

.. _sphx_glr_gallery_statistics_boxplot_color.py:


=================================
Box plots with custom fill colors
=================================

This plot illustrates how to create two types of box plots
(rectangular and notched), and how to fill them with custom
colors by accessing the properties of the artists of the
box plots. Additionally, the ``labels`` parameter is used to
provide x-tick labels for each sample.

A good general reference on boxplots and their history can be found
here: http://vita.had.co.nz/papers/boxplots.pdf




.. image:: /gallery/statistics/images/sphx_glr_boxplot_color_001.png
    :align: center





.. code-block:: python


    import matplotlib.pyplot as plt
    import numpy as np

    # Random test data
    np.random.seed(19680801)
    all_data = [np.random.normal(0, std, size=100) for std in range(1, 4)]
    labels = ['x1', 'x2', 'x3']

    fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(9, 4))

    # rectangular box plot
    bplot1 = axes[0].boxplot(all_data,
                             vert=True,  # vertical box alignment
                             patch_artist=True,  # fill with color
                             labels=labels)  # will be used to label x-ticks
    axes[0].set_title('Rectangular box plot')

    # notch shape box plot
    bplot2 = axes[1].boxplot(all_data,
                             notch=True,  # notch shape
                             vert=True,  # vertical box alignment
                             patch_artist=True,  # fill with color
                             labels=labels)  # will be used to label x-ticks
    axes[1].set_title('Notched box plot')

    # 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_xlabel('Three separate samples')
        ax.set_ylabel('Observed values')

    plt.show()

**Total running time of the script:** ( 0 minutes  0.086 seconds)



.. container:: sphx-glr-footer


  .. container:: sphx-glr-download

     :download:`Download Python source code: boxplot_color.py <boxplot_color.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: boxplot_color.ipynb <boxplot_color.ipynb>`

.. rst-class:: sphx-glr-signature

    `Generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_
