diff --git a/module3/exo3/Exercice pratique.ipynb b/module3/exo3/Exercice pratique.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..0f783ee8373dcd103ef77e226445173453283eda --- /dev/null +++ b/module3/exo3/Exercice pratique.ipynb @@ -0,0 +1,3961 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "# Sujet 5: Analyse des dialogues dans l'Avare de Molière" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "J'ai choisi de partir du format markdown. Je commence par télécharger le fichier." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "outputs": [], + "source": [ + "import os\n", + "import urllib.request \n", + "data_url = \"http://dramacode.github.io/markdown/moliere_avare.txt\"\n", + "data_file = \"moliere_avare.txt\"\n", + "if not os.path.exists(data_file):\n", + " urllib.request.urlretrieve(data_url, data_file) \n", + " print(\"Download from http://dramacode.github.io/markdown/moliere_avare.txt\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Je voudrais faire un dataframe contenant pour chaque scène les interventions de chaque personnage. " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Je commence par lire le fichier markdown. " + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "outputs": [], + "source": [ + "text=open(data_file,'r')\n", + "Lines = text.readlines()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Je parse le texte de façon à récupérer le nom des personnages. " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "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": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Je récupère de même les actes et les scènes:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "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": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "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", + "Scenes" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "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 scène. " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "hideCode": false, + "hidePrompt": false, + "scrolled": false + }, + "outputs": [], + "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 the 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" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Je vérifie une entrée:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[\"Me voilà prête à vous ouïr, mon Frère. Qu'avez-vous à me dire ?\",\n", + " 'Vous aimez ?',\n", + " 'Vous êtes-vous engagé, mon Frère, avec celle que vous aimez ?',\n", + " 'Suis-je, mon Frère, une si étrange personne ?',\n", + " \"Hélas ! mon Frère, ne parlons point de ma sagesse. Il n'est personne qui n'en manque du moins une fois en sa vie ; et si je vous ouvre mon cœur, peut-être serai-je à vos yeux bien moins sage que vous.\",\n", + " 'Finissons auparavant votre affaire, et me dites qui est celle que vous aimez.',\n", + " \"J'en vois beaucoup, mon Frère, dans les choses que vous me dites ; et pour comprendre ce qu'elle est, il me suffit que vous l'aimez.\",\n", + " 'Oui, je conçois assez, mon Frère, quel doit être votre chagrin.',\n", + " 'Il est bien vrai que tous les jours il nous donne, de plus en plus, sujet de regretter la mort de notre Mère, et que…']" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['ÉLISE']['Premier_II']" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "9\n" + ] + } + ], + "source": [ + "print(len(df['ÉLISE']['Premier_II']))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Il y a 9 répliques d'Élise dans l'acte I scène 2. " + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "41" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(df['ÉLISE']['Premier_II'][4].split(' '))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Il y a 41 mots dans la 5ème réplique (en coupant simplement aux espaces). \n", + "J'ai à présent un objet que je peux utiliser pour répondre aux questions posées.\n", + "\n", + "\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" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "hideCode": false, + "hideOutput": true, + "hidePrompt": false, + "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": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Je génère un dataframe `NW` qui contient le nombre de mots de chaque personnage dans chaque scène." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "593" + ] + }, + "execution_count": 11, + "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": 12, + "metadata": { + "hideCode": false, + "hideOutput": true, + "hidePrompt": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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VALÈREÉLISECLÉANTEHARPAGONLA FLÈCHEMAÎTRE SIMONFROSINEMAÎTRE JACQUESLA MERLUCHEBRINDAVOINEMARIANELE COMMISSAIREANSELME
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IV_Première05422900039500021800
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IV_VI001504000000000
IV_VII000392000000000
V_Première0008400000001030
V_II0001680003170001510
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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": 12, + "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": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Je génère un dataframe `NS` qui contient le nombre de répliques de chaque personnage dans chaque scène." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "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": 14, + "metadata": { + "hideCode": false, + "hideOutput": true, + "hidePrompt": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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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": 14, + "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": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Je fais des graphs simples pour visualiser rapidement les données: " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5,1,'Nombre de répliques par personnage et par scène')" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "
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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=['steelblue','lightsteelblue','darkorange','peachpuff','mediumseagreen','mediumaquamarine','firebrick','lightcoral','slateblue','thistle','c','powderblue','darkgrey']\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": 16, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5,1,'Nombre de mots par personnage et par scène')" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "
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lTHkNGTKE2NhYevTo4QyLjY1l7ty5AFgsFtq0acOKFSsYOXJksfktXryYyMjIAuETJ05k8uTJpKen07p1awYOHIiPjw8Ac+fO9dgYuZvZzp/n0vLl+A0ciMnfv8z5Va1aldTUVC5fvoyvry9r164lKCjILc2ZM2dITk7G39+fvXv3Ehoa6hb/7rvvAvZGXFRUFNu2bXPGrV692nkdN2zYwNNPP016erozvrD7ojA///wzNpuNxMRELl68SNWqVQF4//33Wbt2Ld9//z0BAQGcPXuWlStXAvDyyy9z/vx5du/ejZeXFx9//DF9+/YlKSnpusr0dB9Onz6dbt26MWHCBABSUlKu+xjyFNvjKSL/EpFjIpLqIW6yiBgiUtMl7CURyRCRNBHp4RLeWkR+csT9TRwzT9Xtp83f/07LV1+l2gMP0PLVV2nz979XdJWUUnexJd+kk3rgFIsT04tPXIyBAweyevVqchxz2a1WK4cPH6Zjx45kZmZy4cIFZs6c6dZLWRaNGjXCz8+P06dPl0t+d6qcxERy9+8npxyndT3++ON88cUXgP0Pivy9icuXL6d3795ER0cTGxtb6nLat2/PoUOHylTXJUuWMHz4cLp3786qVauc4a+99hrvvfceAQEBAFSrVo0RI0Zw6dIlPv74Y+bNm4eXlxcAv/3tb/H392fdunWlrkdWVhbBwcHO7ZYtW5Y4j+sZal8I9MwfKCL1gG7AfpewcCAaaObY5z0R8XJE/x14Gmjk+BTIUymllLpevWevocdfvmB10n4MA1Yn7afHX76g9+w1pc6zRo0atG3bloSEBMDe2zl48GBExNk4eeSRR0hLS+PYsWPF5jds2DDncOWUKVMKxCcnJ9OoUSNq1arlDJsyZYpzn2HDhpX6WO4EZ2fN4uyMGVzZuhUMgytbt3J2xgzOzppV5rzzGpTZ2dmkpKTQrl07t/i86z1kyJAy/aGRkJBAv3793MKKuy/yi4uLY/DgwW51OX/+POfPnycsLKxA+oyMDOrXr+9skOaJjIxk53U+COzpPhw7diyjR4+mS5cuzJo1i8OHD19XXq6KHWo3DCNRREI8RM0DpgLxLmF9gVjDMHKAvSKSAbQVESsQYBjG/wBE5FOgH1D6fx2UUkrd1RaO68JH635m064j5FyzUdnbxMNNa/O7bg+UKd+84fa+ffsSGxvLv/71L8DeCF2xYgUmk4knn3ySpUuXMnbs2CLzKmxIdd68eXz00Ufs2bPH2cjNo0Ptv7hn/Hiyv/qKq7t2wbVr4O2NzwMPUKV79zLn3bJlS6xWKxaLpcBcxaNHj5KRkUHHjh0REby9vUlNTS0wL7IoU6ZMYerUqRw7dozNmze7xZVkqP2HH34gMDCQBg0aEBwczKhRozh9+jReXl4UNnhsGIbHOMMwAArdzzXc033Yo0cP5z27Zs0aHnzwQVJTUwkswXMepXq4SET6AIcMw9ieLyoIOOCyfdARFuT4nj+8sPyfFpGtIrL1uM4fVEop5UGNe6rgV9mbK7k2KnmbuJJrw6+yd5nnefbr14/169eTnJzM5cuXadWqFSkpKaSnp9OtWzdCQkKIjY0tUy/YxIkTSUtLIy4ujqeeeors7Owy1flOZbrnHqRyZcjNBW9vyM1FKlcul3meAH369GHy5MkFhtnj4uI4ffo0oaGhhISEYLVaSzzcPnfuXDIyMpg5cyYjRowodR0tFgu7du0iJCSEsLAwzp07x/LlywkICKBq1ars2bOnwD4NGzZk3759nD9/3i08OTmZyMhIatSoUWB6x6lTp6hZsybFue+++xg6dCiLFi2iTZs2JCYmluh4StzwFBE/4BVguqdoD2FGEeEeGYbxoWEYkYZhRJakFa2UUurucvpCDk+0asD83z7ME60acOpCTvE7FcPf35/OnTszatQoZ4PEYrEQExOD1Wp1zvs8dOgQ+/btK1NZTz75JJGRkXzyySdlrvedynbxIpVat8Z/9GgqtW6N7cKFcst71KhRTJ8+nRYtWriFWywWEhISnNc7KSmpVPM8TSYTEyZMwGazFXhbwvWw2WwsXbqUlJQUZ13i4+Odf/S89NJLjB07lnPnzgFw7tw5PvzwQ6pWrcqIESP44x//SG5uLgCffvopVapU4eGHH8bf3586deo4n7Y/deoUCQkJdOxY4H3vbr7++msuXboE2If6MzMzqV+/fomOqTRPtYcBocB2R5dsMJAsIm2x92TWc0kbDBx2hAd7CFdKKaVK7c+Dfhmu/H2v6x8GLc6QIUN48sknnY2N2NhY1qxxnx3Wv39/YmNjadeuHevXr3d76GLp0qWAfS6fr68vADVr1vT4YMf06dMZOnQov/vd7wD7EO3MmTOd8d9//z2VKlUqt2O73VQdPNj53feJJ8o17+DgYOcT2nmsViv79+/noYcecoaFhoYSEBDAli1bSlyGiDBt2jTeeOMN59sSirsvrl27RuXKlUlMTCQoKMjtiftOnTqxc+dOsrKyeO6557hw4QJt2rTBx8cHHx8fJk2aBMDs2bOZMmUKTZo04fLlywQGBvK///3POZz+6aefMnbsWGf6P//5z27zRT3dh0lJSYwbNw5vb29sNhtjxoyhTZs2JTsfeeP9xZy0EGC1YRgFfqsd8zcjDcM4ISLNgCVAW6AusB5oZBhGroj8APwe2AL8F3jHMIz/Fld2ZGSksXXr1us+IKWUUiAiSYZhXP/7Wm4RSUlJRuvWrSu6GkpVqIkTJ9KoUSPn+2PL6siRI/Ts2ZPnn3+ep59+ulzyLEpSUhIzZsx4B9i9atWqBa5xxfZ4iogF6AzUFJGDwJ8Nw/inp7SGYewQkc+AncA1YKxhGLmO6OewPyHvi/2hIn2wSCmllFLKxeOPP86VK1eIiYkptzxr167t9p7RinQ9T7UXfE2+e3xIvu1ZQIH3HBiGsRUov3EQpZRSSqk7TP4pHXcaXTJTKaWUUkrdFNrwVEoppZRSN4U2PJVSSql8bDYbPXr0YP/+/cUnVkpdN214KqWUUvns3buXl19+ucTvKFRKFU0bnkoppZQLLy8vBgwYwIQJEzCbzbz++usAdO7cmfyv99u4cSNRUVGAfZnFqKgoIiIiCA8Pdy7DaLVa8fX1da57bTab+fTTT2/uQSk3/kWsfBQREVFgJSNXMTExiAgZGRnOsHnz5iEizvsjJCSEFi1aOK/3+PHjARg5ciShoaGYzWYiIiKcL3AHz/fXwoULGTdunFuYa7oLFy7wzDPPEBYWRrNmzejUqZPzXaP5j9E1r5iYGIKCgtzuyTNnzhR6zOWpNC+QV0oppW4Z2VeusTXtGJFNalGlUtn/W/P19S3Vq2emT59Ot27dnC8kT0lJccaFhYXdMq+zuR2dPX2Vfy3Yy6jfh1LtXp8bVs7PP/+MzWYjMTGRixcvUrVqVY/pWrRoQWxsLNOmTQNg2bJlhIeHu6XZsGGDxyUo89ZA37BhA08//TTp6emlru+YMWMIDQ0lPT0dk8nEnj17+Pnnn69r34kTJzJ58uRSl11a2uOplFLqtpZ24Awnz+WQduDm9NgUJisry231opYtW1Zgbe4sa1ZkkZl2gTX/ybqh5SxZsoThw4fTvXt3Vq1aVWi6fv36ER8fD8CePXuoVq0aJV3iu3379hw6dKjUdc3MzGTLli3MnDkTk8nenLv//vt5opxXdypv2uOplFLqtvT5Jis2l9X3rEfOYz1yHpMIvTuElDrfy5cvYzabndsvvfQSg12WbSzM2LFjGTx4MAsWLOCxxx7jt7/9LXXr1gXsjQTXPN955x0eeeSRUtfxbjFh5I9cu/rLNf5m/Qm+WX8Cbx/hrwsfLPfy4uLiWLt2LWlpaSxYsKDQIfeAgADq1atHamoq8fHxDB48mI8//tgtTZcuXfDy8gJgxIgRTJw40S0+ISGBfv36lbquO3bswGw2O8vIL/99fOrUKfr06ePcnjdvHv/+978BqF69Ohs2bCh1XUpCG55KKaVuS90ig0nde4ojpy6RazPwMgl1avjRLOS+MuVb2qH2Hj16sGfPHhISElizZg0PPvggqampgA61l9ar85rznyUH2b71DFevGPhUEsyR99J/WHDxO5fQDz/8QGBgIA0aNCA4OJhRo0Zx+vRpqlev7jF9dHQ0sbGxfPnll6xfv75Aw7OwofYpU6YwdepUjh07xubNm4usU9666tcb7ir/fbxw4UK3OaQ61K6UUkqVQJVK3vh4m8i1GZhEyLUZeHuZymWeZ2ndd999DB06lEWLFtGmTRsSExMrrC53gmrVfaji68W1qwbePsK1qwZVfL1uyDxPi8XCrl27CAkJISwsjHPnzrF8+fJC0/fu3ZtFixZRv359AgICrrucuXPnkpGRwcyZMxkxYkSRaWvUqMHp06fdwk6dOkXNmjVp1qwZ27dvx2azXXfZtwJteCqllLpt5VzJJaT2PXSKqENI7XvIuZJbYXX5+uuvuXTpEgDnz58nMzNTX8dUDs6fvUrHrjWZMqMJHbvW5NzZq+Vehs1mY+nSpaSkpGC1WrFarcTHx2OxWArdx9fXlzlz5vDKK6+UuDyTycSECROw2Wx8+eWXhaZr06YN3333HUeOHAFg69at5OTkUK9ePcLCwoiMjOTPf/4zhmPKSXp6unPu6a1Kh9qVUkrdtto+8Cvn94iwyuWSZ/65cT179nS+UumJJ57Ax8fe29a+fXvGjh3rTJeUlMS4cePw9vbGZrMxZswY2rRpg9VqLTDHc9SoUc5X7KiiPT0xzPk9+rfl05C/dOmS24Ngf/zjHwkKCiIoKMgZ1qlTJ3bu3ElWVhZ16tTxmE90dHShZbjO8WzZsmWBV2iJCNOmTeONN96gR48eQMH7a+nSpfz1r3+lV69e2Gw2/P39sVgszoeJ/vGPfzBp0iQaNmyIn58fNWrUYO7cudd1DlzneAKsXLmSkJCQ69q3LMRwmZh9K4qMjDTyv9dKKaVU0UQkyTCMyIquR0klJSUZrVu3ruhqKKXKICkpiRkzZrwD7F61atUC1zgdaldKKaWUUjeFNjyVUkoppdRNoQ1PpZRSSil1U2jDUymllFJK3RTa8FRKKaXK6G9/+xsLFiwoPqFSd7liG54i8i8ROSYiqS5hc0Vkl4ikiMgKEbnXJe4lEckQkTQR6eES3lpEfnLE/U2u57X7Siml1G3A39+fcePGVXQ1lLrlXU+P50KgZ76wtUBzwzBaAruBlwBEJByIBpo59nlPRPIWEf078DTQyPHJn6dSSilV4Y4cOUJ0dDRhYWGEh4fTq1cvdu/eTfPmzQukHTlyJKGhofztb3/DbDbToUMHt/i+ffvSvn17t7CYmBj8/Pw4duyYM8zf35+TJ09iNpsxm83Url2boKAg5/aVK1fw8vJybpvNZue7RVXJ5Z3LiIgIWrVqxaZNmwCwWq34+vpiNpsJDw/nqaee4upV+wvrN27cSFRUFGBfftJkMpGSkuLMs3nz5litVgBCQkJo0aIFLVq0IDw8nGnTppGTk+NWh3nz5lGlShXOnj0LwMWLF6lRo4ZzO0+/fv347LPPAPu7Nlu2bEnTpk1p0aIFK1eudKYbOXIky5YtA6Bz585ERv7yNrWtW7fSuXNn53FUq1bN7V5at25dmc5nSRTb8DQMIxE4lS/sK8Mwrjk2NwN5b2HtC8QahpFjGMZeIANoKyJ1gADDMP5n2F8c+inQr7wOQiml1F3sQhbE/T+4eKTMWRmGQf/+/encuTOZmZns3LmT1157jaNHjxa6z9y5c9m2bRvbtm1zNmAAzpw5Q3JyMmfOnGHv3r1u+9SsWZO33nrLLaxGjRrOfJ599lkmTpzo3K5UqZJz7e28z4svvljm471dXMu5xv4f93Mt51rxia9D3rncvn07s2fP5qWXXnLGhYWFsW3bNn766ScOHjzobPTlFxwczKxZswotY8OGDfz00098//337Nmzh6efftot3mKx0KZNG1asWAFA1apV6d69u1tj8uzZs3z77bdERUWxfft2Jk+eTHx8PLt27WLVqlVMnjzZrfHr6tixY6xZs8Zj3COPPOJ2Lz322GOFHkd5K485nqOAvCMLAg64xB10hAU5vucPV0oppcpm81/g4Lfwv1fLnNWGDRvw8fH3hKlqAAAgAElEQVTh2WefdYaZzWbq1atX4ryWL19O7969iY6OJjY21i1u1KhRxMXFcerUqUL2Vq5OWE9w+exlTlhPlHve586do3r16gXCvby8aNu2LYcOHfK4X1RUFDt27CAtLa3I/P39/Xn//fdZuXKl83pnZmZy4cIFZs6c6bYs55AhQ9zulRUrVtCzZ0/8/Px48803efnllwkNDQUgNDSUl156qdCViqZMmcLMmTOLPvgKUKaGp4i8AlwDFucFeUhmFBFeWL5Pi8hWEdl6/PjxslRRKaXUnWq+L7wlsP3vgM3+8y2xh5dSamoqJV05acqUKc4hy2HDhjnDLRYLQ4YMYciQIQXW/Pb392fUqFH89a9/ve5y8pbyzPvExcWVqJ63o92Ju0nbmMbZLPvw89mss6RtTGN34u4y5Zt3Lps2bcqYMWP405/+VCBNdnY2W7ZsoWdPzzMDTSYTU6dO5bXXXiu2vICAAEJDQ0lPTwd+uTceeeQR0tLSnNMuevbsSVJSEidPngQgNjaWIUOGALBjx44C92ZkZCQ7duzwWGb79u2pXLkyGzZsKBD3zTffuN1LmZmZxR5DeSl1w1NERgBRwDDjl3U3DwKufxYGA4cd4cEewj0yDONDwzAiDcOIDAwMLG0VlVJK3cnG7IGmQ8Hbz77t7QdNh8Hv9ha9XzlzHWpfvNjeD3P06FEyMjLo2LEjjRs3xtvbm9TUVLf9xo8fzyeffMK5c+euq5z8Q+2DBw8u92O51dzf7n7uqXUPYrL3X4lJuKfWPdzf7v4y5Zt3Lnft2kVCQgJPPfUUeU2ZzMxMzGYzNWrUoH79+rRs2bLQfIYOHcrmzZsLTKXwxHWJ8tjYWKKjozGZTDz55JMsXboUgEqVKtGnTx+WLVvGiRMn2LZtG927d3fun/+5bE9hrqZNm+ax1zP/UHtYWFix9S8vpWp4ikhP4AWgj2EYl1yiVgHRIlJZREKxP0T0vWEYWcB5EXnI8TT7U0B8GeuulFLqbuZfByoFwLVs8Kpi/1k5AKrWLnWWzZo1IykpqcxVi4uL4/Tp04SGhhISEoLVai0w3H7vvfcydOhQ3nvvvTKXd6fyruyNycuEYTMQk2DYDExeJrwre5dbGe3bt+fEiRPkjbDmzfHMyMhg8+bNrFq1qvD6eXszadIk5syZU2QZ58+fx2q10rhxY1JSUkhPT6dbt26EhIQQGxvrcbh92bJl9O3bFx8fH8B+b27dutUt3+TkZMLDwwst99FHHyU7O5vNmzcXex5ulut5nZIF+B/QREQOishoYAFwD7BWRLaJyPsAhmHsAD4DdgIJwFjDMHIdWT0H/AP7A0eZ/DIvVCmllCqdS0ch4lkYutn+s4wPGD366KPk5OTw0UcfOcN++OEH9u3bV6J8LBYLCQkJWK1WrFYrSUlJBRqeAH/84x/54IMPuHatfB6auRPlXs2lWt1q1G9Vn2p1q5F7Nbf4nUpg165d5ObmUqNGDbfwOnXq8PrrrzN79uwi9x85ciTr1q2jsKmBFy5c4Pnnn6dfv35Ur14di8VCTEyM8944fPgwhw4dct5jXbp0IT09nXfffdc5zA4wefJkZs+e7Xxy3mq18tprrzFp0qQi6/fKK6/wxhtvFHcabppi/2QwDGOIh+B/FpF+FlDgMS/DMLYCBd9FoZRSSpVW3//88v2xd8ucnYiwYsUK/vCHP/D6669TpUoVQkJCmD9/PmlpaQQH/zJrbN68eUDBhzg+++wz9u/fz0MPPeQMCw0NJSAggC1btriVV7NmTfr37+/Mqyh58xLz9OzZ8654pVJQ81+eRa7duPS92a5cz6VhGHzyySd4eXkVSNevXz9iYmL45ptvCs2rUqVKjB8/ngkTJriFd+nSBcMwsNls9O/f3zmPNDY2tsDT5v379yc2NpYXXngBk8nEgAEDWLp0KZ06dXKmMZvNzJkzh969e3P16lV8fHx444033O4JT3r16kX+aYt5czzzTJs2jYEDBxaZT3kR1zkHt6LIyEgjf9eyUkqpoolIkmEYkcWnvLUkJSUZJX24Ryl1a0lKSmLGjBnvALtXrVrltqSXLpmplFJKKaVuCm14KqWUUkqpm0IbnkoppZRS6qbQhqdSSimllLoptOGplFJKKaVuCm14lqdrOXDgB/tPpZRSSinlRhue5elkJmSftv9USil1W/L393fbXrhwIePGjXMLi4iIcHu5N9hfJB4aGorZbCYiIoL169c74zp37kyTJk2IiIjg4YcfJi0tzRl3/PhxfHx8+OCDD9zyu3DhAs899xxhYWE8+OCDtG7d2u3F9jt27ODRRx+lcePGNGrUiL/85S/OZRkXLlyIyWQiJSXFmb558+bOl4/f7USE4cOHO7evXbtGYGAgUVFRbun69u1L+/bt3cJiYmIICgrCbDYTHh7uturQyJEjWbZsmXO7sGsbEhLCgAEDnNvLli1j5MiRgP3aBQYGuq2lvnPnzjIf861CG57lIWMdpH8F5w7at88dtG9nrKvYeiml1N3gJo82/fzzz9hsNhITE7l48aJbXN667fPnz+fZZ591i1u8eDHbt29nxIgRTJkyxRm+dOlSHnroIbcGDMCYMWOoXr066enp/PjjjyQkJHDq1CnA/gL0Pn368OKLL7J79262b9/Opk2b3JbfDA4OZtasAuu53JaycnL4fz/+yJGc8rnGVatWJTU1lcuXLwOwdu1agoKC3NKcOXOG5ORkzpw5U2At9okTJ7Jt2zbi4+N55plnuHr1qsdyCru2AFu3bmXHjh0e9xs8eLDbWupFLYt5u9GGZ3kIeQT8a4M4TqeY7Nshj1RsvZRS6m5wk0eblixZwvDhw+nevXuh63i3b9+eQ4cOeYzr1KkTGRkZzm2LxcJbb73FwYMHnftkZmby/fffM3PmTEwm+/8tgYGBvPDCC846PPzww3Tv3h0APz8/FixY4LaSUVRUFDt27HDrXb1d/cVq5duzZ3m1HHtsH3/8cb744gvAfg3y92AvX76c3r17Ex0d7XG5U4BGjRrh5+fH6dOnPcZ7urZ5Jk+ezGuvvVYOR3J70YZnefCuDCZvMGz2Rqdhs297V67omiml1J3rBo025S2nmPeZPn26W3xcXByDBw9myJAhHnuyABISEujXr5/HuM8//5wWLVoAcODAAY4cOULbtm0ZNGgQcXFxgH0YPSIiwtnozG/Hjh3kX+EpLCyMCxcucO7cOQBMJhNTp069rRs3vomJyMaN/D0rCxvw96wsZONGfBMTy5x3XoMyOzublJQU2rVr5xaf1xgt6jonJyfTqFEjatWqVSCusGubZ9CgQSQnJ7v9EZInLi7O7R7M65m9E2jDs7zkXoFqwVCvnf1n7pWKrpFSSt3ZbtBok6+vr9sw56uvvuqM++GHHwgMDKRBgwZ07dqV5ORkt96uKVOmcP/99/Ob3/yGl19+2S3fYcOGYTab+e6773jzzTcB+7rdgwYNAuwNocIaOLNmzcJsNlO3bl3Avr64iHhM6xo+dOhQNm/eXGCo+Haxp107htaqhZ+jAe5nMjGsVi325msklkbLli2xWq1YLBZ69erlFnf06FEyMjLo2LEjjRs3xtvbm9TUVGf8vHnzaNKkCe3atSMmJsZj/sVdWy8vL6ZMmcLs2bML7Jt/qN3X17eMR3vr0IZnealrhlrhUPke+8+65oqukVJK3dkqYLTJYrGwa9cuQkJCCAsL49y5cyxfvtwZP3fuXDIyMpg5cyYjRoxw23fx4sVs27aNlStXUq9ePWd+CxcuJCQkhD59+rB9+3bS09MJDw9n+/bt2Gw2AF555RW2bdvm7M1s1qwZW7dudct/z549+Pv7c8899zjDvL29mTRpEnPmzLkh5+NGq1O5MgFeXmTbbFQxmci22Qjw8qJ25fK5xn369GHy5MkFhtnj4uI4ffo0oaGhhISEYLVa3YbbJ06cSFpaGnFxcTz11FNkZ2cXyLuwa+tq+PDhJCYmsn///nI5ntuBNjyVUkrdvm7iaJPNZmPp0qWkpKRgtVqxWq3Ex8cX6MkymUxMmDABm83Gl19+WWh+aWlpXLx4kUOHDjnze+mll4iNjaVhw4ZERkYybdo0cnNzAcjOznY+tT5s2DC+/fZb1q2zTyu4fPky48ePZ+rUqQXKGTlyJOvWreP48ePldSpuqqNXr/Js3bpsbtWKZ+vW5UghD/KUxqhRo5g+fbpz6kMei8VCQkKC87okJSV5nOf55JNPEhkZySeffOIWXtS1deXj48PEiROZP39+uR3TrU4bnkoppW5fN3G0KTExkaCgILennzt16sTOnTvJyspySysiTJs2jTfeeKPQ/CwWC/3793cLGzBggLMh+49//IOTJ0/SsGFDWrduzWOPPebsufT19SU+Pp6ZM2fSpEkTWrRoQZs2bQq89gmgUqVKjB8/nmPHjpX62CvSf5o3593GjYnw9+fdxo35T/Pm5ZZ3cHAwEyZMcAuzWq3s37+fhx56yBkWGhpKQEAAW7ZsKZDH9OnTefvtt52901D8tXU1evRorl275haWf47npk2bSnV8tyLJ++vpVhUZGWnkH05QSilVNBFJMgwjsqLrUVJJSUlG/odmlFK3l6SkJGbMmPEOsHvVqlULXOO0x1MppZRSSt0U2vBUSimllFI3RbENTxH5l4gcE5FUl7D7RGStiKQ7flZ3iXtJRDJEJE1EeriEtxaRnxxxf5PC3gOhlFJKKaXuSNfT47kQ6Jkv7EVgvWEYjYD1jm1EJByIBpo59nlPRLwc+/wdeBpo5Pjkz1MppZRSSt3Bim14GoaRCJzKF9wXyHt3wCdAP5fwWMMwcgzD2AtkAG1FpA4QYBjG/wz700yfuuyjlFJK3ZWuXLlC9+7dOXz4cEVXRamborRzPH9lGEYWgONn3lpRQcABl3QHHWFBju/5w5VSSqm7VqVKlfjwww/5+eefK7oqSt0U5f1wkad5m0YR4Z4zEXlaRLaKyNbb9YW3Simlbk/+/v6FxkVERBRY5cZVTEwMQUFBzvcvvvjiiwB07ty5wEpDGzdupFq1avTr149JkyZhNpudL4Q/cuQI0dHRhIWFER4eTq9evdi9ezdWq5Xm+d5jGRMT41yCc+TIkYSGhjrL79ChQ6nOwZ3O0zXOf+3MZjNnzpwpkG737t306tWLhg0b8sADDzBo0CCOHj0KwLfffkvbtm1p2rQpTZs25cMPP3TLX0Tc1mafN28eIuK8N0JCQnjkEfclX81ms/Oab9y4kaioKMC+rGdUVBQRERHOewTsCx2MHz+e5s2bO9/v6rpk6o8//oiIFFjcIO+cWK1WfH19MZvNhIeH89RTT3HV8dL+vHvW9Rzl3bPXy7tEqX9xVETqGIaR5RhGz3sr7UGgnku6YOCwIzzYQ7hHhmF8CHwI9vd4lrKOSiml7gInss8Rk/wpM1o9RY0qATesnJ9//hmbzUZiYiIXL16katWqHtNNnDiRyZMnX1eejzzyCKtXr3YLMwyD/v37M2LECOdKN9u2bePo0aPOpTaLMnfuXAYOHHhd5d8usq/lsvXEaSIDq1PFy6v4HUqpuGuXnZ3NE088wdtvv03v3r0B2LBhA8ePH8cwDIYOHcrKlStp1aoVJ06coEePHgQFBfHEE08A0KJFC2JjY5k2bRoAy5YtIzw83K2M8+fPc+DAAerVq1dkT/j06dPp1q2b8wX4KSkpgP3l84cPHyYlJQWTycTBgwfd7lWLxULHjh2xWCz06NHDY95hYWFs27aN3NxcunXrxmeffcawYcMAz/dsSZS2x3MVkLcI7Qgg3iU8WkQqi0go9oeIvncMx58XkYccT7M/5bKPUkopVWqfpH9Fyqm9LEz/6oaWs2TJEoYPH0737t1ZtWrVDStnw4YN+Pj48OyzzzrDzGZzgZ6wu0na2QuczLlK2pkLFVqPJUuW0L59e2ejE6BLly40b96cd999l5EjR9KqVSsAatasyRtvvMHrr7/uTNuvXz/i4+3Nnz179lCtWjUCAwPdyhg0aBBxcXGAvZFYWA97VlYWwcG/9Om1bNnSGV6nTh1MJnsTLzg4mOrV7S8fMgyDZcuWsXDhQr766iuPa8y78vLyom3bthw6dKj4k3Odrud1Shbgf0ATETkoIqOB14FuIpIOdHNsYxjGDuAzYCeQAIw1DCPXkdVzwD+wP3CUCawpt6NQSil11+n636k8svqPrNy3CQODlfs28cjqP9L1vwXXKy8PcXFxDB48mCFDhnhc+jDPvHnznMOQRa3VDvDNN9+4DVtmZmaSmppKUas3ZWZmuu3z/vvvu8VPmTLFGZfXS3W7+nx/FvH7srBeuASA9cIl4vdl8fn+rGL2LB3Xa9elS5cC8UVdmx07dhSIi4yMZMeOHc7tgIAA6tWrR2pqKhaLhcGDBxfIZ+DAgfznP/8B4PPPP3dr5LoaO3Yso0ePpkuXLsyaNcv5gNqgQYP4/PPPMZvNTJo0iR9//NG5z3fffUdoaChhYWF07tyZ//73v0Wej+zsbLZs2ULPnr+8iMjTPVsSxQ61G4ZR2GSWroWknwXM8hC+FSi/BVaVUkrd1eIenca7O1fxzZGfyLFdpbLJh051WjD2gT7lXtYPP/xAYGAgDRo0IDg4mFGjRnH69GlnT5Krsg61FydvGDRPTEyMW/ydNNTerW4tUk+f48jlbHIN8BKo41eFZtVvzJSKkly7/AzDwNMryvOHRUdHExsby5dffsn69ev5+OOP3eLvu+8+qlevTmxsLA888AB+fn4ey+vRowd79uwhISGBNWvW8OCDD5KamkpwcDBpaWl8/fXXfP3113Tt2pWlS5fStWtXLBYL0dHRznosWrSIJ598skDeeX/cpKenM3DgQGdvKlTcULtSSilVoWpWCaCqdxWu2K5RyeTNFds1qnpXuSHzPC0WC7t27SIkJISwsDDOnTvH8uXLy70cgGbNmpGUlHRD8r7dVPH2wsdkItewN1hyDfAW0w2d51mUoq5Ns2bNCjxAlpSUVGAOZ+/evVm0aBH169cnIMDzvTp48GDGjh1b5INsYG+kDh06lEWLFtGmTRsSExMBqFy5Mo8//jhz587l5ZdfZuXKleTm5rJ8+XJeffVVQkJC+P3vf8+aNWs4f/58gXzz/rjJyMhg8+bN5Tq1RBueSimlblunr5ynb4MOfNBxAn0bdOBUTsH/RMvKZrOxdOlSUlJSsFqtWK1W4uPjixxuL4tHH32UnJwcPvroI2fYDz/8wP/93//dkPJudTm5uYT4+9GpTk1C/P3Iyc0tfqcbZOjQoWzatIkvvvjCGZaQkMBPP/3E2LFjWbhwobM3+uTJk7zwwgtMneo+9cPX15c5c+bwyiuvFFpO//79mTp1aqEP/wB8/fXXXLpkn4Jw/vx5MjMzqV+/PsnJyc5hd5vNRkpKCg0aNGDdunVERERw4MABrFYr+/btY8CAAaxcubLQMurUqcPrr7/O7Nmziz8510kbnkoppW5bsyJ/y6QWA2gYEMSkFgOYFfnbMud56dIlgoODnZ/58+cTFBREUNAvr5/u1KkTO3fuJCvr+ucaPvHEE848f/3rXwMF58stW7YMEWHFihWsXbuWsLAwmjVrRkxMDHXr1r2uclzneJrNZq5cuVKyE3CLaVvrPiJqVKNaJR8ialSjba37ypxn/mv89ttvA+5zPM1mM1ar1W0/X19fVq9ezTvvvEOjRo0IDw9n4cKF1KpVizp16vDvf/+b3/3udzRt2pQOHTowatQoj3M0o6OjnQ8heXLPPffwwgsvUKlSpULTJCUlERkZScuWLWnfvj1jxoyhTZs2HDt2jN69e9O8eXNatmyJt7c348aNw2Kx0L9/f7c8BgwYwJIlS4o8V/369ePSpUt88803gOd7tiTEvpDQrSsyMtLI33WtlFKqaCKSZBhGZEXXo6SSkpKMoh6sUUrd+pKSkpgxY8Y7wO5Vq1YtcI3THk+llFJKKXVTaMNTKaWUUkrdFNrwVEoppZRSN4U2PJVSSiml1E2hDU+llFKqHFy7do3+/fszaNAgbDZbRVdHqVtSsSsXKaWUUqp4GRkZTJ8+nStXrrB3717CwsIqukpK3XK0x1MppZRyISIMHz7cuX3t2jUCAwOJiopyS9e3b1/at2/v3G7atCnx8fF88803vP3225jNZsLDw/H19XV75+HIkSMJDQ3FbDYTERHB+vXrnXl07tyZJk2aONN7Wvry6NGjREVFERERQXh4OL169QLAarXSvLl9ZeqNGzciIvzzn/907vfjjz8iIrz55puAfYnHmTNn0qhRIxo3bkyXLl3c1hUPCQlhwIABzu28ut8pVqxYgYiwa9cuwH7+RIR33nnHmWbcuHEsXLgQgM2bN9OuXTvMZjMPPPCAc6nShQsXEhgY6PZuy507d7pdD1cjR47Ez8/PbcWgCRMmICKcOHECAC8vL7f8Xn/99Rt0Fm4+7fFUSil1Wzt79TIf7d3M70LbU82nSpnzq1q1KqmpqVy+fBlfX1/Wrl3r9vJ4gDNnzpCcnIy/vz979+4lNDTULf7dd98F7I2ZqKgot7XVV69e7VxPfcOGDTz99NOkp6c74xcvXkxkZOGvYJ0+fTrdunVjwoQJAKSkpHhM16JFC+Li4hg9ejQAsbGxREREuNVx06ZNbN++HT8/P7766iv69OnDjh07qFLFfh63bt3Kjh07aNasWbHn7Ua6fPkymzdv5qGHHsLX17dc8rRYLHTs2JHY2FhnI7JWrVr89a9/5Zlnninw8vYRI0bw2WefERERQW5uLmlpac64wYMHs2CB2+sqC7x83lXDhg2Jj4/nN7/5DTabjQ0bNrjdY76+vm73zJ1EezxvYSeyzzFu0wJOZp+r6KoopdQta3XWTjIunGB11o7iE1+nxx9/3LksosViKbBm9vLly+nduzfR0dHExsaWupz27dtz6NChEu2TlZVFcHCwc7tly5Ye09WvX5/s7GyOHj2KYRgkJCTw+OOPO+PnzJnDO++8g5+fHwDdu3enQ4cOLF682Jlm8uTJvPbaayWq342wc+dOjh8/zs6dO8slvwsXLvDdd9/xz3/+0+36BQYG0rVrVz755JMC+xw7dow6deoA9h7J/Guwl8SQIUOIi4sD7L3TDz/8MN7ed0dfoDY8b2GfpH9Fyqm9LEz/qqKropRSt5xxPy7nmeSlJJ7YgwEkntjDM8lLGffj8jLnndegzM7OJiUlhXbt2rnF5zVGhwwZUqY12xMSEujXr59b2LBhw5xDrFOmTCmwz9ixYxk9ejRdunRh1qxZznW5PRk4cCBLly5l06ZNtGrVisqVKwNw7tw5Ll68WGAeamRkpNtw+6BBg0hOTiYjI6PUx1gWy5Yt47PPPiMzMxOAzMxMPvvssxIv05jfypUr6dmzJ40bN+a+++4jOTnZGffiiy/y1ltvkZtvTfiJEyfSpEkT+vfvzwcffEB2drYzLi4uzm1o/PLly0WW36hRI44fP87p06exWCxER0e7xV++fNktv7xG6p3g7mhe32a6/ncqV2zXnNsr921i5b5NVDJ5s77XGxVYM6WUunXMat6LZQe3s+3MYa4YuVQSL8z3BjEwOKL4nYvRsmVLrFYrFovFOYcyz9GjR8nIyKBjx46ICN7e3qSmpnqcz1eYKVOmMHXqVI4dO8bmzZvd4oobau/Rowd79uwhISGBNWvW8OCDD5Kamuox7aBBgxg8eDC7du1iyJAhbNq0qch6GYaBiDi3vby8mDJlCrNnz3brLb1ZnnjiCbZv386hQ4fIzc3Fy8uLoKAgtykDpWGxWPjDH/4A2P/IsFgsjB07FoDQ0FDatm1bYA3z6dOnM2zYML766iuWLFmCxWJh48aNgOeh9uI8+eSTxMbGsmXLFj744AO3OB1qVzdV3KPTeKxuKyqbfACobPKhW1ArPnt0WgXXTCmlbh3VfHyp4uXDVSMXHzFx1cilipd3uczzBOjTpw+TJ08uMMweFxfH6dOnCQ0NJSQkBKvVWuLh9rlz55KRkcHMmTMZMWJEiet23333MXToUBYtWkSbNm1ITEz0mK527dr4+Piwdu1aunbt6gwPCAigatWq7Nmzxy19cnJygSHk4cOHk5iYyP79+0tcz7Ly9fXF29ub3NxcTCYTubm5+Pj4lGme58mTJ/n6668ZM2YMISEhzJ07l7i4OAzDcKZ5+eWXmTNnToHXYoWFhfHcc8+xfv16tm/fzsmTJ0tdj+joaP70pz/RrVs3TKa7pzl29xzpbaRmlQCqelfhiu0alUzeXLFdo6p3FWpUCajoqiml1C3l3NUcOtUM44UmXelUM4xzV3PKLe9Ro0Yxffp0WrRo4RZusVhISEjAarVitVpJSkoq1TxPk8nEhAkTsNlsfPnll9e939dff82lS5cAOH/+PJmZmdSvX7/Q9K+++ipz5szBy8vLLXzKlCmMHz/eOSy8bt06vv32W4YOHeqWzsfHh4kTJzJ//vzrrmN5ysnJISwsjMcee4ywsDC3Ie7SWLZsGU899RT79u3DarVy4MABQkNDOXjwoDNN06ZNCQ8PZ/Xq1c6wL774wtk4TU9Px8vLi3vvvbfU9ahfvz6zZs3i+eefL/3B3IZ0qP0WdfrKefo26EDfBg8Rv28zp3L0ASOllMrvubAOzu9D67cq17yDg4OdT47nsVqt7N+/n4ceesgZFhoaSkBAAFu2bClxGSLCtGnTeOONN+jRowdgn+OZ16NXs2ZN1q1b57ZPUlIS48aNw9vbG5vNxpgxY2jTpk2hT1F36NDBY/jvf/97Tp8+TYsWLfDy8qJ27drEx8d77E0cPXo0M2fOLPHxlYeHH37Y+b1169Zlzs9isfDiiy+6hQ0YMKDAQ1SvvPIKDz74oHN70aJFTJw4ET8/P7y9vVm8eLGzMR8XF8e3337rTPvee+9Rt25d0tLS3B4EmzdvnlsZzzzzjMc65s3xzNOzZ8875pVK4oxZl08AACAASURBVNq1fCuKjIw0tm7dWtHVUEqp24qIJBmGUfhEwVtUUlKSUR6NC6VUxUlKSmLGjBnvALtXrVrlNvm1TEPtIjJRRHaISKqIWESkiojcJyJrRSTd8bO6S/qXRCRDRNJEpEdZylZKKaWUUreXUjc8RSQIGA9EGobRHPACooEXgfWGYTQC1ju2EZFwR3wzoCfwnoh4ecpbKaWUUkrdecr6cJE34Csi3oAfcBjoC+S9efUTIO8FZX2BWMMwcgzD2AtkAG3LWL5SSimllLpNlLrhaRjGIeBNYD+QBZw1DOMr4FeGYWQ50mQBtRy7BAEHXLI46AgrQESeFpGtIrL1+PHjpa2iUkoppZS6hZRlqL069l7MUKAuUFVEflPULh7CPD7ZZBjGh4ZhRBqGERkYGFjaKiqllFJKqVtIWYbaHwP2GoZx3DCMq8B/gA7AURGpA+D4ecyR/iBQz2X/YOxD80oppZRS6i5QlobnfuAhEfET+/paXYGfgVVA3jIMI4B4x/dVQLSIVBaRUKAR8H0ZyldKKaXKnZeXl9s62VarlY0bN1KtWjUefPBBmjZtyuTJk932WblyJS1btqRp06a0aNGClStXOuM2b95Mu3btMJvNPPDAA8TExACwcOFCxo0bB0BMTAx+fn4cO/b/27v3+CirO/HjnzMzmZncwyUhNyQYlYtIuCkKAnJThALS2qqxW7fe1q5WenG7S+2rW3Upveivtlp5abtdWBdbWLQKKC1iBbzRNaCogFwTLpJAQiBkksxM5nnO74+ZQEImkMxMZiaT7/v14vXMPDk55/vMTMLJeb7nnBNnvy8tLa3DmBJlTUfR+4S8gLzW+u9KqdXAdsAHfAS8AKQBq5RS9+DvnH41UH6nUmoVsCtQ/kGttRFm/EIIIXo594kTbFu4kLG/+Q3OCKRnBdsnu6KigkmTJrFu3TqampoYPXo0CxYsYOLEiezYsYNHHnmEN998k8GDB1NeXs7MmTO59NJLGTlyJHfddRerVq2ipKQEwzDYs2dP0Hb79+/PU089xc9//vNOxSRETxTWrHat9b9rrYdqrUdorf8hMGP9pNZ6utb68sCxtlX5xVrrYq31EK31+vDDF0II0dvtffZZaj/8kL3PPBOV9pKTkxk1ahRffPEFAE8++SQ//OEPGTx4MODfyWjRokX88pe/BODEiRPk5eUB/pHL8/dCb3H33XezcuVKamtrg35diEQge7WLbmXW1+NatgzT5Yp1KEKIBPP68OGsLS7m0IoVoDWHVqxgbXExr3fQseuslu0KR40axYIFC9p9/dSpU+zbt4/JkycDsHPnznZbOY4bN46dO3cC8N3vfpchQ4awYMECnn/++Q73Gk9LS+Puu+/m17/+9QVjGjVqFCtXrgzrGoWIFel4uiph5RRoqIp1JAnJs+ltjEOH8Lz9t1iHIoRIMNM3baJg3jysTicAVqeTgvnzmb55c1j1ttzW/vjjj/nzn/989vw777zDyJEjyc3N5Utf+hK5ubkAaK3xT3U4p/W5H//4x5SVlXHjjTfy0ksvMWvWrA7bfvjhh1m+fDlnzpzpMKaPP/6Y2267LaxrFCJWQs7xTBhbn4Cj78IHj8OM52IdTcKoW7wYfL6zz73bP8K7/SOw2ch89NEYRiaESBTOnBxsaWkYHg8WhwPD48GWlhaRPM9gWnI89+7dy/XXX8+CBQsYNWoUV155JWVlZYwcOfJs2e3bt7e5pV5cXMy3vvUt7rvvPrKzszl58mTQNrKysigtLeW55+T/I5GYeu+I59PJ8JSCHUsB0398SvnPi7ClzxtN0qD+YA18xKwWkor6kz5vdGwDE0IkFE9NDYNKS7n+5ZcZVFqKJwqbjlxxxRUsWrTo7CSgRx55hCVLllBRUQH4JyL99Kc/5fvf/z4Ar7/+Olr7l63et28fVquVrKysDuv/3ve+x/PPP4+v1R/vQiSK3jviee9B2PwI7H8VfI1gS4HLFsANT8Y6soRgGTYdtftPYNSARYFhopLTsQybHuvQhBAJ5OqlS88+Hvn441Fr94EHHuDJJ5+kvLycUaNG8fOf/5y5c+fS3NxMUlISv/jFLxg1ahQAL774It/97ndJSUnBZrOxYsUKrFZrh3X379+fBQsW8Ktf/ersuZYczxazZs2SJZVEj6Ra/gqLV+PGjdNlZWXdU/mb34JPXgCrHQwvlPyT3G6PoIblv8eS5MN+eR7efZWYzTZS77o31mEJ0SsopbZprcfFOo6u2rZtmz5/oo4QomfZtm0bjz322DPA3jVr1jzb+mu9d8QToPE4lDwAI+/3d0AbKmMdUUJJnTkObHbIHEjyoCPg88Y6JCGEEELEUO/ueM5/5dzjGb+NXRyJKv/cbSFywlveRAghhBA9X++dXCSEEEIIIaJKOp4xcLLezSPLP6DWFXwRYSGE6MW0aZqxjkEIESLTNLnQ/CHpeMbAS+/s47MjtazYsi/WoQghRFyxWCyfV1ZWmtL5FKLnMU2TyspK0+121wAqWJneneMZZXOXrMfrO/fLdN22w6zbdhi7zcLaRTfHMDIhhIgPpmneWF5evr2ysjL7/N2AhBDxTWuN2+2uffHFF18EMoGa88tIxzOKlj00ld9t3M37n1fh8Zk4bBYmDs3lvpnDYh2aEELEhbFjxx6dN2/etcC/AHYgvtf8E0IE09Lp3HD+F6TjGUX90p2kOGx4DRO7zYLXMElx2Oib5ox1aEIIETfWrFlzcN68eT8C8pCUMCF6ombgyJo1a1znf0E6nlF2yuVhzphBzB5zCW9sPywTjIQQIog1a9acBIJvaC6E6LF6985FQgiRoHrqzkVCiMQmtzCEEEIIIURUSMdTCCGEEEJERVgdT6VUllJqtVLqc6XUbqXUdUqpvkqpN5VS+wLHPq3KL1JK7VdK7VFK3RR++EIIIYQQoqcId8Tz18BftNZDgRJgN/BvwFta68uBtwLPUUoNB24HrgRmAc8ppaxhtt8h2R1ICBEJ8rtECCEiJ+SOp1IqA5gM/CeA1tqrtT4NzAeWB4otB24JPJ4P/Elr7dFalwP7gWtCbf9iZHcgIUQkyO8SIYSInHCWU7oUqAb+SylVAmwDFgIDtNaVAFrrSqVUTqB8AbC11fcfDZyLKNkdSAgRCfK7RAghIi+cW+02YAywVGs9GmggcFu9A8H2Pgu6lpNS6n6lVJlSqqy6urpLQS17aCpTR+TjsPkvzWGzMG1EPsu/PbVL9Qghejf5XSKEEJEXTsfzKHBUa/33wPPV+Duix5VSeQCB44lW5Qe2+v5C4FiwirXWL2itx2mtx2VnZ3cpKNkdSMSMqxJWToGGqlhHIiJAfpcIIUTkhdzx1FpXAUeUUkMCp6YDu4A1wF2Bc3cBrwUerwFuV0o5lFKDgcuB/wu1/Qtp2R3o6W9OZM6YQdS6PN3RjBBtbX0Cjr4LHzwe60hEhMjvEiGEiKywdi5SSo0Cfg/YgYPAN/F3ZlcBlwCHga9qrWsD5R8F7gZ8wHe01usv1obsXCTi3tPJYASZ8Wx1wneaoh+PEMjORUKI+CRbZgoRLlclbH4E9r8KvkawpcBlC+CGJyE1N9bRiV5KOp5CiHgkOxcJEa60PLBngM/tH+X0ucGRIZ1OIYQQ4jzS8RQiEhqPQ8kDULrVf5QJRkIIIUQ74azjKXoznwcqP4G8kWBzxDqa2Jv/yrnHM34buziEEEKIOCYjniI0Jw+A+5T/KIQQQgjRCTLiKbpm/0bQ53Zz4cxR/z9lgctmxC4uIYQQQsQ9GfEUXVM0CdJy/R1N8B/Tcv3nhRBCCCEuQDqeomtsDrDY/KOeyuI/WmyS5ymEEEKIi5Jb7aLrDC9kFkLmQKg7Aj5vrCMSQgghRA8gHU/Rdfmjzj3OGR67OIQQQgjRo8itdiGEEEIIERUJ2/F0e328++kx3F5frEMRQgghhBAkcMdzz5HTnDzjYc+R05Gp0OeBIx/6j0IIIYQQossSLsdz7fsVmFqffV5RVU9FVT0WpZg7oSj0ilsvmD5A8hqFEEIIIboq4TqeM8cV8ll5LVW1jRimxmpR5PVL4cqivqFVKAumCyGEEEJERMLdanfabSTZLBimxqIUhqmxWS047SH2sWXBdCGEEEKIiEi4EU8Aj9egKDedotx0Kqrq8XiN0CuTBdOF6N18Hqj8BPJGys+9EEKEKSE7ntcMG3D2cUlxBP6jkAXThei9JL9bCCEiJiE7nhEnC6YL0ftIfrcQQkRc2DmeSimrUuojpdS6wPO+Sqk3lVL7Asc+rcouUkrtV0rtUUrdFG7bQgjRbSS/WwghIi4Sk4sWArtbPf834C2t9eXAW4HnKKWGA7cDVwKzgOeUUtYItC9Er+U+cYL37rgDd3V1rENJPJLfLYQQERdWx1MpVQjMAX7f6vR8YHng8XLgllbn/6S19mity4H9wDXhtC9Eb7f32Wep/fBD9j7zTKxD6X6x2MShJb974Hj/0ZD8biGECEe4OZ5PAz8A0ludG6C1rgTQWlcqpXIC5wuAra3KHQ2cE0J00evDh2N6znXADq1YwaEVK7A4HMzZtSv0il2V8Prt8KWVkJobgUgjKBaTfCS/WwghIirkEU+l1JeAE1rrbZ39liDndJBzKKXuV0qVKaXKquUWohDtTN+0iYJ587A6nQBYnU4K5s9n+ubN4VW89Qk4+i588HgEooyQ/Rth3wb/xB7wH/dt8J/vYZqamnj77bdpamqKdShCCBET4Yx4TgTmKaVmA04gQyn1P8BxpVReYLQzDzgRKH8UGNjq+wuBY8Eq1lq/ALwAMG7cuKCdUyF6M2dODra0NAyPB4vDgeHxYEtLw5mdHVqFTyeD4T73fMdS/z+rE74T405S0SSo3gMNJ87lW6bmQPaQ2MYVgl27dlFdXc2uXbsYO3ZsrMMRQoioC3nEU2u9SGtdqLUuwj9p6G9a668Da4C7AsXuAl4LPF4D3K6UciilBgOXA/8XcuRC9HKemhoGlZZy/csvM6i0FE84dwfuPQhDSyG1ACb8ElLyYeidcF955AIOVQJM8lm9ejWrVq3iwIEDABw4cIBVq1axevXqGEcmhBDR1R3reP4MWKWUugc4DHwVQGu9Uym1CtgF+IAHtdZhbCkkRO929dKlZx+PfDzMW+NpeWDPgEu/DP1GQPFXwOKLnzzPHr6Jw5w5c9ixYwdHj36BaRpYLFYKCwsoKSmJdWhCCBFVSuv4vpM9btw4XVZWFuswYiOeJ3qIxHL+YuktZLH0iCkrK+PAwYMYJlgtcFlxcbfebldKbdNaj+u2BoQQIgSRWMdTdJd4nOghEpMslt6t5i5Zz992HGL3KRtrDzvZfcrGWx9XMHfJ+liHJoQQUSVbZsajeJ7oIRJTAuRRxrNlD03ldxt3s/3zKjw+k+21SUwcmsvy24bFOjQhhIgqGfGMRy0TPWwp/ue2lPiZ6CESlyyW3m36pTtJcdjwGiZ2mwWvYZLisNE3zRnr0IQQIqpkxDMetUz08Ln9o5w+NzgyJM9TdK9etli6WV9P48svk3LrrVjS0rq9vVMuD3PGDGL2mEt4Y/thal3ui3+TEEIkGOl4xqvG41DyAIy8Hz55ARoqYx2REAnFs2ULxuHDeDZvJnnOnG5v79+/dm6ez7dnj+j29oQQIh7JrHYhRK9St3gx+Hztv2Czkfnoo9EPqJvIrHYhRDySHE8hRK+S/vDDJI0YAbbADR+bjaSrriJ94cLYBiaEEL2AdDyFEF1m1tfjWrYM0+WKdShdZklPRzkcYBj+zqdhoByOqOR5CiFEbycdT9FGjfsMD73/LCfdZ2IdiohjrfMjeyKzoQH72LGk3XMP9rFje2QHWggheiLJ8RRtPPXpal479AHzB13H96+6NdbhiDjTW/IjE4HkeAoh4pF0PGPB54HKTyBvZNws0D39jR/gNdt3KOwWG2/N/kUMIhLxyKyvx71hA82ff+7vgNpsJA0bhvPGG+VWdZyRjqcQIh7JrfZYOHkA3Kf8xzixctqPmJE/BoclCQCHJYmZBWNYNe1HMY5MxBPJjxRCCBEOWcezk2rcZ/jJ9v/msTHfoJ8zI7RK9m/0b0XY4sxR/z9lgctmRCbQEPV3ZpBqc+I1fdgtNrymj1SbM/RrFQmrJT/SPnYs3m3bJD9SCCFEp0nHs5OW79vAJ7XlLNu3IfTcx6JJUL0HGk6c2xM7NQeyh0Q22BCd8tYzf9AE5g+6ltcObaXWE/4Eo5P1bpa88hE//Mpo2R4wQaTedtvZx9FYeF0IIUTikBzPi4h47uPxXedGObUJGYUwIHG3J3zmjU95ffth5oy5hG/PvirW4QgRW1HM75YcTyFEPJIRz4tYOe1H/HbXGt6p+hSP2YzDksTkvKt4cNi80Co0vJBZCJkDoe4I+LyRDThOzF2yHq/vXFrBum2HWbftMHabhbWLbo5hZAnGVQmv3w5fWgmpubGORlxM6/zuBP6DUwghOiIdz4uIeO5j/qhzj3MS9z+eZQ9N5Xcbd/P+51V4fCYOm4WJQ3O5b+awWIeWWLY+AUffhQ8ehxnPxToa0ZE4zu8WQohoklntndCS+/j89QuZP2gCtZ76WIcU9/qlO0lx2PAaJnabBa9hkuKwJXSeZ6XHw5SPPqLK4+n+xp5OhqcUlTtXMuWKp6ja+Sd4SvnPi/hTNAnScv0dTfAf03L954UQohcJecRTKTUQ+G8gFzCBF7TWv1ZK9QVWAkVABfA1rfWpwPcsAu4BDOBhrfVfw4o+ShaP++bZx9+/6isdF5Tbnm2ccnmYM2YQs8dcwhvbD1Prcsc6pG71REUF79bV8XhFBc8N6eYJY/cehM2P8ERTPu+mjeTxgnt4LrkSbniye9sVobE5wGI7N6lQm/7ncbKOrxBCREvIk4uUUnlAntZ6u1IqHdgG3AL8I1Crtf6ZUurfgD5a639VSg0H/ghcA+QDG4ErtNbGhdqJ9eSiLtn4z7DjeSj5J7nt2Yskb9mC2zTbnXdaLDRNnpwwbYowHfsYbPa2+d2tU28iTCYXCSHiUci32rXWlVrr7YHH9cBuoACYDywPFFuOvzNK4PyftNYerXU5sB9/J7TnC9z2ZMdSwPQf5bZnr3Fw/HhKc3JIsfh/nFIsFu7MyaF8/PjubdP7OSnav+JCivZxp/fzbm1ThCl/lD+v25HuP3Zjp1MIIeJVRHI8lVJFwGjg78AArXUl+DunQE6gWAFwpNW3HQ2c6/nuPQhDS8GW4n9uS4Ghd8J95VFpvq65iSf3vk1dc8+9lW3W1+NatqxHLkae53CQYbXiNk2cFgtu0yTDaiXX0X23UfMcDjIGTcWtbP42lY2MQVO7tU0RvqjmAQshRBwKu+OplEoDXga+o7W+0IrjKsi5oPf5lVL3K6XKlFJl1dXV4YbY/dLywJ4BPjdYnf6jIyNqeZ7rKnex31XDusqdUWmvO3i2bME4fBjP5s0Rqc994gTv3XEH7ih9fo43N/NAfj5bx4zhgfx8qpqbE7JNEZ7WecBCCNEbhbWAvFIqCVgH/FVr/f8C5/YAN2itKwN5oJu01kMCE4vQWi8JlPsr8BOt9QcXaqPH5Hi+9mVIzYOR98MnL0BDJcx/pVubfOijl2nW7fP8kpSFZ0dfYBJUHKlbvBh87Rfox2Yj89FHQ673rf/4DxZmZ/Ob6mqm/ShK+81HcXFwEQFRfL9ikZMrOZ5CiHgU8oinUkoB/wnsbul0BqwB7go8vgt4rdX525VSDqXUYOBy4P9CbT/uzH8FZvwWckr8x27udAIsHjGba/oMxK6sANiVlWv6XMLiET1nG8P0hx8macQIsAUWWLDZSLrqKtIXLgypvteHD2dtcTFPeb3suvxynvR6WVtczOvDo7BmauvFwUX8i+L7FYs8YCGEiEfhLCA/EfgH4FOl1MeBcz8EfgasUkrdAxwGvgqgtd6plFoF7AJ8wIMXm9He07i9Psr2nGDckByc9u5fmz8zKRmnNYlmbZAENGsDp9VGZlLPWSvTkp6OcjjAMPydT8NAORxY0tJCqu/WpUtxtxrFXz9tGuunTcOpFE2RCvp8vXFx8M4uHRaPS4zF4P2KRR6wEELEo3Bmtb+rtVZa65Fa61GBf29orU9qradrrS8PHGtbfc9irXWx1nqI1np9ZC4hPG6vj3c/PYbbG+R2bxftOXKak2c87DlyOgKRdc6ZZg+TU/vwrylpTE7tw5nmnjdpwWxowD52LGn33IN97NiwJhgdvPZabq6qwhGYvOHweJhdVUX5tddGKtz2euPi4B/+Ai6ZC3//+YXLtd5ZKV4E3i+3svOubTBuZY/K+yU5uUIIIVtmtukslhT3D6mOte9XYLYaZauoqqeiqh6LUsydUBShSIPYv5FvaTPw54OVUkwwXf4RnR400pZ6221nHyfPCS9NIM/hINnlwjtgAA7Aa7eTXF/fvSNLvWlx8KeTwXDDVQ9BwQioOORfOszqhO80tS/XYsdS/7/zy8VC4P3aY+nPSZXKHkt/SiyWsN+vi93xeGXEiLOPf3vFFWG1JYQQPVVYk4uiobsmF53fWWwRSmfR7fXxWXktVbWNGKbGalHk9UvhyqK+3XvL3eeB6j3QcOJcpyc1B7KHJGanp5O+/Nln5Nnt3J+fzwvHjlHp9bb5T79bRHlx8JjZ9ybBF6NQcPnMc09dlbD5Edj/Kvga/UuMXbbAv7NSjG+5rz1ciRnkEiwK5l6SF3K9Ow7UUFFVT1Fuesh/xEaSTC4SQsSjXjviOXNcYYedxa5y2m0k2SwYpsaiFIapsVkt3Z/n2XqkzWwGS1LijrR1QUxGllp3MnOiMJEpVgZPhk//B5zZYAssHeauhqu+3rZcjJcYu5CZ+Tl8duoMVU1uDA1WBXkpTq7skxFSfd1yxyMec2OFECICIrKAfE8U6c6ix2tQlJvO5JI8inLT8XijNG/K8MKZg7Blof9oeKPTruidbA7wngFr4I8bqwO8dcH/2Gk8DmMWwrw3YPRCaKiKbqwdcNqsJFksGNr/C9DQYFMWnFZrSPXNHFdIQf9UUqwGE7OOkGI1KMxOZea4wtCDjMfcWCGEiIBeO+IJ5zqLRbnpVFTVh9VZvGbYgLOPS4qjNOJ4fh7dpm/5j2Hk0blPnGDbwoWM/c1vcGZnRyBIkXAGTm2bVpA2IHi5+a/A8V3+GeNX3gsD4mck2GMYFKWlUJSeQkV9Ix4j9J/9lj9ii5Nr6Jfkpji5hnprVmh/xMZzbqwQQkRAr83xTAjdkEf3yY9/zKGXXmJQaSkjH4/eaMvJejdLXvmIH35lNH3Tes5yUKID5y9Z1CIKS0y5fQZlNacYl90n5FHMLonktQZ+ppsOvs3WzPu5tu55ki+dHtLPtOR4CiHiUa+91Z4QIphH17Lw+qEVK0BrDq1YEb2F14GX3tnHZ0dqWbFlX1TaA/yTs4586D+KyIrhElN76lyc9DSz53Toy3J1SSSvNfAzvStlNtWOoexKmRM3ubFCCBEJvfpWe0JoPA4lD7TdqjME0zdtYteSJVRt2IDhdmN1Osm96SaGL1oU4YDbmrtkPV7fudGiddsOs27bYew2C2sX3dytbbfZuSaObgMnhBgsMXX+bPUKVyMVrsawZ6tfVASvdfXq1ZjmVEj3Pz+QfiMHasGyejW33nprhAMXQojok45nT9d6a84Zvw25GmdODra0NAyPB4vDgeHxYEtL6/Y8z2UPTeV3G3fz/udVeHwmDpuFiUNzuW/msO5rtDfuNBQLhhcyC9suMdWNzs5Wb3RjAFYgLzX02epdEqFrnTNnDjt27OCLL77AMAysVisFBQWUlJREOGAhhIgN6XiKszw1NQwqLWXQHXdw6I9/xFNdHX6lF1kWpl+6kxSHDa9hYrdZ8BomKQ5b9+Z5Fk3qeP3TeOLzQOUnkDeyZy6RFeUlps7OVkdj0RpDqbBmq3dJhK41OTkZm82GYRhYFBiGQVJSEsnJyREIUgghYk86nuKsq5cuPfs4YhOLWi8LM+O5oEVOuTzMGTOI2WMu4Y3th6l1uYOWi5iu3hqNVQdQUgG6Zv9GPJZCimimyDxFhaUPnrozcOrDnjOSvX8jnpNnKO5np7i/gwM1Htw1h2D/qZ5zDUIIcQEyq110j/OXhWkRL8vCdGWnoZYlgTIKo9MBjOGM8B4tEXbyiuA1yKx2IUQ8khFP0T3uPdjxUk/xoDO3RmOVC9qFVICL7Q/eq8RgQlPEJcI1CCHEBchySqJ7xPGWiZ0WqyWButD52HPkNCfPeNhz5PSF6+wtS0e1TPIZON5/7Ik7eSXCNQghRAek4ym6T8tST6Vb/cc42TKx07o4+uQ+cYL37rgDdyQmZRleSOkLu56HlH7tOh9r36/gtffKqaiqB/z7g7/2Xjlr368IXl/rfNE4VOM+w0PvP8tJ95nwKsof5R/BdqT7jx2lT8SzRLgGIYTogHQ8Y8Dt9fHup8dwe32xDqV7zX/Fv8RTTon/2Hrpp57C8FKZkseUuiyqUvMuOPq099lnqf3wQ/Y+80z47eaPgt1/gH2vwO7/bNf5aNkf3GpRAFgtKvj+4Ps3wr4N/hQB8B/3bfCfjyPL923gk9pylu3bEOtQ4kKlx8OUjz6iypPgI9RCiF5HJhfFwI4DNVRU1VOUm05Jcf9Yh9Ot6k4184dny7n724PJzEqKdTgh+ec9e3i+spJ/ysvjuSHt8yxfHz4cM0gHweJwMGfXrq43GJiYVdfcnz+U/5S7By8iM+lku4lZLZ8ji1KYWgf/PMX5hJvpb/wAr9n+DzC7xcZbs38Rg4jiw3d27iTH6uS46eHXIe4eJpOLhBDxSEY8o6jLt0cjLQZ5fm+uOUbJZT7efO1YROqL5O3si9WVvGULatMmllZWYgJLKytRmzaRvGVLm3LTN22iYN48rE7/2qNWp5OC+fOZvnlz0Hp9jQ0c3roTX2ND8MDuPQhDS1l//AEOuEaz/vi3YOidcF95m2Ie6iJSQwAAC7FJREFUr0FRbjqTS/Ioyk3H4zXa1xXnk1VWTvsRM/LH4LD4J0Y5LDZmFoxh1bQfxTiyrjtZ7+aR5R+EtRxYy2fObSqGOZPxGAT9zAkhRE8lHc8o6vTt0S7qdH5cFPP8Fv7jRzx453Z0Qz35uRZ0Qz0P3rmdhf/4UVj1Hnj2WQr79GF/BG5nX+zW+MHx4ynNyaFlKXsncGdODuXjx7cp19Vdn2r2HqbJbaVm7+GgX1/4UBUPvvR93jmxAI2Fd04s4MGXvsfCB9tuh3rNsAGUFPcnM9VBSXF/rhk2IPiFXiRfNJb6OzNItTnxms3YTR9es5lUm5N+zijsNtRJZn09rmXLMF0X3vv9z299wlcq3ufltz4Nua6VhYN5dfAQbs7og0Upbs7ow6uDh7CycHBY1yCEEPEi6uuvKKVmAb/Gv6Pd77XWP+uOdv6y6W9Uu9wMSHdy45RpHZZ77e33ONNQR1ZaJnNvmNhhufUbN1PjbiA7OY1Z0ycHLfPqpg+od50iK70Pc6dc1+7rTruNJJuFqiOf4kix4m00GZhzbYfL4KzftJUaVy3Z6f2ZNeWaDmNb9te/MN56Kf+1YT2PzLutfYHAskB/2e+i2nAywPY5NxYHXxZow3tbOX6qlry+/ZkxoeM2X333PepP15HVN4u5Eya0+/o/fzMVtOYLPJQ1HKRgeCEPD08FpYLWt3bLJk6faaRvRhpzJrd/fVtuZ1tvv5uTs79Ev/e2UV5c3OHt7M3vvUd17Rly+2Vw/YSJQes6PelGePo3nF75KoeC1FW2rZKTzY3kas1PGpv495RkTlY38uHpSuZOKGpTp6emhqRvPohr5FDSduzG88W+djHt3fQ5GsUXNHOs4SgFFFK3aQ8KzRU3DD1b7vFfjeCVX7zEHtsVXDn+FJ9t7cMwYy8L/rW0XZ3vfPgRx6uqyMvLZ+K4DrZVzB/F2j8+xen0b9L3nb8x5/Z/CV4O+PPf3sfVeJr0tCxuuaH9+9pi9ZYPaTpTTWpWNl++/urQ63s6mVMDZnCLZxzZ/a/mRM3fqa1fDm/9Q7v1Xv/817dwNXtIdzi4Zeb0jtt8fQP73Q1ckZrK/Fk3dlju5Y1vcbDuDJdlZbBgesf1vb3uLxzrn0Ph2vVMveOr7b4+d8l6vD6TOzKr2T92GPaDO7npiRPYbRbWLrq5Tdldr63n0NipFL36Bld+/Wvt6prRL4P/OnSU/ulZOC0W3KZJTf1pvlk0sMP4hBCiJ4nqiKdSygr8FrgZGA7coZTqlhW5jzSZOBpdHGoMshB3KyfcTTgaXVQ1XXhR86PNzTgaXRzxdjxaVN3U4K+ro1uo+G+P6vRkHI0uzHRn8NujLW02ufxtNgYfyZz+xg+YtO57ZNr74mh0kZnUj0nrvsf0N37QtmBgWaAjZPhfE53R4bJAh+r9bZafufDoabUr8LqdaQz69eJrL6W23spBbzX2BhcHvNXU1lspvvbSoOUrG3w4Gl180RD89b2+tJTJ3/gGX0wa7y835Tomf+MbXF/avjMGUHPajdlUz/FT7W97ttwad9/2FRyNLtylXwt6a9xy72zqyjbzQ7dBcoOLR90Gp8s2Y7l3drs6r166lIZRIzGb6mkYXdJmF6gWl14zkPR0g/LAa3LQW016usGl17TtVGT2ScJ5+VQundCIo9FF8cRGnJdPDZoje+JELWZTPVXHa4K+DjydDE8pqrJKcDS6OJY5Gp5S/vPBXjePv83qpuDva4vahjocjS5q6usuWO6i9d17kMUZGaQPmIij0UXGgEkszshsl1YAUGNqf12+C+elf9bkZqDRzCcXueX92akGf7na4D+vdYsXU/fYYxzs0wdHo4v9ffpQ99hj1C1e3Kbci8Y2VpllNF9RiKPRhfeKQlaZZbxobGtX15GiEnzpSRwuKglaV0pmJvVa41AKbfqP9VqTkhE/I8BCCBGOqE4uUkpdB/xEa31T4PkiAK31ko6+p6uTi1b97/9CsGtSiq999avdUi4Wbco1hF4unmPrTdfQ2XKdret/Vq3C3r4UXuDrX/tal8tF8hrWlB9DW9qP9itTM29w/tnnOzd+TlV+CjbDJKu+mdPpSfisFnKPNXLljKHtvv9CZHKRECIeRTvHswA40ur50cC5NpRS9yulypRSZdVdnESSkd0PV3oWWAKXZrHgSs8iK6dfm3KO/vlByyVn57cpl94nJ2i5jL7n8uns2YXB68ppm7uZkZ3dQWw5bdvMHhi8zZxBbcr1HXBZ0HL9cy9vUy4po2/QcvasvmfLZOUHb7NvQds27XkdvG4Fbd/GPkOLcaVnnlcuk35D28aWPKD9a1KflkXqgLb5ivZLgr/GzksuaVNuQH4+1pQ+bcpZU/uQX3Dufe3sNeQVFLavK6UPBYVtRyhzBg0N2uaAQW07CraMrA7ehz5tyqXlF9AQ5LVLaxVfXtFlQdssGHxFm7qS+hUEbzO7IKRylgFF1Ad5v2x5RSHV15nPemc+vwCpqVnsszppmTrnAfZZnaRnZLUpl9y3H3stjjbl9locpPZr+zsiOXdA0HZT8/LaXkN+8M9TRqv3K7uqAluVC2X6O6jK1NgqXQw43jbPt9rZhOf9w/SrcuP0mvSrcuN57zAnU+Jgm1khhIiAaHc8gyX4tRsq0Fq/oLUep7Uel93BBI2OzLphGgYWME1/PqFpYmBpl+c5f+rEoOXOz/O8ecYUDFS7cq3zPG+54brgdZ2X5znrhhuC1nXjlClt27zh2qD1nZ/nOWPy6KD1TZvUds3HBTdND1qudZ7cjRODtKks7fI8b7k+yOumLO3yPGdeNQav0dymnNfwMf2qtrHNnRzkNVGWdnmet4wP8horC/POm+gzZeJEf+5qq3JgaZPn2dlrmDThOtR5saEVE6+7tk25G665KmibU665qk25L980E6/Bea+J5paZbfNsZ0+c0O41MZVidqv4Jl09Omib5+d5LpjWvi4DS7t8S3+59p+588vdOvlqzCDv1/l5np2trzOf9c58fgEWzLkRU0MS/tHLJMDUtMvz/MqM6ZhatSlnaNUuz3PupMlBY5tz/fVtr2Fi8N8ls1q9X9ddNwG8Blr5O51aAc0G468977N0/Wh8zT5sNvD5NDYbNPuamTxhNEIIkQiiPbnoKNB6uKgQiMw6O60kaYO69L7YPR68DgdJOngeZUs5PAY4rBcoZ/rra/LiTbYHLddSl/ZqlF1dvC6vF689eF1trsGr8Nr1RetzNifhTmq+aDnd2IRKSQ5azqYN6jL64sCCBxObGbwumzY4ndEXbWqURZHUQTk7itqUFJLSHDS7PEFvb/rrMzmd3hfV7EUndfyatLRrWC1YDbPDdtEG1tR+JGmDZmWFDq61M9egMf11KZNmbQlaV+s2LVYHpuHpsJwdk9rkTIzGBqwpqdjb/90ViE9zJiMLm2ngs1ixmUHKtVynzU6zz9thmy3vvenWWJwX+mwanSrX8n55fQq77UKfzc7V15nPemc+vwA2pdmnnPTzeDjpcGBTHby+Fs0e00Gm4aPOaiPJ0tH7YPg/m75mtC3pwp/N9L5YjGZMa/ByptMGh06hzhxGZ1yCmRJ8SSunw8Gezytp6usludZOssMZtJwQQvRE0c7xtAF7genAF8CHQKnWemdH35OIC8gLIUR3kxxPIUQ8iuqIp9bap5R6CPgr/uWU/nChTqcQQgghhEgcUV/HU2v9BvBGtNsVQgghhBCxJTsXCSGEEEKIqJCOpxBCCCGEiArpeAohhBBCiKiQjqcQQgghhIiKqC6nFAqlVDVwKMRv7w90sIl1jyHXEB/kGuKDXEPnDdJad20HDiGE6GZx3/EMh1KqrKevYyfXEB/kGuKDXIMQQvRscqtdCCGEEEJEhXQ8hRBCCCFEVCR6x/OFWAcQAXIN8UGuIT7INQghRA+W0DmeQgghhBAifiT6iKcQQgghhIgT0vEUQgghhBBRIR1PIYQQQggRFdLxFEIIIYQQUSEdTyGEEEIIERX/H0fK+SFfKhFlAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure()\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": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Je calcule le nombre total de répliques et de mots prononcés par chaque personnage. " + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "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": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "NW.sum(axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Du plus silencieux au plus bavard:" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "hideCode": false, + "hidePrompt": false, + "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": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "NW.sum(axis=0).sort_values()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "C'est donc 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": 19, + "metadata": { + "hideCode": false, + "hidePrompt": false, + "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": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "NS.sum(axis=0).sort_values()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "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": { + "hideCode": false, + "hidePrompt": false + }, + "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": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Pour calculer les hauteurs de chaque rectangle:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "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": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Height = NW.sum(axis=1)\n", + "Height" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Je transforme ensuite le nombre de mots en pourcentage:" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "hideCode": false, + "hideOutput": true, + "hidePrompt": false, + "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": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "NW_percent=NW.div(Height, axis=0)\n", + "NW_percent" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Je vais avoir besoin du nombre total de mots:" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "19818" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "NWtot=Height.sum()\n", + "NWtot" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Il reste à faire une jolie figure avec tout ça..." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "hideCode": false, + "hidePrompt": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.3,1.02,\"L'Avare de Molière\")" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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KO2e7+6gkb1pPQ6rqokmeOLHoqbOgzWo9NcMUCPNuW1U3nlp5m41Hlrhopq+zJElV3SLJeBqcIzbi/pvzkAxT34w9vbtPWGkl3f3jDNNQTAWspsI8O8Zucr9/Lsn/XuvGVXXxDL8DY7/V3R9aQ5W/neRLo7I7zqbyAQAAAIBtJ1ABAFtvalSJN81GoVjK+5JMhRRW/bR/d38kybiDb58kD1tNPVVVGaZwGFvJdB8b6cgMo2LMu+UG1Pt/1tnp/LTs+vetd670SfWx7v5BkheNivfN9HewoarqApm+1v5vd4+nXVmJp2e603ylnpjkgFHZZ5L8/Voqm43c8pcTizZqNI2N9JYMox7MW6qd42XnZOPv0V+fKPt4hilKVqW7P5XkpROLHjkb4Wen2h3u9z+bXetr9aQkFx6VfSrJy9dS2Ww0jqmRTXbifQcAAADAXkigAgC20GzI+ptOLFp2mPRZx/7Ueo+qqvGoASsx1aG62mk/7pTkyqOyU7LO0QdWq7u/meTbo+LxNCSr9eXuXvOUCLOwydQoGS9ce5OSJEdNlN12nXWuxI2z6wgEZ2eNHfOzEUz+dR3tmQr/vGgtU8fMeX2SM0dlW3FuV6W7f57kdaPiO1bVQeN1q2r/7Hod/mt3f32j2jMLOdx8YtHL1hFIeslE2YWyA7+PZLe530/O9NRRqzF13/3dbESNtXpddg1X7cjvGQAAAIC9j0AFAGytx06UfS3Je1e4/VTn9YFJfnkNbTkqw5Pq825SVddbRR1TAYyVjLaxGcajJFy+qsZTq6zG+9axbZJcP8klRmU/yfpCBOnuLyb57qj4Vuupc4V+aaLsQ909DrKsxtFr2Wg23cfUlADLTZuzpO4+LcnHRsXXr6qLrKfeTTKe9qOSHD6x3gOTjNs/3na9bjHb/7xzkrxhrRXORqmYmipkI0ae2Qy7w/1+3CyMsyZVdYkk4/8+dIYRU9asu3+a5BOj4htW1XgkDAAAAADYcgIVALBFqmqfJI+YWHTUSp/i7u4vJ5map35qGpHl6vpmpjv7VjRKRVX9QpL7Tyxa11QCVXXpqjqsqp5XVf9aVV+squ9U1WlV1Yu9khwyUd16pgf46Dq2TaafsP5Ud5+xznqT5MTR50tV1eU3oN6lTI1AcPw661zrOb51dv177De6+zvrbE+y67k9X4bO8h2lu4/PMNXCvMNnIyXMG0+d8MMkx2xwc6ZGg/lid/9wnfUeN1G2UwMVu8P9vt7ftNtk1+DMV7v7++usN9n1GM+fXcMbAAAAALDlLrDdDQCAvci9k1x6onzZ6T5GXpWhQ/k8dVfVpdfQsXVkkruNyh5ZVb+3gqkTHphk/ATxiUnWNE1GVd0pyTOS3CUb93eUiyVZayf7N9a576lO+JOrar1TkSTDU+Fjl0jyrQ2oezEHTZR9cp11fjbDFBv7rHK7qXP7vQ06t/tOlI1HHtgpjkjyvLnPV8kwDc+/JUlVXS3J7Ubb/EN3n77B7Thoomw84sBafHyi7CobUO9m2B3u9834Tfv+Bh3j1G/ATr3vAAAAANiLCFQAwNYZPymeDEOwf2GV9bwhyd8kudBc2cLoF89fZV3HJDk5yUXnyg5Mctck71xm26mRLF690tE2FlTVxZK8JMlDVrPdCq1nyPiT17nvS06U3Wv22gyb3fl48Ymy8TQrq9LdZ1bVjzMdNFrK1Lm9cZIPr6c9S9ipHbuvSfIXOW8I5NGZBSoy/OaMRxTY6Ok+kulrYyPCPVN1TO1rJ9gd7vfN+E27Wfa++w4AAACAvYgpPwBgC1TVgUnuMbFo1dNjdPdPMj1k/1RgY7m6fpbk6IlFS077UVVXSXL7cXVZ5fFU1SUydP5uRpgi2bUzeTVOW+e+pzofN9NFl19lXaamT/nJBtS7lk7ePe3crkl3n5Tkn0fF96+qi1bV+ZIcOlr2ye6eGvVhvaZCDpt1bSwc206zO1yTftMAAAAAYJWMUAEAW+PQDHPCz+skX13jcOmfTPKwUdkNquqm3X38Kus6MsnjR2X3raqLdvdind2HZtewwge6+yur3PfrMowsMOXkDE8+fyLJ1zM8rX5akp8nOWNi/SOS/OIq97+ZtrozcHx9bbT9JsqmvofVWsv0E3vauV2PVya5/9znC2X4bTgxyZUm1t0MF5oo+9kG1DtVR832d+oG1L+R9oZrcm84RgAAAAA4D4EKANgaj54oqyTv2IT9rCpQ0d3/UVVfTHLNueILJnlQkpcvstn4yfdk9aNT3D/J3SYWfTHJM5P8Y3eftYr61tIxv5nO3u4GbLCTk1xqVHbABtR7kTVss6ed2/V4Z4aw0eXnyh6d5Kuj9c5I8tpNasPUaBQbcW1M1XFWd++0MEWyd1yTe8MxAgAAAMB57MThcgFgj1JVt05y7S3a3cOq6oJr2G4qDDE57cfseK4xKj4tyRtXuc/fnCj7WJKbdfcbVhOmmJmadmA7/XSi7He6uzbpNTUNzEb68UTZRjyxvpY6ps7tizbx3D5/vQe5Wbr77CSvHhXfPMn9RmVv7e4fbFIzfjRRtpagzNjUtTG1r51gT7vfp0wd4ws28Rj/dsuPEAAAAABGBCoAYPNNjU6xWS6e5L5r2O7VSc4Zld2mqq4+se5U0OLN3T3V2Tapqi6e5DYTiw5fYpqR5Vxyjdttlq9PlE2dz93FSRNl15woW7GqukzW1vG+p53b9ZqaymM8Et1mTfeRTIccrrYB9U59pzs1ULE3XJN7wzECAAAAwHkIVADAJqqqCyd58Bbv9jGr3aC7v57kvROLzjO1x2z0i6njOXKVu7xhdu3w/UR3f3qV9Sy069pJLryWbTfRZyfKbrjlrdg4n5woO2Sddd5ojdtNnduDq6rW05jdVXd/McmHlljlm0mO3cQmTH0fa/1ul6tjal87wZ52v0+ZvO+2vBUAAAAAsIUEKgBgcz0oyQGjsk5ypY0YEj3JvSf2eeequtIa2nrkRNmho07q+2bXYfgXC2Ms5bITZZ9bZR3zpka72G4fnii7eVVNHfvu4CMTZXesqvX8ffLOa9zuuImyA5PcdB1t2d0tNQLFq7p7PALNRpq61i9fVeOpgVZsdl3ddoX72gn2tPt9ytQxXqmqNiI8AwAAAAA7kkAFAGyuqek+PtDd39ig+t+V5AejsvMlOXwNdb05yXjajoOS3G7u89R0H69eQ2ftOJSRJKesso55qx6VYwscl12nyThfkkduQ1s2woczhIHmHZjkTmupbNZh/vC1bDu7fz4xsejQibK9xdFZ/B46YpP3/bEkp0+Ur+dav2uSy0+U79RAxZ52v++iu7+a5ISJRXvzfQcAAADAHk6gAgA2SVVdPdNPWP/DRu2ju89M8qaJRYevdvqD7j4tyRsnFh2WJFV1YIZOzrFXrWY/MydPlE11ni6rqm6V5FZr2XYzdffZSV43sej3qmoqULKjdfe3k/zbxKLfXWOVj0pyhbW3KEdNlD2hqq66jjp3W919SpJ7JLnf6HX37v7SJu/7jCRvm1j0+Nm0R2vxtImyb2aHBir2tPt9CVP33ZOq6ipb3hIAAAAA2AICFQCweR6TZBxqODPToYX1mApoXC3J7ddQ11Q44oFVtX+GJ63PP1r2H939xTXs51sTZbeb7WfFqupCWXqqg+32giRnjcoumeSV65wqY7u8dKLsLlX14NVUUlWXSPIX62zLK5P8eFS2b5LXVtUF11n3bqm7P9Tdx4xex27R7l84UXb5JM9cbUVV9YAkd5tY9KLuHt9PO8medr9PeXmSn4zK9kvymqrabxvaAwAAAACbak/5hz0A2FFmnWdTw6C/q7t/uMG7+0CSr0+Ur3oajO5+f5Ivj4oPyPCk+9R0H0eudh8z/5Xk5xP7+b2VVjDrNH9DkmuvsQ2bbjYywN9OLLp/kpdU1b7rqb+qLlhVj5mNHrIVjkkyFaB5ZVXdYiUVzEIz/5zksutpSHf/OMmzJhbdMskbq+oi66m/qs5fVQ+squutp569RXd/IMlHJxY9o6oestJ6quqQJK+YWHRqkpetsXlbYg+833cx++/Xn0wsuk2SN1TVL6yn/qq6QFU9uKqus556AAAAAGCjCFQAwOa4W5IrTpRv2HQfC7q7k7x+YtED1tip/OqJsmcnGXcs/yzJ0WuoP9398yTvmlj0B1X1W8ttX1W/mOTdSe49V3z2WtqyBf4gyecmyh+f5D9mU5asSlXdpKr+PMnXMnQ+b8mUArMpZh6fpEeLLpzk2Kp64lJTzcw6y/8jQ+hhwWnraNILk7x3ovxXknysqn55tVPfVNV1quoPknwlw2gyV1pH+/Y2j0tyxqjsfEmOqqqnLjdKQ1XdO8mxmb6en9bd39+YZm6qPeZ+X8LzMwT5xu6T4b67+2orrKrrVtUfZrjv3pD1TQcEAAAAABvmAtvdAABYr6oad+6ux1u7+74bUM/U6BCnJnnrBtQ95R+SPGNUtn+Sh2T1T3W/OsOT//Md0VedWO+Y7j55lXXPe3aGDrh5leRvZk+0/32SDyb59mzZ5ZLcOMNoGQ9Oss/cdu/IMOLBTdbRnk3R3afNOoo/lF1HZbhJkg9V1X8medtsna8k+WGGETwukuRiGTr1b5jkkCR3zXRYZ0t0979X1YuTPHm06IAkL0ny9Kp6Q5JPJfluhmM4KMN3fcecN9B7ZJIbZTi2tbTlnNl0Ix/MriOVXD3DdfG5qnpThnP7+Qzn9tRZey+WYVqKg2dtuFOSa62lLSTd/YmqemZ2nc5lnyTPTXJYVR2ZIQz1zSSnZzj/t0jyqCSLdcS/rbunppvZcfa0+31Kd589m5blQ0muOVp8zSTvrKrPJHlzhnvzCzn3vrtIhkDI5TMc4w2T3DnJNbam9QAAAACwOgIVALDBquoSSX51YtFbu3s9T+MvataR+dkk1x0tekxWGajo7hOr6t+T3GGZVY9cTb0T+/loVT0/yVMmFt9q9lqJL2aYjuSd62nPZuruL1fVHTK08SoTq9x89tpdPCVDB+jdJpZdI8N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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "previous=1\n", + "fig=plt.figure()\n", + "plt.rc('axes',edgecolor='w')\n", + "plt.rcParams['figure.figsize'] = [8, 15]\n", + "plt.rcParams['figure.dpi'] = 200\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=[]) # je fais un subplot / scène et j'enlève les ticks\n", + " fig.text(0.86, previous-h*0.6, 'Acte '+acte+' Scène '+sc,fontsize=10) # je mets le nom de la scène à droite\n", + " start=0\n", + " i=0\n", + " for perso in NW.columns: # j'empile des barplots pour chaque personnage en utilisant 'left='\n", + " width = NW_percent[perso][scene] # la longueur de la barre est la portion de la scène où le personnage parle \n", + " ax.barh([acte],[width] , left=[start], height=1, color=[colors[i]], label=perso) \n", + " start+=width\n", + " i+=1\n", + " plt.ylim(-.5,.5)\n", + " plt.xlim(0,1)\n", + " previous-=h\n", + "plt.legend(loc='upper center', bbox_to_anchor=(1.5, 30.0)) # je mets une légende\n", + "fig.text(0.3, 1.02, 'L\\'Avare de Molière',fontsize=20) # j'ajoute un titre\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Et voilà, c'est pas hyper joli, mais ça répond à la question! " + ] + } + ], + "metadata": { + "celltoolbar": "Hide code", + "hide_code_all_hidden": true, + "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 +} diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb deleted file mode 100644 index 9d3701593291a15618ff1540a494f1beced331ce..0000000000000000000000000000000000000000 --- a/module3/exo3/exercice.ipynb +++ /dev/null @@ -1,3837 +0,0 @@ -{ - "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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Premier_II01507250000000000
Premier_III00045924900000000
Premier_IV01582111094000000000
Premier_V666360268000000000
II_Première00350085200000000
II_II00126159131860000000
II_III00021001000000
II_IV00002810116000000
II_V000520001448000000
III_Première2453747290007342220000
III_II10700000018400000
III_III000000181100000
III_IV00000018200017300
III_V0001000021000000
III_VI0160660070003200
III_VII50565172004000021500
III_VIII000200000018000
III_IX6038750000280000
IV_Première05422900039500021800
IV_II031249000000000
IV_III00383364000000000
IV_IV0015814800029200000
IV_V00157120000000000
IV_VI001504000000000
IV_VII000392000000000
V_Première0008400000001030
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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" - ], - "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": [ - "
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\n", - "text/plain": [ - "
" - ] - }, - "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
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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
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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", 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"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 -}