Documentation β’ Plot Examples
import json
from covid19pyclient import CovidData
covid = CovidData()
data = covid.germany_total()
print(json.dumps(data, sort_keys=True, indent=4, ensure_ascii=False))
{
"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
}
- Total number of COVID-19 related cases, deaths, incidence, recovered (country, by state, by district, by demographics)
- Timeseries data (country, districts, vaccinations, tests)
- And data derived therefrom
You can install covid19pyclient
with pip.
$ pip install covid19pyclient
Alternatively, you can download and install covid19pyclient
from github:
$ pip install git+https://github.com/NiklasTiede/Covid19PyClient
CovidData
's class methods return the requested as dictionary.
from covid19pyclient import CovidData
covid = CovidData()
Here's a list of all the methods which can be used to access different data about COVID-19 in germany:
covid.germany_total()
covid.germany_timeseries()
covid.germany_by_agegroups()
covid.districts_total()
covid.districts_timeseries()
covid.states_total()
covid.states_by_agegroups()
covid.vaccinations_total()
covid.vaccinations_timeseries()
covid.testing_timeseries()
For more information about these function, see Documentation.