{
 "metadata": {
  "name": "end-of-day-data-analysis"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "% for i in `find . -type f`; do grep ^Year $i | cut -d/ -f3; done > months.txt\n",
      "% wc months.txt\n",
      "     351     351    1053 months.txt\n",
      "% find . -type f | wc -l\n",
      "     354\n",
      "\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pwd"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 1,
       "text": [
        "u'/Users/t/dev/2012-scripps/python'"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cd ../1-Shell/data"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "/Users/t/dev/2012-scripps/1-Shell/data\n"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ls months.txt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "months.txt\r\n"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "months = numpy.loadtxt('months.txt')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print len(months)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "351\n"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "months[0]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "2.0"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "months[1]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "1.0"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "hist(months, bins=12, range=(1,12))\n",
      "axis(xmin=1)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "(1, 12.0, 0.0, 45.0)"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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NLLI8nk1K3OLLAGCiIo09yd096REm/akVp9Op7u5uSVIgEJDD4Zh0UQBA7Ew6yMvKylRf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\nHEEOAIYjyAHAcP8PolP4SSc1uVIAAAAASUVORK5CYII=\n"
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "months == 0"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 13,
       "text": [
        "array([False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False,\n",
        "       False, False, False, False, False, False, False, False, False], dtype=bool)"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}