{
"cells": [
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
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""
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}
],
"source": [
"import plotly\n",
"import plotly.graph_objs as go\n",
"import plotly.figure_factory as ff\n",
"import numpy as np\n",
"plotly.offline.init_notebook_mode(connected=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Basic Histogram"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
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"showLink": true
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"title": "Sampled Results",
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}
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"text/html": [
""
],
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""
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"x = np.random.randn(500)\n",
"data = [go.Histogram(\n",
" x=x,\n",
" # 是否进行标准化\n",
" histnorm='probability',\n",
" # 是否进行累计显示\n",
" cumulative=dict(enabled=False),\n",
")]\n",
"layout = go.Layout(\n",
" title='Sampled Results',\n",
" xaxis=dict(title='Value'),\n",
" yaxis=dict(title='Count'),\n",
" bargap=0.2,\n",
")\n",
"fig = go.Figure(data=data, layout=layout)\n",
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},
{
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},
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"execution_count": 12,
"metadata": {},
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"showticklabels": false
}
}
},
"text/html": [
""
],
"text/vnd.plotly.v1+html": [
""
]
},
"metadata": {},
"output_type": "display_data"
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],
"source": [
"x1 = np.random.randn(200)-2 \n",
"x2 = np.random.randn(200) \n",
"x3 = np.random.randn(200)+2 \n",
"x4 = np.random.randn(200)+4 \n",
"colors = ['#A56CC1', '#A6ACEC', '#63F5EF', '#43AB32']\n",
"\n",
"hist_data = [x1, x2, x3, x4]\n",
"group_labels = ['Group 1', 'Group 2', 'Group 3', 'Group 4']\n",
"\n",
"fig = ff.create_distplot(\n",
" hist_data, group_labels, \n",
" bin_size=.2, \n",
" colors=colors,\n",
" # 设置显示什么\n",
" show_hist=True, \n",
" show_curve=True, \n",
" show_rug=True)\n",
"plotly.offline.iplot(fig)"
]
}
],
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"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
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