Germany: SK Schwabach (Bayern)¶

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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 11:51:05 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="SK Schwabach", weeks=5);
2023-03-07T11:51:19.167876 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 125 125 150 150 175 175 200 200 7-day incidence rate (per 100K people) 145.8 SK Schwabach, Germany, last 5 weeks, last data point from 2023-03-06 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 20 40 60 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.0 0.5 1.0 1.5 2.0 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Germany-SK Schwabach cases daily growth factor Germany-SK Schwabach cases daily growth factor (rolling mean) Germany-SK Schwabach estimated R (using cases) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) Germany-SK Schwabach deaths daily growth factor Germany-SK Schwabach deaths daily growth factor (rolling mean) Germany-SK Schwabach estimated R (using deaths) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 1000 2000 3000 cases doubling time [days] Germany-SK Schwabach doubling time cases (rolling mean) 0.00 8.23 16.46 24.69 daily change Germany-SK Schwabach new cases (rolling 7d mean) Germany-SK Schwabach new cases 0.000 0.206 0.411 0.617 0.823 daily change Germany-SK Schwabach new deaths (rolling 7d mean) Germany-SK Schwabach new deaths 0.000 0.305 0.610 0.915
In [4]:
overview(country="Germany", subregion="SK Schwabach");
2023-03-07T11:51:40.715827 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 1000 1000 2000 2000 7-day incidence rate (per 100K people) 145.8 SK Schwabach, Germany, last data point from 2023-03-06 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 200 400 600 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 10 20 30 40 daily change normalised per 100K 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 R & growth factor (based on cases) Germany-SK Schwabach cases daily growth factor Germany-SK Schwabach cases daily growth factor (rolling mean) Germany-SK Schwabach estimated R (using cases) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) Germany-SK Schwabach deaths daily growth factor Germany-SK Schwabach deaths daily growth factor (rolling mean) Germany-SK Schwabach estimated R (using deaths) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 1000 2000 3000 4000 cases doubling time [days] Germany-SK Schwabach doubling time cases (rolling mean) Germany-SK Schwabach doubling time deaths (rolling mean) 0.0 82.3 164.6 246.9 daily change Germany-SK Schwabach new cases (rolling 7d mean) Germany-SK Schwabach new cases 0.00 4.11 8.23 12.34 16.46 daily change Germany-SK Schwabach new deaths (rolling 7d mean) Germany-SK Schwabach new deaths 0.0 22.2 44.5 66.7 89.0 deaths doubling time [days]
In [5]:
compare_plot(country="Germany", subregion="SK Schwabach", dates="2020-03-15:");
2023-03-07T11:53:55.955929 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 0.1 0.1 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: SK Schwabach SK Schwabach 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 0.001 0.001 0.01 0.01 0.1 0.1 1 1 10 10 daily new deaths (rolling 7-day mean) normalised by 100K people SK Schwabach Bayern Berlin Bremen Hamburg Hessen Nordrhein-Westfalen Sachsen-Anhalt
In [6]:
# load the data
cases, deaths = germany_get_region(landkreis="SK Schwabach")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="SK Schwabach")
print(f'Population of country="Germany", subregion="SK Schwabach": {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="SK Schwabach": 41146 people
Out[6]:
total cases daily new cases total deaths daily new deaths
date
2023-03-06 21334 10 149 1
2023-03-03 21324 8 148 0
2023-03-02 21316 12 148 0
2023-03-01 21304 18 148 0
2023-02-28 21286 12 148 0
2023-02-27 21274 30 148 0
2023-02-24 21244 12 148 0
2023-02-23 21232 8 148 0
2023-02-22 21224 9 148 0
2023-02-21 21215 31 148 0
2023-02-20 21184 9 148 0
2023-02-19 21175 1 148 0
2023-02-17 21174 9 148 0
2023-02-16 21165 10 148 0
2023-02-15 21155 15 148 1
2023-02-14 21140 18 147 0
2023-02-13 21122 14 147 0
2023-02-10 21108 11 147 0
2023-02-09 21097 15 147 0
2023-02-08 21082 7 147 0
2023-02-07 21075 11 147 0
2023-02-06 21064 17 147 0
2023-02-03 21047 5 147 0
2023-02-02 21042 7 147 0
2023-02-01 21035 13 147 0
2023-01-31 21022 19 147 0
2023-01-30 21003 17 147 0
2023-01-27 20986 5 147 0
2023-01-26 20981 8 147 0
2023-01-25 20973 13 147 0
2023-01-24 20960 7 147 0
2023-01-23 20953 8 147 0
2023-01-20 20945 6 147 0
2023-01-19 20939 6 147 0
2023-01-18 20933 4 147 0
2023-01-17 20929 10 147 0
2023-01-16 20919 10 147 0
2023-01-13 20909 4 147 0
2023-01-12 20905 4 147 0
2023-01-11 20901 7 147 1
2023-01-10 20894 20 146 0
2023-01-09 20874 12 146 0
2023-01-05 20862 7 146 0
2023-01-04 20855 7 146 0
2023-01-03 20848 11 146 0
2023-01-02 20837 17 146 0
2022-12-30 20820 18 146 1
2022-12-29 20802 16 145 1
2022-12-28 20786 12 144 0
2022-12-27 20774 23 144 0
2022-12-23 20751 10 144 0
2022-12-22 20741 11 144 1
2022-12-21 20730 13 143 1
2022-12-20 20717 17 142 0
2022-12-19 20700 17 142 0
2022-12-16 20683 8 142 0
2022-12-15 20675 17 142 0
2022-12-14 20658 12 142 0
2022-12-13 20646 12 142 0
2022-12-12 20634 22 142 0
2022-12-09 20612 9 142 0
2022-12-08 20603 7 142 0
2022-12-07 20596 8 142 0
2022-12-06 20588 28 142 0
2022-12-05 20560 14 142 0
2022-12-02 20546 11 142 0
2022-12-01 20535 17 142 0
2022-11-30 20518 21 142 0
2022-11-29 20497 17 142 0
2022-11-28 20480 15 142 0
2022-11-25 20465 10 142 0
2022-11-24 20455 15 142 0
2022-11-23 20440 16 142 0
2022-11-22 20424 14 142 0
2022-11-21 20410 23 142 0
2022-11-18 20387 9 142 0
2022-11-17 20378 13 142 0
2022-11-16 20365 15 142 0
2022-11-15 20350 20 142 0
2022-11-14 20330 21 142 0
2022-11-11 20309 9 142 0
2022-11-10 20300 14 142 0
2022-11-09 20286 19 142 0
2022-11-08 20267 25 142 0
2022-11-07 20242 11 142 0
2022-11-04 20231 13 142 0
2022-11-03 20218 18 142 0
2022-11-02 20200 29 142 0
2022-10-31 20171 43 142 0
2022-10-28 20128 30 142 1
2022-10-27 20098 23 141 0
2022-10-26 20075 43 141 0
2022-10-25 20032 58 141 0
2022-10-24 19974 76 141 0
2022-10-22 19898 1 141 0
2022-10-21 19897 38 141 0
2022-10-20 19859 46 141 0
2022-10-19 19813 66 141 0
2022-10-18 19747 86 141 1
2022-10-17 19661 92 140 0
2022-10-16 19569 1 140 0
2022-10-14 19568 40 140 0
2022-10-13 19528 83 140 0
2022-10-12 19445 58 140 0
2022-10-11 19387 87 140 0
2022-10-10 19300 95 140 0
2022-10-07 19205 76 140 0
2022-10-06 19129 86 140 0
2022-10-05 19043 119 140 0
2022-10-04 18924 128 140 0
2022-09-30 18796 73 140 0
2022-09-29 18723 25 140 0
2022-09-28 18698 54 140 0
2022-09-27 18644 82 140 0
2022-09-26 18562 55 140 0
2022-09-23 18507 33 140 0
2022-09-22 18474 33 140 0
2022-09-21 18441 11 140 0
2022-09-20 18430 33 140 0
2022-09-19 18397 32 140 0
2022-09-16 18365 19 140 0
2022-09-15 18346 17 140 0
2022-09-14 18329 13 140 0
2022-09-13 18316 13 140 0
2022-09-12 18303 16 140 0
2022-09-09 18287 12 140 0
2022-09-08 18275 10 140 0
2022-09-07 18265 19 140 0
2022-09-06 18246 24 140 0
2022-09-05 18222 25 140 0
2022-09-02 18197 16 140 0
2022-09-01 18181 10 140 0
2022-08-31 18171 13 140 0
2022-08-30 18158 23 140 0
2022-08-29 18135 23 140 0
2022-08-26 18112 10 140 0
2022-08-25 18102 7 140 0
2022-08-24 18095 12 140 0
2022-08-23 18083 25 140 0
2022-08-22 18058 23 140 0
2022-08-19 18035 20 140 0
2022-08-18 18015 19 140 0
2022-08-17 17996 21 140 0
2022-08-16 17975 35 140 0
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2022-08-14 17907 1 140 0
2022-08-13 17906 2 140 0
2022-08-12 17904 14 140 0
2022-08-11 17890 28 140 0
2022-08-10 17862 19 140 1
2022-08-09 17843 53 139 0
2022-08-08 17790 53 139 0
2022-08-05 17737 30 139 0
2022-08-04 17707 30 139 0
2022-08-03 17677 127 139 0
2022-08-02 17550 67 139 1
2022-08-01 17483 61 138 0
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2022-05-22 14564 7 138 0
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2022-05-16 14439 29 138 0
2022-05-15 14410 11 138 0
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2022-04-30 13936 27 138 0
2022-04-29 13909 45 138 1
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2022-04-26 13762 80 137 0
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2021-05-31 2140 4 105 0
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2021-05-28 2134 4 105 0
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2021-05-25 2127 1 105 0
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2021-05-20 2125 3 104 0
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2021-05-16 2113 6 104 0
2021-05-15 2107 3 104 0
2021-05-13 2104 2 104 0
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2021-05-11 2098 7 104 0
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2021-05-05 2074 7 104 0
2021-05-04 2067 3 104 0
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2021-04-27 2039 10 104 0
2021-04-26 2029 4 104 0
2021-04-25 2025 5 104 0
2021-04-24 2020 5 104 0
2021-04-23 2015 7 104 0
2021-04-22 2008 14 104 0
2021-04-21 1994 13 104 0
2021-04-20 1981 11 104 0
2021-04-19 1970 9 104 1
2021-04-18 1961 5 103 0
2021-04-17 1956 9 103 0
2021-04-16 1947 13 103 0
2021-04-15 1934 10 103 0
2021-04-14 1924 9 103 0
2021-04-13 1915 19 103 0
2021-04-12 1896 3 103 0
2021-04-11 1893 12 103 0
2021-04-10 1881 8 103 0
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2021-04-06 1844 11 103 0
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2021-04-03 1824 7 103 0
2021-04-02 1817 7 103 1
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2021-03-30 1780 9 102 0
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2021-03-28 1765 3 102 0
2021-03-27 1762 6 102 0
2021-03-26 1756 8 102 0
2021-03-25 1748 14 102 0
2021-03-24 1734 8 102 0
2021-03-23 1726 9 102 1
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2021-03-15 1678 1 101 0
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2021-03-06 1639 4 101 0
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2021-03-04 1631 3 101 0
2021-03-03 1628 2 101 0
2021-03-02 1626 12 101 0
2021-03-01 1614 1 101 0
2021-02-28 1613 1 101 0
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2021-02-18 1576 5 101 1
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2021-02-14 1560 3 100 0
2021-02-13 1557 2 100 0
2021-02-12 1555 7 100 0
2021-02-11 1548 3 100 0
2021-02-10 1545 3 100 0
2021-02-09 1542 5 100 0
2021-02-07 1537 5 100 1
2021-02-06 1532 4 99 0
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2021-02-04 1523 1 99 0
2021-02-03 1522 2 99 0
2021-02-02 1520 5 99 0
2021-02-01 1515 3 99 0
2021-01-31 1512 1 99 0
2021-01-30 1511 7 99 0
2021-01-29 1504 4 99 0
2021-01-28 1500 5 99 1
2021-01-27 1495 6 98 1
2021-01-26 1489 6 97 1
2021-01-24 1483 7 96 0
2021-01-23 1476 2 96 0
2021-01-22 1474 6 96 1
2021-01-21 1468 5 95 0
2021-01-20 1463 11 95 0
2021-01-19 1452 7 95 0
2021-01-18 1445 4 95 0
2021-01-17 1441 4 95 0
2021-01-16 1437 6 95 0
2021-01-15 1431 11 95 0
2021-01-14 1420 5 95 0
2021-01-13 1415 20 95 1
2021-01-12 1395 23 94 2
2021-01-11 1372 12 92 0
2021-01-10 1360 9 92 0
2021-01-09 1351 10 92 1
2021-01-08 1341 22 91 0
2021-01-07 1319 10 91 1
2021-01-06 1309 14 90 2
2021-01-05 1295 17 88 0
2021-01-04 1278 10 88 0
2021-01-03 1268 16 88 2
2021-01-02 1252 17 86 2
2021-01-01 1235 12 84 2
2020-12-31 1223 9 82 1
2020-12-30 1214 10 81 1
2020-12-29 1204 12 80 1
2020-12-28 1192 10 79 0
2020-12-27 1182 24 79 1
2020-12-26 1158 3 78 0
2020-12-25 1155 20 78 7
2020-12-24 1135 19 71 0
2020-12-23 1116 27 71 12
2020-12-22 1089 24 59 3
2020-12-21 1065 19 56 1
2020-12-20 1046 22 55 3
2020-12-19 1024 10 52 0
2020-12-18 1014 22 52 0
2020-12-17 992 25 52 1
2020-12-16 967 49 51 5
2020-12-15 918 31 46 0
2020-12-14 887 21 46 2
2020-12-13 866 27 44 5
2020-12-12 839 19 39 4
2020-12-11 820 13 35 0
2020-12-10 807 29 35 0
2020-12-09 778 34 35 0
2020-12-08 744 18 35 1
2020-12-07 726 19 34 0
2020-12-06 707 14 34 0
2020-12-05 693 13 34 0
2020-12-04 680 16 34 0
2020-12-03 664 16 34 0
2020-12-02 648 16 34 0
2020-12-01 632 25 34 1
2020-11-30 607 22 33 1
2020-11-29 585 7 32 0
2020-11-28 578 5 32 0
2020-11-27 573 17 32 2
2020-11-26 556 72 30 18
2020-11-25 484 18 12 2
2020-11-24 466 10 10 0
2020-11-23 456 8 10 0
2020-11-22 448 7 10 0
2020-11-21 441 3 10 0
2020-11-20 438 7 10 1
2020-11-19 431 13 9 0
2020-11-18 418 9 9 1
2020-11-17 409 23 8 2
2020-11-16 386 3 6 0
2020-11-15 383 4 6 0
2020-11-14 379 9 6 0
2020-11-13 370 13 6 0
2020-11-12 357 10 6 0
2020-11-11 347 13 6 0
2020-11-10 334 20 6 2
2020-11-09 314 17 4 0
2020-11-08 297 4 4 0
2020-11-07 293 6 4 1
2020-11-06 287 18 3 0
2020-11-05 269 11 3 0
2020-11-04 258 7 3 0
2020-11-03 251 5 3 0
2020-11-02 246 13 3 1
2020-11-01 233 2 2 0
2020-10-31 231 14 2 0
2020-10-30 217 4 2 0
2020-10-29 213 13 2 0
2020-10-28 200 8 2 0
2020-10-27 192 9 2 0
2020-10-26 183 6 2 0
2020-10-25 177 3 2 0
2020-10-24 174 4 2 0
2020-10-23 170 2 2 0
2020-10-22 168 2 2 0
2020-10-21 166 3 2 0
2020-10-20 163 2 2 0
2020-10-19 161 5 2 0
2020-10-18 156 3 2 0
2020-10-16 153 3 2 0
2020-10-15 150 4 2 0
2020-10-14 146 4 2 0
2020-10-13 142 2 2 0
2020-10-12 140 4 2 0
2020-10-11 136 2 2 0
2020-10-10 134 3 2 0
2020-10-08 131 1 2 0
2020-10-06 130 5 2 0
2020-10-02 125 1 2 0
2020-10-01 124 1 2 0
2020-09-30 123 1 2 0
2020-09-27 122 1 2 0
2020-09-26 121 1 2 0
2020-09-25 120 1 2 0
2020-09-24 119 1 2 0
2020-09-21 118 1 2 0
2020-09-18 117 3 2 0
2020-09-17 114 1 2 0
2020-09-09 113 2 2 0
2020-09-08 111 3 2 0
2020-09-07 108 1 2 0
2020-09-06 107 2 2 0
2020-09-03 105 1 2 0
2020-09-01 104 3 2 0
2020-08-28 101 4 2 0
2020-08-27 97 1 2 0
2020-08-24 96 1 2 0
2020-08-23 95 1 2 0
2020-08-16 94 1 2 0
2020-08-02 93 1 2 0
2020-07-30 92 2 2 0
2020-07-29 90 1 2 0
2020-07-27 89 1 2 0
2020-07-23 88 1 2 0
2020-07-11 87 3 2 0
2020-07-09 84 2 2 0
2020-07-04 82 1 2 0
2020-06-22 81 1 2 0
2020-05-31 80 1 2 0
2020-05-05 79 1 2 0
2020-04-30 78 1 2 0
2020-04-28 77 2 2 0
2020-04-22 75 1 2 0
2020-04-21 74 1 2 0
2020-04-19 73 1 2 0
2020-04-17 72 1 2 0
2020-04-16 71 1 2 0
2020-04-15 70 1 2 0
2020-04-12 69 2 2 0
2020-04-11 67 2 2 1
2020-04-09 65 1 1 0
2020-04-08 64 4 1 0
2020-04-07 60 3 1 0
2020-04-06 57 2 1 0
2020-04-05 55 1 1 0
2020-04-04 54 5 1 1
2020-04-03 49 2 0 0
2020-04-02 47 2 0 0
2020-04-01 45 1 0 0
2020-03-31 44 1 0 0
2020-03-30 43 2 0 0
2020-03-29 41 10 0 0
2020-03-28 31 7 0 0
2020-03-27 24 3 0 0
2020-03-26 21 1 0 0
2020-03-25 20 4 0 0
2020-03-24 16 3 0 0
2020-03-23 13 1 0 0
2020-03-20 12 1 0 0
2020-03-19 11 4 0 0
2020-03-18 7 1 0 0
2020-03-17 6 2 0 0
2020-03-15 4 1 0 0
2020-03-12 3 2 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: 0:03:03.877270