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correct wrong values for vR (literature)

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Andrejh 2021-09-18 10:54:35 +02:00
parent 948dd91969
commit 8835101689
1 changed files with 10 additions and 10 deletions
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20
cara/results_paper.py
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@ -608,32 +608,32 @@ def compare_viruses_vr():
positions=np.linspace(4.5, 11.5, 20)
######### SARS-CoV-2 #########
lower_bound = [290, 150, 150, 360, 450, 610, 620, 1160, 1300, 1330, 1390, 1390, 1520, 2320, 6830, 9700, 42130]
higher_bound = [2900, 1500, 1500, 3600, 4500, 6100, 6200, 11600, 13000, 13300, 13900, 13900, 15200, 23200, 68300, 97000, 421300]
lower_bound = [418, 216, 216, 518, 648, 878, 893, 1670, 1872, 1915, 2002, 2002, 2189, 3341, 9835, 13968, 60667]
higher_bound = [4176, 2160, 2160, 5184, 6480, 8784, 8928, 16704, 18720, 19152, 20016, 20016, 21888, 33408, 98352, 139680, 606672]
for i in range(len(lower_bound)):
data = np.random.uniform(lower_bound[i], higher_bound[i], size=200000)
ax.boxplot(np.log10(data), positions=[positions[i]], medianprops=dict(color=colors[0]+ (0.5,)), whiskerprops=dict(color=colors[0]+ (0.5,)), boxprops=dict(color=colors[0]+ (0.5,)))
######### Measles #########
lower_bound = [180, 6000, 27650, 86400]
higher_bound = [1800, 60000, 276500, 864000]
lower_bound = [259, 8640, 39816, 124416]
higher_bound = [2592, 86400, 398160, 1244160]
for i in range(len(lower_bound)):
data = np.random.uniform(lower_bound[i], higher_bound[i], size=200000)
ax.boxplot(np.log10(data), positions=[positions[i+5]], medianprops=dict(color=colors[1]+ (0.5,)), whiskerprops=dict(color=colors[1]+ (0.5,)), boxprops=dict(color=colors[1]+ (0.5,)))
######### Influenza #########
lower_bound = [1.1, 79.5, 790]
higher_bound = [11, 795, 7900]
lower_bound = [2, 114, 1138]
higher_bound = [16, 1145, 11376]
for i in range(len(lower_bound)):
data = np.random.uniform(lower_bound[i], higher_bound[i], size=200000)
ax.boxplot(np.log10(data), positions=[positions[i+12]], medianprops=dict(color=colors[2]+ (0.5,)), whiskerprops=dict(color=colors[2]+ (0.5,)), boxprops=dict(color=colors[2]+ (0.5,)))
######### Rhinovirus #########
lower_bound = [31]
higher_bound = [310]
lower_bound = [45]
higher_bound = [446]
for i in range(len(lower_bound)):
data = np.random.uniform(lower_bound[i], higher_bound[i], size=200000)
@ -642,13 +642,13 @@ def compare_viruses_vr():
handles = [patches.Patch(edgecolor=c, facecolor='none', label=l) for c, l in zip([p + (0.5,) for p in [(0., 0.5, 0.5), (0, 0, 0.5), (0.5, 0, 0), (0.5, 0.5, 0.5)]], ('SARS-CoV-2', 'Measles', 'Influenza', 'Rhinovirus'))]
boxplot_legend = plt.legend(handles=handles, loc='lower right')
ax.annotate("Bus ride", xy=(6, np.log10(4000)), color='k', fontsize=8,
ax.annotate("Bus ride", xy=(6, np.log10(5500)), color='k', fontsize=8,
xycoords='data',
xytext=(-50, 50), textcoords='offset points',
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=-0.2", color='lightgrey'))
ax.annotate("S V Chorale", xy=(10, np.log10(100000)), color='k', fontsize=8,
ax.annotate("S V Chorale", xy=(10, np.log10(110000)), color='k', fontsize=8,
xycoords='data',
xytext=(-50, 40), textcoords='offset points',
arrowprops=dict(arrowstyle="->",