covid tracker.py

# importing tkinter
from tkinter import *
# initializing tkinter
root = Tk()
# setting geometry 
root.geometry("350x350")
# setting title
root.title("Get Covid-19 Data Country Wise")

#function which will get covid data and will show it
def showdata():
    # importing matplotlib which will be used to show data graphically
    from matplotlib import pyplot as plt
    # to scale the data we are importing patches
    import matplotlib.patches as mpatches
    # importing covid library
    from covid import Covid
    # initializing covid library
    covid = Covid()
    # declaring empty lists to store different data sets
    cases = []
    confirmed = []
    active =[]
    deaths = []
    recovered = []
    # using try and except to run program without errors
    try:
        # updating root
        root.update()
        # getting countries names entered by the user 
        countries = data.get()
        # removing white spaces from the start and end of the string
        country_names = countries.strip()
        # replacing white spaces with comma inside the string
        country_names = country_names.replace(" ",",")
        # splitting the string to store names of countries 
        # as a list
        country_names = country_names.split(",")
        # for loop to get all countries data
        for x in country_names:
            # appending countries data one-by-one in cases list 
            # here, the data will be stored as a dictionary
            # for one country i.e. for each country
            # there will be one dictionary in the list
            # which will contain the whole information
            # of that country 
            cases.append(covid.get_status_by_country_name(x))
            #updating the root
            root.update()
        # for loop to get one country data stored as dict in list cases
        for y in cases:
            # storing every Country's confirmed cases in confirmed list 
            confirmed.append(y["confirmed"])
            # storing every Country's active cases in the active list
            active.append(["active"])
            # storing every Country's deaths cases in the deaths list
            deaths.append(["deaths"])
            # storing every Country's recovered cases in recovered list
            recovered.append(["recovered"])
        # making the color information on scaleusing patches 
        confirmed_patch = mpatches.Patch(color='green', lable='confirmed')
        recovered_patch = mpatches.Patch(color='red', lable='recovered')
        active_patch = mpatches.Patch(color='blue', lable='active')
        deaths_patch = mpatches.Patch(color='black', label='deaths')
        # plotting the scale on graph using legend() 
        plt.legend(handles=[confirmed_patch, recovered_patch, active_patch, deaths_patch])
        # showing the data using graphs
        # this whole for loop section is related to matplotlib
        for x in range(len(country_names)):
            plt.bar (country_names[x], confirmed[x], color='green')
            if recovered[x] > active[x]:
                plt.bar(country_names[x], recovered[x], color='red')
                plt.bar(country_names[x], active[x], color='blue')
            else:
                plt.bar(country_names[x], active[x], color='blue')
                plt.bar(country_names[x], recovered[x], color='red')
            plt.bar(country_names[x], deaths[x], color='black')