20160106_AgeDesDeputes.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dans ce billet, je calcule la moyenne d'âge des députés français (c'est-à-dire les élus qui représentent les français à l'assemblée nationale, à ne pas confondre avec les sénateurs). Je me sers pour cela d'un document disponible sur le site de l'assemblée nationale, en PDF. J'en extrais les textes puis les traite afin de tracer un histogramme à l'aide du package d'analyse de données pour Python `pandas`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pourquoi calculer l'âge moyen des députés ? Bonne question : l'idée m'est venue suite à la lecture de ce tweet."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<blockquote class=\"twitter-tweet\" lang=\"en\"><p lang=\"fr\" dir=\"ltr\">La moyennz d&#39;âge des députés et sénateurs français est de 65 ans ! STOP ! Place à la jeunesse !</p>&mdash; Geof&#39;☭ (@DebailleuxG) <a href=\"https://twitter.com/DebailleuxG/status/683281096822374401\">January 2, 2016</a></blockquote>\n",
    "<script async src=\"//platform.twitter.com/widgets.js\" charset=\"utf-8\"></script>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comment savoir si ce qui est affirmé ici est vrai ou pas ? Je me concentre ici sur une réponse partielle : calculer l'âge moyen des députés et plus exactement leur distribution.\n",
    "\n",
    "Ca tombe bien, car l'assemblée nationale met à disposition une liste alphabétique en PDF [ici](http://www2.assemblee-nationale.fr/static/tribun/trombinoscope/trombinoscope_alpha.pdf). Nous allons nous en servir pour calculer la distribution des âges. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conversion du PDF en texte "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Il s'agit tout d'abord de convertir le fichier PDF en fichier texte brut. Je me sers ici de `pdftotext`, un utilitaire que l'on peut utiliser en ligne de commande."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "pdftotext version 3.04\n",
      "Copyright 1996-2014 Glyph & Cog, LLC\n",
      "Usage: pdftotext [options] <PDF-file> [<text-file>]\n",
      "  -f <int>             : first page to convert\n",
      "  -l <int>             : last page to convert\n",
      "  -layout              : maintain original physical layout\n",
      "  -table               : similar to -layout, but optimized for tables\n",
      "  -lineprinter         : use strict fixed-pitch/height layout\n",
      "  -raw                 : keep strings in content stream order\n",
      "  -fixed <fp>          : assume fixed-pitch (or tabular) text\n",
      "  -linespacing <fp>    : fixed line spacing for LinePrinter mode\n",
      "  -clip                : separate clipped text\n",
      "  -enc <string>        : output text encoding name\n",
      "  -eol <string>        : output end-of-line convention (unix, dos, or mac)\n",
      "  -nopgbrk             : don't insert page breaks between pages\n",
      "  -opw <string>        : owner password (for encrypted files)\n",
      "  -upw <string>        : user password (for encrypted files)\n",
      "  -q                   : don't print any messages or errors\n",
      "  -cfg <string>        : configuration file to use in place of .xpdfrc\n",
      "  -v                   : print copyright and version info\n",
      "  -h                   : print usage information\n",
      "  -help                : print usage information\n",
      "  --help               : print usage information\n",
      "  -?                   : print usage information\n"
     ]
    }
   ],
   "source": [
    "!pdftotext.exe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Après avoir lu l'aide, on peut convertir le fichier PDF en texte à l'aide de la commande suivante."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "!pdftotext.exe trombinoscope_alpha.pdf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lisons maintenant le fichier texte créé pour en extraire les noms des députés et les dates de naissance.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Extraction du texte "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Travail sur fragment "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Après avoir regardé le contenu du fichier texte au bloc note, je me suis rendu compte que les noms et dates de naissance sont dans le désordre. Pas de problème, on va lire ça avec des expressions régulières et on va voir si on arrive à trouver ce qu'on cherche ! On va travailler sur la première page dans un premier temps (on commence petit avant d'étendre la méthode au document entier) :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "first_page = \"\"\"Ain - Circonscription n° 5\n",
    "M. Damien Abad\n",
    "\n",
    "Val-de-Marne - Circonscription n° 6\n",
    "Mme Laurence Abeille\n",
    "\n",
    "Les Républicains Né le 5 avril 1980 à Nîmes (Gard) Secrétaire d'âge de l'Assemblée nationale\n",
    "Président du conseil départemental (Ain) Élu à l'Assemblée nationale le 20 juin 2012\n",
    "Mayotte - Circonscription n° 2\n",
    "M. Ibrahim Aboubacar\n",
    "\n",
    "Écologiste Née le 17 juin 1960 à Neuilly-sur-Seine (Hauts-de-Seine)\n",
    "Cadre du secteur privé Élue à l'Assemblée nationale le 20 juin 2012\n",
    "Hérault - Circonscription n° 6\n",
    "M. Élie Aboud\n",
    "\n",
    "Socialiste, républicain et citoyen Né le 1erfévrier 1965 à Fomboni (Comores)\n",
    "Ingénieur des travaux publics Élu à l'Assemblée nationale le 20 juin 2012\n",
    "Haute-Savoie - Circonscription n° 1\n",
    "M. Bernard Accoyer\n",
    "\n",
    "Les Républicains Né le 12 octobre 1959 à Beyrouth (Liban)\n",
    "Médecin cardiologue (Chef de service) Adjoint au Maire de Béziers Élu à l'Assemblée nationale le 20 juin 2007 Réélu le 16 décembre 2012\n",
    "Finistère - Circonscription n° 2\n",
    "Mme Patricia Adam\n",
    "\n",
    "Les Républicains Né le 12 août 1945 à Lyon (Rhône)\n",
    "\n",
    "Socialiste, républicain et citoyen Née le 15 avril 1953 à Saint-Cloud (Hauts-de-Seine)\n",
    "\n",
    "Médecin ORL\n",
    "Maire d'Annecy-le-Vieux\n",
    "Élu à l'Assemblée nationale le 28 mars 1993 Réélu les 1erjuin 1997, 16 juin 2002, 20 juin 2007 et 20 juin 2012\n",
    "\n",
    "Cadre d'action sociale Élue à l'Assemblée nationale le 16 juin 2002 Réélue les 20 juin 2007 et 20 juin 2012\n",
    "\n",
    "15\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Construisons d'abord une expression régulière pour les prénoms :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "p = re.compile(\"^(?:M\\.|Mme) ((?:[\\w\\-]+.?)+)\", re.MULTILINE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Damien Abad',\n",
       " 'Laurence Abeille',\n",
       " 'Ibrahim Aboubacar',\n",
       " 'Élie Aboud',\n",
       " 'Bernard Accoyer',\n",
       " 'Patricia Adam']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p.findall(first_page)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On peut maintenant passer aux dates de naissance :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "p2 = re.compile('Née? le (\\d+(?: |er)\\w+ \\d+)', re.MULTILINE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['5 avril 1980',\n",
       " '17 juin 1960',\n",
       " '1erfévrier 1965',\n",
       " '12 octobre 1959',\n",
       " '12 août 1945',\n",
       " '15 avril 1953']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p2.findall(first_page)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "L'expression régulière trouvée est un peu compliquée à cause de la présence de dates écrites sous la forme `1erfévrier`. On pourra aussi noter l'utilisation de groupes [non-capturants](http://stackoverflow.com/questions/3512471/what-is-a-non-capturing-group), qui permettent de matcher des parties d'expression mais de ne pas les conserver dans la sortie finale. Ceux-ci s'écrivent `(?:...)` au lieu de `(...)` pour les groupes normaux."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Extraction du texte complet  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Maintenant que la première page donne des résultats valides, passons au texte complet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "text = open('trombinoscope_alpha.txt').read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Damien Abad',\n",
       " 'Laurence Abeille',\n",
       " 'Ibrahim Aboubacar',\n",
       " 'Élie Aboud',\n",
       " 'Bernard Accoyer',\n",
       " 'Patricia Adam',\n",
       " 'Sylviane Alaux',\n",
       " 'Éric Alauzet',\n",
       " 'Yves Albarello',\n",
       " 'Brigitte Allain',\n",
       " 'Jean-Pierre Allossery',\n",
       " 'Nicole Ameline',\n",
       " 'Pouria Amirshahi',\n",
       " 'François André',\n",
       " 'Sylvie Andrieux',\n",
       " 'Benoist Apparu',\n",
       " 'Nathalie Appéré',\n",
       " 'Kader Arif',\n",
       " 'Laurence Arribagé',\n",
       " 'François Asensi',\n",
       " 'Christian Assaf',\n",
       " 'Isabelle Attard',\n",
       " 'Julien Aubert',\n",
       " 'Olivier Audibert Troin',\n",
       " 'Danielle Auroi',\n",
       " 'Pierre Aylagas',\n",
       " 'Jean-Marc Ayrault',\n",
       " 'Bruno Nestor Azerot',\n",
       " 'Alexis Bachelay',\n",
       " 'Guillaume Bachelay',\n",
       " 'Jean-Paul Bacquet',\n",
       " 'Dominique Baert',\n",
       " 'Guy Bailliart',\n",
       " 'Patrick Balkany',\n",
       " 'Gérard Bapt',\n",
       " 'Frédéric Barbier',\n",
       " 'Jean-Pierre Barbier',\n",
       " 'Serge Bardy',\n",
       " 'Ericka Bareigts',\n",
       " 'Claude Bartolone',\n",
       " 'Christian Bataille',\n",
       " 'Delphine Batho',\n",
       " 'Marie-Noëlle Battistel',\n",
       " 'Laurent Baumel',\n",
       " 'Philippe Baumel',\n",
       " 'Denis Baupin',\n",
       " 'Nicolas Bays',\n",
       " 'Catherine Beaubatie',\n",
       " 'Marie-Françoise Bechtel',\n",
       " 'Jean-Marie Beffara']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "names = p.findall(text)\n",
    "names[:50]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On voit que l'expression régulière fonctionne plutôt bien. Comptons le nombre de députés identifiés."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "577"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(names)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On a le compte pour les noms ! Passons aux dates de naissance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['5 avril 1980',\n",
       " '17 juin 1960',\n",
       " '1erfévrier 1965',\n",
       " '12 octobre 1959',\n",
       " '12 août 1945',\n",
       " '15 avril 1953',\n",
       " '1erjuillet 1945',\n",
       " '7 juin 1958',\n",
       " '17 mars 1952',\n",
       " '23 avril 1956',\n",
       " '31 juillet 1945',\n",
       " '4 juillet 1952',\n",
       " '27 mars 1972',\n",
       " '19 juillet 1967',\n",
       " '15 décembre 1961',\n",
       " '24 novembre 1969',\n",
       " '8 juillet 1975',\n",
       " '3 juillet 1959',\n",
       " '25 mai 1970',\n",
       " '1erjuin 1945',\n",
       " '1erseptembre 1972',\n",
       " '14 novembre 1969',\n",
       " '11 juin 1978',\n",
       " '16 août 1960',\n",
       " '29 février 1944',\n",
       " '24 juillet 1942',\n",
       " '25 janvier 1950',\n",
       " '22 juillet 1961',\n",
       " '19 août 1973',\n",
       " '13 juillet 1974',\n",
       " '11 mars 1949',\n",
       " '24 octobre 1959',\n",
       " '24 septembre 1946',\n",
       " '16 août 1948',\n",
       " '4 février 1946',\n",
       " '30 août 1960',\n",
       " '11 novembre 1960',\n",
       " '6 novembre 1947',\n",
       " '16 avril 1967',\n",
       " '29 juillet 1951',\n",
       " '13 mai 1946',\n",
       " '23 mars 1973',\n",
       " '20 août 1956',\n",
       " '13 août 1965',\n",
       " '14 novembre 1961',\n",
       " '2 juin 1962',\n",
       " '1ermai 1977',\n",
       " '10 février 1964',\n",
       " '19 mars 1946',\n",
       " '13 octobre 1962']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "birthdates = p2.findall(text)\n",
    "birthdates[:50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "577"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(birthdates)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On a aussi le compte pour les dates de naissance ! On peut mettre tout ça dans une dataframe Pandas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analyse des données à l'aide de Pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Avant de pouvoir utiliser pandas pour faire des calculs de type Excel, il nous faut encore convertir les dates de naissance, qui sont du texte, vers des objets de type date. \n",
    "\n",
    "On va utiliser [`pd.Timestamp`](http://pandas.pydata.org/pandas-docs/stable/10min.html?highlight=timestamp) pour stocker les dates au bon format. On peut donner à l'objet Timestamp des chaînes de caractère en entrée, chose que nous allons faire."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2012-05-01 00:00:00')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Timestamp('2012/5/1')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous pouvons écire la fonction ci-dessous :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def convert2date(date_str):\n",
    "    d = {'janvier': 1, 'février': 2, 'mars': 3, 'avril': 4,\n",
    "         'mai': 5, 'juin': 6, 'juillet': 7, 'août': 8, \n",
    "         'septembre': 9, 'octobre': 10, 'novembre': 11, 'décembre':12}\n",
    "    splits = date_str.split(' ')\n",
    "    if len(splits) != 3:\n",
    "        start = splits.pop(0)\n",
    "        if start.startswith('1er'):\n",
    "            splits.insert(0, start[3:])\n",
    "            splits.insert(0, '1')\n",
    "    \n",
    "    \n",
    "    return pd.Timestamp(splits[2] + '/' + str(d[splits[1]]) + '/' + splits[0])\n",
    "        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Testons notre fonction sur notre collection de dates de naissance. Nous sélectionnons ici seulement les dates qui commencent par le 3 du mois."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['3 juillet 1959',\n",
       " '3 septembre 1963',\n",
       " '3 janvier 1966',\n",
       " '3 janvier 1973',\n",
       " '3 février 1948',\n",
       " '3 janvier 1940',\n",
       " '3 mars 1951',\n",
       " '3 août 1941',\n",
       " '3 janvier 1958',\n",
       " '3 février 1967',\n",
       " '3 août 1956',\n",
       " '3 décembre 1950',\n",
       " '3 août 1953',\n",
       " '3 mars 1940',\n",
       " '3 mai 1955',\n",
       " '3 mars 1949',\n",
       " '3 mai 1951',\n",
       " '3 août 1945',\n",
       " '3 août 1951',\n",
       " '3 janvier 1974',\n",
       " '3 janvier 1948',\n",
       " '3 janvier 1947',\n",
       " '3 février 1958']"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[b for b in birthdates if b.startswith('3 ')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous vérifions ci-dessous que les résultats sont pertinents :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Timestamp('1959-07-03 00:00:00'),\n",
       " Timestamp('1963-09-03 00:00:00'),\n",
       " Timestamp('1966-01-03 00:00:00'),\n",
       " Timestamp('1973-01-03 00:00:00'),\n",
       " Timestamp('1948-02-03 00:00:00'),\n",
       " Timestamp('1940-01-03 00:00:00'),\n",
       " Timestamp('1951-03-03 00:00:00'),\n",
       " Timestamp('1941-08-03 00:00:00'),\n",
       " Timestamp('1958-01-03 00:00:00'),\n",
       " Timestamp('1967-02-03 00:00:00'),\n",
       " Timestamp('1956-08-03 00:00:00'),\n",
       " Timestamp('1950-12-03 00:00:00'),\n",
       " Timestamp('1953-08-03 00:00:00'),\n",
       " Timestamp('1940-03-03 00:00:00'),\n",
       " Timestamp('1955-05-03 00:00:00'),\n",
       " Timestamp('1949-03-03 00:00:00'),\n",
       " Timestamp('1951-05-03 00:00:00'),\n",
       " Timestamp('1945-08-03 00:00:00'),\n",
       " Timestamp('1951-08-03 00:00:00'),\n",
       " Timestamp('1974-01-03 00:00:00'),\n",
       " Timestamp('1948-01-03 00:00:00'),\n",
       " Timestamp('1947-01-03 00:00:00'),\n",
       " Timestamp('1958-02-03 00:00:00')]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[convert2date(b) for b in birthdates if b.startswith('3 ')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous pouvons maintenant fabriquer notre DataFrame avec l'ensemble des données :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Noms</th>\n",
       "      <th>Dates de naissance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Damien Abad</td>\n",
       "      <td>1980-04-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Laurence Abeille</td>\n",
       "      <td>1960-06-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ibrahim Aboubacar</td>\n",
       "      <td>1965-02-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Élie Aboud</td>\n",
       "      <td>1959-10-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bernard Accoyer</td>\n",
       "      <td>1945-08-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Patricia Adam</td>\n",
       "      <td>1953-04-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Sylviane Alaux</td>\n",
       "      <td>1945-07-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Éric Alauzet</td>\n",
       "      <td>1958-06-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Yves Albarello</td>\n",
       "      <td>1952-03-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Brigitte Allain</td>\n",
       "      <td>1956-04-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Jean-Pierre Allossery</td>\n",
       "      <td>1945-07-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Nicole Ameline</td>\n",
       "      <td>1952-07-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Pouria Amirshahi</td>\n",
       "      <td>1972-03-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>François André</td>\n",
       "      <td>1967-07-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Sylvie Andrieux</td>\n",
       "      <td>1961-12-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Benoist Apparu</td>\n",
       "      <td>1969-11-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Nathalie Appéré</td>\n",
       "      <td>1975-07-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Kader Arif</td>\n",
       "      <td>1959-07-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Laurence Arribagé</td>\n",
       "      <td>1970-05-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>François Asensi</td>\n",
       "      <td>1945-06-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Christian Assaf</td>\n",
       "      <td>1972-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Isabelle Attard</td>\n",
       "      <td>1969-11-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Julien Aubert</td>\n",
       "      <td>1978-06-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Olivier Audibert Troin</td>\n",
       "      <td>1960-08-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Danielle Auroi</td>\n",
       "      <td>1944-02-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Pierre Aylagas</td>\n",
       "      <td>1942-07-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Jean-Marc Ayrault</td>\n",
       "      <td>1950-01-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Bruno Nestor Azerot</td>\n",
       "      <td>1961-07-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Alexis Bachelay</td>\n",
       "      <td>1973-08-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Guillaume Bachelay</td>\n",
       "      <td>1974-07-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>Stéphane Travert</td>\n",
       "      <td>1969-10-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>548</th>\n",
       "      <td>Catherine Troallic</td>\n",
       "      <td>1974-05-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>549</th>\n",
       "      <td>Jean-Paul Tuaiva</td>\n",
       "      <td>1972-10-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>Cécile Untermaier</td>\n",
       "      <td>1951-12-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>551</th>\n",
       "      <td>Jean-Jacques Urvoas</td>\n",
       "      <td>1959-09-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>552</th>\n",
       "      <td>Daniel Vaillant</td>\n",
       "      <td>1949-07-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>553</th>\n",
       "      <td>Jacques Valax</td>\n",
       "      <td>1951-08-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>554</th>\n",
       "      <td>François Vannson</td>\n",
       "      <td>1962-10-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>555</th>\n",
       "      <td>Catherine Vautrin</td>\n",
       "      <td>1960-07-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556</th>\n",
       "      <td>Michel Vauzelle</td>\n",
       "      <td>1944-08-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>557</th>\n",
       "      <td>Francis Vercamer</td>\n",
       "      <td>1958-05-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</th>\n",
       "      <td>Patrice Verchère</td>\n",
       "      <td>1973-12-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>559</th>\n",
       "      <td>Fabrice Verdier</td>\n",
       "      <td>1968-12-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>Michel Vergnier</td>\n",
       "      <td>1946-11-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>Arnaud Viala</td>\n",
       "      <td>1974-12-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>Jean-Sébastien Vialatte</td>\n",
       "      <td>1951-01-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>Jean-Pierre Vigier</td>\n",
       "      <td>1969-10-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>Philippe Vigier</td>\n",
       "      <td>1958-02-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>Patrick Vignal</td>\n",
       "      <td>1958-01-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>François-Xavier Villain</td>\n",
       "      <td>1950-05-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>Jean-Michel Villaumé</td>\n",
       "      <td>1946-03-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>Philippe Vitel</td>\n",
       "      <td>1955-02-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>Jean Jacques Vlody</td>\n",
       "      <td>1967-08-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>570</th>\n",
       "      <td>Michel Voisin</td>\n",
       "      <td>1944-10-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571</th>\n",
       "      <td>Jean-Luc Warsmann</td>\n",
       "      <td>1965-10-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>572</th>\n",
       "      <td>Laurent Wauquiez</td>\n",
       "      <td>1975-04-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573</th>\n",
       "      <td>Éric Woerth</td>\n",
       "      <td>1956-01-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>Paola Zanetti</td>\n",
       "      <td>1976-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>575</th>\n",
       "      <td>Marie-Jo Zimmermann</td>\n",
       "      <td>1951-04-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>576</th>\n",
       "      <td>Michel Zumkeller</td>\n",
       "      <td>1966-01-21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>577 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Noms Dates de naissance\n",
       "0                Damien Abad         1980-04-05\n",
       "1           Laurence Abeille         1960-06-17\n",
       "2          Ibrahim Aboubacar         1965-02-01\n",
       "3                 Élie Aboud         1959-10-12\n",
       "4            Bernard Accoyer         1945-08-12\n",
       "5              Patricia Adam         1953-04-15\n",
       "6             Sylviane Alaux         1945-07-01\n",
       "7               Éric Alauzet         1958-06-07\n",
       "8             Yves Albarello         1952-03-17\n",
       "9            Brigitte Allain         1956-04-23\n",
       "10     Jean-Pierre Allossery         1945-07-31\n",
       "11            Nicole Ameline         1952-07-04\n",
       "12          Pouria Amirshahi         1972-03-27\n",
       "13            François André         1967-07-19\n",
       "14           Sylvie Andrieux         1961-12-15\n",
       "15            Benoist Apparu         1969-11-24\n",
       "16           Nathalie Appéré         1975-07-08\n",
       "17                Kader Arif         1959-07-03\n",
       "18         Laurence Arribagé         1970-05-25\n",
       "19           François Asensi         1945-06-01\n",
       "20           Christian Assaf         1972-09-01\n",
       "21           Isabelle Attard         1969-11-14\n",
       "22             Julien Aubert         1978-06-11\n",
       "23    Olivier Audibert Troin         1960-08-16\n",
       "24            Danielle Auroi         1944-02-29\n",
       "25            Pierre Aylagas         1942-07-24\n",
       "26         Jean-Marc Ayrault         1950-01-25\n",
       "27       Bruno Nestor Azerot         1961-07-22\n",
       "28           Alexis Bachelay         1973-08-19\n",
       "29        Guillaume Bachelay         1974-07-13\n",
       "..                       ...                ...\n",
       "547         Stéphane Travert         1969-10-12\n",
       "548       Catherine Troallic         1974-05-10\n",
       "549         Jean-Paul Tuaiva         1972-10-30\n",
       "550        Cécile Untermaier         1951-12-28\n",
       "551      Jean-Jacques Urvoas         1959-09-19\n",
       "552          Daniel Vaillant         1949-07-19\n",
       "553            Jacques Valax         1951-08-23\n",
       "554         François Vannson         1962-10-20\n",
       "555        Catherine Vautrin         1960-07-26\n",
       "556          Michel Vauzelle         1944-08-15\n",
       "557         Francis Vercamer         1958-05-10\n",
       "558         Patrice Verchère         1973-12-29\n",
       "559          Fabrice Verdier         1968-12-16\n",
       "560          Michel Vergnier         1946-11-25\n",
       "561             Arnaud Viala         1974-12-04\n",
       "562  Jean-Sébastien Vialatte         1951-01-30\n",
       "563       Jean-Pierre Vigier         1969-10-22\n",
       "564          Philippe Vigier         1958-02-03\n",
       "565           Patrick Vignal         1958-01-22\n",
       "566  François-Xavier Villain         1950-05-31\n",
       "567     Jean-Michel Villaumé         1946-03-27\n",
       "568           Philippe Vitel         1955-02-22\n",
       "569       Jean Jacques Vlody         1967-08-19\n",
       "570            Michel Voisin         1944-10-06\n",
       "571        Jean-Luc Warsmann         1965-10-22\n",
       "572         Laurent Wauquiez         1975-04-12\n",
       "573              Éric Woerth         1956-01-29\n",
       "574            Paola Zanetti         1976-09-01\n",
       "575      Marie-Jo Zimmermann         1951-04-29\n",
       "576         Michel Zumkeller         1966-01-21\n",
       "\n",
       "[577 rows x 2 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(data=list(zip([n for n in names], \n",
    "                           [convert2date(b) for b in birthdates])), \n",
    "             columns=('Noms', 'Dates de naissance'))\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Armé de cette dataframe, nous pouvons calculer l'âge des différents députés assez facilement :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.date(2016, 1, 8)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datetime.date.today()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df['Âge'] = pd.Timestamp(datetime.date.today()) - df['Dates de naissance'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Noms</th>\n",
       "      <th>Dates de naissance</th>\n",
       "      <th>Âge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Damien Abad</td>\n",
       "      <td>1980-04-05</td>\n",
       "      <td>13061 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Laurence Abeille</td>\n",
       "      <td>1960-06-17</td>\n",
       "      <td>20293 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ibrahim Aboubacar</td>\n",
       "      <td>1965-02-01</td>\n",
       "      <td>18603 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Élie Aboud</td>\n",
       "      <td>1959-10-12</td>\n",
       "      <td>20542 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bernard Accoyer</td>\n",
       "      <td>1945-08-12</td>\n",
       "      <td>25716 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Patricia Adam</td>\n",
       "      <td>1953-04-15</td>\n",
       "      <td>22913 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Sylviane Alaux</td>\n",
       "      <td>1945-07-01</td>\n",
       "      <td>25758 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Éric Alauzet</td>\n",
       "      <td>1958-06-07</td>\n",
       "      <td>21034 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Yves Albarello</td>\n",
       "      <td>1952-03-17</td>\n",
       "      <td>23307 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Brigitte Allain</td>\n",
       "      <td>1956-04-23</td>\n",
       "      <td>21809 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Jean-Pierre Allossery</td>\n",
       "      <td>1945-07-31</td>\n",
       "      <td>25728 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Nicole Ameline</td>\n",
       "      <td>1952-07-04</td>\n",
       "      <td>23198 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Pouria Amirshahi</td>\n",
       "      <td>1972-03-27</td>\n",
       "      <td>15992 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>François André</td>\n",
       "      <td>1967-07-19</td>\n",
       "      <td>17705 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Sylvie Andrieux</td>\n",
       "      <td>1961-12-15</td>\n",
       "      <td>19747 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Benoist Apparu</td>\n",
       "      <td>1969-11-24</td>\n",
       "      <td>16846 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Nathalie Appéré</td>\n",
       "      <td>1975-07-08</td>\n",
       "      <td>14794 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Kader Arif</td>\n",
       "      <td>1959-07-03</td>\n",
       "      <td>20643 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Laurence Arribagé</td>\n",
       "      <td>1970-05-25</td>\n",
       "      <td>16664 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>François Asensi</td>\n",
       "      <td>1945-06-01</td>\n",
       "      <td>25788 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Christian Assaf</td>\n",
       "      <td>1972-09-01</td>\n",
       "      <td>15834 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Isabelle Attard</td>\n",
       "      <td>1969-11-14</td>\n",
       "      <td>16856 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Julien Aubert</td>\n",
       "      <td>1978-06-11</td>\n",
       "      <td>13725 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Olivier Audibert Troin</td>\n",
       "      <td>1960-08-16</td>\n",
       "      <td>20233 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Danielle Auroi</td>\n",
       "      <td>1944-02-29</td>\n",
       "      <td>26246 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Pierre Aylagas</td>\n",
       "      <td>1942-07-24</td>\n",
       "      <td>26831 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Jean-Marc Ayrault</td>\n",
       "      <td>1950-01-25</td>\n",
       "      <td>24089 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Bruno Nestor Azerot</td>\n",
       "      <td>1961-07-22</td>\n",
       "      <td>19893 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Alexis Bachelay</td>\n",
       "      <td>1973-08-19</td>\n",
       "      <td>15482 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Guillaume Bachelay</td>\n",
       "      <td>1974-07-13</td>\n",
       "      <td>15154 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>Stéphane Travert</td>\n",
       "      <td>1969-10-12</td>\n",
       "      <td>16889 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>548</th>\n",
       "      <td>Catherine Troallic</td>\n",
       "      <td>1974-05-10</td>\n",
       "      <td>15218 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>549</th>\n",
       "      <td>Jean-Paul Tuaiva</td>\n",
       "      <td>1972-10-30</td>\n",
       "      <td>15775 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>Cécile Untermaier</td>\n",
       "      <td>1951-12-28</td>\n",
       "      <td>23387 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>551</th>\n",
       "      <td>Jean-Jacques Urvoas</td>\n",
       "      <td>1959-09-19</td>\n",
       "      <td>20565 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>552</th>\n",
       "      <td>Daniel Vaillant</td>\n",
       "      <td>1949-07-19</td>\n",
       "      <td>24279 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>553</th>\n",
       "      <td>Jacques Valax</td>\n",
       "      <td>1951-08-23</td>\n",
       "      <td>23514 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>554</th>\n",
       "      <td>François Vannson</td>\n",
       "      <td>1962-10-20</td>\n",
       "      <td>19438 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>555</th>\n",
       "      <td>Catherine Vautrin</td>\n",
       "      <td>1960-07-26</td>\n",
       "      <td>20254 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556</th>\n",
       "      <td>Michel Vauzelle</td>\n",
       "      <td>1944-08-15</td>\n",
       "      <td>26078 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>557</th>\n",
       "      <td>Francis Vercamer</td>\n",
       "      <td>1958-05-10</td>\n",
       "      <td>21062 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</th>\n",
       "      <td>Patrice Verchère</td>\n",
       "      <td>1973-12-29</td>\n",
       "      <td>15350 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>559</th>\n",
       "      <td>Fabrice Verdier</td>\n",
       "      <td>1968-12-16</td>\n",
       "      <td>17189 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>Michel Vergnier</td>\n",
       "      <td>1946-11-25</td>\n",
       "      <td>25246 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>Arnaud Viala</td>\n",
       "      <td>1974-12-04</td>\n",
       "      <td>15010 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>Jean-Sébastien Vialatte</td>\n",
       "      <td>1951-01-30</td>\n",
       "      <td>23719 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>Jean-Pierre Vigier</td>\n",
       "      <td>1969-10-22</td>\n",
       "      <td>16879 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>Philippe Vigier</td>\n",
       "      <td>1958-02-03</td>\n",
       "      <td>21158 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>Patrick Vignal</td>\n",
       "      <td>1958-01-22</td>\n",
       "      <td>21170 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>François-Xavier Villain</td>\n",
       "      <td>1950-05-31</td>\n",
       "      <td>23963 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>Jean-Michel Villaumé</td>\n",
       "      <td>1946-03-27</td>\n",
       "      <td>25489 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>Philippe Vitel</td>\n",
       "      <td>1955-02-22</td>\n",
       "      <td>22235 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>Jean Jacques Vlody</td>\n",
       "      <td>1967-08-19</td>\n",
       "      <td>17674 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>570</th>\n",
       "      <td>Michel Voisin</td>\n",
       "      <td>1944-10-06</td>\n",
       "      <td>26026 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571</th>\n",
       "      <td>Jean-Luc Warsmann</td>\n",
       "      <td>1965-10-22</td>\n",
       "      <td>18340 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>572</th>\n",
       "      <td>Laurent Wauquiez</td>\n",
       "      <td>1975-04-12</td>\n",
       "      <td>14881 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573</th>\n",
       "      <td>Éric Woerth</td>\n",
       "      <td>1956-01-29</td>\n",
       "      <td>21894 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>Paola Zanetti</td>\n",
       "      <td>1976-09-01</td>\n",
       "      <td>14373 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>575</th>\n",
       "      <td>Marie-Jo Zimmermann</td>\n",
       "      <td>1951-04-29</td>\n",
       "      <td>23630 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>576</th>\n",
       "      <td>Michel Zumkeller</td>\n",
       "      <td>1966-01-21</td>\n",
       "      <td>18249 days</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>577 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Noms Dates de naissance        Âge\n",
       "0                Damien Abad         1980-04-05 13061 days\n",
       "1           Laurence Abeille         1960-06-17 20293 days\n",
       "2          Ibrahim Aboubacar         1965-02-01 18603 days\n",
       "3                 Élie Aboud         1959-10-12 20542 days\n",
       "4            Bernard Accoyer         1945-08-12 25716 days\n",
       "5              Patricia Adam         1953-04-15 22913 days\n",
       "6             Sylviane Alaux         1945-07-01 25758 days\n",
       "7               Éric Alauzet         1958-06-07 21034 days\n",
       "8             Yves Albarello         1952-03-17 23307 days\n",
       "9            Brigitte Allain         1956-04-23 21809 days\n",
       "10     Jean-Pierre Allossery         1945-07-31 25728 days\n",
       "11            Nicole Ameline         1952-07-04 23198 days\n",
       "12          Pouria Amirshahi         1972-03-27 15992 days\n",
       "13            François André         1967-07-19 17705 days\n",
       "14           Sylvie Andrieux         1961-12-15 19747 days\n",
       "15            Benoist Apparu         1969-11-24 16846 days\n",
       "16           Nathalie Appéré         1975-07-08 14794 days\n",
       "17                Kader Arif         1959-07-03 20643 days\n",
       "18         Laurence Arribagé         1970-05-25 16664 days\n",
       "19           François Asensi         1945-06-01 25788 days\n",
       "20           Christian Assaf         1972-09-01 15834 days\n",
       "21           Isabelle Attard         1969-11-14 16856 days\n",
       "22             Julien Aubert         1978-06-11 13725 days\n",
       "23    Olivier Audibert Troin         1960-08-16 20233 days\n",
       "24            Danielle Auroi         1944-02-29 26246 days\n",
       "25            Pierre Aylagas         1942-07-24 26831 days\n",
       "26         Jean-Marc Ayrault         1950-01-25 24089 days\n",
       "27       Bruno Nestor Azerot         1961-07-22 19893 days\n",
       "28           Alexis Bachelay         1973-08-19 15482 days\n",
       "29        Guillaume Bachelay         1974-07-13 15154 days\n",
       "..                       ...                ...        ...\n",
       "547         Stéphane Travert         1969-10-12 16889 days\n",
       "548       Catherine Troallic         1974-05-10 15218 days\n",
       "549         Jean-Paul Tuaiva         1972-10-30 15775 days\n",
       "550        Cécile Untermaier         1951-12-28 23387 days\n",
       "551      Jean-Jacques Urvoas         1959-09-19 20565 days\n",
       "552          Daniel Vaillant         1949-07-19 24279 days\n",
       "553            Jacques Valax         1951-08-23 23514 days\n",
       "554         François Vannson         1962-10-20 19438 days\n",
       "555        Catherine Vautrin         1960-07-26 20254 days\n",
       "556          Michel Vauzelle         1944-08-15 26078 days\n",
       "557         Francis Vercamer         1958-05-10 21062 days\n",
       "558         Patrice Verchère         1973-12-29 15350 days\n",
       "559          Fabrice Verdier         1968-12-16 17189 days\n",
       "560          Michel Vergnier         1946-11-25 25246 days\n",
       "561             Arnaud Viala         1974-12-04 15010 days\n",
       "562  Jean-Sébastien Vialatte         1951-01-30 23719 days\n",
       "563       Jean-Pierre Vigier         1969-10-22 16879 days\n",
       "564          Philippe Vigier         1958-02-03 21158 days\n",
       "565           Patrick Vignal         1958-01-22 21170 days\n",
       "566  François-Xavier Villain         1950-05-31 23963 days\n",
       "567     Jean-Michel Villaumé         1946-03-27 25489 days\n",
       "568           Philippe Vitel         1955-02-22 22235 days\n",
       "569       Jean Jacques Vlody         1967-08-19 17674 days\n",
       "570            Michel Voisin         1944-10-06 26026 days\n",
       "571        Jean-Luc Warsmann         1965-10-22 18340 days\n",
       "572         Laurent Wauquiez         1975-04-12 14881 days\n",
       "573              Éric Woerth         1956-01-29 21894 days\n",
       "574            Paola Zanetti         1976-09-01 14373 days\n",
       "575      Marie-Jo Zimmermann         1951-04-29 23630 days\n",
       "576         Michel Zumkeller         1966-01-21 18249 days\n",
       "\n",
       "[577 rows x 3 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Le problème, c'est que l'âge est en jours, on va donc [le convertir en années](http://stackoverflow.com/questions/16103238/pandas-timedelta-in-days) : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df['Âge (années)'] = [x.days / 365 for x in df['Âge']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Noms</th>\n",
       "      <th>Dates de naissance</th>\n",
       "      <th>Âge</th>\n",
       "      <th>Âge (années)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Damien Abad</td>\n",
       "      <td>1980-04-05</td>\n",
       "      <td>13061 days</td>\n",
       "      <td>35.783562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Laurence Abeille</td>\n",
       "      <td>1960-06-17</td>\n",
       "      <td>20293 days</td>\n",
       "      <td>55.597260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ibrahim Aboubacar</td>\n",
       "      <td>1965-02-01</td>\n",
       "      <td>18603 days</td>\n",
       "      <td>50.967123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Élie Aboud</td>\n",
       "      <td>1959-10-12</td>\n",
       "      <td>20542 days</td>\n",
       "      <td>56.279452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bernard Accoyer</td>\n",
       "      <td>1945-08-12</td>\n",
       "      <td>25716 days</td>\n",
       "      <td>70.454795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Patricia Adam</td>\n",
       "      <td>1953-04-15</td>\n",
       "      <td>22913 days</td>\n",
       "      <td>62.775342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Sylviane Alaux</td>\n",
       "      <td>1945-07-01</td>\n",
       "      <td>25758 days</td>\n",
       "      <td>70.569863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Éric Alauzet</td>\n",
       "      <td>1958-06-07</td>\n",
       "      <td>21034 days</td>\n",
       "      <td>57.627397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Yves Albarello</td>\n",
       "      <td>1952-03-17</td>\n",
       "      <td>23307 days</td>\n",
       "      <td>63.854795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Brigitte Allain</td>\n",
       "      <td>1956-04-23</td>\n",
       "      <td>21809 days</td>\n",
       "      <td>59.750685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Jean-Pierre Allossery</td>\n",
       "      <td>1945-07-31</td>\n",
       "      <td>25728 days</td>\n",
       "      <td>70.487671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Nicole Ameline</td>\n",
       "      <td>1952-07-04</td>\n",
       "      <td>23198 days</td>\n",
       "      <td>63.556164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Pouria Amirshahi</td>\n",
       "      <td>1972-03-27</td>\n",
       "      <td>15992 days</td>\n",
       "      <td>43.813699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>François André</td>\n",
       "      <td>1967-07-19</td>\n",
       "      <td>17705 days</td>\n",
       "      <td>48.506849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Sylvie Andrieux</td>\n",
       "      <td>1961-12-15</td>\n",
       "      <td>19747 days</td>\n",
       "      <td>54.101370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Benoist Apparu</td>\n",
       "      <td>1969-11-24</td>\n",
       "      <td>16846 days</td>\n",
       "      <td>46.153425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Nathalie Appéré</td>\n",
       "      <td>1975-07-08</td>\n",
       "      <td>14794 days</td>\n",
       "      <td>40.531507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Kader Arif</td>\n",
       "      <td>1959-07-03</td>\n",
       "      <td>20643 days</td>\n",
       "      <td>56.556164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Laurence Arribagé</td>\n",
       "      <td>1970-05-25</td>\n",
       "      <td>16664 days</td>\n",
       "      <td>45.654795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>François Asensi</td>\n",
       "      <td>1945-06-01</td>\n",
       "      <td>25788 days</td>\n",
       "      <td>70.652055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Christian Assaf</td>\n",
       "      <td>1972-09-01</td>\n",
       "      <td>15834 days</td>\n",
       "      <td>43.380822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Isabelle Attard</td>\n",
       "      <td>1969-11-14</td>\n",
       "      <td>16856 days</td>\n",
       "      <td>46.180822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Julien Aubert</td>\n",
       "      <td>1978-06-11</td>\n",
       "      <td>13725 days</td>\n",
       "      <td>37.602740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Olivier Audibert Troin</td>\n",
       "      <td>1960-08-16</td>\n",
       "      <td>20233 days</td>\n",
       "      <td>55.432877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Danielle Auroi</td>\n",
       "      <td>1944-02-29</td>\n",
       "      <td>26246 days</td>\n",
       "      <td>71.906849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Pierre Aylagas</td>\n",
       "      <td>1942-07-24</td>\n",
       "      <td>26831 days</td>\n",
       "      <td>73.509589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Jean-Marc Ayrault</td>\n",
       "      <td>1950-01-25</td>\n",
       "      <td>24089 days</td>\n",
       "      <td>65.997260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Bruno Nestor Azerot</td>\n",
       "      <td>1961-07-22</td>\n",
       "      <td>19893 days</td>\n",
       "      <td>54.501370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Alexis Bachelay</td>\n",
       "      <td>1973-08-19</td>\n",
       "      <td>15482 days</td>\n",
       "      <td>42.416438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Guillaume Bachelay</td>\n",
       "      <td>1974-07-13</td>\n",
       "      <td>15154 days</td>\n",
       "      <td>41.517808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>Stéphane Travert</td>\n",
       "      <td>1969-10-12</td>\n",
       "      <td>16889 days</td>\n",
       "      <td>46.271233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>548</th>\n",
       "      <td>Catherine Troallic</td>\n",
       "      <td>1974-05-10</td>\n",
       "      <td>15218 days</td>\n",
       "      <td>41.693151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>549</th>\n",
       "      <td>Jean-Paul Tuaiva</td>\n",
       "      <td>1972-10-30</td>\n",
       "      <td>15775 days</td>\n",
       "      <td>43.219178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>Cécile Untermaier</td>\n",
       "      <td>1951-12-28</td>\n",
       "      <td>23387 days</td>\n",
       "      <td>64.073973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>551</th>\n",
       "      <td>Jean-Jacques Urvoas</td>\n",
       "      <td>1959-09-19</td>\n",
       "      <td>20565 days</td>\n",
       "      <td>56.342466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>552</th>\n",
       "      <td>Daniel Vaillant</td>\n",
       "      <td>1949-07-19</td>\n",
       "      <td>24279 days</td>\n",
       "      <td>66.517808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>553</th>\n",
       "      <td>Jacques Valax</td>\n",
       "      <td>1951-08-23</td>\n",
       "      <td>23514 days</td>\n",
       "      <td>64.421918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>554</th>\n",
       "      <td>François Vannson</td>\n",
       "      <td>1962-10-20</td>\n",
       "      <td>19438 days</td>\n",
       "      <td>53.254795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>555</th>\n",
       "      <td>Catherine Vautrin</td>\n",
       "      <td>1960-07-26</td>\n",
       "      <td>20254 days</td>\n",
       "      <td>55.490411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556</th>\n",
       "      <td>Michel Vauzelle</td>\n",
       "      <td>1944-08-15</td>\n",
       "      <td>26078 days</td>\n",
       "      <td>71.446575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>557</th>\n",
       "      <td>Francis Vercamer</td>\n",
       "      <td>1958-05-10</td>\n",
       "      <td>21062 days</td>\n",
       "      <td>57.704110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</th>\n",
       "      <td>Patrice Verchère</td>\n",
       "      <td>1973-12-29</td>\n",
       "      <td>15350 days</td>\n",
       "      <td>42.054795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>559</th>\n",
       "      <td>Fabrice Verdier</td>\n",
       "      <td>1968-12-16</td>\n",
       "      <td>17189 days</td>\n",
       "      <td>47.093151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>Michel Vergnier</td>\n",
       "      <td>1946-11-25</td>\n",
       "      <td>25246 days</td>\n",
       "      <td>69.167123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>Arnaud Viala</td>\n",
       "      <td>1974-12-04</td>\n",
       "      <td>15010 days</td>\n",
       "      <td>41.123288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>Jean-Sébastien Vialatte</td>\n",
       "      <td>1951-01-30</td>\n",
       "      <td>23719 days</td>\n",
       "      <td>64.983562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>Jean-Pierre Vigier</td>\n",
       "      <td>1969-10-22</td>\n",
       "      <td>16879 days</td>\n",
       "      <td>46.243836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>Philippe Vigier</td>\n",
       "      <td>1958-02-03</td>\n",
       "      <td>21158 days</td>\n",
       "      <td>57.967123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>Patrick Vignal</td>\n",
       "      <td>1958-01-22</td>\n",
       "      <td>21170 days</td>\n",
       "      <td>58.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>François-Xavier Villain</td>\n",
       "      <td>1950-05-31</td>\n",
       "      <td>23963 days</td>\n",
       "      <td>65.652055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>Jean-Michel Villaumé</td>\n",
       "      <td>1946-03-27</td>\n",
       "      <td>25489 days</td>\n",
       "      <td>69.832877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>Philippe Vitel</td>\n",
       "      <td>1955-02-22</td>\n",
       "      <td>22235 days</td>\n",
       "      <td>60.917808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>Jean Jacques Vlody</td>\n",
       "      <td>1967-08-19</td>\n",
       "      <td>17674 days</td>\n",
       "      <td>48.421918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>570</th>\n",
       "      <td>Michel Voisin</td>\n",
       "      <td>1944-10-06</td>\n",
       "      <td>26026 days</td>\n",
       "      <td>71.304110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571</th>\n",
       "      <td>Jean-Luc Warsmann</td>\n",
       "      <td>1965-10-22</td>\n",
       "      <td>18340 days</td>\n",
       "      <td>50.246575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>572</th>\n",
       "      <td>Laurent Wauquiez</td>\n",
       "      <td>1975-04-12</td>\n",
       "      <td>14881 days</td>\n",
       "      <td>40.769863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573</th>\n",
       "      <td>Éric Woerth</td>\n",
       "      <td>1956-01-29</td>\n",
       "      <td>21894 days</td>\n",
       "      <td>59.983562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>Paola Zanetti</td>\n",
       "      <td>1976-09-01</td>\n",
       "      <td>14373 days</td>\n",
       "      <td>39.378082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>575</th>\n",
       "      <td>Marie-Jo Zimmermann</td>\n",
       "      <td>1951-04-29</td>\n",
       "      <td>23630 days</td>\n",
       "      <td>64.739726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>576</th>\n",
       "      <td>Michel Zumkeller</td>\n",
       "      <td>1966-01-21</td>\n",
       "      <td>18249 days</td>\n",
       "      <td>49.997260</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>577 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Noms Dates de naissance        Âge  Âge (années)\n",
       "0                Damien Abad         1980-04-05 13061 days     35.783562\n",
       "1           Laurence Abeille         1960-06-17 20293 days     55.597260\n",
       "2          Ibrahim Aboubacar         1965-02-01 18603 days     50.967123\n",
       "3                 Élie Aboud         1959-10-12 20542 days     56.279452\n",
       "4            Bernard Accoyer         1945-08-12 25716 days     70.454795\n",
       "5              Patricia Adam         1953-04-15 22913 days     62.775342\n",
       "6             Sylviane Alaux         1945-07-01 25758 days     70.569863\n",
       "7               Éric Alauzet         1958-06-07 21034 days     57.627397\n",
       "8             Yves Albarello         1952-03-17 23307 days     63.854795\n",
       "9            Brigitte Allain         1956-04-23 21809 days     59.750685\n",
       "10     Jean-Pierre Allossery         1945-07-31 25728 days     70.487671\n",
       "11            Nicole Ameline         1952-07-04 23198 days     63.556164\n",
       "12          Pouria Amirshahi         1972-03-27 15992 days     43.813699\n",
       "13            François André         1967-07-19 17705 days     48.506849\n",
       "14           Sylvie Andrieux         1961-12-15 19747 days     54.101370\n",
       "15            Benoist Apparu         1969-11-24 16846 days     46.153425\n",
       "16           Nathalie Appéré         1975-07-08 14794 days     40.531507\n",
       "17                Kader Arif         1959-07-03 20643 days     56.556164\n",
       "18         Laurence Arribagé         1970-05-25 16664 days     45.654795\n",
       "19           François Asensi         1945-06-01 25788 days     70.652055\n",
       "20           Christian Assaf         1972-09-01 15834 days     43.380822\n",
       "21           Isabelle Attard         1969-11-14 16856 days     46.180822\n",
       "22             Julien Aubert         1978-06-11 13725 days     37.602740\n",
       "23    Olivier Audibert Troin         1960-08-16 20233 days     55.432877\n",
       "24            Danielle Auroi         1944-02-29 26246 days     71.906849\n",
       "25            Pierre Aylagas         1942-07-24 26831 days     73.509589\n",
       "26         Jean-Marc Ayrault         1950-01-25 24089 days     65.997260\n",
       "27       Bruno Nestor Azerot         1961-07-22 19893 days     54.501370\n",
       "28           Alexis Bachelay         1973-08-19 15482 days     42.416438\n",
       "29        Guillaume Bachelay         1974-07-13 15154 days     41.517808\n",
       "..                       ...                ...        ...           ...\n",
       "547         Stéphane Travert         1969-10-12 16889 days     46.271233\n",
       "548       Catherine Troallic         1974-05-10 15218 days     41.693151\n",
       "549         Jean-Paul Tuaiva         1972-10-30 15775 days     43.219178\n",
       "550        Cécile Untermaier         1951-12-28 23387 days     64.073973\n",
       "551      Jean-Jacques Urvoas         1959-09-19 20565 days     56.342466\n",
       "552          Daniel Vaillant         1949-07-19 24279 days     66.517808\n",
       "553            Jacques Valax         1951-08-23 23514 days     64.421918\n",
       "554         François Vannson         1962-10-20 19438 days     53.254795\n",
       "555        Catherine Vautrin         1960-07-26 20254 days     55.490411\n",
       "556          Michel Vauzelle         1944-08-15 26078 days     71.446575\n",
       "557         Francis Vercamer         1958-05-10 21062 days     57.704110\n",
       "558         Patrice Verchère         1973-12-29 15350 days     42.054795\n",
       "559          Fabrice Verdier         1968-12-16 17189 days     47.093151\n",
       "560          Michel Vergnier         1946-11-25 25246 days     69.167123\n",
       "561             Arnaud Viala         1974-12-04 15010 days     41.123288\n",
       "562  Jean-Sébastien Vialatte         1951-01-30 23719 days     64.983562\n",
       "563       Jean-Pierre Vigier         1969-10-22 16879 days     46.243836\n",
       "564          Philippe Vigier         1958-02-03 21158 days     57.967123\n",
       "565           Patrick Vignal         1958-01-22 21170 days     58.000000\n",
       "566  François-Xavier Villain         1950-05-31 23963 days     65.652055\n",
       "567     Jean-Michel Villaumé         1946-03-27 25489 days     69.832877\n",
       "568           Philippe Vitel         1955-02-22 22235 days     60.917808\n",
       "569       Jean Jacques Vlody         1967-08-19 17674 days     48.421918\n",
       "570            Michel Voisin         1944-10-06 26026 days     71.304110\n",
       "571        Jean-Luc Warsmann         1965-10-22 18340 days     50.246575\n",
       "572         Laurent Wauquiez         1975-04-12 14881 days     40.769863\n",
       "573              Éric Woerth         1956-01-29 21894 days     59.983562\n",
       "574            Paola Zanetti         1976-09-01 14373 days     39.378082\n",
       "575      Marie-Jo Zimmermann         1951-04-29 23630 days     64.739726\n",
       "576         Michel Zumkeller         1966-01-21 18249 days     49.997260\n",
       "\n",
       "[577 rows x 4 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Noms</th>\n",
       "      <th>Dates de naissance</th>\n",
       "      <th>Âge</th>\n",
       "      <th>Âge (années)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>Marion Maréchal-Le Pen</td>\n",
       "      <td>1989-12-10</td>\n",
       "      <td>9525 days</td>\n",
       "      <td>26.095890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>Marie Le Vern</td>\n",
       "      <td>1983-01-11</td>\n",
       "      <td>12050 days</td>\n",
       "      <td>33.013699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>Gérald Darmanin</td>\n",
       "      <td>1982-10-11</td>\n",
       "      <td>12142 days</td>\n",
       "      <td>33.265753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>Laurent Marcangeli</td>\n",
       "      <td>1980-12-10</td>\n",
       "      <td>12812 days</td>\n",
       "      <td>35.101370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>Fanélie Carrey-Conte</td>\n",
       "      <td>1980-05-16</td>\n",
       "      <td>13020 days</td>\n",
       "      <td>35.671233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Damien Abad</td>\n",
       "      <td>1980-04-05</td>\n",
       "      <td>13061 days</td>\n",
       "      <td>35.783562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>Romain Colas</td>\n",
       "      <td>1979-11-22</td>\n",
       "      <td>13196 days</td>\n",
       "      <td>36.153425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>Virginie Duby-Muller</td>\n",
       "      <td>1979-08-16</td>\n",
       "      <td>13294 days</td>\n",
       "      <td>36.421918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>Razzy Hammadi</td>\n",
       "      <td>1979-02-22</td>\n",
       "      <td>13469 days</td>\n",
       "      <td>36.901370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>Sébastien Denaja</td>\n",
       "      <td>1979-01-14</td>\n",
       "      <td>13508 days</td>\n",
       "      <td>37.008219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>Mathieu Hanotin</td>\n",
       "      <td>1978-08-22</td>\n",
       "      <td>13653 days</td>\n",
       "      <td>37.405479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>Olivier Dussopt</td>\n",
       "      <td>1978-08-16</td>\n",
       "      <td>13659 days</td>\n",
       "      <td>37.421918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Julien Aubert</td>\n",
       "      <td>1978-06-11</td>\n",
       "      <td>13725 days</td>\n",
       "      <td>37.602740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>Seybah Dagoma</td>\n",
       "      <td>1978-06-09</td>\n",
       "      <td>13727 days</td>\n",
       "      <td>37.608219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>Laurent Grandguillaume</td>\n",
       "      <td>1978-01-20</td>\n",
       "      <td>13867 days</td>\n",
       "      <td>37.991781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Sébastien Pietrasanta</td>\n",
       "      <td>1977-08-07</td>\n",
       "      <td>14033 days</td>\n",
       "      <td>38.446575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Nicolas Bays</td>\n",
       "      <td>1977-05-01</td>\n",
       "      <td>14131 days</td>\n",
       "      <td>38.715068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>Thierry Robert</td>\n",
       "      <td>1977-04-01</td>\n",
       "      <td>14161 days</td>\n",
       "      <td>38.797260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>Guillaume Larrivé</td>\n",
       "      <td>1977-01-24</td>\n",
       "      <td>14228 days</td>\n",
       "      <td>38.980822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>Christophe Premat</td>\n",
       "      <td>1976-12-07</td>\n",
       "      <td>14276 days</td>\n",
       "      <td>39.112329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>Paola Zanetti</td>\n",
       "      <td>1976-09-01</td>\n",
       "      <td>14373 days</td>\n",
       "      <td>39.378082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>Arnaud Leroy</td>\n",
       "      <td>1976-04-23</td>\n",
       "      <td>14504 days</td>\n",
       "      <td>39.736986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>Gwendal Rouillard</td>\n",
       "      <td>1976-04-20</td>\n",
       "      <td>14507 days</td>\n",
       "      <td>39.745205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Yann Capet</td>\n",
       "      <td>1975-12-31</td>\n",
       "      <td>14618 days</td>\n",
       "      <td>40.049315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>Eduardo Rihan Cypel</td>\n",
       "      <td>1975-11-13</td>\n",
       "      <td>14666 days</td>\n",
       "      <td>40.180822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>Yannick Moreau</td>\n",
       "      <td>1975-08-04</td>\n",
       "      <td>14767 days</td>\n",
       "      <td>40.457534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>528</th>\n",
       "      <td>Julie Sommaruga</td>\n",
       "      <td>1975-08-01</td>\n",
       "      <td>14770 days</td>\n",
       "      <td>40.465753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Nathalie Appéré</td>\n",
       "      <td>1975-07-08</td>\n",
       "      <td>14794 days</td>\n",
       "      <td>40.531507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>Barbara Pompili</td>\n",
       "      <td>1975-06-13</td>\n",
       "      <td>14819 days</td>\n",
       "      <td>40.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>505</th>\n",
       "      <td>Maina Sage</td>\n",
       "      <td>1975-05-10</td>\n",
       "      <td>14853 days</td>\n",
       "      <td>40.693151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>Gérard Charasse</td>\n",
       "      <td>1944-03-26</td>\n",
       "      <td>26220 days</td>\n",
       "      <td>71.835616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Danielle Auroi</td>\n",
       "      <td>1944-02-29</td>\n",
       "      <td>26246 days</td>\n",
       "      <td>71.906849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>Jean-Paul Dupré</td>\n",
       "      <td>1944-02-05</td>\n",
       "      <td>26270 days</td>\n",
       "      <td>71.972603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>Conchita Lacuey</td>\n",
       "      <td>1943-09-30</td>\n",
       "      <td>26398 days</td>\n",
       "      <td>72.323288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>Serge Janquin</td>\n",
       "      <td>1943-08-05</td>\n",
       "      <td>26454 days</td>\n",
       "      <td>72.476712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>Jean-Pierre Dufau</td>\n",
       "      <td>1943-07-05</td>\n",
       "      <td>26485 days</td>\n",
       "      <td>72.561644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>Suzanne Tallard</td>\n",
       "      <td>1943-06-19</td>\n",
       "      <td>26501 days</td>\n",
       "      <td>72.605479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>Michel Françaix</td>\n",
       "      <td>1943-05-28</td>\n",
       "      <td>26523 days</td>\n",
       "      <td>72.665753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>521</th>\n",
       "      <td>Roger-Gérard Schwartzenberg</td>\n",
       "      <td>1943-04-17</td>\n",
       "      <td>26564 days</td>\n",
       "      <td>72.778082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Michel Piron</td>\n",
       "      <td>1943-03-15</td>\n",
       "      <td>26597 days</td>\n",
       "      <td>72.868493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Jacques Bompard</td>\n",
       "      <td>1943-02-24</td>\n",
       "      <td>26616 days</td>\n",
       "      <td>72.920548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>Odile Saugues</td>\n",
       "      <td>1943-01-26</td>\n",
       "      <td>26645 days</td>\n",
       "      <td>73.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Pierre Aylagas</td>\n",
       "      <td>1942-07-24</td>\n",
       "      <td>26831 days</td>\n",
       "      <td>73.509589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>Georges Ginesta</td>\n",
       "      <td>1942-07-08</td>\n",
       "      <td>26847 days</td>\n",
       "      <td>73.553425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>Gaby Charroux</td>\n",
       "      <td>1942-06-25</td>\n",
       "      <td>26860 days</td>\n",
       "      <td>73.589041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>Jean-Pierre Door</td>\n",
       "      <td>1942-04-01</td>\n",
       "      <td>26945 days</td>\n",
       "      <td>73.821918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>William Dumas</td>\n",
       "      <td>1942-01-23</td>\n",
       "      <td>27013 days</td>\n",
       "      <td>74.008219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>François Loncle</td>\n",
       "      <td>1941-10-21</td>\n",
       "      <td>27107 days</td>\n",
       "      <td>74.265753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>Yves Fromion</td>\n",
       "      <td>1941-09-15</td>\n",
       "      <td>27143 days</td>\n",
       "      <td>74.364384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>René Dosière</td>\n",
       "      <td>1941-08-03</td>\n",
       "      <td>27186 days</td>\n",
       "      <td>74.482192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>Jean-Claude Guibal</td>\n",
       "      <td>1941-01-13</td>\n",
       "      <td>27388 days</td>\n",
       "      <td>75.035616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>512</th>\n",
       "      <td>André Santini</td>\n",
       "      <td>1940-10-20</td>\n",
       "      <td>27473 days</td>\n",
       "      <td>75.268493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>Jacques Kossowski</td>\n",
       "      <td>1940-10-11</td>\n",
       "      <td>27482 days</td>\n",
       "      <td>75.293151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>Marc Goua</td>\n",
       "      <td>1940-03-03</td>\n",
       "      <td>27704 days</td>\n",
       "      <td>75.901370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>Jean-Michel Couve</td>\n",
       "      <td>1940-01-03</td>\n",
       "      <td>27764 days</td>\n",
       "      <td>76.065753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>Jean-Claude Mathis</td>\n",
       "      <td>1939-08-15</td>\n",
       "      <td>27905 days</td>\n",
       "      <td>76.452055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Bernard Brochand</td>\n",
       "      <td>1938-06-05</td>\n",
       "      <td>28341 days</td>\n",
       "      <td>77.646575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>Lucien Degauchy</td>\n",
       "      <td>1937-06-11</td>\n",
       "      <td>28700 days</td>\n",
       "      <td>78.630137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>Alfred Marie-Jeanne</td>\n",
       "      <td>1936-11-15</td>\n",
       "      <td>28908 days</td>\n",
       "      <td>79.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>518</th>\n",
       "      <td>François Scellier</td>\n",
       "      <td>1936-05-07</td>\n",
       "      <td>29100 days</td>\n",
       "      <td>79.726027</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>577 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Noms Dates de naissance        Âge  Âge (années)\n",
       "395       Marion Maréchal-Le Pen         1989-12-10  9525 days     26.095890\n",
       "359                Marie Le Vern         1983-01-11 12050 days     33.013699\n",
       "160              Gérald Darmanin         1982-10-11 12142 days     33.265753\n",
       "393           Laurent Marcangeli         1980-12-10 12812 days     35.101370\n",
       "105         Fanélie Carrey-Conte         1980-05-16 13020 days     35.671233\n",
       "0                    Damien Abad         1980-04-05 13061 days     35.783562\n",
       "139                 Romain Colas         1979-11-22 13196 days     36.153425\n",
       "195         Virginie Duby-Muller         1979-08-16 13294 days     36.421918\n",
       "290                Razzy Hammadi         1979-02-22 13469 days     36.901370\n",
       "176             Sébastien Denaja         1979-01-14 13508 days     37.008219\n",
       "292              Mathieu Hanotin         1978-08-22 13653 days     37.405479\n",
       "207              Olivier Dussopt         1978-08-16 13659 days     37.421918\n",
       "22                 Julien Aubert         1978-06-11 13725 days     37.602740\n",
       "157                Seybah Dagoma         1978-06-09 13727 days     37.608219\n",
       "273       Laurent Grandguillaume         1978-01-20 13867 days     37.991781\n",
       "453        Sébastien Pietrasanta         1977-08-07 14033 days     38.446575\n",
       "46                  Nicolas Bays         1977-05-01 14131 days     38.715068\n",
       "488               Thierry Robert         1977-04-01 14161 days     38.797260\n",
       "339            Guillaume Larrivé         1977-01-24 14228 days     38.980822\n",
       "469            Christophe Premat         1976-12-07 14276 days     39.112329\n",
       "574                Paola Zanetti         1976-09-01 14373 days     39.378082\n",
       "372                 Arnaud Leroy         1976-04-23 14504 days     39.736986\n",
       "499            Gwendal Rouillard         1976-04-20 14507 days     39.745205\n",
       "100                   Yann Capet         1975-12-31 14618 days     40.049315\n",
       "487          Eduardo Rihan Cypel         1975-11-13 14666 days     40.180822\n",
       "424               Yannick Moreau         1975-08-04 14767 days     40.457534\n",
       "528              Julie Sommaruga         1975-08-01 14770 days     40.465753\n",
       "16               Nathalie Appéré         1975-07-08 14794 days     40.531507\n",
       "461              Barbara Pompili         1975-06-13 14819 days     40.600000\n",
       "505                   Maina Sage         1975-05-10 14853 days     40.693151\n",
       "..                           ...                ...        ...           ...\n",
       "119              Gérard Charasse         1944-03-26 26220 days     71.835616\n",
       "24                Danielle Auroi         1944-02-29 26246 days     71.906849\n",
       "204              Jean-Paul Dupré         1944-02-05 26270 days     71.972603\n",
       "328              Conchita Lacuey         1943-09-30 26398 days     72.323288\n",
       "310                Serge Janquin         1943-08-05 26454 days     72.476712\n",
       "196            Jean-Pierre Dufau         1943-07-05 26485 days     72.561644\n",
       "535              Suzanne Tallard         1943-06-19 26501 days     72.605479\n",
       "232              Michel Françaix         1943-05-28 26523 days     72.665753\n",
       "521  Roger-Gérard Schwartzenberg         1943-04-17 26564 days     72.778082\n",
       "455                 Michel Piron         1943-03-15 26597 days     72.868493\n",
       "69               Jacques Bompard         1943-02-24 26616 days     72.920548\n",
       "514                Odile Saugues         1943-01-26 26645 days     73.000000\n",
       "25                Pierre Aylagas         1942-07-24 26831 days     73.509589\n",
       "257              Georges Ginesta         1942-07-08 26847 days     73.553425\n",
       "120                Gaby Charroux         1942-06-25 26860 days     73.589041\n",
       "186             Jean-Pierre Door         1942-04-01 26945 days     73.821918\n",
       "200                William Dumas         1942-01-23 27013 days     74.008219\n",
       "382              François Loncle         1941-10-21 27107 days     74.265753\n",
       "237                 Yves Fromion         1941-09-15 27143 days     74.364384\n",
       "188                 René Dosière         1941-08-03 27186 days     74.482192\n",
       "283           Jean-Claude Guibal         1941-01-13 27388 days     75.035616\n",
       "512                André Santini         1940-10-20 27473 days     75.268493\n",
       "321            Jacques Kossowski         1940-10-11 27482 days     75.293151\n",
       "270                    Marc Goua         1940-03-03 27704 days     75.901370\n",
       "152            Jean-Michel Couve         1940-01-03 27764 days     76.065753\n",
       "411           Jean-Claude Mathis         1939-08-15 27905 days     76.452055\n",
       "87              Bernard Brochand         1938-06-05 28341 days     77.646575\n",
       "167              Lucien Degauchy         1937-06-11 28700 days     78.630137\n",
       "397          Alfred Marie-Jeanne         1936-11-15 28908 days     79.200000\n",
       "518            François Scellier         1936-05-07 29100 days     79.726027\n",
       "\n",
       "[577 rows x 4 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values(by='Âge (années)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On peut maintenant faire un histogramme des âges des députés :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x8a0e208>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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L4ygbMjqlaOWWLVu6eOm5pdPpsDe2b3h8e1fnGR/f3tXvqdvzT0x018Hdm+q3KZY21u/2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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x8967b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Âge (années)'].hist(bins=25)\n",
    "plt.xlabel('âge')\n",
    "plt.ylabel('nombre de députés')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Les statistiques que l'on peut calculer sont : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    577.000000\n",
       "mean      57.998637\n",
       "std        9.988493\n",
       "min       26.095890\n",
       "25%       50.967123\n",
       "50%       58.627397\n",
       "75%       66.167123\n",
       "max       79.726027\n",
       "Name: Âge (années), dtype: float64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Âge (années)'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comparaison avec le restant de la France "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On trouve sur le site de l'INSEE un lien vers des [statistiques sur l'âge de la population française en 2014](http://www.insee.fr/fr/themes/detail.asp?ref_id=bilan-demo&reg_id=0&page=donnees-detaillees/bilan-demo/pop_age2.htm)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Année de naissance</th>\n",
       "      <th>Âge révolu</th>\n",
       "      <th>Nombre\n",
       "d'hommes</th>\n",
       "      <th>Nombre\n",
       "de femmes</th>\n",
       "      <th>Ensemble</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014</td>\n",
       "      <td>0</td>\n",
       "      <td>387051</td>\n",
       "      <td>370260</td>\n",
       "      <td>757311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>387916</td>\n",
       "      <td>370500</td>\n",
       "      <td>758416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012</td>\n",
       "      <td>2</td>\n",
       "      <td>394045</td>\n",
       "      <td>376249</td>\n",
       "      <td>770294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2011</td>\n",
       "      <td>3</td>\n",
       "      <td>394471</td>\n",
       "      <td>380218</td>\n",
       "      <td>774689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010</td>\n",
       "      <td>4</td>\n",
       "      <td>407929</td>\n",
       "      <td>388696</td>\n",
       "      <td>796625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2009</td>\n",
       "      <td>5</td>\n",
       "      <td>405344</td>\n",
       "      <td>386586</td>\n",
       "      <td>791930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2008</td>\n",
       "      <td>6</td>\n",
       "      <td>407169</td>\n",
       "      <td>389524</td>\n",
       "      <td>796693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2007</td>\n",
       "      <td>7</td>\n",
       "      <td>405278</td>\n",
       "      <td>386970</td>\n",
       "      <td>792248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2006</td>\n",
       "      <td>8</td>\n",
       "      <td>412787</td>\n",
       "      <td>394049</td>\n",
       "      <td>806836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>404066</td>\n",
       "      <td>386640</td>\n",
       "      <td>790706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2004</td>\n",
       "      <td>10</td>\n",
       "      <td>402204</td>\n",
       "      <td>384465</td>\n",
       "      <td>786669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2003</td>\n",
       "      <td>11</td>\n",
       "      <td>400289</td>\n",
       "      <td>383260</td>\n",
       "      <td>783549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2002</td>\n",
       "      <td>12</td>\n",
       "      <td>403767</td>\n",
       "      <td>384236</td>\n",
       "      <td>788003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2001</td>\n",
       "      <td>13</td>\n",
       "      <td>408339</td>\n",
       "      <td>390995</td>\n",
       "      <td>799334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2000</td>\n",
       "      <td>14</td>\n",
       "      <td>417354</td>\n",
       "      <td>399436</td>\n",
       "      <td>816790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1999</td>\n",
       "      <td>15</td>\n",
       "      <td>400215</td>\n",
       "      <td>381184</td>\n",
       "      <td>781399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1998</td>\n",
       "      <td>16</td>\n",
       "      <td>400967</td>\n",
       "      <td>381289</td>\n",
       "      <td>782256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1997</td>\n",
       "      <td>17</td>\n",
       "      <td>395245</td>\n",
       "      <td>375323</td>\n",
       "      <td>770568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1996</td>\n",
       "      <td>18</td>\n",
       "      <td>396418</td>\n",
       "      <td>378272</td>\n",
       "      <td>774690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1995</td>\n",
       "      <td>19</td>\n",
       "      <td>385463</td>\n",
       "      <td>369869</td>\n",
       "      <td>755332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1994</td>\n",
       "      <td>20</td>\n",
       "      <td>367552</td>\n",
       "      <td>354457</td>\n",
       "      <td>722009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1993</td>\n",
       "      <td>21</td>\n",
       "      <td>358340</td>\n",
       "      <td>348128</td>\n",
       "      <td>706468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1992</td>\n",
       "      <td>22</td>\n",
       "      <td>372304</td>\n",
       "      <td>364953</td>\n",
       "      <td>737257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1991</td>\n",
       "      <td>23</td>\n",
       "      <td>372851</td>\n",
       "      <td>371150</td>\n",
       "      <td>744001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1990</td>\n",
       "      <td>24</td>\n",
       "      <td>379819</td>\n",
       "      <td>379366</td>\n",
       "      <td>759185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1989</td>\n",
       "      <td>25</td>\n",
       "      <td>377886</td>\n",
       "      <td>381935</td>\n",
       "      <td>759821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1988</td>\n",
       "      <td>26</td>\n",
       "      <td>379413</td>\n",
       "      <td>387338</td>\n",
       "      <td>766751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1987</td>\n",
       "      <td>27</td>\n",
       "      <td>380395</td>\n",
       "      <td>386549</td>\n",
       "      <td>766944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1986</td>\n",
       "      <td>28</td>\n",
       "      <td>384267</td>\n",
       "      <td>394913</td>\n",
       "      <td>779180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1985</td>\n",
       "      <td>29</td>\n",
       "      <td>383224</td>\n",
       "      <td>393452</td>\n",
       "      <td>776676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>1938</td>\n",
       "      <td>76</td>\n",
       "      <td>195545</td>\n",
       "      <td>249332</td>\n",
       "      <td>444877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>1937</td>\n",
       "      <td>77</td>\n",
       "      <td>186798</td>\n",
       "      <td>244132</td>\n",
       "      <td>430930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>1936</td>\n",
       "      <td>78</td>\n",
       "      <td>181433</td>\n",
       "      <td>243847</td>\n",
       "      <td>425280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>1935</td>\n",
       "      <td>79</td>\n",
       "      <td>171016</td>\n",
       "      <td>239291</td>\n",
       "      <td>410307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>1934</td>\n",
       "      <td>80</td>\n",
       "      <td>166256</td>\n",
       "      <td>240306</td>\n",
       "      <td>406562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>1933</td>\n",
       "      <td>81</td>\n",
       "      <td>151458</td>\n",
       "      <td>228378</td>\n",
       "      <td>379836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>1932</td>\n",
       "      <td>82</td>\n",
       "      <td>148284</td>\n",
       "      <td>231031</td>\n",
       "      <td>379315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>1931</td>\n",
       "      <td>83</td>\n",
       "      <td>135213</td>\n",
       "      <td>217397</td>\n",
       "      <td>352610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>1930</td>\n",
       "      <td>84</td>\n",
       "      <td>125189</td>\n",
       "      <td>211078</td>\n",
       "      <td>336267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>1929</td>\n",
       "      <td>85</td>\n",
       "      <td>107349</td>\n",
       "      <td>189472</td>\n",
       "      <td>296821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>1928</td>\n",
       "      <td>86</td>\n",
       "      <td>94475</td>\n",
       "      <td>176127</td>\n",
       "      <td>270602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>1927</td>\n",
       "      <td>87</td>\n",
       "      <td>81730</td>\n",
       "      <td>161042</td>\n",
       "      <td>242772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>1926</td>\n",
       "      <td>88</td>\n",
       "      <td>70129</td>\n",
       "      <td>147781</td>\n",
       "      <td>217910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>1925</td>\n",
       "      <td>89</td>\n",
       "      <td>59217</td>\n",
       "      <td>133111</td>\n",
       "      <td>192328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>1924</td>\n",
       "      <td>90</td>\n",
       "      <td>48109</td>\n",
       "      <td>114793</td>\n",
       "      <td>162902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>1923</td>\n",
       "      <td>91</td>\n",
       "      <td>38600</td>\n",
       "      <td>99268</td>\n",
       "      <td>137868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>1922</td>\n",
       "      <td>92</td>\n",
       "      <td>31205</td>\n",
       "      <td>85541</td>\n",
       "      <td>116746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>1921</td>\n",
       "      <td>93</td>\n",
       "      <td>24783</td>\n",
       "      <td>71112</td>\n",
       "      <td>95895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>1920</td>\n",
       "      <td>94</td>\n",
       "      <td>18943</td>\n",
       "      <td>58457</td>\n",
       "      <td>77400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>1919</td>\n",
       "      <td>95</td>\n",
       "      <td>8352</td>\n",
       "      <td>27135</td>\n",
       "      <td>35487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>1918</td>\n",
       "      <td>96</td>\n",
       "      <td>5013</td>\n",
       "      <td>18468</td>\n",
       "      <td>23481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>1917</td>\n",
       "      <td>97</td>\n",
       "      <td>2925</td>\n",
       "      <td>12820</td>\n",
       "      <td>15745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>1916</td>\n",
       "      <td>98</td>\n",
       "      <td>1808</td>\n",
       "      <td>8636</td>\n",
       "      <td>10444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>1915</td>\n",
       "      <td>99</td>\n",
       "      <td>1574</td>\n",
       "      <td>6943</td>\n",
       "      <td>8517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>1914</td>\n",
       "      <td>100</td>\n",
       "      <td>1601</td>\n",
       "      <td>7777</td>\n",
       "      <td>9378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>1913</td>\n",
       "      <td>101</td>\n",
       "      <td>847</td>\n",
       "      <td>4804</td>\n",
       "      <td>5651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>1912</td>\n",
       "      <td>102</td>\n",
       "      <td>546</td>\n",
       "      <td>3037</td>\n",
       "      <td>3583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>1911</td>\n",
       "      <td>103</td>\n",
       "      <td>362</td>\n",
       "      <td>1943</td>\n",
       "      <td>2305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>1910</td>\n",
       "      <td>104</td>\n",
       "      <td>230</td>\n",
       "      <td>1267</td>\n",
       "      <td>1497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>1909 ou avant</td>\n",
       "      <td>105 ou plus</td>\n",
       "      <td>18</td>\n",
       "      <td>1086</td>\n",
       "      <td>1104</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>106 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Année de naissance   Âge révolu  Nombre\\nd'hommes  Nombre\\nde femmes  \\\n",
       "0                 2014            0            387051             370260   \n",
       "1                 2013            1            387916             370500   \n",
       "2                 2012            2            394045             376249   \n",
       "3                 2011            3            394471             380218   \n",
       "4                 2010            4            407929             388696   \n",
       "5                 2009            5            405344             386586   \n",
       "6                 2008            6            407169             389524   \n",
       "7                 2007            7            405278             386970   \n",
       "8                 2006            8            412787             394049   \n",
       "9                 2005            9            404066             386640   \n",
       "10                2004           10            402204             384465   \n",
       "11                2003           11            400289             383260   \n",
       "12                2002           12            403767             384236   \n",
       "13                2001           13            408339             390995   \n",
       "14                2000           14            417354             399436   \n",
       "15                1999           15            400215             381184   \n",
       "16                1998           16            400967             381289   \n",
       "17                1997           17            395245             375323   \n",
       "18                1996           18            396418             378272   \n",
       "19                1995           19            385463             369869   \n",
       "20                1994           20            367552             354457   \n",
       "21                1993           21            358340             348128   \n",
       "22                1992           22            372304             364953   \n",
       "23                1991           23            372851             371150   \n",
       "24                1990           24            379819             379366   \n",
       "25                1989           25            377886             381935   \n",
       "26                1988           26            379413             387338   \n",
       "27                1987           27            380395             386549   \n",
       "28                1986           28            384267             394913   \n",
       "29                1985           29            383224             393452   \n",
       "..                 ...          ...               ...                ...   \n",
       "76                1938           76            195545             249332   \n",
       "77                1937           77            186798             244132   \n",
       "78                1936           78            181433             243847   \n",
       "79                1935           79            171016             239291   \n",
       "80                1934           80            166256             240306   \n",
       "81                1933           81            151458             228378   \n",
       "82                1932           82            148284             231031   \n",
       "83                1931           83            135213             217397   \n",
       "84                1930           84            125189             211078   \n",
       "85                1929           85            107349             189472   \n",
       "86                1928           86             94475             176127   \n",
       "87                1927           87             81730             161042   \n",
       "88                1926           88             70129             147781   \n",
       "89                1925           89             59217             133111   \n",
       "90                1924           90             48109             114793   \n",
       "91                1923           91             38600              99268   \n",
       "92                1922           92             31205              85541   \n",
       "93                1921           93             24783              71112   \n",
       "94                1920           94             18943              58457   \n",
       "95                1919           95              8352              27135   \n",
       "96                1918           96              5013              18468   \n",
       "97                1917           97              2925              12820   \n",
       "98                1916           98              1808               8636   \n",
       "99                1915           99              1574               6943   \n",
       "100               1914          100              1601               7777   \n",
       "101               1913          101               847               4804   \n",
       "102               1912          102               546               3037   \n",
       "103               1911          103               362               1943   \n",
       "104               1910          104               230               1267   \n",
       "105      1909 ou avant  105 ou plus                18               1086   \n",
       "\n",
       "     Ensemble  \n",
       "0      757311  \n",
       "1      758416  \n",
       "2      770294  \n",
       "3      774689  \n",
       "4      796625  \n",
       "5      791930  \n",
       "6      796693  \n",
       "7      792248  \n",
       "8      806836  \n",
       "9      790706  \n",
       "10     786669  \n",
       "11     783549  \n",
       "12     788003  \n",
       "13     799334  \n",
       "14     816790  \n",
       "15     781399  \n",
       "16     782256  \n",
       "17     770568  \n",
       "18     774690  \n",
       "19     755332  \n",
       "20     722009  \n",
       "21     706468  \n",
       "22     737257  \n",
       "23     744001  \n",
       "24     759185  \n",
       "25     759821  \n",
       "26     766751  \n",
       "27     766944  \n",
       "28     779180  \n",
       "29     776676  \n",
       "..        ...  \n",
       "76     444877  \n",
       "77     430930  \n",
       "78     425280  \n",
       "79     410307  \n",
       "80     406562  \n",
       "81     379836  \n",
       "82     379315  \n",
       "83     352610  \n",
       "84     336267  \n",
       "85     296821  \n",
       "86     270602  \n",
       "87     242772  \n",
       "88     217910  \n",
       "89     192328  \n",
       "90     162902  \n",
       "91     137868  \n",
       "92     116746  \n",
       "93      95895  \n",
       "94      77400  \n",
       "95      35487  \n",
       "96      23481  \n",
       "97      15745  \n",
       "98      10444  \n",
       "99       8517  \n",
       "100      9378  \n",
       "101      5651  \n",
       "102      3583  \n",
       "103      2305  \n",
       "104      1497  \n",
       "105      1104  \n",
       "\n",
       "[106 rows x 5 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pop = pd.read_excel('http://www.insee.fr/fr/ppp/bases-de-donnees/donnees-detaillees/bilan-demo/fichiers-xls/pop-1janvier-fm.xls',\n",
    "                      skiprows=7,\n",
    "                      header=1,\n",
    "                      skipfooter=3)\n",
    "df_pop"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Le nombre de français par classe d'âge est le suivant : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x9273f28>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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BMIAoEW4szklE162KjVqyJHf3WkmlUuRq+3O57VC57Q/r1KNw4Y+srkI/b3v/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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x925f198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_pop.plot('Âge révolu', 'Ensemble')\n",
    "plt.ylabel('population')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Afin de pouvoir comparer la distribution des députés avec celle des français normaux, on va utiliser une méthode d'estimation par noyaux, analogue à un histogramme. Le code vient d'ici :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from scipy.stats import gaussian_kde\n",
    "\n",
    "def kde_scipy(x, x_grid, bandwidth=0.2, **kwargs):\n",
    "    \"\"\"Kernel Density Estimation with Scipy\"\"\"\n",
    "    # Note that scipy weights its bandwidth by the covariance of the\n",
    "    # input data.  To make the results comparable to the other methods,\n",
    "    # we divide the bandwidth by the sample standard deviation here.\n",
    "    kde = gaussian_kde(x, bw_method=bandwidth / x.std(ddof=1), **kwargs)\n",
    "    return kde.evaluate(x_grid)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Afin d'utiliser ce code, il nous faut transformer les données cumulées disponibles pour la population française en données ponctuelles (une série d'âges). Nous faisons ceci en prenant une certaine classe d'âge proportionnellement à un facteur de décimation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "decimation_factor = 1000\n",
    "french_pop_ages = []\n",
    "for ind, value in enumerate(df_pop['Ensemble']):\n",
    "    french_pop_ages += [ind for _ in range(int(value / decimation_factor))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "64152"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(french_pop_ages)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On va faire les graphes sur des âges entre 0 et 100 ans. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "age_grid = np.linspace(0, 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pop_kde = kde_scipy(np.array(french_pop_ages), age_grid, bandwidth=0.4)\n",
    "dep_kde = kde_scipy(df['Âge (années)'].values, age_grid, bandwidth=0.4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0xaaf2710>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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fjpTyfSCnxbkVLY6XtpJvI3ByG9csA87yYzEVJWQKKx1eLT3jT4lWMykJFg4c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\nGGOMCY0lHWOMMaH5f8cGDaeIDvlTAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xaad4d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(age_grid, \n",
    "         pop_kde, \n",
    "         label='population française')\n",
    "plt.plot(age_grid, \n",
    "         dep_kde, \n",
    "         label='députés')\n",
    "plt.legend(loc='upper left')\n",
    "plt.xlabel('âge')\n",
    "plt.ylabel('densité')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ces densités étant difficiles à visualiser, on leur préfère généralement la visualisation de la fréquence cumulée, qui permet de les comparer facilement en terme de distribution :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0xb672be0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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fmAXaQgLzQX0AFJnZEA+Xw9HAYqAP/u/F1cAmvFkWU4Ex+MvhY2A00B6PlIVz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x92cf4a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import statsmodels.api as sm # recommended import according to the docs\n",
    "\n",
    "ecdf_mp = sm.distributions.ECDF(df['Âge (années)'].values)\n",
    "ecdf_french_pop = sm.distributions.ECDF(french_pop_ages)\n",
    "y_mp = ecdf_mp(age_grid)\n",
    "y_french_pop = ecdf_french_pop(age_grid)\n",
    "plt.step(age_grid, y_mp, label='députés')\n",
    "plt.step(age_grid, y_french_pop, label='population française')\n",
    "plt.legend(loc='upper left')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comme on le voit, les répartitions sont très différents : plus de députés vieux par rapport à la population, mais également moins de députés \"très vieux\" par rapport à cette même population."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On peut également calculer un \"taux de représentation\" à l'aide de ces valeurs : c'est-à-dire un ratio entre la densité de députés pour un certain âge et le nombre de députés de cet âge-là."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0xb6a8dd8>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0xb64b080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(age_grid, dep_kde / pop_kde, label='représentation actuelle des députés')\n",
    "plt.plot(age_grid, np.ones_like(age_grid), label='représentation équi-âge')\n",
    "plt.legend(loc='upper left', fontsize=10)\n",
    "plt.xlabel('âge')\n",
    "plt.ylabel('densité')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On peut noter que les âges entre 50 et 70 sont surreprésentés, alors que les âges en dehors sont sous-représentés par la distribution actuelle des députés.\n",
    "\n",
    "Si l'on compare les quantiles entre la population française et les députés, on obtient :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    64152.000000\n",
       "mean        40.538175\n",
       "std         24.030176\n",
       "min          0.000000\n",
       "25%         20.000000\n",
       "50%         41.000000\n",
       "75%         59.000000\n",
       "max        105.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series(french_pop_ages).describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    577.000000\n",
       "mean      57.998637\n",
       "std        9.988493\n",
       "min       26.095890\n",
       "25%       50.967123\n",
       "50%       58.627397\n",
       "75%       66.167123\n",
       "max       79.726027\n",
       "Name: Âge (années), dtype: float64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Âge (années)'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On peut résumer ces données par le tableau suivant :\n",
    "\n",
    "| population | âge moyen | âge minimal | âge maximal | 25% de la population a moins de | 50% a moins de  | 50% a plus de | 25% a plus de |\n",
    "|----------------------|-----------|-------|---------|-----------------|-----------------|---------------|---------------|\n",
    "| les Français | 41 ans    | 0 ans | 105 ans | 20 ans | 41 ans          | 41 ans        | 59 ans |\n",
    "| les députés français | 58 ans    | 26 ans | 79 ans | 51 ans          | 59 ans          | 59 ans        | 66 ans        |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dans ce billet, nous avons étudié les données de l'âge disponibles pour les députés français. La distribution obtenue permet de retrouver les [histogrammes officiels](http://www.assemblee-nationale.fr/qui/xml/age.asp?legislature=14) et fournir de plus amples détails, comme par exemple la moyenne d'âge d'environ 60 ans des députés français. \n",
    "\n",
    "Dans la deuxième partie du billet, nous avons comparé la distribution des âges des députés avec celles du français moyen. On constate que les deux distributions sont assez différentes. En particulier, les jeunes (jusqu'à 40 ans environ) ne sont pas représentés dans les âges des députés, alors que les âges entre 50 et 70 sont surreprésentés (facteur entre 2 et 5). \n",
    "\n",
    "De nombreuses questions peuvent être posées au vu de ces résultats : quels sont les avantages et les inconvénients de cette distribution inégale ? Peut-on supposer qu'elle induit un biais significatif sur les décisions et les manières de penser par rapport à la population ? Existe-t-il des points sur lesquels l'expérience des députés diffère sensiblement de celle de la population (internet est un point qui me vient à l'esprit) ? Cette répartition par rapport à la population se retrouve-t-elle dans d'autres pays comparables à la France ? Comment a-t-elle évolué dans le temps (il y a 50 ans par exemple) ? \n"
   ]
  }
 ],
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