Created
September 5, 2014 18:45
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| { | |
| "metadata": { | |
| "name": "", | |
| "signature": "sha256:9d0a83225f170377ef40bebd15348e81d24b51425191fbadd75c0ba6afaee38a" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "import pandas as pd\n", | |
| "from matplotlib import pyplot as plt\n", | |
| "\n", | |
| "df = pd.read_csv(\"etc/971.txt\")\n", | |
| "df['created'] = pd.to_datetime(df['created'], unit=\"s\")\n", | |
| "\n" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 1 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "df['created'].groupby(df['created'].apply(lambda x: x.date())).count()" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "metadata": {}, | |
| "output_type": "pyout", | |
| "prompt_number": 2, | |
| "text": [ | |
| "created\n", | |
| "2012-12-14 30094\n", | |
| "2012-12-15 69879\n", | |
| "2012-12-16 28142\n", | |
| "2012-12-17 33647\n", | |
| "2012-12-18 24480\n", | |
| "2012-12-19 7288\n", | |
| "2012-12-20 2808\n", | |
| "2012-12-21 735\n", | |
| "Name: created, dtype: int64" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 2 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "plt.figure(figsize=(18.0, 8.0))\n", | |
| "df['created'].groupby(df['created'].apply(lambda x: x.date())).count().plot()" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "metadata": {}, | |
| "output_type": "pyout", | |
| "prompt_number": 3, | |
| "text": [ | |
| "<matplotlib.axes.AxesSubplot at 0x361b790>" | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "output_type": "display_data", | |
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m0trwcKQl5d55B26/Hc45J3aS4uUsYs0NGAD33guTJ8dOkh7Wjwpl7SgJ60eF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\n58J22226EmSrrRItX8qM1C05KcGRFkmSJEmdxvr1sHBh43G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| |
| "text": [ | |
| "<matplotlib.figure.Figure at 0x361b290>" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 3 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [] | |
| } | |
| ], | |
| "metadata": {} | |
| } | |
| ] | |
| } |
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