
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 12:44:21 CEST


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


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


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


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


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

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Offenbach")
print(f'Population of country="Germany", subregion="LK Offenbach": {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 Offenbach": 357466 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: 0:02:48.399077

Germany: LK Offenbach (Hessen)¶

Explore the data in your web browser¶

Acknowledgements:¶

	total cases	daily new cases	total deaths	daily new deaths
date
2023-03-06	165575	43	918	0
2023-03-03	165532	32	918	1
2023-03-02	165500	26	917	0
2023-03-01	165474	63	917	0
2023-02-28	165411	104	917	0
2023-02-27	165307	142	917	1
2023-02-24	165165	82	916	1
2023-02-23	165083	112	915	1
2023-02-22	164971	103	914	1
2023-02-21	164868	99	913	0
2023-02-20	164769	111	913	2
2023-02-19	164658	3	911	1
2023-02-17	164655	90	910	3
2023-02-16	164565	72	907	1
2023-02-15	164493	95	906	0
2023-02-14	164398	90	906	0
2023-02-13	164308	93	906	1
2023-02-10	164215	62	905	0
2023-02-09	164153	55	905	0
2023-02-08	164098	97	905	1
2023-02-07	164001	62	904	0
2023-02-06	163939	80	904	0
2023-02-03	163859	52	904	0
2023-02-02	163807	47	904	0
2023-02-01	163760	76	904	0
2023-01-31	163684	85	904	0
2023-01-30	163599	76	904	0
2023-01-27	163523	53	904	0
2023-01-26	163470	58	904	1
2023-01-25	163412	60	903	0
2023-01-24	163352	52	903	0
2023-01-23	163300	75	903	0
2023-01-20	163225	40	903	0
2023-01-19	163185	50	903	0
2023-01-18	163135	46	903	0
2023-01-17	163089	42	903	0
2023-01-16	163047	105	903	1
2023-01-13	162942	39	902	0
2023-01-12	162903	52	902	1