{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sujet 5: Analyse des dialogues dans l'Avare de Molière"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "J'ai choisi de partir du format markdown."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import urllib.request    \n",
    "data_url = \"http://dramacode.github.io/markdown/moliere_avare.txt\"\n",
    "data_file = \"moliere_avare.txt\"\n",
    "if not os.path.exists(data_file):\n",
    "    urllib.request.urlretrieve(data_url, data_file)\n",
    "text=open(data_file,'r')\n",
    "#text.readlines() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Je voudrais faire un dataframe contenant pour chaque scène les interventions de chaque personnage. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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
}