Germany: SK Eisenach (Thüringen)

• 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: 30/09/2021 10:01:20 CEST

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

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

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

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

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

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

# compose into one table
table = compose_dataframe_summary(cases, deaths)

# show tables with up to 1000 rows
pd.set_option("max_rows", 1000)

# display the table
table

Population of country="Germany", subregion="SK Eisenach": 41970 people

	total cases	daily new cases	total deaths	daily new deaths
date
2021-06-24	1947	2	78	0
2021-06-23	1945	1	78	0
2021-06-22	1944	1	78	0
2021-06-21	1943	1	78	0
2021-06-19	1942	1	78	0
2021-06-15	1941	2	78	0
2021-06-12	1939	1	78	0
2021-06-11	1938	10	78	0
2021-06-10	1928	1	78	0
2021-06-09	1927	3	78	0
2021-06-08	1924	1	78	0
2021-06-07	1923	3	78	0
2021-06-06	1920	1	78	0
2021-06-01	1919	3	78	0
2021-05-31	1916	1	78	0
2021-05-29	1915	2	78	0
2021-05-28	1913	5	78	0
2021-05-27	1908	1	78	0
2021-05-26	1907	4	78	0
2021-05-25	1903	2	78	0
2021-05-21	1901	3	78	0
2021-05-20	1898	6	78	0
2021-05-19	1892	8	78	0
2021-05-18	1884	5	78	0
2021-05-17	1879	5	78	0
2021-05-16	1874	2	78	0
2021-05-15	1872	4	78	0
2021-05-14	1868	3	78	0
2021-05-13	1865	5	78	0
2021-05-12	1860	15	78	1
2021-05-11	1845	19	77	0
2021-05-10	1826	4	77	0
2021-05-09	1822	5	77	0
2021-05-08	1817	8	77	0
2021-05-07	1809	4	77	0
2021-05-06	1805	17	77	0
2021-05-05	1788	19	77	1
2021-05-04	1769	18	76	0
2021-05-03	1751	13	76	0
2021-05-01	1738	5	76	0
2021-04-30	1733	12	76	1
2021-04-29	1721	22	75	1
2021-04-28	1699	12	74	1
2021-04-27	1687	12	73	0
2021-04-26	1675	7	73	0
2021-04-25	1668	2	73	0
2021-04-24	1666	7	73	0
2021-04-23	1659	15	73	0
2021-04-22	1644	19	73	2
2021-04-21	1625	22	71	0
2021-04-20	1603	22	71	0
2021-04-19	1581	18	71	0
2021-04-18	1563	5	71	0
2021-04-17	1558	3	71	1
2021-04-16	1555	10	70	0
2021-04-15	1545	8	70	0
2021-04-14	1537	25	70	1
2021-04-13	1512	18	69	1
2021-04-12	1494	4	68	0
2021-04-11	1490	4	68	0
2021-04-10	1486	8	68	0
2021-04-09	1478	7	68	0
2021-04-08	1471	23	68	0
2021-04-07	1448	16	68	0
2021-04-06	1432	8	68	0
2021-04-05	1424	2	68	0
2021-04-04	1422	1	68	0
2021-04-03	1421	4	68	0
2021-04-02	1417	13	68	0
2021-04-01	1404	15	68	0
2021-03-31	1389	21	68	1
2021-03-30	1368	16	67	0
2021-03-29	1352	12	67	0
2021-03-28	1340	6	67	0
2021-03-27	1334	16	67	0
2021-03-26	1318	17	67	0
2021-03-25	1301	12	67	0
2021-03-24	1289	38	67	0
2021-03-23	1251	24	67	2
2021-03-22	1227	4	65	0
2021-03-21	1223	15	65	0
2021-03-20	1208	7	65	0
2021-03-19	1201	17	65	0
2021-03-18	1184	18	65	1
2021-03-17	1166	26	64	0
2021-03-16	1140	27	64	1
2021-03-15	1113	1	63	0
2021-03-14	1112	23	63	0
2021-03-13	1089	8	63	0
2021-03-12	1081	3	63	0
2021-03-11	1078	11	63	0
2021-03-10	1067	11	63	1
2021-03-09	1056	3	62	1
2021-03-08	1053	7	61	1
2021-03-07	1046	1	60	0
2021-03-06	1045	2	60	0
2021-03-05	1043	4	60	0
2021-03-04	1039	7	60	0
2021-03-03	1032	7	60	0
2021-03-02	1025	6	60	0
2021-03-01	1019	6	60	0
2021-02-28	1013	2	60	0
2021-02-27	1011	9	60	0
2021-02-26	1002	8	60	0
2021-02-25	994	4	60	0
2021-02-24	990	10	60	0
2021-02-23	980	10	60	0
2021-02-22	970	3	60	1
2021-02-21	967	3	59	0
2021-02-20	964	4	59	1
2021-02-19	960	9	58	1
2021-02-18	951	2	57	0
2021-02-17	949	4	57	0
2021-02-16	945	8	57	0
2021-02-15	937	2	57	0
2021-02-14	935	1	57	0
2021-02-13	934	4	57	0
2021-02-12	930	3	57	0
2021-02-11	927	5	57	3
2021-02-10	922	5	54	1
2021-02-09	917	1	53	0
2021-02-08	916	1	53	0
2021-02-07	915	1	53	0
2021-02-06	914	6	53	0
2021-02-05	908	8	53	0
2021-02-04	900	2	53	0
2021-02-03	898	6	53	1
2021-02-02	892	5	52	0
2021-02-01	887	1	52	0
2021-01-30	886	6	52	0
2021-01-29	880	3	52	0
2021-01-28	877	8	52	0
2021-01-27	869	7	52	0
2021-01-26	862	6	52	0
2021-01-25	856	1	52	0
2021-01-23	855	12	52	0
2021-01-22	843	3	52	0
2021-01-21	840	16	52	5
2021-01-20	824	14	47	1
2021-01-19	810	10	46	0
2021-01-18	800	4	46	0
2021-01-16	796	9	46	0
2021-01-15	787	10	46	0
2021-01-14	777	9	46	0
2021-01-13	768	18	46	0
2021-01-12	750	15	46	2
2021-01-11	735	4	44	0
2021-01-10	731	12	44	0
2021-01-09	719	2	44	0
2021-01-08	717	29	44	2
2021-01-07	688	27	42	2
2021-01-06	661	18	40	1
2021-01-05	643	17	39	1
2021-01-04	626	12	38	2
2021-01-03	614	4	36	1
2021-01-02	610	12	35	2
2021-01-01	598	24	33	1
2020-12-31	574	16	32	1
2020-12-30	558	40	31	3
2020-12-29	518	26	28	4
2020-12-28	492	14	24	0
2020-12-27	478	15	24	2
2020-12-26	463	17	22	3
2020-12-25	446	19	19	3
2020-12-24	427	48	16	1
2020-12-23	379	24	15	0
2020-12-22	355	16	15	1
2020-12-21	339	25	14	2
2020-12-18	314	23	12	2
2020-12-17	291	29	10	2
2020-12-16	262	18	8	1
2020-12-15	244	8	7	0
2020-12-14	236	17	7	0
2020-12-13	219	6	7	0
2020-12-12	213	7	7	0
2020-12-11	206	9	7	0
2020-12-10	197	10	7	0
2020-12-09	187	1	7	0
2020-12-08	186	14	7	2
2020-12-07	172	3	5	0
2020-12-04	169	4	5	0
2020-12-03	165	8	5	0
2020-12-02	157	1	5	0
2020-12-01	156	4	5	0
2020-11-30	152	3	5	0
2020-11-27	149	5	5	0
2020-11-26	144	9	5	0
2020-11-25	135	4	5	0
2020-11-24	131	5	5	0
2020-11-23	126	4	5	0
2020-11-22	122	3	5	0
2020-11-19	119	5	5	0
2020-11-18	114	5	5	0
2020-11-17	109	3	5	0
2020-11-16	106	4	5	0
2020-11-13	102	2	5	0
2020-11-11	100	1	5	0
2020-11-10	99	3	5	0
2020-11-09	96	4	5	0
2020-11-08	92	2	5	0
2020-11-06	90	5	5	0
2020-11-05	85	5	5	0
2020-11-04	80	5	5	0
2020-11-03	75	4	5	1
2020-11-02	71	1	4	0
2020-11-01	70	1	4	0
2020-10-30	69	4	4	0
2020-10-28	65	2	4	0
2020-10-27	63	7	4	0
2020-10-26	56	2	4	0
2020-10-24	54	1	4	0
2020-10-23	53	2	4	0
2020-10-20	51	2	4	0
2020-10-15	49	1	4	0
2020-10-14	48	1	4	0
2020-10-12	47	2	4	0
2020-10-10	45	1	4	0
2020-10-01	44	1	4	0
2020-09-23	43	1	4	0
2020-09-17	42	1	4	0
2020-09-12	41	2	4	0
2020-09-10	39	1	4	0
2020-08-28	38	1	4	0
2020-08-26	37	1	4	0
2020-08-03	36	1	4	0
2020-07-30	35	1	4	0
2020-07-28	34	1	4	1
2020-07-24	33	2	3	0
2020-07-13	31	1	3	0
2020-06-19	30	1	3	0
2020-06-07	29	1	3	0
2020-05-29	28	1	3	0
2020-05-16	27	1	3	0
2020-05-14	26	1	3	0
2020-05-07	25	1	3	1
2020-05-06	24	2	2	0
2020-05-02	22	1	2	0
2020-04-29	21	1	2	0
2020-04-28	20	4	2	1
2020-04-23	16	1	1	0
2020-04-22	15	1	1	0
2020-04-19	14	1	1	0
2020-04-14	13	1	1	0
2020-04-09	12	2	1	0
2020-04-08	10	1	1	0
2020-04-06	9	1	1	0
2020-04-03	8	1	1	0
2020-04-02	7	1	1	0
2020-03-31	6	2	1	0
2020-03-26	4	1	1	0
2020-03-25	3	1	1	0
2020-03-24	2	1	1	1

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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 30/09/2021 09:35:47 and deaths at 30/09/2021 09:35:46.

# to force a fresh download of data, run "clear_cache()"

print(f"Notebook execution took: {datetime.datetime.now()-start}")

Notebook execution took: 0:00:19.843412