.. _sphx_glr_gallery_mplot3d_custom_shaded_3d_surface.py: ======================================= Custom hillshading in a 3D surface plot ======================================= Demonstrates using custom hillshading in a 3D surface plot. .. image:: /gallery/mplot3d/images/sphx_glr_custom_shaded_3d_surface_001.png :align: center .. code-block:: python 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 0.513 seconds) .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: custom_shaded_3d_surface.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: custom_shaded_3d_surface.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_