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@araastat
Created November 12, 2013 17:30
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{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"import warnings\n",
"warnings.filterwarnings('ignore')\n",
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"dat = pd.read_csv('VennDiagrams2-data.csv', index_col=5, parse_dates=[5,6])\n",
"del dat['Unnamed: 0']"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"dat['monthly'] = [pd.datetime(t.year, t.month, 1) for t in dat.index]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"dat.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>lon</th>\n",
" <th>lat</th>\n",
" <th>state</th>\n",
" <th>member_id</th>\n",
" <th>joined</th>\n",
" <th>groupName</th>\n",
" <th>monthly</th>\n",
" </tr>\n",
" <tr>\n",
" <th>visited</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2013-05-28 17:39:47</th>\n",
" <td>-77.02</td>\n",
" <td> 38.91</td>\n",
" <td> DC</td>\n",
" <td> 18800821</td>\n",
" <td>2012-01-14 21:32:33</td>\n",
" <td> Data Science DC</td>\n",
" <td>2013-05-01 00:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-11-05 20:29:44</th>\n",
" <td>-77.02</td>\n",
" <td> 38.91</td>\n",
" <td> DC</td>\n",
" <td> 52767982</td>\n",
" <td>2012-06-27 11:27:48</td>\n",
" <td> Data Science DC</td>\n",
" <td>2013-11-01 00:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-06-18 11:17:15</th>\n",
" <td>-77.02</td>\n",
" <td> 38.95</td>\n",
" <td> DC</td>\n",
" <td> 13617288</td>\n",
" <td>2012-03-09 12:38:15</td>\n",
" <td> Data Science DC</td>\n",
" <td>2013-06-01 00:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-28 14:27:19</th>\n",
" <td>-76.99</td>\n",
" <td> 38.94</td>\n",
" <td> DC</td>\n",
" <td> 13855327</td>\n",
" <td>2012-07-06 12:48:27</td>\n",
" <td> Data Science DC</td>\n",
" <td>2013-01-01 00:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-03-15 17:08:49</th>\n",
" <td>-77.02</td>\n",
" <td> 38.91</td>\n",
" <td> DC</td>\n",
" <td> 75664912</td>\n",
" <td>2013-03-15 17:08:49</td>\n",
" <td> Data Science DC</td>\n",
" <td>2013-03-01 00:00:00</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 4,
"text": [
" lon lat state member_id joined \\\n",
"visited \n",
"2013-05-28 17:39:47 -77.02 38.91 DC 18800821 2012-01-14 21:32:33 \n",
"2013-11-05 20:29:44 -77.02 38.91 DC 52767982 2012-06-27 11:27:48 \n",
"2013-06-18 11:17:15 -77.02 38.95 DC 13617288 2012-03-09 12:38:15 \n",
"2013-01-28 14:27:19 -76.99 38.94 DC 13855327 2012-07-06 12:48:27 \n",
"2013-03-15 17:08:49 -77.02 38.91 DC 75664912 2013-03-15 17:08:49 \n",
"\n",
" groupName monthly \n",
"visited \n",
"2013-05-28 17:39:47 Data Science DC 2013-05-01 00:00:00 \n",
"2013-11-05 20:29:44 Data Science DC 2013-11-01 00:00:00 \n",
"2013-06-18 11:17:15 Data Science DC 2013-06-01 00:00:00 \n",
"2013-01-28 14:27:19 Data Science DC 2013-01-01 00:00:00 \n",
"2013-03-15 17:08:49 Data Science DC 2013-03-01 00:00:00 "
]
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"visits = dat.groupby(['groupName','monthly']).apply(len)\n",
"visits.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 5,
"text": [
"groupName monthly \n",
"Data Innovation DC 2012-06-01 7\n",
" 2012-10-01 6\n",
" 2012-11-01 10\n",
" 2012-12-01 17\n",
" 2013-01-01 39\n",
"dtype: int64"
]
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%matplotlib inline\n",
"visits2 = visits.unstack('groupName')\n",
"visits2.columns.name = 'Program'\n",
"\n"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"visits2.plot(xlim=('2013-01-01','2013-11-01'));\n",
"plt.ylabel('Number of visits');\n",
"plt.xlabel('');\n",
"plt.title('2013');"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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mpkZaWlpEROTn50c//vhjneVW1G/79u1kaWlJmpqa9N1334lsi0WLFtHo0aOrHBMIBOTk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TiOsPjiA97NF+4IOD891x9fX18JP+3Fixehrq4OZ2dnDBs2TGIByoqamhrU1dWx50lOTsbatWuZ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\n4pXk5GSoq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"text": [
"<matplotlib.figure.Figure at 0x10621a9d0>"
]
}
],
"prompt_number": 7
}
],
"metadata": {}
}
]
}
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