.. note::
    :class: sphx-glr-download-link-note

    Click :ref:`here <sphx_glr_download_gallery_statistics_bxp.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_statistics_bxp.py:


=======================
Boxplot drawer function
=======================

This example demonstrates how to pass pre-computed box plot
statistics to the box plot drawer. The first figure demonstrates
how to remove and add individual components (note that the
mean is the only value not shown by default). The second
figure demonstrates how the styles of the artists can
be customized.

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



.. code-block:: python


    import numpy as np
    import matplotlib.pyplot as plt
    import matplotlib.cbook as cbook

    # fake data
    np.random.seed(19680801)
    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



.. code-block:: python


    for n in range(len(stats)):
        stats[n]['med'] = np.median(data)
        stats[n]['mean'] *= 2

    print(list(stats[0]))

    fs = 10  # fontsize





.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    ['label', 'mean', 'iqr', 'cilo', 'cihi', 'whishi', 'whislo', 'fliers', 'q1', 'med', 'q3']


Demonstrate how to toggle the display of different elements:



.. code-block:: python


    fig, axes = plt.subplots(nrows=2, ncols=3, figsize=(6, 6), sharey=True)
    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)
    tufte_title = 'Tufte Style\n(showbox=False,\nshowcaps=False)'
    axes[1, 0].set_title(tufte_title, 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()




.. image:: /gallery/statistics/images/sphx_glr_bxp_001.png
    :class: sphx-glr-single-img




Demonstrate how to customize the display different elements:



.. code-block:: python


    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), sharey=True)
    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()



.. image:: /gallery/statistics/images/sphx_glr_bxp_002.png
    :class: sphx-glr-single-img





.. _sphx_glr_download_gallery_statistics_bxp.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

    Keywords: matplotlib code example, codex, python plot, pyplot
    `Gallery generated by Sphinx-Gallery
    <https://sphinx-gallery.readthedocs.io>`_