.. _statistics-histogram_demo_multihist:

statistics example code: histogram_demo_multihist.py
====================================================



.. plot:: /home/tcaswell/source/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`)