legend updates
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330c47823e
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1 changed files with 6 additions and 6 deletions
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@ -22,8 +22,8 @@ from mpl_toolkits.axes_grid1.inset_locator import mark_inset
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######### Plot material #########
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np.random.seed(2000)
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SAMPLE_SIZE = 250000
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TIMESTEP = 0.01
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viral_loads = np.linspace(2, 12, 600)
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TIMESTEP = 0.1
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#viral_loads = np.linspace(2, 12, 600)
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_VectorisedFloat = typing.Union[float, np.ndarray]
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@ -59,7 +59,7 @@ def previous_deposited_exposure_between_bounds(model: ExposureModel, time1: floa
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(1 - model.exposed.mask.inhale_efficiency()))
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def concentration_curve(models, labels, colors, linestyles, thickness):
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def concentration_curve(models, labels, labelsDose, colors, linestyles, thickness):
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exp_models = [model.build_model(size=SAMPLE_SIZE) for model in models]
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@ -129,10 +129,10 @@ def concentration_curve(models, labels, colors, linestyles, thickness):
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ax1.spines["right"].set_linestyle((0, (1, 5)))
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ax1.set_ylabel('Mean cumulative dose (virions)', fontsize=14)
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ax1.set_ylabel('Mean cumulative dose\n(infectious virus)', fontsize=14)
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ax1.set_ylim(ax1.get_ylim()[0], ax1.get_ylim()[1] * 1.3)
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complete_labels = labels + ['vD - ' + label for label in labels]
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complete_labels = labels + [label for label in labelsDose]
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complete_colors = colors + [color for color in colors]
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complete_linestyles = linestyles + ['dotted' for linestyle in linestyles]
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@ -146,7 +146,7 @@ def concentration_curve(models, labels, colors, linestyles, thickness):
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f"5th per = {quantile_05[i][-1]}\n"
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f"95th per = {quantile_95[i][-1]}\n")
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plt.legend(handles=labels_legend, loc='upper right', bbox_to_anchor=(1, 1))
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plt.legend(handles=labels_legend, loc='upper left')
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plt.show()
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def plot_pi_vs_exposure_time(exp_models: typing.List[mc.ExposureModel],
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