COVID_Chile_Examenes_PCR_Realizados.ipynb

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  "metadata": {
    "colab": {
      "name": "COVID-Chile-Examenes-PCR-Realizados.ipynb",
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      "collapsed_sections": [],
      "authorship_tag": "ABX9TyNZOE3IO3aZlE+BM1i9yHM0",
      "include_colab_link": true
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/alonsosilvaallende/COVID-19/blob/master/COVID_Chile_Examenes_PCR_Realizados.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HeTzNfivtv9Y",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "plt.style.use('ggplot')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vFFc7WqCt2Nl",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "tests_raw = pd.read_csv(\n",
        "    'https://raw.githubusercontent.com/MinCiencia/Datos-COVID19/master/output/producto7/PCR.csv',\n",
        "    index_col='Region')\n",
        "tests_raw = tests_raw.fillna(0)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BAwQr6lV1pYt",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "casos_raw = pd.read_csv(\n",
        "    \"https://raw.githubusercontent.com/MinCiencia/Datos-COVID19/master/output/producto3/CasosTotalesCumulativo.csv\", \n",
        "    index_col='Region')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LFS3t2r0v94o",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "tests_total = pd.Series(dtype='float64')\n",
        "for date in tests_raw.columns:\n",
        "  tests_raw[date] = tests_raw[date].apply(lambda x: 0 if x=='-' else x)\n",
        "  tests_raw[date] = tests_raw[date].astype(int)\n",
        "  tests_total[date] = np.sum(tests_raw[date])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BuGKyOvB6yzd",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "tests_raw.loc['Total'] = tests_total"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CBQg889Dtn0k",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 614
        },
        "outputId": "883328e6-6eb1-477b-d39a-052990e80ddc"
      },
      "source": [
        "tests_raw"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Poblacion</th>\n",
              "      <th>2020-04-09</th>\n",
              "      <th>2020-04-10</th>\n",
              "      <th>2020-04-11</th>\n",
              "      <th>2020-04-12</th>\n",
              "      <th>2020-04-13</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Region</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>Arica y Parinacota</th>\n",
              "      <td>252110</td>\n",
              "      <td>70</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>103</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tarapaca</th>\n",
              "      <td>382773</td>\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",
              "      <th>Antofagasta</th>\n",
              "      <td>691854</td>\n",
              "      <td>182</td>\n",
              "      <td>128</td>\n",
              "      <td>107</td>\n",
              "      <td>175</td>\n",
              "      <td>103</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Atacama</th>\n",
              "      <td>314709</td>\n",
              "      <td>57</td>\n",
              "      <td>52</td>\n",
              "      <td>60</td>\n",
              "      <td>25</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Coquimbo</th>\n",
              "      <td>836096</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>Valparaiso</th>\n",
              "      <td>1960170</td>\n",
              "      <td>301</td>\n",
              "      <td>249</td>\n",
              "      <td>248</td>\n",
              "      <td>273</td>\n",
              "      <td>223</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Metropolitana</th>\n",
              "      <td>8125072</td>\n",
              "      <td>5383</td>\n",
              "      <td>3158</td>\n",
              "      <td>2105</td>\n",
              "      <td>3861</td>\n",
              "      <td>1850</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Del Libertador General Bernardo O’Higgins</th>\n",
              "      <td>991063</td>\n",
              "      <td>68</td>\n",
              "      <td>0</td>\n",
              "      <td>74</td>\n",
              "      <td>0</td>\n",
              "      <td>74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Maule</th>\n",
              "      <td>1131939</td>\n",
              "      <td>397</td>\n",
              "      <td>219</td>\n",
              "      <td>0</td>\n",
              "      <td>341</td>\n",
              "      <td>113</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nuble</th>\n",
              "      <td>511551</td>\n",
              "      <td>364</td>\n",
              "      <td>0</td>\n",
              "      <td>259</td>\n",
              "      <td>189</td>\n",
              "      <td>65</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Biobio</th>\n",
              "      <td>1663696</td>\n",
              "      <td>592</td>\n",
              "      <td>149</td>\n",
              "      <td>281</td>\n",
              "      <td>469</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>La Araucania</th>\n",
              "      <td>1014343</td>\n",
              "      <td>124</td>\n",
              "      <td>148</td>\n",
              "      <td>126</td>\n",
              "      <td>184</td>\n",
              "      <td>232</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Los Rios</th>\n",
              "      <td>405835</td>\n",
              "      <td>0</td>\n",
              "      <td>91</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Los Lagos</th>\n",
              "      <td>891440</td>\n",
              "      <td>341</td>\n",
              "      <td>199</td>\n",
              "      <td>178</td>\n",
              "      <td>225</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Aysen</th>\n",
              "      <td>107297</td>\n",
              "      <td>10</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Magallanes y la Antartica</th>\n",
              "      <td>178362</td>\n",
              "      <td>73</td>\n",
              "      <td>24</td>\n",
              "      <td>46</td>\n",
              "      <td>45</td>\n",
              "      <td>45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total</th>\n",
              "      <td>19458310</td>\n",
              "      <td>7962</td>\n",
              "      <td>4417</td>\n",
              "      <td>3484</td>\n",
              "      <td>5897</td>\n",
              "      <td>2764</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           Poblacion  ...  2020-04-13\n",
              "Region                                                ...            \n",
              "Arica y Parinacota                            252110  ...           0\n",
              "Tarapaca                                      382773  ...           0\n",
              "Antofagasta                                   691854  ...         103\n",
              "Atacama                                       314709  ...          20\n",
              "Coquimbo                                      836096  ...           0\n",
              "Valparaiso                                   1960170  ...         223\n",
              "Metropolitana                                8125072  ...        1850\n",
              "Del Libertador General Bernardo O’Higgins     991063  ...          74\n",
              "Maule                                        1131939  ...         113\n",
              "Nuble                                         511551  ...          65\n",
              "Biobio                                       1663696  ...           0\n",
              "La Araucania                                 1014343  ...         232\n",
              "Los Rios                                      405835  ...           0\n",
              "Los Lagos                                     891440  ...          39\n",
              "Aysen                                         107297  ...           0\n",
              "Magallanes y la Antartica                     178362  ...          45\n",
              "Total                                       19458310  ...        2764\n",
              "\n",
              "[17 rows x 6 columns]"
            ]
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    {
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          "height": 275
        },
        "outputId": "7d509498-a3a5-40b7-f441-e0cd2e6aef4e"
      },
      "source": [
        "casos_raw.head()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
              "      <th>2020-03-03</th>\n",
              "      <th>2020-03-04</th>\n",
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              "      <th>Region</th>\n",
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              "      <th>Arica y Parinacota</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",
              "      <td>0</td>\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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>6</td>\n",
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              "      <td>7</td>\n",
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              "      <td>53</td>\n",
              "      <td>63</td>\n",
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              "      <td>87</td>\n",
              "      <td>107</td>\n",
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              "      <th>Tarapaca</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",
              "      <td>0</td>\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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>26</td>\n",
              "      <td>29</td>\n",
              "      <td>35</td>\n",
              "      <td>38</td>\n",
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              "    <tr>\n",
              "      <th>Antofagasta</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>6</td>\n",
              "      <td>10</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>13</td>\n",
              "      <td>20</td>\n",
              "      <td>21</td>\n",
              "      <td>25</td>\n",
              "      <td>27</td>\n",
              "      <td>35</td>\n",
              "      <td>35</td>\n",
              "      <td>39</td>\n",
              "      <td>47</td>\n",
              "      <td>54</td>\n",
              "      <td>55</td>\n",
              "      <td>60</td>\n",
              "      <td>68</td>\n",
              "      <td>69</td>\n",
              "      <td>77</td>\n",
              "      <td>92</td>\n",
              "      <td>110</td>\n",
              "      <td>117</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Atacama</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
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              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "      <td>8</td>\n",
              "      <td>10</td>\n",
              "      <td>13</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Coquimbo</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",
              "      <td>0</td>\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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "      <td>11</td>\n",
              "      <td>13</td>\n",
              "      <td>14</td>\n",
              "      <td>15</td>\n",
              "      <td>18</td>\n",
              "      <td>27</td>\n",
              "      <td>28</td>\n",
              "      <td>30</td>\n",
              "      <td>34</td>\n",
              "      <td>35</td>\n",
              "      <td>44</td>\n",
              "      <td>50</td>\n",
              "      <td>51</td>\n",
              "      <td>52</td>\n",
              "      <td>56</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>64</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                    2020-03-03  2020-03-04  ...  2020-04-10  2020-04-11\n",
              "Region                                      ...                        \n",
              "Arica y Parinacota           0           0  ...          87         107\n",
              "Tarapaca                     0           0  ...          35          38\n",
              "Antofagasta                  0           0  ...         110         117\n",
              "Atacama                      0           0  ...          13          13\n",
              "Coquimbo                     0           0  ...          61          64\n",
              "\n",
              "[5 rows x 40 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "h9LzhS-CvLd0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "tests_20200408 = pd.read_csv('https://raw.githubusercontent.com/MinCiencia/Datos-COVID19/master/output/producto4/2020-04-08-CasosConfirmados-totalRegional.csv', index_col='Region')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KFy21elcutJK",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "tests_20200413 = pd.read_csv('https://raw.githubusercontent.com/MinCiencia/Datos-COVID19/master/output/producto4/2020-04-13-CasosConfirmados-totalRegional.csv', index_col='Region')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kir2rJyAvvq_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "a420ae91-9f49-4370-8085-d53e900d1e81"
      },
      "source": [
        "len(tests_20200408), len(tests_20200413), len(tests_20200413['Casos  totales'] - tests_20200408['Casos  totales'])"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(17, 17, 17)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KKyAVpOov_5I",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "positividad = 100*(tests_20200413['Casos  totales'] - tests_20200408['Casos  totales'])/tests_raw.drop(columns='Poblacion').sum(axis=1).values"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lmDVcvJzz24S",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "positividad = positividad.drop(['Tarapaca', 'Coquimbo'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-YlIUxjh0tLR",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 318
        },
        "outputId": "fd644ae0-d4fc-4101-b16f-82a56e4e69d1"
      },
      "source": [
        "positividad"
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Region\n",
              "Arica  y  Parinacota    30.057803\n",
              "Antofagasta             10.359712\n",
              "Atacama                  2.336449\n",
              "Valparaiso               3.709428\n",
              "Metropolitana            7.672556\n",
              "O'Higgins                2.314815\n",
              "Maule                    2.056075\n",
              "Nuble                    6.499430\n",
              "Biobio                   4.896043\n",
              "Araucania               15.479115\n",
              "Los  Rios               26.373626\n",
              "Los  Lagos               5.600815\n",
              "Aysen                    0.000000\n",
              "Magallanes              63.948498\n",
              "Total                    8.069646\n",
              "Name: Casos  totales, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i-86WQvM0kby",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "positividad = positividad.sort_values(ascending=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j3P7T97bz5ST",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 535
        },
        "outputId": "3fc68988-b221-41e1-8593-0b17a3369a6b"
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(10,7))\n",
        "positividad.plot(kind='barh', ax=ax, color='C1', fontsize='x-large')\n",
        "for i, val in enumerate(positividad):\n",
        "  ax.text(val, i-0.1, f\" {val:.1f}%\", fontsize='large')\n",
        "ax.set_xticks([0,10,20,30,40,50,60,70])\n",
        "ax.set_xticklabels(['0%', '10%', '20%', '30%', '40%', '50%' ,'60%' ,'70%' ])\n",
        "ax.set_title(f'COVID-19 en Chile: Positividad por Región entre el 9 y el 13 de abril\\nPositividad = Casos confirmados / exámenes informados', fontsize='x-large')\n",
        "ax.set_xlabel(f'Positividad', fontsize='x-large')\n",
        "ax.set_ylabel(f'Región', fontsize='x-large')\n",
        "plt.xlim(0,70)\n",
        "fig.tight_layout()\n",
        "plt.annotate('Source:\\nhttps://github.com/MinCiencia/Datos-COVID19', (0,0), (-120,-30), fontsize='x-large', xycoords='axes fraction', textcoords='offset points', va='top')\n",
        "plt.savefig(\"2020-04-14-COVID-19-Chile-Positividad-por-Region.png\", format='png', bbox_inches='tight', dvi=1200)"
      ],
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-RmSOaXf3jgg",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from google.colab import files\n",
        "files.download(\"2020-04-14-COVID-19-Chile-Positividad-por-Region.png\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0V28r2HQAEd2",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "date = '2020-04-10'"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "as0QK9Qg3O3q",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data = pd.DataFrame()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lyVs5nvU13hV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data['Casos confirmados'] = casos_raw[date] - casos_raw[(pd.to_datetime(date)-pd.DateOffset(1)).strftime('%Y-%m-%d')]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LGuBZHpW3V1Q",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data['Tests'] = tests_raw[date].values"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6runuv4y8_N2",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "positividad = pd.Series(dtype='float64')\n",
        "for i in np.arange(len(data)):\n",
        "  if data['Tests'].iloc[i] != 0:\n",
        "    positividad[f'{i}'] = f\"{data['Casos confirmados'].iloc[i]/data['Tests'].iloc[i]*100:.1f}\"\n",
        "  else:\n",
        "    positividad[f'{i}'] = 0.0"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pMwubhi48at_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data['Positividad (%)'] = positividad.values"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bvR76Mm17Ku8",
        "colab_type": "code",
        "outputId": "6068a831-97cc-4850-ba6a-17d0928cb308",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 614
        }
      },
      "source": [
        "data"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Casos confirmados</th>\n",
              "      <th>Tests</th>\n",
              "      <th>Positividad (%)</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Region</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Arica y Parinacota</th>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tarapaca</th>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Antofagasta</th>\n",
              "      <td>18</td>\n",
              "      <td>128</td>\n",
              "      <td>14.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Atacama</th>\n",
              "      <td>3</td>\n",
              "      <td>52</td>\n",
              "      <td>5.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Coquimbo</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Valparaiso</th>\n",
              "      <td>11</td>\n",
              "      <td>249</td>\n",
              "      <td>4.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Metropolitana</th>\n",
              "      <td>361</td>\n",
              "      <td>3158</td>\n",
              "      <td>11.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>O’Higgins</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Maule</th>\n",
              "      <td>3</td>\n",
              "      <td>219</td>\n",
              "      <td>1.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ñuble</th>\n",
              "      <td>18</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Biobío</th>\n",
              "      <td>14</td>\n",
              "      <td>149</td>\n",
              "      <td>9.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Araucanía</th>\n",
              "      <td>23</td>\n",
              "      <td>148</td>\n",
              "      <td>15.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Los Ríos</th>\n",
              "      <td>6</td>\n",
              "      <td>91</td>\n",
              "      <td>6.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Los Lagos</th>\n",
              "      <td>9</td>\n",
              "      <td>199</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Aysén</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Magallanes</th>\n",
              "      <td>45</td>\n",
              "      <td>24</td>\n",
              "      <td>187.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total</th>\n",
              "      <td>529</td>\n",
              "      <td>4417</td>\n",
              "      <td>12.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                    Casos confirmados  Tests Positividad (%)\n",
              "Region                                                      \n",
              "Arica y Parinacota                 12      0               0\n",
              "Tarapaca                            6      0               0\n",
              "Antofagasta                        18    128            14.1\n",
              "Atacama                             3     52             5.8\n",
              "Coquimbo                            0      0               0\n",
              "Valparaiso                         11    249             4.4\n",
              "Metropolitana                     361   3158            11.4\n",
              "O’Higgins                           0      0               0\n",
              "Maule                               3    219             1.4\n",
              "Ñuble                              18      0               0\n",
              "Biobío                             14    149             9.4\n",
              "Araucanía                          23    148            15.5\n",
              "Los Ríos                            6     91             6.6\n",
              "Los Lagos                           9    199             4.5\n",
              "Aysén                               0      0               0\n",
              "Magallanes                         45     24           187.5\n",
              "Total                             529   4417            12.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "80aAX0ejCve5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data['Positividad (%)'] = data['Positividad (%)'].astype(float)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "p-vReIeRDJ8r",
        "colab_type": "code",
        "outputId": "bb508feb-d1b1-494e-aeb1-b588cf785bed",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 526
        }
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(10,7))\n",
        "data['Positividad (%)'].plot(kind='bar', ax=ax, color='C1')\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}