.. _sphx_glr_gallery_mplot3d_voxels_rgb.py: ========================================== 3D voxel / volumetric plot with rgb colors ========================================== Demonstrates using ``ax.voxels`` to visualize parts of a color space .. image:: /gallery/mplot3d/images/sphx_glr_voxels_rgb_001.png :align: center .. code-block:: python import matplotlib.pyplot as plt import numpy as np from mpl_toolkits.mplot3d import Axes3D def midpoints(x): sl = () for i in range(x.ndim): x = (x[sl + np.index_exp[:-1]] + x[sl + np.index_exp[1:]]) / 2.0 sl += np.index_exp[:] return x # prepare some coordinates, and attach rgb values to each r, g, b = np.indices((17, 17, 17)) / 16.0 rc = midpoints(r) gc = midpoints(g) bc = midpoints(b) # define a sphere about [0.5, 0.5, 0.5] sphere = (rc - 0.5)**2 + (gc - 0.5)**2 + (bc - 0.5)**2 < 0.5**2 # combine the color components colors = np.zeros(sphere.shape + (3,)) colors[..., 0] = rc colors[..., 1] = gc colors[..., 2] = bc # and plot everything fig = plt.figure() ax = fig.gca(projection='3d') ax.voxels(r, g, b, sphere, facecolors=colors, edgecolors=np.clip(2*colors - 0.5, 0, 1), # brighter linewidth=0.5) ax.set(xlabel='r', ylabel='g', zlabel='b') plt.show() .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: voxels_rgb.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: voxels_rgb.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_