Corona Virus Live Updates for India - Using Python

As we know the whole world is being affected by COVID-19 pandemic and almost everyone is working from home. We all should utilize this duration at best, to improve our technical skills or writing some good Pythonic scripts.

Let’s see a simple Python script to demonstrate the state-wise corona virus cases in India. This Python script fetches the live data from Ministry of Health Affairs Official Website. Then data is represented in the horizontal bar graph.

To run this script follow the below installation –

$ pip install bs4
$ pip install tabulate
$ pip install matplotlib
$ pip install numpy

Let’s try to execute the script step-by-step.

Step #1:

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

Step #2:

extract_contents = lambda row: [x.text.replace('\n', '') for x in row] 
URL = 'https://www.mohfw.gov.in/'
  
SHORT_HEADERS = ['SNo', 'State','Indian-Confirmed', 
                 '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) == 5: 
            # last row 
            stat = ['', *stat] 
            stats.append(stat) 
        elif len(stat) == 6: 
            stats.append(stat) 
  
stats[-1][1] = "Total Cases"
  
stats.remove(stats[-1]) 

Step #3:

objects = [] 
for row in stats : 
    objects.append(row[1])  
  
y_pos = np.arange(len(objects)) 
  
performance = [] 
for row in stats : 
    performance.append(int(row[2]) + int(row[3])) 
  
table = tabulate(stats, headers=SHORT_HEADERS) 
print(table) 

Output:

Step #4:

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(1,80) 
plt.xlabel('Number of Cases') 
plt.title('Corona Virus Cases') 
plt.show() 

Output:

My Personal Notes

Apr	MAY	Jun
	09
2019	2020	2021

Corona Virus Live Updates for India – Using Python

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