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 |
|---|---|---|
|
Data on the whole country (germany) |
accumulated, timeseries, age-groups |
|
Data are spatially divided into 16 states |
accumulated, timeseries, age-groups |
|
Data spatially divided into 412 districts |
accumulated, timeseries, age-groups |
|
Data on vaccinations |
accumulated, timeseries |
|
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.