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"""
================================================================
Demo of the histogram function's different ``histtype`` settings
================================================================
* Histogram with step curve that has a color fill.
* Histogram with step curve with no fill.
* Histogram with custom and unequal bin widths.
* Two histograms with stacked bars.
Selecting different bin counts and sizes can significantly affect the
shape of a histogram. The Astropy docs have a great section on how to
select these parameters:
http://docs.astropy.org/en/stable/visualization/histogram.html
"""
import matplotlib.pyplot as plt
import numpy as np
np.random.seed(19680801)
mu_x = 200
sigma_x = 25
x = np.random.normal(mu_x, sigma_x, size=100)
mu_w = 200
sigma_w = 10
w = np.random.normal(mu_w, sigma_w, size=100)
fig, axs = plt.subplots(nrows=2, ncols=2)
axs[0, 0].hist(x, 20, density=True, histtype='stepfilled', facecolor='g',
alpha=0.75)
axs[0, 0].set_title('stepfilled')
axs[0, 1].hist(x, 20, density=True, histtype='step', facecolor='g',
alpha=0.75)
axs[0, 1].set_title('step')
axs[1, 0].hist(x, density=True, histtype='barstacked', rwidth=0.8)
axs[1, 0].hist(w, density=True, histtype='barstacked', rwidth=0.8)
axs[1, 0].set_title('barstacked')
# Create a histogram by providing the bin edges (unequally spaced).
bins = [100, 150, 180, 195, 205, 220, 250, 300]
axs[1, 1].hist(x, bins, density=True, histtype='bar', rwidth=0.8)
axs[1, 1].set_title('bar, unequal bins')
fig.tight_layout()
plt.show()
# %%
#
# .. tags:: plot-type: histogram, domain: statistics, purpose: reference
#
# .. admonition:: References
#
# The use of the following functions, methods, classes and modules is shown
# in this example:
#
# - `matplotlib.axes.Axes.hist` / `matplotlib.pyplot.hist`
|
