
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 15:46:13 CEST


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


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


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


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


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

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Zwickau")
print(f'Population of country="Germany", subregion="LK Zwickau": {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 Zwickau": 309621 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: 0:03:49.028965

Germany: LK Zwickau (Sachsen)¶

Explore the data in your web browser¶

Acknowledgements:¶

	total cases	daily new cases	total deaths	daily new deaths
date
2023-03-06	145488	4	1637	0
2023-03-05	145484	8	1637	0
2023-03-04	145476	5	1637	0
2023-03-03	145471	11	1637	0
2023-03-02	145460	30	1637	0
2023-03-01	145430	15	1637	0
2023-02-28	145415	44	1637	0
2023-02-27	145371	17	1637	0
2023-02-26	145354	10	1637	0
2023-02-25	145344	15	1637	0
2023-02-24	145329	26	1637	0
2023-02-23	145303	31	1637	0
2023-02-22	145272	21	1637	0
2023-02-21	145251	44	1637	0
2023-02-20	145207	21	1637	0
2023-02-19	145186	4	1637	0
2023-02-18	145182	6	1637	0
2023-02-17	145176	19	1637	0
2023-02-16	145157	17	1637	0
2023-02-15	145140	13	1637	0
2023-02-14	145127	21	1637	0
2023-02-13	145106	13	1637	0
2023-02-12	145093	6	1637	0
2023-02-11	145087	10	1637	0
2023-02-10	145077	14	1637	0
2023-02-09	145063	16	1637	0
2023-02-08	145047	13	1637	0
2023-02-07	145034	24	1637	0
2023-02-06	145010	17	1637	0
2023-02-05	144993	2	1637	0
2023-02-04	144991	8	1637	0
2023-02-03	144983	5	1637	0
2023-02-02	144978	15	1637	0
2023-02-01	144963	13	1637	0
2023-01-31	144950	28	1637	0
2023-01-30	144922	8	1637	0
2023-01-29	144914	3	1637	0
2023-01-28	144911	7	1637	0
2023-01-27	144904	15	1637	0