dataloadingline.py

import plotly.graph_objects as go
import requests
import pandas
import json


districts_daily = requests.get('https://api.covid19india.org/data.json')

districts_daily = districts_daily.text
districts_daily = json.loads(districts_daily)

totalactive = []
totalrecovered = []
totaldeceased = []
dailyactive = []
dailyrecovered = []
dailydeceased = []
date = []
for data in districts_daily['cases_time_series']:
    dailyactive.append(data['dailyconfirmed'])
    dailyrecovered.append(data['dailyrecovered'])
    dailydeceased.append(data['dailydeceased'])
    totalactive.append(data['totalconfirmed'])
    totalrecovered.append(data['totalrecovered'])
    totaldeceased.append(data['totaldeceased'])
    date.append(data['date'])
df = pandas.DataFrame({'dailyactive': dailyactive, 'dailyrecovered': dailyrecovered, 'dailydeceased': dailydeceased,
                       'totalactive': totalactive, 'totaldeceased': totaldeceased, 'totalrecovered': totalrecovered,
                       'date': date})

df['date'] = df['date'].str.strip()
df['date'] = pandas.to_datetime(df['date'] + ' 2020', format = '%d %B %Y')
df['totalactive'] = df['totalactive'].astype(int)
df['totalrecovered'] = df['totalrecovered'].astype(int)
df['totaldeceased'] = df['totaldeceased'].astype(int)
df['dailyactive'] = df['dailyactive'].astype(int)
df['dailyrecovered'] = df['dailyrecovered'].astype(int)
df['dailydeceased'] = df['dailydeceased'].astype(int)