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      "source": [
        "\n# Scales on 3D (Log, Symlog, etc.)\n\nDemonstrate how to use non-linear scales such as logarithmic scales on 3D axes.\n\n3D axes support the same axis scales as 2D plots: 'linear', 'log', 'symlog',\n'logit', 'asinh', and custom 'function' scales. This example shows a mix of\nscales: linear on X, log on Y, and symlog on Z.\n\nFor a complete list of built-in scales, see `matplotlib.scale`. For an overview\nof scale transformations, see :doc:`/gallery/scales/scales`.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\n# A sine chirp with increasing frequency and amplitude\nx = np.linspace(0, 1, 400)  # time\ny = 10 ** (2 * x)  # frequency, growing exponentially from 1 to 100 Hz\nphase = 2 * np.pi * (10 ** (2 * x) - 1) / (2 * np.log(10))\nz = np.sin(phase) * x **2 * 10  # amplitude, growing quadratically\n\nfig = plt.figure()\nax = fig.add_subplot(projection='3d')\nax.plot(x, y, z)\n\nax.set_xlabel('Time (linear)')\nax.set_ylabel('Frequency, Hz (log)')\nax.set_zlabel('Amplitude (symlog)')\n\nax.set_yscale('log')\nax.set_zscale('symlog')\n\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        ".. admonition:: References\n\n   The use of the following functions, methods, classes and modules is shown\n   in this example:\n\n   - `mpl_toolkits.mplot3d.axes3d.Axes3D.set_xscale`\n   - `mpl_toolkits.mplot3d.axes3d.Axes3D.set_yscale`\n   - `mpl_toolkits.mplot3d.axes3d.Axes3D.set_zscale`\n   - `matplotlib.scale`\n\n.. tags::\n   plot-type: 3D,\n   level: beginner\n\n"
      ]
    }
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