.. _statistics-boxplot_color_demo:

statistics example code: boxplot_color_demo.py
==============================================



.. plot:: /home/tcaswell/source/my_source/matplotlib/doc/mpl_examples/statistics/boxplot_color_demo.py

::

    # Box plots with custom fill colors
    
    import matplotlib.pyplot as plt
    import numpy as np
    
    # Random test data
    np.random.seed(123)
    all_data = [np.random.normal(0, std, 100) for std in range(1, 4)]
    
    fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12, 5))
    
    # rectangular box plot
    bplot1 = axes[0].boxplot(all_data,
                             vert=True,   # vertical box aligmnent
                             patch_artist=True)   # fill with color
    
    # notch shape box plot
    bplot2 = axes[1].boxplot(all_data,
                             notch=True,  # notch shape
                             vert=True,   # vertical box aligmnent
                             patch_artist=True)   # fill with color
    
    # fill with colors
    colors = ['pink', 'lightblue', 'lightgreen']
    for bplot in (bplot1, bplot2):
        for patch, color in zip(bplot['boxes'], colors):
            patch.set_facecolor(color)
    
    # adding horizontal grid lines
    for ax in axes:
        ax.yaxis.grid(True)
        ax.set_xticks([y+1 for y in range(len(all_data))], )
        ax.set_xlabel('xlabel')
        ax.set_ylabel('ylabel')
    
    # add x-tick labels
    plt.setp(axes, xticks=[y+1 for y in range(len(all_data))],
             xticklabels=['x1', 'x2', 'x3', 'x4'])
    
    plt.show()
    

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