How to Use

This guide can help you start working with covid19pyclient.

Retrieving Data

The class CovidData contains the methods which will return all data from the Covid API:

from covid19pyclient import CovidData

covid = CovidData()

The data are returned as dictionaries. Here’s an example:

data = covid.germany_total()

print(json.dumps(data, sort_keys=True, indent=4, ensure_ascii=False))

output:

{
    "cases": 3682911,
    "casesPer100k": 4428.3475391975035,
    "casesPerWeek": 29248,
    "deaths": 88595,
    "delta": {
        "cases": 1785,
        "deaths": 153,
        "recovered": 11714
    },
    "meta": {
        "contact": "Marlon Lueckert (m.lueckert@me.com)",
        "info": "https://github.com/marlon360/rki-covid-api",
        "lastCheckedForUpdate": "2021-06-01T08:17:40.241Z",
        "lastUpdate": "2021-05-31T23:00:00.000Z",
        "source": "Robert Koch-Institut"
    },
    "r": {
        "date": "2021-05-27T00:00:00.000Z",
        "value": 0.91
    },
    "recovered": 3498382,
    "weekIncidence": 35.16791712491793
}

Note

To convert the datetime strings of the API responses into Python datetime objects more conveniently this module contains a .datereader() function.


Categories

Depending on the kind of data you want to retrieve, the wrapper provides 10 methods:

[method for method in dir(CovidData) if '__' not in method]

[
'districts_timeseries',
'districts_total',
'germany_by_agegroups',
'germany_timeseries',
'germany_total',
'states_by_agegroups',
'states_total',
'testing_timeseries',
'vaccinations_timeseries',
'vaccinations_total'
]

These methods can be divided into 5 categories:

Prefix / Category

Meaning

Provided Data

germany_

Data on the whole country (germany)

accumulated, timeseries, age-groups

states_

Data are spatially divided into 16 states

accumulated, timeseries, age-groups

districts_

Data spatially divided into 412 districts

accumulated, timeseries, age-groups

vaccinations_

Data on vaccinations

accumulated, timeseries

testing_

Data on testing

accumulated, timeseries

In the next chapter you will see how to use the methods and how the returned data will look like.