

.. _sphx_glr_gallery_mplot3d_voxels_numpy_logo.py:


===============================
3D voxel plot of the numpy logo
===============================

Demonstrates using ``ax.voxels`` with uneven coordinates




.. image:: /gallery/mplot3d/images/sphx_glr_voxels_numpy_logo_001.png
    :align: center





.. code-block:: python

    import matplotlib.pyplot as plt
    import numpy as np
    from mpl_toolkits.mplot3d import Axes3D


    def explode(data):
        size = np.array(data.shape)*2
        data_e = np.zeros(size - 1, dtype=data.dtype)
        data_e[::2, ::2, ::2] = data
        return data_e

    # build up the numpy logo
    n_voxels = np.zeros((4, 3, 4), dtype=bool)
    n_voxels[0, 0, :] = True
    n_voxels[-1, 0, :] = True
    n_voxels[1, 0, 2] = True
    n_voxels[2, 0, 1] = True
    facecolors = np.where(n_voxels, '#FFD65DC0', '#7A88CCC0')
    edgecolors = np.where(n_voxels, '#BFAB6E', '#7D84A6')
    filled = np.ones(n_voxels.shape)

    # upscale the above voxel image, leaving gaps
    filled_2 = explode(filled)
    fcolors_2 = explode(facecolors)
    ecolors_2 = explode(edgecolors)

    # Shrink the gaps
    x, y, z = np.indices(np.array(filled_2.shape) + 1).astype(float) // 2
    x[0::2, :, :] += 0.05
    y[:, 0::2, :] += 0.05
    z[:, :, 0::2] += 0.05
    x[1::2, :, :] += 0.95
    y[:, 1::2, :] += 0.95
    z[:, :, 1::2] += 0.95

    fig = plt.figure()
    ax = fig.gca(projection='3d')
    ax.voxels(x, y, z, filled_2, facecolors=fcolors_2, edgecolors=ecolors_2)

    plt.show()

**Total running time of the script:** ( 0 minutes  0.084 seconds)



.. only :: html

 .. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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