
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 15:27:24 CEST


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


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


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


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


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

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Vogtlandkreis")
print(f'Population of country="Germany", subregion="LK Vogtlandkreis": {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 Vogtlandkreis": 221376 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: 0:04:32.275646

Germany: LK Vogtlandkreis (Sachsen)¶

Explore the data in your web browser¶

Acknowledgements:¶

	total cases	daily new cases	total deaths	daily new deaths
date
2023-03-06	109948	2	1388	0
2023-03-05	109946	5	1388	0
2023-03-04	109941	2	1388	0
2023-03-03	109939	12	1388	0
2023-03-02	109927	17	1388	0
2023-03-01	109910	12	1388	0
2023-02-28	109898	26	1388	0
2023-02-27	109872	42	1388	0
2023-02-26	109830	2	1388	0
2023-02-25	109828	11	1388	0
2023-02-24	109817	15	1388	0
2023-02-23	109802	34	1388	0
2023-02-22	109768	23	1388	0
2023-02-21	109745	35	1388	0
2023-02-20	109710	31	1388	0
2023-02-19	109679	12	1388	0
2023-02-18	109667	20	1388	0
2023-02-17	109647	11	1388	0
2023-02-16	109636	25	1388	0
2023-02-15	109611	22	1388	0
2023-02-14	109589	31	1388	1
2023-02-13	109558	22	1387	0
2023-02-12	109536	7	1387	0
2023-02-11	109529	9	1387	0
2023-02-10	109520	21	1387	0
2023-02-09	109499	25	1387	0
2023-02-08	109474	23	1387	1
2023-02-07	109451	24	1386	0
2023-02-06	109427	42	1386	0
2023-02-05	109385	6	1386	0
2023-02-04	109379	18	1386	0
2023-02-03	109361	41	1386	0
2023-02-02	109320	32	1386	0
2023-02-01	109288	39	1386	0
2023-01-31	109249	39	1386	1
2023-01-30	109210	44	1385	0
2023-01-29	109166	8	1385	0
2023-01-28	109158	22	1385	0
2023-01-27	109136	19	1385	0