Germany: LK Südwestpfalz (Rheinland-Pfalz)¶

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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 14:56:24 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Südwestpfalz", weeks=5);
2023-03-07T14:56:38.350197 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 100 100 125 125 150 150 175 175 7-day incidence rate (per 100K people) 133.9 LK Südwestpfalz, 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 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.00 0.25 0.50 0.75 1.00 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-LK Südwestpfalz cases daily growth factor Germany-LK Südwestpfalz cases daily growth factor (rolling mean) Germany-LK Südwestpfalz 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-LK Südwestpfalz deaths daily growth factor Germany-LK Südwestpfalz deaths daily growth factor (rolling mean) Germany-LK Südwestpfalz estimated R (using deaths) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 1000 2000 cases doubling time [days] Germany-LK Südwestpfalz doubling time cases (rolling mean) 0.00 18.96 37.93 daily change Germany-LK Südwestpfalz new cases (rolling 7d mean) Germany-LK Südwestpfalz new cases 0.000 0.237 0.474 0.711 0.948 daily change Germany-LK Südwestpfalz new deaths (rolling 7d mean) Germany-LK Südwestpfalz new deaths 0.000 0.345 0.689
In [4]:
overview(country="Germany", subregion="LK Südwestpfalz");
2023-03-07T14:56:57.593933 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 0 500 500 1000 1000 1500 1500 2000 2000 7-day incidence rate (per 100K people) 133.9 LK Südwestpfalz, 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 0 100 200 300 400 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 2 4 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-LK Südwestpfalz cases daily growth factor Germany-LK Südwestpfalz cases daily growth factor (rolling mean) Germany-LK Südwestpfalz 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-LK Südwestpfalz deaths daily growth factor Germany-LK Südwestpfalz deaths daily growth factor (rolling mean) Germany-LK Südwestpfalz 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-LK Südwestpfalz doubling time cases (rolling mean) Germany-LK Südwestpfalz doubling time deaths (rolling mean) 0.0 94.8 189.6 284.5 379.3 daily change Germany-LK Südwestpfalz new cases (rolling 7d mean) Germany-LK Südwestpfalz new cases 0.000 1.896 3.793 daily change Germany-LK Südwestpfalz new deaths (rolling 7d mean) Germany-LK Südwestpfalz new deaths 0.0 28.5 57.1 85.6 114.1 deaths doubling time [days]
In [5]:
compare_plot(country="Germany", subregion="LK Südwestpfalz", dates="2020-03-15:");
2023-03-07T14:59:32.030900 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: LK Südwestpfalz LK Südwestpfalz 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 daily new deaths (rolling 7-day mean) normalised by 100K people LK Südwestpfalz Bayern Berlin Bremen Hamburg Hessen Nordrhein-Westfalen Sachsen-Anhalt
In [6]:
# load the data
cases, deaths = germany_get_region(landkreis="LK Südwestpfalz")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Südwestpfalz")
print(f'Population of country="Germany", subregion="LK Südwestpfalz": {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 Südwestpfalz": 94819 people
Out[6]:
total cases daily new cases total deaths daily new deaths
date
2023-03-06 40500 15 173 0
2023-03-03 40485 10 173 0
2023-03-02 40475 20 173 0
2023-03-01 40455 29 173 0
2023-02-28 40426 53 173 0
2023-02-27 40373 47 173 0
2023-02-24 40326 12 173 0
2023-02-23 40314 27 173 0
2023-02-22 40287 23 173 0
2023-02-21 40264 35 173 0
2023-02-20 40229 37 173 0
2023-02-17 40192 23 173 0
2023-02-16 40169 21 173 0
2023-02-15 40148 19 173 0
2023-02-14 40129 24 173 1
2023-02-13 40105 31 172 0
2023-02-10 40074 16 172 0
2023-02-09 40058 18 172 0
2023-02-08 40040 29 172 0
2023-02-07 40011 30 172 0
2023-02-06 39981 33 172 0
2023-02-03 39948 10 172 0
2023-02-02 39938 14 172 0
2023-02-01 39924 27 172 0
2023-01-31 39897 14 172 0
2023-01-30 39883 22 172 0
2023-01-27 39861 11 172 0
2023-01-26 39850 8 172 0
2023-01-25 39842 23 172 0
2023-01-24 39819 20 172 0
2023-01-23 39799 12 172 0
2023-01-20 39787 10 172 0
2023-01-19 39777 19 172 0
2023-01-18 39758 17 172 0
2023-01-17 39741 19 172 0
2023-01-16 39722 24 172 0
2023-01-13 39698 2 172 0
2023-01-12 39696 19 172 0
2023-01-11 39677 18 172 0
2023-01-10 39659 34 172 1
2023-01-09 39625 22 171 1
2023-01-06 39603 31 170 0
2023-01-05 39572 21 170 0
2023-01-04 39551 48 170 0
2023-01-03 39503 51 170 0
2023-01-02 39452 80 170 0
2022-12-30 39372 23 170 0
2022-12-29 39349 23 170 0
2022-12-28 39326 25 170 0
2022-12-27 39301 24 170 0
2022-12-23 39277 30 170 0
2022-12-22 39247 26 170 1
2022-12-21 39221 35 169 0
2022-12-20 39186 44 169 0
2022-12-19 39142 59 169 1
2022-12-16 39083 14 168 0
2022-12-15 39069 38 168 0
2022-12-14 39031 32 168 0
2022-12-13 38999 30 168 1
2022-12-12 38969 39 167 1
2022-12-09 38930 18 166 0
2022-12-08 38912 24 166 0
2022-12-07 38888 25 166 0
2022-12-06 38863 15 166 0
2022-12-05 38848 21 166 0
2022-12-02 38827 10 166 0
2022-12-01 38817 15 166 0
2022-11-30 38802 18 166 0
2022-11-29 38784 39 166 0
2022-11-28 38745 33 166 0
2022-11-25 38712 17 166 1
2022-11-24 38695 25 165 0
2022-11-23 38670 41 165 0
2022-11-22 38629 49 165 0
2022-11-21 38580 56 165 0
2022-11-18 38524 27 165 0
2022-11-17 38497 58 165 1
2022-11-16 38439 39 164 0
2022-11-15 38400 55 164 1
2022-11-14 38345 33 163 1
2022-11-11 38312 61 162 0
2022-11-10 38251 31 162 0
2022-11-09 38220 60 162 0
2022-11-08 38160 35 162 0
2022-11-07 38125 93 162 2
2022-11-04 38032 36 160 0
2022-11-03 37996 59 160 0
2022-11-02 37937 110 160 0
2022-10-31 37827 89 160 0
2022-10-28 37738 39 160 0
2022-10-27 37699 100 160 0
2022-10-26 37599 155 160 0
2022-10-25 37444 84 160 0
2022-10-24 37360 182 160 0
2022-10-21 37178 133 160 0
2022-10-20 37045 160 160 1
2022-10-19 36885 233 159 1
2022-10-18 36652 336 158 0
2022-10-17 36316 234 158 1
2022-10-14 36082 161 157 1
2022-10-13 35921 311 156 1
2022-10-12 35610 442 155 0
2022-10-11 35168 331 155 1
2022-10-10 34837 414 154 4
2022-10-07 34423 215 150 0
2022-10-06 34208 394 150 1
2022-10-05 33814 245 149 0
2022-10-04 33569 231 149 1
2022-09-30 33338 60 148 0
2022-09-29 33278 269 148 2
2022-09-28 33009 186 146 0
2022-09-27 32823 202 146 0
2022-09-26 32621 85 146 0
2022-09-23 32536 44 146 0
2022-09-22 32492 105 146 0
2022-09-21 32387 92 146 0
2022-09-20 32295 145 146 0
2022-09-19 32150 76 146 0
2022-09-16 32074 54 146 0
2022-09-15 32020 62 146 0
2022-09-14 31958 73 146 0
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2022-09-12 31807 86 146 0
2022-09-09 31721 29 146 0
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2022-09-06 31574 51 146 0
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2022-09-02 31458 43 146 0
2022-09-01 31415 51 146 0
2022-08-31 31364 42 146 0
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2022-08-26 31195 20 146 0
2022-08-25 31175 24 146 0
2022-08-24 31151 71 146 0
2022-08-23 31080 77 146 0
2022-08-22 31003 116 146 0
2022-08-19 30887 41 146 0
2022-08-18 30846 65 146 0
2022-08-17 30781 101 146 0
2022-08-16 30680 79 146 0
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2022-08-12 30439 73 146 0
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2022-08-10 30299 114 146 0
2022-08-09 30185 69 146 0
2022-08-08 30116 145 146 0
2022-08-05 29971 67 146 0
2022-08-04 29904 72 146 0
2022-08-03 29832 114 146 0
2022-08-02 29718 115 146 0
2022-08-01 29603 188 146 0
2022-07-29 29415 54 146 0
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2022-06-03 23970 48 142 1
2022-06-02 23922 27 141 0
2022-06-01 23895 85 141 1
2022-05-31 23810 34 140 0
2022-05-30 23776 66 140 0
2022-05-27 23710 46 140 0
2022-05-25 23664 31 140 0
2022-05-24 23633 33 140 1
2022-05-23 23600 65 139 0
2022-05-20 23535 79 139 0
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2022-05-09 22732 172 138 0
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2022-05-02 22117 133 137 0
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2022-04-25 21328 434 136 0
2022-04-22 20894 126 136 0
2022-04-21 20768 334 136 0
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2022-04-19 20193 248 136 0
2022-04-14 19945 178 136 2
2022-04-13 19767 296 134 0
2022-04-12 19471 197 134 2
2022-04-11 19274 216 132 0
2022-04-09 19058 71 132 0
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2021-04-05 2125 2 78 1
2021-04-04 2123 1 77 0
2021-04-03 2122 8 77 0
2021-04-02 2114 5 77 0
2021-04-01 2109 17 77 0
2021-03-31 2092 24 77 2
2021-03-30 2068 12 75 0
2021-03-29 2056 2 75 0
2021-03-28 2054 2 75 0
2021-03-27 2052 18 75 0
2021-03-26 2034 13 75 0
2021-03-25 2021 21 75 0
2021-03-24 2000 13 75 0
2021-03-23 1987 22 75 0
2021-03-22 1965 1 75 0
2021-03-21 1964 6 75 0
2021-03-20 1958 16 75 1
2021-03-19 1942 15 74 0
2021-03-18 1927 14 74 0
2021-03-17 1913 20 74 0
2021-03-16 1893 25 74 1
2021-03-15 1868 7 73 1
2021-03-14 1861 7 72 0
2021-03-13 1854 13 72 0
2021-03-12 1841 16 72 1
2021-03-11 1825 15 71 0
2021-03-10 1810 23 71 1
2021-03-09 1787 16 70 0
2021-03-08 1771 1 70 0
2021-03-07 1770 2 70 1
2021-03-06 1768 9 69 2
2021-03-05 1759 3 67 1
2021-03-04 1756 12 66 1
2021-03-03 1744 9 65 0
2021-03-02 1735 7 65 0
2021-02-28 1728 2 65 0
2021-02-27 1726 7 65 0
2021-02-26 1719 4 65 0
2021-02-25 1715 8 65 0
2021-02-24 1707 8 65 1
2021-02-23 1699 5 64 1
2021-02-22 1694 2 63 1
2021-02-21 1692 1 62 0
2021-02-20 1691 7 62 0
2021-02-19 1684 9 62 0
2021-02-18 1675 8 62 0
2021-02-17 1667 7 62 0
2021-02-16 1660 6 62 0
2021-02-14 1654 1 62 0
2021-02-13 1653 7 62 0
2021-02-12 1646 4 62 0
2021-02-11 1642 5 62 0
2021-02-10 1637 4 62 0
2021-02-09 1633 11 62 0
2021-02-08 1622 3 62 0
2021-02-07 1619 4 62 0
2021-02-06 1615 3 62 0
2021-02-05 1612 6 62 0
2021-02-04 1606 8 62 1
2021-02-03 1598 6 61 0
2021-02-02 1592 12 61 0
2021-02-01 1580 6 61 2
2021-01-31 1574 4 59 0
2021-01-30 1570 8 59 0
2021-01-29 1562 13 59 0
2021-01-28 1549 6 59 0
2021-01-27 1543 10 59 0
2021-01-26 1533 10 59 0
2021-01-25 1523 5 59 2
2021-01-24 1518 5 57 0
2021-01-23 1513 1 57 0
2021-01-22 1512 12 57 1
2021-01-21 1500 9 56 0
2021-01-20 1491 24 56 2
2021-01-19 1467 7 54 0
2021-01-18 1460 1 54 0
2021-01-16 1459 6 54 1
2021-01-15 1453 7 53 0
2021-01-14 1446 23 53 1
2021-01-13 1423 13 52 1
2021-01-12 1410 22 51 1
2021-01-11 1388 4 50 1
2021-01-10 1384 4 49 1
2021-01-09 1380 20 48 0
2021-01-08 1360 3 48 0
2021-01-07 1357 18 48 0
2021-01-06 1339 40 48 3
2021-01-05 1299 33 45 5
2021-01-04 1266 8 40 0
2021-01-03 1258 9 40 0
2021-01-02 1249 25 40 2
2020-12-31 1224 3 38 1
2020-12-30 1221 42 37 3
2020-12-29 1179 23 34 0
2020-12-28 1156 28 34 1
2020-12-27 1128 24 33 0
2020-12-23 1104 23 33 0
2020-12-22 1081 21 33 1
2020-12-21 1060 12 32 1
2020-12-20 1048 13 31 0
2020-12-19 1035 23 31 2
2020-12-18 1012 12 29 0
2020-12-17 1000 35 29 1
2020-12-16 965 22 28 0
2020-12-15 943 17 28 0
2020-12-14 926 1 28 0
2020-12-13 925 10 28 1
2020-12-12 915 19 27 1
2020-12-11 896 36 26 0
2020-12-10 860 19 26 2
2020-12-09 841 23 24 0
2020-12-08 818 6 24 0
2020-12-07 812 4 24 0
2020-12-06 808 7 24 0
2020-12-05 801 19 24 3
2020-12-04 782 13 21 1
2020-12-03 769 19 20 1
2020-12-02 750 12 19 0
2020-12-01 738 11 19 1
2020-11-30 727 6 18 0
2020-11-29 721 17 18 0
2020-11-28 704 5 18 0
2020-11-27 699 20 18 1
2020-11-26 679 18 17 0
2020-11-25 661 22 17 0
2020-11-24 639 25 17 1
2020-11-23 614 4 16 1
2020-11-22 610 17 15 1
2020-11-21 593 11 14 0
2020-11-20 582 28 14 1
2020-11-19 554 18 13 3
2020-11-18 536 14 10 0
2020-11-17 522 11 10 2
2020-11-16 511 4 8 0
2020-11-15 507 7 8 0
2020-11-14 500 28 8 1
2020-11-13 472 18 7 0
2020-11-12 454 17 7 1
2020-11-11 437 13 6 1
2020-11-10 424 8 5 1
2020-11-09 416 15 4 0
2020-11-08 401 10 4 0
2020-11-07 391 13 4 0
2020-11-06 378 13 4 0
2020-11-05 365 19 4 1
2020-11-04 346 32 3 0
2020-11-03 314 2 3 0
2020-11-02 312 11 3 0
2020-11-01 301 8 3 0
2020-10-31 293 14 3 0
2020-10-30 279 13 3 0
2020-10-29 266 15 3 0
2020-10-28 251 7 3 0
2020-10-27 244 9 3 0
2020-10-26 235 2 3 0
2020-10-25 233 3 3 0
2020-10-24 230 7 3 0
2020-10-23 223 15 3 0
2020-10-22 208 2 3 0
2020-10-21 206 9 3 0
2020-10-20 197 9 3 0
2020-10-19 188 5 3 0
2020-10-18 183 1 3 0
2020-10-17 182 18 3 0
2020-10-16 164 2 3 0
2020-10-15 162 3 3 0
2020-10-14 159 2 3 0
2020-10-13 157 4 3 0
2020-10-12 153 6 3 0
2020-10-06 147 1 3 0
2020-10-02 146 1 3 0
2020-09-28 145 1 3 0
2020-09-16 144 1 3 0
2020-09-10 143 1 3 0
2020-09-09 142 1 3 0
2020-09-04 141 1 3 0
2020-09-03 140 1 3 0
2020-08-31 139 1 3 0
2020-08-27 138 4 3 0
2020-08-25 134 1 3 0
2020-08-20 133 1 3 0
2020-08-17 132 5 3 0
2020-08-13 127 4 3 0
2020-08-10 123 1 3 0
2020-08-07 122 2 3 0
2020-07-22 120 2 3 0
2020-07-16 118 4 3 0
2020-07-15 114 1 3 0
2020-07-14 113 1 3 0
2020-07-13 112 1 3 0
2020-07-11 111 5 3 0
2020-07-09 106 1 3 0
2020-07-08 105 1 3 0
2020-04-29 104 1 3 0
2020-04-25 103 1 3 0
2020-04-22 102 1 3 0
2020-04-17 101 1 3 0
2020-04-16 100 3 3 0
2020-04-15 97 1 3 0
2020-04-14 96 1 3 0
2020-04-13 95 2 3 0
2020-04-11 93 10 3 0
2020-04-09 83 2 3 0
2020-04-08 81 1 3 0
2020-04-07 80 2 3 0
2020-04-06 78 1 3 0
2020-04-04 77 7 3 0
2020-04-03 70 8 3 0
2020-04-02 62 6 3 0
2020-04-01 56 7 3 1
2020-03-31 49 3 2 1
2020-03-30 46 5 1 0
2020-03-29 41 3 1 0
2020-03-28 38 5 1 1
2020-03-27 33 2 0 0
2020-03-26 31 7 0 0
2020-03-25 24 4 0 0
2020-03-24 20 2 0 0
2020-03-23 18 2 0 0
2020-03-22 16 4 0 0
2020-03-21 12 1 0 0
2020-03-20 11 8 0 0
2020-03-17 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: 0:03:18.001337