Germany: LK Prignitz (Brandenburg)¶

  • 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 12:13:05 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Prignitz", weeks=5);
2023-03-07T12:13:20.071740 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 60 60 80 80 100 100 120 120 140 140 7-day incidence rate (per 100K people) 80.7 LK Prignitz, Germany, last 5 weeks, last data point from 2023-03-06 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 10 20 30 40 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar −0.050 −0.050 −0.025 −0.025 0.000 0.000 0.025 0.025 0.050 0.050 daily change Germany-LK Prignitz new deaths (rolling 7d mean) Germany-LK Prignitz new deaths 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.75 0.75 1.00 1.00 1.25 1.25 1.50 1.50 R & growth factor (based on cases) Germany-LK Prignitz cases daily growth factor Germany-LK Prignitz cases daily growth factor (rolling mean) Germany-LK Prignitz estimated R (using cases) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.8 0.8 0.9 0.9 1.0 1.0 1.1 1.1 1.2 1.2 R & growth factor (based on deaths) Germany-LK Prignitz deaths daily growth factor Germany-LK Prignitz deaths daily growth factor (rolling mean) Germany-LK Prignitz estimated R (using deaths) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 2000 4000 6000 cases doubling time [days] Germany-LK Prignitz doubling time cases (rolling mean) 0.00 7.56 15.11 22.67 30.23 daily change Germany-LK Prignitz new cases (rolling 7d mean) Germany-LK Prignitz new cases 0.000 0.304 0.608 0.912
In [4]:
overview(country="Germany", subregion="LK Prignitz");
2023-03-07T12:13:38.067623 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 0 1000 1000 2000 2000 7-day incidence rate (per 100K people) 80.7 LK Prignitz, Germany, last data point from 2023-03-06 Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 200 400 600 800 daily change normalised per 100K Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 5 10 15 daily change normalised per 100K Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.75 0.75 1.00 1.00 1.25 1.25 1.50 1.50 R & growth factor (based on cases) Germany-LK Prignitz cases daily growth factor Germany-LK Prignitz cases daily growth factor (rolling mean) Germany-LK Prignitz estimated R (using cases) Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.8 0.8 0.9 0.9 1.0 1.0 1.1 1.1 1.2 1.2 R & growth factor (based on deaths) Germany-LK Prignitz deaths daily growth factor Germany-LK Prignitz deaths daily growth factor (rolling mean) Germany-LK Prignitz estimated R (using deaths) Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 5000 10000 cases doubling time [days] Germany-LK Prignitz doubling time cases (rolling mean) Germany-LK Prignitz doubling time deaths (rolling mean) 0.0 151.1 302.3 453.4 604.6 daily change Germany-LK Prignitz new cases (rolling 7d mean) Germany-LK Prignitz new cases 0.00 3.78 7.56 11.34 daily change Germany-LK Prignitz new deaths (rolling 7d mean) Germany-LK Prignitz new deaths 0.0 64.4 128.8 deaths doubling time [days]
In [5]:
compare_plot(country="Germany", subregion="LK Prignitz", dates="2020-03-15:");
2023-03-07T12:16:25.044240 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 2020-05 2020-09 2021-01 2021-05 2021-09 2022-01 2022-05 2022-09 2023-01 1 1 10 10 100 100 daily new cases (rolling 7-day mean) normalised by 100K people Daily cases (top) and deaths (below) for Germany: LK Prignitz LK Prignitz Bayern Berlin Bremen Hamburg Hessen Nordrhein-Westfalen Sachsen-Anhalt 2020-05 2020-09 2021-01 2021-05 2021-09 2022-01 2022-05 2022-09 2023-01 0.01 0.01 0.1 0.1 1 1 daily new deaths (rolling 7-day mean) normalised by 100K people LK Prignitz Bayern Berlin Bremen Hamburg Hessen Nordrhein-Westfalen Sachsen-Anhalt
In [6]:
# load the data
cases, deaths = germany_get_region(landkreis="LK Prignitz")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Prignitz")
print(f'Population of country="Germany", subregion="LK Prignitz": {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 Prignitz": 75574 people
Out[6]:
total cases daily new cases total deaths daily new deaths
date
2023-03-06 36370 12 265 0
2023-03-03 36358 4 265 0
2023-03-02 36354 9 265 0
2023-03-01 36345 16 265 0
2023-02-28 36329 20 265 0
2023-02-27 36309 19 265 0
2023-02-24 36290 11 265 0
2023-02-23 36279 16 265 0
2023-02-22 36263 16 265 0
2023-02-21 36247 23 265 0
2023-02-20 36224 14 265 0
2023-02-17 36210 9 265 0
2023-02-16 36201 17 265 0
2023-02-15 36184 37 265 0
2023-02-14 36147 24 265 0
2023-02-13 36123 14 265 0
2023-02-10 36109 12 265 0
2023-02-09 36097 11 265 0
2023-02-08 36086 11 265 0
2023-02-07 36075 16 265 0
2023-02-06 36059 8 265 0
2023-02-03 36051 7 265 0
2023-02-02 36044 6 265 0
2023-02-01 36038 5 265 0
2023-01-31 36033 13 265 0
2023-01-30 36020 8 265 0
2023-01-27 36012 15 265 0
2023-01-26 35997 12 265 0
2023-01-25 35985 8 265 0
2023-01-24 35977 10 265 0
2023-01-23 35967 1 265 0
2023-01-20 35966 3 265 0
2023-01-19 35963 1 265 0
2023-01-18 35962 3 265 0
2023-01-17 35959 16 265 0
2023-01-16 35943 15 265 0
2023-01-13 35928 6 265 0
2023-01-12 35922 6 265 0
2023-01-11 35916 9 265 1
2023-01-10 35907 26 264 2
2023-01-09 35881 22 262 0
2023-01-06 35859 11 262 0
2023-01-05 35848 17 262 0
2023-01-04 35831 23 262 0
2023-01-03 35808 39 262 0
2023-01-02 35769 15 262 1
2022-12-30 35754 29 261 1
2022-12-29 35725 29 260 0
2022-12-28 35696 76 260 1
2022-12-27 35620 34 259 0
2022-12-23 35586 27 259 0
2022-12-22 35559 52 259 0
2022-12-21 35507 48 259 0
2022-12-20 35459 84 259 0
2022-12-19 35375 33 259 1
2022-12-16 35342 41 258 0
2022-12-15 35301 57 258 0
2022-12-14 35244 62 258 0
2022-12-13 35182 121 258 1
2022-12-12 35061 61 257 0
2022-12-09 35000 52 257 0
2022-12-08 34948 84 257 2
2022-12-07 34864 103 255 0
2022-12-06 34761 123 255 0
2022-12-05 34638 48 255 0
2022-12-02 34590 58 255 1
2022-12-01 34532 53 254 0
2022-11-30 34479 69 254 0
2022-11-29 34410 110 254 0
2022-11-28 34300 46 254 1
2022-11-25 34254 31 253 0
2022-11-24 34223 26 253 0
2022-11-23 34197 43 253 0
2022-11-22 34154 85 253 0
2022-11-21 34069 35 253 0
2022-11-18 34034 32 253 0
2022-11-17 34002 31 253 0
2022-11-16 33971 41 253 0
2022-11-15 33930 70 253 0
2022-11-14 33860 29 253 0
2022-11-11 33831 42 253 0
2022-11-10 33789 30 253 0
2022-11-09 33759 36 253 0
2022-11-08 33723 75 253 1
2022-11-07 33648 40 252 0
2022-11-04 33608 30 252 0
2022-11-03 33578 50 252 0
2022-11-02 33528 119 252 0
2022-11-01 33409 64 252 0
2022-10-28 33345 56 252 0
2022-10-27 33289 66 252 0
2022-10-26 33223 99 252 0
2022-10-25 33124 131 252 1
2022-10-24 32993 104 251 1
2022-10-21 32889 101 250 0
2022-10-20 32788 107 250 0
2022-10-19 32681 120 250 0
2022-10-18 32561 200 250 0
2022-10-17 32361 104 250 0
2022-10-14 32257 93 250 1
2022-10-13 32164 104 249 0
2022-10-12 32060 180 249 0
2022-10-11 31880 223 249 2
2022-10-10 31657 98 247 0
2022-10-07 31559 109 247 0
2022-10-06 31450 200 247 0
2022-10-05 31250 158 247 1
2022-10-04 31092 70 246 3
2022-09-30 31022 52 243 0
2022-09-29 30970 74 243 0
2022-09-28 30896 75 243 0
2022-09-27 30821 89 243 0
2022-09-26 30732 49 243 0
2022-09-23 30683 37 243 0
2022-09-22 30646 39 243 0
2022-09-21 30607 51 243 0
2022-09-20 30556 91 243 0
2022-09-19 30465 31 243 0
2022-09-16 30434 34 243 0
2022-09-15 30400 38 243 0
2022-09-14 30362 42 243 0
2022-09-13 30320 80 243 0
2022-09-12 30240 31 243 0
2022-09-09 30209 26 243 1
2022-09-08 30183 20 242 1
2022-09-07 30163 46 241 0
2022-09-06 30117 70 241 1
2022-09-05 30047 31 240 0
2022-09-02 30016 38 240 0
2022-09-01 29978 26 240 0
2022-08-31 29952 29 240 0
2022-08-30 29923 72 240 0
2022-08-29 29851 46 240 0
2022-08-26 29805 41 240 0
2022-08-25 29764 39 240 0
2022-08-24 29725 43 240 0
2022-08-23 29682 81 240 0
2022-08-22 29601 52 240 0
2022-08-19 29549 39 240 0
2022-08-18 29510 40 240 0
2022-08-17 29470 36 240 0
2022-08-16 29434 110 240 0
2022-08-15 29324 42 240 0
2022-08-12 29282 33 240 0
2022-08-11 29249 53 240 0
2022-08-10 29196 66 240 0
2022-08-09 29130 86 240 0
2022-08-08 29044 35 240 0
2022-08-05 29009 38 240 0
2022-08-04 28971 44 240 0
2022-08-03 28927 49 240 0
2022-08-02 28878 109 240 0
2022-08-01 28769 57 240 0
2022-07-29 28712 45 240 0
2022-07-28 28667 62 240 0
2022-07-27 28605 53 240 0
2022-07-26 28552 133 240 0
2022-07-25 28419 87 240 0
2022-07-22 28332 75 240 0
2022-07-21 28257 77 240 0
2022-07-20 28180 115 240 0
2022-07-19 28065 136 240 0
2022-07-18 27929 76 240 0
2022-07-15 27853 69 240 0
2022-07-14 27784 87 240 0
2022-07-13 27697 78 240 0
2022-07-12 27619 136 240 0
2022-07-11 27483 49 240 0
2022-07-09 27434 1 240 0
2022-07-08 27433 55 240 0
2022-07-07 27378 53 240 0
2022-07-06 27325 51 240 0
2022-07-05 27274 89 240 0
2022-07-04 27185 48 240 0
2022-07-01 27137 42 240 0
2022-06-30 27095 55 240 0
2022-06-29 27040 85 240 0
2022-06-28 26955 129 240 0
2022-06-27 26826 69 240 0
2022-06-24 26757 53 240 0
2022-06-23 26704 54 240 0
2022-06-22 26650 63 240 0
2022-06-21 26587 107 240 0
2022-06-20 26480 40 240 0
2022-06-17 26440 26 240 0
2022-06-16 26414 26 240 0
2022-06-15 26388 25 240 0
2022-06-14 26363 56 240 0
2022-06-13 26307 38 240 0
2022-06-10 26269 27 240 0
2022-06-09 26242 22 240 0
2022-06-08 26220 62 240 0
2022-06-07 26158 12 240 0
2022-06-03 26146 15 240 0
2022-06-02 26131 26 240 0
2022-06-01 26105 16 240 0
2022-05-31 26089 47 240 0
2022-05-30 26042 33 240 0
2022-05-25 26009 15 240 0
2022-05-24 25994 34 240 0
2022-05-23 25960 17 240 0
2022-05-20 25943 20 240 0
2022-05-19 25923 16 240 0
2022-05-18 25907 21 240 0
2022-05-17 25886 60 240 0
2022-05-16 25826 27 240 0
2022-05-13 25799 40 240 0
2022-05-12 25759 33 240 0
2022-05-11 25726 46 240 0
2022-05-10 25680 112 240 0
2022-05-09 25568 38 240 0
2022-05-06 25530 34 240 1
2022-05-05 25496 37 239 1
2022-05-04 25459 54 238 0
2022-05-03 25405 107 238 1
2022-05-02 25298 54 237 0
2022-04-29 25244 60 237 0
2022-04-28 25184 47 237 0
2022-04-27 25137 74 237 0
2022-04-26 25063 184 237 0
2022-04-25 24879 83 237 0
2022-04-22 24796 105 237 0
2022-04-21 24691 196 237 1
2022-04-20 24495 174 236 0
2022-04-19 24321 192 236 0
2022-04-14 24129 103 236 1
2022-04-13 24026 68 235 1
2022-04-12 23958 232 234 0
2022-04-11 23726 130 234 0
2022-04-08 23596 82 234 0
2022-04-07 23514 118 234 0
2022-04-06 23396 133 234 0
2022-04-05 23263 290 234 0
2022-04-04 22973 140 234 0
2022-04-01 22833 122 234 0
2022-03-31 22711 157 234 0
2022-03-30 22554 225 234 0
2022-03-29 22329 347 234 0
2022-03-28 21982 187 234 1
2022-03-25 21795 175 233 0
2022-03-24 21620 228 233 3
2022-03-23 21392 257 230 0
2022-03-22 21135 440 230 1
2022-03-21 20695 247 229 0
2022-03-18 20448 231 229 0
2022-03-17 20217 282 229 0
2022-03-16 19935 313 229 1
2022-03-15 19622 500 228 2
2022-03-14 19122 244 226 0
2022-03-11 18878 317 226 0
2022-03-10 18561 191 226 0
2022-03-09 18370 243 226 0
2022-03-08 18127 414 226 0
2022-03-07 17713 231 226 0
2022-03-04 17482 234 226 0
2022-03-03 17248 250 226 0
2022-03-02 16998 267 226 0
2022-03-01 16731 492 226 0
2022-02-28 16239 241 226 0
2022-02-25 15998 301 226 1
2022-02-24 15697 338 225 1
2022-02-23 15359 357 224 0
2022-02-22 15002 627 224 0
2022-02-21 14375 52 224 0
2022-02-19 14323 273 224 1
2022-02-18 14050 354 223 1
2022-02-17 13696 288 222 0
2022-02-16 13408 360 222 0
2022-02-15 13048 429 222 0
2022-02-14 12619 72 222 0
2022-02-12 12547 213 222 0
2022-02-11 12334 273 222 0
2022-02-10 12061 387 222 0
2022-02-09 11674 421 222 0
2022-02-08 11253 514 222 1
2022-02-07 10739 43 221 0
2022-02-05 10696 230 221 0
2022-02-04 10466 238 221 1
2022-02-03 10228 270 220 0
2022-02-02 9958 336 220 0
2022-02-01 9622 276 220 0
2022-01-31 9346 26 220 1
2022-01-29 9320 147 219 0
2022-01-28 9173 168 219 0
2022-01-27 9005 213 219 0
2022-01-26 8792 258 219 0
2022-01-25 8534 303 219 1
2022-01-24 8231 17 218 0
2022-01-22 8214 96 218 1
2022-01-21 8118 111 217 0
2022-01-20 8007 101 217 0
2022-01-19 7906 105 217 2
2022-01-18 7801 198 215 3
2022-01-17 7603 8 212 1
2022-01-15 7595 47 211 2
2022-01-14 7548 81 209 0
2022-01-13 7467 56 209 0
2022-01-12 7411 73 209 2
2022-01-11 7338 117 207 0
2022-01-10 7221 9 207 1
2022-01-08 7212 45 206 0
2022-01-07 7167 37 206 0
2022-01-06 7130 81 206 0
2022-01-05 7049 121 206 2
2022-01-04 6928 152 204 0
2022-01-03 6776 9 204 3
2021-12-31 6767 45 201 0
2021-12-30 6722 85 201 2
2021-12-29 6637 102 199 4
2021-12-28 6535 124 195 1
2021-12-27 6411 7 194 1
2021-12-24 6404 20 193 0
2021-12-23 6384 62 193 0
2021-12-22 6322 96 193 4
2021-12-21 6226 127 189 2
2021-12-20 6099 12 187 0
2021-12-18 6087 86 187 0
2021-12-17 6001 66 187 1
2021-12-16 5935 86 186 2
2021-12-15 5849 133 184 0
2021-12-14 5716 179 184 2
2021-12-13 5537 17 182 0
2021-12-11 5520 70 182 1
2021-12-10 5450 67 181 2
2021-12-09 5383 67 179 0
2021-12-08 5316 94 179 1
2021-12-07 5222 138 178 2
2021-12-06 5084 10 176 0
2021-12-04 5074 65 176 4
2021-12-03 5009 61 172 1
2021-12-02 4948 80 171 0
2021-12-01 4868 84 171 0
2021-11-30 4784 108 171 0
2021-11-29 4676 8 171 0
2021-11-27 4668 51 171 0
2021-11-26 4617 40 171 2
2021-11-25 4577 68 169 0
2021-11-24 4509 61 169 1
2021-11-23 4448 75 168 0
2021-11-22 4373 1 168 0
2021-11-20 4372 51 168 0
2021-11-19 4321 64 168 1
2021-11-18 4257 45 167 0
2021-11-17 4212 52 167 0
2021-11-16 4160 108 167 0
2021-11-14 4052 1 167 0
2021-11-13 4051 33 167 0
2021-11-12 4018 47 167 0
2021-11-11 3971 31 167 0
2021-11-10 3940 36 167 0
2021-11-09 3904 66 167 0
2021-11-08 3838 4 167 1
2021-11-06 3834 14 166 0
2021-11-05 3820 21 166 0
2021-11-04 3799 18 166 1
2021-11-03 3781 20 165 0
2021-11-02 3761 46 165 0
2021-11-01 3715 5 165 0
2021-10-30 3710 16 165 0
2021-10-29 3694 9 165 0
2021-10-28 3685 3 165 0
2021-10-27 3682 4 165 0
2021-10-26 3678 16 165 0
2021-10-25 3662 4 165 0
2021-10-23 3658 10 165 0
2021-10-22 3648 11 165 0
2021-10-21 3637 4 165 0
2021-10-20 3633 9 165 0
2021-10-19 3624 17 165 0
2021-10-18 3607 1 165 0
2021-10-16 3606 7 165 0
2021-10-15 3599 10 165 0
2021-10-13 3589 17 165 0
2021-10-12 3572 11 165 0
2021-10-11 3561 3 165 0
2021-10-09 3558 14 165 0
2021-10-08 3544 18 165 0
2021-10-07 3526 8 165 0
2021-10-06 3518 34 165 0
2021-10-05 3484 18 165 0
2021-10-02 3466 5 165 0
2021-10-01 3461 3 165 0
2021-09-30 3458 5 165 0
2021-09-29 3453 6 165 0
2021-09-28 3447 13 165 0
2021-09-25 3434 4 165 0
2021-09-24 3430 7 165 0
2021-09-23 3423 1 165 0
2021-09-22 3422 5 165 0
2021-09-21 3417 6 165 0
2021-09-20 3411 1 165 0
2021-09-18 3410 4 165 0
2021-09-17 3406 6 165 1
2021-09-16 3400 1 164 0
2021-09-15 3399 4 164 0
2021-09-14 3395 9 164 0
2021-09-11 3386 5 164 0
2021-09-10 3381 10 164 0
2021-09-09 3371 3 164 0
2021-09-08 3368 4 164 0
2021-09-07 3364 9 164 0
2021-09-04 3355 1 164 0
2021-09-03 3354 13 164 0
2021-09-02 3341 4 164 0
2021-09-01 3337 9 164 0
2021-08-31 3328 17 164 0
2021-08-28 3311 4 164 0
2021-08-27 3307 4 164 0
2021-08-26 3303 7 164 0
2021-08-25 3296 1 164 0
2021-08-24 3295 3 164 0
2021-08-17 3292 4 164 0
2021-08-14 3288 1 164 0
2021-08-13 3287 1 164 0
2021-08-12 3286 3 164 0
2021-08-11 3283 2 164 0
2021-08-10 3281 8 164 0
2021-08-07 3273 4 164 0
2021-08-06 3269 2 164 0
2021-08-05 3267 13 164 0
2021-08-04 3254 1 164 0
2021-08-03 3253 6 164 0
2021-07-31 3247 1 164 0
2021-07-30 3246 2 164 0
2021-07-29 3244 1 164 0
2021-07-23 3243 1 164 0
2021-07-22 3242 1 164 0
2021-07-21 3241 1 164 0
2021-07-20 3240 1 164 0
2021-07-17 3239 1 164 0
2021-07-14 3238 1 164 0
2021-07-09 3237 1 164 0
2021-07-06 3236 2 164 0
2021-07-03 3234 1 164 0
2021-06-15 3233 1 164 0
2021-06-04 3232 2 164 0
2021-06-03 3230 1 164 0
2021-06-01 3229 4 164 0
2021-05-27 3225 3 164 0
2021-05-26 3222 2 164 0
2021-05-25 3220 3 164 0
2021-05-22 3217 1 164 0
2021-05-21 3216 8 164 0
2021-05-20 3208 2 164 0
2021-05-19 3206 11 164 0
2021-05-18 3195 9 164 0
2021-05-17 3186 1 164 0
2021-05-14 3185 2 164 0
2021-05-12 3183 11 164 0
2021-05-11 3172 17 164 0
2021-05-08 3155 2 164 0
2021-05-07 3153 5 164 0
2021-05-06 3148 15 164 0
2021-05-05 3133 14 164 0
2021-05-04 3119 36 164 0
2021-05-03 3083 1 164 0
2021-05-01 3082 2 164 0
2021-04-30 3080 13 164 0
2021-04-29 3067 9 164 0
2021-04-28 3058 27 164 0
2021-04-27 3031 18 164 0
2021-04-26 3013 3 164 1
2021-04-24 3010 12 163 0
2021-04-23 2998 10 163 1
2021-04-22 2988 12 162 0
2021-04-21 2976 23 162 0
2021-04-20 2953 21 162 0
2021-04-19 2932 5 162 0
2021-04-17 2927 3 162 0
2021-04-16 2924 27 162 1
2021-04-15 2897 17 161 1
2021-04-14 2880 26 160 2
2021-04-13 2854 24 158 1
2021-04-12 2830 1 157 0
2021-04-10 2829 21 157 1
2021-04-09 2808 15 156 0
2021-04-08 2793 23 156 1
2021-04-07 2770 42 155 0
2021-04-06 2728 3 155 0
2021-04-05 2725 2 155 0
2021-04-04 2723 1 155 0
2021-04-03 2722 1 155 1
2021-04-02 2721 10 154 0
2021-04-01 2711 17 154 1
2021-03-31 2694 25 153 1
2021-03-30 2669 33 152 0
2021-03-29 2636 4 152 0
2021-03-28 2632 2 152 1
2021-03-27 2630 3 151 0
2021-03-26 2627 25 151 3
2021-03-25 2602 14 148 0
2021-03-24 2588 16 148 0
2021-03-23 2572 28 148 2
2021-03-22 2544 4 146 0
2021-03-21 2540 1 146 0
2021-03-20 2539 11 146 0
2021-03-19 2528 9 146 0
2021-03-18 2519 8 146 1
2021-03-17 2511 9 145 0
2021-03-16 2502 11 145 0
2021-03-15 2491 1 145 1
2021-03-13 2490 1 144 0
2021-03-12 2489 20 144 2
2021-03-11 2469 16 142 2
2021-03-10 2453 13 140 0
2021-03-09 2440 10 140 1
2021-03-08 2430 1 139 0
2021-03-06 2429 10 139 1
2021-03-05 2419 5 138 0
2021-03-04 2414 8 138 0
2021-03-03 2406 3 138 0
2021-03-02 2403 6 138 0
2021-03-01 2397 2 138 0
2021-02-26 2395 16 138 1
2021-02-25 2379 7 137 0
2021-02-24 2372 8 137 0
2021-02-23 2364 16 137 0
2021-02-22 2348 3 137 0
2021-02-20 2345 15 137 1
2021-02-19 2330 12 136 0
2021-02-18 2318 16 136 3
2021-02-17 2302 11 133 1
2021-02-16 2291 36 132 2
2021-02-15 2255 2 130 0
2021-02-13 2253 30 130 2
2021-02-12 2223 24 128 1
2021-02-11 2199 11 127 0
2021-02-10 2188 64 127 5
2021-02-09 2124 17 122 0
2021-02-08 2107 7 122 1
2021-02-06 2100 4 121 0
2021-02-05 2096 21 121 1
2021-02-04 2075 14 120 0
2021-02-03 2061 48 120 4
2021-02-02 2013 25 116 0
2021-02-01 1988 11 116 1
2021-01-31 1977 1 115 0
2021-01-29 1976 29 115 1
2021-01-28 1947 37 114 4
2021-01-27 1910 33 110 5
2021-01-26 1877 73 105 4
2021-01-25 1804 1 101 0
2021-01-24 1803 2 101 1
2021-01-23 1801 18 100 1
2021-01-22 1783 20 99 2
2021-01-21 1763 35 97 1
2021-01-20 1728 47 96 1
2021-01-19 1681 12 95 1
2021-01-18 1669 25 94 1
2021-01-17 1644 2 93 0
2021-01-16 1642 5 93 0
2021-01-15 1637 42 93 2
2021-01-14 1595 31 91 0
2021-01-13 1564 67 91 4
2021-01-12 1497 51 87 5
2021-01-11 1446 22 82 1
2021-01-10 1424 2 81 1
2021-01-09 1422 4 80 1
2021-01-08 1418 28 79 3
2021-01-07 1390 61 76 2
2021-01-06 1329 67 74 2
2021-01-05 1262 73 72 2
2021-01-04 1189 66 70 12
2021-01-02 1123 8 58 2
2020-12-31 1115 47 56 1
2020-12-30 1068 52 55 3
2020-12-29 1016 61 52 2
2020-12-28 955 4 50 1
2020-12-26 951 5 49 1
2020-12-25 946 2 48 0
2020-12-24 944 31 48 1
2020-12-23 913 39 47 3
2020-12-22 874 44 44 1
2020-12-21 830 14 43 1
2020-12-20 816 2 42 0
2020-12-19 814 12 42 0
2020-12-18 802 41 42 3
2020-12-17 761 100 39 9
2020-12-16 661 82 30 10
2020-12-15 579 29 20 2
2020-12-14 550 4 18 0
2020-12-12 546 14 18 1
2020-12-11 532 33 17 3
2020-12-10 499 40 14 2
2020-12-09 459 27 12 0
2020-12-08 432 14 12 1
2020-12-07 418 8 11 2
2020-12-06 410 1 9 0
2020-12-05 409 9 9 1
2020-12-04 400 12 8 0
2020-12-03 388 20 8 0
2020-12-02 368 24 8 0
2020-12-01 344 16 8 1
2020-11-30 328 5 7 0
2020-11-29 323 1 7 0
2020-11-27 322 11 7 1
2020-11-26 311 3 6 0
2020-11-25 308 9 6 1
2020-11-24 299 3 5 0
2020-11-23 296 1 5 0
2020-11-21 295 3 5 0
2020-11-20 292 10 5 0
2020-11-19 282 3 5 0
2020-11-18 279 12 5 0
2020-11-17 267 5 5 0
2020-11-16 262 1 5 0
2020-11-13 261 6 5 0
2020-11-12 255 6 5 0
2020-11-11 249 7 5 0
2020-11-10 242 3 5 0
2020-11-09 239 2 5 1
2020-11-07 237 4 4 0
2020-11-06 233 17 4 0
2020-11-05 216 6 4 0
2020-11-04 210 14 4 0
2020-11-03 196 7 4 0
2020-11-02 189 3 4 0
2020-11-01 186 1 4 0
2020-10-31 185 11 4 0
2020-10-30 174 6 4 0
2020-10-29 168 3 4 0
2020-10-28 165 18 4 1
2020-10-27 147 6 3 0
2020-10-26 141 2 3 0
2020-10-25 139 1 3 0
2020-10-24 138 3 3 0
2020-10-23 135 9 3 1
2020-10-22 126 10 2 0
2020-10-21 116 13 2 2
2020-10-20 103 10 0 0
2020-10-18 93 2 0 0
2020-10-17 91 7 0 0
2020-10-16 84 3 0 0
2020-10-15 81 3 0 0
2020-10-14 78 14 0 0
2020-10-09 64 9 0 0
2020-10-08 55 3 0 0
2020-10-06 52 1 0 0
2020-10-05 51 1 0 0
2020-09-24 50 1 0 0
2020-09-23 49 1 0 0
2020-09-22 48 1 0 0
2020-08-26 47 1 0 0
2020-08-20 46 7 0 0
2020-08-18 39 5 0 0
2020-08-15 34 1 0 0
2020-08-01 33 1 0 0
2020-06-19 32 3 0 0
2020-06-15 29 2 0 0
2020-06-06 27 1 0 0
2020-05-12 26 1 0 0
2020-05-02 25 1 0 0
2020-04-14 24 3 0 0
2020-04-09 21 2 0 0
2020-04-08 19 1 0 0
2020-04-07 18 1 0 0
2020-04-06 17 2 0 0
2020-04-04 15 2 0 0
2020-04-03 13 3 0 0
2020-03-26 10 3 0 0
2020-03-25 7 1 0 0
2020-03-24 6 4 0 0
2020-03-17 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)
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: 0:03:36.253552