Germany: LK Holzminden (Niedersachsen)

• 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 13:22:51 CEST

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

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

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

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

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

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Holzminden")
print(f'Population of country="Germany", subregion="LK Holzminden": {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 Holzminden": 69862 people

	total cases	daily new cases	total deaths	daily new deaths
date
2023-03-06	31646	7	201	0
2023-03-03	31639	6	201	0
2023-03-02	31633	6	201	0
2023-03-01	31627	19	201	0
2023-02-28	31608	31	201	0
2023-02-27	31577	22	201	0
2023-02-24	31555	15	201	0
2023-02-23	31540	24	201	0
2023-02-22	31516	22	201	0
2023-02-21	31494	22	201	0
2023-02-20	31472	19	201	0
2023-02-17	31453	13	201	0
2023-02-16	31440	13	201	0
2023-02-15	31427	23	201	0
2023-02-14	31404	26	201	1
2023-02-13	31378	11	200	0
2023-02-10	31367	10	200	0
2023-02-09	31357	10	200	0
2023-02-08	31347	20	200	1
2023-02-07	31327	18	199	0
2023-02-06	31309	8	199	1
2023-02-03	31301	10	198	0
2023-02-02	31291	13	198	0
2023-02-01	31278	19	198	0
2023-01-31	31259	24	198	0
2023-01-30	31235	16	198	0
2023-01-27	31219	5	198	0
2023-01-26	31214	8	198	0
2023-01-25	31206	10	198	0
2023-01-24	31196	23	198	0
2023-01-23	31173	18	198	0
2023-01-20	31155	13	198	0
2023-01-19	31142	15	198	0
2023-01-18	31127	30	198	0
2023-01-17	31097	34	198	1
2023-01-16	31063	24	197	0
2023-01-13	31039	11	197	0
2023-01-12	31028	23	197	1
2023-01-11	31005	43	196	0
2023-01-10	30962	48	196	0
2023-01-09	30914	26	196	0
2023-01-06	30888	20	196	0
2023-01-05	30868	28	196	0
2023-01-04	30840	42	196	0
2023-01-03	30798	56	196	0
2023-01-02	30742	46	196	2
2022-12-30	30696	31	194	0
2022-12-29	30665	27	194	0
2022-12-28	30638	63	194	0
2022-12-27	30575	66	194	1
2022-12-23	30509	43	193	1
2022-12-22	30466	53	192	0
2022-12-21	30413	72	192	0
2022-12-20	30341	60	192	2
2022-12-19	30281	64	190	1
2022-12-16	30217	40	189	0
2022-12-15	30177	46	189	0
2022-12-14	30131	60	189	0
2022-12-13	30071	95	189	0
2022-12-12	29976	64	189	1
2022-12-09	29912	28	188	0
2022-12-08	29884	42	188	0
2022-12-07	29842	39	188	1
2022-12-06	29803	85	187	0
2022-12-05	29718	41	187	0
2022-12-02	29677	43	187	1
2022-12-01	29634	41	186	0
2022-11-30	29593	64	186	1
2022-11-29	29529	85	185	0
2022-11-28	29444	49	185	1
2022-11-25	29395	36	184	1
2022-11-24	29359	34	183	0
2022-11-23	29325	57	183	0
2022-11-22	29268	86	183	0
2022-11-21	29182	46	183	1
2022-11-18	29136	45	182	0
2022-11-17	29091	50	182	1
2022-11-16	29041	53	181	1
2022-11-15	28988	77	180	0
2022-11-14	28911	36	180	1
2022-11-11	28875	34	179	0
2022-11-10	28841	30	179	0
2022-11-09	28811	54	179	3
2022-11-08	28757	83	176	0
2022-11-07	28674	57	176	0
2022-11-04	28617	49	176	0
2022-11-03	28568	82	176	1
2022-11-02	28486	165	175	0
2022-11-01	28321	89	175	0
2022-10-28	28232	90	175	0
2022-10-27	28142	76	175	1
2022-10-26	28066	98	174	1
2022-10-25	27968	166	173	0
2022-10-24	27802	113	173	2
2022-10-21	27689	116	171	1
2022-10-20	27573	137	170	0
2022-10-19	27436	133	170	4
2022-10-18	27303	251	166	0
2022-10-17	27052	93	166	0
2022-10-14	26959	73	166	1
2022-10-13	26886	105	165	0
2022-10-12	26781	131	165	1
2022-10-11	26650	211	164	0
2022-10-10	26439	147	164	3
2022-10-07	26292	104	161	1
2022-10-06	26188	182	160	1
2022-10-05	26006	205	159	1
2022-10-04	25801	87	158	1
2022-09-30	25714	57	157	0
2022-09-29	25657	73	157	0
2022-09-28	25584	83	157	0
2022-09-27	25501	117	157	0
2022-09-26	25384	45	157	1
2022-09-23	25339	29	156	0
2022-09-22	25310	52	156	0
2022-09-21	25258	47	156	0
2022-09-20	25211	80	156	0
2022-09-19	25131	34	156	0
2022-09-16	25097	26	156	0
2022-09-15	25071	44	156	1
2022-09-14	25027	51	155	0
2022-09-13	24976	63	155	0
2022-09-12	24913	57	155	0
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2022-08-29	24487	44	155	1
2022-08-26	24443	31	154	0
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2022-08-01	23493	55	150	2
2022-07-29	23438	46	148	0
2022-07-28	23392	85	148	0
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2022-07-25	23125	79	148	2
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2022-07-20	22890	107	146	1
2022-07-19	22783	190	145	0
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2021-06-15	1647	8	67	0
2021-06-10	1639	1	67	0
2021-06-08	1638	4	67	0
2021-06-07	1634	1	67	0
2021-06-04	1633	4	67	0
2021-06-03	1629	2	67	0
2021-06-02	1627	6	67	0
2021-05-31	1621	6	67	0
2021-05-28	1615	4	67	0
2021-05-27	1611	10	67	0
2021-05-26	1601	15	67	0
2021-05-24	1586	13	67	0
2021-05-21	1573	7	67	0
2021-05-20	1566	3	67	0
2021-05-19	1563	5	67	0
2021-05-18	1558	4	67	0
2021-05-15	1554	2	67	0
2021-05-14	1552	14	67	0
2021-05-12	1538	3	67	0
2021-05-11	1535	10	67	0
2021-05-10	1525	11	67	0
2021-05-07	1514	12	67	1
2021-05-06	1502	17	66	0
2021-05-05	1485	9	66	0
2021-05-04	1476	7	66	0
2021-05-03	1469	8	66	0
2021-04-30	1461	14	66	0
2021-04-29	1447	16	66	0
2021-04-28	1431	13	66	0
2021-04-27	1418	14	66	0
2021-04-26	1404	10	66	0
2021-04-23	1394	6	66	1
2021-04-22	1388	12	65	1
2021-04-21	1376	14	64	0
2021-04-20	1362	17	64	1
2021-04-19	1345	3	63	0
2021-04-17	1342	4	63	1
2021-04-16	1338	14	62	0
2021-04-15	1324	6	62	0
2021-04-14	1318	20	62	0
2021-04-13	1298	17	62	0
2021-04-12	1281	6	62	1
2021-04-09	1275	11	61	0
2021-04-08	1264	7	61	0
2021-04-07	1257	2	61	0
2021-04-06	1255	10	61	1
2021-04-04	1245	2	60	0
2021-04-02	1243	19	60	0
2021-04-01	1224	1	60	0
2021-03-31	1223	13	60	0
2021-03-30	1210	15	60	0
2021-03-27	1195	7	60	0
2021-03-26	1188	9	60	0
2021-03-25	1179	15	60	0
2021-03-24	1164	9	60	0
2021-03-23	1155	13	60	0
2021-03-22	1142	7	60	0
2021-03-19	1135	2	60	0
2021-03-18	1133	3	60	0
2021-03-17	1130	1	60	0
2021-03-16	1129	30	60	1
2021-03-15	1099	6	59	0
2021-03-12	1093	5	59	0
2021-03-11	1088	26	59	0
2021-03-10	1062	7	59	0
2021-03-09	1055	11	59	0
2021-03-08	1044	3	59	0
2021-03-05	1041	12	59	0
2021-03-04	1029	5	59	0
2021-03-03	1024	6	59	0
2021-03-02	1018	7	59	0
2021-03-01	1011	4	59	0
2021-02-26	1007	15	59	0
2021-02-25	992	4	59	0
2021-02-24	988	10	59	1
2021-02-23	978	9	58	0
2021-02-22	969	1	58	0
2021-02-20	968	8	58	3
2021-02-19	960	8	55	0
2021-02-18	952	2	55	0
2021-02-17	950	3	55	0
2021-02-16	947	5	55	1
2021-02-15	942	4	54	0
2021-02-14	938	2	54	0
2021-02-13	936	4	54	0
2021-02-12	932	11	54	0
2021-02-11	921	14	54	2
2021-02-10	907	4	52	0
2021-02-09	903	4	52	0
2021-02-08	899	7	52	0
2021-02-05	892	3	52	0
2021-02-04	889	6	52	0
2021-02-03	883	11	52	0
2021-02-02	872	3	52	0
2021-02-01	869	11	52	0
2021-01-29	858	3	52	0
2021-01-28	855	12	52	0
2021-01-27	843	8	52	1
2021-01-26	835	11	51	0
2021-01-25	824	8	51	1
2021-01-22	816	4	50	0
2021-01-21	812	15	50	2
2021-01-20	797	21	48	1
2021-01-19	776	18	47	2
2021-01-18	758	14	45	0
2021-01-15	744	45	45	10
2021-01-14	699	15	35	0
2021-01-13	684	13	35	0
2021-01-12	671	20	35	4
2021-01-11	651	1	31	0
2021-01-09	650	10	31	1
2021-01-08	640	7	30	1
2021-01-07	633	7	29	2
2021-01-06	626	15	27	0
2021-01-05	611	13	27	0
2021-01-04	598	23	27	0
2020-12-30	575	6	27	0
2020-12-29	569	13	27	1
2020-12-28	556	7	26	1
2020-12-27	549	4	25	0
2020-12-26	545	1	25	0
2020-12-25	544	2	25	0
2020-12-24	542	4	25	0
2020-12-23	538	11	25	0
2020-12-22	527	16	25	1
2020-12-21	511	31	24	2
2020-12-17	480	11	22	0
2020-12-16	469	12	22	0
2020-12-15	457	12	22	3
2020-12-14	445	11	19	0
2020-12-13	434	3	19	1
2020-12-12	431	14	18	0
2020-12-11	417	8	18	0
2020-12-10	409	37	18	2
2020-12-09	372	6	16	0
2020-12-08	366	20	16	1
2020-12-07	346	19	15	2
2020-12-04	327	18	13	1
2020-12-03	309	2	12	0
2020-12-02	307	14	12	0
2020-12-01	293	11	12	2
2020-11-30	282	7	10	0
2020-11-27	275	3	10	0
2020-11-26	272	10	10	0
2020-11-25	262	11	10	2
2020-11-24	251	7	8	0
2020-11-23	244	1	8	0
2020-11-21	243	4	8	0
2020-11-20	239	7	8	1
2020-11-19	232	7	7	0
2020-11-18	225	11	7	0
2020-11-17	214	4	7	0
2020-11-16	210	4	7	0
2020-11-13	206	2	7	0
2020-11-12	204	4	7	0
2020-11-11	200	6	7	0
2020-11-10	194	3	7	0
2020-11-09	191	3	7	0
2020-11-06	188	3	7	0
2020-11-05	185	6	7	0
2020-11-04	179	2	7	0
2020-11-03	177	9	7	0
2020-11-02	168	2	7	0
2020-10-31	166	4	7	0
2020-10-30	162	7	7	0
2020-10-29	155	4	7	0
2020-10-28	151	4	7	0
2020-10-26	147	1	7	0
2020-10-20	146	2	7	0
2020-10-19	144	1	7	0
2020-10-16	143	1	7	0
2020-10-15	142	1	7	0
2020-10-13	141	1	7	0
2020-10-12	140	1	7	0
2020-10-09	139	1	7	0
2020-10-06	138	2	7	0
2020-10-02	136	1	7	0
2020-09-27	135	1	7	0
2020-09-24	134	1	7	0
2020-09-23	133	1	7	0
2020-09-19	132	1	7	0
2020-09-18	131	1	7	0
2020-09-16	130	3	7	0
2020-09-15	127	1	7	0
2020-09-14	126	1	7	0
2020-09-09	125	1	7	0
2020-09-08	124	1	7	0
2020-09-05	123	2	7	0
2020-09-04	121	2	7	0
2020-08-28	119	1	7	0
2020-08-27	118	1	7	0
2020-08-25	117	3	7	0
2020-08-18	114	5	7	0
2020-08-13	109	1	7	0
2020-08-10	108	1	7	0
2020-07-29	107	1	7	0
2020-05-14	106	2	7	0
2020-04-23	104	1	7	0
2020-04-21	103	3	7	0
2020-04-18	100	1	7	0
2020-04-16	99	1	7	0
2020-04-15	98	3	7	0
2020-04-13	95	1	7	1
2020-04-11	94	3	6	0
2020-04-09	91	1	6	0
2020-04-08	90	11	6	1
2020-04-07	79	1	5	1
2020-04-04	78	2	4	1
2020-04-03	76	3	3	0
2020-04-02	73	3	3	1
2020-04-01	70	7	2	2
2020-03-31	63	7	0	0
2020-03-30	56	9	0	0
2020-03-28	47	2	0	0
2020-03-27	45	6	0	0
2020-03-26	39	3	0	0
2020-03-25	36	2	0	0
2020-03-24	34	5	0	0
2020-03-23	29	1	0	0
2020-03-21	28	4	0	0
2020-03-20	24	3	0	0
2020-03-19	21	6	0	0
2020-03-18	15	1	0	0
2020-03-17	14	2	0	0
2020-03-16	12	1	0	0
2020-03-15	11	5	0	0
2020-03-14	6	4	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: 0:04:02.849950