.. _statistics-histogram_demo_multihist: statistics example code: histogram_demo_multihist.py ==================================================== .. plot:: /home/tcaswell/source/my_source/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 a color fill * Data sets of different sample sizes """ import numpy as np import matplotlib.pyplot as plt n_bins = 10 x = np.random.randn(1000, 3) fig, axes = plt.subplots(nrows=2, ncols=2) ax0, ax1, ax2, ax3 = axes.flat 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=True) ax2.set_title('stepfilled') # 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') plt.tight_layout() plt.show() Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)