
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 14:02:02 CEST


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


overview(country="Germany", subregion="LK Oberbergischer Kreis", weeks=5);


overview(country="Germany", subregion="LK Oberbergischer Kreis");


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


# load the data
cases, deaths = germany_get_region(landkreis="LK Oberbergischer Kreis")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Oberbergischer Kreis")
print(f'Population of country="Germany", subregion="LK Oberbergischer 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 Oberbergischer Kreis": 271621 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: 0:03:00.327914

Germany: LK Oberbergischer Kreis (Nordrhein-Westfalen)¶

Explore the data in your web browser¶

Acknowledgements:¶

	total cases	daily new cases	total deaths	daily new deaths
date
2023-03-03	131689	12	554	0
2023-03-02	131677	35	554	0
2023-03-01	131642	66	554	0
2023-02-28	131576	95	554	0
2023-02-27	131481	85	554	0
2023-02-26	131396	8	554	0
2023-02-25	131388	67	554	0
2023-02-24	131321	165	554	0
2023-02-23	131156	86	554	0
2023-02-22	131070	180	554	0
2023-02-21	130890	73	554	1
2023-02-20	130817	42	553	1
2023-02-19	130775	14	552	1
2023-02-18	130761	16	551	0
2023-02-17	130745	57	551	0
2023-02-16	130688	47	551	0
2023-02-15	130641	75	551	0
2023-02-14	130566	74	551	1
2023-02-13	130492	70	550	1
2023-02-12	130422	10	549	1
2023-02-11	130412	33	548	0
2023-02-10	130379	56	548	0
2023-02-09	130323	63	548	0
2023-02-08	130260	67	548	1
2023-02-07	130193	104	547	0
2023-02-06	130089	33	547	0
2023-02-05	130056	21	547	0
2023-02-04	130035	14	547	0
2023-02-03	130021	53	547	0
2023-02-02	129968	60	547	0
2023-02-01	129908	78	547	1
2023-01-31	129830	79	546	0
2023-01-30	129751	57	546	0
2023-01-29	129694	19	546	0
2023-01-28	129675	17	546	0
2023-01-27	129658	72	546	0
2023-01-26	129586	41	546	0
2023-01-25	129545	91	546	0
2023-01-24	129454	64	546	0