Jupyter_Trend_Basic.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from ipywidgets import interact, interactive, Select, Text, Checkbox\n",
    "from IPython.display import clear_output, display, HTML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from scipy import integrate\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "from matplotlib.colors import cnames\n",
    "from matplotlib import animation\n",
    "import matplotlib.font_manager as font_manager\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from Chandra.Time import DateTime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from Ska.engarchive import fetch_eng as fetch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "lightfont = font_manager.FontProperties(weight='light')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_msid(msid='aacccdpt', tstart='2000:001', tstop='2017:001', stat='daily'):\n",
    "\n",
    "    if 'none' in str(stat).lower():\n",
    "        stat = None\n",
    "        \n",
    "    statstr = str(stat).lower()\n",
    "\n",
    "    tstart = DateTime(tstart).secs\n",
    "    tstop = DateTime(tstop).secs\n",
    "    data = fetch.Msid(msid, tstart, tstop, stat=stat)\n",
    "\n",
    "    if hasattr(data, 'tdb'):\n",
    "        title = '{}: {}'.format(msid, data.tdb.technical_name)\n",
    "    \n",
    "#     if plot_warning_low or plot_caution_low or plot_caution_high or plot_warning_high:\n",
    "#         wL, cL, ch, wh, dates = getlimits(msid, maxdate='2017:001')\n",
    "    \n",
    "    if statstr == 'daily':\n",
    "        xtick = np.linspace(DateTime(tstart).secs, DateTime(tstop).secs, 10)\n",
    "        xlab = [lab[:8] for lab in DateTime(xtick).date]\n",
    "    else:\n",
    "        xtick = np.linspace(DateTime(tstart).secs, DateTime(tstop).secs, 10)\n",
    "        xlab = DateTime(xtick).date\n",
    "\n",
    "#     if ax == None:\n",
    "    fig = plt.figure(facecolor=[1,1,1],figsize=(13,6))\n",
    "    ax = fig.add_axes([0.1, 0.15, 0.8, 0.7])\n",
    "        \n",
    "    ax.set_xticks(xtick)\n",
    "    ax.set_xticklabels(xlab, fontsize=20, rotation=45, ha='right', rotation_mode=\"anchor\")\n",
    "    ax.grid(True)\n",
    "    ax.set_ylabel('Temperature', fontsize=22, fontproperties=lightfont)\n",
    "    ax.set_xlabel('Time (Seconds)', fontsize=22, fontproperties=lightfont)\n",
    "    ax.set_title(title, fontsize=30)\n",
    "    if 'none' in statstr:\n",
    "        ax.plot(data.times, data.vals, color='#A4AEE4')\n",
    "    else:\n",
    "        ax.fill_between(data.times, data.mins, data.maxes, color='#A4AEE4')\n",
    "\n",
    "#     if plot_warning_low:\n",
    "#         ax.step(dates, wL, where='post', color='r')\n",
    "#     if plot_caution_low:\n",
    "#         ax.step(dates, cL, where='post', color='#FFA500')\n",
    "#     if plot_caution_high:\n",
    "#         ax.step(dates, ch, where='post', color='#FFA500')\n",
    "#     if plot_warning_high:\n",
    "#         ax.step(dates, wh, where='post', color='r')\n",
    "        \n",
    "    ax.set_yticklabels(ax.get_yticks(), fontsize=20)\n",
    "    ax.set_xlim(DateTime(tstart).secs, DateTime(tstop).secs)\n",
    "    \n",
    "    return ax\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._axes.Axes at 0x108dedf10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ayt555x2PbbeXtP25c+fE/cbHxzOLxdJiW6WlpczPz49xHMdUKpVDg/R7wa1btyQS984e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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1089e5d10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "msids = ('OOBTHR49','4RT588T','OOBTHR50','4RT589T','OOBTHR51','4RT590T','OOBTHR52',\n",
    "         '4RT591T','OOBTHR53','4RT592T','OOBTHR54','4RT593T')\n",
    "# def handle_change(sender):\n",
    "#     print(sender.value)\n",
    "\n",
    "# def dummy(sender):\n",
    "#     pass\n",
    "\n",
    "msid_select = Select(description='MSID:',options=msids, visible=True)\n",
    "latest = DateTime().date\n",
    "t1 = Text(description='Start Date:', value='2000:001:00:00:00.000', visible=True)\n",
    "t2 = Text(description='Stop Date:', value=latest, visible=True)\n",
    "# wL = Checkbox(description='Plot Warning Low', value=False, visible=True)\n",
    "# cL = Checkbox(description='Plot Caution Low', value=False, visible=True)\n",
    "# cH = Checkbox(description='Plot Caution High', value=True, visible=True)\n",
    "# wH = Checkbox(description='Plot Warning High', value=True, visible=True)\n",
    "# filter_oba = Checkbox(description='Filter Bad OBA Times', value=True, visible=True)\n",
    "stat_select = Select(description='Stat:',options=('daily', '5min', 'None'), visible=True)\n",
    "\n",
    "# q = interact(genplot, msid=msid_select, tstart=t1, tstop=t2,\n",
    "#              plot_warning_low=wL, plot_caution_low=cL, plot_caution_high=cH, \n",
    "#              plot_warning_high=wH, filter_bad_oba=filter_oba, stat=stat_select)\n",
    "\n",
    "q = interact(plot_msid, msid=msid_select, tstart=t1, tstop=t2, stat=stat_select)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}