
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 13:54:01 CEST


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


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


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


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


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

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Lippe")
print(f'Population of country="Germany", subregion="LK Lippe": {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 Lippe": 346151 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: 0:03:22.499188

Germany: LK Lippe (Nordrhein-Westfalen)¶

Explore the data in your web browser¶

Acknowledgements:¶

	total cases	daily new cases	total deaths	daily new deaths
date
2023-03-06	152866	7	772	0
2023-03-04	152859	10	772	0
2023-03-03	152849	46	772	0
2023-03-02	152803	25	772	0
2023-03-01	152778	50	772	0
2023-02-28	152728	75	772	0
2023-02-27	152653	22	772	0
2023-02-25	152631	35	772	0
2023-02-24	152596	79	772	0
2023-02-23	152517	68	772	0
2023-02-22	152449	71	772	0
2023-02-21	152378	109	772	0
2023-02-20	152269	51	772	0
2023-02-19	152218	2	772	0
2023-02-18	152216	16	772	0
2023-02-17	152200	65	772	0
2023-02-16	152135	70	772	0
2023-02-15	152065	78	772	0
2023-02-14	151987	93	772	0
2023-02-13	151894	67	772	0
2023-02-12	151827	1	772	0
2023-02-11	151826	20	772	0
2023-02-10	151806	49	772	0
2023-02-09	151757	66	772	0
2023-02-08	151691	60	772	0
2023-02-07	151631	66	772	0
2023-02-06	151565	33	772	0
2023-02-05	151532	2	772	0
2023-02-04	151530	18	772	0
2023-02-03	151512	80	772	0
2023-02-02	151432	33	772	0
2023-02-01	151399	61	772	0
2023-01-31	151338	81	772	0
2023-01-30	151257	35	772	0
2023-01-29	151222	3	772	0
2023-01-28	151219	24	772	0
2023-01-27	151195	76	772	2
2023-01-26	151119	60	770	0
2023-01-25	151059	54	770	0