alorenzo175/Albuquerque_NM_ac_power_2020-05-25T05_59_00+00_00-2020-05-28T05_59_00+00_00.csv

## Albuquerque_NM_ac_power_2020-05-25T05_59_00+00_00-2020-05-28T05_59_00+00_00.csv
# observation_id: 8feffe15-a0fc-11ea-9a25-9a2ee76b6523
# metadata: http://localhost:5000/observations/8feffe15-a0fc-11ea-9a25-9a2ee76b6523/metadata
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20200528T03:22:00+0000,-2.57e-06,18
20200528T03:23:00+0000,-2.42e-06,18
20200528T03:24:00+0000,-2.57e-06,18
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20200528T03:26:00+0000,-2.5e-06,18
20200528T03:27:00+0000,-2.5e-06,18
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20200528T03:46:00+0000,-2.42e-06,18
20200528T03:47:00+0000,-2.5e-06,18
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20200528T03:49:00+0000,-2.5e-06,18
20200528T03:50:00+0000,-2.57e-06,18
20200528T03:51:00+0000,-2.57e-06,18
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20200528T03:55:00+0000,-2.5e-06,18
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20200528T04:02:00+0000,-2.5e-06,18
20200528T04:03:00+0000,-2.5e-06,18
20200528T04:04:00+0000,-2.57e-06,18
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20200528T04:06:00+0000,-2.5e-06,18
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20200528T04:08:00+0000,-2.5e-06,18
20200528T04:09:00+0000,-2.64e-06,18
20200528T04:10:00+0000,-2.64e-06,18
20200528T04:11:00+0000,-2.42e-06,18
20200528T04:12:00+0000,-2.5e-06,18
20200528T04:13:00+0000,-2.35e-06,18
20200528T04:14:00+0000,-2.2e-06,18
20200528T04:15:00+0000,-2.57e-06,18
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20200528T04:17:00+0000,-2.5e-06,18
20200528T04:18:00+0000,-2.28e-06,18
20200528T04:19:00+0000,-2.42e-06,18
20200528T04:20:00+0000,-2.5e-06,18
20200528T04:21:00+0000,-2.57e-06,18
20200528T04:22:00+0000,-2.5e-06,18
20200528T04:23:00+0000,-2.64e-06,18
20200528T04:24:00+0000,-2.57e-06,18
20200528T04:25:00+0000,-2.64e-06,18
20200528T04:26:00+0000,-2.64e-06,18
20200528T04:27:00+0000,-2.42e-06,18
20200528T04:28:00+0000,-2.64e-06,18
20200528T04:29:00+0000,-2.35e-06,18
20200528T04:30:00+0000,-2.5e-06,18
20200528T04:31:00+0000,-2.64e-06,18
20200528T04:32:00+0000,-2.28e-06,18
20200528T04:33:00+0000,-2.35e-06,18
20200528T04:34:00+0000,-2.57e-06,18
20200528T04:35:00+0000,-2.42e-06,18
20200528T04:36:00+0000,-2.35e-06,18
20200528T04:37:00+0000,-2.57e-06,18
20200528T04:38:00+0000,-2.64e-06,18
20200528T04:39:00+0000,-2.57e-06,18
20200528T04:40:00+0000,-2.42e-06,18
20200528T04:41:00+0000,-2.64e-06,18
20200528T04:42:00+0000,-2.42e-06,18
20200528T04:43:00+0000,-2.35e-06,18
20200528T04:44:00+0000,-2.57e-06,18
20200528T04:45:00+0000,-2.72e-06,18
20200528T04:46:00+0000,-2.35e-06,18
20200528T04:47:00+0000,-2.42e-06,18
20200528T04:48:00+0000,-2.28e-06,18
20200528T04:49:00+0000,-2.42e-06,18
20200528T04:50:00+0000,-2.35e-06,18
20200528T04:51:00+0000,-2.5e-06,18
20200528T04:52:00+0000,-2.57e-06,18
20200528T04:53:00+0000,-2.35e-06,18
20200528T04:54:00+0000,-2.42e-06,18
20200528T04:55:00+0000,-2.2e-06,18
20200528T04:56:00+0000,-2.28e-06,18
20200528T04:57:00+0000,-2.35e-06,18
20200528T04:58:00+0000,-2.5e-06,18
20200528T04:59:00+0000,-2.5e-06,18
20200528T05:00:00+0000,-2.5e-06,18
20200528T05:01:00+0000,-2.2e-06,18
20200528T05:02:00+0000,-2.5e-06,18
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20200528T05:04:00+0000,-2.35e-06,18
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20200528T05:16:00+0000,-2.64e-06,18
20200528T05:17:00+0000,-2.42e-06,18
20200528T05:18:00+0000,-2.28e-06,18
20200528T05:19:00+0000,-2.64e-06,18
20200528T05:20:00+0000,-2.5e-06,18
20200528T05:21:00+0000,-2.57e-06,18
20200528T05:22:00+0000,-2.42e-06,18
20200528T05:23:00+0000,-2.42e-06,18
20200528T05:24:00+0000,-2.64e-06,18
20200528T05:25:00+0000,-2.28e-06,18
20200528T05:26:00+0000,-2.57e-06,18
20200528T05:27:00+0000,-2.57e-06,18
20200528T05:28:00+0000,-2.5e-06,18
20200528T05:29:00+0000,-2.5e-06,18
20200528T05:30:00+0000,-2.42e-06,18
20200528T05:31:00+0000,-2.57e-06,18
20200528T05:32:00+0000,-2.28e-06,18
20200528T05:33:00+0000,-2.35e-06,18
20200528T05:34:00+0000,-2.64e-06,18
20200528T05:35:00+0000,-2.79e-06,18
20200528T05:36:00+0000,-2.2e-06,18
20200528T05:37:00+0000,-2.72e-06,18
20200528T05:38:00+0000,-2.35e-06,18
20200528T05:39:00+0000,-2.35e-06,18
20200528T05:40:00+0000,-2.57e-06,18
20200528T05:41:00+0000,-2.42e-06,18
20200528T05:42:00+0000,-2.65e-06,18
20200528T05:43:00+0000,-2.42e-06,18
20200528T05:44:00+0000,-2.57e-06,18
20200528T05:45:00+0000,-2.5e-06,18
20200528T05:46:00+0000,-2.72e-06,18
20200528T05:47:00+0000,-2.57e-06,18
20200528T05:48:00+0000,-2.35e-06,18
20200528T05:49:00+0000,-2.2e-06,18
20200528T05:50:00+0000,-2.57e-06,18
20200528T05:51:00+0000,-2.42e-06,18
20200528T05:52:00+0000,-2.79e-06,18
20200528T05:53:00+0000,-2.64e-06,18
20200528T05:54:00+0000,-2.72e-06,18
20200528T05:55:00+0000,-2.64e-06,18
20200528T05:56:00+0000,-2.64e-06,18
20200528T05:57:00+0000,-2.2e-06,18
20200528T05:58:00+0000,-2.35e-06,18
20200528T05:59:00+0000,-2.42e-06,18

## Albuquerque_NM_ghi_2020-05-26T08_00_00+00_00-2020-05-27T06_43_00+00_00.csv
# observation_id: 059f2be2-99fe-11e9-9161-0a580a8200c9
# metadata: https://api.solarforecastarbiter.org/observations/059f2be2-99fe-11e9-9161-0a580a8200c9/metadata
timestamp,value,quality_flag
20200526T08:00:00+0000,-5.91518,274
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20200526T08:05:00+0000,-6.06599,274
20200526T08:06:00+0000,-6.05751,274
20200526T08:07:00+0000,-6.07171,274
20200526T08:08:00+0000,-6.06355,274
20200526T08:09:00+0000,-6.06036,274
20200526T08:10:00+0000,-6.02912,274
20200526T08:11:00+0000,-6.03058,274
20200526T08:12:00+0000,-6.00967,274
20200526T08:13:00+0000,-5.96307,274
20200526T08:14:00+0000,-5.98655,274
20200526T08:15:00+0000,-5.94854,274
20200526T08:16:00+0000,-5.92984,274
20200526T08:17:00+0000,-5.78519,274
20200526T08:18:00+0000,-5.75791,274
20200526T08:19:00+0000,-5.72907,274
20200526T08:20:00+0000,-5.80895,274
20200526T08:21:00+0000,-5.82455,274
20200526T08:22:00+0000,-5.84935,274
20200526T08:23:00+0000,-5.86998,274
20200526T08:24:00+0000,-5.83271,274
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20200526T08:26:00+0000,-5.72913,274
20200526T08:27:00+0000,-5.66927,274
20200526T08:28:00+0000,-5.64884,274
20200526T08:29:00+0000,-5.67997,274
20200526T08:30:00+0000,-5.72591,274
20200526T08:31:00+0000,-5.74483,274
20200526T08:32:00+0000,-5.74022,274
20200526T08:33:00+0000,-5.71986,274
20200526T08:34:00+0000,-5.75115,274
20200526T08:35:00+0000,-5.77245,274
20200526T08:36:00+0000,-5.76191,274
20200526T08:37:00+0000,-5.79124,274
20200526T08:38:00+0000,-5.72584,274
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20200526T08:40:00+0000,-5.60273,274
20200526T08:41:00+0000,-5.56407,274
20200526T08:42:00+0000,-5.46989,274
20200526T08:43:00+0000,-5.42922,274
20200526T08:44:00+0000,-5.44145,274
20200526T08:45:00+0000,-5.45018,274
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20200526T08:47:00+0000,-5.50249,274
20200526T08:48:00+0000,-5.49337,274
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20200526T10:08:00+0000,-5.42053,274
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20200526T10:18:00+0000,-5.39322,274
20200526T10:19:00+0000,-5.41382,274
20200526T10:20:00+0000,-5.39315,274
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20200526T10:24:00+0000,-5.42726,274
20200526T10:25:00+0000,-5.4267,274
20200526T10:26:00+0000,-5.39994,274
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20200526T10:28:00+0000,-5.40607,274
20200526T10:29:00+0000,-5.3524,274
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20200526T10:31:00+0000,-5.37544,274
20200526T10:32:00+0000,-5.35402,274
20200526T10:33:00+0000,-5.28369,274
20200526T10:34:00+0000,-5.26993,274
20200526T10:35:00+0000,-5.27112,274
20200526T10:36:00+0000,-5.22759,274
20200526T10:37:00+0000,-5.18985,274
20200526T10:38:00+0000,-5.14636,274
20200526T10:39:00+0000,-5.10316,274
20200526T10:40:00+0000,-5.04773,274
20200526T10:41:00+0000,-4.95925,274
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20200526T10:43:00+0000,-4.71097,274
20200526T10:44:00+0000,-4.55554,274
20200526T10:45:00+0000,-4.35864,274
20200526T10:46:00+0000,-4.13374,274
20200526T10:47:00+0000,-3.88668,18
20200526T10:48:00+0000,-3.59403,18
20200526T10:49:00+0000,-3.33085,18
20200526T10:50:00+0000,-2.96989,18
20200526T10:51:00+0000,-2.61051,18
20200526T10:52:00+0000,-2.19863,18
20200526T10:53:00+0000,-1.81739,18
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20200526T10:55:00+0000,-0.96417,18
20200526T10:56:00+0000,-0.509534,18
20200526T10:57:00+0000,-0.10875,18
20200526T10:58:00+0000,0.362098,18
20200526T10:59:00+0000,0.831026,18
20200526T11:00:00+0000,1.31662,18
20200526T11:01:00+0000,1.80824,18
20200526T11:02:00+0000,2.37557,18
20200526T11:03:00+0000,2.90477,18
20200526T11:04:00+0000,3.49855,18
20200526T11:05:00+0000,4.08842,18
20200526T11:06:00+0000,4.67557,18
20200526T11:07:00+0000,5.23236,18
20200526T11:08:00+0000,5.81494,18
20200526T11:09:00+0000,6.43193,18
20200526T11:10:00+0000,7.02532,18
20200526T11:11:00+0000,7.60933,18
20200526T11:12:00+0000,8.22318,18
20200526T11:13:00+0000,8.82154,18
20200526T11:14:00+0000,9.4016,18
20200526T11:15:00+0000,10.0093,18
20200526T11:16:00+0000,10.6487,18
20200526T11:17:00+0000,11.269,18
20200526T11:18:00+0000,11.8891,18
20200526T11:19:00+0000,12.5103,18
20200526T11:20:00+0000,13.1216,18
20200526T11:21:00+0000,13.736,18
20200526T11:22:00+0000,14.381,18
20200526T11:23:00+0000,15.0269,18
20200526T11:24:00+0000,15.6671,18
20200526T11:25:00+0000,17.0814,18
20200526T11:26:00+0000,28.9303,18
20200526T11:27:00+0000,47.6735,18
20200526T11:28:00+0000,56.2927,18
20200526T11:29:00+0000,58.5303,18
20200526T11:30:00+0000,61.4021,18
20200526T11:31:00+0000,64.6245,18
20200526T11:32:00+0000,67.3964,18
20200526T11:33:00+0000,70.1199,18
20200526T11:34:00+0000,72.7487,18
20200526T11:35:00+0000,75.2384,18
20200526T11:36:00+0000,77.8842,18
20200526T11:37:00+0000,81.027,18
20200526T11:38:00+0000,83.843,18
20200526T11:39:00+0000,86.7324,18
20200526T11:40:00+0000,89.6618,18
20200526T11:41:00+0000,92.323,18
20200526T11:42:00+0000,95.2265,18
20200526T11:43:00+0000,98.1834,18
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20200527T05:59:00+0000,-6.29108,274

## index_persistence_check.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import datetime as dt\n",
    "%matplotlib notebook\n",
    "from matplotlib import pyplot as plt\n",
    "from solarforecastarbiter.reference_forecasts import persistence, utils\n",
    "from solarforecastarbiter import datamodel, pvmodel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_params = datamodel.FixedTiltModelingParameters(\n",
    "    0.00324, 0.00324, -0.42, 0, 0, 35.0, 180.0\n",
    ")\n",
    "site = datamodel.SolarPowerPlant(\n",
    "    'DOE ABQ', 35.05, -106.53, 1657.0, 'America/Denver',\n",
    "    modeling_parameters=model_params\n",
    ")\n",
    "obs = datamodel.Observation(\n",
    "    'DOE ABQ', 'ac_power', 'interval_mean', pd.Timedelta('1min'), 'ending', site, 0\n",
    ")\n",
    "\n",
    "obs_vals = pd.read_csv('Albuquerque_NM_ac_power_2020-05-25T05_59_00+00_00-2020-05-28T05_59_00+00_00.csv', skiprows=2, parse_dates=['timestamp']).set_index('timestamp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "five_fx = datamodel.Forecast(\n",
    "    '5 index pers', dt.time(0), pd.Timedelta('5min'), pd.Timedelta('5min'), pd.Timedelta('5min'),\n",
    "    'ending',  'interval_mean', 'ac_power', site)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_pers(fx, obs_vals=obs_vals):\n",
    "    fx_ser = []\n",
    "    for fx_time in pd.date_range(start='2020-05-26T09:00Z', end='2020-05-27T04:00Z',\n",
    "                                 freq=fx.run_length):\n",
    "        fx_start, fx_end = utils.get_forecast_start_end(fx, fx_time, False)\n",
    "        data_start, data_end = utils.get_data_start_end(obs, fx, fx_time)\n",
    "        fx_ser.append(\n",
    "            persistence.persistence_scalar_index(\n",
    "                obs, data_start, data_end, fx_start, fx_end, fx.interval_length,\n",
    "                fx.interval_label, lambda obs, start, end: obs_vals.value.loc[start:end])\n",
    "        )                  \n",
    "    fx_ser = pd.concat(fx_ser)\n",
    "    return fx_ser"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "five_fx_ser = make_pers(five_fx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbcb3f81e80>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "five_fx_ser.plot()\n",
    "obs_vals.value.loc[five_fx_ser.index[0]:five_fx_ser.index[-1]].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbcb3f81e80>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clr_range = pd.date_range(start='2020-05-26T09:00Z', end='2020-05-27T04:00Z',\n",
    "                                 freq='1min')\n",
    "solpos = pvmodel.calculate_solar_position(site.latitude, site.longitude, site.elevation, clr_range)\n",
    "cs = pvmodel.calculate_clearsky(site.latitude, site.longitude, site.elevation, solpos['apparent_zenith'])\n",
    "clr_ac = pvmodel.irradiance_to_power(site.modeling_parameters, solpos['apparent_zenith'], solpos['azimuth'],\n",
    "                                    cs['ghi'], cs['dni'], cs['dhi'])\n",
    "clr_ac.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "hour_fx = datamodel.Forecast(\n",
    "    'hour index pers', dt.time(0), pd.Timedelta('1h'), pd.Timedelta('1h'), pd.Timedelta('1h'),\n",
    "    'beginning',  'interval_mean', 'ac_power', site)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "hour_ser = make_pers(hour_fx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbcb3f81e80>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hour_ser.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "ghi_obs = pd.read_csv('Albuquerque_NM_ghi_2020-05-26T08_00_00+00_00-2020-05-27T06_43_00+00_00.csv', skiprows=2, parse_dates=['timestamp']).set_index('timestamp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Meas GHI vs CS GHI')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "ghi_obs.value.plot()\n",
    "cs['ghi'].plot()\n",
    "plt.title('Meas GHI vs CS GHI')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}