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https://www.facebook.com/permalink.php?story_fbid=1289077461428963&id=100009801635737

subscribed jay vijay

Python-Programs

python program for live corona graph.

import pandas as pd import seaborn as sns import matplotlib.pyplot as plt import mysql.connector as mysql import requests import math from bs4 import BeautifulSoup from prettytable import PrettyTable

from pandas import DataFrame import matplotlib.pyplot as plt import numpy as np from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg import tkinter as tk from tkinter import ttk

url='https://www.worldometers.info/coronavirus/' r = requests.get(url)

data =r.text soup=BeautifulSoup(data,'html.parser')

#Basic data print(soup.title.text) print() live_data = soup.find_all('div',id="maincounter-wrap") for i in live_data:

print(i.text)

print() all_rows = soup.find_all('tr')

print('Analyisis based on indivdual countries') print() #Extrs=acting table data table_body = soup.find('tbody') table_rows = table_body.find_all('tr')

no = [] countries = [] cases = [] todays =[] deaths = []

for tr in table_rows: td=tr.find_all('td') countries.append(td[1].text.strip()) cases.append(td[2].text.strip()) todays.append(td[3].text.strip()) deaths.append(td[4].text.strip()) #print(countries)

headers = ['Countries','Total cases','Todays cases','death'] df = pd.DataFrame(list(zip(countries[8:],cases[8:],todays[8:],deaths[8:])),columns=headers) df.to_csv('corona_analyse.csv')

df["Total cases"] = df["Total cases"].str.replace('[,.]', '').astype(int)

tc = list(df["Todays cases"]) for i in range(len(tc)): if(str(tc[i]) == ''): tc[i] = "0"

df["Todays cases"] = tc df["Todays cases"] = df["Todays cases"].str.replace('[+,]','').astype(int)

tc = list(df["death"]) for i in range(len(tc)): if(str(tc[i]) == ''): tc[i] = "0" df["death"] = tc df["death"] = df["death"].str.replace('[$,.]', '').astype(int)

#df.to_Mysql('coronaData.db') print(df)

y_pos =[i for i in range(1,len(countries)+1)]

plt.bar(y_pos,cases[::-1],align='center',alpha=0.5)

plt.xticks(y_pos,countries[::-1],rotation=5000)

plt.ylabel('Total Cases')

plt.title('Petsonals affect by corona')

plt.savefig('corona-analyse.png',dpi=600)

plt.show()

country = input("Enter the name of the country : ")

selectedCountry=country

if (country in list(df['Countries'])): #print("Hello1") country_details = df[df['Countries'].isin([country])] print(country_details) case_count = list(country_details["Total cases"])[0] todays_count = list(country_details["Todays cases"])[0] death_count = list(country_details["death"])[0] print("country: " + str(country)) print("case_count : " + str(case_count)) print("todays_count :" +str(todays_count)) print("death_count : " + str(death_count))

#--------------------------------------------------------- r=requests.get('https://pomber.github.io/covid19/timeseries.json') data = r.json()

def getChart():

#country=name.get()
country=selectedCountry
print(country)


if country=='':
    return
df=DataFrame(data[country])


figure = plt.figure()
subplot=figure.add_subplot(111)
subplot.plot(df['date'],df['confirmed'],label='confirmed',color='blue')
subplot.plot(df['date'],df['deaths'],label='deaths',color='red')
subplot.plot(df['date'],df['recovered'],label='recovered',color='green')

subplot.legend(loc='upper left')

start,end=subplot.get_xlim()
subplot.xaxis.set_ticks(np.arange(start,end,5))


for tick in subplot.get_xticklabels():
    tick.set_rotation(60)

#canvas = FigureCanvasTkAgg(figure)
#canvas.get_tk_widget().grid(row=1,column=4,columnspan=3,rowspan=20)
plt.show()

'''window =tk.Tk()

name=tk.StringVar() nameEntered=ttk.Entry(window,width=30,textvariable=name) nameEntered.grid(column=0,row=1)

button=ttk.Button(window,text="Search trend for country",command=getChart) button.grid(column=0,row=2) window.mainloop()'''

getChart()