Germany: SK Zweibrücken (Rheinland-Pfalz)

• Homepage of project: https://oscovida.github.io
• Plots are explained at http://oscovida.github.io/plots.html
• Execute this Jupyter Notebook using myBinder

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 15:27:21 CEST

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

overview(country="Germany", subregion="SK Zweibrücken", weeks=5);

overview(country="Germany", subregion="SK Zweibrücken");

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

# load the data
cases, deaths = germany_get_region(landkreis="SK Zweibrücken")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="SK Zweibrücken")
print(f'Population of country="Germany", subregion="SK Zweibrücken": {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="SK Zweibrücken": 34091 people

	total cases	daily new cases	total deaths	daily new deaths
date
2023-03-06	15249	5	42	0
2023-03-03	15244	2	42	0
2023-03-02	15242	2	42	0
2023-03-01	15240	19	42	0
2023-02-28	15221	28	42	0
2023-02-27	15193	17	42	0
2023-02-24	15176	11	42	0
2023-02-23	15165	13	42	0
2023-02-22	15152	8	42	0
2023-02-21	15144	17	42	1
2023-02-20	15127	9	41	0
2023-02-17	15118	9	41	0
2023-02-16	15109	5	41	1
2023-02-15	15104	9	40	0
2023-02-14	15095	17	40	0
2023-02-13	15078	32	40	1
2023-02-10	15046	9	39	0
2023-02-09	15037	14	39	0
2023-02-08	15023	13	39	0
2023-02-07	15010	25	39	0
2023-02-06	14985	23	39	0
2023-02-03	14962	5	39	0
2023-02-02	14957	10	39	0
2023-02-01	14947	6	39	0
2023-01-31	14941	6	39	0
2023-01-30	14935	11	39	0
2023-01-27	14924	5	39	0
2023-01-26	14919	6	39	0
2023-01-25	14913	7	39	0
2023-01-24	14906	6	39	0
2023-01-19	14900	3	39	0
2023-01-18	14897	2	39	0
2023-01-17	14895	8	39	0
2023-01-16	14887	8	39	0
2023-01-13	14879	3	39	0
2023-01-12	14876	13	39	0
2023-01-11	14863	15	39	0
2023-01-10	14848	14	39	0
2023-01-09	14834	10	39	0
2023-01-06	14824	10	39	0
2023-01-05	14814	13	39	0
2023-01-04	14801	15	39	0
2023-01-03	14786	32	39	0
2023-01-02	14754	46	39	0
2022-12-30	14708	15	39	0
2022-12-29	14693	10	39	0
2022-12-28	14683	11	39	0
2022-12-27	14672	10	39	0
2022-12-23	14662	17	39	0
2022-12-22	14645	24	39	0
2022-12-21	14621	15	39	0
2022-12-20	14606	17	39	0
2022-12-19	14589	15	39	0
2022-12-16	14574	8	39	0
2022-12-15	14566	12	39	0
2022-12-14	14554	20	39	0
2022-12-13	14534	19	39	0
2022-12-12	14515	11	39	0
2022-12-09	14504	18	39	0
2022-12-08	14486	5	39	0
2022-12-07	14481	11	39	0
2022-12-06	14470	16	39	0
2022-12-05	14454	14	39	0
2022-12-02	14440	4	39	0
2022-12-01	14436	6	39	0
2022-11-30	14430	14	39	0
2022-11-29	14416	17	39	0
2022-11-28	14399	10	39	0
2022-11-25	14389	12	39	0
2022-11-24	14377	7	39	0
2022-11-23	14370	10	39	0
2022-11-22	14360	14	39	0
2022-11-21	14346	20	39	0
2022-11-18	14326	21	39	0
2022-11-17	14305	13	39	1
2022-11-16	14292	8	38	0
2022-11-15	14284	19	38	0
2022-11-14	14265	23	38	0
2022-11-11	14242	16	38	0
2022-11-10	14226	16	38	0
2022-11-09	14210	12	38	0
2022-11-08	14198	32	38	0
2022-11-07	14166	15	38	0
2022-11-04	14151	27	38	0
2022-11-03	14124	19	38	0
2022-11-02	14105	38	38	0
2022-10-31	14067	25	38	1
2022-10-28	14042	16	37	0
2022-10-27	14026	24	37	0
2022-10-26	14002	39	37	0
2022-10-25	13963	99	37	0
2022-10-24	13864	41	37	0
2022-10-21	13823	41	37	0
2022-10-20	13782	46	37	0
2022-10-19	13736	85	37	1
2022-10-18	13651	105	36	0
2022-10-17	13546	60	36	1
2022-10-14	13486	58	35	0
2022-10-13	13428	111	35	0
2022-10-12	13317	115	35	0
2022-10-11	13202	80	35	0
2022-10-10	13122	141	35	0
2022-10-07	12981	61	35	0
2022-10-06	12920	157	35	0
2022-10-05	12763	94	35	0
2022-10-04	12669	84	35	1
2022-09-30	12585	33	34	0
2022-09-29	12552	85	34	1
2022-09-28	12467	70	33	1
2022-09-27	12397	69	32	0
2022-09-26	12328	58	32	1
2022-09-23	12270	15	31	0
2022-09-22	12255	40	31	1
2022-09-21	12215	38	30	0
2022-09-20	12177	48	30	1
2022-09-19	12129	41	29	0
2022-09-16	12088	21	29	0
2022-09-15	12067	28	29	0
2022-09-14	12039	28	29	0
2022-09-13	12011	48	29	0
2022-09-12	11963	13	29	0
2022-09-09	11950	8	29	0
2022-09-08	11942	18	29	0
2022-09-07	11924	30	29	0
2022-09-06	11894	18	29	0
2022-09-05	11876	24	29	0
2022-09-02	11852	6	29	0
2022-09-01	11846	25	29	0
2022-08-31	11821	10	29	0
2022-08-30	11811	24	29	0
2022-08-29	11787	18	29	0
2022-08-26	11769	9	29	0
2022-08-25	11760	19	29	0
2022-08-24	11741	19	29	0
2022-08-23	11722	27	29	0
2022-08-22	11695	37	29	0
2022-08-19	11658	7	29	0
2022-08-18	11651	31	29	0
2022-08-17	11620	42	29	0
2022-08-16	11578	41	29	0
2022-08-15	11537	40	29	0
2022-08-12	11497	48	29	0
2022-08-11	11449	20	29	0
2022-08-10	11429	48	29	0
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2022-08-08	11342	65	29	0
2022-08-05	11277	32	29	0
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2022-08-03	11192	65	29	0
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2022-08-01	11078	69	29	0
2022-07-29	11009	31	29	0
2022-07-28	10978	65	29	0
2022-07-27	10913	57	29	0
2022-07-26	10856	38	29	0
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2022-07-15	10441	37	29	0
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2022-07-13	10344	96	29	0
2022-07-12	10248	52	29	0
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2022-07-01	9753	28	27	0
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2021-05-19	760	3	9	0
2021-05-18	757	4	9	0
2021-05-16	753	1	9	0
2021-05-15	752	5	9	0
2021-05-14	747	11	9	0
2021-05-12	736	7	9	0
2021-05-11	729	8	9	0
2021-05-10	721	1	9	0
2021-05-09	720	2	9	1
2021-05-08	718	6	8	0
2021-05-07	712	5	8	0
2021-05-06	707	4	8	0
2021-05-05	703	3	8	0
2021-05-04	700	5	8	0
2021-05-03	695	2	8	0
2021-05-02	693	1	8	0
2021-05-01	692	11	8	0
2021-04-30	681	3	8	0
2021-04-29	678	10	8	0
2021-04-28	668	12	8	0
2021-04-27	656	6	8	0
2021-04-26	650	5	8	0
2021-04-25	645	2	8	0
2021-04-24	643	14	8	1
2021-04-23	629	13	7	1
2021-04-22	616	8	6	0
2021-04-21	608	8	6	0
2021-04-20	600	3	6	0
2021-04-18	597	2	6	0
2021-04-17	595	6	6	0
2021-04-16	589	4	6	0
2021-04-15	585	10	6	0
2021-04-14	575	9	6	0
2021-04-13	566	6	6	0
2021-04-11	560	1	6	0
2021-04-09	559	7	6	0
2021-04-08	552	8	6	1
2021-04-07	544	4	5	0
2021-04-06	540	1	5	0
2021-04-03	539	1	5	0
2021-04-02	538	4	5	0
2021-04-01	534	1	5	0
2021-03-31	533	5	5	0
2021-03-30	528	2	5	0
2021-03-29	526	4	5	0
2021-03-28	522	1	5	0
2021-03-27	521	3	5	0
2021-03-26	518	2	5	0
2021-03-25	516	4	5	0
2021-03-23	512	4	5	0
2021-03-21	508	3	5	0
2021-03-20	505	1	5	0
2021-03-19	504	2	5	0
2021-03-18	502	1	5	0
2021-03-17	501	3	5	0
2021-03-16	498	1	5	0
2021-03-15	497	3	5	0
2021-03-13	494	2	5	0
2021-03-12	492	1	5	0
2021-03-11	491	5	5	0
2021-03-10	486	3	5	0
2021-03-09	483	3	5	0
2021-03-06	480	2	5	0
2021-03-05	478	1	5	0
2021-03-04	477	1	5	0
2021-03-03	476	3	5	0
2021-03-02	473	2	5	0
2021-03-01	471	1	5	0
2021-02-27	470	7	5	1
2021-02-25	463	4	4	0
2021-02-24	459	8	4	0
2021-02-23	451	6	4	0
2021-02-22	445	1	4	0
2021-02-20	444	2	4	0
2021-02-19	442	1	4	0
2021-02-18	441	1	4	0
2021-02-15	440	2	4	0
2021-02-11	438	1	4	0
2021-02-09	437	2	4	0
2021-02-07	435	1	4	0
2021-02-04	434	2	4	0
2021-02-03	432	2	4	0
2021-01-31	430	1	4	0
2021-01-30	429	1	4	0
2021-01-28	428	1	4	0
2021-01-27	427	6	4	0
2021-01-23	421	2	4	0
2021-01-22	419	5	4	0
2021-01-21	414	3	4	0
2021-01-20	411	7	4	0
2021-01-19	404	2	4	1
2021-01-18	402	1	3	0
2021-01-17	401	2	3	0
2021-01-16	399	3	3	0
2021-01-14	396	4	3	0
2021-01-13	392	4	3	0
2021-01-11	388	1	3	0
2021-01-10	387	2	3	0
2021-01-08	385	3	3	0
2021-01-07	382	5	3	0
2021-01-06	377	4	3	0
2021-01-05	373	2	3	0
2021-01-04	371	2	3	0
2021-01-02	369	10	3	0
2020-12-30	359	4	3	1
2020-12-29	355	2	2	0
2020-12-28	353	12	2	0
2020-12-27	341	5	2	0
2020-12-23	336	3	2	0
2020-12-22	333	1	2	0
2020-12-21	332	3	2	0
2020-12-20	329	2	2	0
2020-12-19	327	1	2	0
2020-12-17	326	5	2	0
2020-12-16	321	7	2	0
2020-12-15	314	7	2	0
2020-12-14	307	3	2	0
2020-12-13	304	3	2	0
2020-12-12	301	5	2	0
2020-12-11	296	6	2	0
2020-12-10	290	6	2	0
2020-12-09	284	6	2	0
2020-12-07	278	2	2	0
2020-12-06	276	6	2	0
2020-12-05	270	8	2	0
2020-12-04	262	4	2	0
2020-12-03	258	3	2	0
2020-12-02	255	8	2	0
2020-12-01	247	5	2	0
2020-11-30	242	2	2	0
2020-11-29	240	4	2	0
2020-11-28	236	7	2	0
2020-11-27	229	1	2	0
2020-11-26	228	16	2	0
2020-11-24	212	4	2	0
2020-11-23	208	1	2	0
2020-11-22	207	5	2	0
2020-11-21	202	1	2	0
2020-11-20	201	4	2	0
2020-11-19	197	8	2	0
2020-11-18	189	3	2	0
2020-11-17	186	1	2	0
2020-11-15	185	9	2	0
2020-11-14	176	8	2	1
2020-11-13	168	3	1	0
2020-11-12	165	7	1	0
2020-11-11	158	4	1	0
2020-11-09	154	4	1	0
2020-11-08	150	2	1	0
2020-11-07	148	1	1	0
2020-11-06	147	4	1	0
2020-11-05	143	3	1	0
2020-11-04	140	4	1	0
2020-11-01	136	1	1	0
2020-10-30	135	4	1	0
2020-10-29	131	7	1	0
2020-10-28	124	8	1	0
2020-10-27	116	4	1	0
2020-10-26	112	2	1	0
2020-10-25	110	3	1	0
2020-10-24	107	2	1	0
2020-10-23	105	8	1	0
2020-10-22	97	1	1	0
2020-10-19	96	3	1	0
2020-10-17	93	13	1	0
2020-10-16	80	1	1	0
2020-10-15	79	4	1	0
2020-10-14	75	6	1	0
2020-10-08	69	2	1	0
2020-10-06	67	1	1	0
2020-10-02	66	1	1	0
2020-09-25	65	2	1	0
2020-09-24	63	2	1	0
2020-09-22	61	1	1	0
2020-09-21	60	1	1	0
2020-09-18	59	1	1	0
2020-09-16	58	1	1	0
2020-09-15	57	2	1	0
2020-09-09	55	2	1	0
2020-09-07	53	2	1	0
2020-09-04	51	1	1	0
2020-08-31	50	1	1	0
2020-08-24	49	1	1	0
2020-08-19	48	1	1	0
2020-08-13	47	1	1	0
2020-06-24	46	1	1	0
2020-06-23	45	2	1	0
2020-06-20	43	1	1	0
2020-06-18	42	1	1	0
2020-06-17	41	2	1	0
2020-06-15	39	1	1	0
2020-05-11	38	1	1	0
2020-04-17	37	1	1	0
2020-04-16	36	2	1	1
2020-04-14	34	1	0	0
2020-04-13	33	1	0	0
2020-04-11	32	5	0	0
2020-04-07	27	1	0	0
2020-04-04	26	4	0	0
2020-04-03	22	2	0	0
2020-04-02	20	3	0	0
2020-04-01	17	5	0	0
2020-03-31	12	1	0	0
2020-03-30	11	2	0	0
2020-03-27	9	4	0	0
2020-03-26	5	1	0	0
2020-03-24	4	1	0	0
2020-03-21	3	1	0	0

Explore the data in your web browser

• If you want to execute this notebook, click here to use myBinder
• and wait (~1 to 2 minutes)
• Then press SHIFT+RETURN to advance code cell to code cell
• See http://jupyter.org for more details on how to use Jupyter Notebook

Acknowledgements:

• Johns Hopkins University provides data for countries
• Robert Koch Institute provides data for within Germany
• Atlo Team for gathering and providing data from Hungary (https://atlo.team/koronamonitor/)
• Open source and scientific computing community for the data tools
• Github for hosting repository and html files
• Project Jupyter for the Notebook and binder service
• The H2020 project Photon and Neutron Open Science Cloud (PaNOSC)

---

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: 0:04:32.053958