
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 10:10:38 CEST


%config InlineBackend.figure_formats = ['svg']
from oscovida import *


overview(country="Germany", subregion="LK Rhein-Neckar-Kreis", weeks=5);


overview(country="Germany", subregion="LK Rhein-Neckar-Kreis");


compare_plot(country="Germany", subregion="LK Rhein-Neckar-Kreis", dates="2020-03-15:");


# load the data
cases, deaths = germany_get_region(landkreis="LK Rhein-Neckar-Kreis")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Rhein-Neckar-Kreis")
print(f'Population of country="Germany", subregion="LK Rhein-Neckar-Kreis": {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 Rhein-Neckar-Kreis": 549030 people


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.


# to force a fresh download of data, run "clear_cache()"


print(f"Notebook execution took: {datetime.datetime.now()-start}")

Notebook execution took: 0:02:58.707722

Germany: LK Rhein-Neckar-Kreis (Baden-Württemberg)¶

Explore the data in your web browser¶

Acknowledgements:¶

	total cases	daily new cases	total deaths	daily new deaths
date
2023-03-06	249388	75	922	0
2023-03-03	249313	52	922	0
2023-03-02	249261	94	922	1
2023-03-01	249167	384	921	2
2023-02-28	248783	97	919	0
2023-02-27	248686	211	919	0
2023-02-24	248475	185	919	0
2023-02-23	248290	179	919	1
2023-02-22	248111	211	918	0
2023-02-21	247900	213	918	0
2023-02-20	247687	350	918	0
2023-02-17	247337	257	918	0
2023-02-16	247080	431	918	0
2023-02-15	246649	156	918	0
2023-02-14	246493	258	918	0
2023-02-13	246235	333	918	0
2023-02-10	245902	281	918	0
2023-02-09	245621	222	918	0
2023-02-08	245399	257	918	0
2023-02-07	245142	250	918	1
2023-02-06	244892	267	917	0
2023-02-03	244625	198	917	1
2023-02-02	244427	307	916	0
2023-02-01	244120	244	916	0
2023-01-31	243876	280	916	1
2023-01-30	243596	243	915	2
2023-01-27	243353	166	913	1
2023-01-26	243187	154	912	1
2023-01-25	243033	184	911	0
2023-01-24	242849	237	911	1
2023-01-23	242612	153	910	1
2023-01-20	242459	113	909	0
2023-01-19	242346	144	909	0
2023-01-18	242202	138	909	0
2023-01-17	242064	136	909	0
2023-01-16	241928	176	909	2
2023-01-13	241752	103	907	0
2023-01-12	241649	115	907	0
2023-01-11	241534	176	907	0