{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1daa77c9",
   "metadata": {},
   "source": [
    "## Análisis de la colección TCE60\n",
    "\n",
    "Este ejemplo muestra cómo analizar el dataset generado a partir de los documentos TEI originales en XML. Se ha creado un fichero en formato CSV que es posible analizar con la librería Pandas de Python. \n",
    "\n",
    "El corpus original se puede consultar en la Biblioteca Virtual Miguel de Cervantes:\n",
    "https://www.cervantesvirtual.com/portales/teatro_clasico_espanol/obra/canon-60-la-coleccion-esencial-del-tc12-teatro-clasico-espanol/\n",
    "\n",
    "La colección se basa en los parlamentos de las obras incluidas en el corpus TCE60 organizados a modo de registro (idRegistro, idAutoridad, Personaje, Texto) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "128e6210",
   "metadata": {},
   "source": [
    "### Importamos las librerías de Python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "558aad51",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "644f8c1e",
   "metadata": {},
   "source": [
    "#### Clase Corpus_TEC60\n",
    "Se ha creado una clase en Python que permite cargar y analizar la colección en formato CSV. A continuación, se detallan los diferentes métodos disponibles para analizar su contenido. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "45870a37",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Corpus_TCE60:\n",
    "    def __init__(self, path_csv):\n",
    "        self.df = pd.read_csv (path_csv, sep=';')\n",
    "    \n",
    "    def estructura(self) :\n",
    "        print('#### estructura del corpus:') \n",
    "        print(self.df.columns.tolist())\n",
    "        print(self.df.dtypes)\n",
    "\n",
    "    def num_parlamentos(self):\n",
    "        print('#### numero de parlamentos:') \n",
    "        print(self.df.count())\n",
    "    \n",
    "    def num_personajes_obra(self):\n",
    "        print('#### Num de personajes por obra:') \n",
    "        personajes_by_registro = self.df.groupby(\"Registro\")[\"Personaje\"].apply(lambda x: x.unique().shape[0])\n",
    "        print(personajes_by_registro.head(10))\n",
    "\n",
    "    def num_registros_por_obra(self):\n",
    "        print('#### Num de registros por obra:') \n",
    "        print(self.df.groupby(\"Registro\").size())\n",
    "    \n",
    "    def num_obras(self):\n",
    "        print('#### num_obras en el corpus:') \n",
    "        print(self.df['Registro'].describe())\n",
    "        \n",
    "    def num_autores(self):\n",
    "        print('#### num_autores en el corpus:') \n",
    "        print(self.df['ID Autoridad'].describe())\n",
    "        \n",
    "    def grafica_parlamentos_autor(self):\n",
    "        self.df.groupby(['ID Autoridad']).count()['Registro'].plot(kind=\"barh\")\n",
    "        plt.title(\"Parlamentos por autor\")\n",
    "        plt.ylabel(\"Id Autoridad\")\n",
    "        plt.xlabel(\"Núm parlamentos\")\n",
    "        plt.show()\n",
    "        \n",
    "    def obras_autor(self):\n",
    "        self.df.groupby('ID Autoridad').Registro.nunique().plot(kind=\"barh\")\n",
    "        plt.title(\"Obras por autor\")\n",
    "        plt.ylabel(\"Id Autoridad\")\n",
    "        plt.xlabel(\"Núm obras\")\n",
    "        plt.show()\n",
    "       "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a071ac40",
   "metadata": {},
   "source": [
    "### Inicializamos la clase y ejecutamos los diferentes métodos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "ce0f8300",
   "metadata": {},
   "outputs": [],
   "source": [
    "corpus = Corpus_TCE60('../data/procesado.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "7ab60fde",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#### estructura del corpus:\n",
      "['Registro', 'ID Autoridad', 'Índice', 'Personaje', 'Contenido XML', 'Contenido texto']\n",
      "Registro           object\n",
      "ID Autoridad       object\n",
      "Índice              int64\n",
      "Personaje          object\n",
      "Contenido XML      object\n",
      "Contenido texto    object\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "# columnas del fichero CSV con el contenido de la colección TCE60\n",
    "corpus.estructura()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "b2f64bc0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#### num_obras en el corpus:\n",
      "count          47895\n",
      "unique            60\n",
      "top       682342.xml\n",
      "freq            1405\n",
      "Name: Registro, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# 60 obras\n",
    "corpus.num_obras()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "23821860",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#### num_autores en el corpus:\n",
      "count     47895\n",
      "unique       22\n",
      "top          72\n",
      "freq      13304\n",
      "Name: ID Autoridad, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# 22 autores\n",
    "corpus.num_autores()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "b9e8e0f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#### Num de personajes por obra:\n",
      "Registro\n",
      "681756.xml    16\n",
      "681765.xml    30\n",
      "681843.xml     9\n",
      "681846.xml    15\n",
      "681849.xml    20\n",
      "681855.xml    22\n",
      "681858.xml    19\n",
      "681861.xml    19\n",
      "681864.xml    20\n",
      "681868.xml    12\n",
      "Name: Personaje, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# personajes por obra\n",
    "corpus.num_personajes_obra()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "6a243ec9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#### Num de registros por obra:\n",
      "Registro\n",
      "681756.xml     665\n",
      "681765.xml     774\n",
      "681843.xml     763\n",
      "681846.xml     313\n",
      "681849.xml     785\n",
      "681855.xml     763\n",
      "681858.xml     740\n",
      "681861.xml     640\n",
      "681864.xml     496\n",
      "681868.xml     490\n",
      "681873.xml     761\n",
      "682308.xml     351\n",
      "682311.xml    1150\n",
      "682314.xml     631\n",
      "682317.xml     580\n",
      "682320.xml     750\n",
      "682323.xml    1034\n",
      "682330.xml    1099\n",
      "682333.xml     347\n",
      "682342.xml    1405\n",
      "682348.xml    1131\n",
      "682351.xml     856\n",
      "682360.xml     862\n",
      "682363.xml     985\n",
      "682366.xml     875\n",
      "682369.xml    1244\n",
      "682375.xml    1233\n",
      "682378.xml     556\n",
      "682381.xml     864\n",
      "682384.xml     268\n",
      "682387.xml     598\n",
      "703732.xml     795\n",
      "703735.xml     868\n",
      "703738.xml     925\n",
      "703741.xml     240\n",
      "703744.xml     837\n",
      "703747.xml    1090\n",
      "703753.xml     535\n",
      "703759.xml    1064\n",
      "703765.xml     789\n",
      "703774.xml     859\n",
      "703795.xml     888\n",
      "703942.xml    1057\n",
      "703951.xml     643\n",
      "707437.xml     753\n",
      "707442.xml     755\n",
      "707446.xml     786\n",
      "707454.xml     813\n",
      "707658.xml     927\n",
      "707661.xml    1208\n",
      "707664.xml     762\n",
      "707670.xml    1150\n",
      "707673.xml     775\n",
      "707678.xml     878\n",
      "707685.xml     976\n",
      "708744.xml     676\n",
      "738313.xml     458\n",
      "738319.xml     936\n",
      "738323.xml     558\n",
      "738328.xml     885\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# numero de parlamentos por obra\n",
    "corpus.num_registros_por_obra()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "d256d4d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# identificador autoridad en la BVMC y número de parlamentos en el corpus completo\n",
    "corpus.grafica_parlamentos_autor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "544d5c59",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# obras por autor, identificador de la BVMC (por ejemplo 72 corresponde a Lope de Vega) \n",
    "corpus.obras_autor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "6f09af4f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#### numero de parlamentos:\n",
      "Registro           47895\n",
      "ID Autoridad       47895\n",
      "Índice             47895\n",
      "Personaje          47398\n",
      "Contenido XML      47895\n",
      "Contenido texto    47895\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "corpus.num_parlamentos()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4cabd323",
   "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}