Created
February 7, 2013 23:12
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{ | |
"metadata": { | |
"name": "Untitled1" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import pandas as pd" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 1 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"sodata = pd.read_csv('/Users/wesm/Downloads/QueryResults.csv', parse_dates=['CreationDate'])\n", | |
"view_counts = sodata.set_index('CreationDate').ViewCount" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 3 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"view_counts = view_counts.sort_index()\n", | |
"view_counts" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "pyout", | |
"prompt_number": 7, | |
"text": [ | |
"CreationDate\n", | |
"2008-10-09 22:25:40 237\n", | |
"2010-03-18 16:56:42 1148\n", | |
"2010-10-11 22:35:05 2445\n", | |
"2010-11-11 19:40:43 113\n", | |
"2011-03-30 12:26:50 1128\n", | |
"2011-04-01 14:50:44 1430\n", | |
"2011-04-05 21:13:50 2484\n", | |
"2011-05-10 19:55:08 6454\n", | |
"2011-06-24 12:31:45 2035\n", | |
"2011-09-28 01:58:38 960\n", | |
"2011-10-14 10:33:54 383\n", | |
"2011-10-15 08:21:17 2913\n", | |
"2011-10-18 20:16:12 1066\n", | |
"2011-10-20 14:46:14 4228\n", | |
"2011-10-20 17:28:43 128\n", | |
"...\n", | |
"2013-01-31 13:52:00 48\n", | |
"2013-01-31 15:45:10 34\n", | |
"2013-01-31 16:59:30 54\n", | |
"2013-02-01 04:05:58 32\n", | |
"2013-02-01 04:38:00 62\n", | |
"2013-02-01 08:40:19 28\n", | |
"2013-02-01 12:29:00 50\n", | |
"2013-02-01 16:07:53 46\n", | |
"2013-02-01 21:16:52 36\n", | |
"2013-02-01 23:32:46 47\n", | |
"2013-02-02 00:22:08 47\n", | |
"2013-02-02 12:03:46 21\n", | |
"2013-02-02 14:40:31 19\n", | |
"2013-02-02 19:52:18 21\n", | |
"2013-02-02 22:28:38 5\n", | |
"Name: ViewCount, Length: 961" | |
] | |
} | |
], | |
"prompt_number": 7 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"qs_by_day = view_counts.groupby(view_counts.index.normalize()).size()" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 10 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Cumulative questions since June 2011\n", | |
"-----" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"qs_by_day.cumsum()['2011-06':].plot()" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "pyout", | |
"prompt_number": 13, | |
"text": [ | |
"<matplotlib.axes.AxesSubplot at 0x10cae2e10>" | |
] | |
}, | |
{ | |
"output_type": "display_data", | |
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2MxN+OnUCxo/n8fxMd5XayWJlre2usDiLspLkIBLW7RkyBBg6VGjnj48HoqOB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\nkxmiAAAAAElFTkSuQmCC\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x10cae2090>" | |
] | |
} | |
], | |
"prompt_number": 13 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Questions by month\n", | |
"-----" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"by_month = qs_by_day.resample('M', how='sum')['2011-06':]\n", | |
"\n", | |
"formatted = by_month.rename(lambda x: x.strftime('%b-%Y'))\n", | |
"\n", | |
"formatted.plot(kind='bar')" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "pyout", | |
"prompt_number": 21, | |
"text": [ | |
"<matplotlib.axes.AxesSubplot at 0x10d566e90>" | |
] | |
}, | |
{ | |
"output_type": "display_data", | |
"png": 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I+Zezb7n1SvYuqleyd1G9aN81XMivXbsGAOjatStatGiB8PBwZGdn12QXTDVM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\nYRhG4XAhZxiGUTj/D+1tdXR6ALyLAAAAAElFTkSuQmCC\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x10d566890>" | |
] | |
} | |
], | |
"prompt_number": 21 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [] | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
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