31 lines
814 B
Python
31 lines
814 B
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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# roll the die:
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rng = np.random.RandomState(57281)
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x1 = rng.random_integers(1, 6, 100)
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x2 = rng.random_integers(1, 6, 500)
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bins = np.arange(0.5, 7, 1.0)
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fig, (ax1, ax2) = plt.subplots(1, 2)
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fig.subplots_adjust(**adjust_fs(bottom=2.7, top=0.1))
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ax1.set_xlim(0, 7)
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ax1.set_xticks(range(1, 7))
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ax1.set_xlabel('x')
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ax1.set_ylim(0, 98)
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ax1.set_ylabel('Frequency')
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fs = fsC
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fs['color'] = [fsC['facecolor'], fsE['facecolor']]
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del fs['facecolor']
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ax1.hist([x2, x1], bins, **fs)
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ax2.set_xlim(0, 7)
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ax2.set_xticks(range(1, 7))
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ax2.set_xlabel('x')
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ax2.set_ylim(0, 0.23)
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ax2.set_ylabel('Probability')
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ax2.plot([0.2, 6.8], [1.0/6.0, 1.0/6.0], zorder=1, **lsAm)
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ax2.hist([x2, x1], bins, normed=True, zorder=10, **fs)
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fig.savefig('diehistograms.pdf')
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