pingu_98/cara
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

call additional funct.

Browse source
This commit is contained in:
Andrejh 2021-02-26 21:28:23 +01:00
parent f12d657475
commit 4ad7a57477
1 changed files with 28 additions and 12 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

40
cara/mc-output.py
View file

@ -1,9 +1,11 @@
from cara.montecarlo import *
from cara.model_scenarios import *
#plot_concentration_curve(classroom_model[1])
#compare_concentration_curves([classroom_model, classroom_model_with_hepa], ['Just window', 'Window and HEPA'])
#print(np.mean(chorale_model.infection_probability()))
#print(np.mean(classroom_model[0].infection_probability()))
#print(np.mean(classroom_model[1].infection_probability()))
#print(np.mean(chorale_model.infection_probability())+np.std(chorale_model.infection_probability()))
#print(np.quantile(chorale_model.infection_probability(),0.8))
#print(np.quantile(chorale_model.infection_probability(),0.90))
@ -11,17 +13,31 @@ from cara.model_scenarios import *
print(np.mean(shared_office_model[1].infection_probability()))
composite_plot_pi_vs_viral_load([shared_office_worst_model[1], shared_office_model[1], shared_office_better_model[1]],
labels=['No mask &\nwindows closed', 'Baseline', 'Baseline +\nHEPA filter'],
colors=['tomato', '#1f77b4', 'limegreen'],
title='$P(I|qID)$ vs $vl$ - Shared office scenario',
vl_points=200)
composite_plot_pi_vs_viral_load([classroom_model[1], classroom_model_with_hepa[1]],
labels=['No mask &\nwindows closed', 'Baseline', 'Baseline +\nHEPA filter'],
colors=['tomato', '#1f77b4', 'limegreen'],
title='$P(I|qID)$ vs $vl$ - Shared office scenario',
vl_points=200)
#print(np.mean(shared_office_model[1].infection_probability()))
#composite_plot_pi_vs_viral_load([shared_office_worst_model[1], shared_office_model[1], shared_office_better_model[1]],
# labels=['No mask &\nwindows closed', 'Baseline', 'Baseline +\nHEPA filter'],
# colors=['tomato', '#1f77b4', 'limegreen'],
# title='$P(I|qID)$ vs $vl$ - Shared office scenario',
# vl_points=200)
#composite_plot_pi_vs_viral_load([classroom_model_no_vent[1], classroom_model[1], classroom_model_with_hepa[1], classroom_model_full_open_hepa[1]],
# labels=['Windows closed', 'Baseline:\n(windows 10min/2h)', 'Baseline:\n(windows 10min/2h)+\nHEPA', 'Multiple windows open +\nHEPA filter'],
# colors=['tomato','#1f77b4', 'seagreen', 'limegreen'],
# title='',
# vl_points=200)
#compare_concentration_curves([classroom_model_no_vent[1], classroom_model[1], classroom_model_with_hepa[1], classroom_model_full_open_hepa[1]],
# labels=['Windows closed', 'Baseline:(windows 10min/2h)', 'Baseline:(windows 10min/2h) + HEPA', 'Multiple windows open + HEPA filter'],
# colors=['tomato','#1f77b4', 'seagreen', 'limegreen'],
# title='Classroom scenario'
# )
compare_concentration_curves([waiting_room_model[1], waiting_room_model_full_summer[1],
waiting_room_model_full_winter[1], waiting_room_model_periodic_winter[1]],
labels=['Baseline:(windows closed)', 'Windows open (summer)', 'Windows open (winter)', 'Windows open 5min/20min (winter)'],
colors=['#1f77b4', 'darkorange', 'deepskyblue', 'lightskyblue'],
title='Waiting room scenario'
)
#plot_pi_vs_viral_load([shared_office_model[1]], labels=['Baseline'],title='')