
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 09:55:06 CEST


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


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


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


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


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

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Karlsruhe")
print(f'Population of country="Germany", subregion="LK Karlsruhe": {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 Karlsruhe": 448487 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: 0:03:01.888099

Germany: LK Karlsruhe (Baden-Württemberg)¶

Explore the data in your web browser¶

Acknowledgements:¶

	total cases	daily new cases	total deaths	daily new deaths
date
2023-03-06	210553	56	776	0
2023-03-03	210497	40	776	0
2023-03-02	210457	50	776	0
2023-03-01	210407	146	776	0
2023-02-28	210261	176	776	0
2023-02-27	210085	170	776	0
2023-02-24	209915	81	776	0
2023-02-23	209834	102	776	1
2023-02-22	209732	96	775	0
2023-02-21	209636	128	775	0
2023-02-20	209508	122	775	0
2023-02-17	209386	76	775	0
2023-02-16	209310	91	775	0
2023-02-15	209219	71	775	0
2023-02-14	209148	141	775	1
2023-02-13	209007	114	774	0
2023-02-10	208893	55	774	0
2023-02-09	208838	76	774	0
2023-02-08	208762	83	774	1
2023-02-07	208679	125	773	0
2023-02-06	208554	104	773	0
2023-02-03	208450	58	773	0
2023-02-02	208392	62	773	0
2023-02-01	208330	89	773	0
2023-01-31	208241	105	773	0
2023-01-30	208136	112	773	1
2023-01-27	208024	37	772	0
2023-01-26	207987	39	772	0
2023-01-25	207948	53	772	0
2023-01-24	207895	73	772	0
2023-01-23	207822	57	772	1
2023-01-20	207765	34	771	0
2023-01-19	207731	43	771	0
2023-01-18	207688	40	771	0
2023-01-17	207648	48	771	1
2023-01-16	207600	91	770	0
2023-01-13	207509	44	770	0
2023-01-12	207465	28	770	0
2023-01-11	207437	64	770	0