
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 15:19:58 CEST


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


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


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


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


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

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Bautzen")
print(f'Population of country="Germany", subregion="LK Bautzen": {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 Bautzen": 296290 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: 0:03:06.729547

Germany: LK Bautzen (Sachsen)¶

Explore the data in your web browser¶

Acknowledgements:¶

	total cases	daily new cases	total deaths	daily new deaths
date
2023-03-06	154677	4	1530	0
2023-03-05	154673	3	1530	0
2023-03-04	154670	3	1530	0
2023-03-03	154667	13	1530	0
2023-03-02	154654	20	1530	0
2023-03-01	154634	16	1530	1
2023-02-28	154618	68	1529	1
2023-02-27	154550	55	1528	0
2023-02-26	154495	4	1528	0
2023-02-25	154491	13	1528	0
2023-02-24	154478	21	1528	0
2023-02-23	154457	33	1528	0
2023-02-22	154424	19	1528	0
2023-02-21	154405	34	1528	0
2023-02-20	154371	38	1528	0
2023-02-19	154333	10	1528	0
2023-02-18	154323	9	1528	0
2023-02-17	154314	22	1528	0
2023-02-16	154292	28	1528	0
2023-02-15	154264	14	1528	0
2023-02-14	154250	23	1528	0
2023-02-13	154227	31	1528	1
2023-02-12	154196	5	1527	0
2023-02-11	154191	7	1527	0
2023-02-10	154184	20	1527	0
2023-02-09	154164	14	1527	1
2023-02-08	154150	33	1526	0
2023-02-07	154117	25	1526	0
2023-02-06	154092	31	1526	0
2023-02-05	154061	7	1526	0
2023-02-04	154054	5	1526	0
2023-02-03	154049	18	1526	0
2023-02-02	154031	17	1526	0
2023-02-01	154014	25	1526	1
2023-01-31	153989	28	1525	0
2023-01-30	153961	32	1525	0
2023-01-29	153929	3	1525	0
2023-01-28	153926	5	1525	0
2023-01-27	153921	24	1525	0