diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..6f2da4058a21dbfc5f55a0aed6ff822f6e26ce3b 100644 --- a/module3/exo3/exercice.ipynb +++ b/module3/exo3/exercice.ipynb @@ -1,6 +1,2468 @@ { - "cells": [], + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "FrTmjbt6J-Mb" + }, + "source": [ + "# Analysis of the dialogs in \"L'avare\" of Molière\n", + "Student : Hugo Alexander Gonzalez Reyes" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Hstvx_-lLKzB" + }, + "source": [ + "## 1. \n", + "Classify the characters according to their amount of speech using a syntactic analysis of the text (scenes / lines / words). In particular, which character speaks the most? Which one does not speak at all? Note that the names of the characters are not necessarily uniform, case and the presence of accents may vary, for example." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "SUXKCVGJM31_" + }, + "source": [ + "Before doing any work let's install and import all the libraries that we will use trought the document." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "3YBzlxmQNGC_", + "outputId": "e1c962a4-ba6f-4467-eea8-cb03877160ec" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting numpy\n", + " Downloading numpy-1.19.4-cp36-cp36m-manylinux2010_x86_64.whl (14.5 MB)\n", + "\u001b[K |████████████████████████████████| 14.5 MB 11.8 MB/s eta 0:00:01 |███ | 1.3 MB 11.8 MB/s eta 0:00:02\n", + "\u001b[?25hInstalling collected packages: numpy\n", + " Attempting uninstall: numpy\n", + " Found existing installation: numpy 1.15.2\n", + " Uninstalling numpy-1.15.2:\n", + " Successfully uninstalled numpy-1.15.2\n", + "Successfully installed numpy-1.19.4\n", + "Requirement already satisfied: urllib3 in /opt/conda/lib/python3.6/site-packages (1.25.7)\n", + "Collecting pandas\n", + " Downloading pandas-1.1.5-cp36-cp36m-manylinux1_x86_64.whl (9.5 MB)\n", + "\u001b[K |████████████████████████████████| 9.5 MB 9.1 MB/s eta 0:00:01 |▏ | 40 kB 9.3 MB/s eta 0:00:02 |██████▎ | 1.9 MB 9.1 MB/s eta 0:00:01\n", + "\u001b[?25hRequirement already satisfied, skipping upgrade: pytz>=2017.2 in /opt/conda/lib/python3.6/site-packages (from pandas) (2019.3)\n", + "Requirement already satisfied, skipping upgrade: python-dateutil>=2.7.3 in /opt/conda/lib/python3.6/site-packages (from pandas) (2.8.1)\n", + "Requirement already satisfied, skipping upgrade: numpy>=1.15.4 in /opt/conda/lib/python3.6/site-packages (from pandas) (1.19.4)\n", + "Requirement already satisfied, skipping upgrade: six>=1.5 in /opt/conda/lib/python3.6/site-packages (from python-dateutil>=2.7.3->pandas) (1.14.0)\n", + "Installing collected packages: pandas\n", + " Attempting uninstall: pandas\n", + " Found existing installation: pandas 0.22.0\n", + " Uninstalling pandas-0.22.0:\n", + " Successfully uninstalled pandas-0.22.0\n", + "Successfully installed pandas-1.1.5\n", + "Collecting nltk\n", + " Downloading nltk-3.5.zip (1.4 MB)\n", + "\u001b[K |████████████████████████████████| 1.4 MB 8.9 MB/s eta 0:00:01\n", + "\u001b[?25hCollecting click\n", + " Downloading click-7.1.2-py2.py3-none-any.whl (82 kB)\n", + "\u001b[K |████████████████████████████████| 82 kB 1.5 MB/s eta 0:00:01\n", + "\u001b[?25hCollecting joblib\n", + " Downloading joblib-1.0.0-py3-none-any.whl (302 kB)\n", + "\u001b[K |████████████████████████████████| 302 kB 38.6 MB/s eta 0:00:01\n", + "\u001b[?25hCollecting regex\n", + " Downloading regex-2020.11.13-cp36-cp36m-manylinux2014_x86_64.whl (723 kB)\n", + "\u001b[K |████████████████████████████████| 723 kB 52.7 MB/s eta 0:00:01\n", + "\u001b[?25hRequirement already satisfied: tqdm in /opt/conda/lib/python3.6/site-packages (from nltk) (4.42.0)\n", + "Building wheels for collected packages: nltk\n", + " Building wheel for nltk (setup.py) ... \u001b[?25ldone\n", + "\u001b[?25h Created wheel for nltk: filename=nltk-3.5-py3-none-any.whl size=1434677 sha256=4f3ac817fb65d53c5d646f3941665e07f8a172791b9fd2b682ea46a2469e2d53\n", + " Stored in directory: /home/jovyan/.cache/pip/wheels/de/5e/42/64abaeca668161c3e2cecc24f864a8fc421e3d07a104fc8a51\n", + "Successfully built nltk\n", + "Installing collected packages: click, joblib, regex, nltk\n", + "Successfully installed click-7.1.2 joblib-1.0.0 nltk-3.5 regex-2020.11.13\n", + "Requirement already satisfied: pandas in /opt/conda/lib/python3.6/site-packages (1.1.5)\n", + "Collecting plotnine\n", + " Downloading plotnine-0.7.1-py3-none-any.whl (4.4 MB)\n", + "\u001b[K |████████████████████████████████| 4.4 MB 12.7 MB/s eta 0:00:01\n", + "\u001b[?25hRequirement already satisfied: numpy>=1.15.4 in /opt/conda/lib/python3.6/site-packages (from pandas) (1.19.4)\n", + "Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/lib/python3.6/site-packages (from pandas) (2.8.1)\n", + "Requirement already satisfied: pytz>=2017.2 in /opt/conda/lib/python3.6/site-packages (from pandas) (2019.3)\n", + "Collecting matplotlib>=3.1.1\n", + " Downloading matplotlib-3.3.3-cp36-cp36m-manylinux1_x86_64.whl (11.6 MB)\n", + "\u001b[K |████████████████████████████████| 11.6 MB 23.6 MB/s eta 0:00:01\n", + "\u001b[?25hRequirement already satisfied: patsy>=0.5.1 in /opt/conda/lib/python3.6/site-packages (from plotnine) (0.5.1)\n", + "Collecting mizani>=0.7.1\n", + " Downloading mizani-0.7.2-py3-none-any.whl (62 kB)\n", + "\u001b[K |████████████████████████████████| 62 kB 1.6 MB/s eta 0:00:01\n", + "\u001b[?25hCollecting descartes>=1.1.0\n", + " Downloading descartes-1.1.0-py3-none-any.whl (5.8 kB)\n", + "Collecting statsmodels>=0.11.1\n", + " Downloading statsmodels-0.12.1-cp36-cp36m-manylinux1_x86_64.whl (9.5 MB)\n", + "\u001b[K |████████████████████████████████| 9.5 MB 17.7 MB/s eta 0:00:01\n", + "\u001b[?25hCollecting scipy>=1.2.0\n", + " Downloading scipy-1.5.4-cp36-cp36m-manylinux1_x86_64.whl (25.9 MB)\n", + "\u001b[K |████████████████████████████████| 25.9 MB 92 kB/s s eta 0:00:01\n", + "\u001b[?25hRequirement already satisfied: six>=1.5 in /opt/conda/lib/python3.6/site-packages (from python-dateutil>=2.7.3->pandas) (1.14.0)\n", + "Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.6/site-packages (from matplotlib>=3.1.1->plotnine) (0.10.0)\n", + "Requirement already satisfied: pillow>=6.2.0 in /opt/conda/lib/python3.6/site-packages (from matplotlib>=3.1.1->plotnine) (7.0.0)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /opt/conda/lib/python3.6/site-packages (from matplotlib>=3.1.1->plotnine) (2.4.6)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/lib/python3.6/site-packages (from matplotlib>=3.1.1->plotnine) (1.1.0)\n", + "Collecting palettable\n", + " Downloading palettable-3.3.0-py2.py3-none-any.whl (111 kB)\n", + "\u001b[K |████████████████████████████████| 111 kB 44.7 MB/s eta 0:00:01\n", + "\u001b[?25hRequirement already satisfied: setuptools in /opt/conda/lib/python3.6/site-packages (from kiwisolver>=1.0.1->matplotlib>=3.1.1->plotnine) (45.2.0.post20200209)\n", + "Installing collected packages: matplotlib, palettable, mizani, descartes, scipy, statsmodels, plotnine\n", + " Attempting uninstall: matplotlib\n", + " Found existing installation: matplotlib 2.2.3\n", + " Uninstalling matplotlib-2.2.3:\n", + " Successfully uninstalled matplotlib-2.2.3\n", + " Attempting uninstall: scipy\n", + " Found existing installation: scipy 1.1.0\n", + " Uninstalling scipy-1.1.0:\n", + " Successfully uninstalled scipy-1.1.0\n", + " Attempting uninstall: statsmodels\n", + " Found existing installation: statsmodels 0.9.0\n", + " Uninstalling statsmodels-0.9.0:\n", + " Successfully uninstalled statsmodels-0.9.0\n", + "Successfully installed descartes-1.1.0 matplotlib-3.3.3 mizani-0.7.2 palettable-3.3.0 plotnine-0.7.1 scipy-1.5.4 statsmodels-0.12.1\n", + "Requirement already satisfied: networkx in /opt/conda/lib/python3.6/site-packages (2.4)\n", + "Requirement already satisfied: decorator>=4.3.0 in /opt/conda/lib/python3.6/site-packages (from networkx) (4.4.1)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[nltk_data] Downloading package punkt to /home/jovyan/nltk_data...\n", + "[nltk_data] Unzipping tokenizers/punkt.zip.\n" + ] + } + ], + "source": [ + "#It is better to be sure that we have all the required pakages\n", + "!pip install numpy --upgrade\n", + "!pip install urllib3\n", + "!pip install pandas --upgrade\n", + "!pip install nltk\n", + "!pip install pandas plotnine\n", + "!pip install networkx\n", + "\n", + "import urllib.request #library to make web requests and retrieve files\n", + "import unicodedata #built-in tool to work with different text formats (e.g. UTF-8)\n", + "import pandas as pd #library that allows to work with dataframes\n", + "import numpy as np #library that provides tools to work with matrices\n", + "import string #built-in tool to work with strings\n", + "import nltk #tokenizer library\n", + "nltk.download('punkt') #download the tokenizer models\n", + "from plotnine import * #library to plot the text analisys\n", + "import networkx as nx #graphs library\n", + "import matplotlib.pyplot as plt # library to plot the graphs built with networkx" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ntDYq3TKS5oH" + }, + "source": [ + "With the enviroment set and done we proceed to download the book. We convert the document to a readable format and we print a fragment of it." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "vTesI8XBDMY-", + "outputId": "d3ead83a-1f3f-4622-ab9f-05f2bf7825ba" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "---\n", + "identifier: moliere_avare \n", + "creator: Molière. \n", + "date: 1668 \n", + "title: L'Avare. Comédie \n", + "---\n", + "L'AVARE,\n", + "COMÉDIE.\n", + "Par J.B.P. MOLIÈRE.\n", + "À PARIS, Chez JEAN RIBOU, au Palais, vis à vis la Porte de l'Église de la Sainte Chapelle, à l'Image Saint-Louis. M. DC. LXIX. *AVEC PRIVILÈGE DU ROI*\n", + "# ACTEURS.\n", + " – Harpagon, Père de Cléante et d'Élise, et Amoureux de Mariane.\n", + " – Cléante, Fils d'Harpagon, Amant de Mariane.\n", + " – Élise, Fille d'Harpagon, Amante de Valère.\n", + " – Valère, Fils d'Anselme, et Amant d'Élise.\n", + " – Mariane, Amante de Cléante, et aimée d'Harpagon.\n", + " – Anselme, Père de Valère et de Mariane.\n", + " – Frosine, Femme d'Intrigue.\n", + " – Maitre Simon, Courtier.\n", + " – Maitre Jacques, Cuisinier et Cocher d'Harpagon.\n", + " – La Flèche, Valet de Cléante.\n", + " – Dame Claude, Servante d'Harpagon.\n", + " – Brindavoine, laquais d'Harpagon.\n", + " – La Merluche, laquais d'Harpagon.\n", + " – Le commissaire, et son clerc.\n", + "La Scène est à Paris.\n", + "# L'Avare, *Comédie.*.\n", + "## Acte Premier.\n", + "### Scène Première.\n", + "Valère, Élise\n", + " VALÈRE.\n", + "Hé quoi, charmante Élise, vous devenez mélancolique, après les obligeantes assurances que vous avez eu la bonté de me donner de votre foi ?Je vous vois soupirer, hélas, au milieu de ma joie !Est-ce du regret, dites-moi, de m'avoir fait heureux ? et vous repentez-vous de cet engagement où mes feux ont pu vous contraindre ?\n", + " ÉLISE.\n", + "Non, Valère, je ne puis pas me repentir de tout ce que je fais pour vous. Je m'y sens entraîner par une trop douce puissance, et je n'ai pas même la force de souhaiter que les choses ne fussent pas. Mais, à vous dire vrai, le succès me donne de l'inquiétude ; et je crains fort de vous aimer un peu plus que je ne devrais.\n", + " VALÈRE.\n", + "Hé que pouvez-vous craindre, Élise, dans les bontés que vous avez pour moi ?\n", + " ÉLISE.\n", + "Hélas ! cent choses à la fois : L'emportement d'un Père ; les reproches d'une Famille ; les censures du monde ; mais plus que tout, Valère, le changement de votre cœur ; et cette froideur criminelle dont ceux de votre Sexe payent le plus souvent les témoignages trop ardents d'une innocente amour.\n", + " VALÈRE.\n", + "Ah ! ne me faites pas ce tort, de juger de moi par les autres.Soupçonnez-moi de tout, Élise, plutôt que de manquer à ce que je vous dois.Je vous aime trop pour cela ; et mon amour pour vous, durera autant que ma vie.\n", + "\n" + ] + } + ], + "source": [ + "url = \"http://dramacode.github.io/markdown/moliere_avare.txt\"\n", + "\n", + "file = urllib.request.urlopen(url)\n", + "readable_doc = []\n", + "for line in file:\n", + " decoded_line = line.decode(\"utf-8\") #we decode the line\n", + " decoded_line = unicodedata.normalize(\"NFKD\", decoded_line) #we normalize some weird characters that might appear when working with strings\n", + " if decoded_line != '\\n':\n", + " readable_doc.append(decoded_line) \n", + "print(''.join(readable_doc[0:40]))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "c0KxOFhwWEDb" + }, + "source": [ + "We observe that the book follows a structure.\n", + "* Each act is announced with a \"##\".\n", + "* Each scene is announced with a \"###\".\n", + "* The line after the scene presents all the actors playing in it.\n", + "* For each dialog, the name of the actor is shown starting with four blank spaces and followed by their corresponding lines.\n", + "\n", + "Following this guidelines we can make a first list structure of the whole text." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "_BX4QcBxTGhn", + "outputId": "fbb1a7eb-19b6-4043-9366-846bd4b9ab9c" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['Premier', 'Première', 'VALÈRE, ÉLISE', 'VALÈRE', \"Hé quoi, charmante Élise, vous devenez mélancolique, après les obligeantes assurances que vous avez eu la bonté de me donner de votre foi ?Je vous vois soupirer, hélas, au milieu de ma joie !Est-ce du regret, dites-moi, de m'avoir fait heureux ? et vous repentez-vous de cet engagement où mes feux ont pu vous contraindre ?\"]\n", + "['Premier', 'Première', 'VALÈRE, ÉLISE', 'ÉLISE', \"Non, Valère, je ne puis pas me repentir de tout ce que je fais pour vous. Je m'y sens entraîner par une trop douce puissance, et je n'ai pas même la force de souhaiter que les choses ne fussent pas. Mais, à vous dire vrai, le succès me donne de l'inquiétude ; et je crains fort de vous aimer un peu plus que je ne devrais.\"]\n" + ] + } + ], + "source": [ + "acte = \"\"\n", + "scene = \"\"\n", + "acteur = \"\"\n", + "set_acteurs = \"\"\n", + "dialogues = []\n", + "\n", + "start = False\n", + "save_aut_set = False\n", + "\n", + "for decoded_line in readable_doc:\n", + " if save_aut_set:\n", + " set_acteurs = decoded_line.replace(\"\\n\",\"\").replace(\".\",\"\").strip().upper()\n", + " save_aut_set = False\n", + " if decoded_line[:3] == \"###\":\n", + " start = False \n", + " scene = decoded_line[4:-2].replace(\"Scène \",\"\").strip()\n", + " save_aut_set = True\n", + " elif decoded_line[:2] == \"##\":\n", + " acte = decoded_line[3:-2].replace(\"Acte \",\"\").strip()\n", + " elif decoded_line[:4] == \" \":\n", + " start = True\n", + " acteur = decoded_line.strip()[:-1]\n", + " elif start:\n", + " dialogues.append([acte, scene, set_acteurs, acteur,decoded_line.replace(\"\\n\",\"\")])\n", + "print(dialogues[0])\n", + "print(dialogues[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "73p48k8-YMpB" + }, + "source": [ + "We can proceed to build the dataframe to process this structure" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "id": "Jtafl5qBEHhJ" + }, + "outputs": [], + "source": [ + "df = pd.DataFrame(dialogues, columns=[\"acte\", \"scene\",\"set_acteurs\" ,\"acteur\",\"text\"])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "F26xcuE0bsUx" + }, + "source": [ + "### Cleaning data" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "G5riMa_uYUch" + }, + "source": [ + "First thing we can do is to normalize the acts and scenes in the document. We use roman numbers for all of them." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "yqrMLDSMFOPQ", + "outputId": "042f0653-cda7-4cca-acfc-a3120de4cbac" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['Premier', 'II', 'III', 'IV', 'V']\n", + "['I', 'II', 'III', 'IV', 'V']\n" + ] + } + ], + "source": [ + "print(df[\"acte\"].unique().tolist())\n", + "df.loc[df.acte == \"Premier\", \"acte\"] = \"I\"\n", + "print(df[\"acte\"].unique().tolist())" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "xiNJ5UfXF5V3", + "outputId": "9ddfaf55-216c-4606-afc9-61f4891415c7" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['Première', 'II', 'III', 'IV', 'V', 'VI', 'VII', 'VIII', 'IX']\n", + "['I', 'II', 'III', 'IV', 'V', 'VI', 'VII', 'VIII', 'IX']\n" + ] + } + ], + "source": [ + "print(df[\"scene\"].unique().tolist())\n", + "df.loc[df.scene == \"Première\", \"scene\"] = \"I\"\n", + "print(df[\"scene\"].unique().tolist())" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "aBaQWxtvYfCh" + }, + "source": [ + "The roman numbers are good to display the values, but to make the processing of the document easier we add columns with integers for each act and scene" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 423 + }, + "id": "xh-tL3p2CIVh", + "outputId": "5c2073a8-aec3-48ec-baae-54e85c0a3baa" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
actesceneset_acteursacteurtextacte_nscene_n
0IIVALÈRE, ÉLISEVALÈREHé quoi, charmante Élise, vous devenez méla...11
1IIVALÈRE, ÉLISEÉLISENon, Valère, je ne puis pas me repentir de to...11
2IIVALÈRE, ÉLISEVALÈREHé que pouvez-vous craindre, Élise, dans les...11
3IIVALÈRE, ÉLISEÉLISEHélas ! cent choses à la fois : L'emportemen...11
4IIVALÈRE, ÉLISEVALÈREAh ! ne me faites pas ce tort, de juger de moi...11
........................
1002VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...MAÎTRE JACQUESHélas ! comment faut-il donc faire ? On me do...56
1003VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...ANSELMESeigneur Harpagon, il faut lui pardonner cette...56
1004VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...HARPAGONVous payerez donc le Commissaire ?56
1005VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...ANSELMESoit. Allons vite faire part de notre joie à ...56
1006VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...HARPAGONEt moi, voir ma chère Cassette.< Fin >56
\n", + "

1007 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " acte scene set_acteurs \\\n", + "0 I I VALÈRE, ÉLISE \n", + "1 I I VALÈRE, ÉLISE \n", + "2 I I VALÈRE, ÉLISE \n", + "3 I I VALÈRE, ÉLISE \n", + "4 I I VALÈRE, ÉLISE \n", + "... ... ... ... \n", + "1002 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "1003 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "1004 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "1005 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "1006 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "\n", + " acteur text \\\n", + "0 VALÈRE Hé quoi, charmante Élise, vous devenez méla... \n", + "1 ÉLISE Non, Valère, je ne puis pas me repentir de to... \n", + "2 VALÈRE Hé que pouvez-vous craindre, Élise, dans les... \n", + "3 ÉLISE Hélas ! cent choses à la fois : L'emportemen... \n", + "4 VALÈRE Ah ! ne me faites pas ce tort, de juger de moi... \n", + "... ... ... \n", + "1002 MAÎTRE JACQUES Hélas ! comment faut-il donc faire ? On me do... \n", + "1003 ANSELME Seigneur Harpagon, il faut lui pardonner cette... \n", + "1004 HARPAGON Vous payerez donc le Commissaire ? \n", + "1005 ANSELME Soit. Allons vite faire part de notre joie à ... \n", + "1006 HARPAGON Et moi, voir ma chère Cassette.< Fin > \n", + "\n", + " acte_n scene_n \n", + "0 1 1 \n", + "1 1 1 \n", + "2 1 1 \n", + "3 1 1 \n", + "4 1 1 \n", + "... ... ... \n", + "1002 5 6 \n", + "1003 5 6 \n", + "1004 5 6 \n", + "1005 5 6 \n", + "1006 5 6 \n", + "\n", + "[1007 rows x 7 columns]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "conditions_a = [\n", + " (df['acte'] == \"I\"),\n", + " (df['acte'] == \"II\"),\n", + " (df['acte'] == \"III\"),\n", + " (df['acte'] == \"IV\"),\n", + " (df['acte'] == \"V\"),\n", + " (df['acte'] == \"VI\"),\n", + " (df['acte'] == \"VII\"),\n", + " (df['acte'] == \"VIII\"),\n", + " (df['acte'] == \"IX\"),\n", + " ]\n", + "conditions_s = [\n", + " (df['scene'] == \"I\"),\n", + " (df['scene'] == \"II\"),\n", + " (df['scene'] == \"III\"),\n", + " (df['scene'] == \"IV\"),\n", + " (df['scene'] == \"V\"),\n", + " (df['scene'] == \"VI\"),\n", + " (df['scene'] == \"VII\"),\n", + " (df['scene'] == \"VIII\"),\n", + " (df['scene'] == \"IX\"),\n", + " ]\n", + "\n", + "# create a list of the values we want to assign for each condition\n", + "values = [1,2,3,4,5,6,7,8,9]\n", + "\n", + "# create a new column and use np.select to assign values to it using our lists as arguments\n", + "df['acte_n'] = np.select(conditions_a, values)\n", + "df['scene_n'] = np.select(conditions_s, values)\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "JSGr7tNDZAsy" + }, + "source": [ + "When we check the list of actors in our dataframe, we find that some of them were written with some action added to it. We proceed to clean the records and we print againt to see if we have the list we want." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "QDXCBwYqF9Tr", + "outputId": "80075990-d1e8-4ea5-90ea-4fb79948dc09" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['VALÈRE', 'ÉLISE', 'CLÉANTE', 'HARPAGON', 'LA FLÈCHE', 'LA FLÈCHE *lui montrant une des poches de son justaucorps*', 'MAÎTRE SIMON', 'FROSINE', 'MAÎTRE JACQUES', 'LA MERLUCHE', 'BRINDAVOINE', 'HARPAGON, *en lui mettant la main sur la bouche*', 'HARPAGON *en le battant*', 'MARIANE', 'MARIANE *bas à Frosine*', 'MARIANE *à part*', 'MARIANE *à part à Frosine*', 'FROSINE *à Mariane*', 'HARPAGON *bas à Valère*', 'VALÈRE *à Harpagon*', 'HARPAGON *à part à son fils*', 'HARPAGON *à part*', 'CLÉANTE *en empêchant toujours Mariane de rendre la Bague*', 'HARPAGON *bas à son fils*', 'HARPAGON *bas à son Fils, en le menaçant*', 'HARPAGON *bas à son Fils, avec emportement*', 'HARPAGON *bas à son Fils, avec les mêmes grimaces*', 'LA FLÈCHE *sortant du Jardin, avec une Cassette*', 'LE COMMISSAIRE', 'MAÎTRE JACQUES *au bout du théâtre, en se retournant du côté dont il sort*', 'MAÎTRE JACQUES, *à part*', 'ÉLISE, *à genoux devant son père*', 'ANSELME', 'VALÈRE, *en mettant fièrement son Chapeau*']\n", + "['VALÈRE', 'ÉLISE', 'CLÉANTE', 'HARPAGON', 'LA FLÈCHE', 'MAÎTRE SIMON', 'FROSINE', 'MAÎTRE JACQUES', 'LA MERLUCHE', 'BRINDAVOINE', 'MARIANE', 'LE COMMISSAIRE', 'ANSELME']\n" + ] + } + ], + "source": [ + "print(df[\"acteur\"].unique().tolist())\n", + "df.acteur = df.acteur.map(lambda a: a if \"*\" not in a else (a[:a.find('*')]).replace(',','').strip())\n", + "print(df[\"acteur\"].unique().tolist())" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8enyE6NkZpga" + }, + "source": [ + "In the text part we observe that there are parts that don't correspond to the lines of the actor. For example, brackets that signal the end of the scene. Thus, we find those lines and clean them." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "iJy82qZkbLKx", + "outputId": "66f37e64-c142-42c1-a1b3-d3b924feddcf" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "268 Fin du Premier Acte.\n", + "422 Fin du Second Acte.\n", + "638 Ô fils impertinent, as-tu envie de me ruiner ...\n", + "803 Fin du Quatrième Acte.\n", + "1006 Et moi, voir ma chère Cassette.< Fin >\n", + "Name: text, dtype: object" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[(df['text'].str.contains(\"Fin du\")) | (df['text'].str.contains(\"<\"))]['text']" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "id": "ChP_i7YRQUd6" + }, + "outputs": [], + "source": [ + "df.text = df.text.map(lambda a: a if \"<\" not in a else (a[:a.find('<')]))\n", + "df = df.drop(df[df['text'].str.contains(\"Fin du\")].index)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "nymhkLGQQKXh" + }, + "source": [ + "### Analysing the dialogues" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "CDaYNzoHb0U6" + }, + "source": [ + "Once the data is cleaned, we proceed to start working with the actual lines from the actors. Although the punctuations are a important part of a script, we will omit them to improve our word analysis. We also set all the text to lowercase to maintain uniformity." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 597 + }, + "id": "8swjAeKFT5is", + "outputId": "998c62cc-83c4-4753-c9fd-d3e4007de1f3" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
actesceneset_acteursacteurtextacte_nscene_nfree_text
0IIVALÈRE, ÉLISEVALÈREHé quoi, charmante Élise, vous devenez méla...11hé quoi charmante élise vous devenez méla...
1IIVALÈRE, ÉLISEÉLISENon, Valère, je ne puis pas me repentir de to...11non valère je ne puis pas me repentir de to...
2IIVALÈRE, ÉLISEVALÈREHé que pouvez-vous craindre, Élise, dans les...11hé que pouvez vous craindre élise dans les...
3IIVALÈRE, ÉLISEÉLISEHélas ! cent choses à la fois : L'emportemen...11hélas cent choses à la fois l emportemen...
4IIVALÈRE, ÉLISEVALÈREAh ! ne me faites pas ce tort, de juger de moi...11ah ne me faites pas ce tort de juger de moi...
...........................
1002VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...MAÎTRE JACQUESHélas ! comment faut-il donc faire ? On me do...56hélas comment faut il donc faire on me do...
1003VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...ANSELMESeigneur Harpagon, il faut lui pardonner cette...56seigneur harpagon il faut lui pardonner cette...
1004VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...HARPAGONVous payerez donc le Commissaire ?56vous payerez donc le commissaire
1005VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...ANSELMESoit. Allons vite faire part de notre joie à ...56soit allons vite faire part de notre joie à ...
1006VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...HARPAGONEt moi, voir ma chère Cassette.56et moi voir ma chère cassette
\n", + "

1004 rows × 8 columns

\n", + "
" + ], + "text/plain": [ + " acte scene set_acteurs \\\n", + "0 I I VALÈRE, ÉLISE \n", + "1 I I VALÈRE, ÉLISE \n", + "2 I I VALÈRE, ÉLISE \n", + "3 I I VALÈRE, ÉLISE \n", + "4 I I VALÈRE, ÉLISE \n", + "... ... ... ... \n", + "1002 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "1003 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "1004 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "1005 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "1006 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "\n", + " acteur text \\\n", + "0 VALÈRE Hé quoi, charmante Élise, vous devenez méla... \n", + "1 ÉLISE Non, Valère, je ne puis pas me repentir de to... \n", + "2 VALÈRE Hé que pouvez-vous craindre, Élise, dans les... \n", + "3 ÉLISE Hélas ! cent choses à la fois : L'emportemen... \n", + "4 VALÈRE Ah ! ne me faites pas ce tort, de juger de moi... \n", + "... ... ... \n", + "1002 MAÎTRE JACQUES Hélas ! comment faut-il donc faire ? On me do... \n", + "1003 ANSELME Seigneur Harpagon, il faut lui pardonner cette... \n", + "1004 HARPAGON Vous payerez donc le Commissaire ? \n", + "1005 ANSELME Soit. Allons vite faire part de notre joie à ... \n", + "1006 HARPAGON Et moi, voir ma chère Cassette. \n", + "\n", + " acte_n scene_n free_text \n", + "0 1 1 hé quoi charmante élise vous devenez méla... \n", + "1 1 1 non valère je ne puis pas me repentir de to... \n", + "2 1 1 hé que pouvez vous craindre élise dans les... \n", + "3 1 1 hélas cent choses à la fois l emportemen... \n", + "4 1 1 ah ne me faites pas ce tort de juger de moi... \n", + "... ... ... ... \n", + "1002 5 6 hélas comment faut il donc faire on me do... \n", + "1003 5 6 seigneur harpagon il faut lui pardonner cette... \n", + "1004 5 6 vous payerez donc le commissaire \n", + "1005 5 6 soit allons vite faire part de notre joie à ... \n", + "1006 5 6 et moi voir ma chère cassette \n", + "\n", + "[1004 rows x 8 columns]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "punct = set(string.punctuation)\n", + "df['free_text']= df['text'].apply(lambda x :''.join(ch.lower() if ch not in punct else ' ' for ch in x ))\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "YymrAyeSdAYD" + }, + "source": [ + "Having this, we can finally tonenize the cleaned text." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 684 + }, + "id": "fOaO-Bg8W09i", + "outputId": "a8f6d7e3-00bd-4622-dfd4-3378712ada27" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
actesceneset_acteursacteurtextacte_nscene_nfree_texttokenized_text
0IIVALÈRE, ÉLISEVALÈREHé quoi, charmante Élise, vous devenez méla...11hé quoi charmante élise vous devenez méla...[hé, quoi, charmante, élise, vous, devenez, ...
1IIVALÈRE, ÉLISEÉLISENon, Valère, je ne puis pas me repentir de to...11non valère je ne puis pas me repentir de to...[non, valère, je, ne, puis, pas, me, repentir...
2IIVALÈRE, ÉLISEVALÈREHé que pouvez-vous craindre, Élise, dans les...11hé que pouvez vous craindre élise dans les...[hé, que, pouvez, vous, craindre, élise, dan...
3IIVALÈRE, ÉLISEÉLISEHélas ! cent choses à la fois : L'emportemen...11hélas cent choses à la fois l emportemen...[hélas, cent, choses, à, la, fois, l, emport...
4IIVALÈRE, ÉLISEVALÈREAh ! ne me faites pas ce tort, de juger de moi...11ah ne me faites pas ce tort de juger de moi...[ah, ne, me, faites, pas, ce, tort, de, juger,...
..............................
1002VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...MAÎTRE JACQUESHélas ! comment faut-il donc faire ? On me do...56hélas comment faut il donc faire on me do...[hélas, comment, faut, il, donc, faire, on, m...
1003VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...ANSELMESeigneur Harpagon, il faut lui pardonner cette...56seigneur harpagon il faut lui pardonner cette...[seigneur, harpagon, il, faut, lui, pardonner,...
1004VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...HARPAGONVous payerez donc le Commissaire ?56vous payerez donc le commissaire[vous, payerez, donc, le, commissaire]
1005VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...ANSELMESoit. Allons vite faire part de notre joie à ...56soit allons vite faire part de notre joie à ...[soit, allons, vite, faire, part, de, notre, j...
1006VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...HARPAGONEt moi, voir ma chère Cassette.56et moi voir ma chère cassette[et, moi, voir, ma, chère, cassette]
\n", + "

1004 rows × 9 columns

\n", + "
" + ], + "text/plain": [ + " acte scene set_acteurs \\\n", + "0 I I VALÈRE, ÉLISE \n", + "1 I I VALÈRE, ÉLISE \n", + "2 I I VALÈRE, ÉLISE \n", + "3 I I VALÈRE, ÉLISE \n", + "4 I I VALÈRE, ÉLISE \n", + "... ... ... ... \n", + "1002 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "1003 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "1004 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "1005 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "1006 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "\n", + " acteur text \\\n", + "0 VALÈRE Hé quoi, charmante Élise, vous devenez méla... \n", + "1 ÉLISE Non, Valère, je ne puis pas me repentir de to... \n", + "2 VALÈRE Hé que pouvez-vous craindre, Élise, dans les... \n", + "3 ÉLISE Hélas ! cent choses à la fois : L'emportemen... \n", + "4 VALÈRE Ah ! ne me faites pas ce tort, de juger de moi... \n", + "... ... ... \n", + "1002 MAÎTRE JACQUES Hélas ! comment faut-il donc faire ? On me do... \n", + "1003 ANSELME Seigneur Harpagon, il faut lui pardonner cette... \n", + "1004 HARPAGON Vous payerez donc le Commissaire ? \n", + "1005 ANSELME Soit. Allons vite faire part de notre joie à ... \n", + "1006 HARPAGON Et moi, voir ma chère Cassette. \n", + "\n", + " acte_n scene_n free_text \\\n", + "0 1 1 hé quoi charmante élise vous devenez méla... \n", + "1 1 1 non valère je ne puis pas me repentir de to... \n", + "2 1 1 hé que pouvez vous craindre élise dans les... \n", + "3 1 1 hélas cent choses à la fois l emportemen... \n", + "4 1 1 ah ne me faites pas ce tort de juger de moi... \n", + "... ... ... ... \n", + "1002 5 6 hélas comment faut il donc faire on me do... \n", + "1003 5 6 seigneur harpagon il faut lui pardonner cette... \n", + "1004 5 6 vous payerez donc le commissaire \n", + "1005 5 6 soit allons vite faire part de notre joie à ... \n", + "1006 5 6 et moi voir ma chère cassette \n", + "\n", + " tokenized_text \n", + "0 [hé, quoi, charmante, élise, vous, devenez, ... \n", + "1 [non, valère, je, ne, puis, pas, me, repentir... \n", + "2 [hé, que, pouvez, vous, craindre, élise, dan... \n", + "3 [hélas, cent, choses, à, la, fois, l, emport... \n", + "4 [ah, ne, me, faites, pas, ce, tort, de, juger,... \n", + "... ... \n", + "1002 [hélas, comment, faut, il, donc, faire, on, m... \n", + "1003 [seigneur, harpagon, il, faut, lui, pardonner,... \n", + "1004 [vous, payerez, donc, le, commissaire] \n", + "1005 [soit, allons, vite, faire, part, de, notre, j... \n", + "1006 [et, moi, voir, ma, chère, cassette] \n", + "\n", + "[1004 rows x 9 columns]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['tokenized_text'] = df.apply(lambda row: nltk.word_tokenize(row['free_text']), axis=1)\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "i8OnTdHVdGjh" + }, + "source": [ + "With the text tonenized for every word, we can count all the tokens to know the ammount of words in each line." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 771 + }, + "id": "BxW1Jo57XnmS", + "outputId": "2aa5f767-4f7d-4637-d61d-2c0e0853e7bc" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
actesceneset_acteursacteurtextacte_nscene_nfree_texttokenized_textnumber_of_words
0IIVALÈRE, ÉLISEVALÈREHé quoi, charmante Élise, vous devenez méla...11hé quoi charmante élise vous devenez méla...[hé, quoi, charmante, élise, vous, devenez, ...58
1IIVALÈRE, ÉLISEÉLISENon, Valère, je ne puis pas me repentir de to...11non valère je ne puis pas me repentir de to...[non, valère, je, ne, puis, pas, me, repentir...68
2IIVALÈRE, ÉLISEVALÈREHé que pouvez-vous craindre, Élise, dans les...11hé que pouvez vous craindre élise dans les...[hé, que, pouvez, vous, craindre, élise, dan...14
3IIVALÈRE, ÉLISEÉLISEHélas ! cent choses à la fois : L'emportemen...11hélas cent choses à la fois l emportemen...[hélas, cent, choses, à, la, fois, l, emport...51
4IIVALÈRE, ÉLISEVALÈREAh ! ne me faites pas ce tort, de juger de moi...11ah ne me faites pas ce tort de juger de moi...[ah, ne, me, faites, pas, ce, tort, de, juger,...45
.................................
1002VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...MAÎTRE JACQUESHélas ! comment faut-il donc faire ? On me do...56hélas comment faut il donc faire on me do...[hélas, comment, faut, il, donc, faire, on, m...23
1003VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...ANSELMESeigneur Harpagon, il faut lui pardonner cette...56seigneur harpagon il faut lui pardonner cette...[seigneur, harpagon, il, faut, lui, pardonner,...8
1004VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...HARPAGONVous payerez donc le Commissaire ?56vous payerez donc le commissaire[vous, payerez, donc, le, commissaire]5
1005VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...ANSELMESoit. Allons vite faire part de notre joie à ...56soit allons vite faire part de notre joie à ...[soit, allons, vite, faire, part, de, notre, j...11
1006VVICLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H...HARPAGONEt moi, voir ma chère Cassette.56et moi voir ma chère cassette[et, moi, voir, ma, chère, cassette]6
\n", + "

1004 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " acte scene set_acteurs \\\n", + "0 I I VALÈRE, ÉLISE \n", + "1 I I VALÈRE, ÉLISE \n", + "2 I I VALÈRE, ÉLISE \n", + "3 I I VALÈRE, ÉLISE \n", + "4 I I VALÈRE, ÉLISE \n", + "... ... ... ... \n", + "1002 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "1003 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "1004 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "1005 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "1006 V VI CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "\n", + " acteur text \\\n", + "0 VALÈRE Hé quoi, charmante Élise, vous devenez méla... \n", + "1 ÉLISE Non, Valère, je ne puis pas me repentir de to... \n", + "2 VALÈRE Hé que pouvez-vous craindre, Élise, dans les... \n", + "3 ÉLISE Hélas ! cent choses à la fois : L'emportemen... \n", + "4 VALÈRE Ah ! ne me faites pas ce tort, de juger de moi... \n", + "... ... ... \n", + "1002 MAÎTRE JACQUES Hélas ! comment faut-il donc faire ? On me do... \n", + "1003 ANSELME Seigneur Harpagon, il faut lui pardonner cette... \n", + "1004 HARPAGON Vous payerez donc le Commissaire ? \n", + "1005 ANSELME Soit. Allons vite faire part de notre joie à ... \n", + "1006 HARPAGON Et moi, voir ma chère Cassette. \n", + "\n", + " acte_n scene_n free_text \\\n", + "0 1 1 hé quoi charmante élise vous devenez méla... \n", + "1 1 1 non valère je ne puis pas me repentir de to... \n", + "2 1 1 hé que pouvez vous craindre élise dans les... \n", + "3 1 1 hélas cent choses à la fois l emportemen... \n", + "4 1 1 ah ne me faites pas ce tort de juger de moi... \n", + "... ... ... ... \n", + "1002 5 6 hélas comment faut il donc faire on me do... \n", + "1003 5 6 seigneur harpagon il faut lui pardonner cette... \n", + "1004 5 6 vous payerez donc le commissaire \n", + "1005 5 6 soit allons vite faire part de notre joie à ... \n", + "1006 5 6 et moi voir ma chère cassette \n", + "\n", + " tokenized_text number_of_words \n", + "0 [hé, quoi, charmante, élise, vous, devenez, ... 58 \n", + "1 [non, valère, je, ne, puis, pas, me, repentir... 68 \n", + "2 [hé, que, pouvez, vous, craindre, élise, dan... 14 \n", + "3 [hélas, cent, choses, à, la, fois, l, emport... 51 \n", + "4 [ah, ne, me, faites, pas, ce, tort, de, juger,... 45 \n", + "... ... ... \n", + "1002 [hélas, comment, faut, il, donc, faire, on, m... 23 \n", + "1003 [seigneur, harpagon, il, faut, lui, pardonner,... 8 \n", + "1004 [vous, payerez, donc, le, commissaire] 5 \n", + "1005 [soit, allons, vite, faire, part, de, notre, j... 11 \n", + "1006 [et, moi, voir, ma, chère, cassette] 6 \n", + "\n", + "[1004 rows x 10 columns]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['number_of_words'] = df.tokenized_text.apply(lambda x: len(x))\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "cowTAUt-dqdr" + }, + "source": [ + "We can find the number of words for every character. We find that Harpagon is the character that speaks the most." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 457 + }, + "id": "Sp334nz0ZeFS", + "outputId": "789c07a5-a16e-4517-cd00-416265c4c406" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
acteurnumber_of_words
0HARPAGON6256
1CLÉANTE3364
2VALÈRE2772
3FROSINE2363
4MAÎTRE JACQUES1717
5LA FLÈCHE1522
6ÉLISE1071
7MARIANE919
8ANSELME517
9LE COMMISSAIRE294
10MAÎTRE SIMON197
11LA MERLUCHE55
12BRINDAVOINE43
\n", + "
" + ], + "text/plain": [ + " acteur number_of_words\n", + "0 HARPAGON 6256\n", + "1 CLÉANTE 3364\n", + "2 VALÈRE 2772\n", + "3 FROSINE 2363\n", + "4 MAÎTRE JACQUES 1717\n", + "5 LA FLÈCHE 1522\n", + "6 ÉLISE 1071\n", + "7 MARIANE 919\n", + "8 ANSELME 517\n", + "9 LE COMMISSAIRE 294\n", + "10 MAÎTRE SIMON 197\n", + "11 LA MERLUCHE 55\n", + "12 BRINDAVOINE 43" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "actors_num = df.groupby('acteur')['number_of_words'].sum().sort_values(ascending=False).to_frame().reset_index()\n", + "actors_num" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "_XhOAvWtexeq" + }, + "source": [ + "We check if all the characters in the description have actual lines. We find that although DAME CLAUDE is in the scenes she doesn't have any lines." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "wGas5NPJfSu1", + "outputId": "ae0a9978-ee64-4390-c2cd-de9065cb668c" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'DAME CLAUDE'}" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "actors_d = readable_doc[11:25]\n", + "actors_d = set([x[3:x.find(',')].upper().replace(\"MAITRE \",\"MAÎTRE \") for x in actors_d])\n", + "actors_t = set(actors_num['acteur'])\n", + "actors_d - actors_t" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "niiTcyPci-yW" + }, + "source": [ + "## 2. \n", + "Make a graph that shows the number of words each actor says in each scene. You can get inspiration for this from the study of \"L’avare\" carried out by OBVIL (left graph). " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "76yTHt5qjSV-" + }, + "source": [ + "To obtain percentages for every actor for every scene it is necessary to group the data and compute the fractions." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 423 + }, + "id": "JlEeDa3fkV66", + "outputId": "b61bcc15-4710-4f28-fd0c-f484233cd0a0" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
acte_nscene_nactesceneacteurnumber_of_wordsperc
915IVÉLISE363.52
1015IVHARPAGON27827.15
1115IVVALÈRE71069.34
614IIVCLÉANTE21614.01
714IIVÉLISE16610.77
........................
7352VIIHARPAGON18226.42
7452VIILE COMMISSAIRE15923.08
7552VIIMAÎTRE JACQUES34850.51
7151VIHARPAGON8944.95
7251VILE COMMISSAIRE10955.05
\n", + "

95 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " acte_n scene_n acte scene acteur number_of_words perc\n", + "9 1 5 I V ÉLISE 36 3.52\n", + "10 1 5 I V HARPAGON 278 27.15\n", + "11 1 5 I V VALÈRE 710 69.34\n", + "6 1 4 I IV CLÉANTE 216 14.01\n", + "7 1 4 I IV ÉLISE 166 10.77\n", + ".. ... ... ... ... ... ... ...\n", + "73 5 2 V II HARPAGON 182 26.42\n", + "74 5 2 V II LE COMMISSAIRE 159 23.08\n", + "75 5 2 V II MAÎTRE JACQUES 348 50.51\n", + "71 5 1 V I HARPAGON 89 44.95\n", + "72 5 1 V I LE COMMISSAIRE 109 55.05\n", + "\n", + "[95 rows x 7 columns]" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "agg = df.groupby(['acte_n','scene_n','acte','scene','acteur'])['number_of_words'].sum().reset_index()\n", + "aggb = (df.groupby(['acte_n','scene_n','acte','scene','acteur'])['number_of_words'].sum()/(df.groupby(['acte_n','scene_n','acte','scene'])['number_of_words'].sum())).reset_index()\n", + "agg['perc'] = round(aggb['number_of_words']*100,2)\n", + "agg = agg.sort_values(['acte_n','scene_n'], ascending=[True, False])\n", + "agg" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "r_WK67XM1TXA" + }, + "source": [ + "We also need to know how big is the scene in terms of number of words, compared with other scenes in the play.\n", + "\n", + "We normalize the obtained value by the value of the highest scene in all acts in order to obtain a value for each escene that is proportional to the length of the highest scene in the play." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 423 + }, + "id": "AhT4FXKDKxK1", + "outputId": "519da0a4-cd4d-41ec-9fd1-cd77703cc1ee" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
acte_nscene_nactesceneacteurnumber_of_wordspercw
915IVÉLISE363.520.496846
1015IVHARPAGON27827.150.496846
1115IVVALÈRE71069.340.496846
614IIVCLÉANTE21614.010.748180
714IIVÉLISE16610.770.748180
...........................
7352VIIHARPAGON18226.420.334304
7452VIILE COMMISSAIRE15923.080.334304
7552VIIMAÎTRE JACQUES34850.510.334304
7151VIHARPAGON8944.950.096070
7251VILE COMMISSAIRE10955.050.096070
\n", + "

95 rows × 8 columns

\n", + "
" + ], + "text/plain": [ + " acte_n scene_n acte scene acteur number_of_words perc \\\n", + "9 1 5 I V ÉLISE 36 3.52 \n", + "10 1 5 I V HARPAGON 278 27.15 \n", + "11 1 5 I V VALÈRE 710 69.34 \n", + "6 1 4 I IV CLÉANTE 216 14.01 \n", + "7 1 4 I IV ÉLISE 166 10.77 \n", + ".. ... ... ... ... ... ... ... \n", + "73 5 2 V II HARPAGON 182 26.42 \n", + "74 5 2 V II LE COMMISSAIRE 159 23.08 \n", + "75 5 2 V II MAÎTRE JACQUES 348 50.51 \n", + "71 5 1 V I HARPAGON 89 44.95 \n", + "72 5 1 V I LE COMMISSAIRE 109 55.05 \n", + "\n", + " w \n", + "9 0.496846 \n", + "10 0.496846 \n", + "11 0.496846 \n", + "6 0.748180 \n", + "7 0.748180 \n", + ".. ... \n", + "73 0.334304 \n", + "74 0.334304 \n", + "75 0.334304 \n", + "71 0.096070 \n", + "72 0.096070 \n", + "\n", + "[95 rows x 8 columns]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "agg2 = (agg.groupby(['acte_n','scene_n','acte','scene'])['number_of_words'].transform('sum'))\n", + "agg['w'] = agg2\n", + "agg['w'] = agg['w']/(agg['w'].max())\n", + "agg" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ab9josNQvsgO" + }, + "source": [ + "We display the graph with the information of the number of words per act per scene. \n", + "\n", + "Each bar represents a scene. And inside each bar there is a section for all the actors in the scene that said something, proportional to the total ammount of words said in that scene. \n", + "\n", + "The width of each bar represents, how long is the scene when it is compared with all the other scenes in number of words. So the thicker the bar, the higher the ammount of words said in the scene." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "lV_XquU4l2sl", + "outputId": "085be369-802a-4b55-cdec-4b5bb4e7f6f3" + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "actes = agg['acte'].unique()\n", + "for sc in list(actes):\n", + " aggb = agg[agg['acte'] == sc]\n", + " fig = (ggplot(aggb, aes(x='scene', fill = 'acteur', y = 'perc', width='w')) + \\\n", + " geom_bar(stat = \"identity\") \\\n", + " + scale_x_discrete(limits=aggb['scene'].unique())\\\n", + " +geom_text(aes(label='perc'),size = 9, position = position_stack(vjust = 0.5),format_string='\\n\\n{:.1f}%')\\\n", + " +geom_text(aes(label='acteur'),size = 9, position = position_stack(vjust = 0.5))\\\n", + " +geom_text(aes(label='number_of_words'),size = 9, position = position_stack(vjust = 0.5),format_string='\\n\\n\\n\\n{}' )\\\n", + " + labs(y='percentage', x='scene', title='Acte {}'.format(sc))\n", + " + coord_flip()).draw()\n", + " sc_num = len(list(agg[agg['acte'] == sc]['scene'].unique()))\n", + " fig.set_figheight(sc_num)\n", + " fig.set_figwidth(25)\n", + " fig.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "fX65YPhgr8MG" + }, + "source": [ + "## 3. \n", + "**Optional**: Construct an interlocution graph to visualize the exchanges between the characters." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "d7_zG_COsBum" + }, + "source": [ + "To display the graph of interactions. We assume that, in every scene, each time an actor speaks all the other actors in the scene are going to hear it. With that in mind we create a list of all the lines, with the author that says it as source, and all the other actors in the scene as the destination. " + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "tItOf13nBcya", + "outputId": "e9da851e-bbad-42c9-b701-00136800c54b" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " acte_n scene_n set_acteurs \\\n", + "0 1 1 VALÈRE, ÉLISE \n", + "1 1 1 VALÈRE, ÉLISE \n", + "2 1 2 CLÉANTE, ÉLISE \n", + "3 1 2 CLÉANTE, ÉLISE \n", + "4 1 3 HARPAGON, LA FLÈCHE \n", + ".. ... ... ... \n", + "90 5 6 CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "91 5 6 CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "92 5 6 CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "93 5 6 CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "94 5 6 CLÉANTE, VALÈRE, MARIANE, ÉLISE, FROSINE, H... \n", + "\n", + " acteur number_of_words \n", + "0 ÉLISE 491 \n", + "1 VALÈRE 630 \n", + "2 CLÉANTE 762 \n", + "3 ÉLISE 154 \n", + "4 HARPAGON 492 \n", + ".. ... ... \n", + "90 CLÉANTE 130 \n", + "91 HARPAGON 89 \n", + "92 LE COMMISSAIRE 26 \n", + "93 MAÎTRE JACQUES 23 \n", + "94 MARIANE 36 \n", + "\n", + "[95 rows x 5 columns]\n", + "('VALÈRE, ÉLISE', 'ÉLISE', 491)\n" + ] + } + ], + "source": [ + "aggc = (df.groupby(['acte_n','scene_n','set_acteurs','acteur'])['number_of_words'].sum()).reset_index()\n", + "print(aggc)\n", + "records = aggc[['set_acteurs','acteur','number_of_words']].to_records(index=False)\n", + "result = list(records)\n", + "print(result[0])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "jFrAIJgesnCH" + }, + "source": [ + "We want to create an adjacency matrix for the whole play. We create a dictionary with indexes for each actor to facilitate the filling of the matrix." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ZH6IHis7JTav", + "outputId": "f9ac32a1-e36d-4219-802d-99b34ac12006" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'VALÈRE': 0, 'ÉLISE': 1, 'CLÉANTE': 2, 'HARPAGON': 3, 'LA FLÈCHE': 4, 'MAÎTRE SIMON': 5, 'FROSINE': 6, 'DAME CLAUDE': 7, 'MAÎTRE JACQUES': 8, 'BRINDAVOINE': 9, 'LA MERLUCHE': 10, 'MARIANE': 11, 'LE COMMISSAIRE': 12, 'SON CLERC': 13, 'ANSELME': 14}\n", + "{0: 'VALÈRE', 1: 'ÉLISE', 2: 'CLÉANTE', 3: 'HARPAGON', 4: 'LA FLÈCHE', 5: 'MAÎTRE SIMON', 6: 'FROSINE', 7: 'DAME CLAUDE', 8: 'MAÎTRE JACQUES', 9: 'BRINDAVOINE', 10: 'LA MERLUCHE', 11: 'MARIANE', 12: 'LE COMMISSAIRE', 13: 'SON CLERC', 14: 'ANSELME'}\n", + "15\n" + ] + } + ], + "source": [ + "dc = {}\n", + "index = 0\n", + "for record in result:\n", + " for ch in record[0].split(','):\n", + " if ch.strip() not in dc:\n", + " dc[ch.strip()] = index\n", + " index +=1\n", + "dc_inv = {v: k for k, v in dc.items()}\n", + "print(dc)\n", + "print(dc_inv)\n", + "print(len(dc))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "n_nL7ZZ1s_Ov" + }, + "source": [ + "We fill the adjacency matrix, taking into account that every row is for when the character is the source of the message and every column for when the character is the destination of the message. We observe that the diagonal corresponds to the total number of words said by each character." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "eQWxOC4BLdja", + "outputId": "d7c06cc6-908d-4fee-cacf-50c10b67ad61" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2760\t2022\t284\t2033\t0\t0\t410\t272\t1420\t272\t279\t410\t1039\t1039\t376\n", + "673\t1071\t384\t368\t0\t0\t221\t3\t146\t3\t3\t221\t143\t143\t0\n", + "206\t2090\t3364\t1961\t653\t127\t1036\t76\t376\t76\t116\t1036\t130\t130\t130\n", + "1974\t3091\t3216\t6256\t752\t171\t1550\t784\t2040\t807\t857\t974\t1183\t1183\t347\n", + "0\t0\t962\t270\t1522\t12\t302\t0\t0\t0\t0\t0\t0\t0\t0\n", + "0\t0\t197\t197\t197\t197\t0\t0\t0\t0\t0\t0\t0\t0\t0\n", + "4\t490\t477\t1587\t130\t0\t2363\t0\t23\t0\t0\t726\t4\t4\t0\n", + "0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\n", + "1040\t831\t1135\t1508\t23\t0\t48\t794\t1717\t794\t794\t48\t396\t396\t30\n", + "23\t43\t43\t43\t0\t0\t20\t23\t23\t43\t23\t20\t0\t0\t0\n", + "26\t55\t55\t55\t0\t0\t29\t26\t26\t26\t55\t29\t0\t0\t0\n", + "228\t734\t507\t498\t36\t0\t919\t0\t228\t0\t0\t919\t228\t228\t228\n", + "26\t26\t26\t294\t26\t0\t26\t0\t185\t0\t0\t26\t294\t294\t26\n", + "0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\n", + "517\t517\t114\t517\t114\t0\t517\t0\t517\t0\t0\t517\t517\t517\t517\n", + "6256\n", + "3216\n" + ] + } + ], + "source": [ + "adj = np.zeros((len(dc),len(dc)),dtype=int)\n", + "for record in result:\n", + " for acteur_ecoute in record[0].split(','):\n", + " adj[dc[record[1]]][dc[acteur_ecoute.strip()]] += record[2]\n", + "print('\\n'.join(['\\t'.join([str(cell) for cell in row]) for row in adj]))\n", + "max_node_size = np.max(adj*np.identity(len(dc),dtype=int))\n", + "max_edge_w = np.max(adj*((np.identity(len(dc),dtype=int)-1)**2))\n", + "print(max_node_size)\n", + "print(max_edge_w)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "uMJL5iN0tZaj" + }, + "source": [ + "Finally we create our graph. Every cell in the diagonal corresponds to a node. Every other cell corresponds to a directed edge if the value is different from Zero. The size of the nodes and the weigths of the edges can be also taken into consideration, normalizing them by the max values present in the adjacency matrix." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 751 + }, + "id": "mSRm2YkGP2dk", + "outputId": "52bd8cd0-3775-4ad7-8f6e-d2bc68099d26" + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "G = nx.DiGraph()\n", + "#add nodes\n", + "for i in range(len(dc)):\n", + " G.add_node(dc_inv[i], size = adj[i][i])\n", + "#add edges\n", + "for i in range(len(dc)):\n", + " for j in range(len(dc)):\n", + " if i != j and adj[i][j] != 0:\n", + " G.add_weighted_edges_from([(dc_inv[i], dc_inv[j], adj[i][j]/max_edge_w)])\n", + "\n", + "\n", + "edge_width = [a[2]['weight'] for a in G.edges(data=True)]\n", + "sizes = [a[1]['size'] for a in G.nodes(data=True)]\n", + "\n", + "fig = plt.figure(figsize=(10,10))\n", + "pos = nx.circular_layout(G)\n", + "nx.draw(G,pos, with_labels=True, width=edge_width, node_size=sizes, arrowsize=10, connectionstyle='arc3, rad = 0.02')\n", + "\n", + "ax = plt.gca()\n", + "ax.set_axis_off()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "0WJPVQNruePP" + }, + "source": [ + "## Conclusion\n", + "\n", + "Performing text analysis is not an easy task. Even when the text presents a \"structure\", the final document can be full of format exceptions that can cause bad data interpretation. There is a lot of factors to take into consideration and they will change for every single text. It is important then to adquire experience in the field, so that the next time we can have an idea of the possible scenarios that we migth encounter.\\\n", + "\\\n", + "Some improvements to the analysis can be done. First, we could omit somme common words in order to work with only meaninful sentences, opening the door to semantic analysis. Second, We can try to estimate better the way the dialogues are routed, instead of making all the people in the scene the destination of every line.\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ] + } + ], "metadata": { + "colab": { + "collapsed_sections": [], + "name": "La_Moliere.ipynb", + "provenance": [] + }, "kernelspec": { "display_name": "Python 3", "language": "python", @@ -16,10 +2478,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 1 } -