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()

[stepfilled, step, barstacked, bar, unequal bins]

Tags: plot-type: histogram domain: statistics purpose: reference

References

The use of the following functions, methods, classes and modules is shown in this example:

matplotlib.axes.Axes.hist / matplotlib.pyplot.hist

Total running time of the script: (0 minutes 1.042 seconds)

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Demo of the histogram function's different histtype settings#

Demo of the histogram function's different `histtype` settings#