{
 "metadata": {
  "name": "region_analysis"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Analyse des finances des r\u00e9gions sur 2008-2012\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd\n",
      "import os\n",
      "curdir = os.path.abspath('./..')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pd.read_csv(os.path.join(curdir, 'scraped_data', 'region_all.csv'))\n",
      "df[['name', 'year', 'net_profit', 'tipp', 'staff_costs', 'financial_costs', 'debt_repayments', 'allocation']].head(n=20)"
     ],
     "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>name</th>\n",
        "      <th>year</th>\n",
        "      <th>net_profit</th>\n",
        "      <th>tipp</th>\n",
        "      <th>staff_costs</th>\n",
        "      <th>financial_costs</th>\n",
        "      <th>debt_repayments</th>\n",
        "      <th>allocation</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0 </th>\n",
        "      <td>                REGION GUADELOUPE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  65942000</td>\n",
        "      <td>         0</td>\n",
        "      <td>  31673000</td>\n",
        "      <td>   8743000</td>\n",
        "      <td>  24790000</td>\n",
        "      <td>  14553000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1 </th>\n",
        "      <td>                REGION MARTINIQUE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  71292000</td>\n",
        "      <td>         0</td>\n",
        "      <td>  26543000</td>\n",
        "      <td>    369000</td>\n",
        "      <td>         0</td>\n",
        "      <td>  20208000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2 </th>\n",
        "      <td>                    REGION GUYANE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  35359000</td>\n",
        "      <td>         0</td>\n",
        "      <td>  13693000</td>\n",
        "      <td>   3664000</td>\n",
        "      <td>   5886000</td>\n",
        "      <td>   4189000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3 </th>\n",
        "      <td>                   REGION REUNION</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 188265000</td>\n",
        "      <td>         0</td>\n",
        "      <td>  31356000</td>\n",
        "      <td>  13130000</td>\n",
        "      <td>  23493000</td>\n",
        "      <td>  26055000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4 </th>\n",
        "      <td>             REGION ILE-DE-FRANCE</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 746242000</td>\n",
        "      <td> 876675000</td>\n",
        "      <td> 299710000</td>\n",
        "      <td> 139103000</td>\n",
        "      <td> 598589000</td>\n",
        "      <td> 719797000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 </th>\n",
        "      <td>         REGION CHAMPAGNE-ARDENNE</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 113816000</td>\n",
        "      <td>  83598000</td>\n",
        "      <td>  52116000</td>\n",
        "      <td>  15482000</td>\n",
        "      <td>  84846000</td>\n",
        "      <td> 128635000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6 </th>\n",
        "      <td>                  REGION PICARDIE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  89269000</td>\n",
        "      <td> 109442000</td>\n",
        "      <td>  83008000</td>\n",
        "      <td>  11769000</td>\n",
        "      <td>  16762000</td>\n",
        "      <td> 217505000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7 </th>\n",
        "      <td>           REGION HAUTE-NORMANDIE</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 191186000</td>\n",
        "      <td> 113337000</td>\n",
        "      <td>  88154000</td>\n",
        "      <td>   5243000</td>\n",
        "      <td>  23572000</td>\n",
        "      <td> 147805000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8 </th>\n",
        "      <td>           REGION BASSE-NORMANDIE</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 106520000</td>\n",
        "      <td>  92536000</td>\n",
        "      <td>  59853000</td>\n",
        "      <td>   7586000</td>\n",
        "      <td>   8556000</td>\n",
        "      <td> 106573000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9 </th>\n",
        "      <td>                    REGION CENTRE</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 179217000</td>\n",
        "      <td> 137935000</td>\n",
        "      <td>  87114000</td>\n",
        "      <td>  20767000</td>\n",
        "      <td> 116535000</td>\n",
        "      <td> 238158000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td>                 REGION BOURGOGNE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  94530000</td>\n",
        "      <td> 104413000</td>\n",
        "      <td>  62767000</td>\n",
        "      <td>   9005000</td>\n",
        "      <td>  23591000</td>\n",
        "      <td> 168454000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td> REGION NORD-PAS-DE-CALAIS (NPDC)</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 278469000</td>\n",
        "      <td> 239448000</td>\n",
        "      <td> 200769000</td>\n",
        "      <td>  60870000</td>\n",
        "      <td> 173442000</td>\n",
        "      <td> 372171000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
        "      <td>                  REGION LORRAINE</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 134986000</td>\n",
        "      <td> 114220000</td>\n",
        "      <td>  91461000</td>\n",
        "      <td>  18349000</td>\n",
        "      <td>  23265000</td>\n",
        "      <td> 213369000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
        "      <td>                    REGION ALSACE</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 140198000</td>\n",
        "      <td> 101730000</td>\n",
        "      <td>  61721000</td>\n",
        "      <td>  24981000</td>\n",
        "      <td>  43600000</td>\n",
        "      <td> 185449000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
        "      <td>             REGION FRANCHE-COMTE</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 104875000</td>\n",
        "      <td>  73296000</td>\n",
        "      <td>  53396000</td>\n",
        "      <td>   5923000</td>\n",
        "      <td>  13264000</td>\n",
        "      <td> 114564000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
        "      <td>          REGION PAYS-DE-LA-LOIRE</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 277374000</td>\n",
        "      <td> 181088000</td>\n",
        "      <td> 104423000</td>\n",
        "      <td>  29905000</td>\n",
        "      <td> 120691000</td>\n",
        "      <td> 257801000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
        "      <td>                  REGION BRETAGNE</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 229275000</td>\n",
        "      <td> 178006000</td>\n",
        "      <td> 100303000</td>\n",
        "      <td>  15918000</td>\n",
        "      <td>  26512000</td>\n",
        "      <td> 249142000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17</th>\n",
        "      <td>          REGION POITOU-CHARENTES</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 134872000</td>\n",
        "      <td>  80540000</td>\n",
        "      <td>  85064000</td>\n",
        "      <td>   9495000</td>\n",
        "      <td>  51677000</td>\n",
        "      <td> 136827000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18</th>\n",
        "      <td>                 REGION AQUITAINE</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 355151000</td>\n",
        "      <td> 162908000</td>\n",
        "      <td> 108126000</td>\n",
        "      <td>   9761000</td>\n",
        "      <td>  41133000</td>\n",
        "      <td> 222089000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>19</th>\n",
        "      <td>             REGION MIDI-PYRENEES</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 231328000</td>\n",
        "      <td> 151796000</td>\n",
        "      <td> 112298000</td>\n",
        "      <td>   5739000</td>\n",
        "      <td>   6558000</td>\n",
        "      <td> 245376000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 144,
       "text": [
        "                                name  year  net_profit       tipp  \\\n",
        "0                  REGION GUADELOUPE  2008    65942000          0   \n",
        "1                  REGION MARTINIQUE  2008    71292000          0   \n",
        "2                      REGION GUYANE  2008    35359000          0   \n",
        "3                     REGION REUNION  2008   188265000          0   \n",
        "4               REGION ILE-DE-FRANCE  2008   746242000  876675000   \n",
        "5           REGION CHAMPAGNE-ARDENNE  2008   113816000   83598000   \n",
        "6                    REGION PICARDIE  2008    89269000  109442000   \n",
        "7             REGION HAUTE-NORMANDIE  2008   191186000  113337000   \n",
        "8             REGION BASSE-NORMANDIE  2008   106520000   92536000   \n",
        "9                      REGION CENTRE  2008   179217000  137935000   \n",
        "10                  REGION BOURGOGNE  2008    94530000  104413000   \n",
        "11  REGION NORD-PAS-DE-CALAIS (NPDC)  2008   278469000  239448000   \n",
        "12                   REGION LORRAINE  2008   134986000  114220000   \n",
        "13                     REGION ALSACE  2008   140198000  101730000   \n",
        "14              REGION FRANCHE-COMTE  2008   104875000   73296000   \n",
        "15           REGION PAYS-DE-LA-LOIRE  2008   277374000  181088000   \n",
        "16                   REGION BRETAGNE  2008   229275000  178006000   \n",
        "17           REGION POITOU-CHARENTES  2008   134872000   80540000   \n",
        "18                  REGION AQUITAINE  2008   355151000  162908000   \n",
        "19              REGION MIDI-PYRENEES  2008   231328000  151796000   \n",
        "\n",
        "    staff_costs  financial_costs  debt_repayments  allocation  \n",
        "0      31673000          8743000         24790000    14553000  \n",
        "1      26543000           369000                0    20208000  \n",
        "2      13693000          3664000          5886000     4189000  \n",
        "3      31356000         13130000         23493000    26055000  \n",
        "4     299710000        139103000        598589000   719797000  \n",
        "5      52116000         15482000         84846000   128635000  \n",
        "6      83008000         11769000         16762000   217505000  \n",
        "7      88154000          5243000         23572000   147805000  \n",
        "8      59853000          7586000          8556000   106573000  \n",
        "9      87114000         20767000        116535000   238158000  \n",
        "10     62767000          9005000         23591000   168454000  \n",
        "11    200769000         60870000        173442000   372171000  \n",
        "12     91461000         18349000         23265000   213369000  \n",
        "13     61721000         24981000         43600000   185449000  \n",
        "14     53396000          5923000         13264000   114564000  \n",
        "15    104423000         29905000        120691000   257801000  \n",
        "16    100303000         15918000         26512000   249142000  \n",
        "17     85064000          9495000         51677000   136827000  \n",
        "18    108126000          9761000         41133000   222089000  \n",
        "19    112298000          5739000          6558000   245376000  "
       ]
      }
     ],
     "prompt_number": 144
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df['staff_costs_per_person'] = df['staff_costs']/df['population']\n",
      "df['allocation_per_person'] = df['allocation']/df['population']\n",
      "df['operating_costs_per_person'] = df['operating_costs']/df['population']\n",
      "df[['name', 'year', 'staff_costs_per_person', 'allocation_per_person', 'operating_costs_per_person']].head(n=26)"
     ],
     "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>name</th>\n",
        "      <th>year</th>\n",
        "      <th>staff_costs_per_person</th>\n",
        "      <th>allocation_per_person</th>\n",
        "      <th>operating_costs_per_person</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0 </th>\n",
        "      <td>                  REGION GUADELOUPE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  74.966390</td>\n",
        "      <td>  34.445297</td>\n",
        "      <td>  437.755624</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1 </th>\n",
        "      <td>                  REGION MARTINIQUE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  69.588676</td>\n",
        "      <td>  52.979994</td>\n",
        "      <td>  413.075110</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2 </th>\n",
        "      <td>                      REGION GUYANE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  87.098395</td>\n",
        "      <td>  26.645379</td>\n",
        "      <td>  378.511955</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3 </th>\n",
        "      <td>                     REGION REUNION</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  44.394733</td>\n",
        "      <td>  36.889424</td>\n",
        "      <td>  332.129407</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4 </th>\n",
        "      <td>               REGION ILE-DE-FRANCE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  27.365750</td>\n",
        "      <td>  65.722816</td>\n",
        "      <td>  239.253686</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 </th>\n",
        "      <td>           REGION CHAMPAGNE-ARDENNE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  38.824074</td>\n",
        "      <td>  95.827284</td>\n",
        "      <td>  291.970205</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6 </th>\n",
        "      <td>                    REGION PICARDIE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  44.688479</td>\n",
        "      <td> 117.096756</td>\n",
        "      <td>  352.484359</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7 </th>\n",
        "      <td>             REGION HAUTE-NORMANDIE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  49.519378</td>\n",
        "      <td>  83.027561</td>\n",
        "      <td>  279.896213</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8 </th>\n",
        "      <td>             REGION BASSE-NORMANDIE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  42.085005</td>\n",
        "      <td>  74.935680</td>\n",
        "      <td>  289.179457</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9 </th>\n",
        "      <td>                      REGION CENTRE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  35.697646</td>\n",
        "      <td>  97.592579</td>\n",
        "      <td>  266.884916</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td>                   REGION BOURGOGNE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  38.984092</td>\n",
        "      <td> 104.625460</td>\n",
        "      <td>  296.167799</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td>   REGION NORD-PAS-DE-CALAIS (NPDC)</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  50.235101</td>\n",
        "      <td>  93.122183</td>\n",
        "      <td>  289.386847</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
        "      <td>                    REGION LORRAINE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  39.587063</td>\n",
        "      <td>  92.352500</td>\n",
        "      <td>  275.749921</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
        "      <td>                      REGION ALSACE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  35.591603</td>\n",
        "      <td> 106.939731</td>\n",
        "      <td>  296.516151</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
        "      <td>               REGION FRANCHE-COMTE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  47.800519</td>\n",
        "      <td> 102.558594</td>\n",
        "      <td>  299.737077</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
        "      <td>            REGION PAYS-DE-LA-LOIRE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  32.408759</td>\n",
        "      <td>  80.011210</td>\n",
        "      <td>  242.823770</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
        "      <td>                    REGION BRETAGNE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  34.513490</td>\n",
        "      <td>  85.727843</td>\n",
        "      <td>  235.291001</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17</th>\n",
        "      <td>            REGION POITOU-CHARENTES</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  51.866142</td>\n",
        "      <td>  83.427638</td>\n",
        "      <td>  262.594600</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18</th>\n",
        "      <td>                   REGION AQUITAINE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  37.177666</td>\n",
        "      <td>  76.362306</td>\n",
        "      <td>  233.634844</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>19</th>\n",
        "      <td>               REGION MIDI-PYRENEES</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  44.009316</td>\n",
        "      <td>  96.162264</td>\n",
        "      <td>  274.924393</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>20</th>\n",
        "      <td>                    REGION LIMOUSIN</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  62.974461</td>\n",
        "      <td> 159.629729</td>\n",
        "      <td>  394.963562</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>21</th>\n",
        "      <td>                 REGION RHONE-ALPES</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  34.915463</td>\n",
        "      <td> 100.915842</td>\n",
        "      <td>  306.166942</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>22</th>\n",
        "      <td>                    REGION AUVERGNE</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  39.731740</td>\n",
        "      <td> 112.003563</td>\n",
        "      <td>  311.613458</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>23</th>\n",
        "      <td>        REGION LANGUEDOC-ROUSSILLON</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  38.376093</td>\n",
        "      <td>  96.768755</td>\n",
        "      <td>  247.873367</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24</th>\n",
        "      <td>  REGION PROVENCE-ALPES-COTE-D'AZUR</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  37.737528</td>\n",
        "      <td>  88.915795</td>\n",
        "      <td>  292.483319</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25</th>\n",
        "      <td> COLLECTIVITE TERRITORIALE DE CORSE</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 155.605774</td>\n",
        "      <td> 122.457686</td>\n",
        "      <td> 1480.038125</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 157,
       "text": [
        "                                  name  year  staff_costs_per_person  \\\n",
        "0                    REGION GUADELOUPE  2008               74.966390   \n",
        "1                    REGION MARTINIQUE  2008               69.588676   \n",
        "2                        REGION GUYANE  2008               87.098395   \n",
        "3                       REGION REUNION  2008               44.394733   \n",
        "4                 REGION ILE-DE-FRANCE  2008               27.365750   \n",
        "5             REGION CHAMPAGNE-ARDENNE  2008               38.824074   \n",
        "6                      REGION PICARDIE  2008               44.688479   \n",
        "7               REGION HAUTE-NORMANDIE  2008               49.519378   \n",
        "8               REGION BASSE-NORMANDIE  2008               42.085005   \n",
        "9                        REGION CENTRE  2008               35.697646   \n",
        "10                    REGION BOURGOGNE  2008               38.984092   \n",
        "11    REGION NORD-PAS-DE-CALAIS (NPDC)  2008               50.235101   \n",
        "12                     REGION LORRAINE  2008               39.587063   \n",
        "13                       REGION ALSACE  2008               35.591603   \n",
        "14                REGION FRANCHE-COMTE  2008               47.800519   \n",
        "15             REGION PAYS-DE-LA-LOIRE  2008               32.408759   \n",
        "16                     REGION BRETAGNE  2008               34.513490   \n",
        "17             REGION POITOU-CHARENTES  2008               51.866142   \n",
        "18                    REGION AQUITAINE  2008               37.177666   \n",
        "19                REGION MIDI-PYRENEES  2008               44.009316   \n",
        "20                     REGION LIMOUSIN  2008               62.974461   \n",
        "21                  REGION RHONE-ALPES  2008               34.915463   \n",
        "22                     REGION AUVERGNE  2008               39.731740   \n",
        "23         REGION LANGUEDOC-ROUSSILLON  2008               38.376093   \n",
        "24   REGION PROVENCE-ALPES-COTE-D'AZUR  2008               37.737528   \n",
        "25  COLLECTIVITE TERRITORIALE DE CORSE  2008              155.605774   \n",
        "\n",
        "    allocation_per_person  operating_costs_per_person  \n",
        "0               34.445297                  437.755624  \n",
        "1               52.979994                  413.075110  \n",
        "2               26.645379                  378.511955  \n",
        "3               36.889424                  332.129407  \n",
        "4               65.722816                  239.253686  \n",
        "5               95.827284                  291.970205  \n",
        "6              117.096756                  352.484359  \n",
        "7               83.027561                  279.896213  \n",
        "8               74.935680                  289.179457  \n",
        "9               97.592579                  266.884916  \n",
        "10             104.625460                  296.167799  \n",
        "11              93.122183                  289.386847  \n",
        "12              92.352500                  275.749921  \n",
        "13             106.939731                  296.516151  \n",
        "14             102.558594                  299.737077  \n",
        "15              80.011210                  242.823770  \n",
        "16              85.727843                  235.291001  \n",
        "17              83.427638                  262.594600  \n",
        "18              76.362306                  233.634844  \n",
        "19              96.162264                  274.924393  \n",
        "20             159.629729                  394.963562  \n",
        "21             100.915842                  306.166942  \n",
        "22             112.003563                  311.613458  \n",
        "23              96.768755                  247.873367  \n",
        "24              88.915795                  292.483319  \n",
        "25             122.457686                 1480.038125  "
       ]
      }
     ],
     "prompt_number": 157
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dfgp = df.groupby(['insee_code', 'year']).first()\n",
      "dfmean = df.groupby('year').mean()\n",
      "population_by_year = df.groupby('year')['population'].sum()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 124
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def plot_value(value, by_person=True):\n",
      "    fig, axes = plt.subplots(figsize=(12,6))\n",
      "    axes.set_title('%s by person from 2008 to 2012'%value)\n",
      "    \n",
      "    for reg in dfgp.index.get_level_values(0).unique()[:5]:\n",
      "        years = dfgp.index.get_level_values(1).unique()\n",
      "        if by_person:\n",
      "            data = dfgp[value][reg]/dfgp['population'][reg]\n",
      "        else:\n",
      "            data = dfgp[value][reg]\n",
      "        axes.plot(years, data.tolist(), label=dfgp['name'][reg][years[0]])\n",
      "    if by_person:\n",
      "        mean = dfmean[value]/population_by_year\n",
      "    else:\n",
      "        mean = dfmean[value]\n",
      "    axes.plot(years, mean.tolist(), label='mean')\n",
      "    axes.legend(loc='best');"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 153
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plot_value('tipp')\n",
      "plot_value('debt_annual_costs')p\n",
      "plot_value('staff_costs')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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hwwYcPnwYL7/8MsaMGYNDhw5h9OjRePnlly9WexljLSDSBXVNNWXy/v37ERcXh6KiIsye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\nVjN2OdCJEyewY8cOPPHEEw06FrX6fu5RUVGYN28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dOXLEofIJCQlKSEjQtm3bdM8998jF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\nJv265+8TTzxhE8SW7Ju9gLx02qBBg+Tj46O//e1vlbaP2wO3WAYAoBQ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      },
      {
       "output_type": "display_data",
       "png": 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ERCKBtbU1vLy8cPToUdE5jh07JrzPyMjAxIkTYWxsDIlEAnd3dxw+fFjULp7n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\nc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      },
      {
       "output_type": "display_data",
       "png": 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2/PSnP8XVV18Nr9eLyspKAJGAUVhYqH9/sINqDQlr0Joi1dj4BWFJ7iRmfB7S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\nIiJqkxgIExEREVGbxECYiIiIiNqk/wfXReZpvJECpgAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 154
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plot_value('staff_costs', by_person=False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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vEBER0UPGYEwPlcFUglPZl3EkMwXncq/gaVcvhHgFoZW7Lxz44A0iIiKqRQzG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\n"
      }
     ],
     "prompt_number": 133
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Chargement des donn\u00e9es avec le fichier csv avec les headers en fran\u00e7ais"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pd.read_csv(os.path.join(curdir, 'nosdonnees', 'region_all.csv'))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 158
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df.columns.tolist()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 163,
       "text": [
        "['R\\xc3\\xa9ductions de bases accord\\xc3\\xa9es sur d\\xc3\\xa9lib\\xc3\\xa9rations de la Taxe fonci\\xc3\\xa8re sur les propri\\xc3\\xa9t\\xc3\\xa9s non b\\xc3\\xa2ties',\n",
        " 'contributions obligatoires et participations',\n",
        " 'Taux vot\\xc3\\xa9 de la Taxe fonci\\xc3\\xa8re sur les propri\\xc3\\xa9t\\xc3\\xa9s b\\xc3\\xa2ties',\n",
        " 'Subventions et contingents',\n",
        " \"Besoin de financement de la section d'investissement\",\n",
        " 'aides \\xc3\\xa0 la personne',\n",
        " 'TOTAL DES PRODUITS DE FONCTIONNEMENT = A',\n",
        " 'Produits des imp\\xc3\\xb4ts locaux de la Taxe professionnelle',\n",
        " 'R\\xc3\\xa9ductions de bases accord\\xc3\\xa9es sur d\\xc3\\xa9lib\\xc3\\xa9rations de la Taxe fonci\\xc3\\xa8re sur les propri\\xc3\\xa9t\\xc3\\xa9s b\\xc3\\xa2ties',\n",
        " 'Produits des imp\\xc3\\xb4ts locaux de la Taxe fonci\\xc3\\xa8re sur les propri\\xc3\\xa9t\\xc3\\xa9s b\\xc3\\xa2ties',\n",
        " 'Bases nettes impos\\xc3\\xa9es de la Taxe fonci\\xc3\\xa8re sur les propri\\xc3\\xa9t\\xc3\\xa9s non b\\xc3\\xa2ties',\n",
        " \"Subventions d'investissements re\\xc3\\xa7ues\",\n",
        " 'Produits des imp\\xc3\\xb4ts locaux de la Impositions forfaitaires sur les entreprises de r\\xc3\\xa9seau',\n",
        " 'R\\xc3\\xa9sultat comptable = A - B',\n",
        " 'Bases nettes impos\\xc3\\xa9es de la Cotisation sur la valeur ajout\\xc3\\xa9e des entreprises',\n",
        " 'Taux vot\\xc3\\xa9 de la Impositions forfaitaires sur les entreprises de r\\xc3\\xa9seau',\n",
        " 'Solde des op\\xc3\\xa9rations pour compte de tiers',\n",
        " 'R\\xc3\\xa9ductions de bases accord\\xc3\\xa9es sur d\\xc3\\xa9lib\\xc3\\xa9rations de la Taxe professionnelle',\n",
        " \"Subventions d'\\xc3\\xa9quipement vers\\xc3\\xa9es\",\n",
        " 'Taux vot\\xc3\\xa9 de la Taxe professionnelle',\n",
        " 'Population',\n",
        " 'Nom',\n",
        " 'produits de fonctionnement r\\xc3\\xa9els',\n",
        " 'R\\xc3\\xa9ductions de bases accord\\xc3\\xa9es sur d\\xc3\\xa9lib\\xc3\\xa9rations de la Cotisation sur la valeur ajout\\xc3\\xa9e des entreprises',\n",
        " 'Produits des imp\\xc3\\xb4ts locaux de la Cotisation sur la valeur ajout\\xc3\\xa9e des entreprises',\n",
        " 'Code Officiel G\\xc3\\xa9ographique (insee)',\n",
        " 'Imp\\xc3\\xb4ts directs',\n",
        " 'Type de zone administrative',\n",
        " 'Fiscalit\\xc3\\xa9 revers\\xc3\\xa9e',\n",
        " 'Produits des imp\\xc3\\xb4ts locaux de la Taxe fonci\\xc3\\xa8re sur les propri\\xc3\\xa9t\\xc3\\xa9s non b\\xc3\\xa2ties',\n",
        " \"D\\xc3\\xa9penses d'investissement directes\",\n",
        " 'Charge de personnel (montant net)',\n",
        " \"TOTAL DES RESSOURCES D'INVESTISSEMENT = C\",\n",
        " 'Charges financi\\xc3\\xa8res',\n",
        " 'subventions',\n",
        " 'Ann\\xc3\\xa9e',\n",
        " 'FCTVA',\n",
        " 'Total des charges de fonctionnement = B',\n",
        " 'Remboursement en capital des emprunts',\n",
        " \"Produits des cessions d'immobilisations\",\n",
        " 'Achats et charges externes (montant net)',\n",
        " 'Besoin de financement r\\xc3\\xa9siduel = D-C',\n",
        " \"Dotation d'apprentissage et de formation professionnelle\",\n",
        " 'encours des dettes bancaires et assimil\\xc3\\xa9es',\n",
        " 'R\\xc3\\xa9ductions de bases accord\\xc3\\xa9es sur d\\xc3\\xa9lib\\xc3\\xa9rations de la Impositions forfaitaires sur les entreprises de r\\xc3\\xa9seau',\n",
        " \"R\\xc3\\xa9sultat d'ensemble\",\n",
        " 'Bases nettes impos\\xc3\\xa9es de la Taxe professionnelle',\n",
        " 'Bases nettes impos\\xc3\\xa9es de la Taxe fonci\\xc3\\xa8re sur les propri\\xc3\\xa9t\\xc3\\xa9s b\\xc3\\xa2ties',\n",
        " 'Taux vot\\xc3\\xa9 de la Cotisation sur la valeur ajout\\xc3\\xa9e des entreprises',\n",
        " 'TIPP',\n",
        " 'charges de fonctionnement r\\xc3\\xa9elles',\n",
        " 'Autres imp\\xc3\\xb4ts et taxes',\n",
        " 'Dotation globale de fonctionnement',\n",
        " 'Emprunts souscrits',\n",
        " 'Attributions de p\\xc3\\xa9r\\xc3\\xa9quation et de compensation',\n",
        " \"Total des emplois d'investissement budg\\xc3\\xa9taires = D\",\n",
        " 'Taux vot\\xc3\\xa9 de la Taxe fonci\\xc3\\xa8re sur les propri\\xc3\\xa9t\\xc3\\xa9s non b\\xc3\\xa2ties',\n",
        " 'url',\n",
        " 'Annuit\\xc3\\xa9 de la dette',\n",
        " 'Bases nettes impos\\xc3\\xa9es de la Impositions forfaitaires sur les entreprises de r\\xc3\\xa9seau']"
       ]
      }
     ],
     "prompt_number": 163
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}