ad4.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "fa01f402",
   "metadata": {},
   "source": [
    "# AD4: conexión con la API del COVID19 y análisis con Pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3e6536d",
   "metadata": {},
   "source": [
    "Me conecto a la API https://api.covid19api.com/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9ccc35f4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pandas in c:\\users\\lenovo e570\\anaconda3\\lib\\site-packages (1.4.2)\n",
      "Requirement already satisfied: python-dateutil>=2.8.1 in c:\\users\\lenovo e570\\anaconda3\\lib\\site-packages (from pandas) (2.8.2)\n",
      "Requirement already satisfied: numpy>=1.18.5 in c:\\users\\lenovo e570\\anaconda3\\lib\\site-packages (from pandas) (1.21.5)\n",
      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\lenovo e570\\anaconda3\\lib\\site-packages (from pandas) (2021.3)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\lenovo e570\\anaconda3\\lib\\site-packages (from python-dateutil>=2.8.1->pandas) (1.16.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61640591",
   "metadata": {},
   "source": [
    "# Importar Pandas\n",
    "Luego de instaladas las librerías de Pandas, colocamos ```import``` para tener el acceso y luego importarlo como un **pd**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "bc2d5f42",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07120143",
   "metadata": {},
   "source": [
    "## Conexión a una URL"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1438f9f7",
   "metadata": {},
   "source": [
    "Se utilizó *url* para hacer el vículo con la dirección del sitio web de donde se obtendrían los datos. Comprobamos que con introducir *url* la variable está relacionada automáticamente con esta dirección de la **API**. A través del siguiente código se le hace una petición de información a la **API** y el resultado se guarda en una variable. En esta caso particular, lo observamos en un modelo de cuadro.\n",
    "\n",
    "Este paso se muestra a continuación:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fa31883f",
   "metadata": {},
   "outputs": [],
   "source": [
    "url = \"https://api.covid19api.com/countries\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "49c30952",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://api.covid19api.com/countries'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ffa7f30",
   "metadata": {},
   "source": [
    "## Data Frame\n",
    "\n",
    "Como el **API** tiene la información en un lista de datos **JSON**, creamos un *Data Frame df*, el cual se trata de una estructuras de lista de datos de *Python*, compuesto por la función de Pandas que permite leer el formato JSON."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "76110ccc",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_json(url)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "739adc4e",
   "metadata": {},
   "source": [
    "Nos aparecen los datos **JSON** en forma de tabla, luego de comprobarlo al invocarlo con ```df```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7c7e47da",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Slug</th>\n",
       "      <th>ISO2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Gibraltar</td>\n",
       "      <td>gibraltar</td>\n",
       "      <td>GI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Oman</td>\n",
       "      <td>oman</td>\n",
       "      <td>OM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>France</td>\n",
       "      <td>france</td>\n",
       "      <td>FR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jersey</td>\n",
       "      <td>jersey</td>\n",
       "      <td>JE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mali</td>\n",
       "      <td>mali</td>\n",
       "      <td>ML</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>Puerto Rico</td>\n",
       "      <td>puerto-rico</td>\n",
       "      <td>PR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>Papua New Guinea</td>\n",
       "      <td>papua-new-guinea</td>\n",
       "      <td>PG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>Saint Pierre and Miquelon</td>\n",
       "      <td>saint-pierre-and-miquelon</td>\n",
       "      <td>PM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>Timor-Leste</td>\n",
       "      <td>timor-leste</td>\n",
       "      <td>TL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>Montenegro</td>\n",
       "      <td>montenegro</td>\n",
       "      <td>ME</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>248 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Country                       Slug ISO2\n",
       "0                    Gibraltar                  gibraltar   GI\n",
       "1                         Oman                       oman   OM\n",
       "2                       France                     france   FR\n",
       "3                       Jersey                     jersey   JE\n",
       "4                         Mali                       mali   ML\n",
       "..                         ...                        ...  ...\n",
       "243                Puerto Rico                puerto-rico   PR\n",
       "244           Papua New Guinea           papua-new-guinea   PG\n",
       "245  Saint Pierre and Miquelon  saint-pierre-and-miquelon   PM\n",
       "246                Timor-Leste                timor-leste   TL\n",
       "247                 Montenegro                 montenegro   ME\n",
       "\n",
       "[248 rows x 3 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f55ce533",
   "metadata": {},
   "source": [
    "## Datos"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1c44c38",
   "metadata": {},
   "source": [
    "Se puede hacer un filtro de la fila requerida a través del siguiente código:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e13a9558",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Slug</th>\n",
       "      <th>ISO2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Spain</td>\n",
       "      <td>spain</td>\n",
       "      <td>ES</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Country   Slug ISO2\n",
       "141   Spain  spain   ES"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"Country\"] == \"Spain\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f40ad93b",
   "metadata": {},
   "source": [
    "Como se observa, se utilizó ese código para obtener los datos relacionados con España."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c91e7f29",
   "metadata": {},
   "source": [
    "# Datos de Covid19 en tiempo real\n",
    "## Información de España\n",
    "\n",
    "La primera prueba fue la extracción de los datos de covid19 en tiempo real para España. Con la librería **Pandas**, se llama a la funcion ```read_json()```, que devuelve los datos de la consulta."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c5a64f33",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>Province</th>\n",
       "      <th>City</th>\n",
       "      <th>CityCode</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Status</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-22 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-23 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-24 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-25 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-26 00:00:00+00:00</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>894</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>12818184</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-04 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>895</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>12890002</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-05 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>12890002</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-06 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>12890002</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-07 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>12973615</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-08 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>899 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Country CountryCode Province City CityCode    Lat   Lon     Cases  \\\n",
       "0     Spain          ES                         40.46 -3.75         0   \n",
       "1     Spain          ES                         40.46 -3.75         0   \n",
       "2     Spain          ES                         40.46 -3.75         0   \n",
       "3     Spain          ES                         40.46 -3.75         0   \n",
       "4     Spain          ES                         40.46 -3.75         0   \n",
       "..      ...         ...      ...  ...      ...    ...   ...       ...   \n",
       "894   Spain          ES                         40.46 -3.75  12818184   \n",
       "895   Spain          ES                         40.46 -3.75  12890002   \n",
       "896   Spain          ES                         40.46 -3.75  12890002   \n",
       "897   Spain          ES                         40.46 -3.75  12890002   \n",
       "898   Spain          ES                         40.46 -3.75  12973615   \n",
       "\n",
       "        Status                      Date  \n",
       "0    confirmed 2020-01-22 00:00:00+00:00  \n",
       "1    confirmed 2020-01-23 00:00:00+00:00  \n",
       "2    confirmed 2020-01-24 00:00:00+00:00  \n",
       "3    confirmed 2020-01-25 00:00:00+00:00  \n",
       "4    confirmed 2020-01-26 00:00:00+00:00  \n",
       "..         ...                       ...  \n",
       "894  confirmed 2022-07-04 00:00:00+00:00  \n",
       "895  confirmed 2022-07-05 00:00:00+00:00  \n",
       "896  confirmed 2022-07-06 00:00:00+00:00  \n",
       "897  confirmed 2022-07-07 00:00:00+00:00  \n",
       "898  confirmed 2022-07-08 00:00:00+00:00  \n",
       "\n",
       "[899 rows x 10 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_rt_es = \"https://api.covid19api.com/country/spain/status/confirmed/live\"\n",
    "df_rt_es = pd.read_json(url_rt_es)\n",
    "df_rt_es"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a83ed14",
   "metadata": {},
   "source": [
    "Con el cógido ``df_rt_es.head()`` se obtuvieron los datos de las cinco primeras líneas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cfcb9b30",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>Province</th>\n",
       "      <th>City</th>\n",
       "      <th>CityCode</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-22 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-23 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-24 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-25 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-26 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Country CountryCode Province City CityCode    Lat   Lon  Cases     Status  \\\n",
       "0   Spain          ES                         40.46 -3.75      0  confirmed   \n",
       "1   Spain          ES                         40.46 -3.75      0  confirmed   \n",
       "2   Spain          ES                         40.46 -3.75      0  confirmed   \n",
       "3   Spain          ES                         40.46 -3.75      0  confirmed   \n",
       "4   Spain          ES                         40.46 -3.75      0  confirmed   \n",
       "\n",
       "                       Date  \n",
       "0 2020-01-22 00:00:00+00:00  \n",
       "1 2020-01-23 00:00:00+00:00  \n",
       "2 2020-01-24 00:00:00+00:00  \n",
       "3 2020-01-25 00:00:00+00:00  \n",
       "4 2020-01-26 00:00:00+00:00  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rt_es.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ee50085",
   "metadata": {},
   "source": [
    "Mientras que con el código ```df_rt_es.tail()``` se obtienen las últimas líneas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ef6b0da5",
   "metadata": {
    "scrolled": true
   },
   "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>Country</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>Province</th>\n",
       "      <th>City</th>\n",
       "      <th>CityCode</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Status</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>894</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>12818184</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-04 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>895</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>12890002</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-05 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>12890002</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-06 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>12890002</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-07 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.46</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>12973615</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-08 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Country CountryCode Province City CityCode    Lat   Lon     Cases  \\\n",
       "894   Spain          ES                         40.46 -3.75  12818184   \n",
       "895   Spain          ES                         40.46 -3.75  12890002   \n",
       "896   Spain          ES                         40.46 -3.75  12890002   \n",
       "897   Spain          ES                         40.46 -3.75  12890002   \n",
       "898   Spain          ES                         40.46 -3.75  12973615   \n",
       "\n",
       "        Status                      Date  \n",
       "894  confirmed 2022-07-04 00:00:00+00:00  \n",
       "895  confirmed 2022-07-05 00:00:00+00:00  \n",
       "896  confirmed 2022-07-06 00:00:00+00:00  \n",
       "897  confirmed 2022-07-07 00:00:00+00:00  \n",
       "898  confirmed 2022-07-08 00:00:00+00:00  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rt_es.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c9f7ba9",
   "metadata": {},
   "source": [
    "# Graficar\n",
    "\n",
    "Ya tenemos un cuadro con las siguientes columnas: país, código de país, provincia, ciudad, código de ciudad, latitud, longitud, número de casos, estado y la fecha. Particularmente de esta información nos interesa el número de casos y la fecha. El procedimiento que debo ejecutar es transformar la columna de control. Para ello convierto la columna de fecha en columna de control pidiéndole ya que me muestre los casos España desde el 20 de enero de 2020 a la actualidad con la expresión ```df_rt_es.set_index('Date')['Cases'].plot(title=\"Casos de Covid-19 en España desde 20/01/2020 hasta 29/06/2022\")```. Debo darle un nombre de variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "f45da478",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid-19 en España'}, xlabel='Date'>"
      ]
     },
     "execution_count": 60,
     "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": [
    "casos_es = df_rt_es.set_index('Date')['Cases']\n",
    "casos_es.plot(title=\"Casos de Covid-19 en España\",kind = \"area\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6161094f",
   "metadata": {},
   "source": [
    "# Datos de Panamá"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "671cf66e",
   "metadata": {},
   "source": [
    "Para los datos de Panamá debemos repetir el proceso. Solo utilizo las letras de la nomenclatura para el país y coloco el nombre del país en la url que utilizo. Si agregamos ```,kind=\"area\"``` al final se pondría el gráfico de área y con ```,kind=\"bar\"``` el gráfico de barras."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "86d066f9",
   "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>Country</th>\n",
       "      <th>Slug</th>\n",
       "      <th>ISO2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Panama</td>\n",
       "      <td>panama</td>\n",
       "      <td>PA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Country    Slug ISO2\n",
       "190  Panama  panama   PA"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"Country\"] == \"Panama\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "12073982",
   "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>Country</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>Province</th>\n",
       "      <th>City</th>\n",
       "      <th>CityCode</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Status</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-22 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-23 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-24 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-25 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-26 00:00:00+00:00</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>895</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>925254</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-05 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>925254</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-06 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>925254</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-07 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>932710</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-08 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>925254</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-09 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Country CountryCode Province City CityCode   Lat    Lon   Cases  \\\n",
       "0    Panama          PA                         8.54 -80.78       0   \n",
       "1    Panama          PA                         8.54 -80.78       0   \n",
       "2    Panama          PA                         8.54 -80.78       0   \n",
       "3    Panama          PA                         8.54 -80.78       0   \n",
       "4    Panama          PA                         8.54 -80.78       0   \n",
       "..      ...         ...      ...  ...      ...   ...    ...     ...   \n",
       "895  Panama          PA                         8.54 -80.78  925254   \n",
       "896  Panama          PA                         8.54 -80.78  925254   \n",
       "897  Panama          PA                         8.54 -80.78  925254   \n",
       "898  Panama          PA                         8.54 -80.78  932710   \n",
       "899  Panama          PA                         8.54 -80.78  925254   \n",
       "\n",
       "        Status                      Date  \n",
       "0    confirmed 2020-01-22 00:00:00+00:00  \n",
       "1    confirmed 2020-01-23 00:00:00+00:00  \n",
       "2    confirmed 2020-01-24 00:00:00+00:00  \n",
       "3    confirmed 2020-01-25 00:00:00+00:00  \n",
       "4    confirmed 2020-01-26 00:00:00+00:00  \n",
       "..         ...                       ...  \n",
       "895  confirmed 2022-07-05 00:00:00+00:00  \n",
       "896  confirmed 2022-07-06 00:00:00+00:00  \n",
       "897  confirmed 2022-07-07 00:00:00+00:00  \n",
       "898  confirmed 2022-07-08 00:00:00+00:00  \n",
       "899  confirmed 2022-07-09 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_rt_pa = \"https://api.covid19api.com/country/panama/status/confirmed/live\"\n",
    "df_rt_pa = pd.read_json(url_rt_pa)\n",
    "df_rt_pa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "c9293c87",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid-19 en Panamá'}, xlabel='Date'>"
      ]
     },
     "execution_count": 61,
     "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": [
    "casos_pa = df_rt_pa.set_index('Date')['Cases']\n",
    "casos_pa.plot(title=\"Casos de Covid-19 en Panamá\",kind = \"area\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3690630b",
   "metadata": {},
   "source": [
    "# Datos de Costa Rica"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2bbe98a6",
   "metadata": {},
   "source": [
    "Repetimos este procedimiento para todos los países, en este caso, de Centroamérica. Hay que hacer la salvedad que en cada código se deben cambiar la identificación de los datos que se quieren obtener."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b03fb90b",
   "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>Country</th>\n",
       "      <th>Slug</th>\n",
       "      <th>ISO2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>costa-rica</td>\n",
       "      <td>CR</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Country        Slug ISO2\n",
       "242  Costa Rica  costa-rica   CR"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"Country\"] == \"Costa Rica\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "5d381d3f",
   "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>Country</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>Province</th>\n",
       "      <th>City</th>\n",
       "      <th>CityCode</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Status</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-22 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-23 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-24 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-25 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-26 00:00:00+00:00</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>895</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>904934</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-05 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>904934</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-06 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>904934</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-07 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>904934</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-08 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>904934</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-09 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Country CountryCode Province City CityCode   Lat    Lon   Cases  \\\n",
       "0    Costa Rica          CR                         9.75 -83.75       0   \n",
       "1    Costa Rica          CR                         9.75 -83.75       0   \n",
       "2    Costa Rica          CR                         9.75 -83.75       0   \n",
       "3    Costa Rica          CR                         9.75 -83.75       0   \n",
       "4    Costa Rica          CR                         9.75 -83.75       0   \n",
       "..          ...         ...      ...  ...      ...   ...    ...     ...   \n",
       "895  Costa Rica          CR                         9.75 -83.75  904934   \n",
       "896  Costa Rica          CR                         9.75 -83.75  904934   \n",
       "897  Costa Rica          CR                         9.75 -83.75  904934   \n",
       "898  Costa Rica          CR                         9.75 -83.75  904934   \n",
       "899  Costa Rica          CR                         9.75 -83.75  904934   \n",
       "\n",
       "        Status                      Date  \n",
       "0    confirmed 2020-01-22 00:00:00+00:00  \n",
       "1    confirmed 2020-01-23 00:00:00+00:00  \n",
       "2    confirmed 2020-01-24 00:00:00+00:00  \n",
       "3    confirmed 2020-01-25 00:00:00+00:00  \n",
       "4    confirmed 2020-01-26 00:00:00+00:00  \n",
       "..         ...                       ...  \n",
       "895  confirmed 2022-07-05 00:00:00+00:00  \n",
       "896  confirmed 2022-07-06 00:00:00+00:00  \n",
       "897  confirmed 2022-07-07 00:00:00+00:00  \n",
       "898  confirmed 2022-07-08 00:00:00+00:00  \n",
       "899  confirmed 2022-07-09 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_rt_cr = \"https://api.covid19api.com/country/costa-rica/status/confirmed/live\"\n",
    "df_rt_cr = pd.read_json(url_rt_cr)\n",
    "df_rt_cr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "bbfbb043",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid-19 en Costa Rica'}, xlabel='Date'>"
      ]
     },
     "execution_count": 62,
     "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": [
    "casos_cr = df_rt_cr.set_index('Date')['Cases']\n",
    "casos_cr.plot(title=\"Casos de Covid-19 en Costa Rica\",kind = \"area\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6160e6dd",
   "metadata": {},
   "source": [
    "# Datos de Nicaragua"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "729ea27b",
   "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>Country</th>\n",
       "      <th>Slug</th>\n",
       "      <th>ISO2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>nicaragua</td>\n",
       "      <td>NI</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Country       Slug ISO2\n",
       "36  Nicaragua  nicaragua   NI"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"Country\"] == \"Nicaragua\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "d3cfee53",
   "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>Country</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>Province</th>\n",
       "      <th>City</th>\n",
       "      <th>CityCode</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Status</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-22 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-23 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-24 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-25 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-26 00:00:00+00:00</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>895</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>14690</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-05 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>14721</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-06 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>14721</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-07 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>14721</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-08 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>14721</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-09 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Country CountryCode Province City CityCode    Lat    Lon  Cases  \\\n",
       "0    Nicaragua          NI                         12.87 -85.21      0   \n",
       "1    Nicaragua          NI                         12.87 -85.21      0   \n",
       "2    Nicaragua          NI                         12.87 -85.21      0   \n",
       "3    Nicaragua          NI                         12.87 -85.21      0   \n",
       "4    Nicaragua          NI                         12.87 -85.21      0   \n",
       "..         ...         ...      ...  ...      ...    ...    ...    ...   \n",
       "895  Nicaragua          NI                         12.87 -85.21  14690   \n",
       "896  Nicaragua          NI                         12.87 -85.21  14721   \n",
       "897  Nicaragua          NI                         12.87 -85.21  14721   \n",
       "898  Nicaragua          NI                         12.87 -85.21  14721   \n",
       "899  Nicaragua          NI                         12.87 -85.21  14721   \n",
       "\n",
       "        Status                      Date  \n",
       "0    confirmed 2020-01-22 00:00:00+00:00  \n",
       "1    confirmed 2020-01-23 00:00:00+00:00  \n",
       "2    confirmed 2020-01-24 00:00:00+00:00  \n",
       "3    confirmed 2020-01-25 00:00:00+00:00  \n",
       "4    confirmed 2020-01-26 00:00:00+00:00  \n",
       "..         ...                       ...  \n",
       "895  confirmed 2022-07-05 00:00:00+00:00  \n",
       "896  confirmed 2022-07-06 00:00:00+00:00  \n",
       "897  confirmed 2022-07-07 00:00:00+00:00  \n",
       "898  confirmed 2022-07-08 00:00:00+00:00  \n",
       "899  confirmed 2022-07-09 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_rt_ni = \"https://api.covid19api.com/country/nicaragua/status/confirmed/live\"\n",
    "df_rt_ni = pd.read_json(url_rt_ni)\n",
    "df_rt_ni"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "0f7d3217",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid-19 en Nicaragua'}, xlabel='Date'>"
      ]
     },
     "execution_count": 63,
     "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": [
    "casos_ni = df_rt_ni.set_index('Date')['Cases']\n",
    "casos_ni.plot(title=\"Casos de Covid-19 en Nicaragua\",kind = \"area\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df37c3fb",
   "metadata": {},
   "source": [
    "# Datos de El Salvador"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "f0906629",
   "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>Country</th>\n",
       "      <th>Slug</th>\n",
       "      <th>ISO2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>el-salvador</td>\n",
       "      <td>SV</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country         Slug ISO2\n",
       "139  El Salvador  el-salvador   SV"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"Country\"] == \"El Salvador\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "1734ed13",
   "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>Country</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>Province</th>\n",
       "      <th>City</th>\n",
       "      <th>CityCode</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Status</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-22 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-23 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-24 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-25 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-26 00:00:00+00:00</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>895</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>169646</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-05 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>169646</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-06 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>169646</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-07 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>180970</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-08 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>169646</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-09 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country CountryCode Province City CityCode    Lat   Lon   Cases  \\\n",
       "0    El Salvador          SV                         13.79 -88.9       0   \n",
       "1    El Salvador          SV                         13.79 -88.9       0   \n",
       "2    El Salvador          SV                         13.79 -88.9       0   \n",
       "3    El Salvador          SV                         13.79 -88.9       0   \n",
       "4    El Salvador          SV                         13.79 -88.9       0   \n",
       "..           ...         ...      ...  ...      ...    ...   ...     ...   \n",
       "895  El Salvador          SV                         13.79 -88.9  169646   \n",
       "896  El Salvador          SV                         13.79 -88.9  169646   \n",
       "897  El Salvador          SV                         13.79 -88.9  169646   \n",
       "898  El Salvador          SV                         13.79 -88.9  180970   \n",
       "899  El Salvador          SV                         13.79 -88.9  169646   \n",
       "\n",
       "        Status                      Date  \n",
       "0    confirmed 2020-01-22 00:00:00+00:00  \n",
       "1    confirmed 2020-01-23 00:00:00+00:00  \n",
       "2    confirmed 2020-01-24 00:00:00+00:00  \n",
       "3    confirmed 2020-01-25 00:00:00+00:00  \n",
       "4    confirmed 2020-01-26 00:00:00+00:00  \n",
       "..         ...                       ...  \n",
       "895  confirmed 2022-07-05 00:00:00+00:00  \n",
       "896  confirmed 2022-07-06 00:00:00+00:00  \n",
       "897  confirmed 2022-07-07 00:00:00+00:00  \n",
       "898  confirmed 2022-07-08 00:00:00+00:00  \n",
       "899  confirmed 2022-07-09 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_rt_sv = \"https://api.covid19api.com/country/el-salvador/status/confirmed/live\"\n",
    "df_rt_sv = pd.read_json(url_rt_sv)\n",
    "df_rt_sv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "dd9d76d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid-19 en El Salvador'}, xlabel='Date'>"
      ]
     },
     "execution_count": 64,
     "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": [
    "casos_sv = df_rt_sv.set_index('Date')['Cases']\n",
    "casos_sv.plot(title=\"Casos de Covid-19 en El Salvador\",kind = \"area\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f314ee3f",
   "metadata": {},
   "source": [
    "# Datos de Honduras"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "72c1227d",
   "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>Country</th>\n",
       "      <th>Slug</th>\n",
       "      <th>ISO2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>honduras</td>\n",
       "      <td>HN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Country      Slug ISO2\n",
       "91  Honduras  honduras   HN"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"Country\"] == \"Honduras\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "3bfe438c",
   "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>Country</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>Province</th>\n",
       "      <th>City</th>\n",
       "      <th>CityCode</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Status</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-22 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-23 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-24 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-25 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-26 00:00:00+00:00</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>895</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>427718</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-05 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>427718</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-06 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>427718</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-07 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>429408</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-08 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>429408</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-09 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Country CountryCode Province City CityCode   Lat    Lon   Cases  \\\n",
       "0    Honduras          HN                         15.2 -86.24       0   \n",
       "1    Honduras          HN                         15.2 -86.24       0   \n",
       "2    Honduras          HN                         15.2 -86.24       0   \n",
       "3    Honduras          HN                         15.2 -86.24       0   \n",
       "4    Honduras          HN                         15.2 -86.24       0   \n",
       "..        ...         ...      ...  ...      ...   ...    ...     ...   \n",
       "895  Honduras          HN                         15.2 -86.24  427718   \n",
       "896  Honduras          HN                         15.2 -86.24  427718   \n",
       "897  Honduras          HN                         15.2 -86.24  427718   \n",
       "898  Honduras          HN                         15.2 -86.24  429408   \n",
       "899  Honduras          HN                         15.2 -86.24  429408   \n",
       "\n",
       "        Status                      Date  \n",
       "0    confirmed 2020-01-22 00:00:00+00:00  \n",
       "1    confirmed 2020-01-23 00:00:00+00:00  \n",
       "2    confirmed 2020-01-24 00:00:00+00:00  \n",
       "3    confirmed 2020-01-25 00:00:00+00:00  \n",
       "4    confirmed 2020-01-26 00:00:00+00:00  \n",
       "..         ...                       ...  \n",
       "895  confirmed 2022-07-05 00:00:00+00:00  \n",
       "896  confirmed 2022-07-06 00:00:00+00:00  \n",
       "897  confirmed 2022-07-07 00:00:00+00:00  \n",
       "898  confirmed 2022-07-08 00:00:00+00:00  \n",
       "899  confirmed 2022-07-09 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_rt_hn = \"https://api.covid19api.com/country/honduras/status/confirmed/live\"\n",
    "df_rt_hn = pd.read_json(url_rt_hn)\n",
    "df_rt_hn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "55a4eb98",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid-19 en Honduras'}, xlabel='Date'>"
      ]
     },
     "execution_count": 65,
     "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": [
    "casos_hn = df_rt_hn.set_index('Date')['Cases']\n",
    "casos_hn.plot(title=\"Casos de Covid-19 en Honduras\",kind = \"area\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f41e5912",
   "metadata": {},
   "source": [
    "# Datos de Guatemala"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "ca4b039b",
   "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>Country</th>\n",
       "      <th>Slug</th>\n",
       "      <th>ISO2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>guatemala</td>\n",
       "      <td>GT</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Country       Slug ISO2\n",
       "239  Guatemala  guatemala   GT"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"Country\"] == \"Guatemala\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "5b43bea8",
   "metadata": {
    "scrolled": true
   },
   "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>Country</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>Province</th>\n",
       "      <th>City</th>\n",
       "      <th>CityCode</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Status</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>GT</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.78</td>\n",
       "      <td>-90.23</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-22 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>GT</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.78</td>\n",
       "      <td>-90.23</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-23 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>GT</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.78</td>\n",
       "      <td>-90.23</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-24 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>GT</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.78</td>\n",
       "      <td>-90.23</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-25 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>GT</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.78</td>\n",
       "      <td>-90.23</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-26 00:00:00+00:00</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>895</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>GT</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.78</td>\n",
       "      <td>-90.23</td>\n",
       "      <td>922340</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-05 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>GT</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.78</td>\n",
       "      <td>-90.23</td>\n",
       "      <td>927473</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-06 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>GT</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.78</td>\n",
       "      <td>-90.23</td>\n",
       "      <td>933259</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-07 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>GT</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.78</td>\n",
       "      <td>-90.23</td>\n",
       "      <td>939300</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-08 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>GT</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.78</td>\n",
       "      <td>-90.23</td>\n",
       "      <td>939300</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-09 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Country CountryCode Province City CityCode    Lat    Lon   Cases  \\\n",
       "0    Guatemala          GT                         15.78 -90.23       0   \n",
       "1    Guatemala          GT                         15.78 -90.23       0   \n",
       "2    Guatemala          GT                         15.78 -90.23       0   \n",
       "3    Guatemala          GT                         15.78 -90.23       0   \n",
       "4    Guatemala          GT                         15.78 -90.23       0   \n",
       "..         ...         ...      ...  ...      ...    ...    ...     ...   \n",
       "895  Guatemala          GT                         15.78 -90.23  922340   \n",
       "896  Guatemala          GT                         15.78 -90.23  927473   \n",
       "897  Guatemala          GT                         15.78 -90.23  933259   \n",
       "898  Guatemala          GT                         15.78 -90.23  939300   \n",
       "899  Guatemala          GT                         15.78 -90.23  939300   \n",
       "\n",
       "        Status                      Date  \n",
       "0    confirmed 2020-01-22 00:00:00+00:00  \n",
       "1    confirmed 2020-01-23 00:00:00+00:00  \n",
       "2    confirmed 2020-01-24 00:00:00+00:00  \n",
       "3    confirmed 2020-01-25 00:00:00+00:00  \n",
       "4    confirmed 2020-01-26 00:00:00+00:00  \n",
       "..         ...                       ...  \n",
       "895  confirmed 2022-07-05 00:00:00+00:00  \n",
       "896  confirmed 2022-07-06 00:00:00+00:00  \n",
       "897  confirmed 2022-07-07 00:00:00+00:00  \n",
       "898  confirmed 2022-07-08 00:00:00+00:00  \n",
       "899  confirmed 2022-07-09 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_rt_gt = \"https://api.covid19api.com/country/guatemala/status/confirmed/live\"\n",
    "df_rt_gt = pd.read_json(url_rt_gt)\n",
    "df_rt_gt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "2b677e07",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid-19 en Guatemala'}, xlabel='Date'>"
      ]
     },
     "execution_count": 66,
     "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": [
    "casos_gt = df_rt_gt.set_index('Date')['Cases']\n",
    "casos_gt.plot(title=\"Casos de Covid-19 en Guatemala\",kind = \"area\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25f80906",
   "metadata": {},
   "source": [
    "# Ploteamos los datos de los países\n",
    "\n",
    "Para *plotear* dos o más países hay que seguir los siguientes pasos:\n",
    "\n",
    "Volvemos a identificar las variables previas de lectura de *Json* de las dos *URLs* para no tener que repetir el proceso desde arriba al cerrar el documento.\n",
    "\n",
    "Al igual que antes, se añaden todos los casos de los distintos países en una misma tabla.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "db1a0eab",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "                            Cases   Cases  Cases   Cases   Cases   Cases\n",
       "Date                                                                    \n",
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     "execution_count": 68,
     "metadata": {},
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   "source": [
    "pd.concat([casos_pa,casos_cr,casos_ni,casos_hn,casos_sv,casos_gt],axis=1)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "069ff881",
   "metadata": {},
   "source": [
    "Luego se definen la columnas con el país al que le corresponden los datos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "421f56e7",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "                           Panamá  Costa Rica  Nicaragua  Guatemala  \\\n",
       "Date                                                                  \n",
       "2020-01-22 00:00:00+00:00       0           0          0          0   \n",
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       "2022-07-09 00:00:00+00:00  925254      904934      14721     939300   \n",
       "\n",
       "                           El Salvador  Honduras  \n",
       "Date                                              \n",
       "2020-01-22 00:00:00+00:00            0         0  \n",
       "2020-01-23 00:00:00+00:00            0         0  \n",
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       "\n",
       "[900 rows x 6 columns]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "casos_pa_cr_ni_gt_sv_hn = pd.concat([casos_pa,casos_cr,casos_ni,casos_gt,casos_sv,casos_hn],axis=1)\n",
    "casos_pa_cr_ni_gt_sv_hn.columns= ['Panamá','Costa Rica', 'Nicaragua', 'Guatemala', 'El Salvador', 'Honduras']\n",
    "casos_pa_cr_ni_gt_sv_hn"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8dffd490",
   "metadata": {},
   "source": [
    "Finalmente se muestra la tabla con las diferentes columnas. Aquí se pueden apreciar los diferentes casos de Covid19 en varios países de Centroamérica."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "3cda88da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Cuadro comparativo de casos Covid-19 en los países de Centroamérica'}, xlabel='Date'>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "casos_pa_cr_ni_gt_sv_hn.plot(title=\"Cuadro comparativo de casos Covid-19 en los países de Centroamérica\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}