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        "\n# Map a single radar to a Cartesian grid\n\nMap the reflectivity field of a single radar from Antenna coordinates to a\nCartesian grid.\n"
      ]
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      "source": [
        "print(__doc__)\n\n# Author: Jonathan J. Helmus (jhelmus@anl.gov)\n# License: BSD 3 clause\n\nimport matplotlib.pyplot as plt\nimport numpy as np\n\nimport pyart\nfrom pyart.testing import get_test_data\n\n# read in the data\nfile = get_test_data(\"110635.mdv\")\nradar = pyart.io.read_mdv(file)\n\n# mask out last 10 gates of each ray, this removes the \"ring\" around the radar.\nradar.fields[\"reflectivity\"][\"data\"][:, -10:] = np.ma.masked\n\n# exclude masked gates from the gridding\ngatefilter = pyart.filters.GateFilter(radar)\ngatefilter.exclude_transition()\ngatefilter.exclude_masked(\"reflectivity\")\n\n# perform Cartesian mapping, limit to the reflectivity field.\ngrid = pyart.map.grid_from_radars(\n    (radar,),\n    gatefilters=(gatefilter,),\n    grid_shape=(1, 241, 241),\n    grid_limits=((2000, 2000), (-123000.0, 123000.0), (-123000.0, 123000.0)),\n    fields=[\"reflectivity\"],\n)\n\n# create the plot\nfig = plt.figure()\nax = fig.add_subplot(111)\nax.imshow(grid.fields[\"reflectivity\"][\"data\"][0], origin=\"lower\")\nplt.show()"
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