NOVEL_CORONAVIRUS.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "NOVEL CORONAVIRUS.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "M1mmhCkdYJx_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "import seaborn as sns\n",
        "import plotly.express as px\n",
        "import plotly.graph_objects as go\n",
        "import folium \n",
        "from folium import plugins\n",
        "plt.rcParams['figure.figsize'] = 10, 12\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ANM3b2Bqq8cG",
        "colab_type": "text"
      },
      "source": [
        ""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WqXu_hkSZimm",
        "colab_type": "code",
        "outputId": "7d95864d-2b49-42ba-d68b-e047a59da50e",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 422
        }
      },
      "source": [
        "from google.colab import files\n",
        "uploaded = files.upload()"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-08d12353-3802-46a3-8f3f-6920de5e0bbd\" name=\"files[]\" multiple disabled />\n",
              "     <output id=\"result-08d12353-3802-46a3-8f3f-6920de5e0bbd\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving Covid cases in India.xlsx to Covid cases in India.xlsx\n",
            "Saving covid_19_data.csv to covid_19_data.csv\n",
            "Saving COVID19_line_list_data.csv to COVID19_line_list_data.csv\n",
            "Saving COVID19_open_line_list.csv to COVID19_open_line_list.csv\n",
            "Saving Indian Coordinates.xlsx to Indian Coordinates.xlsx\n",
            "Saving per_day_cases.xlsx to per_day_cases.xlsx\n",
            "Saving recent_covid_19_data.csv to recent_covid_19_data.csv\n",
            "Saving time_series_covid_19_confirmed.csv to time_series_covid_19_confirmed.csv\n",
            "Saving time_series_covid_19_deaths.csv to time_series_covid_19_deaths.csv\n",
            "Saving time_series_covid_19_recovered.csv to time_series_covid_19_recovered.csv\n",
            "Saving time-series-19-covid-combined.csv to time-series-19-covid-combined.csv\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mFm_1DmxZ8xp",
        "colab_type": "code",
        "outputId": "3bc24fa4-a8d0-459e-e2c4-01fe55642d99",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 846
        }
      },
      "source": [
        "df= pd.read_excel('Covid cases in India.xlsx')\n",
        "df"
      ],
      "execution_count": 40,
      "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>S. No.</th>\n",
              "      <th>Name of State / UT</th>\n",
              "      <th>Total Confirmed cases (Indian National)</th>\n",
              "      <th>Total Confirmed cases ( Foreign National )</th>\n",
              "      <th>Cured</th>\n",
              "      <th>Death</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>Andhra Pradesh</td>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>Chhattisgarh</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>Delhi</td>\n",
              "      <td>38</td>\n",
              "      <td>1</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>Gujarat</td>\n",
              "      <td>43</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>Haryana</td>\n",
              "      <td>16</td>\n",
              "      <td>14</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>Himachal Pradesh</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7</td>\n",
              "      <td>Karnataka</td>\n",
              "      <td>20</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8</td>\n",
              "      <td>Kerala</td>\n",
              "      <td>131</td>\n",
              "      <td>7</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>9</td>\n",
              "      <td>Madhya Pradesh</td>\n",
              "      <td>23</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10</td>\n",
              "      <td>Maharashtra</td>\n",
              "      <td>144</td>\n",
              "      <td>3</td>\n",
              "      <td>15</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>11</td>\n",
              "      <td>Odisha</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>12</td>\n",
              "      <td>Puducherry</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>13</td>\n",
              "      <td>Punjab</td>\n",
              "      <td>29</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>14</td>\n",
              "      <td>Rajasthan</td>\n",
              "      <td>41</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>15</td>\n",
              "      <td>Tamil Nadu</td>\n",
              "      <td>32</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>16</td>\n",
              "      <td>Telengana</td>\n",
              "      <td>34</td>\n",
              "      <td>11</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>17</td>\n",
              "      <td>Chandigarh</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>18</td>\n",
              "      <td>Jammu and Kashmir</td>\n",
              "      <td>18</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>19</td>\n",
              "      <td>Ladakh</td>\n",
              "      <td>13</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>20</td>\n",
              "      <td>Uttar Pradesh</td>\n",
              "      <td>42</td>\n",
              "      <td>1</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>21</td>\n",
              "      <td>Uttarakhand</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>22</td>\n",
              "      <td>West Bengal</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>23</td>\n",
              "      <td>Bihar</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>24</td>\n",
              "      <td>Mizoram</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>25</td>\n",
              "      <td>Goa</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>26</td>\n",
              "      <td>Manipur</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    S. No. Name of State / UT  ...  Cured  Death\n",
              "0        1     Andhra Pradesh  ...      1      0\n",
              "1        2       Chhattisgarh  ...      0      0\n",
              "2        3              Delhi  ...      6      1\n",
              "3        4            Gujarat  ...      0      3\n",
              "4        5            Haryana  ...     11      0\n",
              "5        6   Himachal Pradesh  ...      0      1\n",
              "6        7          Karnataka  ...      3      2\n",
              "7        8             Kerala  ...     11      0\n",
              "8        9     Madhya Pradesh  ...      0      1\n",
              "9       10        Maharashtra  ...     15      4\n",
              "10      11             Odisha  ...      0      0\n",
              "11      12         Puducherry  ...      0      0\n",
              "12      13             Punjab  ...      0      1\n",
              "13      14          Rajasthan  ...      3      0\n",
              "14      15         Tamil Nadu  ...      1      1\n",
              "15      16          Telengana  ...      1      0\n",
              "16      17         Chandigarh  ...      0      0\n",
              "17      18  Jammu and Kashmir  ...      1      1\n",
              "18      19             Ladakh  ...      0      0\n",
              "19      20      Uttar Pradesh  ...     11      0\n",
              "20      21        Uttarakhand  ...      0      0\n",
              "21      22        West Bengal  ...      0      1\n",
              "22      23              Bihar  ...      0      1\n",
              "23      24            Mizoram  ...      0      0\n",
              "24      25                Goa  ...      0      0\n",
              "25      26            Manipur  ...      0      0\n",
              "\n",
              "[26 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g1LcuPl8f12e",
        "colab_type": "code",
        "outputId": "595d665a-7e1c-4655-9790-a80113304c67",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "df.drop(['S. No.'],axis=1,inplace=True)\n",
        "df['Total cases']=df['Total Confirmed cases (Indian National)']+df['Total Confirmed cases ( Foreign National )']\n",
        "total_cases=df['Total cases'].sum()\n",
        "print('The total number of cases till now in India is',total_cases)"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The total number of cases till now in India is 729\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2E9tGlIQgNkK",
        "colab_type": "code",
        "outputId": "6751cdbf-9ee2-49f9-a8db-657769adf364",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 846
        }
      },
      "source": [
        "df"
      ],
      "execution_count": 42,
      "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>Name of State / UT</th>\n",
              "      <th>Total Confirmed cases (Indian National)</th>\n",
              "      <th>Total Confirmed cases ( Foreign National )</th>\n",
              "      <th>Cured</th>\n",
              "      <th>Death</th>\n",
              "      <th>Total cases</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Andhra Pradesh</td>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Chhattisgarh</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Delhi</td>\n",
              "      <td>38</td>\n",
              "      <td>1</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Gujarat</td>\n",
              "      <td>43</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Haryana</td>\n",
              "      <td>16</td>\n",
              "      <td>14</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Himachal Pradesh</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Karnataka</td>\n",
              "      <td>20</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Kerala</td>\n",
              "      <td>131</td>\n",
              "      <td>7</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td>138</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Madhya Pradesh</td>\n",
              "      <td>23</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Maharashtra</td>\n",
              "      <td>144</td>\n",
              "      <td>3</td>\n",
              "      <td>15</td>\n",
              "      <td>4</td>\n",
              "      <td>147</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Odisha</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Puducherry</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Punjab</td>\n",
              "      <td>29</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Rajasthan</td>\n",
              "      <td>41</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Tamil Nadu</td>\n",
              "      <td>32</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Telengana</td>\n",
              "      <td>34</td>\n",
              "      <td>11</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Chandigarh</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Jammu and Kashmir</td>\n",
              "      <td>18</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Ladakh</td>\n",
              "      <td>13</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Uttar Pradesh</td>\n",
              "      <td>42</td>\n",
              "      <td>1</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td>43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>Uttarakhand</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>West Bengal</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>Bihar</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Mizoram</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>Goa</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>Manipur</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Name of State / UT  ...  Total cases\n",
              "0      Andhra Pradesh  ...           12\n",
              "1        Chhattisgarh  ...            6\n",
              "2               Delhi  ...           39\n",
              "3             Gujarat  ...           43\n",
              "4             Haryana  ...           30\n",
              "5    Himachal Pradesh  ...            4\n",
              "6           Karnataka  ...           20\n",
              "7              Kerala  ...          138\n",
              "8      Madhya Pradesh  ...           23\n",
              "9         Maharashtra  ...          147\n",
              "10             Odisha  ...            3\n",
              "11         Puducherry  ...            1\n",
              "12             Punjab  ...           29\n",
              "13          Rajasthan  ...           43\n",
              "14         Tamil Nadu  ...           35\n",
              "15          Telengana  ...           45\n",
              "16         Chandigarh  ...            7\n",
              "17  Jammu and Kashmir  ...           18\n",
              "18             Ladakh  ...           13\n",
              "19      Uttar Pradesh  ...           43\n",
              "20        Uttarakhand  ...            4\n",
              "21        West Bengal  ...           11\n",
              "22              Bihar  ...            7\n",
              "23            Mizoram  ...            1\n",
              "24                Goa  ...            6\n",
              "25            Manipur  ...            1\n",
              "\n",
              "[26 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rbxtMeNSg0P-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "India_coord = pd.read_excel('/content/Indian Coordinates.xlsx')\n",
        "dbd_India = pd.read_excel('/content/per_day_cases.xlsx',parse_dates=True, sheet_name='India')\n",
        "dbd_Italy = pd.read_excel('/content/per_day_cases.xlsx',parse_dates=True, sheet_name=\"Italy\")\n",
        "dbd_Korea = pd.read_excel('/content/per_day_cases.xlsx',parse_dates=True, sheet_name=\"Korea\")\n",
        "dbd_Wuhan = pd.read_excel('/content/per_day_cases.xlsx',parse_dates=True, sheet_name=\"Wuhan\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "B1lVsSjtrZ4Z",
        "colab_type": "text"
      },
      "source": [
        "# TOTAL CASES IN INDIA\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1O1-_WxyrfYO",
        "colab_type": "code",
        "outputId": "08e0b615-279f-4b92-8dd2-0ab8dd16be69",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 577
        }
      },
      "source": [
        "df.style.background_gradient(cmap='Reds')"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row1_col2 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row1_col3 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row1_col4 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row1_col5 {\n",
              "            background-color:  #fff0e8;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row2_col1 {\n",
              "            background-color:  #fcb89e;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row2_col2 {\n",
              "            background-color:  #fee9df;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row2_col3 {\n",
              "            background-color:  #fc8a6a;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row2_col4 {\n",
              "            background-color:  #fcbba1;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row2_col5 {\n",
              "            background-color:  #fcb89e;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row3_col1 {\n",
              "            background-color:  #fcad90;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row3_col2 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row3_col3 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row3_col4 {\n",
              "            background-color:  #ca181d;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row3_col5 {\n",
              "            background-color:  #fcaf93;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row4_col1 {\n",
              "            background-color:  #fee4d8;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row4_col2 {\n",
              "            background-color:  #67000d;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row4_col3 {\n",
              "            background-color:  #d01d1f;\n",
              "            color:  #f1f1f1;\n",
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              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row4_col5 {\n",
              "            background-color:  #fdcbb6;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row5_col1 {\n",
              "            background-color:  #fff2eb;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row5_col2 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row5_col3 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row5_col4 {\n",
              "            background-color:  #fcbba1;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row5_col5 {\n",
              "            background-color:  #fff2eb;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row6_col1 {\n",
              "            background-color:  #fedecf;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row6_col2 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row6_col3 {\n",
              "            background-color:  #fdcab5;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fb694a;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row6_col5 {\n",
              "            background-color:  #fedfd0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row7_col1 {\n",
              "            background-color:  #940b13;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row7_col2 {\n",
              "            background-color:  #fb694a;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row7_col3 {\n",
              "            background-color:  #d01d1f;\n",
              "            color:  #f1f1f1;\n",
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              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row7_col5 {\n",
              "            background-color:  #840711;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row8_col1 {\n",
              "            background-color:  #fed8c7;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row8_col3 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row8_col4 {\n",
              "            background-color:  #fcbba1;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row8_col5 {\n",
              "            background-color:  #fed9c9;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row9_col1 {\n",
              "            background-color:  #67000d;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row9_col2 {\n",
              "            background-color:  #fdc6b0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row9_col3 {\n",
              "            background-color:  #67000d;\n",
              "            color:  #f1f1f1;\n",
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              "            background-color:  #67000d;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row9_col5 {\n",
              "            background-color:  #67000d;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row10_col1 {\n",
              "            background-color:  #fff3ed;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row10_col2 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row10_col3 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff3ed;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fdcbb6;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row12_col4 {\n",
              "            background-color:  #fcbba1;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fdccb8;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fcb296;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fedbcc;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fdcab5;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fcaf93;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fdc5ae;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fdc6b0;\n",
              "            color:  #000000;\n",
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              "            background-color:  #feeae0;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fcbba1;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fcc1a8;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fcc1a8;\n",
              "            color:  #000000;\n",
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              "            background-color:  #bf151b;\n",
              "            color:  #f1f1f1;\n",
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              "            background-color:  #feeae0;\n",
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              "            background-color:  #fff5f0;\n",
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              "            background-color:  #fcaa8d;\n",
              "            color:  #000000;\n",
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              "            background-color:  #ffeee7;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff5f0;\n",
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              "            background-color:  #fff5f0;\n",
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              "            background-color:  #fff5f0;\n",
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              "            background-color:  #ffeee7;\n",
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              "            background-color:  #fee1d4;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff5f0;\n",
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              "            background-color:  #feeae0;\n",
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              "            background-color:  #fcbba1;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fee2d5;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fee7dc;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff5f0;\n",
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              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff5f0;\n",
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              "            background-color:  #fee7dc;\n",
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              "            background-color:  #fcaf93;\n",
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              "            background-color:  #fee9df;\n",
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              "            background-color:  #d01d1f;\n",
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              "            background-color:  #fff5f0;\n",
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              "            background-color:  #fcaf93;\n",
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              "            background-color:  #fff2eb;\n",
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              "            background-color:  #fff5f0;\n",
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              "            background-color:  #fff5f0;\n",
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              "            background-color:  #fff5f0;\n",
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              "            background-color:  #fff2eb;\n",
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              "            background-color:  #feeae0;\n",
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              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fcbba1;\n",
              "            color:  #000000;\n",
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              "            background-color:  #feeae0;\n",
              "            color:  #000000;\n",
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              "            background-color:  #ffeee7;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row22_col3 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
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              "            background-color:  #fcbba1;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row22_col5 {\n",
              "            background-color:  #ffeee7;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row23_col1 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row23_col2 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row23_col3 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row23_col4 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row23_col5 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row24_col1 {\n",
              "            background-color:  #fff0e8;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row24_col2 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row24_col3 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row24_col4 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row24_col5 {\n",
              "            background-color:  #fff0e8;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row25_col1 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row25_col2 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row25_col3 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row25_col4 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }    #T_54496f7e_702c_11ea_adbc_0242ac1c0002row25_col5 {\n",
              "            background-color:  #fff5f0;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Name of State / UT</th>        <th class=\"col_heading level0 col1\" >Total Confirmed cases (Indian National)</th>        <th class=\"col_heading level0 col2\" >Total Confirmed cases ( Foreign National )</th>        <th class=\"col_heading level0 col3\" >Cured</th>        <th class=\"col_heading level0 col4\" >Death</th>        <th class=\"col_heading level0 col5\" >Total cases</th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Andhra Pradesh</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row0_col1\" class=\"data row0 col1\" >12</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row0_col2\" class=\"data row0 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row0_col3\" class=\"data row0 col3\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row0_col4\" class=\"data row0 col4\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row0_col5\" class=\"data row0 col5\" >12</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Chhattisgarh</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row1_col1\" class=\"data row1 col1\" >6</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row1_col2\" class=\"data row1 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row1_col3\" class=\"data row1 col3\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row1_col4\" class=\"data row1 col4\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row1_col5\" class=\"data row1 col5\" >6</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Delhi</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row2_col1\" class=\"data row2 col1\" >38</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row2_col2\" class=\"data row2 col2\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row2_col3\" class=\"data row2 col3\" >6</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row2_col4\" class=\"data row2 col4\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row2_col5\" class=\"data row2 col5\" >39</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row3_col0\" class=\"data row3 col0\" >Gujarat</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row3_col1\" class=\"data row3 col1\" >43</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row3_col2\" class=\"data row3 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row3_col3\" class=\"data row3 col3\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row3_col4\" class=\"data row3 col4\" >3</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row3_col5\" class=\"data row3 col5\" >43</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row4_col0\" class=\"data row4 col0\" >Haryana</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row4_col1\" class=\"data row4 col1\" >16</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row4_col2\" class=\"data row4 col2\" >14</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row4_col3\" class=\"data row4 col3\" >11</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row4_col4\" class=\"data row4 col4\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row4_col5\" class=\"data row4 col5\" >30</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row5_col0\" class=\"data row5 col0\" >Himachal Pradesh</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row5_col1\" class=\"data row5 col1\" >4</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row5_col2\" class=\"data row5 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row5_col3\" class=\"data row5 col3\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row5_col4\" class=\"data row5 col4\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row5_col5\" class=\"data row5 col5\" >4</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row6_col0\" class=\"data row6 col0\" >Karnataka</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row6_col1\" class=\"data row6 col1\" >20</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row6_col2\" class=\"data row6 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row6_col3\" class=\"data row6 col3\" >3</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row6_col4\" class=\"data row6 col4\" >2</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row6_col5\" class=\"data row6 col5\" >20</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row7_col0\" class=\"data row7 col0\" >Kerala</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row7_col1\" class=\"data row7 col1\" >131</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row7_col2\" class=\"data row7 col2\" >7</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row7_col3\" class=\"data row7 col3\" >11</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row7_col4\" class=\"data row7 col4\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row7_col5\" class=\"data row7 col5\" >138</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row8_col0\" class=\"data row8 col0\" >Madhya Pradesh</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row8_col1\" class=\"data row8 col1\" >23</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row8_col2\" class=\"data row8 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row8_col3\" class=\"data row8 col3\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row8_col4\" class=\"data row8 col4\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row8_col5\" class=\"data row8 col5\" >23</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row9_col0\" class=\"data row9 col0\" >Maharashtra</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row9_col1\" class=\"data row9 col1\" >144</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row9_col2\" class=\"data row9 col2\" >3</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row9_col3\" class=\"data row9 col3\" >15</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row9_col4\" class=\"data row9 col4\" >4</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row9_col5\" class=\"data row9 col5\" >147</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row10_col0\" class=\"data row10 col0\" >Odisha</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row10_col1\" class=\"data row10 col1\" >3</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row10_col2\" class=\"data row10 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row10_col3\" class=\"data row10 col3\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row10_col4\" class=\"data row10 col4\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row10_col5\" class=\"data row10 col5\" >3</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row11_col0\" class=\"data row11 col0\" >Puducherry</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row11_col1\" class=\"data row11 col1\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row11_col2\" class=\"data row11 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row11_col3\" class=\"data row11 col3\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row11_col4\" class=\"data row11 col4\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row11_col5\" class=\"data row11 col5\" >1</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row12_col0\" class=\"data row12 col0\" >Punjab</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row12_col1\" class=\"data row12 col1\" >29</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row12_col2\" class=\"data row12 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row12_col3\" class=\"data row12 col3\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row12_col4\" class=\"data row12 col4\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row12_col5\" class=\"data row12 col5\" >29</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row13_col0\" class=\"data row13 col0\" >Rajasthan</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row13_col1\" class=\"data row13 col1\" >41</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row13_col2\" class=\"data row13 col2\" >2</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row13_col3\" class=\"data row13 col3\" >3</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row13_col4\" class=\"data row13 col4\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row13_col5\" class=\"data row13 col5\" >43</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row14_col0\" class=\"data row14 col0\" >Tamil Nadu</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row14_col1\" class=\"data row14 col1\" >32</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row14_col2\" class=\"data row14 col2\" >3</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row14_col3\" class=\"data row14 col3\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row14_col4\" class=\"data row14 col4\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row14_col5\" class=\"data row14 col5\" >35</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row15_col0\" class=\"data row15 col0\" >Telengana</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row15_col1\" class=\"data row15 col1\" >34</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row15_col2\" class=\"data row15 col2\" >11</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row15_col3\" class=\"data row15 col3\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row15_col4\" class=\"data row15 col4\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row15_col5\" class=\"data row15 col5\" >45</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row16_col0\" class=\"data row16 col0\" >Chandigarh</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row16_col1\" class=\"data row16 col1\" >7</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row16_col2\" class=\"data row16 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row16_col3\" class=\"data row16 col3\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row16_col4\" class=\"data row16 col4\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row16_col5\" class=\"data row16 col5\" >7</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row17_col0\" class=\"data row17 col0\" >Jammu and Kashmir</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row17_col1\" class=\"data row17 col1\" >18</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row17_col2\" class=\"data row17 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row17_col3\" class=\"data row17 col3\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row17_col4\" class=\"data row17 col4\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row17_col5\" class=\"data row17 col5\" >18</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row18_col0\" class=\"data row18 col0\" >Ladakh</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row18_col1\" class=\"data row18 col1\" >13</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row18_col2\" class=\"data row18 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row18_col3\" class=\"data row18 col3\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row18_col4\" class=\"data row18 col4\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row18_col5\" class=\"data row18 col5\" >13</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row19_col0\" class=\"data row19 col0\" >Uttar Pradesh</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row19_col1\" class=\"data row19 col1\" >42</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row19_col2\" class=\"data row19 col2\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row19_col3\" class=\"data row19 col3\" >11</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row19_col4\" class=\"data row19 col4\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row19_col5\" class=\"data row19 col5\" >43</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row20_col0\" class=\"data row20 col0\" >Uttarakhand</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row20_col1\" class=\"data row20 col1\" >4</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row20_col2\" class=\"data row20 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row20_col3\" class=\"data row20 col3\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row20_col4\" class=\"data row20 col4\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row20_col5\" class=\"data row20 col5\" >4</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row21_col0\" class=\"data row21 col0\" >West Bengal</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row21_col1\" class=\"data row21 col1\" >11</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row21_col2\" class=\"data row21 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row21_col3\" class=\"data row21 col3\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row21_col4\" class=\"data row21 col4\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row21_col5\" class=\"data row21 col5\" >11</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row22_col0\" class=\"data row22 col0\" >Bihar</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row22_col1\" class=\"data row22 col1\" >7</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row22_col2\" class=\"data row22 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row22_col3\" class=\"data row22 col3\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row22_col4\" class=\"data row22 col4\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row22_col5\" class=\"data row22 col5\" >7</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row23\" class=\"row_heading level0 row23\" >23</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row23_col0\" class=\"data row23 col0\" >Mizoram</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row23_col1\" class=\"data row23 col1\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row23_col2\" class=\"data row23 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row23_col3\" class=\"data row23 col3\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row23_col4\" class=\"data row23 col4\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row23_col5\" class=\"data row23 col5\" >1</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row24\" class=\"row_heading level0 row24\" >24</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row24_col0\" class=\"data row24 col0\" >Goa</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row24_col1\" class=\"data row24 col1\" >6</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row24_col2\" class=\"data row24 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row24_col3\" class=\"data row24 col3\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row24_col4\" class=\"data row24 col4\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row24_col5\" class=\"data row24 col5\" >6</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002level0_row25\" class=\"row_heading level0 row25\" >25</th>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row25_col0\" class=\"data row25 col0\" >Manipur</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row25_col1\" class=\"data row25 col1\" >1</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row25_col2\" class=\"data row25 col2\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row25_col3\" class=\"data row25 col3\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row25_col4\" class=\"data row25 col4\" >0</td>\n",
              "                        <td id=\"T_54496f7e_702c_11ea_adbc_0242ac1c0002row25_col5\" class=\"data row25 col5\" >1</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f530b9f4a58>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QK8twoYRsInE",
        "colab_type": "text"
      },
      "source": [
        "# TOTAL ACTIVE CASES"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T2jy5b8ssMYu",
        "colab_type": "code",
        "outputId": "5779030a-d6cf-40e2-aa81-8b689fe7d5d8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 615
        }
      },
      "source": [
        "df['Total Active'] = df['Total cases'] - (df['Death'] + df['Cured'])\n",
        "total_active = df['Total Active'].sum()\n",
        "print('Total number of active COVID 2019 cases across India:', total_active)\n",
        "Tot_Cases = df.groupby('Name of State / UT')['Total Active'].sum().sort_values(ascending=False).to_frame()\n",
        "Tot_Cases.style.background_gradient(cmap='Reds')"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Total number of active COVID 2019 cases across India: 648\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
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              "            color:  #000000;\n",
              "        }</style><table id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Total Active</th>    </tr>    <tr>        <th class=\"index_name level0\" >Name of State / UT</th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Maharashtra</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row0_col0\" class=\"data row0 col0\" >128</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Kerala</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row1_col0\" class=\"data row1 col0\" >127</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Telengana</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row2_col0\" class=\"data row2 col0\" >44</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Rajasthan</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row3_col0\" class=\"data row3 col0\" >40</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >Gujarat</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row4_col0\" class=\"data row4 col0\" >40</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >Tamil Nadu</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row5_col0\" class=\"data row5 col0\" >33</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >Uttar Pradesh</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row6_col0\" class=\"data row6 col0\" >32</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >Delhi</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row7_col0\" class=\"data row7 col0\" >32</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >Punjab</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row8_col0\" class=\"data row8 col0\" >28</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >Madhya Pradesh</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row9_col0\" class=\"data row9 col0\" >22</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >Haryana</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row10_col0\" class=\"data row10 col0\" >19</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >Jammu and Kashmir</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row11_col0\" class=\"data row11 col0\" >16</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row12\" class=\"row_heading level0 row12\" >Karnataka</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row12_col0\" class=\"data row12 col0\" >15</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row13\" class=\"row_heading level0 row13\" >Ladakh</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row13_col0\" class=\"data row13 col0\" >13</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row14\" class=\"row_heading level0 row14\" >Andhra Pradesh</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row14_col0\" class=\"data row14 col0\" >11</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row15\" class=\"row_heading level0 row15\" >West Bengal</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row15_col0\" class=\"data row15 col0\" >10</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row16\" class=\"row_heading level0 row16\" >Chandigarh</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row16_col0\" class=\"data row16 col0\" >7</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row17\" class=\"row_heading level0 row17\" >Goa</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row17_col0\" class=\"data row17 col0\" >6</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row18\" class=\"row_heading level0 row18\" >Chhattisgarh</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row18_col0\" class=\"data row18 col0\" >6</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row19\" class=\"row_heading level0 row19\" >Bihar</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row19_col0\" class=\"data row19 col0\" >6</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row20\" class=\"row_heading level0 row20\" >Uttarakhand</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row20_col0\" class=\"data row20 col0\" >4</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row21\" class=\"row_heading level0 row21\" >Himachal Pradesh</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row21_col0\" class=\"data row21 col0\" >3</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row22\" class=\"row_heading level0 row22\" >Odisha</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row22_col0\" class=\"data row22 col0\" >3</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row23\" class=\"row_heading level0 row23\" >Manipur</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row23_col0\" class=\"data row23 col0\" >1</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row24\" class=\"row_heading level0 row24\" >Mizoram</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row24_col0\" class=\"data row24 col0\" >1</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002level0_row25\" class=\"row_heading level0 row25\" >Puducherry</th>\n",
              "                        <td id=\"T_563dc0fa_702c_11ea_adbc_0242ac1c0002row25_col0\" class=\"data row25 col0\" >1</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f530b914e80>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rEZnlqIDsUWp",
        "colab_type": "text"
      },
      "source": [
        "# VISUALISING THE SPREADS GEOGRAPHICALLY"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c36GhMUpsOA3",
        "colab_type": "code",
        "outputId": "b347c3eb-0274-4b9c-efe8-4c2f3df30fb4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 712
        }
      },
      "source": [
        "df_full = pd.merge(India_coord,df,on='Name of State / UT')\n",
        "map = folium.Map(location=[20, 70], zoom_start=4,tiles='Stamenterrain')\n",
        "\n",
        "for lat, lon, value, name in zip(df_full['Latitude'], df_full['Longitude'], df_full['Total cases'], df_full['Name of State / UT']):\n",
        "    folium.CircleMarker([lat, lon], radius=value*0.8, popup = ('<strong>State</strong>: ' + str(name).capitalize() + '<br>''<strong>Total Cases</strong>: ' + str(value) + '<br>'),color='red',fill_color='red',fill_opacity=0.3 ).add_to(map)\n",
        "map"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    <script>L_PREFER_CANVAS=false; L_NO_TOUCH=false; L_DISABLE_3D=false;</script>
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.4.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.4.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
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    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
    <meta name="viewport" content="width=device-width,
        initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
    <style>#map_e06bf23db95549f5a185ccb58b8aa6cf {
        position: relative;
        width: 100.0%;
        height: 100.0%;
        left: 0.0%;
        top: 0.0%;
        }
    </style>
</head>
<body>    
    
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</body>
<script>    
    
    
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        'map_e06bf23db95549f5a185ccb58b8aa6cf', {
        center: [20, 70],
        zoom: 4,
        maxBounds: bounds,
        layers: [],
        worldCopyJump: false,
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        zoomControl: true,
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        "attribution": null,
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        "maxZoom": 18,
        "minZoom": 0,
        "noWrap": false,
        "opacity": 1,
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        "tms": false
}).addTo(map_e06bf23db95549f5a185ccb58b8aa6cf);
    
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                {
  "bubblingMouseEvents": true,
  "color": "red",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
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  "radius": 9.600000000000001,
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}
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            ;

            
        
    
            var circle_marker_9648f084d39442deadd69c50c8958539 = L.circleMarker(
                [28.6699929, 77.23000403],
                {
  "bubblingMouseEvents": true,
  "color": "red",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "red",
  "fillOpacity": 0.3,
  "fillRule": "evenodd",
  "lineCap": "round",
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  "opacity": 1.0,
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            var popup_fb63cfeb215e40e1ab987943234344c4 = L.popup({maxWidth: '100%'
            
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  "bubblingMouseEvents": true,
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  "fillColor": "red",
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}
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            ;

            
        
    
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                [8.900372741, 76.56999263],
                {
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  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "red",
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  "lineCap": "round",
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  "radius": 110.4,
  "stroke": true,
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}
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                .addTo(map_e06bf23db95549f5a185ccb58b8aa6cf);
            
    
            var popup_bae729054f404bb0be78e7e48eaaa2c5 = L.popup({maxWidth: '100%'
            
            });

            
                var html_41a391d7f007497ba7014fea9442ce41 = $(`<div id="html_41a391d7f007497ba7014fea9442ce41" style="width: 100.0%; height: 100.0%;"><strong>State</strong>: Kerala<br><strong>Total Cases</strong>: 138<br></div>`)[0];
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            circle_marker_84ca25f7655b4e5d89fc9e3a66376a67.bindPopup(popup_bae729054f404bb0be78e7e48eaaa2c5)
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  "fillColor": "red",
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}
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            var popup_c2d5c2cd131f465488b053d4fd9c8264 = L.popup({maxWidth: '100%'
            
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            circle_marker_e3618a69345a437d8c01793c2fcf6c38.bindPopup(popup_c2d5c2cd131f465488b053d4fd9c8264)
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                .addTo(map_e06bf23db95549f5a185ccb58b8aa6cf);
            
    
            var popup_e142cb829ffd4ae49dabd4c2d2a6e7fa = L.popup({maxWidth: '100%'
            
            });

            
                var html_39f62c5199114a5fb6c2bb51f6dd7ea2 = $(`<div id="html_39f62c5199114a5fb6c2bb51f6dd7ea2" style="width: 100.0%; height: 100.0%;"><strong>State</strong>: Uttarakhand<br><strong>Total Cases</strong>: 4<br></div>`)[0];
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            circle_marker_3f5ef5e25a824d84b2c59482d75389fc.bindPopup(popup_e142cb829ffd4ae49dabd4c2d2a6e7fa)
            ;

            
        
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
            ],
            "text/plain": [
              "<folium.folium.Map at 0x7f530b9142b0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qws2vnh2sshS",
        "colab_type": "code",
        "outputId": "41bf6ed5-f1ff-41af-8091-94ac4ef24b6d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 497
        }
      },
      "source": [
        "f, ax = plt.subplots(figsize=(12, 8))\n",
        "data = df_full[['Name of State / UT','Total cases','Cured','Death']]\n",
        "data.sort_values('Total cases',ascending=False,inplace=True)\n",
        "sns.set_color_codes(\"pastel\")\n",
        "sns.barplot(x=\"Total cases\", y=\"Name of State / UT\", data=data,label=\"Total\", color=\"red\")\n",
        "sns.set_color_codes(\"muted\")\n",
        "sns.barplot(x=\"Cured\", y=\"Name of State / UT\", data=data, label=\"Cured\", color=\"green\")\n",
        "ax.legend(ncol=2, loc=\"lower right\", frameon=True)\n",
        "ax.set(xlim=(0, 35), ylabel=\"\",xlabel=\"Cases\")\n",
        "sns.despine(left=True, bottom=True)"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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me16SPTr2nZxkp6085qlJbk2yPMnqJC/fyv7WJHn8FrT7TpK5W3NsSZIkaTwYyxWEecAe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\ngCBJkiSpZUCQJEm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            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BNz4atGAukXR",
        "colab_type": "text"
      },
      "source": [
        "## How Corona Virus is Rising"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nFcx84gguFZX",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import plotly\n",
        "plotly.io.renderers.default = 'colab'"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZpbVzcxouq65",
        "colab_type": "code",
        "outputId": "807806bc-a9ec-43bc-9f9c-4a41082a45ff",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 942
        }
      },
      "source": [
        "fig = go.Figure()\n",
        "fig.add_trace(go.Scatter(x=dbd_India['Date'], y = dbd_India['Total Cases'], mode='lines+markers',name='Total Cases'))\n",
        "fig.update_layout(title_text='Trend of Coronavirus Cases in India (Cumulative cases)',plot_bgcolor='rgb(230, 230, 230)')\n",
        "fig.show()\n",
        "# New COVID-19 cases reported daily in India\n",
        "import plotly.express as px\n",
        "fig = px.bar(dbd_India, x=\"Date\", y=\"New Cases\", barmode='group', height=400)\n",
        "fig.update_layout(title_text='Coronavirus Cases in India on daily basis',plot_bgcolor='rgb(230, 230, 230)')\n",
        "fig.show()"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
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              "<head><meta charset=\"utf-8\" /></head>\n",
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              "        <script src=\"https://cdn.plot.ly/plotly-latest.min.js\"></script>    \n",
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\"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Coronavirus Cases in India on daily basis\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Date\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"New Cases\"}}},\n",
              "                        {\"responsive\": true}\n",
              "                    ).then(function(){\n",
              "                            \n",
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              "var x = new MutationObserver(function (mutations, observer) {{\n",
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              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
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              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
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              "\n",
              "                        })\n",
              "                };\n",
              "                \n",
              "            </script>\n",
              "        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "umkdXn6BvFj5",
        "colab_type": "text"
      },
      "source": [
        "# Cumulative cases in India,S.korea,Wuhan,Italy"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4LaIqt_xuv9z",
        "colab_type": "code",
        "outputId": "dbebacbe-17c2-4df9-f2bb-3f6114bbc9e8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "fig = px.bar(dbd_India, x=\"Date\", y=\"Total Cases\", color='Total Cases', orientation='v', height=600,\n",
        "             title='Confirmed Cases in India', color_discrete_sequence = px.colors.cyclical.IceFire)\n",
        "\n",
        "'''Colour Scale for plotly\n",
        "https://plot.ly/python/builtin-colorscales/\n",
        "'''\n",
        "\n",
        "fig.update_layout(plot_bgcolor='rgb(230, 230, 230)')\n",
        "fig.show()\n",
        "\n",
        "fig = px.bar(dbd_Italy, x=\"Date\", y=\"Total Cases\", color='Total Cases', orientation='v', height=600,\n",
        "             title='Confirmed Cases in Italy', color_discrete_sequence = px.colors.cyclical.IceFire)\n",
        "\n",
        "fig.update_layout(plot_bgcolor='rgb(230, 230, 230)')\n",
        "fig.show()\n",
        "\n",
        "fig = px.bar(dbd_Korea, x=\"Date\", y=\"Total Cases\", color='Total Cases', orientation='v', height=600,\n",
        "             title='Confirmed Cases in South Korea', color_discrete_sequence = px.colors.cyclical.IceFire)\n",
        "\n",
        "fig.update_layout(plot_bgcolor='rgb(230, 230, 230)')\n",
        "fig.show()\n",
        "fig = px.bar(dbd_Wuhan, x=\"Date\", y=\"Total Cases\", color='Total Cases', orientation='v', height=600,\n",
        "             title='Confirmed Cases in Wuhan', color_discrete_sequence = px.colors.cyclical.IceFire)\n",
        "\n",
        "fig.update_layout(plot_bgcolor='rgb(230, 230, 230)')\n",
        "fig.show()"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
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              "                    window.PLOTLYENV=window.PLOTLYENV || {};\n",
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\"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Confirmed Cases in Wuhan\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Date\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Total Cases\"}}},\n",
              "                        {\"responsive\": true}\n",
              "                    ).then(function(){\n",
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              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
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              "    x.observe(notebookContainer, {childList: true});\n",
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              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })\n",
              "                };\n",
              "                \n",
              "            </script>\n",
              "        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_i82w4_7vRXO",
        "colab_type": "code",
        "outputId": "c217166e-4dad-4d7f-fb41-665e776ffeac",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        }
      },
      "source": [
        "from plotly.subplots import make_subplots\n",
        "\n",
        "fig = make_subplots(\n",
        "    rows=2, cols=2,\n",
        "    specs=[[{}, {}],\n",
        "           [{\"colspan\": 2}, None]],\n",
        "    subplot_titles=(\"S.Korea\",\"Italy\", \"India\",\"Wuhan\"))\n",
        "\n",
        "fig.add_trace(go.Bar(x=dbd_Korea['Date'], y=dbd_Korea['Total Cases'],\n",
        "                    marker=dict(color=dbd_Korea['Total Cases'], coloraxis=\"coloraxis\")),1, 1)\n",
        "\n",
        "fig.add_trace(go.Bar(x=dbd_Italy['Date'], y=dbd_Italy['Total Cases'],\n",
        "                    marker=dict(color=dbd_Italy['Total Cases'], coloraxis=\"coloraxis\")),1, 2)\n",
        "\n",
        "fig.add_trace(go.Bar(x=dbd_India['Date'], y=dbd_India['Total Cases'],\n",
        "                    marker=dict(color=dbd_India['Total Cases'], coloraxis=\"coloraxis\")),2, 1)\n",
        "\n",
        "fig.update_layout(coloraxis=dict(colorscale='Bluered_r'), showlegend=False,title_text=\"Total Confirmed cases(Cumulative)\")\n",
        "\n",
        "fig.update_layout(plot_bgcolor='rgb(230, 230, 230)')\n",
        "fig.show()"
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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\"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Total Confirmed cases(Cumulative)\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 0.45]}, \"xaxis2\": {\"anchor\": \"y2\", \"domain\": [0.55, 1.0]}, \"xaxis3\": {\"anchor\": \"y3\", \"domain\": [0.0, 1.0]}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.625, 1.0]}, \"yaxis2\": {\"anchor\": \"x2\", \"domain\": [0.625, 1.0]}, \"yaxis3\": {\"anchor\": \"x3\", \"domain\": [0.0, 0.375]}},\n",
              "                        {\"responsive\": true}\n",
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              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
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              "}});\n",
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              "        </div>\n",
              "</body>\n",
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            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Mn9ziA5Uvnls",
        "colab_type": "code",
        "outputId": "2738ddbd-9c7a-4348-c1f4-3023ffa8a2e4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        }
      },
      "source": [
        "from plotly.subplots import make_subplots\n",
        "fig = make_subplots(rows=2, cols=2, specs=[[{}, {}], [{\"colspan\": 2}, None]], subplot_titles=(\"S.Korea\",\"Italy\", \"India\"))\n",
        "fig.add_trace(go.Scatter(x=dbd_Korea['Date'], y=dbd_Korea['Total Cases'], marker=dict(color=dbd_Korea['Total Cases'], coloraxis=\"coloraxis\")), 1, 1)\n",
        "fig.add_trace(go.Scatter(x=dbd_Italy['Date'], y=dbd_Italy['Total Cases'], marker=dict(color=dbd_Italy['Total Cases'], coloraxis=\"coloraxis\")), 1, 2)\n",
        "fig.add_trace(go.Scatter(x=dbd_India['Date'], y=dbd_India['Total Cases'], marker=dict(color=dbd_India['Total Cases'], coloraxis=\"coloraxis\")), 2, 1)\n",
        "fig.update_layout(coloraxis=dict(colorscale='Bluered_r'), showlegend=False,title_text=\"Trend of Coronavirus cases\")\n",
        "fig.update_layout(plot_bgcolor='rgb(250, 242, 242)')\n",
        "fig.show()"
      ],
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wIaUiXagwLIT",
        "colab_type": "text"
      },
      "source": [
        "## Worldwide Coronavirus"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aC03BUqMvzpz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df = pd.read_csv('covid_19_data.csv',parse_dates=['Last Update'])\n",
        "df.rename(columns={'ObservationDate':'Date', 'Country/Region':'Country'}, inplace=True)\n",
        "df_confirmed = pd.read_csv(\"time_series_covid_19_confirmed.csv\")\n",
        "df_recovered = pd.read_csv(\"time_series_covid_19_recovered.csv\")\n",
        "df_deaths = pd.read_csv(\"time_series_covid_19_deaths.csv\")\n",
        "df_confirmed.rename(columns={'Country/Region':'Country'}, inplace=True)\n",
        "df_recovered.rename(columns={'Country/Region':'Country'}, inplace=True)\n",
        "df_deaths.rename(columns={'Country/Region':'Country'}, inplace=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
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        "colab_type": "code",
        "outputId": "74f45193-cb52-4103-9c09-2c8713c7ca09",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 222
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      },
      "source": [
        "df_deaths.head()"
      ],
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
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              "      <th>Province/State</th>\n",
              "      <th>Country</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",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Thailand</td>\n",
              "      <td>15.0000</td>\n",
              "      <td>101.0000</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <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>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>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Japan</td>\n",
              "      <td>36.0000</td>\n",
              "      <td>138.0000</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",
              "      <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",
              "      <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>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>4</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>6</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>15</td>\n",
              "      <td>16</td>\n",
              "      <td>19</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Singapore</td>\n",
              "      <td>1.2833</td>\n",
              "      <td>103.8333</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",
              "      <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",
              "      <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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Nepal</td>\n",
              "      <td>28.1667</td>\n",
              "      <td>84.2500</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",
              "      <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",
              "      <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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Malaysia</td>\n",
              "      <td>2.5000</td>\n",
              "      <td>112.5000</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>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Province/State    Country      Lat  ...  3/12/20  3/13/20  3/14/20\n",
              "0            NaN   Thailand  15.0000  ...        1        1        1\n",
              "1            NaN      Japan  36.0000  ...       16       19       22\n",
              "2            NaN  Singapore   1.2833  ...        0        0        0\n",
              "3            NaN      Nepal  28.1667  ...        0        0        0\n",
              "4            NaN   Malaysia   2.5000  ...        0        0        0\n",
              "\n",
              "[5 rows x 57 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wZAqUwGewdtI",
        "colab_type": "code",
        "outputId": "c561fa4a-1709-4fe9-9fac-14fba4b81ba3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 202
        }
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 55,
      "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",
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              "\n",
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              "    }\n",
              "\n",
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              "        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>SNo</th>\n",
              "      <th>Date</th>\n",
              "      <th>Province/State</th>\n",
              "      <th>Country</th>\n",
              "      <th>Last Update</th>\n",
              "      <th>Confirmed</th>\n",
              "      <th>Deaths</th>\n",
              "      <th>Recovered</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>01/22/2020</td>\n",
              "      <td>Anhui</td>\n",
              "      <td>Mainland China</td>\n",
              "      <td>2020-01-22 17:00:00</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>01/22/2020</td>\n",
              "      <td>Beijing</td>\n",
              "      <td>Mainland China</td>\n",
              "      <td>2020-01-22 17:00:00</td>\n",
              "      <td>14.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>01/22/2020</td>\n",
              "      <td>Chongqing</td>\n",
              "      <td>Mainland China</td>\n",
              "      <td>2020-01-22 17:00:00</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>01/22/2020</td>\n",
              "      <td>Fujian</td>\n",
              "      <td>Mainland China</td>\n",
              "      <td>2020-01-22 17:00:00</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>01/22/2020</td>\n",
              "      <td>Gansu</td>\n",
              "      <td>Mainland China</td>\n",
              "      <td>2020-01-22 17:00:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   SNo        Date Province/State  ... Confirmed Deaths  Recovered\n",
              "0    1  01/22/2020          Anhui  ...       1.0    0.0        0.0\n",
              "1    2  01/22/2020        Beijing  ...      14.0    0.0        0.0\n",
              "2    3  01/22/2020      Chongqing  ...       6.0    0.0        0.0\n",
              "3    4  01/22/2020         Fujian  ...       1.0    0.0        0.0\n",
              "4    5  01/22/2020          Gansu  ...       0.0    0.0        0.0\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WNLU4858whJT",
        "colab_type": "code",
        "outputId": "2dd9528c-1d6e-4c36-93ab-2b8064a820a5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 202
        }
      },
      "source": [
        "df2 = df.groupby([\"Date\", \"Country\", \"Province/State\"])[['SNo', 'Date', 'Province/State', 'Country', 'Confirmed', 'Deaths', 'Recovered']].sum().reset_index()\n",
        "df2.head()"
      ],
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\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>Date</th>\n",
              "      <th>Country</th>\n",
              "      <th>Province/State</th>\n",
              "      <th>SNo</th>\n",
              "      <th>Confirmed</th>\n",
              "      <th>Deaths</th>\n",
              "      <th>Recovered</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>01/22/2020</td>\n",
              "      <td>Hong Kong</td>\n",
              "      <td>Hong Kong</td>\n",
              "      <td>13</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>01/22/2020</td>\n",
              "      <td>Macau</td>\n",
              "      <td>Macau</td>\n",
              "      <td>21</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>01/22/2020</td>\n",
              "      <td>Mainland China</td>\n",
              "      <td>Anhui</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>01/22/2020</td>\n",
              "      <td>Mainland China</td>\n",
              "      <td>Beijing</td>\n",
              "      <td>2</td>\n",
              "      <td>14.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>01/22/2020</td>\n",
              "      <td>Mainland China</td>\n",
              "      <td>Chongqing</td>\n",
              "      <td>3</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         Date         Country Province/State  SNo  Confirmed  Deaths  Recovered\n",
              "0  01/22/2020       Hong Kong      Hong Kong   13        0.0     0.0        0.0\n",
              "1  01/22/2020           Macau          Macau   21        1.0     0.0        0.0\n",
              "2  01/22/2020  Mainland China          Anhui    1        1.0     0.0        0.0\n",
              "3  01/22/2020  Mainland China        Beijing    2       14.0     0.0        0.0\n",
              "4  01/22/2020  Mainland China      Chongqing    3        6.0     0.0        0.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LuFrF0OMw33M",
        "colab_type": "code",
        "outputId": "d7f95569-9e31-478c-9634-a7d9c62770d6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 662
        }
      },
      "source": [
        "df.query('Country==\"India\"').groupby(\"Last Update\")[['Confirmed', 'Deaths', 'Recovered']].sum().reset_index()"
      ],
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        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>Last Update</th>\n",
              "      <th>Confirmed</th>\n",
              "      <th>Deaths</th>\n",
              "      <th>Recovered</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2020-01-30 16:00:00</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2020-01-31 08:15:00</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2020-01-31 23:59:00</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2020-02-02 06:03:08</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2020-02-03 21:43:02</td>\n",
              "      <td>30.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2020-02-13 18:53:02</td>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>2020-02-16 07:43:02</td>\n",
              "      <td>45.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>2020-03-02 22:33:09</td>\n",
              "      <td>10.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2020-03-04 12:33:03</td>\n",
              "      <td>28.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>2020-03-05 13:53:03</td>\n",
              "      <td>30.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>2020-03-06 13:03:12</td>\n",
              "      <td>31.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>2020-03-07 18:13:27</td>\n",
              "      <td>34.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>2020-03-08 09:23:05</td>\n",
              "      <td>39.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>2020-03-09 09:13:17</td>\n",
              "      <td>43.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>2020-03-10 10:13:28</td>\n",
              "      <td>56.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>2020-03-11 20:00:00</td>\n",
              "      <td>82.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>2020-03-11 22:13:12</td>\n",
              "      <td>62.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>2020-03-12 08:33:13</td>\n",
              "      <td>73.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>2020-03-14 20:33:03</td>\n",
              "      <td>102.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>2020-03-15 18:20:18</td>\n",
              "      <td>113.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>13.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           Last Update  Confirmed  Deaths  Recovered\n",
              "0  2020-01-30 16:00:00        1.0     0.0        0.0\n",
              "1  2020-01-31 08:15:00        1.0     0.0        0.0\n",
              "2  2020-01-31 23:59:00        1.0     0.0        0.0\n",
              "3  2020-02-02 06:03:08        2.0     0.0        0.0\n",
              "4  2020-02-03 21:43:02       30.0     0.0        0.0\n",
              "5  2020-02-13 18:53:02        9.0     0.0        0.0\n",
              "6  2020-02-16 07:43:02       45.0     0.0       45.0\n",
              "7  2020-03-02 22:33:09       10.0     0.0        6.0\n",
              "8  2020-03-04 12:33:03       28.0     0.0        3.0\n",
              "9  2020-03-05 13:53:03       30.0     0.0        3.0\n",
              "10 2020-03-06 13:03:12       31.0     0.0        3.0\n",
              "11 2020-03-07 18:13:27       34.0     0.0        3.0\n",
              "12 2020-03-08 09:23:05       39.0     0.0        3.0\n",
              "13 2020-03-09 09:13:17       43.0     0.0        3.0\n",
              "14 2020-03-10 10:13:28       56.0     0.0        4.0\n",
              "15 2020-03-11 20:00:00       82.0     2.0        4.0\n",
              "16 2020-03-11 22:13:12       62.0     1.0        4.0\n",
              "17 2020-03-12 08:33:13       73.0     1.0        4.0\n",
              "18 2020-03-14 20:33:03      102.0     2.0        4.0\n",
              "19 2020-03-15 18:20:18      113.0     2.0       13.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uCO83i25xDRQ",
        "colab_type": "code",
        "outputId": "ececc492-2fe9-4a43-9c42-263e4c1d94b2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 233
        }
      },
      "source": [
        "#Overall worldwide Confirmed/ Deaths/ Recovered cases \n",
        "df.groupby('Date').sum().head()"
      ],
      "execution_count": 58,
      "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",
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              "\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>SNo</th>\n",
              "      <th>Confirmed</th>\n",
              "      <th>Deaths</th>\n",
              "      <th>Recovered</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>01/22/2020</th>\n",
              "      <td>741</td>\n",
              "      <td>555.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>28.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>01/23/2020</th>\n",
              "      <td>2829</td>\n",
              "      <td>653.0</td>\n",
              "      <td>18.0</td>\n",
              "      <td>30.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>01/24/2020</th>\n",
              "      <td>4305</td>\n",
              "      <td>941.0</td>\n",
              "      <td>26.0</td>\n",
              "      <td>36.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>01/25/2020</th>\n",
              "      <td>6490</td>\n",
              "      <td>1438.0</td>\n",
              "      <td>42.0</td>\n",
              "      <td>39.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>01/26/2020</th>\n",
              "      <td>9071</td>\n",
              "      <td>2118.0</td>\n",
              "      <td>56.0</td>\n",
              "      <td>52.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             SNo  Confirmed  Deaths  Recovered\n",
              "Date                                          \n",
              "01/22/2020   741      555.0    17.0       28.0\n",
              "01/23/2020  2829      653.0    18.0       30.0\n",
              "01/24/2020  4305      941.0    26.0       36.0\n",
              "01/25/2020  6490     1438.0    42.0       39.0\n",
              "01/26/2020  9071     2118.0    56.0       52.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DyV1WOzUxoHR",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "confirmed = df.groupby('Date').sum()['Confirmed'].reset_index()\n",
        "deaths = df.groupby('Date').sum()['Deaths'].reset_index()\n",
        "recovered = df.groupby('Date').sum()['Recovered'].reset_index()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "arMoIApzx_6U",
        "colab_type": "code",
        "outputId": "7d6b77b5-37c6-4ae6-8748-2a8b12654ce0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        }
      },
      "source": [
        "fig = go.Figure()\n",
        "fig.add_trace(go.Scatter(x=confirmed['Date'], y=confirmed['Confirmed'], mode='lines+markers', name='Confirmed',line=dict(color='blue', width=2)))\n",
        "fig.add_trace(go.Scatter(x=deaths['Date'], y=deaths['Deaths'], mode='lines+markers', name='Deaths', line=dict(color='Red', width=2)))\n",
        "fig.add_trace(go.Scatter(x=recovered['Date'], y=recovered['Recovered'], mode='lines+markers', name='Recovered', line=dict(color='Green', width=2)))\n",
        "fig.update_layout(title='Worldwide NCOVID-19 Cases', xaxis_tickfont_size=14,yaxis=dict(title='Number of Cases'))\n",
        "fig.show()"
      ],
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "display_data",
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          "metadata": {
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    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3j3RY-a5yFMA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df_confirmed = df_confirmed[[\"Province/State\",\"Lat\",\"Long\",\"Country\"]]\n",
        "df_temp = df.copy()\n",
        "df_temp['Country'].replace({'Mainland China': 'China'}, inplace=True)\n",
        "df_latlong = pd.merge(df_temp, df_confirmed, on=[\"Country\", \"Province/State\"])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
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        "colab_type": "code",
        "outputId": "6bfcec06-0a1d-417c-93b4-adca991b9fbf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 717
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      },
      "source": [
        "fig = px.density_mapbox(df_latlong, lat=\"Lat\", lon=\"Long\", hover_name=\"Province/State\", hover_data=[\"Confirmed\",\"Deaths\",\"Recovered\"], animation_frame=\"Date\", color_continuous_scale=\"Portland\", radius=7, zoom=0,height=700)\n",
        "fig.update_layout(title='Worldwide Corona Virus Cases Time Lapse - Confirmed, Deaths, Recovered')\n",
        "fig.update_layout(mapbox_style=\"open-street-map\", mapbox_center_lon=0)\n",
        "fig.update_layout(margin={\"r\":0,\"t\":0,\"l\":0,\"b\":0})\n",
        "fig.show()"
      ],
      "execution_count": 62,
      "outputs": [
        {
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          "metadata": {
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      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TNaAAq8IytEL",
        "colab_type": "text"
      },
      "source": [
        "# Forecasting Using fbprophet"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZwU0svswyMRK",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from fbprophet import Prophet"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u3SgHouUyyAx",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "confirmed = df.groupby('Date').sum()['Confirmed'].reset_index()\n",
        "deaths = df.groupby('Date').sum()['Deaths'].reset_index()\n",
        "recovered = df.groupby('Date').sum()['Recovered'].reset_index()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q1xl39Sly0Wl",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "confirmed.columns = ['ds','y']\n",
        "confirmed['ds'] = pd.to_datetime(confirmed['ds'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PjwhzehRy4Ls",
        "colab_type": "code",
        "outputId": "74652412-c747-4097-8089-3d40b1abf514",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        }
      },
      "source": [
        "m = Prophet(interval_width=0.95)\n",
        "m.fit(confirmed)\n",
        "future = m.make_future_dataframe(periods=7)\n",
        "future.tail()"
      ],
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "INFO:fbprophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n",
            "INFO:fbprophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ds</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>2020-03-18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>2020-03-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>2020-03-20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>2020-03-21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <td>2020-03-22</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           ds\n",
              "56 2020-03-18\n",
              "57 2020-03-19\n",
              "58 2020-03-20\n",
              "59 2020-03-21\n",
              "60 2020-03-22"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 66
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8ZZeP7XHy7wA",
        "colab_type": "code",
        "outputId": "cf16d067-4fbc-4a4f-e4ee-d443cc24eada",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 202
        }
      },
      "source": [
        "forecast = m.predict(future)\n",
        "forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail()"
      ],
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\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>ds</th>\n",
              "      <th>yhat</th>\n",
              "      <th>yhat_lower</th>\n",
              "      <th>yhat_upper</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>2020-03-18</td>\n",
              "      <td>148703.893314</td>\n",
              "      <td>134210.632400</td>\n",
              "      <td>164062.475218</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>2020-03-19</td>\n",
              "      <td>152585.478705</td>\n",
              "      <td>136422.583032</td>\n",
              "      <td>168767.452908</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>2020-03-20</td>\n",
              "      <td>157365.812683</td>\n",
              "      <td>142931.942334</td>\n",
              "      <td>173103.684221</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>2020-03-21</td>\n",
              "      <td>161049.269158</td>\n",
              "      <td>145533.879536</td>\n",
              "      <td>175947.243440</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <td>2020-03-22</td>\n",
              "      <td>165066.852886</td>\n",
              "      <td>149346.895127</td>\n",
              "      <td>178953.210358</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           ds           yhat     yhat_lower     yhat_upper\n",
              "56 2020-03-18  148703.893314  134210.632400  164062.475218\n",
              "57 2020-03-19  152585.478705  136422.583032  168767.452908\n",
              "58 2020-03-20  157365.812683  142931.942334  173103.684221\n",
              "59 2020-03-21  161049.269158  145533.879536  175947.243440\n",
              "60 2020-03-22  165066.852886  149346.895127  178953.210358"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZBNG46AQzF6m",
        "colab_type": "code",
        "outputId": "24522cb5-c2a4-47e9-f19d-ec05ceceddce",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        }
      },
      "source": [
        "confirmed_forecast_plot = m.plot(forecast)"
      ],
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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OM2OclzkVPkpyPcwq9/G56hIunFzItJIcjA9atXUNxAnHk0QSSToHYgDMn1DA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\nx5Xu4ZyxN5p6WPVKA12hOLc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BTNOixOvK2M14iaTJ45sP8ujmg+S4HNxz+VlcObP0qKC5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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4nr4H1VmzJVk",
        "colab_type": "code",
        "outputId": "b0cd5883-e2f0-4f1c-a4c7-ca4f7ecb8d6f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        }
      },
      "source": [
        "confirmed_forecast_plot =m.plot_components(forecast)"
      ],
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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YvHgxDQ0NZGVlAS2NIL///e/529/+xs9//nO6du1Kly5d+P3vf4/VagXg2Wef5e677+bM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\nflkZTQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 648x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4Vye3rIEzT8f",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "deaths.columns = ['ds','y']\n",
        "deaths['ds'] = pd.to_datetime(deaths['ds'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xnxImX3S0Fd5",
        "colab_type": "code",
        "outputId": "b4ad3c2c-3894-43e8-b41a-3d198c9919ac",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        }
      },
      "source": [
        "m = Prophet(interval_width=0.95)\n",
        "m.fit(deaths)\n",
        "future = m.make_future_dataframe(periods=7)\n",
        "future.tail()"
      ],
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "INFO:fbprophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n",
            "INFO:fbprophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
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              "        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>ds</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>2020-03-18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>2020-03-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>2020-03-20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>2020-03-21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <td>2020-03-22</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           ds\n",
              "56 2020-03-18\n",
              "57 2020-03-19\n",
              "58 2020-03-20\n",
              "59 2020-03-21\n",
              "60 2020-03-22"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e6duoXeb0Hwz",
        "colab_type": "code",
        "outputId": "692fc63b-07a5-463b-90aa-65b0c1fdcbee",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 202
        }
      },
      "source": [
        "forecast = m.predict(future)\n",
        "forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail()"
      ],
      "execution_count": 72,
      "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>ds</th>\n",
              "      <th>yhat</th>\n",
              "      <th>yhat_lower</th>\n",
              "      <th>yhat_upper</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>2020-03-18</td>\n",
              "      <td>6138.425635</td>\n",
              "      <td>5720.846258</td>\n",
              "      <td>6543.270135</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>2020-03-19</td>\n",
              "      <td>6317.279493</td>\n",
              "      <td>5920.639806</td>\n",
              "      <td>6729.170154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>2020-03-20</td>\n",
              "      <td>6547.994480</td>\n",
              "      <td>6104.374793</td>\n",
              "      <td>6942.513512</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>2020-03-21</td>\n",
              "      <td>6770.709480</td>\n",
              "      <td>6372.050079</td>\n",
              "      <td>7169.008019</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <td>2020-03-22</td>\n",
              "      <td>7011.341739</td>\n",
              "      <td>6617.015926</td>\n",
              "      <td>7426.391058</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           ds         yhat   yhat_lower   yhat_upper\n",
              "56 2020-03-18  6138.425635  5720.846258  6543.270135\n",
              "57 2020-03-19  6317.279493  5920.639806  6729.170154\n",
              "58 2020-03-20  6547.994480  6104.374793  6942.513512\n",
              "59 2020-03-21  6770.709480  6372.050079  7169.008019\n",
              "60 2020-03-22  7011.341739  6617.015926  7426.391058"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-dm172Ao0K_v",
        "colab_type": "code",
        "outputId": "1d0bf334-a3ff-4107-97a3-e0fb9538c0a0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        }
      },
      "source": [
        "deaths_forecast_plot = m.plot(forecast)"
      ],
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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qWL16daJuR0RERMawwZBJffsgr+zt4u3WftLczpjC8avvdfNvL73L2eU5/NviqTjjsNPr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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uQWTc3wJ0Q61",
        "colab_type": "code",
        "outputId": "540dd60b-71ec-4f10-f24f-bd1dce3db282",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        }
      },
      "source": [
        "deaths_forecast_plot = m.plot_components(forecast)"
      ],
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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oDnwDooKZODiOPGsk+YdDX3xYIL6aR1dE5JS5LACuX7+e//3f/2XEiBGMHj0a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\nAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 648x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2WF-h5C30TLV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}