rohitrajiit

px.scatter(data2, x="totalconfirmed", y="totaldeceased", 
           animation_frame=data2.date.astype(str), animation_group="state",
           size="totaltested", color="state", hover_name="state", 
           range_x=[0,450000], range_y=[0,16000]
           )

rohitrajiit

<script>

// set the dimensions and margins of the graph
var margin = {top: 10, right: 30, bottom: 30, left: 60},
    width = 460 - margin.left - margin.right,
    height = 400 - margin.top - margin.bottom;

// append the svg object to the body of the page
var svg = d3.select("#my_dataviz")
  .append("svg")

rohitrajiit

monthwise = df.groupby(['district','month']).last()['confirmed'].unstack()
monthwise['growth'] = monthwise[5]/monthwise[4]
growth = monthwise.drop(6, axis=1)[monthwise[5]>1000].dropna(subset=['growth'])
growth = growth.sort_values(by=['growth'], ascending = False)
growth.rename(columns ={4: 'Last day of April', 5: 'Last day of May'})

rohitrajiit

districts_daily = requests.get('https://api.covid19india.org/districts_daily.json')
districts_daily = districts_daily.text
districts_daily = json.loads(districts_daily)
states = []; districts = []; dates = []; active = []; confirmed = []
deceased = []; recovered = []
for state in districts_daily["districtsDaily"]:
    for district in districts_daily["districtsDaily"][state]:
        for day in districts_daily["districtsDaily"][state][district]:
            states.append(state)
            districts.append(district)

rohitrajiit

stateslist = ['Maharashtra', 'Gujarat', 'Delhi', 'Karnataka', 'Kerala',  'West Bengal']
for state in stateslist:
    statedata = data[data['state']==state]
    plt.plot(statedata['Dates'][-15:], statedata['dailytested'][-15:], label=state)
plt.title('Daily Tests ')
plt.legend()
plt.show()

rohitrajiit

stateslist = ['Maharashtra', 'Gujarat', 'Delhi', 'Karnataka', 'Kerala',  'West Bengal']
for state in stateslist:
    statedata = data[data['state']==state]
    plt.plot(statedata['Dates'], statedata['positive']/statedata['totaltested'], label=state)
plt.title('Test Positive Rate: Cumulative cases/Total tests ')
plt.legend()
plt.show()

rohitrajiit

data = data.sort_values(by=['state', 'Dates'])
data['dailypositive'] = data['positive'].diff()
data['dailytested'] = data['totaltested'].diff()

data.loc[data['state']!=data['state'].shift(1), 'dailytested'] = data['totaltested']
data.loc[data['state']!=data['state'].shift(1), 'dailypositive'] = data['positive']

rohitrajiit

data['Dates']= pandas.to_datetime(data['Dates'], format = '%d/%m/%Y')
data.loc[data['positive']=='','positive'] = None
data['positive'] =data['positive'].fillna(method='ffill')
data['positive'] = data['positive'].astype(int)

data.loc[data['totaltested']=='','totaltested'] = None
data['totaltested'] =data['totaltested'].fillna(method='ffill')
data['totaltested'] = data['totaltested'].astype(int)

rohitrajiit

states = []
totaltested= []
positive = []
dates= []

for state in state_json_data['states_tested_data']:
    states.append(state['state'])
    totaltested.append(state['totaltested'])
    positive.append(state['positive'])
    dates.append(state['updatedon'])

rohitrajiit

import requests
import pandas
import matplotlib.pyplot as plt
import json

html = requests.get('https://api.covid19india.org/state_test_data.json')
state_json_data = json.loads(html.text)