ad4.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c3541ab3",
   "metadata": {},
   "source": [
    "# AD4: conexión API del COVID19 y análisis con Pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a816f56",
   "metadata": {},
   "source": [
    "Me conecto a la API https://api.covid19api.com/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3fc22691",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pandas in c:\\users\\ania alonzo\\anaconda3\\lib\\site-packages (1.4.2)\n",
      "Requirement already satisfied: python-dateutil>=2.8.1 in c:\\users\\ania alonzo\\anaconda3\\lib\\site-packages (from pandas) (2.8.2)\n",
      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\ania alonzo\\anaconda3\\lib\\site-packages (from pandas) (2021.3)\n",
      "Requirement already satisfied: numpy>=1.18.5 in c:\\users\\ania alonzo\\anaconda3\\lib\\site-packages (from pandas) (1.21.5)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\ania alonzo\\anaconda3\\lib\\site-packages (from python-dateutil>=2.8.1->pandas) (1.16.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install pandas "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4817c68f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: numpi in c:\\users\\ania alonzo\\anaconda3\\lib\\site-packages (0.3.0)\n",
      "Requirement already satisfied: numpy>=1.15.0 in c:\\users\\ania alonzo\\anaconda3\\lib\\site-packages (from numpi) (1.21.5)\n",
      "Requirement already satisfied: scipy>=1.1.0 in c:\\users\\ania alonzo\\anaconda3\\lib\\site-packages (from numpi) (1.7.3)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install numpi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f8d24ac8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0cf9f8d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://api.covid19api.com/countries'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f9046353",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://api.covid19api.com/countries'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3f57ce52",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_json(url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6c0970d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Slug</th>\n",
       "      <th>ISO2</th>\n",
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       "  <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": "code",
   "execution_count": 8,
   "id": "70d93219",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <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": "code",
   "execution_count": 9,
   "id": "d80a19ef",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>Province</th>\n",
       "      <th>City</th>\n",
       "      <th>CityCode</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
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       "      <th>Date</th>\n",
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       "      <td>Spain</td>\n",
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       "      <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",
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       "      <td></td>\n",
       "      <td>40.46</td>\n",
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       "      <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",
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       "    <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": "code",
   "execution_count": 11,
   "id": "7a1e9782",
   "metadata": {},
   "outputs": [
    {
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       "      <th>CountryCode</th>\n",
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       "      <th>1</th>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
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       "      <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",
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       "      <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",
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      ],
      "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": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rt_es.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "91656169",
   "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": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rt_es.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "66c6cf45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid19 en España 20/1/2020 hasta 29/6/2022'}, xlabel='Date'>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "casos_es = df_rt_es.set_index('Date')['Cases']\n",
    "casos_es.plot(title='Casos de Covid19 en España 20/1/2020 hasta 29/6/2022')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e59e20e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Slug</th>\n",
       "      <th>ISO2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>costa-rica</td>\n",
       "      <td>CR</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Country        Slug ISO2\n",
       "242  Costa Rica  costa-rica   CR"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Country'] == 'Costa Rica']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5a09b47b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>Province</th>\n",
       "      <th>City</th>\n",
       "      <th>CityCode</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Status</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-22 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-23 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-24 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-25 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-26 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>895</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>904934</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-05 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>904934</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-06 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>904934</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-07 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>904934</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-08 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>904934</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-09 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Country CountryCode Province City CityCode   Lat    Lon   Cases  \\\n",
       "0    Costa Rica          CR                         9.75 -83.75       0   \n",
       "1    Costa Rica          CR                         9.75 -83.75       0   \n",
       "2    Costa Rica          CR                         9.75 -83.75       0   \n",
       "3    Costa Rica          CR                         9.75 -83.75       0   \n",
       "4    Costa Rica          CR                         9.75 -83.75       0   \n",
       "..          ...         ...      ...  ...      ...   ...    ...     ...   \n",
       "895  Costa Rica          CR                         9.75 -83.75  904934   \n",
       "896  Costa Rica          CR                         9.75 -83.75  904934   \n",
       "897  Costa Rica          CR                         9.75 -83.75  904934   \n",
       "898  Costa Rica          CR                         9.75 -83.75  904934   \n",
       "899  Costa Rica          CR                         9.75 -83.75  904934   \n",
       "\n",
       "        Status                      Date  \n",
       "0    confirmed 2020-01-22 00:00:00+00:00  \n",
       "1    confirmed 2020-01-23 00:00:00+00:00  \n",
       "2    confirmed 2020-01-24 00:00:00+00:00  \n",
       "3    confirmed 2020-01-25 00:00:00+00:00  \n",
       "4    confirmed 2020-01-26 00:00:00+00:00  \n",
       "..         ...                       ...  \n",
       "895  confirmed 2022-07-05 00:00:00+00:00  \n",
       "896  confirmed 2022-07-06 00:00:00+00:00  \n",
       "897  confirmed 2022-07-07 00:00:00+00:00  \n",
       "898  confirmed 2022-07-08 00:00:00+00:00  \n",
       "899  confirmed 2022-07-09 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 21,
     "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": 22,
   "id": "a834d6d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>Country</th>\n",
       "      <th>CountryCode</th>\n",
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       "      <th>City</th>\n",
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       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
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       "      <td></td>\n",
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       "      <td>9.75</td>\n",
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       "    <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",
       "  </tbody>\n",
       "</table>\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",
       "      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  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rt_cr.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2a159228",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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",
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       "    <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",
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       "      <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",
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       "      <td>2022-07-06 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>904934</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-07 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>904934</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-08 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9.75</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>904934</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-09 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Country CountryCode Province City CityCode   Lat    Lon   Cases  \\\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",
       "895  confirmed 2022-07-05 00:00:00+00:00  \n",
       "896  confirmed 2022-07-06 00:00:00+00:00  \n",
       "897  confirmed 2022-07-07 00:00:00+00:00  \n",
       "898  confirmed 2022-07-08 00:00:00+00:00  \n",
       "899  confirmed 2022-07-09 00:00:00+00:00  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rt_cr.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "06b67096",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid19 en Costa Rica 20/1/2020 hasta 29/6/2022'}, xlabel='Date'>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "casos_cr = df_rt_cr.set_index('Date')['Cases']\n",
    "casos_cr.plot(title='Casos de Covid19 en Costa Rica 20/1/2020 hasta 29/6/2022')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f2e392e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Slug</th>\n",
       "      <th>ISO2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>honduras</td>\n",
       "      <td>HN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Country      Slug ISO2\n",
       "91  Honduras  honduras   HN"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Country'] == 'Honduras']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "70eab9ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>Province</th>\n",
       "      <th>City</th>\n",
       "      <th>CityCode</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Status</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-22 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-23 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-24 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-25 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-26 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>895</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>427718</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-05 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>427718</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-06 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>427718</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-07 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>429408</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-08 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15.2</td>\n",
       "      <td>-86.24</td>\n",
       "      <td>429408</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-09 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Country CountryCode Province City CityCode   Lat    Lon   Cases  \\\n",
       "0    Honduras          HN                         15.2 -86.24       0   \n",
       "1    Honduras          HN                         15.2 -86.24       0   \n",
       "2    Honduras          HN                         15.2 -86.24       0   \n",
       "3    Honduras          HN                         15.2 -86.24       0   \n",
       "4    Honduras          HN                         15.2 -86.24       0   \n",
       "..        ...         ...      ...  ...      ...   ...    ...     ...   \n",
       "895  Honduras          HN                         15.2 -86.24  427718   \n",
       "896  Honduras          HN                         15.2 -86.24  427718   \n",
       "897  Honduras          HN                         15.2 -86.24  427718   \n",
       "898  Honduras          HN                         15.2 -86.24  429408   \n",
       "899  Honduras          HN                         15.2 -86.24  429408   \n",
       "\n",
       "        Status                      Date  \n",
       "0    confirmed 2020-01-22 00:00:00+00:00  \n",
       "1    confirmed 2020-01-23 00:00:00+00:00  \n",
       "2    confirmed 2020-01-24 00:00:00+00:00  \n",
       "3    confirmed 2020-01-25 00:00:00+00:00  \n",
       "4    confirmed 2020-01-26 00:00:00+00:00  \n",
       "..         ...                       ...  \n",
       "895  confirmed 2022-07-05 00:00:00+00:00  \n",
       "896  confirmed 2022-07-06 00:00:00+00:00  \n",
       "897  confirmed 2022-07-07 00:00:00+00:00  \n",
       "898  confirmed 2022-07-08 00:00:00+00:00  \n",
       "899  confirmed 2022-07-09 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 26,
     "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": 63,
   "id": "969b7ff4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid19 en Honduras 20/1/2020 hasta 29/6/2022'}, xlabel='Date'>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "casos_hn = df_rt_hnd.set_index('Date')['Cases']\n",
    "casos_hn.plot(title='Casos de Covid19 en Honduras 20/1/2020 hasta 29/6/2022')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "243d808e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Slug</th>\n",
       "      <th>ISO2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>guatemala</td>\n",
       "      <td>GT</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Country       Slug ISO2\n",
       "239  Guatemala  guatemala   GT"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Country'] == 'Guatemala']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "051ddbd0",
   "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>939300</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-09 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Country CountryCode Province City CityCode    Lat    Lon   Cases  \\\n",
       "0    Guatemala          GT                         15.78 -90.23       0   \n",
       "1    Guatemala          GT                         15.78 -90.23       0   \n",
       "2    Guatemala          GT                         15.78 -90.23       0   \n",
       "3    Guatemala          GT                         15.78 -90.23       0   \n",
       "4    Guatemala          GT                         15.78 -90.23       0   \n",
       "..         ...         ...      ...  ...      ...    ...    ...     ...   \n",
       "895  Guatemala          GT                         15.78 -90.23  922340   \n",
       "896  Guatemala          GT                         15.78 -90.23  927473   \n",
       "897  Guatemala          GT                         15.78 -90.23  933259   \n",
       "898  Guatemala          GT                         15.78 -90.23  939300   \n",
       "899  Guatemala          GT                         15.78 -90.23  939300   \n",
       "\n",
       "        Status                      Date  \n",
       "0    confirmed 2020-01-22 00:00:00+00:00  \n",
       "1    confirmed 2020-01-23 00:00:00+00:00  \n",
       "2    confirmed 2020-01-24 00:00:00+00:00  \n",
       "3    confirmed 2020-01-25 00:00:00+00:00  \n",
       "4    confirmed 2020-01-26 00:00:00+00:00  \n",
       "..         ...                       ...  \n",
       "895  confirmed 2022-07-05 00:00:00+00:00  \n",
       "896  confirmed 2022-07-06 00:00:00+00:00  \n",
       "897  confirmed 2022-07-07 00:00:00+00:00  \n",
       "898  confirmed 2022-07-08 00:00:00+00:00  \n",
       "899  confirmed 2022-07-09 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_rt_guat = 'https://api.covid19api.com/country/guatemala/status/confirmed/live'\n",
    "df_rt_guat = pd.read_json(url_rt_guat)\n",
    "df_rt_guat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "bd209a7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid19 en Guatemala 20/1/2020 hasta 29/6/2022'}, xlabel='Date'>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "casos_guat = df_rt_guat.set_index('Date')['Cases']\n",
    "casos_guat.plot(title='Casos de Covid19 en Guatemala 20/1/2020 hasta 29/6/2022')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "d4f70c01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Slug</th>\n",
       "      <th>ISO2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>el-salvador</td>\n",
       "      <td>SV</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country         Slug ISO2\n",
       "139  El Salvador  el-salvador   SV"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Country'] == 'El Salvador']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "02398312",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>Province</th>\n",
       "      <th>City</th>\n",
       "      <th>CityCode</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Status</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-22 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-23 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-24 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-25 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-26 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>895</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>169646</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-05 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>169646</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-06 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>169646</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-07 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>180970</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-08 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>SV</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13.79</td>\n",
       "      <td>-88.9</td>\n",
       "      <td>169646</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-09 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country CountryCode Province City CityCode    Lat   Lon   Cases  \\\n",
       "0    El Salvador          SV                         13.79 -88.9       0   \n",
       "1    El Salvador          SV                         13.79 -88.9       0   \n",
       "2    El Salvador          SV                         13.79 -88.9       0   \n",
       "3    El Salvador          SV                         13.79 -88.9       0   \n",
       "4    El Salvador          SV                         13.79 -88.9       0   \n",
       "..           ...         ...      ...  ...      ...    ...   ...     ...   \n",
       "895  El Salvador          SV                         13.79 -88.9  169646   \n",
       "896  El Salvador          SV                         13.79 -88.9  169646   \n",
       "897  El Salvador          SV                         13.79 -88.9  169646   \n",
       "898  El Salvador          SV                         13.79 -88.9  180970   \n",
       "899  El Salvador          SV                         13.79 -88.9  169646   \n",
       "\n",
       "        Status                      Date  \n",
       "0    confirmed 2020-01-22 00:00:00+00:00  \n",
       "1    confirmed 2020-01-23 00:00:00+00:00  \n",
       "2    confirmed 2020-01-24 00:00:00+00:00  \n",
       "3    confirmed 2020-01-25 00:00:00+00:00  \n",
       "4    confirmed 2020-01-26 00:00:00+00:00  \n",
       "..         ...                       ...  \n",
       "895  confirmed 2022-07-05 00:00:00+00:00  \n",
       "896  confirmed 2022-07-06 00:00:00+00:00  \n",
       "897  confirmed 2022-07-07 00:00:00+00:00  \n",
       "898  confirmed 2022-07-08 00:00:00+00:00  \n",
       "899  confirmed 2022-07-09 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_rt_elsalv = 'https://api.covid19api.com/country/el-salvador/status/confirmed/live'\n",
    "df_rt_elsalv = pd.read_json(url_rt_elsalv)\n",
    "df_rt_elsalv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "dba67e6f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid19 en El Salvador 20/1/2020 hasta 29/6/2022'}, xlabel='Date'>"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "casos_elsalv = df_rt_elsalv.set_index('Date')['Cases']\n",
    "casos_elsalv.plot(title='Casos de Covid19 en El Salvador 20/1/2020 hasta 29/6/2022')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "b14bc5ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Slug</th>\n",
       "      <th>ISO2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>nicaragua</td>\n",
       "      <td>NI</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Country       Slug ISO2\n",
       "36  Nicaragua  nicaragua   NI"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Country'] == 'Nicaragua']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "0672972d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>Province</th>\n",
       "      <th>City</th>\n",
       "      <th>CityCode</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Status</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-22 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-23 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-24 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-25 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-26 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>895</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>14690</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-05 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>14721</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-06 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>14721</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-07 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>14721</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-08 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12.87</td>\n",
       "      <td>-85.21</td>\n",
       "      <td>14721</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-09 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Country CountryCode Province City CityCode    Lat    Lon  Cases  \\\n",
       "0    Nicaragua          NI                         12.87 -85.21      0   \n",
       "1    Nicaragua          NI                         12.87 -85.21      0   \n",
       "2    Nicaragua          NI                         12.87 -85.21      0   \n",
       "3    Nicaragua          NI                         12.87 -85.21      0   \n",
       "4    Nicaragua          NI                         12.87 -85.21      0   \n",
       "..         ...         ...      ...  ...      ...    ...    ...    ...   \n",
       "895  Nicaragua          NI                         12.87 -85.21  14690   \n",
       "896  Nicaragua          NI                         12.87 -85.21  14721   \n",
       "897  Nicaragua          NI                         12.87 -85.21  14721   \n",
       "898  Nicaragua          NI                         12.87 -85.21  14721   \n",
       "899  Nicaragua          NI                         12.87 -85.21  14721   \n",
       "\n",
       "        Status                      Date  \n",
       "0    confirmed 2020-01-22 00:00:00+00:00  \n",
       "1    confirmed 2020-01-23 00:00:00+00:00  \n",
       "2    confirmed 2020-01-24 00:00:00+00:00  \n",
       "3    confirmed 2020-01-25 00:00:00+00:00  \n",
       "4    confirmed 2020-01-26 00:00:00+00:00  \n",
       "..         ...                       ...  \n",
       "895  confirmed 2022-07-05 00:00:00+00:00  \n",
       "896  confirmed 2022-07-06 00:00:00+00:00  \n",
       "897  confirmed 2022-07-07 00:00:00+00:00  \n",
       "898  confirmed 2022-07-08 00:00:00+00:00  \n",
       "899  confirmed 2022-07-09 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_rt_ni = 'https://api.covid19api.com/country/nicaragua/status/confirmed/live'\n",
    "df_rt_ni = pd.read_json(url_rt_ni)\n",
    "df_rt_ni"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "5615049d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid19 en Nicaragua 20/1/2020 hasta 29/6/2022'}, xlabel='Date'>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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v7OY33jl3hCT9FlhnZjd2OHMvkfQXogTS4RiIpNFEX3Jjzb8IepykNUTjFms6Me9sovexN68NO2JJ0YXlXF8QukqPDl1l84muP/ljgsNq6Smio8nOyCM6SvXk0cNCl9ndnUkeMZLmwKQt3gJxrpMkvZvoyunhRGfWfMvMfpnYqJxLHE8gzjnn4uJdWM455+LiCcQ551xckukOpEdkxIgRNmnSpESH4ZxzfcoLL7xQYmYjO56zY302gUyaNImVK1cmOgznnOtTJLV266O4eBeWc865uHgCcc45FxdPIM455+LiCcQ551xcPIE455yLiycQ55xzcemzp/E655zrvOq6Rsqq67t1nZ5AnHOun3pq/W7uXf4WTWY8+0YJNfUtf+OrazyBOOdcH2VmbN6zn7qGJv740jZe3rLvkOnrdlbQ2GSMy8/mlAlDOXf6aK78dvdt3xOIc871AdV1jby8dR+NTcYT63ZTXFHLG8WVrN5efmCe0bmZTBg26MDzKaNyuObsKZx1zME7l1zZjTF5AnHOuSSxt6qOhiZjzY5yNhVXUl3fxD82lFBV18BrOyuoqms8MO+4/Gwy0lL4UNF4zjp2JIMz0zh9yghSU9Rr8XoCcc65Xvbmniqefr0EM2PF5r3sraqjpLKWdTsrDps3f1A6x4/LY/bkYbxz2miOHjmYkTmZTB09JAGRH8oTiHPO9YDahkbM4PE1u3h1exl7q+p4dPUu9tc1UN948If80lPFjLF5DM5M44p3TOKokTlkp6dy+pQRZKalkJOVRnpqcl5x4QnEOee6gZnxf68Vs3VvNSs2lfKnVduJ/cHXzLQUpozK4cxjRpKeIs6dPobReZnkZKYxKKNvfhV3GLWkXwAXAbvNbGaLaV8AvguMNLOSUHYDcBXQCHzGzB4N5bOAu4Bs4C/AZ83MJGUCdwOzgD3Ah8xsc7e8Ouec62EPvrCVP6/aTnFlLa9uOzigfeL4fObPGENudhrvP6WQrPTUBEbZMzqT9u4CbiP6kj9A0njgXOCtmLLpwCXADGAs8DdJx5hZI3A7sAhYTpRA5gOPECWbvWY2RdIlwLeBD3XtZTnnXM9Zt7Oc/3fvi9Q2NLG7ooZhgzMYnZvFhccX8OULp5GeKkbmZCL13oB2InSYQMzs75ImtTLph8AXgYdiyhYA95tZLbBJ0gZgtqTNQK6ZPQcg6W5gIVECWQDcFJZ/ALhNksxiG3/OOZdYZsYn7l7JK9vK2F/bSEOTccHxBaSliE/NPZrJIwYnOsReF1fHm6T3ANvM7OUWGXYcUQuj2dZQVh8etyxvXmYLgJk1SCoDhgMlrWx3EVErhgkTJsQTunPOHZGHV+3ge4+tp6GpiS2l1ZwxdQTj8rOZc9RwFp48ruMV9GNHnEAkDQK+AryrtcmtlFk75e0tc3ih2WJgMUBRUZG3UJxzPWJ/XQOfue9flFbVsamkioy0FE47ajhnTh3Jly+YxuDMvjno3d3i2QtHA5OB5tZHIfCipNlELYvxMfMWAttDeWEr5cQss1VSGpAHlMYRl3POdcnDq3awbO0uiitrefr1Et42aSgzx+Vx2WmTOHf66ESHl3SOOIGY2SvAqObnYXyjyMxKJC0FfiPpB0SD6FOBFWbWKKlC0hzgeeAy4MdhFUuBy4HngA8AT/j4h3Oup1XWNlBSUcumPVXc9Y/NVNc18ur2MtJSRN6gdM6YOoK7rpjdq1d29zWdOY33PmAuMELSVuBGM7uztXnNbLWkJcAaoAG4JpyBBXA1B0/jfST8AdwJ3BMG3EuJzuJyzrlu99wbe7hn+WYaGqNrNmobDt6dds5Rw5g1cShfvmAa0wpyExhl36G+erBfVFRkK1euTHQYzrkkUFXbQGlVHcWVtTy2ehd1DU2s31XO+p2Vh8xXUlkLwDGjc8jPzuCiEwsYkpVG0cRhjI+5CWF/JukFMyvqjnX5SJBzrk9paGyi0YxVW8v43cot1DU08dfVOw/5rYshmWlkpKUw5+jh5GWnHygXcHHReE4an9/7gfdDnkCcc0lvY3El63ZWsHlPFXc89QblNQ0Hpo3Ny+LokTm8/5RCcrPTmTVx6IC8JiMRPIE455JSWXU9S1/aRkOT8b//t5Gd5TUAZKWn8Jl5UxmUkcrCk8YxJi8rwZEOXJ5AnHNJZWNxJbsrannope3ct+LAnZL43sUncvy4PArys8jNSm9nDa63eAJxziWFxiajrLqe+T96mrpwdtSco4Zxx8dmkZaaQo5fvJd0/B1xziXc9x9bz4+f2HDg+bfffzzjhw3iuDG55A/KSGBkrj2eQJxzCVFV28Atj6yjqq6Bp9YXM60gl/NnjmF4TgYfLBrf7+9k2x94AnHOJcSzb+zhnuVvMiY3i5zMND53zlTeNWNMosNyR8ATiHOuV+3bX8eW0mqWb9wDwKPXnkneIB8U74s8gTjnetVlv1jBqq1lAIzJzfLk0Yd5AnHO9aq3Svcz77hRfHj2BCaP9Av++jJPIM65XlPf2MS+/fWcUJjPOX579D4vJdEBOOcGjtKqOgBGDPFTc/sDb4E453rck+t387nfvnTgAsHhgzMTHJHrDp5AnHM97l9v7WPf/nqufMdksjNSOH3qiESH5LqBJxDnXI8r219HXnY6//Xu6YkOxXUjHwNxzvW4vfvryffTdfsdTyDOuR63d3+d39OqH+owgUj6haTdkl6NKfuupHWSVkn6g6T8mGk3SNogab2k82LKZ0l6JUy7VeFGN5IyJf02lD8vaVL3vkTnXCI0NhmX/WIF877/FCs2lZKf7S2Q/qYzLZC7gPktyh4HZprZCcBrwA0AkqYDlwAzwjI/lZQalrkdWARMDX/N67wK2GtmU4AfAt+O98U455LHnspa/v5aMYMz0zhn+mguf/vERIfkulmHg+hm9veWrQIzeyzm6XLgA+HxAuB+M6sFNknaAMyWtBnINbPnACTdDSwEHgnL3BSWfwC4TZLMzOJ8Tc65JFBeUw/Av51xFO85cWyCo3E9oTvGQK4kSgQA44AtMdO2hrJx4XHL8kOWMbMGoAwY3tqGJC2StFLSyuLi4m4I3TnXU8qqowSS511X/VaXEoikrwANwK+bi1qZzdopb2+ZwwvNFptZkZkVjRw58kjDdc71ovLqBgBys/xqgf4q7gQi6XLgIuCjMd1NW4HxMbMVAttDeWEr5YcsIykNyANK443LOZdYZtFP0+4qrwG8BdKfxXVoIGk+8CXgLDPbHzNpKfAbST8AxhINlq8ws0ZJFZLmAM8DlwE/jlnmcuA5orGUJ3z8w7m+6+aH1/LzZzYdeD7UT9/ttzpMIJLuA+YCIyRtBW4kOusqE3g8nI273Mw+ZWarJS0B1hB1bV1jZo1hVVcTndGVTTRm0jxucidwTxhwLyU6i8s510e9vruScfnZXHn6ZAryshg62BNIf9WZs7A+3Erxne3MfzNwcyvlK4GZrZTXABd3FIdzrm+oqKln0ohBXHX65ESH4nqYX4nunOtW5TUN5Gb5uMdA4AnEOdetKmrqGeJnXg0InkCcc92qoqaBId4CGRD8MME512U7y2r499+8yP66RvbXNXoLZIDwFohzrste3VbGyjf3MiQrjfkzxnDejDGJDsn1Aj9McM51WWVtdNX5t953PEeNzElwNK63eAvEOddlFSGB5HjX1YDiCcQ512VVIYEMyfTB84HEE4hzrssqaxpIEWSl+1fKQOLvtnOuyyprG8jJTCPc2sgNEN5h6ZyL25ceWMUzG0qi3zz3u+4OOJ5AnHNx+9vaXeQPSueC4wuYPXlYosNxvcwTiHMubhW1DXygqJAbzp+W6FBcAvgYiHMuLnUNTdQ1NDEk049DBypPIM65uDSfupvjCWTA8gTinItL5YGLB33wfKDyBOKcO2JmRnlNPQA5makJjsYlSocJRNIvJO2W9GpM2TBJj0t6PfwfGjPtBkkbJK2XdF5M+SxJr4RptyqcMC4pU9JvQ/nzkiZ182t0znWjP728naO//BcuvPUZAP/xqAGsMy2Qu4D5LcquB5aZ2VRgWXiOpOlEv2k+IyzzU0nNhye3A4uAqeGveZ1XAXvNbArwQ+Db8b4Y51zPW7OjHElce85UvnLBNGZNGtrxQq5f6jCBmNnfgdIWxQuAX4XHvwIWxpTfb2a1ZrYJ2ADMllQA5JrZc2ZmwN0tlmle1wPAPPnlrM4lraraBoZkpXHtOcfwiTOPIjPNu7AGqnjHQEab2Q6A8H9UKB8HbImZb2soGxcetyw/ZBkzawDKgOFxxuWc62GVNQ1+5pUDun8QvbWWg7VT3t4yh69cWiRppaSVxcXFcYbonOuKilpPIC4SbwLZFbqlCP93h/KtwPiY+QqB7aG8sJXyQ5aRlAbkcXiXGQBmttjMisysaOTIkXGG7pzrisqaBv/JWgfEn0CWApeHx5cDD8WUXxLOrJpMNFi+InRzVUiaE8Y3LmuxTPO6PgA8EcZJnHNJpLymnu37qtm7v85bIA7oxL2wJN0HzAVGSNoK3AjcAiyRdBXwFnAxgJmtlrQEWAM0ANeYWWNY1dVEZ3RlA4+EP4A7gXskbSBqeVzSLa/MOddtKmsbOPXmZVTXRx/n6QW5CY7IJYMOE4iZfbiNSfPamP9m4OZWylcCM1spryEkIOdcciquqKW6vpEPzx7PSePzOX2qdyE7vxuvc64Tyqujq87PmTaaedNGJzgalyz8VibOuQ4137Yk1380ysXwBOKc61B5dXTjRL9tiYvlXVjOuTY1NRml++vYUVYN4KfvukN4bXDOtekrf3yV+1a8BYAEed6F5WJ4AnHOtemN3ZUcNWIwV7xjEuOGZjPYr/9wMbw2OOfaVFZdz5RROVx62qREh+KSkA+iO+faVFZd791Wrk2eQJxzbfIE4trjXVjOuUPsr2vgV8++SXV9I9X1jZ5AXJs8gTjnDvH314r59l/XAZCWIqaP9fteudZ5AnHOHWJPVR0Ay2+Yx5i8rARH45KZj4E45w6xb39025L8Qd515drnCcQ5d4i9VXVkp6eSle6/de7a511YzjkA/vrqDl7dVs6zb+xhqLc+XCd4AnHOAfDFB1ZRXtNAaoo4f+aYRIfj+gBPIM45auobKa9p4D/OO5Zrzp6S6HBcH+FjIM45SiprARiZk5ngSFxf0qUEIulzklZLelXSfZKyJA2T9Lik18P/oTHz3yBpg6T1ks6LKZ8l6ZUw7VZJ6kpczrnO2VVew8+f3sgv/7EZgBFDMhIbkOtT4k4gksYBnwGKzGwmkApcAlwPLDOzqcCy8BxJ08P0GcB84KeSmk/zuB1YBEwNf/Pjjcs513l3PbuZbzy8ljuf2URGWgpTRg5JdEiuD+nqGEgakC2pHhgEbAduAOaG6b8CngK+BCwA7jezWmCTpA3AbEmbgVwzew5A0t3AQuCRLsbmnOvArrIaxuZl8dh1Z5GeKjLT/NRd13lxt0DMbBvwPeAtYAdQZmaPAaPNbEeYZwcwKiwyDtgSs4qtoWxceNyy3DnXw4oraxmZm0VOZponD3fE4m6BhLGNBcBkYB/wO0kfa2+RVsqsnfLWtrmIqKuLCRMmHEm4zrkYT6zbRUllHRuLq5hW4N1WLj5d6cI6B9hkZsUAkn4PvB3YJanAzHZIKgB2h/m3AuNjli8k6vLaGh63LD+MmS0GFgMUFRW1mmScc+3bUrqfK+9aeeD5RScWJDAa15d1JYG8BcyRNAioBuYBK4Eq4HLglvD/oTD/UuA3kn4AjCUaLF9hZo2SKiTNAZ4HLgN+3IW4nHPt2FleA8APP3Qib5s0jLF52QmOyPVVcScQM3te0gPAi0AD8C+i1kEOsETSVURJ5uIw/2pJS4A1Yf5rzKwxrO5q4C4gm2jw3AfQneshxRXRNR/HjcmlcOigBEfj+rIunYVlZjcCN7YoriVqjbQ2/83Aza2UrwRmdiUW51z7NpVU8c/NpSzfuAeAkUP8okHXNX4rE+cGiP/846s8s6EEgGGDMxg6yC8adF3jCcS5AWL7vmrmHTeK/14wg/xBGaSm+A0fXNf4vbCcGyB2ldcwYfggCocOIifTjx1d13ktcq4fK66o5QePr6e6rpGqukZG5/pP1Lru4wnEuX7syXW7uW/FFsblZ3PUyMGcOnlYokNy/YgnEOf6sV3hmo8nvnCW36rEdTtPIM71Q01NRqMZ28tqGDY4w5OH6xGeQJzrhy788TOs3VEOwLSC3ARH4/orTyDO9TOVtQ2s3VHO2ceOZNbEoZx61PBEh+T6KU8gzvUz2/ZWA/DeUwp5z4ljExyN6888gTjXT9yz/E3+84+vHnheONRvkuh6licQ5/qJ5zfuYfjgDD42ZyK52emcWJif6JBcP+cJxLk+rmx/PVV1DWwqqWJaQS6fO/eYRIfkBghPIM71YTvKqjnj20/S0BT9vtrH5vgvdbre4wnEuT5s3Y4KGpqMT79zCuOHDmLusSMTHZIbQDyBONcHrd9ZwQtv7uWfm0sBuPS0iYwa4ve5cr3LE4hzfdB/PPAyq7aWAVCQl8XIHP9xKNf7PIE410c0NDbxwpt7qWtsYt3OCj42ZwKffudUcrPSkfy3PVzv69LvgUjKl/SApHWS1ko6TdIwSY9Lej38Hxoz/w2SNkhaL+m8mPJZkl4J026VfxqcO8zSl7fzocXLufTOFdQ1NDF78nBG52aRneH3uXKJ0dUflPoR8FczOw44EVgLXA8sM7OpwLLwHEnTgUuAGcB84KeSmmv+7cAiYGr4m9/FuJzrN8qq69lUUsVzb+whOz2VJZ88jYeueQcXHl+Q6NDcABd3F5akXOBM4OMAZlYH1ElaAMwNs/0KeAr4ErAAuN/MaoFNkjYAsyVtBnLN7Lmw3ruBhcAj8cbmXH/R0NjE2d97itKqOgBOmZDPbP9ND5ckujIGchRQDPxS0onAC8BngdFmtgPAzHZIGhXmHwcsj1l+ayirD49bljs3YO2tqmPF5lJ2lddQWlXHFe+YxImF+Zw4Pj/RoTl3QFcSSBpwCvBpM3te0o8I3VVtaG1cw9opP3wF0iKiri4mTPALplz/9a1H1rJkZXRcJcGV75jM+GGDEhyVc4fqSgLZCmw1s+fD8weIEsguSQWh9VEA7I6Zf3zM8oXA9lBe2Er5YcxsMbAYoKioqNUk41xfVVZdz+d++xKVNQ2s2VHOGVNHcMP508jNTqNwqCcPl3ziHkQ3s53AFknHhqJ5wBpgKXB5KLsceCg8XgpcIilT0mSiwfIVoburQtKccPbVZTHLONfvrdlezv0r3uL7j63niXW7aTTjhMI8Pnnm0Uwfm+vJwyWtrl4H8mng15IygI3AFURJaYmkq4C3gIsBzGy1pCVESaYBuMbMGsN6rgbuArKJBs99AN31a7UNjTy/sZTGJuMrf3iF7WXRb5ePy8/md588jZQUP5PdJT+Z9c2eoKKiIlu5cmWiw3DuiKzZXs7O8mqeXFfMPcvfPFD+rfcdz9xjR5KfneHXdbgeJekFMyvqjnX5lejO9bCa+kZefHMv++sa+dS9Lxy4c+7bJg3lKxdOJyM1hWkFQ/xqctfneAJxrhs1NRm1DU1U1NSz+O8bKauu58n1uympjK7jkODnlxUxckgmk0cOJjcrPcEROxc/TyDOdVFJZS2/W7mVuoYmHnppGxtLqg5MG52bSXZGKtedewxzjhrO0EHpTB09JIHROtd9PIE4dwQ2lVSxbO0uahuaeOCFrewur6GqrvHA9EEZqXxszgQKhw7ihHF5vH3KiARG61zP8gTiXBue3VDCv7bsY09lHQ+/sp2q2kYqaxsOTM/JTGPByeMYlJ7KeTPHcMqEoQj8DCo3YHgCcQOemfHgi9vYWVbN5j37WbZ2F/WNdkiymDBsEBceP5b0VLHgpHEUDssmKy2VjLSu3o/Uub7LE4gbUGrqG1n60nYqaxtYtm4X/9iw57B5Zk0cygmFeQzJSufy0yaSk5VGekqKtyyca8ETiOu3dpXX8NBL26hvNB5dvZNNJVVU1BxsVUhw7vTRTCvIZVx+Fu89uRAJ0lO9VeFcZ3gCcf3Cht0VPLW+mMraBv7wr22UVtZREdMFlZ2eyvyZY8gflM6JhfmcfewoUlNFTqZ/BJyLl396XJ+zpXQ/G0uq2La3mqUvb6O6rpGXw++DA+Rlp7Pw5HFkpKVwwfEFzBibS2qKvGXhXDfzBOKS2vZ91ZRW1fHSln38edV26huNF97ce2B6RloKpx01nPNmjOZTZx3NlFE5ZKWnerJwrhd4AnFJY+ve/dTUN/F/rxXz4pt7Kauu55kNJQemD85I5fjCPObPGMPFRYXkD8pgyqgc8rL9am7nEsETiEsYM+Pe5W+ybmcFG3ZX8vym0gPTBmekUpCfzVnHjOSDRePJTEvhtKOHM9jHLJxLGv5pdL3CzHh+UymVNQ08tmYnD720ndqGJiA6G2r44AzOnT6ai04oIDs9lbnHjvJrLJxLcp5AXI/686rtPPfGHjbvqTrkmovjxgzh7ONGMWpIJh+bM9HHLJzrgzyBuG5jZpjBC2/t5at/eJX6xqYDNxYckZPB8ePy+NqCGWSkpTBtTK5fmOdcH+cJxHVJQ2MT2/fVUN/UxOW/WMHWvdUADB2UztunjODE8fn8x3nHMjY/O8GROue6mycQF5ctpfuprm/k9qfe4A//2nag/Mp3TCYvO53Tpw5n1sRhCYzQOdfTupxAJKUCK4FtZnaRpGHAb4FJwGbgg2a2N8x7A3AV0Ah8xsweDeWzOPib6H8BPmt99bd2+7Hahkb2VtWzbmc5H//lPw+UzztuFBccX8CwwRmcfdyoBEbonOtN3dEC+SywFsgNz68HlpnZLZKuD8+/JGk6cAkwAxgL/E3SMWbWCNwOLAKWEyWQ+cAj3RCb6wYNjU0Y8ME7njtwxXd2eirf+cAJpKWIt08Z4ddiODcAdSmBSCoELgRuBq4LxQuAueHxr4CngC+F8vvNrBbYJGkDMFvSZiDXzJ4L67wbWIgnkKSw9OXtfPb+f9HcHvxgUSEnTxjK1FE5FE3yLirnBrKutkD+B/giEPsbnaPNbAeAme2Q1NynMY6ohdFsayirD49blrsEqW9s4rI7V7At3EZkTG4WHz11AplpqXx0zgQGZfjQmXOuCwlE0kXAbjN7QdLczizSSpm1U97aNhcRdXUxYcKEzgXqOm3N9nIeX7OLPVW1PLdxD2dMHcGsiUO58PgCzpk+OtHhOeeSTFcOJd8BvEfSBUAWkCvpXmCXpILQ+igAdof5twLjY5YvBLaH8sJWyg9jZouBxQBFRUU+yN5NyvbXU9vQyE1/Ws2KcDuRETmZ/OSjp5Cb5WMbzrnWxZ1AzOwG4AaA0AL5gpl9TNJ3gcuBW8L/h8IiS4HfSPoB0SD6VGCFmTVKqpA0B3geuAz4cbxxuSOzaus+FvzkHwfGOD5xxmRuOH8aEkh+oZ9zrm090Zl9C7BE0lXAW8DFAGa2WtISYA3QAFwTzsACuJqDp/E+gg+g97ilL2/nxTf3sm5nOUB0hXhqCufNGONXiDvnOkV99XKLoqIiW7lyZaLD6JMaGps46WuPU9fYRFa4y+3/XlqU6LCcc71A0gtm1i0feD+dZgD5yys7+PySl2lsMuoam/jRJSex4CQ/4c05Fx9PIAPA+p0VlFTWcv8/t5CZnsIlb5tAdnoq75o+JtGhOef6ME8g/VxJZS0X3Po0jU1RV+V7ThzL9ecfl+ConHP9gSeQfmpPZS2rtpaxZkc5jU3G1xfO5NjRQ5hWMKTjhZ1zrhM8gfRTX/3jqzzy6k4AMtJSeM+JY/1+Vc65buUJpJ9av7OC06eM4AvnHcvwwRmePJxz3c4TSD+ypXQ/1y15idqGJjbvqeL848dw0vj8RIflnOunPIH0A7c8so5/bi6luKKW7fuqOWPqCN553GguOmFsokNzzvVjnkD6gXue28zQwRlMGj6YD71tPNecPSXRITnnBgBPIH1cVW0DVXWNfHreRD511tGJDsc5N4CkJDoA1zXFFbUAjMzJTHAkzrmBxlsgfdST63fz9T+voaYuuh/liCGeQJxzvcsTSB/199eK2VpazfyZYxicmUbRxKGJDsk5N8B4AumjiitqGTc0m1s/fHKiQ3HODVA+BtJHlVTW+riHcy6hvAXSx/z86Y38/sVtvFFcybxpoxIdjnNuAPME0sc8+OI2SqtqOWPqSD70tgmJDsc5N4B5Auljtu3dz8KTx/G1BTMTHYpzboCLewxE0nhJT0paK2m1pM+G8mGSHpf0evg/NGaZGyRtkLRe0nkx5bMkvRKm3SrJf5Q7xlt79nPFL1fwkZ8tp7ymgXH52YkOyTnnujSI3gB83symAXOAayRNB64HlpnZVGBZeE6YdgkwA5gP/FRSaljX7cAiYGr4m9+FuPqdv63dxZPri6mpb+S0o4Yz91gf+3DOJV7cXVhmtgPYER5XSFoLjAMWAHPDbL8CngK+FMrvN7NaYJOkDcBsSZuBXDN7DkDS3cBC4JF4Y+vLtpTuZ+nL2w8pe2LdboYOSufBq9+ON86cc8miW8ZAJE0CTgaeB0aH5IKZ7ZDUfLg8Dlges9jWUFYfHrcsb207i4haKkyY0D8HkO98ZhN3Pbv5sPKLTijw5OGcSypdTiCScoAHgWvNrLydL7nWJlg75YcXmi0GFgMUFRW1Ok9fV1JZy+QRg3n02jMPKU9P9eThnEsuXUogktKJksevzez3oXiXpILQ+igAdofyrcD4mMULge2hvLCV8gFp7/46hg3OICPNr/F0ziW3rpyFJeBOYK2Z/SBm0lLg8vD4cuChmPJLJGVKmkw0WL4idHdVSJoT1nlZzDIDTmlVPUMHZSQ6DOec61BXWiDvAC4FXpH0Uij7MnALsETSVcBbwMUAZrZa0hJgDdEZXNeYWWNY7mrgLiCbaPB8QA2g1zU08bU/r2bf/nre3FPFzLG5iQ7JOec61JWzsJ6h9fELgHltLHMzcHMr5SuBAXtl3Lqd5dy7/C0K8rIoyMvi7OP8NF3nXPLzK9GTwJ6qOgBu+8gpzPLbsjvn+ggfqU0Ce0MCGTbYxz6cc32Ht0ASyMxoMthT6QnEOdf3eAJJoM//7mV+/+I2ADJSU8jN8rfDOdd3+DdWAq3aWsaxo4dw4QkFTB2V41eaO+f6FE8gCbS3qo7zZo7hM/OmJjoU55w7Yj6IniBNTca+6nqG+UWDzrk+yhNIglTUNNDYZOQPSk90KM45FxfvwkqAV7aW8eJbewEYOSQzwdE451x8PIH0ssraBt53+z+obzSGZKYx9xi/6tw51zd5Aullq7bso77R+Nb7jmfecaPI8y4s51wf5WMgvWxjSRUAZx87ilG5WQmOxjnn4ucJpJdV1DQAkJvtjT/nXN/mCaSXVdbWk5oistNTEx2Kc851iSeQXlZR08CQrDS/6tw51+d5AulllSGBOOdcX+ffZL2kpLKW4opadpTVMCTTz7xyzvV9nkB6QVOTMe/7/0dZdT0AZ0wdkeCInHOu65ImgUiaD/wISAV+bma3JDikblNSVUtZdT0fOXUCZ04dwfGF+YkOyTnnuiwpEoikVOAnwLnAVuCfkpaa2ZrERtY9dpbVANG1H+dOH53gaJxzrnskRQIBZgMbzGwjgKT7gQVAmwmkpLKWnz+9EQCzqMwwzMBaKYvmswPz24H/h5ZhzSUHpx+YBjSZ0dRkNDRF5Y1NFpWZ0dQEjQceG3WNTewqr6U8dF0V5PmFg865/iNZEsg4YEvM863AqS1nkrQIWASQMWYK33h4bY8EI4EOPBY6UBZNSEsRqRIpKSJFkJoipFAmQrlITRGjczMZnZvFcQW5TB2d0yPxOudcIiRLAmntogg7rMBsMbAY4ORTZtlTN77rwJd983UVsV/2sZdatCxrXqZ5fmLW4ZxzrmPJkkC2AuNjnhcC29tbIDVF5GX76bDOOZcoyXIh4T+BqZImS8oALgGWJjgm55xz7UiKFoiZNUj6d+BRotN4f2FmqxMclnPOuXYkRQIBMLO/AH9JdBzOOec6J1m6sJxzzvUxnkCcc87FxROIc865uHgCcc45Fxc1396jr5FUAayPKcoDyjq5+JHMOwIo6YH19mQcR7ruvhjHkcaSDPvD60ffjyNZ6uiRzh8bx7FmNuQIttM2M+uTf8DKFs8XH8GyRzLvyp5Yb0/GkSz7oyfj6Mn3xuuHx9GN72HS1Y8j3Tft/fWnLqw/9dC8PRVDPPP31Lo9jvjn7akY4pm/p9btcSRXDPHO3+36chfWSjMr6i/b8TiOXDLEkgwxeBwex5HE0Z0x9eUWyOJ+tp2OeByHS4ZYkiEG8Dha8jgOtbiNx13SZ1sgzjnnEqsvt0Ccc84lkCcQ55xzcfEEEkh6rySTdFwSxFLZwfSnJPXYwJykQkkPSXpd0huSfhRus9/W/NdKGtRDsbS7L3qL149D1u/149AYkqZuQO/WD08gB30YeIbot0g6TVJqz4STGIp+lvH3wB/NbCpwDJAD3NzOYtcCPfIFkUS8fuD1ow0Dtm54AgEk5QDvAK4iVAJJcyX9XdIfJK2RdIeklDCtUtLXJD0PnNZDMc2V9OeY57dJ+nhPbKuFdwI1ZvZLADNrBD4HXClpsKTvSXpF0ipJn5b0GWAs8KSkJ3siIEk5kpZJejFse0EonyRpraSfSVot6TFJ2T2xfbx+NPP60WLbJFndiImhx+uHJ5DIQuCvZvYaUCrplFA+G/g8cDxwNPC+UD4YeNXMTjWzZ3o72B42A3ghtsDMyoG3gH8DJgMnm9kJwK/N7Fainx8+28zO7qGYaoD3mtkpwNnA98ORMMBU4CdmNgPYB7y/B7a/EK8fzbx+HGohA7hueAKJfBi4Pzy+PzwHWGFmG8NR1n3A6aG8EXiwd0PsNQJaO7dbwJnAHWbWAGBmpb0Y0zclrQL+BowDRodpm8zspfD4BWBSD2zf68dBXj8ONaDrRtL8ImGiSBpO1CyfKcmIflLXiH4dseUHpfl5TagYPamBQxN8Vg9vr9lqWhylScoFxgMbaf3Lo6d9FBgJzDKzekmbObg/amPmawS6u4vC68ehvH4ESVw3oJfqh7dA4APA3WY20cwmmdl4YBPREcNsSZND/+WHiAbKesubwHRJmZLygHm9tN1lwCBJl8GBgb7vA3cBjwGfkpQWpg0Ly1QA3XN3z9blAbvDl8PZwMQe3FZLXj8O5fXjoGStG9BL9cMTSNTk/EOLsgeBjwDPAbcArxJVjJbzdbvw4as1sy3AEmAV8GvgXz29bQCLbk3wXuBiSa8DrxH1MX8Z+DlRX/cqSS8T7SOIbo3wSHcPkjbvC6LXXyRpJdHR5rru3E4HvH7E8PpxiKSqG9D79cNvZdIGSXOBL5jZRb283ROBn5nZ7N7cbjJK5n3h9SPxknVfJKpuhG336j7xFkgSkfQpogG3ryY6lkTzfXE43ycH+b44XCL2ibdAnHPOxcVbIC5pSBov6clw8ddqSZ8N5cMkPa7o1hmPSxoays+V9EK4eOwFSe+MWdfNkrYoCW514bquu+qGpEGSHpa0LqznlkS+rr7OWyAuaUgqAArM7EVJQ4jO218IfBwoNbNbJF0PDDWzL0k6GdhlZtslzQQeNbNxYV1ziM5Eed3MchLxelz36a66oeieXKea2ZOK7t+1DPimmT2SkBfWx3kCcUlL0kPAbeFvrpntCF8kT5nZsS3mFVACjDWz2pjySk8g/U931I0w7UdEV4b/rJdC71e8C8slJUmTgJOB54HRZrYDIPwf1coi7wf+1fILwvU/3VU3JOUD7yZqhbg4DPgr0V3yUXSDugeBa82sXAdua9Tm/DOAbwPv6oXwXAJ1V90I10vcB9xqZht7KNx+z1sgLqlISif6gvi1mf0+FO8K3RPNfeG7Y+YvJLpI6zIze6O343W9p5vrxmKi8bH/6fHA+zFPIC5phL7qO4G1ZvaDmElLgcvD48uBh8L8+cDDwA1m9o9eDNX1su6sG5K+QXT7k2t7Nur+zwfRXdKQdDrwNPAK0BSKv0zU170EmEB0q4yLzaxU0leBG4DXY1bzLjPbLek7RLeUGEt0O/Gfm9lNvfJCXLfrrroBZABbiG530jwmcpuZ/bzHX0Q/5AnEOedcXLwLyznnXFw8gTjnnIuLJxDnnHNx8QTinHMuLp5AnHPOxcUTiHOdJKlR0kvhLq4vS7ou/GRpe8tMkvSR9uZxrq/yBOJc51Wb2UlmNgM4F7gAuLGDZSZx8KddnetX/DoQ5zqp5Z19JR0F/BMYAUwE7gEGh8n/bmbPSloOTCP6XexfAbcS/Vb2XCAT+ImZ/W+vvQjnupEnEOc6qbVbw0vaCxwHVABNZlYjaSpwn5kVtfx9bEmLgFFm9g1JmcA/iK6e3tSbr8W57uB343Wua5pvB5sO3CbpJKAROKaN+d8FnCDpA+F5HjCVqIXiXJ/iCcS5OIUurEaiO8DeCOwCTiQaW6xpazHg02b2aK8E6VwP8kF05+IgaSRwB9GN+IyoJbHDzJqAS4HUMGsFMCRm0UeBq8OtyZF0jKTBONcHeQvEuc7LlvQSUXdVA9GgefOtxX8KPCjpYuBJoCqUrwIaJL0M3AX8iOjMrBfDLcqLiX7b27k+xwfRnXPOxcW7sJxzzsXFE4hzzrm4eAJxzjkXF08gzjnn4uIJxDnnXFw8gTjnnIuLJxDnnHNx8QTinHMuLv8fTILP7Fn8a18AAAAASUVORK5CYII=\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 Nicaragua 20/1/2020 hasta 29/6/2022')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "a643482f",
   "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": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Country'] == 'Panama']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "912737ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>Province</th>\n",
       "      <th>City</th>\n",
       "      <th>CityCode</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Status</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-22 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-23 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-24 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-25 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>0</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2020-01-26 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>895</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>925254</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-05 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>925254</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-06 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>925254</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-07 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>932710</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-08 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8.54</td>\n",
       "      <td>-80.78</td>\n",
       "      <td>925254</td>\n",
       "      <td>confirmed</td>\n",
       "      <td>2022-07-09 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Country CountryCode Province City CityCode   Lat    Lon   Cases  \\\n",
       "0    Panama          PA                         8.54 -80.78       0   \n",
       "1    Panama          PA                         8.54 -80.78       0   \n",
       "2    Panama          PA                         8.54 -80.78       0   \n",
       "3    Panama          PA                         8.54 -80.78       0   \n",
       "4    Panama          PA                         8.54 -80.78       0   \n",
       "..      ...         ...      ...  ...      ...   ...    ...     ...   \n",
       "895  Panama          PA                         8.54 -80.78  925254   \n",
       "896  Panama          PA                         8.54 -80.78  925254   \n",
       "897  Panama          PA                         8.54 -80.78  925254   \n",
       "898  Panama          PA                         8.54 -80.78  932710   \n",
       "899  Panama          PA                         8.54 -80.78  925254   \n",
       "\n",
       "        Status                      Date  \n",
       "0    confirmed 2020-01-22 00:00:00+00:00  \n",
       "1    confirmed 2020-01-23 00:00:00+00:00  \n",
       "2    confirmed 2020-01-24 00:00:00+00:00  \n",
       "3    confirmed 2020-01-25 00:00:00+00:00  \n",
       "4    confirmed 2020-01-26 00:00:00+00:00  \n",
       "..         ...                       ...  \n",
       "895  confirmed 2022-07-05 00:00:00+00:00  \n",
       "896  confirmed 2022-07-06 00:00:00+00:00  \n",
       "897  confirmed 2022-07-07 00:00:00+00:00  \n",
       "898  confirmed 2022-07-08 00:00:00+00:00  \n",
       "899  confirmed 2022-07-09 00:00:00+00:00  \n",
       "\n",
       "[900 rows x 10 columns]"
      ]
     },
     "execution_count": 48,
     "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": 67,
   "id": "78888801",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Casos de Covid19 en Panama 20/1/2020 hasta 29/6/2022'}, xlabel='Date'>"
      ]
     },
     "execution_count": 67,
     "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 Covid19 en Panama 20/1/2020 hasta 29/6/2022')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "c3f7d837",
   "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",
       "      <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",
       "      <td>0</td>\n",
       "      <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",
       "      <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>904934</td>\n",
       "      <td>427718</td>\n",
       "      <td>922340</td>\n",
       "      <td>169646</td>\n",
       "      <td>14690</td>\n",
       "      <td>925254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-06 00:00:00+00:00</th>\n",
       "      <td>904934</td>\n",
       "      <td>427718</td>\n",
       "      <td>927473</td>\n",
       "      <td>169646</td>\n",
       "      <td>14721</td>\n",
       "      <td>925254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-07 00:00:00+00:00</th>\n",
       "      <td>904934</td>\n",
       "      <td>427718</td>\n",
       "      <td>933259</td>\n",
       "      <td>169646</td>\n",
       "      <td>14721</td>\n",
       "      <td>925254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-08 00:00:00+00:00</th>\n",
       "      <td>904934</td>\n",
       "      <td>429408</td>\n",
       "      <td>939300</td>\n",
       "      <td>180970</td>\n",
       "      <td>14721</td>\n",
       "      <td>932710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-09 00:00:00+00:00</th>\n",
       "      <td>904934</td>\n",
       "      <td>429408</td>\n",
       "      <td>939300</td>\n",
       "      <td>169646</td>\n",
       "      <td>14721</td>\n",
       "      <td>925254</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  904934  427718  922340  169646  14690  925254\n",
       "2022-07-06 00:00:00+00:00  904934  427718  927473  169646  14721  925254\n",
       "2022-07-07 00:00:00+00:00  904934  427718  933259  169646  14721  925254\n",
       "2022-07-08 00:00:00+00:00  904934  429408  939300  180970  14721  932710\n",
       "2022-07-09 00:00:00+00:00  904934  429408  939300  169646  14721  925254\n",
       "\n",
       "[900 rows x 6 columns]"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ca = pd.concat([casos_cr,casos_hn,casos_guat,casos_elsalv,casos_ni,casos_pa],axis=1)\n",
    "df_ca"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "f8c3512e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Panama</th>\n",
       "      <th>Costa Rica</th>\n",
       "      <th>Honduras</th>\n",
       "      <th>Nicaragua</th>\n",
       "      <th>El Salvador</th>\n",
       "      <th>Guatemala</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",
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       "      <th>2020-01-22 00:00:00+00:00</th>\n",
       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-23 00:00:00+00:00</th>\n",
       "      <td>0</td>\n",
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       "    <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",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-25 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>2020-01-26 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>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2022-07-05 00:00:00+00:00</th>\n",
       "      <td>904934</td>\n",
       "      <td>427718</td>\n",
       "      <td>922340</td>\n",
       "      <td>169646</td>\n",
       "      <td>14690</td>\n",
       "      <td>925254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-06 00:00:00+00:00</th>\n",
       "      <td>904934</td>\n",
       "      <td>427718</td>\n",
       "      <td>927473</td>\n",
       "      <td>169646</td>\n",
       "      <td>14721</td>\n",
       "      <td>925254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-07 00:00:00+00:00</th>\n",
       "      <td>904934</td>\n",
       "      <td>427718</td>\n",
       "      <td>933259</td>\n",
       "      <td>169646</td>\n",
       "      <td>14721</td>\n",
       "      <td>925254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-08 00:00:00+00:00</th>\n",
       "      <td>904934</td>\n",
       "      <td>429408</td>\n",
       "      <td>939300</td>\n",
       "      <td>180970</td>\n",
       "      <td>14721</td>\n",
       "      <td>932710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-09 00:00:00+00:00</th>\n",
       "      <td>904934</td>\n",
       "      <td>429408</td>\n",
       "      <td>939300</td>\n",
       "      <td>169646</td>\n",
       "      <td>14721</td>\n",
       "      <td>925254</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>900 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Panama  Costa Rica  Honduras  Nicaragua  \\\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  904934      427718    922340     169646   \n",
       "2022-07-06 00:00:00+00:00  904934      427718    927473     169646   \n",
       "2022-07-07 00:00:00+00:00  904934      427718    933259     169646   \n",
       "2022-07-08 00:00:00+00:00  904934      429408    939300     180970   \n",
       "2022-07-09 00:00:00+00:00  904934      429408    939300     169646   \n",
       "\n",
       "                           El Salvador  Guatemala  \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        14690     925254  \n",
       "2022-07-06 00:00:00+00:00        14721     925254  \n",
       "2022-07-07 00:00:00+00:00        14721     925254  \n",
       "2022-07-08 00:00:00+00:00        14721     932710  \n",
       "2022-07-09 00:00:00+00:00        14721     925254  \n",
       "\n",
       "[900 rows x 6 columns]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ca.columns = ['Panama','Costa Rica','Honduras','Nicaragua','El Salvador','Guatemala']\n",
    "df_ca"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "8a18c48b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Comparativa Covid-19 de países Centreoamericanos'}, xlabel='Date'>"
      ]
     },
     "execution_count": 70,
     "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_ca.plot(title='Comparativa Covid-19 de países Centreoamericanos', logy=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48df6334",
   "metadata": {},
   "source": [
    "## Descripción: hice una comparación de casos de Covid-19 en Centroamérica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dff8aede",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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
}