.. _statistics-histogram_demo_histtypes: statistics example code: histogram_demo_histtypes.py ==================================================== .. plot:: /home/tcaswell/src/p/matplotlib/doc/mpl_examples/statistics/histogram_demo_histtypes.py :: """ ================================================================ Demo of the histogram function's different ``histtype`` settings ================================================================ * Histogram with step curve that has a color fill. * Histogram with custom and unequal bin widths. 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 numpy as np import matplotlib.pyplot as plt np.random.seed(0) mu = 200 sigma = 25 x = np.random.normal(mu, sigma, size=100) fig, (ax0, ax1) = plt.subplots(ncols=2, figsize=(8, 4)) ax0.hist(x, 20, normed=1, histtype='stepfilled', facecolor='g', alpha=0.75) ax0.set_title('stepfilled') # Create a histogram by providing the bin edges (unequally spaced). bins = [100, 150, 180, 195, 205, 220, 250, 300] ax1.hist(x, bins, normed=1, histtype='bar', rwidth=0.8) ax1.set_title('unequal bins') fig.tight_layout() plt.show() Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)