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rki-impfparser
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feat: Plot for remaining days until done over time

This commit is contained in:
Benedikt Bastin 2021-03-09 16:24:13 +01:00
parent 2ec5c35f22
commit 794fcf87d2
1 changed files with 112 additions and 0 deletions
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112
plot.py
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@ -679,6 +679,110 @@ def plot_vaccination_rate():
plot_vaccination_rate()
def plot_vaccination_done_days():
archive_plot_filename = '{}/vaccination_done_days'.format(archive_folder)
latest_plot_filename = '{}/vaccination_done_days'.format(site_folder)
#if os.path.isfile(archive_plot_filename + '.pdf'):
#print('Plot {} already exists'.format(archive_plot_filename))
#return
fig, ax = plt.subplots(1)
plt.title(
'Lin. Extrapolation der Erstimpfungen bis 70 % der Bevölkerung anhand der durchschn. Impfrate (Anzahl Tage, Gesamt und 7 Tage)\n'
'Datenquelle: RKI, Stand: {}. Erstellung: {}, Ersteller: Benedikt Bastin, Lizenz: CC BY-SA 4.0\n'.format(
print_stand, print_today
)
)
d = data_first_vaccination
days_remaining_daily = np.ceil((einwohner_deutschland * 0.7 - d['cumulative']) / (d['mean_vaccination_rates_daily']))
days_remaining_rolling = np.ceil((einwohner_deutschland * 0.7 - d['cumulative']) / (d['vaccination_rates_daily_rolling_average']))
ax.set_ylim(0, 2500)
ax.plot(dates, days_remaining_daily, label='Durchschnitt Gesamt', linewidth=0.5)
ax.plot(dates, days_remaining_rolling, label='Durchschnitt 7 Tage', linewidth=2)
ax.grid(True)
ax.legend(loc='upper right')
ax.get_yaxis().get_major_formatter().set_scientific(False)
ax.set_xlabel('Datum')
ax.set_ylabel('Tage, bis 70 % erreicht sind')
plt.savefig(archive_plot_filename + '.pdf')
plt.savefig(archive_plot_filename + '.png')
plt.savefig(latest_plot_filename + '.pdf')
plt.savefig(latest_plot_filename + '.png')
plt.close()
print('Created plot {} as pdf and png'.format(archive_plot_filename))
plot_vaccination_done_days()
def plot_vaccination_done_dates():
archive_plot_filename = '{}/vaccination_done_dates'.format(archive_folder)
latest_plot_filename = '{}/vaccination_done_dates'.format(site_folder)
#if os.path.isfile(archive_plot_filename + '.pdf'):
#print('Plot {} already exists'.format(archive_plot_filename))
#return
fig, ax = plt.subplots(1)
plt.title(
'Lin. Extrapolation der Erstimpfungen bis 70 % der Bevölkerung anhand der durchschn. Impfrate (Datum, Gesamt und 7 Tage)\n'
'Datenquelle: RKI, Stand: {}. Erstellung: {}, Ersteller: Benedikt Bastin, Lizenz: CC BY-SA 4.0\n'.format(
print_stand, print_today
)
)
d = data_first_vaccination
#print(d['cumulative'])
#print(np.sum(d['daily']))
#print((einwohner_deutschland - d['cumulative'])[:-1] - d['to_be_vaccinated'])
days_remaining_daily = np.ceil((einwohner_deutschland * 0.7 - d['cumulative']) / (d['mean_vaccination_rates_daily']))
days_remaining_rolling = np.ceil((einwohner_deutschland * 0.7 - d['cumulative']) / (d['vaccination_rates_daily_rolling_average']))
dates_daily = [today + datetime.timedelta(days) for days in days_remaining_daily]
dates_rolling = [today + datetime.timedelta(days) for days in days_remaining_rolling.dropna()]
#print(dates_rolling)
ax.set_ylim(today, today + datetime.timedelta(int(np.max(days_remaining_rolling) * 1.05)))
ax.plot(dates, dates_daily, label='Durchschnitt Gesamt', linewidth=0.5)
ax.plot(dates[6:], dates_rolling, label='Durchschnitt 7 Tage', linewidth=2)
ax.grid(True)
ax.legend(loc='upper right')
ax.set_xlabel('Datum')
ax.set_ylabel('Datum, an dem 70 % erreicht sind')
plt.savefig(archive_plot_filename + '.pdf')
plt.savefig(archive_plot_filename + '.png')
plt.savefig(latest_plot_filename + '.pdf')
plt.savefig(latest_plot_filename + '.png')
plt.close()
print('Created plot {} as pdf and png'.format(archive_plot_filename))
plot_vaccination_done_dates()
def render_dashboard():
dashboard_filename = 'site/index.xhtml'
dashboard_archive_filename = 'site/archive/{}/index.xhtml'.format(filename_stand)
@ -758,6 +862,14 @@ def render_dashboard():
'index': 10,
'filename': 'vaccination_rate',
'caption': 'Tägliche Impfrate sowie durchschnittliche Impfrate'
},{
'index': 11,
'filename': 'vaccination_done_days',
'caption': 'Lineare Extrapolation bis 70 % der Bevölkerung anhand der Erstimpfungen der durchschnittlichen Impfrate (Anzahl Tage, Gesamt und 7 Tage)'
},{
'index': 12,
'filename': 'vaccination_done_dates',
'caption': 'Lineare Extrapolation bis 70 % der Bevölkerung anhand der Erstimpfungen der durchschnittlichen Impfrate (Datum, Gesamt und 7 Tage)'
}
]
).dump('site/index.xhtml')