python-csv-covid19-pandas.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Covid 19 - TIA Zonas Básicas de Salud Alcobendas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Este notebook tiene como objetivo la creación de una historia a partir del análisis y visualización de un conjunto de datos. El seleccionado ofrece información epidemiológica del Covid - 19: los **casos confirmados y tasas de incidencia acumulada (TIA) para población de 60 y más años de edad del municipio de Alcobendas**. Para ello, nos serviremos de un **Informe semanal en formato CSV** con datos para la población de 60 y más años de edad de casos confirmados y tasas de incidencia acumulada de los **últimos 14 días y desde el inicio de la pandemia** hasta el 29 de marzo. La fuente de los datos es *Red de Vigilancia Epidemiológica de la Comunidad de Madrid*. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**NOTA**: el archivo recoge los datos pertinentes hasta su fecha de publicación, a saber, el **29 de marzo de 2022**. Todas las categorías de datos son correspondientes hasta esa fecha, por ejemplo *incidencia acumulada en los últimos 14 días* y similares. Es necesairo tener esto en cuenta a la hora de leer e interpretar los datos ya que no siempre que se haga referencia a la temporalidad podrá ser esto indicado, por lo que téngase en cuenta implícitamente en el resto del documento desde este párrafo."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preparación de librería"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En primer lugar, necesitamos instalar la librería **Pandas**, una biblioteca de software escrita como extensión de NumPy para **manipulación y análisis de datos para el lenguaje de programación Python**. Sus estructuras de datos y operaciones nos permitirán manipular tablas numéricas y series temporales, interesante para trabajar con nuestro conjunto de datos (CSV). Para ello `!pip install ()`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pandas in /usr/local/lib/python3.8/dist-packages (1.3.1)\r\n",
      "Requirement already satisfied: numpy>=1.17.3 in /usr/local/lib/python3.8/dist-packages (from pandas) (1.21.1)\r\n",
      "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas) (2020.4)\r\n",
      "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas) (2.8.1)\r\n",
      "Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.7.3->pandas) (1.14.0)\r\n"
     ]
    }
   ],
   "source": [
    "!pip install pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En segundo lugar, una vez instalada, procedemos a configurarla. La hemos instalado, pero necesitamos importarla para trabajar con su lenguaje en este documento. Lo hacemos con la abreviación `pd` de la siguiente manera:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Definición de  variable "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Una vez tenemos preparada la librería, en tercer lugar, debemos decirle a Python cuáles son los datos con los que vamos a trabajar. En este caso se trata de un archivo **CSV**. El nombre que daremos a esta variable será `url` puesto que es el link del archivo CSV, extraído de los conjuntos de datos abiertos facilitados por el gobierno. Lo hacemos con el signo `=` para generar la variable y las `\"\"` para indicar que se trata de un link."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = \"https://datos.alcobendas.org/dataset/e841a91e-a7d8-4bd8-977c-f842169cd04e/resource/be4732de-a69a-48c2-849a-be8130a9f64f/download/recurso.csv\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creación de dataframe "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En cuarto lugar, una vez tenemos preparadas la librería y la variable con las que vamos a trabajar necesitamos traer los datos al presente cuaderno para proceder a su análisis y manipulación de presentación. Lo hacemos creando una tabla, denominada *dataframe*, que nos mostrará los datos en bruto en forma de tabla con los que vamos a trabajar."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para ello necesitamos que Pandas lea los datos de la variable definida. Utilizamos la siguiente función que nos ofrece la librería: `pd.read_csv`(archivo). Creamos una variable denominada Dataframe *(df)* con los datos del archivo CSV contenidos en la varible *url*, leídos a través de la función recién mencionada para poder referirnos a ella en el resto del documento. El resultado de esta sintaxis es el siguiente:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Zona básica de salud</th>\n",
       "      <th>fecha informe</th>\n",
       "      <th>Casos confirmados en los ultimos 14 días</th>\n",
       "      <th>Tasa de incidencia acumulada en los últimos 14 días</th>\n",
       "      <th>Tasa incidencia acumulada activos ultimos 14dias</th>\n",
       "      <th>Casos confirmados totales</th>\n",
       "      <th>Tasa de incidencia acumulada total</th>\n",
       "      <th>Casos confirmados activos ultimos 14dias</th>\n",
       "      <th>Código geometría</th>\n",
       "      <th>Unnamed: 9</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alcobendas - Chopera</td>\n",
       "      <td>2022/03/29 11:51:00</td>\n",
       "      <td>50.0</td>\n",
       "      <td>177.59</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7715.0</td>\n",
       "      <td>27401.88</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>La Moraleja</td>\n",
       "      <td>2022/03/29 11:51:00</td>\n",
       "      <td>66.0</td>\n",
       "      <td>275.59</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5911.0</td>\n",
       "      <td>24681.62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Marqués de la Valdavia</td>\n",
       "      <td>2022/03/29 11:51:00</td>\n",
       "      <td>55.0</td>\n",
       "      <td>309.53</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4181.0</td>\n",
       "      <td>23529.74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>160</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Miraflores</td>\n",
       "      <td>2022/03/29 11:51:00</td>\n",
       "      <td>41.0</td>\n",
       "      <td>185.49</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5940.0</td>\n",
       "      <td>26872.96</td>\n",
       "      <td>NaN</td>\n",
       "      <td>172</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Valdelasfuentes</td>\n",
       "      <td>2022/03/29 11:51:00</td>\n",
       "      <td>65.0</td>\n",
       "      <td>245.84</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5948.0</td>\n",
       "      <td>22496.22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>262</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1085</th>\n",
       "      <td>Alcobendas - Chopera</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1086</th>\n",
       "      <td>La Moraleja</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1087</th>\n",
       "      <td>Marqués de la Valdavia</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>160</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1088</th>\n",
       "      <td>Miraflores</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>172</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1089</th>\n",
       "      <td>Valdelasfuentes</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>262</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1090 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Zona básica de salud        fecha informe  \\\n",
       "0       Alcobendas - Chopera  2022/03/29 11:51:00   \n",
       "1                La Moraleja  2022/03/29 11:51:00   \n",
       "2     Marqués de la Valdavia  2022/03/29 11:51:00   \n",
       "3                 Miraflores  2022/03/29 11:51:00   \n",
       "4            Valdelasfuentes  2022/03/29 11:51:00   \n",
       "...                      ...                  ...   \n",
       "1085    Alcobendas - Chopera  2020/02/26 07:00:00   \n",
       "1086             La Moraleja  2020/02/26 07:00:00   \n",
       "1087  Marqués de la Valdavia  2020/02/26 07:00:00   \n",
       "1088              Miraflores  2020/02/26 07:00:00   \n",
       "1089         Valdelasfuentes  2020/02/26 07:00:00   \n",
       "\n",
       "      Casos confirmados en los ultimos 14 días  \\\n",
       "0                                         50.0   \n",
       "1                                         66.0   \n",
       "2                                         55.0   \n",
       "3                                         41.0   \n",
       "4                                         65.0   \n",
       "...                                        ...   \n",
       "1085                                       NaN   \n",
       "1086                                       NaN   \n",
       "1087                                       NaN   \n",
       "1088                                       NaN   \n",
       "1089                                       NaN   \n",
       "\n",
       "      Tasa de incidencia acumulada en los últimos 14 días  \\\n",
       "0                                                177.59     \n",
       "1                                                275.59     \n",
       "2                                                309.53     \n",
       "3                                                185.49     \n",
       "4                                                245.84     \n",
       "...                                                 ...     \n",
       "1085                                               0.00     \n",
       "1086                                               0.00     \n",
       "1087                                               0.00     \n",
       "1088                                               0.00     \n",
       "1089                                               0.00     \n",
       "\n",
       "      Tasa incidencia acumulada activos ultimos 14dias  \\\n",
       "0                                                  NaN   \n",
       "1                                                  NaN   \n",
       "2                                                  NaN   \n",
       "3                                                  NaN   \n",
       "4                                                  NaN   \n",
       "...                                                ...   \n",
       "1085                                               NaN   \n",
       "1086                                               NaN   \n",
       "1087                                               NaN   \n",
       "1088                                               NaN   \n",
       "1089                                               NaN   \n",
       "\n",
       "      Casos confirmados totales  Tasa de incidencia acumulada total  \\\n",
       "0                        7715.0                            27401.88   \n",
       "1                        5911.0                            24681.62   \n",
       "2                        4181.0                            23529.74   \n",
       "3                        5940.0                            26872.96   \n",
       "4                        5948.0                            22496.22   \n",
       "...                         ...                                 ...   \n",
       "1085                        NaN                                0.00   \n",
       "1086                        NaN                                0.00   \n",
       "1087                        NaN                                0.00   \n",
       "1088                        NaN                                0.00   \n",
       "1089                        NaN                                0.00   \n",
       "\n",
       "      Casos confirmados activos ultimos 14dias  Código geometría  Unnamed: 9  \n",
       "0                                          NaN                 8         NaN  \n",
       "1                                          NaN               125         NaN  \n",
       "2                                          NaN               160         NaN  \n",
       "3                                          NaN               172         NaN  \n",
       "4                                          NaN               262         NaN  \n",
       "...                                        ...               ...         ...  \n",
       "1085                                       NaN                 8         NaN  \n",
       "1086                                       NaN               125         NaN  \n",
       "1087                                       NaN               160         NaN  \n",
       "1088                                       NaN               172         NaN  \n",
       "1089                                       NaN               262         NaN  \n",
       "\n",
       "[1090 rows x 10 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(url)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Este dataframe supone un primer acercamiento a los datos pero es insuficiente para su comprensión. Apreciamos que contiene **1090 filas**, a saber, zonas básicas de salud del Ayuntamiento de Alcobendas, de las que nos muestra las 5 primeras y las 5 últimas. De cada una de ellas nos presenta en las **10 columnas** una serie de datos. De su visualización podemos decidir qué categorías nos resultan pertinentes para nuestra historia: **casos confirmados**, **tasa de incidencia acumulada en los últimos 14 días**, los **casos confirmados totales** y la **tasa de incidencia acumulada total** de las personas de 60 años de edad en adelante desde el inicio de la pandemia hasta el 29 de marzo de este año. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploración del dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Al Dataframe (*df*) le ponemos el `.` para aplicarle una función. Comenzamos por lo elemental. La función `.info` nos explica qué hay en el dataframe *(df)* por categorías."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1090 entries, 0 to 1089\n",
      "Data columns (total 10 columns):\n",
      " #   Column                                               Non-Null Count  Dtype  \n",
      "---  ------                                               --------------  -----  \n",
      " 0   Zona básica de salud                                 1090 non-null   object \n",
      " 1   fecha informe                                        1090 non-null   object \n",
      " 2   Casos confirmados en los ultimos 14 días             766 non-null    float64\n",
      " 3   Tasa de incidencia acumulada en los últimos 14 días  1090 non-null   float64\n",
      " 4   Tasa incidencia acumulada activos ultimos 14dias     70 non-null     float64\n",
      " 5   Casos confirmados totales                            1005 non-null   float64\n",
      " 6   Tasa de incidencia acumulada total                   1090 non-null   float64\n",
      " 7   Casos confirmados activos ultimos 14dias             47 non-null     float64\n",
      " 8   Código geometría                                     1090 non-null   int64  \n",
      " 9   Unnamed: 9                                           0 non-null      float64\n",
      "dtypes: float64(7), int64(1), object(2)\n",
      "memory usage: 85.3+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Si queremos conocer de manera exclusiva las columnas que tiene nuestra tabla ponemos `df.columns`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Zona básica de salud', 'fecha informe',\n",
       "       'Casos confirmados en los ultimos 14 días',\n",
       "       'Tasa de incidencia acumulada en los últimos 14 días',\n",
       "       'Tasa incidencia acumulada activos ultimos 14dias',\n",
       "       'Casos confirmados totales', 'Tasa de incidencia acumulada total',\n",
       "       'Casos confirmados activos ultimos 14dias', 'Código geometría',\n",
       "       'Unnamed: 9'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Al visualizar el contenido de esta manera resulta más fácil la selección anteriormente realizada de las categorías que nos interesan."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Si queremos centrarnos en los valores numéricos utilizamos la función `.describe()`, que nos ofrece el recuento de los datos que queramos, la media, la mínima la desviación típica...etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Casos confirmados en los ultimos 14 días</th>\n",
       "      <th>Tasa de incidencia acumulada en los últimos 14 días</th>\n",
       "      <th>Tasa incidencia acumulada activos ultimos 14dias</th>\n",
       "      <th>Casos confirmados totales</th>\n",
       "      <th>Tasa de incidencia acumulada total</th>\n",
       "      <th>Casos confirmados activos ultimos 14dias</th>\n",
       "      <th>Código geometría</th>\n",
       "      <th>Unnamed: 9</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>766.000000</td>\n",
       "      <td>1090.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>1005.000000</td>\n",
       "      <td>1090.000000</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>1090.000000</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>78.788512</td>\n",
       "      <td>236.630182</td>\n",
       "      <td>61.387857</td>\n",
       "      <td>1318.079602</td>\n",
       "      <td>5126.218176</td>\n",
       "      <td>20.851064</td>\n",
       "      <td>145.400000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>114.282643</td>\n",
       "      <td>424.133672</td>\n",
       "      <td>66.150610</td>\n",
       "      <td>1745.291517</td>\n",
       "      <td>7034.369654</td>\n",
       "      <td>16.318806</td>\n",
       "      <td>82.270588</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>20.000000</td>\n",
       "      <td>16.835000</td>\n",
       "      <td>15.210000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>518.865000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>125.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>41.000000</td>\n",
       "      <td>92.530000</td>\n",
       "      <td>37.940000</td>\n",
       "      <td>182.000000</td>\n",
       "      <td>727.725000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>160.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>80.750000</td>\n",
       "      <td>244.277500</td>\n",
       "      <td>89.792500</td>\n",
       "      <td>2392.000000</td>\n",
       "      <td>10074.802500</td>\n",
       "      <td>27.500000</td>\n",
       "      <td>172.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>931.000000</td>\n",
       "      <td>3583.060000</td>\n",
       "      <td>292.970000</td>\n",
       "      <td>7715.000000</td>\n",
       "      <td>27401.880000</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>262.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Casos confirmados en los ultimos 14 días  \\\n",
       "count                                766.000000   \n",
       "mean                                  78.788512   \n",
       "std                                  114.282643   \n",
       "min                                    5.000000   \n",
       "25%                                   20.000000   \n",
       "50%                                   41.000000   \n",
       "75%                                   80.750000   \n",
       "max                                  931.000000   \n",
       "\n",
       "       Tasa de incidencia acumulada en los últimos 14 días  \\\n",
       "count                                        1090.000000     \n",
       "mean                                          236.630182     \n",
       "std                                           424.133672     \n",
       "min                                             0.000000     \n",
       "25%                                            16.835000     \n",
       "50%                                            92.530000     \n",
       "75%                                           244.277500     \n",
       "max                                          3583.060000     \n",
       "\n",
       "       Tasa incidencia acumulada activos ultimos 14dias  \\\n",
       "count                                         70.000000   \n",
       "mean                                          61.387857   \n",
       "std                                           66.150610   \n",
       "min                                            0.000000   \n",
       "25%                                           15.210000   \n",
       "50%                                           37.940000   \n",
       "75%                                           89.792500   \n",
       "max                                          292.970000   \n",
       "\n",
       "       Casos confirmados totales  Tasa de incidencia acumulada total  \\\n",
       "count                1005.000000                         1090.000000   \n",
       "mean                 1318.079602                         5126.218176   \n",
       "std                  1745.291517                         7034.369654   \n",
       "min                     6.000000                            0.000000   \n",
       "25%                   120.000000                          518.865000   \n",
       "50%                   182.000000                          727.725000   \n",
       "75%                  2392.000000                        10074.802500   \n",
       "max                  7715.000000                        27401.880000   \n",
       "\n",
       "       Casos confirmados activos ultimos 14dias  Código geometría  Unnamed: 9  \n",
       "count                                 47.000000       1090.000000         0.0  \n",
       "mean                                  20.851064        145.400000         NaN  \n",
       "std                                   16.318806         82.270588         NaN  \n",
       "min                                    5.000000          8.000000         NaN  \n",
       "25%                                    9.000000        125.000000         NaN  \n",
       "50%                                   16.000000        160.000000         NaN  \n",
       "75%                                   27.500000        172.000000         NaN  \n",
       "max                                   78.000000        262.000000         NaN  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Así, podemos saber que en el municipio de Alcobendas hubo **766 casos** de Covid-19 confirmados de personas iguales o mayores de 60 años en los últimos 14 días de marzo y un total de **1.005.000** desde el inicio de la pandemia."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**NOTA**: es necesario puntualizar que, dado que los datos son acumulados, el recuento de los mismos no es fidedigno. Como se mostrará posteriormente al sumar individualmente las etiquetas que seleccionemos, el total de contagios en los dos años en Alcobendas para las personas iguales o mayores de 60 años es de **29.695** y en los últimos 14 días de **277 casos**."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para conocer las primeras zonas sanitariarias de Alcobendas que presenta la tabla, utilizamos la función `.head`. Para conocer las últimas, nos servimos de la función `.tail`. A continuación especificamos entreparéntesis *()* el número de zonas que queremos visualizar. En este caso indicamos 10 para tener más información que la que mostraba la visualización del dataframe y tener una mayor amplitud de visión sobre los datos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Zona básica de salud</th>\n",
       "      <th>fecha informe</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alcobendas - Chopera</td>\n",
       "      <td>2022/03/29 11:51:00</td>\n",
       "      <td>50.0</td>\n",
       "      <td>177.59</td>\n",
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       "      <td>7715.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>24681.62</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>55.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>4181.0</td>\n",
       "      <td>23529.74</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>3</th>\n",
       "      <td>Miraflores</td>\n",
       "      <td>2022/03/29 11:51:00</td>\n",
       "      <td>41.0</td>\n",
       "      <td>185.49</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5940.0</td>\n",
       "      <td>26872.96</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>4</th>\n",
       "      <td>Valdelasfuentes</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>5948.0</td>\n",
       "      <td>22496.22</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>5</th>\n",
       "      <td>Alcobendas - Chopera</td>\n",
       "      <td>2022/03/22 10:36:00</td>\n",
       "      <td>41.0</td>\n",
       "      <td>145.62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7685.0</td>\n",
       "      <td>27295.33</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>6</th>\n",
       "      <td>La Moraleja</td>\n",
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       "      <td>57.0</td>\n",
       "      <td>238.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5870.0</td>\n",
       "      <td>24510.42</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>Marqués de la Valdavia</td>\n",
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       "      <td>37.0</td>\n",
       "      <td>208.23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4146.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>8</th>\n",
       "      <td>Miraflores</td>\n",
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       "      <td>37.0</td>\n",
       "      <td>167.39</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5918.0</td>\n",
       "      <td>26773.43</td>\n",
       "      <td>NaN</td>\n",
       "      <td>172</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>9</th>\n",
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       "      <td>5916.0</td>\n",
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       "     Zona básica de salud        fecha informe  \\\n",
       "0    Alcobendas - Chopera  2022/03/29 11:51:00   \n",
       "1             La Moraleja  2022/03/29 11:51:00   \n",
       "2  Marqués de la Valdavia  2022/03/29 11:51:00   \n",
       "3              Miraflores  2022/03/29 11:51:00   \n",
       "4         Valdelasfuentes  2022/03/29 11:51:00   \n",
       "5    Alcobendas - Chopera  2022/03/22 10:36:00   \n",
       "6             La Moraleja  2022/03/22 10:36:00   \n",
       "7  Marqués de la Valdavia  2022/03/22 10:36:00   \n",
       "8              Miraflores  2022/03/22 10:36:00   \n",
       "9         Valdelasfuentes  2022/03/22 10:36:00   \n",
       "\n",
       "   Casos confirmados en los ultimos 14 días  \\\n",
       "0                                      50.0   \n",
       "1                                      66.0   \n",
       "2                                      55.0   \n",
       "3                                      41.0   \n",
       "4                                      65.0   \n",
       "5                                      41.0   \n",
       "6                                      57.0   \n",
       "7                                      37.0   \n",
       "8                                      37.0   \n",
       "9                                      68.0   \n",
       "\n",
       "   Tasa de incidencia acumulada en los últimos 14 días  \\\n",
       "0                                             177.59     \n",
       "1                                             275.59     \n",
       "2                                             309.53     \n",
       "3                                             185.49     \n",
       "4                                             245.84     \n",
       "5                                             145.62     \n",
       "6                                             238.01     \n",
       "7                                             208.23     \n",
       "8                                             167.39     \n",
       "9                                             257.19     \n",
       "\n",
       "   Tasa incidencia acumulada activos ultimos 14dias  \\\n",
       "0                                               NaN   \n",
       "1                                               NaN   \n",
       "2                                               NaN   \n",
       "3                                               NaN   \n",
       "4                                               NaN   \n",
       "5                                               NaN   \n",
       "6                                               NaN   \n",
       "7                                               NaN   \n",
       "8                                               NaN   \n",
       "9                                               NaN   \n",
       "\n",
       "   Casos confirmados totales  Tasa de incidencia acumulada total  \\\n",
       "0                     7715.0                            27401.88   \n",
       "1                     5911.0                            24681.62   \n",
       "2                     4181.0                            23529.74   \n",
       "3                     5940.0                            26872.96   \n",
       "4                     5948.0                            22496.22   \n",
       "5                     7685.0                            27295.33   \n",
       "6                     5870.0                            24510.42   \n",
       "7                     4146.0                            23332.77   \n",
       "8                     5918.0                            26773.43   \n",
       "9                     5916.0                            22375.19   \n",
       "\n",
       "   Casos confirmados activos ultimos 14dias  Código geometría  Unnamed: 9  \n",
       "0                                       NaN                 8         NaN  \n",
       "1                                       NaN               125         NaN  \n",
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       "5                                       NaN                 8         NaN  \n",
       "6                                       NaN               125         NaN  \n",
       "7                                       NaN               160         NaN  \n",
       "8                                       NaN               172         NaN  \n",
       "9                                       NaN               262         NaN  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head (10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>Alcobendas - Chopera</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1086</th>\n",
       "      <td>La Moraleja</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1087</th>\n",
       "      <td>Marqués de la Valdavia</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>160</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1088</th>\n",
       "      <td>Miraflores</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>172</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1089</th>\n",
       "      <td>Valdelasfuentes</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>262</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Zona básica de salud        fecha informe  \\\n",
       "1080    Alcobendas - Chopera  2020/02/27 07:00:00   \n",
       "1081             La Moraleja  2020/02/27 07:00:00   \n",
       "1082  Marqués de la Valdavia  2020/02/27 07:00:00   \n",
       "1083              Miraflores  2020/02/27 07:00:00   \n",
       "1084         Valdelasfuentes  2020/02/27 07:00:00   \n",
       "1085    Alcobendas - Chopera  2020/02/26 07:00:00   \n",
       "1086             La Moraleja  2020/02/26 07:00:00   \n",
       "1087  Marqués de la Valdavia  2020/02/26 07:00:00   \n",
       "1088              Miraflores  2020/02/26 07:00:00   \n",
       "1089         Valdelasfuentes  2020/02/26 07:00:00   \n",
       "\n",
       "      Casos confirmados en los ultimos 14 días  \\\n",
       "1080                                       NaN   \n",
       "1081                                       NaN   \n",
       "1082                                       NaN   \n",
       "1083                                       NaN   \n",
       "1084                                       NaN   \n",
       "1085                                       NaN   \n",
       "1086                                       NaN   \n",
       "1087                                       NaN   \n",
       "1088                                       NaN   \n",
       "1089                                       NaN   \n",
       "\n",
       "      Tasa de incidencia acumulada en los últimos 14 días  \\\n",
       "1080                                                0.0     \n",
       "1081                                                0.0     \n",
       "1082                                                0.0     \n",
       "1083                                                0.0     \n",
       "1084                                                0.0     \n",
       "1085                                                0.0     \n",
       "1086                                                0.0     \n",
       "1087                                                0.0     \n",
       "1088                                                0.0     \n",
       "1089                                                0.0     \n",
       "\n",
       "      Tasa incidencia acumulada activos ultimos 14dias  \\\n",
       "1080                                               NaN   \n",
       "1081                                               NaN   \n",
       "1082                                               NaN   \n",
       "1083                                               NaN   \n",
       "1084                                               NaN   \n",
       "1085                                               NaN   \n",
       "1086                                               NaN   \n",
       "1087                                               NaN   \n",
       "1088                                               NaN   \n",
       "1089                                               NaN   \n",
       "\n",
       "      Casos confirmados totales  Tasa de incidencia acumulada total  \\\n",
       "1080                        NaN                                 0.0   \n",
       "1081                        NaN                                 0.0   \n",
       "1082                        NaN                                 0.0   \n",
       "1083                        NaN                                 0.0   \n",
       "1084                        NaN                                 0.0   \n",
       "1085                        NaN                                 0.0   \n",
       "1086                        NaN                                 0.0   \n",
       "1087                        NaN                                 0.0   \n",
       "1088                        NaN                                 0.0   \n",
       "1089                        NaN                                 0.0   \n",
       "\n",
       "      Casos confirmados activos ultimos 14dias  Código geometría  Unnamed: 9  \n",
       "1080                                       NaN                 8         NaN  \n",
       "1081                                       NaN               125         NaN  \n",
       "1082                                       NaN               160         NaN  \n",
       "1083                                       NaN               172         NaN  \n",
       "1084                                       NaN               262         NaN  \n",
       "1085                                       NaN                 8         NaN  \n",
       "1086                                       NaN               125         NaN  \n",
       "1087                                       NaN               160         NaN  \n",
       "1088                                       NaN               172         NaN  \n",
       "1089                                       NaN               262         NaN  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail (10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para poder preguntar a Python por alguna zona sanitara en concreto primero necesito poder conocerlas todas. Para ello es interesante esta función porque permite introducir intervalos, como se muestra a continuación."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
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       "      <th>0</th>\n",
       "      <td>Alcobendas - Chopera</td>\n",
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       "      <td>50.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>7715.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>5911.0</td>\n",
       "      <td>24681.62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Marqués de la Valdavia</td>\n",
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       "      <td>55.0</td>\n",
       "      <td>309.53</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4181.0</td>\n",
       "      <td>23529.74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>160</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Miraflores</td>\n",
       "      <td>2022/03/29 11:51:00</td>\n",
       "      <td>41.0</td>\n",
       "      <td>185.49</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5940.0</td>\n",
       "      <td>26872.96</td>\n",
       "      <td>NaN</td>\n",
       "      <td>172</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>4</th>\n",
       "      <td>Valdelasfuentes</td>\n",
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       "      <td>65.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>5948.0</td>\n",
       "      <td>22496.22</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>540</th>\n",
       "      <td>Alcobendas - Chopera</td>\n",
       "      <td>2020/06/14 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>178.0</td>\n",
       "      <td>645.79</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>541</th>\n",
       "      <td>La Moraleja</td>\n",
       "      <td>2020/06/14 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>174.0</td>\n",
       "      <td>731.80</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>542</th>\n",
       "      <td>Marqués de la Valdavia</td>\n",
       "      <td>2020/06/14 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.0</td>\n",
       "      <td>609.24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>160</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>543</th>\n",
       "      <td>Miraflores</td>\n",
       "      <td>2020/06/14 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>159.0</td>\n",
       "      <td>727.86</td>\n",
       "      <td>NaN</td>\n",
       "      <td>172</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>544</th>\n",
       "      <td>Valdelasfuentes</td>\n",
       "      <td>2020/06/14 07:00:00</td>\n",
       "      <td>8.0</td>\n",
       "      <td>30.43</td>\n",
       "      <td>NaN</td>\n",
       "      <td>227.0</td>\n",
       "      <td>863.38</td>\n",
       "      <td>NaN</td>\n",
       "      <td>262</td>\n",
       "      <td>NaN</td>\n",
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       "<p>545 rows × 10 columns</p>\n",
       "</div>"
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       "       Zona básica de salud        fecha informe  \\\n",
       "0      Alcobendas - Chopera  2022/03/29 11:51:00   \n",
       "1               La Moraleja  2022/03/29 11:51:00   \n",
       "2    Marqués de la Valdavia  2022/03/29 11:51:00   \n",
       "3                Miraflores  2022/03/29 11:51:00   \n",
       "4           Valdelasfuentes  2022/03/29 11:51:00   \n",
       "..                      ...                  ...   \n",
       "540    Alcobendas - Chopera  2020/06/14 07:00:00   \n",
       "541             La Moraleja  2020/06/14 07:00:00   \n",
       "542  Marqués de la Valdavia  2020/06/14 07:00:00   \n",
       "543              Miraflores  2020/06/14 07:00:00   \n",
       "544         Valdelasfuentes  2020/06/14 07:00:00   \n",
       "\n",
       "     Casos confirmados en los ultimos 14 días  \\\n",
       "0                                        50.0   \n",
       "1                                        66.0   \n",
       "2                                        55.0   \n",
       "3                                        41.0   \n",
       "4                                        65.0   \n",
       "..                                        ...   \n",
       "540                                       NaN   \n",
       "541                                       NaN   \n",
       "542                                       NaN   \n",
       "543                                       NaN   \n",
       "544                                       8.0   \n",
       "\n",
       "     Tasa de incidencia acumulada en los últimos 14 días  \\\n",
       "0                                               177.59     \n",
       "1                                               275.59     \n",
       "2                                               309.53     \n",
       "3                                               185.49     \n",
       "4                                               245.84     \n",
       "..                                                 ...     \n",
       "540                                               7.26     \n",
       "541                                              12.62     \n",
       "542                                               0.00     \n",
       "543                                               0.00     \n",
       "544                                              30.43     \n",
       "\n",
       "     Tasa incidencia acumulada activos ultimos 14dias  \\\n",
       "0                                                 NaN   \n",
       "1                                                 NaN   \n",
       "2                                                 NaN   \n",
       "3                                                 NaN   \n",
       "4                                                 NaN   \n",
       "..                                                ...   \n",
       "540                                               NaN   \n",
       "541                                               NaN   \n",
       "542                                               NaN   \n",
       "543                                               NaN   \n",
       "544                                               NaN   \n",
       "\n",
       "     Casos confirmados totales  Tasa de incidencia acumulada total  \\\n",
       "0                       7715.0                            27401.88   \n",
       "1                       5911.0                            24681.62   \n",
       "2                       4181.0                            23529.74   \n",
       "3                       5940.0                            26872.96   \n",
       "4                       5948.0                            22496.22   \n",
       "..                         ...                                 ...   \n",
       "540                      178.0                              645.79   \n",
       "541                      174.0                              731.80   \n",
       "542                      107.0                              609.24   \n",
       "543                      159.0                              727.86   \n",
       "544                      227.0                              863.38   \n",
       "\n",
       "     Casos confirmados activos ultimos 14dias  Código geometría  Unnamed: 9  \n",
       "0                                         NaN                 8         NaN  \n",
       "1                                         NaN               125         NaN  \n",
       "2                                         NaN               160         NaN  \n",
       "3                                         NaN               172         NaN  \n",
       "4                                         NaN               262         NaN  \n",
       "..                                        ...               ...         ...  \n",
       "540                                       NaN                 8         NaN  \n",
       "541                                       NaN               125         NaN  \n",
       "542                                       NaN               160         NaN  \n",
       "543                                       NaN               172         NaN  \n",
       "544                                       NaN               262         NaN  \n",
       "\n",
       "[545 rows x 10 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(0-545)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>NaN</td>\n",
       "      <td>10.88</td>\n",
       "      <td>NaN</td>\n",
       "      <td>178.0</td>\n",
       "      <td>645.79</td>\n",
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       "      <td>8</td>\n",
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       "      <th>546</th>\n",
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       "      <td>12.62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>174.0</td>\n",
       "      <td>731.80</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>Marqués de la Valdavia</td>\n",
       "      <td>2020/06/13 07:00:00</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.0</td>\n",
       "      <td>609.24</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>548</th>\n",
       "      <td>Miraflores</td>\n",
       "      <td>2020/06/13 07:00:00</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>159.0</td>\n",
       "      <td>727.86</td>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1085</th>\n",
       "      <td>Alcobendas - Chopera</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>1086</th>\n",
       "      <td>La Moraleja</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1087</th>\n",
       "      <td>Marqués de la Valdavia</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>160</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1088</th>\n",
       "      <td>Miraflores</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>172</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1089</th>\n",
       "      <td>Valdelasfuentes</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>262</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>546 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Zona básica de salud        fecha informe  \\\n",
       "544          Valdelasfuentes  2020/06/14 07:00:00   \n",
       "545     Alcobendas - Chopera  2020/06/13 07:00:00   \n",
       "546              La Moraleja  2020/06/13 07:00:00   \n",
       "547   Marqués de la Valdavia  2020/06/13 07:00:00   \n",
       "548               Miraflores  2020/06/13 07:00:00   \n",
       "...                      ...                  ...   \n",
       "1085    Alcobendas - Chopera  2020/02/26 07:00:00   \n",
       "1086             La Moraleja  2020/02/26 07:00:00   \n",
       "1087  Marqués de la Valdavia  2020/02/26 07:00:00   \n",
       "1088              Miraflores  2020/02/26 07:00:00   \n",
       "1089         Valdelasfuentes  2020/02/26 07:00:00   \n",
       "\n",
       "      Casos confirmados en los ultimos 14 días  \\\n",
       "544                                        8.0   \n",
       "545                                        NaN   \n",
       "546                                        NaN   \n",
       "547                                        NaN   \n",
       "548                                        NaN   \n",
       "...                                        ...   \n",
       "1085                                       NaN   \n",
       "1086                                       NaN   \n",
       "1087                                       NaN   \n",
       "1088                                       NaN   \n",
       "1089                                       NaN   \n",
       "\n",
       "      Tasa de incidencia acumulada en los últimos 14 días  \\\n",
       "544                                               30.43     \n",
       "545                                               10.88     \n",
       "546                                               12.62     \n",
       "547                                                0.00     \n",
       "548                                                0.00     \n",
       "...                                                 ...     \n",
       "1085                                               0.00     \n",
       "1086                                               0.00     \n",
       "1087                                               0.00     \n",
       "1088                                               0.00     \n",
       "1089                                               0.00     \n",
       "\n",
       "      Tasa incidencia acumulada activos ultimos 14dias  \\\n",
       "544                                                NaN   \n",
       "545                                                NaN   \n",
       "546                                                NaN   \n",
       "547                                                NaN   \n",
       "548                                                NaN   \n",
       "...                                                ...   \n",
       "1085                                               NaN   \n",
       "1086                                               NaN   \n",
       "1087                                               NaN   \n",
       "1088                                               NaN   \n",
       "1089                                               NaN   \n",
       "\n",
       "      Casos confirmados totales  Tasa de incidencia acumulada total  \\\n",
       "544                       227.0                              863.38   \n",
       "545                       178.0                              645.79   \n",
       "546                       174.0                              731.80   \n",
       "547                       107.0                              609.24   \n",
       "548                       159.0                              727.86   \n",
       "...                         ...                                 ...   \n",
       "1085                        NaN                                0.00   \n",
       "1086                        NaN                                0.00   \n",
       "1087                        NaN                                0.00   \n",
       "1088                        NaN                                0.00   \n",
       "1089                        NaN                                0.00   \n",
       "\n",
       "      Casos confirmados activos ultimos 14dias  Código geometría  Unnamed: 9  \n",
       "544                                        NaN               262         NaN  \n",
       "545                                        NaN                 8         NaN  \n",
       "546                                        NaN               125         NaN  \n",
       "547                                        NaN               160         NaN  \n",
       "548                                        NaN               172         NaN  \n",
       "...                                        ...               ...         ...  \n",
       "1085                                       NaN                 8         NaN  \n",
       "1086                                       NaN               125         NaN  \n",
       "1087                                       NaN               160         NaN  \n",
       "1088                                       NaN               172         NaN  \n",
       "1089                                       NaN               262         NaN  \n",
       "\n",
       "[546 rows x 10 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail(546-1090)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A continuación resulta de interés centrarnos en una categoría para ver los demás datos a partir de ella. Para lo cual necesimaos establecerla como íncide. Lo hacemos así: `set_index('columna que queramos')`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>Zona básica de salud</th>\n",
       "      <th>fecha informe</th>\n",
       "      <th>Tasa de incidencia acumulada en los últimos 14 días</th>\n",
       "      <th>Tasa incidencia acumulada activos ultimos 14dias</th>\n",
       "      <th>Casos confirmados totales</th>\n",
       "      <th>Tasa de incidencia acumulada total</th>\n",
       "      <th>Casos confirmados activos ultimos 14dias</th>\n",
       "      <th>Código geometría</th>\n",
       "      <th>Unnamed: 9</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casos confirmados en los ultimos 14 días</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>50.0</th>\n",
       "      <td>Alcobendas - Chopera</td>\n",
       "      <td>2022/03/29 11:51:00</td>\n",
       "      <td>177.59</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7715.0</td>\n",
       "      <td>27401.88</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66.0</th>\n",
       "      <td>La Moraleja</td>\n",
       "      <td>2022/03/29 11:51:00</td>\n",
       "      <td>275.59</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5911.0</td>\n",
       "      <td>24681.62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55.0</th>\n",
       "      <td>Marqués de la Valdavia</td>\n",
       "      <td>2022/03/29 11:51:00</td>\n",
       "      <td>309.53</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4181.0</td>\n",
       "      <td>23529.74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>160</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.0</th>\n",
       "      <td>Miraflores</td>\n",
       "      <td>2022/03/29 11:51:00</td>\n",
       "      <td>185.49</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5940.0</td>\n",
       "      <td>26872.96</td>\n",
       "      <td>NaN</td>\n",
       "      <td>172</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65.0</th>\n",
       "      <td>Valdelasfuentes</td>\n",
       "      <td>2022/03/29 11:51:00</td>\n",
       "      <td>245.84</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5948.0</td>\n",
       "      <td>22496.22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>262</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>Alcobendas - Chopera</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>La Moraleja</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>Marqués de la Valdavia</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>160</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>Miraflores</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>172</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>Valdelasfuentes</td>\n",
       "      <td>2020/02/26 07:00:00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>262</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1090 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Zona básica de salud  \\\n",
       "Casos confirmados en los ultimos 14 días                           \n",
       "50.0                                        Alcobendas - Chopera   \n",
       "66.0                                                 La Moraleja   \n",
       "55.0                                      Marqués de la Valdavia   \n",
       "41.0                                                  Miraflores   \n",
       "65.0                                             Valdelasfuentes   \n",
       "...                                                          ...   \n",
       "NaN                                         Alcobendas - Chopera   \n",
       "NaN                                                  La Moraleja   \n",
       "NaN                                       Marqués de la Valdavia   \n",
       "NaN                                                   Miraflores   \n",
       "NaN                                              Valdelasfuentes   \n",
       "\n",
       "                                                fecha informe  \\\n",
       "Casos confirmados en los ultimos 14 días                        \n",
       "50.0                                      2022/03/29 11:51:00   \n",
       "66.0                                      2022/03/29 11:51:00   \n",
       "55.0                                      2022/03/29 11:51:00   \n",
       "41.0                                      2022/03/29 11:51:00   \n",
       "65.0                                      2022/03/29 11:51:00   \n",
       "...                                                       ...   \n",
       "NaN                                       2020/02/26 07:00:00   \n",
       "NaN                                       2020/02/26 07:00:00   \n",
       "NaN                                       2020/02/26 07:00:00   \n",
       "NaN                                       2020/02/26 07:00:00   \n",
       "NaN                                       2020/02/26 07:00:00   \n",
       "\n",
       "                                          Tasa de incidencia acumulada en los últimos 14 días  \\\n",
       "Casos confirmados en los ultimos 14 días                                                        \n",
       "50.0                                                                                 177.59     \n",
       "66.0                                                                                 275.59     \n",
       "55.0                                                                                 309.53     \n",
       "41.0                                                                                 185.49     \n",
       "65.0                                                                                 245.84     \n",
       "...                                                                                     ...     \n",
       "NaN                                                                                    0.00     \n",
       "NaN                                                                                    0.00     \n",
       "NaN                                                                                    0.00     \n",
       "NaN                                                                                    0.00     \n",
       "NaN                                                                                    0.00     \n",
       "\n",
       "                                          Tasa incidencia acumulada activos ultimos 14dias  \\\n",
       "Casos confirmados en los ultimos 14 días                                                     \n",
       "50.0                                                                                   NaN   \n",
       "66.0                                                                                   NaN   \n",
       "55.0                                                                                   NaN   \n",
       "41.0                                                                                   NaN   \n",
       "65.0                                                                                   NaN   \n",
       "...                                                                                    ...   \n",
       "NaN                                                                                    NaN   \n",
       "NaN                                                                                    NaN   \n",
       "NaN                                                                                    NaN   \n",
       "NaN                                                                                    NaN   \n",
       "NaN                                                                                    NaN   \n",
       "\n",
       "                                          Casos confirmados totales  \\\n",
       "Casos confirmados en los ultimos 14 días                              \n",
       "50.0                                                         7715.0   \n",
       "66.0                                                         5911.0   \n",
       "55.0                                                         4181.0   \n",
       "41.0                                                         5940.0   \n",
       "65.0                                                         5948.0   \n",
       "...                                                             ...   \n",
       "NaN                                                             NaN   \n",
       "NaN                                                             NaN   \n",
       "NaN                                                             NaN   \n",
       "NaN                                                             NaN   \n",
       "NaN                                                             NaN   \n",
       "\n",
       "                                          Tasa de incidencia acumulada total  \\\n",
       "Casos confirmados en los ultimos 14 días                                       \n",
       "50.0                                                                27401.88   \n",
       "66.0                                                                24681.62   \n",
       "55.0                                                                23529.74   \n",
       "41.0                                                                26872.96   \n",
       "65.0                                                                22496.22   \n",
       "...                                                                      ...   \n",
       "NaN                                                                     0.00   \n",
       "NaN                                                                     0.00   \n",
       "NaN                                                                     0.00   \n",
       "NaN                                                                     0.00   \n",
       "NaN                                                                     0.00   \n",
       "\n",
       "                                          Casos confirmados activos ultimos 14dias  \\\n",
       "Casos confirmados en los ultimos 14 días                                             \n",
       "50.0                                                                           NaN   \n",
       "66.0                                                                           NaN   \n",
       "55.0                                                                           NaN   \n",
       "41.0                                                                           NaN   \n",
       "65.0                                                                           NaN   \n",
       "...                                                                            ...   \n",
       "NaN                                                                            NaN   \n",
       "NaN                                                                            NaN   \n",
       "NaN                                                                            NaN   \n",
       "NaN                                                                            NaN   \n",
       "NaN                                                                            NaN   \n",
       "\n",
       "                                          Código geometría  Unnamed: 9  \n",
       "Casos confirmados en los ultimos 14 días                                \n",
       "50.0                                                     8         NaN  \n",
       "66.0                                                   125         NaN  \n",
       "55.0                                                   160         NaN  \n",
       "41.0                                                   172         NaN  \n",
       "65.0                                                   262         NaN  \n",
       "...                                                    ...         ...  \n",
       "NaN                                                      8         NaN  \n",
       "NaN                                                    125         NaN  \n",
       "NaN                                                    160         NaN  \n",
       "NaN                                                    172         NaN  \n",
       "NaN                                                    262         NaN  \n",
       "\n",
       "[1090 rows x 9 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.set_index('Casos confirmados en los ultimos 14 días')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para visualizar el conjunto de datos de esta categoría de manera exclusiva y sin reiteraciones utilizamos la función `.unique()` tras especificar entre corchetes y comillas simples `['']` tras `df` el nombre de la columna que queremos. Así:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 50.,  66.,  55.,  41.,  65.,  57.,  37.,  68.,  48.,  42.,  81.,\n",
       "        47.,  67.,  36.,  43.,  79.,  84.,  75.,  38.,  70.,  90., 116.,\n",
       "       154.,  80., 113., 168., 182., 221., 137., 139., 224., 279., 223.,\n",
       "       188., 186., 260., 363., 246., 205., 287., 371., 567., 314., 265.,\n",
       "       449., 492., 802., 362., 419., 679., 532., 931., 403., 514., 792.,\n",
       "       598., 825., 534., 505., 635., 762., 432., 515., 357., 576., 141.,\n",
       "       219., 138., 110., 217.,  72.,  53.,  30.,  32.,  34.,  33.,  46.,\n",
       "        27.,  19.,  24.,  29.,  22.,  14.,  25.,  17.,  10.,  15.,  11.,\n",
       "         9.,   5.,  13.,   8.,   7.,  nan,   6.,  20.,  16.,  21.,  18.,\n",
       "        49.,  26.,  76.,  51., 100.,  97.,  54., 145.,  60.,  61., 126.,\n",
       "        78., 208., 106.,  91., 169., 262., 107., 220., 187., 238., 258.,\n",
       "       101., 189., 194., 135., 213.,  58., 103., 124.,  56.,  94.,  35.,\n",
       "        59.,  31.,  45.,  52.,  44.,  64.,  74., 129., 111.,  86., 117.,\n",
       "        77.,  89.,  88.,  73., 125., 120.,  96.,  99., 115., 231., 175.,\n",
       "       160., 324., 249., 184., 200., 297., 280., 310., 356., 252., 232.,\n",
       "       266., 201., 179., 203., 289., 243., 183., 122., 198., 212., 132.,\n",
       "       123.,  98.,  85.,  62.,  39., 112., 114., 105.,  40., 119., 173.,\n",
       "       368., 174., 156., 136., 413., 233.,  93., 373.,  71., 104., 102.,\n",
       "       332., 127., 267., 256., 227., 214., 157.,  12.,  23.,  28.,  63.,\n",
       "        69.])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Casos confirmados en los ultimos 14 días'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para el caso que nos ocupa esta función resulta especialmente útil para conocer el listado completo de zonas sanitarias para poder identificar cada una de ellas con una fila y número de la tabla y ampliar las posibilidades de manejar y extraer los datos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         Alcobendas - Chopera\n",
       "1                  La Moraleja\n",
       "2       Marqués de la Valdavia\n",
       "3                   Miraflores\n",
       "4              Valdelasfuentes\n",
       "                 ...          \n",
       "1085      Alcobendas - Chopera\n",
       "1086               La Moraleja\n",
       "1087    Marqués de la Valdavia\n",
       "1088                Miraflores\n",
       "1089           Valdelasfuentes\n",
       "Name: Zona básica de salud, Length: 1090, dtype: object"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Zona básica de salud']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Alcobendas - Chopera', 'La Moraleja', 'Marqués de la Valdavia',\n",
       "       'Miraflores', 'Valdelasfuentes'], dtype=object)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Zona básica de salud'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vemos así que solo hay 5 zonas sanitarias. Aunque para el caso no es muy relevante, podemos conocer el dato para una categoría de una zona sanitaria concreta de la siguiente manera:`['nombredelacolumna'] [númerodelafila]`. Nos proponemos conocer el número de casos totales confirmados en la zona sanitaria que ocupe la posición de la mitad en la tabla. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "178.0"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Casos confirmados totales'] [545]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Alcobendas - Chopera'"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Zona básica de salud'] [545]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sabríamos así que la zona sanitaria ***Chopera*** de Alcobendas ha tenido **178 casos** de Covid-19 confirmados en la segunda quincena de marzo, además de que esta zona ocupa entre otras la fila número 545 de la tabla. De esta forma, con las funciones presentadas podemos ir extrayendo del dataframe los datos que queramos."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Selección de columnas y representación gráfica"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A continuación resulta interesante combinar las columnas en las que nos fijamos en un principio para profundizar en estos datos y poder alterar su visualización. Para ello retomamos la función `set_index()` con las categorías escogidas. En otras palabras, combinaremos las funciones recién utilizadas para poder agrupar la información y trabajar con las variables de manera conjunta. Para diferenciar la cronología trabajaremos por un lado con los datos relativos a los últimos 14 días hasta el 29 de marzo, y por otro con los números totales desde el inicio de la pandemia. Todo ello hasta el 29 de marzo y sobre las personas de 60 o más años en Alcobendas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Zona básica de salud\n",
       "Alcobendas - Chopera      50.0\n",
       "La Moraleja               66.0\n",
       "Marqués de la Valdavia    55.0\n",
       "Miraflores                41.0\n",
       "Valdelasfuentes           65.0\n",
       "                          ... \n",
       "Alcobendas - Chopera       NaN\n",
       "La Moraleja                NaN\n",
       "Marqués de la Valdavia     NaN\n",
       "Miraflores                 NaN\n",
       "Valdelasfuentes            NaN\n",
       "Name: Casos confirmados en los ultimos 14 días, Length: 1090, dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.set_index('Zona básica de salud')['Casos confirmados en los ultimos 14 días']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para poder pintar estos datos y representarlos en un gráfico simplemente añadimos `.plot()` al final de la función anterior."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Zona básica de salud'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.set_index('Zona básica de salud')['Casos confirmados en los ultimos 14 días'].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Con la función `.plot(title=\"títulográfica\")` titulamos el gráfico y los que realicemos a continuación."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid-19 confirmados en los últimos 14 días'}, xlabel='Zona básica de salud'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.set_index('Zona básica de salud')['Casos confirmados en los ultimos 14 días'].plot(title=\"Casos de Covid-19 confirmados en los últimos 14 días\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Zona básica de salud\n",
       "Alcobendas - Chopera      7715.0\n",
       "La Moraleja               5911.0\n",
       "Marqués de la Valdavia    4181.0\n",
       "Miraflores                5940.0\n",
       "Valdelasfuentes           5948.0\n",
       "                           ...  \n",
       "Alcobendas - Chopera         NaN\n",
       "La Moraleja                  NaN\n",
       "Marqués de la Valdavia       NaN\n",
       "Miraflores                   NaN\n",
       "Valdelasfuentes              NaN\n",
       "Name: Casos confirmados totales, Length: 1090, dtype: float64"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.set_index('Zona básica de salud')['Casos confirmados totales']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos confirmados totales'}, xlabel='Zona básica de salud'>"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.set_index('Zona básica de salud')['Casos confirmados totales'].plot(title=\"Casos confirmados totales\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Realizamos la misma operación con la tasa de incidencia. Primero de los últimos 14 días (hasta la fecha de publicación del informe) y luego total desde el inicio de la pandemia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Zona básica de salud\n",
       "Alcobendas - Chopera      177.59\n",
       "La Moraleja               275.59\n",
       "Marqués de la Valdavia    309.53\n",
       "Miraflores                185.49\n",
       "Valdelasfuentes           245.84\n",
       "                           ...  \n",
       "Alcobendas - Chopera        0.00\n",
       "La Moraleja                 0.00\n",
       "Marqués de la Valdavia      0.00\n",
       "Miraflores                  0.00\n",
       "Valdelasfuentes             0.00\n",
       "Name: Tasa de incidencia acumulada en los últimos 14 días, Length: 1090, dtype: float64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.set_index('Zona básica de salud')['Tasa de incidencia acumulada en los últimos 14 días']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Tasa de incidencia acumulada en los últimos 14 días'}, xlabel='Zona básica de salud'>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.set_index('Zona básica de salud')['Tasa de incidencia acumulada en los últimos 14 días'].plot(title=\"Tasa de incidencia acumulada en los últimos 14 días\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Zona básica de salud\n",
       "Alcobendas - Chopera      27401.88\n",
       "La Moraleja               24681.62\n",
       "Marqués de la Valdavia    23529.74\n",
       "Miraflores                26872.96\n",
       "Valdelasfuentes           22496.22\n",
       "                            ...   \n",
       "Alcobendas - Chopera          0.00\n",
       "La Moraleja                   0.00\n",
       "Marqués de la Valdavia        0.00\n",
       "Miraflores                    0.00\n",
       "Valdelasfuentes               0.00\n",
       "Name: Tasa de incidencia acumulada total, Length: 1090, dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.set_index('Zona básica de salud')['Tasa de incidencia acumulada total']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Tasa total de incidencia acumulada'}, xlabel='Zona básica de salud'>"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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JpFKSRPLnEMLdsXhJPERF/Lk0li8GxmQsPjqWtVY+uoXyzYQQrgkhTAghTBg+vPWxs/KpsqyEZy44erPyx15fvsViMDPrrtp7NZeA64E5IYRfZsy6H2i6IusM4L6M8tPjVV2TgHfj4bAHgcmSBscT75OBB+O8NZImxXWdntGWmZl1cyXtrHcw8FlglqQXYtn3gcuB2yV9HlgAfCLOmwIcD8wFqoH/BgghrJR0KfBsrPejEMLKOH0OcCNQAfw9vszMrAi0K5mEEKaT/VzzUS3UD8CXs7R1A3BDC+VVwB7ticfMzLoX3wFvZmY5czLJg4dmv1PoEMzMCsrJpIOu+ez+VJSmNyk765YZBYrGzKx7cDLpoMm7b81J+2xT6DDMzLoVJ5NO8GNMzMw25WRiZmY5czLphNDCqDHVtfUFiMTMrHtwMumElg5z/f7f87Z8IGZm3YSTSZ7U1jcWOgQzs4JxMsmT5xas4j/L1hY6DDOzgnAyyZNn5q/kqF/8m7oG76GYWe/jZNIJB+00NOu8cRf8ncfnLmddjU/Im1nvoVDEN01MmDAhVFVVFWTdK9bWsP9lD7da5+jdRvDBXYbzkb22obw0RZ9md86bmRWCpBkhhAn5bLO9Q9BbM0P7bf7UxeYenrOEh+cs4Qf3vvR+2Sn7j2by+BFsM6iCXbbuT2naO4dmVvycTLawO2cs4s4ZGx93X1GaZqet+pFKiSN2Gc6xe2zNVv37MKRvWQGjNDPrGCeTAltf18Csxe8C8OLC1fzq4dffn3feMbtw5K5bsdvIAYUKz8ysXXyMpRv7+YOvctyvH+M3j7zedmUzswLynkkR+MXU11hbW8/pHxjLqEEVhQ7HzGwz3jMpEn/49zzOvqUwV66ZmbXFyaSIvLR4DXte/GChwzAz24yTSQ7mX37CFl/ne74Z0sy6ISeTInT99DdoaCzem03NrOdxMilClz7wMndl3KtiZlZoTiZFaq0Pd5lZN+JkUqSqFqxk4crqQodhZgY4mRStKbPe4dCfPVroMMzMACcTMzPLAycTMzPLWbuSiaQbJC2V9FJG2SWSFkt6Ib6Oz5h3vqS5kl6VdExG+bGxbK6k72WUby/p6Vj+F0keMredfjJlDsX8TBoz6xnau2dyI3BsC+VXhBD2ia8pAJLGA6cCu8dlficpLSkNXAUcB4wHTot1AX4a29oJWAV8vrMd2tJ+c9q+BV3/H6bNo973nJhZgbUrmYQQpgEr29nmScBtIYSaEMIbwFxgYnzNDSHMCyHUArcBJ0kScCRwZ1z+JuDk9nehsE7ce5tCh8CMBavYUNdQ6DDMrBfL9ZzJuZJmxsNgg2PZKGBhRp1FsSxb+VBgdQihvll5iySdJalKUtWyZctyDD8/KssK+zjeU695iq/c+jxL12woaBxm1nvlkkyuBnYE9gHeBn6Rj4DaEkK4JoQwIYQwYfjw4VtilW264cwDCh0CU19ewsT/fYS9f/gQl9w/m5uemM8tTy0odFhm1kt0+nkmIYQlTdOSrgUeiG8XA2Myqo6OZWQpXwEMklQS904y61sHvbu+jhufmP/++x/c+xJnf3AHPrTbCCaMHVK4wMysR+v0nomkkRlvPwo0Xel1P3CqpHJJ2wPjgGeAZ4Fx8cqtMpKT9PeH5FKkR4FT4vJnAPd1Nq5CUKEDaMMf/j2PU37/JN+6/UU21DXQ2Bg8UKSZ5VW79kwk3QocDgyTtAi4GDhc0j5AAOYDZwOEEGZLuh14GagHvhxCaIjtnAs8CKSBG0IIs+MqvgvcJuky4Hng+nx0zjZ113OLmLTDEO6csYhla2v457cOL3RIZtZDtCuZhBBOa6E46wY/hPBj4MctlE8BprRQPo/kai/rYgF4+o3kwrxrp83jY/uPZkhf39ZjZrnxHfC9TcbRrR9PmcN37nyxcLGYWY/hZNLLBDY9V/LwnKVc+sDLBYrGzHoKJ5NepqWRV66f/gZrNtRt+WDMrMdwMullsl3DtdclD/HKO2tYs6GOV995b4vGZGbFr9P3mdhG40b0L3QI7Xb+3bOyzvvarS/w6pIkkfzmtH05aretqCzzV8TM2uY9kzwY0reM+ZefUOgwctaUSAC+cuvznHbNU7z81poCRmRmxcLJxLJ6cdG7HH/lY3zmuqeprvUz580sOycTa9P0ucsZf9GD/MljfZlZFk4m1m4X3vsSY7/3N1auq/UDucxsE04m1mH7XTqVax+b52eomNn7nEzyqOrCo5m4fe8Ymfd/p7zCXpc8VOgwzKybcDLJo2H9yvnMpO0KHcYWU9vQWOgQzKybcDLJs4/svQ2vXHosFxy/GxN7wfNDdr/oH6xaV1voMMyswHxHWhfoU5rmi4ftwBcP2wGAp+atYH1dA1XzV3LVo/8pcHT5ta62gefeXMVRu40odChmVkBOJlvApB2GAnDELltx3jG7sqGugfW1DSx9r4aH5yyhvCTFs/NX8uDsJW20ZGbWPTmZFECf0jR9StMM7lvGLlsnQ7F84dBkL+bNFdVU19Xz0uI1XHDPLGrqfV7CzLo/FfP9AhMmTAhVVVWFDqNLra6u5cVF73LhvbNYuHJ9ocPJ6nMHb89FJ44vdBhm1g6SZoQQJuSzTZ+A7+YGVZbxwZ2H89h3juTCE3YrdDhZ3fD4G4UOwcwKyMmkiHzh0B149oKj+eKh2xc6FDOzTTiZFJnh/cs5bs+RhQ7DzGwTTiZFaL9tB/PAVw4pdBib8UO1zHovJ5MitceogYUOYTPH/GpaoUMwswJxMilij33nCEYNqih0GGZmTibFbMyQSicTM+sWnEyK3OjBTiZmVnhOJkXuso/uwVWf2q/QYZhZL+dkUuQqy0o4Ya/uc6nw43OXU+eh6c16nXYlE0k3SFoq6aWMsiGSpkp6Pf4cHMsl6UpJcyXNlLRfxjJnxPqvSzojo3x/SbPiMldKUj472RucesCYQocAwKeve5orpr5W6DDMbAtr757JjcCxzcq+BzwSQhgHPBLfAxwHjIuvs4CrIUk+wMXAgcBE4OKmBBTrfDFjuebrsjZc/rG9+PbknQsdBgDzlq0rdAhmtoW1K5mEEKYBK5sVnwTcFKdvAk7OKL85JJ4CBkkaCRwDTA0hrAwhrAKmAsfGeQNCCE+FZNTJmzPasg4498hxzL/8BG763EQO23l4ocMxs14kl3MmI0IIb8fpd4CmpyONAhZm1FsUy1orX9RCeYsknSWpSlLVsmXLcgi/5/rgzsO5+XMTeeXSY/nLWZPYZ8ygLbr+f8x+h/PvnrlF12lmhZWXE/Bxj2KLjGUfQrgmhDAhhDBh+HD/992aPqVpDtxhKPd++WBeu+w4pn/3CAZWlG6Rdd/6zMK2K5lZj5HLw7GWSBoZQng7HqpaGssXA5lng0fHssXA4c3K/xXLR7dQ3/KorCTF6MGVvHjxZOa8vYYVa2u55K+zmbt0baFDM7MeIJc9k/uBpiuyzgDuyyg/PV7VNQl4Nx4OexCYLGlwPPE+GXgwzlsjaVK8iuv0jLasC+w2cgCHjBvGw9/8INedntfn42xi4crqLmvbzLqX9l4afCvwJLCLpEWSPg9cDnxI0uvA0fE9wBRgHjAXuBY4ByCEsBK4FHg2vn4Uy4h1rovL/Af4e+5ds/Y4evwIvnLkTl3S9qE/e9R7Pma9hB/ba0CyF3Hozx7Ne7s3+8oys27Hj+21LjNmSCXzLz8h7+0+Pnc5S9ZsyHu7Zta9OJnYJu455yC2H9Y3b+39Ydo8Pvyb6Xlrz8y6JycT28S+2w7m/nMP5nefzt/gkcveq+Gi+15qu6KZFS0nE9tM/z6lHL/nSL533K55a/PmJxfw5opqivkcnZll52RiWX3pgzvy0DcO47SJ+RlE8rCfP8oP//qyLxk264F8NZe1KYTA02+s5KHZS7jh8Tfy0uaUrx7K+G0G5KUtM+sYX81lBSGJSTsM5aITx/PHMw+gf59cBk5IHH/lYzw4+x3W1tTnIUIzKzQnE+uQI3bdihcvmswJe+b+QK6zb5nBp697mnVOKGZFz8nEOiyVEld9ej/2zsNoxC8uXM3uFz+Ye1BmVlBOJtZpd37pA3w1T0OxjP3e35ixoPkjc8ysWDiZWKeVplMcvNOwvLX3kymvsHj1+ry1Z2ZbjpOJ5eTAHYby0g+PyUtbVQtWcfDl/8xLW2a2ZTmZWM76led+dVem66e/4ZsbzYqMk4nlxTeO3jlvbV36wMvMfmtN3tozs67nZGJ58bWjxzFqUEXe2vvwb6Zz+7N+9K9ZsXAysbzpW57Oa3vfuWsm019fntc2zaxrOJlY3lx/xgF5b/Mz1z+d9zbNLP+cTCxvxgyp7JJ2r3tsHutrG7qkbTPLDycTy6vzjtkl721e9rc5XPHwa3lv18zyx8nE8uqTB+RnuPrmrpk2j6fnreiSts0sd04mllfqwrY/ec1TXdi6meXCycTyqqzEXymz3sh/+ZZX/fuUcs85B3VZ+/OXr+uyts2s85xMLO/23XZwl7V97K+ndVnbZtZ5TiZWVDbUNRY6BDNrgZOJmZnlzMnEusS/vn04h+08vEvaXrJmQ5e0a2adl3MykTRf0ixJL0iqimVDJE2V9Hr8OTiWS9KVkuZKmilpv4x2zoj1X5d0Rq5xWWGNHdaXffPwWN+WLHuvpkvaNbPOy9eeyREhhH1CCBPi++8Bj4QQxgGPxPcAxwHj4uss4GpIkg9wMXAgMBG4uCkBWfFSF9108p9la7umYTPrtK46zHUScFOcvgk4OaP85pB4ChgkaSRwDDA1hLAyhLAKmAoc20Wx2RYyYkCfLmn3a7e90CXtmlnn5SOZBOAhSTMknRXLRoQQ3o7T7wAj4vQoIPMhFYtiWbbyzUg6S1KVpKply5blIXzrKp+cMIarP71f2xXNrOjlI5kcEkLYj+QQ1pclHZY5MyTPX83bM1hDCNeEECaEECYMH941J3gtP1IpcdyeI7uk7Td886JZt5JzMgkhLI4/lwL3kJzzWBIPXxF/Lo3VFwOZIwGOjmXZyq0HmHbeEaTyfP7kY1c/kd8GzSwnOSUTSX0l9W+aBiYDLwH3A01XZJ0B3Ben7wdOj1d1TQLejYfDHgQmSxocT7xPjmXWA2w7tJK7zzmYA8bm75qK1dW1eWvLzHKX657JCGC6pBeBZ4C/hRD+AVwOfEjS68DR8T3AFGAeMBe4FjgHIISwErgUeDa+fhTLrIfYZ8wgfvup/J0/aQywoc4PzDLrLpSc0ihOEyZMCFVVVYUOwzrg2mnz+PGUOXlp68yDxnLJR3bPS1tmvYmkGRm3cuSF74C3LeqLh+3AA185JC93xy9f65sXzboLJxPb4vYYNZA/nnkAPz9lr5zaUVfdFWlmHeZkYgWRTomPTxjDY985gt+cti/bDOz4DY5/ffGtLojMzDrDycQKasyQSk7cexueOP8ozj9u1w4vf/dzi7ogKjPrKCcT6zbO/uCO/OGz+3domW/e/mIXRWNmHeFkYt3KMbtvzdPfP6rQYZhZBzmZWLczYkAf/njmAYUOw8w6wMnEuqUjdt2KR799OIMqS9us+/a767dARGbWGicT67a2H9aXFy6azKQdhrRa7wM/+SfzPfCjWUE5mVi3d9tZH+DsD+7Qap233/WjfM0KycnEisL5x+3GbWdNyjrf9y+aFZaTiRWNfuUlWec5l5gVlpOJFY2a+uyjBK+tqae+oXELRmNmmZxMrGjsMKxf1nmfv6nKNzCaFZCTiRWNwX3LmH/5CVnn3++xuswKxsnEzMxy5mRiReeZC47i+D23LnQYZpbBycSKzlb9+1BR2vKVXXdULdzC0ZgZOJlYkfriYdszenDFZuXn3TmzANGYmZOJFaVdtx7A9O8e2eK8DXXZLyE2s67hZGJF7b4vH7xZ2cp1tQWIxKx3czKxorb3mEH85L/23KTsvDtfZMmaDdTW+yZGsy1FIYRCx9BpEyZMCFVVVYUOw7qBtTX17HHxg5uV9+9Twr7bDmbM4AoqStOMG9GPkQMrSEn071PC1gP7IMG6mgaG9SujNJ2ipr6RdEqUppNBWuoaAilBSSpFfWMjjQHKS1IIqG8MSFCaSv4vC0BKIIkQAvKgYdYNSZoRQpiQzzazD3ZkVkT6lZfw8DcP4+hfTtuk/L0N9Ux7bVmBotrUtkMqGdqvjJKUWFfTQElaVJSmCUDfsjSD+5bxbnUddY2BIZWlbDukknQqxarqWkYPrqAkJZatraG8JM3IgX1Ip8Tq6jr23XYQlWUlrFhbw/D+5QzrV05tQyMb6hro36eUdErUNzQypG/Z+7E4yVm+OZlYj7HTVv354Ud25+L7Zxc6lBa9ubKaN1dWFzqMvBgxoJyRAysIAHEPbOTAPjQ0Bob1L6dfeQkr19Uydmgl/fuUkkqJ9bX1jBpUyYCKEsrSKQb3LWNQRSl1jYHSlKgoS5OSkCAlUZZOkUo56RULH+ayHieEwK8efp3H5y6nasGqQodjORg9uIKdturHdkMqGTOkkpr6RvYdM4idt+5PZVmaitK097I6oSsOczmZmGVRU99ASiIlUd/YSE19I+UlKUKA2oZGQiOUlogNdY2sq6mnsixNQwi8W11HZXkJfUpSVNc2UFPfyKDKUkKA1dW1VJSl6VOaZn1tAzX1DQzrV44QazbUUV6SoiSdYl1NPetq6xlUUUZjCKzZUEdJKkVZOkVtQyPVtfVUlKYpTadYW1OP4jmduoZG1myoo7KshLTE2pp6NtQ3UF6SorwkzerqWspKUqSVHDKTxMCKUlKCOW+vob4x8PS8lTSGQGVZmsYAa9bXsbq6jj5laRavqmZVdR0CGkOgMW4+ykpS9C1Ls6q6jmH9yggBVmzBq+q26l/OuBH92Hv0IPbfbjCDKssYM6SCAfEwX2na1xpl6vHJRNKxwK+BNHBdCOHy1uo7mZgVp3U19aQk7nthMSvW1bJibS1vrqxm3vK1zFuW/0cwD6woZezQSnYe0Z+RgyrYcXhfykvS1DY0suTdDWwzqIIJYwdTUZamf3lJj9/b6dHJRFIaeA34ELAIeBY4LYTwcrZlnEzMeq4QAjXx8u4lazYgxMDKUtbXNvDehjoANtQ18saKdZSmRE19I8/OX0lJSsxbvo6n31hJaSrZs3yvpr5D695lRH9GDOzDwIpSStNieL9yEJSnUwyqLGN9XbK3V1aSYruhfSlJiT6ladKp5FzP0H5lDKwopU9pulte1dfTr+aaCMwNIcwDkHQbcBKQNZmYWc8lJRtogO2G9n2/fGBFKVsP7PP++z1HD3x/+uR9R23SRmO8dLsxwLraemrrG1ldXceiVdU0NAY21DXyr1eXUlaSon+fUjbUNfDwnCVIMHPRalZX1+XUh4EVpUniSacY1LeUuvpAOiUqy9I5tQtw9zkH0b9Pac7t5Et3SiajgMxR+hYBBzavJOks4CyAbbfddstEZmZFqelqsLRgQNzwDutXzk5bbXzQ2gl7jdxkmUs+svsm7xsaA2tr6qmpa0ASb61ez/K1NTQ0BqprG2gMgbKSFKuq62hsDDQ0Bhauqn7/fFYIgfW1yfk3gLrGQENj7jfUprvZlW7dKZm0SwjhGuAaSA5zFTgcM+vh0qnkIgUqkmQ0vH95gSPqnrrTJQ6LgTEZ70fHMjMz6+a6UzJ5FhgnaXtJZcCpwP0FjsnMzNqh2xzmCiHUSzoXeJDk0uAbQgjd81ZmMzPbRLdJJgAhhCnAlELHYWZmHdOdDnOZmVmRcjIxM7OcOZmYmVnOnEzMzCxn3WZsrs6QtAxY0MnFhwHL8xhOd+P+FTf3r3gVQ9+2CyEMz2eDRZ1MciGpKt8DnXUn7l9xc/+KV0/uW2t8mMvMzHLmZGJmZjnrzcnkmkIH0MXcv+Lm/hWvnty3rHrtORMzM8uf3rxnYmZmeeJkYmZmOWtXMpF0sqQgadeMsrGSXurMSiXNlzSsM8u20e4lkr7dieXa3T9Jx0mqkvSypOcl/SKW3yjplDjt/nWC+5d1OfdvY3nR9a+D62izf91Ve/dMTgOmx589Ubv6J2kP4LfAZ0II44EJwNyuD6/FWDryEGn3D/dvS3L/OtVmcfcvhNDqC+hH8sTDnYFXM8rHAi/F6TTw/4CXgJnAV2L5UcDzwCzgBqA8ls8HfhbLnwF2iuXDgbtIHpT1LHBwLL8kLv8vYB7w1Yw4LgBeI/ky3gp8O5Z/MbbxYmyzMpZ/PMb5IjCtg/1bRfKc+pb69zpwFfAEUAfcm9G/a+M6XwaejnG9ArwA/I3kbtlXMvp3FfAk8FxG29OBtcA/Y/k1wBtANbA6rq/S/XP/3L/u07+2tq/NtrU3A5/LMu9G4MrYv3nAKbFcwM/jOmcBn4zlh8fP92/Aq8DvgVScNzmjf3cA/TK2yz+N5aeSZRuaNf52dPDTwPVx+glg/xZ+2f8D3AmUxPdDgD7xF79zxgf19YygL4jTpwMPxOn/Aw6J09sCczKSyRNAOclQBSuAUmD/+AFWAgNIsnhTMhma0YfL2PgFnAWMitODOti/54C9s/RvLsmXM0Xyx7Eill8JLCP5g7gbWAKMBD4BNAI7AD8k+UKeSvJHVQcMjP17G7g09q8u47Ma2tTH2L9/AF9x/9w/96/79K+DyeQ5YO9WkskdsX/jgbmx/GPA1Ni/EcCbsX+HAxti/9Kxzikk289pQN+4/HeBizK2y9/JWGeL29Bsr/Y8HOs04Ndx+rb4fkazOkcDvw8h1AOEEFZK2ht4I4TwWqxzE/Bl4Ffx/a0ZP6/IaGe8pKZ2B0jqF6f/FkKoAWokLY0f3KHAPSGEagBJmY/53UPSZSRf2H4kT3AEeBy4UdLtJF+udvePJGtn699/gCEhhEZJTV9GgABUhBAaJB1C8kCyx0m+yHXA0ljnEWASyX8/IvnDGhTrbxNCWCOpmuQPBmAP4DeSdiRJrBtIvgzun/vn/nWf/uXTvSGERuBlSSNi2SHArSGEBmCJpH8DBwBrgGdCCPMAJN0a624gSUaPx+1sGcleSpO/ZExn24a2qNVkImkIcCSwp6RAkuGCpPPa6nU7hBamU8CkEMKGZnEA1GQUNdD2UyJvBE4OIbwo6UySTE0I4UuSDgROINlFHsam/Rsg6WiSD7mxWZuzSf5beTHLOhsyw87Sv7+T/MLWAD8MIayN/auP9UTyhT4BOJnkD+SijLZqM/pXBhwE7At8AegTQjjT/XP/3L9u0b8ZkvYPIax4Pyjpx3EeIYR9Oti/zG2gstTJFFp4L2BqCCHb+al1GdM30sI2NJu2TsCfAtwSQtguhDA2hDCG5Djhoc3qTQXOllQC7yehV4GxknaKdT4L/DtjmU9m/GzKjA+R7CoS29mnjfimASdLqpDUHzgxY15/4G1JpSS70k1t7hhCeDp+QRqBKc369wLwVeD45v0Dfgl8X9IBGf37QayzI8kx2SZNyS4A6+MJrX/Hdp+J8w6UtD3JL3gfkuOyT5Ecttsu9u+jkvaM/ats1r8+JLvwnyHZnXX/3D/3r/v0bxkwJmMZQggXhBD2aSGRQHLu4/uSdo5tpSR9qYV6mR4DPikpLWk4cFhG/yZK2l5SimQ729S/g5u2y5L6Nq2vBS1uQ7Np67/704i7lhnuaqH8OpJjjTPjLua1IYTfSvpv4I6YZJ4l2VVtMljSTJJs25QlvwpcFctLSH6ZWT/MEMJzkv5CksmXxnU0+QHJybZl8Wf/WP5zSeNIvkDpGHt7+/dnkgR8F0kGbwTOlfQJki/tQxnLKKN/98UYU8CcWG8AsJLk6o0DSU7y3RN30xeTHOsVyUUJ/yBJ4pn/mfyA5FjuGyTHe1e6f+6f+9et+vcI2fcyNhNCmCnp68Ctkipjnx5oY7F7gA/E9QSScx7vKLnM+tnYv52ARzP6d2ZcR3ls40KSi5iay7YNbZGHUykQSYeTXCzw4QKH0iXcv+Lm/hW3QvTPd8CbmVnOvGdiZmY5856JmZnlzMnEzMxy5mRiloWk/5E0oNBxmBUDJxMrOEkflfRCs1ejpOO6cJ2tjsIa540KIaxpo50pkgblObZ/SZqQzzYz2j5cUluXmzZfpstHy7Xi157hVMy6VAjhHpLr5QGQdBbJTVKtDt/QxSqAi9qqFEI4vq06Zr2B90ysW4l3414EfDbeYCVJP5f0kqRZkj4Z6x0e/4O/U9Irkv4sJeNiSLpI0rNxmWuayltwtJJnR7wm6cNx2bGSHgO+AVRJOiiWj5Q0Le41vSTp0Fj+/rMzJJ0uaaakFyXdEstOlPS0kmdTPKyNYypl9rlC0m2S5ki6hySRNc2bLOlJSc9JukMbx6rLXP6rSp5/MVPSbbFsYlzueUlPSNqlheU22eOI/Robpy+In8t0YLNlzTYTOjCqpV9+deWLZMC8KuIw2rGstVFR3wVGk/xT9CQbR5wekrH8LcCJLazrRpI7m1PAOGARyfAYlSRjLAHsCsyI099i40jXaaB/nJ5PMr7U7iR3EQ/LjAEYzMZL8L8A/KKFWL4J3BCn9yIZJ2oCrYzw2mz5t9j4eIdB8ecANo7ifTRwV5w+nI0j315CHGU7vn+JZLTerKNx++VXtpcPc1l3cikwO4SQOXJpW6OiLgKQ9ALJhnA6cISk75BsDIeQDKD31xbWd3tIRmF9XdI8kuQxD7giDkdRF8sgGZriBiXjFN0bQnihWVtHAneEEJZDMrJtLB8N/EXSSJKBAd9oIY7DSIbvICRDasyM5ZNofYTXJjOBP0u6l+S5GpCMmntTHNojkCTq9mptNG6zFvkwl3ULcfiHjwHndmCxzUaSltQH+B3Jw4P2JHkwUp8sy7c0quo3gGUhhINJ/qMvBwghTCPZ6C8mGWL89HbG+BvgtzGWs1uJpSVNI7zuE1/jQwifb6HeCSQPdNoPeFbJWHiXAo+GEPYgGQC1pfXWs+k2oCOxmW3CycQKTtJg4I/A6SGE95rNbm1U1JY0bRCXx/MLWa/YAj6uZGTWHUlGfX2V5LDUsjj/sySHtJC0HbAkhHAtycCD+zVr65+xvaGx/pBYPpAkAQGckSWOacCn4nJ7kBzqgnaM8KpkRNgxIYRHSQ6DDSR59kTmes/Mst75Tf2QtB+wfUY82UbjNmuRD3NZd/AlYCvg6mbnyn8C3E72UVE3E0JYLanpMa3vsOlI0s29SZKYBgBfCiFskHQ1cGfc8/gHG5/vcDhwnpJRsdeSPCE0c72zlTyr4t+SGkie1XEmyXmJOyStIkk427O5q4E/SppDMqrtjNjmMrU9wmsa+JOkgSR7MlfGz+BnJIe5LiR5dGtL7gJOlzSbZFTY1+J6WxuN26xFHpvLzMxy5sNcZmaWMycTMzPLmZOJmZnlzMnEzMxy5mRiZmY5czIxM7OcOZmYmVnO/j9JaRONATrJcQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.set_index('Zona básica de salud')['Tasa de incidencia acumulada total'].plot(title=\"Tasa total de incidencia acumulada\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       2022/03/29 11:51:00\n",
       "1       2022/03/29 11:51:00\n",
       "2       2022/03/29 11:51:00\n",
       "3       2022/03/29 11:51:00\n",
       "4       2022/03/29 11:51:00\n",
       "               ...         \n",
       "1085    2020/02/26 07:00:00\n",
       "1086    2020/02/26 07:00:00\n",
       "1087    2020/02/26 07:00:00\n",
       "1088    2020/02/26 07:00:00\n",
       "1089    2020/02/26 07:00:00\n",
       "Name: fecha informe, Length: 1090, dtype: object"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['fecha informe']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fecha informe\n",
       "2022/03/29 11:51:00    7715.0\n",
       "2022/03/29 11:51:00    5911.0\n",
       "2022/03/29 11:51:00    4181.0\n",
       "2022/03/29 11:51:00    5940.0\n",
       "2022/03/29 11:51:00    5948.0\n",
       "                        ...  \n",
       "2020/02/26 07:00:00       NaN\n",
       "2020/02/26 07:00:00       NaN\n",
       "2020/02/26 07:00:00       NaN\n",
       "2020/02/26 07:00:00       NaN\n",
       "2020/02/26 07:00:00       NaN\n",
       "Name: Casos confirmados totales, Length: 1090, dtype: float64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.set_index('fecha informe')['Casos confirmados totales']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='fecha informe'>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.set_index('fecha informe')['Casos confirmados totales'].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creación de gráficos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para poder solventar el problema de las etiquetas y que el resultado sea mucho más limpio para construir una historia, podemos prescindir del dataframe e introducir, puesto que son pocos, manualmente en la sintaxis correspondiente los datos a representar. Para el caso puede ser interesante un gráfico de barras horizonal con los siguientes datos:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Zona básica de salud\n",
       "Alcobendas - Chopera      7715.0\n",
       "La Moraleja               5911.0\n",
       "Marqués de la Valdavia    4181.0\n",
       "Miraflores                5940.0\n",
       "Valdelasfuentes           5948.0\n",
       "                           ...  \n",
       "Alcobendas - Chopera         NaN\n",
       "La Moraleja                  NaN\n",
       "Marqués de la Valdavia       NaN\n",
       "Miraflores                   NaN\n",
       "Valdelasfuentes              NaN\n",
       "Name: Casos confirmados totales, Length: 1090, dtype: float64"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.set_index('Zona básica de salud')['Casos confirmados totales']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para ello necesitamos importar la librería `matplotlib.pyplot`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Declaramos valores para el eje `x`, en este caso categorias."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "eje_x = ['La Chopera', 'La Moraleja', 'Marqués de la Valdavia', 'Miraflores', 'Valdelasfuentes']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Definimos los valores para el eje `y`, es decir, los valores."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "eje_y = [7.715,5.911,4.181,5.940,5.948]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Por último, creamos la gráfica y ponemos las barras del color que queramos, el naranja en este caso."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8roPvco38/b2Y538TMDSXjSY3+MqftwWerjOdwcx8VcvzwBGF8rrrvjBuz8LwB+Rh3yBV/59cKSc12ryaVA3+ODOfK65etzNNm3Qq6hXS9ncChSsaaN12tjapNvGN6u2IlFwen2N+JXfP0r6jMPwheX6v5HVUs71KnXX+NDNfDXEeuW1AjnF8XjcTSQeSp3PZeqS2GNMK8613Nc1wUk3gtDzcR1d61IlpXOH76Z23g+fy62Ty1QykRqJT8jp8Gvhpg3X0aVJbs3pXtXyB1Mi3cuXD2Q2mtUke/xXSb+ga4BO5bGXSPnA6VVe1kE4NXJnXw5Okf9YftUUgnW65muavamkUx0frMH8eWWtapJqN94F1a5RdC/w2dxfj7EPaRz7DjKtzKle17EXanqfm2IpX7UxhxlUtrwHnAH2rvqN7mXF15MXkdl1U7R+Z9Td/JGn/U+uqlkbbX919Tr2X8ohm1gKSBgNPkBoXvt/icMzMupxPtZiZmVlpnHiYmZlZaXyqxczMzErjGg8zMzMrzYL2UCmbywYOHBiDBw9udRhmZvOV8ePHvxQRg1odRys48bA5MnjwYNrb21sdhpnZfEVSo7uqdms+1WJmZmalceJhZmZmpXHiYWZmZqVx4mFmZmalceJhZmZmpXHiYWZmZqVx4mFmZmalceJhZmZmpfENxGzOvDIeLlCrozCzuWmEn+FlXcc1HmZmZlYaJx5mZmZWGiceZmZmVhonHmZmZlYaJx5mZmZWGiceZmZmVhonHmZmZlYaJx5mZmZWGiceZmZmVhonHmZmZlYaJx5mZmZWGiceZmZmVhonHmZmZlaaBSbxkHSzpJ2q+h0m6bQ6w4+T1Faj/0hJp3Qwrw6HaTDubyQ9KOk3szN+BzEtOzenaWZm1lkLTOIBjAH2r+q3f+4/LzkYWC8ivj+XpzsScOJhZmYttSAlHpcAu0haGEDSYNKB+ABJ7bmW4ahaI0o6SNJjku4Btij0HyTpUkn35tcWNcbdTdLdkiZIulHS0rn/NpIm5tcESYtJugroB4yXtJ+k0ZKGF6Y1vdD9/TzPSZW4JQ2W9LCkM/PyXC+pT55GG3B+nl8fScMk3SJpvKTrJC2Tp3GopIfydMfO4To3MzObyQKTeETEK8A9wGdyr/2Bi4AfR0QbsB6wjaT1iuPlA/JRpIRjS2BIofh3wIkRsRGwD3BWjVnfDmwaERsAY4Ejcv/vAd+IiKHAVsBbEbF7fh8aERfWWxZJnwJWAzYGhgLDJG2di1cDTo2ItYHXgH0i4hKgHfhcnt/7wO+B4RExDDgb+FUe/0hgg4hYDzikzvwPzsla+4vT6kVpZmY2q56tDqBkldMtV+b3LwOflXQwaV0sQ0osJhXG2QQYFxEvAki6EFg9l+0ADJFUGba/pH5V81weuDAnMAsDT+T+dwAnSDofuCwinu7Ecnwqvybkz/1ICcd/gCciYmLuPx4YXGP8NYB1gBty7AsBz+WySaSakSuAK2rNPCLOAM4AaFtZ0Ym4zcxsAbegJR5XAidK2hDoC7xCqnnYKCJelTQa6N2J6fUg1Wa8XexZSEQg1SycEBFXSdoWGAUQEcdKugbYGbhD0k4R8UjV9N/P80BSD1LiAiDg1xHxx6r5DgbeKfT6AOhTI24BD0bEZjXKdgG2BnYDfixp3Yh4v8ZwZmZmnbbAnGoBiIjpwM2kUwtjgP7AG8DU3PbiMzVGu5t0CmYpSb2AfQtl1wPfqnyQNLTG+AOAZ3L3gYVhV4mIyRFxHHAvsGaNcacAw3L37kCv3H0d8KVK7Yqk5SR9rM5iV0wDFsvdjwKDJG2Wx+8lae2c3KwQETcDP8ixV9fgmJmZzbYFrcYDUsJxObB/RDwiaQLwCPAU6fTHTCLiOUmjgLtIbSYmFooPBU6VNIm0Lm9l1nYRo4CLJb0K3ASslPsfJmk74EPgQeCvNWI9E7hS0v3A30hJEhFxvaS1gLty7cp04POkGo56RgOnS3oL2AwYDpwsaUCO/STgMeC83E/AyRHxWoNpmpmZdYoifIreZl/byor2o1sdhZnNVSN8XOhqksbnCxsWOAvUqRYzMzNrLSceZmZmVhonHmZmZlYaJx5mZmZWGiceZmZmVhonHmZmZlYaJx5mZmZWGiceZmZmVhonHmZmZlYaJx5mZmZWmgXxWS02Ny05DEa0tzoKMzObT7jGw8zMzErjxMPMzMxK48TDzMzMSuPEw8zMzErjxMPMzMxK48TDzMzMSuPEw8zMzErj+3jYnHllPFygVkdhZnPTiGh1BNaNucbDzMzMSuPEw8zMzErjxMPMzMxK48TDzMzMSuPEw8zMzErjxMPMzMxK48TDzMzMSuPEw8zMzErjxMPMzMxK48TDzMzMSuPEw8zMzErjxMPMzMxK48TDzMzMSuPEowSSQtJ5hc89Jb0o6er8eXdJR87GdMdImiTpO5JGSxo+N+M2MzOb23q2OoAFxBvAOpL6RMRbwI7AM5XCiLgKuKp6JEk9I+L9WhOU9HFgo4hYNX8e3ZmAJC0UER90ZhwzM7M55RqP8lwL7JK7DwDGVAokjZR0Su4eLel0SXcDx0vaWNJdkiZIulPSGnm064HlJE2UtFVxRpK2z8NPlnS2pEVy/ymSjpN0H7CvpE/lad8n6WJJ/fJwx0p6KNem/LZL14qZmS1QnHiUZyywv6TewHrA3Q2GXR7YPCIOBx4BtoqIDYCfAcfkYXYHHo+IoRFxW2XEPP3RwH4RsS6pVuvrhWm/HBEbAjcCPwF2yJ/bgcMlLQXsBawdEesBR1cHJ+lgSe2S2l+c1un1YGZmC7BOJR6SlpC0XlcF051FxCRgMKm249oOBr+4cBpkAHCxpAeAE4G1Oxh3DeCJiHgsfz4H2LpQfmF+3xQYAtwhaSJwILAiMBV4G/iTpL2BN2ssyxkR0RYRbYMW6yAaMzOzgg4TD0njJPWXtCRwH3CmpBO6PrRu6SrgtxROs9TxRqH7l8DNEbEOsBvQew5jqExbwA25xmRoRAyJiC/nNiUbA5cAuwJ/m8P5mZmZfaSZGo8BEfE6sDdwbkRsAuzQtWF1W2cDR0XE5E6MM4AZDVFHNjH8o8BgSavmz18Abqkx3D+ALSrDSVpU0uq5nceAiLgW+A6wfidiNTMza6iZxKOnpGWAzwJXd3E83VpEPB0RJ3dytOOBX0uaQBNXIUXE28BBpNMzk4EPgdNrDPciKZEZI2kScBewJrAYcHXudztweCfjNTMzq0sR0XgAaV/gp8DtEfE/klYGfhMR+5QRoM3b2lZWtM/S/NTM5msjGh8XbM5JGh8Rba2OoxWa+Qd9MXBx4fO/AScdZmZm1mkdJh758swvk66m+KhhY0R8qQvjMjMzs26omTYefwE+DuxEaqS4POC7N5iZmVmnNZN4rBoRPwXeiIhzSHff3KRrwzIzM7PuqJnE4738/pqkdUiXd36s60IyMzOz7qqZh8SdIWkJ0pUtVwH9SLfuNjMzM+uUZq5qOSt33gKs3LXhmJmZWXdWN/GQ9PmIOE9SzRtIRYRvm25mZmad0qjGY9H87seAmZmZ2VxRN/GIiD9KWgh4PSJOLDEmMzMz66YatvGIiA8kHUB6HLvZrJYcBiPaWx2FmZnNJ5q5quUOSacAF1J4XHtE3NdlUZmZmVm31EziMTS//6LQL4BPzvVozMzMrFtr5nLa7coIxMzMzLq/Zmo8kLQLsz4k7hf1xzAzMzObVYe3TJd0OrAf8C1AwL7Ail0cl5mZmXVDzTyrZfOI+CLwakQcBWwGrN61YZmZmVl31Ezi8VZ+f1PSsqSHxi3TdSGZmZlZd9VMG4+rJS0O/Aa4j3RFy1kNxzAzMzOrQRHReABpkYh4p9JNamD6dqWfLdjaVla0H93qKMw6YUTjfZ5ZGSSNj4i2VsfRCs2carmr0hER70TE1GI/MzMzs2Y1ejrtx4HlgD6SNiBd0QLQH+hbQmxmZmbWzTRq47ETMBJYHjih0H8a8KMujMnMzMy6qUZPpz0HOEfSPhFxaYkxmZmZWTfV6FTL5yPiPGCwpMOryyPihBqjmZmZmdXV6FTLovm9XxmBmJmZWffX6FTLH/P7UeWFY2ZmZt1ZhzcQkzQI+CowuDh8RHyp68IyMzOz7qiZO5deCdwG3Ah80LXhmJmZWXfWTOLRNyJ+0OWRmJmZWbfXzJ1Lr5a0c5dHYmZmZt1eM4nHt0nJx1uSXpc0TdLrXR3Y3CCpp6Rv5mfMmJmZWYt1mHhExGIR0SMi+kRE//y5f0fjSQpJ5xU+95T0oqSr5zToZkgScBIwaXYfaCdplKTvdWL4kZJOaXLYvpJeltS/qv8VkvZrMN70Ov1HSxrebKxV454lacjsjGtmZtYZzbTxQNISwGqkJ9MCEBG3djDaG8A6kvpExFvAjsAznQlOUs+IeL8z4xTiC+CbszNuGSLiTUnXAXsB5wBIGgBsCYwoOZavlDk/MzNbcHVY4yHpK8CtwHXAUfl9VJPTvxbYJXcfAIwpTHdjSXdJmiDpTklr5P4jJV0l6Sbg75L6SBor6WFJl0u6W1JbHnZ6YXrDJY3O3YMkXSrp3vzaIvffRtLE/JogabEay/tjSY9Juh1Yo9B/FUl/kzRe0m2S1uxgve2WY50g6UZJS9cYbAywf+HzXqT120PS3yXdJ2mypD1qTF+STpH0qKQbgY8Vyn6Wl/sBSWfkYdeUdE9hmMGSJufucYV1epqkdkkPSvI9XMzMbK5qto3HRsCTEbEdsAHwWpPTHwvsL6k3sB5wd6HsEWCriNgA+BlwTKFsQ2B4RGwDfB14MyLWAn4ODGtivr8DToyIjYB9gLNy/+8B34iIocBWwFvFkSQNIyUCQ4GdSctdcQbwrYgYlqfzhw5iuB3YNC/fWOCIGsNcB2woaan8eX9SMvI2sFdEbAhsB/xvPnVUtBcpMRoCfBHYvFB2SkRsFBHrAH2AXSPiEWBhSSvlYfYDLqwR048joo30fW0jab3qASQdnJOT9hendbAWzMzMCpo51fJ2RLwtCUmLRMQjldqJjkTEJEmDSbUd11YVDyA9hG41IIBehbIbIuKV3L01cHJhepOamPUOwJDCsbq/pH7AHcAJks4HLouIp6vG2wq4PCLeBJB0VX7vRzqwX1yYZkcNVpcHLpS0DLAw8ET1ABHxbp7HcEmXkpK66wABx0jaGvgQWA5YGni+MPrWwJiI+AB4NtcQVWwn6QigL7Ak8CDwf8BFpITj2Pxeqy3JZyUdTNo2liElNjOt84g4g5SI0bayooP1YGZm9pFmEo+nJS0OXAHcIOlV4MlOzOMq4LfAtsBShf6/BG6OiL1ycjKuUPZGk9MuHvR6F7p7kGob3q4a/lhJ15BqM+6QtFOuCehID+C1XFPSrN8DJ0TEVZK2pf7pqTHAT0nJxpUR8Z6kkcAgYFj+PIWZl6+uXLv0B6AtIp6SNKow7oWk5OkyUjOYf1aNuxKpNmejiHg1n7pqar5mZmbNaOaqlr0i4rWIGEU6QP4J2LMT8zgbOCoiJlf1H8CMxqYjG4x/K7mxpaR1SKcAKv4raS1JPUinHiquB75V+SBpaH5fJSImR8RxwL1AdTuNW4E9c7uSxYDdACLideAJSfvm6UjS+g2XeublO7DBcONIDXe/wYw2MAOAF3LSsR2wYo3xbgX2k7RQrlXZLvevJAov5Zqaj650iYjHSXef/Sm1T7P0JyV9U3OblM80XEIzM7NOaqZx6SqacR8MkZ7Z0rfZGUTE0xFxco2i44FfS5pA45qX04B+kh4GfgGML5QdCVwN3Ak8V+h/KNAmaZKkh4BDcv/DcoPLScB7wF+rYr2PdEC+P5fdWyj+HPBlSfeTTl3M0uCzyihS7cJ44KV6A0XEh8AlpNqgW3Lv83P8k0ntN2rVylwO/BN4CDgXuCtP7zXgTOAB0mmbe6vGuxD4POm0S3Us9wMT8vwuIJ2aMjMzm2uUrjptMIA0EWgjJRzXkp7dsnZEtORuppLGAd+LiPZWzN9m1rayov3oVkdh1gkj3CzJWk/S+NyQf4HTzFUtH+Z7aewF/D4ivk9qdGhmZmbWKc00Ln1P0gGkdgq75X69GgzfpSJi21bN28zMzOZMMzUeBwGbAb+KiCfylQ9/6dqwzMzMrDvqsMYjIh4iNdasfH4COK4rgzIzM7PuqZkaDzMzM7O5womHmZmZlaZTiYekHqp6jLuZmZlZs5q5gdgFkvpLWpR0U6qHJH2/60MzMzOz7qaZGo8h+Zbhe5Lu5rkS8IWuDMrMzMy6p2YSj16SepESj6si4j1mfjibmZmZWVOaSTz+CEwBFgVulbQi8HpXBmVmZmbdU4fPaqk5ktQz30bdFnBtbW3R3u7H5piZdcaC/KyWZm6ZjqRdgLWZ8ch1SE+KNTMzM2taM1e1nA7sB3wLELAvsGIXx2VmZmbdUDNtPDaPiC8Cr0bEUaTntqzetWGZmZlZd9RM4vFWfn9T0rLAe8AyXReSmZmZdVfNtPG4WtLiwG+A+0iX0p7VlUGZmZlZ99TM02l/mTsvlXQ10DsipnZtWGZmZtYdNXtVy+bA4MrwkoiIc7swLjMzM+uGOkw8JP0FWAWYCHyQewfgxMPglfFwgVodhZnNLSN8Y2rrWs3UeLSRntfirdHMzMzmSDNXtTwAfLyrAzEzM7Pur5kaj4HAQ5LuAd6p9IyI3bssKjMzM+uWmkk8RnV1EGZmZrZgaOZy2lskLQ1slHvdExEvdG1YZmZm1h0186yWzwL3kJ7R8lngbknDuzowMzMz636aOdXyY2CjSi2HpEHAjcAlXRmYmZmZdT/NXNXSo+rUystNjmdmZmY2k2ZqPP4m6TpgTP68H/DXrgvJzMzMuqtmGpd+X9LewJa51xkRcXnXhmVmZmbdUd3EQ9JOEXEdQERcBlxWKNs3Ii4uIT4zMzPrRhq11bhW0s2SlqtR9sOuCsjMzMy6r0aJxyTgAuAfNS6f9VPBCiRNn83xtpUUkr5S6Dc09/veXIptpKRTOhhmd0lHzo35mZmZNdIo8YiIOBPYHviBpD9L6lsp6/rQFhgPkO6PUnEAcH9nJiCpmUbCdUXEVRFx7JxMw8zMrBkdXhYbEY8BmwH/BSZI2qTLo+oGJO0m6W5JEyTdmO/+WsuTQG9JS0sS8GkKVw3lGpB/SJok6XJJS+T+4ySdJKkd+HYz85M0SNKlku7Nry1y/49qRToRt5mZWac1Sjw+Op0SEe9HxJHA10iX1a7W1YF1A7cDm0bEBsBY4IgGw15CujPs5sB9FB7GB5wL/CAi1gMmAz8vlC0cEW0R8b9Nzu93wIkRsRGwD3DW7MQt6WBJ7ZLaX5zWYKnMzMyqNKqiP6q6R0SMkzSMlIBYY8sDF0paBlgYeKLBsBcBFwJrkhK7zQEkDQAWj4hb8nDnAMWriS7s5Px2AIakihUA+kvq19m4I+IM4AyAtpXl025mZta0ujUeEXFFnf6vuj1AU34PnBIR65IStd71BoyI54H3gB2Bv3diHm90cn49SLUZQ/NruYiobhjbdNxmZmad5Vufd50BwDO5+8Amhv8Z6ZTKB5UeETEVeFXSVrnXF4Bbao3c5PyuB75V+SBp6FyI28zMrGlzdDWEfaSvpKcLn08ARgEXS3oVuAlYqdEEIuLOOkUHAqfnK4r+DRxUZ7hm5ncocKqkSaTv/lbgkEoInZiOmZnZbFGET9Ev6CR9F+gfET/vcOAqbSsr2o/ugqDMrDVG+JhQBknjI6Kt1XG0gms8FnCSDgFGAnu3OBQzM1sAuI3HAi4iTo+IdSPin62OxczMuj8nHmZmZlYaJx5mZmZWGiceZmZmVhonHmZmZlYaJx5mZmZWGiceZmZmVhonHmZmZlYaJx5mZmZWGiceZmZmVhrfMt3mzJLDYER7q6MwM7P5hGs8zMzMrDROPMzMzKw0TjzMzMysNE48zMzMrDROPMzMzKw0TjzMzMysNE48zMzMrDS+j4fNmVfGwwVqdRRmZuUaEa2OYL7lGg8zMzMrjRMPMzMzK40TDzMzMyuNEw8zMzMrjRMPMzMzK40TDzMzMyuNEw8zMzMrjRMPMzMzK40TDzMzMyuNEw8zMzMrjRMPMzMzK40TDzMzMyuNE4+5RNL0ORh3Y0m3SnpU0gRJZ0nqK2mUpO/NzTjNzMxayU+nbTFJSwMXA/tHxF2533BgsRbE0jMi3i97vmZmtuBwjUcXkrSbpLtzLcaNOcmo9g3gnErSARARl0TEf/PHIZLGSfq3pEML0z5c0gP5dVjuN1jSI5LOl/SwpEsk9c1lwyTdImm8pOskLZP7j5N0kqR24NtNxmxmZjZbnHh0rduBTSNiA2AscESNYdYBxjeYxprATsDGwM8l9ZI0DDgI2ATYFPiqpA3y8GsAf4iItYDXgf+R1Av4PTA8IoYBZwO/Ksxj4Yhoi4j/bSZmSQdLapfU/uK05laEmZkZ+FRLV1seuDDXLiwMPDEb07gmIt4B3pH0ArA0sCVweUS8ASDpMmAr4CrgqYi4I497HnAo8DdSgnODJICFgOcK87iwMzFHxBnAGQBtKytmY5nMzGwB5RqPrvV74JSIWBf4GtC7xjAPAsMaTOOdQvcHdJwsVicCAQh4MCKG5te6EfGpwjBvdDJmMzOz2eLEo2sNAJ7J3QfWGeYU4EBJm1R6SNq7g7YVtwF75itfFgX2yv0APiFps9w9gnTq5FFgUKV/Pl2z9hzEbGZmNluceMw9fSU9XXgdDowCLpY0Hnip1ki5Een+wG/z5bQPk9p01G09ERH3AaOBe4C7gbMiYkIufhT4Rp7OEsBpEfEuMBw4TtL9wERg8zqT7zBmMzOz2aUIn6LvLiQNBq6OiHXKmmfbyor2o8uam5nZPGLEnB07JY2PiLa5FM18xTUeZmZmVhpf1dKNRMQU0tUrZmZm8yTXeJiZmVlpnHiYmZlZaZx4mJmZWWmceJiZmVlpnHiYmZlZaZx4mJmZWWmceJiZmVlpnHiYmZlZaZx4mJmZWWl851KbM0sOgxHtrY7CzMzmE67xMDMzs9I48TAzM7PSOPEwMzOz0jjxMDMzs9I48TAzM7PSOPEwMzOz0jjxMDMzs9I48TAzM7PSOPEwMzOz0igiWh2DzcckTQMebXUcTRgIvNTqIDrgGOee+SFOxzj3zA9xVse4YkQMalUwreRbptucejQi2lodREcktc/rcTrGuWd+iNMxzj3zQ5zzQ4xl8akWMzMzK40TDzMzMyuNEw+bU2e0OoAmzQ9xOsa5Z36I0zHOPfNDnPNDjKVw41IzMzMrjWs8zMzMrDROPMzMzKw0Tjxstkn6tKRHJf1L0pGtjqcWSWdLekHSA62OpR5JK0i6WdJDkh6U9O1Wx1RNUm9J90i6P8d4VKtjqkfSQpImSLq61bHUI2mKpMmSJkpqb3U8tUhaXNIlkh6R9LCkzVodU5GkNfL6q7xel3RYq+OqRdJ38u/mAUljJPVudUyt5DYeNlskLQQ8BuwIPA3cCxwQEQ+1NLAqkrYGpgPnRsQ6rY6nFknLAMtExH2SFgPGA3vOS+tSkoBFI2K6pF7A7cC3I+IfLQ5tFpIOB9qA/hGxa6vjqUXSFKAtIubZm15JOge4LSLOkrQw0DciXmtxWDXl/dEzwCYR8WSr4ymStBzp9zIkIt6SdBFwbUSMbm1kreMaD5tdGwP/ioh/R8S7wFhgjxbHNIuIuBV4pdVxNBIRz0XEfbl7GvAwsFxro5pZJNPzx175Nc/9a5G0PLALcFarY5mfSRoAbA38CSAi3p1Xk45se+DxeS3pKOgJ9JHUE+gLPNvieFrKiYfNruWApwqfn2YeO1jOjyQNBjYA7m5xKLPIpzAmAi8AN0TEPBcjcBJwBPBhi+PoSADXSxov6eBWB1PDSsCLwJ/zaauzJC3a6qAa2B8Y0+ogaomIZ4DfAv8BngOmRsT1rY2qtZx4mM0jJPUDLgUOi4jXWx1PtYj4ICKGAssDG0uap05dSdoVeCEixrc6liZsGREbAp8BvpFPCc5LegIbAqdFxAbAG8C82o5rYWB34OJWx1KLpCVItcErAcsCi0r6fGujai0nHja7ngFWKHxePvez2ZDbTVwKnB8Rl7U6nkZylfvNwKdbHEq1LYDdc/uJscAnJZ3X2pBqy/+CiYgXgMtJpy7nJU8DTxdqtS4hJSLzos8A90XEf1sdSB07AE9ExIsR8R5wGbB5i2NqKSceNrvuBVaTtFL+x7E/cFWLY5ov5YabfwIejogTWh1PLZIGSVo8d/chNSp+pKVBVYmIH0bE8hExmLQ93hQR89w/S0mL5kbE5NMXnwLmqauuIuJ54ClJa+Re2wPzTGPnKgcwj55myf4DbCqpb/6tb09qx7XA8tNpbbZExPuSvglcBywEnB0RD7Y4rFlIGgNsCwyU9DTw84j4U2ujmsUWwBeAybkNBcCPIuLa1oU0i2WAc/LVAz2AiyJinr1cdR63NHB5OgbRE7ggIv7W2pBq+hZwfv5j8W/goBbHM4ucuO0IfK3VsdQTEXdLugS4D3gfmMACfvt0X05rZmZmpfGpFjMzMyuNEw8zMzMrjRMPMzMzK40TDzMzMyuNEw8zMzMrjRMPs25K0scljZX0eL4197WSVm91XJ2V7yFyd75191Z5ORYvYb7jJLXN4TT2lDSkieFGSlq2ieFGSxo+JzGZtZoTD7NuKN+o6HJgXESsEhHDgB+S7iExv9kemBwRG0TEbRGxc/UDy5TMi/uzPYEOEw9gJOl22mbd3rz4QzWzObcd8F5EnF7pERH3R8RtkvpJ+ruk+yRNlrQHfHRHzWsk3S/pAUn75f7b59qGyZLOlrRI7n+spIckTZL02+oA8nz+nMebJGmf3P+A3O8BSccVhp8u6Vd5/v+QtLSkocDxwB6SJkrqI2mKpIGSBkt6VNK5pDt/biXpkVwr8Jik8yXtIOkOSf+UtHGez8aS7srLdGfl7px52mMlPSzpcqBPIbZZYlZ6aN7o3G+ypO9ULf/mpGeI/CbHvoqkoXnZJkm6XNISuQajjXSzrsoy/kzSvXnaZ+REsnr9DpN0S67Nuk7SMrn/oYXvZWwntxuzrhcRfvnlVzd7AYcCJ9Yp6wn0z90DgX8BAvYBziwMNwDoTXoK8eq537nAYcBSwKPMuAnh4jXmcxxwUuHzEqR/9f8BBuU4bgL2zOUB7Ja7jwd+krtHAqcUpjMlxz2Y9BTaTXP/waQ7Q65L+lM1Hjg7L9sewBV5uP5Az9y9A3Bp7j6cdAdegPXytNrqxQwMIz2llwbrYDQwvPB5ErBN7v5FZf0A44C2wnBLFrr/Ulgvo4HhQC/gTmBQ7r9fIfZngUXqxeSXX61+ucbDbMEj4BhJk4AbgeVIp2AmAztKOk7SVhExFViD9ICrx/K45wBbA1OBt4E/SdobeLPGfHYATq18iIhXgY1Ip39ejIj3gfPz9ADeBSq3YR9PSiQ68mRE/KPw+YmImBwRHwIPAn+PiMjLVpneAOBiSQ8AJwJr5/5bA+flWCeRkgQaxPxvYGVJv5f0aaDhE4UlDSAlArfkXpV1Wct2uV3LZOCThRgr1gDWAW5Qus3+T0gPaiTHfb7SE1DfbxSTWSs48TDrnh4k/SOv5XOkf+/DIj3m/r9A75xcbEg6SB8t6Wf1Jp4PwBuTnlq6KzA3njXyXk4SAD6guWdJvVH1+Z1C94eFzx8WpvdL4OaIWAfYjVSr02k5kVqfVFtxCHDW7EynmqTewB9INSXrAmfWiFHAgxExNL/WjYhP5bJdSAnfhsC9kvxMLpunOPEw655uAhaRdHClh6T1JG1F+sf/QkS8J2k7YMVcvizwZkScB/yGdOB6FBgsadU8mS8At0jqBwyI9CC775AOwNVuAL5RmP8SwD3ANrmNxkKkJ4veUmPcrjQAeCZ3jyz0vxUYASBpHdLpFqgTs6SBQI+IuJRU41DrsfHTgMUAcg3Sq/k7gLwuq4djRpLxUl7Pta5ieRQYJGmzHG8vSWsrNbBdISJuBn6Ql7VfB+vDrFTOhM26oYgISXsBJ0n6Aem0yBRS+4zzgf/L1fjtzHi8/bqkhpAfAu8BX4+ItyUdRDo10RO4FzgdWBK4Mv87F6l9RLWjgVPzKY0PgKMi4jJJRwI35/GuiYgr5/4aaOh40pN2fwJcU+h/GvBnSQ+THls+HiAinqsVs6T18/CVP3A/rDGvscCZkg4lJRAHAqdL6svMT3wdnfu/BWxGquV4AHietM5nEhHv5kapJ+dTOD2Bk4DHgPNyPwEnR9UVQGat5qfTmpmZWWl8qsXMzMxK48TDzMzMSuPEw8zMzErjxMPMzMxK48TDzMzMSuPEw8zMzErjxMPMzMxK8/+6tdrM8QziLwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.barh(eje_x, eje_y, color=\"orange\")\n",
    "plt.ylabel('Zonas sanitarias')\n",
    "plt.xlabel('Casos confirmados totales')\n",
    "plt.title('Casos de Covid-19 en personas de 60 o más años de edad en Alcobendas')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Repetimos el proceso con los casos confirmados en los últimos 14 días."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "eje_x = ['La Chopera', 'La Moraleja', 'Marqués de la Valdavia', 'Miraflores', 'Valdelasfuentes']\n",
    "eje_y = [50,66,55,41,65]\n",
    "plt.barh(eje_x, eje_y, color=\"pink\")\n",
    "plt.ylabel('Zonas sanitarias')\n",
    "plt.xlabel('Casos confirmados totales')\n",
    "plt.title('Casos de Covid-19 en personas de 60 o más años de edad en Alcobendas')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Por último es interesante conocer los totales de estos gráficos. Para salvar el problema de recuento acumulado que supone una elevación multiplicada de los casos introducimos las cifras para que Python los sume. En primer lugar recontaremos los casos desde el inicio de la pandemia y en segundo lugar los relativos a los últimos 14 días. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "29.695"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "7.715+5.911+4.181+5.940+5.948"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "277"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "50+66+55+41+65"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creación de mapas interactivos "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A continuación nos proponemmos representar geográficamente las 5 zonas sanitarias de Alcobendas para poder visualizarlas. Para ello necesitamos la librería `folium`, útil para la creación de mapas web interactivos con Python. Para ello repetimos el proceso anterior: instalación e importación de librería, definición de variables e introducción de funciones.\n",
    "Empezamos preparando la librería folium con la sintaxis utilizada anteriormente para Pandas: `!pip install folium` y `import folium`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: folium in ./.local/lib/python3.8/site-packages (0.12.1.post1)\n",
      "Requirement already satisfied: branca>=0.3.0 in ./.local/lib/python3.8/site-packages (from folium) (0.5.0)\n",
      "Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from folium) (2.25.0)\n",
      "Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (from folium) (1.21.1)\n",
      "Requirement already satisfied: jinja2>=2.9 in /usr/lib/python3/dist-packages (from folium) (2.10.1)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2020.6.20)\n",
      "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/lib/python3/dist-packages (from requests->folium) (3.0.4)\n",
      "Requirement already satisfied: idna<3,>=2.5 in /usr/lib/python3/dist-packages (from requests->folium) (2.8)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests->folium) (1.25.8)\n"
     ]
    }
   ],
   "source": [
    "!pip install folium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "import folium "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como en el proceso anterior con la librería Pandas, una vez preparada la librería necesitamos definir la variable con la que vamos a trabajar. Podría ser oportuno también crear la variable `url` para introducir en la librería Folium la base de datos que manejamos, pero en este caso no es necesario. Por lo que definimos la variable `geo` con las coordenadas del lugar a representar."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "geo = [40.5475,-3.64209]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Una vez definida la variable es el momento de introducir funciones. La librería Folium cuenta con la función `.Map()`, para la representación de un mapa. Le decimos que la localización de las coordenadas a representar son las definidas en la variable `geo`, y esta sintaxis la asociamos a la variable `mapa` para establecer que cada vez que pongamos en este notebook dicha palabra, Python dibuje el mapa de Alcobendas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
       "&lt;head&gt;    \n",
       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
       "    \n",
       "        &lt;script&gt;\n",
       "            L_NO_TOUCH = false;\n",
       "            L_DISABLE_3D = false;\n",
       "        &lt;/script&gt;\n",
       "    \n",
       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
       "    \n",
       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
       "            &lt;style&gt;\n",
       "                #map_c642e505d10a76210e39796e5ac035ad {\n",
       "                    position: relative;\n",
       "                    width: 100.0%;\n",
       "                    height: 100.0%;\n",
       "                    left: 0.0%;\n",
       "                    top: 0.0%;\n",
       "                }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_c642e505d10a76210e39796e5ac035ad&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "&lt;/body&gt;\n",
       "&lt;script&gt;    \n",
       "    \n",
       "            var map_c642e505d10a76210e39796e5ac035ad = L.map(\n",
       "                &quot;map_c642e505d10a76210e39796e5ac035ad&quot;,\n",
       "                {\n",
       "                    center: [40.5475, -3.64209],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 10,\n",
       "                    zoomControl: true,\n",
       "                    preferCanvas: false,\n",
       "                }\n",
       "            );\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_b782879d1abe22a25487056f2e9ebeee = L.tileLayer(\n",
       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            ).addTo(map_c642e505d10a76210e39796e5ac035ad);\n",
       "        \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f514daacb20>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mapa = folium.Map(location=geo)\n",
    "mapa"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pero realmente este mapa es demasiado amplio para aportar información. Necesitamos bajar a las calles. Para ello es interesante el estilo de mapa *Stamen Toner*, que en blanco y negro nos muestra las calles de las coordenadas introducidas. Para ello necesitamos añadir a la sintaxis anterior `tiles='Stamen Toner', zoom_start=x`. Así nos permite mostrar el mapa con el zoom que determiemos. Para el caso he escogido 16."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
       "&lt;head&gt;    \n",
       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
       "    \n",
       "        &lt;script&gt;\n",
       "            L_NO_TOUCH = false;\n",
       "            L_DISABLE_3D = false;\n",
       "        &lt;/script&gt;\n",
       "    \n",
       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
       "    \n",
       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
       "            &lt;style&gt;\n",
       "                #map_c745769aeb6ab15e539800f12a75b92f {\n",
       "                    position: relative;\n",
       "                    width: 100.0%;\n",
       "                    height: 100.0%;\n",
       "                    left: 0.0%;\n",
       "                    top: 0.0%;\n",
       "                }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_c745769aeb6ab15e539800f12a75b92f&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "&lt;/body&gt;\n",
       "&lt;script&gt;    \n",
       "    \n",
       "            var map_c745769aeb6ab15e539800f12a75b92f = L.map(\n",
       "                &quot;map_c745769aeb6ab15e539800f12a75b92f&quot;,\n",
       "                {\n",
       "                    center: [40.5475, -3.64209],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 16,\n",
       "                    zoomControl: true,\n",
       "                    preferCanvas: false,\n",
       "                }\n",
       "            );\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_2f00e8e8b520bcad4cc7a8e6dd4ad87c = L.tileLayer(\n",
       "                &quot;https://stamen-tiles-{s}.a.ssl.fastly.net/toner/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Map tiles by \\u003ca href=\\&quot;http://stamen.com\\&quot;\\u003eStamen Design\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://creativecommons.org/licenses/by/3.0\\&quot;\\u003eCC BY 3.0\\u003c/a\\u003e. Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            ).addTo(map_c745769aeb6ab15e539800f12a75b92f);\n",
       "        \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f514db1d700>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "folium.Map(\n",
    "    location=[40.5475,-3.64209],\n",
    "    tiles='Stamen Toner',\n",
    "    zoom_start=16\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pero este mapa sigue sin enseñarnos un punto concreto. Nos interesa poder marcar puntos en él para reconocer las diferentes zonas sanitarias de Alcobendas. Para ello utilizamos la función de folium `.Marquer` que cuenta con el atributo `popup` que nos permirte ver el nombre de la calle al posicionarnos en un punto. Para ver mejor esto nos interesa otro estilo de mapa diferente al anterior, uno que no distinga las calles en el terreno, así que introducimos el tipo *Stamen Terrain* en la definición de `tiles`. `Folium.Marker`además nos permite elegir un texto para cada punto señalado al deslizar el cursor. Así, tras el comando `tooltip` ponemos el nombre de la zona sanitaria."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
       "&lt;head&gt;    \n",
       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
       "    \n",
       "        &lt;script&gt;\n",
       "            L_NO_TOUCH = false;\n",
       "            L_DISABLE_3D = false;\n",
       "        &lt;/script&gt;\n",
       "    \n",
       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
       "    \n",
       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
       "            &lt;style&gt;\n",
       "                #map_d28444618893e06898770121a0c202da {\n",
       "                    position: relative;\n",
       "                    width: 100.0%;\n",
       "                    height: 100.0%;\n",
       "                    left: 0.0%;\n",
       "                    top: 0.0%;\n",
       "                }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_d28444618893e06898770121a0c202da&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "&lt;/body&gt;\n",
       "&lt;script&gt;    \n",
       "    \n",
       "            var map_d28444618893e06898770121a0c202da = L.map(\n",
       "                &quot;map_d28444618893e06898770121a0c202da&quot;,\n",
       "                {\n",
       "                    center: [40.5475, -3.64209],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 13,\n",
       "                    zoomControl: true,\n",
       "                    preferCanvas: false,\n",
       "                }\n",
       "            );\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_8fe0ed507c0a8084d32d70dcf51ffcae = L.tileLayer(\n",
       "                &quot;https://stamen-tiles-{s}.a.ssl.fastly.net/terrain/{z}/{x}/{y}.jpg&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Map tiles by \\u003ca href=\\&quot;http://stamen.com\\&quot;\\u003eStamen Design\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://creativecommons.org/licenses/by/3.0\\&quot;\\u003eCC BY 3.0\\u003c/a\\u003e. Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://creativecommons.org/licenses/by-sa/3.0\\&quot;\\u003eCC BY SA\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            ).addTo(map_d28444618893e06898770121a0c202da);\n",
       "        \n",
       "    \n",
       "            var marker_80387b20963fd5baba6301c6a7671d3b = L.marker(\n",
       "                [40.5358796, -3.7016036],\n",
       "                {}\n",
       "            ).addTo(map_d28444618893e06898770121a0c202da);\n",
       "        \n",
       "    \n",
       "        var popup_eeb977e49f7d9a9ff6dd8eac8cc54e60 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_dd65b94eaf0b2d8b428d36432c13134e = $(`&lt;div id=&quot;html_dd65b94eaf0b2d8b428d36432c13134e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Chopera&lt;/div&gt;`)[0];\n",
       "            popup_eeb977e49f7d9a9ff6dd8eac8cc54e60.setContent(html_dd65b94eaf0b2d8b428d36432c13134e);\n",
       "        \n",
       "\n",
       "        marker_80387b20963fd5baba6301c6a7671d3b.bindPopup(popup_eeb977e49f7d9a9ff6dd8eac8cc54e60)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_80387b20963fd5baba6301c6a7671d3b.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     La Chopera\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_5cd6275ad9d2c7448a5bb7867491477f = L.marker(\n",
       "                [40.531936, -3.635167],\n",
       "                {}\n",
       "            ).addTo(map_d28444618893e06898770121a0c202da);\n",
       "        \n",
       "    \n",
       "        var popup_599ca5ff87acd2551c7433ed4acbaf72 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_72aeb6ffd073b40e612f273dbfdd410e = $(`&lt;div id=&quot;html_72aeb6ffd073b40e612f273dbfdd410e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Moraleja&lt;/div&gt;`)[0];\n",
       "            popup_599ca5ff87acd2551c7433ed4acbaf72.setContent(html_72aeb6ffd073b40e612f273dbfdd410e);\n",
       "        \n",
       "\n",
       "        marker_5cd6275ad9d2c7448a5bb7867491477f.bindPopup(popup_599ca5ff87acd2551c7433ed4acbaf72)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_5cd6275ad9d2c7448a5bb7867491477f.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     La Moraleja\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_e2fc9c453325e5381bc9445e9375b16c = L.marker(\n",
       "                [40.541, -3.6374],\n",
       "                {}\n",
       "            ).addTo(map_d28444618893e06898770121a0c202da);\n",
       "        \n",
       "    \n",
       "        var popup_fb20d2d306ea40a914f45f8f9a819954 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_916d4d12705fc0e69e6dfb9416cb89a8 = $(`&lt;div id=&quot;html_916d4d12705fc0e69e6dfb9416cb89a8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Marqués de la Valdavia&lt;/div&gt;`)[0];\n",
       "            popup_fb20d2d306ea40a914f45f8f9a819954.setContent(html_916d4d12705fc0e69e6dfb9416cb89a8);\n",
       "        \n",
       "\n",
       "        marker_e2fc9c453325e5381bc9445e9375b16c.bindPopup(popup_fb20d2d306ea40a914f45f8f9a819954)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_e2fc9c453325e5381bc9445e9375b16c.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Marqués de la Valdavia\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_aac915db1eeb03c9d9c2187d381e2896 = L.marker(\n",
       "                [40.5358796, -3.7016036],\n",
       "                {}\n",
       "            ).addTo(map_d28444618893e06898770121a0c202da);\n",
       "        \n",
       "    \n",
       "        var popup_bd5b95d3461a7ec9aa02c8222be8eb81 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_b412347655ad2cd2380b616ce97e0ab1 = $(`&lt;div id=&quot;html_b412347655ad2cd2380b616ce97e0ab1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Miraflores&lt;/div&gt;`)[0];\n",
       "            popup_bd5b95d3461a7ec9aa02c8222be8eb81.setContent(html_b412347655ad2cd2380b616ce97e0ab1);\n",
       "        \n",
       "\n",
       "        marker_aac915db1eeb03c9d9c2187d381e2896.bindPopup(popup_bd5b95d3461a7ec9aa02c8222be8eb81)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_aac915db1eeb03c9d9c2187d381e2896.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Miraflores\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_2962937d35847e47b2d9b0d843338c85 = L.marker(\n",
       "                [40.547425, -3.654149],\n",
       "                {}\n",
       "            ).addTo(map_d28444618893e06898770121a0c202da);\n",
       "        \n",
       "    \n",
       "        var popup_37ae33b38b9809022ee32774a7cf5102 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_21d9b8398e98cb64a02442dbe6145fb1 = $(`&lt;div id=&quot;html_21d9b8398e98cb64a02442dbe6145fb1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Valdelasfuentes&lt;/div&gt;`)[0];\n",
       "            popup_37ae33b38b9809022ee32774a7cf5102.setContent(html_21d9b8398e98cb64a02442dbe6145fb1);\n",
       "        \n",
       "\n",
       "        marker_2962937d35847e47b2d9b0d843338c85.bindPopup(popup_37ae33b38b9809022ee32774a7cf5102)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_2962937d35847e47b2d9b0d843338c85.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Valdelasfuentes\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f514d988100>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = folium.Map(location=[40.5475,-3.64209],\n",
    "    zoom_start=13,\n",
    "    tiles='Stamen Terrain')\n",
    "\n",
    "tooltip ='La Chopera'\n",
    "\n",
    "folium.Marker([\t40.5358796 , -3.7016036], popup='La Chopera', tooltip=tooltip).add_to(m)\n",
    "\n",
    "tooltip = 'La Moraleja'\n",
    "\n",
    "folium.Marker([40.531936 , -3.635167], popup='La Moraleja', tooltip=tooltip).add_to(m)\n",
    "\n",
    "tooltip = 'Marqués de la Valdavia'\n",
    "\n",
    "folium.Marker([40.541 , -3.6374], popup='Marqués de la Valdavia', tooltip=tooltip).add_to(m)\n",
    "\n",
    "tooltip = 'Miraflores'\n",
    "\n",
    "folium.Marker([40.5358796, -3.7016036], popup='Miraflores', tooltip=tooltip).add_to(m)\n",
    "\n",
    "tooltip = 'Valdelasfuentes'\n",
    "\n",
    "folium.Marker([40.547425 , -3.654149], popup='Valdelasfuentes', tooltip=tooltip).add_to(m)\n",
    "\n",
    "m\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El resultado es este. No entiendo por qué *La Chopera* no sale representada. Puede ser interesante de nuevo recuperar el estilo de mapa sobre las calles y que en la zona zanitaria aparezca también el número de contagios totales."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
       "&lt;head&gt;    \n",
       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
       "    \n",
       "        &lt;script&gt;\n",
       "            L_NO_TOUCH = false;\n",
       "            L_DISABLE_3D = false;\n",
       "        &lt;/script&gt;\n",
       "    \n",
       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
       "    \n",
       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
       "            &lt;style&gt;\n",
       "                #map_9342c5aefeeaacf5c32b2537bb55719d {\n",
       "                    position: relative;\n",
       "                    width: 100.0%;\n",
       "                    height: 100.0%;\n",
       "                    left: 0.0%;\n",
       "                    top: 0.0%;\n",
       "                }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_9342c5aefeeaacf5c32b2537bb55719d&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "&lt;/body&gt;\n",
       "&lt;script&gt;    \n",
       "    \n",
       "            var map_9342c5aefeeaacf5c32b2537bb55719d = L.map(\n",
       "                &quot;map_9342c5aefeeaacf5c32b2537bb55719d&quot;,\n",
       "                {\n",
       "                    center: [40.5475, -3.64209],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 13,\n",
       "                    zoomControl: true,\n",
       "                    preferCanvas: false,\n",
       "                }\n",
       "            );\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_a139ba7c15ab7c3109bc42f99c174c6c = L.tileLayer(\n",
       "                &quot;https://stamen-tiles-{s}.a.ssl.fastly.net/toner/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Map tiles by \\u003ca href=\\&quot;http://stamen.com\\&quot;\\u003eStamen Design\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://creativecommons.org/licenses/by/3.0\\&quot;\\u003eCC BY 3.0\\u003c/a\\u003e. Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            ).addTo(map_9342c5aefeeaacf5c32b2537bb55719d);\n",
       "        \n",
       "    \n",
       "            var marker_2f9b4758fd18e5e793ff199b990a6e9e = L.marker(\n",
       "                [40.5358796, -3.7016036],\n",
       "                {}\n",
       "            ).addTo(map_9342c5aefeeaacf5c32b2537bb55719d);\n",
       "        \n",
       "    \n",
       "        var popup_b7cc52c5f6be0cd70ed8e9f02102ea37 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_8fce7b7f2f741c02389d9005b841cf53 = $(`&lt;div id=&quot;html_8fce7b7f2f741c02389d9005b841cf53&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Chopera&lt;/div&gt;`)[0];\n",
       "            popup_b7cc52c5f6be0cd70ed8e9f02102ea37.setContent(html_8fce7b7f2f741c02389d9005b841cf53);\n",
       "        \n",
       "\n",
       "        marker_2f9b4758fd18e5e793ff199b990a6e9e.bindPopup(popup_b7cc52c5f6be0cd70ed8e9f02102ea37)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_2f9b4758fd18e5e793ff199b990a6e9e.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     La Chopera, 7.715\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_513c3a454df46aac922f5514b1dfef35 = L.marker(\n",
       "                [40.531936, -3.635167],\n",
       "                {}\n",
       "            ).addTo(map_9342c5aefeeaacf5c32b2537bb55719d);\n",
       "        \n",
       "    \n",
       "        var popup_a29f1df19ef05a228161773c00ad8821 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_dd570e910339d2ace3d395863a6923e4 = $(`&lt;div id=&quot;html_dd570e910339d2ace3d395863a6923e4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Moraleja&lt;/div&gt;`)[0];\n",
       "            popup_a29f1df19ef05a228161773c00ad8821.setContent(html_dd570e910339d2ace3d395863a6923e4);\n",
       "        \n",
       "\n",
       "        marker_513c3a454df46aac922f5514b1dfef35.bindPopup(popup_a29f1df19ef05a228161773c00ad8821)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_513c3a454df46aac922f5514b1dfef35.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     La Moraleja, 5.911\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_8105d3effff81d89087f381ea8dae8b9 = L.marker(\n",
       "                [40.541, -3.6374],\n",
       "                {}\n",
       "            ).addTo(map_9342c5aefeeaacf5c32b2537bb55719d);\n",
       "        \n",
       "    \n",
       "        var popup_72859e8b33440b796952774494858508 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_5070cf78b817a4b5a1defb974ea1e948 = $(`&lt;div id=&quot;html_5070cf78b817a4b5a1defb974ea1e948&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Marqués de la Valdavia&lt;/div&gt;`)[0];\n",
       "            popup_72859e8b33440b796952774494858508.setContent(html_5070cf78b817a4b5a1defb974ea1e948);\n",
       "        \n",
       "\n",
       "        marker_8105d3effff81d89087f381ea8dae8b9.bindPopup(popup_72859e8b33440b796952774494858508)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_8105d3effff81d89087f381ea8dae8b9.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Marqués de la Valdavia, 4.181\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_d384190924b3f33ad6a74b757b41761e = L.marker(\n",
       "                [40.5358796, -3.7016036],\n",
       "                {}\n",
       "            ).addTo(map_9342c5aefeeaacf5c32b2537bb55719d);\n",
       "        \n",
       "    \n",
       "        var popup_c0dae585e1de5fdaf53ce8a2ae4468af = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_7f9cbc2f7b660ca45b74b88edca31108 = $(`&lt;div id=&quot;html_7f9cbc2f7b660ca45b74b88edca31108&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Miraflores&lt;/div&gt;`)[0];\n",
       "            popup_c0dae585e1de5fdaf53ce8a2ae4468af.setContent(html_7f9cbc2f7b660ca45b74b88edca31108);\n",
       "        \n",
       "\n",
       "        marker_d384190924b3f33ad6a74b757b41761e.bindPopup(popup_c0dae585e1de5fdaf53ce8a2ae4468af)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_d384190924b3f33ad6a74b757b41761e.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Miraflores, 5.940\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_cb1b89617c0ba7dda848c94fb9c9e903 = L.marker(\n",
       "                [40.547425, -3.654149],\n",
       "                {}\n",
       "            ).addTo(map_9342c5aefeeaacf5c32b2537bb55719d);\n",
       "        \n",
       "    \n",
       "        var popup_67c00f1fca33d9cf4fbeb8d81def4ebd = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_47e727152117f0b32e21e46e920b3a68 = $(`&lt;div id=&quot;html_47e727152117f0b32e21e46e920b3a68&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Valdelasfuentes&lt;/div&gt;`)[0];\n",
       "            popup_67c00f1fca33d9cf4fbeb8d81def4ebd.setContent(html_47e727152117f0b32e21e46e920b3a68);\n",
       "        \n",
       "\n",
       "        marker_cb1b89617c0ba7dda848c94fb9c9e903.bindPopup(popup_67c00f1fca33d9cf4fbeb8d81def4ebd)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_cb1b89617c0ba7dda848c94fb9c9e903.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Valdelasfuentes, 5.948\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f514d8e8340>"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = folium.Map(location=[40.5475,-3.64209],\n",
    "    zoom_start=13,\n",
    "              tiles='Stamen Toner')\n",
    "\n",
    "tooltip ='La Chopera, 7.715'\n",
    "\n",
    "folium.Marker([\t40.5358796 , -3.7016036], popup='La Chopera', tooltip=tooltip).add_to(m)\n",
    "\n",
    "tooltip = 'La Moraleja, 5.911'\n",
    "\n",
    "folium.Marker([40.531936 , -3.635167], popup='La Moraleja', tooltip=tooltip).add_to(m)\n",
    "\n",
    "tooltip = 'Marqués de la Valdavia, 4.181'\n",
    "\n",
    "folium.Marker([40.541 , -3.6374], popup='Marqués de la Valdavia', tooltip=tooltip).add_to(m)\n",
    "\n",
    "tooltip = 'Miraflores, 5.940'\n",
    "\n",
    "folium.Marker([40.5358796, -3.7016036], popup='Miraflores', tooltip=tooltip).add_to(m)\n",
    "\n",
    "tooltip = 'Valdelasfuentes, 5.948'\n",
    "\n",
    "folium.Marker([40.547425 , -3.654149], popup='Valdelasfuentes', tooltip=tooltip).add_to(m)\n",
    "\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Este estilo no me convence así que vuelvo al que genera folium por defecto, eliminando la sistaxis de `tiles`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
       "&lt;head&gt;    \n",
       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
       "    \n",
       "        &lt;script&gt;\n",
       "            L_NO_TOUCH = false;\n",
       "            L_DISABLE_3D = false;\n",
       "        &lt;/script&gt;\n",
       "    \n",
       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
       "    \n",
       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
       "            &lt;style&gt;\n",
       "                #map_98174d2b24eb93884f342665eb65807e {\n",
       "                    position: relative;\n",
       "                    width: 100.0%;\n",
       "                    height: 100.0%;\n",
       "                    left: 0.0%;\n",
       "                    top: 0.0%;\n",
       "                }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_98174d2b24eb93884f342665eb65807e&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "&lt;/body&gt;\n",
       "&lt;script&gt;    \n",
       "    \n",
       "            var map_98174d2b24eb93884f342665eb65807e = L.map(\n",
       "                &quot;map_98174d2b24eb93884f342665eb65807e&quot;,\n",
       "                {\n",
       "                    center: [40.5475, -3.64209],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 13,\n",
       "                    zoomControl: true,\n",
       "                    preferCanvas: false,\n",
       "                }\n",
       "            );\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_f573a0d549ad01d9c54f06982f306f56 = L.tileLayer(\n",
       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            ).addTo(map_98174d2b24eb93884f342665eb65807e);\n",
       "        \n",
       "    \n",
       "            var marker_10fd8819c092c7b9d4dab9e0e8202f21 = L.marker(\n",
       "                [40.5358796, -3.7016036],\n",
       "                {}\n",
       "            ).addTo(map_98174d2b24eb93884f342665eb65807e);\n",
       "        \n",
       "    \n",
       "        var popup_2376f2c36d10b48888a384c3f8b2b651 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_d4e5907148231267c6afdbbdb5305d51 = $(`&lt;div id=&quot;html_d4e5907148231267c6afdbbdb5305d51&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Chopera&lt;/div&gt;`)[0];\n",
       "            popup_2376f2c36d10b48888a384c3f8b2b651.setContent(html_d4e5907148231267c6afdbbdb5305d51);\n",
       "        \n",
       "\n",
       "        marker_10fd8819c092c7b9d4dab9e0e8202f21.bindPopup(popup_2376f2c36d10b48888a384c3f8b2b651)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_10fd8819c092c7b9d4dab9e0e8202f21.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     La Chopera, 7.715\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_5df56e20d8b551c1408b1ede366c65e9 = L.marker(\n",
       "                [40.531936, -3.635167],\n",
       "                {}\n",
       "            ).addTo(map_98174d2b24eb93884f342665eb65807e);\n",
       "        \n",
       "    \n",
       "        var popup_0211c845b7250cd00bc7d7e338982192 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_74778c80793410c0a09c08f2579f43ee = $(`&lt;div id=&quot;html_74778c80793410c0a09c08f2579f43ee&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Moraleja&lt;/div&gt;`)[0];\n",
       "            popup_0211c845b7250cd00bc7d7e338982192.setContent(html_74778c80793410c0a09c08f2579f43ee);\n",
       "        \n",
       "\n",
       "        marker_5df56e20d8b551c1408b1ede366c65e9.bindPopup(popup_0211c845b7250cd00bc7d7e338982192)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_5df56e20d8b551c1408b1ede366c65e9.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     La Moraleja, 5.911\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_afc478c48550e42f084c5431a24cef27 = L.marker(\n",
       "                [40.541, -3.6374],\n",
       "                {}\n",
       "            ).addTo(map_98174d2b24eb93884f342665eb65807e);\n",
       "        \n",
       "    \n",
       "        var popup_ccd70c57f19a6d1c67350deeb8970cce = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_1f71eaf7d2ebc963403d9f7d3a5aba0e = $(`&lt;div id=&quot;html_1f71eaf7d2ebc963403d9f7d3a5aba0e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Marqués de la Valdavia&lt;/div&gt;`)[0];\n",
       "            popup_ccd70c57f19a6d1c67350deeb8970cce.setContent(html_1f71eaf7d2ebc963403d9f7d3a5aba0e);\n",
       "        \n",
       "\n",
       "        marker_afc478c48550e42f084c5431a24cef27.bindPopup(popup_ccd70c57f19a6d1c67350deeb8970cce)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_afc478c48550e42f084c5431a24cef27.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Marqués de la Valdavia, 4.181\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_e3102391f3a784555e015d2072989364 = L.marker(\n",
       "                [40.5358796, -3.7016036],\n",
       "                {}\n",
       "            ).addTo(map_98174d2b24eb93884f342665eb65807e);\n",
       "        \n",
       "    \n",
       "        var popup_5999562cd94f2f3c07f2d7adb68e0dcf = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_7c73cce58eb5d4aca4b39cf0b05ae4a6 = $(`&lt;div id=&quot;html_7c73cce58eb5d4aca4b39cf0b05ae4a6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Miraflores&lt;/div&gt;`)[0];\n",
       "            popup_5999562cd94f2f3c07f2d7adb68e0dcf.setContent(html_7c73cce58eb5d4aca4b39cf0b05ae4a6);\n",
       "        \n",
       "\n",
       "        marker_e3102391f3a784555e015d2072989364.bindPopup(popup_5999562cd94f2f3c07f2d7adb68e0dcf)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_e3102391f3a784555e015d2072989364.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Miraflores, 5.940\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_c780f5e8354a63fd41dcaeb109afae4f = L.marker(\n",
       "                [40.547425, -3.654149],\n",
       "                {}\n",
       "            ).addTo(map_98174d2b24eb93884f342665eb65807e);\n",
       "        \n",
       "    \n",
       "        var popup_69ae57ebdeb0007ba145e208c0463062 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_b92de80120fc1e38adffb5603d16576f = $(`&lt;div id=&quot;html_b92de80120fc1e38adffb5603d16576f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Valdelasfuentes&lt;/div&gt;`)[0];\n",
       "            popup_69ae57ebdeb0007ba145e208c0463062.setContent(html_b92de80120fc1e38adffb5603d16576f);\n",
       "        \n",
       "\n",
       "        marker_c780f5e8354a63fd41dcaeb109afae4f.bindPopup(popup_69ae57ebdeb0007ba145e208c0463062)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_c780f5e8354a63fd41dcaeb109afae4f.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Valdelasfuentes, 5.948\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f514d8fa910>"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = folium.Map(location=[40.5475,-3.64209],\n",
    "    zoom_start=13,)\n",
    "\n",
    "tooltip ='La Chopera, 7.715'\n",
    "\n",
    "folium.Marker([\t40.5358796 , -3.7016036], popup='La Chopera', tooltip=tooltip).add_to(m)\n",
    "\n",
    "tooltip = 'La Moraleja, 5.911'\n",
    "\n",
    "folium.Marker([40.531936 , -3.635167], popup='La Moraleja', tooltip=tooltip).add_to(m)\n",
    "\n",
    "tooltip = 'Marqués de la Valdavia, 4.181'\n",
    "\n",
    "folium.Marker([40.541 , -3.6374], popup='Marqués de la Valdavia', tooltip=tooltip).add_to(m)\n",
    "\n",
    "tooltip = 'Miraflores, 5.940'\n",
    "\n",
    "folium.Marker([40.5358796, -3.7016036], popup='Miraflores', tooltip=tooltip).add_to(m)\n",
    "\n",
    "tooltip = 'Valdelasfuentes, 5.948'\n",
    "\n",
    "folium.Marker([40.547425 , -3.654149], popup='Valdelasfuentes', tooltip=tooltip).add_to(m)\n",
    "\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para que los marcadores destaquen más interesa cambiarlos de color. Para ello introducimos al final de la sintaxis utilizada `icon=folium.Icon(color=\"elquequeramos\")`. Voy a escoger morado ya que creo que es el que más va a resaltar. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
       "&lt;head&gt;    \n",
       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
       "    \n",
       "        &lt;script&gt;\n",
       "            L_NO_TOUCH = false;\n",
       "            L_DISABLE_3D = false;\n",
       "        &lt;/script&gt;\n",
       "    \n",
       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
       "    \n",
       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
       "            &lt;style&gt;\n",
       "                #map_afd865aa224f27b38ecf191fe8f22790 {\n",
       "                    position: relative;\n",
       "                    width: 100.0%;\n",
       "                    height: 100.0%;\n",
       "                    left: 0.0%;\n",
       "                    top: 0.0%;\n",
       "                }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_afd865aa224f27b38ecf191fe8f22790&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "&lt;/body&gt;\n",
       "&lt;script&gt;    \n",
       "    \n",
       "            var map_afd865aa224f27b38ecf191fe8f22790 = L.map(\n",
       "                &quot;map_afd865aa224f27b38ecf191fe8f22790&quot;,\n",
       "                {\n",
       "                    center: [40.5475, -3.64209],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 13,\n",
       "                    zoomControl: true,\n",
       "                    preferCanvas: false,\n",
       "                }\n",
       "            );\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_cfaf8edb1fd289990e1c8ebc225c62ae = L.tileLayer(\n",
       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            ).addTo(map_afd865aa224f27b38ecf191fe8f22790);\n",
       "        \n",
       "    \n",
       "            var marker_9fd4f0ea675fedc99535304d3f5790f4 = L.marker(\n",
       "                [40.5358796, -3.7016036],\n",
       "                {}\n",
       "            ).addTo(map_afd865aa224f27b38ecf191fe8f22790);\n",
       "        \n",
       "    \n",
       "            var icon_8d96583624b10ef5e1a7147d1b064fc3 = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;purple&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_9fd4f0ea675fedc99535304d3f5790f4.setIcon(icon_8d96583624b10ef5e1a7147d1b064fc3);\n",
       "        \n",
       "    \n",
       "        var popup_9e325eda13182a6657c26f16afa776ae = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_7e931d309a70480eeca2216556a5d603 = $(`&lt;div id=&quot;html_7e931d309a70480eeca2216556a5d603&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Chopera&lt;/div&gt;`)[0];\n",
       "            popup_9e325eda13182a6657c26f16afa776ae.setContent(html_7e931d309a70480eeca2216556a5d603);\n",
       "        \n",
       "\n",
       "        marker_9fd4f0ea675fedc99535304d3f5790f4.bindPopup(popup_9e325eda13182a6657c26f16afa776ae)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_9fd4f0ea675fedc99535304d3f5790f4.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     La Chopera, 7.715\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_fba2869fb4b08c3d8ff3011363590e0e = L.marker(\n",
       "                [40.531936, -3.635167],\n",
       "                {}\n",
       "            ).addTo(map_afd865aa224f27b38ecf191fe8f22790);\n",
       "        \n",
       "    \n",
       "            var icon_037689c274a18a8363976cd89ba8e4bd = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;purple&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_fba2869fb4b08c3d8ff3011363590e0e.setIcon(icon_037689c274a18a8363976cd89ba8e4bd);\n",
       "        \n",
       "    \n",
       "        var popup_4126393a4a354f3ee9fa0b3d205ec58b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_28c32c3f71679a6a5a329c3d10fa28fb = $(`&lt;div id=&quot;html_28c32c3f71679a6a5a329c3d10fa28fb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Moraleja&lt;/div&gt;`)[0];\n",
       "            popup_4126393a4a354f3ee9fa0b3d205ec58b.setContent(html_28c32c3f71679a6a5a329c3d10fa28fb);\n",
       "        \n",
       "\n",
       "        marker_fba2869fb4b08c3d8ff3011363590e0e.bindPopup(popup_4126393a4a354f3ee9fa0b3d205ec58b)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_fba2869fb4b08c3d8ff3011363590e0e.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     La Moraleja, 5.911\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_0f47081480fa4be0bbdcffdf8c596123 = L.marker(\n",
       "                [40.541, -3.6374],\n",
       "                {}\n",
       "            ).addTo(map_afd865aa224f27b38ecf191fe8f22790);\n",
       "        \n",
       "    \n",
       "            var icon_4179583347874ad9527d6ae316222f42 = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;purple&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_0f47081480fa4be0bbdcffdf8c596123.setIcon(icon_4179583347874ad9527d6ae316222f42);\n",
       "        \n",
       "    \n",
       "        var popup_a5ec864709282f9e9a792e2c2854c4ac = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_965b789ab6fb03c85e452eeea431706a = $(`&lt;div id=&quot;html_965b789ab6fb03c85e452eeea431706a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Marqués de la Valdavia&lt;/div&gt;`)[0];\n",
       "            popup_a5ec864709282f9e9a792e2c2854c4ac.setContent(html_965b789ab6fb03c85e452eeea431706a);\n",
       "        \n",
       "\n",
       "        marker_0f47081480fa4be0bbdcffdf8c596123.bindPopup(popup_a5ec864709282f9e9a792e2c2854c4ac)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_0f47081480fa4be0bbdcffdf8c596123.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Marqués de la Valdavia, 4.181\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_270e51e02c9db2e764c550be6c7e1ed4 = L.marker(\n",
       "                [40.5358796, -3.7016036],\n",
       "                {}\n",
       "            ).addTo(map_afd865aa224f27b38ecf191fe8f22790);\n",
       "        \n",
       "    \n",
       "            var icon_bcd3adf9db37f4bc1661f2bf4d7983ba = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;purple&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_270e51e02c9db2e764c550be6c7e1ed4.setIcon(icon_bcd3adf9db37f4bc1661f2bf4d7983ba);\n",
       "        \n",
       "    \n",
       "        var popup_8d2f3f65ebcaabd46abe85a5718bb81c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_0130930f0d592c981a36abb5adca31eb = $(`&lt;div id=&quot;html_0130930f0d592c981a36abb5adca31eb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Miraflores&lt;/div&gt;`)[0];\n",
       "            popup_8d2f3f65ebcaabd46abe85a5718bb81c.setContent(html_0130930f0d592c981a36abb5adca31eb);\n",
       "        \n",
       "\n",
       "        marker_270e51e02c9db2e764c550be6c7e1ed4.bindPopup(popup_8d2f3f65ebcaabd46abe85a5718bb81c)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_270e51e02c9db2e764c550be6c7e1ed4.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Miraflores, 5.940\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_df9a5b9ff8d5f56c64df47c19db30206 = L.marker(\n",
       "                [40.547425, -3.654149],\n",
       "                {}\n",
       "            ).addTo(map_afd865aa224f27b38ecf191fe8f22790);\n",
       "        \n",
       "    \n",
       "            var icon_2d7ec32f096f50b9357b8b74edf97828 = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;purple&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_df9a5b9ff8d5f56c64df47c19db30206.setIcon(icon_2d7ec32f096f50b9357b8b74edf97828);\n",
       "        \n",
       "    \n",
       "        var popup_aabc0f9623612238ae21a60586793867 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_56b979c608618aa6fc6b2d704f5d2f62 = $(`&lt;div id=&quot;html_56b979c608618aa6fc6b2d704f5d2f62&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Valdelasfuentes&lt;/div&gt;`)[0];\n",
       "            popup_aabc0f9623612238ae21a60586793867.setContent(html_56b979c608618aa6fc6b2d704f5d2f62);\n",
       "        \n",
       "\n",
       "        marker_df9a5b9ff8d5f56c64df47c19db30206.bindPopup(popup_aabc0f9623612238ae21a60586793867)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_df9a5b9ff8d5f56c64df47c19db30206.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Valdelasfuentes, 5.948\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f514d86fc10>"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = folium.Map(location=[40.5475,-3.64209],\n",
    "    zoom_start=13,)\n",
    "\n",
    "tooltip ='La Chopera, 7.715'\n",
    "\n",
    "folium.Marker([\t40.5358796 , -3.7016036], popup='La Chopera', tooltip=tooltip, icon=folium.Icon(color=\"purple\")).add_to(m)\n",
    "\n",
    "tooltip = 'La Moraleja, 5.911'\n",
    "\n",
    "folium.Marker([40.531936 , -3.635167], popup='La Moraleja', tooltip=tooltip, icon=folium.Icon(color=\"purple\")).add_to(m)\n",
    "\n",
    "tooltip = 'Marqués de la Valdavia, 4.181'\n",
    "\n",
    "folium.Marker([40.541 , -3.6374], popup='Marqués de la Valdavia', tooltip=tooltip, icon=folium.Icon(color=\"purple\")).add_to(m)\n",
    "\n",
    "tooltip = 'Miraflores, 5.940'\n",
    "\n",
    "folium.Marker([40.5358796, -3.7016036], popup='Miraflores', tooltip=tooltip, icon=folium.Icon(color=\"purple\")).add_to(m)\n",
    "\n",
    "tooltip = 'Valdelasfuentes, 5.948'\n",
    "\n",
    "folium.Marker([40.547425 , -3.654149], popup='Valdelasfuentes', tooltip=tooltip, icon=folium.Icon(color=\"purple\")).add_to(m)\n",
    "\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Por último, puede ser interesante cambiar el icono del marcador. Escojo una imagen del Covid-19 y creando una variable para el icono, introduzdo `icon=folium.Icon`en la sintaxis de esta manera:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
       "&lt;head&gt;    \n",
       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
       "    \n",
       "        &lt;script&gt;\n",
       "            L_NO_TOUCH = false;\n",
       "            L_DISABLE_3D = false;\n",
       "        &lt;/script&gt;\n",
       "    \n",
       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
       "    \n",
       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
       "            &lt;style&gt;\n",
       "                #map_d07e1f42c32bada37bc0c46554e114fa {\n",
       "                    position: relative;\n",
       "                    width: 100.0%;\n",
       "                    height: 100.0%;\n",
       "                    left: 0.0%;\n",
       "                    top: 0.0%;\n",
       "                }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_d07e1f42c32bada37bc0c46554e114fa&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "&lt;/body&gt;\n",
       "&lt;script&gt;    \n",
       "    \n",
       "            var map_d07e1f42c32bada37bc0c46554e114fa = L.map(\n",
       "                &quot;map_d07e1f42c32bada37bc0c46554e114fa&quot;,\n",
       "                {\n",
       "                    center: [40.5475, -3.64209],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 13,\n",
       "                    zoomControl: true,\n",
       "                    preferCanvas: false,\n",
       "                }\n",
       "            );\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_df8c6806f6985dbbc9933b58e7492b9a = L.tileLayer(\n",
       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            ).addTo(map_d07e1f42c32bada37bc0c46554e114fa);\n",
       "        \n",
       "    \n",
       "            var marker_ed27381e621ebecdd6c9b1ada6883de1 = L.marker(\n",
       "                [40.5358796, -3.7016036],\n",
       "                {}\n",
       "            ).addTo(map_d07e1f42c32bada37bc0c46554e114fa);\n",
       "        \n",
       "    \n",
       "            var icon_6db2755a10a6263deb00f652bdf8a089 = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;purple&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_ed27381e621ebecdd6c9b1ada6883de1.setIcon(icon_6db2755a10a6263deb00f652bdf8a089);\n",
       "        \n",
       "    \n",
       "        var popup_971b0c609c94d31ca1efc1356319c4b2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_b2cd0e4bf925a6657c63352031f3ec9d = $(`&lt;div id=&quot;html_b2cd0e4bf925a6657c63352031f3ec9d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Chopera&lt;/div&gt;`)[0];\n",
       "            popup_971b0c609c94d31ca1efc1356319c4b2.setContent(html_b2cd0e4bf925a6657c63352031f3ec9d);\n",
       "        \n",
       "\n",
       "        marker_ed27381e621ebecdd6c9b1ada6883de1.bindPopup(popup_971b0c609c94d31ca1efc1356319c4b2)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_ed27381e621ebecdd6c9b1ada6883de1.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     La Chopera, 7.715\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_ac5f00b3aba7e307970748f9ab27f2cd = L.marker(\n",
       "                [40.531936, -3.635167],\n",
       "                {}\n",
       "            ).addTo(map_d07e1f42c32bada37bc0c46554e114fa);\n",
       "        \n",
       "    \n",
       "            var icon_9fcf5ebeb0683a7e285be201ea4b0836 = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;purple&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_ac5f00b3aba7e307970748f9ab27f2cd.setIcon(icon_9fcf5ebeb0683a7e285be201ea4b0836);\n",
       "        \n",
       "    \n",
       "        var popup_603dc1b49eca817dcc0b8744411f4b4a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_b4a8bc89e6bef7dbada8e508d03f7faf = $(`&lt;div id=&quot;html_b4a8bc89e6bef7dbada8e508d03f7faf&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Moraleja&lt;/div&gt;`)[0];\n",
       "            popup_603dc1b49eca817dcc0b8744411f4b4a.setContent(html_b4a8bc89e6bef7dbada8e508d03f7faf);\n",
       "        \n",
       "\n",
       "        marker_ac5f00b3aba7e307970748f9ab27f2cd.bindPopup(popup_603dc1b49eca817dcc0b8744411f4b4a)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_ac5f00b3aba7e307970748f9ab27f2cd.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     La Moraleja, 5.911\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_28773a44b89d3bc590862e14dc1ee3a9 = L.marker(\n",
       "                [40.541, -3.6374],\n",
       "                {}\n",
       "            ).addTo(map_d07e1f42c32bada37bc0c46554e114fa);\n",
       "        \n",
       "    \n",
       "            var icon_b0ef0aaaca86a1dd04d99ce6ec95dd1b = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;purple&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_28773a44b89d3bc590862e14dc1ee3a9.setIcon(icon_b0ef0aaaca86a1dd04d99ce6ec95dd1b);\n",
       "        \n",
       "    \n",
       "        var popup_3487b1ada19f140e88c1b4f6a141a05b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_6862d859999c0638ca35967d99b76b7b = $(`&lt;div id=&quot;html_6862d859999c0638ca35967d99b76b7b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Marqués de la Valdavia&lt;/div&gt;`)[0];\n",
       "            popup_3487b1ada19f140e88c1b4f6a141a05b.setContent(html_6862d859999c0638ca35967d99b76b7b);\n",
       "        \n",
       "\n",
       "        marker_28773a44b89d3bc590862e14dc1ee3a9.bindPopup(popup_3487b1ada19f140e88c1b4f6a141a05b)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_28773a44b89d3bc590862e14dc1ee3a9.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Marqués de la Valdavia, 4.181\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_b056461535e8ba5b734272e99b0a9474 = L.marker(\n",
       "                [40.5358796, -3.7016036],\n",
       "                {}\n",
       "            ).addTo(map_d07e1f42c32bada37bc0c46554e114fa);\n",
       "        \n",
       "    \n",
       "            var icon_0ce05640dc4f7fa48a6a1006b68ce9d5 = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;purple&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_b056461535e8ba5b734272e99b0a9474.setIcon(icon_0ce05640dc4f7fa48a6a1006b68ce9d5);\n",
       "        \n",
       "    \n",
       "        var popup_515c8d1def8535504a539e5037b3446e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_193952357fc2f73ebd43a1500c5d593a = $(`&lt;div id=&quot;html_193952357fc2f73ebd43a1500c5d593a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Miraflores&lt;/div&gt;`)[0];\n",
       "            popup_515c8d1def8535504a539e5037b3446e.setContent(html_193952357fc2f73ebd43a1500c5d593a);\n",
       "        \n",
       "\n",
       "        marker_b056461535e8ba5b734272e99b0a9474.bindPopup(popup_515c8d1def8535504a539e5037b3446e)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_b056461535e8ba5b734272e99b0a9474.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Miraflores, 5.940\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_9c5d7418c0798dfbaa4a90ac6cafa37e = L.marker(\n",
       "                [40.547425, -3.654149],\n",
       "                {}\n",
       "            ).addTo(map_d07e1f42c32bada37bc0c46554e114fa);\n",
       "        \n",
       "    \n",
       "            var icon_969665896828804dc2dce9345e05e88e = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;purple&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_9c5d7418c0798dfbaa4a90ac6cafa37e.setIcon(icon_969665896828804dc2dce9345e05e88e);\n",
       "        \n",
       "    \n",
       "        var popup_df664d166bfe5e3b2e050020a52f9619 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_d87c8c5344e769067841ae3777aefe44 = $(`&lt;div id=&quot;html_d87c8c5344e769067841ae3777aefe44&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Valdelasfuentes&lt;/div&gt;`)[0];\n",
       "            popup_df664d166bfe5e3b2e050020a52f9619.setContent(html_d87c8c5344e769067841ae3777aefe44);\n",
       "        \n",
       "\n",
       "        marker_9c5d7418c0798dfbaa4a90ac6cafa37e.bindPopup(popup_df664d166bfe5e3b2e050020a52f9619)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_9c5d7418c0798dfbaa4a90ac6cafa37e.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Valdelasfuentes, 5.948\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f514d7f16a0>"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = folium.Map(location=[40.5475,-3.64209],\n",
    "    zoom_start=13,)\n",
    "\n",
    "icon_url = \"https://www.who.int/images/default-source/health-topics/health-financing/novel-coronavirus-ru.jpg?sfvrsn=755458c4_12\"\n",
    "\n",
    "tooltip ='La Chopera, 7.715'\n",
    "icon = folium.features.CustomIcon(icon_url,icon_size=(28, 30))\n",
    "folium.Marker([\t40.5358796 , -3.7016036], popup='La Chopera', tooltip=tooltip, icon=folium.Icon(color=\"purple\")).add_to(m)\n",
    "\n",
    "tooltip = 'La Moraleja, 5.911'\n",
    "icon = folium.features.CustomIcon(icon_url,icon_size=(28, 30))\n",
    "folium.Marker([40.531936 , -3.635167], popup='La Moraleja', tooltip=tooltip, icon=folium.Icon(color=\"purple\")).add_to(m)\n",
    "\n",
    "tooltip = 'Marqués de la Valdavia, 4.181'\n",
    "icon = folium.features.CustomIcon(icon_url,icon_size=(28, 30))\n",
    "folium.Marker([40.541 , -3.6374], popup='Marqués de la Valdavia', tooltip=tooltip, icon=folium.Icon(color=\"purple\")).add_to(m)\n",
    "\n",
    "tooltip = 'Miraflores, 5.940'\n",
    "icon = folium.features.CustomIcon(icon_url,icon_size=(28, 30))\n",
    "folium.Marker([40.5358796, -3.7016036], popup='Miraflores', tooltip=tooltip, icon=folium.Icon(color=\"purple\")).add_to(m)\n",
    "\n",
    "tooltip = 'Valdelasfuentes, 5.948'\n",
    "icon = folium.features.CustomIcon(icon_url,icon_size=(28, 30))\n",
    "folium.Marker([40.547425 , -3.654149], popup='Valdelasfuentes', tooltip=tooltip, icon=folium.Icon(color=\"purple\")).add_to(m)\n",
    "\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tras haber comprendido, analizado y jugado con la visualización de los datos construimos una historia para poner en práctica la utilidad de las herramientas utilizadas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**HISTORIA** (suponer que es 30 de marzo)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Alcobendas registra cerca de 30.000 casos de coronavirus en personas mayores de 60 años desde el inicio de la pandemia"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## La Chopera es la zona con más casos confirmados, 7.715 en dos años frente a los 4.181 de Marqués de la Valdavia, la zona menos golpeada del municipio en este segmento de la población"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El municipio de Alcobendas cuenta **29.695** casos de Covid-19 en personas mayores de 60 años desde el 25 de marzo de 2020 hasta el pasado 29 de marzo. Dos años y cuatro días después del inicio de la pandemia **la tasa de incidencia ha bajado un 104%**, pero aún hay contagios. La Moraleja encabeza la lista con un total de 66 en los últimos 14 días, seguida solo con un caso menos por Valdelasfuentes. El tercer lugar lo ocupa Marqués de la Valdavia, con 55 nuevos contagios, seguido de La Chopera con 50 y de Miraflores con 41 casos confirmados en los últimos 14 días en personas mayores de 60 años."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Tasa total de incidencia acumulada en personas mayores de 60 años en Alcobendas'}, xlabel='fecha informe'>"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.set_index('fecha informe')['Tasa de incidencia acumulada total'].plot(title=\"Tasa total de incidencia acumulada en personas mayores de 60 años en Alcobendas\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">La tasa de incidencia acumulada ha disminuido un **104%** desde el inicio  de la pandemia en Alcobendas en las personas mayores de 60 años "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Casos de Covid-19 en personas de 60 o más años de edad en Alcobendas')"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "eje_x = ['La Chopera', 'La Moraleja', 'Marqués de la Valdavia', 'Miraflores', 'Valdelasfuentes']\n",
    "eje_y = [50,66,55,41,65]\n",
    "plt.barh(eje_x, eje_y, color=\"pink\")\n",
    "plt.ylabel('Zonas sanitarias')\n",
    "plt.xlabel('Casos confirmados totales')\n",
    "plt.title('Casos de Covid-19 en personas de 60 o más años de edad en Alcobendas')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Con 66 nuevos casos La Moraleja es la zona sanitaria de Alcobendas que encabeza la lista de contagios en los últimos 14 días."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En total se han registrado **277 nuevos casos en los últimos 14 días**. Pero las cifras de los últimos dos años cambian el ránking. La Chopera es la zona sanitaria con más casos confirmados en este segmento de la población con un total de 7.715 en dos años, seguida de Valdelasfuentes con 5.948 contagios, a quien pisa los talones Miraflores, con 5.940 registros, sólo 8 menos. No muy lejos le sigue La Moraleja, con 5.911 casos confirmados seguida por, en quinto y último lugar, Marqués de la Valdavia con 4.181 personas de 60 años en adelante contagiadas en los últimos dos años. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8roPvco38/b2Y538TMDSXjSY3+MqftwWerjOdwcx8VcvzwBGF8rrrvjBuz8LwB+Rh3yBV/59cKSc12ryaVA3+ODOfK65etzNNm3Qq6hXS9ncChSsaaN12tjapNvGN6u2IlFwen2N+JXfP0r6jMPwheX6v5HVUs71KnXX+NDNfDXEeuW1AjnF8XjcTSQeSp3PZeqS2GNMK8613Nc1wUk3gtDzcR1d61IlpXOH76Z23g+fy62Ty1QykRqJT8jp8Gvhpg3X0aVJbs3pXtXyB1Mi3cuXD2Q2mtUke/xXSb+ga4BO5bGXSPnA6VVe1kE4NXJnXw5Okf9YftUUgnW65muavamkUx0frMH8eWWtapJqN94F1a5RdC/w2dxfj7EPaRz7DjKtzKle17EXanqfm2IpX7UxhxlUtrwHnAH2rvqN7mXF15MXkdl1U7R+Z9Td/JGn/U+uqlkbbX919Tr2X8ohm1gKSBgNPkBoXvt/icMzMupxPtZiZmVlpnHiYmZlZaXyqxczMzErjGg8zMzMrzYL2UCmbywYOHBiDBw9udRhmZvOV8ePHvxQRg1odRys48bA5MnjwYNrb21sdhpnZfEVSo7uqdms+1WJmZmalceJhZmZmpXHiYWZmZqVx4mFmZmalceJhZmZmpXHiYWZmZqVx4mFmZmalceJhZmZmpfENxGzOvDIeLlCrozCzuWmEn+FlXcc1HmZmZlYaJx5mZmZWGiceZmZmVhonHmZmZlYaJx5mZmZWGiceZmZmVhonHmZmZlYaJx5mZmZWGiceZmZmVhonHmZmZlYaJx5mZmZWGiceZmZmVhonHmZmZlaaBSbxkHSzpJ2q+h0m6bQ6w4+T1Faj/0hJp3Qwrw6HaTDubyQ9KOk3szN+BzEtOzenaWZm1lkLTOIBjAH2r+q3f+4/LzkYWC8ivj+XpzsScOJhZmYttSAlHpcAu0haGEDSYNKB+ABJ7bmW4ahaI0o6SNJjku4Btij0HyTpUkn35tcWNcbdTdLdkiZIulHS0rn/NpIm5tcESYtJugroB4yXtJ+k0ZKGF6Y1vdD9/TzPSZW4JQ2W9LCkM/PyXC+pT55GG3B+nl8fScMk3SJpvKTrJC2Tp3GopIfydMfO4To3MzObyQKTeETEK8A9wGdyr/2Bi4AfR0QbsB6wjaT1iuPlA/JRpIRjS2BIofh3wIkRsRGwD3BWjVnfDmwaERsAY4Ejcv/vAd+IiKHAVsBbEbF7fh8aERfWWxZJnwJWAzYGhgLDJG2di1cDTo2ItYHXgH0i4hKgHfhcnt/7wO+B4RExDDgb+FUe/0hgg4hYDzikzvwPzsla+4vT6kVpZmY2q56tDqBkldMtV+b3LwOflXQwaV0sQ0osJhXG2QQYFxEvAki6EFg9l+0ADJFUGba/pH5V81weuDAnMAsDT+T+dwAnSDofuCwinu7Ecnwqvybkz/1ICcd/gCciYmLuPx4YXGP8NYB1gBty7AsBz+WySaSakSuAK2rNPCLOAM4AaFtZ0Ym4zcxsAbegJR5XAidK2hDoC7xCqnnYKCJelTQa6N2J6fUg1Wa8XexZSEQg1SycEBFXSdoWGAUQEcdKugbYGbhD0k4R8UjV9N/P80BSD1LiAiDg1xHxx6r5DgbeKfT6AOhTI24BD0bEZjXKdgG2BnYDfixp3Yh4v8ZwZmZmnbbAnGoBiIjpwM2kUwtjgP7AG8DU3PbiMzVGu5t0CmYpSb2AfQtl1wPfqnyQNLTG+AOAZ3L3gYVhV4mIyRFxHHAvsGaNcacAw3L37kCv3H0d8KVK7Yqk5SR9rM5iV0wDFsvdjwKDJG2Wx+8lae2c3KwQETcDP8ixV9fgmJmZzbYFrcYDUsJxObB/RDwiaQLwCPAU6fTHTCLiOUmjgLtIbSYmFooPBU6VNIm0Lm9l1nYRo4CLJb0K3ASslPsfJmk74EPgQeCvNWI9E7hS0v3A30hJEhFxvaS1gLty7cp04POkGo56RgOnS3oL2AwYDpwsaUCO/STgMeC83E/AyRHxWoNpmpmZdYoifIreZl/byor2o1sdhZnNVSN8XOhqksbnCxsWOAvUqRYzMzNrLSceZmZmVhonHmZmZlYaJx5mZmZWGiceZmZmVhonHmZmZlYaJx5mZmZWGiceZmZmVhonHmZmZlYaJx5mZmZWmgXxWS02Ny05DEa0tzoKMzObT7jGw8zMzErjxMPMzMxK48TDzMzMSuPEw8zMzErjxMPMzMxK48TDzMzMSuPEw8zMzErj+3jYnHllPFygVkdhZnPTiGh1BNaNucbDzMzMSuPEw8zMzErjxMPMzMxK48TDzMzMSuPEw8zMzErjxMPMzMxK48TDzMzMSuPEw8zMzErjxMPMzMxK48TDzMzMSuPEw8zMzErjxMPMzMxK48TDzMzMSuPEowSSQtJ5hc89Jb0o6er8eXdJR87GdMdImiTpO5JGSxo+N+M2MzOb23q2OoAFxBvAOpL6RMRbwI7AM5XCiLgKuKp6JEk9I+L9WhOU9HFgo4hYNX8e3ZmAJC0UER90ZhwzM7M55RqP8lwL7JK7DwDGVAokjZR0Su4eLel0SXcDx0vaWNJdkiZIulPSGnm064HlJE2UtFVxRpK2z8NPlnS2pEVy/ymSjpN0H7CvpE/lad8n6WJJ/fJwx0p6KNem/LZL14qZmS1QnHiUZyywv6TewHrA3Q2GXR7YPCIOBx4BtoqIDYCfAcfkYXYHHo+IoRFxW2XEPP3RwH4RsS6pVuvrhWm/HBEbAjcCPwF2yJ/bgcMlLQXsBawdEesBR1cHJ+lgSe2S2l+c1un1YGZmC7BOJR6SlpC0XlcF051FxCRgMKm249oOBr+4cBpkAHCxpAeAE4G1Oxh3DeCJiHgsfz4H2LpQfmF+3xQYAtwhaSJwILAiMBV4G/iTpL2BN2ssyxkR0RYRbYMW6yAaMzOzgg4TD0njJPWXtCRwH3CmpBO6PrRu6SrgtxROs9TxRqH7l8DNEbEOsBvQew5jqExbwA25xmRoRAyJiC/nNiUbA5cAuwJ/m8P5mZmZfaSZGo8BEfE6sDdwbkRsAuzQtWF1W2cDR0XE5E6MM4AZDVFHNjH8o8BgSavmz18Abqkx3D+ALSrDSVpU0uq5nceAiLgW+A6wfidiNTMza6iZxKOnpGWAzwJXd3E83VpEPB0RJ3dytOOBX0uaQBNXIUXE28BBpNMzk4EPgdNrDPciKZEZI2kScBewJrAYcHXudztweCfjNTMzq0sR0XgAaV/gp8DtEfE/klYGfhMR+5QRoM3b2lZWtM/S/NTM5msjGh8XbM5JGh8Rba2OoxWa+Qd9MXBx4fO/AScdZmZm1mkdJh758swvk66m+KhhY0R8qQvjMjMzs26omTYefwE+DuxEaqS4POC7N5iZmVmnNZN4rBoRPwXeiIhzSHff3KRrwzIzM7PuqJnE4738/pqkdUiXd36s60IyMzOz7qqZh8SdIWkJ0pUtVwH9SLfuNjMzM+uUZq5qOSt33gKs3LXhmJmZWXdWN/GQ9PmIOE9SzRtIRYRvm25mZmad0qjGY9H87seAmZmZ2VxRN/GIiD9KWgh4PSJOLDEmMzMz66YatvGIiA8kHUB6HLvZrJYcBiPaWx2FmZnNJ5q5quUOSacAF1J4XHtE3NdlUZmZmVm31EziMTS//6LQL4BPzvVozMzMrFtr5nLa7coIxMzMzLq/Zmo8kLQLsz4k7hf1xzAzMzObVYe3TJd0OrAf8C1AwL7Ail0cl5mZmXVDzTyrZfOI+CLwakQcBWwGrN61YZmZmVl31Ezi8VZ+f1PSsqSHxi3TdSGZmZlZd9VMG4+rJS0O/Aa4j3RFy1kNxzAzMzOrQRHReABpkYh4p9JNamD6dqWfLdjaVla0H93qKMw6YUTjfZ5ZGSSNj4i2VsfRCs2carmr0hER70TE1GI/MzMzs2Y1ejrtx4HlgD6SNiBd0QLQH+hbQmxmZmbWzTRq47ETMBJYHjih0H8a8KMujMnMzMy6qUZPpz0HOEfSPhFxaYkxmZmZWTfV6FTL5yPiPGCwpMOryyPihBqjmZmZmdXV6FTLovm9XxmBmJmZWffX6FTLH/P7UeWFY2ZmZt1ZhzcQkzQI+CowuDh8RHyp68IyMzOz7qiZO5deCdwG3Ah80LXhmJmZWXfWTOLRNyJ+0OWRmJmZWbfXzJ1Lr5a0c5dHYmZmZt1eM4nHt0nJx1uSXpc0TdLrXR3Y3CCpp6Rv5mfMmJmZWYt1mHhExGIR0SMi+kRE//y5f0fjSQpJ5xU+95T0oqSr5zToZkgScBIwaXYfaCdplKTvdWL4kZJOaXLYvpJeltS/qv8VkvZrMN70Ov1HSxrebKxV454lacjsjGtmZtYZzbTxQNISwGqkJ9MCEBG3djDaG8A6kvpExFvAjsAznQlOUs+IeL8z4xTiC+CbszNuGSLiTUnXAXsB5wBIGgBsCYwoOZavlDk/MzNbcHVY4yHpK8CtwHXAUfl9VJPTvxbYJXcfAIwpTHdjSXdJmiDpTklr5P4jJV0l6Sbg75L6SBor6WFJl0u6W1JbHnZ6YXrDJY3O3YMkXSrp3vzaIvffRtLE/JogabEay/tjSY9Juh1Yo9B/FUl/kzRe0m2S1uxgve2WY50g6UZJS9cYbAywf+HzXqT120PS3yXdJ2mypD1qTF+STpH0qKQbgY8Vyn6Wl/sBSWfkYdeUdE9hmMGSJufucYV1epqkdkkPSvI9XMzMbK5qto3HRsCTEbEdsAHwWpPTHwvsL6k3sB5wd6HsEWCriNgA+BlwTKFsQ2B4RGwDfB14MyLWAn4ODGtivr8DToyIjYB9gLNy/+8B34iIocBWwFvFkSQNIyUCQ4GdSctdcQbwrYgYlqfzhw5iuB3YNC/fWOCIGsNcB2woaan8eX9SMvI2sFdEbAhsB/xvPnVUtBcpMRoCfBHYvFB2SkRsFBHrAH2AXSPiEWBhSSvlYfYDLqwR048joo30fW0jab3qASQdnJOT9hendbAWzMzMCpo51fJ2RLwtCUmLRMQjldqJjkTEJEmDSbUd11YVDyA9hG41IIBehbIbIuKV3L01cHJhepOamPUOwJDCsbq/pH7AHcAJks4HLouIp6vG2wq4PCLeBJB0VX7vRzqwX1yYZkcNVpcHLpS0DLAw8ET1ABHxbp7HcEmXkpK66wABx0jaGvgQWA5YGni+MPrWwJiI+AB4NtcQVWwn6QigL7Ak8CDwf8BFpITj2Pxeqy3JZyUdTNo2liElNjOt84g4g5SI0bayooP1YGZm9pFmEo+nJS0OXAHcIOlV4MlOzOMq4LfAtsBShf6/BG6OiL1ycjKuUPZGk9MuHvR6F7p7kGob3q4a/lhJ15BqM+6QtFOuCehID+C1XFPSrN8DJ0TEVZK2pf7pqTHAT0nJxpUR8Z6kkcAgYFj+PIWZl6+uXLv0B6AtIp6SNKow7oWk5OkyUjOYf1aNuxKpNmejiHg1n7pqar5mZmbNaOaqlr0i4rWIGEU6QP4J2LMT8zgbOCoiJlf1H8CMxqYjG4x/K7mxpaR1SKcAKv4raS1JPUinHiquB75V+SBpaH5fJSImR8RxwL1AdTuNW4E9c7uSxYDdACLideAJSfvm6UjS+g2XeublO7DBcONIDXe/wYw2MAOAF3LSsR2wYo3xbgX2k7RQrlXZLvevJAov5Zqaj650iYjHSXef/Sm1T7P0JyV9U3OblM80XEIzM7NOaqZx6SqacR8MkZ7Z0rfZGUTE0xFxco2i44FfS5pA45qX04B+kh4GfgGML5QdCVwN3Ak8V+h/KNAmaZKkh4BDcv/DcoPLScB7wF+rYr2PdEC+P5fdWyj+HPBlSfeTTl3M0uCzyihS7cJ44KV6A0XEh8AlpNqgW3Lv83P8k0ntN2rVylwO/BN4CDgXuCtP7zXgTOAB0mmbe6vGuxD4POm0S3Us9wMT8vwuIJ2aMjMzm2uUrjptMIA0EWgjJRzXkp7dsnZEtORuppLGAd+LiPZWzN9m1rayov3oVkdh1gkj3CzJWk/S+NyQf4HTzFUtH+Z7aewF/D4ivk9qdGhmZmbWKc00Ln1P0gGkdgq75X69GgzfpSJi21bN28zMzOZMMzUeBwGbAb+KiCfylQ9/6dqwzMzMrDvqsMYjIh4iNdasfH4COK4rgzIzM7PuqZkaDzMzM7O5womHmZmZlaZTiYekHqp6jLuZmZlZs5q5gdgFkvpLWpR0U6qHJH2/60MzMzOz7qaZGo8h+Zbhe5Lu5rkS8IWuDMrMzMy6p2YSj16SepESj6si4j1mfjibmZmZWVOaSTz+CEwBFgVulbQi8HpXBmVmZmbdU4fPaqk5ktQz30bdFnBtbW3R3u7H5piZdcaC/KyWZm6ZjqRdgLWZ8ch1SE+KNTMzM2taM1e1nA7sB3wLELAvsGIXx2VmZmbdUDNtPDaPiC8Cr0bEUaTntqzetWGZmZlZd9RM4vFWfn9T0rLAe8AyXReSmZmZdVfNtPG4WtLiwG+A+0iX0p7VlUGZmZlZ99TM02l/mTsvlXQ10DsipnZtWGZmZtYdNXtVy+bA4MrwkoiIc7swLjMzM+uGOkw8JP0FWAWYCHyQewfgxMPglfFwgVodhZnNLSN8Y2rrWs3UeLSRntfirdHMzMzmSDNXtTwAfLyrAzEzM7Pur5kaj4HAQ5LuAd6p9IyI3bssKjMzM+uWmkk8RnV1EGZmZrZgaOZy2lskLQ1slHvdExEvdG1YZmZm1h0186yWzwL3kJ7R8lngbknDuzowMzMz636aOdXyY2CjSi2HpEHAjcAlXRmYmZmZdT/NXNXSo+rUystNjmdmZmY2k2ZqPP4m6TpgTP68H/DXrgvJzMzMuqtmGpd+X9LewJa51xkRcXnXhmVmZmbdUd3EQ9JOEXEdQERcBlxWKNs3Ii4uIT4zMzPrRhq11bhW0s2SlqtR9sOuCsjMzMy6r0aJxyTgAuAfNS6f9VPBCiRNn83xtpUUkr5S6Dc09/veXIptpKRTOhhmd0lHzo35mZmZNdIo8YiIOBPYHviBpD9L6lsp6/rQFhgPkO6PUnEAcH9nJiCpmUbCdUXEVRFx7JxMw8zMrBkdXhYbEY8BmwH/BSZI2qTLo+oGJO0m6W5JEyTdmO/+WsuTQG9JS0sS8GkKVw3lGpB/SJok6XJJS+T+4ySdJKkd+HYz85M0SNKlku7Nry1y/49qRToRt5mZWac1Sjw+Op0SEe9HxJHA10iX1a7W1YF1A7cDm0bEBsBY4IgGw15CujPs5sB9FB7GB5wL/CAi1gMmAz8vlC0cEW0R8b9Nzu93wIkRsRGwD3DW7MQt6WBJ7ZLaX5zWYKnMzMyqNKqiP6q6R0SMkzSMlIBYY8sDF0paBlgYeKLBsBcBFwJrkhK7zQEkDQAWj4hb8nDnAMWriS7s5Px2AIakihUA+kvq19m4I+IM4AyAtpXl025mZta0ujUeEXFFnf6vuj1AU34PnBIR65IStd71BoyI54H3gB2Bv3diHm90cn49SLUZQ/NruYiobhjbdNxmZmad5Vufd50BwDO5+8Amhv8Z6ZTKB5UeETEVeFXSVrnXF4Bbao3c5PyuB75V+SBp6FyI28zMrGlzdDWEfaSvpKcLn08ARgEXS3oVuAlYqdEEIuLOOkUHAqfnK4r+DRxUZ7hm5ncocKqkSaTv/lbgkEoInZiOmZnZbFGET9Ev6CR9F+gfET/vcOAqbSsr2o/ugqDMrDVG+JhQBknjI6Kt1XG0gms8FnCSDgFGAnu3OBQzM1sAuI3HAi4iTo+IdSPin62OxczMuj8nHmZmZlYaJx5mZmZWGiceZmZmVhonHmZmZlYaJx5mZmZWGiceZmZmVhonHmZmZlYaJx5mZmZWGiceZmZmVhrfMt3mzJLDYER7q6MwM7P5hGs8zMzMrDROPMzMzKw0TjzMzMysNE48zMzMrDROPMzMzKw0TjzMzMysNE48zMzMrDS+j4fNmVfGwwVqdRRmZuUaEa2OYL7lGg8zMzMrjRMPMzMzK40TDzMzMyuNEw8zMzMrjRMPMzMzK40TDzMzMyuNEw8zMzMrjRMPMzMzK40TDzMzMyuNEw8zMzMrjRMPMzMzK40TDzMzMyuNE4+5RNL0ORh3Y0m3SnpU0gRJZ0nqK2mUpO/NzTjNzMxayU+nbTFJSwMXA/tHxF2533BgsRbE0jMi3i97vmZmtuBwjUcXkrSbpLtzLcaNOcmo9g3gnErSARARl0TEf/PHIZLGSfq3pEML0z5c0gP5dVjuN1jSI5LOl/SwpEsk9c1lwyTdImm8pOskLZP7j5N0kqR24NtNxmxmZjZbnHh0rduBTSNiA2AscESNYdYBxjeYxprATsDGwM8l9ZI0DDgI2ATYFPiqpA3y8GsAf4iItYDXgf+R1Av4PTA8IoYBZwO/Ksxj4Yhoi4j/bSZmSQdLapfU/uK05laEmZkZ+FRLV1seuDDXLiwMPDEb07gmIt4B3pH0ArA0sCVweUS8ASDpMmAr4CrgqYi4I497HnAo8DdSgnODJICFgOcK87iwMzFHxBnAGQBtKytmY5nMzGwB5RqPrvV74JSIWBf4GtC7xjAPAsMaTOOdQvcHdJwsVicCAQh4MCKG5te6EfGpwjBvdDJmMzOz2eLEo2sNAJ7J3QfWGeYU4EBJm1R6SNq7g7YVtwF75itfFgX2yv0APiFps9w9gnTq5FFgUKV/Pl2z9hzEbGZmNluceMw9fSU9XXgdDowCLpY0Hnip1ki5Een+wG/z5bQPk9p01G09ERH3AaOBe4C7gbMiYkIufhT4Rp7OEsBpEfEuMBw4TtL9wERg8zqT7zBmMzOz2aUIn6LvLiQNBq6OiHXKmmfbyor2o8uam5nZPGLEnB07JY2PiLa5FM18xTUeZmZmVhpf1dKNRMQU0tUrZmZm8yTXeJiZmVlpnHiYmZlZaZx4mJmZWWmceJiZmVlpnHiYmZlZaZx4mJmZWWmceJiZmVlpnHiYmZlZaZx4mJmZWWl851KbM0sOgxHtrY7CzMzmE67xMDMzs9I48TAzM7PSOPEwMzOz0jjxMDMzs9I48TAzM7PSOPEwMzOz0jjxMDMzs9I48TAzM7PSOPEwMzOz0igiWh2DzcckTQMebXUcTRgIvNTqIDrgGOee+SFOxzj3zA9xVse4YkQMalUwreRbptucejQi2lodREcktc/rcTrGuWd+iNMxzj3zQ5zzQ4xl8akWMzMzK40TDzMzMyuNEw+bU2e0OoAmzQ9xOsa5Z36I0zHOPfNDnPNDjKVw41IzMzMrjWs8zMzMrDROPMzMzKw0Tjxstkn6tKRHJf1L0pGtjqcWSWdLekHSA62OpR5JK0i6WdJDkh6U9O1Wx1RNUm9J90i6P8d4VKtjqkfSQpImSLq61bHUI2mKpMmSJkpqb3U8tUhaXNIlkh6R9LCkzVodU5GkNfL6q7xel3RYq+OqRdJ38u/mAUljJPVudUyt5DYeNlskLQQ8BuwIPA3cCxwQEQ+1NLAqkrYGpgPnRsQ6rY6nFknLAMtExH2SFgPGA3vOS+tSkoBFI2K6pF7A7cC3I+IfLQ5tFpIOB9qA/hGxa6vjqUXSFKAtIubZm15JOge4LSLOkrQw0DciXmtxWDXl/dEzwCYR8WSr4ymStBzp9zIkIt6SdBFwbUSMbm1kreMaD5tdGwP/ioh/R8S7wFhgjxbHNIuIuBV4pdVxNBIRz0XEfbl7GvAwsFxro5pZJNPzx175Nc/9a5G0PLALcFarY5mfSRoAbA38CSAi3p1Xk45se+DxeS3pKOgJ9JHUE+gLPNvieFrKiYfNruWApwqfn2YeO1jOjyQNBjYA7m5xKLPIpzAmAi8AN0TEPBcjcBJwBPBhi+PoSADXSxov6eBWB1PDSsCLwJ/zaauzJC3a6qAa2B8Y0+ogaomIZ4DfAv8BngOmRsT1rY2qtZx4mM0jJPUDLgUOi4jXWx1PtYj4ICKGAssDG0uap05dSdoVeCEixrc6liZsGREbAp8BvpFPCc5LegIbAqdFxAbAG8C82o5rYWB34OJWx1KLpCVItcErAcsCi0r6fGujai0nHja7ngFWKHxePvez2ZDbTVwKnB8Rl7U6nkZylfvNwKdbHEq1LYDdc/uJscAnJZ3X2pBqy/+CiYgXgMtJpy7nJU8DTxdqtS4hJSLzos8A90XEf1sdSB07AE9ExIsR8R5wGbB5i2NqKSceNrvuBVaTtFL+x7E/cFWLY5ov5YabfwIejogTWh1PLZIGSVo8d/chNSp+pKVBVYmIH0bE8hExmLQ93hQR89w/S0mL5kbE5NMXnwLmqauuIuJ54ClJa+Re2wPzTGPnKgcwj55myf4DbCqpb/6tb09qx7XA8tNpbbZExPuSvglcBywEnB0RD7Y4rFlIGgNsCwyU9DTw84j4U2ujmsUWwBeAybkNBcCPIuLa1oU0i2WAc/LVAz2AiyJinr1cdR63NHB5OgbRE7ggIv7W2pBq+hZwfv5j8W/goBbHM4ucuO0IfK3VsdQTEXdLugS4D3gfmMACfvt0X05rZmZmpfGpFjMzMyuNEw8zMzMrjRMPMzMzK40TDzMzMyuNEw8zMzMrjRMPs25K0scljZX0eL4197WSVm91XJ2V7yFyd75191Z5ORYvYb7jJLXN4TT2lDSkieFGSlq2ieFGSxo+JzGZtZoTD7NuKN+o6HJgXESsEhHDgB+S7iExv9kemBwRG0TEbRGxc/UDy5TMi/uzPYEOEw9gJOl22mbd3rz4QzWzObcd8F5EnF7pERH3R8RtkvpJ+ruk+yRNlrQHfHRHzWsk3S/pAUn75f7b59qGyZLOlrRI7n+spIckTZL02+oA8nz+nMebJGmf3P+A3O8BSccVhp8u6Vd5/v+QtLSkocDxwB6SJkrqI2mKpIGSBkt6VNK5pDt/biXpkVwr8Jik8yXtIOkOSf+UtHGez8aS7srLdGfl7px52mMlPSzpcqBPIbZZYlZ6aN7o3G+ypO9ULf/mpGeI/CbHvoqkoXnZJkm6XNISuQajjXSzrsoy/kzSvXnaZ+REsnr9DpN0S67Nuk7SMrn/oYXvZWwntxuzrhcRfvnlVzd7AYcCJ9Yp6wn0z90DgX8BAvYBziwMNwDoTXoK8eq537nAYcBSwKPMuAnh4jXmcxxwUuHzEqR/9f8BBuU4bgL2zOUB7Ja7jwd+krtHAqcUpjMlxz2Y9BTaTXP/waQ7Q65L+lM1Hjg7L9sewBV5uP5Az9y9A3Bp7j6cdAdegPXytNrqxQwMIz2llwbrYDQwvPB5ErBN7v5FZf0A44C2wnBLFrr/Ulgvo4HhQC/gTmBQ7r9fIfZngUXqxeSXX61+ucbDbMEj4BhJk4AbgeVIp2AmAztKOk7SVhExFViD9ICrx/K45wBbA1OBt4E/SdobeLPGfHYATq18iIhXgY1Ip39ejIj3gfPz9ADeBSq3YR9PSiQ68mRE/KPw+YmImBwRHwIPAn+PiMjLVpneAOBiSQ8AJwJr5/5bA+flWCeRkgQaxPxvYGVJv5f0aaDhE4UlDSAlArfkXpV1Wct2uV3LZOCThRgr1gDWAW5Qus3+T0gPaiTHfb7SE1DfbxSTWSs48TDrnh4k/SOv5XOkf+/DIj3m/r9A75xcbEg6SB8t6Wf1Jp4PwBuTnlq6KzA3njXyXk4SAD6guWdJvVH1+Z1C94eFzx8WpvdL4OaIWAfYjVSr02k5kVqfVFtxCHDW7EynmqTewB9INSXrAmfWiFHAgxExNL/WjYhP5bJdSAnfhsC9kvxMLpunOPEw655uAhaRdHClh6T1JG1F+sf/QkS8J2k7YMVcvizwZkScB/yGdOB6FBgsadU8mS8At0jqBwyI9CC775AOwNVuAL5RmP8SwD3ANrmNxkKkJ4veUmPcrjQAeCZ3jyz0vxUYASBpHdLpFqgTs6SBQI+IuJRU41DrsfHTgMUAcg3Sq/k7gLwuq4djRpLxUl7Pta5ieRQYJGmzHG8vSWsrNbBdISJuBn6Ql7VfB+vDrFTOhM26oYgISXsBJ0n6Aem0yBRS+4zzgf/L1fjtzHi8/bqkhpAfAu8BX4+ItyUdRDo10RO4FzgdWBK4Mv87F6l9RLWjgVPzKY0PgKMi4jJJRwI35/GuiYgr5/4aaOh40pN2fwJcU+h/GvBnSQ+THls+HiAinqsVs6T18/CVP3A/rDGvscCZkg4lJRAHAqdL6svMT3wdnfu/BWxGquV4AHietM5nEhHv5kapJ+dTOD2Bk4DHgPNyPwEnR9UVQGat5qfTmpmZWWl8qsXMzMxK48TDzMzMSuPEw8zMzErjxMPMzMxK48TDzMzMSuPEw8zMzErjxMPMzMxK8/+6tdrM8QziLwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "eje_x = ['La Chopera', 'La Moraleja', 'Marqués de la Valdavia', 'Miraflores', 'Valdelasfuentes']\n",
    "eje_y = [7.715,5.911,4.181,5.940,5.948]\n",
    "plt.barh(eje_x, eje_y, color=\"orange\")\n",
    "plt.ylabel('Zonas sanitarias')\n",
    "plt.xlabel('Casos confirmados totales')\n",
    "plt.title('Casos de Covid-19 en personas de 60 o más años de edad en Alcobendas')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A pesar de que los contagios no han desaparecido, son insuficientes para frenar la pendiente negativa de la curva, que dos años después de aquel alarmante marzo alcanza puntos por debajo de cero en Alcobendas para este segmento de la población.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos confirmados totales'}, xlabel='Zona básica de salud'>"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.set_index('Zona básica de salud')['Casos confirmados totales'].plot(title=\"Casos confirmados totales\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">Disminuyen los contagios en los últimos 14 días pero aún no llegan a desaparecer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid-19 confirmados en los últimos 14 días'}, xlabel='Zona básica de salud'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.set_index('Zona básica de salud')['Casos confirmados en los ultimos 14 días'].plot(title=\"Casos de Covid-19 confirmados en los últimos 14 días\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
       "&lt;head&gt;    \n",
       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
       "    \n",
       "        &lt;script&gt;\n",
       "            L_NO_TOUCH = false;\n",
       "            L_DISABLE_3D = false;\n",
       "        &lt;/script&gt;\n",
       "    \n",
       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
       "    \n",
       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
       "            &lt;style&gt;\n",
       "                #map_d07e1f42c32bada37bc0c46554e114fa {\n",
       "                    position: relative;\n",
       "                    width: 100.0%;\n",
       "                    height: 100.0%;\n",
       "                    left: 0.0%;\n",
       "                    top: 0.0%;\n",
       "                }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_d07e1f42c32bada37bc0c46554e114fa&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "&lt;/body&gt;\n",
       "&lt;script&gt;    \n",
       "    \n",
       "            var map_d07e1f42c32bada37bc0c46554e114fa = L.map(\n",
       "                &quot;map_d07e1f42c32bada37bc0c46554e114fa&quot;,\n",
       "                {\n",
       "                    center: [40.5475, -3.64209],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 13,\n",
       "                    zoomControl: true,\n",
       "                    preferCanvas: false,\n",
       "                }\n",
       "            );\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_df8c6806f6985dbbc9933b58e7492b9a = L.tileLayer(\n",
       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            ).addTo(map_d07e1f42c32bada37bc0c46554e114fa);\n",
       "        \n",
       "    \n",
       "            var marker_ed27381e621ebecdd6c9b1ada6883de1 = L.marker(\n",
       "                [40.5358796, -3.7016036],\n",
       "                {}\n",
       "            ).addTo(map_d07e1f42c32bada37bc0c46554e114fa);\n",
       "        \n",
       "    \n",
       "            var icon_6db2755a10a6263deb00f652bdf8a089 = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;purple&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_ed27381e621ebecdd6c9b1ada6883de1.setIcon(icon_6db2755a10a6263deb00f652bdf8a089);\n",
       "        \n",
       "    \n",
       "        var popup_971b0c609c94d31ca1efc1356319c4b2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_b2cd0e4bf925a6657c63352031f3ec9d = $(`&lt;div id=&quot;html_b2cd0e4bf925a6657c63352031f3ec9d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Chopera&lt;/div&gt;`)[0];\n",
       "            popup_971b0c609c94d31ca1efc1356319c4b2.setContent(html_b2cd0e4bf925a6657c63352031f3ec9d);\n",
       "        \n",
       "\n",
       "        marker_ed27381e621ebecdd6c9b1ada6883de1.bindPopup(popup_971b0c609c94d31ca1efc1356319c4b2)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_ed27381e621ebecdd6c9b1ada6883de1.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     La Chopera, 7.715\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_ac5f00b3aba7e307970748f9ab27f2cd = L.marker(\n",
       "                [40.531936, -3.635167],\n",
       "                {}\n",
       "            ).addTo(map_d07e1f42c32bada37bc0c46554e114fa);\n",
       "        \n",
       "    \n",
       "            var icon_9fcf5ebeb0683a7e285be201ea4b0836 = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;purple&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_ac5f00b3aba7e307970748f9ab27f2cd.setIcon(icon_9fcf5ebeb0683a7e285be201ea4b0836);\n",
       "        \n",
       "    \n",
       "        var popup_603dc1b49eca817dcc0b8744411f4b4a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_b4a8bc89e6bef7dbada8e508d03f7faf = $(`&lt;div id=&quot;html_b4a8bc89e6bef7dbada8e508d03f7faf&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Moraleja&lt;/div&gt;`)[0];\n",
       "            popup_603dc1b49eca817dcc0b8744411f4b4a.setContent(html_b4a8bc89e6bef7dbada8e508d03f7faf);\n",
       "        \n",
       "\n",
       "        marker_ac5f00b3aba7e307970748f9ab27f2cd.bindPopup(popup_603dc1b49eca817dcc0b8744411f4b4a)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_ac5f00b3aba7e307970748f9ab27f2cd.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     La Moraleja, 5.911\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_28773a44b89d3bc590862e14dc1ee3a9 = L.marker(\n",
       "                [40.541, -3.6374],\n",
       "                {}\n",
       "            ).addTo(map_d07e1f42c32bada37bc0c46554e114fa);\n",
       "        \n",
       "    \n",
       "            var icon_b0ef0aaaca86a1dd04d99ce6ec95dd1b = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;purple&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_28773a44b89d3bc590862e14dc1ee3a9.setIcon(icon_b0ef0aaaca86a1dd04d99ce6ec95dd1b);\n",
       "        \n",
       "    \n",
       "        var popup_3487b1ada19f140e88c1b4f6a141a05b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_6862d859999c0638ca35967d99b76b7b = $(`&lt;div id=&quot;html_6862d859999c0638ca35967d99b76b7b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Marqués de la Valdavia&lt;/div&gt;`)[0];\n",
       "            popup_3487b1ada19f140e88c1b4f6a141a05b.setContent(html_6862d859999c0638ca35967d99b76b7b);\n",
       "        \n",
       "\n",
       "        marker_28773a44b89d3bc590862e14dc1ee3a9.bindPopup(popup_3487b1ada19f140e88c1b4f6a141a05b)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_28773a44b89d3bc590862e14dc1ee3a9.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Marqués de la Valdavia, 4.181\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_b056461535e8ba5b734272e99b0a9474 = L.marker(\n",
       "                [40.5358796, -3.7016036],\n",
       "                {}\n",
       "            ).addTo(map_d07e1f42c32bada37bc0c46554e114fa);\n",
       "        \n",
       "    \n",
       "            var icon_0ce05640dc4f7fa48a6a1006b68ce9d5 = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;purple&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_b056461535e8ba5b734272e99b0a9474.setIcon(icon_0ce05640dc4f7fa48a6a1006b68ce9d5);\n",
       "        \n",
       "    \n",
       "        var popup_515c8d1def8535504a539e5037b3446e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_193952357fc2f73ebd43a1500c5d593a = $(`&lt;div id=&quot;html_193952357fc2f73ebd43a1500c5d593a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Miraflores&lt;/div&gt;`)[0];\n",
       "            popup_515c8d1def8535504a539e5037b3446e.setContent(html_193952357fc2f73ebd43a1500c5d593a);\n",
       "        \n",
       "\n",
       "        marker_b056461535e8ba5b734272e99b0a9474.bindPopup(popup_515c8d1def8535504a539e5037b3446e)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_b056461535e8ba5b734272e99b0a9474.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Miraflores, 5.940\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_9c5d7418c0798dfbaa4a90ac6cafa37e = L.marker(\n",
       "                [40.547425, -3.654149],\n",
       "                {}\n",
       "            ).addTo(map_d07e1f42c32bada37bc0c46554e114fa);\n",
       "        \n",
       "    \n",
       "            var icon_969665896828804dc2dce9345e05e88e = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;purple&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_9c5d7418c0798dfbaa4a90ac6cafa37e.setIcon(icon_969665896828804dc2dce9345e05e88e);\n",
       "        \n",
       "    \n",
       "        var popup_df664d166bfe5e3b2e050020a52f9619 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_d87c8c5344e769067841ae3777aefe44 = $(`&lt;div id=&quot;html_d87c8c5344e769067841ae3777aefe44&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Valdelasfuentes&lt;/div&gt;`)[0];\n",
       "            popup_df664d166bfe5e3b2e050020a52f9619.setContent(html_d87c8c5344e769067841ae3777aefe44);\n",
       "        \n",
       "\n",
       "        marker_9c5d7418c0798dfbaa4a90ac6cafa37e.bindPopup(popup_df664d166bfe5e3b2e050020a52f9619)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_9c5d7418c0798dfbaa4a90ac6cafa37e.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Valdelasfuentes, 5.948\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f514d7f16a0>"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El Ayuntamiento de Alcobendas continúa actualizando semanalmente los datos de la incidencia de casos Covid-19 en la población de 60 años en adelante de acuerdo a la implantación de la nueva **Estrategia de vigilancia y control frente a Covid-19** tras la fase aguda de la pandemia de la Comunidad de Madrid."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Guardamos los archivos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vamos a guardar los datos (csv) y un gráfico (png con la librería matplolib.pyplot). La función para lo primero es `.to_csv`. La función para lo segundo es `plt.savefing`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(\"practica-4\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "df.set_index('Zona básica de salud')['Casos confirmados totales'].plot(title=\"Casos confirmados totales\")\n",
    "plt.savefig('practica-4')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lo comprobamos:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " api-pandas-folium.ipynb  'Probando con R.ipynb'\r\n",
      "'Borrador p.4.ipynb'\t   python-api-covid19-pandas.ipynb\r\n",
      " esvsit.csv\t\t   python-csv-covid19-pandas.ipynb\r\n",
      " esvsitvsmx.png\t\t   Python-prueba.ipynb\r\n",
      " practica-4\t\t   seaborn-data\r\n",
      " practica-4-grafico.png    Shared_Resources\r\n",
      " practica-4.png\r\n"
     ]
    }
   ],
   "source": [
    "!ls"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}