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)

rohitrajiit

import pandas
import tkinter as tk
from tkinter import filedialog
import os

def analysis():
	path = filedialog.askopenfilename()
	data = pandas.read_excel(path)
	groups = data.groupby('Group')
	table = groups.agg({'Revenue':sum, 'Group': len})

rohitrajiit

Sub workbookcreator()
    Dim MyPath As String, FilesInPath As String, Outputpath As String
    Dim MyFiles() As String, dd() As String, columnsname As String
    Dim FNum As Long, kk As Long, no_ent As Long
    Dim mybook As Workbook
    Dim sheetsname As Variant, ee() As Variant
    Application.AskToUpdateLinks = False
    ' Change this to the path\folder location of your files.
    MyPath = "path to data files\data"
    Outputpath = "path to output folder\output"

rohitrajiit

license: mit

rohitrajiit

license: mit