

.. _sphx_glr_gallery_mplot3d_contour3d_3.py:


========================================
Projecting contour profiles onto a graph
========================================

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

See contourf3d_demo2 for the filled version.




.. image:: /gallery/mplot3d/images/sphx_glr_contour3d_3_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.contour(X, Y, Z, zdir='z', offset=-100, cmap=cm.coolwarm)
    cset = ax.contour(X, Y, Z, zdir='x', offset=-40, cmap=cm.coolwarm)
    cset = ax.contour(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  0.202 seconds)



.. only :: html

 .. container:: sphx-glr-footer


  .. container:: sphx-glr-download

     :download:`Download Python source code: contour3d_3.py <contour3d_3.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: contour3d_3.ipynb <contour3d_3.ipynb>`


.. only:: html

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

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