.. _statistics-histogram_demo_histtypes:

statistics example code: histogram_demo_histtypes.py
====================================================



.. plot:: /build/matplotlib-2.0.0+dfsg1/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`)