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    {
      "cell_type": "markdown",
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      "source": [
        "\n# Triangular 3D surfaces\n\nPlot a 3D surface with a triangular mesh.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\nn_radii = 8\nn_angles = 36\n\n# Make radii and angles spaces (radius r=0 omitted to eliminate duplication).\nradii = np.linspace(0.125, 1.0, n_radii)\nangles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)[..., np.newaxis]\n\n# Convert polar (radii, angles) coords to cartesian (x, y) coords.\n# (0, 0) is manually added at this stage,  so there will be no duplicate\n# points in the (x, y) plane.\nx = np.append(0, (radii*np.cos(angles)).flatten())\ny = np.append(0, (radii*np.sin(angles)).flatten())\n\n# Compute z to make the pringle surface.\nz = np.sin(-x*y)\n\nax = plt.figure().add_subplot(projection='3d')\n\nax.plot_trisurf(x, y, z, linewidth=0.2, antialiased=True)\n\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        ".. tags::\n   plot-type: 3D,\n   level: intermediate\n\n"
      ]
    }
  ],
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