.. _statistics-boxplot_demo:

statistics example code: boxplot_demo.py
========================================



.. plot:: /build/tmp/matplotlib-1.4.2/doc/mpl_examples/statistics/boxplot_demo.py

::

    """
    Demo of the new boxplot functionality
    """
    
    import numpy as np
    import matplotlib.pyplot as plt
    
    # fake data
    np.random.seed(937)
    data = np.random.lognormal(size=(37, 4), mean=1.5, sigma=1.75)
    labels = list('ABCD')
    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].boxplot(data, labels=labels)
    axes[0, 0].set_title('Default', fontsize=fs)
    
    axes[0, 1].boxplot(data, labels=labels, showmeans=True)
    axes[0, 1].set_title('showmeans=True', fontsize=fs)
    
    axes[0, 2].boxplot(data, labels=labels, showmeans=True, meanline=True)
    axes[0, 2].set_title('showmeans=True,\nmeanline=True', fontsize=fs)
    
    axes[1, 0].boxplot(data, labels=labels, showbox=False, showcaps=False)
    axes[1, 0].set_title('Tufte Style \n(showbox=False,\nshowcaps=False)', fontsize=fs)
    
    axes[1, 1].boxplot(data, labels=labels, notch=True, bootstrap=10000)
    axes[1, 1].set_title('notch=True,\nbootstrap=10000', fontsize=fs)
    
    axes[1, 2].boxplot(data, labels=labels, 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=3, figsize=(6,6))
    axes[0, 0].boxplot(data, boxprops=boxprops)
    axes[0, 0].set_title('Custom boxprops', fontsize=fs)
    
    axes[0, 1].boxplot(data, flierprops=flierprops, medianprops=medianprops)
    axes[0, 1].set_title('Custom medianprops\nand flierprops', fontsize=fs)
    
    axes[0, 2].boxplot(data, whis='range')
    axes[0, 2].set_title('whis="range"', fontsize=fs)
    
    axes[1, 0].boxplot(data, meanprops=meanpointprops, meanline=False,
                       showmeans=True)
    axes[1, 0].set_title('Custom mean\nas point', fontsize=fs)
    
    axes[1, 1].boxplot(data, meanprops=meanlineprops, meanline=True, showmeans=True)
    axes[1, 1].set_title('Custom mean\nas line', fontsize=fs)
    
    axes[1, 2].boxplot(data, whis=[15, 85])
    axes[1, 2].set_title('whis=[15, 85]\n#percentiles', 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`)