Antarctica¶

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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: 03/07/2022 09:38:14 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Antarctica", weeks=5);
2022-07-03T09:38:17.386997 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 Antarctica, last 5 weeks, last data point from 2022-07-02 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 Antarctica new cases (rolling 7d mean) Antarctica 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 Antarctica new deaths (rolling 7d mean) Antarctica 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) Antarctica cases daily growth factor Antarctica cases daily growth factor (rolling mean) Antarctica 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) Antarctica deaths daily growth factor Antarctica deaths daily growth factor (rolling mean) Antarctica 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("Antarctica");
2022-07-03T09:38:21.976724 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 0.0 2.5 2.5 5.0 5.0 7.5 7.5 10.0 10.0 7-day incidence rate 0.0 Antarctica, last data point from 2022-07-02 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 2.5 2.5 5.0 5.0 7.5 7.5 10.0 10.0 daily change Antarctica new cases (rolling 7d mean) Antarctica new cases Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 −0.050 −0.050 −0.025 −0.025 0.000 0.000 0.025 0.025 0.050 0.050 daily change