Germany: LK Wetteraukreis (Hessen)

• 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 12:52:18 CEST

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

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

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

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

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

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Wetteraukreis")
print(f'Population of country="Germany", subregion="LK Wetteraukreis": {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 Wetteraukreis": 311661 people

	total cases	daily new cases	total deaths	daily new deaths
date
2023-03-06	135870	35	858	0
2023-03-03	135835	22	858	0
2023-03-02	135813	52	858	0
2023-03-01	135761	57	858	0
2023-02-28	135704	110	858	0
2023-02-27	135594	137	858	1
2023-02-25	135457	2	857	0
2023-02-24	135455	67	857	0
2023-02-23	135388	83	857	0
2023-02-22	135305	81	857	0
2023-02-21	135224	122	857	1
2023-02-20	135102	102	856	1
2023-02-17	135000	69	855	0
2023-02-16	134931	48	855	0
2023-02-15	134883	78	855	0
2023-02-14	134805	87	855	0
2023-02-13	134718	80	855	0
2023-02-10	134638	68	855	0
2023-02-09	134570	31	855	0
2023-02-08	134539	72	855	0
2023-02-07	134467	85	855	1
2023-02-06	134382	84	854	0
2023-02-03	134298	51	854	0
2023-02-02	134247	56	854	0
2023-02-01	134191	66	854	0
2023-01-31	134125	59	854	0
2023-01-30	134066	73	854	0
2023-01-27	133993	42	854	1
2023-01-26	133951	47	853	0
2023-01-25	133904	46	853	0
2023-01-24	133858	62	853	0
2023-01-23	133796	49	853	0
2023-01-20	133747	24	853	0
2023-01-19	133723	23	853	0
2023-01-18	133700	27	853	0
2023-01-17	133673	69	853	0
2023-01-16	133604	61	853	0
2023-01-13	133543	46	853	0
2023-01-12	133497	52	853	1
2023-01-11	133445	48	852	1
2023-01-10	133397	81	851	0
2023-01-09	133316	112	851	1
2023-01-06	133204	51	850	0
2023-01-05	133153	68	850	0
2023-01-04	133085	54	850	1
2023-01-03	133031	156	849	0
2023-01-02	132875	162	849	0
2022-12-30	132713	60	849	1
2022-12-29	132653	109	848	0
2022-12-28	132544	160	848	1
2022-12-27	132384	296	847	3
2022-12-23	132088	111	844	1
2022-12-22	131977	146	843	1
2022-12-21	131831	181	842	1
2022-12-20	131650	126	841	1
2022-12-19	131524	166	840	0
2022-12-16	131358	137	840	0
2022-12-15	131221	123	840	0
2022-12-14	131098	130	840	0
2022-12-13	130968	183	840	1
2022-12-12	130785	154	839	3
2022-12-09	130631	102	836	0
2022-12-08	130529	105	836	0
2022-12-07	130424	67	836	0
2022-12-06	130357	145	836	1
2022-12-05	130212	139	835	0
2022-12-02	130073	77	835	1
2022-12-01	129996	62	834	0
2022-11-30	129934	119	834	0
2022-11-29	129815	116	834	1
2022-11-28	129699	158	833	2
2022-11-25	129541	80	831	0
2022-11-24	129461	84	831	0
2022-11-23	129377	84	831	0
2022-11-22	129293	159	831	1
2022-11-21	129134	157	830	2
2022-11-18	128977	80	828	0
2022-11-17	128897	88	828	0
2022-11-16	128809	144	828	0
2022-11-15	128665	91	828	0
2022-11-14	128574	185	828	0
2022-11-13	128389	1	828	0
2022-11-11	128388	111	828	0
2022-11-10	128277	83	828	1
2022-11-09	128194	129	827	1
2022-11-08	128065	194	826	2
2022-11-07	127871	244	824	0
2022-11-06	127627	2	824	0
2022-11-05	127625	11	824	0
2022-11-04	127614	135	824	1
2022-11-03	127479	143	823	1
2022-11-02	127336	195	822	2
2022-11-01	127141	345	820	2
2022-10-31	126796	347	818	1
2022-10-29	126449	6	817	0
2022-10-28	126443	193	817	1
2022-10-27	126250	246	816	0
2022-10-26	126004	315	816	3
2022-10-25	125689	524	813	4
2022-10-24	125165	505	809	5
2022-10-23	124660	4	804	0
2022-10-22	124656	13	804	0
2022-10-21	124643	302	804	1
2022-10-20	124341	298	803	0
2022-10-19	124043	425	803	2
2022-10-18	123618	595	801	3
2022-10-17	123023	759	798	4
2022-10-14	122264	441	794	2
2022-10-13	121823	509	792	2
2022-10-12	121314	625	790	3
2022-10-11	120689	570	787	2
2022-10-10	120119	790	785	4
2022-10-07	119329	540	781	1
2022-10-06	118789	497	780	3
2022-10-05	118292	457	777	0
2022-10-04	117835	657	777	2
2022-10-03	117178	81	775	0
2022-10-02	117097	55	775	0
2022-09-30	117042	277	775	2
2022-09-29	116765	302	773	1
2022-09-28	116463	402	772	1
2022-09-27	116061	418	771	0
2022-09-26	115643	382	771	1
2022-09-23	115261	192	770	0
2022-09-22	115069	178	770	0
2022-09-21	114891	245	770	0
2022-09-20	114646	265	770	1
2022-09-19	114381	343	769	2
2022-09-16	114038	156	767	0
2022-09-15	113882	167	767	0
2022-09-14	113715	153	767	0
2022-09-13	113562	201	767	0
2022-09-12	113361	262	767	0
2022-09-09	113099	100	767	0
2022-09-08	112999	89	767	0
2022-09-07	112910	133	767	0
2022-09-06	112777	117	767	1
2022-09-05	112660	219	766	0
2022-09-02	112441	97	766	0
2022-09-01	112344	72	766	0
2022-08-31	112272	134	766	1
2022-08-30	112138	190	765	2
2022-08-29	111948	233	763	3
2022-08-26	111715	90	760	0
2022-08-25	111625	93	760	0
2022-08-24	111532	112	760	0
2022-08-23	111420	163	760	0
2022-08-22	111257	232	760	0
2022-08-19	111025	106	760	1
2022-08-18	110919	133	759	0
2022-08-17	110786	166	759	1
2022-08-16	110620	188	758	1
2022-08-15	110432	326	757	2
2022-08-12	110106	231	755	2
2022-08-11	109875	155	753	0
2022-08-10	109720	168	753	0
2022-08-09	109552	231	753	0
2022-08-08	109321	377	753	1
2022-08-05	108944	155	752	1
2022-08-04	108789	192	751	1
2022-08-03	108597	236	750	0
2022-08-02	108361	357	750	2
2022-08-01	108004	440	748	6
2022-07-29	107564	299	742	1
2022-07-28	107265	344	741	3
2022-07-27	106921	395	738	1
2022-07-26	106526	644	737	2
2022-07-25	105882	614	735	1
2022-07-22	105268	398	734	2
2022-07-21	104870	539	732	2
2022-07-20	104331	529	730	5
2022-07-19	103802	602	725	1
2022-07-18	103200	661	724	4
2022-07-15	102539	467	720	1
2022-07-14	102072	650	719	4
2022-07-13	101422	657	715	0
2022-07-12	100765	769	715	2
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2020-03-23	52	7	1	0
2020-03-22	45	1	1	0
2020-03-21	44	1	1	0
2020-03-20	43	5	1	1
2020-03-19	38	8	0	0
2020-03-18	30	3	0	0
2020-03-17	27	10	0	0
2020-03-16	17	4	0	0
2020-03-15	13	3	0	0
2020-03-14	10	6	0	0
2020-03-13	4	2	0	0
2020-03-12	2	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: 0:03:21.747226