Germany: LK Ostalbkreis (Baden-Württemberg)¶

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In [1]:
import datetime
import time

start = datetime.datetime.now()
print(f"Notebook executed on: {start.strftime('%d/%m/%Y %H:%M:%S%Z')} {time.tzname[time.daylight]}")

Notebook executed on: 07/03/2023 10:01:41 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Ostalbkreis", weeks=5);
2023-03-07T10:01:53.894415 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 60 60 80 80 100 100 7-day incidence rate (per 100K people) 59.0 LK Ostalbkreis, Germany, last 5 weeks, last data point from 2023-03-06 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 10 20 30 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.0 0.1 0.2 0.3 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Germany-LK Ostalbkreis cases daily growth factor Germany-LK Ostalbkreis cases daily growth factor (rolling mean) Germany-LK Ostalbkreis estimated R (using cases) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) Germany-LK Ostalbkreis deaths daily growth factor Germany-LK Ostalbkreis deaths daily growth factor (rolling mean) Germany-LK Ostalbkreis estimated R (using deaths) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 2000 4000 6000 cases doubling time [days] Germany-LK Ostalbkreis doubling time cases (rolling mean) 0.0 31.5 63.0 94.5 daily change Germany-LK Ostalbkreis new cases (rolling 7d mean) Germany-LK Ostalbkreis new cases 0.000 0.315 0.630 0.945 daily change Germany-LK Ostalbkreis new deaths (rolling 7d mean) Germany-LK Ostalbkreis new deaths 0.000 0.315 0.631 0.946
In [4]:
overview(country="Germany", subregion="LK Ostalbkreis");
2023-03-07T10:02:51.528198 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 0 1000 1000 2000 2000 7-day incidence rate (per 100K people) 59.0 LK Ostalbkreis, Germany, last data point from 2023-03-06 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 200 400 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 1 2 3 4 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Germany-LK Ostalbkreis cases daily growth factor Germany-LK Ostalbkreis cases daily growth factor (rolling mean) Germany-LK Ostalbkreis estimated R (using cases) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) Germany-LK Ostalbkreis deaths daily growth factor Germany-LK Ostalbkreis deaths daily growth factor (rolling mean) Germany-LK Ostalbkreis estimated R (using deaths) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 2000 4000 6000 8000 cases doubling time [days] Germany-LK Ostalbkreis doubling time cases (rolling mean) Germany-LK Ostalbkreis doubling time deaths (rolling mean) 0 630 1260 daily change Germany-LK Ostalbkreis new cases (rolling 7d mean) Germany-LK Ostalbkreis new cases 0.00 3.15 6.30 9.45 12.60 daily change Germany-LK Ostalbkreis new deaths (rolling 7d mean) Germany-LK Ostalbkreis new deaths 0.0 152.5 305.0 457.6 610.1 deaths doubling time [days]
In [5]:
compare_plot(country="Germany", subregion="LK Ostalbkreis", dates="2020-03-15:");
2023-03-07T10:04:54.125176 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 2020-05 2020-09 2021-01 2021-05 2021-09 2022-01 2022-05 2022-09 2023-01 0.1 0.1 1 1 10 10 100 100 daily new cases (rolling 7-day mean) normalised by 100K people Daily cases (top) and deaths (below) for Germany: LK Ostalbkreis LK Ostalbkreis Bayern Berlin Bremen Hamburg Hessen Nordrhein-Westfalen Sachsen-Anhalt 2020-05 2020-09 2021-01 2021-05 2021-09 2022-01 2022-05 2022-09 2023-01 0.001 0.001 0.01 0.01 0.1 0.1 1 1 daily new deaths (rolling 7-day mean) normalised by 100K people LK Ostalbkreis Bayern Berlin Bremen Hamburg Hessen Nordrhein-Westfalen Sachsen-Anhalt
In [6]:
# load the data
cases, deaths = germany_get_region(landkreis="LK Ostalbkreis")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Ostalbkreis")
print(f'Population of country="Germany", subregion="LK Ostalbkreis": {inhabitants} people')

# compose into one table
table = compose_dataframe_summary(cases, deaths)

# show tables with up to 1000 rows
pd.set_option("display.max_rows", 1000)

# display the table
table

Population of country="Germany", subregion="LK Ostalbkreis": 315009 people
Out[6]:
total cases daily new cases total deaths daily new deaths
date
2023-03-06 151481 29 637 0
2023-03-03 151452 18 637 0
2023-03-02 151434 31 637 0
2023-03-01 151403 58 637 0
2023-02-28 151345 50 637 0
... ... ... ... ...
2020-03-12 18 8 0 0
2020-03-11 10 5 0 0
2020-03-10 5 1 0 0
2020-03-09 4 1 0 0
2020-03-04 3 2 0 0

1003 rows × 4 columns

Explore the data in your web browser¶

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Acknowledgements:¶

  • Johns Hopkins University provides data for countries
  • Robert Koch Institute provides data for within Germany
  • Atlo Team for gathering and providing data from Hungary (https://atlo.team/koronamonitor/)
  • Open source and scientific computing community for the data tools
  • Github for hosting repository and html files
  • Project Jupyter for the Notebook and binder service
  • The H2020 project Photon and Neutron Open Science Cloud (PaNOSC)
In [7]:
print(f"Download of data from Johns Hopkins university: cases at {fetch_cases_last_execution()} and "
      f"deaths at {fetch_deaths_last_execution()}.")

Download of data from Johns Hopkins university: cases at 07/03/2023 09:31:22 and deaths at 07/03/2023 09:31:21.
In [8]:
# to force a fresh download of data, run "clear_cache()"
In [9]:
print(f"Notebook execution took: {datetime.datetime.now()-start}")

Notebook execution took: 0:05:46.394695