Hungary: Vas

• 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 16:42:16 CEST

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

overview(country="Hungary", region="Vas", weeks=5);

overview(country="Hungary", region="Vas");

compare_plot(country="Hungary", region="Vas");

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[5], line 1
----> 1 compare_plot(country="Hungary", region="Vas");

File /tank/oscovida/work/oscovida.github.io/oscovida.github.io/.venv/lib/python3.9/site-packages/oscovida/oscovida.py:1976, in compare_plot(country, region, subregion, savefig, normalise, dates, align)
   1974 if normalise:
   1975     _population = population(country=country, region=region, subregion=subregion)
-> 1976     c *= 100000 / _population
   1977     d *= 100000 / _population
   1979 if not subregion and not region:    # i.e. not a region of Germany

TypeError: unsupported operand type(s) for /: 'int' and 'NoneType'

# load the data
cases, deaths = get_region_hungary(county="Vas")

# get population of the region for future normalisation:
inhabitants = population(country="Hungary", region="Vas")
print(f'Population of country="Hungary", region="Vas": {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="Hungary", region="Vas": None people

	total cases	daily new cases
Dátum
2022-12-21	60869	73
2022-12-14	60796	91
2022-12-07	60705	102
2022-11-30	60603	90
2022-11-23	60513	63
2022-11-16	60450	83
2022-11-09	60367	242
2022-10-26	60125	220
2022-10-19	59905	302
2022-10-12	59603	304
2022-10-05	59299	339
2022-09-28	58960	302
2022-09-21	58658	257
2022-09-14	58401	224
2022-09-07	58177	210
2022-08-31	57967	220
2022-08-24	57747	273
2022-08-17	57474	249
2022-08-10	57225	315
2022-08-03	56910	507
2022-07-27	56403	454
2022-07-20	55949	320
2022-07-13	55629	289
2022-07-06	55340	118
2022-06-29	55222	53
2022-06-22	55169	15
2022-06-15	55154	12
2022-06-08	55142	16
2022-06-01	55126	41
2022-05-25	55085	94
2022-05-18	54991	140
2022-05-11	54851	164
2022-05-02	54687	95
2022-04-28	54592	43
2022-04-27	54549	42
2022-04-26	54507	29
2022-04-25	54478	96
2022-04-22	54382	52
2022-04-21	54330	94
2022-04-20	54236	30
2022-04-19	54206	150
2022-04-14	54056	101
2022-04-13	53955	96
2022-04-12	53859	44
2022-04-11	53815	137
2022-04-08	53678	126
2022-04-06	53552	53
2022-04-05	53499	149
2022-04-01	53350	66
2022-03-31	53284	86
2022-03-30	53198	63
2022-03-29	53135	45
2022-03-28	53090	118
2022-03-25	52972	69
2022-03-24	52903	56
2022-03-23	52847	69
2022-03-22	52778	22
2022-03-21	52756	137
2022-03-18	52619	72
2022-03-17	52547	23
2022-03-16	52524	131
2022-03-11	52393	46
2022-03-10	52347	39
2022-03-09	52308	66
2022-03-08	52242	42
2022-03-07	52200	156
2022-03-04	52044	82
2022-03-03	51962	98
2022-03-02	51864	92
2022-03-01	51772	79
2022-02-28	51693	282
2022-02-25	51411	103
2022-02-24	51308	143
2022-02-23	51165	153
2022-02-22	51012	115
2022-02-21	50897	423
2022-02-18	50474	204
2022-02-17	50270	240
2022-02-16	50030	233
2022-02-15	49797	121
2022-02-14	49676	795
2022-02-11	48881	397
2022-02-10	48484	408
2022-02-09	48076	387
2022-02-08	47689	299
2022-02-07	47390	1118
2022-02-04	46272	383
2022-02-03	45889	580
2022-02-02	45309	549
2022-02-01	44760	308
2022-01-31	44452	1658
2022-01-28	42794	613
2022-01-27	42181	713
2022-01-26	41468	771
2022-01-25	40697	448
2022-01-24	40249	1361
2022-01-21	38888	567
2022-01-20	38321	565
2022-01-19	37756	469
2022-01-18	37287	222
2022-01-17	37065	728
2022-01-14	36337	281
2022-01-13	36056	183
2022-01-12	35873	206
2022-01-11	35667	112
2022-01-10	35555	359
2022-01-07	35196	178
2022-01-06	35018	135
2022-01-05	34883	120
2022-01-04	34763	36
2022-01-03	34727	177
2021-12-31	34550	87
2021-12-30	34463	94
2021-12-29	34369	84
2021-12-28	34285	38
2021-12-27	34247	215
2021-12-23	34032	100
2021-12-22	33932	113
2021-12-21	33819	77
2021-12-20	33742	298
2021-12-17	33444	181
2021-12-16	33263	133
2021-12-15	33130	175
2021-12-14	32955	120
2021-12-13	32835	513
2021-12-10	32322	258
2021-12-09	32064	180
2021-12-08	31884	272
2021-12-07	31612	149
2021-12-06	31463	691
2021-12-03	30772	353
2021-12-02	30419	289
2021-12-01	30130	391
2021-11-30	29739	194
2021-11-29	29545	685
2021-11-26	28860	291
2021-11-25	28569	301
2021-11-24	28268	371
2021-11-23	27897	125
2021-11-22	27772	649
2021-11-19	27123	222
2021-11-18	26901	230
2021-11-17	26671	246
2021-11-16	26425	118
2021-11-15	26307	427
2021-11-12	25880	144
2021-11-11	25736	156
2021-11-10	25580	141
2021-11-09	25439	73
2021-11-08	25366	350
2021-11-05	25016	128
2021-11-04	24888	103
2021-11-03	24785	55
2021-11-02	24730	24
2021-11-01	24706	155
2021-10-29	24551	66
2021-10-28	24485	57
2021-10-27	24428	56
2021-10-26	24372	20
2021-10-25	24352	112
2021-10-22	24240	52
2021-10-21	24188	37
2021-10-20	24151	22
2021-10-19	24129	15
2021-10-18	24114	27
2021-10-15	24087	14
2021-10-14	24073	15
2021-10-13	24058	12
2021-10-12	24046	6
2021-10-11	24040	50
2021-10-08	23990	15
2021-10-07	23975	23
2021-10-06	23952	17
2021-10-05	23935	8
2021-10-04	23927	34
2021-10-01	23893	15
2021-09-30	23878	16
2021-09-29	23862	14
2021-09-28	23848	4
2021-09-27	23844	24
2021-09-24	23820	11
2021-09-23	23809	8
2021-09-22	23801	10
2021-09-21	23791	1
2021-09-20	23790	11
2021-09-17	23779	11
2021-09-16	23768	10
2021-09-15	23758	8
2021-09-14	23750	4
2021-09-13	23746	14
2021-09-10	23732	8
2021-09-09	23724	6
2021-09-08	23718	8
2021-09-07	23710	5
2021-09-06	23705	9
2021-09-03	23696	6
2021-09-02	23690	5
2021-09-01	23685	8
2021-08-31	23677	2
2021-08-30	23675	5
2021-08-27	23670	3
2021-08-26	23667	0
2021-08-25	23667	0
2021-08-24	23667	0
2021-08-23	23667	4
2021-08-19	23663	1
2021-08-18	23662	0
2021-08-17	23662	1
2021-08-16	23661	3
2021-08-13	23658	1
2021-08-12	23657	0
2021-08-11	23657	4
2021-08-10	23653	1
2021-08-09	23652	2
2021-08-06	23650	0
2021-08-05	23650	3
2021-08-04	23647	1
2021-08-03	23646	0
2021-08-02	23646	1
2021-07-30	23645	1
2021-07-29	23644	3
2021-07-28	23641	1
2021-07-27	23640	1
2021-07-26	23639	4
2021-07-23	23635	2
2021-07-22	23633	2
2021-07-21	23631	1
2021-07-20	23630	1
2021-07-19	23629	5
2021-07-16	23624	3
2021-07-15	23621	2
2021-07-14	23619	0
2021-07-13	23619	0
2021-07-12	23619	8
2021-07-09	23611	1
2021-07-08	23610	0
2021-07-07	23610	1
2021-07-06	23609	1
2021-07-05	23608	2
2021-07-02	23606	4
2021-07-01	23602	0
2021-06-30	23602	0
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2021-06-11	23555	8
2021-06-10	23547	5
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2021-06-07	23526	1
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2021-05-29	23453	20
2021-05-28	23433	18
2021-05-27	23415	14
2021-05-26	23401	4
2021-05-25	23397	9
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2021-05-23	23374	31
2021-05-22	23343	38
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2021-05-19	23242	16
2021-05-18	23226	13
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2021-05-16	23199	27
2021-05-15	23172	25
2021-05-14	23147	40
2021-05-13	23107	28
2021-05-12	23079	19
2021-05-11	23060	8
2021-05-10	23052	23
2021-05-09	23029	33
2021-05-08	22996	41
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2021-05-04	22821	23
2021-05-03	22798	26
2021-05-02	22772	61
2021-05-01	22711	62
2021-04-30	22649	66
2021-04-29	22583	72
2021-04-28	22511	49
2021-04-27	22462	76
2021-04-26	22386	47
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2021-04-17	21705	161
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2021-04-14	21241	133
2021-04-13	21108	212
2021-04-12	20896	83
2021-04-11	20813	242
2021-04-10	20571	325
2021-04-09	20246	174
2021-04-08	20072	169
2021-04-07	19903	103
2021-04-06	19800	73
2021-04-05	19727	123
2021-04-04	19604	147
2021-04-03	19457	308
2021-04-02	19149	201
2021-04-01	18948	279
2021-03-31	18669	195
2021-03-30	18474	161
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2020-12-31	10414	78
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2020-10-23	1464	65
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2020-10-21	1363	48
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2020-10-19	1249	90
2020-10-18	1159	59
2020-10-17	1100	92
2020-10-16	1008	55
2020-10-15	953	4
2020-10-14	949	34
2020-10-13	915	50
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2020-10-11	831	24
2020-10-10	807	43
2020-10-09	764	37
2020-10-08	727	39
2020-10-07	688	13
2020-10-06	675	19
2020-10-05	656	25
2020-10-04	631	28
2020-10-03	603	38
2020-10-02	565	40
2020-10-01	525	3
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2020-09-29	506	47
2020-09-28	459	19
2020-09-27	440	40
2020-09-26	400	24
2020-09-25	376	25
2020-09-24	351	7
2020-09-23	344	87
2020-09-22	257	7
2020-09-21	250	11
2020-09-20	239	11
2020-09-19	228	33
2020-09-18	195	22
2020-09-17	173	22
2020-09-16	151	6
2020-09-15	145	8
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2020-09-11	91	3
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2020-09-07	75	6
2020-09-06	69	6
2020-09-05	63	6
2020-09-04	57	2
2020-09-03	55	4
2020-09-02	51	2
2020-09-01	49	0
2020-08-31	49	1
2020-08-30	48	4
2020-08-29	44	0
2020-08-28	44	1
2020-08-27	43	0
2020-08-26	43	0
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2020-08-21	43	1
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2020-07-31	25	1
2020-07-30	24	0
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2020-07-19	19	1
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2020-06-26	17	0
2020-06-25	17	0
2020-06-24	17	0
2020-06-23	17	0
2020-06-22	17	0
2020-06-21	17	0
2020-06-20	17	0
2020-06-19	17	0
2020-06-18	17	0
2020-06-17	17	0
2020-06-15	17	0
2020-06-14	17	0
2020-06-13	17	0
2020-06-12	17	0
2020-06-11	17	0
2020-06-10	17	0
2020-06-09	17	0
2020-06-08	17	0
2020-06-07	17	0
2020-06-06	17	0
2020-06-05	17	0
2020-06-04	17	0
2020-06-03	17	0
2020-06-02	17	0
2020-06-01	17	0
2020-05-31	17	0
2020-05-30	17	0
2020-05-29	17	0
2020-05-28	17	0
2020-05-27	17	0
2020-05-26	17	0
2020-05-25	17	0
2020-05-24	17	0
2020-05-23	17	0
2020-05-22	17	0
2020-05-21	17	0
2020-05-20	17	0
2020-05-19	17	0
2020-05-18	17	0
2020-05-17	17	0
2020-05-16	17	1
2020-05-15	16	0
2020-05-14	16	2
2020-05-13	14	0
2020-05-12	14	0
2020-05-11	14	0
2020-05-10	14	0
2020-05-09	14	0
2020-05-08	14	0
2020-05-07	14	0
2020-05-06	14	0
2020-05-05	14	0
2020-05-04	14	0
2020-05-03	14	0
2020-05-02	14	0
2020-05-01	14	0
2020-04-30	14	0
2020-04-29	14	0
2020-04-28	14	0
2020-04-27	14	0
2020-04-26	14	0
2020-04-25	14	0
2020-04-24	14	0
2020-04-23	14	-1
2020-04-22	15	1
2020-04-21	14	0
2020-04-20	14	0
2020-04-19	14	0
2020-04-18	14	0
2020-04-17	14	0
2020-04-16	14	0
2020-04-15	14	0
2020-04-14	14	0
2020-04-13	14	0
2020-04-12	14	0
2020-04-11	14	1
2020-04-10	13	1
2020-04-09	12	0
2020-04-08	12	0
2020-04-07	12	1
2020-04-06	11	0
2020-04-05	11	0
2020-04-04	11	2
2020-04-03	9	0
2020-04-02	9	0
2020-04-01	9	1

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: 0:00:08.968570