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      "source": [
        "\n# Grid Data Using Xradar and Py-ART\n\nAn example which uses xradar and Py-ART to grid a PPI file.\n"
      ]
    },
    {
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      "source": [
        "# Author: Max Grover (mgrover@anl.gov)\n# License: BSD 3 clause\n\n\nimport xradar as xd\n\nimport pyart\nfrom pyart.testing import get_test_data\n\n# Locate the test data and read in using xradar\nfilename = get_test_data(\"swx_20120520_0641.nc\")\ntree = xd.io.open_cfradial1_datatree(filename)\n\n# Give the tree Py-ART radar methods\nradar = tree.pyart.to_radar()\n\n# Grid using 11 vertical levels, and 101 horizontal grid cells at a resolution on 1 km\ngrid = pyart.map.grid_from_radars(\n    (radar,),\n    grid_shape=(11, 101, 101),\n    grid_limits=(\n        (0.0, 10_000),\n        (-50_000.0, 50_000.0),\n        (-50_000, 50_000.0),\n    ),\n)\n\ndisplay = pyart.graph.GridMapDisplay(grid)\ndisplay.plot_grid(\n    \"reflectivity_horizontal\", level=0, vmin=-20, vmax=60, cmap=\"pyart_ChaseSpectral\"\n)"
      ]
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