The Robert Koch-Institut (rki) maintains a dashboard with the development of verified covid19 infections in germany.
That dashboard provides an arcgis API. This repository uses that API to dump all data from the table RKI_COVID19 into a csv file for convenient consumption.
Daily Releases
>>> import pandas as pd
>>> df = pd.read_csv('https://github.com/ihucos/rki-covid19-data/releases/download/2020-04-03/data.csv')
>>>
>>> # Total verified infections as shown in dashboard
>>> df['AnzahlFall'][df['AnzahlFall'] > 0].sum()
79696
| IdBundesland | Bundesland | Landkreis | Altersgruppe | Geschlecht | AnzahlFall | AnzahlTodesfall | ObjectId | Meldedatum | IdLandkreis | Datenstand | NeuerFall | NeuerTodesfall |
| 10 | Saarland | LK Sankt Wendel | A60-A79 | W | 1 | 0 | 697852 | 1585785600000 | 10046 | "03.04.2020, 00:00 Uhr" | 1 | -9 |
| 10 | Saarland | LK Sankt Wendel | A80+ | M | 1 | 0 | 697853 | 1585699200000 | 10046 | "03.04.2020, 00:00 Uhr" | 0 | -9 |
| 10 | Saarland | LK Sankt Wendel | unbekannt | M | 1 | 0 | 697854 | 1583971200000 | 10046 | "03.04.2020, 00:00 Uhr" | 0 | -9 |
| 11 | Berlin | SK Berlin Mitte | A00-A04 | M | 1 | 0 | 697855 | 1583366400000 | 11001 | "03.04.2020, 00:00 Uhr" | 0 | -9 |
| 11 | Berlin | SK Berlin Mitte | A00-A04 | M | 1 | 0 | 697856 | 1583884800000 | 11001 | "03.04.2020, 00:00 Uhr" | 0 | - |
CI is triggered with https://cron-job.org/ at 1am Europe/Berlin to upload a new release