.. _statistics-bxp_demo:

statistics example code: bxp_demo.py
====================================



.. plot:: /home/travis/build/jenshnielsen/matplotlib/doc/mpl_examples/statistics/bxp_demo.py

::

    """
    Demo of the new boxplot drawer function
    """
    
    import numpy as np
    import matplotlib.pyplot as plt
    import matplotlib.cbook as cbook
    
    # fake data
    np.random.seed(937)
    data = np.random.lognormal(size=(37, 4), mean=1.5, sigma=1.75)
    labels = list('ABCD')
    
    # compute the boxplot stats
    stats = cbook.boxplot_stats(data, labels=labels, bootstrap=10000)
    # After we've computed the stats, we can go through and change anything.
    # Just to prove it, I'll set the median of each set to the median of all
    # the data, and double the means
    for n in range(len(stats)):
        stats[n]['med'] = np.median(data)
        stats[n]['mean'] *= 2
    
    print(stats[0].keys())
    fs = 10  # fontsize
    
    # demonstrate how to toggle the display of different elements:
    fig, axes = plt.subplots(nrows=2, ncols=3, figsize=(6, 6))
    axes[0, 0].bxp(stats)
    axes[0, 0].set_title('Default', fontsize=fs)
    
    axes[0, 1].bxp(stats, showmeans=True)
    axes[0, 1].set_title('showmeans=True', fontsize=fs)
    
    axes[0, 2].bxp(stats, showmeans=True, meanline=True)
    axes[0, 2].set_title('showmeans=True,\nmeanline=True', fontsize=fs)
    
    axes[1, 0].bxp(stats, showbox=False, showcaps=False)
    axes[1, 0].set_title('Tufte Style\n(showbox=False,\nshowcaps=False)', fontsize=fs)
    
    axes[1, 1].bxp(stats, shownotches=True)
    axes[1, 1].set_title('notch=True', fontsize=fs)
    
    axes[1, 2].bxp(stats, showfliers=False)
    axes[1, 2].set_title('showfliers=False', fontsize=fs)
    
    for ax in axes.flatten():
        ax.set_yscale('log')
        ax.set_yticklabels([])
    
    fig.subplots_adjust(hspace=0.4)
    plt.show()
    
    
    # demonstrate how to customize the display different elements:
    boxprops = dict(linestyle='--', linewidth=3, color='darkgoldenrod')
    flierprops = dict(marker='o', markerfacecolor='green', markersize=12,
                      linestyle='none')
    medianprops = dict(linestyle='-.', linewidth=2.5, color='firebrick')
    meanpointprops = dict(marker='D', markeredgecolor='black',
                          markerfacecolor='firebrick')
    meanlineprops = dict(linestyle='--', linewidth=2.5, color='purple')
    
    fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(6, 6))
    axes[0, 0].bxp(stats, boxprops=boxprops)
    axes[0, 0].set_title('Custom boxprops', fontsize=fs)
    
    axes[0, 1].bxp(stats, flierprops=flierprops, medianprops=medianprops)
    axes[0, 1].set_title('Custom medianprops\nand flierprops', fontsize=fs)
    
    axes[1, 0].bxp(stats, meanprops=meanpointprops, meanline=False,
                   showmeans=True)
    axes[1, 0].set_title('Custom mean\nas point', fontsize=fs)
    
    axes[1, 1].bxp(stats, meanprops=meanlineprops, meanline=True, showmeans=True)
    axes[1, 1].set_title('Custom mean\nas line', fontsize=fs)
    
    for ax in axes.flatten():
        ax.set_yscale('log')
        ax.set_yticklabels([])
    
    fig.suptitle("I never said they'd be pretty")
    fig.subplots_adjust(hspace=0.4)
    plt.show()
    

Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)