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# 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.

    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 0.167 seconds)

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