{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Multidimensional cross sections\n\nIn this example, the VISST data are used to\nplot up cross-sectional slices through the\nmulti-dimensional dataset\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nfrom arm_test_data import DATASETS\n\nimport act\n\nfilename_visst = DATASETS.fetch('twpvisstgridirtemp.c1.20050705.002500.nc')\nmy_ds = act.io.arm.read_arm_netcdf(filename_visst)\n\n# Cross section display requires that the variable being plotted be reduced to two\n# Dimensions whose coordinates can be specified by variables in the file\ndisplay = act.plotting.XSectionDisplay(my_ds, figsize=(20, 8), subplot_shape=(2, 2))\ndisplay.plot_xsection_map(\n    'ir_temperature',\n    None,\n    x='longitude',\n    y='latitude',\n    cmap='Greys',\n    vmin=200,\n    vmax=320,\n    subplot_index=(0, 0),\n)\ndisplay.plot_xsection_map(\n    'ir_temperature',\n    None,\n    x='longitude',\n    y='latitude',\n    cmap='Greys',\n    vmin=200,\n    vmax=320,\n    subplot_index=(1, 0),\n)\ndisplay.plot_xsection_map(\n    'ir_temperature',\n    None,\n    x='longitude',\n    y='latitude',\n    cmap='Greys',\n    vmin=200,\n    vmax=320,\n    subplot_index=(0, 1),\n)\ndisplay.plot_xsection_map(\n    'ir_temperature',\n    None,\n    x='longitude',\n    y='latitude',\n    cmap='Greys',\n    vmin=200,\n    vmax=320,\n    subplot_index=(1, 1),\n)\n\nplt.show()\nmy_ds.close()"
      ]
    }
  ],
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      "file_extension": ".py",
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