

.. _sphx_glr_gallery_mplot3d_contourf3d_2.py:


======================================
Projecting filled contour onto a graph
======================================

Demonstrates displaying a 3D surface while also projecting filled contour
'profiles' onto the 'walls' of the graph.

See contour3d_demo2 for the unfilled version.




.. image:: /gallery/mplot3d/images/sphx_glr_contourf3d_2_001.png
    :align: center





.. code-block:: python


    from mpl_toolkits.mplot3d import axes3d
    import matplotlib.pyplot as plt
    from matplotlib import cm

    fig = plt.figure()
    ax = fig.gca(projection='3d')
    X, Y, Z = axes3d.get_test_data(0.05)

    # Plot the 3D surface
    ax.plot_surface(X, Y, Z, rstride=8, cstride=8, alpha=0.3)

    # Plot projections of the contours for each dimension.  By choosing offsets
    # that match the appropriate axes limits, the projected contours will sit on
    # the 'walls' of the graph
    cset = ax.contourf(X, Y, Z, zdir='z', offset=-100, cmap=cm.coolwarm)
    cset = ax.contourf(X, Y, Z, zdir='x', offset=-40, cmap=cm.coolwarm)
    cset = ax.contourf(X, Y, Z, zdir='y', offset=40, cmap=cm.coolwarm)

    ax.set_xlim(-40, 40)
    ax.set_ylim(-40, 40)
    ax.set_zlim(-100, 100)

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

    plt.show()

**Total running time of the script:** ( 0 minutes  0.118 seconds)



.. container:: sphx-glr-footer


  .. container:: sphx-glr-download

     :download:`Download Python source code: contourf3d_2.py <contourf3d_2.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: contourf3d_2.ipynb <contourf3d_2.ipynb>`

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

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