
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 14:32:24 CEST


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


overview(country="Germany", subregion="SK Wuppertal", weeks=5);


overview(country="Germany", subregion="SK Wuppertal");


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


# load the data
cases, deaths = germany_get_region(landkreis="SK Wuppertal")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="SK Wuppertal")
print(f'Population of country="Germany", subregion="SK Wuppertal": {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="SK Wuppertal": 354572 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: 0:02:50.566474

Germany: SK Wuppertal (Nordrhein-Westfalen)¶

Explore the data in your web browser¶

Acknowledgements:¶

	total cases	daily new cases	total deaths	daily new deaths
date
2023-03-06	170747	57	745	0
2023-03-03	170690	58	745	0
2023-03-02	170632	90	745	0
2023-03-01	170542	117	745	0
2023-02-28	170425	100	745	0
2023-02-27	170325	175	745	0
2023-02-24	170150	141	745	0
2023-02-23	170009	110	745	0
2023-02-22	169899	148	745	0
2023-02-21	169751	246	745	0
2023-02-16	169505	81	745	0
2023-02-15	169424	134	745	1
2023-02-14	169290	138	744	0
2023-02-13	169152	141	744	1
2023-02-10	169011	85	743	0
2023-02-09	168926	117	743	1
2023-02-08	168809	81	742	1
2023-02-07	168728	131	741	0
2023-02-06	168597	118	741	1
2023-02-03	168479	82	740	0
2023-02-02	168397	76	740	0
2023-02-01	168321	115	740	0
2023-01-31	168206	111	740	0
2023-01-30	168095	125	740	0
2023-01-28	167970	1	740	0
2023-01-27	167969	53	740	0
2023-01-26	167916	91	740	0
2023-01-25	167825	77	740	0
2023-01-24	167748	106	740	1
2023-01-23	167642	118	739	0
2023-01-20	167524	41	739	0
2023-01-19	167483	75	739	2
2023-01-18	167408	75	737	0
2023-01-17	167333	98	737	0
2023-01-16	167235	123	737	0
2023-01-14	167112	1	737	0
2023-01-13	167111	63	737	1
2023-01-12	167048	68	736	1
2023-01-11	166980	91	735	0