{
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    {
      "cell_type": "code",
      "execution_count": null,
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      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Contourlines 2D plot\n\nThis demo shows how to display contour lines in an ``itom.plot2``.\n\nThe contour levels can be set via the ``contourLevels`` property.\nThe expected type is a ``dataObject`` of shape ``1 x N`` of type\n``uint8``, ``int8``, ``uint16``, ``int16``, ``int32``,\n``float32`` or ``float64``. The line width and color map can\nbe adjusted by setting the property ``contourLineWidth`` and\n``contourColorMap`` respectively.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import numpy as np\nfrom itom import dataObject\nfrom itom import plot\n\nvec = np.linspace(-500, 501, 1001)\nx, y = np.meshgrid(vec, vec)\nr = np.sqrt(x ** 2 + y ** 2)\n\n[idx, handle] = plot(r)\nlevels = dataObject.randN([1, 3], \"uint8\")\nlevels[0, 0] = 50\nlevels[0, 1] = 75\nlevels[0, 2] = 250\n\nhandle[\"contourLevels\"] = levels\nhandle[\"contourColorMap\"] = \"hotIron\"\nhandle[\"contourLineWidth\"] = 5"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "<img src=\"file://../../_static/demoContourLine2DPlot_1.png\" width=\"100%\">\n"
      ]
    }
  ],
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