COVID19ArgentinaLatinamericaDeaths.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p><img alt=\"Colaboratory logo\" width=\"60px\" height=\"50px\" src=\"http://martingramatica.me/img/myNameBlack.png\" align=\"left\" hspace=\"10px\" vspace=\"0px\"></p>\n",
    "\n",
    "<h1>COVID-19 En Argentina</h1>\n",
    "\n",
    "Utilizando la infromación a nivel global ofrecida en https://github.com/CSSEGISandData me propuse hacer una comparación de la situación en Argentina con respecto a la región.\n",
    "\n",
    "Te invito a que participes, ya sea actualizando o corrigiendo datos, aprotando nuevos análisis de la información o simplemente con sugerencias e ideas.\n",
    "\n",
    "<strong>Gracias!!!</strong>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd \n",
    "\n",
    "currentDirectory = os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Leemos el archivo csv con los casos\n",
    "confirmed_df = pd.read_csv(currentDirectory + \"\\\\data_world\\\\time_series_19-covid-Deaths.csv\") \n",
    "\n",
    "del confirmed_df['Lat']\n",
    "del confirmed_df['Long']\n",
    "del confirmed_df['Province/State']\n",
    "\n",
    "confirmed_df = confirmed_df.set_index('Country/Region')\n",
    "\n",
    "confirmed_df.columns = pd.to_datetime(confirmed_df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x1280 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(18, 16), dpi= 80, facecolor='w', edgecolor='k')\n",
    "\n",
    "legend = []\n",
    "\n",
    "confirmed_df.loc['Argentina',:].plot.line(marker=\"o\", linewidth=1, markersize=4)\n",
    "legend.append('Argentina')\n",
    "confirmed_df.loc['Brazil',:].plot.line(marker=\"o\", linewidth=1, markersize=4)\n",
    "legend.append('Brasil')\n",
    "confirmed_df.loc['Uruguay',:].plot.line(marker=\"o\", linewidth=1, markersize=4)\n",
    "legend.append('Uruguay')\n",
    "confirmed_df.loc['Peru',:].plot.line(marker=\"o\", linewidth=1, markersize=4)\n",
    "legend.append('Peru')\n",
    "confirmed_df.loc['Chile',:].plot.line(marker=\"o\", linewidth=1, markersize=4)\n",
    "legend.append('Chile')\n",
    "confirmed_df.loc['Bolivia',:].plot.line(marker=\"o\", linewidth=1, markersize=4)\n",
    "legend.append('Bolivia')\n",
    "confirmed_df.loc['Ecuador',:].plot.line(marker=\"o\", linewidth=1, markersize=4)\n",
    "legend.append('Ecuador')\n",
    "confirmed_df.loc['Colombia',:].plot.line(marker=\"o\", linewidth=1, markersize=4)\n",
    "legend.append('Colombia')\n",
    "\n",
    "\n",
    "plt.title('Cantidad de afectados COVID-19 Mundo')\n",
    "plt.legend(legend)\n",
    "\n",
    "plt.xlabel('Día')\n",
    "plt.ylabel('Cantidad de afectados')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}