{
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      "source": [
        "\n# Image nonuniform\n\nThis illustrates the NonUniformImage class.  It is not\navailable via an Axes method, but it is easily added to an\nAxes instance as shown here.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\nfrom matplotlib import cm\nfrom matplotlib.image import NonUniformImage\n\ninterp = 'nearest'\n\n# Linear x array for cell centers:\nx = np.linspace(-4, 4, 9)\n\n# Highly nonlinear x array:\nx2 = x**3\n\ny = np.linspace(-4, 4, 9)\n\nz = np.sqrt(x[np.newaxis, :]**2 + y[:, np.newaxis]**2)\n\nfig, axs = plt.subplots(nrows=2, ncols=2, layout='constrained')\nfig.suptitle('NonUniformImage class', fontsize='large')\nax = axs[0, 0]\nim = NonUniformImage(ax, interpolation=interp, extent=(-4, 4, -4, 4),\n                     cmap=cm.Purples)\nim.set_data(x, y, z)\nax.add_image(im)\nax.set_xlim(-4, 4)\nax.set_ylim(-4, 4)\nax.set_title(interp)\n\nax = axs[0, 1]\nim = NonUniformImage(ax, interpolation=interp, extent=(-64, 64, -4, 4),\n                     cmap=cm.Purples)\nim.set_data(x2, y, z)\nax.add_image(im)\nax.set_xlim(-64, 64)\nax.set_ylim(-4, 4)\nax.set_title(interp)\n\ninterp = 'bilinear'\n\nax = axs[1, 0]\nim = NonUniformImage(ax, interpolation=interp, extent=(-4, 4, -4, 4),\n                     cmap=cm.Purples)\nim.set_data(x, y, z)\nax.add_image(im)\nax.set_xlim(-4, 4)\nax.set_ylim(-4, 4)\nax.set_title(interp)\n\nax = axs[1, 1]\nim = NonUniformImage(ax, interpolation=interp, extent=(-64, 64, -4, 4),\n                     cmap=cm.Purples)\nim.set_data(x2, y, z)\nax.add_image(im)\nax.set_xlim(-64, 64)\nax.set_ylim(-4, 4)\nax.set_title(interp)\n\nplt.show()"
      ]
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