SATYAM86400/COVID19

A repository for using the COVID module of python.

COVID19

---

As we can see that COVID19 virus is making such a great impact in this world. Python community has built a covid named library that you can import in your python file and can use that to get real time data for the spreading and advancement in COVID19 stats. This library gives us data prepared by the very prestigious Johns Hopkins University and worldometer.info.

More information can be found here.

Requirements

  python >= 3.6

Installation

pip install covid

Dependencies

pydantic
requests

Usage

Jhons Hopkins University

Getting all the data

Importing

from covid import Covid

covid = Covid()
covid.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
    },
    ...
]

Listing Countries

Listing all the countries affected with COVID19 is done by the following :-

countries = covid.list_countries()

Result

[ 

  {'id': '18', 'name': 'US'}, 
  {'id': '22', 'name': 'Brazil'}, 
  {'id': '14', 'name': 'Russia'},
  {'id': '17', 'name': 'United Kingdom'}, 
  {'id': '94', 'name': 'India'}
  ...
]

Getting Status by Country Name

You can easily get the status of a country by it's name only, as follows :-

india_cases = covid.get_status_by_country_name('india')

Result

{
'id': '94', 
'country': 'India',
'confirmed': 265869, 
'active': 129308, 
'deaths': 7473,
'recovered': 129088,
'latitude': 20.593684,
'longitude': 78.96288,
'last_update': 1591641212000
}

Getting Total Active Cases

active = covid.get_total_active_cases()
print(active)

Result

3479953

Getting Total Confirmed Cases

confirmed = covid.get_total_confirmed_cases()
print(confirmed)

Getting Total Recovered Cases

recovered = covid.get_total_recovered()
print(recovered)

Getting Total Deaths

deaths = covid.get_total_deaths()
print(deaths)

Change of source to worldometers.info

Like this

covid = Covid(source="worldometers")

Getting the data from worldometers.info

It is the same way as we did while using the Johns Hopkins API.

covid.get_data()

Result

[
  { 
    'country': 'USA',
    'confirmed': 1988700,
    'new_cases': 156,
    'deaths': 112101,
    'recovered': 752048,
    'active': 1124551,
    'critical': 17016,
    'new_deaths': 5,
    'total_tests': 20819906,
    'total_tests_per_million': Decimal('0'),
    'total_cases_per_million': Decimal('6010'),
    'total_deaths_per_million': Decimal('339'),
    'population': Decimal('330875237')
    },
 
 {
    'country': 'Brazil',
    'confirmed': 676494,
    'new_cases': 2907,
    'deaths': 36044,
    'recovered': 302084,
    'active': 338366,
    'critical': 8318,
    'new_deaths': 87,
    'total_tests': 999836,
    'total_tests_per_million': Decimal('0'),
    'total_cases_per_million': Decimal('3184'),
    'total_deaths_per_million': Decimal('170'),
    'population': Decimal('212459250')
    },
    ...
]

Getting Status by Country's Name

covid.get_status_by_country_name('india')

The above same functions are followed in this also. You can see the Jupyter notebook for experimentation and all.

Made with ♥ by Satyam Mishra