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@den-run-ai
Created February 8, 2016 23:45
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>A</th>\n",
" <th>B</th>\n",
" <th>C</th>\n",
" <th>D</th>\n",
" <th>E</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.696598</td>\n",
" <td>0.001631</td>\n",
" <td>0.654914</td>\n",
" <td>0.183829</td>\n",
" <td>0.838618</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.390635</td>\n",
" <td>0.763652</td>\n",
" <td>0.763721</td>\n",
" <td>0.568608</td>\n",
" <td>0.289493</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.334534</td>\n",
" <td>0.342930</td>\n",
" <td>0.993024</td>\n",
" <td>0.726068</td>\n",
" <td>0.606628</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0.772202</td>\n",
" <td>0.645922</td>\n",
" <td>0.235319</td>\n",
" <td>0.066576</td>\n",
" <td>0.600406</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.448768</td>\n",
" <td>0.165198</td>\n",
" <td>0.291792</td>\n",
" <td>0.606626</td>\n",
" <td>0.251979</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" A B C D E\n",
"0 0.696598 0.001631 0.654914 0.183829 0.838618\n",
"1 0.390635 0.763652 0.763721 0.568608 0.289493\n",
"2 0.334534 0.342930 0.993024 0.726068 0.606628\n",
"3 0.772202 0.645922 0.235319 0.066576 0.600406\n",
"4 0.448768 0.165198 0.291792 0.606626 0.251979"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"df=pd.DataFrame(np.random.random([100,5]),columns='A B C D E'.split())\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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Xd3/OqpxNmG1WzhsymXunXcvDE0fwwuFcYo0GXjt3cmv+7xnG8z2Dw5+/XUrO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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x8c006d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"ax1=df.plot(kind='scatter',x='A',y='B',c='C',s=df.D*50,cmap='summer',linewidth=0,sharex=False);\n",
"df.plot(ax=ax1,kind='scatter',x='A',y='C',c='D',s=df.B*50,cmap='winter',linewidth=0,sharex=False);"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.9"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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