{ "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": 1, "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) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Je voudrais faire un dataframe contenant pour chaque scène les interventions de chaque personnage. " ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Je récupère le nom des personnages: " ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "text=open(data_file,'r')\n", "Lines = text.readlines()\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['VALÈRE',\n", " 'ÉLISE',\n", " 'CLÉANTE',\n", " 'HARPAGON',\n", " 'LA FLÈCHE',\n", " 'MAÎTRE SIMON',\n", " 'FROSINE',\n", " 'MAÎTRE JACQUES',\n", " 'LA MERLUCHE',\n", " 'BRINDAVOINE',\n", " 'MARIANE',\n", " 'LE COMMISSAIRE',\n", " 'ANSELME']" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Perso = []\n", "for l in Lines:\n", " if l[0:4]==' ':\n", " name=l[4:].split('.')[0].split('*')[0].split(',')[0]\n", " if name not in Perso and name[-1]!=' ':\n", " Perso.append(name)\n", "Perso " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Je récupère les actes et les scènes:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['Premier_Première',\n", " 'Premier_II',\n", " 'Premier_III',\n", " 'Premier_IV',\n", " 'Premier_V',\n", " 'II_Première',\n", " 'II_II',\n", " 'II_III',\n", " 'II_IV',\n", " 'II_V',\n", " 'III_Première',\n", " 'III_II',\n", " 'III_III',\n", " 'III_IV',\n", " 'III_V',\n", " 'III_VI',\n", " 'III_VII',\n", " 'III_VIII',\n", " 'III_IX',\n", " 'IV_Première',\n", " 'IV_II',\n", " 'IV_III',\n", " 'IV_IV',\n", " 'IV_V',\n", " 'IV_VI',\n", " 'IV_VII',\n", " 'V_Première',\n", " 'V_II',\n", " 'V_III',\n", " 'V_IV',\n", " 'V_V',\n", " 'V_VI']" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Scene=''\n", "Scenes=[]\n", "for l in Lines:\n", " if l[0:2]=='##':\n", " if l[2]!='#':\n", " Acte=l.split(' ')[2].split('.')[0]\n", " else : \n", " Scene=Acte+'_'+l.split(' ')[2].split('.')[0]\n", " Scenes.append(Scene)\n", " #elif Scene!='':\n", " #print(l)\n", " \n", "Scenes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Après avoir vérifié que je récupère bien tous les personnages et toutes les scènes, je construis un dataframe qui contient les répliques de chaque personnage dans chaque scènes. " ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "df=pd.DataFrame(index=Perso, columns=Scenes)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 8, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/plain": [ "[\"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", " 'Hé que pouvez-vous craindre, Élise, dans les bontés que vous avez pour moi ?',\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\\xa0; et mon amour pour vous, durera autant que ma vie.',\n", " \"Puisque les seules actions font connaître ce que nous sommes\\xa0; attendez donc au moins à juger de mon cœur par elles, et ne me cherchez point des crimes dans les injustes craintes d'une fâcheuse prévoyance. Ne m'assassinez point, je vous prie, par les sensibles coups d'un soupçon outrageux\\xa0; et donnez-moi le temps de vous convaincre, par mille et mille preuves, de l'honnêteté de mes feux.\",\n", " 'Mais pourquoi cette inquiétude ?',\n", " \"De tout ce que vous avez dit, ce n'est que par mon seul amour que je prétends auprès de vous mériter quelque chose ; et quant aux scrupules que vous avez, votre Père, lui-même, ne prend que trop de soin de vous justifier à tout le monde ; et l'excès de son avarice, et la manière austère dont il vit avec ses Enfants, pourraient autoriser des choses plus étranges. Pardonnez-moi, charmante Élise, si j'en parle ainsi devant vous.Vous savez que sur ce chapitre on n'en peut pas dire de bien. Mais enfin, si je puis, comme je l'espère, retrouver mes Parents, nous n'aurons pas beaucoup de peine à nous le rendre favorable. J'en attends des nouvelles avec impatience, et j'en irai chercher moi-même, si elles tardent à venir.\",\n", " \"Vous voyez comme je m'y prends, et les adroites complaisances qu'il m'a fallu mettre en usage, pour m'introduire à son service ; sous quel masque de sympathie, et de rapports de sentiments, je me déguise, pour lui plaire, et quel personnage je joue tous les jours avec lui, afin d'acquérir sa tendresse. J'y fais des progrès admirables ; et j'éprouve que pour gagner les Hommes, il n'est point de meilleure voie, que de se parer à leurs yeux de leurs inclinations ; que de donner dans leurs maximes, encenser leurs défauts, et applaudir à ce qu'ils font. On n'a que faire d'avoir peur de trop charger la complaisance ; et la manière dont on les joue, a beau être visible, les plus fins toujours sont de grandes dupes du côté de la flatterie ; et il n'y a rien de si impertinent, et de si ridicule, qu'on ne fasse avaler, lorsqu'on l'assaisonne en louange.La sincérité souffre un peu au métier que je fais : mais quand on a besoin des Hommes, il faut bien s'ajuster à eux ; et puisqu'on ne saurait les gagner que par là, ce n'est pas la faute de ceux qui flattent, mais de ceux qui veulent être flattés.\",\n", " \"On ne peut pas ménager l'un et l'autre ; et l'esprit du Père, et celui du Fils, sont des choses si opposées, qu'il est difficile d'accommoder ces deux confidences ensemble. Mais vous, de votre part, agissez auprès de votre Frère, et servez-vous de l'amitié qui est entre vous deux, pour le jeter dans nos intérêts. Il vient.Je me retire.Prenez ce temps pour lui parler ; et ne lui découvrez de notre affaire, que ce que vous jugerez à propos.\"]" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df=pd.DataFrame()\n", "Scene=''\n", "for l in Lines:\n", " if l[0:2]=='##':\n", " if l[2]!='#':\n", " Acte=l.split(' ')[2].split('.')[0]\n", " else : \n", " Scene=Acte+'_'+l.split(' ')[2].split('.')[0]\n", " new_row = pd.Series(data={}, name=Scene)\n", " #append row to the dataframe\n", " df = df.append(new_row, ignore_index=False)\n", " Name=''\n", " elif l[0:4]==' ':\n", " Name=l[4:].split('.')[0].split('*')[0].split(',')[0]\n", " if Name[-1]==' ': \n", " Name=Name[:-1]\n", " if Name not in df.columns: \n", " df[Name]=None\n", " if isinstance(df[Name][Scene],list)==False: df[Name][Scene]=[] \n", " \n", " elif Scene!='' and Name!='' and l[0] != '\\n': \n", " df[Name][Scene].append(l.split('\\n')[0])\n", " \n", " \n", "df['VALÈRE']['Premier_Première']\n" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "8\n" ] } ], "source": [ "print(len(df['VALÈRE']['Premier_Première']))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Il y a 8 répliques de Valère dans Acte I scène 1. " ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "56" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df['VALÈRE']['Premier_Première'][0].split(' '))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Il y a 56 mots dans la première réplique (en coupant simplement aux espaces). \n", "\n", "## Question 1\n", "Classez les personnages selon la quantité de parole grâce à une analyse syntaxique du texte (scènes / répliques / mots). En particulier, quel est celui qui parle le plus ? Quel est celui qui ne parle pas du tout ? Attention, les noms des personnages ne sont pas forcément homogènes (casse et accents par exemple).\n", "\n", "Quel est le personnage qui parle le plus à chaque scène? En nombre de répliques, puis en nombre de mots." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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VALÈREÉLISECLÉANTEHARPAGONLA FLÈCHEMAÎTRE SIMONFROSINEMAÎTRE JACQUESLA MERLUCHEBRINDAVOINEMARIANELE COMMISSAIREANSELME
Premier_Première[Hé quoi, charmante Élise, vous devenez mélanc...[Non, Valère, je ne puis pas me repentir de to...NoneNoneNoneNoneNoneNoneNoneNoneNoneNoneNone
Premier_IINaN[Me voilà prête à vous ouïr, mon Frère. Qu'ave...[Je suis bien aise de vous trouver seule, ma S...NoneNoneNoneNoneNoneNoneNoneNoneNoneNone
Premier_IIINaNNaNNaN[Hors d'ici tout à l'heure, et qu'on ne répliq...[Je n'ai jamais rien vu de si méchant que ce m...NoneNoneNoneNoneNoneNoneNoneNone
Premier_IVNaN[Nous ne venons que d'arriver., Quoi ?, Pardon...[Rien, mon Père., Quoi ? mon Père., Non., Nous...[Certes, ce n'est pas une petite peine que de ...NaNNoneNoneNoneNoneNoneNoneNoneNone
Premier_V[C'est vous, Monsieur, sans contredit., Non. M...[Vous moquez-vous, Valère, de lui parler comme...NaN[Ici, Valère. Nous t'avons élu pour nous dire ...NaNNoneNoneNoneNoneNoneNoneNoneNone
II_PremièreNaNNaN[Ah ! traître que tu es, où t'es-tu donc allé ...NaN[Oui, Monsieur, et je m'étais rendu ici pour v...NoneNoneNoneNoneNoneNoneNoneNone
II_IINaNNaN[Lui aurait-on appris qui je suis ? et serais-...[Mais croyez-vous, Maître Simon, qu'il n'y ait...[Que veut dire ceci ? Notre maître Simon qui p...[Oui, Monsieur, c'est un jeune Homme qui a bes...NoneNoneNoneNoneNoneNoneNone
II_IIINaNNaNNaN[Attendez un moment. Je vais revenir vous parl...NaNNaN[Monsieur…]NoneNoneNoneNoneNoneNone
II_IVNaNNaNNaNNaN[L'Aventure est tout à fait drôle Il faut bien...NaN[Hé c'est toi, mon pauvre la Flèche ! D'où vie...NoneNoneNoneNoneNoneNone
II_VNaNNaNNaN[Tout va comme il faut. Hé bien, qu'est-ce, Fr...NaNNaN[Ah, mon Dieu ! que vous vous portez bien ! et...NoneNoneNoneNoneNoneNone
III_Première[Je n'ai jamais vu de réponse plus impertinent...[Oui, mon Père.][Moi, mon Père, mauvais visage ; et par quelle...[Allons.Venez çà tous, que je vous distribue m...NaNNaNNaN[Châtiment politique., Oui ; le vin pur monte ...[Quitterons-nous nos siquenilles, Monsieur ?, ...[Vous savez bien, Monsieur, qu'un des devants ...NoneNoneNone
III_II[À ce que je puis voir, Maître Jacques, on pay...NaNNaNNaNNaNNaNNaN[Morbleu, Monsieur le nouveau venu, qui faites...NaNNaNNoneNoneNone
III_IIINaNNaNNaNNaNNaNNaN[Savez-vous, Maître Jacques, si votre maître e...[Oui vraiment il y est, je ne le sais que trop.]NaNNaNNoneNoneNone
III_IVNaNNaNNaNNaNNaNNaN[Mais pourquoi, et quelle est votre inquiétude...NaNNaNNaN[Ah ! que je suis, Frosine, dans un étrange ét...NoneNone
III_VNaNNaNNaN[Ne vous offensez pas, ma Belle, si je viens à...NaNNaN[C'est qu'elle est encore toute surprise ; et ...NaNNaNNaNNaNNoneNone
III_VINaN[Vous avez fait, Madame, ce que je devais fair...NaN[Vous voyez qu'elle est grande ; mais mauvaise...NaNNaN[Qu'elle vous trouve admirable., L'aventure es...NaNNaNNaN[Je m'acquitte bien tard, Madame, d'une telle ...NoneNone
III_VII[Il a perdu le sens.]NaN[Madame, à vous dire le vrai, c'est ici une av...[Voilà un compliment bien impertinent. Quelle ...NaNNaN[Non, il vaut mieux que de ce pas nous allions...NaNNaNNaN[Je puis dire la même chose. C'est une rencont...NoneNone
III_VIIINaNNaNNaN[Dis-lui que je suis empêché, et qu'il revienn...NaNNaNNaNNaNNaN[Monsieur, il y a là un Homme qui veut vous pa...NaNNoneNone
III_IX[Cela ne sera rien., C'est assez.]NaN[Qu'est-ce, mon Père ? Vous êtes-vous fait mal...[Ah, je suis mort !, Le traître assurément a r...NaNNaNNaNNaN[Il vient en courant, et fait tomber Harpagon....NaNNaNNoneNone
IV_PremièreNaN[Oui, Madame, mon Frère m'a fait confidence de...[Rentrons ici, nous serons beaucoup mieux.Il n...NaNNaNNaN[Vous êtes, par ma foi, de malheureuses gens l...NaNNaNNaN[C'est une douce consolation, que de voir dans...NoneNone
IV_IINaN[Voilà mon Père.][Puisque vous n'y allez pas, mon Père, je m'en...[Ouais ! mon Fils baise la main de sa prétendu...NaNNaNNaNNaNNaNNaNNaNNoneNone
IV_IIINaNNaN[Ce qui m'en semble ?, Là, là., À vous en parl...[Ô çà, intérêt de Belle-Mère à part, que te se...NaNNaNNaNNaNNaNNaNNaNNoneNone
IV_IVNaNNaN[Je me moque de cela., Je n'en démordrai point...[Me parler avec cette impudence !, Laisse-moi ...NaNNaNNaN[Eh, eh, eh, Messieurs, qu'est-ce ci ? à quoi ...NaNNaNNaNNoneNone
IV_VNaNNaN[Je vous demande pardon, mon Père, de l'emport...[Cela n'est rien., Et moi, j'ai toutes les joi...NaNNaNNaNNaNNaNNaNNaNNoneNone
IV_VINaNNaN[Qu'y a-t-il ?, Comment ?, Quoi ?, Qu'est-ce q...NaN[Ah, Monsieur, que je vous trouve à propos !Su...NaNNaNNaNNaNNaNNaNNoneNone
IV_VIINaNNaNNaN[Il crie au Voleur dès le jardin, et vient san...NaNNaNNaNNaNNaNNaNNaNNoneNone
V_PremièreNaNNaNNaN[Tous les Magistrats sont intéressés à prendre...NaNNaNNaNNaNNaNNaNNaN[Laissez-moi faire. Je sais mon métier, Dieu m...None
V_IINaNNaNNaN[Qui ? celui qui m'a dérobé ?, Il n'est pas qu...NaNNaNNaN[Je m'en vais revenir. Qu'on me l'égorge tout ...NaNNaNNaN[Ne vous épouvantez point. Je suis Homme à ne ...None
V_III[Que voulez-vous, Monsieur ?, De quel crime vo...NaNNaN[Approche. Viens confesser l'action la plus no...NaNNaNNaN[Oh, oh. Aurais-je deviné sans y penser ?, Écr...NaNNaNNaNNaNNone
V_IV[Ce ne sera point votre passion qui jugera l'a...[Ah ! mon père, prenez des sentiments un peu p...NaN[Ah ! fille scélérate ! Fille indigne d'un Pèr...NaNNaN[Voici un étrange embarras.][Tu me payeras mes coups de bâton.]NaNNaNNaNNaNNone
V_V[Qui songe à votre argent, dont vous me faites...NaNNaN[Ah ! Seigneur Anselme, vous me voyez le plus ...NaNNaNNaN[Vous voyez que je ne dis rien.]NaNNaN[Hélas ! à vos paroles, je puis ici répondre, ...NaN[Qu'est-ce, Seigneur Harpagon, je vous vois to...
V_VINaNNaN[Ne vous tourmentez point, mon Père, et n'accu...[Où est-il ?, N'en a-t-on rien ôté ?, Il faut,...NaNNaNNaN[Hélas ! comment faut-il donc faire ? On me do...NaNNaN[Mais vous ne savez pas, que ce n'est pas asse...[Holà, Messieurs, holà.Tout doucement, s'il vo...[Le Ciel, mes Enfants, ne me redonne point à v...
\n", "
" ], "text/plain": [ " VALÈRE \\\n", "Premier_Première [Hé quoi, charmante Élise, vous devenez mélanc... \n", "Premier_II NaN \n", "Premier_III NaN \n", "Premier_IV NaN \n", "Premier_V [C'est vous, Monsieur, sans contredit., Non. M... \n", "II_Première NaN \n", "II_II NaN \n", "II_III NaN \n", "II_IV NaN \n", "II_V NaN \n", "III_Première [Je n'ai jamais vu de réponse plus impertinent... \n", "III_II [À ce que je puis voir, Maître Jacques, on pay... \n", "III_III NaN \n", "III_IV NaN \n", "III_V NaN \n", "III_VI NaN \n", "III_VII [Il a perdu le sens.] \n", "III_VIII NaN \n", "III_IX [Cela ne sera rien., C'est assez.] \n", "IV_Première NaN \n", "IV_II NaN \n", "IV_III NaN \n", "IV_IV NaN \n", "IV_V NaN \n", "IV_VI NaN \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III [Que voulez-vous, Monsieur ?, De quel crime vo... \n", "V_IV [Ce ne sera point votre passion qui jugera l'a... \n", "V_V [Qui songe à votre argent, dont vous me faites... \n", "V_VI NaN \n", "\n", " ÉLISE \\\n", "Premier_Première [Non, Valère, je ne puis pas me repentir de to... \n", "Premier_II [Me voilà prête à vous ouïr, mon Frère. Qu'ave... \n", "Premier_III NaN \n", "Premier_IV [Nous ne venons que d'arriver., Quoi ?, Pardon... \n", "Premier_V [Vous moquez-vous, Valère, de lui parler comme... \n", "II_Première NaN \n", "II_II NaN \n", "II_III NaN \n", "II_IV NaN \n", "II_V NaN \n", "III_Première [Oui, mon Père.] \n", "III_II NaN \n", "III_III NaN \n", "III_IV NaN \n", "III_V NaN \n", "III_VI [Vous avez fait, Madame, ce que je devais fair... \n", "III_VII NaN \n", "III_VIII NaN \n", "III_IX NaN \n", "IV_Première [Oui, Madame, mon Frère m'a fait confidence de... \n", "IV_II [Voilà mon Père.] \n", "IV_III NaN \n", "IV_IV NaN \n", "IV_V NaN \n", "IV_VI NaN \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III NaN \n", "V_IV [Ah ! mon père, prenez des sentiments un peu p... \n", "V_V NaN \n", "V_VI NaN \n", "\n", " CLÉANTE \\\n", "Premier_Première None \n", "Premier_II [Je suis bien aise de vous trouver seule, ma S... \n", "Premier_III NaN \n", "Premier_IV [Rien, mon Père., Quoi ? mon Père., Non., Nous... \n", "Premier_V NaN \n", "II_Première [Ah ! traître que tu es, où t'es-tu donc allé ... \n", "II_II [Lui aurait-on appris qui je suis ? et serais-... \n", "II_III NaN \n", "II_IV NaN \n", "II_V NaN \n", "III_Première [Moi, mon Père, mauvais visage ; et par quelle... \n", "III_II NaN \n", "III_III NaN \n", "III_IV NaN \n", "III_V NaN \n", "III_VI NaN \n", "III_VII [Madame, à vous dire le vrai, c'est ici une av... \n", "III_VIII NaN \n", "III_IX [Qu'est-ce, mon Père ? Vous êtes-vous fait mal... \n", "IV_Première [Rentrons ici, nous serons beaucoup mieux.Il n... \n", "IV_II [Puisque vous n'y allez pas, mon Père, je m'en... \n", "IV_III [Ce qui m'en semble ?, Là, là., À vous en parl... \n", "IV_IV [Je me moque de cela., Je n'en démordrai point... \n", "IV_V [Je vous demande pardon, mon Père, de l'emport... \n", "IV_VI [Qu'y a-t-il ?, Comment ?, Quoi ?, Qu'est-ce q... \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III NaN \n", "V_IV NaN \n", "V_V NaN \n", "V_VI [Ne vous tourmentez point, mon Père, et n'accu... \n", "\n", " HARPAGON \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III [Hors d'ici tout à l'heure, et qu'on ne répliq... \n", "Premier_IV [Certes, ce n'est pas une petite peine que de ... \n", "Premier_V [Ici, Valère. Nous t'avons élu pour nous dire ... \n", "II_Première NaN \n", "II_II [Mais croyez-vous, Maître Simon, qu'il n'y ait... \n", "II_III [Attendez un moment. Je vais revenir vous parl... \n", "II_IV NaN \n", "II_V [Tout va comme il faut. Hé bien, qu'est-ce, Fr... \n", "III_Première [Allons.Venez çà tous, que je vous distribue m... \n", "III_II NaN \n", "III_III NaN \n", "III_IV NaN \n", "III_V [Ne vous offensez pas, ma Belle, si je viens à... \n", "III_VI [Vous voyez qu'elle est grande ; mais mauvaise... \n", "III_VII [Voilà un compliment bien impertinent. Quelle ... \n", "III_VIII [Dis-lui que je suis empêché, et qu'il revienn... \n", "III_IX [Ah, je suis mort !, Le traître assurément a r... \n", "IV_Première NaN \n", "IV_II [Ouais ! mon Fils baise la main de sa prétendu... \n", "IV_III [Ô çà, intérêt de Belle-Mère à part, que te se... \n", "IV_IV [Me parler avec cette impudence !, Laisse-moi ... \n", "IV_V [Cela n'est rien., Et moi, j'ai toutes les joi... \n", "IV_VI NaN \n", "IV_VII [Il crie au Voleur dès le jardin, et vient san... \n", "V_Première [Tous les Magistrats sont intéressés à prendre... \n", "V_II [Qui ? celui qui m'a dérobé ?, Il n'est pas qu... \n", "V_III [Approche. Viens confesser l'action la plus no... \n", "V_IV [Ah ! fille scélérate ! Fille indigne d'un Pèr... \n", "V_V [Ah ! Seigneur Anselme, vous me voyez le plus ... \n", "V_VI [Où est-il ?, N'en a-t-on rien ôté ?, Il faut,... \n", "\n", " LA FLÈCHE \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III [Je n'ai jamais rien vu de si méchant que ce m... \n", "Premier_IV NaN \n", "Premier_V NaN \n", "II_Première [Oui, Monsieur, et je m'étais rendu ici pour v... \n", "II_II [Que veut dire ceci ? Notre maître Simon qui p... \n", "II_III NaN \n", "II_IV [L'Aventure est tout à fait drôle Il faut bien... \n", "II_V NaN \n", "III_Première NaN \n", "III_II NaN \n", "III_III NaN \n", "III_IV NaN \n", "III_V NaN \n", "III_VI NaN \n", "III_VII NaN \n", "III_VIII NaN \n", "III_IX NaN \n", "IV_Première NaN \n", "IV_II NaN \n", "IV_III NaN \n", "IV_IV NaN \n", "IV_V NaN \n", "IV_VI [Ah, Monsieur, que je vous trouve à propos !Su... \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III NaN \n", "V_IV NaN \n", "V_V NaN \n", "V_VI NaN \n", "\n", " MAÎTRE SIMON \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III None \n", "Premier_IV None \n", "Premier_V None \n", "II_Première None \n", "II_II [Oui, Monsieur, c'est un jeune Homme qui a bes... \n", "II_III NaN \n", "II_IV NaN \n", "II_V NaN \n", "III_Première NaN \n", "III_II NaN \n", "III_III NaN \n", "III_IV NaN \n", "III_V NaN \n", "III_VI NaN \n", "III_VII NaN \n", "III_VIII NaN \n", "III_IX NaN \n", "IV_Première NaN \n", "IV_II NaN \n", "IV_III NaN \n", "IV_IV NaN \n", "IV_V NaN \n", "IV_VI NaN \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III NaN \n", "V_IV NaN \n", "V_V NaN \n", "V_VI NaN \n", "\n", " FROSINE \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III None \n", "Premier_IV None \n", "Premier_V None \n", "II_Première None \n", "II_II None \n", "II_III [Monsieur…] \n", "II_IV [Hé c'est toi, mon pauvre la Flèche ! D'où vie... \n", "II_V [Ah, mon Dieu ! que vous vous portez bien ! et... \n", "III_Première NaN \n", "III_II NaN \n", "III_III [Savez-vous, Maître Jacques, si votre maître e... \n", "III_IV [Mais pourquoi, et quelle est votre inquiétude... \n", "III_V [C'est qu'elle est encore toute surprise ; et ... \n", "III_VI [Qu'elle vous trouve admirable., L'aventure es... \n", "III_VII [Non, il vaut mieux que de ce pas nous allions... \n", "III_VIII NaN \n", "III_IX NaN \n", "IV_Première [Vous êtes, par ma foi, de malheureuses gens l... \n", "IV_II NaN \n", "IV_III NaN \n", "IV_IV NaN \n", "IV_V NaN \n", "IV_VI NaN \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III NaN \n", "V_IV [Voici un étrange embarras.] \n", "V_V NaN \n", "V_VI NaN \n", "\n", " MAÎTRE JACQUES \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III None \n", "Premier_IV None \n", "Premier_V None \n", "II_Première None \n", "II_II None \n", "II_III None \n", "II_IV None \n", "II_V None \n", "III_Première [Châtiment politique., Oui ; le vin pur monte ... \n", "III_II [Morbleu, Monsieur le nouveau venu, qui faites... \n", "III_III [Oui vraiment il y est, je ne le sais que trop.] \n", "III_IV NaN \n", "III_V NaN \n", "III_VI NaN \n", "III_VII NaN \n", "III_VIII NaN \n", "III_IX NaN \n", "IV_Première NaN \n", "IV_II NaN \n", "IV_III NaN \n", "IV_IV [Eh, eh, eh, Messieurs, qu'est-ce ci ? à quoi ... \n", "IV_V NaN \n", "IV_VI NaN \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II [Je m'en vais revenir. Qu'on me l'égorge tout ... \n", "V_III [Oh, oh. Aurais-je deviné sans y penser ?, Écr... \n", "V_IV [Tu me payeras mes coups de bâton.] \n", "V_V [Vous voyez que je ne dis rien.] \n", "V_VI [Hélas ! comment faut-il donc faire ? On me do... \n", "\n", " LA MERLUCHE \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III None \n", "Premier_IV None \n", "Premier_V None \n", "II_Première None \n", "II_II None \n", "II_III None \n", "II_IV None \n", "II_V None \n", "III_Première [Quitterons-nous nos siquenilles, Monsieur ?, ... \n", "III_II NaN \n", "III_III NaN \n", "III_IV NaN \n", "III_V NaN \n", "III_VI NaN \n", "III_VII NaN \n", "III_VIII NaN \n", "III_IX [Il vient en courant, et fait tomber Harpagon.... \n", "IV_Première NaN \n", "IV_II NaN \n", "IV_III NaN \n", "IV_IV NaN \n", "IV_V NaN \n", "IV_VI NaN \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III NaN \n", "V_IV NaN \n", "V_V NaN \n", "V_VI NaN \n", "\n", " BRINDAVOINE \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III None \n", "Premier_IV None \n", "Premier_V None \n", "II_Première None \n", "II_II None \n", "II_III None \n", "II_IV None \n", "II_V None \n", "III_Première [Vous savez bien, Monsieur, qu'un des devants ... \n", "III_II NaN \n", "III_III NaN \n", "III_IV NaN \n", "III_V NaN \n", "III_VI NaN \n", "III_VII NaN \n", "III_VIII [Monsieur, il y a là un Homme qui veut vous pa... \n", "III_IX NaN \n", "IV_Première NaN \n", "IV_II NaN \n", "IV_III NaN \n", "IV_IV NaN \n", "IV_V NaN \n", "IV_VI NaN \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III NaN \n", "V_IV NaN \n", "V_V NaN \n", "V_VI NaN \n", "\n", " MARIANE \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III None \n", "Premier_IV None \n", "Premier_V None \n", "II_Première None \n", "II_II None \n", "II_III None \n", "II_IV None \n", "II_V None \n", "III_Première None \n", "III_II None \n", "III_III None \n", "III_IV [Ah ! que je suis, Frosine, dans un étrange ét... \n", "III_V NaN \n", "III_VI [Je m'acquitte bien tard, Madame, d'une telle ... \n", "III_VII [Je puis dire la même chose. C'est une rencont... \n", "III_VIII NaN \n", "III_IX NaN \n", "IV_Première [C'est une douce consolation, que de voir dans... \n", "IV_II NaN \n", "IV_III NaN \n", "IV_IV NaN \n", "IV_V NaN \n", "IV_VI NaN \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III NaN \n", "V_IV NaN \n", "V_V [Hélas ! à vos paroles, je puis ici répondre, ... \n", "V_VI [Mais vous ne savez pas, que ce n'est pas asse... \n", "\n", " LE COMMISSAIRE \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III None \n", "Premier_IV None \n", "Premier_V None \n", "II_Première None \n", "II_II None \n", "II_III None \n", "II_IV None \n", "II_V None \n", "III_Première None \n", "III_II None \n", "III_III None \n", "III_IV None \n", "III_V None \n", "III_VI None \n", "III_VII None \n", "III_VIII None \n", "III_IX None \n", "IV_Première None \n", "IV_II None \n", "IV_III None \n", "IV_IV None \n", "IV_V None \n", "IV_VI None \n", "IV_VII None \n", "V_Première [Laissez-moi faire. Je sais mon métier, Dieu m... \n", "V_II [Ne vous épouvantez point. Je suis Homme à ne ... \n", "V_III NaN \n", "V_IV NaN \n", "V_V NaN \n", "V_VI [Holà, Messieurs, holà.Tout doucement, s'il vo... \n", "\n", " ANSELME \n", "Premier_Première None \n", "Premier_II None \n", "Premier_III None \n", "Premier_IV None \n", "Premier_V None \n", "II_Première None \n", "II_II None \n", "II_III None \n", "II_IV None \n", "II_V None \n", "III_Première None \n", "III_II None \n", "III_III None \n", "III_IV None \n", "III_V None \n", "III_VI None \n", "III_VII None \n", "III_VIII None \n", "III_IX None \n", "IV_Première None \n", "IV_II None \n", "IV_III None \n", "IV_IV None \n", "IV_V None \n", "IV_VI None \n", "IV_VII None \n", "V_Première None \n", "V_II None \n", "V_III None \n", "V_IV None \n", "V_V [Qu'est-ce, Seigneur Harpagon, je vous vois to... \n", "V_VI [Le Ciel, mes Enfants, ne me redonne point à v... " ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Je génère un dataframe `NW` qui contient le nombre de mots de chaque personnage dans chaque scène." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "593" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def NWords(Name, Scene):\n", " N=0\n", " if isinstance(df[Name][Scene],list):\n", " for i in range(0,len(df[Name][Scene])):\n", " N+=len(df[Name][Scene][i].split(' '))\n", " return N\n", " \n", "NWords('VALÈRE','Premier_Première') \n" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/html": [ "
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VALÈREÉLISECLÉANTEHARPAGONLA FLÈCHEMAÎTRE SIMONFROSINEMAÎTRE JACQUESLA MERLUCHEBRINDAVOINEMARIANELE COMMISSAIREANSELME
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IV_VII000392000000000
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V_II0001680003170001510
V_III600004290001100000
V_IV191390120004700000
V_V358002400007001850378
V_VI001258700024003423105
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" ], "text/plain": [ " VALÈRE ÉLISE CLÉANTE HARPAGON LA FLÈCHE MAÎTRE SIMON \\\n", "Premier_Première 593 463 0 0 0 0 \n", "Premier_II 0 150 725 0 0 0 \n", "Premier_III 0 0 0 459 249 0 \n", "Premier_IV 0 158 211 1094 0 0 \n", "Premier_V 666 36 0 268 0 0 \n", "II_Première 0 0 350 0 852 0 \n", "II_II 0 0 126 159 13 186 \n", "II_III 0 0 0 21 0 0 \n", "II_IV 0 0 0 0 281 0 \n", "II_V 0 0 0 520 0 0 \n", "III_Première 245 3 74 729 0 0 \n", "III_II 107 0 0 0 0 0 \n", "III_III 0 0 0 0 0 0 \n", "III_IV 0 0 0 0 0 0 \n", "III_V 0 0 0 100 0 0 \n", "III_VI 0 16 0 66 0 0 \n", "III_VII 5 0 565 172 0 0 \n", "III_VIII 0 0 0 20 0 0 \n", "III_IX 6 0 38 75 0 0 \n", "IV_Première 0 54 229 0 0 0 \n", "IV_II 0 3 12 49 0 0 \n", "IV_III 0 0 383 364 0 0 \n", "IV_IV 0 0 158 148 0 0 \n", "IV_V 0 0 157 120 0 0 \n", "IV_VI 0 0 15 0 40 0 \n", "IV_VII 0 0 0 392 0 0 \n", "V_Première 0 0 0 84 0 0 \n", "V_II 0 0 0 168 0 0 \n", "V_III 600 0 0 429 0 0 \n", "V_IV 19 139 0 120 0 0 \n", "V_V 358 0 0 240 0 0 \n", "V_VI 0 0 125 87 0 0 \n", "\n", " FROSINE MAÎTRE JACQUES LA MERLUCHE BRINDAVOINE MARIANE \\\n", "Premier_Première 0 0 0 0 0 \n", "Premier_II 0 0 0 0 0 \n", "Premier_III 0 0 0 0 0 \n", "Premier_IV 0 0 0 0 0 \n", "Premier_V 0 0 0 0 0 \n", "II_Première 0 0 0 0 0 \n", "II_II 0 0 0 0 0 \n", "II_III 1 0 0 0 0 \n", "II_IV 116 0 0 0 0 \n", "II_V 1448 0 0 0 0 \n", "III_Première 0 734 22 20 0 \n", "III_II 0 184 0 0 0 \n", "III_III 18 11 0 0 0 \n", "III_IV 182 0 0 0 173 \n", "III_V 21 0 0 0 0 \n", "III_VI 7 0 0 0 32 \n", "III_VII 40 0 0 0 215 \n", "III_VIII 0 0 0 18 0 \n", "III_IX 0 0 28 0 0 \n", "IV_Première 395 0 0 0 218 \n", "IV_II 0 0 0 0 0 \n", "IV_III 0 0 0 0 0 \n", "IV_IV 0 292 0 0 0 \n", "IV_V 0 0 0 0 0 \n", "IV_VI 0 0 0 0 0 \n", "IV_VII 0 0 0 0 0 \n", "V_Première 0 0 0 0 0 \n", "V_II 0 317 0 0 0 \n", "V_III 0 11 0 0 0 \n", "V_IV 4 7 0 0 0 \n", "V_V 0 7 0 0 185 \n", "V_VI 0 24 0 0 34 \n", "\n", " LE COMMISSAIRE ANSELME \n", "Premier_Première 0 0 \n", "Premier_II 0 0 \n", "Premier_III 0 0 \n", "Premier_IV 0 0 \n", "Premier_V 0 0 \n", "II_Première 0 0 \n", "II_II 0 0 \n", "II_III 0 0 \n", "II_IV 0 0 \n", "II_V 0 0 \n", "III_Première 0 0 \n", "III_II 0 0 \n", "III_III 0 0 \n", "III_IV 0 0 \n", "III_V 0 0 \n", "III_VI 0 0 \n", "III_VII 0 0 \n", "III_VIII 0 0 \n", "III_IX 0 0 \n", "IV_Première 0 0 \n", "IV_II 0 0 \n", "IV_III 0 0 \n", "IV_IV 0 0 \n", "IV_V 0 0 \n", "IV_VI 0 0 \n", "IV_VII 0 0 \n", "V_Première 103 0 \n", "V_II 151 0 \n", "V_III 0 0 \n", "V_IV 0 0 \n", "V_V 0 378 \n", "V_VI 23 105 " ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Perso = df.columns\n", "NW=pd.DataFrame(index=df.index)\n", "for Name in Perso:\n", " NW[Name]=[NWords(Name,Scene) for Scene in df.index]\n", "NW" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Je génère un dataframe `NS` qui contient le nombre de répliques de chaque personnage dans chaque scène." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "def Nsentences(Name, Scene):\n", " N=0\n", " if isinstance(df[Name][Scene],list):\n", " N=len(df[Name][Scene])\n", " return N" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/html": [ "
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VALÈREÉLISECLÉANTEHARPAGONLA FLÈCHEMAÎTRE SIMONFROSINEMAÎTRE JACQUESLA MERLUCHEBRINDAVOINEMARIANELE COMMISSAIREANSELME
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Premier_II09100000000000
Premier_III000423300000000
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II_Première002102000000000
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II_III0001001000000
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III_Première1113400003021000
III_II140000001200000
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III_VII1023170020001000
III_VIII0002000002000
III_IX2026000040000
IV_Première02100006000600
IV_II0113000000000
IV_III002223000000000
IV_IV00890002100000
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IV_VI0050600000000
IV_VII0005000000000
V_Première0006000000070
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V_III300030000200000
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" ], "text/plain": [ " VALÈRE ÉLISE CLÉANTE HARPAGON LA FLÈCHE MAÎTRE SIMON \\\n", "Premier_Première 8 8 0 0 0 0 \n", "Premier_II 0 9 10 0 0 0 \n", "Premier_III 0 0 0 42 33 0 \n", "Premier_IV 0 24 29 56 0 0 \n", "Premier_V 24 4 0 22 0 0 \n", "II_Première 0 0 21 0 20 0 \n", "II_II 0 0 6 9 1 5 \n", "II_III 0 0 0 1 0 0 \n", "II_IV 0 0 0 0 6 0 \n", "II_V 0 0 0 35 0 0 \n", "III_Première 11 1 3 40 0 0 \n", "III_II 14 0 0 0 0 0 \n", "III_III 0 0 0 0 0 0 \n", "III_IV 0 0 0 0 0 0 \n", "III_V 0 0 0 2 0 0 \n", "III_VI 0 1 0 6 0 0 \n", "III_VII 1 0 23 17 0 0 \n", "III_VIII 0 0 0 2 0 0 \n", "III_IX 2 0 2 6 0 0 \n", "IV_Première 0 2 10 0 0 0 \n", "IV_II 0 1 1 3 0 0 \n", "IV_III 0 0 22 23 0 0 \n", "IV_IV 0 0 8 9 0 0 \n", "IV_V 0 0 19 18 0 0 \n", "IV_VI 0 0 5 0 6 0 \n", "IV_VII 0 0 0 5 0 0 \n", "V_Première 0 0 0 6 0 0 \n", "V_II 0 0 0 19 0 0 \n", "V_III 30 0 0 30 0 0 \n", "V_IV 1 2 0 4 0 0 \n", "V_V 15 0 0 11 0 0 \n", "V_VI 0 0 4 10 0 0 \n", "\n", " FROSINE MAÎTRE JACQUES LA MERLUCHE BRINDAVOINE MARIANE \\\n", "Premier_Première 0 0 0 0 0 \n", "Premier_II 0 0 0 0 0 \n", "Premier_III 0 0 0 0 0 \n", "Premier_IV 0 0 0 0 0 \n", "Premier_V 0 0 0 0 0 \n", "II_Première 0 0 0 0 0 \n", "II_II 0 0 0 0 0 \n", "II_III 1 0 0 0 0 \n", "II_IV 5 0 0 0 0 \n", "II_V 44 0 0 0 0 \n", "III_Première 0 30 2 1 0 \n", "III_II 0 12 0 0 0 \n", "III_III 2 1 0 0 0 \n", "III_IV 5 0 0 0 6 \n", "III_V 1 0 0 0 0 \n", "III_VI 2 0 0 0 5 \n", "III_VII 2 0 0 0 10 \n", "III_VIII 0 0 0 2 0 \n", "III_IX 0 0 4 0 0 \n", "IV_Première 6 0 0 0 6 \n", "IV_II 0 0 0 0 0 \n", "IV_III 0 0 0 0 0 \n", "IV_IV 0 21 0 0 0 \n", "IV_V 0 0 0 0 0 \n", "IV_VI 0 0 0 0 0 \n", "IV_VII 0 0 0 0 0 \n", "V_Première 0 0 0 0 0 \n", "V_II 0 24 0 0 0 \n", "V_III 0 2 0 0 0 \n", "V_IV 1 1 0 0 0 \n", "V_V 0 1 0 0 3 \n", "V_VI 0 1 0 0 1 \n", "\n", " LE COMMISSAIRE ANSELME \n", "Premier_Première 0 0 \n", "Premier_II 0 0 \n", "Premier_III 0 0 \n", "Premier_IV 0 0 \n", "Premier_V 0 0 \n", "II_Première 0 0 \n", "II_II 0 0 \n", "II_III 0 0 \n", "II_IV 0 0 \n", "II_V 0 0 \n", "III_Première 0 0 \n", "III_II 0 0 \n", "III_III 0 0 \n", "III_IV 0 0 \n", "III_V 0 0 \n", "III_VI 0 0 \n", "III_VII 0 0 \n", "III_VIII 0 0 \n", "III_IX 0 0 \n", "IV_Première 0 0 \n", "IV_II 0 0 \n", "IV_III 0 0 \n", "IV_IV 0 0 \n", "IV_V 0 0 \n", "IV_VI 0 0 \n", "IV_VII 0 0 \n", "V_Première 7 0 \n", "V_II 8 0 \n", "V_III 0 0 \n", "V_IV 0 0 \n", "V_V 0 14 \n", "V_VI 2 6 " ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "NS=pd.DataFrame(index=df.index)\n", "for Name in Perso:\n", " NS[Name]=[Nsentences(Name,Scene) for Scene in df.index]\n", "NS" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5,1,'Nombre de répliques par personnage et par scène')" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "fig = plt.figure()\n", "colors=['r','c','g','b','m','y','k','lightcoral','limegreen','grey','indigo','orange','deepskyblue']\n", "NS.plot(style='*', color=colors)\n", "plt.legend(loc='upper center', bbox_to_anchor=(1.5, 1.0), shadow=True, ncol=2)\n", "plt.title('Nombre de répliques par personnage et par scène')" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5,1,'Nombre de mots par personnage et par scène')" ] }, "execution_count": 50, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure()\n", "colors=['r','c','g','b','m','y','k','lightcoral','limegreen','grey','indigo','orange','deepskyblue']\n", "NW.plot(style='*', color=colors)\n", "plt.legend(loc='upper center', bbox_to_anchor=(1.5, 1.0), shadow=True, ncol=2)\n", "plt.title('Nombre de mots par personnage et par scène')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Je calcule le nombre total de répliques et de mots prononcés par chaque personnage. " ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "VALÈRE 2599\n", "ÉLISE 1022\n", "CLÉANTE 3168\n", "HARPAGON 5884\n", "LA FLÈCHE 1435\n", "MAÎTRE SIMON 186\n", "FROSINE 2232\n", "MAÎTRE JACQUES 1587\n", "LA MERLUCHE 50\n", "BRINDAVOINE 38\n", "MARIANE 857\n", "LE COMMISSAIRE 277\n", "ANSELME 483\n", "dtype: int64" ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ "NW.sum(axis=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Du plus silencieux au plus bavard:" ] }, { "cell_type": "code", "execution_count": 61, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "BRINDAVOINE 38\n", "LA MERLUCHE 50\n", "MAÎTRE SIMON 186\n", "LE COMMISSAIRE 277\n", "ANSELME 483\n", "MARIANE 857\n", "ÉLISE 1022\n", "LA FLÈCHE 1435\n", "MAÎTRE JACQUES 1587\n", "FROSINE 2232\n", "VALÈRE 2599\n", "CLÉANTE 3168\n", "HARPAGON 5884\n", "dtype: int64" ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ "NW.sum(axis=0).sort_values()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "C'est Harpagon qui prononce le plus de mots, et Brindavoine qui en prononce le moins. Je fais pareil avec les répliques:" ] }, { "cell_type": "code", "execution_count": 62, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/plain": [ "BRINDAVOINE 3\n", "MAÎTRE SIMON 5\n", "LA MERLUCHE 6\n", "LE COMMISSAIRE 17\n", "ANSELME 20\n", "MARIANE 31\n", "ÉLISE 52\n", "LA FLÈCHE 66\n", "FROSINE 69\n", "MAÎTRE JACQUES 93\n", "VALÈRE 106\n", "CLÉANTE 163\n", "HARPAGON 376\n", "dtype: int64" ] }, "execution_count": 62, "metadata": {}, "output_type": "execute_result" } ], "source": [ "NS.sum(axis=0).sort_values()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "De façon rassurante, en ne comptant que les répliques, on tombe sur un ordre très similaire. J'ai vérifié manuellement que Brindavoine n'a bien que 3 répliques, et Maître Simon 5, c'est bon. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Question 2\n", "Réalisez un graphique qui montrera le nombre de mots que chaque acteur prononce dans chaque scène. Pour cela, vous pouvez vous inspirer de l'étude de l'Avare de Molière réalisée par l'OBVIL (graphe de gauche). Dans ce graphique, les lignes sont de longueur égale et la hauteur représente le nombre de mots prononcés au total dans la scène. La largeur de chaque rectangle indique le pourcentage de la scène qu’un acteur occupe." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Pour calculer les hauteurs de chaque rectangle:" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Premier_Première 1056\n", "Premier_II 875\n", "Premier_III 708\n", "Premier_IV 1463\n", "Premier_V 970\n", "II_Première 1202\n", "II_II 484\n", "II_III 22\n", "II_IV 397\n", "II_V 1968\n", "III_Première 1827\n", "III_II 291\n", "III_III 29\n", "III_IV 355\n", "III_V 121\n", "III_VI 121\n", "III_VII 997\n", "III_VIII 38\n", "III_IX 147\n", "IV_Première 896\n", "IV_II 64\n", "IV_III 747\n", "IV_IV 598\n", "IV_V 277\n", "IV_VI 55\n", "IV_VII 392\n", "V_Première 187\n", "V_II 636\n", "V_III 1040\n", "V_IV 289\n", "V_V 1168\n", "V_VI 398\n", "dtype: int64" ] }, "execution_count": 65, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Height = NW.sum(axis=1)\n", "Height" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Je transforme ensuite le nombre de mots en pourcentage:" ] }, { "cell_type": "code", "execution_count": 108, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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VALÈREÉLISECLÉANTEHARPAGONLA FLÈCHEMAÎTRE SIMONFROSINEMAÎTRE JACQUESLA MERLUCHEBRINDAVOINEMARIANELE COMMISSAIREANSELME
Premier_Première0.5615530.4384470.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
Premier_II0.0000000.1714290.8285710.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
Premier_III0.0000000.0000000.0000000.6483050.3516950.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
Premier_IV0.0000000.1079970.1442240.7477790.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
Premier_V0.6865980.0371130.0000000.2762890.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
II_Première0.0000000.0000000.2911810.0000000.7088190.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
II_II0.0000000.0000000.2603310.3285120.0268600.3842980.0000000.0000000.0000000.0000000.0000000.0000000.000000
II_III0.0000000.0000000.0000000.9545450.0000000.0000000.0454550.0000000.0000000.0000000.0000000.0000000.000000
II_IV0.0000000.0000000.0000000.0000000.7078090.0000000.2921910.0000000.0000000.0000000.0000000.0000000.000000
II_V0.0000000.0000000.0000000.2642280.0000000.0000000.7357720.0000000.0000000.0000000.0000000.0000000.000000
III_Première0.1341000.0016420.0405040.3990150.0000000.0000000.0000000.4017520.0120420.0109470.0000000.0000000.000000
III_II0.3676980.0000000.0000000.0000000.0000000.0000000.0000000.6323020.0000000.0000000.0000000.0000000.000000
III_III0.0000000.0000000.0000000.0000000.0000000.0000000.6206900.3793100.0000000.0000000.0000000.0000000.000000
III_IV0.0000000.0000000.0000000.0000000.0000000.0000000.5126760.0000000.0000000.0000000.4873240.0000000.000000
III_V0.0000000.0000000.0000000.8264460.0000000.0000000.1735540.0000000.0000000.0000000.0000000.0000000.000000
III_VI0.0000000.1322310.0000000.5454550.0000000.0000000.0578510.0000000.0000000.0000000.2644630.0000000.000000
III_VII0.0050150.0000000.5667000.1725180.0000000.0000000.0401200.0000000.0000000.0000000.2156470.0000000.000000
III_VIII0.0000000.0000000.0000000.5263160.0000000.0000000.0000000.0000000.0000000.4736840.0000000.0000000.000000
III_IX0.0408160.0000000.2585030.5102040.0000000.0000000.0000000.0000000.1904760.0000000.0000000.0000000.000000
IV_Première0.0000000.0602680.2555800.0000000.0000000.0000000.4408480.0000000.0000000.0000000.2433040.0000000.000000
IV_II0.0000000.0468750.1875000.7656250.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
IV_III0.0000000.0000000.5127180.4872820.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
IV_IV0.0000000.0000000.2642140.2474920.0000000.0000000.0000000.4882940.0000000.0000000.0000000.0000000.000000
IV_V0.0000000.0000000.5667870.4332130.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
IV_VI0.0000000.0000000.2727270.0000000.7272730.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
IV_VII0.0000000.0000000.0000001.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
V_Première0.0000000.0000000.0000000.4491980.0000000.0000000.0000000.0000000.0000000.0000000.0000000.5508020.000000
V_II0.0000000.0000000.0000000.2641510.0000000.0000000.0000000.4984280.0000000.0000000.0000000.2374210.000000
V_III0.5769230.0000000.0000000.4125000.0000000.0000000.0000000.0105770.0000000.0000000.0000000.0000000.000000
V_IV0.0657440.4809690.0000000.4152250.0000000.0000000.0138410.0242210.0000000.0000000.0000000.0000000.000000
V_V0.3065070.0000000.0000000.2054790.0000000.0000000.0000000.0059930.0000000.0000000.1583900.0000000.323630
V_VI0.0000000.0000000.3140700.2185930.0000000.0000000.0000000.0603020.0000000.0000000.0854270.0577890.263819
\n", "
" ], "text/plain": [ " VALÈRE ÉLISE CLÉANTE HARPAGON LA FLÈCHE \\\n", "Premier_Première 0.561553 0.438447 0.000000 0.000000 0.000000 \n", "Premier_II 0.000000 0.171429 0.828571 0.000000 0.000000 \n", "Premier_III 0.000000 0.000000 0.000000 0.648305 0.351695 \n", "Premier_IV 0.000000 0.107997 0.144224 0.747779 0.000000 \n", "Premier_V 0.686598 0.037113 0.000000 0.276289 0.000000 \n", "II_Première 0.000000 0.000000 0.291181 0.000000 0.708819 \n", "II_II 0.000000 0.000000 0.260331 0.328512 0.026860 \n", "II_III 0.000000 0.000000 0.000000 0.954545 0.000000 \n", "II_IV 0.000000 0.000000 0.000000 0.000000 0.707809 \n", "II_V 0.000000 0.000000 0.000000 0.264228 0.000000 \n", "III_Première 0.134100 0.001642 0.040504 0.399015 0.000000 \n", "III_II 0.367698 0.000000 0.000000 0.000000 0.000000 \n", "III_III 0.000000 0.000000 0.000000 0.000000 0.000000 \n", "III_IV 0.000000 0.000000 0.000000 0.000000 0.000000 \n", "III_V 0.000000 0.000000 0.000000 0.826446 0.000000 \n", "III_VI 0.000000 0.132231 0.000000 0.545455 0.000000 \n", "III_VII 0.005015 0.000000 0.566700 0.172518 0.000000 \n", "III_VIII 0.000000 0.000000 0.000000 0.526316 0.000000 \n", "III_IX 0.040816 0.000000 0.258503 0.510204 0.000000 \n", "IV_Première 0.000000 0.060268 0.255580 0.000000 0.000000 \n", "IV_II 0.000000 0.046875 0.187500 0.765625 0.000000 \n", "IV_III 0.000000 0.000000 0.512718 0.487282 0.000000 \n", "IV_IV 0.000000 0.000000 0.264214 0.247492 0.000000 \n", "IV_V 0.000000 0.000000 0.566787 0.433213 0.000000 \n", "IV_VI 0.000000 0.000000 0.272727 0.000000 0.727273 \n", "IV_VII 0.000000 0.000000 0.000000 1.000000 0.000000 \n", "V_Première 0.000000 0.000000 0.000000 0.449198 0.000000 \n", "V_II 0.000000 0.000000 0.000000 0.264151 0.000000 \n", "V_III 0.576923 0.000000 0.000000 0.412500 0.000000 \n", "V_IV 0.065744 0.480969 0.000000 0.415225 0.000000 \n", "V_V 0.306507 0.000000 0.000000 0.205479 0.000000 \n", "V_VI 0.000000 0.000000 0.314070 0.218593 0.000000 \n", "\n", " MAÎTRE SIMON FROSINE MAÎTRE JACQUES LA MERLUCHE \\\n", "Premier_Première 0.000000 0.000000 0.000000 0.000000 \n", "Premier_II 0.000000 0.000000 0.000000 0.000000 \n", "Premier_III 0.000000 0.000000 0.000000 0.000000 \n", "Premier_IV 0.000000 0.000000 0.000000 0.000000 \n", "Premier_V 0.000000 0.000000 0.000000 0.000000 \n", "II_Première 0.000000 0.000000 0.000000 0.000000 \n", "II_II 0.384298 0.000000 0.000000 0.000000 \n", "II_III 0.000000 0.045455 0.000000 0.000000 \n", "II_IV 0.000000 0.292191 0.000000 0.000000 \n", "II_V 0.000000 0.735772 0.000000 0.000000 \n", "III_Première 0.000000 0.000000 0.401752 0.012042 \n", "III_II 0.000000 0.000000 0.632302 0.000000 \n", "III_III 0.000000 0.620690 0.379310 0.000000 \n", "III_IV 0.000000 0.512676 0.000000 0.000000 \n", "III_V 0.000000 0.173554 0.000000 0.000000 \n", "III_VI 0.000000 0.057851 0.000000 0.000000 \n", "III_VII 0.000000 0.040120 0.000000 0.000000 \n", "III_VIII 0.000000 0.000000 0.000000 0.000000 \n", "III_IX 0.000000 0.000000 0.000000 0.190476 \n", "IV_Première 0.000000 0.440848 0.000000 0.000000 \n", "IV_II 0.000000 0.000000 0.000000 0.000000 \n", "IV_III 0.000000 0.000000 0.000000 0.000000 \n", "IV_IV 0.000000 0.000000 0.488294 0.000000 \n", "IV_V 0.000000 0.000000 0.000000 0.000000 \n", "IV_VI 0.000000 0.000000 0.000000 0.000000 \n", "IV_VII 0.000000 0.000000 0.000000 0.000000 \n", "V_Première 0.000000 0.000000 0.000000 0.000000 \n", "V_II 0.000000 0.000000 0.498428 0.000000 \n", "V_III 0.000000 0.000000 0.010577 0.000000 \n", "V_IV 0.000000 0.013841 0.024221 0.000000 \n", "V_V 0.000000 0.000000 0.005993 0.000000 \n", "V_VI 0.000000 0.000000 0.060302 0.000000 \n", "\n", " BRINDAVOINE MARIANE LE COMMISSAIRE ANSELME \n", "Premier_Première 0.000000 0.000000 0.000000 0.000000 \n", "Premier_II 0.000000 0.000000 0.000000 0.000000 \n", "Premier_III 0.000000 0.000000 0.000000 0.000000 \n", "Premier_IV 0.000000 0.000000 0.000000 0.000000 \n", "Premier_V 0.000000 0.000000 0.000000 0.000000 \n", "II_Première 0.000000 0.000000 0.000000 0.000000 \n", "II_II 0.000000 0.000000 0.000000 0.000000 \n", "II_III 0.000000 0.000000 0.000000 0.000000 \n", "II_IV 0.000000 0.000000 0.000000 0.000000 \n", "II_V 0.000000 0.000000 0.000000 0.000000 \n", "III_Première 0.010947 0.000000 0.000000 0.000000 \n", "III_II 0.000000 0.000000 0.000000 0.000000 \n", "III_III 0.000000 0.000000 0.000000 0.000000 \n", "III_IV 0.000000 0.487324 0.000000 0.000000 \n", "III_V 0.000000 0.000000 0.000000 0.000000 \n", "III_VI 0.000000 0.264463 0.000000 0.000000 \n", "III_VII 0.000000 0.215647 0.000000 0.000000 \n", "III_VIII 0.473684 0.000000 0.000000 0.000000 \n", "III_IX 0.000000 0.000000 0.000000 0.000000 \n", "IV_Première 0.000000 0.243304 0.000000 0.000000 \n", "IV_II 0.000000 0.000000 0.000000 0.000000 \n", "IV_III 0.000000 0.000000 0.000000 0.000000 \n", "IV_IV 0.000000 0.000000 0.000000 0.000000 \n", "IV_V 0.000000 0.000000 0.000000 0.000000 \n", "IV_VI 0.000000 0.000000 0.000000 0.000000 \n", "IV_VII 0.000000 0.000000 0.000000 0.000000 \n", "V_Première 0.000000 0.000000 0.550802 0.000000 \n", "V_II 0.000000 0.000000 0.237421 0.000000 \n", "V_III 0.000000 0.000000 0.000000 0.000000 \n", "V_IV 0.000000 0.000000 0.000000 0.000000 \n", "V_V 0.000000 0.158390 0.000000 0.323630 \n", "V_VI 0.000000 0.085427 0.057789 0.263819 " ] }, "execution_count": 108, "metadata": {}, "output_type": "execute_result" } ], "source": [ "NW_percent=NW.div(Height, axis=0)\n", "NW_percent" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nombre total de mots:" ] }, { "cell_type": "code", "execution_count": 90, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "19818" ] }, "execution_count": 90, "metadata": {}, "output_type": "execute_result" } ], "source": [ "NWtot=Height.sum()\n", "NWtot" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Il reste à faire une jolie figure avec ça..." ] }, { "cell_type": "code", "execution_count": 110, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "VALÈRE 0.561553\n", "ÉLISE 0.438447\n", "CLÉANTE 0.000000\n", "HARPAGON 0.000000\n", "LA FLÈCHE 0.000000\n", "MAÎTRE SIMON 0.000000\n", "FROSINE 0.000000\n", "MAÎTRE JACQUES 0.000000\n", "LA MERLUCHE 0.000000\n", "BRINDAVOINE 0.000000\n", "MARIANE 0.000000\n", "LE COMMISSAIRE 0.000000\n", "ANSELME 0.000000\n", "Name: Premier_Première, dtype: float64" ] }, "execution_count": 110, "metadata": {}, "output_type": "execute_result" } ], "source": [ "NW_percent.loc[scene, : ]" ] }, { "cell_type": "code", "execution_count": 152, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "previous=1\n", "fig=plt.figure()\n", "plt.rcParams['figure.figsize'] = [8, 15]\n", "plt.rcParams['figure.dpi'] = 200\n", "acte=''\n", "for scene in NW.index:\n", " h=Height[scene]/NWtot\n", " acte=scene.split('_')[0]\n", " sc=scene.split('_')[1]\n", " ax = fig.add_axes([0.05, previous-h, .8, h], xticks=[],yticks=[])\n", " fig.text(0.86, previous-h*0.6, 'Acte '+acte+' Scène '+sc,fontsize=10)\n", " start=0\n", " i=0\n", " for perso in NW.columns:\n", " width = NW_percent[perso][scene]\n", " ax.barh([acte],[width] , left=[start], height=1, color=[colors[i]])\n", " start+=width\n", " i+=1\n", " plt.ylim(-.5,.5)\n", " #ax.barh(labels, widths, left=starts, height=0.5,label=colname, color=color)\n", " plt.xlim(0,1)\n", " previous-=h\n", "\n" ] }, { "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 }