40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
import numpy as np
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import matplotlib.pyplot as plt
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from plotstyle import *
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rng = np.random.RandomState(981)
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x = rng.randn( 40, 10 )
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fig, ax = plt.subplots()
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ax.set_xlabel('Experiment')
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ax.set_ylabel('x')
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ax.set_ylim(-4.0, 4.0)
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ax.annotate('Median',
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xy=(3.9, 0.0), xycoords='data',
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xytext=(3.5, -2.7), textcoords='data', ha='right',
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arrowprops=dict(arrowstyle="->", relpos=(0.8,1.0),
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connectionstyle="angle3,angleA=-110,angleB=60") )
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ax.annotate('1. quartile',
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xy=(5.8, -0.9), xycoords='data',
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xytext=(5.5, -3.4), textcoords='data', ha='right',
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arrowprops=dict(arrowstyle="->", relpos=(0.9,1.0),
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connectionstyle="angle3,angleA=30,angleB=70") )
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ax.annotate('3. quartile',
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xy=(6.1, 1.1), xycoords='data',
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xytext=(6.5, 3.0), textcoords='data', ha='left',
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arrowprops=dict(arrowstyle="->", relpos=(0.0,0.0),
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connectionstyle="angle3,angleA=30,angleB=70") )
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ax.annotate('minimum',
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xy=(6.1, -1.9), xycoords='data',
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xytext=(7.2, -3.3), textcoords='data', ha='left',
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arrowprops=dict(arrowstyle="->", relpos=(0.0,0.5),
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connectionstyle="angle3,angleA=10,angleB=100") )
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ax.annotate('maximum',
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xy=(5.9, 2.7), xycoords='data',
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xytext=(4.9, 3.5), textcoords='data', ha='right',
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arrowprops=dict(arrowstyle="->", relpos=(1.0,0.5),
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connectionstyle="angle3,angleA=0,angleB=120") )
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ax.boxplot(x, whis=100.0)
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plt.savefig('boxwhisker.pdf')
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