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Go to the end to download the full example code.
This example demonstrates the style used in the Bayesian Methods for Hackers [1] online book.
[1]http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
['bmh' style sheet]import matplotlib.pyplot as plt
import numpy as np
# Fixing random state for reproducibility
np.random.seed(19680801)
plt.style.use('bmh')
def plot_beta_hist(ax, a, b):
ax.hist(np.random.beta(a, b, size=10000),
histtype="stepfilled", bins=25, alpha=0.8, density=True)
fig, ax = plt.subplots()
plot_beta_hist(ax, 10, 10)
plot_beta_hist(ax, 4, 12)
plot_beta_hist(ax, 50, 12)
plot_beta_hist(ax, 6, 55)
ax.set_title("'bmh' style sheet")
plt.show()
Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122026 The Matplotlib development team.
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Built from v3.11.2-1-g879ad8ebba.
Built with the PyData Sphinx Theme 0.16.1.
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