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 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<center>\n",
      "<h1>Bonus 1: CHILL data!</h1>\n",
      "<i>Scott Collis<sup>1</sup> and \n",
      "Jonathan Helmus<sup>1</sup> \n",
      "<br>\n",
      "1:Argonne National Laboratory\n",
      "<br>\n",
      "With thanks to Joe Hardin from CSU! \n",
      "</center>\n",
      "This is a case in example of the philosophy behind Py-ART! \n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#first import!\n",
      "import pyart\n",
      "from matplotlib import pyplot as plt\n",
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "filename = 'data/CHL20100621_222020'\n",
      "radar = pyart.io.read(filename)\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print radar.fields.keys()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "display = pyart.graph.RadarDisplay(radar)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig = plt.figure(figsize = [20,10])\n",
      "display.plot_rhi('reflectivity',vmax = 64)\n",
      "plt.gca().set_ylim([0,15])\n",
      "plt.gca().set_xlim([0,80])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig = plt.figure(figsize = [20,10])\n",
      "display.plot_rhi('differential_reflectivity', vmin = -2, vmax =6)\n",
      "plt.gca().set_ylim([0,15])\n",
      "plt.gca().set_xlim([0,80])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig = plt.figure(figsize = [20,10])\n",
      "display.plot_rhi('velocity')\n",
      "plt.gca().set_ylim([0,15])\n",
      "plt.gca().set_xlim([0,80])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can also use some of the IPython interactive widgets to create a interactive display utility for CHILL files!"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.html.widgets import interact, interactive, fixed\n",
      "from IPython.html import widgets"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def plot_chill_field(display, field='reflectivity', tilt=0):\n",
      "    fig = plt.figure(figsize = [20,10])\n",
      "    display.plot_rhi(field, tilt)\n",
      "    plt.gca().set_ylim([0,15])\n",
      "    plt.gca().set_xlim([0,80])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "interact(plot_chill_field,display=fixed(display), field=radar.fields.keys(), tilt=widgets.IntSliderWidget(min=0,max=radar.nsweeps-1,step=1,value=0) );"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}