.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "_examples\matplotlib\plot_main10_violin_cmap.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        Click :ref:`here <sphx_glr_download__examples_matplotlib_plot_main10_violin_cmap.py>`
        to download the full example code

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

.. _sphx_glr__examples_matplotlib_plot_main10_violin_cmap.py:


10. Violin plot with linear colormap
============================================

This script demonstrates a clever technique for creating a violin
plot where the fill color is a continuous, linear colormap mapped
to the y-axis values. 🎻

Instead of using a simple solid fill, it uses the paths of the
violin bodies as clipping masks. An ``imshow`` gradient is then
displayed underneath, making it visible only within the violin
shapes. A corresponding colorbar is added to complete the
visualization.

.. GENERATED FROM PYTHON SOURCE LINES 16-56



.. image-sg:: /_examples/matplotlib/images/sphx_glr_plot_main10_violin_cmap_001.png
   :alt: plot main10 violin cmap
   :srcset: /_examples/matplotlib/images/sphx_glr_plot_main10_violin_cmap_001.png
   :class: sphx-glr-single-img


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

 Out:

 .. code-block:: none

    C:\Users\kelda\Desktop\repositories\github\python-spare-code\main\examples\matplotlib\plot_main10_violin_cmap.py:52: MatplotlibDeprecationWarning:

    The get_cmap function was deprecated in Matplotlib 3.7 and will be removed in 3.11. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap()`` or ``pyplot.get_cmap()`` instead.

    C:\Users\kelda\Desktop\repositories\github\python-spare-code\main\examples\matplotlib\plot_main10_violin_cmap.py:56: UserWarning:

    FigureCanvasAgg is non-interactive, and thus cannot be shown







|

.. code-block:: default
   :lineno-start: 17


    # ``mpl.violin``

    import matplotlib
    import numpy as np
    import matplotlib.pyplot as plt
    from matplotlib.path import Path
    from matplotlib.patches import PathPatch
    from mpl_toolkits.axes_grid1.axes_divider import make_axes_locatable


    x = [np.random.normal(loc=i, scale=1, size=(100,)) for i in range(5)]

    fig, ax = plt.subplots()
    violins = ax.violinplot(x)

    ymin, ymax = ax.get_ylim()
    xmin, xmax = ax.get_xlim()

    # create a numpy image to use as a gradient
    Nx,Ny=1,1000
    imgArr = np.tile(np.linspace(0,1,Ny), (Nx,1)).T
    cmap = 'hsv'

    for violin in violins['bodies']:
        path = Path(violin.get_paths()[0].vertices)
        patch = PathPatch(path, facecolor='none', edgecolor='none')
        ax.add_patch(patch)
        img = ax.imshow(imgArr, origin="lower", extent=[xmin,xmax,ymin,ymax], aspect="auto",
                        cmap=cmap,
                        clip_path=patch)

    # colorbar
    ax_divider = make_axes_locatable(ax)
    cax = ax_divider.append_axes("right", size="5%", pad="2%")
    norm = matplotlib.colors.Normalize(vmin=ymin, vmax=ymax)
    cb = matplotlib.colorbar.ColorbarBase(cax, cmap=matplotlib.cm.get_cmap(cmap),
                                    norm=norm,
                                    orientation='vertical')

    plt.show()

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

   **Total running time of the script:** ( 0 minutes  0.246 seconds)


.. _sphx_glr_download__examples_matplotlib_plot_main10_violin_cmap.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: plot_main10_violin_cmap.py <plot_main10_violin_cmap.py>`



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

     :download:`Download Jupyter notebook: plot_main10_violin_cmap.ipynb <plot_main10_violin_cmap.ipynb>`


.. only:: html

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

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_