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change vl_crit to vl_95

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markus 2021-02-24 17:25:48 +01:00
parent 25b5a16668
commit 7fee476ea6
2 changed files with 10 additions and 9 deletions
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14
cara/mc-output.py
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@ -1,8 +1,8 @@
from cara.montecarlo import *
from cara.model_scenarios import *
classroom_model.infection_probability()
compare_concentration_curves([classroom_model, classroom_model_with_hepa], ['Just window', 'Window and HEPA'])
#classroom_model.infection_probability()
#compare_concentration_curves([classroom_model, classroom_model_with_hepa], ['Just window', 'Window and HEPA'])
#print(np.mean(chorale_model.infection_probability()))
#print(np.mean(chorale_model.infection_probability())+np.std(chorale_model.infection_probability()))
@ -13,11 +13,11 @@ compare_concentration_curves([classroom_model, classroom_model_with_hepa], ['Jus
# #print(np.mean(classroom_model_with_hepa.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([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)
#plot_pi_vs_viral_load([shared_office_model[1]], labels=['Baseline, qID=60', 'HEPA, qID=60', 'No mask + windows closed, qID=60'],title='$P(I|qID)$ - Shared office scenario')

5
cara/montecarlo.py
View file

@ -610,7 +610,8 @@ def plot_pi_vs_viral_load(baselines: typing.Union[MCExposureModel, typing.List[M
def composite_plot_pi_vs_viral_load(baselines: typing.List[MCExposureModel], labels: typing.List[str],
colors: typing.List[str], samples_per_vl: int = 2000, vl_points: int = 200,
title: str = 'Probability of infection vs viral load', show_lines: bool = True) -> None:
title: str = 'Probability of infection vs viral load', show_lines: bool = True,
show_vl_crit: bool = True) -> None:
viral_loads = np.linspace(1, 12, vl_points)
lines, lowers, uppers = [], [], []
for baseline in baselines:
@ -695,7 +696,7 @@ def composite_plot_pi_vs_viral_load(baselines: typing.List[MCExposureModel], lab
break
for i, (crit, color) in enumerate(zip(crits, colors)):
axs[0, 0].text(2.5, 0.4 - i * 0.1, f'x $vl_{"{crit2}"}=' + '10^{' + str(np.round(crits[i], 1)) + '}$', fontsize=10, color=color)
axs[0, 0].text(2.5, 0.4 - i * 0.1, f'x $vl_{"{0.95}"}=' + '10^{' + str(np.round(crits[i], 1)) + '}$', fontsize=10, color=color)
axs[0, 0].plot(crits[i], 0.95, 'x', color=color)
if show_lines: