07:00\n", - " -1.446359\n", - " \n", - " \n", - " 2013-01-01 00:08:00\n", - " -0.536481\n", - " \n", - " \n", - " 2013-01-01 00:09:00\n", - " 0.197921\n", - " \n", - " \n", " ...\n", " ...\n", " \n", " \n", - " 2013-03-11 10:30:00\n", - " 1.492484\n", - " \n", - " \n", - " 2013-03-11 10:31:00\n", - " -0.166896\n", - " \n", - " \n", - " 2013-03-11 10:32:00\n", - " -1.413759\n", - " \n", - " \n", - " 2013-03-11 10:33:00\n", - " 0.488315\n", - " \n", - " \n", - " 2013-03-11 10:34:00\n", - " 0.762027\n", - " \n", - " \n", " 2013-03-11 10:35:00\n", " -0.454453\n", " \n", @@ -2097,17 +2269,7 @@ "2013-01-01 00:02:00 -0.688879\n", "2013-01-01 00:03:00 0.802630\n", "2013-01-01 00:04:00 0.272391\n", - "2013-01-01 00:05:00 -0.969176\n", - "2013-01-01 00:06:00 0.871968\n", - "2013-01-01 00:07:00 -1.446359\n", - "2013-01-01 00:08:00 -0.536481\n", - "2013-01-01 00:09:00 0.197921\n", "... ...\n", - "2013-03-11 10:30:00 1.492484\n", - "2013-03-11 10:31:00 -0.166896\n", - "2013-03-11 10:32:00 -1.413759\n", - "2013-03-11 10:33:00 0.488315\n", - "2013-03-11 10:34:00 0.762027\n", "2013-03-11 10:35:00 -0.454453\n", "2013-03-11 10:36:00 -0.448193\n", "2013-03-11 10:37:00 -0.393987\n", @@ -2117,7 +2279,7 @@ "[100000 rows x 1 columns]" ] }, - "execution_count": 77, + "execution_count": 86, "metadata": {}, "output_type": "execute_result" } @@ -2135,7 +2297,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 87, "metadata": {}, "outputs": [ { @@ -2165,67 +2327,27 @@ " \n", " \n", " 2013-01-01 00:00:00\n", - " -0.397880\n", - " \n", - " \n", - " 2013-01-01 00:01:00\n", - " -1.259224\n", - " \n", - " \n", - " 2013-01-01 00:02:00\n", - " -0.688879\n", - " \n", - " \n", - " 2013-01-01 00:03:00\n", - " 0.802630\n", - " \n", - " \n", - " 2013-01-01 00:04:00\n", - " 0.272391\n", - " \n", - " \n", - " 2013-01-01 00:05:00\n", - " -0.969176\n", - " \n", - " \n", - " 2013-01-01 00:06:00\n", - " 0.871968\n", - " \n", - " \n", - " 2013-01-01 00:07:00\n", - " -1.446359\n", - " \n", - " \n", - " 2013-01-01 00:08:00\n", - " -0.536481\n", - " \n", - " \n", - " 2013-01-01 00:09:00\n", - " 0.197921\n", - " \n", - " \n", - " ...\n", - " ...\n", + " -0.397880\n", " \n", " \n", - " 2013-02-28 23:50:00\n", - " 1.362115\n", + " 2013-01-01 00:01:00\n", + " -1.259224\n", " \n", " \n", - " 2013-02-28 23:51:00\n", - " -0.316189\n", + " 2013-01-01 00:02:00\n", + " -0.688879\n", " \n", " \n", - " 2013-02-28 23:52:00\n", - " -0.873736\n", + " 2013-01-01 00:03:00\n", + " 0.802630\n", " \n", " \n", - " 2013-02-28 23:53:00\n", - " -0.367712\n", + " 2013-01-01 00:04:00\n", + " 0.272391\n", " \n", " \n", - " 2013-02-28 23:54:00\n", - " 1.089863\n", + " ...\n", + " ...\n", " \n", " \n", " 2013-02-28 23:55:00\n", @@ -2259,17 +2381,7 @@ "2013-01-01 00:02:00 -0.688879\n", "2013-01-01 00:03:00 0.802630\n", "2013-01-01 00:04:00 0.272391\n", - "2013-01-01 00:05:00 -0.969176\n", - "2013-01-01 00:06:00 0.871968\n", - "2013-01-01 00:07:00 -1.446359\n", - "2013-01-01 00:08:00 -0.536481\n", - "2013-01-01 00:09:00 0.197921\n", "... ...\n", - "2013-02-28 23:50:00 1.362115\n", - "2013-02-28 23:51:00 -0.316189\n", - "2013-02-28 23:52:00 -0.873736\n", - "2013-02-28 23:53:00 -0.367712\n", - "2013-02-28 23:54:00 1.089863\n", "2013-02-28 23:55:00 -0.722004\n", "2013-02-28 23:56:00 -0.177387\n", "2013-02-28 23:57:00 -0.783767\n", @@ -2279,7 +2391,7 @@ "[84960 rows x 1 columns]" ] }, - "execution_count": 78, + "execution_count": 87, "metadata": {}, "output_type": "execute_result" } @@ -2297,7 +2409,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 88, "metadata": {}, "outputs": [ { @@ -2346,50 +2458,10 @@ " 0.272391\n", " \n", " \n", - " 2013-01-01 00:05:00\n", - " -0.969176\n", - " \n", - " \n", - " 2013-01-01 00:06:00\n", - " 0.871968\n", - " \n", - " \n", - " 2013-01-01 00:07:00\n", - " -1.446359\n", - " \n", - " \n", - " 2013-01-01 00:08:00\n", - " -0.536481\n", - " \n", - " \n", - " 2013-01-01 00:09:00\n", - " 0.197921\n", - " \n", - " \n", " ...\n", " ...\n", " \n", " \n", - " 2013-02-28 23:50:00\n", - " 1.362115\n", - " \n", - " \n", - " 2013-02-28 23:51:00\n", - " -0.316189\n", - " \n", - " \n", - " 2013-02-28 23:52:00\n", - " -0.873736\n", - " \n", - " \n", - " 2013-02-28 23:53:00\n", - " -0.367712\n", - " \n", - " \n", - " 2013-02-28 23:54:00\n", - " 1.089863\n", - " \n", - " \n", " 2013-02-28 23:55:00\n", " -0.722004\n", " \n", @@ -2421,17 +2493,7 @@ "2013-01-01 00:02:00 -0.688879\n", "2013-01-01 00:03:00 0.802630\n", "2013-01-01 00:04:00 0.272391\n", - "2013-01-01 00:05:00 -0.969176\n", - "2013-01-01 00:06:00 0.871968\n", - "2013-01-01 00:07:00 -1.446359\n", - "2013-01-01 00:08:00 -0.536481\n", - "2013-01-01 00:09:00 0.197921\n", "... ...\n", - "2013-02-28 23:50:00 1.362115\n", - "2013-02-28 23:51:00 -0.316189\n", - "2013-02-28 23:52:00 -0.873736\n", - "2013-02-28 23:53:00 -0.367712\n", - "2013-02-28 23:54:00 1.089863\n", "2013-02-28 23:55:00 -0.722004\n", "2013-02-28 23:56:00 -0.177387\n", "2013-02-28 23:57:00 -0.783767\n", @@ -2441,7 +2503,7 @@ "[84960 rows x 1 columns]" ] }, - "execution_count": 79, + "execution_count": 88, "metadata": {}, "output_type": "execute_result" } @@ -2459,7 +2521,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 89, "metadata": {}, "outputs": [ { @@ -2508,50 +2570,10 @@ " 0.272391\n", " \n", " \n", - " 2013-01-01 00:05:00\n", - " -0.969176\n", - " \n", - " \n", - " 2013-01-01 00:06:00\n", - " 0.871968\n", - " \n", - " \n", - " 2013-01-01 00:07:00\n", - " -1.446359\n", - " \n", - " \n", - " 2013-01-01 00:08:00\n", - " -0.536481\n", - " \n", - " \n", - " 2013-01-01 00:09:00\n", - " 0.197921\n", - " \n", - " \n", " ...\n", " ...\n", " \n", " \n", - " 2013-02-27 23:51:00\n", - " 1.025047\n", - " \n", - " \n", - " 2013-02-27 23:52:00\n", - " 0.155222\n", - " \n", - " \n", - " 2013-02-27 23:53:00\n", - " 0.155307\n", - " \n", - " \n", - " 2013-02-27 23:54:00\n", - " 1.769924\n", - " \n", - " \n", - " 2013-02-27 23:55:00\n", - " -0.941846\n", - " \n", - " \n", " 2013-02-27 23:56:00\n", " 0.702629\n", " \n", @@ -2583,17 +2605,7 @@ "2013-01-01 00:02:00 -0.688879\n", "2013-01-01 00:03:00 0.802630\n", "2013-01-01 00:04:00 0.272391\n", - "2013-01-01 00:05:00 -0.969176\n", - "2013-01-01 00:06:00 0.871968\n", - "2013-01-01 00:07:00 -1.446359\n", - "2013-01-01 00:08:00 -0.536481\n", - "2013-01-01 00:09:00 0.197921\n", "... ...\n", - "2013-02-27 23:51:00 1.025047\n", - "2013-02-27 23:52:00 0.155222\n", - "2013-02-27 23:53:00 0.155307\n", - "2013-02-27 23:54:00 1.769924\n", - "2013-02-27 23:55:00 -0.941846\n", "2013-02-27 23:56:00 0.702629\n", "2013-02-27 23:57:00 -1.015303\n", "2013-02-27 23:58:00 -0.433161\n", @@ -2603,7 +2615,7 @@ "[83521 rows x 1 columns]" ] }, - "execution_count": 80, + "execution_count": 89, "metadata": {}, "output_type": "execute_result" } @@ -2621,7 +2633,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 90, "metadata": {}, "outputs": [ { @@ -2670,50 +2682,10 @@ " 1.050672\n", " \n", " \n", - " 2013-01-15 00:05:00\n", - " 0.233499\n", - " \n", - " \n", - " 2013-01-15 00:06:00\n", - " 1.031788\n", - " \n", - " \n", - " 2013-01-15 00:07:00\n", - " 1.366767\n", - " \n", - " \n", - " 2013-01-15 00:08:00\n", - " -0.271464\n", - " \n", - " \n", - " 2013-01-15 00:09:00\n", - " 1.324011\n", - " \n", - " \n", " ...\n", " ...\n", " \n", " \n", - " 2013-01-15 12:21:00\n", - " -0.238628\n", - " \n", - " \n", - " 2013-01-15 12:22:00\n", - " 0.800320\n", - " \n", - " \n", - " 2013-01-15 12:23:00\n", - " 0.124674\n", - " \n", - " \n", - " 2013-01-15 12:24:00\n", - " -1.190102\n", - " \n", - " \n", - " 2013-01-15 12:25:00\n", - " 0.703559\n", - " \n", - " \n", " 2013-01-15 12:26:00\n", " 0.534819\n", " \n", @@ -2745,17 +2717,7 @@ "2013-01-15 00:02:00 -0.310935\n", "2013-01-15 00:03:00 1.069495\n", "2013-01-15 00:04:00 1.050672\n", - "2013-01-15 00:05:00 0.233499\n", - "2013-01-15 00:06:00 1.031788\n", - "2013-01-15 00:07:00 1.366767\n", - "2013-01-15 00:08:00 -0.271464\n", - "2013-01-15 00:09:00 1.324011\n", "... ...\n", - "2013-01-15 12:21:00 -0.238628\n", - "2013-01-15 12:22:00 0.800320\n", - "2013-01-15 12:23:00 0.124674\n", - "2013-01-15 12:24:00 -1.190102\n", - "2013-01-15 12:25:00 0.703559\n", "2013-01-15 12:26:00 0.534819\n", "2013-01-15 12:27:00 0.648445\n", "2013-01-15 12:28:00 0.505925\n", @@ -2765,7 +2727,7 @@ "[751 rows x 1 columns]" ] }, - "execution_count": 81, + "execution_count": 90, "metadata": {}, "output_type": "execute_result" } @@ -2783,7 +2745,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 91, "metadata": {}, "outputs": [ { @@ -2793,7 +2755,7 @@ "Name: 2013-01-15 12:30:00, dtype: float64" ] }, - "execution_count": 82, + "execution_count": 91, "metadata": {}, "output_type": "execute_result" } @@ -2815,7 +2777,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 92, "metadata": {}, "outputs": [ { @@ -2864,50 +2826,10 @@ " 0.272391\n", " \n", " \n", - " 2013-01-01 00:05:00\n", - " -0.969176\n", - " \n", - " \n", - " 2013-01-01 00:06:00\n", - " 0.871968\n", - " \n", - " \n", - " 2013-01-01 00:07:00\n", - " -1.446359\n", - " \n", - " \n", - " 2013-01-01 00:08:00\n", - " -0.536481\n", - " \n", - " \n", - " 2013-01-01 00:09:00\n", - " 0.197921\n", - " \n", - " \n", " ...\n", " ...\n", " \n", " \n", - " 2013-02-27 23:51:00\n", - " 1.025047\n", - " \n", - " \n", - " 2013-02-27 23:52:00\n", - " 0.155222\n", - " \n", - " \n", - " 2013-02-27 23:53:00\n", - " 0.155307\n", - " \n", - " \n", - " 2013-02-27 23:54:00\n", - " 1.769924\n", - " \n", - " \n", - " 2013-02-27 23:55:00\n", - " -0.941846\n", - " \n", - " \n", " 2013-02-27 23:56:00\n", " 0.702629\n", " \n", @@ -2939,17 +2861,7 @@ "2013-01-01 00:02:00 -0.688879\n", "2013-01-01 00:03:00 0.802630\n", "2013-01-01 00:04:00 0.272391\n", - "2013-01-01 00:05:00 -0.969176\n", - "2013-01-01 00:06:00 0.871968\n", - "2013-01-01 00:07:00 -1.446359\n", - "2013-01-01 00:08:00 -0.536481\n", - "2013-01-01 00:09:00 0.197921\n", "... ...\n", - "2013-02-27 23:51:00 1.025047\n", - "2013-02-27 23:52:00 0.155222\n", - "2013-02-27 23:53:00 0.155307\n", - "2013-02-27 23:54:00 1.769924\n", - "2013-02-27 23:55:00 -0.941846\n", "2013-02-27 23:56:00 0.702629\n", "2013-02-27 23:57:00 -1.015303\n", "2013-02-27 23:58:00 -0.433161\n", @@ -2959,7 +2871,7 @@ "[83521 rows x 1 columns]" ] }, - "execution_count": 83, + "execution_count": 92, "metadata": {}, "output_type": "execute_result" } @@ -2977,7 +2889,7 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 93, "metadata": {}, "outputs": [ { @@ -3026,50 +2938,10 @@ " -0.909358\n", " \n", " \n", - " 2013-01-01 10:17:00\n", - " 1.158369\n", - " \n", - " \n", - " 2013-01-01 10:18:00\n", - " -0.992256\n", - " \n", - " \n", - " 2013-01-01 10:19:00\n", - " 0.051982\n", - " \n", - " \n", - " 2013-01-01 10:20:00\n", - " -0.254945\n", - " \n", - " \n", - " 2013-01-01 10:21:00\n", - " 1.389627\n", - " \n", - " \n", " ...\n", " ...\n", " \n", " \n", - " 2013-02-28 10:03:00\n", - " -0.698299\n", - " \n", - " \n", - " 2013-02-28 10:04:00\n", - " 1.057024\n", - " \n", - " \n", - " 2013-02-28 10:05:00\n", - " -1.918695\n", - " \n", - " \n", - " 2013-02-28 10:06:00\n", - " 0.251116\n", - " \n", - " \n", - " 2013-02-28 10:07:00\n", - " -0.671539\n", - " \n", - " \n", " 2013-02-28 10:08:00\n", " 0.303487\n", " \n", @@ -3101,17 +2973,7 @@ "2013-01-01 10:14:00 1.206421\n", "2013-01-01 10:15:00 -1.173520\n", "2013-01-01 10:16:00 -0.909358\n", - "2013-01-01 10:17:00 1.158369\n", - "2013-01-01 10:18:00 -0.992256\n", - "2013-01-01 10:19:00 0.051982\n", - "2013-01-01 10:20:00 -0.254945\n", - "2013-01-01 10:21:00 1.389627\n", "... ...\n", - "2013-02-28 10:03:00 -0.698299\n", - "2013-02-28 10:04:00 1.057024\n", - "2013-02-28 10:05:00 -1.918695\n", - "2013-02-28 10:06:00 0.251116\n", - "2013-02-28 10:07:00 -0.671539\n", "2013-02-28 10:08:00 0.303487\n", "2013-02-28 10:09:00 -0.983036\n", "2013-02-28 10:10:00 -0.226473\n", @@ -3121,7 +2983,7 @@ "[83521 rows x 1 columns]" ] }, - "execution_count": 84, + "execution_count": 93, "metadata": {}, "output_type": "execute_result" } @@ -3141,7 +3003,7 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 94, "metadata": {}, "outputs": [ { @@ -3153,7 +3015,7 @@ "Freq: BM, dtype: float64" ] }, - "execution_count": 85, + "execution_count": 94, "metadata": {}, "output_type": "execute_result" } @@ -3171,7 +3033,7 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 95, "metadata": {}, "outputs": [ { @@ -3180,7 +3042,7 @@ "DatetimeIndex(['2011-01-31', '2011-03-31', '2011-07-29'], dtype='datetime64[ns]', freq=None)" ] }, - "execution_count": 86, + "execution_count": 95, "metadata": {}, "output_type": "execute_result" } @@ -3229,7 +3091,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 96, "metadata": {}, "outputs": [ { @@ -3240,17 +3102,16 @@ "2011-03-31 -1.339389\n", "2011-04-29 -1.689653\n", "2011-05-31 -0.199327\n", - "2011-06-30 0.257773\n", - "2011-07-29 1.828821\n", + " ... \n", "2011-08-31 -1.001002\n", "2011-09-30 -2.091691\n", "2011-10-31 0.146560\n", "2011-11-30 -0.466351\n", "2011-12-30 0.356223\n", - "Freq: BM, dtype: float64" + "Freq: BM, Length: 12, dtype: float64" ] }, - "execution_count": 87, + "execution_count": 96, "metadata": {}, "output_type": "execute_result" } @@ -3261,7 +3122,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 97, "metadata": {}, "outputs": [ { @@ -3270,7 +3131,7 @@ "Int64Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype='int64')" ] }, - "execution_count": 88, + "execution_count": 97, "metadata": {}, "output_type": "execute_result" } @@ -3283,6 +3144,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "## DateOffset objects\n", "\n", "In the preceding examples, we created DatetimeIndex objects at various frequencies by passing in frequency strings like 'M', 'W', and 'BM' to the freq keyword. Under the hood, these frequency strings are being translated into an instance of pandas DateOffset, which represents a regular frequency increment. Specific offset logic like β€œmonth”, β€œbusiness day”, or β€œone hour” is represented in its various subclasses.\n", @@ -3329,7 +3192,7 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 98, "metadata": {}, "outputs": [], "source": [ @@ -3338,7 +3201,7 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 99, "metadata": {}, "outputs": [ { @@ -3347,7 +3210,7 @@ "datetime.datetime(2018, 2, 27, 9, 0)" ] }, - "execution_count": 90, + "execution_count": 99, "metadata": {}, "output_type": "execute_result" } @@ -3358,7 +3221,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 100, "metadata": {}, "outputs": [ { @@ -3367,7 +3230,7 @@ "Timestamp('2018-02-27 09:00:00')" ] }, - "execution_count": 91, + "execution_count": 100, "metadata": {}, "output_type": "execute_result" } @@ -3378,7 +3241,7 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 101, "metadata": { "scrolled": false }, @@ -3389,7 +3252,7 @@ "Timestamp('2018-04-28 09:00:00')" ] }, - "execution_count": 92, + "execution_count": 101, "metadata": {}, "output_type": "execute_result" } @@ -3418,7 +3281,7 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 102, "metadata": {}, "outputs": [ { @@ -3427,7 +3290,7 @@ "Timestamp('2018-02-20 09:00:00')" ] }, - "execution_count": 93, + "execution_count": 102, "metadata": {}, "output_type": "execute_result" } @@ -3438,7 +3301,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 103, "metadata": {}, "outputs": [ { @@ -3447,7 +3310,7 @@ "Timestamp('2018-02-28 09:00:00')" ] }, - "execution_count": 94, + "execution_count": 103, "metadata": {}, "output_type": "execute_result" } @@ -3465,7 +3328,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 104, "metadata": {}, "outputs": [ { @@ -3474,7 +3337,7 @@ "datetime.datetime(2018, 2, 27, 9, 0)" ] }, - "execution_count": 95, + "execution_count": 104, "metadata": {}, "output_type": "execute_result" } @@ -3485,7 +3348,7 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 105, "metadata": {}, "outputs": [], "source": [ @@ -3494,7 +3357,7 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 106, "metadata": {}, "outputs": [ { @@ -3503,7 +3366,7 @@ "Timestamp('2018-02-28 09:00:00')" ] }, - "execution_count": 97, + "execution_count": 106, "metadata": {}, "output_type": "execute_result" } @@ -3514,7 +3377,7 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 107, "metadata": {}, "outputs": [ { @@ -3523,7 +3386,7 @@ "Timestamp('2018-01-31 09:00:00')" ] }, - "execution_count": 98, + "execution_count": 107, "metadata": {}, "output_type": "execute_result" } @@ -3543,7 +3406,7 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 108, "metadata": {}, "outputs": [], "source": [ @@ -3552,7 +3415,7 @@ }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 109, "metadata": {}, "outputs": [ { @@ -3561,7 +3424,7 @@ "Timestamp('2014-01-02 09:00:00')" ] }, - "execution_count": 100, + "execution_count": 109, "metadata": {}, "output_type": "execute_result" } @@ -3572,7 +3435,7 @@ }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 110, "metadata": {}, "outputs": [], "source": [ @@ -3581,7 +3444,7 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 111, "metadata": {}, "outputs": [ { @@ -3590,7 +3453,7 @@ "Timestamp('2014-01-02 00:00:00')" ] }, - "execution_count": 102, + "execution_count": 111, "metadata": {}, "output_type": "execute_result" } @@ -3601,7 +3464,7 @@ }, { "cell_type": "code", - "execution_count": 103, + "execution_count": 112, "metadata": {}, "outputs": [], "source": [ @@ -3610,7 +3473,7 @@ }, { "cell_type": "code", - "execution_count": 104, + "execution_count": 113, "metadata": {}, "outputs": [ { @@ -3619,7 +3482,7 @@ "Timestamp('2014-01-01 23:00:00')" ] }, - "execution_count": 104, + "execution_count": 113, "metadata": {}, "output_type": "execute_result" } @@ -3630,7 +3493,7 @@ }, { "cell_type": "code", - "execution_count": 105, + "execution_count": 114, "metadata": {}, "outputs": [ { @@ -3639,7 +3502,7 @@ "Timestamp('2014-01-01 23:00:00')" ] }, - "execution_count": 105, + "execution_count": 114, "metadata": {}, "output_type": "execute_result" } @@ -3650,7 +3513,7 @@ }, { "cell_type": "code", - "execution_count": 106, + "execution_count": 115, "metadata": {}, "outputs": [], "source": [ @@ -3659,7 +3522,7 @@ }, { "cell_type": "code", - "execution_count": 107, + "execution_count": 116, "metadata": {}, "outputs": [ { @@ -3668,7 +3531,7 @@ "Timestamp('2014-01-01 00:00:00')" ] }, - "execution_count": 107, + "execution_count": 116, "metadata": {}, "output_type": "execute_result" } @@ -3679,7 +3542,7 @@ }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 117, "metadata": {}, "outputs": [ { @@ -3688,7 +3551,7 @@ "Timestamp('2014-01-02 00:00:00')" ] }, - "execution_count": 108, + "execution_count": 117, "metadata": {}, "output_type": "execute_result" } @@ -3708,7 +3571,7 @@ }, { "cell_type": "code", - "execution_count": 109, + "execution_count": 118, "metadata": {}, "outputs": [ { @@ -3717,7 +3580,7 @@ "datetime.datetime(2018, 2, 27, 9, 0)" ] }, - "execution_count": 109, + "execution_count": 118, "metadata": {}, "output_type": "execute_result" } @@ -3728,7 +3591,7 @@ }, { "cell_type": "code", - "execution_count": 110, + "execution_count": 119, "metadata": {}, "outputs": [ { @@ -3737,7 +3600,7 @@ "Timestamp('2018-03-06 09:00:00')" ] }, - "execution_count": 110, + "execution_count": 119, "metadata": {}, "output_type": "execute_result" } @@ -3748,7 +3611,7 @@ }, { "cell_type": "code", - "execution_count": 111, + "execution_count": 120, "metadata": {}, "outputs": [ { @@ -3757,7 +3620,7 @@ "Timestamp('2018-03-02 09:00:00')" ] }, - "execution_count": 111, + "execution_count": 120, "metadata": {}, "output_type": "execute_result" } @@ -3768,7 +3631,7 @@ }, { "cell_type": "code", - "execution_count": 112, + "execution_count": 121, "metadata": {}, "outputs": [ { @@ -3777,7 +3640,7 @@ "4" ] }, - "execution_count": 112, + "execution_count": 121, "metadata": {}, "output_type": "execute_result" } @@ -3788,7 +3651,7 @@ }, { "cell_type": "code", - "execution_count": 113, + "execution_count": 122, "metadata": {}, "outputs": [ { @@ -3797,7 +3660,7 @@ "Timestamp('2018-02-20 09:00:00')" ] }, - "execution_count": 113, + "execution_count": 122, "metadata": {}, "output_type": "execute_result" } @@ -3815,7 +3678,7 @@ }, { "cell_type": "code", - "execution_count": 114, + "execution_count": 123, "metadata": {}, "outputs": [ { @@ -3824,7 +3687,7 @@ "Timestamp('2018-03-06 00:00:00')" ] }, - "execution_count": 114, + "execution_count": 123, "metadata": {}, "output_type": "execute_result" } @@ -3835,7 +3698,7 @@ }, { "cell_type": "code", - "execution_count": 115, + "execution_count": 124, "metadata": {}, "outputs": [ { @@ -3844,7 +3707,7 @@ "Timestamp('2018-02-20 00:00:00')" ] }, - "execution_count": 115, + "execution_count": 124, "metadata": {}, "output_type": "execute_result" } @@ -3862,7 +3725,7 @@ }, { "cell_type": "code", - "execution_count": 116, + "execution_count": 125, "metadata": {}, "outputs": [ { @@ -3871,7 +3734,7 @@ "Timestamp('2018-12-31 09:00:00')" ] }, - "execution_count": 116, + "execution_count": 125, "metadata": {}, "output_type": "execute_result" } @@ -3882,7 +3745,7 @@ }, { "cell_type": "code", - "execution_count": 117, + "execution_count": 126, "metadata": {}, "outputs": [ { @@ -3891,7 +3754,7 @@ "Timestamp('2018-06-30 09:00:00')" ] }, - "execution_count": 117, + "execution_count": 126, "metadata": {}, "output_type": "execute_result" } @@ -3911,7 +3774,7 @@ }, { "cell_type": "code", - "execution_count": 118, + "execution_count": 127, "metadata": {}, "outputs": [], "source": [ @@ -3920,7 +3783,7 @@ }, { "cell_type": "code", - "execution_count": 119, + "execution_count": 128, "metadata": {}, "outputs": [], "source": [ @@ -3929,7 +3792,7 @@ }, { "cell_type": "code", - "execution_count": 120, + "execution_count": 129, "metadata": {}, "outputs": [ { @@ -3938,7 +3801,7 @@ "DatetimeIndex(['2012-01-01', '2012-01-02', '2012-01-03'], dtype='datetime64[ns]', freq='D')" ] }, - "execution_count": 120, + "execution_count": 129, "metadata": {}, "output_type": "execute_result" } @@ -3949,7 +3812,7 @@ }, { "cell_type": "code", - "execution_count": 121, + "execution_count": 130, "metadata": {}, "outputs": [ { @@ -3958,7 +3821,7 @@ "DatetimeIndex(['2012-03-01', '2012-03-02', '2012-03-03'], dtype='datetime64[ns]', freq='D')" ] }, - "execution_count": 121, + "execution_count": 130, "metadata": {}, "output_type": "execute_result" } @@ -3969,7 +3832,7 @@ }, { "cell_type": "code", - "execution_count": 122, + "execution_count": 131, "metadata": {}, "outputs": [ { @@ -3981,7 +3844,7 @@ "dtype: datetime64[ns]" ] }, - "execution_count": 122, + "execution_count": 131, "metadata": {}, "output_type": "execute_result" } @@ -3992,7 +3855,7 @@ }, { "cell_type": "code", - "execution_count": 123, + "execution_count": 132, "metadata": {}, "outputs": [ { @@ -4004,7 +3867,7 @@ "dtype: datetime64[ns]" ] }, - "execution_count": 123, + "execution_count": 132, "metadata": {}, "output_type": "execute_result" } @@ -4022,7 +3885,7 @@ }, { "cell_type": "code", - "execution_count": 124, + "execution_count": 133, "metadata": {}, "outputs": [ { @@ -4034,7 +3897,7 @@ "dtype: datetime64[ns]" ] }, - "execution_count": 124, + "execution_count": 133, "metadata": {}, "output_type": "execute_result" } @@ -4045,7 +3908,7 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 134, "metadata": {}, "outputs": [], "source": [ @@ -4054,7 +3917,7 @@ }, { "cell_type": "code", - "execution_count": 126, + "execution_count": 135, "metadata": {}, "outputs": [ { @@ -4066,7 +3929,7 @@ "dtype: timedelta64[ns]" ] }, - "execution_count": 126, + "execution_count": 135, "metadata": {}, "output_type": "execute_result" } @@ -4077,7 +3940,7 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": 136, "metadata": {}, "outputs": [ { @@ -4089,7 +3952,7 @@ "dtype: timedelta64[ns]" ] }, - "execution_count": 127, + "execution_count": 136, "metadata": {}, "output_type": "execute_result" } @@ -4107,24 +3970,16 @@ }, { "cell_type": "code", - "execution_count": 128, + "execution_count": 137, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.6/site-packages/pandas/core/indexes/datetimes.py:840: PerformanceWarning: Non-vectorized DateOffset being applied to Series or DatetimeIndex\n", - " \"or DatetimeIndex\", PerformanceWarning)\n" - ] - }, { "data": { "text/plain": [ - "DatetimeIndex(['2012-03-30', '2012-03-30', '2012-03-30'], dtype='datetime64[ns]', freq=None)" + "DatetimeIndex(['2012-03-30', '2012-03-30', '2012-03-30'], dtype='datetime64[ns]', freq='D')" ] }, - "execution_count": 128, + "execution_count": 137, "metadata": {}, "output_type": "execute_result" } @@ -4181,7 +4036,7 @@ }, { "cell_type": "code", - "execution_count": 129, + "execution_count": 138, "metadata": {}, "outputs": [ { @@ -4192,7 +4047,7 @@ " dtype='datetime64[ns]', freq='B')" ] }, - "execution_count": 129, + "execution_count": 138, "metadata": {}, "output_type": "execute_result" } @@ -4203,7 +4058,7 @@ }, { "cell_type": "code", - "execution_count": 130, + "execution_count": 139, "metadata": {}, "outputs": [ { @@ -4214,7 +4069,7 @@ " dtype='datetime64[ns]', freq='B')" ] }, - "execution_count": 130, + "execution_count": 139, "metadata": {}, "output_type": "execute_result" } @@ -4232,7 +4087,7 @@ }, { "cell_type": "code", - "execution_count": 131, + "execution_count": 140, "metadata": {}, "outputs": [ { @@ -4246,7 +4101,7 @@ " dtype='datetime64[ns]', freq='140T')" ] }, - "execution_count": 131, + "execution_count": 140, "metadata": {}, "output_type": "execute_result" } @@ -4257,7 +4112,7 @@ }, { "cell_type": "code", - "execution_count": 132, + "execution_count": 141, "metadata": {}, "outputs": [ { @@ -4271,7 +4126,7 @@ " dtype='datetime64[ns]', freq='86400000010U')" ] }, - "execution_count": 132, + "execution_count": 141, "metadata": {}, "output_type": "execute_result" } @@ -4284,6 +4139,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "## Time series-related instance methods\n", "\n", "### Shifting / lagging\n", @@ -4293,7 +4150,7 @@ }, { "cell_type": "code", - "execution_count": 133, + "execution_count": 142, "metadata": {}, "outputs": [], "source": [ @@ -4302,7 +4159,7 @@ }, { "cell_type": "code", - "execution_count": 134, + "execution_count": 143, "metadata": {}, "outputs": [ { @@ -4316,7 +4173,7 @@ "Freq: D, dtype: object" ] }, - "execution_count": 134, + "execution_count": 143, "metadata": {}, "output_type": "execute_result" } @@ -4327,7 +4184,7 @@ }, { "cell_type": "code", - "execution_count": 135, + "execution_count": 144, "metadata": { "scrolled": true }, @@ -4343,7 +4200,7 @@ "Freq: D, dtype: object" ] }, - "execution_count": 135, + "execution_count": 144, "metadata": {}, "output_type": "execute_result" } @@ -4363,7 +4220,7 @@ }, { "cell_type": "code", - "execution_count": 136, + "execution_count": 145, "metadata": { "scrolled": true }, @@ -4379,7 +4236,7 @@ "Freq: D, dtype: object" ] }, - "execution_count": 136, + "execution_count": 145, "metadata": {}, "output_type": "execute_result" } @@ -4390,7 +4247,7 @@ }, { "cell_type": "code", - "execution_count": 137, + "execution_count": 146, "metadata": {}, "outputs": [ { @@ -4401,10 +4258,10 @@ "2018-05-31 c\n", "2018-05-31 d\n", "2018-05-31 e\n", - "dtype: object" + "Freq: D, dtype: object" ] }, - "execution_count": 137, + "execution_count": 146, "metadata": {}, "output_type": "execute_result" } @@ -4422,7 +4279,7 @@ }, { "cell_type": "code", - "execution_count": 138, + "execution_count": 147, "metadata": { "scrolled": true }, @@ -4438,7 +4295,7 @@ "Freq: D, dtype: object" ] }, - "execution_count": 138, + "execution_count": 147, "metadata": {}, "output_type": "execute_result" } @@ -4465,7 +4322,7 @@ }, { "cell_type": "code", - "execution_count": 139, + "execution_count": 148, "metadata": {}, "outputs": [], "source": [ @@ -4474,7 +4331,7 @@ }, { "cell_type": "code", - "execution_count": 140, + "execution_count": 149, "metadata": {}, "outputs": [], "source": [ @@ -4483,7 +4340,7 @@ }, { "cell_type": "code", - "execution_count": 141, + "execution_count": 150, "metadata": {}, "outputs": [ { @@ -4495,7 +4352,7 @@ "Freq: 3B, dtype: float64" ] }, - "execution_count": 141, + "execution_count": 150, "metadata": {}, "output_type": "execute_result" } @@ -4506,7 +4363,7 @@ }, { "cell_type": "code", - "execution_count": 142, + "execution_count": 151, "metadata": { "scrolled": true }, @@ -4524,7 +4381,7 @@ "Freq: B, dtype: float64" ] }, - "execution_count": 142, + "execution_count": 151, "metadata": {}, "output_type": "execute_result" } @@ -4542,7 +4399,7 @@ }, { "cell_type": "code", - "execution_count": 143, + "execution_count": 152, "metadata": {}, "outputs": [ { @@ -4558,7 +4415,7 @@ "Freq: B, dtype: float64" ] }, - "execution_count": 143, + "execution_count": 152, "metadata": {}, "output_type": "execute_result" } @@ -4578,7 +4435,7 @@ }, { "cell_type": "code", - "execution_count": 144, + "execution_count": 153, "metadata": {}, "outputs": [ { @@ -4594,7 +4451,7 @@ "Freq: B, dtype: float64" ] }, - "execution_count": 144, + "execution_count": 153, "metadata": {}, "output_type": "execute_result" } @@ -4607,7 +4464,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Time Span Representation\n", + "\n", + "\n", + "## Time span representation\n", "\n", "Regular intervals of time are represented by Period objects in pandas while sequences of Period objects are collected in a PeriodIndex, which can be created with the convenience function period_range.\n", "\n", @@ -4618,7 +4477,7 @@ }, { "cell_type": "code", - "execution_count": 145, + "execution_count": 154, "metadata": {}, "outputs": [ { @@ -4627,7 +4486,7 @@ "Period('2012', 'A-DEC')" ] }, - "execution_count": 145, + "execution_count": 154, "metadata": {}, "output_type": "execute_result" } @@ -4638,7 +4497,7 @@ }, { "cell_type": "code", - "execution_count": 146, + "execution_count": 155, "metadata": {}, "outputs": [ { @@ -4647,7 +4506,7 @@ "Period('2012-01-01', 'D')" ] }, - "execution_count": 146, + "execution_count": 155, "metadata": {}, "output_type": "execute_result" } @@ -4658,7 +4517,7 @@ }, { "cell_type": "code", - "execution_count": 147, + "execution_count": 156, "metadata": {}, "outputs": [ { @@ -4667,7 +4526,7 @@ "Period('2012-01-01 19:00', 'H')" ] }, - "execution_count": 147, + "execution_count": 156, "metadata": {}, "output_type": "execute_result" } @@ -4678,7 +4537,7 @@ }, { "cell_type": "code", - "execution_count": 148, + "execution_count": 157, "metadata": {}, "outputs": [ { @@ -4687,7 +4546,7 @@ "Period('2012-01-01 19:00', '5H')" ] }, - "execution_count": 148, + "execution_count": 157, "metadata": {}, "output_type": "execute_result" } @@ -4705,7 +4564,7 @@ }, { "cell_type": "code", - "execution_count": 149, + "execution_count": 158, "metadata": {}, "outputs": [], "source": [ @@ -4714,7 +4573,7 @@ }, { "cell_type": "code", - "execution_count": 150, + "execution_count": 159, "metadata": {}, "outputs": [ { @@ -4723,7 +4582,7 @@ "Period('2013', 'A-DEC')" ] }, - "execution_count": 150, + "execution_count": 159, "metadata": {}, "output_type": "execute_result" } @@ -4734,7 +4593,7 @@ }, { "cell_type": "code", - "execution_count": 151, + "execution_count": 160, "metadata": {}, "outputs": [ { @@ -4743,7 +4602,7 @@ "Period('2009', 'A-DEC')" ] }, - "execution_count": 151, + "execution_count": 160, "metadata": {}, "output_type": "execute_result" } @@ -4754,7 +4613,7 @@ }, { "cell_type": "code", - "execution_count": 152, + "execution_count": 161, "metadata": {}, "outputs": [], "source": [ @@ -4763,7 +4622,7 @@ }, { "cell_type": "code", - "execution_count": 153, + "execution_count": 162, "metadata": {}, "outputs": [ { @@ -4772,7 +4631,7 @@ "Period('2012-05', '2M')" ] }, - "execution_count": 153, + "execution_count": 162, "metadata": {}, "output_type": "execute_result" } @@ -4783,7 +4642,7 @@ }, { "cell_type": "code", - "execution_count": 154, + "execution_count": 163, "metadata": {}, "outputs": [ { @@ -4792,7 +4651,7 @@ "Period('2011-11', '2M')" ] }, - "execution_count": 154, + "execution_count": 163, "metadata": {}, "output_type": "execute_result" } @@ -4810,7 +4669,7 @@ }, { "cell_type": "code", - "execution_count": 155, + "execution_count": 164, "metadata": {}, "outputs": [], "source": [ @@ -4819,7 +4678,7 @@ }, { "cell_type": "code", - "execution_count": 156, + "execution_count": 165, "metadata": {}, "outputs": [ { @@ -4828,7 +4687,7 @@ "Period('2014-07-01 11:00', 'H')" ] }, - "execution_count": 156, + "execution_count": 165, "metadata": {}, "output_type": "execute_result" } @@ -4839,7 +4698,7 @@ }, { "cell_type": "code", - "execution_count": 157, + "execution_count": 166, "metadata": {}, "outputs": [ { @@ -4848,7 +4707,7 @@ "Period('2014-07-01 11:00', 'H')" ] }, - "execution_count": 157, + "execution_count": 166, "metadata": {}, "output_type": "execute_result" } @@ -4859,7 +4718,7 @@ }, { "cell_type": "code", - "execution_count": 158, + "execution_count": 167, "metadata": {}, "outputs": [ { @@ -4868,7 +4727,7 @@ "Period('2014-07-01 11:00', 'H')" ] }, - "execution_count": 158, + "execution_count": 167, "metadata": {}, "output_type": "execute_result" } @@ -4886,7 +4745,7 @@ }, { "cell_type": "code", - "execution_count": 159, + "execution_count": 168, "metadata": {}, "outputs": [], "source": [ @@ -4895,7 +4754,7 @@ }, { "cell_type": "code", - "execution_count": 160, + "execution_count": 169, "metadata": {}, "outputs": [ { @@ -4904,7 +4763,7 @@ "Period('2014-10', 'M')" ] }, - "execution_count": 160, + "execution_count": 169, "metadata": {}, "output_type": "execute_result" } @@ -4915,7 +4774,7 @@ }, { "cell_type": "code", - "execution_count": 161, + "execution_count": 170, "metadata": {}, "outputs": [ { @@ -4924,7 +4783,7 @@ "10" ] }, - "execution_count": 161, + "execution_count": 170, "metadata": {}, "output_type": "execute_result" } @@ -4944,16 +4803,16 @@ }, { "cell_type": "code", - "execution_count": 162, + "execution_count": 171, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Timedelta('17589 days 10:45:57.466213')" + "Timedelta('17854 days 13:25:57.847288')" ] }, - "execution_count": 162, + "execution_count": 171, "metadata": {}, "output_type": "execute_result" } @@ -4964,7 +4823,7 @@ }, { "cell_type": "code", - "execution_count": 163, + "execution_count": 172, "metadata": { "scrolled": false }, @@ -4972,10 +4831,10 @@ { "data": { "text/plain": [ - "17589" + "17854" ] }, - "execution_count": 163, + "execution_count": 172, "metadata": {}, "output_type": "execute_result" } @@ -4986,7 +4845,7 @@ }, { "cell_type": "code", - "execution_count": 164, + "execution_count": 173, "metadata": { "scrolled": false }, @@ -4997,7 +4856,7 @@ "48" ] }, - "execution_count": 164, + "execution_count": 173, "metadata": {}, "output_type": "execute_result" } @@ -5008,25 +4867,37 @@ }, { "cell_type": "code", - "execution_count": 165, + "execution_count": 174, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Timedelta('17854 days 13:25:57.875449')" + ] + }, + "execution_count": 174, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "t = pd.datetime.today() - pd.Timestamp('1/1/1970')" + "t = pd.datetime.today() - pd.Timestamp('1/1/1970')\n", + "t" ] }, { "cell_type": "code", - "execution_count": 166, + "execution_count": 175, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "17589" + "17854" ] }, - "execution_count": 166, + "execution_count": 175, "metadata": {}, "output_type": "execute_result" } @@ -5046,7 +4917,7 @@ }, { "cell_type": "code", - "execution_count": 167, + "execution_count": 176, "metadata": {}, "outputs": [], "source": [ @@ -5055,7 +4926,7 @@ }, { "cell_type": "code", - "execution_count": 168, + "execution_count": 177, "metadata": {}, "outputs": [ { @@ -5067,7 +4938,7 @@ " dtype='period[M]', freq='M')" ] }, - "execution_count": 168, + "execution_count": 177, "metadata": {}, "output_type": "execute_result" } @@ -5085,7 +4956,7 @@ }, { "cell_type": "code", - "execution_count": 169, + "execution_count": 178, "metadata": {}, "outputs": [ { @@ -5094,7 +4965,7 @@ "PeriodIndex(['2011-01', '2011-02', '2011-03'], dtype='period[M]', freq='M')" ] }, - "execution_count": 169, + "execution_count": 178, "metadata": {}, "output_type": "execute_result" } @@ -5112,7 +4983,7 @@ }, { "cell_type": "code", - "execution_count": 170, + "execution_count": 179, "metadata": {}, "outputs": [ { @@ -5121,7 +4992,7 @@ "PeriodIndex(['2014-01', '2014-04', '2014-07', '2014-10'], dtype='period[3M]', freq='3M')" ] }, - "execution_count": 170, + "execution_count": 179, "metadata": {}, "output_type": "execute_result" } @@ -5139,7 +5010,7 @@ }, { "cell_type": "code", - "execution_count": 171, + "execution_count": 180, "metadata": {}, "outputs": [], "source": [ @@ -5148,7 +5019,7 @@ }, { "cell_type": "code", - "execution_count": 172, + "execution_count": 181, "metadata": {}, "outputs": [ { @@ -5159,18 +5030,16 @@ "2011-03 0.123990\n", "2011-04 0.061996\n", "2011-05 -1.098168\n", - "2011-06 0.351612\n", - "2011-07 -1.165559\n", - "2011-08 -0.055498\n", + " ... \n", "2011-09 -0.121368\n", "2011-10 -0.684034\n", "2011-11 -0.936657\n", "2011-12 -0.925786\n", "2012-01 -0.039955\n", - "Freq: M, dtype: float64" + "Freq: M, Length: 13, dtype: float64" ] }, - "execution_count": 172, + "execution_count": 181, "metadata": {}, "output_type": "execute_result" } @@ -5188,7 +5057,7 @@ }, { "cell_type": "code", - "execution_count": 173, + "execution_count": 182, "metadata": {}, "outputs": [], "source": [ @@ -5197,7 +5066,7 @@ }, { "cell_type": "code", - "execution_count": 174, + "execution_count": 183, "metadata": {}, "outputs": [ { @@ -5208,7 +5077,7 @@ " dtype='period[H]', freq='H')" ] }, - "execution_count": 174, + "execution_count": 183, "metadata": {}, "output_type": "execute_result" } @@ -5219,7 +5088,7 @@ }, { "cell_type": "code", - "execution_count": 175, + "execution_count": 184, "metadata": {}, "outputs": [ { @@ -5230,7 +5099,7 @@ " dtype='period[H]', freq='H')" ] }, - "execution_count": 175, + "execution_count": 184, "metadata": {}, "output_type": "execute_result" } @@ -5241,7 +5110,7 @@ }, { "cell_type": "code", - "execution_count": 176, + "execution_count": 185, "metadata": {}, "outputs": [], "source": [ @@ -5250,7 +5119,7 @@ }, { "cell_type": "code", - "execution_count": 177, + "execution_count": 186, "metadata": {}, "outputs": [ { @@ -5259,7 +5128,7 @@ "PeriodIndex(['2014-07', '2014-08', '2014-09', '2014-10', '2014-11'], dtype='period[M]', freq='M')" ] }, - "execution_count": 177, + "execution_count": 186, "metadata": {}, "output_type": "execute_result" } @@ -5270,7 +5139,7 @@ }, { "cell_type": "code", - "execution_count": 178, + "execution_count": 187, "metadata": {}, "outputs": [ { @@ -5279,7 +5148,7 @@ "PeriodIndex(['2014-10', '2014-11', '2014-12', '2015-01', '2015-02'], dtype='period[M]', freq='M')" ] }, - "execution_count": 178, + "execution_count": 187, "metadata": {}, "output_type": "execute_result" } @@ -5299,7 +5168,7 @@ }, { "cell_type": "code", - "execution_count": 179, + "execution_count": 188, "metadata": {}, "outputs": [ { @@ -5310,18 +5179,16 @@ "2011-03 0.123990\n", "2011-04 0.061996\n", "2011-05 -1.098168\n", - "2011-06 0.351612\n", - "2011-07 -1.165559\n", - "2011-08 -0.055498\n", + " ... \n", "2011-09 -0.121368\n", "2011-10 -0.684034\n", "2011-11 -0.936657\n", "2011-12 -0.925786\n", "2012-01 -0.039955\n", - "Freq: M, dtype: float64" + "Freq: M, Length: 13, dtype: float64" ] }, - "execution_count": 179, + "execution_count": 188, "metadata": {}, "output_type": "execute_result" } @@ -5332,7 +5199,7 @@ }, { "cell_type": "code", - "execution_count": 180, + "execution_count": 189, "metadata": {}, "outputs": [ { @@ -5341,7 +5208,7 @@ "0.6103969193827244" ] }, - "execution_count": 180, + "execution_count": 189, "metadata": {}, "output_type": "execute_result" } @@ -5352,7 +5219,7 @@ }, { "cell_type": "code", - "execution_count": 181, + "execution_count": 190, "metadata": {}, "outputs": [ { @@ -5363,7 +5230,7 @@ "Freq: M, dtype: float64" ] }, - "execution_count": 181, + "execution_count": 190, "metadata": {}, "output_type": "execute_result" } @@ -5374,7 +5241,7 @@ }, { "cell_type": "code", - "execution_count": 182, + "execution_count": 191, "metadata": {}, "outputs": [ { @@ -5386,7 +5253,7 @@ "Freq: M, dtype: float64" ] }, - "execution_count": 182, + "execution_count": 191, "metadata": {}, "output_type": "execute_result" } @@ -5404,7 +5271,7 @@ }, { "cell_type": "code", - "execution_count": 183, + "execution_count": 192, "metadata": {}, "outputs": [ { @@ -5415,17 +5282,16 @@ "2011-03 0.123990\n", "2011-04 0.061996\n", "2011-05 -1.098168\n", - "2011-06 0.351612\n", - "2011-07 -1.165559\n", + " ... \n", "2011-08 -0.055498\n", "2011-09 -0.121368\n", "2011-10 -0.684034\n", "2011-11 -0.936657\n", "2011-12 -0.925786\n", - "Freq: M, dtype: float64" + "Freq: M, Length: 12, dtype: float64" ] }, - "execution_count": 183, + "execution_count": 192, "metadata": {}, "output_type": "execute_result" } @@ -5436,16 +5302,17 @@ }, { "cell_type": "code", - "execution_count": 184, + "execution_count": 193, "metadata": {}, "outputs": [], "source": [ - "dfp = pd.DataFrame(np.random.randn(600,1), columns=['A'], index=pd.period_range('2013-01-01 9:00', periods=600, freq='T'))" + "dfp = pd.DataFrame(np.random.randn(600,1), columns=['A'], index=pd.period_range('2013-01-01 9:00', \n", + " periods=600, freq='T'))" ] }, { "cell_type": "code", - "execution_count": 185, + "execution_count": 194, "metadata": {}, "outputs": [ { @@ -5478,64 +5345,24 @@ " -0.202472\n", " \n", " \n", - " 2013-01-01 09:01\n", - " 0.471613\n", - " \n", - " \n", - " 2013-01-01 09:02\n", - " 0.412381\n", - " \n", - " \n", - " 2013-01-01 09:03\n", - " 1.468281\n", - " \n", - " \n", - " 2013-01-01 09:04\n", - " -0.029521\n", - " \n", - " \n", - " 2013-01-01 09:05\n", - " -2.514410\n", - " \n", - " \n", - " 2013-01-01 09:06\n", - " -0.728389\n", - " \n", - " \n", - " 2013-01-01 09:07\n", - " 0.361196\n", - " \n", - " \n", - " 2013-01-01 09:08\n", - " -0.062308\n", - " \n", - " \n", - " 2013-01-01 09:09\n", - " -0.150668\n", - " \n", - " \n", - " ...\n", - " ...\n", - " \n", - " \n", - " 2013-01-01 18:50\n", - " -1.647013\n", + " 2013-01-01 09:01\n", + " 0.471613\n", " \n", " \n", - " 2013-01-01 18:51\n", - " -0.395667\n", + " 2013-01-01 09:02\n", + " 0.412381\n", " \n", " \n", - " 2013-01-01 18:52\n", - " 2.208172\n", + " 2013-01-01 09:03\n", + " 1.468281\n", " \n", " \n", - " 2013-01-01 18:53\n", - " -0.514144\n", + " 2013-01-01 09:04\n", + " -0.029521\n", " \n", " \n", - " 2013-01-01 18:54\n", - " 1.336105\n", + " ...\n", + " ...\n", " \n", " \n", " 2013-01-01 18:55\n", @@ -5569,17 +5396,7 @@ "2013-01-01 09:02 0.412381\n", "2013-01-01 09:03 1.468281\n", "2013-01-01 09:04 -0.029521\n", - "2013-01-01 09:05 -2.514410\n", - "2013-01-01 09:06 -0.728389\n", - "2013-01-01 09:07 0.361196\n", - "2013-01-01 09:08 -0.062308\n", - "2013-01-01 09:09 -0.150668\n", "... ...\n", - "2013-01-01 18:50 -1.647013\n", - "2013-01-01 18:51 -0.395667\n", - "2013-01-01 18:52 2.208172\n", - "2013-01-01 18:53 -0.514144\n", - "2013-01-01 18:54 1.336105\n", "2013-01-01 18:55 -3.541275\n", "2013-01-01 18:56 0.647991\n", "2013-01-01 18:57 -0.192105\n", @@ -5589,7 +5406,7 @@ "[600 rows x 1 columns]" ] }, - "execution_count": 185, + "execution_count": 194, "metadata": {}, "output_type": "execute_result" } @@ -5600,7 +5417,7 @@ }, { "cell_type": "code", - "execution_count": 186, + "execution_count": 195, "metadata": {}, "outputs": [ { @@ -5649,50 +5466,10 @@ " 0.425011\n", " \n", " \n", - " 2013-01-01 10:05\n", - " -0.313596\n", - " \n", - " \n", - " 2013-01-01 10:06\n", - " 0.917931\n", - " \n", - " \n", - " 2013-01-01 10:07\n", - " -0.570293\n", - " \n", - " \n", - " 2013-01-01 10:08\n", - " 0.255517\n", - " \n", - " \n", - " 2013-01-01 10:09\n", - " -0.167031\n", - " \n", - " \n", " ...\n", " ...\n", " \n", " \n", - " 2013-01-01 10:50\n", - " 0.668489\n", - " \n", - " \n", - " 2013-01-01 10:51\n", - " -0.322632\n", - " \n", - " \n", - " 2013-01-01 10:52\n", - " -1.489678\n", - " \n", - " \n", - " 2013-01-01 10:53\n", - " -0.589414\n", - " \n", - " \n", - " 2013-01-01 10:54\n", - " 1.074594\n", - " \n", - " \n", " 2013-01-01 10:55\n", " -0.496025\n", " \n", @@ -5724,17 +5501,7 @@ "2013-01-01 10:02 1.256289\n", "2013-01-01 10:03 -0.670824\n", "2013-01-01 10:04 0.425011\n", - "2013-01-01 10:05 -0.313596\n", - "2013-01-01 10:06 0.917931\n", - "2013-01-01 10:07 -0.570293\n", - "2013-01-01 10:08 0.255517\n", - "2013-01-01 10:09 -0.167031\n", "... ...\n", - "2013-01-01 10:50 0.668489\n", - "2013-01-01 10:51 -0.322632\n", - "2013-01-01 10:52 -1.489678\n", - "2013-01-01 10:53 -0.589414\n", - "2013-01-01 10:54 1.074594\n", "2013-01-01 10:55 -0.496025\n", "2013-01-01 10:56 0.406034\n", "2013-01-01 10:57 0.639487\n", @@ -5744,7 +5511,7 @@ "[60 rows x 1 columns]" ] }, - "execution_count": 186, + "execution_count": 195, "metadata": {}, "output_type": "execute_result" } @@ -5762,7 +5529,7 @@ }, { "cell_type": "code", - "execution_count": 187, + "execution_count": 196, "metadata": {}, "outputs": [ { @@ -5811,50 +5578,10 @@ " 0.425011\n", " \n", " \n", - " 2013-01-01 10:05\n", - " -0.313596\n", - " \n", - " \n", - " 2013-01-01 10:06\n", - " 0.917931\n", - " \n", - " \n", - " 2013-01-01 10:07\n", - " -0.570293\n", - " \n", - " \n", - " 2013-01-01 10:08\n", - " 0.255517\n", - " \n", - " \n", - " 2013-01-01 10:09\n", - " -0.167031\n", - " \n", - " \n", " ...\n", " ...\n", " \n", " \n", - " 2013-01-01 11:50\n", - " -0.185731\n", - " \n", - " \n", - " 2013-01-01 11:51\n", - " 0.287572\n", - " \n", - " \n", - " 2013-01-01 11:52\n", - " -1.429810\n", - " \n", - " \n", - " 2013-01-01 11:53\n", - " -1.453869\n", - " \n", - " \n", - " 2013-01-01 11:54\n", - " -0.228315\n", - " \n", - " \n", " 2013-01-01 11:55\n", " -0.487586\n", " \n", @@ -5886,17 +5613,7 @@ "2013-01-01 10:02 1.256289\n", "2013-01-01 10:03 -0.670824\n", "2013-01-01 10:04 0.425011\n", - "2013-01-01 10:05 -0.313596\n", - "2013-01-01 10:06 0.917931\n", - "2013-01-01 10:07 -0.570293\n", - "2013-01-01 10:08 0.255517\n", - "2013-01-01 10:09 -0.167031\n", "... ...\n", - "2013-01-01 11:50 -0.185731\n", - "2013-01-01 11:51 0.287572\n", - "2013-01-01 11:52 -1.429810\n", - "2013-01-01 11:53 -1.453869\n", - "2013-01-01 11:54 -0.228315\n", "2013-01-01 11:55 -0.487586\n", "2013-01-01 11:56 -0.511452\n", "2013-01-01 11:57 -0.223774\n", @@ -5906,7 +5623,7 @@ "[120 rows x 1 columns]" ] }, - "execution_count": 187, + "execution_count": 196, "metadata": {}, "output_type": "execute_result" } @@ -5926,7 +5643,7 @@ }, { "cell_type": "code", - "execution_count": 188, + "execution_count": 197, "metadata": {}, "outputs": [], "source": [ @@ -5935,7 +5652,7 @@ }, { "cell_type": "code", - "execution_count": 189, + "execution_count": 198, "metadata": {}, "outputs": [ { @@ -5944,7 +5661,7 @@ "Period('2011', 'A-DEC')" ] }, - "execution_count": 189, + "execution_count": 198, "metadata": {}, "output_type": "execute_result" } @@ -5962,7 +5679,7 @@ }, { "cell_type": "code", - "execution_count": 190, + "execution_count": 199, "metadata": {}, "outputs": [ { @@ -5971,7 +5688,7 @@ "Period('2011-01', 'M')" ] }, - "execution_count": 190, + "execution_count": 199, "metadata": {}, "output_type": "execute_result" } @@ -5982,7 +5699,7 @@ }, { "cell_type": "code", - "execution_count": 191, + "execution_count": 200, "metadata": {}, "outputs": [ { @@ -5991,7 +5708,7 @@ "Period('2011-12', 'M')" ] }, - "execution_count": 191, + "execution_count": 200, "metadata": {}, "output_type": "execute_result" } @@ -6004,14 +5721,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Converting between representations\n", + "### Converting between representations\n", "\n", "Timestamped data can be converted to PeriodIndex-ed data using to_period and vice-versa using to_timestamp:" ] }, { "cell_type": "code", - "execution_count": 192, + "execution_count": 201, "metadata": {}, "outputs": [], "source": [ @@ -6020,7 +5737,7 @@ }, { "cell_type": "code", - "execution_count": 193, + "execution_count": 202, "metadata": {}, "outputs": [], "source": [ @@ -6029,7 +5746,7 @@ }, { "cell_type": "code", - "execution_count": 194, + "execution_count": 203, "metadata": {}, "outputs": [ { @@ -6043,7 +5760,7 @@ "Freq: M, dtype: float64" ] }, - "execution_count": 194, + "execution_count": 203, "metadata": {}, "output_type": "execute_result" } @@ -6054,7 +5771,29 @@ }, { "cell_type": "code", - "execution_count": 195, + "execution_count": 204, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "DatetimeIndex(['2012-01-31', '2012-02-29', '2012-03-31', '2012-04-30',\n", + " '2012-05-31'],\n", + " dtype='datetime64[ns]', freq='M')" + ] + }, + "execution_count": 204, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ts.index" + ] + }, + { + "cell_type": "code", + "execution_count": 205, "metadata": {}, "outputs": [], "source": [ @@ -6063,7 +5802,7 @@ }, { "cell_type": "code", - "execution_count": 196, + "execution_count": 206, "metadata": {}, "outputs": [ { @@ -6077,7 +5816,7 @@ "Freq: M, dtype: float64" ] }, - "execution_count": 196, + "execution_count": 206, "metadata": {}, "output_type": "execute_result" } @@ -6088,7 +5827,27 @@ }, { "cell_type": "code", - "execution_count": 197, + "execution_count": 207, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "PeriodIndex(['2012-01', '2012-02', '2012-03', '2012-04', '2012-05'], dtype='period[M]', freq='M')" + ] + }, + "execution_count": 207, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ps.index" + ] + }, + { + "cell_type": "code", + "execution_count": 208, "metadata": {}, "outputs": [ { @@ -6102,7 +5861,7 @@ "Freq: MS, dtype: float64" ] }, - "execution_count": 197, + "execution_count": 208, "metadata": {}, "output_type": "execute_result" } @@ -6113,7 +5872,7 @@ }, { "cell_type": "code", - "execution_count": 198, + "execution_count": 209, "metadata": {}, "outputs": [ { @@ -6127,7 +5886,7 @@ "Freq: MS, dtype: float64" ] }, - "execution_count": 198, + "execution_count": 209, "metadata": {}, "output_type": "execute_result" } @@ -6138,7 +5897,7 @@ }, { "cell_type": "code", - "execution_count": 199, + "execution_count": 210, "metadata": {}, "outputs": [ { @@ -6152,7 +5911,7 @@ "Freq: M, dtype: float64" ] }, - "execution_count": 199, + "execution_count": 210, "metadata": {}, "output_type": "execute_result" } @@ -6165,6 +5924,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "## Time zone handling\n", "\n", "Pandas provides rich support for working with timestamps in different time zones using pytz and dateutil libraries. dateutil support is new in 0.14.1 and currently only supported for fixed offset and tzfile zones. The default library is pytz. Support for dateutil is provided for compatibility with other applications e.g. if you use dateutil in other python packages.\n", @@ -6176,7 +5937,7 @@ }, { "cell_type": "code", - "execution_count": 200, + "execution_count": 211, "metadata": {}, "outputs": [], "source": [ @@ -6185,7 +5946,7 @@ }, { "cell_type": "code", - "execution_count": 201, + "execution_count": 212, "metadata": {}, "outputs": [ { @@ -6194,7 +5955,7 @@ "True" ] }, - "execution_count": 201, + "execution_count": 212, "metadata": {}, "output_type": "execute_result" } @@ -6215,7 +5976,7 @@ }, { "cell_type": "code", - "execution_count": 202, + "execution_count": 213, "metadata": {}, "outputs": [], "source": [ @@ -6225,7 +5986,7 @@ }, { "cell_type": "code", - "execution_count": 203, + "execution_count": 214, "metadata": {}, "outputs": [ { @@ -6234,7 +5995,7 @@ "" ] }, - "execution_count": 203, + "execution_count": 214, "metadata": {}, "output_type": "execute_result" } @@ -6245,7 +6006,7 @@ }, { "cell_type": "code", - "execution_count": 204, + "execution_count": 215, "metadata": {}, "outputs": [], "source": [ @@ -6255,7 +6016,7 @@ }, { "cell_type": "code", - "execution_count": 205, + "execution_count": 216, "metadata": {}, "outputs": [ { @@ -6264,7 +6025,7 @@ "tzfile('/usr/share/zoneinfo/Europe/London')" ] }, - "execution_count": 205, + "execution_count": 216, "metadata": {}, "output_type": "execute_result" } @@ -6275,7 +6036,7 @@ }, { "cell_type": "code", - "execution_count": 206, + "execution_count": 217, "metadata": {}, "outputs": [], "source": [ @@ -6285,7 +6046,7 @@ }, { "cell_type": "code", - "execution_count": 207, + "execution_count": 218, "metadata": {}, "outputs": [ { @@ -6294,7 +6055,7 @@ "tzutc()" ] }, - "execution_count": 207, + "execution_count": 218, "metadata": {}, "output_type": "execute_result" } @@ -6312,7 +6073,7 @@ }, { "cell_type": "code", - "execution_count": 208, + "execution_count": 219, "metadata": {}, "outputs": [], "source": [ @@ -6322,7 +6083,7 @@ }, { "cell_type": "code", - "execution_count": 209, + "execution_count": 220, "metadata": {}, "outputs": [], "source": [ @@ -6331,7 +6092,7 @@ }, { "cell_type": "code", - "execution_count": 210, + "execution_count": 221, "metadata": {}, "outputs": [ { @@ -6340,7 +6101,7 @@ "True" ] }, - "execution_count": 210, + "execution_count": 221, "metadata": {}, "output_type": "execute_result" } @@ -6351,7 +6112,7 @@ }, { "cell_type": "code", - "execution_count": 211, + "execution_count": 222, "metadata": {}, "outputs": [], "source": [ @@ -6361,7 +6122,7 @@ }, { "cell_type": "code", - "execution_count": 212, + "execution_count": 223, "metadata": {}, "outputs": [], "source": [ @@ -6370,7 +6131,7 @@ }, { "cell_type": "code", - "execution_count": 213, + "execution_count": 224, "metadata": {}, "outputs": [ { @@ -6379,7 +6140,7 @@ "True" ] }, - "execution_count": 213, + "execution_count": 224, "metadata": {}, "output_type": "execute_result" } @@ -6397,7 +6158,7 @@ }, { "cell_type": "code", - "execution_count": 214, + "execution_count": 225, "metadata": {}, "outputs": [], "source": [ @@ -6406,7 +6167,7 @@ }, { "cell_type": "code", - "execution_count": 215, + "execution_count": 226, "metadata": {}, "outputs": [ { @@ -6417,20 +6178,16 @@ "2012-03-08 -0.101728\n", "2012-03-09 0.443825\n", "2012-03-10 -1.816127\n", - "2012-03-11 -0.133840\n", - "2012-03-12 0.840769\n", - "2012-03-13 1.498535\n", - "2012-03-14 -0.079269\n", - "2012-03-15 -0.244387\n", + " ... \n", "2012-03-16 0.187639\n", "2012-03-17 -0.737377\n", "2012-03-18 -2.282972\n", "2012-03-19 -0.619518\n", "2012-03-20 1.777953\n", - "Freq: D, dtype: float64" + "Freq: D, Length: 15, dtype: float64" ] }, - "execution_count": 215, + "execution_count": 226, "metadata": {}, "output_type": "execute_result" } @@ -6441,7 +6198,7 @@ }, { "cell_type": "code", - "execution_count": 216, + "execution_count": 227, "metadata": {}, "outputs": [], "source": [ @@ -6450,7 +6207,7 @@ }, { "cell_type": "code", - "execution_count": 217, + "execution_count": 228, "metadata": {}, "outputs": [ { @@ -6461,20 +6218,16 @@ "2012-03-08 00:00:00+00:00 -0.101728\n", "2012-03-09 00:00:00+00:00 0.443825\n", "2012-03-10 00:00:00+00:00 -1.816127\n", - "2012-03-11 00:00:00+00:00 -0.133840\n", - "2012-03-12 00:00:00+00:00 0.840769\n", - "2012-03-13 00:00:00+00:00 1.498535\n", - "2012-03-14 00:00:00+00:00 -0.079269\n", - "2012-03-15 00:00:00+00:00 -0.244387\n", + " ... \n", "2012-03-16 00:00:00+00:00 0.187639\n", "2012-03-17 00:00:00+00:00 -0.737377\n", "2012-03-18 00:00:00+00:00 -2.282972\n", "2012-03-19 00:00:00+00:00 -0.619518\n", "2012-03-20 00:00:00+00:00 1.777953\n", - "Freq: D, dtype: float64" + "Freq: D, Length: 15, dtype: float64" ] }, - "execution_count": 217, + "execution_count": 228, "metadata": {}, "output_type": "execute_result" } @@ -6492,7 +6245,7 @@ }, { "cell_type": "code", - "execution_count": 218, + "execution_count": 229, "metadata": {}, "outputs": [ { @@ -6503,20 +6256,16 @@ "2012-03-07 19:00:00-05:00 -0.101728\n", "2012-03-08 19:00:00-05:00 0.443825\n", "2012-03-09 19:00:00-05:00 -1.816127\n", - "2012-03-10 19:00:00-05:00 -0.133840\n", - "2012-03-11 20:00:00-04:00 0.840769\n", - "2012-03-12 20:00:00-04:00 1.498535\n", - "2012-03-13 20:00:00-04:00 -0.079269\n", - "2012-03-14 20:00:00-04:00 -0.244387\n", + " ... \n", "2012-03-15 20:00:00-04:00 0.187639\n", "2012-03-16 20:00:00-04:00 -0.737377\n", "2012-03-17 20:00:00-04:00 -2.282972\n", "2012-03-18 20:00:00-04:00 -0.619518\n", "2012-03-19 20:00:00-04:00 1.777953\n", - "Freq: D, dtype: float64" + "Freq: D, Length: 15, dtype: float64" ] }, - "execution_count": 218, + "execution_count": 229, "metadata": {}, "output_type": "execute_result" } @@ -6545,7 +6294,7 @@ }, { "cell_type": "code", - "execution_count": 219, + "execution_count": 230, "metadata": {}, "outputs": [], "source": [ @@ -6554,7 +6303,7 @@ }, { "cell_type": "code", - "execution_count": 220, + "execution_count": 231, "metadata": {}, "outputs": [], "source": [ @@ -6563,7 +6312,7 @@ }, { "cell_type": "code", - "execution_count": 221, + "execution_count": 232, "metadata": {}, "outputs": [ { @@ -6572,7 +6321,7 @@ "Timestamp('2012-03-10 19:00:00-0500', tz='US/Eastern', freq='D')" ] }, - "execution_count": 221, + "execution_count": 232, "metadata": {}, "output_type": "execute_result" } @@ -6583,7 +6332,7 @@ }, { "cell_type": "code", - "execution_count": 222, + "execution_count": 233, "metadata": {}, "outputs": [ { @@ -6592,7 +6341,7 @@ "Timestamp('2012-03-11 01:00:00+0100', tz='Europe/Berlin', freq='D')" ] }, - "execution_count": 222, + "execution_count": 233, "metadata": {}, "output_type": "execute_result" } @@ -6603,7 +6352,7 @@ }, { "cell_type": "code", - "execution_count": 223, + "execution_count": 234, "metadata": {}, "outputs": [ { @@ -6612,7 +6361,7 @@ "True" ] }, - "execution_count": 223, + "execution_count": 234, "metadata": {}, "output_type": "execute_result" } @@ -6630,7 +6379,7 @@ }, { "cell_type": "code", - "execution_count": 224, + "execution_count": 235, "metadata": {}, "outputs": [ { @@ -6639,7 +6388,7 @@ "Timestamp('2012-03-10 19:00:00-0500', tz='US/Eastern', freq='D')" ] }, - "execution_count": 224, + "execution_count": 235, "metadata": {}, "output_type": "execute_result" } @@ -6650,7 +6399,7 @@ }, { "cell_type": "code", - "execution_count": 225, + "execution_count": 236, "metadata": {}, "outputs": [ { @@ -6659,7 +6408,7 @@ "Timestamp('2012-03-11 01:00:00+0100', tz='Europe/Berlin', freq='D')" ] }, - "execution_count": 225, + "execution_count": 236, "metadata": {}, "output_type": "execute_result" } @@ -6670,7 +6419,7 @@ }, { "cell_type": "code", - "execution_count": 226, + "execution_count": 237, "metadata": {}, "outputs": [ { @@ -6679,7 +6428,7 @@ "Timestamp('2012-03-11 01:00:00+0100', tz='Europe/Berlin')" ] }, - "execution_count": 226, + "execution_count": 237, "metadata": {}, "output_type": "execute_result" } @@ -6697,7 +6446,7 @@ }, { "cell_type": "code", - "execution_count": 227, + "execution_count": 238, "metadata": {}, "outputs": [ { @@ -6706,7 +6455,7 @@ "Timestamp('2012-03-11 00:00:00', freq='D')" ] }, - "execution_count": 227, + "execution_count": 238, "metadata": {}, "output_type": "execute_result" } @@ -6717,7 +6466,7 @@ }, { "cell_type": "code", - "execution_count": 228, + "execution_count": 239, "metadata": {}, "outputs": [ { @@ -6726,7 +6475,7 @@ "Timestamp('2012-03-11 00:00:00+0800', tz='Asia/Shanghai')" ] }, - "execution_count": 228, + "execution_count": 239, "metadata": {}, "output_type": "execute_result" } @@ -6744,7 +6493,7 @@ }, { "cell_type": "code", - "execution_count": 229, + "execution_count": 240, "metadata": {}, "outputs": [], "source": [ @@ -6753,7 +6502,7 @@ }, { "cell_type": "code", - "execution_count": 230, + "execution_count": 241, "metadata": {}, "outputs": [], "source": [ @@ -6762,7 +6511,7 @@ }, { "cell_type": "code", - "execution_count": 231, + "execution_count": 242, "metadata": {}, "outputs": [], "source": [ @@ -6771,7 +6520,7 @@ }, { "cell_type": "code", - "execution_count": 232, + "execution_count": 243, "metadata": {}, "outputs": [ { @@ -6782,20 +6531,16 @@ "2012-03-08 00:00:00+00:00 -0.203455\n", "2012-03-09 00:00:00+00:00 0.887650\n", "2012-03-10 00:00:00+00:00 -3.632254\n", - "2012-03-11 00:00:00+00:00 -0.267680\n", - "2012-03-12 00:00:00+00:00 1.681539\n", - "2012-03-13 00:00:00+00:00 2.997070\n", - "2012-03-14 00:00:00+00:00 -0.158539\n", - "2012-03-15 00:00:00+00:00 -0.488773\n", + " ... \n", "2012-03-16 00:00:00+00:00 0.375278\n", "2012-03-17 00:00:00+00:00 -1.474753\n", "2012-03-18 00:00:00+00:00 -4.565945\n", "2012-03-19 00:00:00+00:00 -1.239035\n", "2012-03-20 00:00:00+00:00 3.555907\n", - "Freq: D, dtype: float64" + "Freq: D, Length: 15, dtype: float64" ] }, - "execution_count": 232, + "execution_count": 243, "metadata": {}, "output_type": "execute_result" } @@ -6806,7 +6551,7 @@ }, { "cell_type": "code", - "execution_count": 233, + "execution_count": 244, "metadata": {}, "outputs": [ { @@ -6819,7 +6564,7 @@ " dtype='datetime64[ns, UTC]', freq='D')" ] }, - "execution_count": 233, + "execution_count": 244, "metadata": {}, "output_type": "execute_result" } @@ -6844,7 +6589,7 @@ }, { "cell_type": "code", - "execution_count": 234, + "execution_count": 245, "metadata": { "scrolled": false }, @@ -7438,7 +7183,6 @@ "US/Michigan\n", "US/Mountain\n", "US/Pacific\n", - "US/Pacific-New\n", "US/Samoa\n", "UTC\n", "Universal\n", @@ -7462,7 +7206,7 @@ }, { "cell_type": "code", - "execution_count": 235, + "execution_count": 246, "metadata": {}, "outputs": [ { @@ -7479,7 +7223,7 @@ " dtype='datetime64[ns, Europe/Berlin]', freq='D')" ] }, - "execution_count": 235, + "execution_count": 246, "metadata": {}, "output_type": "execute_result" } @@ -7490,7 +7234,7 @@ }, { "cell_type": "code", - "execution_count": 236, + "execution_count": 247, "metadata": { "scrolled": false }, @@ -7509,7 +7253,7 @@ " dtype='datetime64[ns, Etc/GMT-1]', freq='D')" ] }, - "execution_count": 236, + "execution_count": 247, "metadata": {}, "output_type": "execute_result" } @@ -7527,7 +7271,27 @@ }, { "cell_type": "code", - "execution_count": 237, + "execution_count": 248, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Timestamp('2018-11-19 13:25:58.653812')" + ] + }, + "execution_count": 248, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.Timestamp('now')" + ] + }, + { + "cell_type": "code", + "execution_count": 249, "metadata": { "scrolled": false }, @@ -7535,10 +7299,10 @@ { "data": { "text/plain": [ - "Timestamp('2018-02-27 13:45:58.756891-0500', tz='US/Eastern')" + "Timestamp('2018-11-19 16:25:58.667135-0500', tz='US/Eastern')" ] }, - "execution_count": 237, + "execution_count": 249, "metadata": {}, "output_type": "execute_result" } @@ -7549,16 +7313,16 @@ }, { "cell_type": "code", - "execution_count": 238, + "execution_count": 250, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Timestamp('2018-02-27 18:45:58.769158+0000', tz='UTC')" + "Timestamp('2018-11-19 21:25:58.679224+0000', tz='UTC')" ] }, - "execution_count": 238, + "execution_count": 250, "metadata": {}, "output_type": "execute_result" } @@ -7569,7 +7333,7 @@ }, { "cell_type": "code", - "execution_count": 239, + "execution_count": 251, "metadata": { "scrolled": false }, @@ -7577,10 +7341,10 @@ { "data": { "text/plain": [ - "Timestamp('2018-02-27 21:45:58.788558+0300', tz='Asia/Riyadh')" + "Timestamp('2018-11-20 00:25:58.688456+0300', tz='Asia/Riyadh')" ] }, - "execution_count": 239, + "execution_count": 251, "metadata": {}, "output_type": "execute_result" } @@ -7591,7 +7355,7 @@ }, { "cell_type": "code", - "execution_count": 240, + "execution_count": 252, "metadata": { "scrolled": false }, @@ -7599,10 +7363,10 @@ { "data": { "text/plain": [ - "Timestamp('2018-02-27 21:45:58.812796+0300', tz='Etc/GMT-3')" + "Timestamp('2018-11-20 00:25:58.699743+0300', tz='Etc/GMT-3')" ] }, - "execution_count": 240, + "execution_count": 252, "metadata": {}, "output_type": "execute_result" } @@ -7622,7 +7386,7 @@ }, { "cell_type": "code", - "execution_count": 241, + "execution_count": 253, "metadata": {}, "outputs": [], "source": [ @@ -7644,7 +7408,7 @@ }, { "cell_type": "code", - "execution_count": 242, + "execution_count": 254, "metadata": {}, "outputs": [ { @@ -7661,23 +7425,23 @@ }, { "cell_type": "code", - "execution_count": 243, + "execution_count": 255, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "1039" + "36" ] }, - "execution_count": 243, + "execution_count": 255, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# days from today until a given day\n", - "pd.Period('1/1/21', 'D') - pd.Period(pd.datetime.today(), 'D')" + "pd.Period('12/25/18', 'D') - pd.Period(pd.datetime.today(), 'D')" ] }, { @@ -7705,7 +7469,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.1" } }, "nbformat": 4, From 2ccc5bc899b86574c9c7d1a3a5588a43fbf5b734 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 20 Nov 2018 20:18:12 -0800 Subject: [PATCH 54/78] updates to lesson 16 --- lessons/lesson16.ipynb | 1263 +++++++++++++++++++++++++++------------- 1 file changed, 852 insertions(+), 411 deletions(-) diff --git a/lessons/lesson16.ipynb b/lessons/lesson16.ipynb index db7b4ae..76edf8f 100644 --- a/lessons/lesson16.ipynb +++ b/lessons/lesson16.ipynb @@ -7,6 +7,26 @@ "## Lesson 16 - Pandas Group Operations" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Readings\n", + "\n", + "* McKinney: [Chapter 10. Data Aggregation and Group Operations](http://proquest.safaribooksonline.com/book/programming/python/9781491957653/data-aggregation-and-group-operations/groupby_html)\n", + "\n", + "### Table of Contents\n", + "\n", + "* [Index operations](#index)\n", + "* [Groupby](#groupby)\n", + "* [Melt](#melt)\n", + "* [Pivot](#pivot)\n", + "* [Pivot table](#pivot-table)\n", + "* [Stack](#stack)\n", + "* [Unstack](#unstack)\n", + "* [Example with Earth Microbiome Project](#example-emp)" + ] + }, { "cell_type": "code", "execution_count": 1, @@ -36,7 +56,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### index.name, reset_index, inplace=True" + "\n", + "\n", + "### index.name, reset_index, inplace=True" ] }, { @@ -1005,6 +1027,18 @@ "cell_type": "code", "execution_count": 7, "metadata": {}, + "outputs": [], + "source": [ + "# delete column score_bash because it's mostly redundant with score_command\n", + "df.drop('score_bash', axis=1, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { @@ -1012,7 +1046,6 @@ "student object\n", "computer_has object\n", "computer_os object\n", - "score_bash object\n", "score_command object\n", "score_matlab object\n", "score_perl object\n", @@ -1021,7 +1054,7 @@ "dtype: object" ] }, - "execution_count": 7, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -1033,19 +1066,19 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# convert score columns to integers\n", - "score_cols = ['score_bash', 'score_command', 'score_matlab', 'score_perl',\n", + "score_cols = ['score_command', 'score_matlab', 'score_perl',\n", " 'score_python', 'score_r']\n", "df[score_cols] = df[score_cols].astype(int)" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -1054,7 +1087,6 @@ "student object\n", "computer_has object\n", "computer_os object\n", - "score_bash int64\n", "score_command int64\n", "score_matlab int64\n", "score_perl int64\n", @@ -1063,7 +1095,7 @@ "dtype: object" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -1077,23 +1109,25 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### groupby\n", + "\n", + "\n", + "### groupby\n", "\n", "Group series using a series of columns or a mapper (dict or key function, apply given function to group, return result as series)." ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -1106,7 +1140,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -1130,7 +1164,6 @@ " \n", " \n", " \n", - " score_bash\n", " score_command\n", " score_matlab\n", " score_perl\n", @@ -1144,13 +1177,11 @@ " \n", " \n", " \n", - " \n", " \n", " \n", " \n", " \n", " Linux\n", - " 1.500000\n", " 1.500\n", " 0.5\n", " 0.500000\n", @@ -1159,7 +1190,6 @@ " \n", " \n", " Mac\n", - " 1.125000\n", " 1.625\n", " 2.0\n", " 0.000000\n", @@ -1168,7 +1198,6 @@ " \n", " \n", " Windows\n", - " 0.666667\n", " 1.000\n", " 1.0\n", " 0.333333\n", @@ -1180,20 +1209,14 @@ "" ], "text/plain": [ - " score_bash score_command score_matlab score_perl \\\n", - "computer_os \n", - "Linux 1.500000 1.500 0.5 0.500000 \n", - "Mac 1.125000 1.625 2.0 0.000000 \n", - "Windows 0.666667 1.000 1.0 0.333333 \n", - "\n", - " score_python score_r \n", - "computer_os \n", - "Linux 1.000000 1.000000 \n", - "Mac 0.375000 0.750000 \n", - "Windows 1.333333 1.666667 " + " score_command score_matlab score_perl score_python score_r\n", + "computer_os \n", + "Linux 1.500 0.5 0.500000 1.000000 1.000000\n", + "Mac 1.625 2.0 0.000000 0.375000 0.750000\n", + "Windows 1.000 1.0 0.333333 1.333333 1.666667" ] }, - "execution_count": 11, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -1205,7 +1228,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -1229,7 +1252,6 @@ " \n", " \n", " \n", - " score_bash\n", " score_command\n", " score_matlab\n", " score_perl\n", @@ -1243,7 +1265,6 @@ " \n", " \n", " \n", - " \n", " \n", " \n", " \n", @@ -1252,13 +1273,11 @@ " 0.707107\n", " 0.707107\n", " 0.707107\n", - " 0.707107\n", " 0.000000\n", " 1.414214\n", " \n", " \n", " Mac\n", - " 0.991031\n", " 0.916125\n", " 1.195229\n", " 0.000000\n", @@ -1267,7 +1286,6 @@ " \n", " \n", " Windows\n", - " 1.154701\n", " 1.000000\n", " 1.000000\n", " 0.577350\n", @@ -1279,20 +1297,14 @@ "" ], "text/plain": [ - " score_bash score_command score_matlab score_perl \\\n", - "computer_os \n", - "Linux 0.707107 0.707107 0.707107 0.707107 \n", - "Mac 0.991031 0.916125 1.195229 0.000000 \n", - "Windows 1.154701 1.000000 1.000000 0.577350 \n", - "\n", - " score_python score_r \n", - "computer_os \n", - "Linux 0.000000 1.414214 \n", - "Mac 0.517549 1.035098 \n", - "Windows 1.154701 0.577350 " + " score_command score_matlab score_perl score_python score_r\n", + "computer_os \n", + "Linux 0.707107 0.707107 0.707107 0.000000 1.414214\n", + "Mac 0.916125 1.195229 0.000000 0.517549 1.035098\n", + "Windows 1.000000 1.000000 0.577350 1.154701 0.577350" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1304,7 +1316,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": { "scrolled": true }, @@ -1332,7 +1344,6 @@ " \n", " student\n", " computer_has\n", - " score_bash\n", " score_command\n", " score_matlab\n", " score_perl\n", @@ -1348,7 +1359,6 @@ " \n", " \n", " \n", - " \n", " \n", " \n", " \n", @@ -1361,7 +1371,6 @@ " 2\n", " 2\n", " 2\n", - " 2\n", " \n", " \n", " Mac\n", @@ -1372,7 +1381,6 @@ " 8\n", " 8\n", " 8\n", - " 8\n", " \n", " \n", " Windows\n", @@ -1383,27 +1391,26 @@ " 3\n", " 3\n", " 3\n", - " 3\n", " \n", " \n", "\n", "" ], "text/plain": [ - " student computer_has score_bash score_command score_matlab \\\n", + " student computer_has score_command score_matlab score_perl \\\n", "computer_os \n", - "Linux 2 2 2 2 2 \n", - "Mac 8 8 8 8 8 \n", - "Windows 3 3 3 3 3 \n", + "Linux 2 2 2 2 2 \n", + "Mac 8 8 8 8 8 \n", + "Windows 3 3 3 3 3 \n", "\n", - " score_perl score_python score_r \n", - "computer_os \n", - "Linux 2 2 2 \n", - "Mac 8 8 8 \n", - "Windows 3 3 3 " + " score_python score_r \n", + "computer_os \n", + "Linux 2 2 \n", + "Mac 8 8 \n", + "Windows 3 3 " ] }, - "execution_count": 13, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1415,7 +1422,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -1440,7 +1447,6 @@ " \n", " \n", " \n", - " score_command\n", " score_matlab\n", " score_perl\n", " score_python\n", @@ -1448,8 +1454,7 @@ " \n", " \n", " computer_os\n", - " score_bash\n", - " \n", + " score_command\n", " \n", " \n", " \n", @@ -1461,15 +1466,13 @@ " Linux\n", " 1\n", " 1.0\n", - " 1.00\n", " 0.0\n", " 1.00\n", " 0.0\n", " \n", " \n", " 2\n", - " 2.0\n", - " 0.00\n", + " 0.0\n", " 1.0\n", " 1.00\n", " 2.0\n", @@ -1478,48 +1481,49 @@ " Mac\n", " 0\n", " 1.0\n", - " 2.00\n", " 0.0\n", " 0.00\n", - " 1.0\n", + " 0.0\n", " \n", " \n", " 1\n", " 1.5\n", - " 2.25\n", " 0.0\n", - " 0.25\n", - " 0.5\n", + " 0.50\n", + " 1.0\n", " \n", " \n", " 2\n", - " 2.0\n", - " 3.00\n", - " 0.0\n", - " 1.00\n", + " 3.0\n", " 0.0\n", + " 0.25\n", + " 0.5\n", " \n", " \n", " 3\n", - " 3.0\n", - " 0.00\n", + " 0.0\n", " 0.0\n", " 1.00\n", " 2.0\n", " \n", " \n", - " Windows\n", + " Windows\n", " 0\n", - " 0.5\n", - " 1.50\n", + " 2.0\n", " 0.0\n", - " 1.00\n", - " 1.5\n", + " 0.00\n", + " 2.0\n", + " \n", + " \n", + " 1\n", + " 1.0\n", + " 0.0\n", + " 2.00\n", + " 1.0\n", " \n", " \n", " 2\n", - " 2.0\n", - " 0.00\n", + " 0.0\n", " 1.0\n", " 2.00\n", " 2.0\n", @@ -1529,30 +1533,20 @@ "" ], "text/plain": [ - " score_command score_matlab score_perl score_python \\\n", - "computer_os score_bash \n", - "Linux 1 1.0 1.00 0.0 1.00 \n", - " 2 2.0 0.00 1.0 1.00 \n", - "Mac 0 1.0 2.00 0.0 0.00 \n", - " 1 1.5 2.25 0.0 0.25 \n", - " 2 2.0 3.00 0.0 1.00 \n", - " 3 3.0 0.00 0.0 1.00 \n", - "Windows 0 0.5 1.50 0.0 1.00 \n", - " 2 2.0 0.00 1.0 2.00 \n", - "\n", - " score_r \n", - "computer_os score_bash \n", - "Linux 1 0.0 \n", - " 2 2.0 \n", - "Mac 0 1.0 \n", - " 1 0.5 \n", - " 2 0.0 \n", - " 3 2.0 \n", - "Windows 0 1.5 \n", - " 2 2.0 " + " score_matlab score_perl score_python score_r\n", + "computer_os score_command \n", + "Linux 1 1.0 0.0 1.00 0.0\n", + " 2 0.0 1.0 1.00 2.0\n", + "Mac 0 1.0 0.0 0.00 0.0\n", + " 1 1.5 0.0 0.50 1.0\n", + " 2 3.0 0.0 0.25 0.5\n", + " 3 0.0 0.0 1.00 2.0\n", + "Windows 0 2.0 0.0 0.00 2.0\n", + " 1 1.0 0.0 2.00 1.0\n", + " 2 0.0 1.0 2.00 2.0" ] }, - "execution_count": 14, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1560,30 +1554,30 @@ "source": [ "# we can group by multiple columns, and we can apply a function in-line\n", "# and we can save it as a new dataframe\n", - "comp_bash = df.groupby(['computer_os','score_bash']).mean()\n", - "comp_bash" + "comp_cmd = df.groupby(['computer_os','score_command']).mean()\n", + "comp_cmd" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "MultiIndex(levels=[['Linux', 'Mac', 'Windows'], [0, 1, 2, 3]],\n", - " labels=[[0, 0, 1, 1, 1, 1, 2, 2], [1, 2, 0, 1, 2, 3, 0, 2]],\n", - " names=['computer_os', 'score_bash'])" + " labels=[[0, 0, 1, 1, 1, 1, 2, 2, 2], [1, 2, 0, 1, 2, 3, 0, 1, 2]],\n", + " names=['computer_os', 'score_command'])" ] }, - "execution_count": 15, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "comp_bash.index" + "comp_cmd.index" ] }, { @@ -1595,7 +1589,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -1620,7 +1614,6 @@ " \n", " \n", " computer_os\n", - " score_bash\n", " score_command\n", " score_matlab\n", " score_perl\n", @@ -1634,7 +1627,6 @@ " Linux\n", " 1\n", " 1.0\n", - " 1.00\n", " 0.0\n", " 1.00\n", " 0.0\n", @@ -1643,8 +1635,7 @@ " 1\n", " Linux\n", " 2\n", - " 2.0\n", - " 0.00\n", + " 0.0\n", " 1.0\n", " 1.00\n", " 2.0\n", @@ -1654,37 +1645,33 @@ " Mac\n", " 0\n", " 1.0\n", - " 2.00\n", " 0.0\n", " 0.00\n", - " 1.0\n", + " 0.0\n", " \n", " \n", " 3\n", " Mac\n", " 1\n", " 1.5\n", - " 2.25\n", " 0.0\n", - " 0.25\n", - " 0.5\n", + " 0.50\n", + " 1.0\n", " \n", " \n", " 4\n", " Mac\n", " 2\n", - " 2.0\n", - " 3.00\n", - " 0.0\n", - " 1.00\n", + " 3.0\n", " 0.0\n", + " 0.25\n", + " 0.5\n", " \n", " \n", " 5\n", " Mac\n", " 3\n", - " 3.0\n", - " 0.00\n", + " 0.0\n", " 0.0\n", " 1.00\n", " 2.0\n", @@ -1693,18 +1680,25 @@ " 6\n", " Windows\n", " 0\n", - " 0.5\n", - " 1.50\n", + " 2.0\n", " 0.0\n", - " 1.00\n", - " 1.5\n", + " 0.00\n", + " 2.0\n", " \n", " \n", " 7\n", " Windows\n", + " 1\n", + " 1.0\n", + " 0.0\n", + " 2.00\n", + " 1.0\n", + " \n", + " \n", + " 8\n", + " Windows\n", " 2\n", - " 2.0\n", - " 0.00\n", + " 0.0\n", " 1.0\n", " 2.00\n", " 2.0\n", @@ -1714,62 +1708,55 @@ "" ], "text/plain": [ - " computer_os score_bash score_command score_matlab score_perl \\\n", - "0 Linux 1 1.0 1.00 0.0 \n", - "1 Linux 2 2.0 0.00 1.0 \n", - "2 Mac 0 1.0 2.00 0.0 \n", - "3 Mac 1 1.5 2.25 0.0 \n", - "4 Mac 2 2.0 3.00 0.0 \n", - "5 Mac 3 3.0 0.00 0.0 \n", - "6 Windows 0 0.5 1.50 0.0 \n", - "7 Windows 2 2.0 0.00 1.0 \n", - "\n", - " score_python score_r \n", - "0 1.00 0.0 \n", - "1 1.00 2.0 \n", - "2 0.00 1.0 \n", - "3 0.25 0.5 \n", - "4 1.00 0.0 \n", - "5 1.00 2.0 \n", - "6 1.00 1.5 \n", - "7 2.00 2.0 " + " computer_os score_command score_matlab score_perl score_python score_r\n", + "0 Linux 1 1.0 0.0 1.00 0.0\n", + "1 Linux 2 0.0 1.0 1.00 2.0\n", + "2 Mac 0 1.0 0.0 0.00 0.0\n", + "3 Mac 1 1.5 0.0 0.50 1.0\n", + "4 Mac 2 3.0 0.0 0.25 0.5\n", + "5 Mac 3 0.0 0.0 1.00 2.0\n", + "6 Windows 0 2.0 0.0 0.00 2.0\n", + "7 Windows 1 1.0 0.0 2.00 1.0\n", + "8 Windows 2 0.0 1.0 2.00 2.0" ] }, - "execution_count": 16, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "comp_bash2 = df.groupby(['computer_os','score_bash'], as_index=False).mean()\n", - "comp_bash2" + "comp_cmd2 = df.groupby(['computer_os','score_command'], as_index=False).mean()\n", + "comp_cmd2" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Int64Index([0, 1, 2, 3, 4, 5, 6, 7], dtype='int64')" + "Int64Index([0, 1, 2, 3, 4, 5, 6, 7, 8], dtype='int64')" ] }, - "execution_count": 17, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "comp_bash2.index" + "comp_cmd2.index" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### melt\n", + "\n", + "\n", + "### melt\n", "\n", "Massage a DataFrame into a format where one or more columns are identifier variables (`id_vars`), while all other\n", "columns, considered measured variables (`value_vars`), are \"unpivoted\" to the row axis, leaving just two non-identifier columns, 'variable' and 'value'." @@ -1777,7 +1764,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -1804,7 +1791,6 @@ " student\n", " computer_has\n", " computer_os\n", - " score_bash\n", " score_command\n", " score_matlab\n", " score_perl\n", @@ -1823,14 +1809,12 @@ " 0\n", " 0\n", " 0\n", - " 0\n", " \n", " \n", " 1\n", " 13001\n", " Y\n", " Mac\n", - " 1\n", " 2\n", " 3\n", " 0\n", @@ -1842,7 +1826,6 @@ " 60985\n", " Y\n", " Windows\n", - " 0\n", " 1\n", " 1\n", " 0\n", @@ -1855,7 +1838,6 @@ " Y\n", " Mac\n", " 3\n", - " 3\n", " 0\n", " 0\n", " 1\n", @@ -1867,7 +1849,6 @@ " Y\n", " Windows\n", " 2\n", - " 2\n", " 0\n", " 1\n", " 2\n", @@ -1880,7 +1861,6 @@ " Mac\n", " 1\n", " 1\n", - " 1\n", " 0\n", " 0\n", " 0\n", @@ -1890,7 +1870,6 @@ " 19366\n", " Y\n", " Mac\n", - " 0\n", " 2\n", " 3\n", " 0\n", @@ -1903,7 +1882,6 @@ " Y\n", " Mac\n", " 2\n", - " 2\n", " 3\n", " 0\n", " 1\n", @@ -1915,7 +1893,6 @@ " Y\n", " Windows\n", " 0\n", - " 0\n", " 2\n", " 0\n", " 0\n", @@ -1926,7 +1903,6 @@ " 31556\n", " Y\n", " Mac\n", - " 1\n", " 2\n", " 3\n", " 0\n", @@ -1939,7 +1915,6 @@ " Y\n", " Mac\n", " 1\n", - " 1\n", " 2\n", " 0\n", " 1\n", @@ -1952,7 +1927,6 @@ " Linux\n", " 1\n", " 1\n", - " 1\n", " 0\n", " 1\n", " 0\n", @@ -1963,7 +1937,6 @@ " Y\n", " Mac\n", " 0\n", - " 0\n", " 1\n", " 0\n", " 0\n", @@ -1975,7 +1948,6 @@ " Y\n", " Linux\n", " 2\n", - " 2\n", " 0\n", " 1\n", " 1\n", @@ -1986,40 +1958,40 @@ "" ], "text/plain": [ - " student computer_has computer_os score_bash score_command score_matlab \\\n", - "0 10000 N NaN 0 0 0 \n", - "1 13001 Y Mac 1 2 3 \n", - "2 60985 Y Windows 0 1 1 \n", - "3 43309 Y Mac 3 3 0 \n", - "4 89785 Y Windows 2 2 0 \n", - "5 57688 Y Mac 1 1 1 \n", - "6 19366 Y Mac 0 2 3 \n", - "7 97775 Y Mac 2 2 3 \n", - "8 22384 Y Windows 0 0 2 \n", - "9 31556 Y Mac 1 2 3 \n", - "10 70964 Y Mac 1 1 2 \n", - "11 70155 Y Linux 1 1 1 \n", - "12 47724 Y Mac 0 0 1 \n", - "13 37602 Y Linux 2 2 0 \n", + " student computer_has computer_os score_command score_matlab score_perl \\\n", + "0 10000 N NaN 0 0 0 \n", + "1 13001 Y Mac 2 3 0 \n", + "2 60985 Y Windows 1 1 0 \n", + "3 43309 Y Mac 3 0 0 \n", + "4 89785 Y Windows 2 0 1 \n", + "5 57688 Y Mac 1 1 0 \n", + "6 19366 Y Mac 2 3 0 \n", + "7 97775 Y Mac 2 3 0 \n", + "8 22384 Y Windows 0 2 0 \n", + "9 31556 Y Mac 2 3 0 \n", + "10 70964 Y Mac 1 2 0 \n", + "11 70155 Y Linux 1 1 0 \n", + "12 47724 Y Mac 0 1 0 \n", + "13 37602 Y Linux 2 0 1 \n", "\n", - " score_perl score_python score_r \n", - "0 0 0 0 \n", - "1 0 0 0 \n", - "2 0 2 1 \n", - "3 0 1 2 \n", - "4 1 2 2 \n", - "5 0 0 0 \n", - "6 0 0 2 \n", - "7 0 1 0 \n", - "8 0 0 2 \n", - "9 0 0 0 \n", - "10 0 1 2 \n", - "11 0 1 0 \n", - "12 0 0 0 \n", - "13 1 1 2 " + " score_python score_r \n", + "0 0 0 \n", + "1 0 0 \n", + "2 2 1 \n", + "3 1 2 \n", + "4 2 2 \n", + "5 0 0 \n", + "6 0 2 \n", + "7 1 0 \n", + "8 0 2 \n", + "9 0 0 \n", + "10 1 2 \n", + "11 1 0 \n", + "12 0 0 \n", + "13 1 2 " ] }, - "execution_count": 18, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -2030,7 +2002,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": { "scrolled": false }, @@ -2067,71 +2039,71 @@ " 0\n", " N\n", " NaN\n", - " score_bash\n", + " score_command\n", " 0\n", " \n", " \n", " 1\n", " Y\n", " Mac\n", - " score_bash\n", - " 1\n", + " score_command\n", + " 2\n", " \n", " \n", " 2\n", " Y\n", " Windows\n", - " score_bash\n", - " 0\n", + " score_command\n", + " 1\n", " \n", " \n", " 3\n", " Y\n", " Mac\n", - " score_bash\n", + " score_command\n", " 3\n", " \n", " \n", " 4\n", " Y\n", " Windows\n", - " score_bash\n", + " score_command\n", " 2\n", " \n", " \n", " 5\n", " Y\n", " Mac\n", - " score_bash\n", + " score_command\n", " 1\n", " \n", " \n", " 6\n", " Y\n", " Mac\n", - " score_bash\n", - " 0\n", + " score_command\n", + " 2\n", " \n", " \n", " 7\n", " Y\n", " Mac\n", - " score_bash\n", + " score_command\n", " 2\n", " \n", " \n", " 8\n", " Y\n", " Windows\n", - " score_bash\n", + " score_command\n", " 0\n", " \n", " \n", " 9\n", " Y\n", " Mac\n", - " score_bash\n", - " 1\n", + " score_command\n", + " 2\n", " \n", " \n", " ...\n", @@ -2141,70 +2113,70 @@ " ...\n", " \n", " \n", - " 74\n", + " 60\n", " Y\n", " Windows\n", " score_r\n", " 2\n", " \n", " \n", - " 75\n", + " 61\n", " Y\n", " Mac\n", " score_r\n", " 0\n", " \n", " \n", - " 76\n", + " 62\n", " Y\n", " Mac\n", " score_r\n", " 2\n", " \n", " \n", - " 77\n", + " 63\n", " Y\n", " Mac\n", " score_r\n", " 0\n", " \n", " \n", - " 78\n", + " 64\n", " Y\n", " Windows\n", " score_r\n", " 2\n", " \n", " \n", - " 79\n", + " 65\n", " Y\n", " Mac\n", " score_r\n", " 0\n", " \n", " \n", - " 80\n", + " 66\n", " Y\n", " Mac\n", " score_r\n", " 2\n", " \n", " \n", - " 81\n", + " 67\n", " Y\n", " Linux\n", " score_r\n", " 0\n", " \n", " \n", - " 82\n", + " 68\n", " Y\n", " Mac\n", " score_r\n", " 0\n", " \n", " \n", - " 83\n", + " 69\n", " Y\n", " Linux\n", " score_r\n", @@ -2212,37 +2184,37 @@ " \n", " \n", "\n", - "

84 rows Γ— 4 columns

\n", + "

70 rows Γ— 4 columns

\n", "" ], "text/plain": [ - " computer_has computer_os variable value\n", - "0 N NaN score_bash 0\n", - "1 Y Mac score_bash 1\n", - "2 Y Windows score_bash 0\n", - "3 Y Mac score_bash 3\n", - "4 Y Windows score_bash 2\n", - "5 Y Mac score_bash 1\n", - "6 Y Mac score_bash 0\n", - "7 Y Mac score_bash 2\n", - "8 Y Windows score_bash 0\n", - "9 Y Mac score_bash 1\n", - ".. ... ... ... ...\n", - "74 Y Windows score_r 2\n", - "75 Y Mac score_r 0\n", - "76 Y Mac score_r 2\n", - "77 Y Mac score_r 0\n", - "78 Y Windows score_r 2\n", - "79 Y Mac score_r 0\n", - "80 Y Mac score_r 2\n", - "81 Y Linux score_r 0\n", - "82 Y Mac score_r 0\n", - "83 Y Linux score_r 2\n", + " computer_has computer_os variable value\n", + "0 N NaN score_command 0\n", + "1 Y Mac score_command 2\n", + "2 Y Windows score_command 1\n", + "3 Y Mac score_command 3\n", + "4 Y Windows score_command 2\n", + "5 Y Mac score_command 1\n", + "6 Y Mac score_command 2\n", + "7 Y Mac score_command 2\n", + "8 Y Windows score_command 0\n", + "9 Y Mac score_command 2\n", + ".. ... ... ... ...\n", + "60 Y Windows score_r 2\n", + "61 Y Mac score_r 0\n", + "62 Y Mac score_r 2\n", + "63 Y Mac score_r 0\n", + "64 Y Windows score_r 2\n", + "65 Y Mac score_r 0\n", + "66 Y Mac score_r 2\n", + "67 Y Linux score_r 0\n", + "68 Y Mac score_r 0\n", + "69 Y Linux score_r 2\n", "\n", - "[84 rows x 4 columns]" + "[70 rows x 4 columns]" ] }, - "execution_count": 19, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -2254,19 +2226,29 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "metadata": { "scrolled": true }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke/miniconda3/envs/python3/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -2301,9 +2285,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### pivot\n", + "\n", "\n", - "Reshape data (produce a \"pivot\" table) based on column values. Uses unique values from index / columns to form axes of the resulting DataFrame.\n", + "### pivot\n", + "\n", + "Reshape dataframe from long format to wide format. That is, produce a \"pivot\" table based on column values. Uses unique values from index / columns to form axes of the resulting DataFrame.\n", "\n", "`df.pivot(index=None, columns=None, values=None)`\n", "\n", @@ -2314,7 +2300,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -2338,70 +2324,70 @@ " \n", " \n", " \n", + " foo\n", " bar\n", " baz\n", " faz\n", - " foo\n", " \n", " \n", " \n", " \n", " 0\n", + " one\n", " A\n", " 1\n", " 1\n", - " one\n", " \n", " \n", " 1\n", + " one\n", " B\n", " 2\n", " 2\n", - " one\n", " \n", " \n", " 2\n", + " one\n", " C\n", " 3\n", " 3\n", - " one\n", " \n", " \n", " 3\n", + " two\n", " A\n", " 4\n", " 4\n", - " two\n", " \n", " \n", " 4\n", + " two\n", " B\n", " 5\n", " 5\n", - " two\n", " \n", " \n", " 5\n", + " two\n", " C\n", " 6\n", " 6\n", - " two\n", " \n", " \n", "\n", "" ], "text/plain": [ - " bar baz faz foo\n", - "0 A 1 1 one\n", - "1 B 2 2 one\n", - "2 C 3 3 one\n", - "3 A 4 4 two\n", - "4 B 5 5 two\n", - "5 C 6 6 two" + " foo bar baz faz\n", + "0 one A 1 1\n", + "1 one B 2 2\n", + "2 one C 3 3\n", + "3 two A 4 4\n", + "4 two B 5 5\n", + "5 two C 6 6" ] }, - "execution_count": 22, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -2418,7 +2404,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -2477,7 +2463,7 @@ "two 4 5 6" ] }, - "execution_count": 23, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -2488,7 +2474,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -2569,7 +2555,7 @@ "two 4 5 6 4 5 6" ] }, - "execution_count": 24, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -2581,7 +2567,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -2640,7 +2626,7 @@ "two 4 5 6" ] }, - "execution_count": 25, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -2651,7 +2637,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -2662,7 +2648,7 @@ " names=[None, 'bar'])" ] }, - "execution_count": 26, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -2674,7 +2660,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -2683,7 +2669,7 @@ "Index(['one', 'two'], dtype='object', name='foo')" ] }, - "execution_count": 27, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -2695,7 +2681,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -2729,73 +2715,73 @@ " 0\n", " 2000-01-03\n", " A\n", - " 1.236941\n", + " 0.470199\n", " \n", " \n", " 1\n", " 2000-01-04\n", " A\n", - " -1.152565\n", + " -0.114599\n", " \n", " \n", " 2\n", " 2000-01-05\n", " A\n", - " -1.002861\n", + " 1.103833\n", " \n", " \n", " 3\n", " 2000-01-03\n", " B\n", - " 0.342250\n", + " -1.070900\n", " \n", " \n", " 4\n", " 2000-01-04\n", " B\n", - " -1.126330\n", + " 1.420852\n", " \n", " \n", " 5\n", " 2000-01-05\n", " B\n", - " 1.473337\n", + " -0.483171\n", " \n", " \n", " 6\n", " 2000-01-03\n", " C\n", - " -0.503997\n", + " -0.311440\n", " \n", " \n", " 7\n", " 2000-01-04\n", " C\n", - " 0.671134\n", + " -0.039308\n", " \n", " \n", " 8\n", " 2000-01-05\n", " C\n", - " 1.230723\n", + " 0.441237\n", " \n", " \n", " 9\n", " 2000-01-03\n", " D\n", - " 0.159253\n", + " -1.614109\n", " \n", " \n", " 10\n", " 2000-01-04\n", " D\n", - " 0.786736\n", + " 0.014365\n", " \n", " \n", " 11\n", " 2000-01-05\n", " D\n", - " -1.243430\n", + " -0.854510\n", " \n", " \n", "\n", @@ -2803,21 +2789,21 @@ ], "text/plain": [ " date variable value\n", - "0 2000-01-03 A 1.236941\n", - "1 2000-01-04 A -1.152565\n", - "2 2000-01-05 A -1.002861\n", - "3 2000-01-03 B 0.342250\n", - "4 2000-01-04 B -1.126330\n", - "5 2000-01-05 B 1.473337\n", - "6 2000-01-03 C -0.503997\n", - "7 2000-01-04 C 0.671134\n", - "8 2000-01-05 C 1.230723\n", - "9 2000-01-03 D 0.159253\n", - "10 2000-01-04 D 0.786736\n", - "11 2000-01-05 D -1.243430" + "0 2000-01-03 A 0.470199\n", + "1 2000-01-04 A -0.114599\n", + "2 2000-01-05 A 1.103833\n", + "3 2000-01-03 B -1.070900\n", + "4 2000-01-04 B 1.420852\n", + "5 2000-01-05 B -0.483171\n", + "6 2000-01-03 C -0.311440\n", + "7 2000-01-04 C -0.039308\n", + "8 2000-01-05 C 0.441237\n", + "9 2000-01-03 D -1.614109\n", + "10 2000-01-04 D 0.014365\n", + "11 2000-01-05 D -0.854510" ] }, - "execution_count": 28, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -2845,7 +2831,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 30, "metadata": { "scrolled": true }, @@ -2881,19 +2867,19 @@ " 0\n", " 2000-01-03\n", " A\n", - " 1.236941\n", + " 0.470199\n", " \n", " \n", " 1\n", " 2000-01-04\n", " A\n", - " -1.152565\n", + " -0.114599\n", " \n", " \n", " 2\n", " 2000-01-05\n", " A\n", - " -1.002861\n", + " 1.103833\n", " \n", " \n", "\n", @@ -2901,12 +2887,12 @@ ], "text/plain": [ " date variable value\n", - "0 2000-01-03 A 1.236941\n", - "1 2000-01-04 A -1.152565\n", - "2 2000-01-05 A -1.002861" + "0 2000-01-03 A 0.470199\n", + "1 2000-01-04 A -0.114599\n", + "2 2000-01-05 A 1.103833" ] }, - "execution_count": 29, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -2924,7 +2910,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "metadata": { "scrolled": true }, @@ -2966,24 +2952,24 @@ " \n", " \n", " 2000-01-03\n", - " 1.236941\n", - " 0.342250\n", - " -0.503997\n", - " 0.159253\n", + " 0.470199\n", + " -1.070900\n", + " -0.311440\n", + " -1.614109\n", " \n", " \n", " 2000-01-04\n", - " -1.152565\n", - " -1.126330\n", - " 0.671134\n", - " 0.786736\n", + " -0.114599\n", + " 1.420852\n", + " -0.039308\n", + " 0.014365\n", " \n", " \n", " 2000-01-05\n", - " -1.002861\n", - " 1.473337\n", - " 1.230723\n", - " -1.243430\n", + " 1.103833\n", + " -0.483171\n", + " 0.441237\n", + " -0.854510\n", " \n", " \n", "\n", @@ -2992,12 +2978,12 @@ "text/plain": [ "variable A B C D\n", "date \n", - "2000-01-03 1.236941 0.342250 -0.503997 0.159253\n", - "2000-01-04 -1.152565 -1.126330 0.671134 0.786736\n", - "2000-01-05 -1.002861 1.473337 1.230723 -1.243430" + "2000-01-03 0.470199 -1.070900 -0.311440 -1.614109\n", + "2000-01-04 -0.114599 1.420852 -0.039308 0.014365\n", + "2000-01-05 1.103833 -0.483171 0.441237 -0.854510" ] }, - "execution_count": 30, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -3010,17 +2996,19 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 32, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -3039,32 +3027,400 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### pivot_table\n", + "\n", + "\n", + "### pivot_table\n", "\n", - "Create a spreadsheet-style pivot table as a DataFrame. The levels in the pivot table will be stored in MultiIndex objects (hierarchical indexes) on the index and columns of the result DataFrame. Generalization of pivot that can handle duplicate values for one index/column pair.\n", + "Create a spreadsheet-style pivot table as a DataFrame. The levels in the pivot table will be stored in MultiIndex objects (hierarchical indexes) on the index and columns of the result DataFrame. Similar to `pivot`, it is a generalization of pivot that can handle duplicate values for one index/column pair.\n", "\n", "`df.pivot_table(values=None, index=None, columns=None, aggfunc='mean', fill_value=None, margins=False, dropna=True, margins_name='All')`" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 33, "metadata": {}, - "source": [ - "#### stack\n", - "\n", - "Pivot a level of the column labels (inverse operation from `unstack`).\n", - "\n", - "`df.stack(level=-1, dropna=True)`\n", - "\n", - "* `level`: int, string, or list of these, default last level. Level(s) to stack, can pass level name\n", - "* `dropna`: boolean, default True. Whether to drop rows in the resulting Frame/Series with no valid values" - ] + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " A B C D\n", + "0 foo one small 1\n", + "1 foo one large 2\n", + "2 foo one large 2\n", + "3 foo two small 3\n", + "4 foo two small 3\n", + "5 bar one large 4\n", + "6 bar one small 5\n", + "7 bar two small 6\n", + "8 bar two large 7" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.DataFrame({\"A\": [\"foo\", \"foo\", \"foo\", \"foo\", \"foo\",\n", + " \"bar\", \"bar\", \"bar\", \"bar\"],\n", + " \"B\": [\"one\", \"one\", \"one\", \"two\", \"two\",\n", + " \"one\", \"one\", \"two\", \"two\"],\n", + " \"C\": [\"small\", \"large\", \"large\", \"small\",\n", + " \"small\", \"large\", \"small\", \"small\",\n", + " \"large\"],\n", + " \"D\": [1, 2, 2, 3, 3, 4, 5, 6, 7]})\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + "C large small\n", + "A B \n", + "bar one 4.0 5.0\n", + " two 7.0 6.0\n", + "foo one 4.0 1.0\n", + " two NaN 6.0" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "table = pd.pivot_table(df, values='D', index=['A', 'B'],\n", + " columns=['C'], aggfunc=np.sum)\n", + "table" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "### stack\n", + "\n", + "Pivot a level of the column labels (inverse operation from `unstack`).\n", + "\n", + "`df.stack(level=-1, dropna=True)`\n", + "\n", + "* `level`: int, string, or list of these, default last level. Level(s) to stack, can pass level name\n", + "* `dropna`: boolean, default True. Whether to drop rows in the resulting Frame/Series with no valid values" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " feature1 feature2 feature3\n", + "sample1 7 0 8\n", + "sample2 2 8 4\n", + "sample3 1 4 3\n", + "sample4 4 8 2\n", + "sample5 8 7 8" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2 = pd.DataFrame(np.random.randint(0, 9, size=(5,3)),\n", + " index=('sample1', 'sample2', 'sample3', 'sample4', 'sample5'),\n", + " columns=('feature1', 'feature2', 'feature3'))\n", + "df2" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "sample1 feature1 7\n", + " feature2 0\n", + " feature3 8\n", + "sample2 feature1 2\n", + " feature2 8\n", + " feature3 4\n", + "sample3 feature1 1\n", + " feature2 4\n", + " feature3 3\n", + "sample4 feature1 4\n", + " feature2 8\n", + " feature3 2\n", + "sample5 feature1 8\n", + " feature2 7\n", + " feature3 8\n", + "dtype: int64" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2_stack = df2.stack()\n", + "df2_stack" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "feature1 7\n", + "feature2 0\n", + "feature3 8\n", + "dtype: int64" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2_stack['sample1']" + ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### unstack\n", + "\n", + "\n", + "### unstack\n", "\n", "Pivot based on the index values, instead of a column. Requires hierarchical index labels, returns a DataFrame having a new level of column labels whose inner-most level consists of the pivoted index labels. If the index is not a MultiIndex, the output will be a Series (the analogue of stack when the columns are not a MultiIndex). The level involved will automatically get sorted.\n", "\n", @@ -3074,16 +3430,101 @@ "* `fill_value`: replace NaN with this value if the unstack produces missing values" ] }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "feature1 sample1 7\n", + " sample2 2\n", + " sample3 1\n", + " sample4 4\n", + " sample5 8\n", + "feature2 sample1 0\n", + " sample2 8\n", + " sample3 4\n", + " sample4 8\n", + " sample5 7\n", + "feature3 sample1 8\n", + " sample2 4\n", + " sample3 3\n", + " sample4 2\n", + " sample5 8\n", + "dtype: int64" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2_unstack = df2.unstack()\n", + "df2_unstack" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "sample1 7\n", + "sample2 2\n", + "sample3 1\n", + "sample4 4\n", + "sample5 8\n", + "dtype: int64" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2_unstack['feature1']" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(pandas.core.frame.DataFrame,\n", + " pandas.core.series.Series,\n", + " pandas.core.series.Series)" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(df2), type(df2_stack), type(df2_unstack)" + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Group operations with Earth Microbiome Project metadata" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -3092,7 +3533,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -3122,7 +3563,7 @@ " dtype='object')" ] }, - "execution_count": 33, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -3133,7 +3574,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ @@ -3143,7 +3584,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -3487,7 +3928,7 @@ "[2000 rows x 8 columns]" ] }, - "execution_count": 35, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -3498,7 +3939,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ @@ -3508,7 +3949,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -3852,7 +4293,7 @@ "[411 rows x 8 columns]" ] }, - "execution_count": 37, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -3863,7 +4304,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -4074,7 +4515,7 @@ "[1644 rows x 3 columns]" ] }, - "execution_count": 38, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -4087,7 +4528,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -4249,7 +4690,7 @@ "Water (saline) NaN 54.294778 NaN " ] }, - "execution_count": 39, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -4261,7 +4702,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -4739,7 +5180,7 @@ "[411 rows x 8 columns]" ] }, - "execution_count": 40, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -4752,7 +5193,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -5183,7 +5624,7 @@ "[411 rows x 7 columns]" ] }, - "execution_count": 41, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -5196,7 +5637,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 51, "metadata": {}, "outputs": [ { @@ -5227,7 +5668,7 @@ "Length: 2877, dtype: object" ] }, - "execution_count": 42, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -5240,7 +5681,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 52, "metadata": { "scrolled": false }, @@ -5251,7 +5692,7 @@ "pandas.core.series.Series" ] }, - "execution_count": 43, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -5262,7 +5703,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -5278,7 +5719,7 @@ "dtype: object" ] }, - "execution_count": 44, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -5290,7 +5731,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 54, "metadata": { "scrolled": true }, @@ -5301,7 +5742,7 @@ "11.0" ] }, - "execution_count": 45, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -5313,7 +5754,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -5322,7 +5763,7 @@ "11.0" ] }, - "execution_count": 46, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -5333,7 +5774,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 56, "metadata": { "scrolled": true }, @@ -5344,7 +5785,7 @@ "11.0" ] }, - "execution_count": 47, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -5355,7 +5796,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 57, "metadata": {}, "outputs": [ { @@ -5386,7 +5827,7 @@ "Length: 2877, dtype: object" ] }, - "execution_count": 48, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -5399,7 +5840,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -5408,7 +5849,7 @@ "pandas.core.series.Series" ] }, - "execution_count": 49, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -5419,7 +5860,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 59, "metadata": { "scrolled": false }, @@ -5452,7 +5893,7 @@ "Length: 411, dtype: object" ] }, - "execution_count": 50, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } @@ -5464,7 +5905,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 60, "metadata": { "scrolled": true }, @@ -5475,7 +5916,7 @@ "11.0" ] }, - "execution_count": 51, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } @@ -5487,7 +5928,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -5496,7 +5937,7 @@ "11.0" ] }, - "execution_count": 52, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } @@ -5507,7 +5948,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -5516,7 +5957,7 @@ "11.0" ] }, - "execution_count": 53, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -5543,7 +5984,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.1" } }, "nbformat": 4, From 3c7ab3617fa1b930bf33e2d770b7c31b1691f837 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Wed, 21 Nov 2018 12:40:21 -0800 Subject: [PATCH 55/78] updates after class --- lessons/lesson16.ipynb | 6739 +++++++++++++++++++++++++++++++--------- 1 file changed, 5290 insertions(+), 1449 deletions(-) diff --git a/lessons/lesson16.ipynb b/lessons/lesson16.ipynb index 76edf8f..66d2ebd 100644 --- a/lessons/lesson16.ipynb +++ b/lessons/lesson16.ipynb @@ -1027,10 +1027,240 @@ "cell_type": "code", "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " student computer_has computer_os score_command score_matlab score_perl \\\n", + "0 10000 N NaN 0 0 0 \n", + "1 13001 Y Mac 2 3 0 \n", + "2 60985 Y Windows 1 1 0 \n", + "3 43309 Y Mac 3 0 0 \n", + "4 89785 Y Windows 2 0 1 \n", + "5 57688 Y Mac 1 1 0 \n", + "6 19366 Y Mac 2 3 0 \n", + "7 97775 Y Mac 2 3 0 \n", + "8 22384 Y Windows 0 2 0 \n", + "9 31556 Y Mac 2 3 0 \n", + "10 70964 Y Mac 1 2 0 \n", + "11 70155 Y Linux 1 1 0 \n", + "12 47724 Y Mac 0 1 0 \n", + "13 37602 Y Linux 2 0 1 \n", + "\n", + " score_python score_r \n", + "0 0 0 \n", + "1 0 0 \n", + "2 2 1 \n", + "3 1 2 \n", + "4 2 2 \n", + "5 0 0 \n", + "6 0 2 \n", + "7 1 0 \n", + "8 0 2 \n", + "9 0 0 \n", + "10 1 2 \n", + "11 1 0 \n", + "12 0 0 \n", + "13 1 2 " + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# delete column score_bash because it's mostly redundant with score_command\n", - "df.drop('score_bash', axis=1, inplace=True)" + "df.drop('score_bash', axis=1, inplace=True)\n", + "df" ] }, { @@ -1124,7 +1354,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -1580,13 +1810,6 @@ "comp_cmd.index" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You may want to ***not*** have the columns you are grouping by become your index. This can be easily achieved as shown below." - ] - }, { "cell_type": "code", "execution_count": 17, @@ -1613,60 +1836,258 @@ " \n", " \n", " \n", - " computer_os\n", - " score_command\n", " score_matlab\n", " score_perl\n", " score_python\n", " score_r\n", " \n", - " \n", - " \n", " \n", - " 0\n", - " Linux\n", - " 1\n", - " 1.0\n", - " 0.0\n", - " 1.00\n", - " 0.0\n", + " score_command\n", + " \n", + " \n", + " \n", + " \n", " \n", + " \n", + " \n", " \n", " 1\n", - " Linux\n", - " 2\n", - " 0.0\n", - " 1.0\n", - " 1.00\n", - " 2.0\n", - " \n", - " \n", - " 2\n", - " Mac\n", - " 0\n", " 1.0\n", " 0.0\n", - " 0.00\n", + " 1.0\n", " 0.0\n", " \n", " \n", - " 3\n", - " Mac\n", - " 1\n", - " 1.5\n", + " 2\n", " 0.0\n", - " 0.50\n", " 1.0\n", + " 1.0\n", + " 2.0\n", + " \n", + " \n", + "\n", + "" + ], + "text/plain": [ + " score_matlab score_perl score_python score_r\n", + "score_command \n", + "1 1.0 0.0 1.0 0.0\n", + "2 0.0 1.0 1.0 2.0" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "comp_cmd.loc['Linux']" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "score_matlab 1.0\n", + "score_perl 0.0\n", + "score_python 1.0\n", + "score_r 0.0\n", + "Name: (Linux, 1), dtype: float64" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "comp_cmd.loc['Linux', 1]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "computer_os score_command\n", + "Linux 1 1.0\n", + " 2 0.0\n", + "Mac 0 1.0\n", + " 1 1.5\n", + " 2 3.0\n", + " 3 0.0\n", + "Windows 0 2.0\n", + " 1 1.0\n", + " 2 0.0\n", + "Name: score_matlab, dtype: float64" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "comp_cmd['score_matlab']" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "score_command\n", + "1 1.0\n", + "2 0.0\n", + "Name: score_matlab, dtype: float64" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "comp_cmd['score_matlab']['Linux']" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.0" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "comp_cmd['score_matlab']['Linux', 1]" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "pandas.core.series.Series" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(comp_cmd['score_matlab'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You may want to ***not*** have the columns you are grouping by become your index. This can be easily achieved as shown below." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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"execution_count": 18, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -1764,7 +2185,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -1991,7 +2412,7 @@ "13 1 2 " ] }, - "execution_count": 19, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -2002,7 +2423,17 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "# set max rows\n", + "pd.set_option(\"display.max_rows\", 80)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, "metadata": { "scrolled": false }, @@ -2106,56 +2537,399 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -2184,7 +2958,6 @@ " \n", " \n", "
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" ], "text/plain": [ @@ -2199,7 +2972,56 @@ "7 Y Mac score_command 2\n", "8 Y Windows score_command 0\n", "9 Y Mac score_command 2\n", - ".. ... ... ... ...\n", + "10 Y Mac score_command 1\n", + "11 Y Linux score_command 1\n", + "12 Y Mac score_command 0\n", + "13 Y Linux score_command 2\n", + "14 N NaN score_matlab 0\n", + "15 Y Mac score_matlab 3\n", + "16 Y Windows score_matlab 1\n", + "17 Y Mac score_matlab 0\n", + "18 Y Windows score_matlab 0\n", + "19 Y Mac score_matlab 1\n", + "20 Y Mac score_matlab 3\n", + "21 Y Mac score_matlab 3\n", + "22 Y Windows score_matlab 2\n", + "23 Y Mac score_matlab 3\n", + "24 Y Mac score_matlab 2\n", + "25 Y Linux score_matlab 1\n", + "26 Y Mac score_matlab 1\n", + "27 Y Linux score_matlab 0\n", + "28 N NaN score_perl 0\n", + "29 Y Mac score_perl 0\n", + "30 Y Windows score_perl 0\n", + "31 Y Mac score_perl 0\n", + "32 Y Windows score_perl 1\n", + "33 Y Mac score_perl 0\n", + "34 Y Mac score_perl 0\n", + "35 Y Mac score_perl 0\n", + "36 Y Windows score_perl 0\n", + "37 Y Mac score_perl 0\n", + "38 Y Mac score_perl 0\n", + "39 Y Linux score_perl 0\n", + "40 Y Mac score_perl 0\n", + "41 Y Linux score_perl 1\n", + "42 N NaN score_python 0\n", + "43 Y Mac score_python 0\n", + "44 Y Windows score_python 2\n", + "45 Y Mac score_python 1\n", + "46 Y Windows score_python 2\n", + "47 Y Mac score_python 0\n", + "48 Y Mac score_python 0\n", + "49 Y Mac score_python 1\n", + "50 Y Windows score_python 0\n", + "51 Y Mac score_python 0\n", + "52 Y Mac score_python 1\n", + "53 Y Linux score_python 1\n", + "54 Y Mac score_python 0\n", + "55 Y Linux score_python 1\n", + "56 N NaN score_r 0\n", + "57 Y Mac score_r 0\n", + "58 Y Windows score_r 1\n", + "59 Y Mac score_r 2\n", "60 Y Windows score_r 2\n", "61 Y Mac score_r 0\n", "62 Y Mac score_r 2\n", @@ -2209,12 +3031,10 @@ "66 Y Mac score_r 2\n", "67 Y Linux score_r 0\n", "68 Y Mac score_r 0\n", - "69 Y Linux score_r 2\n", - "\n", - "[70 rows x 4 columns]" + "69 Y Linux score_r 2" ] }, - "execution_count": 20, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -2226,9 +3046,9 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 28, "metadata": { - "scrolled": true + "scrolled": false }, "outputs": [ { @@ -2241,7 +3061,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -2259,12 +3079,12 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 29, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -2278,7 +3098,7 @@ "source": [ "fig, ax = plt.subplots()\n", "sns.pointplot(x='variable', y='value', hue='computer_os', data=df_melted, axis=ax)\n", - "ax.set_xticklabels(labels=ax.get_xticklabels(), rotation=45);" + "ax.set_xticklabels(labels=ax.get_xticklabels(), rotation=30);" ] }, { @@ -2300,7 +3120,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -2387,7 +3207,7 @@ "5 two C 6 6" ] }, - "execution_count": 23, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -2404,7 +3224,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -2463,7 +3283,7 @@ "two 4 5 6" ] }, - "execution_count": 24, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -2474,7 +3294,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -2555,19 +3375,19 @@ "two 4 5 6 4 5 6" ] }, - "execution_count": 25, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_pivot = df.pivot(index='foo', columns='bar')\n", - "df_pivot #['baz']" + "df_pivot" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -2626,7 +3446,7 @@ "two 4 5 6" ] }, - "execution_count": 26, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -2637,7 +3457,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -2648,7 +3468,7 @@ " names=[None, 'bar'])" ] }, - "execution_count": 27, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -2660,7 +3480,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -2669,7 +3489,7 @@ "Index(['one', 'two'], dtype='object', name='foo')" ] }, - "execution_count": 28, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -2681,7 +3501,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -2715,73 +3535,73 @@ " 0\n", " 2000-01-03\n", " A\n", - " 0.470199\n", + " -0.327982\n", " \n", " \n", " 1\n", " 2000-01-04\n", " A\n", - " -0.114599\n", + " 0.719612\n", " \n", " \n", " 2\n", " 2000-01-05\n", " A\n", - " 1.103833\n", + " -1.139251\n", " \n", " \n", " 3\n", " 2000-01-03\n", " B\n", - " -1.070900\n", + " -0.301713\n", " \n", " \n", " 4\n", " 2000-01-04\n", " B\n", - " 1.420852\n", + " -1.343557\n", " \n", " \n", " 5\n", " 2000-01-05\n", " B\n", - " -0.483171\n", + " -0.019316\n", " \n", " \n", " 6\n", " 2000-01-03\n", " C\n", - " -0.311440\n", + " -0.274083\n", " \n", " \n", " 7\n", " 2000-01-04\n", " C\n", - " -0.039308\n", + " -1.770896\n", " \n", " \n", " 8\n", " 2000-01-05\n", " C\n", - " 0.441237\n", + " 0.584221\n", " \n", " \n", " 9\n", " 2000-01-03\n", " D\n", - " -1.614109\n", + " -0.832605\n", " \n", " \n", " 10\n", " 2000-01-04\n", " D\n", - " 0.014365\n", + " 0.130745\n", " \n", " \n", " 11\n", " 2000-01-05\n", " D\n", - " -0.854510\n", + " 0.737839\n", " \n", " \n", "\n", @@ -2789,21 +3609,21 @@ ], "text/plain": [ " date variable value\n", - "0 2000-01-03 A 0.470199\n", - "1 2000-01-04 A -0.114599\n", - "2 2000-01-05 A 1.103833\n", - "3 2000-01-03 B -1.070900\n", - "4 2000-01-04 B 1.420852\n", - "5 2000-01-05 B -0.483171\n", - "6 2000-01-03 C -0.311440\n", - "7 2000-01-04 C -0.039308\n", - "8 2000-01-05 C 0.441237\n", - "9 2000-01-03 D -1.614109\n", - "10 2000-01-04 D 0.014365\n", - "11 2000-01-05 D -0.854510" + "0 2000-01-03 A -0.327982\n", + "1 2000-01-04 A 0.719612\n", + "2 2000-01-05 A -1.139251\n", + "3 2000-01-03 B -0.301713\n", + "4 2000-01-04 B -1.343557\n", + "5 2000-01-05 B -0.019316\n", + "6 2000-01-03 C -0.274083\n", + "7 2000-01-04 C -1.770896\n", + "8 2000-01-05 C 0.584221\n", + "9 2000-01-03 D -0.832605\n", + "10 2000-01-04 D 0.130745\n", + "11 2000-01-05 D 0.737839" ] }, - "execution_count": 29, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -2831,7 +3651,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 37, "metadata": { "scrolled": true }, @@ -2867,19 +3687,19 @@ " 0\n", " 2000-01-03\n", " A\n", - " 0.470199\n", + " -0.327982\n", " \n", " \n", " 1\n", " 2000-01-04\n", " A\n", - " -0.114599\n", + " 0.719612\n", " \n", " \n", " 2\n", " 2000-01-05\n", " A\n", - " 1.103833\n", + " -1.139251\n", " \n", " \n", "\n", @@ -2887,12 +3707,12 @@ ], "text/plain": [ " date variable value\n", - "0 2000-01-03 A 0.470199\n", - "1 2000-01-04 A -0.114599\n", - "2 2000-01-05 A 1.103833" + "0 2000-01-03 A -0.327982\n", + "1 2000-01-04 A 0.719612\n", + "2 2000-01-05 A -1.139251" ] }, - "execution_count": 30, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -2910,7 +3730,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 38, "metadata": { "scrolled": true }, @@ -2952,24 +3772,24 @@ " \n", " \n", " 2000-01-03\n", - " 0.470199\n", - " -1.070900\n", - " -0.311440\n", - " -1.614109\n", + " -0.327982\n", + " -0.301713\n", + " -0.274083\n", + " -0.832605\n", " \n", " \n", " 2000-01-04\n", - " -0.114599\n", - " 1.420852\n", - " -0.039308\n", - " 0.014365\n", + " 0.719612\n", + " -1.343557\n", + " -1.770896\n", + " 0.130745\n", " \n", " \n", " 2000-01-05\n", - " 1.103833\n", - " -0.483171\n", - " 0.441237\n", - " -0.854510\n", + " -1.139251\n", + " -0.019316\n", + " 0.584221\n", + " 0.737839\n", " \n", " \n", "\n", @@ -2978,12 +3798,12 @@ "text/plain": [ "variable A B C D\n", "date \n", - "2000-01-03 0.470199 -1.070900 -0.311440 -1.614109\n", - "2000-01-04 -0.114599 1.420852 -0.039308 0.014365\n", - "2000-01-05 1.103833 -0.483171 0.441237 -0.854510" + "2000-01-03 -0.327982 -0.301713 -0.274083 -0.832605\n", + "2000-01-04 0.719612 -1.343557 -1.770896 0.130745\n", + "2000-01-05 -1.139251 -0.019316 0.584221 0.737839" ] }, - "execution_count": 31, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -2996,12 +3816,12 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 39, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -3038,7 +3858,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -3149,7 +3969,7 @@ "8 bar two large 7" ] }, - "execution_count": 33, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -3168,7 +3988,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -3239,7 +4059,7 @@ " two NaN 6.0" ] }, - "execution_count": 34, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -3268,7 +4088,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -3300,33 +4120,33 @@ " \n", " \n", " sample1\n", - " 7\n", - " 0\n", + " 3\n", " 8\n", + " 3\n", " \n", " \n", " sample2\n", - " 2\n", - " 8\n", " 4\n", + " 3\n", + " 5\n", " \n", " \n", " sample3\n", + " 8\n", + " 7\n", " 1\n", - " 4\n", - " 3\n", " \n", " \n", " sample4\n", - " 4\n", - " 8\n", + " 1\n", + " 7\n", " 2\n", " \n", " \n", " sample5\n", - " 8\n", - " 7\n", - " 8\n", + " 2\n", + " 4\n", + " 6\n", " \n", " \n", "\n", @@ -3334,14 +4154,14 @@ ], "text/plain": [ " feature1 feature2 feature3\n", - "sample1 7 0 8\n", - "sample2 2 8 4\n", - "sample3 1 4 3\n", - "sample4 4 8 2\n", - "sample5 8 7 8" + "sample1 3 8 3\n", + "sample2 4 3 5\n", + "sample3 8 7 1\n", + "sample4 1 7 2\n", + "sample5 2 4 6" ] }, - "execution_count": 35, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -3355,7 +4175,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 43, "metadata": { "scrolled": true }, @@ -3363,154 +4183,268 @@ { "data": { "text/plain": [ - "sample1 feature1 7\n", - " feature2 0\n", - " feature3 8\n", - "sample2 feature1 2\n", + "sample1 feature1 3\n", " feature2 8\n", - " feature3 4\n", - "sample3 feature1 1\n", - " feature2 4\n", " feature3 3\n", - "sample4 feature1 4\n", - " feature2 8\n", - " feature3 2\n", - "sample5 feature1 8\n", + "sample2 feature1 4\n", + " feature2 3\n", + " feature3 5\n", + "sample3 feature1 8\n", " feature2 7\n", - " feature3 8\n", + " feature3 1\n", + "sample4 feature1 1\n", + " feature2 7\n", + " feature3 2\n", + "sample5 feature1 2\n", + " feature2 4\n", + " feature3 6\n", "dtype: int64" ] }, - "execution_count": 36, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2_stack = df2.stack()\n", + "df2_stack" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "feature1 3\n", + "feature2 8\n", + "feature3 3\n", + "dtype: int64" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2_stack['sample1']" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2_stack['sample1']['feature1']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "### unstack\n", + "\n", + "Pivot based on the index values, instead of a column. Requires hierarchical index labels, returns a DataFrame having a new level of column labels whose inner-most level consists of the pivoted index labels. If the index is not a MultiIndex, the output will be a Series (the analogue of stack when the columns are not a MultiIndex). The level involved will automatically get sorted.\n", + "\n", + "`df.unstack(level=-1, fill_value=None)`\n", + "\n", + "* `level`: int, string, or list of these, default -1 (last level) Level(s) of index to unstack, can pass level name\n", + "* `fill_value`: replace NaN with this value if the unstack produces missing values" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "feature1 sample1 3\n", + " sample2 4\n", + " sample3 8\n", + " sample4 1\n", + " sample5 2\n", + "feature2 sample1 8\n", + " sample2 3\n", + " sample3 7\n", + " sample4 7\n", + " sample5 4\n", + "feature3 sample1 3\n", + " sample2 5\n", + " sample3 1\n", + " sample4 2\n", + " sample5 6\n", + "dtype: int64" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2_unstack = df2.unstack()\n", + "df2_unstack" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "sample1 3\n", + "sample2 4\n", + "sample3 8\n", + "sample4 1\n", + "sample5 2\n", + "dtype: int64" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df2_unstack['feature1']" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df2_stack = df2.stack()\n", - "df2_stack" + "df2_unstack['feature1']['sample1']" ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "feature1 7\n", - "feature2 0\n", - "feature3 8\n", - "dtype: int64" + "(pandas.core.frame.DataFrame,\n", + " pandas.core.series.Series,\n", + " pandas.core.series.Series)" ] }, - "execution_count": 37, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df2_stack['sample1']" + "type(df2), type(df2_stack), type(df2_unstack)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "\n", - "\n", - "### unstack\n", - "\n", - "Pivot based on the index values, instead of a column. Requires hierarchical index labels, returns a DataFrame having a new level of column labels whose inner-most level consists of the pivoted index labels. If the index is not a MultiIndex, the output will be a Series (the analogue of stack when the columns are not a MultiIndex). The level involved will automatically get sorted.\n", - "\n", - "`df.unstack(level=-1, fill_value=None)`\n", + "### value_counts\n", "\n", - "* `level`: int, string, or list of these, default -1 (last level) Level(s) of index to unstack, can pass level name\n", - "* `fill_value`: replace NaN with this value if the unstack produces missing values" + "Get the counts of each value in a Series." ] }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 50, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "feature1 sample1 7\n", - " sample2 2\n", - " sample3 1\n", - " sample4 4\n", - " sample5 8\n", - "feature2 sample1 0\n", - " sample2 8\n", - " sample3 4\n", - " sample4 8\n", - " sample5 7\n", - "feature3 sample1 8\n", - " sample2 4\n", - " sample3 3\n", - " sample4 2\n", - " sample5 8\n", - "dtype: int64" + "4 1\n", + "3 1\n", + "2 1\n", + "1 1\n", + "8 1\n", + "Name: feature1, dtype: int64" ] }, - "execution_count": 38, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df2_unstack = df2.unstack()\n", - "df2_unstack" + "df2.feature1.value_counts()" ] }, { - "cell_type": "code", - "execution_count": 39, + "cell_type": "markdown", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "sample1 7\n", - "sample2 2\n", - "sample3 1\n", - "sample4 4\n", - "sample5 8\n", - "dtype: int64" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "df2_unstack['feature1']" + "Example: Use `value_counts` to find features found in more than 3 samples:" ] }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 51, "metadata": {}, + "outputs": [], + "source": [ + "df2 = df2.astype(bool)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "scrolled": true + }, "outputs": [ { - "data": { - "text/plain": [ - "(pandas.core.frame.DataFrame,\n", - " pandas.core.series.Series,\n", - " pandas.core.series.Series)" - ] - }, - "execution_count": 40, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "feature1 5\n", + "feature2 5\n", + "feature3 5\n" + ] } ], "source": [ - "type(df2), type(df2_stack), type(df2_unstack)" + "for feature in df2.columns:\n", + " num_true = df2[feature].value_counts()[True]\n", + " if num_true > 3:\n", + " print(feature, num_true)" ] }, { @@ -3524,7 +4458,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 53, "metadata": {}, "outputs": [], "source": [ @@ -3533,7 +4467,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -3563,7 +4497,7 @@ " dtype='object')" ] }, - "execution_count": 42, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -3574,7 +4508,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 55, "metadata": {}, "outputs": [], "source": [ @@ -3584,7 +4518,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -3617,136 +4551,796 @@ " empo_3\n", " envo_biome_2\n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " 0\n", + " 550.L1S116.s.1.sequence\n", + " 550\n", + " 22567\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal distal gut\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1\n", + " 550.L1S119.s.1.sequence\n", + " 550\n", + " 27871\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal distal gut\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 2\n", + " 550.L1S164.s.1.sequence\n", + " 550\n", + " 24134\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal distal gut\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 3\n", + " 550.L1S194.s.1.sequence\n", + " 550\n", + " 30041\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal distal gut\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 4\n", + " 550.L1S20.s.1.sequence\n", + " 550\n", + " 21132\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal distal gut\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 5\n", + " 550.L1S26.s.1.sequence\n", + " 550\n", + " 20875\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal distal gut\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 6\n", + " 550.L1S264.s.1.sequence\n", + " 550\n", + " 25919\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal distal gut\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 7\n", + " 550.L1S273.s.1.sequence\n", + " 550\n", + " 32962\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal distal gut\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 8\n", + " 550.L2S103.s.2.sequence\n", + " 550\n", + " 10838\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal surface\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 9\n", + " 550.L2S144.s.2.sequence\n", + " 550\n", + " 13559\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal surface\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 10\n", + " 550.L2S164.s.2.sequence\n", + " 550\n", + " 11276\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal surface\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 11\n", + " 550.L2S166.s.2.sequence\n", + " 550\n", + " 10635\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal surface\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 12\n", + " 550.L2S303.s.2.sequence\n", + " 550\n", + " 16250\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal surface\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 13\n", + " 550.L2S377.s.2.sequence\n", + " 550\n", + " 11904\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal surface\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 14\n", + " 550.L4S1.s.4.sequence\n", + " 550\n", + " 47314\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal surface\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 15\n", + " 550.L4S102.s.4.sequence\n", + " 550\n", + " 30347\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal surface\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 16\n", + " 550.L4S122.s.4.sequence\n", + " 550\n", + " 31629\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal surface\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 17\n", + " 550.L4S140.s.4.sequence\n", + " 550\n", + " 21734\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal surface\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 18\n", + " 550.L4S158.s.4.sequence\n", + " 550\n", + " 28686\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal surface\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 19\n", + " 550.L4S161.s.4.sequence\n", + " 550\n", + " 26217\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal surface\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 20\n", + " 550.L4S183.s.4.sequence\n", + " 550\n", + " 31601\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal surface\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 21\n", + " 550.L5S119.s.5.sequence\n", + " 550\n", + " 8060\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal secretion\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 22\n", + " 550.L5S224.s.5.sequence\n", + " 550\n", + " 8456\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal secretion\n", + " anthropogenic terrestrial biome\n", + " \n", " \n", - " 0\n", - " 550.L1S116.s.1.sequence\n", + " 23\n", + " 550.L5S258.s.5.sequence\n", " 550\n", - " 22567\n", - " 40.01500\n", - " -105.27100\n", + " 8693\n", + " 40.015000\n", + " -105.271000\n", " NaN\n", - " Animal distal gut\n", + " Animal secretion\n", " anthropogenic terrestrial biome\n", " \n", " \n", - " 1\n", - " 550.L1S119.s.1.sequence\n", + " 24\n", + " 550.L6S104.s.6.sequence\n", " 550\n", - " 27871\n", - " 40.01500\n", - " -105.27100\n", + " 34771\n", + " 40.015000\n", + " -105.271000\n", " NaN\n", - " Animal distal gut\n", + " Animal secretion\n", " anthropogenic terrestrial biome\n", " \n", " \n", - " 2\n", - " 550.L1S164.s.1.sequence\n", + " 25\n", + " 550.L6S144.s.6.sequence\n", " 550\n", - " 24134\n", - " 40.01500\n", - " -105.27100\n", + " 34508\n", + " 40.015000\n", + " -105.271000\n", " NaN\n", - " Animal distal gut\n", + " Animal secretion\n", " anthropogenic terrestrial biome\n", " \n", " \n", - " 3\n", - " 550.L1S194.s.1.sequence\n", + " 26\n", + " 550.L6S149.s.6.sequence\n", " 550\n", - " 30041\n", - " 40.01500\n", - " -105.27100\n", + " 28528\n", + " 40.015000\n", + " -105.271000\n", " NaN\n", - " Animal distal gut\n", + " Animal secretion\n", " anthropogenic terrestrial biome\n", " \n", " \n", - " 4\n", - " 550.L1S20.s.1.sequence\n", + " 27\n", + " 550.L6S176.s.6.sequence\n", " 550\n", - " 21132\n", - " 40.01500\n", - " -105.27100\n", + " 29224\n", + " 40.015000\n", + " -105.271000\n", " NaN\n", - " Animal distal gut\n", + " Animal secretion\n", " anthropogenic terrestrial biome\n", " \n", " \n", - " 5\n", - " 550.L1S26.s.1.sequence\n", + " 28\n", + " 550.L6S186.s.6.sequence\n", " 550\n", - " 20875\n", - " 40.01500\n", - " -105.27100\n", + " 27779\n", + " 40.015000\n", + " -105.271000\n", " NaN\n", - " Animal distal gut\n", + " Animal secretion\n", " anthropogenic terrestrial biome\n", " \n", " \n", - " 6\n", - " 550.L1S264.s.1.sequence\n", + " 29\n", + " 550.L6S197.s.6.sequence\n", " 550\n", - " 25919\n", - " 40.01500\n", - " -105.27100\n", + " 20656\n", + " 40.015000\n", + " -105.271000\n", " NaN\n", - " Animal distal gut\n", + " Animal secretion\n", " anthropogenic terrestrial biome\n", " \n", " \n", - " 7\n", - " 550.L1S273.s.1.sequence\n", + " 30\n", + " 550.L6S231.s.6.sequence\n", " 550\n", - " 32962\n", - " 40.01500\n", - " -105.27100\n", + " 28197\n", + " 40.015000\n", + " -105.271000\n", " NaN\n", - " Animal distal gut\n", + " Animal secretion\n", " anthropogenic terrestrial biome\n", " \n", " \n", - " 8\n", - " 550.L2S103.s.2.sequence\n", + " 31\n", + " 550.L6S261.s.6.sequence\n", " 550\n", - " 10838\n", - " 40.01500\n", - " -105.27100\n", + " 24655\n", + " 40.015000\n", + " -105.271000\n", " NaN\n", - " Animal surface\n", + " Animal secretion\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 32\n", + " 550.L6S265.s.6.sequence\n", + " 550\n", + " 21865\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal secretion\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 33\n", + " 550.L6S269.s.6.sequence\n", + " 550\n", + " 27829\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal secretion\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 34\n", + " 550.L6S272.s.6.sequence\n", + " 550\n", + " 24115\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal secretion\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 35\n", + " 550.L6S289.s.6.sequence\n", + " 550\n", + " 30363\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal secretion\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 36\n", + " 550.L6S309.s.6.sequence\n", + " 550\n", + " 26615\n", + " 40.015000\n", + " -105.271000\n", + " NaN\n", + " Animal secretion\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 37\n", + " 632.Agricultural.soil.wheat\n", + " 632\n", + " 93645\n", + " 43.640000\n", + " -80.410000\n", + " NaN\n", + " Soil (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 38\n", + " 632.Arctic.Tundra.1\n", + " 632\n", + " 56060\n", + " 64.870000\n", + " -111.580000\n", + " NaN\n", + " Soil (non-saline)\n", + " tundra biome\n", + " \n", + " \n", + " 39\n", + " 632.Temperate.deciduous.forest\n", + " 632\n", + " 57253\n", + " 43.490000\n", + " -80.570000\n", + " NaN\n", + " Soil (non-saline)\n", + " forest biome\n", + " \n", + " \n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " \n", + " \n", + " 1960\n", + " 2382.HE003.C181.HA.3.764.leav.9.12.lane8.NoInd...\n", + " 2382\n", + " 109240\n", + " 41.010360\n", + " -72.530560\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1961\n", + " 2382.HE003.C181.HA.3.562.rhizo.4.12.lane7.NoIn...\n", + " 2382\n", + " 50570\n", + " 41.010250\n", + " -72.530580\n", + " NaN\n", + " Plant rhizosphere\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1962\n", + " 2382.HE003.C181.HA.2.760.gp.9.12.lane8.NoIndex...\n", + " 2382\n", + " 83083\n", + " 41.010360\n", + " -72.530560\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1963\n", + " 2382.HE003.C181.HA.2.759.leav.9.12.lane8.NoInd...\n", + " 2382\n", + " 103942\n", + " 41.010360\n", + " -72.530560\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1964\n", + " 2382.HE003.C181.HA.1.755.gp.9.12.lane8.NoIndex...\n", + " 2382\n", + " 92275\n", + " 41.010360\n", + " -72.530560\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1965\n", + " 2382.HE003.C181.HA.1.754.leav.9.12.lane8.NoInd...\n", + " 2382\n", + " 119453\n", + " 41.010360\n", + " -72.530560\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1966\n", + " 2382.HE003.C181.HA.1.752.rhizo.9.12.lane7.NoIn...\n", + " 2382\n", + " 57469\n", + " 41.010360\n", + " -72.530560\n", + " NaN\n", + " Plant rhizosphere\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1967\n", + " 2382.HE003.C181.HA.1.553.root.4.12.lane7.NoInd...\n", + " 2382\n", + " 58870\n", + " 41.010250\n", + " -72.530580\n", + " NaN\n", + " Plant rhizosphere\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1968\n", + " 2382.GM.181.R5.leav.10.12.lane8.NoIndex.L008.s...\n", + " 2382\n", + " 176455\n", + " 45.013092\n", + " -0.786197\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1969\n", + " 2382.GM.181.R5.gp.10.12.lane8.NoIndex.L008.seq...\n", + " 2382\n", + " 153000\n", + " 45.013092\n", + " -0.786197\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1970\n", + " 2382.GM.181.R4.leav.10.12.lane8.NoIndex.L008.s...\n", + " 2382\n", + " 177798\n", + " 45.013092\n", + " -0.786197\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1971\n", + " 2382.GM.181.R4.gp.10.12.lane8.NoIndex.L008.seq...\n", + " 2382\n", + " 149114\n", + " 45.013092\n", + " -0.786197\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1972\n", + " 2382.GM.181.R3.rhizo.10.12.lane7.NoIndex.L007....\n", + " 2382\n", + " 269254\n", + " 45.013092\n", + " -0.786197\n", + " NaN\n", + " Plant rhizosphere\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1973\n", + " 2382.GM.181.R3.leav.10.12.lane8.NoIndex.L008.s...\n", + " 2382\n", + " 187910\n", + " 45.013092\n", + " -0.786197\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1974\n", + " 2382.GM.181.R3.gp.10.12.lane8.NoIndex.L008.seq...\n", + " 2382\n", + " 131374\n", + " 45.013092\n", + " -0.786197\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1975\n", + " 2382.GM.181.R2.root.10.12.lane7.NoIndex.L007.s...\n", + " 2382\n", + " 295829\n", + " 45.013092\n", + " -0.786197\n", + " NaN\n", + " Plant rhizosphere\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1976\n", + " 2382.GM.181.R2.rhizo.10.12.lane7.NoIndex.L007....\n", + " 2382\n", + " 275980\n", + " 45.013092\n", + " -0.786197\n", + " NaN\n", + " Plant rhizosphere\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1977\n", + " 2382.GM.181.R2.leav.10.12.lane8.NoIndex.L008.s...\n", + " 2382\n", + " 196678\n", + " 45.013092\n", + " -0.786197\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1978\n", + " 2382.GM.181.R2.gp.10.12.lane8.NoIndex.L008.seq...\n", + " 2382\n", + " 140903\n", + " 45.013092\n", + " -0.786197\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1979\n", + " 2382.GM.181.R1.leav.10.12.lane8.NoIndex.L008.s...\n", + " 2382\n", + " 183805\n", + " 45.013092\n", + " -0.786197\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1980\n", + " 2382.GM.181.R1.gp.10.12.lane8.NoIndex.L008.seq...\n", + " 2382\n", + " 128824\n", + " 45.013092\n", + " -0.786197\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1981\n", + " 2382.DPOO1.C1.HA.5.650.gp.9.12.lane8.NoIndex.L...\n", + " 2382\n", + " 153487\n", + " 41.025250\n", + " -72.461580\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1982\n", + " 2382.DPOO1.C1.HA.5.649.leav.9.12.lane8.NoIndex...\n", + " 2382\n", + " 115994\n", + " 41.025250\n", + " -72.461580\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1983\n", + " 2382.DPOO1.C1.HA.5.648.root.9.12.lane7.NoIndex...\n", + " 2382\n", + " 174497\n", + " 41.025250\n", + " -72.461580\n", + " NaN\n", + " Plant rhizosphere\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1984\n", + " 2382.DPOO1.C1.HA.5.448.root.4.12.lane7.NoIndex...\n", + " 2382\n", + " 47376\n", + " 41.025340\n", + " -72.461710\n", + " NaN\n", + " Plant rhizosphere\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1985\n", + " 2382.DPOO1.C1.HA.4.645.gp.9.12.lane8.NoIndex.L...\n", + " 2382\n", + " 101210\n", + " 41.025250\n", + " -72.461580\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1986\n", + " 2382.DPOO1.C1.HA.4.644.leav.9.12.lane8.NoIndex...\n", + " 2382\n", + " 88713\n", + " 41.025250\n", + " -72.461580\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 1987\n", + " 2382.DPOO1.C1.HA.3.640.gp.9.12.lane8.NoIndex.L...\n", + " 2382\n", + " 82740\n", + " 41.025250\n", + " -72.461580\n", + " NaN\n", + " Plant corpus\n", " anthropogenic terrestrial biome\n", " \n", " \n", - " 9\n", - " 550.L2S144.s.2.sequence\n", - " 550\n", - " 13559\n", - " 40.01500\n", - " -105.27100\n", + " 1988\n", + " 2382.DPOO1.C1.HA.3.639.leav.9.12.lane8.NoIndex...\n", + " 2382\n", + " 41000\n", + " 41.025250\n", + " -72.461580\n", " NaN\n", - " Animal surface\n", + " Plant corpus\n", " anthropogenic terrestrial biome\n", " \n", " \n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", + " 1989\n", + " 2382.DPOO1.C1.HA.3.32.r1.leav.6.11.lane8.NoInd...\n", + " 2382\n", + " 148686\n", + " 41.025430\n", + " -72.461710\n", + " NaN\n", + " Plant corpus\n", + " anthropogenic terrestrial biome\n", " \n", " \n", " 1990\n", " 2382.DPOO1.C1.HA.3.238.root.9.11.lane1.NoIndex...\n", " 2382\n", " 67135\n", - " 41.02541\n", - " -72.46185\n", + " 41.025410\n", + " -72.461850\n", " NaN\n", " Plant rhizosphere\n", " anthropogenic terrestrial biome\n", @@ -3756,8 +5350,8 @@ " 2382.DPOO1.C1.HA.2.635.gp.9.12.lane8.NoIndex.L...\n", " 2382\n", " 99720\n", - " 41.02525\n", - " -72.46158\n", + " 41.025250\n", + " -72.461580\n", " NaN\n", " Plant corpus\n", " anthropogenic terrestrial biome\n", @@ -3767,8 +5361,8 @@ " 2382.DPOO1.C1.HA.2.634.leav.9.12.lane8.NoIndex...\n", " 2382\n", " 69658\n", - " 41.02525\n", - " -72.46158\n", + " 41.025250\n", + " -72.461580\n", " NaN\n", " Plant corpus\n", " anthropogenic terrestrial biome\n", @@ -3778,8 +5372,8 @@ " 2382.DPOO1.C1.HA.2.633.root.9.12.lane7.NoIndex...\n", " 2382\n", " 53679\n", - " 41.02525\n", - " -72.46158\n", + " 41.025250\n", + " -72.461580\n", " NaN\n", " Plant rhizosphere\n", " anthropogenic terrestrial biome\n", @@ -3789,8 +5383,8 @@ " 2382.DPOO1.C1.HA.2.433.root.4.12.lane7.NoIndex...\n", " 2382\n", " 74997\n", - " 41.02534\n", - " -72.46171\n", + " 41.025340\n", + " -72.461710\n", " NaN\n", " Plant rhizosphere\n", " anthropogenic terrestrial biome\n", @@ -3800,8 +5394,8 @@ " 2382.DPOO1.C1.HA.1.630.gp.9.12.lane8.NoIndex.L...\n", " 2382\n", " 90850\n", - " 41.02525\n", - " -72.46158\n", + " 41.025250\n", + " -72.461580\n", " NaN\n", " Plant corpus\n", " anthropogenic terrestrial biome\n", @@ -3811,8 +5405,8 @@ " 2382.DPOO1.C1.HA.1.629.leav.9.12.lane8.NoIndex...\n", " 2382\n", " 115902\n", - " 41.02525\n", - " -72.46158\n", + " 41.025250\n", + " -72.461580\n", " NaN\n", " Plant corpus\n", " anthropogenic terrestrial biome\n", @@ -3822,8 +5416,8 @@ " 2382.DPOO1.C1.HA.1.628.root.9.12.lane7.NoIndex...\n", " 2382\n", " 204706\n", - " 41.02525\n", - " -72.46158\n", + " 41.025250\n", + " -72.461580\n", " NaN\n", " Plant rhizosphere\n", " anthropogenic terrestrial biome\n", @@ -3833,8 +5427,8 @@ " 2382.DPOO1.C1.HA.1.428.root.4.12.lane7.NoIndex...\n", " 2382\n", " 53892\n", - " 41.02534\n", - " -72.46171\n", + " 41.025340\n", + " -72.461710\n", " NaN\n", " Plant rhizosphere\n", " anthropogenic terrestrial biome\n", @@ -3844,8 +5438,8 @@ " 2382.DPOO1.C1.HA.1.228.root.9.11.lane1.NoIndex...\n", " 2382\n", " 50070\n", - " 41.02531\n", - " -72.46175\n", + " 41.025310\n", + " -72.461750\n", " NaN\n", " Plant rhizosphere\n", " anthropogenic terrestrial biome\n", @@ -3867,7 +5461,67 @@ "7 550.L1S273.s.1.sequence 550 \n", "8 550.L2S103.s.2.sequence 550 \n", "9 550.L2S144.s.2.sequence 550 \n", + "10 550.L2S164.s.2.sequence 550 \n", + "11 550.L2S166.s.2.sequence 550 \n", + "12 550.L2S303.s.2.sequence 550 \n", + "13 550.L2S377.s.2.sequence 550 \n", + "14 550.L4S1.s.4.sequence 550 \n", + "15 550.L4S102.s.4.sequence 550 \n", + "16 550.L4S122.s.4.sequence 550 \n", + "17 550.L4S140.s.4.sequence 550 \n", + "18 550.L4S158.s.4.sequence 550 \n", + "19 550.L4S161.s.4.sequence 550 \n", + "20 550.L4S183.s.4.sequence 550 \n", + "21 550.L5S119.s.5.sequence 550 \n", + "22 550.L5S224.s.5.sequence 550 \n", + "23 550.L5S258.s.5.sequence 550 \n", + "24 550.L6S104.s.6.sequence 550 \n", + "25 550.L6S144.s.6.sequence 550 \n", + "26 550.L6S149.s.6.sequence 550 \n", + "27 550.L6S176.s.6.sequence 550 \n", + "28 550.L6S186.s.6.sequence 550 \n", + "29 550.L6S197.s.6.sequence 550 \n", + "30 550.L6S231.s.6.sequence 550 \n", + "31 550.L6S261.s.6.sequence 550 \n", + "32 550.L6S265.s.6.sequence 550 \n", + "33 550.L6S269.s.6.sequence 550 \n", + "34 550.L6S272.s.6.sequence 550 \n", + "35 550.L6S289.s.6.sequence 550 \n", + "36 550.L6S309.s.6.sequence 550 \n", + "37 632.Agricultural.soil.wheat 632 \n", + "38 632.Arctic.Tundra.1 632 \n", + "39 632.Temperate.deciduous.forest 632 \n", "... ... ... \n", + "1960 2382.HE003.C181.HA.3.764.leav.9.12.lane8.NoInd... 2382 \n", + "1961 2382.HE003.C181.HA.3.562.rhizo.4.12.lane7.NoIn... 2382 \n", + "1962 2382.HE003.C181.HA.2.760.gp.9.12.lane8.NoIndex... 2382 \n", + "1963 2382.HE003.C181.HA.2.759.leav.9.12.lane8.NoInd... 2382 \n", + "1964 2382.HE003.C181.HA.1.755.gp.9.12.lane8.NoIndex... 2382 \n", + "1965 2382.HE003.C181.HA.1.754.leav.9.12.lane8.NoInd... 2382 \n", + "1966 2382.HE003.C181.HA.1.752.rhizo.9.12.lane7.NoIn... 2382 \n", + "1967 2382.HE003.C181.HA.1.553.root.4.12.lane7.NoInd... 2382 \n", + "1968 2382.GM.181.R5.leav.10.12.lane8.NoIndex.L008.s... 2382 \n", + "1969 2382.GM.181.R5.gp.10.12.lane8.NoIndex.L008.seq... 2382 \n", + "1970 2382.GM.181.R4.leav.10.12.lane8.NoIndex.L008.s... 2382 \n", + "1971 2382.GM.181.R4.gp.10.12.lane8.NoIndex.L008.seq... 2382 \n", + "1972 2382.GM.181.R3.rhizo.10.12.lane7.NoIndex.L007.... 2382 \n", + "1973 2382.GM.181.R3.leav.10.12.lane8.NoIndex.L008.s... 2382 \n", + "1974 2382.GM.181.R3.gp.10.12.lane8.NoIndex.L008.seq... 2382 \n", + "1975 2382.GM.181.R2.root.10.12.lane7.NoIndex.L007.s... 2382 \n", + "1976 2382.GM.181.R2.rhizo.10.12.lane7.NoIndex.L007.... 2382 \n", + "1977 2382.GM.181.R2.leav.10.12.lane8.NoIndex.L008.s... 2382 \n", + "1978 2382.GM.181.R2.gp.10.12.lane8.NoIndex.L008.seq... 2382 \n", + "1979 2382.GM.181.R1.leav.10.12.lane8.NoIndex.L008.s... 2382 \n", + "1980 2382.GM.181.R1.gp.10.12.lane8.NoIndex.L008.seq... 2382 \n", + "1981 2382.DPOO1.C1.HA.5.650.gp.9.12.lane8.NoIndex.L... 2382 \n", + "1982 2382.DPOO1.C1.HA.5.649.leav.9.12.lane8.NoIndex... 2382 \n", + "1983 2382.DPOO1.C1.HA.5.648.root.9.12.lane7.NoIndex... 2382 \n", + "1984 2382.DPOO1.C1.HA.5.448.root.4.12.lane7.NoIndex... 2382 \n", + "1985 2382.DPOO1.C1.HA.4.645.gp.9.12.lane8.NoIndex.L... 2382 \n", + "1986 2382.DPOO1.C1.HA.4.644.leav.9.12.lane8.NoIndex... 2382 \n", + "1987 2382.DPOO1.C1.HA.3.640.gp.9.12.lane8.NoIndex.L... 2382 \n", + "1988 2382.DPOO1.C1.HA.3.639.leav.9.12.lane8.NoIndex... 2382 \n", + "1989 2382.DPOO1.C1.HA.3.32.r1.leav.6.11.lane8.NoInd... 2382 \n", "1990 2382.DPOO1.C1.HA.3.238.root.9.11.lane1.NoIndex... 2382 \n", "1991 2382.DPOO1.C1.HA.2.635.gp.9.12.lane8.NoIndex.L... 2382 \n", "1992 2382.DPOO1.C1.HA.2.634.leav.9.12.lane8.NoIndex... 2382 \n", @@ -3880,27 +5534,87 @@ "1999 2382.DPOO1.C1.HA.1.228.root.9.11.lane1.NoIndex... 2382 \n", "\n", " observations_deblur_90bp latitude_deg longitude_deg \\\n", - "0 22567 40.01500 -105.27100 \n", - "1 27871 40.01500 -105.27100 \n", - "2 24134 40.01500 -105.27100 \n", - "3 30041 40.01500 -105.27100 \n", - "4 21132 40.01500 -105.27100 \n", - "5 20875 40.01500 -105.27100 \n", - "6 25919 40.01500 -105.27100 \n", - "7 32962 40.01500 -105.27100 \n", - "8 10838 40.01500 -105.27100 \n", - "9 13559 40.01500 -105.27100 \n", + "0 22567 40.015000 -105.271000 \n", + "1 27871 40.015000 -105.271000 \n", + "2 24134 40.015000 -105.271000 \n", + "3 30041 40.015000 -105.271000 \n", + "4 21132 40.015000 -105.271000 \n", + "5 20875 40.015000 -105.271000 \n", + "6 25919 40.015000 -105.271000 \n", + "7 32962 40.015000 -105.271000 \n", + "8 10838 40.015000 -105.271000 \n", + "9 13559 40.015000 -105.271000 \n", + "10 11276 40.015000 -105.271000 \n", + "11 10635 40.015000 -105.271000 \n", + "12 16250 40.015000 -105.271000 \n", + "13 11904 40.015000 -105.271000 \n", + "14 47314 40.015000 -105.271000 \n", + "15 30347 40.015000 -105.271000 \n", + "16 31629 40.015000 -105.271000 \n", + "17 21734 40.015000 -105.271000 \n", + "18 28686 40.015000 -105.271000 \n", + "19 26217 40.015000 -105.271000 \n", + "20 31601 40.015000 -105.271000 \n", + "21 8060 40.015000 -105.271000 \n", + "22 8456 40.015000 -105.271000 \n", + "23 8693 40.015000 -105.271000 \n", + "24 34771 40.015000 -105.271000 \n", + "25 34508 40.015000 -105.271000 \n", + "26 28528 40.015000 -105.271000 \n", + "27 29224 40.015000 -105.271000 \n", + "28 27779 40.015000 -105.271000 \n", + "29 20656 40.015000 -105.271000 \n", + "30 28197 40.015000 -105.271000 \n", + "31 24655 40.015000 -105.271000 \n", + "32 21865 40.015000 -105.271000 \n", + "33 27829 40.015000 -105.271000 \n", + "34 24115 40.015000 -105.271000 \n", + "35 30363 40.015000 -105.271000 \n", + "36 26615 40.015000 -105.271000 \n", + "37 93645 43.640000 -80.410000 \n", + "38 56060 64.870000 -111.580000 \n", + "39 57253 43.490000 -80.570000 \n", "... ... ... ... \n", - "1990 67135 41.02541 -72.46185 \n", - "1991 99720 41.02525 -72.46158 \n", - "1992 69658 41.02525 -72.46158 \n", - "1993 53679 41.02525 -72.46158 \n", - "1994 74997 41.02534 -72.46171 \n", - "1995 90850 41.02525 -72.46158 \n", - "1996 115902 41.02525 -72.46158 \n", - "1997 204706 41.02525 -72.46158 \n", - "1998 53892 41.02534 -72.46171 \n", - "1999 50070 41.02531 -72.46175 \n", + "1960 109240 41.010360 -72.530560 \n", + "1961 50570 41.010250 -72.530580 \n", + "1962 83083 41.010360 -72.530560 \n", + "1963 103942 41.010360 -72.530560 \n", + "1964 92275 41.010360 -72.530560 \n", + "1965 119453 41.010360 -72.530560 \n", + "1966 57469 41.010360 -72.530560 \n", + "1967 58870 41.010250 -72.530580 \n", + "1968 176455 45.013092 -0.786197 \n", + "1969 153000 45.013092 -0.786197 \n", + "1970 177798 45.013092 -0.786197 \n", + "1971 149114 45.013092 -0.786197 \n", + "1972 269254 45.013092 -0.786197 \n", + "1973 187910 45.013092 -0.786197 \n", + "1974 131374 45.013092 -0.786197 \n", + "1975 295829 45.013092 -0.786197 \n", + "1976 275980 45.013092 -0.786197 \n", + "1977 196678 45.013092 -0.786197 \n", + "1978 140903 45.013092 -0.786197 \n", + "1979 183805 45.013092 -0.786197 \n", + "1980 128824 45.013092 -0.786197 \n", + "1981 153487 41.025250 -72.461580 \n", + "1982 115994 41.025250 -72.461580 \n", + "1983 174497 41.025250 -72.461580 \n", + "1984 47376 41.025340 -72.461710 \n", + "1985 101210 41.025250 -72.461580 \n", + "1986 88713 41.025250 -72.461580 \n", + "1987 82740 41.025250 -72.461580 \n", + "1988 41000 41.025250 -72.461580 \n", + "1989 148686 41.025430 -72.461710 \n", + "1990 67135 41.025410 -72.461850 \n", + "1991 99720 41.025250 -72.461580 \n", + "1992 69658 41.025250 -72.461580 \n", + "1993 53679 41.025250 -72.461580 \n", + "1994 74997 41.025340 -72.461710 \n", + "1995 90850 41.025250 -72.461580 \n", + "1996 115902 41.025250 -72.461580 \n", + "1997 204706 41.025250 -72.461580 \n", + "1998 53892 41.025340 -72.461710 \n", + "1999 50070 41.025310 -72.461750 \n", "\n", " temperature_deg_c empo_3 envo_biome_2 \n", "0 NaN Animal distal gut anthropogenic terrestrial biome \n", @@ -3913,7 +5627,67 @@ "7 NaN Animal distal gut anthropogenic terrestrial biome \n", "8 NaN Animal surface anthropogenic terrestrial biome \n", "9 NaN Animal surface anthropogenic terrestrial biome \n", + "10 NaN Animal surface anthropogenic terrestrial biome \n", + "11 NaN Animal surface anthropogenic terrestrial biome \n", + "12 NaN Animal surface anthropogenic terrestrial biome \n", + "13 NaN Animal surface anthropogenic terrestrial biome \n", + "14 NaN Animal surface anthropogenic terrestrial biome \n", + "15 NaN Animal surface anthropogenic terrestrial biome \n", + "16 NaN Animal surface anthropogenic terrestrial biome \n", + "17 NaN Animal surface anthropogenic terrestrial biome \n", + "18 NaN Animal surface anthropogenic terrestrial biome \n", + "19 NaN Animal surface anthropogenic terrestrial biome \n", + "20 NaN Animal surface anthropogenic terrestrial biome \n", + "21 NaN Animal secretion anthropogenic terrestrial biome \n", + "22 NaN Animal secretion anthropogenic terrestrial biome \n", + "23 NaN Animal secretion anthropogenic terrestrial biome \n", + "24 NaN Animal secretion anthropogenic terrestrial biome \n", + "25 NaN Animal secretion anthropogenic terrestrial biome \n", + "26 NaN Animal secretion anthropogenic terrestrial biome \n", + "27 NaN Animal secretion anthropogenic terrestrial biome \n", + "28 NaN Animal secretion anthropogenic terrestrial biome \n", + "29 NaN Animal secretion anthropogenic terrestrial biome \n", + "30 NaN Animal secretion anthropogenic terrestrial biome \n", + "31 NaN Animal secretion anthropogenic terrestrial biome \n", + "32 NaN Animal secretion anthropogenic terrestrial biome \n", + "33 NaN Animal secretion anthropogenic terrestrial biome \n", + "34 NaN Animal secretion anthropogenic terrestrial biome \n", + "35 NaN Animal secretion anthropogenic terrestrial biome \n", + "36 NaN Animal secretion anthropogenic terrestrial biome \n", + "37 NaN Soil (non-saline) anthropogenic terrestrial biome \n", + "38 NaN Soil (non-saline) tundra biome \n", + "39 NaN Soil (non-saline) forest biome \n", "... ... ... ... \n", + "1960 NaN Plant corpus anthropogenic terrestrial biome \n", + "1961 NaN Plant rhizosphere anthropogenic terrestrial biome \n", + "1962 NaN Plant corpus anthropogenic terrestrial biome \n", + "1963 NaN Plant corpus anthropogenic terrestrial biome \n", + "1964 NaN Plant corpus anthropogenic terrestrial biome \n", + "1965 NaN Plant corpus anthropogenic terrestrial biome \n", + "1966 NaN Plant rhizosphere anthropogenic terrestrial biome \n", + "1967 NaN Plant rhizosphere anthropogenic terrestrial biome \n", + "1968 NaN Plant corpus anthropogenic terrestrial biome \n", + "1969 NaN Plant corpus anthropogenic terrestrial biome \n", + "1970 NaN Plant corpus anthropogenic terrestrial biome \n", + "1971 NaN Plant corpus anthropogenic terrestrial biome \n", + "1972 NaN Plant rhizosphere anthropogenic terrestrial biome \n", + "1973 NaN Plant corpus anthropogenic terrestrial biome \n", + "1974 NaN Plant corpus anthropogenic terrestrial biome \n", + "1975 NaN Plant rhizosphere anthropogenic terrestrial biome \n", + "1976 NaN Plant rhizosphere anthropogenic terrestrial biome \n", + "1977 NaN Plant corpus anthropogenic terrestrial biome \n", + "1978 NaN Plant corpus anthropogenic terrestrial biome \n", + "1979 NaN Plant corpus anthropogenic terrestrial biome \n", + "1980 NaN Plant corpus anthropogenic terrestrial biome \n", + "1981 NaN Plant corpus anthropogenic terrestrial biome \n", + "1982 NaN Plant corpus anthropogenic terrestrial biome \n", + "1983 NaN Plant rhizosphere anthropogenic terrestrial biome \n", + "1984 NaN Plant rhizosphere anthropogenic terrestrial biome \n", + "1985 NaN Plant corpus anthropogenic terrestrial biome \n", + "1986 NaN Plant corpus anthropogenic terrestrial biome \n", + "1987 NaN Plant corpus anthropogenic terrestrial biome \n", + "1988 NaN Plant corpus anthropogenic terrestrial biome \n", + "1989 NaN Plant corpus anthropogenic terrestrial biome \n", "1990 NaN Plant rhizosphere anthropogenic terrestrial biome \n", "1991 NaN Plant corpus anthropogenic terrestrial biome \n", "1992 NaN Plant corpus anthropogenic terrestrial biome \n", @@ -3928,7 +5702,7 @@ "[2000 rows x 8 columns]" ] }, - "execution_count": 44, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -3939,7 +5713,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 57, "metadata": {}, "outputs": [], "source": [ @@ -3949,7 +5723,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -3982,136 +5756,796 @@ " empo_3\n", " envo_biome_2\n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " 0\n", + " 678.OA.mesocosm.362\n", + " 678\n", + " 40702\n", + " 50.338000\n", + " -4.148000\n", + " 11.000000\n", + " Sediment (saline)\n", + " marine biome\n", + " \n", + " \n", + " 1\n", + " 678.OA.mesocosm.376\n", + " 678\n", + " 15180\n", + " 50.338000\n", + " -4.148000\n", + " 10.800000\n", + " Sediment (saline)\n", + " marine biome\n", + " \n", + " \n", + " 2\n", + " 678.OA.mesocosm.410\n", + " 678\n", + " 18674\n", + " 50.338000\n", + " -4.148000\n", + " 12.100000\n", + " Sediment (saline)\n", + " marine biome\n", + " \n", + " \n", + " 3\n", + " 678.OA.mesocosm.417\n", + " 678\n", + " 53128\n", + " 50.338000\n", + " -4.148000\n", + " 11.000000\n", + " Sediment (saline)\n", + " marine biome\n", + " \n", + " \n", + " 4\n", + " 678.OA.mesocosm.431\n", + " 678\n", + " 20626\n", + " 50.338000\n", + " -4.148000\n", + " 11.100000\n", + " Sediment (saline)\n", + " marine biome\n", + " \n", + " \n", + " 5\n", + " 678.OA.mesocosm.438\n", + " 678\n", + " 19904\n", + " 50.338000\n", + " -4.148000\n", + " 11.600000\n", + " Sediment (saline)\n", + " marine biome\n", + " \n", + " \n", + " 6\n", + " 723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137...\n", + " 723\n", + " 163972\n", + " 78.712000\n", + " -104.878000\n", + " -1.642100\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 7\n", + " 723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137...\n", + " 723\n", + " 90238\n", + " 78.712000\n", + " -104.878000\n", + " -1.648100\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 8\n", + " 723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137...\n", + " 723\n", + " 128593\n", + " 78.712000\n", + " -104.878000\n", + " -1.648000\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 9\n", + " 723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS13...\n", + " 723\n", + " 66563\n", + " 78.712000\n", + " -104.878000\n", + " -1.650800\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 10\n", + " 723.C9.3m.L3.Catlin1.16Spool.110602.HWI.EAS137...\n", + " 723\n", + " 16821\n", + " 78.712000\n", + " -104.878000\n", + " -1.653100\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 11\n", + " 723.C10.3m.G3.Catlin1.16Spool.110602.HWI.EAS13...\n", + " 723\n", + " 79804\n", + " 78.712000\n", + " -104.878000\n", + " -1.651800\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 12\n", + " 723.C10.5m.L3.Catlin1.16Spool.110602.HWI.EAS13...\n", + " 723\n", + " 22668\n", + " 78.712000\n", + " -104.878000\n", + " -1.651700\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 13\n", + " 723.C11.0m.L3.Catlin1.16Spool.110602.HWI.EAS13...\n", + " 723\n", + " 17307\n", + " 78.712000\n", + " -104.878000\n", + " -1.645300\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 14\n", + " 723.C11.0m.G3.Catlin1.16Spool.110602.HWI.EAS13...\n", + " 723\n", + " 80676\n", + " 78.712000\n", + " -104.878000\n", + " -1.645300\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 15\n", + " 723.IC1.S3.G3.Catlin2.16Spool.110602.HWI.EAS13...\n", + " 723\n", + " 81809\n", + " 78.712000\n", + " -104.878000\n", + " -5.000000\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 16\n", + " 723.IC3.S1.L3.Catlin2.16Spool.110602.HWI.EAS13...\n", + " 723\n", + " 162427\n", + " 78.712000\n", + " -104.878000\n", + " -15.000000\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 17\n", + " 723.IC3.S3.L3.Catlin2.16Spool.110602.HWI.EAS13...\n", + " 723\n", + " 106390\n", + " 78.712000\n", + " -104.878000\n", + " -5.000000\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 18\n", + " 723.IC4.S3.L3.Catlin2.16Spool.110602.HWI.EAS13...\n", + " 723\n", + " 320506\n", + " 78.712000\n", + " -104.878000\n", + " -5.000000\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 19\n", + " 755.EF.DELTA.26.05.11.lane1.NoIndex.L001\n", + " 755\n", + " 39864\n", + " 55.873000\n", + " -4.284000\n", + " 14.060000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 20\n", + " 755.EF.GAMMA.09.06.11.lane1.NoIndex.L001\n", + " 755\n", + " 41035\n", + " 55.873000\n", + " -4.284000\n", + " 14.600000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 21\n", + " 755.INB.24.08.11.lane1.NoIndex.L001\n", + " 755\n", + " 50235\n", + " 55.905000\n", + " -3.204000\n", + " 15.440000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 22\n", + " 755.INA.19.07.11.lane1.NoIndex.L001\n", + " 755\n", + " 51801\n", + " 55.905000\n", + " -3.204000\n", + " 16.660000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 23\n", + " 755.INB.26.07.11.lane1.NoIndex.L001\n", + " 755\n", + " 50339\n", + " 55.905000\n", + " -3.204000\n", + " 16.900000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 24\n", + " 755.LSSF.ALPHA.D20.16.06.11.lane1.NoIndex.L001\n", + " 755\n", + " 45805\n", + " 55.873000\n", + " -4.284000\n", + " 19.000000\n", + " Soil (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 25\n", + " 755.LAB.IN.22.07.11.lane1.NoIndex.L001\n", + " 755\n", + " 55145\n", + " 55.873000\n", + " -4.284000\n", + " 18.060000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 26\n", + " 755.EF.BETA.30.06.11.lane1.NoIndex.L001\n", + " 755\n", + " 54472\n", + " 55.873000\n", + " -4.284000\n", + " 14.300000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 27\n", + " 755.EFB.18.10.11.lane1.NoIndex.L001\n", + " 755\n", + " 43742\n", + " 55.905000\n", + " -3.204000\n", + " 9.480000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 28\n", + " 755.INB.20.09.11.lane1.NoIndex.L001\n", + " 755\n", + " 40748\n", + " 55.905000\n", + " -3.204000\n", + " 13.120000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 29\n", + " 755.EFA.20.09.11.lane1.NoIndex.L001\n", + " 755\n", + " 51051\n", + " 55.906000\n", + " -3.204000\n", + " 14.900000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 30\n", + " 755.INB.17.05.11.lane1.NoIndex.L001\n", + " 755\n", + " 56641\n", + " 55.905000\n", + " -3.204000\n", + " 12.320000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 31\n", + " 804.3862.1219\n", + " 804\n", + " 79423\n", + " 30.123970\n", + " -42.120113\n", + " 88.000000\n", + " Surface (saline)\n", + " marine biome\n", + " \n", + " \n", + " 32\n", + " 804.3862.1325\n", + " 804\n", + " 130967\n", + " 30.123970\n", + " -42.120113\n", + " 88.000000\n", + " Surface (saline)\n", + " marine biome\n", + " \n", + " \n", + " 33\n", + " 804.3869.1404\n", + " 804\n", + " 67311\n", + " 30.123934\n", + " -42.120154\n", + " 70.000000\n", + " Surface (saline)\n", + " marine biome\n", + " \n", + " \n", + " 34\n", + " 804.3869.1446\n", + " 804\n", + " 155732\n", + " 30.123934\n", + " -42.120154\n", + " 70.000000\n", + " Surface (saline)\n", + " marine biome\n", + " \n", + " \n", + " 35\n", + " 804.3876.1104\n", + " 804\n", + " 120919\n", + " 30.124060\n", + " -42.119107\n", + " 12.500000\n", + " Surface (saline)\n", + " marine biome\n", + " \n", + " \n", + " 36\n", + " 804.3876.1436\n", + " 804\n", + " 85130\n", + " 30.123889\n", + " -42.120061\n", + " 91.000000\n", + " Surface (saline)\n", + " marine biome\n", + " \n", + " \n", + " 37\n", + " 804.3867.1228.2\n", + " 804\n", + " 123983\n", + " 30.124755\n", + " -42.119024\n", + " 28.000000\n", + " Surface (saline)\n", + " marine biome\n", + " \n", + " \n", + " 38\n", + " 804.3867.1228.4\n", + " 804\n", + " 66861\n", + " 30.124755\n", + " -42.119024\n", + " 28.000000\n", + " Surface (saline)\n", + " marine biome\n", + " \n", + " \n", + " 39\n", + " 804.3867.1228.5\n", + " 804\n", + " 169213\n", + " 30.124755\n", + " -42.119024\n", + " 28.000000\n", + " Surface (saline)\n", + " marine biome\n", + " \n", + " \n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " \n", + " \n", + " 371\n", + " 2229.S2.T12.PH4.Thomas.CMB.Seaweed.lane6.NoInd...\n", + " 2229\n", + " 47354\n", + " -43.529700\n", + " 146.956700\n", + " 20.273823\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 372\n", + " 2229.S2.T2.4.HP1.Thomas.CMB.Seaweed.lane6.NoIn...\n", + " 2229\n", + " 73108\n", + " -43.140300\n", + " 147.968100\n", + " 12.535678\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 373\n", + " 2229.S2.T2.6.HP1.Thomas.CMB.Seaweed.lane6.NoIn...\n", + " 2229\n", + " 70051\n", + " -43.032500\n", + " 147.946000\n", + " 12.350617\n", + " Plant surface\n", + " marine biome\n", + " \n", " \n", - " 0\n", - " 678.OA.mesocosm.362\n", - " 678\n", - " 40702\n", - " 50.33800\n", - " -4.14800\n", - " 11.000000\n", - " Sediment (saline)\n", + " 374\n", + " 2229.S2.T2.6.HP4.Thomas.CMB.Seaweed.lane6.NoIn...\n", + " 2229\n", + " 67294\n", + " -43.032500\n", + " 147.946000\n", + " 12.350617\n", + " Plant surface\n", " marine biome\n", " \n", " \n", - " 1\n", - " 678.OA.mesocosm.376\n", - " 678\n", - " 15180\n", - " 50.33800\n", - " -4.14800\n", - " 10.800000\n", - " Sediment (saline)\n", + " 375\n", + " 2229.S2.T21.ES1.Thomas.CMB.Seaweed.lane6.NoInd...\n", + " 2229\n", + " 60370\n", + " -43.139900\n", + " 148.001700\n", + " 18.000000\n", + " Plant surface\n", " marine biome\n", " \n", " \n", - " 2\n", - " 678.OA.mesocosm.410\n", - " 678\n", - " 18674\n", - " 50.33800\n", - " -4.14800\n", - " 12.100000\n", - " Sediment (saline)\n", + " 376\n", + " 2229.S2.T21.PS4.Thomas.CMB.Seaweed.lane6.NoInd...\n", + " 2229\n", + " 63994\n", + " -43.139900\n", + " 148.001700\n", + " 18.000000\n", + " Plant surface\n", " marine biome\n", " \n", " \n", - " 3\n", - " 678.OA.mesocosm.417\n", - " 678\n", - " 53128\n", - " 50.33800\n", - " -4.14800\n", - " 11.000000\n", - " Sediment (saline)\n", + " 377\n", + " 2229.S2.T22.ES2.Thomas.CMB.Seaweed.lane6.NoInd...\n", + " 2229\n", + " 26576\n", + " -43.123400\n", + " 147.975800\n", + " 20.200000\n", + " Plant surface\n", " marine biome\n", " \n", " \n", - " 4\n", - " 678.OA.mesocosm.431\n", - " 678\n", - " 20626\n", - " 50.33800\n", - " -4.14800\n", - " 11.100000\n", - " Sediment (saline)\n", + " 378\n", + " 2229.S2.T3.6.HP1.Thomas.CMB.Seaweed.lane6.NoIn...\n", + " 2229\n", + " 75078\n", + " -41.881600\n", + " 148.306000\n", + " 12.600000\n", + " Plant surface\n", " marine biome\n", " \n", " \n", - " 5\n", - " 678.OA.mesocosm.438\n", - " 678\n", - " 19904\n", - " 50.33800\n", - " -4.14800\n", - " 11.600000\n", - " Sediment (saline)\n", + " 379\n", + " 2229.T.B.I.2.HE2.Thomas.CMB.Seaweed.lane6.NoIn...\n", + " 2229\n", + " 56845\n", + " -33.990700\n", + " 151.232400\n", + " 16.800000\n", + " Plant surface\n", " marine biome\n", " \n", " \n", - " 6\n", - " 723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137...\n", - " 723\n", - " 163972\n", - " 78.71200\n", - " -104.87800\n", - " -1.642100\n", - " Water (saline)\n", + " 380\n", + " 2229.T.B.I.2.SE2.Thomas.CMB.Seaweed.lane6.NoIn...\n", + " 2229\n", + " 56557\n", + " -33.990700\n", + " 151.232400\n", + " 16.800000\n", + " Plant surface\n", " marine biome\n", " \n", " \n", - " 7\n", - " 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Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 397\n", + " 2229.W2.N22.EH5.Thomas.CMB.Seaweed.lane5.NoInd...\n", + " 2229\n", + " 56445\n", + " -35.816700\n", + " 150.233200\n", + " 16.980000\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 398\n", + " 2229.W2.N23.EH5.Thomas.CMB.Seaweed.lane5.NoInd...\n", + " 2229\n", + " 49737\n", + " -35.780900\n", + " 150.237200\n", + " 20.200000\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 399\n", + " 2229.W2.N23.ES3.Thomas.CMB.Seaweed.lane5.NoInd...\n", + " 2229\n", + " 72432\n", + " -35.780900\n", + " 150.237200\n", + " 20.600000\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 400\n", + " 2229.W2.N3.4.HE3.Thomas.CMB.Seaweed.lane6.NoIn...\n", + " 2229\n", + " 57030\n", + " -31.594600\n", + " 152.843300\n", + " 12.993581\n", + " Plant surface\n", + " marine biome\n", " \n", " \n", " 401\n", " 2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoIn...\n", " 2229\n", " 31685\n", - " -31.71700\n", - " 152.79790\n", + " -31.717000\n", + " 152.797900\n", " 15.600000\n", " Plant surface\n", " marine biome\n", @@ -4121,8 +6555,8 @@ " 2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoIn...\n", " 2229\n", " 34181\n", - " -43.40770\n", - " 147.01810\n", + " -43.407700\n", + " 147.018100\n", " 15.500000\n", " Plant surface\n", " marine biome\n", @@ -4132,8 +6566,8 @@ " 2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoInd...\n", " 2229\n", " 44509\n", - " -43.42570\n", - " 147.02320\n", + " -43.425700\n", + " 147.023200\n", " 18.000000\n", " Plant surface\n", " marine biome\n", @@ -4143,8 +6577,8 @@ " 2229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoInd...\n", " 2229\n", " 44866\n", - " -43.13990\n", - " 148.00170\n", + " -43.139900\n", + " 148.001700\n", " 17.700000\n", " Plant surface\n", " marine biome\n", @@ -4154,8 +6588,8 @@ " 2229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoInd...\n", " 2229\n", " 52738\n", - " -43.12340\n", - " 147.97580\n", + " -43.123400\n", + " 147.975800\n", " 20.600000\n", " Plant surface\n", " marine biome\n", @@ -4165,8 +6599,8 @@ " 2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoIn...\n", " 2229\n", " 36035\n", - " -41.87100\n", - " 148.30330\n", + " -41.871000\n", + " 148.303300\n", " 18.300000\n", " Plant surface\n", " marine biome\n", @@ -4176,8 +6610,8 @@ " 2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoInd...\n", " 2229\n", " 57826\n", - " -41.86930\n", - " 148.30300\n", + " -41.869300\n", + " 148.303000\n", " 20.236952\n", " Plant surface\n", " marine biome\n", @@ -4187,8 +6621,8 @@ " 2300.BB.4087.anus\n", " 2300\n", " 102404\n", - " 47.93713\n", - " -95.98628\n", + " 47.937130\n", + " -95.986280\n", " 35.055556\n", " Animal distal gut\n", " forest biome\n", @@ -4198,8 +6632,8 @@ " 2300.BB.4087.lavage20\n", " 2300\n", " 100213\n", - " 47.93713\n", - " -95.98628\n", + " 47.937130\n", + " -95.986280\n", " 35.055556\n", " Animal distal gut\n", " forest biome\n", @@ -4209,8 +6643,8 @@ " 2300.BB.08.lavage20\n", " 2300\n", " 82534\n", - " 47.93713\n", - " -95.98628\n", + " 47.937130\n", + " -95.986280\n", " 36.222222\n", " Animal distal gut\n", " forest biome\n", @@ -4232,7 +6666,67 @@ "7 723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137... 723 \n", "8 723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137... 723 \n", "9 723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS13... 723 \n", + "10 723.C9.3m.L3.Catlin1.16Spool.110602.HWI.EAS137... 723 \n", + "11 723.C10.3m.G3.Catlin1.16Spool.110602.HWI.EAS13... 723 \n", + "12 723.C10.5m.L3.Catlin1.16Spool.110602.HWI.EAS13... 723 \n", + "13 723.C11.0m.L3.Catlin1.16Spool.110602.HWI.EAS13... 723 \n", + "14 723.C11.0m.G3.Catlin1.16Spool.110602.HWI.EAS13... 723 \n", + "15 723.IC1.S3.G3.Catlin2.16Spool.110602.HWI.EAS13... 723 \n", + "16 723.IC3.S1.L3.Catlin2.16Spool.110602.HWI.EAS13... 723 \n", + "17 723.IC3.S3.L3.Catlin2.16Spool.110602.HWI.EAS13... 723 \n", + "18 723.IC4.S3.L3.Catlin2.16Spool.110602.HWI.EAS13... 723 \n", + "19 755.EF.DELTA.26.05.11.lane1.NoIndex.L001 755 \n", + "20 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biome \n", + "1 Sediment (saline) marine biome \n", + "2 Sediment (saline) marine biome \n", + "3 Sediment (saline) marine biome \n", + "4 Sediment (saline) marine biome \n", + "5 Sediment (saline) marine biome \n", + "6 Water (saline) marine biome \n", + "7 Water (saline) marine biome \n", + "8 Water (saline) marine biome \n", + "9 Water (saline) marine biome \n", + "10 Water (saline) marine biome \n", + "11 Water (saline) marine biome \n", + "12 Water (saline) marine biome \n", + "13 Water (saline) marine biome \n", + "14 Water (saline) marine biome \n", + "15 Water (saline) marine biome \n", + "16 Water (saline) marine biome \n", + "17 Water (saline) marine biome \n", + "18 Water (saline) marine biome \n", + "19 Water (non-saline) anthropogenic terrestrial biome \n", + "20 Water (non-saline) anthropogenic terrestrial biome \n", + "21 Water (non-saline) anthropogenic terrestrial biome \n", + "22 Water (non-saline) anthropogenic terrestrial biome \n", + "23 Water (non-saline) anthropogenic terrestrial biome \n", + "24 Soil (non-saline) anthropogenic terrestrial biome \n", + "25 Water (non-saline) anthropogenic terrestrial biome \n", + "26 Water (non-saline) anthropogenic terrestrial biome \n", + "27 Water (non-saline) anthropogenic terrestrial biome \n", + "28 Water (non-saline) anthropogenic terrestrial biome \n", + "29 Water (non-saline) anthropogenic terrestrial biome \n", + "30 Water (non-saline) anthropogenic terrestrial biome \n", + "31 Surface (saline) marine biome \n", + "32 Surface (saline) marine biome \n", + "33 Surface (saline) marine biome \n", + "34 Surface (saline) marine biome \n", + "35 Surface (saline) marine biome \n", + "36 Surface (saline) marine biome \n", + "37 Surface (saline) marine biome \n", + "38 Surface (saline) marine biome \n", + "39 Surface (saline) marine biome \n", + ".. ... ... \n", + "371 Plant surface marine biome \n", + "372 Plant surface marine biome \n", + "373 Plant surface marine biome \n", + "374 Plant surface 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empo_316092229.S2.T21.PS4.Thomas.CMB.Seaweed.lane6.NoInd...temperature_deg_c18.000000
Aerosol (non-saline)40.154286NaNNaNNaNNaN16102229.S2.T22.ES2.Thomas.CMB.Seaweed.lane6.NoInd...temperature_deg_c20.200000
Animal distal gutNaN47.93713NaNNaNNaN16112229.S2.T3.6.HP1.Thomas.CMB.Seaweed.lane6.NoIn...temperature_deg_c12.600000
Plant rhizosphere33.194000NaNNaNNaNNaN16122229.T.B.I.2.HE2.Thomas.CMB.Seaweed.lane6.NoIn...temperature_deg_c16.800000
Plant surfaceNaNNaNNaN-38.904496NaN16132229.T.B.I.2.SE2.Thomas.CMB.Seaweed.lane6.NoIn...temperature_deg_c16.800000
Sediment (non-saline)NaNNaN45.584972NaNNaN16142229.T.B.I.3.HE4.Thomas.CMB.Seaweed.lane6.NoIn...temperature_deg_c16.800000
Sediment (saline)NaNNaNNaN58.652135NaN16152229.T.L.B.3.HE1.Thomas.CMB.Seaweed.lane6.NoIn...temperature_deg_c16.900000
Soil (non-saline)38.86375019.38900NaNNaN71.29616162229.W1.N3.4.SE2.Thomas.CMB.Seaweed.lane6.NoIn...temperature_deg_c13.333710
Surface (non-saline)44.54542919.38900NaNNaNNaN16172229.W1.N3.5.HE5.Thomas.CMB.Seaweed.lane6.NoIn...temperature_deg_c12.600000
Surface (saline)NaNNaNNaN37.252081NaN16182229.W1.T1.4.HP3.Thomas.CMB.Seaweed.lane5.NoIn...temperature_deg_c12.576308
Water (non-saline)55.893455NaN51.012160NaNNaN16192229.W1.T11.EH1.Thomas.CMB.Seaweed.lane5.NoInd...temperature_deg_c18.035968
Water (saline)NaNNaNNaN54.294778NaN16202229.W1.T12.EH5.Thomas.CMB.Seaweed.lane5.NoInd...temperature_deg_c16.900000
\n", - "
" - ], - "text/plain": [ - "envo_biome_2 anthropogenic terrestrial biome forest biome \\\n", - "empo_3 \n", - "Aerosol (non-saline) 40.154286 NaN \n", - "Animal distal gut NaN 47.93713 \n", - "Plant rhizosphere 33.194000 NaN \n", - "Plant surface NaN NaN \n", - "Sediment (non-saline) NaN NaN \n", - "Sediment (saline) NaN NaN \n", - "Soil (non-saline) 38.863750 19.38900 \n", - "Surface (non-saline) 44.545429 19.38900 \n", - "Surface (saline) NaN NaN \n", - "Water (non-saline) 55.893455 NaN \n", - "Water (saline) NaN NaN \n", - "\n", - "envo_biome_2 freshwater biome marine biome tundra biome \n", - "empo_3 \n", - "Aerosol (non-saline) NaN NaN NaN \n", - "Animal distal gut NaN NaN NaN \n", - "Plant rhizosphere NaN NaN NaN \n", - "Plant surface NaN -38.904496 NaN \n", - "Sediment (non-saline) 45.584972 NaN NaN \n", - "Sediment (saline) NaN 58.652135 NaN \n", - "Soil (non-saline) NaN NaN 71.296 \n", - "Surface (non-saline) NaN NaN NaN \n", - "Surface (saline) NaN 37.252081 NaN \n", - "Water (non-saline) 51.012160 NaN NaN \n", - "Water (saline) NaN 54.294778 NaN " - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# pivot_table\n", - "df.pivot_table(index='empo_3', columns='envo_biome_2', values='latitude_deg', aggfunc='mean')" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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#SampleIDstudy_idobservations_deblur_90bplatitude_deglongitude_degtemperature_deg_cempo_3envo_biome_2
16212229.W1.T2.5.HP2.Thomas.CMB.Seaweed.lane5.NoIn...temperature_deg_c16.900000
#SampleID16222229.W1.T22.PH2.Thomas.CMB.Seaweed.lane6.NoInd...temperature_deg_c20.200000
678.OA.mesocosm.362678.OA.mesocosm.3626784070250.33800-4.1480011.000000Sediment (saline)marine biome16232229.W1.T3.6.HP2.Thomas.CMB.Seaweed.lane5.NoIn...temperature_deg_c16.900000
678.OA.mesocosm.376678.OA.mesocosm.3766781518050.33800-4.1480010.800000Sediment (saline)marine biome16242229.W1.T31.EH4.Thomas.CMB.Seaweed.lane5.NoInd...temperature_deg_c16.712661
678.OA.mesocosm.410678.OA.mesocosm.4106781867450.33800-4.1480012.100000Sediment (saline)marine biome16252229.W1.T32.EH4.Thomas.CMB.Seaweed.lane5.NoInd...temperature_deg_c17.700000
678.OA.mesocosm.417678.OA.mesocosm.4176785312850.33800-4.1480011.000000Sediment (saline)marine biome16262229.W1.T33.PH2.Thomas.CMB.Seaweed.lane6.NoInd...temperature_deg_c16.600000
678.OA.mesocosm.431678.OA.mesocosm.4316782062650.33800-4.1480011.100000Sediment (saline)marine biome16272229.W1.T33.PS1.Thomas.CMB.Seaweed.lane6.NoInd...temperature_deg_c16.600000
678.OA.mesocosm.438678.OA.mesocosm.4386781990450.33800-4.1480011.600000Sediment (saline)marine biome16282229.W2.N1.7.HE3.Thomas.CMB.Seaweed.lane6.NoIn...temperature_deg_c12.910730
723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137...72316397278.71200-104.87800-1.642100Water (saline)marine biome16292229.W2.N1.9.HE5.Thomas.CMB.Seaweed.lane6.NoIn...temperature_deg_c12.993581
723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137...7239023878.71200-104.87800-1.648100Water (saline)marine biome16302229.W2.N22.EH5.Thomas.CMB.Seaweed.lane5.NoInd...temperature_deg_c16.980000
723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137...72312859378.71200-104.87800-1.648000Water (saline)marine biome16312229.W2.N23.EH5.Thomas.CMB.Seaweed.lane5.NoInd...temperature_deg_c20.200000
723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS13...7236656378.71200-104.87800-1.650800Water (saline)marine biome16322229.W2.N23.ES3.Thomas.CMB.Seaweed.lane5.NoInd...temperature_deg_c20.600000
...........................16332229.W2.N3.4.HE3.Thomas.CMB.Seaweed.lane6.NoIn...temperature_deg_c12.993581
2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoIndex.L00516342229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoIn...222931685-31.71700152.79790temperature_deg_c15.600000Plant surfacemarine biome
2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoIndex.L00516352229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoIn...222934181-43.40770147.01810temperature_deg_c15.500000Plant surfacemarine biome
2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoIndex.L00516362229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoInd...222944509-43.42570147.0232018.000000Plant surfacemarine biometemperature_deg_c18.000000
2229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoIndex.L00616372229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoInd...222944866-43.13990148.00170temperature_deg_c17.700000Plant surfacemarine biome
2229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoIndex.L00516382229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoInd...222952738-43.12340147.97580temperature_deg_c20.600000Plant surfacemarine biome
2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoIndex.L00516392229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoIn...222936035-41.87100148.30330temperature_deg_c18.300000Plant surfacemarine biome
2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoIndex.L00616402229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoInd...222957826-41.86930148.30300temperature_deg_c20.236952Plant surfacemarine biome
2300.BB.4087.anus16412300.BB.4087.anus230010240447.93713-95.98628temperature_deg_c35.055556Animal distal gutforest biome
2300.BB.4087.lavage2016422300.BB.4087.lavage20230010021347.93713-95.98628temperature_deg_c35.055556Animal distal gutforest biome
2300.BB.08.lavage2016432300.BB.08.lavage2023008253447.93713-95.98628temperature_deg_c36.222222Animal distal gutforest biome
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411 rows Γ— 8 columns

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1644 rows Γ— 3 columns

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" ], "text/plain": [ - " #SampleID \\\n", - "#SampleID \n", - "678.OA.mesocosm.362 678.OA.mesocosm.362 \n", - "678.OA.mesocosm.376 678.OA.mesocosm.376 \n", - "678.OA.mesocosm.410 678.OA.mesocosm.410 \n", - "678.OA.mesocosm.417 678.OA.mesocosm.417 \n", - "678.OA.mesocosm.431 678.OA.mesocosm.431 \n", - "678.OA.mesocosm.438 678.OA.mesocosm.438 \n", - "723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137R... 723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137... \n", - "723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... 723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137... \n", - "723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137R... 723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137... \n", - "723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS137... 723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS13... \n", - "... ... \n", - "2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoInd... 2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoIn... \n", - "2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... 2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoIn... \n", - "2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoInde... 2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoInd... \n", - "2229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoInde... 2229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoInd... \n", - "2229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoInde... 2229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoInd... \n", - "2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... 2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoIn... \n", - "2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoInde... 2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoInd... \n", - "2300.BB.4087.anus 2300.BB.4087.anus \n", - "2300.BB.4087.lavage20 2300.BB.4087.lavage20 \n", - "2300.BB.08.lavage20 2300.BB.08.lavage20 \n", - "\n", - " study_id \\\n", - "#SampleID \n", - "678.OA.mesocosm.362 678 \n", - "678.OA.mesocosm.376 678 \n", - "678.OA.mesocosm.410 678 \n", - "678.OA.mesocosm.417 678 \n", - "678.OA.mesocosm.431 678 \n", - "678.OA.mesocosm.438 678 \n", - 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53128 \n", - "678.OA.mesocosm.431 20626 \n", - "678.OA.mesocosm.438 19904 \n", - "723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137R... 163972 \n", - "723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... 90238 \n", - "723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137R... 128593 \n", - "723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS137... 66563 \n", - "... ... \n", - "2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoInd... 31685 \n", - "2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... 34181 \n", - "2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoInde... 44509 \n", - "2229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoInde... 44866 \n", - "2229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoInde... 52738 \n", - "2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... 36035 \n", - "2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoInde... 57826 \n", - "2300.BB.4087.anus 102404 \n", - "2300.BB.4087.lavage20 100213 \n", - "2300.BB.08.lavage20 82534 \n", - "\n", - " latitude_deg \\\n", - "#SampleID \n", - "678.OA.mesocosm.362 50.33800 \n", - "678.OA.mesocosm.376 50.33800 \n", - "678.OA.mesocosm.410 50.33800 \n", - "678.OA.mesocosm.417 50.33800 \n", - "678.OA.mesocosm.431 50.33800 \n", - "678.OA.mesocosm.438 50.33800 \n", - "723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137R... 78.71200 \n", - "723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... 78.71200 \n", - "723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137R... 78.71200 \n", - "723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS137... 78.71200 \n", - "... ... \n", - "2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoInd... -31.71700 \n", - "2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... -43.40770 \n", - "2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoInde... -43.42570 \n", - "2229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoInde... -43.13990 \n", - "2229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoInde... -43.12340 \n", - "2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... -41.87100 \n", - "2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoInde... -41.86930 \n", - "2300.BB.4087.anus 47.93713 \n", - "2300.BB.4087.lavage20 47.93713 \n", - "2300.BB.08.lavage20 47.93713 \n", + " #SampleID \\\n", + "0 678.OA.mesocosm.362 \n", + "1 678.OA.mesocosm.376 \n", + "2 678.OA.mesocosm.410 \n", + "3 678.OA.mesocosm.417 \n", + "4 678.OA.mesocosm.431 \n", + "5 678.OA.mesocosm.438 \n", + "6 723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137... \n", + "7 723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137... \n", + "8 723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137... \n", + "9 723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS13... \n", + "10 723.C9.3m.L3.Catlin1.16Spool.110602.HWI.EAS137... \n", + "11 723.C10.3m.G3.Catlin1.16Spool.110602.HWI.EAS13... \n", + "12 723.C10.5m.L3.Catlin1.16Spool.110602.HWI.EAS13... \n", + "13 723.C11.0m.L3.Catlin1.16Spool.110602.HWI.EAS13... \n", + "14 723.C11.0m.G3.Catlin1.16Spool.110602.HWI.EAS13... \n", + "15 723.IC1.S3.G3.Catlin2.16Spool.110602.HWI.EAS13... \n", + "16 723.IC3.S1.L3.Catlin2.16Spool.110602.HWI.EAS13... \n", + "17 723.IC3.S3.L3.Catlin2.16Spool.110602.HWI.EAS13... \n", + "18 723.IC4.S3.L3.Catlin2.16Spool.110602.HWI.EAS13... \n", + "19 755.EF.DELTA.26.05.11.lane1.NoIndex.L001 \n", + "20 755.EF.GAMMA.09.06.11.lane1.NoIndex.L001 \n", + "21 755.INB.24.08.11.lane1.NoIndex.L001 \n", + "22 755.INA.19.07.11.lane1.NoIndex.L001 \n", + "23 755.INB.26.07.11.lane1.NoIndex.L001 \n", + "24 755.LSSF.ALPHA.D20.16.06.11.lane1.NoIndex.L001 \n", + "25 755.LAB.IN.22.07.11.lane1.NoIndex.L001 \n", + "26 755.EF.BETA.30.06.11.lane1.NoIndex.L001 \n", + "27 755.EFB.18.10.11.lane1.NoIndex.L001 \n", + "28 755.INB.20.09.11.lane1.NoIndex.L001 \n", + "29 755.EFA.20.09.11.lane1.NoIndex.L001 \n", + "30 755.INB.17.05.11.lane1.NoIndex.L001 \n", + "31 804.3862.1219 \n", + "32 804.3862.1325 \n", + "33 804.3869.1404 \n", + "34 804.3869.1446 \n", + "35 804.3876.1104 \n", + "36 804.3876.1436 \n", + "37 804.3867.1228.2 \n", + "38 804.3867.1228.4 \n", + "39 804.3867.1228.5 \n", + "... ... \n", + "1604 2229.S2.T12.PH4.Thomas.CMB.Seaweed.lane6.NoInd... \n", + "1605 2229.S2.T2.4.HP1.Thomas.CMB.Seaweed.lane6.NoIn... \n", + "1606 2229.S2.T2.6.HP1.Thomas.CMB.Seaweed.lane6.NoIn... \n", + "1607 2229.S2.T2.6.HP4.Thomas.CMB.Seaweed.lane6.NoIn... \n", + "1608 2229.S2.T21.ES1.Thomas.CMB.Seaweed.lane6.NoInd... \n", + "1609 2229.S2.T21.PS4.Thomas.CMB.Seaweed.lane6.NoInd... \n", + "1610 2229.S2.T22.ES2.Thomas.CMB.Seaweed.lane6.NoInd... \n", + "1611 2229.S2.T3.6.HP1.Thomas.CMB.Seaweed.lane6.NoIn... \n", + "1612 2229.T.B.I.2.HE2.Thomas.CMB.Seaweed.lane6.NoIn... \n", + "1613 2229.T.B.I.2.SE2.Thomas.CMB.Seaweed.lane6.NoIn... \n", + "1614 2229.T.B.I.3.HE4.Thomas.CMB.Seaweed.lane6.NoIn... \n", + "1615 2229.T.L.B.3.HE1.Thomas.CMB.Seaweed.lane6.NoIn... \n", + "1616 2229.W1.N3.4.SE2.Thomas.CMB.Seaweed.lane6.NoIn... \n", + "1617 2229.W1.N3.5.HE5.Thomas.CMB.Seaweed.lane6.NoIn... \n", + "1618 2229.W1.T1.4.HP3.Thomas.CMB.Seaweed.lane5.NoIn... \n", + "1619 2229.W1.T11.EH1.Thomas.CMB.Seaweed.lane5.NoInd... \n", + "1620 2229.W1.T12.EH5.Thomas.CMB.Seaweed.lane5.NoInd... \n", + "1621 2229.W1.T2.5.HP2.Thomas.CMB.Seaweed.lane5.NoIn... \n", + "1622 2229.W1.T22.PH2.Thomas.CMB.Seaweed.lane6.NoInd... \n", + "1623 2229.W1.T3.6.HP2.Thomas.CMB.Seaweed.lane5.NoIn... \n", + "1624 2229.W1.T31.EH4.Thomas.CMB.Seaweed.lane5.NoInd... \n", + "1625 2229.W1.T32.EH4.Thomas.CMB.Seaweed.lane5.NoInd... \n", + "1626 2229.W1.T33.PH2.Thomas.CMB.Seaweed.lane6.NoInd... \n", + "1627 2229.W1.T33.PS1.Thomas.CMB.Seaweed.lane6.NoInd... \n", + "1628 2229.W2.N1.7.HE3.Thomas.CMB.Seaweed.lane6.NoIn... \n", + "1629 2229.W2.N1.9.HE5.Thomas.CMB.Seaweed.lane6.NoIn... \n", + "1630 2229.W2.N22.EH5.Thomas.CMB.Seaweed.lane5.NoInd... \n", + "1631 2229.W2.N23.EH5.Thomas.CMB.Seaweed.lane5.NoInd... \n", + "1632 2229.W2.N23.ES3.Thomas.CMB.Seaweed.lane5.NoInd... \n", + "1633 2229.W2.N3.4.HE3.Thomas.CMB.Seaweed.lane6.NoIn... \n", + "1634 2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoIn... \n", + "1635 2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoIn... \n", + "1636 2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoInd... \n", + "1637 2229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoInd... \n", + "1638 2229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoInd... \n", + "1639 2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoIn... \n", + "1640 2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoInd... \n", + "1641 2300.BB.4087.anus \n", + "1642 2300.BB.4087.lavage20 \n", + "1643 2300.BB.08.lavage20 \n", "\n", - " longitude_deg \\\n", - "#SampleID \n", - "678.OA.mesocosm.362 -4.14800 \n", - "678.OA.mesocosm.376 -4.14800 \n", - "678.OA.mesocosm.410 -4.14800 \n", - "678.OA.mesocosm.417 -4.14800 \n", - "678.OA.mesocosm.431 -4.14800 \n", - "678.OA.mesocosm.438 -4.14800 \n", - "723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137R... -104.87800 \n", - "723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... -104.87800 \n", - "723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137R... -104.87800 \n", - "723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS137... -104.87800 \n", - "... ... \n", - "2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoInd... 152.79790 \n", - "2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... 147.01810 \n", - "2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoInde... 147.02320 \n", - "2229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoInde... 148.00170 \n", - "2229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoInde... 147.97580 \n", - "2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... 148.30330 \n", - "2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoInde... 148.30300 \n", - "2300.BB.4087.anus -95.98628 \n", - "2300.BB.4087.lavage20 -95.98628 \n", - "2300.BB.08.lavage20 -95.98628 \n", + " variable value \n", + "0 observations_deblur_90bp 40702.000000 \n", + "1 observations_deblur_90bp 15180.000000 \n", + "2 observations_deblur_90bp 18674.000000 \n", + "3 observations_deblur_90bp 53128.000000 \n", + "4 observations_deblur_90bp 20626.000000 \n", + "5 observations_deblur_90bp 19904.000000 \n", + "6 observations_deblur_90bp 163972.000000 \n", + "7 observations_deblur_90bp 90238.000000 \n", + "8 observations_deblur_90bp 128593.000000 \n", + "9 observations_deblur_90bp 66563.000000 \n", + "10 observations_deblur_90bp 16821.000000 \n", + "11 observations_deblur_90bp 79804.000000 \n", + "12 observations_deblur_90bp 22668.000000 \n", + "13 observations_deblur_90bp 17307.000000 \n", + "14 observations_deblur_90bp 80676.000000 \n", + "15 observations_deblur_90bp 81809.000000 \n", + "16 observations_deblur_90bp 162427.000000 \n", + "17 observations_deblur_90bp 106390.000000 \n", + "18 observations_deblur_90bp 320506.000000 \n", + "19 observations_deblur_90bp 39864.000000 \n", + "20 observations_deblur_90bp 41035.000000 \n", + "21 observations_deblur_90bp 50235.000000 \n", + "22 observations_deblur_90bp 51801.000000 \n", + "23 observations_deblur_90bp 50339.000000 \n", + "24 observations_deblur_90bp 45805.000000 \n", + "25 observations_deblur_90bp 55145.000000 \n", + "26 observations_deblur_90bp 54472.000000 \n", + "27 observations_deblur_90bp 43742.000000 \n", + "28 observations_deblur_90bp 40748.000000 \n", + "29 observations_deblur_90bp 51051.000000 \n", + "30 observations_deblur_90bp 56641.000000 \n", + "31 observations_deblur_90bp 79423.000000 \n", + "32 observations_deblur_90bp 130967.000000 \n", + "33 observations_deblur_90bp 67311.000000 \n", + "34 observations_deblur_90bp 155732.000000 \n", + "35 observations_deblur_90bp 120919.000000 \n", + "36 observations_deblur_90bp 85130.000000 \n", + "37 observations_deblur_90bp 123983.000000 \n", + "38 observations_deblur_90bp 66861.000000 \n", + "39 observations_deblur_90bp 169213.000000 \n", + "... ... ... \n", + "1604 temperature_deg_c 20.273823 \n", + "1605 temperature_deg_c 12.535678 \n", + "1606 temperature_deg_c 12.350617 \n", + "1607 temperature_deg_c 12.350617 \n", + "1608 temperature_deg_c 18.000000 \n", + "1609 temperature_deg_c 18.000000 \n", + "1610 temperature_deg_c 20.200000 \n", + "1611 temperature_deg_c 12.600000 \n", + "1612 temperature_deg_c 16.800000 \n", + "1613 temperature_deg_c 16.800000 \n", + "1614 temperature_deg_c 16.800000 \n", + "1615 temperature_deg_c 16.900000 \n", + "1616 temperature_deg_c 13.333710 \n", + "1617 temperature_deg_c 12.600000 \n", + "1618 temperature_deg_c 12.576308 \n", + "1619 temperature_deg_c 18.035968 \n", + "1620 temperature_deg_c 16.900000 \n", + "1621 temperature_deg_c 16.900000 \n", + "1622 temperature_deg_c 20.200000 \n", + "1623 temperature_deg_c 16.900000 \n", + "1624 temperature_deg_c 16.712661 \n", + "1625 temperature_deg_c 17.700000 \n", + "1626 temperature_deg_c 16.600000 \n", + "1627 temperature_deg_c 16.600000 \n", + "1628 temperature_deg_c 12.910730 \n", + "1629 temperature_deg_c 12.993581 \n", + "1630 temperature_deg_c 16.980000 \n", + "1631 temperature_deg_c 20.200000 \n", + "1632 temperature_deg_c 20.600000 \n", + "1633 temperature_deg_c 12.993581 \n", + "1634 temperature_deg_c 15.600000 \n", + "1635 temperature_deg_c 15.500000 \n", + "1636 temperature_deg_c 18.000000 \n", + "1637 temperature_deg_c 17.700000 \n", + "1638 temperature_deg_c 20.600000 \n", + "1639 temperature_deg_c 18.300000 \n", + "1640 temperature_deg_c 20.236952 \n", + "1641 temperature_deg_c 35.055556 \n", + "1642 temperature_deg_c 35.055556 \n", + "1643 temperature_deg_c 36.222222 \n", "\n", - " temperature_deg_c \\\n", - "#SampleID \n", - "678.OA.mesocosm.362 11.000000 \n", - "678.OA.mesocosm.376 10.800000 \n", - "678.OA.mesocosm.410 12.100000 \n", - "678.OA.mesocosm.417 11.000000 \n", - "678.OA.mesocosm.431 11.100000 \n", - "678.OA.mesocosm.438 11.600000 \n", - "723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137R... -1.642100 \n", - "723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... -1.648100 \n", - "723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137R... -1.648000 \n", - "723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS137... -1.650800 \n", - "... ... \n", - "2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoInd... 15.600000 \n", - "2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... 15.500000 \n", - "2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoInde... 18.000000 \n", - "2229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoInde... 17.700000 \n", - "2229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoInde... 20.600000 \n", - "2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... 18.300000 \n", - "2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoInde... 20.236952 \n", - "2300.BB.4087.anus 35.055556 \n", - "2300.BB.4087.lavage20 35.055556 \n", - "2300.BB.08.lavage20 36.222222 \n", + "[1644 rows x 3 columns]" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# melt\n", + "pd.melt(df, id_vars=['#SampleID'], value_vars=['observations_deblur_90bp', 'latitude_deg', \n", + " 'longitude_deg', 'temperature_deg_c'])" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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envo_biome_2anthropogenic terrestrial biomeforest biomefreshwater biomemarine biometundra biome
empo_3
Aerosol (non-saline)40.154286NaNNaNNaNNaN
Animal distal gutNaN47.93713NaNNaNNaN
Plant rhizosphere33.194000NaNNaNNaNNaN
Plant surfaceNaNNaNNaN-38.904496NaN
Sediment (non-saline)NaNNaN45.584972NaNNaN
Sediment (saline)NaNNaNNaN58.652135NaN
Soil (non-saline)38.86375019.38900NaNNaN71.296
Surface (non-saline)44.54542919.38900NaNNaNNaN
Surface (saline)NaNNaNNaN37.252081NaN
Water (non-saline)55.893455NaN51.012160NaNNaN
Water (saline)NaNNaNNaN54.294778NaN
\n", + "
" + ], + "text/plain": [ + "envo_biome_2 anthropogenic terrestrial biome forest biome \\\n", + "empo_3 \n", + "Aerosol (non-saline) 40.154286 NaN \n", + "Animal distal gut NaN 47.93713 \n", + "Plant rhizosphere 33.194000 NaN \n", + "Plant surface NaN NaN \n", + "Sediment (non-saline) NaN NaN \n", + "Sediment (saline) NaN NaN \n", + "Soil (non-saline) 38.863750 19.38900 \n", + "Surface (non-saline) 44.545429 19.38900 \n", + "Surface (saline) NaN NaN \n", + "Water (non-saline) 55.893455 NaN \n", + "Water (saline) NaN NaN \n", "\n", - "[411 rows x 8 columns]" + "envo_biome_2 freshwater biome marine biome tundra biome \n", + "empo_3 \n", + "Aerosol (non-saline) NaN NaN NaN \n", + "Animal distal gut NaN NaN NaN \n", + "Plant rhizosphere NaN NaN NaN \n", + "Plant surface NaN -38.904496 NaN \n", + "Sediment (non-saline) 45.584972 NaN NaN \n", + "Sediment (saline) NaN 58.652135 NaN \n", + "Soil (non-saline) NaN NaN 71.296 \n", + "Surface (non-saline) NaN NaN NaN \n", + "Surface (saline) NaN 37.252081 NaN \n", + "Water (non-saline) 51.012160 NaN NaN \n", + "Water (saline) NaN 54.294778 NaN " ] }, - "execution_count": 49, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# before proceeding, let's change the index to match '#SampleID' column\n", - "df.index = df['#SampleID']\n", - "df" + "# pivot_table\n", + "df.pivot_table(index='empo_3', columns='envo_biome_2', values='latitude_deg', aggfunc='mean')" ] }, { "cell_type": "code", - "execution_count": 50, - "metadata": {}, + "execution_count": 61, + "metadata": { + "scrolled": false + }, "outputs": [ { "data": { @@ -5241,8 +7846,8 @@ " 678.OA.mesocosm.362\n", " 678\n", " 40702\n", - " 50.33800\n", - " -4.14800\n", + " 50.338000\n", + " -4.148000\n", " 11.000000\n", " Sediment (saline)\n", " marine biome\n", @@ -5251,90 +7856,390 @@ " 678.OA.mesocosm.376\n", " 678\n", " 15180\n", - " 50.33800\n", - " -4.14800\n", + " 50.338000\n", + " -4.148000\n", " 10.800000\n", " Sediment (saline)\n", " marine biome\n", " \n", " \n", - " 678.OA.mesocosm.410\n", - " 678\n", - " 18674\n", - " 50.33800\n", - " -4.14800\n", - " 12.100000\n", - " Sediment (saline)\n", + " 678.OA.mesocosm.410\n", + " 678\n", + " 18674\n", + " 50.338000\n", + " -4.148000\n", + " 12.100000\n", + " Sediment (saline)\n", + " marine biome\n", + " \n", + " \n", + " 678.OA.mesocosm.417\n", + " 678\n", + " 53128\n", + " 50.338000\n", + " -4.148000\n", + " 11.000000\n", + " Sediment (saline)\n", + " marine biome\n", + " \n", + " \n", + " 678.OA.mesocosm.431\n", + " 678\n", + " 20626\n", + " 50.338000\n", + " -4.148000\n", + " 11.100000\n", + " Sediment (saline)\n", + " marine biome\n", + " \n", + " \n", + " 678.OA.mesocosm.438\n", + " 678\n", + " 19904\n", + " 50.338000\n", + " -4.148000\n", + " 11.600000\n", + " Sediment (saline)\n", + " marine biome\n", + " \n", + " \n", + " 723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence\n", + " 723\n", + " 163972\n", + " 78.712000\n", + " 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723.C10.3m.G3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence\n", + " 723\n", + " 79804\n", + " 78.712000\n", + " -104.878000\n", + " -1.651800\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 723.C10.5m.L3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence\n", + " 723\n", + " 22668\n", + " 78.712000\n", + " -104.878000\n", + " -1.651700\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 723.C11.0m.L3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence\n", + " 723\n", + " 17307\n", + " 78.712000\n", + " -104.878000\n", + " -1.645300\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 723.C11.0m.G3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence\n", + " 723\n", + " 80676\n", + " 78.712000\n", + " -104.878000\n", + " -1.645300\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 723.IC1.S3.G3.Catlin2.16Spool.110602.HWI.EAS137R.0375.s.5.1.sequence\n", + " 723\n", + " 81809\n", + " 78.712000\n", + " -104.878000\n", + " -5.000000\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 723.IC3.S1.L3.Catlin2.16Spool.110602.HWI.EAS137R.0375.s.5.1.sequence\n", + " 723\n", + " 162427\n", + " 78.712000\n", + " -104.878000\n", + " -15.000000\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 723.IC3.S3.L3.Catlin2.16Spool.110602.HWI.EAS137R.0375.s.5.1.sequence\n", + " 723\n", + " 106390\n", + " 78.712000\n", + " -104.878000\n", + " -5.000000\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 723.IC4.S3.L3.Catlin2.16Spool.110602.HWI.EAS137R.0375.s.5.1.sequence\n", + " 723\n", + " 320506\n", + " 78.712000\n", + " -104.878000\n", + " -5.000000\n", + " Water (saline)\n", + " marine biome\n", + " \n", + " \n", + " 755.EF.DELTA.26.05.11.lane1.NoIndex.L001\n", + " 755\n", + " 39864\n", + " 55.873000\n", + " -4.284000\n", + " 14.060000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 755.EF.GAMMA.09.06.11.lane1.NoIndex.L001\n", + " 755\n", + " 41035\n", + " 55.873000\n", + " -4.284000\n", + " 14.600000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 755.INB.24.08.11.lane1.NoIndex.L001\n", + " 755\n", + " 50235\n", + " 55.905000\n", + " -3.204000\n", + " 15.440000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 755.INA.19.07.11.lane1.NoIndex.L001\n", + " 755\n", + " 51801\n", + " 55.905000\n", + " -3.204000\n", + " 16.660000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 755.INB.26.07.11.lane1.NoIndex.L001\n", + " 755\n", + " 50339\n", + " 55.905000\n", + " -3.204000\n", + " 16.900000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 755.LSSF.ALPHA.D20.16.06.11.lane1.NoIndex.L001\n", + " 755\n", + " 45805\n", + " 55.873000\n", + " -4.284000\n", + " 19.000000\n", + " Soil (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 755.LAB.IN.22.07.11.lane1.NoIndex.L001\n", + " 755\n", + " 55145\n", + " 55.873000\n", + " -4.284000\n", + " 18.060000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 755.EF.BETA.30.06.11.lane1.NoIndex.L001\n", + " 755\n", + " 54472\n", + " 55.873000\n", + " -4.284000\n", + " 14.300000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 755.EFB.18.10.11.lane1.NoIndex.L001\n", + " 755\n", + " 43742\n", + " 55.905000\n", + " -3.204000\n", + " 9.480000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 755.INB.20.09.11.lane1.NoIndex.L001\n", + " 755\n", + " 40748\n", + " 55.905000\n", + " -3.204000\n", + " 13.120000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 755.EFA.20.09.11.lane1.NoIndex.L001\n", + " 755\n", + " 51051\n", + " 55.906000\n", + " -3.204000\n", + " 14.900000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 755.INB.17.05.11.lane1.NoIndex.L001\n", + " 755\n", + " 56641\n", + " 55.905000\n", + " -3.204000\n", + " 12.320000\n", + " Water (non-saline)\n", + " anthropogenic terrestrial biome\n", + " \n", + " \n", + " 804.3862.1219\n", + " 804\n", + " 79423\n", + " 30.123970\n", + " -42.120113\n", + " 88.000000\n", + " Surface (saline)\n", + " marine biome\n", + " \n", + " \n", + " 804.3862.1325\n", + " 804\n", + " 130967\n", + " 30.123970\n", + " -42.120113\n", + " 88.000000\n", + " Surface (saline)\n", " marine biome\n", " \n", " \n", - " 678.OA.mesocosm.417\n", - " 678\n", - " 53128\n", - " 50.33800\n", - " -4.14800\n", - " 11.000000\n", - " Sediment (saline)\n", + " 804.3869.1404\n", + " 804\n", + " 67311\n", + " 30.123934\n", + " -42.120154\n", + " 70.000000\n", + " Surface (saline)\n", " marine biome\n", " \n", " \n", - " 678.OA.mesocosm.431\n", - " 678\n", - " 20626\n", - " 50.33800\n", - " -4.14800\n", - " 11.100000\n", - " Sediment (saline)\n", + " 804.3869.1446\n", + " 804\n", + " 155732\n", + " 30.123934\n", + " -42.120154\n", + " 70.000000\n", + " Surface (saline)\n", " marine biome\n", " \n", " \n", - " 678.OA.mesocosm.438\n", - " 678\n", - " 19904\n", - " 50.33800\n", - " -4.14800\n", - " 11.600000\n", - " Sediment (saline)\n", + " 804.3876.1104\n", + " 804\n", + " 120919\n", + " 30.124060\n", + " -42.119107\n", + " 12.500000\n", + " Surface (saline)\n", " marine biome\n", " \n", " \n", - " 723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence\n", - " 723\n", - " 163972\n", - " 78.71200\n", - " -104.87800\n", - " -1.642100\n", - " Water (saline)\n", + " 804.3876.1436\n", + " 804\n", + " 85130\n", + " 30.123889\n", + " -42.120061\n", + " 91.000000\n", + " Surface (saline)\n", " marine biome\n", " \n", " \n", - " 723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence\n", - " 723\n", - " 90238\n", - " 78.71200\n", - " -104.87800\n", - " -1.648100\n", - " Water (saline)\n", + " 804.3867.1228.2\n", + " 804\n", + " 123983\n", + " 30.124755\n", + " -42.119024\n", + " 28.000000\n", + " Surface (saline)\n", " marine biome\n", " \n", " \n", - " 723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence\n", - " 723\n", - " 128593\n", - " 78.71200\n", - " -104.87800\n", - " -1.648000\n", - " Water (saline)\n", + " 804.3867.1228.4\n", + " 804\n", + " 66861\n", + " 30.124755\n", + " -42.119024\n", + " 28.000000\n", + " Surface (saline)\n", " marine biome\n", " \n", " \n", - " 723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence\n", - " 723\n", - " 66563\n", - " 78.71200\n", - " -104.87800\n", - " -1.650800\n", - " Water (saline)\n", + " 804.3867.1228.5\n", + " 804\n", + " 169213\n", + " 30.124755\n", + " -42.119024\n", + " 28.000000\n", + " Surface (saline)\n", " marine biome\n", " \n", " \n", @@ -5348,11 +8253,311 @@ " ...\n", " \n", " \n", + " 2229.S2.T12.PH4.Thomas.CMB.Seaweed.lane6.NoIndex.L006\n", + " 2229\n", + " 47354\n", + " -43.529700\n", + " 146.956700\n", + " 20.273823\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.S2.T2.4.HP1.Thomas.CMB.Seaweed.lane6.NoIndex.L006\n", + " 2229\n", + " 73108\n", + " -43.140300\n", + " 147.968100\n", + " 12.535678\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.S2.T2.6.HP1.Thomas.CMB.Seaweed.lane6.NoIndex.L006\n", + " 2229\n", + " 70051\n", + " -43.032500\n", + " 147.946000\n", + " 12.350617\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.S2.T2.6.HP4.Thomas.CMB.Seaweed.lane6.NoIndex.L006\n", + " 2229\n", + " 67294\n", + " -43.032500\n", + " 147.946000\n", + " 12.350617\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.S2.T21.ES1.Thomas.CMB.Seaweed.lane6.NoIndex.L006\n", + " 2229\n", + " 60370\n", + " -43.139900\n", + " 148.001700\n", + " 18.000000\n", + " Plant surface\n", + " marine 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" 147.018100\n", + " 12.576308\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.W1.T11.EH1.Thomas.CMB.Seaweed.lane5.NoIndex.L005\n", + " 2229\n", + " 58870\n", + " -42.950900\n", + " 147.355100\n", + " 18.035968\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.W1.T12.EH5.Thomas.CMB.Seaweed.lane5.NoIndex.L005\n", + " 2229\n", + " 42917\n", + " -43.529700\n", + " 146.956700\n", + " 16.900000\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.W1.T2.5.HP2.Thomas.CMB.Seaweed.lane5.NoIndex.L005\n", + " 2229\n", + " 36948\n", + " -43.007700\n", + " 147.934300\n", + " 16.900000\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.W1.T22.PH2.Thomas.CMB.Seaweed.lane6.NoIndex.L006\n", + " 2229\n", + " 57253\n", + " -43.123400\n", + " 147.975800\n", + " 20.200000\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.W1.T3.6.HP2.Thomas.CMB.Seaweed.lane5.NoIndex.L005\n", + " 2229\n", + " 45401\n", + " -41.881600\n", + " 148.306000\n", + " 16.900000\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.W1.T31.EH4.Thomas.CMB.Seaweed.lane5.NoIndex.L005\n", + " 2229\n", + " 42699\n", + " -41.908800\n", + " 148.321300\n", + " 16.712661\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.W1.T32.EH4.Thomas.CMB.Seaweed.lane5.NoIndex.L005\n", + " 2229\n", + " 57812\n", + " -41.846400\n", + " 148.278600\n", + " 17.700000\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.W1.T33.PH2.Thomas.CMB.Seaweed.lane6.NoIndex.L006\n", + " 2229\n", + " 39171\n", + " -41.869300\n", + " 148.303000\n", + " 16.600000\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.W1.T33.PS1.Thomas.CMB.Seaweed.lane6.NoIndex.L006\n", + " 2229\n", + " 76000\n", + " -41.869300\n", + " 148.303000\n", + " 16.600000\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.W2.N1.7.HE3.Thomas.CMB.Seaweed.lane6.NoIndex.L006\n", + " 2229\n", + " 69629\n", + " -33.800600\n", + " 151.297100\n", + " 12.910730\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.W2.N1.9.HE5.Thomas.CMB.Seaweed.lane6.NoIndex.L006\n", + " 2229\n", + " 72967\n", + " -33.990700\n", + " 151.232400\n", + " 12.993581\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.W2.N22.EH5.Thomas.CMB.Seaweed.lane5.NoIndex.L005\n", + " 2229\n", + " 56445\n", + " -35.816700\n", + " 150.233200\n", + " 16.980000\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.W2.N23.EH5.Thomas.CMB.Seaweed.lane5.NoIndex.L005\n", + " 2229\n", + " 49737\n", + " -35.780900\n", + " 150.237200\n", + " 20.200000\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.W2.N23.ES3.Thomas.CMB.Seaweed.lane5.NoIndex.L005\n", + " 2229\n", + " 72432\n", + " -35.780900\n", + " 150.237200\n", + " 20.600000\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", + " 2229.W2.N3.4.HE3.Thomas.CMB.Seaweed.lane6.NoIndex.L006\n", + " 2229\n", + " 57030\n", + " -31.594600\n", + " 152.843300\n", + " 12.993581\n", + " Plant surface\n", + " marine biome\n", + " \n", + " \n", " 2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoIndex.L005\n", " 2229\n", " 31685\n", - " -31.71700\n", - " 152.79790\n", + " -31.717000\n", + " 152.797900\n", " 15.600000\n", " Plant surface\n", " marine biome\n", @@ -5361,8 +8566,8 @@ " 2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoIndex.L005\n", " 2229\n", " 34181\n", - " -43.40770\n", - " 147.01810\n", + " -43.407700\n", + " 147.018100\n", " 15.500000\n", " Plant surface\n", " marine biome\n", @@ -5371,8 +8576,8 @@ " 2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoIndex.L005\n", " 2229\n", " 44509\n", - " -43.42570\n", - " 147.02320\n", + " -43.425700\n", + " 147.023200\n", " 18.000000\n", " Plant surface\n", " marine biome\n", @@ -5381,8 +8586,8 @@ " 2229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoIndex.L006\n", " 2229\n", " 44866\n", - " -43.13990\n", - " 148.00170\n", + " -43.139900\n", + " 148.001700\n", " 17.700000\n", " Plant surface\n", " marine biome\n", @@ -5391,8 +8596,8 @@ " 2229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoIndex.L005\n", " 2229\n", " 52738\n", - " -43.12340\n", - " 147.97580\n", + " -43.123400\n", + " 147.975800\n", " 20.600000\n", " Plant surface\n", " marine biome\n", @@ -5401,8 +8606,8 @@ " 2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoIndex.L005\n", " 2229\n", " 36035\n", - " -41.87100\n", - " 148.30330\n", + " -41.871000\n", + " 148.303300\n", " 18.300000\n", " Plant surface\n", " marine biome\n", @@ -5411,8 +8616,8 @@ " 2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoIndex.L006\n", " 2229\n", " 57826\n", - " -41.86930\n", - " 148.30300\n", + " -41.869300\n", + " 148.303000\n", " 20.236952\n", " Plant surface\n", " marine biome\n", @@ -5421,8 +8626,8 @@ " 2300.BB.4087.anus\n", " 2300\n", " 102404\n", - " 47.93713\n", - " -95.98628\n", + " 47.937130\n", + " -95.986280\n", " 35.055556\n", " Animal distal gut\n", " forest biome\n", @@ -5431,8 +8636,8 @@ " 2300.BB.4087.lavage20\n", " 2300\n", " 100213\n", - " 47.93713\n", - " -95.98628\n", + " 47.937130\n", + " -95.986280\n", " 35.055556\n", " Animal distal gut\n", " forest biome\n", @@ -5441,8 +8646,8 @@ " 2300.BB.08.lavage20\n", " 2300\n", " 82534\n", - " 47.93713\n", - " -95.98628\n", + " 47.937130\n", + " -95.986280\n", " 36.222222\n", " Animal distal gut\n", " forest biome\n", @@ -5465,7 +8670,67 @@ "723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... 723 \n", "723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137R... 723 \n", "723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS137... 723 \n", + "723.C9.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... 723 \n", + "723.C10.3m.G3.Catlin1.16Spool.110602.HWI.EAS137... 723 \n", + "723.C10.5m.L3.Catlin1.16Spool.110602.HWI.EAS137... 723 \n", + "723.C11.0m.L3.Catlin1.16Spool.110602.HWI.EAS137... 723 \n", + "723.C11.0m.G3.Catlin1.16Spool.110602.HWI.EAS137... 723 \n", + 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804 \n", + "804.3867.1228.2 804 \n", + "804.3867.1228.4 804 \n", + "804.3867.1228.5 804 \n", "... ... \n", + "2229.S2.T12.PH4.Thomas.CMB.Seaweed.lane6.NoInde... 2229 \n", + "2229.S2.T2.4.HP1.Thomas.CMB.Seaweed.lane6.NoInd... 2229 \n", + "2229.S2.T2.6.HP1.Thomas.CMB.Seaweed.lane6.NoInd... 2229 \n", + "2229.S2.T2.6.HP4.Thomas.CMB.Seaweed.lane6.NoInd... 2229 \n", + "2229.S2.T21.ES1.Thomas.CMB.Seaweed.lane6.NoInde... 2229 \n", + "2229.S2.T21.PS4.Thomas.CMB.Seaweed.lane6.NoInde... 2229 \n", + "2229.S2.T22.ES2.Thomas.CMB.Seaweed.lane6.NoInde... 2229 \n", + "2229.S2.T3.6.HP1.Thomas.CMB.Seaweed.lane6.NoInd... 2229 \n", + "2229.T.B.I.2.HE2.Thomas.CMB.Seaweed.lane6.NoInd... 2229 \n", + "2229.T.B.I.2.SE2.Thomas.CMB.Seaweed.lane6.NoInd... 2229 \n", + "2229.T.B.I.3.HE4.Thomas.CMB.Seaweed.lane6.NoInd... 2229 \n", + "2229.T.L.B.3.HE1.Thomas.CMB.Seaweed.lane6.NoInd... 2229 \n", + "2229.W1.N3.4.SE2.Thomas.CMB.Seaweed.lane6.NoInd... 2229 \n", + "2229.W1.N3.5.HE5.Thomas.CMB.Seaweed.lane6.NoInd... 2229 \n", + "2229.W1.T1.4.HP3.Thomas.CMB.Seaweed.lane5.NoInd... 2229 \n", + "2229.W1.T11.EH1.Thomas.CMB.Seaweed.lane5.NoInde... 2229 \n", + "2229.W1.T12.EH5.Thomas.CMB.Seaweed.lane5.NoInde... 2229 \n", + "2229.W1.T2.5.HP2.Thomas.CMB.Seaweed.lane5.NoInd... 2229 \n", + "2229.W1.T22.PH2.Thomas.CMB.Seaweed.lane6.NoInde... 2229 \n", + "2229.W1.T3.6.HP2.Thomas.CMB.Seaweed.lane5.NoInd... 2229 \n", + "2229.W1.T31.EH4.Thomas.CMB.Seaweed.lane5.NoInde... 2229 \n", + "2229.W1.T32.EH4.Thomas.CMB.Seaweed.lane5.NoInde... 2229 \n", + "2229.W1.T33.PH2.Thomas.CMB.Seaweed.lane6.NoInde... 2229 \n", + "2229.W1.T33.PS1.Thomas.CMB.Seaweed.lane6.NoInde... 2229 \n", + "2229.W2.N1.7.HE3.Thomas.CMB.Seaweed.lane6.NoInd... 2229 \n", + "2229.W2.N1.9.HE5.Thomas.CMB.Seaweed.lane6.NoInd... 2229 \n", + "2229.W2.N22.EH5.Thomas.CMB.Seaweed.lane5.NoInde... 2229 \n", + "2229.W2.N23.EH5.Thomas.CMB.Seaweed.lane5.NoInde... 2229 \n", + "2229.W2.N23.ES3.Thomas.CMB.Seaweed.lane5.NoInde... 2229 \n", + "2229.W2.N3.4.HE3.Thomas.CMB.Seaweed.lane6.NoInd... 2229 \n", "2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoInd... 2229 \n", "2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... 2229 \n", "2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoInde... 2229 \n", @@ -5489,7 +8754,67 @@ "723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... 90238 \n", "723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137R... 128593 \n", "723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS137... 66563 \n", + "723.C9.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... 16821 \n", + "723.C10.3m.G3.Catlin1.16Spool.110602.HWI.EAS137... 79804 \n", + "723.C10.5m.L3.Catlin1.16Spool.110602.HWI.EAS137... 22668 \n", + "723.C11.0m.L3.Catlin1.16Spool.110602.HWI.EAS137... 17307 \n", + "723.C11.0m.G3.Catlin1.16Spool.110602.HWI.EAS137... 80676 \n", + "723.IC1.S3.G3.Catlin2.16Spool.110602.HWI.EAS137... 81809 \n", + "723.IC3.S1.L3.Catlin2.16Spool.110602.HWI.EAS137... 162427 \n", + "723.IC3.S3.L3.Catlin2.16Spool.110602.HWI.EAS137... 106390 \n", + 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"2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoInd... 31685 \n", "2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... 34181 \n", "2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoInde... 44509 \n", @@ -5503,51 +8828,171 @@ "\n", " latitude_deg \\\n", "#SampleID \n", - "678.OA.mesocosm.362 50.33800 \n", - "678.OA.mesocosm.376 50.33800 \n", - "678.OA.mesocosm.410 50.33800 \n", - "678.OA.mesocosm.417 50.33800 \n", - "678.OA.mesocosm.431 50.33800 \n", - "678.OA.mesocosm.438 50.33800 \n", - "723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137R... 78.71200 \n", - "723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... 78.71200 \n", - "723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137R... 78.71200 \n", - "723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS137... 78.71200 \n", + "678.OA.mesocosm.362 50.338000 \n", + "678.OA.mesocosm.376 50.338000 \n", + "678.OA.mesocosm.410 50.338000 \n", + "678.OA.mesocosm.417 50.338000 \n", + "678.OA.mesocosm.431 50.338000 \n", + "678.OA.mesocosm.438 50.338000 \n", + "723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137R... 78.712000 \n", + "723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... 78.712000 \n", + "723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137R... 78.712000 \n", + "723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS137... 78.712000 \n", + "723.C9.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... 78.712000 \n", + "723.C10.3m.G3.Catlin1.16Spool.110602.HWI.EAS137... 78.712000 \n", + "723.C10.5m.L3.Catlin1.16Spool.110602.HWI.EAS137... 78.712000 \n", + "723.C11.0m.L3.Catlin1.16Spool.110602.HWI.EAS137... 78.712000 \n", + "723.C11.0m.G3.Catlin1.16Spool.110602.HWI.EAS137... 78.712000 \n", + "723.IC1.S3.G3.Catlin2.16Spool.110602.HWI.EAS137... 78.712000 \n", + "723.IC3.S1.L3.Catlin2.16Spool.110602.HWI.EAS137... 78.712000 \n", + "723.IC3.S3.L3.Catlin2.16Spool.110602.HWI.EAS137... 78.712000 \n", + "723.IC4.S3.L3.Catlin2.16Spool.110602.HWI.EAS137... 78.712000 \n", + "755.EF.DELTA.26.05.11.lane1.NoIndex.L001 55.873000 \n", + "755.EF.GAMMA.09.06.11.lane1.NoIndex.L001 55.873000 \n", + "755.INB.24.08.11.lane1.NoIndex.L001 55.905000 \n", + "755.INA.19.07.11.lane1.NoIndex.L001 55.905000 \n", + "755.INB.26.07.11.lane1.NoIndex.L001 55.905000 \n", + "755.LSSF.ALPHA.D20.16.06.11.lane1.NoIndex.L001 55.873000 \n", + "755.LAB.IN.22.07.11.lane1.NoIndex.L001 55.873000 \n", + "755.EF.BETA.30.06.11.lane1.NoIndex.L001 55.873000 \n", + "755.EFB.18.10.11.lane1.NoIndex.L001 55.905000 \n", + "755.INB.20.09.11.lane1.NoIndex.L001 55.905000 \n", + "755.EFA.20.09.11.lane1.NoIndex.L001 55.906000 \n", + "755.INB.17.05.11.lane1.NoIndex.L001 55.905000 \n", + "804.3862.1219 30.123970 \n", + "804.3862.1325 30.123970 \n", + "804.3869.1404 30.123934 \n", + "804.3869.1446 30.123934 \n", + "804.3876.1104 30.124060 \n", + "804.3876.1436 30.123889 \n", + "804.3867.1228.2 30.124755 \n", + "804.3867.1228.4 30.124755 \n", + "804.3867.1228.5 30.124755 \n", "... ... \n", - "2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoInd... -31.71700 \n", - "2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... -43.40770 \n", - "2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoInde... -43.42570 \n", - "2229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoInde... -43.13990 \n", - "2229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoInde... -43.12340 \n", - "2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... -41.87100 \n", - "2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoInde... -41.86930 \n", - "2300.BB.4087.anus 47.93713 \n", - "2300.BB.4087.lavage20 47.93713 \n", - "2300.BB.08.lavage20 47.93713 \n", + "2229.S2.T12.PH4.Thomas.CMB.Seaweed.lane6.NoInde... -43.529700 \n", + "2229.S2.T2.4.HP1.Thomas.CMB.Seaweed.lane6.NoInd... -43.140300 \n", + "2229.S2.T2.6.HP1.Thomas.CMB.Seaweed.lane6.NoInd... -43.032500 \n", + "2229.S2.T2.6.HP4.Thomas.CMB.Seaweed.lane6.NoInd... -43.032500 \n", + "2229.S2.T21.ES1.Thomas.CMB.Seaweed.lane6.NoInde... -43.139900 \n", + "2229.S2.T21.PS4.Thomas.CMB.Seaweed.lane6.NoInde... -43.139900 \n", + "2229.S2.T22.ES2.Thomas.CMB.Seaweed.lane6.NoInde... -43.123400 \n", + "2229.S2.T3.6.HP1.Thomas.CMB.Seaweed.lane6.NoInd... -41.881600 \n", + "2229.T.B.I.2.HE2.Thomas.CMB.Seaweed.lane6.NoInd... -33.990700 \n", + "2229.T.B.I.2.SE2.Thomas.CMB.Seaweed.lane6.NoInd... -33.990700 \n", + "2229.T.B.I.3.HE4.Thomas.CMB.Seaweed.lane6.NoInd... -33.990700 \n", + "2229.T.L.B.3.HE1.Thomas.CMB.Seaweed.lane6.NoInd... -33.965600 \n", + "2229.W1.N3.4.SE2.Thomas.CMB.Seaweed.lane6.NoInd... -31.594600 \n", + "2229.W1.N3.5.HE5.Thomas.CMB.Seaweed.lane6.NoInd... -31.717000 \n", + "2229.W1.T1.4.HP3.Thomas.CMB.Seaweed.lane5.NoInd... -43.407700 \n", + "2229.W1.T11.EH1.Thomas.CMB.Seaweed.lane5.NoInde... -42.950900 \n", + "2229.W1.T12.EH5.Thomas.CMB.Seaweed.lane5.NoInde... -43.529700 \n", + "2229.W1.T2.5.HP2.Thomas.CMB.Seaweed.lane5.NoInd... -43.007700 \n", + "2229.W1.T22.PH2.Thomas.CMB.Seaweed.lane6.NoInde... -43.123400 \n", + "2229.W1.T3.6.HP2.Thomas.CMB.Seaweed.lane5.NoInd... -41.881600 \n", + "2229.W1.T31.EH4.Thomas.CMB.Seaweed.lane5.NoInde... -41.908800 \n", + "2229.W1.T32.EH4.Thomas.CMB.Seaweed.lane5.NoInde... -41.846400 \n", + "2229.W1.T33.PH2.Thomas.CMB.Seaweed.lane6.NoInde... -41.869300 \n", + "2229.W1.T33.PS1.Thomas.CMB.Seaweed.lane6.NoInde... -41.869300 \n", + "2229.W2.N1.7.HE3.Thomas.CMB.Seaweed.lane6.NoInd... -33.800600 \n", + "2229.W2.N1.9.HE5.Thomas.CMB.Seaweed.lane6.NoInd... -33.990700 \n", + "2229.W2.N22.EH5.Thomas.CMB.Seaweed.lane5.NoInde... -35.816700 \n", + "2229.W2.N23.EH5.Thomas.CMB.Seaweed.lane5.NoInde... -35.780900 \n", + "2229.W2.N23.ES3.Thomas.CMB.Seaweed.lane5.NoInde... -35.780900 \n", + "2229.W2.N3.4.HE3.Thomas.CMB.Seaweed.lane6.NoInd... -31.594600 \n", + "2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoInd... -31.717000 \n", + "2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... -43.407700 \n", + "2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoInde... -43.425700 \n", + "2229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoInde... -43.139900 \n", + "2229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoInde... -43.123400 \n", + "2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... -41.871000 \n", + "2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoInde... -41.869300 \n", + "2300.BB.4087.anus 47.937130 \n", + "2300.BB.4087.lavage20 47.937130 \n", + "2300.BB.08.lavage20 47.937130 \n", "\n", " longitude_deg \\\n", "#SampleID \n", - "678.OA.mesocosm.362 -4.14800 \n", - "678.OA.mesocosm.376 -4.14800 \n", - "678.OA.mesocosm.410 -4.14800 \n", - "678.OA.mesocosm.417 -4.14800 \n", - "678.OA.mesocosm.431 -4.14800 \n", - "678.OA.mesocosm.438 -4.14800 \n", - "723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137R... -104.87800 \n", - "723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... -104.87800 \n", - "723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137R... -104.87800 \n", - "723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS137... -104.87800 \n", + "678.OA.mesocosm.362 -4.148000 \n", + "678.OA.mesocosm.376 -4.148000 \n", + "678.OA.mesocosm.410 -4.148000 \n", + "678.OA.mesocosm.417 -4.148000 \n", + "678.OA.mesocosm.431 -4.148000 \n", + "678.OA.mesocosm.438 -4.148000 \n", + "723.C7.0m.L3.Catlin1.16Spool.110602.HWI.EAS137R... -104.878000 \n", + "723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... -104.878000 \n", + "723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137R... -104.878000 \n", + "723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS137... -104.878000 \n", + "723.C9.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... -104.878000 \n", + "723.C10.3m.G3.Catlin1.16Spool.110602.HWI.EAS137... -104.878000 \n", + "723.C10.5m.L3.Catlin1.16Spool.110602.HWI.EAS137... -104.878000 \n", + "723.C11.0m.L3.Catlin1.16Spool.110602.HWI.EAS137... -104.878000 \n", + "723.C11.0m.G3.Catlin1.16Spool.110602.HWI.EAS137... -104.878000 \n", + "723.IC1.S3.G3.Catlin2.16Spool.110602.HWI.EAS137... -104.878000 \n", + "723.IC3.S1.L3.Catlin2.16Spool.110602.HWI.EAS137... -104.878000 \n", + "723.IC3.S3.L3.Catlin2.16Spool.110602.HWI.EAS137... -104.878000 \n", + "723.IC4.S3.L3.Catlin2.16Spool.110602.HWI.EAS137... -104.878000 \n", + "755.EF.DELTA.26.05.11.lane1.NoIndex.L001 -4.284000 \n", + "755.EF.GAMMA.09.06.11.lane1.NoIndex.L001 -4.284000 \n", + "755.INB.24.08.11.lane1.NoIndex.L001 -3.204000 \n", + "755.INA.19.07.11.lane1.NoIndex.L001 -3.204000 \n", + "755.INB.26.07.11.lane1.NoIndex.L001 -3.204000 \n", + "755.LSSF.ALPHA.D20.16.06.11.lane1.NoIndex.L001 -4.284000 \n", + "755.LAB.IN.22.07.11.lane1.NoIndex.L001 -4.284000 \n", + "755.EF.BETA.30.06.11.lane1.NoIndex.L001 -4.284000 \n", + "755.EFB.18.10.11.lane1.NoIndex.L001 -3.204000 \n", + "755.INB.20.09.11.lane1.NoIndex.L001 -3.204000 \n", + "755.EFA.20.09.11.lane1.NoIndex.L001 -3.204000 \n", + "755.INB.17.05.11.lane1.NoIndex.L001 -3.204000 \n", + "804.3862.1219 -42.120113 \n", + "804.3862.1325 -42.120113 \n", + "804.3869.1404 -42.120154 \n", + "804.3869.1446 -42.120154 \n", + "804.3876.1104 -42.119107 \n", + "804.3876.1436 -42.120061 \n", + "804.3867.1228.2 -42.119024 \n", + "804.3867.1228.4 -42.119024 \n", + "804.3867.1228.5 -42.119024 \n", "... ... \n", - "2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoInd... 152.79790 \n", - "2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... 147.01810 \n", - "2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoInde... 147.02320 \n", - "2229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoInde... 148.00170 \n", - "2229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoInde... 147.97580 \n", - "2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... 148.30330 \n", - "2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoInde... 148.30300 \n", - "2300.BB.4087.anus -95.98628 \n", - "2300.BB.4087.lavage20 -95.98628 \n", - "2300.BB.08.lavage20 -95.98628 \n", + "2229.S2.T12.PH4.Thomas.CMB.Seaweed.lane6.NoInde... 146.956700 \n", + "2229.S2.T2.4.HP1.Thomas.CMB.Seaweed.lane6.NoInd... 147.968100 \n", + "2229.S2.T2.6.HP1.Thomas.CMB.Seaweed.lane6.NoInd... 147.946000 \n", + "2229.S2.T2.6.HP4.Thomas.CMB.Seaweed.lane6.NoInd... 147.946000 \n", + "2229.S2.T21.ES1.Thomas.CMB.Seaweed.lane6.NoInde... 148.001700 \n", + "2229.S2.T21.PS4.Thomas.CMB.Seaweed.lane6.NoInde... 148.001700 \n", + "2229.S2.T22.ES2.Thomas.CMB.Seaweed.lane6.NoInde... 147.975800 \n", + "2229.S2.T3.6.HP1.Thomas.CMB.Seaweed.lane6.NoInd... 148.306000 \n", + "2229.T.B.I.2.HE2.Thomas.CMB.Seaweed.lane6.NoInd... 151.232400 \n", + "2229.T.B.I.2.SE2.Thomas.CMB.Seaweed.lane6.NoInd... 151.232400 \n", + "2229.T.B.I.3.HE4.Thomas.CMB.Seaweed.lane6.NoInd... 151.232400 \n", + "2229.T.L.B.3.HE1.Thomas.CMB.Seaweed.lane6.NoInd... 151.256100 \n", + "2229.W1.N3.4.SE2.Thomas.CMB.Seaweed.lane6.NoInd... 152.843300 \n", + "2229.W1.N3.5.HE5.Thomas.CMB.Seaweed.lane6.NoInd... 152.797900 \n", + "2229.W1.T1.4.HP3.Thomas.CMB.Seaweed.lane5.NoInd... 147.018100 \n", + "2229.W1.T11.EH1.Thomas.CMB.Seaweed.lane5.NoInde... 147.355100 \n", + "2229.W1.T12.EH5.Thomas.CMB.Seaweed.lane5.NoInde... 146.956700 \n", + "2229.W1.T2.5.HP2.Thomas.CMB.Seaweed.lane5.NoInd... 147.934300 \n", + "2229.W1.T22.PH2.Thomas.CMB.Seaweed.lane6.NoInde... 147.975800 \n", + "2229.W1.T3.6.HP2.Thomas.CMB.Seaweed.lane5.NoInd... 148.306000 \n", + "2229.W1.T31.EH4.Thomas.CMB.Seaweed.lane5.NoInde... 148.321300 \n", + "2229.W1.T32.EH4.Thomas.CMB.Seaweed.lane5.NoInde... 148.278600 \n", + "2229.W1.T33.PH2.Thomas.CMB.Seaweed.lane6.NoInde... 148.303000 \n", + "2229.W1.T33.PS1.Thomas.CMB.Seaweed.lane6.NoInde... 148.303000 \n", + "2229.W2.N1.7.HE3.Thomas.CMB.Seaweed.lane6.NoInd... 151.297100 \n", + "2229.W2.N1.9.HE5.Thomas.CMB.Seaweed.lane6.NoInd... 151.232400 \n", + "2229.W2.N22.EH5.Thomas.CMB.Seaweed.lane5.NoInde... 150.233200 \n", + "2229.W2.N23.EH5.Thomas.CMB.Seaweed.lane5.NoInde... 150.237200 \n", + "2229.W2.N23.ES3.Thomas.CMB.Seaweed.lane5.NoInde... 150.237200 \n", + "2229.W2.N3.4.HE3.Thomas.CMB.Seaweed.lane6.NoInd... 152.843300 \n", + "2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoInd... 152.797900 \n", + "2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... 147.018100 \n", + "2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoInde... 147.023200 \n", + "2229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoInde... 148.001700 \n", + "2229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoInde... 147.975800 \n", + "2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... 148.303300 \n", + "2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoInde... 148.303000 \n", + "2300.BB.4087.anus -95.986280 \n", + "2300.BB.4087.lavage20 -95.986280 \n", + "2300.BB.08.lavage20 -95.986280 \n", "\n", " temperature_deg_c \\\n", "#SampleID \n", @@ -5561,7 +9006,67 @@ "723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... -1.648100 \n", "723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137R... -1.648000 \n", "723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS137... -1.650800 \n", + "723.C9.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R... -1.653100 \n", + "723.C10.3m.G3.Catlin1.16Spool.110602.HWI.EAS137... -1.651800 \n", + "723.C10.5m.L3.Catlin1.16Spool.110602.HWI.EAS137... -1.651700 \n", + "723.C11.0m.L3.Catlin1.16Spool.110602.HWI.EAS137... -1.645300 \n", + "723.C11.0m.G3.Catlin1.16Spool.110602.HWI.EAS137... -1.645300 \n", + "723.IC1.S3.G3.Catlin2.16Spool.110602.HWI.EAS137... 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"804.3869.1446 70.000000 \n", + "804.3876.1104 12.500000 \n", + "804.3876.1436 91.000000 \n", + "804.3867.1228.2 28.000000 \n", + "804.3867.1228.4 28.000000 \n", + "804.3867.1228.5 28.000000 \n", "... ... \n", + "2229.S2.T12.PH4.Thomas.CMB.Seaweed.lane6.NoInde... 20.273823 \n", + "2229.S2.T2.4.HP1.Thomas.CMB.Seaweed.lane6.NoInd... 12.535678 \n", + "2229.S2.T2.6.HP1.Thomas.CMB.Seaweed.lane6.NoInd... 12.350617 \n", + "2229.S2.T2.6.HP4.Thomas.CMB.Seaweed.lane6.NoInd... 12.350617 \n", + "2229.S2.T21.ES1.Thomas.CMB.Seaweed.lane6.NoInde... 18.000000 \n", + "2229.S2.T21.PS4.Thomas.CMB.Seaweed.lane6.NoInde... 18.000000 \n", + "2229.S2.T22.ES2.Thomas.CMB.Seaweed.lane6.NoInde... 20.200000 \n", + "2229.S2.T3.6.HP1.Thomas.CMB.Seaweed.lane6.NoInd... 12.600000 \n", + "2229.T.B.I.2.HE2.Thomas.CMB.Seaweed.lane6.NoInd... 16.800000 \n", + "2229.T.B.I.2.SE2.Thomas.CMB.Seaweed.lane6.NoInd... 16.800000 \n", + "2229.T.B.I.3.HE4.Thomas.CMB.Seaweed.lane6.NoInd... 16.800000 \n", + 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"2229.S2.T2.4.HP1.Thomas.CMB.Seaweed.lane6.NoInd... marine biome \n", + "2229.S2.T2.6.HP1.Thomas.CMB.Seaweed.lane6.NoInd... marine biome \n", + "2229.S2.T2.6.HP4.Thomas.CMB.Seaweed.lane6.NoInd... marine biome \n", + "2229.S2.T21.ES1.Thomas.CMB.Seaweed.lane6.NoInde... marine biome \n", + "2229.S2.T21.PS4.Thomas.CMB.Seaweed.lane6.NoInde... marine biome \n", + "2229.S2.T22.ES2.Thomas.CMB.Seaweed.lane6.NoInde... marine biome \n", + "2229.S2.T3.6.HP1.Thomas.CMB.Seaweed.lane6.NoInd... marine biome \n", + "2229.T.B.I.2.HE2.Thomas.CMB.Seaweed.lane6.NoInd... marine biome \n", + "2229.T.B.I.2.SE2.Thomas.CMB.Seaweed.lane6.NoInd... marine biome \n", + "2229.T.B.I.3.HE4.Thomas.CMB.Seaweed.lane6.NoInd... marine biome \n", + "2229.T.L.B.3.HE1.Thomas.CMB.Seaweed.lane6.NoInd... marine biome \n", + "2229.W1.N3.4.SE2.Thomas.CMB.Seaweed.lane6.NoInd... marine biome \n", + "2229.W1.N3.5.HE5.Thomas.CMB.Seaweed.lane6.NoInd... marine biome \n", + "2229.W1.T1.4.HP3.Thomas.CMB.Seaweed.lane5.NoInd... marine biome \n", + "2229.W1.T11.EH1.Thomas.CMB.Seaweed.lane5.NoInde... marine biome \n", + "2229.W1.T12.EH5.Thomas.CMB.Seaweed.lane5.NoInde... marine biome \n", + "2229.W1.T2.5.HP2.Thomas.CMB.Seaweed.lane5.NoInd... marine biome \n", + "2229.W1.T22.PH2.Thomas.CMB.Seaweed.lane6.NoInde... marine biome \n", + "2229.W1.T3.6.HP2.Thomas.CMB.Seaweed.lane5.NoInd... marine biome \n", + "2229.W1.T31.EH4.Thomas.CMB.Seaweed.lane5.NoInde... marine biome \n", + "2229.W1.T32.EH4.Thomas.CMB.Seaweed.lane5.NoInde... marine biome \n", + "2229.W1.T33.PH2.Thomas.CMB.Seaweed.lane6.NoInde... marine biome \n", + "2229.W1.T33.PS1.Thomas.CMB.Seaweed.lane6.NoInde... marine biome \n", + "2229.W2.N1.7.HE3.Thomas.CMB.Seaweed.lane6.NoInd... marine biome \n", + "2229.W2.N1.9.HE5.Thomas.CMB.Seaweed.lane6.NoInd... marine biome \n", + "2229.W2.N22.EH5.Thomas.CMB.Seaweed.lane5.NoInde... marine biome \n", + "2229.W2.N23.EH5.Thomas.CMB.Seaweed.lane5.NoInde... marine biome \n", + "2229.W2.N23.ES3.Thomas.CMB.Seaweed.lane5.NoInde... marine biome \n", + "2229.W2.N3.4.HE3.Thomas.CMB.Seaweed.lane6.NoInd... marine biome \n", + "2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoInd... marine biome \n", + "2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... marine biome \n", + "2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoInde... marine biome \n", + "2229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoInde... marine biome \n", + "2229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoInde... marine biome \n", + "2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoInd... marine biome \n", + "2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoInde... marine biome \n", + "2300.BB.4087.anus forest biome \n", + "2300.BB.4087.lavage20 forest biome \n", + "2300.BB.08.lavage20 forest biome \n", "\n", "[411 rows x 7 columns]" ] }, - "execution_count": 50, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# then we will drop the '#SampleID' column\n", - "df.drop('#SampleID', axis=1, inplace=True)\n", + "# before proceeding, let's change the index to match '#SampleID' column\n", + "df.set_index('#SampleID', inplace=True)\n", "df" ] }, { "cell_type": "code", - "execution_count": 51, - "metadata": {}, + "execution_count": 62, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { "text/plain": [ - "#SampleID \n", - "678.OA.mesocosm.362 study_id 678\n", - " observations_deblur_90bp 40702\n", - " latitude_deg 50.338\n", - " longitude_deg -4.148\n", - " temperature_deg_c 11\n", - " empo_3 Sediment (saline)\n", - " envo_biome_2 marine biome\n", - "678.OA.mesocosm.376 study_id 678\n", - " observations_deblur_90bp 15180\n", - " latitude_deg 50.338\n", - " ... \n", - "2300.BB.4087.lavage20 temperature_deg_c 35.0556\n", - " empo_3 Animal distal gut\n", - " envo_biome_2 forest biome\n", - "2300.BB.08.lavage20 study_id 2300\n", - " observations_deblur_90bp 82534\n", - " latitude_deg 47.9371\n", - " longitude_deg -95.9863\n", - " temperature_deg_c 36.2222\n", - " empo_3 Animal distal gut\n", - " envo_biome_2 forest biome\n", + "#SampleID \n", + "678.OA.mesocosm.362 study_id 678\n", + " observations_deblur_90bp 40702\n", + " latitude_deg 50.338\n", + " longitude_deg -4.148\n", + " temperature_deg_c 11\n", + " empo_3 Sediment (saline)\n", + " envo_biome_2 marine biome\n", + "678.OA.mesocosm.376 study_id 678\n", + " observations_deblur_90bp 15180\n", + " latitude_deg 50.338\n", + " longitude_deg -4.148\n", + " temperature_deg_c 10.8\n", + " empo_3 Sediment (saline)\n", + " envo_biome_2 marine biome\n", + "678.OA.mesocosm.410 study_id 678\n", + " observations_deblur_90bp 18674\n", + " latitude_deg 50.338\n", + " longitude_deg -4.148\n", + " temperature_deg_c 12.1\n", + " empo_3 Sediment (saline)\n", + " envo_biome_2 marine biome\n", + "678.OA.mesocosm.417 study_id 678\n", + " observations_deblur_90bp 53128\n", + " latitude_deg 50.338\n", + " longitude_deg -4.148\n", + " temperature_deg_c 11\n", + " empo_3 Sediment (saline)\n", + " envo_biome_2 marine biome\n", + "678.OA.mesocosm.431 study_id 678\n", + " observations_deblur_90bp 20626\n", + " latitude_deg 50.338\n", + " longitude_deg -4.148\n", + " temperature_deg_c 11.1\n", + " empo_3 Sediment (saline)\n", + " envo_biome_2 marine biome\n", + "678.OA.mesocosm.438 study_id 678\n", + " observations_deblur_90bp 19904\n", + " latitude_deg 50.338\n", + " longitude_deg -4.148\n", + " temperature_deg_c 11.6\n", + " ... \n", + "2229.W2.T22.ES2.Thomas.CMB.Seaweed.lane5.NoIndex.L005 latitude_deg -43.1234\n", + " longitude_deg 147.976\n", + " temperature_deg_c 20.6\n", + " empo_3 Plant surface\n", + " envo_biome_2 marine biome\n", + "2229.W2.T3.4.HP1.Thomas.CMB.Seaweed.lane5.NoIndex.L005 study_id 2229\n", + " observations_deblur_90bp 36035\n", + " latitude_deg -41.871\n", + " longitude_deg 148.303\n", + " temperature_deg_c 18.3\n", + " empo_3 Plant surface\n", + " envo_biome_2 marine biome\n", + "2229.W2.T33.PS5.Thomas.CMB.Seaweed.lane6.NoIndex.L006 study_id 2229\n", + " observations_deblur_90bp 57826\n", + " latitude_deg -41.8693\n", + " longitude_deg 148.303\n", + " temperature_deg_c 20.237\n", + " empo_3 Plant surface\n", + " envo_biome_2 marine biome\n", + "2300.BB.4087.anus study_id 2300\n", + " observations_deblur_90bp 102404\n", + " latitude_deg 47.9371\n", + " longitude_deg -95.9863\n", + " temperature_deg_c 35.0556\n", + " empo_3 Animal distal gut\n", + " envo_biome_2 forest biome\n", + "2300.BB.4087.lavage20 study_id 2300\n", + " observations_deblur_90bp 100213\n", + " latitude_deg 47.9371\n", + " longitude_deg -95.9863\n", + " temperature_deg_c 35.0556\n", + " empo_3 Animal distal gut\n", + " envo_biome_2 forest biome\n", + "2300.BB.08.lavage20 study_id 2300\n", + " observations_deblur_90bp 82534\n", + " latitude_deg 47.9371\n", + " longitude_deg -95.9863\n", + " temperature_deg_c 36.2222\n", + " empo_3 Animal distal gut\n", + " envo_biome_2 forest biome\n", "Length: 2877, dtype: object" ] }, - "execution_count": 51, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -5681,7 +9368,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 63, "metadata": { "scrolled": false }, @@ -5692,7 +9379,7 @@ "pandas.core.series.Series" ] }, - "execution_count": 52, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } @@ -5703,7 +9390,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 64, "metadata": {}, "outputs": [ { @@ -5719,7 +9406,7 @@ "dtype: object" ] }, - "execution_count": 53, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -5731,7 +9418,34 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "study_id 678\n", + "observations_deblur_90bp 40702\n", + "latitude_deg 50.338\n", + "longitude_deg -4.148\n", + "temperature_deg_c 11\n", + "empo_3 Sediment (saline)\n", + "envo_biome_2 marine biome\n", + "Name: 678.OA.mesocosm.362, dtype: object" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.loc['678.OA.mesocosm.362']" + ] + }, + { + "cell_type": "code", + "execution_count": 66, "metadata": { "scrolled": true }, @@ -5742,7 +9456,7 @@ "11.0" ] }, - "execution_count": 54, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } @@ -5754,7 +9468,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -5763,7 +9477,7 @@ "11.0" ] }, - "execution_count": 55, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -5774,7 +9488,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 68, "metadata": { "scrolled": true }, @@ -5785,7 +9499,7 @@ "11.0" ] }, - "execution_count": 56, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } @@ -5796,7 +9510,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 69, "metadata": {}, "outputs": [ { @@ -5813,8 +9527,68 @@ " 723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence 723\n", " 723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence 723\n", " 723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence 723\n", + " 723.C9.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence 723\n", + " 723.C10.3m.G3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence 723\n", + " 723.C10.5m.L3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence 723\n", + " 723.C11.0m.L3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence 723\n", + " 723.C11.0m.G3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence 723\n", + " 723.IC1.S3.G3.Catlin2.16Spool.110602.HWI.EAS137R.0375.s.5.1.sequence 723\n", + " 723.IC3.S1.L3.Catlin2.16Spool.110602.HWI.EAS137R.0375.s.5.1.sequence 723\n", + " 723.IC3.S3.L3.Catlin2.16Spool.110602.HWI.EAS137R.0375.s.5.1.sequence 723\n", + " 723.IC4.S3.L3.Catlin2.16Spool.110602.HWI.EAS137R.0375.s.5.1.sequence 723\n", + " 755.EF.DELTA.26.05.11.lane1.NoIndex.L001 755\n", + " 755.EF.GAMMA.09.06.11.lane1.NoIndex.L001 755\n", + " 755.INB.24.08.11.lane1.NoIndex.L001 755\n", + " 755.INA.19.07.11.lane1.NoIndex.L001 755\n", + " 755.INB.26.07.11.lane1.NoIndex.L001 755\n", + " 755.LSSF.ALPHA.D20.16.06.11.lane1.NoIndex.L001 755\n", + " 755.LAB.IN.22.07.11.lane1.NoIndex.L001 755\n", + " 755.EF.BETA.30.06.11.lane1.NoIndex.L001 755\n", + " 755.EFB.18.10.11.lane1.NoIndex.L001 755\n", + " 755.INB.20.09.11.lane1.NoIndex.L001 755\n", + " 755.EFA.20.09.11.lane1.NoIndex.L001 755\n", + " 755.INB.17.05.11.lane1.NoIndex.L001 755\n", + " 804.3862.1219 804\n", + " 804.3862.1325 804\n", + " 804.3869.1404 804\n", + " 804.3869.1446 804\n", + " 804.3876.1104 804\n", + " 804.3876.1436 804\n", + " 804.3867.1228.2 804\n", + " 804.3867.1228.4 804\n", + " 804.3867.1228.5 804\n", " ... \n", - "envo_biome_2 2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoIndex.L005 marine biome\n", + "envo_biome_2 2229.S2.T12.PH4.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.S2.T2.4.HP1.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.S2.T2.6.HP1.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.S2.T2.6.HP4.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.S2.T21.ES1.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.S2.T21.PS4.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.S2.T22.ES2.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.S2.T3.6.HP1.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.T.B.I.2.HE2.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.T.B.I.2.SE2.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.T.B.I.3.HE4.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.T.L.B.3.HE1.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.W1.N3.4.SE2.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.W1.N3.5.HE5.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.W1.T1.4.HP3.Thomas.CMB.Seaweed.lane5.NoIndex.L005 marine biome\n", + " 2229.W1.T11.EH1.Thomas.CMB.Seaweed.lane5.NoIndex.L005 marine biome\n", + " 2229.W1.T12.EH5.Thomas.CMB.Seaweed.lane5.NoIndex.L005 marine biome\n", + " 2229.W1.T2.5.HP2.Thomas.CMB.Seaweed.lane5.NoIndex.L005 marine biome\n", + " 2229.W1.T22.PH2.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.W1.T3.6.HP2.Thomas.CMB.Seaweed.lane5.NoIndex.L005 marine biome\n", + " 2229.W1.T31.EH4.Thomas.CMB.Seaweed.lane5.NoIndex.L005 marine biome\n", + " 2229.W1.T32.EH4.Thomas.CMB.Seaweed.lane5.NoIndex.L005 marine biome\n", + " 2229.W1.T33.PH2.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.W1.T33.PS1.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.W2.N1.7.HE3.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.W2.N1.9.HE5.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.W2.N22.EH5.Thomas.CMB.Seaweed.lane5.NoIndex.L005 marine biome\n", + " 2229.W2.N23.EH5.Thomas.CMB.Seaweed.lane5.NoIndex.L005 marine biome\n", + " 2229.W2.N23.ES3.Thomas.CMB.Seaweed.lane5.NoIndex.L005 marine biome\n", + " 2229.W2.N3.4.HE3.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", + " 2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoIndex.L005 marine biome\n", " 2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoIndex.L005 marine biome\n", " 2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoIndex.L005 marine biome\n", " 2229.W2.T21.PH3.Thomas.CMB.Seaweed.lane6.NoIndex.L006 marine biome\n", @@ -5827,7 +9601,7 @@ "Length: 2877, dtype: object" ] }, - "execution_count": 57, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } @@ -5840,7 +9614,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 70, "metadata": {}, "outputs": [ { @@ -5849,7 +9623,7 @@ "pandas.core.series.Series" ] }, - "execution_count": 58, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -5860,7 +9634,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 71, "metadata": { "scrolled": false }, @@ -5879,7 +9653,67 @@ "723.C7.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence -1.6481\n", "723.C7.5m.G3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence -1.648\n", "723.C8.10m.G3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence -1.6508\n", + "723.C9.3m.L3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence -1.6531\n", + "723.C10.3m.G3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence -1.6518\n", + "723.C10.5m.L3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence -1.6517\n", + "723.C11.0m.L3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence -1.6453\n", + "723.C11.0m.G3.Catlin1.16Spool.110602.HWI.EAS137R.0375.s.3.1.sequence -1.6453\n", + "723.IC1.S3.G3.Catlin2.16Spool.110602.HWI.EAS137R.0375.s.5.1.sequence -5\n", + "723.IC3.S1.L3.Catlin2.16Spool.110602.HWI.EAS137R.0375.s.5.1.sequence -15\n", + "723.IC3.S3.L3.Catlin2.16Spool.110602.HWI.EAS137R.0375.s.5.1.sequence -5\n", + "723.IC4.S3.L3.Catlin2.16Spool.110602.HWI.EAS137R.0375.s.5.1.sequence -5\n", + "755.EF.DELTA.26.05.11.lane1.NoIndex.L001 14.06\n", + "755.EF.GAMMA.09.06.11.lane1.NoIndex.L001 14.6\n", + "755.INB.24.08.11.lane1.NoIndex.L001 15.44\n", + "755.INA.19.07.11.lane1.NoIndex.L001 16.66\n", + "755.INB.26.07.11.lane1.NoIndex.L001 16.9\n", + "755.LSSF.ALPHA.D20.16.06.11.lane1.NoIndex.L001 19\n", + "755.LAB.IN.22.07.11.lane1.NoIndex.L001 18.06\n", + "755.EF.BETA.30.06.11.lane1.NoIndex.L001 14.3\n", + "755.EFB.18.10.11.lane1.NoIndex.L001 9.48\n", + "755.INB.20.09.11.lane1.NoIndex.L001 13.12\n", + "755.EFA.20.09.11.lane1.NoIndex.L001 14.9\n", + "755.INB.17.05.11.lane1.NoIndex.L001 12.32\n", + "804.3862.1219 88\n", + "804.3862.1325 88\n", + "804.3869.1404 70\n", + "804.3869.1446 70\n", + "804.3876.1104 12.5\n", + "804.3876.1436 91\n", + "804.3867.1228.2 28\n", + "804.3867.1228.4 28\n", + "804.3867.1228.5 28\n", " ... \n", + "2229.S2.T12.PH4.Thomas.CMB.Seaweed.lane6.NoIndex.L006 20.2738\n", + "2229.S2.T2.4.HP1.Thomas.CMB.Seaweed.lane6.NoIndex.L006 12.5357\n", + "2229.S2.T2.6.HP1.Thomas.CMB.Seaweed.lane6.NoIndex.L006 12.3506\n", + "2229.S2.T2.6.HP4.Thomas.CMB.Seaweed.lane6.NoIndex.L006 12.3506\n", + "2229.S2.T21.ES1.Thomas.CMB.Seaweed.lane6.NoIndex.L006 18\n", + "2229.S2.T21.PS4.Thomas.CMB.Seaweed.lane6.NoIndex.L006 18\n", + "2229.S2.T22.ES2.Thomas.CMB.Seaweed.lane6.NoIndex.L006 20.2\n", + "2229.S2.T3.6.HP1.Thomas.CMB.Seaweed.lane6.NoIndex.L006 12.6\n", + "2229.T.B.I.2.HE2.Thomas.CMB.Seaweed.lane6.NoIndex.L006 16.8\n", + "2229.T.B.I.2.SE2.Thomas.CMB.Seaweed.lane6.NoIndex.L006 16.8\n", + "2229.T.B.I.3.HE4.Thomas.CMB.Seaweed.lane6.NoIndex.L006 16.8\n", + "2229.T.L.B.3.HE1.Thomas.CMB.Seaweed.lane6.NoIndex.L006 16.9\n", + "2229.W1.N3.4.SE2.Thomas.CMB.Seaweed.lane6.NoIndex.L006 13.3337\n", + "2229.W1.N3.5.HE5.Thomas.CMB.Seaweed.lane6.NoIndex.L006 12.6\n", + "2229.W1.T1.4.HP3.Thomas.CMB.Seaweed.lane5.NoIndex.L005 12.5763\n", + "2229.W1.T11.EH1.Thomas.CMB.Seaweed.lane5.NoIndex.L005 18.036\n", + "2229.W1.T12.EH5.Thomas.CMB.Seaweed.lane5.NoIndex.L005 16.9\n", + "2229.W1.T2.5.HP2.Thomas.CMB.Seaweed.lane5.NoIndex.L005 16.9\n", + "2229.W1.T22.PH2.Thomas.CMB.Seaweed.lane6.NoIndex.L006 20.2\n", + "2229.W1.T3.6.HP2.Thomas.CMB.Seaweed.lane5.NoIndex.L005 16.9\n", + "2229.W1.T31.EH4.Thomas.CMB.Seaweed.lane5.NoIndex.L005 16.7127\n", + "2229.W1.T32.EH4.Thomas.CMB.Seaweed.lane5.NoIndex.L005 17.7\n", + "2229.W1.T33.PH2.Thomas.CMB.Seaweed.lane6.NoIndex.L006 16.6\n", + "2229.W1.T33.PS1.Thomas.CMB.Seaweed.lane6.NoIndex.L006 16.6\n", + "2229.W2.N1.7.HE3.Thomas.CMB.Seaweed.lane6.NoIndex.L006 12.9107\n", + "2229.W2.N1.9.HE5.Thomas.CMB.Seaweed.lane6.NoIndex.L006 12.9936\n", + "2229.W2.N22.EH5.Thomas.CMB.Seaweed.lane5.NoIndex.L005 16.98\n", + "2229.W2.N23.EH5.Thomas.CMB.Seaweed.lane5.NoIndex.L005 20.2\n", + "2229.W2.N23.ES3.Thomas.CMB.Seaweed.lane5.NoIndex.L005 20.6\n", + "2229.W2.N3.4.HE3.Thomas.CMB.Seaweed.lane6.NoIndex.L006 12.9936\n", "2229.W2.N3.5.HP2.Thomas.CMB.Seaweed.lane5.NoIndex.L005 15.6\n", "2229.W2.T1.4.HP1.Thomas.CMB.Seaweed.lane5.NoIndex.L005 15.5\n", "2229.W2.T13.EH4.Thomas.CMB.Seaweed.lane5.NoIndex.L005 18\n", @@ -5893,7 +9727,7 @@ "Length: 411, dtype: object" ] }, - "execution_count": 59, + "execution_count": 71, "metadata": {}, "output_type": "execute_result" } @@ -5905,7 +9739,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 72, "metadata": { "scrolled": true }, @@ -5916,7 +9750,7 @@ "11.0" ] }, - "execution_count": 60, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } @@ -5928,7 +9762,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 73, "metadata": {}, "outputs": [ { @@ -5937,7 +9771,7 @@ "11.0" ] }, - "execution_count": 61, + "execution_count": 73, "metadata": {}, "output_type": "execute_result" } @@ -5948,7 +9782,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 74, "metadata": {}, "outputs": [ { @@ -5957,7 +9791,7 @@ "11.0" ] }, - "execution_count": 62, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -5965,6 +9799,13 @@ "source": [ "df_unstack['temperature_deg_c', '678.OA.mesocosm.362']" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From 1bc00a7aa5d7c9c9768b0ac89c1218eb597c8bb2 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Thu, 22 Nov 2018 12:38:18 -0800 Subject: [PATCH 56/78] updates to assignment 8 and others --- assignments/answers/assignment3_answers.ipynb | 52 +- assignments/answers/assignment6_answers.ipynb | 34 +- assignments/answers/assignment7_answers.ipynb | 494 ++++++++++++++++++ assignments/assignment7.md | 9 +- assignments/assignment8.md | 4 +- 5 files changed, 544 insertions(+), 49 deletions(-) create mode 100644 assignments/answers/assignment7_answers.ipynb diff --git a/assignments/answers/assignment3_answers.ipynb b/assignments/answers/assignment3_answers.ipynb index 827821b..ae330ae 100644 --- a/assignments/answers/assignment3_answers.ipynb +++ b/assignments/answers/assignment3_answers.ipynb @@ -15,7 +15,7 @@ "source": [ "#### Answer to A. Python basics, strings, printing (Shaw Exercises 1–10)\n", "\n", - "Q1. Take the file of Python code you generated in Exercise 1, called `ex1.py`, and run it on the command line. Copy the command and output from your terminal and paste it in a markdown cell in your Jupyter notebook. (Ex1)" + "A1. Take the file of Python code you generated in Exercise 1, called `ex1.py`, and run it on the command line. Copy the command and output from your terminal and paste it in a markdown cell in your Jupyter notebook. (Ex1)" ] }, { @@ -75,7 +75,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q2. Print a sentence that contains a phrase in double quotes; print a sentence that contains an apostrophe. (Ex1)" + "A2. Print a sentence that contains a phrase in double quotes; print a sentence that contains an apostrophe. (Ex1)" ] }, { @@ -110,7 +110,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q3. Deliberately enter five incorrect commands (in separate cells) and interpret the error messages. (Ex1)" + "A3. Deliberately enter five incorrect commands (in separate cells) and interpret the error messages. (Ex1)" ] }, { @@ -261,7 +261,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q4. Add comments to your code in \\#2 and \\#3 explaining what is happening. (Ex2)" + "A4. Add comments to your code in \\#2 and \\#3 explaining what is happening. (Ex2)" ] }, { @@ -275,7 +275,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q5. Write and evaluate five mathematical expressions. (Ex3)" + "A5. Write and evaluate five mathematical expressions. (Ex3)" ] }, { @@ -444,7 +444,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q6. Assign values to three numeric and three string variables. (Ex4)" + "A6. Assign values to three numeric and three string variables. (Ex4)" ] }, { @@ -472,7 +472,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q7. Print values of the six variables you assigned in \\#6. (Ex4–5)" + "A7. Print values of the six variables you assigned in \\#6. (Ex4–5)" ] }, { @@ -505,7 +505,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q8. Print two strings in raw format (%r formatter) and two strings in general/string format (%s formatter) with formatting characters. (Ch6)" + "A8. Print two strings in raw format (%r formatter) and two strings in general/string format (%s formatter) with formatting characters. (Ch6)" ] }, { @@ -538,7 +538,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q9. Concatenate two strings into a third string, then find the length of all three strings." + "A9. Concatenate two strings into a third string, then find the length of all three strings." ] }, { @@ -575,7 +575,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q10. Print the three strings from \\#9 with a tab between the first and second and a newline between the second and third." + "A10. Print the three strings from \\#9 with a tab between the first and second and a newline between the second and third." ] }, { @@ -607,7 +607,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q11. Print the three strings from \\#9 with a stored formatter. (Ch7–8)" + "A11. Print the three strings from \\#9 with a stored formatter. (Ch7–8)" ] }, { @@ -640,7 +640,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q12. Print a piece of text with five lines using both newline characters and a text block. (Ex9)" + "A12. Print a piece of text with five lines using both newline characters and a text block. (Ex9)" ] }, { @@ -705,7 +705,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q13. Print a string containing a backslash, single-quote, double-qoute, newline, and tab. (Ex10)" + "A13. Print a string containing a backslash, single-quote, double-qoute, newline, and tab. (Ex10)" ] }, { @@ -739,7 +739,7 @@ "source": [ "#### Answer to B. Taking input, reading and writing files, functions (Shaw Exercises 11-26) \n", "\n", - "Q1. Write some code, without using functions, that calculates the average of 5 numbers. Do it three different ways:\n", + "B1. Write some code, without using functions, that calculates the average of 5 numbers. Do it three different ways:\n", "\n", "- Write a .py file that takes input from the command line using `input()`. After the script works, paste the text of the file into your Jupyter notebook.\n", "- Write a .py file that takes input from the command line using `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", @@ -750,7 +750,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Answer for 1-1:" + "Answer to B1-1:" ] }, { @@ -780,7 +780,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Answer for 1-2:" + "Answer to B1-2:" ] }, { @@ -816,7 +816,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Answer for 1-3:" + "Answer to B1-3:" ] }, { @@ -852,7 +852,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q2. Using functions, write some code that takes two strings, prints them with the first letter capitalized, prints them with all letters capitalized, prints the first and last letter of each, prints the length of each, and then prints the concatenation of the two strings. Do it two different ways:\n", + "B2. Using functions, write some code that takes two strings, prints them with the first letter capitalized, prints them with all letters capitalized, prints the first and last letter of each, prints the length of each, and then prints the concatenation of the two strings. Do it two different ways:\n", "\n", "- Write a .py file that uses `argv`. After the script works, paste the text of the file into your Jupyter notebook.\n", "- In your Jupyter notebook, comment out the `argv` portions and hard code in the values of your strings. Then make sure the code runs the same." @@ -862,7 +862,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Answer for 2-1:" + "Answer to B2-1:" ] }, { @@ -891,7 +891,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Answer for 2-2:" + "Answer to B2-2:" ] }, { @@ -931,7 +931,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q3. Using a text editor, create a comma-separated values (CSV) file with 5 columns and 5 rows. Save it in the same directory as your Jupyter notebook. In the Jupyter notebook, read and print the file in different ways, and write new files, as follows:\n", + "B3. Using a text editor, create a comma-separated values (CSV) file with 5 columns and 5 rows. Save it in the same directory as your Jupyter notebook. In the Jupyter notebook, read and print the file in different ways, and write new files, as follows:\n", "\n", "- Read your CSV file using `read()`, `readline()`, or `readlines()`, and print the output to the screen (`print()` command is optional in notebooks!).\n", "- Do the same but use a `with` block and a different one of `read()`, `readline()`, or `readlines()`.\n", @@ -944,7 +944,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Answer for 3-1:" + "Answer to B3-1:" ] }, { @@ -975,7 +975,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Answer for 3-2:" + "Answer to B3-2:" ] }, { @@ -1005,7 +1005,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Answer for 3-3:" + "Answer to B3-3:" ] }, { @@ -1050,7 +1050,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Answer for 3-4:" + "Answer to B3-4:" ] }, { @@ -1149,7 +1149,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Answer for 3-5:" + "Answer to B3-5:" ] }, { diff --git a/assignments/answers/assignment6_answers.ipynb b/assignments/answers/assignment6_answers.ipynb index 37edb4e..b490786 100644 --- a/assignments/answers/assignment6_answers.ipynb +++ b/assignments/answers/assignment6_answers.ipynb @@ -51,7 +51,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q1. Import the tab-separated values file `emp_qiime_mapping_subset_2k.tsv` as a DataFrame called `df` with default data types, with the first row as column labels (columns) and the first column as row labels (indexes)." + "A1. Import the tab-separated values file `emp_qiime_mapping_subset_2k.tsv` as a DataFrame called `df` with default data types, with the first row as column labels (columns) and the first column as row labels (indexes)." ] }, { @@ -67,7 +67,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q2. The indexes should be the sample IDs. How many samples are in this DataFrame? How many metadata columns?" + "A2. The indexes should be the sample IDs. How many samples are in this DataFrame? How many metadata columns?" ] }, { @@ -96,7 +96,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q3. What are the minimum and maximum pH values in the dataset?" + "A3. What are the minimum and maximum pH values in the dataset?" ] }, { @@ -123,7 +123,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q4. What are the average and standard deviation temperature values in the dataset?" + "A4. What are the average and standard deviation temperature values in the dataset?" ] }, { @@ -480,7 +480,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q1. Make a new Series called `temp` with the temperature column as its own Series object. Remove NaN values (`np.nan`) from this Series. How many values are left?" + "B1. Make a new Series called `temp` with the temperature column as its own Series object. Remove NaN values (`np.nan`) from this Series. How many values are left?" ] }, { @@ -539,7 +539,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q2. Make a new DataFrame called `df_seqs` from columns `sequences_split_libraries` through `observations_deblur_150bp` (column positions 17-23) of the existing DataFrame. What is the mean value of `column observations_deblur_90bp`?" + "B2. Make a new DataFrame called `df_seqs` from columns `sequences_split_libraries` through `observations_deblur_150bp` (column positions 17-23) of the existing DataFrame. What is the mean value of `column observations_deblur_90bp`?" ] }, { @@ -913,7 +913,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q3. Save `df_seqs` as a csv file." + "B3. Save `df_seqs` as a csv file." ] }, { @@ -946,7 +946,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q1. Store the first 5 rows of `df_seqs` as a new dataframe called `df_seqs_head`. Store the last 5 rows of `df_seqs` as a new dataframe called `df_seqs_tail`." + "C1. Store the first 5 rows of `df_seqs` as a new dataframe called `df_seqs_head`. Store the last 5 rows of `df_seqs` as a new dataframe called `df_seqs_tail`." ] }, { @@ -973,7 +973,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q2. Concatenate `df_seqs_head` and `df_seqs_tail` using the `concat()` function." + "C2. Concatenate `df_seqs_head` and `df_seqs_tail` using the `concat()` function." ] }, { @@ -1232,7 +1232,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q3. Append `df_seqs_tail` to `df_seqs_head` using the `append()` function." + "C3. Append `df_seqs_tail` to `df_seqs_head` using the `append()` function." ] }, { @@ -1491,7 +1491,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q4. Make a new DataFrame called `df_phys` with the pH, temperature, and salinity columns (hint: you will need to know the exact column names; these are some of the last few columns). Make another new DataFrame called `df_empo` with the column `empo_3` (note: this will actually be a Series because it has only one column, but you can treat it like a DataFrame)." + "C4. Make a new DataFrame called `df_phys` with the pH, temperature, and salinity columns (hint: you will need to know the exact column names; these are some of the last few columns). Make another new DataFrame called `df_empo` with the column `empo_3` (note: this will actually be a Series because it has only one column, but you can treat it like a DataFrame)." ] }, { @@ -1516,7 +1516,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q5. Merge `df_phys` with `df_seqs` using the `merge()` function with the indexes of both DataFrames to make a new DataFrame called `df_merged`." + "C5. Merge `df_phys` with `df_seqs` using the `merge()` function with the indexes of both DataFrames to make a new DataFrame called `df_merged`." ] }, { @@ -1712,7 +1712,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q6. Join `df_merged` with `df_empo` using the `join()` function and store the result as `df_merged`." + "C6. Join `df_merged` with `df_empo` using the `join()` function and store the result as `df_merged`." ] }, { @@ -1922,7 +1922,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q1. Use a list comprehension to add a new column to `df_merged` called `temperature_deg_f` which takes the values in `temperature_deg_c` and converts them to degrees Fahrenheit." + "D1. Use a list comprehension to add a new column to `df_merged` called `temperature_deg_f` which takes the values in `temperature_deg_c` and converts them to degrees Fahrenheit." ] }, { @@ -1938,7 +1938,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q2. Create a function that changes a single numerical value from Celsius to Fahrenheit. Apply this function to the values in `temperature_deg_c` using `apply()` to create a new column called `temperature_deg_f_2`." + "D2. Create a function that changes a single numerical value from Celsius to Fahrenheit. Apply this function to the values in `temperature_deg_c` using `apply()` to create a new column called `temperature_deg_f_2`." ] }, { @@ -2146,7 +2146,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q1. Sort the rows in `df_merged` by `sequences_split_libraries` values from high to low and store the result as `df_merged`. (Hint: you can use `inplace=True`.)" + "E1. Sort the rows in `df_merged` by `sequences_split_libraries` values from high to low and store the result as `df_merged`. (Hint: you can use `inplace=True`.)" ] }, { @@ -2371,7 +2371,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Q2. Sort the columns in `df_merged` by column name from A to Z and store the result as `df_merged`. (Hint: you can use `inplace=True`.)" + "E2. Sort the columns in `df_merged` by column name from A to Z and store the result as `df_merged`. (Hint: you can use `inplace=True`.)" ] }, { diff --git a/assignments/answers/assignment7_answers.ipynb b/assignments/answers/assignment7_answers.ipynb new file mode 100644 index 0000000..3a10bfa --- /dev/null +++ b/assignments/answers/assignment7_answers.ipynb @@ -0,0 +1,494 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Answers to Assignment 7 - Plotting\n", + "\n", + "Complete the tasks below. Please turn in a single Jupyter notebook named `7_first_last.ipynb` (substitute your first and last name). Please run Kernel > Restart & Run All on your notebook before turning in.\n", + "\n", + "#### Moons of the Solar System\n", + "\n", + "For this assignment, we will collect and wrangle data about the moons orbiting planets in our Solar System, and then we will make some plots from those data." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# import the required packages\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# use seaborn defaults\n", + "sns.set()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### A. Data collection and wrangling\n", + "\n", + "A1. Find an online resource with data about the moons and planets of the Solar System (sizes and distances).\n", + "\n", + "A2. Create an Excel spreadsheet `moons.xlsx` with the following information about each moon (suggested column names shown): \n", + "\n", + "- Moon name (`moon_name`)\n", + "- Host planet name (`planet_name`)\n", + "- Moon diameter in kilometers (`moon_diameter_km`)\n", + "- Moon–planet distance in kilometers (`moon_planet_distance_km`)\n", + "\n", + "A3. Create an Excel spreadsheet `planets.xlsx` with the following information about each planet (suggested column names shown): \n", + "\n", + "- Planet name (`planet_name`)\n", + "- Planet diameter in kilometers (`planet_diameter_km`)\n", + "- Planet–Sun distance in kilometers (`planet_sun_distance_km`)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### B. Comparing moon diameters and volumes to their host planets" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "B1. Import `moons.xlsx` and `planets.xlsx` as Pandas DataFrames using `pd.read_excel()`." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "df_moons = pd.read_excel('../../data/moons.xlsx')\n", + "df_planets = pd.read_excel('../../data/planets.xlsx')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "B2. Merge the DataFrames using the planet names (hint: set `left_on=planet_name` and `right_on=planet_name`)." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "df_solar = pd.merge(df_moons, df_planets, left_on='planet_name', right_on='planet_name')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "B3. Calculate the volume of each moon and planet; add these to your DataFrame (suggested column names: `moon_volume_km3`, `planet_volume_km3`). (Reminder: Volume = 4/3 * Ο€ * (Diameter/2)**3.)\n", + "\n", + " $V = \\frac{4}{3} \\pi (\\frac{d}{2})^{3}$" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "df_solar['moon_volume_km3'] = 4/3*np.pi*(df_solar['moon_diameter_km']/2)**3\n", + "df_solar['planet_volume_km3'] = 4/3*np.pi*(df_solar['planet_diameter_km']/2)**3" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "B4. Using either Matplotlib or Seaborn, plot moon diameter versus host planet diameter (i.e., x-axis = `planet_diameter_km`, y-axis = `moon_diameter_km`) and label each moon next to its corresponding marker (but see B6). Save this plot as a PDF image." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# B4 using Matplotlib\n", + "\n", + "fig, ax = plt.subplots(figsize=(10,5))\n", + "# scatter plot with marker size proportional to moon diameter\n", + "ax.scatter(df_solar.planet_diameter_km, df_solar.moon_diameter_km, \n", + " s=df_solar.moon_diameter_km/1.5, facecolor='w', edgecolor='k', \n", + " marker='o', alpha=0.5)\n", + "# axis limits and labels\n", + "ax.set_xlim([-5000,155000])\n", + "ax.set_ylim([-500,6500])\n", + "ax.set_xlabel('Planet diameter (km)')\n", + "ax.set_ylabel('Moon diameter (km)')\n", + "# marker labels for moons larger than 2000 km\n", + "# options for markers: ax.text/plt.text, ax.annotate/plt.annotate\n", + "for index, row in df_solar.iterrows():\n", + " if row.moon_diameter_km > 2000:\n", + " ax.text(row.planet_diameter_km, row.moon_diameter_km, \n", + " '%s (%s)' % (row.moon_name, row.planet_name[0]), \n", + " ha='center', va='center')\n", + "# save pdf - bbox_inches='tight' trims the margins\n", + "fig.savefig('moon_planet_diameter.pdf', bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# B4 using Seaborn\n", + "\n", + "fig, ax = plt.subplots(figsize=(10,5))\n", + "# scatter plot with marker size proportional to moon diameter\n", + "sns.relplot(x='planet_diameter_km', y='moon_diameter_km', size='moon_diameter_km', sizes=(30,300),\n", + " data=df_solar, ax=ax)\n", + "# marker labels for moons larger than 2000 km\n", + "for index, row in df_solar.iterrows():\n", + " if row.moon_diameter_km > 2000:\n", + " ax.text(row.planet_diameter_km, row.moon_diameter_km, \n", + " '%s (%s)' % (row.moon_name, row.planet_name[0]), \n", + " ha='center', va='center');\n", + "# save pdf - bbox_inches='tight' trims the margins\n", + "fig.savefig('moon_planet_diameter_sns.pdf', bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "B5. Using either Matplotlib or Seaborn, plot moon volume versus host planet volume (i.e., x-axis = `planet_volume_km3`, y-axis = `moon_volume_km3`) and label each moon next to its corresponding marker (but see B6). Save this plot as a PDF image." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# B5 using Matplotlib\n", + "\n", + "fig, ax = plt.subplots(figsize=(10,5))\n", + "# scatter plot with marker size proportional to moon diameter\n", + "ax.scatter(df_solar.planet_volume_km3, df_solar.moon_volume_km3, \n", + " s=df_solar.moon_diameter_km/1.5, facecolor='w', edgecolor='k', \n", + " marker='o', alpha=0.5)\n", + "# axis limits and labels\n", + "ax.set_xlim([-1e14,1.6e15])\n", + "ax.set_ylim([-5e9,9e10])\n", + "ax.set_xlabel('Planet volume (km$^3$)')\n", + "ax.set_ylabel('Moon volume (km$^3$)')\n", + "# marker labels for moons larger than 2000 km\n", + "for index, row in df_solar.iterrows():\n", + " if row.moon_diameter_km > 2000:\n", + " ax.text(row.planet_volume_km3, row.moon_volume_km3, \n", + " '%s (%s)' % (row.moon_name, row.planet_name[0]), \n", + " ha='center', va='center')\n", + "# save pdf - bbox_inches='tight' trims the margins\n", + "fig.savefig('moon_planet_volume.pdf', bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# B5 using Seaborn\n", + "\n", + "fig, ax = plt.subplots(figsize=(10,5))\n", + "# scatter plot with marker size proportional to moon diameter\n", + "sns.relplot(x='planet_volume_km3', y='moon_volume_km3', size='moon_diameter_km', sizes=(30,300),\n", + " data=df_solar, ax=ax)\n", + "# marker labels for moons larger than 2000 km\n", + "for index, row in df_solar.iterrows():\n", + " if row.moon_diameter_km > 2000:\n", + " ax.text(row.planet_volume_km3, row.moon_volume_km3, \n", + " '%s (%s)' % (row.moon_name, row.planet_name[0]), \n", + " ha='center', va='center');\n", + "# save pdf - bbox_inches='tight' trims the margins\n", + "fig.savefig('moon_planet_volume_sns.pdf', bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "B6. Optional: Label only the moons larger than a certain size, to remove the label clutter around the smaller moons.\n", + "\n", + "B7. Optional: Resize the markers so they are proportional to moon diameter." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### C. Comparing moon and sun angular diameters\n", + "\n", + "C1. Calculate the angular diameter of each moon as if you were standing on the surface of its home planet; add these to your DataFrame (suggested column name: `moon_angular_diameter_arcsec`). (Reminder: Angular diameter in arcseconds = 206265 * Diameter / Distance.)\n", + "\n", + " $\\delta = 206265 \\times \\frac{d}{D}$" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "def angular_diameter(d, D):\n", + " ad = 206265 * d/D\n", + " return(ad)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "df_solar['moon_angular_diameter_arcsec'] = angular_diameter(df_solar.moon_diameter_km, \n", + " df_solar.moon_planet_distance_km)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "C2. Calculate the angular diameter of the Sun as if you were standing on the surface of each home planet; add these to your DataFrame (suggested column name: `sun_angular_diameter_arcsec`)." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "sun_diameter = 1392684" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "df_solar['sun_angular_diameter_arcsec'] = angular_diameter(sun_diameter,\n", + " df_solar.planet_sun_distance_km)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "C3. Using either Matplotlib or Seaborn, plot moon angular diameter versus Sun angular diameter for each moon (i.e., x-axis = `sun_angular_diameter_arcsec`, y-axis = `moon_angular_diameter_arcsec`) and label each moon next to its corresponding marker (but see B6). Add a line corresponding to a 1:1 ratio. Save this plot as a PDF image." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# C3 using Matplotlib\n", + "\n", + "fig, ax = plt.subplots(figsize=(7,7))\n", + "# scatter plot of moons with marker size proportional to moon angular diameter\n", + "ax.scatter(df_solar.sun_angular_diameter_arcsec, df_solar.moon_angular_diameter_arcsec, \n", + " s=df_solar.moon_angular_diameter_arcsec*1.5, facecolor='w', edgecolor='k', \n", + " marker='o', alpha=0.7, zorder=2)\n", + "# scatter plot of suns with marker size proportional to sun angular diameter\n", + "ax.scatter(df_solar.sun_angular_diameter_arcsec, df_solar.sun_angular_diameter_arcsec, \n", + " s=df_solar.sun_angular_diameter_arcsec*1.5, facecolor=sns.xkcd_rgb['yellow'], \n", + " edgecolor='k', marker='o', alpha=0.5, zorder=1)\n", + "# x=y line representing 1:1 ratio of moon to sun angular diameter\n", + "ax.plot([0,2000], [0,2000], ':', zorder=0)\n", + "# axis limits and labels\n", + "ax.set_xlim([-100,2100])\n", + "ax.set_ylim([-100,2100])\n", + "ax.set_xlabel('Sun angular diameter (arcsec)')\n", + "ax.set_ylabel('Moon angular diameter (arcsec)')\n", + "# marker labels for moons with angular diameter > 800 arcsec or solar angular diameter > 300 arcsec\n", + "for index, row in df_solar.iterrows():\n", + " if row.moon_angular_diameter_arcsec > 800 or row.sun_angular_diameter_arcsec > 300:\n", + " ax.text(row.sun_angular_diameter_arcsec, row.moon_angular_diameter_arcsec+50, \n", + " '%s (%s)' % (row.moon_name, row.planet_name[0]), \n", + " ha='center', va='center')\n", + "# save pdf - bbox_inches='tight' trims the margins\n", + "fig.savefig('moon_sun_angular_diameter.pdf', bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# C3 using Seaborn\n", + "\n", + "fig, ax = plt.subplots(figsize=(7,7))\n", + "# scatter plot with marker size proportional to moon diameter\n", + "sns.relplot(x='sun_angular_diameter_arcsec', y='moon_angular_diameter_arcsec', size='moon_diameter_km', sizes=(30,300),\n", + " data=df_solar, ax=ax)\n", + "# marker labels for moons with angular diameter > 800 arcsec or solar angular diameter > 300 arcsec\n", + "for index, row in df_solar.iterrows():\n", + " if row.moon_angular_diameter_arcsec > 800 or row.sun_angular_diameter_arcsec > 300:\n", + " ax.text(row.sun_angular_diameter_arcsec, row.moon_angular_diameter_arcsec+50, \n", + " '%s (%s)' % (row.moon_name, row.planet_name[0]), \n", + " ha='center', va='center')\n", + "# x=y line representing 1:1 ratio of moon to sun angular diameter\n", + "ax.plot([0,2000], [0,2000], ':', zorder=0)\n", + "# save pdf - bbox_inches='tight' trims the margins\n", + "fig.savefig('moon_sun_angular_diameter_sns.pdf', bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.1" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/assignments/assignment7.md b/assignments/assignment7.md index 475d6a4..d45ff1d 100644 --- a/assignments/assignment7.md +++ b/assignments/assignment7.md @@ -24,12 +24,13 @@ For this assignment, we will collect and wrangle data about the moons orbiting p 1. Import `moons.xlsx` and `planets.xlsx` as Pandas DataFrames using `pd.read_excel()`. 2. Merge the DataFrames using the planet names (hint: set `left_on=planet_name` and `right_on=planet_name`). 3. Calculate the volume of each moon and planet; add these to your DataFrame (suggested column names: `moon_volume_km3`, `planet_volume_km3`). (Reminder: Volume = 4/3 * Ο€ * (Diameter/2)**3.) -4. Using either Matplotlib or Seaborn, plot moon diameter versus host planet diameter (i.e., x-axis = `planet_diameter_km`, y-axis = `moon_diameter_km`) and label each moon next to its corresponding marker. Save this plot as a PDF image. -5. Using either Matplotlib or Seaborn, plot moon volume versus host planet volume (i.e., x-axis = `planet_volume_km3`, y-axis = `moon_volume_km3`) and label each moon next to its corresponding marker. Save this plot as a PDF image. -6. Optional: Go back to the plots and resize the markers so they are proportional to moon diameter. +4. Using either Matplotlib or Seaborn, plot moon diameter versus host planet diameter (i.e., x-axis = `planet_diameter_km`, y-axis = `moon_diameter_km`) and label each moon next to its corresponding marker (but see B6). Save this plot as a PDF image. +5. Using either Matplotlib or Seaborn, plot moon volume versus host planet volume (i.e., x-axis = `planet_volume_km3`, y-axis = `moon_volume_km3`) and label each moon next to its corresponding marker (but see B6). Save this plot as a PDF image. +6. Optional: Label only the moons larger than a certain size, to remove the label clutter around the smaller moons. +7. Optional: Resize the markers so they are proportional to moon diameter. #### C. Comparing moon and sun angular diameters 1. Calculate the angular diameter of each moon as if you were standing on the surface of its home planet; add these to your DataFrame (suggested column name: `moon_angular_diameter_arcsec`). (Reminder: Angular diameter in arcseconds = 206265 * Diameter / Distance.) 2. Calculate the angular diameter of the Sun as if you were standing on the surface of each home planet; add these to your DataFrame (suggested column name: `sun_angular_diameter_arcsec`). -3. Using either Matplotlib or Seaborn, plot moon angular diameter versus Sun angular diameter for each moon and label each moon next to its corresponding marker (i.e., x-axis = `sun_angular_diameter_arcsec`, y-axis = `moon_angular_diameter_arcsec`). Add a line corresponding to a 1:1 ratio. Save this plot as a PDF image. +3. Using either Matplotlib or Seaborn, plot moon angular diameter versus Sun angular diameter for each moon (i.e., x-axis = `sun_angular_diameter_arcsec`, y-axis = `moon_angular_diameter_arcsec`) and label each moon next to its corresponding marker (but see B6). Add a line corresponding to a 1:1 ratio. Save this plot as a PDF image. diff --git a/assignments/assignment8.md b/assignments/assignment8.md index 8862a4c..bfb2013 100644 --- a/assignments/assignment8.md +++ b/assignments/assignment8.md @@ -8,8 +8,8 @@ For this assignment, we will use a file containing daily precipitation data in L #### A. Set up the file -1. Import the csv file as a Pandas DataFrame with default header and index. -2. Change the 'DATE' column to a timestamps using `pd.datetime()`. +1. Import the CSV file as a Pandas DataFrame with default header and index. +2. Change the 'DATE' column to timestamps using `pd.datetime()`. Alternatively, import the csv file with `parse_dates` set to the columns you want to parse as datetime. 3. What was the maximum daily precipitation (in inches) during this time period and when was it? #### B. Explore the dataset From 3c03356d0d4702bdd82527f497e7d87f32411a84 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Fri, 23 Nov 2018 16:03:52 -0700 Subject: [PATCH 57/78] minor edit --- assignments/assignment7.md | 2 +- assignments/assignment8.md | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/assignments/assignment7.md b/assignments/assignment7.md index d45ff1d..e7693ac 100644 --- a/assignments/assignment7.md +++ b/assignments/assignment7.md @@ -26,7 +26,7 @@ For this assignment, we will collect and wrangle data about the moons orbiting p 3. Calculate the volume of each moon and planet; add these to your DataFrame (suggested column names: `moon_volume_km3`, `planet_volume_km3`). (Reminder: Volume = 4/3 * Ο€ * (Diameter/2)**3.) 4. Using either Matplotlib or Seaborn, plot moon diameter versus host planet diameter (i.e., x-axis = `planet_diameter_km`, y-axis = `moon_diameter_km`) and label each moon next to its corresponding marker (but see B6). Save this plot as a PDF image. 5. Using either Matplotlib or Seaborn, plot moon volume versus host planet volume (i.e., x-axis = `planet_volume_km3`, y-axis = `moon_volume_km3`) and label each moon next to its corresponding marker (but see B6). Save this plot as a PDF image. -6. Optional: Label only the moons larger than a certain size, to remove the label clutter around the smaller moons. +6. Optional: Label only the moons larger than a certain size, to remove the label clutter around the smaller moons. Hint: try a for loop with an if statement. 7. Optional: Resize the markers so they are proportional to moon diameter. #### C. Comparing moon and sun angular diameters diff --git a/assignments/assignment8.md b/assignments/assignment8.md index bfb2013..468a559 100644 --- a/assignments/assignment8.md +++ b/assignments/assignment8.md @@ -19,11 +19,12 @@ For this assignment, we will use a file containing daily precipitation data in L - Use the `value_counts()` method for each of these columns: 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION'. There should only be one cateogory for each calculation because all the data come from the same station. To see what output looks like for a more diverse series, use the `value_counts()` method on 'PRCP' and 'PRCP_ATTRIBUTES'. - Make a DataFrame with just the columns 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION' and use the method `drop_duplicates()` to see all the unique combinations of values in those five columns. - Create a groupby object using `groupby('STATION')`, then use the `count()` method on that groupby object to count the number of values for each station. +3. Create columns for 'YEAR', 'MONTH', 'DAY', and 'DAY_OF_YEAR'. Hint: use attributes such as the `.year` attribute, or use a regular expression, with a list comprehension. #### C. Plot precipitation versus time 1. Use the Matplotlib function `plot()` to plot 'PRCP' versus 'DATE' as a line. -2. Plot 'PRCP' versus 'DATE' each year separately as a different colored line, with a legend indicating the year. Hint: You will have to extract the year from the date somehow, for example with the `.year` attribute or a regular expression. You might find it easiest to add new columns for year and day of year. +2. Plot 'PRCP' versus 'DATE' each year separately as a different colored line, with a legend indicating the year. Hint: use the 'YEAR' column you created in B3. 3. Go back and recolor the two plots above: pick two colors from ColorBrewer or xkcd and draw your subplots again. 4. Replot the plots in a subplot with the two sets of axes in a 1x2 formation. From f4f1556a3db2aa086c83f3d98798cad646163a5f Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Sun, 25 Nov 2018 11:01:17 -0700 Subject: [PATCH 58/78] minor edits --- lessons/lesson17.ipynb | 2190 ++++------------------------------------ 1 file changed, 175 insertions(+), 2015 deletions(-) diff --git a/lessons/lesson17.ipynb b/lessons/lesson17.ipynb index 88c576d..c61e7ec 100644 --- a/lessons/lesson17.ipynb +++ b/lessons/lesson17.ipynb @@ -6,12 +6,12 @@ "source": [ "## Lesson 17 - Statistics Packages\n", "\n", - "In this lesson we'll consider some of the various statistics tools available in Python. Many packages provide statistical support: Pandas, Numpy, Scipy, and Scikit-bio.\n", + "In this lesson we'll consider some of the various statistics tools available in Python. Many packages provide statistical support: Pandas, Numpy, Scipy, and Scikit-Learn.\n", "\n", - "You will probably have to install `scikit-bio` (`skbio`) and `outlier_utils` (`outliers`) before proceeding:\n", + "You will probably have to install `scikit-learn` (`sklearn`) and `outlier_utils` (`outliers`) before proceeding:\n", "\n", "```\n", - "conda install -c https://conda.anaconda.org/biocore scikit-bio\n", + "conda install scikit-learn\n", "pip install outlier_utils\n", "```" ] @@ -20,7 +20,19 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "ImportError", + "evalue": "No module named seaborn", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mskbio\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpyplot\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mseaborn\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msns\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmagic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mu'matplotlib inline'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mImportError\u001b[0m: No module named seaborn" + ] + } + ], "source": [ "# import required packages\n", "import pandas as pd\n", @@ -35,7 +47,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -103,7 +115,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -118,108 +130,9 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DATELATITUDELONGITUDEELEVATIONPRCPMONTHYEAR
02008-12-0132.82540-117.2397154.80112.40122008
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\n", - "
" - ], - "text/plain": [ - " DATE LATITUDE LONGITUDE ELEVATION PRCP MONTH YEAR\n", - "0 2008-12-01 32.82540 -117.2397 154.80 112.40 12 2008\n", - "1 2009-01-01 32.82540 -117.2397 154.80 6.90 1 2009\n", - "2 2009-02-01 32.82540 -117.2397 154.80 72.60 2 2009\n", - "3 2009-03-01 32.82555 -117.2449 152.25 6.10 3 2009\n", - "4 2009-04-01 32.82555 -117.2449 152.25 2.05 4 2009" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# examine the resulting dataframe\n", "df.head()" @@ -227,22 +140,11 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": { "scrolled": false }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# explore the data using a plot\n", "plt.plot(df.DATE, df.PRCP);" @@ -250,20 +152,9 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# make sure our index is sequential\n", "plt.plot(df.index, df.PRCP);" @@ -271,134 +162,11 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": { "scrolled": true }, - "outputs": [ - { - "data": { - "text/html": [ - "
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LATITUDELONGITUDEELEVATIONPRCPMONTHYEAR
count95.00000095.00000095.00000095.00000095.00000095.000000
mean32.830764-117.245553147.55578920.8780706.4526322012.378947
std0.0071650.0018246.19250530.7798473.4572422.302538
min32.825400-117.250100139.2000000.0000001.0000002008.000000
25%32.825550-117.245833139.2000000.8500003.5000002010.000000
50%32.825550-117.244900152.2500008.7500006.0000002012.000000
75%32.840533-117.244900152.25000027.1166679.0000002014.000000
max32.840533-117.239700154.800000166.20000012.0000002016.000000
\n", - "
" - ], - "text/plain": [ - " LATITUDE LONGITUDE ELEVATION PRCP MONTH YEAR\n", - "count 95.000000 95.000000 95.000000 95.000000 95.000000 95.000000\n", - "mean 32.830764 -117.245553 147.555789 20.878070 6.452632 2012.378947\n", - "std 0.007165 0.001824 6.192505 30.779847 3.457242 2.302538\n", - "min 32.825400 -117.250100 139.200000 0.000000 1.000000 2008.000000\n", - "25% 32.825550 -117.245833 139.200000 0.850000 3.500000 2010.000000\n", - "50% 32.825550 -117.244900 152.250000 8.750000 6.000000 2012.000000\n", - "75% 32.840533 -117.244900 152.250000 27.116667 9.000000 2014.000000\n", - "max 32.840533 -117.239700 154.800000 166.200000 12.000000 2016.000000" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# describe\n", "df.describe()" @@ -406,20 +174,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "20.878070175438598" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# mean\n", "df.PRCP.mean()" @@ -427,20 +184,9 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "30.779846675482016" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# std\n", "df.PRCP.std()" @@ -448,20 +194,9 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(0.8500000000000001, 8.75, 27.116666666666667)" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# quantile\n", "df.PRCP.quantile(0.25), df.PRCP.quantile(0.5), df.PRCP.quantile(0.75)" @@ -469,20 +204,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(0.0, 7)" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# min\n", "df.PRCP.min(), df.PRCP.idxmin()" @@ -490,20 +214,9 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(166.19999999999999, 166.0, 24)" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# max (with rounding)\n", "df.PRCP.max(), df.PRCP.max().round(), df.PRCP.idxmax()" @@ -511,45 +224,9 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0 112.400000\n", - "1 119.300000\n", - "2 191.900000\n", - "3 198.000000\n", - "4 200.050000\n", - "5 204.900000\n", - "6 208.750000\n", - "7 208.750000\n", - "8 209.150000\n", - "9 209.700000\n", - "10 210.200000\n", - "11 216.333333\n", - " ... \n", - "83 1799.216667\n", - "84 1822.066667\n", - "85 1889.566667\n", - "86 1900.916667\n", - "87 1926.016667\n", - "88 1940.016667\n", - "89 1966.216667\n", - "90 1966.816667\n", - "91 1966.816667\n", - "92 1967.616667\n", - "93 1979.516667\n", - "94 1983.416667\n", - "Name: PRCP, Length: 95, dtype: float64" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# cumsum\n", "df.PRCP.cumsum()" @@ -557,45 +234,9 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.0 16\n", - "1.0 12\n", - "2.0 5\n", - "9.0 4\n", - "7.0 3\n", - "25.0 3\n", - "5.0 3\n", - "4.0 3\n", - "12.0 3\n", - "11.0 2\n", - "24.0 2\n", - "29.0 2\n", - " ..\n", - "14.0 1\n", - "67.0 1\n", - "40.0 1\n", - "87.0 1\n", - "28.0 1\n", - "86.0 1\n", - "18.0 1\n", - "3.0 1\n", - "38.0 1\n", - "48.0 1\n", - "68.0 1\n", - "112.0 1\n", - "Name: PRCP, Length: 42, dtype: int64" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# value_counts\n", "df.PRCP.round().value_counts()" @@ -617,64 +258,22 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": { "scrolled": true }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "sns.regplot(x='MONTH', y='PRCP', data=df, order=2)" ] @@ -702,7 +301,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -712,22 +311,11 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": { "scrolled": false }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# plot scatter and polyfit\n", "plt.scatter(df.MONTH, df.PRCP)\n", @@ -736,20 +324,9 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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TEUmCAZ2ISBIM6EREkmBAJyKSBAM6EZEk+rxS9Nvf/jZ8Ph8AYMSIEZgzZw7Wr18Ph8OB4uJiPPTQQ8IySURE3etTQA+HE1tcbt26NfWzu+66Cxs3bsTIkSNx//33o7KyEhMnThSTSyIiHYWiihTb5/YpoH/66adobm7GwoULEYvFsGTJEkQiEYwaNQoAUFxcjH379nUb0LOzvXA6rfPi5eX5zM6CcKFIDFX1QeQPSofXLe/WPjK+d0ksW9/FlDge+dMnePPwWXx+sRmjstJx16RheHb2BDgd+vZI61G2Pn2D09LSsGjRItx99904efIkfvSjH8Hv96fSMzIycPr06W6fp6Eh1JfLGy4UVaTbKMjIsxvNlpfnQ11dk9nZ0AXL1j8r3z6OLR/WpB6fbGjGL987gebmCNbNGKfbdftbts5uBn0K6GPGjMHo0aNhs9kwZswY+Hw+XLx4MZUeDAbbBHirkjnoJc9uTEqe3QhA1w8y0UBhxpF3eutTVPrDH/6Ap59+GgBw7tw5NDc3w+v14vPPP4eqqtizZw+mTJkiNKNmMPLAWiN190EORRWDc0RkvJ4ceWc1faqhl5aW4vHHH8e8efNgs9nw5JNPwm6345FHHoGiKCguLsZXvvIV0Xk1lIx37yQzzm4kGmiSR96d1vgu6H3knV76FNDdbjeee+65Dj///e9/3+8MDRQyBz0ZP8hEvZU88q5112OSVY+8s3ZHsI7MPLBWbzy7kSihfHoh7p9SgJF+Dxw2YKTfg/unFFj2yDt556n1k4x379Z4diNR2yPvrth56FcKmYMez24kuszrcli2C7U1BvQuMOgRkZUwoPeA1+VAXm6GVAs4ZJ5jT3SlYkC/QnFhkXiy7AdC1sWAfgWSeY69Gdq0dhrDKPCztUPmsOSnLRRVcKKh2bAVjaGogqr6oDQrKGVcIWemNiuKIc+KYrIeS9XQja4JydrPzIVF4rC1QwOJpaKS0TUhWfdy4cIicdjaoYHEMgHd6A2lZN/ASrYVcmaReUUxWY9lulyM3ltF5r1cAM6xF0X2FcVkLZapoRtdE7pSal5elwOFuRkMPP3A1g4NFJapoRtdEzKz5iXzfGYZyybbfiBkXZYJ6IDxe6sYfT2Z5zPLXLYkWfYDIeuyqaqqmnXxvi6lN7qWZ9SZou3PN0y6f0rBgD7fsCfMKhvAczetStayiYgnnZ0pasmqUbImZFSz1oh+Zpln1chctiuF0Yv5ZBSLx7Hy7eOYWvE+ip7ejakV72Pl28cRi8eFXcNSXS4yk3lWjcxlk92V0FVmFCP2T+I7MkDIPKtG5rLJ7krZ1kDvFohRrVQG9AHC63LAn6bdYPKnOS09a4IrU63pSugqa90N8rWX9uvSDQIYt6KYAX2ACEUVnGwIaaadbAhZ/suz8raxmDQkAw5b4rHDBkwakoGVt401N2PUKTO3NTBqQzyjWiBGtVItGdBlHKA51dCMYFR7wlEwquJUQ7PBORJr3V//hcNfBKG0FFFRgcNfBLHur/8yN2PUKTO6yowYOEwysgViVCu1T4Oi0WgUK1asQE1NDSKRCB588EEMGzYMDzzwAK666ioAwLx583DnnXcKyWSS1AM0tn6mD2DckdCazFhcZ+TBK0YP1huxrqVPAX3Hjh3IysrCz3/+czQ0NOA73/kOFi9ejPvuuw8LFy4Ulrn2zDplJ9n8c0YV3QLPkIyuazvdpQ9knOViXUYurgtFFew8WqeZtvNonfAbv97bSKuqioiiIqLEcSkWR0SJY+FXC/DNa3IRcTgwKSsNg71iv9d9Cuh33HEHSkpKUo8dDgcOHz6MEydO4J133sHo0aOxYsUKZGZmdvk82dleOJ09e4NCkRjeqrqgmfbfVRfwH99Lh9ctdhZmTInjkT99gjcPn8XnF5sxKisdd00ahmdnT4DTIbZFcO7Ml13nxe3sdDGBCHo+d8agdIzKTsdJjW6jkVnpmHRVjvD3rj09y2c2vcv20rzJCEViONMYRr7fo9t7VVUfRHWTdr98dVMEMbcLebkZXT5HIojGEY7FcSma+DesxHEpqiT+H0sE13As8XjScD9ON3a8ieQPSsfzB2pb/kZp+Zvk319+rsvP1/H3wrGuu4lGZaXhO9flC40nfXpnMjISL2ogEMDSpUuxbNkyRCIR3H333Zg0aRJefPFFvPDCC1i+fHmXz9PQySCglhMNzTjdST/y6YvNOHzygvBaXvvVjScbmvHL906guTkivEVw4ULXr8WFCyHUOfXpVjJiRd43CnM0m+7fKMxB8MtmBHW8tqwrDgFjy+YHNN8rVVURjaup4BmJxXFJiSMSa1s7vfx/rd+N4+KlGGwAOlu6/v2tHyKuIhWww4ra6v+J5wgrYha+v3/6It4/fbHL33HabXA7bPA47PA47XA77MjyOOHx2uFx2uBu+bnHkUg7UhfAZxcux7DPL17qczzp7Cbe51vtmTNnsHjxYpSVlWH27NlobGyE3+8HAMycORNr167t61NrMvqUHaP7fUdnpyPTbUcg0vGunum2Y7TFuySM3hdHdskg2nQphvpQJBXMwi3BM9wS6BIBr2eB9fLfqG3/viU4h1sFz8vPLS6Idmd/dSMcNlwOki3/Zqe7OgTW1P+dHX/udtiQ1vLY7bQjzWEHbInv/NAMN3weZ5u/SfyuLXHdVs/jsPd8YCsUVTC14n3NNJHxpE8Bvb6+HgsXLsTq1avxta99DQCwaNEirFq1Ctdffz327duHiRMn9jtzrRk9QGN0v6/X5cDc64bh5QO1HdLmXjfM8oOGMuxImAyirYNf+1qiXkG07XOpuNRNc16kZBBtXeMUEUQTAdmW+j0VwJL/OoIvgtEOeSjwufG3H94Ev8eai9uNiid9enU2b96MxsZGbNq0CZs2bQIAPPbYY3jyySfhcrmQm5srvIYOXK7l7WxVy7tTp1qeGedu/vvtV8Nus+HPR+twpimCfJ8b37wm74quxaqqilhc1Q58GoG1deALxxLB05XmwoXG5lbBUu0QJC8H2Y6BNdwqEBu1k53dhnZB0YasNGfbZrzTDl+6C7Z4vE1ATaS1C6rO1um2Ds+TSLO1qpEm/85m6Ayyb48follp++Y1eZYN5oBx8aRPr9DKlSuxcuXKDj/fvn17vzPUE6qqQlUT/+rFjClbA6UWKyKItm/2X4rF8ffTX6L6y0sIxeJIc9oxON2FgkEeRFtqnJFO+l+NCqI2IBXMkoHPn+oTbfvz9gExrSWItg+IbZrrbYKnvU0NN5mWrMn2NIjKNj4ga9ecUfHEUtvnGr0Fa+t57+0/XHrUWmLxloCotA+cXTfVO9QyWwfcWMfA2n4qVUxNzCIyI4gCiSCqWatsHfjaBMK2gbV1EPU4be2a+nYMHZyB5sCltkFVI7A67TbYbNaa8C9bQE8yastqI4mMJ50NilomoCcHFbSaLCP9Hrz3o5v69MYng2j7gJgKfLE4vgzH0GyzQwlHoKro2N+p0VzXCqxa/aCta7hxg94JG9CmaZ7udsJlg7Ag2rqbwOO0I64CP/zjYZzV6Bsd4XNjz/3/S9cvraxBD2DZrEjP/dAt0ynV1aBCdWMYS/7rU7idtkRQ7RBQOxl4isVh0AA9ALQZAPI47ch0O+Bxuto2yVtGz1UV8Kc5kOFyaDbVOzbrWwXcVoNObZr9Lb/Tviaq9xfnREOz5kAXAJwJRLiwiK4oXpcDebkZunznLBPQuxpUUAH8qZMVZu2DaIbLgZz0jkH08v+1+ztz/OmIXopoDDJ1nG/aOrAm/97Vg+a8GVsbGLEK1owBZqIrkWUCeleDCqUTh+DR4jF9CqI9ZUTzz8itDdrcPJrCKNBxfMDMA7eJriSWCejA5RFwrWl9Vt+cy+iFTEbviyPr7AWigcRSAT0pWes2akaCEd0SRi5kMmP3w4EyJZP6xuiD2alvLBXQ29cqq3WuVSa7Jf58tA61TREM17FFYGQ/s5m7HyYP+CZrkHrLaglZ5h0x4zis1e98hi0f1qCmKQIVQE1TBFs+rMHqdz4Tfi2vy4FBnRxBN0jwEXQ845N66ko5U1QWlgnoRh+HFYoq2P7xWc207R+fFX4DCUUVXGzWntp3sTkq/PSUknGDNdNKxg3WtUkt42lTSbKV7Uo4UzRJlvfOMl0uRk99O9XQrLnzIQAEInGcamjG+CFd7/feG+cCEdR2she0DHO1ZW66y1q2c4GI5vcNSNTUrf6ZBOSbKmyZgG741DeDj4Qz8oYViip46/h5zbS3jp/HytvEf9DMOm3KCLKWze9xwGGD5uI7hy2RrpfzoQg+Pl6H4W678FN9WpNtqrClqg/l0wtx/5QCFPjcsCOxpeb9Uwp0mfo2JMPdacy2QfyRcEYdIguY030la9Nd5rI1hpVOV1IraiJdtEsxBdP/8wNM2rgXt2/+OyZt3Ivp//kBLsXEX8vo967NeISqz3iEpQJ6khHTFhvDSqcbVKnQ58Ns1A1raKYbw33aN6T8TLfw7iujbyBGkrlsQzPdGNHJ52SET/znBADu/M1BHP4imLqRKCpw+Isg7vzNQeHXMvK9M+rmYamAnrzDVbeMuFfrOOJuxoc5Se8bltflQFa6SzMtK90lvLtF5lk1MpfN63LgzmvyNNPuvCZP+OfkfCiCI3XahxEeqQvifEjszdHIio1RNw/LBHSjm0dGf5gB425YoaiCLy/FNNO+vBTT5bU0c1ZNVX1Qt64PI7vK2tO7bMDlVuNIvwcOW2JnU726OT9pVTNvT1ET6SJ5XQ74O5kq7LfoVGHLDIqasRjGyOXqRq7eNHNhkVGM3KvG6G0NjCybkSt8JwzJgB2A1twye0u6SKGogmPntQ9nP3Y+MYVRVFmNmtRhmYBuxo59rT/Mem+2b2SQTTY1qzWmSerRhy77rJrk5+Qnt4zGJ18EMWFIhjQzM5KMWOE72OtGVroTF5o7th6z0p3CX9OjdUF0djRrLK7iaF0Q/zbcL+x6Rtz4LRPQzdyxT8/9i5OMvGGlmpoaAV10UxMwvkVg9F41Rs5lNmMfnuR19a6hJ2vEWgE9w+UQWmMGgPMh7YV8PU3vLSMqiJbpQwcu9+eN8HtgtwEjdOzPM5qRfbE9aWqKZPTAYVcLYqobxc88MXJ5vNGzamLxOFa+fRy3bNmPm1/aj1u27MfKt48jFu+katsP5wIR1BpYtn8brn3qT0/T+8rrcqAwN0OXG6OlAnqSEYdEm8GoAaieNDVF8rocmHl1jmbazKtzdJlV01nT09GSLkooqmBnJ4er7Dxap8vNcahX+/Uaku4QfnNMnuNb27KfUW3LfkYr3z4u9DqA8Tf+wV43JuZ5NdMm5nl17TbTi9Aul3g8jvLychw9ehRutxvr1q3D6NGjhT1/+77D5GZZgLVX5CUZNQBldFMTAP5+urFXP++P5qgC7Tk8QKwlXeQAs9ZYBABUN4nfssHrcuBsSPsmcTYktksiFFXwm3+e0Uz7zT/PYPXXrxZ6vVRXoEYtXY+uQADY9X++ijt/cxCffBFEHJcHX3cumCz8WkYQWkN/++23EYlE8Lvf/Q4PP/wwnn76aWHPLfOKvPaSA1B69VUa3dQ0en7x30409Cu9N7pb/i56efzx+kCXC96O1weEXetofaCLllwiXaRQVMHJBu2uwJMNIV2+42lOB3YvvBGVS2/B63O/gsqlt2D3whuR5rTmnu9CA/qBAwcwdepUAMANN9yAw4cPC3tumVfkGc3opuY/zjR2GYT+cUZsLb2msblf6b3x0dmu895dem/94bD2DqA9Te+NExe6fp26S++tUw3NCEa1PynBqIpTDWKv19pgrxtTr8q2ZDdLa0K7XAKBADIzL+9A6HA4EIvF4HRqXyY72wtnD++EGYPSMSo7HSc13tSRWemYdFUOvG59J+3k5ekzSGKGD//vNHxt4//DR2caEVcBuw24Pt+PfUv+N9IEv45Xa8xaaJM+PEvoazthRDaAk12mi7pe1SHtLolUelMU9wgsW/7grudi5w/OEFa2IYO7vhkNGewV+r6d66w50CInR+z1zKZHWYR+czMzMxEMXm5ax+PxToM5ADR00rzqzDcKczSnLX6jMAfBL5shdiivLSMOiTbafy+YjPOhCGoj8dSudk1fNkO7HKnTAAAFpklEQVR0KYc4bXDaodl8d9oT6SJf2xsGd91nfcPgdGHXm1bQ9ZdyWoHYz82MUVndpou63nh/WrfpIsvmU1Vkuu2a21Znuu3wqao038H+xpPObgZCu1wmT56Md999FwDwz3/+E0VFRSKf3tBlyFeKwV43po/L07Wp6XU5sOCGfM20BTfkCx8rGOx1Y3wnXUrjBXcpjcvNhLuTb5HbnkgXacSgdGSnab9e2WkOjBgkbgB2sNeNCZ28jhN06JrzuhyYe90wzbS51w3jWaY9YFMFzv1LznI5duwYVFXFk08+icLCzoNtX+9QZhxYK2MNPcmIsiUX3/zp0y9wNhDFsEwXZl87RLeDBC7FlMTshbpgqktpQl5i9oLoAa+Ll6K4buNehFttROJx2PDxkluQlaa9CVp/BCIxTHnx720W4OSkO/HhgzcjU3B3Wep11JgFosfAYfJzsvNYPc40hZHv8+BOCQ4LaU+vGrrQgN5bVgqQDOhiGH0zbt+lpKfj9QH8z2cXMPPqHOE1cy3VXzaj8mIYE7M8QmvmWs6HIoZsa5AUiiq6b7dhJgZ0kzGgW5fM5WPZrMkSfehERGQeBnQiIkkwoBMRSYIBnYhIEqYOihIRkTisoRMRSYIBnYhIEgzoRESSYEAnIpIEAzoRkSQY0ImIJMGATkQkCQb0bkSjUTz66KMoKytDaWkp3nnnHbOzJNz58+cxbdo0VFVVmZ0VoV566SXMmTMH3/3ud/Haa6+ZnR1hotEoHn74YcydOxdlZWVSvW+HDh3C/PnzAQCnTp3CvHnzUFZWhjVr1iAe7/pEo4GuddmOHDmCsrIyzJ8/H4sWLUJ9vfZ5yb3FgN6NHTt2ICsrC6+++ioqKiqwdu1as7MkVDQaxerVq5GW1vXpNFazf/9+/OMf/8Bvf/tbbN26FWfPijtr02x/+9vfEIvFsH37dixevBi/+MUvzM6SEBUVFVi5ciXC4cTZwU899RSWLVuGV199FaqqWroy1b5s69evx6pVq7B161bMnDkTFRUVQq7DgN6NO+64Az/+8Y9Tjx0OufZmfuaZZzB37lwMGTLE7KwItWfPHhQVFWHx4sV44IEHcNttt5mdJWHGjBkDRVEQj8cRCAS6PObRSkaNGoWNGzemHldWVuKmm24CANx6663Yu3evWVnrt/Zl27BhA8aPHw8AUBQFHo9HyHXk+CToKCMjcShvIBDA0qVLsWzZMpNzJM4bb7yBnJwcTJ06FVu2bDE7O0I1NDSgtrYWmzdvRnV1NR588EH85S9/gc1mMztr/eb1elFTU4NZs2ahoaEBmzdvNjtLQpSUlKC6ujr1WFXV1PuVkZGBpibr7o3evmzJCtTBgwexbds2vPLKK0Kuwxp6D5w5cwYLFizAXXfdhdmzZ5udHWFef/117N27F/Pnz8eRI0ewfPly1NXVmZ0tIbKyslBcXAy3242xY8fC4/HgwoULZmdLiF//+tcoLi7GW2+9hTfffBOPPfZYqikvE3urI+eCwSD8fr+JuRFv586dWLNmDbZs2YKcnBwhz8mA3o36+nosXLgQjz76KEpLS83OjlCvvPIKtm3bhq1bt2L8+PF45plnkJeXZ3a2hPjqV7+K9957D6qq4ty5c2hubkZWVpbZ2RLC7/fD50ucWDNo0CDEYjEoimJyrsSbMGEC9u/fDwB49913MWXKFJNzJM6bb76Z+u6NHDlS2POyy6UbmzdvRmNjIzZt2oRNmzYBSAxwyDaIKJuvf/3r+OCDD1BaWgpVVbF69Wppxj9+8IMfYMWKFSgrK0M0GsVPfvITeL1es7Ml3PLly7Fq1Sps2LABY8eORUlJidlZEkJRFKxfvx75+flYsmQJAODGG2/E0qVL+/3c3D6XiEgS7HIhIpIEAzoRkSQY0ImIJMGATkQkCQZ0IiJJMKATEUmCAZ2ISBL/H1sp1hZsLR9oAAAAAElFTkSuQmCC\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# sort DataFrame by month, then re-plot\n", "df.sort_values('MONTH', inplace=True)\n", @@ -766,7 +343,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -776,20 +353,9 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 1.68178223, -21.14169112, 67.38422486])" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# values of p are in decending orders\n", "p" @@ -797,34 +363,11 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "metadata": { "scrolled": false }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 1. , 1.2244898 , 1.44897959, 1.67346939,\n", - " 1.89795918, 2.12244898, 2.34693878, 2.57142857,\n", - " 2.79591837, 3.02040816, 3.24489796, 3.46938776,\n", - " 3.69387755, 3.91836735, 4.14285714, 4.36734694,\n", - " 4.59183673, 4.81632653, 5.04081633, 5.26530612,\n", - " 5.48979592, 5.71428571, 5.93877551, 6.16326531,\n", - " 6.3877551 , 6.6122449 , 6.83673469, 7.06122449,\n", - " 7.28571429, 7.51020408, 7.73469388, 7.95918367,\n", - " 8.18367347, 8.40816327, 8.63265306, 8.85714286,\n", - " 9.08163265, 9.30612245, 9.53061224, 9.75510204,\n", - " 9.97959184, 10.20408163, 10.42857143, 10.65306122,\n", - " 10.87755102, 11.10204082, 11.32653061, 11.55102041,\n", - " 11.7755102 , 12. ])" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# create a finely spaced array\n", "x1 = np.linspace(1,12)\n", @@ -833,32 +376,9 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 47.92431598, 44.01806249, 40.28131809, 36.71408276,\n", - " 33.31635652, 30.08813935, 27.02943126, 24.14023226,\n", - " 21.42054233, 18.87036149, 16.48968972, 14.27852703,\n", - " 12.23687342, 10.36472889, 8.66209345, 7.12896708,\n", - " 5.76534979, 4.57124158, 3.54664245, 2.6915524 ,\n", - " 2.00597143, 1.48989954, 1.14333673, 0.966283 ,\n", - " 0.95873835, 1.12070278, 1.45217628, 1.95315887,\n", - " 2.62365054, 3.46365129, 4.47316111, 5.65218002,\n", - " 7.00070801, 8.51874507, 10.20629122, 12.06334644,\n", - " 14.08991075, 16.28598413, 18.6515666 , 21.18665814,\n", - " 23.89125877, 26.76536847, 29.80898725, 33.02211512,\n", - " 36.40475206, 39.95689808, 43.67855318, 47.56971737,\n", - " 51.63039063, 55.86057297])" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# calculate the y vector for the fit curve \n", "y1 = np.polyval(p, x1)\n", @@ -867,22 +387,11 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "metadata": { "scrolled": false }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "plt.scatter(df.MONTH, df.PRCP)\n", "plt.plot(x1, y1, '-');" @@ -890,7 +399,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -900,7 +409,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -909,22 +418,11 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "metadata": { "scrolled": false }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "plt.scatter(df.MONTH, df.PRCP)\n", "plt.plot(x1, y1, '-');" @@ -939,20 +437,9 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# sine wave refresher\n", "period = 4*np.pi\n", @@ -971,108 +458,9 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DATELATITUDELONGITUDEELEVATIONPRCPMONTHYEAR
02008-12-0132.82540-117.2397154.80112.40122008
12009-01-0132.82540-117.2397154.806.9012009
22009-02-0132.82540-117.2397154.8072.6022009
32009-03-0132.82555-117.2449152.256.1032009
42009-04-0132.82555-117.2449152.252.0542009
\n", - "
" - ], - "text/plain": [ - " DATE LATITUDE LONGITUDE ELEVATION PRCP MONTH YEAR\n", - "0 2008-12-01 32.82540 -117.2397 154.80 112.40 12 2008\n", - "1 2009-01-01 32.82540 -117.2397 154.80 6.90 1 2009\n", - "2 2009-02-01 32.82540 -117.2397 154.80 72.60 2 2009\n", - "3 2009-03-01 32.82555 -117.2449 152.25 6.10 3 2009\n", - "4 2009-04-01 32.82555 -117.2449 152.25 2.05 4 2009" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# we are going to use the numerical index for our \"t\" variable\n", "# make sure our index is sequential (December 2008 is zero)\n", @@ -1082,20 +470,9 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "plt.scatter(df.index, df.PRCP)\n", "plt.xticks(np.arange(0, df.index.max(), 12));" @@ -1103,7 +480,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1114,7 +491,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1130,7 +507,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1141,7 +518,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1151,7 +528,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1161,7 +538,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1171,22 +548,11 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": null, "metadata": { "scrolled": true }, - "outputs": [ - { - "data": { - "image/png": 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0MoonEarth3840003476127421.495979e+081.0002.199064e+101.083207e+12
1DeimosMars92702067792.281368e+081.5254.188790e+031.631156e+11
2PhobosMars23460867792.281368e+081.5252.680826e+021.631156e+11
3CallistoJupiter188300048001398227.786569e+085.2055.790584e+101.431282e+15
4EuropaJupiter67090031261398227.786569e+085.2051.599431e+101.431282e+15
5GanymedeJupiter107000052761398227.786569e+085.2057.689763e+101.431282e+15
6IoJupiter42160036291398227.786569e+085.2052.502416e+101.431282e+15
7DioneSaturn37740011201164641.427912e+099.5457.356186e+088.271299e+14
8EnceladusSaturn2380204981164641.427912e+099.5456.466759e+078.271299e+14
9HyperionSaturn14810002261164641.427912e+099.5456.043993e+068.271299e+14
10IapetusSaturn356130014361164641.427912e+099.5451.550465e+098.271299e+14
11MimasSaturn1855203981164641.427912e+099.5453.301018e+078.271299e+14
12PhoebeSaturn129520002201164641.427912e+099.5455.575280e+068.271299e+14
13RheaSaturn52704015281164641.427912e+099.5451.867965e+098.271299e+14
14TethysSaturn29466010601164641.427912e+099.5456.236145e+088.271299e+14
15TitanSaturn122185051501164641.427912e+099.5457.151881e+108.271299e+14
16ArielUranus1912401160507242.872279e+0919.2008.172832e+086.833436e+13
17MirandaUranus129780472507242.872279e+0919.2005.505853e+076.833436e+13
18OberonUranus5826001526507242.872279e+0919.2001.860639e+096.833436e+13
19TitaniaUranus4358401580507242.872279e+0919.2002.065237e+096.833436e+13
20UmbrielUranus2659701190507242.872279e+0919.2008.823472e+086.833436e+13
21NereidNeptune5513400340492444.495416e+0930.0502.057953e+076.252570e+13
22TritonNeptune3548002705492444.495416e+0930.0501.036336e+106.252570e+13
\n", - "
" - ], - "text/plain": [ - " moon_name planet_name moon_planet_distance_km moon_diameter_km \\\n", - "0 Moon Earth 384000 3476 \n", - "1 Deimos Mars 9270 20 \n", - "2 Phobos Mars 23460 8 \n", - "3 Callisto Jupiter 1883000 4800 \n", - "4 Europa Jupiter 670900 3126 \n", - "5 Ganymede Jupiter 1070000 5276 \n", - "6 Io Jupiter 421600 3629 \n", - "7 Dione Saturn 377400 1120 \n", - "8 Enceladus Saturn 238020 498 \n", - "9 Hyperion Saturn 1481000 226 \n", - "10 Iapetus Saturn 3561300 1436 \n", - "11 Mimas Saturn 185520 398 \n", - "12 Phoebe Saturn 12952000 220 \n", - "13 Rhea Saturn 527040 1528 \n", - "14 Tethys Saturn 294660 1060 \n", - "15 Titan Saturn 1221850 5150 \n", - "16 Ariel Uranus 191240 1160 \n", - "17 Miranda Uranus 129780 472 \n", - "18 Oberon Uranus 582600 1526 \n", - "19 Titania Uranus 435840 1580 \n", - "20 Umbriel Uranus 265970 1190 \n", - "21 Nereid Neptune 5513400 340 \n", - "22 Triton Neptune 354800 2705 \n", - "\n", - " planet_diameter_km planet_sun_distance_km planet_sun_distance_au \\\n", - "0 12742 1.495979e+08 1.000 \n", - "1 6779 2.281368e+08 1.525 \n", - "2 6779 2.281368e+08 1.525 \n", - "3 139822 7.786569e+08 5.205 \n", - "4 139822 7.786569e+08 5.205 \n", - "5 139822 7.786569e+08 5.205 \n", - "6 139822 7.786569e+08 5.205 \n", - "7 116464 1.427912e+09 9.545 \n", - "8 116464 1.427912e+09 9.545 \n", - "9 116464 1.427912e+09 9.545 \n", - "10 116464 1.427912e+09 9.545 \n", - "11 116464 1.427912e+09 9.545 \n", - "12 116464 1.427912e+09 9.545 \n", - "13 116464 1.427912e+09 9.545 \n", - "14 116464 1.427912e+09 9.545 \n", - "15 116464 1.427912e+09 9.545 \n", - "16 50724 2.872279e+09 19.200 \n", - "17 50724 2.872279e+09 19.200 \n", - "18 50724 2.872279e+09 19.200 \n", - "19 50724 2.872279e+09 19.200 \n", - "20 50724 2.872279e+09 19.200 \n", - "21 49244 4.495416e+09 30.050 \n", - "22 49244 4.495416e+09 30.050 \n", - "\n", - " moon_volume_km3 planet_volume_km3 \n", - "0 2.199064e+10 1.083207e+12 \n", - "1 4.188790e+03 1.631156e+11 \n", - "2 2.680826e+02 1.631156e+11 \n", - "3 5.790584e+10 1.431282e+15 \n", - "4 1.599431e+10 1.431282e+15 \n", - "5 7.689763e+10 1.431282e+15 \n", - "6 2.502416e+10 1.431282e+15 \n", - "7 7.356186e+08 8.271299e+14 \n", - "8 6.466759e+07 8.271299e+14 \n", - "9 6.043993e+06 8.271299e+14 \n", - "10 1.550465e+09 8.271299e+14 \n", - "11 3.301018e+07 8.271299e+14 \n", - "12 5.575280e+06 8.271299e+14 \n", - "13 1.867965e+09 8.271299e+14 \n", - "14 6.236145e+08 8.271299e+14 \n", - "15 7.151881e+10 8.271299e+14 \n", - "16 8.172832e+08 6.833436e+13 \n", - "17 5.505853e+07 6.833436e+13 \n", - "18 1.860639e+09 6.833436e+13 \n", - "19 2.065237e+09 6.833436e+13 \n", - "20 8.823472e+08 6.833436e+13 \n", - "21 2.057953e+07 6.252570e+13 \n", - "22 1.036336e+10 6.252570e+13 " - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "df_moons = pd.read_excel('../data/moons.xlsx')\n", "df_planets = pd.read_excel('../data/planets.xlsx')\n", @@ -1634,20 +605,9 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(0.39231409401451894, 0.064086346885027262)" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# pearson correlation (linear regression on values) of diameters\n", "pearson_r_diameter, pearson_p_diameter = scipy.stats.pearsonr(df_solar.planet_diameter_km, df_solar.moon_diameter_km)\n", @@ -1656,20 +616,9 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(0.51865681539162767, 0.011223179377141783)" - ] - }, - "execution_count": 40, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# pearson correlation (linear regression on values) of volumes\n", "pearson_r_volume, pearson_p_volume = scipy.stats.pearsonr(df_solar.planet_volume_km3, df_solar.moon_volume_km3)\n", @@ -1692,22 +641,11 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": null, "metadata": { "scrolled": true }, - "outputs": [ - { - "data": { - "text/plain": [ - "(0.45363079297812398, 0.029697361455537457)" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# spearman correlation (linear regression on ranks) of diameters\n", "spearman_r_diameter, spearman_p_diameter = scipy.stats.spearmanr(df_solar.planet_diameter_km, df_solar.moon_diameter_km)\n", @@ -1716,20 +654,9 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(0.45363079297812398, 0.029697361455537457)" - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# spearman correlation (linear regression on ranks) of volumes\n", "spearman_r_volume, spearman_p_volume = scipy.stats.spearmanr(df_solar.planet_volume_km3, df_solar.moon_volume_km3)\n", @@ -1738,22 +665,11 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": null, "metadata": { "scrolled": false }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# plot linear regressions\n", "fig, ax = plt.subplots(1, 2, figsize=(10,5))\n", @@ -1770,7 +686,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1781,20 +697,9 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# plot scatter plots\n", "fig, ax = plt.subplots(1, 2, figsize=(10,5))\n", @@ -1812,22 +717,11 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": null, "metadata": { "scrolled": true }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# plot distributions\n", "fig, ax = plt.subplots(1, 2, figsize=(10,5))\n", @@ -1849,30 +743,11 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": null, "metadata": { "scrolled": false }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.6/site-packages/outliers/smirnov_grubbs.py:185: FutureWarning: 'argmax' is deprecated. Use 'idxmax' instead. The behavior of 'argmax' will be corrected to return the positional maximum in the future. Use 'series.values.argmax' to get the position of the maximum now.\n", - " return data.argmax()\n" - ] - }, - { - "data": { - "text/plain": [ - "[0.27279861874117095]" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# print outliers from the dataset - relative diameter\n", "grubbs.max_test_outliers(df_solar.moon_planet_relative_diameter, alpha=0.05)" @@ -1880,50 +755,9 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.6/site-packages/outliers/smirnov_grubbs.py:153: FutureWarning: 'argmax' is deprecated. Use 'idxmax' instead. The behavior of 'argmax' will be corrected to return the positional maximum in the future. Use 'series.values.argmax' to get the position of the maximum now.\n", - " index = relative_values.argmax()\n" - ] - }, - { - "data": { - "text/plain": [ - "1 0.002950\n", - "2 0.001180\n", - "3 0.034329\n", - "4 0.022357\n", - "5 0.037734\n", - "6 0.025954\n", - "7 0.009617\n", - "8 0.004276\n", - "9 0.001941\n", - "10 0.012330\n", - "11 0.003417\n", - "12 0.001889\n", - "13 0.013120\n", - "14 0.009102\n", - "15 0.044220\n", - "16 0.022869\n", - "17 0.009305\n", - "18 0.030084\n", - "19 0.031149\n", - "20 0.023460\n", - "21 0.006904\n", - "22 0.054931\n", - "Name: moon_planet_relative_diameter, dtype: float64" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# remove outliers - relative diameter\n", "moon_planet_rel_diam_no_outliers = grubbs.test(df_solar.moon_planet_relative_diameter, alpha=0.05)\n", @@ -1932,28 +766,9 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.6/site-packages/outliers/smirnov_grubbs.py:185: FutureWarning: 'argmax' is deprecated. Use 'idxmax' instead. The behavior of 'argmax' will be corrected to return the positional maximum in the future. Use 'series.values.argmax' to get the position of the maximum now.\n", - " return data.argmax()\n" - ] - }, - { - "data": { - "text/plain": [ - "[0.02030142397437823]" - ] - }, - "execution_count": 49, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# print outliers from the dataset - relative volume (higher alpha)\n", "grubbs.max_test_outliers(df_solar.moon_planet_relative_volume, alpha=0.000005)" @@ -1961,50 +776,9 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.6/site-packages/outliers/smirnov_grubbs.py:153: FutureWarning: 'argmax' is deprecated. Use 'idxmax' instead. The behavior of 'argmax' will be corrected to return the positional maximum in the future. Use 'series.values.argmax' to get the position of the maximum now.\n", - " index = relative_values.argmax()\n" - ] - }, - { - "data": { - "text/plain": [ - "1 2.567989e-08\n", - "2 1.643513e-09\n", - "3 4.045733e-05\n", - "4 1.117482e-05\n", - "5 5.372641e-05\n", - "6 1.748374e-05\n", - "7 8.893628e-07\n", - "8 7.818311e-08\n", - "9 7.307187e-09\n", - "10 1.874512e-06\n", - "11 3.990930e-08\n", - "12 6.740513e-09\n", - "13 2.258369e-06\n", - "14 7.539499e-07\n", - "15 8.646624e-05\n", - "16 1.196006e-05\n", - "17 8.057225e-07\n", - "18 2.722846e-05\n", - "19 3.022253e-05\n", - "20 1.291220e-05\n", - "21 3.291371e-07\n", - "22 1.657455e-04\n", - "Name: moon_planet_relative_volume, dtype: float64" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# remove outliers - relative volume (higher alpha)\n", "moon_planet_rel_vol_no_outliers = grubbs.test(df_solar.moon_planet_relative_volume, alpha=0.000005)\n", @@ -2077,60 +851,9 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
whalessharks
Atlantic82
Indian15
\n", - "
" - ], - "text/plain": [ - " whales sharks\n", - "Atlantic 8 2\n", - "Indian 1 5" - ] - }, - "execution_count": 51, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "f = pd.DataFrame([[8, 2],[1, 5]], \n", " index=['Atlantic', 'Indian'], \n", @@ -2147,20 +870,9 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(20.0, 0.034965034965034947)" - ] - }, - "execution_count": 52, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "odds_ratio, p_value = scipy.stats.fisher_exact(f, alternative='two-sided')\n", "odds_ratio, p_value" @@ -2225,21 +937,9 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(3.8095238095238093, 0.050961936967763424, 1, array([[ 5.625, 4.375],\n", - " [ 3.375, 2.625]]))" - ] - }, - "execution_count": 53, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "chi2, p, dof, expected = scipy.stats.chi2_contingency(f)\n", "chi2, p, dof, expected" @@ -2302,20 +1002,9 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.018323558187319684" - ] - }, - "execution_count": 54, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "moon_planet_rel_diam_no_outliers.mean()" ] @@ -2329,20 +1018,9 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Ttest_1sampResult(statistic=-0.51001168507614936, pvalue=0.61536196351015127)" - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "scipy.stats.ttest_1samp(moon_planet_rel_diam_no_outliers, 0.02)" ] @@ -2356,20 +1034,9 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Ttest_1sampResult(statistic=-77.478359377362779, pvalue=2.6973888513820512e-27)" - ] - }, - "execution_count": 56, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "scipy.stats.ttest_1samp(moon_planet_rel_diam_no_outliers, 0.273)" ] @@ -2417,7 +1084,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -2429,17 +1096,9 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ttest_ind: t = -9.86068, p = 7.14488e-16\n" - ] - } - ], + "outputs": [], "source": [ "# scipy.stats.ttest_ind (t-test for the means of two independent samples)\n", "t, p = scipy.stats.ttest_ind(a, b, equal_var=False)\n", @@ -2448,7 +1107,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -2466,17 +1125,9 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ttest_ind_from_stats: t = -9.86068, p = 7.14488e-16\n" - ] - } - ], + "outputs": [], "source": [ "# scipy.stats.ttest_ind_from_stats (t-test for the means of two independent samples from descriptive stats)\n", "t2, p2 = scipy.stats.ttest_ind_from_stats(abar, np.sqrt(avar), na,\n", @@ -2487,7 +1138,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -2499,22 +1150,11 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": null, "metadata": { "scrolled": true }, - "outputs": [ - { - "data": { - "image/png": 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fNkN2rcyYMYNt27YBUFJSQn5+/tnHKioquPfee9E0DaPRiMlkQqeTEY2BZHBWZYYfbnSe75vzMgH4+a6qIY4MLMe7mvjN6d1kRMby/YnLvHpuo07PqrFXAfB8zUHc0sUirsCQLfJly5axc+dOVq9ejaZprFu3jg0bNpCRkcHSpUuZMGECq1atQlEUioqKmD179mjULYZB0zSqO/qIsRiIsRj9XQ5Xpdi4NieeLRVtvHumgznjYv1d0pBUTeM7R/6BR9NYP3kFkXrvv49ZUfHMS8hiZ2sl21tP8/ls+QyJyzNkkOt0OtauXXvO13Jzc8/++9577+Xee+/1fmVixM509mF3eZiWbB364FHyrXmZbKloY/2207x0W2HA3xx/vuYge9qq+XjKRK5LzvPZdW5IzudARy2bm07R2Gcn2RLcfbZidEk/SAjb//5u9oHQrTLomrEx3DA+gV1nOnm9LLBHsDjcLh458RaReiOPTL7Bp9eK1JtYkTIBp+rhf0685dNridAjQR7CimsHbnRm+ngjicv1/cU56BVYu7Wcfk/gbjzxeMUumpwO7smZe8np994yOy6DdEs0z9ccpKRj+DNbhZAgD2HF9V3oFEiPDqzFqvITo7i9MI2ytl7+fDAw12Bp7LPz6/JdJJmj+Gru/FG5pk5R+ETqJAAekVa5uAwS5CHKraocaXSQYjUPe32T0fTAgiyiTHoe3V5JV5/b3+Vc4Melb9Pj6efB/CVYDaZRu26eNZHFSblsa6ngneaKUbuuCG6B9wkXXnGypYc+t8rYmMBqjQ8aE2Xi63MyaO3t5+e7A2s4YlVPO8+eKSHPmsht46aP+vW/P2EpAI+c2Bz0SxqI0SFBHqIONQzc6BwbHTg3Os/35VljGRdt5vG9ZzjcGDgTMn5xajtuTeX+vIUY/DAvYmpMKjenTeFgZz3/aDg+6tcXwUeCPEQdPBvkgdkiB4g06nl0eQEeDb71z5O4Vf/f+Kzu6eC5moPkWRO5KW2y3+p4IH8RCvCzU9tlIToxJAnyEHWwwYFBp5BqC9wgB7g2J55VU5I51Ojg8b01/i6HX5QNtMa/Nb4IveK/j8d4ayI3p03hSFcDbzSV+q0OERwkyEOQW1U51uSgIDESYwDe6Dzf2qXjSYw08uiOSsrbhl6Lx1dqejt57kwJuVEJ3Jw+xW91DPpm3sCqoz8t3SatcnFJgf8pF5ettKWHXrfKVSnBMTswLsLIj67Po8+t8o1/nvBbF8svyrbTr6l8K8+/rfFBE2xj+ETKREo669jaXO7vckQA8/9Pq/C6wRudwRLkAJ8oSOKmCUnsreniJztGfxRLbW8nz1QfIDsynk+lBc72a9/KWwjAT069I61y8ZEkyEPQwQYHEFxBrigKP1meT0aMhZ/tquJU6+h2sfxf2Y6zrXF/jFT5KFNjUlieXMB77TVsbz3t73JEgAqcn1jhNSUNdgw6hUljovxdymWJsRj53U2T0OsUnjlYj905OhOFGvrsPH3mAFmRcdySPm1Urnk57nu/Vf7/Srf5uRIRqCTIQ8yHb3RahrETU6CZkRbN9xfnYHd5ePZQw6hMiPlT5V5cqod7c+cHVGt8UGFsGkuTxrOrrYrdrYE1eUoEhsD7qRUjEmw3Oi/m7lljmZgURWlrD2/4eIXEbreLJ6uKSTBFsnJs4LXGB92XP9Aq/0XZDj9XIgLRle8eKwLS4I3OaUEc5Iqi8JlpKfxiVzWby9vIiLEwaYxv1lR/vuYg7f29XDcmjxdqDl3Wc21tliva3m0oT1UVX/Tr2ZHxbGku40cnt5JqiR7yPGsyZ3q7NBGgpEUeYgZvdBYGcZDDwKzPNdNTMegUnjnUQEuPy+vXUDWN355+F72iY158ptfP722LkwY2dJHFtMT5pEUeYg42BuaNzqdKLn997fRoC5+ePIaNhxt56kA9984Z55WVHAdrOdpbRUV3G1mmMRxr6AMubF0H0nZ0E21jGGO2cqCzlo+lFBBjDKx15oX/SIs8hLhVlaONwXuj82Jmpccwd1wMdXYnLx5t9OpY6m2OwwDkmdO9dk5f0ikKixJz8Gga21tkKKL4gAR5CDnVGvw3Oi/mpolJjIuxUFxnZ/eZTq+cs8bVQrmznnxzOjH6wPrr5VJmxqZjM5h5t62aPk+/v8sRAUKCPIQcrA/+G50XY9DpWFOYSpRRzyvHm6jq6B3xOQdb4wttgTOLczgMOj0LErLoU92821bt73JEgJAgDyHBOKNzuOIijNxemIqqwVMlI5ss1OnppqSnnGRDLAXmsV6scnTMTcjEpNOzveV0QCz9K/xPgjyEHGy0o1dgUlLwdBVcjryESJbnJdLZ5+YvB+vxqFfWX77TcRQVjYW2qSiK4uUqfS9Sb+KauAw63X2UdMomzUKCPGQM3uickBRFhDE0bnRezJKcOCaPiaK8rZdNp1ou+/kOt4vdjuNE6SzMiBzvgwpHR1FiNjoU3mkpl8W0hAR5qAjVG53n0ykKq6emkBhpZOvp9sveIm5jTQm9mot5UZMwKsE7+jbeFMlVManU99k56Wj2dznCzyTIQ8Rg/3io3ei8mAijns9OT8OoU3juUCMVw9yMwqOp/K5iDwb0zLNO9HGVvjc4QehtWas87EmQh4jBESuh3iIflGozc8uUZJwela/+/cSw+svfaCzldE8bMyLHY9NHjkKVvpUeEUNeVCJl3a3U9HpnWKYIThLkISLUb3RezMy0aApTbBTXdfHrvWeGPP43Fe8CsNDm/23cvGVxUg4A70irPKwFbyehOOuDGZ2hfaPzfO86jjMuE8o7DPxwWwW9EQ2kxl789Z/p6WB3WxUF1iQqnY1UOhtHuVrfyLcmkWqxcbCzno+5eog3Bf9fGuLySYs8BAze6CxMDY9ulQ8zG2HlbAseFZ7d3Yfbc/Eulm0tAwtNLUzMGc3yfE5RFBYl5qKisUOm7YctCfIQEE43Oi9mUrqB2TlG6jpUthy/cJXEDlcvBzvrSTbbyLcm+qFC3yqMSSPaYGZPezW9Mm0/LEmQh4Bg3GzZ2z45w0x0hMKWoy6a7efOdtzRWomKxqLE7KCcADQUg07HgsRsnKpHpu2HKQnyEHCwIfxudJ7PYlS4aYYZtwovvdd3dpKM0+Pm3bYqrAYT02ODY5XDKzEnPgOTTs+O1tN4NJm2H24kyIOcW1U5EoY3Oi9m2jgDBal6Shs8lFQPrMWyr/0MfaqbefFZGHWh+/5E6k3MjhtHZ38fBztk2n64GTLIVVXloYceYtWqVdxxxx1UVZ27+esTTzzBypUrWblyJb/61a98Vqi4uHCZ0TkciqJw80wLBj28ut9Jt1Nle+tpDIqOeQmBvwPQSBUl5qAA77RUyLT9MDNkkG/evBmXy8XGjRu5//77Wb9+/dnHzpw5w6uvvspzzz3Hxo0b2bFjBydOnPBpweJc4X6j83yJNh3XTTJh79N49mgNra4eZsaOxWow+7s0n0swRTI1JpXavi7Kun27abUILEMGeXFxMUVFRQAUFhZy5MiRs4+lpKTwhz/8Ab1ej06nw+12YzaH/gcmkAze6AzHoYcfZfFEE4lWhROuSmBggalwsej94ZXvtMi+nuFkyAlBDocDq/WDHcz1ej1utxuDwYDRaCQ+Ph5N0/jxj3/MpEmTyM6+9IcmLi4SwzC2IUtKCv1g8sZrPNbag16nsGhSykX7yG1Wy4ivMRK+vL7ZbRy4hu3CaxTN7OSl1i5s7gTykpLOfZ7FOOxrXOzcl/P4aJtiS2V8UwIn7E00G7uZFJsy4nPKZzHwDRnkVquV7u7us/9XVRWD4YOnOZ1Ovve97xEVFcV///d/D3nB9vahFzhKSrLR3Hx5q9oFG2+8Ro+qUVLbSUFCJI6OHhwXOcbuuHBD4dFis1p8en1n38CYabv9wmucdg+0SO1n0jlQ5mB8suGC5w3Hxc49yGazXPJxf1kQl02ZvZV1773Fz6765IjOJZ/FwHGpXzZDdq3MmDGDbdu2AVBSUkJ+fv7ZxzRN4ytf+QoFBQWsXbsWvT50RwUEolOtPfT0y43O87W7ejnUWU+CwQbdsby634l6hZtQBKNJ0ckkmiJ5ofYQTc6L/XoXoWbIFvmyZcvYuXMnq1evRtM01q1bx4YNG8jIyEBVVfbu3YvL5WL79u0A3HfffUyfPt3nhQsoaQjNPTpHakfraVQ0rkvJoSzLSHGlm+JKN7Nyht+lEsx0isLCxBz+VneEP1Xu4z8Klvi7JOFjQwa5Tqdj7dq153wtNzf37L8PHz7s/arEsHwwo9M6xJHho8/jZk9bNTaDmekxaeRdpXDojJtNh50UZhow6kNvZufFXB03jreby3mich9fH7+ASH14/BILVzIhKIjtr+vCoFOYPEaCfNDe9mr6VDfzE7Iw6PTERuqYn2eks0fj3bLwWYfEpNNzZ9bVtPX3svFMib/LET4my9gGmadKBmbt9XtUDjbYSYs288LR0FiSdaQ8msq2ltMYFR1z4z+YALRkkondZf1sOeZidm74tEw/nzWbX5Xv4ren3+WzmVejC8F1ZsQAaZEHqdouJx4NMmMi/F1KwDjUWU9Hfy+z4sYRZTCd/XqUWUdRwcAkoZ2lF66OGKrGmK2sTJ9GRXcbrzee9Hc5wockyINUVcfAsLfM2MAax+wvmqbxdnMFChdfc3zRBBMRJth63EW/e/Tr85e7c+YC8FjFbj9XInxJgjxIVXX2ApARKy1ygPLuVmr7OpkSnUKi+cJVICNMCosnmOh1wam68OliKLAlsTRpPHvaqtnfXuvvcoSPSJAHqeqOPqwmPfERcpsDPpiSPriz/MUsyDcRZVYorVVwhVGr/Cu58wB4XFrlIUuCPAh19vXT0ecmM9YSkhslXK6GPjvH7U1kRcaRGRn3kceZjQqLJhhxexTK68PnfVuQkMWU6BReqz9GVU+7v8sRPiBBHoQ+6B+XbhX4YD/OxYkf3RofNC/PhFGvcapWwe3xdWWBQVEU7smZi4rG70/v8Xc5wgckyIPQYJBnxMiNzj7VRXFHLYmmKCZFJw95vMWoMD5Nw+VWqGgIn1b5v6VNJtVi4+nqA3T2B976MGJkJMiDUFVHLwowToKcUmctHk1lYWLOsMdJj0/T0Os0SmsVPGGyK5pRp+eu7Gvo9rh4qqrY3+UIL5MgDzJuVaOmy0mqzYzZEN7fPpfaT4WzAZvBzKy4scN+ntkIuakafS6FysbwaZWvyZiJ1WDid6ffxekJo7u9YSC8kyAI1dmduFVNxo8DZa563HhYlJhz2ftx5qVr6BSNkzUK4bIwYrTRwmczrqbR6WBjzUF/lyO8SII8yFR3DI4fD+8g71NdnHLWYVIM50zHH64IE2Qla/Q4FWpbwqdVfnfOHMw6Pb8s34lbDZN+pTAgQR5kBm90ZoX5iJV3u0/Qr7kZb07DrL+ysfR56Row0FceLnsVJ1tsrB5XSFVPO6/WH/V3OcJLJMiDzOn2XiKNOhIjw2fxp/P1a27esR/CgJ7xprQrPo8tAlLjod2h0Br4G8R4zVdz5qNXFH5RtgMtXH6DhTgJ8iBS3dFLR5+bnLiIsJ4ItLe7FLvaS645FZNuZDNb89MHuhdKa8Pno5AVFce/pU3huL2JN5tO+bsc4QXh89MbAnad6QQgJz7Sz5X4j0dTedt+EKOiJ8985a3xQYnREGfVqGsFR68XCgwSX89dAMDPy7ZLqzwESJAHkXfPdACQGx++/eP7e8po9zi4JmoCFp1p6CcMQVEG+8qVsFpMa2L0GJYnF/Beew2726r8XY4YIQnyILKrugOLQUeqzezvUvzCrXl4s2s/enQstk7z2nnHJmhEmDUqGxVc4bOJEF8fP9Aq/0XZDj9XIkZKgjxI1NudVHb0kR0XEbY7veztPkmbx85c60RiDd7b3k6ng7xUDY8aXtP2r44by4KELLY2l1PcXuPvcsQISJAHiV3VA90qOWHareJS3WzuOoBJMbDUVuj182enaBj0GmX1CuE0vPrb+YsA+HHp2/4tRIyIBHmQ2FY5sPxoXpje6NzhOEKX2kORdQo2vfffA6MBspMHpu2faQ6fVvm8hCyKErPZ2lzOnrZqf5cjrpAEeRDQNI13KtuJjzCQFh1+/eO9qpOt9kNEKGa4C8+wAAAbKklEQVQW27zXN36+8WkaChqn6sJnghDAfxQsAeBHJ7f6uRJxpSTIg0B5Wy91didFmXFh2T/+tv0QvZqTa6OvIkLnu19kURZIS4COboWWLp9dJuDMihvH0qTx7GitZEfLaX+XI66ABHkQeKeyDYBF2R+9+02o6vL0sM1xhGhdJPOjJvv8enlpAx3kZXXh9dH4TsFiANaf3CrjyoNQeP20Bql33u8fX5gZfkG+xV5Cv+bmuujpI57FORwJ0RAbpVHbCt1htP/C9Nh0licXsLf9DFuby/1djrhMsnNvgHN5VHZUdZAdF0FGbAQQPnsuNvd3sttxnAR9NNdETRiVayoK5KVp7Dulo7xeYWneqFzWJy53A4mJtjFsajzJA4f/ztdzF6AoCrY2CzfH+/4vITEyEuQ+8FRJ3ZDH2KwW7I6BJt+awo+ear77TAcOl4fbpsV7rb5g8Vrnu3hQ+XjMbPTKR//xODjj1VvGJmkcqtQ43aDgdGuYDeFxXyI9Ioap0Skc7mrgmL2RydEp/i5JDJN0rQS4N8taAVg2PsHPlYyuk301HOurJtecytSIrFG9tl4HOSka/R6F4tNhNNUTuCG5AAX4R8MJPFoYDagPchLkAUzTNF4vayXKpGfuuFh/lzNqPJrKqx27UVC4KWauX1Z6zE3VUBSNHaX9qGF08y/FYuOa+AyanA72tJ3xdzlimCTIA9ip1h6qOvpYkh2HSR8+36rtjiM0uju4JqqANJN//hKxmGBcokZTl8qpBo9favCX68fkY9bpeaPpJL3u8PqLJFiFTzoEoU3vd6tcnxs+3SrtbgdvdBUTpbOwImaWX2sZWBURtp90+bWO0RZttLA4MReH28Wm2hP+LkcMgwR5AHvtRBN6Ba7PS/R3KaPmlY5duDQ3n4i5hkidf/cljbNCVqKeE/UemrrCq794UVIusUYLb9aVUuFo9Xc5YggS5AGqsqOXgw0OFmbFER8RHtu6Hemt5EhfFTmmFK6ODIxxf0UFA+/9jtLwapWbdHpuTJ2ER9P4z6ObZJJQgBsyyFVV5aGHHmLVqlXccccdVFVduAh9W1sb119/PU6n0ydFhqNXTzQDcNOEMX6uZHT0qH282L4DA3o+HbcgYLaymzLWQGykwnun++l1hVeYTYtOZULMGN5qLuP1xlJ/lyMuYcgg37x5My6Xi40bN3L//fezfv36cx7fvn07n//852lpafFZkeHo1eNNGHQKH8sPj26VVzp2Y1d7uT56BsnGwJnBqtcpzMsz4nLD3orwuvGnKAqrswsxKDq+d/RfONzSUAtUQwZ5cXExRUVFABQWFnLkyJFzT6DTsWHDBmJjw2d4nK+VtnRzqNHBoqw44sKgW+VobxXFPWWMMyaxyIerG16pObkmjPqB7hVVDa9WeWpkNF/LnU9NbyfrTmzxdzniIww5s9PhcGC1frAbi16vx+12YzAMPHX+/PmXdcG4uEgMBv2QxyUl2S7rvIHEZh3eTbrB485/rT9+d2D87pfmZ1/w2HDPHSiGqrej38Hz9dswKHo+P3YZsebhrzVudvv+l5zNZsFmgzl5braf6ON0u47CLPM5j4e6dXNX8M/mE/yxch+fnzybuWOy/F2S1wVz3sAwgtxqtdLd3X32/6qqng3xK9He3jPkMUlJNpqb7Vd8DX8bnHp/KR+eov/h19rvUXlibzVxFgPzkqMueB+Gc+5A8eHXeDGqpvGHljfo9vRxc+w8bP1R2PuH//qcfb7v6rDbB+q5JkfH9hPwRkk3uQkDrXKbzXL28VBls1mwt/fx6ORP8MldG1jz9rNsXvhlIvWh85disOTNpX7ZDNm1MmPGDLZt2wZASUkJ+fn53qtMXGBzeRstPf3cMjkZsyG0BxW94zjEKWctEy0ZzIua5O9yLiklRk9esp7yJg917eE1QQhgTnwGX8q+hrLuVn5w7A1/lyPOM2RSLFu2DJPJxOrVq/nhD3/Id7/7XTZs2MBbb701GvWFnScO1ALwmWmpfq7Et8r66vhn5z6idZHcGrcwYEapXEpRgQmAHaXhddNz0H9OWMoEWxIbqt7jTRnFElCG7CPR6XSsXbv2nK/l5uZecNyWLXIjZKRONHez9XQ7c8fFMCXZe7vEB5pOTzd/aduCAqxJuA6bPjg2lJ6QpifRqrC/sp8VV5mwBXe36mWL0Bt5fPqnuWHH7/nGwVfYXPRl0iKi/V2WQCYEBZTfvVcDwN2zxvm5Et/p19w82boZh9rLjTFzyDIn+7ukYdMpCvPzTbhVeLc8PFvlk6OTeXjiMlpcPXyh+AWcHre/SxJIkAeMpm4XLxxpIDsugutDdMlaVdN4ru0dql1NzIwczwJr8G1YMCvHiNkAu0714wmzoYiDvpA1m0+lTaW4o4bvH3vd3+UIJMgDxi92VeH0aHxl9jj0usDvL74Sr3e9x8HeCrJNyawMkn7x81mMCrNzjHT1ahRXhOcEGUVR+Om0TzDRNoYnqt7jj6f3+ruksCdBHgBqOvt4sqSOjBgLn5kWmruy7HAc5S17CQl6G3cmXI9BGXouQaCan29CAbYc6fV3KX4TZTDx1KzVJJmj+N7Rf/GP+uP+LimsSZAHgJ/srMTl0fj2gqyQXHf8QE85r3TswqqL4K6kjxGlD+5JNIk2HRPT9ZxuclPVEn5DEQdlRsbx9KzbiNAbuefA39jVWunvksJW6KVGkKnq6OWZQw1MSIxk5eTgufE3XEd6K3m2bStmxchdictJNMT4uySvKMofHIoYXqsinq8wNo0/zlyJR1O5be8zEuZ+IkHuRx5V48WjTQD8+Ib8kOsbL7FX8FTrZgyKni8kLifdFDoLgI1P1pMWp+dgtZvOnvBaq/x8S8fk8ceZt9Kverht7zO801zh75LCjgS5H2093Uad3cnqqSnMCbE9OQ/0lPO72n+hfz/Es82h1fevKApLpkSgarC7LDyHIn7Y8pQC/jjzVtyaymf2Ps3GmoP+LimsSJD7SUVrN2+UtRJjNvDwtRdOsApm2+1HeLptC0adgS8mLifXHJqzVOfkWYg0DQR5vyc8hyJ+2PKUAp6/5naiDCa+VvIyPzyxBY8W3n+tjBYJcj+wO938YU81mgafmZYSMjsAaZrGPzv38krnbmy6CL6d8amQDXEAk0FhTq6JbqfGvjBbq/yjzEvI4h/zPk9GZCw/K9vOrXv+QpPT4e+yQt6VL2Morki/R+WJA3W09vRz/fgExicMf9lWf3vX8dFDzFRNpbi3jCpXE1ZdBAuiJnO6rxFnX80oVjj6igqMbC918dYxF7NzjBj0oXWfA+CpquLLfs4Xs2az8cxBtrec5potv+RT6VO4KiZtxLWsyZw54nOEImmRjyK3qvHnknqqOvqYNS6WZbnx/i7JK/pUF9u7j1LlaiJOb2WJdVrQDzEcLluEjnl5Rjp7NPZIq/ysSL2JOzOv5pOpk3Cqbv5cvZ8nq96j3RW+Y+99SYJ8lLhVlacP1nOsuZu8hEg+e/XYoJzZeL42t5237CU0uztJMyawyDoVsy40uoqGa/HEgR2Ethx14Za+8rMURWFhYg735y0kKzKOw10N/Lh0K280ltIna7R4lQT5KOhze/jDe7UcbnSQGx/B52akYQyBiT+nnQ287ThEr+ZiiiWTuZETgnrG5pWyWd5vlfdq7AnTxbQuJcls5Ss581g19ioseiNvNJWy7uRbbGkuk0W3vET6yH2srsvJUyV1tPT0M2VMFP9+VWrQh7hb83Cwt4LTrkaMioF5kQWkBNCGyf6weKKJXaf62XLMxexcI8YQ7CsfCZ2iMCtuHFOjU9jecpp3Wir4Z8MJ3mmuYElSLnMTMjHrJI6ulLxzPqJpGntqOnn5eDNuVWNxdhwr8hPRBXl3Sqvbzr6ekzjUPmL1UcyNnBg2/eGXYrPomJ9n5O0T/ew61c+iCSZ/lxSQLHojy5LzWZCYzbaWCra3nObvDcfZ0lzG/IQsFiRkE2WQ9+5ySZD7gNOt8tejjRyotxNh1LGmMJVJY4J7owiPpnK0t4oTzjNoQL45ncmWTPRKcP914U1LJpnZU9HPm0eczMwyYLXIe/NRIvRGbkguoCghm+2tp9nZWsmbTad4u7mCa+LHsTAxh3hT8Izo8jcJci871uTg57uraO7uJzPGwu2FqcQF+TjxOlcrL7Rv50x/MxGKmVmReYwxhtZMVG+IMivcMNXMy8VONh12ccss+UtlKJEGEzckF7A4KZe9bdW801LBjtZKdrVWURibxpKkXFItsgvRUCTIvUTTNJ451MB33zxFn1tlUdZAV0owr5/iVPt5s2s/2xyHUdEYZ0xiekQuJunL/EhzxxvZfaqfPWX9zB1vJD0u/G7+XgmzzkBRYg7zErI40FHH1uZy9nfUsr+jlom2MVybNJ7sqNAYrusL8on0AofLzXdeP8VfjzYSYzbwmWkpTA7yrpSjvVW81LGLDo+DeL2Nm2Pn0enp9ndZAU+vU7hphpnfvd3LK/ud3HNtREgMMx0tekXH1XFjmRGbzgl7E1uayzhub+K4vYkCaxJXxaRyVezIJxaFGgnyETrR3M0XXj7KqdYeZqTa+N1Nk3i7st3fZV2xOlcr/+jcy0lnDToUrrUVcp1tOiad4ZIzO8UH8lMNTE43cLTWzcFqN4WZwd215g86RWFSdDKTopM53d3GpsaTnHQ0s2zH77kxdRIP5i8m35bk7zIDhgT5FdI0jecON/Afb5yi163y5Vlj+f7inPc3hgi+IG93O9jU9R77e06hAXnmNG6KnUuKUf6cvRI3TjdzssHNy8VO8lL0RJnlxueVyo6K556cuZxytLCv/Qyv1R/jH/XHuSNzBv9RcC0JclNUgvxKOFxuHnz9FC+835Xy2I0T+XhBcLYOOj3dvG0/xG7Hcdx4SDPG8/GY2eSbQ2Pmqb8k2nQsn2rm7yVOXi528u/zIvxdUtDLsyaydtL1vN5Yyv+c2MyTVcW8XHeUB/IW8bmsWRh14Xs/QoL8Mh1vdvDFl49xqrWH6e93pWTGBt+HtMXdxVb7Qd7rLsWDSqzeyseir2Z65PigH+seKBYWGDl0pp8DVW4mpvUzI0u6WEZKURSWpxSwdMx4NlTu48elb/Nfx17nqepi/mfycpYkhdaS0MMlQT5Mg6NSvvfm+10pV4/l+0tygmKPzQ/3bbe67ZQ56zjT3wyAVWehwDyWTNMY+jU3e7tP+KvMkKPTKdw2N4KfbermxX19jEvQk2QL/J+XYGDU6flSzhw+lT6V9Se38ufqYlbt+Qs3JOfzg4nXk2NN8HeJo0qCfBjOH5Xy+CcnsiI/eLpSVE2lpr+FU8462j0Da0PH6CKZYBnHWGOidKH4UKJNxy2zLDy9u48ntvfytWWRWIzyfntLojmKn0z7BJ/NvJrvH93E642lbGkq48s5c/jW+IXYjGZ/lzgqJMiHcKzJwRdfPkpZW+/ZUSkZQdKV0tzfyb6ek+x0HMOpDSzmlGqIZ7w5jTGGGAnwUTI9y0hVq4cdpf08vauXzxVFoAvi+QWBaGpMCi/N/Syv1R/j4eNv8qvyXTxfc4j/mrCUW8deFfLdhRLkH8Gjajy+7wzrt53G5dG4e9ZY/mtx4HeluFQ3h3tPs6f7BBWuBgCMip48czq5plSssi6KX9w43UxTl8rxOg9/3efkltnmkA+X0aYoCp9Mm8yy5Hx+Xb6LX5bt4OsHX+GJqvf438nLmRk31t8l+owE+UVUdvTytb+fYE9NJ0lRRn72sQKuHx+4O8BrmsaZ/mb2dZdyoKeMvvdb3+PNacyOKqDX04c+DJeXDSR6ncKaBRH8ZksPeyv6Mejh32ZKmPtChN7It/MX8Zlxhaw9vpmX6o7wsZ1/ZGX6NB4sWEJGZOgtLyFB/iFOt8pje8/w811V9LpVPlGQyKM35JMQGZirsTX2t3Ogp5wDPeW0eroAiNZFMt86mdlRBSQYBtaokIk8gcFiVLhrcSS/eauHXaf66XVprLrGEpLbwwWC9IgYfjvj03wu82r+8+gmXqg9xMt1R7gtYzrfHF9EekSMv0v0GglyBlq0W0+38b03y6ho7yUpysj/+1gBn5o0JuD6kdvdDkp6yznQU0ZdfxsARsXA9IhcpkeOp8AyVlYkDGBRZoV7rovkT+/0cqDKTaujhzXzI4iNku+Zr8xJyOSNort4ue4oj5a+zZNVxTx7poQ7MmbwlZx5JGHzd4kjFtZBrmkab1e289Odleyt6UKnwJeuTuc7C7KJtgTGW6NpGsfsTWxqOMGmxpMc7KwHQI+OSZYMpkeOZ5IlI+y2VwtmkSaFLy2J4K/7+thf6eanm7r55HQLV2cbAq7hECr0io5Pp0/lptTJ/LX2ED89tY0/Vu5jQ+V7fHzcRP49dTqLk3KDtqsrMNJqlHW7PLx2spknD9RSXGcHYPn4BB5cmB0Qi121uXrY2VLJttYKtjaVU93bAYBB0ZFvTmdaRA7TIrOI1MmNy2BlMih8Zo6FnKR+XjvgZOOePvZW6Pn4VWaykuR+hq8YdDpWjyvk0+lT+VvdETZU7uO1M8d47cwxsiLjuG3cdD6WMoF8a3ANy1U0TRvV3WKbm+1DHpOUZBvWcZej2+VhV3UH/zrVwsvHm3C4PAB8LC+Rb8/PZGqK9/68eqqkbshjbFYLdkcfqqZRlGfhQEctJZ117G6t4khXA4PfFJvBzHVj8liePDCb7eWjbZddj7/6yM0WI86+4N7Dcs64j74xZrNZsNv7RnyNtm6VV4qdHK0d2L8yK1HPNblGJo81EGnyb5h46zV6y5rMmV4/Z5XSwc9K3uFvtUfoUwe+BzlR8SxPLuD65HwKY9OJ1Pv/L96kpI/OqCGDXFVVHn74YU6ePInJZOKRRx4hMzPz7OPPP/88zz33HAaDgXvuuYclS5ZcspjRCHJN06jpcnKowc7hRgfv1XXx7pkOXO/vcJ4ebWb11BRWT03xyfT6iwW5W/PQ6emmqb+TFncnHYqDmt4Wal2t9Gmus8eZdHpmxY2jKDGbosRspsekY9DpLnnuoUiQX7nRCPJBp5vdvHXMxYm6gUaGToHxyXompBpIj9eRHqcf9clE4RDkg3nT2d/HG42lbGo8yVtNp+jxDPzs6hWFibZkZsSmMyM2nfHWRDIj4xhjjhrVVvulgnzIrpXNmzfjcrnYuHEjJSUlrF+/nscffxyA5uZm/vznP/Piiy/idDq57bbbmD9/PiaT90d5dPW5eauilT63Sr+q0e/RcKsqPf0qbb39dPT209Tt4kxnHzVdTvrc6jnPn5ps5dqceK7Njmf22JjL2vDB6XFzuKsBt+rBram4NRVV03BrKv2qh26PC7vbicPtxN7v5L32dvo0F92ePrrUHro8PXSrF/8wJBqiWTGmgOmxaRTGpjEtJpWIAPjtL0ZfdpKBLy4y0GxXOVTdz+EaN6UNHkobBoJdAeKiFGIjdcRGKtgiFCKMCmajQqJNx8S0sOwp9ZoYo4WVY6excuw0+jxutrdUsK2lguKOWg531nOkq4GnqovPHh+pN5IZGUeKxUacMZIEUwTxpkhijBYseiNmnQGLzoBZb8CsM2A1mCiMTfPJYIQhv/PFxcUUFRUBUFhYyJEjR84+dujQIaZPn47JZMJkMpGRkcGJEyeYNm2a1wv94/5afrjt9JDHJUQYmZAYRWashanJVqam2JiWbB3REML/OraJJ6uKhz7wIsyKkWh9JCnGOGL0USQZYkgyxJAVPYYIlwWzzsiaQlkoX3wgyaZj6WQzSyebaetWqWr2UNPuoaZNpdmucrrZw8X+jP7Bp6JkuVwvsegNLEvOZ1lyPgAu1cPxrkZKOuuo7G6nsqedqp52KnvaOG5vGvZ5fzj5Y3whe7bX6x0yyB0OB1brBzcA9Xo9brcbg8GAw+HAZvuguR8VFYXD4bjk+S7158Gljlt30xTW3TRlWM/1tieu/QxP8Bm/XPt89y8ruIJnXclzhAgfw8ml9ORYrgvQz9KQv76tVivd3R9s8aWqKgaD4aKPdXd3nxPsQgghfG/IIJ8xYwbbtm0DoKSkhPz8/LOPTZs2jeLiYpxOJ3a7nfLy8nMeF0II4XvDHrVSWlqKpmmsW7eObdu2kZGRwdKlS3n++efZuHEjmqbx5S9/mRtuuGG0ahdCCIEfxpELIYTwLrnFLYQQQU6CXAghgpwEuRBCBLmADvLy8nJmzpyJ0+n0dyleZ7fbufvuu7n99ttZtWoVBw4c8HdJXqGqKg899BCrVq3ijjvuoKqqyt8leV1/fz8PPPAAt912G7fccgtvvfWWv0vyidbWVhYtWkR5ebm/S/GJ3/72t6xatYpPfepTvPDCC/4uZ0QCdk6vw+HgRz/6kU+m+weCDRs2MGfOHO68804qKiq4//77eemll/xd1ohdakmHUPHqq68SGxvLo48+Snt7OzfffDNLly71d1le1d/fz0MPPYTFEporbO7Zs4cDBw7w7LPP0tvby5/+9Cd/lzQiAdki1zSN73//+9x3331ERATHRseX684772T16tUAeDwezObQ2O37Uks6hIrly5fzjW984+z/9frQW3b2Rz/6EatXr2bMmDH+LsUnduzYQX5+Pl/96le5++67Wbx4sb9LGhG/t8hfeOEFnnzyyXO+lpaWxooVK5gwYYKfqvKui73GdevWMW3aNJqbm3nggQf43ve+56fqvOtSSzqEiqioKGDgtX7961/nm9/8pp8r8q6//e1vxMfHU1RUxO9+9zt/l+MT7e3t1NXV8Zvf/IaamhruueceNm3aFFRrkH+Y3z9dK1euZOXKled8bdmyZbz44ou8+OKLNDc38/nPf56nn37aTxWO3MVeI8DJkye57777+M53vsPs2d5fSMcfLrWkQyipr6/nq1/9Krfddhs33nijv8vxqhdffBFFUdi9ezfHjx/nwQcf5PHHHycpKcnfpXlNbGwsOTk5mEwmcnJyMJvNtLW1kZCQ4O/SrowW4JYsWaL19fX5uwyvO3XqlHbDDTdox48f93cpXrVp0ybtwQcf1DRN0w4cOKB94Qtf8HNF3tfc3KwtX75c27Vrl79L8bnbb79dKysr83cZXrdlyxbtzjvv1FRV1RoaGrTrrrtOc7vd/i7rioVeUylI/PSnP8XlcvG///u/wEBLNhRuCi5btoydO3eyevXqs0s6hJrf/OY3dHV18dhjj/HYY48B8Pvf/z5kbwyGoiVLlrBv3z5uueUWNE3joYceCup7HTJFXwghglxAjloRQggxfBLkQggR5CTIhRAiyEmQCyFEkJMgF0KIICdBLoQQQU6CXAghgtz/B/hpLAIh0g5IAAAAAElFTkSuQmCC\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# plot the distributions\n", "sns.distplot(a, bins=10, label='a')\n", @@ -2585,7 +1225,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -2598,20 +1238,9 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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wPwkGA1x99bUIITj//Iu4+uoryc8v7DdQqmkaV131U66++kpSUlKR0mTatOIxn6fqKjiOHIhdBcczVTBeAUthrkWX72GIk5DarD7vRba/i8tlJzRiy7sMz/R/Y/fV0v7pqcjYwOmHyaAI1e8xvjz99BOcc84FOBwOfvnL6zniiKP44he/POR+Y8rzVigONOIdrOzBDKcAoDkDGIMob8XUw+Px8L3vfRuXy0V+fiFLl54y5jWV8lYo9sEKVrqA+JZOmxEPAJqzC6NLdRc8kDjrrHPinmOu+nkrFHsjAwg6rfzuOA9O6LW8HYl1cykODJTyVij2Yo/LJJ7BSou9LW+FYqwo5a1Q7I3szr/tHhwcT8yIGymV5a2ID8rnrVDshZCNAEjir7yROjLqQnNOPeXd+enOuK6XemhJXNebiijLW6HYC0Fzd7AyJSHrm+EUhD0IwkzI+gcSa9Z8yOLFi1i58u99Xv/Wt87l1ltvjPvxLrvs29TWJk97A6W8FYoeZBhBu2V1J2jKuxnxIIRyncSL0tIy3nhjT37/tm1bCQaDEyjR+KHcJgpFL4nzd/dghruDlo4AZjg1Ycc5UJg5cxa7du2ko6MDr9fLa6+9yimnfJH6+jpeeOF/+Oc/3yQWi5Gamsqtt96FaRrcfPMNNDc3Ulw8jdWr/81LL/2Njz/+iCeeeAyAUCjEddfdRElJKY888gCrV79HXl5eb/+ThoZ67r77DiKRMO3tbXz725eyZMkJfOtb57Jw4WFs27YVgDvu+DWpqYm7xsryVii6EbK7B8Ywm1EZLU0EP3yPwPtvE97wKdIwhtzHjPQU6qiMk3ixZMmJrFr1JlJKKirWM3/+oZimSVtbG/fe+yAPPvg4sViMior1vPTSnygsLOShh37PFVdcgd/fAkBl5XaWL7+Z++57mMWLl/Dmm2+wfftWPvnkYx5//Cmuu+4mAgHraamqagfnnnsB9977IFdd9VNefNFqj93V1cVJJ53K/fc/Sk5OLu+//05Cz1tZ3gpFN6Lb8pZDWN7SNAl+9D6hNavB3OO7Dq1fS8rxp2DLzR9wXzPito7lODAe7ceDk08+jXvuuYPCwiIWLPgcYPUTsdvt3HjjL3C73TQ0NBCLxaiqquSoo6w2rjNmzCAjwwdATk4O9957F263h8bGBg45ZAGVlds56KCD0TSNlJRUystnApCVlc2TT/6OV155CRDEYrFeWWbPtnq15+bmEYlEEnreyvJWKLoRsgmJDcgYdLv2t98k9OF7CJeblKVfxPvVc3AcfAhmSzMdr7yA0eYfcN/eXG+lvONGUdE0gsEgzz//R0455YuAZQWvWvUWv/zl7Vx11U+R0rrJlpfP4LPPPgVg586dva6QO++8hWuvvYFf/OJGsrNzAKs7YUXFekzTJBgMsmPHdgAef/xhTjvtS1x//c0cdtiifaQZv4ZjyvJWKACkgdUGNhvEwDZNZNtmAms/QvNl4v3qOWhOq0eJLb8QW34hgTdfo/PvL5P2tXMRdsf+h4m4rFxv+9RS3hOd2rd06cm89tqrlJSUUlOzG13XcbvdXHLJhTgcdrKysmlqauTLX/4qt956E9///qWUlhbjcFjX6NRTT+eyy76N1+vF58uiqamRWbPmcOKJJ/Hd715EdnYOPp/V0uDEE5fy29/ezdNPP0Fubl6fgezjieoqOI6oroLxJa5dBWUTNvN/McVcTO34fjcx/I003bMMgcR75nnovv1944F/vUl4/Vqccw/Fc9zS3tejzWW9f3vnvwZSo2P9yf0eR3UVTBzr1n1CMBjkyCOPpqurmYsv/g7PPffSRIs1IKqroEIxBHuClQP7uzvf+F+IRkhbehpaP4obwH3MEqK7qwhv/AznoYejp+/vgjEjbvSUVqZiX+9kp7CwiBtv/AVPPPEoIPnRj3420SKNGqW8FQpA0K28Rf9KOdZUS2jNP9EyMnHPnU840n9midB13IcfQ9fKVwl99D4pXzhtv23MqBub8CPsIWTUHb+TUAxJVlY2K1Y8Akz+pwsVsFQoACGbsfyH/Svvrjf+F0wT96JjENrgPxv7jNnomdlEtlRg+PefVShV0FIRB5TyViikBJqAdBD2/d42/I2E1v4LW0Ep9vJZ+72/L0IIXIuOASC07uP93u9JF1TKWzEWlPJWKAggiCDpf0BC8KO3QEo8x36xd0DtUNhLyxEpqUS2bUJG+45M6831nmIZJ4rxRfm8FQc8gpbuP/ZX3tI0CX74JsLhxLngWGK797ek+11T03DOnkvo438TqdyClrXHYt9jeU+d/ibxmh/ag6mfGtf1piJKeSvGlZ7M1OFasOOCtJR3f5Z3ZNtnmP5GXItORHOOLLjomDPPUt4b1+P6/Ol7DqfcJmNmxYrfsGlTBS0tzYRCIQoLi8jI8HHLLXcm5Hg33HAN1133S+z2/d1qE4VS3opxoSMc483tLXywux2nTWNhgZeTZ2ThtE28505gVURK4dvvveAH/wDAfcQXRryunp6BrXAasZpqzM4mtFQrDVEaDqSpK+U9Bn7wg6sAePXVl6mq2sHll/8goce76abbE7r+aFDKW5FwQjGDRz6opq4zQqpDJxQzeavST3VbiEsOL8KuT6wCF7IFiWDfsngZCRPe8AF6dgH20jmjWtsxay6xmmpiuz/BMaenaEdgRtyqv0mcWbHi18ycOZsvfvHLNDc3cfXVy3jssSe5667baGiop62tjaOPPpZLL72cW2+9kVCoi8bGZs4770JeeukF7HY7DQ31fPWrZ7FmzYds3bqZb3zjPM4882zOPvsM/vCH57n77tux2+3U1dXS3NzEtdfeyJw5B3HuuWdyyCEL2LmziszMTG655VdIKbnrrtuort6FaZpceunl/ZTTj55h/Wqam5s5/vjj2bZtG1VVVZx33nmcf/753HDDDZimaiqvGBhTSv7wSR11nRGOKU7nuhPKufEL5czPTWFrS5DnPqufWAGlBPxYmSZ6n7fCWz+FaATn/CNH7eaxl04HIYjVrOvzuhlxo9kiIGID7KkYKWeccSb/939/BeC1117lS186g4aGeubNO4Rf//p+Hnzwcf785+d7tz/66KN5+OHf4/V6aWho4NZb7+LHP76Gp576Pddf/0vuvvs+Xnrpxf2Ok59fwK9/fT9nnXUOf/mL9X5NzW6++93/5JFHnqC11U9FxQZefvnPpKdn8MADj3HHHffw61//Kq7nO6TlHY1GWb58OS6X1cPh9ttvZ9myZRx11FEsX76clStXcvLJ/Zf5KhQf13ZQ0djF7CwPXzs4F10TgOCCBQU8/O9qPq7t4IiiNGZnJ2ZyzdB0IYhgMm2/d8LrPwDAOffIUa+uuT3Y8gqI1e3ADHWguaxy57393mZ44BJoxfApK5uOYRjU1dWycuXr3Hvvg2iaoKJiPWvWfEhKSgqRyJ7Mn+nTp/f+XV4+A5vNhtfrpbCwCLvdjtebRiQS3u84s2bt6Ry4bt0nAKSnZ5CXl9/7eiQSZtu2rXz66cds2PAZAIYRo62tlfR+qm5Hw5CW95133sm5555Lbq41TXv9+vUceaT1ZV6yZAnvvvtuXARRTD0ihsnftzSjCzh7fl634raw6xpfn5eLAF7e2IiZ+BY7/dLj72Yff7c0DcIVH6F5M7AXzxzTMexlMwCJUbe+9zWV650Yvvzlr/Lgg/dRVjYdr9fLq6/+ldRULzfccAvnnvtNwuFQv0HzkTxY9fcU1t9rpaVlvf2977nnPk488SS83rSRn9QADGp5v/jii2RmZnLcccfx6KOPAla2QI+gKSkpdHQMXV7q83mw2fQhtxusCctUYTTn6G1xDfq+yxUd9P2xkup1Dmu7nnPr+fehd3fQHIxy4swsSvs574NSXRxT1sG7O/xsaA5yTFn/edZDHa+HSNfgn1N/xEIdREPgdOdhc+zZP7h1PbKrHe/iU0lL9/S+3uWysg1cruFnHdhmzyH4/ttQvwHv/BOsFzXrR+z2xkD2lduXJL+DkX1Xz06YHIPh9brweBy9sn7jG1/jvvvu4aGHHiInx8vJJ5/Aj370I37wg3W43W5KS0uRMth7/XJyvGRkeHA67eTkeGlv9+Bw2MjJ8eJ0SnRdIyfH2/uvy2UnPd1NTo6X9HQ3Lpe1n6aJXhmcTjsZGR6++91vcd1113HVVZfT2dnJ+eefT15eetzOfdCughdccAFCCIQQVFRUUFZWxoYNG9iwYQMAb7zxBu+++y7Lly8f9CCqq6DFgdRV0JSSox9Zze72MNcePx2vs387oTUY5bZVleSnOrnq2JIR+Zbj0VVQM99EkxuJaef0yfPu+OtTBN5+mYyLr8F50GG9r0e2v4vLZScUGtkNs/XZZ5GBFlK+chtCd6B7G0md9S6h2jmEaw/qs63qKjg+TIZzHOwGOqjb5A9/+APPPPMMTz/9NAcffDB33nknS5YsYfXq1QCsWrWKRYviFz1VTB3e3dnKjtYQC/K9AypugAy3nXm5qdR0hKlqDY2jhBZC+pFoQF+LKLx5LdgdOGbMj8txbPlzwYhiNFUCe/m8VZWlYpSMOEfrZz/7GStWrOCcc84hGo1y6qmqEkqxP898UgvAUcVDPyYeW2IFcN7ZOc5N7QfINDE6/Bj1u3CUHdzvQIXRoOdaFZZG4xZgalZZKsaXYed5P/30071/P/PMMwkRRjE1aA1FeWVTIzMz3ZRlDO2HnpnpJjfFwad1HZx5cC4ex9DxkfjQnWkiivu8GtlmBRYdM+NjdQPo2TNAaBgNlvJG6phRh8r1VoyaiS9vU0w5Xt7YSNiQnHdowbB82EIIFhWlYUhYV985DhJ2H5eesvi+mSaRrVZOtmPmIfE7lt2F5ivB9O9ERi33kBlxd2ebTEymjWJyo5T3VMaUpLZG8TWE8dWHsYf6HyAQb17ZbA02+OpBOcPeZ2G+FZhZWzeOASTZf0OqyNZ1CHcKtsKyuB5Oz50N0sRo2mYdPupGaCbCltgp44qpiVLeU5TU1ijTKzopqgySuztMbk2Y8ooupm3tQo8mriq2LRjl7R1+DslLpSRj+I2cMj12StNdbG0O0B4en6pDgeVj39vyjjXXY/obcZTPQ2jxdd/0+r0b+vq9VWtYxWhQynsKktEYoagyiC0q8Wfb2T3dTW2Ji65UnZQOg7KNXbi6EqMgX6moJ2pKvjR74FmQA7GwwIsEPh0n61vI1m6HxZ7CiUS4THrQs8pAs+0JWkZVoY5i9CjlPcVIb4qQVx0iZhNUzUmhodhNZ4ad9iwH1TM9NBQ50WOSaduCCXGjvLiuDoAvzRm+y6SHQ7tdJ+Pn924DvCD2xO2jOyoAcMyYF/ejCd2BllmK2bobGQ3tlS44/imSismPUt5TCEfQILc6REwX7JzlIeLe57FfCPy5TupKXOiGZNq2AFosfsGyiGHy2qYGyn1uZmd5ht5hH9JdNqalOan0BwlGE+yflxEEAeQ++d3RHZsQ7hT0nKKEHFbPKgMkRkvVHreJsrwVo0Ap7ymCMCUFVUE0CfUlLqKugf217VkOmvMcOCKS3Or4WX0fVLfRGTZYWp456i58c3NTMSVsbOqKm1z902b9I/Y0CTI6/Bgt9dhLZw85ZHi06FlWMySzeQdm1EqjVIU6itGglPcUIaMpgito0pplpzNj6L4bTQVOgh6NdH+UlLb49EZ5s9Jq8nRi+ch6lOzNvFyru+CGhsQqbyEt5b235R2t2gyAo/SgfveJB1pmGQBGSyWyR3k7lNtEMXKU8p4CaDFJVl0EQ4fGwmE2ZxKCuhI3UkDerhDCGLv75M3KFhy6xjHFo295Weh1ku6ysbGpC8NMZP5zdzWn2Et579gEMOrBC8NBc3kRqdkYzTuQpsCMOlW2iWJUKOU9BchsCKMbkpY8J6Zt+O6KiFunJdeBPSrxNY4t17gxHGNdfSfHlWeSMoYKSSEEc3NSCEZNdrYlziIV9Fjee2400aqNoGljbgE7FHrmdIgGkR0NmBGXKtRRjAqlvCc5trCJryFC1C7w5zgwpaTS6OCDWAMfxhqpNrsYpHEkLXlOYjZBZn14TPnf7zRZ1uOpo8gy2ZfZ2Vawc3MC/d5WmqAGdA9HiEaI7t6OrXA6wjG8FrijxQpagtFcuadQR1eFOopXZRPQAAAgAElEQVSRoWZYTnIKKwNWkDLHzl9ju3g1upNW2VcRZAknJ9oLOcU+jRTR1x9u6oLmfCd51SGy6iM0TBt5T2yA95stK3nprJHnd+/LzEwPAtjSHODUWWNebgDagDQQlv0Srd4GhoEjgS6THrTuoKXRXIkZsfqnCEcIGUzsTUMxtVCW9yRGmJKi7QFiGvzE8xnPRrYSkSZLbPl80zGTcx0zOMaWR0DGeD5SyY+63uOtaM1+lnhrlp2oXZDeFBm19f2BP0SqQ2dB4dibzbvtOiXpLna2hRKTMihDCMJ9g5W7tgJgL5kd/+Ptg5ZeALoD079zT6GO8nsrRoiyvCcxudUhnCGT5zMa2STaOd5WwPnOmaTuY10HZYw3orv5c2QHj4U3sjbWzGWug/H0FKdogpY8y/r2NUZoGm7Qs5vGcIzKrignTvf1GXU2FmZle6hqC7GtJcj8vNS4rLmHnmDlXv7ubuVtK54R52PtjxAaWsY0zOZKzJB1DVSVpWKkKMt7EpO3rRMTyVMZtXzTMYvLXAfvp7gB3MLGGY5SfuU5ioO0DD4wGrku8AFVxp4y9LYsOzGbIKMpgjbCzJOP/NaQ1qPHkGWyLz1FPpub4+/37i9NMLZ7G8KTip6ZF/fj9YfuKwYkht+qJlWFOoqRopT3JMXZHiXTb/BvTztHpxTxRUfxkPtkaS6udS/kDHsp9TLITcE1fBprBkBqVsBTNyC9eWTBsw9aLMVz9LT4zecrzXDj1AVbmuI/rEDskyZoBjowmuuxF80YdXHRSNF81vWK1lsdGFWJvGKkKOU9SYlusibVrMmN8nV72bD304XGuc4ZLHPNx0Ryd+hTVkWttdqy7ZgCMpqi3VNmhscHLSEcGnyuMH6Dc3VNUJ7poTEQxR+M94DlvmmC0ertANjHwWXSg96tvGO1NYDyeStGjlLekxB/OMBBtdCpGZTNmzkqa/EIWy7XuBfiQueRcAUvRXYQ0wUdPjuOsImnY3iBws6YyYb2CIekO3HZ4ttCdY/rJL7Wt5BtSGyAVc0Zre72d09LbH53Hxm8uVbQsmmnmqijGBVKeU9Ctm3eTm7MwbZ8gcc5utQ+gDl6Bss9h5MlnDwX2c5/hzfTkm35zIdbtPOxP4QJLPKNXo6B6Mn3jqvrREqsgGU6dN/0YtXWcAT7tPL4HWcIhNDQfMWY7fXdhTohVKGOYiSobJNJxo4uPzPrrR95bEbWmNebpqVwo3sRd4U+4Y3Yblr0ML/xlJPSHsMWMYk5NN5rqRpw/z/VWKmFXnsHT1V9hLfFRUfHHv/t+52jHyosJbgdGluaA5hSosXFHx1AEMPskya4Dc3rQ08f++c5EvSMaZhN2zC7JLYUA6FHkUZ8Bh4rpj7K8p5krKzfxAmdPgJO6MiOzw89U3Nyvfsw5uk+1hhNPO2tQQDpLUP7mje1SwQwO37u7l6EgNwMSVfUoKY9HJ819wlWGu1+zPaWcfV396BlllgytFnnplwnipGglPckorKrhfSGCBmmjZZpnt7H/njgETZ+6lrA5215PJtaQ0iYpDSHBw1cRk3J1k4o9kDKCHqqjIS87uzDLfHye8u+wcrYbitYaSsaP5dJD3rGNEuGFitlU2WcKEaCUt6TiLeatnFSpzVvsbEo/j5mm9C43DmXk53FvJHagjsCu9taBty+sguiEuZ4E5del5th3Tzipbx751Z2W97Rmh0A2Aunx2X9EcmSmgOaHaPR+oxVd0HFSFDKe5LQGO5kU1sDS7syCbs02rKG7tk9GoQQ/IdzBjLLysQINLXxQng7Zj8W+KYO67U5CXCZ9OByQF6qg0p/kJgZh8HJ3ZY3PZZ3TSUAtolQ3pqOlp5PtL4BUFWWipGhApaThH8172BBMBWvobO71BVXl0l/zM7IJWDvYGmnjzvDn/CZ4ed7roPJ1/aMN9vUbinvg9ISK8usLA//6mylqjXEjMz+x6sF338Ce9aOIddyFdQibRqRqjWAIFpVgXC5iTVvxGgZnwKdvdHSCzH8n1p/K+WtGAHK8p4EhM0YH/mrOTloZUM0FYxD9zkhCGQ5cUudywKlbDbbuDbwb/4W2YUhTUwp2dwBuU7wORKvvCEerhOJsEcwo05AYIZDmB3t6Nk541ZZuS9aeiFGdzBWKJ+3YgQo5T0J+KS1lpAR44SAj5hN0BqnLJOhaMu0XDNntedyhXMedjSejmzh2uAHvBVooctIrL+7h3KfG03A1jEqb2GLIIRERq2bn9HcCICelTtmGUeLll4EMRMzpCxvxchQynsSsNq/k7Koi+yQjj/XgdTHx0qMOTW6UnU8XQZLzBx+5TmaE22F7Da7+J38BErXkZ3eMfRCY8Rt1ylOs1rEhmKj93sLm2XhmrFu5d1kKW9b9sQpbz290JKlI9pdIq8KdRTDQynvJGdrZxNVAT9nRYsAaCqIf5bJYLR3B0bTWiKkaw6+6zqIW9xHkBbOAG8Lf3J/xP2h9dSZ8W8gtTczszyYEra3jP44mt2qGu21vJusQKGePfbpP6NFOFMQ7nQMfxdCN0CPTZgsisnFkAFLwzC47rrrqKysRNd1br/9dqSU/PznP0cIwaxZs7jhhhvQNHUfSATP77aCWccFMpBAS/74TlvpSLeTJ0J4/TGa8yUIQamWilZ1KB63n9zSSt6L1fPvWANH7C7mzPJD0In/k8GsLA8rt7ewpTnA3NzR9ffusbxlt+Uda24Amx0t3Rc3OUeDll5EzN8JZKgGVYphM6TyfvPNNwH44x//yOrVq3uV97JlyzjqqKNYvnw5K1eu5OSTT064sAcappQ8X72OTGmnsM1qGhV1ju9NUuqCrnQb3tYYzqBJ2KPTGIbWiOCI1Ex+6M7mA6OR/w1v5/2WnXzUupvPZ5bxhZwZeGzx882XZriwaWJMfm/N3u02iTqRsRimvwU9N3/CgpW9cqUXYrRtsf5Wfm/FMBlSeZ900kmccMIJANTU1JCdnc1bb73FkUceCcCSJUt45513BlXePp8H2zA6zuXkJDBhOEkYyTm+U1/JzmAr39NnoUnoLPHg9e7vNnG54t0ytS/BXBfe1k58HQatmS62txqAyXyfDY/bxvEUsTilgJczWnh51wbeatrGav9Ozi47FIfTO2bl6E21znlWdgoVDZ1Im400l63PZ+lPdYFr8Nx3YY8gDRsup4toWz1IiTM3D9cQ+/XHSPdxpQ7s7rLllRJp+wwAd2oMX5L8DtTvMbkZVp63zWbjZz/7Ga+//jr33Xcfb775Zu8PMiUlhY6OwYNWfv/Q1lJOjpfGxsQHvyaSkZ7j0xUfAvD5TqsasM6n92n61ENqKLHKO+wWZGngaQxTl2vnsxYrqDbDbRLa69gLPAUc+bkSXqvayBsNW3h620cU2bM43D0Thzb6oqKOTuucp2e4qGjoZO2uFj5XkNbnswx2hrA7B/scTNx6GDOcQjgUJVxr9TAnI7PPOQwHl8s+4n2inQOnAZquXGLV1lNBRHYkxe9A/R6Tg8FuLsN+Br/zzjt57bXXuP766wmH9zQJ6urqIi0tbWwSKvZDSskrdRtJ051Mb9GI2gXtvsRUVQ4piybozLBjj0rcXQab2iUuDUpS9t/WoeuckDODH886nvKUTHZHm3m942Najc4xy9GT7z0a14mVJrjH3200WxNs9MyJC1b2IFJzMDusm4HyeSuGy5DK+89//jOPPPIIAG63GyEE8+fPZ/Xq1QCsWrWKRYsWJVbKA5BP2mqpDrZxvncO7qCJP9eZ8KrKwei5cTibo9SEYJYX9EHk8Tnc/Of0Y5jnKiEoI7zVsY6G6OjbwwIUpTlx2zS2NI9cwe3xd1t+eKOlO8c7M3tMMsUDoelIrKCp6m+iGC5DKu9TTjmFDRs2cMEFF3DJJZdw7bXXsnz5clasWME555xDNBrl1FNPHQ9ZDyj+WrsBgC8ZBQC05E1sn+eAVydmE6S1xtCRwyrO0YTgYFcJR3sOwsTkna4NY1LgmhDMyPLQEozSHBiZ26I30yTqREqJ0dyElpaOcCRH/2zhKcAMRNFsY39CURwYDOnz9ng8/Pa3v93v9WeeeSYhAiksl8lf6yrw6HZKWzUiYFneE4kQdGbYyGiKcrgwmeMd/sizaY5sdKHxXlcF73ZVcIL3EDL00aX7zcr08Fl954hdJ8K+p0BHBrqQoSC2/MJRyZAIrIyT3ejjVD2rmPyo5OwkZGNHI9u7WjgpZxbR3X6CHp2wJ77zIUdDj+vkND3GzBEG6QvsmRzhmU0Mg3c6NxAyRzahvofR9jnpLdCJOTFauv3dWRPv7+5ByyjCaAuj2SXIxBY8KaYGSnknIa/UVQBwtmsGMhyjNSc5rDG/S6NeCr6gxxiNRMWOHOa7SgnKCKsDm/ptMzsUOSl20pw6W1oCI9pf2MKYMTtIbU9PkyTwd/eg79WgCponVBbF5EAp7yTklboKHJrO4QHLtZAsyntLp2CloZMKpHSMrox7jnMahfZMGmNtbAzvGvH+QghmZ6fQFTFYVz9M/7Aw0GzRvRpSJZ/lLZypGF3df8umiRVGMSlQyjvJ2B1sY317PcdlTUfWWIMDxquL4FBs6pD83bTCJF7/6JS3EIJF7tm4hYOK0C78sZEH6A7OsXIUX986PAtV2CyXSW9DqpYmqyw+LX2w3cYdGe3OvQzvnFhBFJMCpbyTjJUNWwE4OWcm4d0t2DI8SeHvBkt5r5caYbsgtS2KMEfXAc+h2TjcMwuJ5MPAlhG7T2ZnedAEvLFteMq7J01QRp1II4bR2oKemT3hZfH7Ykpruo/ZuXmCJVFMBpTyTjLeaLB6XHxBFCAjMZzTsiZYIotY97DhaR5Bl8+ObkJK++g74OXbfZQ6cmkzu9gWrhnRvm67znSfm49rO2jsGjrwuXcrWKPVD6aJnpU8/u5eNMuNIyLK8lYMjVLeSUTYiLGqaTszU7LIbLbymF3FyaG8K7sgYlrDF3qyTrz+sZXlH+qajl3YWB/aSdgc2VoH5aQggX9sH3hAcg97W957BjAkj7+7B+ko6v5D+bwVQ6OUdxLxfstOAkaUpbkzCe2yXAKuJLG8K3rmVXoh7NaIOASp7bFRu04AnJqdua4SYhgjDl72+L2H4zoRtjBSgow5eoOVtiTKNOlB8xRiBqMIW9dEi6KYBCjlnUSsbLRcJkuzu/3dvhT0QbrRjScbupX33DQBwmpPq5mQ0ja24QHljnw8wsm2cC0Bc/gzHPNSHJSku3izsoWoMfh0Hc0eRsYcgEiqsvh9Ebodo8NAd5vIUaRRKg4slPJOIlY2bMWj2zk8moGMGknjMomZ1rDhIjekdw8b7uh2naS1js11oguNue4STCQbQsO3voUQLJ2RSXvY4IPd7QNvqMUQutEnTVDzpiGcE1yxOgBmUENz2zDbtk+0KIokRynvJKEq4GdLZxPHZU/HrLH6fyRLsHJbF4TNbqu7m7BLI+zUSGmLIYyxWYml9lzSNA87IvW0G8OvLjx5hvX5DOY60fZKEzQDXchgICmt7h7MiPWkZTZ/NMGSKJIdpbyThJ4UwaW5swhXd/u7k8Ty3tC2l8ukByHo8NnQJKSO0XUihGCeqxSAihFY358vycBl0wZV3mLvYGUSlsXvizSsvgOyfcMES6JIdpTyThLeatwGwBcyywnv9mPPTEX3JMejfY+/++B92rZ3ZHRnnYzRdQJQaM8kXfNQHW0ctu/bbddZXJrBxqYAO4P991jT9k4T7K2sTF7LWwpLNhlUbhPF4CjlnQTETJN3mndQ5vGR1w4yZuBMEqs7Ykq2dECJB7z2vkUtEbdO2KWR0h5Di43NdSKEYJazCAlsGUHe9xdnWcrub02e/tftL00wCQYwDESP8haxugmWRJHsDGsMmiKxrG2roSMW5szC+YQmwGWyvWVgP3NlQBCVDoocMba3hPd7XzhhdggCNV2874ridNkJj3IsW7Ejh89CO6gM1zPXVYJdDP71fGptDZ2RGAJ4rtrF6aX7n0d5ThDNFGxviuJtqEfTbew07DDEaL7pvv5vBolGxqzjCr0daRoILTmqaxXJh1LeScDbTdYj8pLs6YTetZR3vIKVxXmfDrmNO3XgKsV12/KBAo4vrWJeTjvrd87t835timB2GxQExp7apguNGc5C1oeqqAzXMds1bch9Uh02ZmS62dIC9SEXea69XS4ShzNKJGwHw0Rrb8XwZYOWvA+cZsQNgO61YTRvx5Yza4IlUiQryfstPoBY1VSJAI71lRKp8WPP9qK7k6MZ1Wd+LxqSeRn9F44E7II2B2QHJa4xuk4AZjjy0dHYEq7FlIPnb/dwaL4V5HurMb/P6zabga6bRMJ29HY/QpoYGcnhjhoQ046M6ejpTozu1sAKRX8o5T3BBIwoH/h3cUh6AanNYaRhJk2KYNgQbG7zMN0bJMVuDLhdnUdDA2b7B95muDg0O2WOPIIyTE106NJ3gEPyUhFIVtb3nYzj6J4mHw470FutJ5qkV96Aaaahp7uI1aqME8XAKOU9waxu2UnENDguazrhXcmVIljRmkpMaszP7Bh0u1qPFcg8uGV4lvJQzHBaczsrI8ML2nmdNg5xd7C+3Ud1YI+v2uG03EGRsB1tEilv9Hw0j51Y4/qJlkSRxCjlPcH0+rtzyvcEK5PE8v60xXJHHOIbvOd20C5odUBpu4k7MnYFnqZ7yNLTqI+10mUML21wsdcPwN/ri3pf67G8I2EHelszEjDSM8csX8KxdT9BdG2ZWDkUSY1S3hPMqqZKHJrOkWlFhGtbseemobnsEy0WAB83p2HXTOb5Bre8AWpTLNfJrKaxFez0UO7MA4ZvfR+V0opLi/G3uiJ62oI4uy3vcMiG3tqMmZoG9uSIJQxKd7ogZj0yOvx+L4oDC6W8J5CWSIB1bbUc4StGb+gEw0waq7spZKeq0808XydOfehAZK1HIIGDGuOjvKfZs7ELnR2RBoxhBC5dmslxOfXsDqbwWbsPsCxvw9AwO0JokTBGRvIW5+xNT6637rVjNKjBDIr+Ucp7AnmnaQcSOC57em8L2GQJVn7cbJVTfi5rkKZPexG2CarSNIraDTJCY3ed6EKn1J5LSEaoCA1vOMHpBdUAvFxTzN5pgnqrFficFP5uQApLTj3NSaxOBS0V/aOU9wTyz9787nIrWCnANS05fLIfN1nK+7BhKm+Az7KsgpJ5zfEJXE53Wql/73dtHNb2i3xNFLoCvFFfSEQDTZPdyrsnWJkcn+3QdCvvDCcxlS6oGAClvCeQt5sq8dqcHOrJI1zXiiM3Hc058f7umGkFK/PcYQo9+1dVDsQmn0ZUg/nNBsShH3W6noJPT2VTqHpY3QY1AWcU7iRs6qwPWMHWvmmCk8ttYkt3YdSqjBNF/yjlPUHsCrRSGWjh81llmHVtYMqkcZms93sJGDqHZ7cxkhm9UV2wNduGLywp6ozPMIFSRy4SyZrA1mFt/6WCanRhUh21Wqv2WN6mw4l0p8RFpsTjQeJBz0xVlrdiQJTyniDebqoEuv3d1Va3u2TJ717dmA7AUTltI953Q6715DC/eewFOwDF9hw0BGsCw0uby3KGOT6njjSPlaUR6dLQOtsw0rMY0Z1oIhECKXLRfU7M1l2YoeG7rhQHDqq3yQSxai9/d2j1ZhACZ9HE+2RNCf9uTCfVFmNuxuD53f2xK0Onww4Htxi8UWLD0MamMJ2anYNdJawPVVEbbaHAPvRndFF+DW6flfet7Q4jAOHNwxV2D/u40Y5B3FdBnegwkmrs3rG0ys1Fs+9A89gx6irQyo4aw1qKqciglnc0GuXqq6/m/PPP5+yzz2blypVUVVVx3nnncf7553PDDTdgmvEJTh1ISClZ1VRJnjOVmY4MIvVtOPLS0RwTfy/d1u6hJexgUU4b+iiey6QQbMjScRkwszU+343DPDMB+GiYRSuHeNuZl9VMU8BNc611A5Lpk8Pf3YMUVp677nOpjBNFvwz68/zLX/5CRkYGzz77LI899hg333wzt99+O8uWLePZZ59FSsnKlSvHS9YpQ0VHA02RLo7LLidS2wqmnBIukx56sk7i5TqZ6y7BJRysCWwdXrMqYVKY1sHmFh9V9VZDLTMteXt498feyttQylvRD4Mq79NOO40rr7yy9/+6rrN+/XqOPPJIAJYsWcK7776bWAmnID3+7iXZe/qZJMPwBSnhnXofLt1g4QhSBPel0aNR7xHMaDVJjYw9cGkXNhZ4ymk3A2wN1w69vSuCJqC23YurowEpNKR34l1SI0GKXABsmR7VoErRL4M+p6ekWNH5zs5OfvjDH7Js2TLuvPNORHfgJyUlhY6OoUunfT4PNtvQTeVzcrzDkXlSk5Pj5f21VtHJmXMOoeP9f4MmKDq0BH0At4m3xTXomi7XwL5V+zA+d123ruemVg/1QScnFLbgcQDs76+22wdez9ld1u902fmsULJ0a5jDWiWrS8ZWku5NdbFYm8vqro18Fq3k8OwZ+x/bae/9jrm6e3rnY5Ib20GDq4BMx8hkGOpzG87n6trrsrlSB7+Ge+PL8WJEp9PZAPbCXIJrNpCdndr7uxsvDpTf42RlSCdrbW0t3//+9zn//PM544wzuOuuu3rf6+rqIi0tbZC9LfxDTC0B60NsbBz6RjCZycnxUlPfylu125iZkoXdbxLY7ceRn0FLW3DA/To6Bu9vkTrI5JpobGjXhdE9/f2tmgwAFuf6e1/bb73owOuFQ3sm6XySBos1mF8T4e0cgRyD4unoDJEnM0nXU/i4fRtfST0Gm+irPDPCUWLd56o7rc+rLNwKhFkpZzG3y0GRa/h9Qgb73Ow2fVifK3tdl2jn8I8da+wAmYoDsGWnY3Q201C5Hc2bO+w1xsqB8ntM9nMc7OYyqNukqamJ73znO1x99dWcffbZAMydO5fVq1cDsGrVKhYtWhRHUac+a1p302VEOC57OuEaP8jk8HcbpuUySbNHOTRz7KlpEd0KXKZFYUbb2AOXmhAc6p5OUEbYHKoedFtHt5I2Gyy/fYU+nQeq9rfWkxrhRuJFT7eeZmKqWEexD4Mq74cffpj29nYefPBBLrzwQi688EKWLVvGihUrOOecc4hGo5x66qnjJeuUoE+KYBL17/64OY22iJ1j81qxxSn7f22OZR0vbIhP4HKh21LAa4eYrG53h5GmwKyxBg53pRXyWlMe6zqGfkpMJqTIQ3NHQaAyThT7Majb5LrrruO6667b7/VnnnkmYQJNdd5uqkRD8PmsMkL/+Ah0DUehb6LF4u+7rVS6kwqb47ZmfYrG7hTBjDaT9LBJm3Nsd4USRw4+PZX1wSqiMjbAgGKJwx0mGnIg/PVI4PSZBs9vhHt3zOTx+WsmTa2OFLlo2la0VIfKOFHsh6qwHEc6o2E+9FezIL2ANNNGpLENZ34G2jCCX4mkKWRnTVMaM9K6KE8b2Pc+Gtbm6ghgQePYrW8hBAvc5YRllI2hXf1uY7MZaLpJJOhEa21ApvpYkBXihMxG1rZn8GbLZMr37s44yfYSq/lsgmVRJBtKeY8jq+q2E5OmVRK/uwVkcrSA/UdNFiaCU4riZ3X3UOHTCelwaKOBZo49bXChx3KdfBLo33XidFkDGKLtIGIRZIaVL/3Dsq3owuS+HTOJmpPD9O7J9XaUlROrq0Aa8emVrpgaKOU9jrxeYzXWPz5nRtLMq4wYgteqs3HrBovz/HFfP6YL1mXrpMbgIP/YA5dF9iyybWmsD+0kbO6fZdMztzLa2F2c0628S91Bzs7fza6Qh2driscsx3jQo7xthQUQC2E0bZtgiRTJhFLe48jrNZtxazaO9BUT2tmEsGk4CzImVqbqdPwRO6dMa8JtS0yrg49ydUzgyLrYmFvF9rhOojLW75AGZ3fOu1Fr3Yh6lDfAf5ZUkmGL8NiuMurCzjHJMR70Ku8cK9Aaq/l0IsVRJBlKeY8TdaEO1rfWc3RWKbZQjGhzB86iLMQE+rtNCf9vazY2YfKl4saEHafVpbHZp5EfkJR0jP0G0eM6WduP66RnbqVRVYdEINP3lMWn2WJcWbaNoGnjN5UzxyxH4rFk19Os74jyeyv2RinvcaJnas7x2eWEdna7TEom1mXydq2XnZ1Ojsv3kz1IlWY8+He+lRlyZN3YA5f5Nh+5tgw2hnYRMiN93nO4IsTCNmist0ribX27A345t5ZDvW280ZzHe/4kL5kXDiQ+NKcVRI7VrJtggRTJhFLe48Sqxm7lnTOD0M7u/t0lE5f5EDPhsYo8dCH5ell9wo9Xk6qxK1Uws80kr2ts1rcQgoWeGcQwWB+s2vO6ZuJwxIh0aggj2sdl0oMm4Oflm9CQ3LV9FpEkD15KkYcQLWgZRRi1yvJW7EEp73HAagG7nTy3l4NTcwjtbEJzO7DnTFzRyN92ZbCz08npJX6KUoY/6mwsvFtoWd/H1o49a2KhuxzoW7DT4zKJtVj/ysyCfvedk9rJNwqqqQql8ExNyZhlSSRS5CIwccycj9leh9nZNNEiKZIEpbzHgY0djdSHOzmpYBZGawCjM4SrOGscGg1JNG1/d0hnVOPxilycusnFcxLn696XyjSraGeO3yQnMDbrO9eeQaE9k82hagKmdfNxOK1zjdVZZfFmZuGA+19eUkmWPczju8qoDQ2/adT4050uWFoGKNeJYg8T3/3/AOCf3SleJxfOIrQj8S4Tmx5ibtk/KcypQNcMAqE06lpm0Bm0jvnohjxawnYuOaiBbHeMpq6EiQLA4Tv+3vt3g+6jiEP48pYaPk0fXtVgsbP/LIsltjB/tJvU7HiOOTh6c7xjuxqQNsegbWC93cHL5Vvmck/lTO4+ODldEr2tYQus4GWsZh2O2SdOpEgjIvj+E+NyHPfRF4/LcZIJZXmPA//s9nefVDg74f5up72T4xY8TXHeZ4TCXjqDGbid7UwvWEtGag2fNnv4845Myrwhzp81/o/gTQ4/rbY28iLZpMqsGZcAACAASURBVEfH5jY61rCCke/qlsXtclkWuFFVj5lZMOTMytNz6vhcWitvtuTyTpIGL6WwXD+2LGuEW2z3JxMpjiKJUMo7wYSNGO+1VDE7NZtCt5dQdTO2dA+2dE/cj6VpURYd/Gc8rna27T6Cf679NttrjmDb7iMwTJ3i3PX8Xw1oSK5eWINdi8+E9xEhYHOqNYxiVud0GIMIeVJjhqnxmWbQjonTHSEWAbMjMqjLpFcUAT8r34SOya+2zyZsJt/PQQrrPDRXAOFKJ1a9doIlUiQLyfdtnWJ86K8mYEQ5PrucwG4/MhxLmNU9a9r7ZKTWs6thHhurjkNKKz84EM5gW+3nMKXgji/8g8vnV3NIZnx7mIyENns7DY4mfLF0ciNj+yyOMeyYAj52hHE4okRbLCt8oGDlvsxK6eLcwmqqQx6e2p2MwUsfEheCWmxFh2I0bcUMJXcPasX4oJR3gunxdx+fM4P2bXVAYlwmqe5mygs/JBBKY/32pew9BUdKuO3fB3P36iMpTuvgyiM/iPvxR8qWlEpMTOZ0zkCXo/8aHtPtOmlIb0cIiNa0IxGYGfnDXuOy4kqy7WGeqC5ld7IFL4VAigKEtJQ3UqqgpQJQyjvhrGqqxCY0js0qpWOrlU+diHmVB5WuQtNM1leeiGHuKUyREh6tyOWlHZn8ueIQQhE32em7sNsmzvIGCNiC7PDswmU6Ke8qHfU62VLjIEPHk2ZFXWNVTdakePvwx56l2gyumr6VsKlz9/ZZo5bl/7d33vFxVde+/55z5kwvGkmjLtmSbLn3gjHFYBNTAoFAgARCQuCRS/JuXgJJcHIhgUdISHJDCukhIfeFFnoLoZkmbMAY415kW5asLo2kmdH0dvb7Y1yx1UYjyYb5fj58AM2cfdaeM+d31qy99lqjhZCKkYiiTpwCQKI1GzrJkhXvUcUTC7PJ28ZCZxnmpExgfzf6AgeKaWQ9HT+K3dJJYe4+enyldHkOb/tOaIJ7thTz0B4XpZYoPz6llS5PFbIkKHQO3NBgLGgwNxOSw1SEy7DHrWmPc2pSZbot1T0n0e5Hyx9+4alz8ztZYPdQ63FR2zv+lR6PphQAtSyVeZKNe2eBrHiPKm+669EQnH1gV6VIahgrM9+HcHLZewDsbVly6G+emOAnOzWea8xlsiPM709vIN+YwBsoJhKzkGNrR6cMva/iaKBJGjtse5CRmOmfipxm+GRJUscM24Et5F1BNNfwxVuS4HvVdSiSxi/21RBJnji3xsGME8UuIRmsJFqyGSdZsuI9qrzatQeAcwpqCDd0AWCqyqx425ReCnP34vUX0e2bgCYEb3Zp3LJZo84PZ5f4uPe0RnKNB2uKSHR7K5AlQb7j+A0NxhKP3st+UwuWpJmaQFVaY+QgMcsaIeiJocUFWl5pWuNUmUNcXdJMa9TEnxrTG2M0OJRxQgdKySySXXWI6Cgn52c54cmK9yiRFBqvd+2h2Ghjhq2AcIMbncWAvtCR0fNMM29AkqChfR5bvfDDbRr37RNoAr4yUeKOhS1Y1KN3M3oCxSSSKrn2FiQpM/0lR8JeSyMBJUh5pITiyPAfbnpDjBx9AqnNR3tOIejSD0vdUN5Inhrlz41luKPq4AeMAQfFWxKtqGVzQWgksnVOPvFkxXuU2Ohtozce5pyCycS7+tBCURxTSjK6JV4hTo15E/6Imf/1ZjU/3aXREIRT8yR+PkfmnCL5uPtUhFDo6StDpyRwWLoyZk+6aJLGZvt24lKCaf7Jw45/2w4uVnYGeDtnZOl+ZiXJDeWNhJIK9+47UZo22BDYkEQrurJ5AMSbN4yzTVnGm6x4jxKru1Jdc1YUTD4UMnFMGXzjyFBp8yTxdm7GKEf406aZNAR0LMmTuGumzH9OlskzDPyQ8PSlbHHa2jJm00gI6SJss+1CRmaebybmhGnIxx4U73hHgH85JtI0wh8TlxS2MdEc5uGWIvaHToDUQUlCSOVAJ7qKOQAkmj4YX5uyjDtZ8R4lVnftRZVkzsyvItLQBbKEffLQc4+Phy+k8dauGPe8GOSXL4VYmJfK923pnMEv58l8Y7JMpXVonn0sYSYYzsFq6sWojs7CZb6/hemt7zCxexs5wc5Bu+h0G3rZad2DXuiZ75s1ZAG32gMAhN1RttqLeSU+sl83qiz47qT9JITML/amn8aYSYRUjoSGLs+IZHYSz4o3kKrYKUbYnelkJVuYahTojPjZ4mvnzPwqTFGN3k4fhvI8FKMK/uEJZVtfhLfrYmxpTtDoTiIARYaVUwKcUd5CW7SCla706nL0+kuwmLwUOTtp7MqcSDmD7Zyz/UFmtr1z1N9DqpXtpUtpz6nu99hWUwc6oaMmWMUi7xw2OrbBIB3L7FYfIp4kbHAhyTIvxeF6gxistMmAXFDYzWy7n+c6XHx1Yguz7OO7QCikMgBk0YJasZDYrlfRAt3I1vGrCT+eiGiQeP0a4vvWICJ9BJ9dhX76+ZhXfBu1dM54mzcmZMU7Q/xj0+Hww7rgLgBy4gW8VruHqcB2vZF33t2PPzC4ePeG42zrDLC5w89+78H3C/LtUJYvKHcJLp+YqrT3UmsNwd5Qv2OZrLF+X/OEnZTkyxQ7O2jsquDIXZnpUtq9kyvfvB1jIkSLczJby86gyNdAnr+NEm89ixpfodlZw+byZWjy8b9++80tJKQk0wKTWOidQ4/kxm/pO+57JUlgsUeIdwYRpZWcbkjwelRllwbTRtBhTpZg1eRGrt4wi5/vmcgDC7anP1gGSIVNQBIt6A6Id7xpPYbp54+rXeNB0ttCZM2fEZE+UE3I+dVIskJsyzPEtjyD5fzbMS2/eQxKLo8vWfEeBXaGUyl404wV5O1PtTzrybf3+2EnNEGjJ8xOd5Bd3UE6AynBlYDqXBN2Z5DSPIHxUBKFYHHebqJJHRt6q5mapp1JTUeX10Vxbic5Fh/e4MiaIU90b+ML636MkozzzLz/zcaKFSBJLGh8hebcqewpnMf8ptcp9+xGn4iwvvLcfgW81dROVI4y0z+FAk8R5oiF7pwuksrRAW2zNYSsk4h3hogXzeZcLSXeL8QkpplG9nP69DwfS3O91PY4+cBrY2HO+NUUOSzezagTFgGpuPcnTbwTXXuIvHMfJGLop1+AOnkZkmrEeMq1xHe/hv/x/0Pwxf+LFuzBctGPP9YCno15Z5iYlqAu2oxL56BAseHs9RMyGQibj1748kbirGv28T8b27j9tXr+tL6Ftxo99ITiTHVZuGx6AT88u4qvLS6nuvhI4YYKs5sio5ct3olEtZHt1mz3pOLwxc6OEY1jirq58v2fIWsJHl18CxsnnHNMSdag0cnaSRfTaaug0N/EosaXkUT/TRm6Db2sc24krA9jDduo6JiI05eHfET1v1xTOwD+XiOoKkv0SXIkwctxiUQGQqE3Vac61P+mfryLVuUiMAPN6MoXAHzi4t5aoJvIu38DLYFxybXop5+LpKbuK0mS0E85h5z/fBWlYArh2t8RfvsP42zx6JL1vDNMXbSZuEgy21RJjjeALqnRkWcnqQnqugJ82Oyhzh2kPXA4nJFnVlmUb2eqy0J1rglVGfiZujgvlcmyrqdmxPZ6gw7CMQMuRzd1rUk0MfxYg6QlWLz715jjAf698D+pK17c73s1Wcf6ynNZ3PAShX1NTGt7jx2lS/t9f1iJ0OZqxh504OzLI9efR07AScDch9/sJ8/cCkBPKJU9o5PgXFXwaEzmvQScPsJU7cXOPk47EbxvSUJIZUhiH7LJhuKaRKJpA0LTkOSPvw8mkjEi790P8TCGhVehK5t73PcpOaU4bnwez69OJ/ivH6BWLESdeMoYWzs2fPyv+hizNdwIwCzTRPK7vAA8FdS44416flm7jzcbPLhDcabkm7l4qotVZ0zk+2dWcsn0Aqa6LIMKt4RgUe4eQgk923yZWGSU6PIWoFOS5Nl60xphassT5Pl3s6XsDDZVnzvo+zVZxwcTP4XfkMMk92ZKPbsHM5E+q4+mogZ6HG6SchJ7MIdSdzl2Vz5Cg3DfMiSfA+I6LtClXO4XRph1cpCD3vevx9n7FlIFEolUvnfFIkSkj2RX3bjaNFbEtj6P5m1FV7l0UDFW7EXYr74fhEbfA9eiRY6/XnKyk/W8M0hCJNkR3o9TsdLVpWJub6VHwIMdYSwGHWdV51GdY6A614x+EJHuj2prO3mGAGvdU0mIzFy+Dm8BEwqaKXR24e5zDetYa7iVmtZnCenz+NecGwftXnOQhGLg/crzOHP3U8xtepOAwYnPPPC5hSzw2jx4rR5MUTM5vgQGl4dYby45vjLwpTIyZigJ/qmL0qqLETPFUNU4qAnQxVP/qAnQJUBJIA2hIcUiZx+n53p4u8fJeo+Npa7+F4hHEyFNBEASDahVS4lueIT4vnfQFU0bF3vGimRvE/G9byNZCzDMvXRIx+gnnYl5xXcIrf45oZd/gvXin46ylWPPkO7+zZs384tf/IIHHniA/fv3873vfQ9Jkpg8eTK333478ifgZ9tQ2BttIyLiyL3F7Gppx6kXvGEwce3MUqbkW8ixm4aUbTIQi/JS9VLe7x15yOQgwYiFQMRMnq0HRU6Q1Ib4UBCCOfv+hiISbKn8ClHVPFhW39HnNTr5cMIKFje8yKKGl6id8jliuiHkdksQNoYoDTyKrBbh8Wl05LaRb0wgRcwoITMToyYmRS0wSIafUA4IuS5+4N+p/w6ZBZKaQDHEUUxRvlXVzJpeJ7/ZV8FS165hzDJzCKkSAEk0oladBkC8YS2mpdePiz1jgdCSRD98FBAY5l+BpAw9DmZe8R2im54gvOZPGBZ+4WOXQjio6t53333cdtttRKOp/oB333033/rWt3j44YcRQvDaa6+NupEnA5FEkmdaUw11Qz25XGVPfbS500qYXmBFkUf+E15GY1HuHvxxI7v6ykY83mEkOr0FKLLA5Rh6X8uS3nUU+rbSkTOPttz+49wD0emYyK6ixZjjARY2vIIkhrY9Uo304rSnwjy9wXyC5gDJyn0kpm1DmrmVnrnr+VTVRv6rcivU7ISqPVDeCMWt4OoEZw/YfKCPgSZDyAI+J/S4oLOEYEMpgd0T8G2dRO/7M5i4tYoXjQHO95nYsbOUmNeK0MY2k+FIz1vJn4RkKyC+752P9SaVRMO7aN4WdBMWoysYXq11STVi/ew9IDQCT337Y/c5DepiVVRU8Nvf/pZbbrkFgO3bt7N4cepGPfPMM1m7di2f+tSnBhzD6TSj0w2+EOZy2YZi8wnHtvY+fvVuEz3l7chJPatOmcfSD3eRUHUkyvKxHfHLxGYd/nZrQyLlbUyx7seuhnm7ZzY6g/HQxVPV/r+UijI0genuK6S6qJEiZxfuvv5biKlq6jpKWoKZTQ+jSQo7Jl+PqtdhMKbsPPjvgwx27RtKF+GMdFPk3ces9nfZUbHsqNcNhmO9raJ9b6A/NdXAOBx0YjCoh86jJGRKFZhhTPBKPMkNtgiTB/mmCwEkFUjoIKHDoTOhxXQkIyqJsJ5k2EBuwMhKJQltefja8pBkDUOuH4OrD2N+H4r+6AeP8YhLbRzGdXf2ex/Y6OsoQhH7yXHZiE49E//6J8ihG70rvYqMA5GJ+9GTxvf9IFo8gnvny0g6A7mnfA7F3P9Y/X5mrkvQPvws/g1PY2x6DfvCzx798kmqOTAE8T733HNpaWk59P9CiEO5kxaLBb9/8NV3j2fwGKHLZcPtPvl68726t4cbnt1OSN8LujiLzFOpDoXRR+K0FefhDx3OKrFZjWmFTaKRVF/GeUU7AXina9KhvwHE4/17q8nk0LyNYNKIL2jDafEgS1HiieOnIB48V2XHaqzhdvYVrsSrFkI8STQSx2BUj7INIJEY3JveUL6cMyJeJnZtpU910Oiadei1aPTo8Sy+BmzuLegmLiWZlOhxGxEifug8umQq/fASFdbEFZ6ICG4ZSs63pIEaBxUUSxQFOPKxYRfwzQ9mEPTZ+H5xJ7lBI5FuB5FuBz5Jw+DyYipxo7OHUqH/I6/RMK57YoD7QKdNQBbr6HY3IUoXw/on6PzgFYyLrh7y+EMhU/djeARhwtiOl9EifajTziOkGWCAsQb8zFbcBhufo/3R7xEpOwtJScneyaA5Az1chh2sPjK+HQwGsdvt6Vn1MeDJ7Z18+altCAGTqlJfgrnmKgo7Uz/nOwudGTuXIiWZn1uPJ2Zhrz9zBa6OpNNbgCRBgcM9sC3JKFObHychG9hZ/rmMnDupqLxfeT4RnYnZrWso7z1+XFnS4hQ3vgB6HYYCI31eG6KfJg6n6yBPEvw7JhHJwC9mSYIvTW5itabj9rCZ3MU7cS7agaWqFcUUJdqVi3fTFLwfTiHaYx+slEtaHL1oeSDuvW9t5k80zohogNju15AMVvQ1Z49oLF3BZIyLv0SyazeRDx7KkIXjz7DFe/r06axbtw6A2tpaFi5cmHGjTgae2tHJ15/fiVmVefCKGbTQgkOxMFlXiKvLS8Sg4stJv7XXR5npaMKii7K+dzIiA9vYj0eXz4UQUJQzcJnYiZ2rMcU91BdfQFSfuQdUyGDn3eqLiCkG5ja9SU3HB3DEJh45GWVC3UMYI24iMxciyeDt7d95UCW4SC/wI/F6htIGF+b4OTPfy5peJ+s9dnTmKObyLpwLd+GYvQd9vodEwETftmp61k0h3jf06ohDQZNT4RFJ7EMpmo5kyiG2b01Gz3EiENv9BiSiqFNXHtqIMxLMn/oe6IyEXv05ItF/yYiTiWGL96pVq/jtb3/LlVdeSTwe59xzB8/r/bjxyt5u/vfzO7EaFJ78wlw8ug4iIsZ88yTyPamNOV0FziGnzQ2FRbmpXOj1PaPXIDeWMOAJ5OCw9GFUj9+gWNZi1LQ+S0I2sKfkoozb4Dfl8W71RYRVC1M71nPG7qfIb1tDftvbVG2/D2tfAz7nNLRpqaIAXs/AzS0uObAe8Ewsc9fi25NT5Q9+dUTetySB3hnAMaMR54JdqM4+Yt0O3LUz8W2bwBDXYQdFSKnrL2u7kWQFteo0tJ5Gkj0NmTnBCYCIBYnXv41ktKNWnZqRMRVHMaZTv4LmbSbywcMZGXO8GZJ4l5WV8dhjjwFQWVnJgw8+yKOPPsrdd9+Nooyg+s9JyPauAF99dgd6ReaRy2czp8jGYy2pIlELzJMo6jgQMinKnEdqkGPMc+6jM+KgIViYsXGPR6c31cmmMOf4oZOJna8f8LrPI6aOzmKPz+zirSlX0JpTjTPspqj5VYqaV2MId9PrWkDz5Mtx5KXKwA7keQOUK7BIEWxISuzNkIAucgY4M8/D2t4c3vcce36dNULO7HpyF9ehs0YINhbi2ZJLPJCBvHwpF0E+ktgDQqCvWQ5ArO71kY99ghDb81bK665ZjqRkrlm36axvgc5A6LV7EMn44Aec4GQTtIeBOxjjS09sJRTX+N2F01hc5sAdDfK6ey+lah4Vmo28Hh9+q4mg1Zyx885xNmBQEge2w49ueprb50LTJAqPEzqRkglqWp8hIevZW5x5r/tI4joDGyau5OUZX6a5+nM0V1/Grvnfpa3qMyDJOHP7CAWNxKKD39xfMKRCL49EM/fZfXMIuy6NBT5cZ2zDUtlBMqLDu81JsMU84li4kCYj4QW60U9ZAUBs98cjZVfEQsT3vIVksB6K6WcKxVGMacm1aJ79RD54JKNjjwdZ8R4i0YTGdU9vp7kvyqozJnLR1NRuwGfatpEQGgvMkyns6EUS0F6Sl9Fzn3Kglsn7GahlMhgJTUePPxerKYjFGDjqNXvDJsyxHhoKVxLVZ7YXZ39EVTO+/Fn48meTVC0A2BwBVH2C3u6hVUE8XQdlsuDfcQlP/3WwhsXCHP+A3vdBJEXgmNGEY7oHWdUINVvp221HJNN/kGhy6nsgid0o+VXIeZXE97z1sfAm43trIRFJed0j6EXaH6azbwJFT+i1XyASJ/fnlRXvIfJfr+5hXYuPS6a5uHnp4Zoij7dsQZEk5pmqKG7vISlLqXh3hjAoAWbYm9gfdNERSa/pwnA5HDo5wvvWkuTufJukpLKn9DNjYkd/5OanasYMVbwVCT6vF8SQeCqDse+heN8H0TviOGf3otpjxHqNeLY5SUbSu/0Ox71Tu231U1Ygon7i+9enNd6JgohHiO15E/QW1OrTR+UciqME4ylfRuttxPfuyZ15khXvIfDszi4e2NzOjAILv75g6qE8983eNjb52ljumkS5X8McjuJ25ZBQM1cypsr+ITpZy0gFwaHS3ZdHIqkciHunfuPbG7egD3ppKDyHSAYzTNJhuOIN8Bm9wILgsZhEPEMpfEP1vg8iqwLHNC/GwhDJkA7P1lzi/uF/V4RUjUBGEql0Sv2UcwCI160e9lgnEvG9tRAPo685G0k3nEILw8O8/GZQ9LifuwuRTIzaeUabrHgPQpM3zLdfqsOsytx38QzM6uEF2r82vg/AdRMXUdqaWuBrL8lsW6pqx3o0MTYhk4NoQqG7Lw+TPoLd3AdakrwdtWiywp7Si8fMjuMhSQJnno9gwEQ0MvQb3CLBJXpBt5B4NUNpgwDfGmbFQUkGW1UAa2UfIiHh3eEk5hlmeEAyIaRqJLEXRAS1+gxQVGI7Xxmu+ScMKa/7DVDNqfmMIkpOKcbF1xDvqie68bFRPddokhXvAUhoGl97fid90SQ/Pmcyk/IOL0J2R4M807aNKksuZxhKyXenFip9DkvGzm9Veygy11PnL8Mbz1zO+FDoOCLrxL5/K/pAL76q+YQNmY3nDxd7jh9VTQ7L6z7IlQaBguB/ohJahrzvBTl+lh3wvt/pHfo6gKkogn2KDwT46hxE3MPzNIU040B52Dpkow110jISbVtO2pTBeP3bEAuhrzkrI3ndg5HyvlVCq//7pPW+s+I9APes3c/61j4unuriqtlHd35/sOlDolqS6ycuJrh5PxLQUubKaG53Tc67AKzrHjuv+yAev5NYQkeho4u8HW8hZIXeaaPrEQ0FV2GqrVx35/Dj/6UynK8K6jWJ1zJ4v35n0n4A7t49cVgPBUNujJzpXiRZ4N/rINw+9A09mjwTAFnblhprduoXUXTr80M34ARBxCPEdr+e8ronnTkm51Sc5eSc8RWS3fVENz0xJufMNFnx7of3mr386p39lNsN/OK8mqN64SU0jf/Z/wEWRc+VBTMJbGsipuroyuB2eAmNmpx3iCWNrO8dvY05/SGQ6fIWoFfj2IrAWzWfhGVsMkwGIr+wF02T6EnD8wb4Xwe87/sicsa879mOAJ8p6mJLn41/dQwvbKba4+TM8CCrSQKNNoItQ0sxFdK0A3HvA+I949MgyUS3Pjts+8ebo73uzO5IHYj8C78Psi7lfWsZ2gQwhmTF+zh4wnG+9nyqCNQfPjMdx0eq5L3YsYu2SB9Xls2BHR2IaILWMhcig3XNy6zbsape6n0LR9ynMl06elNCZF5UekJ43XpDDEdOAE+Pg2QivUXhcmV0vO/vTtqPKmn8fO9EosMsFauzJMmZ4UXWJwk1W/Gu2TV4+VLJgpCqDmzWiSBb81GrTiexfz1Jb+sIZjK2pLzuN0A1jZnXfRC9ayLGRVeTdO8huunJMT13JsiK90cQQnDzi3W09kX57ukTOaXMcczrv9/3DgDXly+k78N9SHodraWZXaic6kwVG9rlHZ2UqSGxs5FYmx/T9HyUnNGPQw5GfmFq96o7jZDJkYyG911hjvKl8naaw0YebO6/pG5/KKYkOTM9KMYEfevr8by5Y1ABF9KcA3Hv1A5fw+xUCmd063PDn8A4kfK6g+gnnz2mXvdBzMu/fcD7/vlJ531nxfsjPLC5nRd2d3NquYNvnXpsj8g3u/fxobeVC4qmUtQQRAvFsM2dkNH0QLPOS7l1G+5wBT2RceqbqCXJ215LYF0bkixRkts+PnYcQWFxKqPH3TGyRdMjve9M9bkE+EZVM3Zdgnv3leOLD79shGLQyJnhRc2zEdjUSO+rWxADPF00OVUUTtZS+d36Wandp9EN/0xvAmPMUV735LH1ug+i5E3EuPALJLt2E9389LjYkC5Z8T6Cuu4gP1i9lxyjjj9cNO2Y7jdCCH65pxaAmyeehu/9eiRVwTavMqN21OS8iyxp1Hkyuz14ONgbt6AP9NLuLyGeVCjJbUciQ9sT00Cnxskv8NDntRIKjrz0wI1GgQHBbyMSgQx53059gq9XNuONq9yzN73m0LJeo+DyJegLHQS3t9Dz4kZE8vifu5BqENiQtQ9BCBR7EfqpK0m0bCTRtnUkUxkT4ntrx9XrPoh5xXdAVgi9+rOTKvMkK94HiCSS/MezOwgnNH55/hRK7ceGCV7r2su63iZWFtQwYU8ILRTFvqAKxZy5DQUSSabkrCWuGajvG59yu1IiRv7W19EUHT01Z9DRW4RBjZHv6BkXewAKinqQZUFH2/AaJPdHsQxfMQh6hMTfIpnzvq+b0Ea1OcQ/movZ2Jte4S7FpKfgslMwlDgJ7W6n+18bEMdraCEpaPJ8JHqQRCpF0HjKlwCIvP+PtOcwFmgRP7G61andlJOXDX7AKKLkVWJc9EWSXXVE1j84rrYMh6x4H+CO1+vZ4Q7ypbnFXDjlWIFICo0f7VqNBNxacQZ9G/Yhmw3YFmS2/VSlfSM2fS97vIuJa+PjjTjr3kMN9+GpOZWE2UFrb6r5Q1ne+C2EFZWmtup3Zki8Aa4xCEokwcMxicYMhTsNsuDH0+sRSNzy4RQSafa5lA0qrksXY6zIJ7yvi65n1qPFjvUKhbQo9X4tlVaqn3Yukq2AyIZHEfGRNbseTeI7X4ZEFP3088Ykr3swzCv/C1QzoZd/jIgGBj/gBCAr3qQ64tz/YRvTXBbuXDHpuO95pHkTO/1dXF42B9dGNyKexHHqZGR95mLdIJiVtxohJLb1rMjguENHiQTI3bmGhMFC7/TUpmc/wAAAF2lJREFUYmkoaqbX78Rp9eEapMvOaGA0Rsgv8OD12AgFM/dAM0pwk0kjgcR/R+SMdb45NdfH5SWdbPfZuL++NO1xZFWH6+KFmKoLiTb30PXU+2gfaTGnyQsRGJG1WhACSVExLrgKEfaesGmDmr+T+L61SFZXxisHpoviKMZ81jfQ/J2E3rx3vM0ZEp948d7lDvLtl+qw6hXu/+zR298P4omFuWvnasyKyvcs8wjtakNf6MA6M7OLiSWWOlymJhr9c+mLF2R07KHi2vQKSiJKz8yz0I7wiPa7ywFYNGnDmNtUOqEDSYKWxuFncQzG2To4VSd4LyHxRAaLVv1XTQNOfYyfb6+kJZR+WE3SKeR/ej7mqSXE2j10PvkeyfARnWAkI5p8ChKdSKIOANOpXwFJJvTGb064julCCKIbnwChYZj1GST5xOkHYD7rm8i2QkJv/Pqk2Kn6iRbvQDTBdU9vIxTX+M0FU6jOPf5C2F27VtMbD3NL5ZnIa/aBBLkrZiHJmaytLVjgSu2O29Q9Pt2JTJ0NOBo3E3EW460+Ot7uCeTgC9qoLm4gzzZ2sW9JEpRWdJBIKHS0Zv6BJklwu0nDIQl+FZFoyFD4JFef4Aez6gklddz8wdQRpSRKikzeuXOxzCwn3tVH12PvkjiiGa8mpzI1ZO0tIBXDNcy9jGT7NmI7Xx7RPDJNomUjya7dKEXTUUpmDX7AGCIZrFg+czckIgSe/s4J9+D7KJ9Y8daE4Bsv7GJvb5gbF5Vx0dTjC8Mb7noeaPqQ6bZCLm+2kfCGsM2vRF+Y2d2GZdbtFJobaOybMy7pgVIyQeGGFxBIdC68CI7ZcCTR2JXKoDh16roxs6uyNIDJHKW9uYBkcnS8NJcMt5k0okjcFpIzVnXwygkdfKq4mzXuXO5rHlmjbkmWyD1nFrZ5lcR7AykB94UAENJcBLnI2psgUn8zL78ZIFW3+gQRIRELEdv8NMgqhrmXHbVr+UTBMPcy1MlnE9v1KrEtz4y3OQPyiRRvIQQ/fG0vL+zuZmm5gx+cdfxFx55YiJs2P4dOkvljzpmEt7WguuzkLJ2SUXskkiwueBohJDa4L8zo2EMlf8trGPrceCcvIpJ3/Dhtjz+Xlp4SKgv3Uzomi5eC+dN6EAIa68tG9UzLVfiMqrFLk7gnImVE8CQJfrlgFy5DlP9uyOUD38iykiRJImfZNOynTCLhC9HxyFoiLT0gKSSV85AII2updmi64hnop59PYv/7xE+QLjvRjY8jIn3op61EtmZ2U1umkCQJ66X3gM6I/8mbSPZ1jLdJ/fKJFO8/vt/CXz5oZWq+mf932UxU5diPQROCb2x6hrZIH3cVnYF1TTOSTib//LlIusx6gNNza8k1trPLexqeaPoLXOli7txHbt07xGx5uOd8aoB3SryzcwkAZ85YiyyN7o608qIQLmeUjjZXRnK7B+M7JsEkWfB4TOZvwcx4q3mGOL9fvIOkgBu3F9AZHdl3R5IkcpZOwbliJlo0TteT6/BvbiQprUSgoiRf4GC3Y8t5t4EkE3hm1bh3TI83bSDR/CFy7kTUKeOzGD9UdK5JWC/8ESLUi//Rr58wv1w+yidOvJ/e0ckdb9RTbNPzyBWzj6lbcpAf73qN1V17uNAxiXM3aYhYgtyVc1DzMtt016LrZYHreaJJExu6Rrcv5PFQwn6K3nsKIcm0L7kMMUjrqU5vIdubppJv72Fu1ZZRs0uSBKfO7kIIaNg9NmEkiwS/sWjkS4K7+gQvhTNz055e4OX71b24Yzqu31pIMDHycIFt9gQKLluCbFDxvL6d3tX7SbIMifZU+ATQlczCeOr1JN17CL/9xxGfM120vk6iHz4Gih7j4i+eUIuU/WE87auoU1YQr1tN+ATNPvlEifczO7v4+vM7sRkUHrl89nE34gD8vXE9v61fy2xDPnc2lJHsC2NfMhnLlJIMWyQ4o+RB9EqEdZ2XEkmOTjf2/pCScUrffgQ17Mc955x+wyUfZe3OUwlFTZxSs55ca++o2DatykdeToxdjXb8fWNXy7xIhl9bNEwS/B+PxmuRzAj4DWV9XF7kZ2vAwI3bC4hmYLOqsSyXoqtORy2wE9zeQvtTFQihoiQfBhEFwHLerUjmXIKv/pSEe+/ITzpMRCxE+J2/QiKCYcGVyNbM5emPJpIkYb/yT8j2YoL//iHRE2zhFz5B4v3Q5nZufG4HZn1KuKcXHF8QHm7ayKpt/2aSbONv7dPRegJY50zAsSTzZVnn5L1MmXUXTf4Z7PYuzfj4A6IlKVr3DKbeVnwT5+CZMvTzR+NG3tiyDJ2S5LwFr6CTM9vI1WqOs2SWm1hcYt3Wsb/ZpynwZ6eMJMENvRpPhkautJIEP63pZnluiFqPmf/YVkhkBE2ID6Kzmyi6cim2BVVE2xW8G6cj0YMcfxwA2ZyL9bP/DbEgfQ98GREPj/icQ0XEw0TevR8R6EKtWYFaMT47htNFthdi/8ojoBjwP3Q98ZZN423SUXzsxTupCe56cx83vViHw6Dj8SvnsLjs2EwRIQT37l3Dt7Y8x9xkDg+3zkLqCWGdVYHz7BkZXxkvt25lYcHzBOI51LZ9CRjDlXdNo3jdM9ibthHKr6Bz0UXDbiKxr7OSzQ0zybN5WDnvtYzVPZEkwfLF7Rj0Gms3FRCOZHIT1NA50yjxUJ6MRYKbvYLf+jWSI4x96mT444wuluWGeKPXzJe3FOKJj/wWlHQKzjOnUfC5JfjqlhD3W1G0J4k2r0MIgXHe5RiXXEeybSuBp749JjFcEY/g+5+rSLr3oJTMQj9rfBbiR4paPh/b5/+EiPrx/fkzxFs3j7dJh/hYi3dnIMoVj27m3veaqHSaePFL85lfcmzKViAR42sbn+Kuna/x5VAZ9zXVIAdiOE6twbliZsaFu9hcx4qyv5IUOlY3f3VMwyVSPErJO49h37+FcF45rcuuRijHj/sPxpodS2nuLqG6uIGzZ9dmQMAFZ8zvpLQgzL4WK7saxrf5w0K9xBP5MkUy/MIvuKpHozUxMuEzKoL7ZnZyfn6Q93wmLvmwhO3+zNRrN5bnUXTlOfj3X4EkC4ym39Lz79eJdfmwXvxTdKVziax/kOCzq0ZVwLVgD777LiVe9xpK0XSMp1yLJJ28UmOceym2K/6AiPjw/emiVIf7EwDljjvuuGO0TxIKDb7SbbEYhvS+oaAJwT+3dvClJ7exuyfEeZPyeOjyWZQcJ8b9etdern7/Ydo7O7m3ZzoXducgqwr5583FNmfCkIV7c4d/0PcY9DrKjO+youyvSMCrzTfSGR48HNMS6x7w9aJg/6JZcMR2dr3PTflbD2J2NxIsqKR12VVH7aIcCm7f4TCGQGZfRyUTXM1MLGyi2Ohhe6CKj5bgKPHWD2FkwdI5bmZN9uL2GHhpbRmalrrhnbqhxbztOalroEum9zA6ErM+taiWr0hcZpJoTAreisLjIYFBgqk6gW6Q74ZiOHxdtPDhzj86CS5wBUkKiVd6LDzeYUOVBXNtURQJ1LJ5adst6RT0xVNIBOPoLZtR7fV0PisTaQljXvoFkq21xHe+hObvRF+zHEk+/i+bdO/HeNMGfPd9lmTbFvSzLsYw5xKkNJ2D4ZDOZzacOepKZ6PkVRLd8izRDY8gqWZ0FQtH/aFksfSfXvqxEm8hBG809PLVZ3fw/za1o8gSdy6fxJ0rqjEdse1dCMHankZu2fpvnti2jq905HOru5LCqA7jhHwKLlmMoWR4Lc0GE2+9HOLUwn8yP/9ZEpqe1S1fpTU4fUhjj1S8pUSMvB1vU/zek6gRP57Ji2k/dfDMkuNxpHgDJDUdu9smUZLbztS8JmbZ62kIFuA7omHyYOJtNCQ4Z0kHUyv76PXpeaG2nGjs8PUaT/EGMMkSFxolihWojcLLEcHTYYFZgiod6PsR8f7EG1JRqtOcEebaorzVa+aVHgv/dlso0iepqRl5mE7SzwY86M3bsNU04d9pxb85jMg7DxQbiT3PEd/5LGrVaciWY+ujD/d+1MJegi/dReDx/0SEPZjPuQXrpb8k2T42pWlHW7wBdCUz0U9eRnTHi8S2PU9s9+voyuai2IsGPzhNBhJvSYxBAMztHtwrdblsQ3rfcccPxnh2ZxcPbG5npzsIwKXTC7htWRVljsOeZWPQwyuddbxcv5Xizjgr/bnMjaRCFmquFcdpUzBVF6Z14/xjU9tx/ipw6LuY7HiPabm1GJQw3eEy3mz9Ct7Y0Ot0vBfYOeDrc7qOX4PYFO1hYewxnLvXoYsGiZtsdC24kEDZ1CGf+6Nsbzr+A0eWk0xb8C7LC7eiCXi/p4bVnXNpDBawoPHV4x5j0CeZVull7lQPJkOS1i4TL79TepRwA1QZhnZzlE1IXQNjdOTFq/Itx3+weTTBn4Lwd79GlFR64YUmiU8bJRbrU0J/ENV2eCE33jOx33N54jK/aHDyUJsNgcTUfDNfnlfCZ6YW4OrHjiEhBEryERTtMYSQCLXNoWdtFTF3LiAhxfaiRLdhrK7AtvzzqMWHfwUO9X5M9jYRef8fhNf+BRH2IudNxHb579AfaGkWfu/v6ds/DExLvjLsY9LVHM3vJvDsLYdap+lnXIDptK+iTlqW8TRIl6v/kGpa4q1pGnfccQd1dXXo9XruuusuJkzov/h8JsU7ntTY742wpyfEey1eahs9bO9KCbYiwcXTCrh6Xh5Oh6ArEqC1vYO+jh6iPX7sQcH0iIWyROppJgDThHyssyekLdoH+cemNiSSnFr0OGadD1WOkGPoxKJ6AQgnrNT5L2BD+xkIhneBBxXvzjiKFsEU82ALt+IM1JPv20aefzcSgqRqwFOzBM+UpWj6kZXf7E+8ATYX6JiZ185lxW9Qbj7Q5T1qo6ddwhdQicQUFElgMSVwOaMU5YdQFIjGZD7YkceW3U6Ot3B7Iok3gKpTaI4m+GdI8HhI0HJgr5IemK+HaarEFB1U25O4FMjXgc5TgYKECv1+z3YHVX6/P4d/ddtIHCiGMrvQytlVuSwqtTMpz8wEh+mYJiGDIWlb0SX+hERqV2wynkfXW1cQ3B0HcWAskUCWPejsevRFBeRNqSakt6OzGJBN+tTGNJFEC3SQaN9JoulD4vWvk2hMlUqQzLmYz/omptO+imSwHDr3x1G8DxLb/TrBl39CYv/7AMj2ItTJZ6NWnYauaCpKbiWS2YmkpL/onnHxfuWVV3j99df56U9/yqZNm/jzn//MH//Y/yaAdMW7NxznttV7afdH6Ysm8EUStPZFSB5hsUGRWFzm4FPVeVw6o5Dnuzbx/e0vAlAVNfJY08yjxoyrEvoSJznVxZiqCtHZMlNi9B+b2jDIQa6Y/EMMSiodKxh30BWuZL9/Do19czFZHPgDw6+xPJB45wbauPHN72FIHP3ZCSR6bDUkpkzGXzETTZ+ZeQ4m3gajSjQSY4ajiaX5u5jlaMSsO/5PU7fHwN4mOzv2OYgN0DbsRBTv+IHmCJoQvBeDt6KCt6OC7YNkTRbKCq/nFGMdoFm1f9bVPLm9k9X1Paxr8RE74guvVySKbQZyjDrsBh2nlDm45YwhdHISSSTxAbK2Bkm0ktCtQovlEml2E9q4jkirB01zgjR0T1/1/hVTYQTDwqswzvkskuHY8NbHWbwhFYJNNK4jsuERolueRYSO3fdgOutbWC+8M63xBxLvtB4JGzZs4IwzUt3E586dy7Zt29IybDDa+qI8t6uLWFJgVmUcRh0LSu1UO81U5ZqYW2xjcanjqHj2nJwSLi2ZSY5qokhvocWho8jmoLCwAEOuDcVmHLWCOFHNwkO7f4oqxUgIlaQY/a7vUZ0ZjzVVgzyqOvCbSugzV9Bjn0pcZ2FGxY5Rt+FYJLb7JrDdNwEJwdndL2C3xNGrSYSQCEZ0ePr0Awr2yYIsSSw1wFKDxPeBoCbYk4BdcUG7TqM7Ad1JiERNJIECWcE4yPevwKLna4vL+dricgKxBO82+djeFWB3T4g9PUE6AzH29IQIxTVaDjTKHvQ7LSkI6RSS8imHbTeAeVIJ5kmfBSDp7yayfQ3RpgboCxALxNASOoRkAXSgGJB0RiS9GdlixfG532EsH/tyDicSkiShVi5BrVyC9dJfkezYQbzpA5JddSQ9LYhQL4qrenTOnY7nfeutt7Jy5UqWLUu1LzrrrLNYvXo1Ot345ORmyZIlyyeNtPJcrFYrwWDw0P9rmpYV7ixZsmQZQ9IS7/nz51Nbm+qivmnTJmpqajJqVJYsWbJkGZgRZZvs3r0bIQQ/+clPqK4enbhOlixZsmQ5ljHJ886SJUuWLJnl5C04kCVLliyfYLLinSVLliwnIVnxzpIlS5aTkFEXb03T+OEPf8iVV17JNddcw/79+496/bHHHuPSSy/liiuu4I033jjqtfXr1x/KJT+RSWeOoVCIW265hauuuorLL7+cLVtGr6VYpkhnnm1tbXzxi1/k6quv5utf/zrh8Ng1A0iHweYI0Nvby8qVK4lGU91qIpEI3/jGN7jqqqu44YYb6O0dne5CmSKdOfr9fm688Ua++MUvcuWVV7Jx48axNntYpDPHg9TX17NgwYJj/n7CIUaZl19+WaxatUoIIcTGjRvFjTfeeOi1rq4uceGFF4poNCr6+voO/bcQQrS1tYkbb7xRLF26dLRNHDHpzPHee+8Vf/nLX4QQQuzcuVM8/fTT42L7cEhnnj/+8Y/Fgw8+KIQQ4pe//KX4xz/+MS62D5WB5iiEELW1teLiiy8W8+bNE5FIRAghxP333y/uvfdeIYQQ//rXv8SPfvSjsTV6mKQzx9/85jfi73//uxBCiPr6enHJJZeMqc3DJZ05CiGE3+8XN9xwg1iyZMlRfz8RGXXPe6Ct9Fu2bGHevHno9XpsNhsVFRXs2rWLaDTK7bffzhhUq80I6cxxzZo1qKrK9ddfzx/+8IdDx5/IpDPPadOm0dfXB0AgEDjhN3MNVvpBlmX+/ve/k5OTc9xjzjzzTN59992xMzgN0pnjtddey+c//3kAkskkBkP/pUpPBNKZoxCCH/zgB9x8882YTJmpBTSajLp4BwIBrNbDBWsURSGRSBx6zWY7XHjFYrEQCAS48847ue666ygsLBxt8zJCOnP0eDz09fXxt7/9jeXLl/Ozn/1szO0eLunMs6ioiIceeohPf/rT1NbWct5554253cNhoDkCnHbaaTidzmOOOTh3i8WC3z+yYkejTTpztNvtGI1G3G433/3ud7n55pvHzN50SGeOv/vd71i2bBlTp6ZfMnksGXXxHmgr/UdfCwaDqKrKBx98wO9//3uuueYafD4fN91002ibOSKGO0ebzUZOTg7Lly8H4Oyzzx614l6ZJJ15/vznP+fuu+/mhRde4NZbb2XVqlVjbvdwSKf0w5HHBINB7PZjW+2dSKRb3qKuro5rr72Wm266icWLF4+miSMmnTk+99xzPPnkk1xzzTW43W6uu+660TZzRIy6eA+0lX727Nls2LCBaDSK3++nvr6e2bNn8/LLL/PAAw/wwAMP4HA4+NWvfjXaZo6I4c6xpqaGBQsW8NZbbwGphdlJkyaNi+3DIZ152u32Q15pQUHBoRDKiUo6pR/mz59/6FrW1tayYMGCUbVxpKQzx7179/LNb36Te+6556RIIkhnjq+++uoh3XG5XNx///2jbeaIGPUdlsfbSl9bW0tFRQUrVqzgscce49FHH0UIwX/8x39w7rnnHnX8aaedxtq1a0fTxBGTzhy9Xi+33XYbbrcbnU7Hz372M8rKysZ7KgOSzjz37t3LnXfeiaZpCCG49dZbmT59aO3fxoPB5niQ5cuX8+KLL2IwGAiHw6xatQq3242qqtxzzz24XK4BzjK+pDPHr33ta9TV1VFamioBa7VaB6zhP96kM8cj6e/vJxLZ7fFZsmTJchKS3aSTJUuWLCchWfHOkiVLlpOQrHhnyZIly0lIVryzZMmS5SQkK95ZsmTJchKSFe8sWbJkOQnJineWLFmynIT8f46LeSfJuV72AAAAAElFTkSuQmCC\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "sns.distplot(tillamook, label='Tillamook')\n", "sns.distplot(newport, label='Newport')\n", @@ -2623,20 +1252,9 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "F_onewayResult(statistic=7.1210194716424473, pvalue=0.00028122423145345439)" - ] - }, - "execution_count": 65, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "scipy.stats.f_oneway(tillamook, newport, petersburg, magadan, tvarminne)" ] @@ -2650,7 +1268,7 @@ "Complete ANOVA results (see http://www.biostathandbook.com/onewayanova.html):\n", "\n", ". | sum of squares | d.f. | mean square | Fs | P\n", - "-----|-----|-----|-----|-----\n", + "-----|-----|-----|-----|-----|-----\n", "among groups | 0.00452| 4 | 0.001113 | 7.12 | 2.8e-4\n", "within groups | 0.00539 | 34 | 0.000159 | | \n", "total | 0.00991 | 38 | | |" @@ -2667,12 +1285,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "This last lesson is taken from the documentation for [Scikit-bio](http://scikit-bio.org/docs/latest/). The package `skbio.diversity` provides diversity measures for OTU tables. OTUs are \"operational taxonomic units\"; you can think of them as species as taxa." + "This last lesson is taken from the documentation for [Scikit-bio](http://scikit-bio.org/docs/latest/). The package `skbio.diversity` provides diversity measures for OTU tables. OTUs are \"operational taxonomic units\"; you can think of them as taxa or species." ] }, { "cell_type": "code", - "execution_count": 66, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -2694,7 +1312,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -2709,45 +1327,18 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[[23, 64, 14, 0, 0, 3, 1],\n", - " [0, 3, 35, 42, 0, 12, 1],\n", - " [0, 5, 5, 0, 40, 40, 0],\n", - " [44, 35, 9, 0, 1, 0, 0],\n", - " [0, 2, 8, 0, 35, 45, 1],\n", - " [0, 0, 25, 35, 0, 19, 0]]" - ] - }, - "execution_count": 68, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "data" ] }, { "cell_type": "code", - "execution_count": 69, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['A', 'B', 'C', 'D', 'E', 'F']" - ] - }, - "execution_count": 69, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "ids" ] @@ -2768,28 +1359,11 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": null, "metadata": { "scrolled": false }, - "outputs": [ - { - "data": { - "text/plain": [ - "A 5\n", - "B 5\n", - "C 4\n", - "D 4\n", - "E 5\n", - "F 3\n", - "dtype: int64" - ] - }, - "execution_count": 70, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "adiv_obs_otus = alpha_diversity('observed_otus', data, ids)\n", "adiv_obs_otus" @@ -2804,26 +1378,9 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "A 6.75\n", - "B 7.00\n", - "C 6.25\n", - "D 5.75\n", - "E 6.75\n", - "F 5.50\n", - "dtype: float64" - ] - }, - "execution_count": 71, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "tree = TreeNode.read(StringIO(\n", " '(((((OTU1:0.5,OTU2:0.5):0.5,OTU3:1.0):1.0):0.0,'\n", @@ -2850,26 +1407,9 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "6x6 distance matrix\n", - "IDs:\n", - "'A', 'B', 'C', 'D', 'E', 'F'\n", - "Data:\n", - "[[ 0. 0.78787879 0.86666667 0.30927835 0.85714286 0.81521739]\n", - " [ 0.78787879 0. 0.78142077 0.86813187 0.75 0.1627907 ]\n", - " [ 0.86666667 0.78142077 0. 0.87709497 0.09392265 0.71597633]\n", - " [ 0.30927835 0.86813187 0.87709497 0. 0.87777778 0.89285714]\n", - " [ 0.85714286 0.75 0.09392265 0.87777778 0. 0.68235294]\n", - " [ 0.81521739 0.1627907 0.71597633 0.89285714 0.68235294 0. ]]\n" - ] - } - ], + "outputs": [], "source": [ "bc_dm = beta_diversity(\"braycurtis\", data, ids)\n", "print(bc_dm)" @@ -2884,26 +1424,9 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "6x6 distance matrix\n", - "IDs:\n", - "'A', 'B', 'C', 'D', 'E', 'F'\n", - "Data:\n", - "[[ 0. 2.77549923 3.82857143 0.42512039 3.8547619 3.10937312]\n", - " [ 2.77549923 0. 2.26433692 2.98435423 2.24270353 0.46774194]\n", - " [ 3.82857143 2.26433692 0. 3.95224719 0.16025641 1.86111111]\n", - " [ 0.42512039 2.98435423 3.95224719 0. 3.98796148 3.30870431]\n", - " [ 3.8547619 2.24270353 0.16025641 3.98796148 0. 1.82967033]\n", - " [ 3.10937312 0.46774194 1.86111111 3.30870431 1.82967033 0. ]]\n" - ] - } - ], + "outputs": [], "source": [ "wu_dm = beta_diversity(\"weighted_unifrac\", data, ids, tree=tree, otu_ids=otu_ids)\n", "print(wu_dm)" @@ -2918,19 +1441,9 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.922404392093\n", - "0.003\n", - "True\n" - ] - } - ], + "outputs": [], "source": [ "r, p_value, n = mantel(wu_dm, bc_dm)\n", "print(r)\n", @@ -2948,34 +1461,9 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ordination results:\n", - "\tMethod: Principal Coordinate Analysis (PCoA)\n", - "\tEigvals: 6\n", - "\tProportion explained: 6\n", - "\tFeatures: N/A\n", - "\tSamples: 6x6\n", - "\tBiplot Scores: N/A\n", - "\tSample constraints: N/A\n", - "\tFeature IDs: N/A\n", - "\tSample IDs: 'A', 'B', 'C', 'D', 'E', 'F'\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.6/site-packages/skbio/stats/ordination/_principal_coordinate_analysis.py:111: RuntimeWarning: The result contains negative eigenvalues. Please compare their magnitude with the magnitude of some of the largest positive eigenvalues. If the negative ones are smaller, it's probably safe to ignore them, but if they are large in magnitude, the results won't be useful. See the Notes section for more details. The smallest eigenvalue is -0.011492611219229593 and the largest is 16.021722090908206.\n", - " RuntimeWarning\n" - ] - } - ], + "outputs": [], "source": [ "wu_pc = pcoa(wu_dm)\n", "print(wu_pc)" @@ -2990,84 +1478,9 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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\n", - "
" - ], - "text/plain": [ - " body_site subject\n", - "A gut s1\n", - "B skin s1\n", - "C tongue s1\n", - "D gut s2\n", - "E tongue s2\n", - "F skin s2" - ] - }, - "execution_count": 76, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "sample_md = [\n", " ('A', ['gut', 's1']),\n", @@ -3089,20 +1502,9 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "sns.set_style('white')\n", "fig = wu_pc.plot(sample_md, 'subject',\n", @@ -3119,20 +1521,9 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig = wu_pc.plot(sample_md, 'body_site',\n", " axis_labels=('PC 1', 'PC 2', 'PC 3'),\n", @@ -3150,7 +1541,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -3159,67 +1550,27 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "method name ANOSIM\n", - "test statistic name R\n", - "sample size 6\n", - "number of groups 2\n", - "test statistic -0.333333\n", - "p-value 1\n", - "number of permutations 999\n", - "Name: ANOSIM results, dtype: object" - ] - }, - "execution_count": 80, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "results" ] }, { "cell_type": "code", - "execution_count": 81, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "-0.33333333333333331" - ] - }, - "execution_count": 81, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "results['test statistic']" ] }, { "cell_type": "code", - "execution_count": 82, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "False" - ] - }, - "execution_count": 82, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "results['p-value'] < 0.1" ] @@ -3235,7 +1586,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -3244,69 +1595,29 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "method name ANOSIM\n", - "test statistic name R\n", - "sample size 6\n", - "number of groups 3\n", - "test statistic 1\n", - "p-value 0.084\n", - "number of permutations 999\n", - "Name: ANOSIM results, dtype: object" - ] - }, - "execution_count": 84, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "results" ] }, { "cell_type": "code", - "execution_count": 85, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1.0" - ] - }, - "execution_count": 85, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "results['test statistic']" ] }, { "cell_type": "code", - "execution_count": 86, + "execution_count": null, "metadata": { "scrolled": true }, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 86, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "results['p-value'] < 0.1" ] @@ -3334,98 +1645,9 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
body_sitesubjectObserved OTUsFaith PD
Aguts156.75
Bskins157.00
Ctongues146.25
Dguts245.75
Etongues256.75
Fskins235.50
\n", - "
" - ], - "text/plain": [ - " body_site subject Observed OTUs Faith PD\n", - "A gut s1 5 6.75\n", - "B skin s1 5 7.00\n", - "C tongue s1 4 6.25\n", - "D gut s2 4 5.75\n", - "E tongue s2 5 6.75\n", - "F skin s2 3 5.50" - ] - }, - "execution_count": 87, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "sample_md['Observed OTUs'] = adiv_obs_otus\n", "sample_md['Faith PD'] = adiv_faith_pd\n", @@ -3441,20 +1663,9 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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Faith PD0.9393361.000000
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" - ], - "text/plain": [ - " Observed OTUs Faith PD\n", - "Observed OTUs 1.000000 0.939336\n", - "Faith PD 0.939336 1.000000" - ] - }, - "execution_count": 89, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "sample_md.corr(method=\"spearman\")" ] @@ -3534,7 +1694,7 @@ "source": [ "### R kernel in Jupyter notebooks\n", "\n", - "Finally, if you want to use R in Jupyter notebooks, installation and instructions are here: " + "Finally, if you want to use R in Jupyter notebooks, installation and instructions are here: ." ] } ], @@ -3555,7 +1715,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.1" } }, "nbformat": 4, From ee99dd7047270df46231f38b4a58a8dd5b531b41 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Sun, 25 Nov 2018 21:06:54 -0700 Subject: [PATCH 59/78] adding scikit-learn tutorial to lesson 17 --- lessons/lesson17.ipynb | 3559 ++++++++++++++++++++++++++++++++++++---- 1 file changed, 3283 insertions(+), 276 deletions(-) diff --git a/lessons/lesson17.ipynb b/lessons/lesson17.ipynb index c61e7ec..9e14cbf 100644 --- a/lessons/lesson17.ipynb +++ b/lessons/lesson17.ipynb @@ -19,27 +19,17 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "ename": "ImportError", - "evalue": "No module named seaborn", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mskbio\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpyplot\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mseaborn\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msns\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmagic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mu'matplotlib inline'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mImportError\u001b[0m: No module named seaborn" - ] - } - ], + "metadata": { + "collapsed": false + }, + "outputs": [], "source": [ "# import required packages\n", "import pandas as pd\n", "import numpy as np\n", "import scipy\n", "from outliers import smirnov_grubbs as grubbs\n", - "import skbio\n", + "import sklearn\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "%matplotlib inline" @@ -47,8 +37,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 2, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# set up pandas and seaborn environments\n", @@ -115,13 +107,14 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 3, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# format the data: covert to datetime, average precipitation per month, get month and year, reset index\n", - "df = pd.read_csv('../data/la_jolla_precip_monthly.csv')\n", - "df['DATE'] = pd.to_datetime(df['DATE'])\n", + "df = pd.read_csv('../data/la_jolla_precip_monthly.csv', parse_dates=['DATE'])\n", "df = df.groupby('DATE').mean()\n", "df['MONTH'] = [x.month for x in df.index]\n", "df['YEAR'] = [x.year for x in df.index]\n", @@ -130,9 +123,110 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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DATELATITUDELONGITUDEELEVATIONPRCPMONTHYEAR
02008-12-0132.82540-117.2397154.80112.40122008
12009-01-0132.82540-117.2397154.806.9012009
22009-02-0132.82540-117.2397154.8072.6022009
32009-03-0132.82555-117.2449152.256.1032009
42009-04-0132.82555-117.2449152.252.0542009
\n", + "
" + ], + "text/plain": [ + " DATE LATITUDE LONGITUDE ELEVATION PRCP MONTH YEAR\n", + "0 2008-12-01 32.82540 -117.2397 154.80 112.40 12 2008\n", + "1 2009-01-01 32.82540 -117.2397 154.80 6.90 1 2009\n", + "2 2009-02-01 32.82540 -117.2397 154.80 72.60 2 2009\n", + "3 2009-03-01 32.82555 -117.2449 152.25 6.10 3 2009\n", + "4 2009-04-01 32.82555 -117.2449 152.25 2.05 4 2009" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# examine the resulting dataframe\n", "df.head()" @@ -140,11 +234,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": { + "collapsed": false, "scrolled": false }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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1+90uehxmMwetShKMBvPSRYTl/SIZ4vZUcbPriUKNYqCbFkzbiaSxh3XR712d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\nDy8UMRxXfHn0ZrzVHZv7L0da56GfPLaMpbKBay5ci7XpGO5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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# explore the data using a plot\n", "plt.plot(df.DATE, df.PRCP);" @@ -152,9 +258,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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ohtkMQAzAPEx27yyF0EN21yEbLGRNngo3FFQdMUW0o2E5zteuVtF0w47IkIcc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\nZ7K47nvP2t2V/o/vP4cjy0X86Rs24arzJ3FosYAnj5t/t6j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LATITUDELONGITUDEELEVATIONPRCPMONTHYEAR
count95.00000095.00000095.00000095.00000095.00000095.000000
mean32.830764-117.245553147.55578920.8780706.4526322012.378947
std0.0071650.0018246.19250530.7798473.4572422.302538
min32.825400-117.250100139.2000000.0000001.0000002008.000000
25%32.825550-117.245833139.2000000.8500003.5000002010.000000
50%32.825550-117.244900152.2500008.7500006.0000002012.000000
75%32.840533-117.244900152.25000027.1166679.0000002014.000000
max32.840533-117.239700154.800000166.20000012.0000002016.000000
\n", + "
" + ], + "text/plain": [ + " LATITUDE LONGITUDE ELEVATION PRCP MONTH YEAR\n", + "count 95.000000 95.000000 95.000000 95.000000 95.000000 95.000000\n", + "mean 32.830764 -117.245553 147.555789 20.878070 6.452632 2012.378947\n", + "std 0.007165 0.001824 6.192505 30.779847 3.457242 2.302538\n", + "min 32.825400 -117.250100 139.200000 0.000000 1.000000 2008.000000\n", + "25% 32.825550 -117.245833 139.200000 0.850000 3.500000 2010.000000\n", + "50% 32.825550 -117.244900 152.250000 8.750000 6.000000 2012.000000\n", + "75% 32.840533 -117.244900 152.250000 27.116667 9.000000 2014.000000\n", + "max 32.840533 -117.239700 154.800000 166.200000 12.000000 2016.000000" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# describe\n", "df.describe()" @@ -174,9 +417,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "20.878070175438598" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# mean\n", "df.PRCP.mean()" @@ -184,9 +440,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 9, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "30.779846675482016" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# std\n", "df.PRCP.std()" @@ -194,9 +463,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.8500000000000001, 8.75, 27.116666666666667)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# quantile\n", "df.PRCP.quantile(0.25), df.PRCP.quantile(0.5), df.PRCP.quantile(0.75)" @@ -204,9 +486,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.0, 7)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# min\n", "df.PRCP.min(), df.PRCP.idxmin()" @@ -214,9 +509,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(166.2, 166.0, 24)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# max (with rounding)\n", "df.PRCP.max(), df.PRCP.max().round(), df.PRCP.idxmax()" @@ -224,9 +532,47 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 112.400000\n", + "1 119.300000\n", + "2 191.900000\n", + "3 198.000000\n", + "4 200.050000\n", + "5 204.900000\n", + "6 208.750000\n", + "7 208.750000\n", + "8 209.150000\n", + "9 209.700000\n", + "10 210.200000\n", + "11 216.333333\n", + " ... \n", + "83 1799.216667\n", + "84 1822.066667\n", + "85 1889.566667\n", + "86 1900.916667\n", + "87 1926.016667\n", + "88 1940.016667\n", + "89 1966.216667\n", + "90 1966.816667\n", + "91 1966.816667\n", + "92 1967.616667\n", + "93 1979.516667\n", + "94 1983.416667\n", + "Name: PRCP, Length: 95, dtype: float64" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# cumsum\n", "df.PRCP.cumsum()" @@ -234,9 +580,47 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.0 16\n", + "1.0 12\n", + "2.0 5\n", + "9.0 4\n", + "7.0 3\n", + "25.0 3\n", + "5.0 3\n", + "4.0 3\n", + "12.0 3\n", + "11.0 2\n", + "24.0 2\n", + "29.0 2\n", + " ..\n", + "14.0 1\n", + "67.0 1\n", + "40.0 1\n", + "87.0 1\n", + "28.0 1\n", + "86.0 1\n", + "18.0 1\n", + "3.0 1\n", + "38.0 1\n", + "48.0 1\n", + "68.0 1\n", + "112.0 1\n", + "Name: PRCP, Length: 42, dtype: int64" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# value_counts\n", "df.PRCP.round().value_counts()" @@ -258,22 +642,82 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": { + "collapsed": false, "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke/miniconda3/envs/python3/lib/python3.5/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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R80I865PdOjo6sHTpUixatAjf/e53cfz4cZSUlAAA5s6dizVr1iR9jy+/HEzL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\nT8W/vdYGiyX6c/06w2/7nH2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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "sns.regplot(x='MONTH', y='PRCP', data=df, order=1)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": { - "scrolled": true + "collapsed": false, + "scrolled": false }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke/miniconda3/envs/python3/lib/python3.5/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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1FZWVlcE/t9vtSE4e/Cmno8M1rM0NWgBrvj0Zj22twcaqZnhECb98cz+2HW7F\nzy4YH/aKNINpbbMjRadChuHUTRKZmSY0Nw/+UDNWbaluw0sV9aizeZGXpMbi8lzMKTbHullxiz9P\noWE/DS5WfdRs96DTffIo8fbaDvzl8+PB10dabPjd+4fQaXNjdn7KiO7VYHNj5buHsK/ZP2urVgj4\n7/OLcFVpJuydLoQyl2s2G9HWFsZZ38z+d8RHNXKtX78ev/3tbwEAjY2NsNlsOP/88/HZZ58BAD76\n6COcddZZEW2DVqXAvRcV496LxkOj9M8EbDrQgltf24vjHa6I3rsvHS4f6mNUJzdRbaluw0MfHkF1\nuxOSLKO63YmHPjyCLdWxOZVARJEjyzIarO4eQRwANlU19fn1m6qaR3S/bccs+N6GPcEgnpOkwZ+v\nmoL5U7JivqmtP1EdkV933XW49957sXjxYgiCgIceeghpaWlYtWoVHnvsMZSUlGDu3LlRactVpVmY\nnGHEyncP4YTVjYOtDix/tRK/vKQEF49Pi0obAhxeEXWdbuQkafDJMQtHmoN4qaK+z+vrKhrYV0Sj\niCjJaLC5+6xsWWftu0BW4Gz3UPkkGc/uqMU/dp38fJmVl4xfxWBj9FBFNZBrNBo8+uijp1x/4YUX\notmMoMkZ/k0Lq7ccwSfHLLB5RNzzzkEsmp6N22cVQK2M3oSFR5Swfm8jnt1RC4UgQKVSBkeaABig\nuqmx9D1zUmNxRrklRBQpXlFCvdUNbz/Z2vJMGtR2nhq0x5mGXqSk1eHBfZsPY2e9f8lAALD8jHFY\ndkZe1I8qD8eoTAgzFMlaFR6ZOxG3zcoP1jdf93Ujbnt9H+qH+WQ3XK/va4JXlE9JM7iuqzg9+RWl\n6vq5ro9yS4goElw+EbWd/QdxAJhXmtXP9aGlSN15ohPf21AZDOKpOhUev2IyfhCDfCPDNeYDOQAo\nBAE3nT4Of7yyFBkG/xRKZZMd33tlDz6uaY9aOwJTRT5Jhk86OZXEkWZPi8tz+7y+qDwnyi0honCz\ne0LL1jY7PwUrZhUgP1kHhSAgP1mHFbMKQt7oJkoynvuyDj/ZVIVWpxcAMD07Cf9YUIZzRrhZLtqi\nntktns3MTcY/ri3Dr973Z++xukX84m3/VPttswqgifBUe/epIp8oQ5YkqBQCitIMEb1vogksM6yr\naECd3YPCNAMWledw+YEowXW6fGhxhH5GfHZ+yrB2qDfbPXjg/ZNT6QCwuDwHt8/KhyoMmUWjjYG8\nF7NejcdzcqNVAAAgAElEQVSvmIx/fHUCz35ZB0n2T7Xvqrfi15eehoKUvqd1w2FeaVaP4xSSDHgl\nGddPz47YPRPVnGIz5hSbeVyIaJRoc3rR3jUyjqTtxy349ZYjaO+qipmiVWHVnBKcX5ga8XtHSuI9\nekSBQhCw7Iw8rJl3cqq9qsWB77+yB28faonYfXtMFSn8U0W3nl2AiWYDvOKpuzaJiBKdLMtotLkj\nHsS9ooQ/bD+Gu948EAziM3KS8Py1ZQkdxAGOyAd0xrhkrL2uDKs/OIKtxzrg8Ep44P0j+KK2E3ed\nVwSjJvz50gNTRd2TCXglGbVdx9P0zNFORKPEQMfLwul4hwv3bT6EqhZ/OWsBwE2n5+IHZ+VDlSAb\n2gbCEfkgUnVq/H7uJPz03MLgP/imAy343it7UNlki1o7JFlGvdUNa6+kCEREicgrSqjrdEU0iMuy\njDcOtOB7G/YEg3iGQY0/zCvFD2cVjIogDjCQh0QQBCyanoNn5k9FQYr/jGJdpxsrXtuH53edOOW4\nWKTIAJrsHrQ4+k6EQESUCJzewY+XjVSn24f7Nh/G6g+OwNn1sHB+YSrWXleGs/Lip+BJOHBqfQhK\nM434+4IyPL61Bv/Z3wJRlvHU57X47HgH7ptTguykoSciGI4Olw9eUUZ2kgaKOE0ZGGnMtU6UmCwu\nL9oc3ohWL9t5ohO/3nIEjXb/oEejFPDjcwpx3bT4TbM6EhyRD5FBrcT/u7gED37zNJi61sh31lux\ndP0evHOoNWrtcHhF1Ha44BmDm+CYa50o8Uhdm9paIxjEvaKEJz87jh//pyoYxEvS9Hju6mlYWJY9\nKoM4wEA+bJeWmPH8dWU4Pddfzs/qEXH/+4dx3+ZDpyT3jxT/JjgXHN6xVdt8oFzrRBR/PKKE2g4X\nbJ7IfVZVtzvxg3/vxdrd9cEHhevLsvHXa6bhtPTRnYuDU+sjkJOkxR/nleKligb8ZUctfJKMdw+3\nYXeDDasuKYnKOowsAw1WNzKNGpi0Y+Ofk7nWE1tgWaTG4kJRqo7LIqOc1e1Ds8ODSBV4lGQZ//q6\nEX/+4jg8ov8m6Xo1fnlJMWYXJPaxsoDBllDHxid/BCkVAm48PRez8pPxqy1HcKTdiSa7Bz/ZVIWF\n07Jx+zn50IVYhH64ApvgfJKMNH18V+kJh6JUHarbTw3azLUe/wLLIgEsDDR6iZKMZrsH9gjOGNZb\n3XjwgyM9MrRdPD4Nd184ftR8FiZrVTAP8ncZ81Pr22s7sOq9g1j+aiVWvXcQ22s7hvU+kzKM+Os1\n03BD2cksbP9X2YibNuzB143RyTzW5vSiye6BPMprmzPXeuLissjY4PCKON7pilgQl2UZr1c1Y+n6\nPcEgblQrseqSEjx82WmjIojrVQrkJ+uQadQMWrwlIUfkSsGfvnSkttd29EiJWtvpDr4eTv5erUqB\nO88rwoXj0/DgB0fQYPPgeIcbP9y4D9+dkYsfnJkX8XztVrcPXlFCllET1TKs0cRc64mLyyKjX6vD\nA4srcvuEmuwe/Pajamw7fnLQdUauCb+8pAS5wyhhGm9UCgHpBjWSNKGH54QM5AUpOnS4fWh3+gat\nkDOQTVVN/VxvHlYgDzhzXDJeuG46nth2DK/vb4YkA2t31eOTGgt+eXExpmYl9fu922s7sKmqCY0O\nH7INKswrzRpyW1w+Ccc7XcgyaJA0StfNmWs9MXFZZPSSZBlNtshNpcuyjDcPtuLxrTXBTXMapYDb\nZhXg+rLshD+KKwj+Wh8pWtWQd9cn5JBNEASk6tQoStXBrFcP+x8wUDa0txNhqENu1Cix8uJi/P5b\nk5DeNc1T3e7ELa/txZOfHYe7j2xGgRmC2k5/Cb/ADMFwpvtlGWi0e9BoG7wcIFG0cFlkdPJnaXNH\nLIg32T34+dsHsfqDI8EgXpadhLXXlmHR9JyEDuIC/OvgRSl6pOrUwzoil5CBPEAhCEjTDz+g55k0\nfV4fF8bpmfMLU/HPhdPxrYnpAPxLAmt31+N7r+zBnsaeKV4HmiEYLptHxPEOF5xj7Igaxac5xWas\nvLgEJWkGKAUBJWkGrLy4hMsiCSyQpS0SOS1kWcbGqiYseflrfHrMAiCQ3KUAf/7OFBQm+EyOUa1E\nfkpo6+ADGRXzroGAnqpTocPtg8XlCyltau+yoSevZ4a1fSk6Fe6fMwHfKDHjfz4+ihaHFzUWF259\nbS8WlmVjxdn5MKiVEZsh8EkyTljdSNOrkaYb+rQNUTgFlkUoscmyjHaXL2JVy+qtbjz8UTW+qOsM\nXpuWZcQvLy7B+LTEDuBapQLpBnXYimCNikAeEJhyT9Gq0On2oX2QgB5Ye95U1YwTVjfGmbSYV5o5\novXxgVxYlIYZOSY8se0Y3jjQAhnAy3sa8dHRdtxzUTHyTBrUdp4atMM1Q9Du9MLhEZGdNHo3whFR\n5HlFCY02D9wRGIWLkoz1lY34yxe1wRzpWqUCK87Ox/Vl2SMaucaaRqlAml41pI1soRDkBDyrFOrm\nJlmWhzRCj6Ztxy34n4+PosF2chR+dl4yLE4vlAoBSqUCYtcvyYpZBWF9uBAEIEOvQbIu8Z/juNkt\nNOyn0LCfBqdJ0qHqeFtEErwcbHXg4Y+qsa/ZHrx2Rq4J91xUjIIUXfhvGEHdS1GHI4BnZpr6/bPE\n/yQfQPcRerwF9HML/Gvnf/miFv+3pxEygC/qOmHUKDE+RQdBAPKTdRGZIZBloNnh312aNcK1GSIa\nGyTZn+BFAyHsQdzlk/DXnXV4cXcDxK43N6qVuP2cAlw9JTNhN7NFagTe26gO5AG9p9wtLh98cRDQ\nDWol7jqvCN+cYMbDHx1FdbsTdo+IymY7zhufhlvPzo/oU6jDK+JYhwuZxoHPLDKlZmjYTzRauX0S\nGmxu+CQZ4f6J/qy2A7/75Cjqui0rXjw+Df91fhGyjH1vSI53aoWAXJMOrojWeDtpVE+t90eWZdg8\nItqd3ojWwx0Kryjhhd31+PtXJ4L5gjVKActm5mHJjJyIJ5IxaVXIMJy68793Ss2AeNlpHC9Toeyn\n0YH9dKpOlw8tDk8wJHWfMh6JVocHT2w7hncPn6xamGFQ47/PL8IlcfA7MxwqhQCzXg2TVhX2n6WB\nptbH5I4nQRBg0qpQkKJDhkEdF1PLaqUCy87Iw9pry3DmOH+xFY8o4y87arF0/R58UTe81LGhsrp9\nqO1wnXK+nSk1Q8N+otEmUHa0uVsQDwdRkrGhshGLXv46GMQFAAumZuHFhdMTMogrFQIyDRoUpuhi\nUrxqTEyt90cQBKTo/E9PHS4f2l3eiFXoCVVhqh5r5k3GxydseHjzQVhcPhzrcOGOTftx2QQz7ji3\nEBmGyEw3eSUZdZ0upBvUSNH5k9gwpWZo2E80mji9YrAQUzhVNtnw+0+OoqrFEbw2Md2Auy8cj2kD\nZLyMV/6jz6oe2dgCS2x1Ni/yktRRWWIb04E8IHAOPbnbGnoss6EJgoCrp+dgRroeT31+HBurmiED\nePdwGz49ZsEPzszHwrIsqBThn1CRAbQ4vHB6JWQaNUypGSL2E4VTrPZbyLKMNqc37LnSLS4vnvq8\nFq93fZYBgEGtwC1n5eO6adlQxcGs6FAoBAGpOhVSdKoey5Hdl9hUKmXUqvuNyan1/igV/oA+PlWH\nTIMG6hj/cKXoVLjnomI8PX8qJqUbAAAOr4Q/bD+GmzZUYke3RAnhZu+qXrRgajasbh9qLC4caHWg\nxuKC1e1jSs1emHqUwiUQDKrbnZBkORgMtlS3Df7NI+ARJdR2usMaxEVJxit7m3D9vyqCAxIA+GaJ\nGS8tLMei6TkJFcQFAcFsoml9ZBON1RIbR+R9EAQByToVknUq2D0iOlzeYGKCWCjLTsJfr5mGV/Y2\n4ekdtbB5RFS3O/GTTVX4RokZd8wuQHZS+Kv+iJKMVqcXVrcIm9sHCYBPlKFT8fmvt+4V2WosThSl\n6lmRjYZloGAQqZ+nDpcXrQ5vWNfCv6rvxONbj+Fg68lp9KJUHf77/CKcnReeI7WBIlN1Vg/yTJph\nFZkKhVIhIEV76gi8t1gtsTGQD8KoUcKoUcIjSrC4fLC5fVE6UNCTUiFgYVk2Lp1gxp8/r8Xr+/35\n198/0oZPayy4cUYObjw9FzpVeFL+BTy/sw6dbh+UCgEq+B9yOlw+PLG1hkGqF6YepXCIZjDwSRKa\n7V44wliLodHmxh+3H8d7R07OIOhVCiw/Mw83lGWHLatkuMtQ90WrVCBVp4JRowwptXWsltgYyEOk\nUSqQZdQgXa+GxeVFh9sXk41xZr0aKy8uxvwpmXj00xrsa7bDLUp4bucJvL6/Bbefk4/LJ6SHLZ/6\nobaTP5QygMBfunvmJfLjOXIKh2gFA5vbh2aHN2z7gZxeEf/cXY8Xdjf0SN36rdPScfs5BcgM85nw\nSJWhFgQgSaNCslY55IHR4vLcPo+hRnqJLaqB3Ov1YuXKlairq4PH48Ftt92G3NxcrFixAuPHjwcA\nLF68GFdccUU0mzUkSoWAdIMGqbrYBvRpWUl49uqpeONAC576vBZtTi+a7B488P4RrN/TiDvOLcT0\n7P7PHQ5X4K+agOkHIqr3OfJobXKh0SfSwcArSmhxhG8ULsky3jrYiqc+P44Wx8kCKqUZBtx1XhHK\nc8L/OQSEvwy1RqlAslYJk3bg6fOBdF9iq7N7UJhmiMoSW1QD+caNG5Gamorf/e53sFgsuPrqq/Gj\nH/0Iy5Ytw/Lly6PZlKDhjqK6B/QOtw8dMdjprhAEXDk5E3OKzfjHrhNYV9EAryRjT5Mdt762D5eW\nmHH7rAKMSx7++vkEsx5fN9ogdvurKQWg2KxHvdWNDIOaBVgQm3VNGp0itd8iUK3M4hzeWnhgPbrR\n4UO2QYV5pVnQKRX4w/ZjPWbozHo1VpydjysnZ0Q0tWo4ikypFQKMGiWSNCpow7T3J7DEFs3kQlEN\n5N/61rcwd+5cAP4fKqVSiT179qC6uhqbN29GUVERVq5ciaSk6JwnDMcoStmVySdNp4LNI6LD5YtI\nRaCBGDVK3D6rAPNLM/HH7cfxwdF2AMDmI2346Gg7FpZl4/szxw0rUcG4ZC12NfSsmy7KQK5JC4dX\nxPEOEck61bDqwY8mPEdO4RTu/RZ2j4gWx/DPhXdfj1YqFTjc5sSq9w7B5jk5qtcoBSyenoOlp4+D\nURPevTp9GW4ZaqVCgCnMwTvWohrIjUYjAMBms+GOO+7AnXfeCY/Hg4ULF6KsrAxPPfUU/vSnP+Hu\nu++OSnvCOYoKZIszaVVw+fwB3e4Ro7oxLi9Zh4cvn4hd9dbgU7JXkvFiRQNe39+M788ch2unZg/p\nh3dHXSfUCkCU/NPqAgClAviy6+ibDKDD5YPVLcKsVyFZOzbrnfMcOcUjnyShxe6FfYTT6JuqmmDz\n+NDu9MHlk3rM0AHAZRPMuG1WAXLDVHI5FEMpQy3AP+AxaVUwhKkGeDyJ+ma3+vp6/OhHP8KSJUvw\nne98B52dnUhO9qckveyyy7B69epB3yMtzQBVGHZn19m8fb5Pnd0zYF7bUBTAf3yrw+WFxekN+Un4\nkyOt2FDRgOMWJwpS9bi2PAcXlKQP6d7fMBtxydRsvLGvCY99cAR1nS5Y3SLWbD+O9Xub8NMLi3HV\ntJyQUtNaPSKUCgV6z553ekSYzcYe1yQADqUCmUYNjFFMUzjSf6twuO3CEqx8o+qU6z+8sDgu2gfE\nRz8lgtHQT7Isw+L0osPhhdakxEjD64E2J+qtnlMCuFalwNolp2PGuPAf+QrFFWYjrigf1++fa5UK\npHQl+1JE6bz6O/ub8NfPj+NIqwMl6QYsn1WAyydnRfSeUQ3kLS0tWL58Oe677z6ce+65AICbb74Z\nq1atQnl5ObZt24Zp06YN+j7t7Y5BvyYUeUnqPkdRhWmGsK5tmADYPP51dNcA59F7T18dabHhd+8f\nQqfNPaxdmOflJOHM68rwf5WNeH7XCVjdIuo73bhnUxWe3lqDFWfn48Ki1AFH0CaNEh19JIhI0ar6\nLZzQ0OwvQZgehfXzeClyMdOsxy/OLzplXXOmWR8X7YuXfop3o6GfHF4RrQ4vPGFY4nP5JGyobMRx\nS886XoGZuRSNAgW6/j8LYqHHrnMo4bWJaLUN/n3h0DuzW1VDJ36xsRKWi50jXiqJm3rkf/7zn9HZ\n2Yknn3wSTz75JADgnnvuwUMPPQS1Wo2MjIyQRuThEs2jAkkaf01at09Ch7vv8+iROE6hVSlw44xc\nXFWaiRd21eNfexrgEWUcaXfi7ncOYmqmESvOzsfZecl9BvRrpmbj7zvrTrl+9dTsAe9r94pwdIhI\n7do/MBam23mOnGLJI0poDdNudJ8k4T/7W/DXnXVotnt7/JlKIUABGYIgQBdH09Q6lQLJWv+Z71jt\n14nVptcxWca0uy3VbTHJxiVK8im73Ze/Whk81qVUKiB2PVErBAHPXTP4TEUommwePPtlHd440Nxj\nmmxmrgkrzs7HjD6Oivz9qxP4995GdLh9SNGqcPVU/+a5UPWXlzgcRsMIKhrYT6FJxH4SJRntLi86\nXSNPVuWTZLx9sAV/3XmixzEulUKAUa2AKMnwAVALAlJ0KpRmGLH6m6eN8K7DpxCE4JGxSJd6DsXc\nf3wZ/DxXqZTw+fwPVUpBwFvfO3NE7x03I/J4FKtRVPfd7oFCLeE4TjGYrCQNVl5cjBtn5ODZL+uC\nZQS/qrfihxv3YVZeMn5wVl6PM+jfnzluSIG7N6mrEEO7y4tkrQqpOlVECr4QjTVWtw8tYUjqIkoy\nNh9pw3Nf1uFYx8kTGDqVAjeUZWNyphHPf3UCQM9BxmA7xCPFoFbCpFXCqA4t41q0MLPbGBUopZqi\nU2Pp6ePwyMfV6L0vLhK/LIWpevz60tOw9HQHnv6iFp8cswAAPq/rxOd1nTgnPwU/ODMPZdnhOwoo\ny/4d7p0uH5K0KqTpVDyDTjQMbp+EFodnwD03oRAlGe8dbsXfvjrR4wilRilgwdQsLJ0xDmaDv6Sx\nXq3EpqpmNDq9yDXq+t0hHikqhf9kULJWGbcDgVhldhvzU+vxZkt1G17aXY9jNjcydWp8a1JGVH5Z\nKptseO7LOmw73tHj+jn5yfj+zDycnhuZnbxJGiVSdephn+dMxKnQWGA/hSbe+0mU/LNbne6RVSjz\nSTLePdSKv391oscIXKUQML80E9+bOa7flKpmszFqm9sCG9dMGiX0cbQeP5DAcm2d3YM8oyZsy7UD\nTa0zkMepwAeKwyvC4oxe9bU9jTY8+2UdPqvtGdBPzzVh2cxx/W6KGymjWok0/dADejx98MZzrvV4\n6qd4Fq/95JMktDt9sI6waJNHlPDmgRas3V2Pus6ea+DfmZyJpafnDnoWPBqB3KBWwtRVsCqeps6H\nItw/S1wjH0A8f/gC/h9og1oJp1eExeULa5WivpRlJ+F/r5iMrxut+PvOE9jaNULfVW/FT+v3Y2qm\nEUtPz8VF49PCunHN7hVh94pI0ihh1ide2lfmWqdI8IgS2p3eESeXcnhFvLavCS9WNPTIh65RCriq\nNBM3zsiNSCnkoVArAkm14nfqPF6N6UCeSB++erV/askjSrC6fbB6RIjDTLcYiunZJjz67cmoarbj\n71+dwIddaV/3Nttx77uHUJiiw40zcjF3YnpYd4vaPCLsHjHh1tCZa53CyeUTYXH6RpyRrd3pxfrK\nRmyobEJHt+l4nUqB+aWZ+O6M3LBXJRsKhSDApFUiSTP0SmN00pgO5In44atRKpBu0CDd4H/Ktroj\nmwq2NNOI314+EYfbHPjHVyew+UgbJBk41uHCQx9V4+kdtbihLAfzp2QOK5d7X2T4d+Na3T4kaZRI\n0ani/pecudYpHMK1lHa8w4V1XzfgP/ub4el2ztSkUeK6smxcX5aNVJ16pM0dFkHwL6UlaVQwqBUJ\nO3UeT8Z0IE/0D9/AtLsky7B7/EE9UmvpE8wG/PrS07DibBderDj5AdHi8OJPnx/H376qw5WTM3FD\nWc6Iqq31ZvOIsHlE6FUKpOjUUSnGMBzMtU4j4fCKaHN4R1RwSZZlVDTasK6iAR8ebe/xcJ+uV+OG\n6dlYMDU7Jr9DCsFfZcyoVjJ4R8CYDuSj5cNX0a1gi0+S/MHPLUakCltesg4/v2A8bj4zD/+3pxEb\n9jbC6hbh8Ep4eU8j1lc24uLxabhheg7Ks5PC9gvr9Elw2tzQKBVI06mQFMVc7qGI1bETSmwOr4h2\np3dEx8h8koTNR9rwr68be5QTBfyfcd8tD/8SWCgCwTtJo4RexeAdSfH1aRhlo/HDV6VQIFWnQKpO\nDa8oBUe0I8m7HKhDXGf1IM+kwbzSLMzOT8GKs/Nx0+m52HSgBeu+bkBdpxuSDGypbseW6nZMzjBg\nYVk2LpsQvg8Rjyih0e5Bm9OLVJ0aGXFy6CJSNaRp9JFlGTaPiE73wLUXBtPm9GLjvma8sq/xlDSq\np+eYsKQ8B+cXpUY1XalCEJAUCN4JclxsNBjzx89ilaJ1MOE+uuD2Seh0+2DziEPKAtW9kEt3K2YV\n9DjfLkoyPq5px7qvG7C7V/3yNL0KV03OxNVTs5ATpp2xgYeLRoc/I55/1JERlvcejeL1WFW8iWQ/\neUV/nQWre2i/g71VNtmwvrIRmw+3wdttw6tSEPDNCWYsmp6D0kzjAO8wMr2PnwVKhHLNu6doHj8b\n84E8XkXqA0WWZdi9Ytd0+OA7Yle9d7DPtLH5ybp+cyxXNdvx8p4GvNfrg0YhAOcXpmLB1CzMyk8Z\n9kihd5W4QLrIH51TiMtOS4/rzE+xwkAemnD3U2D0PdL9K06viHcPt+Hf+5pOmT5P1alwVWkmrp2W\njawo7EA3m41ob7fDqO5a845hkZJ4xnPkFDGCIAQrsQXW0ztdvh4Bt7s6q6fP690LKvRWmmnEfXMm\n4MfnFOLVfU34976mrnzQwMc1FnxcY0GeSYvvlGbiyskZSDcM7cOnvypxr+1rwll5yWh3ekdFQglK\nXMOdAevtUJsD/97bhLcOtp5yFK00w4DryrLxzZL0YWdGHAqlQoBBrUResg6pssTfqzgy5gN5vCeE\niaTu6+kun4hOtwibx4funzsjKeRiNqhx85l5+N7MXHx81IINe5vw5YlOAECd1Y0/f1GLZ3bU4YKi\nVMwvzcSs/BQoFYN/OITycOHw+mccFA7ulqXoCDwYW90j25Ni94h473ArXt/fjMqmnqNvjVLAN4rN\nuK4sG1MzjRH/eVYrun5/up3zNmpVcPD3KK6M6UAejwlhAg8WdTYv8pLUUXuw0Kn8v6iZBrX/KJtH\nhNMrYl5pFh79pBodLhEeSYJGoUCKTjmkQi4qhQJzSsyYU2LG0XYnXt3XhDcPtsDqFiHKMj482o4P\nj7Yj06jGtydm4MrJmShI0fX7fkN5uJBkOXgmXRAAg0oZ/GDidCCNVODop80T2lJVfwJHx16vasbm\nI22nbILLNKixuDwHV0zKQEqEz38HgneSRhWVkT6N3JgO5PGWEGZLdRvufecg2pxeeEQZB5UCKhps\nePjyiVFrjyAISNL6j3f5JAlfN9kgwB/wToa94QfA8Wl63HVeEW6bVYAPq9vw76pm7Kr3ryM12714\nflc9nt9Vj/LsJMybnIE5xeZTEs3MK83qcwPeYA8XsnwyFaxg95/DT9JwjY+GpnvwdnpHloyprtOF\ntw624s0DLajrtVwlIFBUyL+JrNhsiFgQVykCu80ZvBPRmA7k8ZYQ5n+31qC+65dZEAS4fRLqrW48\nsa0mJg8WKoUCm/Y3I02vQopOBVGWg9Pum6qaR1SVTadSYO7EDMydmIEaixOb9rfgzYMtwTzQFY02\nVDTa8OinNTi/MBXfnpiB2QUpUCsVmJ2fgqpmO17d2wirR4RJo8Q1U7OH1B4ZPYO6vmvq3aBWJkxa\nWIoOWZbh8kn+XAZeEW6fNKLg3eHyYUt1G94+2IpdDaduhkrSKKFSCPCJEjySBIvLBxmqEf/O9aZU\nnDwqFu+ZE2lgYzqQx1tCmN67UYPXm6JTMrAvNRYXBEGAUgCUECDJMkRJDj5whENRqh63n1OAW8/O\nx+e1HfjP/mZ8XGOBT5LhEeXgufRkrRJzis3IS9HhgyOtMOvVyEzSQhQlfFjdhtJM47A+6GScXFMH\nvFArBBj4ATemeUUJDq8Ip1eCwydipGd7XD4RHx+14J1Drdhe2wFfr82lqToVLj8tHd+emIFVmw/2\nOBfuESU02z0IYfvIoAJHxUxaFQw85z1qjOlAPhoTwoRb74cdhSBAoRRQnKpHdpIG9q4iJ+E4w6hS\nCDivMBXnFaaiw+XD+0fa8NbBFlQ0+s+ld7pFvFbVDABQCkCyVoVUvRoahX8GI1wjFq8ko8PlQ4fL\nN6Qpx7G8cTLReUUJLp8EyerGcYvzlEA7HC6fiK3HOvD+kTZ8esxyyrq3WiHg/MJUXDEpA+cWpgSP\nTHbPjd6dewTH17RKBZK1KiRpR9cyEn/n/MZ0II+3bFxTM43YcaIToiRDhv/pWakQMCWCyR0G09/D\nzuIZucFjbHLXmqHdG76gnqJT4ZqpWbhmahbqOl14+1Ar3jnUGlwOEWWg3eVDe7dg6/RK8EkyVOEY\nunTxSTIsLh8sLv9mOY1CAbVSgFalgFqhgE6lgFIhxOXGyXgVDx++Lp8Il0+Cy+ufMg8cETNr1SMK\n4naPiK3HLPjgaDu29hG8BQBn5iXj8gnpuKQ4rc9CQ/09MA517VqjVASnzkfjchF/504a04Ec8P+D\nx8s/+iUlZuyo6+x5UfZfj5VQHna6b5CTZBmObrvewxHU85J1WH5GHpbNHIfDbU6s2nwIdZ3u4Nn3\n7sH2Oy98hfMLU3Hh+DTMyksOa5pIWQbcogS36C/mEqBUCPjrl7XwSTIE+BPfBI4FxXMlvViIxYev\n1LXG7RElOL0SnGGYKu+uzenFJzXt+LC6HV/UdfaZk6EsOwmXlphxaYl50LKhk9MNkGUZHS4RXkmC\nujn0WRMAABfvSURBVOukyKT0gR/oFYIAg9r/cKlXK8OeWz1WJ2r6E2+blQNi0U9jPpDHk71NNuSn\n6Py71iUZGoUAs14d0zVyYGgPO4puQV2UZNg8/pSU4SjgIggCTks34KfnFeHPnx2DyyfB7pXQ0S2h\njcXlw6YDLdh0oAUapYCz81JwQVEqzitIRVZSZLJeiZKMYx1u9EySKEMQgEOtdlhcXqgUAtQKBVQK\nIaSz8qNVpD98JVmG2ycFA7fLJ4Vlmrw7WZZxqM2JT2ra8ekxC/Y22ft8YC3LMuIbJen4RkkasoeQ\nmnheaRZqPz+OJE3v0xo9T2UI8G8aNXblNY9kUZR4OFHTW7xtVgZ6PqiqVMqozRKM+UAeD9N8ATUW\nF0xaJUxaJVQqJXw+set6YpRV7U2pEJCiUyOlq4CLtStV5Ug/WP271tPx6t5G2L0iUnVKXFxsRrJW\nhQ+PtuNwm7+/PKKMT49Z8OkxCwBgglmP8wpScW5hCqZnJ4U1jWtfZ9tlGcg2adHq6FnQQiEIUCsE\nqJUC1EoFNAoBKqU/0I/2IB+OD19ZluGVZPgkGT5Rhk+W4RUleER5RIlYBmLz+LCjrhPbj3dg+/EO\nNNpPTUqkFAScMc6Ei8an4aKitGE/OAb2eWyqasYJqxvjTFrMK83E7K60xga1IuqpUePtRA0Qf5uV\ngdjNEozpQB5vayzx+IMJhOdhR61UwKxXwKz3Z5GzusVhp6/cXtuBD6vbeuxa39Now4pZBbjlrHzU\ndbrwSY0FH9e0Y1e9FYG9Q4fbnDjc5sTa3fUwqBU4IzcZs/JTMCs/GYUpuhFlyRrK2XZJluEWZbhF\nAOiZRESAf9OfRulfi1d3rclrlKMjyA/1Z9wnnQzQbp///73iyI5/hcInydjXbMOOuk58VtuBPY02\n9LUHzahWYnZBCs4vTMX5RalIDlN53dn5KcHArVcpoFMroFcpY3bGOx5P1Cwuzw3OErhFCVql//Ml\nlpuVYzVLMKYDebytscTjLvpIPOwEsshlGPwFXGxdBVxC/XDuL9d6YNd6XrION0zPwQ3Tc9Dp9uHz\n2g5sPWbB9uMdaHf5AAAOr4RPjlnwSddoPcuowRnjTDhzXDLOHJeM3BBS0HY30ChqKGT4d817JRHo\nOZAPbn5UCv7RfOBYoELwX1MIgKLrz5UK/wgxXlLSyrIMSQauL8vBbz860uPfWpaBq0oz0e70Quw6\n3ugRZXglKaxr2QORZBmHWh2oOtyGjw624Kv6Tji8fY/uC1N0OLcgBRcUpeH03PDO7AD+HeYGjbJr\nvZtHxAbi8Ppg94jwyf7ZGZ0qtj/vsRqMjelAHm9rLN03ltXZPShMM8S8rGokH3a6F3ARpZM73wfb\nJDeUQi7JWhW+OSEd35yQDkmWUdVsx/baDnxR24mvG20QuyJFk92Dtw624q2DrQCAXJMGp+eYMCPH\nhBm5JhSFPGKXu9oe/ggkwz9S9CEwmh+cIPgDulOlhMXqDp5FFgR/vj5BOJmnr/s1wH89mNWv27UA\nSQYk+AN0IL+AJKPrvzJE2R/Au/dEcZoey87MP+WBpzTTiDZnryeXCPKKEg60OrCr3oqv6q3YeaKz\n3+pkBrUCZ41LxjkFqZidn4JxyeEpxRsgCAhWEtOrlXE58zI104iv6k9NXhPLEzVPbK1Bm8Pnn9Xr\n+llsc/jwxNbYTffHajA2pgN5PE5lBzaWxUvZyWg97CgVApJ1KiTr/EHd4e0/BeZwC7koBAFTs5Iw\nNSsJy8/Ig90jYmd9J76o7cSXJzpxpNvPQr3Vg3prK97sCuypOhWmZydhWlYSyrKTUJphhFFzcrTU\nu257bac7+Dqc2biGatvxk3Xbsw0qzCvNiml7gJPTxtHU6vBgb5MdXzfa8HWjDXubbf2e1wYAvUqB\ni4rTcM2ULEzLMoZ91K1RKqDvWuvWqeK/mM9PzyvCTzftQ6vDB1GWoBQEpBtU+Ol5RTFr0+4Ga48T\nAoEHyoo+suVFS6wGY2M6kMfjVHa8icXDjlIhwKRVwaQ9OVK3eU7Wc+5eyMUryVArhCEXcgH8Ga4u\nLErDhUVpAPzHiHae6MTOE1Z8Vd+Jo90eYiwuX7AEK+A/YlacpseUTCNKM4z4sLoNkiyfsvko3Gk1\nh6J33fZ4ebiItA6XDwda7djf7MDeZhv2Ntn73JwWENj9bVArkKRVQasUoBAEiKKMGTn914AeikAJ\nUEPX0bB4HHUPxqBWwaWRgydqDOrYho9+E+cM8IAWDbEYjI3pQB5vCWHiUawfdvoaqetUiuCU78m5\n3pF/MJr16uA0PABYXF583WDD7gYrdjdYsb/FERwBSPLJzXP/2d8SfA9tV7IYrdJ/nvdYhxOyLMdk\nxDXYXoJEJ0oyTljdONzmwOE2Jw602HGg1YEGW/9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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "sns.regplot(x='MONTH', y='PRCP', data=df, order=2)" ] @@ -301,8 +745,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 17, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# 1st order with np.polyfit\n", @@ -311,11 +757,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": { + "collapsed": false, "scrolled": false }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# plot scatter and polyfit\n", "plt.scatter(df.MONTH, df.PRCP)\n", @@ -324,9 +782,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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a2/VfL61kpANAzhR8IA90z9juDxq15k+myuNy9TtX2G8vsdewZ995wMHcW5jP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\nRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# sort DataFrame by month, then re-plot\n", "df.sort_values('MONTH', inplace=True)\n", @@ -343,8 +814,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 20, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# 2nd order with np.polyfit\n", @@ -353,9 +826,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 1.68178223, -21.14169112, 67.38422486])" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# values of p are in decending orders\n", "p" @@ -363,11 +849,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": { + "collapsed": false, "scrolled": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 1. , 1.2244898 , 1.44897959, 1.67346939, 1.89795918,\n", + " 2.12244898, 2.34693878, 2.57142857, 2.79591837, 3.02040816,\n", + " 3.24489796, 3.46938776, 3.69387755, 3.91836735, 4.14285714,\n", + " 4.36734694, 4.59183673, 4.81632653, 5.04081633, 5.26530612,\n", + " 5.48979592, 5.71428571, 5.93877551, 6.16326531, 6.3877551 ,\n", + " 6.6122449 , 6.83673469, 7.06122449, 7.28571429, 7.51020408,\n", + " 7.73469388, 7.95918367, 8.18367347, 8.40816327, 8.63265306,\n", + " 8.85714286, 9.08163265, 9.30612245, 9.53061224, 9.75510204,\n", + " 9.97959184, 10.20408163, 10.42857143, 10.65306122, 10.87755102,\n", + " 11.10204082, 11.32653061, 11.55102041, 11.7755102 , 12. ])" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# create a finely spaced array\n", "x1 = np.linspace(1,12)\n", @@ -376,9 +883,31 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 23, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([47.92431598, 44.01806249, 40.28131809, 36.71408276, 33.31635652,\n", + " 30.08813935, 27.02943126, 24.14023226, 21.42054233, 18.87036149,\n", + " 16.48968972, 14.27852703, 12.23687342, 10.36472889, 8.66209345,\n", + " 7.12896708, 5.76534979, 4.57124158, 3.54664245, 2.6915524 ,\n", + " 2.00597143, 1.48989954, 1.14333673, 0.966283 , 0.95873835,\n", + " 1.12070278, 1.45217628, 1.95315887, 2.62365054, 3.46365129,\n", + " 4.47316111, 5.65218002, 7.00070801, 8.51874507, 10.20629122,\n", + " 12.06334644, 14.08991075, 16.28598413, 18.6515666 , 21.18665814,\n", + " 23.89125877, 26.76536847, 29.80898725, 33.02211512, 36.40475206,\n", + " 39.95689808, 43.67855318, 47.56971737, 51.63039063, 55.86057297])" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# calculate the y vector for the fit curve \n", "y1 = np.polyval(p, x1)\n", @@ -387,11 +916,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": { + "collapsed": false, "scrolled": false }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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S1N3bC+2Zr09dtg/qucp6/OXbs6ivt7h1H1RvxvEs5zBOzmGcOscYOceTY8jdTshnz55F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\nEREJgAmZiIhIAP8fCkCnNlPUV6gAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "plt.scatter(df.MONTH, df.PRCP)\n", "plt.plot(x1, y1, '-');" @@ -399,8 +940,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 25, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# 3rd order with np.polyfit\n", @@ -409,8 +952,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 26, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "y1 = np.polyval(p, x1)" @@ -418,11 +963,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 27, "metadata": { + "collapsed": false, "scrolled": false }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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N6caaA7Vej605UIunb8oN2d6aREQUPgYcyD/60Y/OeV1UVIQ1a9ZccoHCXWVrB6wOj9dj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\nGhsbg3puBnKQbNiwAbGxsXjzzTfx2mu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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "plt.scatter(df.MONTH, df.PRCP)\n", "plt.plot(x1, y1, '-');" @@ -437,9 +994,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 28, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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ZuwYrSws4HzzuytOtyLAmYG+jk9UljdNsEt7NUXtMzR9Kwhy5a5Esy9jT4ESG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\nRiIky9he68CEZCOmZPDoQvo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DATELATITUDELONGITUDEELEVATIONPRCPMONTHYEAR
02008-12-0132.82540-117.2397154.80112.40122008
12009-01-0132.82540-117.2397154.806.9012009
22009-02-0132.82540-117.2397154.8072.6022009
32009-03-0132.82555-117.2449152.256.1032009
42009-04-0132.82555-117.2449152.252.0542009
\n", + "
" + ], + "text/plain": [ + " DATE LATITUDE LONGITUDE ELEVATION PRCP MONTH YEAR\n", + "0 2008-12-01 32.82540 -117.2397 154.80 112.40 12 2008\n", + "1 2009-01-01 32.82540 -117.2397 154.80 6.90 1 2009\n", + "2 2009-02-01 32.82540 -117.2397 154.80 72.60 2 2009\n", + "3 2009-03-01 32.82555 -117.2449 152.25 6.10 3 2009\n", + "4 2009-04-01 32.82555 -117.2449 152.25 2.05 4 2009" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# we are going to use the numerical index for our \"t\" variable\n", "# make sure our index is sequential (December 2008 is zero)\n", @@ -470,9 +1141,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 30, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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ORqe4a9Y/A5msaMxmFWW+Vy8OZUVnMSjU/rXFtCd4Po/pfP1WdaqVsGdVBVQV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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "plt.scatter(df.index, df.PRCP)\n", "plt.xticks(np.arange(0, df.index.max(), 12));" @@ -480,8 +1164,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 31, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# store our values as new variables\n", @@ -491,8 +1177,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 32, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# guess the sine wave properties\n", @@ -507,8 +1195,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 33, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# create the function we want to fit\n", @@ -518,8 +1208,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 34, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# now do the fit\n", @@ -528,8 +1220,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 35, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# we'll use this to plot our first estimate. This might already be good enough for you\n", @@ -538,8 +1232,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 36, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# recreate the fitted curve using the optimized parameters\n", @@ -548,11 +1244,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 37, "metadata": { + "collapsed": false, "scrolled": true }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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b7Wy+H38brw65mlC9kSd2f0uxvSLQRWyWDzN3MPKLf3HAms8tPUfx5TlzeCHt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\nM20YN0U2Z0deMpdMBT6/o2yeRObNjxJmLuCTc1voofe92UwURcxbPsJ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0MoonEarth3840003476127421.495979e+081.0002.199064e+101.083207e+12
1DeimosMars92702067792.281368e+081.5254.188790e+031.631156e+11
2PhobosMars23460867792.281368e+081.5252.680826e+021.631156e+11
3CallistoJupiter188300048001398227.786569e+085.2055.790584e+101.431282e+15
4EuropaJupiter67090031261398227.786569e+085.2051.599431e+101.431282e+15
5GanymedeJupiter107000052761398227.786569e+085.2057.689763e+101.431282e+15
6IoJupiter42160036291398227.786569e+085.2052.502416e+101.431282e+15
7DioneSaturn37740011201164641.427912e+099.5457.356186e+088.271299e+14
8EnceladusSaturn2380204981164641.427912e+099.5456.466759e+078.271299e+14
9HyperionSaturn14810002261164641.427912e+099.5456.043993e+068.271299e+14
10IapetusSaturn356130014361164641.427912e+099.5451.550465e+098.271299e+14
11MimasSaturn1855203981164641.427912e+099.5453.301018e+078.271299e+14
12PhoebeSaturn129520002201164641.427912e+099.5455.575280e+068.271299e+14
13RheaSaturn52704015281164641.427912e+099.5451.867965e+098.271299e+14
14TethysSaturn29466010601164641.427912e+099.5456.236145e+088.271299e+14
15TitanSaturn122185051501164641.427912e+099.5457.151881e+108.271299e+14
16ArielUranus1912401160507242.872279e+0919.2008.172832e+086.833436e+13
17MirandaUranus129780472507242.872279e+0919.2005.505853e+076.833436e+13
18OberonUranus5826001526507242.872279e+0919.2001.860639e+096.833436e+13
19TitaniaUranus4358401580507242.872279e+0919.2002.065237e+096.833436e+13
20UmbrielUranus2659701190507242.872279e+0919.2008.823472e+086.833436e+13
21NereidNeptune5513400340492444.495416e+0930.0502.057953e+076.252570e+13
22TritonNeptune3548002705492444.495416e+0930.0501.036336e+106.252570e+13
\n", + "
" + ], + "text/plain": [ + " moon_name planet_name moon_planet_distance_km moon_diameter_km \\\n", + "0 Moon Earth 384000 3476 \n", + "1 Deimos Mars 9270 20 \n", + "2 Phobos Mars 23460 8 \n", + "3 Callisto Jupiter 1883000 4800 \n", + "4 Europa Jupiter 670900 3126 \n", + "5 Ganymede Jupiter 1070000 5276 \n", + "6 Io Jupiter 421600 3629 \n", + "7 Dione Saturn 377400 1120 \n", + "8 Enceladus Saturn 238020 498 \n", + "9 Hyperion Saturn 1481000 226 \n", + "10 Iapetus Saturn 3561300 1436 \n", + "11 Mimas Saturn 185520 398 \n", + "12 Phoebe Saturn 12952000 220 \n", + "13 Rhea Saturn 527040 1528 \n", + "14 Tethys Saturn 294660 1060 \n", + "15 Titan Saturn 1221850 5150 \n", + "16 Ariel Uranus 191240 1160 \n", + "17 Miranda Uranus 129780 472 \n", + "18 Oberon Uranus 582600 1526 \n", + "19 Titania Uranus 435840 1580 \n", + "20 Umbriel Uranus 265970 1190 \n", + "21 Nereid Neptune 5513400 340 \n", + "22 Triton Neptune 354800 2705 \n", + "\n", + " planet_diameter_km planet_sun_distance_km planet_sun_distance_au \\\n", + "0 12742 1.495979e+08 1.000 \n", + "1 6779 2.281368e+08 1.525 \n", + "2 6779 2.281368e+08 1.525 \n", + "3 139822 7.786569e+08 5.205 \n", + "4 139822 7.786569e+08 5.205 \n", + "5 139822 7.786569e+08 5.205 \n", + "6 139822 7.786569e+08 5.205 \n", + "7 116464 1.427912e+09 9.545 \n", + "8 116464 1.427912e+09 9.545 \n", + "9 116464 1.427912e+09 9.545 \n", + "10 116464 1.427912e+09 9.545 \n", + "11 116464 1.427912e+09 9.545 \n", + "12 116464 1.427912e+09 9.545 \n", + "13 116464 1.427912e+09 9.545 \n", + "14 116464 1.427912e+09 9.545 \n", + "15 116464 1.427912e+09 9.545 \n", + "16 50724 2.872279e+09 19.200 \n", + "17 50724 2.872279e+09 19.200 \n", + "18 50724 2.872279e+09 19.200 \n", + "19 50724 2.872279e+09 19.200 \n", + "20 50724 2.872279e+09 19.200 \n", + "21 49244 4.495416e+09 30.050 \n", + "22 49244 4.495416e+09 30.050 \n", + "\n", + " moon_volume_km3 planet_volume_km3 \n", + "0 2.199064e+10 1.083207e+12 \n", + "1 4.188790e+03 1.631156e+11 \n", + "2 2.680826e+02 1.631156e+11 \n", + "3 5.790584e+10 1.431282e+15 \n", + "4 1.599431e+10 1.431282e+15 \n", + "5 7.689763e+10 1.431282e+15 \n", + "6 2.502416e+10 1.431282e+15 \n", + "7 7.356186e+08 8.271299e+14 \n", + "8 6.466759e+07 8.271299e+14 \n", + "9 6.043993e+06 8.271299e+14 \n", + "10 1.550465e+09 8.271299e+14 \n", + "11 3.301018e+07 8.271299e+14 \n", + "12 5.575280e+06 8.271299e+14 \n", + "13 1.867965e+09 8.271299e+14 \n", + "14 6.236145e+08 8.271299e+14 \n", + "15 7.151881e+10 8.271299e+14 \n", + "16 8.172832e+08 6.833436e+13 \n", + "17 5.505853e+07 6.833436e+13 \n", + "18 1.860639e+09 6.833436e+13 \n", + "19 2.065237e+09 6.833436e+13 \n", + "20 8.823472e+08 6.833436e+13 \n", + "21 2.057953e+07 6.252570e+13 \n", + "22 1.036336e+10 6.252570e+13 " + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "df_moons = pd.read_excel('../data/moons.xlsx')\n", "df_planets = pd.read_excel('../data/planets.xlsx')\n", @@ -605,9 +1710,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 39, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.39231409401451894, 0.06408634688502726)" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# pearson correlation (linear regression on values) of diameters\n", "pearson_r_diameter, pearson_p_diameter = scipy.stats.pearsonr(df_solar.planet_diameter_km, df_solar.moon_diameter_km)\n", @@ -616,9 +1734,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 40, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.5186568153916277, 0.011223179377141783)" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# pearson correlation (linear regression on values) of volumes\n", "pearson_r_volume, pearson_p_volume = scipy.stats.pearsonr(df_solar.planet_volume_km3, df_solar.moon_volume_km3)\n", @@ -641,12 +1772,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 41, "metadata": { + "collapsed": false, "scrolled": true }, - "outputs": [], - "source": [ + "outputs": [ + { + "data": { + "text/plain": [ + "(0.453630792978124, 0.029697361455537457)" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ "# spearman correlation (linear regression on ranks) of diameters\n", "spearman_r_diameter, spearman_p_diameter = scipy.stats.spearmanr(df_solar.planet_diameter_km, df_solar.moon_diameter_km)\n", "spearman_r_diameter, spearman_p_diameter" @@ -654,9 +1797,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 42, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.453630792978124, 0.029697361455537457)" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# spearman correlation (linear regression on ranks) of volumes\n", "spearman_r_volume, spearman_p_volume = scipy.stats.spearmanr(df_solar.planet_volume_km3, df_solar.moon_volume_km3)\n", @@ -665,11 +1821,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 43, "metadata": { + "collapsed": false, "scrolled": false }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke/miniconda3/envs/python3/lib/python3.5/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, + { + "data": { + "image/png": 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WarHDCaluk7ORI0di5MiR2L9/Py5evIizZ89i1qxZqK+vR2Ji4kDFSAZYQZYW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\nTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# plot linear regressions\n", "fig, ax = plt.subplots(1, 2, figsize=(10,5))\n", @@ -686,8 +1862,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 44, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# calculate moon diameters and volumes relative to host planets\n", @@ -697,9 +1875,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 45, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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ERITsdrsiIiLcfR9++GE9+uijdZ4nEObh5hrLLVd01F8+33nac265oqNiO7Zt0lj8rbnE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\nry5durTIsVRUVGjmzJnauXOnTCaTnn7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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# plot scatter plots\n", "fig, ax = plt.subplots(1, 2, figsize=(10,5))\n", @@ -717,11 +1908,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 46, "metadata": { + "collapsed": false, "scrolled": true }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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//lrnNkREttQbnDZt2gR/f3+kpqaipKQEI0eOxD333IMpU6YgIiICKSkp2Lp1KyIjIx3V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\nQWhoKFavXo2RI0diyZIlN63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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# plot distributions\n", "fig, ax = plt.subplots(1, 2, figsize=(10,5))\n", @@ -743,11 +1946,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 47, "metadata": { + "collapsed": false, "scrolled": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "[0.27279861874117095]" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# print outliers from the dataset - relative diameter\n", "grubbs.max_test_outliers(df_solar.moon_planet_relative_diameter, alpha=0.05)" @@ -755,9 +1970,44 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 48, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1 0.002950\n", + "2 0.001180\n", + "3 0.034329\n", + "4 0.022357\n", + "5 0.037734\n", + "6 0.025954\n", + "7 0.009617\n", + "8 0.004276\n", + "9 0.001941\n", + "10 0.012330\n", + "11 0.003417\n", + "12 0.001889\n", + "13 0.013120\n", + "14 0.009102\n", + "15 0.044220\n", + "16 0.022869\n", + "17 0.009305\n", + "18 0.030084\n", + "19 0.031149\n", + "20 0.023460\n", + "21 0.006904\n", + "22 0.054931\n", + "Name: moon_planet_relative_diameter, dtype: float64" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# remove outliers - relative diameter\n", "moon_planet_rel_diam_no_outliers = grubbs.test(df_solar.moon_planet_relative_diameter, alpha=0.05)\n", @@ -766,9 +2016,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 49, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[0.02030142397437823]" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# print outliers from the dataset - relative volume (higher alpha)\n", "grubbs.max_test_outliers(df_solar.moon_planet_relative_volume, alpha=0.000005)" @@ -776,9 +2039,44 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 50, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1 2.567989e-08\n", + "2 1.643513e-09\n", + "3 4.045733e-05\n", + "4 1.117482e-05\n", + "5 5.372641e-05\n", + "6 1.748374e-05\n", + "7 8.893628e-07\n", + "8 7.818311e-08\n", + "9 7.307187e-09\n", + "10 1.874512e-06\n", + "11 3.990930e-08\n", + "12 6.740513e-09\n", + "13 2.258369e-06\n", + "14 7.539499e-07\n", + "15 8.646624e-05\n", + "16 1.196006e-05\n", + "17 8.057225e-07\n", + "18 2.722846e-05\n", + "19 3.022253e-05\n", + "20 1.291220e-05\n", + "21 3.291371e-07\n", + "22 1.657455e-04\n", + "Name: moon_planet_relative_volume, dtype: float64" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# remove outliers - relative volume (higher alpha)\n", "moon_planet_rel_vol_no_outliers = grubbs.test(df_solar.moon_planet_relative_volume, alpha=0.000005)\n", @@ -851,9 +2149,62 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 51, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
whalessharks
Atlantic82
Indian15
\n", + "
" + ], + "text/plain": [ + " whales sharks\n", + "Atlantic 8 2\n", + "Indian 1 5" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "f = pd.DataFrame([[8, 2],[1, 5]], \n", " index=['Atlantic', 'Indian'], \n", @@ -870,9 +2221,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 52, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(20.0, 0.03496503496503495)" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "odds_ratio, p_value = scipy.stats.fisher_exact(f, alternative='two-sided')\n", "odds_ratio, p_value" @@ -937,9 +2301,23 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 53, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(3.8095238095238093, 0.050961936967763424, 1, array([[5.625, 4.375],\n", + " [3.375, 2.625]]))" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "chi2, p, dof, expected = scipy.stats.chi2_contingency(f)\n", "chi2, p, dof, expected" @@ -1002,9 +2380,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 54, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.018323558187319684" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "moon_planet_rel_diam_no_outliers.mean()" ] @@ -1018,9 +2409,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 55, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Ttest_1sampResult(statistic=-0.5100116850761494, pvalue=0.6153619635101513)" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "scipy.stats.ttest_1samp(moon_planet_rel_diam_no_outliers, 0.02)" ] @@ -1034,9 +2438,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 56, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Ttest_1sampResult(statistic=-77.47835937736278, pvalue=2.6973888513820512e-27)" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "scipy.stats.ttest_1samp(moon_planet_rel_diam_no_outliers, 0.273)" ] @@ -1084,8 +2501,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 57, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# create sample data\n", @@ -1096,9 +2515,19 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 58, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ttest_ind: t = -9.86068, p = 7.14488e-16\n" + ] + } + ], "source": [ "# scipy.stats.ttest_ind (t-test for the means of two independent samples)\n", "t, p = scipy.stats.ttest_ind(a, b, equal_var=False)\n", @@ -1107,8 +2536,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 59, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# compute the descriptive statistics of a and b\n", @@ -1125,9 +2556,19 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 60, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ttest_ind_from_stats: t = -9.86068, p = 7.14488e-16\n" + ] + } + ], "source": [ "# scipy.stats.ttest_ind_from_stats (t-test for the means of two independent samples from descriptive stats)\n", "t2, p2 = scipy.stats.ttest_ind_from_stats(abar, np.sqrt(avar), na,\n", @@ -1138,8 +2579,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 61, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# use the formulas directly\n", @@ -1150,11 +2593,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 62, "metadata": { + "collapsed": false, "scrolled": true }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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fbwsuf3hsKSnEWEgIi3Gp6bJj0isUJcdqXUpEijXquWNxFooCn9tSQ79r/PeH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\nO9hnP8pAwEGy3sLy+DnE66Z3r8BUWDv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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# plot the distributions\n", "sns.distplot(a, bins=10, label='a')\n", @@ -1225,8 +2680,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 63, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "tillamook = [0.0571, 0.0813, 0.0831, 0.0976, 0.0817, 0.0859, 0.0735, 0.0659, 0.0923, 0.0836]\n", @@ -1238,9 +2695,30 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 64, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke/miniconda3/envs/python3/lib/python3.5/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, + { + "data": { + "image/png": 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f1pzNKMbAQc4qhOhNknxFTGqDrWzz1jPMnkamxdFr1ykyOLnBNh4VhccDa1kf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\nTE3gT3ON+A1w7J4Ith4W3rAbrAw7xNC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guqrHFWfCyA66ghY270ohYYlTm1lNQo3jD6SR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\n4bM1EUr4+KD2U1QEpjCQ2+pZO5vIWvMfnE0VGKpG06SLaR991mlv7X4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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "sns.distplot(tillamook, label='Tillamook')\n", "sns.distplot(newport, label='Newport')\n", @@ -1252,9 +2730,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 65, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "F_onewayResult(statistic=7.121019471642447, pvalue=0.0002812242314534544)" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "scipy.stats.f_oneway(tillamook, newport, petersburg, magadan, tvarminne)" ] @@ -1278,109 +2769,1193 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Microbiome analysis" + "### Machine learning with scikit-learn\n", + "\n", + "Learn more about scikit-learn and see examples at https://scikit-learn.org." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "This last lesson is taken from the documentation for [Scikit-bio](http://scikit-bio.org/docs/latest/). The package `skbio.diversity` provides diversity measures for OTU tables. OTUs are \"operational taxonomic units\"; you can think of them as taxa or species." + "#### Random forests\n", + "\n", + "Example borrowed from [Chris Albon](https://chrisalbon.com/machine_learning/trees_and_forests/random_forest_classifier_example/) and [Yhat](http://blog.yhat.com/posts/random-forests-in-python.html)." ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "from skbio.diversity import alpha_diversity\n", - "from skbio import TreeNode\n", - "from io import StringIO\n", - "from skbio.diversity import beta_diversity\n", - "from skbio.stats.distance import mantel\n", - "from skbio.stats.ordination import pcoa\n", - "from skbio.stats.distance import anosim" + "Preliminaries:" ] }, { - "cell_type": "markdown", - "metadata": {}, + "cell_type": "code", + "execution_count": 66, + "metadata": { + "collapsed": true + }, + "outputs": [], "source": [ - "Create a matrix containing 6 samples (rows) and 7 OTUs (columns):" + "# Load the library with the iris dataset\n", + "from sklearn.datasets import load_iris\n", + "\n", + "# Load scikit's random forest classifier library\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "\n", + "# Set random seed\n", + "np.random.seed(0)" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "data = [[23, 64, 14, 0, 0, 3, 1],\n", - " [0, 3, 35, 42, 0, 12, 1],\n", - " [0, 5, 5, 0, 40, 40, 0],\n", - " [44, 35, 9, 0, 1, 0, 0],\n", - " [0, 2, 8, 0, 35, 45, 1],\n", - " [0, 0, 25, 35, 0, 19, 0]]\n", - "ids = list('ABCDEF')" + "Load data:" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 67, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " sepal length (cm) sepal width (cm) petal length (cm) petal width (cm) \\\n", + "0 5.1 3.5 1.4 0.2 \n", + "1 4.9 3.0 1.4 0.2 \n", + "2 4.7 3.2 1.3 0.2 \n", + "3 4.6 3.1 1.5 0.2 \n", + "4 5.0 3.6 1.4 0.2 \n", + "\n", + " species \n", + "0 setosa \n", + "1 setosa \n", + "2 setosa \n", + "3 setosa \n", + "4 setosa " + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "ids" + "# Add a new column with the species names, this is what we are going to try to predict\n", + "df['species'] = pd.Categorical.from_codes(iris.target, iris.target_names)\n", + "\n", + "# View the top 5 rows\n", + "df.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Alpha-diversity" + "Create training and test data:" ] }, { - "cell_type": "markdown", - "metadata": {}, + "cell_type": "code", + "execution_count": 69, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " sepal length (cm) sepal width (cm) petal length (cm) petal width (cm) \\\n", + "0 5.1 3.5 1.4 0.2 \n", + "1 4.9 3.0 1.4 0.2 \n", + "2 4.7 3.2 1.3 0.2 \n", + "3 4.6 3.1 1.5 0.2 \n", + "4 5.0 3.6 1.4 0.2 \n", + "\n", + " species is_train \n", + "0 setosa True \n", + "1 setosa True \n", + "2 setosa True \n", + "3 setosa True \n", + "4 setosa True " + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "First, we’ll compute observed OTUs, an alpha diversity metric, for each sample using the alpha_diversity driver function:" + "# Create a new column that for each row, generates a random number between 0 and 1, and\n", + "# if that value is less than or equal to .75, then sets the value of that cell as True\n", + "# and false otherwise. This is a quick and dirty way of randomly assigning some rows to\n", + "# be used as the training data and some as the test data.\n", + "df['is_train'] = np.random.uniform(0, 1, len(df)) <= .75\n", + "\n", + "# View the top 5 rows\n", + "df.head()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 70, "metadata": { - "scrolled": false + "collapsed": true }, "outputs": [], "source": [ - "adiv_obs_otus = alpha_diversity('observed_otus', data, ids)\n", - "adiv_obs_otus" + "# Create two new dataframes, one with the training rows, one with the test rows\n", + "train, test = df[df['is_train']==True], df[df['is_train']==False]" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of observations in the training data: 118\n", + "Number of observations in the test data: 32\n" + ] + } + ], + "source": [ + "# Show the number of observations for the test and training dataframes\n", + "print('Number of observations in the training data:', len(train))\n", + "print('Number of observations in the test data:',len(test))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Next we’ll compute Faith’s PD on the same samples. Since this is a phylogenetic diversity metric, we’ll first create a tree and an ordered list of OTU identifiers." + "Preprocess the data:" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 72, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)',\n", + " 'petal width (cm)'],\n", + " dtype='object')" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Create a list of the feature column's names\n", + "features = df.columns[:4]\n", + "\n", + "# View features\n", + "features" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", + " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1,\n", + " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", + " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2,\n", + " 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n", + " 2, 2, 2, 2, 2, 2, 2, 2])" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# train['species'] contains the actual species names. Before we can use it,\n", + "# we need to convert each species name into a digit. So, in this case there\n", + "# are three species, which have been coded as 0, 1, or 2.\n", + "y = pd.factorize(train['species'])[0]\n", + "\n", + "# View target\n", + "y" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Train the random forest classifier:" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke/miniconda3/envs/python3/lib/python3.5/site-packages/sklearn/ensemble/forest.py:248: FutureWarning: The default value of n_estimators will change from 10 in version 0.20 to 100 in 0.22.\n", + " \"10 in version 0.20 to 100 in 0.22.\", FutureWarning)\n" + ] + }, + { + "data": { + "text/plain": [ + "RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n", + " max_depth=None, max_features='auto', max_leaf_nodes=None,\n", + " min_impurity_decrease=0.0, min_impurity_split=None,\n", + " min_samples_leaf=1, min_samples_split=2,\n", + " min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=2,\n", + " oob_score=False, random_state=0, verbose=0, warm_start=False)" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Create a random forest Classifier. By convention, clf means 'Classifier'\n", + "clf = RandomForestClassifier(n_jobs=2, random_state=0)\n", + "\n", + "# Train the Classifier to take the training features and learn how they relate\n", + "# to the training y (the species)\n", + "clf.fit(train[features], y)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we have trained our random forest classifier! The classifier model itself is stored in the `clf` variable." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Apply classifier to test data:" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 2, 2, 1, 1, 2, 2,\n", + " 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Apply the Classifier we trained to the test data (which, remember, it has never seen before)\n", + "clf.predict(test[features])" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[1., 0., 0.],\n", + " [1., 0., 0.],\n", + " [1., 0., 0.],\n", + " [1., 0., 0.],\n", + " [1., 0., 0.],\n", + " [1., 0., 0.],\n", + " [1., 0., 0.],\n", + " [1., 0., 0.],\n", + " [1., 0., 0.],\n", + " [1., 0., 0.]])" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# View the predicted probabilities of the first 10 observations\n", + "clf.predict_proba(test[features])[0:10]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Evaluate classifier:" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Create actual English names for the plants for each predicted plant class\n", + "preds = iris.target_names[clf.predict(test[features])]" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['setosa', 'setosa', 'setosa', 'setosa', 'setosa'], dtype='\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Predicted Speciessetosaversicolorvirginica
Actual Species
setosa1300
versicolor052
virginica0012
\n", + "" + ], + "text/plain": [ + "Predicted Species setosa versicolor virginica\n", + "Actual Species \n", + "setosa 13 0 0\n", + "versicolor 0 5 2\n", + "virginica 0 0 12" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Create confusion matrix\n", + "pd.crosstab(test['species'], preds, rownames=['Actual Species'], colnames=['Predicted Species'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "View feature importance. We get a score telling us how important each feature was in classifying. This is one of the most powerful parts of random forests, because we can clearly see that petal width was more important in classification than sepal width:" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[('sepal length (cm)', 0.11185992930506346),\n", + " ('sepal width (cm)', 0.016341813006098178),\n", + " ('petal length (cm)', 0.36439533040889194),\n", + " ('petal width (cm)', 0.5074029272799464)]" + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# View a list of the features and their importance scores\n", + "list(zip(train[features], clf.feature_importances_))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### K-means clustering\n", + "\n", + "Based on a tutorial on K-means clustering by [Scott Robinson](https://stackabuse.com/k-means-clustering-with-scikit-learn/)." + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "from sklearn.cluster import KMeans" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Create a 2-dimensional array and plot it:" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "X = np.array([[5,3],\n", + " [10,15],\n", + " [15,12],\n", + " [24,10],\n", + " [30,45],\n", + " [85,70],\n", + " [71,80],\n", + " [60,78],\n", + " [55,52],\n", + " [80,91]])" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(X[:,0],X[:,1], label='True Position');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Create a K-means cluster with two clusters:" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,\n", + " n_clusters=2, n_init=10, n_jobs=None, precompute_distances='auto',\n", + " random_state=None, tol=0.0001, verbose=0)" + ] + }, + "execution_count": 85, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# In the first line, you create a KMeans object and pass it 2 as value for n_clusters parameter. \n", + "# Next, you simply have to call the fit method on kmeans and pass the data that you want to cluster.\n", + "kmeans = KMeans(n_clusters=2) \n", + "kmeans.fit(X) " + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[70.2 74.2]\n", + " [16.8 17. ]]\n" + ] + } + ], + "source": [ + "# The first row contains values for the coordinates of the first centroid.\n", + "# The second row contains values for the coordinates of the other centroid.\n", + "print(kmeans.cluster_centers_)" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1 1 1 1 1 0 0 0 0 0]\n" + ] + } + ], + "source": [ + "# The labels are a one dimensional array of 10 elements corresponding to the clusters assigned to our 10 data points.\n", + "print(kmeans.labels_)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plot the results colored by cluster labels:" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(X[:,0],X[:,1], c=kmeans.labels_, cmap='rainbow');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here's what we get with 3 clusters:" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "kmeans = KMeans(n_clusters=3)\n", + "kmeans.fit(X)\n", + "plt.scatter(X[:,0],X[:,1], c=kmeans.labels_, cmap='rainbow');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Microbiome analysis with scikit-bio" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This last lesson is taken from the documentation for [Scikit-bio](http://scikit-bio.org/docs/latest/). The package `skbio.diversity` provides diversity measures for OTU tables. OTUs are \"operational taxonomic units\"; you can think of them as taxa or species.\n", + "\n", + "First, you will have to install Scikit-bio:\n", + "\n", + "```\n", + "conda install -c https://conda.anaconda.org/biocore scikit-bio\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "from skbio.diversity import alpha_diversity\n", + "from skbio import TreeNode\n", + "from io import StringIO\n", + "from skbio.diversity import beta_diversity\n", + "from skbio.stats.distance import mantel\n", + "from skbio.stats.ordination import pcoa\n", + "from skbio.stats.distance import anosim" + ] + }, + { + "cell_type": "markdown", "metadata": {}, + "source": [ + "Create a matrix containing 6 samples (rows) and 7 OTUs (columns):" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": { + "collapsed": true + }, "outputs": [], + "source": [ + "data = [[23, 64, 14, 0, 0, 3, 1],\n", + " [0, 3, 35, 42, 0, 12, 1],\n", + " [0, 5, 5, 0, 40, 40, 0],\n", + " [44, 35, 9, 0, 1, 0, 0],\n", + " [0, 2, 8, 0, 35, 45, 1],\n", + " [0, 0, 25, 35, 0, 19, 0]]\n", + "ids = list('ABCDEF')" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[[23, 64, 14, 0, 0, 3, 1],\n", + " [0, 3, 35, 42, 0, 12, 1],\n", + " [0, 5, 5, 0, 40, 40, 0],\n", + " [44, 35, 9, 0, 1, 0, 0],\n", + " [0, 2, 8, 0, 35, 45, 1],\n", + " [0, 0, 25, 35, 0, 19, 0]]" + ] + }, + "execution_count": 92, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['A', 'B', 'C', 'D', 'E', 'F']" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ids" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Alpha-diversity" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, we’ll compute observed OTUs, an alpha diversity metric, for each sample using the alpha_diversity driver function:" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "A 5\n", + "B 5\n", + "C 4\n", + "D 4\n", + "E 5\n", + "F 3\n", + "dtype: int64" + ] + }, + "execution_count": 94, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "adiv_obs_otus = alpha_diversity('observed_otus', data, ids)\n", + "adiv_obs_otus" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next we’ll compute Faith’s PD on the same samples. Since this is a phylogenetic diversity metric, we’ll first create a tree and an ordered list of OTU identifiers." + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "A 6.75\n", + "B 7.00\n", + "C 6.25\n", + "D 5.75\n", + "E 6.75\n", + "F 5.50\n", + "dtype: float64" + ] + }, + "execution_count": 95, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "tree = TreeNode.read(StringIO(\n", " '(((((OTU1:0.5,OTU2:0.5):0.5,OTU3:1.0):1.0):0.0,'\n", @@ -1407,9 +3982,28 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 96, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "6x6 distance matrix\n", + "IDs:\n", + "'A', 'B', 'C', 'D', 'E', 'F'\n", + "Data:\n", + "[[0. 0.78787879 0.86666667 0.30927835 0.85714286 0.81521739]\n", + " [0.78787879 0. 0.78142077 0.86813187 0.75 0.1627907 ]\n", + " [0.86666667 0.78142077 0. 0.87709497 0.09392265 0.71597633]\n", + " [0.30927835 0.86813187 0.87709497 0. 0.87777778 0.89285714]\n", + " [0.85714286 0.75 0.09392265 0.87777778 0. 0.68235294]\n", + " [0.81521739 0.1627907 0.71597633 0.89285714 0.68235294 0. ]]\n" + ] + } + ], "source": [ "bc_dm = beta_diversity(\"braycurtis\", data, ids)\n", "print(bc_dm)" @@ -1424,9 +4018,28 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 97, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "6x6 distance matrix\n", + "IDs:\n", + "'A', 'B', 'C', 'D', 'E', 'F'\n", + "Data:\n", + "[[0. 2.77549923 3.82857143 0.42512039 3.8547619 3.10937312]\n", + " [2.77549923 0. 2.26433692 2.98435423 2.24270353 0.46774194]\n", + " [3.82857143 2.26433692 0. 3.95224719 0.16025641 1.86111111]\n", + " [0.42512039 2.98435423 3.95224719 0. 3.98796148 3.30870431]\n", + " [3.8547619 2.24270353 0.16025641 3.98796148 0. 1.82967033]\n", + " [3.10937312 0.46774194 1.86111111 3.30870431 1.82967033 0. ]]\n" + ] + } + ], "source": [ "wu_dm = beta_diversity(\"weighted_unifrac\", data, ids, tree=tree, otu_ids=otu_ids)\n", "print(wu_dm)" @@ -1441,9 +4054,21 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 98, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.9224043920928952\n", + "0.001\n", + "True\n" + ] + } + ], "source": [ "r, p_value, n = mantel(wu_dm, bc_dm)\n", "print(r)\n", @@ -1461,9 +4086,36 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 99, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ordination results:\n", + "\tMethod: Principal Coordinate Analysis (PCoA)\n", + "\tEigvals: 6\n", + "\tProportion explained: 6\n", + "\tFeatures: N/A\n", + "\tSamples: 6x6\n", + "\tBiplot Scores: N/A\n", + "\tSample constraints: N/A\n", + "\tFeature IDs: N/A\n", + "\tSample IDs: 'A', 'B', 'C', 'D', 'E', 'F'\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke/miniconda3/envs/python3/lib/python3.5/site-packages/skbio/stats/ordination/_principal_coordinate_analysis.py:111: RuntimeWarning: The result contains negative eigenvalues. Please compare their magnitude with the magnitude of some of the largest positive eigenvalues. If the negative ones are smaller, it's probably safe to ignore them, but if they are large in magnitude, the results won't be useful. See the Notes section for more details. The smallest eigenvalue is -0.011492611219229593 and the largest is 16.021722090908206.\n", + " RuntimeWarning\n" + ] + } + ], "source": [ "wu_pc = pcoa(wu_dm)\n", "print(wu_pc)" @@ -1478,9 +4130,86 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 100, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " body_site subject\n", + "A gut s1\n", + "B skin s1\n", + "C tongue s1\n", + "D gut s2\n", + "E tongue s2\n", + "F skin s2" + ] + }, + "execution_count": 100, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sample_md = [\n", " ('A', ['gut', 's1']),\n", @@ -1502,9 +4231,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 101, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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o+Obn5zE6OmqeH6spLS8st4oDL6cUbCa6UQw1qh8UI0KpVAqapiEajW4439aa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\nS47jLHuiF1gp27bV1NSkpqYmd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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "sns.set_style('white')\n", "fig = wu_pc.plot(sample_md, 'subject',\n", @@ -1521,9 +4263,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 102, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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i8bghILds2bIm/eTW2prZliggp6am0N/fb5wfs8kyL/Q3iw0np3isJzpRXNWr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\nzikS4SkWi1AUBcvLy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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig = wu_pc.plot(sample_md, 'body_site',\n", " axis_labels=('PC 1', 'PC 2', 'PC 3'),\n", @@ -1541,8 +4296,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 103, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "results = anosim(wu_dm, sample_md, column='subject', permutations=999)" @@ -1550,27 +4307,73 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 104, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "method name ANOSIM\n", + "test statistic name R\n", + "sample size 6\n", + "number of groups 2\n", + "test statistic -0.333333\n", + "p-value 1\n", + "number of permutations 999\n", + "Name: ANOSIM results, dtype: object" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "results" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 105, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "-0.3333333333333333" + ] + }, + "execution_count": 105, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "results['test statistic']" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 106, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 106, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "results['p-value'] < 0.1" ] @@ -1586,8 +4389,10 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 107, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "results = anosim(wu_dm, sample_md, column='body_site', permutations=999)" @@ -1595,29 +4400,74 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 108, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "method name ANOSIM\n", + "test statistic name R\n", + "sample size 6\n", + "number of groups 3\n", + "test statistic 1\n", + "p-value 0.062\n", + "number of permutations 999\n", + "Name: ANOSIM results, dtype: object" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "results" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 109, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1.0" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "results['test statistic']" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 110, "metadata": { + "collapsed": false, "scrolled": true }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 110, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "results['p-value'] < 0.1" ] @@ -1645,9 +4495,100 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 111, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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body_sitesubjectObserved OTUsFaith PD
Aguts156.75
Bskins157.00
Ctongues146.25
Dguts245.75
Etongues256.75
Fskins235.50
\n", + "
" + ], + "text/plain": [ + " body_site subject Observed OTUs Faith PD\n", + "A gut s1 5 6.75\n", + "B skin s1 5 7.00\n", + "C tongue s1 4 6.25\n", + "D gut s2 4 5.75\n", + "E tongue s2 5 6.75\n", + "F skin s2 3 5.50" + ] + }, + "execution_count": 111, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sample_md['Observed OTUs'] = adiv_obs_otus\n", "sample_md['Faith PD'] = adiv_faith_pd\n", @@ -1663,9 +4604,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 112, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig = sample_md.boxplot(column='Faith PD', by='body_site')" ] @@ -1679,9 +4633,62 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 113, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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Many packages provide statistical support: Pandas, Numpy, Scipy, and Scikit-Learn.\n", + "### Readings\n", + "\n", + "* [Handbook of Biological Statistics](http://www.biostathandbook.com)\n", + "\n", + "### Table of Contents\n", + "\n", + "* [Basic statistics](#basic)\n", + "* [Regression analysis and outliers](#regression)\n", + "* [Tests of independence](#independence)\n", + "* [Analysis of variance](#anova)\n", + "* [Machine learning](#machine)\n", + "* [Microbiome analysis](#microbiome)\n", + "\n", + "In this lesson we'll consider some of the various statistics tools available in Python. Many packages provide statistical support: Pandas, Numpy, Scipy, and Scikit-learn.\n", "\n", "You will probably have to install `scikit-learn` (`sklearn`) and `outlier_utils` (`outliers`) before proceeding:\n", "\n", @@ -54,13 +67,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Basic statistics" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "### Basic statistics\n", + "\n", "#### Basic stats with Pandas" ] }, @@ -68,7 +78,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "A large number of methods for computing descriptive statistics and other related operations on Series, DataFrame, and Panel. Most of these are aggregations (hence producing a lower-dimensional result) like `sum()`, `mean()`, and `quantile()`, but some of them, like `cumsum()` and `cumprod()`, produce an object of the same size. Generally speaking, these methods take an axis argument, just like `ndarray.{sum, std, ...}`, but the axis can be specified by name or integer:\n", + "Pandas provides several methods for computing descriptive statistics and other related operations on Series, DataFrame, and Panel objects. Most of these are aggregations (hence producing a lower-dimensional result) like `sum()`, `mean()`, and `quantile()`, but some of them, like `cumsum()` and `cumprod()`, produce an object of the same size. Generally speaking, these methods take an axis argument:\n", "\n", "* Series: no axis argument needed\n", "* DataFrame: β€œindex” (axis=0, default), β€œcolumns” (axis=1)\n", @@ -113,7 +123,7 @@ }, "outputs": [], "source": [ - "# format the data: covert to datetime, average precipitation per month, get month and year, reset index\n", + "# import data with dates parsed, calculate average precipitation per month, get month and year, reset index\n", "df = pd.read_csv('../data/la_jolla_precip_monthly.csv', parse_dates=['DATE'])\n", "df = df.groupby('DATE').mean()\n", "df['MONTH'] = [x.month for x in df.index]\n", @@ -244,7 +254,7 @@ "data": { "image/png": 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1+90uehxmMwetShKMBvPSRYTl/SIZ4vZUcbPriUKNYqCbFkzbiaSxh3XR712d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\nDy8UMRxXfHn0ZrzVHZv7L0da56GfPLaMpbKBay5ci7XpGO5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ohtkMQAzAPEx27yyF0EN21yEbLGRNngo3FFQdMUW0o2E5zteuVtF0w47IkIcc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\nZ7K47nvP2t2V/o/vP4cjy0X86Rs24arzJ3FosYAnj5t/t6j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CrkiDniO/v4U0L/d0Hzp9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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -411,7 +421,7 @@ } ], "source": [ - "# describe\n", + "# describe gives basic statistics\n", "df.describe()" ] }, @@ -503,7 +513,7 @@ } ], "source": [ - "# min\n", + "# min and idxmin\n", "df.PRCP.min(), df.PRCP.idxmin()" ] }, @@ -526,7 +536,7 @@ } ], "source": [ - "# max (with rounding)\n", + "# max (with rounding) and idxmax\n", "df.PRCP.max(), df.PRCP.max().round(), df.PRCP.idxmax()" ] }, @@ -630,13 +640,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Regression analysis" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "### Regression analysis\n", + "\n", "#### Regression with Seaborn" ] }, @@ -645,7 +652,7 @@ "execution_count": 15, "metadata": { "collapsed": false, - "scrolled": true + "scrolled": false }, "outputs": [ { @@ -659,7 +666,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 15, @@ -668,9 +675,9 @@ }, { "data": { - "image/png": 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R80I865PdOjo6sHTpUixatAjf/e53cfz4cZSUlAAA5s6dizVr1iR9jy+/HEzL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\nT8W/vdYGiyX6c/06w2/7nH2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skT/00ENYvXo1Dhw4gLPPPhs//elPMWbMmOMuyJYtW/CHP/wBADA4OIi9e/fit7/9LW6+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\nP8hAYrYbXKQ0AAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -678,6 +685,7 @@ } ], "source": [ + "# regression with order=1 (linear)\n", "sns.regplot(x='MONTH', y='PRCP', data=df, order=1)" ] }, @@ -700,7 +708,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 16, @@ -709,9 +717,9 @@ }, { "data": { - "image/png": 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IlGQ02Ea2ua23QY+fJSUlnXLdbDafcjQtmpod3rCsKxAREUWLP3ObG74Rbm7rbcCpdaVS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\nmob169dj9OjRePLJJwEAt956K5YtWzZo+2T3MyIioiTGU+t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Hokl25OXZ0Nzcd7a60z+y5LbeBhyRv/zyy/j973+PsrKy6LW5c+fimWeewYYNG1RrxFC1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\n1mHpTkJCAuLj4wEA/fr1gyiKkCRJ46j0a9SoUTh27BgA4OD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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -719,6 +727,7 @@ } ], "source": [ + "# regression with order=2 (parabolic)\n", "sns.regplot(x='MONTH', y='PRCP', data=df, order=2)" ] }, @@ -751,7 +760,7 @@ }, "outputs": [], "source": [ - "# 1st order with np.polyfit\n", + "# linear (1st order) with np.polyfit\n", "m, b = np.polyfit(df.MONTH, df.PRCP, 1)" ] }, @@ -767,7 +776,7 @@ "data": { "image/png": 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GHMh//dd/3ev17NmztWvXrvMuUKFriMR0vJ99UI+3dO6DevGokXkuFQDAdExoZllZwCOP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\nRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -820,7 +829,7 @@ }, "outputs": [], "source": [ - "# 2nd order with np.polyfit\n", + "# parabolic (2nd order) with np.polyfit\n", "p = np.polyfit(df.MONTH, df.PRCP, 2)" ] }, @@ -843,7 +852,7 @@ } ], "source": [ - "# values of p are in decending orders\n", + "# values of p are in decending order\n", "p" ] }, @@ -876,7 +885,7 @@ } ], "source": [ - "# create a finely spaced array\n", + "# create a finely spaced x array\n", "x1 = np.linspace(1,12)\n", "x1" ] @@ -909,7 +918,7 @@ } ], "source": [ - "# calculate the y vector for the fit curve \n", + "# calculate the y array for the fit curve \n", "y1 = np.polyval(p, x1)\n", "y1" ] @@ -926,7 +935,7 @@ "data": { "image/png": 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S1N3bC+2Zr09dtg/qucp6/OXbs6ivt7h1H1RvxvEs5zBOzmGcOscYOceTY8jdTshnz55F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\nEREJgAmZiIhIAP8fCkCnNlPUV6gAAAAASUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -934,6 +943,7 @@ } ], "source": [ + "# plot data then curve\n", "plt.scatter(df.MONTH, df.PRCP)\n", "plt.plot(x1, y1, '-');" ] @@ -958,6 +968,7 @@ }, "outputs": [], "source": [ + "# generate curve with polyval\n", "y1 = np.polyval(p, x1)" ] }, @@ -973,7 +984,7 @@ "data": { "image/png": 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N6caaA7Vej605UIunb8oN2d6aREQUPgYcyD/60Y/OeV1UVIQ1a9ZccoHCXWVrB6wOj9dj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\nGhsbg3puBnKQbNiwAbGxsXjzzTfx2mu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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -981,6 +992,7 @@ } ], "source": [ + "# plot data then curve\n", "plt.scatter(df.MONTH, df.PRCP)\n", "plt.plot(x1, y1, '-');" ] @@ -989,7 +1001,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### Fitting time series to a sinusoidal wave" + "#### Fitting time series to a sinusoidal wave\n", + "\n", + "First, a refresher on sine waves:" ] }, { @@ -1003,7 +1017,7 @@ "data": { "image/png": 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ZuwYrSws4HzzuytOtyLAmYG+jk9UljdNsEt7NUXtMzR9Kwhy5a5Esy9jT4ESG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\nRiIky9he68CEZCOmZPDoQvo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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1011,21 +1025,29 @@ } ], "source": [ - "# sine wave refresher\n", + "# initialize sine wave parameters\n", "period = 4*np.pi\n", "freq = (2*np.pi)/period\n", "phase = 0\n", "amplitude = .5\n", "offset = 1\n", + "# generate x and y arrays for sine wave\n", "x1 = np.linspace(0, 24, num=2000)\n", "y1 = np.sin(x1 * freq + phase) * amplitude + offset\n", - "\n", + "# plot sine wave\n", "fig, ax = plt.subplots()\n", "ax.plot(x1, y1)\n", "ax.set_xticks([2*np.pi, 4*np.pi, 6*np.pi])\n", "ax.set_xticklabels(['2$\\pi$', '4$\\pi$', '6$\\pi$']);" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Fit a sine wave to the monthly precipitaiton data:" + ] + }, { "cell_type": "code", "execution_count": 29, @@ -1133,7 +1155,7 @@ } ], "source": [ - "# we are going to use the numerical index for our \"t\" variable\n", + "# we are going to use the numerical index for our \"t\" variable;\n", "# make sure our index is sequential (December 2008 is zero)\n", "df.sort_index(inplace=True)\n", "df.head()" @@ -1150,7 +1172,7 @@ "data": { "image/png": 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ORqe4a9Y/A5msaMxmFWW+Vy8OZUVnMSjU/rXFtCd4Po/pfP1WdaqVsGdVBVQV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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1201,7 +1223,7 @@ }, "outputs": [], "source": [ - "# create the function we want to fit\n", + "# create a function that returns the curve to fit our data to\n", "def my_sin(x, freq, amplitude, phase, offset):\n", " return np.sin(x * freq + phase) * amplitude + offset" ] @@ -1210,11 +1232,11 @@ "cell_type": "code", "execution_count": 34, "metadata": { - "collapsed": true + "collapsed": false }, "outputs": [], "source": [ - "# now do the fit\n", + "# now fit the curve to the data using scipy.optimize.curve_fit\n", "fit = scipy.optimize.curve_fit(my_sin, t, data, p0=p0)" ] }, @@ -1254,7 +1276,7 @@ "data": { "image/png": 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b7Wy+H38brw65mlC9kSd2f0uxvSLQRWyWDzN3MPKLf3HAms8tPUfx5TlzeCHt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\nM20YN0U2Z0deMpdMBT6/o2yeRObNjxJmLuCTc1voofe92UwURcxbPsJ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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1273,14 +1295,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### Regression with Scipy" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example: Moons of the Solar System" + "#### Regression with Scipy\n", + "\n", + "##### Example: Moons of the Solar System\n", + "\n", + "I retrieved moon and planet data from Wikipedia for 23 of the largest moons (there are dozens more!) and saved them as Excel files." ] }, { @@ -1686,11 +1705,15 @@ } ], "source": [ + "# import moon and planet data excel files\n", "df_moons = pd.read_excel('../data/moons.xlsx')\n", "df_planets = pd.read_excel('../data/planets.xlsx')\n", + "# merge moon and planet data on planet_name\n", "df_solar = pd.merge(df_moons, df_planets, left_on='planet_name', right_on='planet_name')\n", + "# add columns for moon and planet volume\n", "df_solar['moon_volume_km3'] = 4/3*np.pi*(df_solar.moon_diameter_km/2)**3\n", "df_solar['planet_volume_km3'] = 4/3*np.pi*(df_solar.planet_diameter_km/2)**3\n", + "# view the dataframe\n", "df_solar" ] }, @@ -1705,6 +1728,7 @@ "cell_type": "raw", "metadata": {}, "source": [ + "# convert cell to code to learn more about pearsonr (values correlation)\n", "scipy.stats.pearsonr?" ] }, @@ -1767,6 +1791,7 @@ "cell_type": "raw", "metadata": {}, "source": [ + "# convert cell to code to learn more about spearmanr (rank-order correlation)\n", "scipy.stats.spearmanr?" ] }, @@ -1837,9 +1862,9 @@ }, { "data": { - "image/png": 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WarHDCaluk7ORI0di5MiR2L9/Py5evIizZ89i1qxZqK+vR2Ji4kDFSAZYQZYW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\nS0BAALRaLR5//HEsX74c6enpbo9j0qRJEIvF9seuar8zcTWPpTGJP3b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n1a04qtPjZE0bHNuHpt7irFmzMGHCBFRUVIDnefz2t7/FsGHDvHqtXq/HokWL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\n3Edl+SHqqlrqbt0sFcEBrUvz8K0LT4tsNoieEjNiSy6bPUy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ERITsdrsiIiLcfR9++GE9+uijdZ4nEObh5hrLLVd01F8+33nac265oqNiO7Zt0lj8rbnE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\nry5durTIsVRUVGjmzJnauXOnTCaTnn7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//lrnNkREttQbnDZt2gR/f3+kpqaipKQEI0eOxD333IMpU6YgIiICKSkp2Lp1KyIjIx3V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\noFevXqioqEBZWZmkccfGxiIvLw9PPfU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W9ejRQ927d5ckGWPk7e19/QMH4NHomwC4A0UZgDLJ4XAoODjY9drb21tZWVmy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\nSErXuLtvUtvalawOyTIta4bq+c4NdDY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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1927,10 +1952,21 @@ ], "source": [ "# plot distributions\n", - "fig, ax = plt.subplots(1, 2, figsize=(10,5))\n", + "fig, ax = plt.subplots(1, 3, figsize=(15,5))\n", "sns.distplot(df_solar.moon_planet_relative_diameter, rug=True, bins=20, ax=ax[0])\n", - "sns.distplot(df_solar.moon_planet_relative_volume, hist=False, kde=False, rug=True, bins=20, ax=ax[1]);\n", - "ax[1].set_xscale('log')" + "sns.distplot(df_solar.moon_planet_relative_volume, hist=False, kde=False, rug=True, bins=20, ax=ax[1])\n", + "sns.distplot(df_solar.moon_planet_relative_volume, hist=False, kde=False, rug=True, bins=20, ax=ax[2])\n", + "ax[0].set_title('a. Relative diameter')\n", + "ax[1].set_title('b. Relative volume')\n", + "ax[2].set_title('c. Relative volume (log-scale)')\n", + "ax[2].set_xscale('log');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The relative volume of the Moon to the Earth is ~100x greater than any other moon–planet pair in the Solar System!" ] }, { @@ -1944,6 +1980,13 @@ "`outlier_utils` is a library for detecting and removing outliers using Grubbs's test." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Outliers in relative diameter:" + ] + }, { "cell_type": "code", "execution_count": 47, @@ -1964,8 +2007,9 @@ } ], "source": [ - "# print outliers from the dataset - relative diameter\n", - "grubbs.max_test_outliers(df_solar.moon_planet_relative_diameter, alpha=0.05)" + "# print outliers from the dataset with grubbs.max_test_outliers\n", + "outliers_diameter = grubbs.max_test_outliers(df_solar.moon_planet_relative_diameter, alpha=0.05)\n", + "outliers_diameter" ] }, { @@ -1974,6 +2018,90 @@ "metadata": { "collapsed": false }, + "outputs": [ + { + "data": { + "text/html": [ + "
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0MoonEarth384000347612742149597870.71.02.199064e+101.083207e+120.2727990.020301
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" + ], + "text/plain": [ + " moon_name planet_name moon_planet_distance_km moon_diameter_km \\\n", + "0 Moon Earth 384000 3476 \n", + "\n", + " planet_diameter_km planet_sun_distance_km planet_sun_distance_au \\\n", + "0 12742 149597870.7 1.0 \n", + "\n", + " moon_volume_km3 planet_volume_km3 moon_planet_relative_diameter \\\n", + "0 2.199064e+10 1.083207e+12 0.272799 \n", + "\n", + " moon_planet_relative_volume \n", + "0 0.020301 " + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# which moon does this value correspond to?\n", + "df_solar[df_solar.moon_planet_relative_diameter == outliers_diameter[0]]" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "collapsed": false + }, "outputs": [ { "data": { @@ -2003,20 +2131,27 @@ "Name: moon_planet_relative_diameter, dtype: float64" ] }, - "execution_count": 48, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# remove outliers - relative diameter\n", + "# remove outliers with grubbs.test\n", "moon_planet_rel_diam_no_outliers = grubbs.test(df_solar.moon_planet_relative_diameter, alpha=0.05)\n", "moon_planet_rel_diam_no_outliers" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Outliers in relative volume:" + ] + }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 50, "metadata": { "collapsed": false }, @@ -2027,19 +2162,104 @@ "[0.02030142397437823]" ] }, - "execution_count": 49, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# print outliers from the dataset - relative volume (higher alpha)\n", - "grubbs.max_test_outliers(df_solar.moon_planet_relative_volume, alpha=0.000005)" + "# print outliers from the dataset with grubbs.max_test_outliers (alpha=0.000005)\n", + "outliers_volume = grubbs.max_test_outliers(df_solar.moon_planet_relative_volume, alpha=0.000005)\n", + "outliers_volume" ] }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 51, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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moon_nameplanet_namemoon_planet_distance_kmmoon_diameter_kmplanet_diameter_kmplanet_sun_distance_kmplanet_sun_distance_aumoon_volume_km3planet_volume_km3moon_planet_relative_diametermoon_planet_relative_volume
0MoonEarth384000347612742149597870.71.02.199064e+101.083207e+120.2727990.020301
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" + ], + "text/plain": [ + " moon_name planet_name moon_planet_distance_km moon_diameter_km \\\n", + "0 Moon Earth 384000 3476 \n", + "\n", + " planet_diameter_km planet_sun_distance_km planet_sun_distance_au \\\n", + "0 12742 149597870.7 1.0 \n", + "\n", + " moon_volume_km3 planet_volume_km3 moon_planet_relative_diameter \\\n", + "0 2.199064e+10 1.083207e+12 0.272799 \n", + "\n", + " moon_planet_relative_volume \n", + "0 0.020301 " + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# which moon does this value correspond to?\n", + "df_solar[df_solar.moon_planet_relative_diameter == outliers_diameter[0]]" + ] + }, + { + "cell_type": "code", + "execution_count": 52, "metadata": { "collapsed": false }, @@ -2072,13 +2292,13 @@ "Name: moon_planet_relative_volume, dtype: float64" ] }, - "execution_count": 50, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# remove outliers - relative volume (higher alpha)\n", + "# remove outliers with grubbs.test (alpha=0.000005)\n", "moon_planet_rel_vol_no_outliers = grubbs.test(df_solar.moon_planet_relative_volume, alpha=0.000005)\n", "moon_planet_rel_vol_no_outliers" ] @@ -2087,14 +2307,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Tests of indpendence (of two nominal variables)\n", "\n", "Source: [Handbook of Biological Statistics](http://www.biostathandbook.com) by John H. McDonald\n", "\n", "Test | Purpose | Notes | Example\n", "----- | ----- | ----- | -----\n", - "Fisher's exact test | Test hypothesis that proportions are the same in different groups | Use for small sample sizes (less than 1000) | Count the number of live and dead patients after treatment with drug or placebo, test the hypothesis that the proportion of live and dead is the same in the two treatments, total sample <1000\n", - "Chi-square test of independence | Test fit of observed frequencies to expected frequencies | Use for large sample sizes (greater than 1000) | Count the number of live and dead patients after treatment with drug or placebo, test the hypothesis that the proportion of live and dead is the same in the two treatments, total sample >1000" + "Fisher's exact test | Test hypothesis that proportions are the same in different groups | Use for small sample sizes (less than 1000) | Count the number of live and dead patients after treatment with drug or placebo, test the hypothesis that the proportion of live and dead is the same in the two treatments, total number of samples <1000\n", + "Chi-square test of independence | Test fit of observed frequencies to expected frequencies | Use for large sample sizes (greater than 1000) | Count the number of live and dead patients after treatment with drug or placebo, test the hypothesis that the proportion of live and dead is the same in the two treatments, total number of samples >1000" ] }, { @@ -2131,9 +2353,9 @@ "\n", "Returns\n", "* oddsratio: float.\n", - " This is prior odds ratio and not a posterior estimate.\n", + " The odds ratio in the form \"unconditional Maximum Likelihood Estimate\". This is a prior odds ratio and not a posterior estimate.\n", "* p_value: float.\n", - " P-value, the probability of obtaining a distribution at least as\n", + " p-value, the probability of obtaining a distribution at least as\n", " extreme as the one that was actually observed, assuming that the\n", " null hypothesis is true." ] @@ -2149,7 +2371,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 53, "metadata": { "collapsed": false }, @@ -2200,7 +2422,7 @@ "Indian 1 5" ] }, - "execution_count": 51, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -2221,7 +2443,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 54, "metadata": { "collapsed": false }, @@ -2232,7 +2454,7 @@ "(20.0, 0.03496503496503495)" ] }, - "execution_count": 52, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -2284,7 +2506,7 @@ "Parameters:\n", "* observed: array_like.\n", " The contingency table. The table contains the observed frequencies\n", - " (i.e. number of occurrences) in each category. In the two-dimensional\n", + " (i.e., number of occurrences) in each category. In the two-dimensional\n", " case, the table is often described as an \"R x C table\".\n", "\n", "Returns:\n", @@ -2301,7 +2523,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 55, "metadata": { "collapsed": false }, @@ -2313,7 +2535,7 @@ " [3.375, 2.625]]))" ] }, - "execution_count": 53, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -2327,20 +2549,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Analysis of variance" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### One-sample *t*-test" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "\n", + "\n", + "### Analysis of variance\n", + "\n", + "#### One-sample *t*-test\n", + "\n", "The one-sample *t*-test is a two-sided test for the null hypothesis that the expected value\n", "(mean) of a sample of independent observations `a` is equal to the given\n", "population mean, `popmean`." @@ -2371,6 +2585,28 @@ " Two-tailed p-value" ] }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.swarmplot(df_solar.moon_planet_relative_diameter);" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -2380,7 +2616,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 57, "metadata": { "collapsed": false }, @@ -2391,7 +2627,7 @@ "0.018323558187319684" ] }, - "execution_count": 54, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -2409,7 +2645,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 58, "metadata": { "collapsed": false }, @@ -2420,7 +2656,7 @@ "Ttest_1sampResult(statistic=-0.5100116850761494, pvalue=0.6153619635101513)" ] }, - "execution_count": 55, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -2433,12 +2669,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We **can** reject the null hypothesis that an expected mean equal to the Moon-Earth diamter ratio (0.273) is equal to population mean." + "We **can** reject the null hypothesis that an expected mean of 0.273 (equal to the Moon-Earth diamter ratio) is equal to population mean." ] }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 59, "metadata": { "collapsed": false }, @@ -2449,7 +2685,7 @@ "Ttest_1sampResult(statistic=-77.47835937736278, pvalue=2.6973888513820512e-27)" ] }, - "execution_count": 56, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } @@ -2501,21 +2737,50 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 60, "metadata": { - "collapsed": true + "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(array([ 0.49671415, -0.1382643 , 0.64768854, 1.52302986, -0.23415337,\n", + " -0.23413696, 1.57921282, 0.76743473, -0.46947439, 0.54256004,\n", + " -0.46341769, -0.46572975, 0.24196227, -1.91328024, -1.72491783,\n", + " -0.56228753, -1.01283112, 0.31424733, -0.90802408, -1.4123037 ,\n", + " 1.46564877, -0.2257763 , 0.0675282 , -1.42474819, -0.54438272,\n", + " 0.11092259, -1.15099358, 0.37569802, -0.60063869, -0.29169375,\n", + " -0.60170661, 1.85227818, -0.01349722, -1.05771093, 0.82254491,\n", + " -1.22084365, 0.2088636 , -1.95967012, -1.32818605, 0.19686124]),\n", + " array([ 2.73846658, 2.17136828, 1.88435172, 1.6988963 , 0.52147801,\n", + " 1.28015579, 1.53936123, 3.05712223, 2.34361829, 0.23695984,\n", + " 2.32408397, 1.61491772, 1.323078 , 2.61167629, 3.03099952,\n", + " 2.93128012, 1.16078248, 1.69078762, 2.33126343, 2.97554513,\n", + " 1.52082576, 1.81434102, 0.89366503, 0.80379338, 2.81252582,\n", + " 3.35624003, 1.92798988, 3.0035329 , 2.36163603, 1.35488025,\n", + " 2.36139561, 3.53803657, 1.96417396, 3.56464366, -0.6197451 ,\n", + " 2.8219025 , 2.08704707, 1.70099265, 2.09176078, 0.01243109,\n", + " 1.78032811, 2.35711257, 3.47789404, 1.48172978, 1.1915064 ,\n", + " 1.49824296, 2.91540212, 2.32875111, 1.4702398 , 2.51326743]))" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# create sample data\n", - "np.random.seed(1)\n", + "np.random.seed(42)\n", "a = np.random.randn(40)\n", - "b = 1.5*np.random.randn(50)+2" + "b = np.random.randn(50)+2\n", + "a, b" ] }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 61, "metadata": { "collapsed": false }, @@ -2524,24 +2789,34 @@ "name": "stdout", "output_type": "stream", "text": [ - "ttest_ind: t = -9.86068, p = 7.14488e-16\n" + "ttest_ind: t = -11.1375, p = 4.17558e-18\n" ] } ], "source": [ - "# scipy.stats.ttest_ind (t-test for the means of two independent samples)\n", + "# two-sample t-test method 1: single function using scipy.stats.ttest_ind\n", "t, p = scipy.stats.ttest_ind(a, b, equal_var=False)\n", "print(\"ttest_ind: t = %g, p = %g\" % (t, p))" ] }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 62, "metadata": { - "collapsed": true + "collapsed": false }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ttest_ind_from_stats: t = -11.1375, p = 4.17558e-18\n" + ] + } + ], "source": [ + "# two-sample t-test method 2: from descriptive stats\n", + "\n", "# compute the descriptive statistics of a and b\n", "abar = a.mean()\n", "avar = a.var(ddof=1)\n", @@ -2551,12 +2826,18 @@ "bbar = b.mean()\n", "bvar = b.var(ddof=1)\n", "nb = b.size\n", - "bdof = nb - 1" + "bdof = nb - 1\n", + "\n", + "# scipy.stats.ttest_ind_from_stats\n", + "t2, p2 = scipy.stats.ttest_ind_from_stats(abar, np.sqrt(avar), na,\n", + " bbar, np.sqrt(bvar), nb,\n", + " equal_var=False)\n", + "print(\"ttest_ind_from_stats: t = %g, p = %g\" % (t2, p2))" ] }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 63, "metadata": { "collapsed": false }, @@ -2565,35 +2846,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "ttest_ind_from_stats: t = -9.86068, p = 7.14488e-16\n" + "scipy.special.stdtr: t = -11.1375, p = 4.17558e-18\n" ] } ], "source": [ - "# scipy.stats.ttest_ind_from_stats (t-test for the means of two independent samples from descriptive stats)\n", - "t2, p2 = scipy.stats.ttest_ind_from_stats(abar, np.sqrt(avar), na,\n", - " bbar, np.sqrt(bvar), nb,\n", - " equal_var=False)\n", - "print(\"ttest_ind_from_stats: t = %g, p = %g\" % (t2, p2))" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# use the formulas directly\n", + "# two-sample t-test method 3: use the formulas directly\n", "tf = (abar - bbar) / np.sqrt(avar/na + bvar/nb)\n", "dof = (avar/na + bvar/nb)**2 / (avar**2/(na**2*adof) + bvar**2/(nb**2*bdof))\n", - "pf = 2*scipy.special.stdtr(dof, -np.abs(tf))" + "pf = 2*scipy.special.stdtr(dof, -np.abs(tf))\n", + "print(\"scipy.special.stdtr: t = %g, p = %g\" % (tf, pf))" ] }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 64, "metadata": { "collapsed": false, "scrolled": true @@ -2601,9 +2868,9 @@ "outputs": [ { "data": { - "image/png": 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fbwsuf3hsKSnEWEgIi3Gp6bJj0isUJcdqXUpEijXquWNxFooCn9tSQ79r/PeH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\nivICFOWlcXdOCnbb9Z0KOxfpRo0PEdeTw49kEi2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VGblUZ+TpHee8lNmyuKd8PiEtwm+bP6Q/KL0bYuykCIuUd7TPy1tNveTaTNw6o0C3HDdO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\nBRlQIZFkiOP+kBFMiE6kzeFROqYg3LGwEBW5Dxm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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -2680,7 +2947,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 65, "metadata": { "collapsed": true }, @@ -2695,7 +2962,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 66, "metadata": { "collapsed": false }, @@ -2712,7 +2979,7 @@ "data": { "image/png": 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f1pzNKMbAQc4qhOhNknxFTGqDrWzz1jPMnkamxdFr1ykyOLnBNh4VhccDa1kf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\nTE3gT3ON+A1w7J4Ith4W3rAbrAw7xNC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guqrHFWfCyA66ghY270ohYYlTm1lNQo3jD6SR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\n4bM1EUr4+KD2U1QEpjCQ2+pZO5vIWvMfnE0VGKpG06SLaR991mlv7X4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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -2730,7 +2997,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 67, "metadata": { "collapsed": false }, @@ -2741,7 +3008,7 @@ "F_onewayResult(statistic=7.121019471642447, pvalue=0.0002812242314534544)" ] }, - "execution_count": 65, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -2754,12 +3021,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The means **were** significantly heterogeneous (one-way anova, $F_{4,34}=7.12, P=2.8\\times10^{-4}$). \n", + "We **can** reject the null hypothesis that these five populations have the same mean (one-way anova, $F_{4,34}=7.12, P=2.8\\times10^{-4}$). \n", "\n", "Complete ANOVA results (see http://www.biostathandbook.com/onewayanova.html):\n", "\n", - ". | sum of squares | d.f. | mean square | Fs | P\n", - "-----|-----|-----|-----|-----|-----\n", + "comparison | sum of squares | d.f. | mean square | Fs | P\n", + "-----|----:|----:|----:|:---:|:---:\n", "among groups | 0.00452| 4 | 0.001113 | 7.12 | 2.8e-4\n", "within groups | 0.00539 | 34 | 0.000159 | | \n", "total | 0.00991 | 38 | | |" @@ -2769,17 +3036,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Machine learning with scikit-learn\n", + "\n", + "\n", + "### Machine learning with Scikit-learn\n", + "\n", + "Learn more about Scikit-learn and see lots of awesome examples at https://scikit-learn.org.\n", "\n", - "Learn more about scikit-learn and see examples at https://scikit-learn.org." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ "#### Random forests\n", "\n", + "A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive accuracy and control over-fitting.\n", + "\n", "Example borrowed from [Chris Albon](https://chrisalbon.com/machine_learning/trees_and_forests/random_forest_classifier_example/) and [Yhat](http://blog.yhat.com/posts/random-forests-in-python.html)." ] }, @@ -2792,7 +3058,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 68, "metadata": { "collapsed": true }, @@ -2808,6 +3074,13 @@ "np.random.seed(0)" ] }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "RandomForestClassifier?" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -2817,7 +3090,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 69, "metadata": { "collapsed": false }, @@ -2898,7 +3171,7 @@ "4 5.0 3.6 1.4 0.2" ] }, - "execution_count": 67, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } @@ -2916,7 +3189,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 70, "metadata": { "collapsed": false }, @@ -3010,13 +3283,13 @@ "4 setosa " ] }, - "execution_count": 68, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Add a new column with the species names, this is what we are going to try to predict\n", + "# Add a new column with the species names; this is what we are going to try to predict\n", "df['species'] = pd.Categorical.from_codes(iris.target, iris.target_names)\n", "\n", "# View the top 5 rows\n", @@ -3032,7 +3305,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 71, "metadata": { "collapsed": false }, @@ -3132,7 +3405,7 @@ "4 setosa True " ] }, - "execution_count": 69, + "execution_count": 71, "metadata": {}, "output_type": "execute_result" } @@ -3150,19 +3423,20 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 72, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Create two new dataframes, one with the training rows, one with the test rows\n", - "train, test = df[df['is_train']==True], df[df['is_train']==False]" + "train = df[df['is_train']==True]\n", + "test = df[df['is_train']==False]" ] }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 73, "metadata": { "collapsed": false }, @@ -3191,7 +3465,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 74, "metadata": { "collapsed": false }, @@ -3204,7 +3478,7 @@ " dtype='object')" ] }, - "execution_count": 72, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -3219,7 +3493,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 75, "metadata": { "collapsed": false }, @@ -3235,7 +3509,7 @@ " 2, 2, 2, 2, 2, 2, 2, 2])" ] }, - "execution_count": 73, + "execution_count": 75, "metadata": {}, "output_type": "execute_result" } @@ -3254,12 +3528,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Train the random forest classifier:" + "Create and train the random forest classifier using `RandomForestClassifier` and `clf.fit`:" ] }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 76, "metadata": { "collapsed": false }, @@ -3283,7 +3557,7 @@ " oob_score=False, random_state=0, verbose=0, warm_start=False)" ] }, - "execution_count": 74, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } @@ -3308,12 +3582,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Apply classifier to test data:" + "Apply classifier to test data using `clf.predict` and `clf.predict_proba`:" ] }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 77, "metadata": { "collapsed": false }, @@ -3325,7 +3599,7 @@ " 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])" ] }, - "execution_count": 75, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" } @@ -3337,7 +3611,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 78, "metadata": { "collapsed": false }, @@ -3357,7 +3631,7 @@ " [1., 0., 0.]])" ] }, - "execution_count": 76, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } @@ -3376,7 +3650,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 79, "metadata": { "collapsed": true }, @@ -3388,7 +3662,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 80, "metadata": { "collapsed": false }, @@ -3399,7 +3673,7 @@ "array(['setosa', 'setosa', 'setosa', 'setosa', 'setosa'], dtype='" + "" ] }, "metadata": {}, @@ -3631,19 +3914,19 @@ } ], "source": [ - "plt.scatter(X[:,0],X[:,1], label='True Position');" + "plt.scatter(X[:,0], X[:,1], label='True Position');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Create a K-means cluster with two clusters:" + "Create a K-means cluster with 2 clusters:" ] }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 87, "metadata": { "collapsed": false }, @@ -3656,7 +3939,7 @@ " random_state=None, tol=0.0001, verbose=0)" ] }, - "execution_count": 85, + "execution_count": 87, "metadata": {}, "output_type": "execute_result" } @@ -3670,7 +3953,7 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 88, "metadata": { "collapsed": false }, @@ -3692,7 +3975,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 89, "metadata": { "collapsed": false }, @@ -3719,7 +4002,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 90, "metadata": { "collapsed": false, "scrolled": true @@ -3729,7 +4012,7 @@ "data": { "image/png": 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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -3737,7 +4020,7 @@ } ], "source": [ - "plt.scatter(X[:,0],X[:,1], c=kmeans.labels_, cmap='rainbow');" + "plt.scatter(X[:,0], X[:,1], c=kmeans.labels_, cmap='rainbow');" ] }, { @@ -3749,7 +4032,7 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 91, "metadata": { "collapsed": false }, @@ -3758,7 +4041,7 @@ "data": { "image/png": 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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -3768,20 +4051,17 @@ "source": [ "kmeans = KMeans(n_clusters=3)\n", "kmeans.fit(X)\n", - "plt.scatter(X[:,0],X[:,1], c=kmeans.labels_, cmap='rainbow');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Microbiome analysis with scikit-bio" + "plt.scatter(X[:,0], X[:,1], c=kmeans.labels_, cmap='rainbow');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", + "### Microbiome analysis with Scikit-bio\n", + "\n", "This last lesson is taken from the documentation for [Scikit-bio](http://scikit-bio.org/docs/latest/). The package `skbio.diversity` provides diversity measures for OTU tables. OTUs are \"operational taxonomic units\"; you can think of them as taxa or species.\n", "\n", "First, you will have to install Scikit-bio:\n", @@ -3793,7 +4073,7 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 92, "metadata": { "collapsed": true }, @@ -3817,7 +4097,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 93, "metadata": { "collapsed": true }, @@ -3834,7 +4114,7 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 94, "metadata": { "collapsed": false }, @@ -3850,7 +4130,7 @@ " [0, 0, 25, 35, 0, 19, 0]]" ] }, - "execution_count": 92, + "execution_count": 94, "metadata": {}, "output_type": "execute_result" } @@ -3861,7 +4141,7 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 95, "metadata": { "collapsed": false }, @@ -3872,7 +4152,7 @@ "['A', 'B', 'C', 'D', 'E', 'F']" ] }, - "execution_count": 93, + "execution_count": 95, "metadata": {}, "output_type": "execute_result" } @@ -3897,7 +4177,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 96, "metadata": { "collapsed": false, "scrolled": false @@ -3915,7 +4195,7 @@ "dtype: int64" ] }, - "execution_count": 94, + "execution_count": 96, "metadata": {}, "output_type": "execute_result" } @@ -3934,7 +4214,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 97, "metadata": { "collapsed": false }, @@ -3951,7 +4231,7 @@ "dtype: float64" ] }, - "execution_count": 95, + "execution_count": 97, "metadata": {}, "output_type": "execute_result" } @@ -3982,7 +4262,7 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 98, "metadata": { "collapsed": false }, @@ -4018,7 +4298,7 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 99, "metadata": { "collapsed": false }, @@ -4054,7 +4334,7 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 100, "metadata": { "collapsed": false }, @@ -4086,7 +4366,7 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 101, "metadata": { "collapsed": false }, @@ -4130,7 +4410,7 @@ }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 102, "metadata": { "collapsed": false }, @@ -4205,7 +4485,7 @@ "F skin s2" ] }, - "execution_count": 100, + "execution_count": 102, "metadata": {}, "output_type": "execute_result" } @@ -4231,16 +4511,16 @@ }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 103, "metadata": { "collapsed": false }, "outputs": [ { "data": { - "image/png": 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o+Obn5zE6OmqeH6spLS8st4oDL6cUbCa6UQw1qh8UI0KpVAqapiEajW4439aa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\nS47jLHuiF1gp27bV1NSkpqYmd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kY4LaWydriYJvcXER4+Pj5vmxmtLywnKrOPBzSsF2ohfFUKv6QTEilMlkoGka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ERvOCeTSdcYkNMVbquLXnblEutBR67de++9PHKN43q48LMIsatYX19HLBbT3cZrNps4e/YslpeX\nmb0u2RROJBK6/14bs+Y0ZF6u2WyqVQ76gUW3aAaZjEAMtIvFoiu2iAGoLfTNzU1Uq1UAl7NnBzEP\nZwTi5ebz+RypPnbalA2FQmi1Wmi1WpiZmXFNpYW2HBnEZ4z+MkH+JGbl2k1iUuUbGRnB9PS041/A\nCM1mE2trawCA2dlZpi16OpeYFstGc4m1kMi1L3/5y3jzm9+M+++/n0eucbYFXPhZpFqt4tKlS5iZ\nmem4lCBJEl566SUcOHCA2evmcjk0Gg3Mzs62/b3bBJ8kScjlcl3n5bQRa3otUNYxUGSwPpvNIhKJ\nuMo+g4wLKIqiLrt0m4cbRAsLaLfacVP1UZZltfpIHtaNRmNgyyPdMGJ4PAj0xDIZ/YhGo4hGo0wN\nla3CospnBa1Ypm2Juhly05Frd911F49c42wruPCzCBlS7/XfHD9+HAcPHmR2U9jc3ES5XMbCwoL6\nGuRG7gbRpxVWU1NTph562hZovV4HgC1bxFYqFLQ5tFO2HnrQ1cdeNhXd5ilZJEfQ0LOPbqsMkRa9\nLMtIJpPql69uyyODqCzTM4ZuEskA1E3iSCSCkZGRtuqXUQ89O2g2m0ilUlAUhVkrvB/oXGJaLD/5\n5JMIBoMIBoN4+umnsby8jEceeUS9F3M42wUu/CxiRPgBwIkTJ7Bv3z5mN9FSqYRCoYCdO3c6Psen\npV6vq6kFiURiy8aiFWj/M1rs6LVAu80yuckcmkALq36qj93EstWYrGaziXQ6jVar5SqRTOeyGn0v\nWS6PdIO0T902Y9hqtZBOp9FoNHTN3+lNdFrs2G0rQy+8uCnDWY9Wq4V///d/xw9+8AOcO3cO5XIZ\nQ0NDuPbaa7GysoKbb76ZC0DOtsEdd6ZtiNEbFIlYYyX8vF4vRFFEs9mE1+uFx+Nx/GbZarWwvr6O\ncrnMfJOSjoEi8VrE8oKInM3NTTSbTV0j5VKphPX1dUQiEezatcs1D2My+9hqtTA3N9eXsPL5fIhE\nIupmrdYsmMRkkRZotwc5PZfmtocxna+7uLhouJJM4sHoLyL08ki5XFZnZ/U+Q71+fkmSkMlkUK1W\nXWeFQiLkYrEYZmdndYUbHdNH5iO1tjIkvUZrm2LVVkYURaytrUGWZezcudPxKl8v/uM//gMPPPAA\npqen8cQTT2Dv3r3IZDI4duwYjh49imw2y4UfZ9vAK3590Gw20evynT59GnNzc8yqX41GA5cuXXJ0\nMYI+H9pfbnJy0rFWoHZWp1arQZIkeL1eRKNRjI6OOpIaoUWWZeRyORQKhYEKK7oFqucPFw6HVdEX\nCoUwMzPjGu87bb6uXcbVnczKuyWPEGHltlY48QtsNpuYnZ1lcv9hYStDV/ncZKrdCR65xrkS4cKv\nD4wIv7Nnz2JmZqYvnzOytEEvb5DFiE7eeXbEq9FUq1U1mcRN/nJ0W3d8fBzBYLBNEPr9/i1ieVCD\n/6StOzQ0hJmZGcczRsmDvFqtYnNzE6IotgkdO5ZrzOD0jGG35JFQKARRFCFJkuusUIrFIrLZ7EC8\nMrW2MuQ+pBWDgUAArVYLqVQKkiRhdnbWNfeMTvDINc6VChd+fWBE+L3yyiuIx+Nqm9IsZub4tBWL\ner3e1uZiseHYbDaRzWYhCAKmp6ddExtGP/A6Zf5q21fE9Z88pMg/LBYjaEj1hZgdu1EkkIotgLZZ\nOJbLNWagK1Z6c2lOQSq22k1ip6vvwOVrlkql0Gq1MDs761gEop6tjCRJUBQF4XAY4+Pjjn6h6AWP\nXONc6XDh1weiKKobtZ149dVXMTIyYipiDWATs9YpPsyK4z/dorTTuNcK/SyV0BUL8g/xPqPFjpXZ\nQHpezm3XjJgK97pm2uUaUtWxq3Lq1nxd4LXtU+0m8aCWRzrRTyqI3RAxKooi4vG4auwuCAKA/haQ\n7ICOXHvggQfw1re+1dHz4XDsgAu/PjAi/MxErAH6bV2WmBU6pN2WzWZd06IkkNkv1ksldHuPtrvo\ntRhBU61WkU6nEQgEkEgkXDMXROcRW91w7lY5pcWgWaFD5+u6aXyATisxOpfZKXnEyvJINzqJUaeh\nq8l6YlS7gKS1laGv0yDa+zxyjXM1wYVfH7RaLUiS1PW/MROxBsARexY9uxS/349AIKBa1ritRUkq\nHNFoFFNTU7Y+HDotRuhVTsmGZ61WU6+ZW6ovdKSZHXnEWjNuo0LHrfm6QLsY7ZYXawS95RHAWhud\nroy6bfuatOlFUTTVciYzlVoPRrq6bIetDB259pnPfAbvfOc7mR2bw3EjXPj1gRHh1ytiDXBf6gaJ\noyNeVbIst9mlsDQJNku9Xkc6nYbH41HTLZxALyu11Wq1zTENDw873roCLj+IM5kMBEEYqICnhQ75\nU7s8Qqq2bvO+oyujdonRbssj3ZJH7Mj+ZQFtH8Oq5aytLtPb6P3ayvDINc7VChd+fWBE+OXzedTr\ndczNzW35dyzm+FhCV9K0CxK9EjXsbsvY6RXYLySei1jH0IKHTkQYdHwYXRUaxIankfMhQqdaraJc\nLkOSJPj9fkQiEfU6DXLTWg/iF0hsbQY52tAreUSWZVSrVUxOTrqqykc2dkVRRDKZZGIf0wkyU0mL\nQa2tTK8oQx65xrma4cKvDyRJQqvV6vrfFItFFItF7NixQ/07Ut0jws8NN5xaraa2pY1U0jolarDe\nbhx0W9cMRIxWKhVMT09viefqtFxDe+dZmYUzAqmMunFeTrtJrJ2pNOsNxwqtX6DVTXzWyLKsztkq\nigKv16sb0zeIa6SFrvI5+eVCO2qgtZURBAGiKGJxcRE/+tGP8Mgjj2Dfvn14+OGHufEy56qDC78+\nMCL8yuUycrkcrrnmGgDm7FkGgSiKyGazqNVquuLFDLS3IN3+tOotaFaMDgpavJgVo9qsXe0sXL/+\ni7SPodsqo53ydbXotdH15gVZVuLK5bKaYzszM+OaLxf0Zjid4zyo5ZFu0FFwrEyiWUJ3KX7yk5/g\nW9/6Fmq1GhqNBt7whjfgj/7oj3DdddchkUi45neEwxkEXPj1gSzLEEWx639D2kaLi4uumuOTZRn5\nfB75fN7Wb+rEvsGMt2Cr1UI2m0W1Wu1bjLJGEASk02mmecSdEiO0Q//d3h9Wub92QIsXq5vEvVI1\nrI4akHnWer2OZDLZl9E6awRBwNraGvx+P5LJZE+hy3J5pBelUgnpdNoVIwRGeO6553D//fdjfn4e\nN910EwqFghq3dvDgQTzxxBNOnyKHMzC48OsDI8KvXq/j3LlziMViGB4edoVxaaVSQSaTQTAYHHg0\nF725p/UWJDNMlUoFsVjMVW1dSZKwsbGBYrHYVnmxA+01IpUd0iKmZ+E8Hg+azSYymQyazSYSiYSr\nxEutVmuztWFVpdMuRpDrFAgEtlwjPVGizbGdmppyjXhRFAUbGxsoFAp9VW07eTD2Wh7pBhHKgiC4\nssqnpVfkGvkcucVuicMZBFz49UE34UfP8dVqta5LEb2qOaygBcLMzIxr7FlkWcbm5iY2NjYAXJ55\nZGWi3C9EIGSzWUcraZ3a6D6fD61WS13GcWLTWo9B5evSkA1Q+hppk1nI9mc6nUar1bJ9EcEsZFGI\ntVAm9Foe6bYlS6p8bhPKneCRaxyOPlz49QG5ier9fac5vm5LEXYN/EuShFwuh83NTdd5ftFtXVog\n6F0j2kSZfojbBZlJI3Y8boptIiMEHo8Hw8PDaoWQRfuzH5zO19WiNSyvVquQZRmBQADRaNT2TGsz\n50nsY8hiyaB+R3sljwSDQVQqFTQaDczNzbnq90APHrnG4XSHC78+0Ao/q358egP/siy3PcCtzOZo\nq1WkIuQGzFqNdEqL0Bv47/eBySLdwi66VdI6tT8HlSPr1nxdoN37bnp6ekueLJmpHHRiBNBuH5NI\nJFwxm0muT7FYRKlUUj8vg1wesQKPXONwesOFX580Gg1bNnU7pWnQQrDbA5zOr52ZmXHVQ7harSKT\nycDv92NmZsay1Ygd3oKkWmVHukU/0DNpZjaJSYuYvk6kmkNfp34e4LSId1smMT0v12k2Uy8xgp4X\n7MckuBuyLCObzaJUKiGRSLjGPgZAWwLN7OwshoeHuy6POJ23yyPXOBzjcOHXBy+//DJ++MMf4sCB\nA1hZWcHU1JRtr0XPL5F/tFYpZFbJrUbHtHWMHXNf/XgLunlBgm45s5hJ6yWYzWx/ujVfF+hvXk77\n+0ZMgmnvvH4qzNVqFalUynWJJcBr1jajo6OYnp7uKOLtWB6xAo9c43DMwYVfHxw7dgyf//zncezY\nMQiCgGQyidXVVaysrGB1dRXLy8u2Voy0Vim1Wg2KoiAQCGBsbExNQ3Ba+NEh94O2f+jlLRgKhdSW\n1vj4OMbHx11TrZJlGblcDoVCwdaWcyfBrN2QpT9Lg4g0swqd/ctyXk7rnUdGMuhrRKqn3Y5BWvWJ\nRAKjo6N9nxcr6CqfVWubfpZHzCLLMr797W/jK1/5Co9c43BMwIUfA1qtFk6dOoXf/OY3OHToEA4f\nPozz588jGAxieXkZKysruO6667CystI1s9cqpHXq9XoxMTHRJgi1GbuDnsupVquqnUc/bV2WkOtT\nKpVQKpWgKMqWNvogo9X0IBWhoaGhgceGAd0rXj6fD/V6HeFw2JbN036oVCpIp9MYHh4eyAY2Ecy0\nGKR9KonI8fl8qFQqSKVSrjOJBqCemx0LOb2WR6wkj5DItRMnTuDOO+/kkWscjgm48LOJQqGAI0eO\nqGLwyJEjqiHxysqKKgaXl5ctJ1KIoqh6ak1PT+u2TmVZ3mKgTJsD2yVy6HMj1jFuuTGTlnO9XlfP\nrZu3oJ3Ra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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -4263,16 +4543,16 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 104, "metadata": { "collapsed": false }, "outputs": [ { "data": { - "image/png": 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i8bghILds2bIm/eTW2prZliggp6am0N/fb5wfs8kyL/Q3iw0np3isJzpRXNWr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\n6jGVSqm+vl5NTU1WuGxoaLjui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i8bghILds2bIm/eTW2prZliggp6am0N/fb5wfs8kyL/Q3iw0np3isJzpRXNWr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\nX0er1cLKykqHQnznz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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -4296,7 +4576,7 @@ }, { "cell_type": "code", - "execution_count": 103, + "execution_count": 105, "metadata": { "collapsed": true }, @@ -4307,7 +4587,7 @@ }, { "cell_type": "code", - "execution_count": 104, + "execution_count": 106, "metadata": { "collapsed": false }, @@ -4325,7 +4605,7 @@ "Name: ANOSIM results, dtype: object" ] }, - "execution_count": 104, + "execution_count": 106, "metadata": {}, "output_type": "execute_result" } @@ -4336,7 +4616,7 @@ }, { "cell_type": "code", - "execution_count": 105, + "execution_count": 107, "metadata": { "collapsed": false }, @@ -4347,7 +4627,7 @@ "-0.3333333333333333" ] }, - "execution_count": 105, + "execution_count": 107, "metadata": {}, "output_type": "execute_result" } @@ -4358,7 +4638,7 @@ }, { "cell_type": "code", - "execution_count": 106, + "execution_count": 108, "metadata": { "collapsed": false }, @@ -4369,7 +4649,7 @@ "False" ] }, - "execution_count": 106, + "execution_count": 108, "metadata": {}, "output_type": "execute_result" } @@ -4389,7 +4669,7 @@ }, { "cell_type": "code", - "execution_count": 107, + "execution_count": 109, "metadata": { "collapsed": true }, @@ -4400,7 +4680,7 @@ }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 110, "metadata": { "collapsed": false }, @@ -4418,7 +4698,7 @@ "Name: ANOSIM results, dtype: object" ] }, - "execution_count": 108, + "execution_count": 110, "metadata": {}, "output_type": "execute_result" } @@ -4429,7 +4709,7 @@ }, { "cell_type": "code", - "execution_count": 109, + "execution_count": 111, "metadata": { "collapsed": false }, @@ -4440,7 +4720,7 @@ "1.0" ] }, - "execution_count": 109, + "execution_count": 111, "metadata": {}, "output_type": "execute_result" } @@ -4451,7 +4731,7 @@ }, { "cell_type": "code", - "execution_count": 110, + "execution_count": 112, "metadata": { "collapsed": false, "scrolled": true @@ -4463,7 +4743,7 @@ "True" ] }, - "execution_count": 110, + "execution_count": 112, "metadata": {}, "output_type": "execute_result" } @@ -4495,7 +4775,7 @@ }, { "cell_type": "code", - "execution_count": 111, + "execution_count": 113, "metadata": { "collapsed": false }, @@ -4584,7 +4864,7 @@ "F skin s2 3 5.50" ] }, - "execution_count": 111, + "execution_count": 113, "metadata": {}, "output_type": "execute_result" } @@ -4604,7 +4884,7 @@ }, { "cell_type": "code", - "execution_count": 112, + "execution_count": 114, "metadata": { "collapsed": false }, @@ -4613,7 +4893,7 @@ "data": { "image/png": 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BALBQUFEX8FexNL2ffni8TUD6LiPph4D0LC0tWU1S6wD1jsLGPMPlxul06vvv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\n2lUvvfSSrrvuOlWuXNm7baN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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -4633,7 +4913,7 @@ }, { "cell_type": "code", - "execution_count": 113, + "execution_count": 115, "metadata": { "collapsed": false }, @@ -4684,7 +4964,7 @@ "Faith PD 0.939336 1.000000" ] }, - "execution_count": 113, + "execution_count": 115, "metadata": {}, "output_type": "execute_result" } @@ -4693,6 +4973,13 @@ "sample_md.corr(method=\"spearman\")" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As we would expect, the two measures of alpha diversity (number of observed OTUs and Faith's phylogenetic diversity) are strongly correlated." + ] + }, { "cell_type": "markdown", "metadata": { From f88746e71b7316daf4fd7c68575731a6cd66a89a Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Mon, 26 Nov 2018 12:59:11 -0800 Subject: [PATCH 61/78] updates after class --- lessons/lesson17.ipynb | 2266 ++++++++++++++++++---------------------- 1 file changed, 1030 insertions(+), 1236 deletions(-) diff --git a/lessons/lesson17.ipynb b/lessons/lesson17.ipynb index a3eb22e..ab7f19f 100644 --- a/lessons/lesson17.ipynb +++ b/lessons/lesson17.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Lesson 17 - Statistics Packages\n", + "## Lesson 17 - Statistics\n", "\n", "### Readings\n", "\n", @@ -32,9 +32,7 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "# import required packages\n", @@ -51,13 +49,11 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "# set up pandas and seaborn environments\n", - "pd.set_option('display.max_rows', 25)\n", + "pd.set_option('display.max_rows', 40)\n", "sns.set()\n", "sns.set_context('notebook')\n", "sns.set_palette('colorblind')" @@ -118,9 +114,7 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "# import data with dates parsed, calculate average precipitation per month, get month and year, reset index\n", @@ -134,26 +128,24 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", - "\n", "\n", " \n", @@ -219,6 +211,56 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", "
42009
52009-05-0132.82555-117.2449152.254.8552009
62009-06-0132.82555-117.2449152.253.8562009
72009-07-0132.82555-117.2449152.250.0072009
82009-08-0132.82555-117.2449152.250.4082009
92009-09-0132.82555-117.2449152.250.5592009
\n", "
" @@ -229,7 +271,12 @@ "1 2009-01-01 32.82540 -117.2397 154.80 6.90 1 2009\n", "2 2009-02-01 32.82540 -117.2397 154.80 72.60 2 2009\n", "3 2009-03-01 32.82555 -117.2449 152.25 6.10 3 2009\n", - "4 2009-04-01 32.82555 -117.2449 152.25 2.05 4 2009" + "4 2009-04-01 32.82555 -117.2449 152.25 2.05 4 2009\n", + "5 2009-05-01 32.82555 -117.2449 152.25 4.85 5 2009\n", + "6 2009-06-01 32.82555 -117.2449 152.25 3.85 6 2009\n", + "7 2009-07-01 32.82555 -117.2449 152.25 0.00 7 2009\n", + "8 2009-08-01 32.82555 -117.2449 152.25 0.40 8 2009\n", + "9 2009-09-01 32.82555 -117.2449 152.25 0.55 9 2009" ] }, "execution_count": 4, @@ -239,22 +286,21 @@ ], "source": [ "# examine the resulting dataframe\n", - "df.head()" + "df.head(10)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { - "collapsed": false, "scrolled": false }, "outputs": [ { "data": { - "image/png": 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1+90uehxmMwetShKMBvPSRYTl/SIZ4vZUcbPriUKNYqCbFkzbiaSxh3XR712d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\npyICuFZaxdNRvVzer5s6ccAj1bLGohqqitHBPs46pS4L8tIS4e9JVlE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\n", 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ohtkMQAzAPEx27yyF0EN21yEbLGRNngo3FFQdMUW0o2E5zteuVtF0w47IkIcc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\n", 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\n", 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" ] }, "metadata": {}, @@ -293,7 +337,6 @@ "cell_type": "code", "execution_count": 7, "metadata": { - "collapsed": false, "scrolled": true }, "outputs": [ @@ -301,18 +344,18 @@ "data": { "text/html": [ "
\n", - "\n", "\n", " \n", @@ -428,9 +471,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -451,9 +492,7 @@ { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -474,9 +513,7 @@ { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -497,9 +534,7 @@ { "cell_type": "code", "execution_count": 11, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -520,9 +555,7 @@ { "cell_type": "code", "execution_count": 12, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -543,9 +576,7 @@ { "cell_type": "code", "execution_count": 13, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -562,7 +593,23 @@ "9 209.700000\n", "10 210.200000\n", "11 216.333333\n", + "12 296.333333\n", + "13 436.333333\n", + "14 508.033333\n", + "15 523.000000\n", + "16 570.066667\n", + "17 570.966667\n", + "18 572.416667\n", + "19 574.666667\n", " ... \n", + "75 1625.166667\n", + "76 1628.466667\n", + "77 1659.316667\n", + "78 1660.116667\n", + "79 1698.166667\n", + "80 1698.666667\n", + "81 1727.266667\n", + "82 1750.966667\n", "83 1799.216667\n", "84 1822.066667\n", "85 1889.566667\n", @@ -591,9 +638,7 @@ { "cell_type": "code", "execution_count": 14, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -610,7 +655,23 @@ "11.0 2\n", "24.0 2\n", "29.0 2\n", + "36.0 2\n", + "31.0 2\n", + "27.0 2\n", + "8.0 2\n", + "23.0 2\n", + "10.0 2\n", + "6.0 2\n", + "80.0 1\n", " ..\n", + "72.0 1\n", + "15.0 1\n", + "73.0 1\n", + "47.0 1\n", + "26.0 1\n", + "19.0 1\n", + "166.0 1\n", + "46.0 1\n", "14.0 1\n", "67.0 1\n", "40.0 1\n", @@ -633,7 +694,31 @@ ], "source": [ "# value_counts\n", - "df.PRCP.round().value_counts()" + "df.round().PRCP.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "152.25 50\n", + "139.20 33\n", + "149.70 9\n", + "154.80 3\n", + "Name: ELEVATION, dtype: int64" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.ELEVATION.value_counts()" ] }, { @@ -649,9 +734,8 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": { - "collapsed": false, "scrolled": false }, "outputs": [ @@ -659,25 +743,25 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/luke/miniconda3/envs/python3/lib/python3.5/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + "/Users/luke/miniconda3/envs/python3/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 15, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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Xzd+J/uoNqBiM+Kph0K+H6GCMn/sCYk4Cyfhkt/b2dixZsgQLFy7Ed77zHRw7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\nrQxzTyvLYGntRcQxze0tXWh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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -691,35 +775,26 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": { - "collapsed": false, "scrolled": false }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke/miniconda3/envs/python3/lib/python3.5/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" - ] - }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 16, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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RkZEx6PtkZhohDHEdfa7dgr8WZ+EHf9uLLYda4QxI+N5b+3Hbgon4rwUTE76+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\niYiIYhgTORERUQz7f0awkbeqySXxAAAAAElFTkSuQmCC\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -754,29 +829,38 @@ }, { "cell_type": "code", - "execution_count": 17, - "metadata": { - "collapsed": true - }, - "outputs": [], + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.6647546282416419, 16.58865346899516)" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# linear (1st order) with np.polyfit\n", - "m, b = np.polyfit(df.MONTH, df.PRCP, 1)" + "m, b = np.polyfit(df.MONTH, df.PRCP, 1)\n", + "m, b" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": { - "collapsed": false, "scrolled": false }, "outputs": [ { "data": { - "image/png": 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\n", 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" ] }, "metadata": {}, @@ -791,16 +875,14 @@ }, { "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": false - }, + "execution_count": 20, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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a2/VfL61kpANAzhR8IA90z9juDxq15k+myuNy9TtX2G8vsdewZ995wMHcW5jP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\nRU5ErkJggg==\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -823,10 +905,8 @@ }, { "cell_type": "code", - "execution_count": 20, - "metadata": { - "collapsed": true - }, + "execution_count": 21, + "metadata": {}, "outputs": [], "source": [ "# parabolic (2nd order) with np.polyfit\n", @@ -835,10 +915,8 @@ }, { "cell_type": "code", - "execution_count": 21, - "metadata": { - "collapsed": false - }, + "execution_count": 22, + "metadata": {}, "outputs": [ { "data": { @@ -846,7 +924,7 @@ "array([ 1.68178223, -21.14169112, 67.38422486])" ] }, - "execution_count": 21, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -858,9 +936,8 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": { - "collapsed": false, "scrolled": false }, "outputs": [ @@ -879,7 +956,7 @@ " 11.10204082, 11.32653061, 11.55102041, 11.7755102 , 12. ])" ] }, - "execution_count": 22, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -892,10 +969,8 @@ }, { "cell_type": "code", - "execution_count": 23, - "metadata": { - "collapsed": false - }, + "execution_count": 24, + "metadata": {}, "outputs": [ { "data": { @@ -912,7 +987,7 @@ " 39.95689808, 43.67855318, 47.56971737, 51.63039063, 55.86057297])" ] }, - "execution_count": 23, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -925,17 +1000,16 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "metadata": { - "collapsed": false, "scrolled": false }, "outputs": [ { "data": { - "image/png": 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S1N3bC+2Zr09dtg/qucp6/OXbs6ivt7h1H1RvxvEs5zBOzmGcOscYOceTY8jdTshnz55F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\nEREJgAmZiIhIAP8fCkCnNlPUV6gAAAAASUVORK5CYII=\n", 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ZVNkd/N/4vozu0V6zsrgc/oqikJeXx1dffdUQ/larlfnz5/Pxxx8TEBDApEmTGDx4MN27d3dbgYUQwtsoisL7e4tJ23qIuDaBrJnUl17tQzQtk8vhn5tbv572jBkzKC8v56677iIkJIQhQ4YQEREBwKhRo9i0aRNz5851T2mFEMLLVNnreHrLQTKyrQzv2pY//+ZqIgL9tS6W6+FfUVHB0KFD+f3vf4/dbmfatGmMGTMGi8XS8DNRUVFkZWW5paBCCKEGd24bmVdexQNr95F9opLHb4jn8Ru74Gc0uLnErnE5/AcMGMCAAQMaHk+cOJGXXnqJhx9+uOGYoigYDM5VNDIy1NUiqc5iCdO6CG714e5C0jb+REF5FZ0igkgf05t7BsZpXSyP0Nvf7tekbq77cHchT2w+yDl7/Zz7wgobT2w+SHhYoNOfhQ37rUz727/q//+B67n9qst/gaj9d3M5/H/44QfsdjtDhw4F6oM+NjaWkpKShp8pKSkhKirKqectLa3E4VCcLs8/iyroGx1KgJ86c2X1tsLg+b1Sz2+Zd7S8igdX7aXiTLXuls/V29/u16RuLbPg0/0NwX/eOXsdCz7dz8jObZr1HHUOhde25/FGZj59o0JZdmcfukQEXbbsLamb0WhwqdHsclKeOXOGV155BZvNRmVlJWvXruXVV19lx44dlJWVUVVVxZYtW0hKSnL1FM1Weq6G29//J6kr/kV+uWcnTK3ZZ2Xg0h34PbGegUt3eGwjabWpvVeqEK1RS7eNLDlbw+RVWbyRmc+kvjFsuHcAXSKC3FlEt3G55T98+HD27t3LHXfcgcPh4J577mHgwIHMnz+fadOmYbfbmThxItdcc407y9uoyOAAlt3Rh8c2/sRt//sDf7q9N7f3tFz5F510ceu4sMLG45tyALy+daz2XqlCtEYt2TZy+9FTPLz+AOVVdl4b1ZN7Ezs43e2tJoOiKM73sXiQq90+UD+4MvuT/ew5foYHB8by3PBubu0GGrh0R6NvjLhwM7sfHuq282hBz3W7mHSNeCc16nZxAw/qt418fXSvJht4dQ6F/9yRz2vb8+jaNoi/jOtDnyjnumG8qtunNeoSEcTfpwxg5sBY/rL7mNu7gfTcOpa9UoWov4J/fXQv4sLNGKhv/Fwu+E9U2rhr5V5e+S6P8VdHs3X6QKeDXyu6W97BbDKy6LYe3NApoqEb6I3RvUjt7dzAc2NacknY2sleqULUO79t5JV8k1fGnA0HqLTVsWRMLyb3i2nV3TwX0134nze2l4W+0aHM+vt+Zn6yn3uOlPHiiO6EBLhe5bSkhEYvCfXSOpa9UoW4spo6B4u3HeGdnQX0iAxm9d396W3R9m5dV+g2/AHiI4LYMGUAr3yXx3/94yj/KDjNn39zNYkxrs2nldaxEL7t59JzPLx+P1nWSqb178Dzw7sTEuCndbFcoqsB38vZfvQUc9Yf4OQ5OwuSuvIf13fC2IJLND22jt15Z2Nrpse/3XlSN89QFIUP9hbz+y9/JtDPyBtjerl1RqEM+HrQjZ3b8tWMQYzqHskfv87ltxl7KT7j/QO17nJ+lkNhhQ2Ff09j1ct9DEK4qqzKzox1+3hi80Gu6xjO1zMGeWQqudp8JvwB2gb58z939OGN0b3YXVTBLe/t4uP9VlrZxY8m5CYv9zp/M2DMy1/r6mZAX/NVbhnD39vF1p9LeX54N1benUhMmPdP8AAfC38Ag8HAlMQOfHHfdXRrF8zD6w8w65P9lJ6r0bpomtLzNFa1yVWU9ztbU8uTm3OYtCqLNmYTG6ddy8Mt7CpubXQR/q60srq1C+bvU/qTltSVjYdOMuy9XWz5+aQKpW2dmpquqodprGqTqyjvtqOgnFve+4H39xTzH9d3Yst9A+kXrb/F8rw+/FvSyjIZjcwbGs/m6QNpHxzA1DXZPPbZT5yx1V72fHpc20du8nIfuYryTtW1dSz88mfu/HAPBgN8MqU/C4d3I9DknbN5rsTrw98draw+UaFsnjaQR4d0JiP7OLe8t4uvj5Rd8nN6vpx39s5G0TS5ivI+u4sqGPm/u/nzrkLuG9CRr+6/jsFxEVoXy6O8fp6/u1pZZpOR3w1LILl7JPM/y+HulVlM6hvDH0Z0a9h153JfNHoISbnJyz30fjOgnpytqePlb4/w3z8U0iHMTMZd13BL13ZaF0sVXt/yd3cra1BsGz6/fyDzhnZm1b7j3Pw/u/g0p36PArmcF80hV1HeYVveKW55bxfv/lDI9AEd2fbAIJ8JftBBy98TraxAkx9pSQmk9rLw2Gc5zFi3j9ReFmJCAyiuvHRWkFzOi4s1d30Yob7T1Xae/+owH2YdJ6FtEOvu6c/QTvru4mmM14e/J5dc6BcdxqZp1/LOzgJe356Hn9GAv9GA/Vd3IMvlvBDeQVEUPj14krTPD3HybA1zB3fiiRu7EOSvzwHdK/H68AfPtrL8/epnBN3esz1Pbj7IjoLTBPgZqKlTiFNhCQQ9L7mg57qJ1iW/vIq0rYf4PLeMPlEhvD+hn8trfOmFLsJfDT0iQ1g7uT8f/XicF74+TIWtjjuuimJ0j/YeO6eedw7Tc91E61FT52DpzgKWZOZjNBr4w63dmDkwFpPR64c7W0zC3wkGg4HJ13QguXskr35fwFvfF/DJgRO8lNyTkd0i3X4+Pc8u0nPdfIE3XLVlHi3n6S0HOVh6jpSe7fnjiO50DA/UulgX0PJ1lK8/F0QGB7Dsrv6su6c/Qf5+3Lv6R6at+ZG8U+7dPF7Ps4v0XDe9a+33u1grbczdcIA7/7aHqloHH0zsx7I7+7bK4NfydZTwb4GhnSL44v7r+P0tCXx3tJybl+0kfVsuZ2uavkPYGW2DGr8wa+q4N5EbobxXa12+wlbr4K3vjzL0Lzv55KcTzBvamW0PDHL6qlytRfm0fh0l/FsowM/I3MGdyZx5PeN6R/GnHUe58S873bJaaLW9zqnj3iQtKQH/i9bI8jcgM6e8QGu8att6uJRh7+3ij1/nclPnCLY9MIi0pASCnZzJo2ZrXOvXsUXh/9ZbbzF27FjGjh3LK6+8AsAzzzxDcnIy48aNY9y4cWzdutUtBW3tYsLMvJVyFeunDMASEsDD6w9wx4d7yDru+p2y52ob//Jo6ri3MRgNl30sWqfWdNX2c+k57lmVxb2rf8TPAB/99hr+OqEfXdsGu/R8arbGtX4dXe4/yMzM5LvvvmPt2rUYDAZmzpzJ1q1byc7O5oMPPiAqquUbpjdXaxp8uj6uDZumDeTDrGJe2naEkf+3m9/2ieaZpK7EtrI+Ry2lb8ulpu7CL7GaOkUGfL2A2stXNPb5Hta1La9vz+eve4oIMhn5w/BuzBgYS4Bfyzoz1GyNa70MiMvhb7FYWLBgAQEBAQB069aNoqIiioqKSEtLw2q1MnLkSObOnYvRg9OqWuOUQT+jgan9OzLuqij+tCOfv/xQyPqcEmZdF8ejQzoTZm7ey272M2Cru7SVb/bz/hay1pe8wnVq7mW9Zp+VeZ8ewP7Lx6Cwon4wN8BkxF7n4N7EjjxxUxeiQgLccr7YcDOFjbwHPdEa13pPcJfDv0ePHg3/n5eXx8aNG1mxYgU7d+5k4cKFhIWFMXv2bFavXs1dd93llsI2Ru0pg85cZYSbTfz+lm7cNyCWl7bl8uY/jrIiq5gnb+zCvYkd8L9CK+XilvGVjnsTNT9kwv3UWr7id58fbAj+8xxAncPB1zMG0bN9iFvPp3VrXE0t3sD90KFDzJ49m0ceeYQ777zzgn/bunUr69at4+23325RIS/H74n1NFYBA1D3Wqpbz/Xh7kJmrc7i3K8GXIP9/fjviddwz8C4K/7+DwXlPLl+P9/kltK9fQh/GNWLuxM7Ymyir9v4xPomn8vh5rqpraWvpfANWnwGPtxdSNrGnygor6JTRBDpY3p75D2p9WegRXMGd+/ezaOPPkpaWhpjx44lJyeHvLw8Ro0aBdSvpWEyOXeK0tJKHI7mfx9drgXp7mWJF3y6/4I/FMA5ex0LPt3PyM5trvj78YF+ZEzsy+afS3lp2xGmrPgni7bksCCpK8ndIjFctEWcnwEaa+T7GfDokstqLOk8snMbXhvV85KrqJGd23j83HpeslpPdfsu/9Rl/91T9RzZuQ0jZw/2+LlamifnGY0GIiNDnT6/y+FfXFzMnDlzWLJkCUOHDgXqwz49PZ0hQ4YQHBxMRkbGJVcD7qbmZZo7+qkNBgOje7QnuXsk6w6c4JXv8pi2JptrO4SRNiyBm+PbNvzs1MSO/O+eokueY2piR+cL3wrJypeiMT8cO83ib4/wbX45Bmj0yr6dDu510Xrcy+VXcNmyZdhsNhYvXtxwbNKkScyaNYvJkydTW1tLcnIyKSkpbiloU9QcNHFnP7XRYGD81dGk9rKQkX2c17fnM/GjvdzYOYLHb4znhk4RvDyqJwDv7y2iTqlv8U9N7NhwXAg92Xv8DK9+l8fWw6VEBvvzwq3daGM28eSWgxeMcwX4GXhxRI/LPJN30Hrcq8V9/u7mbLePmi6eWQT1Vxnu2KijuraOv+4p5r/+cZQTZ2sYHNeG/3dDPMO6tL2kO8jT1Oo60GqKrp66Ri7mjXXbdew0SzLz+SK3jDZmE/8xuBMPDowlJKC+bdqapnK7k7vyxNVuH12Ev5pvDk+fq8pex4dZxbz1fQFFZ2xc2yGM+TfEM7KRMQFPUSNAPPlFeiXeGJDN5S11UxSFzIJy3sjM57v8ciKD/Jk9KI4Z18Y2ORXaW+rmDHfkic+Gv1Yh4uk3oq3WQUb2cd78x1EKTlfTLzqUOdd3IrW3xePL0arxIRu4dEejl7xx4WZ2PzzUo+fWY4ic19rr5lAUvswt40878tl5rIKokADmXN+Jqf07EhJw+aUYWnvdWqIldVN9wLe10OvSwGaTkWn9OzK5Xwyr91n5r++P8tD6AyzadoTZ18VxzzUxDZfF3kjrwS6hLlutgzX7rfx5ZwE5peeIDTPz0sge3HNNDIEm39xJS2vemx6/0HuI+PsZmXxNB+7uF8Pmn0t55/ujPPvFz7y2PY/7BnTkgYFxbru7UU1aD3YJdZyqsvN/e4pYtvsYJ87W0DcqlLdTrmJcb8sVb3IUnuX14a/3EGmsT/C54d1YurOAP+04ytKdBdxxVRQPDIzzqm3pfOlOSl90qPQs7/2ziI9+LOac3cGtXdvx8PWduDk+QvUJDKJxXh/+eg6RptYten10L967sy+5Zef47x8KWbnPSka2lYEdw3lgYCypvSwuLXCl5sC51uuaCPerdTjY8nMp7/3zGN/mlxPgZ+DOq6J46PpOXG1xvk9aeJbXD/iCNlPBWtOgaIWtlowfj/PeP4+Re6oKS4g/0xI7cm9ih2bvXqTl7Bu1ycChe508V8OKvcX8dU8RhRU2YsPMTB/QkSmJHWgf7L4uSfm7Nc5nB3z1rLnjGeFmEw9eF8cDA2P55sgplv3zGG9k5rNkRz63JrRjyjUdGNkt8rJ9rHodOBeesSr7OM9/dZiT5+wNx26Oj+CPI7qT3D1SNkj3Al4f/mov6azmVUbbIBNlVZduCdnUNo5Gg4HhCe0YntCO/PIqPswq5qMfj3P/2n1YQvy5u28MU67pQEK7Sze60PvAuXCPwopqnvviZz47ePKCZRfMfgYm9+vA7T0tmpVNOMfrw1/NFmtja4vP+/QA4JkvmqZ65JrTUxcfEcQzSQk8eVMXvswt44O9xSzdWcBb3xcwJK4NE/pE85veFiIC/QH9D5wL152tqWXjoVJWZR/nm7xTja61Y5ONeLyO14e/mi3WxtYWtyv1xz3xpi+vbnyv3qaON8ZkNJLcvT3J3dtz/IyNjOzjrMq28uTmg/zu80Pc1i2SiVdHM7xLO97PKr7k929LcG7za6EP9joH3+SdYs1+KxsPnaTK7iAu3Mz/uyGe1zPzG/2dxhoP3kivy0lczOvDX80W66kmQrep4y3l7rrFhJmZNzSeR4d0Jstayep9VtYesPLZwZM0Nfnu89xSl87VHHr+kHlj3eocCruOneaTn0r45KcTlJ6zExFo4rd9oplwdTTXx7XBaDDwnzvym1xq3Nu1xp0BPcXrw1/PUz09VTeDwUBiTBhoWMuFAAANXElEQVSJMWEsHJ7At3nlTFqV1ejPeqo1p+cPmTfVzV7nYPvRcj49WMLGQycpOWsn0GQkuXskE66O5taEdpdMG25qIzlPbTCn5hdpa94Z0N28Pvwn9IlmZ+HpC5Y9vrtvjEdeQKMBGpuF2sRGXC2mxlx4k9HI8IR2xDVxlWEAHvr7fkZ2j+TWru1oG+TvlvPqeXZRa69bpa2Wbfmn2HToJJt/LqW8upZgfyO3dYtkbE8LtyW0I/Qy+0w39V6J88DVttrjbGp2I2vdSPD68F+zz0pG9vGGVkedAhnZx7n+l0FNd2rq9oNWugK1U25LiGx045ju7YLZlneKtQdOYDTAoNg23NatHbd1i+Sq9iEu362p59lFra1uiqJwuKyKz3NL+fxwKf8oOI3doRBu9mNU9/aM7WXhli5tCfJv3ho7al5tqz3OpmY3staNBK8PfzVfQDVbPKBuy6Cpvv2q2jp+nHsD/yqu4PPDZXyeW8qib46w6JsjxIWbuTm+LUld2nJTfFun1hjS8+yi1lC3U1V2Mo+W893RU3yZW0ZeeTUAvSKDmXVdHCO6teP62DYura+j5t3Zao+zNdUI8sTEB60bCV4f/mq+gGqPL6j5xXa519HPaOC62DZcF9uGBUldOX7Gxue5pXyRW8ZnB0/ytx+PA9C7fQg3xUdwc3xbhnRq0zCNtDFpSQkXXM4D+BuQsRoXrdhbzKJvDlNaVYu/0UCtQ0EBgv2N3NApgocGdWJEt3Z0bhPklvPpdQvOv+ecaPK4u3fQ07qR4PXhr+YLqPZ6NGp+sTnzOsaEmbk3sSP3JnakzqGQZT3Dd/nlfJt/ig/2FvM/u48B0Kt9MINi23B9bBsGxYbTtW3QBd1EBuOFO9QbPDV48gu1Btc8/T5RFIWCimp+OFbBrmMVbD1cSsHp6oZ/tzsUTEYD84Z05rEb4l1a56m1aNfEjY6e2sO3sXNd7nhLaD1ZxevDX+0X8HyLR411RtT8YnP1ctfPaGBAh3AGdAjnkSGdsdU6+KHoNN8XnuaHYxX8/acTfLC3/v6ByGB/ru0QTmJMKMv/eeyCfVkBajx4o5Dag2vubBmfOFtDtvUMWdZKso6f4YeiCqyVNUB9y76ukUGnWodCRvZxnrq5q1vKoJXf9Ipq9H35m15RGpTGvbRe3NDrw1/rF9CT1Pxia6rP39l5/maTkRs7t+XGzm2B+p2bck6eZdexCnYdO82e4jN8fri00btEoT6Uz9nrCG7m4GNzecMUvuraOg6XVXGo9Bw5J8+SZT1DtrWS478EPUB8RCA3dY5g0C9XU70tIcS9uq3R5/Nk37FaV1Huel+2Vmo2Ji/m9eEP+u1/VPOLran5/C2d5280GLjKEspVllCm9e8IwNmaOga/+w9KfrUo2K8lvPEtndoE0rN9MD3aBdOlbRCd2wQSHxFEXHggZpPz3Rieql9jLjc98Te9LRw7Y+NoeTVHT1dx5FQVB0vPcaj0HPnlVQ0zx4wG6BEZzM3xbekbHco10WH0jQ4lvJEpmGr3Has5/VLtQVG1u5m05JEarV+/nqVLl1JbW8v06dOZMmWKJ07TwBvvpmwuPX6xhQT4MbanpdHL+Vu6tGVwXBtySs9x8ORZvs07he3X4wJAhzAzndsEEhNmJiY0gOiQAKJCzUSHBhATGkC7IH/aBJouWFnSAI1ebbhrlMGhKFTYajl51s5Tm3ManZ44d8MB5n564IKpwf5GAwntgugbFcr4q6LoERlMz/YhJLQNavbUSzVnqIC60y/V/mJ7cUQPHtv40wVdkgF+Bl4c0cMj59OS28PfarWyZMkSPv74YwICApg0aRKDBw+me/fu7j4VoP2NEsI1q/Zduo4QwK5j5WTcndjw2KEonKisIf90Ffnl1Rwtryb/dBVHy6vZU1yB9WwNVXZHo88VGuBHRKCJNoGmJruZFOCVb49wfhza8MvXgcFQf25bnYKt1tHwX3Wdg+raOipsdVRU13K62s5pWy1nbHVNnqOhLsD8IfF0jgikc5tAOkcE0jHM3OLljxsL/vPH3T1DBdSdftk1IqjR8O8a4Z5ZSxfTczfyxdwe/pmZmQwZMoSIiAgARo0axaZNm5g7d667TwVof6OEXvgZGr8931PrtZy9uOnYxHGjwVDfwg8zMzju0p9XFIXKmjqOV9qwVtZwvLKG8mo75VW1lP8SzOXVtew7cbbJsjS1UBnUt8zNJiOBv/xnNhkx+xkJN5voGG7mKksI4YEmIswmws0m2ocEMGfDgSafb0GSdw/Aqi2zoNyp4+6gx6vtxrg9/E+cOIHF8u81vaOiosjKanzdmMY4uyPN5foELRbP7mnr6edX06wh8SzdcWkIzhoSr3o9nT1fFHClIXDjE+ub/DfHa6nAv5fK/vWK2UYXpp9eLvxb+2vZ2s53uXWE9PT5A/Xr4/bwdzgcF8zlVhTFqSUAnN3G8XJ9gp4cPdfblnLPJ3Wlqsp+wRpJUxM78nxSV4/U00h9N0hjx9V+XdU8n57r5onzXe6KVE+fPy22cXT73R8xMTGUlJQ0PC4pKSEqynNzctOSEgi6aPaHXlb1VNvLo3pS9NQtOF5LpeipWzzSX3ze+Zk/zT3eUr3aNd5H3NRxbzkXQHhA4x/jpo631M2dI5w63hJTExt/PzR1XDSf298dN9xwAzt27KCsrIyqqiq2bNlCUlKSu0/TYEKfaF4f3Yu4cDMG6tfZ0eOm43rz8qie3Ne/Y8OYgp8B7uvf0WNfONseHHxJ+PZqF8S2Bwd79bkADs1PuiTowwOMHJrvmc/d6sn9Lwn6mztHsHpyf7efS+33iS8xKM3ZE9BJ69ev591338VutzNx4kQefPDBZv+us90+WtFbt8+v6bluoO/6Sd28kxbdPh6Z55+amkpqaqonnloIIYQbeO+KT0IIIVwm4S+EED5Iwl8IIXxQq1utyJWbarTiTWV1lp7rBvqun9TNO7laN1d/zyOzfYQQQrRu0u0jhBA+SMJfCCF8kIS/EEL4IAl/IYTwQRL+QgjhgyT8hRDCB0n4CyGED5LwF0IIHyThL4QQPkjC30lvvfUWY8eOZezYsbzyyitaF8cjXn75ZRYsWKB1Mdzuyy+/ZPz48YwZM4YXX3xR6+K41SeffNLwvnz55Ze1Lo5bVFZWkpKSQmFhIQCZmZmkpqaSnJzMkiVLNC5dy1xct4yMDFJSUkhNTeWZZ56hpqbG84VQRLNt375dufvuuxWbzabU1NQo06ZNU7Zs2aJ1sdwqMzNTGTx4sPL0009rXRS3Onr0qHLTTTcpxcXFSk1NjTJ58mTl66+/1rpYbnHu3Dll0KBBSmlpqWK325WJEycq27dv17pYLbJnzx4lJSVF6dOnj1JQUKBUVVUpw4YNU44eParY7XZlxowZXvv3u7huubm5ysiRI5UzZ84oDodDeeqpp5Tly5d7vBzS8neCxWJhwYIFBAQE4O/vT7du3SgqKtK6WG5TXl7OkiVLeOihh7Quittt3bqV22+/nZiYGPz9/VmyZAmJiYlaF8st6urqcDgcVFVVUVtbS21tLWazWetitcjKlStZuHBhw/7fWVlZxMfH06lTJ0wmE6mpqWzatEnjUrrm4roFBASwcOFCQkNDMRgM9OzZU5VcaXWrerZmPXr0aPj/vLw8Nm7cyN/+9jcNS+Rezz33HPPnz6e4uFjrorhdfn4+/v7+PPTQQxQXF3PLLbfw2GOPaV0stwgNDWXevHmMGTOGoKAgBg0axLXXXqt1sVpk0aJFFzw+ceIEFoul4XFUVBRWq1XtYrnFxXWLjY0lNjYWgLKyMlasWMFLL73k8XJIy98Fhw4dYsaMGTz11FN06dJF6+K4xapVq+jQoQNDhw7VuigeUVdXx44dO0hPTycjI4OsrCzWrl2rdbHc4qeffmLNmjV89dVXfPvttxiNRpYtW6Z1sdzK4XBgMPx76WJFUS54rAdWq5Xp06czYcIEBg8e7PHzSfg7affu3dx33308/vjj3HnnnVoXx20+++wztm/fzrhx43jzzTf58ssvSU9P17pYbtO+fXuGDh1Ku3btCAwM5LbbbiMrK0vrYrnFd999x9ChQ4mMjCQgIIDx48ezc+dOrYvlVjExMZSUlDQ8Likpaeg20YPDhw8zadIk7rzzTubMmaPKOaXbxwnFxcXMmTOHJUuW6K6FvHz58ob///jjj9m5cydpaWkalsi9hg8fztNPP01FRQUhISF8++23jBgxQutiuUXv3r159dVXOXfuHEFBQXz55Zf069dP62K5VWJiIkeOHCE/P5+4uDg2bNjAhAkTtC6WW1RWVvLAAw/w2GOPcccdd6h2Xgl/JyxbtgybzcbixYsbjk2aNInJkydrWCrRHImJicycOZN77rkHu93OjTfeqJvwuOmmm9i/fz/jx4/H39+ffv36MWvWLK2L5VZms5nFixfzyCOPYLPZGDZsGKNHj9a6WG6xevVqTp48yfLlyxsaYbfeeivz5s3z6HllJy8hhPBB0ucvhBA+SMJfCCF8kIS/EEL4IAl/IYTwQRL+QgjhgyT8hRDCB0n4CyGED5LwF0IIH/T/AZd8CoGCIx9pAAAAAElFTkSuQmCC\n", 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" ] }, "metadata": {}, @@ -950,10 +1024,8 @@ }, { "cell_type": "code", - "execution_count": 25, - "metadata": { - "collapsed": true - }, + "execution_count": 26, + "metadata": {}, "outputs": [], "source": [ "# 3rd order with np.polyfit\n", @@ -962,10 +1034,8 @@ }, { "cell_type": "code", - "execution_count": 26, - "metadata": { - "collapsed": true - }, + "execution_count": 27, + "metadata": {}, "outputs": [], "source": [ "# generate curve with polyval\n", @@ -974,17 +1044,16 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "metadata": { - "collapsed": false, "scrolled": false }, "outputs": [ { "data": { - "image/png": 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N6caaA7Vej605UIunb8oN2d6aREQUPgYcyD/60Y/OeV1UVIQ1a9ZccoHCXWVrB6wOj9dj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\nGhsbg3puBnKQbNiwAbGxsXjzzTfx2mu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\n", 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" ] }, "metadata": {}, @@ -1008,16 +1077,14 @@ }, { "cell_type": "code", - "execution_count": 28, - "metadata": { - "collapsed": false - }, + "execution_count": 29, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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ZuwYrSws4HzzuytOtyLAmYG+jk9UljdNsEt7NUXtMzR9Kwhy5a5Esy9jT4ESG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\ndTwwiD4pN8U8NLD9X8ED2//YVgMAilu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\n", 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" ] }, "metadata": {}, @@ -1050,27 +1117,25 @@ }, { "cell_type": "code", - "execution_count": 29, - "metadata": { - "collapsed": false - }, + "execution_count": 30, + "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", - "\n", "
\n", " \n", @@ -1149,7 +1214,7 @@ "4 2009-04-01 32.82555 -117.2449 152.25 2.05 4 2009" ] }, - "execution_count": 29, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -1163,16 +1228,14 @@ }, { "cell_type": "code", - "execution_count": 30, - "metadata": { - "collapsed": false - }, + "execution_count": 31, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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ORqe4a9Y/A5msaMxmFWW+Vy8OZUVnMSjU/rXFtCd4Po/pfP1WdaqVsGdVBVQV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\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1186,10 +1249,8 @@ }, { "cell_type": "code", - "execution_count": 31, - "metadata": { - "collapsed": true - }, + "execution_count": 32, + "metadata": {}, "outputs": [], "source": [ "# store our values as new variables\n", @@ -1199,10 +1260,8 @@ }, { "cell_type": "code", - "execution_count": 32, - "metadata": { - "collapsed": true - }, + "execution_count": 33, + "metadata": {}, "outputs": [], "source": [ "# guess the sine wave properties\n", @@ -1217,10 +1276,8 @@ }, { "cell_type": "code", - "execution_count": 33, - "metadata": { - "collapsed": true - }, + "execution_count": 34, + "metadata": {}, "outputs": [], "source": [ "# create a function that returns the curve to fit our data to\n", @@ -1230,10 +1287,8 @@ }, { "cell_type": "code", - "execution_count": 34, - "metadata": { - "collapsed": false - }, + "execution_count": 35, + "metadata": {}, "outputs": [], "source": [ "# now fit the curve to the data using scipy.optimize.curve_fit\n", @@ -1242,22 +1297,66 @@ }, { "cell_type": "code", - "execution_count": 35, - "metadata": { - "collapsed": true - }, - "outputs": [], + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[0.5235987755982988, 10, 0, 10]" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# we'll use this to plot our first estimate. This might already be good enough for you\n", - "data_first_guess = my_sin(t, *p0)" + "p0" ] }, { "cell_type": "code", - "execution_count": 36, - "metadata": { - "collapsed": true - }, + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(array([ 0.52269435, 23.36580661, 1.22206448, 21.05228284]),\n", + " array([[ 3.60000571e-05, 1.55959946e-04, -1.72175447e-03,\n", + " -9.64418604e-04],\n", + " [ 1.55959946e-04, 1.45447293e+01, -7.75633619e-05,\n", + " 1.06005333e-01],\n", + " [-1.72175447e-03, -7.75633619e-05, 1.09151942e-01,\n", + " 5.22505748e-02],\n", + " [-9.64418604e-04, 1.06005333e-01, 5.22505748e-02,\n", + " 7.32071235e+00]]))" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fit" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "# we'll use this to plot our first estimate. This might already be good enough for you\n", + "data_first_guess = my_sin(t, *p0)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, "outputs": [], "source": [ "# recreate the fitted curve using the optimized parameters\n", @@ -1266,17 +1365,16 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 40, "metadata": { - "collapsed": false, "scrolled": true }, "outputs": [ { "data": { - "image/png": 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b7Wy+H38brw65mlC9kSd2f0uxvSLQRWyWDzN3MPKLf3HAms8tPUfx5TlzeCHt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\n", 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\n", 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" ] }, "metadata": {}, @@ -1304,27 +1402,25 @@ }, { "cell_type": "code", - "execution_count": 38, - "metadata": { - "collapsed": false - }, + "execution_count": 41, + "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", - "\n", "
\n", " \n", @@ -1699,7 +1795,7 @@ "22 1.036336e+10 6.252570e+13 " ] }, - "execution_count": 38, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -1734,10 +1830,8 @@ }, { "cell_type": "code", - "execution_count": 39, - "metadata": { - "collapsed": false - }, + "execution_count": 42, + "metadata": {}, "outputs": [ { "data": { @@ -1745,7 +1839,7 @@ "(0.39231409401451894, 0.06408634688502726)" ] }, - "execution_count": 39, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -1758,10 +1852,8 @@ }, { "cell_type": "code", - "execution_count": 40, - "metadata": { - "collapsed": false - }, + "execution_count": 43, + "metadata": {}, "outputs": [ { "data": { @@ -1769,7 +1861,7 @@ "(0.5186568153916277, 0.011223179377141783)" ] }, - "execution_count": 40, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -1797,9 +1889,8 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 44, "metadata": { - "collapsed": false, "scrolled": true }, "outputs": [ @@ -1809,7 +1900,7 @@ "(0.453630792978124, 0.029697361455537457)" ] }, - "execution_count": 41, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -1822,10 +1913,8 @@ }, { "cell_type": "code", - "execution_count": 42, - "metadata": { - "collapsed": false - }, + "execution_count": 45, + "metadata": {}, "outputs": [ { "data": { @@ -1833,7 +1922,7 @@ "(0.453630792978124, 0.029697361455537457)" ] }, - "execution_count": 42, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -1846,25 +1935,16 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 46, "metadata": { - "collapsed": false, "scrolled": false }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke/miniconda3/envs/python3/lib/python3.5/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" - ] - }, { "data": { - "image/png": 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n1a04qtPjZE0bHNuHpt7irFmzMGHCBFRUVIDnefz2t7/FsGHDvHqtXq/HokWL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\nhSEiIgIAMH78eBQUFOChhx5ySPvnzp3D999/j3379sHb2xtLly7F119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\n", 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" ] }, "metadata": {}, @@ -1887,10 +1967,8 @@ }, { "cell_type": "code", - "execution_count": 44, - "metadata": { - "collapsed": true - }, + "execution_count": 47, + "metadata": {}, "outputs": [], "source": [ "# calculate moon diameters and volumes relative to host planets\n", @@ -1900,16 +1978,14 @@ }, { "cell_type": "code", - "execution_count": 45, - "metadata": { - "collapsed": false - }, + "execution_count": 48, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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x7q+TkpKUlJRUbd9zzz1XK1as8PhcANBSeJT8erMGDQBQs9q2mLznnnu0evXq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\nry5durTIsVRUVGjmzJnauXOnTCaTnn7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48eJF0vF0Oh3Pnj3jzZs3QP9TAI4fP57wvLy8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\nMUMmv0IIIYQQYsyQya8QQgghhBgz/gNq3ixn5VQd8AAAAABJRU5ErkJggg==\n", + "image/png": 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\n", 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" ] }, "metadata": {}, @@ -1933,17 +2009,16 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 49, "metadata": { - "collapsed": false, "scrolled": true }, "outputs": [ { "data": { - "image/png": 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W9ejRQ927d5ckGWPk7e19/QMH4NHomwC4A0UZgDLJ4XAoODjY9drb21tZWVmy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\nfxhKOylj3XFZAAAAAElFTkSuQmCC\n", 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\n", 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\n", " \n", @@ -2422,7 +2504,7 @@ "Indian 1 5" ] }, - "execution_count": 53, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -2443,10 +2525,8 @@ }, { "cell_type": "code", - "execution_count": 54, - "metadata": { - "collapsed": false - }, + "execution_count": 57, + "metadata": {}, "outputs": [ { "data": { @@ -2454,7 +2534,7 @@ "(20.0, 0.03496503496503495)" ] }, - "execution_count": 54, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -2523,10 +2603,8 @@ }, { "cell_type": "code", - "execution_count": 55, - "metadata": { - "collapsed": false - }, + "execution_count": 58, + "metadata": {}, "outputs": [ { "data": { @@ -2535,7 +2613,7 @@ " [3.375, 2.625]]))" ] }, - "execution_count": 55, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -2587,16 +2665,14 @@ }, { "cell_type": "code", - "execution_count": 56, - "metadata": { - "collapsed": false - }, + "execution_count": 59, + "metadata": {}, "outputs": [ { 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -2616,10 +2692,8 @@ }, { "cell_type": "code", - "execution_count": 57, - "metadata": { - "collapsed": false - }, + "execution_count": 60, + "metadata": {}, "outputs": [ { "data": { @@ -2627,7 +2701,7 @@ "0.018323558187319684" ] }, - "execution_count": 57, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } @@ -2645,10 +2719,8 @@ }, { "cell_type": "code", - "execution_count": 58, - "metadata": { - "collapsed": false - }, + "execution_count": 61, + "metadata": {}, "outputs": [ { "data": { @@ -2656,7 +2728,7 @@ "Ttest_1sampResult(statistic=-0.5100116850761494, pvalue=0.6153619635101513)" ] }, - "execution_count": 58, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } @@ -2674,10 +2746,8 @@ }, { "cell_type": "code", - "execution_count": 59, - "metadata": { - "collapsed": false - }, + "execution_count": 62, + "metadata": {}, "outputs": [ { "data": { @@ -2685,7 +2755,7 @@ "Ttest_1sampResult(statistic=-77.47835937736278, pvalue=2.6973888513820512e-27)" ] }, - "execution_count": 59, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -2737,10 +2807,8 @@ }, { "cell_type": "code", - "execution_count": 60, - "metadata": { - "collapsed": false - }, + "execution_count": 63, + "metadata": {}, "outputs": [ { "data": { @@ -2753,19 +2821,19 @@ " 0.11092259, -1.15099358, 0.37569802, -0.60063869, -0.29169375,\n", " -0.60170661, 1.85227818, -0.01349722, -1.05771093, 0.82254491,\n", " -1.22084365, 0.2088636 , -1.95967012, -1.32818605, 0.19686124]),\n", - " array([ 2.73846658, 2.17136828, 1.88435172, 1.6988963 , 0.52147801,\n", - " 1.28015579, 1.53936123, 3.05712223, 2.34361829, 0.23695984,\n", - " 2.32408397, 1.61491772, 1.323078 , 2.61167629, 3.03099952,\n", - " 2.93128012, 1.16078248, 1.69078762, 2.33126343, 2.97554513,\n", - " 1.52082576, 1.81434102, 0.89366503, 0.80379338, 2.81252582,\n", - " 3.35624003, 1.92798988, 3.0035329 , 2.36163603, 1.35488025,\n", - " 2.36139561, 3.53803657, 1.96417396, 3.56464366, -0.6197451 ,\n", - " 2.8219025 , 2.08704707, 1.70099265, 2.09176078, 0.01243109,\n", - " 1.78032811, 2.35711257, 3.47789404, 1.48172978, 1.1915064 ,\n", - " 1.49824296, 2.91540212, 2.32875111, 1.4702398 , 2.51326743]))" + " array([ 3.10769987, 2.25705242, 1.82652758, 1.54834446, -0.21778299,\n", + " 0.92023369, 1.30904184, 3.58568334, 2.51542743, -0.64456023,\n", + " 2.48612595, 1.42237658, 0.984617 , 2.91751443, 3.54649928,\n", + " 3.39692018, 0.74117372, 1.53618144, 2.49689515, 3.46331769,\n", + " 1.28123864, 1.72151154, 0.34049754, 0.20569006, 3.21878873,\n", + " 4.03436004, 1.89198482, 3.50529935, 2.54245404, 1.03232037,\n", + " 2.54209341, 4.30705485, 1.94626094, 4.34696548, -1.92961766,\n", + " 3.23285376, 2.1305706 , 1.55148897, 2.13764116, -0.98135337,\n", + " 1.67049217, 2.53566886, 4.21684107, 1.22259467, 0.7872596 ,\n", + " 1.24736443, 3.37310318, 2.49312666, 1.20535969, 2.76990115]))" ] }, - "execution_count": 60, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } @@ -2774,22 +2842,20 @@ "# create sample data\n", "np.random.seed(42)\n", "a = np.random.randn(40)\n", - "b = np.random.randn(50)+2\n", + "b = 1.5*np.random.randn(50)+2\n", "a, b" ] }, { "cell_type": "code", - "execution_count": 61, - "metadata": { - "collapsed": false - }, + "execution_count": 64, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "ttest_ind: t = -11.1375, p = 4.17558e-18\n" + "ttest_ind: t = -8.98889, p = 5.03113e-14\n" ] } ], @@ -2801,16 +2867,14 @@ }, { "cell_type": "code", - "execution_count": 62, - "metadata": { - "collapsed": false - }, + "execution_count": 65, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "ttest_ind_from_stats: t = -11.1375, p = 4.17558e-18\n" + "ttest_ind_from_stats: t = -8.98889, p = 5.03113e-14\n" ] } ], @@ -2837,16 +2901,14 @@ }, { "cell_type": "code", - "execution_count": 63, - "metadata": { - "collapsed": false - }, + "execution_count": 66, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "scipy.special.stdtr: t = -11.1375, p = 4.17558e-18\n" + "scipy.special.stdtr: t = -8.98889, p = 5.03113e-14\n" ] } ], @@ -2860,17 +2922,16 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 67, "metadata": { - "collapsed": false, "scrolled": true }, "outputs": [ { "data": { - "image/png": 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iFInokuHIcC9BLSyt4BhblDcRgE2dTfoGEVEnRVjoornfy2+3t1KRZeW+eaV6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\nQyPRfRoAAAAASUVORK5CYII=\n", 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\n", 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" ] }, "metadata": {}, @@ -2947,10 +3008,8 @@ }, { "cell_type": "code", - "execution_count": 65, - "metadata": { - "collapsed": true - }, + "execution_count": 68, + "metadata": {}, "outputs": [], "source": [ "tillamook = [0.0571, 0.0813, 0.0831, 0.0976, 0.0817, 0.0859, 0.0735, 0.0659, 0.0923, 0.0836]\n", @@ -2962,24 +3021,14 @@ }, { "cell_type": "code", - "execution_count": 66, - "metadata": { - "collapsed": false - }, + "execution_count": 69, + "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke/miniconda3/envs/python3/lib/python3.5/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" - ] - }, { "data": { - "image/png": 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f1pzNKMbAQc4qhOhNknxFTGqDrWzz1jPMnkamxdFr1ykyOLnBNh4VhccDa1kf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\nTE3gT3ON+A1w7J4Ith4W3rAbrAw7xNC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guqrHFWfCyA66ghY270ohYYlTm1lNQo3jD6SR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\nrkJggg==\n", 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" ] }, "metadata": {}, @@ -2995,12 +3044,17 @@ "plt.legend();" ] }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "scipy.stats.f_oneway?" + ] + }, { "cell_type": "code", - "execution_count": 67, - "metadata": { - "collapsed": false - }, + "execution_count": 70, + "metadata": {}, "outputs": [ { "data": { @@ -3008,7 +3062,7 @@ "F_onewayResult(statistic=7.121019471642447, pvalue=0.0002812242314534544)" ] }, - "execution_count": 67, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -3058,10 +3112,8 @@ }, { "cell_type": "code", - "execution_count": 68, - "metadata": { - "collapsed": true - }, + "execution_count": 71, + "metadata": {}, "outputs": [], "source": [ "# Load the library with the iris dataset\n", @@ -3090,27 +3142,25 @@ }, { "cell_type": "code", - "execution_count": 69, - "metadata": { - "collapsed": false - }, + "execution_count": 72, + "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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\n", " \n", @@ -3283,7 +3331,7 @@ "4 setosa " ] }, - "execution_count": 70, + "execution_count": 73, "metadata": {}, "output_type": "execute_result" } @@ -3305,27 +3353,25 @@ }, { "cell_type": "code", - "execution_count": 71, - "metadata": { - "collapsed": false - }, + "execution_count": 74, + "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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\n", " \n", @@ -3405,7 +3451,7 @@ "4 setosa True " ] }, - "execution_count": 71, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -3423,10 +3469,30 @@ }, { "cell_type": "code", - "execution_count": 72, - "metadata": { - "collapsed": true - }, + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True 118\n", + "False 32\n", + "Name: is_train, dtype: int64" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.is_train.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, "outputs": [], "source": [ "# Create two new dataframes, one with the training rows, one with the test rows\n", @@ -3436,10 +3502,8 @@ }, { "cell_type": "code", - "execution_count": 73, - "metadata": { - "collapsed": false - }, + "execution_count": 77, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -3453,7 +3517,7 @@ "source": [ "# Show the number of observations for the test and training dataframes\n", "print('Number of observations in the training data:', len(train))\n", - "print('Number of observations in the test data:',len(test))" + "print('Number of observations in the test data:', len(test))" ] }, { @@ -3465,10 +3529,8 @@ }, { "cell_type": "code", - "execution_count": 74, - "metadata": { - "collapsed": false - }, + "execution_count": 78, + "metadata": {}, "outputs": [ { "data": { @@ -3478,7 +3540,7 @@ " dtype='object')" ] }, - "execution_count": 74, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } @@ -3493,10 +3555,8 @@ }, { "cell_type": "code", - "execution_count": 75, - "metadata": { - "collapsed": false - }, + "execution_count": 79, + "metadata": {}, "outputs": [ { "data": { @@ -3509,7 +3569,7 @@ " 2, 2, 2, 2, 2, 2, 2, 2])" ] }, - "execution_count": 75, + "execution_count": 79, "metadata": {}, "output_type": "execute_result" } @@ -3533,16 +3593,14 @@ }, { "cell_type": "code", - "execution_count": 76, - "metadata": { - "collapsed": false - }, + "execution_count": 80, + "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/Users/luke/miniconda3/envs/python3/lib/python3.5/site-packages/sklearn/ensemble/forest.py:248: FutureWarning: The default value of n_estimators will change from 10 in version 0.20 to 100 in 0.22.\n", + "/Users/luke/miniconda3/envs/python3/lib/python3.7/site-packages/sklearn/ensemble/forest.py:246: FutureWarning: The default value of n_estimators will change from 10 in version 0.20 to 100 in 0.22.\n", " \"10 in version 0.20 to 100 in 0.22.\", FutureWarning)\n" ] }, @@ -3557,7 +3615,7 @@ " oob_score=False, random_state=0, verbose=0, warm_start=False)" ] }, - "execution_count": 76, + "execution_count": 80, "metadata": {}, "output_type": "execute_result" } @@ -3587,10 +3645,8 @@ }, { "cell_type": "code", - "execution_count": 77, - "metadata": { - "collapsed": false - }, + "execution_count": 81, + "metadata": {}, "outputs": [ { "data": { @@ -3599,7 +3655,7 @@ " 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])" ] }, - "execution_count": 77, + "execution_count": 81, "metadata": {}, "output_type": "execute_result" } @@ -3611,34 +3667,54 @@ }, { "cell_type": "code", - "execution_count": 78, - "metadata": { - "collapsed": false - }, + "execution_count": 82, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[1., 0., 0.],\n", - " [1., 0., 0.],\n", - " [1., 0., 0.],\n", - " [1., 0., 0.],\n", - " [1., 0., 0.],\n", - " [1., 0., 0.],\n", - " [1., 0., 0.],\n", - " [1., 0., 0.],\n", - " [1., 0., 0.],\n", - " [1., 0., 0.]])" + "array([[1. , 0. , 0. ],\n", + " [1. , 0. , 0. ],\n", + " [1. , 0. , 0. ],\n", + " [1. , 0. , 0. ],\n", + " [1. , 0. , 0. ],\n", + " [1. , 0. , 0. ],\n", + " [1. , 0. , 0. ],\n", + " [1. , 0. , 0. ],\n", + " [1. , 0. , 0. ],\n", + " [1. , 0. , 0. ],\n", + " [1. , 0. , 0. ],\n", + " [1. , 0. , 0. ],\n", + " [1. , 0. , 0. ],\n", + " [0. , 0.5, 0.5],\n", + " [0. , 1. , 0. ],\n", + " [0. , 0.9, 0.1],\n", + " [0. , 0.2, 0.8],\n", + " [0. , 0.3, 0.7],\n", + " [0. , 1. , 0. ],\n", + " [0. , 0.8, 0.2],\n", + " [0. , 0. , 1. ],\n", + " [0. , 0. , 1. ],\n", + " [0. , 0. , 1. ],\n", + " [0. , 0. , 1. ],\n", + " [0. , 0. , 1. ],\n", + " [0. , 0. , 1. ],\n", + " [0. , 0. , 1. ],\n", + " [0. , 0. , 1. ],\n", + " [0. , 0. , 1. ],\n", + " [0. , 0. , 1. ],\n", + " [0. , 0. , 1. ],\n", + " [0. , 0. , 1. ]])" ] }, - "execution_count": 78, + "execution_count": 82, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# View the predicted probabilities of the first 10 observations\n", - "clf.predict_proba(test[features])[0:10]" + "# View the predicted probabilities of the test data\n", + "clf.predict_proba(test[features])" ] }, { @@ -3650,10 +3726,8 @@ }, { "cell_type": "code", - "execution_count": 79, - "metadata": { - "collapsed": true - }, + "execution_count": 83, + "metadata": {}, "outputs": [], "source": [ "# Create actual English names for the plants for each predicted plant class\n", @@ -3662,10 +3736,8 @@ }, { "cell_type": "code", - "execution_count": 80, - "metadata": { - "collapsed": false - }, + "execution_count": 84, + "metadata": {}, "outputs": [ { "data": { @@ -3673,7 +3745,7 @@ "array(['setosa', 'setosa', 'setosa', 'setosa', 'setosa'], dtype='\n", - "\n", "
\n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", - "
Predicted Speciessetosaversicolorvirginica
Actual Speciespredictedactualcomparison
setosa13000setosasetosaTrue
versicolor0521setosasetosaTrue
virginica00122setosasetosaTrue
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" - ], - "text/plain": [ - "Predicted Species setosa versicolor virginica\n", - "Actual Species \n", - "setosa 13 0 0\n", - "versicolor 0 5 2\n", - "virginica 0 0 12" - ] - }, - "execution_count": 82, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Create confusion matrix\n", - "pd.crosstab(test['species'], preds, rownames=['Actual Species'], colnames=['Predicted Species'])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "View feature importances in `clf.feature_importances_`. We get a score telling us how important each feature was in classifying. This is one of the most powerful parts of random forests, because we can clearly see that petal width was more important in classification than sepal width:" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[('sepal length (cm)', 0.11185992930506346),\n", - " ('sepal width (cm)', 0.016341813006098178),\n", - " ('petal length (cm)', 0.36439533040889194),\n", - " ('petal width (cm)', 0.5074029272799464)]" - ] - }, - "execution_count": 83, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# View a list of the features and their importance scores\n", - "list(zip(train[features], clf.feature_importances_))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### K-means clustering\n", - "\n", - "Assign data points to N clusters using K-means clustering.\n", - "\n", - "Tutorial by [Scott Robinson](https://stackabuse.com/k-means-clustering-with-scikit-learn/)." - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "from sklearn.cluster import KMeans" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ + " \n", + " 3\n", + " setosa\n", + " setosa\n", + " True\n", + " \n", + " \n", + " 4\n", + " setosa\n", + " setosa\n", + " True\n", + " \n", + " \n", + " 5\n", + " setosa\n", + " setosa\n", + " True\n", + " \n", + " \n", + " 6\n", + " setosa\n", + " setosa\n", + " True\n", + " \n", + " \n", + " 7\n", + " setosa\n", + " setosa\n", + " True\n", + " \n", + " \n", + " 8\n", + " setosa\n", + " setosa\n", + " True\n", + " \n", + " \n", + " 9\n", + " setosa\n", + " setosa\n", + " True\n", + " \n", + " \n", + " 10\n", + " setosa\n", + " setosa\n", + " True\n", + " \n", + " \n", + " 11\n", + " setosa\n", + " setosa\n", + " True\n", + " \n", + " \n", + " 12\n", + " setosa\n", + " setosa\n", + " True\n", + " \n", + " \n", + " 13\n", + " versicolor\n", + " versicolor\n", + " True\n", + " \n", + " \n", + " 14\n", + " versicolor\n", + " versicolor\n", + " True\n", + " \n", + " \n", + " 15\n", + " versicolor\n", + " versicolor\n", + " True\n", + " \n", + " \n", + " 16\n", + " virginica\n", + " versicolor\n", + " False\n", + " \n", + " \n", + " 17\n", + " virginica\n", + " versicolor\n", + " False\n", + " \n", + " \n", + " 18\n", + " versicolor\n", + " versicolor\n", + " True\n", + " \n", + " \n", + " 19\n", + " versicolor\n", + " versicolor\n", + " True\n", + " \n", + " \n", + " 20\n", + " virginica\n", + " virginica\n", + " True\n", + " \n", + " \n", + " 21\n", + " virginica\n", + " virginica\n", + " True\n", + " \n", + " \n", + " 22\n", + " virginica\n", + " virginica\n", + " True\n", + " \n", + " \n", + " 23\n", + " virginica\n", + " virginica\n", + " True\n", + " \n", + " \n", + " 24\n", + " virginica\n", + " virginica\n", + " True\n", + " \n", + " \n", + " 25\n", + " virginica\n", + " virginica\n", + " True\n", + " \n", + " \n", + " 26\n", + " virginica\n", + " virginica\n", + " True\n", + " \n", + " \n", + " 27\n", + " virginica\n", + " virginica\n", + " True\n", + " \n", + " \n", + " 28\n", + " virginica\n", + " virginica\n", + " True\n", + " \n", + " \n", + " 29\n", + " virginica\n", + " virginica\n", + " True\n", + " \n", + " \n", + " 30\n", + " virginica\n", + " virginica\n", + " True\n", + " \n", + " \n", + " 31\n", + " virginica\n", + " virginica\n", + " True\n", + " \n", + " \n", + "\n", + "" + ], + "text/plain": [ + " predicted actual comparison\n", + "0 setosa setosa True\n", + "1 setosa setosa True\n", + "2 setosa setosa True\n", + "3 setosa setosa True\n", + "4 setosa setosa True\n", + "5 setosa setosa True\n", + "6 setosa setosa True\n", + "7 setosa setosa True\n", + "8 setosa setosa True\n", + "9 setosa setosa True\n", + "10 setosa setosa True\n", + "11 setosa setosa True\n", + "12 setosa setosa True\n", + "13 versicolor versicolor True\n", + "14 versicolor versicolor True\n", + "15 versicolor versicolor True\n", + "16 virginica versicolor False\n", + "17 virginica versicolor False\n", + "18 versicolor versicolor True\n", + "19 versicolor versicolor True\n", + "20 virginica virginica True\n", + "21 virginica virginica True\n", + "22 virginica virginica True\n", + "23 virginica virginica True\n", + "24 virginica virginica True\n", + "25 virginica virginica True\n", + "26 virginica virginica True\n", + "27 virginica virginica True\n", + "28 virginica virginica True\n", + "29 virginica virginica True\n", + "30 virginica virginica True\n", + "31 virginica virginica True" + ] + }, + "execution_count": 87, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "results" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Create a confusion matrix using `pd.crosstab`. Anything on the diagonal was classified correctly and anything off the diagonal was classified incorrectly:" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + "Predicted Species setosa versicolor virginica\n", + "Actual Species \n", + "setosa 13 0 0\n", + "versicolor 0 5 2\n", + "virginica 0 0 12" + ] + }, + "execution_count": 88, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Create confusion matrix\n", + "pd.crosstab(test['species'], preds, rownames=['Actual Species'], colnames=['Predicted Species'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "View feature importances in `clf.feature_importances_`. We get a score telling us how important each feature was in classifying. This is one of the most powerful parts of random forests, because we can clearly see that petal width was more important in classification than sepal width:" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('sepal length (cm)', 0.11185992930506346),\n", + " ('sepal width (cm)', 0.016341813006098178),\n", + " ('petal length (cm)', 0.36439533040889194),\n", + " ('petal width (cm)', 0.5074029272799464)]" + ] + }, + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# View a list of the features and their importance scores\n", + "list(zip(train[features], clf.feature_importances_))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### K-means clustering\n", + "\n", + "Assign data points to N clusters using K-means clustering.\n", + "\n", + "Tutorial by [Scott Robinson](https://stackabuse.com/k-means-clustering-with-scikit-learn/)." + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.cluster import KMeans" + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ "KMeans?" ] }, @@ -3877,10 +4226,8 @@ }, { "cell_type": "code", - "execution_count": 85, - "metadata": { - "collapsed": true - }, + "execution_count": 91, + "metadata": {}, "outputs": [], "source": [ "X = np.array([[5,3],\n", @@ -3897,16 +4244,14 @@ }, { "cell_type": "code", - "execution_count": 86, - "metadata": { - "collapsed": false - }, + "execution_count": 92, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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" ] }, "metadata": {}, @@ -3926,10 +4271,8 @@ }, { "cell_type": "code", - "execution_count": 87, - "metadata": { - "collapsed": false - }, + "execution_count": 93, + "metadata": {}, "outputs": [ { "data": { @@ -3939,7 +4282,7 @@ " random_state=None, tol=0.0001, verbose=0)" ] }, - "execution_count": 87, + "execution_count": 93, "metadata": {}, "output_type": "execute_result" } @@ -3953,10 +4296,8 @@ }, { "cell_type": "code", - "execution_count": 88, - "metadata": { - "collapsed": false - }, + "execution_count": 94, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -3975,10 +4316,8 @@ }, { "cell_type": "code", - "execution_count": 89, - "metadata": { - "collapsed": false - }, + "execution_count": 95, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4002,17 +4341,16 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 96, "metadata": { - "collapsed": false, "scrolled": true }, "outputs": [ { "data": { - "image/png": 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -4032,16 +4370,14 @@ }, { "cell_type": "code", - "execution_count": 91, - "metadata": { - "collapsed": false - }, + "execution_count": 97, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -4058,6 +4394,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "*THE BELOW SECTION IS CURRENTLY NOT RUNNING DUE TO AN INCOMPATIBLE VERSION OF SCIKIT-BIO*\n", + "\n", "\n", "\n", "### Microbiome analysis with Scikit-bio\n", @@ -4072,12 +4410,10 @@ ] }, { - "cell_type": "code", - "execution_count": 92, + "cell_type": "raw", "metadata": { "collapsed": true }, - "outputs": [], "source": [ "from skbio.diversity import alpha_diversity\n", "from skbio import TreeNode\n", @@ -4096,12 +4432,10 @@ ] }, { - "cell_type": "code", - "execution_count": 93, + "cell_type": "raw", "metadata": { "collapsed": true }, - "outputs": [], "source": [ "data = [[23, 64, 14, 0, 0, 3, 1],\n", " [0, 3, 35, 42, 0, 12, 1],\n", @@ -4113,50 +4447,15 @@ ] }, { - "cell_type": "code", - "execution_count": 94, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[[23, 64, 14, 0, 0, 3, 1],\n", - " [0, 3, 35, 42, 0, 12, 1],\n", - " [0, 5, 5, 0, 40, 40, 0],\n", - " [44, 35, 9, 0, 1, 0, 0],\n", - " [0, 2, 8, 0, 35, 45, 1],\n", - " [0, 0, 25, 35, 0, 19, 0]]" - ] - }, - "execution_count": 94, - "metadata": {}, - "output_type": "execute_result" - } - ], + "cell_type": "raw", + "metadata": {}, "source": [ "data" ] }, { - "cell_type": "code", - "execution_count": 95, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "['A', 'B', 'C', 'D', 'E', 'F']" - ] - }, - "execution_count": 95, - "metadata": {}, - "output_type": "execute_result" - } - ], + "cell_type": "raw", + "metadata": {}, "source": [ "ids" ] @@ -4176,30 +4475,10 @@ ] }, { - "cell_type": "code", - "execution_count": 96, + "cell_type": "raw", "metadata": { - "collapsed": false, "scrolled": false }, - "outputs": [ - { - "data": { - "text/plain": [ - "A 5\n", - "B 5\n", - "C 4\n", - "D 4\n", - "E 5\n", - "F 3\n", - "dtype: int64" - ] - }, - "execution_count": 96, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ "adiv_obs_otus = alpha_diversity('observed_otus', data, ids)\n", "adiv_obs_otus" @@ -4213,29 +4492,8 @@ ] }, { - "cell_type": "code", - "execution_count": 97, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "A 6.75\n", - "B 7.00\n", - "C 6.25\n", - "D 5.75\n", - "E 6.75\n", - "F 5.50\n", - "dtype: float64" - ] - }, - "execution_count": 97, - "metadata": {}, - "output_type": "execute_result" - } - ], + "cell_type": "raw", + "metadata": {}, "source": [ "tree = TreeNode.read(StringIO(\n", " '(((((OTU1:0.5,OTU2:0.5):0.5,OTU3:1.0):1.0):0.0,'\n", @@ -4261,29 +4519,8 @@ ] }, { - "cell_type": "code", - "execution_count": 98, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "6x6 distance matrix\n", - "IDs:\n", - "'A', 'B', 'C', 'D', 'E', 'F'\n", - "Data:\n", - "[[0. 0.78787879 0.86666667 0.30927835 0.85714286 0.81521739]\n", - " [0.78787879 0. 0.78142077 0.86813187 0.75 0.1627907 ]\n", - " [0.86666667 0.78142077 0. 0.87709497 0.09392265 0.71597633]\n", - " [0.30927835 0.86813187 0.87709497 0. 0.87777778 0.89285714]\n", - " [0.85714286 0.75 0.09392265 0.87777778 0. 0.68235294]\n", - " [0.81521739 0.1627907 0.71597633 0.89285714 0.68235294 0. ]]\n" - ] - } - ], + "cell_type": "raw", + "metadata": {}, "source": [ "bc_dm = beta_diversity(\"braycurtis\", data, ids)\n", "print(bc_dm)" @@ -4297,29 +4534,8 @@ ] }, { - "cell_type": "code", - "execution_count": 99, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "6x6 distance matrix\n", - "IDs:\n", - "'A', 'B', 'C', 'D', 'E', 'F'\n", - "Data:\n", - "[[0. 2.77549923 3.82857143 0.42512039 3.8547619 3.10937312]\n", - " [2.77549923 0. 2.26433692 2.98435423 2.24270353 0.46774194]\n", - " [3.82857143 2.26433692 0. 3.95224719 0.16025641 1.86111111]\n", - " [0.42512039 2.98435423 3.95224719 0. 3.98796148 3.30870431]\n", - " [3.8547619 2.24270353 0.16025641 3.98796148 0. 1.82967033]\n", - " [3.10937312 0.46774194 1.86111111 3.30870431 1.82967033 0. ]]\n" - ] - } - ], + "cell_type": "raw", + "metadata": {}, "source": [ "wu_dm = beta_diversity(\"weighted_unifrac\", data, ids, tree=tree, otu_ids=otu_ids)\n", "print(wu_dm)" @@ -4333,22 +4549,8 @@ ] }, { - "cell_type": "code", - "execution_count": 100, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.9224043920928952\n", - "0.001\n", - "True\n" - ] - } - ], + "cell_type": "raw", + "metadata": {}, "source": [ "r, p_value, n = mantel(wu_dm, bc_dm)\n", "print(r)\n", @@ -4364,132 +4566,24 @@ "Next, we’ll perform principal coordinates analysis (PCoA) on our weighted UniFrac distance matrix." ] }, - { - "cell_type": "code", - "execution_count": 101, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ordination results:\n", - "\tMethod: Principal Coordinate Analysis (PCoA)\n", - "\tEigvals: 6\n", - "\tProportion explained: 6\n", - "\tFeatures: N/A\n", - "\tSamples: 6x6\n", - "\tBiplot Scores: N/A\n", - "\tSample constraints: N/A\n", - "\tFeature IDs: N/A\n", - "\tSample IDs: 'A', 'B', 'C', 'D', 'E', 'F'\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke/miniconda3/envs/python3/lib/python3.5/site-packages/skbio/stats/ordination/_principal_coordinate_analysis.py:111: RuntimeWarning: The result contains negative eigenvalues. Please compare their magnitude with the magnitude of some of the largest positive eigenvalues. If the negative ones are smaller, it's probably safe to ignore them, but if they are large in magnitude, the results won't be useful. See the Notes section for more details. The smallest eigenvalue is -0.011492611219229593 and the largest is 16.021722090908206.\n", - " RuntimeWarning\n" - ] - } - ], - "source": [ - "wu_pc = pcoa(wu_dm)\n", - "print(wu_pc)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "PCoA plots are only really interesting in the context of sample metadata, so let’s define some before we visualize these results." - ] - }, - { - "cell_type": "code", - "execution_count": 102, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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body_sitesubject
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" - ], - "text/plain": [ - " body_site subject\n", - "A gut s1\n", - "B skin s1\n", - "C tongue s1\n", - "D gut s2\n", - "E tongue s2\n", - "F skin s2" - ] - }, - "execution_count": 102, - "metadata": {}, - "output_type": "execute_result" - } - ], + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "wu_pc = pcoa(wu_dm)\n", + "print(wu_pc)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "PCoA plots are only really interesting in the context of sample metadata, so let’s define some before we visualize these results." + ] + }, + { + "cell_type": "raw", + "metadata": {}, "source": [ "sample_md = [\n", " ('A', ['gut', 's1']),\n", @@ -4510,23 +4604,8 @@ ] }, { - "cell_type": "code", - "execution_count": 103, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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kY4LaWydriYJvcXER4+Pj5vmxmtLywnKrOPBzSsF2ohfFUKv6QTEilMlkoGka\n4vH4lvNtrRnrxdcaFL0c8WuHZpYz1lnWvIYwFovh+9//PkqlEorFotlpbPellhhsSPgNOG4FH3+s\npml45JFHMDIygrW1tYaLUid0o7nDMAwzwjc2NtZS8DVby899OVGpVJBMJlGv17G4uIipqSlTcPO1\nnOxHxA7DYrEIVVUhSVKDMGgnWkSEj1g/KGIYRoPNiNhEIEaDAJgisVsMQnOH3bGDFp2iIBThXw7O\nPfdc3HPPPThz5gxkWcZTn/pUrK6u4sCBA3j2s5+Niy66KND9Ef0BCb8BpV3Bx1O6jDFMT09jZWXF\nl3343dwhCiyr4Nu9e7crwWe3lh+0WqtarUKWZdRqNSwsLGBmZqatm5g4tko8Jo8Q2HWbWiOEPFpE\nNX7+47cYatZEINrNAMDx48fNLwzWurEgxEqYPn5hRvzCEp38y8EznvEMPOMZz8All1yCN73pTXj9\n61+PY8eO4aGHHgplX0RvQsJvwGhX8PGU7sjICHbs2IF8Pu9r5MDv5g5umcF9+MbGxrBr164tBdVu\n6FbEr1arQZZlVCoVLCwsYMeOHYGkjKzdplbLCUVRzA5DXr/pR3NBL7Kd05/iFwBd11EqlbBv376G\nJgJritDaYew1IhyWANvuET+3lMtlTE5OYmhoCAcOHMCBAwfC3hLRQ5DwGxBEwcdpJvh4pGx0dLRB\nOBWLRd8jdH6tZxgGarUaKpUKxsfHOxZ84t78FH5WFEWBLMsol8uYn5/H+vp6124cTtEiTdNQq9Vw\n5syZhuYCqzgIYpYt4T/il7tmY8p4RLhYLEJRlIb6QbuIsNvjdpswjaPDjDZaKZVKSCQSYW+D6FFI\n+G1z7ARfs8eKqVE74cQjan7hR8RPjExKkoREIoH19XXPewsq4qeqKmRZRrFYxNzcHFZXV3umAYN3\nF0YiESwvLwPYKg4KhQJUVYWmabZedF78x7YzYUUZmyHWD1qnUjSLCLdqIBq05o4gJoZ4oVgsNkT4\nCUKErtDbFMMwUC6XcerUKezdu7fpY7m9SSaTaZka7QXDZY4o+Hhkslwu+2YP47fw03UdZ86cMWdo\nHjhwoGcEn4j1dTcTB1wMWv3H7GbZ9ko0BAjHpzCsY3byvrupHxQbiKznnFvQdJtBE5x2KIqCer1O\ndi6EIyT8thncdNk6zNvpsaKfnZvmh14YsSY2mwwPD2Pnzp1mQ0OlUgnVgsUOTdOwubmJUqmE+fl5\n7N+/f1saAyppAAAgAElEQVRExSRJsvWis9pN5HK5Ld6DTtYj3SSM4/ZKRKhTWjUQ8XNeqVTM+kK/\n6webYRhGKIKzl4RfqVQCAEr1Eo70/92HANAo+HjKIRqN2oo068QKt/YmQDDNGG6FJGPMjPANDw9j\nx44dDTcgwP9pG17W0jQN6XQauVzOvFny9Ol2pZndhOg9yBsLDMPA0NAQNE1DsVg0rUh6MRLqle3a\nUGJ3zmVZNv0I+Xm3lghYU8Z+fAkwDCOUL1W9JPyKxSIAUKqXcISEX59jJ/g4XLjwiz/vds1msw0z\nadshiIhfq/VEwTc0NGQr+MT9+SVMO11LFNaJRAL79u2DoihIp9O+7Cto+GfIT9HQynvwkUceMaNF\nfDqBXbrYr/0Mil1N2E0W/Nw51Q/yDmNr/aB1fnG7x+02vST8eMSPUr2EEyT8+pRmgo8jSRIikQjq\n9TpyuZwnwSeu6XeNn9NNmFuKyLKMoaEhrK+vtzSMDnPahjgZZHJyEvv27TMNdPkwdq+EOZIqCHjq\nMBqNYm5uDsPDw2YzCRcHdpMqRHHQaaRoO0bfeuGYQHMh1Kp+0NpEJH5pEKOEduuHZefSa8KPjwQk\nCDtI+PUZbgQfR9M0AMBDDz2EqampBiHSKUEIP+t64gzgeDzuSvBxwhB+Yjf0+Pi4rbDeTmItaMRm\nEifvQWukyG5UXa/ciDmDJPw6Oa7b+kFrzah4zsMSYL0m/CYnJ+maQzhCwq8PYIw12LK4EXy8tiwS\niWDXrl2eR6txgpi0Afwx9cYFH58B3G6dip/CtJXws3YVN2uO8UOQdvNCzvfbSzePZt6D4qQK8h78\nI/0k/OxwUzOqqqoZHazX66jX6w1NJV6iwm4J0zjaSqlUovo+oikk/HqYdgVfvV5HOp3G5uYmpqam\n8KhHPQrHjh3ztVDe74gfcPbinsvlkE6nTcE3Pj7ecfrO7/ot601MTEFbu4qD3Fev3Fh6jVgsZjYS\ncOy8BxVFga7rZprQMAxUKhVTGAQNRfz8w6lm9Pjx4+Zsa7uosLWG0K9rYy9F/MjDj2gFCb8ehAs+\nTdNcGYPW63WkUink83lMT0/jUY96lPkNuZs1ee3CGEM+nzebN7wIPnF/fkb8xMgX3y/vWAwrBU20\nxsl7UNd1qKqKfD6ParWKTCbT4D3opo6sUwZJ+IU5q3d0dHSLIBTH1dVqNfOLQDQatbWbafe895Lw\no6kdRCtI+PUQjDGzhs+N4FNVFel02lbwcbpRk9cujDEUCgXIsgxJkhCNRrG+vt5xw4mI3wKLp7ZL\npRKSySQkSepIoPqxLxKO3uFF7/V6HYwxrKysNK0j480kojjwkjYcFOEX5ug0u9fLo8JO9YOKoqBc\nLiObzW7xnOTnvlmZAGOsZyyIeI0fQThBwq8H4ILv+PHjWFxcbGlboaoqUqkUCoUCZmZmmhoCByX8\nOrmhWAXf8vIyJiYm8NBDD/Wc6TLwR6F19OhRc4TZxMREz6Sgg6Tf9tsu4ufXqY7MMIyGdLHd2LJ2\n0oaDFPHrxW5iK+J5F1OjdvWDYpmA3bg6wzC2fH7CgoQf0QoSfiFijfBVq9WmIk0UfLOzs64mQPg9\nW9ea/nQDF3ypVMpWQPndieuH0OURPsMwMDs7i9nZWc83su0spLYjog+diGg7Yk0b2qWLw6zNHETh\n5/W4zTwnRUFYLpdNmyZumwXA9/rBdimVSti5c2coxyb6AxJ+IeCU0o1Go7YiTVEUpFIpFItF14KP\n4zS9wwtcXLX6Zs0YQ7FYhCzLAIDFxUVbmwE/o5JeaxDL5TJkWUa9Xsfi4iI2NjY6jvKJbPcI2iDh\nZDvCo4N8bjH3HuR1Yzy9rGkaotFoV4RRPwuwdmGMBZpi5mUC1hGFfAZ3LBZr6Cq3MyGPx+OBp8CL\nxSJF/IimkPDrIq1q+KwCSFEUyLKMUqmEubk5HDhwoO1vkUF04bZa063g44RpusypVqtIJpNQFAWL\ni4uYnp5GJBJBKpXyZW/92JG7nYWq34JIbCYREb0Hc7kcKpWKOVLLmioOwntwkGr83NRF+00kEjFr\nPhOJhPllwM6EnNcPxuPxLQ0lftoMUXMH0QoSfl3AbdMGF1S1Wg2pVMoUfKurqx2nDYISfnaioF3B\nF8Qe20311mo1JJNJVKtVU/CJNyy/RKnXdURhKgoGv2acWulHodqLiN6D1WoVo6OjSCQSDeniarVq\nzi62MyX2IgoGKdUbpu+kNQPSzIRcrBvN5/Nb6get4+rafU3lcpnsXIimkPALkHa7dAEglUqhXq9j\nfn7ek+DjSJJk1p74hVWoMcZQKpUgyzIMw8Di4iISiYTrC5afptCiIXSz4/Noarlcxvz8PHbs2GEb\noQhb+NVqNciyjEqlgoWFBczOzppRBLHZoBvRI8Ib4jXAyXtQVVXz/IpNBVYx6HaGbRhRW55y7bYI\nC9NSxe2xm9WNivWDpVLJtBmyayhpdqxisUgRP6IpJPwCgAs+PjKtleCrVqtmDd/ExAT27t3r2wUs\nyFSvV8EnrudnqrdZ84mqqpBlGcVi0ZW4Dkv4Wfe5vr6OSCQCVVWbTq6wix4FHR3sR3oxjS02Fdh5\nD/IoUbFY3DLD1smDLgybkTBSruJxw8BrTWOz+kG7qTR2jUQ8Mlwul6nGj2gKCT8f4VM2eINGqwtB\ntVqFLMuoVquYn583OwD9/NYa1KSNcrmMjY0NT4IvqD3y9cT3UeyIbqde0u+mjFY3J03TIMsy8vk8\nZmdnG/bptI9m0SM7KxI3c20HoRmlX4SJkyhw8qDj3oPDw8NQVRVDQ0NdFUX9YOXSD8duFhm2NhKd\nOnUKb3vb2zA9PY35+Xn84Ac/QLVaxYEDB7C2tkbRf6IBEn4+II5Vc3PRq1QqSKVSqFarWFhYMNOM\n6XQ68LSsFxhjKJfLqNVqUBQFy8vL5ngkLwRhuszXE8fYtfI8DHJvrSKRuq4jnU4jm81ienq67X3a\nHc8upWSdYCDOtRWjRzxdR/iHn4LIyYOON5OIor9arSKfzwc6skxkkDqJgeC7ia3YNRKtrq7ie9/7\nHu677z68//3vh6Zp+MpXvoLDhw+jUCjghhtuwItf/OKu7I/ofUj4ecBO8DW78FQqFciyDEVRbOvK\nwujAdQtP6XJ7ipmZGUxPT/uwQ/9fdyQSgaZpyGQyyOVynoRUEBE/EcMwkMlkkE6nkUgksG/fvi2d\noX7iNMHAGh3UdR0nTpywrS3bDtGDMNOCQSI2kwBnP1/Dw8OYmJiwFfxiylBMF3t5bwapk5gfN4zU\ntpXR0VGsrq4il8vhHe94B+bm5gAA+Xy+5SxxYrAg4dcBhmGYN2qgdQ0f94ZTVRULCwtbOkc5Tj5+\nXvAqqsrlMpLJJDRNM/d+5swZH3fob3MHF+JHjx51HGPX7t78rD/kGIaBXC6HVCqFsbEx7N2719XI\nuiBuLnbRwaNHj2J5eRmMsZbRQaoddEeYna5Ogl/sMC0Wi1AUxfxyZzehws3+w0q5hhXx67U5vQAa\navympqbC2g7Ro5DwawMxwnf69GlMTEw4pkp4WjSVSkFV1QZvOCd6KeInilXr3oOoyfMqeHVdRyaT\nQSaTAQCsr6/70tnmd8exYRjm2Lrh4WHs2rWroXarl+AD7FtFB8Xawe0YHfSLXrM4EVOGolAwDMOs\nH+P1g9YOUzFCaD3Hgxbx6zXhZ+cnSRAiJPxcYJfS5WLFKvy44ONpUR4lc3MhDEr4tSOqmgm+oPbp\nRVwZhoFsNot0Oo3x8XHs3bsXp06d8lQfZ92bHxE/Xgd09OhRxGIxrK+vNxRs9wtOtYPWMWYUHewN\nOhFhkiQ17TBVFAWVSsWxezys2tAwI429IvxoagfhBhJ+TWhWw2cdhcatTVKpFDRNw+LiYtuND2Gm\neiuVCpLJpJmOnpmZcdy73/N/O7FzsaZKd+/ebdY19dIIOKBx7u/8/HzT97ZfcRpjJkYHuVmtYRhb\nIkfdFgu9Fn3r9WO28h4Uz3GtVnOsEQ3SWmYQu4mtlEolMm8mWkLCzwZR8HGsFxQu0qxedgsLCx13\nugbtuWe3J7HhpFn9oXVNP7uP23ndjDFT8I2MjNimSv2uy+t0LS6m6/U6lpaWsLGxgfHx8b4QfX68\nh+1EB+v1Ok6fPo2RkZHARlmFTVhmykG+f3bnuFQqIZfLYW5uzhSF3HtQkiTbdLEfe6SI39n3niJ+\nRCtI+FkQjZebEYlEUCwW8cgjj4Ax5tnLDghO+NnZiHQi+Dh+1r3x9VrdFBljyOfzkGUZ8XgcO3bs\ncOxUC1v4WcfA8QifLMue9rVdBJBddPDo0aNYWFgwm0maRQf7uXawXyN+7R7TKQIseg9a59da/SXb\nLQkYtKYSO0j4EW4g4Weh1R8wYwyFQgHVahWqqmJlZcXVPFo38BSq3xdr0dBYNI1eWFjAzp07275Y\n+jlpQ9yfHfz9lmUZ0WgUq6urLVMZfs/+dfta+Ri4UqnU4M/YyVqDBvels5ta0ax2sNOZtv2cdu3X\nY7byHuQNJZ02DFFzB9X4Ee4g4WfB6SIpCpBIJILR0VFMTk76OhPRKTrnx7qVSgW5XG6LaXSn6wUx\naUOEMYZisWi+38vLy5iYmHD1vnQ74lev15FKpZDP5zE3N9d0DFy/CL9eEalOkSPRhsQ603a7RAf9\noJeEnxNW70FOM7NxqxiMx+OhGjj3ymeMIn6EG0j4tYCnGFOpFCRJMgVIMpkM5MZoN27MC9VqFbqu\n4/Tp01hcXPQk+Kx79AtRZPCuaN4MsbS01HZE1W/h5/RaNU1DOp1GLpdzNRWkV9JB/Y6TDUmz6KBd\nM0mvC6J+PaZfAsyN92ChUICqqtA0DZFIBPV6HYyxhnRx0PRSxK9cLmN1dTXsbRA9Dgk/B8Sasmg0\nuiXiFEQHrriu1wtWrVaDLMuoVCqIRqNYW1vzrdsrqIifaBa9tLTUcc1k0Kle0TMwkUi4NonulSja\ndqWd6KCmaYjFYtA0LfARZuJeBkH4BRkBa+Y9eOrUKQwNDaFer6NUKpneg3aj6vzcn2EYgX5u2oFS\nvYQbSPjZwLtGY7EYVldXbTsxJUmCqqq+H9uraBEF3/z8PNbX13H8+HEfd+i/8KvVaqjX6zh16pQr\no+tWBJXqtfMMdDNtw899dVM8bgeR6iQUkskkAGBoaAi1Ws0UhE5pxH6N1g6K2JQkCZIkYWJiwrSb\n4c0kPF3My114M4n1PHfqL2kYhqfpQH5CqV7CDST8bKhUKi2bCKw+fn7RqUceF3zlctkUfPxbbS8Z\nLouIjSYAcODAAd88x/wUfrquI5vNmhYyomdgWPsKmn4VOm6RJAnRaBQzMzPmz9qpHewkOhiWCOs2\nveKnJzaTNPMe5EbU1g5y/t+tznMvpXpJ+BFuIOFnIRKJYH19veUFM8hUbzuiqlarIZVKoVQqYX5+\nHmtra1suVL1guCwiRiUXFhawurqKBx980LebhV+vlzGGWq2GYrGIer3e1ELGDf0k/LY7duLETe2g\nKAij0egWQdhr0cGwavzCiIC5rS104y9pd56topAfi4Qf0W+Q8OsQv8WUuK4b4Sdah8zPzzftJO1G\nF64brHvmUUk+zszPKQNeBBY35U4mk9B1HSMjI9izZ4/nvZHw60+8dBaLUaOwImGDkOrlx/UiwJqd\nZx4hLJVKyGQy0DTNtB/in4GwxxHquo5yuUzCj2gJCT8b3Nygg0r1tookiuKplXUIJyjh5/YCr6oq\nUqkUCoWC7Z75KLxeEH68wUTXdSwuLgIANjc3fbuY94vwI5HanGbRQTGNKEaNeI0on07SjejgoNT4\nAcEYKYvn2cl7sFKpoFQqYXNz0/QetEYIuxERrFQqAEDCj2gJCb8O6XbET1EUpFIpFItF14Kv1Zqd\n4laoif52s7OzOHDggOOe/RQanbzearWKZDIJRVEaGkyKxWJPjH/jo+ry+bxjyolwT1DiJBqNYnR0\ntGGMII8aHTt2DAC2RAetTQZ+dYj6GUVv97j9GPFrB9F7MJvNYnl5GcPDw+ZkElVVXXkP+vk+lUol\nACT8iNaQ8LPBzR9jkM0d4rqqqkKWZVPwNRNPTkSjUV9n64r7tLvQapqGVCqFzc1NTE9Pt/S3E9fz\n46bXybSNcrlsO8nE70aRduFG1slkEtFoFFNTU6jX6yiXy+a4K7uRZr1iL0H8MWoEAPPz8+bnwBod\nLBaLgdQO9quPXzswxnpiVi/3HrQ2kzh5D9rNLe7UyqtYLAIg4Ue0hoRfh7Sb7nRLNBo1vzFywdcq\nWuZ2r35i19mr6zrS6TSy2SympqZc+9s5redlb63EWqv0cztr+bkvkXK5jI2NDTDGTB9JTdMa1uAp\np1qtZtYgKYoCSZJ6vvFgkLA7782ig25EQiuBPwiRNyu9+HrdlgVYvQdFMejGe5BH/PzyayW2LyT8\nOiQSiZjpXj/d4Q3DQKlUMtOjbqJlrQhC+ImdvVZD43379pkRjk7W82NvzaZt8GjkzMxMS0EdhvCr\n1WrY2NiAoihYWlrC1NSU4w3NbtyVHyPNtnuNX1ivrZUwcSsS3EQHwxR+YUQZwxCbXiKNTsJfTBeL\nkX3eTCJ+ARCbSUqlEkZHR7syrYTob+gTYoPbi5af6V4egcrn84jFYr4IPk5Qwk/TNBQKBaTTaUxO\nTrZtaCwSdMSv02hkN4WfqqpIJpOOaed2jtPuSDOreNjOoo/TTXHiVQy5iQ4Wi0Wk02kzOjg0NATG\nGCqVSlfT//08Jq5d+Gv169ii96CIYRgN53pzcxOKooAxhiNHjuBnP/sZxsbGMD09jUKh4OsMeWL7\nQcLPA354+YkNEDMzM1hbW0M2m/X1W5vfws8wDOi6jhMnTmB8fBx79uzpyNBYxM+In920jVQqhcnJ\nybajkd0QfmIUcnZ2tq3GnXZwsquwmtny6GA6nUa5XDa7UINsJBkEoek3zcaX8W5TAEin01BVdUv6\nnz/X73MaRvQtrPRyt16reO5EuN3UmTNncP/996NQKOC5z30upqamcPDgQTzucY/D3/7t37adgSG2\nNyT8bHB7IfTS2WsVfDzCV6lUAonO+bEm7yxNpVIwDAOLi4uYm5vzYYf+ilN+XrLZLGRZxtjYWMfi\nNMhIpJgin5qachXl9TsF62Rme/LkSYyOjkKSpK41kmzn+sNuRsEkScLo6Cii0SgKhQJ27tzZEB1U\nVdVMFXdSO9iKQUr1hm3eHI1Gsb6+jksvvdScd37bbbfh1KlTePDBB3Hq1KnQ9kb0LiT8PNBJqlcU\nfHYdr0GlZb2syRjD5uYmZFnG8PAwduzYgXQ67WtU0i9Bw82XFUVBPp/Hzp07e2raBq8J4gJ6fHy8\no5rIoOG1g07eZbVara8bSbotTsK2VRGjgyI8Oiimi63RQS4M3UYHw36t3SRs4SdSLBaRSCQgSRJ2\n7tyJnTt3hr0lokch4eeBdiJ+9Xod6XTatDhxqjELYhRcp8KPMYZCoYBkMolYLIb19XXTpsDPSJiX\nPXK47YksywDOvo979uzxZV9+Cr9arYbDhw9jeHgYu3btaqjZ6nXERpKpqSkA/jSSEMHgRgzx6KBT\ng4F1WoWb6CBF/MKhVCpRRy/hChJ+NvjZ3GH1tGvVVBBUxK8dMSl6x0mShNXVVYyPjze8L34LIi9C\nko9XMwwDS0tLGBkZwcMPP+zbvry+Th6FzOVyAID19fWOL9DdrIVzcyw/GkkGoQuxn6JgYoOBNeLr\nFB0UBaGu633zWr0SVlOJHXyaE0G0YvtfcQOkWXROFHztdJEG4Q/odk0uUGRZBmMMS0tLmJyctH1O\nEGPg2hU14rQN0fbE6nXnBa/Cr1KpIJlMol6vY2JiApIk9cW3cq+fvXYaSfiEiWw2i9HRUVNABHlD\nHbRUrx+4jQ4CwMMPP9xVY3GK+J0Vfn5kOYjtDwk/G9pp7tA0reFnmqYhnU4jl8u1bWLMj+3nFAu+\nz1a+Xlzw8Rm1iUSi6fsQ1PxfN9RqNciyjEql0pVpG52spSgKkskkKpUKFhcXMTMzg2w2C0VRQtlP\nL+DUSKJpGo4fP45oNIpKpYJcLmf6lvGOYppI0j7dEJvW6CBjDIcPH8a+ffsaooNO5sR+dYuHFXnr\nNeHXD18qifAh4eeAmxtsNBqFqqoAtgo+LwX7fgs/cU3rRUqMSC0uLjY1C7au52ctottpG3yayfz8\nPNbX120vun6KUv5euL2J1ut1yLKMQqGwZY/9LNqCJBaLQZIkTE1NmX8zYiPJdphIElbEr9vw1xlE\n7WCr44Zl4NxLwo/GtRFuIOHnAT4Dd2NjA7lcruOpFVa60dkrpkkXFhYwMzPT1o1JkiRf5/82E5Ka\npkGWZXOaiZtpG4B/N1s3UxB0XUcqlUIul2uw57Fbpx8Ie69OE0k0TTPH03lpJAmrJqzb9FKThdva\nwU6ig5TqJeFHuIeEX4domoZ8Po9SqYR4PO6rJUeQnb2t0qRu8burt9W0DTvrGzfr+Sn87GjXILpf\nhF8vIgoHL40kgzLGrF+O6SU6yP87zOaOXik/4HYuBNEKEn4OON3sRTEyNjaG4eFhrK2t+XrsICJ+\nALCxsYFardY0TeoWv7t6xddsGAYymYw5Cq7T2b9+fRu3+yyI3oYjIyOuDKLDjqJtV9ptJBkeHka9\nXkelUjHFYdCioV9EWK8cs1V0kJ9bHh1kjCEWi8EwDF9rB1thGEZbNdxBwUUy1fgRbiDh5xJxygKf\nS8sYw4kTJ3w/lp/Cj9fFKYqC0dFR7N+/35dvqH6L00gkYr7HqVQKY2Njnmf/+tngwV+raHUTjUax\nY8cO1wbR/ZRa7HeR2qyRRFEU829iY2PDbCThj+cNJb0SyemUfhZ+TjhFBzc2NiBJEiRJso0OilFC\nP+2DeiXVy7upKdVLuIGEnwP84mUn+PjNpF6vBxKZ83sG8OzsLCYmJpBIJHztFPbrtTPGUK1WUSwW\nYRiGL8bGQYxaK5fL2NjYgGEYWF5exsTERFs3uX4XU9uBWCyGWCyGeDyOmZkZjI+Pb2kkyWQyvjeS\ndEuEsXodxunTiCQSYP/Xzd9Nwuiu5ccbHR1tSHVaz2u5XPa9s7jXhB+legk3kPBzQNd1yLKMTCaD\niYkJ2+hTELV4gDdRJfoHik0GJ0+e7KlJG0Bj9AwARkZGsHv3bh92538q+vTp02bn8/T0dMfGuF73\n1E9Rw36hWSOJOJFEVVVomtbRRJJuCH7lC/8f6nfcAeOhh4DJSeBPnoTI378dWFoK/NicsLpc7QSn\nm/NaKpXMOdRi1NdtdLBXhF+xWARAET/CHST8HEin01AUpWm6kd/I/f7j78QqRbSTsZsQEqbvnh18\n2gZjDMvLywCAVCrl1/Z8EVk8TV6v15FIJLB7925P57nfIn79tNd2aRWBc6ox89JIEqRoV2+/A8pH\nPwpwn8hCAdKP/xtD+TzYV77ctS8MYTVZuBWczWoHO4kO9srkjlKphEgk4mkuOTE4kPBzYGlpqaX4\nikQi5tg2P4VfO5FEsdmkmZ1MEDV5nazn5BtYqVR8HwHX6Xpi1HR2dtacTev1HPs1/q0b9MLNrBfp\npJGEf3E0DCOwCFH929/+o+gTiPzmt9Du+i/EX/B8349pR5jdtV6b1ZpFB1VVRblc3hId5HOq4/F4\nqKMHuXlzL0Qfid6HhJ8D7Uzv0HXd1z96Nx557Xa++m243G4qtVarIZlMolqtmpMsrNGQsCOSYj3n\n1NSUmSYvl8u+CC4vwo+nxVOp1Jbas34wMN7OtGokESNIR44c6Sil2Arj/8oltuzNMKA/eLhrwi+s\n1GcQglOMDoqI0cFSqYRCoYB0Oh3YVBI3FItFSvMSriHh54DbP1Ye8fOTZiKN+8al02mMj4+77nzl\nZtN+7tHN61ZVFclkEqVSCQsLC9ixY4fjtI2wIn58TmwqlbJ9T/1K0Xa6TqVSwcbGBnRdx9zcHBhj\nDQbGooWF+D8Sg+HCG0nGx8cRj8dRLBaxvLzcNKUojqhrR9BLC4vQjx3f8nMmSYju69781n6N+LWD\nGB1MpVJYW1szx3c2iw5ap5L4+T7RuDaiHUj4eSSIBg87MWkYBnK5HFKpFEZHR7F79+6WvnEiQdX4\nOV3oxa7iubk5rK6utpy20e2IH2MM+XwesixjaGjIsZvYz9q8dtaxm/er6zoMw9hiYMynWYizbv0Y\ng7Vd6bZAEUeZtWo4KBaLSKfTbTWSxP/8fOj33w9YZoezxz8esRe+MPDXZx4vxBq/MKxruOB0Ex10\nqh0ULWc6Fa8k/Ih2IOHnEb9TqHxN0TeOGwUPDw9j586dHRXwBlHjZzcdw9pk4nbaRrcjfqVSCRsb\nG4hEIlhdXW160fQz4ucGscZwbm5uy7xfK9FoFOPj4xgfHzd/xm84XBAWi0UoiuJ6mgVFC7tHs0YS\nfg5bNZLEX/VKsPwm6t/8Noxjx4DxcWjnPAHSu65ApIup10GI+HH4a232epsJfS4IxS9rnUYHaWoH\n0Q4k/BwIM9UbjUahaZop+OLxONbX1xtu7O0S5PxfLn55fVwikdjSVdzt/TmJtWq1apr2Li0tIZFI\ntDzX3Ur1GoaBdDq9pcawE5xuOLwYvVarNTQhiClGPgLLCzxCXa1WzVT01NRUW1HqIOl2NLMTQRSN\nRm3Nih0bSf7iL87+78QJxFdWUB4d7XqX53aq8WtFp69VFPp2X9acooPWUXXisWlOL9EOJPw84neq\nlzGGSqUCVVWRyWRaRqPcEoTwi0QipkBtt+bQbi3GmG8XcOvrtUubuj2OX2loJ+HHo7rJZNLzxJJW\nxx8aGsLQ0FDDTcJuJmq9XkcsFoOiKA2i0O2Njndu84gIr/VcXl4O5LW1TbkM9sAfoEUlRGZmIa2t\nBhoZ83OKTKtGksrevWdrzYpFVKtVVCoVXxtJmhFWyrWfhJ8TTl/WRAsha3Twpz/9KYrFIsrlMhKJ\nRGgRV6K/IOHnQLtdvV5hjDV420UiEezdu9e3P2K/hR+/2B47dqyjmkMrTqljL+vxCJcsyygUClvS\nphnt/+0AACAASURBVO2u5deeOPycb2xsIBqNdpzG94rYhMCRZdm0I7FLM4pi0CokKpUKFEXZUk8o\nSRLy+TwWFxe78rqc0I8dQ+z+XwPzc2DxIRhJGcbx44g94+mIBCiKgrwh253D06dPY2RkxBTwdvVl\n/Dz61RkehoGzWGcXxnGDJBKJ2J5bHh1cX1/HT3/6Uxw9ehSPPPIIfvzjH+PgwYN49KMfjec973k4\n77zzAt0f0Z+Q8GuCmxu+H92yXPAZhoGlpSWMj4/jgQce8PVC5pfwY4yhUCiY+11dXcXMzIwPO2xM\nHXtFtD9pp9bQaV9+Cz+ectY0DUtLS5icnOypb+r8hjM9PW3+zJpmzOVyqNVqW4REpVJxPIeqqnbr\nJdhiKAqMBx9EJPZHURqJRsEUBfqDDyL22McGctywIjHW6K4fjSTNMAyj6352g1RXyOHRwec973l4\n3vOeh0suuQSXX345XvrSl+IPf/gDHnjgAZw5cyaUvRG9Dwk/j3iJ+JXLZXMyhGhmzKNpfl7QvAo/\nMSIJACsrK2Y3rF/4EVnjdje5XA7Dw8Mt/Q27tS++jmEYOHnyJMrlctsp57CxSzPaCYlcLodSqWTW\nMfH/8Rm5YWKcPAUWjeHs6Wz0kWTpdGj7Cgq7pp1mjSSdTCQR2Q4p13aO2yt/u6VSCYlEAktLS1ha\nWsJznvOcsLdE9DAk/DzSSXNHtVpFMpmEoii2s1+57YNhGG3ZbzTDi/Arl8tIJpPQdR2Li4tmQ0Qm\nkwnddJkjdj+PjIxgdnbWrGnzih/CT9O0hvQp9/7qVdy+ZjshsbS0hBMnTkDXddTrdaiqikqlgnq9\njomJiS0RQr8+465gTW7WRnANH2HVvrXTpNZWI4mNUTGPjIfVXdttwppLbAc1dxDtQMKvCW5TvW4j\nftbpFdPT044XDr5umMKvlUDtViduM3hKN5lMIhqNmt3P6XTaN8NqL8JPnLDC7RbCrnELmmg0ioWF\nBWQyGXNyga7rGB0dRSKRMMUErznjUfNcLoexsbFAp5FIy8vQHz5q+7uITyULdvS68LPDVSOJpdmA\nXw+i0WjgjSScMCN+vSD8+DWQhB/hFhJ+HnGT6lUUBbIso1wuY35+3nF6hXVdv6NpgLuLlbjfhYUF\n7Ny50/Y5YY9ZEyOR1jo5P9+/TgWptVN3aGgIuVxuIDrvJiYmMDY2hlKpBF3XTUEHYEtUqV6v4+TJ\nkwAQ+DQSaXISxvo6WCq1ZS3pwH5Pa/caQX3OmjUbbGxsmOUW1kaSoMaYhZVy7RXhpygKNE0j4Ue4\nhoRfE9xcTJqlelVVhSzLKBaLmJ+fbyu9F7Tvnh2qqiKVSpkdsK2mbQRhuuzmNfPIaa1Ws41E8rX8\ntNBwey56pVPXD7y+f5IktTSV5el4SZIwMzNjpua5hUWtVvN1GgkAxB73WGilIv6v0A+RxBSkfXsh\nBWgz048Rv3bgzQbRaBQzMzMYGxvbUv/JrYI0TcPQ0FBDZ/jQ0FDH2Y2wUq69IvxKpRIAkPAjXEPC\nzyN2qV6rgDpw4EDbF7UgRsE5iUlxUsTMzExb0zb8jvg1ExuikG429xfwX/i5WUs0h15eXrbt1PXT\nsiZI/Hz/OiEajWJsbKxBNDtNI4lGo1sMqJs1IAAAW1xEdG0NcR+bk5qx3YWf3THdNJKIM6fbbSTh\nhJnq7Wp9qgMk/Ih2IeHnEXFmLR9X1q6AarZuEHvl6LqOdDqNbDaLqamp0KdtuBGms7OzroR0N1O9\n3JzYTaeuH4KqH4RjELQ7jcTqNyimGMN4DwdN+Dnh1EhSr9dNUe+mkaSdYwaBYRihd6kDJPyI9iHh\n1wQ3FxMepdrY2MDm5qZnzzhx3aAifrwGJ5VKYXJysmPLE7/3aBVF1hFm7QjTbqR6rTN1W6XG/d4X\n4W4aSblcbkgxDg8PwzAM1Go1RKPRrkSLelWE9coxxfMo0qyRhAtBv5q42qWXUr2xWKxnxiESvQ8J\nPw/wiBn/73YjZs0IYgZwJBJBPp/HiRMnMDY2hj179ni6WEiS5OtFV4yecmHa6Rg4PwWWNQUtdup2\nW5B260bud+NOt3FqQBD9BjOZDDY2NlxNI+lHtoOnXrNGElHY67qOcrkceCOJSC8Jv14zgCd6m/6/\nugWI0x+SruvIZDLIZDKYnJxEPB7HwsKCr2F/P1OVjDHk83lUq1UYhuFbw0EQ4qBcLiOdTiMej2PX\nrl0N6aB2CCLVa/UK7HSmbj8Iv+2IJElmijGTyWBtbQ2xWMzVNBKvFjP9FH3r9WNaU/5cfE1NTTk2\nkojn0ksjiUivGDgXi0Vf5rl3wqlTp/Bnf/Zn2LdvHyKRiDmM4IMf/CCWl5cBAN/85jdxyy23QNM0\nGIaBiy66CK973eu2rHXffffhuuuug6ZpWFtbw4033oipqaluv6SBgIRfG4gp0omJCfPGf+TIEd/T\nsn6MguP+TrIsIxKJYGxszOy48wM/u3pLpRKKxSIAYH193fOFzO9Ub71ex5EjRxCJREyvwLD3RXiD\nz4d2M43E61izMM75dhV+VviYOLtGEjHKKzYEddpIYj1uL0T8whR+wFlf0m9961vmvz/84Q/j2muv\nxc0334yvfvWruO222/DpT38ai4uLKBQKeOMb34jR0VFcdNFFDetcffXVuPnmm3HgwAHcdNNN+Nzn\nPod3vvOd3X45AwEJPxcYhoFcLodUKmWbIg2yHq9T7Dzuzpw50zOTNjhiJ+zo6CiGh4d9uYj5JbCq\n1SpkWYaiKFhfXzenlnjZlxe6KSAGVaA260blAkIcaybWmzWbRjIIIiysYzoJMDHKKz6eNwS120ji\n9rjdpNemdjzlKU/BXXfdBQD45Cc/iRtvvNE0rU8kErjxxhvNhhSR733ve4jH46jX60gmkzh48GBX\n9z1IkPBrAY/wjYyMOKYeg6jH61RUidM2lpaWzPm/Xtb0e4/AWdPRZDKJSqVidsKm02nfBLTX18qt\nY/gMTEmSfEk7eBWkuq5D07TAuwl7IYUVJJ0IFDuLGcZYQ0RJnEYiCgi/vxi2IqwIYz/UFbppCHJq\nJBGjg70S8ePXqF6gXq/j+9//Ps4991xks1k88sgjeOITn9jwmH379tk+Nx6P4w9/+AMuvfRSxGIx\nivYFCAm/Jui6jmKxiB07djRNjwYR8WvXx69Wq0GWZVQqFcdpG37vsxNxVa/XkUqlkM/nMTc3h/X1\ndXOffjaLdCqwdF1HKpVCLpfD7Ows9u/fj1qthlqtFuq+xDIDfnO1etcFNeaMcIafB6vFjKZppjVJ\noVBApVJBpVJBoVBwHVHyAv+MdPPzEMYxxeN6xW0jCZ9IwscM8r/DIBtJmlEqlUJN9cqyjAsuuADA\n2S/M55xzDv7xH//R/H0717uDBw/i7rvvxm233YZ3vOMduO2223zfL0HCrym8waAVYUb8rNNBRCFl\nt6amaV3fI9DoGehkeeNns0i7AksUVolEoqFTNwwzaA5jDIVCARsbGxgZGcHu3bvNmw5POdqNOfPj\nZjSoqV6viKliHlE6c+YMxsfHEY/HA5lG0guE6acXVOStmXfksWPHIEmSYyNJt85lqVRydZ8KCmuN\nn8iOHTvwu9/9Dk996lPNn/3iF7/Af//3f+OKK64wf6YoCn7yk5/ghS98IQDgpS99KW688cZgNz7A\nkPBrgZsbdTenbHA0TYMsy8jn865NjaPRKFRV9W2PboRaO56BfjaLuBWlvOM5mUxiZGTE1uImLOFX\nqVTwyCOPgDGGtbU1TExMwDAMM/1krUFz8q7rpCGBIof+whhrexqJncWM2/MSVso1jM9Nt19rJBIx\nz8X8/Lz582aNJNYRde02kjSjl1K9Vt70pjfhhhtuwKc+9SksLCwgm83ihhtuwMUXX9zwuFgshve9\n731YXl7G4x//eDNdTAQDCT8fkCTJV0EFOItJN5GzZvvs1og1q/WJG8/AICJ+zW4KfKZuq05dvztx\nW63F6x+r1eqWWcTNbhbNvOt4utrakCDejPoxytQpvTL9pNU0ErvmA6dpJCK91mQRJGHU2tkd000j\nST6fR61Wa7uRpBnFYrFnhd/FF1+Mer2ON77xjeZ19JWvfOWWjt5oNIqPfOQjeM973mM2JF533XUh\n7Xr7Q8LPB7qR6hVNgzudttGN5g5uIZNMJhGNRtuyPvEz4tfspler1bCxsQFVVbG0tNSyU7dbKWjr\nJJBmaXu32N2MxLqlWq1ma3HBPbcIf2hHiHU6jUQUhIPS0QuEE2l0KzadzqVYquGmkaQZ5XI5tBq/\n9fV1s4PXide97nW2vn1WnvKUp+COO+7wa2tEE0j4tSDsVK/VSqZT02BxTb/3yC/4dhYy7VyQg9of\nj2SJ9ZC8k9jNxTtoQSqmw6empnwZ+dcMMcrEO5Wts1IrlQo0TcORI0e2iApqImkfP0RRq2kkPKKk\nqqp5TcpkMua5i0ajgZ63sIRfGJFGr2KzWdrfrpGk2USSXk71Er0JCT8fCKKrlwvOw4cPY3h42NMU\nC47fwop38FWrVaRSKdRqtS2pyXbX8zOlytezduq6qYcMal/iWtbGDa8j9LzuS5yVOjQ0hEqlgvn5\n+cCbSMKgV1K9XnFKL5ZKJciybH5xtE4j4efOTxG/HZs7unlMp7S/GOnljSSqquKmm27CwsICpqam\ncObMGRSLxZ7y8yN6FxJ+LXBzIfMz1SumSgFgZWXFt29zfgs/Xtd4/PhxLCwsYMeOHZ4uhn7vDwAy\nmQyy2eyWTt12CEL4VSoVbGxswDAMs3Gj12hmZMwjg9aUo9Viphd8znqBbooift5isRgWFhbM49sJ\nCC/TSKyE5WvXD96BneL0N2gYBi6//HL86le/wv3334/bb78dH/vYxzAzM4PHPOYxeNvb3obHPvax\nge+P6E9I+PmAXxG/UqmEZDIJxhiWl5dx+vTpjtO6dvglrMRaNADYvXu352gk4F8tHe/U1XUdlUrF\ncyTNT+HHGEM6nUa9XsfS0lLH0dEwiUajGB8fpyaSNui2NY5VDAU1jaTZMbtBWKbRYU/tkCQJT3zi\nE7G8vIybb74Zt956K3bs2IETJ07ggQcewMzMTGh7I3ofEn4+4DXiV6lUkEwmzQHXfNoGd4f3C6/C\nzzAMpNNpZDIZTE1N4VGPehSOHj3q2wXQj1o6sVM3Ho9jZWXFc/rUTYdwK3RdNyeBTExMYM+ePT0d\nDWtX7DqlHN3MSR0ZGQllFF23xUIYZsqtcJpGIlrMOE0jsdZ7htlQsl0jfq3g880TiQSi0Sj27NmD\nPXv2hLwrotch4dcCtxdPXdfbvvDVarUG246ZmZmG5/fKiDXGGHK5HGRZ3tJg4ucevazFO3UVRcHy\n8jISiQSOHDnii6DwclOxGkMnEgmMj497umn0S4TQaaqF2ESyubmJWq0GwzCQTCbNec3brYmk26LI\ny/HEWkBxPes0Emu9J29G66YoCkuA9Yrw4zNve7FUhOhdSPj5AP/GKXaQNkNVVSSTSZRKpaa1cX53\nC/MojtuLFm8+SCaT5hQTa0rXT+HXSUqVD/QuFotbRtUFsbd2DHT5ezc0NGSmm8+cOTPQEzGsTSTA\n2ffq6NGjmJychK7rtqKCRwb7rYkkLPwWmnbTSIBGW5JisYh6vY4jR44gHo9vqfcMIsUflml0Lwk/\n3lxFEG4h4dcCtxcVnu5tdnGzzqldXV1t+vggunD5mq0uWmK94erqquM3yiDElZubltipOzMzY9up\nG+bEDd64Yffe9YPw87vDutWxIpEIxsbGGm5gYhNJpVJBNpv1pYlkEDzuunU8MVUciURQr9cxPz9v\n6xPpdRqJHWGaRvdCrWqpVKJOXqJtSPj5BI/O2XWNapqGdDqNXC7X1rSNILpcW61ZrVaxsbFhNh+0\nMjf2W/i1ipxyewpZljE5Odm0U7fbwo9HcsvlsmPjBkWr3NOsiaRZM4LoW9crbFfhZ3fMZj6RXqaR\n2BFmxK8ThwC/4TXDBNEOJPx8wk4AcQPVTCbTkZ1IEMbQTo0oiqJAlmWUy2UsLCy4Njf2c6oF4Nzg\nIXreDQ8Pu+rU7Vb9oRh9nJubw9ramuN751WMDrpwdNNEkslkUKvVEI1Gt0QGgzTG7iV6bVavH9NI\n7P6mBmlMnB3k3Ud0wmBcBT3QTqqXizRe0J9OpzE+Pt7xtI1uRPzaTT/bree36bL1NZfLZWxsbIAx\n1pbnXdARP8YYstksZFl2Ley7mUL1Sr/ss1kTCY8M8ggTcNacmvtldquJJIyIX7dhjLUdZXUzjYTX\nfIrd4FwQ6roemvDrhS9hFPEjOoGEn09IkgRN08w05MjIiOdpG5IkQVVV81vw/Py85/QVF366riOd\nTiObzbaVfnZazy9EIcm7nmu1GpaWlkybG7cENWOXi4aNjY2Gxo121+lleuGm5gW7CBPvTK1Wq46T\nSIJqIgnbx6+fjukU1RXHmfFpJMDZc51KpQKZRuJEr0T8aFwb0Qkk/Frg5gLCx4LxDs719fWGb7Cd\nUiwW8dBDD5n/jsfj2LlzJ/bu3dvxmpFIBJubmzh58iQmJyexb98+Tx1hQQg/VVWRTqdRKBQ8TQTx\ne8YuYwzVahWPPPIIdF3HyspK22kWv1PjhHt4Z6okSYhEIlhbWwPQ2JlaqVSQy+VQr9ddpxvbOX43\n6VfhZ4eTxUwul0O5XIYkSYFMI3EibANnTrFYJOHXY1S+9S0UP/4JaA8eRuzAfky+/XKMXXCB78c5\nfvw4Lr/8cvzHf/xH288l4ecCpygNn4nJzZcnJyextrbmy8VPVVU89NBDqNVq5jdfTdPw8MMPY2xs\nDMvLy22txxjD5uYmyuWy6xo5N/g5p1jXdWiahpMnT3Y0U9eK3xM3ePTRznMxjD0R/mBnYux3E8kg\nNHd0O/3Jm8GGhoYwNzdn/tztNBIvNZ+9EvErl8vmFxgifCrf+hZyb73c/Lf2+wfMf/sp/r75zW/i\ni1/8IrLZbEfPJ+HXIeVyGclkErquY3FxEbVazdeL7alTp6Bpmu3vzpw541r4cXG6sbEBSZIwPj6O\nRCLhi+gDzgq/er3uaQ3eqZtKpQAAq6urmJ6e9rw3P6JrvHFDURSMjo5i//79ntPtXoVft8TjdhWo\nbv5Om6UbucVMJpNpmGjhp02JVwZljJndMf2cRuJErwg/SvX2FsWPf8Lh5zd3LPyOHj2Kq6++2pzk\n9eEPfxhTU1O49dZb8aIXvaijNUn4tUm1WkUymYSiKFhcXDQtO3h3ml/wi5LdzVdVVVdrcD85Xdex\ntLSEyclJ01/OL7yIK6vJ8a5du5BMJntiBBxv3EilUpiYmMDo6Cimp6c9iz6vnmW5XA75fL7Byy6I\nmqZ+r/ELAqd0o1MTSVgj6fi+tlOq1wm3UcZm00j4uXOq+eQWM+J1qVeEH3X19hbag4ftf37Y/udu\nuPvuu3HOOefgXe96F+677z4Ui0UcOnSo4/UAEn6uiEQiqNVqDXYn4oQIwH/rFV4jaHfDaNUwIjZF\niOIUCLYZox3ETl3R5Njvurx2X6vYuCFOKzl27Jhv4986WYfvKRaLIZFIQFVV2xsVF4M04aI7NGsi\nEbtSAeDhhx+2NZ8O4jyFFX0LQ2x2+mVMnEYidsaKqWKx5pNPIxkaGoJhGD0RES+XyyT8eojYgf3Q\nfv/A1p/v39/xmq94xSvwmc98BpdddhkmJyfxjne8w8sWz+7H8woDwMbGBjKZTFO7E78F1fr6Oo4d\nO2Z2ronH2bVrl+1zVFWFLMvm+DK7pgg/a/L4eu287ladun577zmly+3g5tWapmFlZQUTExPm3vxK\nr7a7Dp9BrKoqlpeXMTk5CU3TGtYQRYZdgTu3OmlXDPbCjS0IghYoVkHBGMPhw4exZ8+erjSRAIMV\n8fPbSNmp5lOcRgKcTcEFMY2kHWhyR28x+fbLG2r8/vjzt3W85p133oknP/nJuPzyy/Gd73wHn/3s\nZ/HBD37QyzZJ+LlhamoKs7OzTQuB/Y74SZKEc889F3fffbcpFiYmJrBv374t9W/iZBCn8WXium5T\nxW736Uao1et1yLLcslPXb+89N3vjgrlUKjk2bvjVjev29WmaBlmWkc/nsbCwgNnZWUcxYOeF5hS1\nECNOXAw6nQfCH7ggatVEoiiK2YgQi8UaxMTIyEhbka2wRNh2jTKK00jGx8dRKpWwd+/eQKaRuEXX\ndYr49Ri8jq/48ZuhHT6M2P79mHz72zw1djz+8Y/HlVdeiU9+8pMwDANXX321532S8HPB2NhYS1EX\nxJSN8fHx/5+9dw9y5KzPfx/dR6MZaTRXaS67np29zO56xiZgwIfwqwp/hEsCP7sqtkMqRQUIFTi4\nCFTFxK7YYMA2vvEHVzsY8ssh4WJsUjghkHKOnYQi4EAIe1/be/V6d3SZkTS6t9Tq7vPHnrf9qqcl\ndbfeVvfsvp8q1yZr0+ppaboffS/Pg9nZWSwvL0NRlC3fbGVZRi6Xw8bGhmEDYTtavd2OR/sFxuPx\nnn6BdmT/Gjm38fHxrosbrFrQvc6JmH+vr68jFotZ9lfsJjIEQVDn0egWFv2w4gwGI0skeosI5H3q\nVF26mip+gxab5DWNppHk8/m2yi79/vVz7tVqFQC48HMZw//7fzPd4N2xYwe++93v6v67//zP/7R0\nTC78GGFHygaxK/B4PG0PfzLkn81mMTw8bCoZpFNkm1U6/dz0ckQkEjHsF8jS567buZHrNzIyMtDE\njW7WQFZNoY2iJzJIC4uIjFKphGazCZ/Pp14n8rByU/ZtP7jdWqXXEom2uqStDAYCgatK+Lnt5zSS\nRlIul7ekkdCVXSM/U6VSAQCe3MExDRd+BjDyS2hHxY8cV5Zl9UFMtmCJmTNd0TECa4GqFWraczSb\nXmKH6TJ9bsTaxu/3mzo3O4WfdrZwkN/g6RYWgbyHuVwOoihueUjR1cErRQzaCQtB1GmJRJIkVbRX\nKhVsbGxAkiR4PB5IkqS2He1aIqFxSoQ5VfEzg5E0Er2N8G5pJOVyGQC4nQvHNFz4MYIIKtbfeslx\niVG0oihbFg+sHI/l+REhQ2/qWhUwLHwBCbTIosVVIpEwff1Ym0EDr809kmWc8fFxV8zWEZHh9/sx\nPT0NoP0hJQjClvYjLQatmuJyzEE6ASMjI1u2Ui9dugS/36+7RMKq1ajFKRG2XdvLvSxmOi1rAUAq\nlUK9XgfAK34c8/A7tAGM+kQRUcWyCuLxeFQzZyt5tVrsEH6SJOHChQuo1+tb7GPMwnq5o9Vq4eLF\ni10XNwZ5XqRCms1mkcvl1LlHt1fO6IcUqTDoedgJggCPx7Ol/ei0oTGN21u9/eLz+eD1ejE6Oqq2\nG7WtRtLS73eJhOZqMY22c67QiMXM6dOn8cgjj+DixYsIh8P45Cc/ieXlZezfvx8HDhzA+Pi4LefG\nuXLgwo8hpN3L4iHeaDSQzWbRbDYRj8eRSCSY3GxYCr9Wq6VWIcPhMObn5/s+R1bnJ0mSKkRGR0f7\nFlcshJ+iKKhWqxAEAYFAwNRsphP0+nl7edgRU9xsNts2i2an8bQbccO8Xa9Wo14V18gSCX2sq225\nY5DQy1o33HADvv/97+OZZ57B448/jt/+7d/GyZMn8dOf/hRra2t45plneBWQ0xUu/BjCQrTQNh4T\nExOIRCIYGRlhmmbBIsYsl8shl8up1jITExPM2h/9CCx6cYM8tGZmZhw/r1qthlQqBUmS1PlMp87F\n6GtY/d/pVSxarVbbAonWeJosmVwtYtBujIiwXlVcI0sk5DXI59FpgTsI3JLaUa/XEY1GcfPNN+Pm\nm292+nQ42wgu/Axg9MbSz4IHbS0yNjam2nhcvHjRUcNlGlpU0Zu6m5ubzG6GVs+PXtzw+XzYuXMn\nvF4vLly40Pc5Ada3jZvNJjKZDKrVKmZmZhAKhbC2tsbknLYTnWbRiBgk7W9JkrZUm+xYTLiSW73k\nNa3QzaKEXiLRzp0Rn7pBi6KrpeKnBzdvdienT5/GoUOHVF/d66+/Hrt372b6Gg899BD+53/+B61W\nC7fddhtuvfVWU/97LvwYYkX4Ed+2jY0N1aCZtj2xYwtXURRTN69OMWb0MVl675k9FlncEEVRTbfw\neDxoNpsD8wTUovUIJIkvgiBcsYkYZvH5fIhEIohEIigWi5ibm4PP5+tpPN1vusXVcP1Zi81Owp28\nV/V6HYqi4MyZM7YvkRCcbC+7YSaXCz/3cfr0aTz//PPq/5/P59X/n5X4e+GFF3DhwgU8+eSTaDab\n+L3f+z28/e1vRywWM3wMLvwMYPTGYkakKYqCzc1NZLNZhEIhXHPNNbq+bXYIPzOWKbVaDel0GpIk\nddwmZmnBYuZYoigik8mgXC5jenp6y1Ysy5ao0feBvK+ZTEbXv3AQbVoWOHWeRoynSbqFnvG0Gyox\nWpwQJ4D9VU36vRoZGYEgCLjmmms6LpHoRZv1A7muV0JMnBXK5TIXfi7j0KFDHf/eqvA7d+4c7rrr\nLvj9fsiyjC984Qt44IEH1H8vSZLp3yUu/Axi5EFopOJHWpKZTAYejwfz8/NtRp9WjmkWsonb7Vtr\no9FAJpNBrVbDzMxM101d1vm6vY6lTQPpFFE3yBQQ4LKdTSqVgsfj6eqxyGJJ5GrCjPF0IBDYUm3S\nfjYGff3csNwxqNezukRiZfvbCSsX8rpu+IJRqVQwOTnp9GlwKAqFgqm/N8LPf/5zrK6u4o477sB/\n//d/o1wuI5lMQhRF3Hnnnbjtttu6agg9uPBjCBFUnaCrZzMzM2pLstcxWfnaEbqld9DLJZOTk4Y2\ndQclsDrNGFo5FsvzIiK5Xq/3tNxhcU7bpWpoJ52Mp2kxuLGxoWs87VQFbpAM+mfsJoaMLJHQ299G\nc26dsHIBnBOcWqrVKnbt2uX0aXAo4vE48vm87t9b5Q/+4A/wxBNP4E//9E8xOjqKT3ziEygWi/jY\nxz6GN77xjfizP/sz08fkwo8hnapzgiAgm82iVquZ9pKzIwpO75iyLGNjY0Pd1DWTETuIih+ZNqu9\n8AAAIABJREFUMfT5fIYTS4hAYpWcoBVbkiRhfX0dhUIBExMThkSyGx4YRtiO4rKTIS6djpDP59U5\ny0uXLm1JIbHj/bmaKn5G6bZEQiqDeksk5L0KBoOOVd6cEpxaeKvXfVx//fVtM37031vlueeew+tf\n/3rcfvvt+NGPfoRvfOMbePHFF/H+978f73nPeywdkws/gxht9TabTfX/J8kMpVLJcPVM75h2tHqJ\nuDJbRet1vH7RLncIgoB0Oo1ms9m2uGH0WOR9Yyn86Bzi0dFRQ1m/esfh2I+eGKzVashms4hGo1uM\np/VSSPr97Djxfrtd+HVCL+eWXiIh75coivD7/ZAkaeB50m5q9XLh5y7IHB/Lrd5rr70Wf/mXf4nH\nHnsMsizjbW97G/71X/8VTz31FJ566ikAwAMPPICFhQXDx+TCjyFEALVaLWxsbKhvfKcZNDPHZH2e\nkiSpmbpmqmh6sNzqJcsdtGjWW9wwc24sM3ZJ5dFs1i/r8+H0h8/nw+joqCnj6W65qb240it+drY/\nOy38lEolFAoFNJvNjnnSLJZItHDhx+nG7t27mdq37NixA9/97nfb/u4DH/hAX8fkws8gRmPb6vU6\nTp06hWg0aqoS1Ak7hJ8sy+pyiZXcWi0st3qJ1czp06f7Fs0AO6EliiLq9TpSqZTpyqMd58NhixHj\n6Uqlgo2NjTbjaSIwOs2hAVdPq3eQYsjr9cLv9yMQCKgG7Xpt/UajwTxC0E3Cj8xMcjhm4MKPAaRd\nSuLLlpaWmEVxsWz10pu60WgU8/PzTB4OLMQpbYMCgFmcWb/nRpZdNjc34fP5sHv37r5u+iySSWRZ\nVmcXCawfRFygXqaX8bTeHJqdxtNGcCJFww05vZ1mPLWpMWaXSLS4QfiRxRgezcaxAhd+faAoitou\nDQQCSCaTWF9fZ5q/akcMnN/vN3yTG8Q5ksQNr9eLHTt24Pz588zaM1YFDDHWXl9fRywWw8LCArLZ\nLLMbvtkHJS326Aooue70zCbB6YeTW+lXpNDG0wR6Dk1rPE1+P+r1+kC8Bq+GCiNgrL1MV3L1lkg6\niXd6iYR+v8ya39tFpVIBAN7q5ViCCz+DaG8wxItPURTV2LjVaiGdTjN93X5EFb2pG4vF1E3dTCbD\ntH3cy8amE/TixszMDKLRaNtCBgvMHoue4wsGg1hcXMTQ0BDq9TqTa2Z24YQWfHpmteQBRD+IuBgc\nPN2Mp8nySDabHYjxtFtFGGv6aS+bWSKh3y+y+Ob0dj4Xfpx+4MLPJPV6HZlMBo1GY4tnm53WK2Zu\n5nTbdHh4eEvb1KpQ63aOZrwG6cWNqakpjI+Pt93AB20ITSDRb61WC8lksu2mynKOEei96UkqC+T/\nNvOg6SQG6fYw/WenGUre6u0PYmZMfjeSyWRH42m/379FDFqdbXVD23UQsK68dRLv2vcLuJymoG3t\ns14i6Ua5XAbAhR/HGlz4GUQURVy8eBHVahVTU1PYsWPHlpuOFZHWC+KGbyQfkqSC9PK7Y20KbXSr\nV+sV6JbEDSJEy+WyKkS17x/rKmQ36Dk+VpFUeg/IbmLQ6YqGnThpddKP8bRRcXG1tHoH8Zra96vZ\nbOLVV1/F7OxszyWSUChkaQPcCJVKBV6v13RiA4cDcOFnGFmWEQwGMTs721GAeTwedRmD5bc/IxFr\ndLWqVyqIHRW/bkJNW4F0S+IGLUTj8Tj27NnT9b21+5x6tXVZ00kMiqKI9fV1NeGFXhbgrWLz9Prc\ndFpKEEVRFYNEXJCYM60YpD8rV6oI02LkyzBrSIXcyBJJo9EwvQFulEqlgkgkckV/QePYBxd+Bhka\nGlJtA7phR7u3W8Ras9lEJpNBtVo1nArS7XhW6NYGJRVIj6d7fq32eHa2ehVFQbFYRCaTQTgcNrRB\nbKfws6PCZwWynU5mQpPJZJv40/5DfhYuBntjxfePJFsQ6JgzMoPWaDQAoE1YOPH5kWV5oK1OJ19T\n7/PezxIJ+cfM7xH38OP0Axd+BjF6M7U7aYPQarWwvr6Ozc1NTExMYG5uzvCNg7U41TueIAjIZDIQ\nBAGJREJd3DCCnSKrVqshlUpBURTMz88bbpXYcU79zPGxhiwrBQIB7Ny5c8tMqBatGCR/B7hfDG7X\nVAu9mDM942lBECBJEi5evNi38bRRnJjx2w5zhUaWSIrForr0o63mdqpo8rg2Tj9w4ccY1m1U7TFl\nWUYul8PGxkbbpq7Z49kl/GjrmKmpKSwsLJi+Odsx40dXRmdmZjA2NmY6W5Sl8JNl2RVVPnJdyLKS\nUTPvK00Mblf0jKfJtnw8Hlczb60YT5vBqVav24WfHt2WSIgY1CaRaM2nK5UK9/DjWIYLP4OYqfjZ\n0eolmZSdNnXNYIfwkyQJ2WxWXdywIkgJrEXW5uYmUqkUxsfHu85oGjmnfh9wpD11/vx5dWh8aGgI\n4XB4oG0rMt+4ubmJ8fFxUxXjTnAxqI9TKRp6XoNkBq1arTI1nr6a5grt+MzSSySxWAzA1iSSzc1N\n/MM//AOeeeYZzM7OQhAE/Mu//AsOHDiAhYUFPu/HMQwXfiYwIkhYt3oVRYEkSaqvXD+ZugSWwo/4\n3pGtRBaJGyyTQIrFIkKhUM+Fkl70e1Olxc/CwoI6CC4IAgqFAtbW1tpu/uFwWP12zxLyfpEvEIuL\ni33HCnbDiBgURRGSJKlV0CvN4Ngtr2fWeForBru9L074+G3Xip9R9JZ+br/9dtx00014/PHHcf78\nefzwhz/E5z//eVQqFdx88824++67B3JunO0NF36MYSmqyKZuvV5HNBrF3NycayLWgNcWN8gxd+zY\n0fcxybH6Ob9qtYpUKgWPx4PR0VEMDw/3JfoIZoyXCdqFCFLlIrNaJGuT3uIUBAG5XA6CIKhikAjB\nfsQgmbuUJAlzc3N9f4GwCnlwKoqCXC6HfD6PeDyuPuCu1sogK8x8RrsZT+vNoGkzb+n30okZv6tB\nbNKQ+2yz2cQNN9yAT33qUwCAfD6PWq3m2Hlxthdc+DGGRcVPu6kbDofh9XpdE7HWaDSQTqfVxY1I\nJIKXX36ZybkB1lu9JIu4Xq+r5trZbJb5hrDRG78ZexZ6cF9PDNbr9TYxSAvBXmJQkiSsr6+rhtlm\n5xvtgCyTBINBXHPNNbrC/EppE7ul4mcU8vkKh8Pq32mNjOkZtKGhIbUlOTQ0NDCLFacqfoO2kNFD\nu9U7Pj6O8fFxB8+Is53gws8ERlu9Vs2RtZu6ZB5tfX2dafvY6rxap8UNrR1Jv5gVpkTYFAoFTExM\nYH5+Xn0gOBH/Rkem9bO40U0M1uv1tsqgz+drE4LkAby5uYn19XVEo1EsLS05/tASRVHd9iZ+k53o\n1CYmf24XMbjdhJ8evYyna7UaSqUScrlc20KCnakWTlX8Bm0howe3c+H0g/Of4CsMK9U07abu7t27\n2+aufD4fms0ms3M0kwaiPT+9xQ2z+bNGzs/INVQUBfl8Huvr6xgdHd1y3cwcy+h5dRN+WosWOx5K\ntBjUDoHTbeJ6va6azUajUccfErIsI5/Pq23d2dlZSyKtVzYxnT5Ct9ZpnBAM21346UHPoBUKBSQS\nCYRCoa7G01ox2O+i1JU849eNSqWifhnkcMzChZ8JjNykzLR6yQJCNpvtaCQsFQrAsWOQozFgbs7S\neethJA3EjNGx2TaokXPrRrlcRjqdht/vx86dO9vaUtpjsYqn6yT86MqTU6KCPFSHh4eRzWbh9Xox\nMTEBn8+HRqOB9fV1NBoNtTJIt4rtrgKSWdBQKNSxrdsPZsUgqwqwUa6Eip+R1yTjKN2Mp8l2qp7x\nNBlZMHruTogwJ2YZ9eB2Lpx+4MKPMUZ9/Mhmpcfj0TUSVkQR9b/9f9A6egxKQ4C/1UL1+tch/Kcf\ngLeDyDF7nt0qYdVqVV3cMGJ0zLqy1ulYxKOs2WwikUh0jaYjx7Kz1TvomLVO0BW1sbEx7N69W7fS\nRSqD9XpdndOySwzSHoGJRGKgD6pOYrBSqajXiK7Qer1eVzzQWeA2axWjxtPZbBaKomwRg3rG0yys\nlazghoqfoii84sfpCy78GNPLx49s6oqiiJmZmY6JFvXvfg/ikaOXW1V+P9BqofXyy6j/zf9B5KP/\nt23nSS9ukAUJo4a+LJcotAJLO184Pj5u6AZsl/BjNcfXL+QhkMlkelbU6MqgXpuYiEFBEOD3+7cs\nkBgVg2Q0oFAoMPMI7BdRFNUvDMlkUhWhZNxBWxlkKQavloqfWUN0rfE0gDYxSIynJUnask1MKoNX\no/BrNBpotVqOj29wti9c+Jmgn1YvvalLhEun4ymNBqQjR6h//9r8XOvFFyHl8/D1ucGlFWq0sJqc\nnDSduNEtr7efcyOVrPX1dUtJJaxTQIjXnJ1zfEYhW8yiKFquqHUTg2SBhIhBYufRTQySSvbQ0JDt\nHoFGoC1j9ERop8ogSzF4pbeWAXY+ft0izsgSST6fR6vVgqIo6meNpJDYLcrcIPwqlQoA8FYvxzJc\n+DFGKzTojVOjyRFKtQqlWgUClys3Hg/18GhJUDIZgJHwYxEBRx+PBURglUol1bh6cXGxbaPQzLFY\nVvw2NjYQiUQQDof7Nqq2iiRJ2NjYQLFYxMTERNcvEVbQM45VFEV9+OqJwUAggFqthlarNfC2bifI\nuEI3yxg9zIjBTgskWq6Gip9dgkjPa7DRaODixYsIBoOo1+uWjafN4ibhxyt+HKtw4WcCMxU/ulIV\njUZ1N047vk40Cs/YGJRqTX1dol08QyF4FxYs/wzqa3g8qFQqSKVSGBoa6jtxg6XwE0URtVoNoigi\nmUz2dYNjMXtIHvYzMzOo1Wpq1UEUxS2xa6yyT/Ugyzbr6+uIRCLYtWvXwKwlPB6Prp0H8RfM5/Pq\nZz+TyaBYLLa1igf5sBRFEdlsVvVzNJo/3I1+tomv9FbvoCuawGvOBPF4XP07K8bTZnGD8CuXywDA\nZ/w4luHCzwYURcGpU6fUdpfZSpXH70fgzW9C89n/F/D5/v+buAJFlhF4w2/B22c1pVqtolqtwuv1\nYm5ujkl1hoXwIw/sUqkEn8+H3bt3M3lgW30waf0JtcKHZJ8KgoBqtdo2j0SLQb3hdLOQ2VDg8rJN\npy3mQUHPFg4NDWFpaQmBQKCtMliv11EsFtFoNBAIBLbMDLJ+gCqKgkKhoNoOJZNJWx/SRsQgMT4e\nHh4emGgY9OapE4tNeteym/E0+Uxqjafp6mDPTgzV7neSSqWieiVyOFbgwo8hdIRZMpns6xtZ6D3v\nATwetF74JeTiJuRgEIG3/F8I33qL5WPSyRbhcBiRSIRZS64f4SfLMjY2NpDL5RCPx7GwsIB0Os3M\nE9Cs8KO9+LpVTzpln9KLEsR8W7s1a1QMktlLMhtqdNnGTujZwmQy2fbz0wJ5bGwMwGttYjIzSMRg\nMBjcMjNo9aFar9eRSqXg8/mwc+dOxx6KtHE4nYlMG3CTP422ic1ytcwUGrlutPG03kJTo9HYYoLe\nyXja6c19AjFvdvo8ONsXLvxM0OkXrV6vI5PJoNlsYmZmRvUs6/e1ht7zHii/93tQqjVcuvAKZpeX\n4bFgs0EngkxOTmJ+fh7r6+tMHxBWWqqdfAIbjcbATJf1zomu8pm9ueqJwVarpVYGyc+rKMqWyiDt\nYUZXr2KxGHbt2uV46gYR6CRZxuhsYac2Mbkm/YhB8tmuVCqYnp7uuCU/SOgN4tnZWV0rJPqLBWsx\nOGgh5pSfXj+JOHozrHrG0+SzS5ZH+n1tFpTLZT7fx+kLLvz6oNlsIpvNolKpYGpqCvF4HF6vl2nE\nmsfngyc6Cm8gYCkRpNNGrFG/QaOYbanWajWkUikoirLFJ5DlQobRSqSdfnx+vx8jIyNt1VXykCGi\nh1SKSS5zrVZDIBBwtHpFUBSlrXrFYlvX4/HotuXoBRI9MUiWajweD4rFIrLZLKLRqCuEMUmSyeVy\nPW1sOv09/Tkkx7QiBq/kmUKAvdjsZDxNvrQ1Gg0Ui0UoioKzZ89uWSBhMc5hFG7ezOkXLvxMQH6x\ntZu6e/bsaXvo9PLys4LZRBCyEdtpzpBlogU5npGfmba1mZmZwdjY2JYbJusNYSM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ERvOCeTSdcYkNMVbquLXnblEutBR67de++9PHKN43q48LMIsatYX19HLBbT3cZrNps4e/YslpeX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\nrZu3oJ3Ra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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "cell_type": "raw", + "metadata": {}, "source": [ "sns.set_style('white')\n", "fig = wu_pc.plot(sample_md, 'subject',\n", @@ -4542,23 +4621,8 @@ ] }, { - "cell_type": "code", - "execution_count": 104, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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i8bghILds2bIm/eTW2prZliggp6am0N/fb5wfs8kyL/Q3iw0np3isJzpRXNWr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\nX0er1cLKykqHQnznz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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "cell_type": "raw", + "metadata": {}, "source": [ "fig = wu_pc.plot(sample_md, 'body_site',\n", " axis_labels=('PC 1', 'PC 2', 'PC 3'),\n", @@ -4575,85 +4639,31 @@ ] }, { - "cell_type": "code", - "execution_count": 105, + "cell_type": "raw", "metadata": { "collapsed": true }, - "outputs": [], "source": [ "results = anosim(wu_dm, sample_md, column='subject', permutations=999)" ] }, { - "cell_type": "code", - "execution_count": 106, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "method name ANOSIM\n", - "test statistic name R\n", - "sample size 6\n", - "number of groups 2\n", - "test statistic -0.333333\n", - "p-value 1\n", - "number of permutations 999\n", - "Name: ANOSIM results, dtype: object" - ] - }, - "execution_count": 106, - "metadata": {}, - "output_type": "execute_result" - } - ], + "cell_type": "raw", + "metadata": {}, "source": [ "results" ] }, { - "cell_type": "code", - "execution_count": 107, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "-0.3333333333333333" - ] - }, - "execution_count": 107, - "metadata": {}, - "output_type": "execute_result" - } - ], + "cell_type": "raw", + "metadata": {}, "source": [ "results['test statistic']" ] }, { - "cell_type": "code", - "execution_count": 108, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "False" - ] - }, - "execution_count": 108, - "metadata": {}, - "output_type": "execute_result" - } - ], + "cell_type": "raw", + "metadata": {}, "source": [ "results['p-value'] < 0.1" ] @@ -4668,86 +4678,33 @@ ] }, { - "cell_type": "code", - "execution_count": 109, + "cell_type": "raw", "metadata": { "collapsed": true }, - "outputs": [], "source": [ "results = anosim(wu_dm, sample_md, column='body_site', permutations=999)" ] }, { - "cell_type": "code", - "execution_count": 110, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "method name ANOSIM\n", - "test statistic name R\n", - "sample size 6\n", - "number of groups 3\n", - "test statistic 1\n", - "p-value 0.062\n", - "number of permutations 999\n", - "Name: ANOSIM results, dtype: object" - ] - }, - "execution_count": 110, - "metadata": {}, - "output_type": "execute_result" - } - ], + "cell_type": "raw", + "metadata": {}, "source": [ "results" ] }, { - "cell_type": "code", - "execution_count": 111, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "1.0" - ] - }, - "execution_count": 111, - "metadata": {}, - "output_type": "execute_result" - } - ], + "cell_type": "raw", + "metadata": {}, "source": [ "results['test statistic']" ] }, { - "cell_type": "code", - "execution_count": 112, + "cell_type": "raw", "metadata": { - "collapsed": false, "scrolled": true }, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 112, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ "results['p-value'] < 0.1" ] @@ -4774,101 +4731,8 @@ ] }, { - "cell_type": "code", - "execution_count": 113, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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body_sitesubjectObserved OTUsFaith PD
Aguts156.75
Bskins157.00
Ctongues146.25
Dguts245.75
Etongues256.75
Fskins235.50
\n", - "
" - ], - "text/plain": [ - " body_site subject Observed OTUs Faith PD\n", - "A gut s1 5 6.75\n", - "B skin s1 5 7.00\n", - "C tongue s1 4 6.25\n", - "D gut s2 4 5.75\n", - "E tongue s2 5 6.75\n", - "F skin s2 3 5.50" - ] - }, - "execution_count": 113, - "metadata": {}, - "output_type": "execute_result" - } - ], + "cell_type": "raw", + "metadata": {}, "source": [ "sample_md['Observed OTUs'] = adiv_obs_otus\n", "sample_md['Faith PD'] = adiv_faith_pd\n", @@ -4883,23 +4747,8 @@ ] }, { - "cell_type": "code", - "execution_count": 114, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "cell_type": "raw", + "metadata": {}, "source": [ "fig = sample_md.boxplot(column='Faith PD', by='body_site')" ] @@ -4912,63 +4761,8 @@ ] }, { - "cell_type": "code", - "execution_count": 115, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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Observed OTUsFaith PD
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" - ], - "text/plain": [ - " Observed OTUs Faith PD\n", - "Observed OTUs 1.000000 0.939336\n", - "Faith PD 0.939336 1.000000" - ] - }, - "execution_count": 115, - "metadata": {}, - "output_type": "execute_result" - } - ], + "cell_type": "raw", + "metadata": {}, "source": [ "sample_md.corr(method=\"spearman\")" ] @@ -4995,7 +4789,7 @@ "metadata": { "anaconda-cloud": {}, "kernelspec": { - "display_name": "Python [default]", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -5009,7 +4803,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.2" + "version": "3.7.1" } }, "nbformat": 4, From 8995ccba4ce738bcc7ffd798a24f88cd8d6bdac1 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Mon, 26 Nov 2018 21:36:22 -0800 Subject: [PATCH 62/78] updates after class --- lessons/lesson17.ipynb | 617 ++++++++++++++++++++++++++++++----------- 1 file changed, 462 insertions(+), 155 deletions(-) diff --git a/lessons/lesson17.ipynb b/lessons/lesson17.ipynb index ab7f19f..372934b 100644 --- a/lessons/lesson17.ipynb +++ b/lessons/lesson17.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Lesson 17 - Statistics\n", + "## Lesson 17 - Statistics Packages\n", "\n", "### Readings\n", "\n", @@ -115,10 +115,315 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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STATIONNAMELATITUDELONGITUDEELEVATIONDATEPRCPPRCP_ATTRIBUTES
0US1CASD0015LA JOLLA 2.5SE, CA US32.8254-117.2397154.82008-12-01112.4,,,N
1US1CASD0015LA JOLLA 2.5SE, CA US32.8254-117.2397154.82009-01-016.9,,,N
2US1CASD0015LA JOLLA 2.5SE, CA US32.8254-117.2397154.82009-02-0172.6,,,N
3US1CASD0015LA JOLLA 2.5SE, CA US32.8254-117.2397154.82009-03-016.1,,,N
4US1CASD0015LA JOLLA 2.5SE, CA US32.8254-117.2397154.82009-04-011.8,,,N
\n", + "
" + ], + "text/plain": [ + " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", + "0 US1CASD0015 LA JOLLA 2.5SE, CA US 32.8254 -117.2397 154.8 \n", + "1 US1CASD0015 LA JOLLA 2.5SE, CA US 32.8254 -117.2397 154.8 \n", + "2 US1CASD0015 LA JOLLA 2.5SE, CA US 32.8254 -117.2397 154.8 \n", + "3 US1CASD0015 LA JOLLA 2.5SE, CA US 32.8254 -117.2397 154.8 \n", + "4 US1CASD0015 LA JOLLA 2.5SE, CA US 32.8254 -117.2397 154.8 \n", + "\n", + " DATE PRCP PRCP_ATTRIBUTES \n", + "0 2008-12-01 112.4 ,,,N \n", + "1 2009-01-01 6.9 ,,,N \n", + "2 2009-02-01 72.6 ,,,N \n", + "3 2009-03-01 6.1 ,,,N \n", + "4 2009-04-01 1.8 ,,,N " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# import data with dates parsed, calculate average precipitation per month, get month and year, reset index\n", + "# import data with dates parsed\n", "df = pd.read_csv('../data/la_jolla_precip_monthly.csv', parse_dates=['DATE'])\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(211, 8)" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# we can see that the dataframe has 211 rows...\n", + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "2013-10-01 3\n", + "2012-11-01 3\n", + "2012-01-01 3\n", + "2009-11-01 3\n", + "2013-02-01 3\n", + "2013-11-01 3\n", + "2013-06-01 3\n", + "2013-05-01 3\n", + "2010-11-01 3\n", + "2011-02-01 3\n", + "2011-01-01 3\n", + "2013-03-01 3\n", + "2013-04-01 3\n", + "2011-11-01 3\n", + "2010-03-01 3\n", + "2010-04-01 3\n", + "2014-01-01 3\n", + "2014-03-01 3\n", + "2014-04-01 3\n", + "2010-02-01 3\n", + " ..\n", + "2014-10-01 2\n", + "2014-11-01 2\n", + "2011-10-01 2\n", + "2016-02-01 2\n", + "2015-10-01 2\n", + "2015-11-01 2\n", + "2013-01-01 2\n", + "2014-08-01 2\n", + "2016-09-01 1\n", + "2016-08-01 1\n", + "2009-12-01 1\n", + "2016-10-01 1\n", + "2010-10-01 1\n", + "2016-06-01 1\n", + "2016-05-01 1\n", + "2016-04-01 1\n", + "2008-12-01 1\n", + "2009-01-01 1\n", + "2016-07-01 1\n", + "2009-02-01 1\n", + "Name: DATE, Length: 95, dtype: int64" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# ...but 95 unique months, and many months have multiple values\n", + "df.DATE.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
STATIONNAMELATITUDELONGITUDEELEVATIONDATEPRCPPRCP_ATTRIBUTES
56US1CASD0015LA JOLLA 2.5SE, CA US32.8254-117.2397154.82013-10-011.84,,,N
112US1CASD0037LA JOLLA 2.2 NE, CA US32.8705-117.2477113.12013-10-0112.5,,,N
174US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72013-10-019.2,,,N
\n", + "
" + ], + "text/plain": [ + " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", + "56 US1CASD0015 LA JOLLA 2.5SE, CA US 32.8254 -117.2397 154.8 \n", + "112 US1CASD0037 LA JOLLA 2.2 NE, CA US 32.8705 -117.2477 113.1 \n", + "174 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "\n", + " DATE PRCP PRCP_ATTRIBUTES \n", + "56 2013-10-01 1.8 4,,,N \n", + "112 2013-10-01 12.5 ,,,N \n", + "174 2013-10-01 9.2 ,,,N " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# for example, 10/1/13 has three different PRCP values\n", + "df[df.DATE == '10/1/13']" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# so let's calculate average precipitation per month, then create columns for month and year, and reset the index\n", "df = df.groupby('DATE').mean()\n", "df['MONTH'] = [x.month for x in df.index]\n", "df['YEAR'] = [x.year for x in df.index]\n", @@ -127,7 +432,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -279,7 +584,7 @@ "9 2009-09-01 32.82555 -117.2449 152.25 0.55 9 2009" ] }, - "execution_count": 4, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -291,7 +596,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 9, "metadata": { "scrolled": false }, @@ -314,7 +619,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -335,7 +640,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 11, "metadata": { "scrolled": true }, @@ -458,7 +763,7 @@ "max 32.840533 -117.239700 154.800000 166.200000 12.000000 2016.000000" ] }, - "execution_count": 7, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -470,7 +775,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -479,7 +784,7 @@ "20.878070175438598" ] }, - "execution_count": 8, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -491,7 +796,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -500,7 +805,7 @@ "30.779846675482016" ] }, - "execution_count": 9, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -512,7 +817,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -521,7 +826,7 @@ "(0.8500000000000001, 8.75, 27.116666666666667)" ] }, - "execution_count": 10, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -533,7 +838,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -542,7 +847,7 @@ "(0.0, 7)" ] }, - "execution_count": 11, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -554,7 +859,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -563,7 +868,7 @@ "(166.2, 166.0, 24)" ] }, - "execution_count": 12, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -575,7 +880,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -625,7 +930,7 @@ "Name: PRCP, Length: 95, dtype: float64" ] }, - "execution_count": 13, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -637,7 +942,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -687,7 +992,7 @@ "Name: PRCP, Length: 42, dtype: int64" ] }, - "execution_count": 14, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -699,7 +1004,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -712,7 +1017,7 @@ "Name: ELEVATION, dtype: int64" ] }, - "execution_count": 15, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -734,7 +1039,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 20, "metadata": { "scrolled": false }, @@ -750,16 +1055,16 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 16, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -775,7 +1080,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 21, "metadata": { "scrolled": false }, @@ -783,16 +1088,16 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 17, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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Qv2WV5TgdEmMDLmaWBhgbcOF0SCyrLO/+CovmcIyQOviVUsfTb9AwTfOE/zZKMqoLgiCMKPMqCli5YCrFfjetEY1iv5uVC6bGV061RXW6UrC09kT6DRozZszghRdeOOb6iy++yMSJE9NVpwERMUwQhFPOUfe9zphOW0Q7+nJK9bvk9pvf/CbXX389f/3rX5k9ezamabJ161beeecdnnzyyTRWK3mtUY1ct8LAsqkIgiCMDMfb3Pe9V/biWCAxMceT9gfofnsaJSUlrF27lgkTJvD666/z5ptvMnXqVP74xz9SXl7e37dmXEjVaQ7HOCb0CoIgjCKrt9TiUiR8ThlJkgi4FMryPKx+q4ZMHF560txT+fn5x+wKB9i7dy9TpkxJS6UGqjOqI0kShV4FRJ9DEIRRqKYjSp7HzgPokCA/y0VrOMbBDjUj5ffb0zh48CB33XUXP/jBD4hEIgCEQiFWrlzJ5z73uYxUMFmdEY3WqI4kYoYgCKPQ+BwPEd1epFTgc9EZ1WkMxRgTcGek/H57GitWrGDatGk0Njby6KOPcskll/D1r3+drKwsfvnLXw6owN///vc89dRT8c8PHjzIlVdeSSQS4b333sPr9QJ2jquBnBRoAe1hDUmSyHMnlcRXEARh2FtWWc7y9Xso9suENYO6riiabrF01piMlC9Z/aydXbBgAevXrycajXL11VfT3t7OTTfdxC233BI/Z2Mw9uzZw7Jly/jd737Hl770JR5//HGKi4sH9Fof7GtC1Y8sEZYkKPC7yHENr8BRVBSgqalrqKuRFqO5bTC62yfaNrL89UArv3q/ju0NXZT4XCydNYbzy3OTeg234uCsyUVJl93vHdXn8wF26pCOjg4eeOABLrzwwqQLOZHvf//73HnnnXi9Xurq6lixYgUNDQ3Mnz+f22+/HYfjpKmxTsiyoCUUwyFJBJziHBBBEEYLi+lFWXx3bgX5+X5aW4+fqDBdEn4Mz8/PT2nA2LRpE9FolMsvv5za2lrmzJnDPffcQyAQ4LbbbmPt2rVcd911Cb9eTq7vuKdRGYAn4Cbgcaas7gPx0q4GfvTaPva3hpmU7+NfLp7M5aeXDGmd0qGoKDDUVUir0dw+0baRoalLxYmDfJ89h5Gf7z/JdxyfMsDjXvsNGlKv2eRUDEf19rvf/Y6bb74ZgPLyclavXh3/txtuuIHnn38+qaDR0R7uMzzVW3t7mDEBN2554D2XwdhY1cI3/u8jgjEDw7Jo6FK56bcf8JPPTk/gtK2RYzQOA/Q2mtsn2jYydGkGTUE1vhdjMD0Nt+KAguQDTr+R4KOPPmL27NmAfWpfz/9bloUkSbz//vsDqCrEYjHeeecd7r//fgB2795NdXU1CxcujL9+KoOUYVoc7lIZk+3BNcDoOhj/8eo+2qIasiQhSxKmZdEW1fiPV/eNqqAhCEL6hHWT5l4BY6j0e2d+5ZVXCAaDvPnmm8yaNYvS0tKUFLp7924mTpwYnzOxLIv77ruPOXPm4PP5ePrpp7nqqqtSUlYP3bRoCEYZk+UZcLdsoKraosjdee8lSYqvc65qi2a0HoIgjEyqYdIYVDOyee9k+h2veeutt7jxxht56aWX+NrXvsb+/fsZN25c/L+Bqq2t7ROApk+fzq233sr111/PZz/7WU4//XQWLVo04Nc/kZhu55c3Mh6qrWMSPFrdufAFQRD6EzNNDnepKT1IaTD67Wk8+eST/OlPf6KkpIQPPviAVatWpWQy/IorruCKK67oc23p0qUsXbp00K99MlHNoDEUozTLnbE945PzfXzcEkKyLGTJPjzFBKbl+zJUA0EQRiJ7hEQ97iKfoXLSmeGSEnuFz1lnnUVbW1vaK5QJ4ZjBS3ua+NKzH3LOI29x9W+3srGqJW3l3X1xBfleJ1L3eb6SJJHvdXL3xRVpK1MQhJHNsCwOh2LE9OETMOAkQUM6KheHLI+O/Q6ba9v57oY9BGMG5dkuGkMqy9fvSVvgmFdRwH9dMZ2zx2YzLtfL2WOz+a8rRtfKKUE41W2sauHq325NyYOoiUVDMIaahpP3BiupJUpHB5GRas22emRZoj2iMTbbDZJEUyjG6i21abuRz6soYF5Fwaha/icIgq13uvI8jxx/EF25gKTvKZYFjWGNSBoDhmaYbKxqSf2O8N27d8eX2cKRZbeDXXI71Oq6VHLcMrppUd+pMibbjWE6qe0Qq5kEQUhe73TlQPdHI+kHUQtojKTvqFaAYExnxYa9NEU0vnP5GUl/f79BY8OGDQOu2HA2NuCmJRLDq8hopkV9l0q+z8WUAjExLQijxcaqFlZvqeVQl8q4gJtlleVpG0nona68h1dxJPkgatES0Qmm8ajWhqDKXes+pqotwoQ874Beo9+gMZhltcPZ0lljeOiNasDAIzvoVA1CqsEPFkwd6qoJgpACxzvdbqDDRYkYn+OhMaTGexoAEd2kPMeT0PdLErREdDojWsrr1mNPS5h/eXk3TSF7o/EdlQM7SG9o8moMsfPLc7nrwokUeF10qgYFXhfL5oynItdLaBhOPAmCkJyjT7fzOWVcisTqLbVpKW9ZZTkx3SKsGViW/TGmWyxL8MbcFtVpT+PZ3ptq2vnqCztpCmn4nTKrLp/GZyblD+i1hlfe8Aw6vzz3mFTCpgWNwRglATc+5ZSMp4IwKqRmuChx8yoKWLnADla1HVHKczwJD4d1xnRaw7G0pQf5w84GVm06gGlBid/Fjy6bxuRB7BE7ZYPGiZiWRWNQpTTLjUcEDkEYkQY7XDQQPSskk9GlGTSH0hMwDNPi4S01PL2jAYDphT4eWDiNQp9rUK8r7orHYXTvwlSN4bWpRhCExAx2uCgTQpqRtgSEoZjBv63/OB4wPj0hl9WLTh90wAARNE5INy0Od0VRh9H2fUEQEmMPF02l2O+mNaJR7HezcsHUYbOhNqQZaUtAWN+lctufdrKptgOA6z9Ryn2XTsWbosPoxPBUP3TTorErSmm2G6ck4qsgjCTDdUNtRDdpDMbSEjA+bOji2xv20BbRkSWJf71wIounJ7+Brz+jJmikqz8QM7rP4hiClOqCIIwuUd2kIahipmFM6sXdTTz4RjWaaZHtlrnv0qnMHpud8nJGzePzw2/VnvDkvsGK6RaHg+oQpFQXBGG0UA17rjTVKc510+Inmw9w31/3o5kWE3I9PHbljLQEDBhFQePV6laWvbiLplAsLa+v6ib1wRi6CByCICRJNew50lSnOG+PaPzLut3xCe/zy3N47Moz0rpKbNQEDQnY2RTiy8//nR0NwbSUoWoGDcGhOMRJEISRKqqbaQkY+1rDXPfEe7x9qBOAL3yylAcWTCPLld5Zh1ETNFZcNAm/U6Y5rLHsxV386aPGtJQT1QwOix6HIAgJCGkG9V2pP0Tptf2t3PrHndS0R3DJEt+7uILbK8cjZ2DeddQEjbPHZvPLz53BhFwPmmlx/9+qeeBv+9GM1M9zRDWDw10icAiCcGJd8WW1qbtPGKbFI+/UsuKVvUR0kzEBN48sPoPLphamrIyTGTVBA2BCrpdfXjmDT0+w04M8/1ETy178KC3zHKpucDgNTxCCIIx0Fm2qTlOK92F0RDX+ed1unthaD8CZpQHWfukcphf5U1dIAkZV0ADwu2RWzp/KP549DgnY0Rjkpud28H5dZ8rLsifHxQZAQRBsFtAc0WlLcWqQ3c0hbnnu77zTPX/x+Zkl/PSzp1HgH/wO72QNyT6NG264gdbWVhTFLv7ee++lpqaGn//85+i6zpe+9CWWLl064Nd3SBI3zx7HaYV+/v3VfbRFdL7x54/4p3PL+cInS1N6AmFMtzjcGaU04MYtj7oYLAhCgiygMRxL6XkYlmXxwu4mfrzpADHDwi07WH7RJBZMGbqd7RkPGpZlUV1dzauvvhoPGg0NDdx55508++yzuFwulixZQmVlJVOmTBlUWReMz+VXV81gxSt72dMSZvXbtexoDLLiokkE3Klrut59kFNxlsiOKwinop4zvcOx1B2tENUNfvTmAf78cTMAZdlu7rt06pAfFpfxoFFVVQXALbfcQnt7O9dddx1+v585c+aQm2vPRSxcuJB169Zx++23D7q8cdkefvEPZ/CjN6v5v4+beb26jT0tYX546RROK0zdWKBhWjR0RSnwu8hO85I3QRCGD92yaAzG+EtVC2u21VPXpTI24GbprDHHHL+QqJr2CHdv3Mve1ggAcyfm8Z25k9K+nDYRGa9BZ2cn559/Pt/97nfRNI0bb7yRyy+/nKKiI/lRiouL2b59e1Kvm5Pr63dS+qGrPsEF2+u5d8PH1HWp3PanXay4dAqfnzU2pcNVJmB5nBRluU74ukVFgZSVN9yM5rbB6G6faFvyVN2gvkPlncZWVm2uwSXbJwW2qzqrNtcQyHJz0eTkVjb9eVcDd6/bTThmIEsS/zy3glvOKz/h/SQ/f2APvwNNi5TxoHHWWWdx1llnxT+/9tprWblyJV/96lfj1yzLSvpG3tEePmkakc+UZVP2D2fwnVf2cLBT5fsvf8zf9jTz7U9Pwu9KTQZIgFag2aNQ6HNxdCuGW/K0VMjkWcxDaTT+7nqItiVPNSwag1FihsUjb1YjSxYuhwPTtHA5JAzT5JE3q5mZ4Fncqm7y31tqeHanvcesyO/k3kumMKs0QFtb+Ljfk5/vp7U1NKD6uxUHFCQfcDI+AP/uu++yefPm+OeWZTFu3Diampri15qamiguLk5L+VMLfPzqqhlc0n3U4caqVm56bge7mwf2gz8eC+iM6n3yVW2sauHq326l4oevcPVvt7KxqiVl5Q2lnrOYG0Nqn7OYR0v7BOF4It27vGPdZ+7Udal4jloI45Ed1HepCb1eTXuEW/+0Mx4wKsty+M1VM5lVOvx6fxkPGl1dXTzwwAOoqkowGOS5557jwQcfZPPmzbS2thKJRFi/fj0XXXRR2uqQ5VL4j3mT+ZdPTcAlSxzqVLn1jzt5esdhrBSukwvH7N2gf61p4+4Ne0fljTXTZzELwlDr0o7dozU24CZ61EbiqGFvvjuZl/Y0c/Nzf2dPSxiHBLeeU8ZDl00jz+tMed1TIePDU5/5zGfYtm0bn/vc5zBNky984QucffbZ3Hnnndx4441omsa1117LJz/5ybTWQ5Ikrj6jhJklWXz3lb3Udqr8ZHMN7xzs4DtzK1L2C1N1k9Vv1TA+30NINTC7b6xgsHpL7Ygfxsn0WcyCMFQkCVqjOm3HOc976awxPPRGNWDgkR1EDRNNt1g6a8wJXy8UM3jozWrW7bUfHov9Lv79ksnDsnfRm2Sl8tF6CH2wr2nAqdFDMYNVmw7w5z320rZCn5PvXVzBOeNyUlK3q3+7lTFZLoqzPUR0k45wDMuyaI8avPNPc1JSxlC5+rdb42cxK4qMrhuENYNiv5tnrz9zqKuXUmLcf2RKVduaIxqdEe2EZ/dsrm1nzbZ66rtUxpxk9dTOxiDf+8s+6rqHry4cn8t35k4ix5Pcw+pg5zTOmpz8AU1Dv35rGPC7ZO6+uIJzy7J58I1qmsMaX//zbr7wyVJuPacM1yA37Y0NuGmJ2LmqxuX6kDwKdV1qWtMXZ8qyynKWr98DGARkx7A8i1kQBiPRTXvnl+eedImtYVo8ta2eX753CMOycMkSt1eO55ozilO6ijOdxE60XhZOKeQ3V81kRrG9ouB/tx/mH/+4k+q2yKBed+msMWi6Raeqc7A9jGqY5Hqco+LGOtzPYhaEwdAte+NuKnZ513ep3P7iLh599yCGZTEpz8vjn5vBtTNKRkzAADE8dVy6afLr9+v4n611mBa4ZImvnVfOtTNKcAzwl9vTdW0IxyjxubjtvDKumFaEyzF64vZoHuKA0d0+0bZjqaZFU1Ad9H3FsizW7W3hoTerCWv2a11zRjG3V463l70OghieGiYUh4N/PKeM88pyuPfVfdQHY/zX5hrerGnnOxdVUJyVfJKwnq5r719yfaedesQ7wlOPnCr7NIRTgyRBMGbQHIoNOot1e1TjwTeqeXV/GwD5XiffmTtpwDvFh4ORfbdKs1mlAZ645hN8dpq9o/OdQ53c8IcPWbenOSVLc3XTPgKyXdXhhNNrw5vYpyGMJiYWTWGNhuAML/9PAAAgAElEQVTgjz1440AbX1y7Ix4wPj0hlyevmTlsAsaI2RE+0vhdMt+ZW8GFE/L4z7/tpz2qc+9rVby2v41/vXAi+b7BLc01LWgNxVANhUKvE3kEjW3C8fdpjJblxEOhp9dW0xFlfI5H9NoySDVMmkKxQQ9Hdak6P32rhv/rTjTod8p884LxXDG1cFjMXbhkiWyvkxzPwG7/oqeRoLkT83jqmk9w0YQ8AP56oI0v/uFDNu5rGXSvwwKCUZ36LhXVGFk9jpqO6DHDa2KfxsD07rXleWTRa8ugNlWnrnPw8xdv1bbzxT98GA8YZ4/N5slrZ/LZaUVDGjAk7DmM4oCbsmwvOS4FxzFJjhJzyvY0eiamk8lIme9zsnL+FF7e28KqTQdoj+p89y/72FjVyl2fmkCBb3AHoqi6SV1nlAK/kxy3ktJDXNJlfI4nvk+jR0Q3R8Vy4kzr3WsDRK8tA3TToik8+JTmXarOf79Vw4vdwcKjOPjaeeVcfUbxgBfPpIIEeJwyOR4FvzM1+fVGT08jid/L5tp2HnqjmpZIjBy3TEskxkNvVLO5tv3kxUgSl00t5KlrP8EF5fbmv9eq21i6tv+5js217dz+4i7m/XwTt7+464RlmZZFczBGQyiGOQLmOZZVlhPTLcKagWVZYp/GIIheW2ZFdJNDndFBB4y/HbD//nsCxpmlAZ64ZuagVlumgltxUBJwMzbgSlnAgFEUNIr8btxOOaHYsWZbPU5FwqvY4/BeRcapSKzZVp9EeS4eXDiN715cQcAt06ka3PtaFXet+/iYJGV9gpRHOWmQsoCuqE5dZ4zYMD9KVuzTSJ3xOXbGgN5Ery31JAk6YzqHu6KDmuxujWh8d+Ne/m39HprDGh7FwTfPH8/Di6ZTlj10vzOnQ6Ioy8W4bE93sEht4Bo1w1NexUFZwE1IM2iL6qjaiZ8e6rpUctx9I28yGSl7SJLE5VMLOW9cNg+9eYDXqtt462AHX1z7IbeeW8a1Z5QgO6TjBikwWLOtvt8hMVU3qO+MUuhP7ZNCqs2rKGBeRcGoXuufCb1313sVBxHdFL22FLOAlrBGR1Qb8PCvZVn8eU8z//1WDZ2qfZ85d1w23/70pIQSFKaL7JDI8TrJccsDnq9IxKgJGj38ThmfU6YrptMe1tCO8yTRk9bDvnnbEs1IeTwFPhf3zZ/Ka/tbeejNA7RENH6yuYb1e1v4t09PHFSQ0k2LhqBKrtdJfpJ5aYSRxe612XMbtR1RysXqqZSKmSbNIY1IPw+UJ1PbEeU//7af9+vth6OAS+aOOeP57LShWxnlkCQCHoVcj4KSgTqMuqABdmcs26WQ5ZLpiOp0RvU+3dCBZKRMxMWT8jl7bDYPb6nlhd1N7GoK8eXn/k6Bz0lYN/A7j/y4kwlSlgVtYQ1VNynyuQa8vloY/np6bULqWJZFR0ynLaxhDHA4KmaYPLWtnie21sXP0Lh0cj7fnDNh0MvuB0qS7MUSvhwP7gzeE0ZNGpGWliDmCd4QhmXRGTPojGjx4JFMRsqB2FrfxQNv7Ke63Z7ElCXI9yoU+l2ENQNNt7jrwolJl6k4pGE7XDXah6dGc/tGa9t000J3OTnU2Dng13jnUAc/eqOa2k57ZKAky8W3PjWRC8YPzSY9CXA7ZfK8TiaMyRnw783hkCgoyEq+/FMhaPQwLIuumEFnVEPLwH4IzTBZs/0wv/ngUPzpxK04mJLn5Zazxw04SEkSZHucFHidJxy5HIpNYpm68QzVBrjRemOF0dm2kGanAsnO9Q0oP1NjMMZ/b6lhY1UrALIkcf0nS7n5rLF4h+ChTQJcTpk8j4Lf6QCkQf3eBho0Rs3qqUTIkkSuW6E820txwI1bSed0EThlBzedNZanrv0E53cvz1V1kz2tYT5sCBLVBza2alnQEdE41Bk97mbA0bxJbDS3TUgNy4LW6MBTgWiGyZpt9Vz/++3xgPHJkix+c/UMvnZe+ZAEDJci2RvzAu60rIhKxinV0ziekGbQEdWJ6kZaN9NZlsVfq9v46Zba+AR4id/FHXPG85lJeQOeRHNIErk+J7luJf426n0wUo9MHIyUiafVoWobjM6n8R6jpZcY1U2awxpqrweyZDLBbq5t5yeba6jp3huT51VYdl45l00tHJI9F05ZItfrJOBU6F18KpKEDrSnMSonwpPhd8pkuWQimklb1F5ZkY7gIUkScyfls/ATY/npa3v53+31NIRi3L1xL2eNCfCN88czrcCf9OualkVrKEYkZlDgd+F2SNR0RJGx2Ndl59FxKw4Kvcqo2CQmjpcduXp6iS5F6tNLXLmAQQcOE4u2iE5nVGMgc921HVF+svkAm2o7AHBIcM0ZJXzl7HEE3Jm9TUqAS3GQ43WSdZy9Z71/jr2ThKbi55iIUz5ogN2d9SgOxmS5COsWrRGNmGakZT+2zyVz6zllXDGtkJ++VcMbB9r5oL6Lm5/9O4unF3Hr2WUDWo0R0QzqOqLk+pyUBVy8fagT07LXpesxg3DM4LRCX+oblGEibcnIlY40KT1pzFvDsfi8YTI6VZ1fv3+IP+xsjA9lzR4T4M4LJjA5P7m/l4GkJurNIdkpP7Ld/af8GOokoSJo9CHhUyS8ATcR3aQzqhPRDMw0dD3Ksj08sGAaWw528NPNNexvj/Cnj5p4ZV8LN8way5JPlCZ9QEtPryOkm4zP89EUUgmqdvCzsP+4RrplleV84/8+4mCHPV6tOCSyXDL/fsmUoa6acBKp7iVqpklLRCes6kk/4OmmyXM7G3n8/UPxDXqlWfZw8cUTkx8u7sn64FSkPqmJElkhKTskstwKAZeCR5FOOtIx1L3tIQkaDz/8MC+99BIAc+fO5V//9V9Zvnw57733Hl6vF4Dbb7+d+fPnD0X1kACf4sAfcBEzTIIx45i9HqlSWZbD/1wzkz/uauSx9w7SqRo8+u5BntvVyG3nlrFwSkHSY6m7GkMoDomigJscj0VjUMUwLBpDWsrrPxQkqef0EQsLiWGQbVpIQKp6iZYF7TGdjkj/+y7ip2WGYpT4XSydNYY5ZTm8Xt3Gz9+ujS+h9Tkd3HjmWD4/M/kHtR69sz4AJ836IAFORSLgdpLlkuOb8hJ5Ph3q3nbGg8amTZt44403eO6555Akia985Sts2LCBHTt28NRTT1FcXJyReiQyIWdZ4HQ4yPM4yPEoR5br6lZKh64Uh8Q1M0qYP6WAJ7bW8fsdDTSGYvzHa1X8bvthvnpeGZVlOQk//ZimRcS0qGmLkONRKM/10hnV6YjEUljrobF6Sy05HqXPxsiwJjLBjgSDTZMiSRDSTFrDJz/zos+Tf3e+t/teryLgVuJ7pxwSLDpt4EPCvSWa9aH3EJQvwVx5R+v9cwzIjownCZW///3vfz8jJXWLRqNUVlYybtw4ZFnmww8/RJZlXnnlFXbu3Mljjz1Gc3Mz5557blJdxEgklvAEds9EUtQwCLhkOlSd9XtaqMj3UpF3/HFMCQmP7CDb7cStOLCQMMzkg4fX6yISOf4Tv1txcF5ZDgumFNAa0djfFqE1ovHy3ha21ncxIddLsf/k6df/Z+uh+GSgqpt0RDX8LpmxATe3nD0uyRonzu93Ew6nNzA9+GY1AZfc572hOCQaQxq3nlOW1rIz0b6hkom2VeT5qMj3srMxRGNIY2zAw/K5kxIK9rpp0RzRaA0ndgTrf/5tP21RjfaoQWMwRodqENZM2qM6AJ8an8t9l05h8fTilCyh/duBNrpiOk7HkZ5K1DAp9ru5YloRskMi4FYo9LvJ8yo4HQNf7t/n5xiOMSbLnfDPsTdJkvAN4DiHjPc0pk6dGv//6upqXnrpJdasWcPbb7/NPffcQyAQ4LbbbmPt2rVcd911Cb9uMkvHHlv7IV63jN9lN9/phFBM57H361hSOTHh11F1g66oTkdU42RzcH/d18zjW2o52BGhLMfLlyvLuWhy4XG/Nj/fz+qJBXxY38mPXtvHlpp23q/v4h//uJN5Uwv5+qcncVrRidt7dPA0LXujUkjViSoKBT4nXld6fvVFRYG0vG6PKYV+6ruifSYKQzGdyYX+tJcN6W/fUMpE25YUBZL6GzNNi7ZIjHBEw+lzk+dLLPVOdXuEzqiOYfU9SFl2wOPXncmc7sPUUuWfPjWRezfsIWZaeBQHUd3EsCTuuGgSk8bkkutTcCup29+R0xzG5ZTBsjf85WR7M/beHLJ9Gnv27OG2227jjjvu4Kqrrurzbxs2bOD5559n9erVCb9eMvs0znnkLfI8fZ9WLcuiPWrwzj/NSbjMI98LYd3e76HqxjFL/np3lf0uhVBMTziNiGVZbDnYwSPvHOTjljBgj4deOjmfm2ePY2Ku95jvmfv4O5iWFV89JWF3ix2SxOtfPjdtCc4ysda/93LD3kMcmUjHLvZpZI4kQVgzaY1oRJNMMFjfpfL5p7ej97q1Sd3/eRUHG24+J7WV7RafQwmqTC308+VzxnHJxIKU54rr/TcQ8DjpimoD+hsYUfs03nvvPb7+9a+zYsUKPvvZz7J7926qq6tZuHAhYN8oFSV9VUv1RJIkHdnvETVMQjGDYFSPZ9gdaGp0+7Ul5pTncl5ZDq/tb+Ox9w5yoD3Khn2tbKxq5dLJBdxy1ljG9woe5TluDrRHURz2H4qF3dsoz7Gf0kzLoiOiEVJ1O5WySxkxk8kiE+zop5ombRGdcExPas/U4aDKk1vreWF3U5+AoTiIdzdcA5zoTsQF5blcPCmfbI+dLDVd+SZOuSW39fX1LFu2jFWrVnH++ecDdpC47777mDNnDj6fj6effvqY3kcqpevcAssCt8OB2+Mgz+OkK2YPXTWEYmQ5+75Zkz2/wyFJXFKRz9yJeby8t5lff1DHoU6V9XtbeGVfC5dWFPCls8YyKc/Lssrx/OC1KsKagWFa9pI+l8yyyvF9XlM3LVpCMYKqTp7XGc9nM9yJTLCjk25ZtEd1uqJ6Usvc67tUnthax/993Byf73A6JNyKhG5aGKaFojgIuOS0HI7kkMDrVMj2KHjTnJoITsElt48//jiqqnL//ffHry1ZsoRbb72V66+/Hl3XWbBgAYsWLUpbHTLxtNqTnj3gVDivLIcD7RE03aRnzcdAz++QHRJXTCtiwZQC1u1p4Tcf1FHXpbJ+Xwsb9rVw8aQ8bjxzLHdfXJFwFl9VN2noUuOZM31KT2deENLPAjpUewltMsvaq9sjPLW1npf3tmB0B5lCn5MvzhpDaZaLn26uOWZIeLDHH/SmOOxh3iyXjFt2pDUNUW9DveT2lM09lclMqX+pauH+v+4n1+dEkR0c7ozQFtYHlBr9aLppsm5PC09sreNg55Gey5yyHG44cwxnlgaSWoUmSeBRuoOHM7k/hNGSv+hEhtu4fyoNRdssIKgZtCe5m3tXU5Ant9Xz+v62+CR3kd/JDbPGsvi0ovhei/gcQzhGic+VkuMPJAncikx2d6bZ9PcrjjXUcxqnZNAYisnUnhtdm6ozJd/L/5tZwmn5/pRtGNRNi79UtfI/W+vY3xaJX59R7OcLnxzDRRPykJOYkJMk8Dplcj2JBw8xET5yZbptIc2gLaKddL9Fj54FIU9tq4+fmgf2KZw3nDmGy6cW4pKPP1+RTMLCE0l213a6xRMWBlXGZWU2YeEpGTSGS6ZUEyu+2zxmmCl5I5qWxaaadp7YWs+OxmD8+rhsN0s+UcoVUwuTWpfeEzzyPE68JwkeIsvtyJWJtlnYwaI9ohHTzYT2OKm6yYZ9LTy94zD7Wo88DE3J9/LFWWO4pOLkq5MGGjQckoTH6SDgVvANUa/iZIbiPI1TMvfUUE8k9XAgke1SyHYpdq4r1c51NdAjKcF+o184IY9Pjc9l6+Eufrv9MG/UtHOoU+WhNw/wi3cO8g/Ti7hmRgmlWSefU7EsCMcMIpqRcPBIp+HyuxMSZ1gWIa374SjBYNEa1nj+o0b+sLOBtogev3722GyWfrI0qQwJyeid3sPvdODK4FzFSHFKBo2hnkg6Hq/iwKu40E2LLs0g2H264EDfr28d7Ihn3DyjyEe228n79Z10xQzWbD/Mbz88zEUT87jmjBJmjzn5vEfv4OFRZHI8A0+DMBjD8XcnHEuS7LMtumIGQVVP+EFoZ2OQ3/+9gY1VrfGhW1mSmDc5nyUzS5lelPzxAYmQHRJep0zA3XcFlAgYxzolg0a6ltymguKQyHMr5LoVwppBp6oT1Y7dMNifozNu2kMCOt+ZO4lDnTGe3dlAc1jjtf1tvLa/jUm5Xq4+o5iFUwvIOslOccuy07BHNSP+RLb9cCe/ePcQe1rCAz4QJlHD+Xcn2EOuIc2kI6oTS/Bgs6husGFvK8/tauCj5nD8erZb5srpxVw7o4SiBNLnJMshgUuRCbhlfE4Zp2Po5ypGglNyTgOOTCRleoNYsmOQkmQvz+1SE39iu/3FXbREYvGMmwAR3aDA6+LhRaejGSav7m/lDzsb+bDhyLyHR3FwaUU+nzu9mNOL/Al1/zfXtvPI27Xk+50U+N20hFRaQzr/Pm9y2hcVDPff3UgyuLZZqIY9PxdUE88GvbclzJ92N7FuT3OftP1TC3z8vxklzJ9cMOCss731ntOQJPs0vKzu4adMLpVNBzGnMQSG+/slvmHQ6yDfqxDWTIKqQVQ/8dzHyTJuOmUHC6YUsmBKIR+3hPjD3xvZsK+FqG7y4sfNvPhxM5PzvSyaVsTCqQXkek6cAXTNtnpipklHRCeiWXgVidJsF8/saODSyQVp+YMUm/uGniSBZliEdIMutXuuIoHf9V+qWvjFuwep74rFMyaAvRnvkop8rj6jmJnFWSmdr7BPwrP3a/id9p6KHiM5YAyVUzJopPPYyf7KHPSZvkhkOWUCLhnNsAhq9pPd0Suvxgbc1HZECGkmMd3EpTjwOx2U5xybp2pagZ/lF03ijjnlrN/bwh93NbGnNcy+1gg/eauG1W/XcuH4XC6fVsicshycRy1r7B2gDMuiI2pgWRYHO6LUdqpkd3f9U5njShgakgQxw0I1TLpUnahmJrRz2zAt3q/v5H8+qOOD+q4+D2qKBJdNK+Rr55X3+3CSLIck4VQc+F0y47I9hIb94+HIcUoGjXQcO9mfjVUtfPPPH9GpGhimyeEulW/++SP+64rpAyrPsuy5j9zuuY+obhLUDELdw1ezxwbYWt/VnaQQYrpJVDO58vQTZ8HMcilcfUYJV51ezK6mEC/ubmLDvlZCmsFr1W28Vt1Grkfh0skFLJhcwIxie/hqbMDNwc4oXTED3TBR5CPpGlTNoEkz4pOM/u6dsy5ZjB2PFD3Do1HdJKQaqHpigcKyLPa0hlm/t4X1e1toDvc9DkDCHibKccvUdaopCRiyQ8KjyPjdMh5Ziq988rkVBrdLQ+jtlAwamV62+YPXqmiNaMiShFN2YJj2OeQ/eK0qJUHKozjwKA4KPE4ihkl9UGNygZf6YAxVM3B25915v66LW2b3/1qSJHFGcRZnFGfx9fPH89r+Nl7a08y7hzppj+qs/XsDa//ewNiAm0sn5zMxz8MH9V3Ikp12WtNNmjWTf5heFH9Nw7QIqjpBVY8/AWa5ZHyKwz6bRASQYcUCVMMkopuEVB3NMBNeiHGgPcLGqlY27mtlf3ukz78pkp040yHZN3jTsmiL6Ohm5ASv1j+HBIos4XUqeJ0OPLIDpddktnhfpccpGTQyvWxzX2sYLNAsi5hhIUng6LmeQpJkH1P7cXOIsQE3kwv8qLpBUDUIqlpSCRLBTidy2dRCLptaSGMwxvp9Lby8t5l9rRHqulSe2FoPgNydqsowuycZ+wlQpmWhagaqZtAmgVOxswN7FPuPPhFDlUYkE4aibZJknw0T1AzCMXtlnG5ZCd90q9sivLq/ldf2t7HnqPf0+BwPC6cUMH9KAbc8+3eiuhHPTOCQJAzLQkswhYiEPXnrUWR8Lvv9cvQu8KEMFKP5fdnbKRk0Mr1s07RAt+iz9lsHpDS9wYv9Luq6VHxOvXtHq0yWW2ZCvgPZIQ1o82BxlosvzhrDF2eNoao1zIZ9rWzY10Jdl2ofQNX9kpIJumk/cfZk2D0R0yIeQCQJFEnC65JxK/aqFqcsIUt9h7KGYj4qUzLVNqn7iV/VTSLdqfyzkGhJ8KHCtCx2NYX424E2Xq9u40B73x56id/FJRX5XDo5n+mFR1bhOWUJ1bC/vydlf89qpv7qqjgkfC57X5BHOfY9cSKpmEdMVKbfl5ls29FOyaAxr6KAz3+ik0ffOUQwppPlUrjt3HFp+6E7HRJa99GwPX8sPdfToXdQtCyL1rB9rvkDl0+jLMdDRDcJqjqqbg4ogFTk+7gt38et54zjy8//nZqOKBHN3umrmRZt3UdqLnrqA+aU5/Cp8blUluUQcJ/47WZ198S07u+Vug+NUmR7Et+tyLhkiSe21pPjlZElCdNK/3xUJqVrrk2S7NxkMcOy5ye0I3MTPTdf/0neBqGYwbt1nWyqaWdTTTstRx1ZXOJ3cfGkPD4zKZ+ZJVk4jrPwYVKeN6EFGr0nsX2KjPuooJJowEjlPOLJZHKetHeAyvc5M/7gdEoGjY1VLTz9YQPFWU4mKG4iusnTHzZw5pjstPzQ/S6ZaK/0CT2Jx/2u1B3/2NuJguLcCfkABJwy2S4ZzbTsSfSTLOE9EUmSuHBCLr96rw4H4HDYQ1Q9Keg6VJ2X97bw8t4WZAlmFGdRWZZDZVkOpxX6++2FWJa9Gsswu3siaDgcEjUdEYr8Tjzde1A0wyRgyDSFRv7Z3amYa+sJEFr3f6puBwndtDCTONPetCz2toZ5+2Anbx/sYOvhrmP2X0zM9XDhhDwunpTH6YUn39ezdNYYHnqjmiK/jEd2EDVMdMPiptljcSsOvE4ZT/feicFutEv3POLRajqiyBLs7YoQM0xcsoMinzMt86Sn3CFMw0GmV09NK/Szvy1CR/ekolN2kONWmJR37BLYVEgkKFqWPRzUs4RXN63uHkhyAeT9ui4KfAohzUQzTDxO++mx2O/msmmFbKpp5726TmKGxfaGINsbgjz23iECLpnZY7M5Z1w2s8dkMzHX0+9Nx8KeUPfIDqrbIngVGcUh4VIcWFhU5Ptoi2oosgOnJCE7QHE4cEgjZ0I00bm2nh9Tz3xAT5CI6SaqYdiBO4k5CbBXO9V2RHmvrpP36zt5r66zT84nsNN5zCrN4oLxuXx6Ql7Sc4Dnl+dy14UTeWbHYTqiOjOKA9xw5lg+PSHvmBV1g/2d7WsN2w8ykv2IZr8PrJTPI/YIuGR2N4fiCwZ0w6BWMzitMPVpT4Y6/9opGTQy/UPvGS4aG3D1yX+frjmUZIOiZdk3hPgekCR6IHVdKvleJwU+CVl2YBimPSQW0bjmjBKuOaOEiGbwQX0Xbx3sYEttO7WdKl0xg9er7TFxgFyPwpljApxZGuCTJQGmFPiOm7106awx/PD1Kuq7Yn1OJfziJ8fS2r2sU8LuBfWMhyuO7vkRh2R/xA4qskPCgRS/CWc6uBwdI795wXhWvr4ft9OBz+lAMy2y3Aq3V46nXbVPs9MNO0AYpr2iyeo+Cz5ZpmWxvy3Cc7saebWqlU5V53jz0aVZLs4dl8P55TmcOy5nwL1j2WEvgf3s9GKunVGK+6gT7lL/s5eO+flKUvoOF+uMasf8/AzLvp5qQ51/7ZQMGpn+ofc+KXAw+e8TNZigeHQPpCeA9CQrNI56gu29kbCnF3X0OLXXKXPB+FwuGJ8LTKC+S+XdQ528W9fBu91PtO1RPZ4LC+xlxGcU+ZlRnMUZRX7OKM6K5x+yrCNDfBLH3nAs7Jsplt07Uel7ZoMkHQksYC8VdkgOZMl+Iu2ZT7H/X+K9uk7+8PcGGkIxiv1OPj+zlMqyXPv2c7x7kNVdB8DCvqmblj08ZHbXybTsPE2mXVlMy2J8jpebZ4/jdx8epqolQnGWi89/opQJOR5aBjn81hrW2NUcYmdjkB2NQXY2hghpxjFf5wBmlmQxf3IB55XlUJbtHtDu7N4T2N7uJeHKIIecklGR52F3c5jeA3IScFphenr3h4PH//2c6Ppg9J6zDMgOwpqR0fxrp2TQGIqkdz2pLzKRvyhVQbF3AMlyylhAzDAJdW8k1Lo3Evbe5auZJpGTbCQcE3CzeHoRi6cXYVkWBzqibK3v4oP6TrYfDtIQihHVTd6v7+pz4E6B14lm2gGgwOfEo9hj31HDZM22+oRPZeuOJ/FoY5gAx95AoW/yxyyXwqGOMO/WdnDnpyYwpyz3hEGj14eknD02m7PHZg/gO7vLtCwOB2N83BJmT0uIPS1hdjeHaTxB0JEluydqb4hzYFomikPimhklSZctYfco/G6FLKecgd7EiS2eXsTuNw/0KVOS7Ovp0NPL6NPeXtdTKdMPoUc7JYNGJs4IH0rpCooS4Jbtico8jxNVN9nbaj8RhzSDiHZkNdarVW3cMrvs5K8pSUzM9TIx18vnTi8GoCGosqMhyIeNQXY1hdjdHCJmWH1W7HSqRq86STQGNZ7YWseEXC8Tcj2MDbhPeJJbMtZsq0czTdpDJnWdarwn9eTWeirLclOevKzniNK6LpWx/Zztrpt2fWo7ohzoiFLdFmF/e4T9bRHC2vFPw5MliakFXmYWZzGjJIvVW2rJ98g4HI5eQ4tSUvt5HJI95Od3yXgUO/D01zHJ1F6GN2s6KM1yHzOP+GZNB3d9KuXFoXSvkDze9XTI5EPo0U7JoAGjO+ldJoKihD2E9M7BTnvHuVuhJMueUA/FjBM+2SaiJMtNSZabeZPt+uqmyb7WCLubQ/zyvUO0RzV6Tgm1gGj3RpFH3jkYfw2HZC8DLcvxUJrlZkzAzZiAi2K//V+hz5VQBtX9bZH4EmKwe1JhzRzwLub+bK5t5wevVRHWDHTDojUc4/t/CfMP04vIdiscDsY42BmlrkvlcFcMo59Hd5csUZHnYwDmRnMAAA61SURBVGqBj9MKfUwv8jM5z9enzS981MS+ljCdMSO+HDzbJTO5wHfc1+wZ0lNk4ruwXQ4p4YOKei+D1U2TplAsbctgazqiFPoUivxOFEVG1434ZH86TC3w9ZkIB7sXN/UEP8uRbFgFjRdeeIGf//zn6LrOl770JZYuXZq2skb77s1MBcWwZmBpBh0Ru/vvkh34XDI5XidFWS6impn0DuOjKQ4HpxX6Oa3QT3M4xi/fqzvmayryvMiSxIGOCDHDniuoD8ao72dMOcetkO91kudVyPc5yXEr5HgUsrvPgva7ZNqj+nG/tz2qo5smsiT1GfM3u+cnDNMOMDHdTvCnGiYRzSCsmYQ1g2DMzg4bjBm0R3XaoxpvHmgn0uvMbMOEWPehWSfidEiU5XiYmOthUp6Xijwfk/K8lOd4TvqUW+RTeL/+yLCcBXTEDIp89m2h9w7s+FJYWTpmOWyiv9cfvFZFY+hIb1E37ZxW6VgGOz7Hw66mIB1Re4JfliDHo3B6UfKpwBNx98UVffaFyA4H2W6Zuy+uSEt5Q2nYBI2GhgZWrVrFs88+i8vlYsmSJVRWVjJlypSUlzWadxVnmizZu93tOQL7tLaobtIpad1H2dr/FjPN7j0DZnxF1kBW/bzwUdNxr4diOs994SwM06IpHONgh8rBziiHOqMcDsao71Kp61L7BIEOVadD1dnfnnw9LOCix99N/hsH6LRCHyV+N+Oy3YzNdjMu4Ka8uxfV336X/qzf19bnc6l7fmNrQ4h8n70XxqMcu2x5oMF/Z9Px0wae6PpgjMly8mbNkd+1YUFrRGdMVuoy6fY2r6KA/7pi+qgd8u5t2ASNTZs2MWfOHHJz7fHbhQsXsm7dOm6//faUl5XpfRqjmd0tDx+zcbF3t1yi+0wQl4Ps7gPY1O4gEtHsJ/BEl442hI6/hLHnuuyQKM1yU5rl5pxxx04oxwyT5pBGYyhGczhGa0SjNaLRFtHpiOp0dgeSUMwgGNNPOD8wGJ7uhI0Bt0K2SybgUcjzOHlh9/EDIsCvr5qZ8nr0BAlv938uWSLS3RPK65V1dqTsc+ltw742HADdAU/qTsWw4ahAmUqjeci7t2ETNBobGykqOrKyobi4mO3btyf8/cmcQHWoSyXf5+wzrBCQHRwKqhQVnXjVT6pkooxM+dGVM7nl6a10dZ/YpjgkAm6FH105M+F2Wpa9c1nVDVTdIqoZxEzzyCqn4zh6lQrYJ7QlojSJBTTT//PVE/7bmqVnoZt9h90c3UtNHZK98dAl25l8XbKdFsPrlE/YM3ihn7ISbduJ9CwPdgBu2V7ZNCnfFw/aTUGVaK+hsUy/R1NdXlAzcCsSktT7wCX7CIHR9PcHmf9dDZugYZpmn5u4ZVlJrQ9P5rjXcQH3MUtSw5rBuCx32lcijLYjQ88p9LHq8tOOWf53TqFvQO2UAJ8EHstOz92z0zmim+iGSY5Htg96Our7PIoUP9IzUyb5EhzqME0wTWKazkCXByTTtp79JS7ZgcfpwNm9S16RJfswLF0HHfa1nHh3dDreo47uRInHu57q8rKcMmFNR3HY9xHLsnfOZzmVUfX3d0of91paWsq77x4ZI25qaqK4uDgtZQ3FPo3RLNXL/3o273lkBx4ZcMrxzKz//KkJPLWtwZ5c1u3/YrrJF2clv68gEQsn5/HycYY0Fk7OS3lZs0v9vH/42OAwu/T4vYye1UyyAzuho+LA3R0YnPLJU6icXuhlV/Oxq8BOT9MGuKtPL2LtzmOH4K4+PfV7J247dxwPvXkA3bT3nejdc2i3nTsu5WWdaga/kD1FLrjgAjZv/v/t3W1IFPseB/Cvq7vrpl07PqXXulYes3tSpLgVZrcHi8x0W7XoiSTpCUtCyzKTyCC1rMBDdCRfWC+issxMDQsDO6EpRYlJSRBhkiVlSIT5sK7rfbE6+XRhzFlHt+/n1c6ss/P7o+539z8zv6lCS0sL2tvbUVpaiqVLl5plX6ZTUr3haqfG145uuNqpcWq19y8xHzlR9QVJzH/+hYg5zujQd0Nv6IajrQ0S/+uJo8t+h7O9Cg4aJTQqa6FtiMJqdI0jUoK8Eez1m/CPooApMFKCvEc/qEEuaOcOCYj5bna4oJ0rXKWusjFN/znbq/DPf9hi+hRbeE7RYKqdCr+pbTDJxhoqa8WwV8oP9vfORUMC4t/OGvy9c5HEIzP5SzsXG/5wgXXflfhWVtjwhwv+0s6VfF8JgTOREOiJSUob6I3AJKUNEgI9kRA4U/J9/WqsenrGz2Gu4uJiZGdno6urCxs2bMDu3btFbzuS6Sk5Wdr0VH/jZWx9s5rGHtNpnd1GwNDT27Opt8GfoceI7u4fTSZMx09+XMo93F+So6Od5FNgfccahH5ZQG+PLFPbDVPPJtMxEhvF0NNdpTJefnfmwLENb8JPTwGAVquFVquVuwya4PreVK0AKBUKKIf5Pi0Ei7GvB5Rp+qK3FZTQF8p0arApbOyU1mhTWmPI56zePlX9mx/27V/R2zhRYfXj54T1/Z433S73RwPF/xcM4+cjHv2qxlVoEI0VIVisYOp6K+KkC5cpGqgNw1/s1/81paqNaDxiaBCNAN/Q6Vc3bg6EExHR+MfQICIi0RgaREQkGkODiIhEY2gQEZFoDA0iIhLNYk65VZjptormMJFqHSlLHhtg2ePj2Camnx3bz243rtqIEBHR+MbpKSIiEo2hQUREojE0iIhINIYGERGJxtAgIiLRGBpERCQaQ4OIiERjaBARkWgMDSIiEo2hMUYuXLiA0NBQhIaG4syZM3KXYxYZGRlISkqSuwzJlZWVITIyEiEhIUhNTZW7HEkVFhYKf5cZGRlylyOJ1tZWhIWFobGxEQBQWVkJrVaL1atXIzMzU+bqRm/w+G7cuIGwsDBotVocPXoUer3erPtnaIyByspKVFRUoKCgAHfu3MGrV6/w4MEDucuSVFVVFQoKCuQuQ3Lv379HSkoKsrKyUFRUhLq6Ojx69EjusiTR3t6OtLQ0XLlyBYWFhXj27BkqKyvlLmtUXrx4gS1btuDdu3cAgI6ODiQnJyMrKwslJSV4+fLlhP79DR5ffX09cnJykJubi6KiIhiNRly7ds2sNTA0xoCLiwuSkpKgUqmgVCrh5eWFjx8/yl2WZL5+/YrMzEzExMTIXYrkHjx4gLVr18LNzQ1KpRKZmZnw9/eXuyxJdHd3w2g0or29HQaDAQaDAWq1Wu6yRuXmzZtISUmBq6srAKC2thaenp6YPn06bGxsoNVqcf/+fZmr/HmDx6dSqZCSkgJ7e3tYWVlh9uzZZn9vsZgut+OZt7e38Pjdu3e4d+8erl+/LmNF0jp+/DgOHDiApqYmuUuRXENDA5RKJWJiYtDU1ITly5cjPj5e7rIkYW9vj7i4OISEhECj0WDBggWYP3++3GWNSlpa2oDlz58/w8XFRVh2dXXFp0+fxrosyQwen4eHBzw8PAAALS0tuHr1Kk6dOmXWGvhNYwy9efMGO3bsQGJiImbMmCF3OZLIy8uDu7s7AgIC5C7FLLq7u1FVVYX09HTcuHEDtbW1FjMN9/r1a+Tn5+Phw4coLy+HQqFATk6O3GVJymg0wsrqRwvwnp6eAcuW4tOnT9i+fTvWr1+PRYsWmXVfDI0x8vz5c0RHRyMhIQERERFylyOZkpISPH78GDqdDufPn0dZWRnS09PlLksyzs7OCAgIgKOjI2xtbbFq1SrU1tbKXZYkKioqEBAQACcnJ6hUKkRGRuLp06dylyUpNzc3NDc3C8vNzc3C1I6lePv2LTZv3oyIiAjExsaafX+cnhoDTU1NiI2NRWZmpsV9Ir98+bLw+Pbt23j69CmSk5NlrEhaK1aswJEjR/Dt2zfY2dmhvLwcK1eulLssScyZMwdnz55FW1sbNBoNysrK4OfnJ3dZkvL390d9fT0aGhowbdo03L17F+vXr5e7LMm0trZi586diI+PR3h4+Jjsk6ExBnJyctDZ2YnTp08L6zZv3owtW7bIWBWJ4e/vj127dmHr1q3o6upCYGCgxbzpLFmyBHV1dYiMjIRSqYSfnx/27Nkjd1mSUqvVOH36NPbv34/Ozk4sW7YMa9askbssydy6dQtfvnzB5cuXhQ9wQUFBiIuLM9s+eec+IiISjcc0iIhINIYGERGJxtAgIiLRGBpERCQaQ4OIiERjaBD1amxshI+PD7Zt2zbkuaSkJPj4+KClpQUAcP36daxbtw5r165FaGgoDh8+PKDnT1RUFKKiomA0GoV1LS0t8PHxAQCkpqZCp9NBp9PB19cXwcHBwnJHRweioqKG9EhqbGzEvHnzzDF0ItF4nQZRP2q1GvX19fjw4YPQ06etrQ3V1dXCz2RkZOD169fIzs6Gu7s7jEYjioqKsGnTJuTl5cHNzQ0AUFNTg4sXL2Lfvn1D9nPs2DHhcVBQEM6dO2dxF9aRZeI3DaJ+rK2tERISguLiYmFdaWmpcBW4Xq9Hbm4u/vzzT7i7uwMAFAoFwsPDERwcjOzsbGG7ffv24dKlS6ipqRnbQRCZEUODaJDw8HAUFhYKy3fu3BH6hVVXV2PWrFlwcHAYst3ixYvx/PlzYXnmzJlITEzEoUOH0NraOuI6zpw5I0xZ6XQ6i7tamyYmTk8RDeLr6wtra2u8fPkSTk5O+P79O2bPni08bzAYht1Or9cP6aC6ceNGVFRU4MSJEyPuyZWYmDig5UVjYyO0Wu2IXoNIagwNomGsW7cORUVFcHR0hE6nE9b7+/ujoaEBzc3NA+7TAABPnjwZ9kD1yZMnhdcjmug4PUU0DJ1Oh/v376OkpARhYWHCeo1Gg6ioKBw8eHDAzXzy8/NRWlqK3bt3D3ktBwcHnD171iLuT03EbxpEw5g6dSq8vLwwefJkTJkyZcBzCQkJyMvLw969e6HX66HX6+Hn54fc3FzhjKvBFi5ciOjoaFy8eHEsyicyG3a5JSIi0Tg9RUREojE0iIhINIYGERGJxtAgIiLRGBpERCQaQ4OIiERjaBARkWgMDSIiEu1/OZMU4355pMYAAAAASUVORK5CYII=\n", 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\n", "text/plain": [ "
" ] @@ -829,7 +1134,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -838,7 +1143,7 @@ "(0.6647546282416419, 16.58865346899516)" ] }, - "execution_count": 18, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -851,7 +1156,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 23, "metadata": { "scrolled": false }, @@ -875,7 +1180,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -905,7 +1210,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -915,7 +1220,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -924,7 +1229,7 @@ "array([ 1.68178223, -21.14169112, 67.38422486])" ] }, - "execution_count": 22, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -936,7 +1241,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 27, "metadata": { "scrolled": false }, @@ -956,7 +1261,7 @@ " 11.10204082, 11.32653061, 11.55102041, 11.7755102 , 12. ])" ] }, - "execution_count": 23, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -969,7 +1274,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -987,7 +1292,7 @@ " 39.95689808, 43.67855318, 47.56971737, 51.63039063, 55.86057297])" ] }, - "execution_count": 24, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -1000,7 +1305,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 29, "metadata": { "scrolled": false }, @@ -1024,7 +1329,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -1034,7 +1339,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -1044,7 +1349,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 32, "metadata": { "scrolled": false }, @@ -1077,7 +1382,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -1117,7 +1422,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -1214,7 +1519,7 @@ "4 2009-04-01 32.82555 -117.2449 152.25 2.05 4 2009" ] }, - "execution_count": 30, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -1228,7 +1533,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -1249,7 +1554,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ @@ -1260,7 +1565,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -1276,7 +1581,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -1287,7 +1592,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -1297,7 +1602,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -1306,18 +1611,19 @@ "[0.5235987755982988, 10, 0, 10]" ] }, - "execution_count": 36, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# compare the guessed values...\n", "p0" ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -1334,18 +1640,19 @@ " 7.32071235e+00]]))" ] }, - "execution_count": 37, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# ...with the fit values\n", "fit" ] }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -1355,7 +1662,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ @@ -1365,7 +1672,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 44, "metadata": { "scrolled": true }, @@ -1402,7 +1709,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -1795,7 +2102,7 @@ "22 1.036336e+10 6.252570e+13 " ] }, - "execution_count": 41, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -1830,7 +2137,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -1839,7 +2146,7 @@ "(0.39231409401451894, 0.06408634688502726)" ] }, - "execution_count": 42, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -1852,7 +2159,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -1861,7 +2168,7 @@ "(0.5186568153916277, 0.011223179377141783)" ] }, - "execution_count": 43, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -1889,7 +2196,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 48, "metadata": { "scrolled": true }, @@ -1900,7 +2207,7 @@ "(0.453630792978124, 0.029697361455537457)" ] }, - "execution_count": 44, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -1913,7 +2220,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -1922,7 +2229,7 @@ "(0.453630792978124, 0.029697361455537457)" ] }, - "execution_count": 45, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -1935,14 +2242,14 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 50, "metadata": { "scrolled": false }, "outputs": [ { "data": { - "image/png": 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\n", 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5LRYtot7IDRkyhNmzZzNjxgx8Ph+XX345119/fbhjCSFCzHdkM/qeX2PWHcKS3A/b+XOxZ44L+euGpKjbsGED5eXlTJkyherqahoaGtA0rcVCh+PHj5ORkUFaWhq1tbUYhoHVaqW8vJyMjAwAMjIyOH78OH369EHXderr60lNTQ1FZCGECIlp06Yxbdq0cMcQQnQS35HNeHcvAEscxKViusr8X/NcyAu7kKx+feWVV1i/fj3r1q3j7rvv5qqrrmLx4sXEx8fz2WefAbBu3TpGjx6N3W5n+PDhbNiwAYC1a9cyevRoAMaMGcPatWsBf6E4fPhwmU8nhBBCiIil7/k1WOLQbElomoZmSwJLnL89xDp18+ElS5awePFiJkyYQENDA7NmzQLg0UcfZfXq1UyaNIndu3dzzz33APA///M//POf/2Ty5Mn86U9/4pFHHunMuEIIIYQQbWLWHQJrYstGa6K/PcRCvvlwfn5+YKXXoEGDeOutt045JzMzkxUrVpzSnpqaym9/+9tQRxRCCCGE6BCW5H6YrjKwJTU1Gi4syf1C/9ohfwUhhBBCiC7Cdv5cML0ovQGlFEpvANPrbw8xKeqEEEIIITqIPXMcccOfw5LYG7xVWBJ7Ezc89IskQO79KoQQQgjRoeyZ4zqliDuZ9NQJIYQQQsQAKeqEEEIIIWKAFHVCiJhhRMHdY4QQIlSkqBNCxASXblJW7wl3DCGECBtZKCGEiEhbDjhZtrOEQ9Vu+vVI4M4RWYwd4DjlPEMpqtw6NW4fdqu8TxVCdF1yBRRCRJwtB5w8sGkfx+o99EywcqzewwOb9rHlgDNwjlJQ49U5XO2myuVDRl6FEF2dFHVCiIizbGcJcTaNJLsVTfN/jLNp/GZXCQqo9RkcrnVRXudFl2pOCCEAGX4VQkSgQ9VueiZYA19bNOibHIeu4HCNC68uhZwQQpxMeuqEEBGnX48EXLoJQKLdSkZyPPW6iU83paATQogzkKJOCBFx7hyRhU9XJNotJMdZOFjZwNFqDzf9sE+4owkhRMRq8/Cry+Vq8XViYmKHhYl0wa7GE0K0z9gBDp6doPHyp4f5+lgdfZLjuX14FiOzUsMdTQghIlbQRd0rr7zCL3/5S7xeLwBKKTRNY8+ePSELF0kaV+PF2bQWq/EW5yGFnRAdSCmo8vjI7pHAE2MHhjtOgMfj4dVXX6Vnz56MGzeOu+++m6+//ppLL72Up556itRUKTiFEOEVdFH3xz/+kT//+c/069cvlHkiVvPVeMCJjwbLdpZIUSdEh1DU+0wqXT48J+bTRZLHHnuMhoYGKioqeO211xg7dizPPPMMa9as4YknnuD5558Pd0QhRBQzdQ8WW3y7niPooi47O5tBgwa168Wi2cmr8QASbRZKqt1hSiRE7PAYigqXF5fXIFKXQfzrX/9i/fr11NXVceWVV3LPPfcAcNdddzFlypQwpxNCRC+FxVeNUW9g6ZHTrmcKuqibOXMm99xzD5dffjl2uz3QPnXq1HYFiBb9eiRwrN4T6KkD/22JsnokhDGVENFNNxWVbh91Hj3iNw9WSmEYBsnJyYGCDsDtdqPrehiTCSGilaY8KLcT3dcA3Xq0+/mCLupWr17Nt99+i9vdsmeqqxR1d47I4oFN+wCDRJsF14mtFe4ckRXuaEJEHQVUeXSqXT6MSK/mThg/fjw333wzq1at4pZbbgFgz549PPDAA0ycODHM6YQQ0eVE75ynAmV23HSToIu6srIy1q9f32EvHG3GDnCwOM8/t66k2k2WrH4V4qy4dZPjDd6InDf3Xe655x4GDx6M1drUW69pGrfeemurw68//vGPqaiowGbzX3Iff/xxhgwZEtK8QojI1KJ3roMFXdSdc845lJWV0bt37w4PES3GDnBIESfEWVJAldsX1fdpHT9+fOBzl8tFdnY22dnZuFyuM27vpJSiqKiIjz76KFDUCSG6JouvqsN755oL+gqjaRrXXHMNF154YYs5db/97W9DEkwIETu8psnxeh8unxHuKO3W1u2dDhw4AMBPf/pTqqqquOGGG5g5c2an5RVChF8oe+eaC7qou/rqq7n66qtDmUUIEXMUNV6DiobomTvXmrZu71RTU8PIkSN5+OGH8fl8zJo1i/79+3P55ZcH9XiHI7lN+dLTU9p0fmeTfO0j+dqns/MppTDdFZjuKrBrQLeQvl7QRd2wYcPIyckJfK2UYvny5aHIJISIAR5D4Wzw4vZF7jYlZ6Ot2zsNGzaMYcOGBb6eNm0aW7duDbqoczrrMIMsiNPTUygvrw06W2eTfO0j+dqns/P5e+eOY/pcrZ8MpPXqxNWvt912GytWrKB3796UlpayYMECXC4Xs2fPbncIIUTs0E1FlUen1h29c+e+S1u3d9q9ezc+n4+RI0cC/jfEMrdOiNim+Sox3ZUo1bkLwoK+svy///f/mD17NjfddBO//vWvmTlzJnfccUcoswkhokjjQohqtx4zQ62n09btnWpra1m6dClvvPEGPp+PNWvWsGjRos6IKoToZI29c0aQvXMdLeiibsKECRiGwX333cfy5csZMWJEKHMJIaKI1zQpr/fhjoGFEK1p6/ZOV155JZ9//jlTp07FNE1mzJjRYjhWCBELFJqvKiy9c821WtTNmTOnxdc9evTgscceIzs7G5DVr0J0dfU+g+P1XvQY7p1r7my2d7rnnnta3IVCCBE7NOVGuZ1h651rrtWi7uQVr6dbAdvQ0EBSUlLHpRJCRDwTxdEaN2V1HlQI6rkdJVWs/PwopbUezkmJ55YhfRmZldrxL9RGsr2TEMIvMnrnmmu1qLvuuutafZJbbrmFNWvWdEggIURkU0CDz6DS5aNbd0vICrrnPynCbtPoEW/F6fLy/CdF/O+onLAXdrK9kxAiknrnmuuQJVgqFFd1IURE0ZWizmtQ6/bhNfz/5kO149LKz49it2kk2vy35PJ/NFj5+dGwF3WyvZMQXVnk9c41Z+mIJ9E0rSOeRggRYTQNPKbJcZePw9VunPXeQEEXSqW1HhKsLS9PCVYLR2s9IX/t1tx2222UlZUBUFpayo9//GPef//9MKcSQoSaptzgKsVwOSOyoIMOKuqEELFF08Clmxyt9VJa7aba1bl3hDgnJR630fKi6TZM+qbEd1qGM2nc3mnlypXk5+dz6aWXsnr16nDHEkKEjELzVWDWlQa9kXC4hHQHzF/96ld88MEHaJrGtGnTuPXWW9m+fTuLFy/G4/EwceJE5s2bB8CePXt48MEHqa+vZ/jw4SxatAibzUZpaSnz58/H6XTSv39/lixZQrduob3NhhBdmc80cbp0Grx6SObLBeOWIX15/pMiwCDBasFtmPh0xS1D+oYnUDOyvZMQXUekzp07k5D11O3atYu///3vvPvuu7z99tusWLGCvXv3snDhQl566SU2bNjAl19+ydatWwGYP38+jzzyCB988AFKqcA730WLFjFjxgw2btzIBRdcwEsvvRSqyEJ0aQqo9OgcqfFQ7wlfQQcwMiuV/x2VgyMxjhqPgSMxLuyLJObMmRP477333gts79TYJoSIJdHTO9dc0D11X331FYMHDz7tsdNtZ3LJJZfw2muvYbPZKCsrwzAMampqyM7OJisrC4BrrrmGjRs3MnDgQNxuN0OHDgUgPz+fpUuXMn36dD799FOWLVsWaJ85cybz589v8zcqhDgzj6E4fuI+rZFiZFZq2BdFNCfbOwnRNWjKjXIdx9DdrZ8cYYIu6u69994zTgZeuXLladvtdjtLly7lD3/4AxMmTODYsWOkp6cHjmdkZFBWVnZKe3p6OmVlZVRWVpKcnBy4T2Jje1s4HMltOj+c0tNTwh2hTaIpr2Q9PbfPoLLBh8urk5SSwNmUI2lpkTMdwmYJ3aIt2d5JiFinTtyztSpiF0K0Juii7vvf/z7vvfceF198cYt3oqmp3/1O+u677+ZnP/sZc+bMoaioqMVKWaUUmqZhmuZp2xs/NtfWlbZOZx1mFOx0n56eQnl5bbhjBC2a8krWU/lMkyq3Tp3HwGzHOGtaWjcqKuo7MFn7xNss4AhfkSnbOwkRnaK5d665oIu6LVu2sHHjxhZtmqaxZ8+e055fWFiI1+vl/PPPJzExkby8PDZu3IjVag2cU15eTkZGBn369KG8vDzQfvz4cTIyMkhLS6O2thbDMLBarYHzhRBnx1CKKrdOjVtvVzEnTk+2dxIi2ig0byWmJ3p755oLeqHEv/71L/bu3dvivzMVdACHDx/moYcewuv14vV62bJlCzfddBMHDx6kuLgYwzBYv349o0ePJjMzk/j4eD777DMA1q1bx+jRo7Hb7QwfPpwNGzYAsHbtWkaPHt3Ob1mIrkhR6zM4XO2myuWTgk4I0eVpyg0NRzDcFTFR0EEbeupM0+SVV15h3759PPTQQ6xcuZLZs2e36HlrbsyYMXzxxRdMnToVq9VKXl4ekydPJi0tjblz5+LxeBgzZgwTJkwAYMmSJTz00EPU1dUxePBgZs2aBcCjjz7K/fffz29+8xv69u3LL37xiw74toXoKhT1PpNqt47bZyClnBBCxFbvXHNBF3XPPfccFRUV/Otf/0IpxbZt2ygvL+ehhx4642Pmzp3L3LlzW7SNHDmSd99995RzBw0axFtvvXVKe2ZmJitWrAg2phCCZvdndet4pZgTQgggdubOnUnQw687duzgmWeeIT4+npSUFP7whz/wt7/9LZTZhBBtpIA6n8GRGjdltR48UtB1KtnORIhIpdAbyv37zsVoQQdtKOpsNhsWS9PpcXFxga1GhBDhpYAar87hGpe/mNNNKeZCxDRNfv/733PfffdRV1fH7373OwzDv7/fmbZ3EkKET+PcOeWpjLnh1pMFXZV973vfY+XKlRiGwYEDB/jjH//I97///VBmE0K0orGYq3H58BpSxnWG5lNRgKCmogghwkGheSswPdUnirnI2VMzVILuqXvwwQf56quvcDqd3HzzzTQ0NMhFTIgwaSzmSqpdHK/zSkHXiZpPRUlOTpapKEJEoKaVrbHfO9dc0D11Bw4c4Omnn27Rtn37di677LIODyUiz5YDTpbtLOFQtZt+PRJYOP57DO8l84c6m6ZBndeg0uXDo3edC1UkkakoQkQwZfrvChHonetaWr0Sff311yiluO+++3j++ecDO6brus5jjz3Gpk2bQh5ShNeWA04e2LSPOJtGzwQrx+o9zF3zJU+OzWXsAEe443UZHlNR2eCjwacj28yFz+mmogwaNCjcsYTo8mJ9ZWswWi3qVq1axd/+9jeOHTvGXXfd1fRAm43x48eHNJyIDMt2lhBn00iy+/ckTLJb8ZiKZTtLpKjrBB11Sy/RMR588EGefvrpwFSUUaNGyVQUIcLpRO+c4amGLtg711yrRd0TTzwBwAsvvMC8efNCHkhEnkPVbnomtNxkOslupaS6674b6gw+06TaY1Art/SKKMnJyadMRQnGs88+S2VlJc8880wIUgnRNWmmC+V2duneueaCnggyb948Nm7cyN69e7n99tvZsmULP/rRj0KZTUSIfj0SOFbvCfTUgX9j26weCWFMFZuUUngMkxqP9My1hVKKb5wNfH28nmG56SF9rX379rFixQqqq6tbtP/qV78642N27NjBmjVruOKKK0KaTYiuw0TzVmB4arp871xzQRd1L7/8Mn/729/49ttv+clPfsKLL75IcXExd955ZyjziQhw54gsHti0DzBItFlw6SaG0rhzRFa4o8UMBdR6dRoqXXxb45Y5c0EqqXZTUOikoNBJcZWb7J6JPDvlwpC+5j333MOoUaOC3tKpqqqKF154gTlz5rB3796QZhOiK9DMepS7AkP3hDtKxAm6qPvLX/7Cm2++yQ033EDPnj1ZvXo1N954oxR1XcDYAQ4W5/nn1pVUu8mS1a8dqt7XtJo1Lc4uBV0ryuu9bC50UlBYwd7j9S2OZabEh/z1ExISeOCBB4I+/5FHHmHevHkcPXo0hKmEiH0aOspTgeGtRS6Upxd0UWez2YiLiwt83b17d1nG34WMHeBosSgiPT2F8vLaMCaKbj5TUe8zqPPoeOXuD62qcet8VFRBwX4n/3e0tsXPK6NbHONy0xhfr/qpAAAgAElEQVSf6+DCPikhz3LJJZewdetWRo0ahdVq/c5z33zzTfr27cvIkSN55513zur1HI7kNp2fnh76n0F7SL726ar5DE81pqsCbAZ0O/sOhbS02N6AOOiqrG/fvnz88cdomobX62X58uVkZmaGMpsQMUUBLt2k1qPj8hkYppRy38XlM9hWXEVBoZOdh6vRm/28usdbuap/GuMHOhjSJwWLpgGgdUKuXr16cfvtt6OdeE2lFJqmsWfPnlPO3bBhA+Xl5UyZMoXq6moaGhp4+umnWbhwYdCv53TWYQb5dyXS32xJvvbpivk05UW5nZi+Bmjn29+0tG5UVNS3fmKYpPXq0e7nCLqoe/jhh1mwYAH//ve/GTp0KEOGDGHJkiXtDiBE7FPU+0wqXT7plWuFzzDZebiaTYVOPimuwt1sg+VEm4X/zOnJ+FwHl2R2x24N+oY4HWr16tWsXr2arKzW55S+8sorgc/feecddu3a1aaCToiuS2HxVWN4KlCmLIQIVtBFXe/evXn11VdxuVwYhkFyctuGBIToajQNGnwmVW4fLq8hxdwZGKbin9/WUlDo5KODFdR6jMAxm0VjZFYP8nIdXJ6dSoLtu4c7O0NaWho//OEPwx1DiJilKTfK7UT3ucIdJeoEXdSVl5ezZs0aqqqqWrQvWLCgw0MJEd0ULl35izmfIfN5T0MpxZ7j9RTsd7LlQAXHG3yBYxpw0Tndyct1MKZ/T7rHR9bc3aFDh3L33XeTl5fXYp5xXl7edz4uPz+f/Pz8UMcTImppmOCtwPTUdMlbfHWEoK+Wd9xxB3369AlqyEGIrknRoCuqXD7cuhRzp1NU6QpsQXK4puV2BD9I78b4XAdjc9PolRR3hmcIvy+//BKAP//5z4E2TdNaLeqEEKenaYBej+l2ogxvuONEtaCLOp/Px4svvhjKLEJEKf+cuSq3jscnw6wn+7bOw+bCCgoKnexzNrQ41j81kfEDHYzLTePc7tGxmfWKFSvCHUGImKEp/cRCiDrZpqQDBF3UDR48mG+++Ybvfe97ocwjRFTQNPAZinrdfxsvWQDRUqXLx4cHK9i838nnZXUtjvVJjmNcroO8XAe5aYmBVaTR4sknnzxtu9z/VYi2UFj0Wgx3BcrUwx0mZgRd1F100UVMnTqV9PT0FvvTbdmyJSTBhIhEmgZuXVHl8dEgt/Fqod5r8NfiSgr2O/n0SDVGsx9NaoKNsQNO7CXXOznqCrnmUlNTA5/7fD4++ugjLrnkkjAmEiK6aMpzYiFEQ+snizYJuqhbvnw5S5YsoV+/fqHMI0RE8hdzJpUuHZdPR7aY8/PoBlsPVlBQWMEnhyrxNqvkkuwWrshJY1xuGsMze2CzRG8h19xdd93V4uuf/exn3HHHHWFKI0Q0UWi+Kkx3pSyECJGgi7ru3bszadKkUGYRIiL5lElFg06DR4o5AN1U/KO0hoJCJ1uLKqnzNm1BEmfVuKxfKuNzHVyWlUq8LTx7yXWm5ORkjh07Fu4YQkQ0TblRruMYujvcUWJa0EXdpZdeyrPPPnvKMv7BgweHJJgQ4aeo9hpUNvi6/N0flFJ8eayOgsIKPjxQQYWraQsSqwbDM3swPjeN0Tk9SY6LrC1IOlrzOXVKKb766isGDBgQxkRCRDKF5q3E9FRJ71wnCPrq+9577wHwwQcfBNo0TZM5dSImeU0TZ4OPhma9UF1RYUUDBYVONhdWUFrbcguSH/ZOZsoP+zKidzJpifYwJex8zefUAVx77bVce+21YUojROSS3rnOF3RR9+GHH4YyhxARQSmo8upUNfi67CKI0hoPmw842bTfyYHKlju6D0xLZHyug3G5DvqmxEf8vRRD4eQ5dUKIk0nvXLgEXdRVVFTw7rvvUl9fj1IK0zQpLi7m+eefD2U+ITqFAup9BpUuL1696xVzFQ0+thxwUlBYwZfHWm5Bck5KPONzHYzPTWNAWlKYEobfsGHDTrtqVymFpmn84x//CEMqISKL9M6FV9BF3T333ENCQgL79+/nsssuY/v27Vx88cWhzCZESGkaeA1Fw4m95jx613pHWevR2VpUSUGhk89Ka1osAnEk2hmb69+C5Afp3aJ6C5KOsn79+nBHECKCKYyG45h1pdI7F0ZBF3WlpaVs3ryZxx57jJtuuom5c+fy3//936HMJkQIKNyGwmOYNHgN3D6zSw2zenSTvx2qoqDQyY6SqhZbkKTEWbmifxrjc9MY1rc71hjZgqSjZGZmBj7fsGED27Ztw+fzMWrUKKZOnRrGZEKEV2PvnGmzSkEXZkEXdb169QIgJyeHb775hmuvvRZdl12gRXRoHF6tcut4u9h9WXXT5NMjNRTsd/LX4koafE0X3XirhVHZ/i1ILs3qQZw19rcgaa/ly5fz7rvvct1116GU4pVXXqG0tFTe5IouSKH5KjHdjXPnuoU7UJcXdFHncDj4/e9/z9ChQ/n1r39NcnIybreMmYtI1dQj561y8W2VC18X2pbEVIp/ldWxab+Tjw5WUOVuegNm1TQuObc743Md/Gd2T7rFWcOYNPqsXbuWVatWkZycDMC0adO44YYbpKgTXYrMnYtMQRd1jz/+OH/5y18YPnw4F1xwAUuXLuXee+8NZTYh2kQBHsPErZvUeXR8hompIC3O3iUKOqUU+yoaKNjv34KkrN7b4vjQPimMz3Vw5YCepCZ0nS1IQqGxoANISUlpcetEIWKbrGwNBeWppG7vB/QccX+7nqdNPXWzZs0CYP78+cyfP79dLyxE+ym8hsJjKlxeA5fPwFCqSw2tAhyudlNQ6GRToZPiqpbvmr/fK4nxuQ7GDkijd3J8mBLGlszMTF599VVmzJgBwMqVKznnnHPCnEqI0JPeuY5nVH6FXvQWRmkBvuRzQl/U3XzzzaxateqMy/llGb/oTCYKl8/EpZu4fDq6obrkrbvK671sOVDBpv1O9h5vuU9cvx4JjDuxcjU7NTFMCWPXokWLuPfee3nuuecAGDJkCEuWLAlzKiFC6eS5c6I9lOHBKN2MXvQWZtXXgXbN1v45ia0Wdb/61a+As1vO/+KLL/L+++8DMGbMGBYsWMD27dtZvHgxHo+HiRMnMm/ePAD27NnDgw8+SH19PcOHD2fRokXYbDZKS0uZP38+TqeT/v37s2TJErp1k8mYXYkCGnwGdY29cV2xigNq3DofFVVQsN/J/x2tpflPIb2bnXEDHOQNdPA9R5JsQRJC9fX1rFixApfLhWmacj0SMU165zqO2VCKXrwGvXgd+KoD7Vr3gdhzptHrhze1+zVaLeqKi4spLi4+4/Hmy/yb2759O5988glr1qxB0zRmz57N+vXrWbJkCStWrKBv377cfvvtbN26lTFjxjB//nyefPJJhg4dysKFC1m9ejUzZsxg0aJFzJgxg8mTJ7Ns2TJeeuklGfqNYZoGpgKfYeI1FW7dpN6jo3fRQs7lM9hWXMXmQid/P1zd4ufQPd7Klf3TyBvoYEifFCxSyHWK//qv/yIrK4sbbriBCRMmhDuOECEivXMdQSkTs3yXf4i17G/AiZ+lZsXa90psOdOxpA1B0zQs9oR2v16rRd3jjz8OgMvlorS0lIEDB2Kz2fjmm2/Izc1l3bp1p31ceno6999/P3FxcQDk5uZSVFREdnY2WVlZAFxzzTVs3LiRgQMH4na7GTp0KAD5+fksXbqU6dOn8+mnn7Js2bJA+8yZM6WoiykKn6nwGP4Czq2b6Ibpv2tJ16zj8Bkmuw5Xs6nQybbiKtzNNkVOtFn4z+yejB/o4JLM7thlC5JO9/HHH7Nt2zbWrFnDz3/+c/Ly8rjhhhsYNGhQuKMJ0SGkd679lK8OveQv6EVvoeoPBdq1hHRs2VOx9ZuKltCrw1+31aLuvffeA/x3lHjuuee46KKLAPjqq6/47W9/e8bHnXfeeYHPi4qKeP/995k5cybp6emB9oyMDMrKyjh27FiL9vT0dMrKyqisrCQ5OTmwsqyxXUSvxrs4eE3TPzeuC8+La85Uin8ereWvuw6zcW8ZNR4jcMxm0bg0qwfjcx2M6pdKol22IAkni8XCmDFjGDNmDIWFhTzwwAOsWrWKPXv2hDuaEO0kvXPtZdYUohe9hX74fTCa7p1tcVyELWca1j5j0CyhWy0f9DMfPHgwUNABDB48+DuHZRvt27eP22+/nQULFmC1WikqKgoca7xnommaLeYANbY3fmyurXOFHI7k1k+KEOnpKeGO0CbflVcphUc38RomPt2/tYihFG6fgc+qUBYLVhskJ8Z1Sta0tMib96SU4quyOtZ/Xcb7e45RVucJHNOAEdmpTD6/N3nfT6dHBG9BEkk/W1sn3AVD13U+/PBD3nnnHb744gsmTZrEE088EfLXFSKUpHfu7ClTx/h2K/rBNzEr/q/pgDUB27mTsOVMw9I9t1OyBF3UJSQk8M477zBlyhSUUrz55pt07979Ox/z2Wefcffdd7Nw4UImT57Mrl27KC8vDxwvLy8nIyODPn36tGg/fvw4GRkZpKWlUVtbi2EYWK3WwPlt4XTWYUZBN1B6egrl5bXhjhG00+X198KZ1PlM6jy+iOmBS0vrRkVFfesndpLiKhcFhU4K9jspqfG0OPbDvilcmd2Tsblp9EryF7xGg5eKBu/pnirsIu1nG2+zgCO0ReaoUaM477zzmDZtGkuXLg1MMfkuv/rVr/jggw/QNI1p06Zx6623hjSjEMGT3rmzpdxO9ENr0IvXotxNNYzWrR+2nGnYsiaj2Tu3Yynoou7pp5/m3nvv5eGHHwb8PXXPP//8Gc8/evQod955Jy+88AIjR44E/Ev/Dx48SHFxMeeeey7r16/n+uuvJzMzk/j4eD777DMuvvhi1q1bx+jRo7Hb7QwfPpwNGzZwzTXXsHbtWkaPHt3Ob1m0lc9s7GkDhb9QszZ4qfb671KgFPh0E49h4jNUl7qXarDK6jyBLUi+cTa0ONY/NdG/BclABz/McURUkSRO9cYbb5CTk3PaY8888wz3399yn6ldu3bx97//nXfffRdd15k0aRJjxoxhwIABnZBWiDOT3rm2U0phVnzuX/hw9CNQjXfrsWDtfTm2/tOx9PoPNC08852DLupyc3NZs2YNVVVVAKSmpgaOne5Ctnz5cjweD88880yg7aabbuKZZ55h7ty5eDwexowZE1g9tmTJEh566CHq6uoYPHhwYKPjRx99lPvvv5/f/OY39O3bl1/84hdn/912AY0FWHwbJ9A3rjrVTROf6b8zg8dn4tVPbOgLLTb11e02Kuois/coUlS5fXx0oJJNhU4+/7Zlr2bv5DjG5zoYn+tgYFqibEESRc5U0AHs3LnzlLZLLrmE1157DZvNRllZGYZhkJSUFMKEQrRGeufaSukujCMf4Ct6C1Wzr+mAvQe27CnYsvOxJPUNX8ATNKXa361y3XXXsWbNmo7I0+EOHq3GZ5hoQJxVw2rRsKChaf55S1bN/zm0LFoa28wTvVPNacr/4JOn7ygFZ/phnu5Xtv8Xuf8RvXqlcPx468Ovja+hm/4eMUP5hzy9uolb9+/hpgC7VSM5zobdakE78VoKhWH6e9oaV5eapv85dGWiG/67MQTT0xZpw27fpTOz1nsNthVXUlDoZNfhGoxmP8vUBBtjB/g3Bb6gd/JptyCJpp8rRF7eeJuFYbnprZ8YIlOnTmXt2rWnPbZ06VL+8Ic/MGHCBBYvXiyFvAgL0+fCcJWDIb1zwdBrDlH37zeo378W5a0JtNsdF5A86GaS+k9As3bQ3XosNuw92teD3yFLMDqgLgyZapcPt69pJaG/mNMCn4N/crXVomHRNCz4hxl10wwUSGeiARYLgUUdRhvf8DS/pFehUVXlOqX4O/m63/gaqrHYPEMh6dUVFbqvbYHEWfEaJjtKqinY7+STQ5V4jaY/kSS7hdHZPckb6GB4ZndsFtmCJJZ9V6F2991387Of/Yw5c+awevVqbrzxxqCesy3zgiN9bq7ka5/25Qt971ykvck7WbD5lDIwj+3Ad/AtzPIdTQcscVjPGedfxdpzMB7AU60D+pmeqm35evVo93N0SFEXTe84VfOetxMf2nWHArPZE7WDqUA3Irc4Fi0ZpuIfR2so2O/k46JK6rxNbxzirBojs1IZn+vg8n6p/sn7ossqLCzE6/Vy/vnnk5iYSF5eHv/+97/DHUt0IZpyo9xODJ+r9ZO7MOWtRj/0LnrxO6iG0kC7ltgHW3Y+tn7XosX3DGPC1oVusxQhYoxSiq+O1VNQ6GTLgQoqXE09oRYNLj6nO3kDHYzJ6UlynPzTEn6HDx9m6dKlrFq1CoAtW7Zw/fXXhzmV6Bpk7lwwzKq9+IrexDhSAGbTjgSWXpdg6z8Na+9RaFp07A8qv3mEaEVhRQMFhU42F1ZQWttyC5ILeyczPtfBVf3TSEuK3L3kROc43VSUMWPG8MUXXzB16lSsVit5eXlMnjw5DOlEVyIrW7+bMrwYRz9EL3oLs/JfTQds3bBlTcaWfT2WlJyw5TtbMT+nToizcbTW499LrtBJYUXLIYvctMTAytW+KR00QVZEFa/Xi8vlanHtS01N5YEHHjjt+XPnzmXu3LmdFU90YRo6yluJ4akF6Z07hekqQy/27y2HtzLQrqXk+veWO3cCmi16V6e3qahr64VMiGhS0eBjywEnBYUVfHmsrsWxc1LiTxRyaQxIi95/8KL9Vq1axeLFi/H5/MPvjXe+2bNnDyNGjAhzOtF1KSx6HYbbiTI7ZuJ+rFBKYTo/w/n5GtwlH4E6MQdas2LtMwZbznQsjmFRtT7gTIIu6uRCJmJRnVfn44P+LUg+K61pcQeMtER7YAuSwRndYuIfvGi/5cuXs2rVKgYPHhzuKEIAoCmv/+4GvgY6YuFerFB6Pfrh99EPvomqK2o6EJ+Grd9UbNlTsST2Dlu+UAi6qJMLmYgVHt3kb4eqKCh0sqOkqsUWJMlxVq7I6cn4gQ4u6tsdayfcS1REl169esl1UEQMi14rvXMnMWsPohe9hX54A+hNd/CJyxgG5+Zj7XslmiU250AHXdTJhUxEM9002X2khk37nfy1uJIGX9Nck3irhVHZ/i1ILs3qQVwb78YhupZRo0bxpz/9ibFjxxIf3zSnsvlddoQIPYXmdaJ7qlvunN9FKVPHKNvmX/hwfHfTAUs81nOvxp4znV79h0X0PnodIeiiTi5kotGOkipWb/yG4soGzkmJ55YhfRmZFXl/D0yl+LKsjr/uPsKGPWVUuZveyVo1jUvO7c74XAf/md2TbnHRsVxdhN/LL7+M1+vl8ccfD7Q1TkURojPIytYmylPh31uu6G2U+1igXUs6F1vO9diyfoQW1z2MCTtX0EWdXMgE+Au65z8pIiHOSo94K06Xl+c/KeJ/R+VERGGnlGJ/hevEFiROvj3p/rRD+6QwPtfBlQN6kpoQm93vIrS++OKLcEcQXZRSCouvCsNd0aX3nVNKYVZ9iX7wLYyjW8Bs3DNUw5JxGfb+07Gkj0DTut6oS9BFnVzIBMDKz49it2kk2q0YhkmizQoYrPz8aFiLusM1bgr2+/eSO1jVcguSH/RO5qqcnowdkEbvZNmCRLSPaZosX76cv/71r+i6zuWXX86cOXOw2WTbTxE6mvKg11aiu5zhjhI2ynBjHCnAV/QmqrrZXVns3bH1u8a/t1y3zPAFbMZXth2j8HXMhlIsSedgzZ2JvfdlIX/doK9CciETAKW1HqwaFFU04DFM7FYLaQk2jp60KW9nON7gZUthBQWFTr4ubzlPIqt7POMH+veSGzagV8zPozgbO0qqWPn5UUprPRE9jB5pnn/+efbu3ctPfvITTNPkz3/+M88++ywPPvhguKOJWKRMNL0a010J9sRwpwkLs/4IevHb6IfeA19NoF3r/n3s/adhPScPzZYQxoQt+cq24/vy56DZwd4d030c88ufA/NDXtgFXZHJhUwAdLNbKapyYbVoWDUN3TD5ts5LTmrnXGxqPDofH6ygoLCCf5TWtFi83yvJzrgTe8kN6iVbkHyXxmF0u02LyGH0SLZt2zbefvtt7Hb/8P0VV1zBtddeG+ZUItZoGmh6HYa7AtPwtv6AGKOUiVm+E9/BNzGPbSewVYtmw3rOOGw507D0vCAir/NG4eug2dFsJ34v2hJRur89Yoo6uZAJAHXiH5Z/sZU6pT0UXD6DT05sQfL3kmr0ZpvJpcRbubK/fy+5oX1SZAuSIAWG0W3+BSKRMoweDZRSgesgQFxcXIuvhWgv/0KICgyfi66275zy1qCX/AW9+C1U/eFAu5aQji37emzZ16LFO8KYsHVmQynYT1qcYU3wt4dY0EWdXMgEQIPPpE83O1UeA4+uiLNZ6BlvxeXr2Em7PsNk1+FqCgor2FZciUtvev4Em4X/zE4lL9fBJef2wC5bkLRZ4zB6cb0bX5iH0aPNoEGDePrpp5k5cyaapvH666/zve99L9yxRAzQlA/lrcDw1ne5W3yZ1d/gK3oL4/BGMJuuQxbHxdhypmHtMxrNEh3TvSxJ52C6j4Ot2QiW4caSdE7IXzvon5BcyAT4b5fldHnJ6RaPYfgvOi7dwJEY1+7nNpXin0drKSh08tHBCmo8RuCYzaJx6bk9GD/Qwah+qSTaZQuS9mgcRrdohGUYPZo9+uijPPHEE9x0000opbj88st5+OGHwx1LRDENE7yVmN5qlNl1ijll+jCOfoR+8E3MymaLMa1J2LIm+odYUwaEL+BZsubOxPzy5ygdsCaA4Qblw5o7M+SvHXRRJxcyAXDLkL48/0kRLouBXQO3YeLTFbcM6XtWz6eU4t/HG9hU6GTLASfl9b7AMQ0Y1jeFvIEOrshJo3tCdLxLiwbNh8ub38s5lMPosSI5OZlnn32Ww4cPYxgG2dnZ4Y4kopR/3lw9hvs4yvC1/oAYYbqOoR9ai168FjxNq3m15BxsOdOwnTsRzZ4cxoTt4583Nz+yV7/KhUwAjMxK5X9H5bD6q2Mcqmyg71mumiyqcrG50EnBficlNS2H/M5P70ZeroOrBqSR3q39PYDiVI3D6JUeA69uhmwYPRYVFRVx5513cuzYMZRSpKam8rvf/Y7c3NxwRxNRRENHuZwYvroucUcIpRSm8//Qi97C+PZjUI0jMRasfUb7e+V6DY/IhQ9nw977sk4p4k4WdFEnFzLRaGRWKpOHZLZ5m5CyOg+bT2xB8o2zocWx7NQE8nL9W5Cc2yNylqbHqsZh9H7NNmDuqGH0WPfEE08we/ZsrrvuOgDefvttFi1axGuvvRbmZCIaNK1qdXaJ3jmlN6Af3ohe9BaqtrDpQFxPbP2mYMu+DktSn/AFjDFBF3VyIRNno8rt46MDlWwqdPL5t7UtjvVOjmPcAAfjB6ZxXlpSzLxDiwaNw+hgkGC1tHsYvStxOp2B6yDA9ddfzx//+MfwBRJRQ8NAuZ0Y3tqY750z6w6hF72FXrIe9KYOAEvPC/wLH/qORbPKm8iOFnRRJxcyEax6r8G24koKCp3sOlyD0ezilZpg46oB/i1ILuydjEUKubBoHEZf+flRjtZ6znoYvSsyDIOqqqrAfa8rKirCnMjPd2QzR7f+Bk/lASzJ/bCdPxd75rhwxxInaEY9ZozPnVOmgf7tX/0LH47vajpgicOaOR5bznSsqeeHL2AXEHRRF6kXMhEZvIbJjpJqNhc6+aS4Co/RNDcryW5hTE5Pxuc6GJ7ZHZtFtiCJBCOzUqWIOwszZ87kxhtvZOLEiWiaxoYNG/jJT34S1ky+I5vx7l6A1Z4AcamYrjK8uxcAz0lhF2Yahn+bEk9NzPbOKU8V+qF1fFuyFqO+aS82LbEvtpzrsWVdgxYv15rOEHRRF4kXMhFehqn4v6M1FBRW8NHBCuq8TVuQxFk1LstKZVyug8v7pRJvk0JOxIYbb7yRbt26sWnTJgBmzZrFJZdcEtZM+p5fgyUOi70bpm6ALQml+9ulqAsfzWzAdB1HxegdIYyqr9EPvoVRWgBm0/doSb8Ue//pWDJGommy/VRnCrqoi8QLmeh8Sim+Lq9n2z9K+cvXZThdTUMJFg0uPqc7eQMdjMnpSXKcbEEiYs8zzzzD66+/TnKyf8uFXbt28eKLL7Jjx46wZTLrDkHcST0h1kR/uwgDE7zOmOydU4YHo3QLetFbmFVfNR2wJZP8vXz03tdgSe4XvoBdXNC/dSPxQiY6z4GKBgpOrFwtPemuAxdkJJM30MFV/dNIS5K7jIjYtmnTJrZt20bPnj3DHSXAktwP01UG9pSmRsMlv1w7maYBRj3KXYGpx9bdWcyGo+jF76Afehe8VYF2rftA7DnTsWZeTWpGrzbviiA6VtBFXSReyERoHa31UFDoZHOhk/0VrhbHEu0WrJpGdo8Ebr3oHJmbJQI0DTSaL4A5saWxAjROWRyjlP+MaOnQyMnJoXv37q2feMKLL77I+++/D8CYMWNYsGBBh2eynT8X7+4FmL56FPFguMD0Yjt/boe/ljg9TekoTwVmDK1sVUphHt/lH2It+wQ4MVdas2LteyW2nOlY0obIzgURJOiirq0XMhGdKlw+Pjzg75H7V1ldi2PnpMRzfno3Pj1Sjdcwcekm+yoaeGrrAR4cM0AKuwiiBf53antjgXU2v3YaCzZNA6sFEm0WusfbsFk1rBYNm8USuPVYE4Wh/K+pWcCmaVg1DX+TwjDBUAqzWXHXmE0pf0FoKv/nhuF/LkMp/y8cpVp8PxZL6H+5/PjHP2bmzJmMGDECm63pEnrXXXedcu727dv55JNPWLNmDZqmMXv2bAoKChg/fnyHZvLPm3sObf9vMGT1aydTWBr3nTP1cIfpEMpXh354A/rBt1D1xYF2Lb4XtpzrsPWbipbQK4wJxZkEXdS15UImokudV2drUSUF+518Vlrj/wV8QlqinasGpJGX62BwRjdmvf0l9V7jxC9wDZu1jM8AACAASURBVFMpqt06L+0skaKuE2icKKw0f1+Y1WohwWYh7kRRhWo6dnJh19jWWCQZzYoiUwGNn5tNxZTVomGxaFg1WhRsNk3DYoFePZMo1w2+m8bpBuX9efzPYz9dBfpdz3jK6f6/i1onrMd5+eWXSU5Opra2ttVz09PTuf/++4mL8+/HlZubS2lpaSuPOjv2zHGkD72O8vLWc4mOoSkvyn0c3efi7N4mRRazptC/t9zh9/29vSdY0oZh6z8da58xaBaZKx3Jgv7TacuFTEQ+j26yvaSKgv1OtpdU4W1WySXHWQNbkFx0TndszXo/DlW7sOAfQlNK+YfSlOJQtes0ryJOR8Pfo9Q4QtNYoNhOFMo2S2NPmAW7RWvWC6ZhRfMXVhZ/b9eJH/9Z2XLAybKdJZRUu8lJTeCOEVlc1d8R9OPDOcJ06msr/8+1jcXh2XC5XKxatSqoc88777zA50VFRbz//vtBP1ZEMoXmq8J0V6JUdN9aT5k6xrdb/QsfnP9oOmBNwHbuRGw512Ppft6Zn0BElKCLurZcyERk0k3F7iPVFBQ62VpUSUOz+3zGWTVG9evJ+Nw0Ls36ri1INNDUKU2nHesTgL9os2j+oiwpzkqizYrd6v95KUWg90vToJejG92b/ZJorXBqT0H3wKZ9xNk0UhOsHK3zcP8H+1icB2MHBF/YdUX9+/dn7969DBo0KOjH7Nu3j9tvv50FCxaQk5PTptdzONp2Y/P09JTWTwqjaM9n+lwYrnKwuSExsZNSNUlL69Yhz2O4jlP/zVvUf/MmRkNZoN3WPYdu37+RbgOnYIlr+5SrjsoXKpGer72CLurO5kImws9Uii/L6igodLLlQAVV7qY5H1YNLjm3B+NyHYzO7km3uNb3E8rqEU9xlRtMhUbT0F12anwIv4voYDlRmNmtFuKtFmxWDbvV36MWd+LjKUVYs1q48Vhn9IAt21mC1zBwukw8ukm8zUJKnIVlO0ukqGvF0aNHmTZtGpmZmYFhVYD33nvvtOd/9tln3H333SxcuJDJkye3+fWczjpMM7i/FOnpKf+/vXuPj6o+Ez/+ObeZySSBkJhwDQSCoMUqCspNYVGuQkQU1PXaWlfrpba2iqh0qSLWRarWimJrV3ar/gQRFahSQMV2RSlaQWkREQh3Qkgg95nMmfP9/THJJAESEjLJTCbP+yUvM+fMnPPMyZnvPPleY7r5ta3HpwWORrV2LjU1sVmjS5VSOIWbsXOXEjz4Eajq7wMNo/PFmFnT0NMvIqDpHCsFaNq5mhtfS4v5+M7o2OxjNDqpa2pBJqJHKcV3hRWs2VHAmh0F5JXWnfjyvC7JjM1OZXTvVDolNG0KkruH9OTxdTupsIPYwVAzYJLL4O4h8T91Qu1BAqah49JDzaKGruEydCwdLF2vt0k0lgbEbTtSRrHfDvXL0yAQdCiocAgcid0CL1b8/Oc/b/RzDx48yN13380zzzzDsGHDWjAq0ZKq+84FA+XRDuW0KNtHcP9fCOS+iSreXrPD6ojZ8wrMrKvQvd2iF6CImEYndU0pyER07Cv2sea7AtbuKGTXsbp93M5M8zIuO43LslPpknT6tWrDMlOY9W99WPLPw+w5Wh63a4ZW91vzmAZuS8eqGiRg6qFBAg31ZYul5K0+gWBo9KhRtWSbBtiOQyDYBoKPsqZMuv7HP/4Rv9/Pk08+Gd523XXX8e///u8tEZqIOIUeKCLoL0Q5ba/vnFO2Fzt3GfbeFRCoqYHUO56N2XsaRrexaIa0ssSTRid1p7t6RGlpKddddx0LFy6kR48erF+/nl//+tf4/X4mTpzIfffdB8DWrVt55JFHKCsrY/DgwTz66KOYpsmBAwd44IEHKCgooHfv3syfP5/ExPhuE2+KI+WVfFA1KfC/8uvWsvTo4GZsdhpj+6aRlRK5vh/DMlOYdF73mK7GbqpwvzdDJ9Fl4LV03A2sUdsWEreGuAyN8kCoeV7XQiNHq7eLyJk1axazZs2KdhjiNGhOBcpXgG37oh1KkygVxDn8KYHcpTiHay0OoFsY3cZgZk3H6DQgegGKFtWiY5M3b97MrFmzyM3NBcDn8/Hwww/zpz/9ia5du3LHHXfw8ccfM2rUKB544AEef/xxBg4cyMMPP8ySJUu4/vrrefTRR7n++uuZNGkSCxYs4IUXXuCBBx5oybBjXrHfZt2uQtbsKOQfB4rrDKQ/w2txWZ9UxvVN46wzEmVSyAZoGrgMnUS3idfUw/3f2nrC1hj9zkhk19EKivw2gaCDZeh0dJv07tT6Hb+FiCUaoUmEg21sEmFVWYS9dwV27jJU+f7wdi2hC2avqZg9p6C5ZfGAeNeiSd2SJUuYPXt2eAb1r776il69epGZmQlATk4Oq1atom/fvvh8PgYOHAjAVVddxXPPPcf06dPZuHEjCxYsCG+/8cYb22VS57OD/N/uY6zeUcBne4uwa3WcTnYbjO6dytjsNAZ2SQ7NVyZOEJrjLTR4IVQbZ+I+rmaqDZXhzXL3kEweWr2dbskuEkydCtuh0lbcPSQz2qEJESWKoO8oTum+NjWJsFO0jUDuUoL7/gJOzdJk+hkXYWZNw+g8QuaWa0da9Dc9d+7cOo8PHz5Menp6+HFGRgZ5eXknbE9PTycvL4+jR4+SlJQUnuy4entTdOyYgLeRI8ei7fih1oGgwye5hfz5X4f5YPsRygM1k7wmWDqX9j2DSd/rzMW9U3EZrTDr6nHawtBwXQO3YXBm9xRclo7LCP2L5RrM1pjy4br0ZDp2SGD+uh3sOlpO705e7v+3bCae3bnJx4r1KSqEOJXQEl9HcEzVJhI6FawkePAj7Nw3cY5+XbPDTMTMnBQaxZrUK3oBiqhp1fTdcZw6X6ZKKTRNq3d79f9ra+qXcVFRBb7AqWa8j77qodaOUmw+VMKa7wr4cFchxf6a2E1dY2jVFCSX9EohwQpNQVIahYl/Y3VoeO3BDW5Dx21odDkjifz8EnwVEOu9Y1pzyofBZ3h5Y9r362xr6rljbYoKXdeaPK+baN/0YBnBivyqZC62/1C1yw5S+c3r2Lvfgcqj4e1aUm/M3tMxe0xAM2P7PYiW1apJXZcuXcjPzw8/zs/PJyMj44TtR44cISMjg9TUVEpKSggGgxiGEX5+vFFK8c9DJbz15T7W7ijkcFnNFCQacH7XZMb2TWN0ViodPFKNXpumhdYSTXAZeC2DBEtvN/3ihBDNEVoVwvYVxnS/C6UUTsEX2Lve5FDe30BV/aGvGRhdRoVq5dIuiOnWh/YokLee4I5XccoPoHu7YWTfiNV5eIuft1UzhPPOO49du3axe/duevTowcqVK7n66qvp3r07brebL774gkGDBvHuu+8ycuRILMti8ODBvPfee+Tk5PDOO+8wcuTI1gy5Re05VsGaqpGre4rq1iGdnZ7I2Ow0LuuTSnqiq54jtE961QS/iVWJnMuouzhUDJfPQogYEGpuLQgNhohRyi7D3vsedu5SVGluzQ53KmbPKzF7XYme0PTuEqLlBfLWE9jyFGgWWB1wfEdwtjwFPNDiiV2rJnVut5snn3ySn/zkJ/j9fkaNGsWECRMAmD9/PrNmzaK0tJQBAwZw8803AzB79mxmzpzJiy++SNeuXXn66adbM+SIO1xaydqdoUmBtx2pO5FlrxQP47LTGJOdRmZHT5QijF2mrpHkNkl0GXiM8JL1QgjRSE5ozVZ/EcqJzW45Tsku7Nyl2PveA7vmO0LvdC4p59xIRYfhaHrTJo0XrSu441XQLDSzajYBMwFlh7bHRVL34Ycfhn8eNmwYy5cvP+E5Z511FkuXLj1he/fu3fnTn/7UovG1tCJfgI92HWX1dwVsPlRSZwqSzokuxmSnMu2CHmSYmlShH0fXNBIsgyR3aO641liwXQgRf3S7hKC/ECcYiHYoJ1COTTDvb9i5S3GOfF6zQ3dj9BiPlTUNvWN/vKmJ+GKwL7Ooyyk/ANZx6+YantD2FiYdtFpIeSDI33aHErm/7ysmWKtNMMVjhqcgObdLErqmxezAg2ioTuQS3QYeQ8dlSB85IUTTaRpgl6H8R2NyEmHlL8Tesxw79y2U73B4u+btgZl1NWbmJDRX89cDFa1L93bD8R0Bs9a8n0FfqyzFJkldBFUGHT7bW8SaHQX83+5j+IM1y8p4LZ1LenViXN80LuzeAbOB1QraK12DRLdJisfEbeitusC9ECK+aMqHqjiKEygHYqcQUUrhHNuCvWspwYMfgFNdc6ihZwwL1cplDEPT5DuirTKyb8TZ8hTKBgwPBH2gAhjZN7b4uSWpa6ago/jyYDFrdhSyblchJZU1/TQsXWN4zxTGZqcxomcKblM+pMfTNQ23qeN1hUaueqqSOUnkhBCnQ1MBVOVRgpWloGJnvVYV9BHcvybUxFr0Tc0OqwNm5mTMrKvRE3tEL0ARMaF+cw/E/+jXeKGUYmt+Gat3FPDBjkIKKmr6aOgaDOrWgbHZaYzK6kSyWy7xyWgaeF0mnRLMcCIHkswJIU6XQg8UEfQfjalBEE75Aezct7D3LIdAcXi71qE/Vu9pGN3GoZkyMC7eWJ2Ht0oSdzzJOJpg19EKVn9XwNqdBewv9tfZNyCjZgqSNK9MQVIfTQOPaZCSYJFoSa2cEKL5NFWJ8h3BDpSf+smtQCkHJ38DgdylOHmfEG7+1UyMbpdiZl2D3ukcGRgnIk6SulM4WOJnzY4C1u4o4LvCuis39O6UUDUFSSrdO8hfWg3RNEiwDFI8FglmaDoSSeaEEM2haaAFign6CmNieS9VWYy998/Yu5eiyvaFt2uedMxeUzF7XYnmTotihCLeSVJ3EoUVAT7aWcjqHQV8nVdaZ1/XJBdj+6YxNjuN7FRvlCJsO/SqZtYUj4nH1CWRE0JEhKZslO8Iwcoyoj0Qwin6lkDuUoL7/xLqFF9FT7sAM2s6RpeRaLp83YqWJ3dZlbLKIB/nFrJmRyGf7y8iWKuM6JRgclmfNMZlpzEgI1GqzBvB0DWS3SbJbiM8klUSOiFEc2kaaHYpwYojUa2dU06A4MF12Llv4hRurtlheDEzJ4aW70ruE7X4RPvUrpM6v+3w6d5jrN5RwPo9x6islckluQxGZXVibHYaF3TrgKlLItcYGpDoMUlLsDCrkl9J5oQQkaARRPkKCPpLiFbtnOPLx979Dvbut8FfUBNbUhZm1jTMHhPRrKSoxCZEu0vqbEfxxYFi1uwo4ONdRykL1IySchkaF/fsxNjsVIZmyhQkTaFp4DJ0OiVYJLkMSeSEEBGlOWU4FUdQUVgRQimFU7gJO3cpwYMfgar+3tAxulyCmTUd/YzB0oojoq5dJHVKKbYcLmX1dwV8uKuQoxU1VfaGBhf16MiY7DRG9upEosuIYqRtj65pJHtMkl0GbkMGQAghIkw5aIFCgv6iVq/2V3YF9r73Qys+lHxXs8PVCbPnFMxeU9G9XVo1JiEaEvdJ3aubD/D65oMcKq2ss/28zkmM6ZvGpb1T6ZQgiyM3lQYkuUPzzLlkdQwhRAsIrQpxhGArL/HllO7Bzl2KvffPYNcMltNTBmD2no7R9TI0Q6auErEn7pO6t/51OJzQnZnmZVx2Gpdlp9IlyR3lyNoeDbBMjSSXSfcOHso1JbVybdgHOwtYsGEve4p89Ozo4e4hmVzWR6ZbELGgaiJhXyGqlVaFUCpIxZ6P8G15FSd/Q80O3YXRfWxoFGvK2a0SixCnK+6Tuq5JLi6tGvCQ1Snh1C8QJ+UyNToluEiyDD7aVcCdK7/huyNlkgy0UR/sLOCh1dtDv1ePweEyPw+t3s6vxyG/yzgW2L8We+vvcEr3oCf1xDz7J1jdx0Q7rDo0FaiaSLisVc6n/Mew9y7Hzl1GRcXBmjgSumJmXY2ZmYPmTmmVWIRorrhP6hZMPhu/HTvr/7Ulhq6RYBkkugwSLQONmmQgwW1IMtCGLdiwF5ep4bVCfUhD/w+yYMNe+T22gNLSUq677joWLlxIjx7RWd8zsH8tlZ/PAN0FrhScirzQY+bFSGKn0O2SVptIOHhsK/auNwkeWANOTfccPX0oZtY0jM7D0TTpYy3alrhP6mQ0UtPoWiiRS/YYJJg6OnWvX3UykOgyse2gJANt1J4iH508db+wEkydvUWt23epPdi8eTOzZs0iNzc3qnHYW38HugvNrJo03fSi7ND2aCd1mvKhfEdbvHZOBf0ED3yAnbsU59g/a3aYSZiZk0kbeBMl9hktGoMQLSnukzrROKZeM4rVZdS/8oMkA/GhZ0cPOwvLKKl08NsOblMn2aXTJzUx2qHFnSVLljB79mxmzJgR1Tic0j3gOq4Z0UgIbY8STdmoykKcytIW7TvnlB/E3r0Me89yqDxWc/4OfbGypmF0n4BmJmB1SITC1mn2FaIlSFLXjumahsfSSXKbJFo1tXINDX7o2dHD4TI/Vq0BwxW2Q2ZHWfu2LRnRsyOf7T2GroGhafjtIBWBIDcN7Bjt0OLO3Llzm/X6tLSmTWSbnp580u12pz7YZQfRzZrE3QmUYXbqU+9rWkJ6enJo3jf/MRxfIVhBSIx8f2elFP6Dn1H6zf/Dt28dVCeNmklCrzEknfXvuDIuOKE1JzXG/7CR+Jon1uNrLknq2hlNA49pkOQ2SDANXEbT5pW7e0gmD63eTlmljUsLJXSVtuLuIZktF7SIuE/2FNE5yU2R3yYQdHCZBh3dJp/sKeIXI6IdnaitoKAUx2nchzQ9PZn8/JKT7lN97yT4+QyCQQeMBAhWgFOJ0ffOel8TaenpyRw5nI/yFeIEylvkHCpQir3vvdDccqW5NTvcaVi9rsLoNQXNk04ZUHa0bgypqYkUxnBNncTXPDEf3xnN/6Nakrp2QgM8lkFqgkWCVdO82tiErvb0F8kuA1PXOFZhkymjX9ukPUU+zvCapCfWVLkqpaQZPY6F+s3Ni9roVw0buywPp/RQizS1OiU7sXctxd73XihhraKnDgwNfOj6b2i6zEkq4pskdXFOA1ymTkqCRZKlczorPhw//UWF7eALajw57kxJ5tqo6mb06tGvIM3o7YHVfUxUBkXowTKCFfko0x3RhE45NsFDf8XOfROn4B81OwwPZvcJmL2noXc4M2LnEyLWSVIXp6pr5lISLLzNXMP2ZNNf+B0lI17bsOpmdAiSYOrSjC5ahnIgUIDtL65qFojMpO/KV4C95x3s3W+jfPnh7VpiJmbWNMzMSWhW6/UTFCJWSFIXh9yWQSdPaPADNH9Kl5ONePVahjTVtWGX9Unj1+NCCfveIp80o7eCDz/8MNohtBpNA4Jlob5ztj8ix1RK4Rz9Cjt3KcEDH4KqnstOQ+88AitrOnr6RWiaLFso2hBNQ0MLfWgiMC+iJHVxxNA1OnktOrjMCKRyNU7WVFceCEpTXRt3WZ80SeJERGmOH80J4NhlOIHSxnfabYCyfQQPrCaw601U8bc1O6wOmD2nYGZdhe7t1uzzCNF0WtV/VUlZvU/TQxNZawboBppuoukmCgM0HbTQz1YHGSghCN1LXpdJWoKJpUf+r9STNdUFlSZNdW3cbz7ZxUsb91NaaZPkMrnjwu78YkTvaIcl2hiNIJpdStBfhOMEIpLIAThl+7Bz38LeuxICxeHtesezMHtfg9HtMjRD/rAULaR2DRoammGBZoJuoOsmYKJ0HaoSs3CCduJhwsIDFKv+tQRJ6towTYMEy6CTp+6I1kg7WVPdw2P7MfgMb8ucULS433yyi998shtdA0vXKA/Y/OaT3QCS2IlG0VQlBEpwKksitqyXUg7O4U8J5L6Jc/gzwl99uoXRbQxm1nSMTgMici7RjtVp8tRDo6J1AzQzlLBpBkoLPVaaEW7Sr/6ObcpQn5b6Xq6PJHVtlMvQSPW6SHIZKNXyN87xTXUNzYclYt9LG/eja2BW1eyamobtOLy0cb8kdaJemgY4PpS/CCdQFrGRrKqyCHvvCuzcZajy/TXn83TGzLoKs+cVaO7UiJxLxLPjmkM1I5ywaZqJntABI7FDTZOnZoYnn24oYWvtxKw5JKlrYzQNOngsOnlMDK3p05MIAVBaaWPpdfuAGJpGaWXLL6Qu2iKF5lSgKotxAmWRa2It2kZg15sE968Gp2ZAhX7GRaG55TqPQNPla0oAVYlaKAfTqpK1UK2aZphomonSqppDdROFiabVbfI0PMkoo25lRLx9h8qnpQ1xmzppXhcJzZyiRIgkl0l5wMas1eEjqBRJLikSREioVi6AFqzAqSwmGPRHZuCDEyB44EPs3KU4R7+q2WF6MTMnY/a6Gj05q9nnEdGi1Zp0Qav9I9QewqeFZmfQdKNqu1ZVg0b4Zw09tD/cHGpUNYeGBu2dqo9avCVsjSEleBugaxopCSYpHiuio1pF+3XHhd35zSe7sR0HQ9MIKoWjQttF+6WpAKjK0AjWQAXKrohYE6tTkUfRP1ZSse1NqDxac86k3pi9p2H2mIhmxve6nG1f7doyvdbggVBfNN3bAaOyIvQ89PAgAzQNVb0N7aQDRU+WgEmy1nSS1MWw6gmE0xJduHVJ50TkVPebk9GvItxPrrKqn5wTubF5Simcgi+wd71JMO9v+FSw6qQGRpeRmFnT0NMGhfs1iWiq2x9N003QrVrNm1aoeTM8eKBubZkDGO5kVCO+qyQpazmS1MUol6mRmuCK2ATCQhzvFyN6SxLXrin0YDlOZTGOXRFa/SFSR7bLsPe9j71rKap0V3i77klFz5yC2WsqekLniJ1P1OO4iW2r+6FV90Gr9cRa/dGMk/ZHOz4Pk8QsNklSB3y69xivbT7IgRI/3ZLd3HBeV4ZlpkQlFpep0dFjkWyZDc5lKIQQTaURRAv6cOxylF2OHbSJ5IxZTsmu0Nxy+/4Mdnl4u97pXMysaaQPmMzRokDEzteu1UrYtKoatepRnppx3MS2VaM8mzJPmiRtbVObSOpWrFjBiy++iG3b3HLLLdxwww0RO/ane4/x+LqdlAeCBB3F0YoAj6/byax/69OqiZ2la2Qku0kyDUnmhBARE25eDZTgVJZFbE65asqxCeb9X2jgw5GNNTt0N0aP8VhZ09A79g/FYriAdpzUhROx8Ib6nli1CoFelZiF/unujpiJiaFBAw2M8pR+aO1XzCd1eXl5PPPMMyxbtgyXy8V1113HkCFD6Nu3b0SOv2DDHor9NroGugaOUhT7bRZs2NMqSZ3b1ElJsOjVyUtBQWmLn08IEd9qRq36cYLlOLYvlMhFsHkVQPmPYu95NzS3nC+v5vze7phZV2NmTkZzNX/Zozbl+NqzquZO3bBqEjGtegUCQNVeXkqrPsQJqhMyw5uMU3bi/KCSsIlqMZ/UrV+/nqFDh5KSEkqwxo8fz6pVq7jnnnsicvy9Rf6qhK7qAwWAYm9RZBahro+ha3RMsEhxhf7K0mUghBCiEaprZTTHD8pGUzbKsVEqiF1SjFN6DBw7YqNWa1NK4Rz7J3buUoIH1oJTXeumoWcMxcq6Bj1jaHgG/rat1sABCGdbmm6GRnyGp9/Q0atGgdasQmDVqT2r9zfRyFGgQjRWzCd1hw8fJj09Pfw4IyODr776qoFX1NWxYwJep/5PSbiAPG6BNk2D1NSWGV7vtQzOSHThsYw629PTk1vkfC2lLcUrsbacthZvW6M75WD7cZwgqCDKCaKCfhzlnFD7puwgKlgZ8RhU0EfwwFrsXW/iFH1Ts8NKxszMwcy6Gj2xR8TPG3m1R3hWPaYmUdNcHTC9CTUJGlpVzZqGUnpVk+iJiVdbX4VAxI+YT+ocx6mTcCmlmjT8vaioAl8gWO/+zA4eco9VgOOgaxpO1XxdWR09FBaWNSv245m6RmqiCzcOJcdsaleit7Vlt9pSvBJry4m1eHVdIy0tKdphRJRdno9jRz5Rawyn/AB27jLsPe9CoDi8XevQD6v3dIxu49BMT1Riq5emVX1H6GiGGwwLXbcAo2oBdr1qEtvQz7WXiTITk3HK67mfq752JFkTsSzmk7ouXbrw+eefhx/n5+eTkZERsePfNSSTuR/vpLQyNFBC1zU6ug3uGpIZsXNoGiS6TdISrDoz+AshRGsL5K0nuONVnPID6N5uGNk3YnUeHt6vlIOT//dQE2ve/xHudq+ZGN0uC80t1+n70ZtbLtxvTa+qYasa9WlYVXOp1cyv1pgF2CVJE/Ek5pO64cOH87vf/Y7CwkISEhJYvXo1c+bMidjxh2Wm8MioPry2+SAHS/x0jfCUJi5DI9XrIsllSOEhhIiqQN56ApvmgF0GThDHX4izaQ4M/CVm6vex9/4ZO3cpqmxv+DWaJx2z11WYvaagudNaIcqqmjZND42W1U003ULTTRRVI0H1qpUMaGDUZzsubwP712Jv/R1O6R70pJ6YZ/8Eq/uYaIclWkHMJ3WdO3fmvvvu4+abbyYQCDBt2jTOPffciJ5jWGZKxEe6ahoku01SEyyMWvMDCSFEtAS2LoDKoqrEyAj1yas8RuDL2QScSgj6ws/V0y7AzJqO0WVkqEYs0mrXuFU3kxoulFY96KBmsMFJp+mQMvWkAvvX4v/sJxAoAccm6Msn+NlPYOjvJLFrB2I+qQPIyckhJycn2mE0mtvUSfO6SDDjYQSYECJulO6mev1NVGjgBaia/nJGAmaPyzF7T0NP7hO582pVfdeMBHSPhW64Q82k1U2lhJK345tJ5Y/hpqvc9Bj4C6uapc1Q4u4vpHLTY5LUtQNtIqlrK3QNOngsUhMsWdhLCBF7lALsk9ZyWQN+jpk5Cc1qxkCT6kEKmolmukPJm26BZqE0C6tDB/CX1E3eJHGLKFX8XVXVZoDQD6FBI6r4u+gGJlqFJHUR4rYM0r0WbkNq54QQsUMphVO4CTt3KVDPahJmClafa5t+cE1D0ww0KwHdSETpJkq30KoGKUR+pjxxag51f8+qaptUNbQHktQ1k65ppHgtUtymK+5n1QAAGi1JREFUfGSEECfVkksd1kfZFQT3ryKwaymq5BS1NI6v4f1Vqpet0kwPuulBGW6U5gG0OgmcNJtGkVPPN1F920VckaTuNGlAgssgzWvh0qV2Tghxci291CGAf9sfCe58nXK7HAwPWnIfVGku2DVLD2qJPVFle05+AOfkK+homh4afWomoJsJKN0dGsiA1MLFrvrW9o3smr8iNkk2chpcpkZGspuuSS5J6IQQDaq91KHX6w0vdRgp/m1/JPjtH8AuBxQEy1HHtoQSOt2F0WMS7kteQfOkN3CU6nVHQ9OI6O4OmN4u6EmZ6Ek9wZ2OYySFEzoRy+pLtyUNbw+kpq4JTD3U1NrBMk+66LIQQhyvuUsdNkRVFhH8bhEnnfRDd5EwZgWaOzRdk7/8wIkH0E10KxktIQPT2wVluEG36vaHk6ZUIdoMSeoaIbwihMfC1CWbE0I0XnOXOkxJSQCnbg1Z5ZEtlH7zBhW73gOn9hJi1fPPAY5NWtfu4T12h0wq/YWgaeimB81KQjNcOJXlWB2zSOva9XTfYpPE+lrBbT2+0gb2tcZ7a+vXr62TpO4UTF0jLdFFsqwIIYQ4Dc1d6vDYsQocuxIV9BM88AF27lKcY/887lla1ZxvRtVsvUEwvXXXr+5zC2bwZag8hhPw4wTKUWWHwNUJ1fvWVlnDN9bWCj5eXMSnu0/eR1J3t/h7i4vrF0WRSDilQ1gDPJZB1w5ukixJ6IQQp2f48OF8+umnFBYWUlFRwerVqxk5cmSjX68q8qnc+gIVa6+gctOj4YROS+6L9f0H0fv+kNBkwio00awTBByMPteHDqBp6K5k3L2vwvj+wwR1L46/ABUoQ+vQD/ew52VS2jhiDriPE6cv0aq2i3gnNXUnoWvQMcGik0cmERZCNE9zlzr0r78Du3hX6IFmYHQdjZk1DT11IJqmYQF+3SK48/XQYAnTi9Hnetz9f4RuJaC5U8FIQCmwul2K1e3SlnmjIiZ4zn0AH2B/82JosIyZhHnWnXjOfSDaoYlWIEndcTyWwRleF25D0jkhRGQ0b6lDB9xpmL2mYva6Ev0ko1jd/X8E/X9EamoihYVlaIaF4U7FMZNQaDLYoZ3xnPsASBLXLklSV8XSNToluki2jGiHIoQQYdaAX2ClXoCmN2Y6ER3D0wlcKThIWSZEe9Pukzpd0+iYYNLRbWLIPCVCiBhjdLkEx65s+Emahm4lYiT3QNmB1glMCBFz2m1Sp2ngdZmkJpgygbAQok3SdAPN8qJZyWB40U0PIEmdEO1Vu0zq3KZOqtdFoqXLqFYhRJujGS4MdyccMxHQQ13mpCwTot1rV0ldeEUIl4mGLDothGhbQgMgOuGYyTgyNl8IcZx2kdTpGiR7LFI8Jqb0mxNCtDGabqC7O6KsFByZXlQIUY+4T+pclk5agoXHlIJQCNH26O5klJ6M0uK+uBZCNFPclxIZXhfKkXZWIUQbZaVKGSaEaJS4r76SxlYhhBBCtAdxn9QJIYQQQrQHktQJIYQQQsQBSeqEEEIIIeKAJHVCCCGEEHFAkjohhBBCiDggSZ0QQgghRByQpE4IIYQQIg5IUieEEEIIEQckqRNCCCGEiANxv0yYrredNSXaUqzQtuKVWFtOLMUbS7FESlPfU6xfA4mveSS+5on1+JpLU0rJooJCCCGEEG2cNL8KIYQQQsQBSeqEEEIIIeKAJHVCCCGEEHFAkjohhBBCiDggSZ0QQgghRByQpE4IIYQQIg5IUieEEEIIEQckqRNCCCGEiAOS1AkhhBBCxAFJ6oQQQggh4kDcJnUrVqzg8ssvZ9y4cbz22mutdt7nn3+eSZMmMWnSJObNmwfAQw89xLhx45gyZQpTpkxhzZo1AKxfv56cnBzGjRvHM888Ez7G1q1bueqqqxg/fjyPPPIItm0DcODAAW644QYmTJjAnXfeSVlZWbPjvemmm5g0aVI4ts2bN9d77aIZ75tvvhmOccqUKQwaNIjHHnss5q5taWkpkydPZt++fRGNo7i4mNtvv52JEydyww03kJ+fD0BlZSUPPPAAEydOZOrUqezYsaNZ8S5evJjJkyeTk5PDQw89RGVlJRC6r0ePHh2+ztX3RaTehzi1U5VprVlunE58a9euZcqUKVxxxRXcddddFBUVAfD2229z8cUXh++t2p+T1oyvqfd4a8a3devWOuXfJZdcwuTJk4HWu37HlxXHxxfNe+9U8UX73jtVfBG991QcOnTokBo9erQ6evSoKisrUzk5OWr79u0tft5PPvlEXXvttcrv96vKykp18803q9WrV6vJkyervLy8Os+tqKhQo0aNUnv27FGBQEDdeuutat26dUoppSZNmqS+/PJLpZRSDz30kHrttdeUUkrdfvvtauXKlUoppZ5//nk1b968ZsXrOI66+OKLVSAQCG+r79rFQrzVvv32WzV27FhVUFAQU9d206ZNavLkyWrAgAFq7969EY3j0UcfVS+99JJSSqm3335b/fSnP1VKKfXyyy+rX/7yl0oppf7+97+r6dOnn3a8O3fuVGPHjlUlJSXKcRw1Y8YM9corryillLrjjjvUP/7xjxOOEan3IRrWmDKttT+HTYmvpKREjRgxQh06dEgppdSzzz6r5syZo5RS6rHHHlMrVqyIeExNiU+ppt/jrR1ftfLycjVp0iS1ceNGpVTrXL/jy4rjRfPeO1V80b73ThWfUpG99+Kypm79+vUMHTqUlJQUvF4v48ePZ9WqVS1+3vT0dGbOnInL5cKyLLKzszlw4AAHDhzg4YcfJicnh+eeew7Hcfjqq6/o1asXmZmZmKZJTk4Oq1atYv/+/fh8PgYOHAjAVVddxapVqwgEAmzcuJHx48fX2d4cO3fuBODWW2/liiuu4NVXX6332sVCvNV+9atfcd9995GQkBBT13bJkiXMnj2bjIwMgIjGsW7dOnJycgCYPHkyf/3rXwkEAqxbt44rrrgCgAsvvJDCwkIOHDhwWvG6XC5mz55NUlISmqbRr1+/8LG2bNnCSy+9RE5ODo899hh+vz+i70M07FRlWjQ+h02JLxAIMHv2bDp37gxA//79OXjwIABff/01b7/9Njk5Odx///3hWpTWjA+ado9HI75qL730EhdeeCGDBw8GWuf6HV9W1Bbte+9U8UX73jtVfBDZey8uk7rDhw+Tnp4efpyRkUFeXl6Ln/fMM88M/wJyc3N5//33ueSSSxg6dChPPPEES5Ys4fPPP2fp0qX1xnj89vT0dPLy8jh69ChJSUmYpllne3MUFxczbNgwFixYwKJFi3jjjTc4cOBAo+KKRrwQKvx8Ph8TJ07kyJEjMXVt586dGy5oof778HTiqP0a0zRJSkqisLDwpMc6dOjQacXbvXt3RowYAUBhYSGvvfYal112GWVlZZx99tk88MADvP322xQXF/PCCy9E9H2Ihp2qTGvtz2FT4+vUqRNjx44FwOfz8fvf/54xY8aEY7rrrrtYvnw5Xbt25bHHHmv1+Jp6j7d2fNVKSkpYsmQJ99xzT52YWvr6HV9WNBR7a997p4ov2vfeqeKL9L0Xl0md4zhomhZ+rJSq87ilbd++nVtvvZUZM2bQp08fFixYQEZGBgkJCdx00018/PHH9cZY3/aTvYfmvqfzzz+fefPmkZycTGpqKtOmTeO5555rUlytGS/AG2+8wQ9/+EMAMjMzY/baQv33YSTiUEqh6/oJr6ne3hx5eXnccsstXH311QwZMoTExET+8Ic/kJ2djWma3HrrrQ1e59N5H6JhpyrTWvvebmp81UpKSrj99ts566yzmDp1KgALFixg0KBBaJrGbbfdxt/+9rdWj6+p93hrx1dt+fLljBkzhrS0tPC21rh+DYn2vddY0br3TiXS915clqZdunSp0wE7Pz+/3mrPSPviiy/4wQ9+wC9+8QumTp3Ktm3b+Mtf/hLer5TCNM16Yzx++5EjR8jIyCA1NZWSkhKCwWDE3tPnn3/Op59+Wie27t27NyquaMRbWVnJxo0bufTSSwFi+tpC/ffh6cSRkZHBkSNHALBtm7KyMlJSUujcuTOHDx8+4Vina8eOHVx33XVMnTqVu+++Gwh1dl66dGn4OfVd5+a8D9GwU5VprX1vNzU+CNXoXH/99fTv35+5c+cCoS/aRYsWhZ+jlMIwjFaPr6n3eGvHV23t2rVcfvnl4cetdf0aEu17rzGiee+dSqTvvbhM6oYPH86nn35KYWEhFRUVrF69mpEjR7b4eQ8ePMjdd9/N/PnzmTRpEhD6BT3xxBMUFRURCARYvHgxY8eO5bzzzmPXrl3s3r2bYDDIypUrGTlyJN27d8ftdvPFF18A8O677zJy5Egsy2Lw4MG89957ALzzzjvNfk8lJSXMmzcPv99PaWkpb7/9Nk899dRJr10sxLtt2zaysrLwer1AbF9bIKJxjBo1infeeQeA9957j8GDB2NZFqNGjeLdd98FQkm62+2mW7dupxVvaWkpP/rRj/jpT3/KrbfeGt7u8Xh46qmn2Lt3L0opXnvtNcaOHRvR9yEadqoyrbXv7abGFwwG+fGPf8zEiRN55JFHwjUOXq+Xl19+mc2bNwPw6quvhpvKWjO+pt7jrR0fhMq7f/7zn5x//vnhba11/RoS7XvvVKJ9751KxO+9Uw6laKOWL1+uJk2apMaNG6d+//vft8o558yZowYOHKiuuOKK8L/XX39dvfrqq2rixIlq7Nix6qmnngo/f/369SonJ0eNGzdOzZ07VzmOo5RSauvWrerqq69W48ePVz//+c+V3+9XSim1b98+deONN6qJEyeqW2+9VR07dqzZMT/zzDNqwoQJaty4cWrRokVKqfqvXbTj/fOf/6x+9rOf1dkWi9d29OjR4RFOkYrj6NGj6o477lCXX365uvbaa8PH9/l8asaMGeryyy9XV155pdqyZctpx/vKK6+oAQMG1Ll/n332WaWUUqtWrQrfEzNnzgzHG6n3IU7tZJ/L2267TX311VdKqdYtN5oa3+rVq1X//v3r3FsPP/ywUkqpjRs3qiuvvFJNmDBB/fjHP1bFxcWtHp9STb/HWzu+I0eOqOHDh5/wuta6fkrVLdti6d5rKL5YuPcaik+pyN57mlJKtXAiKoQQQgghWlhcNr8KIYQQQrQ3ktQJIYQQQsQBSeqEEEIIIeKAJHVCCCGEEE3Q0FquJzNjxgyWLVsWftxS686aETmKEEIIIUQ7sHnzZmbNmkVubu4pn5uXl8fs2bP59NNPGTp0aHj7li1bmDlzJpMnT45obFJTJ+o1c+ZM/vjHP7bIsZ9//nnWrl3bpNcUFhbSv39/AD744AMef/zxlgitjpKSEm6++eaIHrMlr6sQokaslWGNsWzZMu64446IH7cpmnvdSkpKuPfee5k8eTKXX345v//97yMYXfSdbC3Xd955h6lTpzJlyhQefvhh/H4/ACtWrOCyyy5j4sSJdY7RUuvOSlInomLDhg3Ytn3ar7/sssuYNWtWBCM6uaKiIr7++usWP48Qom1pbhkWz37729/SuXNnVq5cydKlS3njjTf48ssvox1WxBy/luv27dtZsmQJb7zxBu+++y5paWnhpPi2225j+vTpJxyjpdadleZXwYYNG5g/fz7dunVj586deDwennzyyTrPWbp0KYsXLyYQCFBUVMR//Md/cP3117Ns2TLWrFmDruvs3r0bj8fDf/3Xf5GdnU1JSQlz587l22+/JRAIMGzYMGbMmMHixYvZsmUL8+bNwzCMBmfxXr16Nc888wwJCQmcc8454e3Lli3jL3/5Cy+99BKbNm3iqaeeorKykvz8fIYPH84TTzzBvn37uOWWWxgxYgRbtmwhGAxy7733snjxYnbu3Mk555zD008/ja7r/OMf/2D+/PlUVFSg6zr33HMPo0eP5qGHHsLn8zFlyhSWLVtGbm4uc+fO5dixYwSDQW666SamTZvGhg0bmDt3Ll6vl7KyMt566y1cLtcpr/0TTzzBtm3beOGFF5gzZw4ej4dvv/2WgoICLr30UlJSUvjoo4/Iz8/n8ccfZ9iwYaf/ixYiTsVqGbZ48WI++ugjFi5cCISW4fvBD37AunXr+PLLL5k3bx4VFRVYlsXPfvazE1YMuOmmm7jhhhuYMGHCCY+///3v88Mf/pD169dTXl7OPffcw6pVq/j222/JyMhg4cKFeL1eduzYcdIyq7FOp4x65JFH6iwPVllZSXJycqPP2dZs2LCB3bt3c8011wAQCAT43ve+1+BrFixYEP75tttui9xqFi01c7JoOz777DN11llnqY0bNyqllHr99dfV1KlT1YMPPqhefvllVVpaqq655hpVWFiolFLqyy+/VAMHDlRKKfXWW2+pQYMGqYMHDyqllHrsscfUjBkzlFJKzZw5U/3v//6vUkop27bV/fffH54p/cYbb1Tvv/9+g3Hl5+erQYMGqe3btyullFq4cKHq169f+Ly33367Ukqp++67T3322WdKKaVKS0vVkCFD1Ndff6327t2r+vXrp9auXauUUuo///M/1ejRo1VJSYny+XxqxIgR6osvvlDHjh1T48aNC8/0fejQITVy5Ei1f/9+tXfv3vB7DQQC6vLLLw+v2lBcXKwmTpyovvzyy/A13Ldv3ymv94MPPqj+8Ic/qEcffVTdfffd4VnCH3zwQTV9+nRVWVmpDh8+rPr16xe+fosWLVI//OEPT3lsIdqjWC3DSkpK1ODBg9Xhw4eVUkrNmzdPPf3006qwsFANGzZMbdq0SSml1LfffqsuuugitWfPnjpl2/HnqP24X79+6n/+53+UUkq99NJL6vzzz1eHDh1SwWBQTZ06VS1fvrzBMqshkSqjfvGLX6hzzjlH3Xfffcq27QbP2RZVrxCxaNEiNWfOnPD20tJSVVRUVOe5Dz74oHrrrbeUUqHfwyuvvBLed/ToUTV06NCIxCQ1dQKAs846K1ydfPXVV/PYY4+F+wskJiaycOFCPv74Y3Jzc/nmm28oLy8Pv3bAgAF06dIFgO9973usWbMGgHXr1vH111+HFyv2+XxNiumLL76gX79+9O3bF4Brr72Wp59++oTnPfnkk/z1r39l4cKF7Ny5E7/fT3l5OSkpKViWxaWXXgpAz549Of/880lKSgJCi8sXFRWxadMm8vPzwwvYA2iaxrZt2zjzzDPD23Jzc9mzZw8PP/xweJvP5+Nf//oX2dnZdO3ale7duzfqvS1atIiCggLeeeedOjV6o0ePxrIs0tPT8Xq9XHLJJeHYjx071thLJ0S7E4tlWFJSEmPHjmX58uX84Ac/YMWKFbz22mt89dVX9OzZk/POOw+AM888kwsuuIC///3v4bVJG2P8+PFAqHzo168fnTt3BqBHjx4UFRU1WGYNHDiwwWNHooyaP38+jz76KPfeey8LFizg3nvvbfR7a0uGDBnCf//3f3PnnXeSmprKr371K3r27MlPfvKTkz6/et3Z888/n/POOy+i685KUicAMAzjhG26HupyeejQIa699lquueYaBg0axIQJE/joo4/Cz/N4POGfNU1DVa085zgOv/3tb8nOzgaguLi4SQUWED4WgGme/Ha98cYb6d+/P5dccgkTJ05k8+bN4ddZllXnnCdbPD4YDJKdnc2bb74Z3paXl0dqaip5eXl1npecnMy7774b3nbkyBGSk5PZtGkTXq+30e/rwgsv5IILLuChhx5i8eLF4biOb7Kt7z0LIeqK1TLsmmuu4Ze//CXZ2dlkZ2eTmZnJ9u3bTziOUgrbtk8oo2qXgYFAoM6+2s+tr2yrr8w6leaUUX/729/CSWZiYiKTJk1i9erVpzxnW3XWWWdxzz33cMstt+A4DmeffTa33357vc83DINnn32WX/3qV/h8PrKyspg3b15EYpGBEgKAb775hm+++QYI9QM5//zz6dChAxAaep2amspdd93FxRdfHC4Mq/tM1Ofiiy9m0aJFKKWorKzkzjvv5NVXXwVCN/WpOhlfeOGFfPfdd+G4as/xU624uJivv/6a+++/n3HjxnHo0CH27NmD4ziNfu8DBw5k9+7dbNy4EYCtW7cyfvx48vLyME2TYDCIUorevXvj8XjCBeTBgweZPHkyW7ZsafS5qp1zzjnceOONJCcn8/zzzzf59UKIumKxDAPCNWILFiwId5gfOHAgO3fu5KuvvgJCHe03btzIRRddVOe1qamp4fLlu+++Y9u2bY26FtWaU2Y1p4x6//33WbBgQfi6vf/++3Wm84gXH374IT169ABg+vTprFy5kvfee4/f/OY3uN3uOs998sknueqqq8KPBw8ezNtvv83777/Piy++GLE+h1INIAA444wzePbZZ9m/fz+pqanMmzcv/EEeMWIES5cuZcKECWiaxkUXXURqaiq7d+9u8JiPPPIIc+fOJScnh0AgwPDhw7ntttsAuPTSS3n66acJBAJMnTr1pK9PTU1l/vz53H///ViWxYUXXnjCczp06MDtt9/O1KlT8Xq9dO7cmQsuuIDdu3eTmZnZqPeemprKc889x7x58/D7/SilmDdvHj169CAYDHLuuecyadIkXnvtNV544QXmzp3Lyy+/jG3b/PSnP2XQoEFs2LChUeeqTdM0nnjiCa688kpGjRrV5NcLIWrEYhlWbfr06bzwwguMGTMGCJU5v/3tb5kzZw4+nw9N0/j1r39N796964wSvfPOO5k5cyYff/wxffr0qTPisjFcLle9ZVZjnG4ZNXPmTGbPnk1OTg4AY8aMifjUUOLkNFW7ble0Sxs2bGDOnDmsXLky2qEIIUSTSRkmRIjU1Imoevnll1mxYsVJ9/3oRz/iiiuuaOWImm/nzp3cd999J93Xu3dvnn322VaOSAjRUtpiGSZlVPySmjohhBBCiDggAyWEEEIIIeKAJHVCCCGEEHFAkjohhBBCiDggSZ0QQgghRByQpE4IIYQQIg78f30UAjBwwWAcAAAAAElFTkSuQmCC\n", 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" ] @@ -1967,7 +2274,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 51, "metadata": {}, "outputs": [], "source": [ @@ -1978,7 +2285,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -2009,7 +2316,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 53, "metadata": { "scrolled": true }, @@ -2064,7 +2371,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 54, "metadata": { "scrolled": false }, @@ -2085,7 +2392,7 @@ "[0.27279861874117095]" ] }, - "execution_count": 50, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -2098,7 +2405,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -2168,7 +2475,7 @@ "0 0.020301 " ] }, - "execution_count": 51, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -2180,7 +2487,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -2221,7 +2528,7 @@ "Name: moon_planet_relative_diameter, dtype: float64" ] }, - "execution_count": 52, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -2241,7 +2548,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 57, "metadata": {}, "outputs": [ { @@ -2250,7 +2557,7 @@ "[0.02030142397437823]" ] }, - "execution_count": 53, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -2263,7 +2570,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -2333,7 +2640,7 @@ "0 0.020301 " ] }, - "execution_count": 54, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -2345,7 +2652,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 59, "metadata": {}, "outputs": [ { @@ -2376,7 +2683,7 @@ "Name: moon_planet_relative_volume, dtype: float64" ] }, - "execution_count": 55, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } @@ -2455,7 +2762,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -2504,7 +2811,7 @@ "Indian 1 5" ] }, - "execution_count": 56, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } @@ -2525,7 +2832,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -2534,7 +2841,7 @@ "(20.0, 0.03496503496503495)" ] }, - "execution_count": 57, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } @@ -2603,7 +2910,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -2613,7 +2920,7 @@ " [3.375, 2.625]]))" ] }, - "execution_count": 58, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -2665,7 +2972,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 63, "metadata": {}, "outputs": [ { @@ -2692,7 +2999,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 64, "metadata": {}, "outputs": [ { @@ -2701,7 +3008,7 @@ "0.018323558187319684" ] }, - "execution_count": 60, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -2719,7 +3026,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 65, "metadata": {}, "outputs": [ { @@ -2728,7 +3035,7 @@ "Ttest_1sampResult(statistic=-0.5100116850761494, pvalue=0.6153619635101513)" ] }, - "execution_count": 61, + "execution_count": 65, "metadata": {}, "output_type": "execute_result" } @@ -2746,7 +3053,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 66, "metadata": {}, "outputs": [ { @@ -2755,7 +3062,7 @@ "Ttest_1sampResult(statistic=-77.47835937736278, pvalue=2.6973888513820512e-27)" ] }, - "execution_count": 62, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } @@ -2807,7 +3114,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -2833,7 +3140,7 @@ " 1.24736443, 3.37310318, 2.49312666, 1.20535969, 2.76990115]))" ] }, - "execution_count": 63, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -2848,7 +3155,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 68, "metadata": {}, "outputs": [ { @@ -2867,7 +3174,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 69, "metadata": {}, "outputs": [ { @@ -2901,7 +3208,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 70, "metadata": {}, "outputs": [ { @@ -2922,7 +3229,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 71, "metadata": { "scrolled": true }, @@ -3008,7 +3315,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 72, "metadata": {}, "outputs": [], "source": [ @@ -3021,7 +3328,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 73, "metadata": {}, "outputs": [ { @@ -3053,7 +3360,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 74, "metadata": {}, "outputs": [ { @@ -3062,7 +3369,7 @@ "F_onewayResult(statistic=7.121019471642447, pvalue=0.0002812242314534544)" ] }, - "execution_count": 70, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -3112,7 +3419,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 75, "metadata": {}, "outputs": [], "source": [ @@ -3142,7 +3449,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -3221,7 +3528,7 @@ "4 5.0 3.6 1.4 0.2" ] }, - "execution_count": 72, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } @@ -3239,7 +3546,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 77, "metadata": {}, "outputs": [ { @@ -3331,7 +3638,7 @@ "4 setosa " ] }, - "execution_count": 73, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" } @@ -3353,7 +3660,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 78, "metadata": {}, "outputs": [ { @@ -3451,7 +3758,7 @@ "4 setosa True " ] }, - "execution_count": 74, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } @@ -3469,7 +3776,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 79, "metadata": {}, "outputs": [ { @@ -3480,7 +3787,7 @@ "Name: is_train, dtype: int64" ] }, - "execution_count": 75, + "execution_count": 79, "metadata": {}, "output_type": "execute_result" } @@ -3491,7 +3798,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 80, "metadata": {}, "outputs": [], "source": [ @@ -3502,7 +3809,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 81, "metadata": {}, "outputs": [ { @@ -3529,7 +3836,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 82, "metadata": {}, "outputs": [ { @@ -3540,7 +3847,7 @@ " dtype='object')" ] }, - "execution_count": 78, + "execution_count": 82, "metadata": {}, "output_type": "execute_result" } @@ -3555,7 +3862,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 83, "metadata": {}, "outputs": [ { @@ -3569,7 +3876,7 @@ " 2, 2, 2, 2, 2, 2, 2, 2])" ] }, - "execution_count": 79, + "execution_count": 83, "metadata": {}, "output_type": "execute_result" } @@ -3593,7 +3900,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 84, "metadata": {}, "outputs": [ { @@ -3615,7 +3922,7 @@ " oob_score=False, random_state=0, verbose=0, warm_start=False)" ] }, - "execution_count": 80, + "execution_count": 84, "metadata": {}, "output_type": "execute_result" } @@ -3645,7 +3952,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 85, "metadata": {}, "outputs": [ { @@ -3655,7 +3962,7 @@ " 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])" ] }, - "execution_count": 81, + "execution_count": 85, "metadata": {}, "output_type": "execute_result" } @@ -3667,7 +3974,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 86, "metadata": {}, "outputs": [ { @@ -3707,7 +4014,7 @@ " [0. , 0. , 1. ]])" ] }, - "execution_count": 82, + "execution_count": 86, "metadata": {}, "output_type": "execute_result" } @@ -3726,7 +4033,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 87, "metadata": {}, "outputs": [], "source": [ @@ -3736,7 +4043,7 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 88, "metadata": {}, "outputs": [ { @@ -3745,7 +4052,7 @@ "array(['setosa', 'setosa', 'setosa', 'setosa', 'setosa'], dtype=' Date: Tue, 27 Nov 2018 13:55:19 -0800 Subject: [PATCH 63/78] adding assignments 8-9 and final project, assignment 8 answers, lesson 18 updates --- assignments/answers/assignment8_answers.ipynb | 2639 +++++++++++++++++ assignments/assignment8.md | 4 +- assignments/assignment9.md | 9 +- assignments/final_project.md | 2 +- lessons/lesson18.ipynb | 903 ++++-- 5 files changed, 3257 insertions(+), 300 deletions(-) create mode 100644 assignments/answers/assignment8_answers.ipynb diff --git a/assignments/answers/assignment8_answers.ipynb b/assignments/answers/assignment8_answers.ipynb new file mode 100644 index 0000000..2f17bc4 --- /dev/null +++ b/assignments/answers/assignment8_answers.ipynb @@ -0,0 +1,2639 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Answers to Assignment 8 - Time Series and Group Operations\n", + "\n", + "Complete the tasks below. Please turn in a single Jupyter notebook named `8_first_last.ipynb` (substitute your first and last name). Please run Kernel > Restart & Run All on your notebook before turning in.\n", + "\n", + "#### Precipitation in La Jolla\n", + "\n", + "For this assignment, we will use a file containing daily precipitation data in La Jolla from February 2009 to November 2018, which were downloaded from [NOAA](https://www.ncdc.noaa.gov/cdo-web/datasets/GHCND/stations/GHCND:US1CASD0030/detail) using \"standard\" (imperial) units (inches for precipitation, feet for elevation). Download the file from [GitHub](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/la_jolla_precip_daily.csv).\n", + "\n", + "#### A. Set up the file\n", + "\n", + "1. Import the CSV file as a Pandas DataFrame with default header and index.\n", + "2. Change the 'DATE' column to timestamps using `pd.datetime()`. Alternatively, import the csv file with `parse_dates` set to the columns you want to parse as datetime.\n", + "3. What was the maximum daily precipitation (in inches) during this time period and when was it?\n", + "\n", + "#### B. Explore the dataset\n", + "\n", + "1. We don't need the columns 'SNOW' and 'SNOW_ATTRIBUTES' because there was no recorded snow in the dataset. Delete those columns \"in place\".\n", + "2. Find out about the sampling stations. Notice that the column values are similar between rows except 'DATE' and 'PRCP'. Explore these other columns using three different commands (we haven't covered them yet, but they are easy to use and you can always google them): \n", + " - Use the `value_counts()` method for each of these columns: 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION'. There should only be one cateogory for each calculation because all the data come from the same station. To see what output looks like for a more diverse series, use the `value_counts()` method on 'PRCP' and 'PRCP_ATTRIBUTES'.\n", + " - Make a DataFrame with just the columns 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION' and use the method `drop_duplicates()` to see all the unique combinations of values in those five columns. \n", + " - Create a groupby object using `groupby('STATION')`, then use the `count()` method on that groupby object to count the number of values for each station.\n", + "3. Create columns for 'YEAR', 'MONTH', 'DAY', and 'DAY_OF_YEAR'. Hint: use attributes such as the `.year` attribute, or use a regular expression, with a list comprehension.\n", + "\n", + "#### C. Plot precipitation versus time\n", + "\n", + "1. Use the Matplotlib function `plot()` to plot 'PRCP' versus 'DATE' as a line.\n", + "2. Plot 'PRCP' versus 'DATE' each year separately as a different colored line, with the x-axis going from the beginning to the end of the year, with a legend indicating the year. Hint: use the 'DAY_OF_YEAR' and 'YEAR' columns you created in B3.\n", + "3. Go back and recolor the two plots above: pick two colors from ColorBrewer or xkcd and draw your subplots again.\n", + "4. Replot the plots in a subplot with the two sets of axes in a 1x2 formation.\n", + "\n", + "#### D. Plot distributions of the precipitation data\n", + "\n", + "1. Plot a histogram of precipitation values using the Matplotlib function `hist()`.\n", + "2. Plot a histogram with kernel density and rugplot with the Seaborn function `distplot()`. Play around with the settings to make a histogram that represents the data well.\n", + "3. Add columns to the DataFrame for year and month. Hint: You can do this with list comprehension and the datetime attributes `year` and `month`.\n", + "4. Use groupby to group the data by year or by month. Which year was the rainiest? Which month was the rainiest?\n", + "5. Make boxplots by year and by month using the Seaborn function `boxplot()`. Hint: If you make a boxplot of your DataFrame without grouping, the boxplots will be centered on zero, because there are so many days with zero precipitation. Instead, use groupby to group the data by year *and* month (use a list containing these columns), set `as_index=False`, average over those groups, and save this as a new DataFrame; then use this for your boxplots.\n", + "\n", + "#### E. Pivoting, stacking and unstacking\n", + "\n", + "1. Use `pivot_table()` to produce a new DataFrame, where rows=years and columns=months, containing the mean precipitation of each month.\n", + "2. Draw a heatmap of years x months where each square is a month colored by mean precipitation. Adjust the colormap to highlight months with heavy precipitation. Hint: Seaborn's `heatmap()` function makes this very easy.\n", + "3. Stack the monthly precipitation table using `stack()`. View the values for 2017. Which month had the most precipitation in 2017? Describe the distribution statistics for all months using `describe()`. How many months are included in this dataset? What was the median month (daily average) value in this time period?\n", + "4. Use `unstack()` to stack precipitation pivot table by month and then year. View the values for December. Which year had the wettest December?" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "sns.set(context='notebook', style='whitegrid')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_palette(sns.color_palette('Paired', 12))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to Question A - Set up the file" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A1. Import the csv file as a Pandas DataFrame with default header and index." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# By default, the index will start with zero and the header will be the first row of the csv file.\n", + "df = pd.read_csv('../../data/la_jolla_precip_daily.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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STATIONNAMELATITUDELONGITUDEELEVATIONDATEPRCPPRCP_ATTRIBUTESSNOWSNOW_ATTRIBUTES
0US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-180.0,,N0.0,,N
1US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-190.0,,N0.0,,N
2US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-200.0,,N0.0,,N
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" + ], + "text/plain": [ + " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", + "0 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "1 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "2 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "3 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "4 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "\n", + " DATE PRCP PRCP_ATTRIBUTES SNOW SNOW_ATTRIBUTES \n", + "0 2009-02-18 0.0 ,,N 0.0 ,,N \n", + "1 2009-02-19 0.0 ,,N 0.0 ,,N \n", + "2 2009-02-20 0.0 ,,N 0.0 ,,N \n", + "3 2009-02-21 0.0 ,,N 0.0 ,,N \n", + "4 2009-02-22 0.0 ,,N 0.0 ,,N " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# It's always good to take a quick look at your DataFrame.\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "STATION object\n", + "NAME object\n", + "LATITUDE float64\n", + "LONGITUDE float64\n", + "ELEVATION float64\n", + "DATE object\n", + "PRCP float64\n", + "PRCP_ATTRIBUTES object\n", + "SNOW float64\n", + "SNOW_ATTRIBUTES object\n", + "dtype: object" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check dtypes\n", + "df.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A2. Change the 'DATE' column to timestamps using `pd.datetime()`." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "df['DATE'] = pd.to_datetime(df['DATE'])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "STATION object\n", + "NAME object\n", + "LATITUDE float64\n", + "LONGITUDE float64\n", + "ELEVATION float64\n", + "DATE datetime64[ns]\n", + "PRCP float64\n", + "PRCP_ATTRIBUTES object\n", + "SNOW float64\n", + "SNOW_ATTRIBUTES object\n", + "dtype: object" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check dtypes again\n", + "df.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Alternatively, import the csv file with `parse_dates` set to the columns you want to parse as datetime." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv('../../data/la_jolla_precip_daily.csv', parse_dates=['DATE'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A3. What was the maximum daily precipitation (in inches) during this time period and when was it?" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "3.35" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['PRCP'].max()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The maximum rainfall over this period was 3.35 inches." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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STATIONNAMELATITUDELONGITUDEELEVATIONDATEPRCPPRCP_ATTRIBUTESSNOWSNOW_ATTRIBUTES
663US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72010-12-223.35,,NNaNNaN
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" + ], + "text/plain": [ + " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", + "663 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "\n", + " DATE PRCP PRCP_ATTRIBUTES SNOW SNOW_ATTRIBUTES \n", + "663 2010-12-22 3.35 ,,N NaN NaN " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# One way to get information about the maximum precipitation date.\n", + "df[df['PRCP'] == df['PRCP'].max()]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "STATION US1CASD0030\n", + "NAME LA JOLLA 2.1 SE, CA US\n", + "LATITUDE 32.8257\n", + "LONGITUDE -117.25\n", + "ELEVATION 149.7\n", + "DATE 2010-12-22 00:00:00\n", + "PRCP 3.35\n", + "PRCP_ATTRIBUTES ,,N\n", + "SNOW NaN\n", + "SNOW_ATTRIBUTES NaN\n", + "Name: 663, dtype: object" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Another way to get information about the max precipitation value.\n", + "df.loc[df['PRCP'].idxmax()]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The max precipitation occurred on Dec 22, 2010." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to Question B - Explore the dataset" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "B1. We don't need the columns 'SNOW' and 'SNOW_ATTRIBUTES' because there was no recorded snow in the dataset. Delete those columns \"in place\"." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "# Delete these columns because there wasn't any recorded snow.\n", + "df.drop(['SNOW', 'SNOW_ATTRIBUTES'], axis=1, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", + "0 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "1 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "2 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "3 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "4 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "\n", + " DATE PRCP PRCP_ATTRIBUTES \n", + "0 2009-02-18 0.0 ,,N \n", + "1 2009-02-19 0.0 ,,N \n", + "2 2009-02-20 0.0 ,,N \n", + "3 2009-02-21 0.0 ,,N \n", + "4 2009-02-22 0.0 ,,N " + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Check the DataFrame again.\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "B2. Find out about the sampling stations. Notice that the column values are similar between rows except 'DATE' and 'PRCP'. Explore these other columns using three different commands (we haven't covered them yet, but they are easy to use and you can always google them): " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Use the `value_counts()` method for each of these columns: 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION'. There should only be one cateogory for each calculation because all the data come from the same station. To see what output looks like for a more diverse series, use the `value_counts()` method on 'PRCP' and 'PRCP_ATTRIBUTES'." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "# These columns refer to the stations where data was collected.\n", + "columns = ['STATION', 'NAME', 'LATITUDE', 'LONGITUDE', 'ELEVATION']" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "US1CASD0030 3514\n", + "Name: STATION, dtype: int64 \n", + "\n", + "LA JOLLA 2.1 SE, CA US 3514\n", + "Name: NAME, dtype: int64 \n", + "\n", + "32.8257 3514\n", + "Name: LATITUDE, dtype: int64 \n", + "\n", + "-117.2501 3514\n", + "Name: LONGITUDE, dtype: int64 \n", + "\n", + "149.7 3514\n", + "Name: ELEVATION, dtype: int64 \n", + "\n" + ] + } + ], + "source": [ + "# Count the times each value was observed in each column.\n", + "for column in columns:\n", + " print(df[column].value_counts(), '\\n')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.00 3011\n", + "0.01 110\n", + "0.02 68\n", + "0.03 38\n", + "0.04 25\n", + "0.07 20\n", + "0.05 16\n", + "0.08 15\n", + "0.06 12\n", + "0.12 9\n", + "0.16 8\n", + "0.09 8\n", + "0.25 8\n", + "0.13 7\n", + "0.17 6\n", + "0.10 6\n", + "0.34 6\n", + "0.63 5\n", + "0.14 5\n", + "0.24 5\n", + "0.18 4\n", + "0.20 4\n", + "0.35 4\n", + "0.30 4\n", + "0.15 4\n", + "0.27 4\n", + "0.38 4\n", + "0.19 3\n", + "0.41 3\n", + "0.11 3\n", + " ... \n", + "0.76 1\n", + "1.50 1\n", + "2.00 1\n", + "1.18 1\n", + "3.35 1\n", + "1.23 1\n", + "0.48 1\n", + "1.34 1\n", + "0.55 1\n", + "2.02 1\n", + "0.83 1\n", + "0.46 1\n", + "0.87 1\n", + "0.40 1\n", + "1.37 1\n", + "0.84 1\n", + "0.51 1\n", + "0.58 1\n", + "0.36 1\n", + "1.55 1\n", + "0.81 1\n", + "0.93 1\n", + "0.64 1\n", + "1.10 1\n", + "0.54 1\n", + "0.67 1\n", + "2.45 1\n", + "0.47 1\n", + "0.26 1\n", + "0.23 1\n", + "Name: PRCP, Length: 89, dtype: int64 \n", + "\n", + ",,N 3245\n", + "T,,N 269\n", + "Name: PRCP_ATTRIBUTES, dtype: int64 \n", + "\n" + ] + } + ], + "source": [ + "for column in ['PRCP', 'PRCP_ATTRIBUTES']:\n", + " print(df[column].value_counts(), '\\n')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The results are pretty boring when all columns have the same values. The last two examples have more variation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Make a DataFrame with just the columns 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION' and use the method `drop_duplicates()` to see all the unique combinations of values in those five columns. " + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " NAME LATITUDE LONGITUDE ELEVATION DATE PRCP PRCP_ATTRIBUTES\n", + "STATION \n", + "US1CASD0030 3514 3514 3514 3514 3514 3514 3514" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "grouped_station = df.groupby('STATION')\n", + "grouped_station.count()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Groupby combined with count gives us information about the number of values in each column for a given value of 'STATION'. Here they are all the same." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "B3. Create columns for 'YEAR', 'MONTH', 'DAY', and 'DAY_OF_YEAR'. Hint: use attributes such as the `.year` attribute, or use a regular expression, with a list comprehension." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "# We can add columns for year, month, day, and day of year.\n", + "df['YEAR'] = [x.year for x in df.DATE]\n", + "df['MONTH'] = [x.month for x in df.DATE]\n", + "df['DAY'] = [x.day for x in df.DATE]\n", + "df['DAY_OF_YEAR'] = [x.dayofyear for x in df.DATE]" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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STATIONNAMELATITUDELONGITUDEELEVATIONDATEPRCPPRCP_ATTRIBUTESYEARMONTHDAYDAY_OF_YEAR
0US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-180.0,,N200921849
1US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-190.0,,N200921950
2US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-200.0,,N200922051
3US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-210.0,,N200922152
4US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-220.0,,N200922253
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" + ], + "text/plain": [ + " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", + "0 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "1 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "2 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "3 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "4 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "\n", + " DATE PRCP PRCP_ATTRIBUTES YEAR MONTH DAY DAY_OF_YEAR \n", + "0 2009-02-18 0.0 ,,N 2009 2 18 49 \n", + "1 2009-02-19 0.0 ,,N 2009 2 19 50 \n", + "2 2009-02-20 0.0 ,,N 2009 2 20 51 \n", + "3 2009-02-21 0.0 ,,N 2009 2 21 52 \n", + "4 2009-02-22 0.0 ,,N 2009 2 22 53 " + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to Question C - Plot precipitation versus time" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "C1. Use the Matplotlib function `plot()` to plot 'PRCP' versus 'DATE' as a line." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, 2, figsize=(12,5))\n", + "\n", + "title = ['matplotlib black', 'xkcd indigo']\n", + "color = ['k', sns.xkcd_rgb['indigo']]\n", + "\n", + "for i in [0, 1]:\n", + " ax[i].plot(df['DATE'], df['PRCP'], color[i])\n", + " ax[i].set_title(title[i])\n", + " ax[i].set_xlabel('Date')\n", + " ax[i].set_ylabel('Precipitation (inches)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In response to the later part of the question, we are coloring two different ways, displayed as subplots. We can put everything in a for loop!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "C2. Plot 'PRCP' versus 'DATE' each year separately as a different colored line, with the x-axis going from the beginning to the end of the year, with a legend indicating the year. Hint: use the 'DAY_OF_YEAR' and 'YEAR' columns you created in B3." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# colormap #1\n", + "fig, ax = plt.subplots()\n", + "for year in df.YEAR.unique():\n", + " dfx = df[df.YEAR == year]\n", + " ax.plot(dfx.DAY_OF_YEAR, dfx.PRCP, label=year)\n", + "ax.set_xlabel('Day of year')\n", + "ax.set_ylabel('Precipitation (inches)')\n", + "ax.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# colormap #2\n", + "with sns.color_palette(\"hls\", 12):\n", + " fig, ax = plt.subplots()\n", + " for year in df.YEAR.unique():\n", + " dfx = df[df.YEAR == year]\n", + " ax.plot(dfx.DAY_OF_YEAR, dfx.PRCP, label=year)\n", + " ax.set_xlabel('Day of year')\n", + " ax.set_ylabel('Precipitation (inches)')\n", + " ax.legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "C3. Go back and recolor the two plots above: pick two colors from ColorBrewer or xkcd and draw your subplots again. Replot the plots in a subplot with the two sets of axes in a 1x2 formation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For year-by-year lines, first we colored using the 12-color 'Paired' colormap, specified at the start of the notebook. Then we temporarily changed the colormap to the 12-color 'hls' colormap. Note: I couldn't get two different colormaps in the same subplot! I think this is because the colormap is defined with the subplots are created." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "C4. Replot the plots in a subplot with the two sets of axes in a 1x2 formation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to Question D - Plot distributions of the precipitation data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "D1. Plot a histogram of precipitation values using the Matplotlib function `hist()`." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Matplotlib histogram\n", + "fig, ax = plt.subplots()\n", + "ax.hist(df['PRCP'], bins=50)\n", + "ax.set_xlabel('Daily precipitation (inches)')\n", + "ax.set_ylabel('Day counts');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This basic histogram shows that most days have zero precipitation, but not much else." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "D2. Plot a histogram with kernel density and rugplot with the Seaborn function `distplot()`. Play around with the settings to make a histogram that represents the data well." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke/miniconda3/envs/python3/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Seaborn distplot\n", + "sns.distplot(df.groupby(['YEAR', 'MONTH']).sum().PRCP, color='b', bins=50, rug=True, kde=True)\n", + "plt.xlabel('Monthly precipitation (inches)')\n", + "plt.ylabel('Distribution of months (not counts)');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here we are plotting the sum for each month using groupby and sum. Distplot gives us the histogram plus a kernel density estimate and rugplot." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "D3. Add columns to the DataFrame for year and month. Hint: You can do this with list comprehension and the datetime attributes `year` and `month`." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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STATIONNAMELATITUDELONGITUDEELEVATIONDATEPRCPPRCP_ATTRIBUTESYEARMONTHDAYDAY_OF_YEAR
0US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-180.0,,N200921849
1US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-190.0,,N200921950
2US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-200.0,,N200922051
3US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-210.0,,N200922152
4US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-220.0,,N200922253
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" + ], + "text/plain": [ + " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", + "0 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "1 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "2 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "3 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "4 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "\n", + " DATE PRCP PRCP_ATTRIBUTES YEAR MONTH DAY DAY_OF_YEAR \n", + "0 2009-02-18 0.0 ,,N 2009 2 18 49 \n", + "1 2009-02-19 0.0 ,,N 2009 2 19 50 \n", + "2 2009-02-20 0.0 ,,N 2009 2 20 51 \n", + "3 2009-02-21 0.0 ,,N 2009 2 21 52 \n", + "4 2009-02-22 0.0 ,,N 2009 2 22 53 " + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# We added `year` and `month` above. We also added `day` and `dayofyear`.\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "D4. Use groupby to group the data by year or by month. Which year was the rainiest? Which month was the rainiest?" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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YEARLATITUDELONGITUDEELEVATIONPRCPMONTHDAYDAY_OF_YEAR
4201332.8257-117.2501149.70.0127556.50137715.688705182.214876
0200932.8257-117.2501149.70.0134397.32165616.006369207.334395
9201832.8257-117.2501149.70.0155955.65594915.418006156.167203
5201432.8257-117.2501149.70.0228576.51098915.678571182.500000
2201132.8257-117.2501149.70.0260226.56582615.647059184.137255
6201532.8257-117.2501149.70.0277756.54120915.760989183.500000
3201232.8257-117.2501149.70.0280006.47777815.627778182.272222
7201632.8257-117.2501149.70.0356566.51366115.756831183.500000
8201732.8257-117.2501149.70.0370226.46348315.966292181.331461
1201032.8257-117.2501149.70.0572146.52367715.841226183.036212
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" + ], + "text/plain": [ + " YEAR LATITUDE LONGITUDE ELEVATION PRCP MONTH DAY \\\n", + "4 2013 32.8257 -117.2501 149.7 0.012755 6.501377 15.688705 \n", + "0 2009 32.8257 -117.2501 149.7 0.013439 7.321656 16.006369 \n", + "9 2018 32.8257 -117.2501 149.7 0.015595 5.655949 15.418006 \n", + "5 2014 32.8257 -117.2501 149.7 0.022857 6.510989 15.678571 \n", + "2 2011 32.8257 -117.2501 149.7 0.026022 6.565826 15.647059 \n", + "6 2015 32.8257 -117.2501 149.7 0.027775 6.541209 15.760989 \n", + "3 2012 32.8257 -117.2501 149.7 0.028000 6.477778 15.627778 \n", + "7 2016 32.8257 -117.2501 149.7 0.035656 6.513661 15.756831 \n", + "8 2017 32.8257 -117.2501 149.7 0.037022 6.463483 15.966292 \n", + "1 2010 32.8257 -117.2501 149.7 0.057214 6.523677 15.841226 \n", + "\n", + " DAY_OF_YEAR \n", + "4 182.214876 \n", + "0 207.334395 \n", + "9 156.167203 \n", + "5 182.500000 \n", + "2 184.137255 \n", + "6 183.500000 \n", + "3 182.272222 \n", + "7 183.500000 \n", + "8 181.331461 \n", + "1 183.036212 " + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.groupby(['YEAR'], as_index=False).mean().sort_values('PRCP')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer: The rainiest year was 2010. " + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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MONTHLATITUDELONGITUDEELEVATIONPRCPYEARDAYDAY_OF_YEAR
7832.8257-117.2501149.70.0011942013.50000016.000000228.200000
5632.8257-117.2501149.70.0023912013.54545515.444444166.646465
6732.8257-117.2501149.70.0060972013.50000016.000000197.200000
8932.8257-117.2501149.70.0079302013.45614015.954386259.164912
4532.8257-117.2501149.70.0171432013.51623415.912338136.113636
3432.8257-117.2501149.70.0185672013.50000015.500000105.700000
91032.8257-117.2501149.70.0199352013.47077916.016234289.217532
2332.8257-117.2501149.70.0316562013.51623415.96428675.165584
101132.8257-117.2501149.70.0324192013.16245515.115523319.332130
1232.8257-117.2501149.70.0550972013.85714314.95752945.957529
0132.8257-117.2501149.70.0693882013.99640316.05395716.053957
111232.8257-117.2501149.70.0867152013.01094915.806569350.018248
\n", + "
" + ], + "text/plain": [ + " MONTH LATITUDE LONGITUDE ELEVATION PRCP YEAR DAY \\\n", + "7 8 32.8257 -117.2501 149.7 0.001194 2013.500000 16.000000 \n", + "5 6 32.8257 -117.2501 149.7 0.002391 2013.545455 15.444444 \n", + "6 7 32.8257 -117.2501 149.7 0.006097 2013.500000 16.000000 \n", + "8 9 32.8257 -117.2501 149.7 0.007930 2013.456140 15.954386 \n", + "4 5 32.8257 -117.2501 149.7 0.017143 2013.516234 15.912338 \n", + "3 4 32.8257 -117.2501 149.7 0.018567 2013.500000 15.500000 \n", + "9 10 32.8257 -117.2501 149.7 0.019935 2013.470779 16.016234 \n", + "2 3 32.8257 -117.2501 149.7 0.031656 2013.516234 15.964286 \n", + "10 11 32.8257 -117.2501 149.7 0.032419 2013.162455 15.115523 \n", + "1 2 32.8257 -117.2501 149.7 0.055097 2013.857143 14.957529 \n", + "0 1 32.8257 -117.2501 149.7 0.069388 2013.996403 16.053957 \n", + "11 12 32.8257 -117.2501 149.7 0.086715 2013.010949 15.806569 \n", + "\n", + " DAY_OF_YEAR \n", + "7 228.200000 \n", + "5 166.646465 \n", + "6 197.200000 \n", + "8 259.164912 \n", + "4 136.113636 \n", + "3 105.700000 \n", + "9 289.217532 \n", + "2 75.165584 \n", + "10 319.332130 \n", + "1 45.957529 \n", + "0 16.053957 \n", + "11 350.018248 " + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.groupby(['MONTH'], as_index=False).mean().sort_values('PRCP')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer: The rainiest month was December. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "D5. Make boxplots by year and by month using the Seaborn function `boxplot()`. Hint: If you make a boxplot of your DataFrame without grouping, the boxplots will be centered on zero, because there are so many days with zero precipitation. Instead, use groupby to group the data by year *and* month (use a list containing these columns), set `as_index=False`, average over those groups, and save this as a new DataFrame; then use this for your boxplots." + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "df_mean_by_month = df.groupby(['YEAR', 'MONTH'], as_index=False).mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Precipitation (mm)')" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Boxplot by month.\n", + "sns.boxplot(x='MONTH', y='PRCP', data=df_mean_by_month)\n", + "plt.xlabel('Month')\n", + "plt.ylabel('Precipitation (mm)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The distribution shows December was the wettest month (daily mean) overall. But it appears the wettest single month was in Feburary." + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Precipitation (mm)')" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Boxplot by year.\n", + "sns.boxplot(x='YEAR', y='PRCP', data=df_mean_by_month)\n", + "plt.xlabel('Year')\n", + "plt.ylabel('Precipitation (mm)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The distribution shows 2010, 2015, and 2018 had the higest median month precipitation (daily mean). However, 2018 has only January and February, which are wet months! Based on the outliers, 2010, 2016, and 2017 had the wettest months." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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YEARMONTHLATITUDELONGITUDEELEVATIONPRCPDAYDAY_OF_YEAR
962017232.8257-117.2501149.70.21642914.545.5
2220101232.8257-117.2501149.70.21451616.0350.0
112010132.8257-117.2501149.70.16967716.016.0
952017132.8257-117.2501149.70.16000016.016.0
9420161232.8257-117.2501149.70.15000016.0351.0
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" + ], + "text/plain": [ + " YEAR MONTH LATITUDE LONGITUDE ELEVATION PRCP DAY DAY_OF_YEAR\n", + "96 2017 2 32.8257 -117.2501 149.7 0.216429 14.5 45.5\n", + "22 2010 12 32.8257 -117.2501 149.7 0.214516 16.0 350.0\n", + "11 2010 1 32.8257 -117.2501 149.7 0.169677 16.0 16.0\n", + "95 2017 1 32.8257 -117.2501 149.7 0.160000 16.0 16.0\n", + "94 2016 12 32.8257 -117.2501 149.7 0.150000 16.0 351.0" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_mean_by_month.sort_values('PRCP', ascending=False).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Sorting our new DataFrame by precipitation and viewing the top few rows, we can see that the wettest two months were February 2017 and December 2010." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to Question E - Pivoting, stacking and unstacking" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "E1. Use pivot_table to produce a new DataFrame, where rows=years and columns=months, containing the mean precipitation of each month." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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YEAR
2009NaN0.0000000.0077420.0030000.0067740.0037040.0000000.0003230.0013330.0012900.0113330.101613
20100.1696770.0884620.0200000.0643330.0019350.0026670.0035480.0000000.0019230.0809680.0323330.214516
20110.0277420.0615380.0224140.0100000.0255170.0030000.0000000.0000000.0014290.0180650.1080000.039032
20120.0180650.0577780.0416130.0533330.0006450.0016670.0003230.0016130.0013330.0422580.0100000.121852
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" + ], + "text/plain": [ + "MONTH 1 2 3 4 5 6 7 \\\n", + "YEAR \n", + "2009 NaN 0.000000 0.007742 0.003000 0.006774 0.003704 0.000000 \n", + "2010 0.169677 0.088462 0.020000 0.064333 0.001935 0.002667 0.003548 \n", + "2011 0.027742 0.061538 0.022414 0.010000 0.025517 0.003000 0.000000 \n", + "2012 0.018065 0.057778 0.041613 0.053333 0.000645 0.001667 0.000323 \n", + "2013 0.047419 0.017143 0.038065 0.006000 0.016452 0.000333 0.001290 \n", + "2014 0.002258 0.037500 0.059032 0.018000 0.000000 0.000000 0.011290 \n", + "2015 0.016667 0.013571 0.032903 0.005333 0.040645 0.002000 0.044194 \n", + "2016 0.107419 0.015517 0.035161 0.018333 0.033226 0.000667 0.000000 \n", + "2017 0.160000 0.216429 0.008065 0.004667 0.036129 0.009667 0.000323 \n", + "2018 0.073548 0.013929 0.050968 0.002667 0.010645 0.000333 0.000000 \n", + "\n", + "MONTH 8 9 10 11 12 \n", + "YEAR \n", + "2009 0.000323 0.001333 0.001290 0.011333 0.101613 \n", + "2010 0.000000 0.001923 0.080968 0.032333 0.214516 \n", + "2011 0.000000 0.001429 0.018065 0.108000 0.039032 \n", + "2012 0.001613 0.001333 0.042258 0.010000 0.121852 \n", + "2013 0.000323 0.000000 0.011613 0.002857 0.010000 \n", + "2014 0.006452 0.018000 0.000000 0.019333 0.105333 \n", + "2015 0.001290 0.035667 0.033226 0.067333 0.038710 \n", + "2016 0.000968 0.015667 0.004839 0.042667 0.150000 \n", + "2017 0.000968 0.000476 0.000000 0.005667 0.004516 \n", + "2018 0.000000 0.000000 0.006207 0.000000 NaN " + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Using pivot_table to get the mean of each month in a table where rows=years and columns=months\n", + "precip = df.pivot_table(index='YEAR', columns='MONTH', values='PRCP', aggfunc='mean')\n", + "precip" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "E2. Draw a heatmap of years x months where each square is a month colored by mean precipitation. Adjust the colormap to highlight months with heavy precipitation. Hint: Seaborn's `heatmap()` function makes this very easy." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Heatmap colored by precipitation\n", + "fig, ax = plt.subplots(figsize=(9, 6))\n", + "sns.heatmap(precip, annot=False, fmt='f', linewidths=.5, ax=ax, cmap='Blues')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "E3. Stack the monthly precipitation table using `stack()`. View the values for 2017. Which month had the most precipitation in 2017? Describe the distribution statistics for all months using `describe()`. How many months are included in this dataset? What was the median month (daily average) value in this time period?" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "# stack precipitation pivot table by year-month indexes\n", + "precip_stack = precip.stack()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "MONTH\n", + "1 0.160000\n", + "2 0.216429\n", + "3 0.008065\n", + "4 0.004667\n", + "5 0.036129\n", + "6 0.009667\n", + "7 0.000323\n", + "8 0.000968\n", + "9 0.000476\n", + "10 0.000000\n", + "11 0.005667\n", + "12 0.004516\n", + "dtype: float64" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# daily average for 2017, month by month\n", + "precip_stack[2017]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "February had the most precipitation of any month in 2017." + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "count 118.000000\n", + "mean 0.027751\n", + "std 0.042921\n", + "min 0.000000\n", + "25% 0.001333\n", + "50% 0.010000\n", + "75% 0.037157\n", + "max 0.216429\n", + "dtype: float64" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# distribution statistics for mean daily averages by month\n", + "precip_stack.describe()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are 109 months in this dataset. The median month (daily average) value was 0.011 inches of precipitation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "E4. Use `unstack()` to stack precipitation pivot table by month and then year. View the values for December. Which year had the wettest December?" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "# (un)stack precipitation pivot table by month-year indexes\n", + "precip_unstack = precip.unstack()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "YEAR\n", + "2009 0.101613\n", + "2010 0.214516\n", + "2011 0.039032\n", + "2012 0.121852\n", + "2013 0.010000\n", + "2014 0.105333\n", + "2015 0.038710\n", + "2016 0.150000\n", + "2017 0.004516\n", + "2018 NaN\n", + "dtype: float64" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# daily average for December, year by year\n", + "precip_unstack[12]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The wettest December (by daily average) was in 2010." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "**Postscript:** Read more about [San Diego's odd 2010 weather](http://www.sandiegouniontribune.com/sdut-highlights-san-diegos-wild-and-weird-2010-weather-2011jan02-htmlstory.html)." + ] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.1" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/assignments/assignment8.md b/assignments/assignment8.md index 468a559..517f51c 100644 --- a/assignments/assignment8.md +++ b/assignments/assignment8.md @@ -24,7 +24,7 @@ For this assignment, we will use a file containing daily precipitation data in L #### C. Plot precipitation versus time 1. Use the Matplotlib function `plot()` to plot 'PRCP' versus 'DATE' as a line. -2. Plot 'PRCP' versus 'DATE' each year separately as a different colored line, with a legend indicating the year. Hint: use the 'YEAR' column you created in B3. +2. Plot 'PRCP' versus 'DATE' each year separately as a different colored line, with the x-axis going from the beginning to the end of the year, with a legend indicating the year. Hint: use the 'DAY_OF_YEAR' and 'YEAR' columns you created in B3. 3. Go back and recolor the two plots above: pick two colors from ColorBrewer or xkcd and draw your subplots again. 4. Replot the plots in a subplot with the two sets of axes in a 1x2 formation. @@ -38,7 +38,7 @@ For this assignment, we will use a file containing daily precipitation data in L #### E. Pivoting, stacking and unstacking -1. Use pivot_table to produce a new DataFrame, where rows=years and columns=months, containing the mean precipitation of each month. +1. Use `pivot_table()` to produce a new DataFrame, where rows=years and columns=months, containing the mean precipitation of each month. 2. Draw a heatmap of years x months where each square is a month colored by mean precipitation. Adjust the colormap to highlight months with heavy precipitation. Hint: Seaborn's `heatmap()` function makes this very easy. 3. Stack the monthly precipitation table using `stack()`. View the values for 2017. Which month had the most precipitation in 2017? Describe the distribution statistics for all months using `describe()`. How many months are included in this dataset? What was the median month (daily average) value in this time period? 4. Use `unstack()` to stack precipitation pivot table by month and then year. View the values for December. Which year had the wettest December? diff --git a/assignments/assignment9.md b/assignments/assignment9.md index ae3abcb..436b3c4 100644 --- a/assignments/assignment9.md +++ b/assignments/assignment9.md @@ -16,11 +16,12 @@ Complete the tasks below. Please turn in a single Jupyter notebook named `9_firs #### C. Stock data -1. Download historical stock data from the past three years for a stock of your choice (look up the symbol) and the S&P 500 index (symbol: 'SPX'). Use Panads timeseries operations to calculate the start and end dates. Morningstar seems to be the most reliable source of data (see pandas-datareader [docs](https://pydata.github.io/pandas-datareader/stable/remote_data.html)). However, note that using Morningstar will return a hierarchical index, where the first index is the stock symbol and the second index is the date. For example, to download stock data for Qualcomm and Illumina and see the data for Qualcomm, use these commands, where `start` and `end` are Pandas datatime objects: +1. Download historical stock data from the past three years for a stock of your choice (eligible symbols: [here](https://iextrading.com/trading/eligible-symbols/)) and the S&P 500 index (symbol: 'SPY'). Use Panads timeseries operations to calculate the start and end dates. IEX is currently a reliable source of data that does not require registration (see [pandas-datareader docs](https://pydata.github.io/pandas-datareader/stable/remote_data.html)). Note that using IEX will return a hierarchical column index, where the first column index is the price type ('open', 'high', 'low', 'close', 'volume') and the second column index is the symbol. You may also want to convert the index from string/object type to datetime type. For example, to download stock data for Qualcomm and Illumina and see the close data for Qualcomm, use these commands, where `start` and `end` are Pandas datatime objects: import pandas_datareader as pdr - quotes = pdr.data.DataReader(['QCOM', 'ILMN'], 'morningstar', start, end) - quotes.loc['QCOM'] + quotes = pdr.data.DataReader(['QCOM', 'ILMN'], 'iex', start, end) + quotes.set_index(pd.to_datetime(quotes.index), inplace=True) + quotes['close']['QCOM'] 2. Calculate the 52-week high and low for the past year for your stock and for the S&P 500. 3. Plot the price at close over the past three years of your stock and the S&P 500. Use a dual y-axis (using `twinx` like we learned in the Matplotlib lesson) to display the two prices side by side on separate scales. @@ -33,4 +34,4 @@ Complete the tasks below. Please turn in a single Jupyter notebook named `9_firs #### E. Final project proposal -1. The final project description is [here](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/assignments/final_project.md). Write a short paragraph describing your proposed idea for the final project: the dataset you want to use, what analysis you want to do, and what you hope your code will do and look like when you are done. I will provide feedback when I grade your assignment. If you would like feedback sooner, please email me directly. +The final project description is [here](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/assignments/final_project.md). Write a short paragraph describing your proposed idea for the final project: the dataset you want to use, what analysis you want to do, and what you hope your code will do and look like when you are done. I will provide feedback when I grade your assignment. If you would like feedback sooner, please email me directly. diff --git a/assignments/final_project.md b/assignments/final_project.md index 5fe9b6f..b87c571 100644 --- a/assignments/final_project.md +++ b/assignments/final_project.md @@ -1,6 +1,6 @@ ### Final Project -Choose a data set of your own or provided in one of the texts and write a Python program (or set of Python programs or mixture of .ipynb and .py/.sh scripts) to carry out a revealing data analysis. Have a look at Shaw Ex43-52 and McKinney Ch10-12 for more ideas. +Choose a data set of your own or provided in one of the texts and write a Python program (or set of Python programs or mixture of .ipynb and .py/.sh scripts) to carry out a revealing data analysis or create a software tool. Have a look at Shaw Ex43-52 and McKinney Ch10-12 for more ideas. The best projects will go beyond the examples used in the assignments and class to yield scientific insight via statistical analysis and/or visualization, or to create a useful software product. #### Requirements diff --git a/lessons/lesson18.ipynb b/lessons/lesson18.ipynb index 45df7a8..dc57f32 100644 --- a/lessons/lesson18.ipynb +++ b/lessons/lesson18.ipynb @@ -169,7 +169,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "* Customization: `logo`, `tools`, `toolbar_location`.\n", + "* Customization: `tools`, `toolbar_location`.\n", "* Lots more about tools [here](http://bokeh.pydata.org/en/latest/docs/user_guide/tools.html).\n", "* By the way, another useful glyph is `line`." ] @@ -180,7 +180,7 @@ "metadata": {}, "outputs": [], "source": [ - "p = figure(plot_width=500, plot_height=400, logo=None, \n", + "p = figure(plot_width=500, plot_height=400,\n", " tools='pan,wheel_zoom,box_zoom,lasso_select,reset,save',\n", " toolbar_location='below', toolbar_sticky=False) \n", "\n", @@ -220,23 +220,12 @@ "cell_type": "code", "execution_count": 6, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke.thompson/miniconda3/envs/python3/lib/python3.6/site-packages/pandas_datareader/google/daily.py:40: UnstableAPIWarning: \n", - "The Google Finance API has not been stable since late 2017. Requests seem\n", - "to fail at random. Failure is especially common when bulk downloading.\n", - "\n", - " warnings.warn(UNSTABLE_WARNING, UnstableAPIWarning)\n" - ] - } - ], + "outputs": [], "source": [ - "start = pd.datetime(2007, 6, 29) # the date the original iphone was released\n", + "start = pd.datetime(2014, 1, 1)\n", "end = pd.datetime.today()\n", - "aapl = pdr.data.DataReader('AAPL', 'google', start, end)\n", + "aapl = pdr.data.DataReader('AAPL', 'iex', start, end)\n", + "aapl.set_index(pd.to_datetime(aapl.index), inplace=True)\n", "# if this fails, check https://pydata.github.io/pandas-datareader/stable/remote_data.html for alternate sources" ] }, @@ -268,14 +257,14 @@ " \n", " \n", " \n", - " Open\n", - " High\n", - " Low\n", - " Close\n", - " Volume\n", + " open\n", + " high\n", + " low\n", + " close\n", + " volume\n", " \n", " \n", - " Date\n", + " date\n", " \n", " \n", " \n", @@ -285,57 +274,57 @@ " \n", " \n", " \n", - " 2007-06-29\n", - " 17.42\n", - " 17.71\n", - " 17.30\n", - " 17.43\n", - " 284032539\n", + " 2014-01-02\n", + " 72.8554\n", + " 73.0324\n", + " 72.3757\n", + " 72.5211\n", + " 58791957\n", " \n", " \n", - " 2007-07-02\n", - " 17.29\n", - " 17.44\n", - " 17.04\n", - " 17.32\n", - " 249049955\n", + " 2014-01-03\n", + " 72.4857\n", + " 72.5958\n", + " 70.8560\n", + " 70.9281\n", + " 98303870\n", " \n", " \n", - " 2007-07-03\n", - " 17.43\n", - " 18.20\n", - " 17.36\n", - " 18.17\n", - " 290620330\n", + " 2014-01-06\n", + " 70.4653\n", + " 71.6912\n", + " 69.9605\n", + " 71.3149\n", + " 103359151\n", " \n", " \n", - " 2007-07-05\n", - " 18.40\n", - " 19.00\n", - " 18.38\n", - " 18.96\n", - " 363262732\n", + " 2014-01-07\n", + " 71.3660\n", + " 71.5811\n", + " 70.5276\n", + " 70.8046\n", + " 79432766\n", " \n", " \n", - " 2007-07-06\n", - " 19.02\n", - " 19.05\n", - " 18.63\n", - " 18.90\n", - " 218623258\n", + " 2014-01-08\n", + " 70.6436\n", + " 71.5286\n", + " 70.6279\n", + " 71.2533\n", + " 64686685\n", " \n", " \n", "\n", "" ], "text/plain": [ - " Open High Low Close Volume\n", - "Date \n", - "2007-06-29 17.42 17.71 17.30 17.43 284032539\n", - "2007-07-02 17.29 17.44 17.04 17.32 249049955\n", - "2007-07-03 17.43 18.20 17.36 18.17 290620330\n", - "2007-07-05 18.40 19.00 18.38 18.96 363262732\n", - "2007-07-06 19.02 19.05 18.63 18.90 218623258" + " open high low close volume\n", + "date \n", + "2014-01-02 72.8554 73.0324 72.3757 72.5211 58791957\n", + "2014-01-03 72.4857 72.5958 70.8560 70.9281 98303870\n", + "2014-01-06 70.4653 71.6912 69.9605 71.3149 103359151\n", + "2014-01-07 71.3660 71.5811 70.5276 70.8046 79432766\n", + "2014-01-08 70.6436 71.5286 70.6279 71.2533 64686685" ] }, "execution_count": 7, @@ -362,7 +351,7 @@ "source": [ "p = figure(width=1000, height=500, x_axis_type='datetime')\n", "\n", - "p.line(aapl.index, aapl.Close, color='maroon', alpha=0.5)\n", + "p.line(aapl.index, aapl.close, color='maroon', alpha=0.5)\n", "\n", "p.xaxis.axis_label = 'Date'\n", "p.yaxis.axis_label = 'Price'\n", @@ -691,7 +680,7 @@ "\n", "
\n", " \n", - " Loading BokehJS ...\n", + " Loading BokehJS ...\n", "
" ] }, @@ -736,7 +725,7 @@ " var id = cell.output_area._bokeh_element_id;\n", " var server_id = cell.output_area._bokeh_server_id;\n", " // Clean up Bokeh references\n", - " if (id !== undefined) {\n", + " if (id != null && id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", " delete Bokeh.index[id];\n", " }\n", @@ -747,9 +736,11 @@ " cell.notebook.kernel.execute(cmd, {\n", " iopub: {\n", " output: function(msg) {\n", - " var element_id = msg.content.text.trim();\n", - " Bokeh.index[element_id].model.document.clear();\n", - " delete Bokeh.index[element_id];\n", + " var id = msg.content.text.trim();\n", + " if (id in Bokeh.index) {\n", + " Bokeh.index[id].model.document.clear();\n", + " delete Bokeh.index[id];\n", + " }\n", " }\n", " }\n", " });\n", @@ -774,7 +765,7 @@ " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", "\n", " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", - " toinsert[0].firstChild.textContent = output.data[JS_MIME_TYPE];\n", + " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", " // store reference to embed id on output_area\n", " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", " }\n", @@ -783,7 +774,7 @@ " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", " var script_attrs = bk_div.children[0].attributes;\n", " for (var i = 0; i < script_attrs.length; i++) {\n", - " toinsert[0].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", + " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", " }\n", " // store reference to server id on output_area\n", " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", @@ -802,7 +793,7 @@ " this.keyboard_manager.register_events(toinsert);\n", " // Render to node\n", " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", - " render(props, toinsert[0]);\n", + " render(props, toinsert[toinsert.length - 1]);\n", " element.append(toinsert);\n", " return toinsert\n", " }\n", @@ -858,7 +849,7 @@ " \"\"}};\n", "\n", " function display_loaded() {\n", - " var el = document.getElementById(\"e41a60f7-89e2-4a15-857f-d0e9572540cd\");\n", + " var el = document.getElementById(\"2776\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", @@ -912,13 +903,13 @@ " console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.getElementsByTagName(\"head\")[0].appendChild(s);\n", " }\n", - " };var element = document.getElementById(\"e41a60f7-89e2-4a15-857f-d0e9572540cd\");\n", + " };var element = document.getElementById(\"2776\");\n", " if (element == null) {\n", - " console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'e41a60f7-89e2-4a15-857f-d0e9572540cd' but no matching script tag was found. \")\n", + " console.log(\"Bokeh: ERROR: autoload.js configured with elementid '2776' but no matching script tag was found. \")\n", " return false;\n", " }\n", "\n", - " var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.14.min.js\"];\n", + " var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.0.1.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.0.1.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.0.1.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.0.1.min.js\"];\n", "\n", " var inline_js = [\n", " function(Bokeh) {\n", @@ -929,12 +920,12 @@ " \n", " },\n", " function(Bokeh) {\n", - " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.css\");\n", - " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.css\");\n", - " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.css\");\n", - " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.css\");\n", - " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.css\");\n", - " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.css\");\n", + " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-1.0.1.min.css\");\n", + " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-1.0.1.min.css\");\n", + " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.0.1.min.css\");\n", + " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.0.1.min.css\");\n", + " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-1.0.1.min.css\");\n", + " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.0.1.min.css\");\n", " }\n", " ];\n", "\n", @@ -951,7 +942,7 @@ " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", " root._bokeh_failed_load = true;\n", " } else if (force !== true) {\n", - " var cell = $(document.getElementById(\"e41a60f7-89e2-4a15-857f-d0e9572540cd\")).parents('.cell').data().cell;\n", + " var cell = $(document.getElementById(\"2776\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", "\n", @@ -968,7 +959,7 @@ " }\n", "}(window));" ], - "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"e41a60f7-89e2-4a15-857f-d0e9572540cd\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n }\n finally {\n delete root._bokeh_onload_callbacks\n }\n console.info(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(js_urls, callback) {\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = js_urls.length;\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n var s = document.createElement('script');\n s.src = url;\n s.async = false;\n s.onreadystatechange = s.onload = function() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.log(\"Bokeh: all BokehJS libraries loaded\");\n run_callbacks()\n }\n };\n s.onerror = function() {\n console.warn(\"failed to load library \" + url);\n };\n console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.getElementsByTagName(\"head\")[0].appendChild(s);\n }\n };var element = document.getElementById(\"e41a60f7-89e2-4a15-857f-d0e9572540cd\");\n if (element == null) {\n console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'e41a60f7-89e2-4a15-857f-d0e9572540cd' but no matching script tag was found. \")\n return false;\n }\n\n var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.14.min.js\"];\n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n \n function(Bokeh) {\n \n },\n function(Bokeh) {\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.css\");\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.css\");\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.css\");\n }\n ];\n\n function run_inline_js() {\n \n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }if (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n var cell = $(document.getElementById(\"e41a60f7-89e2-4a15-857f-d0e9572540cd\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(js_urls, function() {\n console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"2776\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n }\n finally {\n delete root._bokeh_onload_callbacks\n }\n console.info(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(js_urls, callback) {\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = js_urls.length;\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n var s = document.createElement('script');\n s.src = url;\n s.async = false;\n s.onreadystatechange = s.onload = function() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.log(\"Bokeh: all BokehJS libraries loaded\");\n run_callbacks()\n }\n };\n s.onerror = function() {\n console.warn(\"failed to load library \" + url);\n };\n console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.getElementsByTagName(\"head\")[0].appendChild(s);\n }\n };var element = document.getElementById(\"2776\");\n if (element == null) {\n console.log(\"Bokeh: ERROR: autoload.js configured with elementid '2776' but no matching script tag was found. \")\n return false;\n }\n\n var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.0.1.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.0.1.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.0.1.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.0.1.min.js\"];\n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n \n function(Bokeh) {\n \n },\n function(Bokeh) {\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-1.0.1.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-1.0.1.min.css\");\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.0.1.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.0.1.min.css\");\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-1.0.1.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.0.1.min.css\");\n }\n ];\n\n function run_inline_js() {\n \n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }if (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n var cell = $(document.getElementById(\"2776\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(js_urls, function() {\n console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" @@ -1026,9 +1017,12 @@ "data": { "text/html": [ "\n", - "
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\n", - "
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\",\"dtype\":\"float64\",\"shape\":[2000]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[2000]}},\"selected\":{\"id\":\"2823\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2824\",\"type\":\"UnionRenderers\"}},\"id\":\"2813\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"2778\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2794\",\"type\":\"BasicTicker\"}},\"id\":\"2797\",\"type\":\"Grid\"}],\"root_ids\":[\"2778\"]},\"title\":\"Bokeh Application\",\"version\":\"1.0.1\"}};\n", + " var render_items = [{\"docid\":\"89b0320b-bea8-4a16-905d-3166fab3775b\",\"notebook_comms_target\":\"2826\",\"roots\":{\"2778\":\"5815ff1a-ce9d-419e-b64a-219eeb8894b6\"}}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", "\n", " }\n", @@ -1056,7 +1050,7 @@ " }\n", " attempts++;\n", " if (attempts > 100) {\n", - " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n", + " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", " clearInterval(timer);\n", " }\n", " }, 10, root)\n", @@ -1067,7 +1061,7 @@ }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { - "id": "7b104e5a-1d5f-4f3a-ad83-8c114572eb1f" + "id": "2778" } }, "output_type": "display_data" @@ -1078,7 +1072,7 @@ "

<Bokeh Notebook handle for In[19]>

" ], "text/plain": [ - "" + "" ] }, "execution_count": 19, @@ -1095,10 +1089,24 @@ "execution_count": 20, "metadata": {}, "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "199f2fdb372347dbb634defd903c87be", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(Dropdown(description='f', options=('sin', 'cos', 'tan'), value='sin'), IntSlider(value=1…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 20, @@ -1186,17 +1194,17 @@ { "data": { "text/plain": [ - "array([[[ 1.75096624, 0.65556618, -0.10007329, 0.37582542],\n", - " [-2.00852604, 0.16424924, -0.08516157, -0.14118034],\n", - " [ 0.87047175, -0.95286499, 0.13297243, -1.34238875],\n", - " [ 0.72938221, 0.46707014, 0.19111334, 1.01504314],\n", - " [ 0.30068285, -0.66560047, -0.47830819, -0.32585423]],\n", - "\n", - " [[ 1.35961042, 0.5711701 , -0.93532469, 1.03414193],\n", - " [-1.018831 , -0.6969649 , -1.09888308, 0.11786802],\n", - 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"metadata": {}, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { @@ -1246,7 +1270,9 @@ { "cell_type": "code", "execution_count": 27, - "metadata": {}, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { @@ -1278,38 +1304,38 @@ " \n", " \n", " 1852-02-25\n", - " 1.750966\n", - " 0.655566\n", - " -0.100073\n", - " 0.375825\n", + " -0.248415\n", + " -0.288570\n", + " -0.409480\n", + " -0.379796\n", " \n", " \n", " 1852-02-26\n", - " -2.008526\n", - " 0.164249\n", - " -0.085162\n", - " -0.141180\n", + " -0.824783\n", + " 1.522348\n", + " 0.289270\n", + " 0.081235\n", " \n", " \n", " 1852-02-27\n", - " 0.870472\n", - " -0.952865\n", - " 0.132972\n", - " -1.342389\n", + " 0.917828\n", + " 0.609772\n", + " 0.495088\n", + " 0.863671\n", " \n", " \n", " 1852-02-28\n", - " 0.729382\n", - " 0.467070\n", - " 0.191113\n", - " 1.015043\n", + " -1.657873\n", + " 2.678971\n", + " -1.308250\n", + " -0.564518\n", " \n", " \n", " 1852-02-29\n", - " 0.300683\n", - " -0.665600\n", - 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"execution_count": 32, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -1700,7 +2017,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -1711,7 +2028,7 @@ " dtype='datetime64[ns]', freq='D')" ] }, - "execution_count": 33, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -1722,7 +2039,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -1753,23 +2070,23 @@ " \n", " \n", " A\n", - " 1.750966\n", - " 1.359610\n", + " -0.248415\n", + " -1.196178\n", " \n", " \n", " B\n", - " 0.655566\n", - " 0.571170\n", + " -0.288570\n", + " 1.026146\n", " \n", " \n", " C\n", - " -0.100073\n", - " -0.935325\n", + " -0.409480\n", + " 0.589669\n", " \n", " \n", " D\n", - " 0.375825\n", - " 1.034142\n", + " -0.379796\n", + " -0.142426\n", " \n", " \n", "\n", @@ -1777,13 +2094,13 @@ ], "text/plain": [ " Item1 Item2\n", - "A 1.750966 1.359610\n", - 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" 1.971403\n", - " -0.235664\n", - " 0.077498\n", - " -1.197783\n", + " -43.753302\n", + " -1.917122\n", + " -0.167169\n", + " -0.124676\n", " \n", " \n", " 1852-02-27\n", - " -0.657772\n", - " 5.388162\n", - " 0.051257\n", - " -2.306699\n", + " 0.393898\n", + " 1.802237\n", + " 96.127684\n", + " -1.974238\n", " \n", " \n", " 1852-02-28\n", - " -0.825889\n", - " -0.531547\n", - " 2.214477\n", - " 8.686845\n", + " -17.410024\n", + " 1.945769\n", + " -0.873793\n", + " 0.654863\n", " \n", " \n", " 1852-02-29\n", - " 0.152836\n", - " -0.701774\n", - " 1.179207\n", - " 0.825709\n", + " 1.311977\n", + " 4.387106\n", + " 0.550030\n", + " -0.350122\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D\n", - "1852-02-25 1.287844 1.147760 0.106993 0.363418\n", - "1852-02-26 1.971403 -0.235664 0.077498 -1.197783\n", - "1852-02-27 -0.657772 5.388162 0.051257 -2.306699\n", - "1852-02-28 -0.825889 -0.531547 2.214477 8.686845\n", - "1852-02-29 0.152836 -0.701774 1.179207 0.825709" + " A B C D\n", + "1852-02-25 0.207674 -0.281217 -0.694424 2.666627\n", + "1852-02-26 -43.753302 -1.917122 -0.167169 -0.124676\n", + "1852-02-27 0.393898 1.802237 96.127684 -1.974238\n", + "1852-02-28 -17.410024 1.945769 -0.873793 0.654863\n", + "1852-02-29 1.311977 4.387106 0.550030 -0.350122" ] }, - "execution_count": 39, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -2097,7 +2414,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.1" } }, "nbformat": 4, From 632b9d168b4322aa423a0878dc8ba0183dab68da Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 27 Nov 2018 17:32:57 -0800 Subject: [PATCH 64/78] minor update --- assignments/answers/assignment8_answers.ipynb | 2639 ----------------- 1 file changed, 2639 deletions(-) delete mode 100644 assignments/answers/assignment8_answers.ipynb diff --git a/assignments/answers/assignment8_answers.ipynb b/assignments/answers/assignment8_answers.ipynb deleted file mode 100644 index 2f17bc4..0000000 --- a/assignments/answers/assignment8_answers.ipynb +++ /dev/null @@ -1,2639 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Answers to Assignment 8 - Time Series and Group Operations\n", - "\n", - "Complete the tasks below. Please turn in a single Jupyter notebook named `8_first_last.ipynb` (substitute your first and last name). Please run Kernel > Restart & Run All on your notebook before turning in.\n", - "\n", - "#### Precipitation in La Jolla\n", - "\n", - "For this assignment, we will use a file containing daily precipitation data in La Jolla from February 2009 to November 2018, which were downloaded from [NOAA](https://www.ncdc.noaa.gov/cdo-web/datasets/GHCND/stations/GHCND:US1CASD0030/detail) using \"standard\" (imperial) units (inches for precipitation, feet for elevation). Download the file from [GitHub](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/la_jolla_precip_daily.csv).\n", - "\n", - "#### A. Set up the file\n", - "\n", - "1. Import the CSV file as a Pandas DataFrame with default header and index.\n", - "2. Change the 'DATE' column to timestamps using `pd.datetime()`. Alternatively, import the csv file with `parse_dates` set to the columns you want to parse as datetime.\n", - "3. What was the maximum daily precipitation (in inches) during this time period and when was it?\n", - "\n", - "#### B. Explore the dataset\n", - "\n", - "1. We don't need the columns 'SNOW' and 'SNOW_ATTRIBUTES' because there was no recorded snow in the dataset. Delete those columns \"in place\".\n", - "2. Find out about the sampling stations. Notice that the column values are similar between rows except 'DATE' and 'PRCP'. Explore these other columns using three different commands (we haven't covered them yet, but they are easy to use and you can always google them): \n", - " - Use the `value_counts()` method for each of these columns: 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION'. There should only be one cateogory for each calculation because all the data come from the same station. To see what output looks like for a more diverse series, use the `value_counts()` method on 'PRCP' and 'PRCP_ATTRIBUTES'.\n", - " - Make a DataFrame with just the columns 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION' and use the method `drop_duplicates()` to see all the unique combinations of values in those five columns. \n", - " - Create a groupby object using `groupby('STATION')`, then use the `count()` method on that groupby object to count the number of values for each station.\n", - "3. Create columns for 'YEAR', 'MONTH', 'DAY', and 'DAY_OF_YEAR'. Hint: use attributes such as the `.year` attribute, or use a regular expression, with a list comprehension.\n", - "\n", - "#### C. Plot precipitation versus time\n", - "\n", - "1. Use the Matplotlib function `plot()` to plot 'PRCP' versus 'DATE' as a line.\n", - "2. Plot 'PRCP' versus 'DATE' each year separately as a different colored line, with the x-axis going from the beginning to the end of the year, with a legend indicating the year. Hint: use the 'DAY_OF_YEAR' and 'YEAR' columns you created in B3.\n", - "3. Go back and recolor the two plots above: pick two colors from ColorBrewer or xkcd and draw your subplots again.\n", - "4. Replot the plots in a subplot with the two sets of axes in a 1x2 formation.\n", - "\n", - "#### D. Plot distributions of the precipitation data\n", - "\n", - "1. Plot a histogram of precipitation values using the Matplotlib function `hist()`.\n", - "2. Plot a histogram with kernel density and rugplot with the Seaborn function `distplot()`. Play around with the settings to make a histogram that represents the data well.\n", - "3. Add columns to the DataFrame for year and month. Hint: You can do this with list comprehension and the datetime attributes `year` and `month`.\n", - "4. Use groupby to group the data by year or by month. Which year was the rainiest? Which month was the rainiest?\n", - "5. Make boxplots by year and by month using the Seaborn function `boxplot()`. Hint: If you make a boxplot of your DataFrame without grouping, the boxplots will be centered on zero, because there are so many days with zero precipitation. Instead, use groupby to group the data by year *and* month (use a list containing these columns), set `as_index=False`, average over those groups, and save this as a new DataFrame; then use this for your boxplots.\n", - "\n", - "#### E. Pivoting, stacking and unstacking\n", - "\n", - "1. Use `pivot_table()` to produce a new DataFrame, where rows=years and columns=months, containing the mean precipitation of each month.\n", - "2. Draw a heatmap of years x months where each square is a month colored by mean precipitation. Adjust the colormap to highlight months with heavy precipitation. Hint: Seaborn's `heatmap()` function makes this very easy.\n", - "3. Stack the monthly precipitation table using `stack()`. View the values for 2017. Which month had the most precipitation in 2017? Describe the distribution statistics for all months using `describe()`. How many months are included in this dataset? What was the median month (daily average) value in this time period?\n", - "4. Use `unstack()` to stack precipitation pivot table by month and then year. View the values for December. Which year had the wettest December?" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "%matplotlib inline" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "sns.set(context='notebook', style='whitegrid')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_palette(sns.color_palette('Paired', 12))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Answer to Question A - Set up the file" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A1. Import the csv file as a Pandas DataFrame with default header and index." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# By default, the index will start with zero and the header will be the first row of the csv file.\n", - "df = pd.read_csv('../../data/la_jolla_precip_daily.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", - "0 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "1 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "2 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "3 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "4 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "\n", - " DATE PRCP PRCP_ATTRIBUTES SNOW SNOW_ATTRIBUTES \n", - "0 2009-02-18 0.0 ,,N 0.0 ,,N \n", - "1 2009-02-19 0.0 ,,N 0.0 ,,N \n", - "2 2009-02-20 0.0 ,,N 0.0 ,,N \n", - "3 2009-02-21 0.0 ,,N 0.0 ,,N \n", - "4 2009-02-22 0.0 ,,N 0.0 ,,N " - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# It's always good to take a quick look at your DataFrame.\n", - "df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "STATION object\n", - "NAME object\n", - "LATITUDE float64\n", - "LONGITUDE float64\n", - "ELEVATION float64\n", - "DATE object\n", - "PRCP float64\n", - "PRCP_ATTRIBUTES object\n", - "SNOW float64\n", - "SNOW_ATTRIBUTES object\n", - "dtype: object" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# check dtypes\n", - "df.dtypes" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A2. Change the 'DATE' column to timestamps using `pd.datetime()`." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "df['DATE'] = pd.to_datetime(df['DATE'])" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "STATION object\n", - "NAME object\n", - "LATITUDE float64\n", - "LONGITUDE float64\n", - "ELEVATION float64\n", - "DATE datetime64[ns]\n", - "PRCP float64\n", - "PRCP_ATTRIBUTES object\n", - "SNOW float64\n", - "SNOW_ATTRIBUTES object\n", - "dtype: object" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# check dtypes again\n", - "df.dtypes" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Alternatively, import the csv file with `parse_dates` set to the columns you want to parse as datetime." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "df = pd.read_csv('../../data/la_jolla_precip_daily.csv', parse_dates=['DATE'])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A3. What was the maximum daily precipitation (in inches) during this time period and when was it?" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "3.35" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df['PRCP'].max()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The maximum rainfall over this period was 3.35 inches." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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663US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72010-12-223.35,,NNaNNaN
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" - ], - "text/plain": [ - " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", - "663 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "\n", - " DATE PRCP PRCP_ATTRIBUTES SNOW SNOW_ATTRIBUTES \n", - "663 2010-12-22 3.35 ,,N NaN NaN " - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# One way to get information about the maximum precipitation date.\n", - "df[df['PRCP'] == df['PRCP'].max()]" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "STATION US1CASD0030\n", - "NAME LA JOLLA 2.1 SE, CA US\n", - "LATITUDE 32.8257\n", - "LONGITUDE -117.25\n", - "ELEVATION 149.7\n", - "DATE 2010-12-22 00:00:00\n", - "PRCP 3.35\n", - "PRCP_ATTRIBUTES ,,N\n", - "SNOW NaN\n", - "SNOW_ATTRIBUTES NaN\n", - "Name: 663, dtype: object" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Another way to get information about the max precipitation value.\n", - "df.loc[df['PRCP'].idxmax()]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The max precipitation occurred on Dec 22, 2010." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Answer to Question B - Explore the dataset" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "B1. We don't need the columns 'SNOW' and 'SNOW_ATTRIBUTES' because there was no recorded snow in the dataset. Delete those columns \"in place\"." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "# Delete these columns because there wasn't any recorded snow.\n", - "df.drop(['SNOW', 'SNOW_ATTRIBUTES'], axis=1, inplace=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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STATIONNAMELATITUDELONGITUDEELEVATIONDATEPRCPPRCP_ATTRIBUTES
0US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-180.0,,N
1US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-190.0,,N
2US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-200.0,,N
3US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-210.0,,N
4US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-220.0,,N
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" - ], - "text/plain": [ - " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", - "0 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "1 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "2 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "3 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "4 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "\n", - " DATE PRCP PRCP_ATTRIBUTES \n", - "0 2009-02-18 0.0 ,,N \n", - "1 2009-02-19 0.0 ,,N \n", - "2 2009-02-20 0.0 ,,N \n", - "3 2009-02-21 0.0 ,,N \n", - "4 2009-02-22 0.0 ,,N " - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Check the DataFrame again.\n", - "df.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "B2. Find out about the sampling stations. Notice that the column values are similar between rows except 'DATE' and 'PRCP'. Explore these other columns using three different commands (we haven't covered them yet, but they are easy to use and you can always google them): " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Use the `value_counts()` method for each of these columns: 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION'. There should only be one cateogory for each calculation because all the data come from the same station. To see what output looks like for a more diverse series, use the `value_counts()` method on 'PRCP' and 'PRCP_ATTRIBUTES'." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "# These columns refer to the stations where data was collected.\n", - "columns = ['STATION', 'NAME', 'LATITUDE', 'LONGITUDE', 'ELEVATION']" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "US1CASD0030 3514\n", - "Name: STATION, dtype: int64 \n", - "\n", - "LA JOLLA 2.1 SE, CA US 3514\n", - "Name: NAME, dtype: int64 \n", - "\n", - "32.8257 3514\n", - "Name: LATITUDE, dtype: int64 \n", - "\n", - "-117.2501 3514\n", - "Name: LONGITUDE, dtype: int64 \n", - "\n", - "149.7 3514\n", - "Name: ELEVATION, dtype: int64 \n", - "\n" - ] - } - ], - "source": [ - "# Count the times each value was observed in each column.\n", - "for column in columns:\n", - " print(df[column].value_counts(), '\\n')" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.00 3011\n", - "0.01 110\n", - "0.02 68\n", - "0.03 38\n", - "0.04 25\n", - "0.07 20\n", - "0.05 16\n", - "0.08 15\n", - "0.06 12\n", - "0.12 9\n", - "0.16 8\n", - "0.09 8\n", - "0.25 8\n", - "0.13 7\n", - "0.17 6\n", - "0.10 6\n", - "0.34 6\n", - "0.63 5\n", - "0.14 5\n", - "0.24 5\n", - "0.18 4\n", - "0.20 4\n", - "0.35 4\n", - "0.30 4\n", - "0.15 4\n", - "0.27 4\n", - "0.38 4\n", - "0.19 3\n", - "0.41 3\n", - "0.11 3\n", - " ... \n", - "0.76 1\n", - "1.50 1\n", - "2.00 1\n", - "1.18 1\n", - "3.35 1\n", - "1.23 1\n", - "0.48 1\n", - "1.34 1\n", - "0.55 1\n", - "2.02 1\n", - "0.83 1\n", - "0.46 1\n", - "0.87 1\n", - "0.40 1\n", - "1.37 1\n", - "0.84 1\n", - "0.51 1\n", - "0.58 1\n", - "0.36 1\n", - "1.55 1\n", - "0.81 1\n", - "0.93 1\n", - "0.64 1\n", - "1.10 1\n", - "0.54 1\n", - "0.67 1\n", - "2.45 1\n", - "0.47 1\n", - "0.26 1\n", - "0.23 1\n", - "Name: PRCP, Length: 89, dtype: int64 \n", - "\n", - ",,N 3245\n", - "T,,N 269\n", - "Name: PRCP_ATTRIBUTES, dtype: int64 \n", - "\n" - ] - } - ], - "source": [ - "for column in ['PRCP', 'PRCP_ATTRIBUTES']:\n", - " print(df[column].value_counts(), '\\n')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The results are pretty boring when all columns have the same values. The last two examples have more variation." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Make a DataFrame with just the columns 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION' and use the method `drop_duplicates()` to see all the unique combinations of values in those five columns. " - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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STATIONNAMELATITUDELONGITUDEELEVATION
0US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.7
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" - ], - "text/plain": [ - " STATION NAME LATITUDE LONGITUDE ELEVATION\n", - "0 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df[columns].drop_duplicates()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This shows the unique combinations of these five columns. All rows have the same values." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Create a groupby object using `groupby('STATION')`, then use the `count()` method on that groupby object to count the number of values for each station." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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NAMELATITUDELONGITUDEELEVATIONDATEPRCPPRCP_ATTRIBUTES
STATION
US1CASD00303514351435143514351435143514
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" - ], - "text/plain": [ - " NAME LATITUDE LONGITUDE ELEVATION DATE PRCP PRCP_ATTRIBUTES\n", - "STATION \n", - "US1CASD0030 3514 3514 3514 3514 3514 3514 3514" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "grouped_station = df.groupby('STATION')\n", - "grouped_station.count()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Groupby combined with count gives us information about the number of values in each column for a given value of 'STATION'. Here they are all the same." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "B3. Create columns for 'YEAR', 'MONTH', 'DAY', and 'DAY_OF_YEAR'. Hint: use attributes such as the `.year` attribute, or use a regular expression, with a list comprehension." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "# We can add columns for year, month, day, and day of year.\n", - "df['YEAR'] = [x.year for x in df.DATE]\n", - "df['MONTH'] = [x.month for x in df.DATE]\n", - "df['DAY'] = [x.day for x in df.DATE]\n", - "df['DAY_OF_YEAR'] = [x.dayofyear for x in df.DATE]" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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STATIONNAMELATITUDELONGITUDEELEVATIONDATEPRCPPRCP_ATTRIBUTESYEARMONTHDAYDAY_OF_YEAR
0US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-180.0,,N200921849
1US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-190.0,,N200921950
2US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-200.0,,N200922051
3US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-210.0,,N200922152
4US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-220.0,,N200922253
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" - ], - "text/plain": [ - " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", - "0 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "1 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "2 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "3 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "4 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "\n", - " DATE PRCP PRCP_ATTRIBUTES YEAR MONTH DAY DAY_OF_YEAR \n", - "0 2009-02-18 0.0 ,,N 2009 2 18 49 \n", - "1 2009-02-19 0.0 ,,N 2009 2 19 50 \n", - "2 2009-02-20 0.0 ,,N 2009 2 20 51 \n", - "3 2009-02-21 0.0 ,,N 2009 2 21 52 \n", - "4 2009-02-22 0.0 ,,N 2009 2 22 53 " - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Answer to Question C - Plot precipitation versus time" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "C1. Use the Matplotlib function `plot()` to plot 'PRCP' versus 'DATE' as a line." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(1, 2, figsize=(12,5))\n", - "\n", - "title = ['matplotlib black', 'xkcd indigo']\n", - "color = ['k', sns.xkcd_rgb['indigo']]\n", - "\n", - "for i in [0, 1]:\n", - " ax[i].plot(df['DATE'], df['PRCP'], color[i])\n", - " ax[i].set_title(title[i])\n", - " ax[i].set_xlabel('Date')\n", - " ax[i].set_ylabel('Precipitation (inches)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In response to the later part of the question, we are coloring two different ways, displayed as subplots. We can put everything in a for loop!" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "C2. Plot 'PRCP' versus 'DATE' each year separately as a different colored line, with the x-axis going from the beginning to the end of the year, with a legend indicating the year. Hint: use the 'DAY_OF_YEAR' and 'YEAR' columns you created in B3." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# colormap #1\n", - "fig, ax = plt.subplots()\n", - "for year in df.YEAR.unique():\n", - " dfx = df[df.YEAR == year]\n", - " ax.plot(dfx.DAY_OF_YEAR, dfx.PRCP, label=year)\n", - "ax.set_xlabel('Day of year')\n", - "ax.set_ylabel('Precipitation (inches)')\n", - "ax.legend()" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# colormap #2\n", - "with sns.color_palette(\"hls\", 12):\n", - " fig, ax = plt.subplots()\n", - " for year in df.YEAR.unique():\n", - " dfx = df[df.YEAR == year]\n", - " ax.plot(dfx.DAY_OF_YEAR, dfx.PRCP, label=year)\n", - " ax.set_xlabel('Day of year')\n", - " ax.set_ylabel('Precipitation (inches)')\n", - " ax.legend()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "C3. Go back and recolor the two plots above: pick two colors from ColorBrewer or xkcd and draw your subplots again. Replot the plots in a subplot with the two sets of axes in a 1x2 formation." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For year-by-year lines, first we colored using the 12-color 'Paired' colormap, specified at the start of the notebook. Then we temporarily changed the colormap to the 12-color 'hls' colormap. Note: I couldn't get two different colormaps in the same subplot! I think this is because the colormap is defined with the subplots are created." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "C4. Replot the plots in a subplot with the two sets of axes in a 1x2 formation." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Answer to Question D - Plot distributions of the precipitation data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "D1. Plot a histogram of precipitation values using the Matplotlib function `hist()`." - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Matplotlib histogram\n", - "fig, ax = plt.subplots()\n", - "ax.hist(df['PRCP'], bins=50)\n", - "ax.set_xlabel('Daily precipitation (inches)')\n", - "ax.set_ylabel('Day counts');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This basic histogram shows that most days have zero precipitation, but not much else." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "D2. Plot a histogram with kernel density and rugplot with the Seaborn function `distplot()`. Play around with the settings to make a histogram that represents the data well." - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/luke/miniconda3/envs/python3/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" - ] - }, - { - "data": { - "image/png": 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PYvjw4SXmvfHGG0YJQ0RElkfvEcW4ceMQGRmJvLw8tGvXTpqv0+nQqlUrk4QjIiLz01sovv32W2RkZGDGjBlYtGjRv2+wsoKrq6tJwhERkfnpLRQODg5wcHDA+vXroVKpkJubK3VsP3z4EM7OziYLSURE5mPwhrstW7Zg4cKFUKvVUqHgVU9ERM8Pg4Xi+++/x+bNm9GyZUtT5CEiIgtj8KqnGjVqsEgQET3HDBaKbt26YdOmTUhJSanUndlZWVkYPHgwEhMTSyxbtWoVevfuDT8/P/j5+SEkJKRi6YmIyOgMnnpau3YtVCoV5s2bJ80rbx/FxYsXMWvWLNy6davU5VFRUfjqq6/Qtm3b8icmIiKTMlgoLl26VOnGt23bhjlz5uDjjz8udXlUVBSCg4ORlJSEjh07Ytq0abCxsan09oiI6MkzeOpJp9Phu+++w5gxYzBy5EisWrUKGo2mXI0vWLAAHTp0KHVZdnY2mjdvjqCgIOzcuRMPHz7E6tWrK5aeiIiMTiYKr3nVY+nSpYiJicHIkSOh0+mwdetWvPDCC5g5c2a5N/LSSy9h/fr1qFu3rt51rly5ghkzZmDXrl0G28vPz0dUVFS5t2/JrOyccTry3/6bLq3qQpPLsbSIyHi8vLwqdPbG4KmnEydOYMeOHVAqlQCAXr164ZVXXql8wn8kJycjLCwMAQEBAAqenGdlZTBOMRX9sJbo4pXr8KjvIU3XcneDm0sjMyayHBEREWjfvr25Y1gc7hf9uG/0i4iIgJeXV6X+yDZ46kkIIRUJALC2ti42XVm2trZYunQpEhISIIRASEgIXn755cdul4iIniyDhaJZs2ZYuHAh4uPjkZCQgEWLFsHT07PSG5wwYQIiIyPh4uKCefPm4b333kP//v0hhMCbb75Z6XaJiMg4DJ7rmTNnDubPn48RI0ZAp9OhW7du+PTTTyu0kdDQUOn1d999J7329fWFr69vhdoiIiLTMlgoHBwcsHjxYlNkISIiC2SwUJw5cwZr167FgwcPis3fvn270UIREZHlMFgoZs2ahTFjxqB+/fqmyENERBbGYKGoXr06xo4da4osRERkgQwWipdeegkhISHo3r17sfscateubdRgRERkGQwWivT0dHz11Vews7OT5slkMpw/f96owYiIyDIYLBRHjx7FyZMnUaNGDVPkISIiC2Pwhrvq1avDxcXFFFmIiMgCGTyi8PT0xKhRo9C7d29YW1tL83kXNRHR88FgocjLy0PDhg31PnyIiIiebQYLxaJFi0yRg4iILJTBPgoiInq+sVAQEVGZ9BaKkJAQAEBCQoLJwhARkeXRWyg2bNgAIQQCAwNNmYeIiCyM3s7shg0bwtvbGxqNBu3atZPmCyF4ZzYR0XNEb6H49ttvcefOHUyYMAFr1641ZSYiIrIgek89yeVy1K5dG9u2bQMAnD17FmFhYdBqtahTp47JAhIRkXkZvOrp/PnzGD58OA4fPow//vgDw4cPx5EjR0yRjYiILIDBG+5WrFiBjRs3onHjxgCAa9euISgoCH379jV6OCIiMj+DRxRqtVoqEgDQpEkTaLVao4YiIiLLYbBQ2NraIjIyUpqOjIws9mwKIiJ6thk89RQUFIRJkybBw8MDMpkMN27cwIoVK0yRjYiILIDBQtGhQwfs3bsXFy9ehE6ng7e3N6pVq2aKbEREZAEMFgoAcHZ2Rs+ePY2dhYiILBAHBSQiojKxUBARUZnKVShUKhUePHiAjIwM6ac8srKyMHjwYCQmJpZYFh0dDX9/f/j6+mLmzJnQaDQVS05ERCZhsFBs3rwZHTp0QJcuXeDj4yP915CLFy9i5MiReh+hGhQUhNmzZ+PgwYMQQkhDhRARkWUxWCjWrVuHzZs3Izo6GtHR0YiJiUF0dLTBhrdt24Y5c+bAzc2txLKkpCTk5eXB29sbAODv748DBw5UIj4RERmbwaueatSogZYtW1a44QULFuhdlpqaCldXV2na1dUVKSkpFd4GEREZn8FC0a1bN2zatAl9+vSBjY2NNN/Z2bnSG9XpdJDJZNJ04TMuKioqKqrSGSyFlZ0z4uLjpOlaVbVIuFm+PqDnQUREhLkjWCTuF/24b/Sr7HemwUKxdu1aqFQqzJs3T5onk8nKdfpJH3d3d9y9e1eavnfvXqmnqAzx8vIqVryeRhevXIdHfQ9pupa7G9xcGpkxkeWIiIhA+/btzR3D4nC/6Md9o19ERAS8vLwqVSwMFopLly5VKlRZ6tSpAxsbG+mXunv3bvTo0eOJb4eIiB6fwc5snU6H7777DmPGjMHIkSOxatWqSl/KOmHCBGmAwWXLlmHRokXo378/cnJyMHbs2Eq1SURExmXwiOLLL79ETEwMxo0bB51Oh61bt2Lx4sWYOXNmuTYQGhoqvf7uu++k182aNcP27dsrEZmIiEzJYKE4ceIEduzYAaVSCQDo1asXXnnlFaMHIyIiy2Dw1JMQQioSAGBtbV1smoiInm0GC0WzZs2wcOFCxMfHIyEhAYsWLYKnp6cpshERkQUwWCjmzJmDBw8eYMSIEXj11Vdx//59fPrpp6bIRkREFsBgH4WDgwMWL15siixERGSB9BaKDz74ACtWrMCQIUNKXb5nzx6jhSIiIsuht1BMmDABAHiaiYjoOae3UHh5eQEAdu3ahYULFxZbFhgYiE6dOhk3GRERWQS9hWLOnDlISUlBREQE0tLSpPkajQYJCQkmCUdEROant1AEBATg2rVruHr1Knx9faX5CoVCeo4EERE9+/QWilatWqFVq1bo2rUr3N3dTZmJiIgsiMHLY+fOnVvq/P/+979POgsREVkgg4Wi6GkntVqNgwcPSh3dRET07DNYKIYNG1ZiesyYMUYLRERElsXgEB6PEkIgNTXVGFmIiMgCGTyimDRpUrHp2NhY3kNhJPcf5CLqxn04pWTCvXoV1HVzNHckIqKK9VHIZDKMHDkS3bp1M2qo502+SouTF5MQE5cuzZPLAF+fBnijf3M42VubMR0RPe/K1UeRnp6O//3vf7CyskKbNm2gUChMke25kHg3B5sPJyAnT412Td3Qp2M9KK3kOBN1BwfCb+H4hSRMG9sBbT3dzB2ViJ5TBvsojh07hv79+2PdunVYvXo1Bg4ciHPnzpki2zMvIzMfIUfiIZcBw3s3gU+rWqhX0xEPslRo1sAFr/f1hEIuw5L1fyEhJdPccYnoOWWwUKxYsQIbN27Exo0bsXnzZgQHB2PRokWmyPZM02p1WLrxL+TmazGga0PUdKlSYp3qVe3wSvcXIJfLMDs4DHfTc82QlIiedwYLhUwmQ5MmTaTpli1bQghh1FDPg5CDMbj09z280rU2XJ3t9K5X1cEGU0e0Q06+Bl+sPwutVmfClEREZRSKjIwMZGRkwMvLC+vWrUN2djZyc3MREhKCLl26mDLjMycxNRM7jv6NPh3roZ1nNYPr13a1x9gBzREbn4Gf9l5BaloOMnNUJkhKRFRGZ3aXLl0gk8mko4elS5dKy2QyGaZNm2b8dM+on/degY1SgfGDWiIuIdHg+vlqLRQKOZrUc8Zvx6/D2koO3y4N4FiFV0MRkfHpLRQxMTGmzPHcuHzjPk5H3cEbA5rB2dEGcRV4b4+2dZB8NwuHz8WjT8f6RstIRFSU3kKxe/du+Pn54ccffyx1+Ztvvmm0UM8qIQR+/P0yXJxs4dejUYXfb2tthV7t62HvqZs4dCYO4we3NEJKIqLi9BaKuLiCv3VjY2NNFuZZdy46BVfj0jHlVW/YWhu8haVUDWo5oWFtJ/x+8iYGd3sBNcroCCciehL0flsFBgYCAGrUqIGPPvrIZIGeZb8e/Ruu1ezQp2O9x2qnW5va2HI4Fj/suYyPx3R4QumIiEpXrhvu6PHFxqfj8o37eKV7I1gpKjwWYzFO9jYY4NMAJ/6XhEt/331CCYmISmfw/EfdunXx1ltvoV27drC3t5fml6ePYs+ePVizZg00Gg3GjRuH0aNHF1u+atUq7NixA05OTgCA1157rcQ6z4qdx/6Gva0V+nV+Mp3QA3wa4MzlO/jvr5FY+VGvxy4+RET6GCwUzs7OAICkpKQKNZySkoLly5fj119/hbW1NUaMGIHOnTujcePG0jpRUVH46quv0LZt2wrGfrrcuZ+NsEvJGNqzMarYKp9Im9ZKBd4d2grzfziD30/ewNCejQ2/iYioEgwWij59+qBv377F5u3atctgw2FhYejSpYtUaHx9fXHgwAFMmTJFWicqKgrBwcFISkpCx44dMW3aNNjY2FT0M1i8PSduQCaTYUj3F55oux1b1ESH5jWx6eBV9GhbF0orOXLzNNJyO1sr3mtBRI9Nb6EIDQ2FRqPBkiVLIISQbrzTaDT45ptvMHTo0DIbTk1NhaurqzTt5uaGS5cuSdPZ2dlo3rw5goKC4OHhgenTp2P16tWYOnVqucNHRUWVe11zUWl0OHj6NprXs0Xc9Ssl7puwsnNGXPy/c+tUVxab1jevVlUtEm5mwKexDBeuavDlzyfwWp8XcDry3xv4urSqC01uxhP/TKYUERFh7ggWiftFP+4b/Sr7nam3UERHR+P06dO4f/8+1q9f/+8brKwwfvx4gw3rdDrIZDJpWghRbNre3h7fffedNP3WW29hxowZFSoUXl5eFn8EcvD0LeSrkzFmSHu0aFi9xPKLV67Do76HNO3g4FBsWt+8Wu5ucHMpuBcjNTcaW4/EYoDKtth6Rdd5GkVERKB9+/bmjmFxuF/0477RLyIiAl5eXpUqFnoLxeTJkzF58mSEhIRUqoPZ3d0df/31lzR99+5duLn9+0yF5ORkhIWFISAgAEBBIbGyqty9BZZKCIF9p26hQS0nNG/gYrTtBPRpgtCIBIQcjMGQbgWjzRIRPSkGL5Xp168f/vjjDwDAsmXLMG7cuHIN79G1a1eEh4cjLS0Nubm5OHToEHr06CEtt7W1xdKlS5GQkAAhBEJCQvDyyy8/xkexPFfj0nEj+QEGvtiw2NHUk2ZrbYV3XvFCYmoWom7cM9p2iOj5ZLBQfPLJJ0hISEB4eDiOHz8OPz8/fP755wYbrlmzJqZOnYqxY8di6NChGDx4MFq3bo0JEyYgMjISLi4umDdvHt577z30798fQohnbliQvWE3YWdjhV7t6hp9Wz6taqFFQxecuXwH2Xlqo2+PiJ4fBs/1ZGRkYPz48Vi8eDEGDx4Mf39/hISElKvxIUOGYMiQIcXmFe2X8PX1LfZM7mfJg6x8nPxfMny7eMDOxvin1GQyGUb7NsPsteH483wiBvg0MPo2iej5YPCIQq1WQ61W48SJE+jatStyc3ORk5NjimxPtSNn46HR6jCgawOTbdO9uj06e7njZvJDxMY/3Vc7EZHlMFgo+vTpAx8fH1SrVg1eXl549dVXMXjwYFNke2ppdQL7w2/Bq1F1eLg7mXTbbZq4wr16FZz4XxLSM/NMum0iejYZLBSBgYH4/fffpUtkly1bhsmTJxs92NPswtVUpKTlYGDXhibftlwmQ58O9aHR6rDut8t8dCoRPbZKPY8iPDz8met4fpL2nrqJao426OJVyyzbd3a0QY+2dXA0IhEb9kc/kedWZOaoit31DfDOb6LnBZ9H8YTduZ+NiJgUvNbXE0or8w3U16Jhdeh0AjuO/o0m9avhxda1H6u93DwNzl9NLTavXVM3Fgqi54DB51EsWrTIZGGeBfvDbkEmk8G3cwNzR8HIfs1w534Ovt58Hi6Otmje0Hg3/RHRs6vMP3kPHz6MESNGoG3btujatSvGjx+P48ePmyrbUyc3X4ODZ+Lg06oWXKuZ/8lzSis5Zr7ZCS5Otpj7fThi49PNHYmInkJ6C8X+/fuxdOlSvPHGG/jll1+wYcMG6Wa7Q4cOmTLjUyP0rwRk56rh19344ytptDqkpuUU+8lXa0usV83JFgveexFO9taYvTYcMbfSSqyTmaMq1k5mjsro+Yno6aH31NP69evx008/oXbtf89tN2rUCN7e3pgxYwb69etnkoBPC51OYM+J6/Cs74xmDaoZfXv5ai0u/V18uI6mHqVvt4azHRZMehGz/huGT1afxIShrTDAp4E0rMij/Q/seyCiovQeUWRnZxcrEoXMu1VvAAAZzklEQVQaNmyI/Px8o4Z6Gp2/moqku9l4pXsjo47rVFluLlXw1f/1QJsmrliz4xKWhUQg/SHvsyAiw/QeUSgUCr1vKnw2Bf1r95/X4eJkixfbPN7VRcbkUMUas9/ugq1HYrHtyFWcu5KCES97okPzmuaORkQW7Nka19tMYuLS8L9rdzF+UAuLf3a1XC7DyH5N0bNtHXz/WxR+/P0KthyOhWd9ZzRv4AIXJ1tzRyQiC6O3UFy9ehXt2rUrMV8IAZWKnZ1FbTl0FU721hj4ounvxK6s2q4OmP12F0TfTMP20Fj8FZ2Ci9fuwdnBBn8nPkCbxjXQqK6zdC9IaR3lRPR80FsoDh8+bMocT63Y+HRExKRi7MDmJhkl9klr3tAFE4e1RssXknAj6QGuJz3AkXPxOHQmDlYKOeq42qNeTUf0aFunxFMKiej5oPebrU6dOqbM8dTafOgqHKsoMegpOpooTRVbJbwa1YBXoxrwqOWIYxGJSEjJREJKFuLuJOPkxWQ42ClRr6YjGtd1Rl03B3NHJiITefr+BLYgV+PS8Fd0Ct4Y0AxVbJXmjvPE2FpboWHtqmhYuyoA4GG2CmqNFueupOB6Ygaib6XBzsYKsfHp6N+1AZrWr8YjDaJnGAtFJel0AsE7I+HiZIMh3V4wdxyjcrK3RlOPaqhe1Q4arQ7xdzIRG5+OPy8k4Y+/ElCrhj0Gdm2Ivp3qQwhRbPBADhxI9PRjoaikI+ficS0hAx+OavdMHU0YYqWQ44U6VfFCnapo5lENfyc+wKEzcVj3WxQ2HohGl5buqFXDHtWrFgxhwpv3iJ5+LBSVkJWrxvp9V9C8gYtJnodtqarYKtG3U3307VQf1xMzsPfUTRw7nwi1Roc6rg5o3aQGvJu4mjsmET0my77o30L9vPcKMrNVmOTf+rHPzc9aF4Vvt1+UfvaF3cTaXZH4ee8V7Dz2N85evoN9YTel6cKffWE3AUCaPnv5DuasDcfPe68AAM5evoPdx69L29l0MKbYdh+dPnv5jvTZ9oXdlNostGLrBZy9fAdnL98ptqywnUZ1nRH4elv06VAPPl618CArH/vDbmHiF0ew68/ryM5V690HRbMUfX300oNy7cNPvj1Z5vJHP+uTsulgTInshdPG2qaxVSS3sdZ9Eoyxvaf1d/oksFBU0KmLyTgQfgt+PRvjhTpVn3j7B8LjoNbokJWrRvK9bJyLTsGB8DhpuvDnQHjB80IKp89FpyA9Mx9Z/3whn4tOwW8nbkjtbj50tdh2Hp0+F50CoOBo6UB4nNRmoeuJD3AuOgXnolOKLXu0nQOn49CumRvGDGgOANAJYN1vUXhz/kGs3n4RsfHpJe7sL9pG0dd/RmWWa59F3bhf5vJHMz4pmw9dLZG9cNpY2zS2iuQ21rpPgjG297T+Tp8EnnqqgNv3srFy2wU0rV8NYwc2N3cciyaX/3uk9elbnfHHuXj8cS4e+8NvoV5NR/h28UCvdnVR1cHmsbZTONJtalqONM+YHeilPenvXkYOdEWeOFs0C9GzgIWinHLzNViy4RxkMhmCxnSw+KE6LEnawzy0beqGFi9Ux7WEDMTfeYjvd0fhp98vw6tRDQBASloOarpUqXDbhV/aphr9trQn/WXmqHE17t9nfTy6nOhpx0JRDrn5Gnz2/WncSH6ImW92qtQXGgE2SgW8XqiOsQOaIzdfg6MRCTjzT1/HOwsOw8PdEQBw9sodNK1v/KHaiah8WCgMyMvXYN6604i+eR//b3QHdGrhbu5IzwSPWk4YP7glxg9uiSEf7cbbr7TE2cspADIxf90Zab2vNkXAs3411Hd3RP2aTnB2fLxTVURUcSwUZbiZ/ABLN/6FpNQsfDiqPbq35bAmxjK0Z2MM7dkYQz7ajUXvv4iYuHT8vPcKLly9i6MRidJ6TvbWqFfTEXXdHOBe3V4aXytPpYGttfH/Oet0Ann5Gqi1/3ZK3Eh6gNv3sqVpTZFlRM8CFopS5Ku12HvyBjYeiIGDnRKfvesDb083c8eqlKIdq6lpOZDLIXW8Fi6r7MiwhV+IFe28LXyMa1FFO4TdqlWBe/Uq+HnvFSwL7I6MzHwk38vG3YwcpKbnIv5OJk5H3caDrH9HMV7322XYKBVwcrBG2KVkVHOyhbODjdRZ/ndCBmxtFLCzsYKttRVsrRUQANQaHVRqLTRaHfLVWjzMUiE9Mw/pmfnIyMxH2sM8pD/MR9rD3ILXmfl49HEsX2+5UGw6eGckAGDK0lBUc7KFq7MdPGo5oUk9Z9Sr6WhRNyCW1jmfmaMymLE8FxE82nZqWo7R79S3tXeWMj3u9krbN88roxaKPXv2YM2aNdBoNBg3bhxGjx5dbHl0dDRmzpyJ7OxsdOjQAZ999hmsrMxXu9Iz83AsIhG/HvsbGZn56NTCHYGvez/2lTnmVLRj9fzVVDT1qCZ1vBYu0/cIVUMKC0xFO29Le4xr0Q7hwpwAcCH2rrROr3b14FakfygnT43om2mY+/1pdG1dCw+zVXiYpULyvWxcuZlWrABO/frPin04ADJZwRGMi5MtXJxs0bB2VdhaK5CemQ+llVw60nlveGskpmRhz8mCy5E7t3THmct3IADE38lE1PX7xY4ynB1tUP+fo6L6NR1Rz90R9Wo6wtnBxuRjZpXWOZ+bp4FjFeuCoyeVBvkqLTRaAa1OB61OQKvV4W56LgBgf/gtKOQyKOQytG5cA+417GGlkENpJcfDLBUu/X1X+kznr6Ya/U59je7ff4+Pu73S9s3zymjfyikpKVi+fDl+/fVXWFtbY8SIEejcuTMaN24srRMUFITPP/9ceg73tm3bMGrUKGNFKkanE0jPzMPN5If4OzED/4u9iys370MIoHXjGpg2poN0RQ5Zpiq2BaPZAkDbIkd8hcVQrdEhJ0+NjQdiMPPNTsjL1yBXpUVevgZ5+RrI5TIoreRQWimgtJLDWilHVQcbODvYoJqTLaraW0PxyNVtqWk50pdHYaFo3sAF8iJf8B2a18SZy3ekMcCEEPBwd0JOvuafEXkzEZ+SiWPnE5FT5C/WwtF567s7oq5bQSFxdrCBo701HKsoYWdjVe5CIoRAvkqL7Dw1cvI0yMlTIztPg9w8DbLz1MjOVSM7T4176blIvJuFfJUWqn8K67RVJ5Cr0iI3Tw2dgYdZbg+9Jr3eVMp9BjIZoPxnH248EI3fTtyAg50SttYK2NoUHNnZWlvB5p//PjpfqZQDouDzCKDI0ZyAEIBOCOh0AjpR8P90XGI60nMK9lHU9XvIyMxHFTurgnV1hev+86MraFAul0Eul0Emk0Euk/0zDWTnqJF0NwsymQyFu/1YRAKslQrYWCtg889/rZX/vrb55/Wj/26edkYrFGFhYejSpQucnZ0BAL6+vjhw4ACmTJkCAEhKSkJeXh68vb0BAP7+/li5cmW5CkXhDVuVeYBSUmoWVu+4hHsZOdAW/l8gA+q6OuAN3yZo36ymNIS2KZ4N7myv/5GzhsihLfX9RefLoZW2I4cWWo1aWl64TKtRS9OPtlf0/Y8q+r6in+fR9xRdXvi+R9/zaK7S2taoVcjPL55Do1aVWK+wLRsrwMbBCs72CrRt4lLqPiyLRqOG5pEzDxq1qsTnK5q98PMWyyQrWLdRHQe0esFZaksIgYysfNy+l43ke1m4fS8HyfeycfnvFJyJTMSjFHIZ7GysoBNa2B47AoVMBrm84AtJq9NBo9VBq9VBrRXIV2shDH3LywpGClbIAaWVAg62CjjbK9C6UTU4O9qgiq0V7GyUsFHKoVDIoZAXbE8hB3JyNdhwIBq92teFEAJarUCtGg6wtVZAq9NBrRF4kJWP5HtZ0GgEYuLS0MC9oE9JCECl1uJBZj5S1TqoVBrkq3VSoXoSnO0VuBh7Bxdj7xheuQJtrtt9sVzrKuQyWCsL/gBRKhVQ/nOUpbSSQ6lQwEopg7Wi4I8UhaLgiKywIMlkMkAGyFEwrftn/xb8fgUgA/x6NKrU1ZeF35kVfZy1TBjpAdjBwcHIycnB1KlTAQC//PILLl26hPnz5wMALly4gCVLlmDz5s0AgLi4OLz77rs4ePCgwbYzMzMRGxtrjNhERM88T09PODo6lnt9ox1R6HS6YofJjz4dzdDystjb28PT0xNKpZLPQSAiKichBNRqNezt7Sv0PqMVCnd3d/z111/S9N27d+Hm5lZs+d27/3ZU3rt3r9jyssjl8gpVQyIiKmBra1vh9xitx6Vr164IDw9HWloacnNzcejQIfTo0UNaXqdOHdjY2CAiIgIAsHv37mLLiYjIMhitjwIouDw2ODgYarUaAQEBmDBhAiZMmIDAwEC0atUKMTExmDVrFrKystCyZUssWrQI1taWc405EREZuVAQEdHT79m62JeIiJ44FgoiIioTCwUREZWJhYKIiMrEQmEme/bswcCBA9GvXz+EhISYO45FWbVqFQYNGoRBgwZhyZIl5o5jcRYvXozp06ebO4bFCQ0Nhb+/PwYMGIDPP//c3HEsxu7du6X/nxYvXly5RgSZ3J07d0Tv3r1Fenq6yM7OFkOGDBHXrl0zdyyLcOrUKfH666+L/Px8oVKpxNixY8WhQ4fMHctihIWFic6dO4tp06aZO4pFiY+PF926dRO3b98WKpVKjBw5Uhw7dszcscwuJydHdOzYUdy/f1+o1WoREBAgTp06VeF2eERhBkUHTKxSpYo0YCIBrq6umD59OqytraFUKtGoUSMkJyebO5ZFyMjIwPLlyzFp0iRzR7E4hw8fxsCBA+Hu7g6lUonly5ejTZs25o5ldlqtFjqdDrm5udBoNNBoNLCxqfhjE1gozCA1NRWurq7StJubG1JSUsyYyHI0adJEGlH41q1b2L9/P3r27GnmVJZh9uzZmDp1KpycnMwdxeLExcVBq9Vi0qRJ8PPzw6ZNm1C1alVzxzI7BwcHfPDBBxgwYAB69uyJOnXqoF27dhVuh4XCDB5nQMTnxbVr1/DWW2/h448/RoMGDcwdx+x++eUX1KpVCz4+PuaOYpG0Wi3Cw8OxcOFCbN26FZcuXcLOnTvNHcvsYmJisGPHDhw9ehQnTpyAXC7HunXrKtwOC4UZPDog4qMDJj7vIiIiMH78eHz00UcYNmyYueNYhH379uHUqVPw8/PDypUrERoaioULF5o7lsWoUaMGfHx84OLiAltbW/Tt2xeXLl0ydyyzO3nyJHx8fFC9enVYW1vD398fZ8+erXA7LBRmYGjAxOfZ7du3MXnyZCxbtgyDBg0ydxyL8eOPP+L333/H7t27ERgYiJdeegkzZswwdyyL0bt3b5w8eRIPHz6EVqvFiRMn0LJlS3PHMrtmzZohLCwMOTk5EEIgNDQUrVq1qnA75ntA9XOsZs2amDp1KsaOHSsNmNi6dWtzx7II69atQ35+Pr744gtp3ogRIzBy5EgzpiJL16ZNG7zzzjsYNWoU1Go1XnzxRQwfPtzcscyuW7duuHLlCvz9/aFUKtGqVSu8++67FW6HgwISEVGZeOqJiIjKxEJBRERlYqEgIqIysVAQEVGZWCiIiKhMLBRUpsTERDRt2hRvvPFGiWXTp09H06ZNkZaWVun2V61ahSNHjkjt6btr9HG38yStWLECu3btKnOdP/74QxrB9NixY1ixYoXBdouuV/T9T8qmTZuwdetWpKSkYMSIEZVu56WXXkJkZOQTyRQVFYVPP/30ibRFxsP7KMggGxsb3Lx5E0lJSahTpw4AICcnB+fPn3/sts+cOYPGjRs/djum9MEHHxhcp0+fPujTpw8AIDIyEg8ePDD4nqLrFX3/k5CUlISdO3di27ZtkMlk2LJlyxNr+3F4eXkhJCQER48eRe/evc0dh/RgoSCDFAoFBgwYgD179kgjlx46dAh9+vTBDz/8IK23detWbNiwAXK5HDVq1MCnn36Khg0bYvr06XBwcMDVq1dx584dNG3aFIsXL8auXbsQFRWFJUuWQKFQAAAuXLiAESNG4N69e2jSpAm+/PJLVKlSRdrGm2++iQEDBuC1114DAKxevRoZGRkl7lJu0aIFJkyYgBMnTiAnJwcffvgh+vXrh19//RXbt29Hbm4uHBwcsGHDBvzyyy/YvHkzdDodnJ2d8emnn6JRo0bIzs7G559/jvPnz0OhUKBv376YOnUqPvnkEzRp0gRvv/12mds5ePAg3n//fWzZsgVarRaOjo6YOHEi5s6di7i4OGRkZMDe3h7Lli1DZmZmsfU8PDxw8OBBBAcH486dO5g7dy6SkpIghMDQoUPxzjvvIDExEePHj0fPnj1x8eJFPHz4EEFBQXj55ZdL/A6Dg4Ph5+cHmUyGxMREDBkyBBcuXMA333yDpKQk3L17F0lJSahZsyaWLl0KNzc33Lx5E7Nnz0ZaWhrkcjnee+89DBw4UPpdz5kzB2lpafDz88PUqVMBFDwTYs2aNVCr1bC1tcW0adPQtm1bXL9+HTNnzoRKpYIQAgEBARg9ejQA4PXXX8fcuXNZKCzZEx38nJ45CQkJwtvbW0RGRor+/ftL88eNGyeuXr0qPD09xf3790VYWJjo27evuH//vhBCiB07dogBAwYInU4npk2bVuwZE0OHDhXbt28XQgjxxhtviP379wshhJg2bZoICAgQOTk5QqPRiGHDhomdO3cKIYS0ncOHD4vhw4cLIYTQarWid+/e4vr16yVye3p6ijVr1gghhIiOjhbt27cX9+/fFzt27BAdO3YUmZmZQgghzpw5I0aNGiVycnKEEEKcOHFC+pwLFy4UU6dOFRqNRuTn54vRo0eL06dPi2nTponvv//e4HbeffddIYQQK1euFJ999pkQQoj9+/eL+fPnSzk//fRTMW/evBLrFX3/6NGjxQ8//CCEEOLhw4diyJAh4vfffxcJCQnC09NThIaGCiGEOHDggOjVq1eJfaHT6UTnzp1FQkJCsd9p4Tb79Okj7Y+JEyeKFStWCCGEGDp0qNi4caMQQojk5GRpvd69e0uZU1NThZeXl0hOThY3b94UgwcPFmlpaUIIIWJjY8WLL74osrOzxSeffCKCg4Ol9/zf//2f0Gq1Usa2bduK+Pj4EtnJMvCIgsrFy8sLCoUCUVFRqF69OrKzs+Hp6SktP3HiBAYOHAgXFxcAgL+/PxYsWIDExEQAQPfu3WFtbQ0A8PT01Hsqpm/fvrCzswNQMOT4o/0SvXv3xoIFCxATE4OUlBTUrVsXL7zwQqltFfarNGvWDJ6enjh37hyAgv4OBwcHAAX9AnFxccXO2T98+BAZGRkICwvDJ598AoVCAYVCgY0bNwJAiVFJ9W2nNP3790e9evWwYcMGxMXF4ezZs2jbtq3e9QtP8RUeuTk6OsLf3x/Hjx9HmzZtoFQqpWHYW7RogYyMjBJtpKenIzMzE3Xr1i11G506dZL2R4sWLfDgwQNkZGQgJiYGr776KgCgVq1aUl8SAAwePBhAwfNDatSogfv37+PixYtITU3F+PHjpfVkMhni4+Px8ssvY9q0abh06RJ8fHwwa9YsyOX/dpHWrVsXN2/eRL169fTuCzIfFgoqt1deeQW//fYbXFxc4OfnV2yZTqcrsb4QAhqNBgBga2srzZfJZBB6Ro6xsrIqcz2FQoHXX38d27dvR2pqapmdsoWnswrzFU4XPZWl0+ng5+eHoKAgaTo1NRVVq1aFlZVVseHfb9++XexzGNpOaTZt2oRt27Zh9OjRGDJkCJydnaViWhqdTldiH+h0Omm/KpVK6QtX31D1hftRp9MV+3IuVNrvpvD3ULTNGzduoHbt2gBK/z3pdDr4+Pjg66+/lpbdvn0bbm5uaNasGQ4ePIiwsDCEh4fj22+/xa+//gp3d3epvbL2G5kXr3qicvPz88OBAwewb98+6S/KQt27d8e+ffukI4AdO3bA2dkZHh4eZbapUCikL73yevXVV3HkyBFcvny51PPxhQqvTLp8+TJu3ryJjh07llinW7du2Lt3L1JTUwEAmzdvxrhx4wAAPj4+2LlzJ3Q6HVQqFQIDA0s9WjC0naKf8eTJkxg2bBheffVVNGzYEKGhodBqtXr3hYODA9q0aSM9Vz0zMxO7du1C165dDe+of1SrVg1OTk5ISkoq93scHBzQsmVL6bPdvn0bI0eORGZmpt73+Pj44NSpU7h+/ToA4M8//8Qrr7yCvLw8fPTRR9i3bx8GDRqEOXPmwMHBAfHx8QAK/qBITk5Gw4YNy52PTItHFFRuNWvWRKNGjeDo6AhnZ+diy1588UWMHz8e48aNg06ng4uLC4KDg0v9C7aol156CV999RXUanW5c1SvXh1eXl5o1KgRlEql3vXOnz+Pbdu2QafTYfny5aU+8axbt26YMGEC3nrrLchkMjg4OGDVqlWQyWSYMmUKFixYAD8/P2i1WgwcOBD9+vVDaGhohbbTpUsX/L//9/8wf/58vPXWW5g9eza2b98OAPD29kZsbGyJ9YoOkb1s2TLMmzcPv/76K1QqFYYMGQJ/f/8KffH369cPJ06cwKhRo8r9ni+//BKfffYZNmzYAJlMhgULFhR7MuOjGjdujHnz5uHDDz+UjkrWrFkDe3t7vP/++5g5cya2bt0qXRhQWFAjIyNRv3596WiFLA9Hj6WnTlpaGgICAhASEoJatWqVuk7Tpk0RHh4u9ZkYi6m287gSEhLwwQcfYMeOHRb3NMXp06ejf//+6NWrl7mjkB489URPlW3btmHgwIF4++239RYJKqlevXoYOnSoxdw/USgqKgoymYxFwsLxiIKIiMrEIwoiIioTCwUREZWJhYKIiMrEQkFERGVioSAiojKxUBARUZn+P/iSyB3twgTKAAAAAElFTkSuQmCC\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Seaborn distplot\n", - "sns.distplot(df.groupby(['YEAR', 'MONTH']).sum().PRCP, color='b', bins=50, rug=True, kde=True)\n", - "plt.xlabel('Monthly precipitation (inches)')\n", - "plt.ylabel('Distribution of months (not counts)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here we are plotting the sum for each month using groupby and sum. Distplot gives us the histogram plus a kernel density estimate and rugplot." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "D3. Add columns to the DataFrame for year and month. Hint: You can do this with list comprehension and the datetime attributes `year` and `month`." - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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STATIONNAMELATITUDELONGITUDEELEVATIONDATEPRCPPRCP_ATTRIBUTESYEARMONTHDAYDAY_OF_YEAR
0US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-180.0,,N200921849
1US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-190.0,,N200921950
2US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-200.0,,N200922051
3US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-210.0,,N200922152
4US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-220.0,,N200922253
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" - ], - "text/plain": [ - " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", - "0 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "1 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "2 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "3 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "4 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", - "\n", - " DATE PRCP PRCP_ATTRIBUTES YEAR MONTH DAY DAY_OF_YEAR \n", - "0 2009-02-18 0.0 ,,N 2009 2 18 49 \n", - "1 2009-02-19 0.0 ,,N 2009 2 19 50 \n", - "2 2009-02-20 0.0 ,,N 2009 2 20 51 \n", - "3 2009-02-21 0.0 ,,N 2009 2 21 52 \n", - "4 2009-02-22 0.0 ,,N 2009 2 22 53 " - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# We added `year` and `month` above. We also added `day` and `dayofyear`.\n", - "df.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "D4. Use groupby to group the data by year or by month. Which year was the rainiest? Which month was the rainiest?" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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YEARLATITUDELONGITUDEELEVATIONPRCPMONTHDAYDAY_OF_YEAR
4201332.8257-117.2501149.70.0127556.50137715.688705182.214876
0200932.8257-117.2501149.70.0134397.32165616.006369207.334395
9201832.8257-117.2501149.70.0155955.65594915.418006156.167203
5201432.8257-117.2501149.70.0228576.51098915.678571182.500000
2201132.8257-117.2501149.70.0260226.56582615.647059184.137255
6201532.8257-117.2501149.70.0277756.54120915.760989183.500000
3201232.8257-117.2501149.70.0280006.47777815.627778182.272222
7201632.8257-117.2501149.70.0356566.51366115.756831183.500000
8201732.8257-117.2501149.70.0370226.46348315.966292181.331461
1201032.8257-117.2501149.70.0572146.52367715.841226183.036212
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" - ], - "text/plain": [ - " YEAR LATITUDE LONGITUDE ELEVATION PRCP MONTH DAY \\\n", - "4 2013 32.8257 -117.2501 149.7 0.012755 6.501377 15.688705 \n", - "0 2009 32.8257 -117.2501 149.7 0.013439 7.321656 16.006369 \n", - "9 2018 32.8257 -117.2501 149.7 0.015595 5.655949 15.418006 \n", - "5 2014 32.8257 -117.2501 149.7 0.022857 6.510989 15.678571 \n", - "2 2011 32.8257 -117.2501 149.7 0.026022 6.565826 15.647059 \n", - "6 2015 32.8257 -117.2501 149.7 0.027775 6.541209 15.760989 \n", - "3 2012 32.8257 -117.2501 149.7 0.028000 6.477778 15.627778 \n", - "7 2016 32.8257 -117.2501 149.7 0.035656 6.513661 15.756831 \n", - "8 2017 32.8257 -117.2501 149.7 0.037022 6.463483 15.966292 \n", - "1 2010 32.8257 -117.2501 149.7 0.057214 6.523677 15.841226 \n", - "\n", - " DAY_OF_YEAR \n", - "4 182.214876 \n", - "0 207.334395 \n", - "9 156.167203 \n", - "5 182.500000 \n", - "2 184.137255 \n", - "6 183.500000 \n", - "3 182.272222 \n", - "7 183.500000 \n", - "8 181.331461 \n", - "1 183.036212 " - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.groupby(['YEAR'], as_index=False).mean().sort_values('PRCP')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Answer: The rainiest year was 2010. " - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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MONTHLATITUDELONGITUDEELEVATIONPRCPYEARDAYDAY_OF_YEAR
7832.8257-117.2501149.70.0011942013.50000016.000000228.200000
5632.8257-117.2501149.70.0023912013.54545515.444444166.646465
6732.8257-117.2501149.70.0060972013.50000016.000000197.200000
8932.8257-117.2501149.70.0079302013.45614015.954386259.164912
4532.8257-117.2501149.70.0171432013.51623415.912338136.113636
3432.8257-117.2501149.70.0185672013.50000015.500000105.700000
91032.8257-117.2501149.70.0199352013.47077916.016234289.217532
2332.8257-117.2501149.70.0316562013.51623415.96428675.165584
101132.8257-117.2501149.70.0324192013.16245515.115523319.332130
1232.8257-117.2501149.70.0550972013.85714314.95752945.957529
0132.8257-117.2501149.70.0693882013.99640316.05395716.053957
111232.8257-117.2501149.70.0867152013.01094915.806569350.018248
\n", - "
" - ], - "text/plain": [ - " MONTH LATITUDE LONGITUDE ELEVATION PRCP YEAR DAY \\\n", - "7 8 32.8257 -117.2501 149.7 0.001194 2013.500000 16.000000 \n", - "5 6 32.8257 -117.2501 149.7 0.002391 2013.545455 15.444444 \n", - "6 7 32.8257 -117.2501 149.7 0.006097 2013.500000 16.000000 \n", - "8 9 32.8257 -117.2501 149.7 0.007930 2013.456140 15.954386 \n", - "4 5 32.8257 -117.2501 149.7 0.017143 2013.516234 15.912338 \n", - "3 4 32.8257 -117.2501 149.7 0.018567 2013.500000 15.500000 \n", - "9 10 32.8257 -117.2501 149.7 0.019935 2013.470779 16.016234 \n", - "2 3 32.8257 -117.2501 149.7 0.031656 2013.516234 15.964286 \n", - "10 11 32.8257 -117.2501 149.7 0.032419 2013.162455 15.115523 \n", - "1 2 32.8257 -117.2501 149.7 0.055097 2013.857143 14.957529 \n", - "0 1 32.8257 -117.2501 149.7 0.069388 2013.996403 16.053957 \n", - "11 12 32.8257 -117.2501 149.7 0.086715 2013.010949 15.806569 \n", - "\n", - " DAY_OF_YEAR \n", - "7 228.200000 \n", - "5 166.646465 \n", - "6 197.200000 \n", - "8 259.164912 \n", - "4 136.113636 \n", - "3 105.700000 \n", - "9 289.217532 \n", - "2 75.165584 \n", - "10 319.332130 \n", - "1 45.957529 \n", - "0 16.053957 \n", - "11 350.018248 " - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.groupby(['MONTH'], as_index=False).mean().sort_values('PRCP')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Answer: The rainiest month was December. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "D5. Make boxplots by year and by month using the Seaborn function `boxplot()`. Hint: If you make a boxplot of your DataFrame without grouping, the boxplots will be centered on zero, because there are so many days with zero precipitation. Instead, use groupby to group the data by year *and* month (use a list containing these columns), set `as_index=False`, average over those groups, and save this as a new DataFrame; then use this for your boxplots." - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "df_mean_by_month = df.groupby(['YEAR', 'MONTH'], as_index=False).mean()" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'Precipitation (mm)')" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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VmDVrFpYtW4aGhga0traabFiv1xsVmvalcE3p7Dhznne98vJyaDQamPHyRNFoNDhy5IgkbRMRXU+hUKC/uzRL2ioUim59l5n8hs3IyMD//d//4e6778bs2bNx8OBB/O1vfzPZcGBgIA4fPmx4XF1dDX9/f5PP8/HxgUajgU6ng1wuN/t51wsJCYG3tzeazRjXIYa3tzdCQ0MlaZuI6Hre3t6ol7Dt0NBQNDc3o7y83OLnmzyFtWXLFsN0JnPnzsWmTZtQUFBgsuHJkyejtLQUarUajY2NKC4uRnh4uMnnKRQKjB8/3hAjNzfXrOcREZFtSTYSPSAgAGlpaUhOToZWq0VSUhJGjRqFhQsXIjU1FSNHjuzyuStWrEB6ejo2b96MAQMG4OWXXxbx0oiISEqSjkSPj49HfHy80bZt27Z1OG7NmjVGj4OCgrBjxw6zYhARUc/gSHQiIhLF5HogXQ3i43ogRES9G9cDISIiUUyuBzJr1ixcvnwZhw8fhouLC373u9/B29vbZgkSEZF9Mnkb7/79+xEZGYmcnBy88cYbiIiIwJdffmmL3IiIyI6ZHEiYlZWFnTt3Ijg4GADw448/Yvny5dizZ4/kyTmDoqKiDuNm1P+Zf8bHx6fD8bGxsYiOjrZJbkRE3WGygPTp08dQPABgxIgRFk8tQsZqa2sBdF5AiIgchckCEh4ejq1bt2L+/PmQy+XIzc3F0KFDcfXqVQiCYDRGhDqKjo7u0KNoX089Ozu7J1IiIrIKkwVk27Zt0Ol0HUaD5+XlQSaT4dixY5IlR0RkTTU1NcjMzERGRoZTLvBkayYLyI8//miLPIiIJJeTk4OysjLk5OTg6aef7ul0HF6XBSQvLw8JCQnYvn17p/v/8Ic/SJYUEZG11dTUoLCwEIIgoLCwEEqlkr2QbuqygJw9exYAcOLECZslQ0QklZycHAiCAKBtvSL2QrqvywLSfqF39erVOHToECZMmIArV67g8OHDePDBB22WIBGRNezfvx9arRZA26zixcXFLCDdZHIgYVZWluFuoaamJmzdurXL+bGIiOxVREQEFAoFgLZ1hyIjI3s4I8dnsoB8/PHHeOuttwC0rTK4c+dOsxaUIiKyJ0ql0jCGzcXFBUqlsoczcnwmC4hWqzVUbaCtcnMgIRE5Gl9fX8TExEAmkyEmJoYX0K3A5G2848aNwzPPPIOkpCTIZDLk5uZi9OjRtsiNiMiqlEolKisr2fuwEpMF5Pnnn8err76K1atXw9XVFZMmTcLixYttkRsRkVX5+vpi48aNPZ2G0zBZQDw9PfHXv/4VV69exa233mqLnIiIyAGYvAZy+vRpxMbGIi4uDiqVCjExMTh16pQtciMiIjtmsoCsXLkSy5YtQ//+/REQEID58+fjhRdesEVuRERkx0wWkCtXruCee+4xPJ43bx7q6uokTYqIiOyfyQICAM3NzYZbd6urq6HX6yVNioiI7J/Ji+iPPPIIHnvsMdTW1mLDhg3497//jZSUFFvkRkREdsxkAZk9ezYGDRqETz/9FK2trfjb3/5mdEqL6EZcc4F6o964fLXJAqJUKpGTk4MJEybYIh9yAlxzgaiNsy9fbbKAaDQaNDQ0wNPT0xb5kIPjmgvUW/XG5atNFhAPDw/cf//9CA4ONioif//73yVNjBwT11wg6j1MFpCkpCRb5EFOgmsuEPUeNy0gJ06cQN++fTF69GgEBATYKidyYBERESgoKDDM4sw1F4icV5cF5MMPP8TatWsxcOBAnDt3Dhs2bMCUKVNsmZtDyc7ORkVFhVnHnjx5EsCv50dNueuuu8w+tqcplUoUFhYC4JoLRM6uywKyY8cO5OfnIyAgAN9++y2ysrJYQG6ioqIC3/5wFHpP03dbyHRtb/uRU7+YPNalQW12Dp3dRgjY9lbC9jUX9u7dyzUXiJzcTU9htZ+2Gjt2LC5fvmyThByZ3tMHTXfHWbXNPkc/6nYbtr6VkGsuEPUOXRaQG1cdlMvlkidD3dPZbYSA7W8l5JoLRL2DWXNhAR0LClFXampq8OSTTxp6PkTknLrsgRw/fhzjxo0zPG5qasK4ceMgCAJkMhm++eYbmyRIjocj0Yl6hy4LyP79+22ZBzkJjkQn6j26PIUVFBR00//MkZ+fj9jYWERGRuKdd97psP/YsWNITExEVFQUli1bhtbWVgDAnj17MGXKFCQkJCAhIQFZWVkiXx7ZWmcj0YnIOZl9DcRSKpUKWVlZePfdd5Gbm4tdu3Z1GCexZMkSvPDCC9i3bx8EQcDu3bsBAOXl5UhPT0deXh7y8vKQlpYmVZpkZZ2NRCci5yRZASkpKUFYWBj69esHT09PREVFoaioyLD/woULaGpqwpgxYwAAiYmJhv0//PAD9uzZg/j4ePzlL3/B1atXpUqTrCwiIgIKhQIAOBKdyMlJVkCqqqrg5+dneOzv7w+VStXlfj8/P8N+Pz8/PP7449i7dy8GDBiAF198Uao0ycqUSqXhjj2ORCdybiYnUxRLr9cb3frbfveWOfs3bdpk2J6SkoKIiAiLYpeXl0Oj0UCql6fRaHDkyJEO26TSWTxLnw+gW21YYsKECSgpKcH48eNRWVmJyspKm8QlsjfW+OzZ83eLZAUkMDAQhw8fNjyurq6Gv7+/0f7q6mrD45qaGvj7+0Oj0eDDDz/Eo48+CqCtsFg6iDEkJARarRZVVRfx/mtru/dCblB14RwC/f0QGhpqtN3b2xuoqrdqrOvbvjGepc8H0K02LDFw4EDU1dXhL3/5C+/AsgKu8Oi4rPHZ8/b2hjTfLL9+tzQ3N6O8vNzi50t2Cmvy5MkoLS2FWq1GY2MjiouLER4ebtgfFBQEd3d3Q/XLy8tDeHg4PD098cYbb+D7778HAOzcudPiHgj1rPaR6Pyys47rx9UQ2RPJeiABAQFIS0tDcnIytFotkpKSMGrUKCxcuBCpqakYOXIk1q9fj+XLl6Ourg4jRoxAcnIy5HI5XnnlFWRkZKCpqQmDBg3CunXrLI7v4+MDvcIDsxc/a9XX9f5ra+Hj7WHVNom6wnE1ZM8kKyAAEB8fj/j4eKNt27ZtM/x9+PDh+OCDDzo8b/z48dizZ4+UqRE5BK7wSPZMslNYRNR9HFdD9kzSHggRdQ9XeBSvs/VxbLk2Tm/AAuKgeuMKiJYumOUMXwhc4dG6bL02jrNjAXFQFRUVOHb8R/jf0c/kse5ebWcqa+svmDy26vyVbudma878pcAVHsXrbH0ca6yN0xt/vHWFBcSB+d/RD488/YBV23zv5Y+t2p412cuCWbbmzCs8OuIYl4qKCpw8eRRDhviaPPa229qm9dHpqkwee/p0TZf71C3Avy+ZHg/XqGv708OMoXPqFiDQ9GE3xQJCZOeceYVHR107ZsgQX6xZk2DVNtPT8zrdftddd5ndRnuPJ3DoUJPHBlrYdmdYQIioR3CMi3ksOaVl6944b+Mloh7BtWMcH3sgDkqtVqOq+orVr1lUnb8CmR9H2pP0Ohvj4kinsYg9ECLqIVw7xvGxB+KgfHx8ILg3SnIXlk9f57sdluwPx7g4PhYQsku81975cYyL42MBIbtUUVGBk0ePYrCv6S+Vfoq2f8atVSoTRwJnamq7nRtZjzOPcekNWEDIbg327Y+XEqx7r/1zeZ3fa089wxpjXNhb7TksIFaiVqvh0lCLPkc/smq7Lg21UKvdrNomkTOpqKhA2Xc/wsPlVpPHaoW2ZbNPlp03eWyj/mq3c3N2LCBE5PA8XG7FEM97rdrm6YbPrdqeM2IBsRIfHx+cudyCprvjrNpun6MfOeUkgUTk+DgOhIiIRGEBISIiUVhAiIhIFBYQIiIShRfRHVjVefMmU6y/1gQA6HtLH7Pa7B8c1O3ciMj5sYA4KEsWglFfbBs89dsBpgtD/+Cgbi8yQ0S9g1MXkOoL5/D+a2tNHlevaRsw1Nfb9ECk6gvn4Ds8uNu5dZetF5npbLSvWq02rEdujv79+3d6SzJH+/YORUVFKCgoMNqmVqsBdL6efWxsbKdLGJP9cNoCYsmv6Mu/tI1KHXi76RWCfYcH98pf6BUVFfjux2+BftdtbALQYn4b9ZfrcK7xrPHGK9bIjhxV+w8QjnVyTE5bQOx5GUiH1Q+Q36e3apO6T3kfR28RHR3doUfhiJ+9tp53TZdrmIt1+nQN+vd3rK9kx8rWzrk0qM2aC0umbQQACArTK/+5NKgBmO4ZkfOqqalBZmYmMjIyOOU52RUWECux5LRW+4ygQ+80pzAE9spTZmq1GjU1tVafPfd0TS18XRVWbVNqOTk5KCsrQ05ODpd8tQM+Pj649dZWrFlj3Zmi09PzIJc71qk8FhAr4Smz3sOWPYKamhoUFhZCEAQUFhZCqVTafS9EyunVAd50YU9YQMgu+fj44JZWrSTrgbh284KtLXsEOTk5EAQBAKDX6x2iF1JRUYGfjh3H7QF3mDzW090LAHBNXW9W2xdVpqdhJ9thASGygK17BPv374dWqwUAaLVaFBcX230BAYDbA+7An+b92ertbn7nFau3SeKxgBBZwNY9goiICBQUFECr1UKhUCAyMlKyWIBjXrBXq9Vo1F+x+vodjforUKs9rdqms2EBcSKdDdQCbn6e2dzBWmq1GrgiwW23VwC1h9q6bUrI1j0CpVKJwsJCAICLi4vka4fzgj1ZggWkF3CUX5KOwNY9Al9fX8TExGDv3r2IiYmR9P+lI16wB9qul9Web5BkRcKuBjiePm3eOJDLlxsAALfdZronc/p0DYYO9bcsyR7GAuJEOhuoZS0+Pj4413hWkoGEjjQK2dY9gvaYlZWVNul9ONoF+55g0SwXl9t6/76+pgvD0KH+DnfLPgsImc/cU1hN//nT9OS/bVOZONDkv7bsEVwfc+PGjZLHcdQL9rZmL7fsd3bK2hqnqy3BAkJmETVQMmio6YODLGvblrq6plRdXQ03NzecPHnS6IPa3Q9oV/G6mnDQ2l8Itj49R9Zn61OOkhaQ/Px8bN68Ga2trVAqlZg3b57R/mPHjmHZsmWor6/H+PHjkZmZCVdXV1y8eBFLlixBbW0tBg8ejPXr16Nv375WyckeqrYj6uy96eoLryuWvpdnzByJfrnhP+eZPU2fZz5TU4uh/gEdtlsy23BjY9tUNJWVlUbbd+7c2en7cePAt64G2pmKd+M+c+OZqydOz1lLo/6qWXdhaYW27rFCZrp73Ki/CsD0WJaeIuUpa3NJVkBUKhWysrLwr3/9C25ubpgzZw4mTpxo9GtzyZIlWLlyJcaMGYPnnnsOu3fvxty5c5GZmYm5c+di+vTp2LRpE15//XUsWbJEqlQd4kKhI7HG+2lJr+TKf34A+HVSGG401D+g07a//vpr/Hz2LNzNiCf/z5+6ujqj7VV1dag6azzbcDN+7UG0q6iowIlj5Rgc6GW03VsGePt2nGblSl3bdYl+Xjfuuwbt5WtGW878UocbWVKw9Pq2a1w6nQ7z58832mfudPxqtRpVqmpJxmxcVJ1HK/w6xDeXoXc81JzCcIfd9o7thWQFpKSkBGFhYejXr23+76ioKBQVFWHx4sUAgAsXLqCpqQljxowBACQmJiI7OxuzZ8/GoUOHsGnTJsP2+fPnW62A2LpqO3OPR8r3sid6PDfSAWi9yf4b97ni1+JyM2q1Gk0trTjzi8a4PZ2AVl3XNylcUjcYx5O7wFUuM9rW1KLrULC+/vprnDt3zozMrsultRWtrcavsL6+vtN2bowHAM0tzR1Gjet0rWjV6czOwVUuh1xu/BXV3NLc4biuelu2/vfizJ/1rkhWQKqqquDn9+svBX9/f5SVlXW538/PDyqVCpcvX4aXlxdcXV2NtluivLy8m9lbT2VlJTQa4y+K9tNxN25vP/7IkSM2yc3RdPZeAl2/n5a8l4MGDYJCYfwLX6PR4Nq1a108o6NbbrkF3t7eHbYHBQUZ5eHh4QE39z64sVQIMh0ECGbHE2Ry6GXGJcvNXQEPD48O8fr06XjKRqfTdSgSN+Pq6gq5vGOJvDFeZ+8lIN372RVbf/Z642ddsgKi1+shk/3660gQBKPHXe2/8TgAHR6bEhISAnd3c05GSC80NBSLFi3q6TScgpTvZWhoqCT3dJioAAAKyElEQVTtdmbbtm02i9UT8Wz5Xt6MrT97jvxZb25uFvXDW7LVfAIDA1FdXW14XF1dDX9//y7319TUwN/fHz4+PtBoNND9p6t74/OIiMg+SFZAJk+ejNLS0rZ5ahobUVxcjPDwcMP+oKAguLu7G7pweXl5CA8Ph0KhwPjx4w3nEnNzc42eR0RE9kGyAhIQEIC0tDQkJydj5syZiIuLw6hRo7Bw4UL88MMPAID169dj9erViI6ORkNDA5KTkwEAK1aswO7duxEbG4vDhw/jz3+2/qyeRETUPTKhfe4CJ9B+Hs+eroEQEdk7sd+dkvVAiIjIubGAEBGRKCwgREQkilNNpth+OaelpaWHMyEichzt35mWXhJ3qgLSPhX1iRMnejgTIiLHo9VqO521oCtOdReWXq9HfX09FAqFxaPXiYh6K0EQoNVq0bdvX7i4mH9lw6kKCBER2Q4vohMRkSgsIEREJAoLCBERicICQkREorCAEBGRKCwgREQkCgsIERGJwgICoK6uDnFxcTh//rzksV577TVMnz4d06dPx7p16ySP9+qrryI2NhbTp0/H9u3bJY/Xbu3atUhPT5c8zu9//3tMnz4dCQkJSEhIwPfffy9pvE8++QSJiYmIiYnBypUrJY31/vvvG15XQkICQkND8eKLL0oaMy8vz/Dvc+3atZLGAoCtW7ciKioK8fHx2Lx5syQxbvx8l5SUID4+HpGRkcjKypI8HtA2wlupVOKrr76SPN6uXbsQFxeH+Ph4/PWvf5V2aiehl/vuu++EuLg4YcSIEcLPP/8saayDBw8KDz/8sNDc3Cy0tLQIycnJQnFxsWTxvvrqK2HOnDmCVqsVGhsbhfvvv184deqUZPHalZSUCBMnThSeffZZSePo9XphypQpglarlTROu3PnzglTpkwRLl26JLS0tAiPPPKI8Omnn9ok9okTJ4SIiAihtrZWshgNDQ3ChAkThNraWkGr1QpJSUnCwYMHJYt38OBBIS4uTtBoNEJra6vwxz/+Udi3b59VY9z4+W5sbBSmTp0qnDt3TtBqtcKCBQus+v+ws++TU6dOCQ8//LAwcuRI4csvv7RarM7inT59WoiIiBA0Go2g1+uFpUuXCtu3b7dqzOv1+h7I7t27sWLFCpusu+7n54f09HS4ublBoVDgzjvvxMWLFyWL97vf/Q7/+Mc/4OrqitraWuh0Onh6ekoWDwCuXLmCrKwsLFq0SNI4AHD69GkAwIIFCzBjxgzs3LlT0nj79+9HbGwsAgMDoVAokJWVhdGjR0sas11GRgbS0tLg4+MjWQydTge9Xo/Gxka0traitbVV0oXZjh49iilTpsDLywtyuRz33nsvDhw4YNUYN36+y8rKMHDgQPzmN7+Bq6sr4uPjUVRUJFk8APjggw+QkpIiyb+VG+O5ublhxYoV8PLygkwmw7BhwyT9jnGqyRTFWLVqlc1iDR061PD3yspKFBYW4r333pM0pkKhQHZ2Nt566y1ER0cjICBA0ngvvPAC0tLScOnSJUnjAMC1a9cwadIkPP/889BqtUhOTsbgwYNxzz33SBLv7NmzUCgUWLRoES5duoT77rvPJsstl5SUoKmpCTExMZLG8fLywlNPPYWYmBh4eHhgwoQJGDdunGTxRowYgZdeegl//OMf4eHhgU8++cTi2WBNufHzXVVVBT8/P8Njf39/qFQqyeIBwNKlSwEAOTk5VovTVbygoCAEBQUBANRqNd555x2sXr3a6nHb9foeSE84efIkFixYgKVLl2LQoEGSx0tNTUVpaSkuXbqE3bt3Sxbn/fffx4ABAzBp0iTJYlxv7NixWLduHby9veHj44OkpCR89tlnksXT6XQoLS3FSy+9hF27dqGsrAx79uyRLF67f/7zn/jDH/4geZyffvoJH374If73f/8Xn3/+OVxcXPDmm29KFm/SpElITEzE73//e6SkpCA0NBQKhUKyeEDbhKvXT7QqCIJTTryqUqmgVCrx0EMPYeLEiZLFYQGxsSNHjuDRRx/FM888g1mzZkka69SpUzh27BgAwMPDA5GRkTh+/Lhk8QoKCnDw4EEkJCQgOzsbn3zyCV566SXJ4h0+fBilpaWGx4IgwNVVuk61r68vJk2aBB8fH/Tp0wcPPvggysrKJIsHtK3TcOjQIUybNk3SOADwxRdfYNKkSejfvz/c3NyQmJiIr7/+WrJ4dXV1iIyMRH5+Pnbs2AE3Nzf85je/kSweAAQGBqK6utrwuLq62ianr23p1KlTmDNnDmbNmoUnnnhC0lgsIDZ06dIlPPHEE1i/fj2mT58uebzz589j+fLlaGlpQUtLCz7++GOEhoZKFm/79u346KOPkJeXh9TUVEybNg3PPfecZPE0Gg3WrVuH5uZm1NXVYc+ePYiIiJAs3v33348vvvgC165dg06nw+eff44RI0ZIFg8Ajh8/jkGDBkl+7QoAhg8fjpKSEjQ0NEAQBHzyyScYOXKkZPHOnz+Pxx9/HK2trdBoNPjggw8kP003evRonDlzBmfPnoVOp8NHH32E8PBwSWPaUl1dHR577DE89dRTWLBggeTxev01EFt688030dzcjDVr1hi2zZkzB4888ogk8aZOnYqysjLMnDkTcrkckZGRNilctnL//ffj+++/x8yZM6HX6zF37lyMHTtWsnijR49GSkoK5s6dC61Wi3vuuQcPPfSQZPEA4Oeff0ZgYKCkMdpNmTIFR48eRWJiIhQKBUaOHIn//u//lize8OHDERkZiRkzZkCn0+HRRx+V9AcOALi7u2PNmjV48skn0dzcjKlTpyI6OlrSmLb0wQcfoKamBtu3bzfctj9t2jQ89dRTksTjeiBERCQKT2EREZEoLCBERCQKCwgREYnCAkJERKKwgBARkSgsIEQWOH/+PIKDgzF//vwO+9LT0xEcHAy1Wi2q7ddee80wF1R6erqko8CJrIEFhMhC7u7uOHPmDC5cuGDY1tDQgG+++aZb7X711VdobW3tbnpENsOBhEQWksvliImJQX5+vmHW4eLiYjzwwAN46623ALStybBjxw64uLjA19cXzz//PAYPHoz09HR4eXnh+PHj+OWXXxAcHIy1a9ciNzcX5eXlWLduHeRyOQDg22+/xZw5c1BTU4OhQ4diw4YNNhmRTmQu9kCIRJg5cyby8vIMj3Nzcw1zm3355Zd444038I9//AN79+5FXFwcnnjiCcNMs+Xl5XjzzTdRUFCACxcuoKioCPPmzUNISAiWLl1qmI5FpVJh+/bt2LdvH1QqFYqLi23/QoluggWESISQkBDI5XKUl5fj0qVLqK+vx7BhwwAAn3/+OWJjYw1rdyQmJkKlUhlWjLv33nsNa8IMGzYMV69e7TTGgw8+CA8PD8jlcgwdOlT0tRUiqfAUFpFIM2bMwN69e+Hj44OEhATD9s6mBxcEwXB9o0+fPkbHdjWb0PUzC9/sOKKewh4IkUgJCQkoKipCQUEB4uLiDNvvvfdeFBQUGHoMH374Ifr164eBAwfetD25XM6L6ORQ2AMhEikgIAB33nknvL290a9fP8P2iRMn4tFHH4VSqYRer4ePjw+2bNkCF5eb/16bNm0aXn75ZWi1WqlTJ7IKzsZLRESi8BQWERGJwgJCRESisIAQEZEoLCBERCQKCwgREYnCAkJERKKwgBARkSgsIEREJMr/A+F7vGArPOscAAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Boxplot by month.\n", - "sns.boxplot(x='MONTH', y='PRCP', data=df_mean_by_month)\n", - "plt.xlabel('Month')\n", - "plt.ylabel('Precipitation (mm)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The distribution shows December was the wettest month (daily mean) overall. But it appears the wettest single month was in Feburary." - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'Precipitation (mm)')" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Boxplot by year.\n", - "sns.boxplot(x='YEAR', y='PRCP', data=df_mean_by_month)\n", - "plt.xlabel('Year')\n", - "plt.ylabel('Precipitation (mm)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The distribution shows 2010, 2015, and 2018 had the higest median month precipitation (daily mean). However, 2018 has only January and February, which are wet months! Based on the outliers, 2010, 2016, and 2017 had the wettest months." - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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YEARMONTHLATITUDELONGITUDEELEVATIONPRCPDAYDAY_OF_YEAR
962017232.8257-117.2501149.70.21642914.545.5
2220101232.8257-117.2501149.70.21451616.0350.0
112010132.8257-117.2501149.70.16967716.016.0
952017132.8257-117.2501149.70.16000016.016.0
9420161232.8257-117.2501149.70.15000016.0351.0
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" - ], - "text/plain": [ - " YEAR MONTH LATITUDE LONGITUDE ELEVATION PRCP DAY DAY_OF_YEAR\n", - "96 2017 2 32.8257 -117.2501 149.7 0.216429 14.5 45.5\n", - "22 2010 12 32.8257 -117.2501 149.7 0.214516 16.0 350.0\n", - "11 2010 1 32.8257 -117.2501 149.7 0.169677 16.0 16.0\n", - "95 2017 1 32.8257 -117.2501 149.7 0.160000 16.0 16.0\n", - "94 2016 12 32.8257 -117.2501 149.7 0.150000 16.0 351.0" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_mean_by_month.sort_values('PRCP', ascending=False).head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Sorting our new DataFrame by precipitation and viewing the top few rows, we can see that the wettest two months were February 2017 and December 2010." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Answer to Question E - Pivoting, stacking and unstacking" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "E1. Use pivot_table to produce a new DataFrame, where rows=years and columns=months, containing the mean precipitation of each month." - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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YEAR
2009NaN0.0000000.0077420.0030000.0067740.0037040.0000000.0003230.0013330.0012900.0113330.101613
20100.1696770.0884620.0200000.0643330.0019350.0026670.0035480.0000000.0019230.0809680.0323330.214516
20110.0277420.0615380.0224140.0100000.0255170.0030000.0000000.0000000.0014290.0180650.1080000.039032
20120.0180650.0577780.0416130.0533330.0006450.0016670.0003230.0016130.0013330.0422580.0100000.121852
20130.0474190.0171430.0380650.0060000.0164520.0003330.0012900.0003230.0000000.0116130.0028570.010000
20140.0022580.0375000.0590320.0180000.0000000.0000000.0112900.0064520.0180000.0000000.0193330.105333
20150.0166670.0135710.0329030.0053330.0406450.0020000.0441940.0012900.0356670.0332260.0673330.038710
20160.1074190.0155170.0351610.0183330.0332260.0006670.0000000.0009680.0156670.0048390.0426670.150000
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" - ], - "text/plain": [ - "MONTH 1 2 3 4 5 6 7 \\\n", - "YEAR \n", - "2009 NaN 0.000000 0.007742 0.003000 0.006774 0.003704 0.000000 \n", - "2010 0.169677 0.088462 0.020000 0.064333 0.001935 0.002667 0.003548 \n", - "2011 0.027742 0.061538 0.022414 0.010000 0.025517 0.003000 0.000000 \n", - "2012 0.018065 0.057778 0.041613 0.053333 0.000645 0.001667 0.000323 \n", - "2013 0.047419 0.017143 0.038065 0.006000 0.016452 0.000333 0.001290 \n", - "2014 0.002258 0.037500 0.059032 0.018000 0.000000 0.000000 0.011290 \n", - "2015 0.016667 0.013571 0.032903 0.005333 0.040645 0.002000 0.044194 \n", - "2016 0.107419 0.015517 0.035161 0.018333 0.033226 0.000667 0.000000 \n", - "2017 0.160000 0.216429 0.008065 0.004667 0.036129 0.009667 0.000323 \n", - "2018 0.073548 0.013929 0.050968 0.002667 0.010645 0.000333 0.000000 \n", - "\n", - "MONTH 8 9 10 11 12 \n", - "YEAR \n", - "2009 0.000323 0.001333 0.001290 0.011333 0.101613 \n", - "2010 0.000000 0.001923 0.080968 0.032333 0.214516 \n", - "2011 0.000000 0.001429 0.018065 0.108000 0.039032 \n", - "2012 0.001613 0.001333 0.042258 0.010000 0.121852 \n", - "2013 0.000323 0.000000 0.011613 0.002857 0.010000 \n", - "2014 0.006452 0.018000 0.000000 0.019333 0.105333 \n", - "2015 0.001290 0.035667 0.033226 0.067333 0.038710 \n", - "2016 0.000968 0.015667 0.004839 0.042667 0.150000 \n", - "2017 0.000968 0.000476 0.000000 0.005667 0.004516 \n", - "2018 0.000000 0.000000 0.006207 0.000000 NaN " - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Using pivot_table to get the mean of each month in a table where rows=years and columns=months\n", - "precip = df.pivot_table(index='YEAR', columns='MONTH', values='PRCP', aggfunc='mean')\n", - "precip" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "E2. Draw a heatmap of years x months where each square is a month colored by mean precipitation. Adjust the colormap to highlight months with heavy precipitation. Hint: Seaborn's `heatmap()` function makes this very easy." - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Heatmap colored by precipitation\n", - "fig, ax = plt.subplots(figsize=(9, 6))\n", - "sns.heatmap(precip, annot=False, fmt='f', linewidths=.5, ax=ax, cmap='Blues')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "E3. Stack the monthly precipitation table using `stack()`. View the values for 2017. Which month had the most precipitation in 2017? Describe the distribution statistics for all months using `describe()`. How many months are included in this dataset? What was the median month (daily average) value in this time period?" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [], - "source": [ - "# stack precipitation pivot table by year-month indexes\n", - "precip_stack = precip.stack()" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "MONTH\n", - "1 0.160000\n", - "2 0.216429\n", - "3 0.008065\n", - "4 0.004667\n", - "5 0.036129\n", - "6 0.009667\n", - "7 0.000323\n", - "8 0.000968\n", - "9 0.000476\n", - "10 0.000000\n", - "11 0.005667\n", - "12 0.004516\n", - "dtype: float64" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# daily average for 2017, month by month\n", - "precip_stack[2017]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "February had the most precipitation of any month in 2017." - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "count 118.000000\n", - "mean 0.027751\n", - "std 0.042921\n", - "min 0.000000\n", - "25% 0.001333\n", - "50% 0.010000\n", - "75% 0.037157\n", - "max 0.216429\n", - "dtype: float64" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# distribution statistics for mean daily averages by month\n", - "precip_stack.describe()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There are 109 months in this dataset. The median month (daily average) value was 0.011 inches of precipitation." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "E4. Use `unstack()` to stack precipitation pivot table by month and then year. View the values for December. Which year had the wettest December?" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [], - "source": [ - "# (un)stack precipitation pivot table by month-year indexes\n", - "precip_unstack = precip.unstack()" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "YEAR\n", - "2009 0.101613\n", - "2010 0.214516\n", - "2011 0.039032\n", - "2012 0.121852\n", - "2013 0.010000\n", - "2014 0.105333\n", - "2015 0.038710\n", - "2016 0.150000\n", - "2017 0.004516\n", - "2018 NaN\n", - "dtype: float64" - ] - }, - "execution_count": 40, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# daily average for December, year by year\n", - "precip_unstack[12]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The wettest December (by daily average) was in 2010." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "**Postscript:** Read more about [San Diego's odd 2010 weather](http://www.sandiegouniontribune.com/sdut-highlights-san-diegos-wild-and-weird-2010-weather-2011jan02-htmlstory.html)." - ] - } - ], - "metadata": { - "anaconda-cloud": {}, - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.1" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} From 647dc63ac38eea7a089ff11e9149779155a31427 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 27 Nov 2018 18:06:27 -0800 Subject: [PATCH 65/78] updates to moon instructions --- assignments/answers/assignment7_answers.ipynb | 2 +- assignments/assignment7.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/assignments/answers/assignment7_answers.ipynb b/assignments/answers/assignment7_answers.ipynb index 3a10bfa..027ee94 100644 --- a/assignments/answers/assignment7_answers.ipynb +++ b/assignments/answers/assignment7_answers.ipynb @@ -43,7 +43,7 @@ "source": [ "#### A. Data collection and wrangling\n", "\n", - "A1. Find an online resource with data about the moons and planets of the Solar System (sizes and distances).\n", + "A1. Find an online resource with data about the moons and planets of the Solar System (sizes and distances). The main ~20 moons would be a good set. (I found a source that had data for 23 moons: Moon, Deimos, Phobos, Callisto, Europa, Ganymede, Io, Dione, Enceladus, Hyperion, Iapetus, Mimas, Phoebe, Rhea, Tethys, Titan, Ariel, Miranda, Oberon, Titania, Umbriel, Nereid, Triton).\n", "\n", "A2. Create an Excel spreadsheet `moons.xlsx` with the following information about each moon (suggested column names shown): \n", "\n", diff --git a/assignments/assignment7.md b/assignments/assignment7.md index e7693ac..5633bea 100644 --- a/assignments/assignment7.md +++ b/assignments/assignment7.md @@ -8,7 +8,7 @@ For this assignment, we will collect and wrangle data about the moons orbiting p #### A. Data collection and wrangling -1. Find an online resource with data about the moons and planets of the Solar System (sizes and distances). +1. Find an online resource with data about the moons and planets of the Solar System (sizes and distances). The main ~20 moons would be a good set. (I found a source that had data for 23 moons: Moon, Deimos, Phobos, Callisto, Europa, Ganymede, Io, Dione, Enceladus, Hyperion, Iapetus, Mimas, Phoebe, Rhea, Tethys, Titan, Ariel, Miranda, Oberon, Titania, Umbriel, Nereid, Triton). 2. Create an Excel spreadsheet `moons.xlsx` with the following information about each moon (suggested column names shown): - Moon name (`moon_name`) - Host planet name (`planet_name`) From caba07391271fd6b2188af7177e066ea416e12ce Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 27 Nov 2018 19:29:01 -0800 Subject: [PATCH 66/78] clarifying C2 --- assignments/assignment8.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/assignments/assignment8.md b/assignments/assignment8.md index 517f51c..c0d51bb 100644 --- a/assignments/assignment8.md +++ b/assignments/assignment8.md @@ -24,7 +24,7 @@ For this assignment, we will use a file containing daily precipitation data in L #### C. Plot precipitation versus time 1. Use the Matplotlib function `plot()` to plot 'PRCP' versus 'DATE' as a line. -2. Plot 'PRCP' versus 'DATE' each year separately as a different colored line, with the x-axis going from the beginning to the end of the year, with a legend indicating the year. Hint: use the 'DAY_OF_YEAR' and 'YEAR' columns you created in B3. +2. Plot 'PRCP' versus 'DATE' for each year separately, with each year as a different colored line, the x-axis going from the beginning to the end of the year, and a legend indicating the year. Hint: use the 'DAY_OF_YEAR' and 'YEAR' columns you created in B3. 3. Go back and recolor the two plots above: pick two colors from ColorBrewer or xkcd and draw your subplots again. 4. Replot the plots in a subplot with the two sets of axes in a 1x2 formation. From e43b6e344ed152b8f8c1d95faea4428c2f6952a7 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 27 Nov 2018 19:45:52 -0800 Subject: [PATCH 67/78] updates to final project --- README.md | 11 ++++++----- assignments/final_project.md | 9 +++++---- 2 files changed, 11 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 45704c4..748eead 100644 --- a/README.md +++ b/README.md @@ -101,18 +101,19 @@ Weekly take-home assignments will follow the course schedule, reinforcing skills ### Final Project -You will choose a data set of your own or provided in one of the texts and write a Python program (or set of Python programs or mixture of .ipynb and .py/.sh scripts) to carry out a revealing data analysis. Have a look at Shaw Ex43-52 and McKinney Ch10-12 for more ideas. The final project is worth 20 points and will be graded on effort, creativity, and fulfillment of the requirements below. +You will choose a data set of your own or provided in one of the texts and write a Python program (or set of Python programs or mixture of .ipynb and .py/.sh scripts) to carry out a revealing data analysis or create a software tool. Have a look at Shaw Ex43-52 and McKinney Ch10-12 for more ideas. The final project is worth 20 points and will be graded on effort, creativity, and fulfillment of the requirements below. Requirements: * Submit your project as either: a Jupyter notebook (or collection of notebooks), a Python script (or collection of scripts), or a combination of the two. -* Use `pandas` and at least three (3) additional libraries/packages, such as: +* Use `pandas` and one or more package from at least three (β‰₯3) of the categories below: - Plotting: `matplotlib`, `seaborn` - - Statistics and modeling: `statsmodels`, `scikit-learn` + - Interactive visualization: `bokeh`, `pygal`, `plotly`, `mpld3`, `nvd3` + - Statistics and modeling: `scipy`, `statsmodels`, `scikit-learn` - Bioinformatics: `scikit-bio`, `biopython` - Climate science: `cdms`, `iris` - - Other domain-specific libraries/packages -* Use at least three (3) user-defined functions. + - Any other domain-specific library/package +* Use at least three (β‰₯3) user-defined functions. * Optional: Create user-defined modules and classes for use in your code. * Optional: Share your code on GitHub. diff --git a/assignments/final_project.md b/assignments/final_project.md index b87c571..7eecd05 100644 --- a/assignments/final_project.md +++ b/assignments/final_project.md @@ -5,13 +5,14 @@ Choose a data set of your own or provided in one of the texts and write a Python #### Requirements * Submit your project as either: a Jupyter notebook (or collection of notebooks), a Python script (or collection of scripts), or a combination of the two. -* Use `pandas` and at least three (3) additional libraries/packages, such as: +* Use `pandas` and one or more package from at least three (β‰₯3) of the categories below: - Plotting: `matplotlib`, `seaborn` - - Statistics and modeling: `statsmodels`, `scikit-learn` + - Interactive visualization: `bokeh`, `pygal`, `plotly`, `mpld3`, `nvd3` + - Statistics and modeling: `scipy`, `statsmodels`, `scikit-learn` - Bioinformatics: `scikit-bio`, `biopython` - Climate science: `cdms`, `iris` - - Other domain-specific libraries/packages -* Use at least three (3) user-defined functions. + - Any other domain-specific library/package +* Use at least three (β‰₯3) user-defined functions. * Optional: Create user-defined modules and classes for use in your code. * Optional: Share your code on GitHub. From ff50b137ccdd173e0d10b47c749c412e8117d9f7 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 27 Nov 2018 19:53:38 -0800 Subject: [PATCH 68/78] minor updates to final project --- README.md | 2 +- assignments/final_project.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 748eead..a260ac4 100644 --- a/README.md +++ b/README.md @@ -101,7 +101,7 @@ Weekly take-home assignments will follow the course schedule, reinforcing skills ### Final Project -You will choose a data set of your own or provided in one of the texts and write a Python program (or set of Python programs or mixture of .ipynb and .py/.sh scripts) to carry out a revealing data analysis or create a software tool. Have a look at Shaw Ex43-52 and McKinney Ch10-12 for more ideas. The final project is worth 20 points and will be graded on effort, creativity, and fulfillment of the requirements below. +You will choose a dataset of your own or provided in one of the texts and write a Python program (or set of Python programs or mixture of .ipynb and .py/.sh scripts) to carry out a revealing data analysis or create a software tool. Have a look at Shaw Ex43-52 and McKinney Ch10-12 for more ideas. The final project is worth 20 points and will be graded on effort, creativity, and fulfillment of the requirements below. Requirements: diff --git a/assignments/final_project.md b/assignments/final_project.md index 7eecd05..fafd620 100644 --- a/assignments/final_project.md +++ b/assignments/final_project.md @@ -1,6 +1,6 @@ ### Final Project -Choose a data set of your own or provided in one of the texts and write a Python program (or set of Python programs or mixture of .ipynb and .py/.sh scripts) to carry out a revealing data analysis or create a software tool. Have a look at Shaw Ex43-52 and McKinney Ch10-12 for more ideas. The best projects will go beyond the examples used in the assignments and class to yield scientific insight via statistical analysis and/or visualization, or to create a useful software product. +Choose a dataset of your own or provided in one of the texts and write a Python program (or set of Python programs or mixture of .ipynb and .py/.sh scripts) to carry out a revealing data analysis or create a software tool. Have a look at Shaw Ex43-52 and McKinney Ch10-12 for more ideas. The best projects will go beyond the examples used in the assignments and class to yield scientific insight via statistical analysis and/or visualization, or to create a useful software product. #### Requirements From 7bede6fa436176ee5bbcfcf2eb1fb5c27baecae0 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Wed, 28 Nov 2018 10:50:45 -0800 Subject: [PATCH 69/78] lesson18 updates --- lessons/lesson18.ipynb | 705 +++++++++++++++++++++++++---------------- 1 file changed, 437 insertions(+), 268 deletions(-) diff --git a/lessons/lesson18.ipynb b/lessons/lesson18.ipynb index dc57f32..f23f68e 100644 --- a/lessons/lesson18.ipynb +++ b/lessons/lesson18.ipynb @@ -1022,7 +1022,7 @@ "\n", "\n", "\n", - "
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\",\"dtype\":\"float64\",\"shape\":[2000]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[2000]}},\"selected\":{\"id\":\"2823\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2824\",\"type\":\"UnionRenderers\"}},\"id\":\"2813\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"2778\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2794\",\"type\":\"BasicTicker\"}},\"id\":\"2797\",\"type\":\"Grid\"}],\"root_ids\":[\"2778\"]},\"title\":\"Bokeh 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Application\",\"version\":\"1.0.1\"}};\n", + " var render_items = [{\"docid\":\"e32b76a2-13eb-4a02-8fe0-ba3900da3255\",\"notebook_comms_target\":\"2826\",\"roots\":{\"2778\":\"1eb94bb4-1bef-456d-bc10-9feee9000334\"}}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", "\n", " }\n", @@ -1072,7 +1072,7 @@ "

<Bokeh Notebook handle for In[19]>

" ], "text/plain": [ - "" + "" ] }, "execution_count": 19, @@ -1092,7 +1092,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "199f2fdb372347dbb634defd903c87be", + "model_id": "7cf6b54b37324b3fb64929c13c65c5b3", "version_major": 2, "version_minor": 0 }, @@ -1194,17 +1194,17 @@ { "data": { "text/plain": [ - "array([[[-0.2484154 , -0.28856974, -0.40948034, -0.37979608],\n", - " [-0.82478334, 1.52234824, 0.28927005, 0.08123532],\n", - " [ 0.91782753, 0.60977202, 0.49508801, 0.86367144],\n", - " [-1.65787252, 2.67897052, -1.3082505 , -0.56451777],\n", - " [-0.84096236, 0.86030942, 0.75394503, -0.3670258 ]],\n", - "\n", - " [[-1.19617779, 1.02614554, 0.58966904, -0.14242564],\n", - " [ 0.01885077, -0.79408005, -1.73040785, -0.65157054],\n", - " [ 2.33011346, 0.3383418 , 0.00515032, -0.43747086],\n", - " [ 0.09522517, 1.37681803, 1.49720893, -0.86203909],\n", - " [-0.64098865, 0.19609955, 1.3707336 , 1.04828122]]])" + "array([[[-1.79068493, 0.41942366, 0.64789327, 0.39389084],\n", + " [ 0.61174921, -0.3997412 , -1.55986103, 0.08133924],\n", + " [-0.99294477, -0.15277984, 1.20128463, -0.01374743],\n", + " [-0.61745923, -1.18472404, -0.93986733, -0.33545648],\n", + " [-1.11645123, 0.73175977, -1.14671896, 1.0230512 ]],\n", + "\n", + " [[ 1.14147862, -0.94925136, 0.31980103, -0.74873953],\n", + " [-0.68657302, -0.40766219, -0.36096788, 0.21578033],\n", + " [-1.35803644, 1.03707065, -0.58803114, -1.44564589],\n", + " [ 0.90654374, -0.04863797, -0.95654099, 0.19434102],\n", + " [-0.58412495, -1.18919412, 0.9906074 , 0.74952496]]])" ] }, "execution_count": 24, @@ -1304,38 +1304,38 @@ " \n", " \n", " 1852-02-25\n", - 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" -1.967752\n", - " -0.346870\n", + " -1.328693\n", + " -0.087175\n", " \n", " \n", " 1\n", - " 0.451937\n", - " 0.512144\n", + " -0.878980\n", + " -0.180849\n", " \n", " \n", " 3\n", " 0\n", - " -1.968141\n", - " 0.932362\n", + " 1.054696\n", + " -0.293257\n", " \n", " \n", " 1\n", - " -1.042854\n", - " -0.021986\n", + " 0.677432\n", + " -1.004902\n", " \n", " \n", "\n", @@ -1893,14 +1893,14 @@ "text/plain": [ " Item1 Item2\n", "major minor \n", - "0 0 -1.241121 0.329420\n", - " 1 -0.300345 1.472537\n", - "1 0 -2.345331 0.233238\n", - " 1 1.471141 2.478644\n", - "2 0 -1.967752 -0.346870\n", - " 1 0.451937 0.512144\n", - "3 0 -1.968141 0.932362\n", - " 1 -1.042854 -0.021986" + "0 0 0.635493 -0.612071\n", + " 1 0.916624 -0.204348\n", + "1 0 0.638321 1.863361\n", + " 1 1.129660 1.025001\n", + "2 0 -1.328693 -0.087175\n", + " 1 -0.878980 -0.180849\n", + "3 0 1.054696 -0.293257\n", + " 1 0.677432 -1.004902" ] }, "execution_count": 33, @@ -1960,38 +1960,38 @@ " \n", " \n", " 1852-02-25\n", - 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"1852-02-27 0.917828 0.609772 0.495088 0.863671\n", - "1852-02-28 -1.657873 2.678971 -1.308250 -0.564518\n", - "1852-02-29 -0.840962 0.860309 0.753945 -0.367026" + "1852-02-25 -1.790685 0.419424 0.647893 0.393891\n", + "1852-02-26 0.611749 -0.399741 -1.559861 0.081339\n", + "1852-02-27 -0.992945 -0.152780 1.201285 -0.013747\n", + "1852-02-28 -0.617459 -1.184724 -0.939867 -0.335456\n", + "1852-02-29 -1.116451 0.731760 -1.146719 1.023051" ] }, "execution_count": 34, @@ -2070,23 +2070,23 @@ " \n", " \n", " A\n", - " -0.248415\n", - " -1.196178\n", + " -1.790685\n", + " 1.141479\n", " \n", " \n", " B\n", - " -0.288570\n", - " 1.026146\n", + " 0.419424\n", + " -0.949251\n", " \n", " \n", " C\n", - " -0.409480\n", - " 0.589669\n", + " 0.647893\n", + " 0.319801\n", " \n", " \n", " D\n", - " -0.379796\n", - " -0.142426\n", + " 0.393891\n", + " -0.748740\n", " \n", " \n", "\n", @@ -2094,10 +2094,10 @@ ], "text/plain": [ " Item1 Item2\n", - "A -0.248415 -1.196178\n", - "B -0.288570 1.026146\n", - "C -0.409480 0.589669\n", - "D -0.379796 -0.142426" + "A -1.790685 1.141479\n", + "B 0.419424 -0.949251\n", + "C 0.647893 0.319801\n", + "D 0.393891 -0.748740" ] }, "execution_count": 36, @@ -2144,23 +2144,23 @@ " \n", " \n", " A\n", - " 0.917828\n", - " 2.330113\n", + " -0.992945\n", + " -1.358036\n", " \n", " \n", " B\n", - " 0.609772\n", - " 0.338342\n", + " -0.152780\n", + " 1.037071\n", " \n", " \n", " C\n", - " 0.495088\n", - " 0.005150\n", + " 1.201285\n", + " -0.588031\n", " \n", " \n", " D\n", - " 0.863671\n", - " -0.437471\n", + " -0.013747\n", + " -1.445646\n", " \n", " \n", "\n", @@ -2168,10 +2168,10 @@ ], "text/plain": [ " Item1 Item2\n", - "A 0.917828 2.330113\n", - "B 0.609772 0.338342\n", - "C 0.495088 0.005150\n", - "D 0.863671 -0.437471" + "A -0.992945 -1.358036\n", + "B -0.152780 1.037071\n", + "C 1.201285 -0.588031\n", + "D -0.013747 -1.445646" ] }, "execution_count": 37, @@ -2236,28 +2236,28 @@ " \n", " \n", " 1852-02-25\n", - " -0.409480\n", - " 0.589669\n", + " 0.647893\n", + " 0.319801\n", " \n", " \n", " 1852-02-26\n", - " 0.289270\n", - " -1.730408\n", + " -1.559861\n", + " -0.360968\n", " \n", " \n", " 1852-02-27\n", - " 0.495088\n", - " 0.005150\n", + " 1.201285\n", + " -0.588031\n", " \n", " \n", " 1852-02-28\n", - " -1.308250\n", - " 1.497209\n", + " -0.939867\n", + " -0.956541\n", " \n", " \n", " 1852-02-29\n", - " 0.753945\n", - " 1.370734\n", + " -1.146719\n", + " 0.990607\n", " \n", " \n", "\n", @@ -2265,11 +2265,11 @@ ], "text/plain": [ " Item1 Item2\n", - "1852-02-25 -0.409480 0.589669\n", - "1852-02-26 0.289270 -1.730408\n", - "1852-02-27 0.495088 0.005150\n", - "1852-02-28 -1.308250 1.497209\n", - "1852-02-29 0.753945 1.370734" + "1852-02-25 0.647893 0.319801\n", + "1852-02-26 -1.559861 -0.360968\n", + "1852-02-27 1.201285 -0.588031\n", + "1852-02-28 -0.939867 -0.956541\n", + "1852-02-29 -1.146719 0.990607" ] }, "execution_count": 39, @@ -2334,50 +2334,50 @@ " \n", " \n", " 1852-02-25\n", - " 0.207674\n", - " -0.281217\n", - " -0.694424\n", - " 2.666627\n", + " -1.568742\n", + " -0.441847\n", + " 2.025926\n", + " -0.526072\n", " \n", " \n", " 1852-02-26\n", - " -43.753302\n", - " -1.917122\n", - " -0.167169\n", - " -0.124676\n", + " -0.891018\n", + " 0.980570\n", + " 4.321329\n", + " 0.376954\n", " \n", " \n", " 1852-02-27\n", - " 0.393898\n", - " 1.802237\n", - " 96.127684\n", - " -1.974238\n", + " 0.731162\n", + " -0.147319\n", + " -2.042893\n", + " 0.009510\n", " \n", " \n", " 1852-02-28\n", - " -17.410024\n", - " 1.945769\n", - " -0.873793\n", - " 0.654863\n", + " -0.681114\n", + " 24.358006\n", + " 0.982569\n", + " -1.726123\n", " \n", " \n", " 1852-02-29\n", - " 1.311977\n", - " 4.387106\n", - " 0.550030\n", - " -0.350122\n", + " 1.911323\n", + " -0.615341\n", + " -1.157592\n", + " 1.364933\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D\n", - "1852-02-25 0.207674 -0.281217 -0.694424 2.666627\n", - "1852-02-26 -43.753302 -1.917122 -0.167169 -0.124676\n", - "1852-02-27 0.393898 1.802237 96.127684 -1.974238\n", - "1852-02-28 -17.410024 1.945769 -0.873793 0.654863\n", - "1852-02-29 1.311977 4.387106 0.550030 -0.350122" + " A B C D\n", + "1852-02-25 -1.568742 -0.441847 2.025926 -0.526072\n", + "1852-02-26 -0.891018 0.980570 4.321329 0.376954\n", + "1852-02-27 0.731162 -0.147319 -2.042893 0.009510\n", + "1852-02-28 -0.681114 24.358006 0.982569 -1.726123\n", + "1852-02-29 1.911323 -0.615341 -1.157592 1.364933" ] }, "execution_count": 41, @@ -2389,6 +2389,175 @@ "panel1['Item3']" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Alternative to Panels: Create DataFrame with MultiIndex" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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data1data2
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b10.9211540.682403
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" + ], + "text/plain": [ + " data1 data2\n", + "1 0.433743 0.858555\n", + "2 0.030530 0.462139" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.loc['a']" + ] + }, { "cell_type": "markdown", "metadata": {}, From 99fe9879eea3fa6e2afc969541337d228c85f475 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Wed, 28 Nov 2018 13:24:59 -0800 Subject: [PATCH 70/78] lesson18 updates after class --- lessons/lesson18.ipynb | 829 +++++++++++++++++++++++------------------ 1 file changed, 468 insertions(+), 361 deletions(-) diff --git a/lessons/lesson18.ipynb b/lessons/lesson18.ipynb index f23f68e..a72b555 100644 --- a/lessons/lesson18.ipynb +++ b/lessons/lesson18.ipynb @@ -35,7 +35,9 @@ "#### Two interface levels for Bokeh\n", "\n", "1. `bokeh.models` -- a low-level interface that provides the most flexibility to application developers\n", - "2. `bokeh.plotting` -- a higher-level interface centered around composing visual glyphs" + "2. `bokeh.plotting` -- a higher-level interface centered around composing visual glyphs\n", + "\n", + "We'll use only the `bokeh.plotting` interface today." ] }, { @@ -116,7 +118,7 @@ "# output to static HTML file\n", "output_file(\"log_lines.html\")\n", "\n", - "# create a new plot\n", + "# NEW: create a plot with tools and other parameters set in the figure\n", "p = figure(\n", " tools=\"pan,box_zoom,reset,save\",\n", " y_axis_type=\"log\", y_range=[0.001, 10**11], title=\"log axis example\",\n", @@ -336,6 +338,111 @@ "aapl.head()" ] }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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openhighlowclosevolume
date
2018-11-20178.37181.470175.51176.9867825247
2018-11-21179.73180.270176.55176.7831124210
2018-11-23174.94176.595172.10172.2923623972
2018-11-26174.24174.950170.26174.6244998520
2018-11-27171.51174.770170.88174.2441387377
\n", + "
" + ], + "text/plain": [ + " open high low close volume\n", + "date \n", + "2018-11-20 178.37 181.470 175.51 176.98 67825247\n", + "2018-11-21 179.73 180.270 176.55 176.78 31124210\n", + "2018-11-23 174.94 176.595 172.10 172.29 23623972\n", + "2018-11-26 174.24 174.950 170.26 174.62 44998520\n", + "2018-11-27 171.51 174.770 170.88 174.24 41387377" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "aapl.tail()" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -345,7 +452,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -373,7 +480,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -470,7 +577,7 @@ "4 2009-04-01 32.82555 -117.2449 152.25 2.05 4 2009" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -488,7 +595,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -521,7 +628,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -530,7 +637,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -575,7 +682,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -622,7 +729,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -671,7 +778,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -976,7 +1083,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -986,7 +1093,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -996,7 +1103,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -1010,7 +1117,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -1022,7 +1129,7 @@ "\n", "\n", "\n", - "
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1dMIy2lxe0/ynGW3mTf7T88lwmQJPntP6+8fEHkEu4/IeLv8qMs7j+UB2OkY0buPwYt1lUjYO4/eFJJB+N57j/rd7y4opPuP12dL2pire4/0MKiGyLH7j9C6BXN4eDuP7UNiX6h+u4/JzP8L2EU7z+aWG/hIC7vPwx+4pLgR+8/f6NVRKBh7z/xyMj1X3vvP2TuO6cfle8/1hOvWN+u7z9IOSIKn8jvP7telbte4u8/LYQIbR787z/Q1D0P7wrwP4ln9+fOF/A/QvqwwK4k8D/8jGqZjjHwP7UfJHJuPvA/brLdSk5L8D8nRZcjLljwP+DXUPwNZfA/mmoK1e1x8D9T/cOtzX7wPwyQfYati/A/xSI3X42Y8D9/tfA3baXwPzhIqhBNsvA/8dpj6Sy/8D+qbR3CDMzwP2QA15rs2PA/HZOQc8zl8D/WJUpMrPLwP4+4AyWM//A/SEu9/WsM8T8C3nbWSxnxP7twMK8rJvE/dAPqhwsz8T8tlqNg6z/xP+coXTnLTPE/oLsWEqtZ8T9ZTtDqimbxPxLhicNqc/E/zHNDnEqA8T+FBv10Ko3xPz6Ztk0KmvE/9ytwJuqm8T+wvin/ybPxP2pR49epwPE/I+ScsInN8T/cdlaJadrxP5UJEGJJ5/E/T5zJOin08T8IL4MTCQHyP8HBPOzoDfI/elT2xMga8j8z56+dqCfyP+15aXaINPI/pgwjT2hB8j9fn9wnSE7yPxgylgAoW/I/0sRP2Qdo8j+LVwmy53TyP0TqworHgfI//Xx8Y6eO8j+3DzY8h5vyP3Ci7xRnqPI/KTWp7Ua18j/ix2LGJsLyP5taHJ8Gz/I/Ve3Vd+bb8j8OgI9QxujyP8cSSSmm9fI/gKUCAoYC8z86OLzaZQ/zP/PKdbNFHPM/rF0vjCUp8z9l8OhkBTbzPx+Doj3lQvM/2BVcFsVP8z+RqBXvpFzzP0o7z8eEafM/A86IoGR28z+9YEJ5RIPzP3bz+1EkkPM/L4a1KgSd8z/oGG8D5KnzP6KrKNzDtvM/Wz7itKPD8z8U0ZuNg9DzP81jVWZj3fM/hvYOP0Pq8z9AicgXI/fzP/kbgvACBPQ/sq47yeIQ9D9rQfWhwh30PyXUrnqiKvQ/3mZoU4I39D+X+SEsYkT0P1CM2wRCUfQ/Ch+V3SFe9D/DsU62AWv0P3xECI/hd/Q/NdfBZ8GE9D/uaXtAoZH0P6j8NBmBnvQ/YY/u8WCr9D8aIqjKQLj0P9O0YaMgxfQ/jUcbfADS9D9G2tRU4N70P/9sji3A6/Q/uP9HBqD49D9ykgHffwX1Pyslu7dfEvU/5Ld0kD8f9T+dSi5pHyz1P1bd50H/OPU/EHChGt9F9T/JAlvzvlL1P4KVFMyeX/U/OyjOpH5s9T/1uod9Xnn1P65NQVY+hvU/Z+D6Lh6T9T8gc7QH/p/1P9kFbuDdrPU/k5gnub259T9MK+GRncb1PwW+mmp90/U/vlBUQ13g9T944w0cPe31PzF2x/Qc+vU/6giBzfwG9j+jmzqm3BP2P10u9H68IPY/FsGtV5wt9j/PU2cwfDr2P4jmIAlcR/Y/QXna4TtU9j/7C5S6G2H2P7SeTZP7bfY/bTEHbNt69j8mxMBEu4f2P+BWeh2blPY/mekz9nqh9j9SfO3OWq72PwsPp6c6u/Y/xaFggBrI9j9+NBpZ+tT2PzfH0zHa4fY/8FmNCrru9j+p7Ebjmfv2P2N/ALx5CPc/HBK6lFkV9z/VpHNtOSL3P443LUYZL/c/SMrmHvk79z8BXaD32Ej3P7rvWdC4Vfc/c4ITqZhi9z8sFc2BeG/3P+anhlpYfPc/nzpAMziJ9z9YzfkLGJb3PxFgs+T3ovc/y/Jsvdev9z+EhSaWt7z3Pz0Y4G6Xyfc/9qqZR3fW9z+wPVMgV+P3P2nQDPk28Pc/ImPG0Rb99z/b9X+q9gn4P5SIOYPWFvg/ThvzW7Yj+D8Hrqw0ljD4P8BAZg12Pfg/edMf5lVK+D8zZtm+NVf4P+z4kpcVZPg/pYtMcPVw+D9eHgZJ1X34PxixvyG1ivg/0UN5+pSX+D+K1jLTdKT4P0Np7KtUsfg//PulhDS++D+2jl9dFMv4P28hGTb01/g/KLTSDtTk+D/hRozns/H4P5vZRcCT/vg/VGz/mHML+T8N/7hxUxj5P8aRckozJfk/fyQsIxMy+T85t+X78j75P/JJn9TSS/k/q9xYrbJY+T9kbxKGkmX5Px4CzF5ycvk/15SFN1J/+T+QJz8QMoz5P0m6+OgRmfk/A02ywfGl+T+832ua0bL5P3VyJXOxv/k/LgXfS5HM+T/nl5gkcdn5P6EqUv1Q5vk/Wr0L1jDz+T8TUMWuEAD6P8zifofwDPo/hnU4YNAZ+j8/CPI4sCb6P/iaqxGQM/o/sS1l6m9A+j9rwB7DT036PyRT2JsvWvo/3eWRdA9n+j+WeEtN73P6P08LBSbPgPo/CZ6+/q6N+j/CMHjXjpr6P3vDMbBup/o/NFbriE60+j/u6KRhLsH6P6d7XjoOzvo/YA4YE+7a+j8ZodHrzef6P9Izi8St9Po/jMZEnY0B+z9FWf51bQ77P/7rt05NG/s/t35xJy0o+z9xESsADTX7Pyqk5NjsQfs/4zaescxO+z+cyVeKrFv7P1ZcEWOMaPs/D+/KO2x1+z/IgYQUTIL7P4EUPu0rj/s/Oqf3xQuc+z/0ObGe66j7P63ManfLtfs/Zl8kUKvC+z8f8t0oi8/7P9mElwFr3Ps/khdR2krp+z9LqgqzKvb7PwQ9xIsKA/w/vs99ZOoP/D93Yjc9yhz8PzD18BWqKfw/6Yeq7ok2/D+iGmTHaUP8P1ytHaBJUPw/FUDXeCld/D/O0pBRCWr8P4dlSirpdvw/QfgDA8mD/D/6ir3bqJD8P7Mdd7SInfw/bLAwjWiq/D8lQ+plSLf8P9/Voz4oxPw/mGhdFwjR/D9R+xbw5938PwqO0MjH6vw/xCCKoaf3/D99s0N6hwT9PzZG/VJnEf0/79i2K0ce/T+pa3AEJyv9P2L+Kd0GOP0/G5HjteZE/T/UI52OxlH9P422VmemXv0/R0kQQIZr/T8A3MkYZnj9P7lug/FFhf0/cgE9yiWS/T8slPaiBZ/9P+UmsHvlq/0/nrlpVMW4/T9XTCMtpcX9PxHf3AWF0v0/ynGW3mTf/T+DBFC3ROz9PzyXCZAk+f0/9SnDaAQG/j+vvHxB5BL+P2hPNhrEH/4/IeLv8qMs/j/adKnLgzn+P5QHY6RjRv4/TZocfUNT/j8GLdZVI2D+P7+/jy4Dbf4/eFJJB+N5/j8y5QLgwob+P+t3vLiik/4/pAp2kYKg/j9dnS9qYq3+Pxcw6UJCuv4/0MKiGyLH/j+JVVz0AdT+P0LoFc3h4P4//HrPpcHt/j+1DYl+ofr+P26gQleBB/8/JzP8L2EU/z/gxbUIQSH/P5pYb+EgLv8/U+sougA7/z8MfuKS4Ef/P8UQnGvAVP8/f6NVRKBh/z84Ng8dgG7/P/HIyPVfe/8/qluCzj+I/z9k7junH5X/Px2B9X//of8/1hOvWN+u/z+Ppmgxv7v/P0g5IgqfyP8/Aszb4n7V/z+7XpW7XuL/P3TxTpQ+7/8/LYQIbR78/z9zC+EifwQAQNDUPQ/vCgBALZ6a+14RAECJZ/fnzhcAQOYwVNQ+HgBAQvqwwK4kAECfww2tHisAQPyMapmOMQBAWFbHhf43AEC1HyRybj4AQBHpgF7eRABAbrLdSk5LAEDLezo3vlEAQCdFlyMuWABAhA70D55eAEDg11D8DWUAQD2hreh9awBAmmoK1e1xAED2M2fBXXgAQFP9w63NfgBAsMYgmj2FAEAMkH2GrYsAQGlZ2nIdkgBAxSI3X42YAEAi7JNL/Z4AQH+18DdtpQBA235NJN2rAEA4SKoQTbIAQJQRB/28uABA8dpj6Sy/AEBOpMDVnMUAQKptHcIMzABABzd6rnzSAEBkANea7NgAQMDJM4dc3wBAHZOQc8zlAEB5XO1fPOwAQNYlSkys8gBAM++mOBz5AECPuAMljP8AQOyBYBH8BQFASEu9/WsMAUClFBrq2xIBQALedtZLGQFAXqfTwrsfAUC7cDCvKyYBQBg6jZubLAFAdAPqhwszAUDRzEZ0ezkBQC2Wo2DrPwFAil8ATVtGAUDnKF05y0wBQEPyuSU7UwFAoLsWEqtZAUD8hHP+GmABQFlO0OqKZgFAthct1/psAUAS4YnDanMBQG+q5q/aeQFAzHNDnEqAAUAoPaCIuoYBQIUG/XQqjQFA4c9ZYZqTAUA+mbZNCpoBQJtiEzp6oAFA9ytwJuqmAUBU9cwSWq0BQLC+Kf/JswFADYiG6zm6AUBqUePXqcABQMYaQMQZxwFAI+ScsInNAUCArfmc+dMBQNx2Volp2gFAOUCzddngAUCVCRBiSecBQPLSbE657QFAT5zJOin0AUCrZSYnmfoBQAgvgxMJAQJAZPjf/3gHAkDBwTzs6A0CQB6LmdhYFAJAelT2xMgaAkDXHVOxOCECQDPnr52oJwJAkLAMihguAkDteWl2iDQCQElDxmL4OgJApgwjT2hBAkAD1n872EcCQF+f3CdITgJAvGg5FLhUAkAYMpYAKFsCQHX78uyXYQJA0sRP2QdoAkAujqzFd24CQItXCbLndAJA5yBmnld7AkBE6sKKx4ECQKGzH3c3iAJA/Xx8Y6eOAkBaRtlPF5UCQLcPNjyHmwJAE9mSKPehAkBwou8UZ6gCQMxrTAHXrgJAKTWp7Ua1AkCG/gXatrsCQOLHYsYmwgJAP5G/spbIAkCbWhyfBs8CQPgjeYt21QJAVe3Vd+bbAkCxtjJkVuICQA6Aj1DG6AJAa0nsPDbvAkDHEkkppvUCQCTcpRUW/AJAgKUCAoYCA0Ddbl/u9QgDQDo4vNplDwNAlgEZx9UVA0DzynWzRRwDQE+U0p+1IgNArF0vjCUpA0AJJ4x4lS8DQGXw6GQFNgNAwrlFUXU8A0Afg6I95UIDQHtM/ylVSQNA2BVcFsVPA0A037gCNVYDQJGoFe+kXANA7nFy2xRjA0BKO8/HhGkDQKcELLT0bwNAA86IoGR2A0Bgl+WM1HwDQL1gQnlEgwNAGSqfZbSJA0B28/tRJJADQNO8WD6UlgNAL4a1KgSdA0CMTxIXdKMDQOgYbwPkqQNAReLL71OwA0Ciqyjcw7YDQP50hcgzvQNAWz7itKPDA0C3Bz+hE8oDQBTRm42D0ANAcZr4efPWA0DNY1VmY90DQCotslLT4wNAhvYOP0PqA0Djv2srs/ADQECJyBcj9wNAnFIlBJP9A0D5G4LwAgQEQFbl3txyCgRAsq47yeIQBEAPeJi1UhcEQGtB9aHCHQRAyApSjjIkBEAl1K56oioEQIGdC2cSMQRA3mZoU4I3BEA6MMU/8j0EQJf5ISxiRARA9MJ+GNJKBEBQjNsEQlEEQK1VOPGxVwRACh+V3SFeBEBm6PHJkWQEQMOxTrYBawRAH3uronFxBEB8RAiP4XcEQNkNZXtRfgRANdfBZ8GEBECSoB5UMYsEQO5pe0ChkQRASzPYLBGYBECo/DQZgZ4EQATGkQXxpARAYY/u8WCrBEC+WEve0LEEQBoiqMpAuARAd+sEt7C+BEDTtGGjIMUEQDB+vo+QywRAjUcbfADSBEDpEHhocNgEQEba1FTg3gRAoqMxQVDlBED/bI4twOsEQFw26xkw8gRAuP9HBqD4BEAVyaTyD/8EQHKSAd9/BQVAzltey+8LBUArJbu3XxIFQIfuF6TPGAVA5Ld0kD8fBUBBgdF8ryUFQJ1KLmkfLAVA+hOLVY8yBUBW3edB/zgFQLOmRC5vPwVAEHChGt9FBUBsOf4GT0wFQMkCW/O+UgVAJsy33y5ZBUCClRTMnl8FQN9ecbgOZgVAOyjOpH5sBUCY8SqR7nIFQPW6h31eeQVAUYTkac5/BUCuTUFWPoYFQAoXnkKujAVAZ+D6Lh6TBUDEqVcbjpkFQCBztAf+nwVAfTwR9G2mBUDZBW7g3awFQDbPysxNswVAk5gnub25BUDvYYSlLcAFQEwr4ZGdxgVAqfQ9fg3NBUAFvppqfdMFQGKH91bt2QVAvlBUQ13gBUAbGrEvzeYFQHjjDRw97QVA1KxqCK3zBUAxdsf0HPoFQI0/JOGMAAZA6giBzfwGBkBH0t25bA0GQKObOqbcEwZAAGWXkkwaBkBdLvR+vCAGQLn3UGssJwZAFsGtV5wtBkByigpEDDQGQM9TZzB8OgZALB3EHOxABkCI5iAJXEcGQOWvffXLTQZAQXna4TtUBkCeQjfOq1oGQPsLlLobYQZAV9XwpotnBkC0nk2T+20GQBFoqn9rdAZAbTEHbNt6BkDK+mNYS4EGQCbEwES7hwZAg40dMSuOBkDgVnodm5QGQDwg1wkLmwZAmekz9nqhBkD1spDi6qcGQFJ87c5argZAr0VKu8q0BkALD6enOrsGQGjYA5SqwQZAxaFggBrIBkAha71sis4GQH40Gln61AZA2v12RWrbBkA3x9Mx2uEGQJSQMB5K6AZA8FmNCrruBkBNI+r2KfUGQKnsRuOZ+wZABrajzwkCB0BjfwC8eQgHQL9IXajpDgdAHBK6lFkVB0B52xaByRsHQNWkc205IgdAMm7QWakoB0CONy1GGS8HQOsAijKJNQdASMrmHvk7B0Ckk0MLaUIHQAFdoPfYSAdAXSb940hPB0C671nQuFUHQBe5trwoXAdAc4ITqZhiB0DQS3CVCGkHQCwVzYF4bwdAid4pbuh1B0Dmp4ZaWHwHQEJx40bIggdAnzpAMziJB0D8A50fqI8HQFjN+QsYlgdAtZZW+IecB0ARYLPk96IHQG4pENFnqQdAy/JsvdevB0AnvMmpR7YHQISFJpa3vAdA4E6DgifDB0A9GOBul8kHQJrhPFsH0AdA9qqZR3fWB0BTdPYz59wHQLA9UyBX4wdADAewDMfpB0Bp0Az5NvAHQMWZaeWm9gdAImPG0Rb9B0B/LCO+hgMIQNv1f6r2CQhAOL/clmYQCECUiDmD1hYIQPFRlm9GHQhAThvzW7YjCECq5E9IJioIQAeurDSWMAhAZHcJIQY3CEDAQGYNdj0IQB0Kw/nlQwhAedMf5lVKCEDWnHzSxVAIQDNm2b41VwhAjy82q6VdCEDs+JKXFWQIQEjC74OFaghApYtMcPVwCEACValcZXcIQF4eBknVfQhAu+diNUWECEAYsb8htYoIQHR6HA4lkQhA0UN5+pSXCEAtDdbmBJ4IQIrWMtN0pAhA55+Pv+SqCEBDaeyrVLEIQKAySZjEtwhA/PulhDS+CEBZxQJxpMQIQLaOX10UywhAEli8SYTRCEBvIRk29NcIQMzqdSJk3ghAKLTSDtTkCECFfS/7Q+sIQOFGjOez8QhAPhDp0yP4CECb2UXAk/4IQPeioqwDBQlAVGz/mHMLCUCwNVyF4xEJQA3/uHFTGAlAasgVXsMeCUDGkXJKMyUJQCNbzzajKwlAfyQsIxMyCUDc7YgPgzgJQDm35fvyPglAlYBC6GJFCUDySZ/U0ksJQE8T/MBCUglAq9xYrbJYCUAIprWZIl8JQGRvEoaSZQlAwThvcgJsCUAeAsxecnIJQHrLKEvieAlA15SFN1J/CUAzXuIjwoUJQJAnPxAyjAlA7fCb/KGSCUBJuvjoEZkJQKaDVdWBnwlAA02ywfGlCUBfFg+uYawJQLzfa5rRsglAGKnIhkG5CUB1ciVzsb8JQNI7gl8hxglALgXfS5HMCUCLzjs4AdMJQOeXmCRx2QlARGH1EOHfCUChKlL9UOYJQP3zrunA7AlAWr0L1jDzCUC3hmjCoPkJQBNQxa4QAApAcBkim4AGCkDM4n6H8AwKQCms23NgEwpAhnU4YNAZCkDiPpVMQCAKQD8I8jiwJgpAm9FOJSAtCkD4mqsRkDMKQFVkCP7/OQpAsS1l6m9ACkAO98HW30YKQGvAHsNPTQpAx4l7r79TCkAkU9ibL1oKQIAcNYifYApA3eWRdA9nCkA6r+5gf20KQJZ4S03vcwpA80GoOV96CkBPCwUmz4AKQKzUYRI/hwpACZ6+/q6NCkBlZxvrHpQKQMIweNeOmgpAHvrUw/6gCkB7wzGwbqcKQNiMjpzerQpANFbriE60CkCRH0h1vroKQO7opGEuwQpASrIBTp7HCkCne146Ds4KQANFuyZ+1ApAYA4YE+7aCkC913T/XeEKQBmh0evN5wpAdmou2D3uCkDSM4vErfQKQC/957Ad+wpAjMZEnY0BC0Doj6GJ/QcLQEVZ/nVtDgtAoiJbYt0UC0D+67dOTRsLQFu1FDu9IQtAt35xJy0oC0AUSM4TnS4LQHERKwANNQtAzdqH7Hw7C0AqpOTY7EELQIZtQcVcSAtA4zaescxOC0BAAPudPFULQJzJV4qsWwtA+ZK0dhxiC0BWXBFjjGgLQLIlbk/8bgtAD+/KO2x1C0BruCco3HsLQMiBhBRMggtAJUvhALyIC0CBFD7tK48LQN7dmtmblQtAOqf3xQucC0CXcFSye6ILQPQ5sZ7rqAtAUAMOi1uvC0CtzGp3y7ULQAqWx2M7vAtAZl8kUKvCC0DDKIE8G8kLQB/y3SiLzwtAfLs6FfvVC0DZhJcBa9wLQDVO9O3a4gtAkhdR2krpC0Du4K3Guu8LQEuqCrMq9gtAqHNnn5r8C0AEPcSLCgMMQGEGIXh6CQxAvs99ZOoPDEAamdpQWhYMQHdiNz3KHAxA0yuUKTojDEAw9fAVqikMQI2+TQIaMAxA6Yeq7ok2DEBGUQfb+TwMQKIaZMdpQwxA/+PAs9lJDEBcrR2gSVAMQLh2eoy5VgxAFUDXeCldDEBxCTRlmWMMQM7SkFEJagxAK5ztPXlwDECHZUoq6XYMQOQupxZZfQxAQfgDA8mDDECdwWDvOIoMQPqKvduokAxAVlQayBiXDECzHXe0iJ0MQBDn06D4owxAbLAwjWiqDEDJeY152LAMQCVD6mVItwxAggxHUri9DEDf1aM+KMQMQDufACuYygxAmGhdFwjRDED1MboDeNcMQFH7FvDn3QxArsRz3FfkDEAKjtDIx+oMQGdXLbU38QxAxCCKoaf3DEAg6uaNF/4MQH2zQ3qHBA1A2XygZvcKDUA2Rv1SZxENQJMPWj/XFw1A79i2K0ceDUBMohMYtyQNQKlrcAQnKw1ABTXN8JYxDUBi/indBjgNQL7Hhsl2Pg1AG5HjteZEDUB4WkCiVksNQNQjnY7GUQ1AMe35ejZYDUCNtlZnpl4NQOp/s1MWZQ1AR0kQQIZrDUCjEm0s9nENQADcyRhmeA1AXaUmBdZ+DUC5boPxRYUNQBY44N21iw1AcgE9yiWSDUDPypm2lZgNQCyU9qIFnw1AiF1Tj3WlDUDlJrB75asNQEHwDGhVsg1AnrlpVMW4DUD7gsZANb8NQFdMIy2lxQ1AtBWAGRXMDUAR39wFhdINQG2oOfL02A1AynGW3mTfDUAmO/PK1OUNQIMEULdE7A1A4M2so7TyDUA8lwmQJPkNQJlgZnyU/w1A9SnDaAQGDkBS8x9VdAwOQK+8fEHkEg5AC4bZLVQZDkBoTzYaxB8OQMQYkwY0Jg5AIeLv8qMsDkB+q0zfEzMOQNp0qcuDOQ5ANz4GuPM/DkCUB2OkY0YOQPDQv5DTTA5ATZocfUNTDkCpY3lps1kOQAYt1lUjYA5AY/YyQpNmDkC/v48uA20OQByJ7Bpzcw5AeFJJB+N5DkDVG6bzUoAOQDLlAuDChg5Ajq5fzDKNDkDrd7y4opMOQEhBGaUSmg5ApAp2kYKgDkAB1NJ98qYOQF2dL2pirQ5AumaMVtKzDkAXMOlCQroOQHP5RS+ywA5A0MKiGyLHDkAsjP8Hks0OQIlVXPQB1A5A5h654HHaDkBC6BXN4eAOQJ+xcrlR5w5A/HrPpcHtDkBYRCySMfQOQLUNiX6h+g5AEdflahEBD0BuoEJXgQcPQMtpn0PxDQ9AJzP8L2EUD0CE/Fgc0RoPQODFtQhBIQ9APY8S9bAnD0CaWG/hIC4PQPYhzM2QNA9AU+sougA7D0CwtIWmcEEPQAx+4pLgRw9AaUc/f1BOD0DFEJxrwFQPQCLa+FcwWw9Af6NVRKBhD0DbbLIwEGgPQDg2Dx2Abg9AlP9rCfB0D0DxyMj1X3sPQE6SJeLPgQ9AqluCzj+ID0AHJd+6r44PQGTuO6cflQ9AwLeYk4+bD0AdgfV//6EPQHlKUmxvqA9A1hOvWN+uD0Az3QtFT7UPQI+maDG/uw9A7G/FHS/CD0BIOSIKn8gPQKUCf/YOzw9AAszb4n7VD0BelTjP7tsPQLtelbte4g9AFyjyp87oD0B08U6UPu8PQNG6q4Cu9Q9ALYQIbR78D0DFprIsRwEQQHML4SJ/BBBAInAPGbcHEEDQ1D0P7woQQH45bAUnDhBALZ6a+14REEDbAsnxlhQQQIln9+fOFxBAN8wl3gYbEEDmMFTUPh4QQJSVgsp2IRBAQvqwwK4kEEDxXt+25icQQJ/DDa0eKxBATSg8o1YuEED8jGqZjjEQQKrxmI/GNBBAWFbHhf43EEAHu/V7NjsQQLUfJHJuPhBAY4RSaKZBEEAR6YBe3kQQQMBNr1QWSBBAbrLdSk5LEEAcFwxBhk4QQMt7Oje+URBAeeBoLfZUEEAnRZcjLlgQQNapxRlmWxBAhA70D55eEEAycyIG1mEQQODXUPwNZRBAjzx/8kVoEEA9oa3ofWsQQOsF3N61bhBAmmoK1e1xEEBIzzjLJXUQQPYzZ8FdeBBApZiVt5V7EEBT/cOtzX4QQAFi8qMFghBAsMYgmj2FEEBeK0+QdYgQQAyQfYatixBAuvSrfOWOEEBpWdpyHZIQQBe+CGlVlRBAxSI3X42YEEB0h2VVxZsQQCLsk0v9nhBA0FDCQTWiEEB/tfA3baUQQC0aHy6lqBBA235NJN2rEECK43saFa8QQDhIqhBNshBA5qzYBoW1EECUEQf9vLgQQEN2NfP0uxBA8dpj6Sy/EECfP5LfZMIQQE6kwNWcxRBA/Ajvy9TIEECqbR3CDMwQQFnSS7hEzxBABzd6rnzSEEC1m6iktNUQQGQA15rs2BBAEmUFkSTcEEDAyTOHXN8QQG4uYn2U4hBAHZOQc8zlEEDL975pBOkQQHlc7V887BBAKMEbVnTvEEDWJUpMrPIQQISKeELk9RBAM++mOBz5EEDhU9UuVPwQQI+4AyWM/xBAPh0yG8QCEUDsgWAR/AURQJrmjgc0CRFASEu9/WsMEUD3r+vzow8RQKUUGurbEhFAU3lI4BMWEUAC3nbWSxkRQLBCpcyDHBFAXqfTwrsfEUANDAK58yIRQLtwMK8rJhFAadVepWMpEUAYOo2bmywRQMaeu5HTLxFAdAPqhwszEUAiaBh+QzYRQNHMRnR7ORFAfzF1arM8EUAtlqNg6z8RQNz60VYjQxFAil8ATVtGEUA4xC5Dk0kRQOcoXTnLTBFAlY2LLwNQEUBD8rklO1MRQPJW6BtzVhFAoLsWEqtZEUBOIEUI41wRQPyEc/4aYBFAq+mh9FJjEUBZTtDqimYRQAez/uDCaRFAthct1/psEUBkfFvNMnARQBLhicNqcxFAwUW4uaJ2EUBvquav2nkRQB0PFaYSfRFAzHNDnEqAEUB62HGSgoMRQCg9oIi6hhFA1qHOfvKJEUCFBv10Ko0RQDNrK2tikBFA4c9ZYZqTEUCQNIhX0pYRQD6Ztk0KmhFA7P3kQ0KdEUCbYhM6eqARQEnHQTCyoxFA9ytwJuqmEUCmkJ4cIqoRQFT1zBJarRFAAlr7CJKwEUCwvin/ybMRQF8jWPUBtxFADYiG6zm6EUC77LThcb0RQGpR49epwBFAGLYRzuHDEUDGGkDEGccRQHV/brpRyhFAI+ScsInNEUDRSMumwdARQICt+Zz50xFALhIokzHXEUDcdlaJadoRQIrbhH+h3RFAOUCzddngEUDnpOFrEeQRQJUJEGJJ5xFARG4+WIHqEUDy0mxOue0RQKA3m0Tx8BFAT5zJOin0EUD9APgwYfcRQKtlJieZ+hFAWspUHdH9EUAIL4MTCQESQLaTsQlBBBJAZPjf/3gHEkATXQ72sAoSQMHBPOzoDRJAbyZr4iAREkAei5nYWBQSQMzvx86QFxJAelT2xMgaEkApuSS7AB4SQNcdU7E4IRJAhYKBp3AkEkAz56+dqCcSQOJL3pPgKhJAkLAMihguEkA+FTuAUDESQO15aXaINBJAm96XbMA3EkBJQ8Zi+DoSQPin9FgwPhJApgwjT2hBEkBUcVFFoEQSQAPWfzvYRxJAsTquMRBLEkBfn9wnSE4SQA0ECx6AURJAvGg5FLhUEkBqzWcK8FcSQBgylgAoWxJAx5bE9l9eEkB1+/Lsl2ESQCNgIePPZBJA0sRP2QdoEkCAKX7PP2sSQC6OrMV3bhJA3fLau69xEkCLVwmy53QSQDm8N6gfeBJA5yBmnld7EkCWhZSUj34SQETqworHgRJA8k7xgP+EEkChsx93N4gSQE8YTm1vixJA/Xx8Y6eOEkCs4apZ35ESQFpG2U8XlRJACKsHRk+YEkC3DzY8h5sSQGV0ZDK/nhJAE9mSKPehEkDBPcEeL6USQHCi7xRnqBJAHgceC5+rEkDMa0wB164SQHvQevcOshJAKTWp7Ua1EkDXmdfjfrgSQIb+Bdq2uxJANGM00O6+EkDix2LGJsISQJEskbxexRJAP5G/spbIEkDt9e2ozssSQJtaHJ8GzxJASr9KlT7SEkD4I3mLdtUSQKaIp4Gu2BJAVe3Vd+bbEkADUgRuHt8SQLG2MmRW4hJAYBthWo7lEkAOgI9QxugSQLzkvUb+6xJAa0nsPDbvEkAZrhozbvISQMcSSSmm9RJAdXd3H974EkAk3KUVFvwSQNJA1AtO/xJAgKUCAoYCE0AvCjH4vQUTQN1uX+71CBNAi9ON5C0ME0A6OLzaZQ8TQOic6tCdEhNAlgEZx9UVE0BFZke9DRkTQPPKdbNFHBNAoS+kqX0fE0BPlNKftSITQP74AJbtJRNArF0vjCUpE0Bawl2CXSwTQAknjHiVLxNAt4u6bs0yE0Bl8OhkBTYTQBRVF1s9ORNAwrlFUXU8E0BwHnRHrT8TQB+Doj3lQhNAzefQMx1GE0B7TP8pVUkTQCmxLSCNTBNA2BVcFsVPE0CGeooM/VITQDTfuAI1VhNA40Pn+GxZE0CRqBXvpFwTQD8NROXcXxNA7nFy2xRjE0Cc1qDRTGYTQEo7z8eEaRNA+Z/9vbxsE0CnBCy09G8TQFVpWqoscxNAA86IoGR2E0CyMreWnHkTQGCX5YzUfBNADvwTgwyAE0C9YEJ5RIMTQGvFcG98hhNAGSqfZbSJE0DIjs1b7IwTQHbz+1EkkBNAJFgqSFyTE0DTvFg+lJYTQIEhhzTMmRNAL4a1KgSdE0Dd6uMgPKATQIxPEhd0oxNAOrRADaymE0DoGG8D5KkTQJd9nfkbrRNAReLL71OwE0DzRvrli7MTQKKrKNzDthNAUBBX0vu5E0D+dIXIM70TQKzZs75rwBNAWz7itKPDE0AJoxCr28YTQLcHP6ETyhNAZmxtl0vNE0AU0ZuNg9ATQMI1yoO70xNAcZr4efPWE0Af/yZwK9oTQM1jVWZj3RNAfMiDXJvgE0AqLbJS0+MTQNiR4EgL5xNAhvYOP0PqE0A1Wz01e+0TQOO/ayuz8BNAkSSaIevzE0BAicgXI/cTQO7t9g1b+hNAnFIlBJP9E0BLt1P6ygAUQPkbgvACBBRAp4Cw5joHFEBW5d7ccgoUQARKDdOqDRRAsq47yeIQFEBgE2q/GhQUQA94mLVSFxRAvdzGq4oaFEBrQfWhwh0UQBqmI5j6IBRAyApSjjIkFEB2b4CEaicUQCXUrnqiKhRA0zjdcNotFECBnQtnEjEUQDACOl1KNBRA3mZoU4I3FECMy5ZJujoUQDowxT/yPRRA6ZTzNSpBFECX+SEsYkQUQEVeUCKaRxRA9MJ+GNJKFECiJ60OCk4UQFCM2wRCURRA//AJ+3lUFECtVTjxsVcUQFu6ZufpWhRACh+V3SFeFEC4g8PTWWEUQGbo8cmRZBRAFE0gwMlnFEDDsU62AWsUQHEWfaw5bhRAH3uronFxFEDO39mYqXQUQHxECI/hdxRAKqk2hRl7FEDZDWV7UX4UQIdyk3GJgRRANdfBZ8GEFEDkO/Bd+YcUQJKgHlQxixRAQAVNSmmOFEDuaXtAoZEUQJ3OqTbZlBRASzPYLBGYFED5lwYjSZsUQKj8NBmBnhRAVmFjD7mhFEAExpEF8aQUQLMqwPsoqBRAYY/u8WCrFEAP9BzomK4UQL5YS97QsRRAbL151Ai1FEAaIqjKQLgUQMiG1sB4uxRAd+sEt7C+FEAlUDOt6MEUQNO0YaMgxRRAghmQmVjIFEAwfr6PkMsUQN7i7IXIzhRAjUcbfADSFEA7rElyONUUQOkQeGhw2BRAmHWmXqjbFEBG2tRU4N4UQPQ+A0sY4hRAoqMxQVDlFEBRCGA3iOgUQP9sji3A6xRArdG8I/juFEBcNusZMPIUQAqbGRBo9RRAuP9HBqD4FEBnZHb81/sUQBXJpPIP/xRAwy3T6EcCFUBykgHffwUVQCD3L9W3CBVAzltey+8LFUB8wIzBJw8VQCslu7dfEhVA2YnprZcVFUCH7hekzxgVQDZTRpoHHBVA5Ld0kD8fFUCSHKOGdyIVQEGB0XyvJRVA7+X/cucoFUCdSi5pHywVQEyvXF9XLxVA+hOLVY8yFUCoeLlLxzUVQFbd50H/OBVABUIWODc8FUCzpkQubz8VQGELcySnQhVAEHChGt9FFUC+1M8QF0kVQGw5/gZPTBVAG54s/YZPFUDJAlvzvlIVQHdnien2VRVAJsy33y5ZFUDUMObVZlwVQIKVFMyeXxVAMPpCwtZiFUDfXnG4DmYVQI3Dn65GaRVAOyjOpH5sFUDqjPyatm8VQJjxKpHuchVARlZZhyZ2FUD1uod9XnkVQKMftnOWfBVAUYTkac5/FUD/6BJgBoMVQK5NQVY+hhVAXLJvTHaJFUAKF55CrowVQLl7zDjmjxVAZ+D6Lh6TFUAVRSklVpYVQMSpVxuOmRVAcg6GEcacFUAgc7QH/p8VQM/X4v01oxVAfTwR9G2mFUAroT/qpakVQNkFbuDdrBVAiGqc1hWwFUA2z8rMTbMVQOQz+cKFthVAk5gnub25FUBB/VWv9bwVQO9hhKUtwBVAnsaym2XDFUBMK+GRncYVQPqPD4jVyRVAqfQ9fg3NFUBXWWx0RdAVQAW+mmp90xVAsyLJYLXWFUBih/dW7dkVQBDsJU0l3RVAvlBUQ13gFUBttYI5leMVQBsasS/N5hVAyX7fJQXqFUB44w0cPe0VQCZIPBJ18BVA1KxqCK3zFUCDEZn+5PYVQDF2x/Qc+hVA39r16lT9FUCNPyThjAAWQDykUtfEAxZA6giBzfwGFkCYba/DNAoWQEfS3blsDRZA9TYMsKQQFkCjmzqm3BMWQFIAaZwUFxZAAGWXkkwaFkCuycWIhB0WQF0u9H68IBZAC5MidfQjFkC591BrLCcWQGdcf2FkKhZAFsGtV5wtFkDEJdxN1DAWQHKKCkQMNBZAIe84OkQ3FkDPU2cwfDoWQH24lSa0PRZALB3EHOxAFkDagfISJEQWQIjmIAlcRxZAN0tP/5NKFkDlr331y00WQJMUrOsDURZAQXna4TtUFkDw3QjYc1cWQJ5CN86rWhZATKdlxONdFkD7C5S6G2EWQKlwwrBTZBZAV9XwpotnFkAGOh+dw2oWQLSeTZP7bRZAYgN8iTNxFkARaKp/a3QWQL/M2HWjdxZAbTEHbNt6FkAbljViE34WQMr6Y1hLgRZAeF+SToOEFkAmxMBEu4cWQNUo7zrzihZAg40dMSuOFkAx8ksnY5EWQOBWeh2blBZAjruoE9OXFkA8INcJC5sWQOuEBQBDnhZAmekz9nqhFkBHTmLssqQWQPWykOLqpxZApBe/2CKrFkBSfO3OWq4WQADhG8WSsRZAr0VKu8q0FkBdqnixArgWQAsPp6c6uxZAunPVnXK+FkBo2AOUqsEWQBY9MorixBZAxaFggBrIFkBzBo92UssWQCFrvWyKzhZAz8/rYsLRFkB+NBpZ+tQWQCyZSE8y2BZA2v12RWrbFkCJYqU7ot4WQDfH0zHa4RZA5SsCKBLlFkCUkDAeSugWQEL1XhSC6xZA8FmNCrruFkCfvrsA8vEWQE0j6vYp9RZA+4cY7WH4FkCp7EbjmfsWQFhRddnR/hZABrajzwkCF0C0GtLFQQUXQGN/ALx5CBdAEeQusrELF0C/SF2o6Q4XQG6ti54hEhdAHBK6lFkVF0DKduiKkRgXQHnbFoHJGxdAJ0BFdwEfF0DVpHNtOSIXQIMJomNxJRdAMm7QWakoF0Dg0v5P4SsXQI43LUYZLxdAPZxbPFEyF0DrAIoyiTUXQJlluCjBOBdASMrmHvk7F0D2LhUVMT8XQKSTQwtpQhdAUvhxAaFFF0ABXaD32EgXQK/Bzu0QTBdAXSb940hPF0AMiyvagFIXQLrvWdC4VRdAaFSIxvBYF0AXuba8KFwXQMUd5bJgXxdAc4ITqZhiF0Ai50Gf0GUXQNBLcJUIaRdAfrCei0BsF0AsFc2BeG8XQNt5+3ewchdAid4pbuh1F0A3Q1hkIHkXQOanhlpYfBdAlAy1UJB/F0BCceNGyIIXQPHVET0AhhdAnzpAMziJF0BNn24pcIwXQPwDnR+ojxdAqmjLFeCSF0BYzfkLGJYXQAYyKAJQmRdAtZZW+IecF0Bj+4Tuv58XQBFgs+T3ohdAwMTh2i+mF0BuKRDRZ6kXQByOPsefrBdAy/JsvdevF0B5V5uzD7MXQCe8yalHthdA1iD4n3+5F0CEhSaWt7wXQDLqVIzvvxdA4E6DgifDF0CPs7F4X8YXQD0Y4G6XyRdA63wOZc/MF0Ca4TxbB9AXQEhGa1E/0xdA9qqZR3fWF0ClD8g9r9kXQFN09jPn3BdAAdkkKh/gF0CwPVMgV+MXQF6igRaP5hdADAewDMfpF0C6a94C/+wXQGnQDPk28BdAFzU7727zF0DFmWnlpvYXQHT+l9ve+RdAImPG0Rb9F0DQx/THTgAYQH8sI76GAxhALZFRtL4GGEDb9X+q9gkYQIparqAuDRhAOL/clmYQGEDmIwuNnhMYQJSIOYPWFhhAQ+1neQ4aGEDxUZZvRh0YQJ+2xGV+IBhAThvzW7YjGED8fyFS7iYYQKrkT0gmKhhAWUl+Pl4tGEAHrqw0ljAYQLUS2yrOMxhAZHcJIQY3GEAS3DcXPjoYQMBAZg12PRhAbqWUA65AGEAdCsP55UMYQMtu8e8dRxhAedMf5lVKGEAoOE7cjU0YQNacfNLFUBhAhAGryP1TGEAzZtm+NVcYQOHKB7VtWhhAjy82q6VdGEA+lGSh3WAYQOz4kpcVZBhAml3BjU1nGEBIwu+DhWoYQPcmHnq9bRhApYtMcPVwGEBT8HpmLXQYQAJVqVxldxhAsLnXUp16GEBeHgZJ1X0YQA2DND8NgRhAu+diNUWEGEBpTJErfYcYQBixvyG1ihhAxhXuF+2NGEB0ehwOJZEYQCLfSgRdlBhA0UN5+pSXGEB/qKfwzJoYQC0N1uYEnhhA3HEE3TyhGECK1jLTdKQYQDg7YcmspxhA55+Pv+SqGECVBL61HK4YQENp7KtUsRhA8s0aooy0GECgMkmYxLcYQE6Xd478uhhA/PulhDS+GECrYNR6bMEYQFnFAnGkxBhAByoxZ9zHGEC2jl9dFMsYQGTzjVNMzhhAEli8SYTRGEDBvOo/vNQYQG8hGTb01xhAHYZHLCzbGEDM6nUiZN4YQHpPpBic4RhAKLTSDtTkGEDWGAEFDOgYQIV9L/tD6xhAM+Jd8XvuGEDhRozns/EYQJCrut3r9BhAPhDp0yP4GEDsdBfKW/sYQJvZRcCT/hhAST50tssBGUD3oqKsAwUZQKUH0aI7CBlAVGz/mHMLGUAC0S2Pqw4ZQLA1XIXjERlAX5qKexsVGUAN/7hxUxgZQLtj52eLGxlAasgVXsMeGUAYLURU+yEZQA==\",\"dtype\":\"float64\",\"shape\":[2000]},\"y\":{\"__ndarray__\":\"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example\"},\"id\":\"2777\",\"type\":\"Title\"},{\"attributes\":{\"formatter\":{\"id\":\"2822\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"2778\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2789\",\"type\":\"BasicTicker\"}},\"id\":\"2788\",\"type\":\"LinearAxis\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"2806\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"2825\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"2784\",\"type\":\"LinearScale\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"2778\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2794\",\"type\":\"BasicTicker\"}},\"id\":\"2797\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"2789\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"end\":5,\"start\":-5},\"id\":\"2782\",\"type\":\"Range1d\"}],\"root_ids\":[\"2778\"]},\"title\":\"Bokeh Application\",\"version\":\"1.0.1\"}};\n", + " var render_items = [{\"docid\":\"4a2f3c4d-cd38-442e-a39a-83af0e1eee61\",\"notebook_comms_target\":\"2826\",\"roots\":{\"2778\":\"ca29a166-b784-45de-9bc8-b8c1c571f1c0\"}}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", "\n", " }\n", @@ -1069,13 +1176,13 @@ { "data": { "text/html": [ - "

<Bokeh Notebook handle for In[19]>

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<Bokeh Notebook handle for In[20]>

" ], "text/plain": [ - "" + "" ] }, - "execution_count": 19, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -1086,13 +1193,13 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7cf6b54b37324b3fb64929c13c65c5b3", + "model_id": "d37da8dea94d4885bd900835eee394fe", "version_major": 2, "version_minor": 0 }, @@ -1109,7 +1216,7 @@ "" ] }, - "execution_count": 20, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -1149,7 +1256,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -1159,7 +1266,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -1168,7 +1275,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -1177,7 +1284,7 @@ "(2, 5, 4)" ] }, - "execution_count": 23, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -1188,26 +1295,26 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[[-1.79068493, 0.41942366, 0.64789327, 0.39389084],\n", - " [ 0.61174921, -0.3997412 , -1.55986103, 0.08133924],\n", - " [-0.99294477, -0.15277984, 1.20128463, -0.01374743],\n", - " [-0.61745923, -1.18472404, -0.93986733, -0.33545648],\n", - " [-1.11645123, 0.73175977, -1.14671896, 1.0230512 ]],\n", - "\n", - " [[ 1.14147862, -0.94925136, 0.31980103, -0.74873953],\n", - " [-0.68657302, -0.40766219, -0.36096788, 0.21578033],\n", - " [-1.35803644, 1.03707065, -0.58803114, -1.44564589],\n", - " [ 0.90654374, -0.04863797, -0.95654099, 0.19434102],\n", - " [-0.58412495, -1.18919412, 0.9906074 , 0.74952496]]])" + "array([[[ 0.79952443, -0.00936052, 0.70187707, -0.8051021 ],\n", + " [-1.34998935, 0.34724837, 1.24084546, -1.21199055],\n", + " [ 0.29065191, 0.69633502, -0.2621058 , 0.39778763],\n", + " [-0.22792923, 0.56419148, 0.82612156, -0.59250644],\n", + " [ 1.76917788, -0.75050696, -0.75820827, 0.10765544]],\n", + "\n", + " [[-1.95786387, 0.05917021, -1.35622965, 0.64239166],\n", + " [-0.14881912, -0.34577694, 1.01191879, 3.21601805],\n", + " [-0.10897603, -0.00656925, -0.91619736, 0.66604984],\n", + " [-2.10729674, -1.62688628, 1.59563076, -1.74531544],\n", + " [-0.25511612, -0.3995454 , -0.17433442, -0.14925264]]])" ] }, - "execution_count": 24, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -1218,7 +1325,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -1243,7 +1350,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "metadata": { "scrolled": true }, @@ -1258,7 +1365,7 @@ "Minor_axis axis: A to D" ] }, - "execution_count": 26, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -1269,7 +1376,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "metadata": { "scrolled": true }, @@ -1304,38 +1411,38 @@ " \n", " \n", " 1852-02-25\n", - " -1.790685\n", - " 0.419424\n", - " 0.647893\n", - " 0.393891\n", + " 0.799524\n", + " -0.009361\n", + " 0.701877\n", + " -0.805102\n", " \n", " \n", " 1852-02-26\n", - " 0.611749\n", - " -0.399741\n", - " -1.559861\n", - " 0.081339\n", + " -1.349989\n", + " 0.347248\n", + " 1.240845\n", + " -1.211991\n", " \n", " \n", " 1852-02-27\n", - " -0.992945\n", - " -0.152780\n", - " 1.201285\n", - " -0.013747\n", + " 0.290652\n", + " 0.696335\n", + " -0.262106\n", + " 0.397788\n", " \n", " \n", " 1852-02-28\n", - " -0.617459\n", - " -1.184724\n", - " -0.939867\n", - " -0.335456\n", + " -0.227929\n", + " 0.564191\n", + " 0.826122\n", + " -0.592506\n", " \n", " \n", " 1852-02-29\n", - " -1.116451\n", - " 0.731760\n", - " -1.146719\n", - " 1.023051\n", + " 1.769178\n", + " -0.750507\n", + " -0.758208\n", + " 0.107655\n", " \n", " \n", "\n", @@ -1343,14 +1450,14 @@ ], "text/plain": [ " A B C D\n", - "1852-02-25 -1.790685 0.419424 0.647893 0.393891\n", - "1852-02-26 0.611749 -0.399741 -1.559861 0.081339\n", - "1852-02-27 -0.992945 -0.152780 1.201285 -0.013747\n", - "1852-02-28 -0.617459 -1.184724 -0.939867 -0.335456\n", - "1852-02-29 -1.116451 0.731760 -1.146719 1.023051" + "1852-02-25 0.799524 -0.009361 0.701877 -0.805102\n", + "1852-02-26 -1.349989 0.347248 1.240845 -1.211991\n", + "1852-02-27 0.290652 0.696335 -0.262106 0.397788\n", + "1852-02-28 -0.227929 0.564191 0.826122 -0.592506\n", + "1852-02-29 1.769178 -0.750507 -0.758208 0.107655" ] }, - "execution_count": 27, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -1361,7 +1468,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -1394,38 +1501,38 @@ " \n", " \n", " 1852-02-25\n", - " 1.141479\n", - " -0.949251\n", - " 0.319801\n", - " -0.748740\n", + " -1.957864\n", + " 0.059170\n", + " -1.356230\n", + " 0.642392\n", " \n", " \n", " 1852-02-26\n", - " -0.686573\n", - " -0.407662\n", - " -0.360968\n", - " 0.215780\n", + " -0.148819\n", + " -0.345777\n", + " 1.011919\n", + " 3.216018\n", " \n", " \n", " 1852-02-27\n", - " -1.358036\n", - " 1.037071\n", - " -0.588031\n", - " -1.445646\n", + " -0.108976\n", + " -0.006569\n", + " -0.916197\n", + " 0.666050\n", " \n", " \n", " 1852-02-28\n", - " 0.906544\n", - " -0.048638\n", - " -0.956541\n", - " 0.194341\n", + " -2.107297\n", + " -1.626886\n", + " 1.595631\n", + " -1.745315\n", " \n", " \n", " 1852-02-29\n", - " -0.584125\n", - " -1.189194\n", - " 0.990607\n", - " 0.749525\n", + " -0.255116\n", + " -0.399545\n", + " -0.174334\n", + " -0.149253\n", " \n", " \n", "\n", @@ -1433,14 +1540,14 @@ ], "text/plain": [ " A B C D\n", - "1852-02-25 1.141479 -0.949251 0.319801 -0.748740\n", - "1852-02-26 -0.686573 -0.407662 -0.360968 0.215780\n", - "1852-02-27 -1.358036 1.037071 -0.588031 -1.445646\n", - "1852-02-28 0.906544 -0.048638 -0.956541 0.194341\n", - "1852-02-29 -0.584125 -1.189194 0.990607 0.749525" + "1852-02-25 -1.957864 0.059170 -1.356230 0.642392\n", + "1852-02-26 -0.148819 -0.345777 1.011919 3.216018\n", + "1852-02-27 -0.108976 -0.006569 -0.916197 0.666050\n", + "1852-02-28 -2.107297 -1.626886 1.595631 -1.745315\n", + "1852-02-29 -0.255116 -0.399545 -0.174334 -0.149253" ] }, - "execution_count": 28, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -1451,7 +1558,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 30, "metadata": { "scrolled": false }, @@ -1492,107 +1599,107 @@ " \n", " 1852-02-25\n", " A\n", - " -1.790685\n", - " 1.141479\n", + " 0.799524\n", + " -1.957864\n", " \n", " \n", " B\n", - " 0.419424\n", - " -0.949251\n", + " -0.009361\n", + " 0.059170\n", " \n", " \n", " C\n", - " 0.647893\n", - " 0.319801\n", + " 0.701877\n", + " -1.356230\n", " \n", " \n", " D\n", - " 0.393891\n", - " -0.748740\n", + " -0.805102\n", + " 0.642392\n", " \n", " \n", " 1852-02-26\n", " A\n", - " 0.611749\n", - " -0.686573\n", + " -1.349989\n", + " -0.148819\n", " \n", " \n", " B\n", - " -0.399741\n", - " -0.407662\n", + " 0.347248\n", + " -0.345777\n", " \n", " \n", " C\n", - " -1.559861\n", - " -0.360968\n", + " 1.240845\n", + " 1.011919\n", " \n", " \n", " D\n", - " 0.081339\n", - " 0.215780\n", + " -1.211991\n", + " 3.216018\n", " \n", " \n", " 1852-02-27\n", " A\n", - " -0.992945\n", - " -1.358036\n", + " 0.290652\n", + " -0.108976\n", " \n", " \n", " B\n", - " -0.152780\n", - " 1.037071\n", + " 0.696335\n", + " -0.006569\n", " \n", " \n", " C\n", - " 1.201285\n", - " -0.588031\n", + " -0.262106\n", + " -0.916197\n", " \n", " \n", " D\n", - " -0.013747\n", - " -1.445646\n", + " 0.397788\n", + " 0.666050\n", " \n", " \n", " 1852-02-28\n", " A\n", - " -0.617459\n", - " 0.906544\n", + " -0.227929\n", + " -2.107297\n", " \n", " \n", " B\n", - " -1.184724\n", - " -0.048638\n", + " 0.564191\n", + " -1.626886\n", " \n", " \n", " C\n", - " -0.939867\n", - " -0.956541\n", + " 0.826122\n", + " 1.595631\n", " \n", " \n", " D\n", - " -0.335456\n", - " 0.194341\n", + " -0.592506\n", + " -1.745315\n", " \n", " \n", " 1852-02-29\n", " A\n", - " -1.116451\n", - " -0.584125\n", + " 1.769178\n", + " -0.255116\n", " \n", " \n", " B\n", - " 0.731760\n", - " -1.189194\n", + " -0.750507\n", + " -0.399545\n", " \n", " \n", " C\n", - " -1.146719\n", - " 0.990607\n", + " -0.758208\n", + " -0.174334\n", " \n", " \n", " D\n", - " 1.023051\n", - " 0.749525\n", + " 0.107655\n", + " -0.149253\n", " \n", " \n", "\n", @@ -1601,29 +1708,29 @@ "text/plain": [ " Item1 Item2\n", "major minor \n", - "1852-02-25 A -1.790685 1.141479\n", - " B 0.419424 -0.949251\n", - " C 0.647893 0.319801\n", - " D 0.393891 -0.748740\n", - "1852-02-26 A 0.611749 -0.686573\n", - " B -0.399741 -0.407662\n", - " C -1.559861 -0.360968\n", - " D 0.081339 0.215780\n", - "1852-02-27 A -0.992945 -1.358036\n", - " B -0.152780 1.037071\n", - " C 1.201285 -0.588031\n", - " D -0.013747 -1.445646\n", - "1852-02-28 A -0.617459 0.906544\n", - " B -1.184724 -0.048638\n", - " C -0.939867 -0.956541\n", - " D -0.335456 0.194341\n", - "1852-02-29 A -1.116451 -0.584125\n", - " B 0.731760 -1.189194\n", - " C -1.146719 0.990607\n", - " D 1.023051 0.749525" + "1852-02-25 A 0.799524 -1.957864\n", + " B -0.009361 0.059170\n", + " C 0.701877 -1.356230\n", + " D -0.805102 0.642392\n", + "1852-02-26 A -1.349989 -0.148819\n", + " B 0.347248 -0.345777\n", + " C 1.240845 1.011919\n", + " D -1.211991 3.216018\n", + "1852-02-27 A 0.290652 -0.108976\n", + " B 0.696335 -0.006569\n", + " C -0.262106 -0.916197\n", + " D 0.397788 0.666050\n", + "1852-02-28 A -0.227929 -2.107297\n", + " B 0.564191 -1.626886\n", + " C 0.826122 1.595631\n", + " D -0.592506 -1.745315\n", + "1852-02-29 A 1.769178 -0.255116\n", + " B -0.750507 -0.399545\n", + " C -0.758208 -0.174334\n", + " D 0.107655 -0.149253" ] }, - "execution_count": 29, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -1641,7 +1748,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -1652,7 +1759,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -1684,27 +1791,27 @@ " \n", " \n", " 0\n", - " 0.635493\n", - " 0.916624\n", - " -0.423661\n", + " -0.138891\n", + " -0.131624\n", + " 1.141014\n", " \n", " \n", " 1\n", - " 0.638321\n", - " 1.129660\n", - " -2.240501\n", + " -0.332791\n", + " 0.710962\n", + " 0.645042\n", " \n", " \n", " 2\n", - " -1.328693\n", - " -0.878980\n", - " -0.094150\n", + " 0.203529\n", + " -0.008017\n", + " -0.072306\n", " \n", " \n", " 3\n", - " 1.054696\n", - " 0.677432\n", - " 0.082633\n", + " -1.095019\n", + " -1.327951\n", + " -0.031243\n", " \n", " \n", "\n", @@ -1712,13 +1819,13 @@ ], "text/plain": [ " 0 1 2\n", - "0 0.635493 0.916624 -0.423661\n", - "1 0.638321 1.129660 -2.240501\n", - "2 -1.328693 -0.878980 -0.094150\n", - "3 1.054696 0.677432 0.082633" + "0 -0.138891 -0.131624 1.141014\n", + "1 -0.332791 0.710962 0.645042\n", + "2 0.203529 -0.008017 -0.072306\n", + "3 -1.095019 -1.327951 -0.031243" ] }, - "execution_count": 31, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -1729,7 +1836,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -1761,26 +1868,26 @@ " \n", " \n", " 0\n", - " -0.612071\n", - " -0.204348\n", + " -0.575256\n", + " 0.020160\n", " NaN\n", " \n", " \n", " 1\n", - " 1.863361\n", - " 1.025001\n", + " -1.169333\n", + " 0.599117\n", " NaN\n", " \n", " \n", " 2\n", - " -0.087175\n", - " -0.180849\n", + " 1.533060\n", + " -1.688195\n", " NaN\n", " \n", " \n", " 3\n", - " -0.293257\n", - " -1.004902\n", + " 1.144176\n", + " -0.199781\n", " NaN\n", " \n", " \n", @@ -1789,13 +1896,13 @@ ], "text/plain": [ " 0 1 2\n", - "0 -0.612071 -0.204348 NaN\n", - "1 1.863361 1.025001 NaN\n", - "2 -0.087175 -0.180849 NaN\n", - "3 -0.293257 -1.004902 NaN" + "0 -0.575256 0.020160 NaN\n", + "1 -1.169333 0.599117 NaN\n", + "2 1.533060 -1.688195 NaN\n", + "3 1.144176 -0.199781 NaN" ] }, - "execution_count": 32, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -1806,7 +1913,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -1845,46 +1952,46 @@ " \n", " 0\n", " 0\n", - " 0.635493\n", - " -0.612071\n", + " -0.138891\n", + " -0.575256\n", " \n", " \n", " 1\n", - " 0.916624\n", - " -0.204348\n", + " -0.131624\n", + " 0.020160\n", " \n", " \n", " 1\n", " 0\n", - " 0.638321\n", - " 1.863361\n", + " -0.332791\n", + " -1.169333\n", " \n", " \n", " 1\n", - " 1.129660\n", - " 1.025001\n", + " 0.710962\n", + " 0.599117\n", " \n", " \n", " 2\n", " 0\n", - " -1.328693\n", - " -0.087175\n", + " 0.203529\n", + " 1.533060\n", " \n", " \n", " 1\n", - " -0.878980\n", - " -0.180849\n", + " -0.008017\n", + " -1.688195\n", " \n", " \n", " 3\n", " 0\n", - " 1.054696\n", - " -0.293257\n", + " -1.095019\n", + " 1.144176\n", " \n", " \n", " 1\n", - " 0.677432\n", - " -1.004902\n", + " -1.327951\n", + " -0.199781\n", " \n", " \n", "\n", @@ -1893,17 +2000,17 @@ "text/plain": [ " Item1 Item2\n", "major minor \n", - "0 0 0.635493 -0.612071\n", - " 1 0.916624 -0.204348\n", - "1 0 0.638321 1.863361\n", - " 1 1.129660 1.025001\n", - "2 0 -1.328693 -0.087175\n", - " 1 -0.878980 -0.180849\n", - "3 0 1.054696 -0.293257\n", - " 1 0.677432 -1.004902" + "0 0 -0.138891 -0.575256\n", + " 1 -0.131624 0.020160\n", + "1 0 -0.332791 -1.169333\n", + " 1 0.710962 0.599117\n", + "2 0 0.203529 1.533060\n", + " 1 -0.008017 -1.688195\n", + "3 0 -1.095019 1.144176\n", + " 1 -1.327951 -0.199781" ] }, - "execution_count": 33, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -1927,7 +2034,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -1960,38 +2067,38 @@ " \n", " \n", " 1852-02-25\n", - " -1.790685\n", - " 0.419424\n", - " 0.647893\n", - " 0.393891\n", + " 0.799524\n", + " -0.009361\n", + " 0.701877\n", + " -0.805102\n", " \n", " \n", " 1852-02-26\n", - " 0.611749\n", - " -0.399741\n", - " -1.559861\n", - " 0.081339\n", + " -1.349989\n", + " 0.347248\n", + " 1.240845\n", + " -1.211991\n", " \n", " \n", " 1852-02-27\n", - " -0.992945\n", - " -0.152780\n", - " 1.201285\n", - " -0.013747\n", + " 0.290652\n", + " 0.696335\n", + " -0.262106\n", + " 0.397788\n", " \n", " \n", " 1852-02-28\n", - " -0.617459\n", - " -1.184724\n", - " -0.939867\n", - " -0.335456\n", + " -0.227929\n", + " 0.564191\n", + " 0.826122\n", + " -0.592506\n", " \n", " \n", " 1852-02-29\n", - " -1.116451\n", - " 0.731760\n", - " -1.146719\n", - " 1.023051\n", + " 1.769178\n", + " -0.750507\n", + " -0.758208\n", + " 0.107655\n", " \n", " \n", "\n", @@ -1999,14 +2106,14 @@ ], "text/plain": [ " A B C D\n", - "1852-02-25 -1.790685 0.419424 0.647893 0.393891\n", - "1852-02-26 0.611749 -0.399741 -1.559861 0.081339\n", - "1852-02-27 -0.992945 -0.152780 1.201285 -0.013747\n", - "1852-02-28 -0.617459 -1.184724 -0.939867 -0.335456\n", - "1852-02-29 -1.116451 0.731760 -1.146719 1.023051" + "1852-02-25 0.799524 -0.009361 0.701877 -0.805102\n", + "1852-02-26 -1.349989 0.347248 1.240845 -1.211991\n", + "1852-02-27 0.290652 0.696335 -0.262106 0.397788\n", + "1852-02-28 -0.227929 0.564191 0.826122 -0.592506\n", + "1852-02-29 1.769178 -0.750507 -0.758208 0.107655" ] }, - "execution_count": 34, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -2017,7 +2124,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -2028,7 +2135,7 @@ " dtype='datetime64[ns]', freq='D')" ] }, - "execution_count": 35, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -2039,7 +2146,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -2070,23 +2177,23 @@ " \n", " \n", " A\n", - " -1.790685\n", - " 1.141479\n", + " 0.799524\n", + " -1.957864\n", " \n", " \n", " B\n", - " 0.419424\n", - " -0.949251\n", + " -0.009361\n", + " 0.059170\n", " \n", " \n", " C\n", - " 0.647893\n", - " 0.319801\n", + " 0.701877\n", + " -1.356230\n", " \n", " \n", " D\n", - " 0.393891\n", - " -0.748740\n", + " -0.805102\n", + " 0.642392\n", " \n", " \n", "\n", @@ -2094,13 +2201,13 @@ ], "text/plain": [ " Item1 Item2\n", - "A -1.790685 1.141479\n", - "B 0.419424 -0.949251\n", - "C 0.647893 0.319801\n", - "D 0.393891 -0.748740" + "A 0.799524 -1.957864\n", + "B -0.009361 0.059170\n", + "C 0.701877 -1.356230\n", + "D -0.805102 0.642392" ] }, - "execution_count": 36, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -2111,7 +2218,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 38, "metadata": { "scrolled": true }, @@ -2144,23 +2251,23 @@ " \n", " \n", " A\n", - " -0.992945\n", - " -1.358036\n", + " 0.290652\n", + " -0.108976\n", " \n", " \n", " B\n", - " -0.152780\n", - " 1.037071\n", + " 0.696335\n", + " -0.006569\n", " \n", " \n", " C\n", - " 1.201285\n", - " -0.588031\n", + " -0.262106\n", + " -0.916197\n", " \n", " \n", " D\n", - " -0.013747\n", - " -1.445646\n", + " 0.397788\n", + " 0.666050\n", " \n", " \n", "\n", @@ -2168,13 +2275,13 @@ ], "text/plain": [ " Item1 Item2\n", - "A -0.992945 -1.358036\n", - "B -0.152780 1.037071\n", - "C 1.201285 -0.588031\n", - "D -0.013747 -1.445646" + "A 0.290652 -0.108976\n", + "B 0.696335 -0.006569\n", + "C -0.262106 -0.916197\n", + "D 0.397788 0.666050" ] }, - "execution_count": 37, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -2185,7 +2292,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -2194,7 +2301,7 @@ "Index(['A', 'B', 'C', 'D'], dtype='object')" ] }, - "execution_count": 38, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -2205,7 +2312,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -2236,28 +2343,28 @@ " \n", " \n", " 1852-02-25\n", - " 0.647893\n", - " 0.319801\n", + " 0.701877\n", + " -1.356230\n", " \n", " \n", " 1852-02-26\n", - " -1.559861\n", - " -0.360968\n", + " 1.240845\n", + " 1.011919\n", " \n", " \n", " 1852-02-27\n", - " 1.201285\n", - " -0.588031\n", + " -0.262106\n", + " -0.916197\n", " \n", " \n", " 1852-02-28\n", - " -0.939867\n", - " -0.956541\n", + " 0.826122\n", + " 1.595631\n", " \n", " \n", " 1852-02-29\n", - " -1.146719\n", - " 0.990607\n", + " -0.758208\n", + " -0.174334\n", " \n", " \n", "\n", @@ -2265,14 +2372,14 @@ ], "text/plain": [ " Item1 Item2\n", - "1852-02-25 0.647893 0.319801\n", - "1852-02-26 -1.559861 -0.360968\n", - "1852-02-27 1.201285 -0.588031\n", - "1852-02-28 -0.939867 -0.956541\n", - "1852-02-29 -1.146719 0.990607" + "1852-02-25 0.701877 -1.356230\n", + "1852-02-26 1.240845 1.011919\n", + "1852-02-27 -0.262106 -0.916197\n", + "1852-02-28 0.826122 1.595631\n", + "1852-02-29 -0.758208 -0.174334" ] }, - "execution_count": 39, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -2290,7 +2397,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -2299,7 +2406,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 42, "metadata": { "scrolled": false }, @@ -2334,53 +2441,53 @@ " \n", " \n", " 1852-02-25\n", - " -1.568742\n", - " -0.441847\n", - " 2.025926\n", - " -0.526072\n", + " -0.408366\n", + " -0.158197\n", + " -0.517521\n", + " -1.253289\n", " \n", " \n", " 1852-02-26\n", - " -0.891018\n", - " 0.980570\n", - " 4.321329\n", - " 0.376954\n", + " 9.071344\n", + " -1.004255\n", + " 1.226230\n", + " -0.376861\n", " \n", " \n", " 1852-02-27\n", - " 0.731162\n", - " -0.147319\n", - " -2.042893\n", - " 0.009510\n", + " -2.667118\n", + " -105.999233\n", + " 0.286080\n", + " 0.597234\n", " \n", " \n", " 1852-02-28\n", - " -0.681114\n", - " 24.358006\n", - " 0.982569\n", - " -1.726123\n", + " 0.108162\n", + " -0.346792\n", + " 0.517740\n", + " 0.339484\n", " \n", " \n", " 1852-02-29\n", - " 1.911323\n", - " -0.615341\n", - " -1.157592\n", - " 1.364933\n", + " -6.934795\n", + " 1.878402\n", + " 4.349160\n", + " -0.721297\n", " \n", " \n", "\n", "" ], "text/plain": [ - " A B C D\n", - "1852-02-25 -1.568742 -0.441847 2.025926 -0.526072\n", - "1852-02-26 -0.891018 0.980570 4.321329 0.376954\n", - "1852-02-27 0.731162 -0.147319 -2.042893 0.009510\n", - "1852-02-28 -0.681114 24.358006 0.982569 -1.726123\n", - "1852-02-29 1.911323 -0.615341 -1.157592 1.364933" + " A B C D\n", + "1852-02-25 -0.408366 -0.158197 -0.517521 -1.253289\n", + "1852-02-26 9.071344 -1.004255 1.226230 -0.376861\n", + "1852-02-27 -2.667118 -105.999233 0.286080 0.597234\n", + "1852-02-28 0.108162 -0.346792 0.517740 0.339484\n", + "1852-02-29 -6.934795 1.878402 4.349160 -0.721297" ] }, - "execution_count": 41, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -2398,7 +2505,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -2423,46 +2530,46 @@ " \n", " \n", " \n", - " data1\n", - " data2\n", + " item1\n", + " item2\n", " \n", " \n", " \n", " \n", " a\n", " 1\n", - " 0.433743\n", - " 0.858555\n", + " 0.498497\n", + " 0.408550\n", " \n", " \n", " 2\n", - " 0.030530\n", - " 0.462139\n", + " 0.693409\n", + " 0.476624\n", " \n", " \n", " b\n", " 1\n", - " 0.921154\n", - " 0.682403\n", + " 0.020663\n", + " 0.378357\n", " \n", " \n", " 2\n", - " 0.717281\n", - " 0.635696\n", + " 0.506982\n", + " 0.809369\n", " \n", " \n", "\n", "" ], "text/plain": [ - " data1 data2\n", - "a 1 0.433743 0.858555\n", - " 2 0.030530 0.462139\n", - "b 1 0.921154 0.682403\n", - " 2 0.717281 0.635696" + " item1 item2\n", + "a 1 0.498497 0.408550\n", + " 2 0.693409 0.476624\n", + "b 1 0.020663 0.378357\n", + " 2 0.506982 0.809369" ] }, - "execution_count": 42, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -2470,37 +2577,37 @@ "source": [ "df = pd.DataFrame(np.random.rand(4, 2),\n", " index=[['a', 'a', 'b', 'b'], [1, 2, 1, 2]],\n", - " columns=['data1', 'data2'])\n", + " columns=['item1', 'item2'])\n", "df" ] }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "a 1 0.433743\n", - " 2 0.030530\n", - "b 1 0.921154\n", - " 2 0.717281\n", - "Name: data1, dtype: float64" + "a 1 0.498497\n", + " 2 0.693409\n", + "b 1 0.020663\n", + " 2 0.506982\n", + "Name: item1, dtype: float64" ] }, - "execution_count": 43, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df['data1']" + "df['item1']" ] }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -2524,32 +2631,32 @@ " \n", " \n", " \n", - " data1\n", - " data2\n", + " item1\n", + " item2\n", " \n", " \n", " \n", " \n", " 1\n", - " 0.433743\n", - " 0.858555\n", + " 0.498497\n", + " 0.408550\n", " \n", " \n", " 2\n", - " 0.030530\n", - " 0.462139\n", + " 0.693409\n", + " 0.476624\n", " \n", " \n", "\n", "" ], "text/plain": [ - " data1 data2\n", - "1 0.433743 0.858555\n", - "2 0.030530 0.462139" + " item1 item2\n", + "1 0.498497 0.408550\n", + "2 0.693409 0.476624" ] }, - "execution_count": 44, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } From 711e74defea281108972f1bca8038cdaea8157c1 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Thu, 29 Nov 2018 23:26:43 -0800 Subject: [PATCH 71/78] corrections to assignment 8 --- assignments/assignment8.md | 12 +++++------- 1 file changed, 5 insertions(+), 7 deletions(-) diff --git a/assignments/assignment8.md b/assignments/assignment8.md index c0d51bb..27b959e 100644 --- a/assignments/assignment8.md +++ b/assignments/assignment8.md @@ -23,18 +23,16 @@ For this assignment, we will use a file containing daily precipitation data in L #### C. Plot precipitation versus time -1. Use the Matplotlib function `plot()` to plot 'PRCP' versus 'DATE' as a line. -2. Plot 'PRCP' versus 'DATE' for each year separately, with each year as a different colored line, the x-axis going from the beginning to the end of the year, and a legend indicating the year. Hint: use the 'DAY_OF_YEAR' and 'YEAR' columns you created in B3. -3. Go back and recolor the two plots above: pick two colors from ColorBrewer or xkcd and draw your subplots again. -4. Replot the plots in a subplot with the two sets of axes in a 1x2 formation. +1. Use the Matplotlib function `plot()` to plot preciptation versus date as a single line, using a single color from ColorBrewer or xkcd (via Seaborn). Save your plot as a PDF file. +2. Plot precipitation versus day of year for each year separately, with each year as a different colored line, the x-axis going from the beginning to the end of the year, and a legend indicating the year. Hint: use the 'DAY_OF_YEAR' and 'YEAR' columns you created in B3. Color using a qualitative color palette from Seaborn or ColorBrewer (via Seaborn). Save your plot as a PDF file. +3. Create a set of subplots with a grid of 2 columns and enough rows to have one subplot per year (e.g., to show 10 years, your set of subplots would be 5 by 2). Plot precipitation versus day of year with each year as a separate subplot. Save your figure as a PDF file. #### D. Plot distributions of the precipitation data 1. Plot a histogram of precipitation values using the Matplotlib function `hist()`. 2. Plot a histogram with kernel density and rugplot with the Seaborn function `distplot()`. Play around with the settings to make a histogram that represents the data well. -3. Add columns to the DataFrame for year and month. Hint: You can do this with list comprehension and the datetime attributes `year` and `month`. -4. Use groupby to group the data by year or by month. Which year was the rainiest? Which month was the rainiest? -5. Make boxplots by year and by month using the Seaborn function `boxplot()`. Hint: If you make a boxplot of your DataFrame without grouping, the boxplots will be centered on zero, because there are so many days with zero precipitation. Instead, use groupby to group the data by year *and* month (use a list containing these columns), set `as_index=False`, average over those groups, and save this as a new DataFrame; then use this for your boxplots. +3. Use groupby to group the data by year or by month. Which year was the rainiest? Which month was the rainiest? +4. Make boxplots by year and by month using the Seaborn function `boxplot()`. Hint: If you make a boxplot of your DataFrame without grouping, the boxplots will be centered on zero, because there are so many days with zero precipitation. Instead, use groupby to group the data by year *and* month (use a list containing these columns), set `as_index=False`, average over those groups, and save this as a new DataFrame; then use this for your boxplots. #### E. Pivoting, stacking and unstacking From c36f0f923424964f7a36be1a923bf64436bfffe1 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Fri, 30 Nov 2018 11:12:41 -0800 Subject: [PATCH 72/78] minor updates to final project description in assignment 9 --- assignments/assignment8.md | 6 +++--- assignments/assignment9.md | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/assignments/assignment8.md b/assignments/assignment8.md index 27b959e..c2c467d 100644 --- a/assignments/assignment8.md +++ b/assignments/assignment8.md @@ -9,13 +9,13 @@ For this assignment, we will use a file containing daily precipitation data in L #### A. Set up the file 1. Import the CSV file as a Pandas DataFrame with default header and index. -2. Change the 'DATE' column to timestamps using `pd.datetime()`. Alternatively, import the csv file with `parse_dates` set to the columns you want to parse as datetime. +2. Change the 'DATE' column to timestamps using `pd.datetime()`. Alternatively, import the CSV file with `parse_dates` set to the columns you want to parse as datetime. 3. What was the maximum daily precipitation (in inches) during this time period and when was it? #### B. Explore the dataset 1. We don't need the columns 'SNOW' and 'SNOW_ATTRIBUTES' because there was no recorded snow in the dataset. Delete those columns "in place". -2. Find out about the sampling stations. Notice that the column values are similar between rows except 'DATE' and 'PRCP'. Explore these other columns using three different commands (we haven't covered them yet, but they are easy to use and you can always google them): +2. Find out about the sampling stations. Notice that the column values are similar between rows except 'DATE' and 'PRCP'. Explore these other columns using three different commands (we may not have covered all of them yet, but they are easy to use and you can always google them): - Use the `value_counts()` method for each of these columns: 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION'. There should only be one cateogory for each calculation because all the data come from the same station. To see what output looks like for a more diverse series, use the `value_counts()` method on 'PRCP' and 'PRCP_ATTRIBUTES'. - Make a DataFrame with just the columns 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION' and use the method `drop_duplicates()` to see all the unique combinations of values in those five columns. - Create a groupby object using `groupby('STATION')`, then use the `count()` method on that groupby object to count the number of values for each station. @@ -23,7 +23,7 @@ For this assignment, we will use a file containing daily precipitation data in L #### C. Plot precipitation versus time -1. Use the Matplotlib function `plot()` to plot preciptation versus date as a single line, using a single color from ColorBrewer or xkcd (via Seaborn). Save your plot as a PDF file. +1. Use the Matplotlib function `plot()` to plot precipitation versus date as a single line, using a single color from ColorBrewer or xkcd (via Seaborn). Save your plot as a PDF file. 2. Plot precipitation versus day of year for each year separately, with each year as a different colored line, the x-axis going from the beginning to the end of the year, and a legend indicating the year. Hint: use the 'DAY_OF_YEAR' and 'YEAR' columns you created in B3. Color using a qualitative color palette from Seaborn or ColorBrewer (via Seaborn). Save your plot as a PDF file. 3. Create a set of subplots with a grid of 2 columns and enough rows to have one subplot per year (e.g., to show 10 years, your set of subplots would be 5 by 2). Plot precipitation versus day of year with each year as a separate subplot. Save your figure as a PDF file. diff --git a/assignments/assignment9.md b/assignments/assignment9.md index 436b3c4..f160bda 100644 --- a/assignments/assignment9.md +++ b/assignments/assignment9.md @@ -34,4 +34,4 @@ Complete the tasks below. Please turn in a single Jupyter notebook named `9_firs #### E. Final project proposal -The final project description is [here](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/assignments/final_project.md). Write a short paragraph describing your proposed idea for the final project: the dataset you want to use, what analysis you want to do, and what you hope your code will do and look like when you are done. I will provide feedback when I grade your assignment. If you would like feedback sooner, please email me directly. +The final project description is [here](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/assignments/final_project.md). Write a short paragraph describing your proposed idea for the final project. If you are doing an analysis, describe the dataset you plan to use, what analysis you want to do, and how the Python packages you plan to use will help you do this analysis. If you are creating a software tool, describe the purpose of your tool and how you will use Python packages to accomplish it. I will provide feedback when I grade your assignment. If you would like feedback sooner, please email me directly. From b10666178c402feaf97189e085765aca201af62a Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Sun, 2 Dec 2018 19:10:09 -0800 Subject: [PATCH 73/78] adding TOC to lessons 18-19 --- lessons/lesson18.ipynb | 31 +++++++++++++++++++++++++++++++ lessons/lesson19.ipynb | 22 ++++++++++++++++------ 2 files changed, 47 insertions(+), 6 deletions(-) diff --git a/lessons/lesson18.ipynb b/lessons/lesson18.ipynb index a72b555..3f689eb 100644 --- a/lessons/lesson18.ipynb +++ b/lessons/lesson18.ipynb @@ -6,6 +6,21 @@ "source": [ "## Lesson 18 - Interactive Visualization with Bokeh\n", "\n", + "### Readings\n", + "\n", + "* [Bokeh User Guide](http://bokeh.pydata.org/en/latest/docs/user_guide.html)\n", + "\n", + "### Table of Contents\n", + "\n", + "* [Getting started](#intro)\n", + "* [About the HTML file](#html)\n", + "* [Tools](#tools)\n", + "* [Time-series graphs](#time)\n", + "* [Vectorized colors and sizes](#vectorized)\n", + "* [Linked panning and brushing](#linked)\n", + "* [Interact example](#interact)\n", + "* [Addendum: Pandas Panels](#panels)\n", + "\n", "From the Bokeh [homepage](http://bokeh.pydata.org/en/latest/):\n", "\n", "Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, and to extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.\n", @@ -21,6 +36,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Getting started\n", "\n", "#### Installation\n", @@ -141,6 +158,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### About the HTML file" ] }, @@ -164,6 +183,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Tools" ] }, @@ -198,6 +219,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Time-series graphs" ] }, @@ -614,6 +637,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Vectorized colors and sizes\n", "\n", "This example shows how it is possible to provide sequences of data values for glyph attributes like `fill_color` and `radius`. Other things to look out for in this example:\n", @@ -669,6 +694,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Linked panning and brushing\n", "\n", "Linking together various aspects of different plots can be a useful technique for data visualization. In Bokeh, such linkages are typically accomplished by sharing some plot component between plots. Below is an example that demonstrates **linked panning** (where changing the range of one plot causes others to update) by sharing range objects between the plots. Some other things to look out for in this example:\n", @@ -769,6 +796,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Interact example\n", "\n", "This demo shows off an interactive visualization using Bokeh for plotting, and Jupyter interactors for widgets. The demo runs entirely inside the Jupyter notebook, with no Bokeh server required.\n", @@ -1238,6 +1267,8 @@ "collapsed": true }, "source": [ + "\n", + "\n", "## Addendum: Pandas Panels\n", "\n", "Panel is a container for 3-dimensional data. The term panel data is derived from econometrics and is partially responsible for the name pandas: pan(el)-da(ta)-s. The names for the 3 axes give some semantic meaning to describing operations involving panel data and, in particular, econometric analysis of panel data:\n", diff --git a/lessons/lesson19.ipynb b/lessons/lesson19.ipynb index 0731740..2b5749f 100644 --- a/lessons/lesson19.ipynb +++ b/lessons/lesson19.ipynb @@ -15,17 +15,19 @@ "\n", "Topics covered:\n", "\n", - "* Modules\n", - "* Classes\n", - "* Object-oriented nomenclature\n", - "* Inheritance and composition\n", - "* Coding style (including PEP 8)" + "* [Modules](#modules)\n", + "* [Classes](#classes)\n", + "* [Object-oriented nomenclature](#oop)\n", + "* [Inheritance and composition](#inheritance)\n", + "* [Coding style (including PEP 8)](#style)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Modules\n", "\n", "A **module** is a file containing Python definitions and statements. The file name is the module name with the suffix `.py` appended. Definitions from a module can be imported into other modules or into the main module (the collection of variables that you have access to in a script executed at the top level and in calculator mode)." @@ -157,6 +159,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Classes\n", "\n", "Classes provide a means of bundling data and functionality together. Creating a new **class** creates a new *type* of object, allowing new *instances* (or *tokens*) of that type to be made. Each class instance can have **attributes** attached to it for maintaining its state. Class instances can also have **methods** (defined by its class) for modifying its state.\n", @@ -243,6 +247,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Object-oriented nomenclature\n", "\n", "From Shaw's *Learn Python The Hard Way* Exercise 41.\n", @@ -299,6 +305,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Inheritance and composition\n", "\n", "**Inheritance** is used to indicate that one class will get most or all of its features from a parent class. This happens implicitly whenever you write `class Foo(Bar)`, which says \"Make a class Foo that inherits from Bar.\" When you do this, the language makes any action that you do on instances of `Foo` also work as if they were done to an instance of `Bar`. Doing this lets you put common functionality in the `Bar` class, then specialize that functionality in the `Foo` class as needed.\n", @@ -402,6 +410,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Coding style\n", "\n", "#### PEP 8\n", @@ -848,7 +858,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.7.1" } }, "nbformat": 4, From 65962ea8098c1c92d83c4d6b30b1172574e8caf0 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 4 Dec 2018 00:00:11 -0800 Subject: [PATCH 74/78] updates after class --- lessons/lesson19.ipynb | 397 ++++++++++++++++++++++++++++++----------- lessons/lesson20.md | 52 +++--- 2 files changed, 320 insertions(+), 129 deletions(-) diff --git a/lessons/lesson19.ipynb b/lessons/lesson19.ipynb index 2b5749f..2cd5538 100644 --- a/lessons/lesson19.ipynb +++ b/lessons/lesson19.ipynb @@ -103,6 +103,61 @@ "```" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Importing from inside Jupyter notebook\n", + "\n", + "It works the same as from the Terminal." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import fibo" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 1 2 3 5 8 13 21 \n" + ] + } + ], + "source": [ + "fibo.fib(30)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[1, 1, 2, 3, 5, 8, 13, 21, 34]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fibo.fib2(50)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -259,7 +314,7 @@ "\n", "**object** Two meanings: the most basic type of thing, and any instance of some thing.\n", "\n", - "**instance** What you get when you tell Python to create a class.\n", + "**instance** What you get when you tell Python to create a new object from a type of class.\n", "\n", "**def** How you define a function inside a class.\n", "\n", @@ -316,7 +371,32 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "class Parent(object):\n", + "\n", + " def implicit(self):\n", + " print(\"PARENT implicit()\")\n", + "\n", + "class Child(Parent):\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "dad = Parent()\n", + "son = Child()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -329,17 +409,6 @@ } ], "source": [ - "class Parent(object):\n", - "\n", - " def implicit(self):\n", - " print(\"PARENT implicit()\")\n", - "\n", - "class Child(Parent):\n", - " pass\n", - "\n", - "dad = Parent()\n", - "son = Child()\n", - "\n", "dad.implicit()\n", "son.implicit()" ] @@ -362,18 +431,9 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 7, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "OTHER implicit()\n", - "OTHER implicit()\n" - ] - } - ], + "outputs": [], "source": [ "class Other(object):\n", " \n", @@ -386,65 +446,47 @@ " self.other = Other()\n", " \n", " def implicit(self):\n", - " self.other.implicit()\n", - "\n", + " self.other.implicit()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ "son = Child()\n", - "stepson = Other()\n", - "\n", - "son.implicit()\n", - "stepson.implicit()" + "stepson = Other()" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 9, "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "OTHER implicit()\n", + "OTHER implicit()\n" + ] + } + ], "source": [ - "**Inheritance or composition?** Both inheritance and composition are designed to prevent re-use of code, which is unclean and inefficient. Inheritance solves this problem by creating a mechanism for you to have implied features in base classes. Composition solves this by giving you modules and the ability to call functions in other classes.\n", - "\n", - "Use *composition* to package code into modules that are used in many different unrelated places and situations.\n", - "\n", - "Use *inheritance* only when there are clearly related reusable pieces of code that fit under a single common concept or if you have to because of something you’re using." + "son.implicit()\n", + "stepson.implicit()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "\n", - "\n", - "### Coding style\n", - "\n", - "#### PEP 8\n", - "\n", - "From Wikipedia: \"Python is meant to be an easily readable language. Its formatting is visually uncluttered, and it often uses English keywords where other languages use punctuation. Unlike many other languages, it does not use curly brackets to delimit blocks, and semicolons after statements are optional. It has fewer syntactic exceptions and special cases than C or Pascal.\"\n", - "\n", - "The Style Guide for Python Code, also called [PEP 8](https://www.python.org/dev/peps/pep-0008/), for Python Enhancement Proposal no. 8, defines the suggested style conventions for Python code. Let's check it out!\n", - "\n", - "#### Functions\n", - "\n", - "* Programmers call functions that are part of classes \"methods\". They're the same thing.\n", - "* Instead of naming your functions after what the function does, instead name it as if it's a command you are giving to the class. For example, `mylist.pop()` not `mylist.remove_from_end_of_list`.\n", - "* Keep your functions small and simple.\n", - "\n", - "#### Classes\n", - "\n", - "* Your class should use \"camelcase\" like `SuperGoldFactory` rather than `super_gold_factory`.\n", - "* Your other functions should use \"underscore format\" so write `my_awesome_hair` and not `myawe-somehair` or `MyAwesomeHair`.\n", - "* Be consistent in how you organize your function arguments. For example, if you have one function that takes `(dog, cat, user)`, don't have another that the other takes `(user, cat, dog)`.\n", - "* Try not to use variables that come from the module or globals.\n", - "* Always, always have `className(object)` format or else you will be in big trouble.\n", - "\n", - "#### Readability\n", - "\n", - "* Give your code vertical space (between lines) and horizontal space (between operators or commas) so people can read it.\n", - "* If you can't read it out loud, it's probably hard to read.\n", + "**Inheritance or composition?** Both inheritance and composition are designed to prevent re-use of code, which is unclean and inefficient. Inheritance solves this problem by creating a mechanism for you to have implied features in base classes. Composition solves this by giving you modules and the ability to call functions in other classes.\n", "\n", - "#### Comments\n", + "Use *composition* to package code into modules that are used in many different unrelated places and situations.\n", "\n", - "* Write comments.\n", - "* When you write comments, describe why you are doing what you are doing. The code already says how, but why you did things the way you did is more important.\n", - "* When you write doc comments for your functions, make them for someone who will have to use your code. Give them a sentence about what someone can do with that function.\n", - "* Keep your comments relatively short and to the point, and if you change a function, review the comment to make sure it's still correct." + "Use *inheritance* only when there are clearly related reusable pieces of code that fit under a single common concept or if you have to because of something you’re using." ] }, { @@ -465,12 +507,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We can create a `Planet` object that has attributes `name` and `diameter` and methods `area()` and `volume()`." + "We can create a `Planet` class that has attributes `name` and `diameter` and methods `area()` and `volume()`." ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -479,7 +521,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -498,7 +540,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -508,7 +550,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 13, "metadata": { "scrolled": true }, @@ -519,7 +561,7 @@ "'Earth'" ] }, - "execution_count": 6, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -530,7 +572,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -539,7 +581,7 @@ "12742" ] }, - "execution_count": 7, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -550,7 +592,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -559,7 +601,7 @@ "510064471.90978825" ] }, - "execution_count": 8, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -570,7 +612,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -579,7 +621,7 @@ "1083206916845.7535" ] }, - "execution_count": 9, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -588,6 +630,16 @@ "earth.volume()" ] }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "# class instantiation also supports label-based assignment\n", + "earth = Planet(name='Earth', diameter=12742)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -599,32 +651,35 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We can create a `Moon` class that has the same attributes and methods as `Planet`." + "We can create a `Moon` class that inherits the attributes and methods of `Planet`, plus an additional attribute for host planet. We do this by creating `Moon` as a subclass of `Planet`, then redefining the `__init__` function with an additional attribute for host planet." ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "class Moon(Planet):\n", - " pass" + " \n", + " def __init__(self, name, diameter, host_planet):\n", + " Planet.__init__(self, name, diameter)\n", + " self.host_planet = host_planet" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "# instantiate the class\n", - "moon = Moon('Moon', 3476)" + "moon = Moon('Moon', 3476, 'Earth')" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 20, "metadata": { "scrolled": true }, @@ -635,7 +690,7 @@ "'Moon'" ] }, - "execution_count": 12, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -646,7 +701,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -655,7 +710,7 @@ "3476" ] }, - "execution_count": 13, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -666,7 +721,27 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Earth'" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "moon.host_planet" + ] + }, + { + "cell_type": "code", + "execution_count": 23, "metadata": { "scrolled": false }, @@ -677,7 +752,7 @@ "37958531.99804035" ] }, - "execution_count": 14, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -688,7 +763,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -697,7 +772,7 @@ "21990642870.864708" ] }, - "execution_count": 15, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -712,12 +787,12 @@ "source": [ "#### Built-in functions with classes: A book example\n", "\n", - "Below is a class called `Book` that takes values for the author, title, and identified. The class definition uses a number of special built-in functions to control not only how instances of the class are initialized (`__init__`) but also how they are officially represented as strings (`__repr__`), how they are informally represented as strings (`__str__`), and how equivalence operations should be evaluated (`__eq__`)." + "Below is a class called `Book` that takes values for the author, title, and the ID number. The class definition uses a number of special built-in functions to control not only how instances of the class are initialized (`__init__`) but also how they are officially represented as strings (`__repr__`), how they are informally represented as strings (`__str__`), and how equivalence operations should be evaluated (`__eq__`)." ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -748,7 +823,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -758,7 +833,27 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "('Homer', 'The Iliad', '9780140275360')" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "iliad.author, iliad.title, iliad.book_id" + ] + }, + { + "cell_type": "code", + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -767,7 +862,7 @@ "Book(Homer, The Iliad, 9780140275360)" ] }, - "execution_count": 18, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -779,7 +874,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -788,7 +883,7 @@ "'Book(Homer, The Iliad, 9780140275360)'" ] }, - "execution_count": 19, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -800,7 +895,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -809,7 +904,7 @@ "'Homer, The Iliad, 9780140275360'" ] }, - "execution_count": 20, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -821,7 +916,25 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Homer, The Iliad, 9780140275360\n" + ] + } + ], + "source": [ + "# which affects print commands\n", + "print(iliad)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -830,7 +943,7 @@ "True" ] }, - "execution_count": 21, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -839,6 +952,80 @@ "# effect of __eq__\n", "iliad == Book('Homer', 'The Iliad', '9780140275360')" ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# only if all three are equivalent\n", + "iliad == Book('Homer', 'The Iliad', '5')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "### Coding style\n", + "\n", + "#### PEP 8\n", + "\n", + "From Wikipedia: \"Python is meant to be an easily readable language. Its formatting is visually uncluttered, and it often uses English keywords where other languages use punctuation. Unlike many other languages, it does not use curly brackets to delimit blocks, and semicolons after statements are optional. It has fewer syntactic exceptions and special cases than C or Pascal.\"\n", + "\n", + "The Style Guide for Python Code, also called [PEP 8](https://www.python.org/dev/peps/pep-0008/), for Python Enhancement Proposal no. 8, defines the suggested style conventions for Python code. It's a good idea to read through the PEP 8 style conventions. Here are some highlights:\n", + "\n", + "#### Code layout\n", + "\n", + "* Use 4 spaces per indentation level.\n", + "* Limit all lines to a maximum of 79 characters.\n", + "\n", + "#### Functions\n", + "\n", + "* Programmers call functions that are part of classes \"methods\". They're the same thing.\n", + "* Instead of naming your functions after what the function does, instead name it as if it's a command you are giving to the class. For example, `mylist.pop()` not `mylist.remove_from_end_of_list`.\n", + "* Keep your functions small and simple.\n", + "\n", + "#### Classes\n", + "\n", + "* Your class should use \"camelcase\" like `SuperGoldFactory` rather than `super_gold_factory`.\n", + "* Your other functions should use \"underscore format\" so write `my_awesome_hair` and not `myawe-somehair` or `MyAwesomeHair`.\n", + "* Be consistent in how you organize your function arguments. For example, if you have one function that takes `(dog, cat, user)`, don't have another that the other takes `(user, cat, dog)`.\n", + "* Try not to use variables that come from the module or globals.\n", + "* Always, always have `ClassName(object)` format or else you will be in big trouble.\n", + "\n", + "#### Readability\n", + "\n", + "* Give your code vertical space (between lines) and horizontal space (between operators or commas) so people can read it.\n", + "* If you can't read it out loud, it's probably hard to read.\n", + "\n", + "#### Comments\n", + "\n", + "* Write comments.\n", + "* When you write comments, describe why you are doing what you are doing. The code already says how, but why you did things the way you did is more important.\n", + "* When you write doc comments for your functions, make them for someone who will have to use your code. Give them a sentence about what someone can do with that function.\n", + "* Keep your comments relatively short and to the point, and if you change a function, review the comment to make sure it's still correct." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/lessons/lesson20.md b/lessons/lesson20.md index addd43e..21fb569 100644 --- a/lessons/lesson20.md +++ b/lessons/lesson20.md @@ -127,12 +127,12 @@ git push --set-upstream origin my-branch #### Example: Start a new repository and publish it to GitHub -Available online here: https://guides.github.com/introduction/git-handbook/. +*Available online here: https://guides.github.com/introduction/git-handbook/.* -``` -# create the repo "my-repo" on your GitHub account +First: create the repo "my-repo" on your GitHub account. -# create a new directory with the same name +``` +# create a new directory locally with the same name (my-repo) cd ~/git mkdir my-repo @@ -164,7 +164,7 @@ git push -u origin master #### Example: Contribute to an existing branch on GitHub -Available online here: https://guides.github.com/introduction/git-handbook/. +*Available online here: https://guides.github.com/introduction/git-handbook/.* ``` # assumption: a project called `repo` already exists on the machine, and a new branch @@ -193,7 +193,7 @@ git push #### Example: Fork an existing repository -Modified from Yoshiki VΓ‘zquez-Baeza (@ElDeveloper). +*Modified from Yoshiki VΓ‘zquez-Baeza (@ElDeveloper).* ``` # on GitHub, go the your favorite repository, such as the repository for this course: @@ -246,12 +246,13 @@ git push origin foo #### Additional Git commands -* `git branch -d foo` deletes local branch `foo`. -* `git push origin --delete foo` deletes remote branch `foo`. -* `git remote -v` shows list of existing remotes with remote url after name. +* `git diff ` shows all the changes to all files (or the files in ``) in the current repository. * `git log` shows log of commits. * `git stash` stashes changes instead of committing them. * `git stash pop` re-applies the stashed changes +* `git branch -d foo` deletes local branch `foo`. +* `git push origin --delete foo` deletes remote branch `foo`. +* `git remote -v` shows list of existing remotes with remote url after name. #### Managing remote repositories @@ -294,10 +295,15 @@ You can add tab completion to git so you can tab out commands, branches, etc. Th The code below creates a nifty bash function `egit` that changes and colors your bash promt to show the current time, your current working directory, and which branch you are working on. Written by Yoshiki VΓ‘zquez-Baeza (@ElDeveloper). -Add to your `~/.bash_profile`: +Add the below lines to your `~/.bash_profile`. The variable `MY_PROMPT` should be set to your preferred default prompt: ``` -function egit (){ +# prompt - standard prompt including optional git coloring +MY_PROMPT="\[\033[1;33m\][\u@\h:\w]$\[\033[0m\] " +PS1=$MY_PROMPT + +# prompt - git coloring with egit/dgit (activate/deactivate) +function egit () { # git specific usage for branching function branch_separator () { #git name-rev HEAD 2> /dev/null | sed 's#HEAD\ \(.*\)#(git::\1) #' @@ -309,26 +315,24 @@ function egit (){ function get_git_branch () { git rev-parse --abbrev-ref HEAD 2> /dev/null } - export PS1="\[\033[1;32m\]\t \[\033[0m\]\W$(branch_separator)\[\e[m\]\[\e[01;38;5;196m\]$(get_git_branch)\[\e[m\]$ " + export PS1='\[\033[1;32m\]\t \[\033[0m\]\W$(branch_separator)\[\e[m\]\[\e[01;38;5;196m\]$(get_git_branch)\[\e[m\]$ ' } -function dgit (){ - export PS1="\[\033[1;33m\][\u@\h:\w]$\[\033[0m\] " +function dgit () { + export PS1=$MY_PROMPT } ``` - -*Note: The prompt in dgit should be whichever custom prompt you already defined in your `.bash_profile`; this will make your prompt return to normal when you type `dgit`.* -If you have git bash completion installed, or other bash completion scripts, you may need to add this to your `~/.bash_profile`: - - for f in ~/.bash_completion.d/*; - do - source $f; - done - -Enable/disable the git-flavored prompt on the command line: +Enable the git-flavored prompt with `egit` and then disable (reset to default) with `dgit` on the command line: ``` egit ... some git magic ... dgit ``` + +If you have git bash completion installed, or other bash completion scripts, you may need to add this to your `~/.bash_profile`: + + for f in ~/.bash_completion.d/*; + do + source $f; + done From 19802634f8d8b982c52481a5b5d6ad371fa8d742 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 4 Dec 2018 18:08:43 -0800 Subject: [PATCH 75/78] minor update to Fibonacci code --- lessons/lesson19.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/lessons/lesson19.ipynb b/lessons/lesson19.ipynb index 2cd5538..30e972a 100644 --- a/lessons/lesson19.ipynb +++ b/lessons/lesson19.ipynb @@ -42,20 +42,20 @@ "```python\n", "# Fibonacci numbers module\n", "\n", - "def fib(n): # write Fibonacci series up to n\n", + "def fib(n): # write Fibonacci series up to a max value of n\n", " a, b = 0, 1\n", " while b < n:\n", " print(b, end=' ')\n", " a, b = b, a + b\n", " print()\n", "\n", - "def fib2(n): # return Fibonacci series up to n\n", + "def fib2(n): # return Fibonacci series up to a max value of n\n", " result = []\n", " a, b = 0, 1\n", " while b < n:\n", " result.append(b)\n", " a, b = b, a + b\n", - " return(result)\n", + " return result\n", "```\n", "\n", "Now enter the IPython (or Python) interpreter and import this module with the following command:\n", From 64f35eaa6cdcfb8cdf89268293a811065087db01 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 4 Dec 2018 19:17:03 -0800 Subject: [PATCH 76/78] adding assignment 8 answers --- assignments/answers/assignment8_answers.ipynb | 2726 +++++++++++++++++ 1 file changed, 2726 insertions(+) create mode 100644 assignments/answers/assignment8_answers.ipynb diff --git a/assignments/answers/assignment8_answers.ipynb b/assignments/answers/assignment8_answers.ipynb new file mode 100644 index 0000000..ee3e8c1 --- /dev/null +++ b/assignments/answers/assignment8_answers.ipynb @@ -0,0 +1,2726 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Answers to Assignment 8 - Time Series and Group Operations\n", + "\n", + "Complete the tasks below. Please turn in a single Jupyter notebook named `8_first_last.ipynb` (substitute your first and last name). Please run Kernel > Restart & Run All on your notebook before turning in.\n", + "\n", + "#### Precipitation in La Jolla\n", + "\n", + "For this assignment, we will use a file containing daily precipitation data in La Jolla from February 2009 to November 2018, which were downloaded from [NOAA](https://www.ncdc.noaa.gov/cdo-web/datasets/GHCND/stations/GHCND:US1CASD0030/detail) using \"standard\" (imperial) units (inches for precipitation, feet for elevation). Download the file from [GitHub](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/data/la_jolla_precip_daily.csv).\n", + "\n", + "#### A. Set up the file\n", + "\n", + "1. Import the CSV file as a Pandas DataFrame with default header and index.\n", + "2. Change the 'DATE' column to timestamps using `pd.datetime()`. Alternatively, import the csv file with `parse_dates` set to the columns you want to parse as datetime.\n", + "3. What was the maximum daily precipitation (in inches) during this time period and when was it?\n", + "\n", + "#### B. Explore the dataset\n", + "\n", + "1. We don't need the columns 'SNOW' and 'SNOW_ATTRIBUTES' because there was no recorded snow in the dataset. Delete those columns \"in place\".\n", + "2. Find out about the sampling stations. Notice that the column values are similar between rows except 'DATE' and 'PRCP'. Explore these other columns using three different commands (we haven't covered them yet, but they are easy to use and you can always google them): \n", + " - Use the `value_counts()` method for each of these columns: 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION'. There should only be one cateogory for each calculation because all the data come from the same station. To see what output looks like for a more diverse series, use the `value_counts()` method on 'PRCP' and 'PRCP_ATTRIBUTES'.\n", + " - Make a DataFrame with just the columns 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION' and use the method `drop_duplicates()` to see all the unique combinations of values in those five columns. \n", + " - Create a groupby object using `groupby('STATION')`, then use the `count()` method on that groupby object to count the number of values for each station.\n", + "3. Create columns for 'YEAR', 'MONTH', 'DAY', and 'DAY_OF_YEAR'. Hint: use attributes such as the `.year` attribute, or use a regular expression, with a list comprehension.\n", + "\n", + "#### C. Plot precipitation versus time\n", + "\n", + "1. Use the Matplotlib function `plot()` to plot precipitation versus date as a single line, using a single color from ColorBrewer or xkcd (via Seaborn). Save your plot as a PDF file.\n", + "2. Plot precipitation versus day of year for each year separately, with each year as a different colored line, the x-axis going from the beginning to the end of the year, and a legend indicating the year. Hint: use the 'DAY_OF_YEAR' and 'YEAR' columns you created in B3. Color using a qualitative color palette from Seaborn or ColorBrewer (via Seaborn). Save your plot as a PDF file.\n", + "3. Create a set of subplots with a grid of 2 columns and enough rows to have one subplot per year (e.g., to show 10 years, your set of subplots would be 5 by 2). Plot precipitation versus day of year with each year as a separate subplot. Save your figure as a PDF file.\n", + "\n", + "#### D. Plot distributions of the precipitation data\n", + "\n", + "1. Plot a histogram of precipitation values using the Matplotlib function `hist()`.\n", + "2. Plot a histogram with kernel density and rugplot with the Seaborn function `distplot()`. Play around with the settings to make a histogram that represents the data well.\n", + "3. Use groupby to group the data by year or by month. Which year was the rainiest? Which month was the rainiest?\n", + "4. Make boxplots by year and by month using the Seaborn function `boxplot()`. Hint: If you make a boxplot of your DataFrame without grouping, the boxplots will be centered on zero, because there are so many days with zero precipitation. Instead, use groupby to group the data by year *and* month (use a list containing these columns), set `as_index=False`, average over those groups, and save this as a new DataFrame; then use this for your boxplots.\n", + "\n", + "#### E. Pivoting, stacking and unstacking\n", + "\n", + "1. Use `pivot_table()` to produce a new DataFrame, where rows=years and columns=months, containing the mean precipitation of each month.\n", + "2. Draw a heatmap of years x months where each square is a month colored by mean precipitation. Adjust the colormap to highlight months with heavy precipitation. Hint: Seaborn's `heatmap()` function makes this very easy.\n", + "3. Stack the monthly precipitation table using `stack()`. View the values for 2017. Which month had the most precipitation in 2017? Describe the distribution statistics for all months using `describe()`. How many months are included in this dataset? What was the median month (daily average) value in this time period?\n", + "4. Use `unstack()` to stack precipitation pivot table by month and then year. View the values for December. Which year had the wettest December?" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "sns.set(context='notebook', style='whitegrid')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_palette(sns.color_palette('Paired', 12))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to Question A - Set up the file" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A1. Import the csv file as a Pandas DataFrame with default header and index." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# By default, the index will start with zero and the header will be the first row of the csv file.\n", + "df = pd.read_csv('../../data/la_jolla_precip_daily.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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STATIONNAMELATITUDELONGITUDEELEVATIONDATEPRCPPRCP_ATTRIBUTESSNOWSNOW_ATTRIBUTES
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" + ], + "text/plain": [ + " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", + "0 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "1 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "2 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "3 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "4 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "\n", + " DATE PRCP PRCP_ATTRIBUTES SNOW SNOW_ATTRIBUTES \n", + "0 2009-02-18 0.0 ,,N 0.0 ,,N \n", + "1 2009-02-19 0.0 ,,N 0.0 ,,N \n", + "2 2009-02-20 0.0 ,,N 0.0 ,,N \n", + "3 2009-02-21 0.0 ,,N 0.0 ,,N \n", + "4 2009-02-22 0.0 ,,N 0.0 ,,N " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# It's always good to take a quick look at your DataFrame.\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "STATION object\n", + "NAME object\n", + "LATITUDE float64\n", + "LONGITUDE float64\n", + "ELEVATION float64\n", + "DATE object\n", + "PRCP float64\n", + "PRCP_ATTRIBUTES object\n", + "SNOW float64\n", + "SNOW_ATTRIBUTES object\n", + "dtype: object" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check dtypes\n", + "df.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A2. Change the 'DATE' column to timestamps using `pd.datetime()`." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "df['DATE'] = pd.to_datetime(df['DATE'])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "STATION object\n", + "NAME object\n", + "LATITUDE float64\n", + "LONGITUDE float64\n", + "ELEVATION float64\n", + "DATE datetime64[ns]\n", + "PRCP float64\n", + "PRCP_ATTRIBUTES object\n", + "SNOW float64\n", + "SNOW_ATTRIBUTES object\n", + "dtype: object" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check dtypes again\n", + "df.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Alternatively, import the csv file with `parse_dates` set to the columns you want to parse as datetime." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv('../../data/la_jolla_precip_daily.csv', parse_dates=['DATE'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A3. What was the maximum daily precipitation (in inches) during this time period and when was it?" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "3.35" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['PRCP'].max()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The maximum rainfall over this period was 3.35 inches." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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663US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72010-12-223.35,,NNaNNaN
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" + ], + "text/plain": [ + " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", + "663 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "\n", + " DATE PRCP PRCP_ATTRIBUTES SNOW SNOW_ATTRIBUTES \n", + "663 2010-12-22 3.35 ,,N NaN NaN " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# One way to get information about the maximum precipitation date.\n", + "df[df['PRCP'] == df['PRCP'].max()]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "STATION US1CASD0030\n", + "NAME LA JOLLA 2.1 SE, CA US\n", + "LATITUDE 32.8257\n", + "LONGITUDE -117.25\n", + "ELEVATION 149.7\n", + "DATE 2010-12-22 00:00:00\n", + "PRCP 3.35\n", + "PRCP_ATTRIBUTES ,,N\n", + "SNOW NaN\n", + "SNOW_ATTRIBUTES NaN\n", + "Name: 663, dtype: object" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Another way to get information about the max precipitation value.\n", + "df.loc[df['PRCP'].idxmax()]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The max precipitation occurred on Dec 22, 2010." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to Question B - Explore the dataset" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "B1. We don't need the columns 'SNOW' and 'SNOW_ATTRIBUTES' because there was no recorded snow in the dataset. Delete those columns \"in place\"." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "# Delete these columns because there wasn't any recorded snow.\n", + "df.drop(['SNOW', 'SNOW_ATTRIBUTES'], axis=1, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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STATIONNAMELATITUDELONGITUDEELEVATIONDATEPRCPPRCP_ATTRIBUTES
0US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-180.0,,N
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" + ], + "text/plain": [ + " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", + "0 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "1 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "2 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "3 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "4 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "\n", + " DATE PRCP PRCP_ATTRIBUTES \n", + "0 2009-02-18 0.0 ,,N \n", + "1 2009-02-19 0.0 ,,N \n", + "2 2009-02-20 0.0 ,,N \n", + "3 2009-02-21 0.0 ,,N \n", + "4 2009-02-22 0.0 ,,N " + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Check the DataFrame again.\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "B2. Find out about the sampling stations. Notice that the column values are similar between rows except 'DATE' and 'PRCP'. Explore these other columns using three different commands (we haven't covered them yet, but they are easy to use and you can always google them): " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Use the `value_counts()` method for each of these columns: 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION'. There should only be one cateogory for each calculation because all the data come from the same station. To see what output looks like for a more diverse series, use the `value_counts()` method on 'PRCP' and 'PRCP_ATTRIBUTES'." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "# These columns refer to the stations where data was collected.\n", + "columns = ['STATION', 'NAME', 'LATITUDE', 'LONGITUDE', 'ELEVATION']" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "US1CASD0030 3514\n", + "Name: STATION, dtype: int64 \n", + "\n", + "LA JOLLA 2.1 SE, CA US 3514\n", + "Name: NAME, dtype: int64 \n", + "\n", + "32.8257 3514\n", + "Name: LATITUDE, dtype: int64 \n", + "\n", + "-117.2501 3514\n", + "Name: LONGITUDE, dtype: int64 \n", + "\n", + "149.7 3514\n", + "Name: ELEVATION, dtype: int64 \n", + "\n" + ] + } + ], + "source": [ + "# Count the times each value was observed in each column.\n", + "for column in columns:\n", + " print(df[column].value_counts(), '\\n')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.00 3011\n", + "0.01 110\n", + "0.02 68\n", + "0.03 38\n", + "0.04 25\n", + "0.07 20\n", + "0.05 16\n", + "0.08 15\n", + "0.06 12\n", + "0.12 9\n", + "0.16 8\n", + "0.09 8\n", + "0.25 8\n", + "0.13 7\n", + "0.17 6\n", + "0.10 6\n", + "0.34 6\n", + "0.63 5\n", + "0.14 5\n", + "0.24 5\n", + "0.18 4\n", + "0.20 4\n", + "0.35 4\n", + "0.30 4\n", + "0.15 4\n", + "0.27 4\n", + "0.38 4\n", + "0.19 3\n", + "0.41 3\n", + "0.11 3\n", + " ... \n", + "0.76 1\n", + "1.50 1\n", + "2.00 1\n", + "1.18 1\n", + "3.35 1\n", + "1.23 1\n", + "0.48 1\n", + "1.34 1\n", + "0.55 1\n", + "2.02 1\n", + "0.83 1\n", + "0.46 1\n", + "0.87 1\n", + "0.40 1\n", + "1.37 1\n", + "0.84 1\n", + "0.51 1\n", + "0.58 1\n", + "0.36 1\n", + "1.55 1\n", + "0.81 1\n", + "0.93 1\n", + "0.64 1\n", + "1.10 1\n", + "0.54 1\n", + "0.67 1\n", + "2.45 1\n", + "0.47 1\n", + "0.26 1\n", + "0.23 1\n", + "Name: PRCP, Length: 89, dtype: int64 \n", + "\n", + ",,N 3245\n", + "T,,N 269\n", + "Name: PRCP_ATTRIBUTES, dtype: int64 \n", + "\n" + ] + } + ], + "source": [ + "for column in ['PRCP', 'PRCP_ATTRIBUTES']:\n", + " print(df[column].value_counts(), '\\n')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The results are pretty boring when all columns have the same values. The last two examples have more variation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Make a DataFrame with just the columns 'STATION', 'NAME', 'LATITUDE', 'LONGITUDE', and 'ELEVATION' and use the method `drop_duplicates()` to see all the unique combinations of values in those five columns. " + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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STATIONNAMELATITUDELONGITUDEELEVATION
0US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.7
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" + ], + "text/plain": [ + " STATION NAME LATITUDE LONGITUDE ELEVATION\n", + "0 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[columns].drop_duplicates()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This shows the unique combinations of these five columns. All rows have the same values." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Create a groupby object using `groupby('STATION')`, then use the `count()` method on that groupby object to count the number of values for each station." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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NAMELATITUDELONGITUDEELEVATIONDATEPRCPPRCP_ATTRIBUTES
STATION
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" + ], + "text/plain": [ + " NAME LATITUDE LONGITUDE ELEVATION DATE PRCP PRCP_ATTRIBUTES\n", + "STATION \n", + "US1CASD0030 3514 3514 3514 3514 3514 3514 3514" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "grouped_station = df.groupby('STATION')\n", + "grouped_station.count()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Groupby combined with count gives us information about the number of values in each column for a given value of 'STATION'. Here they are all the same." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "B3. Create columns for 'YEAR', 'MONTH', 'DAY', and 'DAY_OF_YEAR'. Hint: use attributes such as the `.year` attribute, or use a regular expression, with a list comprehension." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "# We can add columns for year, month, day, and day of year.\n", + "df['YEAR'] = [x.year for x in df.DATE]\n", + "df['MONTH'] = [x.month for x in df.DATE]\n", + "df['DAY'] = [x.day for x in df.DATE]\n", + "df['DAY_OF_YEAR'] = [x.dayofyear for x in df.DATE]" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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STATIONNAMELATITUDELONGITUDEELEVATIONDATEPRCPPRCP_ATTRIBUTESYEARMONTHDAYDAY_OF_YEAR
0US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-180.0,,N200921849
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2US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-200.0,,N200922051
3US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-210.0,,N200922152
4US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-220.0,,N200922253
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" + ], + "text/plain": [ + " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", + "0 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "1 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "2 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "3 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "4 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "\n", + " DATE PRCP PRCP_ATTRIBUTES YEAR MONTH DAY DAY_OF_YEAR \n", + "0 2009-02-18 0.0 ,,N 2009 2 18 49 \n", + "1 2009-02-19 0.0 ,,N 2009 2 19 50 \n", + "2 2009-02-20 0.0 ,,N 2009 2 20 51 \n", + "3 2009-02-21 0.0 ,,N 2009 2 21 52 \n", + "4 2009-02-22 0.0 ,,N 2009 2 22 53 " + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These extra columns of date information will come in handy below." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to Question C - Plot precipitation versus time" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "C1. Use the Matplotlib function `plot()` to plot precipitation versus date as a single line, using a single color from ColorBrewer or xkcd (via Seaborn). Save your plot as a PDF file." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, 1, figsize=(6,5))\n", + "\n", + "title = 'Daily precipitation in La Jolla'\n", + "color = sns.xkcd_rgb['indigo']\n", + "\n", + "ax.plot(df['DATE'], df['PRCP'], color)\n", + "ax.set_title(title)\n", + "ax.set_xlabel('Date')\n", + "ax.set_ylabel('Precipitation (inches)')\n", + "\n", + "fig.savefig('precipitation_single_line.pdf')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This is a basic Matplotlib plot, with subplots to provide figure and axis handles, and Seaborn for the color." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "C2. Plot precipitation versus day of year for each year separately, with each year as a different colored line, the x-axis going from the beginning to the end of the year, and a legend indicating the year. Hint: use the 'DAY_OF_YEAR' and 'YEAR' columns you created in B3. Color using a qualitative color palette from Seaborn or ColorBrewer (via Seaborn). Save your plot as a PDF file." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# version 1 - Seaborn plot with Seaborn HSLuv color palette\n", + "fig, ax = plt.subplots()\n", + "sns.lineplot(x='DAY_OF_YEAR', y='PRCP', hue='YEAR', palette=sns.color_palette(\"husl\", 10), ax=ax, data=df)\n", + "ax.set_xlabel('Day of year')\n", + "ax.set_ylabel('Precipitation (inches)')\n", + "fig.savefig('precipitation_by_year_v1.pdf')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Seaborn with a hue allows us to avoid a loop." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# version 2 - Matplotlib plot with ColorBrewer Paired color palette\n", + "with sns.color_palette(\"Paired\"):\n", + " fig, ax = plt.subplots()\n", + " for year in df.YEAR.unique():\n", + " dfx = df[df.YEAR == year]\n", + " ax.plot(dfx.DAY_OF_YEAR, dfx.PRCP, label=year)\n", + " ax.set_xlabel('Day of year')\n", + " ax.set_ylabel('Precipitation (inches)')\n", + " ax.legend()\n", + " fig.savefig('precipitation_by_year_v2.pdf')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Matplotlib requires us to plot each year separately. A for loop works well for this." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "C3. Create a set of subplots with a grid of 2 columns and enough rows to have one subplot per year (e.g., to show 10 years, your set of subplots would be 5 by 2). Plot precipitation versus day of year with each year as a separate subplot. Save your figure as a PDF file." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Seaborn relplot with facets\n", + "sns.relplot(x='DAY_OF_YEAR', y='PRCP', col='YEAR', col_wrap=2, color='k',\n", + " height=3, aspect=1.7, linewidth=1.5, kind='line', data=df)\n", + "plt.savefig('precipitation_by_year_grid_v1.pdf')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The easiest way is with Seaborn facets." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Matplotlib subplots\n", + "fig, ax = plt.subplots(5, 2, figsize=(10, 15))\n", + "i = 0\n", + "for year in range(df.YEAR.min(), df.YEAR.max()+1):\n", + " row, col = int(np.floor(i/2)), i % 2\n", + " axis = ax[row][col]\n", + " sns.lineplot(x='DAY_OF_YEAR', y='PRCP', color='k', ax=axis, data=df[df.YEAR == year])\n", + " axis.axis([0, 366, 0, np.ceil(df.PRCP.max())])\n", + " axis.set_ylabel('%s precipitation (in.)' % year)\n", + " axis.set_xlabel(None)\n", + " i += 1\n", + "ax[-1][0].set_xlabel('Day of year')\n", + "ax[-1][1].set_xlabel('Day of year')\n", + "fig.tight_layout()\n", + "plt.savefig('precipitation_by_year_grid_v2.pdf')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "With matplotlib subplots, the trick is to figure out the axis array coordinates for each subplot." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Matplotlib subplots (without 1-dimensional axis array)\n", + "fig, ax = plt.subplots(10, 1, figsize=(10, 20))\n", + "i = 0\n", + "for year in range(df.YEAR.min(), df.YEAR.max()+1):\n", + " sns.lineplot(x='DAY_OF_YEAR', y='PRCP', color='k', ax=ax[i], data=df[df.YEAR == year])\n", + " ax[i].axis([0, 366, 0, np.ceil(df.PRCP.max())])\n", + " ax[i].set_ylabel('%s precipitation (in.)' % year)\n", + " ax[i].set_xlabel(None)\n", + " i += 1\n", + "ax[-1].set_xlabel('Day of year')\n", + "fig.tight_layout()\n", + "plt.savefig('precipitation_by_year_grid_v3.pdf')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The axis array is simpler if we have only one column of plots. This looks nice, actually, but it's not what we were going for." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to Question D - Plot distributions of the precipitation data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "D1. Plot a histogram of precipitation values using the Matplotlib function `hist()`." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Matplotlib histogram\n", + "fig, ax = plt.subplots()\n", + "ax.hist(df['PRCP'], bins=50)\n", + "ax.set_xlabel('Daily precipitation (inches)')\n", + "ax.set_ylabel('Day counts');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This basic histogram shows that most days have zero precipitation, but not much else." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "D2. Plot a histogram with kernel density and rugplot with the Seaborn function `distplot()`. Play around with the settings to make a histogram that represents the data well." + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/luke/miniconda3/envs/python3/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, + { + "data": { + "image/png": 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PYvjw4SXmvfHGG0YJQ0RElkfvEcW4ceMQGRmJvLw8tGvXTpqv0+nQqlUrk4QjIiLz01sovv32W2RkZGDGjBlYtGjRv2+wsoKrq6tJwhERkfnpLRQODg5wcHDA+vXroVKpkJubK3VsP3z4EM7OziYLSURE5mPwhrstW7Zg4cKFUKvVUqHgVU9ERM8Pg4Xi+++/x+bNm9GyZUtT5CEiIgtj8KqnGjVqsEgQET3HDBaKbt26YdOmTUhJSanUndlZWVkYPHgwEhMTSyxbtWoVevfuDT8/P/j5+SEkJKRi6YmIyOgMnnpau3YtVCoV5s2bJ80rbx/FxYsXMWvWLNy6davU5VFRUfjqq6/Qtm3b8icmIiKTMlgoLl26VOnGt23bhjlz5uDjjz8udXlUVBSCg4ORlJSEjh07Ytq0abCxsan09oiI6MkzeOpJp9Phu+++w5gxYzBy5EisWrUKGo2mXI0vWLAAHTp0KHVZdnY2mjdvjqCgIOzcuRMPHz7E6tWrK5aeiIiMTiYKr3nVY+nSpYiJicHIkSOh0+mwdetWvPDCC5g5c2a5N/LSSy9h/fr1qFu3rt51rly5ghkzZmDXrl0G28vPz0dUVFS5t2/JrOyccTry3/6bLq3qQpPLsbSIyHi8vLwqdPbG4KmnEydOYMeOHVAqlQCAXr164ZVXXql8wn8kJycjLCwMAQEBAAqenGdlZTBOMRX9sJbo4pXr8KjvIU3XcneDm0sjMyayHBEREWjfvr25Y1gc7hf9uG/0i4iIgJeXV6X+yDZ46kkIIRUJALC2ti42XVm2trZYunQpEhISIIRASEgIXn755cdul4iIniyDhaJZs2ZYuHAh4uPjkZCQgEWLFsHT07PSG5wwYQIiIyPh4uKCefPm4b333kP//v0hhMCbb75Z6XaJiMg4DJ7rmTNnDubPn48RI0ZAp9OhW7du+PTTTyu0kdDQUOn1d999J7329fWFr69vhdoiIiLTMlgoHBwcsHjxYlNkISIiC2SwUJw5cwZr167FgwcPis3fvn270UIREZHlMFgoZs2ahTFjxqB+/fqmyENERBbGYKGoXr06xo4da4osRERkgQwWipdeegkhISHo3r17sfscateubdRgRERkGQwWivT0dHz11Vews7OT5slkMpw/f96owYiIyDIYLBRHjx7FyZMnUaNGDVPkISIiC2Pwhrvq1avDxcXFFFmIiMgCGTyi8PT0xKhRo9C7d29YW1tL83kXNRHR88FgocjLy0PDhg31PnyIiIiebQYLxaJFi0yRg4iILJTBPgoiInq+sVAQEVGZ9BaKkJAQAEBCQoLJwhARkeXRWyg2bNgAIQQCAwNNmYeIiCyM3s7shg0bwtvbGxqNBu3atZPmCyF4ZzYR0XNEb6H49ttvcefOHUyYMAFr1641ZSYiIrIgek89yeVy1K5dG9u2bQMAnD17FmFhYdBqtahTp47JAhIRkXkZvOrp/PnzGD58OA4fPow//vgDw4cPx5EjR0yRjYiILIDBG+5WrFiBjRs3onHjxgCAa9euISgoCH379jV6OCIiMj+DRxRqtVoqEgDQpEkTaLVao4YiIiLLYbBQ2NraIjIyUpqOjIws9mwKIiJ6thk89RQUFIRJkybBw8MDMpkMN27cwIoVK0yRjYiILIDBQtGhQwfs3bsXFy9ehE6ng7e3N6pVq2aKbEREZAEMFgoAcHZ2Rs+ePY2dhYiILBAHBSQiojKxUBARUZnKVShUKhUePHiAjIwM6ac8srKyMHjwYCQmJpZYFh0dDX9/f/j6+mLmzJnQaDQVS05ERCZhsFBs3rwZHTp0QJcuXeDj4yP915CLFy9i5MiReh+hGhQUhNmzZ+PgwYMQQkhDhRARkWUxWCjWrVuHzZs3Izo6GtHR0YiJiUF0dLTBhrdt24Y5c+bAzc2txLKkpCTk5eXB29sbAODv748DBw5UIj4RERmbwaueatSogZYtW1a44QULFuhdlpqaCldXV2na1dUVKSkpFd4GEREZn8FC0a1bN2zatAl9+vSBjY2NNN/Z2bnSG9XpdJDJZNJ04TMuKioqKqrSGSyFlZ0z4uLjpOlaVbVIuFm+PqDnQUREhLkjWCTuF/24b/Sr7HemwUKxdu1aqFQqzJs3T5onk8nKdfpJH3d3d9y9e1eavnfvXqmnqAzx8vIqVryeRhevXIdHfQ9pupa7G9xcGpkxkeWIiIhA+/btzR3D4nC/6Md9o19ERAS8vLwqVSwMFopLly5VKlRZ6tSpAxsbG+mXunv3bvTo0eOJb4eIiB6fwc5snU6H7777DmPGjMHIkSOxatWqSl/KOmHCBGmAwWXLlmHRokXo378/cnJyMHbs2Eq1SURExmXwiOLLL79ETEwMxo0bB51Oh61bt2Lx4sWYOXNmuTYQGhoqvf7uu++k182aNcP27dsrEZmIiEzJYKE4ceIEduzYAaVSCQDo1asXXnnlFaMHIyIiy2Dw1JMQQioSAGBtbV1smoiInm0GC0WzZs2wcOFCxMfHIyEhAYsWLYKnp6cpshERkQUwWCjmzJmDBw8eYMSIEXj11Vdx//59fPrpp6bIRkREFsBgH4WDgwMWL15siixERGSB9BaKDz74ACtWrMCQIUNKXb5nzx6jhSIiIsuht1BMmDABAHiaiYjoOae3UHh5eQEAdu3ahYULFxZbFhgYiE6dOhk3GRERWQS9hWLOnDlISUlBREQE0tLSpPkajQYJCQkmCUdEROant1AEBATg2rVruHr1Knx9faX5CoVCeo4EERE9+/QWilatWqFVq1bo2rUr3N3dTZmJiIgsiMHLY+fOnVvq/P/+979POgsREVkgg4Wi6GkntVqNgwcPSh3dRET07DNYKIYNG1ZiesyYMUYLRERElsXgEB6PEkIgNTXVGFmIiMgCGTyimDRpUrHp2NhY3kNhJPcf5CLqxn04pWTCvXoV1HVzNHckIqKK9VHIZDKMHDkS3bp1M2qo502+SouTF5MQE5cuzZPLAF+fBnijf3M42VubMR0RPe/K1UeRnp6O//3vf7CyskKbNm2gUChMke25kHg3B5sPJyAnT412Td3Qp2M9KK3kOBN1BwfCb+H4hSRMG9sBbT3dzB2ViJ5TBvsojh07hv79+2PdunVYvXo1Bg4ciHPnzpki2zMvIzMfIUfiIZcBw3s3gU+rWqhX0xEPslRo1sAFr/f1hEIuw5L1fyEhJdPccYnoOWWwUKxYsQIbN27Exo0bsXnzZgQHB2PRokWmyPZM02p1WLrxL+TmazGga0PUdKlSYp3qVe3wSvcXIJfLMDs4DHfTc82QlIiedwYLhUwmQ5MmTaTpli1bQghh1FDPg5CDMbj09z280rU2XJ3t9K5X1cEGU0e0Q06+Bl+sPwutVmfClEREZRSKjIwMZGRkwMvLC+vWrUN2djZyc3MREhKCLl26mDLjMycxNRM7jv6NPh3roZ1nNYPr13a1x9gBzREbn4Gf9l5BaloOMnNUJkhKRFRGZ3aXLl0gk8mko4elS5dKy2QyGaZNm2b8dM+on/degY1SgfGDWiIuIdHg+vlqLRQKOZrUc8Zvx6/D2koO3y4N4FiFV0MRkfHpLRQxMTGmzPHcuHzjPk5H3cEbA5rB2dEGcRV4b4+2dZB8NwuHz8WjT8f6RstIRFSU3kKxe/du+Pn54ccffyx1+Ztvvmm0UM8qIQR+/P0yXJxs4dejUYXfb2tthV7t62HvqZs4dCYO4we3NEJKIqLi9BaKuLiCv3VjY2NNFuZZdy46BVfj0jHlVW/YWhu8haVUDWo5oWFtJ/x+8iYGd3sBNcroCCciehL0flsFBgYCAGrUqIGPPvrIZIGeZb8e/Ruu1ezQp2O9x2qnW5va2HI4Fj/suYyPx3R4QumIiEpXrhvu6PHFxqfj8o37eKV7I1gpKjwWYzFO9jYY4NMAJ/6XhEt/331CCYmISmfw/EfdunXx1ltvoV27drC3t5fml6ePYs+ePVizZg00Gg3GjRuH0aNHF1u+atUq7NixA05OTgCA1157rcQ6z4qdx/6Gva0V+nV+Mp3QA3wa4MzlO/jvr5FY+VGvxy4+RET6GCwUzs7OAICkpKQKNZySkoLly5fj119/hbW1NUaMGIHOnTujcePG0jpRUVH46quv0LZt2wrGfrrcuZ+NsEvJGNqzMarYKp9Im9ZKBd4d2grzfziD30/ewNCejQ2/iYioEgwWij59+qBv377F5u3atctgw2FhYejSpYtUaHx9fXHgwAFMmTJFWicqKgrBwcFISkpCx44dMW3aNNjY2FT0M1i8PSduQCaTYUj3F55oux1b1ESH5jWx6eBV9GhbF0orOXLzNNJyO1sr3mtBRI9Nb6EIDQ2FRqPBkiVLIISQbrzTaDT45ptvMHTo0DIbTk1NhaurqzTt5uaGS5cuSdPZ2dlo3rw5goKC4OHhgenTp2P16tWYOnVqucNHRUWVe11zUWl0OHj6NprXs0Xc9Ssl7puwsnNGXPy/c+tUVxab1jevVlUtEm5mwKexDBeuavDlzyfwWp8XcDry3xv4urSqC01uxhP/TKYUERFh7ggWiftFP+4b/Sr7nam3UERHR+P06dO4f/8+1q9f/+8brKwwfvx4gw3rdDrIZDJpWghRbNre3h7fffedNP3WW29hxowZFSoUXl5eFn8EcvD0LeSrkzFmSHu0aFi9xPKLV67Do76HNO3g4FBsWt+8Wu5ucHMpuBcjNTcaW4/EYoDKtth6Rdd5GkVERKB9+/bmjmFxuF/0477RLyIiAl5eXpUqFnoLxeTJkzF58mSEhIRUqoPZ3d0df/31lzR99+5duLn9+0yF5ORkhIWFISAgAEBBIbGyqty9BZZKCIF9p26hQS0nNG/gYrTtBPRpgtCIBIQcjMGQbgWjzRIRPSkGL5Xp168f/vjjDwDAsmXLMG7cuHIN79G1a1eEh4cjLS0Nubm5OHToEHr06CEtt7W1xdKlS5GQkAAhBEJCQvDyyy8/xkexPFfj0nEj+QEGvtiw2NHUk2ZrbYV3XvFCYmoWom7cM9p2iOj5ZLBQfPLJJ0hISEB4eDiOHz8OPz8/fP755wYbrlmzJqZOnYqxY8di6NChGDx4MFq3bo0JEyYgMjISLi4umDdvHt577z30798fQohnbliQvWE3YWdjhV7t6hp9Wz6taqFFQxecuXwH2Xlqo2+PiJ4fBs/1ZGRkYPz48Vi8eDEGDx4Mf39/hISElKvxIUOGYMiQIcXmFe2X8PX1LfZM7mfJg6x8nPxfMny7eMDOxvin1GQyGUb7NsPsteH483wiBvg0MPo2iej5YPCIQq1WQ61W48SJE+jatStyc3ORk5NjimxPtSNn46HR6jCgawOTbdO9uj06e7njZvJDxMY/3Vc7EZHlMFgo+vTpAx8fH1SrVg1eXl549dVXMXjwYFNke2ppdQL7w2/Bq1F1eLg7mXTbbZq4wr16FZz4XxLSM/NMum0iejYZLBSBgYH4/fffpUtkly1bhsmTJxs92NPswtVUpKTlYGDXhibftlwmQ58O9aHR6rDut8t8dCoRPbZKPY8iPDz8met4fpL2nrqJao426OJVyyzbd3a0QY+2dXA0IhEb9kc/kedWZOaoit31DfDOb6LnBZ9H8YTduZ+NiJgUvNbXE0or8w3U16Jhdeh0AjuO/o0m9avhxda1H6u93DwNzl9NLTavXVM3Fgqi54DB51EsWrTIZGGeBfvDbkEmk8G3cwNzR8HIfs1w534Ovt58Hi6Otmje0Hg3/RHRs6vMP3kPHz6MESNGoG3btujatSvGjx+P48ePmyrbUyc3X4ODZ+Lg06oWXKuZ/8lzSis5Zr7ZCS5Otpj7fThi49PNHYmInkJ6C8X+/fuxdOlSvPHGG/jll1+wYcMG6Wa7Q4cOmTLjUyP0rwRk56rh19344ytptDqkpuUU+8lXa0usV83JFgveexFO9taYvTYcMbfSSqyTmaMq1k5mjsro+Yno6aH31NP69evx008/oXbtf89tN2rUCN7e3pgxYwb69etnkoBPC51OYM+J6/Cs74xmDaoZfXv5ai0u/V18uI6mHqVvt4azHRZMehGz/huGT1afxIShrTDAp4E0rMij/Q/seyCiovQeUWRnZxcrEoXMu1VvAAAZzklEQVQaNmyI/Px8o4Z6Gp2/moqku9l4pXsjo47rVFluLlXw1f/1QJsmrliz4xKWhUQg/SHvsyAiw/QeUSgUCr1vKnw2Bf1r95/X4eJkixfbPN7VRcbkUMUas9/ugq1HYrHtyFWcu5KCES97okPzmuaORkQW7Nka19tMYuLS8L9rdzF+UAuLf3a1XC7DyH5N0bNtHXz/WxR+/P0KthyOhWd9ZzRv4AIXJ1tzRyQiC6O3UFy9ehXt2rUrMV8IAZWKnZ1FbTl0FU721hj4ounvxK6s2q4OmP12F0TfTMP20Fj8FZ2Ci9fuwdnBBn8nPkCbxjXQqK6zdC9IaR3lRPR80FsoDh8+bMocT63Y+HRExKRi7MDmJhkl9klr3tAFE4e1RssXknAj6QGuJz3AkXPxOHQmDlYKOeq42qNeTUf0aFunxFMKiej5oPebrU6dOqbM8dTafOgqHKsoMegpOpooTRVbJbwa1YBXoxrwqOWIYxGJSEjJREJKFuLuJOPkxWQ42ClRr6YjGtd1Rl03B3NHJiITefr+BLYgV+PS8Fd0Ct4Y0AxVbJXmjvPE2FpboWHtqmhYuyoA4GG2CmqNFueupOB6Ygaib6XBzsYKsfHp6N+1AZrWr8YjDaJnGAtFJel0AsE7I+HiZIMh3V4wdxyjcrK3RlOPaqhe1Q4arQ7xdzIRG5+OPy8k4Y+/ElCrhj0Gdm2Ivp3qQwhRbPBADhxI9PRjoaikI+ficS0hAx+OavdMHU0YYqWQ44U6VfFCnapo5lENfyc+wKEzcVj3WxQ2HohGl5buqFXDHtWrFgxhwpv3iJ5+LBSVkJWrxvp9V9C8gYtJnodtqarYKtG3U3307VQf1xMzsPfUTRw7nwi1Roc6rg5o3aQGvJu4mjsmET0my77o30L9vPcKMrNVmOTf+rHPzc9aF4Vvt1+UfvaF3cTaXZH4ee8V7Dz2N85evoN9YTel6cKffWE3AUCaPnv5DuasDcfPe68AAM5evoPdx69L29l0MKbYdh+dPnv5jvTZ9oXdlNostGLrBZy9fAdnL98ptqywnUZ1nRH4elv06VAPPl618CArH/vDbmHiF0ew68/ryM5V690HRbMUfX300oNy7cNPvj1Z5vJHP+uTsulgTInshdPG2qaxVSS3sdZ9Eoyxvaf1d/oksFBU0KmLyTgQfgt+PRvjhTpVn3j7B8LjoNbokJWrRvK9bJyLTsGB8DhpuvDnQHjB80IKp89FpyA9Mx9Z/3whn4tOwW8nbkjtbj50tdh2Hp0+F50CoOBo6UB4nNRmoeuJD3AuOgXnolOKLXu0nQOn49CumRvGDGgOANAJYN1vUXhz/kGs3n4RsfHpJe7sL9pG0dd/RmWWa59F3bhf5vJHMz4pmw9dLZG9cNpY2zS2iuQ21rpPgjG297T+Tp8EnnqqgNv3srFy2wU0rV8NYwc2N3cciyaX/3uk9elbnfHHuXj8cS4e+8NvoV5NR/h28UCvdnVR1cHmsbZTONJtalqONM+YHeilPenvXkYOdEWeOFs0C9GzgIWinHLzNViy4RxkMhmCxnSw+KE6LEnawzy0beqGFi9Ux7WEDMTfeYjvd0fhp98vw6tRDQBASloOarpUqXDbhV/aphr9trQn/WXmqHE17t9nfTy6nOhpx0JRDrn5Gnz2/WncSH6ImW92qtQXGgE2SgW8XqiOsQOaIzdfg6MRCTjzT1/HOwsOw8PdEQBw9sodNK1v/KHaiah8WCgMyMvXYN6604i+eR//b3QHdGrhbu5IzwSPWk4YP7glxg9uiSEf7cbbr7TE2cspADIxf90Zab2vNkXAs3411Hd3RP2aTnB2fLxTVURUcSwUZbiZ/ABLN/6FpNQsfDiqPbq35bAmxjK0Z2MM7dkYQz7ajUXvv4iYuHT8vPcKLly9i6MRidJ6TvbWqFfTEXXdHOBe3V4aXytPpYGttfH/Oet0Ann5Gqi1/3ZK3Eh6gNv3sqVpTZFlRM8CFopS5Ku12HvyBjYeiIGDnRKfvesDb083c8eqlKIdq6lpOZDLIXW8Fi6r7MiwhV+IFe28LXyMa1FFO4TdqlWBe/Uq+HnvFSwL7I6MzHwk38vG3YwcpKbnIv5OJk5H3caDrH9HMV7322XYKBVwcrBG2KVkVHOyhbODjdRZ/ndCBmxtFLCzsYKttRVsrRUQANQaHVRqLTRaHfLVWjzMUiE9Mw/pmfnIyMxH2sM8pD/MR9rD3ILXmfl49HEsX2+5UGw6eGckAGDK0lBUc7KFq7MdPGo5oUk9Z9Sr6WhRNyCW1jmfmaMymLE8FxE82nZqWo7R79S3tXeWMj3u9krbN88roxaKPXv2YM2aNdBoNBg3bhxGjx5dbHl0dDRmzpyJ7OxsdOjQAZ999hmsrMxXu9Iz83AsIhG/HvsbGZn56NTCHYGvez/2lTnmVLRj9fzVVDT1qCZ1vBYu0/cIVUMKC0xFO29Le4xr0Q7hwpwAcCH2rrROr3b14FakfygnT43om2mY+/1pdG1dCw+zVXiYpULyvWxcuZlWrABO/frPin04ADJZwRGMi5MtXJxs0bB2VdhaK5CemQ+llVw60nlveGskpmRhz8mCy5E7t3THmct3IADE38lE1PX7xY4ynB1tUP+fo6L6NR1Rz90R9Wo6wtnBxuRjZpXWOZ+bp4FjFeuCoyeVBvkqLTRaAa1OB61OQKvV4W56LgBgf/gtKOQyKOQytG5cA+417GGlkENpJcfDLBUu/X1X+kznr6Ya/U59je7ff4+Pu73S9s3zymjfyikpKVi+fDl+/fVXWFtbY8SIEejcuTMaN24srRMUFITPP/9ceg73tm3bMGrUKGNFKkanE0jPzMPN5If4OzED/4u9iys370MIoHXjGpg2poN0RQ5Zpiq2BaPZAkDbIkd8hcVQrdEhJ0+NjQdiMPPNTsjL1yBXpUVevgZ5+RrI5TIoreRQWimgtJLDWilHVQcbODvYoJqTLaraW0PxyNVtqWk50pdHYaFo3sAF8iJf8B2a18SZy3ekMcCEEPBwd0JOvuafEXkzEZ+SiWPnE5FT5C/WwtF567s7oq5bQSFxdrCBo701HKsoYWdjVe5CIoRAvkqL7Dw1cvI0yMlTIztPg9w8DbLz1MjOVSM7T4176blIvJuFfJUWqn8K67RVJ5Cr0iI3Tw2dgYdZbg+9Jr3eVMp9BjIZoPxnH248EI3fTtyAg50SttYK2NoUHNnZWlvB5p//PjpfqZQDouDzCKDI0ZyAEIBOCOh0AjpR8P90XGI60nMK9lHU9XvIyMxHFTurgnV1hev+86MraFAul0Eul0Emk0Euk/0zDWTnqJF0NwsymQyFu/1YRAKslQrYWCtg889/rZX/vrb55/Wj/26edkYrFGFhYejSpQucnZ0BAL6+vjhw4ACmTJkCAEhKSkJeXh68vb0BAP7+/li5cmW5CkXhDVuVeYBSUmoWVu+4hHsZOdAW/l8gA+q6OuAN3yZo36ymNIS2KZ4N7myv/5GzhsihLfX9RefLoZW2I4cWWo1aWl64TKtRS9OPtlf0/Y8q+r6in+fR9xRdXvi+R9/zaK7S2taoVcjPL55Do1aVWK+wLRsrwMbBCs72CrRt4lLqPiyLRqOG5pEzDxq1qsTnK5q98PMWyyQrWLdRHQe0esFZaksIgYysfNy+l43ke1m4fS8HyfeycfnvFJyJTMSjFHIZ7GysoBNa2B47AoVMBrm84AtJq9NBo9VBq9VBrRXIV2shDH3LywpGClbIAaWVAg62CjjbK9C6UTU4O9qgiq0V7GyUsFHKoVDIoZAXbE8hB3JyNdhwIBq92teFEAJarUCtGg6wtVZAq9NBrRF4kJWP5HtZ0GgEYuLS0MC9oE9JCECl1uJBZj5S1Tq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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Seaborn distplot\n", + "sns.distplot(df.groupby(['YEAR', 'MONTH']).sum().PRCP, color='b', bins=50, rug=True, kde=True)\n", + "plt.xlabel('Monthly precipitation (inches)')\n", + "plt.ylabel('Distribution of months (not counts)');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here we are plotting the sum for each month using groupby and sum. Distplot gives us the histogram plus a kernel density estimate and rugplot." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "D3. Use groupby to group the data by year or by month. Which year was the rainiest? Which month was the rainiest?" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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STATIONNAMELATITUDELONGITUDEELEVATIONDATEPRCPPRCP_ATTRIBUTESYEARMONTHDAYDAY_OF_YEAR
0US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-180.0,,N200921849
1US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-190.0,,N200921950
2US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-200.0,,N200922051
3US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-210.0,,N200922152
4US1CASD0030LA JOLLA 2.1 SE, CA US32.8257-117.2501149.72009-02-220.0,,N200922253
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" + ], + "text/plain": [ + " STATION NAME LATITUDE LONGITUDE ELEVATION \\\n", + "0 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "1 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "2 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "3 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "4 US1CASD0030 LA JOLLA 2.1 SE, CA US 32.8257 -117.2501 149.7 \n", + "\n", + " DATE PRCP PRCP_ATTRIBUTES YEAR MONTH DAY DAY_OF_YEAR \n", + "0 2009-02-18 0.0 ,,N 2009 2 18 49 \n", + "1 2009-02-19 0.0 ,,N 2009 2 19 50 \n", + "2 2009-02-20 0.0 ,,N 2009 2 20 51 \n", + "3 2009-02-21 0.0 ,,N 2009 2 21 52 \n", + "4 2009-02-22 0.0 ,,N 2009 2 22 53 " + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# We added 'YEAR' and 'MONTH' above. We also added 'DAY' and 'DAY_OF_YEAR'\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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YEARLATITUDELONGITUDEELEVATIONPRCPMONTHDAYDAY_OF_YEAR
4201332.8257-117.2501149.70.0127556.50137715.688705182.214876
0200932.8257-117.2501149.70.0134397.32165616.006369207.334395
9201832.8257-117.2501149.70.0155955.65594915.418006156.167203
5201432.8257-117.2501149.70.0228576.51098915.678571182.500000
2201132.8257-117.2501149.70.0260226.56582615.647059184.137255
6201532.8257-117.2501149.70.0277756.54120915.760989183.500000
3201232.8257-117.2501149.70.0280006.47777815.627778182.272222
7201632.8257-117.2501149.70.0356566.51366115.756831183.500000
8201732.8257-117.2501149.70.0370226.46348315.966292181.331461
1201032.8257-117.2501149.70.0572146.52367715.841226183.036212
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" + ], + "text/plain": [ + " YEAR LATITUDE LONGITUDE ELEVATION PRCP MONTH DAY \\\n", + "4 2013 32.8257 -117.2501 149.7 0.012755 6.501377 15.688705 \n", + "0 2009 32.8257 -117.2501 149.7 0.013439 7.321656 16.006369 \n", + "9 2018 32.8257 -117.2501 149.7 0.015595 5.655949 15.418006 \n", + "5 2014 32.8257 -117.2501 149.7 0.022857 6.510989 15.678571 \n", + "2 2011 32.8257 -117.2501 149.7 0.026022 6.565826 15.647059 \n", + "6 2015 32.8257 -117.2501 149.7 0.027775 6.541209 15.760989 \n", + "3 2012 32.8257 -117.2501 149.7 0.028000 6.477778 15.627778 \n", + "7 2016 32.8257 -117.2501 149.7 0.035656 6.513661 15.756831 \n", + "8 2017 32.8257 -117.2501 149.7 0.037022 6.463483 15.966292 \n", + "1 2010 32.8257 -117.2501 149.7 0.057214 6.523677 15.841226 \n", + "\n", + " DAY_OF_YEAR \n", + "4 182.214876 \n", + "0 207.334395 \n", + "9 156.167203 \n", + "5 182.500000 \n", + "2 184.137255 \n", + "6 183.500000 \n", + "3 182.272222 \n", + "7 183.500000 \n", + "8 181.331461 \n", + "1 183.036212 " + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.groupby(['YEAR'], as_index=False).mean().sort_values('PRCP')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer: The rainiest year was 2010. " + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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MONTHLATITUDELONGITUDEELEVATIONPRCPYEARDAYDAY_OF_YEAR
7832.8257-117.2501149.70.0011942013.50000016.000000228.200000
5632.8257-117.2501149.70.0023912013.54545515.444444166.646465
6732.8257-117.2501149.70.0060972013.50000016.000000197.200000
8932.8257-117.2501149.70.0079302013.45614015.954386259.164912
4532.8257-117.2501149.70.0171432013.51623415.912338136.113636
3432.8257-117.2501149.70.0185672013.50000015.500000105.700000
91032.8257-117.2501149.70.0199352013.47077916.016234289.217532
2332.8257-117.2501149.70.0316562013.51623415.96428675.165584
101132.8257-117.2501149.70.0324192013.16245515.115523319.332130
1232.8257-117.2501149.70.0550972013.85714314.95752945.957529
0132.8257-117.2501149.70.0693882013.99640316.05395716.053957
111232.8257-117.2501149.70.0867152013.01094915.806569350.018248
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" + ], + "text/plain": [ + " MONTH LATITUDE LONGITUDE ELEVATION PRCP YEAR DAY \\\n", + "7 8 32.8257 -117.2501 149.7 0.001194 2013.500000 16.000000 \n", + "5 6 32.8257 -117.2501 149.7 0.002391 2013.545455 15.444444 \n", + "6 7 32.8257 -117.2501 149.7 0.006097 2013.500000 16.000000 \n", + "8 9 32.8257 -117.2501 149.7 0.007930 2013.456140 15.954386 \n", + "4 5 32.8257 -117.2501 149.7 0.017143 2013.516234 15.912338 \n", + "3 4 32.8257 -117.2501 149.7 0.018567 2013.500000 15.500000 \n", + "9 10 32.8257 -117.2501 149.7 0.019935 2013.470779 16.016234 \n", + "2 3 32.8257 -117.2501 149.7 0.031656 2013.516234 15.964286 \n", + "10 11 32.8257 -117.2501 149.7 0.032419 2013.162455 15.115523 \n", + "1 2 32.8257 -117.2501 149.7 0.055097 2013.857143 14.957529 \n", + "0 1 32.8257 -117.2501 149.7 0.069388 2013.996403 16.053957 \n", + "11 12 32.8257 -117.2501 149.7 0.086715 2013.010949 15.806569 \n", + "\n", + " DAY_OF_YEAR \n", + "7 228.200000 \n", + "5 166.646465 \n", + "6 197.200000 \n", + "8 259.164912 \n", + "4 136.113636 \n", + "3 105.700000 \n", + "9 289.217532 \n", + "2 75.165584 \n", + "10 319.332130 \n", + "1 45.957529 \n", + "0 16.053957 \n", + "11 350.018248 " + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.groupby(['MONTH'], as_index=False).mean().sort_values('PRCP')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer: The rainiest month was December. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "D4. Make boxplots by year and by month using the Seaborn function `boxplot()`. Hint: If you make a boxplot of your DataFrame without grouping, the boxplots will be centered on zero, because there are so many days with zero precipitation. Instead, use groupby to group the data by year *and* month (use a list containing these columns), set `as_index=False`, average over those groups, and save this as a new DataFrame; then use this for your boxplots." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "df_mean_by_month = df.groupby(['YEAR', 'MONTH'], as_index=False).mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Boxplot by month\n", + "sns.boxplot(x='MONTH', y='PRCP', data=df_mean_by_month)\n", + "plt.xlabel('Month')\n", + "plt.ylabel('Precipitation (inches)');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The distribution shows December was the wettest month (daily mean) overall. But it appears the wettest single month was in Feburary." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Boxplot by year\n", + "sns.boxplot(x='YEAR', y='PRCP', data=df_mean_by_month)\n", + "plt.xlabel('Year')\n", + "plt.ylabel('Precipitation (inches)');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The distribution shows 2010, 2015, and 2018 had the higest median month precipitation (daily mean). However, 2018 has only January and February, which are wet months! Based on the outliers, 2010, 2016, and 2017 had the wettest months." + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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YEARMONTHLATITUDELONGITUDEELEVATIONPRCPDAYDAY_OF_YEAR
962017232.8257-117.2501149.70.21642914.545.5
2220101232.8257-117.2501149.70.21451616.0350.0
112010132.8257-117.2501149.70.16967716.016.0
952017132.8257-117.2501149.70.16000016.016.0
9420161232.8257-117.2501149.70.15000016.0351.0
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" + ], + "text/plain": [ + " YEAR MONTH LATITUDE LONGITUDE ELEVATION PRCP DAY DAY_OF_YEAR\n", + "96 2017 2 32.8257 -117.2501 149.7 0.216429 14.5 45.5\n", + "22 2010 12 32.8257 -117.2501 149.7 0.214516 16.0 350.0\n", + "11 2010 1 32.8257 -117.2501 149.7 0.169677 16.0 16.0\n", + "95 2017 1 32.8257 -117.2501 149.7 0.160000 16.0 16.0\n", + "94 2016 12 32.8257 -117.2501 149.7 0.150000 16.0 351.0" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_mean_by_month.sort_values('PRCP', ascending=False).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Sorting our new DataFrame by precipitation and viewing the top few rows, we can see that the wettest two months were February 2017 and December 2010." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer to Question E - Pivoting, stacking and unstacking" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "E1. Use pivot_table to produce a new DataFrame, where rows=years and columns=months, containing the mean precipitation of each month." + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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MONTH123456789101112
YEAR
2009NaN0.0000000.0077420.0030000.0067740.0037040.0000000.0003230.0013330.0012900.0113330.101613
20100.1696770.0884620.0200000.0643330.0019350.0026670.0035480.0000000.0019230.0809680.0323330.214516
20110.0277420.0615380.0224140.0100000.0255170.0030000.0000000.0000000.0014290.0180650.1080000.039032
20120.0180650.0577780.0416130.0533330.0006450.0016670.0003230.0016130.0013330.0422580.0100000.121852
20130.0474190.0171430.0380650.0060000.0164520.0003330.0012900.0003230.0000000.0116130.0028570.010000
20140.0022580.0375000.0590320.0180000.0000000.0000000.0112900.0064520.0180000.0000000.0193330.105333
20150.0166670.0135710.0329030.0053330.0406450.0020000.0441940.0012900.0356670.0332260.0673330.038710
20160.1074190.0155170.0351610.0183330.0332260.0006670.0000000.0009680.0156670.0048390.0426670.150000
20170.1600000.2164290.0080650.0046670.0361290.0096670.0003230.0009680.0004760.0000000.0056670.004516
20180.0735480.0139290.0509680.0026670.0106450.0003330.0000000.0000000.0000000.0062070.000000NaN
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" + ], + "text/plain": [ + "MONTH 1 2 3 4 5 6 7 \\\n", + "YEAR \n", + "2009 NaN 0.000000 0.007742 0.003000 0.006774 0.003704 0.000000 \n", + "2010 0.169677 0.088462 0.020000 0.064333 0.001935 0.002667 0.003548 \n", + "2011 0.027742 0.061538 0.022414 0.010000 0.025517 0.003000 0.000000 \n", + "2012 0.018065 0.057778 0.041613 0.053333 0.000645 0.001667 0.000323 \n", + "2013 0.047419 0.017143 0.038065 0.006000 0.016452 0.000333 0.001290 \n", + "2014 0.002258 0.037500 0.059032 0.018000 0.000000 0.000000 0.011290 \n", + "2015 0.016667 0.013571 0.032903 0.005333 0.040645 0.002000 0.044194 \n", + "2016 0.107419 0.015517 0.035161 0.018333 0.033226 0.000667 0.000000 \n", + "2017 0.160000 0.216429 0.008065 0.004667 0.036129 0.009667 0.000323 \n", + "2018 0.073548 0.013929 0.050968 0.002667 0.010645 0.000333 0.000000 \n", + "\n", + "MONTH 8 9 10 11 12 \n", + "YEAR \n", + "2009 0.000323 0.001333 0.001290 0.011333 0.101613 \n", + "2010 0.000000 0.001923 0.080968 0.032333 0.214516 \n", + "2011 0.000000 0.001429 0.018065 0.108000 0.039032 \n", + "2012 0.001613 0.001333 0.042258 0.010000 0.121852 \n", + "2013 0.000323 0.000000 0.011613 0.002857 0.010000 \n", + "2014 0.006452 0.018000 0.000000 0.019333 0.105333 \n", + "2015 0.001290 0.035667 0.033226 0.067333 0.038710 \n", + "2016 0.000968 0.015667 0.004839 0.042667 0.150000 \n", + "2017 0.000968 0.000476 0.000000 0.005667 0.004516 \n", + "2018 0.000000 0.000000 0.006207 0.000000 NaN " + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Using pivot_table to get the mean of each month in a table where rows=years and columns=months\n", + "precip = df.pivot_table(index='YEAR', columns='MONTH', values='PRCP', aggfunc='mean')\n", + "precip" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "E2. Draw a heatmap of years x months where each square is a month colored by mean precipitation. Adjust the colormap to highlight months with heavy precipitation. Hint: Seaborn's `heatmap()` function makes this very easy." + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Heatmap colored by precipitation\n", + "fig, ax = plt.subplots(figsize=(9, 6))\n", + "sns.heatmap(precip, annot=False, fmt='f', linewidths=.5, ax=ax, cmap='Blues')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "E3. Stack the monthly precipitation table using `stack()`. View the values for 2017. Which month had the most precipitation in 2017? Describe the distribution statistics for all months using `describe()`. How many months are included in this dataset? What was the median month (daily average) value in this time period?" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "# stack precipitation pivot table by year-month indexes\n", + "precip_stack = precip.stack()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "MONTH\n", + "1 0.160000\n", + "2 0.216429\n", + "3 0.008065\n", + "4 0.004667\n", + "5 0.036129\n", + "6 0.009667\n", + "7 0.000323\n", + "8 0.000968\n", + "9 0.000476\n", + "10 0.000000\n", + "11 0.005667\n", + "12 0.004516\n", + "dtype: float64" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# daily average for 2017, month by month\n", + "precip_stack[2017]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "February had the most precipitation of any month in 2017." + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "count 118.000000\n", + "mean 0.027751\n", + "std 0.042921\n", + "min 0.000000\n", + "25% 0.001333\n", + "50% 0.010000\n", + "75% 0.037157\n", + "max 0.216429\n", + "dtype: float64" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# distribution statistics for mean daily averages by month\n", + "precip_stack.describe()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are 109 months in this dataset. The median month (daily average) value was 0.011 inches of precipitation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "E4. Use `unstack()` to stack precipitation pivot table by month and then year. View the values for December. Which year had the wettest December?" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "# (un)stack precipitation pivot table by month-year indexes\n", + "precip_unstack = precip.unstack()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "YEAR\n", + "2009 0.101613\n", + "2010 0.214516\n", + "2011 0.039032\n", + "2012 0.121852\n", + "2013 0.010000\n", + "2014 0.105333\n", + "2015 0.038710\n", + "2016 0.150000\n", + "2017 0.004516\n", + "2018 NaN\n", + "dtype: float64" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# daily average for December, year by year\n", + "precip_unstack[12]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The wettest December (by daily average) was in 2010." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "**Postscript:** Read more about [San Diego's odd 2010 weather](http://www.sandiegouniontribune.com/sdut-highlights-san-diegos-wild-and-weird-2010-weather-2011jan02-htmlstory.html)." + ] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.1" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} From d40b3560b56a86095ec03c6e7bc0502f99994b3f Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Thu, 13 Dec 2018 11:11:45 -0200 Subject: [PATCH 77/78] adding assignment 9 answers --- assignments/answers/assignment9_answers.ipynb | 1930 +++++++++++++++++ 1 file changed, 1930 insertions(+) create mode 100644 assignments/answers/assignment9_answers.ipynb diff --git a/assignments/answers/assignment9_answers.ipynb b/assignments/answers/assignment9_answers.ipynb new file mode 100644 index 0000000..643eac4 --- /dev/null +++ b/assignments/answers/assignment9_answers.ipynb @@ -0,0 +1,1930 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Answers to Assignment 9 - Statistics and Interactive Visualization\n", + "\n", + "Complete the tasks below. Please turn in a single Jupyter notebook named `9_first_last.ipynb` (substitute your first and last name). Please run Kernel > Restart & Run All on your notebook before turning in.\n", + "\n", + "#### A. Student survey data wrangling\n", + "\n", + "1. Download the student survey data from [2015](https://raw.githubusercontent.com/cuttlefishh/python-for-data-analysis/master/data/survey_scores_2015_T.csv) and [2018](https://raw.githubusercontent.com/cuttlefishh/python-for-data-analysis/master/data/survey_scores_2018.csv) if you don't have them already.\n", + "2. Import the csv files as DataFrames and inspect the files. Notice that the data are formatted differently. Next you will modify them so they are compatible.\n", + "3. The 2015 data is mostly ready to go. Just convert the Y/N values to True/False (boolean).\n", + "4. The 2018 data needs a lot of work. Delete the 'Timestamp' and 'Graduate program and advisor' columns. Rename the remaining columns to match those in 2015. Convert the Yes/No values to True/False (boolean). Convert the None/Some/Moderate/Experienced values to 0/1/2/3 (integers). \n", + "\n", + "#### B. Statistical analysis\n", + "\n", + "1. In both years, some students have Macs and some have Windows computers. Test the hypothesis that the proportions of Mac and Windows users are the same in 2015 and 2018. Note that in 2018, the question was asked differently and some people listed multiple operating systems; for the purposes of this question, assume that SDNT6 and SDNT10 have Windows computers and SDNT7 has a Mac.\n", + "2. For each of the 'score' columns shared by both datasets (there are five), use a two-sample *t*-test to determine if the two samples have equal means. Note: To use `scipy.stats`, you may have to import it directly like so: `from scipy import stats`.\n", + "\n", + "#### C. Stock data\n", + "\n", + "1. Download historical stock data from the past three years for a stock of your choice (eligible symbols: [here](https://iextrading.com/trading/eligible-symbols/)) and the S&P 500 index (symbol: 'SPY'). Use Panads timeseries operations to calculate the start and end dates. IEX is currently a reliable source of data that does not require registration (see [pandas-datareader docs](https://pydata.github.io/pandas-datareader/stable/remote_data.html)). Note that using IEX will return a hierarchical column index, where the first column index is the price type ('open', 'high', 'low', 'close', 'volume') and the second column index is the symbol. You may also want to convert the index from string/object type to datetime type. For example, to download stock data for Qualcomm and Illumina and see the close data for Qualcomm, use these commands, where `start` and `end` are Pandas datatime objects: \n", + "\n", + " import pandas_datareader as pdr\n", + " quotes = pdr.data.DataReader(['QCOM', 'ILMN'], 'iex', start, end)\n", + " quotes.set_index(pd.to_datetime(quotes.index), inplace=True)\n", + " quotes['close']['QCOM']\n", + "\n", + "2. Calculate the 52-week high and low for the past year for your stock and for the S&P 500.\n", + "3. Plot the price at close over the past three years of your stock and the S&P 500. Use a dual y-axis (using `twinx` like we learned in the Matplotlib lesson) to display the two prices side by side on separate scales.\n", + "4. Calculate the percent change from three years ago for both prices. How did your stock perform relative to the S&P 500?\n", + "\n", + "#### D. Bokeh visualization\n", + "\n", + "1. Use Bokeh to create an interactive visualization of the stock data you downloaded in Question 3. The HTML file that is generated should use the default content delivery network; i.e., it requires an internet connection to render properly.\n", + "2. Use Bokeh to create an interactive visualization from a dataset of your choice. You can choose one of the datasets from a previous assignment (e.g., precipitation in La Jolla, moons of the Solar System, or the Earth Microbiome Project) or your own dataset. The HTML file that is generated should be a stand-alone file (`mode=inline`) that does not require an internet connection to render properly.\n", + "\n", + "#### E. Final project proposal\n", + "\n", + "The final project description is [here](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/assignments/final_project.md). Write a short paragraph describing your proposed idea for the final project: the dataset you want to use, what analysis you want to do, and what you hope your code will do and look like when you are done. I will provide feedback when I grade your assignment. If you would like feedback sooner, please email me directly." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import scipy\n", + "from scipy import stats\n", + "import pandas_datareader as pdr\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "from bokeh.plotting import figure, output_file, show, ColumnDataSource\n", + "from bokeh.models import HoverTool\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Question 1 - Student survey data wrangling\n", + "\n", + "Download the student survey data from [2015](https://raw.githubusercontent.com/cuttlefishh/python-for-data-analysis/master/data/survey_scores_2015_T.csv) and [2018](https://raw.githubusercontent.com/cuttlefishh/python-for-data-analysis/master/data/survey_scores_2018.csv) if you don't have them already. Import the csv files as DataFrames and inspect the files. Notice that the data are formatted differently. Next you will modify them so they are compatible." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "df15 = pd.read_csv('../../data/survey_scores_2015_T.csv')\n", + "df18 = pd.read_csv('../../data/survey_scores_2018.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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TimestampRespondentGraduate program and advisorDo you have your own laptop?Which operating system do you run on your computer? (You may select more than one if you have multiple disk partitions or a virtual machine.)What is your experience level with the command line?What is your experience level with the R programming language?What is your experience level with the MATLAB programming language?What is your experience level with the Perl programming language?What is your experience level with the Python programming language?
01/9/2018 9:57:18SDNT1PhD: SIO: Jennifer SmithYesMacSomeModerateNoneNoneSome
11/9/2018 9:57:53SDNT2PhD: SIO/Marine Biology: Lyons LabYesMacSomeNoneNoneNoneSome
21/9/2018 9:59:14SDNT3PhD: SIO/Biological Oceanography: Jeff BowmanYesMacNoneNoneNoneNoneNone
31/9/2018 9:59:15SDNT4PhD: Structural Engineering: Hyonny KimYesMacModerateNoneExperiencedNoneSome
41/9/2018 9:59:36SDNT5MS: SIO/Marine Biology: Douglas BartlettYesMacNoneNoneSomeNoneNone
51/9/2018 9:59:38SDNT6PhD: SIO/Physical Oceanography, Uwe SendYesWindows, UnixModerateNoneExperiencedSomeNone
61/9/2018 10:00:03SDNT7PhD: Economics: Dan CayanYesMac, Windows, UnixModerateExperiencedSomeSomeSome
71/9/2018 10:00:21SDNT8PhD: Engineering Physics: Alexey ArefievYesMacModerateNoneExperiencedNoneNone
81/9/2018 10:01:22SDNT9PhD: Geophysics: Dave StegmanYesMacSomeNoneSomeNoneSome
91/9/2018 11:13:57SDNT10Postdoc: NOAA/SWFSC: Andrew ThompsonYesWindows, UnixNoneModerateSomeNoneNone
101/9/2018 18:14:28SDNT11PhD: SIO/Marine Biology: Greg RouseYesWindowsNoneSomeNoneNoneSome
111/18/2018 17:10:41SDNT12PhD: BMS: Rob Knight + Karsten ZenglerYesMacSomeSomeNoneNoneSome
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" + ], + "text/plain": [ + " Timestamp Respondent \\\n", + "0 1/9/2018 9:57:18 SDNT1 \n", + "1 1/9/2018 9:57:53 SDNT2 \n", + "2 1/9/2018 9:59:14 SDNT3 \n", + "3 1/9/2018 9:59:15 SDNT4 \n", + "4 1/9/2018 9:59:36 SDNT5 \n", + "5 1/9/2018 9:59:38 SDNT6 \n", + "6 1/9/2018 10:00:03 SDNT7 \n", + "7 1/9/2018 10:00:21 SDNT8 \n", + "8 1/9/2018 10:01:22 SDNT9 \n", + "9 1/9/2018 11:13:57 SDNT10 \n", + "10 1/9/2018 18:14:28 SDNT11 \n", + "11 1/18/2018 17:10:41 SDNT12 \n", + "\n", + " Graduate program and advisor \\\n", + "0 PhD: SIO: Jennifer Smith \n", + "1 PhD: SIO/Marine Biology: Lyons Lab \n", + "2 PhD: SIO/Biological Oceanography: Jeff Bowman \n", + "3 PhD: Structural Engineering: Hyonny Kim \n", + "4 MS: SIO/Marine Biology: Douglas Bartlett \n", + "5 PhD: SIO/Physical Oceanography, Uwe Send \n", + "6 PhD: Economics: Dan Cayan \n", + "7 PhD: Engineering Physics: Alexey Arefiev \n", + "8 PhD: Geophysics: Dave Stegman \n", + "9 Postdoc: NOAA/SWFSC: Andrew Thompson \n", + "10 PhD: SIO/Marine Biology: Greg Rouse \n", + "11 PhD: BMS: Rob Knight + Karsten Zengler \n", + "\n", + " Do you have your own laptop? \\\n", + "0 Yes \n", + "1 Yes \n", + "2 Yes \n", + "3 Yes \n", + "4 Yes \n", + "5 Yes \n", + "6 Yes \n", + "7 Yes \n", + "8 Yes \n", + "9 Yes \n", + "10 Yes \n", + "11 Yes \n", + "\n", + " Which operating system do you run on your computer? (You may select more than one if you have multiple disk partitions or a virtual machine.) \\\n", + "0 Mac \n", + "1 Mac \n", + "2 Mac \n", + "3 Mac \n", + "4 Mac \n", + "5 Windows, Unix \n", + "6 Mac, Windows, Unix \n", + "7 Mac \n", + "8 Mac \n", + "9 Windows, Unix \n", + "10 Windows \n", + "11 Mac \n", + "\n", + " What is your experience level with the command line? \\\n", + "0 Some \n", + "1 Some \n", + "2 None \n", + "3 Moderate \n", + "4 None \n", + "5 Moderate \n", + "6 Moderate \n", + "7 Moderate \n", + "8 Some \n", + "9 None \n", + "10 None \n", + "11 Some \n", + "\n", + " What is your experience level with the R programming language? \\\n", + "0 Moderate \n", + "1 None \n", + "2 None \n", + "3 None \n", + "4 None \n", + "5 None \n", + "6 Experienced \n", + "7 None \n", + "8 None \n", + "9 Moderate \n", + "10 Some \n", + "11 Some \n", + "\n", + " What is your experience level with the MATLAB programming language? \\\n", + "0 None \n", + "1 None \n", + "2 None \n", + "3 Experienced \n", + "4 Some \n", + "5 Experienced \n", + "6 Some \n", + "7 Experienced \n", + "8 Some \n", + "9 Some \n", + "10 None \n", + "11 None \n", + "\n", + " What is your experience level with the Perl programming language? \\\n", + "0 None \n", + "1 None \n", + "2 None \n", + "3 None \n", + "4 None \n", + "5 Some \n", + "6 Some \n", + "7 None \n", + "8 None \n", + "9 None \n", + "10 None \n", + "11 None \n", + "\n", + " What is your experience level with the Python programming language? \n", + "0 Some \n", + "1 Some \n", + "2 None \n", + "3 Some \n", + "4 None \n", + "5 None \n", + "6 Some \n", + "7 None \n", + "8 Some \n", + "9 None \n", + "10 Some \n", + "11 Some " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df18" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The 2015 data is mostly ready to go. Just convert the Y/N values to True/False (boolean)." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "df15.computer_has = df15.computer_has.map({'Y': True, 'N': False})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The 2018 data needs a lot of work. Delete the 'Timestamp' and 'Graduate program and advisor' columns. Rename the remaining columns to match those in 2015. Convert the Yes/No values to True/False (boolean). Convert the None/Some/Moderate/Experienced values to 0/1/2/3 (integers). " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "df18.drop(['Timestamp', 'Graduate program and advisor'], axis=1, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "df18.columns = ['subject_id', 'computer_has', 'computer_os', 'score_command', \n", + " 'score_r', 'score_matlab', 'score_perl', 'score_python']" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "df18.computer_has = df18.computer_has.map({'Yes': True, 'N0': False})" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "for i in ['score_command', 'score_r', 'score_matlab', 'score_perl', 'score_python']:\n", + " df18[i] = df18[i].map({'None': 0, 'Some': 1, 'Moderate': 2, 'Experienced': 3})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Question 2 - Statistical analysis\n", + "\n", + "In both years, some students have Macs and some have Windows computers. Test the hypothesis that the proportions of Mac and Windows users are the same in 2015 and 2018. Note that in 2018, the question was asked differently and some people listed multiple operating systems; for the purposes of this question, assume that SDNT6 and SDNT10 have Windows computers and SDNT7 has a Mac." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can use a Fisher's exact test. We want a DataFrame where the columns are observations (Mac, Windows) and the rows are trials (2015, 2018)." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Mac 8\n", + "Windows 3\n", + "Linux 2\n", + "Name: computer_os, dtype: int64" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df15.computer_os.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Mac 9\n", + "Windows 3\n", + "Name: comp, dtype: int64" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df18['comp'] = [x.split(', ')[0] for x in df18.computer_os]\n", + "df18['comp'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Mac Windows\n", + "2015 8 3\n", + "2018 9 3" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_comp = pd.DataFrame([[8, 3],[9, 3]],\n", + " index=['2015', '2018'],\n", + " columns=['Mac', 'Windows'])\n", + "df_comp" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.8888888888888888, 1.0)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "odds_ratio, p_value = scipy.stats.fisher_exact(df_comp, alternative='two-sided')\n", + "odds_ratio, p_value" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer: The proportion of Mac vs. Windows users in the two years is statistically the same." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For each of the 'score' columns shared by both datasets (there are five), use a two-sample *t*-test to determine if the two samples have equal means. Note: To use `scipy.stats`, you may have to import it directly like so: `from scipy import stats`." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.8626373626373626 0.7272727272727273\n", + "0.9945054945054944 1.1136363636363635\n", + "1.4945054945054947 1.537878787878788\n", + "0.1318681318681319 0.1515151515151515\n", + "0.5549450549450551 0.2651515151515152\n" + ] + } + ], + "source": [ + "for i in ['score_command', 'score_r', 'score_matlab', 'score_perl', 'score_python']:\n", + " print(df15[i].var(), df18[i].var())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We should treat the variances as unequal." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "score_command\t1.021563746459407\t0.3172322842292431\n", + "score_r\t0.4411671300323681\t0.6632254405953542\n", + "score_matlab\t0.7123128373310325\t0.48334768978717324\n", + "score_perl\t-0.1603583471369465\t0.8740112001709535\n", + "score_python\t0.23956610481392648\t0.812782931635454\n" + ] + } + ], + "source": [ + "for i in ['score_command', 'score_r', 'score_matlab', 'score_perl', 'score_python']:\n", + " t, p = scipy.stats.ttest_ind(df15[i], df18[i], equal_var=False)\n", + " print('%s\\t%s\\t%s' % (i, t, p))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "Answer: None of the means are different from each other with alpha = 0.05." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Question 3 - Stock data\n", + "\n", + "Download historical stock data from the past three years for a stock of your choice (eligible symbols: [here](https://iextrading.com/trading/eligible-symbols/)) and the S&P 500 index (symbol: 'SPY'). Use Panads timeseries operations to calculate the start and end dates. IEX is currently a reliable source of data that does not require registration (see [pandas-datareader docs](https://pydata.github.io/pandas-datareader/stable/remote_data.html)). Note that using IEX will return a hierarchical column index, where the first column index is the price type ('open', 'high', 'low', 'close', 'volume') and the second column index is the symbol. You may also want to convert the index from string/object type to datetime type. For example, to download stock data for Qualcomm and Illumina and see the close data for Qualcomm, use these commands, where `start` and `end` are Pandas datatime objects: \n", + "\n", + " import pandas_datareader as pdr\n", + " quotes = pdr.data.DataReader(['QCOM', 'ILMN'], 'iex', start, end)\n", + " quotes.set_index(pd.to_datetime(quotes.index), inplace=True)\n", + " quotes['close']['QCOM']" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "start = pd.datetime.today() - pd.DateOffset(years=3) # exactly 3 years before today\n", + "end = pd.datetime.today() - pd.DateOffset(days=1) # yesterday" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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Attributesopenhighlowclosevolume
SymbolsSPYTSLASPYTSLASPYTSLASPYTSLASPYTSLA
date
2015-11-27197.3578231.06197.7064232.25196.8206227.01197.4803231.61373177791949353
2015-11-30197.6593231.79197.7912234.28196.5379229.08196.6604230.261128227002659813
2015-12-01197.3672231.06198.6676238.00197.0562231.05198.5357237.19978584183733955
2015-12-02198.4745237.00198.8373238.60196.2269231.23196.5087231.991084412592981468
2015-12-03196.7923235.48197.0939237.45192.9486230.00193.7580232.711662241542939564
\n", + "
" + ], + "text/plain": [ + "Attributes open high low close \\\n", + "Symbols SPY TSLA SPY TSLA SPY TSLA SPY \n", + "date \n", + "2015-11-27 197.3578 231.06 197.7064 232.25 196.8206 227.01 197.4803 \n", + "2015-11-30 197.6593 231.79 197.7912 234.28 196.5379 229.08 196.6604 \n", + "2015-12-01 197.3672 231.06 198.6676 238.00 197.0562 231.05 198.5357 \n", + "2015-12-02 198.4745 237.00 198.8373 238.60 196.2269 231.23 196.5087 \n", + "2015-12-03 196.7923 235.48 197.0939 237.45 192.9486 230.00 193.7580 \n", + "\n", + "Attributes volume \n", + "Symbols TSLA SPY TSLA \n", + "date \n", + "2015-11-27 231.61 37317779 1949353 \n", + "2015-11-30 230.26 112822700 2659813 \n", + "2015-12-01 237.19 97858418 3733955 \n", + "2015-12-02 231.99 108441259 2981468 \n", + "2015-12-03 232.71 166224154 2939564 " + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "quotes = pdr.data.DataReader(['TSLA', 'SPY'], 'iex', start, end)\n", + "quotes.set_index(pd.to_datetime(quotes.index), inplace=True)\n", + "quotes.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Calculate the 52-week high and low for the past year for your stock and for the S&P 500." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "one_year_ago = pd.datetime.today() - pd.DateOffset(years=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "tsla_52wk = quotes['close']['TSLA'].loc[one_year_ago:end]\n", + "spy_52wk = quotes['close']['SPY'].loc[one_year_ago:end]" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(379.57, 250.56)" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tsla_52wk.max(), tsla_52wk.min()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(292.2574, 254.305)" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "spy_52wk.max(), spy_52wk.min()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer: The 52-week closing price high and low of TSLA are 379.6 and 250.6, and for the SPDR S&P 500 ETF Trust are 292.3 and 23254.3." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plot the price at close over the past three years of your stock and the S&P 500. Use a dual y-axis (using `twinx` like we learned in the Matplotlib lesson) to display the two prices side by side on separate scales." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax1 = plt.subplots()\n", + "\n", + "ax1.plot(quotes['close']['TSLA'].index, quotes['close']['TSLA'], color='b')\n", + "ax1.set_ylabel('Tesla', color='b')\n", + "for label in ax1.get_yticklabels():\n", + " label.set_color('b')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(quotes['close']['SPY'].index, quotes['close']['SPY'], color='r')\n", + "ax2.set_ylabel('SPDR S&P 500 ETF Trust', color='r')\n", + "for label in ax2.get_yticklabels():\n", + " label.set_color('r')\n", + " \n", + "plt.setp(ax1.xaxis.get_majorticklabels(), rotation=45);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Calculate the percent change from three years ago for both prices. How did your stock perform relative to the S&P 500?" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "def stock_return(quotes, symbol, t1, t2):\n", + " price_t1 = quotes['close'][symbol].loc[t1]\n", + " price_t2 = quotes['close'][symbol].loc[t2]\n", + " return((price_t2 - price_t1)/price_t1)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "quotes_ffill = quotes.asfreq('D', method='ffill')" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.49389059194335294" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stock_return(quotes_ffill, 'TSLA', start.date(), end.date())" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.35456549336819926" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stock_return(quotes_ffill, 'SPY', start.date(), end.date())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Answer: Tesla was more volatile than the S&P 500, and it also had a greater return, 49% for TSLA compared with 35% for the S&P 500." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Question 4 - Bokeh visualization\n", + "\n", + "Use Bokeh to create an interactive visualization of the stock data you downloaded in Question 3. The HTML file that is generated should use the default content delivery network; i.e., it requires an internet connection to render properly." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "output_file('stock_price_tsla_spy.html')\n", + "\n", + "tools = 'pan, wheel_zoom, box_zoom, reset, save, hover, undo, redo'\n", + "\n", + "p = figure(width=1000, height=600, x_axis_type='datetime', tools=tools, title='Tesla stock price and the S&P 500')\n", + "\n", + "p.line(quotes['close']['TSLA'].index, quotes['close']['TSLA'], color='blue', legend='TSLA')\n", + "p.line(quotes['close']['SPY'].index, quotes['close']['SPY'], color='red', legend='SPY')\n", + "\n", + "p.ygrid.band_fill_color='gray'\n", + "p.ygrid.band_fill_alpha = 0.1\n", + "\n", + "p.xaxis.axis_label = 'Date'\n", + "p.yaxis.axis_label = 'Price'\n", + "\n", + "show(p)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Use Bokeh to create an interactive visualization from a dataset of your choice. You can choose one of the datasets from a previous assignment (e.g., precipitation in La Jolla, moons of the Solar System, or the Earth Microbiome Project) or your own dataset. The HTML file that is generated should be a stand-alone file (`mode=inline`) that does not require an internet connection to render properly." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "I am choosing to create interactive plots of the moon data. First I import the data and generate the volume columns." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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moon_nameplanet_namemoon_planet_distance_kmmoon_diameter_kmplanet_diameter_kmplanet_sun_distance_kmplanet_sun_distance_aumoon_volume_km3planet_volume_km3
0MoonEarth3840003476127421.495979e+081.0002.199064e+101.083207e+12
1DeimosMars92702067792.281368e+081.5254.188790e+031.631156e+11
2PhobosMars23460867792.281368e+081.5252.680826e+021.631156e+11
3CallistoJupiter188300048001398227.786569e+085.2055.790584e+101.431282e+15
4EuropaJupiter67090031261398227.786569e+085.2051.599431e+101.431282e+15
5GanymedeJupiter107000052761398227.786569e+085.2057.689763e+101.431282e+15
6IoJupiter42160036291398227.786569e+085.2052.502416e+101.431282e+15
7DioneSaturn37740011201164641.427912e+099.5457.356186e+088.271299e+14
8EnceladusSaturn2380204981164641.427912e+099.5456.466759e+078.271299e+14
9HyperionSaturn14810002261164641.427912e+099.5456.043993e+068.271299e+14
10IapetusSaturn356130014361164641.427912e+099.5451.550465e+098.271299e+14
11MimasSaturn1855203981164641.427912e+099.5453.301018e+078.271299e+14
12PhoebeSaturn129520002201164641.427912e+099.5455.575280e+068.271299e+14
13RheaSaturn52704015281164641.427912e+099.5451.867965e+098.271299e+14
14TethysSaturn29466010601164641.427912e+099.5456.236145e+088.271299e+14
15TitanSaturn122185051501164641.427912e+099.5457.151881e+108.271299e+14
16ArielUranus1912401160507242.872279e+0919.2008.172832e+086.833436e+13
17MirandaUranus129780472507242.872279e+0919.2005.505853e+076.833436e+13
18OberonUranus5826001526507242.872279e+0919.2001.860639e+096.833436e+13
19TitaniaUranus4358401580507242.872279e+0919.2002.065237e+096.833436e+13
20UmbrielUranus2659701190507242.872279e+0919.2008.823472e+086.833436e+13
21NereidNeptune5513400340492444.495416e+0930.0502.057953e+076.252570e+13
22TritonNeptune3548002705492444.495416e+0930.0501.036336e+106.252570e+13
\n", + "
" + ], + "text/plain": [ + " moon_name planet_name moon_planet_distance_km moon_diameter_km \\\n", + "0 Moon Earth 384000 3476 \n", + "1 Deimos Mars 9270 20 \n", + "2 Phobos Mars 23460 8 \n", + "3 Callisto Jupiter 1883000 4800 \n", + "4 Europa Jupiter 670900 3126 \n", + "5 Ganymede Jupiter 1070000 5276 \n", + "6 Io Jupiter 421600 3629 \n", + "7 Dione Saturn 377400 1120 \n", + "8 Enceladus Saturn 238020 498 \n", + "9 Hyperion Saturn 1481000 226 \n", + "10 Iapetus Saturn 3561300 1436 \n", + "11 Mimas Saturn 185520 398 \n", + "12 Phoebe Saturn 12952000 220 \n", + "13 Rhea Saturn 527040 1528 \n", + "14 Tethys Saturn 294660 1060 \n", + "15 Titan Saturn 1221850 5150 \n", + "16 Ariel Uranus 191240 1160 \n", + "17 Miranda Uranus 129780 472 \n", + "18 Oberon Uranus 582600 1526 \n", + "19 Titania Uranus 435840 1580 \n", + "20 Umbriel Uranus 265970 1190 \n", + "21 Nereid Neptune 5513400 340 \n", + "22 Triton Neptune 354800 2705 \n", + "\n", + " planet_diameter_km planet_sun_distance_km planet_sun_distance_au \\\n", + "0 12742 1.495979e+08 1.000 \n", + "1 6779 2.281368e+08 1.525 \n", + "2 6779 2.281368e+08 1.525 \n", + "3 139822 7.786569e+08 5.205 \n", + "4 139822 7.786569e+08 5.205 \n", + "5 139822 7.786569e+08 5.205 \n", + "6 139822 7.786569e+08 5.205 \n", + "7 116464 1.427912e+09 9.545 \n", + "8 116464 1.427912e+09 9.545 \n", + "9 116464 1.427912e+09 9.545 \n", + "10 116464 1.427912e+09 9.545 \n", + "11 116464 1.427912e+09 9.545 \n", + "12 116464 1.427912e+09 9.545 \n", + "13 116464 1.427912e+09 9.545 \n", + "14 116464 1.427912e+09 9.545 \n", + "15 116464 1.427912e+09 9.545 \n", + "16 50724 2.872279e+09 19.200 \n", + "17 50724 2.872279e+09 19.200 \n", + "18 50724 2.872279e+09 19.200 \n", + "19 50724 2.872279e+09 19.200 \n", + "20 50724 2.872279e+09 19.200 \n", + "21 49244 4.495416e+09 30.050 \n", + "22 49244 4.495416e+09 30.050 \n", + "\n", + " moon_volume_km3 planet_volume_km3 \n", + "0 2.199064e+10 1.083207e+12 \n", + "1 4.188790e+03 1.631156e+11 \n", + "2 2.680826e+02 1.631156e+11 \n", + "3 5.790584e+10 1.431282e+15 \n", + "4 1.599431e+10 1.431282e+15 \n", + "5 7.689763e+10 1.431282e+15 \n", + "6 2.502416e+10 1.431282e+15 \n", + "7 7.356186e+08 8.271299e+14 \n", + "8 6.466759e+07 8.271299e+14 \n", + "9 6.043993e+06 8.271299e+14 \n", + "10 1.550465e+09 8.271299e+14 \n", + "11 3.301018e+07 8.271299e+14 \n", + "12 5.575280e+06 8.271299e+14 \n", + "13 1.867965e+09 8.271299e+14 \n", + "14 6.236145e+08 8.271299e+14 \n", + "15 7.151881e+10 8.271299e+14 \n", + "16 8.172832e+08 6.833436e+13 \n", + "17 5.505853e+07 6.833436e+13 \n", + "18 1.860639e+09 6.833436e+13 \n", + "19 2.065237e+09 6.833436e+13 \n", + "20 8.823472e+08 6.833436e+13 \n", + "21 2.057953e+07 6.252570e+13 \n", + "22 1.036336e+10 6.252570e+13 " + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_moons = pd.read_excel('../../data/moons.xlsx')\n", + "df_planets = pd.read_excel('../../data/planets.xlsx')\n", + "df_solar = pd.merge(df_moons, df_planets, left_on='planet_name', right_on='planet_name')\n", + "df_solar['moon_volume_km3'] = 4/3*np.pi*(df_solar.moon_diameter_km/2)**3\n", + "df_solar['planet_volume_km3'] = 4/3*np.pi*(df_solar.planet_diameter_km/2)**3\n", + "df_solar" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "colors = {\n", + " 'Mars': 'red',\n", + " 'Earth': 'blue',\n", + " 'Jupiter': 'orange',\n", + " 'Saturn': 'green',\n", + " 'Uranus': 'cyan',\n", + " 'Neptune': 'purple'}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now I generate an interactive scatter plot of the diameters, then an interactive plot of the volumes. Notice some modifications: 1) HoverTool shows the moon and planet names and values and the ratio of values. 2) Circles are sized by moon size, except a pseudocount of 5 has been added to each value so that Mars's tiny moons Phobos and Deimos are visible. 3) Circles are colored by planet." + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "output_file('moon_diameter.html', mode='inline')\n", + "\n", + "source = ColumnDataSource(data=dict(\n", + " x=df_solar.planet_diameter_km,\n", + " y=df_solar.moon_diameter_km,\n", + " ratio=df_solar.moon_diameter_km/df_solar.planet_diameter_km,\n", + " planet=df_solar.planet_name,\n", + " moon=df_solar.moon_name,\n", + " size=df_solar.moon_diameter_km/200 + 5,\n", + " color=[colors[x] for x in df_solar.planet_name]\n", + "))\n", + "\n", + "hover = HoverTool(tooltips=[\n", + " (\"moon name\", \"@moon\"),\n", + " (\"moon diameter\", \"@y\"),\n", + " (\"planet name\", \"@planet\"),\n", + " (\"planet diameter\", \"@x\"),\n", + " (\"ratio\", \"@ratio\")\n", + "])\n", + "\n", + "tools = [hover, 'pan, wheel_zoom, box_zoom, reset, save, undo, redo']\n", + "\n", + "p = figure(width=1000, height=600, tools=tools, title='Moons of the Solar System, by diameter')\n", + "\n", + "p.circle(x='x', y='y', size='size', fill_color='color', line_color='black', source=source)\n", + "\n", + "p.xaxis.axis_label = 'Planet diameter (km)'\n", + "p.yaxis.axis_label = 'Moon diameter (km)'\n", + "\n", + "show(p)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "output_file('moon_volume.html', mode='inline')\n", + "\n", + "source = ColumnDataSource(data=dict(\n", + " x=df_solar.planet_volume_km3,\n", + " y=df_solar.moon_volume_km3,\n", + " ratio=df_solar.moon_volume_km3/df_solar.planet_volume_km3,\n", + " planet=df_solar.planet_name,\n", + " moon=df_solar.moon_name,\n", + " size=df_solar.moon_diameter_km/200 + 5,\n", + " color=[colors[x] for x in df_solar.planet_name]\n", + "))\n", + "\n", + "hover = HoverTool(tooltips=[\n", + " (\"moon name\", \"@moon\"),\n", + " (\"moon volume\", \"@y\"),\n", + " (\"planet name\", \"@planet\"),\n", + " (\"planet volume\", \"@x\"),\n", + " (\"ratio\", \"@ratio\")\n", + "])\n", + "\n", + "tools = [hover, 'pan, wheel_zoom, box_zoom, reset, save, undo, redo']\n", + "\n", + "p = figure(width=1000, height=600, tools=tools, title='Moons of the Solar System, by volume')\n", + "\n", + "p.circle(x='x', y='y', size='size', fill_color='color', line_color='black', source=source)\n", + "\n", + "p.xaxis.axis_label = 'Planet volume (km^3)'\n", + "p.yaxis.axis_label = 'Moon volume (km^3)'\n", + "\n", + "show(p)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.1" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} From 4f1c766bd0de490a3221c285566bdf8b22cfba19 Mon Sep 17 00:00:00 2001 From: Luke Thompson Date: Tue, 8 Oct 2019 14:33:23 -0700 Subject: [PATCH 78/78] updated affiliation in README.md --- README.md | 13 ++----------- 1 file changed, 2 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index a260ac4..fc61313 100644 --- a/README.md +++ b/README.md @@ -25,19 +25,10 @@ Course topics include: ## Instructor * Luke Thompson, Ph.D. -* Lecturer at Scripps Institution of Oceanography, Assistant Professor at NOAA Northern Gulf Institute -* Email: luke@ucsd.edu -* Office hours by appointment +* Assistant Research Professor, NOAA Northern Gulf Institute, Atlantic Oceanographic and Meteorological Laboratory, Miami, Florida +* Email: [luke.thompson@noaa.gov](mailto:lukethompson@noaa.gov) * Pages: [GitHub](https://github.com/cuttlefishh), [Google Scholar](https://scholar.google.com/citations?user=kggNWsMAAAAJ), [NOAA profile](https://swfsc.noaa.gov/staff.aspx?id=22360) -## Meetings - -* Course number: SIOC 209 -* Quarter: Fall 2018-19 -* Meeting time: M/W 11:00-12:20 -* First and last day of class: October 1-December 5 (20 lessons) -* Location and door code: ask instructor - ## Online Content * GitHub repository: