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

    Click :ref:`here <sphx_glr_download_gallery_mplot3d_bars3d.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_mplot3d_bars3d.py:


========================================
Create 2D bar graphs in different planes
========================================

Demonstrates making a 3D plot which has 2D bar graphs projected onto
planes y=0, y=1, etc.




.. image:: /gallery/mplot3d/images/sphx_glr_bars3d_001.png
    :class: sphx-glr-single-img





.. code-block:: python


    from mpl_toolkits.mplot3d import Axes3D
    import matplotlib.pyplot as plt
    import numpy as np

    # Fixing random state for reproducibility
    np.random.seed(19680801)


    fig = plt.figure()
    ax = fig.add_subplot(111, projection='3d')

    colors = ['r', 'g', 'b', 'y']
    yticks = [3, 2, 1, 0]
    for c, k in zip(colors, yticks):
        # Generate the random data for the y=k 'layer'.
        xs = np.arange(20)
        ys = np.random.rand(20)

        # You can provide either a single color or an array with the same length as
        # xs and ys. To demonstrate this, we color the first bar of each set cyan.
        cs = [c] * len(xs)
        cs[0] = 'c'

        # Plot the bar graph given by xs and ys on the plane y=k with 80% opacity.
        ax.bar(xs, ys, zs=k, zdir='y', color=cs, alpha=0.8)

    ax.set_xlabel('X')
    ax.set_ylabel('Y')
    ax.set_zlabel('Z')

    # On the y axis let's only label the discrete values that we have data for.
    ax.set_yticks(yticks)

    plt.show()


.. _sphx_glr_download_gallery_mplot3d_bars3d.py:


.. only :: html

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



  .. container:: sphx-glr-download

     :download:`Download Python source code: bars3d.py <bars3d.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: bars3d.ipynb <bars3d.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>`_
