Home Python Project Covid-19 Tracker Application Using Python

Covid-19 Tracker Application Using Python

by anupmaurya
73 minutes read

Hope you are doing great!

Today, We are going to make Covid-19 Tracker Application Using Python which you can assume to be a medium level project as we will need to use three Python libraries.

Here, we are going to create a GUI application to track the COVID-19 cases.

We need to use three different libraries here.

  1. tkinter – The tkinter package (“Tk interface”) is the standard Python interface to the Tk GUI toolkit.
  2. matplotlibMatplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
  3. covid – to get COVID data

To install “matplotlib” go to terminal and type

"pip install matplotlib"

Python community has made a library to get the COVID-19 information easily called “covid“.

To install “covid” go to terminal and type

pip install covid

Note:For this program use python version >= 3.6

Code With Comments

Now lets see and understand the code.

# importing tkinter
from tkinter import *
# initializing tkinter
root = Tk()
# setting geometry
# 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
        # updating root
        # 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 commas 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
            # updating the root
        # for loop to get one country data stored as dict in list cases
        for y in cases:
            # storing every Country's confirmed cases in the confirmed list
            # storing every Country's active cases in the active list
            # storing every Country's deaths cases in the deaths list
            # storing every Country's recovered cases in the recovered list
        # marking the color information on scaleusing patches
        confirmed_patch = mpatches.Patch(color='green', label='confirmed')
        recovered_patch = mpatches.Patch(color='red', label='recovered')
        active_patch = mpatches.Patch(color='blue', label='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')
                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')
        # setting the title of the graph
        plt.title('Current Covid Cases')
        # giving label to x direction of graph
        plt.xlabel('Country Name')
        # giving label to y direction of graph
        plt.ylabel('Cases(in millions)')
        # showing the full graph
    except Exception as e:
        # asking user to enter correct details
        # during entering the country names on GUI
        # please differentiate the country names
        # with spaces or comma but not with both
        # otherwise you will come to this section
        data.set("Enter correct details again")

Label(root, text="Enter all countries names\nfor whom you want to get\ncovid-19 data", font="Consolas 15 bold").pack()
Label(root, text="Enter country name:").pack()
data = StringVar()
data.set("Seperate country names using comma or space(not both)")
entry = Entry(root, textvariable=data, width=50).pack()
Button(root, text="Get Data", command=showdata).pack()


Covid-19 Tracker Application : Output Screen 1
Covid-19 Tracker Application : Output Screen 1
Covid-19 Tracker Application: Output Screen 2
Covid-19 Tracker Application: Output Screen 2
Covid-19 Tracker Application: Output Screen 3
Covid-19 Tracker Application: Output Screen 3

In above bar chart you can see current covid cases around different countries like India ,United state & Japan.

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Adarsh Pal November 29, 2020 - 7:09 pm

Great content… 👍👌

anupmaurya April 22, 2021 - 6:55 pm

Thanks Adarsh!

Comments are closed.

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