
.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/statistics/boxplot.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        Click :ref:`here <sphx_glr_download_gallery_statistics_boxplot.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_statistics_boxplot.py:


=================================
Artist customization in box plots
=================================

This example demonstrates how to use the various keyword arguments to fully
customize box plots. 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. It also demonstrates how to set the limit of the whiskers to
specific percentiles (lower right axes)

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

.. GENERATED FROM PYTHON SOURCE LINES 17-27

.. code-block:: default


    import numpy as np
    import matplotlib.pyplot as plt

    # fake data
    np.random.seed(19680801)
    data = np.random.lognormal(size=(37, 4), mean=1.5, sigma=1.75)
    labels = list('ABCD')
    fs = 10  # fontsize








.. GENERATED FROM PYTHON SOURCE LINES 28-29

Demonstrate how to toggle the display of different elements:

.. GENERATED FROM PYTHON SOURCE LINES 29-58

.. code-block:: default


    fig, axs = plt.subplots(nrows=2, ncols=3, figsize=(6, 6), sharey=True)
    axs[0, 0].boxplot(data, labels=labels)
    axs[0, 0].set_title('Default', fontsize=fs)

    axs[0, 1].boxplot(data, labels=labels, showmeans=True)
    axs[0, 1].set_title('showmeans=True', fontsize=fs)

    axs[0, 2].boxplot(data, labels=labels, showmeans=True, meanline=True)
    axs[0, 2].set_title('showmeans=True,\nmeanline=True', fontsize=fs)

    axs[1, 0].boxplot(data, labels=labels, showbox=False, showcaps=False)
    tufte_title = 'Tufte Style \n(showbox=False,\nshowcaps=False)'
    axs[1, 0].set_title(tufte_title, fontsize=fs)

    axs[1, 1].boxplot(data, labels=labels, notch=True, bootstrap=10000)
    axs[1, 1].set_title('notch=True,\nbootstrap=10000', fontsize=fs)

    axs[1, 2].boxplot(data, labels=labels, showfliers=False)
    axs[1, 2].set_title('showfliers=False', fontsize=fs)

    for ax in axs.flat:
        ax.set_yscale('log')
        ax.set_yticklabels([])

    fig.subplots_adjust(hspace=0.4)
    plt.show()





.. image-sg:: /gallery/statistics/images/sphx_glr_boxplot_001.png
   :alt: Default, showmeans=True, showmeans=True, meanline=True, Tufte Style  (showbox=False, showcaps=False), notch=True, bootstrap=10000, showfliers=False
   :srcset: /gallery/statistics/images/sphx_glr_boxplot_001.png, /gallery/statistics/images/sphx_glr_boxplot_001_2_0x.png 2.0x
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 59-60

Demonstrate how to customize the display different elements:

.. GENERATED FROM PYTHON SOURCE LINES 60-98

.. code-block:: default


    boxprops = dict(linestyle='--', linewidth=3, color='darkgoldenrod')
    flierprops = dict(marker='o', markerfacecolor='green', markersize=12,
                      markeredgecolor='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, axs = plt.subplots(nrows=2, ncols=3, figsize=(6, 6), sharey=True)
    axs[0, 0].boxplot(data, boxprops=boxprops)
    axs[0, 0].set_title('Custom boxprops', fontsize=fs)

    axs[0, 1].boxplot(data, flierprops=flierprops, medianprops=medianprops)
    axs[0, 1].set_title('Custom medianprops\nand flierprops', fontsize=fs)

    axs[0, 2].boxplot(data, whis=(0, 100))
    axs[0, 2].set_title('whis=(0, 100)', fontsize=fs)

    axs[1, 0].boxplot(data, meanprops=meanpointprops, meanline=False,
                      showmeans=True)
    axs[1, 0].set_title('Custom mean\nas point', fontsize=fs)

    axs[1, 1].boxplot(data, meanprops=meanlineprops, meanline=True,
                      showmeans=True)
    axs[1, 1].set_title('Custom mean\nas line', fontsize=fs)

    axs[1, 2].boxplot(data, whis=[15, 85])
    axs[1, 2].set_title('whis=[15, 85]\n#percentiles', fontsize=fs)

    for ax in axs.flat:
        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-sg:: /gallery/statistics/images/sphx_glr_boxplot_002.png
   :alt: I never said they'd be pretty, Custom boxprops, Custom medianprops and flierprops, whis=(0, 100), Custom mean as point, Custom mean as line, whis=[15, 85] #percentiles
   :srcset: /gallery/statistics/images/sphx_glr_boxplot_002.png, /gallery/statistics/images/sphx_glr_boxplot_002_2_0x.png 2.0x
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 99-105

.. admonition:: References

   The use of the following functions, methods, classes and modules is shown
   in this example:

   - `matplotlib.axes.Axes.boxplot` / `matplotlib.pyplot.boxplot`


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  1.488 seconds)


.. _sphx_glr_download_gallery_statistics_boxplot.py:


.. only :: html

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



  .. container:: sphx-glr-download sphx-glr-download-python

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



  .. container:: sphx-glr-download sphx-glr-download-jupyter

     :download:`Download Jupyter notebook: boxplot.ipynb <boxplot.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>`_
