CoronaLiveUpdate

# importing libraries

import requests
from bs4 import BeautifulSoup
from tabulate import tabulate
import os
import numpy as np
import matplotlib.pyplot as plt

extract_contents = lambda row: [x.text.replace('\n', '') for x in row] 
URL = 'https://www.mohfw.gov.in/'

SHORT_HEADERS = ['SNo', 'State','Indian-Confirmed(Including Foreign Confirmed)','Cured','Death'] 

response = requests.get(URL).content 
soup = BeautifulSoup(response, 'html.parser') 
header = extract_contents(soup.tr.find_all('th')) 

stats = [] 
all_rows = soup.find_all('tr') 

for row in all_rows: 
	stat = extract_contents(row.find_all('td')) 

	if stat: 
		if len(stat) == 4: 
			# last row 
			stat = ['', *stat] 
			stats.append(stat) 
		elif len(stat) == 5: 
			stats.append(stat) 

stats[-1][0] = len(stats) 
stats[-1][1] = "Total Cases"
objects = [] 
for row in stats : 
	objects.append(row[1]) 

y_pos = np.arange(len(objects)) 

performance = [] 
for row in stats[:len(stats)-1] : 
	performance.append(int(row[2])) 

performance.append(int(stats[-1][2][:len(stats[-1][2])-1]))

table = tabulate(stats, headers=SHORT_HEADERS) 
print(table) 
plt.barh(y_pos, performance, align='center', alpha=0.5, 
				color=(234/256.0, 128/256.0, 252/256.0), 
				edgecolor=(106/256.0, 27/256.0, 154/256.0)) 

plt.yticks(y_pos, objects) 
plt.xlim(1,performance[-1]+1000) 
plt.xlabel('Number of Cases') 
plt.title('Corona Virus Cases') 
plt.show()