In [1]:
%run germany-compute-hospitalisierungsrate.ipynb
print(f"Data source: {data_url}")

Data source: https://github.com/robert-koch-institut/COVID-19-Hospitalisierungen_in_Deutschland/blob/master/Aktuell_Deutschland_COVID-19-Hospitalisierungen.csv?raw=true
In [2]:
# filter for the data we care about
data = germany_fetch_hospitalisierungs_inzidenz()
# select subset of data we care about
data = data[["Bundesland", "7T_Hospitalisierung_Inzidenz"]]

Table of most recent data points

In [3]:
today = hi.loc[hi.index.max()]
today.sort_values(by='7T_Hospitalisierung_Inzidenz', ascending=False)
Out[3]:
Bundesland 7T_Hospitalisierung_Inzidenz
Datum
2023-03-07 Saarland 10.79
2023-03-07 Bayern 10.28
2023-03-07 Thüringen 9.01
2023-03-07 Hessen 8.51
2023-03-07 Rheinland-Pfalz 8.04
2023-03-07 Nordrhein-Westfalen 7.27
2023-03-07 Bundesgebiet 6.61
2023-03-07 Mecklenburg-Vorpommern 5.96
2023-03-07 Brandenburg 5.95
2023-03-07 Bremen 5.77
2023-03-07 Berlin 5.76
2023-03-07 Sachsen-Anhalt 5.39
2023-03-07 Schleswig-Holstein 4.93
2023-03-07 Baden-Württemberg 4.12
2023-03-07 Niedersachsen 3.66
2023-03-07 Hamburg 2.86
2023-03-07 Sachsen 2.84

Plot Hospitalisierungs Inzidenz

In [4]:
fig, ax = plot_hi(data["2021-10-01":])
2023-03-07T16:49:22.981961 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/
In [5]:
import oscovida
oscovida.display_binder_link("germany-hospitalisierungsrate.ipynb")

Execute this notebook with Binder