{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n# Create a PPI plot from a Cfradial file\n\nAn example which creates a PPI plot of a Cfradial file.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "print(__doc__)\n\n# Author: Max Grover (mgrover@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# Locate the test data and read in using main read method\nfilename = get_test_data(\"swx_20120520_0641.nc\")\nradar = pyart.io.read(filename)\n\n# Setup the display, which automatically detects this is a ppi scan\ndisplay = pyart.graph.RadarDisplay(radar)\nfig = plt.figure()\nax = fig.add_subplot(111)\ndisplay.plot(\"reflectivity_horizontal\", 0, vmin=-32, vmax=64.0)\ndisplay.plot_range_rings([10, 20, 30, 40])\ndisplay.plot_cross_hair(5.0)\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 }