
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 11:21:49 CEST


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


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


overview(country="Germany", subregion="LK Passau");


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


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

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Passau")
print(f'Population of country="Germany", subregion="LK Passau": {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 Passau": 194090 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: 0:02:33.728466

Germany: LK Passau (Bayern)¶

Explore the data in your web browser¶

Acknowledgements:¶

	total cases	daily new cases	total deaths	daily new deaths
date
2023-03-06	104168	5	655	0
2023-03-05	104163	4	655	0
2023-03-04	104159	2	655	0
2023-03-03	104157	20	655	0
2023-03-02	104137	15	655	0
2023-03-01	104122	24	655	0
2023-02-28	104098	48	655	0
2023-02-27	104050	64	655	0
2023-02-26	103986	3	655	0
2023-02-25	103983	23	655	0
2023-02-24	103960	24	655	0
2023-02-23	103936	67	655	0
2023-02-22	103869	31	655	0
2023-02-21	103838	53	655	0
2023-02-20	103785	30	655	0
2023-02-19	103755	6	655	0
2023-02-18	103749	18	655	0
2023-02-17	103731	46	655	0
2023-02-16	103685	32	655	0
2023-02-15	103653	46	655	0
2023-02-14	103607	50	655	0
2023-02-13	103557	36	655	0
2023-02-12	103521	11	655	0
2023-02-11	103510	12	655	0
2023-02-10	103498	41	655	0
2023-02-09	103457	32	655	0
2023-02-08	103425	54	655	0
2023-02-07	103371	65	655	0
2023-02-06	103306	43	655	0
2023-02-05	103263	11	655	0
2023-02-04	103252	16	655	0
2023-02-03	103236	43	655	0
2023-02-02	103193	54	655	0
2023-02-01	103139	51	655	0
2023-01-31	103088	58	655	0
2023-01-30	103030	72	655	0
2023-01-29	102958	8	655	0
2023-01-28	102950	19	655	0
2023-01-27	102931	37	655	0