covid-19 India.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt \n",
    "import seaborn as sns\n",
    "import datetime as dt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#importing main dataset \n",
    "df = pd.read_csv('states.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>State</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Deceased</th>\n",
       "      <th>Other</th>\n",
       "      <th>Tested</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-30</td>\n",
       "      <td>Kerala</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-30</td>\n",
       "      <td>India</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-02-02</td>\n",
       "      <td>Kerala</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-02-02</td>\n",
       "      <td>India</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-02-03</td>\n",
       "      <td>Kerala</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date   State  Confirmed  Recovered  Deceased  Other  Tested\n",
       "0  2020-01-30  Kerala          1          0         0      0     NaN\n",
       "1  2020-01-30   India          1          0         0      0     NaN\n",
       "2  2020-02-02  Kerala          2          0         0      0     NaN\n",
       "3  2020-02-02   India          2          0         0      0     NaN\n",
       "4  2020-02-03  Kerala          3          0         0      0     NaN"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#keeping only required columns\n",
    "df = df[['Date','State','Confirmed','Recovered', 'Deceased']]\n",
    "#renaming column names\n",
    "df.columns = ['date', 'state', 'confirmed','recovered','deceased']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>state</th>\n",
       "      <th>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>deceased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-30</td>\n",
       "      <td>Kerala</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-30</td>\n",
       "      <td>India</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-02-02</td>\n",
       "      <td>Kerala</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-02-02</td>\n",
       "      <td>India</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-02-03</td>\n",
       "      <td>Kerala</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date   state  confirmed  recovered  deceased\n",
       "0  2020-01-30  Kerala          1          0         0\n",
       "1  2020-01-30   India          1          0         0\n",
       "2  2020-02-02  Kerala          2          0         0\n",
       "3  2020-02-02   India          2          0         0\n",
       "4  2020-02-03  Kerala          3          0         0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>state</th>\n",
       "      <th>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>deceased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15685</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Tripura</td>\n",
       "      <td>45220</td>\n",
       "      <td>37369</td>\n",
       "      <td>454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15686</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>India</td>\n",
       "      <td>26528977</td>\n",
       "      <td>23418836</td>\n",
       "      <td>299299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15687</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1665176</td>\n",
       "      <td>1551716</td>\n",
       "      <td>18978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15688</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Uttarakhand</td>\n",
       "      <td>310469</td>\n",
       "      <td>241430</td>\n",
       "      <td>5734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15689</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>1248668</td>\n",
       "      <td>1102772</td>\n",
       "      <td>14208</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             date          state  confirmed  recovered  deceased\n",
       "15685  2021-05-22        Tripura      45220      37369       454\n",
       "15686  2021-05-22          India   26528977   23418836    299299\n",
       "15687  2021-05-22  Uttar Pradesh    1665176    1551716     18978\n",
       "15688  2021-05-22    Uttarakhand     310469     241430      5734\n",
       "15689  2021-05-22    West Bengal    1248668    1102772     14208"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>state</th>\n",
       "      <th>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>deceased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15653</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>6820</td>\n",
       "      <td>6441</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15654</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>1562060</td>\n",
       "      <td>1341355</td>\n",
       "      <td>10022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15655</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>23867</td>\n",
       "      <td>20836</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15656</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Assam</td>\n",
       "      <td>365620</td>\n",
       "      <td>307548</td>\n",
       "      <td>2667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15657</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Bihar</td>\n",
       "      <td>685574</td>\n",
       "      <td>636224</td>\n",
       "      <td>4442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15658</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>58129</td>\n",
       "      <td>52172</td>\n",
       "      <td>692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15659</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Chhattisgarh</td>\n",
       "      <td>945694</td>\n",
       "      <td>862660</td>\n",
       "      <td>12494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15660</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>1415219</td>\n",
       "      <td>1360898</td>\n",
       "      <td>23013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15661</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Dadra and Nagar Haveli and Daman and Diu</td>\n",
       "      <td>9856</td>\n",
       "      <td>9239</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15662</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Goa</td>\n",
       "      <td>144839</td>\n",
       "      <td>124255</td>\n",
       "      <td>2341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15663</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Gujarat</td>\n",
       "      <td>784676</td>\n",
       "      <td>695026</td>\n",
       "      <td>9523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15664</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Himachal Pradesh</td>\n",
       "      <td>177725</td>\n",
       "      <td>146219</td>\n",
       "      <td>2693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15665</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Haryana</td>\n",
       "      <td>733628</td>\n",
       "      <td>678220</td>\n",
       "      <td>7415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15666</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Jharkhand</td>\n",
       "      <td>329072</td>\n",
       "      <td>301705</td>\n",
       "      <td>4801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15667</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Jammu and Kashmir</td>\n",
       "      <td>267313</td>\n",
       "      <td>214664</td>\n",
       "      <td>3513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15668</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Karnataka</td>\n",
       "      <td>2398925</td>\n",
       "      <td>1891042</td>\n",
       "      <td>24658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15669</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Kerala</td>\n",
       "      <td>2322147</td>\n",
       "      <td>2025319</td>\n",
       "      <td>7171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15670</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Ladakh</td>\n",
       "      <td>17277</td>\n",
       "      <td>15585</td>\n",
       "      <td>176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15671</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Lakshadweep</td>\n",
       "      <td>6418</td>\n",
       "      <td>4371</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15672</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Maharashtra</td>\n",
       "      <td>5553225</td>\n",
       "      <td>5111095</td>\n",
       "      <td>87300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15673</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Meghalaya</td>\n",
       "      <td>28878</td>\n",
       "      <td>20989</td>\n",
       "      <td>435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15674</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Manipur</td>\n",
       "      <td>43322</td>\n",
       "      <td>36258</td>\n",
       "      <td>674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15675</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>760963</td>\n",
       "      <td>691427</td>\n",
       "      <td>7483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15676</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Mizoram</td>\n",
       "      <td>10006</td>\n",
       "      <td>7736</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15677</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Nagaland</td>\n",
       "      <td>19845</td>\n",
       "      <td>14363</td>\n",
       "      <td>271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15678</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Odisha</td>\n",
       "      <td>679530</td>\n",
       "      <td>577983</td>\n",
       "      <td>2509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15679</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>533973</td>\n",
       "      <td>459681</td>\n",
       "      <td>13089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15680</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Puducherry</td>\n",
       "      <td>94612</td>\n",
       "      <td>75947</td>\n",
       "      <td>1325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15681</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Rajasthan</td>\n",
       "      <td>909521</td>\n",
       "      <td>779601</td>\n",
       "      <td>7590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15682</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Sikkim</td>\n",
       "      <td>12814</td>\n",
       "      <td>9183</td>\n",
       "      <td>221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15683</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Telangana</td>\n",
       "      <td>551035</td>\n",
       "      <td>504970</td>\n",
       "      <td>3106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15684</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Tamil Nadu</td>\n",
       "      <td>1806861</td>\n",
       "      <td>1502537</td>\n",
       "      <td>20046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15685</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Tripura</td>\n",
       "      <td>45220</td>\n",
       "      <td>37369</td>\n",
       "      <td>454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15686</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>India</td>\n",
       "      <td>26528977</td>\n",
       "      <td>23418836</td>\n",
       "      <td>299299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15687</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1665176</td>\n",
       "      <td>1551716</td>\n",
       "      <td>18978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15688</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Uttarakhand</td>\n",
       "      <td>310469</td>\n",
       "      <td>241430</td>\n",
       "      <td>5734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15689</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>1248668</td>\n",
       "      <td>1102772</td>\n",
       "      <td>14208</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             date                                     state  confirmed  \\\n",
       "15653  2021-05-22               Andaman and Nicobar Islands       6820   \n",
       "15654  2021-05-22                            Andhra Pradesh    1562060   \n",
       "15655  2021-05-22                         Arunachal Pradesh      23867   \n",
       "15656  2021-05-22                                     Assam     365620   \n",
       "15657  2021-05-22                                     Bihar     685574   \n",
       "15658  2021-05-22                                Chandigarh      58129   \n",
       "15659  2021-05-22                              Chhattisgarh     945694   \n",
       "15660  2021-05-22                                     Delhi    1415219   \n",
       "15661  2021-05-22  Dadra and Nagar Haveli and Daman and Diu       9856   \n",
       "15662  2021-05-22                                       Goa     144839   \n",
       "15663  2021-05-22                                   Gujarat     784676   \n",
       "15664  2021-05-22                          Himachal Pradesh     177725   \n",
       "15665  2021-05-22                                   Haryana     733628   \n",
       "15666  2021-05-22                                 Jharkhand     329072   \n",
       "15667  2021-05-22                         Jammu and Kashmir     267313   \n",
       "15668  2021-05-22                                 Karnataka    2398925   \n",
       "15669  2021-05-22                                    Kerala    2322147   \n",
       "15670  2021-05-22                                    Ladakh      17277   \n",
       "15671  2021-05-22                               Lakshadweep       6418   \n",
       "15672  2021-05-22                               Maharashtra    5553225   \n",
       "15673  2021-05-22                                 Meghalaya      28878   \n",
       "15674  2021-05-22                                   Manipur      43322   \n",
       "15675  2021-05-22                            Madhya Pradesh     760963   \n",
       "15676  2021-05-22                                   Mizoram      10006   \n",
       "15677  2021-05-22                                  Nagaland      19845   \n",
       "15678  2021-05-22                                    Odisha     679530   \n",
       "15679  2021-05-22                                    Punjab     533973   \n",
       "15680  2021-05-22                                Puducherry      94612   \n",
       "15681  2021-05-22                                 Rajasthan     909521   \n",
       "15682  2021-05-22                                    Sikkim      12814   \n",
       "15683  2021-05-22                                 Telangana     551035   \n",
       "15684  2021-05-22                                Tamil Nadu    1806861   \n",
       "15685  2021-05-22                                   Tripura      45220   \n",
       "15686  2021-05-22                                     India   26528977   \n",
       "15687  2021-05-22                             Uttar Pradesh    1665176   \n",
       "15688  2021-05-22                               Uttarakhand     310469   \n",
       "15689  2021-05-22                               West Bengal    1248668   \n",
       "\n",
       "       recovered  deceased  \n",
       "15653       6441       101  \n",
       "15654    1341355     10022  \n",
       "15655      20836        95  \n",
       "15656     307548      2667  \n",
       "15657     636224      4442  \n",
       "15658      52172       692  \n",
       "15659     862660     12494  \n",
       "15660    1360898     23013  \n",
       "15661       9239         4  \n",
       "15662     124255      2341  \n",
       "15663     695026      9523  \n",
       "15664     146219      2693  \n",
       "15665     678220      7415  \n",
       "15666     301705      4801  \n",
       "15667     214664      3513  \n",
       "15668    1891042     24658  \n",
       "15669    2025319      7171  \n",
       "15670      15585       176  \n",
       "15671       4371        24  \n",
       "15672    5111095     87300  \n",
       "15673      20989       435  \n",
       "15674      36258       674  \n",
       "15675     691427      7483  \n",
       "15676       7736        31  \n",
       "15677      14363       271  \n",
       "15678     577983      2509  \n",
       "15679     459681     13089  \n",
       "15680      75947      1325  \n",
       "15681     779601      7590  \n",
       "15682       9183       221  \n",
       "15683     504970      3106  \n",
       "15684    1502537     20046  \n",
       "15685      37369       454  \n",
       "15686   23418836    299299  \n",
       "15687    1551716     18978  \n",
       "15688     241430      5734  \n",
       "15689    1102772     14208  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#current date\n",
    "today = df[df.date == '2021-05-22']\n",
    "today"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>state</th>\n",
       "      <th>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>deceased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15686</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>India</td>\n",
       "      <td>26528977</td>\n",
       "      <td>23418836</td>\n",
       "      <td>299299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15672</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Maharashtra</td>\n",
       "      <td>5553225</td>\n",
       "      <td>5111095</td>\n",
       "      <td>87300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15668</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Karnataka</td>\n",
       "      <td>2398925</td>\n",
       "      <td>1891042</td>\n",
       "      <td>24658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15669</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Kerala</td>\n",
       "      <td>2322147</td>\n",
       "      <td>2025319</td>\n",
       "      <td>7171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15684</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Tamil Nadu</td>\n",
       "      <td>1806861</td>\n",
       "      <td>1502537</td>\n",
       "      <td>20046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15687</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1665176</td>\n",
       "      <td>1551716</td>\n",
       "      <td>18978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15654</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>1562060</td>\n",
       "      <td>1341355</td>\n",
       "      <td>10022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15660</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>1415219</td>\n",
       "      <td>1360898</td>\n",
       "      <td>23013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15689</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>1248668</td>\n",
       "      <td>1102772</td>\n",
       "      <td>14208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15659</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Chhattisgarh</td>\n",
       "      <td>945694</td>\n",
       "      <td>862660</td>\n",
       "      <td>12494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15681</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Rajasthan</td>\n",
       "      <td>909521</td>\n",
       "      <td>779601</td>\n",
       "      <td>7590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15663</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Gujarat</td>\n",
       "      <td>784676</td>\n",
       "      <td>695026</td>\n",
       "      <td>9523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15675</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>760963</td>\n",
       "      <td>691427</td>\n",
       "      <td>7483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15665</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Haryana</td>\n",
       "      <td>733628</td>\n",
       "      <td>678220</td>\n",
       "      <td>7415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15657</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Bihar</td>\n",
       "      <td>685574</td>\n",
       "      <td>636224</td>\n",
       "      <td>4442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15678</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Odisha</td>\n",
       "      <td>679530</td>\n",
       "      <td>577983</td>\n",
       "      <td>2509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15683</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Telangana</td>\n",
       "      <td>551035</td>\n",
       "      <td>504970</td>\n",
       "      <td>3106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15679</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>533973</td>\n",
       "      <td>459681</td>\n",
       "      <td>13089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15656</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Assam</td>\n",
       "      <td>365620</td>\n",
       "      <td>307548</td>\n",
       "      <td>2667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15666</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Jharkhand</td>\n",
       "      <td>329072</td>\n",
       "      <td>301705</td>\n",
       "      <td>4801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15688</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Uttarakhand</td>\n",
       "      <td>310469</td>\n",
       "      <td>241430</td>\n",
       "      <td>5734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15667</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Jammu and Kashmir</td>\n",
       "      <td>267313</td>\n",
       "      <td>214664</td>\n",
       "      <td>3513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15664</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Himachal Pradesh</td>\n",
       "      <td>177725</td>\n",
       "      <td>146219</td>\n",
       "      <td>2693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15662</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Goa</td>\n",
       "      <td>144839</td>\n",
       "      <td>124255</td>\n",
       "      <td>2341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15680</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Puducherry</td>\n",
       "      <td>94612</td>\n",
       "      <td>75947</td>\n",
       "      <td>1325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15658</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>58129</td>\n",
       "      <td>52172</td>\n",
       "      <td>692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15685</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Tripura</td>\n",
       "      <td>45220</td>\n",
       "      <td>37369</td>\n",
       "      <td>454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15674</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Manipur</td>\n",
       "      <td>43322</td>\n",
       "      <td>36258</td>\n",
       "      <td>674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15673</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Meghalaya</td>\n",
       "      <td>28878</td>\n",
       "      <td>20989</td>\n",
       "      <td>435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15655</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>23867</td>\n",
       "      <td>20836</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15677</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Nagaland</td>\n",
       "      <td>19845</td>\n",
       "      <td>14363</td>\n",
       "      <td>271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15670</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Ladakh</td>\n",
       "      <td>17277</td>\n",
       "      <td>15585</td>\n",
       "      <td>176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15682</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Sikkim</td>\n",
       "      <td>12814</td>\n",
       "      <td>9183</td>\n",
       "      <td>221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15676</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Mizoram</td>\n",
       "      <td>10006</td>\n",
       "      <td>7736</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15661</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Dadra and Nagar Haveli and Daman and Diu</td>\n",
       "      <td>9856</td>\n",
       "      <td>9239</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15653</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>6820</td>\n",
       "      <td>6441</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15671</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Lakshadweep</td>\n",
       "      <td>6418</td>\n",
       "      <td>4371</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             date                                     state  confirmed  \\\n",
       "15686  2021-05-22                                     India   26528977   \n",
       "15672  2021-05-22                               Maharashtra    5553225   \n",
       "15668  2021-05-22                                 Karnataka    2398925   \n",
       "15669  2021-05-22                                    Kerala    2322147   \n",
       "15684  2021-05-22                                Tamil Nadu    1806861   \n",
       "15687  2021-05-22                             Uttar Pradesh    1665176   \n",
       "15654  2021-05-22                            Andhra Pradesh    1562060   \n",
       "15660  2021-05-22                                     Delhi    1415219   \n",
       "15689  2021-05-22                               West Bengal    1248668   \n",
       "15659  2021-05-22                              Chhattisgarh     945694   \n",
       "15681  2021-05-22                                 Rajasthan     909521   \n",
       "15663  2021-05-22                                   Gujarat     784676   \n",
       "15675  2021-05-22                            Madhya Pradesh     760963   \n",
       "15665  2021-05-22                                   Haryana     733628   \n",
       "15657  2021-05-22                                     Bihar     685574   \n",
       "15678  2021-05-22                                    Odisha     679530   \n",
       "15683  2021-05-22                                 Telangana     551035   \n",
       "15679  2021-05-22                                    Punjab     533973   \n",
       "15656  2021-05-22                                     Assam     365620   \n",
       "15666  2021-05-22                                 Jharkhand     329072   \n",
       "15688  2021-05-22                               Uttarakhand     310469   \n",
       "15667  2021-05-22                         Jammu and Kashmir     267313   \n",
       "15664  2021-05-22                          Himachal Pradesh     177725   \n",
       "15662  2021-05-22                                       Goa     144839   \n",
       "15680  2021-05-22                                Puducherry      94612   \n",
       "15658  2021-05-22                                Chandigarh      58129   \n",
       "15685  2021-05-22                                   Tripura      45220   \n",
       "15674  2021-05-22                                   Manipur      43322   \n",
       "15673  2021-05-22                                 Meghalaya      28878   \n",
       "15655  2021-05-22                         Arunachal Pradesh      23867   \n",
       "15677  2021-05-22                                  Nagaland      19845   \n",
       "15670  2021-05-22                                    Ladakh      17277   \n",
       "15682  2021-05-22                                    Sikkim      12814   \n",
       "15676  2021-05-22                                   Mizoram      10006   \n",
       "15661  2021-05-22  Dadra and Nagar Haveli and Daman and Diu       9856   \n",
       "15653  2021-05-22               Andaman and Nicobar Islands       6820   \n",
       "15671  2021-05-22                               Lakshadweep       6418   \n",
       "\n",
       "       recovered  deceased  \n",
       "15686   23418836    299299  \n",
       "15672    5111095     87300  \n",
       "15668    1891042     24658  \n",
       "15669    2025319      7171  \n",
       "15684    1502537     20046  \n",
       "15687    1551716     18978  \n",
       "15654    1341355     10022  \n",
       "15660    1360898     23013  \n",
       "15689    1102772     14208  \n",
       "15659     862660     12494  \n",
       "15681     779601      7590  \n",
       "15663     695026      9523  \n",
       "15675     691427      7483  \n",
       "15665     678220      7415  \n",
       "15657     636224      4442  \n",
       "15678     577983      2509  \n",
       "15683     504970      3106  \n",
       "15679     459681     13089  \n",
       "15656     307548      2667  \n",
       "15666     301705      4801  \n",
       "15688     241430      5734  \n",
       "15667     214664      3513  \n",
       "15664     146219      2693  \n",
       "15662     124255      2341  \n",
       "15680      75947      1325  \n",
       "15658      52172       692  \n",
       "15685      37369       454  \n",
       "15674      36258       674  \n",
       "15673      20989       435  \n",
       "15655      20836        95  \n",
       "15677      14363       271  \n",
       "15670      15585       176  \n",
       "15682       9183       221  \n",
       "15676       7736        31  \n",
       "15661       9239         4  \n",
       "15653       6441       101  \n",
       "15671       4371        24  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Sorting data w.r.t number of confirmed cases\n",
    "max_confirmed_cases=today.sort_values(by=\"confirmed\",ascending=False)\n",
    "max_confirmed_cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Getting states with maximum number of confirmed cases\n",
    "top_states_confirmed=max_confirmed_cases[0:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Making bar-plot for states with top confirmed cases\n",
    "sns.set(rc={'figure.figsize':(15,10)})\n",
    "sns.barplot(x=\"state\",y=\"confirmed\",data=top_states_confirmed,hue=\"state\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>state</th>\n",
       "      <th>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>deceased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15686</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>India</td>\n",
       "      <td>26528977</td>\n",
       "      <td>23418836</td>\n",
       "      <td>299299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15672</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Maharashtra</td>\n",
       "      <td>5553225</td>\n",
       "      <td>5111095</td>\n",
       "      <td>87300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15668</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Karnataka</td>\n",
       "      <td>2398925</td>\n",
       "      <td>1891042</td>\n",
       "      <td>24658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15660</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>1415219</td>\n",
       "      <td>1360898</td>\n",
       "      <td>23013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15684</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Tamil Nadu</td>\n",
       "      <td>1806861</td>\n",
       "      <td>1502537</td>\n",
       "      <td>20046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15687</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1665176</td>\n",
       "      <td>1551716</td>\n",
       "      <td>18978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15689</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>1248668</td>\n",
       "      <td>1102772</td>\n",
       "      <td>14208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15679</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>533973</td>\n",
       "      <td>459681</td>\n",
       "      <td>13089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15659</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Chhattisgarh</td>\n",
       "      <td>945694</td>\n",
       "      <td>862660</td>\n",
       "      <td>12494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15654</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>1562060</td>\n",
       "      <td>1341355</td>\n",
       "      <td>10022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15663</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Gujarat</td>\n",
       "      <td>784676</td>\n",
       "      <td>695026</td>\n",
       "      <td>9523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15681</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Rajasthan</td>\n",
       "      <td>909521</td>\n",
       "      <td>779601</td>\n",
       "      <td>7590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15675</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>760963</td>\n",
       "      <td>691427</td>\n",
       "      <td>7483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15665</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Haryana</td>\n",
       "      <td>733628</td>\n",
       "      <td>678220</td>\n",
       "      <td>7415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15669</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Kerala</td>\n",
       "      <td>2322147</td>\n",
       "      <td>2025319</td>\n",
       "      <td>7171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15688</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Uttarakhand</td>\n",
       "      <td>310469</td>\n",
       "      <td>241430</td>\n",
       "      <td>5734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15666</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Jharkhand</td>\n",
       "      <td>329072</td>\n",
       "      <td>301705</td>\n",
       "      <td>4801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15657</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Bihar</td>\n",
       "      <td>685574</td>\n",
       "      <td>636224</td>\n",
       "      <td>4442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15667</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Jammu and Kashmir</td>\n",
       "      <td>267313</td>\n",
       "      <td>214664</td>\n",
       "      <td>3513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15683</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Telangana</td>\n",
       "      <td>551035</td>\n",
       "      <td>504970</td>\n",
       "      <td>3106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15664</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Himachal Pradesh</td>\n",
       "      <td>177725</td>\n",
       "      <td>146219</td>\n",
       "      <td>2693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15656</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Assam</td>\n",
       "      <td>365620</td>\n",
       "      <td>307548</td>\n",
       "      <td>2667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15678</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Odisha</td>\n",
       "      <td>679530</td>\n",
       "      <td>577983</td>\n",
       "      <td>2509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15662</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Goa</td>\n",
       "      <td>144839</td>\n",
       "      <td>124255</td>\n",
       "      <td>2341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15680</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Puducherry</td>\n",
       "      <td>94612</td>\n",
       "      <td>75947</td>\n",
       "      <td>1325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15658</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>58129</td>\n",
       "      <td>52172</td>\n",
       "      <td>692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15674</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Manipur</td>\n",
       "      <td>43322</td>\n",
       "      <td>36258</td>\n",
       "      <td>674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15685</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Tripura</td>\n",
       "      <td>45220</td>\n",
       "      <td>37369</td>\n",
       "      <td>454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15673</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Meghalaya</td>\n",
       "      <td>28878</td>\n",
       "      <td>20989</td>\n",
       "      <td>435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15677</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Nagaland</td>\n",
       "      <td>19845</td>\n",
       "      <td>14363</td>\n",
       "      <td>271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15682</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Sikkim</td>\n",
       "      <td>12814</td>\n",
       "      <td>9183</td>\n",
       "      <td>221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15670</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Ladakh</td>\n",
       "      <td>17277</td>\n",
       "      <td>15585</td>\n",
       "      <td>176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15653</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>6820</td>\n",
       "      <td>6441</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15655</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>23867</td>\n",
       "      <td>20836</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15676</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Mizoram</td>\n",
       "      <td>10006</td>\n",
       "      <td>7736</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15671</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Lakshadweep</td>\n",
       "      <td>6418</td>\n",
       "      <td>4371</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15661</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Dadra and Nagar Haveli and Daman and Diu</td>\n",
       "      <td>9856</td>\n",
       "      <td>9239</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             date                                     state  confirmed  \\\n",
       "15686  2021-05-22                                     India   26528977   \n",
       "15672  2021-05-22                               Maharashtra    5553225   \n",
       "15668  2021-05-22                                 Karnataka    2398925   \n",
       "15660  2021-05-22                                     Delhi    1415219   \n",
       "15684  2021-05-22                                Tamil Nadu    1806861   \n",
       "15687  2021-05-22                             Uttar Pradesh    1665176   \n",
       "15689  2021-05-22                               West Bengal    1248668   \n",
       "15679  2021-05-22                                    Punjab     533973   \n",
       "15659  2021-05-22                              Chhattisgarh     945694   \n",
       "15654  2021-05-22                            Andhra Pradesh    1562060   \n",
       "15663  2021-05-22                                   Gujarat     784676   \n",
       "15681  2021-05-22                                 Rajasthan     909521   \n",
       "15675  2021-05-22                            Madhya Pradesh     760963   \n",
       "15665  2021-05-22                                   Haryana     733628   \n",
       "15669  2021-05-22                                    Kerala    2322147   \n",
       "15688  2021-05-22                               Uttarakhand     310469   \n",
       "15666  2021-05-22                                 Jharkhand     329072   \n",
       "15657  2021-05-22                                     Bihar     685574   \n",
       "15667  2021-05-22                         Jammu and Kashmir     267313   \n",
       "15683  2021-05-22                                 Telangana     551035   \n",
       "15664  2021-05-22                          Himachal Pradesh     177725   \n",
       "15656  2021-05-22                                     Assam     365620   \n",
       "15678  2021-05-22                                    Odisha     679530   \n",
       "15662  2021-05-22                                       Goa     144839   \n",
       "15680  2021-05-22                                Puducherry      94612   \n",
       "15658  2021-05-22                                Chandigarh      58129   \n",
       "15674  2021-05-22                                   Manipur      43322   \n",
       "15685  2021-05-22                                   Tripura      45220   \n",
       "15673  2021-05-22                                 Meghalaya      28878   \n",
       "15677  2021-05-22                                  Nagaland      19845   \n",
       "15682  2021-05-22                                    Sikkim      12814   \n",
       "15670  2021-05-22                                    Ladakh      17277   \n",
       "15653  2021-05-22               Andaman and Nicobar Islands       6820   \n",
       "15655  2021-05-22                         Arunachal Pradesh      23867   \n",
       "15676  2021-05-22                                   Mizoram      10006   \n",
       "15671  2021-05-22                               Lakshadweep       6418   \n",
       "15661  2021-05-22  Dadra and Nagar Haveli and Daman and Diu       9856   \n",
       "\n",
       "       recovered  deceased  \n",
       "15686   23418836    299299  \n",
       "15672    5111095     87300  \n",
       "15668    1891042     24658  \n",
       "15660    1360898     23013  \n",
       "15684    1502537     20046  \n",
       "15687    1551716     18978  \n",
       "15689    1102772     14208  \n",
       "15679     459681     13089  \n",
       "15659     862660     12494  \n",
       "15654    1341355     10022  \n",
       "15663     695026      9523  \n",
       "15681     779601      7590  \n",
       "15675     691427      7483  \n",
       "15665     678220      7415  \n",
       "15669    2025319      7171  \n",
       "15688     241430      5734  \n",
       "15666     301705      4801  \n",
       "15657     636224      4442  \n",
       "15667     214664      3513  \n",
       "15683     504970      3106  \n",
       "15664     146219      2693  \n",
       "15656     307548      2667  \n",
       "15678     577983      2509  \n",
       "15662     124255      2341  \n",
       "15680      75947      1325  \n",
       "15658      52172       692  \n",
       "15674      36258       674  \n",
       "15685      37369       454  \n",
       "15673      20989       435  \n",
       "15677      14363       271  \n",
       "15682       9183       221  \n",
       "15670      15585       176  \n",
       "15653       6441       101  \n",
       "15655      20836        95  \n",
       "15676       7736        31  \n",
       "15671       4371        24  \n",
       "15661       9239         4  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Sorting data w.r.t number of death cases\n",
    "max_death_cases=today.sort_values(by=\"deceased\",ascending=False)\n",
    "max_death_cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Getting states with maximum number of death cases\n",
    "top_states_death=max_death_cases[0:5]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Making bar-plot for states with top death cases\n",
    "sns.set(rc={'figure.figsize':(15,10)})\n",
    "sns.barplot(x=\"state\",y=\"deceased\",data=top_states_death,hue=\"state\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>state</th>\n",
       "      <th>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>deceased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15686</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>India</td>\n",
       "      <td>26528977</td>\n",
       "      <td>23418836</td>\n",
       "      <td>299299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15672</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Maharashtra</td>\n",
       "      <td>5553225</td>\n",
       "      <td>5111095</td>\n",
       "      <td>87300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15669</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Kerala</td>\n",
       "      <td>2322147</td>\n",
       "      <td>2025319</td>\n",
       "      <td>7171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15668</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Karnataka</td>\n",
       "      <td>2398925</td>\n",
       "      <td>1891042</td>\n",
       "      <td>24658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15687</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1665176</td>\n",
       "      <td>1551716</td>\n",
       "      <td>18978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15684</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Tamil Nadu</td>\n",
       "      <td>1806861</td>\n",
       "      <td>1502537</td>\n",
       "      <td>20046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15660</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>1415219</td>\n",
       "      <td>1360898</td>\n",
       "      <td>23013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15654</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>1562060</td>\n",
       "      <td>1341355</td>\n",
       "      <td>10022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15689</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>1248668</td>\n",
       "      <td>1102772</td>\n",
       "      <td>14208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15659</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Chhattisgarh</td>\n",
       "      <td>945694</td>\n",
       "      <td>862660</td>\n",
       "      <td>12494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15681</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Rajasthan</td>\n",
       "      <td>909521</td>\n",
       "      <td>779601</td>\n",
       "      <td>7590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15663</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Gujarat</td>\n",
       "      <td>784676</td>\n",
       "      <td>695026</td>\n",
       "      <td>9523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15675</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>760963</td>\n",
       "      <td>691427</td>\n",
       "      <td>7483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15665</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Haryana</td>\n",
       "      <td>733628</td>\n",
       "      <td>678220</td>\n",
       "      <td>7415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15657</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Bihar</td>\n",
       "      <td>685574</td>\n",
       "      <td>636224</td>\n",
       "      <td>4442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15678</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Odisha</td>\n",
       "      <td>679530</td>\n",
       "      <td>577983</td>\n",
       "      <td>2509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15683</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Telangana</td>\n",
       "      <td>551035</td>\n",
       "      <td>504970</td>\n",
       "      <td>3106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15679</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>533973</td>\n",
       "      <td>459681</td>\n",
       "      <td>13089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15656</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Assam</td>\n",
       "      <td>365620</td>\n",
       "      <td>307548</td>\n",
       "      <td>2667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15666</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Jharkhand</td>\n",
       "      <td>329072</td>\n",
       "      <td>301705</td>\n",
       "      <td>4801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15688</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Uttarakhand</td>\n",
       "      <td>310469</td>\n",
       "      <td>241430</td>\n",
       "      <td>5734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15667</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Jammu and Kashmir</td>\n",
       "      <td>267313</td>\n",
       "      <td>214664</td>\n",
       "      <td>3513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15664</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Himachal Pradesh</td>\n",
       "      <td>177725</td>\n",
       "      <td>146219</td>\n",
       "      <td>2693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15662</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Goa</td>\n",
       "      <td>144839</td>\n",
       "      <td>124255</td>\n",
       "      <td>2341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15680</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Puducherry</td>\n",
       "      <td>94612</td>\n",
       "      <td>75947</td>\n",
       "      <td>1325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15658</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>58129</td>\n",
       "      <td>52172</td>\n",
       "      <td>692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15685</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Tripura</td>\n",
       "      <td>45220</td>\n",
       "      <td>37369</td>\n",
       "      <td>454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15674</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Manipur</td>\n",
       "      <td>43322</td>\n",
       "      <td>36258</td>\n",
       "      <td>674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15673</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Meghalaya</td>\n",
       "      <td>28878</td>\n",
       "      <td>20989</td>\n",
       "      <td>435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15655</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>23867</td>\n",
       "      <td>20836</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15670</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Ladakh</td>\n",
       "      <td>17277</td>\n",
       "      <td>15585</td>\n",
       "      <td>176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15677</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Nagaland</td>\n",
       "      <td>19845</td>\n",
       "      <td>14363</td>\n",
       "      <td>271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15661</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Dadra and Nagar Haveli and Daman and Diu</td>\n",
       "      <td>9856</td>\n",
       "      <td>9239</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15682</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Sikkim</td>\n",
       "      <td>12814</td>\n",
       "      <td>9183</td>\n",
       "      <td>221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15676</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Mizoram</td>\n",
       "      <td>10006</td>\n",
       "      <td>7736</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15653</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>6820</td>\n",
       "      <td>6441</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15671</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Lakshadweep</td>\n",
       "      <td>6418</td>\n",
       "      <td>4371</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             date                                     state  confirmed  \\\n",
       "15686  2021-05-22                                     India   26528977   \n",
       "15672  2021-05-22                               Maharashtra    5553225   \n",
       "15669  2021-05-22                                    Kerala    2322147   \n",
       "15668  2021-05-22                                 Karnataka    2398925   \n",
       "15687  2021-05-22                             Uttar Pradesh    1665176   \n",
       "15684  2021-05-22                                Tamil Nadu    1806861   \n",
       "15660  2021-05-22                                     Delhi    1415219   \n",
       "15654  2021-05-22                            Andhra Pradesh    1562060   \n",
       "15689  2021-05-22                               West Bengal    1248668   \n",
       "15659  2021-05-22                              Chhattisgarh     945694   \n",
       "15681  2021-05-22                                 Rajasthan     909521   \n",
       "15663  2021-05-22                                   Gujarat     784676   \n",
       "15675  2021-05-22                            Madhya Pradesh     760963   \n",
       "15665  2021-05-22                                   Haryana     733628   \n",
       "15657  2021-05-22                                     Bihar     685574   \n",
       "15678  2021-05-22                                    Odisha     679530   \n",
       "15683  2021-05-22                                 Telangana     551035   \n",
       "15679  2021-05-22                                    Punjab     533973   \n",
       "15656  2021-05-22                                     Assam     365620   \n",
       "15666  2021-05-22                                 Jharkhand     329072   \n",
       "15688  2021-05-22                               Uttarakhand     310469   \n",
       "15667  2021-05-22                         Jammu and Kashmir     267313   \n",
       "15664  2021-05-22                          Himachal Pradesh     177725   \n",
       "15662  2021-05-22                                       Goa     144839   \n",
       "15680  2021-05-22                                Puducherry      94612   \n",
       "15658  2021-05-22                                Chandigarh      58129   \n",
       "15685  2021-05-22                                   Tripura      45220   \n",
       "15674  2021-05-22                                   Manipur      43322   \n",
       "15673  2021-05-22                                 Meghalaya      28878   \n",
       "15655  2021-05-22                         Arunachal Pradesh      23867   \n",
       "15670  2021-05-22                                    Ladakh      17277   \n",
       "15677  2021-05-22                                  Nagaland      19845   \n",
       "15661  2021-05-22  Dadra and Nagar Haveli and Daman and Diu       9856   \n",
       "15682  2021-05-22                                    Sikkim      12814   \n",
       "15676  2021-05-22                                   Mizoram      10006   \n",
       "15653  2021-05-22               Andaman and Nicobar Islands       6820   \n",
       "15671  2021-05-22                               Lakshadweep       6418   \n",
       "\n",
       "       recovered  deceased  \n",
       "15686   23418836    299299  \n",
       "15672    5111095     87300  \n",
       "15669    2025319      7171  \n",
       "15668    1891042     24658  \n",
       "15687    1551716     18978  \n",
       "15684    1502537     20046  \n",
       "15660    1360898     23013  \n",
       "15654    1341355     10022  \n",
       "15689    1102772     14208  \n",
       "15659     862660     12494  \n",
       "15681     779601      7590  \n",
       "15663     695026      9523  \n",
       "15675     691427      7483  \n",
       "15665     678220      7415  \n",
       "15657     636224      4442  \n",
       "15678     577983      2509  \n",
       "15683     504970      3106  \n",
       "15679     459681     13089  \n",
       "15656     307548      2667  \n",
       "15666     301705      4801  \n",
       "15688     241430      5734  \n",
       "15667     214664      3513  \n",
       "15664     146219      2693  \n",
       "15662     124255      2341  \n",
       "15680      75947      1325  \n",
       "15658      52172       692  \n",
       "15685      37369       454  \n",
       "15674      36258       674  \n",
       "15673      20989       435  \n",
       "15655      20836        95  \n",
       "15670      15585       176  \n",
       "15677      14363       271  \n",
       "15661       9239         4  \n",
       "15682       9183       221  \n",
       "15676       7736        31  \n",
       "15653       6441       101  \n",
       "15671       4371        24  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Sorting data w.r.t number of cured cases\n",
    "max_cured_cases=today.sort_values(by=\"recovered\",ascending=False)\n",
    "max_cured_cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Getting states with maximum number of cured cases\n",
    "top_states_cured=max_cured_cases[0:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Making bar-plot for states with top death cases\n",
    "sns.set(rc={'figure.figsize':(15,10)})\n",
    "sns.barplot(x=\"state\",y=\"recovered\",data=top_states_cured,hue=\"state\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Visualizing confirmed cases in uttar pradesh\n",
    "sns.set(rc={'figure.figsize':(15,10)})\n",
    "sns.lineplot(x=\"\",y=\"confirmed\",data=up,color=\"g\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>state</th>\n",
       "      <th>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>deceased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2020-03-04</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2020-03-05</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2020-03-06</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2020-03-07</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15539</th>\n",
       "      <td>2021-05-18</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1637663</td>\n",
       "      <td>1483249</td>\n",
       "      <td>18072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15576</th>\n",
       "      <td>2021-05-19</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1644849</td>\n",
       "      <td>1502918</td>\n",
       "      <td>18352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15613</th>\n",
       "      <td>2021-05-20</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1651530</td>\n",
       "      <td>1516508</td>\n",
       "      <td>18588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15650</th>\n",
       "      <td>2021-05-21</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1659212</td>\n",
       "      <td>1534176</td>\n",
       "      <td>18760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15687</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1665176</td>\n",
       "      <td>1551716</td>\n",
       "      <td>18978</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>445 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             date          state  confirmed  recovered  deceased\n",
       "23     2020-03-04  Uttar Pradesh          7          0         0\n",
       "30     2020-03-05  Uttar Pradesh          8          0         0\n",
       "37     2020-03-06  Uttar Pradesh          8          0         0\n",
       "46     2020-03-07  Uttar Pradesh          8          0         0\n",
       "55     2020-03-08  Uttar Pradesh          8          0         0\n",
       "...           ...            ...        ...        ...       ...\n",
       "15539  2021-05-18  Uttar Pradesh    1637663    1483249     18072\n",
       "15576  2021-05-19  Uttar Pradesh    1644849    1502918     18352\n",
       "15613  2021-05-20  Uttar Pradesh    1651530    1516508     18588\n",
       "15650  2021-05-21  Uttar Pradesh    1659212    1534176     18760\n",
       "15687  2021-05-22  Uttar Pradesh    1665176    1551716     18978\n",
       "\n",
       "[445 rows x 5 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#UP\n",
    "up = df[df.state == 'Uttar Pradesh']\n",
    "up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(rc={'figure.figsize':(15,10)})\n",
    "sns.lineplot(x=\"date\",y=\"confirmed\",data=up,color=\"g\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Visualizing death cases in up\n",
    "sns.set(rc={'figure.figsize':(15,10)})\n",
    "sns.lineplot(x=\"date\",y=\"deceased\",data=up,color=\"r\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Visualizing recovered cases in up\n",
    "sns.set(rc={'figure.figsize':(15,10)})\n",
    "sns.lineplot(x=\"date\",y=\"recovered\",data=up,color=\"r\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Updated_On</th>\n",
       "      <th>State</th>\n",
       "      <th>RT-PCR Test(Includes TrueNat,CBNAAT,CRISPR)</th>\n",
       "      <th>RAT(Rapid Antigen Test)</th>\n",
       "      <th>Other Tests</th>\n",
       "      <th>Total Tested</th>\n",
       "      <th>Tag (Total Tested)</th>\n",
       "      <th>Positive</th>\n",
       "      <th>Negative</th>\n",
       "      <th>Unconfirmed</th>\n",
       "      <th>...</th>\n",
       "      <th>Transgender(Confirmed Cases)</th>\n",
       "      <th>Unknown(Confirmed Cases)</th>\n",
       "      <th>Male(Deceased Cases)</th>\n",
       "      <th>Female(Deceased Cases)</th>\n",
       "      <th>Transgender(Deceased Cases)</th>\n",
       "      <th>Unknown(Deceased Cases)</th>\n",
       "      <th>Source1</th>\n",
       "      <th>Source2</th>\n",
       "      <th>Source3</th>\n",
       "      <th>Source 4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>17-04-2020</td>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1403.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1210</td>\n",
       "      <td>181.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/indiacovid/2550</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>24-04-2020</td>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2679.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>246.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/indiacovid/3147?single</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>27-04-2020</td>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2848.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>106.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/indiacovid/3365?single</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01-05-2020</td>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3754.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>199.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/indiacovid/3781</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16-05-2020</td>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6677.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/indiacovid/4925</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13608</th>\n",
       "      <td>19-05-2021</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>6922327.0</td>\n",
       "      <td>4715805</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11638132.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.wbhealth.gov.in/uploaded_files/cor...</td>\n",
       "      <td>https://www.wbhealth.gov.in/pages/corona/bulletin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13609</th>\n",
       "      <td>20-05-2021</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>6966803.0</td>\n",
       "      <td>4741967</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11708770.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.wbhealth.gov.in/uploaded_files/cor...</td>\n",
       "      <td>https://www.wbhealth.gov.in/pages/corona/bulletin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13610</th>\n",
       "      <td>21-05-2021</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>7012747.0</td>\n",
       "      <td>4773650</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11786397.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.wbhealth.gov.in/uploaded_files/cor...</td>\n",
       "      <td>https://www.wbhealth.gov.in/pages/corona/bulletin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13611</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>7055940.0</td>\n",
       "      <td>4800476</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11856416.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.wbhealth.gov.in/uploaded_files/cor...</td>\n",
       "      <td>https://www.wbhealth.gov.in/pages/corona/bulletin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13612</th>\n",
       "      <td>23-05-2021</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13613 rows × 55 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Updated_On                        State  \\\n",
       "0      17-04-2020  Andaman and Nicobar Islands   \n",
       "1      24-04-2020  Andaman and Nicobar Islands   \n",
       "2      27-04-2020  Andaman and Nicobar Islands   \n",
       "3      01-05-2020  Andaman and Nicobar Islands   \n",
       "4      16-05-2020  Andaman and Nicobar Islands   \n",
       "...           ...                          ...   \n",
       "13608  19-05-2021                  West Bengal   \n",
       "13609  20-05-2021                  West Bengal   \n",
       "13610  21-05-2021                  West Bengal   \n",
       "13611  22-05-2021                  West Bengal   \n",
       "13612  23-05-2021                  West Bengal   \n",
       "\n",
       "       RT-PCR Test(Includes TrueNat,CBNAAT,CRISPR) RAT(Rapid Antigen Test)  \\\n",
       "0                                              NaN                     NaN   \n",
       "1                                              NaN                     NaN   \n",
       "2                                              NaN                     NaN   \n",
       "3                                              NaN                     NaN   \n",
       "4                                              NaN                     NaN   \n",
       "...                                            ...                     ...   \n",
       "13608                                    6922327.0                 4715805   \n",
       "13609                                    6966803.0                 4741967   \n",
       "13610                                    7012747.0                 4773650   \n",
       "13611                                    7055940.0                 4800476   \n",
       "13612                                          NaN                     NaN   \n",
       "\n",
       "      Other Tests  Total Tested Tag (Total Tested)  Positive Negative  \\\n",
       "0             NaN        1403.0       Samples Sent      12.0     1210   \n",
       "1             NaN        2679.0       Samples Sent      27.0      NaN   \n",
       "2             NaN        2848.0       Samples Sent      33.0      NaN   \n",
       "3             NaN        3754.0       Samples Sent      33.0      NaN   \n",
       "4             NaN        6677.0       Samples Sent      33.0      NaN   \n",
       "...           ...           ...                ...       ...      ...   \n",
       "13608         NaN    11638132.0             Tested       NaN      NaN   \n",
       "13609         NaN    11708770.0             Tested       NaN      NaN   \n",
       "13610         NaN    11786397.0             Tested       NaN      NaN   \n",
       "13611         NaN    11856416.0             Tested       NaN      NaN   \n",
       "13612         NaN           NaN                NaN       NaN      NaN   \n",
       "\n",
       "       Unconfirmed  ...  Transgender(Confirmed Cases)  \\\n",
       "0            181.0  ...                           NaN   \n",
       "1            246.0  ...                           NaN   \n",
       "2            106.0  ...                           NaN   \n",
       "3            199.0  ...                           NaN   \n",
       "4            136.0  ...                           NaN   \n",
       "...            ...  ...                           ...   \n",
       "13608          NaN  ...                           NaN   \n",
       "13609          NaN  ...                           NaN   \n",
       "13610          NaN  ...                           NaN   \n",
       "13611          NaN  ...                           NaN   \n",
       "13612          NaN  ...                           NaN   \n",
       "\n",
       "       Unknown(Confirmed Cases) Male(Deceased Cases)  Female(Deceased Cases)  \\\n",
       "0                           NaN                  NaN                     NaN   \n",
       "1                           NaN                  NaN                     NaN   \n",
       "2                           NaN                  NaN                     NaN   \n",
       "3                           NaN                  NaN                     NaN   \n",
       "4                           NaN                  NaN                     NaN   \n",
       "...                         ...                  ...                     ...   \n",
       "13608                       NaN                  NaN                     NaN   \n",
       "13609                       NaN                  NaN                     NaN   \n",
       "13610                       NaN                  NaN                     NaN   \n",
       "13611                       NaN                  NaN                     NaN   \n",
       "13612                       NaN                  NaN                     NaN   \n",
       "\n",
       "       Transgender(Deceased Cases) Unknown(Deceased Cases)  \\\n",
       "0                              NaN                     NaN   \n",
       "1                              NaN                     NaN   \n",
       "2                              NaN                     NaN   \n",
       "3                              NaN                     NaN   \n",
       "4                              NaN                     NaN   \n",
       "...                            ...                     ...   \n",
       "13608                          NaN                     NaN   \n",
       "13609                          NaN                     NaN   \n",
       "13610                          NaN                     NaN   \n",
       "13611                          NaN                     NaN   \n",
       "13612                          NaN                     NaN   \n",
       "\n",
       "                                                 Source1  \\\n",
       "0                           https://t.me/indiacovid/2550   \n",
       "1                    https://t.me/indiacovid/3147?single   \n",
       "2                    https://t.me/indiacovid/3365?single   \n",
       "3                           https://t.me/indiacovid/3781   \n",
       "4                           https://t.me/indiacovid/4925   \n",
       "...                                                  ...   \n",
       "13608  https://www.wbhealth.gov.in/uploaded_files/cor...   \n",
       "13609  https://www.wbhealth.gov.in/uploaded_files/cor...   \n",
       "13610  https://www.wbhealth.gov.in/uploaded_files/cor...   \n",
       "13611  https://www.wbhealth.gov.in/uploaded_files/cor...   \n",
       "13612                                                NaN   \n",
       "\n",
       "                                                 Source2 Source3  Source 4  \n",
       "0                                                    NaN     NaN       NaN  \n",
       "1                                                    NaN     NaN       NaN  \n",
       "2                                                    NaN     NaN       NaN  \n",
       "3                                                    NaN     NaN       NaN  \n",
       "4                                                    NaN     NaN       NaN  \n",
       "...                                                  ...     ...       ...  \n",
       "13608  https://www.wbhealth.gov.in/pages/corona/bulletin     NaN       NaN  \n",
       "13609  https://www.wbhealth.gov.in/pages/corona/bulletin     NaN       NaN  \n",
       "13610  https://www.wbhealth.gov.in/pages/corona/bulletin     NaN       NaN  \n",
       "13611  https://www.wbhealth.gov.in/pages/corona/bulletin     NaN       NaN  \n",
       "13612                                                NaN     NaN       NaN  \n",
       "\n",
       "[13613 rows x 55 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Checking state-wise testing details\n",
    "tests = pd.read_csv('state_tested.csv')\n",
    "tests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Updated_On</th>\n",
       "      <th>State</th>\n",
       "      <th>RT-PCR Test(Includes TrueNat,CBNAAT,CRISPR)</th>\n",
       "      <th>RAT(Rapid Antigen Test)</th>\n",
       "      <th>Other Tests</th>\n",
       "      <th>Total Tested</th>\n",
       "      <th>Tag (Total Tested)</th>\n",
       "      <th>Positive</th>\n",
       "      <th>Negative</th>\n",
       "      <th>Unconfirmed</th>\n",
       "      <th>...</th>\n",
       "      <th>Transgender(Confirmed Cases)</th>\n",
       "      <th>Unknown(Confirmed Cases)</th>\n",
       "      <th>Male(Deceased Cases)</th>\n",
       "      <th>Female(Deceased Cases)</th>\n",
       "      <th>Transgender(Deceased Cases)</th>\n",
       "      <th>Unknown(Deceased Cases)</th>\n",
       "      <th>Source1</th>\n",
       "      <th>Source2</th>\n",
       "      <th>Source3</th>\n",
       "      <th>Source 4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://dhs.andaman.gov.in/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>782</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18525758.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16963698</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/ArogyaAndhra/status/139607...</td>\n",
       "      <td>http://covid19.ap.gov.in/Covid19_Admin/index.html</td>\n",
       "      <td>http://dashboard.covid19.ap.gov.in</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1181</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>530121.0</td>\n",
       "      <td>Samples Collected</td>\n",
       "      <td>NaN</td>\n",
       "      <td>493576</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/DirectorateofHS/status/139...</td>\n",
       "      <td>http://covid19.itanagarsmartcity.in/covidstatu...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1576</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Assam</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10089714.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/nhm_assam/status/139613171...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1988</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Bihar</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28875658.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/BiharHealthDept/status/139...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2389</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>481446.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>422124</td>\n",
       "      <td>86.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>http://chdcovid19.in</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2793</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Chhattisgarh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8575166.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/HealthCgGov/status/1396155...</td>\n",
       "      <td>http://www.cghealth.nic.in/cghealth17/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3377</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>9727507.0</td>\n",
       "      <td>8889612</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18659148.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/CMODelhi/status/1396041763...</td>\n",
       "      <td>https://delhifightscorona.in/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3782</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Goa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>783409.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.goa.gov.in/wp-content/uploads/2021...</td>\n",
       "      <td>https://www.goa.gov.in/covid-19/</td>\n",
       "      <td>https://twitter.com/DHS_Goa/status/13174613101...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4190</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Gujarat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20870917.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>https://gujcovid19.gujarat.gov.in/</td>\n",
       "      <td>https://twitter.com/GujHFWDept/status/13721955...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4603</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Haryana</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8639800.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4662.0</td>\n",
       "      <td>2752.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.nhmharyana.gov.in/WriteReadData/use...</td>\n",
       "      <td>http://www.nhmharyana.gov.in/page?id=208</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5012</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Himachal Pradesh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1822120.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1642876</td>\n",
       "      <td>1519.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/nhm_hp/status/139610373511...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5422</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Jammu and Kashmir</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8188640.0</td>\n",
       "      <td>Reports Received</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7921327</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/NHMJK5/status/139611893300...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5828</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Jharkhand</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8059453.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>329072.0</td>\n",
       "      <td>7730381</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>https://twitter.com/rnuddkranchi/status/138347...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6240</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Karnataka</td>\n",
       "      <td>23802801.0</td>\n",
       "      <td>4779402</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28582203.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.co/DwQljUHBHo?amp=1</td>\n",
       "      <td>https://twitter.com/DHFWKA/status/139611179214...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6658</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Kerala</td>\n",
       "      <td>7155954.0</td>\n",
       "      <td>11447776</td>\n",
       "      <td>77321</td>\n",
       "      <td>18681051.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://dhs.kerala.gov.in/wp-content/uploads/2...</td>\n",
       "      <td>https://dhs.kerala.gov.in/%E0%B4%A1%E0%B5%86%E...</td>\n",
       "      <td>https://dashboard.kerala.gov.in/quarantine-vie...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6875</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Ladakh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6990</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Lakshadweep</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>112080.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>https://twitter.com/lakshadweep_ld/status/1353...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7403</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9228240.0</td>\n",
       "      <td>Reports Received</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9304133</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/healthminmp/status/1396098...</td>\n",
       "      <td>https://www.mpinfo.org/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7813</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Maharashtra</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32723361.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>https://arogya.maharashtra.gov.in/1175/Novel--...</td>\n",
       "      <td>https://www.covid19maharashtragov.in/mh-covid/...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8142</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Manipur</td>\n",
       "      <td>320561.0</td>\n",
       "      <td>358247</td>\n",
       "      <td>NaN</td>\n",
       "      <td>678808.0</td>\n",
       "      <td>Reports Received</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>http://nrhmmanipur.org/?page_id=2493</td>\n",
       "      <td>https://twitter.com/health_manipur/status/1367...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8478</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Meghalaya</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>532756.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>503878</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>http://meghalayaonline.gov.in/covid/login.htm</td>\n",
       "      <td>https://meghealth.in/</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8873</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Mizoram</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9280</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Nagaland</td>\n",
       "      <td>139913.0</td>\n",
       "      <td>42596</td>\n",
       "      <td>NaN</td>\n",
       "      <td>182509.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/MyGovNagaland/status/13961...</td>\n",
       "      <td>https://twitter.com/MyGovNagaland/status/13659...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9693</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Odisha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11241408.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>https://statedashboard.odisha.gov.in/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10094</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Puducherry</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>980636.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>850822</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>https://health.py.gov.in/</td>\n",
       "      <td>https://covid19dashboard.py.gov.in/LabTestReport</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10506</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8636245.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>http://diprpunjab.gov.in/?q=press-release</td>\n",
       "      <td>http://diprpunjab.gov.in/?q=press-release</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10918</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Rajasthan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10181510.0</td>\n",
       "      <td>Reports Received</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/airnews_jaipur/status/1396...</td>\n",
       "      <td>http://rajswasthya.nic.in/</td>\n",
       "      <td>https://twitter.com/dineshkumawat/status/13602...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11252</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Sikkim</td>\n",
       "      <td>85536.0</td>\n",
       "      <td>23637</td>\n",
       "      <td>NaN</td>\n",
       "      <td>109173.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>https://covid19sikkim.org/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11664</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Tamil Nadu</td>\n",
       "      <td>26124748.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26124748.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://stopcorona.tn.gov.in/wp-content/upload...</td>\n",
       "      <td>https://stopcorona.tn.gov.in/daily-bulletin/</td>\n",
       "      <td>https://stopcorona.tn.gov.in/daily-bulletin/</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12004</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Telangana</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14465371.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1765.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/IPRTelangana/status/139609...</td>\n",
       "      <td>https://covid19.telangana.gov.in/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12374</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Tripura</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>851218.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>45220.0</td>\n",
       "      <td>805998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>https://covid19.tripura.gov.in/Visitor/ViewSta...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12785</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46419134.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/ShishirGoUP/status/1396102...</td>\n",
       "      <td>https://twitter.com/UPGovt/status/136854043968...</td>\n",
       "      <td>https://www.youtube.com/watch?t=171&amp;v=raO1kfJf...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13197</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Uttarakhand</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4475669.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4165200</td>\n",
       "      <td>17919.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/DDnews_dehradun/status/139...</td>\n",
       "      <td>https://health.uk.gov.in/pages/display/140-nov...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13611</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>7055940.0</td>\n",
       "      <td>4800476</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11856416.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.wbhealth.gov.in/uploaded_files/cor...</td>\n",
       "      <td>https://www.wbhealth.gov.in/pages/corona/bulletin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>35 rows × 55 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Updated_On                        State  \\\n",
       "373    22-05-2021  Andaman and Nicobar Islands   \n",
       "782    22-05-2021               Andhra Pradesh   \n",
       "1181   22-05-2021            Arunachal Pradesh   \n",
       "1576   22-05-2021                        Assam   \n",
       "1988   22-05-2021                        Bihar   \n",
       "2389   22-05-2021                   Chandigarh   \n",
       "2793   22-05-2021                 Chhattisgarh   \n",
       "3377   22-05-2021                        Delhi   \n",
       "3782   22-05-2021                          Goa   \n",
       "4190   22-05-2021                      Gujarat   \n",
       "4603   22-05-2021                      Haryana   \n",
       "5012   22-05-2021             Himachal Pradesh   \n",
       "5422   22-05-2021            Jammu and Kashmir   \n",
       "5828   22-05-2021                    Jharkhand   \n",
       "6240   22-05-2021                    Karnataka   \n",
       "6658   22-05-2021                       Kerala   \n",
       "6875   22-05-2021                       Ladakh   \n",
       "6990   22-05-2021                  Lakshadweep   \n",
       "7403   22-05-2021               Madhya Pradesh   \n",
       "7813   22-05-2021                  Maharashtra   \n",
       "8142   22-05-2021                      Manipur   \n",
       "8478   22-05-2021                    Meghalaya   \n",
       "8873   22-05-2021                      Mizoram   \n",
       "9280   22-05-2021                     Nagaland   \n",
       "9693   22-05-2021                       Odisha   \n",
       "10094  22-05-2021                   Puducherry   \n",
       "10506  22-05-2021                       Punjab   \n",
       "10918  22-05-2021                    Rajasthan   \n",
       "11252  22-05-2021                       Sikkim   \n",
       "11664  22-05-2021                   Tamil Nadu   \n",
       "12004  22-05-2021                    Telangana   \n",
       "12374  22-05-2021                      Tripura   \n",
       "12785  22-05-2021                Uttar Pradesh   \n",
       "13197  22-05-2021                  Uttarakhand   \n",
       "13611  22-05-2021                  West Bengal   \n",
       "\n",
       "       RT-PCR Test(Includes TrueNat,CBNAAT,CRISPR) RAT(Rapid Antigen Test)  \\\n",
       "373                                            NaN                     NaN   \n",
       "782                                            NaN                     NaN   \n",
       "1181                                           NaN                     NaN   \n",
       "1576                                           NaN                     NaN   \n",
       "1988                                           NaN                     NaN   \n",
       "2389                                           NaN                     NaN   \n",
       "2793                                           NaN                     NaN   \n",
       "3377                                     9727507.0                 8889612   \n",
       "3782                                           NaN                     NaN   \n",
       "4190                                           NaN                     NaN   \n",
       "4603                                           NaN                     NaN   \n",
       "5012                                           NaN                     NaN   \n",
       "5422                                           NaN                     NaN   \n",
       "5828                                           NaN                     NaN   \n",
       "6240                                    23802801.0                 4779402   \n",
       "6658                                     7155954.0                11447776   \n",
       "6875                                           NaN                     NaN   \n",
       "6990                                           NaN                     NaN   \n",
       "7403                                           NaN                     NaN   \n",
       "7813                                           NaN                     NaN   \n",
       "8142                                      320561.0                  358247   \n",
       "8478                                           NaN                     NaN   \n",
       "8873                                           NaN                     NaN   \n",
       "9280                                      139913.0                   42596   \n",
       "9693                                           NaN                     NaN   \n",
       "10094                                          NaN                     NaN   \n",
       "10506                                          NaN                     NaN   \n",
       "10918                                          NaN                     NaN   \n",
       "11252                                      85536.0                   23637   \n",
       "11664                                   26124748.0                     NaN   \n",
       "12004                                          NaN                     NaN   \n",
       "12374                                          NaN                     NaN   \n",
       "12785                                          NaN                     NaN   \n",
       "13197                                          NaN                     NaN   \n",
       "13611                                    7055940.0                 4800476   \n",
       "\n",
       "      Other Tests  Total Tested Tag (Total Tested)  Positive  Negative  \\\n",
       "373           NaN           NaN                NaN       NaN       NaN   \n",
       "782           NaN    18525758.0             Tested       NaN  16963698   \n",
       "1181          NaN      530121.0  Samples Collected       NaN    493576   \n",
       "1576          NaN    10089714.0             Tested       NaN       NaN   \n",
       "1988          NaN    28875658.0             Tested       NaN       NaN   \n",
       "2389          NaN      481446.0             Tested       NaN    422124   \n",
       "2793          NaN     8575166.0             Tested       NaN       NaN   \n",
       "3377          NaN    18659148.0             Tested       NaN       NaN   \n",
       "3782          NaN      783409.0       Samples Sent       NaN       NaN   \n",
       "4190          NaN    20870917.0             Tested       NaN       NaN   \n",
       "4603          NaN     8639800.0       Samples Sent       NaN       NaN   \n",
       "5012          NaN     1822120.0             Tested       NaN   1642876   \n",
       "5422          NaN     8188640.0   Reports Received       NaN   7921327   \n",
       "5828          NaN     8059453.0             Tested  329072.0   7730381   \n",
       "6240          NaN    28582203.0             Tested       NaN       NaN   \n",
       "6658        77321    18681051.0       Samples Sent       NaN       NaN   \n",
       "6875          NaN           NaN                NaN       NaN       NaN   \n",
       "6990          NaN      112080.0             Tested       NaN       NaN   \n",
       "7403          NaN     9228240.0   Reports Received       NaN   9304133   \n",
       "7813          NaN    32723361.0             Tested       NaN       NaN   \n",
       "8142          NaN      678808.0   Reports Received       NaN       NaN   \n",
       "8478          NaN      532756.0             Tested       NaN    503878   \n",
       "8873          NaN           NaN                NaN       NaN       NaN   \n",
       "9280          NaN      182509.0       Samples Sent       NaN       NaN   \n",
       "9693          NaN    11241408.0                NaN       NaN       NaN   \n",
       "10094         NaN      980636.0             Tested       NaN    850822   \n",
       "10506         NaN     8636245.0       Samples Sent       NaN       NaN   \n",
       "10918         NaN    10181510.0   Reports Received       NaN       NaN   \n",
       "11252         NaN      109173.0       Samples Sent       NaN       NaN   \n",
       "11664         NaN    26124748.0       Samples Sent       NaN       NaN   \n",
       "12004         NaN    14465371.0             Tested       NaN       NaN   \n",
       "12374         NaN      851218.0             Tested   45220.0    805998   \n",
       "12785         NaN    46419134.0             Tested       NaN       NaN   \n",
       "13197         NaN     4475669.0             Tested       NaN   4165200   \n",
       "13611         NaN    11856416.0             Tested       NaN       NaN   \n",
       "\n",
       "       Unconfirmed  ...  Transgender(Confirmed Cases)  \\\n",
       "373            NaN  ...                           NaN   \n",
       "782            NaN  ...                           NaN   \n",
       "1181           NaN  ...                           NaN   \n",
       "1576           NaN  ...                           NaN   \n",
       "1988           NaN  ...                           NaN   \n",
       "2389          86.0  ...                           NaN   \n",
       "2793           NaN  ...                           NaN   \n",
       "3377           NaN  ...                           NaN   \n",
       "3782           NaN  ...                           NaN   \n",
       "4190           NaN  ...                           NaN   \n",
       "4603           NaN  ...                          17.0   \n",
       "5012        1519.0  ...                           NaN   \n",
       "5422           NaN  ...                           NaN   \n",
       "5828           NaN  ...                           NaN   \n",
       "6240           NaN  ...                           NaN   \n",
       "6658           NaN  ...                           NaN   \n",
       "6875           NaN  ...                           NaN   \n",
       "6990           NaN  ...                           NaN   \n",
       "7403           NaN  ...                           NaN   \n",
       "7813           NaN  ...                           NaN   \n",
       "8142           NaN  ...                           NaN   \n",
       "8478           NaN  ...                           NaN   \n",
       "8873           NaN  ...                           NaN   \n",
       "9280           NaN  ...                           NaN   \n",
       "9693           NaN  ...                           NaN   \n",
       "10094          NaN  ...                           NaN   \n",
       "10506          NaN  ...                           NaN   \n",
       "10918          NaN  ...                           NaN   \n",
       "11252          NaN  ...                           NaN   \n",
       "11664          NaN  ...                          38.0   \n",
       "12004       1765.0  ...                           NaN   \n",
       "12374          NaN  ...                           NaN   \n",
       "12785          NaN  ...                           NaN   \n",
       "13197      17919.0  ...                           NaN   \n",
       "13611          NaN  ...                           NaN   \n",
       "\n",
       "       Unknown(Confirmed Cases) Male(Deceased Cases)  Female(Deceased Cases)  \\\n",
       "373                         NaN                  NaN                     NaN   \n",
       "782                         NaN                  NaN                     NaN   \n",
       "1181                        NaN                  NaN                     NaN   \n",
       "1576                        NaN                  NaN                     NaN   \n",
       "1988                        NaN                  NaN                     NaN   \n",
       "2389                        NaN                  NaN                     NaN   \n",
       "2793                        NaN                  NaN                     NaN   \n",
       "3377                        NaN                  NaN                     NaN   \n",
       "3782                        NaN                  NaN                     NaN   \n",
       "4190                        NaN                  NaN                     NaN   \n",
       "4603                        NaN               4662.0                  2752.0   \n",
       "5012                        NaN                  NaN                     NaN   \n",
       "5422                        NaN                  NaN                     NaN   \n",
       "5828                        NaN                  NaN                     NaN   \n",
       "6240                        NaN                  NaN                     NaN   \n",
       "6658                        NaN                  NaN                     NaN   \n",
       "6875                        NaN                  NaN                     NaN   \n",
       "6990                        NaN                  NaN                     NaN   \n",
       "7403                        NaN                  NaN                     NaN   \n",
       "7813                        NaN                  NaN                     NaN   \n",
       "8142                        NaN                  NaN                     NaN   \n",
       "8478                        NaN                  NaN                     NaN   \n",
       "8873                        NaN                  NaN                     NaN   \n",
       "9280                        NaN                  NaN                     NaN   \n",
       "9693                        NaN                  NaN                     NaN   \n",
       "10094                       NaN                  NaN                     NaN   \n",
       "10506                       NaN                  NaN                     NaN   \n",
       "10918                       NaN                  NaN                     NaN   \n",
       "11252                       NaN                  NaN                     NaN   \n",
       "11664                       NaN                  NaN                     NaN   \n",
       "12004                       NaN                  NaN                     NaN   \n",
       "12374                       NaN                  NaN                     NaN   \n",
       "12785                       NaN                  NaN                     NaN   \n",
       "13197                       NaN                  NaN                     NaN   \n",
       "13611                       NaN                  NaN                     NaN   \n",
       "\n",
       "       Transgender(Deceased Cases) Unknown(Deceased Cases)  \\\n",
       "373                            NaN                     NaN   \n",
       "782                            NaN                     NaN   \n",
       "1181                           NaN                     NaN   \n",
       "1576                           NaN                     NaN   \n",
       "1988                           NaN                     NaN   \n",
       "2389                           NaN                     NaN   \n",
       "2793                           NaN                     NaN   \n",
       "3377                           NaN                     NaN   \n",
       "3782                           NaN                     NaN   \n",
       "4190                           NaN                     NaN   \n",
       "4603                           1.0                     NaN   \n",
       "5012                           NaN                     NaN   \n",
       "5422                           NaN                     NaN   \n",
       "5828                           NaN                     NaN   \n",
       "6240                           NaN                     NaN   \n",
       "6658                           NaN                     NaN   \n",
       "6875                           NaN                     NaN   \n",
       "6990                           NaN                     NaN   \n",
       "7403                           NaN                     NaN   \n",
       "7813                           NaN                     NaN   \n",
       "8142                           NaN                     NaN   \n",
       "8478                           NaN                     NaN   \n",
       "8873                           NaN                     NaN   \n",
       "9280                           NaN                     NaN   \n",
       "9693                           NaN                     NaN   \n",
       "10094                          NaN                     NaN   \n",
       "10506                          NaN                     NaN   \n",
       "10918                          NaN                     NaN   \n",
       "11252                          NaN                     NaN   \n",
       "11664                          NaN                     NaN   \n",
       "12004                          NaN                     NaN   \n",
       "12374                          NaN                     NaN   \n",
       "12785                          NaN                     NaN   \n",
       "13197                          NaN                     NaN   \n",
       "13611                          NaN                     NaN   \n",
       "\n",
       "                                                 Source1  \\\n",
       "373                                                  NaN   \n",
       "782    https://twitter.com/ArogyaAndhra/status/139607...   \n",
       "1181   https://twitter.com/DirectorateofHS/status/139...   \n",
       "1576   https://twitter.com/nhm_assam/status/139613171...   \n",
       "1988   https://twitter.com/BiharHealthDept/status/139...   \n",
       "2389   https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "2793   https://twitter.com/HealthCgGov/status/1396155...   \n",
       "3377   https://twitter.com/CMODelhi/status/1396041763...   \n",
       "3782   https://www.goa.gov.in/wp-content/uploads/2021...   \n",
       "4190   https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "4603   http://www.nhmharyana.gov.in/WriteReadData/use...   \n",
       "5012   https://twitter.com/nhm_hp/status/139610373511...   \n",
       "5422   https://twitter.com/NHMJK5/status/139611893300...   \n",
       "5828   https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "6240                       https://t.co/DwQljUHBHo?amp=1   \n",
       "6658   https://dhs.kerala.gov.in/wp-content/uploads/2...   \n",
       "6875                                                 NaN   \n",
       "6990   https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "7403   https://twitter.com/healthminmp/status/1396098...   \n",
       "7813   https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "8142   https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "8478   https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "8873                                                 NaN   \n",
       "9280   https://twitter.com/MyGovNagaland/status/13961...   \n",
       "9693   https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "10094  https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "10506  https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "10918  https://twitter.com/airnews_jaipur/status/1396...   \n",
       "11252  https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "11664  https://stopcorona.tn.gov.in/wp-content/upload...   \n",
       "12004  https://twitter.com/IPRTelangana/status/139609...   \n",
       "12374  https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "12785  https://twitter.com/ShishirGoUP/status/1396102...   \n",
       "13197  https://twitter.com/DDnews_dehradun/status/139...   \n",
       "13611  https://www.wbhealth.gov.in/uploaded_files/cor...   \n",
       "\n",
       "                                                 Source2  \\\n",
       "373                          https://dhs.andaman.gov.in/   \n",
       "782    http://covid19.ap.gov.in/Covid19_Admin/index.html   \n",
       "1181   http://covid19.itanagarsmartcity.in/covidstatu...   \n",
       "1576                                                 NaN   \n",
       "1988                                                 NaN   \n",
       "2389                                http://chdcovid19.in   \n",
       "2793              http://www.cghealth.nic.in/cghealth17/   \n",
       "3377                       https://delhifightscorona.in/   \n",
       "3782                    https://www.goa.gov.in/covid-19/   \n",
       "4190                  https://gujcovid19.gujarat.gov.in/   \n",
       "4603            http://www.nhmharyana.gov.in/page?id=208   \n",
       "5012                                                 NaN   \n",
       "5422                                                 NaN   \n",
       "5828   https://twitter.com/rnuddkranchi/status/138347...   \n",
       "6240   https://twitter.com/DHFWKA/status/139611179214...   \n",
       "6658   https://dhs.kerala.gov.in/%E0%B4%A1%E0%B5%86%E...   \n",
       "6875                                                 NaN   \n",
       "6990   https://twitter.com/lakshadweep_ld/status/1353...   \n",
       "7403                             https://www.mpinfo.org/   \n",
       "7813   https://arogya.maharashtra.gov.in/1175/Novel--...   \n",
       "8142                http://nrhmmanipur.org/?page_id=2493   \n",
       "8478       http://meghalayaonline.gov.in/covid/login.htm   \n",
       "8873                                                 NaN   \n",
       "9280   https://twitter.com/MyGovNagaland/status/13659...   \n",
       "9693               https://statedashboard.odisha.gov.in/   \n",
       "10094                          https://health.py.gov.in/   \n",
       "10506          http://diprpunjab.gov.in/?q=press-release   \n",
       "10918                         http://rajswasthya.nic.in/   \n",
       "11252                         https://covid19sikkim.org/   \n",
       "11664       https://stopcorona.tn.gov.in/daily-bulletin/   \n",
       "12004                  https://covid19.telangana.gov.in/   \n",
       "12374  https://covid19.tripura.gov.in/Visitor/ViewSta...   \n",
       "12785  https://twitter.com/UPGovt/status/136854043968...   \n",
       "13197  https://health.uk.gov.in/pages/display/140-nov...   \n",
       "13611  https://www.wbhealth.gov.in/pages/corona/bulletin   \n",
       "\n",
       "                                                 Source3  Source 4  \n",
       "373                                                  NaN       NaN  \n",
       "782                   http://dashboard.covid19.ap.gov.in       NaN  \n",
       "1181                                                 NaN       NaN  \n",
       "1576                                                 NaN       NaN  \n",
       "1988                                                 NaN       NaN  \n",
       "2389                                                 NaN       NaN  \n",
       "2793                                                 NaN       NaN  \n",
       "3377                                                 NaN       NaN  \n",
       "3782   https://twitter.com/DHS_Goa/status/13174613101...       NaN  \n",
       "4190   https://twitter.com/GujHFWDept/status/13721955...       NaN  \n",
       "4603                                                 NaN       NaN  \n",
       "5012                                                 NaN       NaN  \n",
       "5422                                                 NaN       NaN  \n",
       "5828                                                 NaN       NaN  \n",
       "6240                                                 NaN       NaN  \n",
       "6658   https://dashboard.kerala.gov.in/quarantine-vie...       NaN  \n",
       "6875                                                 NaN       NaN  \n",
       "6990                                                 NaN       NaN  \n",
       "7403                                                 NaN       NaN  \n",
       "7813   https://www.covid19maharashtragov.in/mh-covid/...       NaN  \n",
       "8142   https://twitter.com/health_manipur/status/1367...       NaN  \n",
       "8478                               https://meghealth.in/       NaN  \n",
       "8873                                                 NaN       NaN  \n",
       "9280                                                 NaN       NaN  \n",
       "9693                                                 NaN       NaN  \n",
       "10094   https://covid19dashboard.py.gov.in/LabTestReport       NaN  \n",
       "10506          http://diprpunjab.gov.in/?q=press-release       NaN  \n",
       "10918  https://twitter.com/dineshkumawat/status/13602...       NaN  \n",
       "11252                                                NaN       NaN  \n",
       "11664       https://stopcorona.tn.gov.in/daily-bulletin/       NaN  \n",
       "12004                                                NaN       NaN  \n",
       "12374                                                NaN       NaN  \n",
       "12785  https://www.youtube.com/watch?t=171&v=raO1kfJf...       NaN  \n",
       "13197                                                NaN       NaN  \n",
       "13611                                                NaN       NaN  \n",
       "\n",
       "[35 rows x 55 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_latest =  tests[tests.Updated_On == '22-05-2021']\n",
    "test_latest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Updated_On</th>\n",
       "      <th>State</th>\n",
       "      <th>RT-PCR Test(Includes TrueNat,CBNAAT,CRISPR)</th>\n",
       "      <th>RAT(Rapid Antigen Test)</th>\n",
       "      <th>Other Tests</th>\n",
       "      <th>Total Tested</th>\n",
       "      <th>Tag (Total Tested)</th>\n",
       "      <th>Positive</th>\n",
       "      <th>Negative</th>\n",
       "      <th>Unconfirmed</th>\n",
       "      <th>...</th>\n",
       "      <th>Transgender(Confirmed Cases)</th>\n",
       "      <th>Unknown(Confirmed Cases)</th>\n",
       "      <th>Male(Deceased Cases)</th>\n",
       "      <th>Female(Deceased Cases)</th>\n",
       "      <th>Transgender(Deceased Cases)</th>\n",
       "      <th>Unknown(Deceased Cases)</th>\n",
       "      <th>Source1</th>\n",
       "      <th>Source2</th>\n",
       "      <th>Source3</th>\n",
       "      <th>Source 4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12785</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46419134.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/ShishirGoUP/status/1396102...</td>\n",
       "      <td>https://twitter.com/UPGovt/status/136854043968...</td>\n",
       "      <td>https://www.youtube.com/watch?t=171&amp;v=raO1kfJf...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7813</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Maharashtra</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32723361.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>https://arogya.maharashtra.gov.in/1175/Novel--...</td>\n",
       "      <td>https://www.covid19maharashtragov.in/mh-covid/...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1988</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Bihar</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28875658.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/BiharHealthDept/status/139...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6240</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Karnataka</td>\n",
       "      <td>23802801.0</td>\n",
       "      <td>4779402</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28582203.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.co/DwQljUHBHo?amp=1</td>\n",
       "      <td>https://twitter.com/DHFWKA/status/139611179214...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11664</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Tamil Nadu</td>\n",
       "      <td>26124748.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26124748.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://stopcorona.tn.gov.in/wp-content/upload...</td>\n",
       "      <td>https://stopcorona.tn.gov.in/daily-bulletin/</td>\n",
       "      <td>https://stopcorona.tn.gov.in/daily-bulletin/</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4190</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Gujarat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20870917.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>https://gujcovid19.gujarat.gov.in/</td>\n",
       "      <td>https://twitter.com/GujHFWDept/status/13721955...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6658</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Kerala</td>\n",
       "      <td>7155954.0</td>\n",
       "      <td>11447776</td>\n",
       "      <td>77321</td>\n",
       "      <td>18681051.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://dhs.kerala.gov.in/wp-content/uploads/2...</td>\n",
       "      <td>https://dhs.kerala.gov.in/%E0%B4%A1%E0%B5%86%E...</td>\n",
       "      <td>https://dashboard.kerala.gov.in/quarantine-vie...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3377</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>9727507.0</td>\n",
       "      <td>8889612</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18659148.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/CMODelhi/status/1396041763...</td>\n",
       "      <td>https://delhifightscorona.in/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>782</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18525758.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16963698</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/ArogyaAndhra/status/139607...</td>\n",
       "      <td>http://covid19.ap.gov.in/Covid19_Admin/index.html</td>\n",
       "      <td>http://dashboard.covid19.ap.gov.in</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12004</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Telangana</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14465371.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1765.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/IPRTelangana/status/139609...</td>\n",
       "      <td>https://covid19.telangana.gov.in/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13611</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>7055940.0</td>\n",
       "      <td>4800476</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11856416.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.wbhealth.gov.in/uploaded_files/cor...</td>\n",
       "      <td>https://www.wbhealth.gov.in/pages/corona/bulletin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9693</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Odisha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11241408.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>https://statedashboard.odisha.gov.in/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10918</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Rajasthan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10181510.0</td>\n",
       "      <td>Reports Received</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/airnews_jaipur/status/1396...</td>\n",
       "      <td>http://rajswasthya.nic.in/</td>\n",
       "      <td>https://twitter.com/dineshkumawat/status/13602...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1576</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Assam</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10089714.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/nhm_assam/status/139613171...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7403</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9228240.0</td>\n",
       "      <td>Reports Received</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9304133</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/healthminmp/status/1396098...</td>\n",
       "      <td>https://www.mpinfo.org/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4603</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Haryana</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8639800.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4662.0</td>\n",
       "      <td>2752.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.nhmharyana.gov.in/WriteReadData/use...</td>\n",
       "      <td>http://www.nhmharyana.gov.in/page?id=208</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10506</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8636245.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>http://diprpunjab.gov.in/?q=press-release</td>\n",
       "      <td>http://diprpunjab.gov.in/?q=press-release</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2793</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Chhattisgarh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8575166.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/HealthCgGov/status/1396155...</td>\n",
       "      <td>http://www.cghealth.nic.in/cghealth17/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5422</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Jammu and Kashmir</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8188640.0</td>\n",
       "      <td>Reports Received</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7921327</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/NHMJK5/status/139611893300...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5828</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Jharkhand</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8059453.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>329072.0</td>\n",
       "      <td>7730381</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>https://twitter.com/rnuddkranchi/status/138347...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13197</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Uttarakhand</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4475669.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4165200</td>\n",
       "      <td>17919.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/DDnews_dehradun/status/139...</td>\n",
       "      <td>https://health.uk.gov.in/pages/display/140-nov...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5012</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Himachal Pradesh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1822120.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1642876</td>\n",
       "      <td>1519.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/nhm_hp/status/139610373511...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10094</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Puducherry</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>980636.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>850822</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>https://health.py.gov.in/</td>\n",
       "      <td>https://covid19dashboard.py.gov.in/LabTestReport</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12374</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Tripura</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>851218.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>45220.0</td>\n",
       "      <td>805998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>https://covid19.tripura.gov.in/Visitor/ViewSta...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3782</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Goa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>783409.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.goa.gov.in/wp-content/uploads/2021...</td>\n",
       "      <td>https://www.goa.gov.in/covid-19/</td>\n",
       "      <td>https://twitter.com/DHS_Goa/status/13174613101...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8142</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Manipur</td>\n",
       "      <td>320561.0</td>\n",
       "      <td>358247</td>\n",
       "      <td>NaN</td>\n",
       "      <td>678808.0</td>\n",
       "      <td>Reports Received</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>http://nrhmmanipur.org/?page_id=2493</td>\n",
       "      <td>https://twitter.com/health_manipur/status/1367...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8478</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Meghalaya</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>532756.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>503878</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>http://meghalayaonline.gov.in/covid/login.htm</td>\n",
       "      <td>https://meghealth.in/</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1181</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>530121.0</td>\n",
       "      <td>Samples Collected</td>\n",
       "      <td>NaN</td>\n",
       "      <td>493576</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/DirectorateofHS/status/139...</td>\n",
       "      <td>http://covid19.itanagarsmartcity.in/covidstatu...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2389</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>481446.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>422124</td>\n",
       "      <td>86.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>http://chdcovid19.in</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9280</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Nagaland</td>\n",
       "      <td>139913.0</td>\n",
       "      <td>42596</td>\n",
       "      <td>NaN</td>\n",
       "      <td>182509.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/MyGovNagaland/status/13961...</td>\n",
       "      <td>https://twitter.com/MyGovNagaland/status/13659...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6990</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Lakshadweep</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>112080.0</td>\n",
       "      <td>Tested</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>https://twitter.com/lakshadweep_ld/status/1353...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11252</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Sikkim</td>\n",
       "      <td>85536.0</td>\n",
       "      <td>23637</td>\n",
       "      <td>NaN</td>\n",
       "      <td>109173.0</td>\n",
       "      <td>Samples Sent</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://t.me/Covid19india_Auxiliary_Test_Data/...</td>\n",
       "      <td>https://covid19sikkim.org/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://dhs.andaman.gov.in/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6875</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Ladakh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8873</th>\n",
       "      <td>22-05-2021</td>\n",
       "      <td>Mizoram</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>35 rows × 55 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Updated_On                        State  \\\n",
       "12785  22-05-2021                Uttar Pradesh   \n",
       "7813   22-05-2021                  Maharashtra   \n",
       "1988   22-05-2021                        Bihar   \n",
       "6240   22-05-2021                    Karnataka   \n",
       "11664  22-05-2021                   Tamil Nadu   \n",
       "4190   22-05-2021                      Gujarat   \n",
       "6658   22-05-2021                       Kerala   \n",
       "3377   22-05-2021                        Delhi   \n",
       "782    22-05-2021               Andhra Pradesh   \n",
       "12004  22-05-2021                    Telangana   \n",
       "13611  22-05-2021                  West Bengal   \n",
       "9693   22-05-2021                       Odisha   \n",
       "10918  22-05-2021                    Rajasthan   \n",
       "1576   22-05-2021                        Assam   \n",
       "7403   22-05-2021               Madhya Pradesh   \n",
       "4603   22-05-2021                      Haryana   \n",
       "10506  22-05-2021                       Punjab   \n",
       "2793   22-05-2021                 Chhattisgarh   \n",
       "5422   22-05-2021            Jammu and Kashmir   \n",
       "5828   22-05-2021                    Jharkhand   \n",
       "13197  22-05-2021                  Uttarakhand   \n",
       "5012   22-05-2021             Himachal Pradesh   \n",
       "10094  22-05-2021                   Puducherry   \n",
       "12374  22-05-2021                      Tripura   \n",
       "3782   22-05-2021                          Goa   \n",
       "8142   22-05-2021                      Manipur   \n",
       "8478   22-05-2021                    Meghalaya   \n",
       "1181   22-05-2021            Arunachal Pradesh   \n",
       "2389   22-05-2021                   Chandigarh   \n",
       "9280   22-05-2021                     Nagaland   \n",
       "6990   22-05-2021                  Lakshadweep   \n",
       "11252  22-05-2021                       Sikkim   \n",
       "373    22-05-2021  Andaman and Nicobar Islands   \n",
       "6875   22-05-2021                       Ladakh   \n",
       "8873   22-05-2021                      Mizoram   \n",
       "\n",
       "       RT-PCR Test(Includes TrueNat,CBNAAT,CRISPR) RAT(Rapid Antigen Test)  \\\n",
       "12785                                          NaN                     NaN   \n",
       "7813                                           NaN                     NaN   \n",
       "1988                                           NaN                     NaN   \n",
       "6240                                    23802801.0                 4779402   \n",
       "11664                                   26124748.0                     NaN   \n",
       "4190                                           NaN                     NaN   \n",
       "6658                                     7155954.0                11447776   \n",
       "3377                                     9727507.0                 8889612   \n",
       "782                                            NaN                     NaN   \n",
       "12004                                          NaN                     NaN   \n",
       "13611                                    7055940.0                 4800476   \n",
       "9693                                           NaN                     NaN   \n",
       "10918                                          NaN                     NaN   \n",
       "1576                                           NaN                     NaN   \n",
       "7403                                           NaN                     NaN   \n",
       "4603                                           NaN                     NaN   \n",
       "10506                                          NaN                     NaN   \n",
       "2793                                           NaN                     NaN   \n",
       "5422                                           NaN                     NaN   \n",
       "5828                                           NaN                     NaN   \n",
       "13197                                          NaN                     NaN   \n",
       "5012                                           NaN                     NaN   \n",
       "10094                                          NaN                     NaN   \n",
       "12374                                          NaN                     NaN   \n",
       "3782                                           NaN                     NaN   \n",
       "8142                                      320561.0                  358247   \n",
       "8478                                           NaN                     NaN   \n",
       "1181                                           NaN                     NaN   \n",
       "2389                                           NaN                     NaN   \n",
       "9280                                      139913.0                   42596   \n",
       "6990                                           NaN                     NaN   \n",
       "11252                                      85536.0                   23637   \n",
       "373                                            NaN                     NaN   \n",
       "6875                                           NaN                     NaN   \n",
       "8873                                           NaN                     NaN   \n",
       "\n",
       "      Other Tests  Total Tested Tag (Total Tested)  Positive  Negative  \\\n",
       "12785         NaN    46419134.0             Tested       NaN       NaN   \n",
       "7813          NaN    32723361.0             Tested       NaN       NaN   \n",
       "1988          NaN    28875658.0             Tested       NaN       NaN   \n",
       "6240          NaN    28582203.0             Tested       NaN       NaN   \n",
       "11664         NaN    26124748.0       Samples Sent       NaN       NaN   \n",
       "4190          NaN    20870917.0             Tested       NaN       NaN   \n",
       "6658        77321    18681051.0       Samples Sent       NaN       NaN   \n",
       "3377          NaN    18659148.0             Tested       NaN       NaN   \n",
       "782           NaN    18525758.0             Tested       NaN  16963698   \n",
       "12004         NaN    14465371.0             Tested       NaN       NaN   \n",
       "13611         NaN    11856416.0             Tested       NaN       NaN   \n",
       "9693          NaN    11241408.0                NaN       NaN       NaN   \n",
       "10918         NaN    10181510.0   Reports Received       NaN       NaN   \n",
       "1576          NaN    10089714.0             Tested       NaN       NaN   \n",
       "7403          NaN     9228240.0   Reports Received       NaN   9304133   \n",
       "4603          NaN     8639800.0       Samples Sent       NaN       NaN   \n",
       "10506         NaN     8636245.0       Samples Sent       NaN       NaN   \n",
       "2793          NaN     8575166.0             Tested       NaN       NaN   \n",
       "5422          NaN     8188640.0   Reports Received       NaN   7921327   \n",
       "5828          NaN     8059453.0             Tested  329072.0   7730381   \n",
       "13197         NaN     4475669.0             Tested       NaN   4165200   \n",
       "5012          NaN     1822120.0             Tested       NaN   1642876   \n",
       "10094         NaN      980636.0             Tested       NaN    850822   \n",
       "12374         NaN      851218.0             Tested   45220.0    805998   \n",
       "3782          NaN      783409.0       Samples Sent       NaN       NaN   \n",
       "8142          NaN      678808.0   Reports Received       NaN       NaN   \n",
       "8478          NaN      532756.0             Tested       NaN    503878   \n",
       "1181          NaN      530121.0  Samples Collected       NaN    493576   \n",
       "2389          NaN      481446.0             Tested       NaN    422124   \n",
       "9280          NaN      182509.0       Samples Sent       NaN       NaN   \n",
       "6990          NaN      112080.0             Tested       NaN       NaN   \n",
       "11252         NaN      109173.0       Samples Sent       NaN       NaN   \n",
       "373           NaN           NaN                NaN       NaN       NaN   \n",
       "6875          NaN           NaN                NaN       NaN       NaN   \n",
       "8873          NaN           NaN                NaN       NaN       NaN   \n",
       "\n",
       "       Unconfirmed  ...  Transgender(Confirmed Cases)  \\\n",
       "12785          NaN  ...                           NaN   \n",
       "7813           NaN  ...                           NaN   \n",
       "1988           NaN  ...                           NaN   \n",
       "6240           NaN  ...                           NaN   \n",
       "11664          NaN  ...                          38.0   \n",
       "4190           NaN  ...                           NaN   \n",
       "6658           NaN  ...                           NaN   \n",
       "3377           NaN  ...                           NaN   \n",
       "782            NaN  ...                           NaN   \n",
       "12004       1765.0  ...                           NaN   \n",
       "13611          NaN  ...                           NaN   \n",
       "9693           NaN  ...                           NaN   \n",
       "10918          NaN  ...                           NaN   \n",
       "1576           NaN  ...                           NaN   \n",
       "7403           NaN  ...                           NaN   \n",
       "4603           NaN  ...                          17.0   \n",
       "10506          NaN  ...                           NaN   \n",
       "2793           NaN  ...                           NaN   \n",
       "5422           NaN  ...                           NaN   \n",
       "5828           NaN  ...                           NaN   \n",
       "13197      17919.0  ...                           NaN   \n",
       "5012        1519.0  ...                           NaN   \n",
       "10094          NaN  ...                           NaN   \n",
       "12374          NaN  ...                           NaN   \n",
       "3782           NaN  ...                           NaN   \n",
       "8142           NaN  ...                           NaN   \n",
       "8478           NaN  ...                           NaN   \n",
       "1181           NaN  ...                           NaN   \n",
       "2389          86.0  ...                           NaN   \n",
       "9280           NaN  ...                           NaN   \n",
       "6990           NaN  ...                           NaN   \n",
       "11252          NaN  ...                           NaN   \n",
       "373            NaN  ...                           NaN   \n",
       "6875           NaN  ...                           NaN   \n",
       "8873           NaN  ...                           NaN   \n",
       "\n",
       "       Unknown(Confirmed Cases) Male(Deceased Cases)  Female(Deceased Cases)  \\\n",
       "12785                       NaN                  NaN                     NaN   \n",
       "7813                        NaN                  NaN                     NaN   \n",
       "1988                        NaN                  NaN                     NaN   \n",
       "6240                        NaN                  NaN                     NaN   \n",
       "11664                       NaN                  NaN                     NaN   \n",
       "4190                        NaN                  NaN                     NaN   \n",
       "6658                        NaN                  NaN                     NaN   \n",
       "3377                        NaN                  NaN                     NaN   \n",
       "782                         NaN                  NaN                     NaN   \n",
       "12004                       NaN                  NaN                     NaN   \n",
       "13611                       NaN                  NaN                     NaN   \n",
       "9693                        NaN                  NaN                     NaN   \n",
       "10918                       NaN                  NaN                     NaN   \n",
       "1576                        NaN                  NaN                     NaN   \n",
       "7403                        NaN                  NaN                     NaN   \n",
       "4603                        NaN               4662.0                  2752.0   \n",
       "10506                       NaN                  NaN                     NaN   \n",
       "2793                        NaN                  NaN                     NaN   \n",
       "5422                        NaN                  NaN                     NaN   \n",
       "5828                        NaN                  NaN                     NaN   \n",
       "13197                       NaN                  NaN                     NaN   \n",
       "5012                        NaN                  NaN                     NaN   \n",
       "10094                       NaN                  NaN                     NaN   \n",
       "12374                       NaN                  NaN                     NaN   \n",
       "3782                        NaN                  NaN                     NaN   \n",
       "8142                        NaN                  NaN                     NaN   \n",
       "8478                        NaN                  NaN                     NaN   \n",
       "1181                        NaN                  NaN                     NaN   \n",
       "2389                        NaN                  NaN                     NaN   \n",
       "9280                        NaN                  NaN                     NaN   \n",
       "6990                        NaN                  NaN                     NaN   \n",
       "11252                       NaN                  NaN                     NaN   \n",
       "373                         NaN                  NaN                     NaN   \n",
       "6875                        NaN                  NaN                     NaN   \n",
       "8873                        NaN                  NaN                     NaN   \n",
       "\n",
       "       Transgender(Deceased Cases) Unknown(Deceased Cases)  \\\n",
       "12785                          NaN                     NaN   \n",
       "7813                           NaN                     NaN   \n",
       "1988                           NaN                     NaN   \n",
       "6240                           NaN                     NaN   \n",
       "11664                          NaN                     NaN   \n",
       "4190                           NaN                     NaN   \n",
       "6658                           NaN                     NaN   \n",
       "3377                           NaN                     NaN   \n",
       "782                            NaN                     NaN   \n",
       "12004                          NaN                     NaN   \n",
       "13611                          NaN                     NaN   \n",
       "9693                           NaN                     NaN   \n",
       "10918                          NaN                     NaN   \n",
       "1576                           NaN                     NaN   \n",
       "7403                           NaN                     NaN   \n",
       "4603                           1.0                     NaN   \n",
       "10506                          NaN                     NaN   \n",
       "2793                           NaN                     NaN   \n",
       "5422                           NaN                     NaN   \n",
       "5828                           NaN                     NaN   \n",
       "13197                          NaN                     NaN   \n",
       "5012                           NaN                     NaN   \n",
       "10094                          NaN                     NaN   \n",
       "12374                          NaN                     NaN   \n",
       "3782                           NaN                     NaN   \n",
       "8142                           NaN                     NaN   \n",
       "8478                           NaN                     NaN   \n",
       "1181                           NaN                     NaN   \n",
       "2389                           NaN                     NaN   \n",
       "9280                           NaN                     NaN   \n",
       "6990                           NaN                     NaN   \n",
       "11252                          NaN                     NaN   \n",
       "373                            NaN                     NaN   \n",
       "6875                           NaN                     NaN   \n",
       "8873                           NaN                     NaN   \n",
       "\n",
       "                                                 Source1  \\\n",
       "12785  https://twitter.com/ShishirGoUP/status/1396102...   \n",
       "7813   https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "1988   https://twitter.com/BiharHealthDept/status/139...   \n",
       "6240                       https://t.co/DwQljUHBHo?amp=1   \n",
       "11664  https://stopcorona.tn.gov.in/wp-content/upload...   \n",
       "4190   https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "6658   https://dhs.kerala.gov.in/wp-content/uploads/2...   \n",
       "3377   https://twitter.com/CMODelhi/status/1396041763...   \n",
       "782    https://twitter.com/ArogyaAndhra/status/139607...   \n",
       "12004  https://twitter.com/IPRTelangana/status/139609...   \n",
       "13611  https://www.wbhealth.gov.in/uploaded_files/cor...   \n",
       "9693   https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "10918  https://twitter.com/airnews_jaipur/status/1396...   \n",
       "1576   https://twitter.com/nhm_assam/status/139613171...   \n",
       "7403   https://twitter.com/healthminmp/status/1396098...   \n",
       "4603   http://www.nhmharyana.gov.in/WriteReadData/use...   \n",
       "10506  https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "2793   https://twitter.com/HealthCgGov/status/1396155...   \n",
       "5422   https://twitter.com/NHMJK5/status/139611893300...   \n",
       "5828   https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "13197  https://twitter.com/DDnews_dehradun/status/139...   \n",
       "5012   https://twitter.com/nhm_hp/status/139610373511...   \n",
       "10094  https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "12374  https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "3782   https://www.goa.gov.in/wp-content/uploads/2021...   \n",
       "8142   https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "8478   https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "1181   https://twitter.com/DirectorateofHS/status/139...   \n",
       "2389   https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "9280   https://twitter.com/MyGovNagaland/status/13961...   \n",
       "6990   https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "11252  https://t.me/Covid19india_Auxiliary_Test_Data/...   \n",
       "373                                                  NaN   \n",
       "6875                                                 NaN   \n",
       "8873                                                 NaN   \n",
       "\n",
       "                                                 Source2  \\\n",
       "12785  https://twitter.com/UPGovt/status/136854043968...   \n",
       "7813   https://arogya.maharashtra.gov.in/1175/Novel--...   \n",
       "1988                                                 NaN   \n",
       "6240   https://twitter.com/DHFWKA/status/139611179214...   \n",
       "11664       https://stopcorona.tn.gov.in/daily-bulletin/   \n",
       "4190                  https://gujcovid19.gujarat.gov.in/   \n",
       "6658   https://dhs.kerala.gov.in/%E0%B4%A1%E0%B5%86%E...   \n",
       "3377                       https://delhifightscorona.in/   \n",
       "782    http://covid19.ap.gov.in/Covid19_Admin/index.html   \n",
       "12004                  https://covid19.telangana.gov.in/   \n",
       "13611  https://www.wbhealth.gov.in/pages/corona/bulletin   \n",
       "9693               https://statedashboard.odisha.gov.in/   \n",
       "10918                         http://rajswasthya.nic.in/   \n",
       "1576                                                 NaN   \n",
       "7403                             https://www.mpinfo.org/   \n",
       "4603            http://www.nhmharyana.gov.in/page?id=208   \n",
       "10506          http://diprpunjab.gov.in/?q=press-release   \n",
       "2793              http://www.cghealth.nic.in/cghealth17/   \n",
       "5422                                                 NaN   \n",
       "5828   https://twitter.com/rnuddkranchi/status/138347...   \n",
       "13197  https://health.uk.gov.in/pages/display/140-nov...   \n",
       "5012                                                 NaN   \n",
       "10094                          https://health.py.gov.in/   \n",
       "12374  https://covid19.tripura.gov.in/Visitor/ViewSta...   \n",
       "3782                    https://www.goa.gov.in/covid-19/   \n",
       "8142                http://nrhmmanipur.org/?page_id=2493   \n",
       "8478       http://meghalayaonline.gov.in/covid/login.htm   \n",
       "1181   http://covid19.itanagarsmartcity.in/covidstatu...   \n",
       "2389                                http://chdcovid19.in   \n",
       "9280   https://twitter.com/MyGovNagaland/status/13659...   \n",
       "6990   https://twitter.com/lakshadweep_ld/status/1353...   \n",
       "11252                         https://covid19sikkim.org/   \n",
       "373                          https://dhs.andaman.gov.in/   \n",
       "6875                                                 NaN   \n",
       "8873                                                 NaN   \n",
       "\n",
       "                                                 Source3  Source 4  \n",
       "12785  https://www.youtube.com/watch?t=171&v=raO1kfJf...       NaN  \n",
       "7813   https://www.covid19maharashtragov.in/mh-covid/...       NaN  \n",
       "1988                                                 NaN       NaN  \n",
       "6240                                                 NaN       NaN  \n",
       "11664       https://stopcorona.tn.gov.in/daily-bulletin/       NaN  \n",
       "4190   https://twitter.com/GujHFWDept/status/13721955...       NaN  \n",
       "6658   https://dashboard.kerala.gov.in/quarantine-vie...       NaN  \n",
       "3377                                                 NaN       NaN  \n",
       "782                   http://dashboard.covid19.ap.gov.in       NaN  \n",
       "12004                                                NaN       NaN  \n",
       "13611                                                NaN       NaN  \n",
       "9693                                                 NaN       NaN  \n",
       "10918  https://twitter.com/dineshkumawat/status/13602...       NaN  \n",
       "1576                                                 NaN       NaN  \n",
       "7403                                                 NaN       NaN  \n",
       "4603                                                 NaN       NaN  \n",
       "10506          http://diprpunjab.gov.in/?q=press-release       NaN  \n",
       "2793                                                 NaN       NaN  \n",
       "5422                                                 NaN       NaN  \n",
       "5828                                                 NaN       NaN  \n",
       "13197                                                NaN       NaN  \n",
       "5012                                                 NaN       NaN  \n",
       "10094   https://covid19dashboard.py.gov.in/LabTestReport       NaN  \n",
       "12374                                                NaN       NaN  \n",
       "3782   https://twitter.com/DHS_Goa/status/13174613101...       NaN  \n",
       "8142   https://twitter.com/health_manipur/status/1367...       NaN  \n",
       "8478                               https://meghealth.in/       NaN  \n",
       "1181                                                 NaN       NaN  \n",
       "2389                                                 NaN       NaN  \n",
       "9280                                                 NaN       NaN  \n",
       "6990                                                 NaN       NaN  \n",
       "11252                                                NaN       NaN  \n",
       "373                                                  NaN       NaN  \n",
       "6875                                                 NaN       NaN  \n",
       "8873                                                 NaN       NaN  \n",
       "\n",
       "[35 rows x 55 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Sorting data w.r.t number of cured cases\n",
    "max_tests_State=test_latest.sort_values(by=\"Total Tested\",ascending=False)\n",
    "max_tests_State"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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l739/Ou+9NzYjR45InTp1Urdu3XTsuFF69+6V7bbbIQcddGjatGmbJNlkk03TtGmzJMkaa6yZKVM+TePGjee7HS1atMx3vrN6kuRHP/p/+ec/38iwYXdlzJj/ZMqUKZk1a2ZpfoD/ZU8cAABQK1ZaaaW0a7deXnvtlbz88kvVh1J++OHEHHvskZk+fVq6dNk6Xbvumaqqqur1Pn8PXZLqy48//uiMGvVm2rf/QXr1Omq+5Rs2bJgkmTlzZo4++scZP/7/svHGndKjR8/q5S666Iqcdlq/VFVVpW/fEzNy5IgvjfXF8b7o8+0nye9/PzTXX391mjdvkR49eub73//+QtdZmkQcAABQa3beedfccMO1ad9+g9Sr99mBgY0aNcqaa343PXsemg4dNsjf/vaXVFZW1LiNqVOn5P33x+YnPzkuXbpsk6ef/msqKyu/tNz777+XsrKy9Op1VDbdtHP++te/pLKyMpMnT85hhx2QddZpl969j8vmm2+Zd94ZXeN4devWTUXFwufz0ksvZK+99stuu3VNeXl5Ro/+10LnsjSJOAAAoNZss832GT367eyyy4+qL6tfv34qKytz2GEH5KijDstaa62d8eNr/liBpk2bZY899s7hhx+YQw/tkZkzZ2b27NnzHVKZJO3arZd27dbPIYf0yOGHH5jmzVvkgw8mpEWLFtlrr31z9NG9ctRRh6W8vDzdu+9d43gtW7bKqquulj59jv3SdQceeEiGDLkxvXr1zFVXXZGOHTcq+UcilFWVel/f1/Txx9NTWfn1p9amzSo55Iw7l+KMFu6uSw/NpEnTSj4OAAAsqQ8+GJvVVlur+vsWzRqkXoOGi1jj65lXPieTpyzZRwywcAv+XyVJnTpladWqSY3rOLEJAACs4D4LLbG1onA4JQAAQIGIOAAAgAIRcQAAAAUi4gAAAApExAEAABSIs1MCAMAKrmmzhmnYoMFS3+6c8vJMnTJnqW+XRRNxAACwgmvYoEGOGHLSUt/uLUdelWTxEffyy//ImWeekjXW+G6qqqoyb97c7L33/jnwwINz2mknpl+/c/Pii89n5MgROeecAUt9nisaEQcAAJRc+/Ydcu21NyZJZs6ckcMOOzCbb75lLr/86mU8s+IRcQAAQK2aM2dO6tSpkyZNmqRHjz1zzTWDkyTjxr2fE044JhMnTkznzpvnzDP7Z968ebniiovz7rvv5JNPPkm7du0yYMCgfPLJJ+nbt0+aNWuehg0b5le/un4Z36raI+IAAICSe/vtUTniiENSVVWZcePez847/yitW7eZb5mJEz/ILbfclUaNGqdnz33y7rvvZOrUKalXr34GDx6SysrKnHjicXnuub+nffsOee+9sbnnnmvyne+svoxu1bIh4gAAgJL74uGUM2ZMT9++J+aOO26Zb5lNNtk0TZs2S5KsscaamTLl03TqtFmaNm2We+8dlvfeG5Nx497PrFmzkiQtWrT81gVc4iMGAACAWrbyyk2y884/yuuvvzrf5XXr1p3v+6qqqjzzzF/zi1+cm0aNGqVbt72y8cadUlVVlSRp2LBhrc15eSLiAACAWlVRUZGRI0dk/fV/sNhl//GPF7Pzzrume/e90qRJk4wcOSKVlRW1MMvll8MpAQBgBTenvPy/Hwew9Le7pD5/T1xZWTJv3ry0a7d+Dj30x3n00T8ucr0999w3559/Tp544rHUq1c/P/zhRhk/fnw22+ybzr64yqo+3xe5nPn44+mprPz6U2vTZpUccsadS3FGC3fXpYdm0qRpJR8HAACW1AcfjM1qq621rKfBEljY/1WdOmVp1apJjes4nBIAAKBARBwAAECBiDgAAIACEXEAAAAFIuIAAAAKRMQBAAAUiM+JAwCAFVzzVRqkfqOGS327c2fPyafTFv9ZcS+//I/89rc35tprb0ySzJw5IyeffHx++MON06fPKUt9Xkly882D07nzFtl44041LjNo0IB06rRZunXbsyRzKBURBwAAK7j6jRrm4V5HLvXtdrttSLIEEfdFM2fOTN++fdKp02b56U/7LPU5fW7kyBHp1GnF/ERwEQcAANSKWbNm5fTTT8qmm26eo4/+aZLk3nvvzqOPPpzZs2elfv36GTBgUL73vbXTo8ee2WCDjhk9+u2ce+4vctllF2adddbNv/71dlq2bJULLrg4TZs2W+j6b775Rt5+e1QuuWRgLrzw8kydOiU33nh95syZnWnTpufEE0/JdtvtWD2v2bNn55RTjs+uu+6e/fc/MIMHX5cRI17K1KlT07p16/ziFxelZctWy+in9mXeEwcAAJTcnDmzc8YZJ+edd/6dnj0PSZLMmDE9f/vbX3PttYNz++3DsvXW2+Xee4dVr9Oly9b53e/uS4sWLfPvf49Oz56H5vbbh6VJkyb5058eqXH9rl33SPv2HXLmmf2z7rrtcu+9d6dfv3Pz29/emX79+uemm35dPcbcuXNz9tmnZ6eddsn++x+YcePez3vvjckNN/w2Q4fel1VXXS2PPfZIrf+8FsWeOAAAoORGjfpnevc+LmuttXYuvnhgLrzwsqy8cpMMGDAwTzzxp7z//nt54YVns9567avX2WCDjtVft2jRMuuv/4MkyTrrtMvUqVMXu/7nzj33gjz77NP5y1+eyJtvvp5Zs2ZVX/eb39yQOnXKcuGFlyVJ1lzzuznhhFPy0EMP5L33xubNN1/PGmusWaofy9diTxwAAFByHTtulCOO6J0TTjgl7777Th544N5MnPhBjj32yEyfPi1dumydrl33TFVVVfU6DRv+72QsDRo0mG97VVVVi13/c8cff3RGjXoz7dv/IL16HTXfMrvuunu22mrb3Hzz4CTJW2+NyimnnJCqqsrstNMu2X77HRe6zWVJxAEAACVXr95nBwE2atQo5577i1x//dV57LGHs+aa303PnoemQ4cN8re//SWVlRVLvM233vpnjevXrVsvFRUVmTp1St5/f2x+8pPj0qXLNnn66b+msrKyehvrrbd+fvazE/OnPz2c0aPfziuvfHZClH326ZHvfvd7efbZZ+Zbfnkg4gAAgFq14YYd07PnIXnooeGprKzMYYcdkKOOOixrrbV2xo8fv8Tb2XzzLjWuv+WWW+Xyyy/K2LFjsscee+fwww/MoYf2yMyZMzN79uz5Dqls2rRZjjuuTy65ZFB22WW3/Pvf/0qvXj3Tp8+xad++QyZMWPI51YayquVt3+B/ffzx9FRWfv2ptWmzSg45486lOKOFu+vSQzNp0rSSjwMAAEvqgw/GZrXV1qr+fll/Thw1W/D/Kknq1ClLq1ZNalzHiU0AAGAF9+m08q/8eW4svxxOCQAAUCAiDgAAoEBEHAAAQIGIOAAAgAIRcQAAAAXi7JQAALCCa9a0cRo0XPov/cvnzMuUqbMWvyBLlYgDAIAVXIOG9XLhOb9f6ts9e1CPxS5zxRWX5PXXX828eXMzbtz7WXvtdZIkBxxwULp33+trjfvMM3/NW2+NSu/ex6VHjz1zzTWD853vrF59/csv/yN9+/bJzTffkXXWWbf68m237ZxnnvnHEo8zaNCAdOq0Wbp12/NrzbNURBwAAFAyffuemSSZMGF8+vQ5Nrfcctc33ua22+6QbbfdYbHLXXjh+Rk8eEjq1q37jcdcnog4AACg1o0cOSI33nh95syZnWnTpufEE0/JdtvtmEGDBqRRo8b517/eyvTp03LMMcfnsccezr///a9st92O6dPnlDz88EMZOXJEzjlnQI3b33DDH6Z+/fq5885b06vXUfNdN2PG9Fx00QWZNOnDfPTRpHTuvEX69Ts3SXLttVfm739/Jq1bt05lZWU6ddqsOkB///uHkiQ33zw4SfKTnxxbmh/OYog4AACg1t17793p1+/crLXW2hkx4qVcddXl2W67HZMkH300KYMHD8kjj/whF110fn73u/vSsGHD7LNPtxx55NFLPMaZZ56b3r0Py7bb7jDfYZXPPvtM1ltv/QwceEnmzp2bww47IG+//VYmTPi//Otfb+eOO4Zl2rRpOeKIg5b2zV4qRBwAAFDrzj33gjz77NP5y1+eyJtvvp5Zs/53gpQuXbZOkqy66mr5/vfXTYsWLZMkTZs2zbRpU5d4jNVWWy1HH/2z6sMqP/ejH/2//POfb2TYsLsyZsx/MmXKlMyaNTMjR47IDjvslHr16qVFixbp0mWbpXRrly4fMQAAANS6448/OqNGvZn27X+QXr2OSlVVVfV19evXr/76m76fbe+998sqq6ySO++8tfqy3/9+aK6//uo0b94iPXr0zPe///1UVVWlrKwsX5hG9difXf6/K+bNm/eN5vRNlTziLrnkkvTr16/UwwAAAAUxdeqUvP/+2PzkJ8elS5dt8vTTf01lZWXJxjvzzHMzbNj/Tqjy0ksvZK+99stuu3VNeXl5Ro/+VyorK9O58xb5858fT3l5eaZOnZoXXnguSdKkySqZOnVqJk+enPLy8urLl5WSHk753HPP5f7778+OO+5YymEAAIBFKJ8zb4k+DuDrbPfraNq0WfbYY+8cfviBqVevXjbddPPMnj17vkMql6bVVlstxxxzfC69dFCS5MADD8nll1+UO+4YkpVXbpKOHTfKhAnjs+ee+2TUqH+mV6+eadmyVfXHITRp0iSHHtorRx/dK23brpoNNtiwJPNcUmVVX9wvuBR9+umnOeaYY9KtW7e89dZbufjii7/S+h9/PD2VlV9/am3arJJDzrjza6+/pO669NBMmjSt5OMAAMCS+uCDsVlttbWW9TRYAgv7v6pTpyytWjWpcZ2S7Yn7+c9/nlNOOSUTJkz4WusvatLLmzZtVlnWUwAAgGofflgn9eo5/UUR1KlT5yv3REki7p577sl3vvOdbLXVVrnvvvu+1jaWxp642mJPHAAAy5PKysrMm1e695ix9FRWVn6pJ5bJnriHH344kyZNyt57750pU6Zk5syZufDCC3P22WeXYjgAAGABn59tkeXX131nW0kibsiQ/30Gw3333ZcXX3xRwAEAQC2pU6duKirmpV69+otfmGWmomJe6tT56h+h4EBZAABYwTRu3CTTpn2aqiqHVC6vqqoqM23a5DRu/NXPBVLSjxhIkv322y/77bdfqYcBAAD+q0mTZpk8eVImThyXpCQno+cbK0uDBo3SpEmzr7xmySMOAACoXWVlZWnZsu2yngYl4nBKAACAAhFxAAAABSLiAAAACkTEAQAAFIiIAwAAKBARBwAAUCAiDgAAoEBEHAAAQIGIOAAAgAIRcQAAAAUi4gAAAApExAEAABSIiAMAACgQEQcAAFAgIg4AAKBARBwAAECBiDgAAIACEXEAAAAFIuIAAAAKRMQBAAAUiIgDAAAoEBEHAABQICIOAACgQEQcAABAgYg4AACAAhFxAAAABSLiAAAACkTEAQAAFIiIAwAAKBARBwAAUCAiDgAAoEBEHAAAQIGIOAAAgAIRcQAAAAUi4gAAAApExAEAABSIiAMAACgQEQcAAFAgIg4AAKBARBwAAECBiDgAAIACEXEAAAAFIuIAAAAKRMQBAAAUiIgDAAAoEBEHAABQICIOAACgQEQcAABAgYg4AACAAhFxAAAABSLiAAAACkTEAQAAFIiIAwAAKBARBwAAUCAiDgAAoEBEHAAAQIGIOAAAgAIRcQAAAAUi4gAAAApExAEAABSIiAMAACgQEQcAAFAgIg4AAKBARBwAAECBiDgAAIACEXEAAAAFIuIAAAAKRMQBAAAUiIgDAAAoEBEHAABQICIOAACgQEQcAABAgYg4AACAAhFxAAAABVJvWU8AKJ0WzRqkXoOGtTLWvPI5mTylvFbGAgD4NhNxsAKr16BhRlzau1bG2uyM3yQRcQAApeZwSgAAgAIRcQAAAAUi4gAAAApExAEAABSIiAMAACgQEQcAAFAgIg4AAKBARBwAAECBiDgAAIACEXEAAAAFIuIAAAAKRMQBAAAUiIgDAAAoEBEHAABQICIOAACgQEQcAABAgYg4AACAAhFxAAAABSLiAAAACkTEAQAAFIiIAwAAKBARBwAAUCAiDgAAoEBEHAAAQIGIOAAAgAIpacRdddVV6datW7p3754hQ4aUcigAAIBvhXql2vCLL76Y559/Pg8++GDmzZuXbt26ZYcddsg666xTqiEBAABWeCXbE7fFFlvktttuS7169fLxxx+noqIiK620UqmGAwAA+FYo6eGU9evXz9VXX53u3btnq622yqqrrlrK4QAAAFZ4JTuc8nMnnnhijj766Bx33HEZNmxYevbsuUTrtWrVpMQzW3ratFllWU8BlgseCwAApVeyiHvnnXdSXl6eDh06pHHjxtltt93y9ttvL/H6H388PZWVVV97/Np8MTlp0rRaGwu+itqOKo8FAIBvrk6dskXu1CrZ4ZTjxo1L//79U15envLy8jz55JPZbLPNSjUcAADAt0LJ9sTtsMMOee2117LPPvukbt262W233dK9e/dSDQcAAPCtUNL3xPXp0yd9+vQp5RAAAADfKiU9OyUAAABLl4gDAAAoEBEHAABQICIOAACgQEQcAABAgYg4AACAAhFxAAAABVLSz4kDgGWtabOGadigQa2MNae8PFOnzKmVsQD49hJxAKzQGjZokCOGnFQrY91y5FVJRBwApeVwSgAAgAIRcQAAAAXicEoAgBVc81UapH6jhrUy1tzZc/LptPJaGQu+rUQcAMAKrn6jhnm415G1Mla324YkIg5KyuGUAAAABSLiAAAACkTEAQAAFIiIAwAAKBARBwAAUCAiDgAAoEBEHAAAQIGIOAAAgAIRcQAAAAUi4gAAAApExAEAABSIiAMAACgQEQcAAFAgIg4AAKBARBwAAECB1KvpisMPPzxlZWU1rnjbbbeVZEIAAADUrMaIO+yww5Ikjz/+eKZPn579998/devWzfDhw9O0adNamyAAAAD/U2PE7b777kmSm2++OUOHDk2dOp8debnjjjumZ8+etTM7AAAA5rPY98RNnjw5c+bMqf5+xowZmTJlSkknBQAAwMLVuCfuc3vssUcOPPDA/OhHP0pVVVUeffTRHHjggbUxNwAAABaw2Ig76aST0rFjxzz33HNJkn79+mWHHXYo+cQAAAD4ssVGXJK0adMm7dq1y3777Zc333yz1HMCAACgBot9T9y9996bs846K7/5zW8ybdq0/OxnP8uwYcNqY24AAAAsYLERd8cdd+Tuu+9OkyZN0qpVq9x333259dZba2NuAAAALGCxEVenTp00adKk+vvvfOc7qVu3bkknBQAAwMIt9j1xzZs3z6hRo1JWVpYkefDBB9OsWbOSTwwAAGBpada0cRo0XKJTgnxj5XPmZcrUWSXb/mJvxdlnn52TTjop7733Xrbddts0bNgw119/fckmBAAAsLQ1aFgvF57z+1oZ6+xBPUq6/cVG3DrrrJPhw4dnzJgxqaioyPe///3MnDmzpJMCAABg4Rb7nrj99tsvdevWzbrrrpv1118/9evXz6GHHlobcwMAAGABNe6J+/GPf5zXX389s2fPzqabblp9eWVlZX74wx/WyuQAAACYX40Rd9111+XTTz/N2WefnYsuuuh/K9SrlzZt2tTK5AAAAJhfjYdTNmnSJGuuuWZuu+22NGvWLGussUamTJmS5557LhUVFbU5RwAAAP5rsSc2ufrqqzN27Nj07ds3vXv3Trt27fLSSy9l0KBBtTE/AAAAvmCxJzZ56qmnMnDgwPzpT39K9+7dc9ttt+Wtt96qjbkBAACwgMVGXJI0btw4zz77bLp06ZIkKS8vL+mkAAAAWLjFRlyLFi0yYMCAvPHGG9l6661z+eWXp23btrUxNwAAABaw2Ii75JJL0rZt2wwePDiNGzdOWVlZLrnkktqYGwAAAAtYbMS1bt06++23Xz755JNUVFTk4IMPTuvWrWtjbgAAACxgiU5sctBBB+X888/Pxx9/nO7du+eJJ56ojbkBAACwgMVG3HXXXZdhw4aladOmadu2be66665cffXVtTE3AAAAFrDYiKuoqJjvRCYdOnRIWVlZSScFAADAwi024ho3bpzx48dXh9s//vGPNGzYsOQTAwAA4Mvq1XTFiBEjstlmm6Vv37456qijMmnSpPTs2TNjxozJNddcU5tzBAAA4L9qjLiBAwfm/vvvz6abbpphw4Zl5MiRqayszMYbb5yWLVvW5hwBAAD4rxojrqqqqvrrpk2bZocddqiVCQEAAFCzGiPuk08+yZAhQ2pc8cgjjyzJhAAAAKhZjRE3Z86c/Otf/6rNuQAAALAYNUbc6quvnosuuqg25wIAAMBi1PgRA198TxwAAADLhxoj7ogjjqjFaQAAALAkaoy4ffbZpxanAQAAwJKoMeIAAABY/og4AACAAqnx7JR/+tOfFrnibrvtttQnAwAAwKLVGHG33357jSuVlZWJOAAAgGXga0UcAAAAy0aNEfe5MWPG5I477sjMmTNTVVWVysrKjB07NkOHDq2N+QEAAPAFiz2xSd++fTN37tyMHDkya6yxRv79739n/fXXr425AQAAsIDFRtyMGTNy/vnnZ9ttt83222+fIUOG5JVXXqmFqQEAALCgxUZc8+bNkyRrrbVWRo8enaZNm6asrKzU8wIAAGAhFvueuLXWWiuDBg3Kvvvum3POOSczZ87MvHnzamNuAAAALGCxe+IGDBiQzp07Z4MNNsgBBxyQ559/PhdccEFtzA0AAIAFLDbiBg8enN133z1Jcsghh+S6667Lww8/XPKJAQAA8GU1Hk559dVXZ+rUqXn44Yczffr06svnzp2bZ555Jv3796+VCQIAAPA/NUbcxhtvnNdffz116tSpPrlJktStWzeXX355bcwNAACABdQYcTvssEN22GGHbL/99tloo40yb968VFVVpX79+rU5PwAAAL5gse+JW3311dO7d+9ssskm2WijjdKrV69MnDixNuYGAADAAhYbcRdccEE22WSTPPvss3n22WfTuXPnDBgwoBamBgAAwIIWG3FjxozJCSeckKZNm6ZFixY58cQT895779XG3AAAAFjAYiNu3rx5mTNnTvX3s2bNSllZWUknBQAAwMLVeGKT8vLyNGjQIN26dcsRRxyR/fbbL2VlZbn33nurPzcOAACA2lVjxPXs2TP3339/jj/++Ky22mp5+umnU1lZmf322y89evSozTkCAADwXzVGXFVVVfXX+++/f/bff/9amRAAAAA1qzHi5syZk3/+85/zxdwXbbjhhiWbFAAAAAtXY8S9//776dOnz0IjrqysLE8++WRJJwYAAMCX1Rhx7dq1ywMPPFCLUwEAAGBxFvsRAwAAACw/aoy4zp071+Y8AAAAWAI1Rlz//v1rcx4AAAAsAYdTAgAAFIiIAwAAKBARBwAAUCAiDgAAoEBEHAAAQIGIOAAAgAIRcQAAAAUi4gAAAApExAEAABSIiAMAACgQEQcAAFAg9Uq58WuvvTaPPPJIkmSHHXbIGWecUcrhAAAAVngl2xP37LPP5plnnsn999+fBx54IG+++WYef/zxUg0HAADwrVCyPXFt2rRJv3790qBBgyTJuuuum/Hjx5dqOAAAgG+FkkXceuutV/31mDFj8sgjj+R3v/vdEq/fqlWTUkyrJNq0WWVZTwGWCx4L4HEAiccBJKV9HJT0PXFJMnr06Bx77LE544wzsvbaay/xeh9/PD2VlVVfe9zafPKYNGlarY0FX0Vt/xL1WGB55HEAHgeQFOtxUKdO2SJ3apX07JQjRozIEUcckb59+2bfffct5VAAAADfCiXbEzdhwoQcf/zxufLKK7PVVluVahgAAIBvlZJF3M0335w5c+bk4osvrr7soIMOysEHH1yqIQEAAFZ4JYu4/v37p3///qXaPAAAwLdSSd8TBwAAwNIl4gAAAApExAEAABSIiAMAACgQEQcAAFAgIg4AAKBARBwAAECBiDgAAIACEXEAAAAFIuIAAAAKRMQBAAAUiIgDAAAoEBEHAABQICIOAACgQEQcAABAgYg4AACAAhFxAAAABSLiAAAACkTEAQAAFIiIAwAAKBARBwAAUCAiDgAAoEBEHAAAQIGIOAAAgAIRcQAAAAUi4gAAAApExAEAABSIiAMAACgQEQcAAFAgIg4AAKBARBwAAECBiDgAAIACEXEAAAAFIuIAAAAKRMQBAAAUiIgDAAAoEBEHAABQICIOAACgQEQcAABAgYg4AACAAhFxAAAABSLiAAAACkTEAQAAFIiIAwAAKBARBwAAUCAiDgAAoEBEHAAAQIGIOAAAgAIRcQAAAAUi4gAAAApExAEAABSIiAMAACgQEQcAAFAgIg4AAKBARBwAAECBiDgAAIACEXEAAAAFIuIAAAAKRMQBAAAUiIgDAAAoEBEHAABQICIOAACgQEQcAABAgYg4AACAAhFxAAAABSLiAAAACkTEAQAAFIiIAwAAKBARBwAAUCAiDgAAoEBEHAAAQIGIOAAAgAIRcQAAAAUi4gAAAApExAEAABSIiAMAACgQEQcAAFAgIg4AAKBARBwAAECBiDgAAIACEXEAAAAFIuIAAAAKRMQBAAAUiIgDAAAoEBEHAABQICIOAACgQEQcAABAgYg4AACAAhFxAAAABSLiAAAACkTEAQAAFIiIAwAAKBARBwAAUCAiDgAAoEBEHAAAQIGIOAAAgAIRcQAAAAUi4gAAAApExAEAABSIiAMAACgQEQcAAFAgIg4AAKBAShpx06dPzx577JFx48aVchgAAIBvjZJF3KuvvpqDDz44Y8aMKdUQAAAA3zoli7hhw4blvPPOS9u2bUs1BAAAwLdOvVJteNCgQaXaNAAAwLdWySLum2rVqsmynsISa9NmlWU9BVgueCyAxwEkHgeQlPZxsNxG3McfT09lZdXXXr82nzwmTZpWa2PBV1Hbv0Q9FlgeeRyAxwEkxXoc1KlTtsidWj5iAAAAoEBEHAAAQIGU/HDKP//5z6UeAgAA4FvDnjgAAIACEXEAAAAFIuIAAAAKRMQBAAAUiIgDAAAoEBEHAABQICIOAACgQEQcAABAgYg4AACAAhFxAAAABSLiAAAACkTEAQAAFIiIAwAAKBARBwAAUCAiDgAAoEBEHAAAQIGIOAAAgAIRcQAAAAUi4gAAAApExAEAABSIiAMAACgQEQcAAFAgIg4AAKBARBwAAECBiDgAAIACEXEAAAAFIuIAAAAKRMQBAAAUiIgDAAAoEBEHAABQICIOAACgQEQcAABAgYg4AACAAhFxAAAABSLiAAAACkTEAQAAFIiIAwAAKBARBwAAUCAiDgAAoEBEHAAAQIGIOAAAgAIRcQAAAAUi4gAAAApExAEAABSIiAMAACgQEQcAAFAgIg4AAKBARBwAAECBiDgAAIACEXEAAAAFIuIAAAAKRMQBAAAUiIgDAAAoEBEHAABQICIOAACgQEQcAABAgYg4AACAAhFxAAAABSLiAAAACkTEAQAAFIiIAwAAKBARBwAAUCAiDgAAoEBEHAAAQIGIOAAAgAIRcQAAAAUi4gAAAApExAEAABSIiAMAACgQEQcAAFAgIg4AAKBARBwAAECBiDgAAIACEXEAAAAFIuIAAAAKRMQBAAAUiIgDAAAoEBEHAABQICIOAACgQEQcAABAgYg4AACAAhFxAAAABSLiAAAACkTEAQAAFIiIAwAAKBARBwAAUCAiDgAAoEBEHAAAQIGIOAAAgAIRcQAAAAUi4gAAAApExAEAABSIiAMAACgQEQcAAFAgIg4AAKBARBwAAECBiDgAAIACEXEAAAAFIuIAAAAKRMQBAAAUiIgDAAAoEBEHAABQICIOAACgQEoacQ899FC6deuW3XbbLXfeeWcphwIAAPhWqFeqDU+cODFXXnll7rvvvjRo0CAHHXRQttxyy7Rr165UQwIAAKzwShZxzz77bLp06ZLmzZsnSXbfffc8+uijOeGEE5Zo/Tp1yr7xHFq3WPkbb2NJLI25Qqk0aNqq1sbyWGB51bpJy1oby+OA5VXj1n4fQLPmK9XaWN/kcbC4dcuqqqqqvvbWF2Hw4MGZOXNmTjnllCTJPffck9deey0XXHBBKYYDAAD4VijZe+IqKytTVva/gqyqqprvewAAAL66kkXcaqutlkmTJlV/P2nSpLRt27ZUwwEAAHwrlCzitt566zz33HP55JNPMmvWrPzpT3/K9ttvX6rhAAAAvhVKdmKTVVddNaecckp69eqVuXPnpkePHtloo41KNRwAAMC3QslObAIAAMDSV9IP+wYAAGDpEnEAAAAFIuIAAAAKRMQBAAAUiIgroXHjxmXnnXf+0uXt27dPkrz//vs5++yzkyTTpk3L8ccf/43G6tixY/bee+/ss88+6d69e4488sh88MEHX3ub9913X/r161dr67HsjBs3Lu3bt8/Pf/7z+S4fNWpU2rdvn/vuu6/GdXfeeeeMGzeu1FNMUvN965s+fljxvfDCC+nUqVP23nvv7LXXXunatWtuvfXWJMnRRx+diRMneu5iqXjhhRdy+OGHV38/ffr0HHjggbn44otLNubVV1+df/zjH4tcpl+/fot8LmfFdP7552fvvfdOt27dql8n7r333rn33nu/9jaffPLJXHXVVUkW/hrghRdeSMeOHTN69Oj5Lv/89e+Scp9dtJJ9xACLN378+Lz//vtJkilTpmTUqFHfaHtt27bN8OHDq7+/+OKLc+mll+aXv/zlN9ou3w7NmzfP008/nYqKitStWzdJ8vDDD6dly5bLeGaLtzQeP6z4OnbsmNtvvz3JZy+su3fvnm222SY33XTTMp4ZK6oZM2akd+/e2WKLLXLaaaeVbJyXXnopW265Zcm2T3Gdd955ST77Y22vXr3me534de2yyy7ZZZddFrtcv379MmzYsOrXFCxdIm4ZGjhwYMaNG5fzzz8/EyZMyIcffpjjjz8+1113Xa688so899xzmTJlStq2bZsrr7wyrVu3TpcuXdKxY8dMmjQpv//971O/fv0at7/llltWB9zOO++cjTbaKKNGjcpdd92V2267baHbf+CBB/LrX/86TZo0yRprrJGVVlopSfLaa6/loosuyuzZs9OiRYucf/75+e53v5shQ4bk/vvvT506dbLRRhvlF7/4RZJk7NixOfzwwzN+/PhstdVWGThwYOl/oHwjK6+8cn7wgx/kpZdeSpcuXZIkf//737P11lsnSe64444MHz48s2bNSv369XPFFVdknXXWSZJcd911GTVqVGbNmpVLL700G2+8cV588cVceeWVmT17dqZOnZqzzjoru+66a/r165dPP/00Y8eOzemnn545c+ZkyJAhmT17dsrLy3PhhRdm0003/Ur3rYEDB1Y/fs4666z07t07LVq0SKNGjXLNNdfk7LPPzsSJE/Phhx9mq622yqBBg1JWVrZsftAsF+bMmZO6detmlVVWyc4775zbbrstycLvX/PmzcuAAQMyevTofPTRR2nfvn1++ctf5qOPPprvvjZkyJBlfKtYnsycOTPHHHNMunTpkpNPPjlJzc+jX/wdfdlll+XnP/951ltvvYwaNSqtWrXKVVddlebNmy90/ddeey1vvPFG+vfvn2uvvTZTpkxZ6HPv52bNmpWjjjoqe+yxRw499NAaX2+wYlvU7+jGjRvnn//8Z6ZOnZpTTz01w4cPz1tvvVV9/X333ZcXX3xxkXuXO3XqlPr16+emm27KcccdN99106dPX+jv5eSzHRBPPfVU2rZtm4qKimyxxRbVAfrnP/85SXLNNdckSfr06VOin04xOJxyGerfv386duyY8847L/3790/btm1z3XXXZezYsXn33XczdOjQPPbYY/nOd76TBx98MEkyefLkHH300Rk+fPgiA27u3Ll57LHHsskmm1Rftv322+exxx7L9OnTF7r9iRMn5vLLL8+dd96Zu+++OzNmzEiSlJeXp3///rniiity//3358gjj8y5556bioqKDB48OPfee2/uu+++zJ07NxMnTkySTJgwIddcc00eeeSR/O1vf/vSLnWWT127ds1jjz2W5LNwb9++ferXr5/p06fniSeeyO23354//OEP2XHHHXPnnXdWr9euXbs88MADOfzww3PzzTcn+ezFysCBA3P//fdn4MCB1YdeJJ/t9XvkkUey4447ZujQobnhhhvy4IMPpnfv3rnxxhu/8n3ri4+fJPnPf/6Tyy67LEOGDMlTTz2VDh065O67785jjz2Wl156KW+++WZt/UhZjrzxxhvZe++9s+eee2bnnXfOFltskbZt2863zMLuXyNHjkz9+vVz99135/HHH8+0adPy17/+Ncn89zX43KxZs3LsscfmX//6V4444ogkWezz6Oe/o1u2bJm33norRx55ZP7whz+kadOmeeihh2pcf5999knHjh0zcODAtG/ffpHPvXPnzs0JJ5yQ3XffPYceeugiX2+wYlvU/eTDDz/M3XffnWOOOSZnnXVWzj///DzwwAMZNmxYpk2btsRjDBw4MLfccsuXXgPW9Hv5scceyz//+c/84Q9/yFVXXZX33ntvqd3eFZE9cSVUp86XG7mqqmqxewDWWmutnHnmmbnnnnvyn//8J6+88kq+973vVV+/8cYbL3S9Dz/8MHvvvXeSz8Jro402St++fb+0Xk3bHzlyZDp16lT9F7g999wzzz//fMaMGZP3338/P/3pT6u3NX369NStWzedOnVKjx49sssuu+TII4/MqquumiTp3LlzmjdvniT53ve+l8mTJy/ux8VyYOedd86vfvWrVFZW5pFHHknXrl3z8MMPp0mTJrniiivyxz/+MWPGjMnTTz+dDh06VK/3+V9527VrVx2Bl112Wf7yl7/k0Ucfzauvvlr9R4Ek2WijjZJ89hi57rrr8uc//zn/+c9/8uKLL6ZOnTpf+b7VuHHj+W5Hq1atsuaaayZJ9thjj7z22mu55ZZb8u677+bTTz/NzJkzS/MDZLm24OGUn//R4IsWdv/aYost0rx589x555159913M2bMmOr70Bfva/C5119/PSeddFLWWWed6j1ki3se/eLv9latWmWDDTZIkqy33nqZMmXKYtf/3KKee6+66qrUqVMn1157bZLFv95gxbWo+8n222+fJFl99dWz3nrrpVWrVkk++wPslClTlniM1VdfPaecckr1YZWfq+n38osvvpjddtst9evXT8uWLavnwcLZE1dCTZs2/dJfLD7++OM0a9Zskeu98cYb+clPfpLKysrsvvvu2XXXXVNVVVV9faNGjRa63ufviRs+fHgeeeSRXHLJJdUvRpKkYcOGi9x+WVnZfOPUq/dZ41dWVmbNNdes3vZ9992Xu+66K0ly/fXXZ8CAAamqqkrv3r3z4osvzrduki9tl+XX54dUjhgxIs8//3z1oZQTJkxIz549M23atGy//fbZd9995/s//fx49y/+geKQQw7Ja6+9lo4dO37pUIrP78MzZsxIjx49Mm7cuGy++ebznQzgm9y3vvgYuf3223PppZemZcuWOeyww7Luuuu6P5ImTZqka9euefnll+e7fGH3ryeffDKnnXZaGjVqlP322y+bb7559X2opudjvt06deqUn/3sZ+nXr19Gjx6doUOHLvZ59PPf0Qt+/fn9cHHrf25Rz73du3fPDjvskKuvvjrJ4l9vsOJa1P3ki0d6ffE58evo2bNnmjVrNt97j2v6vVzT69AFL583b943mtOKQsSVUJMmTbLWWmtV75lIkrvvvjtbbbVVks9e+H5+R6xXr1711y+99FK22GKLHHzwwVl77bXz1FNPpaKiYqnNq6btb7bZZnnllVcyceLEVFZW5uGHH06SrLPOOpkyZUr1ma/uvffenHbaafnkk0/SrVu3rL/++jnppJOyzTbb5O23315q82TZ6Nq1a6644op07Nix+gl0pZVWylprrZUjjjgiP/zhD/PEE08s8j756aefZsyYMTnppJOy/fbb58knn1zo8mPGjElZWVmOO+64bLnllnn88cdTUVHxle9bX3z8LOjvf/97evbsmb322itz5szJW2+9lcrKyq/4U2FFU1FRkRdffLF6b8eiPPfcc+natWv233//NG3aNC+88MJSfU5mxfP5i+DGjRvn0ksvzaWXXprhw4d/pefRBb3++us1rl+3bt1UVFQs9rm3Q4cOOf300/PQQw9l1KhRJX+9wfJpSX9HLy2fH1b5uZp+L2+11VZ55JFHUl5enilTpuTpp59O8tlOkU8//TSffPJJysvLqy//tnM4ZYlddtllGTBgQK677rrMnTt3vtO4r7vuupk2bVpOP/30XHjhhVl99dVz+OGH5/LLL88JJ5yQPffcM8lnhwAtzVO4d+vWbaHbb926dfr3758jjjgijRs3Trt27ZIkDRo0yFVXXZVBgwZlzpw5adKkSS655JK0bNkyPXv2TI8ePdK4ceN8//vfz/77759HH310qc2V2rfTTjvlnHPOyUknnVR9Wf369VNZWZlu3bqlqqoqm2+++SLf59i8efP06NEj3bt3T7169dKlS5fMnj37S4cx/uAHP0iHDh3StWvXlJWVZdttt82IESO+8n2rVatW1Y+fiy66aL7rfvzjH2fAgAG58cYb06RJk3Tq1KnWPhKB5cvn74krKyvLvHnz0r59++r3GC/KAQcckNNOOy1//OMfU79+/Wy66abuQyyxjTfeOEcccUTuueeefO9731vi59EFbbPNNvnd73630PW32267nHfeebnkkksW+9zbvHnz9O3bN/3798/1119f0tcbLJ+W9Hf00rL66qvn1FNPzbnnnpuk5t/LBxxwQF5//fXssccead26ddZdd90kySqrrJLevXunR48eWW211fLDH/6wJPMsmrIq+80BAAAKw+GUAAAABSLiAAAACkTEAQAAFIiIAwAAKBARBwAAUCAiDoAV3iuvvJLDDz88e+65Z/bYY4/07t27+vTsRx11VD755JPFbmNJlwOAUvM5cQCs0MrLy3Psscfmt7/9bTbccMMkyfDhw3P00UfnySefzN///vcl2s6SLgcApSbiAFihzZo1K9OmTZvvg2z32muvNGnSJP3790/y2YfP3njjjXnrrbcyePDglJeX55NPPsk+++yTk08+OWedddZ8y9WpUye/+MUvMmHChMydOzfdu3fPcccdt0xuHwDfPj7sG4AV3pAhQ/KrX/0qrVu3zqabbpott9wy3bt3T+PGjdO+ffs899xzadGiRXr16pULLrgga6+9diZOnJiddtopzzzzTFq2bFm9XMuWLdOrV68cccQR2XnnnTNnzpwcffTROeigg9KtW7dlfVMB+BYQcQB8K0yfPj0vvfRSXnrppTz55JNJkt///vfp3LlzdZzNmDEjTz31VP7zn//knXfeyaOPPponnngia6yxRnXENWrUKJtttlnWX3/96m3PnDkzXbt2zamnnrqsbh4A3yIOpwRghTZixIiMHDkyvXv3zk477ZSddtopp556avbYY4/53uc2c+bM7Lvvvtl1113TuXPn7L///nniiSey4N86KysrU1VVlaFDh6Zx48ZJkk8++SQNGzas1dsFwLeXs1MCsEJr2bJlfv3rX+cf//hH9WWTJk3K9OnTs/7666du3bqZN29exo4dm+nTp+fkk0/OzjvvnBdeeCHl5eWprKxMkurlmjRpkk022SRDhgxJkkydOjUHH3xw9d49ACg1h1MCsMJ7/vnnc8011+SDDz5Iw4YNs8oqq+T444/P9ttvn1NPPTVvvvlmrrrqqtx222154YUX0qBBg6y//vr597//nX79+mW77barXu6aa67JSiutlAsuuCDjx49PeXl59thjj/Tp02dZ30wAviVEHAAAQIE4nBIAAKBARBwAAECBiDgAAIACEXEAAAAFIuIAAAAKRMQBAAAUiIgDAAAoEBEHAABQIP8f7rKkEx/8DxAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Making bar-plot for states with max test cases\n",
    "sns.set(rc={'figure.figsize':(15,10)})\n",
    "sns.barplot(x=\"State\",y=\"Total Tested\",data=max_tests_State[0:5],hue=\"State\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Linear regression\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>state</th>\n",
       "      <th>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>deceased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2020-03-04</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2020-03-05</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2020-03-06</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2020-03-07</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15539</th>\n",
       "      <td>2021-05-18</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1637663</td>\n",
       "      <td>1483249</td>\n",
       "      <td>18072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15576</th>\n",
       "      <td>2021-05-19</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1644849</td>\n",
       "      <td>1502918</td>\n",
       "      <td>18352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15613</th>\n",
       "      <td>2021-05-20</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1651530</td>\n",
       "      <td>1516508</td>\n",
       "      <td>18588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15650</th>\n",
       "      <td>2021-05-21</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1659212</td>\n",
       "      <td>1534176</td>\n",
       "      <td>18760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15687</th>\n",
       "      <td>2021-05-22</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1665176</td>\n",
       "      <td>1551716</td>\n",
       "      <td>18978</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>445 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             date          state  confirmed  recovered  deceased\n",
       "23     2020-03-04  Uttar Pradesh          7          0         0\n",
       "30     2020-03-05  Uttar Pradesh          8          0         0\n",
       "37     2020-03-06  Uttar Pradesh          8          0         0\n",
       "46     2020-03-07  Uttar Pradesh          8          0         0\n",
       "55     2020-03-08  Uttar Pradesh          8          0         0\n",
       "...           ...            ...        ...        ...       ...\n",
       "15539  2021-05-18  Uttar Pradesh    1637663    1483249     18072\n",
       "15576  2021-05-19  Uttar Pradesh    1644849    1502918     18352\n",
       "15613  2021-05-20  Uttar Pradesh    1651530    1516508     18588\n",
       "15650  2021-05-21  Uttar Pradesh    1659212    1534176     18760\n",
       "15687  2021-05-22  Uttar Pradesh    1665176    1551716     18978\n",
       "\n",
       "[445 rows x 5 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-50-e3ffc88a74b9>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  up['date']=up['date'].apply(lambda x: datetime.strptime(x, '%Y-%m-%d')).map(dt.datetime.toordinal)\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<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>date</th>\n",
       "      <th>state</th>\n",
       "      <th>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>deceased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>737488</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>737489</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>737490</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>737491</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>737492</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      date          state  confirmed  recovered  deceased\n",
       "23  737488  Uttar Pradesh          7          0         0\n",
       "30  737489  Uttar Pradesh          8          0         0\n",
       "37  737490  Uttar Pradesh          8          0         0\n",
       "46  737491  Uttar Pradesh          8          0         0\n",
       "55  737492  Uttar Pradesh          8          0         0"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from datetime import datetime\n",
    "#converting date-time to ordinal\n",
    "up['date']=up['date'].apply(lambda x: datetime.strptime(x, '%Y-%m-%d')).map(dt.datetime.toordinal)\n",
    "up.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "#getting dependent variable and inpedent variable\n",
    "x=up['date']\n",
    "y=up['confirmed']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "lr = LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr.fit(np.array(x_train).reshape(-1,1),np.array(y_train).reshape(-1,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>state</th>\n",
       "      <th>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>deceased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15539</th>\n",
       "      <td>737928</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1637663</td>\n",
       "      <td>1483249</td>\n",
       "      <td>18072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15576</th>\n",
       "      <td>737929</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1644849</td>\n",
       "      <td>1502918</td>\n",
       "      <td>18352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15613</th>\n",
       "      <td>737930</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1651530</td>\n",
       "      <td>1516508</td>\n",
       "      <td>18588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15650</th>\n",
       "      <td>737931</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1659212</td>\n",
       "      <td>1534176</td>\n",
       "      <td>18760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15687</th>\n",
       "      <td>737932</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>1665176</td>\n",
       "      <td>1551716</td>\n",
       "      <td>18978</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date          state  confirmed  recovered  deceased\n",
       "15539  737928  Uttar Pradesh    1637663    1483249     18072\n",
       "15576  737929  Uttar Pradesh    1644849    1502918     18352\n",
       "15613  737930  Uttar Pradesh    1651530    1516508     18588\n",
       "15650  737931  Uttar Pradesh    1659212    1534176     18760\n",
       "15687  737932  Uttar Pradesh    1665176    1551716     18978"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "up.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[180080.04446864]])"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr.predict(np.array([[737630]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "float() argument must be a string or a number, not 'datetime.datetime'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-66-b84248edfd6e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     17\u001b[0m \u001b[0mdate_dt7\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstrptime\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdate_str3\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'%d-%m-%Y'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     18\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 19\u001b[1;33m \u001b[0mpredict_dt1\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mdate_dt1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     20\u001b[0m \u001b[0mpredict_dt2\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mdate_dt2\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     21\u001b[0m \u001b[0mpredict_dt3\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mdate_dt3\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_base.py\u001b[0m in \u001b[0;36mpredict\u001b[1;34m(self, X)\u001b[0m\n\u001b[0;32m    234\u001b[0m             \u001b[0mReturns\u001b[0m \u001b[0mpredicted\u001b[0m \u001b[0mvalues\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    235\u001b[0m         \"\"\"\n\u001b[1;32m--> 236\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_decision_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    237\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    238\u001b[0m     \u001b[0m_preprocess_data\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mstaticmethod\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_preprocess_data\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_base.py\u001b[0m in \u001b[0;36m_decision_function\u001b[1;34m(self, X)\u001b[0m\n\u001b[0;32m    216\u001b[0m         \u001b[0mcheck_is_fitted\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    217\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 218\u001b[1;33m         \u001b[0mX\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcheck_array\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maccept_sparse\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'csr'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'csc'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'coo'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    219\u001b[0m         return safe_sparse_dot(X, self.coef_.T,\n\u001b[0;32m    220\u001b[0m                                dense_output=True) + self.intercept_\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py\u001b[0m in \u001b[0;36minner_f\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     70\u001b[0m                           FutureWarning)\n\u001b[0;32m     71\u001b[0m         \u001b[0mkwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m{\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0marg\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mk\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0marg\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mparameters\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 72\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     73\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0minner_f\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     74\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py\u001b[0m in \u001b[0;36mcheck_array\u001b[1;34m(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator)\u001b[0m\n\u001b[0;32m    596\u001b[0m                     \u001b[0marray\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0marray\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcasting\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"unsafe\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    597\u001b[0m                 \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 598\u001b[1;33m                     \u001b[0marray\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0morder\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0morder\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    599\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mComplexWarning\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    600\u001b[0m                 raise ValueError(\"Complex data not supported\\n\"\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\numpy\\core\\_asarray.py\u001b[0m in \u001b[0;36masarray\u001b[1;34m(a, dtype, order)\u001b[0m\n\u001b[0;32m     81\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     82\u001b[0m     \"\"\"\n\u001b[1;32m---> 83\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0morder\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0morder\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     84\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     85\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: float() argument must be a string or a number, not 'datetime.datetime'"
     ]
    }
   ],
   "source": [
    "# Define dates as strings\n",
    "date_str1 = '23-05-2021'\n",
    "date_str2 = '24-05-2021'\n",
    "date_str3 = '25-05-2021'\n",
    "date_str4 = '26-05-2021'\n",
    "date_str5 = '27-05-2021'\n",
    "date_str6 = '28-05-2021'\n",
    "date_str7 = '29-05-2021'\n",
    "\n",
    "# Define dates as datetime objects\n",
    "date_dt1 = datetime.strptime(date_str3, '%d-%m-%Y')\n",
    "date_dt2 = datetime.strptime(date_str3, '%d-%m-%Y')\n",
    "date_dt3 = datetime.strptime(date_str3, '%d-%m-%Y')\n",
    "date_dt4 = datetime.strptime(date_str3, '%d-%m-%Y')\n",
    "date_dt5 = datetime.strptime(date_str3, '%d-%m-%Y')\n",
    "date_dt6 = datetime.strptime(date_str3, '%d-%m-%Y')\n",
    "date_dt7 = datetime.strptime(date_str3, '%d-%m-%Y')\n",
    "\n",
    "predict_dt1 = lr.predict(np.array([[date_dt1]]))\n",
    "predict_dt2 = lr.predict(np.array([[date_dt2]]))\n",
    "predict_dt3 = lr.predict(np.array([[date_dt3]]))\n",
    "predict_dt4 = lr.predict(np.array([[date_dt4]]))\n",
    "predict_dt5 = lr.predict(np.array([[date_dt5]]))\n",
    "predict_dt6 = lr.predict(np.array([[date_dt6]]))\n",
    "predict_dt7 = lr.predict(np.array([[date_dt7]]))\n",
    "\n",
    "# x axis values\n",
    "x = [date_str1,date_str2,date_str3,date_str4,date_str5,date_str6,date_str7]\n",
    "# corresponding y axis values\n",
    "y = [predict_dt1, predict_dt2, predict_dt3, predict_dt4, predict_dt5, predict_dt6, predict_dt7]\n",
    "\n",
    "# plotting the points\n",
    "plt.plot(x, y, color='green', linestyle='dashed', linewidth = 3,\n",
    "\t\tmarker='o', markerfacecolor='blue', markersize=12)\n",
    "\n",
    "# setting x and y axis range\n",
    "plt.ylim(1,8)\n",
    "plt.xlim(1,8)\n",
    "\n",
    "# naming the x axis\n",
    "plt.xlabel('Date')\n",
    "# naming the y axis\n",
    "plt.ylabel('Confirmed Cases')\n",
    "\n",
    "# giving a title to my graph\n",
    "plt.title('Covid Prediction for Uttar Pradesh')\n",
    "\n",
    "# function to show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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