MS Zaandam¶

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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: 30/06/2022 09:45:36 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("MS Zaandam", weeks=5);
2022-06-30T09:45:38.490213 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun −0.050 −0.050 −0.025 −0.025 0.000 0.000 0.025 0.025 0.050 0.050 7-day incidence rate 0.0 MS Zaandam, last 5 weeks, last data point from 2022-06-29 30 May 06 Jun 13 Jun 20 Jun 27 Jun −0.050 −0.050 −0.025 −0.025 0.000 0.000 0.025 0.025 0.050 0.050 daily change MS Zaandam new cases (rolling 7d mean) MS Zaandam new cases 30 May 06 Jun 13 Jun 20 Jun 27 Jun −0.050 −0.050 −0.025 −0.025 0.000 0.000 0.025 0.025 0.050 0.050 daily change MS Zaandam new deaths (rolling 7d mean) MS Zaandam new deaths 30 May 06 Jun 13 Jun 20 Jun 27 Jun 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 cases) MS Zaandam cases daily growth factor MS Zaandam cases daily growth factor (rolling mean) MS Zaandam estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 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) MS Zaandam deaths daily growth factor MS Zaandam deaths daily growth factor (rolling mean) MS Zaandam estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0
In [4]:
overview("MS Zaandam");
2022-06-30T09:45:43.628697 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 0 2 2 4 4 6 6 8 8 7-day incidence rate 0.0 MS Zaandam, last data point from 2022-06-29 Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 0 2 2 4 4 6 6 daily change MS Zaandam new cases (rolling 7d mean) MS Zaandam new cases Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0.0 0.0 0.5 0.5 1.0 1.0 1.5 1.5 2.0 2.0 daily change