.. _statistics-histogram_demo_multihist: statistics example code: histogram_demo_multihist.py ==================================================== .. plot:: /home/tcaswell/src/p/matplotlib/doc/mpl_examples/statistics/histogram_demo_multihist.py :: """ ============================================================= Demo of the histogram (hist) function with multiple data sets ============================================================= Plot histogram with multiple sample sets and demonstrate: * Use of legend with multiple sample sets * Stacked bars * Step curve with no fill * Data sets of different sample sizes 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) n_bins = 10 x = np.random.randn(1000, 3) fig, axes = plt.subplots(nrows=2, ncols=2) ax0, ax1, ax2, ax3 = axes.flatten() colors = ['red', 'tan', 'lime'] ax0.hist(x, n_bins, normed=1, histtype='bar', color=colors, label=colors) ax0.legend(prop={'size': 10}) ax0.set_title('bars with legend') ax1.hist(x, n_bins, normed=1, histtype='bar', stacked=True) ax1.set_title('stacked bar') ax2.hist(x, n_bins, histtype='step', stacked=True, fill=False) ax2.set_title('stack step (unfilled)') # Make a multiple-histogram of data-sets with different length. x_multi = [np.random.randn(n) for n in [10000, 5000, 2000]] ax3.hist(x_multi, n_bins, histtype='bar') ax3.set_title('different sample sizes') fig.tight_layout() plt.show() Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)