COVID_19_Chile_France_Hubei_Italy.ipynb

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      "name": "COVID-19-Chile-France-Hubei-Italy.ipynb",
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      "authorship_tag": "ABX9TyOHLVg4StnQt9bz9efDIm/M",
      "include_colab_link": true
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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_19_Chile_France_Hubei_Italy.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YgOlJ-nVSw3_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "plt.style.use('seaborn')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4tFYb3C61crv",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "cases = pd.read_csv(\"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Confirmed.csv\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
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        "id": "c0q_NeDm1mxi",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 226
        },
        "outputId": "43ffd922-6f86-43c3-d4c6-0617af68e0fe"
      },
      "source": [
        "cases.head()"
      ],
      "execution_count": 32,
      "outputs": [
        {
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              "      <td>1</td>\n",
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              "      <td>1</td>\n",
              "      <td>1</td>\n",
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            ],
            "text/plain": [
              "  Province/State Country/Region      Lat  ...  3/18/20  3/19/20  3/20/20\n",
              "0            NaN       Thailand  15.0000  ...      212      272      322\n",
              "1            NaN          Japan  36.0000  ...      889      924      963\n",
              "2            NaN      Singapore   1.2833  ...      313      345      385\n",
              "3            NaN          Nepal  28.1667  ...        1        1        1\n",
              "4            NaN       Malaysia   2.5000  ...      790      900     1030\n",
              "\n",
              "[5 rows x 63 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
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        "colab_type": "code",
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        "outputId": "fe2b2db9-3126-4f95-97a3-28e58f5a4fcb"
      },
      "source": [
        "cases[cases['Country/Region'] == 'Italy']"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>2/23/20</th>\n",
              "      <th>2/24/20</th>\n",
              "      <th>2/25/20</th>\n",
              "      <th>2/26/20</th>\n",
              "      <th>2/27/20</th>\n",
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              "      <th>2/29/20</th>\n",
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              "      <th>3/3/20</th>\n",
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              "      <th>3/6/20</th>\n",
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              "      <th>3/9/20</th>\n",
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              "      <th>3/14/20</th>\n",
              "      <th>3/15/20</th>\n",
              "      <th>3/16/20</th>\n",
              "      <th>3/17/20</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Italy</td>\n",
              "      <td>43.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>0</td>\n",
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              "      <td>20</td>\n",
              "      <td>62</td>\n",
              "      <td>155</td>\n",
              "      <td>229</td>\n",
              "      <td>322</td>\n",
              "      <td>453</td>\n",
              "      <td>655</td>\n",
              "      <td>888</td>\n",
              "      <td>1128</td>\n",
              "      <td>1694</td>\n",
              "      <td>2036</td>\n",
              "      <td>2502</td>\n",
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              "      <td>7375</td>\n",
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              "      <td>10149</td>\n",
              "      <td>12462</td>\n",
              "      <td>12462</td>\n",
              "      <td>17660</td>\n",
              "      <td>21157</td>\n",
              "      <td>24747</td>\n",
              "      <td>27980</td>\n",
              "      <td>31506</td>\n",
              "      <td>35713</td>\n",
              "      <td>41035</td>\n",
              "      <td>47021</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Province/State Country/Region   Lat  ...  3/18/20  3/19/20  3/20/20\n",
              "16            NaN          Italy  43.0  ...    35713    41035    47021\n",
              "\n",
              "[1 rows x 63 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
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      },
      "source": [
        "Italy_cases = cases.iloc[16,4:]"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1/22/20    0\n",
              "1/23/20    0\n",
              "1/24/20    0\n",
              "1/25/20    0\n",
              "1/26/20    0\n",
              "Name: 16, dtype: object"
            ]
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            "tags": []
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          "execution_count": 31
        }
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        "id": "ZRWUm_WF3wF9",
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        "outputId": "f63bb8b6-7513-41b2-8bb7-38847440207a"
      },
      "source": [
        "cases[cases['Province/State'] == 'Hubei']"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
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              "      <th>154</th>\n",
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            "text/plain": [
              "    Province/State Country/Region      Lat  ...  3/18/20  3/19/20  3/20/20\n",
              "154          Hubei          China  30.9756  ...    67800    67800    67800\n",
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      },
      "source": [
        "Hubei_cases = cases.iloc[154,4:]\n",
        "Hubei_cases.head()"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1/22/20     444\n",
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      "source": [
        "cases[cases['Country/Region'] == 'Chile']"
      ],
      "execution_count": 13,
      "outputs": [
        {
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              "</table>\n",
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            ],
            "text/plain": [
              "   Province/State Country/Region      Lat  ...  3/18/20  3/19/20  3/20/20\n",
              "67            NaN          Chile -35.6751  ...      238      238      434\n",
              "\n",
              "[1 rows x 63 columns]"
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          },
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        }
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        },
        "outputId": "6f3f3f25-d1df-4207-9ce6-c00de3a227c4"
      },
      "source": [
        "Chile_cases = cases.iloc[67,4:]\n",
        "Chile_cases.head()"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1/22/20    0\n",
              "1/23/20    0\n",
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          "execution_count": 33
        }
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        "outputId": "92ec147e-75f0-45fd-b482-f1c2aaefd2e2"
      },
      "source": [
        "cases[cases['Province/State'] == 'France']"
      ],
      "execution_count": 34,
      "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>Province/State</th>\n",
              "      <th>Country/Region</th>\n",
              "      <th>Lat</th>\n",
              "      <th>Long</th>\n",
              "      <th>1/22/20</th>\n",
              "      <th>1/23/20</th>\n",
              "      <th>1/24/20</th>\n",
              "      <th>1/25/20</th>\n",
              "      <th>1/26/20</th>\n",
              "      <th>1/27/20</th>\n",
              "      <th>1/28/20</th>\n",
              "      <th>1/29/20</th>\n",
              "      <th>1/30/20</th>\n",
              "      <th>1/31/20</th>\n",
              "      <th>2/1/20</th>\n",
              "      <th>2/2/20</th>\n",
              "      <th>2/3/20</th>\n",
              "      <th>2/4/20</th>\n",
              "      <th>2/5/20</th>\n",
              "      <th>2/6/20</th>\n",
              "      <th>2/7/20</th>\n",
              "      <th>2/8/20</th>\n",
              "      <th>2/9/20</th>\n",
              "      <th>2/10/20</th>\n",
              "      <th>2/11/20</th>\n",
              "      <th>2/12/20</th>\n",
              "      <th>2/13/20</th>\n",
              "      <th>2/14/20</th>\n",
              "      <th>2/15/20</th>\n",
              "      <th>2/16/20</th>\n",
              "      <th>2/17/20</th>\n",
              "      <th>2/18/20</th>\n",
              "      <th>2/19/20</th>\n",
              "      <th>2/20/20</th>\n",
              "      <th>2/21/20</th>\n",
              "      <th>2/22/20</th>\n",
              "      <th>2/23/20</th>\n",
              "      <th>2/24/20</th>\n",
              "      <th>2/25/20</th>\n",
              "      <th>2/26/20</th>\n",
              "      <th>2/27/20</th>\n",
              "      <th>2/28/20</th>\n",
              "      <th>2/29/20</th>\n",
              "      <th>3/1/20</th>\n",
              "      <th>3/2/20</th>\n",
              "      <th>3/3/20</th>\n",
              "      <th>3/4/20</th>\n",
              "      <th>3/5/20</th>\n",
              "      <th>3/6/20</th>\n",
              "      <th>3/7/20</th>\n",
              "      <th>3/8/20</th>\n",
              "      <th>3/9/20</th>\n",
              "      <th>3/10/20</th>\n",
              "      <th>3/11/20</th>\n",
              "      <th>3/12/20</th>\n",
              "      <th>3/13/20</th>\n",
              "      <th>3/14/20</th>\n",
              "      <th>3/15/20</th>\n",
              "      <th>3/16/20</th>\n",
              "      <th>3/17/20</th>\n",
              "      <th>3/18/20</th>\n",
              "      <th>3/19/20</th>\n",
              "      <th>3/20/20</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>157</th>\n",
              "      <td>France</td>\n",
              "      <td>France</td>\n",
              "      <td>46.2276</td>\n",
              "      <td>2.2137</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>14</td>\n",
              "      <td>18</td>\n",
              "      <td>38</td>\n",
              "      <td>57</td>\n",
              "      <td>100</td>\n",
              "      <td>130</td>\n",
              "      <td>191</td>\n",
              "      <td>204</td>\n",
              "      <td>285</td>\n",
              "      <td>377</td>\n",
              "      <td>653</td>\n",
              "      <td>949</td>\n",
              "      <td>1126</td>\n",
              "      <td>1209</td>\n",
              "      <td>1784</td>\n",
              "      <td>2281</td>\n",
              "      <td>2281</td>\n",
              "      <td>3661</td>\n",
              "      <td>4469</td>\n",
              "      <td>4499</td>\n",
              "      <td>6633</td>\n",
              "      <td>7652</td>\n",
              "      <td>9043</td>\n",
              "      <td>10871</td>\n",
              "      <td>12612</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Province/State Country/Region      Lat  ...  3/18/20  3/19/20  3/20/20\n",
              "157         France         France  46.2276  ...     9043    10871    12612\n",
              "\n",
              "[1 rows x 63 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f13tTjY56FEt",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "France_cases = cases.iloc[157,4:]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gxFZjFN_6W2X",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "France100 = France_cases[France_cases>100]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QgWCj9kK6hUi",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Italy100 = Italy_cases[Italy_cases>100]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bSVSH3zr6lEU",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Chile100 = Chile_cases[Chile_cases>100]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NbL-VhC16ouw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Hubei100 = Hubei_cases[Hubei_cases>100]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wEMZrlsR8R4K",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "6f768e2c-6818-4fa8-cb0e-ef6488ac4453"
      },
      "source": [
        "Hubei100"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1/22/20      444\n",
              "1/23/20      444\n",
              "1/24/20      549\n",
              "1/25/20      761\n",
              "1/26/20     1058\n",
              "1/27/20     1423\n",
              "1/28/20     3554\n",
              "1/29/20     3554\n",
              "1/30/20     4903\n",
              "1/31/20     5806\n",
              "2/1/20      7153\n",
              "2/2/20     11177\n",
              "2/3/20     13522\n",
              "2/4/20     16678\n",
              "2/5/20     19665\n",
              "2/6/20     22112\n",
              "2/7/20     24953\n",
              "2/8/20     27100\n",
              "2/9/20     29631\n",
              "2/10/20    31728\n",
              "2/11/20    33366\n",
              "2/12/20    33366\n",
              "2/13/20    48206\n",
              "2/14/20    54406\n",
              "2/15/20    56249\n",
              "2/16/20    58182\n",
              "2/17/20    59989\n",
              "2/18/20    61682\n",
              "2/19/20    62031\n",
              "2/20/20    62442\n",
              "2/21/20    62662\n",
              "2/22/20    64084\n",
              "2/23/20    64084\n",
              "2/24/20    64287\n",
              "2/25/20    64786\n",
              "2/26/20    65187\n",
              "2/27/20    65596\n",
              "2/28/20    65914\n",
              "2/29/20    66337\n",
              "3/1/20     66907\n",
              "3/2/20     67103\n",
              "3/3/20     67217\n",
              "3/4/20     67332\n",
              "3/5/20     67466\n",
              "3/6/20     67592\n",
              "3/7/20     67666\n",
              "3/8/20     67707\n",
              "3/9/20     67743\n",
              "3/10/20    67760\n",
              "3/11/20    67773\n",
              "3/12/20    67781\n",
              "3/13/20    67786\n",
              "3/14/20    67790\n",
              "3/15/20    67794\n",
              "3/16/20    67798\n",
              "3/17/20    67799\n",
              "3/18/20    67800\n",
              "3/19/20    67800\n",
              "3/20/20    67800\n",
              "Name: 154, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1VeijqNuDTnC",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "France_lockdown = '2020-03-18'\n",
        "Italy_lockdown = '2020-03-10'\n",
        "Spain_lockdown = '2020-03-15'\n",
        "Hubei_lockdown = ''"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qDhR0nZz4Prb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "cases = {}\n",
        "for country in list_countries:\n",
        "  cases[country] = total_cases[country][total_cases[country] > TIPPING_POINT]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g2RBQtMr6-za",
        "colab_type": "code",
        "outputId": "1939f06b-18a9-46ee-a827-e67f538209ce",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        }
      },
      "source": [
        "cases[\"Italy\"].head(2)"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "date\n",
              "2020-02-24    132\n",
              "2020-02-25    229\n",
              "Name: Italy, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uNe7UrtR65qL",
        "colab_type": "code",
        "outputId": "f503eeaf-3439-4804-8285-fe29cbc90a8b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        }
      },
      "source": [
        "cases[\"France\"].head(2)"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "date\n",
              "2020-03-02    130\n",
              "2020-03-03    178\n",
              "Name: France, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QKRlGFfV619x",
        "colab_type": "code",
        "outputId": "7344f815-241f-42fa-e6b8-c35bcb068f8b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        }
      },
      "source": [
        "cases[\"Spain\"].head(2)"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "date\n",
              "2020-03-03    114\n",
              "2020-03-04    151\n",
              "Name: Spain, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5rae7YGUyMhz",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        },
        "outputId": "9e925a6e-81a2-43a6-d8c0-4484b43ca9b0"
      },
      "source": [
        "cases['Chile'].head(2)"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "date\n",
              "2020-03-17    156.0\n",
              "2020-03-18    201.0\n",
              "Name: Chile, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OFdEq7rNcutl",
        "colab_type": "text"
      },
      "source": [
        "On February 24, Italy reaches more than 100 cases and on March 10 Italy imposes lockdown. On March 3, Spain reaches more than 100 cases and on March 15 Spain imposes lockdown. On March 3, France reaches more than 100 cases and on March 18 France imposes lockdown (it was actually the day before but at noon)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZrMtRbQfDa95",
        "colab_type": "code",
        "outputId": "4731ba3f-71d0-4f43-bb9f-b4b6e551e466",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "France_gap = (pd.to_datetime(France_lockdown) - pd.to_datetime(cases[\"France\"].keys()[0])).days\n",
        "France_gap"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "16"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Vt01ghMkDd30",
        "colab_type": "code",
        "outputId": "5f0efecb-4c35-46d7-87f2-e960b4682ed9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "Italy_gap = (pd.to_datetime(Italy_lockdown) - pd.to_datetime(cases[\"Italy\"].keys()[0])).days\n",
        "Italy_gap"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "15"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "huzm1NSpDfFX",
        "colab_type": "code",
        "outputId": "9670cd13-ebb1-410d-fc03-fc4562efcd57",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "Spain_gap = (pd.to_datetime(Spain_lockdown) - pd.to_datetime(cases[\"Spain\"].keys()[0])).days\n",
        "Spain_gap"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "12"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GmAp0pDG9wU3",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 388
        },
        "outputId": "70ecb10d-4740-42ff-f3f1-291181df89ea"
      },
      "source": [
        "France100"
      ],
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3/1/20       130\n",
              "3/2/20       191\n",
              "3/3/20       204\n",
              "3/4/20       285\n",
              "3/5/20       377\n",
              "3/6/20       653\n",
              "3/7/20       949\n",
              "3/8/20      1126\n",
              "3/9/20      1209\n",
              "3/10/20     1784\n",
              "3/11/20     2281\n",
              "3/12/20     2281\n",
              "3/13/20     3661\n",
              "3/14/20     4469\n",
              "3/15/20     4499\n",
              "3/16/20     6633\n",
              "3/17/20     7652\n",
              "3/18/20     9043\n",
              "3/19/20    10871\n",
              "3/20/20    12612\n",
              "Name: 157, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "17W3KXr09J5A",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 511
        },
        "outputId": "bd8865a6-3434-48d7-cf5a-e69ae1763f31"
      },
      "source": [
        "Italy100"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2/23/20      155\n",
              "2/24/20      229\n",
              "2/25/20      322\n",
              "2/26/20      453\n",
              "2/27/20      655\n",
              "2/28/20      888\n",
              "2/29/20     1128\n",
              "3/1/20      1694\n",
              "3/2/20      2036\n",
              "3/3/20      2502\n",
              "3/4/20      3089\n",
              "3/5/20      3858\n",
              "3/6/20      4636\n",
              "3/7/20      5883\n",
              "3/8/20      7375\n",
              "3/9/20      9172\n",
              "3/10/20    10149\n",
              "3/11/20    12462\n",
              "3/12/20    12462\n",
              "3/13/20    17660\n",
              "3/14/20    21157\n",
              "3/15/20    24747\n",
              "3/16/20    27980\n",
              "3/17/20    31506\n",
              "3/18/20    35713\n",
              "3/19/20    41035\n",
              "3/20/20    47021\n",
              "Name: 16, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KoattYZp6Dxy",
        "colab_type": "code",
        "outputId": "11f56e76-812d-4d18-d531-751df36a7b2e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 463
        }
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(10,7))\n",
        "\n",
        "plt.plot(np.arange(len(Hubei100)), Hubei100, label='Hubei', linewidth=2, marker='o')\n",
        "plt.plot(np.arange(len(Italy100)), Italy100, label='Italy', linewidth=2, marker='o')\n",
        "plt.plot(np.arange(len(Chile100)), Chile100, label='Chile', linewidth=2, marker='o')\n",
        "plt.plot(np.arange(len(France100)), France100, label='France', linewidth=2, marker='o')\n",
        "\n",
        "plt.axvline(2, color='C0', linestyle='dashed')\n",
        "plt.axvline(16, color='C1', linestyle='dashed')\n",
        "plt.axvline(17, color='C3', linestyle='dashed')\n",
        "\n",
        "plt.annotate('<- Hubei lockdowns', (2,10000), color='C0', fontsize='x-large', fontweight='bold')\n",
        "plt.annotate('<- France lockdown', (17,500.0), color='C3', fontsize='x-large', fontweight='bold')\n",
        "plt.annotate('<- Italy lockdown', (16,1000.0), color='C1', fontsize='x-large', fontweight='bold')\n",
        "# plt.annotate('<- Spain lockdown', (Spain_gap,40000.0), color='C2', fontsize='x-large', fontweight='bold')\n",
        "\n",
        "ax.set_title('COVID-19: Number of known cases vs number of days since 100 known cases', fontsize='x-large')\n",
        "ax.set_xlabel('number of days since 100 known cases', fontsize='x-large')\n",
        "ax.set_ylabel('number of known cases', fontsize='x-large')\n",
        "ax.set_xticks(np.arange(len(Hubei100)))\n",
        "plt.yscale(\"log\")\n",
        "plt.xlim(0,30)\n",
        "plt.legend(fontsize='x-large')\n",
        "plt.show()"
      ],
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ufp2qqirIZDIYGRmBz+fDwsIC3333HXcrQEOfSWlpKUQiEUQiEfT19fHGG29ovW0AAEaM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\npFekP0mn8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IqdO7dxyy3T2bPnN06eTOCxx/4BwOzZ81i9+jOiogYSHt6D/fv3smTJv3jr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\nMBifMKyzxmAwGAwGg/EJ819kn3p+rPRFiQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g7AEVYFC-ngL",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from google.colab import files\n",
        "files.download(\"2020-03-21-COVID-19-Chile-France-Hubei-Italy.png\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "d2nmVYVPigqa",
        "colab_type": "text"
      },
      "source": [
        "In logarithmic scale:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dKel_PKlYHmQ",
        "colab_type": "code",
        "outputId": "bc0b3024-c1b8-490d-9904-ef3be11c9462",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 463
        }
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(12,7))\n",
        "for country in list_countries:\n",
        "  plt.plot(np.arange(len(cases[country])), cases[country], label=country, linewidth=2, marker='o')\n",
        "\n",
        "plt.axvline(Spain_gap, color='C3', linestyle='dashed')\n",
        "plt.axvline(France_gap, color='C0', linestyle='dashed')\n",
        "plt.axvline(Italy_gap, color='C1', linestyle='dashed')\n",
        "\n",
        "plt.annotate('<- Italy lockdown', (Italy_gap,2500.0), color='C1', fontsize='x-large', fontweight='bold')\n",
        "plt.annotate('<- Spain lockdown', (Spain_gap,25000.0), color='C3', fontsize='x-large', fontweight='bold')\n",
        "plt.annotate('<- France lockdown', (France_gap,1000.0), color='C0', fontsize='x-large', fontweight='bold')\n",
        "\n",
        "ax.set_title('COVID-19: Number of known cases vs number of days since 100 known cases', fontsize='x-large')\n",
        "ax.set_xlabel('number of days since 100 known cases', fontsize='x-large')\n",
        "ax.set_ylabel('number of known cases', fontsize='x-large')\n",
        "ax.set_xticks(np.arange(len(cases[\"Italy\"])))\n",
        "plt.yscale(\"log\")\n",
        "plt.legend(fontsize='x-large')\n",
        "plt.show()"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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6k1ZVVaGyshJqamrg8/nQ1dXFzz//zHWBauyYFBcXQyQSQSQSQSwW4+OPP1bYXQoABg8e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HP3dU3spjZ2fpxFZVkTKhXMmB/PhGkjUKlUndccyTKy+VAR5bWtBPvq0WnVlF7spBga4MnahQmM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\nUS2EEEIIIUQl/X/FVpNSikDYEQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 864x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IJPo_D5uFPxz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}