Hungary: Fejér¶

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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: 08/08/2022 15:34:31 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Hungary", region="Fejér", weeks=5);
2022-08-08T15:34:34.161012 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 60 60 80 80 100 100 120 120 7-day incidence rate 101.0 Fejér, Hungary, last 5 weeks, last data point from 2022-06-29 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 0 25 25 50 50 75 75 100 100 daily change Hungary-Fejér new cases (rolling 7d mean) Hungary-Fejér new cases 30 May 06 Jun 13 Jun 20 Jun 27 Jun No data available to plot daily change in deaths 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.6 0.6 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Hungary-Fejér cases daily growth factor Hungary-Fejér cases daily growth factor (rolling mean) Hungary-Fejér estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun No data available to plot R & growth factor (based on deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 0 2500 2500 5000 5000 7500 7500 10000 10000 cases doubling time [days]
In [4]:
overview(country="Hungary", region="Fejér");
2022-08-08T15:34:36.753390 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 0 2000 2000 4000 4000 7-day incidence rate 101.0 Fejér, Hungary, last data point from 2022-06-29 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 0 500 500 1000 1000 1500 1500 daily change Hungary-Fejér new cases (rolling 7d mean) Hungary-Fejér new cases Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 No data available to plot daily change in deaths Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0.6 0.6 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases)