change single pi vs vl plot settings
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05e1b100d4
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1 changed files with 12 additions and 12 deletions
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@ -579,8 +579,8 @@ def plot_pi_vs_viral_load(baselines: typing.Union[MCExposureModel, typing.List[M
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plt.vlines(x=(left, right), ymin=0, ymax=1,
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colors=('grey', 'grey'), linestyles='dotted')
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plt.text(left - 1.1, 0.80, '$vl_{crit1}$', fontsize=12,color='black')
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plt.text(right + 0.1, 0.80, '$vl_{crit2}$', fontsize=12,color='black')
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plt.text(left - 1.1, 0.80, '$vl_{0.05}$', fontsize=12,color='black')
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plt.text(right + 0.1, 0.80, '$vl_{0.95}$', fontsize=12,color='black')
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# add 3 shaded areas
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plt.axvspan(3, left, alpha=0.1, color='limegreen')
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plt.axvspan(left, right, alpha=0.1, color='orange')
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@ -589,16 +589,16 @@ def plot_pi_vs_viral_load(baselines: typing.Union[MCExposureModel, typing.List[M
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if labels is not None:
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plt.legend(labels)
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# this is an inset plot inside the main plot
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a = plt.axes([.2, .25, .3, .2], facecolor='lightgrey')
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plt.title('Histogram', fontsize=10)
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# choose between hist or violin plot
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if len(baselines) == 1:
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plt.hist(baselines[0].infection_probability()/100, bins=50)
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plt.xticks([0, 0.5, 1])
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plt.yticks([])
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#a = plt.axes([.2, .25, .3, .2], facecolor='lightgrey')
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#
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#plt.title('Histogram', fontsize=10)
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## choose between hist or violin plot
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#
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#if len(baselines) == 1:
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# plt.hist(baselines[0].infection_probability()/100, bins=50)
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# plt.xticks([0, 0.5, 1])
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# plt.yticks([])
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#
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# parts = plt.violinplot((shared_office_worst_model[1].infection_probability()/100, shared_office_model[1].infection_probability()/100, shared_office_better_model[1].infection_probability()/100), positions = (1, 2, 3), showmeans=True, showmedians=True)
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# for pc in parts['bodies']:
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# pc.set_facecolor('#D43F3A')
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