Covid Tracker Using Python || Python Micro-Project

Covid Tracker Using Python

Today we will see the how to access the Covid data using Python. For this we will be using Covid Module develop by Johns Hopkins University and collects the data using worldometers.info website. This modules has the following information:

Active Covid Cases
Total Deaths
Total Cases
Total Recovered Cases
190 countries Data with above information

Module Installation

To install the Covid Module type the following:

pip install covid

This module has various functions to access the Covid Data that makes it easy to handle and collect the data.

Built-in Methods
Get_data()

Result:
[
    {
        'id': '53',
        'country': 'China',
        'confirmed': 81020,
        'active': 9960,
        'deaths': 3217,
        'recovered': 67843,
        'latitude': 30.5928,
        'longitude': 114.3055,
        'last_update': 1584097775000
    },
    {
        'id': '115',
        'country': 'Italy',
        'confirmed': 24747,
        'active': 20603,
        'deaths': 1809,
        'recovered': 2335,
        'latitude': 41.8719,
        'longitude': 12.5674,
        'last_update': 1584318130000
    },
    ...
]
List_Countries()

Result:
[
    {'id': '117', 'country': 'US'},
    {'id': '80', 'country': 'India'}
    ...
]
Get_Status_By_Country_Name('country_Name')

Result:
{
    'id': '80',
    'country': 'India',
    'confirmed': 9499413,
    'active': 428644,
    'deaths': 138122,
    'recovered': 8932647,
    'latitude': 20.593684,
    'longitude': 78.96288,
    'last_update': 1606915680000
}
Get_Status_By_Country_Id('Id')
Result:

{
    'id': '80',
    'country': 'India',
    'confirmed': 9499413,
    'active': 428644,
    'deaths': 138122,
    'recovered': 8932647,
    'latitude': 20.593684,
    'longitude': 78.96288,
    'last_update': 1606915680000
}
Get_Total_Active_Cases()
Result:

21347443
Get_Total_Deaths()

Get_Total_Recovered()

You can get access to the Module Documentation from here.

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