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# Custom hillshading in a 3D surface plot

Demonstrates using custom hillshading in a 3D surface plot.

    from mpl_toolkits.mplot3d import Axes3D
    from matplotlib import cbook
    from matplotlib import cm
    from matplotlib.colors import LightSource
    import matplotlib.pyplot as plt
    import numpy as np

    # Load and format data
    filename = cbook.get_sample_data('jacksboro_fault_dem.npz', asfileobj=False)
    with np.load(filename) as dem:
        z = dem['elevation']
        nrows, ncols = z.shape
        x = np.linspace(dem['xmin'], dem['xmax'], ncols)
        y = np.linspace(dem['ymin'], dem['ymax'], nrows)
        x, y = np.meshgrid(x, y)

    region = np.s_[5:50, 5:50]
    x, y, z = x[region], y[region], z[region]

    # Set up plot
    fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))

    ls = LightSource(270, 45)
    # To use a custom hillshading mode, override the built-in shading and pass
    # in the rgb colors of the shaded surface calculated from "shade".
    rgb = ls.shade(z, cmap=cm.gist_earth, vert_exag=0.1, blend_mode='soft')
    surf = ax.plot_surface(x, y, z, rstride=1, cstride=1, facecolors=rgb,
                           linewidth=0, antialiased=False, shade=False)

    plt.show()

Total running time of the script: ( 0 minutes 0.899 seconds)

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