{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# 3D voxel plot of the NumPy logo\n\nDemonstrates using `.Axes3D.voxels` with uneven coordinates.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\n\ndef explode(data):\n    size = np.array(data.shape)*2\n    data_e = np.zeros(size - 1, dtype=data.dtype)\n    data_e[::2, ::2, ::2] = data\n    return data_e\n\n# build up the numpy logo\nn_voxels = np.zeros((4, 3, 4), dtype=bool)\nn_voxels[0, 0, :] = True\nn_voxels[-1, 0, :] = True\nn_voxels[1, 0, 2] = True\nn_voxels[2, 0, 1] = True\nfacecolors = np.where(n_voxels, '#FFD65DC0', '#7A88CCC0')\nedgecolors = np.where(n_voxels, '#BFAB6E', '#7D84A6')\nfilled = np.ones(n_voxels.shape)\n\n# upscale the above voxel image, leaving gaps\nfilled_2 = explode(filled)\nfcolors_2 = explode(facecolors)\necolors_2 = explode(edgecolors)\n\n# Shrink the gaps\nx, y, z = np.indices(np.array(filled_2.shape) + 1).astype(float) // 2\nx[0::2, :, :] += 0.05\ny[:, 0::2, :] += 0.05\nz[:, :, 0::2] += 0.05\nx[1::2, :, :] += 0.95\ny[:, 1::2, :] += 0.95\nz[:, :, 1::2] += 0.95\n\nax = plt.figure().add_subplot(projection='3d')\nax.voxels(x, y, z, filled_2, facecolors=fcolors_2, edgecolors=ecolors_2)\nax.set_aspect('equal')\n\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        ".. tags::\n   plot-type: 3D,\n   level: beginner,\n   purpose: fun\n\n"
      ]
    }
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