{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analyse des dialogues dans l'Avare de Molière"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import os \n",
    "import urllib.request\n",
    "import linecache\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On récupère le texte de \"l'Avare de Molière\" sous format markdown. Pour éviter d'éventuels problèmes, on fait une copie locale du fichier.Il est dangereux de télécharger les données à chaque exécution, car il est possible que nous les remplacions par un fichier défectueux dans le cas d'une panne. Pour cette raison, nous téléchargeons le fichier uniquement si la copie locale n'existe pas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "texte_url = \"http://dramacode.github.io/markdown/moliere_avare.txt\"\n",
    "texte_file = \"moliere_avare.txt\"\n",
    "if not os.path.exists(texte_file):\n",
    "    urllib.request.urlretrieve(texte_url,texte_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On cherche à classez les personnages selon la quantité de parole. Pour se faire, nous allons réaliser une analyse syntaxique du texte. Celui-ci est représenté de la façon suivante:\n",
    "- les 40 premières lignes nous donne les informations liée à la piéce ainsi que le nom et rôle de chaque personnage.\n",
    "- les actes sont représentés sous forme de Titre 2 (##).\n",
    "- les scénes sont  représentés sous forme de Titre 3 (###).\n",
    "- Pour chaque réplique, le nom du personnage est écrit en majuscule et sa réplique est écrite en dessous."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "scene=\"###\"\n",
    "nbscenevalere=0\n",
    "nbsceneelise=0\n",
    "nbscenecleante=0\n",
    "nbsceneharpagon=1\n",
    "nbscenefleche=0\n",
    "nbscenesimon=0\n",
    "nbscenefrosine=0\n",
    "nbscenejacques=0\n",
    "nbscenemerluche=0\n",
    "nbscenebrindavoine=0\n",
    "nbscenemariane=0\n",
    "nbscenecommissaire=0\n",
    "nbsceneanselme=0\n",
    "nbscenedame=0\n",
    "nbsceneclerc=0\n",
    "nbligne=0\n",
    "\n",
    "nbscenetotal={}\n",
    "\n",
    "with open(texte_file,'r') as file:  \n",
    "    for ligne in file:\n",
    "        nbligne+=1\n",
    "        if scene in ligne:\n",
    "                nompersonnages = linecache.getline(texte_file, nbligne+1)\n",
    "                \n",
    "                if \"Valère\" in nompersonnages:\n",
    "                        nbscenevalere+=1\n",
    "                        nbscenetotal[\"Valère\"]=nbscenevalere\n",
    "                if \"Élise\" in nompersonnages:\n",
    "                        nbsceneelise+=1\n",
    "                        nbscenetotal[\"Élise\"]=nbsceneelise\n",
    "                if \"Cléante\" in nompersonnages:\n",
    "                        nbscenecleante+=1\n",
    "                        nbscenetotal[\"Cléante\"]=nbscenecleante\n",
    "                if \"Harpagon\" in nompersonnages:\n",
    "                        nbsceneharpagon+=1\n",
    "                        nbscenetotal[\"Harpagon\"]=nbsceneharpagon\n",
    "                if \"La Flèche\" in nompersonnages:\n",
    "                        nbscenefleche+=1\n",
    "                        nbscenetotal[\"La Flèche\"]=nbscenefleche\n",
    "                if \"Maître Simon\" in nompersonnages:\n",
    "                        nbscenesimon+=1\n",
    "                        nbscenetotal[\"Maître Simon\"]=nbscenesimon\n",
    "                if \"Frosine\" in nompersonnages:\n",
    "                        nbscenefrosine+=1\n",
    "                        nbscenetotal[\"Frosine\"]=nbscenefrosine\n",
    "                if \"Maître Jacques\" in nompersonnages:\n",
    "                        nbscenejacques+=1\n",
    "                        nbscenetotal[\"Maître Jacques\"]=nbscenejacques\n",
    "                if \"La Merluche\" in nompersonnages:\n",
    "                        nbscenemerluche+=1\n",
    "                        nbscenetotal[\"La Merluche\"]=nbscenemerluche\n",
    "                if \"Brindavoine\" in nompersonnages:\n",
    "                        nbscenebrindavoine+=1\n",
    "                        nbscenetotal[\"Brindavoine\"]=nbscenebrindavoine\n",
    "                if \"Mariane\" in nompersonnages:\n",
    "                        nbscenemariane+=1\n",
    "                        nbscenetotal[\"Mariane\"]=nbscenemariane\n",
    "                if \"Commissaire\" in nompersonnages:\n",
    "                        nbscenecommissaire+=1\n",
    "                        nbscenetotal[\"Le Commissaire\"]=nbscenecommissaire\n",
    "                if \"Anselme\" in nompersonnages:\n",
    "                        nbsceneanselme+=1\n",
    "                        nbscenetotal[\"Anselme\"]=nbsceneanselme\n",
    "                if \"Dame Claude\" in nompersonnages:\n",
    "                        nbscenedame+=1\n",
    "                        nbscenetotal[\"Dame Claude\"]=nbscenedame\n",
    "                if \"son Clerc\" in nompersonnages:\n",
    "                        nbsceneclerc+=1\n",
    "                        nbscenetotal[\"son Clerc\"]=nbsceneclerc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On commence par regarder le nombre de fois ou un personnage apparait dans la piece (en d'autre terme, on compte le nombre de scène ou il apparait).\n",
    "on sait que Harpagon fait un monologue donc on le fait commencer à 1 t non à zero. \n",
    "On met les résultats dans un dictionnaire pour faciliter leurs affichages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Valère = 8\n",
      "Élise = 14\n",
      "Cléante = 15\n",
      "Harpagon = 23\n",
      "La Flèche = 6\n",
      "Maître Simon = 1\n",
      "Frosine = 15\n",
      "Maître Jacques = 9\n",
      "La Merluche = 2\n",
      "Brindavoine = 2\n",
      "Dame Claude = 1\n",
      "Mariane = 12\n",
      "Le Commissaire = 6\n",
      "son Clerc = 6\n",
      "Anselme = 2\n"
     ]
    }
   ],
   "source": [
    " for cle, valeur in nbscenetotal.items():\n",
    "        print(cle, \"=\", valeur)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On peut voir qu'Harpagon semble être le personnage qui parle dans le plus de scène.\n",
    "De même, Dame Claude et Maître Simon semble parler le moins.\n",
    "\n",
    "Cependant l'on regarde ici que le nombre de scène.Il est possible qu'un personnage ne soit que dans une scène mais parle plus qu'un autre. \n",
    "\n",
    "pour remédier à ce problème, nous allons approfondir un peu et regarder le nombre de réplique par personnage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "nbacte=0\n",
    "nbscene=0\n",
    "nbrepliquevalere=0\n",
    "nbrepliqueelise=0\n",
    "nbrepliquecleante=0\n",
    "nbrepliqueharpagon=0\n",
    "nbrepliquefleche=0\n",
    "nbrepliquesimon=0\n",
    "nbrepliquefrosine=0\n",
    "nbrepliquejacques=0\n",
    "nbrepliquemerluche=0\n",
    "nbrepliquebrindavoine=0\n",
    "nbrepliquemariane=0\n",
    "nbrepliquecommissaire=0\n",
    "nbrepliqueanselme=0\n",
    "nbrepliquedame=0\n",
    "nbrepliqueclerc=0\n",
    "\n",
    "nbrepliquetotal={}\n",
    "        \n",
    "with open(texte_file,'r') as file:  \n",
    "    for ligne in file: \n",
    "        if nbacte<2:\n",
    "            if ligne[0]==\"#\" and ligne[1]==\"#\" and ligne[2]!=\"#\":\n",
    "                nbacte+=1\n",
    "            if nbscene<2:\n",
    "                if scene in ligne:\n",
    "                    nbscene+=1\n",
    "                if \"VALÈRE\" in ligne:\n",
    "                    nbrepliquevalere+=1\n",
    "                    nbrepliquetotal[\"Valère\"]=nbrepliquevalere\n",
    "                if \"ÉLISE\" in ligne:\n",
    "                    nbrepliqueelise+=1\n",
    "                    nbrepliquetotal[\"Élise\"]=nbrepliqueelise\n",
    "                if \"CLÉANTE\" in ligne:\n",
    "                    nbrepliquecleante+=1\n",
    "                    nbrepliquetotal[\"Cléante\"]=nbrepliquecleante\n",
    "                if \"HARPAGON\" in ligne:\n",
    "                    nbrepliqueharpagon+=1\n",
    "                    nbrepliquetotal[\"Harpagon\"]=nbrepliqueharpagon\n",
    "                if \"LA FLÈCHE\" in ligne:\n",
    "                    nbrepliquefleche+=1\n",
    "                    nbrepliquetotal[\"La Flèche\"]=nbrepliquefleche\n",
    "                if \"MAÎTRE SIMON\" in ligne:\n",
    "                    nbrepliquesimon+=1\n",
    "                    nbrepliquetotal[\"Maître Simon\"]=nbrepliquesimon\n",
    "                if \"FROSINE\" in ligne:\n",
    "                    nbrepliquefrosine+=1\n",
    "                    nbrepliquetotal[\"Frosine\"]=nbrepliquefrosine\n",
    "                if \"MAÎTRE JACQUES\" in ligne:\n",
    "                    nbrepliquejacques+=1\n",
    "                    nbrepliquetotal[\"Maître Jacques\"]=nbrepliquejacques\n",
    "                if \"LA MERLUCHE\" in ligne:\n",
    "                    nbrepliquemerluche+=1\n",
    "                    nbrepliquetotal[\"La Merluche\"]=nbrepliquemerluche\n",
    "                if \"BRINDAVOINE\" in ligne:\n",
    "                    nbrepliquebrindavoine+=1\n",
    "                    nbrepliquetotal[\"Brindavoine\"]=nbrepliquebrindavoine\n",
    "                if \"MARIANE\" in ligne:\n",
    "                    nbrepliquemariane+=1\n",
    "                    nbrepliquetotal[\"Mariane\"]=nbrepliquemariane\n",
    "                if \"LE COMMISSAIRE\" in ligne:\n",
    "                    nbrepliquecommissaire+=1\n",
    "                    nbrepliquetotal[\"Le Commissaire\"]=nbrepliquecommissaire\n",
    "                if \"ANSELME\" in ligne:\n",
    "                    nbrepliqueanselme+=1\n",
    "                    nbrepliquetotal[\"Anselme\"]=nbrepliqueanselme\n",
    "                if \"DAME CLAUDE\" in ligne:\n",
    "                    nbrepliquedame+=1\n",
    "                    nbrepliquetotal[\"Dame Claude\"]=nbrepliquedame\n",
    "                if \"SON CLERC\" in ligne:\n",
    "                    nbrepliqueclerc+=1\n",
    "                    nbrepliquetotal[\"son Clerc\"]=nbrepliqueclerc\n",
    "            nbscene=1\n",
    "        nbacte=1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On met encore une fois les résultats dans un dictionnaire pour faciliter leurs affichages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Valère = 101\n",
      "Élise = 51\n",
      "Cléante = 161\n",
      "Harpagon = 354\n",
      "La Flèche = 66\n",
      "Maître Simon = 5\n",
      "Frosine = 60\n",
      "Maître Jacques = 85\n",
      "La Merluche = 5\n",
      "Brindavoine = 3\n",
      "Mariane = 31\n",
      "Le Commissaire = 17\n",
      "Anselme = 20\n"
     ]
    }
   ],
   "source": [
    " for cle, valeur in nbrepliquetotal.items():\n",
    "        print(cle, \"=\", valeur)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On remarque qu'il manque deux personnages. Celà signifie qu'ils non pas de réplique.Par conséquent on est sur que son Clerc et Dame Claude ne parlent.\n",
    "\n",
    "On voit également qu'Harpagon est celui qui a le plus de réplique.\n",
    "Il semble être le personnage qui parle le plus.\n",
    "Pour en être sur on vas regarder le nombre de mot prononcés par personnages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "nbligne=0\n",
    "nbmotsvalere=0\n",
    "nbmotselise=0\n",
    "nbmotscleante=0\n",
    "nbmotsharpagon=0\n",
    "nbmotsfleche=0\n",
    "nbmotssimon=0\n",
    "nbmotsfrosine=0\n",
    "nbmotsjacques=0\n",
    "nbmotsmerluche=0\n",
    "nbmotsbrindavoine=0\n",
    "nbmotsmariane=0\n",
    "nbmotscommissaire=0\n",
    "nbmotsanselme=0\n",
    "nbmotsclaude=0\n",
    "nbmotsclerc=0\n",
    "\n",
    "nbmotstotal={}\n",
    "\n",
    "with open(texte_file,'r') as file:\n",
    "    for ligne in file:\n",
    "                nbligne+=1\n",
    "                if \"VALÈRE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmotsvalere+=1\n",
    "                            nbmotstotal[\"Valère\"]=nbmotsvalere\n",
    "                if \"ÉLISE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmotselise+=1\n",
    "                            nbmotstotal[\"Élise\"]=nbmotselise\n",
    "                if \"CLÉANTE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmotscleante+=1\n",
    "                            nbmotstotal[\"Cléante\"]=nbmotscleante\n",
    "                if \"HARPAGON\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmotsharpagon+=1\n",
    "                            nbmotstotal[\"Harpagon\"]=nbmotsharpagon\n",
    "                if \"LA FLÈCHE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmotsfleche+=1\n",
    "                            nbmotstotal[\"La Flèche\"]=nbmotsfleche\n",
    "                if \"MAÎTRE SIMON\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmotssimon+=1\n",
    "                            nbmotstotal[\"Maître Simon\"]=nbmotssimon\n",
    "                if \"FROSINE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmotsfrosine+=1\n",
    "                            nbmotstotal[\"Frosine\"]=nbmotsfrosine\n",
    "                if \"MAÎTRE JACQUES\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmotsjacques+=1\n",
    "                            nbmotstotal[\"Maître Jacques\"]=nbmotsjacques\n",
    "                if \"LA MERLUCHE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmotsmerluche+=1\n",
    "                            nbmotstotal[\"La Merluche\"]=nbmotsmerluche\n",
    "                if \"BRINDAVOINE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmotsbrindavoine+=1\n",
    "                            nbmotstotal[\"Brindavoine\"]=nbmotsbrindavoine\n",
    "                if \"MARIANE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmotsmariane+=1\n",
    "                            nbmotstotal[\"Mariane\"]=nbmotsmariane\n",
    "                if \"LE COMMISSAIRE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmotscommissaire+=1\n",
    "                            nbmotstotal[\"Le Commissaire\"]=nbmotscommissaire\n",
    "                if \"ANSELME\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmotsanselme+=1\n",
    "                            nbmotstotal[\"Anselme\"]=nbmotsanselme\n",
    "                if \"DAME CLAUDE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmotsclaude+=1\n",
    "                            nbmotstotal[\"Dame Claude\"]=nbmotsclaude\n",
    "                if \"SON CLERC\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmotsclerc+=1\n",
    "                            nbmotstotal[\"son Clerc\"]=nbmotsclerc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Valère = 2559\n",
      "Élise = 1023\n",
      "Cléante = 3177\n",
      "Harpagon = 5218\n",
      "La Flèche = 1436\n",
      "Maître Simon = 186\n",
      "Frosine = 2036\n",
      "Maître Jacques = 1414\n",
      "La Merluche = 49\n",
      "Brindavoine = 38\n",
      "Mariane = 878\n",
      "Le Commissaire = 281\n",
      "Anselme = 488\n"
     ]
    }
   ],
   "source": [
    " for cle, valeur in nbmotstotal.items():\n",
    "        print(cle, \"=\", valeur)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On voit bien qu'Harpagon a le plus de mots à dire.\n",
    "Celà confirme notre hypothèse.Nous sommes donc sur qu'il est le personnage qui parle le plus dans la pièce."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pour y voir plus clair nous allons réalisez plusieurs graphiques qui montreront le nombre de mots\n",
    "que chaque acteur prononce dans chaque scène.\n",
    "\n",
    "Nous allons récuperé dans une liste de liste d'entier le numero de l'acte , de la scène ainsi que le nombre de mots que prononce chaque personne de cette scène."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "nbligne=0\n",
    "nbscene=0\n",
    "nbacte=0\n",
    "nbmots=0\n",
    "nbscenetotal=0\n",
    "listeacte=[]\n",
    "listescene=[]\n",
    "listemotspersonnages=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]\n",
    "with open(texte_file,'r') as file:  \n",
    "    for ligne in file:\n",
    "                nbligne+=1\n",
    "                if ligne[0]==\"#\" and ligne[1]==\"#\" and ligne[2]!=\"#\":\n",
    "                    nbacte+=1\n",
    "                    listeacte.append(0)\n",
    "                    listescene=[]\n",
    "                    nbscene=0\n",
    "                if scene in ligne:\n",
    "                    nbscene+=1\n",
    "                    nbscenetotal+=1\n",
    "                    listescene.append(0)\n",
    "                    listemotspersonnages=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]\n",
    "                if \"VALÈRE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmots+=1\n",
    "                        listemotspersonnages[0]=listemotspersonnages[0]+nbmots\n",
    "                        listescene[nbscene-1]=listemotspersonnages\n",
    "                        listeacte[nbacte-1]=listescene\n",
    "                        nbmots=0\n",
    "                if \"ÉLISE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmots+=1\n",
    "                        listemotspersonnages[1]=listemotspersonnages[1]+nbmots\n",
    "                        listescene[nbscene-1]=listemotspersonnages\n",
    "                        listeacte[nbacte-1]=listescene\n",
    "                        nbmots=0\n",
    "                if \"CLÉANTE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmots+=1\n",
    "                        listemotspersonnages[2]=listemotspersonnages[2]+nbmots\n",
    "                        listescene[nbscene-1]=listemotspersonnages\n",
    "                        listeacte[nbacte-1]=listescene\n",
    "                        nbmots=0\n",
    "                if \"HARPAGON\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmots+=1\n",
    "                        listemotspersonnages[3]=listemotspersonnages[3]+nbmots\n",
    "                        listescene[nbscene-1]=listemotspersonnages\n",
    "                        listeacte[nbacte-1]=listescene\n",
    "                        nbmots=0\n",
    "                if \"LA FLÈCHE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmots+=1\n",
    "                        listemotspersonnages[4]=listemotspersonnages[4]+nbmots\n",
    "                        listescene[nbscene-1]=listemotspersonnages\n",
    "                        listeacte[nbacte-1]=listescene\n",
    "                        nbmots=0\n",
    "                if \"MAÎTRE SIMON\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmots+=1\n",
    "                        listemotspersonnages[5]=listemotspersonnages[5]+nbmots\n",
    "                        listescene[nbscene-1]=listemotspersonnages\n",
    "                        listeacte[nbacte-1]=listescene\n",
    "                        nbmots=0\n",
    "                if \"FROSINE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmots+=1\n",
    "                        listemotspersonnages[6]=listemotspersonnages[6]+nbmots\n",
    "                        listescene[nbscene-1]=listemotspersonnages\n",
    "                        listeacte[nbacte-1]=listescene\n",
    "                        nbmots=0\n",
    "                if \"MAÎTRE JACQUES\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmots+=1\n",
    "                        listemotspersonnages[7]=listemotspersonnages[7]+nbmots\n",
    "                        listescene[nbscene-1]=listemotspersonnages\n",
    "                        listeacte[nbacte-1]=listescene\n",
    "                        nbmots=0\n",
    "                if \"LA MERLUCHE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmots+=1\n",
    "                        listemotspersonnages[8]=listemotspersonnages[8]+nbmots\n",
    "                        listescene[nbscene-1]=listemotspersonnages\n",
    "                        listeacte[nbacte-1]=listescene\n",
    "                        nbmots=0\n",
    "                if \"BRINDAVOINE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmots+=1\n",
    "                        listemotspersonnages[9]=listemotspersonnages[9]+nbmots\n",
    "                        listescene[nbscene-1]=listemotspersonnages\n",
    "                        listeacte[nbacte-1]=listescene\n",
    "                        nbmots=0\n",
    "                if \"MARIANE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmots+=1\n",
    "                        listemotspersonnages[10]=listemotspersonnages[10]+nbmots\n",
    "                        listescene[nbscene-1]=listemotspersonnages\n",
    "                        listeacte[nbacte-1]=listescene\n",
    "                        nbmots=0\n",
    "                if \"LE COMMISSAIRE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmots+=1\n",
    "                        listemotspersonnages[11]=listemotspersonnages[11]+nbmots\n",
    "                        listescene[nbscene-1]=listemotspersonnages\n",
    "                        listeacte[nbacte-1]=listescene\n",
    "                        nbmots=0\n",
    "                if \"ANSELME\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmots+=1\n",
    "                        listemotspersonnages[12]=listemotspersonnages[12]+nbmots\n",
    "                        listescene[nbscene-1]=listemotspersonnages\n",
    "                        listeacte[nbacte-1]=listescene\n",
    "                        nbmots=0\n",
    "                if \"DAME CLAUDE\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmots+=1\n",
    "                        listemotspersonnages[13]=listemotspersonnages[13]+nbmots\n",
    "                        listescene[nbscene-1]=listemotspersonnages\n",
    "                        listeacte[nbacte-1]=listescene\n",
    "                        nbmots=0\n",
    "                if \"SON CLERC\" in ligne:\n",
    "                    replique = linecache.getline(texte_file, nbligne+1)\n",
    "                    if replique!=\"\":\n",
    "                        for mot in replique.split():\n",
    "                            nbmots+=1\n",
    "                        listemotspersonnages[14]=listemotspersonnages[14]+nbmots\n",
    "                        listescene[nbscene-1]=listemotspersonnages\n",
    "                        listeacte[nbacte-1]=listescene\n",
    "                        nbmots=0\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On se retrouve donc avec une liste de la forme [[a,d],[e,f]] avec a,d,e et f des entier."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On va ensuite calculer le pourcentage de la scène qu’un acteur occupe.\n",
    "On crée deux fonction qui vont nous renvoyer respectivement le pourcentage de la scène qu’un acteur occupe ainsi que le nombre de scène contenu dans un acte. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pourcentagemotsparsceneparpersonnage(acte,perso):\n",
    "    liste=[]\n",
    "    i=acte\n",
    "    sommemotsscene=0\n",
    "    for j in range(len(listeacte[i])):\n",
    "        sommemotsscene=0\n",
    "        for k in range(len(listeacte[i][j])):\n",
    "            sommemotsscene=sommemotsscene+listeacte[i][j][k]\n",
    "                    \n",
    "        pourcentage=listeacte[i][j][perso]/sommemotsscene*100\n",
    "        liste.append(pourcentage)\n",
    "    return liste\n",
    "\n",
    "def scenparacte(a):\n",
    "    liste=[]\n",
    "    nb=0\n",
    "    for j in range(len(listeacte[a])):\n",
    "        nb+=1\n",
    "        liste.append(nb)\n",
    "                \n",
    "    return liste"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Enfin on affiche les resultats sous forme de graphique acte par acte."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def affichepourcentagepersoneparacteparscenes(a,b):\n",
    "    for i in range(len(listeacte)):\n",
    "            plt.bar(scenparacte(i), pourcentagemotsparsceneparpersonnage(i,a), color = ['magenta' for i in pourcentagemotsparsceneparpersonnage(i,a)],\n",
    "                        linestyle = 'solid', hatch ='/',linewidth = 3,)\n",
    "            plt.bar(scenparacte(i), pourcentagemotsparsceneparpersonnage(i,b), color = ['blue' for i in pourcentagemotsparsceneparpersonnage(i,b)],\n",
    "                        linestyle = 'solid',bottom = pourcentagemotsparsceneparpersonnage(i,a)  , hatch ='/',linewidth = 3)\n",
    "            plt.ylabel('Pourcentage de mots')\n",
    "            plt.xlabel('Scène')\n",
    "            plt.title('Pourcentage de mots par scène par personnages')\n",
    "            plt.show()\n",
    "            \n",
    "def affichepourcentagepersoneparacteparscene(a):\n",
    "        for i in range(len(listeacte)):\n",
    "            plt.bar(scenparacte(i), pourcentagemotsparsceneparpersonnage(i,a), color = ['magenta' for i in pourcentagemotsparsceneparpersonnage(i,a)],\n",
    "                        linestyle = 'solid', hatch ='/',linewidth = 3,)\n",
    "            plt.ylabel('Pourcentage de mots')\n",
    "            plt.xlabel('Scène')\n",
    "            plt.title('Pourcentage de mots par scène par personnages')\n",
    "            plt.show()  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Enfin pour que se soit plus lisible, on les affiches en pair. Le personnage de gauche est en magenta et celui de droite en bleu.\n",
    "\n",
    "- Valère et Élise.\n",
    "- Cléante et Harpagon.\n",
    "- La Flèche et Maître Simon.\n",
    "- Frosine et Maître Jacques.\n",
    "- La Merluche et Brindavoine.\n",
    "- Mariane et Le Commissaire.\n",
    "- Anselme.\n",
    "\n",
    "On affiche pas le personnage de son Clerc et Dame Claude car ceux ci ne parlent pas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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zdIU6ODiYWZtVdYhpE2BzSZsAWwC3AkcAZ+blZwJHVlQ2HBzMzCoIEBHxU+A9wE3ASuCeiPgGsFNErMyvWQns2Ov9kk6QtFzS8tWrV5dQwg4ODmZm1Rxi2p60t/AoYBdgS0nHFH1/RJwREQdExAFLliwZc+k6ODiYmSVVHGJ6NvCTiFgdEQ8BXwKeCtwuaWeA/LhqssXq4OBgZrZOFQHiJuB3JW0hScAhwArgfODY/JpjgfMmV6QODg5mZuvbZNIfGBGXSPoCcDnwMHAFcAawFXCOpONJQeSoyZSoQ7ODQ6ekfM2s7SYeIAAi4lTg1DmzHyDtTUxQh+YHh6OAMk7Wm1nbLXiISdL/lbSNpEWSLpR0xyAnlettGoLDuSXkbWZW7BzEcyPiXuAw4BbgN4G/LLVUEzMNwaGM/M3MigWIRfnxUODsiLizxPJM2LIS8uzg4GBm06DIOYh/k3QN8AvgzyQtAX5ZbrGaqoODg5lNiyJ7EKcCB5HunfQQ8HPgRaWWqpE6ODiY2TQpEiC+ExF3RcRagIi4H/hqucVqmg4ODmY2bfoeYpL0SGBX0k31fgdQXrQN6QZ7Bjg4mNm0mu8cxPOA44DdgNO75q8B3lJimRqkg4ODmU2rvgEiIs4EzpT0BxHxxQmWqSE6ODiYNYtmj4M0vv92iCgj3/UVOQdxoaTTZ2+xLekfJG1beslqrUOzG5dZm3Vodv+dzb98RQLEx0iHlf4wp3uBT5RZqHrr0OzGZdZmHZrdf7vzL1+R30E8OiL+oGv67ZKuLKtA9dah2Y3LrO2a3H/Lzn9DRfYgfiHp4NkJSU8j/WiuZTpMW+WbtU9T+2/Z+fdWZA/if5FOVm9LutT1TtLVTS3SYRor36x9lpWQZ4dpHR8WDBARcSXwBEnb5Ol7Sy9VrXSY1so3s1F1mObxYcEAIWk74E+ApcAmyteJRcTrSy1ZLXSY5so3s1F0mPbxocg5iP8gBYcfAJd1pSnXYdor36xtYkxphg6LOYoZziVYNrZ8B8l/Eoqcg9gsIt5QeklqpYODg5n10qHDURzFuZzLshL6b9n5D6LIHsSnJb1K0s6SdphNpZesMh0cHMyslzYFByi2B/Eg8G7grazbswlgr7IKVZ0ODg5m1kvbggMUCxBvAPaOiDvKLky1Ojg4mFkvbQwOUOwQ09WkPwmaYh0cHMysl7YGByi2B7EWuFLSDPDA7Mzpucy1Q7ODQ6ekfM2szcEBigWIf81pCnVofnA4ClhdQt5m7db24ADFfkl95iQKUo1pCA6TuaujWZs4OCRFzkFMsWkIDmXkb9ZeDg7rtDxALCshzw4ODmbN5OCwvsIBQtKWZRZkOnRwcDBrJgeHDS0YICQ9VdKPgBV5+gmSPlR6yRqng4ODWTM5OPRWZA/ivcDzgJ8BRMT3gWeUWajm6eDgYNZMDg79FTrEFBE3z5m1toSyNFQHBwezZnJwmF+R30HcLOmpQEjaFHg9+XCTdXBwMGsmB4eFFdmDOBF4DbArcAvwxDw9NEnbSfqCpGskrZB0UL5L7AWSrs2P24/yGeXr4OBg1kxNDw4dOmPPs5cFA0RE3BERL4uInSJix4g4JiJ+NuLnvh/4WkT8FvAE0h7JycCFEbEPcGGerqkODg5mzTQNweEojhp7vr30PcQk6Z+Y54+Lhr0XU/5v62cAx+V8HgQelHQE60bDM0mj5JuH+YxydXBwMGumaQkO507oDgrz7UEsJ/216GbAk4Brc3oio52k3ot086BPSLpC0kfzbyx2ioiVAPlxxxE+oyQdHBzMmmtagsPEzmlExLwJmAEWdU0vAmYWet88+R0APAwcmKffD/wtcPec193V5/0nkILX8j322CNGAYOkmYDF+XHQ95abv5kVM8PMkCPX/GmGmVjM4snmPwJgeZFPLnKSehdg667prfK8Yd0C3BIRl+TpL5D2UG6XtDNAflzV680RcUZEHBARByxZsmSEYgyig/cczJqvid/sq7waqkiAeBdwhaRPSvokcDnw98N+YETcRrp0dt886xDgR8D5wLF53rHAecN+xnh1cHAws16mOThAsdt9f0LSV4ED86yT8yA/itcBZ+XfVVwPvIIUrM6RdDxwE0zoNP28Ojg4mFkv0x4coNgP5Wa/9Y/tG31EXEk6FzHXIeP6jNF1cHAws17aEByg9bf77qeDg4OZ9dKW4AAOED10cHAws17aFBygYICQdLCkV+TnSyQ9qtxiVaWDg4OZ9dK24ADF/g/iVNIvmk/JsxYBnymzUJMSXWmGDos5ihnOJVi23rJxpDLzN7NytTE4QLE9iN8HXgTcDxARt7L+7yIar62Vb2YLa/P4UCRAPJh/eRcwfX892vTKn9RdHc3aqOnjw6iKBIhzJP0LsJ2kVwH/CXyk3GJNRtMrf5J3dTRrm6aPD+NQ5Idy75H0HOBeYF/gryPigtJLNgFNrvxJ39XRrE0cHJKiP5S7AJiKoNCtqZXflMZl1kTuv+ssGCAkrWHDi2XuId1R9Y0RcX0ZBZuEJlZ+kxqXWdO4/66vyB7E6cCtwGcBAUcDjwR+DHwcX9D/a25cZs3l/ruhIiepnx8R/xIRayLi3og4Azg0Ij4P1Px/oyfHjcusudx/eysSIH4l6Q8lbZTTH3Yt8++0cOMyazL33/6KBIiXAS8n/YHP7fn5MZI2B15bYtkawY3LrLncf+dX5DLX64HD+yy+eLzFaRY3LrPmcv9dWJGrmDYDjgceC2w2Oz8iXlliuWrPjcusuZrefzt0JjIuFDnE9GnSVUvPA74J7AasKbNQddf0xmXWZk3vvxO9g0JEzJuAK/LjVflxEXDRQu+bRNp///1jJEN86gwzsZjFMcNMKWs1VP5mVkgt+++w+Y8AWF7kE4vsQTyUH++W9DhgW2Dp2CNVAzT9m4dZ2zW5/1YxPhT5odwZkrYH/go4H9gKeFuppaqhaax8s7Zpav+tanwoEiAujIi7gG8BewFM7z/K9TatlW/WNk3sv1WOD0UOMX2xx7wvjLsgdTXNlW9mo5n28aHvHoSk3yJd2rqtpBd3LdqGrstdp9m0V76ZDa8N48N8h5j2BQ4DtmP9H8qtAV5VZqHqoA2Vb2bDacv40DdARMR5wHmSDoqI70ywTJVrS+Wb2eDaND4UOUl9naS3kC5t/fXrY0p/Sd2myjezwbRtfCgSIM4D/ov0X9Rryy1OtdpW+WZWXBvHhyIBYouIeHPpJalYGyvfzIpp6/hQ5DLXr0g6tPSSVKitlW9mC2vz+FAkQJxEChK/lHSvpDWS7i27YJPS9Mrv0Bl7nmaWNH18GFWR/4PYehIFqULTK382/9WsHnveZm3X9PFhHBbcg1ByjKS35endJT2l/KKVr8mV352/mY2Xg0NS5BDTh4CDgD/O0/cBHyytRBPU1MpvSuMyayL333WKBIgDI+I1wC8B8o37Nh31gyVtLOkKSV/J0ztIukDStflx+1E/YyFNrPwmNS6zpnH/XV+RAPGQpI2BAJC0BPjVGD77JGBF1/TJpDvH7gNcmKcbxY3LrLncfzdUJED8I/BlYEdJpwEXA38/yodK2g14IfDRrtlHAGfm52cCR47yGZPmxmXWXO6/vRW5iuksSZcBhwACjoyIFQu8bSHvA94EdF8htVNErMyfuVLSjr3eKOkE4ASAPfbYY8RijIcbl1lzuf/2V+Qqpt8FfhoRH4yIDwC3SDpw2A+UdBiwKiIuG+b9EXFGRBwQEQcsWbJk2GKMjRuXWXO5/86vyCGmfyZduTTr/jxvWE8DXiTpBuBzwLMkfQa4XdLOAPlx1QifMRFuXGbN5f67sCIBQhERsxMR8SuK3cOpp4g4JSJ2i4ilwNHARRFxDOn/ro/NLzuWdJPA2nLjMmuupvffSd1BoUiAuF7S6yUtyukk4PoSyvIu4DmSrgWek6drqemNy6zNmt5/Z/OfiIiYNwE7kg4FrQJuBz4L7LjQ+yaR9t9//xjJEJ86w0wsZnHMMFPKWg2Vv5kVUsv+O2z+IwCWF/nEeQ8V5d8/vCwiji45TjVC0795mLVdk/tvFePDvIeYImIt6fcJrTeNlW/WNk3tv1WND0VONv+3pA8AnyddwQRARFxeWqlqZlor36xtmth/qxwfigSIp+bHd3TNC+BZ4y9O/Uxz5ZvZaKZ9fCjyS+rfm0RB6mjaK9/MhteG8WHBACHpr3vNj4h39Jo/LdpQ+WY2nLaMD0UOMd3f9Xwz4DDWvwvr1GlL5ZvZ4No0PhQ5xPQP3dOS3kP61fNUalPlm9lg2jY+FPkl9VxbAHuNuyB10LbKN7Pi2jg+FDkH8QPynwUBGwNLWP+KpqnQxso3s2LaOj4UOQdxWNfzh4HbI+LhkspTibZWvpktrM3jw4KHmCLiRmA74HDg94H9yi7UJDW98id1V0ezNmr6+DCqBQNEvnvrWaSb9u0InCXpdWUXbBKaXvkTvaujWcs0fXwYi4Xu5gdcBWzZNb0lcNX471M4eBr1bq6+q6NZy9Sx/w6bzyiboeDdXItcxSRgbdf02jyv8Zr6zaAR3zzMGsr9d50iJ6k/AVwi6ct5+kjgY+UVaXKaWPlNalxmTeP+u74iP5Q7XVIHOJi05/CKiLii7II1kRuXWXO5/26ob4CQtBlwIrA38APgQzFll7eOkxuXWXO5//Y23zmIM4EDSMHhBcB7JlKiBnLjMmsu99/+5jvEtF9E/DaApI8Bl06mSM3ixmXWXO6/85tvD+Kh2Sc+tNSbG5dZc7n/Lmy+APEESffmtAZ4/OxzSfdOqoB15cZl1lxN77+TuoNC30NMEbHxRErQQE1vXGZt1vT+O5v/alaPPe+5hrndd6s1vXGZtVnT+293/pPgADGApjcus7Zrcv+tYnxwgChoGivfrG2a2n+rGh8cIAqY1so3a5sm9t8qxwcHiAVMc+Wb2WimfXxwgJjHtFe+mQ2vDeODA0Qfbah8MxtOW8YHB4ge2lL5Zja4No0PDhBztKnyzWwwbRsfJh4gJO0uaUbSCklX5/+8RtIOki6QdG1+3H7SZWtb5ZtZcW0cH6rYg3gYeGNEPAb4XeA1kvYDTgYujIh9gAvz9MS0sfLNrJi2jg8TDxARsTIiLs/P1wArgF2BI0j/QUF+PHJSZWpr5ZvZwto8PlR6DkLSUuB3gEuAnSJiJaQgAuzY5z0nSFouafnq1aPfrKrplT+puzqatVHTx4eRRUQlCdgKuAx4cZ6+e87yuxbKY//9949RzDATi1kcM8yUspaTyt/MCqph/x06/1E2Aywv8imV7EFIWgR8ETgrIr6UZ98uaee8fGdgVdnlaPI3g0nf1dGsTVq/55BVcRWTgI8BKyLi9K5F5wPH5ufHAueVXZamVn5TGpdZE7n/dhn/jtP8CTgYCOAq4MqcDgV+g3T10rX5cYeF8hr1EFMtdxuHyd/Miqlj/x02jbIZCh5i6vuPciUGpIsB9Vl8yCTLMm7+5mHWXO6/G/IvqcekaY1Lmps6SEvyY6/lo6by8jcbVdP678SMfydqcqkuh5gq3y0dZtXpTjMBi/Pj3GXjSOXmb1ZYHfvvsGmUzVDwEFMJm2NyqQ4BohaNa5hVJyYyeE8if7PC6th/h02jbAYHiCJbabRUm8Y1zKoTUxEc8O9AbBB17L/DplE2gwNEka00fKpV4xpm1ackOHgPwgZSx/47ZP4jbQYHiCJbabhUu8Y1zKpPSXBgyPW3lqpj/x0y/5E2gwNEka00eKpl4xpm1ackODhA2CBq2X+HzX8EDhCFttJgqbaNa5hVp4w0U8meiVlRtey/w+Y/AgeIQlupeKptcBiyoUxLcHCAsEHUsv8Om/8IHCAKbaViqdbBYciGMi3BwQHCBlLH/jts/qNsBgeIIltp4VT74DBkQ5mW4OAAYQOpY/8dNv9RNoMDRJGtNH9qRHAYsqFMS3BwgLCB1LH/Dpv/KJvBAaLIVuqfKq/8QdIwq86oaaYWwcEBwgZSx/47bP6jbAYHiCJbqXeqReUPkoZZdUZJM7UJDg4QNpA69t9h8x9lMzhAFNlKG6baVP4gaZhVZ9g0U6vg4AAxuKbV71jrvY79d9j8R+AAUWgrrZ9qVfmDpGFWnWHSTC0HDxtM0+q3LgGiduPDCBwgCm2ldal2lT+Wd+1ZAAAHdklEQVRIGmbVGTTN1HbwsME0rX7rECBqOT6MwAGi0FaK+lb+IGmYVWeQNFPrwcMG07T6rTpA1HZ8GIEDRKGtVOPKHyD/oVadommm9oOHDaZp9VtlgKj1+DACB4gCal35A+Q/jKo79zjzt8E0rX6rChC1Hx9G4ABRQK0rf5D8h1B15678apYWa1r99st/uJUvlmofHEZs9w4QBdS68gfJfwhVd+7Kr2ZpsabVb7/8h1v5hVMjgsOI7d4BotBWGn9qyl0dq+7clV/N0mJNq99++Q+38vOnxgSHEdu9A0ShrTTe1KS7OlbduceZrw2mafXbL//hVr5/alRwGLHdO0AU2krjS027q2PVndsBojpNq99++Q+38r1T44LDiO3eAaLQVhpPqrxxDbPqxLydr0mDhw2mafU71n8SrGP/HTaNwAGi0FYaPdWicQ2z6sS8na9Jg4cNpmn1O9Z/Eqxj/x02jcABotBWGi3VpnENs+rEVASHoa9mabGm1W+//Idb+XWpNv132DQCB4hCW2n4VKvGNcyqT0lw8B7E4JpWv/1eM9zKR/3675D5j8IBotBWGi7VrnENs+pTEhyGHiharGn1O+4AUbv+O2T+o3CAKLSVBk+1bFzDrPqUBAcHiME1rX7HGSBq2X+HzX8EDhCFttJgqbaNa5hVp4w0U8ngYYNpWv2OM0DUsv8Om/8IHCAKbaXiqbbBYciGUnXnHmf+Npim1e84A0Qt+++w+Y+gsQECeD7wY+A64OT5XjupAFHr4DBkQ6m6c48zfxtM0+p3nAGilv132PxH0MgAAWwM/A+wF7Ap8H1gv36vn0SAqH1wGLKhVN25x5m/DaZp9VvnANG0Oyj8ejM0NEAcBHy9a/oU4JR+ry87QDQiOAzZUKru3OPM3wbTtPqta4CofHwYQdEAofTaepD0EuD5EfGnefrlwIER8dqu15wAnJAn9yUdjqqzxcAdVReiIm1ed2j3+rd53aH+679nRCxZ6EWbTKIkA1CPeetFsIg4AzhjMsUZnaTlEXFA1eWoQpvXHdq9/m1ed5ie9d+o6gLMcQuwe9f0bsCtFZXFzKzV6hYgvgfsI+lRkjYFjgbOr7hMZmatVKtDTBHxsKTXAl8nXdH08Yi4uuJijaoxh8NK0OZ1h3avf5vXHaZk/Wt1ktrMzOqjboeYzMysJhwgzMysJweIkkj6uKRVkn5YdVkmTdLukmYkrZB0taSTqi7TpEjaTNKlkr6f1/3tVZdp0iRtLOkKSV+puiyTJukGST+QdKWk5VWXZ1Q+B1ESSc8A7gM+FRGPq7o8kyRpZ2DniLhc0tbAZcCREfGjiotWOkkCtoyI+yQtAi4GToqI71ZctImR9AbgAGCbiDis6vJMkqQbgAMios4/kivMexAliYhvAXdWXY4qRMTKiLg8P18DrAB2rbZUk5HvZHBfnlyUU2u+hUnaDXgh8NGqy2Kjc4CwUklaCvwOcEm1JZmcfIjlSmAVcEFEtGbdgfcBbwJ+VXVBKhLANyRdlm8L1GgOEFYaSVsBXwT+PCLurbo8kxIRayPiiaQ7ATxFUisOMUo6DFgVEZdVXZYKPS0ingS8AHhNPtTcWA4QVop8/P2LwFkR8aWqy1OFiLgb6JD+46QNnga8KB+H/xzwLEmfqbZIkxURt+bHVcCXgadUW6LROEDY2OUTtR8DVkTE6VWXZ5IkLZG0XX6+OfBs4JpqSzUZEXFKROwWEUtJt8m5KCKOqbhYEyNpy3xRBpK2BJ4LNPoqRgeIkkg6G/gOsK+kWyQdX3WZJuhpwMtJ3yCvzOnQqgs1ITsDM5KuIt1b7IKIaN3lni21E3CxpO8DlwL/HhFfq7hMI/FlrmZm1pP3IMzMrCcHCDMz68kBwszMenKAMDOznhwgzMZI0nMlPaHqcpiNgwOE2QIkvTXfmfWqfMnugfO8/GLgjZL2nlT5zMriy1zN5iHpIOB0YFlEPCBpMbDp7C9mzaaZ9yDM5rczcEdEPAAQEXdExK2Snizp2/l/Hy6VtHW+Sd+7JX0v/yfAqwEkLZPUkfQFSddIOiv/2hxJ+0v6Zr6529fzrdLNasF7EGbzyDccvBjYAvhP4POkX8hfA7w0Ir4naRvg58ArgZ0i4m8lbQZ8G3gJsAdwHvBY4Fbgv4G/JN3h9pvAERGxWtJLgedFxCsnuY5m/WxSdQHM6iz/8c/+wNOB3yMFiNOAlRHxvfyaeyGdoAYeJemQ/PZNgb2Ah4FLI+KW/LorgaXA3cDjgAvyDsXGwMrJrJnZwhwgzBYQEWtJd2XtSPoB8Bp6/wmQgLfOvf+OpGXAA12z1pL6noCrI+KgEoptNjKfgzCbh6R9Je3TNeuJpH/I20XSk/Nrtpa0CfB14MR8q/PZ9245T/Y/BpbkE+FIWiTpsaWsiNkQvAdhNr+tgH/Kt/B+GLgOOAH4RJ6/OfAL0m29P0o6dHR5Pgm9GjiyX8YR8aCklwD/KGlbUn98H3B1eatjVpxPUpuZWU8+xGRmZj05QJiZWU8OEGZm1pMDhJmZ9eQAYWZmPTlAmJlZTw4QZmbW0/8HJs6DXakW9S4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "affichepourcentagepersoneparacteparscenes(0,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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PwONTRKDt8amra+hw4H/M7ErgKOCUtP8U4OiafHCcMQi0vRA3S8DjU0SgC/GpSwheBJyW3u9pZhsB0use/U6QtFrSeknrN23yhb6dJgh0oRA3R8DjU0SgK/HJLgSStgOey4gTa5vZyWa20sxWLl26NI9zjjOQQFcKcTMEPD5FBLoUnzpaBM8Ezjez69Pn6yUtA0ivN9Tgg+OMQGAalh/MR6BLlVz9BLoWnzqE4A/Y3C0E8BXg2PT+WOCsGnxwnJIEpmX5wTwEulbJ1Uugi/HJKgSSdgSeDny5Z/d7gadLuiwde29OHxynPIFpWn6wegJdrOTqI9DV+CzIadzM7gTuP2/fTcRRRI7TMqZv5anqCOSPTw67dRHocvr6k8WOcx8uAv0JeHdZEYFup68LgeP0sCqDzUC3K4mAd5cVEZiGgQUuBI6TjUC3RQC8u6yIwLS0lFwIHCcLgW5XcnO4CPQnME0tJRcCx6mcQLcruV5WZbAZ6HZ8AtPWUnIhcJxKCXS7kstNoPvxmS4RABcCx6mQQPcruZwEpiM+0yUC4ELgOBURmI5KLheB6YnPqgw2A03Gx4XAcSYmMD2VXA4CHp8iAk3Hx4XAcSYi0HQhbjcBj08RgTbEx4XAccYm0IZC3F4CHp8iAm2Jz1AhkPR+SbtIWihpraQbJb2kDuccp70E2lKI20nA41NEoE3xKdMi+F0zuw04Erga+C3gz7J65TitJtCmQtw+Ah6fIgJti08ZIViYXp8FnGZmP8/oj+O0nEDbCnG7CHh8igi0MT5lpqH+F0mXAL8E/kTSUuBXed1ynDYSaGMhbg8Bj08RgbbGp0yL4ETgUGClmd0N3Elcg9hxZohAWwtxOwh4fIoItDk+ZYTgO2Z2s5ndC2BmdwD/Vsa4pN0kfUnSJZIulnSopMWSzpF0WXrdfZI/4Dj5CbS5EDdPwONTRKDt8RkoBJIeIOkxwA6SHi3p4LStAnYsaf8jwFfN7KHAgcDFwBpgrZntD6xNnx2npQTaXoibJeDxKSLQhfgU3SN4BnAcsDfwwZ79twNvG2ZY0i7Ak5MNzOwu4C5JR7E5IqcQI/WWkbx2nFoIdKEQN0fA41NEoCvxGSgEZnYKcIqk3zezfxrD9oOBTcCnJB0InAecAOxpZhvTb2yUtEe/kyWtBlYDLF++fIyfd5xJCHSlEDdDwONTRKBL8Slzj2CtpA9KWp+2/yNp1xLnLQAOBv7ezB4N3MEI3UBmdrKZrTSzlUuXLi17muNUQGAalh/MR6BLlVz9BLoWnzJC8I/E7qAXpO024FMlzrsauNrMzk2fv0QUhuslLQNIrzeM6rTj5CMwLcsP5iHQtUquXgJdjE8ZIXiImZ1oZpen7Z3Ebp9CzOw6YIOkA9Kuw4GfAF8Bjk37jgXOGsNvx8lAYJqWH6yeQBcrufoIdDU+ZR4o+6WkJ5rZtwAkPYH4cFkZXgucKmk74HLgZUTxOV3S8cBVdPvyyJkqpm/lqeoI5I9PDrt1Eehy+pYRgv9FvGm8KyDg56SRQMMwswuAlX0OHV7WQcepDxeB/gTqEclNGWzXQaDb6VtCCFJlfmAaDkqagM5xppBVGWwGul1JBLy7rIjANLSUhgqBpN2APwJWAAskAWBmr8vqmeN0nkC3RQC8u6yIwLS0lMp0Df0r8F3gQuA3ed1xnGkh0O1Kbg4Xgf4EpqmlVEYItjezN2b3xHGmhkC3K7leVmWwGeh2fALT1lIqM3z0s5JeIWlZmjBusaTF2T1znE4S6HYll5tA9+MzXSIA5YTgLuAk4DvEaSLOA9bndMpxukmg+5XclliF2zoCSziGdZyBsWqr491hukQAynUNvRHYz8xuzO2M43SXQFWFOI3HyGZ/PlZDLRwIHMMxnMEZrOq8SK7KYDPQ5EVEmRbBRcTFaBzH6UtgGrsLqmK6RCAHgabTt0yL4F7gAknrgF/P7fTho44D3ReBkMnunHUXgWICTYsAlBOCf06b4zhbEOi+COQbp+4iMIxAG0QAyj1ZfEodjjhOtwhMhwjkGafuIjCMQFtEAMrdI3AcZwsC0yMC1dt3ERhGoE0iAC4EjjMigfyF2EVgegm0TQRgBCGQtFNORxyn/QTqKcQuAvORQApIS9MrGbbN9vMQaKMIQAkhkHSYpJ8AF6fPB0r6aHbPHKdVBOorxDnsB7oqAnO/0OWWUptFAMq1CD4EPAO4CcDMfgg8OadTjtMuAm0uxMMJdFsEoNuVdG77k1Nm+ChmtkFbPu54b5nzJF1BXO/4XuAeM1uZ5in6InFa6yuAF5jZzeVddpw6CbS9EBcT6L4IQHcr6dz2q6FMi2CDpMMAk7SdpD8ldROV5HfM7CAzm1upbA2w1sz2B9amz47TQgJdKMSDCUyHCEA3K+nc9qujjBC8Cng18EDgauCg9HlcjgLmnk04BTh6AluOk4lAVwpxfwLTIwI5CLgIbKbMA2U3Ai8e074BX5dkwD+Y2cnAnma2MdneKGmPfidKWg2sBli+fPmYP+844xDo8rQOLgLDCLgIbMlAIZD0NxTMDltyrqEnmNm1qbI/R9IlZR1LonEywMqVK7s1S63TYQJdntbBRWAYAReBrSnqGlpPXHtge+Bg4LK0HUTJm8Vmdm16vQE4E3gccL2kZQDp9YZxnXecagl0eVoHF4FhBFwEBmBmhRuwDljY83khsK7EeTsBi3refxs4grjIzZq0fw3w/mG2HvOYx5jj5AaWGKyzOEN/1du6LewX+zG5/VG2Ymfito51toQlto51Q0rreNs61mWIyfjxGd2X8eM/UfoMAVhfJgXKDB/dC1gE/Dx93jntG8aewJlp2OkC4PNm9lVJ3wdOl3Q8cBVRQh2nBXT1SjGv/dwtgTn7mzraXdbplkCijBC8F/hBWo8A4CnAXw47ycwuBw7ss/8m4PARfHScmliVwWagy5VQXSJwRke7y7o/sCBRptkAPIA47PMo4AFlzqly864hpw5ydwdN1vWQrzuiiNzdQVvYrzxtxo9POV+qif8w/yeBCruGMLPrgLOyqZHjTB2Bbl+JRupoCfjcRMPs58enoXacygl0uxLajIvANNrfGhcCx6mUwLRVElXSfREgs/2Q2X5/SgmBpCdKell6v1TSg/K65ThdJDCNlURVTIcIkNF+oKn0LbMewYnAW4C3pl0Lgc/ldMpxukfARWAw0yMCZLIfaDJ9y7QIfg94LnAHgMWnhRfldMpxukXARWAw0yUCOQg07X8ZIbgrDUMy8CUrHWdLAt0WgZDBZq91F4FiAm3wv4wQnC7pH4DdJL0C+Hfg43ndcpwuEOi+COR7sN9FYBiBtvhfZhrqD0h6OnAbcADwF2Z2TnbPHKfVBKZDBPKMU3cRGEagTf6XfaDsHMArf8cBpksEqrfffREImez22m+PCEC5UUO3S7pt3rZB0pmSHlyHk47THgI+Tr3I+jSIQM55MOfst0cEoFyL4IPAtcDnAQEvIs49dCnwSdr0bxwnKwEfp15kfVpEoKsT4E3AsMmIgHP77Ptuev1hmQmNJt180jmnDuqY4K3aSedGn8Bs1Anwxp5AbpytMCbVxn9YfKpPn/H9nwRKTjpXZtTQbyS9QNI2aXtBr45UrkyO0zoCrb2SK0Wg2y0B6HJ3WRfyTxkheDHwUuKSkten9y+RtAPwmoy+OU4LCLS9EBcT6L4IQHcr6dz2q6HM8NHLgecMOPytat1xnDYR6EIhHkxgOkQAullJ57ZfHUOFQNL2wPHAI4gL2QNgZi8v8wOStgXWA9eY2ZGSFgNfBFYAVwAvMLObR/bccbIS6Eoh7k9gekQgBwEXgc2U6Rr6LHGU0DOAbwJ7A7eP8BsnABf3fF4DrDWz/YG16bPjtIhAl6d1cBEYRsBFYEvKCMF+ZvYO4A4zOwV4NvDbZYxL2jt9/xM9u48CTknvTwGOLu+u4+Qm4OPUi6y7CDRrPw9lhODu9HqLpEcCuxK7dcrwYeDNwG969u1pZhsB0use/U6UtFrSeknrN23aVPLnHGcSAj5Ovci6i0Cz9vNRRghOlrQ78OfAV4CfAO8bdpKkI4EbzOy8cRwzs5PNbKWZrVy6dOk4JhxnRLpcSeS1n1sEQse7y7osAkCpB8oeVGZfn++8B7iaeEP4OuBO4oI2lwLL0neWAZcOszXJA2W5H8ap8uEPp1nqelip+geWxn9YqcwDZZU8LFawzdmvNiaTxWc0XyaLf846hZIPlA3/ApzfZ995ZYz3fH8VcHZ6fxKwJr1fA7x/2PnNCsFoiex0l7pEoFohGC1/jppn6xKBdazLlDbjxae8L5PHf5j/k1BWCAYOH5X0UOKQ0V0lPa/n0C70DCMdg/cS1zg4HriKvHfOJiTQ6eae0zCBrndH5O4Omp65iXLaz3+PtOg5ggOAI4Hd2PKBstuBV4zyI2YWSGPmzOwm4PBRzm+GgIuAMz6BbldCEReBNtivgWFNBuDQMk2LnFv9XUPjN/ec7pK7O6i6rqHx8+fIeTZDiR7Y3VRZ2kwen2Jfqo3/MP8ngUm7hnr4qaS3EYeM3vd9K/lkcfcIeEvAGZ9At69E89L9lgCZ7YfM9vtTRgjOAv6TuFbxvXndaZpAlwuZ0zSBaawkqmI6RICM9gNNpW8ZIdjRzN6S3ZPGCXS5kDlNE3ARGMz0iACZ7AeaTN8yD5SdLelZ2T1plECXC5nTNAEXgcFMlwjkINC0/2WE4ASiGPwqrVd8u6TbcjtWH4GmE8HpMoFui0DIYLPXuotAMYE2+F9mPYJFdTjSDIE2JILTVQLdF4F849RdBIYRaIv/Q1sEirxE0jvS530kPS6/a7kJtCURnC4SmA4RyDNO3UVgGIE2+V+ma+ijwKHAH6bPvwD+LptHtRBoUyI4XSMwPSJQvf3ui0DIYHO+/XbVP2WE4BAzezXwKwCLq4ltl9WrrATalghOlwj4OPUi69MgAt1dL2JcSq1HkJabNABJS9lyfYEOEej2lYTTLAEfp15kfVpEoJvrRUzEsEePgRcT1yG4Gng3cRrpY8o8tlzVVs0UE/U8Fu50l7ZM61DHtAVVTzFRySylhTGpp/yWmdah6vhPkleGQVVTTJjZqZLOI04UJ+BoM7t4yGktI9DtKwmnWQKtvZIrRaDbLQHocndZJ/LPMKUAHg8s6vm8iHjfYFzdH3mbrEXQnisJp93U0RKov0Uw3P9iZ4q3StcrKIxJPeW3+vSZPP9MAhUuTPMDQD2ft6HPYjU5t8mEoD4RcCHoNnWJQH1CUM7/YmcGb5UvWlNLTMrFpxpfqsk/k1BWCMrcLFYyONeC+A3l5ihqCTPc3HMmINDt9A10vzsoJ4GZ7w7qoYwQXC7pdZIWpu0E4PJhJ0naXtL3JP1Q0kWS3pn2L5Z0jqTL0uvuk/6JYlZlsBnoUiI7oxLo9uiygItAEQEXgS0pIwSvAg4DriGOHDoEWF3ivF8DTzWzA4GDgCMkPZ64TvFaM9sfWJs+d4hA1xLZGYWAj1Mvsu4i0Kz9TBT1GwHbAm8o08c0xM6OwPlEEbkUWJb2LwMuHXZ+s4vXj9bn53SXOgcWFPuRL39Oco8g90L2eWIyXnzG8yVP/pkEKrxZHMoYGnDutsAFxGkp3pf23TLvOzcPOHc1sB5Yv3z58gkCUW8mcrpLW0aX1SkCZYUgtwisyyaO48VndF/Gj39XhODdwN8CTwIOntvKGO+xsRuwDnhkWSHo3ZpvEZRPZKe7tGV0WZ0iUEYI6hCBJUMexqxTBEZPn8ni3wYhKDP657D0+q7eHiXgqeU6n8DMbpEUgCOA6yUtM7ONkpYBN5S10wyBTvb5OWOwKoPNQJf7pHPfE+i1n4dAl+Mf7eewO48yajHOBiwFdkvvdyCue3wkcBKwJu1fA7x/mK3mWgTVXkk47aaOlkC1LYJqrkSLqKMlcJ/9ytNm/PiU86Wa+A/zfxKoqkUg6S8GCMi7+u3vYRlwSpqwbhvgdDM7W9J3gNMlHQ9cRd4hFBMQ8JaAMz6Bbl+JRupoCXR/grrc9vNTpmvojp732xOv6ofONWRmPwIe3Wf/TcR5i1pMwEXAGZ9AtyuhzbgITKP9PpRpNvRuwP2Ar4163iRbvV1DkzX3nO6Suzuomq6hyfLnyHm24tJceOO5krSpJj5YtOOSAAAPQElEQVTFvnRn2hoqnGJiPjsCD65SjNpDwFsCzvgEpu5KsUK63xKYY/rSt8w9ggshLkpDfC5gKVuOIJoSAl0uZE7TBFwEBjM9IkAm+4Em07fMPYIje97fA1xvZvdk8qchAl0uZE7TBFwEBjNdIpCDQNP+D+0aMrMriQ+EPQf4PeDhuZ2ql0DTieB0mUC3RSBksNlrffpEwCrc1hFYwjGs4wyMVX2/UwdDhSDNNnoqsEfaTpX02tyO1UPARcAZn0D3RSDf6O1pFIEqadUEfsPuJgM/Anbq+bwT8KMyd6Kr2vKMGqpmdMFIIzCcVjPp6I7qRqXky5/9/C92ZrxtrGkpRkqbvPHJEZOx4zMBVLkwDXBvz+d7074OE+jylYTTNIHpaAl0c1oK7y6rnjI3iz8FnCvpzPT5aOAf87mUm4CLgDM+gfz5x0Wg6Bfqic+mDLbbKQLA8K6h2LrgYOB1wAnAo6tpHDXRNZS3OTm0me20mtzdQeW7hvLlz1EXas/eHdS7DU2b/OW3dd1lw9JnCEw6DTVxOonXE6egfiWwYPwQtEEI6slETnepSwSGC0G+/DnqBHi1icDQmNRTfsusF1GrCAzzZZirFdwjOAVYCVwIPBP4QK5WSX4C0zRBlFM3gW53Jwa63R0E3l2WmUEKAVzY834BcP54Wth0i6BFVxJOq6mjJVB/i2C4/8XOFG+VLlpTGJN6ym+VraQ6WkrDoIIWwd09YtHhJ4m7eyXhNE2g2+kbmJ4r3Rz2A9MTn8koGjV0oKTb0nsBO6TPIkrmLtm9qwQXAWccAt1O34BXckUEPD6bGSgEZrZtnY7kY1UGm4FuVxJOMYFuLz8Y8EquiIDHZ0vGmYa6FJL2kbRO0sWSLkpTVSBpsaRzJF2WXnfP5UMeAi4C00ygy9M6eCU3jIDHpw9j3r4YuhGXqjw4vV8E/Ddxwrr3s+Waxe8bZqu5NYvL3VgqfZPJaTVtGaeeM39OcrO40hvD/bYsMRkvPmVjUkt8JoBJnyOoegPOAp4OXAosS/uWAZcOO7cdQlAuEzndpS2jy+oUgbKVXm4RWJdNHMeLT5mY1CaSE9AqIQBWEBeq3wW4Zd6xmwecsxpYD6xfvnz5BIGoNxM53aUtyw/WKQJlKr06RGDJkIcx6xSBUYWgyZbSMFojBMDOwHnA89LnUkLQuzXbIhgtEzndpS4RqFYIRsufo+bZukQgX4tgvPgUOzPA/0zxmYRWCAGwEPga8MaefR3qGho9EzndpS4RqE4IRs+fo+bZ2kSgsphUE59iZwb4nyk+k9C4EBCfN/gM8OF5+0+ad7P4/cNsNSME42Uip7vUJQLVCMF4+XNUX2oTgUpiUl18ip1pT0tpGG0QgicCRlzY5oK0PQu4P7AWuCy9Lh5mq34hGD8TOd2lLhGYXAjGz5/jVHq1iMDEMak2PkXUKgIT1imNC0GVW71CMFkmcrpLXSIwmRBMlj+bFoLCSrSStKkmPkXUKgIT1illhSDbA2XdJOAPiznjE/C5rQbT/UVrIrn8b/JhNBeC+wh0uZA5TRNwERjMtIgAMHUiAC4EiUCXC5nTNAEXgcFMkwjkoGkRABcCup6JnKYJdFsEQgabvdZdBIpogwjAzAtBoMuZyGmaQPdFIN8EeC4CxbRFBGCmhSDQ5UzkNE1gOkQgz/KqLgLFtEkEYGaFINDlTOQ0TWB6RKB6+90XgZDBZq/1dokAMIvPEVQzztifI5g+2jJOvc5ZUKt+jmCih61KpU3e8jtnv8qYTByfCcCfI+hHoMtXEk7TBOppSXpLYNAveHdZJibTty61CFpwJeG0mjpaAuVaBPny56gT4NXSEpjbCmNST/kts15EbS2BEnEZBj7FxFwg6s1ETnepSwTqF4Ji/4udGb5VNvdOYUxmtLtsmC/DXHUhmAvE1onc2JWE02rqEoF6hWC4/8XOFG+VTsBWGJN6ym/VQpC7pTQMF4L7AtGiKwmn1dQlAvUJQTn/i50ZvFU+C2ctMSkXn3FjkiU+E1BWCGbgZnE3b7w5TRPodvoGun1jODcBj89mZkAIVmWwGeh2JeEUE+j26LKAV3JFBDw+WzIDQlA1AReBaSbQ5WkdvJIbRsDjszXZhEDSJyXdIOnHPfsWSzpH0mXpdfdcv5+HgIvANBPo8jh1r+SGEfD49Cdni+DTwBHz9q0B1prZ/sRlKtdk/P2KCbgITDvdndah65Vc8O6yZpngXvbQDVgB/Ljn86XAsvR+GXBpGTvNLF5fbnTBSKMNnFbTltFlOfPnOKOG6lqjt9qYTBafYTHJOnpq/jYBtGH4aB8huGXe8ZvL2GlWCEbLRE53qUsEqhWC0fLnqHm21oXas6TNePEpdmaA/5niMwmdFwJgNbAeWL98+fIJAlFvJnK6S10iUJ0QjJ4/R82ztS7UXnnajB+fYmcG+J8pPpPQViHoUNfQeJnI6S51iUA1QjBe/hzVl9pEoJKYVBefYmfa01IaRluF4CRgTXq/Bnh/GTv1C8H4mcjpLnWJwORCMH7+HKfSq0UEJo5JtfEpolYRmLBOaVwIgNOAjcDdwNXA8cD9iaOFLkuvi8vYqlcIJstETnepSwQmE4LJ8mfTQlBYiVaSNtXEp4haRWDCOqVxIahyq08IJs9ETnepSwTGF4LJ82eTQjD0SnritKkuPkXUKgIT1illhcCfLL6PgD8n4IxPoMvPCeSm+4vWbCbXcxRNPofgQgB0vZA5TRNwERjMNIlADpoWAXAhoOuZyGmaQLdFIGSw2WvdRaCINogAzLwQBLqciZymCXRfBPJNgOciUExbRABmWggCXc5ETtMEpkMEurpQe6DL5bdNIgAzKwSBLmcip2kC0yMC1dvvvgiEDDZ7rbdLBIBZHD5a3RAzHz46XdQ5RLHYjxYtrzpiaZ3oYatSaZO3/M7ZrzImE8dnAvDho/0IdPlKwmmaQD0tSW8JDPoF7y7LxGT61qUWQQuuJJxWU0dLoFyLIF/+bPVC7YUxqaf8ztmvIiZ1tJSGgT9ZPBeJ7kwQ5TRLXSJQvxAU+1/szPCtsvJVGJMZ7S4b5sswV10IIl2aIMpplrpEoF4hGO5/sTPFW6XlqzAm1cZ/WHwmiUnl8ZkAF4JElyaIcpqlLhGoTwjK+V/szOCt8ousWmJSLj7jxiRLfCbAhSDRpQminGapSwTqEYLy/hc703/L0tLOHpPy8RknJtniMwEuBPdFovpt3Kl0nXZTlwgw5F5SnSIwTqWXrbs1a0xGi8+oMckanwkoKwQzNnx0clo9BMypgECXp3Xo/hDR3AQ8Pn2oQK+yb21pEZRSeqez1DlEsdiPye2Pcl6xM5u33AMv8sRkvPiUjUkt8ZkAvGtoLhLVbKUT2eksbRmnXqcIlK306hh9V31Mxo9PmZjUIgIT1imtFgLgCOJC9j8lrWFctDUtBCMlstNZ2jJOvU4RKFPp1TUEu9qYTBafYTGpTQQmrFNaKwTAtsD/AA8GtgN+CDy86JwmhWDkRHY6S10iUK0Q9LdflRC05WHMOkVgFCFouqU0jDYLwaHA13o+vxV4a9E5TQlB3RNEOc1SlwhUJwSD7VdV6bXlYcw6RaCsELShpTSMskKg+N36kPR84Agz++P0+aXAIWb2mnnfWw2sTh8PIHYlzSpLgBubdqJleEy2xmOyNbMek33NbOmwLy2ow5N5qM++rdTIzE4GTs7vTvuRtN7MVjbtR5vwmGyNx2RrPCblaOI5gquBfXo+7w1c24AfjuM4Ds0IwfeB/SU9SNJ2wIuArzTgh+M4jkMDXUNmdo+k1wBfI44g+qSZXVS3Hx3Du8i2xmOyNR6TrfGYlKD2m8WO4zhOu/C5hhzHcWYcFwLHcZwZx4WgpUjaR9I6SRdLukjSCU371BYkbSvpB5LObtqXNiBpN0lfknRJyi+HNu1TG5D0hlR2fizpNEnbN+1TW3EhaC/3AG8ys4cBjwdeLenhDfvUFk4ALm7aiRbxEeCrZvZQ4EA8Nkh6IPA6YKWZPZI4MOVFzXrVXlwIWoqZbTSz89P724mF+4HNetU8kvYGng18omlf2oCkXYAnA/8IYGZ3mdktzXrVGhYAO0haAOyIP680EBeCDiBpBfBo4NxmPWkFHwbeDPymaUdawoOBTcCnUnfZJyTt1LRTTWNm1wAfAK4CNgK3mtnXm/WqvbgQtBxJOwP/BLzezG5r2p8mkXQkcIOZnde0Ly1iAXAw8Pdm9mjgDmBNsy41j6TdgaOABwF7ATtJekmzXrUXF4IWI2khUQRONbMvN+1PC3gC8FxJVwBfAJ4q6XPNutQ4VwNXm9lca/FLRGGYdZ4G/MzMNpnZ3cCXgcMa9qm1uBC0FEki9vtebGYfbNqfNmBmbzWzvc1sBfHG3zfMbKav8szsOmCDpAPSrsOBnzToUlu4Cni8pB1TWTocv4k+kCZmH3XK8QTgpcCFki5I+95mZv/aoE9OO3ktcGqau+ty4GUN+9M4ZnaupC8B5xNH4P0An25iID7FhOM4zozjXUOO4zgzjguB4zjOjONC4DiOM+O4EDiO48w4LgSOMwaSflfSgU374ThV4ELgOAlJb0+zVf5I0gWSDin4+reAN0nary7/HCcXPnzUcYA0dfMHgVVm9mtJS4DtzMwnKnOmHm8ROE5kGXCjmf0awMxuNLNrJT1W0rcl/VDS9yQtSushnCTp+5IulPRKAEmrJIWetQFOTU+1Iukxkr4p6TxJX5O0rMH/6jhb4C0Cx+G+yf2+RZyu+N+BLwLfAS4BXmhm309TPt8JvBzY08z+Ki128m3g+cBy4CzgEcQpj/8L+DPirLHfBI4ys02SXgg8w8xeXud/dJxB+BQTjgOY2S8kPQZ4EvA7RCF4N7DRzL6fvnMbxBvFwIMkHZ5O3444HfQ9wPfM7Or0vQuAFcAtwCOBc1IDYVvi1MiO0wpcCBwnYWb3AgEIki4EXg30azILeLuZfXWLndIq4Nc9u+4lljEBF5mZLyHptBK/R+A4gKQDJO3fs+sg4myVe0l6bPrOorTa1deAV6VpwufOLVoM5lJg6dxawpIWSnpElj/iOGPgLQLHiewM/I2k3YhdPD8FVgOfSvt3AH5JnOf+E8Qun/PTzeBNwNGDDJvZXZKeD/xfSbsSy92HgYvy/R3HKY/fLHYcx5lxvGvIcRxnxnEhcBzHmXFcCBzHcWYcFwLHcZwZx4XAcRxnxnEhcBzHmXFcCBzHcWac/w824SSNMr5UwwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "affichepourcentagepersoneparacteparscenes(2,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "affichepourcentagepersoneparacteparscenes(4,5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "affichepourcentagepersoneparacteparscenes(6,7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "affichepourcentagepersoneparacteparscenes(8,9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "affichepourcentagepersoneparacteparscenes(10,11)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "affichepourcentagepersoneparacteparscene(12)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}