{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "998bd3b9",
   "metadata": {},
   "source": [
    "# Parte 2: Transformación de columnas en DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f406ade1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "pd.options.display.float_format = '{:.2f}'.format #Desactivar notación científica en pandas:\n",
    "np.set_printoptions(suppress=True) #Desactivar notación científica en numpy:\n",
    "pd.set_option('display.max_columns', None) #comando para mostrar todas las columnas"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1209aca3",
   "metadata": {},
   "source": [
    "Cargamos datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b3b877d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "cliente = pd.read_csv('./data/dimension_cliente.csv', sep='\\t', encoding='UTF-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "92825eb3-c9e1-4365-8920-7b38f946098a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idCliente</th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido1</th>\n",
       "      <th>Apellido2</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Direccion</th>\n",
       "      <th>Municipio</th>\n",
       "      <th>Provincia</th>\n",
       "      <th>CP</th>\n",
       "      <th>Comunidad</th>\n",
       "      <th>Movil</th>\n",
       "      <th>Telefono</th>\n",
       "      <th>Correo</th>\n",
       "      <th>Nacimiento</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>8899616E</td>\n",
       "      <td>Adrián</td>\n",
       "      <td>Fernández</td>\n",
       "      <td>Rey</td>\n",
       "      <td>H</td>\n",
       "      <td>Plaza  Septentrional Verde 149, 5</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1440</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>684 680 588</td>\n",
       "      <td>945 796 001</td>\n",
       "      <td>afernandez@correo.es</td>\n",
       "      <td>07/09/1974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>43238429 Q</td>\n",
       "      <td>José</td>\n",
       "      <td>Hernández</td>\n",
       "      <td>Domínguez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo de  Estratega Joven 57, 1º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1271</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>625265233,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>josehernandez@mail.net</td>\n",
       "      <td>20/09/1937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>78747399</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Romero</td>\n",
       "      <td>Tena</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida Ocasión 83, 1º 5ª</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1606</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>671737062,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>juliaromero51@mail.es</td>\n",
       "      <td>28/02/1963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>91929848k</td>\n",
       "      <td>Raquel</td>\n",
       "      <td>Puebla</td>\n",
       "      <td>Álvarez</td>\n",
       "      <td>M</td>\n",
       "      <td>Calle Trapezoide Prolijo 84, 3º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1205</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>945562191,0</td>\n",
       "      <td>raquel.puebla@correo.com</td>\n",
       "      <td>23/07/1981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>24485203-R</td>\n",
       "      <td>Alberto</td>\n",
       "      <td>Gomis</td>\n",
       "      <td>Vázquez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo Hemograma 233, 6</td>\n",
       "      <td>Almansa</td>\n",
       "      <td>Albacete</td>\n",
       "      <td>2552</td>\n",
       "      <td>Castilla La Mancha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>agomis@mail.es</td>\n",
       "      <td>04/04/1956</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   idCliente         NIF   Nombre  Apellido1  Apellido2 Sexo  \\\n",
       "0          1    8899616E   Adrián  Fernández        Rey    H   \n",
       "1          2  43238429 Q     José  Hernández  Domínguez    H   \n",
       "2          3    78747399    Julia     Romero       Tena    M   \n",
       "3          4   91929848k   Raquel     Puebla    Álvarez    M   \n",
       "4          5  24485203-R  Alberto      Gomis    Vázquez    H   \n",
       "\n",
       "                           Direccion Municipio Provincia    CP  \\\n",
       "0  Plaza  Septentrional Verde 149, 5   Vitoria     Álava  1440   \n",
       "1   Paseo de  Estratega Joven 57, 1º   Vitoria     Álava  1271   \n",
       "2          Avenida Ocasión 83, 1º 5ª   Vitoria     Álava  1606   \n",
       "3    Calle Trapezoide Prolijo 84, 3º   Vitoria     Álava  1205   \n",
       "4             Paseo Hemograma 233, 6   Almansa  Albacete  2552   \n",
       "\n",
       "            Comunidad         Movil      Telefono                    Correo  \\\n",
       "0          País Vasco   684 680 588   945 796 001      afernandez@correo.es   \n",
       "1          País Vasco   625265233,0           NaN    josehernandez@mail.net   \n",
       "2          País Vasco   671737062,0           NaN     juliaromero51@mail.es   \n",
       "3          País Vasco           NaN   945562191,0  raquel.puebla@correo.com   \n",
       "4  Castilla La Mancha           NaN           NaN            agomis@mail.es   \n",
       "\n",
       "   Nacimiento  \n",
       "0  07/09/1974  \n",
       "1  20/09/1937  \n",
       "2  28/02/1963  \n",
       "3  23/07/1981  \n",
       "4  04/04/1956  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cliente.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "49d49acf-48f8-4082-b233-767952e60304",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(200, 15)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cliente.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "37794355-8b27-48ed-9807-0fcdf66e15d8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 200 entries, 0 to 199\n",
      "Data columns (total 15 columns):\n",
      " #   Column      Non-Null Count  Dtype \n",
      "---  ------      --------------  ----- \n",
      " 0   idCliente   200 non-null    int64 \n",
      " 1   NIF         200 non-null    object\n",
      " 2   Nombre      200 non-null    object\n",
      " 3   Apellido1   200 non-null    object\n",
      " 4   Apellido2   200 non-null    object\n",
      " 5   Sexo        200 non-null    object\n",
      " 6   Direccion   200 non-null    object\n",
      " 7   Municipio   200 non-null    object\n",
      " 8   Provincia   200 non-null    object\n",
      " 9   CP          200 non-null    int64 \n",
      " 10  Comunidad   200 non-null    object\n",
      " 11  Movil       116 non-null    object\n",
      " 12  Telefono    82 non-null     object\n",
      " 13  Correo      198 non-null    object\n",
      " 14  Nacimiento  198 non-null    object\n",
      "dtypes: int64(2), object(13)\n",
      "memory usage: 23.6+ KB\n"
     ]
    }
   ],
   "source": [
    "cliente.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd1bea40-9893-4512-bc11-353b565efad3",
   "metadata": {},
   "source": [
    "Existen multitud de herramientas que nos van permitir realizar el análisis exploratorio inicial de manera rápida.  Una de ellas es Sweetwiz.\n",
    "https://github.com/fbdesignpro/sweetviz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "34c0b73d-87f0-45e4-99c3-cd18dbc25764",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sweetviz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ec156847-2ddb-4713-9a11-674bda8db16c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7dbb08b9c20d40bba9f077d2a48b99b8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "                                             |          | [  0%]   00:00 -> (? left)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "informe = sweetviz.analyze(cliente)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ed41b2f1-2810-4796-b5a9-3f5e85908ddb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Report SWEETVIZ_REPORT.html was generated! NOTEBOOK/COLAB USERS: the web browser MAY not pop up, regardless, the report IS saved in your notebook/colab files.\n"
     ]
    }
   ],
   "source": [
    "informe.show_html()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "245045aa-187e-4163-bac2-b1ea564035c7",
   "metadata": {},
   "source": [
    "¿Qué podéis decirme de la variable CP? ¿Tiene sentido que el informe nos devuelva la media, mediana, ...?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "164f4355-2512-42a5-b1f7-6b005dc68ddb",
   "metadata": {},
   "source": [
    "Otra herramienta Pandas Profiling... https://github.com/pandas-profiling/pandas-profiling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7a8b17bc-48d0-4963-87c3-6ea258cfa8a9",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: dtale in /home/mydoctor/anaconda3/lib/python3.8/site-packages (1.61.1)\n",
      "Requirement already satisfied: dash-bootstrap-components in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (1.0.0)\n",
      "Requirement already satisfied: pandas in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (1.3.4)\n",
      "Requirement already satisfied: openpyxl in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (3.0.9)\n",
      "Requirement already satisfied: xlrd in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (0.7.1)\n",
      "Requirement already satisfied: networkx in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (2.6.3)\n",
      "Requirement already satisfied: six in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (1.16.0)\n",
      "Requirement already satisfied: kaleido in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (0.2.1)\n",
      "Requirement already satisfied: statsmodels in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (0.12.2)\n",
      "Requirement already satisfied: strsimpy in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (0.2.1)\n",
      "Requirement already satisfied: flask-ngrok in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (0.0.25)\n",
      "Requirement already satisfied: dash-colorscales in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (0.0.4)\n",
      "Requirement already satisfied: future>=0.14.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (0.18.2)\n",
      "Requirement already satisfied: packaging<=21.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (21.0)\n",
      "Requirement already satisfied: lz4 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (3.1.3)\n",
      "Requirement already satisfied: Flask in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (1.1.2)\n",
      "Requirement already satisfied: numpy in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (1.20.3)\n",
      "Requirement already satisfied: missingno<=0.4.2 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (0.4.2)\n",
      "Requirement already satisfied: scikit-learn==0.24.2 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (0.24.2)\n",
      "Requirement already satisfied: scipy in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (1.7.1)\n",
      "Requirement already satisfied: itsdangerous in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (2.0.1)\n",
      "Requirement already satisfied: matplotlib in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (3.4.3)\n",
      "Requirement already satisfied: et-xmlfile in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (1.1.0)\n",
      "Requirement already satisfied: plotly>=5.0.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (5.4.0)\n",
      "Requirement already satisfied: dash-daq in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (0.5.0)\n",
      "Requirement already satisfied: dash>=2.0.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (2.0.0)\n",
      "Requirement already satisfied: cycler in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (0.10.0)\n",
      "Requirement already satisfied: ppscore in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (1.2.0)\n",
      "Requirement already satisfied: Flask-Compress in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (1.10.1)\n",
      "Requirement already satisfied: seaborn in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (0.11.2)\n",
      "Requirement already satisfied: squarify in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (0.4.3)\n",
      "Requirement already satisfied: xarray in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (0.20.1)\n",
      "Requirement already satisfied: requests in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dtale) (2.26.0)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from scikit-learn==0.24.2->dtale) (2.2.0)\n",
      "Requirement already satisfied: joblib>=0.11 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from scikit-learn==0.24.2->dtale) (1.0.1)\n",
      "Requirement already satisfied: dash-core-components==2.0.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dash>=2.0.0->dtale) (2.0.0)\n",
      "Requirement already satisfied: dash-html-components==2.0.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dash>=2.0.0->dtale) (2.0.0)\n",
      "Requirement already satisfied: dash-table==5.0.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from dash>=2.0.0->dtale) (5.0.0)\n",
      "Requirement already satisfied: Jinja2>=2.10.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from Flask->dtale) (2.11.3)\n",
      "Requirement already satisfied: Werkzeug>=0.15 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from Flask->dtale) (0.16.1)\n",
      "Requirement already satisfied: click>=5.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from Flask->dtale) (8.0.3)\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from Jinja2>=2.10.1->Flask->dtale) (2.0.1)\n",
      "Requirement already satisfied: pyparsing>=2.0.2 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from packaging<=21.0->dtale) (3.0.4)\n",
      "Requirement already satisfied: tenacity>=6.2.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from plotly>=5.0.0->dtale) (8.0.1)\n",
      "Requirement already satisfied: brotli in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from Flask-Compress->dtale) (1.0.9)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from matplotlib->dtale) (2.8.2)\n",
      "Requirement already satisfied: pillow>=6.2.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from matplotlib->dtale) (8.4.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from matplotlib->dtale) (1.3.1)\n",
      "Requirement already satisfied: pytz>=2017.3 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas->dtale) (2021.3)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from requests->dtale) (3.2)\n",
      "Requirement already satisfied: charset-normalizer~=2.0.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from requests->dtale) (2.0.4)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from requests->dtale) (2021.10.8)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from requests->dtale) (1.26.7)\n",
      "Requirement already satisfied: patsy>=0.5 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from statsmodels->dtale) (0.5.2)\n"
     ]
    }
   ],
   "source": [
    "!pip install dtale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f612e600-1ee7-49d6-8459-c03e9930a134",
   "metadata": {},
   "outputs": [],
   "source": [
    "import dtale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fc74c076-af9a-414e-b6de-b2cfbe595eaf",
   "metadata": {},
   "outputs": [],
   "source": [
    "d = dtale.show(cliente)\n",
    "d.open_browser()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a5385d87-c141-4bb2-b8bc-bac11d703259",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 200 entries, 0 to 199\n",
      "Data columns (total 15 columns):\n",
      " #   Column      Non-Null Count  Dtype \n",
      "---  ------      --------------  ----- \n",
      " 0   idCliente   200 non-null    int64 \n",
      " 1   NIF         200 non-null    object\n",
      " 2   Nombre      200 non-null    object\n",
      " 3   Apellido1   200 non-null    object\n",
      " 4   Apellido2   200 non-null    object\n",
      " 5   Sexo        200 non-null    object\n",
      " 6   Direccion   200 non-null    object\n",
      " 7   Municipio   200 non-null    object\n",
      " 8   Provincia   200 non-null    object\n",
      " 9   CP          200 non-null    int64 \n",
      " 10  Comunidad   200 non-null    object\n",
      " 11  Movil       116 non-null    object\n",
      " 12  Telefono    82 non-null     object\n",
      " 13  Correo      198 non-null    object\n",
      " 14  Nacimiento  198 non-null    object\n",
      "dtypes: int64(2), object(13)\n",
      "memory usage: 23.6+ KB\n"
     ]
    }
   ],
   "source": [
    "cliente.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7550e28c-ad39-45d5-80a1-5f1d9392df5a",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pandas-profiling[notebook] in /home/mydoctor/anaconda3/lib/python3.8/site-packages (3.1.0)\n",
      "Requirement already satisfied: phik>=0.11.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (0.12.0)\n",
      "Requirement already satisfied: numpy>=1.16.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (1.20.3)\n",
      "Requirement already satisfied: seaborn>=0.10.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (0.11.2)\n",
      "Requirement already satisfied: missingno>=0.4.2 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (0.4.2)\n",
      "Requirement already satisfied: requests>=2.24.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (2.26.0)\n",
      "Requirement already satisfied: tqdm>=4.48.2 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (4.62.3)\n",
      "Requirement already satisfied: scipy>=1.4.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (1.7.1)\n",
      "Requirement already satisfied: matplotlib>=3.2.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (3.4.3)\n",
      "Requirement already satisfied: pydantic>=1.8.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (1.8.2)\n",
      "Requirement already satisfied: joblib~=1.0.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (1.0.1)\n",
      "Requirement already satisfied: PyYAML>=5.0.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (6.0)\n",
      "Requirement already satisfied: markupsafe~=2.0.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (2.0.1)\n",
      "Requirement already satisfied: visions[type_image_path]==0.7.4 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (0.7.4)\n",
      "Requirement already satisfied: pandas!=1.0.0,!=1.0.1,!=1.0.2,!=1.1.0,>=0.25.3 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (1.3.4)\n",
      "Requirement already satisfied: htmlmin>=0.1.12 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (0.1.12)\n",
      "Requirement already satisfied: jinja2>=2.11.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (2.11.3)\n",
      "Requirement already satisfied: multimethod>=1.4 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (1.6)\n",
      "Requirement already satisfied: tangled-up-in-unicode==0.1.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (0.1.0)\n",
      "Requirement already satisfied: jupyter-core>=4.6.3 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (4.8.1)\n",
      "Requirement already satisfied: jupyter-client>=6.0.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (6.1.12)\n",
      "Requirement already satisfied: ipywidgets>=7.5.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas-profiling[notebook]) (7.6.5)\n",
      "Requirement already satisfied: attrs>=19.3.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from visions[type_image_path]==0.7.4->pandas-profiling[notebook]) (21.2.0)\n",
      "Requirement already satisfied: networkx>=2.4 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from visions[type_image_path]==0.7.4->pandas-profiling[notebook]) (2.6.3)\n",
      "Requirement already satisfied: imagehash in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from visions[type_image_path]==0.7.4->pandas-profiling[notebook]) (4.2.1)\n",
      "Requirement already satisfied: Pillow in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from visions[type_image_path]==0.7.4->pandas-profiling[notebook]) (8.4.0)\n",
      "Requirement already satisfied: jupyterlab-widgets>=1.0.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipywidgets>=7.5.1->pandas-profiling[notebook]) (1.0.0)\n",
      "Requirement already satisfied: traitlets>=4.3.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipywidgets>=7.5.1->pandas-profiling[notebook]) (5.1.0)\n",
      "Requirement already satisfied: widgetsnbextension~=3.5.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipywidgets>=7.5.1->pandas-profiling[notebook]) (3.5.1)\n",
      "Requirement already satisfied: ipython-genutils~=0.2.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.2.0)\n",
      "Requirement already satisfied: ipython>=4.0.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipywidgets>=7.5.1->pandas-profiling[notebook]) (7.29.0)\n",
      "Requirement already satisfied: ipykernel>=4.5.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipywidgets>=7.5.1->pandas-profiling[notebook]) (6.4.1)\n",
      "Requirement already satisfied: nbformat>=4.2.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipywidgets>=7.5.1->pandas-profiling[notebook]) (5.1.3)\n",
      "Requirement already satisfied: matplotlib-inline<0.2.0,>=0.1.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.1.2)\n",
      "Requirement already satisfied: debugpy<2.0,>=1.0.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.5.1->pandas-profiling[notebook]) (1.4.1)\n",
      "Requirement already satisfied: tornado<7.0,>=4.2 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.5.1->pandas-profiling[notebook]) (6.1)\n",
      "Requirement already satisfied: setuptools>=18.5 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (58.0.4)\n",
      "Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (3.0.20)\n",
      "Requirement already satisfied: pexpect>4.3 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (4.8.0)\n",
      "Requirement already satisfied: jedi>=0.16 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.18.0)\n",
      "Requirement already satisfied: pickleshare in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.7.5)\n",
      "Requirement already satisfied: decorator in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (5.1.0)\n",
      "Requirement already satisfied: pygments in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (2.10.0)\n",
      "Requirement already satisfied: backcall in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.2.0)\n",
      "Requirement already satisfied: parso<0.9.0,>=0.8.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from jedi>=0.16->ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.8.2)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from jupyter-client>=6.0.0->pandas-profiling[notebook]) (2.8.2)\n",
      "Requirement already satisfied: pyzmq>=13 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from jupyter-client>=6.0.0->pandas-profiling[notebook]) (22.2.1)\n",
      "Requirement already satisfied: cycler>=0.10 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from matplotlib>=3.2.0->pandas-profiling[notebook]) (0.10.0)\n",
      "Requirement already satisfied: pyparsing>=2.2.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from matplotlib>=3.2.0->pandas-profiling[notebook]) (3.0.4)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from matplotlib>=3.2.0->pandas-profiling[notebook]) (1.3.1)\n",
      "Requirement already satisfied: six in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from cycler>=0.10->matplotlib>=3.2.0->pandas-profiling[notebook]) (1.16.0)\n",
      "Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (3.2.0)\n",
      "Requirement already satisfied: pyrsistent>=0.14.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.18.0)\n",
      "Requirement already satisfied: pytz>=2017.3 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pandas!=1.0.0,!=1.0.1,!=1.0.2,!=1.1.0,>=0.25.3->pandas-profiling[notebook]) (2021.3)\n",
      "Requirement already satisfied: ptyprocess>=0.5 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pexpect>4.3->ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.7.0)\n",
      "Requirement already satisfied: wcwidth in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.2.5)\n",
      "Requirement already satisfied: typing-extensions>=3.7.4.3 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from pydantic>=1.8.1->pandas-profiling[notebook]) (3.10.0.2)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from requests>=2.24.0->pandas-profiling[notebook]) (1.26.7)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from requests>=2.24.0->pandas-profiling[notebook]) (2021.10.8)\n",
      "Requirement already satisfied: charset-normalizer~=2.0.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from requests>=2.24.0->pandas-profiling[notebook]) (2.0.4)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from requests>=2.24.0->pandas-profiling[notebook]) (3.2)\n",
      "Requirement already satisfied: notebook>=4.4.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (6.4.5)\n",
      "Requirement already satisfied: argon2-cffi in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (20.1.0)\n",
      "Requirement already satisfied: nbconvert in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (6.1.0)\n",
      "Requirement already satisfied: terminado>=0.8.3 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.9.4)\n",
      "Requirement already satisfied: Send2Trash>=1.5.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (1.8.0)\n",
      "Requirement already satisfied: prometheus-client in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.11.0)\n",
      "Requirement already satisfied: cffi>=1.0.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (1.14.6)\n",
      "Requirement already satisfied: pycparser in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from cffi>=1.0.0->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (2.20)\n",
      "Requirement already satisfied: PyWavelets in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from imagehash->visions[type_image_path]==0.7.4->pandas-profiling[notebook]) (1.1.1)\n",
      "Requirement already satisfied: mistune<2,>=0.8.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.8.4)\n",
      "Requirement already satisfied: testpath in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.5.0)\n",
      "Requirement already satisfied: jupyterlab-pygments in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.1.2)\n",
      "Requirement already satisfied: nbclient<0.6.0,>=0.5.0 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.5.3)\n",
      "Requirement already satisfied: entrypoints>=0.2.2 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.3)\n",
      "Requirement already satisfied: bleach in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (4.0.0)\n",
      "Requirement already satisfied: defusedxml in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.7.1)\n",
      "Requirement already satisfied: pandocfilters>=1.4.1 in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (1.4.3)\n",
      "Requirement already satisfied: nest-asyncio in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from nbclient<0.6.0,>=0.5.0->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (1.5.1)\n",
      "Requirement already satisfied: async-generator in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from nbclient<0.6.0,>=0.5.0->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (1.10)\n",
      "Requirement already satisfied: packaging in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (21.0)\n",
      "Requirement already satisfied: webencodings in /home/mydoctor/anaconda3/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.5.1)\n"
     ]
    }
   ],
   "source": [
    "!pip install pandas-profiling[notebook]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12c1fad2-d971-483f-a7b7-3329e2469f65",
   "metadata": {},
   "source": [
    "Hay muchas mas librerías para la visualización de datos (Autoviz, D-Tale, VAEX, ...)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6490756b-02a8-42f6-a32e-0f2f79e1b120",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8899616E</td>\n",
       "      <td>Adrián</td>\n",
       "      <td>Fernández</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>43238429 Q</td>\n",
       "      <td>José</td>\n",
       "      <td>Hernández</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>78747399</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Romero</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>91929848k</td>\n",
       "      <td>Raquel</td>\n",
       "      <td>Puebla</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24485203-R</td>\n",
       "      <td>Alberto</td>\n",
       "      <td>Gomis</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          NIF   Nombre  Apellido1\n",
       "0    8899616E   Adrián  Fernández\n",
       "1  43238429 Q     José  Hernández\n",
       "2    78747399    Julia     Romero\n",
       "3   91929848k   Raquel     Puebla\n",
       "4  24485203-R  Alberto      Gomis"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Selección de columnas determinadas y todas las filas\n",
    "seleccion = cliente.iloc [:,1:4]\n",
    "seleccion.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d4da9f3d-0da9-43fe-b171-0251f0c91c9f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido2</th>\n",
       "      <th>Apellido1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8899616E</td>\n",
       "      <td>Adrián</td>\n",
       "      <td>Rey</td>\n",
       "      <td>Fernández</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>43238429 Q</td>\n",
       "      <td>José</td>\n",
       "      <td>Domínguez</td>\n",
       "      <td>Hernández</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>78747399</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Tena</td>\n",
       "      <td>Romero</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>91929848k</td>\n",
       "      <td>Raquel</td>\n",
       "      <td>Álvarez</td>\n",
       "      <td>Puebla</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24485203-R</td>\n",
       "      <td>Alberto</td>\n",
       "      <td>Vázquez</td>\n",
       "      <td>Gomis</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          NIF   Nombre  Apellido2  Apellido1\n",
       "0    8899616E   Adrián        Rey  Fernández\n",
       "1  43238429 Q     José  Domínguez  Hernández\n",
       "2    78747399    Julia       Tena     Romero\n",
       "3   91929848k   Raquel    Álvarez     Puebla\n",
       "4  24485203-R  Alberto    Vázquez      Gomis"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Selección de columnas determinadas y todas las filas\n",
    "seleccion = cliente.iloc [:,[1,2,4,3]]\n",
    "seleccion.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "140ce720-2bde-4981-a600-f67d40252a2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8899616E</td>\n",
       "      <td>Adrián</td>\n",
       "      <td>Rey</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>43238429 Q</td>\n",
       "      <td>José</td>\n",
       "      <td>Domínguez</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>78747399</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Tena</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>91929848k</td>\n",
       "      <td>Raquel</td>\n",
       "      <td>Álvarez</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24485203-R</td>\n",
       "      <td>Alberto</td>\n",
       "      <td>Vázquez</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          NIF   Nombre  Apellido2\n",
       "0    8899616E   Adrián        Rey\n",
       "1  43238429 Q     José  Domínguez\n",
       "2    78747399    Julia       Tena\n",
       "3   91929848k   Raquel    Álvarez\n",
       "4  24485203-R  Alberto    Vázquez"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Selección de columnas determinadas y todas las filas\n",
    "seleccion = cliente [['NIF','Nombre','Apellido2']]\n",
    "seleccion.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "756273bd-63cc-42e3-a8b8-b0aabde867df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>43238429 Q</td>\n",
       "      <td>José</td>\n",
       "      <td>Domínguez</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>78747399</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Tena</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>91929848k</td>\n",
       "      <td>Raquel</td>\n",
       "      <td>Álvarez</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24485203-R</td>\n",
       "      <td>Alberto</td>\n",
       "      <td>Vázquez</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>39375059W</td>\n",
       "      <td>Antonia</td>\n",
       "      <td>Osuna</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>90807766-V</td>\n",
       "      <td>Juan</td>\n",
       "      <td>Millán</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>67303411y</td>\n",
       "      <td>Laura</td>\n",
       "      <td>Conde</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>09153621N</td>\n",
       "      <td>Ana María</td>\n",
       "      <td>Mejía</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>58807708-C</td>\n",
       "      <td>Inmaculada</td>\n",
       "      <td>Sánchez</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          NIF      Nombre  Apellido2\n",
       "1  43238429 Q        José  Domínguez\n",
       "2    78747399       Julia       Tena\n",
       "3   91929848k      Raquel    Álvarez\n",
       "4  24485203-R     Alberto    Vázquez\n",
       "5   39375059W     Antonia      Osuna\n",
       "6  90807766-V        Juan     Millán\n",
       "7   67303411y       Laura      Conde\n",
       "8   09153621N   Ana María      Mejía\n",
       "9  58807708-C  Inmaculada    Sánchez"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Selección de columnas y filas determinadas\n",
    "seleccion = cliente.iloc [1:10,[1,2,4]]\n",
    "seleccion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0897543d-9572-479c-be4e-33f561351740",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'30/10/1976'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Selección de la última posición del dataframe\n",
    "seleccion = cliente.iloc [-1,-1]\n",
    "seleccion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d4274b7b-51c8-44ac-a809-2a153a8d1b49",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Selección de columnas según criterio\n",
    "\n",
    "# La selección de columnas la realizamos mediante un array de True/False\n",
    "filtro = cliente.columns.str.startswith('C')\n",
    "seleccion = cliente.loc[:, filtro]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "9904b59e-8124-4cc1-b62e-5794c32f79aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([False, False, False, False, False, False, False, False, False,\n",
       "        True,  True, False, False,  True, False])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5c3085cd-0c3f-468a-8db4-f1b7f27c80b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CP</th>\n",
       "      <th>Comunidad</th>\n",
       "      <th>Correo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1440</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>afernandez@correo.es</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1271</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>josehernandez@mail.net</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1606</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>juliaromero51@mail.es</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1205</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>raquel.puebla@correo.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2552</td>\n",
       "      <td>Castilla La Mancha</td>\n",
       "      <td>agomis@mail.es</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>48266</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>margarcia@email.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>48660</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>rodriguez11@correo.es</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>50832</td>\n",
       "      <td>Aragón</td>\n",
       "      <td>carmencastelo@correo.net</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>50366</td>\n",
       "      <td>Aragón</td>\n",
       "      <td>maribenitez62@mail.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>50624</td>\n",
       "      <td>Aragón</td>\n",
       "      <td>guerrero50@email.es</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>200 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        CP           Comunidad                    Correo\n",
       "0     1440          País Vasco      afernandez@correo.es\n",
       "1     1271          País Vasco    josehernandez@mail.net\n",
       "2     1606          País Vasco     juliaromero51@mail.es\n",
       "3     1205          País Vasco  raquel.puebla@correo.com\n",
       "4     2552  Castilla La Mancha            agomis@mail.es\n",
       "..     ...                 ...                       ...\n",
       "195  48266          País Vasco       margarcia@email.com\n",
       "196  48660          País Vasco     rodriguez11@correo.es\n",
       "197  50832              Aragón  carmencastelo@correo.net\n",
       "198  50366              Aragón    maribenitez62@mail.com\n",
       "199  50624              Aragón       guerrero50@email.es\n",
       "\n",
       "[200 rows x 3 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seleccion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f20ef705-8795-481e-8bd7-d4693b1e9ff9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Selección de datos en función del sexo.\n",
    "# Devuelve un array de True/False con los registros\n",
    "# que cumplen la condición\n",
    "filtro = cliente['Sexo'] == \"H\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d9e8c46d-ed12-44f8-a0d7-454a5886afdb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       True\n",
       "1       True\n",
       "2      False\n",
       "3      False\n",
       "4       True\n",
       "       ...  \n",
       "195    False\n",
       "196    False\n",
       "197    False\n",
       "198    False\n",
       "199     True\n",
       "Name: Sexo, Length: 200, dtype: bool"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ba92597d-eb3f-45a7-996a-1a6e6f0a5ce9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True     118\n",
       "False     82\n",
       "Name: Sexo, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtro.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d0a5b909-1bfa-4a0c-bcee-24a72314d992",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idCliente</th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido1</th>\n",
       "      <th>Apellido2</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Direccion</th>\n",
       "      <th>Municipio</th>\n",
       "      <th>Provincia</th>\n",
       "      <th>CP</th>\n",
       "      <th>Comunidad</th>\n",
       "      <th>Movil</th>\n",
       "      <th>Telefono</th>\n",
       "      <th>Correo</th>\n",
       "      <th>Nacimiento</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>8899616E</td>\n",
       "      <td>Adrián</td>\n",
       "      <td>Fernández</td>\n",
       "      <td>Rey</td>\n",
       "      <td>H</td>\n",
       "      <td>Plaza  Septentrional Verde 149, 5</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1440</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>684 680 588</td>\n",
       "      <td>945 796 001</td>\n",
       "      <td>afernandez@correo.es</td>\n",
       "      <td>07/09/1974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>43238429 Q</td>\n",
       "      <td>José</td>\n",
       "      <td>Hernández</td>\n",
       "      <td>Domínguez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo de  Estratega Joven 57, 1º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1271</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>625265233,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>josehernandez@mail.net</td>\n",
       "      <td>20/09/1937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>24485203-R</td>\n",
       "      <td>Alberto</td>\n",
       "      <td>Gomis</td>\n",
       "      <td>Vázquez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo Hemograma 233, 6</td>\n",
       "      <td>Almansa</td>\n",
       "      <td>Albacete</td>\n",
       "      <td>2552</td>\n",
       "      <td>Castilla La Mancha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>agomis@mail.es</td>\n",
       "      <td>04/04/1956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>90807766-V</td>\n",
       "      <td>Juan</td>\n",
       "      <td>Rodríguez</td>\n",
       "      <td>Millán</td>\n",
       "      <td>H</td>\n",
       "      <td>Plaza  Preservación 246, 4º</td>\n",
       "      <td>Hellín</td>\n",
       "      <td>Albacete</td>\n",
       "      <td>2865</td>\n",
       "      <td>Castilla La Mancha</td>\n",
       "      <td>654999998,0</td>\n",
       "      <td>967609980,0</td>\n",
       "      <td>rodriguez87@correo.net</td>\n",
       "      <td>20/02/1988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>24940055M</td>\n",
       "      <td>Jesús</td>\n",
       "      <td>Márquez</td>\n",
       "      <td>Palacios</td>\n",
       "      <td>H</td>\n",
       "      <td>Plaza del Plancton 44, 5º 3ª</td>\n",
       "      <td>Santa Pola</td>\n",
       "      <td>Alicante</td>\n",
       "      <td>3777</td>\n",
       "      <td>Valencia</td>\n",
       "      <td>656012630,0</td>\n",
       "      <td>963296037,0</td>\n",
       "      <td>marquez35@correo.net</td>\n",
       "      <td>11/09/1973</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    idCliente         NIF   Nombre  Apellido1  Apellido2 Sexo  \\\n",
       "0           1    8899616E   Adrián  Fernández        Rey    H   \n",
       "1           2  43238429 Q     José  Hernández  Domínguez    H   \n",
       "4           5  24485203-R  Alberto      Gomis    Vázquez    H   \n",
       "6           7  90807766-V     Juan  Rodríguez     Millán    H   \n",
       "10         11   24940055M    Jesús    Márquez   Palacios    H   \n",
       "\n",
       "                            Direccion   Municipio Provincia    CP  \\\n",
       "0   Plaza  Septentrional Verde 149, 5     Vitoria     Álava  1440   \n",
       "1    Paseo de  Estratega Joven 57, 1º     Vitoria     Álava  1271   \n",
       "4              Paseo Hemograma 233, 6     Almansa  Albacete  2552   \n",
       "6         Plaza  Preservación 246, 4º      Hellín  Albacete  2865   \n",
       "10       Plaza del Plancton 44, 5º 3ª  Santa Pola  Alicante  3777   \n",
       "\n",
       "             Comunidad         Movil      Telefono                  Correo  \\\n",
       "0           País Vasco   684 680 588   945 796 001    afernandez@correo.es   \n",
       "1           País Vasco   625265233,0           NaN  josehernandez@mail.net   \n",
       "4   Castilla La Mancha           NaN           NaN          agomis@mail.es   \n",
       "6   Castilla La Mancha   654999998,0   967609980,0  rodriguez87@correo.net   \n",
       "10            Valencia   656012630,0   963296037,0    marquez35@correo.net   \n",
       "\n",
       "    Nacimiento  \n",
       "0   07/09/1974  \n",
       "1   20/09/1937  \n",
       "4   04/04/1956  \n",
       "6   20/02/1988  \n",
       "10  11/09/1973  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seleccion = cliente.loc [filtro,:]\n",
    "seleccion.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e226709-ae2c-43a5-98b6-0aa06bb0300f",
   "metadata": {},
   "source": [
    "Se supone que en selección ahora, no debería hacer registros con sexo M.  Lo comprobamos..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "aed3d688-6956-450e-820a-b2b4022ed333",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Series([], dtype: int64)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtro = seleccion ['Sexo'] == \"M\"\n",
    "seleccion.loc [filtro, :].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "641ad6cb-4e95-4d96-875d-07310b77b6b1",
   "metadata": {},
   "source": [
    "También podemos filtrar por \"algo\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d45d4eb3-5e19-445d-aa68-ae2d435320f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idCliente</th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido1</th>\n",
       "      <th>Apellido2</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Direccion</th>\n",
       "      <th>Municipio</th>\n",
       "      <th>Provincia</th>\n",
       "      <th>CP</th>\n",
       "      <th>Comunidad</th>\n",
       "      <th>Movil</th>\n",
       "      <th>Telefono</th>\n",
       "      <th>Correo</th>\n",
       "      <th>Nacimiento</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>8899616E</td>\n",
       "      <td>Adrián</td>\n",
       "      <td>Fernández</td>\n",
       "      <td>Rey</td>\n",
       "      <td>H</td>\n",
       "      <td>Plaza  Septentrional Verde 149, 5</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1440</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>684 680 588</td>\n",
       "      <td>945 796 001</td>\n",
       "      <td>afernandez@correo.es</td>\n",
       "      <td>07/09/1974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>43238429 Q</td>\n",
       "      <td>José</td>\n",
       "      <td>Hernández</td>\n",
       "      <td>Domínguez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo de  Estratega Joven 57, 1º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1271</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>625265233,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>josehernandez@mail.net</td>\n",
       "      <td>20/09/1937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>78747399</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Romero</td>\n",
       "      <td>Tena</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida Ocasión 83, 1º 5ª</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1606</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>671737062,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>juliaromero51@mail.es</td>\n",
       "      <td>28/02/1963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>91929848k</td>\n",
       "      <td>Raquel</td>\n",
       "      <td>Puebla</td>\n",
       "      <td>Álvarez</td>\n",
       "      <td>M</td>\n",
       "      <td>Calle Trapezoide Prolijo 84, 3º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1205</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>945562191,0</td>\n",
       "      <td>raquel.puebla@correo.com</td>\n",
       "      <td>23/07/1981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>24485203-R</td>\n",
       "      <td>Alberto</td>\n",
       "      <td>Gomis</td>\n",
       "      <td>Vázquez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo Hemograma 233, 6</td>\n",
       "      <td>Almansa</td>\n",
       "      <td>Albacete</td>\n",
       "      <td>2552</td>\n",
       "      <td>Castilla La Mancha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>agomis@mail.es</td>\n",
       "      <td>04/04/1956</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   idCliente         NIF   Nombre  Apellido1  Apellido2 Sexo  \\\n",
       "0          1    8899616E   Adrián  Fernández        Rey    H   \n",
       "1          2  43238429 Q     José  Hernández  Domínguez    H   \n",
       "2          3    78747399    Julia     Romero       Tena    M   \n",
       "3          4   91929848k   Raquel     Puebla    Álvarez    M   \n",
       "4          5  24485203-R  Alberto      Gomis    Vázquez    H   \n",
       "\n",
       "                           Direccion Municipio Provincia    CP  \\\n",
       "0  Plaza  Septentrional Verde 149, 5   Vitoria     Álava  1440   \n",
       "1   Paseo de  Estratega Joven 57, 1º   Vitoria     Álava  1271   \n",
       "2          Avenida Ocasión 83, 1º 5ª   Vitoria     Álava  1606   \n",
       "3    Calle Trapezoide Prolijo 84, 3º   Vitoria     Álava  1205   \n",
       "4             Paseo Hemograma 233, 6   Almansa  Albacete  2552   \n",
       "\n",
       "            Comunidad         Movil      Telefono                    Correo  \\\n",
       "0          País Vasco   684 680 588   945 796 001      afernandez@correo.es   \n",
       "1          País Vasco   625265233,0           NaN    josehernandez@mail.net   \n",
       "2          País Vasco   671737062,0           NaN     juliaromero51@mail.es   \n",
       "3          País Vasco           NaN   945562191,0  raquel.puebla@correo.com   \n",
       "4  Castilla La Mancha           NaN           NaN            agomis@mail.es   \n",
       "\n",
       "   Nacimiento  \n",
       "0  07/09/1974  \n",
       "1  20/09/1937  \n",
       "2  28/02/1963  \n",
       "3  23/07/1981  \n",
       "4  04/04/1956  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtro = cliente ['idCliente'] < 50\n",
    "# filtro = cliente.idCliente < 50\n",
    "seleccion = cliente.loc [filtro,:]\n",
    "seleccion.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5160bdf9-6108-44d7-a114-296177c975d5",
   "metadata": {},
   "source": [
    "Miramos los idCliente únicos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d441365e-0792-45f7-97ca-51e1a7c8536d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
       "        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,\n",
       "        27,  28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,\n",
       "        40,  41,  42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,\n",
       "        53,  54,  55,  56,  57,  58,  59,  60,  61,  62,  63,  64,  65,\n",
       "        66,  67,  68,  69,  70,  71,  72,  73,  74,  75,  76,  77,  78,\n",
       "        79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89,  90,  91,\n",
       "        92,  93,  94,  95,  96,  97,  98,  99, 100, 101, 102, 103, 104,\n",
       "       105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117,\n",
       "       118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130,\n",
       "       131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143,\n",
       "       144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156,\n",
       "       157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169,\n",
       "       170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182,\n",
       "       183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195,\n",
       "       196, 197, 198, 199, 200])"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cliente['idCliente'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "833c1737-f42c-4711-9ad9-8888f950519d",
   "metadata": {},
   "source": [
    "¿Se os ocurre una manera rápida de ver si en el array previo faltan clientes?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b60f5d1c-8a62-4f16-a169-251f6a7b1ad6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(seleccion['idCliente'].unique()) >= len(cliente['idCliente'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dcc826c2-9b6e-4917-84ab-c6fb48400a31",
   "metadata": {},
   "source": [
    "### Asignación de valores en función de otra/s columna/s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f2df94a1-87d8-4be2-bc74-320f02b02a35",
   "metadata": {},
   "outputs": [],
   "source": [
    "cliente['nuevacolumna'] = \"Mujer\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "27160242-745f-4bf6-977f-5866f0568393",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sexo</th>\n",
       "      <th>nuevacolumna</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>H</td>\n",
       "      <td>Hombre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>H</td>\n",
       "      <td>Hombre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>H</td>\n",
       "      <td>Hombre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>M</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>M</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>M</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>M</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>H</td>\n",
       "      <td>Hombre</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>200 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Sexo nuevacolumna\n",
       "0      H       Hombre\n",
       "1      H       Hombre\n",
       "2      M        Mujer\n",
       "3      M        Mujer\n",
       "4      H       Hombre\n",
       "..   ...          ...\n",
       "195    M        Mujer\n",
       "196    M        Mujer\n",
       "197    M        Mujer\n",
       "198    M        Mujer\n",
       "199    H       Hombre\n",
       "\n",
       "[200 rows x 2 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtro = cliente['Sexo'] == 'H'\n",
    "cliente.loc [filtro, 'nuevacolumna'] = 'Hombre'\n",
    "cliente [['Sexo','nuevacolumna']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf9f07b8-9be3-4957-800f-8ea87f468527",
   "metadata": {},
   "source": [
    "Dividimos el dataframe en 2 en función de un criterio.  En este caso vamos a dividirlo en base al sexo... (otro método)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "911bdf81-6183-4a0f-a8a9-58b51a5ab5b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H    118\n",
      "Name: Sexo, dtype: int64\n",
      "M    82\n",
      "Name: Sexo, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "hombres, mujeres = cliente [filtro], cliente [-filtro]\n",
    "print (hombres.Sexo.value_counts())\n",
    "print (mujeres.Sexo.value_counts())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b47e705-e221-42af-8d80-f0b739bf76ba",
   "metadata": {},
   "source": [
    "Lo complicamos un poco más, cogiendo una columna con más de 2 ocurrencias.  En este caso, dividimos los datos por Comunidad"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "0bd352cf-73e0-4b85-b060-12edde61eb8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "datosPorComunidad = {}\n",
    "\n",
    "for a in cliente['Comunidad'].unique():\n",
    "\n",
    "    datosPorComunidad[a] = cliente[cliente['Comunidad'] == a]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a29c020-d616-4329-886d-898761279c21",
   "metadata": {},
   "source": [
    "Ahora tenemos tantos diccionarios como comunidades tenemos en nuestros datos.  Para extraer cualquiera de dichos diccionarios..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "86930382-3160-4601-b5e4-cfd01a65ccdf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idCliente</th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido1</th>\n",
       "      <th>Apellido2</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Direccion</th>\n",
       "      <th>Municipio</th>\n",
       "      <th>Provincia</th>\n",
       "      <th>CP</th>\n",
       "      <th>Comunidad</th>\n",
       "      <th>Movil</th>\n",
       "      <th>Telefono</th>\n",
       "      <th>Correo</th>\n",
       "      <th>Nacimiento</th>\n",
       "      <th>nuevacolumna</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>8899616E</td>\n",
       "      <td>Adrián</td>\n",
       "      <td>Fernández</td>\n",
       "      <td>Rey</td>\n",
       "      <td>H</td>\n",
       "      <td>Plaza  Septentrional Verde 149, 5</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1440</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>684 680 588</td>\n",
       "      <td>945 796 001</td>\n",
       "      <td>afernandez@correo.es</td>\n",
       "      <td>07/09/1974</td>\n",
       "      <td>Hombre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>43238429 Q</td>\n",
       "      <td>José</td>\n",
       "      <td>Hernández</td>\n",
       "      <td>Domínguez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo de  Estratega Joven 57, 1º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1271</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>625265233,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>josehernandez@mail.net</td>\n",
       "      <td>20/09/1937</td>\n",
       "      <td>Hombre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>78747399</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Romero</td>\n",
       "      <td>Tena</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida Ocasión 83, 1º 5ª</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1606</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>671737062,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>juliaromero51@mail.es</td>\n",
       "      <td>28/02/1963</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>91929848k</td>\n",
       "      <td>Raquel</td>\n",
       "      <td>Puebla</td>\n",
       "      <td>Álvarez</td>\n",
       "      <td>M</td>\n",
       "      <td>Calle Trapezoide Prolijo 84, 3º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1205</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>945562191,0</td>\n",
       "      <td>raquel.puebla@correo.com</td>\n",
       "      <td>23/07/1981</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>194</td>\n",
       "      <td>12886287P</td>\n",
       "      <td>Marta</td>\n",
       "      <td>Ramis</td>\n",
       "      <td>Muñoz</td>\n",
       "      <td>M</td>\n",
       "      <td>Paseo de lo Abovedado Audaz 142, 1</td>\n",
       "      <td>Lejona</td>\n",
       "      <td>Vizcaya</td>\n",
       "      <td>48655</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>642495170,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>marramis62@email.net</td>\n",
       "      <td>06/10/1953</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     idCliente         NIF  Nombre  Apellido1  Apellido2 Sexo  \\\n",
       "0            1    8899616E  Adrián  Fernández        Rey    H   \n",
       "1            2  43238429 Q    José  Hernández  Domínguez    H   \n",
       "2            3    78747399   Julia     Romero       Tena    M   \n",
       "3            4   91929848k  Raquel     Puebla    Álvarez    M   \n",
       "193        194   12886287P   Marta      Ramis      Muñoz    M   \n",
       "\n",
       "                              Direccion Municipio Provincia     CP  \\\n",
       "0     Plaza  Septentrional Verde 149, 5   Vitoria     Álava   1440   \n",
       "1      Paseo de  Estratega Joven 57, 1º   Vitoria     Álava   1271   \n",
       "2             Avenida Ocasión 83, 1º 5ª   Vitoria     Álava   1606   \n",
       "3       Calle Trapezoide Prolijo 84, 3º   Vitoria     Álava   1205   \n",
       "193  Paseo de lo Abovedado Audaz 142, 1    Lejona   Vizcaya  48655   \n",
       "\n",
       "      Comunidad         Movil      Telefono                    Correo  \\\n",
       "0    País Vasco   684 680 588   945 796 001      afernandez@correo.es   \n",
       "1    País Vasco   625265233,0           NaN    josehernandez@mail.net   \n",
       "2    País Vasco   671737062,0           NaN     juliaromero51@mail.es   \n",
       "3    País Vasco           NaN   945562191,0  raquel.puebla@correo.com   \n",
       "193  País Vasco   642495170,0           NaN      marramis62@email.net   \n",
       "\n",
       "     Nacimiento nuevacolumna  \n",
       "0    07/09/1974       Hombre  \n",
       "1    20/09/1937       Hombre  \n",
       "2    28/02/1963        Mujer  \n",
       "3    23/07/1981        Mujer  \n",
       "193  06/10/1953        Mujer  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datosPorComunidad ['País Vasco'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "f1daf4dc-a4d0-421c-95ec-44d92da8dd36",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idCliente</th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido1</th>\n",
       "      <th>Apellido2</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Direccion</th>\n",
       "      <th>Municipio</th>\n",
       "      <th>Provincia</th>\n",
       "      <th>CP</th>\n",
       "      <th>Comunidad</th>\n",
       "      <th>Movil</th>\n",
       "      <th>Telefono</th>\n",
       "      <th>Correo</th>\n",
       "      <th>Nacimiento</th>\n",
       "      <th>nuevacolumna</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>24352512C</td>\n",
       "      <td>Alberto</td>\n",
       "      <td>Mendoza</td>\n",
       "      <td>Martin</td>\n",
       "      <td>H</td>\n",
       "      <td>Avenida la Concepción Marrón 174, 4º</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>8270</td>\n",
       "      <td>Cataluña</td>\n",
       "      <td>652 111 374</td>\n",
       "      <td>NaN</td>\n",
       "      <td>alb.mendoza@correo.com</td>\n",
       "      <td>04/12/1949</td>\n",
       "      <td>Hombre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>44166614J</td>\n",
       "      <td>Ana</td>\n",
       "      <td>Lillo</td>\n",
       "      <td>Pardo</td>\n",
       "      <td>M</td>\n",
       "      <td>Calle Verboides Gentil 180, 4</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>8665</td>\n",
       "      <td>Cataluña</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ana.lillo@mail.es</td>\n",
       "      <td>07/09/1960</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>31</td>\n",
       "      <td>16016967C</td>\n",
       "      <td>Ana Isabel</td>\n",
       "      <td>Garcés</td>\n",
       "      <td>Hernández</td>\n",
       "      <td>M</td>\n",
       "      <td>Calle Plancton Aurífero 125, 4</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>8466</td>\n",
       "      <td>Cataluña</td>\n",
       "      <td>NaN</td>\n",
       "      <td>934 982 785</td>\n",
       "      <td>angarces@correo.com</td>\n",
       "      <td>30/05/1988</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>32</td>\n",
       "      <td>84963229X</td>\n",
       "      <td>Ana Isabel</td>\n",
       "      <td>Salva</td>\n",
       "      <td>Ruiz</td>\n",
       "      <td>M</td>\n",
       "      <td>Paseo del Verbo Lento 16, 4º</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>8338</td>\n",
       "      <td>Cataluña</td>\n",
       "      <td>649 345 787</td>\n",
       "      <td>934 355 869</td>\n",
       "      <td>ansalva98@email.net</td>\n",
       "      <td>19/09/1989</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>33</td>\n",
       "      <td>01164391Q</td>\n",
       "      <td>Andrea</td>\n",
       "      <td>Solorzano</td>\n",
       "      <td>Abascal</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida de  Derivación 286, 4</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>8945</td>\n",
       "      <td>Cataluña</td>\n",
       "      <td>603 298 288</td>\n",
       "      <td>934 745 303</td>\n",
       "      <td>andreasolorzano71@mail.net</td>\n",
       "      <td>29/01/1977</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    idCliente        NIF      Nombre  Apellido1  Apellido2 Sexo  \\\n",
       "28         29  24352512C     Alberto    Mendoza     Martin    H   \n",
       "29         30  44166614J         Ana      Lillo      Pardo    M   \n",
       "30         31  16016967C  Ana Isabel     Garcés  Hernández    M   \n",
       "31         32  84963229X  Ana Isabel      Salva       Ruiz    M   \n",
       "32         33  01164391Q      Andrea  Solorzano    Abascal    M   \n",
       "\n",
       "                               Direccion  Municipio  Provincia    CP  \\\n",
       "28  Avenida la Concepción Marrón 174, 4º  Barcelona  Barcelona  8270   \n",
       "29         Calle Verboides Gentil 180, 4  Barcelona  Barcelona  8665   \n",
       "30        Calle Plancton Aurífero 125, 4  Barcelona  Barcelona  8466   \n",
       "31          Paseo del Verbo Lento 16, 4º  Barcelona  Barcelona  8338   \n",
       "32         Avenida de  Derivación 286, 4  Barcelona  Barcelona  8945   \n",
       "\n",
       "   Comunidad        Movil     Telefono                      Correo  \\\n",
       "28  Cataluña  652 111 374          NaN      alb.mendoza@correo.com   \n",
       "29  Cataluña          NaN          NaN           ana.lillo@mail.es   \n",
       "30  Cataluña          NaN  934 982 785         angarces@correo.com   \n",
       "31  Cataluña  649 345 787  934 355 869         ansalva98@email.net   \n",
       "32  Cataluña  603 298 288  934 745 303  andreasolorzano71@mail.net   \n",
       "\n",
       "    Nacimiento nuevacolumna  \n",
       "28  04/12/1949       Hombre  \n",
       "29  07/09/1960        Mujer  \n",
       "30  30/05/1988        Mujer  \n",
       "31  19/09/1989        Mujer  \n",
       "32  29/01/1977        Mujer  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datosPorComunidad ['Cataluña'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "cae261cb-1e46-47b3-ae61-bca3e91caeb7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Los datos segmentados están en formato diccionario\n",
    "type(datosPorComunidad)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "44e0c70a-5f23-442d-bea2-14bf46815a84",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Podemos convertir los datos a dataframe\n",
    "PaisVasco = pd.DataFrame(datosPorComunidad['País Vasco'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "34ad1946-46d3-4057-a6a8-79291248f9f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idCliente</th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido1</th>\n",
       "      <th>Apellido2</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Direccion</th>\n",
       "      <th>Municipio</th>\n",
       "      <th>Provincia</th>\n",
       "      <th>CP</th>\n",
       "      <th>Comunidad</th>\n",
       "      <th>Movil</th>\n",
       "      <th>Telefono</th>\n",
       "      <th>Correo</th>\n",
       "      <th>Nacimiento</th>\n",
       "      <th>nuevacolumna</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>8899616E</td>\n",
       "      <td>Adrián</td>\n",
       "      <td>Fernández</td>\n",
       "      <td>Rey</td>\n",
       "      <td>H</td>\n",
       "      <td>Plaza  Septentrional Verde 149, 5</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1440</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>684 680 588</td>\n",
       "      <td>945 796 001</td>\n",
       "      <td>afernandez@correo.es</td>\n",
       "      <td>07/09/1974</td>\n",
       "      <td>Hombre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>43238429 Q</td>\n",
       "      <td>José</td>\n",
       "      <td>Hernández</td>\n",
       "      <td>Domínguez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo de  Estratega Joven 57, 1º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1271</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>625265233,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>josehernandez@mail.net</td>\n",
       "      <td>20/09/1937</td>\n",
       "      <td>Hombre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>78747399</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Romero</td>\n",
       "      <td>Tena</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida Ocasión 83, 1º 5ª</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1606</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>671737062,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>juliaromero51@mail.es</td>\n",
       "      <td>28/02/1963</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>91929848k</td>\n",
       "      <td>Raquel</td>\n",
       "      <td>Puebla</td>\n",
       "      <td>Álvarez</td>\n",
       "      <td>M</td>\n",
       "      <td>Calle Trapezoide Prolijo 84, 3º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1205</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>945562191,0</td>\n",
       "      <td>raquel.puebla@correo.com</td>\n",
       "      <td>23/07/1981</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>194</td>\n",
       "      <td>12886287P</td>\n",
       "      <td>Marta</td>\n",
       "      <td>Ramis</td>\n",
       "      <td>Muñoz</td>\n",
       "      <td>M</td>\n",
       "      <td>Paseo de lo Abovedado Audaz 142, 1</td>\n",
       "      <td>Lejona</td>\n",
       "      <td>Vizcaya</td>\n",
       "      <td>48655</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>642495170,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>marramis62@email.net</td>\n",
       "      <td>06/10/1953</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     idCliente         NIF  Nombre  Apellido1  Apellido2 Sexo  \\\n",
       "0            1    8899616E  Adrián  Fernández        Rey    H   \n",
       "1            2  43238429 Q    José  Hernández  Domínguez    H   \n",
       "2            3    78747399   Julia     Romero       Tena    M   \n",
       "3            4   91929848k  Raquel     Puebla    Álvarez    M   \n",
       "193        194   12886287P   Marta      Ramis      Muñoz    M   \n",
       "\n",
       "                              Direccion Municipio Provincia     CP  \\\n",
       "0     Plaza  Septentrional Verde 149, 5   Vitoria     Álava   1440   \n",
       "1      Paseo de  Estratega Joven 57, 1º   Vitoria     Álava   1271   \n",
       "2             Avenida Ocasión 83, 1º 5ª   Vitoria     Álava   1606   \n",
       "3       Calle Trapezoide Prolijo 84, 3º   Vitoria     Álava   1205   \n",
       "193  Paseo de lo Abovedado Audaz 142, 1    Lejona   Vizcaya  48655   \n",
       "\n",
       "      Comunidad         Movil      Telefono                    Correo  \\\n",
       "0    País Vasco   684 680 588   945 796 001      afernandez@correo.es   \n",
       "1    País Vasco   625265233,0           NaN    josehernandez@mail.net   \n",
       "2    País Vasco   671737062,0           NaN     juliaromero51@mail.es   \n",
       "3    País Vasco           NaN   945562191,0  raquel.puebla@correo.com   \n",
       "193  País Vasco   642495170,0           NaN      marramis62@email.net   \n",
       "\n",
       "     Nacimiento nuevacolumna  \n",
       "0    07/09/1974       Hombre  \n",
       "1    20/09/1937       Hombre  \n",
       "2    28/02/1963        Mujer  \n",
       "3    23/07/1981        Mujer  \n",
       "193  06/10/1953        Mujer  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "PaisVasco.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb695eae-461a-4e79-a265-ec32c2db80ba",
   "metadata": {},
   "source": [
    "Otra manera de segmentar los datos, en este caso agruparemos los datos a través de una columna (y obtendremos un dataframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "306b42b3-65a1-4994-a4e8-513681de6110",
   "metadata": {},
   "outputs": [],
   "source": [
    "datosPorComunidad = cliente.groupby(cliente['Comunidad'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "6d3f9830-b08a-40c2-95bf-9bc09e6f7716",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idCliente</th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido1</th>\n",
       "      <th>Apellido2</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Direccion</th>\n",
       "      <th>Municipio</th>\n",
       "      <th>Provincia</th>\n",
       "      <th>CP</th>\n",
       "      <th>Comunidad</th>\n",
       "      <th>Movil</th>\n",
       "      <th>Telefono</th>\n",
       "      <th>Correo</th>\n",
       "      <th>Nacimiento</th>\n",
       "      <th>nuevacolumna</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>8899616E</td>\n",
       "      <td>Adrián</td>\n",
       "      <td>Fernández</td>\n",
       "      <td>Rey</td>\n",
       "      <td>H</td>\n",
       "      <td>Plaza  Septentrional Verde 149, 5</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1440</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>684 680 588</td>\n",
       "      <td>945 796 001</td>\n",
       "      <td>afernandez@correo.es</td>\n",
       "      <td>07/09/1974</td>\n",
       "      <td>Hombre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>43238429 Q</td>\n",
       "      <td>José</td>\n",
       "      <td>Hernández</td>\n",
       "      <td>Domínguez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo de  Estratega Joven 57, 1º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1271</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>625265233,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>josehernandez@mail.net</td>\n",
       "      <td>20/09/1937</td>\n",
       "      <td>Hombre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>78747399</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Romero</td>\n",
       "      <td>Tena</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida Ocasión 83, 1º 5ª</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1606</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>671737062,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>juliaromero51@mail.es</td>\n",
       "      <td>28/02/1963</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>91929848k</td>\n",
       "      <td>Raquel</td>\n",
       "      <td>Puebla</td>\n",
       "      <td>Álvarez</td>\n",
       "      <td>M</td>\n",
       "      <td>Calle Trapezoide Prolijo 84, 3º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1205</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>945562191,0</td>\n",
       "      <td>raquel.puebla@correo.com</td>\n",
       "      <td>23/07/1981</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>194</td>\n",
       "      <td>12886287P</td>\n",
       "      <td>Marta</td>\n",
       "      <td>Ramis</td>\n",
       "      <td>Muñoz</td>\n",
       "      <td>M</td>\n",
       "      <td>Paseo de lo Abovedado Audaz 142, 1</td>\n",
       "      <td>Lejona</td>\n",
       "      <td>Vizcaya</td>\n",
       "      <td>48655</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>642495170,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>marramis62@email.net</td>\n",
       "      <td>06/10/1953</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>195</td>\n",
       "      <td>48712440G</td>\n",
       "      <td>María José</td>\n",
       "      <td>Martínez</td>\n",
       "      <td>Serra</td>\n",
       "      <td>M</td>\n",
       "      <td>Calle de  Reconocimiento Deportivo 135, 6º</td>\n",
       "      <td>Bilbao</td>\n",
       "      <td>Vizcaya</td>\n",
       "      <td>48133</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>690747457,0</td>\n",
       "      <td>943785677,0</td>\n",
       "      <td>martinez44@mail.es</td>\n",
       "      <td>28/12/1972</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>196</td>\n",
       "      <td>88501155F</td>\n",
       "      <td>María Rosario</td>\n",
       "      <td>García</td>\n",
       "      <td>Ribera</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida Flagelo 80, 1º 6ª</td>\n",
       "      <td>Bilbao</td>\n",
       "      <td>Vizcaya</td>\n",
       "      <td>48266</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>608292972,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>margarcia@email.com</td>\n",
       "      <td>22/08/1948</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>197</td>\n",
       "      <td>44525818A</td>\n",
       "      <td>Purificación</td>\n",
       "      <td>Rodríguez</td>\n",
       "      <td>Torres</td>\n",
       "      <td>M</td>\n",
       "      <td>Plaza Verbo 258, 2º 4ª</td>\n",
       "      <td>Bilbao</td>\n",
       "      <td>Vizcaya</td>\n",
       "      <td>48660</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rodriguez11@correo.es</td>\n",
       "      <td>01/05/1945</td>\n",
       "      <td>Mujer</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     idCliente         NIF         Nombre  Apellido1  Apellido2 Sexo  \\\n",
       "0            1    8899616E         Adrián  Fernández        Rey    H   \n",
       "1            2  43238429 Q           José  Hernández  Domínguez    H   \n",
       "2            3    78747399          Julia     Romero       Tena    M   \n",
       "3            4   91929848k         Raquel     Puebla    Álvarez    M   \n",
       "193        194   12886287P          Marta      Ramis      Muñoz    M   \n",
       "194        195   48712440G     María José   Martínez      Serra    M   \n",
       "195        196   88501155F  María Rosario     García     Ribera    M   \n",
       "196        197   44525818A   Purificación  Rodríguez     Torres    M   \n",
       "\n",
       "                                      Direccion Municipio Provincia     CP  \\\n",
       "0             Plaza  Septentrional Verde 149, 5   Vitoria     Álava   1440   \n",
       "1              Paseo de  Estratega Joven 57, 1º   Vitoria     Álava   1271   \n",
       "2                     Avenida Ocasión 83, 1º 5ª   Vitoria     Álava   1606   \n",
       "3               Calle Trapezoide Prolijo 84, 3º   Vitoria     Álava   1205   \n",
       "193          Paseo de lo Abovedado Audaz 142, 1    Lejona   Vizcaya  48655   \n",
       "194  Calle de  Reconocimiento Deportivo 135, 6º    Bilbao   Vizcaya  48133   \n",
       "195                   Avenida Flagelo 80, 1º 6ª    Bilbao   Vizcaya  48266   \n",
       "196                      Plaza Verbo 258, 2º 4ª    Bilbao   Vizcaya  48660   \n",
       "\n",
       "      Comunidad         Movil      Telefono                    Correo  \\\n",
       "0    País Vasco   684 680 588   945 796 001      afernandez@correo.es   \n",
       "1    País Vasco   625265233,0           NaN    josehernandez@mail.net   \n",
       "2    País Vasco   671737062,0           NaN     juliaromero51@mail.es   \n",
       "3    País Vasco           NaN   945562191,0  raquel.puebla@correo.com   \n",
       "193  País Vasco   642495170,0           NaN      marramis62@email.net   \n",
       "194  País Vasco   690747457,0   943785677,0        martinez44@mail.es   \n",
       "195  País Vasco   608292972,0           NaN       margarcia@email.com   \n",
       "196  País Vasco           NaN           NaN     rodriguez11@correo.es   \n",
       "\n",
       "     Nacimiento nuevacolumna  \n",
       "0    07/09/1974       Hombre  \n",
       "1    20/09/1937       Hombre  \n",
       "2    28/02/1963        Mujer  \n",
       "3    23/07/1981        Mujer  \n",
       "193  06/10/1953        Mujer  \n",
       "194  28/12/1972        Mujer  \n",
       "195  22/08/1948        Mujer  \n",
       "196  01/05/1945        Mujer  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datosPorComunidad.get_group(\"País Vasco\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "bb815a96-2e13-4e37-bb90-3a144350a536",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.groupby.generic.DataFrameGroupBy"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Los datos segmentados están en formato dataframe\n",
    "type(datosPorComunidad)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2fa0f76f-2907-48dd-9b24-30ccb63bb720",
   "metadata": {},
   "source": [
    "Ahora que tenemos los datos segmentados, podríamos guardar las tablas de manera independiente."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "6e859535-416c-47be-a71a-5bd3acd5b6c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['País Vasco', 'Castilla La Mancha', 'Valencia', 'Andalucía',\n",
       "       'Castilla y León', 'Extremadura', 'Baleares', 'Cataluña',\n",
       "       'Galicia', 'Madrid', 'Murcia', 'Asturias', 'Canarias', 'Cantabria',\n",
       "       'Aragón'], dtype=object)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comunidades = cliente.Comunidad.unique()\n",
    "comunidades"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "f30c10ca-7a3f-495e-af00-98d672a239c4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "En la comunidad  País Vasco  el total de mujeres es  2  y el de hombres es  6\n",
      "En la comunidad  Castilla La Mancha  el total de mujeres es  2  y el de hombres es  3\n",
      "En la comunidad  Valencia  el total de mujeres es  9  y el de hombres es  15\n",
      "En la comunidad  Andalucía  el total de mujeres es  14  y el de hombres es  35\n",
      "En la comunidad  Castilla y León  el total de mujeres es  4  y el de hombres es  4\n",
      "En la comunidad  Baleares  el total de mujeres es  3  y el de hombres es  3\n",
      "En la comunidad  Cataluña  el total de mujeres es  14  y el de hombres es  22\n",
      "En la comunidad  Galicia  el total de mujeres es  6  y el de hombres es  6\n",
      "En la comunidad  Madrid  el total de mujeres es  13  y el de hombres es  18\n",
      "En la comunidad  Murcia  el total de mujeres es  3  y el de hombres es  3\n",
      "En la comunidad  Canarias  el total de mujeres es  3  y el de hombres es  4\n",
      "En la comunidad  Cantabria  el total de mujeres es  1  y el de hombres es  1\n",
      "En la comunidad  Aragón  el total de mujeres es  1  y el de hombres es  2\n"
     ]
    }
   ],
   "source": [
    "for a in comunidades:\n",
    "    try:\n",
    "        tmp = datosPorComunidad.get_group(a)\n",
    "        mujeres = tmp['Sexo'].value_counts()[1]\n",
    "        hombres = tmp['Sexo'].value_counts()[0]\n",
    "        print (\"En la comunidad \", a, \" el total de mujeres es \", mujeres, \" y el de hombres es \", hombres)\n",
    "        nombre = './data/' + 'datos '+ a + '.csv'\n",
    "        tmp.to_csv(nombre, index=False)\n",
    "    except:\n",
    "        continue"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "107c2e0f-2186-4497-bb33-d5fc35010b09",
   "metadata": {},
   "source": [
    "## Transformaciones por columnas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "2c9b4799-ff26-49e7-80b7-f838ceb79589",
   "metadata": {},
   "outputs": [],
   "source": [
    "cliente = pd.read_csv('./data/dimension_cliente.csv', sep='\\t', encoding='UTF-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "bab2cdab-4781-465d-96f1-7e08a2f8355e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idCliente</th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido1</th>\n",
       "      <th>Apellido2</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Direccion</th>\n",
       "      <th>Municipio</th>\n",
       "      <th>Provincia</th>\n",
       "      <th>CP</th>\n",
       "      <th>Comunidad</th>\n",
       "      <th>Movil</th>\n",
       "      <th>Telefono</th>\n",
       "      <th>Correo</th>\n",
       "      <th>Nacimiento</th>\n",
       "      <th>Apellidos</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>8899616E</td>\n",
       "      <td>Adrián</td>\n",
       "      <td>Fernández</td>\n",
       "      <td>Rey</td>\n",
       "      <td>H</td>\n",
       "      <td>Plaza  Septentrional Verde 149, 5</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1440</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>684 680 588</td>\n",
       "      <td>945 796 001</td>\n",
       "      <td>afernandez@correo.es</td>\n",
       "      <td>07/09/1974</td>\n",
       "      <td>Fernández, Rey</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>43238429 Q</td>\n",
       "      <td>José</td>\n",
       "      <td>Hernández</td>\n",
       "      <td>Domínguez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo de  Estratega Joven 57, 1º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1271</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>625265233,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>josehernandez@mail.net</td>\n",
       "      <td>20/09/1937</td>\n",
       "      <td>Hernández, Domínguez</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>78747399</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Romero</td>\n",
       "      <td>Tena</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida Ocasión 83, 1º 5ª</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1606</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>671737062,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>juliaromero51@mail.es</td>\n",
       "      <td>28/02/1963</td>\n",
       "      <td>Romero, Tena</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>91929848k</td>\n",
       "      <td>Raquel</td>\n",
       "      <td>Puebla</td>\n",
       "      <td>Álvarez</td>\n",
       "      <td>M</td>\n",
       "      <td>Calle Trapezoide Prolijo 84, 3º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1205</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>945562191,0</td>\n",
       "      <td>raquel.puebla@correo.com</td>\n",
       "      <td>23/07/1981</td>\n",
       "      <td>Puebla, Álvarez</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>24485203-R</td>\n",
       "      <td>Alberto</td>\n",
       "      <td>Gomis</td>\n",
       "      <td>Vázquez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo Hemograma 233, 6</td>\n",
       "      <td>Almansa</td>\n",
       "      <td>Albacete</td>\n",
       "      <td>2552</td>\n",
       "      <td>Castilla La Mancha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>agomis@mail.es</td>\n",
       "      <td>04/04/1956</td>\n",
       "      <td>Gomis, Vázquez</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   idCliente         NIF   Nombre  Apellido1  Apellido2 Sexo  \\\n",
       "0          1    8899616E   Adrián  Fernández        Rey    H   \n",
       "1          2  43238429 Q     José  Hernández  Domínguez    H   \n",
       "2          3    78747399    Julia     Romero       Tena    M   \n",
       "3          4   91929848k   Raquel     Puebla    Álvarez    M   \n",
       "4          5  24485203-R  Alberto      Gomis    Vázquez    H   \n",
       "\n",
       "                           Direccion Municipio Provincia    CP  \\\n",
       "0  Plaza  Septentrional Verde 149, 5   Vitoria     Álava  1440   \n",
       "1   Paseo de  Estratega Joven 57, 1º   Vitoria     Álava  1271   \n",
       "2          Avenida Ocasión 83, 1º 5ª   Vitoria     Álava  1606   \n",
       "3    Calle Trapezoide Prolijo 84, 3º   Vitoria     Álava  1205   \n",
       "4             Paseo Hemograma 233, 6   Almansa  Albacete  2552   \n",
       "\n",
       "            Comunidad         Movil      Telefono                    Correo  \\\n",
       "0          País Vasco   684 680 588   945 796 001      afernandez@correo.es   \n",
       "1          País Vasco   625265233,0           NaN    josehernandez@mail.net   \n",
       "2          País Vasco   671737062,0           NaN     juliaromero51@mail.es   \n",
       "3          País Vasco           NaN   945562191,0  raquel.puebla@correo.com   \n",
       "4  Castilla La Mancha           NaN           NaN            agomis@mail.es   \n",
       "\n",
       "   Nacimiento             Apellidos  \n",
       "0  07/09/1974        Fernández, Rey  \n",
       "1  20/09/1937  Hernández, Domínguez  \n",
       "2  28/02/1963          Romero, Tena  \n",
       "3  23/07/1981       Puebla, Álvarez  \n",
       "4  04/04/1956        Gomis, Vázquez  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Unimos columnas\n",
    "cliente['Apellidos'] = cliente['Apellido1'] + \", \" + cliente ['Apellido2']\n",
    "cliente.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "0552a1af-34a6-4e79-84e0-9301708c7a6f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['idCliente',\n",
       " 'NIF',\n",
       " 'Nombre',\n",
       " 'Apellido1',\n",
       " 'Apellido2',\n",
       " 'Apellidos',\n",
       " 'Sexo',\n",
       " 'Direccion',\n",
       " 'Municipio',\n",
       " 'Provincia',\n",
       " 'CP',\n",
       " 'Comunidad',\n",
       " 'Movil',\n",
       " 'Telefono',\n",
       " 'Correo',\n",
       " 'Nacimiento']"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reordenamos las columnas (colocamos Apellidos junto a Apellido1 y Apellido2)\n",
    "columnas = list(cliente.columns)\n",
    "orden = columnas [0:5] + [columnas [-1]] + columnas [5:-1] # Ojo, el segundo elemento de la lista es un str por eso lo convierto en lista antes de añadirlo a orden\n",
    "orden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "56136f1d-055f-4487-b132-bfed192fb881",
   "metadata": {},
   "outputs": [],
   "source": [
    "cliente = cliente.reindex(columns = orden)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "941e1df4-b3b3-456a-abc1-1bf7a592802c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idCliente</th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido1</th>\n",
       "      <th>Apellido2</th>\n",
       "      <th>Apellidos</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Direccion</th>\n",
       "      <th>Municipio</th>\n",
       "      <th>Provincia</th>\n",
       "      <th>CP</th>\n",
       "      <th>Comunidad</th>\n",
       "      <th>Movil</th>\n",
       "      <th>Telefono</th>\n",
       "      <th>Correo</th>\n",
       "      <th>Nacimiento</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>8899616E</td>\n",
       "      <td>Adrián</td>\n",
       "      <td>Fernández</td>\n",
       "      <td>Rey</td>\n",
       "      <td>Fernández, Rey</td>\n",
       "      <td>H</td>\n",
       "      <td>Plaza  Septentrional Verde 149, 5</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1440</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>684 680 588</td>\n",
       "      <td>945 796 001</td>\n",
       "      <td>afernandez@correo.es</td>\n",
       "      <td>07/09/1974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>43238429 Q</td>\n",
       "      <td>José</td>\n",
       "      <td>Hernández</td>\n",
       "      <td>Domínguez</td>\n",
       "      <td>Hernández, Domínguez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo de  Estratega Joven 57, 1º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1271</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>625265233,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>josehernandez@mail.net</td>\n",
       "      <td>20/09/1937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>78747399</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Romero</td>\n",
       "      <td>Tena</td>\n",
       "      <td>Romero, Tena</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida Ocasión 83, 1º 5ª</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1606</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>671737062,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>juliaromero51@mail.es</td>\n",
       "      <td>28/02/1963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>91929848k</td>\n",
       "      <td>Raquel</td>\n",
       "      <td>Puebla</td>\n",
       "      <td>Álvarez</td>\n",
       "      <td>Puebla, Álvarez</td>\n",
       "      <td>M</td>\n",
       "      <td>Calle Trapezoide Prolijo 84, 3º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1205</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>945562191,0</td>\n",
       "      <td>raquel.puebla@correo.com</td>\n",
       "      <td>23/07/1981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>24485203-R</td>\n",
       "      <td>Alberto</td>\n",
       "      <td>Gomis</td>\n",
       "      <td>Vázquez</td>\n",
       "      <td>Gomis, Vázquez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo Hemograma 233, 6</td>\n",
       "      <td>Almansa</td>\n",
       "      <td>Albacete</td>\n",
       "      <td>2552</td>\n",
       "      <td>Castilla La Mancha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>agomis@mail.es</td>\n",
       "      <td>04/04/1956</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   idCliente         NIF   Nombre  Apellido1  Apellido2             Apellidos  \\\n",
       "0          1    8899616E   Adrián  Fernández        Rey        Fernández, Rey   \n",
       "1          2  43238429 Q     José  Hernández  Domínguez  Hernández, Domínguez   \n",
       "2          3    78747399    Julia     Romero       Tena          Romero, Tena   \n",
       "3          4   91929848k   Raquel     Puebla    Álvarez       Puebla, Álvarez   \n",
       "4          5  24485203-R  Alberto      Gomis    Vázquez        Gomis, Vázquez   \n",
       "\n",
       "  Sexo                          Direccion Municipio Provincia    CP  \\\n",
       "0    H  Plaza  Septentrional Verde 149, 5   Vitoria     Álava  1440   \n",
       "1    H   Paseo de  Estratega Joven 57, 1º   Vitoria     Álava  1271   \n",
       "2    M          Avenida Ocasión 83, 1º 5ª   Vitoria     Álava  1606   \n",
       "3    M    Calle Trapezoide Prolijo 84, 3º   Vitoria     Álava  1205   \n",
       "4    H             Paseo Hemograma 233, 6   Almansa  Albacete  2552   \n",
       "\n",
       "            Comunidad         Movil      Telefono                    Correo  \\\n",
       "0          País Vasco   684 680 588   945 796 001      afernandez@correo.es   \n",
       "1          País Vasco   625265233,0           NaN    josehernandez@mail.net   \n",
       "2          País Vasco   671737062,0           NaN     juliaromero51@mail.es   \n",
       "3          País Vasco           NaN   945562191,0  raquel.puebla@correo.com   \n",
       "4  Castilla La Mancha           NaN           NaN            agomis@mail.es   \n",
       "\n",
       "   Nacimiento  \n",
       "0  07/09/1974  \n",
       "1  20/09/1937  \n",
       "2  28/02/1963  \n",
       "3  23/07/1981  \n",
       "4  04/04/1956  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cliente.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "2f593232-c35a-4a45-a0ca-60129c036bff",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dividimos el campo mail a través de la arroba\n",
    "cliente['Nick'] = cliente ['Correo'].str.split('@', expand=True)[0]\n",
    "cliente['Dominio'] = cliente ['Correo'].str.split('@', expand=True)[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "5954a60e-54e2-4048-9e58-c5e4c1b46e67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idCliente</th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido1</th>\n",
       "      <th>Apellido2</th>\n",
       "      <th>Apellidos</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Direccion</th>\n",
       "      <th>Municipio</th>\n",
       "      <th>Provincia</th>\n",
       "      <th>CP</th>\n",
       "      <th>Comunidad</th>\n",
       "      <th>Movil</th>\n",
       "      <th>Telefono</th>\n",
       "      <th>Correo</th>\n",
       "      <th>Nacimiento</th>\n",
       "      <th>Nick</th>\n",
       "      <th>Dominio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>8899616E</td>\n",
       "      <td>Adrián</td>\n",
       "      <td>Fernández</td>\n",
       "      <td>Rey</td>\n",
       "      <td>Fernández, Rey</td>\n",
       "      <td>H</td>\n",
       "      <td>Plaza  Septentrional Verde 149, 5</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1440</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>684 680 588</td>\n",
       "      <td>945 796 001</td>\n",
       "      <td>afernandez@correo.es</td>\n",
       "      <td>07/09/1974</td>\n",
       "      <td>afernandez</td>\n",
       "      <td>correo.es</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>43238429 Q</td>\n",
       "      <td>José</td>\n",
       "      <td>Hernández</td>\n",
       "      <td>Domínguez</td>\n",
       "      <td>Hernández, Domínguez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo de  Estratega Joven 57, 1º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1271</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>625265233,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>josehernandez@mail.net</td>\n",
       "      <td>20/09/1937</td>\n",
       "      <td>josehernandez</td>\n",
       "      <td>mail.net</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>78747399</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Romero</td>\n",
       "      <td>Tena</td>\n",
       "      <td>Romero, Tena</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida Ocasión 83, 1º 5ª</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1606</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>671737062,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>juliaromero51@mail.es</td>\n",
       "      <td>28/02/1963</td>\n",
       "      <td>juliaromero51</td>\n",
       "      <td>mail.es</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>91929848k</td>\n",
       "      <td>Raquel</td>\n",
       "      <td>Puebla</td>\n",
       "      <td>Álvarez</td>\n",
       "      <td>Puebla, Álvarez</td>\n",
       "      <td>M</td>\n",
       "      <td>Calle Trapezoide Prolijo 84, 3º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1205</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>945562191,0</td>\n",
       "      <td>raquel.puebla@correo.com</td>\n",
       "      <td>23/07/1981</td>\n",
       "      <td>raquel.puebla</td>\n",
       "      <td>correo.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>24485203-R</td>\n",
       "      <td>Alberto</td>\n",
       "      <td>Gomis</td>\n",
       "      <td>Vázquez</td>\n",
       "      <td>Gomis, Vázquez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo Hemograma 233, 6</td>\n",
       "      <td>Almansa</td>\n",
       "      <td>Albacete</td>\n",
       "      <td>2552</td>\n",
       "      <td>Castilla La Mancha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>agomis@mail.es</td>\n",
       "      <td>04/04/1956</td>\n",
       "      <td>agomis</td>\n",
       "      <td>mail.es</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   idCliente         NIF   Nombre  Apellido1  Apellido2             Apellidos  \\\n",
       "0          1    8899616E   Adrián  Fernández        Rey        Fernández, Rey   \n",
       "1          2  43238429 Q     José  Hernández  Domínguez  Hernández, Domínguez   \n",
       "2          3    78747399    Julia     Romero       Tena          Romero, Tena   \n",
       "3          4   91929848k   Raquel     Puebla    Álvarez       Puebla, Álvarez   \n",
       "4          5  24485203-R  Alberto      Gomis    Vázquez        Gomis, Vázquez   \n",
       "\n",
       "  Sexo                          Direccion Municipio Provincia    CP  \\\n",
       "0    H  Plaza  Septentrional Verde 149, 5   Vitoria     Álava  1440   \n",
       "1    H   Paseo de  Estratega Joven 57, 1º   Vitoria     Álava  1271   \n",
       "2    M          Avenida Ocasión 83, 1º 5ª   Vitoria     Álava  1606   \n",
       "3    M    Calle Trapezoide Prolijo 84, 3º   Vitoria     Álava  1205   \n",
       "4    H             Paseo Hemograma 233, 6   Almansa  Albacete  2552   \n",
       "\n",
       "            Comunidad         Movil      Telefono                    Correo  \\\n",
       "0          País Vasco   684 680 588   945 796 001      afernandez@correo.es   \n",
       "1          País Vasco   625265233,0           NaN    josehernandez@mail.net   \n",
       "2          País Vasco   671737062,0           NaN     juliaromero51@mail.es   \n",
       "3          País Vasco           NaN   945562191,0  raquel.puebla@correo.com   \n",
       "4  Castilla La Mancha           NaN           NaN            agomis@mail.es   \n",
       "\n",
       "   Nacimiento           Nick     Dominio  \n",
       "0  07/09/1974     afernandez   correo.es  \n",
       "1  20/09/1937  josehernandez    mail.net  \n",
       "2  28/02/1963  juliaromero51     mail.es  \n",
       "3  23/07/1981  raquel.puebla  correo.com  \n",
       "4  04/04/1956         agomis     mail.es  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cliente.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "c99e731d-11a9-4bd8-8be3-47947910e5f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Vuelvo a reordenar columnas...\n",
    "columnas = list(cliente.columns)\n",
    "orden = columnas [0:6] + columnas [-2:] + columnas [6:-2]\n",
    "cliente = cliente.reindex(columns = orden)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "18e07dde-83fa-4123-b283-3bc5f5bd61e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idCliente</th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido1</th>\n",
       "      <th>Apellido2</th>\n",
       "      <th>Apellidos</th>\n",
       "      <th>Nick</th>\n",
       "      <th>Dominio</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Direccion</th>\n",
       "      <th>Municipio</th>\n",
       "      <th>Provincia</th>\n",
       "      <th>CP</th>\n",
       "      <th>Comunidad</th>\n",
       "      <th>Movil</th>\n",
       "      <th>Telefono</th>\n",
       "      <th>Correo</th>\n",
       "      <th>Nacimiento</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>8899616E</td>\n",
       "      <td>Adrián</td>\n",
       "      <td>Fernández</td>\n",
       "      <td>Rey</td>\n",
       "      <td>Fernández, Rey</td>\n",
       "      <td>afernandez</td>\n",
       "      <td>correo.es</td>\n",
       "      <td>H</td>\n",
       "      <td>Plaza  Septentrional Verde 149, 5</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1440</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>684 680 588</td>\n",
       "      <td>945 796 001</td>\n",
       "      <td>afernandez@correo.es</td>\n",
       "      <td>07/09/1974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>43238429 Q</td>\n",
       "      <td>José</td>\n",
       "      <td>Hernández</td>\n",
       "      <td>Domínguez</td>\n",
       "      <td>Hernández, Domínguez</td>\n",
       "      <td>josehernandez</td>\n",
       "      <td>mail.net</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo de  Estratega Joven 57, 1º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1271</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>625265233,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>josehernandez@mail.net</td>\n",
       "      <td>20/09/1937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>78747399</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Romero</td>\n",
       "      <td>Tena</td>\n",
       "      <td>Romero, Tena</td>\n",
       "      <td>juliaromero51</td>\n",
       "      <td>mail.es</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida Ocasión 83, 1º 5ª</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1606</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>671737062,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>juliaromero51@mail.es</td>\n",
       "      <td>28/02/1963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>91929848k</td>\n",
       "      <td>Raquel</td>\n",
       "      <td>Puebla</td>\n",
       "      <td>Álvarez</td>\n",
       "      <td>Puebla, Álvarez</td>\n",
       "      <td>raquel.puebla</td>\n",
       "      <td>correo.com</td>\n",
       "      <td>M</td>\n",
       "      <td>Calle Trapezoide Prolijo 84, 3º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1205</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>945562191,0</td>\n",
       "      <td>raquel.puebla@correo.com</td>\n",
       "      <td>23/07/1981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>24485203-R</td>\n",
       "      <td>Alberto</td>\n",
       "      <td>Gomis</td>\n",
       "      <td>Vázquez</td>\n",
       "      <td>Gomis, Vázquez</td>\n",
       "      <td>agomis</td>\n",
       "      <td>mail.es</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo Hemograma 233, 6</td>\n",
       "      <td>Almansa</td>\n",
       "      <td>Albacete</td>\n",
       "      <td>2552</td>\n",
       "      <td>Castilla La Mancha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>agomis@mail.es</td>\n",
       "      <td>04/04/1956</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   idCliente         NIF   Nombre  Apellido1  Apellido2             Apellidos  \\\n",
       "0          1    8899616E   Adrián  Fernández        Rey        Fernández, Rey   \n",
       "1          2  43238429 Q     José  Hernández  Domínguez  Hernández, Domínguez   \n",
       "2          3    78747399    Julia     Romero       Tena          Romero, Tena   \n",
       "3          4   91929848k   Raquel     Puebla    Álvarez       Puebla, Álvarez   \n",
       "4          5  24485203-R  Alberto      Gomis    Vázquez        Gomis, Vázquez   \n",
       "\n",
       "            Nick     Dominio Sexo                          Direccion  \\\n",
       "0     afernandez   correo.es    H  Plaza  Septentrional Verde 149, 5   \n",
       "1  josehernandez    mail.net    H   Paseo de  Estratega Joven 57, 1º   \n",
       "2  juliaromero51     mail.es    M          Avenida Ocasión 83, 1º 5ª   \n",
       "3  raquel.puebla  correo.com    M    Calle Trapezoide Prolijo 84, 3º   \n",
       "4         agomis     mail.es    H             Paseo Hemograma 233, 6   \n",
       "\n",
       "  Municipio Provincia    CP           Comunidad         Movil      Telefono  \\\n",
       "0   Vitoria     Álava  1440          País Vasco   684 680 588   945 796 001   \n",
       "1   Vitoria     Álava  1271          País Vasco   625265233,0           NaN   \n",
       "2   Vitoria     Álava  1606          País Vasco   671737062,0           NaN   \n",
       "3   Vitoria     Álava  1205          País Vasco           NaN   945562191,0   \n",
       "4   Almansa  Albacete  2552  Castilla La Mancha           NaN           NaN   \n",
       "\n",
       "                     Correo  Nacimiento  \n",
       "0      afernandez@correo.es  07/09/1974  \n",
       "1    josehernandez@mail.net  20/09/1937  \n",
       "2     juliaromero51@mail.es  28/02/1963  \n",
       "3  raquel.puebla@correo.com  23/07/1981  \n",
       "4            agomis@mail.es  04/04/1956  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cliente.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "248ab31b-f7dd-4e2f-bbe0-a3433189c666",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Expresiones regulares"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "59d1888c-591d-464e-84db-2fd6f4478cb2",
   "metadata": {},
   "outputs": [],
   "source": [
    "cliente = pd.read_csv('./data/dimension_cliente.csv', sep='\\t', encoding='UTF-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "c59b9008-d3b3-4311-8119-a337d33e4855",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Clientes cuyo NIF tiene un 2\n",
    "filtro = cliente['NIF'].str.contains('2')\n",
    "cliente ['TienenUn2'] = filtro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "c8ebb144-9b58-436c-b195-88debf256d29",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Clientes cuyo NIF empieza por 2\n",
    "filtro = cliente['NIF'].str.contains('^2')\n",
    "cliente ['EmpiezaPor2'] = filtro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "15ed0762-75c8-43ed-8351-f5f9ec80ba5b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Clientes cuyo NIF tiene 9 elementos (longitud 9)\n",
    "filtro = cliente['NIF'].str.contains('\\w{9}')\n",
    "cliente ['9Elementos'] = filtro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "c8f639cc-ec75-4f62-9ab3-5bca93493d49",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Clientes cuyo NIF tiene el formato correcto\n",
    "filtro = cliente['NIF'].str.contains('\\d{8}\\w{1}')\n",
    "cliente ['DniCorrecto'] = filtro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "f267cfcb-4629-42ac-82e4-53d565b64e47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idCliente</th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido1</th>\n",
       "      <th>Apellido2</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Direccion</th>\n",
       "      <th>Municipio</th>\n",
       "      <th>Provincia</th>\n",
       "      <th>CP</th>\n",
       "      <th>Comunidad</th>\n",
       "      <th>Movil</th>\n",
       "      <th>Telefono</th>\n",
       "      <th>Correo</th>\n",
       "      <th>Nacimiento</th>\n",
       "      <th>TienenUn2</th>\n",
       "      <th>EmpiezaPor2</th>\n",
       "      <th>9Elementos</th>\n",
       "      <th>DniCorrecto</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>8899616E</td>\n",
       "      <td>Adrián</td>\n",
       "      <td>Fernández</td>\n",
       "      <td>Rey</td>\n",
       "      <td>H</td>\n",
       "      <td>Plaza  Septentrional Verde 149, 5</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1440</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>684 680 588</td>\n",
       "      <td>945 796 001</td>\n",
       "      <td>afernandez@correo.es</td>\n",
       "      <td>07/09/1974</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>43238429 Q</td>\n",
       "      <td>José</td>\n",
       "      <td>Hernández</td>\n",
       "      <td>Domínguez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo de  Estratega Joven 57, 1º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1271</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>625265233,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>josehernandez@mail.net</td>\n",
       "      <td>20/09/1937</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>78747399</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Romero</td>\n",
       "      <td>Tena</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida Ocasión 83, 1º 5ª</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1606</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>671737062,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>juliaromero51@mail.es</td>\n",
       "      <td>28/02/1963</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>91929848k</td>\n",
       "      <td>Raquel</td>\n",
       "      <td>Puebla</td>\n",
       "      <td>Álvarez</td>\n",
       "      <td>M</td>\n",
       "      <td>Calle Trapezoide Prolijo 84, 3º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1205</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>945562191,0</td>\n",
       "      <td>raquel.puebla@correo.com</td>\n",
       "      <td>23/07/1981</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>24485203-R</td>\n",
       "      <td>Alberto</td>\n",
       "      <td>Gomis</td>\n",
       "      <td>Vázquez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo Hemograma 233, 6</td>\n",
       "      <td>Almansa</td>\n",
       "      <td>Albacete</td>\n",
       "      <td>2552</td>\n",
       "      <td>Castilla La Mancha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>agomis@mail.es</td>\n",
       "      <td>04/04/1956</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>196</td>\n",
       "      <td>88501155F</td>\n",
       "      <td>María Rosario</td>\n",
       "      <td>García</td>\n",
       "      <td>Ribera</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida Flagelo 80, 1º 6ª</td>\n",
       "      <td>Bilbao</td>\n",
       "      <td>Vizcaya</td>\n",
       "      <td>48266</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>608292972,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>margarcia@email.com</td>\n",
       "      <td>22/08/1948</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>197</td>\n",
       "      <td>44525818A</td>\n",
       "      <td>Purificación</td>\n",
       "      <td>Rodríguez</td>\n",
       "      <td>Torres</td>\n",
       "      <td>M</td>\n",
       "      <td>Plaza Verbo 258, 2º 4ª</td>\n",
       "      <td>Bilbao</td>\n",
       "      <td>Vizcaya</td>\n",
       "      <td>48660</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rodriguez11@correo.es</td>\n",
       "      <td>01/05/1945</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>198</td>\n",
       "      <td>47694054N</td>\n",
       "      <td>Carmen</td>\n",
       "      <td>Castelo</td>\n",
       "      <td>Ibáñez</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida Tubérculo 163, 6º 1ª</td>\n",
       "      <td>Zaragoza</td>\n",
       "      <td>Zaragoza</td>\n",
       "      <td>50832</td>\n",
       "      <td>Aragón</td>\n",
       "      <td>639 839 470</td>\n",
       "      <td>NaN</td>\n",
       "      <td>carmencastelo@correo.net</td>\n",
       "      <td>12/01/1940</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>199</td>\n",
       "      <td>40169914T</td>\n",
       "      <td>María Ángeles</td>\n",
       "      <td>Benítez</td>\n",
       "      <td>Contreras</td>\n",
       "      <td>M</td>\n",
       "      <td>Calle de  Dibujo 207, 3º 4ª</td>\n",
       "      <td>Zaragoza</td>\n",
       "      <td>Zaragoza</td>\n",
       "      <td>50366</td>\n",
       "      <td>Aragón</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maribenitez62@mail.com</td>\n",
       "      <td>22/11/1967</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>200</td>\n",
       "      <td>63551397M</td>\n",
       "      <td>Miguel</td>\n",
       "      <td>Guerrero</td>\n",
       "      <td>López</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo Disciplina 245, 6</td>\n",
       "      <td>Zaragoza</td>\n",
       "      <td>Zaragoza</td>\n",
       "      <td>50624</td>\n",
       "      <td>Aragón</td>\n",
       "      <td>662-267-322</td>\n",
       "      <td>976-569-481</td>\n",
       "      <td>guerrero50@email.es</td>\n",
       "      <td>30/10/1976</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>200 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     idCliente         NIF         Nombre  Apellido1  Apellido2 Sexo  \\\n",
       "0            1    8899616E         Adrián  Fernández        Rey    H   \n",
       "1            2  43238429 Q           José  Hernández  Domínguez    H   \n",
       "2            3    78747399          Julia     Romero       Tena    M   \n",
       "3            4   91929848k         Raquel     Puebla    Álvarez    M   \n",
       "4            5  24485203-R        Alberto      Gomis    Vázquez    H   \n",
       "..         ...         ...            ...        ...        ...  ...   \n",
       "195        196   88501155F  María Rosario     García     Ribera    M   \n",
       "196        197   44525818A   Purificación  Rodríguez     Torres    M   \n",
       "197        198   47694054N         Carmen    Castelo     Ibáñez    M   \n",
       "198        199   40169914T  María Ángeles    Benítez  Contreras    M   \n",
       "199        200   63551397M         Miguel   Guerrero      López    H   \n",
       "\n",
       "                             Direccion Municipio Provincia     CP  \\\n",
       "0    Plaza  Septentrional Verde 149, 5   Vitoria     Álava   1440   \n",
       "1     Paseo de  Estratega Joven 57, 1º   Vitoria     Álava   1271   \n",
       "2            Avenida Ocasión 83, 1º 5ª   Vitoria     Álava   1606   \n",
       "3      Calle Trapezoide Prolijo 84, 3º   Vitoria     Álava   1205   \n",
       "4               Paseo Hemograma 233, 6   Almansa  Albacete   2552   \n",
       "..                                 ...       ...       ...    ...   \n",
       "195          Avenida Flagelo 80, 1º 6ª    Bilbao   Vizcaya  48266   \n",
       "196             Plaza Verbo 258, 2º 4ª    Bilbao   Vizcaya  48660   \n",
       "197       Avenida Tubérculo 163, 6º 1ª  Zaragoza  Zaragoza  50832   \n",
       "198        Calle de  Dibujo 207, 3º 4ª  Zaragoza  Zaragoza  50366   \n",
       "199            Paseo Disciplina 245, 6  Zaragoza  Zaragoza  50624   \n",
       "\n",
       "              Comunidad         Movil      Telefono                    Correo  \\\n",
       "0            País Vasco   684 680 588   945 796 001      afernandez@correo.es   \n",
       "1            País Vasco   625265233,0           NaN    josehernandez@mail.net   \n",
       "2            País Vasco   671737062,0           NaN     juliaromero51@mail.es   \n",
       "3            País Vasco           NaN   945562191,0  raquel.puebla@correo.com   \n",
       "4    Castilla La Mancha           NaN           NaN            agomis@mail.es   \n",
       "..                  ...           ...           ...                       ...   \n",
       "195          País Vasco   608292972,0           NaN       margarcia@email.com   \n",
       "196          País Vasco           NaN           NaN     rodriguez11@correo.es   \n",
       "197              Aragón   639 839 470           NaN  carmencastelo@correo.net   \n",
       "198              Aragón           NaN           NaN    maribenitez62@mail.com   \n",
       "199              Aragón   662-267-322   976-569-481       guerrero50@email.es   \n",
       "\n",
       "     Nacimiento  TienenUn2  EmpiezaPor2  9Elementos  DniCorrecto  \n",
       "0    07/09/1974      False        False       False        False  \n",
       "1    20/09/1937       True        False       False        False  \n",
       "2    28/02/1963      False        False       False        False  \n",
       "3    23/07/1981       True        False        True         True  \n",
       "4    04/04/1956       True         True       False        False  \n",
       "..          ...        ...          ...         ...          ...  \n",
       "195  22/08/1948      False        False        True         True  \n",
       "196  01/05/1945       True        False        True         True  \n",
       "197  12/01/1940      False        False        True         True  \n",
       "198  22/11/1967      False        False        True         True  \n",
       "199  30/10/1976      False        False        True         True  \n",
       "\n",
       "[200 rows x 19 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cliente"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "3a02d1a8-8787-4aa3-9dc8-a7e3a4c6c791",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Eliminamos espacios y - de la columna NIF y volvemos a comprobar si los NIF correctos \n",
    "cliente['NIF'] = cliente ['NIF'].str.replace(\"-\",\"\").str.replace(\" \",\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "edc74cc0-255f-49b3-89e2-6c5ad99978d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Clientes cuyo NIF tiene el formato correcto\n",
    "filtro = cliente['NIF'].str.contains('\\d{8}\\w{1}')\n",
    "cliente ['DniCorrecto2'] = filtro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "3a2b2372-63d7-4161-b73c-5b35a8fe2a12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idCliente</th>\n",
       "      <th>NIF</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Apellido1</th>\n",
       "      <th>Apellido2</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Direccion</th>\n",
       "      <th>Municipio</th>\n",
       "      <th>Provincia</th>\n",
       "      <th>CP</th>\n",
       "      <th>Comunidad</th>\n",
       "      <th>Movil</th>\n",
       "      <th>Telefono</th>\n",
       "      <th>Correo</th>\n",
       "      <th>Nacimiento</th>\n",
       "      <th>TienenUn2</th>\n",
       "      <th>EmpiezaPor2</th>\n",
       "      <th>9Elementos</th>\n",
       "      <th>DniCorrecto</th>\n",
       "      <th>DniCorrecto2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>8899616E</td>\n",
       "      <td>Adrián</td>\n",
       "      <td>Fernández</td>\n",
       "      <td>Rey</td>\n",
       "      <td>H</td>\n",
       "      <td>Plaza  Septentrional Verde 149, 5</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1440</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>684 680 588</td>\n",
       "      <td>945 796 001</td>\n",
       "      <td>afernandez@correo.es</td>\n",
       "      <td>07/09/1974</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>43238429Q</td>\n",
       "      <td>José</td>\n",
       "      <td>Hernández</td>\n",
       "      <td>Domínguez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo de  Estratega Joven 57, 1º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1271</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>625265233,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>josehernandez@mail.net</td>\n",
       "      <td>20/09/1937</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>78747399</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Romero</td>\n",
       "      <td>Tena</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida Ocasión 83, 1º 5ª</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1606</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>671737062,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>juliaromero51@mail.es</td>\n",
       "      <td>28/02/1963</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>91929848k</td>\n",
       "      <td>Raquel</td>\n",
       "      <td>Puebla</td>\n",
       "      <td>Álvarez</td>\n",
       "      <td>M</td>\n",
       "      <td>Calle Trapezoide Prolijo 84, 3º</td>\n",
       "      <td>Vitoria</td>\n",
       "      <td>Álava</td>\n",
       "      <td>1205</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>945562191,0</td>\n",
       "      <td>raquel.puebla@correo.com</td>\n",
       "      <td>23/07/1981</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>24485203R</td>\n",
       "      <td>Alberto</td>\n",
       "      <td>Gomis</td>\n",
       "      <td>Vázquez</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo Hemograma 233, 6</td>\n",
       "      <td>Almansa</td>\n",
       "      <td>Albacete</td>\n",
       "      <td>2552</td>\n",
       "      <td>Castilla La Mancha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>agomis@mail.es</td>\n",
       "      <td>04/04/1956</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>196</td>\n",
       "      <td>88501155F</td>\n",
       "      <td>María Rosario</td>\n",
       "      <td>García</td>\n",
       "      <td>Ribera</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida Flagelo 80, 1º 6ª</td>\n",
       "      <td>Bilbao</td>\n",
       "      <td>Vizcaya</td>\n",
       "      <td>48266</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>608292972,0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>margarcia@email.com</td>\n",
       "      <td>22/08/1948</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>197</td>\n",
       "      <td>44525818A</td>\n",
       "      <td>Purificación</td>\n",
       "      <td>Rodríguez</td>\n",
       "      <td>Torres</td>\n",
       "      <td>M</td>\n",
       "      <td>Plaza Verbo 258, 2º 4ª</td>\n",
       "      <td>Bilbao</td>\n",
       "      <td>Vizcaya</td>\n",
       "      <td>48660</td>\n",
       "      <td>País Vasco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rodriguez11@correo.es</td>\n",
       "      <td>01/05/1945</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>198</td>\n",
       "      <td>47694054N</td>\n",
       "      <td>Carmen</td>\n",
       "      <td>Castelo</td>\n",
       "      <td>Ibáñez</td>\n",
       "      <td>M</td>\n",
       "      <td>Avenida Tubérculo 163, 6º 1ª</td>\n",
       "      <td>Zaragoza</td>\n",
       "      <td>Zaragoza</td>\n",
       "      <td>50832</td>\n",
       "      <td>Aragón</td>\n",
       "      <td>639 839 470</td>\n",
       "      <td>NaN</td>\n",
       "      <td>carmencastelo@correo.net</td>\n",
       "      <td>12/01/1940</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>199</td>\n",
       "      <td>40169914T</td>\n",
       "      <td>María Ángeles</td>\n",
       "      <td>Benítez</td>\n",
       "      <td>Contreras</td>\n",
       "      <td>M</td>\n",
       "      <td>Calle de  Dibujo 207, 3º 4ª</td>\n",
       "      <td>Zaragoza</td>\n",
       "      <td>Zaragoza</td>\n",
       "      <td>50366</td>\n",
       "      <td>Aragón</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maribenitez62@mail.com</td>\n",
       "      <td>22/11/1967</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>200</td>\n",
       "      <td>63551397M</td>\n",
       "      <td>Miguel</td>\n",
       "      <td>Guerrero</td>\n",
       "      <td>López</td>\n",
       "      <td>H</td>\n",
       "      <td>Paseo Disciplina 245, 6</td>\n",
       "      <td>Zaragoza</td>\n",
       "      <td>Zaragoza</td>\n",
       "      <td>50624</td>\n",
       "      <td>Aragón</td>\n",
       "      <td>662-267-322</td>\n",
       "      <td>976-569-481</td>\n",
       "      <td>guerrero50@email.es</td>\n",
       "      <td>30/10/1976</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>200 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     idCliente        NIF         Nombre  Apellido1  Apellido2 Sexo  \\\n",
       "0            1   8899616E         Adrián  Fernández        Rey    H   \n",
       "1            2  43238429Q           José  Hernández  Domínguez    H   \n",
       "2            3   78747399          Julia     Romero       Tena    M   \n",
       "3            4  91929848k         Raquel     Puebla    Álvarez    M   \n",
       "4            5  24485203R        Alberto      Gomis    Vázquez    H   \n",
       "..         ...        ...            ...        ...        ...  ...   \n",
       "195        196  88501155F  María Rosario     García     Ribera    M   \n",
       "196        197  44525818A   Purificación  Rodríguez     Torres    M   \n",
       "197        198  47694054N         Carmen    Castelo     Ibáñez    M   \n",
       "198        199  40169914T  María Ángeles    Benítez  Contreras    M   \n",
       "199        200  63551397M         Miguel   Guerrero      López    H   \n",
       "\n",
       "                             Direccion Municipio Provincia     CP  \\\n",
       "0    Plaza  Septentrional Verde 149, 5   Vitoria     Álava   1440   \n",
       "1     Paseo de  Estratega Joven 57, 1º   Vitoria     Álava   1271   \n",
       "2            Avenida Ocasión 83, 1º 5ª   Vitoria     Álava   1606   \n",
       "3      Calle Trapezoide Prolijo 84, 3º   Vitoria     Álava   1205   \n",
       "4               Paseo Hemograma 233, 6   Almansa  Albacete   2552   \n",
       "..                                 ...       ...       ...    ...   \n",
       "195          Avenida Flagelo 80, 1º 6ª    Bilbao   Vizcaya  48266   \n",
       "196             Plaza Verbo 258, 2º 4ª    Bilbao   Vizcaya  48660   \n",
       "197       Avenida Tubérculo 163, 6º 1ª  Zaragoza  Zaragoza  50832   \n",
       "198        Calle de  Dibujo 207, 3º 4ª  Zaragoza  Zaragoza  50366   \n",
       "199            Paseo Disciplina 245, 6  Zaragoza  Zaragoza  50624   \n",
       "\n",
       "              Comunidad         Movil      Telefono                    Correo  \\\n",
       "0            País Vasco   684 680 588   945 796 001      afernandez@correo.es   \n",
       "1            País Vasco   625265233,0           NaN    josehernandez@mail.net   \n",
       "2            País Vasco   671737062,0           NaN     juliaromero51@mail.es   \n",
       "3            País Vasco           NaN   945562191,0  raquel.puebla@correo.com   \n",
       "4    Castilla La Mancha           NaN           NaN            agomis@mail.es   \n",
       "..                  ...           ...           ...                       ...   \n",
       "195          País Vasco   608292972,0           NaN       margarcia@email.com   \n",
       "196          País Vasco           NaN           NaN     rodriguez11@correo.es   \n",
       "197              Aragón   639 839 470           NaN  carmencastelo@correo.net   \n",
       "198              Aragón           NaN           NaN    maribenitez62@mail.com   \n",
       "199              Aragón   662-267-322   976-569-481       guerrero50@email.es   \n",
       "\n",
       "     Nacimiento  TienenUn2  EmpiezaPor2  9Elementos  DniCorrecto  DniCorrecto2  \n",
       "0    07/09/1974      False        False       False        False         False  \n",
       "1    20/09/1937       True        False       False        False          True  \n",
       "2    28/02/1963      False        False       False        False         False  \n",
       "3    23/07/1981       True        False        True         True          True  \n",
       "4    04/04/1956       True         True       False        False          True  \n",
       "..          ...        ...          ...         ...          ...           ...  \n",
       "195  22/08/1948      False        False        True         True          True  \n",
       "196  01/05/1945       True        False        True         True          True  \n",
       "197  12/01/1940      False        False        True         True          True  \n",
       "198  22/11/1967      False        False        True         True          True  \n",
       "199  30/10/1976      False        False        True         True          True  \n",
       "\n",
       "[200 rows x 20 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cliente"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2858885a-6ae3-4906-aa6a-310fa43e9ebb",
   "metadata": {},
   "source": [
    "## El formato fecha"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13ac2bfd-c112-4dad-82a9-3b76fd2863fd",
   "metadata": {},
   "source": [
    "#### Trabajaremos ahora con datos tipo fecha"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "10b16910-0a59-474d-b453-4ea9dff93416",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "86504433-0e62-42b8-b9ec-e2280628801c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame({'fecha original': ['1/8/2021 20:30:00',\n",
    "                                      '15/9/2021 15:15:13',\n",
    "                                      '3/10/2021 08:10:02', \n",
    "                                      '3/11/2021 23:59:59', \n",
    "                                      '3/12/2021 00:00:01'],\n",
    "                   'valor': [6,5, 2, 3, 4]})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "04871304-964c-4a2b-bbc2-23e6603d00ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5 entries, 0 to 4\n",
      "Data columns (total 2 columns):\n",
      " #   Column          Non-Null Count  Dtype \n",
      "---  ------          --------------  ----- \n",
      " 0   fecha original  5 non-null      object\n",
      " 1   valor           5 non-null      int64 \n",
      "dtypes: int64(1), object(1)\n",
      "memory usage: 208.0+ bytes\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "42b613e7-a7b4-4515-a65f-1f4fd9ce6922",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5 entries, 0 to 4\n",
      "Data columns (total 3 columns):\n",
      " #   Column          Non-Null Count  Dtype         \n",
      "---  ------          --------------  -----         \n",
      " 0   fecha original  5 non-null      object        \n",
      " 1   valor           5 non-null      int64         \n",
      " 2   fecha1          5 non-null      datetime64[ns]\n",
      "dtypes: datetime64[ns](1), int64(1), object(1)\n",
      "memory usage: 248.0+ bytes\n"
     ]
    }
   ],
   "source": [
    "# Convertir string a datetime\n",
    "df['fecha1'] = pd.to_datetime(df['fecha original'])\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6e07bf8-97ab-4b1a-817e-ba69afac7d14",
   "metadata": {},
   "source": [
    "#### Por defecto Python parsea los datos con el mes primero (MM/DD, MM DD, MM-DD)(formato americano).  Para utilizar el formato europeo, añadimos el argumento dayfirst."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "928d4cad-94b0-43e4-be9a-2bb64b02100d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convertir string a datetime 2\n",
    "df['fecha2'] = pd.to_datetime(df['fecha original'], dayfirst=True) # de esta manera procesamos Año - Mes - Día\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "b3095b44-8504-4521-b6b1-18d1f06fd314",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha original</th>\n",
       "      <th>valor</th>\n",
       "      <th>fecha1</th>\n",
       "      <th>fecha2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1/8/2021 20:30:00</td>\n",
       "      <td>6</td>\n",
       "      <td>2021-01-08 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15/9/2021 15:15:13</td>\n",
       "      <td>5</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3/10/2021 08:10:02</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-03-10 08:10:02</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3/11/2021 23:59:59</td>\n",
       "      <td>3</td>\n",
       "      <td>2021-03-11 23:59:59</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3/12/2021 00:00:01</td>\n",
       "      <td>4</td>\n",
       "      <td>2021-03-12 00:00:01</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       fecha original  valor              fecha1              fecha2\n",
       "0   1/8/2021 20:30:00      6 2021-01-08 20:30:00 2021-08-01 20:30:00\n",
       "1  15/9/2021 15:15:13      5 2021-09-15 15:15:13 2021-09-15 15:15:13\n",
       "2  3/10/2021 08:10:02      2 2021-03-10 08:10:02 2021-10-03 08:10:02\n",
       "3  3/11/2021 23:59:59      3 2021-03-11 23:59:59 2021-11-03 23:59:59\n",
       "4  3/12/2021 00:00:01      4 2021-03-12 00:00:01 2021-12-03 00:00:01"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60de4222-f505-4892-bbaa-f294b8228c87",
   "metadata": {},
   "source": [
    "#### Usando máscaras nos saltamos el problema del formato para fecha que por defecto usa Python, y podemos especificarle  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "f42b0ead-fe0b-4f6a-832c-7e3a6a7cc91c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Usando máscaras...\n",
    "df['fecha3'] = pd.to_datetime(df['fecha original'], format= '%d/%m/%Y %H:%M:%S')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "e34d9080-d22f-411a-aea0-b5476b114ace",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Eliminar el timestamp...\n",
    "df['fecha4'] = pd.to_datetime(df['fecha original']).dt.date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "56c0c8dc-a761-498d-b095-8ad5ce557c5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha original</th>\n",
       "      <th>valor</th>\n",
       "      <th>fecha1</th>\n",
       "      <th>fecha2</th>\n",
       "      <th>fecha3</th>\n",
       "      <th>fecha4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1/8/2021 20:30:00</td>\n",
       "      <td>6</td>\n",
       "      <td>2021-01-08 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-01-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15/9/2021 15:15:13</td>\n",
       "      <td>5</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3/10/2021 08:10:02</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-03-10 08:10:02</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-03-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3/11/2021 23:59:59</td>\n",
       "      <td>3</td>\n",
       "      <td>2021-03-11 23:59:59</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "      <td>2021-03-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3/12/2021 00:00:01</td>\n",
       "      <td>4</td>\n",
       "      <td>2021-03-12 00:00:01</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "      <td>2021-03-12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       fecha original  valor              fecha1              fecha2  \\\n",
       "0   1/8/2021 20:30:00      6 2021-01-08 20:30:00 2021-08-01 20:30:00   \n",
       "1  15/9/2021 15:15:13      5 2021-09-15 15:15:13 2021-09-15 15:15:13   \n",
       "2  3/10/2021 08:10:02      2 2021-03-10 08:10:02 2021-10-03 08:10:02   \n",
       "3  3/11/2021 23:59:59      3 2021-03-11 23:59:59 2021-11-03 23:59:59   \n",
       "4  3/12/2021 00:00:01      4 2021-03-12 00:00:01 2021-12-03 00:00:01   \n",
       "\n",
       "               fecha3      fecha4  \n",
       "0 2021-08-01 20:30:00  2021-01-08  \n",
       "1 2021-09-15 15:15:13  2021-09-15  \n",
       "2 2021-10-03 08:10:02  2021-03-10  \n",
       "3 2021-11-03 23:59:59  2021-03-11  \n",
       "4 2021-12-03 00:00:01  2021-03-12  "
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "826d363d-3a32-4ede-a11f-a92da24dca72",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extraer la hora de timestamp de los datos\n",
    "df['hora'] = pd.to_datetime(df['fecha original']).dt.time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "24e8d5c7-01d3-42a1-8066-15d49ad08565",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha original</th>\n",
       "      <th>valor</th>\n",
       "      <th>fecha1</th>\n",
       "      <th>fecha2</th>\n",
       "      <th>fecha3</th>\n",
       "      <th>fecha4</th>\n",
       "      <th>hora</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1/8/2021 20:30:00</td>\n",
       "      <td>6</td>\n",
       "      <td>2021-01-08 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-01-08</td>\n",
       "      <td>20:30:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15/9/2021 15:15:13</td>\n",
       "      <td>5</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15</td>\n",
       "      <td>15:15:13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3/10/2021 08:10:02</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-03-10 08:10:02</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-03-10</td>\n",
       "      <td>08:10:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3/11/2021 23:59:59</td>\n",
       "      <td>3</td>\n",
       "      <td>2021-03-11 23:59:59</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "      <td>2021-03-11</td>\n",
       "      <td>23:59:59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3/12/2021 00:00:01</td>\n",
       "      <td>4</td>\n",
       "      <td>2021-03-12 00:00:01</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "      <td>2021-03-12</td>\n",
       "      <td>00:00:01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       fecha original  valor              fecha1              fecha2  \\\n",
       "0   1/8/2021 20:30:00      6 2021-01-08 20:30:00 2021-08-01 20:30:00   \n",
       "1  15/9/2021 15:15:13      5 2021-09-15 15:15:13 2021-09-15 15:15:13   \n",
       "2  3/10/2021 08:10:02      2 2021-03-10 08:10:02 2021-10-03 08:10:02   \n",
       "3  3/11/2021 23:59:59      3 2021-03-11 23:59:59 2021-11-03 23:59:59   \n",
       "4  3/12/2021 00:00:01      4 2021-03-12 00:00:01 2021-12-03 00:00:01   \n",
       "\n",
       "               fecha3      fecha4      hora  \n",
       "0 2021-08-01 20:30:00  2021-01-08  20:30:00  \n",
       "1 2021-09-15 15:15:13  2021-09-15  15:15:13  \n",
       "2 2021-10-03 08:10:02  2021-03-10  08:10:02  \n",
       "3 2021-11-03 23:59:59  2021-03-11  23:59:59  \n",
       "4 2021-12-03 00:00:01  2021-03-12  00:00:01  "
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2a27f72-07c7-4166-86af-cc38e3452e49",
   "metadata": {},
   "source": [
    "#### Podemos pedirle a python que infiera el formato de fecha de los datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "80bab888-4d5e-4479-a0ae-a925852c057d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   2021-01-08 20:30:00\n",
       "1   2021-09-15 15:15:13\n",
       "2   2021-03-10 08:10:02\n",
       "3   2021-03-11 23:59:59\n",
       "4   2021-03-12 00:00:01\n",
       "Name: fecha original, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.to_datetime(df['fecha original'], infer_datetime_format=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb5731a7-34dc-45fb-8c8b-dc528f9dee13",
   "metadata": {},
   "source": [
    "#### to_datetime() incluye un argumento para tratar los casos en los que se produce un error de conversión.  Los valores posibles son, raise, coerce, ignore.  Por defecto toma raise."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "ec12f8ea-e749-4da8-aefa-6eb95b786339",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   2021-01-08 20:30:00\n",
       "1   2021-09-15 15:15:13\n",
       "2   2021-03-10 08:10:02\n",
       "3   2021-03-11 23:59:59\n",
       "4   2021-03-12 00:00:01\n",
       "Name: fecha original, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.to_datetime(df['fecha original'], errors='ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14844160-367a-49e4-a550-832122b07572",
   "metadata": {},
   "source": [
    "#### Construcción de una variable fecha a partir de otras columnas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "def19696-3276-4326-bc49-7df11da1bb00",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extraemos primero los datos de día, mes y año para poder reconstruirlos luego\n",
    "df['dia'] = df['fecha1'].dt.day\n",
    "df['mes'] = df['fecha1'].dt.month\n",
    "df['año'] = df['fecha1'].dt.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "34b132bf-7c13-4501-8562-46ae84621463",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha original</th>\n",
       "      <th>valor</th>\n",
       "      <th>fecha1</th>\n",
       "      <th>fecha2</th>\n",
       "      <th>fecha3</th>\n",
       "      <th>fecha4</th>\n",
       "      <th>hora</th>\n",
       "      <th>dia</th>\n",
       "      <th>mes</th>\n",
       "      <th>año</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1/8/2021 20:30:00</td>\n",
       "      <td>6</td>\n",
       "      <td>2021-01-08 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-01-08</td>\n",
       "      <td>20:30:00</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15/9/2021 15:15:13</td>\n",
       "      <td>5</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15</td>\n",
       "      <td>15:15:13</td>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3/10/2021 08:10:02</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-03-10 08:10:02</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-03-10</td>\n",
       "      <td>08:10:02</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3/11/2021 23:59:59</td>\n",
       "      <td>3</td>\n",
       "      <td>2021-03-11 23:59:59</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "      <td>2021-03-11</td>\n",
       "      <td>23:59:59</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3/12/2021 00:00:01</td>\n",
       "      <td>4</td>\n",
       "      <td>2021-03-12 00:00:01</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "      <td>2021-03-12</td>\n",
       "      <td>00:00:01</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       fecha original  valor              fecha1              fecha2  \\\n",
       "0   1/8/2021 20:30:00      6 2021-01-08 20:30:00 2021-08-01 20:30:00   \n",
       "1  15/9/2021 15:15:13      5 2021-09-15 15:15:13 2021-09-15 15:15:13   \n",
       "2  3/10/2021 08:10:02      2 2021-03-10 08:10:02 2021-10-03 08:10:02   \n",
       "3  3/11/2021 23:59:59      3 2021-03-11 23:59:59 2021-11-03 23:59:59   \n",
       "4  3/12/2021 00:00:01      4 2021-03-12 00:00:01 2021-12-03 00:00:01   \n",
       "\n",
       "               fecha3      fecha4      hora  dia  mes   año  \n",
       "0 2021-08-01 20:30:00  2021-01-08  20:30:00    8    1  2021  \n",
       "1 2021-09-15 15:15:13  2021-09-15  15:15:13   15    9  2021  \n",
       "2 2021-10-03 08:10:02  2021-03-10  08:10:02   10    3  2021  \n",
       "3 2021-11-03 23:59:59  2021-03-11  23:59:59   11    3  2021  \n",
       "4 2021-12-03 00:00:01  2021-03-12  00:00:01   12    3  2021  "
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "a877ba2e-55db-434b-b174-62d660112f0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Lo hacemos por pasos para ver el proceso\n",
    "construccionFecha = df.dia.astype('string') + '/' + df.mes.astype('string') + '/' + df['año'].astype('string') \n",
    "df['fecha5'] = pd.to_datetime(construccionFecha)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "e8578f33-2d88-4ed9-a339-bd781a47ea30",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   2021-08-01\n",
       "1   2021-09-15\n",
       "2   2021-10-03\n",
       "3   2021-11-03\n",
       "4   2021-12-03\n",
       "Name: fecha5, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['fecha5']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8ff96ae-575a-4770-9c7f-2a27fa9cff61",
   "metadata": {},
   "source": [
    "#### Otras opciones interesantes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "96f7e46a-23c0-428a-9672-897086e2d19a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extracción del número de semana\n",
    "df['numSemana'] = df['fecha1'].dt.week"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "d1515e84-c34f-4ac8-aeb2-eb33a0d8b27b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extracción del número de día de la semana\n",
    "df['diadelasemana'] = df['fecha1'].dt.dayofweek"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "017d4d11-9ad8-4ed9-98f2-1af6204eb438",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Comprobación de año bisiesto\n",
    "df['bisiesto'] = df['fecha1'].dt.is_leap_year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "419e51e7-1099-479b-bef1-2c1e364f9915",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha original</th>\n",
       "      <th>valor</th>\n",
       "      <th>fecha1</th>\n",
       "      <th>fecha2</th>\n",
       "      <th>fecha3</th>\n",
       "      <th>fecha4</th>\n",
       "      <th>hora</th>\n",
       "      <th>dia</th>\n",
       "      <th>mes</th>\n",
       "      <th>año</th>\n",
       "      <th>fecha5</th>\n",
       "      <th>numSemana</th>\n",
       "      <th>diadelasemana</th>\n",
       "      <th>bisiesto</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1/8/2021 20:30:00</td>\n",
       "      <td>6</td>\n",
       "      <td>2021-01-08 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-01-08</td>\n",
       "      <td>20:30:00</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-08-01</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15/9/2021 15:15:13</td>\n",
       "      <td>5</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15</td>\n",
       "      <td>15:15:13</td>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-09-15</td>\n",
       "      <td>37</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3/10/2021 08:10:02</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-03-10 08:10:02</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-03-10</td>\n",
       "      <td>08:10:02</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-10-03</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3/11/2021 23:59:59</td>\n",
       "      <td>3</td>\n",
       "      <td>2021-03-11 23:59:59</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "      <td>2021-03-11</td>\n",
       "      <td>23:59:59</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-11-03</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3/12/2021 00:00:01</td>\n",
       "      <td>4</td>\n",
       "      <td>2021-03-12 00:00:01</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "      <td>2021-03-12</td>\n",
       "      <td>00:00:01</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-12-03</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       fecha original  valor              fecha1              fecha2  \\\n",
       "0   1/8/2021 20:30:00      6 2021-01-08 20:30:00 2021-08-01 20:30:00   \n",
       "1  15/9/2021 15:15:13      5 2021-09-15 15:15:13 2021-09-15 15:15:13   \n",
       "2  3/10/2021 08:10:02      2 2021-03-10 08:10:02 2021-10-03 08:10:02   \n",
       "3  3/11/2021 23:59:59      3 2021-03-11 23:59:59 2021-11-03 23:59:59   \n",
       "4  3/12/2021 00:00:01      4 2021-03-12 00:00:01 2021-12-03 00:00:01   \n",
       "\n",
       "               fecha3      fecha4      hora  dia  mes   año     fecha5  \\\n",
       "0 2021-08-01 20:30:00  2021-01-08  20:30:00    8    1  2021 2021-08-01   \n",
       "1 2021-09-15 15:15:13  2021-09-15  15:15:13   15    9  2021 2021-09-15   \n",
       "2 2021-10-03 08:10:02  2021-03-10  08:10:02   10    3  2021 2021-10-03   \n",
       "3 2021-11-03 23:59:59  2021-03-11  23:59:59   11    3  2021 2021-11-03   \n",
       "4 2021-12-03 00:00:01  2021-03-12  00:00:01   12    3  2021 2021-12-03   \n",
       "\n",
       "   numSemana  diadelasemana  bisiesto  \n",
       "0          1              4     False  \n",
       "1         37              2     False  \n",
       "2         10              2     False  \n",
       "3         10              3     False  \n",
       "4         10              4     False  "
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "74a9b006-5b85-46f1-a6ff-5bb82d60c8db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha original</th>\n",
       "      <th>valor</th>\n",
       "      <th>fecha1</th>\n",
       "      <th>fecha2</th>\n",
       "      <th>fecha3</th>\n",
       "      <th>fecha4</th>\n",
       "      <th>hora</th>\n",
       "      <th>dia</th>\n",
       "      <th>mes</th>\n",
       "      <th>año</th>\n",
       "      <th>fecha5</th>\n",
       "      <th>numSemana</th>\n",
       "      <th>diadelasemana</th>\n",
       "      <th>bisiesto</th>\n",
       "      <th>nombrediadelasemana</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1/8/2021 20:30:00</td>\n",
       "      <td>6</td>\n",
       "      <td>2021-01-08 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-01-08</td>\n",
       "      <td>20:30:00</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-08-01</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "      <td>Viernes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15/9/2021 15:15:13</td>\n",
       "      <td>5</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15</td>\n",
       "      <td>15:15:13</td>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-09-15</td>\n",
       "      <td>37</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>Miércoles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3/10/2021 08:10:02</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-03-10 08:10:02</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-03-10</td>\n",
       "      <td>08:10:02</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-10-03</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>Miércoles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3/11/2021 23:59:59</td>\n",
       "      <td>3</td>\n",
       "      <td>2021-03-11 23:59:59</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "      <td>2021-03-11</td>\n",
       "      <td>23:59:59</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-11-03</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>Jueves</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3/12/2021 00:00:01</td>\n",
       "      <td>4</td>\n",
       "      <td>2021-03-12 00:00:01</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "      <td>2021-03-12</td>\n",
       "      <td>00:00:01</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-12-03</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "      <td>Viernes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       fecha original  valor              fecha1              fecha2  \\\n",
       "0   1/8/2021 20:30:00      6 2021-01-08 20:30:00 2021-08-01 20:30:00   \n",
       "1  15/9/2021 15:15:13      5 2021-09-15 15:15:13 2021-09-15 15:15:13   \n",
       "2  3/10/2021 08:10:02      2 2021-03-10 08:10:02 2021-10-03 08:10:02   \n",
       "3  3/11/2021 23:59:59      3 2021-03-11 23:59:59 2021-11-03 23:59:59   \n",
       "4  3/12/2021 00:00:01      4 2021-03-12 00:00:01 2021-12-03 00:00:01   \n",
       "\n",
       "               fecha3      fecha4      hora  dia  mes   año     fecha5  \\\n",
       "0 2021-08-01 20:30:00  2021-01-08  20:30:00    8    1  2021 2021-08-01   \n",
       "1 2021-09-15 15:15:13  2021-09-15  15:15:13   15    9  2021 2021-09-15   \n",
       "2 2021-10-03 08:10:02  2021-03-10  08:10:02   10    3  2021 2021-10-03   \n",
       "3 2021-11-03 23:59:59  2021-03-11  23:59:59   11    3  2021 2021-11-03   \n",
       "4 2021-12-03 00:00:01  2021-03-12  00:00:01   12    3  2021 2021-12-03   \n",
       "\n",
       "   numSemana  diadelasemana  bisiesto nombrediadelasemana  \n",
       "0          1              4     False             Viernes  \n",
       "1         37              2     False           Miércoles  \n",
       "2         10              2     False           Miércoles  \n",
       "3         10              3     False              Jueves  \n",
       "4         10              4     False             Viernes  "
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Ahora que tenemos el día de la semana, podemos 'mapear' ese valor a una etiqueta\n",
    "mapeodiassemana = {\n",
    "    0: 'Lunes',\n",
    "    1: 'Martes',\n",
    "    2: 'Miércoles',\n",
    "    3: 'Jueves',\n",
    "    4: 'Viernes',\n",
    "    5: 'Sábado',\n",
    "    6: 'Domingo'\n",
    "}\n",
    "df['nombrediadelasemana'] = df['diadelasemana'].map(mapeodiassemana)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13422033-131c-407e-8814-c7b72906838f",
   "metadata": {},
   "source": [
    "#### Calcular los días desde una fecha hasta el día actual."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "045d5bae-6414-49b4-b2a7-747ae890a731",
   "metadata": {},
   "outputs": [],
   "source": [
    "hoy = pd.to_datetime('today')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "61974bd5-2411-4fe1-9884-1cd33aca4a75",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['totaldias'] = hoy - df['fecha1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "04bc779b-f486-4c6f-abb5-ee44a34f4bbc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Si quisieramos ver por ejemplo la diferencia entre años\n",
    "df['totalaños'] = hoy.year - df['fecha1'].dt.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "be8f63b0-ca32-4de3-924b-6e4dec9712d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha original</th>\n",
       "      <th>valor</th>\n",
       "      <th>fecha1</th>\n",
       "      <th>fecha2</th>\n",
       "      <th>fecha3</th>\n",
       "      <th>fecha4</th>\n",
       "      <th>hora</th>\n",
       "      <th>dia</th>\n",
       "      <th>mes</th>\n",
       "      <th>año</th>\n",
       "      <th>fecha5</th>\n",
       "      <th>numSemana</th>\n",
       "      <th>diadelasemana</th>\n",
       "      <th>bisiesto</th>\n",
       "      <th>nombrediadelasemana</th>\n",
       "      <th>totaldias</th>\n",
       "      <th>totalaños</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1/8/2021 20:30:00</td>\n",
       "      <td>6</td>\n",
       "      <td>2021-01-08 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-01-08</td>\n",
       "      <td>20:30:00</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-08-01</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "      <td>Viernes</td>\n",
       "      <td>326 days 20:48:00.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15/9/2021 15:15:13</td>\n",
       "      <td>5</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15</td>\n",
       "      <td>15:15:13</td>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-09-15</td>\n",
       "      <td>37</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>Miércoles</td>\n",
       "      <td>77 days 02:02:47.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3/10/2021 08:10:02</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-03-10 08:10:02</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-03-10</td>\n",
       "      <td>08:10:02</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-10-03</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>Miércoles</td>\n",
       "      <td>266 days 09:07:58.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3/11/2021 23:59:59</td>\n",
       "      <td>3</td>\n",
       "      <td>2021-03-11 23:59:59</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "      <td>2021-03-11</td>\n",
       "      <td>23:59:59</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-11-03</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>Jueves</td>\n",
       "      <td>264 days 17:18:01.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3/12/2021 00:00:01</td>\n",
       "      <td>4</td>\n",
       "      <td>2021-03-12 00:00:01</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "      <td>2021-03-12</td>\n",
       "      <td>00:00:01</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-12-03</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "      <td>Viernes</td>\n",
       "      <td>264 days 17:17:59.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       fecha original  valor              fecha1              fecha2  \\\n",
       "0   1/8/2021 20:30:00      6 2021-01-08 20:30:00 2021-08-01 20:30:00   \n",
       "1  15/9/2021 15:15:13      5 2021-09-15 15:15:13 2021-09-15 15:15:13   \n",
       "2  3/10/2021 08:10:02      2 2021-03-10 08:10:02 2021-10-03 08:10:02   \n",
       "3  3/11/2021 23:59:59      3 2021-03-11 23:59:59 2021-11-03 23:59:59   \n",
       "4  3/12/2021 00:00:01      4 2021-03-12 00:00:01 2021-12-03 00:00:01   \n",
       "\n",
       "               fecha3      fecha4      hora  dia  mes   año     fecha5  \\\n",
       "0 2021-08-01 20:30:00  2021-01-08  20:30:00    8    1  2021 2021-08-01   \n",
       "1 2021-09-15 15:15:13  2021-09-15  15:15:13   15    9  2021 2021-09-15   \n",
       "2 2021-10-03 08:10:02  2021-03-10  08:10:02   10    3  2021 2021-10-03   \n",
       "3 2021-11-03 23:59:59  2021-03-11  23:59:59   11    3  2021 2021-11-03   \n",
       "4 2021-12-03 00:00:01  2021-03-12  00:00:01   12    3  2021 2021-12-03   \n",
       "\n",
       "   numSemana  diadelasemana  bisiesto nombrediadelasemana  \\\n",
       "0          1              4     False             Viernes   \n",
       "1         37              2     False           Miércoles   \n",
       "2         10              2     False           Miércoles   \n",
       "3         10              3     False              Jueves   \n",
       "4         10              4     False             Viernes   \n",
       "\n",
       "                 totaldias  totalaños  \n",
       "0 326 days 20:48:00.398740          0  \n",
       "1  77 days 02:02:47.398740          0  \n",
       "2 266 days 09:07:58.398740          0  \n",
       "3 264 days 17:18:01.398740          0  \n",
       "4 264 days 17:17:59.398740          0  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ae5af13-1889-4dc9-a4c6-78b36e01f9d5",
   "metadata": {},
   "source": [
    "#### Cuando trabajamos con datos con marca temporal, puede ser interesante usar la fecha como índice.  De esta manera podremos trabajar con los datos de manera más eficiente."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "803baf9c-5e15-4b0f-9590-c9c4020335f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.set_index('fecha1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "41ed53ab-c38a-4cfd-b92b-978fab59cfc5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha original</th>\n",
       "      <th>valor</th>\n",
       "      <th>fecha2</th>\n",
       "      <th>fecha3</th>\n",
       "      <th>fecha4</th>\n",
       "      <th>hora</th>\n",
       "      <th>dia</th>\n",
       "      <th>mes</th>\n",
       "      <th>año</th>\n",
       "      <th>fecha5</th>\n",
       "      <th>numSemana</th>\n",
       "      <th>diadelasemana</th>\n",
       "      <th>bisiesto</th>\n",
       "      <th>nombrediadelasemana</th>\n",
       "      <th>totaldias</th>\n",
       "      <th>totalaños</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fecha1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-08 20:30:00</th>\n",
       "      <td>1/8/2021 20:30:00</td>\n",
       "      <td>6</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-01-08</td>\n",
       "      <td>20:30:00</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-08-01</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "      <td>Viernes</td>\n",
       "      <td>326 days 20:48:00.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-15 15:15:13</th>\n",
       "      <td>15/9/2021 15:15:13</td>\n",
       "      <td>5</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15</td>\n",
       "      <td>15:15:13</td>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-09-15</td>\n",
       "      <td>37</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>Miércoles</td>\n",
       "      <td>77 days 02:02:47.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-10 08:10:02</th>\n",
       "      <td>3/10/2021 08:10:02</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-03-10</td>\n",
       "      <td>08:10:02</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-10-03</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>Miércoles</td>\n",
       "      <td>266 days 09:07:58.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-11 23:59:59</th>\n",
       "      <td>3/11/2021 23:59:59</td>\n",
       "      <td>3</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "      <td>2021-03-11</td>\n",
       "      <td>23:59:59</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-11-03</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>Jueves</td>\n",
       "      <td>264 days 17:18:01.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-12 00:00:01</th>\n",
       "      <td>3/12/2021 00:00:01</td>\n",
       "      <td>4</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "      <td>2021-03-12</td>\n",
       "      <td>00:00:01</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-12-03</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "      <td>Viernes</td>\n",
       "      <td>264 days 17:17:59.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         fecha original  valor              fecha2  \\\n",
       "fecha1                                                               \n",
       "2021-01-08 20:30:00   1/8/2021 20:30:00      6 2021-08-01 20:30:00   \n",
       "2021-09-15 15:15:13  15/9/2021 15:15:13      5 2021-09-15 15:15:13   \n",
       "2021-03-10 08:10:02  3/10/2021 08:10:02      2 2021-10-03 08:10:02   \n",
       "2021-03-11 23:59:59  3/11/2021 23:59:59      3 2021-11-03 23:59:59   \n",
       "2021-03-12 00:00:01  3/12/2021 00:00:01      4 2021-12-03 00:00:01   \n",
       "\n",
       "                                 fecha3      fecha4      hora  dia  mes   año  \\\n",
       "fecha1                                                                          \n",
       "2021-01-08 20:30:00 2021-08-01 20:30:00  2021-01-08  20:30:00    8    1  2021   \n",
       "2021-09-15 15:15:13 2021-09-15 15:15:13  2021-09-15  15:15:13   15    9  2021   \n",
       "2021-03-10 08:10:02 2021-10-03 08:10:02  2021-03-10  08:10:02   10    3  2021   \n",
       "2021-03-11 23:59:59 2021-11-03 23:59:59  2021-03-11  23:59:59   11    3  2021   \n",
       "2021-03-12 00:00:01 2021-12-03 00:00:01  2021-03-12  00:00:01   12    3  2021   \n",
       "\n",
       "                        fecha5  numSemana  diadelasemana  bisiesto  \\\n",
       "fecha1                                                               \n",
       "2021-01-08 20:30:00 2021-08-01          1              4     False   \n",
       "2021-09-15 15:15:13 2021-09-15         37              2     False   \n",
       "2021-03-10 08:10:02 2021-10-03         10              2     False   \n",
       "2021-03-11 23:59:59 2021-11-03         10              3     False   \n",
       "2021-03-12 00:00:01 2021-12-03         10              4     False   \n",
       "\n",
       "                    nombrediadelasemana                totaldias  totalaños  \n",
       "fecha1                                                                       \n",
       "2021-01-08 20:30:00             Viernes 326 days 20:48:00.398740          0  \n",
       "2021-09-15 15:15:13           Miércoles  77 days 02:02:47.398740          0  \n",
       "2021-03-10 08:10:02           Miércoles 266 days 09:07:58.398740          0  \n",
       "2021-03-11 23:59:59              Jueves 264 days 17:18:01.398740          0  \n",
       "2021-03-12 00:00:01             Viernes 264 days 17:17:59.398740          0  "
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "0ae3483a-f584-4f8e-a17d-099d7d0c78be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha original</th>\n",
       "      <th>valor</th>\n",
       "      <th>fecha2</th>\n",
       "      <th>fecha3</th>\n",
       "      <th>fecha4</th>\n",
       "      <th>hora</th>\n",
       "      <th>dia</th>\n",
       "      <th>mes</th>\n",
       "      <th>año</th>\n",
       "      <th>fecha5</th>\n",
       "      <th>numSemana</th>\n",
       "      <th>diadelasemana</th>\n",
       "      <th>bisiesto</th>\n",
       "      <th>nombrediadelasemana</th>\n",
       "      <th>totaldias</th>\n",
       "      <th>totalaños</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fecha1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-08 20:30:00</th>\n",
       "      <td>1/8/2021 20:30:00</td>\n",
       "      <td>6</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-01-08</td>\n",
       "      <td>20:30:00</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-08-01</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "      <td>Viernes</td>\n",
       "      <td>326 days 20:48:00.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-15 15:15:13</th>\n",
       "      <td>15/9/2021 15:15:13</td>\n",
       "      <td>5</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15 15:15:13</td>\n",
       "      <td>2021-09-15</td>\n",
       "      <td>15:15:13</td>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-09-15</td>\n",
       "      <td>37</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>Miércoles</td>\n",
       "      <td>77 days 02:02:47.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-10 08:10:02</th>\n",
       "      <td>3/10/2021 08:10:02</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-03-10</td>\n",
       "      <td>08:10:02</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-10-03</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>Miércoles</td>\n",
       "      <td>266 days 09:07:58.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-11 23:59:59</th>\n",
       "      <td>3/11/2021 23:59:59</td>\n",
       "      <td>3</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "      <td>2021-11-03 23:59:59</td>\n",
       "      <td>2021-03-11</td>\n",
       "      <td>23:59:59</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-11-03</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>Jueves</td>\n",
       "      <td>264 days 17:18:01.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-12 00:00:01</th>\n",
       "      <td>3/12/2021 00:00:01</td>\n",
       "      <td>4</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "      <td>2021-12-03 00:00:01</td>\n",
       "      <td>2021-03-12</td>\n",
       "      <td>00:00:01</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-12-03</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "      <td>Viernes</td>\n",
       "      <td>264 days 17:17:59.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         fecha original  valor              fecha2  \\\n",
       "fecha1                                                               \n",
       "2021-01-08 20:30:00   1/8/2021 20:30:00      6 2021-08-01 20:30:00   \n",
       "2021-09-15 15:15:13  15/9/2021 15:15:13      5 2021-09-15 15:15:13   \n",
       "2021-03-10 08:10:02  3/10/2021 08:10:02      2 2021-10-03 08:10:02   \n",
       "2021-03-11 23:59:59  3/11/2021 23:59:59      3 2021-11-03 23:59:59   \n",
       "2021-03-12 00:00:01  3/12/2021 00:00:01      4 2021-12-03 00:00:01   \n",
       "\n",
       "                                 fecha3      fecha4      hora  dia  mes   año  \\\n",
       "fecha1                                                                          \n",
       "2021-01-08 20:30:00 2021-08-01 20:30:00  2021-01-08  20:30:00    8    1  2021   \n",
       "2021-09-15 15:15:13 2021-09-15 15:15:13  2021-09-15  15:15:13   15    9  2021   \n",
       "2021-03-10 08:10:02 2021-10-03 08:10:02  2021-03-10  08:10:02   10    3  2021   \n",
       "2021-03-11 23:59:59 2021-11-03 23:59:59  2021-03-11  23:59:59   11    3  2021   \n",
       "2021-03-12 00:00:01 2021-12-03 00:00:01  2021-03-12  00:00:01   12    3  2021   \n",
       "\n",
       "                        fecha5  numSemana  diadelasemana  bisiesto  \\\n",
       "fecha1                                                               \n",
       "2021-01-08 20:30:00 2021-08-01          1              4     False   \n",
       "2021-09-15 15:15:13 2021-09-15         37              2     False   \n",
       "2021-03-10 08:10:02 2021-10-03         10              2     False   \n",
       "2021-03-11 23:59:59 2021-11-03         10              3     False   \n",
       "2021-03-12 00:00:01 2021-12-03         10              4     False   \n",
       "\n",
       "                    nombrediadelasemana                totaldias  totalaños  \n",
       "fecha1                                                                       \n",
       "2021-01-08 20:30:00             Viernes 326 days 20:48:00.398740          0  \n",
       "2021-09-15 15:15:13           Miércoles  77 days 02:02:47.398740          0  \n",
       "2021-03-10 08:10:02           Miércoles 266 days 09:07:58.398740          0  \n",
       "2021-03-11 23:59:59              Jueves 264 days 17:18:01.398740          0  \n",
       "2021-03-12 00:00:01             Viernes 264 days 17:17:59.398740          0  "
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Si ahora quisiéramos obtener los datos del 2021\n",
    "df.loc ['2021']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "accb4665-2a44-4875-bc5c-75bc68661392",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha original</th>\n",
       "      <th>valor</th>\n",
       "      <th>fecha2</th>\n",
       "      <th>fecha3</th>\n",
       "      <th>fecha4</th>\n",
       "      <th>hora</th>\n",
       "      <th>dia</th>\n",
       "      <th>mes</th>\n",
       "      <th>año</th>\n",
       "      <th>fecha5</th>\n",
       "      <th>numSemana</th>\n",
       "      <th>diadelasemana</th>\n",
       "      <th>bisiesto</th>\n",
       "      <th>nombrediadelasemana</th>\n",
       "      <th>totaldias</th>\n",
       "      <th>totalaños</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fecha1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-08 20:30:00</th>\n",
       "      <td>1/8/2021 20:30:00</td>\n",
       "      <td>6</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-01-08</td>\n",
       "      <td>20:30:00</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-08-01</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "      <td>Viernes</td>\n",
       "      <td>326 days 20:48:00.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        fecha original  valor              fecha2  \\\n",
       "fecha1                                                              \n",
       "2021-01-08 20:30:00  1/8/2021 20:30:00      6 2021-08-01 20:30:00   \n",
       "\n",
       "                                 fecha3      fecha4      hora  dia  mes   año  \\\n",
       "fecha1                                                                          \n",
       "2021-01-08 20:30:00 2021-08-01 20:30:00  2021-01-08  20:30:00    8    1  2021   \n",
       "\n",
       "                        fecha5  numSemana  diadelasemana  bisiesto  \\\n",
       "fecha1                                                               \n",
       "2021-01-08 20:30:00 2021-08-01          1              4     False   \n",
       "\n",
       "                    nombrediadelasemana                totaldias  totalaños  \n",
       "fecha1                                                                       \n",
       "2021-01-08 20:30:00             Viernes 326 days 20:48:00.398740          0  "
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc ['2021-01']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "e69ef1f5-7292-411a-9add-88bb3ae36f33",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha original</th>\n",
       "      <th>valor</th>\n",
       "      <th>fecha2</th>\n",
       "      <th>fecha3</th>\n",
       "      <th>fecha4</th>\n",
       "      <th>hora</th>\n",
       "      <th>dia</th>\n",
       "      <th>mes</th>\n",
       "      <th>año</th>\n",
       "      <th>fecha5</th>\n",
       "      <th>numSemana</th>\n",
       "      <th>diadelasemana</th>\n",
       "      <th>bisiesto</th>\n",
       "      <th>nombrediadelasemana</th>\n",
       "      <th>totaldias</th>\n",
       "      <th>totalaños</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fecha1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-08 20:30:00</th>\n",
       "      <td>1/8/2021 20:30:00</td>\n",
       "      <td>6</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-08-01 20:30:00</td>\n",
       "      <td>2021-01-08</td>\n",
       "      <td>20:30:00</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-08-01</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "      <td>Viernes</td>\n",
       "      <td>326 days 20:48:00.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-10 08:10:02</th>\n",
       "      <td>3/10/2021 08:10:02</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-10-03 08:10:02</td>\n",
       "      <td>2021-03-10</td>\n",
       "      <td>08:10:02</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-10-03</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>Miércoles</td>\n",
       "      <td>266 days 09:07:58.398740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         fecha original  valor              fecha2  \\\n",
       "fecha1                                                               \n",
       "2021-01-08 20:30:00   1/8/2021 20:30:00      6 2021-08-01 20:30:00   \n",
       "2021-03-10 08:10:02  3/10/2021 08:10:02      2 2021-10-03 08:10:02   \n",
       "\n",
       "                                 fecha3      fecha4      hora  dia  mes   año  \\\n",
       "fecha1                                                                          \n",
       "2021-01-08 20:30:00 2021-08-01 20:30:00  2021-01-08  20:30:00    8    1  2021   \n",
       "2021-03-10 08:10:02 2021-10-03 08:10:02  2021-03-10  08:10:02   10    3  2021   \n",
       "\n",
       "                        fecha5  numSemana  diadelasemana  bisiesto  \\\n",
       "fecha1                                                               \n",
       "2021-01-08 20:30:00 2021-08-01          1              4     False   \n",
       "2021-03-10 08:10:02 2021-10-03         10              2     False   \n",
       "\n",
       "                    nombrediadelasemana                totaldias  totalaños  \n",
       "fecha1                                                                       \n",
       "2021-01-08 20:30:00             Viernes 326 days 20:48:00.398740          0  \n",
       "2021-03-10 08:10:02           Miércoles 266 days 09:07:58.398740          0  "
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Podemos filtrar por rangos de fechas...  aquí filtramos todos los registros del mes de enero 2021 entre el 1 y el 10 hasta el 3 de octubre de 2021\n",
    "df.loc ['2021-1 1 10':'2021-3-10']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d8f048b-df37-45c5-91db-e7221c30ced6",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
    "## Discretización de variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "id": "6622021e-d111-4937-a9af-848556fc6293",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "clima = pd.read_csv('./data/clima.csv', sep=\";\", decimal=\",\", encoding='UTF-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "82183aac-3c19-4d33-8b37-eccd4ed5209c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha</th>\n",
       "      <th>temperatura</th>\n",
       "      <th>humedad</th>\n",
       "      <th>precipitaciones</th>\n",
       "      <th>viento</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01/01/15</td>\n",
       "      <td>6.10</td>\n",
       "      <td>64.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02/01/15</td>\n",
       "      <td>6.90</td>\n",
       "      <td>66.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>10.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03/01/15</td>\n",
       "      <td>8.20</td>\n",
       "      <td>71.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04/01/15</td>\n",
       "      <td>10.60</td>\n",
       "      <td>79.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05/01/15</td>\n",
       "      <td>9.00</td>\n",
       "      <td>77.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>27/12/15</td>\n",
       "      <td>14.70</td>\n",
       "      <td>41.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>19.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>28/12/15</td>\n",
       "      <td>15.80</td>\n",
       "      <td>52.00</td>\n",
       "      <td>4.30</td>\n",
       "      <td>22.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>29/12/15</td>\n",
       "      <td>14.70</td>\n",
       "      <td>50.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>19.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>30/12/15</td>\n",
       "      <td>16.00</td>\n",
       "      <td>52.00</td>\n",
       "      <td>0.50</td>\n",
       "      <td>27.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>31/12/15</td>\n",
       "      <td>11.50</td>\n",
       "      <td>83.00</td>\n",
       "      <td>2.60</td>\n",
       "      <td>8.90</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>365 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        fecha  temperatura  humedad  precipitaciones  viento\n",
       "0    01/01/15         6.10    64.00             0.00   14.20\n",
       "1    02/01/15         6.90    66.00             0.00   10.40\n",
       "2    03/01/15         8.20    71.00             0.00    9.80\n",
       "3    04/01/15        10.60    79.00             0.00    8.00\n",
       "4    05/01/15         9.00    77.00             0.00   11.10\n",
       "..        ...          ...      ...              ...     ...\n",
       "360  27/12/15        14.70    41.00             0.00   19.00\n",
       "361  28/12/15        15.80    52.00             4.30   22.50\n",
       "362  29/12/15        14.70    50.00             0.00   19.90\n",
       "363  30/12/15        16.00    52.00             0.50   27.60\n",
       "364  31/12/15        11.50    83.00             2.60    8.90\n",
       "\n",
       "[365 rows x 5 columns]"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clima"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "742ec42f-205d-4c15-8e8d-943d27b08802",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Simplifico los nombres de columna\n",
    "clima.columns = ['fecha','temperatura','humedad','precipitaciones','viento']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c6b51cd-cd41-4bef-8043-95046f716f3d",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Las 3 maneras más habituales de segmentar son por: Intervalo, frecuencia y cluster.\n",
    "\n",
    "### **Segmentación por intervalo**\n",
    "### En la segmentación por intervalo, partimos el rango de datos en n partes iguales. El problema principal se encuentra en los Outliers.  Si medimos salarios y resulta que  el 99% de la gente tiene salarios sobre 1000€ y el 1% tiene el salario de Amancio Ortega. Los intervalos tendrán la misma amplitud, pero los outliers estarán en el mismo intervalo o valor.\n",
    "\n",
    "### **Segmentación por frecuencia.**\n",
    "### Cada segmento contiene la misma cantidad de datos.  El rango de cada segmento es variable\n",
    "\n",
    "### **Segmentación por cluster**\n",
    "### Aquí se parte por clusters, busca en los datos cuantos grupos hay.  La herramienta a usar es kmeans (K-Medias)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8c4a8783-f8f7-4bcc-8e18-ee551cc6c25a",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.preproccesing import KBin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "id": "8ed1d888-0232-4cea-ba51-67d60884d224",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dicretización por intervalo:  Discretizamos en 4 intervalos iguales (en rango de datos)\n",
    "clima['hum_int'] = pd.cut(clima['humedad'], 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "id": "fb3d94a2-2de6-4232-874e-383f94c3f5e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha</th>\n",
       "      <th>temperatura</th>\n",
       "      <th>humedad</th>\n",
       "      <th>precipitaciones</th>\n",
       "      <th>viento</th>\n",
       "      <th>hum_int</th>\n",
       "      <th>Prec_int2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01/01/15</td>\n",
       "      <td>6.10</td>\n",
       "      <td>64.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14.20</td>\n",
       "      <td>(50.0, 74.0]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02/01/15</td>\n",
       "      <td>6.90</td>\n",
       "      <td>66.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>10.40</td>\n",
       "      <td>(50.0, 74.0]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03/01/15</td>\n",
       "      <td>8.20</td>\n",
       "      <td>71.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.80</td>\n",
       "      <td>(50.0, 74.0]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04/01/15</td>\n",
       "      <td>10.60</td>\n",
       "      <td>79.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.00</td>\n",
       "      <td>(74.0, 98.0]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05/01/15</td>\n",
       "      <td>9.00</td>\n",
       "      <td>77.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11.10</td>\n",
       "      <td>(74.0, 98.0]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>27/12/15</td>\n",
       "      <td>14.70</td>\n",
       "      <td>41.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>19.00</td>\n",
       "      <td>(25.928, 50.0]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>28/12/15</td>\n",
       "      <td>15.80</td>\n",
       "      <td>52.00</td>\n",
       "      <td>4.30</td>\n",
       "      <td>22.50</td>\n",
       "      <td>(50.0, 74.0]</td>\n",
       "      <td>(0.0, 26.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>29/12/15</td>\n",
       "      <td>14.70</td>\n",
       "      <td>50.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>19.90</td>\n",
       "      <td>(25.928, 50.0]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>30/12/15</td>\n",
       "      <td>16.00</td>\n",
       "      <td>52.00</td>\n",
       "      <td>0.50</td>\n",
       "      <td>27.60</td>\n",
       "      <td>(50.0, 74.0]</td>\n",
       "      <td>(0.0, 26.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>31/12/15</td>\n",
       "      <td>11.50</td>\n",
       "      <td>83.00</td>\n",
       "      <td>2.60</td>\n",
       "      <td>8.90</td>\n",
       "      <td>(74.0, 98.0]</td>\n",
       "      <td>(0.0, 26.0]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>365 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        fecha  temperatura  humedad  precipitaciones  viento         hum_int  \\\n",
       "0    01/01/15         6.10    64.00             0.00   14.20    (50.0, 74.0]   \n",
       "1    02/01/15         6.90    66.00             0.00   10.40    (50.0, 74.0]   \n",
       "2    03/01/15         8.20    71.00             0.00    9.80    (50.0, 74.0]   \n",
       "3    04/01/15        10.60    79.00             0.00    8.00    (74.0, 98.0]   \n",
       "4    05/01/15         9.00    77.00             0.00   11.10    (74.0, 98.0]   \n",
       "..        ...          ...      ...              ...     ...             ...   \n",
       "360  27/12/15        14.70    41.00             0.00   19.00  (25.928, 50.0]   \n",
       "361  28/12/15        15.80    52.00             4.30   22.50    (50.0, 74.0]   \n",
       "362  29/12/15        14.70    50.00             0.00   19.90  (25.928, 50.0]   \n",
       "363  30/12/15        16.00    52.00             0.50   27.60    (50.0, 74.0]   \n",
       "364  31/12/15        11.50    83.00             2.60    8.90    (74.0, 98.0]   \n",
       "\n",
       "       Prec_int2  \n",
       "0            NaN  \n",
       "1            NaN  \n",
       "2            NaN  \n",
       "3            NaN  \n",
       "4            NaN  \n",
       "..           ...  \n",
       "360          NaN  \n",
       "361  (0.0, 26.0]  \n",
       "362          NaN  \n",
       "363  (0.0, 26.0]  \n",
       "364  (0.0, 26.0]  \n",
       "\n",
       "[365 rows x 7 columns]"
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clima"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "id": "a76ec5e0-6080-40c9-b60b-04e3a1c5576d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count   358.00\n",
       "mean     72.00\n",
       "std      12.01\n",
       "min      26.00\n",
       "25%      66.00\n",
       "50%      74.00\n",
       "75%      80.00\n",
       "max      98.00\n",
       "Name: humedad, dtype: float64"
      ]
     },
     "execution_count": 215,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Un caso específico sería hacer una discretización en base a los intervalos que queramos. Me voy a basar en los cuartiles para ello.\n",
    "clima.humedad.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "id": "e6e9e301-94cc-467c-8d6a-c17656f4f28d",
   "metadata": {},
   "outputs": [],
   "source": [
    "clima['hum_int2'] = pd.cut(clima['humedad'], bins=[0,26,74,80,98])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "id": "0b5213ab-33dc-424d-9949-d3446a398b22",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha</th>\n",
       "      <th>temperatura</th>\n",
       "      <th>humedad</th>\n",
       "      <th>precipitaciones</th>\n",
       "      <th>viento</th>\n",
       "      <th>hum_int</th>\n",
       "      <th>hum_int2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01/01/15</td>\n",
       "      <td>6.10</td>\n",
       "      <td>64.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14.20</td>\n",
       "      <td>(62.0, 80.0]</td>\n",
       "      <td>(26, 74]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02/01/15</td>\n",
       "      <td>6.90</td>\n",
       "      <td>66.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>10.40</td>\n",
       "      <td>(62.0, 80.0]</td>\n",
       "      <td>(26, 74]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03/01/15</td>\n",
       "      <td>8.20</td>\n",
       "      <td>71.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.80</td>\n",
       "      <td>(62.0, 80.0]</td>\n",
       "      <td>(26, 74]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04/01/15</td>\n",
       "      <td>10.60</td>\n",
       "      <td>79.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.00</td>\n",
       "      <td>(62.0, 80.0]</td>\n",
       "      <td>(74, 80]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05/01/15</td>\n",
       "      <td>9.00</td>\n",
       "      <td>77.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11.10</td>\n",
       "      <td>(62.0, 80.0]</td>\n",
       "      <td>(74, 80]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>27/12/15</td>\n",
       "      <td>14.70</td>\n",
       "      <td>41.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>19.00</td>\n",
       "      <td>(25.928, 44.0]</td>\n",
       "      <td>(26, 74]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>28/12/15</td>\n",
       "      <td>15.80</td>\n",
       "      <td>52.00</td>\n",
       "      <td>4.30</td>\n",
       "      <td>22.50</td>\n",
       "      <td>(44.0, 62.0]</td>\n",
       "      <td>(26, 74]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>29/12/15</td>\n",
       "      <td>14.70</td>\n",
       "      <td>50.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>19.90</td>\n",
       "      <td>(44.0, 62.0]</td>\n",
       "      <td>(26, 74]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>30/12/15</td>\n",
       "      <td>16.00</td>\n",
       "      <td>52.00</td>\n",
       "      <td>0.50</td>\n",
       "      <td>27.60</td>\n",
       "      <td>(44.0, 62.0]</td>\n",
       "      <td>(26, 74]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>31/12/15</td>\n",
       "      <td>11.50</td>\n",
       "      <td>83.00</td>\n",
       "      <td>2.60</td>\n",
       "      <td>8.90</td>\n",
       "      <td>(80.0, 98.0]</td>\n",
       "      <td>(80, 98]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>365 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        fecha  temperatura  humedad  precipitaciones  viento         hum_int  \\\n",
       "0    01/01/15         6.10    64.00             0.00   14.20    (62.0, 80.0]   \n",
       "1    02/01/15         6.90    66.00             0.00   10.40    (62.0, 80.0]   \n",
       "2    03/01/15         8.20    71.00             0.00    9.80    (62.0, 80.0]   \n",
       "3    04/01/15        10.60    79.00             0.00    8.00    (62.0, 80.0]   \n",
       "4    05/01/15         9.00    77.00             0.00   11.10    (62.0, 80.0]   \n",
       "..        ...          ...      ...              ...     ...             ...   \n",
       "360  27/12/15        14.70    41.00             0.00   19.00  (25.928, 44.0]   \n",
       "361  28/12/15        15.80    52.00             4.30   22.50    (44.0, 62.0]   \n",
       "362  29/12/15        14.70    50.00             0.00   19.90    (44.0, 62.0]   \n",
       "363  30/12/15        16.00    52.00             0.50   27.60    (44.0, 62.0]   \n",
       "364  31/12/15        11.50    83.00             2.60    8.90    (80.0, 98.0]   \n",
       "\n",
       "     hum_int2  \n",
       "0    (26, 74]  \n",
       "1    (26, 74]  \n",
       "2    (26, 74]  \n",
       "3    (74, 80]  \n",
       "4    (74, 80]  \n",
       "..        ...  \n",
       "360  (26, 74]  \n",
       "361  (26, 74]  \n",
       "362  (26, 74]  \n",
       "363  (26, 74]  \n",
       "364  (80, 98]  \n",
       "\n",
       "[365 rows x 7 columns]"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clima"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ec99f53-4942-4a7e-b24b-050548ca1055",
   "metadata": {},
   "source": [
    "# Probad vosotros a discretizar la variable precipitaciones, usando los mismos cortes que en este ejemplo.  ¿Qué sucede?\n",
    "Mirar la ayuda de pandas\n",
    "https://pandas.pydata.org/docs/reference/api/pandas.cut.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "id": "fe67ad74-df2c-4e10-91fc-b3474d026ab3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Incluso añadir etiquetas a los intervalos\n",
    "clima['hum_int2'] = pd.cut(clima['humedad'], bins=[0,26,74,80,98], include_lowest=True, labels=['1er Int','2do Int', '3er Int', '4o Int'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "id": "176a3a67-a195-491b-9e35-63186940e770",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dicretización por frecuencia:  Discretizamos en 4 intervalos iguales (en rango de datos).  Este caso coje los cuartiles que obtenemos en .describe.  q puede coger el valor que queramos.\n",
    "clima['hum_frec'] = pd.qcut(clima['humedad'], q=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "id": "69afdb9d-a2c4-47d8-a364-0b121933f3e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha</th>\n",
       "      <th>temperatura</th>\n",
       "      <th>humedad</th>\n",
       "      <th>precipitaciones</th>\n",
       "      <th>viento</th>\n",
       "      <th>hum_int</th>\n",
       "      <th>hum_int2</th>\n",
       "      <th>Prec_frec</th>\n",
       "      <th>hum_frec</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01/01/15</td>\n",
       "      <td>6.10</td>\n",
       "      <td>64.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14.20</td>\n",
       "      <td>(62.0, 80.0]</td>\n",
       "      <td>2do Int</td>\n",
       "      <td>(-0.001, 2.2]</td>\n",
       "      <td>(25.999, 66.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02/01/15</td>\n",
       "      <td>6.90</td>\n",
       "      <td>66.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>10.40</td>\n",
       "      <td>(62.0, 80.0]</td>\n",
       "      <td>2do Int</td>\n",
       "      <td>(-0.001, 2.2]</td>\n",
       "      <td>(25.999, 66.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03/01/15</td>\n",
       "      <td>8.20</td>\n",
       "      <td>71.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.80</td>\n",
       "      <td>(62.0, 80.0]</td>\n",
       "      <td>2do Int</td>\n",
       "      <td>(-0.001, 2.2]</td>\n",
       "      <td>(66.0, 74.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04/01/15</td>\n",
       "      <td>10.60</td>\n",
       "      <td>79.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.00</td>\n",
       "      <td>(62.0, 80.0]</td>\n",
       "      <td>3er Int</td>\n",
       "      <td>(-0.001, 2.2]</td>\n",
       "      <td>(74.0, 80.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05/01/15</td>\n",
       "      <td>9.00</td>\n",
       "      <td>77.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11.10</td>\n",
       "      <td>(62.0, 80.0]</td>\n",
       "      <td>3er Int</td>\n",
       "      <td>(-0.001, 2.2]</td>\n",
       "      <td>(74.0, 80.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>27/12/15</td>\n",
       "      <td>14.70</td>\n",
       "      <td>41.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>19.00</td>\n",
       "      <td>(25.928, 44.0]</td>\n",
       "      <td>2do Int</td>\n",
       "      <td>(-0.001, 2.2]</td>\n",
       "      <td>(25.999, 66.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>28/12/15</td>\n",
       "      <td>15.80</td>\n",
       "      <td>52.00</td>\n",
       "      <td>4.30</td>\n",
       "      <td>22.50</td>\n",
       "      <td>(44.0, 62.0]</td>\n",
       "      <td>2do Int</td>\n",
       "      <td>(2.2, 77.2]</td>\n",
       "      <td>(25.999, 66.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>29/12/15</td>\n",
       "      <td>14.70</td>\n",
       "      <td>50.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>19.90</td>\n",
       "      <td>(44.0, 62.0]</td>\n",
       "      <td>2do Int</td>\n",
       "      <td>(-0.001, 2.2]</td>\n",
       "      <td>(25.999, 66.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>30/12/15</td>\n",
       "      <td>16.00</td>\n",
       "      <td>52.00</td>\n",
       "      <td>0.50</td>\n",
       "      <td>27.60</td>\n",
       "      <td>(44.0, 62.0]</td>\n",
       "      <td>2do Int</td>\n",
       "      <td>(-0.001, 2.2]</td>\n",
       "      <td>(25.999, 66.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>31/12/15</td>\n",
       "      <td>11.50</td>\n",
       "      <td>83.00</td>\n",
       "      <td>2.60</td>\n",
       "      <td>8.90</td>\n",
       "      <td>(80.0, 98.0]</td>\n",
       "      <td>4o Int</td>\n",
       "      <td>(2.2, 77.2]</td>\n",
       "      <td>(80.0, 98.0]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>365 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        fecha  temperatura  humedad  precipitaciones  viento         hum_int  \\\n",
       "0    01/01/15         6.10    64.00             0.00   14.20    (62.0, 80.0]   \n",
       "1    02/01/15         6.90    66.00             0.00   10.40    (62.0, 80.0]   \n",
       "2    03/01/15         8.20    71.00             0.00    9.80    (62.0, 80.0]   \n",
       "3    04/01/15        10.60    79.00             0.00    8.00    (62.0, 80.0]   \n",
       "4    05/01/15         9.00    77.00             0.00   11.10    (62.0, 80.0]   \n",
       "..        ...          ...      ...              ...     ...             ...   \n",
       "360  27/12/15        14.70    41.00             0.00   19.00  (25.928, 44.0]   \n",
       "361  28/12/15        15.80    52.00             4.30   22.50    (44.0, 62.0]   \n",
       "362  29/12/15        14.70    50.00             0.00   19.90    (44.0, 62.0]   \n",
       "363  30/12/15        16.00    52.00             0.50   27.60    (44.0, 62.0]   \n",
       "364  31/12/15        11.50    83.00             2.60    8.90    (80.0, 98.0]   \n",
       "\n",
       "    hum_int2      Prec_frec        hum_frec  \n",
       "0    2do Int  (-0.001, 2.2]  (25.999, 66.0]  \n",
       "1    2do Int  (-0.001, 2.2]  (25.999, 66.0]  \n",
       "2    2do Int  (-0.001, 2.2]    (66.0, 74.0]  \n",
       "3    3er Int  (-0.001, 2.2]    (74.0, 80.0]  \n",
       "4    3er Int  (-0.001, 2.2]    (74.0, 80.0]  \n",
       "..       ...            ...             ...  \n",
       "360  2do Int  (-0.001, 2.2]  (25.999, 66.0]  \n",
       "361  2do Int    (2.2, 77.2]  (25.999, 66.0]  \n",
       "362  2do Int  (-0.001, 2.2]  (25.999, 66.0]  \n",
       "363  2do Int  (-0.001, 2.2]  (25.999, 66.0]  \n",
       "364   4o Int    (2.2, 77.2]    (80.0, 98.0]  \n",
       "\n",
       "[365 rows x 9 columns]"
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clima"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "id": "2acac65c-7a2f-4841-8e89-56206eedca4f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(62.0, 80.0]      204\n",
      "(80.0, 98.0]       87\n",
      "(44.0, 62.0]       57\n",
      "(25.928, 44.0]     10\n",
      "Name: hum_int, dtype: int64\n",
      "2do Int    179\n",
      "3er Int     91\n",
      "4o Int      87\n",
      "1er Int      1\n",
      "Name: hum_int2, dtype: int64\n",
      "(25.999, 66.0]    95\n",
      "(74.0, 80.0]      91\n",
      "(80.0, 98.0]      87\n",
      "(66.0, 74.0]      85\n",
      "Name: hum_frec, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print (pd.value_counts(clima.hum_int))\n",
    "print (pd.value_counts(clima.hum_int2))\n",
    "print (pd.value_counts(clima.hum_frec))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4eaa2001-9c79-4ab9-ae7c-9341943a0054",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "2e3ede4c-6f01-4f28-ba8d-c787c46cead8",
   "metadata": {},
   "source": [
    "3 tipos de discretización:\n",
    "* Intervalo (igual ancho para todos los segmentos)\n",
    "* Frecuencia (igual frecuencia de aparición de elementos en los segmentos)\n",
    "* Cluster (discretización en base al algoritmo KMeans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "226d3cf8-ef66-45d5-99e3-e7f548a05ae6",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install feature_engine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ee99f185-90c1-4257-af50-c5ed4e3a631c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import KBinsDiscretizer\n",
    "from feature_engine.discretisation import EqualWidthDiscretiser"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "690ffcf5-e195-4bef-a1a1-5dd773f0f3ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "clima = pd.read_csv('./data/clima.csv', sep=';', decimal=',')\n",
    "clima"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4fc50ac5-cc8c-4f44-9a71-e07a7d650746",
   "metadata": {},
   "outputs": [],
   "source": [
    "intervalo = EqualWidthDiscretiser(bins=3, variables=['Precipitaciones'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10302556-3cf1-45de-9ca4-88fef5b918b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "intervalo.fit(clima)\n",
    "transformado = intervalo.transform(clima)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22fc0710-c43d-44e1-bfd2-e9a10b6a08c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "transformado"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}