Germany: LK Hildburghausen (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: 07/03/2023 16:09:05 CEST

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

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

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

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

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

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Hildburghausen")
print(f'Population of country="Germany", subregion="LK Hildburghausen": {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 Hildburghausen": 62089 people

	total cases	daily new cases	total deaths	daily new deaths
date
2023-03-06	28263	2	443	0
2023-03-03	28261	1	443	0
2023-03-02	28260	1	443	0
2023-03-01	28259	7	443	0
2023-02-28	28252	14	443	0
2023-02-27	28238	11	443	0
2023-02-24	28227	10	443	0
2023-02-23	28217	2	443	0
2023-02-22	28215	11	443	0
2023-02-21	28204	7	443	0
2023-02-20	28197	1	443	0
2023-02-19	28196	2	443	0
2023-02-18	28194	2	443	0
2023-02-17	28192	7	443	0
2023-02-16	28185	5	443	0
2023-02-15	28180	5	443	0
2023-02-14	28175	5	443	0
2023-02-13	28170	1	443	0
2023-02-10	28169	2	443	0
2023-02-09	28167	6	443	0
2023-02-08	28161	2	443	0
2023-02-07	28159	1	443	0
2023-02-06	28158	7	443	0
2023-02-03	28151	1	443	0
2023-02-02	28150	4	443	0
2023-01-30	28146	4	443	0
2023-01-26	28142	2	443	0
2023-01-25	28140	2	443	0
2023-01-23	28138	3	443	0
2023-01-20	28135	3	443	0
2023-01-18	28132	6	443	0
2023-01-17	28126	3	443	0
2023-01-16	28123	2	443	0
2023-01-13	28121	8	443	0
2023-01-12	28113	1	443	0
2023-01-11	28112	3	443	0
2023-01-10	28109	1	443	0
2023-01-09	28108	4	443	0
2023-01-06	28104	1	443	0
2023-01-05	28103	7	443	0
2023-01-04	28096	10	443	0
2023-01-03	28086	5	443	0
2023-01-02	28081	6	443	0
2022-12-30	28075	1	443	0
2022-12-29	28074	19	443	0
2022-12-28	28055	2	443	0
2022-12-27	28053	16	443	0
2022-12-23	28037	8	443	0
2022-12-22	28029	17	443	0
2022-12-21	28012	15	443	0
2022-12-20	27997	15	443	0
2022-12-19	27982	10	443	0
2022-12-16	27972	8	443	0
2022-12-15	27964	8	443	0
2022-12-14	27956	11	443	0
2022-12-13	27945	8	443	0
2022-12-12	27937	18	443	0
2022-12-09	27919	7	443	0
2022-12-08	27912	2	443	0
2022-12-07	27910	6	443	0
2022-12-06	27904	5	443	0
2022-12-05	27899	7	443	0
2022-12-02	27892	4	443	0
2022-12-01	27888	12	443	0
2022-11-30	27876	14	443	0
2022-11-29	27862	13	443	0
2022-11-28	27849	8	443	1
2022-11-25	27841	7	442	0
2022-11-24	27834	9	442	0
2022-11-23	27825	10	442	0
2022-11-22	27815	13	442	1
2022-11-21	27802	15	441	0
2022-11-18	27787	9	441	0
2022-11-17	27778	17	441	0
2022-11-16	27761	12	441	0
2022-11-15	27749	8	441	0
2022-11-14	27741	25	441	0
2022-11-11	27716	11	441	0
2022-11-10	27705	19	441	0
2022-11-09	27686	9	441	0
2022-11-08	27677	6	441	0
2022-11-07	27671	25	441	0
2022-11-04	27646	38	441	0
2022-11-03	27608	21	441	0
2022-11-02	27587	20	441	0
2022-11-01	27567	46	441	0
2022-10-28	27521	20	441	0
2022-10-27	27501	30	441	0
2022-10-26	27471	31	441	1
2022-10-25	27440	21	440	1
2022-10-24	27419	46	439	0
2022-10-21	27373	39	439	0
2022-10-20	27334	43	439	0
2022-10-19	27291	84	439	1
2022-10-18	27207	59	438	0
2022-10-17	27148	130	438	1
2022-10-14	27018	44	437	0
2022-10-13	26974	126	437	0
2022-10-12	26848	68	437	0
2022-10-11	26780	112	437	1
2022-10-10	26668	183	436	3
2022-10-07	26485	102	433	0
2022-10-06	26383	84	433	3
2022-10-05	26299	61	430	1
2022-10-04	26238	90	429	2
2022-10-01	26148	1	427	0
2022-09-30	26147	47	427	0
2022-09-29	26100	37	427	0
2022-09-28	26063	49	427	1
2022-09-27	26014	43	426	0
2022-09-26	25971	56	426	0
2022-09-23	25915	39	426	0
2022-09-22	25876	22	426	0
2022-09-21	25854	82	426	0
2022-09-16	25772	19	426	0
2022-09-15	25753	22	426	0
2022-09-14	25731	26	426	0
2022-09-13	25705	25	426	0
2022-09-12	25680	45	426	0
2022-09-09	25635	14	426	0
2022-09-08	25621	21	426	0
2022-09-07	25600	25	426	0
2022-09-06	25575	25	426	0
2022-09-05	25550	24	426	0
2022-09-02	25526	10	426	0
2022-09-01	25516	16	426	0
2022-08-31	25500	23	426	0
2022-08-30	25477	19	426	0
2022-08-29	25458	34	426	0
2022-08-26	25424	2	426	0
2022-08-25	25422	9	426	0
2022-08-24	25413	11	426	0
2022-08-23	25402	18	426	0
2022-08-22	25384	31	426	1
2022-08-19	25353	12	425	0
2022-08-18	25341	20	425	1
2022-08-17	25321	17	424	0
2022-08-16	25304	26	424	0
2022-08-15	25278	37	424	0
2022-08-12	25241	12	424	0
2022-08-11	25229	27	424	0
2022-08-10	25202	24	424	0
2022-08-09	25178	19	424	0
2022-08-08	25159	53	424	0
2022-08-05	25106	15	424	0
2022-08-04	25091	32	424	0
2022-08-03	25059	29	424	0
2022-08-02	25030	40	424	0
2022-08-01	24990	43	424	1
2022-07-31	24947	1	423	0
2022-07-29	24946	13	423	0
2022-07-28	24933	34	423	0
2022-07-27	24899	44	423	0
2022-07-26	24855	35	423	0
2022-07-25	24820	95	423	0
2022-07-22	24725	38	423	0
2022-07-21	24687	32	423	0
2022-07-20	24655	53	423	0
2022-07-19	24602	38	423	0
2022-07-18	24564	63	423	0
2022-07-15	24501	26	423	0
2022-07-14	24475	28	423	0
2022-07-13	24447	43	423	0
2022-07-12	24404	38	423	0
2022-07-11	24366	55	423	0
2022-07-08	24311	17	423	0
2022-07-07	24294	40	423	1
2022-07-06	24254	34	422	0
2022-07-05	24220	32	422	0
2022-07-04	24188	45	422	0
2022-07-02	24143	1	422	0
2022-07-01	24142	15	422	0
2022-06-30	24127	26	422	0
2022-06-29	24101	32	422	0
2022-06-28	24069	40	422	0
2022-06-27	24029	38	422	0
2022-06-24	23991	20	422	0
2022-06-23	23971	30	422	1
2022-06-22	23941	30	421	0
2022-06-21	23911	26	421	0
2022-06-20	23885	43	421	1
2022-06-17	23842	5	420	0
2022-06-16	23837	33	420	0
2022-06-15	23804	26	420	0
2022-06-14	23778	22	420	0
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2022-04-27	23033	82	416	1
2022-04-26	22951	38	415	0
2022-04-25	22913	88	415	2
2022-04-22	22825	48	413	0
2022-04-21	22777	149	413	0
2022-04-20	22628	45	413	0
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2022-04-07	21901	98	411	0
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2022-03-26	20534	186	407	0
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2022-03-23	19973	295	406	2
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2021-12-23	11918	44	371	0
2021-12-22	11874	122	371	1
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2021-12-17	11493	90	365	3
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2021-05-21	5196	18	248	0
2021-05-20	5178	17	248	0
2021-05-19	5161	34	248	1
2021-05-18	5127	36	247	0
2021-05-17	5091	15	247	0
2021-05-15	5076	54	247	0
2021-05-12	5022	28	247	0
2021-05-11	4994	28	247	0
2021-05-10	4966	15	247	0
2021-05-08	4951	19	247	1
2021-05-07	4932	34	246	1
2021-05-06	4898	25	245	0
2021-05-05	4873	40	245	6
2021-05-04	4833	46	239	0
2021-05-03	4787	52	239	1
2021-04-30	4735	21	238	1
2021-04-29	4714	38	237	2
2021-04-28	4676	35	235	1
2021-04-27	4641	52	234	0
2021-04-26	4589	18	234	0
2021-04-24	4571	18	234	0
2021-04-23	4553	19	234	0
2021-04-22	4534	20	234	0
2021-04-21	4514	17	234	1
2021-04-20	4497	20	233	0
2021-04-19	4477	7	233	1
2021-04-17	4470	13	232	0
2021-04-16	4457	21	232	0
2021-04-15	4436	8	232	0
2021-04-14	4428	15	232	1
2021-04-13	4413	29	231	0
2021-04-12	4384	7	231	0
2021-04-10	4377	7	231	0
2021-04-09	4370	17	231	0
2021-04-08	4353	20	231	0
2021-04-07	4333	22	231	0
2021-04-06	4311	12	231	0
2021-04-03	4299	20	231	0
2021-04-01	4279	22	231	2
2021-03-31	4257	21	229	0
2021-03-30	4236	27	229	1
2021-03-29	4209	8	228	0
2021-03-27	4201	12	228	0
2021-03-26	4189	28	228	0
2021-03-25	4161	12	228	0
2021-03-24	4149	8	228	0
2021-03-23	4141	23	228	0
2021-03-22	4118	6	228	0
2021-03-20	4112	19	228	0
2021-03-19	4093	16	228	0
2021-03-18	4077	13	228	0
2021-03-17	4064	16	228	0
2021-03-16	4048	16	228	1
2021-03-15	4032	4	227	0
2021-03-13	4028	7	227	0
2021-03-12	4021	17	227	0
2021-03-11	4004	12	227	0
2021-03-10	3992	19	227	2
2021-03-09	3973	21	225	2
2021-03-08	3952	12	223	1
2021-03-06	3940	23	222	0
2021-03-05	3917	8	222	0
2021-03-04	3909	22	222	0
2021-03-03	3887	40	222	0
2021-03-02	3847	23	222	1
2021-03-01	3824	29	221	6
2021-02-27	3795	13	215	2
2021-02-26	3782	31	213	4
2021-02-25	3751	18	209	1
2021-02-24	3733	30	208	1
2021-02-23	3703	38	207	0
2021-02-22	3665	9	207	2
2021-02-20	3656	17	205	5
2021-02-19	3639	11	200	0
2021-02-18	3628	18	200	1
2021-02-17	3610	20	199	1
2021-02-16	3590	18	198	1
2021-02-15	3572	31	197	4
2021-02-13	3541	12	193	1
2021-02-12	3529	11	192	1
2021-02-11	3518	20	191	3
2021-02-10	3498	17	188	0
2021-02-09	3481	16	188	0
2021-02-08	3465	29	188	3
2021-02-06	3436	22	185	2
2021-02-05	3414	26	183	3
2021-02-04	3388	30	180	2
2021-02-03	3358	21	178	2
2021-02-02	3337	22	176	1
2021-02-01	3315	17	175	0
2021-01-30	3298	28	175	2
2021-01-29	3270	28	173	2
2021-01-28	3242	52	171	7
2021-01-27	3190	11	164	1
2021-01-26	3179	37	163	2
2021-01-25	3142	6	161	2
2021-01-23	3136	52	159	3
2021-01-22	3084	14	156	1
2021-01-21	3070	30	155	4
2021-01-20	3040	31	151	4
2021-01-19	3009	55	147	1
2021-01-18	2954	46	146	0
2021-01-16	2908	30	146	1
2021-01-15	2878	42	145	5
2021-01-14	2836	47	140	1
2021-01-13	2789	58	139	6
2021-01-12	2731	49	133	2
2021-01-11	2682	51	131	4
2021-01-09	2631	44	127	3
2021-01-08	2587	44	124	2
2021-01-07	2543	63	122	5
2021-01-06	2480	33	117	3
2021-01-05	2447	94	114	5
2021-01-04	2353	29	109	6
2020-12-31	2324	55	103	3
2020-12-30	2269	66	100	5
2020-12-29	2203	48	95	1
2020-12-28	2155	83	94	6
2020-12-24	2072	40	88	2
2020-12-23	2032	43	86	4
2020-12-22	1989	59	82	1
2020-12-21	1930	39	81	4
2020-12-19	1891	40	77	0
2020-12-18	1851	40	77	0
2020-12-17	1811	38	77	3
2020-12-16	1773	43	74	1
2020-12-15	1730	48	73	1
2020-12-14	1682	27	72	0
2020-12-12	1655	29	72	3
2020-12-11	1626	69	69	9
2020-12-10	1557	61	60	3
2020-12-09	1496	38	57	0
2020-12-08	1458	60	57	5
2020-12-07	1398	10	52	1
2020-12-05	1388	57	51	4
2020-12-04	1331	32	47	0
2020-12-03	1299	73	47	1
2020-12-02	1226	42	46	1
2020-12-01	1184	38	45	0
2020-11-30	1146	36	45	2
2020-11-28	1110	60	43	3
2020-11-27	1050	20	40	3
2020-11-26	1030	62	37	4
2020-11-25	968	71	33	5
2020-11-24	897	74	28	2
2020-11-23	823	74	26	1
2020-11-21	749	70	25	4
2020-11-20	679	42	21	1
2020-11-19	637	46	20	1
2020-11-18	591	22	19	4
2020-11-17	569	52	15	1
2020-11-16	517	15	14	1
2020-11-14	502	20	13	0
2020-11-13	482	35	13	3
2020-11-12	447	21	10	1
2020-11-11	426	32	9	1
2020-11-10	394	43	8	0
2020-11-09	351	11	8	1
2020-11-08	340	2	7	0
2020-11-07	338	28	7	1
2020-11-06	310	19	6	1
2020-11-05	291	15	5	0
2020-11-04	276	24	5	1
2020-11-03	252	14	4	0
2020-11-02	238	33	4	1
2020-11-01	205	1	3	0
2020-10-31	204	15	3	1
2020-10-30	189	7	2	0
2020-10-29	182	18	2	0
2020-10-28	164	9	2	0
2020-10-27	155	17	2	0
2020-10-26	138	2	2	0
2020-10-25	136	1	2	1
2020-10-24	135	23	1	0
2020-10-23	112	4	1	0
2020-10-22	108	5	1	0
2020-10-21	103	2	1	0
2020-10-20	101	1	1	0
2020-10-19	100	2	1	0
2020-10-17	98	1	1	0
2020-10-14	97	1	1	0
2020-10-12	96	1	1	0
2020-10-11	95	1	1	0
2020-10-08	94	1	1	0
2020-09-30	93	1	1	0
2020-09-29	92	1	1	0
2020-09-16	91	1	1	0
2020-09-10	90	1	1	0
2020-09-09	89	1	1	0
2020-09-02	88	1	1	0
2020-08-18	87	1	1	0
2020-08-13	86	2	1	0
2020-08-10	84	1	1	0
2020-08-06	83	1	1	0
2020-08-05	82	1	1	0
2020-07-20	81	1	1	0
2020-07-15	80	1	1	0
2020-07-11	79	1	1	0
2020-07-10	78	1	1	0
2020-07-09	77	1	1	0
2020-07-08	76	1	1	0
2020-07-07	75	1	1	0
2020-07-04	74	2	1	0
2020-07-02	72	2	1	0
2020-06-26	70	1	1	0
2020-06-25	69	1	1	0
2020-06-23	68	1	1	0
2020-06-20	67	2	1	0
2020-06-18	65	2	1	0
2020-06-16	63	2	1	0
2020-06-14	61	2	1	0
2020-06-13	59	1	1	0
2020-06-12	58	2	1	0
2020-06-10	56	2	1	0
2020-06-05	54	1	1	0
2020-06-03	53	9	1	0
2020-06-01	44	1	1	0
2020-05-29	43	3	1	0
2020-05-24	40	4	1	0
2020-05-23	36	3	1	0
2020-05-20	33	2	1	0
2020-05-19	31	1	1	0
2020-05-12	30	1	1	0
2020-05-08	29	3	1	0
2020-05-07	26	1	1	0
2020-05-06	25	3	1	0
2020-05-04	22	1	1	0
2020-04-29	21	2	1	0
2020-04-24	19	1	1	0
2020-04-23	18	1	1	0
2020-04-17	17	2	1	0
2020-04-16	15	1	1	0
2020-04-12	14	1	1	0
2020-04-11	13	1	1	0
2020-04-09	12	1	1	0
2020-04-08	11	1	1	0
2020-04-03	10	1	1	0
2020-03-31	9	1	1	1
2020-03-30	8	2	0	0
2020-03-27	6	1	0	0
2020-03-26	5	2	0	0
2020-03-25	3	1	0	0
2020-03-24	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: 0:02:44.799102