Hungary: Szabolcs-Szatmár-Bereg¶

  • Homepage of project: https://oscovida.github.io
  • Plots are explained at http://oscovida.github.io/plots.html
  • Execute this Jupyter Notebook using myBinder
In [1]:
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 16:42:02 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Hungary", region="Szabolcs-Szatmár-Bereg", weeks=5);
2023-03-07T16:42:06.409863 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 21 Nov 28 Nov 05 Dec 12 Dec 19 Dec 200 200 225 225 250 250 275 275 7-day incidence rate Szabolcs-Szatmár-Bereg, Hungary, last 5 weeks, last data point from 2022-12-21 21 Nov 28 Nov 05 Dec 12 Dec 19 Dec 0 0 100 100 200 200 300 300 daily change Hungary-Szabolcs-Szatmár-Bereg new cases (rolling 7d mean) Hungary-Szabolcs-Szatmár-Bereg new cases 21 Nov 28 Nov 05 Dec 12 Dec 19 Dec No data available to plot daily change in deaths 21 Nov 28 Nov 05 Dec 12 Dec 19 Dec 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 R & growth factor (based on cases) Hungary-Szabolcs-Szatmár-Bereg cases daily growth factor Hungary-Szabolcs-Szatmár-Bereg cases daily growth factor (rolling mean) Hungary-Szabolcs-Szatmár-Bereg estimated R (using cases) 21 Nov 28 Nov 05 Dec 12 Dec 19 Dec No data available to plot R & growth factor (based on deaths) 21 Nov 28 Nov 05 Dec 12 Dec 19 Dec 0 0 1000 1000 2000 2000 3000 3000 cases doubling time [days]
In [4]:
overview(country="Hungary", region="Szabolcs-Szatmár-Bereg");
2023-03-07T16:42:11.088964 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 0 2000 2000 4000 4000 6000 6000 7-day incidence rate 286.0 Szabolcs-Szatmár-Bereg, Hungary, last data point from 2022-12-21 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 0 1000 1000 2000 2000 daily change Hungary-Szabolcs-Szatmár-Bereg new cases (rolling 7d mean) Hungary-Szabolcs-Szatmár-Bereg new cases May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 No data available to plot daily change in deaths May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 R & growth factor (based on cases) Hungary-Szabolcs-Szatmár-Bereg cases daily growth factor Hungary-Szabolcs-Szatmár-Bereg cases daily growth factor (rolling mean) Hungary-Szabolcs-Szatmár-Bereg estimated R (using cases) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 No data available to plot R & growth factor (based on deaths) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 0 20000 20000 40000 40000 cases doubling time [days]
In [5]:
compare_plot(country="Hungary", region="Szabolcs-Szatmár-Bereg");
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[5], line 1
----> 1 compare_plot(country="Hungary", region="Szabolcs-Szatmár-Bereg");

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'
In [6]:
# load the data
cases, deaths = get_region_hungary(county="Szabolcs-Szatmár-Bereg")

# get population of the region for future normalisation:
inhabitants = population(country="Hungary", region="Szabolcs-Szatmár-Bereg")
print(f'Population of country="Hungary", region="Szabolcs-Szatmár-Bereg": {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="Szabolcs-Szatmár-Bereg": None people
Out[6]:
total cases daily new cases
Dátum
2022-12-21 121440 286
2022-12-14 121154 259
2022-12-07 120895 193
2022-11-30 120702 223
2022-11-23 120479 204
2022-11-16 120275 189
2022-11-09 120086 584
2022-10-26 119502 460
2022-10-19 119042 672
2022-10-12 118370 769
2022-10-05 117601 909
2022-09-28 116692 989
2022-09-21 115703 1268
2022-09-14 114435 1151
2022-09-07 113284 762
2022-08-31 112522 915
2022-08-24 111607 1195
2022-08-17 110412 1190
2022-08-10 109222 1329
2022-08-03 107893 1179
2022-07-27 106714 783
2022-07-20 105931 540
2022-07-13 105391 412
2022-07-06 104979 220
2022-06-29 104759 126
2022-06-22 104633 95
2022-06-15 104538 108
2022-06-08 104430 108
2022-06-01 104322 126
2022-05-25 104196 157
2022-05-18 104039 234
2022-05-11 103805 364
2022-05-02 103441 180
2022-04-28 103261 112
2022-04-27 103149 117
2022-04-26 103032 102
2022-04-25 102930 205
2022-04-22 102725 114
2022-04-21 102611 199
2022-04-20 102412 85
2022-04-19 102327 236
2022-04-14 102091 139
2022-04-13 101952 151
2022-04-12 101801 127
2022-04-11 101674 228
2022-04-08 101446 233
2022-04-06 101213 164
2022-04-05 101049 346
2022-04-01 100703 128
2022-03-31 100575 164
2022-03-30 100411 199
2022-03-29 100212 146
2022-03-28 100066 244
2022-03-25 99822 128
2022-03-24 99694 147
2022-03-23 99547 166
2022-03-22 99381 107
2022-03-21 99274 310
2022-03-18 98964 248
2022-03-17 98716 111
2022-03-16 98605 295
2022-03-11 98310 140
2022-03-10 98170 154
2022-03-09 98016 171
2022-03-08 97845 124
2022-03-07 97721 411
2022-03-04 97310 220
2022-03-03 97090 254
2022-03-02 96836 246
2022-03-01 96590 166
2022-02-28 96424 556
2022-02-25 95868 340
2022-02-24 95528 387
2022-02-23 95141 592
2022-02-22 94549 294
2022-02-21 94255 990
2022-02-18 93265 537
2022-02-17 92728 619
2022-02-16 92109 740
2022-02-15 91369 375
2022-02-14 90994 1353
2022-02-11 89641 773
2022-02-10 88868 879
2022-02-09 87989 1044
2022-02-08 86945 583
2022-02-07 86362 1933
2022-02-04 84429 1090
2022-02-03 83339 1234
2022-02-02 82105 1576
2022-02-01 80529 710
2022-01-31 79819 2445
2022-01-28 77374 1026
2022-01-27 76348 1158
2022-01-26 75190 1154
2022-01-25 74036 619
2022-01-24 73417 1803
2022-01-21 71614 706
2022-01-20 70908 718
2022-01-19 70190 711
2022-01-18 69479 443
2022-01-17 69036 938
2022-01-14 68098 378
2022-01-13 67720 418
2022-01-12 67302 364
2022-01-11 66938 208
2022-01-10 66730 745
2022-01-07 65985 316
2022-01-06 65669 320
2022-01-05 65349 323
2022-01-04 65026 167
2022-01-03 64859 330
2021-12-31 64529 195
2021-12-30 64334 260
2021-12-29 64074 215
2021-12-28 63859 120
2021-12-27 63739 529
2021-12-23 63210 277
2021-12-22 62933 233
2021-12-21 62700 227
2021-12-20 62473 776
2021-12-17 61697 406
2021-12-16 61291 455
2021-12-15 60836 437
2021-12-14 60399 357
2021-12-13 60042 1152
2021-12-10 58890 506
2021-12-09 58384 573
2021-12-08 57811 501
2021-12-07 57310 318
2021-12-06 56992 1246
2021-12-03 55746 682
2021-12-02 55064 609
2021-12-01 54455 668
2021-11-30 53787 437
2021-11-29 53350 1721
2021-11-26 51629 751
2021-11-25 50878 640
2021-11-24 50238 739
2021-11-23 49499 433
2021-11-22 49066 1236
2021-11-19 47830 534
2021-11-18 47296 472
2021-11-17 46824 438
2021-11-16 46386 283
2021-11-15 46103 790
2021-11-12 45313 340
2021-11-11 44973 362
2021-11-10 44611 282
2021-11-09 44329 194
2021-11-08 44135 667
2021-11-05 43468 205
2021-11-04 43263 239
2021-11-03 43024 100
2021-11-02 42924 48
2021-11-01 42876 301
2021-10-29 42575 110
2021-10-28 42465 120
2021-10-27 42345 69
2021-10-26 42276 52
2021-10-25 42224 147
2021-10-22 42077 57
2021-10-21 42020 55
2021-10-20 41965 46
2021-10-19 41919 29
2021-10-18 41890 87
2021-10-15 41803 29
2021-10-14 41774 28
2021-10-13 41746 16
2021-10-12 41730 17
2021-10-11 41713 49
2021-10-08 41664 25
2021-10-07 41639 30
2021-10-06 41609 15
2021-10-05 41594 7
2021-10-04 41587 31
2021-10-01 41556 16
2021-09-30 41540 18
2021-09-29 41522 2
2021-09-28 41520 3
2021-09-27 41517 17
2021-09-24 41500 13
2021-09-23 41487 19
2021-09-22 41468 12
2021-09-21 41456 10
2021-09-20 41446 30
2021-09-17 41416 23
2021-09-16 41393 10
2021-09-15 41383 12
2021-09-14 41371 7
2021-09-13 41364 22
2021-09-10 41342 7
2021-09-09 41335 1
2021-09-08 41334 4
2021-09-07 41330 2
2021-09-06 41328 12
2021-09-03 41316 4
2021-09-02 41312 8
2021-09-01 41304 0
2021-08-31 41304 2
2021-08-30 41302 9
2021-08-27 41293 3
2021-08-26 41290 2
2021-08-25 41288 0
2021-08-24 41288 4
2021-08-23 41284 5
2021-08-19 41279 3
2021-08-18 41276 3
2021-08-17 41273 1
2021-08-16 41272 6
2021-08-13 41266 3
2021-08-12 41263 3
2021-08-11 41260 4
2021-08-10 41256 0
2021-08-09 41256 1
2021-08-06 41255 0
2021-08-05 41255 1
2021-08-04 41254 1
2021-08-03 41253 0
2021-08-02 41253 2
2021-07-30 41251 0
2021-07-29 41251 1
2021-07-28 41250 4
2021-07-27 41246 2
2021-07-26 41244 2
2021-07-23 41242 1
2021-07-22 41241 1
2021-07-21 41240 2
2021-07-20 41238 0
2021-07-19 41238 6
2021-07-16 41232 2
2021-07-15 41230 4
2021-07-14 41226 0
2021-07-13 41226 0
2021-07-12 41226 3
2021-07-09 41223 0
2021-07-08 41223 3
2021-07-07 41220 1
2021-07-06 41219 4
2021-07-05 41215 3
2021-07-02 41212 1
2021-07-01 41211 1
2021-06-30 41210 1
2021-06-29 41209 4
2021-06-28 41205 3
2021-06-25 41202 1
2021-06-24 41201 1
2021-06-23 41200 2
2021-06-22 41198 3
2021-06-21 41195 12
2021-06-18 41183 3
2021-06-17 41180 2
2021-06-16 41178 3
2021-06-15 41175 7
2021-06-14 41168 8
2021-06-11 41160 8
2021-06-10 41152 2
2021-06-09 41150 3
2021-06-08 41147 9
2021-06-07 41138 3
2021-06-06 41135 3
2021-06-05 41132 11
2021-06-04 41121 9
2021-06-03 41112 6
2021-06-02 41106 10
2021-06-01 41096 9
2021-05-31 41087 7
2021-05-30 41080 19
2021-05-29 41061 18
2021-05-28 41043 17
2021-05-27 41026 25
2021-05-26 41001 10
2021-05-25 40991 12
2021-05-24 40979 8
2021-05-23 40971 21
2021-05-22 40950 48
2021-05-21 40902 38
2021-05-20 40864 23
2021-05-19 40841 18
2021-05-18 40823 15
2021-05-17 40808 31
2021-05-16 40777 38
2021-05-15 40739 32
2021-05-14 40707 59
2021-05-13 40648 51
2021-05-12 40597 17
2021-05-11 40580 17
2021-05-10 40563 32
2021-05-09 40531 51
2021-05-08 40480 52
2021-05-07 40428 71
2021-05-06 40357 66
2021-05-05 40291 38
2021-05-04 40253 39
2021-05-03 40214 78
2021-05-02 40136 64
2021-05-01 40072 75
2021-04-30 39997 99
2021-04-29 39898 87
2021-04-28 39811 55
2021-04-27 39756 76
2021-04-26 39680 108
2021-04-25 39572 84
2021-04-24 39488 149
2021-04-23 39339 225
2021-04-22 39114 188
2021-04-21 38926 103
2021-04-20 38823 106
2021-04-19 38717 199
2021-04-18 38518 236
2021-04-17 38282 236
2021-04-16 38046 351
2021-04-15 37695 323
2021-04-14 37372 178
2021-04-13 37194 184
2021-04-12 37010 283
2021-04-11 36727 394
2021-04-10 36333 516
2021-04-09 35817 381
2021-04-08 35436 233
2021-04-07 35203 130
2021-04-06 35073 128
2021-04-05 34945 244
2021-04-04 34701 362
2021-04-03 34339 539
2021-04-02 33800 545
2021-04-01 33255 464
2021-03-31 32791 260
2021-03-30 32531 341
2021-03-29 32190 401
2021-03-28 31789 500
2021-03-27 31289 614
2021-03-26 30675 658
2021-03-25 30017 495
2021-03-24 29522 337
2021-03-23 29185 406
2021-03-22 28779 471
2021-03-21 28308 487
2021-03-20 27821 628
2021-03-19 27193 469
2021-03-18 26724 294
2021-03-17 26430 208
2021-03-16 26222 282
2021-03-15 25940 342
2021-03-14 25598 373
2021-03-13 25225 490
2021-03-12 24735 450
2021-03-11 24285 511
2021-03-10 23774 253
2021-03-09 23521 343
2021-03-08 23178 175
2021-03-07 23003 320
2021-03-06 22683 344
2021-03-05 22339 359
2021-03-04 21980 323
2021-03-03 21657 190
2021-03-02 21467 158
2021-03-01 21309 221
2021-02-28 21088 206
2021-02-27 20882 299
2021-02-26 20583 219
2021-02-25 20364 200
2021-02-24 20164 78
2021-02-23 20086 76
2021-02-22 20010 97
2021-02-21 19913 148
2021-02-20 19765 192
2021-02-19 19573 158
2021-02-18 19415 136
2021-02-17 19279 59
2021-02-16 19220 75
2021-02-15 19145 83
2021-02-14 19062 62
2021-02-13 19000 72
2021-02-12 18928 114
2021-02-11 18814 92
2021-02-10 18722 45
2021-02-09 18677 87
2021-02-08 18590 72
2021-02-07 18518 105
2021-02-06 18413 89
2021-02-05 18324 116
2021-02-04 18208 98
2021-02-03 18110 32
2021-02-02 18078 20
2021-02-01 18058 50
2021-01-31 18008 41
2021-01-30 17967 72
2021-01-29 17895 68
2021-01-28 17827 53
2021-01-27 17774 21
2021-01-26 17753 30
2021-01-25 17723 45
2021-01-24 17678 44
2021-01-23 17634 54
2021-01-22 17580 67
2021-01-21 17513 69
2021-01-20 17444 35
2021-01-19 17409 57
2021-01-18 17352 27
2021-01-17 17325 37
2021-01-16 17288 71
2021-01-15 17217 79
2021-01-14 17138 75
2021-01-13 17063 39
2021-01-12 17024 35
2021-01-11 16989 59
2021-01-10 16930 67
2021-01-09 16863 137
2021-01-08 16726 150
2021-01-07 16576 118
2021-01-06 16458 62
2021-01-05 16396 72
2021-01-04 16324 47
2021-01-03 16277 68
2021-01-02 16209 88
2021-01-01 16121 107
2020-12-31 16014 108
2020-12-30 15906 58
2020-12-29 15848 62
2020-12-28 15786 24
2020-12-27 15762 51
2020-12-26 15711 81
2020-12-25 15630 120
2020-12-24 15510 112
2020-12-23 15398 75
2020-12-22 15323 103
2020-12-21 15220 82
2020-12-20 15138 123
2020-12-19 15015 145
2020-12-18 14870 208
2020-12-17 14662 155
2020-12-16 14507 156
2020-12-15 14351 82
2020-12-14 14269 144
2020-12-13 14125 166
2020-12-12 13959 207
2020-12-11 13752 297
2020-12-10 13455 258
2020-12-09 13197 129
2020-12-08 13068 107
2020-12-07 12961 148
2020-12-06 12813 359
2020-12-05 12454 171
2020-12-04 12283 394
2020-12-03 11889 341
2020-12-02 11548 150
2020-12-01 11398 376
2020-11-30 11022 299
2020-11-29 10723 213
2020-11-28 10510 264
2020-11-27 10246 280
2020-11-26 9966 296
2020-11-25 9670 221
2020-11-24 9449 220
2020-11-23 9229 165
2020-11-22 9064 122
2020-11-21 8942 240
2020-11-20 8702 110
2020-11-19 8592 112
2020-11-18 8480 264
2020-11-17 8216 278
2020-11-16 7938 1495
2020-11-15 6443 15
2020-11-14 6428 23
2020-11-13 6405 -1
2020-11-12 6406 9
2020-11-11 6397 161
2020-11-10 6236 221
2020-11-09 6015 288
2020-11-08 5727 65
2020-11-07 5662 202
2020-11-06 5460 196
2020-11-05 5264 287
2020-11-04 4977 334
2020-11-03 4643 148
2020-11-02 4495 440
2020-11-01 4055 94
2020-10-31 3961 224
2020-10-30 3737 113
2020-10-29 3624 129
2020-10-28 3495 173
2020-10-27 3322 144
2020-10-26 3178 237
2020-10-25 2941 90
2020-10-24 2851 4
2020-10-23 2847 149
2020-10-22 2698 175
2020-10-21 2523 172
2020-10-20 2351 11
2020-10-19 2340 123
2020-10-18 2217 127
2020-10-17 2090 101
2020-10-16 1989 46
2020-10-15 1943 20
2020-10-14 1923 37
2020-10-13 1886 172
2020-10-12 1714 8
2020-10-11 1706 122
2020-10-10 1584 71
2020-10-09 1513 69
2020-10-08 1444 11
2020-10-07 1433 84
2020-10-06 1349 21
2020-10-05 1328 26
2020-10-04 1302 82
2020-10-03 1220 46
2020-10-02 1174 118
2020-10-01 1056 1
2020-09-30 1055 49
2020-09-29 1006 36
2020-09-28 970 0
2020-09-27 970 47
2020-09-26 923 69
2020-09-25 854 14
2020-09-24 840 20
2020-09-23 820 41
2020-09-22 779 70
2020-09-21 709 42
2020-09-20 667 59
2020-09-19 608 42
2020-09-18 566 65
2020-09-17 501 33
2020-09-16 468 51
2020-09-15 417 -13
2020-09-14 430 49
2020-09-13 381 2
2020-09-12 379 4
2020-09-11 375 42
2020-09-10 333 18
2020-09-09 315 5
2020-09-08 310 17
2020-09-07 293 23
2020-09-06 270 20
2020-09-05 250 29
2020-09-04 221 23
2020-09-03 198 14
2020-09-02 184 12
2020-09-01 172 0
2020-08-31 172 5
2020-08-30 167 7
2020-08-29 160 5
2020-08-28 155 12
2020-08-27 143 4
2020-08-26 139 -4
2020-08-25 143 6
2020-08-24 137 17
2020-08-23 120 0
2020-08-22 120 4
2020-08-21 116 8
2020-08-20 108 7
2020-08-19 101 0
2020-08-18 101 2
2020-08-17 99 1
2020-08-16 98 5
2020-08-15 93 8
2020-08-14 85 10
2020-08-13 75 9
2020-08-12 66 5
2020-08-11 61 1
2020-08-10 60 2
2020-08-09 58 1
2020-08-08 57 1
2020-08-07 56 0
2020-08-06 56 1
2020-08-05 55 1
2020-08-04 54 0
2020-08-03 54 0
2020-08-02 54 0
2020-08-01 54 0
2020-07-31 54 0
2020-07-30 54 0
2020-07-29 54 0
2020-07-28 54 0
2020-07-27 54 0
2020-07-26 54 0
2020-07-25 54 0
2020-07-24 54 1
2020-07-23 53 0
2020-07-22 53 0
2020-07-21 53 0
2020-07-20 53 0
2020-07-19 53 0
2020-07-18 53 0
2020-07-17 53 0
2020-07-16 53 0
2020-07-15 53 0
2020-07-14 53 0
2020-07-13 53 0
2020-07-12 53 0
2020-07-11 53 0
2020-07-10 53 0
2020-07-09 53 0
2020-07-08 53 0
2020-07-06 53 0
2020-07-05 53 1
2020-07-04 52 0
2020-07-03 52 1
2020-07-02 51 0
2020-07-01 51 0
2020-06-30 51 0
2020-06-29 51 0
2020-06-28 51 0
2020-06-27 51 0
2020-06-26 51 1
2020-06-25 50 0
2020-06-24 50 0
2020-06-23 50 0
2020-06-22 50 2
2020-06-21 48 0
2020-06-20 48 0
2020-06-19 48 0
2020-06-18 48 0
2020-06-17 48 1
2020-06-15 47 0
2020-06-14 47 0
2020-06-13 47 0
2020-06-12 47 0
2020-06-11 47 3
2020-06-10 44 0
2020-06-09 44 0
2020-06-08 44 1
2020-06-07 43 0
2020-06-06 43 0
2020-06-05 43 0
2020-06-04 43 1
2020-06-03 42 1
2020-06-02 41 0
2020-06-01 41 1
2020-05-31 40 0
2020-05-30 40 0
2020-05-29 40 2
2020-05-28 38 -1
2020-05-27 39 1
2020-05-26 38 0
2020-05-25 38 0
2020-05-24 38 0
2020-05-23 38 0
2020-05-22 38 -11
2020-05-21 49 0
2020-05-20 49 0
2020-05-19 49 0
2020-05-18 49 1
2020-05-17 48 0
2020-05-16 48 0
2020-05-15 48 1
2020-05-14 47 0
2020-05-13 47 0
2020-05-12 47 0
2020-05-11 47 0
2020-05-10 47 0
2020-05-09 47 0
2020-05-08 47 0
2020-05-07 47 0
2020-05-06 47 0
2020-05-05 47 0
2020-05-04 47 0
2020-05-03 47 0
2020-05-02 47 0
2020-05-01 47 0
2020-04-30 47 0
2020-04-29 47 0
2020-04-28 47 2
2020-04-27 45 0
2020-04-26 45 1
2020-04-25 44 1
2020-04-24 43 0
2020-04-23 43 0
2020-04-22 43 -1
2020-04-21 44 1
2020-04-20 43 0
2020-04-19 43 0
2020-04-18 43 0
2020-04-17 43 1
2020-04-16 42 1
2020-04-15 41 1
2020-04-14 40 2
2020-04-13 38 0
2020-04-12 38 1
2020-04-11 37 0
2020-04-10 37 1
2020-04-09 36 0
2020-04-08 36 2
2020-04-07 34 6
2020-04-06 28 0
2020-04-05 28 0
2020-04-04 28 0
2020-04-03 28 1
2020-04-02 27 2
2020-04-01 25 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)

In [7]:
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.
In [8]:
# to force a fresh download of data, run "clear_cache()"
In [9]:
print(f"Notebook execution took: {datetime.datetime.now()-start}")
Notebook execution took: 0:00:10.806162