ad4_1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "85d19942",
   "metadata": {},
   "source": [
    "# Actividad dirigida 4\n",
    "\n",
    "En esta ** actividad dirigida 4** nos conectaremos con el API del COVID19 y analizaremos con **Panda**\n",
    "\n",
    "Nos conectaremos al API: https://api.covid19api.com/\n",
    "\n",
    "Lo siguiente sería instalar la librería de *Panda*\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cef71477",
   "metadata": {},
   "source": [
    "## Instalación e importación de Pandas\n",
    "\n",
    "A continuación los códigos para la instalación e importación de la librería **Pandas**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2b3f71cc",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeableNote: you may need to restart the kernel to use updated packages.\n",
      "\n",
      "Requirement already satisfied: pandas in d:\\anaconda\\lib\\site-packages (1.4.2)\n",
      "Requirement already satisfied: python-dateutil>=2.8.1 in d:\\anaconda\\lib\\site-packages (from pandas) (2.8.2)\n",
      "Requirement already satisfied: numpy>=1.18.5 in d:\\anaconda\\lib\\site-packages (from pandas) (1.21.5)\n",
      "Requirement already satisfied: pytz>=2020.1 in d:\\anaconda\\lib\\site-packages (from pandas) (2021.3)\n",
      "Requirement already satisfied: six>=1.5 in d:\\anaconda\\lib\\site-packages (from python-dateutil>=2.8.1->pandas) (1.16.0)\n"
     ]
    }
   ],
   "source": [
    "pip install pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d2b01332",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd4b8063",
   "metadata": {},
   "source": [
    "## Conexión con URL\n",
    "\n",
    "Creamos una variable llamada `url` y la definimos como la dirección del API que tiene la información del COVID19 en los distintos países."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4c1ef34f",
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://api.covid19api.com/countries'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4235d24",
   "metadata": {},
   "source": [
    "Comprobamos la variable invocando `url`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "190840f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://api.covid19api.com/countries'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d05b76bd",
   "metadata": {},
   "source": [
    "## Data Frame\n",
    "\n",
    "Como el API tiene la información en un lista de datos JSON, creamos un **Data Frame** `df`(estructuras de lista de datos de Python) compuesto por la función de *Pandas* que permite leer el formato JSON.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "436e1ec1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_json(url)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0dd7cbcd",
   "metadata": {},
   "source": [
    "Comprobamos el `df` invocándolo y nos aparece el JSON en formato de tabla. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "07a2a596",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\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>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": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1836db0a",
   "metadata": {},
   "source": [
    "## Datos por país"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51d8617c",
   "metadata": {},
   "source": [
    "### España\n",
    "\n",
    "Para obtener los datos específicamente de **España**, utilizamos el siguiente código:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2416d2d6",
   "metadata": {
    "scrolled": true
   },
   "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>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": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Country'] == 'Spain']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "009fa48c",
   "metadata": {},
   "source": [
    "A continuación creamos una **nueva variable** llamada `url_rt_es` y la definimos con la sección del API que tiene los datos en tiempo real de los casos en España. \n",
    "\n",
    "También hacemos un **data frame** que ayudado por la función de *Pandas*, lea el JSON de estos datos específicos y terminamos invocándo este mismo *data frame* para obtener la tabla."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "610ae185",
   "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": 9,
     "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": "0b3111ff",
   "metadata": {},
   "source": [
    "Para obtener la **cabecera** de esta tabla utilizamos el siguiente código:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "51b9db12",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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",
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       "  </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",
       "  </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": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rt_es.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d13383e0",
   "metadata": {},
   "source": [
    "Para obtener la **parte final** de esta tabla utilizamos el siguiente código:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4ef64eff",
   "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>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": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rt_es.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9732c350",
   "metadata": {},
   "source": [
    "### Visualización\n",
    "\n",
    "A continuación definimos los datos que queremos representar en la visualización gráfica. En esta ocasión escogimos la **fecha** y la **cantidad de casos**. Además, le pedimos que *plotée*, le añada el título y sumamos el parametro kind **\"area\"** para determinar este tipo de gráfica."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4cd3e375",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid-19 en España desde 20/01/2020 hasta 9/07/2022'}, xlabel='Date'>"
      ]
     },
     "execution_count": 12,
     "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 desde 20/01/2020 hasta 9/07/2022\", kind = \"area\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df12496d",
   "metadata": {},
   "source": [
    "## Datos Panamá\n",
    "\n",
    "Seguiremos el mismo procedimiento que hemos hecho con **España** para obtener y visualizar los datos de COVID19 en Panamá\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b7feb3eb",
   "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": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Country'] == 'Panama']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9774f8b5",
   "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>932710</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-10 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  932710   \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 2022-07-10 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 14,
     "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": 15,
   "id": "089531c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid-19 en Panamá desde 20/01/2020 hasta 9/07/2022'}, xlabel='Date'>"
      ]
     },
     "execution_count": 15,
     "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 desde 20/01/2020 hasta 9/07/2022\", kind = \"area\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b607565d",
   "metadata": {},
   "source": [
    "## Comparación de datos de dos países (España y Panamá)\n",
    "\n",
    "Después de obtener los datos de ambos países, ahora **contrastaremos el comportamiento del virus en España y Panamá** a través de una gráfica comparativa.\n",
    "\n",
    "Para lograr esto primero tendremos que concatenar los resultados basándonos en el eje de las filas *(axis=1)* creando la variable `pa_vs_es`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b69ccea2",
   "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>Cases</th>\n",
       "      <th>Cases</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-22 00:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-23 00:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-24 00:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-25 00:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-26 00:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-05 00:00:00+00:00</th>\n",
       "      <td>12890002.0</td>\n",
       "      <td>925254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-06 00:00:00+00:00</th>\n",
       "      <td>12890002.0</td>\n",
       "      <td>925254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-07 00:00:00+00:00</th>\n",
       "      <td>12890002.0</td>\n",
       "      <td>925254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-08 00:00:00+00:00</th>\n",
       "      <td>12973615.0</td>\n",
       "      <td>932710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-10 00:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>932710</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Cases   Cases\n",
       "Date                                         \n",
       "2020-01-22 00:00:00+00:00         0.0       0\n",
       "2020-01-23 00:00:00+00:00         0.0       0\n",
       "2020-01-24 00:00:00+00:00         0.0       0\n",
       "2020-01-25 00:00:00+00:00         0.0       0\n",
       "2020-01-26 00:00:00+00:00         0.0       0\n",
       "...                               ...     ...\n",
       "2022-07-05 00:00:00+00:00  12890002.0  925254\n",
       "2022-07-06 00:00:00+00:00  12890002.0  925254\n",
       "2022-07-07 00:00:00+00:00  12890002.0  925254\n",
       "2022-07-08 00:00:00+00:00  12973615.0  932710\n",
       "2022-07-10 00:00:00+00:00         NaN  932710\n",
       "\n",
       "[900 rows x 2 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pa_vs_es = pd.concat([casos_es,casos_pa],axis=1)\n",
    "pa_vs_es"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "540146c4",
   "metadata": {},
   "source": [
    "Luego tendremos que **titular las columnas** con el nombre del país al que pertenecen los datos (porque solo aparece la variable *cases* en ambas columnas.\n",
    "\n",
    "Para eso creamos un nuevo objeto llamado `pa_vs_es.columns`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b09aa0e4",
   "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>España</th>\n",
       "      <th>Panamá</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-22 00:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-23 00:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-24 00:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-25 00:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-26 00:00:00+00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-05 00:00:00+00:00</th>\n",
       "      <td>12890002.0</td>\n",
       "      <td>925254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-06 00:00:00+00:00</th>\n",
       "      <td>12890002.0</td>\n",
       "      <td>925254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-07 00:00:00+00:00</th>\n",
       "      <td>12890002.0</td>\n",
       "      <td>925254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-08 00:00:00+00:00</th>\n",
       "      <td>12973615.0</td>\n",
       "      <td>932710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-10 00:00:00+00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>932710</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               España  Panamá\n",
       "Date                                         \n",
       "2020-01-22 00:00:00+00:00         0.0       0\n",
       "2020-01-23 00:00:00+00:00         0.0       0\n",
       "2020-01-24 00:00:00+00:00         0.0       0\n",
       "2020-01-25 00:00:00+00:00         0.0       0\n",
       "2020-01-26 00:00:00+00:00         0.0       0\n",
       "...                               ...     ...\n",
       "2022-07-05 00:00:00+00:00  12890002.0  925254\n",
       "2022-07-06 00:00:00+00:00  12890002.0  925254\n",
       "2022-07-07 00:00:00+00:00  12890002.0  925254\n",
       "2022-07-08 00:00:00+00:00  12973615.0  932710\n",
       "2022-07-10 00:00:00+00:00         NaN  932710\n",
       "\n",
       "[900 rows x 2 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pa_vs_es.columns = ['España', 'Panamá']\n",
    "pa_vs_es"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "487a6a25",
   "metadata": {},
   "source": [
    "## Gráfica de comparación Panamá vs España\n",
    "\n",
    "Ahora plotearemos la variable `pa_vs_es` colocándole un título acorde."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fadaa7cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Comparativa Covid19 España-Panamá'}, xlabel='Date'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LqVjib6OGffwzZszgxhtvZNasWVRVVaGq3HvvvfvKR40axXHHHUdBQQGPPPIISUlJXHfddZx33nk899xzHH/88aSkpDQbMyMjg+9+97uMGzeOIUOGMHHixI5aPWOMBz5cv5sXP9vG80vyADhyUAaXf2MIsyb09/XPlV3+nru5ubna8EYsq1atYsyYMT7VqPXmzJnDGWec4VvrPNq2lzHRbnNhOZ9uLOLOV1YSDis5vZL5+ayxTBmW2Wl1EJElqprbWJlnLX4ReQw4A9ipqoc3Uj4buNUdLQOuVdXPvYpvjDF+C4eV37+9jt/9dw1hhdTEeF66/lhG9u3pd9X242VXz+PAA8BfmijfCBynqntEZCYwH5jsYfwuy/55a0z39/7a3Vz71yWUVoeIDwg/nzWWWRP6k5bU9S6J7lniV9V3RWRIM+WRf0P9GMjxKrYxxviloKSKHzy7jCWb95CaFM/3pgzjx6eOJq6Dz8VvD78O7l4FvOZTbGOM8cR7a3dxxZ8XEQor4wak86NTR/HNkdl+V+ugOj3xi8jxOIl/ajPTXA1cDTBo0KBOqpkxxrRMeXWIn770Jf9clg/AD08eyXXHD+/SrfxInXqtHhEZDzwKzFLVwqamU9X5qpqrqrnZ2V3/27MrePjhhykp8fbSFcaY/dWEwryzZhdTfvVf/rksnyNy0nn1+9O44cQRUZP0oRNb/CIyCHgRuFRV1xxs+q4uLi6OcePGEQqFGDNmDE888QTJycm+1OX5558nPz+ftLQ0X+IbEwvW7yrj+qc+Y/WOUgCumjqU208fE5U3O/LydM5ngOlAlojkAT8DggCq+ghwB5AJPORuqFBT55hGg8hr9cyePZtHHnmEm2++2Ze6VFZW8vOf/9yX2MZ0Z+Gw8t/VO1m1vYQ3VxawekcpJ43pww9OGsnhA9L9rl6bedbVo6qXqGo/VQ2qao6q/klVH3GTPqr6HVXtpaoT3EfUJv2Gpk2bxrp16/jXv/7F5MmTOfLIIznppJMoKCgAYN68eVx55ZVMnz6dYcOGcf/99++b9+yzz+boo49m7NixzJ8/f9/rqamp3HrrrRx99NGcdNJJfPrpp/vmf/nll4GvL+t87733kpuba9fvN8YjobowDy5Yx4jbX+O7f1nMPW+u4cttxXz/xBE8evnEqE760B3+ufvabbDjS2+DHjIOZjZ/R63U1FTKysoIhUKcd955zJgxg4svvpiMjAxEhEcffZRVq1bx29/+lnnz5vGf//yHBQsWUFpayqhRo9ixYwfBYJCioiJ69+5NZWUlEydO5J133tl3I/lXX32VmTNncs4551BeXs6///1vVq5cyeWXX86yZcuoqKggEAiQlJTE6tWrmT17NkuWLDmgrvbPXWNaZmtRBf/336t4fcUOABLiAvx4xii+NXkQifFxUdWP3yn/3I01kdfqmTZtGldddRVfffUVF110Edu3b6empoahQ4fum/70008nMTGRxMRE+vTpQ0FBATk5Odx///289NJLAGzdupW1a9eSmZlJQkICM2bMAGDcuHEkJiYSDAYZN24cmzZtApzLQN90002sXr2aYDDI6tWrO3UbGNOdPLxwPfe+tYaaUJijB/fiwtwcZozt58tF1Dpa9Cf+g7TMO0pj1+O/4YYbuPnmmznrrLNYuHAh8+bN21fW2GWWFy5cyFtvvcVHH31EcnIy06dP33cFzmAwuO+gUSAQ2Dd/IBAgFAoBcO+995Kdnc2f/vSnffcCMMa0jqpyxz9X8OTHm+mdksDcGcO5curQg88YxaI/8XchxcXFDBgwAIAnnniiRdP36tWL5ORkVq9ezccff9yqeHv27GHgwIEAPPnkkwe9rLMxZn9Lt+zh6ieXsKu0mrSkeN686ZtkpiYefMYoZ/fc9dC8efO44IILmDZtGllZWQedfsaMGYRCIcaPH8///M//MGXKlFbFu/baa3n88ceZMmUKa9asOehlnY0xjkWbivjx859zzkMfUlVTx+XfGMyi20+KiaQP3eHgrjko217GfO1vi7bwkxe/JKwwqm9PfnLaaKaP6uN3tTxnB3eNMTFva1EFP33pS95bu5tvjszm95ccSVpSfFT+Aau9LPEbY7q9DbvKOPfhD6muDXNhbg4/O3MsKYmxm/6ids1VNSa/qVurq3flGdPRfv36ah5euB6Af15/LEcMzPC3Ql1AVCb+pKQkCgsL9/3RyTROVSksLLTTPE3M+ueybTy8cD2nj+/HeUcNsKTvisrEn5OTQ15eHrt27fK7Kl1eUlISOTl2zxsTW1SVX722mvnvbuDowb2458IjSIyP87taXUZUJv5gMLjfv2KNMSbSU59sYf67GxjbP82SfiOiMvEbY0xTtu2t5K5XVjJtRBZPXDGJQBRdX6ezWOI3xnQb63aWctI97wLwy3PGWdJvgv1z1xjTbTy0wDl75xdnH87A3v7cGCkaWOI3xnQLO0ureOWL7cw5ZgjfnjLY7+p0aZb4jTHdwpMfbSYUDjPnmCF+V6XLs8RvjOkW1hSUMjQrhSFZdrHCg7HEb4yJeh+tL2RFfon167eQZ4lfRB4TkZ0isryJchGR+0VknYh8ISJHeRXbGBO7KmpCXPH4p+TtqWR8lN8Lt7N42eJ/HJjRTPlMYIT7uBp42MPYxpgY9d7a3VTVhvnjZbncdPJIv6sTFTxL/Kr6LlDUzCSzgL+o42MgQ0T6eRXfGBOb/rOigPQeQaaPyrZrd7VQZ/bxDwC2Roznua8dQESuFpHFIrLYrsdjjGnOO2t2cfyobIJxdsiypTpzSzX2VdzoNYNVdb6q5qpqbnZ2dgdXyxgTrYora9ldVs1h/dP8rkpU6czEnwcMjBjPAfI7Mb4xppv5+b9WADDIzuZplc5M/C8Dl7ln90wBilV1eyfGN8Z0I6VVtbz42TYAjhrUy+faRBfPLtImIs8A04EsEckDfgYEAVT1EeBV4DRgHVABXOFVbGNM7Fm+rQSAP18xkT5pdrOh1vAs8avqJQcpV+B6r+IZY2LbivxiAMbZufutZofBjTFRafm2YvqlJ5GVmuh3VaKOJX5jTFRanl/C2P7W2m8LS/zGmKhTURNi/a4yDh9gp3G2hSV+Y0zUWbW9BFWsxd9GlviNMVEnb08lAEMy7fz9trDEb4yJOkXlNQD0TknwuSbRyRK/MSbq7CmvQQQyki3xt4UlfmNMVCkqr+H+t9eR3iNIXMCuxtkWlviNMVHlrZUFAEwe2tvnmkQvS/zGmKiyblcZCfEBHpp9tN9ViVqW+I0xUWVtQSmHZqdaN087WOI3xkSVdbvKGN4n1e9qRDVL/MaYqFFZU0fenkpGWOJvF0v8xpiosX5XGapYi7+dLPEbY6LGynznGvwj+1ribw9L/MaYqPHJxiIyUxI4NNsSf3tY4jfGRI2dpVUMykxGxM7oaQ9L/MaYqFFUXkMvu0xDu3ma+EVkhoh8JSLrROS2RsrTReRfIvK5iKwQEbvvrjGmxfZW1JKRHPS7GlHPs8QvInHAg8BM4DDgEhE5rMFk1wMrVfUInBuz/1ZE7OvbGHNQX+TtZdveSmvxe8DLFv8kYJ2qblDVGuBZYFaDaRToKU4HXSpQBIQ8rIMxppv63ze+AmB8jt18pb28TPwDgK0R43nua5EeAMYA+cCXwI2qGvawDsaYbmr9zjLOOXIAsyY0TCumtbxM/I0dZtcG46cCy4D+wATgARE54KaZInK1iCwWkcW7du3ysIrGmGhUURMiv7iKYVkpflelW/Ay8ecBAyPGc3Ba9pGuAF5UxzpgIzC64YJUdb6q5qpqbnZ2todVNMZEo427ywEYZufve8LLxL8IGCEiQ90DthcDLzeYZgtwIoCI9AVGARs8rIMxphvasKs+8VuL3wvxXi1IVUMiMhd4A4gDHlPVFSJyjVv+CHAX8LiIfInTNXSrqu72qg7GmO5p/a4yRGCodfV4wrPED6CqrwKvNnjtkYjhfOAUL2MaY7q/dTvLGNgrmaRgnN9V6Rbsn7vGmC5v/a5yDrVuHs9Y4jfGdGnhsLJhV5ldmM1DlviNMV3anooaqkNhBvTq4XdVug1L/MaYLq2wvAaAzNREn2vSfVjiN8Z0aYVlTuLPSrFr9HjFEr8xpssKh5Wb/74MsBa/lyzxG2O6rJ2l1WwvriItKd7O4feQJX5jTJdVUFIFwD0XTiAh3tKVV2xLGmO6rHfXOBdp7JuW5HNNuhdL/MaYLus/KwsAGJSZ7HNNuhdL/MaYLqkurKzbWcalUwaT3sNut+glS/zGmC5p4+4yKmvrmDAww++qdDuW+I0xXdKK/BIAxg444F5Npp0s8RtjuqSdJdUA9M+wSzV4zRK/MaZLKq6sJSCQmuDp1eMNlviNMV1UcWUtaT2CBAKN3c7btIclfmNMl1RcWWtn83QQS/zGmC7nwQXrePnzfEv8HcQSvzGmy3l+SR4DMnpw1dShflelW/I08YvIDBH5SkTWichtTUwzXUSWicgKEXnHy/jGmOhXWxdmS1EF5xw5gFkTBvhdnW7Js8PlIhIHPAicDOQBi0TkZVVdGTFNBvAQMENVt4hIH6/iG2O6h1XbS6gLK6MO6el3VbotL1v8k4B1qrpBVWuAZ4FZDab5FvCiqm4BUNWdHsY3xnQDn2woAmDy0N4+16T78jLxDwC2Roznua9FGgn0EpGFIrJERC5rbEEicrWILBaRxbt27fKwisaYru6TjUUMzUqhj12Rs8N4mfgbO9lWG4zHA0cDpwOnAv8jIiMPmEl1vqrmqmpudna2h1U0xnR1G3aXMaafdfN0JC8Tfx4wMGI8B8hvZJrXVbVcVXcD7wJHeFgHY0wUU1Xy91bSP90u09CRvEz8i4ARIjJURBKAi4GXG0zzT2CaiMSLSDIwGVjlYR2MMVGquKKWk+99l6raMP3s+jwdyrOzelQ1JCJzgTeAOOAxVV0hIte45Y+o6ioReR34AggDj6rqcq/qYIyJXv/+cjvrdpZxyaSBnDG+n9/V6dZEtWE3fNeSm5urixcv9rsaxpgOpKqcet+7BER47cZpiNj1edpLRJaoam5jZfbPXWOMr1SVP72/kTUFZVw5dagl/U5gid8Y46s/vb+RX/x7FUnBAKcedojf1YkJlviNMb75z4od/N9XVzF9VDYLbplOerJdlK0z2B0OjDGdbldpNbf/40veWFHAsKwUHp59ND0S4vyuVsywxG+M6TRLNhfx1CdbePGzbQBcMmkQc44ZYkm/k1niN8Z0mJpQmDUFpbyxYgdvrixg9Y5SUhPjmTH2EGZPGcS0EfbPfD9Y4jfGtJqqUl5TR2FZNbvLathdVk3hvmfnte3FlSzfVkJNXZi4gHDUoAx+ePJIrpw6lJRESz1+sq1vjAGc1nlBSRUFJVXsKKliV2k1ReU1FJbXsKe8hpKqWkqrQhSW1VBYXk1VbbjR5aT3CJKZmkBmSgJXHDuEMf3SmDysN/3sMgxdhiV+Y2JMXVhZtb2E5duKWbplL+t2lbG5sILdZdUHTBsQ6JWcQK+UBNJ7BOmVnMDw7FQyUxPISk0kMzWRLHc4KzWR3ikJJMTbyYJdnSV+Y2JAqC7Ma8t38PLn+XyZV8yOkirAaZ2PPqQnJ4zOpn9GD/qlJ9E3LYlD0pPITk0kIzmBuID9oaq7scRvTDe2p7yG+95aw3NL8qioqaN/ehKHD0jj1pmjOHJgLwb2TrbEHoMs8RvTDe0sreKuV1bx1soCauvCnDK2LyeN6cvZEwYQsEQf8yzxG9ON1IWVvy3ayq9eXUV1XZhTxx7CVVOHMmFght9VM12IJX5juonKmjp+8LelvLGigF7JQf5+zbGM6Zfmd7VMF2SJ35huYNveSq55cgnL84v5yczRXH7MEJKC9m9Y0zhL/MZEufy9lVz4yEds21vJRbkD+d5xh/pdJdPFWeI3JooVV9Zy4R8+oqSyln9cf6z15ZsWscRvTJTaWlTBmQ+8z96KWn55zjhL+qbFPP2LnYjMEJGvRGSdiNzWzHQTRaRORM73Mr4xsaKypo7vPLGYurByz4VHcNHEgX5XyUQRz1r8IhIHPAicDOQBi0TkZVVd2ch0v8a5KbsxppUKSqq49E+fsKagjMfm5HLC6L5+V8lEGS9b/JOAdaq6QVVrgGeBWY1MdwPwArDTw9jGxIRQXZgbnl7KmoIyLjg6h+NH9fG7SiYKednHPwDYGjGeB0yOnEBEBgDnACcAE5takIhcDVwNMGjQIA+raEz0+mpHKb96bRWfbiridxdPYNaEAX5XyUQpLxN/Y/8D1wbj9wG3qmqdSNN/G1fV+cB8gNzc3IbLMCam1ITCPPbBRu55cw01oTBXTR1qSd+0i5eJPw+IPMKUA+Q3mCYXeNZN+lnAaSISUtV/eFgPY6JaaVUtmwsr2FJUwQfrdvPCZ3lU1YY5cXQffnnuOPqmJfldRRPlvEz8i4ARIjIU2AZcDHwrcgJVHVo/LCKPA69Y0jexqrKmji1FFazIL+a9tbvJ31vJ2p1lFJXX7JsmMT7AGeP7c8yhmZw1oT/BOLvWvWk/zxK/qoZEZC7O2TpxwGOqukJErnHLH/EqljHRZtveSr7aUcKq7aV8vnUvmwsrWLOzFHU7MnunJDA4M5lTx/ZlcGYKg3snM7B3MoMyk0lLCvpbedPtePoHLlV9FXi1wWuNJnxVneNlbGO6ir0VNSzZvIdV20v4aEMhX+0o2+/uVsOyncR+6ti+HNonlUOzUxl9SE/irTVvOon9c9eYdlJVthRV8NryHSxYvZNFm4oIuy35w/qlcfyobEb3S+OInHQGZ6aQ3TPR3wqbmGeJ35g22lJYwcI1O3nq4y18VVAKwOhDenL5MUOYeXg/hvdJpXdKgs+1NOZAlviNaYU95TW8ubKApz7dwudb9wIwsHcPfjxjFKccdgjD+6T6W0FjWsASvzHNKCyrZtGmPXy6sYhFm4pYkV9MWKFfehI/mTmaowb3IndwL5r7X4oxXY0lfhOTQnVhlrkt9twhvQEorqhl654Klm7Zw/pd5Xywbjdrd5YBzmmVRw7KYO4JI5g+KpvD+6eTEG8HY010ssRvYkY4rHyysYhnPt3Cgq92UloVAuDiiQNZkV/C8vzifadXBuOE8TkZ/OjUUUwe2ptxOekkxtsdrUz3YInfdHvl1SH+tmgrf/5wI1uLKgnGCWcdMYA+aYk8vHA9r6/YwfDsVH5w4kiGZCVz1KBe5PTqYd03ptuyxG+6tS/y9jL36aVsKaqgf3oSv7t4AieO6UtqovPW//4JI0gKBizJm5hiid90Ww8vXM+vX19N37RE/nzFRI45NPOA7poeCdZ9Y2KPJX7TLT23eCu/fn01Y/ql8YuzD+fowb38rpIxXYYlftPtFJRU8aPnv+DY4Zk8ccUkuxSCMQ3YJ8J0K1sKK5j8y/8CcMspoyzpG9MI+1SYbiMcVm594QsS4gP8+rxxTBiY4XeVjOmSrKvHdBuvLd/BRxsK+dW547hoot2y05imWIvfdAsr8ou5/unP6J2SwEW5Aw8+gzExzBK/iXp1bhcPwNzjhxMI2Dn5xjTHunpM1Hvyo00s31bC7y6eYDchN6YFrMVvotrWogrm/WslU4b15qwj+vtdHWOigiV+E7X2lNdw1gPvA3D+0QPtsgvGtJCniV9EZojIVyKyTkRua6R8toh84T4+FJEjvIxvYoeqcvs/llNaFeLPV0zkvKOsi8eYlvIs8YtIHPAgMBM4DLhERA5rMNlG4DhVHQ/cBcz3Kr6JHRU1IeY+s5R/f7mdG08cwfGj+lhr35hW8PLg7iRgnapuABCRZ4FZwMr6CVT1w4jpPwZyPIxvYkBxRS3f/tMnfLmtmMMHpPHdbw7zu0rGRB0vE/8AYGvEeB4wuZnprwJea6xARK4GrgYYNMj+iGNgc2E5t73wJV9uK6asOsTtp4/hO9Ms6RvTFl4m/sZ+a2ujE4ocj5P4pzZWrqrzcbuBcnNzG12G6f72VtTwt0VbefnzfFZtLyE1MZ4zj+jP6eP6MXVElt/VMyZqeZn484DIv0zmAPkNJxKR8cCjwExVLfQwvukGyqpDfLy+kBc+y+OtVQXU1ilHDsrg8mOGcOWxQxnYO9nvKhoT9bxM/IuAESIyFNgGXAx8K3ICERkEvAhcqqprPIxtotjWogreXr2Tt1YVsGhTEVW1YXolB5k9eTCnjevHpKG9/a6iMd2KZ4lfVUMiMhd4A4gDHlPVFSJyjVv+CHAHkAk85J6FEVLVXK/qYKJHWXWIpz/ZzD+W5rNyewkAfXomcu5RORw3MpspwzJJ7xH0uZbGdE+i2rW70HNzc3Xx4sV+V8N4pLSqlr98tJk/vLOekqoQR+Skc8zwLC7MHcjQrBS/q2dMtyEiS5pqWNu1ekynqAsrT32ymf99/StKq0NMHtqbG08cwTHD7SCtMZ3NEr/pcMUVtVz95GI+2VhEVmoCj13xDSYOsX57Y/xiid90qE82FHL900vZXVbNj04dxfe+Ocxuh2iMzyzxmw7z2pfbufHZZSQGA3z/hOFcf/xwv6tkjMESv+kA4bBy/9true+ttUwYmMETV0wiPdnO0DGmq7DEbzxVWxfmhqeX8vqKHYzsm8rd542zpG9MF2OJ33hm+bZirn1qCVuLKrlt5mi+981hdtVMY7ogS/ym3YrKa5j/7gb+9P4GeiYFufLYoZb0jWmtUA1Ul0JNKVSXQU0ZJPaEvmM9D2WJ37TZup2lPP3JVp5bvJXS6hCThvTm4W8fRWZqot9VM6ZrCNdB6Q4ozoPire5zHpTkQ2URVO5xH3uhrvrA+UefARc/5Xm1LPGbVgnVhflkYxGPvreBBV/tAuDkw/py5bFDmTikl52qabqvcB2Eqp0EHYp8VEL5bigrcB4l22HnStizGUrzIRzafzlJ6ZA2AJIzIWsE9OgNPTKc1n1iGiSkQmKq85zWMXeWs8RvWmRHcRUvfJbHY+9vpLC8huSEOG45ZSQnjO7LmH49rVvH+CdU7STaHcuhbIfTmq4uhZpy51GfrOtqnYeGQeucRK5h97ku4jncYBr3ufGrzB8oIRWyR8GgKZCeAxkDIX2gM5w2AJLSOnRztIQlftOsnSVV3P3aal7+PJ9QWBnUO5l5Z43lG4dmkmVdOsYvVSWw+t/w5XOwYaGTnOslZzqt6mAKJCRDsIeTbANBiIsHCYDEQSDOfW44HudOE9j/tUA8xCdCfBLEJTjP9eMpWZDaB1L6OK31Ls4SvzmAqvLJxiL++O4GFq7ZRV1Y+dbkQZx75AAmDMyw7hzjj9oqWPeWk+zXvA6hKsgYBFOuhX5HQE4u9OznJHrTLEv8Zp+dpVU8++lWnluyla1FlaQmxvPdacM4Y3w/Dh+Q7nf1TDRS/bpLRSO6UOqHw+EDy6rLoGK3029evgv2boGtn0D+UqirgZRsOOoyGHcB5EwE62ZsNUv8MW57cSXvrtnFM59uZdnWvQAcOSiD66YP58TRfeiTluRvBY2TOGsroLbS6bOurXQf9cONlIUqnRZyfd92uM45yBgOQbjBeHPldbUN+r0bSd4HJPeIYS8EgtD/SKdlP/Q45xFnqas9bOvFmKLyGpZvK2bJ5j0s2byH99ftBiAzJYEfnjySaSOzGT8gnUCgm7ai6pNUXU0jj9rGh0PuczjUoKzWSZJ1NVAX+nr6/aZzy8O1+483Nm84sjzitYZnhbREIOh0ecQlQFzQGa/vpw7EO4kz0OARn9h4+b5+b3GG9+v/DjT9aK68ubKEFKfPPCUbkrOcPntL9J6yrdmNVNbUsaeihqLymn3PeXsq2VJYweaicjYXVrC9uAqAgMCQrBSuOe5Qzj6yPyP69CQuWpJ9bRXs2QR7NkLJNuc86fLdULXXOR+6aq9zVkeoiaTe0rMzWisQv3+ijUtwElZcgvOILI9PgEDK1+NxwQbTNJg3mOweqHQPVgZTnOfGXgv2cBKrMU2wxO+xipoQawvKyN9bSVJCHKVVIUqraqmorqO8JkRFTR3l1SFq68KE6pQa97m2LkxtWKkNhQmFw9TWKaGwUxYKK3VhZxrnWamLKAuFw4TCSlM3U8tKTWRwZjLfGJbJ8L6pDMtK4djhWfRM6oLX0FGFikL3Ty7boHgblOS5z9vcc6O3s1/yloB7JkeGcz50cib0GuqefRGMSKQRw/GNvNbccCD4dYv4gGTtDltfs4kSniZ+EZkB/A7nnruPqurdDcrFLT8NqADmqOpnXtahM4XqwizdupelW/awIr+E5duK2bC7vMkEDNAjGEdyQhwJ8QHi44RgXIBgIEAwXogPBAjGOc9JQacsPiDEu6/VD8dFTOeUOY+khDh6JyfQKyWB3ikJ9EoOckh6D1ITPdzNqk7XQ6jK/fNK5HOV0xpvtKzBc03Z1/9YrG+pV+5xhht2bQSCkNbfORd62HToNRh6Hwq9hzrnRaf2sRauMa3gWUYQkTjgQeBkIA9YJCIvq+rKiMlmAiPcx2TgYfc5auwuq2bB6p0s+Gon763dTWmVk6T6pScxtn86Z4zvz5h+afRJSyQcVjKSg/RMCpKSGE+PYJy33SnhuogDfe4Bvtrir1/bXQHbI8sq3eRcGZGkK79O1nU1Ef9MrGniuZp2d5UEgk4XRY9eX7fS0wY44z0yILWvM54+ANJynL7egJ1CaoxXvGzxTwLWqeoGABF5FpgFRCb+WcBf1LnD+8cikiEi/VR1u4f1AKCwII+1b/4RVHHCuV0h7jCqhBV32Dn7QCPKiJgnrGHKqkKUVtZQWO70EU9KiOOC7B4M6p1M//QkegQD7nxAvsK2iOS433Ijz56ocw/yRYzvO6sitP+ZFnU1+yf5morGr+1xUOL0AccnRTwnu39ESXQOrMX3jugSSWziOcmdN2n/P7I0+RwxnbXOjfGVl4l/ALA1YjyPA1vzjU0zANgv8YvI1cDVAIMGDWpTZfYWbGHKuvvaNG9jwgggEC9uV64ghQJF9S14cft43fH6YWlQHnlmRSA+YjzYYDze6TcO9vi6/ICDeZHPjb3W48DhuATrizYmxnmZ+BvLJg37BFoyDao6H5gPkJub26Z+hSGHTaJs6GYCAkIACQgiQkDqn93XIhN2wyQdkSCto8EY0114mfjzgIER4zlAfhum8URcfDypPTM6YtHGGBPVvGzILgJGiMhQEUkALgZebjDNy8Bl4pgCFHdE/74xxpimedbiV9WQiMwF3sA5nfMxVV0hIte45Y8Ar+KcyrkO53TOK7yKb4wxpmU8PY9fVV/FSe6Rrz0SMazA9V7GNMYY0zp2zNIYY2KMJX5jjIkxlviNMSbGiDZ3YZkuQER2AZubmSQL2N1J1bHYFtuP2H6us9/xY3GbexV7sKpmN1bQ5RP/wYjIYlXNtdgWu7vG9nOd/Y4fi9u8M2JbV48xxsQYS/zGGBNjukPin2+xLXY3j+3nOvsdPxa3eYfHjvo+fmOMMa3THVr8xhhjWsESvzHGxBhL/MYYE2OiIvG7N2n3K/YYn+L+UEROcYc7ff1FJD1iuFPj+7W//drXbmzf9ncs7ms3dkx+tqGLJ34RmSUiTwBH+BT/98CrIjKkE2OeIiJvALcCl8G+q5p2VvwTRGQZ8LCI/LQz4/u5v/3Y125c3/Z3rO5rN37MfbYjeXpZZi+IiKiqisjxwF1ALfANEdmsqns6I3bES72BPcBJIvKkqrbl7uYtigsEgTuA44BfAQnARBEJAqHOeIOISCrwU5zt/inwhIgkq+rtHRjTl/3t176uj43P+zuW9nVk7IiXYuqz3VCXavE32DkbgVOBH+HctH18Z8UWkTj35Y+Bh4HZwIiOjKuqNcA/VXWae1+DPcDFqlrbSUk/AKQCW4GlqroV+A5wkYiM7qCYvuxvv/Z1ZGw/93cs7euGsWPxs92YLpP43bt3vSgiN4nIIaq6SVW3q+rbQAFwnIgM6ODYPxCR/qpaJ87tI2cALwELgItF5FwRafSiR+2Me5OI9FPVRe7rQVV9B9ggIjO9itdI/OtE5DwAVQ3j3Pg+GycpoKobcNb/Tnd6z/oj/drffu3rBrE7fX/H4r5uEDumPtsHpaq+P4BzcO7ZezzwZ+ABYEJE+Xjgr8C5DeaTDop9tFv2c/f5EqAEWAX06cB1PqJ+vXB+ij4KnNIB27sn8AiwAygD4iPKfoNz28z68QDO1VHHRvv+9mtf+7m/Y3Vf+7m//fxst/TRVVr8k4GHVXUBMA/np+D36wtV9QucDXm4OAekbnVf9+JnUmOxr3XLTheR93AOxvwD5+dhiQcxm4p7IzjrpapFQA+cN0/9z3NPqGop8I6qHgK8AjwYUXwnMEFEThORRHVah6/g9FN6xa/97de+bip2h+/vGN7XTcXu1p/tlurUgA1/PkaMbwC+BaCqm4F/AykiclbE5M/g9EP+Ded61a36OdrK2Bki8g3gd8CHqjpBVS8DDgFadQpYO9f5r8AkEUlyP5St1kz8l93nHwCXiMgIty5lOC3Bi4GfisidwDRge1viNxG7w/d3K+J6tq/bENvz/d1E7A7f1/bZ9ndft1Znf9Ps15KI+FZ/HqgQkVnu+HZgIXCYOFJxdtSXwHhV/VGD+b2O/TbwTeApVb01YrZzVHVpK2K2Nu5C3HV2X+sBPAvUtTLmQeOrarmIBFR1B/AQzk/P+mmeBX6J87M0G5ipqgVtCS5fH0zr1P3dirhe7uvWxl6Ix/u7sdidtK/3yyWd/NluTWwv93eb1tl9zYvPdtt1dF+Suy2+ATyHs4MPA+Lc1+P1636vK4DX+frCcT8C5tVPRxv739oR+2fucBwQ6Oy49bE7YJvvW5/I9QK2uPMcAkyur2M7Yt/ZyOv169kh+7sdcdu1r72I3Z793VzsTtjXk3Bar78BxkXEi4uoQ0d9ttsau137u71x27OvvXp0eItfRPrgHNx4FSjE6eu6EkBVQ+5kPYA3cL4Z54tIf+BInPN8UdWQqu7s5Nghd7o6beVPMS/i1sdu3Rq3KH6dqobdllZ6xGy/Bj4A3gWS3Glb3c8qIpcDTwC3i8iF7mvxDZbn+f5uZ9w272uvYtfH9zp2R+1rEQmIyM9wfj28hpPAr8f9Q1bEunTEvm5v7Dbtb6/iNpjWHx39zQKcDDzjDqfgnL/7CjDafe0XOBvpSJyj3b/A+Vn0EO38VvQrtp/r3ML4d+G0Rqa54zOB1cD/A4LtjH0SkAOcAmyJeL2+NTSvg7a5L3GjIPbPOnBfXwUc5Q5n4iTD3IjyjlxvX2L7uc5ePrxfIJyN84/A093xbGAtcKg73tt9M/4aSAaeri+LWEZyNMX2c529iI/TFTSwnbHPcMfjcBMK8D5wV8S0fTpgm3dq3GiP7dG+rn+fJbvxE93xvwNndvB6d2psP9e5Ix/eLchJNv/A+fl4DbATON8tuxu4zx0OAFOBPwK9I+ZvU9+qn7H9XGeP4ren5dNY7HPcsgT3eSxQDPRtZH4vt3mHx+0GsTtkX0dMEwQ+BEZ21np3ZGw/17kzHt4tCKYAP4oYvxTndClw+sBeB05yx8fgnGKW4sVG8iu2n+vsd/zmYrvj9V0NjwJ/dodnduQ6d2Rci910bPe1ccBL7nBPYJI73N4/3fkS28917oxHe98QlwHTcX7+BHFbGjg/hY4G/uiOB4A5wHJgODAX+BeQEW2x/Vxnv+O3IPYf6t/47H8WSRjn+iS30bazKHyJa7FbFLv+LLXpwFPue+5LnL7wtp4p5EtsP9e5sx+tvjqnex7qITh9WWFgPfBd4EZVLRCROHWuhzEG90wCdY6cP+6ebXIbMBr4rqrujYbYfq6z3/FbGbuXG1sBFZHBwL3Ae8D1qrq8q8e12K2OXX+myqk4lz+oBmar84/cLh/bz3X2VSu/Eet/To4E/lr/7Qf8HnixwTR/AS50hw+JWEZCW76h/Irt5zr7Hb8dsbPd5wzcn7/RENdityl2fav4WOCiaIrt5zr7/WhRi989L/hOIE5EXgXScP9xpqohEfk+kC8ix6lz5TlwLgi1UZy/gZ8rIjNUNU+dS5S2mF+x/Vxnv+N7FPs0Vd2Cc633Lh3XYrc79kxV/aA1cf2M7ec6dxkt+FY8Dvgc59rV38U5yj0D599/kyKmuxZYUP8tCVThXOnvPtwWSRu+kX2J7ec6+x0/Fre5xY6d2H6uc1d6tGRDTQMujRh/yN0oc4Al7msBnH6yvwODgUPdDXRUuyrnU2w/19nv+LG4zS127MT2c5270qMlGyoZSOTrvq7ZwK/c4WXADe5wLvCsp5XzKbaf6+x3/Fjc5hY7dmL7/dnuKo+DXqtHVStUtVq/vrbEycAud/gKYIyIvIJzadUl4N3de/yK7ec6+x0/Fre5xY6d2H5/truMVnxTxuH8BHoNGO6+NhznTIKpwICO+nbyK7af6+x3/Fjc5hY7dmL7/dn2+3HQFn+EMM6fGnYD491vxf8Bwqr6vqpua8WyWsuv2H6us9/xY3GbW+zYie33Z9tfrfyWnIKzwd4HrurMbyi/Yvu5zn7Hj8VtbrFjJ7bfn20/H/U3CWgREcnBuWbFPapa3eIZPeBXbD/X2e/4sbjNLXbsxPb7s+2nViV+Y4wx0a81ffzGGGO6AUv8xhgTYyzxG2NMjLHEb4wxMcYSvzHGxBhL/MY0ICJ1IrJMRFaIyOcicrOINPtZEZEhIvKtzqqjMe1hid+YA1Wq6gRVHYtzLZfTgJ8dZJ4hgCV+ExXsPH5jGhCRMlVNjRgfBiwCsnAu0/skkOIWz1XVD0XkY5wb2m8EngDuB+7GuS9rIvCgqv6h01bCmGZY4jemgYaJ331tD859i0txrudSJSIjgGdUNVdEpgO3qOoZ7vRXA31U9Rcikgh8AFygqhs7c12MaUyrb7ZuTIyqvzRvEHhARCbg3K5vZBPTn4Jz8a/z3fF0YATOLwJjfGWJ35iDcLt66oCdOH39BcAROMfIqpqaDeemHm90SiWNaQU7uGtMM0QkG3gEeECdftF0YLuqhnEu8BXnTloK9IyY9Q3gWhEJussZKSIpGNMFWIvfmAP1EJFlON06IZyDufe4ZQ8BL4jIBcACoNx9/QsgJCKfA48Dv8M50+cz9w5Ou4CzO6f6xjTPDu4aY0yMsa4eY4yJMZb4jTEmxljiN8aYGGOJ3xhjYowlfmOMiTGW+I0xJsZY4jfGmBjz/wHm0bMx8Da+XgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pa_vs_es.plot(title=\"Comparativa Covid19 España-Panamá\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af53e4bf",
   "metadata": {},
   "source": [
    "## Comparativa del comportamiento del COVID19 en países centroamericanos.\n",
    "\n",
    "A continuación contrastaremos los datos de **Panamá** con el resto de países centroamericanos **(Costa Rica, Honduras, El Salvador, Guatemala y Nicaragua)**.\n",
    "\n",
    "Para conseguir esto, aplicaremos el procedimiento antes descrito para cada país."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e597fc77",
   "metadata": {},
   "source": [
    "### Costa Rica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6a73e8f1",
   "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>2022-07-10 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 2022-07-10 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 19,
     "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": 20,
   "id": "7af078d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid-19 en Costa Rica desde 20/01/2020 hasta 9/07/2022'}, xlabel='Date'>"
      ]
     },
     "execution_count": 20,
     "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 desde 20/01/2020 hasta 9/07/2022\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b55cd64f",
   "metadata": {},
   "source": [
    "## Honduras"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "af215e60",
   "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>2022-07-10 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 2022-07-10 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_rt_hnd = 'https://api.covid19api.com/country/honduras/status/confirmed/live'\n",
    "df_rt_hnd = pd.read_json(url_rt_hnd) \n",
    "df_rt_hnd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "2f4d7750",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid-19 en Honduras desde 20/01/2020 hasta 9/07/2022'}, xlabel='Date'>"
      ]
     },
     "execution_count": 22,
     "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_hnd = df_rt_hnd.set_index('Date')['Cases']\n",
    "casos_hnd.plot(title=\"Casos de Covid-19 en Honduras desde 20/01/2020 hasta 9/07/2022\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4214c54c",
   "metadata": {},
   "source": [
    " ## El Salvador"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "23ed2fad",
   "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>180970</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-10 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  180970   \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 2022-07-10 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_casos_elsalv = 'https://api.covid19api.com/country/el-salvador/status/confirmed/live'\n",
    "df_rt_elsalv = pd.read_json(url_casos_elsalv)\n",
    "df_rt_elsalv \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "de777601",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid19 en El Salvador desde 20/01/2020 hasta 9/07/2022'}, xlabel='Date'>"
      ]
     },
     "execution_count": 24,
     "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_elsalv = df_rt_elsalv.set_index('Date')['Cases']\n",
    "casos_elsalv.plot(title=\"Casos de Covid19 en El Salvador desde 20/01/2020 hasta 9/07/2022\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98ccca37",
   "metadata": {},
   "source": [
    "## Guatemala"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "657333a5",
   "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>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>944993</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-10 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  944993   \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 2022-07-10 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_casos_guat = 'https://api.covid19api.com/country/guatemala/status/confirmed/live'\n",
    "df_rt_guat = pd.read_json(url_casos_guat)\n",
    "df_rt_guat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "2bc79f8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid19 en Guatemala desde 20/01/2020 hasta 9/07/2022'}, xlabel='Date'>"
      ]
     },
     "execution_count": 26,
     "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_guat = df_rt_guat.set_index('Date')['Cases']\n",
    "casos_guat.plot(title=\"Casos de Covid19 en Guatemala desde 20/01/2020 hasta 9/07/2022\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e130c698",
   "metadata": {},
   "source": [
    "## Nicaragua"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b08b3ce2",
   "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>2022-07-10 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 2022-07-10 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_casos_ni = 'https://api.covid19api.com/country/nicaragua/status/confirmed/live'\n",
    "df_rt_ni = pd.read_json(url_casos_ni)\n",
    "df_rt_ni"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "40ef21ce",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid19 en Nicaraguas desde 20/01/2020 hasta 9/07/2022'}, xlabel='Date'>"
      ]
     },
     "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": [
    "casos_ni = df_rt_ni.set_index('Date')['Cases']\n",
    "casos_ni.plot(title=\"Casos de Covid19 en Nicaraguas desde 20/01/2020 hasta 9/07/2022\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8c3dfd1",
   "metadata": {},
   "source": [
    "## Concatenación de datos\n",
    "\n",
    "Aquí aplicaremos una concatenación de los datos de todos los países antes presentados. Crearemos una variable llamada  `df_centroamerica` para agrupar todos los datos de los países centroamericanos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "ffa2c6ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\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>Cases</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Cases</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</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>2020-01-22 00:00:00+00:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-23 00:00:00+00:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-24 00:00:00+00:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-25 00:00:00+00:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-26 00:00:00+00:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-05 00:00:00+00:00</th>\n",
       "      <td>925254</td>\n",
       "      <td>904934</td>\n",
       "      <td>427718</td>\n",
       "      <td>169646</td>\n",
       "      <td>922340</td>\n",
       "      <td>14690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-06 00:00:00+00:00</th>\n",
       "      <td>925254</td>\n",
       "      <td>904934</td>\n",
       "      <td>427718</td>\n",
       "      <td>169646</td>\n",
       "      <td>927473</td>\n",
       "      <td>14721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-07 00:00:00+00:00</th>\n",
       "      <td>925254</td>\n",
       "      <td>904934</td>\n",
       "      <td>427718</td>\n",
       "      <td>169646</td>\n",
       "      <td>933259</td>\n",
       "      <td>14721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-08 00:00:00+00:00</th>\n",
       "      <td>932710</td>\n",
       "      <td>904934</td>\n",
       "      <td>429408</td>\n",
       "      <td>180970</td>\n",
       "      <td>939300</td>\n",
       "      <td>14721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-10 00:00:00+00:00</th>\n",
       "      <td>932710</td>\n",
       "      <td>904934</td>\n",
       "      <td>429408</td>\n",
       "      <td>180970</td>\n",
       "      <td>944993</td>\n",
       "      <td>14721</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Cases   Cases   Cases   Cases   Cases  Cases\n",
       "Date                                                                    \n",
       "2020-01-22 00:00:00+00:00       0       0       0       0       0      0\n",
       "2020-01-23 00:00:00+00:00       0       0       0       0       0      0\n",
       "2020-01-24 00:00:00+00:00       0       0       0       0       0      0\n",
       "2020-01-25 00:00:00+00:00       0       0       0       0       0      0\n",
       "2020-01-26 00:00:00+00:00       0       0       0       0       0      0\n",
       "...                           ...     ...     ...     ...     ...    ...\n",
       "2022-07-05 00:00:00+00:00  925254  904934  427718  169646  922340  14690\n",
       "2022-07-06 00:00:00+00:00  925254  904934  427718  169646  927473  14721\n",
       "2022-07-07 00:00:00+00:00  925254  904934  427718  169646  933259  14721\n",
       "2022-07-08 00:00:00+00:00  932710  904934  429408  180970  939300  14721\n",
       "2022-07-10 00:00:00+00:00  932710  904934  429408  180970  944993  14721\n",
       "\n",
       "[900 rows x 6 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_centroamerica = pd.concat([casos_pa,casos_cr,casos_hnd,casos_elsalv,casos_guat,casos_ni],axis=1)\n",
    "df_centroamerica"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28686254",
   "metadata": {},
   "source": [
    "Colocamos el **nombre del país a cada columna**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "eccf31d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Panamá</th>\n",
       "      <th>Costa Rica</th>\n",
       "      <th>Honduras</th>\n",
       "      <th>El Salvador</th>\n",
       "      <th>Guatemala</th>\n",
       "      <th>Nicaragua</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-24 00:00:00+00:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-25 00:00:00+00:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-26 00:00:00+00:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-05 00:00:00+00:00</th>\n",
       "      <td>925254</td>\n",
       "      <td>904934</td>\n",
       "      <td>427718</td>\n",
       "      <td>169646</td>\n",
       "      <td>922340</td>\n",
       "      <td>14690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-06 00:00:00+00:00</th>\n",
       "      <td>925254</td>\n",
       "      <td>904934</td>\n",
       "      <td>427718</td>\n",
       "      <td>169646</td>\n",
       "      <td>927473</td>\n",
       "      <td>14721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-07 00:00:00+00:00</th>\n",
       "      <td>925254</td>\n",
       "      <td>904934</td>\n",
       "      <td>427718</td>\n",
       "      <td>169646</td>\n",
       "      <td>933259</td>\n",
       "      <td>14721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-08 00:00:00+00:00</th>\n",
       "      <td>932710</td>\n",
       "      <td>904934</td>\n",
       "      <td>429408</td>\n",
       "      <td>180970</td>\n",
       "      <td>939300</td>\n",
       "      <td>14721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-10 00:00:00+00:00</th>\n",
       "      <td>932710</td>\n",
       "      <td>904934</td>\n",
       "      <td>429408</td>\n",
       "      <td>180970</td>\n",
       "      <td>944993</td>\n",
       "      <td>14721</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Panamá  Costa Rica  Honduras  El Salvador  \\\n",
       "Date                                                                   \n",
       "2020-01-22 00:00:00+00:00       0           0         0            0   \n",
       "2020-01-23 00:00:00+00:00       0           0         0            0   \n",
       "2020-01-24 00:00:00+00:00       0           0         0            0   \n",
       "2020-01-25 00:00:00+00:00       0           0         0            0   \n",
       "2020-01-26 00:00:00+00:00       0           0         0            0   \n",
       "...                           ...         ...       ...          ...   \n",
       "2022-07-05 00:00:00+00:00  925254      904934    427718       169646   \n",
       "2022-07-06 00:00:00+00:00  925254      904934    427718       169646   \n",
       "2022-07-07 00:00:00+00:00  925254      904934    427718       169646   \n",
       "2022-07-08 00:00:00+00:00  932710      904934    429408       180970   \n",
       "2022-07-10 00:00:00+00:00  932710      904934    429408       180970   \n",
       "\n",
       "                           Guatemala  Nicaragua  \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",
       "2020-01-24 00:00:00+00:00          0          0  \n",
       "2020-01-25 00:00:00+00:00          0          0  \n",
       "2020-01-26 00:00:00+00:00          0          0  \n",
       "...                              ...        ...  \n",
       "2022-07-05 00:00:00+00:00     922340      14690  \n",
       "2022-07-06 00:00:00+00:00     927473      14721  \n",
       "2022-07-07 00:00:00+00:00     933259      14721  \n",
       "2022-07-08 00:00:00+00:00     939300      14721  \n",
       "2022-07-10 00:00:00+00:00     944993      14721  \n",
       "\n",
       "[900 rows x 6 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_centroamerica.columns = ['Panamá','Costa Rica','Honduras','El Salvador','Guatemala','Nicaragua']\n",
    "df_centroamerica"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "905a45c0",
   "metadata": {},
   "source": [
    "# Gráfica comparativa final \n",
    "\n",
    "Finalmente podremos plotear una gráfica comparativa con los datos de todos los países centroamericanos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "011cffd0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Comparativa de los casos de Covid19 en países Centroamericanos desde 20/01/2020 hasta 9/07/2022'}, xlabel='Date'>"
      ]
     },
     "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_centroamerica.plot(title=\"Comparativa de los casos de Covid19 en países Centroamericanos desde 20/01/2020 hasta 9/07/2022\")"
   ]
  }
 ],
 "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
}