{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Create a plot of NEXRAD reflectivity\n\nAn example which creates a plot containing the first collected scan from a\nNEXRAD file.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "print(__doc__)\n\n# Author: Jonathan J. Helmus (jhelmus@anl.gov)\n# License: BSD 3 clause\n\nimport matplotlib.pyplot as plt\n\nimport pyart\nfrom pyart.testing import get_test_data\n\n# open the file, create the displays and figure\nfilename = get_test_data(\"Level2_KATX_20130717_1950.ar2v\")\nradar = pyart.io.read_nexrad_archive(filename)\ndisplay = pyart.graph.RadarDisplay(radar)\nfig = plt.figure(figsize=(6, 5))\n\n# plot super resolution reflectivity\nax = fig.add_subplot(111)\ndisplay.plot(\n    \"reflectivity\",\n    0,\n    title=\"NEXRAD Reflectivity\",\n    vmin=-32,\n    vmax=64,\n    colorbar_label=\"\",\n    ax=ax,\n)\ndisplay.plot_range_ring(radar.range[\"data\"][-1] / 1000.0, ax=ax)\ndisplay.set_limits(xlim=(-500, 500), ylim=(-500, 500), ax=ax)\nplt.show()"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.14.3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}