{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Analyse des dialogues dans l'Avare de Molière" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Auteur : Emile Pierret" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nous proposons d'étudier la part de dialogue de chacun des personnages de l'Avare de Molière." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "import isoweek\n", "import os" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'/home/jovyan/work/module3/exo3'" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "os.getcwd()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "data_url = \"http://dramacode.github.io/markdown/moliere_avare.txt\"" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "ename": "FileNotFoundError", "evalue": "[Errno 2] No such file or directory: ' moliere_avare.txt'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfichier\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\" moliere_avare.txt\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"r\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: ' moliere_avare.txt'" ] } ], "source": [ "fichier = open(\" moliere_avare.txt\", \"r\")" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['exercice_python_en.org',\n", " 'exercice_fr.ipynb',\n", " 'exercice.ipynb',\n", " 'exercice_fr.Rmd',\n", " 'exercice_python_fr.org',\n", " 'exercice_R_en.org',\n", " 'exercice_R_fr.org',\n", " 'exercice_en.Rmd',\n", " 'exercice_en.ipynb',\n", " '.ipynb_checkpoints']" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "os.listdir()" ] }, { "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 }