{
 "cells": [
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "<script>\n",
    "  function code_toggle() {\n",
    "    if (code_shown){\n",
    "      $('div.input').hide('500');\n",
    "      $('#toggleButton').val('Show Code')\n",
    "    } else {\n",
    "      $('div.input').show('500');\n",
    "      $('#toggleButton').val('Hide Code')\n",
    "    }\n",
    "    code_shown = !code_shown\n",
    "  }\n",
    "\n",
    "  $( document ).ready(function(){\n",
    "    code_shown=false;\n",
    "    $('div.input').hide()\n",
    "  });\n",
    "</script>\n",
    "<form action=\"javascript:code_toggle()\"><input type=\"submit\" id=\"toggleButton\" value=\"Show Code\"></form>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-25T11:38:13.178055",
     "start_time": "2017-07-25T11:38:13.170518"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"last\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-28T12:15:56.559691",
     "start_time": "2017-07-28T12:15:54.614847"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from Index_Calculations import facility_index_gen, index_and_generation\n",
    "import os\n",
    "import glob\n",
    "import numpy as np\n",
    "from statsmodels.tsa.tsatools import detrend"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Group state-level total gen into approx NERC regions\n",
    "These definitions are taken from Pétron (2008)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check actual generation from facilities in 2015 against the state-aggregation method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-12T21:24:55.878634",
     "start_time": "2017-07-12T21:24:55.864901"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "states_in_NERC = {'WECC': ['WA', 'OR', 'CA', 'NV', 'AZ', 'UT',\n",
    "                           'ID', 'MT', 'WY', 'CO', 'NM'],\n",
    "                  'MRO': ['ND', 'SD', 'NE', 'MN', 'IA', 'WI'],\n",
    "                  'SPP': ['KS', 'OK'],\n",
    "                  'ERCOT': ['TX'],\n",
    "                  'SERC': ['MO', 'IL', 'AR', 'LA', 'MS', 'AL',\n",
    "                           'GA', 'SC', 'NC', 'TN'],\n",
    "                  'FRCC': ['FL'],\n",
    "                  'RFC': ['MI', 'IN', 'OH', 'PA', 'WV', 'KY',\n",
    "                          'VA', 'NJ', 'DE', 'MD'],\n",
    "                  'NPCC': ['NY', 'VT', 'ME', 'NH', 'MA', 'RI', 'CT']}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-11T15:46:46.155955",
     "start_time": "2017-07-11T15:46:44.623528"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for nerc, states in states_in_NERC.iteritems():\n",
    "    paths = [os.path.join('Data storage', \n",
    "                          'state gen data', \n",
    "                          state + ' fuels gen.csv') for state in states]\n",
    "    nerc_list = [pd.read_csv(path) for path in paths]\n",
    "    nerc_df = pd.concat(nerc_list)\n",
    "    nerc_df.reset_index(inplace=True, drop=True)\n",
    "    \n",
    "    path_out = os.path.join('Data storage', 'state gen data', nerc + ' fuels gen.csv')\n",
    "    nerc_df.to_csv(path_out, index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculate index values for each NERC region"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-11T15:48:52.657124",
     "start_time": "2017-07-11T15:47:08.502567"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "facility_path = os.path.join('Data storage', 'Facility gen fuels and CO2 2017-05-25.zip')\n",
    "epa_path = os.path.join('Data storage', 'Monthly EPA emissions 2017-05-25.csv')\n",
    "ef_path = os.path.join('Data storage', 'Final emission factors.csv')\n",
    "out_folder = os.path.join('Data storage', 'final NERC data from states')\n",
    "NERC_path = os.path.join('Data storage', 'Facility NERC labels.csv')\n",
    "\n",
    "for nerc in states_in_NERC.keys():\n",
    "    all_fuel_path = os.path.join('Data storage', 'state gen data', nerc + ' fuels gen.csv')\n",
    "    index_and_generation(facility_path=facility_path,\n",
    "                         all_fuel_path = all_fuel_path,\n",
    "                         epa_path=epa_path,\n",
    "                         emission_factor_path=ef_path,\n",
    "                         export_folder=out_folder, export_path_ext=' '\n",
    "                         + nerc, state=states_in_NERC[nerc])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read data and create figures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-28T12:16:01.342486",
     "start_time": "2017-07-28T12:16:01.335348"
    }
   },
   "outputs": [],
   "source": [
    "path = os.path.join('Data storage', 'final NERC data from states', 'Monthly index*')\n",
    "mi_fns = glob.glob(path)\n",
    "path = os.path.join('Data storage', 'final NERC data from states', 'Monthly gen*')\n",
    "mg_fns = glob.glob(path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-28T12:16:04.446150",
     "start_time": "2017-07-28T12:16:04.407416"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_list = []\n",
    "for f in mi_fns:\n",
    "    region = f.split()[-1][:-4]\n",
    "    df = pd.read_csv(f)\n",
    "    df['region'] = region\n",
    "    df_list.append(df)\n",
    "full_mi = pd.concat(df_list)\n",
    "full_mi.reset_index(inplace=True, drop=True)\n",
    "full_mi.rename(columns={'index (g/kWh)': 'monthly index (g/kWh)'}, inplace=True)\n",
    "full_mi['datetime'] = pd.to_datetime(full_mi['datetime'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-28T12:16:05.270721",
     "start_time": "2017-07-28T12:16:05.121310"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_list = []\n",
    "for f in mg_fns:\n",
    "    region = f.split()[-1][:-4]\n",
    "    df = pd.read_csv(f)\n",
    "    df['region'] = region\n",
    "    df_list.append(df)\n",
    "full_mg = pd.concat(df_list)\n",
    "full_mg.reset_index(inplace=True, drop=True)\n",
    "full_mg['datetime'] = pd.to_datetime(full_mg['datetime'])\n",
    "\n",
    "monthly_gen = pd.pivot_table(full_mg, index=['region', 'datetime'], \n",
    "                             values='generation (MWh)', columns='fuel category 1')\n",
    "monthly_gen.reset_index(inplace=True, drop=False)\n",
    "monthly_gen['Year'] = monthly_gen['datetime'].dt.year\n",
    "monthly_gen.replace(np.nan, 0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-28T12:16:06.755082",
     "start_time": "2017-07-28T12:16:06.745845"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "gen_index = pd.merge(monthly_gen, full_mi[['datetime', 'region', 'monthly index (g/kWh)']], \n",
    "                     on=['datetime', 'region'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-28T12:16:07.208278",
     "start_time": "2017-07-28T12:16:07.177270"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>region</th>\n",
       "      <th>datetime</th>\n",
       "      <th>Coal</th>\n",
       "      <th>Hydro</th>\n",
       "      <th>Natural Gas</th>\n",
       "      <th>Nuclear</th>\n",
       "      <th>Other</th>\n",
       "      <th>Other Renewables</th>\n",
       "      <th>Solar</th>\n",
       "      <th>Wind</th>\n",
       "      <th>Year</th>\n",
       "      <th>monthly index (g/kWh)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ERCOT</td>\n",
       "      <td>2001-01-01</td>\n",
       "      <td>11683911.0</td>\n",
       "      <td>138093.0</td>\n",
       "      <td>13750546.0</td>\n",
       "      <td>3545310.0</td>\n",
       "      <td>1707467.21</td>\n",
       "      <td>92021.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>83931.0</td>\n",
       "      <td>2001</td>\n",
       "      <td>638.408119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ERCOT</td>\n",
       "      <td>2001-02-01</td>\n",
       "      <td>10236786.0</td>\n",
       "      <td>110148.0</td>\n",
       "      <td>11507834.0</td>\n",
       "      <td>3037626.0</td>\n",
       "      <td>510769.63</td>\n",
       "      <td>81710.37</td>\n",
       "      <td>0.0</td>\n",
       "      <td>141647.0</td>\n",
       "      <td>2001</td>\n",
       "      <td>639.497007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ERCOT</td>\n",
       "      <td>2001-03-01</td>\n",
       "      <td>11004470.0</td>\n",
       "      <td>180140.0</td>\n",
       "      <td>13316335.0</td>\n",
       "      <td>2462837.0</td>\n",
       "      <td>447733.81</td>\n",
       "      <td>81192.19</td>\n",
       "      <td>0.0</td>\n",
       "      <td>87631.0</td>\n",
       "      <td>2001</td>\n",
       "      <td>654.137303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ERCOT</td>\n",
       "      <td>2001-04-01</td>\n",
       "      <td>9767225.0</td>\n",
       "      <td>124232.0</td>\n",
       "      <td>14402417.0</td>\n",
       "      <td>2668816.0</td>\n",
       "      <td>331369.06</td>\n",
       "      <td>76768.94</td>\n",
       "      <td>0.0</td>\n",
       "      <td>115487.0</td>\n",
       "      <td>2001</td>\n",
       "      <td>633.521538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ERCOT</td>\n",
       "      <td>2001-05-01</td>\n",
       "      <td>11449397.0</td>\n",
       "      <td>115102.0</td>\n",
       "      <td>16025878.0</td>\n",
       "      <td>3419870.0</td>\n",
       "      <td>383202.65</td>\n",
       "      <td>86697.35</td>\n",
       "      <td>0.0</td>\n",
       "      <td>103312.0</td>\n",
       "      <td>2001</td>\n",
       "      <td>638.333358</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  region   datetime        Coal     Hydro  Natural Gas    Nuclear       Other  \\\n",
       "0  ERCOT 2001-01-01  11683911.0  138093.0   13750546.0  3545310.0  1707467.21   \n",
       "1  ERCOT 2001-02-01  10236786.0  110148.0   11507834.0  3037626.0   510769.63   \n",
       "2  ERCOT 2001-03-01  11004470.0  180140.0   13316335.0  2462837.0   447733.81   \n",
       "3  ERCOT 2001-04-01   9767225.0  124232.0   14402417.0  2668816.0   331369.06   \n",
       "4  ERCOT 2001-05-01  11449397.0  115102.0   16025878.0  3419870.0   383202.65   \n",
       "\n",
       "   Other Renewables  Solar      Wind  Year  monthly index (g/kWh)  \n",
       "0          92021.80    0.0   83931.0  2001             638.408119  \n",
       "1          81710.37    0.0  141647.0  2001             639.497007  \n",
       "2          81192.19    0.0   87631.0  2001             654.137303  \n",
       "3          76768.94    0.0  115487.0  2001             633.521538  \n",
       "4          86697.35    0.0  103312.0  2001             638.333358  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gen_index.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-25T11:38:21.054542",
     "start_time": "2017-07-25T11:38:20.990572"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for region in gen_index['region'].unique():\n",
    "    gen_index.loc[gen_index['region'] == region, 'Index variability'] = \\\n",
    "        gen_index.loc[gen_index['region']==region, \n",
    "                       'monthly index (g/kWh)'].rolling(window=12).std()\n",
    "    \n",
    "    gen_index.loc[gen_index['region'] == region, \n",
    "                   'Normalized Index variability'] = \\\n",
    "         gen_index.loc[gen_index['region']==region, 'Index variability'] / \\\n",
    "         gen_index.loc[gen_index['region']==region, \n",
    "                       'monthly index (g/kWh)'].rolling(window=12).mean()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-25T11:38:21.169640",
     "start_time": "2017-07-25T11:38:21.165971"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "base_year = 2005"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-25T11:38:22.379482",
     "start_time": "2017-07-25T11:38:22.032595"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "fuels = ['Coal', 'Natural Gas', 'Other Renewables', 'Nuclear', 'Other',\n",
    "         'Solar', 'Wind', 'Hydro']\n",
    "# fuels = ['Coal', 'Natural Gas', 'Renewables', 'Nuclear', 'Other']\n",
    "gen_index['Total gen'] = gen_index.loc[:, fuels].sum(axis=1)\n",
    "for fuel in fuels:\n",
    "    # New columns that are being added\n",
    "    col_percent = 'percent ' + fuel\n",
    "    col_change = 'change in ' + fuel\n",
    "\n",
    "    # Calculate percent of generation from each fuel type\n",
    "    gen_index[col_percent] = gen_index.loc[:, fuel] / gen_index.loc[:, 'Total gen']\n",
    "\n",
    "    # Percent of fuel in region in base year (entire year)\n",
    "    for region in gen_index['region'].unique():\n",
    "        percent_fuel_base = gen_index.loc[(gen_index['Year'] == base_year) & \n",
    "                                          (gen_index['region'] == region), fuel].sum() / gen_index.loc[(gen_index['Year'] == base_year) & \n",
    "                                                                                                     (gen_index['region'] == region), 'Total gen'].sum()\n",
    "\n",
    "        # Use percent of fuel in base year to calculate change for each region/month\n",
    "        gen_index.loc[gen_index['region'] == region, \n",
    "                      col_change] = (gen_index.loc[gen_index['region'] == region, col_percent] - percent_fuel_base) / percent_fuel_base\n",
    "    \n",
    "# Change in variability compared to average base year value\n",
    "for region in gen_index['region'].unique():\n",
    "    norm_variability_base = gen_index.loc[(gen_index['Year'] == base_year) & \n",
    "                                  (gen_index['region'] == region), 'Normalized Index variability'].mean()\n",
    "    variability_base = gen_index.loc[(gen_index['Year'] == base_year) & \n",
    "                                  (gen_index['region'] == region), 'Index variability'].mean()\n",
    "    \n",
    "    gen_index.loc[gen_index['region'] == region, \n",
    "                  'change in variability'] = (gen_index.loc[gen_index['region'] == region, \n",
    "                                                            'Index variability'] - variability_base) / variability_base\n",
    "    \n",
    "    gen_index.loc[gen_index['region'] == region, \n",
    "                  'change in norm variability'] = (gen_index.loc[gen_index['region'] == region, \n",
    "                                                            'Normalized Index variability'] - norm_variability_base) / norm_variability_base"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T11:51:52.118240",
     "start_time": "2017-07-18T11:51:51.655435"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Home/anaconda/lib/python2.7/site-packages/bokeh/util/deprecation.py:34: BokehDeprecationWarning: \n",
      "The bokeh.charts API has moved to a separate 'bkcharts' package.\n",
      "\n",
      "This compatibility shim will remain until Bokeh 1.0 is released.\n",
      "After that, if you want to use this API you will have to install\n",
      "the bkcharts package explicitly.\n",
      "\n",
      "  warn(message)\n"
     ]
    }
   ],
   "source": [
    "from bokeh.plotting import figure, show, output_notebook, ColumnDataSource\n",
    "from bokeh.plotting import *\n",
    "from bokeh.layouts import gridplot, column\n",
    "from bokeh.models import HoverTool, Div\n",
    "from bokeh.palettes import viridis\n",
    "from bokeh.charts import TimeSeries\n",
    "from bokeh.io import export_svgs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T11:51:52.131415",
     "start_time": "2017-07-18T11:51:52.120233"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"http://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"24a3655e-4ce2-45ec-9b41-e1d8595530ae\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(global) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "    window._bokeh_onload_callbacks = [];\n",
       "    window._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "\n",
       "  \n",
       "  if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    window._bokeh_timeout = Date.now() + 5000;\n",
       "    window._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    if (window.Bokeh !== undefined) {\n",
       "      var el = document.getElementById(\"24a3655e-4ce2-45ec-9b41-e1d8595530ae\");\n",
       "      el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "    } else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "    }\n",
       "    finally {\n",
       "      delete window._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(js_urls, callback) {\n",
       "    window._bokeh_onload_callbacks.push(callback);\n",
       "    if (window._bokeh_is_loading > 0) {\n",
       "      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    window._bokeh_is_loading = js_urls.length;\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var s = document.createElement('script');\n",
       "      s.src = url;\n",
       "      s.async = false;\n",
       "      s.onreadystatechange = s.onload = function() {\n",
       "        window._bokeh_is_loading--;\n",
       "        if (window._bokeh_is_loading === 0) {\n",
       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"24a3655e-4ce2-45ec-9b41-e1d8595530ae\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '24a3655e-4ce2-45ec-9b41-e1d8595530ae' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "      document.getElementById(\"24a3655e-4ce2-45ec-9b41-e1d8595530ae\").textContent = \"BokehJS is loading...\";\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i](window.Bokeh);\n",
       "      }if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!window._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      window._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"24a3655e-4ce2-45ec-9b41-e1d8595530ae\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (window._bokeh_is_loading === 0) {\n",
       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(this));"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T11:52:00.527773",
     "start_time": "2017-07-18T11:52:00.520989"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def weighted_percent(df, fuel, year):\n",
    "    all_fuels = ['Coal', 'Natural Gas', 'Nuclear', 'Other', 'Other Renewables',\n",
    "                 'Wind', 'Solar', 'Hydro']\n",
    "    temp = df.loc[df['Year'] == year, all_fuels]\n",
    "    temp['Total'] = temp.sum(axis=1)\n",
    "    \n",
    "    weighted_per = temp[fuel].sum() / temp['Total'].sum() * 100\n",
    "    return weighted_per"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-12T21:25:46.944492",
     "start_time": "2017-07-12T21:25:46.936671"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'region', u'datetime', u'Coal', u'Hydro', u'Natural Gas', u'Nuclear',\n",
       "       u'Other', u'Other Renewables', u'Solar', u'Wind', u'Year',\n",
       "       u'monthly index (g/kWh)', u'Index variability',\n",
       "       u'Normalized Index variability', u'Total gen', u'percent Coal',\n",
       "       u'change in Coal', u'percent Natural Gas', u'change in Natural Gas',\n",
       "       u'percent Other Renewables', u'change in Other Renewables',\n",
       "       u'percent Nuclear', u'change in Nuclear', u'percent Other',\n",
       "       u'change in Other', u'percent Solar', u'change in Solar',\n",
       "       u'percent Wind', u'change in Wind', u'percent Hydro',\n",
       "       u'change in Hydro', u'change in variability',\n",
       "       u'change in norm variability'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gen_index.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Actual and Normalized variability over time in each NERC region\n",
    "\n",
    "At the national level, Index variability went up after 2007, and then dipped back down briefly in 2013. This trend can be seen in a few, but not all, of the regions.\n",
    "\n",
    "I'm not sure what the cyclical trends in Index variability represent. These values are 12 month rolling standard deviations - they shouldn't be affected by seasonal variation. \n",
    "**Update:** Upticks in the variability or normalized variability could be due to one or more months where the Index value jumped up or down well outside the normal range. This would increase the rolling standard deviation for 12 months.\n",
    "\n",
    "The normalized variability here is a 12 month rolling standard deviation of CO2 intensity divided by the 12 month rolling average. I'm suspicious of the results in MRO."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-25T11:39:48.305913",
     "start_time": "2017-07-25T11:39:48.300464"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sns.set_style('white', {'axes.linewidth': 1.5,\n",
    "                        'axes.grid': True})\n",
    "sns.set_context('notebook', font_scale=1.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-25T11:39:48.520774",
     "start_time": "2017-07-25T11:39:48.510573"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def region_facet_grid(df, plot_function, x_axis, y_axis, col_order=None,\n",
    "                      suptitle='', add_legend=False, ax_labels=None,\n",
    "                      FG_kwargs={}, plot_kwargs={}):\n",
    "    g = sns.FacetGrid(df, col_order=col_order, **FG_kwargs)\n",
    "    g.map(plot_function, x_axis, y_axis, **plot_kwargs)\n",
    "    g.set_xticklabels(rotation=35)\n",
    "    if add_legend:\n",
    "        g.add_legend()\n",
    "    if suptitle:\n",
    "        plt.suptitle(suptitle, y=1.02, size=15)\n",
    "    if col_order and 'col' in FG_kwargs:\n",
    "        axes = g.axes.flatten()\n",
    "        for ax, title in zip(axes, order):\n",
    "            ax.set_title(title)\n",
    "    if ax_labels:\n",
    "        g.set_axis_labels(ax_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-14T16:45:46.301474",
     "start_time": "2017-07-14T16:45:44.224831"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvgAAAKhCAYAAAAlo9rcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15861a7d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order = ['MRO', 'SPP', 'RFC', 'ERCOT', 'FRCC', 'SERC',\n",
    "         'WECC', 'NPCC']\n",
    "FG_kwargs = dict(col='region',\n",
    "                 hue='region',\n",
    "                 col_wrap=3,\n",
    "                 aspect=1.2,\n",
    "                 hue_order=order)\n",
    "region_facet_grid(df=gen_index, plot_function=plt.plot, x_axis='datetime',\n",
    "                  y_axis='Index variability', col_order=order, \n",
    "                  suptitle='Index Variability', FG_kwargs=FG_kwargs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-14T16:42:08.110160",
     "start_time": "2017-07-14T16:42:06.548452"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvgAAAKhCAYAAAAlo9rcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAvEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15916cad0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order = ['MRO', 'SPP', 'RFC', 'ERCOT', 'FRCC', 'SERC',\n",
    "         'WECC', 'NPCC']\n",
    "FG_kwargs = dict(col='region',\n",
    "                 hue='region',\n",
    "                 col_wrap=3,\n",
    "                 aspect=1.2,\n",
    "                 hue_order=order)\n",
    "region_facet_grid(df=gen_index, plot_function=plt.plot, x_axis='datetime',\n",
    "                  y_axis='Normalized Index variability', col_order=order, \n",
    "                  suptitle='Normalized Index Variability', FG_kwargs=FG_kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Actual index values over time in each NERC region\n",
    "**Figure 1 of paper - also include national**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-14T16:43:06.241313",
     "start_time": "2017-07-14T16:43:04.126731"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvgAAAKhCAYAAAAlo9rcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nlSsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15abdd2d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order = ['MRO', 'SPP', 'RFC', 'ERCOT', 'FRCC', 'SERC',\n",
    "         'WECC', 'NPCC']\n",
    "FG_kwargs = dict(col='region',\n",
    "                 hue='region',\n",
    "                 col_wrap=3,\n",
    "                 aspect=1.2,\n",
    "                 hue_order=order,\n",
    "                 ylim=(0, 1050))\n",
    "\n",
    "region_facet_grid(df=gen_index, plot_function=plt.plot, x_axis='datetime',\n",
    "                  y_axis='monthly index (g/kWh)', col_order=order, \n",
    "                  suptitle='Monthly Index', FG_kwargs=FG_kwargs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-14T16:46:15.388853",
     "start_time": "2017-07-14T16:46:14.716923"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl8AAAF7CAYAAADsau6gAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nCCFs6P8BKYQ5eyNdpecAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15bf48c10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order = ['MRO', 'SPP', 'RFC', 'ERCOT', 'FRCC', 'SERC',\n",
    "         'WECC', 'NPCC']\n",
    "FG_kwargs = dict(hue='region',\n",
    "                 aspect=1.5,\n",
    "                 size=5,\n",
    "                 hue_order=order,\n",
    "                 ylim=(0, 1050))\n",
    "region_facet_grid(df=gen_index, plot_function=plt.plot, x_axis='datetime',\n",
    "                  add_legend=True, y_axis='monthly index (g/kWh)', col_order=order, \n",
    "                  suptitle='Monthly Index', FG_kwargs=FG_kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Example of Index correlation between two regions, with and without detrending\n",
    "Trying to show why detrending is needed when using the correlation to determine seasonal differences between regions. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T16:07:31.738403",
     "start_time": "2017-07-18T16:07:31.130203"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x114a944d0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlgAAAF7CAYAAAAOtvXZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\npgRLRERExMmUYImIiIg42f8HTwvnxgRjpVoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1149c0190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order = ['FRCC', 'SPP']\n",
    "FG_kwargs = dict(hue='region',\n",
    "                 aspect=1.5,\n",
    "                 size=5,\n",
    "                 hue_order=order,\n",
    "                 ylim=(200, 1050))\n",
    "\n",
    "corr_coef = gen_index.loc[gen_index['region'].isin(order)].pivot_table(values='monthly index (g/kWh)',\n",
    "                                   index='datetime', columns='region').corr()\n",
    "corr_coef = corr_coef.iloc[1, 0]\n",
    "region_facet_grid(df=gen_index.loc[gen_index['region'].isin(order)], plot_function=plt.plot, x_axis='datetime',\n",
    "                  add_legend=True, y_axis='monthly index (g/kWh)', col_order=order, \n",
    "                  suptitle='Monthly Index (no change)', FG_kwargs=FG_kwargs)\n",
    "plt.figtext(.55, .85, 'Pearson corr = {:.2f}'.format(corr_coef))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-14T16:46:15.388853",
     "start_time": "2017-07-14T16:46:14.716923"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11d00b450>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl8AAAF7CAYAAADsau6gAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1194cf7d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order = ['ERCOT', 'SPP']\n",
    "FG_kwargs = dict(hue='region',\n",
    "                 aspect=1.5,\n",
    "                 size=5,\n",
    "                 hue_order=order,\n",
    "                 ylim=(200, 1050))\n",
    "\n",
    "corr_coef = gen_index.loc[gen_index['region'].isin(order)].pivot_table(values='monthly index (g/kWh)',\n",
    "                                   index='datetime', columns='region').corr()\n",
    "corr_coef = corr_coef.iloc[1, 0]\n",
    "region_facet_grid(df=gen_index.loc[gen_index['region'].isin(order)], plot_function=plt.plot, x_axis='datetime',\n",
    "                  add_legend=True, y_axis='monthly index (g/kWh)', col_order=order, \n",
    "                  suptitle='Monthly Index (no change)', FG_kwargs=FG_kwargs)\n",
    "plt.figtext(.55, .85, 'Pearson corr = {:.2f}'.format(corr_coef))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlation of detrended data\n",
    "Trying both a linear detrend and subtracting the previous month's value.\n",
    "\n",
    "I'm not sure if I like the method of subtracting the previous month's value. Need to see if it is retaining the seasonal behavior."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-14T16:46:15.388853",
     "start_time": "2017-07-14T16:46:14.716923"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11c9d4f90>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlcAAAF7CAYAAAD/va5UAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119410090>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order = ['FRCC', 'SPP']\n",
    "FG_kwargs = dict(hue='region',\n",
    "                 aspect=1.5,\n",
    "                 size=5,\n",
    "                 hue_order=order,\n",
    "                 ylim=(-300, 300))\n",
    "\n",
    "detrend_df = gen_index.loc[gen_index['region'].isin(order)].copy()\n",
    "for col in order:\n",
    "    detrend_df.loc[detrend_df['region'] == col, 'monthly index (g/kWh)'] = detrend(detrend_df.loc[detrend_df['region'] == col, 'monthly index (g/kWh)'])\n",
    "    \n",
    "corr_coef = detrend_df.pivot_table(values='monthly index (g/kWh)',\n",
    "                                   index='datetime', columns='region').corr()\n",
    "corr_coef = corr_coef.iloc[1, 0]\n",
    "region_facet_grid(df=detrend_df, plot_function=plt.plot, x_axis='datetime',\n",
    "                  add_legend=True, y_axis='monthly index (g/kWh)', col_order=order, \n",
    "                  suptitle='Monthly Index (detrended)', FG_kwargs=FG_kwargs)\n",
    "\n",
    "plt.figtext(.55, .85, 'Pearson corr = {:.2f}'.format(corr_coef))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-25T11:39:23.178653",
     "start_time": "2017-07-25T11:39:23.172951"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def shift_detrend(series, n):\n",
    "    'Shift a series by n periods to detrend'\n",
    "    detrended = series - series.shift(n)\n",
    "    return detrended"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-25T11:39:56.729683",
     "start_time": "2017-07-25T11:39:56.189646"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11a5dee90>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlcAAAF7CAYAAAD/va5UAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ndQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a5dee50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order = ['FRCC', 'SPP']\n",
    "FG_kwargs = dict(hue='region',\n",
    "                 aspect=1.5,\n",
    "                 size=5,\n",
    "                 hue_order=order,\n",
    "                 ylim=(-300, 300))\n",
    "\n",
    "\n",
    "detrend_df = gen_index.loc[gen_index['region'].isin(order)].copy()\n",
    "for col in order:\n",
    "    detrend_df.loc[detrend_df['region'] == col, 'monthly index (g/kWh)'] = shift_detrend(detrend_df.loc[detrend_df['region'] == col,\n",
    "                                                                                                        'monthly index (g/kWh)'], 12)\n",
    "    \n",
    "corr_coef = detrend_df.pivot_table(values='monthly index (g/kWh)',\n",
    "                                   index='datetime', columns='region').corr()\n",
    "corr_coef = corr_coef.iloc[1, 0]\n",
    "region_facet_grid(df=detrend_df, plot_function=plt.plot, x_axis='datetime',\n",
    "                  add_legend=True, y_axis='monthly index (g/kWh)', col_order=order, \n",
    "                  suptitle='Monthly Index (detrended)', FG_kwargs=FG_kwargs)\n",
    "\n",
    "plt.figtext(.55, .85, 'Pearson corr = {:.2f}'.format(corr_coef))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-14T16:46:15.388853",
     "start_time": "2017-07-14T16:46:14.716923"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11c9792d0>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl8AAAF7CAYAAADsau6gAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xd4FOX2wPHvphMSUkhCQgk9VOlILyIoEIoURVCKYgFU\nVBBUEK964QfYJV7EAoqAiFea9HYVQXrvhCSEkJCE9N42O78/JrvZTTYNNgmE83mePLs7OzvzzmTL\nmfOeeUejKIqCEEIIIYSoEFaV3QAhhBBCiAeJBF9CCCGEEBVIgi8hhBBCiAokwZcQQgghRAWS4EsI\nIYQQogJJ8CWEEEIIUYEk+BLiDvXr149mzZrxyy+/mH3+hRdeoFmzZmzevNli64yMjGTbtm2Gx+PH\nj2fu3LlFzr9hwwZatmx5x+uzRPtbtmzJhg0b7moZJdm8eTOzZs0q8vm5c+cyfvz4Ui8vMTGR33//\n3RJNK7O73V8nTpygWbNmhIeHA/Dpp5+yfPlySzVPCGEBEnwJcRdsbW3ZtWtXoemJiYkcOXLE4uub\nM2cOBw4csPhy72fx8fF8+umnzJw502LL/PTTTy0aNFemKVOmsHLlSkJDQyu7KUKIPBJ8CXEXunbt\nyvHjx4mPjzeZvmfPHtq2bWvx9cmYyIWtWLGCrl274u3tbbFlVqX97OTkxLBhw1i6dGllN0UIkUeC\nLyHuQvv27fHw8GDv3r0m03fs2MHgwYMLzb9v3z5GjhxJ27Zt6du3LwEBAWi1WgCOHj3KQw89xN69\nexk4cCCtW7fmiSee4MSJEwC88847HD58mI0bN9KsWTPDMlNSUpg9ezbt27enS5cuLFiwgNzc3ELr\nXrBgAf7+/ibTwsLCaNasGZcvXy5xW0tqH6gZv5kzZ9KxY0d69uzJxo0bCy1n7969DBs2jIceeoiB\nAweyfPlydDodAD/88AOtWrXiypUrAGRlZTFkyBBefvlls23KzMxk3bp1DBo0yGT6mjVr6NevH23b\ntuWtt94iMzPT5PnIyEimT59Ohw4d6N69O2+++SbR0dEABAQE8Pvvv3Ps2DFD990777zDG2+8wfjx\n4+nYsaOhq/m3337j8ccfp02bNgwdOtRkeytifwFcuXKFZ599lrZt2zJkyBAuXrxYaBkDBw5k+/bt\nhm0UQlQuCb6EuAsajYbHHnvMpOsxPj6e48eP8/jjj5vMu3v3bl577TUGDRrE5s2bmT17NqtWrWLh\nwoWGeXJycvj666+ZP38+mzdvxtnZmTlz5qAoCnPnzqVTp04MGjSIgwcPGl6za9cu6tevzx9//ME7\n77zDqlWr2LJlS6G2jhgxgqCgIC5dumSY9scff9C8eXNatGhRqu0trn0Ar7/+OoGBgfzwww8sXbqU\n1atXmwSC+/fv56233mLChAls27aNWbNm8fPPPxuyMs8//zxt27blvffeIzc3l88//5zExESTfWTs\n+PHjpKen07NnT8O0TZs2sXDhQqZMmcLGjRvx9vZm69athufT09MZP3489vb2/PrrryxfvpycnBwm\nTpxIdnY2zz//PEOGDKF9+/YcPHgQHx8fQA2oBwwYwG+//caAAQP45Zdf+OKLL3jzzTfZunUrL7zw\nAgsWLDAJoMp7fyUlJTFp0iQ8PDxYv349b7zxBsuWLSu0n1q3bo2rq6t0WQtxr1CEEHfkkUceUf7z\nn/8ox48fV1q1aqUkJiYqiqIoa9euVSZMmKAoiqL4+fkpmzZtUhRFUUaNGqXMmDHDZBlr1qxRWrZs\nqSQnJytHjhxR/Pz8lL/++svw/J49exQ/Pz8lLi5OURRFmThxovL2228bnn/22WeVMWPGmCxz6NCh\nyr///W9FURRl/fr1SosWLUyeW7hwoeHxgAEDlB9//LHIbTRuf0ntCwoKUvz8/JTjx48bnr927Zri\n5+enrF+/XlEURXn66aeVRYsWmaxj8+bNSps2bZTc3FxFURTlxo0bSrt27ZRZs2YpzZs3V/7+++8i\n2xcQEKAMHDjQZNro0aOVd99912TaqFGjlGeffVZRFEX57bfflO7duytardbwfFZWltKuXTtly5Yt\niqIoypw5cwzzK4qivP3220qPHj1MltmrVy9l9erVJtOWLl2qPPbYYxW2v9asWaN06NBBSU1NNTy/\nevVqxc/PT7l586bJ6yZOnKi89957hfahEKLi2VR28CfE/a5jx464ubkZuhSL6nK8du0aTzzxhMm0\nzp07o9VqCQkJMUxr2LCh4b6zszOgZlCKYjw/gIuLS6FuNr2RI0fyww8/MHv2bM6ePUtERARDhw4t\neSOLWJ9x+wIDAwFo1aqV4fkmTZpQvXp1w+PLly9z/vx5fv31V8M0nU5HZmYmERER1KtXD19fX2bO\nnMm///1vxowZQ69evYpsS1xcHG5ubibTzO3ndu3acfXqVQAuXbpEfHw8nTp1MpknIyOD4ODgItdV\nt25dw/34+Hiio6NZvHgxn376qWG6VqslNzeX7Oxsw7Ty3F/Xrl2jYcOGJq9p166d2fa7u7sTGxtb\n5PYJISqOBF9C3CWNRsPjjz/Orl276Nu3L6dOneKLL74oNJ+Dg0OhafouJhub/I+inZ1dofmUYgrA\nrawKVw8UNf/QoUP55JNPOHr0KLt376Z3797UrFmzyGWbU1T7NBqN2XXb2tqa3H/hhRfMBny1atUy\n3L948SLW1tacOHGCrKws7O3tzbZFo9GY1D/ppxVUsA1NmjTh66+/LjSfPjgyx/j/p1/evHnzePjh\nhwvNW5r/pyX2l0ajKfb1xnJzc82+V4QQFU8+iUJYwMCBAzl06BCbNm3i4Ycfxt3dvdA8jRs35tSp\nUybTTp48ia2tLb6+vqVaj7nAoixq1qxJ79692b17N/v27WPEiBF3tTxjzZs3B+D06dOGaeHh4SQm\nJhoeN2nShNDQUOrXr2/4CwwMNAlW9+3bx+bNm/n+++9JTk7m888/L3Kdnp6ehc40bd68eaH9fOHC\nBcP9pk2bEh4ejqurq6ENNWvWZOHChYZsVEn72dnZmVq1ahEeHm6yLYcOHWL58uWlCnIssb9atGhB\nSEgISUlJZrfVWHx8PF5eXiW2SwhR/iT4EsICOnTogIuLC19//bXZLkeAqVOnsmPHDr7//ntCQ0PZ\nsWMHS5Ys4cknnyw242KsevXqhIeHExERccdtHTlyJBs2bCArK4u+ffve8XIKatCgAY8++igffvgh\nx44d4/Lly7z99tsmgcjUqVPZtm0b3333HaGhofz111+8//77ODg4YGdnR3x8PO+//z4TJkygR48e\nzJs3j5UrV3Ls2DGz62zTpg03b94kNTXVMG3y5Mns2LGDlStXcv36dZYuXcrJkycNzw8dOhQ3Nzfe\neOMNzp8/T2BgIDNnzuTs2bM0bdoUUPdzdHQ0N2/eNJyNWtDUqVP56aefWLduHWFhYWzZsoVFixbh\n6elZYftr0KBBuLi4MHv2bAIDAzlw4ABLliwptC5FUbh69Wq5DH8ihCg7Cb6EsAArKysef/xxsrOz\nGTBggNl5evXqxeLFi9m0aRNDhgzhk08+YcKECcWOUF/QM888w/Xr1xk8eDAxMTF31Na+ffvi4ODA\nkCFDzHaJ3Y1PP/2ULl268MorrzBp0iQeeeQRk2Ckd+/efPzxx2zZsoUhQ4bw/vvv88QTT/DRRx8B\n8MEHH+Do6Mjrr78OwOOPP07//v155513TAIsvc6dO+Po6GgSnPXv35+FCxfyyy+/MGzYMM6ePcuT\nTz5peN7BwYEff/wRBwcHJk6cyNixY9FqtaxcudLQBTty5Ehyc3MZPHiwydmhxsaOHcuMGTNYvnw5\ngwcP5ssvv2TatGm8+uqrFba/nJycWLlyJVqtlieffJKPPvqIF198sdB6Ll++TFpaGn369Cl124QQ\n5UejFFdMIoSochISEujVqxfr1q0zKfa+X3388ceEh4ebzfgI1YIFC0hOTmbx4sWV3RQhBFJwL8QD\nIyEhgWPHjrFp0yZat25dJQIvUK+h6e/vT3h4uMkZiUKVnJzMjh07WLVqVWU3RQiRRzJfQjwgYmJi\nGDRoEF5eXgQEBNC4cePKbpLFbNy4kYMHD/LZZ59VdlPuOR9//DGurq689NJLld0UIUQeCb6EEEII\nISqQFNwLIYQQQlQgCb6EEEIIISqQBF9CCCGEEBVIgi8hhBBCiAokwZcQQgghRAWS4EsIIYQQogJJ\n8CWEEEIIUYEk+BJCCCGEqECVHnytXr0af39/hgwZwtSpU4mLiyM3N5f58+czcOBABgwYwNq1aw3z\nh4aGMm7cOAYPHszo0aMJDg6uxNYLIYQQQpRNpV7b8cKFC6xYsYLNmzfj7OzM4sWL+eqrr2jWrBk3\nbtxg69atpKWlMWbMGFq1akWbNm146623mDhxIkOHDmX//v1Mnz6drVu3otFoKnNThBBCCCFKpVIz\nX61bt2bXrl04OzuTlZVFdHQ0rq6u7N27l5EjR2JjY4OLiwv+/v788ccfREdHExISgr+/PwB9+vQh\nIyODS5cuVeZmCCGEEEKUWqV3O9ra2rJ371569+7N8ePHGTlyJJGRkfj4+Bjm8fb2JioqisjISLy8\nvLCyym92rVq1iIqKKnL5CxYsYMGCBeW6DUIIIYQQpVWp3Y56/fv3p3///vz2229MnjwZG5vCzbKy\nskKn05l9vbW1dZHLvnLlCmlpaZw8edJi7RVCCCGqko4dO1Z2Ex4olRp83bhxg5iYGDp16gTAqFGj\n+Ne//kWnTp2IiYkxzBcdHY23tze1a9cmNjYWRVEMNV7654pTvXr1+/aNdfLkyfu27QVVpW2BqrU9\nVWlboGptT1XaFqha21OVtkVUrErtdoyJiWHGjBnEx8cDsGXLFpo2bcpjjz3G+vXr0Wq1JCcns23b\nNvr374+3tze+vr5s374dgAMHDmBlZYWfn19lboYQQgghRKlVauarU6dOTJkyhQkTJmBtbY2Xlxf/\n+c9/8PHxISwsjOHDh5OTk8OYMWN4+OGHAfj888+ZN28e33zzDXZ2dnz11VcmNWBCCCGEEPeySq/5\nGjduHOPGjSs0fe7cuWbnb9CgAatWrSrvZgkhhBBClAtJGQkhhBBCVCAJvoQQQgghKpAEX0IIIYQQ\nFUiCLyGEEEKICiTBlxBCCCFEBZLgSwghhBCiAknwJYQQQghRgST4EkIIIYSoQBJ8CSGEEEJUIAm+\nhBBCCCEqkARfQgghhBAVSIIvIYQQQogKJMGXEEIIIUQFkuBLCCGEEKICSfAlhBBCCFGBJPgSQggh\nhKhAEnwJIYQQQlQgCb6EEEIIISqQBF9CCFFAv379aNasmeGvZcuW9O7dm0WLFpGWllbZzXug7Nmz\nh4EDB9KmTRsmTJjAjRs3ip3/4MGDDBs2jDZt2jB8+HCOHj1q8vzjjz9u8r9t1qwZO3fuLM9NEKIQ\nm8pugBBC3ItmzJjByJEjAdDpdAQHBzNr1ixSUlJYsGBBJbfuwXDp0iVmzJjBO++8w8MPP0xAQAAv\nv/wyW7duxcam8M/XlStXmDJlCtOmTcPf35///ve/TJs2jR07duDl5UV2djY3b95k5cqVNG7c2PA6\nFxeXitwsISTzJYQQ5lSvXh1PT088PT2pVasW3bt3Z8KECezatauym/bAWLVqFX369OGZZ56hadOm\nLFq0iOjoaA4cOGB2/u+++45evXoxbdo06tevz8yZM6lfvz7nzp0DICQkBJ1OR9u2bQ3/W09PT+zs\n7Cpys4SQzJcQQpSWjY2NyQ/1/v37+fzzz7l+/Tr16tXj+eefZ9SoUYbnf/rpJ9auXUtERASOjo70\n7duXDz74AEdHRwICAjh79iyKonDmzBnee+89HnroIT788EMuXLiAvb09jz76KIMHDzYsb/v27Sxb\ntozQ0FB8fHyYMmUKI0aMACAgIICrV69St25dNmzYgE6nY/jw4cyZMwdra2uz27N27Vp++uknoqKi\n8PPz491336VDhw4AHD58mC+++ILAwEDc3Nx45plnmDx5MhqNxmzbN2zYQOPGjTl69CiJiYmsXr3a\nJLsUHh7Oo48+arYdI0aMYNGiRYWmnz59mrFjxxoeOzo60qpVK86cOcMjjzxSaP7Dhw/z7rvvGh5r\nNBo2bNhgeBwcHIyPjw/VqlUz2w4hKooEX0IIUQKdTseFCxdYvXo1/fv3B+DatWtMnz6dOXPm0K1b\nNy5cuMAHH3yAg4MD/v7+bNmyhYCAAD799FP8/Py4cuUKs2bNomXLlkyaNAmAAwcOMGPGDObMmYOb\nmxvPPfcczZs3Z8GCBSQkJPDmm2+i1Wrp0aMHW7du5Z133mHOnDl0796dgwcPMm/ePNzc3Ojbty8A\nf/31FyNGjGDdunWcPXuWd999l65duzJgwIBC27R+/XoWLVrEvHnz6Ny5M7/++isvv/wye/bsISgo\niBdeeIFXXnmFxYsXc/78eT744AOqVavGM888Y7btGzZs4Pfff+fbb7/F2dnZJPAC8PHx4eDBg5w7\nd442bdqYPOfg4GB2v0dHR+Pl5WUyzcPDg6ioqELzpqSkEB8fj62tLa+++iqnTp2ifv36zJ49m/bt\n2wMQFBSEnZ0dU6ZM4fz589SpU4dXXnmFPn36lPAOEMKyJPgSQggzFi1axGeffQZAdnY2Go2Gfv36\n8dZbbwHwww8/MGzYMMaMGQOAr68vYWFhrFixAn9/fzw9PVm0aJEhQ1OnTh0efvhhAgMDDeuoVq0a\nL730EhqNBlCzQ127dqV27dr4+vryzTffGOZfsWIFTz31FOPGjQOgQYMGXLt2jWXLlhmCLwcHB+bN\nm4ednR0NGzZk5cqVnD9/3mzw9csvv/D0008zevRoAGbNmgVAUlISP//8Mz179mTatGkANGzYkKio\nKJYtW2YIvgq2HaBr16706NHD7P60trbG09MTV1dXPD09S/U/yMzMxN7e3mSanZ0d2dnZhebVnwgx\nf/58pk2bxrRp09i0aROTJk1i27Zt1K1bl+DgYJKSkhg5ciSvv/46O3fuZMqUKaxZs8aQ8ROiIkjw\nJYQQZrz88ssMGzYMAFtbWzw8PEy6HK9du0ZgYCBbt241TNNqtYZC8K5du3Lx4kW+/PJLQkJCCAoK\nIiQkhCeeeMIwf506dUyCl9dee43FixezYcMGevbsyYABA/Dx8QHULjN9xkyvY8eObNu2zfDYx8fH\npI1OTk7k5OSY3b7g4GCee+45w2MrKyvefvttQM0QDR06tNC6PvvsM5KTk822HaBevXpm1wVw69Yt\n/P39yc3NLdQNOnToUD766KNCr3FwcCgUaGVnZ5vtNtTv9yFDhhgCxJYtW3LkyBH++9//8uabb/LZ\nZ5+RlZWFk5MTAC1atODKlSsSfIkKJ8GXEEKY4ebmRv369Yt8Pjc3l/Hjx/P000+bfX7Dhg188MEH\njBw5kl69ejF16lQCAgJM5imY1Zk0aRIDBw5k3759HDhwgNmzZ9O9e3c6depUaF5Qu0Nzc3MNj21t\nbUu9fba2tiiKYvY5c+vSz6tfn7l5iuo+BPDy8mLTpk1cuHCB1q1bmzynD4YKqlWrFjExMSbTYmJi\n6Ny5c6F5XV1dsbW1pUmTJibTGzVqxK1btwB1mwvuo8aNG3P+/Pki2y1EeZCzHYUQ4g40btyYGzdu\nUL9+fcPf4cOHWb16NQA//vgjkydP5oMPPuDJJ5+kefPm3Lhxo8iAJysriwULFpCTk8MzzzzDsmXL\neP/99zl06BCgBhGnT582ec3p06cL1VaVVoMGDbh06ZLhsaIoDBkyhF27dpld16lTp6hZsyaurq53\ntD4bGxvq16+Pt7e3yT6rX78+NWvWNPua9u3bc+LECcPj9PR0Ll26ZKjhKrj8tm3bcvHiRZPpwcHB\nhozcyJEj+frrr02ev3jxIo0aNbqjbRLiTknmSwgh7sDzzz/PU089xbJlyxg0aBCXLl1i8eLFvPLK\nK4Ca6Tl69ChBQUEoisJPP/1EUFAQfn5+Zpdnb2/PqVOnCA0NZdasWVhbW7Nnzx5DcPXSSy8xffp0\n/Pz86NatG//88w/r16/n//7v/+6o/ZMmTeK9996jRYsWtG3blnXr1hEbG0vnzp3x9fVl1KhRLF26\nlEGDBnHx4kW+/fZbXnjhhUJdjeVp3LhxPP3006xcuZLu3bsTEBCAj48PPXv2BNSasJSUFNzd3bG2\ntubFF1/k1VdfpUWLFnTt2pV169Zx8+ZNw3ht/fr148cff6R58+Y0adKEjRs3cvr0abNdnkKUJ8l8\nCSHEHWjdujVLlixh+/bt+Pv78/HHHzNlyhQmT54MwNy5c9FoNIwaNYrnnnuO7OxsXn75ZZNsU0Ff\nfvklVlZWjBs3jtGjR2NnZ2cI5vr168e//vUvfvzxR4YMGcIvv/zC/PnzDXVpZeXv78/rr7/Ol19+\nybBhwzh16hTfffcd7u7utGjRgoCAAHbu3MnQoUP58ssvefXVV5kyZcodretOPfTQQ3z88cesWrWK\n0aNHk5yczLJlyww1Y9u3b6dnz55ERkYC0LdvXxYvXmzYR0ePHuWHH36gbt26AEydOpXnn3+e//u/\n/2Po0KH8888/rFixotjuZSHKg0YpKgdeRYwfPx5QB+u7H508eZKOHTtWdjMsoiptC1St7alK2wJV\na3uq0rZA1dqeqrQtomJJ5ksIIYQQogJJ8CWEEEIIUYEk+BJCCCGEqEASfAkhhBBCVCAJvoQQQggh\nKpAEX0IIIYQQFUiCLyGEEEKICiTBlxBCCCFEBZLgSwghhBCiAknwJYQQQghRgSo9+Nq8eTPDhg1j\n+PDhPP3005w/f57c3Fzmz5/PwIEDGTBgAGvXrjXMHxoayrhx4xg8eDCjR48mODi4ElsvhBBCCFE2\nNpW58pCQED755BM2bNiAl5cX+/fv57XXXuPFF1/kxo0bbN26lbS0NMaMGUOrVq1o06YNb731FhMn\nTmTo0KHs37+f6dOns3XrVjQaTWVuihBCCCFEqVRq5svOzo758+fj5eUFQOvWrYmNjWXnzp2MHDkS\nGxsbXFxc8Pf3548//iA6OpqQkBD8/f0B6NOnDxkZGVy6dKkyN0MIIYQQotQqNfNVt25d6tatC4Ci\nKCxcuJB+/foRGBiIj4+PYT5vb2+uXr1KZGQkXl5eWFnlx4y1atUiKiqKVq1aFbmetLQ0Tp48WX4b\nUs7u57YXVJW2BarW9lSlbYGqtT1VaVugam1PVdmWjh07VnYTHiiVGnzppaen88477xAVFcUPP/zA\nk08+WWgeKysrdDqd2ddbW1sXu/zq1avft2+skydP3rdtL6gqbQtUre2pStsCVWt7qtK2QNXanqq0\nLaJiVXrB/a1bt3j66aextrbm559/pkaNGvj4+BATE2OYJzo6Gm9vb2rXrk1sbCyKohR6Ttxjoi/B\ntb2V3QohhBDinlOpwVdiYiLPPvssjz32GF988QUODg4APProo6xfvx6tVktycjLbtm2jf//+eHt7\n4+vry/bt2wE4cOAAVlZW+Pn5VeZmCHN2vQu/jgOjQFkIIYQQldztuHbtWiIjI9mzZw979uwxTF++\nfDlhYWEMHz6cnJwcxowZw8MPPwzA559/zrx58/jmm2+ws7Pjq6++MqkBE/eIzCTIzQJtFtg6VHZr\nhBBCiHtGpQZfU6dOZerUqWafmzt3rtnpDRo0YNWqVeXZLGEJORnqrTZTgi8hhBDCiKSMRPkwBF9Z\nldsOIYQQ4h4jwZcoH9pM01shhBBCABJ8ifKSI8GXEEIIYY4EX6J85KSrtxJ8CSGEECYk+BKWp8sF\nXY56X2q+hBBCCBMSfAnL0xfbg2S+hBBCiAIk+BKWZxxw5UjwJYQQQhiT4EtYnr7eCyTzJYQQQhQg\nwZewPONsl9R8CSGEECYk+BKWp5WaLyGEEKIoEnwJyzPJfEnwJYQQQhiT4EtYnmS+hBBCiCJJ8CUs\nT4aaEEIIIYokwZewPJPgSwruhRBCCGMSfAnL00rNlxBCCFEUCb6E5UnmSwghhCiSBF/C8oyDL+P7\nQgghhJDgS5QDrWS+hBBCiKJI8CUsT8b5EkIIIYokwZewPK1cXkgIIYQoigRfwvJMLqwtNV9CCCGE\nMQm+hOXJhbWFEEKIIknwJSxPLi8khBBCFEmCL2F5+syXtZ1kvoQQQogCJPgSlqev+XJwlcyXEEII\nUYAEX8LytJmgsQZ7J9P6LyGEEEJI8CXKQU4G2DqCjYNkvoQQQogCbEo7Y3BwMEePHiUyMhIrKyt8\nfHzo0aMH9erVK8/2ifuRNhNsHfKCL6n5EkIIIYyVGHwdOnSIJUuWEBQURIsWLfD09ESn03H8+HEW\nLVpEy5YtmT59Ol27dq2I9or7QU4G2FTLz3wpCmg0ld0qIYQQ4p5QbPA1Z84cEhISmDJlCj169MDW\n1tbk+ZycHPbv38+3337L5s2bWbhwYbk2VtwncjLA0R1s7AEFcnPAxq6yWyWEEELcE4oNvoYOHUq3\nbt2KfN7W1pb+/fvTv39/Dhw4YPHGifuUNhNs8zJfoI77JcGXEEIIAZRQcF9c4FVQr1697roxogpQ\nFKNuR3t1mtR9CSGEEAalKriPjo5m6dKl3Lx5E61Wa/Lczz//XC4NE/ep3BxQctWCe9tq6jQ541EI\nIYQwKFXw9dZbb6HVaunbt2+hui8hTOgvLSSZLyGEEMKsUgVfFy5c4NChQ1SrVq282yPud/pBVY1r\nvnIyip5fCCGEeMCUapDVhg0bkp6eXt5tEVWBPvNlK5kvIYQQwpxiM1+7d+8GoFOnTrz44ouMHTsW\nFxcXk3kee+yx8muduP/os1w2DkZnO0rNlxBCCKFXbPC1aNEik8fffPONyWONRiPBlzCVY5z50gdf\nkvkSQggh9IoNvvbs2YO1tXVFtUVUBVozNV+S+RJCCCEMiq356tKlC2+88QYbN24kLi6u3BqhKArv\nvPMOy5cvByA3N5f58+czcOBABgwYwNq1aw3zhoaGMm7cOAYPHszo0aMJDg4ut3aJO2DS7aiv+ZLg\nSwghhNArNvj67LPPqF27NqtWraJ3796MGjWKJUuWcPbsWYs1IDg4mIkTJ7Jjxw7DtF9//ZUbN26w\ndetWfv+A8cZmAAAgAElEQVT9d1auXMm5c+cAddiLsWPHsn37dl577TWmT5+OoigWa4+4S2a7HSX4\nEkIIIfSK7Xbs06cPffr0ASA5OZljx45x9OhR5s2bR1xcHD169ODjjz++qwasWbOGkSNHUrt2bcO0\nvXv38tRTT2FjY4OLiwv+/v788ccf1KpVi5CQEPz9/Q3t+/DDD7l06RKtWrW6q3YIC9EHWpL5EkII\nIcwq1VATADVq1KBZs2Y0adIEPz8/bGxsOH/+/F034P333+eJJ54wmRYZGYmPj4/hsbe3N1FRUURG\nRuLl5YWVVX6za9WqRVRU1F23Q1iIIfPlaDTCvRTcCyGEEHrFZr4UReHkyZP8+eef/Pnnn4SHh9O5\nc2f69OnD9OnT8fX1LZdGmetGtLKyQqfTmZ2/pJMC0tLSOHnypEXaVhnup7Z7Xg/EFwi+eQudTRJN\ngYgbIUTZqdtwP21LaVSl7alK2wKVvD2KQu2rP2KlTSe81TTQlPo41yz539y7qsq2dOzYsbKb8EAp\nNvjq2rUrjo6O9OrVixkzZtC9e3ccHR3LvVE+Pj7ExMQYHkdHR+Pt7U3t2rWJjY1FURQ0Go3Jc8Wp\nXr36ffvGOnny5P3V9syDcAEa+7UCeyc4CnW83KnTseP9ty0lqErbU5W2Be6B7dk9D66tBqBWk/bQ\nY/odL6rSt8XCqtL2VKVtERWr2MMxJycnFEUxZJyMu/vK06OPPsr69evRarUkJyezbds2+vfvj7e3\nN76+vmzfvh2AAwcOYGVlhZ+fX4W0S5SC4fJCMsiqeEAdCoBDS6BmU3CqBfs+hIiqkR0RQlhGsZmv\nffv2ERQUxJ9//smKFSuYNWsWHTp0oE+fPjzyyCPUq1evXBo1duxYwsLCGD58ODk5OYwZM4aHH34Y\ngM8//5x58+bxzTffYGdnx1dffVVhQaEoBZMLa8sgq+IBo82C/81Xg67xGyE+GH5+An6fDK8eB2vb\nym6hEOIeUOKFtZs0aUKTJk148cUXSUxM5O+//+bAgQN8//33ODs7G7JQd8t4NH0bGxvmzp1rdr4G\nDRqwatUqi6xTlANzF9aWzJd4UESeVd/vLSeAaz3176En4fxvEBcMXs0ru4VCiHtAqVNGqampnD17\nlsDAQMLDw8nKyjIZHkIIAHLyLsBucmFtCb7EAyLsiHpbr0v+NI+m6m1yRMW3RwhxTyrx8kLHjx/n\nxIkTXL16lYYNG9KjRw9eeeUVOnfujL29fUW1U9wvTMb5ksyXeMDcPKre+nbNn1Yj7yA1+VbFt0cI\ncU8qNviaM2cO3bp1Y+zYsfTs2dNk7C0hzDIe4d7aTr0vNV/iQaAoauarRl1wqZs/3TnvezMlsnLa\nJYS45xQbfB05cgRra2tu376Nl5dXoed/++03nnrqqXJrnLgPGV9Y2xB8SeZLPADigiE9FlqPMp1e\no456K92OQog8xdZ86QcvnThxosmFtSMiIpg0aRKfffZZ+bZO3H9yjM52tLJRB5eUzJe4X4UdgfO/\nl27em/p6r66m02vkZb6SJfMlhFCVquC+f//+TJgwgbi4ONasWcOQIUNwc3Oz2JmOogrJyVAzXlZW\noNGodV/6gEyI+82e92HDS5CbU/K8+mJ73y6m0+1rgJ3T/VHzFbQX1o7NP2tZCFEuShxqAmDmzJnY\n2dnRv39/3Nzc+OKLL+jbt285N03cl7SZatZLz8ZeMl/i/pUSCUoupMeBc/FX0uDmUTXI8mplOl2j\nUeu+Uu6D4OvCBri6HW5fhDoycrsQ5aXY4OvixYuG+/369SM0NJSrV6/i5uZmeK5Vq1ZFvVw8iHIy\n8i+oDWrmqyJrvjIS1K5OB5eKW6eoutJi825jig++0uMhNhAa9QVrM1+rNWpD3DU1o2TrUB4ttYyM\nBPU2Pb5y2yFEFVds8DVq1Ciz08eMGQOARqPh8uXLlm+VuH/lZJj+uNg4VEzma9+/4eSPaobC3gVm\nXFKvLSnEncpOyx+3Li2m+Hljrqq33m3MP68fbiIlEtwblr0tOh2E/AkN+5gP7iwlI1G91QedQohy\nUeyn+MSJEzg5yQ+YKANthmnWycYBMpPKd52KAse/V+tyXOpB0k2IC4La7cp3vaJqMw640uKKng/U\n9xvkD6hakPFYX3cSfJ1cAdtmwpMrodUTZX99aWXmBV/pJWyvEOKuFFtwP3z4cCZPnsyaNWuIjo6u\nqDaJ+5WiQFYK2DvnT7OxL/9ux/R4NcBr1Be6TlWnJd4o33WKqi/VOPgqIfMVd029rdnE/PN3O9aX\n/ozL8i7az5DgS4iKUGzwtW/fPl5//XViYmJ46aWXGDlyJF9//TWXLl2qqPaJ+0l2Gui0UM01f5q+\n5ktRym+9+qyDeyNwra/eT5Dg64Ggy4XTq8snu5pWluArWL2tWVTm687H+rLNiIGww+qDrOQyv75M\nDDVfd9DtmBQB1/Zatj2KAld3QGyQZZcrRCUrcaiJNm3a8MYbb7B582YCAgKoUaMGH3/8Mf379+fD\nDz+siDaK+4W+y8LBOPiyB0WnBmXlJV7/w9cE3PTBV2j5rU/cO86tg82vwKlVll92ccFXUjgs6wnX\nD6iPY6+ptYbVPcwv6y7G+nKNPJD/ILMcgy9tllo2AHdWcL9rDqwZDSkW7CUJ/h+sfRq+7ghLu0PI\nfsstW4hKVOoLawPUqVOHCRMm8NNPP7Fx40Y6depUXu0S9yN9l4Vx5kt/5mN5dj3qM181m+RnvqTb\n8cFwZZt6Wx6X7jEJvgpkgi6sh6jz6kkeulyIDwGPJuqwEubcRebL/dZf+Q/KM/Ol//zCnXU7RpwC\nFMv+L/Sfbc8W6vAXR5ZabtlCVKJSnTbz7rvvmp1ua2tLYGAgvXr1kkBMFJ35gvIdtNE4+HKoAdXc\nJfP1IMhOh6B96v2SugXvhPEyC3bDhfyl3gb/qb7XdDlF13sBOHqAlW3ZA5OkCJwSLoBnc4i5Ur7B\nV6ZR8FXWsx3T4yEpLO++Bc+UTLqp3g5bombAYq9ZbtlCVKJSZb5sbGzYsmULWVlZeHh4kJOTw7Zt\n24iOjub69eu89NJLbNy4sbzbKu515jJf+jMfk8PLb71xwWBbPX8cJrf6kBimnp4vqq6Qv/K7ycpj\naAR98GVlYxqI5WTCjUPq/Yx4NQsGRdd7gXrFB2ef0hfM/7MEvmoL3z+iPu4wQb0tz25Hfb0XlD3z\nFXUu/35JZ4aWRWJe8OVSDzz81EBXBm0WVUCpgq+IiAiWLl3K559/zsyZM/n000/57rvv0Gq1LFmy\nhO+//55vv/22vNsq7nXmMl+N8n48AneVzzp1OjX4qtk4v8vHrQHkZkNqVPmss6rLToMtr6tdafey\nq9vy75dn5qtmU9Pg7uYRtRvd1Vd9fGJF3nyNi19eDR9IiVK7KYuj08GhJWoBu8aa9BpNoO1Y9bJd\nFdXtmJFQcjuNRRoFXxbNfIWrGUOnWuowHkouxF+33PKFqCSlCr7OnTtHjx49TKZ17tyZM2fOANCx\nY0du375t+daJ+4u5zFeT/uqX55Vt5l9zt1JuqdkP4x8+Vym6vyvB/4OTP8GZtZXdkqLpcuHqTqju\npWZFymNohLRYNXNbwweyU9VuTsjvcnxkLqDJ70osaowvvRq11eAhtYTvyqhzauDX5imYeZnLfb4D\nR3f1GpFlyXzdvgL/W1D6a6sadzuimGbCSmKS+bJwt6NLHTVz6OGnTosNtNzyhagkpQq+fH19WbvW\n9Iv4t99+o3ZtdeDAc+fOUatWLcu3TpQfnQ6iL1l2CAhzmS+HGtCwF0SdwzajHAL0OKMzHfXcGqi3\nMtzEnUnNO1st7R4+oAo/rmZYmg2E6p7qD76lhzNJva0Gd9U91cf6jE7wn+oBRYuhpgP5ujcqfnn6\novvlA9TMYlHdc0F5wzU07mc63aFG2TJf+xfB3x/Dnn+Vbn79wZNjTfW2pIBWUfL3eeTZ/OmWynxp\ns9T3oks99fHdBF8ZCZBbjmdcC1FGpQq+5s2bR0BAAIMGDWLy5MkMGjSIgIAAPvjgA86dO8f48eOZ\nPn16ebdVWIo2G9ZPhm+6wZk1lluuucwXQLPBALhGHbLcuvSMi+313OSMx7uiz8yUlKGpTPohHpo+\nrgZHuVnqAL+Wosu7mHZ1z/zgKy1WLSyPPAv1uoBd9fwAqUZd9XFxOj0PLYap7Tz5E+x82/x8QfsA\nTeHgqyyZr1ytmsEEOPZtfkBXHH2myz0vi1xcBkunQ1nWAza/qnZTx17Lv6B4aWq+Ik5B+Mni58k7\nM3RXhC0Hr8XmZxbLGnyl3obPWsDhgLK9TohyVKrgq3379uzdu5epU6fSpUsXpk2bxp49e+jYsSN1\n69Zl9+7dDBo0qLzbKiwhJwPWPQMXN6iPz62z3LLNZb7AKPj6x3Lr0jOX+ZJux7ujz3yVIfjK1ur4\n6Z/r7L0UTUpmTjk1zIh+yIaajfPH1rJkrVF6PKCoy9YvPy0Wru9Xpzfqq07TB0gexZzpqFezMYxZ\nBbNDwKcdnP9v3vAMRjKT4OZRqNNR7Wo05lBD7WLPLcX+jTihLqt+TzVLt2layWN36T+/+s9SMZmv\nnIwkNNEX4cxqrm35DFC4XK0tOo01Smn+D78/B788VThbeXkLrMwLUPOK7a9kuLB45xUUF1+wti97\n8JVwQ91vUedLN78U9IsKUGzwtWtXfpG0s7Mzw4YN46WXXmLo0KFUr64e5bm7u1OrVi22b99evi0V\nlnFyJVzbrdZi+bSD0H8sV6NRVObLpQ74tMUp7qzlRyI3Ht3esL56oLGSbsc7lVL24Gvb+Vt8sOUS\nL/x8gvYf7WHT6bKPZ1Um+jorZ5/8bjJLnmWnL7Y3yXzFwI28keYb9lZv63WBds9A5xdKv2wra3js\n3+r9Pe+bBiAh+9W6sCb9C7/OvoZ6W5rs17Xd6m23V6DPbDWg1p+VWRT951dfP1lM8HU5JP+z1fDc\nFwB8f60GcToncpKLf99ocrPVz2Z6bP7Bk96lzWqAe/2AWmwPRCgenI9I4uiNJDUwjL1Wti5mfVdt\naU7KCNwN82tB2JHSL1+IO1Bs8HX27FmeffZZ/vjjD9LT0ws9n5KSwoYNG3jqqac4f76URxWicsVe\nVW8H/Btaj1K/6C1VDJ+ZqB5l2zoWfq6ZP1aKVv1ys6S4IPXH1zhLYGOn1tfcb92OsUGw98PSZTbK\nU17mS0m7zSurT/LH2ZKHRzgRqnZZjWxfB61OYc/lcr4WbPIt9X3m4GIaHFmKvt6tYPAVcUJ9j/u0\nVadZ28ITS9X6r7Jo2BuaPgahB0zPBNZ3D5oLvvTDtmSV4gDm2h717Ej9ekAdJ6w4mQWDr6IPyi4G\nq2N6KWiw0ahDutj7diBecUZjJmi7GZ9OTq46n11GNJAXPIUfM51RH/CHHTaM8XVLUTOPPxwIUbse\ns1PLNl6avju6NAeZp1aqbYsooUtUiLtUbPA1e/ZsZs+ezfbt2+nWrRvDhg1j8uTJTJo0CX9/f7p1\n68auXbuYN28eb79dRP2CsLzoS7D7vTsrIM07msSlLrQcpt6//Idl2pWRqGa9zI3y3XK4envRguPB\n5eaoAZa7mVP83RqoP9D3UxfCthlw8PO8rq1KlPcDqNFm8veFEH49FlbiS06FJeJga8XCUQ9Rzdaa\n4Nup5dvGlCh1XDeNpny6HfU/1E6e6gCpoHZ1Rp0H79Zg63D36xjwEWisYfssNUBIuAEXN6mDBNfp\nUHh+/QXrS6ptS4lSzz707Qb2Tvm1UjFXi39dRoLaHn23fTHdlEFhamCU/dA49fqtNg4M6NWTeKUG\ntjnJJgcQQbdT6fPJn/x8WD0Ysk83GgIm/LjpgvX7PeyIUfBVkxY+Ndh7+TaXc9Sx/M6dKfC64pQ2\n85WVogatUP4XMI+5Cof/U77XvBX3tBJHuG/Tpg3Lli0jJiaG48ePExkZiZWVFd7e3nTp0gV3d/eS\nFiEs7fj36thCzYeCb5eyvTbxpnoE7VBD/fNpq546n5EA1dzurl2ZiYXrvfS8mpPh3JBqQXvUrkf9\nUfzdiA9Rrxnp6Vf4Odf6wAF1e0tTj1PZbp3JD7pir5nPfFQERcmv+QI8NEmExhb/GU/N0nI1KplO\n9d2xt7GmsVd1AqNTydUpWFsVcbmdu5Gbo/6Q6s9+My6ItxSTbse84Cv4f+r4cXUsdDUPrxbQawb8\n/QnsfAduX1azWsMC1K7Jgkrb7ajPnjUdoN7aVVfHJCupVioj0TSTWES3Y0Z2LrdvR4MN2NdtC62H\ngTaDxt6unMc5/7V5gx4H3U5Bp8D5cDWzZpduFNgUCr7yMl+3TqulA0Cagzdv9WvCtDWn+OaiNUvs\nYO+BA7TpPbz47dHTB6vpcepZ3lZF5BwCd6knbkD5XK7K2D9L4MxqqN8darcv33WJe1Kpr+3o6enJ\n4MGDmTx5Ms899xyDBg2SwKuypOQdOZb1SF9R8sbNqZc/reVwNYC5uuPu2qQo+ZmvIsTX7qv+eN3t\nuvT0R/Ie5oKvvAEwk0rO2twTDi3Jv1+Zl1DJSFAvlZPHk0RuJWWSkV30gJtnbyaiU6B9ffV/38TT\niWytjpvxhUsVLCIlClDyL1ZtqPkq5+BLX19YtzOxqVlM+vEY58MLdwF+tvsqKw+Flm49vWerZwme\nXq12dbV5GtqPNz+vQ17wVdJwE/pLLum7GwE8mqlBtfFAqgVlJqoHYCXsz+Oh8TgreZlNB1d1uI9W\nI6jr5kiSxqXQa28nZ/Kk9V8kxqoBjSHzZVsdoi9CVt6y9GeYAuhyUG4eJU6pQU1XVx5v5c20vo3p\n2PFhAGpm3ij2PWlCH3wpuuLHLjPOyt/BBdDLRB/cRV8q3/WIe1aZLqwt7hGG4KuMBcaZSZCdyvlU\nZyIS8wZebOav3uoHjjQjMimDP6/cJjWrmG7OnHT1R7uozBeQULuveufChrK1uyj6I3mPZoWf0weB\nli7wLw8JoeoXv347KnMQSX3NTV7WwUOj7r/QuLQiX3LyhvqD1sFXzZw28XIC1O6mcqF//+svJ1VS\nt2N2WtmHoTAOvuyqq4GCXt1ObDsXyV9XY/j1uGlwH5OSRcD/gvhibyBKgS6l9GwtJ0LjTafb2Kk1\nY1a26v9/yOdFX5y7tJmvW6fUrkvjgxLP/PeWoijcjE8nS2sUvBgfPNk5gk21Ir9f/gmOxYW894NR\nttzaSoOSF7jpjIIvu4gjfGL7HQPi1GFt7NPzAo8WQ9SA6NZp9XF6PCg6tNbVANCgEK54UNu1GtZW\nGmYPbM7EIWpGuBG3CI4p5fvL+H9fVNdjVqqaMfRoBk7e6uDN5UnfjtsSfD2oJPi6H+l/fMp6pJ9X\nQ3EqyYkXVp4gLUurfkHbOavdXkV49ZfTPPfTcdp/tJvnfzpuPggr6kxHI1lO9cD7IbX7piyjZxdF\nH6SY63bUd2vqf6gyEmD77GK3s9IcWab+CPWepWYl9RmWyqDvcsy7TqEh+IotOvg6FVZE8FXaH8ey\n0v8wOquDPBtqssx9HjISYFlPWDGwbOtINQq+ID/Aq+YG7o04EqIGJqfDTDNJB66pr0tMzyGkwD5b\n+mcwo5cd5oM/LqLTKWTm5LLpdAS3nZrDq8fgxX3FjxVWmsxXVooazHu3Ng3i8gKx/+7YQ+cFe+n1\n8Z98tMXohz8nQ+1y0x88VfcosubrcHAcblb64Mv0825XwwuAhNj8zJFNgnqZKr/cQNKytNilR6LY\nVCOhXl7Xur7rMS8g2Z39kOG1t5Sa1HE1qq+zdyLVwZvGVmUJvoz2V1HBV+BO9ZJRrZ5QM6rJkeVb\njyXB1wNPgq/7jU6XXxdRxsxXTrx6lH5L8eByZDIzfjuDDo1a9xUbmJ/+NxISk8rJGwk08qhOPXdH\n/nflNgevmfkCK2qMr4JajVQzZFcsMDRJbKA67o++QNiYfYEfqqB96mCTyweo9XJ3+8WaHo+V1kLd\nahEn1Is3t3pCPZU+JbJ8L6BcHH3my1v9AfTMC74KBhJ6Op3C6bBEfN0d8XS2Byow86XvdrRzVDNT\nBX9YdTrY8JJaG1jW4QnSYlCsbNkTksm2c5H5wVedjugUDMHX1egU0rPzD0b+Dsxvw6kbpgcYB4LU\n4HDl4Ru88PMJHvn0L95Yd4b3Nl1Qh0rRF9QXpTSZr9uX1dtaD5lOz8t8JYRdxEqjQaOBwGijjJD+\n86vPZDm6m80kJmXkcD4iiUZOedtc4PPu5KZmI+Nu52eOHFLV751WmhvcjEvGPj2SMJ0HL/2VV9eW\nF3zpUtT3XqBSl6TqDQB1mInartVM1pHj2pjamnjCIkt5Rm1mKYKvkD8BUJoNJtUub9BeSxwgmqPT\nGQVfl8tnHeKeV6rgy9xFsxMTE2VU+8qQHqfWaOnvl0FIkHqqedOmzenayJ1dF6OZtuYU2V4PAYrZ\nQQg35o3X9Hr/pix4Qv1CPxVmpm6kFJkvQB0XCe7+os2Kov6g1mxivjjZocAPlf6LNDcbtr4JZ34p\n2/qSb+VfaFhRyPn2Eeoe++jO2l5AWswNYjU1ydXY5HcVVVb2S38xcu/WAHhQfOYrJDaVpIwcOvjm\n/9/r16yOjZWG5Mig4muM7pT+TDRnn/xp1WsW/jz8/Un+eFe5WSVe4/BQUCyjvznEq99tJzv6KvFW\nbry46iSvrj1FtkNeHVTdzgTeTiEhXa2Ly9UphrovnU7hwLVYbPJOMjD+nKRmabkQkUQLnxq0refK\n/67cJj4tG/fqdvx59TaJ6dklb3dphprQf4ZrtTKZfMtOrYFsbRfJ37MfoWZ1e2JTs9Waq4TQwp9f\nRw+1lCDb9AAjMDoFRYG6Dpmm8+dx91L/J6nx+Wc01shUv0McNVkkBx7CJieVoBwPjsc5oHPyMVya\nKDJSDdJiFReu2qntv2Um+LLzbq6u41YJZ2/qmXQ7FtFbEH0RrO1Ycc2RjUHqkBjldsZjZmL+d3hK\nZMmD34oqqVTB14YNG5gwYYLh4tn79+9nyJAhpKUV3RUhyonxWThl7Ha8dUMt5H6odWuWPduRLg3d\n2Xkxik/OqWn9Fb9vMikU1ukUNpyKwMnehsdaetO2ngvWVhpDjY+J0ma+Sls0XJLkW+p4P0VdzLhg\n5kv/BffIe+ptWcbxuX0ZvmgFx5cDkJMYjm1SKEp8cAkvLIXcHByyYgnOcVO7UQyXUKmkont9t6Mh\n86X+X68XEXwdCVH3a4f6+bU/ttZWNHa35dO411DWPGn57hvjAVb1qnuq2YS8ddW4fQz+Wqh24zZ+\nVJ2niExGtlbHjHVnGPfDUU6HxTH25nzstCn8J+NxXKrZoigQnZuXlarTiSPBapDXt5naJXnmprqP\nLkUmE5eWzZA2PjjYWnE6LH99J28kkKtT6NvMkzUvdGHBiNb8+VZfXu7diJxchW3nS1HgXZrMV/RF\nAHK9WnI8NJ51x8MIiUnl0/23iVFcaOtwGwdbazyc7EhMSYMVg+DXZ/L3jf7zW8T1HUPyuvrcrNJN\n58/j7VMXgKyk/IFWa+bkb1v1IHVYmzBF7Z5MdW6oDuGRk0FYmDoURaziwpbsTihoOKVrWij4cqzd\nAgBNaWsjjYOvAtm8Hw6EMCJgP8rty+TUbMYX/7tOlJJ3IpkFz3hcsO0Si3fmjbNWIPv26/bdagmI\neKCUKvjatGkT9evXZ9iwYbzxxhu8/fbbzJgxg+XLl5d3+0RBRsMAlOVsx2ytjsw49cutaZMWuDra\nseaFLrzUuxH/S1ZrZ1wSL/L1n0GGguBjofFEJGYwqLU31eyscbSzobm3M+cjksjW6kxXUNrMV1lG\n6S6OfrBYTzPF9lB05isvqChNl0J6tpZfjoaRcv24WpMV+jcAoZfUbhJXXRK6XF1xiyhRbtItrNER\nqbhzLjwpP/iKq6zgK+9Hs2ZTcjS2eGiScLSzNltwH3Q7lcU7r2BnbUXvpp4mz3VxS6eGJg1N+LFi\nT+a4I4bgyzt/mqOHmtXMGy+r4an/UwdAfern/EFDi/ifbzodwYbTETxUx4V/up+hh/VFQj360HLE\n2/wwUR1WYqdNf2j/LDToyeG8LsepfdTl6uu+9ud1OT7S3Is2dV25Gp1iuNTS0bzXdGnojpO9Dc90\nqU9t12oMa1cbjYbSXRGgNAcu0RfRaazpteIWTy47zNvrz9Pvs/1sOB3BLVtfHNMjIDsdT2d76maH\nqFm06AuGoM3Q7eikBkcFr3IQEqO+D5yUVLWr18bO5PnatdUzqZW8A8NcnYKPLoocRc1O14tSh8EI\nV9T3S7RNXgCdEErcbXUf2NTwYk18M6b4buOM0oQ6BYIvTV522Dn1OtrSfP6KKbjfd/k2SbcC0Wgz\nOZ1Vh9QsLTEaNfjKTggvedmltPbYTX44EKIGWXn7NDxv8NgLp4+wpRQDGYuqpVTBV7Vq1Rg9ejQO\nDg7s3buXjh078uijj5Z324Q5xkdjZeh2PBwSRy3dbXKxxqqG+qNlY23FnMEtWD5jLDrb6nSrdpOY\nlCyijv4OURfYcEr98hnZoa5hOR3ru5Gt1XHxVoGuj7zM157rWfz3xM2iG2KpzJc+M2RumAkwCvLy\n2mm4aHDDvOkld4etPXaTORvPs2aHGnQpURcAiAlSz86y02i5dfvuLj4dHa5mzyKVmuo4SPrtKeGo\nfv3JcNafvMMfh5wMyEzioy2XGPjl3yY1S4bg3qkWSVZueGqSaF3HhdjUbJIy8oegSEjLZvLK46Rk\nalk06iEaOGbBH68ZLunUprpRoHPgsztrZ1GSI9FVq8nyI7cMo6abjEL/30nY5CTD4E/UwUr1AUUR\nwdfa42FoNPD9Ez54n/oCatShwfM/MbpTPdrVc8XRzppfo2vD8P+gs7bn6PV46rhW4+GG7ng523P6\nprrcvwNj0GigV1NPOvi6oShw9qb6/jt6PR5rKw2dGpgOz+PjUo1ujWpyPDSh5KE59DVhRR246HQo\n0Re5QW3isqwY+3A9PhzWisdb1aKuWzW8G7dFgwJx1/BwsqejldF7TH+tV/3Bkz6wLZD90df+OWhT\nzIA8oYoAACAASURBVB5o2TmrAYVtlnpWZ0J8HO6aVAIdWpOtWFNDq35n6TNf13NrAaCNDSYrUe2q\nbN64MToF/gpJxsZKY6glNMj7jDQggpsJxXclA2rwZafWIRYMvuLSsmiuUbs7d8XWpKmXE+1bqZm1\nsNBgNZN66Ou7GvE+S5tLapaWnFyFIyFxZCep23nOTh3fq5nmJmfDy6F7/gEwfPhwcnNLOeTIPaZU\nwdfChQuZMGECY8aM4a+//kKj0eDv78/OnTvLu32ioBSjzFcZrmW3+2IUtTVx5DjVLlQj1cDTGSuf\nNnhnh9FJcwWfnS+g3fYWW89FUse1Gl0a5v9g6M9oK9T1mJf5Wn4igQ+3XDI9jd2YpTJfxY3xZbye\nrAKZL2cfdUTuUtQi6c+m8s5Vf4A0CdchKwWdPksARITf3SWMYiLU2rcIxYNzEUlq++yc1EsNFeOj\nrZd4f/OF0h35F7RuPNmftebEob1ciUrh12NGwXLqbbW2yNaBeI0rniTR0lv90Teu+3pv0wVuxKXz\n6iNN1OD8xHI49TOcUYcTaGqr/sjlWDmol9C5eUy9IoPOAl+UKZHEatz599ZLhppEqud1k536GW6d\nUseU6zBRnabvGjMTcF+NSuF0WCJ9/Dzxvr5RvdxW77cMl6uytbaicwN3gmPSuJ2cyZWoFBLTc+jW\nuCYajYZ29VyJTs7iRGg8J28k0KaOC+7V7Qw1cKfCEsjIzuVceCKta9fAyb7wuNZPtKsDwOYzJWS/\nbB3VEeiLGjYjKQxNdgrntXXp36IWC0e2YWL3Bnw7vhMH3+5HrUZ5l0SKCaRmdTvT4CvssOm+0nfp\nphqNRo/a7VjDwQarrETzgzJb25Bm5YyLLkkN2CPV93Gac2OuafJPjIm2roVGAxcy1P9b5PVLuOjU\n/0+D+g0AyNLq8HZxKDxQr7M32dbVaayJLN1JHVnJ6rh/GqtCpRpxqdl0cVQ/31cUX+YNaUm7Vi3V\n3XQrVD0bcfdcOBRQ8nqKkJCWf9By4FosoWGhAOTW646isaK5dbghSBdls3nzZqytzdT83gdKFXwd\nPHiQX375halTp+Lh4cHXX3/NzJkzmTdvXnm3TxSkPxJ18oactBKLiPWuhMfiRSJ2NX3Nz+DTDit0\nfG77DQDaqCukZ+fydOd6WBl9+XXMq+0peIq9/octUalOapaWQ0FFBIZW1mpwUZrr0xUnNhDQqAX3\n5ljbqN0ixpkvKxs1e+DgWqpux7A4NRPxeJ1Mw7SsW+dxT8uv9YqJvrsLSKfdDgUgCncu3UomR6eo\n2xQXVGSgkpSRQ1JGDmnZuVyJKuP4VYD29hXscpJZY/d/dLe9xvcHQtT1gpr5clKzEbGKC3YaLc3d\n1ABP3/V4LTqFbecjaVvXhRkD8oJf/dhteRnJOqgHCfu8n1en/zQE/u0BAR3u7tqVWSmQnWqoy9l5\nIS840A83cUR9/0b6TcwfaqGYzJd+nK6nO9VVA0cbB/Wap0a6N1YDhMMhcWw9p3YPdW2kTmufdzAy\nfvkxtDqFcV3Uz5e+Bu7o9TiOh8aTk6vQJe81BQ18yBtrKw3/u1JCFlWjUTPHRWWN8w4Kruh86e3n\nUfh5LzWjw80jeDjb08HqGtn27vkDEoOZzFd+8KXN1REWn04Tj2pospKLrO/MsnPDXZNCYHQKGdFq\n8JVTw5cwh/wSAWfvJtRzc+RoknoSQcLNq3hoktBZ2dKyQR3DfAXrvfT7IaNGIxpqIgmOLuF7RKdT\n3zMOrmodm1HmS5urIz49m5bW6sHH/JeeorefJ82aqO9pbWI4ufoLqWff+ZnN8Wn5J1P8fS2GWxHq\ne65J0xZo3BvTwiqcq9HJZObcnxmcu3H06FFGjhzJyJEjef7555k7dy4jRoxg6NChrFq1yjDfV199\nxWOPPcaoUaOYPXs2AQFqMNysWTO0Wi2ZmZm8/fbb+Pv7M2TIEH788UfD8idMmMD06dMZPHgwzz33\nHImJ90aWsVTB18aNG2nVyvTsmREjRvDHHxa6JqAoPX23kP5splJ0Pep0Csm3w7DSKFgZj25vrHY7\nAHyt1C8nh5wEalql8lRn0/nrulXDw8m+yMxXkqKOU7TrovqlvfNCJDPWnTH9YrGvYYGar0BwracO\nM1AUBxejzFe8+iOs0ag/MKXodrwRn4ansz3VUvIH0jz0914akx9wJcXcXfClTVC/+L3qNCZLq+Na\ndF7RfW6WYVy2goy7p06Elv1MqZyUOJKValS3ymaF3SckJSVy4EaGGhSlxxmCryid+sPYxFFdn77e\n55v9avA57ZEmamB++3L+eEV5wZdrltol+q+wdlz09EfnUk9dbkLo3Z1MkDfyeFiOmtk8eC2W5Myc\n/G7H3Cxo5k+ms9HwI0UEX5k5uWw8HYGHkx39na6rZ+C2GFbo0lfd8oKvnw/f4Lu/Q/BxceDxVuo+\naldPDUAycnJ5uU8jxnRWAxkPJ3sa1HTkn6A4Jv6oXjzaOINsrIaDLc1qOXPxVnJ+N2pRivvs5HWL\nX1J86e3nWfh5325qRuvcbzRUIqijieO2a9v8ExIgf1/pM19G3Y43EzLIyVVo6Z4XqBdV31ndAzdS\nuBiRgDbuujrNrQHxLup3VpziTKM63vjVcuZ8urpPcmKD8NAkQ3UvGng44eygZggL1nvpWXn5Ya/R\n8v/snXd4W+XZxn9Hw5Is27K897azpwNJgCzCDkkKJSWU/THaMkqB0n60lK+DtrRAW3ZZZZRVKCMk\nYWeSwXJ24gw7HrHjvS1b+3x/vEfLlm3Z2CEhvq8rl2LpnKOzdN77fZ77uZ+WowNUBTssgCwmXZ6i\nDAUtXQ5kGbJdFWCMJzsrR2zbYMKmMhDrbqap+DOxsNMaZOOhwZ98HW6w0KRM2PJzsiFhHBFyJ3Hu\n5t5SjpMEhw8f5l//+hcTJ04kKyuLd955hzfffJPVq1dTVFTEunXr2LhxI++99x4vv/wypaW9C50e\ne+wxdDodq1at4vXXX2fFihVs2CDate3cudPbo1qn07Fy5cpjfYhBERL5CgsL49133+Wyyy7jrLPO\noq6ujrvvvpvo6AHE1aMYfnTUKG7YijA7hIrHqpZuYl3KrDq6D/KVPNX73x1u8RD6QbaVxKjABsKS\nJFGYGU1tu5WjrX5RN4XMtGFEq5b4ZF8drV127n57N29vr+bRtX4Dbn+z91DQ3SpIaDBne3/oowIF\n956BxWAWETF33wOdw+XmaKuVArMKLPU49CKSYCxdjU5y4NQI0mdt+WYVUVqLWH/qRFEIsLvaT/fV\nEFz3VdXiI19fBas87Qc2WzcGuYvD2nxUs29G7+pktuYA7xyw4PaktCMSkGWZGqdIN2aEdSr71kZp\nQycrdhwlPyGCs8cJAuLrWCApETs3mtZKnBojkiGWRUcu5/uaR3CfcbtYrG7PoPaZur3wnyvg1eXQ\nIgbzEqvYN7vLzdriep8PF4Dnezzog3ytKa6ntcvB96enodmlWI9Mu7zX109IMRGp11BU0YLTLfPA\nJVOI1GsBQb5y4o1cNTuT/z1vbMB6f790KpedmkFmTDgZMeGc2gf5ApiSHo3N6ebAQJHMfn47LsVm\nwh47jmRTENKi1ohUrK2dU4r/DEClcTLk+ZEvTzRLIeD+kS9PpePYaHfgsj130ZSAWpIpq6xC3SbS\n8mHx2dgTRNrziJzAhJQoChIj6EJPhzaWeHs1Cap2VBHxqFQSk9MEAU6J1gf9Dk/Fo7NuALsJT4pW\nFynuEWsbOAUZarLYiKCLOGdNoDWHJOE2JpEoNaOuVgxgvwn5UmxEPP53US5xH2qiEiFBpDjHqo6c\ntKnH7OxsoqOj2bRpE2+//TZLly7l0ksvpbGxkf3797N582YuvPBC9Ho9BoOBJUuW9NrG1q1bWbZs\nGZIkERERweLFi9myZQsAubm5pKUJ3fKYMWNoazs+znNI5Ov555/nqaee4nvf+x6tra3o9XoqKir4\n4x//ONL7N4qe6KgTKYGBWqr44WBdBykoy5nSgi8Ulw9RadTFn85rLvEw/l5acHuBoLqv7lacqHGq\nDVw0LZUmi52bXtlGS5cDtUriqQ2HqWxT0k2e2ftQLQgGEtt7oFMGKrc7kHzpo0X1or3vge5oazcu\nt8zUCOVBOfZcHGg4VSXKxeXMMwBwdfRh2hgCXG4Zk70OKzrG54iIya6qNh8RrtwSdL0jzT7S26td\nzQDYf1hE8TQRcZB7JgBXJZZztMPFhm0KKYpIxOpweyNfcVIbkXoNa/fXc9bfNuByy9y0IFdEvWQZ\n9rwl9Ehjzgdnt4jYtZSjicthzc/ns3BsAtsrW9liUaIpQfzk+sTH98CTp0PxSjj4Aay6Q2xCjvFG\nkj7YU+MjC5mnQ/opgdvog3y9v/soU6QSrtFvhL3vgikDsub22gW1SvKmGa+clckZ+T6iZwhTs/bO\n+fx+6USkHm2BpmWY+fPFk1h/1wI2/mKBl7AFwxSFbOxSPMM+3FPDY2uDRAh1JmGxEiQlbTu6jzY5\nnPEFY3uv50Hh1SCpiakT91axZhxkz8WlDAXdakXUr4sQv58A8iWeBzlGJZLTR+TLEC2uRU1NFfpO\nEb01JuZiSJ3IZtcEVrlmMSHFxBhFS7jfFkeGqoEw2e6tspycJrYdNO0IqJUqZ31bKW53P/e/h3zp\no3o1DG/qtFMgKUUriRMDVtPFphErdRBrVyLbIco7gqG5UzTrXjpFVJXHS224VFrxHEoQ1ypPqj5p\nRfd6vSDYsixz//33s2LFClasWMEbb7zBJZdcgkqlGvAZ1/NzWZa9QnydTtfvst8WQiJfr776Kk89\n9RSXXnopKpUKk8nEY489xpo1a0Z6/0bhD7dbCGAjk3walxAM+g7UdZAqDUC+VGq45Uuky16j1C0G\nyQJ1bdBFPXqWbX4+RnJ3K22ykTFJUSyaLB4yW0qbSIzS8cjyaTjdMk8VtYsHpT5KCJsdQ9RReG0m\nBiBf+ihhZmipF2TLG/lSBo1+dF8Vit5rjE6cXyl+DO0ROd7PtXkLAAh3NNHWNTQNU2VzF0k00haW\nSEFSFGFqFbur2yDzNGSVFkrXBV3PE/nKjA2nrt1GVSgVXwoOlpUDYDQnQMYsUIcxW7UXrQo+2qJU\ndEUk0G510CgLQqCy1PP2T07jR3NzSI02MDnNxGLlGlOzE5pLoeA80SkBoGKzSPeYszDqNNy7eDwa\nlcT9RcrjJtTIV/tRIXSOzoDlr0HKdGgXg2WdbGbR5GRy442sP9CAxTwOzv0zLH2s93aCkC+rw4Xh\nwLus0N1L8sZfCEJTeBWogj8Sb5qfy9WzM7n7gn6IzTfAFCV9ufNIK263zP+9t5cHPz7Y+97qp1pY\nZamlRo5l3tiEvr8oKkWQZMAuq9ntzga9ia3SVKrlWFbv94sKRCYFpB0PN4rIV3p4/+RLUiqKC9q3\nENFVRbMcQVxcPOlxUVzu+DX/ci8iPzGCgkSlkMOd6FtZIUjfn57GabmxLBjTx7EoE680VxVlHhuU\n7lbY917gpM4T+fakHcGbemzstDFOpUgKepjSqqJSAr/PaQu+HyGgWbmGhZlm0swGYqV2JGO8kEAo\nxzFWW+sl3icrZs2axSuvvIIsy7S3t7Ns2TJ27tzJ6aefzocffojNZsNut/PBBx/0mujMmjWLN998\nE1mW6ezsZOXKlcycOfNbOpLQEBL56ujoIDlZDMge1hgRETFyezWK4OhuFmQiItFnghhC2vFgXQcp\nkqINM/UhuAcIM5IQY+K6750LgNSH19SkVBNatRTg4O3qaqFVNjIxNYrZObFezcbtZxWwaHIy509M\nYn+Tg3UH6v0qEfuIPB38CDY/3Pd+ehtqhxD5AqEzAtFsGHzpkn4qHisUXVWWWknXmrOIzPSlZsmZ\nJ3ZBaqe0cWhtdEqr64mROrEbUwjTqBiXHElxTTs/fGkPXzrzkGt2BiXXnvJ6T5Xc1xWh674qqgR5\niYtPBq0B0mcS1rCXS3NdzLWtFwtlnk5bt4980VlPfmIkd18wjk2/PJP3bjkDjVp5dOx5S7xO/L4v\nFe5xlTeLQTgz1shlp2awp1mFRZ/s1SYNiEOfiNdZN8HYC+DSf3snHbVyDPkJkZw/MRmb0836g40w\n+ybRpqcnDL2v92eHGrmMD5CRYNFDcN0ncMYdfe7KtAwzv1s6kfCw3tWKw4H8hAj0WhU7q1rZUdVK\nXbsY7Cuae0Sf+6oWdljRuyw0Y+KUrL7TmwCcch0Ae+RsartkWrvs3Nh9CxfY/sxrX/npDCOTRJRI\nIR6lDRYkCRK1Ctnvy1C58Bq61ZHcpF5BrKOWI3ICsUYdGTEiVZ8WpUGvVZMTb0StkiiX/fzaFIKU\nlxDBqzfM6jPyRUw2bklNnqqaXZ6I0ZZH4I0rRe9YD2z+5MvTA9RDvuxem4me5CvAwBdERHeIaLaI\n8xcTEcZDl0wmRdOByuOjFpMLkopJYbWUNVqGPJH7LuDmm29GpVKxePFili1bxg9/+ENOPfVU5s2b\nx9y5c7nooou4/PLLiYqK6hXNuummm7Db7SxevJhLLrmEc889l7PPPvtbOpLQEBL5mjFjBg8++CAu\nl8vLOJ9++mmmTp06wJojg/Xr17N48WLOPfdcfvrTn9LZOUI95I43eFIAg047dpKmVgbonjO6IDh/\n5kQRLehDGK3XqhmfYmJvdZsQ0ssykq2VdoxMSDERplFx84I8zp+YxCWFItJ23RliIF67v763AWpP\nbPgrfHJv3+TIo4Xy03y1WOyUN1oCQ8r6nuTLHPjaj+i+UplNJzmVc27OIix1srJ+DMSPw42KWKmN\n0iH2MPR4fKmixTmanBaNwyWzpbSJja5JSMi4S9f3Wu9IcxdReg0Lx4kH+Ffloem+ZFmmrlZU60Wa\nlYd/9jxA5tqIzzlH/TXFciZHIybS1u2gAYV87X4TVv8cqrf13CDsfUcQgryzfGS4RBn8zFneRW89\nMw+DVk2RLVVEIjtD8EfzkLh85SFqSoMr3uLd6KspljMoSIzg/Eli4P5gTz/aO7VWVNj6Rb52fr2Z\nQtUhOlLnwinXQ/qpwdtUHSNo1CompZo4WNfh9deDIJ0F+oh8efR6Nn0ceu0Ax5E9H+b+gqfVy2ns\ntFNS30kXetqIoKiixac7i1BIkVLkc7jBQprZQJhD+e5gVhPK+6UF1xMtWQiTnNSpk1GrJFKiDZw9\nPpGzcwSh0mnULJqUTGy6n3bTGKRQIBg0OuyRGeRJR9npmQQqbYo8fRrFCfFovvzSjsqEtanTRqYU\n2EjeC+U56ZRVNEox3yjy5bGaiDGGMTNNh9pl9e2LVg/RmWS4xTXfVe17Jv3t4wMD24+c4Jg5cyav\nvfYaIAI6999/P6tWreKjjz7iuuvEJGHnzp0kJiby/vvv88Ybb6DT6cjPF9frwIEDaDSagHU//PBD\nbrrppl7bB7j99tu59dZbj/FRBkdI5Os3v/kNX375JTNmzKCzs9MbBrznnntGev96obm5mbvvvptH\nH32Ujz76iPT0dB588MFjvh8jBbvTzSVPbuGJ9SXw0a9JKX7W96E/+fKmHfuvdnS63JTWd5KhaRVV\nXLoQI5ZxBULc7HIIktQWaOhZmGHG6ZZFmszRjdrtoE02MiFFDA4/npfLk1cUeiMkU9OjMWol1h9o\nQO7pwdUTnuNUxNW90HhQECCjr3T/6ue/ZP6D65nz13X8buVeYRPhjXwpXly90o79RL6UtGO0TXn4\nmbN8upDECaBSYdOaiKON0oahtdlqqxXHFxEvKvN+PD+XO84u4KOfzUVXIPRY5V+uClhHlmWqWrpJ\njwlnXHIUBq2aNcV1PLLmEG8VVfUmoH6obO5CbVOOWfGxIltonLIOPocGN/92nsXq3bW0dzuokuOp\njp4h0n9fPQPv3hS4waqvhL5r7CIxiMTkApLPRsRjaAskROlZNDmZHQ4l7T1Q6tFpF874MTk+h3qA\nlKn8zX4RsUYdsRE6xidHkRETzrr99f2X6hvM3uvtcLlJO/w6ABFn3Nj/fhxDTEmLxi3Df/yiT577\n0Is+jFYb6sTvUzb2k3L0QKWCM39NSeSpNHbavF5ZC5V05atfKL8Xr91EnUhDd9rIifMjsf10s9Cd\nfhO1svi9tepEFEmtknjmqhlckGf0LvfIZdP4n8Vn+laMCGH/FWhTJmGWOjlaqUzGPE2qyzb6FvIX\n3IcHRr6aOu0kSK24wqJ6V00rka9qXS4Nrghc9qFHvpqUyJc5PMxXbel/nPFjCHe2YqadPdXiurZ2\n2XlkbQm/W7lv4ArY7ziysrL45JNPWLx4MUuWLCErK4v58+d/27v1jRES+UpMTOStt97ihRde4KGH\nHuKRRx7h3XffJTU1deCVhxmbNm1i0qRJZGVlAXDZZZexcuXK40ZE901R1mjh64oWHv9kH/IX/yTx\n8H99vkgew8OIpJDTjuVNXdhdbhLkJogaxPWKzRcpzuYyePNqeHxWQApseqZ48BZVtHhnxo1EMy45\nKujmNGoVU5N0VLd20+RUKpisbbjcMtc8/yXPfqY02vbo2kB8d084bYKU+bUV6rQ52V3dRnS4lrZu\nB89vLmf+g+t4/5AycLV6yJcyWOgH1nxVNndhDFOjba8QRE9vgtRCQUrHiWobp85MrNTuNWMdLLob\nxSAbmZgFiLL6ny7MZ0xSJJcsXkyrbMRwZCNWPwf6xk473Q4XaWYDWrWKeQXx1LXb+NsnB7nzzZ3M\nf3A9Cx/aQHVr78Hi6/IWYlAGI8/9kzodwiJQu6y4tBGscJ1GeZOFtm4HTjR8dtrz8KtqESFrKA5s\nNuyfcgQxgPlbmZh95AtgWkY0xW7FAmKg1GPlVqHDyj8n8JzZXRxp6SI/UUwiJEni/IlJWOwuNh7s\np/jB4PN2+/JAJYvkjbRr41EVnNf/fhxDTFZ0Xw6X7K3269XWqY+JS2OtuJe0UYmEiriIMFq7HF6v\nuBvn5pAQqePt7dV0210BdhMesX12nNE3adH3EfkCspPjeFi+FICGiAF0cn4kPaBqdQCoU4VDfFj9\nbhyWFtEjEqBml++3HSzypWQLmiw20bs0Msg5Uwi/Le00bGiRHUOvdmyxOIjSa9CqVdCp3KP+ET4l\nYpwrHfUSYU8ngWaLvf/7+iSAyWTi6aefZuXKlaxcuZI777zz296lYUG/AoajRwP7TcXHxxMfL24a\nT5PtlJSB01jDidraWpKSfBqBpKQkOjs7sVgsferQLBYLRUVDbw8xEIpqbDz6ZSv3LYglLeqbaUK2\nVokfeba7AsntRAL2bXiHblMuSQeLSAUO1XXS7j7MdFR01ldwsJ9j21plJRwrBncnbXIEJSGeh0Rb\nOGlA9adPkKpoKMo/fIymzEUAhHWJKMPanWXM6T7CBKBLG8PeXTv63Oa0JB2bj1j5sqyVC4DS4h0c\nqolk/YEG9lc1My28BY2thSluQTaq92ym1pYZsA19RxkTZDcNmKlUjmVfgx1ZhjlpWq6YFMnWKitv\n77ew9aiTC7TQcWQPkcDh2jZaioqIqmskH6gq3Uud1Pt8yLJMeUMnyUYJuaWCrqgc9nvO2+x/itei\nIvL0ZkydhzlUeXTQ91eb1YWqvQq0UNLQTUeQ9dXGyUzt2srr//orc6Nq6IibzjbEQBbm6KCoqIhr\nx8qckxpLS7ebo51OttXY2F5r4cF3v+CKSZEB2/uwqI1TJPFwL66oo6tdfGde9ARM9V9Qn7wAS4eB\nPeW16Gxi8GqsOUKRuoEEw3jS2UDZ2hdpTj8HZBeTd7yBpI1iZ2sUKPufF5aIiUpkScW20noo8xF2\nXaeDYlloDpv2baBcf3rA/qmc3aTveZSOuGkY2kpIAg6RTbvfuSltEd5M0ZLVe86ztUIA/srGvcRa\nfWka/2uS79QQZe+g6Ksv2LvhXU6XutmZcDHOHTtDvWQjDnWnj2SfmQp7q2FvRT3kxnqPJa6ulUyg\nbP8umjt90ZPaA3vEb9ClCfleVCsFL+v3iqiZte4wc9M0/LfYxmMrt/D9sG5ygMp9X/J6tyCDRnsz\njQ2lxAF7Squw1fWxceDriIXMaRlDgTqj1z71/HuKNgqNo519lY10t4a2/5EWIwXAWLmUzz58izMB\ntyoMldtOyZqXaEs+g+Sy/aQABytrsBvcTAQaK/ZTUVREdW09sVIH7eRwKMg5i5z1ADWGfHQlX6KR\n7RR9/ZVwye+Bgc53XauFcK1EUVER0TVbyQWOtNioV9aLtejIAgpUNXxVXkdRURHry32Tp+fW7CG6\na/j6TPaFwsLCEf+OUfjQL1M488wze1UV9ERxcfGw7tBAcPfhzaTqo0oJwGg0juiN9a9Xt9Fhlzkq\nxbG0MHfgFfrB5+0lQCuT1T5jz/GmbigshFqRu86fdoZoEL02hkjJ2u+xfdZykCRJGGCa0seGfh6M\ntVD8NKmlr3vfyur4mqzCe71/J29aw+F2NyVNFiYAiWnZ/W6/1SrMJiucYvaemxJHU0we0ECtxUVG\nwUTiO32+PanhdlJ7bm+vmOHHjz2deOWznZvKgGbOml7AzKmpzDwFLmnp4sEH1gMQ6RCp2ZwJ0yG3\nEI644EtIizGSFmR/6zusWF1rmJkko6p0YEybGPS4mraJmb+rq4WJUxah04SuGVqxo5pkpQiioHBB\n0MrNbtv34eOtLK/9C9QCDRvZP3cV0MyMsdkUFmb1WsfqcHHKHz/l8xoXD1413duaxe2WKduwkfNV\ngnyNm36aT5wediOOlQdJXvJ/xP2znDanBlNcMtDBtAljKMyLgzQ97HuSbHcZ2YWFIrVja4bCayg8\nxa+qqH4GNHyFFJ0R+D4wxeXm3vVNWNER66ghtuc5LV4JRz4k7siHYpDTGMg/6xqR0lRQsa0KaOL0\nib7jny7LPPL1WrbVOZk0ZRphGhVFRUWB16w0Axq3Ex2XQHTbXlDD5CW3ICWOH+BKHTvIskzMxk/p\ntDm54YJZvFvyGU02Qci8xxJWBrshOzlGXAcFa4vE7zR/wlRyQvyN51fvZfORcsrbnMRH6pg3Yl18\nKwAAIABJREFU+xRyx3bx1v51bKlTcdei06AIUk0a1h10EKnTcNPi2RjfEROQiTPOCEj998TMI7t5\n+XMHS3PSKSz0Rap7XRuAbflQXcT4GfOCR6KCoSsbPv8Fk6QyDG6hx1RNuRS2/5s8VbV4ZjYKD7qC\niYWic8RaiDPIxBUWov/kDQCikvP7eG4Vki/LbF4rmocXTpkoilT8EPRY/CDLMh1vfUBOYpRY7isx\nOU0fW0j6ZGW9BBfsfIBpxnpWdslMnz6ddY0HgTa0aomiWjv5EyYT1Y9VyShOPPSbdty6dStbtmzh\n5ptv5pxzzuHTTz9l3759rF+/ngsuuIDbbrvtWO2nF8nJyTQ0+MKwdXV1mEwmwsP7cTofQbjdMltL\nxSDay/V9CPAIbC/L8OmR5KOikbO37NuTDjDGQVcTbrfMp/vqAk1PFRys6yBJ8ojtB5F29Iinnd1i\nkE6dIXr0+fWWnJ5hprHTzs59wvtq3ozJ/W4yWq9mUqqJnQ1KitjWHrDP2ypbAnyFgqYdg1Q67lGc\noSek+JzJ08zh3iit7ElHGMx0WB3c+7Eyi+wj7ehpKzQxXPncTzjuD6dOkC+z3EZp/eB0X5sONfpV\noAa/LoYpF9FgmsR7rtkcNM6AlnKkw+sBSI8JXgWm16q5cHIyNW1WPj8stt9td3Hr69spqe/082jy\nq4ibdAm7zn0L4vJJjwmnqqWbFsUY0vvATxgPxgShw5Jl2KmQ8gkXB+6Ap+IxyDnTqFVMSDVT7E5H\nbjzQW8TcqmidYnKENUjewgDiBT57k/xEX1RPkiTOnZhEh9XJnW/u5PJnP+f9kp5CdZHSe2X9TjKl\nOmRJhRT7zSZKww1Jknhw2WQeWT4Vo05DZqyRxk47XQ6/CaenQbQ98Pg8gvv45D5MlIPAv2F1XrzY\nbpo5nHkF8WyvbKXEKt47eqSMunYb3y9Mw6jT+KUdTb226Y/JqeKcJ5mCG6UGoPBamLw8dME9QHgM\n9sh0JqrKcNUoaezpV4HG4NN9easdo4TuS2PwPkc1FqXoI6JvsidJEpKHcA3B66u924nLLRNjFATO\nKxPxT68qv5mxmlo6rE4aOm3eceAHM9KxOd2+Nlqj+M6gX/JlNpsxm8289tpr3H///aSmpiJJEomJ\nidx3333e/knHEmeccQY7d+6kvLwcgNdff52FCxf2v9IIYn9th7d9xLbKlgG1Zy9/XsENL33dp4iy\nrNGCWiUxQVWOCxU2WUvNvi3Ibjcc3S4eeJ6BMzwWubuF3723i+tf+po5f13Hj/9d5P3hNlvsrD/Q\nwLhwRffQs3y6P5izRC9EgFN/BJN/IAbEve94F/H4fSVKYkDUm/vwEPPDgjHxtLqVh5m1PUCbVFTR\nEuAr5K1S9IeHfPlFivZWtxMephZ6FD9MzRMpLglPOxQza4rref+Qot/oo9qxUrGZyNUoJL8P8uVQ\nyFec1EZxTeiO/bIss7mkkSx1PbIhBsKMwRc0xhFz22c8GfdrftEsdGY5FW8CkG7ue7Jx8XRxHd7a\nVkV9u5XlT29l9a4aTskyM8HsFM2Z+xg4M2LCcbpl9teK4zEZFPIlSZAzX+j7dr0BO18TBDjrjMAN\neEhxMMsHhKi82J2B5Hb6rqUCp1IYUbPwUbhhLSx5FLvTjUsx0fxkXx2vfFFJiknPlLRAsfeFk8W9\nvXLnUTaXNPHvXR20+LV18RRb7DhYRp6mXlROagLL1Y8HnDk2kfMmimPJihXXuLbTr5DAIwzv4ZGn\n7hL3amRM6DKQWA8hwOe+DnDZqeJ38+o+cf6aa0UU/srZigTA2irIjLp/icX3pqXyuyUTuHh6CJO+\n6VfCxU/16bPWFzSp04iVOshq3QpIoigmc7bQJ3bWBwruJUlc97YquuxOTC5lUjpApE2tE8+r9iFU\n1Xvc7X3ky0P4/AT3BjMYE0h3iclHab2Fw40WDFo1P5orJgjvbPtuVz2ejAjpTpdlmcbGQGF3dXU1\nWu2xD4PGxsby5z//mZ/+9Kecf/75HDx4kF/+8pfHfD882FIqzosxTE2zxU55z+okPxxt7eYPq/bx\nyb46NpcEF8qXNVrIMutQ1e2FuDGUqLKI7yrh9XffEYLS/HN9D6jwWCRkVn2+l7yECMYmRfLh3lqu\ne/ErrA4Xz352mC67iwsyFaI3mMiXWisa8epMMPWHMOEikQra81/vInPz41BJcHqiUhAQmdTHxnyY\nnRtHh6wMILZg5EuZ4ak0osKyZ3Sk4YBofqz4lXXbXRyq72BCSpQ3xebBqeOyAtc1xLCppJE2BNlx\nWoJHvjzi4iyriOj18gBS4NQJAhAntXnJSig43Gihs62RDOqQkvuPFqpVEr9dPJ4dci4lqhzGtX9G\nAi2k9UO+ZmSaSY8x8MHuWr736Ea+X/sPflVQzcvXz0RraxGVjn3ICTIVL6a91T3IFwjyBfDerYKI\nn3d/b3uGzNNg/q9g1s1Btz81I5pSWZkE9Ihs1h8Rffru+LgZe+I0GlxGznxoPaf+8VN++95efvb6\ndnQaFU9fNQNDWOD3FmbG8MK1p/D6jbO469wx2F3wiqdqD7zkK1lqJtbdjNQHOTyekBkr7tNA8qUQ\ndb/Il8PlJtzRjBtpUIL1uAi/yJcf+Vo4NoHEKB2vbWvAoopAb61nTn4cuUp0jO7Wvj2+/BCmUXH1\naVkj5o0GoEoVdkfJ7lpc5mxBTpUKXpEa93O4B0G+uppobmkVYnvoN/IFEKZTSHDz4DMbHo8vs4d8\neSxWelalxhVgstWgw05JfQfljRay44xkxIYzPjmKooqW/p38R3HCISTytXz5cq6++mqeffZZVq1a\nxdNPP811113HNddcM8K7Fxzz5s3jvffe44MPPuCpp576VntMekjUVadlAf2nHh/86AA2pyBC7+/u\n7UvU2mWn2WJnZnQbOCyoU6YQlToereQiYbvo4u5xp3a7ZXa1iIFxfLSDV6+fyapbz+Ca07I43GDh\n3hV7eHFLOfGROqaYFEIYgsdXAH7wb7j+E/HgikgQD7Wqr7zWDfmJkRTdczYTIpXtD/AQA8hNMNKO\nX+RLMQzNjjOyu6oNZ5tS5JE8FZCh1ad9w+0WvQNj870EtLi2HbccmHL0ID7Wl8KQJTVyWASbSxpx\noMEi6+hs7U2AZVlm9e4adBoVCc1FIs2TNCXosTjClMgX7RTX9N+T72BdB4se+YxH1hzis4MNTFIp\nxCNler/rAczMieXKWVk8b5uPGjfXhn/Wi3zQ1ew1l5QkiYunpdHtcBFhKeMqzSfcEPaR0KR1NQem\nHHsgXSFfHYrWKELvN3DmCld/0bz6gsCegB6o1DD/lxCXF3T7U9KiqZKV6+J/bQFnSyVWWcvWOhV/\n//Qgt762jaqWbrodLl7YUo7F7uKhZVOZmBo8ajd/TAKzcmLFgK+VeGFLhdd+wq1U5s3Wl4uFTwDy\nlRUnrkWNnxAfbW/ydaS5izja6FJHiUlTiIiLDE6+NGoVtyzIwyXLVDtNJEit/PiUaNHqqW6viHwZ\n+k85HjP49aT90pJIu9XB+xZRlNK6a7Ww5FBpxIQNvL1t2+vKSCA08qUziOvQ2Dx4B/pmxePLG2Xs\nrBOT2PAev8H4AiRkcqQatpQ20e1wkR0vrnVmbDh2l5tGy9C9xkZx/CGkKcmtt95KQkICq1evpr6+\nnsTERG6//Xa+973vjfT+HddwuNx8WdZMbryRRZOSeXJ9KUUVLVxSmEZrlx1DmNorwt5d1cbb26sZ\nnxxFs8XOR3vr+ONFblF+rMBTXjxDp2hfkifjVLVB1QoWqrfjljSo8hbSbXdx55s7GFvlYrIG/np+\nKglKA+xfnjeWDQcbeONroWu6/ewCNEcUojdY8hUTaBXA+KVC83PoYzj1BkCZ0XXUCg8dTVjvbfRA\nfIQOl1bR6yiaryi9hnkF8bywpZzOxiNEg0gdVH8toiMeHVF7lUi3BKQcxQMx6ICs99ledGuiqGnq\noqbNytikSNpajIRZejvDf364mbJGC1dOCkd96JDof9hHesWj+crSW3ijn8jXkeYurnzuC+rabew9\n2o5eq+J/JMVaI3Vg8gVwz4XjuKbyXGj+F7PVQZoJr75DpIT/5yPImMWVszMpaejkhvhW2AxSU6kg\nr9bWAJuOnvC4kANE6jWB0cSoFEiYAE2H4Nyh9XVNMxvo0KeAG58FCGIyEWmtpU6KJzU6nCfXCwPa\ncyck8vDyaazbX49KJXHuhIGjqxE6DWfnhLPigIX3dhzlB6ekU9EdRjZwmr4CulA8yY5vBI989U47\nljVamCG1YdMlM5i+I3ERwdOOAFfOzuKKWZk4X3gSbcUGTt9zLxz8EIpeEhYgfRmsHmukTPP+98uu\nZG7481o6bS4+15mJOrwGzIm+lCN4rVCsjRUhR74MBnEdGlpDj2570Ozv8eW0CRuM+LG9I8aKYXSe\nVM0axVoiR5FReFz+j7ZaSYgMQT/3HcaYMWMoKCjoVWD3+OOPk5aWFvC5JEl0d3cTERHBb3/7WyZN\nmgRAe3s7jzzyCF988YV3ucsvv5xly5Z5t7dv3z4efvhhDh8+THh4OOHh4Vx33XWcddZZgAhIdXd3\n43A4KCsro6BAjEl5eXk89NBDIR1LSORLkiSWL1/O8uXLQ9royYL1Bxqw2F2cnhfH2KRIDFo12ypa\n+Lq8mR8++wUAk1NNaNUqipXB+Z5F4/h4Xx0vbClnc0kj8/16l5Up6a4xshIVSZpMl83nBF4SPpUC\nvYm/rtzL+7trmZaQBu2QjC+CYwhT8+CyySz751bM4WFcPjNT1KxrjQMKZAdEnuI0fugTL/kCBPnq\nQxfVE5IkERcbBy0gW9uobu0mM9ZIYaaZF7aU42g9KmapnhmtYrTaUvIlhtW3oAccCZPwzO93K+Rr\nUjDypfORr3qHgbXF4lxeNTuL7g8jiXA0YHW46LA60agkzMYwXv9K0bekHIVDQMZpfR6LR/OVqe+i\nsclOQ4ctQMQMQnd3+bOCeN1+VgGbShr4qryFWcYKcBEwePQHnUbNX6+YS/sjRtI0PbRqHXWiUhBg\n+8uQMYu4CB2P/3A6bNks3m+tFP5Gstvn8RUEGbE+8hW0uurSfwsR8xAjR5IkEZuaD0fA1liG52zt\nq6hlIu00GAt44KLJ/PDZL8iJN/LgsinotWrOnzQIvSKwKC+c1Ye6eHbTYZbNSOPrOsgGMmyKzuwE\niHylmQ2opIEjXxX1LSyUumgcjFgdX9oxUqchIbK3/k2SJLTRKVCBIF6xeT7D4hDSjscE4TFCgtBW\niTFtEp3lTi6cnML6/dNZ7loDjW2iN6gHCvlyNleS4CFfA8glwo2CmLa0DYV8KZGviDCo+loUMHnS\nov6IFZHiiYZGVlpcgMwPS++CjXNIib4EELKVqenHyXn/FvHiiy8SE9N39L7n58899xz33Xcf//nP\nf7DZbFxxxRUsXryYd955B41GQ3V1tTeLt2zZMnbt2sUtt9zC73//e6+Za2lpKbfddhuNjY0sX76c\n118XBUdVVVUsXryYFStWDPo4QiJfdXV1PPnkk5SXl/eyenjppZcG/aUnOg7WtPLAO5v5RMmanD0+\nUZiIpkfzeVkTP3llGy63zJjESLZVtuCWIcWk54oFmZyWF4dWo+KFLeW8v7smkHwpka9Uq9LWJ2kS\n1qaDyFojksPCKts0fmRz8ubXVSRF6bnmogvhxcdEW40pPmJcmBnDv645hRhjmEhPtR8VUYsBbEMG\nRHS6mLWVbQSHVVSi2TrA3hGS3suDjHgTXc06pM5WuuwuUqP1FCrifY2lDtmU5G3O21FzkJeefJgf\n1f4WjeTmZedCnts8lp9H15AQpePLsmZ0GhW58UFE6yo1hEWCvYNGdwSPrBHndU5+HO5NMUR1VPCz\n/27ng70NGMLUvDi9lMJ969kbdyP51t1iG5l9ky+P5itZIx7KxTXtxEcGDoAPfnyAyuYubl6Qy21n\n5fPj+Tk8s/Ewp35dAVLCoHR46THhyPEZSO2B/nts/7cwxAXY+y6c/xefNqhZibDJLlGwAf1GLRIj\n9YRpVNid7kC9lwfDUCGYnZ5Ke2U46qZyL/natXcPEwFdXBan5cWx6tYzSDMbiBxieX1suKj6fHfH\nUTYcbGBTtZNlgMalaAxPAPKl06hJiTZQ2+mXbvJcV7/IV2OtiHJrTaEbrIKojM1LiCA7zti3pZDn\nd63Rw2X/EdHK/14b8qThmCB1OrRV8j8XX8gFYemkRBu4/x9nQOsa8bnfJAyTKEZRtVcRL7XhVmlR\nDRDFi1T8I9va+5cWBENA5OvwZ+LNrDm9F1TSofm6NrBADB0k120AjYXU2VcCBK1mH2n86f1iVu/q\np3XXMGDR5GR+dcG4Edm20+mkpqYGk0lMzt9//33Cw8O54QZf8CA1NZV//OMfOByCKD/88MP8+Mc/\nDnDRz83N5a9//SvXXnstF198MWFhA2d5BkJI5Ouuu+7CarVy1llnodGMnHjyREHbB7/nsboXuT3n\nVX4wbxpz8sWAW5hpZuvhJho6bNx9/lh+NC+XLrsTlSQF9FsrzDCTEKnj4311/NHlSz2WNVrQYSeq\ntRiiM4Urt6RGSp0O5Z/xVudEHOtK6LQ5uX5ONtrUNKEfONrb2NRL6hxW0YLI0xrnmyL/bNjyKFRs\nEv38PNYTgyBf2XFGOg4Y0FvEzDMl2kBKtIGJSUaiWloo6U6hqyuGKcDebVu5WHobt6Tmpby/s99Y\nSNXXR7j5VV+fwZnZMb5Gzz2hjwJ7B+1E0GFzkhETTnpMOC3meOiAdTtLCQ83k2k7yISvfsMUlZuc\nlClIlVtAHSZc7fuArNKC3oRZFtG3/bXtzC3wka/imnZe/7KSSfFq7ojZCv/+FbpZN3HLqZNhYw0U\nnDdoQixFJYtKLrtFDMRuFxS9KCIi06+EL/4JxatginAX95IvEHo96K038YNKJZFuNlDaYCHKMDK/\n9fSYcKrkePI7q4RthSRRViqKGxLSlQhAH7quweD6OTm8u+Mof/vkII21Ml6mhxRypPbbRlaskU0l\n3dy3ah8VzV3834XjSJNUAZGvjiZRCWc0Dy46CLDyljP6vwU9PQ8X/Fro+OLy4K7DA1Y6HlOc9VsY\ntxhVQgEeYYU2/0ysX/4JveQIJF8KydF2VhMrteI0xBM2wG8wPFwQ3rbOoZAvj+ZLp9hfSJB1eu8F\nFVKYrhb2MCmSks2wtZOqpB2Dda04GXH11VcHpB3T0tJ4/PHHAz6XJInm5mZ0Oh0LFizgz3/+MwB7\n9uxh+vTeUo8JE3xFVdu2beN///d/ey0zfrzwBCwpKfH+/5sgpF/Q3r17Wb9+PZGRkQMvfBKgMMWA\nqtLJExfEQZovcjUrJ5bH1pVwzvhEbpwrZtbBKn1UKokLJiXzwpZyLnv6c367ZAITkyOYeeQZ/qBb\niaq7w9dMGGDR31i79XOqt8Ty1IZS1CqJ5adkQJheaAVqdopBOFhj4A4lSjKYSsf+kKeQr0OfKuRL\n2f4gbCyyYo10yOEYFA8ez8PlpeXZqP8pc8ASwS3P7WOnLpxZqr0AyHN+zlULrwHghjk5PPPZYQxa\nNZPTTMzN7yfdoosCqomIjod6OD1PVIOZYuKhEn44KYIbLpyN4flfo2l10yXrOK3iSaFrSZ/Zy2eq\nF4wJhCttl/xF97Is8/uV+8ikhretv0O9WklZNOz36aVCENv3QqQyvLTXiIGwZA20VcL0q+HUGwX5\n2vFKH+Tra/Haj+AehO6rtMESPPI1DEgzh3NEjme8qwK6mmhXm+huKAMNGOKzB95AiJiYamJ2Tixb\nDzdhwC8yakob+LoeJ8iNN7KppJFnN4n0+9T0aG7WGsHui3x1N4sKYc0gWgt50Ktwoycm/0BUPftH\nuo4n4gVCm9pDnzotN5nNn09koXq7rx8mKL8fCWP3UeJphYiBJ6Uen6/OoVhNKJGvGJ1TTH6SJweP\nPIcZwRBDvFvovQr0rSAD1nZSosW9+m1Evn51wbgRi0oNFaGmHfft28cNN9zAtGnTiI0VUgtJkkJq\nReh0OoO+b7fbBzSeDxUh93a0Wofe2+q7BlWEMthb6gPePz0vltdvnMUjl00b8ALdtjCf8yYk8XVF\nC4sf28QTr/2Xq6yvolXJcPrP4Pz7fQvHF5A5W5hZumVRCu41LkyZBg6LqAIMhvYhiu37QsZsUQF4\n6GPxt3+z7xCRFWekg3AMrk5A9gpKY9yCxCSnZXPO+ETfAzUqDWnOHd71s+OM/OmiSfzmwvEsnZrq\nK+MOBkV0X5CVzrjkKH4wQ0k7KA/AX85PIuarhzC0HsQ27Vps8+9FZWsX2qh+Uo5emNJQdzeRoW0P\n8Ppau7+erYebuCylHq2jHSZfKowk26vhw1+JhYaSuony9NtTSO92Je0/41qREsw4TcywW48IgW9b\nlU/rV620QelH8wU+0f1Ika/0GINfxWMFn5c2kYziqWYa2CtuMLhhrriHutHhVin3Sc9CkuMYP5qX\ny1WTI4V+D9he2SpE9w4R+eq2u1B1e5o1D558DQi1VqT1hmnAOVYozIhhrVv5ffmTL00YRCaTbC1F\nJznRmEKYNCqVki5bNxZb8EG5LzR3OQhTqzDWFYHLHlzv5YEpjUhrLSAz0ag8S2ztxBjD0GlUHG0d\nHYMHg/Hjx3P33Xdzzz33UFUlUvNTp05lx47emaI1a9bwl7/8BYDp06fzxRdf9Fpm165daLVacnKG\nR7IQEvm66KKLuPHGG3nttdf4+OOPA/6dlPAIWz0d6hVIksSsnNiAFGNfMBvD+OeVhbx83Uxy4yPY\nv1f0mHs//n/g7N/1mh3lxBlJUioaL5/l1+8wRRGmB0k9Ar5GyFGDT0kEhSZMNFluLhVRlZ6u+yEg\nO85Ih2xAK7nQ4SDVrFhPKESucOI4nr5qBqY0JbR7zh/6NiIdCErKITo2iQ9um8O0DOW8eppst9fA\n509CVBq68+7DPO8nkKR4b/UjtvdizAUAXB29g0P1ndS2iQfkC1vKAfhegTLgj18q0iOGGB9xCrHS\nMQBRfpEvEFHPiCQfkZt0CSDDoY+EyF52+/y5PG7f/aQdwWc3MVLtTJKi9FSjRIxbKthV1ebn9h+6\nQ3somF+QwMTUKHLjI5DClWt/Aui9PEiJNrB0jJFFk5NJNunZcaQVOcwX+apothCHYoEQkdDPlk4u\nmMK1HI6ZR6tsxJXQI0UUnY5RFuRVFUorIyXypZMcg079NVtsxBjDkMo9eq/+yFc6alc3SVoL48OV\n36qjC8ntJDXaMJp2HAIuvPBCpk6dyp/+9CcAzjnnHDo7O3nmmWdwuUQV8ZEjR7j//vvJzRV61jvv\nvJNnn32WDRs2eLdTWlrK3XffzW233YZONzzmzCHFj197TfQUfOaZZwLelySJc845Z1h25IRCH+Rr\nKDgjP44PbpvDrlc/glLIzA1u6ClJEjctyGVbRQtz8vyMFD1VgTU7fKkmf3ha6wxX2hFESvTAajjw\n4ZAiX+ZwLd1qQaYi6famHXsRuQW/FrqoCRcNfV89dhOGHlVCnmqtve+A0wqTl4FOKbf/wYuw7z2f\nr1V/GL8UPvwlS9Rb+YN7Lq9+UcGlp2awqaSRwkwzCZIyMBoTxD7M+wV8+L+iQmsQhpheeNOO1b7I\nVsZs3+c588Vr2Wc+IpM0GSo/Fx5DMGDaMUcpXogLUgE3HNCoVVjCU8EOtFZQXJPOXKlRtPwZrgit\nApVK4j83zkYGpGfN4hycQOTLH1PSovlwby3OaANah9AElTVYiPfeY4OrdvyuIycnl1O/eII3s+bh\n79Qnm9KQjiiRjYgQnltKJwQ9dqpbuilIDF1+02JxiMlM2UbRWSJzdt8LK1HflVdmEbPNAp7Eiq2D\nlGgDhxstdNtdA6eKv+PoqfkCuOOOO5g3b17Q5X/zm9+wZMkSPvvsM+bMmcPzzz/PAw88wOLFi1Gr\n1ajVan7yk59w8cUiuzR+/Hiee+45Hn74Yf70pz+hVquJiori1ltv5bzzzhu24wiJfK1du3bYvvA7\nAc+gaQnuUh8SHN1QvhnyFqJVqyiMEg/QWf00ab1qdhZXzc4KfDNpUp+ie8Av8jWMg9qYC2DV7bB/\nNXhSsIOIfEmShKQ3gRXM6m7iPU7bPYlcEC3HoOER2/bUWXj+3r9KvI5Z5PssJgfO+Flo249MhKw5\nxJdtYKy+mVe/PIJbFjryS2ekQ5VC0D33zIzrhFVHfw/h/uBNO9aIsn/ZHXiOYnIE0S7/DNJP9b0X\nk+MjXwNEvuYXJHD/xZM4f+IwRUuDQDZlQAM4myvYXzuFDFUTUmTKoExCQ4VRpzzmPIT7BPD4Coap\nGYJ8dchhxNg7QZYpa7KQLo1GvoLhlKwYXvmikq8qWpiS4fv9dxmSfQrAUCJfGjE51GOnqqXvDiY9\nYXO66LQ5hcFq82HxG9T1Q9yUYoB4V4PwNPRuyE/31dbt6zRwEuLAgSAehwN8npOTw549e7x/x8XF\neVOMfWHMmDE88cQTA+5PWloa27dvH3C5YOiXfK1Zs4aFCxf2mV6UJImzzz476GffaQxH5GvjA/DZ\nQ3D1Ksie4/PPGWzaJSxciO5rdwkTTVubsFfwiGJHIvIVmQhpp0DlFuFPI6kGPevWhAvylR3hQuUx\n8hxCCnNAePROvciXMhA7rSIq1U9V44CY+H0o28BdqcVcVxrDPzeUEh6m5oLJyXDAo8dRBkZNGFz5\n9tC/yxv5OuoT0/tHciRJlLLveh32v+/7PCYXKreKvwfQfKlUEstPzeh3mW+KsNgsaICuulLqWjtI\n0DdD9MwR/U7vPXACR74A2hxaYmQ3OG2UNViYhpKiGo18BcBjX7P9SKAvXr0Uj3e6EopOTol86SQH\nVYNI/bUolY5mYxjUWcHUd0swwKd3bKsS/zywtpMaLdY92npyk6/vEvolX3//+99ZuHAh999/f9DP\nR8nXNyBfBz8SrzU7feQrMmVoVVgpU4X9wOo7YNuLQrB/1v+Jz5pKQBs+4IA7aIy7EKpvmViQAAAg\nAElEQVS+FM2RI5IGXQGljzBDM2RG+AlYh5DCHBBTlgtz0Z7ieb0fGRtz3qAb+gZg3GJYfQdn2Dcg\nSafjdMtcNCmZCJ1G9HLTGoeuWeuJ8FhQaQVRbRYu8L0iOdlzBfmq2KR8ng2xfoTjODDITIiPo7k4\nArmpgiSpBRXuYdd79cKkS8R96umYcIJhUpoJSYIGm0aQB0cXZY0W4qQ2ZIMZaQSihicy0swGTAYt\n+44GmqNWuuP8yFcIzxqP5gs7h1pCJ19NSqVjbLhW+LJpByJfyv3fdChwbLG1kxItnlffRsXjKEYG\n/Y6Yq1aJlMxo2rEHtHqRzhpq2rG9BuqUMGh9MTjtIsycPmto20ueCjtfg6Lnxd/7Vgjy1dkgrA1y\nFgx/tdLYC+GTe8X/h0CWIk0i9ZVqcPje7KgRlZT9heYHi4RxsPTx3u/7a8D8U45DQXgMpExHV/01\nC/JjWXuwiR+cojxILQ2+1OxwQKUSkcH2muCRLxBk3rtvcSL65yFoetNxYRWQZjZwRE5gnPUI6ZIi\nbok+BuRr0iUj+x0jiAidhoKESGpb1SABdgvlTRYSVW1IEcNbJfpdgCRJTEiJYktpEx1Wh9ew90B3\nFF51UCipWiXyZZAcVA2CfHkiX3EGCZB9/SX7gifyVfl54PtWf6+v0YrH7wq+wXT/JIcxbuiRr9I1\nvv83FEPbEaHdMWf2vU5/yDpDvOYuhMzTRUSkrQoqNgd+PpyIzYV4xf9lCGnC5EQR7h8TrXiuyDK0\nVY9MuXwweFJQ2nDICS7UHBSMcSC7+cviLJ67eganZMWIY7I0DH86KCpF6LcaPa1yeujiojN8JqIe\nYuZxph9AbH+sIIxW4wjDwfPav4o3o4d4/59EmJJuosMlKmg7O9to7ewiis7RlGMf8Jj1+ke/dnX6\nma6GRL4E8YnTuSlrtITkEwW+yFe8QekKM1Dky5ggjJ3rhLehVypia/fa8VQPgvyN4vjGKPkaKozx\nIvLVo91SSCj5VLzqTdBwAFrKxd9Ddd1Omihcp694C8YqUZyyz6BcSTsFa2cxHPB81xAiX3GxYrCY\nmaJEYVoroLsZEoNXew479CYwZwsTSSWt8I2gkLl4dRcLxykEsrtFtP0xDrMQOipZtAuqKhJkNVik\n0HPNPeTLrBC0oVRYjgDSzAa2uUX6r5p4XLN/+s2qWk8STEmPpkux6q9paMKE4nR/vDS6Ps4wIUUQ\nrb1+5GtfE3QQLs6ZJoSKXmWZWL1MW7eDunbbACsItFjsYr0wpTH6QJISlUohXAq5S1Amt9Z2r6/j\naNrxu4NR8jVUGOPFAGhtHXhZf7icULpWWA3kLhRO6h6S9E1anhhjRWoxW4nilG0Q29WGj1wftsk/\nELPCtBmDX1exgFBZlUqtSqX0O2OIqdfBQqWGW7fBor8Pz/Y8g193i+89T2R0ONOO4BPdOyx9i8dz\n5ovXONGuB10ELH5Y2HccB0iM1PMSi5hsfZpbY55Gfe4ffLYgo+gTc/PjveSrrrEZk+QhX9++ju94\nxIQUEfnac1Q8ZxwuN5XNXawwLoPZt4S2EWVyFqMTE+0DdaG1GWruRb5CmOT5mwx7JqK2dvRaNXER\nOo62jZKv7wpCIl8fffSRt+nkKBR47SYGmXqsLgJrG+QtBI/538EPxetwpF0SxgtR9sEPRUozfaao\nsBsJxI+B/62EaVcMft24MeLVU4Hn8d0Zqu5tKFCpvpnQ3h8e8tXlR746FS3TsKcd/dK8fZGvCRfB\nhf+AU673vVd4TWjeZccAKpVEanQ47UQwLnmUdIWK9JhwzIr4uqS6nigU6wP9N++F+V1EdpwRg1bt\nTTseae7C6ZbZnnkdzP15aBtRtFrRWkGiDtaGSL66BPmK9pAvTSjky0/3mOAjXwCp0XpqWq243aGl\nPUdxfCMk5e2jjz7Kvffey7nnnsvSpUsp7MeL6qSBf8Vj/JjQ1/OkHPPOwhtert8nXoej2a9KJVJO\n+94Vf4+E3ssfQyV2kYmQOgMqtkBXsyBfGoPofXYior/I13CnHSNDIF8qtWg5dBwjzRxOeVMX45JH\ne8YOBmPSE6EYtpdUYZKUAf04qGA9HqFWSYxPiWLHkVasDheHG0Sk0GMkHBIU8hWhFpXZg418RWuV\niu5QIl/+RSd+aUeAVLOBnVVt1LRbfcbUJxl27NjBQw89RGtrK7Isk5SUxC9/+UsMBgNnn302BQUF\n3mVlWeaqq67ikksu4YsvvuCGG24gOzvb299RrVZzyy23cOaZZ34rxxIS+Vq1ahXFxcWsWrWKO++8\nE41Gw5IlS1i6dCmZmSepSHaodhMln4JKI+wAOv16Q2r0wyc2z5nnR75GSO81HBi7CKq/ht3/FSLT\nzNNGxGTzmMBjXNrd7HtvpNKO/oa5J6hnFfjaGI0fjXwNCuMzk6EYwmQrMR6z89HIV5+YkBJFUUUL\n+2s7KGsU5Ct3MORLrQGVBoPkIEyj4kCokS+FfEWqB0G+PGlHY4JvjFEiX9MzzLy/u5ZNhxq49JSR\n9eE7HmG32/nRj37Ev/71LyZMEFHBFStWcMMNN/DSSy+h1+tZsWKFd/m6ujouvPBCJk4UzdMzMjIC\nPt+/fz+XXXYZa9as6bdR90gh5JrzcePGMW7cOO666y62bt3KX/7yF5588kmmTJnCsmXLuOiii3pZ\n/n+nMRSXe0sjHN0uolH6KOH9pNaByyYq1Ibr/Hl0XyOp9xoOjL0Q1vxOGM4iixTpiYpgkS9v2nG4\nBfffDfJ13RlZJETqmJkzzB5033FERgqyGo6NGKMKrIwK7vvBRI/uq7qNw42dAGTHDdKoVKNHclrJ\ni4/gUH0HLreMyy1TZ+m70XazxY7JoEXjUuwhBkO+otN9hTRK5GvhuETuW13Mp8X1x458fXwP7F0x\n8HLfBBOWwjn3DbhYd3c3HR0ddHX5ugwsWbKEiIgIb59GfyQmJpKZmUl5eTlmc+/fx9ixY9Hr9VRX\nVx/f5Mtut7Nu3TpWr17Nxo0bGTNmDPfccw/Jyck8/fTTrF+/nkcffXQk9/X4gmdW4h+9Cobd/xXl\nzNlzhdAeWei9QKSG4gugdvfwpBw9iMmB3DOF+/xI6b2GA/EFEJsvTAXh2IntRwL9ph2HW3AfQtrx\nBEBeQiS3nz2achw0wgRxCMdGukEjyNdo5KtPTM0QKdl/fHoQQ5gaSYLM2AFsH3pCowenlTFJkeyr\naedIcxePrSvh3W2NzJhmJSGydyVjs8VBjDEMHEpRViiaL4/uNzpDTM4ltTfylR1nJCfeyKZDjVgd\nLvTak6vHo8lk4q677uL6668nLi6O6dOnM3PmTBYtWkRTU1Ov5bdv305lZSVTpkyhsrKy1+cff/wx\nKpWKvLy8Y7H7vRAS+brrrrtYt24d0dHRLFmyhDvuuIOsrCzv5ykpKVx22WUjtY/HJ0JJO3Y2wFvX\ni5TUz/b00HspiB83/ORLkuDKd4ZveyOJsYtg8z/E/9NO+Xb35ZvA45/VdQzSjhqdcv9JoxWCJyMU\nv6gJ8RomJkjQwqjmqx8UJEbyuyUTuG/1Pho77aTHGAZPXPzIF8An++p4e1sVbhkqmrp6kS+3W6al\nyy5InnMQka/YXFj0EGScJp7jukiw+dKcZ41L5OmNh9la2sSCscegl+c594UUlTpWuPbaa1m2bBlf\nffUVX331Fc888wzPPPMMDz/8MFarlaVLlwLgcrkwm8088MADJCcnU1lZSWVlpfdzp9NJUlISTzzx\nBAbDt6OfC4l8GQwGnnrqqT6F9mlpabz88svDumPHPUIhX4c+BmToaoIdr0DJGtHOInGib5mEseL1\nZDWY9JCvuDEDNnw+rtFX2lEdNjID4+KHRU/NUZx8CBPk68KxUWAftZoIBVeflsWU9Gju+M8O5hYM\nYTKk1YO1nTGJgnz9/dODmOR28qSj1Lb1lnZ0WJ243DLm8DDRWghC9xP0r1DWR3nTjgALxybw9MbD\nfFpcd2zI13GEoqIitm/fzvXXX8+CBQtYsGABd9xxB4sXL2bz5s29NF890VPz9W2jX/LV2irCpXfc\ncUfA3/6Ijo4mIiLCK4A7aWAwi8GvP83XwQ/Eq6SGNX8QTa+nXhHY6mfCRVC6zmdYerIhdYawqsg8\n/dvek2+GMKPouRgguK8XJH24WzvByXu/jEL0CgVBvDw+g6NpxwExNT2aNXfOQxrK71GjB2cDBUrk\nq8vu4i7NO1yt/pj/1M8GUgIW9/Z1NIaBYxCRr57QmYQBtYLCTDMmg5a1++uRZXlox3KCIiYmhief\nfJKpU6cyY4bwlmxoaKC7u5sFCxbw2GOPfct7ODj0S75mzZrV58X1XPji4uIR2bHjHiq18NPqK/Ll\ntAlSFZMjqvi2K5FBj97Lg5gcuGbVyO7r8QyVKnjvxRMNkiQidwGar8YTtonzKI5jKJEvHF3CMxBG\nyVeIGDJZ0ejB2U2KSU+kTkOHzcmp5g5UHTK2pkrgtIDFWxSPL7PRL/IViuarJzxpR7cbVCo0ahWL\npySzYvtRXG4ZjfrkIV/Z2dk8/vjj/P3vf6e2thadTkdkZCS///3vCQs7jrXNfaBf8rVmzZr+Ph6F\nMV70IwyG8k3Cvb7gaph+lSBfksrnPD6K7x4MZtFzEcDWKR66w13pOIpRhHkiX13Q3SoG9VDa5Ixi\n6NAawGVHkmVm58ayv7aD3HAbdICjvfcEvKlTcbc3hg1O89UT+ihABnuHl2D/3+IJ3HXuWDTqk092\nMGvWLGbNCl6YtX379j7XmzlzJqtWHV9Bjn7JV2pqqvf/LpeLxsbGoCWdJy2M8cIg1Wnr/fDzuNYX\nnCt0XXN+LtoRnci6plH0D0OM6NXpdomUI4TWuHcUoxgMvGnHThH5GtV7jTw8z3enlScun47TLaN7\nUkS5XUGyHwGRr0alJdBAvR2DQacU1FjbveRLq1ZhMpx8xOu7hpAE96tXr+Y3v/kN3d3d3nTjSZ92\nBD/RfSOYfEQVWYYDH4ofTqYSjl74m2O/f6M4tjCYAVkMiB4t4HHSyHoU3yFowoRRs6NLaL6Gy5x5\nFH1DcbnHaUUTFo5GDViEvYGqq7fNQZPFL/JV4yFfg7S3AF81sy00Y9dRnDgIiXw99NBD3HbbbZx/\n/vlotSeoA/lIwL/i0Z98HfkC2iqFmP5EdWwfxeDhX/E4UgaroxgFiOiX3SKIftwg2puNYmjwI18A\nuByigAoIszX3Er+3WPw1X92B2xgMPJEvW3v/y43ihENI5MtisXD11VeP9L6ceOirufa6P4rXU3/0\n/+3deXjU9bXH8fdMMkNISAIJZCUQFMIqi6CAilEWwQRDQa4sVql4tdBatS2lvVq224C31qsPyy3Y\nWmkLCLWIiAFFqTalLEpi2USxgCRIkklYQkhC9rl/DDNJ2AxZZvnxeT1PnoGZycw5zPDLyfl953zd\nG494VmCd4kunHaUlWYMc6wvtNVps7w7OU4bOQqpOtyvEXkRRWRWhrWt/0a7X+apqQufrkin3YhwN\nOnF811138Y9//KOlY/E9zsGop/5de92xdPj6H45Bqp2HeiQs8ZC6na/zeY4/q/iSlmANrC0AtOar\n5bk6X44REnWLr3CKsBWV1bv7FTtfjVnzFaDOl1Fds/M1Y8YMAIqKivjBD35A3759CQmpP1F7xYoV\nLRedt4vu57jM3ee4tNtru173Pu+ZmMRznMVX6RnIv7gWsn2C5+IR46rbRdF0+5bnKr4uFlJ15juG\nmRzFV0Jk7VZZZ0oqsPqbCbL61Sm+GtP5utjVdI4UEcO4ZvHl3A0c4I477rjGPW9QYTc79llzFl9Z\nOx3rvbonQ+ytno1N3M+5xdCFs45PwQa0rb8Po0hzcY6bAJ12dIdrdL7CTOf58lz9zteZ0grCAq2O\ndWCVFxyDthuz/ledL8O6ZvH11FNPAZCWlsbYsWMvu33t2rUtE5WvMJsh6hZHwVVRCoe3OK4fNN2z\ncYlnODtf53PgzDHoNLRlptuL1C2+dNqx5V1jzVc4ReRfctrxTHEFncMvvkZVFxrX9YI6C+71aUej\nuWrxVVRUxIkTJwCYM2cON910E3a73XV7cXExL7744o23ofalovtD9i6wfe6Y7WUJgvi7PB2VeIKz\n+Mre7VgIHdHLs/GIcdU77ajOV4tzTqe/pPNVbbYSUFPBmbO1O1uUVVZTUlFNWNDFqeuVFxq33gtq\nO19acG84Vy2+TCYTjz/+uGs/xwkTJtS73WKxMHHixJaNzhc41319vgFOH4EeYxv/H018m3OA7slM\nx2Wkii9pIfVOO6rz1eJcQ1brr/kqDYoj+PxRSgttrrs6B6zWFl9ljZtuD7WfdtRpR8O5avEVHBzM\n7t27ARg3bpxX7QbuVZzFV8ZKx2XCaM/FIp7l7HzVVDkuI/tc/b4iTaHOl3tZrtz5qgiOh/NHqSzK\nd93VubVQbfFVWjsT8nq1UufLqBo0akKF1zW0T3BtugpAt/s8G494jiUQ/OpsMxXR03OxiLFpzZd7\n+V+65svR+SoL7gRATZ1PPxacdxRoHYJrtyRS50su1aAhq7t372bBggVkZWW51n1pe6GL/PwdHY6T\nGY71X8FRno5IPMVkuri5dh607VR74BRpbvq0o3td9mnHM9AqhMoAx6Btvwunqa6x42c2uWZ+RYUE\nOMYPVZY2vvgy+4E1WJ0vA2pQ8bVw4ULuvPNOXnjhBfz9G/QtN5bofo7iK2GMpyMRT3MWXxG9PR2J\nGJnmfLnXleZ8BYZTZXUUvu0o4lRxOZEhAeRdLL4iQwJqi7XGFl/gWHSvzpfhNKiS+uabb9iwYYP2\ndbyaPg/C8X9Cv0mejkQ8zbnoXovtpSVZLxZfJrNj1qC0LNeoiTJHN6v0NET3cxVfYabz2IrKiAwJ\nwFbkKLgiQ1o5ul5Q+2nJxmgV4hhfI4bSoDVfffv25fDhwy0SgN1u5xe/+AV/+MMfXNdVV1eTmprK\nmDFjGDVqVL15YsePH2fq1KkkJSUxceJEjh492iJxXZf4O+GpTyHsJk9HIp7mXHSvMRPSkiwXTzsG\nhDrmDUrLqruxdvl5qKmEoPZUtXJ0HcMpIu/ioFXnzK/I0IDajbib0vlqE+GYcF9Z9u33FZ/RoM5X\nt27dePTRR0lMTCQ8PLzebb/85S8b/eRHjx5lwYIF7Nu3j27durmuX7duHVlZWaSlpVFSUsKkSZPo\n3bs3ffv2ZdasWUybNo0HHniA9PR0nn76adLS0urtKC/iMSGxjsvo/p6NQ4zNueZLpxzdo27xdXGx\nPYHhVNbpfGUXOk5J5hWV0driR3Arfyhpwr6OTs5dMorzavcTFp/XoF+ZSkpKGD16NAEBAZSUlNT7\naoo1a9YwYcIE7r///nrXb9u2jQkTJuDv709oaCjJycls2rQJm83GsWPHSE5OBiAxMZELFy5w6NCh\nJsUh0mwSZ8O0d6F9V09HIkbmPO2oxfbu4Ro1UeZYbA8QGE6NfxA1ZgthpvOcOOMotGxF5USFBtRu\nLQSNn3APtR/iOp/X+McQr9OgztcLL7zQ6CdIT09n5syZl12/aNEi5s6dC+CaJ+aUm5tLdHTtnnhR\nUVEcPnyY3NxcIiIiMNdps0dGRpKXl0fv3ldf4FxSUkJmZmajc/A0X479UkbKBa6WTxCc8b08b4zX\nxjddmkvQ6W/oARRV+vFvH8zT114by4V8+gKnbTmc3b+brsA3Z8sg3ESlJYSwqiIOfp3DJ3tKOV1c\nTmTrGjIzMwk6e4geQN7pc5xsZM4dCqvoBBzdt4PCgpZbdz1w4MAWe2y5XIM/urhmzRreeustcnNz\nad++PePHj2f69G/fwzAxMfG6O1N1tzFyMpvN1NTUXPH+fn5+13y8oKAgn31jZWZm+mzslzJSLmCs\nfIyUCxgrnyvmkusPOyEkoqPP5emTr03JadgG4SGBhEc71nV2TOiHrQasbaMJLztKsb0Vcd16Y8fG\nzTEdGDhwAHxdAv+EqI5diGpszgEn4HO4uUMg+Nq/m1xVg4qvlStXsnr1ap544gliY2PJzs7mD3/4\nA5WVlXz/+99v9qCio6MpKChw/d1msxEVFUVMTAynTp1yzRire5uIyA2jTSRggtA4T0dyY/CvMzC1\nzpovisEU1J42poPknT1XO+Mr9JKhrE1ZcO9c83U+t/GPIV6nQWu+1q1bx6uvvsrkyZMZNmwYDz/8\nMK+++irr1q1rkaBGjBjBW2+9RVVVFUVFRWzevJmRI0cSFRVFp06d2LJlCwDbt2/HbDaTkJDQInGI\niHil4Cj4wS6493lPR3JjqLfg3rG1EIHt611ay87w7/xiACKc0+2bpfjSmi8jalDn68yZM8THx9e7\nrkuXLhQXF7dETEyZMoXs7GzGjRtHZWUlkyZN4vbbbwfg5ZdfZs6cOSxfvhyr1crixYvrrQETEbkh\naPsq9/HzB7O/Y9xDibP4CgMKIchRfIWbzpN5/CxwccAqNHPxpc6XkTSo+OrduzcrV67kiSeecF33\npz/9iZ49m+c////8z//UD8rfn+efv/JvdPHx8axatapZnldERKRB/FvDhTNw9mvH34PaA4WuzleY\nqYiMLMcnIV2nHZ0T8ZsyZNW/leMUpzpfhtKg4mv27Nl873vfY/369cTGxnLy5ElKSkp47bXXWjo+\nERERz2vdFk4fcXz5WR2T58G1q0U7zrO9wDF+KTK4GTtf4Fj3VZjdtMcQr9Kg4qtXr15s3bqVjz76\niNOnTxMdHc0999xDcLA2DhYRkRvAxJVw7GMoynHs5+sc7H1x1lqIqdR114iQS9d8NWHIKjhOPdoO\nQnkxtNJ2UkbQ4FETFouF/v37u8ZA2Gw2bDYbXbtqmKSIiBhc3G2Or0td3GUgBEfx1TbQQoDl4vij\n5hiyCvUX3bfSz1wjaPCoiZdeeomampp6M7hMJhNffPFFiwUnIiLi1S52vsL9L0B1nVOOULu3o39T\nO191xk1o9wxDaFDxtWLFCpYuXcqwYcP0yUIRERGnAMfar+hW5VB+cUNtp8qLpyKbs/MlhtCg4stq\ntTJs2DAslpbb2kBERMTnXOx8tbeUAxDpnPEFjtEU0AxrvjRo1WgaVHzNnDmTefPmMW3atMsW2cfE\nxLRIYCIiIl7vYvEV5udY3+Wa8QXqfMlVNaj4qqys5J133uHtt992be3jvNSaLxERuWH5B4Cf1bXg\nPjKkTuerJdZ8iSE0qPj67W9/y4svvsiQIUO05ktERMTJZIKAUML8LpDSL4bRfersNezqfDVxzldQ\nBJjM6nwZSIOKL4vFwujRo/H3b/BkChERkRtDQCj+ZUUsmTKg/vWVZY5tifyauF7az99RgKnzZRgN\namPNnDmT1NRUsrKyOHv2LIWFha4vERGRG1pAKJSdu/z6ygtNX+/lFBzl6HzVGfckvqtBrayXXnqJ\nCxcu8Je//MV1ndZ8iYiI4Ci+qssdnS7LJQvum7reyyk4GnL3QlkhtG7XPI8pHtOg4istLa2l4xAR\nEfFNFz/xSNm5+sVXVVnT13s5tYlwXBYXqPgygAYVX7GxsS0dh4iIiG+qW3wFR9ZeX1kKbSKv/D3X\ny1l8leRDh4TmeUzxGH10UUREpCnqFl91VTZj5yuog+OypKB5Hk88SsWXiIhIU1yp+LLboeoC+DdX\n8dXecVlyqnkeTzxKxZeIiEhTtHLs70hZnQkAzgGrzdb5cp52VOfLCFR8iYiINEVAW8dl3c5XpWO7\noWY/7Vic3zyPJx6l4ktERKQpnKcdy4tqr3NOo3eeLmwqrfkyFBVfIiIiTXGlNV9njzsu28U3z3O0\nbgcmP635MggVXyIiIk1xpeKrMMtx2VzFl9ns6KKp82UIKr5ERESa4lqdr7adm+95gjqo+DIIFV8i\nIiJNccXiq5k7X+DofJUXOeaHiU9T8SUiItIUltZgtlze+WoV2rxbATkX3Zdq3ZevU/ElIiLSFCaT\no/vlLL7sdsear3adHLc1F+esL42b8HkqvkRERJqqbvFVUuDY17E5TzmCptwbiIovERGRpqpbfDX3\nmAknzfoyDBVfIiIiTRUQ6thSqLKsdrF9c37SEaCNthgyChVfIiIiTVV3yr2r89WleZ/DddpRxZev\nU/ElIiLSVAHOzbXP1Sm+mrnzpdOOhqHiS0REpKnqzvoqzAJMEBrXvM+h4sswVHyJiIg0lav4KnR0\nvkJiwBLQvM9haQ3WYBVfBqDiS0REpKkC2jouP98IRSebf7G9U1B7KFbx5etUfImIiDRV3GDHRPt/\nrQJ7TfOPmXAK6uCYcF9T0zKPL26h4ktERKSpovvCTz6HMb+GTkPhlokt8zxtIqCmCipLWubxxS38\nPR2AiIiIIbQKhiEzHF8tZdhPoNMQx3OJz1LxJSIi4itiBzq+xKfptKOIiIiIG6n4EhEREXEjjxZf\n77zzDikpKYwbN47Jkydz4MABAKqrq0lNTWXMmDGMGjWKtWvXur7n+PHjTJ06laSkJCZOnMjRo0c9\nFb6IiIjIdfPYmq9jx47xm9/8hg0bNhAREUF6ejo/+tGP+Pvf/866devIysoiLS2NkpISJk2aRO/e\nvenbty+zZs1i2rRpPPDAA6Snp/P000+TlpaGyWTyVCoiIiIiDeaxzpfVaiU1NZWICMcu7X369OHU\nqVNUVFSwbds2JkyYgL+/P6GhoSQnJ7Np0yZsNhvHjh0jOTkZgMTERC5cuMChQ4c8lYaIiIjIdWnx\n4is9PZ1evXpd9pWRkcE999wDgN1u54UXXmD48OFYrVZyc3OJjo52PUZUVBR5eXnk5uYSERGB2Vwb\ndmRkJHl5eS2dhoiIiEizaPHTjomJidfsTJWWlvKLX/yCvLw8XnvtNcBRjF3KbDZTc5WJvn5+fteM\noaSkhMzMzOuI2rv4cuyXMlIuYKx8jJQLGCsfI+UCxsrHKLkMHKjxFe7k0TlfOTk5zJgxg5tvvpk/\n//nPBAQ4NiGNjo6moKB27yqbzUZUVBQxMTGcOnUKu93uWuPlvO1agoKCfPaNlRCyUScAABUxSURB\nVJmZ6bOxX8pIuYCx8jFSLmCsfIyUCxgrHyPlIu7lsTVfhYWFfPe73+W+++7jlVdecRVeACNGjOCt\nt96iqqqKoqIiNm/ezMiRI4mKiqJTp05s2bIFgO3bt2M2m0lISPBUGiIiIiLXxWOdr7Vr15Kbm8uH\nH37Ihx9+6Lr+j3/8I1OmTCE7O5tx48ZRWVnJpEmTuP322wF4+eWXmTNnDsuXL8dqtbJ48eJ6a8BE\nREREvJnHiq+ZM2cyc+bMq97+/PPPX/H6+Ph4Vq1a1VJhiYiIiLQotYxERERE3EjFl4iIiIgbqfgS\nERERcSMVXyIiIiJupOJLRERExI1UfImIiIi4kYovERERETdS8SUiIiLiRiq+RERERNxIxZeIiIiI\nG6n4EhEREXEjFV8iIiIibqTiS0RERMSNVHyJiIiIuJGKLxERERE3UvElIiIi4kYqvkRERETcSMWX\niIiIiBup+BIRERFxIxVfIiIiIm6k4ktERETEjVR8iYiIiLiRii8RERERN1LxJSIiIuJGKr5ERERE\n3EjFl4iIiIgbqfgSERERcSMVXyIiIiJupOJLRERExI1UfImIiIi4kYovERERETdS8SUiIiLiRiq+\nRERERNxIxZeIiIiIG6n4EhEREXEjFV8iIiIibqTiS0RERMSNVHyJiIiIuJGKLxERERE3UvElIiIi\n4kYeLb5Wr15NcnIyY8eOZebMmZw+fRqA6upqUlNTGTNmDKNGjWLt2rWu7zl+/DhTp04lKSmJiRMn\ncvToUU+FLyIiInLdPFZ8HTx4kNdff51169aRlpZGfHw8ixcvBmDdunVkZWWRlpbG+vXr+dOf/sT+\n/fsBmDVrFlOmTGHLli386Ec/4umnn8Zut3sqDREREZHr4u+pJ+7Tpw9bt27FYrFQXl6OzWajY8eO\nAGzbto2HHnoIf39/QkNDSU5OZtOmTURGRnLs2DGSk5MBSExMZMGCBRw6dIjevXtf8XmysrIoLS3l\nkUcecVtuzen8+fMEBwd7OoxmYaRcwFj5GCkXMFY+RsoFjJWPkXLp0aMHzz//vKfDuGG0eOcrPT2d\nXr16Xfa1ceNGLBYL27Zt4+6772bPnj1MmDABgNzcXKKjo12PERUVRV5eHrm5uURERGA214YdGRlJ\nXl7eVZ8/LCyMwMDAlkuwhRnlPzYYKxcwVj5GygWMlY+RcgFj5WOkXMS9WrzzlZiYyKFDh656+8iR\nIxk5ciRvvvkmjz/+OB9++OEVTyOazWZqamqu+Bh+fn5XffyNGzdef9AiIiIiLcRja76ysrLIyMhw\n/f3BBx8kJyeHc+fOER0dTUFBges2m81GVFQUMTExnDp1ql5x5rxNRERExBd4rPgqKCjgJz/5CWfO\nnAHg3XffpVu3brRr144RI0bw1ltvUVVVRVFREZs3b2bkyJFERUXRqVMntmzZAsD27dsxm80kJCR4\nKg0RERGR62Kye/Cjgm+88QZvvPEGfn5+REREMHfuXOLi4qiqquLXv/41O3fupLKykkmTJvH4448D\njlETc+bM4ezZs1itVn71q19ddbG9iIiIiLfxaPElIiIicqPRhHsRERERN1LxJSIiIuJGKr5ERERE\n3EjFlw+qqKhw/dkIS/bKysoAx56evs5or01VVZXrz76ej6/HfykjvdeMdAwAY7020jI8tr2QNM6q\nVavYs2cP8fHxpKSk0LVrV2pqaupN/fcle/bs4eWXX2bVqlX4+/v7dC5//vOf2blzJzExMTz22GPE\nxcV5OqQmWbNmDQcPHqRfv37cc889Pj1Pb+3ateTl5XHbbbfRs2dPwsPDffq9ZqTjgJGOAWC844C0\nDN99h99gysvLeeaZZ9i1axcpKSkUFxe79uHy5QPV559/zr/+9S+WLVsG+GYuNTU1zJ07lx07djB+\n/Hh69uzp07/tVlRU8Mwzz5Cenk6/fv346KOPeP/99z0dVqNUVFTw7LPP8sEHHxAQEMD69euZPXs2\n4Hiv+drrZMTjgBGOAWC844C0LHW+fMTx48cpKipi5cqVAMTExHD48GFsNhsRERGYTCYPR3h97HY7\nJpOJoKAgvve977Fjxw4SEhJISkqiurr6mltGeZvS0lLy8/NZvnw5ZrOZI0eOUFBQQEVFBV27dnXl\n6itOnjxJaWkpv//97wHYt28f4eHhFBUVERIS4lP52Gw2zp8/7/p/c+rUKZ555hnmzZvHggULPBzd\n9cvKyjLMccBIxwAw3nFAWpaKLy9Wt/1eU1OD1Wp1bTpeWVlJaWkp7dq185n/0HXzccZ8+PBhOnfu\nTKdOnVi5ciVhYWG0a9eO7t27ezLUb1U3F4vFwldffcWePXvIzs5m1apV9OjRg3/+858899xzjB07\n1utPpdSNr127duzZs4dly5ZRXFxMeno6BQUFvPrqq/z0pz/l3nvv9ep86v6QCwwMJD8/n4yMDAYN\nGkT79u2ZO3cuTz75JLt27WLo0KFe/0OxbnxVVVW0atWKvLw8oqKifO444Mylbk6+egyA+q+Nv78/\nR44c8enjgLiP3/z58+d7Ogi53K5du3juuef46quvyM/P54477qBv375ERUXh5+fHu+++S3l5OWPH\njvV0qA1SN5/c3FzXrgRbtmxh/Pjx3H333fz1r3/l9ddf56677qJLly7U1NR45Q+UurmcPHmSPn36\nkJ+fT1ZWFidOnGDp0qXcf//9hIeHs2jRIh599FH8/b3395y6+eTk5DBw4ED69u3L4cOH+fTTT9m8\neTPJycmYTCZWrFjBpEmTvDafwsJC5s2bx0033URYWBjFxcXk5uZSUlJC9+7dsVqttG/fnvLycvbu\n3UtiYqJX/zC8NB+LxcKAAQOIjo72uePApblUVFTg5+fnk8cAuDyf0tJSTp06RXZ2Nt988w1Llizx\nqeOAuJf3HnVuYFu3biU1NZVp06YxcOBAXnnlFTZu3EiHDh2wWCzU1NTw8ccfM2zYMABWrlzJkiVL\nPBz11dXNZ9CgQSxZsoS//OUvAHTp0oXMzEx+/OMfExAQQPfu3Tl37hzgnWs/Ln1tli1bxnvvvUdk\nZCT79u3jm2++ISAgAIDBgwczZMgQampqPBz11V2az9KlS3nzzTcZMmQI/fv3p3PnzlitVqxWK337\n9mXAgAFefTro6NGjpKens3btWgAiIiLo3r07X375Jdu3b3fdLygoiODgYK98j9V1aT5t27alS5cu\nWCwWAJ86Dlyai9VqBaBjx4589tlnPnMMcLo0n5CQELp27UpGRobPHQfE/dT58kK7du2iX79+fOc7\n3+Hmm28mIiKCt99+m7i4OGJjY6mqquLjjz8mKSmJJUuW8MUXXzB9+nTCwsI8HfoV1c3npptuIiIi\ngo0bNxIeHs7mzZvZsmULDzzwAPPnz6d169b8/e9/Z/jw4ZjNZq/7rffS1yY8PJy0tDTuvvtuTCYT\nNpuNc+fO0a1bN+bNm4fFYmH06NFe+0Pkau+1qKgoiouLKSgowGKx0LlzZxYuXEhISIgrV2/i7JCs\nXr0aPz8/TCYTJ06c4NZbbyUhIYEvvviCQ4cOcfr0afr06cPy5cuJiopi8ODBng79iq6Uz8mTJxkw\nYIDr376iosInjgPXyqW6uprf//73pKWl+cwx4NveazabjdzcXIqKiujatatPHAfE/VR8eYn8/HwC\nAgIwm828//777Nmzh3HjxgGQkJDg+kTQ6NGjOXnyJL/61a/YuXMngwYNIjU11esOuN+Wz/79+8nN\nzWXy5MmkpKRw3333AY7fglNSUlwHNW9wrVx69OhBZmYmX3/9NdOnTycoKIhNmzaxdetWunXrxoIF\nC7zugPttr82BAwf46quvGDlyJEePHmXTpk288cYb9O7dm+eee85rXheozcXPz4/q6mo+++wzRo0a\nRYcOHfjoo4+IjY0lLi6OLl26YLVaWb9+PW+//TZdu3Zl1qxZng7/MtfK529/+xtxcXFER0cDkJOT\nw3//93977XHg23KJjY2lY8eOdOzYkXHjxjFq1CjAO48B0PD3Wnx8PCEhIbzzzju8//77XnscEM/S\nxtoedurUKZ599lmCgoLw8/Nj+vTpdOrUiccee4wf/vCHJCUlAVBcXMyoUaNYunQpYWFhLFy4kKee\neooBAwZ4OIP6riefkSNHsmzZMgYNGkRVVZXXHWyvN5f/+7//Y+DAgZSXl1NWVkZoaKiHM6jvevIZ\nMWIEr732Grfccgv5+fmUl5d71bwiZy6BgYG0atWKqVOnMnToULKysujcuTM2m43Vq1eTnZ3NCy+8\nQGBgIODIrby8nPDwcA9nUF9D8zlx4gSLFi0iMDCQ/fv3s3jxYq87DlzPa7No0SKCgoIAx4BVb+x0\nNfa9VlFRwYULF7zuOCDeQZ0vD7Hb7RQXFzN37lwGDx7MvHnz+PLLL9m5cyelpaUMGzaMFStWkJyc\nTEBAAFarlSNHjjBgwAB69OhBSkqK6zdgb9CYfI4ePcott9xCdHS0Vx10G5tLnz59iI6Oxt/f37Xe\nwxs0Np9evXoRHR1NUFCQ1/wAuTSX+fPn88UXX7Br1y7Onj3LXXfdBUCbNm1o3bq163TjHXfcATjW\nGTl/OHqDxuTz+eefc+eddxIZGelVx4HG5PLll1+6XhtvOgZA099rfn5+XnUcEO+iPqgHVFdXU1NT\n4+r03H777QA88cQTDB48mB07dhAWFsbQoUOZNm0ae/fuZdmyZRw8eJB27dp53UfjG5vPgQMHiIiI\n8HD09RkpF2jae83b8rlaLk8++SRDhgwhPT2d/fv3u+7fp08fhgwZQlZWFgUFBZ4K+6oam092djY2\nm82rPgnY2FyOHz9Ofn6+p8K+KqO918T7qPPlZrt37+ZnP/sZGRkZrF27ltjYWGJiYoiJiSEwMJCQ\nkBDy8vIoKCjgpz/9KVlZWRw6dIjc3FxeeeUVIiMjveaAC82Tj7cwUi5grHyulUvr1q0JDQ0lNzeX\nEydOcNttt2EymfDz8yM2Npb777/fazp3Tk3Np23btl5zHNBr4935iHfS0BE3eu+991i+fDnPPvss\nCQkJPP744xw6dIiKigp69uxJhw4d6NSpE+Hh4Xz22WcA/PznP/dw1FdnpHyMlAsYK5+G5BIXF0f7\n9u05cOCAa9sgk8lESEiIp8O/jJHyMVIuYLx8xHup8+VGb7zxBmPHjmXMmDGEhISQn59Pnz592Ldv\nH6WlpcTHxxMUFITdbufAgQMMHz7cq2cqGSkfI+UCxsrnenLZu3cvI0aM8NpcwFj5GCkXMF4+4r3U\n+XKjiIgICgsLXVtM7N+/n0mTJnH//fezePFijhw5Qt++fVmzZg2PPfaYawihtzJSPkbKBYyVz/Xm\n4hxA6q2MlI+RcgHj5SPeS6Mm3OjcuXOYzWaCg4OpqKhgypQppKam0rNnTw4fPsyxY8fYt28fI0eO\nZNCgQZ4O91sZKR8j5QLGysdIuYCx8jFSLmC8fMSL2cUjtm3bZn/ggQfsdrvdvmfPHvtDDz1kz83N\n9XBUjWekfIyUi91urHyMlIvdbqx8jJSL3W68fMS7aM2Xh3z66aeEhIRw5MgRXn/9dR599FEGDhzo\n6bAazUj5GCkXMFY+RsoFjJWPkXIB4+Uj3kVrvjzks88+Y9OmTTz44IP87ne/86ptQRrDSPkYKRcw\nVj5GygWMlY+RcgHj5SPeRWu+PGTNmjVYLBYeeughT4fSLIyUj5FyAWPlY6RcwFj5GCkXMF4+4l1U\nfHmI89M0RmGkfIyUCxgrHyPlAsbKx0i5gPHyEe+i4ktERETEjVTWi4iIiLiRii8RERERN1LxJSLN\npqioiHPnzjXovmVlZRQUFLRwRCIi3kfFl4h8q+9///ssXbr0W+83atQosrOzG/SYU6dOJTMzE4BN\nmzYxceLEJsUoIuIrNOdLRJpNYWFho+6bkpJCSkpKS4QkIuJ11PkSkct88sknpKSk0L9/f5566imK\ni4sBx953P/vZzxg+fDj9+vUjKSmJHTt2ALiKp+9+97ts2rQJgDfffJPRo0dz2223MX36dLKysgCY\nMWMGOTk5zJ49mxUrVrBhwwbGjh0LwIYNG5g+fTq//OUvufXWWxk+fDg7duxg7ty5DBw4kOHDh7Nr\n1y5XrH/7299ISUlh0KBBTJ48mQMHDrjt30lEpDFUfIlIPWfOnGHmzJk88sgjZGRkkJSUREZGBgC/\n+c1vKC8vZ/PmzWRmZpKYmEhqaiqAq+BavXo1KSkpfPDBByxevJhXXnmFHTt2MGTIEJ588kkqKytZ\nsWIFMTExvPjii8yYMeOyGHbs2MGgQYPIyMhg2LBhPPHEE/Tu3Zvdu3czevRoXnrpJQAOHDjArFmz\n+K//+i92797NlClT+M///M8GrzsTEfEEFV8iUs/HH39MZGQk//Ef/4G/vz9JSUncfvvtADz77LOk\npqZisVjIycmhTZs22Gy2Kz7Om2++ySOPPEKvXr2wWq08+eSTlJSU8Omnn35rDB06dOA73/kOZrOZ\nwYMHExQUxKRJk7BYLNx5553k5OQAsH79esaOHcvQoUPx9/dn3LhxxMfHs3Xr1ub7BxERaWZa8yUi\n9RQUFBAVFVXvutjYWADy8/NZuHAh//73v+nSpQvt27fnanOac3JyWLFiBa+99prrusrKSlfhdC2h\noaGuP5vNZoKDg+v9vaamxvUcn3zyCe+9957r9qqqqgY9h4iIp6j4EpF6IiMjLytebDYbsbGx/PjH\nP2b8+PGsWrUKs9nMBx98wM6dO6/4OBERETz88MM8/PDDruuOHTtGdHT0t8ZgMpkaFKvzOX7+85+7\nrjtx4gTt2rVr0PeLiHiCTjuKSD333nsvhYWFrFq1iqqqKrZt28bu3bsBKC4uJiAgALPZTFZWFitW\nrKCystL1vRaLxbU4f/z48fzxj3/kyJEj2O120tLSSElJIS8v77L7Ntb48ePZsGEDe/fuxW63s2vX\nLsaOHcvBgweb9LgiIi1JnS8Rqadt27b87ne/Y8GCBfzv//4v/fv35+677wZg4cKFLFq0iMWLFxMR\nEcHkyZN56aWXOHHiBHFxcUycOJEZM2Ywe/ZsHn74YYqLi/nhD39Ifn4+cXFxLF26lC5dugAwYcIE\nUlNTycrKcl13vQYNGsT8+fOZM2cOJ0+epEOHDsydO5chQ4Y027+HiEhz08baIiIiIm6k044iIiIi\nbqTiS0RERMSNVHyJiIiIuJGKLxERERE3UvElIiIi4kYqvkRERETcSMWXiIiIiBup+BIRERFxIxVf\nIiIiIm70/2alBisfAHlqAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11c9d7150>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order = ['ERCOT', 'SPP']\n",
    "FG_kwargs = dict(hue='region',\n",
    "                 aspect=1.5,\n",
    "                 size=5,\n",
    "                 hue_order=order,\n",
    "                 ylim=(-300, 300))\n",
    "\n",
    "detrend_df = gen_index.loc[gen_index['region'].isin(order)].copy()\n",
    "for col in order:\n",
    "    detrend_df.loc[detrend_df['region'] == col, 'monthly index (g/kWh)'] = detrend(detrend_df.loc[detrend_df['region'] == col, 'monthly index (g/kWh)'])\n",
    "    \n",
    "corr_coef = detrend_df.pivot_table(values='monthly index (g/kWh)',\n",
    "                                   index='datetime', columns='region').corr()\n",
    "corr_coef = corr_coef.iloc[1, 0]\n",
    "region_facet_grid(df=detrend_df, plot_function=plt.plot, x_axis='datetime',\n",
    "                  add_legend=True, y_axis='monthly index (g/kWh)', col_order=order, \n",
    "                  suptitle='Monthly Index (detrended)', FG_kwargs=FG_kwargs)\n",
    "\n",
    "plt.figtext(.55, .85, 'Pearson corr = {:.2f}'.format(corr_coef))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-25T11:40:34.013148",
     "start_time": "2017-07-25T11:40:33.601893"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11ae1a650>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl8AAAF7CAYAAADsau6gAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkSBS8iUiIiISRP8PBqU2gPAu/EkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a3e79d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order = ['ERCOT', 'SPP']\n",
    "FG_kwargs = dict(hue='region',\n",
    "                 aspect=1.5,\n",
    "                 size=5,\n",
    "                 hue_order=order,\n",
    "                 ylim=(-300, 300))\n",
    "\n",
    "detrend_df = gen_index.loc[gen_index['region'].isin(order)].copy()\n",
    "for col in order:\n",
    "    detrend_df.loc[detrend_df['region'] == col,\n",
    "                   'monthly index (g/kWh)'] = shift_detrend(detrend_df.loc[detrend_df['region'] == col,\n",
    "                                                                           'monthly index (g/kWh)'], 12)\n",
    "    \n",
    "corr_coef = detrend_df.pivot_table(values='monthly index (g/kWh)',\n",
    "                                   index='datetime', columns='region').corr()\n",
    "corr_coef = corr_coef.iloc[1, 0]\n",
    "region_facet_grid(df=detrend_df, plot_function=plt.plot, x_axis='datetime',\n",
    "                  add_legend=True, y_axis='monthly index (g/kWh)', col_order=order, \n",
    "                  suptitle='Monthly Index (detrended)', FG_kwargs=FG_kwargs)\n",
    "\n",
    "plt.figtext(.55, .85, 'Pearson corr = {:.2f}'.format(corr_coef))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot all regions detrended"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-26T11:32:30.989554",
     "start_time": "2017-07-26T11:32:29.089408"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1AAAAKhCAYAAABeok85AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a70ac90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order = ['MRO', 'SPP', 'RFC', 'ERCOT', 'FRCC', 'SERC',\n",
    "         'WECC', 'NPCC']\n",
    "FG_kwargs = dict(hue='region',\n",
    "                 col='region',\n",
    "                 col_wrap=3,\n",
    "                 aspect=1.2,\n",
    "                 hue_order=order,\n",
    "                 ylim=(-300, 300))\n",
    "\n",
    "detrend_df = gen_index.loc[gen_index['region'].isin(order)].copy()\n",
    "for col in order:\n",
    "    detrend_df.loc[detrend_df['region'] == col, 'monthly index (g/kWh)'] = detrend(detrend_df.loc[detrend_df['region'] == col, 'monthly index (g/kWh)'])\n",
    "    \n",
    "corr_coef = detrend_df.pivot_table(values='monthly index (g/kWh)',\n",
    "                                   index='datetime', columns='region').corr()\n",
    "corr_coef = corr_coef.iloc[1, 0]\n",
    "region_facet_grid(df=detrend_df, plot_function=plt.plot, x_axis='datetime', #col_order=order,\n",
    "                  add_legend=True, y_axis='monthly index (g/kWh)', col_order=order, \n",
    "                  suptitle='Monthly Index (detrended)', FG_kwargs=FG_kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlation in Index across regions over time\n",
    "Because each region is decreasing over time, need to detrend the data before finding the correlation matrix. Using the statsmodel detrend function, with an assumption that the trends are linear (order 1)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-17T13:52:06.605119",
     "start_time": "2017-07-17T13:52:06.561893"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "nerc_index = gen_index.pivot_table(values='monthly index (g/kWh)',\n",
    "                                   index='datetime', columns='region')\n",
    "nerc_index_detrend = pd.DataFrame(index=nerc_index.index)\n",
    "for col in nerc_index.columns:\n",
    "    nerc_index_detrend.loc[:, col] = detrend(nerc_index.loc[:, col])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-17T13:50:36.484481",
     "start_time": "2017-07-17T13:50:36.066740"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x14a5338d0>"
      ]
     },
     "execution_count": 299,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAUwAAAEcCAYAAACs4I2oAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15ef78cd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(nerc_index_detrend.corr(), square=True, cmap='magma_r')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Are correlation patterns different in summer vs winter?\n",
    "- Does correlation change over time?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Percent of national generation from each NERC region"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-12T21:30:43.175253",
     "start_time": "2017-07-12T21:30:43.155727"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "nerc_gen = gen_index.pivot(index='datetime', columns='region', values='Total gen')\n",
    "regions = nerc_gen.columns\n",
    "nerc_gen['Total'] = nerc_gen.sum(axis=1)\n",
    "percent_nerc_gen = nerc_gen.iloc[:, :-1].divide(nerc_gen.iloc[:, -1], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-12T21:30:44.007132",
     "start_time": "2017-07-12T21:30:44.003273"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "percent_nerc_gen.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-12T21:30:44.608812",
     "start_time": "2017-07-12T21:30:44.603606"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "percent_nerc_gen = pd.melt(percent_nerc_gen, id_vars='datetime',\n",
    "                           value_name='Percent Generation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-14T16:51:32.790936",
     "start_time": "2017-07-14T16:51:30.117897"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmAAAAF7CAYAAAB1kjcVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nlFI29n+ujclcuWbbEwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15bf2b050>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order = ['MRO', 'SPP', 'RFC', 'ERCOT', 'FRCC', 'SERC',\n",
    "         'WECC', 'NPCC']\n",
    "FG_kwargs = dict(hue='region',\n",
    "                 aspect=1.5,\n",
    "                 size=5,\n",
    "                 hue_order=order)\n",
    "region_facet_grid(df=percent_nerc_gen, plot_function=plt.plot, x_axis='datetime',\n",
    "                  add_legend=True, y_axis='Percent Generation', \n",
    "                  suptitle='Percent generation from each NERC region', FG_kwargs=FG_kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Generation in each NERC region in 2015"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-13T11:35:29.629609",
     "start_time": "2017-07-13T11:35:29.544804"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>region</th>\n",
       "      <th>ERCOT</th>\n",
       "      <th>FRCC</th>\n",
       "      <th>MRO</th>\n",
       "      <th>NPCC</th>\n",
       "      <th>RFC</th>\n",
       "      <th>SERC</th>\n",
       "      <th>SPP</th>\n",
       "      <th>WECC</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>3.725800e+08</td>\n",
       "      <td>1.909453e+08</td>\n",
       "      <td>2.161632e+08</td>\n",
       "      <td>2.605056e+08</td>\n",
       "      <td>9.399041e+08</td>\n",
       "      <td>9.938657e+08</td>\n",
       "      <td>9.999798e+07</td>\n",
       "      <td>6.451816e+08</td>\n",
       "      <td>3.719144e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>3.856285e+08</td>\n",
       "      <td>2.033528e+08</td>\n",
       "      <td>2.243845e+08</td>\n",
       "      <td>2.639318e+08</td>\n",
       "      <td>9.726140e+08</td>\n",
       "      <td>1.031267e+09</td>\n",
       "      <td>1.063719e+08</td>\n",
       "      <td>6.522096e+08</td>\n",
       "      <td>3.839760e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>3.791997e+08</td>\n",
       "      <td>2.126100e+08</td>\n",
       "      <td>2.270116e+08</td>\n",
       "      <td>2.677912e+08</td>\n",
       "      <td>9.679986e+08</td>\n",
       "      <td>1.036856e+09</td>\n",
       "      <td>1.071944e+08</td>\n",
       "      <td>6.671349e+08</td>\n",
       "      <td>3.865796e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>3.902991e+08</td>\n",
       "      <td>2.181179e+08</td>\n",
       "      <td>2.255123e+08</td>\n",
       "      <td>2.714832e+08</td>\n",
       "      <td>9.882323e+08</td>\n",
       "      <td>1.059385e+09</td>\n",
       "      <td>1.075122e+08</td>\n",
       "      <td>6.920395e+08</td>\n",
       "      <td>3.952582e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>3.966687e+08</td>\n",
       "      <td>2.202564e+08</td>\n",
       "      <td>2.289179e+08</td>\n",
       "      <td>2.830366e+08</td>\n",
       "      <td>1.018798e+09</td>\n",
       "      <td>1.074424e+09</td>\n",
       "      <td>1.144705e+08</td>\n",
       "      <td>7.005246e+08</td>\n",
       "      <td>4.037097e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>4.005829e+08</td>\n",
       "      <td>2.237516e+08</td>\n",
       "      <td>2.300444e+08</td>\n",
       "      <td>2.744769e+08</td>\n",
       "      <td>9.998087e+08</td>\n",
       "      <td>1.070732e+09</td>\n",
       "      <td>1.161386e+08</td>\n",
       "      <td>7.308524e+08</td>\n",
       "      <td>4.046387e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>4.054923e+08</td>\n",
       "      <td>2.254161e+08</td>\n",
       "      <td>2.374609e+08</td>\n",
       "      <td>2.784050e+08</td>\n",
       "      <td>1.022114e+09</td>\n",
       "      <td>1.106244e+09</td>\n",
       "      <td>1.229413e+08</td>\n",
       "      <td>7.402408e+08</td>\n",
       "      <td>4.138315e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>4.047878e+08</td>\n",
       "      <td>2.196368e+08</td>\n",
       "      <td>2.435205e+08</td>\n",
       "      <td>2.674164e+08</td>\n",
       "      <td>1.000488e+09</td>\n",
       "      <td>1.085137e+09</td>\n",
       "      <td>1.229592e+08</td>\n",
       "      <td>7.572186e+08</td>\n",
       "      <td>4.101164e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>3.971679e+08</td>\n",
       "      <td>2.179523e+08</td>\n",
       "      <td>2.407059e+08</td>\n",
       "      <td>2.548166e+08</td>\n",
       "      <td>9.153819e+08</td>\n",
       "      <td>1.049575e+09</td>\n",
       "      <td>1.217441e+08</td>\n",
       "      <td>7.352388e+08</td>\n",
       "      <td>3.932583e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>4.116950e+08</td>\n",
       "      <td>2.290959e+08</td>\n",
       "      <td>2.569122e+08</td>\n",
       "      <td>2.666871e+08</td>\n",
       "      <td>9.769732e+08</td>\n",
       "      <td>1.116945e+09</td>\n",
       "      <td>1.201745e+08</td>\n",
       "      <td>7.287731e+08</td>\n",
       "      <td>4.107256e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>4.354574e+08</td>\n",
       "      <td>2.218946e+08</td>\n",
       "      <td>2.559552e+08</td>\n",
       "      <td>2.608021e+08</td>\n",
       "      <td>9.513253e+08</td>\n",
       "      <td>1.096300e+09</td>\n",
       "      <td>1.199656e+08</td>\n",
       "      <td>7.406095e+08</td>\n",
       "      <td>4.082310e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>4.298125e+08</td>\n",
       "      <td>2.210961e+08</td>\n",
       "      <td>2.549966e+08</td>\n",
       "      <td>2.566524e+08</td>\n",
       "      <td>9.218282e+08</td>\n",
       "      <td>1.078700e+09</td>\n",
       "      <td>1.223212e+08</td>\n",
       "      <td>7.447823e+08</td>\n",
       "      <td>4.030189e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>4.333802e+08</td>\n",
       "      <td>2.223989e+08</td>\n",
       "      <td>2.561657e+08</td>\n",
       "      <td>2.515223e+08</td>\n",
       "      <td>9.307387e+08</td>\n",
       "      <td>1.082139e+09</td>\n",
       "      <td>1.221463e+08</td>\n",
       "      <td>7.505837e+08</td>\n",
       "      <td>4.049075e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>4.377934e+08</td>\n",
       "      <td>2.301349e+08</td>\n",
       "      <td>2.618739e+08</td>\n",
       "      <td>2.491858e+08</td>\n",
       "      <td>9.424851e+08</td>\n",
       "      <td>1.091380e+09</td>\n",
       "      <td>1.198891e+08</td>\n",
       "      <td>7.551188e+08</td>\n",
       "      <td>4.087861e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>4.500498e+08</td>\n",
       "      <td>2.375687e+08</td>\n",
       "      <td>2.667626e+08</td>\n",
       "      <td>2.506158e+08</td>\n",
       "      <td>9.148136e+08</td>\n",
       "      <td>1.087641e+09</td>\n",
       "      <td>1.216704e+08</td>\n",
       "      <td>7.453607e+08</td>\n",
       "      <td>4.074483e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>4.558160e+08</td>\n",
       "      <td>2.381459e+08</td>\n",
       "      <td>2.651052e+08</td>\n",
       "      <td>2.443398e+08</td>\n",
       "      <td>9.231032e+08</td>\n",
       "      <td>1.080953e+09</td>\n",
       "      <td>1.258235e+08</td>\n",
       "      <td>7.460478e+08</td>\n",
       "      <td>4.079335e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>9.915130e+07</td>\n",
       "      <td>5.071177e+07</td>\n",
       "      <td>6.622780e+07</td>\n",
       "      <td>5.712312e+07</td>\n",
       "      <td>2.159938e+08</td>\n",
       "      <td>2.473217e+08</td>\n",
       "      <td>2.929221e+07</td>\n",
       "      <td>1.810598e+08</td>\n",
       "      <td>9.468813e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "region         ERCOT          FRCC           MRO          NPCC           RFC  \\\n",
       "Year                                                                           \n",
       "2001    3.725800e+08  1.909453e+08  2.161632e+08  2.605056e+08  9.399041e+08   \n",
       "2002    3.856285e+08  2.033528e+08  2.243845e+08  2.639318e+08  9.726140e+08   \n",
       "2003    3.791997e+08  2.126100e+08  2.270116e+08  2.677912e+08  9.679986e+08   \n",
       "2004    3.902991e+08  2.181179e+08  2.255123e+08  2.714832e+08  9.882323e+08   \n",
       "2005    3.966687e+08  2.202564e+08  2.289179e+08  2.830366e+08  1.018798e+09   \n",
       "2006    4.005829e+08  2.237516e+08  2.300444e+08  2.744769e+08  9.998087e+08   \n",
       "2007    4.054923e+08  2.254161e+08  2.374609e+08  2.784050e+08  1.022114e+09   \n",
       "2008    4.047878e+08  2.196368e+08  2.435205e+08  2.674164e+08  1.000488e+09   \n",
       "2009    3.971679e+08  2.179523e+08  2.407059e+08  2.548166e+08  9.153819e+08   \n",
       "2010    4.116950e+08  2.290959e+08  2.569122e+08  2.666871e+08  9.769732e+08   \n",
       "2011    4.354574e+08  2.218946e+08  2.559552e+08  2.608021e+08  9.513253e+08   \n",
       "2012    4.298125e+08  2.210961e+08  2.549966e+08  2.566524e+08  9.218282e+08   \n",
       "2013    4.333802e+08  2.223989e+08  2.561657e+08  2.515223e+08  9.307387e+08   \n",
       "2014    4.377934e+08  2.301349e+08  2.618739e+08  2.491858e+08  9.424851e+08   \n",
       "2015    4.500498e+08  2.375687e+08  2.667626e+08  2.506158e+08  9.148136e+08   \n",
       "2016    4.558160e+08  2.381459e+08  2.651052e+08  2.443398e+08  9.231032e+08   \n",
       "2017    9.915130e+07  5.071177e+07  6.622780e+07  5.712312e+07  2.159938e+08   \n",
       "\n",
       "region          SERC           SPP          WECC         Total  \n",
       "Year                                                            \n",
       "2001    9.938657e+08  9.999798e+07  6.451816e+08  3.719144e+09  \n",
       "2002    1.031267e+09  1.063719e+08  6.522096e+08  3.839760e+09  \n",
       "2003    1.036856e+09  1.071944e+08  6.671349e+08  3.865796e+09  \n",
       "2004    1.059385e+09  1.075122e+08  6.920395e+08  3.952582e+09  \n",
       "2005    1.074424e+09  1.144705e+08  7.005246e+08  4.037097e+09  \n",
       "2006    1.070732e+09  1.161386e+08  7.308524e+08  4.046387e+09  \n",
       "2007    1.106244e+09  1.229413e+08  7.402408e+08  4.138315e+09  \n",
       "2008    1.085137e+09  1.229592e+08  7.572186e+08  4.101164e+09  \n",
       "2009    1.049575e+09  1.217441e+08  7.352388e+08  3.932583e+09  \n",
       "2010    1.116945e+09  1.201745e+08  7.287731e+08  4.107256e+09  \n",
       "2011    1.096300e+09  1.199656e+08  7.406095e+08  4.082310e+09  \n",
       "2012    1.078700e+09  1.223212e+08  7.447823e+08  4.030189e+09  \n",
       "2013    1.082139e+09  1.221463e+08  7.505837e+08  4.049075e+09  \n",
       "2014    1.091380e+09  1.198891e+08  7.551188e+08  4.087861e+09  \n",
       "2015    1.087641e+09  1.216704e+08  7.453607e+08  4.074483e+09  \n",
       "2016    1.080953e+09  1.258235e+08  7.460478e+08  4.079335e+09  \n",
       "2017    2.473217e+08  2.929221e+07  1.810598e+08  9.468813e+08  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nerc_gen['Year'] = nerc_gen.index.year\n",
    "nerc_gen.groupby('Year').sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Percent of each fuel used in each NERC region"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-13T16:28:59.069862",
     "start_time": "2017-07-13T16:28:59.046509"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "all_fuels = ['Coal', 'Natural Gas', 'Nuclear', 'Other', 'Other Renewables',\n",
    "                 'Wind', 'Solar', 'Hydro']\n",
    "value_cols = ['percent {}'.format(fuel) for fuel in all_fuels]\n",
    "\n",
    "percent_gen_df = pd.melt(gen_index, id_vars=['region', 'datetime'], \n",
    "        value_vars=value_cols, value_name='percent generation',\n",
    "                        var_name='fuel')\n",
    "percent_gen_df['fuel'] = percent_gen_df['fuel'].map(lambda x: x.split()[-1])\n",
    "percent_gen_df['fuel'].replace('Renewables', 'Other Renewables', inplace=True)\n",
    "percent_gen_df['fuel'].replace('Gas', 'Natural Gas', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-12T21:32:05.772758",
     "start_time": "2017-07-12T21:32:05.754736"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>region</th>\n",
       "      <th>datetime</th>\n",
       "      <th>fuel</th>\n",
       "      <th>percent generation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ERCOT</td>\n",
       "      <td>2001-01-01</td>\n",
       "      <td>Coal</td>\n",
       "      <td>0.376885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ERCOT</td>\n",
       "      <td>2001-02-01</td>\n",
       "      <td>Coal</td>\n",
       "      <td>0.399461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ERCOT</td>\n",
       "      <td>2001-03-01</td>\n",
       "      <td>Coal</td>\n",
       "      <td>0.398997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ERCOT</td>\n",
       "      <td>2001-04-01</td>\n",
       "      <td>Coal</td>\n",
       "      <td>0.355349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ERCOT</td>\n",
       "      <td>2001-05-01</td>\n",
       "      <td>Coal</td>\n",
       "      <td>0.362512</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  region   datetime  fuel  percent generation\n",
       "0  ERCOT 2001-01-01  Coal            0.376885\n",
       "1  ERCOT 2001-02-01  Coal            0.399461\n",
       "2  ERCOT 2001-03-01  Coal            0.398997\n",
       "3  ERCOT 2001-04-01  Coal            0.355349\n",
       "4  ERCOT 2001-05-01  Coal            0.362512"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_gen_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** This could be figure 2?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-13T16:29:02.726718",
     "start_time": "2017-07-13T16:29:02.719948"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Coal', 'Natural Gas', 'Nuclear', 'Other', 'Other Renewables',\n",
       "       'Wind', 'Solar', 'Hydro'], dtype=object)"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_gen_df['fuel'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-14T16:51:32.790936",
     "start_time": "2017-07-14T16:51:30.117897"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA4cAAAKGCAYAAAD5xu6HAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15d8f4dd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order = ['MRO', 'SPP', 'RFC', 'ERCOT', 'FRCC', 'SERC',\n",
    "         'WECC', 'NPCC']\n",
    "fuel_order = ['Coal', 'Natural Gas', 'Nuclear', 'Hydro', 'Wind', 'Solar',\n",
    "              'Other', 'Other Renewables']\n",
    "FG_kwargs = dict(hue='fuel',\n",
    "                 col='region',\n",
    "                 col_wrap=3,\n",
    "                 aspect=1.2,\n",
    "                 hue_order=fuel_order)\n",
    "region_facet_grid(df=percent_gen_df, plot_function=plt.plot, x_axis='datetime',\n",
    "                  add_legend=True, y_axis='percent generation', col_order=order, \n",
    "                  suptitle='', FG_kwargs=FG_kwargs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T11:52:38.010991",
     "start_time": "2017-07-18T11:52:37.983640"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def region_bokeh_plot(df, fuel, x_axis, y_axis, x_range=None, y_range=None,\n",
    "                     x_lower_lim=0, x_upper_lim=None):\n",
    "    figs = {}\n",
    "    if not x_upper_lim:\n",
    "        x_upper_lim = df[x_axis].max()\n",
    "        \n",
    "    for region in df['region'].unique():\n",
    "        temp = gen_index.loc[gen_index['region'] == region]\n",
    "        max_change = temp[x_axis].max()\n",
    "        \n",
    "        if max_change <= x_upper_lim and max_change >= x_lower_lim:\n",
    "            \n",
    "            source = ColumnDataSource(data=dict(\n",
    "            x=temp[x_axis],\n",
    "            y=temp[y_axis],\n",
    "            datetime=temp['datetime'],\n",
    "            colors= viridis(len(temp))\n",
    "            ))\n",
    "            \n",
    "            hover = HoverTool(tooltips=[\n",
    "                                    (\"(x,y)\", \"($x, $y)\"),\n",
    "                                    (\"datetime\", \"@datetime{%F}\")],\n",
    "                             formatters={\n",
    "                                     'datetime': 'datetime', # use 'datetime' formatter\n",
    "                                        })\n",
    "            hover.point_policy = \"snap_to_data\"\n",
    "\n",
    "            fuel_2005 = weighted_percent(temp, fuel, 2005)\n",
    "            fuel_2016 = weighted_percent(temp, fuel, 2016)\n",
    "            title = region + ' {:.1f}% to {:.1f}% {}'.format(fuel_2005, \n",
    "                                                             fuel_2016, fuel)\n",
    "\n",
    "            figs[region] = figure(title=title, tools=[hover], y_range=y_range, x_range=x_range,\n",
    "                                 output_backend=\"webgl\")\n",
    "            figs[region].circle('x', 'y', source=source, color='colors', size=12, alpha=0.5)\n",
    "            figs[region].xaxis.axis_label = x_axis\n",
    "            figs[region].yaxis.axis_label = y_axis\n",
    "\n",
    "    plots = figs.values()\n",
    "    grid = gridplot(plots, ncols=3, plot_width=240, plot_height=240)\n",
    "\n",
    "    show(grid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-12T12:28:11.842548",
     "start_time": "2017-07-12T12:28:10.366126"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "figs = {}\n",
    "\n",
    "for region in percent_gen_df['region'].unique():\n",
    "    temp = percent_gen_df.loc[percent_gen_df['region'] == region]\n",
    "    pivoted = pd.pivot_table(temp, index='datetime', columns='fuel')\n",
    "    pivoted.reset_index(inplace=True, drop=False)\n",
    "\n",
    "    source = ColumnDataSource(data=dict(\n",
    "                                        x=pivoted['datetime'],\n",
    "                                        y=pivoted['percent generation'],\n",
    "                                        datetime=pivoted['datetime']\n",
    "                                        ))\n",
    "\n",
    "#     p = TimeSeries(pivoted, tools='hover')\n",
    "    hover = HoverTool(tooltips=[\n",
    "                            (\"fuel\", \"@fuel\"),\n",
    "                            ('% gen', '$y'),\n",
    "                            (\"datetime\", \"@datetime{%F}\")],\n",
    "                     formatters={\n",
    "                             'datetime': 'datetime', # use 'datetime' formatter\n",
    "                                })\n",
    "    hover.point_policy = \"snap_to_data\"\n",
    "    hover.mode = 'vline'\n",
    "    figs[region] = figure(title=region, tools=[hover],\n",
    "                         output_backend=\"webgl\")\n",
    "    figs[region].multi_line('x', 'y', source=source)\n",
    "    figs[region].xaxis.axis_label = 'datetime'\n",
    "    figs[region].yaxis.axis_label = 'percent generation'\n",
    "\n",
    "plots = figs.values()\n",
    "grid = gridplot(plots, ncols=3, plot_width=240, plot_height=240)\n",
    "\n",
    "show(grid)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Variability scatter plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Why is variability important? \n",
    "\n",
    "Temporal variability is a sign that decarbonization is happening, but unevenly across the year. If the variability is not correlated between regions, better transmission would allow for a more even spread of low-carbon electricity. As the percent of those technologies grows, each region could export excess low(er)-carbon power. But if they are negatively correlated, then each region is going to be generating higher-CO2 power at the same time. New technologies will be necessary to deal with this.\n",
    "\n",
    "**Ines**: Is there a point where variability becomes of return?\n",
    "- This is seasonal (monthly data). Grid reliability reports might be more at the hourly level.\n",
    "- Not even a variability issue. It's just a temporal correlation of Index."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Paper results subsections** (order could change - method will be in the same order, short paragraphs that explain each):\n",
    "- Index\n",
    "- Generagion by region\n",
    "- State-level\n",
    "- Correlation across regions\n",
    "- Variability"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot ideas (figures 3, 4, and 5):\n",
    "- Possibly emissions per capita or GDP (could be at state level) - ranking by state? Index, change in index, index per capita (See Sam's figure 2 - bar plots next to each other )\n",
    "- Coal on X, NG (or fuel) on Y, variability coded by color (or 3 variable triangle plot?)\n",
    "- Small multiples of variability vs fuel for a single region"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For results:\n",
    "- Think of 1 figure or table for each subsection\n",
    "- Write 3 sentence punchline about each"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Coal\n",
    "This set of plots - and the ones repeated below - show:\n",
    "1. The percent generation from coal in a given month against the percent change in normalized variability from a 2005 annual average\n",
    "2. The percent change in coal generation from 2005 annual average against the percent change in normalized variability from a 2005 annual average"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Analysis:\n",
    "The cleanest relationship that I see is that as coal goes down, variability goes up. The trend is pretty linear, and extends across a bunch of different NERC regions. A few interesting notes:\n",
    "- SPP sees a steep decline in coal use from ~80% to 20-30%, but the variability doesn't go up until percent coal drops below 40%\n",
    "- In contrast, RFC sees an immediate linear increase in variability from a similar starting point\n",
    "- FRCC doesn't see much of an increase in variability despite the drop in coal from ~40% to 10-20%\n",
    "- The other NERC regions (NPCC, ERCOT, WECC, SERC, RFC, and MRO) all have similar linear responses to the drop in coal use even though they have different starting points for percent of coal"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Percent Coal vs Change in norm variability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T11:52:51.001073",
     "start_time": "2017-07-18T11:52:50.553125"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"eff3c474-18d6-4072-95f8-536cae855e60\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<div style='background-color: #fdd'>\\n\"+\n",
       "       \"<p>\\n\"+\n",
       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "       \"</p>\\n\"+\n",
       "       \"<ul>\\n\"+\n",
       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "       \"</ul>\\n\"+\n",
       "       \"<code>\\n\"+\n",
       "       \"from bokeh.resources import INLINE\\n\"+\n",
       "       \"output_notebook(resources=INLINE)\\n\"+\n",
       "       \"</code>\\n\"+\n",
       "       \"</div>\"}};\n",
       "  \n",
       "    function display_loaded() {\n",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"eff3c474-18d6-4072-95f8-536cae855e60\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        var s = document.createElement('script');\n",
       "        s.src = url;\n",
       "        s.async = false;\n",
       "        s.onreadystatechange = s.onload = function() {\n",
       "          window._bokeh_is_loading--;\n",
       "          if (window._bokeh_is_loading === 0) {\n",
       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"eff3c474-18d6-4072-95f8-536cae855e60\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'eff3c474-18d6-4072-95f8-536cae855e60' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"b6001fd3-4154-4690-8159-9958ebd781c4\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"e0d2ea7a-279e-4d53-af63-d49d015906fd\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"ecd2d78d-2ea2-45ff-b82f-14bfc55496ac\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"e0d2ea7a-279e-4d53-af63-d49d015906fd\",\"type\":\"LinearAxis\"},{\"id\":\"f256f618-e60b-4b09-b3ff-f73fb011ccef\",\"type\":\"Grid\"},{\"id\":\"ecd2d78d-2ea2-45ff-b82f-14bfc55496ac\",\"type\":\"LinearAxis\"},{\"id\":\"fc240140-88d3-45b3-a2eb-4941924370c2\",\"type\":\"Grid\"},{\"id\":\"37a8392f-edfe-44a1-ad7c-8f9526c12ac9\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"a485b6c8-35b6-4416-8fc8-a0c953d15a3b\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"d417f328-5e05-4bd6-bf50-4bb1985259f8\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"7b4b6f54-6f53-4e9e-9c37-46ee27c15c69\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"02de9d41-0bed-44fa-824c-a971c9ccd02c\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"8b975f8d-ebbd-46d7-b617-a3f14cb6f903\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"d7958427-bd12-4ba5-828a-20ef3cb82cdb\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"07abdce6-fbcc-44c7-b240-c05e17f5aaae\",\"type\":\"LinearScale\"}},\"id\":\"47d2f915-0312-4edb-b5cb-76edba6ebca3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":null,\"text\":\"SERC 53.5% to 29.9% Coal\"},\"id\":\"6b83dfc6-daca-4659-8d81-9bd40922b931\",\"type\":\"Title\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"96593361-e1a7-4fa8-b889-4e348bb96b26\",\"type\":\"Circle\"},{\"attributes\":{\"below\":[{\"id\":\"1f5ea1cc-2968-4c77-9f4a-945411bd0741\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"5b954fc9-e707-4cb0-aaab-0e00bee4c6a7\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"1f5ea1cc-2968-4c77-9f4a-945411bd0741\",\"type\":\"LinearAxis\"},{\"id\":\"392229b6-1719-41a3-9c90-86dea3b5151b\",\"type\":\"Grid\"},{\"id\":\"5b954fc9-e707-4cb0-aaab-0e00bee4c6a7\",\"type\":\"LinearAxis\"},{\"id\":\"1e1dedbe-469e-4192-9ac4-988ae3b689f8\",\"type\":\"Grid\"},{\"id\":\"69eb212a-c4df-476e-ab1a-98d6284249ab\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"b002591a-67bb-46aa-8f8d-4a3f344c92af\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"051bec62-63ca-4db1-902c-71f0d5414835\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"4e84618a-cae6-4f69-ab29-cd734df66d34\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"89453196-16da-4819-92fa-996f879c2910\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"dd1f03bd-193a-40db-9abe-d5fc0558d8d3\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"442397f4-b38b-4715-8655-ebfb31b2cce6\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"56a0bb31-be7b-4fe2-b3b6-63d2a9d3434b\",\"type\":\"LinearScale\"}},\"id\":\"94d592b0-87fb-449e-890e-aca587cb4514\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"07abdce6-fbcc-44c7-b240-c05e17f5aaae\",\"type\":\"LinearScale\"},{\"attributes\":{\"below\":[{\"id\":\"4391b515-7822-469f-8823-5cd30d55a242\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"4b385c9d-f29b-4d47-9197-a2e9a7a0daee\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"4391b515-7822-469f-8823-5cd30d55a242\",\"type\":\"LinearAxis\"},{\"id\":\"983c1149-ff80-4fc3-9a3b-826d7b9e3288\",\"type\":\"Grid\"},{\"id\":\"4b385c9d-f29b-4d47-9197-a2e9a7a0daee\",\"type\":\"LinearAxis\"},{\"id\":\"f73b9f05-320d-48a3-95cd-3e910ec81b9b\",\"type\":\"Grid\"},{\"id\":\"267a890b-6061-4bc7-a084-0c1d630fda4d\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"8b06f8cb-d555-4b4e-b3d9-da4a0934c96b\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"dbe7f6f5-1736-4928-914c-0e8e329d0275\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"9f967401-bf93-4af5-9917-695163f3308a\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"3ffee72d-303f-4668-846a-edb5aa0608b7\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"09989693-f284-4128-8b90-70bb43c980bf\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"af73dbba-e2cf-4655-a9a8-adc86c05be0a\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"934c7025-0605-4707-82a7-7fd7cd121154\",\"type\":\"LinearScale\"}},\"id\":\"767ad64a-7ae7-477f-9d33-47d0d49200f3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"below\":[{\"id\":\"a6ac8316-4017-4cea-b2c9-798717fba843\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"5d5223b2-da2f-42ab-9db8-230c31a37e20\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"a6ac8316-4017-4cea-b2c9-798717fba843\",\"type\":\"LinearAxis\"},{\"id\":\"8f751d0b-7a98-43b4-baa1-1c0fa3681af1\",\"type\":\"Grid\"},{\"id\":\"5d5223b2-da2f-42ab-9db8-230c31a37e20\",\"type\":\"LinearAxis\"},{\"id\":\"8a049ea0-5846-4c37-a99b-6108bff4f47b\",\"type\":\"Grid\"},{\"id\":\"2f86a0c3-660b-4f89-b275-f93f0fdab0ca\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"e26414fd-e949-43d7-b76d-f311439236d7\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"3cfbce22-2612-4aa4-b6ca-5507b6e57b3c\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"b636fa50-e0b5-4bfb-8de1-5ae39e244747\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"6bba2915-001c-4e5a-b328-b19d24a63f3c\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"ae972399-6919-411b-91db-54475aaa4e1e\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"d83b75e8-fef3-40ac-9e39-5165592d78bd\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"5d1672b1-235c-44e2-ac48-3fd5498006e4\",\"type\":\"LinearScale\"}},\"id\":\"73347055-47d7-4d4a-b74e-417aed281c7e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"8713115a-c95e-452e-864e-f44c6bbec41a\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"73347055-47d7-4d4a-b74e-417aed281c7e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"fef49e2f-d98e-409d-a756-d06d860e52be\",\"type\":\"BasicTicker\"}},\"id\":\"5d5223b2-da2f-42ab-9db8-230c31a37e20\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"9f2a83a5-5f87-4c66-a14a-8c780b9751d4\",\"type\":\"BasicTicker\"},{\"attributes\":{\"below\":[{\"id\":\"fce5ea11-990d-4d7b-8897-94781e34f980\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"ef35d74a-9e63-4a20-bb9e-9d009aa0c8b0\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"fce5ea11-990d-4d7b-8897-94781e34f980\",\"type\":\"LinearAxis\"},{\"id\":\"6fa75531-1a5d-445c-9c05-df930e6c3af9\",\"type\":\"Grid\"},{\"id\":\"ef35d74a-9e63-4a20-bb9e-9d009aa0c8b0\",\"type\":\"LinearAxis\"},{\"id\":\"661c64c3-7725-4a72-8ca9-ff6781c2b54b\",\"type\":\"Grid\"},{\"id\":\"de22df1c-e43a-47ac-8985-fd160190c934\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"8ae9bf20-2682-4010-99a9-f961860eff75\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"87f68f4c-6ba9-40d2-9d1f-b951da1d1510\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"e114e1ba-80fe-4b35-ba6b-7b798a1ff4e4\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"3e1b51f5-f58c-49a4-a6d7-fb08d0b9e352\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"08265b5d-9005-4a43-b355-ed47ed041e0f\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"eed2f681-4a80-42bb-a7c6-3b0b02e85985\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"a5453bef-5b0a-482c-a152-1c0a75a743bc\",\"type\":\"LinearScale\"}},\"id\":\"c8e5ce87-da82-4bc7-8603-be5dd9f0e654\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"67a61c6d-4b1a-4e9f-98a5-cff6fcd76bbf\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"bdaab442-371e-4d5c-89f5-e1eb1a917290\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"f29e7663-198c-43f2-a5d8-f4cc3221b134\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"28557d32-f343-4e5f-b3f3-e12e9a40d647\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"d1af4463-bebd-4cf5-b91c-91657bc8822b\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis_label\":\"percent Coal\",\"formatter\":{\"id\":\"147ff7b9-44c1-4838-9d77-3321c706c01b\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"357f5173-258a-4cab-92ba-ed814d70a63c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2234c43f-d5e9-4efd-82e5-463c61ebfff9\",\"type\":\"BasicTicker\"}},\"id\":\"fcc9ac94-9132-4c53-b49c-bb471c4681b1\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"90224216-6c9c-461a-8fac-ac7c06bcec35\",\"type\":\"ToolEvents\"},{\"attributes\":{\"axis_label\":\"percent Coal\",\"formatter\":{\"id\":\"8e7339cc-5249-4356-8b8b-0e640217d8cc\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"47d2f915-0312-4edb-b5cb-76edba6ebca3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4cc88639-9df6-47b0-8036-598e722f2ca0\",\"type\":\"BasicTicker\"}},\"id\":\"e0d2ea7a-279e-4d53-af63-d49d015906fd\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"051bec62-63ca-4db1-902c-71f0d5414835\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"a689c846-f05e-43da-9b6b-ffabf6a638ba\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"233ba951-bd04-4ab9-b50d-5dd2d22e238d\",\"type\":\"HoverTool\"}]},\"id\":\"c91ba238-1850-44e1-bfdf-6207bd9d07cf\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"fef49e2f-d98e-409d-a756-d06d860e52be\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1477a018-69f2-4a5a-b510-1ba7bfb6a0ea\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis_label\":\"percent Coal\",\"formatter\":{\"id\":\"67a61c6d-4b1a-4e9f-98a5-cff6fcd76bbf\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c8e5ce87-da82-4bc7-8603-be5dd9f0e654\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"aa572d01-3057-4045-a674-162b4044c9f4\",\"type\":\"BasicTicker\"}},\"id\":\"fce5ea11-990d-4d7b-8897-94781e34f980\",\"type\":\"LinearAxis\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"2bd865d8-f4cb-40c3-8ef4-92003577ea92\",\"type\":\"HoverTool\"}]},\"id\":\"9f967401-bf93-4af5-9917-695163f3308a\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"7dc6eae9-5769-464d-9b5c-2474abe0917c\",\"type\":\"ToolEvents\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"20f7196a-6338-43ad-b306-7b63b1c0d2cc\",\"type\":\"HoverTool\"}]},\"id\":\"e114e1ba-80fe-4b35-ba6b-7b798a1ff4e4\",\"type\":\"Toolbar\"},{\"attributes\":{\"plot\":{\"id\":\"73347055-47d7-4d4a-b74e-417aed281c7e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f7270fcb-5d25-47c1-8f3b-dc1caded8104\",\"type\":\"BasicTicker\"}},\"id\":\"8f751d0b-7a98-43b4-baa1-1c0fa3681af1\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"924bbb0b-aaa1-46db-8c01-6d9afcaa0058\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"dc27244d-bc70-4836-85ae-7b0b5e0ea0c1\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"217691eb-60f4-4133-b95d-6d15c505158f\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"end\":0.85},\"id\":\"3e1b51f5-f58c-49a4-a6d7-fb08d0b9e352\",\"type\":\"Range1d\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"11325a9f-49af-4022-ae05-515c9c5c7659\",\"type\":\"HoverTool\"}]},\"id\":\"7b4b6f54-6f53-4e9e-9c37-46ee27c15c69\",\"type\":\"Toolbar\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"f29e7663-198c-43f2-a5d8-f4cc3221b134\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"1477a018-69f2-4a5a-b510-1ba7bfb6a0ea\",\"type\":\"BasicTicker\"}},\"id\":\"4b192a8e-59b7-4af0-bec7-ed5e0adabd9e\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"b5205d1b-a6b4-46a4-b69e-2b030645486c\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"147ff7b9-44c1-4838-9d77-3321c706c01b\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"085d127e-c595-48b2-b8ab-7ea4565537a2\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":{\"id\":\"f29e7663-198c-43f2-a5d8-f4cc3221b134\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a2d82dfe-789a-49c6-ad6f-64308b6ea081\",\"type\":\"BasicTicker\"}},\"id\":\"9215a6de-f6d8-4cbf-b0e9-6cedb9e2df87\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"dbe7f6f5-1736-4928-914c-0e8e329d0275\",\"type\":\"ToolEvents\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"6657bc85-ee63-4aed-b0f2-15b07397582e\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c8e5ce87-da82-4bc7-8603-be5dd9f0e654\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7761e56f-a15f-46c4-b565-e39557e4b49f\",\"type\":\"BasicTicker\"}},\"id\":\"ef35d74a-9e63-4a20-bb9e-9d009aa0c8b0\",\"type\":\"LinearAxis\"},{\"attributes\":{\"children\":[{\"id\":\"73347055-47d7-4d4a-b74e-417aed281c7e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"357f5173-258a-4cab-92ba-ed814d70a63c\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"a405d111-75d0-45a0-8a0f-8e2e74680c04\",\"type\":\"Row\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"d1adc42d-f354-469e-88f3-75dd262882ab\",\"type\":\"Circle\"},{\"attributes\":{\"data_source\":{\"id\":\"f0e5374c-a58c-4a15-b5ab-d0f9f1791fc4\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"6af89d01-3e75-4dce-a144-d22235fe3668\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"ebf94a53-ed63-4017-a556-23a6eaf0da17\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"2f86a0c3-660b-4f89-b275-f93f0fdab0ca\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"plot\":{\"id\":\"2fefcea1-6801-4f44-89b1-9c21f71e6a73\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d1af4463-bebd-4cf5-b91c-91657bc8822b\",\"type\":\"BasicTicker\"}},\"id\":\"4ed5b2fe-49e5-4225-a231-de2d73afc66e\",\"type\":\"Grid\"},{\"attributes\":{\"data_source\":{\"id\":\"bd74fab0-8517-4b9e-b9d8-b6c282b0c571\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"fd4359eb-31da-4893-96bd-cd44fecaf17d\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"e2f844a2-5f50-468e-8ad4-0c9421f8e56d\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"69eb212a-c4df-476e-ab1a-98d6284249ab\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"aBp4p5Qz5z+kLnVA90XnP0M1La4W4OY/wUifOk+05j91Krr6rfPmP/vgO8rWSeY/wCSuaq255j8LkRUV3EjmP8uwOTqSSuc/xLNiZ7e15j8XTSD6avbmP80lBqltt+Y/ToIfJInw5j8seiuNNLvmP7TbeUPwyuY/6lG7ftBH5j9R0jfk/qDmP3CzH7rVlOY/yqOiXNDv5T8UQ1LegevlPygnts5UneY/GpRtVDH/5j9zGjWUbBXnP9fyAd5+Fuc/usvQ06QI5z/o14HUHBfnP/5J3xCdJuc/5VvQi7hO5z++v3rZKz3nP1TtpPD3f+Y/ESf38XhN5j/bpTkhMxbmP84Uvs4ATOc/q6aCAp9G5z/bKKhYhWTnPzw4IoML2eY/tTPiu1Bb5j+NFU4jlmbmP6EBJqHEj+Y/oXjbKu3h5T9sCTjvwgXlP9FSigHYAuY/pS/zJP725T+WGQSCONPlP2CCCuBPe+Y/M2mAfYDg5j888zvLIE3nP2Np557Q2OY/b5cwMBy65j+zP7TJrBnnP43JiOhqK+c/Qg6eldih5j99vQOduzPmP8puuQ/64eU/5WO5e+mN5T9/tN3bAXHlPyJhivpfQeY/iMbWAujN5j/HLP25V/HmP6ry1aI7XuY/RfKngjXl5j8Ehwa8LVbnPx35BbE/yOc/5cF1Rml65z/22T1SD5vmP6+G3b9uLeY/OdOC6N125T9Y0Uq33MblP4xNHCR2g+Y/vwktdUJD5z/sp1PIPQHnP1cEP33f2+Y/SE0aBLCk5j+Dlxy51K3mP2Zq3KjAl+Y/7xLXdBpS5j85tSC1YurlPyQJvSh/HuY/jAgHClQd5j/TmATX0SLlPzwERToibeY/TlfcHaX35j+PIx31cfbmP7BzGwWoOeY/+BkKrB3y5j9On+bbsPPmP8c9BtrHsOY/tgaOa55U5j8Q7KKNADLmP6hmr//4Y+U/A+u3isSZ5T+zMoFgHrXlPxodPUlZneU/t7pUFqpM5j8udRWUxmzmP4kAm1WjaOY/RFtcSP8Q5j+5biXHsazlP+zrsPCsJOU/OPPw6WMj5j/RAgK7RbTkP38TaShY7+Q/KMbvi1LP5D8La5F/F33kP6yoX9q4ceM/3qAp3+r75D/2mBoByADlP8+NcbUD6eU/4r5uE03/5T/wl6UgFv/lP4qax4ZuuOU/BdgjyyjN5D/LLbWM2DfkP6cL4v2U3+Q/olhUwTI+5D+ADvzc11nkPyWPug3U+OM/Q3LPTVIv5D97A+dmcD/kP4+lq5hzWeQ/upvjBeUZ5T+zqAep3V7kP6TuLL028OI/NJ2VZH9V4z+wJCPsmIPjPzBhSLj2luQ/FPYnWevC4z/wRgSe+/njP0Bq7hkuy+M/CDnBnmRF4z/3mOFZzojiP3xqOjWFsuE/6F0jmqFR4T9Gc0z4+5XgPz7s6tgyIeA/AXoZdtly4D+xqgCAu+zgP3m7ItpxnuE/TBNxDNQu4j9+XeSJlm3iPx1UitDTB+E/Va4qP0uJ4T/Ds7WamibjP6oifETQdeI/tnyTZsJd4j+jfDAMbE7iP5QfJk8TTuI/8j6WFmmk4T9iqOEQ4hXiP7dudioEpOI/bUsBfK7u4T/GZ8iGRevhP4sIQAVCluI/V6xbLXbv4T/4HszltK/hP53aztQ2SeI/zsyQkAXG4j97M754XaHjP2EJjQ50+OI/mj6eL/2H4T+yavqTCwDhP2HrUqCO5+E/ClidTt2l4T+o+CfE7FHhPyN75ilo5+A/ceHhhuVw4D90kdHQIHrhP9f0NdXIneA/27vMRkEc4T8a7RGR78HhP5H2jhwhzN8/uoUgbSrA3T8HpsIMo7beP3yNArs+uN4/M6QYauMO3z/xq/vkETbfPw8sPbMDBd8/oL1QvYZ73D/7lzmzVrbbP55fs3K2Lto/HniLL0Ib3j8HtnfOE/DcP9GyZySrkdg/8XzRUxYP2z8d25tkOrrZP7BdzZCPwNw/r+sES9GT3T+M7qwXiu3cP2zy/4RNyNw/OygqkSN32z/HAK5yvSLaP3UQzrzTn94/ix40HRJD3j+tWv3Qae3bP+xrlVBDVts/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"bb0d57e7-d5f2-4934-8e6b-7420923c6639\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"18aee09e-1375-405c-b66b-e175b896911f\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"47d2f915-0312-4edb-b5cb-76edba6ebca3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9f2a83a5-5f87-4c66-a14a-8c780b9751d4\",\"type\":\"BasicTicker\"}},\"id\":\"ecd2d78d-2ea2-45ff-b82f-14bfc55496ac\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"2fefcea1-6801-4f44-89b1-9c21f71e6a73\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"233ba951-bd04-4ab9-b50d-5dd2d22e238d\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"767ad64a-7ae7-477f-9d33-47d0d49200f3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"2bd865d8-f4cb-40c3-8ef4-92003577ea92\",\"type\":\"HoverTool\"},{\"attributes\":{\"plot\":null,\"text\":\"WECC 33.9% to 22.5% Coal\"},\"id\":\"aeebda59-a5ba-42af-a12f-6424301c8dfc\",\"type\":\"Title\"},{\"attributes\":{\"data_source\":{\"id\":\"85c2659d-4bbe-46ca-a6fe-795f0d12724a\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"24c3dfdc-5460-4046-a2f7-faf6c5eb2340\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"aebd989b-7864-4a55-ba83-f94c1e904c83\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"f1928bfe-1992-4974-bed2-8a05adbca987\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"axis_label\":\"percent Coal\",\"formatter\":{\"id\":\"e043f45c-4ed3-4f9d-aec1-8a62efe8e0ad\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"2fefcea1-6801-4f44-89b1-9c21f71e6a73\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d1af4463-bebd-4cf5-b91c-91657bc8822b\",\"type\":\"BasicTicker\"}},\"id\":\"b4879c22-5c0e-4563-a3df-1cfdf4068546\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"ebf94a53-ed63-4017-a556-23a6eaf0da17\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"b5205d1b-a6b4-46a4-b69e-2b030645486c\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"2fefcea1-6801-4f44-89b1-9c21f71e6a73\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"217691eb-60f4-4133-b95d-6d15c505158f\",\"type\":\"BasicTicker\"}},\"id\":\"fb82e43e-ad8d-4aa2-ad47-b4ee6f86cde7\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"e043f45c-4ed3-4f9d-aec1-8a62efe8e0ad\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"28557d32-f343-4e5f-b3f3-e12e9a40d647\",\"type\":\"HoverTool\"}]},\"id\":\"e7fd0223-dba8-4f38-bb25-3273894f6d34\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"85c2659d-4bbe-46ca-a6fe-795f0d12724a\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"85d2d1b4-49e8-455f-8c5a-8e772b3d5149\",\"type\":\"HoverTool\"}]},\"id\":\"b636fa50-e0b5-4bfb-8de1-5ae39e244747\",\"type\":\"Toolbar\"},{\"attributes\":{\"data_source\":{\"id\":\"9286c3e4-4529-49e4-8fc3-b78ff2861394\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"c5817b19-fd6c-456e-afec-49b24b3fcbd8\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"d1adc42d-f354-469e-88f3-75dd262882ab\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"0c281800-7728-48b4-9bd8-fd56cc8afd3b\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"3cfbce22-2612-4aa4-b6ca-5507b6e57b3c\",\"type\":\"ToolEvents\"},{\"attributes\":{\"callback\":null,\"end\":0.85},\"id\":\"02de9d41-0bed-44fa-824c-a971c9ccd02c\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"af73dbba-e2cf-4655-a9a8-adc86c05be0a\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"442397f4-b38b-4715-8655-ebfb31b2cce6\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"02669166-acd2-4ffd-8bd2-685c268a8a63\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"87f68f4c-6ba9-40d2-9d1f-b951da1d1510\",\"type\":\"ToolEvents\"},{\"attributes\":{\"children\":[{\"id\":\"c8e5ce87-da82-4bc7-8603-be5dd9f0e654\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"767ad64a-7ae7-477f-9d33-47d0d49200f3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"2fefcea1-6801-4f44-89b1-9c21f71e6a73\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"a5a705d8-756d-4e7e-893d-d88f26314cd6\",\"type\":\"Row\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"20e920e9-d3b2-40bb-9357-2868a0667345\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"767ad64a-7ae7-477f-9d33-47d0d49200f3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"78e18149-906e-495a-a9da-dd5e535f4aef\",\"type\":\"BasicTicker\"}},\"id\":\"4b385c9d-f29b-4d47-9197-a2e9a7a0daee\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"934c7025-0605-4707-82a7-7fd7cd121154\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":null,\"text\":\"ERCOT 37.4% to 26.6% Coal\"},\"id\":\"b002591a-67bb-46aa-8f8d-4a3f344c92af\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"0a26b031-f017-43bf-882b-985566a7915a\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"c8e5ce87-da82-4bc7-8603-be5dd9f0e654\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7761e56f-a15f-46c4-b565-e39557e4b49f\",\"type\":\"BasicTicker\"}},\"id\":\"661c64c3-7725-4a72-8ca9-ff6781c2b54b\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"56a0bb31-be7b-4fe2-b3b6-63d2a9d3434b\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"3c0b145d-7261-4223-b597-e95b1149d52b\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"47d2f915-0312-4edb-b5cb-76edba6ebca3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"11325a9f-49af-4022-ae05-515c9c5c7659\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"d7958427-bd12-4ba5-828a-20ef3cb82cdb\",\"type\":\"Range1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"b6728bb9-408a-4eb4-8bd3-0b0097a38b8f\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":{\"id\":\"767ad64a-7ae7-477f-9d33-47d0d49200f3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"085d127e-c595-48b2-b8ab-7ea4565537a2\",\"type\":\"BasicTicker\"}},\"id\":\"983c1149-ff80-4fc3-9a3b-826d7b9e3288\",\"type\":\"Grid\"},{\"attributes\":{\"data_source\":{\"id\":\"0e270ac8-4342-4e17-a3ec-78b077fbc3d0\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"1d2c1c3c-79f0-4572-9d74-8047e83cf625\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"b6728bb9-408a-4eb4-8bd3-0b0097a38b8f\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"37a8392f-edfe-44a1-ad7c-8f9526c12ac9\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"94d592b0-87fb-449e-890e-aca587cb4514\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"5f1a6242-8546-4625-8e17-f4dae70ee26c\",\"type\":\"HoverTool\"},{\"attributes\":{\"plot\":null,\"text\":\"MRO 71.2% to 50.2% Coal\"},\"id\":\"e26414fd-e949-43d7-b76d-f311439236d7\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"end\":0.85},\"id\":\"3ffee72d-303f-4668-846a-edb5aa0608b7\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"end\":0.85},\"id\":\"6bba2915-001c-4e5a-b328-b19d24a63f3c\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"59abbd13-da33-40a9-8342-92a5bc260b19\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"805e1097-3f1c-4562-8769-248df9b236da\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"7761e56f-a15f-46c4-b565-e39557e4b49f\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"ae972399-6919-411b-91db-54475aaa4e1e\",\"type\":\"LinearScale\"},{\"attributes\":{\"children\":[{\"id\":\"db76f573-0f6b-412d-a159-cd070fe03f3a\",\"type\":\"Row\"},{\"id\":\"a5a705d8-756d-4e7e-893d-d88f26314cd6\",\"type\":\"Row\"},{\"id\":\"a405d111-75d0-45a0-8a0f-8e2e74680c04\",\"type\":\"Row\"}]},\"id\":\"224cfa84-c18f-4473-b4ef-cc4e30f4c02f\",\"type\":\"Column\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"abdf1e47-1f6b-4ab5-844f-187c2c6ba99a\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"axis_label\":\"percent Coal\",\"formatter\":{\"id\":\"a689c846-f05e-43da-9b6b-ffabf6a638ba\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"73347055-47d7-4d4a-b74e-417aed281c7e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f7270fcb-5d25-47c1-8f3b-dc1caded8104\",\"type\":\"BasicTicker\"}},\"id\":\"a6ac8316-4017-4cea-b2c9-798717fba843\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"end\":0.85},\"id\":\"7ac8713b-96a6-4f04-b1c8-cc9754237dac\",\"type\":\"Range1d\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"2fefcea1-6801-4f44-89b1-9c21f71e6a73\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"217691eb-60f4-4133-b95d-6d15c505158f\",\"type\":\"BasicTicker\"}},\"id\":\"40aef116-e8ef-4eff-9b3f-c0723731b1aa\",\"type\":\"Grid\"},{\"attributes\":{\"data_source\":{\"id\":\"abdf1e47-1f6b-4ab5-844f-187c2c6ba99a\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"bdaab442-371e-4d5c-89f5-e1eb1a917290\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"924bbb0b-aaa1-46db-8c01-6d9afcaa0058\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"15dd97a8-d80c-4c73-9caa-754d06b559c3\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"fd4359eb-31da-4893-96bd-cd44fecaf17d\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"6657bc85-ee63-4aed-b0f2-15b07397582e\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"6XgHF0hm2T+0mPAqXODaPx5AeXQndtc/cciVDWMX1j/svVpZ15XXP3lJICYg79U/oYJJwIAD1j+46ZqgCoTUPxRZsYTM7tQ/Lmj/dsMc1z98vjQRklvWP2ZhARNfy9c/CfUZ+wL21z94dK+97+/XP3B+jcBVtNI/iswX2L/M0T/FfdUzfM3TP6ZDKVSL49M/vzjxkfEU1T8lH743HJjUPw1jzwrs89I/YzMLSCu40z8Xb/PFHyfVP5apsbxj1dg/9EWE+s411z9tDnVb+wvYP3w6avIcY9M/MSXzWW3r0z9H/+aMRa/UP66HcX4639M/z7+sc5fW0z+FupPoRgHUP9Psd8GBGdM/96d+eOjq0T9AdJoiVjHTP2fIuHmqDNY/Nfuu/Pn71j+TJ9RHNnLUP74DVTYhKNM/6dn/Ukas0T8fyHpMq/rSPz5AFhjWENI/00ncmCBq0T8OFaJn5OzRP9km1YDNutA/XLjjEyJM0T+cmMSSQX3UP3FmwCOgBNc/+3QERoZr1T+8KrZWudbTP4/LasSGLNA/F/c7dmbC0D/IgKvORMnSPzwIh6Y1g9E/TWKwSsvBzz9L3TeCoxvPP5XTIWe42tA/TwFQ/G5r0j9BY5NIwVHVPxdunSeqH9Y/sxXSn1x91j8MeETsC+/UP5zfsl9EOtI/Tm4FEb/E0D+hAEmna0nSP6C0IDeEctE/FCUowfOA0T+60+VnqVrRP9xYOPlH3dE/6UvPGmLe0D83dT+/eDrTP7/XsEY4yNc/8PpFfyKY1z/L57/LAn3UPzsBQEinbNQ/cf4Dnc6s0D9oDOJ0+PLSP5tDmL5fmtI/vtAkUgO/0T9Q0Aqr5jTRPw9MY3wDNtI/qG+b7MrQ0T+ySiUjfh7VPzO1OJUF3tY/DEXZJf9n1j9GoUXmIQvWP7emOMN/ZNM/nULYB6Q60D/F8pVCArzSP2KIg4RnqdE/TPM+lpF70z8IGHzRH6DRPw0BKtVsc9E/nO3DBqXM0T9MrjdGnRzTP5nZmwvO+9M/CSFb5vgh0z9LkRwIOHXQP2qv2xn9csw/+WYYMzSjzD/NjGtRJL3OP/MxyhgH1M4/OghEt8Pjzj/43NwbX3PNP5TgZruRM8s/jal/t02hzj8fmgC5zXLQP8Q3zAbOL9U/ESbGxZ/i0j9VSJWtzEPTP/BfwweHQ8w/8jtqOTVdzT9ggQFUNTjQPwjbxK47ltA/qmtBgxwc0T+diPNs7rPQPyS65kyO5M4/MwPasryYzj/f7ikIi3vRP0rxpaEzrtI/WQAel9H30T+5wPqZfwzRP+NZHnN++8o/Cone/ei3zj9ZBcbKtYbPPwgYlmDQjs8/eYPPI9Unzz+jlOWqEirOPyNZyU2hWcs/sHGKRsoCyj91UzMGT/3KP5ILBXgjxMo/k8yvsX5cxz8SxsvwAbbIP9frvyyOisk/B32dMMvaxz82Pj9vqmPIP7qwVFp/IMo/u5bH57A+yz9QCjC39BzMP1e/n/lMPMo/9oVW9ip4yj8+QeUL+N7JP+FwLNJmcsg/YZZ0v0ZvyT8VpCm1GZTGPwvhL5z8Hss/OCjTnu+2yj8KmChja5fLP9H2HfO4Ecs/3Y0v5zQYzD8gOvOCYZzKP+kT+cp/Pso/cWuTsaiCyj++iMKEQYjKP+5UIwK/tsw//2t/vF2ozz+xEX1NIefRP1brrjLVPcs/DwMKiJqQyT8NAzWog2TKPxCcuKqhEM0/rjHjz+0kzT/k8r7LVLXLPzqA7j4F88o/0UxWI1DuyT9kV7fsCU/QPwhlhaixcc8/Zjo5lo0Axj93GLJMoIfJP0EvYK6sHsY/wGoPIB4Oxj93JY1tAEbIP9pk0lkOJsk/Z19GsFC0yD8fLD+G+W7HPxZ/Q2K3XMg/vYp8HNeqxj89o6NTvc/EP7TWloDHQcM/ZWtw7I0pwj9WLRUzEsbBP75OtKaac70//o/Jjc3mwD+dsxMXWrbCP4WnbhOBoMY/BhYjIEiJyD+X3exp5xXIP2YQn98kQsc/MDg+ofyqxz8qdBSoUhHGP1E5hu19rcg/AMe7th47yD9iM9z0IczGPx8iKfFXjMY/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"003f8453-b3b1-440c-9764-fff447d74eb8\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"f7270fcb-5d25-47c1-8f3b-dc1caded8104\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"end\":0.85},\"id\":\"40b8973d-abdc-45cf-a48e-d4cd6313c9a2\",\"type\":\"Range1d\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"73347055-47d7-4d4a-b74e-417aed281c7e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"fef49e2f-d98e-409d-a756-d06d860e52be\",\"type\":\"BasicTicker\"}},\"id\":\"8a049ea0-5846-4c37-a99b-6108bff4f47b\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"767ad64a-7ae7-477f-9d33-47d0d49200f3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"78e18149-906e-495a-a9da-dd5e535f4aef\",\"type\":\"BasicTicker\"}},\"id\":\"f73b9f05-320d-48a3-95cd-3e910ec81b9b\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":{\"id\":\"c8e5ce87-da82-4bc7-8603-be5dd9f0e654\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"aa572d01-3057-4045-a674-162b4044c9f4\",\"type\":\"BasicTicker\"}},\"id\":\"6fa75531-1a5d-445c-9c05-df930e6c3af9\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":{\"id\":\"94d592b0-87fb-449e-890e-aca587cb4514\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"843f39c2-c3a5-49b1-9f93-99ac8a2595ca\",\"type\":\"BasicTicker\"}},\"id\":\"392229b6-1719-41a3-9c90-86dea3b5151b\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"AACA5vR4bEIAAACL6YxsQgAAAM3vnmxCAACAceSybEIAAIBKNMZsQgAAAO8o2mxCAAAAyHjtbEIAAIBsbQFtQgAAABFiFW1CAAAA6rEobUIAAICOpjxtQgAAgGf2T21CAAAADOtjbUIAAICw33dtQgAAgPLliW1CAAAAl9qdbUIAAABwKrFtQgAAgBQfxW1CAACA7W7YbUIAAACSY+xtQgAAgDZYAG5CAACAD6gTbkIAAAC0nCduQgAAAI3sOm5CAACAMeFObkIAAADW1WJuQgAAABjcdG5CAACAvNCIbkIAAICVIJxuQgAAADoVsG5CAAAAE2XDbkIAAIC3WdduQgAAAFxO625CAAAANZ7+bkIAAIDZkhJvQgAAgLLiJW9CAAAAV9c5b0IAAID7y01vQgAAAAl3YG9CAACArWt0b0IAAICGu4dvQgAAACuwm29CAAAABACvb0IAAICo9MJvQgAAAE3p1m9CAAAAJjnqb0IAAIDKLf5vQgAAwNG+CHBCAAAAJLkScEIAAEB2sxxwQgAAQJe2JXBCAACA6bAvcEIAAADWWDlwQgAAQChTQ3BCAADAFPtMcEIAAABn9VZwQgAAQLnvYHBCAADApZdqcEIAAAD4kXRwQgAAgOQ5fnBCAADANjSIcEIAAACJLpJwQgAAAKoxm3BCAABA/CulcEIAAMDo065wQgAAADvOuHBCAACAJ3bCcEIAAMB5cMxwQgAAAMxq1nBCAACAuBLgcEIAAMAKDepwQgAAQPe083BCAACASa/9cEIAAMCbqQdxQgAAwLysEHFCAAAAD6cacUIAAID7TiRxQgAAwE1JLnFCAABAOvE3cUIAAICM60FxQgAAwN7lS3FCAABAy41VcUIAAIAdiF9xQgAAAAowaXFCAABAXCpzcUIAAICuJH1xQgAAQDV6hnFCAACAh3SQcUIAAAB0HJpxQgAAQMYWpHFCAADAsr6tcUIAAAAFubdxQgAAQFezwXFCAADAQ1vLcUIAAACWVdVxQgAAgIL93nFCAADA1PfocUIAAAAn8vJxQgAAAEj1+3FCAABAmu8FckIAAMCGlw9yQgAAANmRGXJCAACAxTkjckIAAMAXNC1yQgAAAGouN3JCAACAVtZAckIAAMCo0EpyQgAAQJV4VHJCAACA53JeckIAAMA5bWhyQgAAwFpwcXJCAAAArWp7ckIAAICZEoVyQgAAwOsMj3JCAABA2LSYckIAAIAqr6JyQgAAwHyprHJCAABAaVG2ckIAAIC7S8ByQgAAAKjzyXJCAABA+u3TckIAAIBM6N1yQgAAgG3r5nJCAADAv+XwckIAAECsjfpyQgAAgP6HBHNCAAAA6y8Oc0IAAEA9KhhzQgAAgI8kInNCAAAAfMwrc0IAAEDOxjVzQgAAwLpuP3NCAAAADWlJc0IAAEBfY1NzQgAAAOa4XHNCAABAOLNmc0IAAMAkW3BzQgAAAHdVenNCAACAY/2Dc0IAAMC1941zQgAAAAjyl3NCAACA9Jmhc0IAAMBGlKtzQgAAQDM8tXNCAACAhTa/c0IAAMDXMMlzQgAAwPgz0nNCAAAASy7cc0IAAIA31uVzQgAAwInQ73NCAABAdnj5c0IAAIDIcgN0QgAAwBptDXRCAABABxUXdEIAAIBZDyF0QgAAAEa3KnRCAABAmLE0dEIAAIDqqz50QgAAgAuvR3RCAADAXalRdEIAAEBKUVt0QgAAgJxLZXRCAAAAifNudEIAAEDb7Xh0QgAAgC3ognRCAAAAGpCMdEIAAEBsipZ0QgAAwFgyoHRCAAAAqyyqdEIAAED9JrR0QgAAQB4qvXRCAACAcCTHdEIAAABdzNB0QgAAQK/G2nRCAADAm27kdEIAAADuaO50QgAAQEBj+HRCAADALAsCdUIAAAB/BQx1QgAAgGutFXVCAADAvacfdUIAAAAQoil1QgAAwJb3MnVCAAAA6fE8dUIAAIDVmUZ1QgAAwCeUUHVCAABAFDxadUIAAIBmNmR1QgAAwLgwbnVCAABApdh3dUIAAID30oF1QgAAAOR6i3VCAABANnWVdUIAAICIb591QgAAgKlyqHVC\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"0e270ac8-4342-4e17-a3ec-78b077fbc3d0\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"aa572d01-3057-4045-a674-162b4044c9f4\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"a2d82dfe-789a-49c6-ad6f-64308b6ea081\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":{\"id\":\"47d2f915-0312-4edb-b5cb-76edba6ebca3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4cc88639-9df6-47b0-8036-598e722f2ca0\",\"type\":\"BasicTicker\"}},\"id\":\"f256f618-e60b-4b09-b3ff-f73fb011ccef\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"843f39c2-c3a5-49b1-9f93-99ac8a2595ca\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"b49dcf68-965e-4aeb-9a10-7abd25e3b9ac\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"percent Coal\",\"formatter\":{\"id\":\"dc27244d-bc70-4836-85ae-7b0b5e0ea0c1\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"767ad64a-7ae7-477f-9d33-47d0d49200f3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"085d127e-c595-48b2-b8ab-7ea4565537a2\",\"type\":\"BasicTicker\"}},\"id\":\"4391b515-7822-469f-8823-5cd30d55a242\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":null,\"text\":\"FRCC 28.4% to 16.6% Coal\"},\"id\":\"8ae9bf20-2682-4010-99a9-f961860eff75\",\"type\":\"Title\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"c27c693c-53cf-4dab-9080-29f45504e094\",\"type\":\"HoverTool\"}]},\"id\":\"405eb880-fac3-4ba9-aade-a742928043f3\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"end\":0.85},\"id\":\"89453196-16da-4819-92fa-996f879c2910\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"8713115a-c95e-452e-864e-f44c6bbec41a\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"03775873-0580-4ee1-8f22-f94dc9e79451\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"8b975f8d-ebbd-46d7-b617-a3f14cb6f903\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"bb0d57e7-d5f2-4934-8e6b-7420923c6639\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"d8593cf8-76ac-45c2-9339-33e961e8f64a\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"6d1049c5-259b-46c1-93a6-4aaa5dc4731a\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"267a890b-6061-4bc7-a084-0c1d630fda4d\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"children\":[{\"id\":\"c25c72ca-39fe-4a34-a735-e1eaac352766\",\"type\":\"ToolbarBox\"},{\"id\":\"224cfa84-c18f-4473-b4ef-cc4e30f4c02f\",\"type\":\"Column\"}]},\"id\":\"5fa5809f-25c6-4ab2-98d9-349db1703238\",\"type\":\"Column\"},{\"attributes\":{},\"id\":\"18aee09e-1375-405c-b66b-e175b896911f\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"eabbea8e-ce46-4ecd-aeba-0f360e41bb60\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"f0e5374c-a58c-4a15-b5ab-d0f9f1791fc4\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e2eec9af-8dd7-48dc-8efb-fd4901fc3050\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"4cc88639-9df6-47b0-8036-598e722f2ca0\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"aeece6a2-5c79-4718-bd26-b5f73243b53d\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"94d592b0-87fb-449e-890e-aca587cb4514\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"0a26b031-f017-43bf-882b-985566a7915a\",\"type\":\"BasicTicker\"}},\"id\":\"1e1dedbe-469e-4192-9ac4-988ae3b689f8\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"dd1f03bd-193a-40db-9abe-d5fc0558d8d3\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"8e7339cc-5249-4356-8b8b-0e640217d8cc\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e2f844a2-5f50-468e-8ad4-0c9421f8e56d\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"78e18149-906e-495a-a9da-dd5e535f4aef\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":null,\"text\":\"NPCC 14.5% to 1.8% Coal\"},\"id\":\"a485b6c8-35b6-4416-8fc8-a0c953d15a3b\",\"type\":\"Title\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"d8593cf8-76ac-45c2-9339-33e961e8f64a\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"24c3dfdc-5460-4046-a2f7-faf6c5eb2340\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"9286c3e4-4529-49e4-8fc3-b78ff2861394\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"47b8ab39-6d08-4238-a1a7-5a8e224fc8ee\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"b49dcf68-965e-4aeb-9a10-7abd25e3b9ac\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"94d592b0-87fb-449e-890e-aca587cb4514\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"0a26b031-f017-43bf-882b-985566a7915a\",\"type\":\"BasicTicker\"}},\"id\":\"5b954fc9-e707-4cb0-aaab-0e00bee4c6a7\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"73347055-47d7-4d4a-b74e-417aed281c7e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"85d2d1b4-49e8-455f-8c5a-8e772b3d5149\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"5d1672b1-235c-44e2-ac48-3fd5498006e4\",\"type\":\"LinearScale\"},{\"attributes\":{\"below\":[{\"id\":\"6dd76240-da94-42a7-98f3-c13c1f5d5674\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"5a3732e9-c683-48e7-b38c-2762f2d11eda\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"6dd76240-da94-42a7-98f3-c13c1f5d5674\",\"type\":\"LinearAxis\"},{\"id\":\"9215a6de-f6d8-4cbf-b0e9-6cedb9e2df87\",\"type\":\"Grid\"},{\"id\":\"5a3732e9-c683-48e7-b38c-2762f2d11eda\",\"type\":\"LinearAxis\"},{\"id\":\"4b192a8e-59b7-4af0-bec7-ed5e0adabd9e\",\"type\":\"Grid\"},{\"id\":\"0c281800-7728-48b4-9bd8-fd56cc8afd3b\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"aeebda59-a5ba-42af-a12f-6424301c8dfc\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"90224216-6c9c-461a-8fac-ac7c06bcec35\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"e7fd0223-dba8-4f38-bb25-3273894f6d34\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"24b89807-a329-4d88-89ab-3695770220f5\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"aeb7df7e-fd92-4390-b61e-bf07c4ae7ab5\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"be1b2e80-003b-4c05-b85f-1b3c5194f065\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"9e22a4f5-0852-4974-aaed-811e0e68ce4f\",\"type\":\"LinearScale\"}},\"id\":\"f29e7663-198c-43f2-a5d8-f4cc3221b134\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"5f1a6242-8546-4625-8e17-f4dae70ee26c\",\"type\":\"HoverTool\"}]},\"id\":\"4e84618a-cae6-4f69-ab29-cd734df66d34\",\"type\":\"Toolbar\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"4ce34b83-be03-42aa-966e-e34f7c8e65c1\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"f29e7663-198c-43f2-a5d8-f4cc3221b134\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"1477a018-69f2-4a5a-b510-1ba7bfb6a0ea\",\"type\":\"BasicTicker\"}},\"id\":\"5a3732e9-c683-48e7-b38c-2762f2d11eda\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"08265b5d-9005-4a43-b355-ed47ed041e0f\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"9b131c40-db22-457c-90a8-29e66b2f91ae\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"percent Coal\",\"formatter\":{\"id\":\"9b131c40-db22-457c-90a8-29e66b2f91ae\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"f29e7663-198c-43f2-a5d8-f4cc3221b134\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a2d82dfe-789a-49c6-ad6f-64308b6ea081\",\"type\":\"BasicTicker\"}},\"id\":\"6dd76240-da94-42a7-98f3-c13c1f5d5674\",\"type\":\"LinearAxis\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"357f5173-258a-4cab-92ba-ed814d70a63c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"aeece6a2-5c79-4718-bd26-b5f73243b53d\",\"type\":\"BasicTicker\"}},\"id\":\"32986c33-d810-4712-a4f9-57beec669927\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"4ce34b83-be03-42aa-966e-e34f7c8e65c1\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"children\":[{\"id\":\"47d2f915-0312-4edb-b5cb-76edba6ebca3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"94d592b0-87fb-449e-890e-aca587cb4514\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"f29e7663-198c-43f2-a5d8-f4cc3221b134\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"db76f573-0f6b-412d-a159-cd070fe03f3a\",\"type\":\"Row\"},{\"attributes\":{},\"id\":\"d417f328-5e05-4bd6-bf50-4bb1985259f8\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"09989693-f284-4128-8b90-70bb43c980bf\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"eed2f681-4a80-42bb-a7c6-3b0b02e85985\",\"type\":\"Range1d\"},{\"attributes\":{\"plot\":null,\"text\":\"SPP 61.8% to 33.6% Coal\"},\"id\":\"357a62f8-3e90-434f-ab2e-6314f8c9f0d2\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"20e920e9-d3b2-40bb-9357-2868a0667345\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"percent Coal\",\"formatter\":{\"id\":\"59abbd13-da33-40a9-8342-92a5bc260b19\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"94d592b0-87fb-449e-890e-aca587cb4514\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"843f39c2-c3a5-49b1-9f93-99ac8a2595ca\",\"type\":\"BasicTicker\"}},\"id\":\"1f5ea1cc-2968-4c77-9f4a-945411bd0741\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"a5453bef-5b0a-482c-a152-1c0a75a743bc\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"c8e5ce87-da82-4bc7-8603-be5dd9f0e654\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"20f7196a-6338-43ad-b306-7b63b1c0d2cc\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"d83b75e8-fef3-40ac-9e39-5165592d78bd\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"bd74fab0-8517-4b9e-b9d8-b6c282b0c571\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"sizing_mode\":\"scale_width\",\"toolbar_location\":\"above\",\"tools\":[{\"id\":\"11325a9f-49af-4022-ae05-515c9c5c7659\",\"type\":\"HoverTool\"},{\"id\":\"5f1a6242-8546-4625-8e17-f4dae70ee26c\",\"type\":\"HoverTool\"},{\"id\":\"28557d32-f343-4e5f-b3f3-e12e9a40d647\",\"type\":\"HoverTool\"},{\"id\":\"20f7196a-6338-43ad-b306-7b63b1c0d2cc\",\"type\":\"HoverTool\"},{\"id\":\"2bd865d8-f4cb-40c3-8ef4-92003577ea92\",\"type\":\"HoverTool\"},{\"id\":\"233ba951-bd04-4ab9-b50d-5dd2d22e238d\",\"type\":\"HoverTool\"},{\"id\":\"85d2d1b4-49e8-455f-8c5a-8e772b3d5149\",\"type\":\"HoverTool\"},{\"id\":\"c27c693c-53cf-4dab-9080-29f45504e094\",\"type\":\"HoverTool\"}]},\"id\":\"c25c72ca-39fe-4a34-a735-e1eaac352766\",\"type\":\"ToolbarBox\"},{\"attributes\":{\"callback\":null,\"end\":0.85},\"id\":\"24b89807-a329-4d88-89ab-3695770220f5\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"be1b2e80-003b-4c05-b85f-1b3c5194f065\",\"type\":\"Range1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"c5817b19-fd6c-456e-afec-49b24b3fcbd8\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"c71a9609-28f6-4736-b02f-c56b7187a8fe\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"2234c43f-d5e9-4efd-82e5-463c61ebfff9\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"71a10fd9-d615-407c-ab66-311923e6d9b6\",\"type\":\"Range1d\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"47d2f915-0312-4edb-b5cb-76edba6ebca3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9f2a83a5-5f87-4c66-a14a-8c780b9751d4\",\"type\":\"BasicTicker\"}},\"id\":\"fc240140-88d3-45b3-a2eb-4941924370c2\",\"type\":\"Grid\"},{\"attributes\":{\"below\":[{\"id\":\"fcc9ac94-9132-4c53-b49c-bb471c4681b1\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"836ecdeb-0e9d-4188-89fd-be90217ce06e\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"fcc9ac94-9132-4c53-b49c-bb471c4681b1\",\"type\":\"LinearAxis\"},{\"id\":\"28a1c06a-82df-43d6-987e-8a410c0795b4\",\"type\":\"Grid\"},{\"id\":\"836ecdeb-0e9d-4188-89fd-be90217ce06e\",\"type\":\"LinearAxis\"},{\"id\":\"32986c33-d810-4712-a4f9-57beec669927\",\"type\":\"Grid\"},{\"id\":\"f1928bfe-1992-4974-bed2-8a05adbca987\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"6b83dfc6-daca-4659-8d81-9bd40922b931\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"805e1097-3f1c-4562-8769-248df9b236da\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"405eb880-fac3-4ba9-aade-a742928043f3\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"40b8973d-abdc-45cf-a48e-d4cd6313c9a2\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"02669166-acd2-4ffd-8bd2-685c268a8a63\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"3c0b145d-7261-4223-b597-e95b1149d52b\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"47b8ab39-6d08-4238-a1a7-5a8e224fc8ee\",\"type\":\"LinearScale\"}},\"id\":\"357f5173-258a-4cab-92ba-ed814d70a63c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"aebd989b-7864-4a55-ba83-f94c1e904c83\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"357f5173-258a-4cab-92ba-ed814d70a63c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"c27c693c-53cf-4dab-9080-29f45504e094\",\"type\":\"HoverTool\"},{\"attributes\":{\"plot\":null,\"text\":\"RFC 69.9% to 44.1% Coal\"},\"id\":\"8b06f8cb-d555-4b4e-b3d9-da4a0934c96b\",\"type\":\"Title\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"c71a9609-28f6-4736-b02f-c56b7187a8fe\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"357f5173-258a-4cab-92ba-ed814d70a63c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"aeece6a2-5c79-4718-bd26-b5f73243b53d\",\"type\":\"BasicTicker\"}},\"id\":\"836ecdeb-0e9d-4188-89fd-be90217ce06e\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"003f8453-b3b1-440c-9764-fff447d74eb8\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"96593361-e1a7-4fa8-b889-4e348bb96b26\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"e2eec9af-8dd7-48dc-8efb-fd4901fc3050\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"de22df1c-e43a-47ac-8985-fd160190c934\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"below\":[{\"id\":\"b4879c22-5c0e-4563-a3df-1cfdf4068546\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"fb82e43e-ad8d-4aa2-ad47-b4ee6f86cde7\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"b4879c22-5c0e-4563-a3df-1cfdf4068546\",\"type\":\"LinearAxis\"},{\"id\":\"4ed5b2fe-49e5-4225-a231-de2d73afc66e\",\"type\":\"Grid\"},{\"id\":\"fb82e43e-ad8d-4aa2-ad47-b4ee6f86cde7\",\"type\":\"LinearAxis\"},{\"id\":\"40aef116-e8ef-4eff-9b3f-c0723731b1aa\",\"type\":\"Grid\"},{\"id\":\"15dd97a8-d80c-4c73-9caa-754d06b559c3\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"357a62f8-3e90-434f-ab2e-6314f8c9f0d2\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"7dc6eae9-5769-464d-9b5c-2474abe0917c\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"c91ba238-1850-44e1-bfdf-6207bd9d07cf\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"7ac8713b-96a6-4f04-b1c8-cc9754237dac\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"03775873-0580-4ee1-8f22-f94dc9e79451\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"71a10fd9-d615-407c-ab66-311923e6d9b6\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"eabbea8e-ce46-4ecd-aeba-0f360e41bb60\",\"type\":\"LinearScale\"}},\"id\":\"2fefcea1-6801-4f44-89b1-9c21f71e6a73\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"9e22a4f5-0852-4974-aaed-811e0e68ce4f\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"6d1049c5-259b-46c1-93a6-4aaa5dc4731a\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1d2c1c3c-79f0-4572-9d74-8047e83cf625\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"aeb7df7e-fd92-4390-b61e-bf07c4ae7ab5\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"6af89d01-3e75-4dce-a144-d22235fe3668\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":{\"id\":\"357f5173-258a-4cab-92ba-ed814d70a63c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2234c43f-d5e9-4efd-82e5-463c61ebfff9\",\"type\":\"BasicTicker\"}},\"id\":\"28a1c06a-82df-43d6-987e-8a410c0795b4\",\"type\":\"Grid\"}],\"root_ids\":[\"5fa5809f-25c6-4ab2-98d9-349db1703238\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"b6001fd3-4154-4690-8159-9958ebd781c4\",\"elementid\":\"eff3c474-18d6-4072-95f8-536cae855e60\",\"modelid\":\"5fa5809f-25c6-4ab2-98d9-349db1703238\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"eff3c474-18d6-4072-95f8-536cae855e60\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_bokeh_plot(gen_index, 'Coal', 'percent Coal', \n",
    "                  'change in norm variability',\n",
    "                  y_range=(-1, 7), x_range=(0, 0.85))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Change in Coal vs Change in norm variability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T11:53:04.176829",
     "start_time": "2017-07-18T11:53:03.674720"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"f799e57d-173a-4016-a302-04a9b51f99f6\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<div style='background-color: #fdd'>\\n\"+\n",
       "       \"<p>\\n\"+\n",
       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "       \"</p>\\n\"+\n",
       "       \"<ul>\\n\"+\n",
       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "       \"</ul>\\n\"+\n",
       "       \"<code>\\n\"+\n",
       "       \"from bokeh.resources import INLINE\\n\"+\n",
       "       \"output_notebook(resources=INLINE)\\n\"+\n",
       "       \"</code>\\n\"+\n",
       "       \"</div>\"}};\n",
       "  \n",
       "    function display_loaded() {\n",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"f799e57d-173a-4016-a302-04a9b51f99f6\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        var s = document.createElement('script');\n",
       "        s.src = url;\n",
       "        s.async = false;\n",
       "        s.onreadystatechange = s.onload = function() {\n",
       "          window._bokeh_is_loading--;\n",
       "          if (window._bokeh_is_loading === 0) {\n",
       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"f799e57d-173a-4016-a302-04a9b51f99f6\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'f799e57d-173a-4016-a302-04a9b51f99f6' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"fad5426d-b67d-4f15-a058-b423fca11686\":{\"roots\":{\"references\":[{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"da8770ca-2787-42ec-a296-5a3d5296c3b7\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"06a231f1-fae5-4e8f-bfb4-eebae94329a1\",\"type\":\"ToolEvents\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"579c6ae6-590e-4e79-9d69-c251fa284cf3\",\"type\":\"Circle\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"2c9862c2-6028-405a-b7ee-fac53ee28816\",\"type\":\"HoverTool\"}]},\"id\":\"a278d6b0-fc5b-4868-a422-64d5dc988b96\",\"type\":\"Toolbar\"},{\"attributes\":{\"plot\":{\"id\":\"d8155628-6c38-46c2-8131-f093d17acdf9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2db94fb2-c0e7-4b34-8a67-759e6dde9b94\",\"type\":\"BasicTicker\"}},\"id\":\"74e57dae-10ed-4b88-841a-7de17094ee6f\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"bb4d3544-2765-4414-ad5f-823940014619\",\"type\":\"ToolEvents\"},{\"attributes\":{\"below\":[{\"id\":\"416b65ea-be6b-4486-ac7b-70d7615c70d2\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"0855ee86-2657-405b-a474-db210723a904\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"416b65ea-be6b-4486-ac7b-70d7615c70d2\",\"type\":\"LinearAxis\"},{\"id\":\"ceb05157-4ad5-46fa-8f3c-ca4e3a934862\",\"type\":\"Grid\"},{\"id\":\"0855ee86-2657-405b-a474-db210723a904\",\"type\":\"LinearAxis\"},{\"id\":\"e37a78b0-e491-495d-b22a-4c037af53647\",\"type\":\"Grid\"},{\"id\":\"b54a8334-e3d6-4166-9e2d-8dc5df070cce\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"32038f98-9f02-457c-ad93-83516bc3e8a8\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"63f6be68-3d04-4d9c-a748-e088add09a2f\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"a278d6b0-fc5b-4868-a422-64d5dc988b96\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"6790ca3e-26a5-4048-836b-a3de5ff8f3f3\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"d6354051-bef3-4bb4-8942-b01fbe8395b7\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"3de6a652-5e8d-4b9b-a85c-f6e798809f03\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"d080efcd-d0eb-479c-852e-e20e3638df4a\",\"type\":\"LinearScale\"}},\"id\":\"72436f5d-b64a-477b-93a2-5f25bd07e88f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"2ab488e0-0dfa-4f6a-99a9-18f2749dcb5e\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"ba99f974-f58c-443c-b892-fd30aa4bb764\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"ef49d97d-6536-4901-9b50-c49712d3a899\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"b5551913-06fb-4d02-bab8-9db7abb0c9a2\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"85efe079-9021-4a53-83e2-e95079f70ab9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4209ad74-8893-4888-9506-ad8d9a1dd9b8\",\"type\":\"BasicTicker\"}},\"id\":\"18036726-e9af-4c46-ac13-7407dd765008\",\"type\":\"LinearAxis\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"f1b58126-6533-4f13-a7d5-d65469e1207e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"1323a0e5-fc9c-44dc-9180-6fe4c7088a1b\",\"type\":\"BasicTicker\"}},\"id\":\"0ac8555f-3a2d-4299-9713-f376e982a69e\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":null,\"text\":\"MRO 71.2% to 50.2% Coal\"},\"id\":\"ba1c0874-9004-49fd-88e5-e938093407a2\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"b386924c-b095-495a-9731-7e637e431287\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"fEMESBl92T/+eQvpKLHeP3uQMGAfqdI/V76oMpKqyz8cMYqGwxjTPwuQus3ejso/t5GhfHUeyz+QK/XaZ5DAPzha72KrgMM/AfX7lS1u0T/qIUybBovNP5Z24Ald1dM/cGTMZZhr1D8wMgfqMFbUP8RiBxZBZ54/TA6pp6aXlL/+ypBTDRS3Pzz2Ng3uSrg/AhL1oHSNxD/w8orI0R3BP14PjCDjM6Y/JKflJ6XntT9Aad5gkA3FP5aN7gScftc/LrQ/42rG0T/eLfZsALnUP/ewRlT0OLE/t3y29gW6uD8QDyO1BsHBP9rzjKgbDrg/epzlh2OUtz+NY7y98+25P37v0fk/V6o/k9AmdBnni7+d25HI6PasP4GIMJYGX8s/+71ZWan60D9H79xGxRLAP8mi6L1o86s/GLYpEk++m79wwAhxD/KmP1KU+ovdZXa/+XowN5Qnpb9b4gMXZweLv41X+MGhOrS/RCzOWf50qL/UIRW9l2DAP6VZEVciGdE/Bl7ZxIvvxj/5EtgYQZa3P6e8Cey5D7y/VKWmiI/Ps7/3gYZxqoGhP6iJ4uqcZKK/myRht8gcwL8Nx1N9MGbCv33WgZjReLK/cYThLVWzjD9eSOY19jnGPyJq02fm5Ms/+kiglSJ5zj9l62YqaoLDPxCMPveAMGw/Z4+TPH+us7+Xzd0CKXF7P05ZnZ4fO6S/QLaLcj2kor8g4BGqfdumv5/eZ7u585C//EnMmTJFsr/iqSi2ZPitP0lZxn5CytM/VB12MNgg0z8EBflg3V7AP0EvbEs0178/0cw7SN//tL8zJf5wERmmPwBpemfJr5g/X5eYiv+dl78v3NCPzwOrvy8DTAhMsmQ/tqRtSLmzk78zYAQ5vtDEPwY0fLgfkdA/V9kfB5bizT/5ktJOOFTLP0a8Y7t8TLE/mbVnWNBIu7/rQ8sB7AugP303a3gdYJy/AaI9R5uRsj9SSIYDQGuev1avCxaDIaS/wQrQao6dlL9zqPFl1q6qP38/v27VoLk/lzkb7dpFqz9sfSNNRg+4v7uQ/2dIxMu/uyUVtWgay7+1DkfcH7PDvyFvAPp9YsO/CuhJLwwrw7+exBAL/DzIv9BIbUjWFNC/xBBTljQVxL/SxwwbUDG4v/vYJHG7SsU/4jyQRVRMpD8KRXW+Tv+uP0/kgQWAa8y/rrgYgBKLyL90HhYRGGu7vzLaZ4UBPra/SWypyoe+rb+pkXNeeJu0vziHTG5CKMO/5HrUHWMzxL+Opf8gszyjv3YF1H2CDZ0/+c1dGoI3hr/UO55pmHavvzxd59Wed9C/pjr0oI7Fw79DTWl78+zAv02kbzhm0MC/l+PHOzo7wr+426GdSLnFvzjQqZ+To8+/IEIQ970t0r8NsodubHTQv/PgD7gi2dC/g90F+aPY1r83qKt8+nfUvymadM6MAdO/ETCyZib61b8dyA+RCAnVv/TCb7Vo+dG/Zhg3pT4B0L9ZujaaZfPMvwD+uCluyNG/pCjqmPde0b9VTZRs2GzSv/4wIw4T79S/Oz5685ox079NLSPRqDnYvylyOnkYOdC/AZ1DumTw0L8rTwu44MnOv1aIP1Z2UNC/oUihMyEEzb+SPYhpLB/RvwijIrGOxNG/F17xW3xM0b+1PR1EoELRv7Nyf5yO1cq/5WRKcV92wL9/FnSIC5GNv8DRs6/BAtC/1I/EMOX20r+5Y2HYloHRvweIz4nemMm/v3mMRVtRyb9nbajUfWDOvyqlAiaMhtC/TgKTntBR0r8clrhmWCm6v6rSGvz+NsG/4Jbb8JQ92b91ezjNtQbTv+zNOeyECNm/TTTOpa8l2b9hXxdSSj3VvxEht3SXstO/ExRjtvV61L+4syIMFrjWvzT49pNGFdW/2LJCt5kR2L8wyrIhjFbbv9hCSiWaE96/+mP4P6AA4L9W29x5QFjgv4AIXEiFB+O/91ITn+gc4b9qlO5fOAnfv16MUwbPI9i//47YtcTG1L+aqTwsBZLVv1PVlIsPB9e/uL3qF15O1r/cBusuCiDZv7k4VNf6htS/57y/sHVQ1b+w5YGz89bXvz0XPvtSR9i/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"6adbadbe-b4f5-445b-9c13-55c82fb3a5be\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data_source\":{\"id\":\"ef49d97d-6536-4901-9b50-c49712d3a899\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"60183a49-53b9-4b82-9956-73f8dee1258e\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"81cd5532-6731-470f-ab2f-2c18ac494608\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"250e58b2-c772-4b66-8d07-e24d26f01f2d\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"f533b57b-2d62-41a4-9f38-ea069dc785e0\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"59712bf5-e651-4a33-a5b9-782c5a2fe183\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"81f9aa84-e978-4e28-9dd4-027a445e6eec\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"21d2fea0-f553-4001-a945-186c6d006016\",\"type\":\"LinearScale\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"5ac95c84-8f03-4e92-ad02-1292757de089\",\"type\":\"HoverTool\"}]},\"id\":\"c456ef6f-38ab-43e1-b38a-f06d3ef5d006\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"bbcb4a43-3c7d-4f23-8417-8bd8939d6c40\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"plot\":{\"id\":\"85efe079-9021-4a53-83e2-e95079f70ab9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"c5cc196f-498d-4525-a9be-7c263ae2bb87\",\"type\":\"BasicTicker\"}},\"id\":\"94cb9a0b-1b17-48af-86a8-b4bd1b777657\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"b01f99bd-e21c-40c6-9483-00daa66431a8\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c4fe31d7-4d33-4de5-a80b-20de8748d7c0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"08272d29-b6df-4df8-84bd-e5279f2b7172\",\"type\":\"BasicTicker\"}},\"id\":\"c9899453-d4a8-4ca4-b9e2-2ceda2879874\",\"type\":\"LinearAxis\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"cfdbc04f-ed61-451f-a22d-26556fd99dd3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"29e3e5fa-bd8e-40a7-a164-3041e6166bd9\",\"type\":\"BasicTicker\"}},\"id\":\"b7a6a39d-dcb2-4a0e-b1df-eeb23acb69bb\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null},\"id\":\"4b12c9be-c9a9-42b9-888f-ab7f6ed7a2a0\",\"type\":\"DataRange1d\"},{\"attributes\":{\"data_source\":{\"id\":\"261e67df-cefb-43af-9fc3-2416ff96bc4f\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"ab4e9f98-fc81-4669-97eb-f67a992beb72\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"bcf8d296-814d-4e85-b4b3-4f8cd2f73d3f\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"59c75ffa-9ae2-42cf-bce3-63dd42d93fff\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"da9715b8-e703-4e16-84c8-3c16265c5aa2\",\"type\":\"Range1d\"},{\"attributes\":{\"plot\":{\"id\":\"f1b58126-6533-4f13-a7d5-d65469e1207e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6c9386c7-e060-425f-8731-d58e095fe9ea\",\"type\":\"BasicTicker\"}},\"id\":\"247ff32e-6cf1-4aa9-b2bc-325cf7b6eb68\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"81cd5532-6731-470f-ab2f-2c18ac494608\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"2cd0ce18-3ec8-4dc3-a814-08d90c141c12\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"6cfcaf0f-c664-4b7e-920b-9e5665864777\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"d8155628-6c38-46c2-8131-f093d17acdf9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"daeb5ab4-4ca1-4dae-baad-4d71638b62c8\",\"type\":\"BasicTicker\"}},\"id\":\"90392647-8ab5-4631-95d5-1caa7afdf06e\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"b01f99bd-e21c-40c6-9483-00daa66431a8\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data_source\":{\"id\":\"6adbadbe-b4f5-445b-9c13-55c82fb3a5be\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"a92996c8-632e-43e5-806e-41132d5bdc21\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1c541148-c72a-460c-8ce0-7d95b510f930\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"2be56cf2-84c5-46e4-87f9-c1d047835860\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"3de6a652-5e8d-4b9b-a85c-f6e798809f03\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"29e3e5fa-bd8e-40a7-a164-3041e6166bd9\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"d8155628-6c38-46c2-8131-f093d17acdf9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"a8e0041d-9cf8-4949-807b-04c3f6063426\",\"type\":\"HoverTool\"},{\"attributes\":{\"plot\":{\"id\":\"a7fba5f6-1318-4a81-b6a7-08e40629ffc9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"aaf8abef-a132-41d5-aed2-734501f2c7e0\",\"type\":\"BasicTicker\"}},\"id\":\"f130b6cc-c6b1-40c9-a427-5fb9796a7f57\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"85efe079-9021-4a53-83e2-e95079f70ab9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4209ad74-8893-4888-9506-ad8d9a1dd9b8\",\"type\":\"BasicTicker\"}},\"id\":\"1a44003e-4f9b-4925-9e2d-0906e9d52eea\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"63f6be68-3d04-4d9c-a748-e088add09a2f\",\"type\":\"ToolEvents\"},{\"attributes\":{\"data_source\":{\"id\":\"fbc5dd9b-7c0f-4a78-8594-7db6c3ece07c\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"f8799a25-b393-4bd0-9a2c-879d4d859813\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"aa876200-f4d2-4e7f-822d-fb67935dfeb3\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"b54a8334-e3d6-4166-9e2d-8dc5df070cce\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"049d44a0-c0b8-4ce4-a431-d7a29011f929\",\"type\":\"ToolEvents\"},{\"attributes\":{\"below\":[{\"id\":\"25ad435e-adc5-4333-9a03-7edeb96b9e15\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"59e689a5-85ee-4958-abea-7fbbc6bcb7fd\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"25ad435e-adc5-4333-9a03-7edeb96b9e15\",\"type\":\"LinearAxis\"},{\"id\":\"f130b6cc-c6b1-40c9-a427-5fb9796a7f57\",\"type\":\"Grid\"},{\"id\":\"59e689a5-85ee-4958-abea-7fbbc6bcb7fd\",\"type\":\"LinearAxis\"},{\"id\":\"887bf6ff-e7c3-4a8d-9285-85aa948da27b\",\"type\":\"Grid\"},{\"id\":\"881fc3d9-211f-4795-a2d7-2313fe2486ba\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"a7cc0d85-3204-4374-8625-2f073be9208b\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"ee9d20af-8f09-4952-bc00-56ffa92185ec\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"c456ef6f-38ab-43e1-b38a-f06d3ef5d006\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"927e58d3-cf85-437f-858f-21b9eb99d4a2\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"2ab488e0-0dfa-4f6a-99a9-18f2749dcb5e\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"da9715b8-e703-4e16-84c8-3c16265c5aa2\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"21d2fea0-f553-4001-a945-186c6d006016\",\"type\":\"LinearScale\"}},\"id\":\"a7fba5f6-1318-4a81-b6a7-08e40629ffc9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"61a5a20b-b0a9-454b-acb0-a7f75eace891\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"91462f59-172b-4bbf-b272-4fbc87c71323\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":{\"id\":\"cfdbc04f-ed61-451f-a22d-26556fd99dd3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"950130f1-7f89-4f55-ba18-acacc3c70a52\",\"type\":\"BasicTicker\"}},\"id\":\"bfd5343d-617f-414c-b37d-003759792b29\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"d8155628-6c38-46c2-8131-f093d17acdf9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"daeb5ab4-4ca1-4dae-baad-4d71638b62c8\",\"type\":\"BasicTicker\"}},\"id\":\"7422c48d-de23-4f50-b30b-c089fbcfd2d8\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"d919ff1d-2d05-4844-bc5b-51e811ff456f\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"4209ad74-8893-4888-9506-ad8d9a1dd9b8\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"9d4dd1f8-efd3-4cb4-8afa-4a5de2b6f553\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"414a4766-ac4a-4f68-9d0b-02dcf8cfae8a\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"dece65c0-5c4e-4152-8eef-bb8fd6104b7e\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"below\":[{\"id\":\"343dc060-38b2-4de7-9b6d-cd9bcc92364d\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"18036726-e9af-4c46-ac13-7407dd765008\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"343dc060-38b2-4de7-9b6d-cd9bcc92364d\",\"type\":\"LinearAxis\"},{\"id\":\"94cb9a0b-1b17-48af-86a8-b4bd1b777657\",\"type\":\"Grid\"},{\"id\":\"18036726-e9af-4c46-ac13-7407dd765008\",\"type\":\"LinearAxis\"},{\"id\":\"1a44003e-4f9b-4925-9e2d-0906e9d52eea\",\"type\":\"Grid\"},{\"id\":\"2be56cf2-84c5-46e4-87f9-c1d047835860\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"799d9796-6858-4403-b923-a56b649cfefe\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"f533b57b-2d62-41a4-9f38-ea069dc785e0\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"63fca9c2-b695-4dee-b6dd-e4c7079e2f23\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"4b47c068-b002-4a5e-bbe0-ec8d71e53b89\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"ba99f974-f58c-443c-b892-fd30aa4bb764\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"af0e9c94-a9b8-4b0a-875e-510817876795\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"b2efc7ab-010a-4882-8bee-24c88374b6bd\",\"type\":\"LinearScale\"}},\"id\":\"85efe079-9021-4a53-83e2-e95079f70ab9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"below\":[{\"id\":\"f657983f-32ab-47dc-992f-64ec2ae3c933\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"c31c3ed2-fa61-4148-a8eb-db4dde124f3d\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"f657983f-32ab-47dc-992f-64ec2ae3c933\",\"type\":\"LinearAxis\"},{\"id\":\"c238458a-ea49-4f29-9093-8dde863fa1fa\",\"type\":\"Grid\"},{\"id\":\"c31c3ed2-fa61-4148-a8eb-db4dde124f3d\",\"type\":\"LinearAxis\"},{\"id\":\"525d1ead-662a-4b49-a7f7-8d788dfa272d\",\"type\":\"Grid\"},{\"id\":\"d58d8a1f-0ae3-4d9c-80d0-5009ae9dfd69\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"f5846e37-2f6d-476e-9ac2-0fca8041328c\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"bb4d3544-2765-4414-ad5f-823940014619\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"a2a0d071-5481-4278-8fae-661365e1fb2a\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"4b12c9be-c9a9-42b9-888f-ab7f6ed7a2a0\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"74260eb0-582f-4e9f-a32c-0a525784d550\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"4c19efb3-907a-4e0a-baa0-c1c27dfbf7cf\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"b386924c-b095-495a-9731-7e637e431287\",\"type\":\"LinearScale\"}},\"id\":\"3dc83bfa-dbdd-47a7-b715-1583cfda4c2b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"7cfb75df-84e9-4ee9-8fec-3f38b235ff25\",\"type\":\"Range1d\"},{\"attributes\":{\"plot\":{\"id\":\"c4fe31d7-4d33-4de5-a80b-20de8748d7c0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5fb3f817-f329-4e79-89f1-f88812d991d4\",\"type\":\"BasicTicker\"}},\"id\":\"0e5df4e2-e793-4740-b506-2dc23402ead2\",\"type\":\"Grid\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"a8e0041d-9cf8-4949-807b-04c3f6063426\",\"type\":\"HoverTool\"}]},\"id\":\"84c99313-32dd-498c-ab42-0a64483ddaaf\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"9a70bb0d-7880-44c1-a912-81dac6ffb982\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis_label\":\"change in Coal\",\"formatter\":{\"id\":\"841261db-c64e-451e-9e96-4f1d216bb1cf\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"f1b58126-6533-4f13-a7d5-d65469e1207e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6c9386c7-e060-425f-8731-d58e095fe9ea\",\"type\":\"BasicTicker\"}},\"id\":\"dc8e1070-8318-4591-a127-8df79a165e92\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":null,\"text\":\"NPCC 14.5% to 1.8% Coal\"},\"id\":\"323cfc68-5269-4fcc-9cc7-ea7b78ad3b4f\",\"type\":\"Title\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"60183a49-53b9-4b82-9956-73f8dee1258e\",\"type\":\"Circle\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"c3bf1164-9550-4935-9dc1-4cb2971c6e92\",\"type\":\"HoverTool\"}]},\"id\":\"41a0d333-ffa7-4c12-95c0-5650e798d268\",\"type\":\"Toolbar\"},{\"attributes\":{\"plot\":{\"id\":\"72436f5d-b64a-477b-93a2-5f25bd07e88f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2da27017-1a71-479b-9b2a-6ffe3ccf5256\",\"type\":\"BasicTicker\"}},\"id\":\"ceb05157-4ad5-46fa-8f3c-ca4e3a934862\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"3dc83bfa-dbdd-47a7-b715-1583cfda4c2b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"e6c61cb9-1142-4a00-9637-813fcd1e8499\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"08272d29-b6df-4df8-84bd-e5279f2b7172\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"af0e9c94-a9b8-4b0a-875e-510817876795\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"1912a859-1483-4a1b-85a6-92d7fa14d157\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"b748846d-e24b-46ed-b95e-87b7589a24d8\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"2db94fb2-c0e7-4b34-8a67-759e6dde9b94\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"c5cc196f-498d-4525-a9be-7c263ae2bb87\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis_label\":\"change in Coal\",\"formatter\":{\"id\":\"e82230b4-44e0-4fdb-b664-38bbbd15bd70\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"72436f5d-b64a-477b-93a2-5f25bd07e88f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2da27017-1a71-479b-9b2a-6ffe3ccf5256\",\"type\":\"BasicTicker\"}},\"id\":\"416b65ea-be6b-4486-ac7b-70d7615c70d2\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"74260eb0-582f-4e9f-a32c-0a525784d550\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"6cfcaf0f-c664-4b7e-920b-9e5665864777\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"5fb3f817-f329-4e79-89f1-f88812d991d4\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"aa876200-f4d2-4e7f-822d-fb67935dfeb3\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"daeb5ab4-4ca1-4dae-baad-4d71638b62c8\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"e413fbe9-95d4-423e-9187-545ff8801ef5\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"414a4766-ac4a-4f68-9d0b-02dcf8cfae8a\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"5eac2ea9-f5e4-488d-9b09-b7674590d827\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"b2066723-57cc-4142-a699-653302cd2642\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"d56a9e92-da9f-4ae7-9bd0-79c954650c4b\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1323a0e5-fc9c-44dc-9180-6fe4c7088a1b\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"3889783f-3cf3-4ffc-a76a-0665fce88795\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in Coal\",\"formatter\":{\"id\":\"e6378aaf-aa47-4c7f-809d-efa576a1521e\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"a7fba5f6-1318-4a81-b6a7-08e40629ffc9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"aaf8abef-a132-41d5-aed2-734501f2c7e0\",\"type\":\"BasicTicker\"}},\"id\":\"25ad435e-adc5-4333-9a03-7edeb96b9e15\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"f8799a25-b393-4bd0-9a2c-879d4d859813\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"2da27017-1a71-479b-9b2a-6ffe3ccf5256\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1c541148-c72a-460c-8ce0-7d95b510f930\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"841902ed-bef2-4d63-8e33-5599b3ab58b4\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"ea4342cc-d08c-498f-ac1d-3376fd85d893\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null},\"id\":\"05c76a65-aaf2-43d8-a7be-aac7b9f0b2ad\",\"type\":\"DataRange1d\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"f312bdf2-6c89-4be1-88b6-900f86da08bd\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"a7fba5f6-1318-4a81-b6a7-08e40629ffc9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"c4e2b7d9-dedd-4bc1-8e61-56af589f8d98\",\"type\":\"BasicTicker\"}},\"id\":\"59e689a5-85ee-4958-abea-7fbbc6bcb7fd\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"261e67df-cefb-43af-9fc3-2416ff96bc4f\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"axis_label\":\"change in Coal\",\"formatter\":{\"id\":\"81f9aa84-e978-4e28-9dd4-027a445e6eec\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"3dc83bfa-dbdd-47a7-b715-1583cfda4c2b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"841902ed-bef2-4d63-8e33-5599b3ab58b4\",\"type\":\"BasicTicker\"}},\"id\":\"f657983f-32ab-47dc-992f-64ec2ae3c933\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"5f5907c7-12db-427c-8dee-9b0084a04415\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"72436f5d-b64a-477b-93a2-5f25bd07e88f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7cf074b6-c168-4550-bf0c-42c34a83a42a\",\"type\":\"BasicTicker\"}},\"id\":\"0855ee86-2657-405b-a474-db210723a904\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"d6354051-bef3-4bb4-8942-b01fbe8395b7\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":{\"id\":\"3dc83bfa-dbdd-47a7-b715-1583cfda4c2b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"841902ed-bef2-4d63-8e33-5599b3ab58b4\",\"type\":\"BasicTicker\"}},\"id\":\"c238458a-ea49-4f29-9093-8dde863fa1fa\",\"type\":\"Grid\"},{\"attributes\":{\"below\":[{\"id\":\"dc8e1070-8318-4591-a127-8df79a165e92\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"37e15717-3809-4f32-8f17-f68c3287df96\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"dc8e1070-8318-4591-a127-8df79a165e92\",\"type\":\"LinearAxis\"},{\"id\":\"247ff32e-6cf1-4aa9-b2bc-325cf7b6eb68\",\"type\":\"Grid\"},{\"id\":\"37e15717-3809-4f32-8f17-f68c3287df96\",\"type\":\"LinearAxis\"},{\"id\":\"0ac8555f-3a2d-4299-9713-f376e982a69e\",\"type\":\"Grid\"},{\"id\":\"250e58b2-c772-4b66-8d07-e24d26f01f2d\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"323cfc68-5269-4fcc-9cc7-ea7b78ad3b4f\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"049d44a0-c0b8-4ce4-a431-d7a29011f929\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"7e60a6ca-d146-410b-a1d6-d71969102352\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"6e3d82ca-9401-4147-af0b-91395c13dce5\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"1db7188b-a4cc-403b-beb9-9abc82742be4\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"e0513a22-0109-4d3e-a719-c994c52e1bc7\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"41d84628-8268-45c5-ba92-3181ae28ee77\",\"type\":\"LinearScale\"}},\"id\":\"f1b58126-6533-4f13-a7d5-d65469e1207e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null},\"id\":\"6790ca3e-26a5-4048-836b-a3de5ff8f3f3\",\"type\":\"DataRange1d\"},{\"attributes\":{\"children\":[{\"id\":\"cfdbc04f-ed61-451f-a22d-26556fd99dd3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"a7fba5f6-1318-4a81-b6a7-08e40629ffc9\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"b7e3d706-c920-479b-b4ac-d48b5948d2f3\",\"type\":\"Row\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"384d9767-a451-44fe-9fd3-1e1e4200443d\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"41d84628-8268-45c5-ba92-3181ae28ee77\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in Coal\",\"formatter\":{\"id\":\"ea4342cc-d08c-498f-ac1d-3376fd85d893\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"d8155628-6c38-46c2-8131-f093d17acdf9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2db94fb2-c0e7-4b34-8a67-759e6dde9b94\",\"type\":\"BasicTicker\"}},\"id\":\"ada54ac8-71ec-4509-9fb3-4a3eaa14f65a\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"384d9767-a451-44fe-9fd3-1e1e4200443d\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"579c6ae6-590e-4e79-9d69-c251fa284cf3\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"da8770ca-2787-42ec-a296-5a3d5296c3b7\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"d58d8a1f-0ae3-4d9c-80d0-5009ae9dfd69\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"72436f5d-b64a-477b-93a2-5f25bd07e88f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"2c9862c2-6028-405a-b7ee-fac53ee28816\",\"type\":\"HoverTool\"},{\"attributes\":{\"axis_label\":\"change in Coal\",\"formatter\":{\"id\":\"75fb9d17-3bd9-4d38-9009-a3bd52601f83\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"cfdbc04f-ed61-451f-a22d-26556fd99dd3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"950130f1-7f89-4f55-ba18-acacc3c70a52\",\"type\":\"BasicTicker\"}},\"id\":\"dce65bb8-610f-4597-9d91-4f3dee3eafed\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"a745c7f2-a153-43f9-a3d3-2fc5b6e61aaf\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"a7fba5f6-1318-4a81-b6a7-08e40629ffc9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"5ac95c84-8f03-4e92-ad02-1292757de089\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"5f309052-5fff-4ab4-9367-cb0f52e2d758\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":null,\"text\":\"SERC 53.5% to 29.9% Coal\"},\"id\":\"a7cc0d85-3204-4374-8625-2f073be9208b\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"7cf074b6-c168-4550-bf0c-42c34a83a42a\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null},\"id\":\"6e3d82ca-9401-4147-af0b-91395c13dce5\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"aaf8abef-a132-41d5-aed2-734501f2c7e0\",\"type\":\"BasicTicker\"},{\"attributes\":{\"sizing_mode\":\"scale_width\",\"toolbar_location\":\"above\",\"tools\":[{\"id\":\"5840eace-af9f-42ed-a621-1014e1cc35bf\",\"type\":\"HoverTool\"},{\"id\":\"2c9862c2-6028-405a-b7ee-fac53ee28816\",\"type\":\"HoverTool\"},{\"id\":\"088d7fad-b8de-47e6-9105-e0c0195caa9b\",\"type\":\"HoverTool\"},{\"id\":\"00fa26ca-09ff-4379-8316-d12d8905d901\",\"type\":\"HoverTool\"},{\"id\":\"e6c61cb9-1142-4a00-9637-813fcd1e8499\",\"type\":\"HoverTool\"},{\"id\":\"a8e0041d-9cf8-4949-807b-04c3f6063426\",\"type\":\"HoverTool\"},{\"id\":\"c3bf1164-9550-4935-9dc1-4cb2971c6e92\",\"type\":\"HoverTool\"},{\"id\":\"5ac95c84-8f03-4e92-ad02-1292757de089\",\"type\":\"HoverTool\"}]},\"id\":\"7e672660-d08e-4147-9122-bf51509ad614\",\"type\":\"ToolbarBox\"},{\"attributes\":{},\"id\":\"75fb9d17-3bd9-4d38-9009-a3bd52601f83\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"below\":[{\"id\":\"ada54ac8-71ec-4509-9fb3-4a3eaa14f65a\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"90392647-8ab5-4631-95d5-1caa7afdf06e\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"ada54ac8-71ec-4509-9fb3-4a3eaa14f65a\",\"type\":\"LinearAxis\"},{\"id\":\"74e57dae-10ed-4b88-841a-7de17094ee6f\",\"type\":\"Grid\"},{\"id\":\"90392647-8ab5-4631-95d5-1caa7afdf06e\",\"type\":\"LinearAxis\"},{\"id\":\"7422c48d-de23-4f50-b30b-c089fbcfd2d8\",\"type\":\"Grid\"},{\"id\":\"59c75ffa-9ae2-42cf-bce3-63dd42d93fff\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"4502026d-58eb-492d-a925-a9ec0a96d1cb\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"d919ff1d-2d05-4844-bc5b-51e811ff456f\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"84c99313-32dd-498c-ab42-0a64483ddaaf\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"05c76a65-aaf2-43d8-a7be-aac7b9f0b2ad\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"3690740d-d7ae-4a98-8980-b5176da6063f\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"b748846d-e24b-46ed-b95e-87b7589a24d8\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"3889783f-3cf3-4ffc-a76a-0665fce88795\",\"type\":\"LinearScale\"}},\"id\":\"d8155628-6c38-46c2-8131-f093d17acdf9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"5f5907c7-12db-427c-8dee-9b0084a04415\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"00fa26ca-09ff-4379-8316-d12d8905d901\",\"type\":\"HoverTool\"}]},\"id\":\"63fca9c2-b695-4dee-b6dd-e4c7079e2f23\",\"type\":\"Toolbar\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"3dc83bfa-dbdd-47a7-b715-1583cfda4c2b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9a70bb0d-7880-44c1-a912-81dac6ffb982\",\"type\":\"BasicTicker\"}},\"id\":\"525d1ead-662a-4b49-a7f7-8d788dfa272d\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"f1b58126-6533-4f13-a7d5-d65469e1207e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"5840eace-af9f-42ed-a621-1014e1cc35bf\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"28bb27b7-318e-4666-a97b-86d014e67c12\",\"type\":\"ToolEvents\"},{\"attributes\":{\"callback\":null},\"id\":\"927e58d3-cf85-437f-858f-21b9eb99d4a2\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"fbc5dd9b-7c0f-4a78-8594-7db6c3ece07c\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"b2efc7ab-010a-4882-8bee-24c88374b6bd\",\"type\":\"LinearScale\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"e6c61cb9-1142-4a00-9637-813fcd1e8499\",\"type\":\"HoverTool\"}]},\"id\":\"a2a0d071-5481-4278-8fae-661365e1fb2a\",\"type\":\"Toolbar\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"2cd0ce18-3ec8-4dc3-a814-08d90c141c12\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"3dc83bfa-dbdd-47a7-b715-1583cfda4c2b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9a70bb0d-7880-44c1-a912-81dac6ffb982\",\"type\":\"BasicTicker\"}},\"id\":\"c31c3ed2-fa61-4148-a8eb-db4dde124f3d\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"f312bdf2-6c89-4be1-88b6-900f86da08bd\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"b5551913-06fb-4d02-bab8-9db7abb0c9a2\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"children\":[{\"id\":\"f1b58126-6533-4f13-a7d5-d65469e1207e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"72436f5d-b64a-477b-93a2-5f25bd07e88f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"c4fe31d7-4d33-4de5-a80b-20de8748d7c0\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"907d5fa5-693a-4f56-8da5-c5483730f6f8\",\"type\":\"Row\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"088d7fad-b8de-47e6-9105-e0c0195caa9b\",\"type\":\"HoverTool\"}]},\"id\":\"f85bcfa5-d56a-43d9-a066-bf7384431076\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"6c9386c7-e060-425f-8731-d58e095fe9ea\",\"type\":\"BasicTicker\"},{\"attributes\":{\"below\":[{\"id\":\"7e4cfd2d-e77a-496c-b39d-7d8733631fd6\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"c9899453-d4a8-4ca4-b9e2-2ceda2879874\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"7e4cfd2d-e77a-496c-b39d-7d8733631fd6\",\"type\":\"LinearAxis\"},{\"id\":\"0e5df4e2-e793-4740-b506-2dc23402ead2\",\"type\":\"Grid\"},{\"id\":\"c9899453-d4a8-4ca4-b9e2-2ceda2879874\",\"type\":\"LinearAxis\"},{\"id\":\"f71944c1-120a-41e4-85b7-68d1d0945b2d\",\"type\":\"Grid\"},{\"id\":\"f5da5c69-e551-441b-b831-1088babe0497\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"34981b65-1ddb-4d53-b462-8e36abb5695c\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"28bb27b7-318e-4666-a97b-86d014e67c12\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"f85bcfa5-d56a-43d9-a066-bf7384431076\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"478e8b05-c658-43ab-bb35-7e2a2eb44fc4\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"d56a9e92-da9f-4ae7-9bd0-79c954650c4b\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"d8393143-e53a-4d59-9ad5-c1e793c5ecbd\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"6de77dec-0d78-47cf-a2ec-e58409811373\",\"type\":\"LinearScale\"}},\"id\":\"c4fe31d7-4d33-4de5-a80b-20de8748d7c0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"f88073cb-e025-49cd-b43a-96e767c678af\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"c4fe31d7-4d33-4de5-a80b-20de8748d7c0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"088d7fad-b8de-47e6-9105-e0c0195caa9b\",\"type\":\"HoverTool\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"72436f5d-b64a-477b-93a2-5f25bd07e88f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7cf074b6-c168-4550-bf0c-42c34a83a42a\",\"type\":\"BasicTicker\"}},\"id\":\"e37a78b0-e491-495d-b22a-4c037af53647\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"4c19efb3-907a-4e0a-baa0-c1c27dfbf7cf\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"3690740d-d7ae-4a98-8980-b5176da6063f\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"6645dfe4-85dc-4364-a58b-7a18ddadde72\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"1db7188b-a4cc-403b-beb9-9abc82742be4\",\"type\":\"LinearScale\"},{\"attributes\":{\"below\":[{\"id\":\"dce65bb8-610f-4597-9d91-4f3dee3eafed\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"738295ac-6e40-4c78-94e3-cb26fcf04f3d\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"dce65bb8-610f-4597-9d91-4f3dee3eafed\",\"type\":\"LinearAxis\"},{\"id\":\"bfd5343d-617f-414c-b37d-003759792b29\",\"type\":\"Grid\"},{\"id\":\"738295ac-6e40-4c78-94e3-cb26fcf04f3d\",\"type\":\"LinearAxis\"},{\"id\":\"b7a6a39d-dcb2-4a0e-b1df-eeb23acb69bb\",\"type\":\"Grid\"},{\"id\":\"b2066723-57cc-4142-a699-653302cd2642\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"ba1c0874-9004-49fd-88e5-e938093407a2\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"06a231f1-fae5-4e8f-bfb4-eebae94329a1\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"41a0d333-ffa7-4c12-95c0-5650e798d268\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"8667bcf1-c2fc-4bac-a4d3-5e7cb4c31435\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"5f309052-5fff-4ab4-9367-cb0f52e2d758\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"7cfb75df-84e9-4ee9-8fec-3f38b235ff25\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"91462f59-172b-4bbf-b272-4fbc87c71323\",\"type\":\"LinearScale\"}},\"id\":\"cfdbc04f-ed61-451f-a22d-26556fd99dd3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null},\"id\":\"8667bcf1-c2fc-4bac-a4d3-5e7cb4c31435\",\"type\":\"DataRange1d\"},{\"attributes\":{\"data_source\":{\"id\":\"1912a859-1483-4a1b-85a6-92d7fa14d157\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"6645dfe4-85dc-4364-a58b-7a18ddadde72\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"a745c7f2-a153-43f9-a3d3-2fc5b6e61aaf\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"881fc3d9-211f-4795-a2d7-2313fe2486ba\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null},\"id\":\"4b47c068-b002-4a5e-bbe0-ec8d71e53b89\",\"type\":\"DataRange1d\"},{\"attributes\":{\"data_source\":{\"id\":\"bbcb4a43-3c7d-4f23-8417-8bd8939d6c40\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"f88073cb-e025-49cd-b43a-96e767c678af\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"61a5a20b-b0a9-454b-acb0-a7f75eace891\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"f5da5c69-e551-441b-b831-1088babe0497\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"ab4e9f98-fc81-4669-97eb-f67a992beb72\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"e82230b4-44e0-4fdb-b664-38bbbd15bd70\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"5840eace-af9f-42ed-a621-1014e1cc35bf\",\"type\":\"HoverTool\"}]},\"id\":\"7e60a6ca-d146-410b-a1d6-d71969102352\",\"type\":\"Toolbar\"},{\"attributes\":{\"children\":[{\"id\":\"85efe079-9021-4a53-83e2-e95079f70ab9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"3dc83bfa-dbdd-47a7-b715-1583cfda4c2b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"d8155628-6c38-46c2-8131-f093d17acdf9\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"42aa2e92-19ba-4797-ae69-e5fe52ac43fc\",\"type\":\"Row\"},{\"attributes\":{\"plot\":null,\"text\":\"RFC 69.9% to 44.1% Coal\"},\"id\":\"f5846e37-2f6d-476e-9ac2-0fca8041328c\",\"type\":\"Title\"},{\"attributes\":{\"plot\":null,\"text\":\"ERCOT 37.4% to 26.6% Coal\"},\"id\":\"32038f98-9f02-457c-ad93-83516bc3e8a8\",\"type\":\"Title\"},{\"attributes\":{\"children\":[{\"id\":\"7e672660-d08e-4147-9122-bf51509ad614\",\"type\":\"ToolbarBox\"},{\"id\":\"9b7a9bef-ab20-4aa4-b5d0-1489b9ace218\",\"type\":\"Column\"}]},\"id\":\"4df8c916-43c7-4bb4-945a-a76f70960232\",\"type\":\"Column\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"d8393143-e53a-4d59-9ad5-c1e793c5ecbd\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"d080efcd-d0eb-479c-852e-e20e3638df4a\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"85efe079-9021-4a53-83e2-e95079f70ab9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"00fa26ca-09ff-4379-8316-d12d8905d901\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"c4e2b7d9-dedd-4bc1-8e61-56af589f8d98\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":null,\"text\":\"SPP 61.8% to 33.6% Coal\"},\"id\":\"4502026d-58eb-492d-a925-a9ec0a96d1cb\",\"type\":\"Title\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"3f009c75-9987-4fea-a111-39a48cf731de\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"cfdbc04f-ed61-451f-a22d-26556fd99dd3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"29e3e5fa-bd8e-40a7-a164-3041e6166bd9\",\"type\":\"BasicTicker\"}},\"id\":\"738295ac-6e40-4c78-94e3-cb26fcf04f3d\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"e6378aaf-aa47-4c7f-809d-efa576a1521e\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":null,\"text\":\"WECC 33.9% to 22.5% Coal\"},\"id\":\"34981b65-1ddb-4d53-b462-8e36abb5695c\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"e0513a22-0109-4d3e-a719-c994c52e1bc7\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null},\"id\":\"478e8b05-c658-43ab-bb35-7e2a2eb44fc4\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"cfdbc04f-ed61-451f-a22d-26556fd99dd3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"c3bf1164-9550-4935-9dc1-4cb2971c6e92\",\"type\":\"HoverTool\"},{\"attributes\":{\"axis_label\":\"change in Coal\",\"formatter\":{\"id\":\"59712bf5-e651-4a33-a5b9-782c5a2fe183\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"85efe079-9021-4a53-83e2-e95079f70ab9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"c5cc196f-498d-4525-a9be-7c263ae2bb87\",\"type\":\"BasicTicker\"}},\"id\":\"343dc060-38b2-4de7-9b6d-cd9bcc92364d\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":null,\"text\":\"FRCC 28.4% to 16.6% Coal\"},\"id\":\"799d9796-6858-4403-b923-a56b649cfefe\",\"type\":\"Title\"},{\"attributes\":{\"children\":[{\"id\":\"907d5fa5-693a-4f56-8da5-c5483730f6f8\",\"type\":\"Row\"},{\"id\":\"42aa2e92-19ba-4797-ae69-e5fe52ac43fc\",\"type\":\"Row\"},{\"id\":\"b7e3d706-c920-479b-b4ac-d48b5948d2f3\",\"type\":\"Row\"}]},\"id\":\"9b7a9bef-ab20-4aa4-b5d0-1489b9ace218\",\"type\":\"Column\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"bcf8d296-814d-4e85-b4b3-4f8cd2f73d3f\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"6de77dec-0d78-47cf-a2ec-e58409811373\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"pGR4kgUHqj+E9xLAthWrP98r8kpQpbE/4NONZP+Aqj9OI+xp/4yhP91Em8k1toU/5kandUW9kj//MF+SA2yjP/SnNhUKFZM/teVfvrh9mT9c+3z6cLi1P0soH1O0pa8/waX5xIXVnj+n2UHke3ilP/tOQh1E0Uc/2Oet5XAaoL+yv1aDrqugPzkBI91efXa/0018I77Igj+bamDQKx2EP8v/vIRnV3o/tdpLpPIsdj8OBX8pgt6XPzUeZvluVqM/0Fz9MmsinT/KrbaD5YamP1T5+W2z7KQ/Ok/rhW/bpj8R6l5fJ8BMP6Cll5m2o5w/0GPkh2sZlD/M84d3IUhiP+OuR1J+MKU/QhxJ9loDsT/5dFaXxCWtP+3cwYFbuZ4/rOa2SPzDmT+C2UDZGCKZP/hemz9Nnoq/Ra21kE+fRb+64EhiEsSevwrBwGaYgne/KbLWeQfDbz+92PuBiKeZP23GBM3LQJE/GgKRUAgcsz/gS+IRVmOzP4MDPBIQzJU/cGWEA8qLnT/lEltf0MOjPyCG6dwsw5k/1JedqFdwpD+/y6YjolKnP9eBMB/ysHG/9PZTaF5Jo799onbE9R6lvzApM7+y/KO/RM1WyaijbL9ZPsKQM5p/v24P5kmaG5K/ra6UnD3Qib9SAD2ykFKGP1qhfzWsU6O/YFpVF8/3pL87pShLwEN9v3ATdDdooaC/WtbaEmZur7+ouzJTPBirv3uOZP96UmC/+Un/b+2Ac78ZA3NFMhOaP7n0QcISUYW/C7n6xTvRp78HQqFTdfyxv8IEu2q7uaC/4g6GaC3smL8xbMVFoe2xv8tuOBOS0qO/C2acrdqtoL8b6S1Bsemmv4SrRofWpo+/uF5Q5b2crb9oSaPDeqatv3wkX+xY/qO/QEfJaelGl78/lUqN13yJv+hWupmKyp6/UibTFF2Vjz82/QPT6hhiP6DcLbEfI5m/VXxa9mzsnb81LEjIDSqavxbaLictOZK/byVC2Auepr9YY0pjn+ylvz06L7E6jLS/OKUdU/2Jrr9G70ReUh+rv03ZHlf4LLa/Bl7eZzOpwb/06Dv3zc+9v69SQeiUYrm/gA11aFGSqL+60KXhyiu1v6PbJRy6KrO/48ZNTNbXX7/A1SjCvWKDv+HwdYZJKqG/5TxWxQh4sb+n3U+eZbWsvzE6IC5kDbC/aIoI+OZWu7/mJfQki3q8v5jMIsFTu7G/r2GCY/j+tr9xXvgxFbq+v1GbtTsBQsO/VCxI/RlJx7+s5dNDAQHBv8zpQ0ns8rC/44TKDFAJs7+0qHUMUo7Bv4HyhOfakqi/04ay2PhVtr+VQJrRIvbBv7Lg+6wan72/MOXxvbPXu7/lEtb/lZqzv0XH5eEFVLq/eeBnYk4awr8AbQ7Ra+7Gv3+1ZdrfpMC/06RZlI0IyL/yTCPnl5bIvzD38eg2Tc+//9nIp4UK0r+UjhgBP8zTv4cjh8wrsc6/dKaUVceGyL8H3JDSZhi/v0iWAmYY0sO/r2ge6poUxL8jklpvnoa7vxuhQWRBGsC/TUvFyPtjx7+0raQ+HHHEv7/alLlSh8S/QSM0eecKzb92Umw5PTvKv5PON/OgLb2//hDNTk4etb9NMHdZu0O3v91UYJmMqMW/T+clTZZ9xb+3AW8PnyLKv5eqtBd94Li/lDW6YY0lw79hf9kLnXrAvzzfuPvvgca/nQYt4B6K0r8qaf3DLyzRv/gw+/keKMO/LkUOMMYQwb9W++yBKMS1v7sHLbYGKce/gbi/pBimyL/nxhh6VHrMv/Mlyt6TLcK/ERlhOGfVyb8ITYJ3ZO3JvzOE1yJKttC/7p/PklNI0r8rw4JN8ebOvzApZzID3ca/kaXeuNA2xr/eb6MevuHIv55WlSSeDs+/hOAcyMs60b+Psh/2C3rUv8/8OlWfjtK/HwIAR6Aizr+xgnnc4lvUv1wv+A3aTNu/kHgXOs064L+Dy7VNiSzZv0/zTOq1CtG/WocE/25Oy79wApfcv1HLv591IA60lc6/BiadmjC8zb850A+6k/jSv0/VMLgjP9K/4UDko+YUzL8Z451A3DTTv5etwYf7L9i/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"e413fbe9-95d4-423e-9187-545ff8801ef5\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"a92996c8-632e-43e5-806e-41132d5bdc21\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"change in Coal\",\"formatter\":{\"id\":\"9d4dd1f8-efd3-4cb4-8afa-4a5de2b6f553\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c4fe31d7-4d33-4de5-a80b-20de8748d7c0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5fb3f817-f329-4e79-89f1-f88812d991d4\",\"type\":\"BasicTicker\"}},\"id\":\"7e4cfd2d-e77a-496c-b39d-7d8733631fd6\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"ee9d20af-8f09-4952-bc00-56ffa92185ec\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"950130f1-7f89-4f55-ba18-acacc3c70a52\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"841261db-c64e-451e-9e96-4f1d216bb1cf\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"3f009c75-9987-4fea-a111-39a48cf731de\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"c4fe31d7-4d33-4de5-a80b-20de8748d7c0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"08272d29-b6df-4df8-84bd-e5279f2b7172\",\"type\":\"BasicTicker\"}},\"id\":\"f71944c1-120a-41e4-85b7-68d1d0945b2d\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"a7fba5f6-1318-4a81-b6a7-08e40629ffc9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"c4e2b7d9-dedd-4bc1-8e61-56af589f8d98\",\"type\":\"BasicTicker\"}},\"id\":\"887bf6ff-e7c3-4a8d-9285-85aa948da27b\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"dece65c0-5c4e-4152-8eef-bb8fd6104b7e\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"f1b58126-6533-4f13-a7d5-d65469e1207e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"1323a0e5-fc9c-44dc-9180-6fe4c7088a1b\",\"type\":\"BasicTicker\"}},\"id\":\"37e15717-3809-4f32-8f17-f68c3287df96\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"5eac2ea9-f5e4-488d-9b09-b7674590d827\",\"type\":\"Circle\"}],\"root_ids\":[\"4df8c916-43c7-4bb4-945a-a76f70960232\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"fad5426d-b67d-4f15-a058-b423fca11686\",\"elementid\":\"f799e57d-173a-4016-a302-04a9b51f99f6\",\"modelid\":\"4df8c916-43c7-4bb4-945a-a76f70960232\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"f799e57d-173a-4016-a302-04a9b51f99f6\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_bokeh_plot(gen_index, 'Coal', 'change in Coal', \n",
    "                  'change in norm variability', y_range=(-1, 7))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Wind"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Percent Wind vs Change in norm variability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T11:53:15.029529",
     "start_time": "2017-07-18T11:53:14.521956"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"10c65735-3f97-462f-82e5-363686305bdc\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<div style='background-color: #fdd'>\\n\"+\n",
       "       \"<p>\\n\"+\n",
       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "       \"</p>\\n\"+\n",
       "       \"<ul>\\n\"+\n",
       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "       \"</ul>\\n\"+\n",
       "       \"<code>\\n\"+\n",
       "       \"from bokeh.resources import INLINE\\n\"+\n",
       "       \"output_notebook(resources=INLINE)\\n\"+\n",
       "       \"</code>\\n\"+\n",
       "       \"</div>\"}};\n",
       "  \n",
       "    function display_loaded() {\n",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"10c65735-3f97-462f-82e5-363686305bdc\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        var s = document.createElement('script');\n",
       "        s.src = url;\n",
       "        s.async = false;\n",
       "        s.onreadystatechange = s.onload = function() {\n",
       "          window._bokeh_is_loading--;\n",
       "          if (window._bokeh_is_loading === 0) {\n",
       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"10c65735-3f97-462f-82e5-363686305bdc\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '10c65735-3f97-462f-82e5-363686305bdc' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"02e268e6-7640-47d7-9c55-a41ca413ce6f\":{\"roots\":{\"references\":[{\"attributes\":{},\"id\":\"b2a21db4-d017-45c3-948a-9ca6909ddfad\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"below\":[{\"id\":\"d2436cb7-5430-46c2-a3e3-5037aa91c53b\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"519a990a-087d-481d-baa2-b833c358ac8d\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"d2436cb7-5430-46c2-a3e3-5037aa91c53b\",\"type\":\"LinearAxis\"},{\"id\":\"4e745dc6-f34e-4b1b-acb1-7bf8c26b4043\",\"type\":\"Grid\"},{\"id\":\"519a990a-087d-481d-baa2-b833c358ac8d\",\"type\":\"LinearAxis\"},{\"id\":\"967f2df0-adcf-430c-826a-cb7866468f84\",\"type\":\"Grid\"},{\"id\":\"a33e7167-3815-45d0-8522-6ab88e3626ff\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"9a9e356b-a757-4540-8cea-b5ab04e5a4c9\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"e20f9462-c9cf-48a4-b96b-99b26394dc66\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"fd799ba4-2a47-4775-876e-0a843b431fcc\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"af7b9953-e9d5-411c-a417-78f86065e137\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"7c87ad01-299b-467b-9a1c-f39e6bd3f400\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"9b6743f4-2e72-4293-b7e6-4ce3ef609995\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"c537cbeb-3783-4efa-8c9e-21f26d36810c\",\"type\":\"LinearScale\"}},\"id\":\"ac77a293-9b9f-4355-9ce7-676120c03dc3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"d0a0a99b-ee2e-4725-a010-e438f0f55084\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":{\"id\":\"8f130557-d76a-4edb-9884-163029687c97\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"fcff65e0-5674-4f52-956b-447ad5df573b\",\"type\":\"BasicTicker\"}},\"id\":\"50bf4f11-a040-42bb-b251-1c6c1b635c05\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"e8b04f7d-e881-4448-afdc-f053e10e7b4c\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"d9fa138d-8d8b-4dc8-b287-86f06f9a2857\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"b15e2e59-e0c0-4664-bf4b-00f0db58af76\",\"type\":\"BasicTicker\"}},\"id\":\"b8fd8447-1c71-4010-b1f1-91408d98878a\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"percent Wind\",\"formatter\":{\"id\":\"25cc046a-6db3-4301-9a37-3fe45135d22c\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"d9fa138d-8d8b-4dc8-b287-86f06f9a2857\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"0f520c59-3408-456d-9d33-9c45c6ce77bf\",\"type\":\"BasicTicker\"}},\"id\":\"d574d4da-9393-40de-a87f-f7f5006f73c1\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"58d24d26-4487-4709-bbc5-45dbf7b3ba76\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"ec6d4d99-2652-4393-a8e6-04849695da95\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"bc105822-257b-4046-9ac8-8fc6823c2b47\",\"type\":\"Range1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"4f56ca5b-95bc-400d-8478-54b21f0f1531\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"e8b04f7d-e881-4448-afdc-f053e10e7b4c\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"f95e6b29-d02e-4e7e-9454-8292759300b7\",\"type\":\"HoverTool\"}]},\"id\":\"fea10453-3d42-4d91-8f86-2e71c7462973\",\"type\":\"Toolbar\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"27c8508a-d79d-453f-b163-25506077c0f8\",\"type\":\"HoverTool\"}]},\"id\":\"244361b9-dfe9-440f-9e3b-706949410bee\",\"type\":\"Toolbar\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"ac77a293-9b9f-4355-9ce7-676120c03dc3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f0c3d48c-f6de-4603-a1ca-410f5d639a48\",\"type\":\"BasicTicker\"}},\"id\":\"967f2df0-adcf-430c-826a-cb7866468f84\",\"type\":\"Grid\"},{\"attributes\":{\"data_source\":{\"id\":\"d8fbc139-3f7c-4e13-9a57-a557221c81f0\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"780c50f2-eec5-44f0-9064-608bff85b057\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"318c02ff-c33f-48d6-a443-b894433b4b7b\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"fa943ec9-8dbf-492f-83c5-c007c541f958\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"c7ac6af7-04c6-4e9d-8f1a-3781aab60da1\",\"type\":\"HoverTool\"}]},\"id\":\"71831b08-01e9-43d0-8dd0-2a81ba4a0a23\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"c95a2005-6a80-47a8-b508-befcd50a85f6\",\"type\":\"ToolEvents\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"d9fa138d-8d8b-4dc8-b287-86f06f9a2857\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"b15e2e59-e0c0-4664-bf4b-00f0db58af76\",\"type\":\"BasicTicker\"}},\"id\":\"e6b20794-035a-4c02-91bb-f8671f4bf9a2\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"7485cd02-5280-4ac2-ac0a-d623f323d4ec\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"c0cc6a09-8f06-417b-ae54-4839da4d42da\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"cc61cddd-c7e6-4fd5-863c-cc2c5d81c7c7\",\"type\":\"BasicTicker\"}},\"id\":\"7ef696f2-9be2-4f92-a8dd-62aaecb6dd0a\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"a82569f8-482b-4341-b9f9-8e429add7d0a\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"0473b049-1346-4b8c-a83f-a279d0b04156\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8fae47c4-96cc-4a2b-b710-8c74617e9c38\",\"type\":\"BasicTicker\"}},\"id\":\"f12941f7-7906-434c-a1d7-7ae20c4730cc\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"837235e3-07c9-42bf-b3bf-22bae33e05b8\",\"type\":\"ToolEvents\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"b9d61dcb-f792-4f85-beac-439697cef837\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"2dfe2288-e126-4a3a-adb2-ea1e2b5d06a6\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"837b07c1-f7a3-4fab-ad2d-43d01749aab7\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"0760dbb4-e524-4a0a-88ca-b683777c4d9b\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"dd8cc7a3-d61a-4a04-9672-c13d3fd8f3f8\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"97ae1d18-408f-4f84-9b1d-557069d1a419\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"e20f9462-c9cf-48a4-b96b-99b26394dc66\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"0a5a0b5e-b068-4b19-b8cd-4b22df276e5a\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"4654b969-1195-4311-b248-e659a848e85f\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"053a7f0a-8962-4343-a107-cf0dc3ff9fc2\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"384a5209-6bf4-42f7-b7b9-129ebbe7574b\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":null,\"text\":\"NPCC 0.0% to 2.7% Wind\"},\"id\":\"b97d60e7-a230-47e3-8b89-f8af910c1adf\",\"type\":\"Title\"},{\"attributes\":{\"plot\":null,\"text\":\"SERC 0.0% to 1.1% Wind\"},\"id\":\"b9fe0117-6ae6-4764-bc90-9ecb9eea9625\",\"type\":\"Title\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"57373a77-9588-4a69-a3a2-9f78feff7e48\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"2d23e952-fe3c-415d-aaab-74a4029a8d58\",\"type\":\"Range1d\"},{\"attributes\":{\"axis_label\":\"percent Wind\",\"formatter\":{\"id\":\"4654b969-1195-4311-b248-e659a848e85f\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"ac77a293-9b9f-4355-9ce7-676120c03dc3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"b7c6deaa-de21-4c06-8003-3a31091e4a05\",\"type\":\"BasicTicker\"}},\"id\":\"d2436cb7-5430-46c2-a3e3-5037aa91c53b\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"c537cbeb-3783-4efa-8c9e-21f26d36810c\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"b15e2e59-e0c0-4664-bf4b-00f0db58af76\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"63c6e998-64e4-4bb1-91e4-275ae9f94570\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"e158b5fc-b3a6-4e17-b273-0f0255a6a0dc\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"7405e22c-4ca3-42fb-a1b3-4392aa21df2d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d0a0a99b-ee2e-4725-a010-e438f0f55084\",\"type\":\"BasicTicker\"}},\"id\":\"c940d4ed-37d1-4454-8b11-713bf61db2eb\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"d8fbc139-3f7c-4e13-9a57-a557221c81f0\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"below\":[{\"id\":\"fd67b5e5-2fd9-447a-9c0e-103ddd7035ec\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"f12941f7-7906-434c-a1d7-7ae20c4730cc\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"fd67b5e5-2fd9-447a-9c0e-103ddd7035ec\",\"type\":\"LinearAxis\"},{\"id\":\"a6a68e54-ce58-425c-bb62-8f813d35622a\",\"type\":\"Grid\"},{\"id\":\"f12941f7-7906-434c-a1d7-7ae20c4730cc\",\"type\":\"LinearAxis\"},{\"id\":\"20382768-835e-42ca-9d63-d40255d37d02\",\"type\":\"Grid\"},{\"id\":\"89b58490-3737-42fe-adce-375c4409a55d\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"40d6552b-7a9c-4f0a-bc3f-90f747704528\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"0a5a0b5e-b068-4b19-b8cd-4b22df276e5a\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"e0d3a90c-7e36-4726-8630-cb7112d0487b\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"30c2cadf-f050-46b7-8a4e-cbc7db840660\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"7a1dc782-1825-4512-a418-2dd31f321f8d\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"b224ac07-9db7-4a39-84a3-f6fe7d86f0ea\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"7f759b40-37d1-4f48-bc7f-3928fd356216\",\"type\":\"LinearScale\"}},\"id\":\"0473b049-1346-4b8c-a83f-a279d0b04156\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"children\":[{\"id\":\"00ae2422-6d31-4eba-98ad-c96819e312d4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"c0cc6a09-8f06-417b-ae54-4839da4d42da\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"8f130557-d76a-4edb-9884-163029687c97\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"804703b0-e571-468d-aed2-b4298974ab45\",\"type\":\"Row\"},{\"attributes\":{},\"id\":\"85b5c98b-9178-4ebf-a194-7ec09ae24e93\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"c1d13a30-6108-448a-b676-a90ec258e73d\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":{\"id\":\"b5a20ede-ed14-4d46-8f0e-fab22fbe7fc2\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"053a7f0a-8962-4343-a107-cf0dc3ff9fc2\",\"type\":\"BasicTicker\"}},\"id\":\"0587e98b-cfb0-40d1-81d2-e735d5a64730\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"00ae2422-6d31-4eba-98ad-c96819e312d4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"da4cf2bc-63f1-4bea-831b-de5a939bb496\",\"type\":\"BasicTicker\"}},\"id\":\"1d519d24-d01b-473c-ac05-b0d65c85464f\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"0473b049-1346-4b8c-a83f-a279d0b04156\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"45d4ba63-d893-403a-9a28-de73e71ef4ed\",\"type\":\"HoverTool\"},{\"attributes\":{\"data_source\":{\"id\":\"1c00013b-b98a-467a-85b9-ee51d635fa11\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"7b9586ba-6b6e-41be-b991-6cd4657fc53d\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"c0cc9d64-a010-4e1e-8178-86150c261100\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"7b772803-5df3-4118-936f-08c9b86f90c9\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"end\":0.35},\"id\":\"30c2cadf-f050-46b7-8a4e-cbc7db840660\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"e9e69a19-e9a0-47f1-bad7-598eed6378ef\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"7ee3b154-ab72-4c54-9be7-494b3d17872e\",\"type\":\"Circle\"},{\"attributes\":{\"data_source\":{\"id\":\"5934cea9-05b3-4c99-ab27-c5aac4d86dc9\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"c1d13a30-6108-448a-b676-a90ec258e73d\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"23886650-7ec6-45e2-b357-bacf8b1f407f\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"a33e7167-3815-45d0-8522-6ab88e3626ff\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"56711963-bf3c-4469-b839-4f44df602d55\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"b7c6deaa-de21-4c06-8003-3a31091e4a05\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"b5a20ede-ed14-4d46-8f0e-fab22fbe7fc2\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"70be4c97-1742-4798-80a7-5f6c9c3013ab\",\"type\":\"BasicTicker\"}},\"id\":\"33db06cf-e5f7-4ff8-8137-c9cb6f54f772\",\"type\":\"Grid\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"f1f21c93-5429-46e2-a20e-c152787b2e22\",\"type\":\"HoverTool\"}]},\"id\":\"fd799ba4-2a47-4775-876e-0a843b431fcc\",\"type\":\"Toolbar\"},{\"attributes\":{\"children\":[{\"id\":\"6a5d191d-98d5-4668-a19a-10cb511fee67\",\"type\":\"Row\"},{\"id\":\"804703b0-e571-468d-aed2-b4298974ab45\",\"type\":\"Row\"},{\"id\":\"d4be1081-38f1-4670-ba52-7d3f31d7f455\",\"type\":\"Row\"}]},\"id\":\"4eb046dd-1d39-4986-9ba4-0a3166df11ed\",\"type\":\"Column\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"7b9586ba-6b6e-41be-b991-6cd4657fc53d\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":0.35},\"id\":\"99fe84bc-d0f6-421b-bce0-aba3cd8d205e\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"end\":0.35},\"id\":\"c7e197eb-224e-42c0-b3e2-dad4778a439f\",\"type\":\"Range1d\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"b4582718-3f80-485b-84f6-d331e182da8f\",\"type\":\"HoverTool\"}]},\"id\":\"ef3c5c89-6c5e-4925-b130-6e0971accebe\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"9b6743f4-2e72-4293-b7e6-4ce3ef609995\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"7e69d147-0f92-4321-bbd9-fd5e1d328171\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"8fae47c4-96cc-4a2b-b710-8c74617e9c38\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":null,\"text\":\"WECC 1.1% to 7.0% Wind\"},\"id\":\"9a9e356b-a757-4540-8cea-b5ab04e5a4c9\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"b5a20ede-ed14-4d46-8f0e-fab22fbe7fc2\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"caf6226b-b504-41bb-9bc0-1e67a53676e9\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"4430dae9-2fe5-404c-a970-3ae60109a530\",\"type\":\"ToolEvents\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"33aa0cc3-8744-40d0-972e-6bfd4ef34ca3\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":null,\"text\":\"RFC 0.0% to 1.8% Wind\"},\"id\":\"0eb048be-3ef2-427b-9e25-1dda0d4a87ad\",\"type\":\"Title\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"23886650-7ec6-45e2-b357-bacf8b1f407f\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"318c02ff-c33f-48d6-a443-b894433b4b7b\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"7a841db3-3421-494c-9f10-02a268207c61\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"d986acc9-6e6a-4e1c-ac3b-32652945f4b0\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"97ae1d18-408f-4f84-9b1d-557069d1a419\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"ac77a293-9b9f-4355-9ce7-676120c03dc3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f0c3d48c-f6de-4603-a1ca-410f5d639a48\",\"type\":\"BasicTicker\"}},\"id\":\"519a990a-087d-481d-baa2-b833c358ac8d\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"59bc2524-4b3e-4c08-9abc-6edd95790828\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"b9739fcd-12c4-491b-ab21-95df0ea39036\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"below\":[{\"id\":\"44d90a45-4531-450b-adb9-b16f84d0a68a\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"5339659a-417c-4ace-9ca6-205d8c84d0b5\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"44d90a45-4531-450b-adb9-b16f84d0a68a\",\"type\":\"LinearAxis\"},{\"id\":\"a6eab99f-dcb4-4e94-9cfb-06aba1d83476\",\"type\":\"Grid\"},{\"id\":\"5339659a-417c-4ace-9ca6-205d8c84d0b5\",\"type\":\"LinearAxis\"},{\"id\":\"1d519d24-d01b-473c-ac05-b0d65c85464f\",\"type\":\"Grid\"},{\"id\":\"85a70a24-7dc8-4f4f-9f10-0e0363c9f311\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"0bda1f46-a8ff-4242-a8f6-31b4d38c2635\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"9f6cf20c-ce76-4247-9c38-e8899e7c4a43\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"244361b9-dfe9-440f-9e3b-706949410bee\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"99fe84bc-d0f6-421b-bce0-aba3cd8d205e\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"59bc2524-4b3e-4c08-9abc-6edd95790828\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"7e69d147-0f92-4321-bbd9-fd5e1d328171\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"78fadb10-b667-455e-b72c-779a8af73430\",\"type\":\"LinearScale\"}},\"id\":\"00ae2422-6d31-4eba-98ad-c96819e312d4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":{\"id\":\"d9fa138d-8d8b-4dc8-b287-86f06f9a2857\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"0f520c59-3408-456d-9d33-9c45c6ce77bf\",\"type\":\"BasicTicker\"}},\"id\":\"f4419d56-29e4-4204-89df-ccf991ce513a\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":null,\"text\":\"MRO 1.7% to 17.8% Wind\"},\"id\":\"40d6552b-7a9c-4f0a-bc3f-90f747704528\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"d9fa138d-8d8b-4dc8-b287-86f06f9a2857\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"f95e6b29-d02e-4e7e-9454-8292759300b7\",\"type\":\"HoverTool\"},{\"attributes\":{\"below\":[{\"id\":\"c41a24ab-ab28-4a07-9e05-1d1806c603f6\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"527b81df-6ee6-4234-8ad6-4cb1eaf19b81\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"c41a24ab-ab28-4a07-9e05-1d1806c603f6\",\"type\":\"LinearAxis\"},{\"id\":\"0587e98b-cfb0-40d1-81d2-e735d5a64730\",\"type\":\"Grid\"},{\"id\":\"527b81df-6ee6-4234-8ad6-4cb1eaf19b81\",\"type\":\"LinearAxis\"},{\"id\":\"33db06cf-e5f7-4ff8-8137-c9cb6f54f772\",\"type\":\"Grid\"},{\"id\":\"7b772803-5df3-4118-936f-08c9b86f90c9\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"b9fe0117-6ae6-4764-bc90-9ecb9eea9625\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"c95a2005-6a80-47a8-b508-befcd50a85f6\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"d0d3df52-aecb-4648-a338-ccab3c6703bc\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"76e96743-733e-488d-90e2-aa87ec5d46f2\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"8d188489-702e-40f0-8304-1c4152505f10\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"7a841db3-3421-494c-9f10-02a268207c61\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"85b5c98b-9178-4ebf-a194-7ec09ae24e93\",\"type\":\"LinearScale\"}},\"id\":\"b5a20ede-ed14-4d46-8f0e-fab22fbe7fc2\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"ba8f8c64-09b5-4b9e-8a9c-58c140621142\",\"type\":\"HoverTool\"}]},\"id\":\"238aed57-c8b7-4037-a058-1bc7454f625d\",\"type\":\"Toolbar\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"39d8ed20-3865-4edb-a574-e437c80e758c\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"7f759b40-37d1-4f48-bc7f-3928fd356216\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":{\"id\":\"ac77a293-9b9f-4355-9ce7-676120c03dc3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"b7c6deaa-de21-4c06-8003-3a31091e4a05\",\"type\":\"BasicTicker\"}},\"id\":\"4e745dc6-f34e-4b1b-acb1-7bf8c26b4043\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"8f130557-d76a-4edb-9884-163029687c97\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2dfe2288-e126-4a3a-adb2-ea1e2b5d06a6\",\"type\":\"BasicTicker\"}},\"id\":\"3f19368b-1379-40d1-9f3c-36a12102038d\",\"type\":\"Grid\"},{\"attributes\":{\"below\":[{\"id\":\"713a399f-502f-45b5-96ad-6d3a12e6f7a8\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"4e95b79f-c6c8-48aa-831e-e32f7b5b08fd\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"713a399f-502f-45b5-96ad-6d3a12e6f7a8\",\"type\":\"LinearAxis\"},{\"id\":\"cdfbe4e9-2a22-4e54-a054-0542b5c5c52a\",\"type\":\"Grid\"},{\"id\":\"4e95b79f-c6c8-48aa-831e-e32f7b5b08fd\",\"type\":\"LinearAxis\"},{\"id\":\"7ef696f2-9be2-4f92-a8dd-62aaecb6dd0a\",\"type\":\"Grid\"},{\"id\":\"0b2bdd4e-f014-46eb-8d85-d53478f9366d\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"0eb048be-3ef2-427b-9e25-1dda0d4a87ad\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"f62a40b4-4178-4eb1-9733-c84b79641b31\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"238aed57-c8b7-4037-a058-1bc7454f625d\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"c7e197eb-224e-42c0-b3e2-dad4778a439f\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"2d1d7c63-b40d-49cc-9fc0-740765a3b166\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"53a13bd6-bf93-45c9-8028-d3c116098851\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"873c6600-e04d-4b32-bcd8-a98760dde08c\",\"type\":\"LinearScale\"}},\"id\":\"c0cc6a09-8f06-417b-ae54-4839da4d42da\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"0760dbb4-e524-4a0a-88ca-b683777c4d9b\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"8f130557-d76a-4edb-9884-163029687c97\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2dfe2288-e126-4a3a-adb2-ea1e2b5d06a6\",\"type\":\"BasicTicker\"}},\"id\":\"55012652-1fa0-4c2d-aef3-bbc7a66475db\",\"type\":\"LinearAxis\"},{\"attributes\":{\"children\":[{\"id\":\"7405e22c-4ca3-42fb-a1b3-4392aa21df2d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"d9fa138d-8d8b-4dc8-b287-86f06f9a2857\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"ac77a293-9b9f-4355-9ce7-676120c03dc3\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"6a5d191d-98d5-4668-a19a-10cb511fee67\",\"type\":\"Row\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"56711963-bf3c-4469-b839-4f44df602d55\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"b5a20ede-ed14-4d46-8f0e-fab22fbe7fc2\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"70be4c97-1742-4798-80a7-5f6c9c3013ab\",\"type\":\"BasicTicker\"}},\"id\":\"527b81df-6ee6-4234-8ad6-4cb1eaf19b81\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"end\":0.35},\"id\":\"76e96743-733e-488d-90e2-aa87ec5d46f2\",\"type\":\"Range1d\"},{\"attributes\":{\"below\":[{\"id\":\"4767c763-c840-440e-b3b6-155d98f8476c\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"55012652-1fa0-4c2d-aef3-bbc7a66475db\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"4767c763-c840-440e-b3b6-155d98f8476c\",\"type\":\"LinearAxis\"},{\"id\":\"50bf4f11-a040-42bb-b251-1c6c1b635c05\",\"type\":\"Grid\"},{\"id\":\"55012652-1fa0-4c2d-aef3-bbc7a66475db\",\"type\":\"LinearAxis\"},{\"id\":\"3f19368b-1379-40d1-9f3c-36a12102038d\",\"type\":\"Grid\"},{\"id\":\"fa943ec9-8dbf-492f-83c5-c007c541f958\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"6396c81e-1ed1-4f7d-a65d-d9c1bf3908d3\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"837235e3-07c9-42bf-b3bf-22bae33e05b8\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"71831b08-01e9-43d0-8dd0-2a81ba4a0a23\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"f5f2ee40-8bb4-4961-bd2f-b285b6445c5a\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"1616f7bc-a543-4638-9a0d-b0c018958f25\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"2d23e952-fe3c-415d-aaab-74a4029a8d58\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"23f278a3-0652-45ab-b640-e63799075318\",\"type\":\"LinearScale\"}},\"id\":\"8f130557-d76a-4edb-9884-163029687c97\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":null,\"text\":\"FRCC 0.0% to 0.0% Wind\"},\"id\":\"0bda1f46-a8ff-4242-a8f6-31b4d38c2635\",\"type\":\"Title\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"792ce4cd-d708-4c27-a590-915ddc18f19b\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"5934cea9-05b3-4c99-ab27-c5aac4d86dc9\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1d413d50-2736-486b-bba9-e80919f181d5\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"percent Wind\",\"formatter\":{\"id\":\"ea806dd8-a007-4fcc-ab25-18197f5b7224\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"00ae2422-6d31-4eba-98ad-c96819e312d4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"63c6e998-64e4-4bb1-91e4-275ae9f94570\",\"type\":\"BasicTicker\"}},\"id\":\"44d90a45-4531-450b-adb9-b16f84d0a68a\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"7c87ad01-299b-467b-9a1c-f39e6bd3f400\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"9a05d02d-55c9-41c1-b819-66ceb8e21385\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"end\":0.35},\"id\":\"0b84bb75-0cdd-4627-a108-e83cf818b9ae\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"f62a40b4-4178-4eb1-9733-c84b79641b31\",\"type\":\"ToolEvents\"},{\"attributes\":{\"sizing_mode\":\"scale_width\",\"toolbar_location\":\"above\",\"tools\":[{\"id\":\"b4582718-3f80-485b-84f6-d331e182da8f\",\"type\":\"HoverTool\"},{\"id\":\"f95e6b29-d02e-4e7e-9454-8292759300b7\",\"type\":\"HoverTool\"},{\"id\":\"f1f21c93-5429-46e2-a20e-c152787b2e22\",\"type\":\"HoverTool\"},{\"id\":\"27c8508a-d79d-453f-b163-25506077c0f8\",\"type\":\"HoverTool\"},{\"id\":\"ba8f8c64-09b5-4b9e-8a9c-58c140621142\",\"type\":\"HoverTool\"},{\"id\":\"c7ac6af7-04c6-4e9d-8f1a-3781aab60da1\",\"type\":\"HoverTool\"},{\"id\":\"45d4ba63-d893-403a-9a28-de73e71ef4ed\",\"type\":\"HoverTool\"},{\"id\":\"caf6226b-b504-41bb-9bc0-1e67a53676e9\",\"type\":\"HoverTool\"}]},\"id\":\"f3935e49-8c1b-48c3-8961-85e4460d4d86\",\"type\":\"ToolbarBox\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"bd3629ff-41a1-48bb-95f5-5e3b0b1ac66c\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c0cc6a09-8f06-417b-ae54-4839da4d42da\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"cc61cddd-c7e6-4fd5-863c-cc2c5d81c7c7\",\"type\":\"BasicTicker\"}},\"id\":\"4e95b79f-c6c8-48aa-831e-e32f7b5b08fd\",\"type\":\"LinearAxis\"},{\"attributes\":{\"below\":[{\"id\":\"d574d4da-9393-40de-a87f-f7f5006f73c1\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"b8fd8447-1c71-4010-b1f1-91408d98878a\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"d574d4da-9393-40de-a87f-f7f5006f73c1\",\"type\":\"LinearAxis\"},{\"id\":\"f4419d56-29e4-4204-89df-ccf991ce513a\",\"type\":\"Grid\"},{\"id\":\"b8fd8447-1c71-4010-b1f1-91408d98878a\",\"type\":\"LinearAxis\"},{\"id\":\"e6b20794-035a-4c02-91bb-f8671f4bf9a2\",\"type\":\"Grid\"},{\"id\":\"03856dc3-75c9-41d0-886a-981be1b8d6a2\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"e3bd43c8-bb6b-45ef-a62a-d72ccacf7abb\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"4430dae9-2fe5-404c-a970-3ae60109a530\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"fea10453-3d42-4d91-8f86-2e71c7462973\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"0b84bb75-0cdd-4627-a108-e83cf818b9ae\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"9a05d02d-55c9-41c1-b819-66ceb8e21385\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"bc105822-257b-4046-9ac8-8fc6823c2b47\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"3280fe2e-244e-442c-908d-cbee561f94f2\",\"type\":\"LinearScale\"}},\"id\":\"d9fa138d-8d8b-4dc8-b287-86f06f9a2857\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"873c6600-e04d-4b32-bcd8-a98760dde08c\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"c0cc9d64-a010-4e1e-8178-86150c261100\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"ac77a293-9b9f-4355-9ce7-676120c03dc3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"f1f21c93-5429-46e2-a20e-c152787b2e22\",\"type\":\"HoverTool\"},{\"attributes\":{\"children\":[{\"id\":\"f3935e49-8c1b-48c3-8961-85e4460d4d86\",\"type\":\"ToolbarBox\"},{\"id\":\"4eb046dd-1d39-4986-9ba4-0a3166df11ed\",\"type\":\"Column\"}]},\"id\":\"e5542b78-f077-40a4-bd86-5ce598343b74\",\"type\":\"Column\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"4e5a76b3-381b-455f-8658-a611b8f2b18f\",\"type\":\"Range1d\"},{\"attributes\":{\"plot\":{\"id\":\"c0cc6a09-8f06-417b-ae54-4839da4d42da\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"37f50b8a-867b-4353-86f6-40d41198944d\",\"type\":\"BasicTicker\"}},\"id\":\"cdfbe4e9-2a22-4e54-a054-0542b5c5c52a\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"23f278a3-0652-45ab-b640-e63799075318\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"7a1dc782-1825-4512-a418-2dd31f321f8d\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"bd3629ff-41a1-48bb-95f5-5e3b0b1ac66c\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAib0Wxr1+2j5va7IAhDDWPl0FNKUex9s+GmRZkctj1z5LJrch1JLWPkHE9EENU7o+iA4QSuXgsD5h6grddh64PuAqe/PdZcI+J5TeYEGSyD5SRZ/yU5bWPvK3DD01ttc+p3uj8Kjd9j5QPp7jlaf3PsXHIzWMFvg+kHG/jdPD+D7JuSKB6+D1Pqz4c/twsfM+4AN4nig38z57ONZEL+vyPhpXVyzkuvQ+fyRezVt29j4enzvuEEL6Pt+TX5Vp9fc+jqJNj8No4z5aRtPn6fYGP6ple2IShBs/e6Kpm5pnIT9ERl1/yFocP6eO9E78rAo/68Jv+PqoAT8YaDJ/cosFP9VaBFHyJA0/WJ757JUxHD/gm0EWRjUgP0C/Rtd22iI/xKF6PQjCEz8f9og8Oj8YPyTnIqFm0h8/KRTc9WAyIj8xS+6qNeQbP3XZ+0zrBA0/OR6BJ4JUAD/QdJOqKk/3PlcnZF6NtQw/kkCK31FAFT/AVOacCCQkP046q+1y90Y/Dr6zXixLND/GbKdpiKEyP7BjmXmyWzc/2tFI5vt1PT+y4fPQTYsyPx8Wm7llSCY/L1qTBFO3Ij9Q6i8MMbUcP9GhXDI/8Co/ry8XV+jlOD9guKMD44I7P+3YV6SRAT8/9/pmh1sGOT/JKGNDVYczP2lLLN9u+jk/Zu1tR/UjRz+Kkar+QNJIPxApvJ53Cjw/YBnXXxAoMj+mcciWbyIvP5Oh+BgEfEc/DLQ206TGVD+d83w2/htUPwGUN3EXN1U/pDmEPKWmZT+BAxF6GyhjPwbxowh1QmU/khRIM8tvaT81PIMyBhZmP6And1JHSl0/sn3//bzgTj/WKylDmj5KP3+OleOaU1U/NwjqCm7oaT+3UZAyVYZvP2NJxZMXZXE/X0oldT4/aD8zktnjYvlwP/lP4HdG6m4/TJGmu5gVdD+QaG8W1BZpPzcM+72yiF0/DFo90iOJVD/yP9YkLntePw8z3UsEE1k/u/CN037vcD/7RsMp+t50P0Do3hw8dHQ/gXoDh9hvcD/Eu8k+XE5qPyRIUP3Yd3c/v/Jbmx+cfz86qZmrK652P3kL3tZQ8GY/0PCQEXCrYz/Arefqrr9jP1FrBcPkPHQ/sT1Ha3oJgD/PpD6Obv+CP9Lwssm5rnQ/xUbwVQlYdD/me4LWhD6BPzsP0kaWioA/jb3eNKalhj/K371/Bsl+PzO+TGpmC3U/ZWvYRoP9ZT8Zc1zTGI1kPw+lVA/q/XU/setmQNGifz8jXIoHQriKP/JOWh+R84E/SZpAseLvhj8a2I2XuPmBP4kPcufLrok/eM2f1Hl6hz879nT9+QiBPzcVlkYQJHw//hlpa1clbD9RWOelJvBqP2P/5cOYv3c/rrntuV57hj/TIKVC+x+CP6s8lqcWuYg/Jvo/SwKajD+pbKgUzlCIP7CVBDW+q4k/NO5XIWo/jz8fZ6S6wPaEP6ToX3nUSH0/V744/2fmcj/2Tzl2KlBuP4qn8B7muXo/ebZLKgbghD9W0vdY/WeQP8qBy8teioY/0pU1CB0rjD8tY9RkAiaGPyfJ+C1H+4s/bBGVX+N8kD8JPN/Zb9qGPw40189sv30/ZLsbuz7Hdj8R747ElgVwP70u8xnmsXc/DV/uuOjehz8iYlwv/QORP+JiLrChooQ/uc+1FnlNhz+kyNDvENOGP7DpPiXNe4o/z1r2UogPjz+xOniWdfOGP2baoHxv0Xc/ctzdpCqbcD9abQbDK3BzPyAm8pfFK4A/vDZTw8/Tjz8fC37MB3OTP2Cu44PddJE/6GmewOrVjD8ExAQQyrmOP857jrWZi48/B2BmF7Enjz9ONNtDiHiGP0DNwCSFHHs/olycZ+E8cT9sUVfDOBJtPx0AtYqY9oA/okfcFptjiz/DtPLY7YaPP5QFcDqr1o0/9fWnEaaTiD9xi3y/LJORP0i5/WmLyJE/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"1c00013b-b98a-467a-85b9-ee51d635fa11\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"780c50f2-eec5-44f0-9064-608bff85b057\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"c0cc6a09-8f06-417b-ae54-4839da4d42da\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"ba8f8c64-09b5-4b9e-8a9c-58c140621142\",\"type\":\"HoverTool\"},{\"attributes\":{\"data_source\":{\"id\":\"bbbc4ccb-769b-4661-8a14-172cc79b879c\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"792ce4cd-d708-4c27-a590-915ddc18f19b\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"4f56ca5b-95bc-400d-8478-54b21f0f1531\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"85a70a24-7dc8-4f4f-9f10-0e0363c9f311\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"end\":0.35},\"id\":\"f5f2ee40-8bb4-4961-bd2f-b285b6445c5a\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"a0d164e8-261f-40f5-a7a1-7ee935dd1bd6\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"percent Wind\",\"formatter\":{\"id\":\"1d413d50-2736-486b-bba9-e80919f181d5\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"7405e22c-4ca3-42fb-a1b3-4392aa21df2d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"bc3762a4-409f-4407-b6a0-489b73cafe98\",\"type\":\"BasicTicker\"}},\"id\":\"45ee6fae-8d0e-4312-92ee-f8bf91715ecd\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"cc61cddd-c7e6-4fd5-863c-cc2c5d81c7c7\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"2d1d7c63-b40d-49cc-9fc0-740765a3b166\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"percent Wind\",\"formatter\":{\"id\":\"11538d27-1cdf-42e4-8bee-62d1fea9bfee\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"b5a20ede-ed14-4d46-8f0e-fab22fbe7fc2\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"053a7f0a-8962-4343-a107-cf0dc3ff9fc2\",\"type\":\"BasicTicker\"}},\"id\":\"c41a24ab-ab28-4a07-9e05-1d1806c603f6\",\"type\":\"LinearAxis\"},{\"attributes\":{\"below\":[{\"id\":\"45ee6fae-8d0e-4312-92ee-f8bf91715ecd\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"6069d78d-0e9d-4064-b5af-b988a5ad029b\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"45ee6fae-8d0e-4312-92ee-f8bf91715ecd\",\"type\":\"LinearAxis\"},{\"id\":\"ca1d45e7-2808-451b-ab36-3e6dc6c2a601\",\"type\":\"Grid\"},{\"id\":\"6069d78d-0e9d-4064-b5af-b988a5ad029b\",\"type\":\"LinearAxis\"},{\"id\":\"c940d4ed-37d1-4454-8b11-713bf61db2eb\",\"type\":\"Grid\"},{\"id\":\"f3ab33f2-eeb9-4534-8dba-ee414e8f7541\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"b97d60e7-a230-47e3-8b89-f8af910c1adf\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"b96827b1-8867-4b5b-95c0-20f5784826d3\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"ef3c5c89-6c5e-4925-b130-6e0971accebe\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"4a1db50e-238b-4e8f-9fdb-048a37149c3b\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"58d24d26-4487-4709-bbc5-45dbf7b3ba76\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"4e5a76b3-381b-455f-8658-a611b8f2b18f\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"e9e69a19-e9a0-47f1-bad7-598eed6378ef\",\"type\":\"LinearScale\"}},\"id\":\"7405e22c-4ca3-42fb-a1b3-4392aa21df2d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"b96827b1-8867-4b5b-95c0-20f5784826d3\",\"type\":\"ToolEvents\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"45d4ba63-d893-403a-9a28-de73e71ef4ed\",\"type\":\"HoverTool\"}]},\"id\":\"e0d3a90c-7e36-4726-8630-cb7112d0487b\",\"type\":\"Toolbar\"},{\"attributes\":{\"plot\":{\"id\":\"7405e22c-4ca3-42fb-a1b3-4392aa21df2d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"bc3762a4-409f-4407-b6a0-489b73cafe98\",\"type\":\"BasicTicker\"}},\"id\":\"ca1d45e7-2808-451b-ab36-3e6dc6c2a601\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"0f520c59-3408-456d-9d33-9c45c6ce77bf\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"41f2645a-8fb2-4c0f-b27f-605ac9f5c778\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"39d8ed20-3865-4edb-a574-e437c80e758c\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"2684e498-c0fe-4e76-aa4c-667c22527875\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"89b58490-3737-42fe-adce-375c4409a55d\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"53a13bd6-bf93-45c9-8028-d3c116098851\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"bbbc4ccb-769b-4661-8a14-172cc79b879c\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"78fadb10-b667-455e-b72c-779a8af73430\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"00ae2422-6d31-4eba-98ad-c96819e312d4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"27c8508a-d79d-453f-b163-25506077c0f8\",\"type\":\"HoverTool\"},{\"attributes\":{\"plot\":null,\"text\":\"SPP 1.1% to 27.0% Wind\"},\"id\":\"6396c81e-1ed1-4f7d-a65d-d9c1bf3908d3\",\"type\":\"Title\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2684e498-c0fe-4e76-aa4c-667c22527875\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":null,\"text\":\"ERCOT 1.1% to 12.6% Wind\"},\"id\":\"e3bd43c8-bb6b-45ef-a62a-d72ccacf7abb\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"fcff65e0-5674-4f52-956b-447ad5df573b\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"bc3762a4-409f-4407-b6a0-489b73cafe98\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"ea806dd8-a007-4fcc-ab25-18197f5b7224\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"86bd8a4e-1d68-42ca-8a36-76cb27b7cadb\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"37f50b8a-867b-4353-86f6-40d41198944d\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"DFjRrevtez/6f6A9QTZ6Py8qh+caXHk/jD+wWBpQgz85HBV0dO1/P/8r962a+Hc/O8o8jOJlcD/t24WCVx9vP0ofLKOsn3Q/ZTWlF8TdgT9FN2g3YW6DP1XPoWAiD4I/K+fD/3I4hD+GZDLqpKGJP9Awdd6fFIA/c41h8Ps9iD+Hm7ScZE6FP176tjzBv4A/a4ODonwcbz9OEXUOVNB1P16rI5rEM30/TzE5QY1vfj8NespiRdKBPwoegwfTlYM/zvSu9DLzgT//fkTo9kGGPzcpssGWhYg/BrxbJ06LiD9UimD3l1mEP5pj7WPdhnk/FYA+Ksb3dz9/k5zST6twPy4TQ1MC64E/l34pZDGVhz+X60kLu12MP54hQGiuUow/wpkFc+G1hD8BZtNuveyIPzMvXtgdiow/ffSlg4orij+PwHnPc8CMP0AeO515e38/N18+GfLHdD+iTl6yfHZ7P34tSRp9V4U/La/bjM8uhz8kmwFmsvCGP056LRUcNok/SUcTu8zghj++y15Y5qeOP+M2BWz1spI/tIAaRN+/lj+g5cY3OCeXP4lw3RoWbY0/dpCPzFCAhT+8mnO/jRSAP6sVH93EjpE/dg4hVhsKkz9jtqS0n+2bP21xjBh575I/aqLv04pHmz/Gk+rv3VqZP7KZJGdR+5s/Ca2T3rPpnz8GPYTH60qdPzLGN1MVyI8/eXQitnl+ij+ANW1YVj2HPyeeOSOasZM/7MKhTesymz/Fy2UwRM6ZP2DVzzz6A54/YHTfh6WuoT887b+MUH2aP3v47zj+gqI/iVlEhOzwoT8s6cB4heiiP2PjWIy1qZU/aV+r1tK5jT8VLpHMA4GJP2fHzamLipw/q93tCTg2nj8c+9LeWiWiP1ZmHe5K4Zk/G+w5Qoafoj+6EYyfgwOgP39usinjnqI/GEB6nEwJrD+gRlL1JoWqP6qBBWlvBqI/U3Vj1ELOmT/RPOKJv1ScP5DUjHgWi6Y/aaPTtLfWrT/edRii9BOwPwbO2viuVLQ/h6F3G/fDsT/blfiXPby1P0YWISf1lbc/vO/2kmeMuj9VaIaGaym3P64yf6lQK6o/4Izr0x8ypj++OWajl7mqP16Xn///cKk/TtSmkp3vsz+bg6NT3ES2Py+75kaKHLI/wXxV6Lj1sj/psPnxtQWwP0ti1OBV4bY/vFWiuEMEvD+iimmGlsC3P9p+W5f2Ea8/QB4gJdABqD9voDE5VHmuP4g1oxmxFLc/eFruQnwTuj/DwlhxS7G9PwAjComFjrc/H8bFxhPotT8OIPkphqHAP/I0hTDR9bs/K/f7gljZwT/y6FAxrD7DP6SRetTAp7k/RmNomGMqqj/tylztllKqPxogSrd1MLQ/5yEeckeTwT+HYWJw1h7EPxyA3kynJsE/ABIU71zJwz+EmcBX7hLAPw4jkX71icQ/kLICw34Hxj8DHHRswBXEP3wBZpuhAr0/4E27BRl0rz/X0zIe5hizPwNFdQLqbbs/EOcTSyPqxD9lop/735rDPyqTj664esA/byaNuqalxD/J4sDPrFbCP7sBdPfyS8I/GDZzMxV1xj/5oSz2jgLGP28+1hGEsL4/TyD03JvYtT+8YFNRN/2xP71NS83KecA/Qd8rnxTQwz/QLCEtjXDIPzsrKDs818A/A61RQ6owxj+SeAXPz7HDP+X8tAb3VsY/38+LbkC0yj9i3jEnMb/DP7WRe4MuIb4/ZsxqOBV1uj82L+HsipWuP+7y+OuGOcA/qBp8boaZxj/lVuio0QLKP4p0aEkKGsI/CNSK4z6NxT9LH1b+W8nDP7f2/dm1hcY/fQwKbu1kyT+m9hDUVXXHP+nA1LXFqrk/aN3u9H0ItT9YqGumYW26P64niPh/bME/R8vymdxMyD9eGzh+TUvMP4CmDqa5XsY/Bp6IAniGxD8bWEtH47PIPy3MKoYQWss/vbE3zy9V0T/L6Nrm4CPGPyl65vWPEsI/8iraCCJnuT+21dRi3CG2P02h7UoUCMY/7KUpAOQzyz9xx4o/+8zMPwOjYus3aM4/bGCMhCWuxT+ZaJF4Nz3NP24qkcx8u88/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"41f2645a-8fb2-4c0f-b27f-605ac9f5c778\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"f0c3d48c-f6de-4603-a1ca-410f5d639a48\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"7405e22c-4ca3-42fb-a1b3-4392aa21df2d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"b4582718-3f80-485b-84f6-d331e182da8f\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"end\":0.35},\"id\":\"4a1db50e-238b-4e8f-9fdb-048a37149c3b\",\"type\":\"Range1d\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"0473b049-1346-4b8c-a83f-a279d0b04156\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8fae47c4-96cc-4a2b-b710-8c74617e9c38\",\"type\":\"BasicTicker\"}},\"id\":\"20382768-835e-42ca-9d63-d40255d37d02\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"a82569f8-482b-4341-b9f9-8e429add7d0a\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":{\"id\":\"0473b049-1346-4b8c-a83f-a279d0b04156\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d986acc9-6e6a-4e1c-ac3b-32652945f4b0\",\"type\":\"BasicTicker\"}},\"id\":\"a6a68e54-ce58-425c-bb62-8f813d35622a\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"11538d27-1cdf-42e4-8bee-62d1fea9bfee\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data_source\":{\"id\":\"b9739fcd-12c4-491b-ab21-95df0ea39036\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"ec6d4d99-2652-4393-a8e6-04849695da95\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"7ee3b154-ab72-4c54-9be7-494b3d17872e\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"03856dc3-75c9-41d0-886a-981be1b8d6a2\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1616f7bc-a543-4638-9a0d-b0c018958f25\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"b2a21db4-d017-45c3-948a-9ca6909ddfad\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"7405e22c-4ca3-42fb-a1b3-4392aa21df2d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d0a0a99b-ee2e-4725-a010-e438f0f55084\",\"type\":\"BasicTicker\"}},\"id\":\"6069d78d-0e9d-4064-b5af-b988a5ad029b\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"end\":0.35},\"id\":\"af7b9953-e9d5-411c-a417-78f86065e137\",\"type\":\"Range1d\"},{\"attributes\":{\"axis_label\":\"percent Wind\",\"formatter\":{\"id\":\"dd8cc7a3-d61a-4a04-9672-c13d3fd8f3f8\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c0cc6a09-8f06-417b-ae54-4839da4d42da\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"37f50b8a-867b-4353-86f6-40d41198944d\",\"type\":\"BasicTicker\"}},\"id\":\"713a399f-502f-45b5-96ad-6d3a12e6f7a8\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"da4cf2bc-63f1-4bea-831b-de5a939bb496\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"70be4c97-1742-4798-80a7-5f6c9c3013ab\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"384a5209-6bf4-42f7-b7b9-129ebbe7574b\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"00ae2422-6d31-4eba-98ad-c96819e312d4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"da4cf2bc-63f1-4bea-831b-de5a939bb496\",\"type\":\"BasicTicker\"}},\"id\":\"5339659a-417c-4ace-9ca6-205d8c84d0b5\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"8d188489-702e-40f0-8304-1c4152505f10\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"9f6cf20c-ce76-4247-9c38-e8899e7c4a43\",\"type\":\"ToolEvents\"},{\"attributes\":{\"children\":[{\"id\":\"0473b049-1346-4b8c-a83f-a279d0b04156\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"b5a20ede-ed14-4d46-8f0e-fab22fbe7fc2\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"d4be1081-38f1-4670-ba52-7d3f31d7f455\",\"type\":\"Row\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"caf6226b-b504-41bb-9bc0-1e67a53676e9\",\"type\":\"HoverTool\"}]},\"id\":\"d0d3df52-aecb-4648-a338-ccab3c6703bc\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"3280fe2e-244e-442c-908d-cbee561f94f2\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"8f130557-d76a-4edb-9884-163029687c97\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"c7ac6af7-04c6-4e9d-8f1a-3781aab60da1\",\"type\":\"HoverTool\"},{\"attributes\":{\"axis_label\":\"percent Wind\",\"formatter\":{\"id\":\"e158b5fc-b3a6-4e17-b273-0f0255a6a0dc\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"8f130557-d76a-4edb-9884-163029687c97\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"fcff65e0-5674-4f52-956b-447ad5df573b\",\"type\":\"BasicTicker\"}},\"id\":\"4767c763-c840-440e-b3b6-155d98f8476c\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"b9d61dcb-f792-4f85-beac-439697cef837\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"86bd8a4e-1d68-42ca-8a36-76cb27b7cadb\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"33aa0cc3-8744-40d0-972e-6bfd4ef34ca3\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"0b2bdd4e-f014-46eb-8d85-d53478f9366d\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"25cc046a-6db3-4301-9a37-3fe45135d22c\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data_source\":{\"id\":\"7485cd02-5280-4ac2-ac0a-d623f323d4ec\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"837b07c1-f7a3-4fab-ad2d-43d01749aab7\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"57373a77-9588-4a69-a3a2-9f78feff7e48\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"f3ab33f2-eeb9-4534-8dba-ee414e8f7541\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"axis_label\":\"percent Wind\",\"formatter\":{\"id\":\"a0d164e8-261f-40f5-a7a1-7ee935dd1bd6\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"0473b049-1346-4b8c-a83f-a279d0b04156\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d986acc9-6e6a-4e1c-ac3b-32652945f4b0\",\"type\":\"BasicTicker\"}},\"id\":\"fd67b5e5-2fd9-447a-9c0e-103ddd7035ec\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"00ae2422-6d31-4eba-98ad-c96819e312d4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"63c6e998-64e4-4bb1-91e4-275ae9f94570\",\"type\":\"BasicTicker\"}},\"id\":\"a6eab99f-dcb4-4e94-9cfb-06aba1d83476\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"b224ac07-9db7-4a39-84a3-f6fe7d86f0ea\",\"type\":\"Range1d\"}],\"root_ids\":[\"e5542b78-f077-40a4-bd86-5ce598343b74\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"02e268e6-7640-47d7-9c55-a41ca413ce6f\",\"elementid\":\"10c65735-3f97-462f-82e5-363686305bdc\",\"modelid\":\"e5542b78-f077-40a4-bd86-5ce598343b74\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"10c65735-3f97-462f-82e5-363686305bdc\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_bokeh_plot(gen_index, 'Wind', 'percent Wind', \n",
    "                  'change in norm variability', \n",
    "                  y_range=(-1, 7), x_range=(0, 0.35))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Change in Wind vs Change in norm variability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T11:53:16.192442",
     "start_time": "2017-07-18T11:53:15.664416"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"14ae0d63-604c-47d3-a628-30f6eb641fea\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<div style='background-color: #fdd'>\\n\"+\n",
       "       \"<p>\\n\"+\n",
       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "       \"</p>\\n\"+\n",
       "       \"<ul>\\n\"+\n",
       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "       \"</ul>\\n\"+\n",
       "       \"<code>\\n\"+\n",
       "       \"from bokeh.resources import INLINE\\n\"+\n",
       "       \"output_notebook(resources=INLINE)\\n\"+\n",
       "       \"</code>\\n\"+\n",
       "       \"</div>\"}};\n",
       "  \n",
       "    function display_loaded() {\n",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"14ae0d63-604c-47d3-a628-30f6eb641fea\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        var s = document.createElement('script');\n",
       "        s.src = url;\n",
       "        s.async = false;\n",
       "        s.onreadystatechange = s.onload = function() {\n",
       "          window._bokeh_is_loading--;\n",
       "          if (window._bokeh_is_loading === 0) {\n",
       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"14ae0d63-604c-47d3-a628-30f6eb641fea\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '14ae0d63-604c-47d3-a628-30f6eb641fea' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"a01b5b2b-e593-4c24-90f7-2372c4999100\":{\"roots\":{\"references\":[{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"6462af85-c6e9-40d5-a6f8-b7a73ea6add2\",\"type\":\"Range1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"9e8b6517-cbe5-4644-bdc4-3d717d21ccc7\",\"type\":\"Circle\"},{\"attributes\":{\"below\":[{\"id\":\"adb33b6c-5284-4e0f-8341-06d1263d08e5\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"999b12fb-94fd-467d-90bf-3df7589bc8dc\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"adb33b6c-5284-4e0f-8341-06d1263d08e5\",\"type\":\"LinearAxis\"},{\"id\":\"6a3ec10a-35a3-4a3e-9f47-277381358a58\",\"type\":\"Grid\"},{\"id\":\"999b12fb-94fd-467d-90bf-3df7589bc8dc\",\"type\":\"LinearAxis\"},{\"id\":\"eb82623d-bf8c-46de-b625-8acadd7739dd\",\"type\":\"Grid\"},{\"id\":\"5bea43ab-ec5b-441f-9e86-b7abbfb16f7b\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"5638a990-da88-4656-a738-16f956d0c832\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"3be67dc5-1a3b-4628-b093-bf1c8956c5c7\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"c4d5a3a7-9bdf-4afc-a289-47da45b987b4\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"146390aa-027e-4ac3-bddc-07075f0f7cc5\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"347d5cdf-f8d1-42c1-a30d-310fbca652d1\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"13080cc4-2fa2-4e3c-8c47-e9827d8d844b\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"9654784a-03af-4ff0-a88e-434d3cb63add\",\"type\":\"LinearScale\"}},\"id\":\"b9976a66-86f4-4537-bb56-1f7bbf796308\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":null,\"text\":\"RFC 0.0% to 1.8% Wind\"},\"id\":\"af556079-ff5e-4e0f-9ce6-f54e6da114bf\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"84147a4b-24ff-4a66-9dac-2aa38afa79ed\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"plot\":null,\"text\":\"MRO 1.7% to 17.8% Wind\"},\"id\":\"8ea79903-d8d8-4fca-ba7f-73d7b97121c6\",\"type\":\"Title\"},{\"attributes\":{\"axis_label\":\"change in Wind\",\"formatter\":{\"id\":\"acae93fc-067c-4132-b846-afcb220203fb\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"2d7ab0ac-8074-4f82-af1b-fff5ca8ad6f8\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"70a12d62-1369-47cc-a05f-e8100e545569\",\"type\":\"BasicTicker\"}},\"id\":\"f86f7a89-b200-47dd-a6de-a7853a2ac5a9\",\"type\":\"LinearAxis\"},{\"attributes\":{\"children\":[{\"id\":\"82f9ae7e-0ded-4e3b-91eb-8e4c33e30e67\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"fa241c2e-2354-48c6-9580-a113fecd94ab\",\"type\":\"Row\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"13080cc4-2fa2-4e3c-8c47-e9827d8d844b\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"9dcaca4b-54f2-48dc-9e9f-8226ca125668\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"70a12d62-1369-47cc-a05f-e8100e545569\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"a6a35fa0-35f3-4c0e-b88d-b2ffd5289603\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":null,\"text\":\"SPP 1.1% to 27.0% Wind\"},\"id\":\"5638a990-da88-4656-a738-16f956d0c832\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null},\"id\":\"0e35722d-160c-48c4-88fd-5222ba6416dd\",\"type\":\"DataRange1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"4ebc49ab-eda1-4f7f-a8b1-80fe630e37f3\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"change in Wind\",\"formatter\":{\"id\":\"392e6619-1e31-4344-aa90-c7e912190e08\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"b9976a66-86f4-4537-bb56-1f7bbf796308\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"bbcd0fd4-d8f7-4b78-9906-4dde8d87f95b\",\"type\":\"BasicTicker\"}},\"id\":\"adb33b6c-5284-4e0f-8341-06d1263d08e5\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"c88bd0fe-551e-403c-b168-85b39183474b\",\"type\":\"LinearScale\"},{\"attributes\":{\"below\":[{\"id\":\"f2216399-8fc3-42e1-a611-c020872e2510\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"b9f8de63-dad2-4d82-8e13-238873a5036f\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"f2216399-8fc3-42e1-a611-c020872e2510\",\"type\":\"LinearAxis\"},{\"id\":\"f87ce849-86cc-41fd-b7c7-d0af49b12fc2\",\"type\":\"Grid\"},{\"id\":\"b9f8de63-dad2-4d82-8e13-238873a5036f\",\"type\":\"LinearAxis\"},{\"id\":\"b8fffa9b-b1e2-49a8-83e3-d966d697b0f4\",\"type\":\"Grid\"},{\"id\":\"eb4fbee9-76fc-47d6-9136-0d503eb4f405\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"a266e2e0-3863-43be-acb8-27b553ad88f4\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"839524a1-cf6b-4cfa-a983-f3fe3803ef8d\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"0942b381-98ee-48e1-9bad-df19f91c2c3e\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"49ce63c1-c89c-47e0-a141-8e2619b1586d\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"2001ada6-b737-4a96-98f9-42530b7350d2\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"a0cfb77b-3028-4e76-966e-110fef605d2a\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"217515ff-acaf-4335-972c-dae6d7108e12\",\"type\":\"LinearScale\"}},\"id\":\"bbc1164e-d125-4120-9789-80f209cfda37\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":{\"id\":\"bbc1164e-d125-4120-9789-80f209cfda37\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"b8095e29-6fba-4651-b99d-6840c626da3d\",\"type\":\"BasicTicker\"}},\"id\":\"f87ce849-86cc-41fd-b7c7-d0af49b12fc2\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"e439b1ad-bb19-4461-9673-7906aa0c37b5\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in Wind\",\"formatter\":{\"id\":\"39462c1c-8217-4dfa-8ebe-26f9f13be2ba\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"4d1d7b4f-9756-4155-981e-42c44540df27\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2b189c87-26a9-42be-90a4-f193f3b88aec\",\"type\":\"BasicTicker\"}},\"id\":\"aa6f2310-7da3-4163-a302-2140ed7ce738\",\"type\":\"LinearAxis\"},{\"attributes\":{\"below\":[{\"id\":\"699dd972-e8c7-49f0-a209-aa7bb759c924\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"c244743b-a397-4105-89a4-99c4a05959e9\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"699dd972-e8c7-49f0-a209-aa7bb759c924\",\"type\":\"LinearAxis\"},{\"id\":\"4d4d49ae-7c3c-4924-97ae-dd8d8eb345ea\",\"type\":\"Grid\"},{\"id\":\"c244743b-a397-4105-89a4-99c4a05959e9\",\"type\":\"LinearAxis\"},{\"id\":\"9761db89-fb3b-4863-964c-fa393c493962\",\"type\":\"Grid\"},{\"id\":\"75e04e6b-c7cf-4d98-8767-5195c7562293\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"0b118d10-236a-41cd-b5d4-11adf3a3dacd\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"89bd2f43-327d-4e61-a6a6-6dce7701e395\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"7ce1220d-10e4-41c5-ac3b-e3238da77cb5\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"c49382b5-584b-48c3-9795-c3b640143612\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"ebf42219-c3c9-4909-8bd9-13b256422526\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"4a633f67-749e-4a46-a640-c4bf127d48e7\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"e653bf09-cd8d-4630-a6f0-f98745297841\",\"type\":\"LinearScale\"}},\"id\":\"82f9ae7e-0ded-4e3b-91eb-8e4c33e30e67\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis_label\":\"change in Wind\",\"formatter\":{\"id\":\"f487416b-5bcb-4584-bf79-7d439d4bc210\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"82f9ae7e-0ded-4e3b-91eb-8e4c33e30e67\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"792de530-489a-4154-8174-5b0aff283515\",\"type\":\"BasicTicker\"}},\"id\":\"699dd972-e8c7-49f0-a209-aa7bb759c924\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"39462c1c-8217-4dfa-8ebe-26f9f13be2ba\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"d9efcbd7-4077-4f4d-888b-374354fb4719\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"3be67dc5-1a3b-4628-b093-bf1c8956c5c7\",\"type\":\"ToolEvents\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"AACA5vR4bEIAAACL6YxsQgAAAM3vnmxCAACAceSybEIAAIBKNMZsQgAAAO8o2mxCAAAAyHjtbEIAAIBsbQFtQgAAABFiFW1CAAAA6rEobUIAAICOpjxtQgAAgGf2T21CAAAADOtjbUIAAICw33dtQgAAgPLliW1CAAAAl9qdbUIAAABwKrFtQgAAgBQfxW1CAACA7W7YbUIAAACSY+xtQgAAgDZYAG5CAACAD6gTbkIAAAC0nCduQgAAAI3sOm5CAACAMeFObkIAAADW1WJuQgAAABjcdG5CAACAvNCIbkIAAICVIJxuQgAAADoVsG5CAAAAE2XDbkIAAIC3WdduQgAAAFxO625CAAAANZ7+bkIAAIDZkhJvQgAAgLLiJW9CAAAAV9c5b0IAAID7y01vQgAAAAl3YG9CAACArWt0b0IAAICGu4dvQgAAACuwm29CAAAABACvb0IAAICo9MJvQgAAAE3p1m9CAAAAJjnqb0IAAIDKLf5vQgAAwNG+CHBCAAAAJLkScEIAAEB2sxxwQgAAQJe2JXBCAACA6bAvcEIAAADWWDlwQgAAQChTQ3BCAADAFPtMcEIAAABn9VZwQgAAQLnvYHBCAADApZdqcEIAAAD4kXRwQgAAgOQ5fnBCAADANjSIcEIAAACJLpJwQgAAAKoxm3BCAABA/CulcEIAAMDo065wQgAAADvOuHBCAACAJ3bCcEIAAMB5cMxwQgAAAMxq1nBCAACAuBLgcEIAAMAKDepwQgAAQPe083BCAACASa/9cEIAAMCbqQdxQgAAwLysEHFCAAAAD6cacUIAAID7TiRxQgAAwE1JLnFCAABAOvE3cUIAAICM60FxQgAAwN7lS3FCAABAy41VcUIAAIAdiF9xQgAAAAowaXFCAABAXCpzcUIAAICuJH1xQgAAQDV6hnFCAACAh3SQcUIAAAB0HJpxQgAAQMYWpHFCAADAsr6tcUIAAAAFubdxQgAAQFezwXFCAADAQ1vLcUIAAACWVdVxQgAAgIL93nFCAADA1PfocUIAAAAn8vJxQgAAAEj1+3FCAABAmu8FckIAAMCGlw9yQgAAANmRGXJCAACAxTkjckIAAMAXNC1yQgAAAGouN3JCAACAVtZAckIAAMCo0EpyQgAAQJV4VHJCAACA53JeckIAAMA5bWhyQgAAwFpwcXJCAAAArWp7ckIAAICZEoVyQgAAwOsMj3JCAABA2LSYckIAAIAqr6JyQgAAwHyprHJCAABAaVG2ckIAAIC7S8ByQgAAAKjzyXJCAABA+u3TckIAAIBM6N1yQgAAgG3r5nJCAADAv+XwckIAAECsjfpyQgAAgP6HBHNCAAAA6y8Oc0IAAEA9KhhzQgAAgI8kInNCAAAAfMwrc0IAAEDOxjVzQgAAwLpuP3NCAAAADWlJc0IAAEBfY1NzQgAAAOa4XHNCAABAOLNmc0IAAMAkW3BzQgAAAHdVenNCAACAY/2Dc0IAAMC1941zQgAAAAjyl3NCAACA9Jmhc0IAAMBGlKtzQgAAQDM8tXNCAACAhTa/c0IAAMDXMMlzQgAAwPgz0nNCAAAASy7cc0IAAIA31uVzQgAAwInQ73NCAABAdnj5c0IAAIDIcgN0QgAAwBptDXRCAABABxUXdEIAAIBZDyF0QgAAAEa3KnRCAABAmLE0dEIAAIDqqz50QgAAgAuvR3RCAADAXalRdEIAAEBKUVt0QgAAgJxLZXRCAAAAifNudEIAAEDb7Xh0QgAAgC3ognRCAAAAGpCMdEIAAEBsipZ0QgAAwFgyoHRCAAAAqyyqdEIAAED9JrR0QgAAQB4qvXRCAACAcCTHdEIAAABdzNB0QgAAQK/G2nRCAADAm27kdEIAAADuaO50QgAAQEBj+HRCAADALAsCdUIAAAB/BQx1QgAAgGutFXVCAADAvacfdUIAAAAQoil1QgAAwJb3MnVCAAAA6fE8dUIAAIDVmUZ1QgAAwCeUUHVCAABAFDxadUIAAIBmNmR1QgAAwLgwbnVCAABApdh3dUIAAID30oF1QgAAAOR6i3VCAABANnWVdUIAAICIb591QgAAgKlyqHVC\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"9b8224e1-d49e-4e5d-982c-066fb3ebe852\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"629067e2-2a32-4b6c-b11d-441cfb5001a0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"7479ae52-7bf7-430c-bf7e-501f2d976622\",\"type\":\"HoverTool\"},{\"attributes\":{\"sizing_mode\":\"scale_width\",\"toolbar_location\":\"above\",\"tools\":[{\"id\":\"7479ae52-7bf7-430c-bf7e-501f2d976622\",\"type\":\"HoverTool\"},{\"id\":\"4be55521-ff68-46f1-9e4e-0cc33a041f5a\",\"type\":\"HoverTool\"},{\"id\":\"cf8aa798-ac8f-4501-9b37-3e8758c294d8\",\"type\":\"HoverTool\"},{\"id\":\"e5b4542a-5b73-4fdd-b464-58d1344fc7ad\",\"type\":\"HoverTool\"},{\"id\":\"97708795-c133-4f97-9129-b307d9af2fa9\",\"type\":\"HoverTool\"},{\"id\":\"e13b844d-b223-4dcc-8a29-efed52554293\",\"type\":\"HoverTool\"},{\"id\":\"91d92f4d-11be-4389-86cc-ed958edcff94\",\"type\":\"HoverTool\"}]},\"id\":\"4bbeeb75-071f-4601-8fc2-aa02d280b6de\",\"type\":\"ToolbarBox\"},{\"attributes\":{},\"id\":\"6d705481-1d3c-4fbe-ad86-be9eed11970b\",\"type\":\"ToolEvents\"},{\"attributes\":{\"below\":[{\"id\":\"a7b79eb6-89dd-4721-aed2-1726d10d23e1\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"35504ff4-8604-4b13-9b6b-bb73d6a24614\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"a7b79eb6-89dd-4721-aed2-1726d10d23e1\",\"type\":\"LinearAxis\"},{\"id\":\"3f9489d0-3448-4f06-9a43-c6fc87d263b0\",\"type\":\"Grid\"},{\"id\":\"35504ff4-8604-4b13-9b6b-bb73d6a24614\",\"type\":\"LinearAxis\"},{\"id\":\"09a5603e-992c-46bf-bcc4-0febf4b045bf\",\"type\":\"Grid\"},{\"id\":\"8a92ddbe-d04c-46aa-96f5-573dbf82d06f\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"af556079-ff5e-4e0f-9ce6-f54e6da114bf\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"753cc99e-ad6d-4918-a428-d561176c1d4f\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"cf303fe2-3ec9-4e27-9bb6-af8947775ae8\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"5bbd1bf2-fe31-4026-81f1-bc5d630b7755\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"9afee269-1df0-4aa9-ac98-2940f91e4ff7\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"38898e50-95d3-4eb3-951e-ced634e2cd82\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"7e081042-4375-4e8f-9aea-68f610318cc7\",\"type\":\"LinearScale\"}},\"id\":\"5ad1d442-261a-432e-b6e3-5e100b8a3b73\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"ff76928a-591a-4a6e-8226-720f771801f3\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"792de530-489a-4154-8174-5b0aff283515\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"fe5d5029-2866-4aa1-8221-1f01b3c2b824\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"b51db4d9-e726-4dce-b348-5bf240e40ed5\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"984c407b-1f4f-47df-a570-201c101a6e9f\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"629067e2-2a32-4b6c-b11d-441cfb5001a0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"606722aa-81a8-4158-8b1a-39a82359d207\",\"type\":\"BasicTicker\"}},\"id\":\"0bac4336-f018-4c4b-8be6-75e456c5c383\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in Wind\",\"formatter\":{\"id\":\"bb5f32fc-0f0d-4be1-b569-cadebdeb40aa\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"5ad1d442-261a-432e-b6e3-5e100b8a3b73\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9dcaca4b-54f2-48dc-9e9f-8226ca125668\",\"type\":\"BasicTicker\"}},\"id\":\"a7b79eb6-89dd-4721-aed2-1726d10d23e1\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"change in Wind\",\"formatter\":{\"id\":\"9b954915-04f3-40c8-bacf-88fd96b8aa3d\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"629067e2-2a32-4b6c-b11d-441cfb5001a0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"111a816b-a222-4bfc-9dae-dd6014b45550\",\"type\":\"BasicTicker\"}},\"id\":\"7e665d49-5db8-4ce1-9cd1-e0f06419d5f6\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null},\"id\":\"5f6353da-078b-4c8b-84ca-0163a14a04eb\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null},\"id\":\"6dcb1976-816b-464b-adef-d4bb32c0cb57\",\"type\":\"DataRange1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"7622e37f-4206-42fa-90ba-ee0fab69600b\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"f885fe52-c498-479c-90e8-c962b9feac7e\",\"type\":\"Circle\"},{\"attributes\":{\"below\":[{\"id\":\"f86f7a89-b200-47dd-a6de-a7853a2ac5a9\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"6e139924-03fc-4359-9e33-254cc694cf92\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"f86f7a89-b200-47dd-a6de-a7853a2ac5a9\",\"type\":\"LinearAxis\"},{\"id\":\"aa80001d-eebb-41b7-87d5-08bc9c5dcf78\",\"type\":\"Grid\"},{\"id\":\"6e139924-03fc-4359-9e33-254cc694cf92\",\"type\":\"LinearAxis\"},{\"id\":\"741e50ea-c3a2-4749-acbc-f439f9da2703\",\"type\":\"Grid\"},{\"id\":\"674ae0da-79ac-44b1-82cf-9bde8f8e71f4\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"cd104616-3435-4c8e-b456-6353e41d67bd\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"82797ded-4fcf-4dab-a990-8969b924e0c8\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"b303cbb9-59a2-47d5-ae9c-e58fab6fbe3e\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"0e35722d-160c-48c4-88fd-5222ba6416dd\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"f6e3e7cd-54ed-44d9-8b8f-1cf92d0f1801\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"6462af85-c6e9-40d5-a6f8-b7a73ea6add2\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"e439b1ad-bb19-4461-9673-7906aa0c37b5\",\"type\":\"LinearScale\"}},\"id\":\"2d7ab0ac-8074-4f82-af1b-fff5ca8ad6f8\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"ebf42219-c3c9-4909-8bd9-13b256422526\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"44129392-e9b9-4d5d-b60f-5ebe0871c92a\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"217515ff-acaf-4335-972c-dae6d7108e12\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"bb5f32fc-0f0d-4be1-b569-cadebdeb40aa\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":{\"id\":\"b9976a66-86f4-4537-bb56-1f7bbf796308\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"bbcd0fd4-d8f7-4b78-9906-4dde8d87f95b\",\"type\":\"BasicTicker\"}},\"id\":\"6a3ec10a-35a3-4a3e-9f47-277381358a58\",\"type\":\"Grid\"},{\"attributes\":{\"children\":[{\"id\":\"61c4bd8c-fa14-4efa-9f77-7444fe9933f1\",\"type\":\"Row\"},{\"id\":\"15827773-3f8d-4895-b567-8ac5aa94885c\",\"type\":\"Row\"},{\"id\":\"fa241c2e-2354-48c6-9580-a113fecd94ab\",\"type\":\"Row\"}]},\"id\":\"e3a0ea0d-2b8a-4eda-be5a-c84c71f7f3fe\",\"type\":\"Column\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"617ba604-26f2-4817-8d13-509c9b2422cd\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"629067e2-2a32-4b6c-b11d-441cfb5001a0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"606722aa-81a8-4158-8b1a-39a82359d207\",\"type\":\"BasicTicker\"}},\"id\":\"e193843a-ec1f-47b4-aa44-347c453f5970\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"4d1d7b4f-9756-4155-981e-42c44540df27\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"e13b844d-b223-4dcc-8a29-efed52554293\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"cf4697a4-c32b-467a-af00-aef2a86d0dc3\",\"type\":\"LinearScale\"},{\"attributes\":{\"children\":[{\"id\":\"629067e2-2a32-4b6c-b11d-441cfb5001a0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"2d7ab0ac-8074-4f82-af1b-fff5ca8ad6f8\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"bbc1164e-d125-4120-9789-80f209cfda37\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"61c4bd8c-fa14-4efa-9f77-7444fe9933f1\",\"type\":\"Row\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"99687989-70b6-474f-9a5d-503f199aeb18\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"bbc1164e-d125-4120-9789-80f209cfda37\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"cf8aa798-ac8f-4501-9b37-3e8758c294d8\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null},\"id\":\"c49382b5-584b-48c3-9795-c3b640143612\",\"type\":\"DataRange1d\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"7479ae52-7bf7-430c-bf7e-501f2d976622\",\"type\":\"HoverTool\"}]},\"id\":\"6a3bf543-ac01-4293-90cb-fdc0adb14272\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"111a816b-a222-4bfc-9dae-dd6014b45550\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"83bfe207-66cb-4201-81b6-303e407acd65\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":{\"id\":\"82f9ae7e-0ded-4e3b-91eb-8e4c33e30e67\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"792de530-489a-4154-8174-5b0aff283515\",\"type\":\"BasicTicker\"}},\"id\":\"4d4d49ae-7c3c-4924-97ae-dd8d8eb345ea\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"984c407b-1f4f-47df-a570-201c101a6e9f\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"b9976a66-86f4-4537-bb56-1f7bbf796308\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"708b7e55-7774-4a91-8a01-a20beebdfe59\",\"type\":\"BasicTicker\"}},\"id\":\"999b12fb-94fd-467d-90bf-3df7589bc8dc\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"cb2db4d5-b796-4074-b349-e8e06d20c533\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"82f9ae7e-0ded-4e3b-91eb-8e4c33e30e67\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a79d4331-6a74-45db-b807-67797d62256b\",\"type\":\"BasicTicker\"}},\"id\":\"9761db89-fb3b-4863-964c-fa393c493962\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"4a633f67-749e-4a46-a640-c4bf127d48e7\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"f6e3e7cd-54ed-44d9-8b8f-1cf92d0f1801\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"34fbed5c-148f-43ab-ab51-a01a29623e48\",\"type\":\"Range1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"aca9c3b6-3d7d-4be4-b8fb-44452cb712d8\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"f487416b-5bcb-4584-bf79-7d439d4bc210\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"7445ca03-fc55-440f-a71e-c63c1f88b7a5\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"2d7ab0ac-8074-4f82-af1b-fff5ca8ad6f8\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"fe5d5029-2866-4aa1-8221-1f01b3c2b824\",\"type\":\"BasicTicker\"}},\"id\":\"6e139924-03fc-4359-9e33-254cc694cf92\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"b8095e29-6fba-4651-b99d-6840c626da3d\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"9afee269-1df0-4aa9-ac98-2940f91e4ff7\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":{\"id\":\"4d1d7b4f-9756-4155-981e-42c44540df27\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2b189c87-26a9-42be-90a4-f193f3b88aec\",\"type\":\"BasicTicker\"}},\"id\":\"b8acfba6-2afa-41a9-862f-d40b77f994f9\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"a0cfb77b-3028-4e76-966e-110fef605d2a\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"89bd2f43-327d-4e61-a6a6-6dce7701e395\",\"type\":\"ToolEvents\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"97708795-c133-4f97-9129-b307d9af2fa9\",\"type\":\"HoverTool\"}]},\"id\":\"c4d5a3a7-9bdf-4afc-a289-47da45b987b4\",\"type\":\"Toolbar\"},{\"attributes\":{\"data_source\":{\"id\":\"4b031d85-e915-4b97-a5fc-cad8fb294665\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"4ebc49ab-eda1-4f7f-a8b1-80fe630e37f3\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"99687989-70b6-474f-9a5d-503f199aeb18\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"2c527413-96ec-4256-94e4-73d044f9d012\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"children\":[{\"id\":\"5ad1d442-261a-432e-b6e3-5e100b8a3b73\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"b9976a66-86f4-4537-bb56-1f7bbf796308\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"4d1d7b4f-9756-4155-981e-42c44540df27\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"15827773-3f8d-4895-b567-8ac5aa94885c\",\"type\":\"Row\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"bbc1164e-d125-4120-9789-80f209cfda37\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"205baa40-03a9-42f0-863f-eb4ba7c5076f\",\"type\":\"BasicTicker\"}},\"id\":\"b8fffa9b-b1e2-49a8-83e3-d966d697b0f4\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"cb8fd0b9-7120-4f52-9db2-734a32fcb9d9\",\"type\":\"Circle\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"cf8aa798-ac8f-4501-9b37-3e8758c294d8\",\"type\":\"HoverTool\"}]},\"id\":\"0942b381-98ee-48e1-9bad-df19f91c2c3e\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"38898e50-95d3-4eb3-951e-ced634e2cd82\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"deb21d56-7e35-43fa-a22f-6037c5655d01\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"7445ca03-fc55-440f-a71e-c63c1f88b7a5\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"839524a1-cf6b-4cfa-a983-f3fe3803ef8d\",\"type\":\"ToolEvents\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"e5b4542a-5b73-4fdd-b464-58d1344fc7ad\",\"type\":\"HoverTool\"}]},\"id\":\"cf303fe2-3ec9-4e27-9bb6-af8947775ae8\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"4b031d85-e915-4b97-a5fc-cad8fb294665\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data_source\":{\"id\":\"9b8224e1-d49e-4e5d-982c-066fb3ebe852\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"aca9c3b6-3d7d-4be4-b8fb-44452cb712d8\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"9e8b6517-cbe5-4644-bdc4-3d717d21ccc7\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"8a92ddbe-d04c-46aa-96f5-573dbf82d06f\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"91d92f4d-11be-4389-86cc-ed958edcff94\",\"type\":\"HoverTool\"}]},\"id\":\"7ce1220d-10e4-41c5-ac3b-e3238da77cb5\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"7e081042-4375-4e8f-9aea-68f610318cc7\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"b51db4d9-e726-4dce-b348-5bf240e40ed5\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"e6c9345c-1368-4373-85d0-8bd11cdbc3b5\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"cb8fd0b9-7120-4f52-9db2-734a32fcb9d9\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"eb4fbee9-76fc-47d6-9136-0d503eb4f405\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null},\"id\":\"5bbd1bf2-fe31-4026-81f1-bc5d630b7755\",\"type\":\"DataRange1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"5741e453-339f-43c0-9d5d-9b7e180ad99c\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"590e3b63-e55e-4f3a-98c1-2d23ce41c093\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"347d5cdf-f8d1-42c1-a30d-310fbca652d1\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"753cc99e-ad6d-4918-a428-d561176c1d4f\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"9654784a-03af-4ff0-a88e-434d3cb63add\",\"type\":\"LinearScale\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"2d7ab0ac-8074-4f82-af1b-fff5ca8ad6f8\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"fe5d5029-2866-4aa1-8221-1f01b3c2b824\",\"type\":\"BasicTicker\"}},\"id\":\"741e50ea-c3a2-4749-acbc-f439f9da2703\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"51933f85-3435-4ca7-b3bc-64a269fd277b\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"927d1f11-f83e-43f2-bd75-c3208bff39d5\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data_source\":{\"id\":\"84147a4b-24ff-4a66-9dac-2aa38afa79ed\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"20b8a005-0db3-47c8-89a9-1e2c3843f882\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"d46667ce-0276-4a71-aacc-a31e2077dc6a\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"674ae0da-79ac-44b1-82cf-9bde8f8e71f4\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"a79d4331-6a74-45db-b807-67797d62256b\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"617ba604-26f2-4817-8d13-509c9b2422cd\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"below\":[{\"id\":\"7e665d49-5db8-4ce1-9cd1-e0f06419d5f6\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"e193843a-ec1f-47b4-aa44-347c453f5970\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"7e665d49-5db8-4ce1-9cd1-e0f06419d5f6\",\"type\":\"LinearAxis\"},{\"id\":\"0c32dcfe-3e39-425b-89f3-fc177ff1b3ff\",\"type\":\"Grid\"},{\"id\":\"e193843a-ec1f-47b4-aa44-347c453f5970\",\"type\":\"LinearAxis\"},{\"id\":\"0bac4336-f018-4c4b-8be6-75e456c5c383\",\"type\":\"Grid\"},{\"id\":\"b00c6d2e-0592-47d7-b53c-88d032ae5f5c\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"64b827e6-5475-45cd-ab62-48be9ffb4308\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"590e3b63-e55e-4f3a-98c1-2d23ce41c093\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"6a3bf543-ac01-4293-90cb-fdc0adb14272\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"5f6353da-078b-4c8b-84ca-0163a14a04eb\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"c88bd0fe-551e-403c-b168-85b39183474b\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"34fbed5c-148f-43ab-ab51-a01a29623e48\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"cf4697a4-c32b-467a-af00-aef2a86d0dc3\",\"type\":\"LinearScale\"}},\"id\":\"629067e2-2a32-4b6c-b11d-441cfb5001a0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"2b189c87-26a9-42be-90a4-f193f3b88aec\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"2d7ab0ac-8074-4f82-af1b-fff5ca8ad6f8\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"4be55521-ff68-46f1-9e4e-0cc33a041f5a\",\"type\":\"HoverTool\"},{\"attributes\":{\"plot\":null,\"text\":\"WECC 1.1% to 7.0% Wind\"},\"id\":\"a266e2e0-3863-43be-acb8-27b553ad88f4\",\"type\":\"Title\"},{\"attributes\":{\"plot\":{\"id\":\"5ad1d442-261a-432e-b6e3-5e100b8a3b73\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9dcaca4b-54f2-48dc-9e9f-8226ca125668\",\"type\":\"BasicTicker\"}},\"id\":\"3f9489d0-3448-4f06-9a43-c6fc87d263b0\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e6c9345c-1368-4373-85d0-8bd11cdbc3b5\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"130e23ab-e929-4e28-b396-36b0f372c956\",\"type\":\"BasicTicker\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"4be55521-ff68-46f1-9e4e-0cc33a041f5a\",\"type\":\"HoverTool\"}]},\"id\":\"b303cbb9-59a2-47d5-ae9c-e58fab6fbe3e\",\"type\":\"Toolbar\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"51933f85-3435-4ca7-b3bc-64a269fd277b\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"82f9ae7e-0ded-4e3b-91eb-8e4c33e30e67\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a79d4331-6a74-45db-b807-67797d62256b\",\"type\":\"BasicTicker\"}},\"id\":\"c244743b-a397-4105-89a4-99c4a05959e9\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"205baa40-03a9-42f0-863f-eb4ba7c5076f\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"0dc3efbc-9449-4a92-af98-f28e8336db25\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"below\":[{\"id\":\"aa6f2310-7da3-4163-a302-2140ed7ce738\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"c7d5cb91-e581-4733-92b8-9a6fa74a7ccb\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"aa6f2310-7da3-4163-a302-2140ed7ce738\",\"type\":\"LinearAxis\"},{\"id\":\"b8acfba6-2afa-41a9-862f-d40b77f994f9\",\"type\":\"Grid\"},{\"id\":\"c7d5cb91-e581-4733-92b8-9a6fa74a7ccb\",\"type\":\"LinearAxis\"},{\"id\":\"c8ec5964-2bfa-4370-87dc-b492920934f7\",\"type\":\"Grid\"},{\"id\":\"2c527413-96ec-4256-94e4-73d044f9d012\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"8ea79903-d8d8-4fca-ba7f-73d7b97121c6\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"6d705481-1d3c-4fbe-ad86-be9eed11970b\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"79bda40e-1370-4815-ad14-2e9ebe38054b\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"6dcb1976-816b-464b-adef-d4bb32c0cb57\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"a6a35fa0-35f3-4c0e-b88d-b2ffd5289603\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"deb21d56-7e35-43fa-a22f-6037c5655d01\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"d9efcbd7-4077-4f4d-888b-374354fb4719\",\"type\":\"LinearScale\"}},\"id\":\"4d1d7b4f-9756-4155-981e-42c44540df27\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"a7e2248b-2126-4f68-ada7-d9d4657a9f97\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"bbcd0fd4-d8f7-4b78-9906-4dde8d87f95b\",\"type\":\"BasicTicker\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"e13b844d-b223-4dcc-8a29-efed52554293\",\"type\":\"HoverTool\"}]},\"id\":\"79bda40e-1370-4815-ad14-2e9ebe38054b\",\"type\":\"Toolbar\"},{\"attributes\":{\"plot\":{\"id\":\"629067e2-2a32-4b6c-b11d-441cfb5001a0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"111a816b-a222-4bfc-9dae-dd6014b45550\",\"type\":\"BasicTicker\"}},\"id\":\"0c32dcfe-3e39-425b-89f3-fc177ff1b3ff\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"44129392-e9b9-4d5d-b60f-5ebe0871c92a\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"bbc1164e-d125-4120-9789-80f209cfda37\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"205baa40-03a9-42f0-863f-eb4ba7c5076f\",\"type\":\"BasicTicker\"}},\"id\":\"b9f8de63-dad2-4d82-8e13-238873a5036f\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"392e6619-1e31-4344-aa90-c7e912190e08\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"5ad1d442-261a-432e-b6e3-5e100b8a3b73\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"130e23ab-e929-4e28-b396-36b0f372c956\",\"type\":\"BasicTicker\"}},\"id\":\"09a5603e-992c-46bf-bcc4-0febf4b045bf\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":{\"id\":\"2d7ab0ac-8074-4f82-af1b-fff5ca8ad6f8\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"70a12d62-1369-47cc-a05f-e8100e545569\",\"type\":\"BasicTicker\"}},\"id\":\"aa80001d-eebb-41b7-87d5-08bc9c5dcf78\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null},\"id\":\"49ce63c1-c89c-47e0-a141-8e2619b1586d\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"2001ada6-b737-4a96-98f9-42530b7350d2\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"708b7e55-7774-4a91-8a01-a20beebdfe59\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"0dc3efbc-9449-4a92-af98-f28e8336db25\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"83bfe207-66cb-4201-81b6-303e407acd65\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"7622e37f-4206-42fa-90ba-ee0fab69600b\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"5bea43ab-ec5b-441f-9e86-b7abbfb16f7b\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"927d1f11-f83e-43f2-bd75-c3208bff39d5\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"5ad1d442-261a-432e-b6e3-5e100b8a3b73\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"130e23ab-e929-4e28-b396-36b0f372c956\",\"type\":\"BasicTicker\"}},\"id\":\"35504ff4-8604-4b13-9b6b-bb73d6a24614\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"d46667ce-0276-4a71-aacc-a31e2077dc6a\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":null,\"text\":\"SERC 0.0% to 1.1% Wind\"},\"id\":\"0b118d10-236a-41cd-b5d4-11adf3a3dacd\",\"type\":\"Title\"},{\"attributes\":{\"plot\":null,\"text\":\"NPCC 0.0% to 2.7% Wind\"},\"id\":\"64b827e6-5475-45cd-ab62-48be9ffb4308\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"5ad1d442-261a-432e-b6e3-5e100b8a3b73\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"e5b4542a-5b73-4fdd-b464-58d1344fc7ad\",\"type\":\"HoverTool\"},{\"attributes\":{\"children\":[{\"id\":\"4bbeeb75-071f-4601-8fc2-aa02d280b6de\",\"type\":\"ToolbarBox\"},{\"id\":\"e3a0ea0d-2b8a-4eda-be5a-c84c71f7f3fe\",\"type\":\"Column\"}]},\"id\":\"fdfcc89a-40a8-4f53-b700-0e6d4c0852b8\",\"type\":\"Column\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"82f9ae7e-0ded-4e3b-91eb-8e4c33e30e67\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"91d92f4d-11be-4389-86cc-ed958edcff94\",\"type\":\"HoverTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"20b8a005-0db3-47c8-89a9-1e2c3843f882\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"change in Wind\",\"formatter\":{\"id\":\"aed641b0-b809-406b-ae68-c2ab24ad8963\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"bbc1164e-d125-4120-9789-80f209cfda37\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"b8095e29-6fba-4651-b99d-6840c626da3d\",\"type\":\"BasicTicker\"}},\"id\":\"f2216399-8fc3-42e1-a611-c020872e2510\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"acae93fc-067c-4132-b846-afcb220203fb\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"5d5dcb7d-3f73-48d3-a6bf-db3cd5c74673\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"82797ded-4fcf-4dab-a990-8969b924e0c8\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"2fc67b5b-07ad-46ab-a301-fee12fa92449\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data_source\":{\"id\":\"ff76928a-591a-4a6e-8226-720f771801f3\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"a7e2248b-2126-4f68-ada7-d9d4657a9f97\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"5d5dcb7d-3f73-48d3-a6bf-db3cd5c74673\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"b00c6d2e-0592-47d7-b53c-88d032ae5f5c\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"b1d0d8d4-0463-425f-ac0a-d27e80f36026\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"e653bf09-cd8d-4630-a6f0-f98745297841\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"9b954915-04f3-40c8-bacf-88fd96b8aa3d\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"2fc67b5b-07ad-46ab-a301-fee12fa92449\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"4d1d7b4f-9756-4155-981e-42c44540df27\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"cb2db4d5-b796-4074-b349-e8e06d20c533\",\"type\":\"BasicTicker\"}},\"id\":\"c7d5cb91-e581-4733-92b8-9a6fa74a7ccb\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"aed641b0-b809-406b-ae68-c2ab24ad8963\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":null,\"text\":\"ERCOT 1.1% to 12.6% Wind\"},\"id\":\"cd104616-3435-4c8e-b456-6353e41d67bd\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null},\"id\":\"146390aa-027e-4ac3-bddc-07075f0f7cc5\",\"type\":\"DataRange1d\"},{\"attributes\":{\"data_source\":{\"id\":\"b1d0d8d4-0463-425f-ac0a-d27e80f36026\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"5741e453-339f-43c0-9d5d-9b7e180ad99c\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"f885fe52-c498-479c-90e8-c962b9feac7e\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"75e04e6b-c7cf-4d98-8767-5195c7562293\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"b9976a66-86f4-4537-bb56-1f7bbf796308\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"97708795-c133-4f97-9129-b307d9af2fa9\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"606722aa-81a8-4158-8b1a-39a82359d207\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"4d1d7b4f-9756-4155-981e-42c44540df27\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"cb2db4d5-b796-4074-b349-e8e06d20c533\",\"type\":\"BasicTicker\"}},\"id\":\"c8ec5964-2bfa-4370-87dc-b492920934f7\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"b9976a66-86f4-4537-bb56-1f7bbf796308\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"708b7e55-7774-4a91-8a01-a20beebdfe59\",\"type\":\"BasicTicker\"}},\"id\":\"eb82623d-bf8c-46de-b625-8acadd7739dd\",\"type\":\"Grid\"}],\"root_ids\":[\"fdfcc89a-40a8-4f53-b700-0e6d4c0852b8\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"a01b5b2b-e593-4c24-90f7-2372c4999100\",\"elementid\":\"14ae0d63-604c-47d3-a628-30f6eb641fea\",\"modelid\":\"fdfcc89a-40a8-4f53-b700-0e6d4c0852b8\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"14ae0d63-604c-47d3-a628-30f6eb641fea\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_bokeh_plot(gen_index, 'Wind', 'change in Wind', \n",
    "                  'change in norm variability', y_range=(-1, 7))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Natural gas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Percent Natural Gas vs Change in norm variability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T11:53:27.434918",
     "start_time": "2017-07-18T11:53:26.899170"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"a9d9b3dd-2a91-4fa8-95c2-b95c928b3c93\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<div style='background-color: #fdd'>\\n\"+\n",
       "       \"<p>\\n\"+\n",
       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "       \"</p>\\n\"+\n",
       "       \"<ul>\\n\"+\n",
       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "       \"</ul>\\n\"+\n",
       "       \"<code>\\n\"+\n",
       "       \"from bokeh.resources import INLINE\\n\"+\n",
       "       \"output_notebook(resources=INLINE)\\n\"+\n",
       "       \"</code>\\n\"+\n",
       "       \"</div>\"}};\n",
       "  \n",
       "    function display_loaded() {\n",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"a9d9b3dd-2a91-4fa8-95c2-b95c928b3c93\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        var s = document.createElement('script');\n",
       "        s.src = url;\n",
       "        s.async = false;\n",
       "        s.onreadystatechange = s.onload = function() {\n",
       "          window._bokeh_is_loading--;\n",
       "          if (window._bokeh_is_loading === 0) {\n",
       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"a9d9b3dd-2a91-4fa8-95c2-b95c928b3c93\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'a9d9b3dd-2a91-4fa8-95c2-b95c928b3c93' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"bc16a319-b760-4d55-bc1c-25817127f410\":{\"roots\":{\"references\":[{\"attributes\":{\"axis_label\":\"percent Natural Gas\",\"formatter\":{\"id\":\"c8e86052-4608-4a8e-aab5-7ba191f74a19\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"984a2157-b993-480a-87b1-07e571724ec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"ced5e6e5-2787-4222-9662-ef073552a707\",\"type\":\"BasicTicker\"}},\"id\":\"7ca4ef3a-5aa8-4170-96e0-339352caa9ba\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"fc49080d-2e37-4289-bbd4-1aec16962569\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":0.75},\"id\":\"2e958121-8778-4a6f-a05f-4948ea3dabfd\",\"type\":\"Range1d\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"a444c562-66ab-4968-ab27-5b2909c67085\",\"type\":\"HoverTool\"}]},\"id\":\"ccef8a15-209f-4b37-82e7-fc0b55fbe64b\",\"type\":\"Toolbar\"},{\"attributes\":{\"plot\":null,\"text\":\"NPCC 29.1% to 45.3% Natural Gas\"},\"id\":\"0650ac32-0cae-4a1b-bc07-8e365ac76c96\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"5241ce7d-e3b5-4c61-8cc1-9290704b783f\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"e107fa3f-237c-4cf3-bda4-1f223742b80f\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"cbe5c46f-ab56-4a2a-ab92-77b3656713e3\",\"type\":\"LinearScale\"},{\"attributes\":{\"children\":[{\"id\":\"4c58089a-c8db-4d78-b751-439f400c5904\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"4f36cd31-6168-4c2f-b471-55b1b75a703d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"2bf54a96-7667-478c-8e4c-6d5c72d2adf4\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"8a34de47-0824-41ce-95fc-25369919b13d\",\"type\":\"Row\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"984a2157-b993-480a-87b1-07e571724ec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8260d6fa-9e06-4ee2-b06a-1f313bcfe59a\",\"type\":\"BasicTicker\"}},\"id\":\"62c9c05b-5f1d-4783-a53a-b0e4c0f1ffa0\",\"type\":\"Grid\"},{\"attributes\":{\"children\":[{\"id\":\"3927c94c-eef2-4e56-aee9-1c1500fea92c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"27cf419c-7ce2-4837-ad81-b7960846f9ec\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"eb89a8d8-4640-4997-b33c-8bf6bbd8e1b6\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"a6c54290-2c46-49c6-b945-c0eba98045d1\",\"type\":\"Row\"},{\"attributes\":{\"axis_label\":\"percent Natural Gas\",\"formatter\":{\"id\":\"490c0404-fcbd-4fee-b8a2-3596bd11f4a9\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"eb89a8d8-4640-4997-b33c-8bf6bbd8e1b6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6c92ae51-2db1-48b7-8104-a014e6b5b694\",\"type\":\"BasicTicker\"}},\"id\":\"fe89d458-db9c-4c64-a809-762450247bac\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"55b196a6-3718-4ed0-9ff4-02eb9cc01cb3\",\"type\":\"ToolEvents\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"ae6620a8-f071-4365-b7ea-f375d00f7135\",\"type\":\"HoverTool\"}]},\"id\":\"eadbe970-499a-4d90-99b2-17281e324d87\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"cf282c75-e5fd-4bf7-a254-1625a1920c6d\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"9b98cf0c-5a37-4f96-b1ae-9ceca1c6573f\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"0def8a7e-1e6b-40f8-af7a-a45eda1cfc81\",\"type\":\"Range1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"302772f1-c411-483c-9372-655f51c20c0a\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":{\"id\":\"eb89a8d8-4640-4997-b33c-8bf6bbd8e1b6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6c92ae51-2db1-48b7-8104-a014e6b5b694\",\"type\":\"BasicTicker\"}},\"id\":\"edece5df-1170-473c-b797-3eaa836efb7b\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":{\"id\":\"2bf54a96-7667-478c-8e4c-6d5c72d2adf4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6e843e40-d64d-4d60-996b-17f1ad96fd87\",\"type\":\"BasicTicker\"}},\"id\":\"076eed89-de76-413e-b344-2a4c18a15b4e\",\"type\":\"Grid\"},{\"attributes\":{\"below\":[{\"id\":\"ce466dd5-5724-494a-978f-728f5ec5ef2b\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"cec3ff57-b368-4e3c-820f-684a9601e1ad\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"ce466dd5-5724-494a-978f-728f5ec5ef2b\",\"type\":\"LinearAxis\"},{\"id\":\"dd3b71aa-3a33-4b95-895f-fe1c6570977e\",\"type\":\"Grid\"},{\"id\":\"cec3ff57-b368-4e3c-820f-684a9601e1ad\",\"type\":\"LinearAxis\"},{\"id\":\"fe480d1a-2892-435b-b103-2084be4e3a39\",\"type\":\"Grid\"},{\"id\":\"c4f85044-4a03-475c-b6be-5972cda20463\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"3b4c22fa-f8f6-4360-9b72-b15798b60896\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"13bfec4f-b050-4960-9d05-c5bb3bcca997\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"eadbe970-499a-4d90-99b2-17281e324d87\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"9c89ac71-ea50-4b5a-a9f3-fff7fa897f6d\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"e107fa3f-237c-4cf3-bda4-1f223742b80f\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"cb4f9cc7-ac7e-4534-813a-30f8be3c8c7b\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"8a8a9fff-b4fc-4884-9396-c0b91591a298\",\"type\":\"LinearScale\"}},\"id\":\"4f36cd31-6168-4c2f-b471-55b1b75a703d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":null,\"text\":\"FRCC 38.0% to 66.4% Natural Gas\"},\"id\":\"0846c55b-c5b6-4f4c-94c5-72d31eca756e\",\"type\":\"Title\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"57f1a2dc-931a-4b16-a168-7738c739001a\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":0.75},\"id\":\"f92907dc-00a5-4dcb-a37a-226dd389d719\",\"type\":\"Range1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"3faae002-1afe-421d-aefa-f644a03f5f8c\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"8f91cbdd-cdad-4648-baa7-8f8a99051396\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data_source\":{\"id\":\"a225238c-6bc4-430b-b9e6-8d42435284a9\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"d8bf9830-bfb6-45e2-ae40-4be5676ca6e3\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"fc49080d-2e37-4289-bbd4-1aec16962569\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"cf7d2f58-3c3e-4ba9-b5b6-e5325760b54f\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"a363f56d-6ac3-4926-bcda-ffd8a659ec60\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"a05ade15-b4bd-4253-a9c3-5450aaff1039\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":{\"id\":\"3927c94c-eef2-4e56-aee9-1c1500fea92c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"cb585a50-36b5-46d6-a6dc-a2eae510c11f\",\"type\":\"BasicTicker\"}},\"id\":\"1b33b849-7128-409a-bbac-a523bc34fe7e\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"ced5e6e5-2787-4222-9662-ef073552a707\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"17d5103f-7575-460b-a8ba-c2e590b0fa6c\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"b2cfffcc-b176-4cb2-a41f-59a59cb24030\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"57f1a2dc-931a-4b16-a168-7738c739001a\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"f9d6801c-36c0-4f91-b83d-31827f9f08c1\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"a5d91257-cd07-495c-aa76-403c344dba28\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"57d11df4-908c-4723-996e-13da3b447cda\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"4c58089a-c8db-4d78-b751-439f400c5904\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"1dcea201-4f5a-44f2-aab6-0c7d8907b7da\",\"type\":\"BasicTicker\"}},\"id\":\"0b395a57-7388-42f0-8369-4eb93f46ec57\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"4f36cd31-6168-4c2f-b471-55b1b75a703d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7a25ff5c-87e3-442c-9e48-46714927f794\",\"type\":\"BasicTicker\"}},\"id\":\"dd3b71aa-3a33-4b95-895f-fe1c6570977e\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":null,\"text\":\"ERCOT 49.8% to 49.9% Natural Gas\"},\"id\":\"3b4c22fa-f8f6-4360-9b72-b15798b60896\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"312eb0e9-d755-4c44-8fbc-12d1e4a34897\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"e2bd141f-120f-47cf-b9d0-5999e727a69c\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"984a2157-b993-480a-87b1-07e571724ec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8260d6fa-9e06-4ee2-b06a-1f313bcfe59a\",\"type\":\"BasicTicker\"}},\"id\":\"75385dec-1777-4840-9645-c25afd491c30\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"1cac92f7-a218-4713-abca-cdf512bb3daf\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"6a6be295-f56e-427d-802a-665c04c383ea\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"7bdfa4c2-4cb5-4185-843c-38a253b9565f\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"05c05ea5-5819-48e2-8b50-6330fafae240\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"332bff33-27cd-479d-a7e9-69fa7f62f6da\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"09e0fca0-bd5f-445a-9193-54322f4fa0c3\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"30824885-5e37-495b-b5bb-c253b568e407\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"plot\":{\"id\":\"984a2157-b993-480a-87b1-07e571724ec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"ced5e6e5-2787-4222-9662-ef073552a707\",\"type\":\"BasicTicker\"}},\"id\":\"868d3f41-15b4-499e-9342-55c48fecb79d\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"7f07cb71-ba8f-46b6-a254-74a000e62e69\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"eb89a8d8-4640-4997-b33c-8bf6bbd8e1b6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"16fc57c0-2e73-468b-86a1-c28841b7f3fc\",\"type\":\"BasicTicker\"}},\"id\":\"389b6c95-4e76-4b08-af17-ba0c2ee609d2\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"806c31ce-859a-4696-946e-6d2f3b8a9ccf\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"children\":[{\"id\":\"984a2157-b993-480a-87b1-07e571724ec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"b595ea30-53e5-460b-9a0d-03dfb6ce6504\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"4d5546ab-e6e1-4a5a-8a2a-2afb40472099\",\"type\":\"Row\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"23cf6ae3-637f-4279-9c9f-f92c68b74f9d\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"2a146fca-0277-4e9f-baf7-049e7b8f79d1\",\"type\":\"Range1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1fe279c9-5432-4325-9773-4bef5d826358\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"percent Natural Gas\",\"formatter\":{\"id\":\"7d614e57-30d2-4e99-ae40-e0962ea93aaa\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"4c58089a-c8db-4d78-b751-439f400c5904\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a05ade15-b4bd-4253-a9c3-5450aaff1039\",\"type\":\"BasicTicker\"}},\"id\":\"9d21dd3f-588e-4e12-aaef-00cd35232e8c\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"aM3/1BVj3D8wcMpEZL3cP+1i/jSF5t4/xLZoNXzE4D9oBXSJuzzgP88D9Rwn7+A/QnxtBJgc4j/kmFNyaYjiP2IYco50pOA/clOm4INO4T8ur03N9nPePxI7elZfsdw/oM9mePER3T/QpJSuAmPdP8ZetQOFQ98/hIdK7qym4D9xnZEAPHXfP9xQDvb79+A/krkjDCmD4T8xxtaYwPHhP2i75ZqAzOA/G/5vEvsU4T/JhZj4XmrgP+WEEAyVwNw/jdwcIwqG3D/4pZ59+cTeP2/iL8NAhd8/IEAKVC4D3j82Y3WFvcPgP1E0SsV5huA/T23Twbbz4T+DJfj9vNfhPy5ju5eDLd4/0DBAvrgF3T8B+grj5PHaPx8XCcrY1tk/gxb/G+/T2j/Qcas/pj3cP406DlifcN4/TkVU08Jo4D+wyM6D70zePy3nPv0+VuA/CeGvbvUQ4T9ADpbNFwXhPyUf2Xs7GuA/SS/chtC+3z+SxEdiJ+bcPylliQ+G59o/UBZJNuX22j/wornc8zfcP0IEm5OW690/xNm3rTR74D9pyX5lWVfeP7C4R2lZUOE/cK14+xvi4T9y4qo9WRjiP1mbm3wQH+E/YeQvLMGl4D+hr3m6qHPcP8gRC/uUi9s/NKRNpG7V2D9O467JD+3cP9FdeyDHG94/lUD7qSI24D/3TEBGz2rgP0fkwYzcROE/rupxAeqT4T+5banGTWXiP7XI6Zw64d8/ilDvz3QK4D8y2LVPlB7bP8tda1fFLds/o3gachlQ3j/ZGopByF/dPyULdXCy4uA/+TO5NJEg4D/Q4slwxIvePxQddNkDI+A/BEYqtP9q4D93R5kP8M3hPzJiq8n03eA/xEWthYIN3z+aRWT4TmLbP3/FGqiqqdo/7W9SBNaU3D8/CMFrXrXbP3tyeDq7bd4/dO2Kk54/3j+PMBlFK/feP0eNzrdMweA/tG9uw7ZC4T+JNyyS32DhPyk/5Old490/PFLqiLBb3j+gi8GPp9TZP5n+TflZltk/PkjpN7qs2T9d7YbPftLZP5Xl6DXGqd0/31ZWqKyo2j8NV7WIDkreP/T4U8+lSeE/3gwOjlev4T8AOiP/LbfhPw7ZGT3IeeA/vj1dbDKz3T/lO51/aVrZP7KkpCU/mds/4OTSrsVe3D/1uOkxJ4TdPyHhkiUfstg/aAu4C0MZ3j/Exn6wJB/dP1xN7tiBod4//xxmSMJy3z+ECZ5/zhDhP5bAz6zTfd4/64XG277S2j+cusO9umnZP29UWazRCdg/g9w//B/b2T+dCApEPKPaPwG3CKqZ5tc/Q2waVOqf3D9Sa0TTzJ/bPxQefT0UPd4/YqM3iWHj4D98lNrpo4LhPznxhin2xt4/CY07rXS/2z+xvJ9UCg7cP+eM9DWL/N0/kAQQdpbO3j/RWZw/u1TfP9gd26F+DuA/4sx2Q6LP4T/K5jGKG5vgP4qukWoYruA/VWE9h4zo4D+Gvc7z3UnhP9qjayRFhN8/3o+rc9NH3D/MTmHBwfzbP5fNKFp/PNs/3vyy1ej93T9ONCrUagfcPxiMgvPbp9s/MjZXR//j3T8k+fC8Bc3bPxaMJsJb4N0/W2T4oKxm3z82PzDHUq3gP9652EVAIOA/NdJlIvmF3T+cK0PQ7DXePx1RE7knDd0/dYQzHhNB2z8cr+KcafDaP8eO3DBlFds/OFkicCA73T9jY1rpFbPcPyUBEFaLEN4/Z/uf9HFw3z/CJplwwN/gPy64l9LFqt8/UdhIqcOS3z+dflOUVDDdPxBnRSSUJN4/DgG3kT4x4D9wHESsGVHgPx/sdjcoQ+I/m1iYX+de4T/6w8KeLRfgP6fAu7ovUeA/qDeXScAn4T/I435RUanhP0xupw0auuA/wz0pukQr4T+ynAlfYnLgPwVseLYYEeE//BwwhGCF4D+6501SGFzgPxxOyhxGzOE/5Ci1ymD74D8/4b/Np+jgP3Se3YIqPuA/IeIAVFQW4D9g6mVv+SfhP0RFmHSkC+A/QLXL3sFU3D9WhAnOg6jdPxiqyZi/9Ng/b3KjmDye2D9NIsaJqGPZP4+9UnvqANs/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"b17ade99-b69b-47e7-8861-2ce643e188cf\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1d9ed58b-62e5-4e1d-b38c-de5608708376\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"b93e87d1-8d74-45c9-8d3a-ae3855ec50e7\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"378bf720-a279-4031-9e79-aedb9cdcb8f1\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"302772f1-c411-483c-9372-655f51c20c0a\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"85702129-9448-440f-9d7b-4e549c6bba49\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"6caadb2e-cdb5-4cb5-9bbc-814029d9bdeb\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"3dcdfeb0-e128-4008-8794-0ad5e75ed099\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"122da43d-af97-46f0-a1e3-d3f62f7b72ff\",\"type\":\"ToolEvents\"},{\"attributes\":{\"plot\":null,\"text\":\"SERC 10.2% to 31.1% Natural Gas\"},\"id\":\"e5b10ead-7268-4d19-8473-dc235e77fe8e\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"5deec840-82b5-4b74-a89b-784fa535549a\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"a25420bb-3e05-49bd-9692-33511ae0ec1a\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"16fc57c0-2e73-468b-86a1-c28841b7f3fc\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":null,\"text\":\"MRO 5.5% to 11.5% Natural Gas\"},\"id\":\"6a5cee08-8896-4217-882d-b05c7c134650\",\"type\":\"Title\"},{\"attributes\":{\"plot\":{\"id\":\"b595ea30-53e5-460b-9a0d-03dfb6ce6504\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a5d91257-cd07-495c-aa76-403c344dba28\",\"type\":\"BasicTicker\"}},\"id\":\"54992a2c-2574-4303-8a0c-b61be4e319b0\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"AACA5vR4bEIAAACL6YxsQgAAAM3vnmxCAACAceSybEIAAIBKNMZsQgAAAO8o2mxCAAAAyHjtbEIAAIBsbQFtQgAAABFiFW1CAAAA6rEobUIAAICOpjxtQgAAgGf2T21CAAAADOtjbUIAAICw33dtQgAAgPLliW1CAAAAl9qdbUIAAABwKrFtQgAAgBQfxW1CAACA7W7YbUIAAACSY+xtQgAAgDZYAG5CAACAD6gTbkIAAAC0nCduQgAAAI3sOm5CAACAMeFObkIAAADW1WJuQgAAABjcdG5CAACAvNCIbkIAAICVIJxuQgAAADoVsG5CAAAAE2XDbkIAAIC3WdduQgAAAFxO625CAAAANZ7+bkIAAIDZkhJvQgAAgLLiJW9CAAAAV9c5b0IAAID7y01vQgAAAAl3YG9CAACArWt0b0IAAICGu4dvQgAAACuwm29CAAAABACvb0IAAICo9MJvQgAAAE3p1m9CAAAAJjnqb0IAAIDKLf5vQgAAwNG+CHBCAAAAJLkScEIAAEB2sxxwQgAAQJe2JXBCAACA6bAvcEIAAADWWDlwQgAAQChTQ3BCAADAFPtMcEIAAABn9VZwQgAAQLnvYHBCAADApZdqcEIAAAD4kXRwQgAAgOQ5fnBCAADANjSIcEIAAACJLpJwQgAAAKoxm3BCAABA/CulcEIAAMDo065wQgAAADvOuHBCAACAJ3bCcEIAAMB5cMxwQgAAAMxq1nBCAACAuBLgcEIAAMAKDepwQgAAQPe083BCAACASa/9cEIAAMCbqQdxQgAAwLysEHFCAAAAD6cacUIAAID7TiRxQgAAwE1JLnFCAABAOvE3cUIAAICM60FxQgAAwN7lS3FCAABAy41VcUIAAIAdiF9xQgAAAAowaXFCAABAXCpzcUIAAICuJH1xQgAAQDV6hnFCAACAh3SQcUIAAAB0HJpxQgAAQMYWpHFCAADAsr6tcUIAAAAFubdxQgAAQFezwXFCAADAQ1vLcUIAAACWVdVxQgAAgIL93nFCAADA1PfocUIAAAAn8vJxQgAAAEj1+3FCAABAmu8FckIAAMCGlw9yQgAAANmRGXJCAACAxTkjckIAAMAXNC1yQgAAAGouN3JCAACAVtZAckIAAMCo0EpyQgAAQJV4VHJCAACA53JeckIAAMA5bWhyQgAAwFpwcXJCAAAArWp7ckIAAICZEoVyQgAAwOsMj3JCAABA2LSYckIAAIAqr6JyQgAAwHyprHJCAABAaVG2ckIAAIC7S8ByQgAAAKjzyXJCAABA+u3TckIAAIBM6N1yQgAAgG3r5nJCAADAv+XwckIAAECsjfpyQgAAgP6HBHNCAAAA6y8Oc0IAAEA9KhhzQgAAgI8kInNCAAAAfMwrc0IAAEDOxjVzQgAAwLpuP3NCAAAADWlJc0IAAEBfY1NzQgAAAOa4XHNCAABAOLNmc0IAAMAkW3BzQgAAAHdVenNCAACAY/2Dc0IAAMC1941zQgAAAAjyl3NCAACA9Jmhc0IAAMBGlKtzQgAAQDM8tXNCAACAhTa/c0IAAMDXMMlzQgAAwPgz0nNCAAAASy7cc0IAAIA31uVzQgAAwInQ73NCAABAdnj5c0IAAIDIcgN0QgAAwBptDXRCAABABxUXdEIAAIBZDyF0QgAAAEa3KnRCAABAmLE0dEIAAIDqqz50QgAAgAuvR3RCAADAXalRdEIAAEBKUVt0QgAAgJxLZXRCAAAAifNudEIAAEDb7Xh0QgAAgC3ognRCAAAAGpCMdEIAAEBsipZ0QgAAwFgyoHRCAAAAqyyqdEIAAED9JrR0QgAAQB4qvXRCAACAcCTHdEIAAABdzNB0QgAAQK/G2nRCAADAm27kdEIAAADuaO50QgAAQEBj+HRCAADALAsCdUIAAAB/BQx1QgAAgGutFXVCAADAvacfdUIAAAAQoil1QgAAwJb3MnVCAAAA6fE8dUIAAIDVmUZ1QgAAwCeUUHVCAABAFDxadUIAAIBmNmR1QgAAwLgwbnVCAABApdh3dUIAAID30oF1QgAAAOR6i3VCAABANnWVdUIAAICIb591QgAAgKlyqHVC\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"TVZCm/shqD9YxDuuVQ+oP4PrS1JfR6s/SH/ZVGREtT9HzmYKoQS1P9/qlOh9NbY/ECH89vEkvz9o3nbl5bzAP8L1LFAbOLo/6KjCyY7muT+BQSy48zm0Py5OnRXSdLU/tmWli1Xntj+i5/jyHwS4P4awTREECLo/Ej9FcP5PvD8DpTxoVoa6P5SfXTAg9cA/vJGEnTpxxT8iJdxH10HEP4PtqQbRCsA/infPpOLctT94ZmIuBYyvP4uctEwCgK4/jlRQF8ZItj8z7RTuZAWyPwfIAkkkB7E/dS4JlES4uD8QgiVbfZW1Pw3iTEWHP7c/P/wo79cyvT/y1Y933wnBPwSNfqb2eLU/T/XRuMb8sD/LlqCK0LqvP8itPDiBCK4/XiO+cI6Bsz+bBxc2ZvC1PyHEPRo8nLY/LlKGsZ+6tj8AHLun2aS8P5k7OolQ3ro/lSa0ouuMvj8Z+2+a0Vi+P38cc5UUIbg/E7aRYy8ttT+aXdFBt9evP0zjvXPbzrA/VPRr8+QNsz/T/yHuiXWwP4NwaFE8ibY/Bw8bx8bltD8vWTiEF3u5P/sZZW44gMA/GnQ4KqyDwz8iAW7QT+LEP1ObDnGt47w/9uwzmeZBsj9fHKWDvIGxP7ZwRGE5irQ/WBMegxBjqD8LLaJzf+OwPx7yaGyrKbQ/fRfAdjx8uz/HhgzI73S8P6Nahst3IcI/RFTAJTKixj9HMKXCM6PHP1T0mkcHtrs/GWsz9vF9uz/wuGenqMuzP4ntGSiKC7M/pu7cYKK1sz+3dKagday7P1O76271xrU/1jTBa6JbvT+YflaI69S9P0MS/c1ko8E/BvC4WxxSwj+2t2u9xQPMP2Nsj30SAsM/aMLXcfRBwD+0s3dq2Pa0P4ZLQ3Sr4bU/7+LYLCk2wD8+fQig0sO3P5r7c/z7brc/a4BO2WWytD9fppAlWnS3Pz/hoeyeSsM/T6lkbTs5xD/DAxXPc0PDP46oIWQKuL4/EnfMmokUwT/6T/JBkxe/P/jSA+PWEbk/LUtChmIHvj/I1A3YYjnBP705lHARIMI/3EWYTCCkwT+9owVV7DnBP4QZl6IsYcc/sAzYKfiGxj/bHoKajzvHP6q3QQhl/8U/2abEXGomwD9+pI+h/tK+P69jjJi1Jr4/v+2sAdOkwT+ZBensgrnAP3aArkoyHL8/Z4zTExDVwD/LsNAVBhLFP5PtXiM9O8k/dGmmjYn+yz+UFvZNbD7OPyeGUNRHV8c/Cl3V79b5xD921/chjQjCP6MxYwA63cQ/yrTX3WVmxD828xhikX/EP94io+7DhsM/xKHOB2ZJxj+V2iuxVvTIP3tiSkZW0sk/T844p6b0zD+CPIE4WYrNPzIY72d1Wsg/p30v5pxMyT/cvlf7ZtHIPyJYHe1GUcg/XzgBC+Uuyz9sTPRlDPHOP+DPQhKCFM8/PlXhPFtO0T9sgVZhtd7RP2gDDL6UGdI/t/lbNUVG0j9BCuWAKg3RP+QK2WQbVdA/l47FWhN8zT9IRQfooQ7LP599nBU9ssw/Jln3/uPyyz/BGz+MAgTNP1SJn/4fWs0/vCZsV0A/yz/PGjjug9jJP/Kqj0qnL80/r10SOPS+zT/YR+O73I/OP59kXOcVSMw/wV33dWo7zD8mRtKIzizLP+I2rLF7b8o/qB7KTLJnyj83PPM+i9bEP5k1I0xKkcg/TipNUHpiyj/TytqM0t3OP+Bpf62ejM0/TgV4Ayr0zD/UbJOwPvPPPwBjNDOJu84/vc0KHWgF0D+c7WfbmvrNP3/akL7m4s0/zQNp8kKD0D9yI493sRvRP1pEor33odE/pkYFy3NL0T9q6eROb+jRP17lmP0An9I/k6hYDHzW0j9f60y/h2TSP+C+5aS9c9I/QLKtDa/b0j/U5shH6OfTP6TeHuqH0dM/QBMF+eTd0T/iDgaxqubSPz6E+WLZk9U/3IAJg2NG1D8wzlQccxvVP7Va4FJbwNQ/wIwJ98341D8IbnjGgJnUP/qOj4XlL9Q/G4wNSz5p0z/GjlUnm3PTP0CtErwDOdE/GtBZJ5AIzz9cZAQU5WjRPxs6Ezv/XtM/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"17d5103f-7575-460b-a8ba-c2e590b0fa6c\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"95c18a59-8bcb-4f74-bebd-74acb220612a\",\"type\":\"HoverTool\"}]},\"id\":\"e71429ef-9157-46d6-8df7-f2b82f9fc3e1\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"end\":0.75},\"id\":\"03434c97-fe36-4813-bc6a-0303ce865e05\",\"type\":\"Range1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"d8bf9830-bfb6-45e2-ae40-4be5676ca6e3\",\"type\":\"Circle\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"4f36cd31-6168-4c2f-b471-55b1b75a703d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"54fcc25c-7b87-4722-8bca-00a1e743660f\",\"type\":\"BasicTicker\"}},\"id\":\"fe480d1a-2892-435b-b103-2084be4e3a39\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"022b92cc-c7a9-42b7-a3cc-6d83b92bf073\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"42082c2e-5303-4c5d-8b7b-2538594fec80\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"6c92ae51-2db1-48b7-8104-a014e6b5b694\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"378bf720-a279-4031-9e79-aedb9cdcb8f1\",\"type\":\"Circle\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"27cf419c-7ce2-4837-ad81-b7960846f9ec\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9d442311-8c1f-482c-8727-2f31f5d86aad\",\"type\":\"BasicTicker\"}},\"id\":\"004118a8-751f-4c6c-8a6a-68557bca6251\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":null,\"text\":\"WECC 26.0% to 29.9% Natural Gas\"},\"id\":\"35f1b233-204d-448a-bf85-bb3bf5337689\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"85b53d22-85ec-4123-b381-d9ae1b60e671\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"f005519e-c3ae-4a18-bb2f-b2c7c90aa310\",\"type\":\"ToolEvents\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"dOnqbVi7vj9qozyfq3y7P0tZvV8FvMI/lp8A+2mPxT/1rqG4wefEP+E50mbj7Mk/FQl5N+z71T9D2ck8pQrTP0TmfkRLUs0/xaHn06U/yj8hN776jmvEP3qWQoUxn8I/zvLyh9Iqwz/BpKJCzjLJPz6opuCcpMs/7PYp/Wsp0D+RdNiM1yvJPy1ZDC/5vs4/Gk1CzXX90j+y0Cep6IbUP14NETuzr9A/cITyEH3txD9HrFLIpbi5P5Z2R636zbo/qymj5VVPwz8JUt9fTS7FPyfNjIrIssI/6ON0MV+dxz8yzqax5JvIPyU3RuPQHM8/CZ2PHU8X1D81ESYlOXDWP72tUGbRlMw/rylw3RtdyT8ES8m8shbDP/Py3ifGu8M/xFxw/Ljgwz+YC2HwAobIPzDSLOsFFMs/DYM38eL+0D9xFHmPmXvQPz9ZGJfD6c4/SpMCmQe00T/rEuND9RfSPzndsSClKdI/bOpqvipazj8QMF51/+i9PxS5H0VjP8E/dnI1LJqtwj+ki3BaMhrEPxVWUQcqJso/vpaJArx+zz+y6Vw/i/HQP6R3IBsZR9Q/J+id2iKV1T/LrOjGqHXWPxxc3URdIdQ/iYliH5Hezj9OuOPhv6vJP8kUHh+ias0/xkbcN5kxyD/rRrIHZZTRPxzr3cEGwdE/XBEtAl5W2D9B520w9TfWP9Q1avz+TdQ/Zwn7TOML1z8d/HFFBMXYP6n1D49D/9A/+Q6huG9p0z9EasZrqAPKP95Qp5294cs/on54JuRrzT+TBUc2QAPOP+0mq/kxh8s/SXGIbhuN0j/YqG1smYvRPwPaUucn0tI/Ijad3dY/1T9Ri0v7n/7ZP0G56WVOK9Q/lnD/Qkbz1D+/MWxhlLHLPxxhP6WuCM8/COEZzwJO0j/JnVE1gV3NP630DWeH6c4/oAVxZTxd0z/b4upPnCrRP0YnlFZ1d9Q/JOFjl7YI1j9LimvuG/LWP3lYkmwKGdI/dQm+smYe0z8kk2PyFzDQP/1YycPoPdI/R9SqxTWK0T9WSsoijbfSP40aDQ3yzdQ/borh7h990T8YUzrtDC/SP2dMjxYPkdY/yc8S9Zzj1z/O8ogyqb3YPxAEzqYtwNQ/kyd5F1DhzT/WklfFg6/MP6OJ29QIUNE/Lcl3tkdh0j8sy3wkVI3PP+rO2NKdxMk/lUD/V9sf0D/XpP5l9S/SP2QFd4ioT9Y/flsg6prp1z96QGzTi5/ZP7nsGM1xpNQ/vrHplwM10j9jcBOQUIDMP2E+JfNhRNI/7QvyN3TVzz8S5zsfS9nNPwrcEpkL9sk/b1oXM9ka0D8GWMmFOVDPP+sEkZy8S9c/Fhtm6re52z8QZV8k4YPaP10C4fJR1dQ/m3X7tZIQzz9ri9lYUJLIPx7rryrpy8w/9NBIMJ9f0j/dB4E068bUPyXRqUImU9c/qkqKaQJK2z8imcJoVcTYPzRCQ5vP0tg/H1S7bDOy2z/tdlH8YqvZP2H51pW+4dU/Yzg2JkgDzz8bfC8wNtXLP5beUWn6fMk/kWsr/nOWzT+bc33ZV3XNPze7rEVQNNI/DINEGqx6zj+RaoRAp2TQP0dXSYP/F9M/varNhv670z/IRlejBVjUPxDyLnv8d9I/3OSUGVuZyT8Xq6QysqjIP55K2yr7ZtA/5tHbVaN8zT8K7hsz30DQP6+bbn5q7Mg/NrmQUHHXzz8QG5jGrZzNP33Khs9dWss/jOMo65ds0D+TpHqW9qvSP/vJDPFPDcw/xbgmKtZUzD+mVoJ2tZHIP5UPlUCFoM4/tLG8OsfF0T/BN7fmH0vTP7zG8+/xk9M/3Tv+gakf0T90QaFLUbPQP5fRH5yggtE/ne+eOuGz1D+WRGElxrDUP7lSKoZjR9E/QvsQTr2Vzz/BME5AQ8XTP/AdiP23fNQ/GbewSrNT0j8GP2ljPWDPP8gjhZu+NdE/KwJsZSPD1D+m1quiYgTWP4M+vAU7vdc/ChEsZrZ11j+zDEWNQXHVPxbOTZWB+tU/5HI050bYzj/hesFAMUTUP7EuOTDZ7cs/ikEMw2REyj9jnohKp9jFP7dTq/lPc8c/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"b93e87d1-8d74-45c9-8d3a-ae3855ec50e7\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"end\":0.75},\"id\":\"1a5ed79a-5b87-424d-9a74-2d85d4677184\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"c8e86052-4608-4a8e-aab5-7ba191f74a19\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"b2cfffcc-b176-4cb2-a41f-59a59cb24030\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"19cb488c-775e-4c32-88a6-aed5131ff340\",\"type\":\"Range1d\"},{\"attributes\":{\"below\":[{\"id\":\"8d8b75b7-c8ee-4725-953d-396e75b999b6\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"97f1afec-e588-40e3-aa8c-9bb4abaa4b40\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"8d8b75b7-c8ee-4725-953d-396e75b999b6\",\"type\":\"LinearAxis\"},{\"id\":\"076eed89-de76-413e-b344-2a4c18a15b4e\",\"type\":\"Grid\"},{\"id\":\"97f1afec-e588-40e3-aa8c-9bb4abaa4b40\",\"type\":\"LinearAxis\"},{\"id\":\"68edc865-3fae-4bae-b4b4-e5d05c72e05f\",\"type\":\"Grid\"},{\"id\":\"35f7b36d-c81d-49fd-9ffe-b1e56fca555c\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"35f1b233-204d-448a-bf85-bb3bf5337689\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"42082c2e-5303-4c5d-8b7b-2538594fec80\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"ccb52601-58f7-4502-ad58-2195f69cb86f\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"f92907dc-00a5-4dcb-a37a-226dd389d719\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"a363f56d-6ac3-4926-bcda-ffd8a659ec60\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"23cf6ae3-637f-4279-9c9f-f92c68b74f9d\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"9b98cf0c-5a37-4f96-b1ae-9ceca1c6573f\",\"type\":\"LinearScale\"}},\"id\":\"2bf54a96-7667-478c-8e4c-6d5c72d2adf4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"e71b886f-558f-4118-8d7d-d322d61d881a\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"6e843e40-d64d-4d60-996b-17f1ad96fd87\",\"type\":\"BasicTicker\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"356c5011-2efe-4bba-a8d0-83ab14dfc496\",\"type\":\"HoverTool\"}]},\"id\":\"ccb52601-58f7-4502-ad58-2195f69cb86f\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"d0df177b-fe27-4c77-b733-b20fc2afe5a6\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"below\":[{\"id\":\"7ca4ef3a-5aa8-4170-96e0-339352caa9ba\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"75385dec-1777-4840-9645-c25afd491c30\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"7ca4ef3a-5aa8-4170-96e0-339352caa9ba\",\"type\":\"LinearAxis\"},{\"id\":\"868d3f41-15b4-499e-9342-55c48fecb79d\",\"type\":\"Grid\"},{\"id\":\"75385dec-1777-4840-9645-c25afd491c30\",\"type\":\"LinearAxis\"},{\"id\":\"62c9c05b-5f1d-4783-a53a-b0e4c0f1ffa0\",\"type\":\"Grid\"},{\"id\":\"30824885-5e37-495b-b5bb-c253b568e407\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"6a5cee08-8896-4217-882d-b05c7c134650\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"85b53d22-85ec-4123-b381-d9ae1b60e671\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"62326487-ab10-4eee-9d0b-e69f881029b4\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"1a5ed79a-5b87-424d-9a74-2d85d4677184\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"e430f09d-fd8e-40a2-a6ea-b0698ea6c463\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"0def8a7e-1e6b-40f8-af7a-a45eda1cfc81\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"6a6be295-f56e-427d-802a-665c04c383ea\",\"type\":\"LinearScale\"}},\"id\":\"984a2157-b993-480a-87b1-07e571724ec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1dcea201-4f5a-44f2-aab6-0c7d8907b7da\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"4f36cd31-6168-4c2f-b471-55b1b75a703d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"ae6620a8-f071-4365-b7ea-f375d00f7135\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"6f91625a-cc9c-4cfe-8055-37d70876d5a3\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"percent Natural Gas\",\"formatter\":{\"id\":\"0036bdc3-81e5-43ca-a9e3-926b8e1f1fb2\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"4f36cd31-6168-4c2f-b471-55b1b75a703d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7a25ff5c-87e3-442c-9e48-46714927f794\",\"type\":\"BasicTicker\"}},\"id\":\"ce466dd5-5724-494a-978f-728f5ec5ef2b\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"cb585a50-36b5-46d6-a6dc-a2eae510c11f\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"5fd4823f-b988-446b-b982-b3bcddbb1660\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"d0df177b-fe27-4c77-b733-b20fc2afe5a6\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"b595ea30-53e5-460b-9a0d-03dfb6ce6504\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6aaa7c9c-2348-4bfa-8d53-3baff0490da9\",\"type\":\"BasicTicker\"}},\"id\":\"2e619a9a-40ed-4f22-a329-9054fda7074c\",\"type\":\"LinearAxis\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"5a6e5e20-f830-4f01-8dc3-c22e826978ea\",\"type\":\"HoverTool\"}]},\"id\":\"62326487-ab10-4eee-9d0b-e69f881029b4\",\"type\":\"Toolbar\"},{\"attributes\":{\"axis_label\":\"percent Natural Gas\",\"formatter\":{\"id\":\"5deec840-82b5-4b74-a89b-784fa535549a\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"b595ea30-53e5-460b-9a0d-03dfb6ce6504\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a5d91257-cd07-495c-aa76-403c344dba28\",\"type\":\"BasicTicker\"}},\"id\":\"f634d158-f89b-4984-8651-32d36c1ff86a\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1794ac0b-a84b-4659-bf60-c75181d48730\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"b48bfb15-490a-4c48-86da-cf4c6128830e\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"1fe279c9-5432-4325-9773-4bef5d826358\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"3faae002-1afe-421d-aefa-f644a03f5f8c\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"12bd8ae6-4397-4d79-8c8e-a38fac23fa62\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"bd39b110-626e-4dfa-b759-f4605693abc5\",\"type\":\"Range1d\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"6f91625a-cc9c-4cfe-8055-37d70876d5a3\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"4f36cd31-6168-4c2f-b471-55b1b75a703d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"54fcc25c-7b87-4722-8bca-00a1e743660f\",\"type\":\"BasicTicker\"}},\"id\":\"cec3ff57-b368-4e3c-820f-684a9601e1ad\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"8a8a9fff-b4fc-4884-9396-c0b91591a298\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"a25420bb-3e05-49bd-9692-33511ae0ec1a\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"3927c94c-eef2-4e56-aee9-1c1500fea92c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"022b92cc-c7a9-42b7-a3cc-6d83b92bf073\",\"type\":\"BasicTicker\"}},\"id\":\"597626a6-8c91-4e6c-ab84-def1ab1d9129\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"9d442311-8c1f-482c-8727-2f31f5d86aad\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"13bfec4f-b050-4960-9d05-c5bb3bcca997\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"ee7964d0-41df-4fbe-a849-89460b50024b\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"a30ad328-37c2-45f9-8f49-f542485e2996\",\"type\":\"Circle\"},{\"attributes\":{\"children\":[{\"id\":\"8a34de47-0824-41ce-95fc-25369919b13d\",\"type\":\"Row\"},{\"id\":\"a6c54290-2c46-49c6-b945-c0eba98045d1\",\"type\":\"Row\"},{\"id\":\"4d5546ab-e6e1-4a5a-8a2a-2afb40472099\",\"type\":\"Row\"}]},\"id\":\"3875eed3-55fb-4c3f-97c9-fb790712a430\",\"type\":\"Column\"},{\"attributes\":{},\"id\":\"8d648a61-f1be-43d2-b213-cf23b348d41b\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"below\":[{\"id\":\"f4018579-b927-43fb-8e4f-cc930932a6cd\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"64ee3691-4ab7-4775-98ad-10e9cfe66ebe\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"f4018579-b927-43fb-8e4f-cc930932a6cd\",\"type\":\"LinearAxis\"},{\"id\":\"917ee378-c18b-4cd3-bf76-dc7e596dad2b\",\"type\":\"Grid\"},{\"id\":\"64ee3691-4ab7-4775-98ad-10e9cfe66ebe\",\"type\":\"LinearAxis\"},{\"id\":\"004118a8-751f-4c6c-8a6a-68557bca6251\",\"type\":\"Grid\"},{\"id\":\"cf7d2f58-3c3e-4ba9-b5b6-e5325760b54f\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"932a1b8e-919c-4cf5-8e2c-32479b63bc18\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"5241ce7d-e3b5-4c61-8cc1-9290704b783f\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"18326f43-7d0e-4e49-b51e-df925c0a8b05\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"69eb14ce-17d2-472b-a796-a7e946ec5b5e\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"eb74b28b-9065-434e-aeda-e1a09d3415db\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"9cd91e52-7ae2-49b8-9224-5247aa9cd111\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"312eb0e9-d755-4c44-8fbc-12d1e4a34897\",\"type\":\"LinearScale\"}},\"id\":\"27cf419c-7ce2-4837-ad81-b7960846f9ec\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"7d614e57-30d2-4e99-ae40-e0962ea93aaa\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data_source\":{\"id\":\"b17ade99-b69b-47e7-8861-2ce643e188cf\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"4a944c81-d780-4cf2-92c8-26fdb59b11d2\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"5fd4823f-b988-446b-b982-b3bcddbb1660\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"c4f85044-4a03-475c-b6be-5972cda20463\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"806c31ce-859a-4696-946e-6d2f3b8a9ccf\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"27cf419c-7ce2-4837-ad81-b7960846f9ec\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9d442311-8c1f-482c-8727-2f31f5d86aad\",\"type\":\"BasicTicker\"}},\"id\":\"64ee3691-4ab7-4775-98ad-10e9cfe66ebe\",\"type\":\"LinearAxis\"},{\"attributes\":{\"sizing_mode\":\"scale_width\",\"toolbar_location\":\"above\",\"tools\":[{\"id\":\"df57fd4a-7626-4ea4-a67e-fa0a09492212\",\"type\":\"HoverTool\"},{\"id\":\"ae6620a8-f071-4365-b7ea-f375d00f7135\",\"type\":\"HoverTool\"},{\"id\":\"356c5011-2efe-4bba-a8d0-83ab14dfc496\",\"type\":\"HoverTool\"},{\"id\":\"a444c562-66ab-4968-ab27-5b2909c67085\",\"type\":\"HoverTool\"},{\"id\":\"b3e6a251-cc8d-4795-85ef-e3a237eb5b3f\",\"type\":\"HoverTool\"},{\"id\":\"95c18a59-8bcb-4f74-bebd-74acb220612a\",\"type\":\"HoverTool\"},{\"id\":\"5a6e5e20-f830-4f01-8dc3-c22e826978ea\",\"type\":\"HoverTool\"},{\"id\":\"50515aa1-23fa-487e-b664-e72ba4f799ad\",\"type\":\"HoverTool\"}]},\"id\":\"bc0d6783-a4c3-492e-8116-e59dd187c2c8\",\"type\":\"ToolbarBox\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"27cf419c-7ce2-4837-ad81-b7960846f9ec\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"b3e6a251-cc8d-4795-85ef-e3a237eb5b3f\",\"type\":\"HoverTool\"},{\"attributes\":{\"below\":[{\"id\":\"f634d158-f89b-4984-8651-32d36c1ff86a\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"2e619a9a-40ed-4f22-a329-9054fda7074c\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"f634d158-f89b-4984-8651-32d36c1ff86a\",\"type\":\"LinearAxis\"},{\"id\":\"54992a2c-2574-4303-8a0c-b61be4e319b0\",\"type\":\"Grid\"},{\"id\":\"2e619a9a-40ed-4f22-a329-9054fda7074c\",\"type\":\"LinearAxis\"},{\"id\":\"82886524-08f2-4c77-bc98-14f41bc78de5\",\"type\":\"Grid\"},{\"id\":\"f9d6801c-36c0-4f91-b83d-31827f9f08c1\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"e5b10ead-7268-4d19-8473-dc235e77fe8e\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"55b196a6-3718-4ed0-9ff4-02eb9cc01cb3\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"5db42b78-563d-446b-90ff-70c71fac461b\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"67873128-173d-433e-b6be-b6f017e75249\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"ad6e3aca-62e9-4ea7-a9f4-720cf4ce3086\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"2a146fca-0277-4e9f-baf7-049e7b8f79d1\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"4741e565-10b8-4f1a-9645-d16ff5bfc9ce\",\"type\":\"LinearScale\"}},\"id\":\"b595ea30-53e5-460b-9a0d-03dfb6ce6504\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"below\":[{\"id\":\"fe89d458-db9c-4c64-a809-762450247bac\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"389b6c95-4e76-4b08-af17-ba0c2ee609d2\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"fe89d458-db9c-4c64-a809-762450247bac\",\"type\":\"LinearAxis\"},{\"id\":\"edece5df-1170-473c-b797-3eaa836efb7b\",\"type\":\"Grid\"},{\"id\":\"389b6c95-4e76-4b08-af17-ba0c2ee609d2\",\"type\":\"LinearAxis\"},{\"id\":\"00d03800-7027-440d-8c6d-1b10ea1b8187\",\"type\":\"Grid\"},{\"id\":\"85702129-9448-440f-9d7b-4e549c6bba49\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"71c458b8-e17e-4e6f-ad74-53b4217b4ff2\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"f005519e-c3ae-4a18-bb2f-b2c7c90aa310\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"e71429ef-9157-46d6-8df7-f2b82f9fc3e1\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"03434c97-fe36-4813-bc6a-0303ce865e05\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"7bdfa4c2-4cb5-4185-843c-38a253b9565f\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"19cb488c-775e-4c32-88a6-aed5131ff340\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"cf282c75-e5fd-4bf7-a254-1625a1920c6d\",\"type\":\"LinearScale\"}},\"id\":\"eb89a8d8-4640-4997-b33c-8bf6bbd8e1b6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"e2bd141f-120f-47cf-b9d0-5999e727a69c\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data_source\":{\"id\":\"2657183c-786b-43c4-ad7a-2a05af7ba624\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"e2871eb4-b993-45cf-8d24-2c83b29106f4\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"a30ad328-37c2-45f9-8f49-f542485e2996\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"a0d7907e-d680-47d7-a1ca-343ae8d76234\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"4c58089a-c8db-4d78-b751-439f400c5904\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"df57fd4a-7626-4ea4-a67e-fa0a09492212\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"9cd91e52-7ae2-49b8-9224-5247aa9cd111\",\"type\":\"Range1d\"},{\"attributes\":{\"axis_label\":\"percent Natural Gas\",\"formatter\":{\"id\":\"e71b886f-558f-4118-8d7d-d322d61d881a\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"3927c94c-eef2-4e56-aee9-1c1500fea92c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"cb585a50-36b5-46d6-a6dc-a2eae510c11f\",\"type\":\"BasicTicker\"}},\"id\":\"d2fd6327-11fb-438c-97c8-3edcc351b2cf\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"8260d6fa-9e06-4ee2-b06a-1f313bcfe59a\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"2bf54a96-7667-478c-8e4c-6d5c72d2adf4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6caadb2e-cdb5-4cb5-9bbc-814029d9bdeb\",\"type\":\"BasicTicker\"}},\"id\":\"68edc865-3fae-4bae-b4b4-e5d05c72e05f\",\"type\":\"Grid\"},{\"attributes\":{\"data_source\":{\"id\":\"1cac92f7-a218-4713-abca-cdf512bb3daf\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"3dcdfeb0-e128-4008-8794-0ad5e75ed099\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"2b7badc4-233b-4985-8bce-3014af740a6d\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"35f7b36d-c81d-49fd-9ffe-b1e56fca555c\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"4741e565-10b8-4f1a-9645-d16ff5bfc9ce\",\"type\":\"LinearScale\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"eb89a8d8-4640-4997-b33c-8bf6bbd8e1b6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"16fc57c0-2e73-468b-86a1-c28841b7f3fc\",\"type\":\"BasicTicker\"}},\"id\":\"00d03800-7027-440d-8c6d-1b10ea1b8187\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"cb4f9cc7-ac7e-4534-813a-30f8be3c8c7b\",\"type\":\"Range1d\"},{\"attributes\":{\"below\":[{\"id\":\"9d21dd3f-588e-4e12-aaef-00cd35232e8c\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"0b395a57-7388-42f0-8369-4eb93f46ec57\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"9d21dd3f-588e-4e12-aaef-00cd35232e8c\",\"type\":\"LinearAxis\"},{\"id\":\"c1913433-f2a6-4903-87ce-90e082d82a51\",\"type\":\"Grid\"},{\"id\":\"0b395a57-7388-42f0-8369-4eb93f46ec57\",\"type\":\"LinearAxis\"},{\"id\":\"68e77e3b-1b26-468b-929f-6215bca2bbb5\",\"type\":\"Grid\"},{\"id\":\"12bd8ae6-4397-4d79-8c8e-a38fac23fa62\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"0650ac32-0cae-4a1b-bc07-8e365ac76c96\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"122da43d-af97-46f0-a1e3-d3f62f7b72ff\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"89af8a1c-5e66-49f6-a3c4-f369739c6ed6\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"d4de9ddc-dc2f-4e6e-b322-e4fadbc6e2a6\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"1794ac0b-a84b-4659-bf60-c75181d48730\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"f823ab8b-b6d0-451f-a3a2-14be4ceae911\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"ee7964d0-41df-4fbe-a849-89460b50024b\",\"type\":\"LinearScale\"}},\"id\":\"4c58089a-c8db-4d78-b751-439f400c5904\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"b595ea30-53e5-460b-9a0d-03dfb6ce6504\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"50515aa1-23fa-487e-b664-e72ba4f799ad\",\"type\":\"HoverTool\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"df57fd4a-7626-4ea4-a67e-fa0a09492212\",\"type\":\"HoverTool\"}]},\"id\":\"89af8a1c-5e66-49f6-a3c4-f369739c6ed6\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"0036bdc3-81e5-43ca-a9e3-926b8e1f1fb2\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"f823ab8b-b6d0-451f-a3a2-14be4ceae911\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"AACA5vR4bEIAAACL6YxsQgAAAM3vnmxCAACAceSybEIAAIBKNMZsQgAAAO8o2mxCAAAAyHjtbEIAAIBsbQFtQgAAABFiFW1CAAAA6rEobUIAAICOpjxtQgAAgGf2T21CAAAADOtjbUIAAICw33dtQgAAgPLliW1CAAAAl9qdbUIAAABwKrFtQgAAgBQfxW1CAACA7W7YbUIAAACSY+xtQgAAgDZYAG5CAACAD6gTbkIAAAC0nCduQgAAAI3sOm5CAACAMeFObkIAAADW1WJuQgAAABjcdG5CAACAvNCIbkIAAICVIJxuQgAAADoVsG5CAAAAE2XDbkIAAIC3WdduQgAAAFxO625CAAAANZ7+bkIAAIDZkhJvQgAAgLLiJW9CAAAAV9c5b0IAAID7y01vQgAAAAl3YG9CAACArWt0b0IAAICGu4dvQgAAACuwm29CAAAABACvb0IAAICo9MJvQgAAAE3p1m9CAAAAJjnqb0IAAIDKLf5vQgAAwNG+CHBCAAAAJLkScEIAAEB2sxxwQgAAQJe2JXBCAACA6bAvcEIAAADWWDlwQgAAQChTQ3BCAADAFPtMcEIAAABn9VZwQgAAQLnvYHBCAADApZdqcEIAAAD4kXRwQgAAgOQ5fnBCAADANjSIcEIAAACJLpJwQgAAAKoxm3BCAABA/CulcEIAAMDo065wQgAAADvOuHBCAACAJ3bCcEIAAMB5cMxwQgAAAMxq1nBCAACAuBLgcEIAAMAKDepwQgAAQPe083BCAACASa/9cEIAAMCbqQdxQgAAwLysEHFCAAAAD6cacUIAAID7TiRxQgAAwE1JLnFCAABAOvE3cUIAAICM60FxQgAAwN7lS3FCAABAy41VcUIAAIAdiF9xQgAAAAowaXFCAABAXCpzcUIAAICuJH1xQgAAQDV6hnFCAACAh3SQcUIAAAB0HJpxQgAAQMYWpHFCAADAsr6tcUIAAAAFubdxQgAAQFezwXFCAADAQ1vLcUIAAACWVdVxQgAAgIL93nFCAADA1PfocUIAAAAn8vJxQgAAAEj1+3FCAABAmu8FckIAAMCGlw9yQgAAANmRGXJCAACAxTkjckIAAMAXNC1yQgAAAGouN3JCAACAVtZAckIAAMCo0EpyQgAAQJV4VHJCAACA53JeckIAAMA5bWhyQgAAwFpwcXJCAAAArWp7ckIAAICZEoVyQgAAwOsMj3JCAABA2LSYckIAAIAqr6JyQgAAwHyprHJCAABAaVG2ckIAAIC7S8ByQgAAAKjzyXJCAABA+u3TckIAAIBM6N1yQgAAgG3r5nJCAADAv+XwckIAAECsjfpyQgAAgP6HBHNCAAAA6y8Oc0IAAEA9KhhzQgAAgI8kInNCAAAAfMwrc0IAAEDOxjVzQgAAwLpuP3NCAAAADWlJc0IAAEBfY1NzQgAAAOa4XHNCAABAOLNmc0IAAMAkW3BzQgAAAHdVenNCAACAY/2Dc0IAAMC1941zQgAAAAjyl3NCAACA9Jmhc0IAAMBGlKtzQgAAQDM8tXNCAACAhTa/c0IAAMDXMMlzQgAAwPgz0nNCAAAASy7cc0IAAIA31uVzQgAAwInQ73NCAABAdnj5c0IAAIDIcgN0QgAAwBptDXRCAABABxUXdEIAAIBZDyF0QgAAAEa3KnRCAABAmLE0dEIAAIDqqz50QgAAgAuvR3RCAADAXalRdEIAAEBKUVt0QgAAgJxLZXRCAAAAifNudEIAAEDb7Xh0QgAAgC3ognRCAAAAGpCMdEIAAEBsipZ0QgAAwFgyoHRCAAAAqyyqdEIAAED9JrR0QgAAQB4qvXRCAACAcCTHdEIAAABdzNB0QgAAQK/G2nRCAADAm27kdEIAAADuaO50QgAAQEBj+HRCAADALAsCdUIAAAB/BQx1QgAAgGutFXVCAADAvacfdUIAAAAQoil1QgAAwJb3MnVCAAAA6fE8dUIAAIDVmUZ1QgAAwCeUUHVCAABAFDxadUIAAIBmNmR1QgAAwLgwbnVCAABApdh3dUIAAID30oF1QgAAAOR6i3VCAABANnWVdUIAAICIb591QgAAgKlyqHVC\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"05c05ea5-5819-48e2-8b50-6330fafae240\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"7ed53857-6c2f-4189-a0a8-1853682baa68\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"57d11df4-908c-4723-996e-13da3b447cda\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"percent Natural Gas\",\"formatter\":{\"id\":\"00ab7bd8-78a0-45ef-a5d9-ed7ddf2568cc\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"27cf419c-7ce2-4837-ad81-b7960846f9ec\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7ed53857-6c2f-4189-a0a8-1853682baa68\",\"type\":\"BasicTicker\"}},\"id\":\"f4018579-b927-43fb-8e4f-cc930932a6cd\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"2bf54a96-7667-478c-8e4c-6d5c72d2adf4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"356c5011-2efe-4bba-a8d0-83ab14dfc496\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4f/TrbsIzEME/BsERHNXlwj/wAJIE+0PPP+94y7k7C9k/Dhu/UpbA3D/PJxmThcTVPxVIKp2a4NU/t6e0uolpxz8gIH0KeoKjP79pzLN1gKM/zR5l8DNnzL87if18jOGuv4NgP2gA0rS/SC4xs8gBuL8Hv02hVIOzv5DDi7gcnKm/G1CclwAOnj/VYWm7YRp0PzxXkk4Kk38/i6PNPRu7tb82Q8LRW9fAv2Tj1C89VcW/zsrb4Aeb1j9FRFtz9D3hP8RupuCDZ+I/KvdC9Chn4z/mioOQndTnP94Fbs4CGus/6BF0Xzdg7j8wimuhvrPrP1PBk+Nx1+o/mMQAOTSa6T+CS2kW/njoP9Bb5Zmb++c/m8XvxVGmzL/IF3BqJJDVv1kWVCo6mNK/kWbKVjHE0r+KWcTuv4jSvyuTg5NJF4e/2jwLXR4McD8Y/zP4MkOTP23ZycJIMpM/gOhthdJcmj8FC8OG2uuGP6UiuMw0PZe/cjLRryzxsD9rhyvJB//HP0ZNu5z7ONI//fmeOuth0j9LNRI9Y4PTP3HpCCAXfMg/pvXihcSjzz975ZzrxwjOP4i+DRtBOdA/o1+xJ4i1zz/Bk+LrVLfPPyDRJtX8OtI/HQEZEPsY0j/2ewZFf4y9PzqC1O+y7NG/1SWR72W81L+/yivuYkvUvyITzTLZNc+/5BA0jxN9yL8075QlA7HMv4IM9xfnbc2/oHYbvFNB0b9clBJLTRHRv+hqE6n7ktC/+LPoKpmB0L8ILIt9C53Qv5Hc6lkkxtC/CNf71eOMzr8CYpePa8fMvy4G1w43NMu/0zYihsXrub9XnRkLM4zAvzQzKXKW5L+/F8nNrBbmxL9NrITKtNXRv9WqC4pmmdO/UzxCwqKN27+GZkN+T3DXv2Yflp/ecdm/vhZulHAP17/YD8CQEa29vy5dWm1NJsg/rh2l6Ncm0D/AOJWfBSvFPwq6fn+9u8A/5O6Sliv0oD/EPEm2y7ikvwUh7saLjq2/N5YBRUv4uL+KdB1JE9+Dv3CKixa2w7E/KxMeamD5zz8PsF+ICyrOP5iu9M8dnMs/viVGI7TDzD+5KJSogr3TP5+UoZxim9g/KLVQkIxH3T+9MRcNQAPdPyzSxmwzzdc/CSN7vtO62D/wVZ2WGWHSPy2mV23U9tQ/zIop2yZt0T9udbxwGjzTPyZyJrqHnso/vSLHSIkUwD8MVvPe/HywP13SpDDYhJQ/TdqtOBrPur9mwP27shrGv5Xyuy23+ba/SZoy0m1Gsj/nVnY+z2LYP3J+VXBNlM4/RC3CVrD80D89nbXHn5zXP2/kONBH0dc/3kQu/Cki0z94x1IrbkHBP0i147+Oma4/+r95bD/dq7+eGLim9NO3v5hXx1cYfqi/rfeRr6vEqr/pVWHrdfjFv6yFHW+QfcI/qSOUpk35zD+JYUDQEZrUP1iRbSpLYdQ/8dgA/Ato1D8pxs/W0lnUP7NK0+Fmo9M/Xez5w7Y5zT813AXd6VytP1JenMMzkri/fQPEbPbcwL/8ZsN+54C8vw+s5H/F4tC/1pB31pRx1b+aOcjXAOHYvywlhAta4dq/D/7/crWh2r+kf/fT+tvZvy5KaAZzEtm/WGGi7mKv2b8rEpTFLRTZv/AWj1ZpAti/sEnK00k50r+7zaftd9HVvyj6yAH/Fdq/thpEWx0Rsz8tCr6EjzasP+sspDwmJsY/lg4aJ6ejwT+3jJhHsifBPxIR0RhKA7Q/dS/Y20EInj+BZk35wySmv1qM7Ygfl52/BEBVY7dsnb8S0msFxXeqvxxhUb/Qprs/rk141bLD0T/fhID21QXkP/eYtSSVyek/9nOHMhZ+6j/UdixyqE3pP93krlWbG+c/pRB+enBR5z+N4DjWY7roP8+D3Sz17OU/zXk4emCo5D8ReDnYvqTlP6bSe7wvo+U/AZQ+FuQy4z+FssxnNArZP7GrP2Of8so/\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"2657183c-786b-43c4-ad7a-2a05af7ba624\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"ec0f271f-d31d-4891-a258-3ecbd955669c\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"490c0404-fcbd-4fee-b8a2-3596bd11f4a9\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"332bff33-27cd-479d-a7e9-69fa7f62f6da\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"a225238c-6bc4-430b-b9e6-8d42435284a9\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"plot\":null,\"text\":\"SPP 26.0% to 30.6% Natural Gas\"},\"id\":\"71c458b8-e17e-4e6f-ad74-53b4217b4ff2\",\"type\":\"Title\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2b7badc4-233b-4985-8bce-3014af740a6d\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e2871eb4-b993-45cf-8d24-2c83b29106f4\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":{\"id\":\"4c58089a-c8db-4d78-b751-439f400c5904\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a05ade15-b4bd-4253-a9c3-5450aaff1039\",\"type\":\"BasicTicker\"}},\"id\":\"c1913433-f2a6-4903-87ce-90e082d82a51\",\"type\":\"Grid\"},{\"attributes\":{\"children\":[{\"id\":\"bc0d6783-a4c3-492e-8116-e59dd187c2c8\",\"type\":\"ToolbarBox\"},{\"id\":\"3875eed3-55fb-4c3f-97c9-fb790712a430\",\"type\":\"Column\"}]},\"id\":\"e9114d05-d549-4556-a3ed-5ccde2386c1d\",\"type\":\"Column\"},{\"attributes\":{\"plot\":{\"id\":\"27cf419c-7ce2-4837-ad81-b7960846f9ec\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7ed53857-6c2f-4189-a0a8-1853682baa68\",\"type\":\"BasicTicker\"}},\"id\":\"917ee378-c18b-4cd3-bf76-dc7e596dad2b\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"end\":0.75},\"id\":\"69eb14ce-17d2-472b-a796-a7e946ec5b5e\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"ad6e3aca-62e9-4ea7-a9f4-720cf4ce3086\",\"type\":\"LinearScale\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"3927c94c-eef2-4e56-aee9-1c1500fea92c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"022b92cc-c7a9-42b7-a3cc-6d83b92bf073\",\"type\":\"BasicTicker\"}},\"id\":\"fea9e87f-e3d1-4ba7-a3a3-4d9f0ddd4ae0\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"4a944c81-d780-4cf2-92c8-26fdb59b11d2\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":0.75},\"id\":\"d4de9ddc-dc2f-4e6e-b322-e4fadbc6e2a6\",\"type\":\"Range1d\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"8f91cbdd-cdad-4648-baa7-8f8a99051396\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"2bf54a96-7667-478c-8e4c-6d5c72d2adf4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6caadb2e-cdb5-4cb5-9bbc-814029d9bdeb\",\"type\":\"BasicTicker\"}},\"id\":\"97f1afec-e588-40e3-aa8c-9bb4abaa4b40\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"09e0fca0-bd5f-445a-9193-54322f4fa0c3\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"percent Natural Gas\",\"formatter\":{\"id\":\"8d648a61-f1be-43d2-b213-cf23b348d41b\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"2bf54a96-7667-478c-8e4c-6d5c72d2adf4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6e843e40-d64d-4d60-996b-17f1ad96fd87\",\"type\":\"BasicTicker\"}},\"id\":\"8d8b75b7-c8ee-4725-953d-396e75b999b6\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"e430f09d-fd8e-40a2-a6ea-b0698ea6c463\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"7f07cb71-ba8f-46b6-a254-74a000e62e69\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"eb89a8d8-4640-4997-b33c-8bf6bbd8e1b6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"95c18a59-8bcb-4f74-bebd-74acb220612a\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"7a25ff5c-87e3-442c-9e48-46714927f794\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":null,\"text\":\"RFC 5.9% to 27.5% Natural Gas\"},\"id\":\"932a1b8e-919c-4cf5-8e2c-32479b63bc18\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"eb74b28b-9065-434e-aeda-e1a09d3415db\",\"type\":\"LinearScale\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"50515aa1-23fa-487e-b664-e72ba4f799ad\",\"type\":\"HoverTool\"}]},\"id\":\"5db42b78-563d-446b-90ff-70c71fac461b\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"00ab7bd8-78a0-45ef-a5d9-ed7ddf2568cc\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"b595ea30-53e5-460b-9a0d-03dfb6ce6504\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6aaa7c9c-2348-4bfa-8d53-3baff0490da9\",\"type\":\"BasicTicker\"}},\"id\":\"82886524-08f2-4c77-bc98-14f41bc78de5\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"984a2157-b993-480a-87b1-07e571724ec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"5a6e5e20-f830-4f01-8dc3-c22e826978ea\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4f2PzKEhwDd4/+9LtiASG0j+o95F5FC3SPxDm3DO8iLo/p3TTcKxqxD+dQJh6rf3JP2daQAPw18U/hNF2H73PyD95yWitMiB0v/CljHGSD7I/IRMBAKxYvD8baZHHhw22Pz6QIxfBXbo/hYIT0hQFuz+Ja39mtJC4P5wxFI/dJKk/FK9OWndLvL+iPuKLIPmhP3c8A5qAikQ/JfyIT/XHe79khYvdm/J8P3qRyel3wpk/ZjALpbg1mj+MOymIKgm3PwWY2B//TLg/j/dgGNFExj+EPUXUR0m8P8GUp5S7F7k/PS8V+e6UuD8VGXztzma1vzCXL5Mhkba/gPDKorrIuL++wa0jFa3Jv3jwC+FbO8O/7gvmfnqEpb/6nIE/b1wzv5TX1+yZi5I/a9BADI+iy79e5goIk9HOv0KGaOcOdtC/gG9WP3yP07/9nMJFEmJtv1g8gbRjN3i/nmRWU4Kunz9xaj4QFnbFP9N6ubtBvck/Fe+MBdRKxD+BX30XOz7OPzC2F5VEBM4/RpujMydc1j81Po7Sl/TcP+UsYWlmduE/+FOVbGvB5j/YfqQQAdjoP5zqO14iHOk/HaG5S0sD5T9/2U6BaKjaP8Qbf8uCJtI/Id513XIUwj9KdhNGzU/DP/DWK1YrNqO/cUbNo4jvoL9vjNQDTm+5P5wu0IOlL7k/71sCdJQ8dz88qF8/6C2+v3q4bPdiPr6/zyA9Xkibyr/S9HAMC83Kv9s3YvouttC/nGs6EE1VyL9+9uDZ482Xvzmt6cceraW//H3XjrHMij/Flpx6XBu1v2K5CcXff3q/MdfiYASZl79HIJbaAFzIP7kZhY/IYsQ/AI8iT/jeuz+QInZZ75S+v7s4LqGB1Mm/uxeotk07yr+PBih7GWPMv6ojG16Yv8q/+OcB1Tf/xr/D/TpZ7di9v0oDT5r37Zo/ppNS5a1v1D+eFWYW25TjP8yrF7fIeeY/rmsvOIDj4D9pJdOaWbTeP413zy3E+t8/XsufAWpW3T/yDj6GMtvdPxXxOTBMedw/8hDEmgkKxj9d/UGu1UfEPy1pxtXdC8o/0T4QBZL6yz9GHJG4buK2P9kCAJLeFMQ/8olMsjpc4z/D84GxXvbnP/x1OrwbHuY/ZqIreRjd6T/avoe3MgrrP5WERiCaH+s/YHvkvIz36j+SxQ5FMDnrP2OGKYgyLuw/tmAw0YYk6z/IfIFTGKXvP/veG7Zj3+8/ZSizvOMJ5z9mPAahxl7cP93kpSEHB9Y/9Y1jCVdY1z/nA1X4aHTiP7TcliRZk+g/1uCFgf/o5T9XIIUj7xHoP13OVROHMe8/g9238LxI8j9hBxRXz8TyPwxTRLIMo/I/G/PNBAAF8z8BbaW7qsTzPxKYdnpuuvM/p0r8lSHF8z+EhQvp4LLyPxgsjyzzivE/69G4dKq78T8wkaXwQZTwP2Q31vLA8ug/dqcwAFyv5T8cTXFJ0ZXkPwxsncDIRuY/UikmawZ54j/HMLcrE9DaP8VWQmqhTOE/YL/Rb0Vc7D8hbYL6n+bwP+nKM6viAfE/+gIE+DnF8z+uHDJ5tEn0PxASjFPqUvU/C+Am+3Ir9D9wUBrZnIj3P9YcGCpF3fc/ZmhoCPt88z9a8vBcApvzPwKRzRHcMvM/8tRPg0mD8T+BcA7dbR3wPwthleK/SfI/v89jKjDe6z9sHbyDLfL1PwReYw/CGfQ/ZZWRKThz9z+SZKIgXmP1P5RR+1359vU/fiW8PQoa9j9/MHNwOYL2P0hWu2iWY/Y/8tyu53mX9D8JMzZrkcr0Pzp4rKWvWfY/1aQLZi2G9z9wu3p0BPbnP6iTO5PqMO0/E5mBXWDb6D/HoHm+lNvoP9+D4F5pbek/nL73HJD+6j9g6EClO/rvP5BQRypJsu4/PGJ40FOn8D9P2nyT1DnzP+DnE9sQpfE/caEzeWJK8T9LqYZHNgzxP/QDjUXZIuw/\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"b48bfb15-490a-4c48-86da-cf4c6128830e\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"end\":0.75},\"id\":\"67873128-173d-433e-b6be-b6f017e75249\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"end\":0.75},\"id\":\"9c89ac71-ea50-4b5a-a9f3-fff7fa897f6d\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"6aaa7c9c-2348-4bfa-8d53-3baff0490da9\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"54fcc25c-7b87-4722-8bca-00a1e743660f\",\"type\":\"BasicTicker\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"b3e6a251-cc8d-4795-85ef-e3a237eb5b3f\",\"type\":\"HoverTool\"}]},\"id\":\"18326f43-7d0e-4e49-b51e-df925c0a8b05\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"3927c94c-eef2-4e56-aee9-1c1500fea92c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"a444c562-66ab-4968-ab27-5b2909c67085\",\"type\":\"HoverTool\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"4c58089a-c8db-4d78-b751-439f400c5904\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"1dcea201-4f5a-44f2-aab6-0c7d8907b7da\",\"type\":\"BasicTicker\"}},\"id\":\"68e77e3b-1b26-468b-929f-6215bca2bbb5\",\"type\":\"Grid\"},{\"attributes\":{\"below\":[{\"id\":\"d2fd6327-11fb-438c-97c8-3edcc351b2cf\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"597626a6-8c91-4e6c-ab84-def1ab1d9129\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"d2fd6327-11fb-438c-97c8-3edcc351b2cf\",\"type\":\"LinearAxis\"},{\"id\":\"1b33b849-7128-409a-bbac-a523bc34fe7e\",\"type\":\"Grid\"},{\"id\":\"597626a6-8c91-4e6c-ab84-def1ab1d9129\",\"type\":\"LinearAxis\"},{\"id\":\"fea9e87f-e3d1-4ba7-a3a3-4d9f0ddd4ae0\",\"type\":\"Grid\"},{\"id\":\"a0d7907e-d680-47d7-a1ca-343ae8d76234\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"0846c55b-c5b6-4f4c-94c5-72d31eca756e\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"ec0f271f-d31d-4891-a258-3ecbd955669c\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"ccef8a15-209f-4b37-82e7-fc0b55fbe64b\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"2e958121-8778-4a6f-a05f-4948ea3dabfd\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"cbe5c46f-ab56-4a2a-ab92-77b3656713e3\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"bd39b110-626e-4dfa-b759-f4605693abc5\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"1d9ed58b-62e5-4e1d-b38c-de5608708376\",\"type\":\"LinearScale\"}},\"id\":\"3927c94c-eef2-4e56-aee9-1c1500fea92c\",\"subtype\":\"Figure\",\"type\":\"Plot\"}],\"root_ids\":[\"e9114d05-d549-4556-a3ed-5ccde2386c1d\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"bc16a319-b760-4d55-bc1c-25817127f410\",\"elementid\":\"a9d9b3dd-2a91-4fa8-95c2-b95c928b3c93\",\"modelid\":\"e9114d05-d549-4556-a3ed-5ccde2386c1d\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"a9d9b3dd-2a91-4fa8-95c2-b95c928b3c93\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_bokeh_plot(gen_index, 'Natural Gas', 'percent Natural Gas', \n",
    "                  'change in norm variability',\n",
    "                  y_range=(-1, 7), x_range=(0, 0.75))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Change in Natural Gas vs Change in norm variability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T11:53:28.652003",
     "start_time": "2017-07-18T11:53:28.040374"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"8e7f74e6-0aa0-493a-8bca-499a570a6e96\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<div style='background-color: #fdd'>\\n\"+\n",
       "       \"<p>\\n\"+\n",
       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "       \"</p>\\n\"+\n",
       "       \"<ul>\\n\"+\n",
       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "       \"</ul>\\n\"+\n",
       "       \"<code>\\n\"+\n",
       "       \"from bokeh.resources import INLINE\\n\"+\n",
       "       \"output_notebook(resources=INLINE)\\n\"+\n",
       "       \"</code>\\n\"+\n",
       "       \"</div>\"}};\n",
       "  \n",
       "    function display_loaded() {\n",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"8e7f74e6-0aa0-493a-8bca-499a570a6e96\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        var s = document.createElement('script');\n",
       "        s.src = url;\n",
       "        s.async = false;\n",
       "        s.onreadystatechange = s.onload = function() {\n",
       "          window._bokeh_is_loading--;\n",
       "          if (window._bokeh_is_loading === 0) {\n",
       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"8e7f74e6-0aa0-493a-8bca-499a570a6e96\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '8e7f74e6-0aa0-493a-8bca-499a570a6e96' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"c7ce03be-13af-4976-aa8d-8817730a90e0\":{\"roots\":{\"references\":[{\"attributes\":{\"children\":[{\"id\":\"45a93f47-c850-4ec2-bb30-4224853cd2dc\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"d7784c43-dbcd-47f8-a273-ec04f005866d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"8222821b-d7d3-45cd-97b1-158b54ae69f8\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"2d9e6e5e-9c89-4658-a241-8a888708d9de\",\"type\":\"Row\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"aae01568-b15f-4877-bfc0-f228d70a701c\",\"type\":\"Range1d\"},{\"attributes\":{\"plot\":{\"id\":\"5bef37fc-40c7-424c-92a0-277773f71952\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"489d7a00-411b-4a71-b23f-1c9ee50fd950\",\"type\":\"BasicTicker\"}},\"id\":\"688c208b-5a23-4d29-b5b4-bb450be6e80e\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"ff57eece-592b-44ef-8ded-512e2cda437f\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"18b6a777-0b5e-4956-8394-2053fa20ea29\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"children\":[{\"id\":\"8a66f08b-7eb7-4b42-a885-e8423e9b2d10\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"c0f34046-3b74-4d92-a43b-1f42cb426926\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"7c875d4a-9247-4d5b-acb9-3d9dcc59ae40\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"2ff54789-347c-4a40-83c3-cef0a7d84426\",\"type\":\"Row\"},{\"attributes\":{\"plot\":{\"id\":\"45a93f47-c850-4ec2-bb30-4224853cd2dc\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4b96eec0-3218-4806-9272-101bfd6e0c34\",\"type\":\"BasicTicker\"}},\"id\":\"bae862bd-34ef-4527-82b7-f92dc25944bc\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"c8fd6ade-8731-4863-8e75-c024c1bf36c5\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"1b89cf1a-9c91-478d-9bb8-75a48132bf09\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"8a66f08b-7eb7-4b42-a885-e8423e9b2d10\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"035383b1-b0a6-4ac2-ae0b-6de6f46dbd74\",\"type\":\"BasicTicker\"}},\"id\":\"4b6c1405-e5d2-49db-abf5-d827b5af8c2e\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"c5d6fc0b-fc8b-4e0b-8266-8548b6ebc856\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"c6e76d09-8301-449b-b8cf-4dea81537d94\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in Natural Gas\",\"formatter\":{\"id\":\"defe28e7-7571-443c-87d4-fd5f1ebe42f5\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"45a93f47-c850-4ec2-bb30-4224853cd2dc\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4b96eec0-3218-4806-9272-101bfd6e0c34\",\"type\":\"BasicTicker\"}},\"id\":\"18795db0-ac71-4254-87f6-4a25a0caef8e\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"d4e86e12-fa92-4a61-aa1f-2b3f2e77c525\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"5a2ac71b-4fcc-49d5-ae4f-75081e81933d\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1f1d3ddc-7054-45e3-bc74-f79e9f16261d\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"2ece02a7-64b2-4b27-8902-cd8d52c05b78\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"7c875d4a-9247-4d5b-acb9-3d9dcc59ae40\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"42cac98b-63c4-4798-80dd-63a20c668799\",\"type\":\"HoverTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"f20d8568-5436-4c5d-b2e9-e4ad4fad3034\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"change in Natural Gas\",\"formatter\":{\"id\":\"e6dcd9a8-3b48-403c-88cf-a04df7b8f58e\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"7c875d4a-9247-4d5b-acb9-3d9dcc59ae40\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e383a4d3-47cf-4289-92b1-c58942d47ebe\",\"type\":\"BasicTicker\"}},\"id\":\"85f0f8d4-cf8d-43f4-8590-d1ff11284f51\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"e3ae9944-be21-4dc5-b26d-5bf395654e1f\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"45a93f47-c850-4ec2-bb30-4224853cd2dc\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9538353e-c2d0-427b-96a9-bd76d7dd7f21\",\"type\":\"BasicTicker\"}},\"id\":\"c0c5b680-3af8-4cea-88c0-f2c4200df3b5\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"f6c48e67-b432-47eb-800c-8527da19cd6e\",\"type\":\"Range1d\"},{\"attributes\":{\"data_source\":{\"id\":\"4473ca5e-1515-4aa6-b454-820f4186ce70\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"f20d8568-5436-4c5d-b2e9-e4ad4fad3034\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"8f9ccf15-3128-4dc4-9b5d-6eb9db89d7f8\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"9865d94c-dfa0-4e02-9c3d-8ac175cee05a\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"d2f0e24a-5436-44ec-a22b-72051423122b\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"cb238adf-0741-422a-9ec7-05bdf2ad742c\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"below\":[{\"id\":\"c03d6b63-9cff-49b7-8640-dd60a857f5f0\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"ff28bd68-1927-4528-8204-f8baaed3ba35\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"c03d6b63-9cff-49b7-8640-dd60a857f5f0\",\"type\":\"LinearAxis\"},{\"id\":\"dee91f42-1b91-45fe-b5ad-521a91b0cade\",\"type\":\"Grid\"},{\"id\":\"ff28bd68-1927-4528-8204-f8baaed3ba35\",\"type\":\"LinearAxis\"},{\"id\":\"8a61c1be-aea9-440f-adfd-8688d15a7cb1\",\"type\":\"Grid\"},{\"id\":\"faaf4872-3f0a-42e7-929d-58b1c2c0c928\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"f61d9817-8619-42b8-aa87-592a86311753\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"4062df7f-14ef-4b04-a3f3-93b52c89f5a0\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"c57e2ad2-8c43-4cca-8116-d840254dff57\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"25a2f804-6a91-489b-866b-336d16e88880\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"66008ad1-fd40-4367-b059-cc9b60d1f02f\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"2507b095-eae1-4f33-8381-eb14a9d3d979\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"223edd47-7e9e-4b39-990f-67a29bb234d1\",\"type\":\"LinearScale\"}},\"id\":\"8222821b-d7d3-45cd-97b1-158b54ae69f8\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"53665097-3f74-4b2c-afca-f0eb7e77a896\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"407bd2ad-7e4c-4f28-adc1-727e00a19e25\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"8a5801eb-1cf8-43f2-901b-510961ec8c7e\",\"type\":\"HoverTool\"},{\"attributes\":{\"plot\":null,\"text\":\"MRO 5.5% to 11.5% Natural Gas\"},\"id\":\"9951ecb2-c0e4-4f30-be4b-59f1c698e0aa\",\"type\":\"Title\"},{\"attributes\":{\"data_source\":{\"id\":\"7506dba8-d831-40eb-883e-3a52971344a9\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"526c9b57-26c3-4fe2-a753-067c8c3745e1\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"d7953550-1d2e-42e6-9ef1-5e205ea1955f\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"faaf4872-3f0a-42e7-929d-58b1c2c0c928\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"f8169d49-470b-43eb-8197-3edf1ae0bb96\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"009f66b5-5a05-41db-b593-7cec2b5ac42c\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"7c875d4a-9247-4d5b-acb9-3d9dcc59ae40\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d2f0e24a-5436-44ec-a22b-72051423122b\",\"type\":\"BasicTicker\"}},\"id\":\"31ab8fcf-216c-4122-84ae-cd305aa9c683\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null},\"id\":\"98fbe47b-f878-4aea-a917-286ee03f2ef0\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"b80f9ad1-860c-45b2-b7d3-cea36d64dac7\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null},\"id\":\"94ec58ad-3420-4a90-bc71-ed461e9726c7\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1b89cf1a-9c91-478d-9bb8-75a48132bf09\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"bee18c24-960a-4830-a6a7-17bc4f5082c9\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"8222821b-d7d3-45cd-97b1-158b54ae69f8\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"26799a34-5ec9-4288-941b-7903f4e6bc30\",\"type\":\"BasicTicker\"}},\"id\":\"ff28bd68-1927-4528-8204-f8baaed3ba35\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"bb58d3fd-aa28-4688-9c74-94f7817123aa\",\"type\":\"ToolEvents\"},{\"attributes\":{\"data_source\":{\"id\":\"b80f9ad1-860c-45b2-b7d3-cea36d64dac7\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"591233c7-7b74-4318-be73-b10679472cb1\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"5d6ea39d-d39a-44ad-8f1b-196d82d72d69\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"6402089b-979f-42d0-980d-8b73745bfb85\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null},\"id\":\"53b9a842-ab50-42c8-9ca9-f18a3a2d8db5\",\"type\":\"DataRange1d\"},{\"attributes\":{\"below\":[{\"id\":\"aa4e3d55-edb6-4717-92a7-6a6c67da2fee\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"4bcd3d1d-a6a6-4bd2-ba3f-14e37185a04f\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"aa4e3d55-edb6-4717-92a7-6a6c67da2fee\",\"type\":\"LinearAxis\"},{\"id\":\"688c208b-5a23-4d29-b5b4-bb450be6e80e\",\"type\":\"Grid\"},{\"id\":\"4bcd3d1d-a6a6-4bd2-ba3f-14e37185a04f\",\"type\":\"LinearAxis\"},{\"id\":\"ba50f2b0-5155-4d46-9ea5-0871afdc382a\",\"type\":\"Grid\"},{\"id\":\"274798ee-5dae-4ee0-9b63-94d69d7165b3\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"9951ecb2-c0e4-4f30-be4b-59f1c698e0aa\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"f8169d49-470b-43eb-8197-3edf1ae0bb96\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"d445c902-f3df-4be3-bffd-ed897bbad098\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"a3abfc3a-9dbc-4d48-8688-1a4ce8ba2e2f\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"d0fe7fba-32b2-4562-8770-3c2c3a98613f\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"aae01568-b15f-4877-bfc0-f228d70a701c\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"f2e5daed-e348-4b70-b5df-6e59f8aaf885\",\"type\":\"LinearScale\"}},\"id\":\"5bef37fc-40c7-424c-92a0-277773f71952\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"c8c694f3-645d-4304-92a1-227a7fde8810\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"fe9f0d76-5ec1-4c32-bbd1-9af372da788e\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"bee18c24-960a-4830-a6a7-17bc4f5082c9\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"d7784c43-dbcd-47f8-a273-ec04f005866d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"14cdbfe9-a4d4-40b6-97e7-cc2779a3711d\",\"type\":\"BasicTicker\"}},\"id\":\"52699cd7-9077-46cd-ab29-9a04e5f123dd\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"a678c7b2-8cc1-447a-b24f-ec57cda39b71\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"b5943455-71f8-4688-8aae-671f6b098780\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"407bd2ad-7e4c-4f28-adc1-727e00a19e25\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"cb46f0b2-1788-4038-8d1a-5e0bb85ab0d4\",\"type\":\"BasicTicker\"}},\"id\":\"57f804ed-81c8-48cd-9967-64321db3e6e3\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"f980f121-b8e2-4446-abb8-f7ff91c1897c\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"7c875d4a-9247-4d5b-acb9-3d9dcc59ae40\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d2f0e24a-5436-44ec-a22b-72051423122b\",\"type\":\"BasicTicker\"}},\"id\":\"3a5794ea-5af9-4078-9d83-cd8d30da77f2\",\"type\":\"LinearAxis\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"45a93f47-c850-4ec2-bb30-4224853cd2dc\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9538353e-c2d0-427b-96a9-bd76d7dd7f21\",\"type\":\"BasicTicker\"}},\"id\":\"390f2000-1ffc-4a4a-b298-636739fd71dd\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"de88c703-376c-4094-a0a7-97462fecedcc\",\"type\":\"BasicTicker\"},{\"attributes\":{\"children\":[{\"id\":\"2d9e6e5e-9c89-4658-a241-8a888708d9de\",\"type\":\"Row\"},{\"id\":\"2ff54789-347c-4a40-83c3-cef0a7d84426\",\"type\":\"Row\"},{\"id\":\"4321197f-ffaf-429b-8c0d-bf29d51a5d3a\",\"type\":\"Row\"}]},\"id\":\"8ed08221-bbc5-46c3-a870-3443906e964e\",\"type\":\"Column\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"4a6a77e8-d411-4ca7-973c-209f8694a713\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"5865de87-efe2-42bd-9488-60626cb41c00\",\"type\":\"Range1d\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"e786f924-7865-4652-afbe-a8e80c545efb\",\"type\":\"HoverTool\"}]},\"id\":\"c57e2ad2-8c43-4cca-8116-d840254dff57\",\"type\":\"Toolbar\"},{\"attributes\":{\"below\":[{\"id\":\"5041a41d-ceb6-4b5e-8506-e0e607823ac4\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"1dc8b1d8-9330-4893-8bfc-67bcbd4ce1e6\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"5041a41d-ceb6-4b5e-8506-e0e607823ac4\",\"type\":\"LinearAxis\"},{\"id\":\"12f0d058-8ee6-4a3b-b503-cff88c33dc72\",\"type\":\"Grid\"},{\"id\":\"1dc8b1d8-9330-4893-8bfc-67bcbd4ce1e6\",\"type\":\"LinearAxis\"},{\"id\":\"b6e6e5d6-5c14-422e-81af-6e06f83b84f3\",\"type\":\"Grid\"},{\"id\":\"b510cae7-0c5d-4f44-8cbe-17e65009c2f5\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"5871f5e0-31e6-407f-ac1b-dc62fb41d263\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"d65452c1-e1ff-4a32-bd28-314cbf7efccb\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"773a47bd-8a96-40a3-bb54-1a548295f196\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"95ec86db-0e8c-4e07-8ef7-815807a03f0d\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"c01c892d-7e02-4c13-b670-d0772ef9226e\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"44f0efc5-4c0e-4a9f-a853-4d36166dbdab\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"8fdef640-e51a-4207-858b-dca137ffcf15\",\"type\":\"LinearScale\"}},\"id\":\"c0f34046-3b74-4d92-a43b-1f42cb426926\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"c0f34046-3b74-4d92-a43b-1f42cb426926\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d4bdc45b-b0b3-400c-ad1e-a43b6fe7c2ac\",\"type\":\"BasicTicker\"}},\"id\":\"b6e6e5d6-5c14-422e-81af-6e06f83b84f3\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"5d6ea39d-d39a-44ad-8f1b-196d82d72d69\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"0360c106-7c7d-4fd2-8ee9-d28861787089\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"4473ca5e-1515-4aa6-b454-820f4186ce70\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"b5251d98-7cef-4b14-8704-f379e3d54458\",\"type\":\"Range1d\"},{\"attributes\":{\"axis_label\":\"change in Natural Gas\",\"formatter\":{\"id\":\"cb238adf-0741-422a-9ec7-05bdf2ad742c\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"8222821b-d7d3-45cd-97b1-158b54ae69f8\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"009f66b5-5a05-41db-b593-7cec2b5ac42c\",\"type\":\"BasicTicker\"}},\"id\":\"c03d6b63-9cff-49b7-8640-dd60a857f5f0\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"c642cf89-ce12-400e-94f8-d2f6ce02c2dd\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"8a5801eb-1cf8-43f2-901b-510961ec8c7e\",\"type\":\"HoverTool\"}]},\"id\":\"f71de82c-7563-4d62-b785-0112a8098d5b\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"cb46f0b2-1788-4038-8d1a-5e0bb85ab0d4\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null},\"id\":\"25a2f804-6a91-489b-866b-336d16e88880\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"8fdef640-e51a-4207-858b-dca137ffcf15\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in Natural Gas\",\"formatter\":{\"id\":\"d4912bd9-34b4-4978-80a9-806cf4ea126a\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"8a66f08b-7eb7-4b42-a885-e8423e9b2d10\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"0360c106-7c7d-4fd2-8ee9-d28861787089\",\"type\":\"BasicTicker\"}},\"id\":\"3172f737-20e7-4498-aa0d-805725442e1c\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"8a66f08b-7eb7-4b42-a885-e8423e9b2d10\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"0360c106-7c7d-4fd2-8ee9-d28861787089\",\"type\":\"BasicTicker\"}},\"id\":\"dd91d4e6-6677-4d24-813f-89446e368fec\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":null,\"text\":\"WECC 26.0% to 29.9% Natural Gas\"},\"id\":\"f61d9817-8619-42b8-aa87-592a86311753\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"5bef37fc-40c7-424c-92a0-277773f71952\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"a400659e-456a-4186-84d3-6a3182685183\",\"type\":\"HoverTool\"},{\"attributes\":{\"plot\":{\"id\":\"407bd2ad-7e4c-4f28-adc1-727e00a19e25\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5a00f891-937e-40aa-aa37-c94132ec597d\",\"type\":\"BasicTicker\"}},\"id\":\"8153e278-2d16-4a76-9ac2-449aa9fe3226\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"e383a4d3-47cf-4289-92b1-c58942d47ebe\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1f1d3ddc-7054-45e3-bc74-f79e9f16261d\",\"type\":\"Circle\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"fa7d7e60-ee74-487d-a7c9-b425a6a1d574\",\"type\":\"HoverTool\"}]},\"id\":\"773a47bd-8a96-40a3-bb54-1a548295f196\",\"type\":\"Toolbar\"},{\"attributes\":{\"below\":[{\"id\":\"53910053-8e4d-4793-bbbd-a73cb5251ec4\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"57f804ed-81c8-48cd-9967-64321db3e6e3\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"53910053-8e4d-4793-bbbd-a73cb5251ec4\",\"type\":\"LinearAxis\"},{\"id\":\"8153e278-2d16-4a76-9ac2-449aa9fe3226\",\"type\":\"Grid\"},{\"id\":\"57f804ed-81c8-48cd-9967-64321db3e6e3\",\"type\":\"LinearAxis\"},{\"id\":\"0d95320e-76f3-47fe-bdb8-4854c17d2f86\",\"type\":\"Grid\"},{\"id\":\"9865d94c-dfa0-4e02-9c3d-8ac175cee05a\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"4240a5e1-38ab-468b-8a12-a2faf4195c1b\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"c8c694f3-645d-4304-92a1-227a7fde8810\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"f71de82c-7563-4d62-b785-0112a8098d5b\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"2ee3598c-e78b-4e00-8d0e-e40b8563d89b\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"c6e76d09-8301-449b-b8cf-4dea81537d94\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"f6c48e67-b432-47eb-800c-8527da19cd6e\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"c5d6fc0b-fc8b-4e0b-8266-8548b6ebc856\",\"type\":\"LinearScale\"}},\"id\":\"407bd2ad-7e4c-4f28-adc1-727e00a19e25\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis_label\":\"change in Natural Gas\",\"formatter\":{\"id\":\"9bb9d89b-8c1f-485c-9807-760f71d54731\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"407bd2ad-7e4c-4f28-adc1-727e00a19e25\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5a00f891-937e-40aa-aa37-c94132ec597d\",\"type\":\"BasicTicker\"}},\"id\":\"53910053-8e4d-4793-bbbd-a73cb5251ec4\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"66008ad1-fd40-4367-b059-cc9b60d1f02f\",\"type\":\"LinearScale\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"6355011f-4a38-4ef2-90b6-7f1f8ae772f3\",\"type\":\"HoverTool\"}]},\"id\":\"d59b5f86-a8c1-465a-a24d-3f41736daa13\",\"type\":\"Toolbar\"},{\"attributes\":{\"data_source\":{\"id\":\"d695e92c-3956-4415-b7b5-a7750d5b7116\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"4a6a77e8-d411-4ca7-973c-209f8694a713\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"594720e1-f896-468e-9615-b44c4c609c0d\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"becb04c1-d0b4-473f-a0db-4f970f706f79\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"ddf70e63-8bf7-4c52-8e0f-aaf3b48b8653\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":null,\"text\":\"FRCC 38.0% to 66.4% Natural Gas\"},\"id\":\"cb728e97-80b4-41cd-8634-7b583a719a0d\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"f980f121-b8e2-4446-abb8-f7ff91c1897c\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"47d57a54-d22c-4db8-ae29-b1dfe841c5a1\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"489d7a00-411b-4a71-b23f-1c9ee50fd950\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"035bbfd9-f3cd-4bcd-83cc-41d6de4ad341\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"a7eac729-d1c9-4f22-9326-e4c62cd75f75\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"c813d0a1-0992-4746-8963-4e5214bfac40\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"274798ee-5dae-4ee0-9b63-94d69d7165b3\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"plot\":{\"id\":\"8222821b-d7d3-45cd-97b1-158b54ae69f8\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"009f66b5-5a05-41db-b593-7cec2b5ac42c\",\"type\":\"BasicTicker\"}},\"id\":\"dee91f42-1b91-45fe-b5ad-521a91b0cade\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"035bbfd9-f3cd-4bcd-83cc-41d6de4ad341\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"a400659e-456a-4186-84d3-6a3182685183\",\"type\":\"HoverTool\"}]},\"id\":\"d445c902-f3df-4be3-bffd-ed897bbad098\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"8222821b-d7d3-45cd-97b1-158b54ae69f8\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"e786f924-7865-4652-afbe-a8e80c545efb\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"14cdbfe9-a4d4-40b6-97e7-cc2779a3711d\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"594720e1-f896-468e-9615-b44c4c609c0d\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"8f9ccf15-3128-4dc4-9b5d-6eb9db89d7f8\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":{\"id\":\"7c875d4a-9247-4d5b-acb9-3d9dcc59ae40\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e383a4d3-47cf-4289-92b1-c58942d47ebe\",\"type\":\"BasicTicker\"}},\"id\":\"4c39d610-9e78-45ae-bc1d-3eb3d993d19a\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"8a66f08b-7eb7-4b42-a885-e8423e9b2d10\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"6f798397-f154-497e-9f60-a12b3a8a0fb0\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"26799a34-5ec9-4288-941b-7903f4e6bc30\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null},\"id\":\"95ec86db-0e8c-4e07-8ef7-815807a03f0d\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"95324f22-14f2-4a10-853e-01ca7c84d995\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"5a00f891-937e-40aa-aa37-c94132ec597d\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"7bfd9de0-4eee-489a-b753-c0afb6a51aae\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"035383b1-b0a6-4ac2-ae0b-6de6f46dbd74\",\"type\":\"BasicTicker\"},{\"attributes\":{\"below\":[{\"id\":\"18795db0-ac71-4254-87f6-4a25a0caef8e\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"c0c5b680-3af8-4cea-88c0-f2c4200df3b5\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"18795db0-ac71-4254-87f6-4a25a0caef8e\",\"type\":\"LinearAxis\"},{\"id\":\"bae862bd-34ef-4527-82b7-f92dc25944bc\",\"type\":\"Grid\"},{\"id\":\"c0c5b680-3af8-4cea-88c0-f2c4200df3b5\",\"type\":\"LinearAxis\"},{\"id\":\"390f2000-1ffc-4a4a-b298-636739fd71dd\",\"type\":\"Grid\"},{\"id\":\"6402089b-979f-42d0-980d-8b73745bfb85\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"a83c1f56-6ea4-4d5d-aacf-67cf3ca15576\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"db858721-fe14-4468-8bda-3ca16b528767\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"b2ffb79e-3126-4d7f-a35e-1ec095564024\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"53b9a842-ab50-42c8-9ca9-f18a3a2d8db5\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"0d843647-468e-41d9-b3a9-94698edd6d3a\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"9898c141-374e-4745-9775-583ffb07536c\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"c8fd6ade-8731-4863-8e75-c024c1bf36c5\",\"type\":\"LinearScale\"}},\"id\":\"45a93f47-c850-4ec2-bb30-4224853cd2dc\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"9898c141-374e-4745-9775-583ffb07536c\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"d65452c1-e1ff-4a32-bd28-314cbf7efccb\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"0d843647-468e-41d9-b3a9-94698edd6d3a\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in Natural Gas\",\"formatter\":{\"id\":\"921f91e8-e5d8-4522-801e-853a785e277d\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"d7784c43-dbcd-47f8-a273-ec04f005866d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8e362558-86bd-4541-b4b3-178a38f54a1f\",\"type\":\"BasicTicker\"}},\"id\":\"1838d10d-579b-4bda-8114-c6cc55492d79\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"7506dba8-d831-40eb-883e-3a52971344a9\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"plot\":{\"id\":\"c0f34046-3b74-4d92-a43b-1f42cb426926\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e5767943-b641-46c3-93c4-1c3c2e722202\",\"type\":\"BasicTicker\"}},\"id\":\"12f0d058-8ee6-4a3b-b503-cff88c33dc72\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"ddf70e63-8bf7-4c52-8e0f-aaf3b48b8653\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"5bef37fc-40c7-424c-92a0-277773f71952\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"de88c703-376c-4094-a0a7-97462fecedcc\",\"type\":\"BasicTicker\"}},\"id\":\"4bcd3d1d-a6a6-4bd2-ba3f-14e37185a04f\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"18b6a777-0b5e-4956-8394-2053fa20ea29\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"d7784c43-dbcd-47f8-a273-ec04f005866d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"14cdbfe9-a4d4-40b6-97e7-cc2779a3711d\",\"type\":\"BasicTicker\"}},\"id\":\"47c1fa3f-e604-4d5e-864a-616f5f609ae9\",\"type\":\"LinearAxis\"},{\"attributes\":{\"below\":[{\"id\":\"1838d10d-579b-4bda-8114-c6cc55492d79\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"47c1fa3f-e604-4d5e-864a-616f5f609ae9\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"1838d10d-579b-4bda-8114-c6cc55492d79\",\"type\":\"LinearAxis\"},{\"id\":\"897fbb87-8e61-475e-a968-ed0f4aa7773a\",\"type\":\"Grid\"},{\"id\":\"47c1fa3f-e604-4d5e-864a-616f5f609ae9\",\"type\":\"LinearAxis\"},{\"id\":\"52699cd7-9077-46cd-ab29-9a04e5f123dd\",\"type\":\"Grid\"},{\"id\":\"becb04c1-d0b4-473f-a0db-4f970f706f79\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"05e2fc96-9916-4cd2-8145-c2ad0b79791d\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"bb58d3fd-aa28-4688-9c74-94f7817123aa\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"d59b5f86-a8c1-465a-a24d-3f41736daa13\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"98fbe47b-f878-4aea-a917-286ee03f2ef0\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"a678c7b2-8cc1-447a-b24f-ec57cda39b71\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"b5251d98-7cef-4b14-8704-f379e3d54458\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"ff57eece-592b-44ef-8ded-512e2cda437f\",\"type\":\"LinearScale\"}},\"id\":\"d7784c43-dbcd-47f8-a273-ec04f005866d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":null,\"text\":\"SERC 10.2% to 31.1% Natural Gas\"},\"id\":\"4240a5e1-38ab-468b-8a12-a2faf4195c1b\",\"type\":\"Title\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"591233c7-7b74-4318-be73-b10679472cb1\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"53665097-3f74-4b2c-afca-f0eb7e77a896\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c0f34046-3b74-4d92-a43b-1f42cb426926\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d4bdc45b-b0b3-400c-ad1e-a43b6fe7c2ac\",\"type\":\"BasicTicker\"}},\"id\":\"1dc8b1d8-9330-4893-8bfc-67bcbd4ce1e6\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"e3ae9944-be21-4dc5-b26d-5bf395654e1f\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"6477e700-a129-4e7e-8d6e-0c67b04b85d1\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"c0f34046-3b74-4d92-a43b-1f42cb426926\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"fa7d7e60-ee74-487d-a7c9-b425a6a1d574\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"9538353e-c2d0-427b-96a9-bd76d7dd7f21\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"bd5a57bf-790e-4479-b792-67c04d31318d\",\"type\":\"Range1d\"},{\"attributes\":{\"plot\":null,\"text\":\"RFC 5.9% to 27.5% Natural Gas\"},\"id\":\"5871f5e0-31e6-407f-ac1b-dc62fb41d263\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"d695e92c-3956-4415-b7b5-a7750d5b7116\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"5a2ac71b-4fcc-49d5-ae4f-75081e81933d\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"e72bdf05-45db-44bd-bab2-fd01536c59ac\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null},\"id\":\"a3abfc3a-9dbc-4d48-8688-1a4ce8ba2e2f\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"defe28e7-7571-443c-87d4-fd5f1ebe42f5\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":null,\"text\":\"SPP 26.0% to 30.6% Natural Gas\"},\"id\":\"8120432d-fc9d-4d9e-8050-78db4cd2be6a\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"dbc179e9-0e38-4b32-8188-fcf75773b2da\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"d4912bd9-34b4-4978-80a9-806cf4ea126a\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"526c9b57-26c3-4fe2-a753-067c8c3745e1\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"8e362558-86bd-4541-b4b3-178a38f54a1f\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"2507b095-eae1-4f33-8381-eb14a9d3d979\",\"type\":\"Range1d\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"8222821b-d7d3-45cd-97b1-158b54ae69f8\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"26799a34-5ec9-4288-941b-7903f4e6bc30\",\"type\":\"BasicTicker\"}},\"id\":\"8a61c1be-aea9-440f-adfd-8688d15a7cb1\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":{\"id\":\"d7784c43-dbcd-47f8-a273-ec04f005866d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8e362558-86bd-4541-b4b3-178a38f54a1f\",\"type\":\"BasicTicker\"}},\"id\":\"897fbb87-8e61-475e-a968-ed0f4aa7773a\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in Natural Gas\",\"formatter\":{\"id\":\"6f2c0e70-5462-46c1-87c8-cb9bb72c935c\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"5bef37fc-40c7-424c-92a0-277773f71952\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"489d7a00-411b-4a71-b23f-1c9ee50fd950\",\"type\":\"BasicTicker\"}},\"id\":\"aa4e3d55-edb6-4717-92a7-6a6c67da2fee\",\"type\":\"LinearAxis\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"407bd2ad-7e4c-4f28-adc1-727e00a19e25\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"cb46f0b2-1788-4038-8d1a-5e0bb85ab0d4\",\"type\":\"BasicTicker\"}},\"id\":\"0d95320e-76f3-47fe-bdb8-4854c17d2f86\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"d7953550-1d2e-42e6-9ef1-5e205ea1955f\",\"type\":\"Circle\"},{\"attributes\":{\"below\":[{\"id\":\"3172f737-20e7-4498-aa0d-805725442e1c\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"4b6c1405-e5d2-49db-abf5-d827b5af8c2e\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"3172f737-20e7-4498-aa0d-805725442e1c\",\"type\":\"LinearAxis\"},{\"id\":\"dd91d4e6-6677-4d24-813f-89446e368fec\",\"type\":\"Grid\"},{\"id\":\"4b6c1405-e5d2-49db-abf5-d827b5af8c2e\",\"type\":\"LinearAxis\"},{\"id\":\"531df1ee-229e-42c6-95be-b2446cd9e4d1\",\"type\":\"Grid\"},{\"id\":\"2ece02a7-64b2-4b27-8902-cd8d52c05b78\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"cb728e97-80b4-41cd-8634-7b583a719a0d\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"dbc179e9-0e38-4b32-8188-fcf75773b2da\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"fc65455e-adc6-45b1-8c89-412fafea413c\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"73ca5f5b-8212-4b19-ada5-06f3afa1b0e4\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"7bfd9de0-4eee-489a-b753-c0afb6a51aae\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"5865de87-efe2-42bd-9488-60626cb41c00\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"47d57a54-d22c-4db8-ae29-b1dfe841c5a1\",\"type\":\"LinearScale\"}},\"id\":\"8a66f08b-7eb7-4b42-a885-e8423e9b2d10\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"d4bdc45b-b0b3-400c-ad1e-a43b6fe7c2ac\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"c01c892d-7e02-4c13-b670-d0772ef9226e\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"e5767943-b641-46c3-93c4-1c3c2e722202\",\"type\":\"BasicTicker\"},{\"attributes\":{\"children\":[{\"id\":\"5bef37fc-40c7-424c-92a0-277773f71952\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"407bd2ad-7e4c-4f28-adc1-727e00a19e25\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"4321197f-ffaf-429b-8c0d-bf29d51a5d3a\",\"type\":\"Row\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"5bef37fc-40c7-424c-92a0-277773f71952\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"de88c703-376c-4094-a0a7-97462fecedcc\",\"type\":\"BasicTicker\"}},\"id\":\"ba50f2b0-5155-4d46-9ea5-0871afdc382a\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"c00faa16-6e53-421d-a75d-de2d4187b381\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"c813d0a1-0992-4746-8963-4e5214bfac40\",\"type\":\"Circle\"},{\"attributes\":{\"below\":[{\"id\":\"85f0f8d4-cf8d-43f4-8590-d1ff11284f51\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"3a5794ea-5af9-4078-9d83-cd8d30da77f2\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"85f0f8d4-cf8d-43f4-8590-d1ff11284f51\",\"type\":\"LinearAxis\"},{\"id\":\"4c39d610-9e78-45ae-bc1d-3eb3d993d19a\",\"type\":\"Grid\"},{\"id\":\"3a5794ea-5af9-4078-9d83-cd8d30da77f2\",\"type\":\"LinearAxis\"},{\"id\":\"31ab8fcf-216c-4122-84ae-cd305aa9c683\",\"type\":\"Grid\"},{\"id\":\"9ec8dc25-d409-4daa-ae86-6b4c1474cdd4\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"8120432d-fc9d-4d9e-8050-78db4cd2be6a\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"fe9f0d76-5ec1-4c32-bbd1-9af372da788e\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"c2cf7c16-cd6e-4c32-a6bc-3dbf0051280e\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"94ec58ad-3420-4a90-bc71-ed461e9726c7\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"dc4ad51e-5166-4aa4-af0c-7256ef6cb1a5\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"bd5a57bf-790e-4479-b792-67c04d31318d\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"e72bdf05-45db-44bd-bab2-fd01536c59ac\",\"type\":\"LinearScale\"}},\"id\":\"7c875d4a-9247-4d5b-acb9-3d9dcc59ae40\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"44f0efc5-4c0e-4a9f-a853-4d36166dbdab\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"45a93f47-c850-4ec2-bb30-4224853cd2dc\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"6500d634-08de-49a4-9d3a-f116331dc1e5\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"9bb9d89b-8c1f-485c-9807-760f71d54731\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"a7eac729-d1c9-4f22-9326-e4c62cd75f75\",\"type\":\"Circle\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"6f798397-f154-497e-9f60-a12b3a8a0fb0\",\"type\":\"HoverTool\"}]},\"id\":\"fc65455e-adc6-45b1-8c89-412fafea413c\",\"type\":\"Toolbar\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"8a66f08b-7eb7-4b42-a885-e8423e9b2d10\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"035383b1-b0a6-4ac2-ae0b-6de6f46dbd74\",\"type\":\"BasicTicker\"}},\"id\":\"531df1ee-229e-42c6-95be-b2446cd9e4d1\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null},\"id\":\"2ee3598c-e78b-4e00-8d0e-e40b8563d89b\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"706f5cbb-e1fa-4c94-8190-37cb6f644880\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"dc4ad51e-5166-4aa4-af0c-7256ef6cb1a5\",\"type\":\"LinearScale\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"42cac98b-63c4-4798-80dd-63a20c668799\",\"type\":\"HoverTool\"}]},\"id\":\"c2cf7c16-cd6e-4c32-a6bc-3dbf0051280e\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"223edd47-7e9e-4b39-990f-67a29bb234d1\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"e6dcd9a8-3b48-403c-88cf-a04df7b8f58e\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"921f91e8-e5d8-4522-801e-853a785e277d\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"f2e5daed-e348-4b70-b5df-6e59f8aaf885\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"4062df7f-14ef-4b04-a3f3-93b52c89f5a0\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"4b96eec0-3218-4806-9272-101bfd6e0c34\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"AACA5vR4bEIAAACL6YxsQgAAAM3vnmxCAACAceSybEIAAIBKNMZsQgAAAO8o2mxCAAAAyHjtbEIAAIBsbQFtQgAAABFiFW1CAAAA6rEobUIAAICOpjxtQgAAgGf2T21CAAAADOtjbUIAAICw33dtQgAAgPLliW1CAAAAl9qdbUIAAABwKrFtQgAAgBQfxW1CAACA7W7YbUIAAACSY+xtQgAAgDZYAG5CAACAD6gTbkIAAAC0nCduQgAAAI3sOm5CAACAMeFObkIAAADW1WJuQgAAABjcdG5CAACAvNCIbkIAAICVIJxuQgAAADoVsG5CAAAAE2XDbkIAAIC3WdduQgAAAFxO625CAAAANZ7+bkIAAIDZkhJvQgAAgLLiJW9CAAAAV9c5b0IAAID7y01vQgAAAAl3YG9CAACArWt0b0IAAICGu4dvQgAAACuwm29CAAAABACvb0IAAICo9MJvQgAAAE3p1m9CAAAAJjnqb0IAAIDKLf5vQgAAwNG+CHBCAAAAJLkScEIAAEB2sxxwQgAAQJe2JXBCAACA6bAvcEIAAADWWDlwQgAAQChTQ3BCAADAFPtMcEIAAABn9VZwQgAAQLnvYHBCAADApZdqcEIAAAD4kXRwQgAAgOQ5fnBCAADANjSIcEIAAACJLpJwQgAAAKoxm3BCAABA/CulcEIAAMDo065wQgAAADvOuHBCAACAJ3bCcEIAAMB5cMxwQgAAAMxq1nBCAACAuBLgcEIAAMAKDepwQgAAQPe083BCAACASa/9cEIAAMCbqQdxQgAAwLysEHFCAAAAD6cacUIAAID7TiRxQgAAwE1JLnFCAABAOvE3cUIAAICM60FxQgAAwN7lS3FCAABAy41VcUIAAIAdiF9xQgAAAAowaXFCAABAXCpzcUIAAICuJH1xQgAAQDV6hnFCAACAh3SQcUIAAAB0HJpxQgAAQMYWpHFCAADAsr6tcUIAAAAFubdxQgAAQFezwXFCAADAQ1vLcUIAAACWVdVxQgAAgIL93nFCAADA1PfocUIAAAAn8vJxQgAAAEj1+3FCAABAmu8FckIAAMCGlw9yQgAAANmRGXJCAACAxTkjckIAAMAXNC1yQgAAAGouN3JCAACAVtZAckIAAMCo0EpyQgAAQJV4VHJCAACA53JeckIAAMA5bWhyQgAAwFpwcXJCAAAArWp7ckIAAICZEoVyQgAAwOsMj3JCAABA2LSYckIAAIAqr6JyQgAAwHyprHJCAABAaVG2ckIAAIC7S8ByQgAAAKjzyXJCAABA+u3TckIAAIBM6N1yQgAAgG3r5nJCAADAv+XwckIAAECsjfpyQgAAgP6HBHNCAAAA6y8Oc0IAAEA9KhhzQgAAgI8kInNCAAAAfMwrc0IAAEDOxjVzQgAAwLpuP3NCAAAADWlJc0IAAEBfY1NzQgAAAOa4XHNCAABAOLNmc0IAAMAkW3BzQgAAAHdVenNCAACAY/2Dc0IAAMC1941zQgAAAAjyl3NCAACA9Jmhc0IAAMBGlKtzQgAAQDM8tXNCAACAhTa/c0IAAMDXMMlzQgAAwPgz0nNCAAAASy7cc0IAAIA31uVzQgAAwInQ73NCAABAdnj5c0IAAIDIcgN0QgAAwBptDXRCAABABxUXdEIAAIBZDyF0QgAAAEa3KnRCAABAmLE0dEIAAIDqqz50QgAAgAuvR3RCAADAXalRdEIAAEBKUVt0QgAAgJxLZXRCAAAAifNudEIAAEDb7Xh0QgAAgC3ognRCAAAAGpCMdEIAAEBsipZ0QgAAwFgyoHRCAAAAqyyqdEIAAED9JrR0QgAAQB4qvXRCAACAcCTHdEIAAABdzNB0QgAAQK/G2nRCAADAm27kdEIAAADuaO50QgAAQEBj+HRCAADALAsCdUIAAAB/BQx1QgAAgGutFXVCAADAvacfdUIAAAAQoil1QgAAwJb3MnVCAAAA6fE8dUIAAIDVmUZ1QgAAwCeUUHVCAABAFDxadUIAAIBmNmR1QgAAwLgwbnVCAABApdh3dUIAAID30oF1QgAAAOR6i3VCAABANnWVdUIAAICIb591QgAAgKlyqHVC\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"d4e86e12-fa92-4a61-aa1f-2b3f2e77c525\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"6f2c0e70-5462-46c1-87c8-cb9bb72c935c\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data_source\":{\"id\":\"95324f22-14f2-4a10-853e-01ca7c84d995\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"6477e700-a129-4e7e-8d6e-0c67b04b85d1\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"c00faa16-6e53-421d-a75d-de2d4187b381\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"b510cae7-0c5d-4f44-8cbe-17e65009c2f5\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"6500d634-08de-49a4-9d3a-f116331dc1e5\",\"type\":\"HoverTool\"}]},\"id\":\"b2ffb79e-3126-4d7f-a35e-1ec095564024\",\"type\":\"Toolbar\"},{\"attributes\":{\"sizing_mode\":\"scale_width\",\"toolbar_location\":\"above\",\"tools\":[{\"id\":\"6500d634-08de-49a4-9d3a-f116331dc1e5\",\"type\":\"HoverTool\"},{\"id\":\"6355011f-4a38-4ef2-90b6-7f1f8ae772f3\",\"type\":\"HoverTool\"},{\"id\":\"e786f924-7865-4652-afbe-a8e80c545efb\",\"type\":\"HoverTool\"},{\"id\":\"6f798397-f154-497e-9f60-a12b3a8a0fb0\",\"type\":\"HoverTool\"},{\"id\":\"fa7d7e60-ee74-487d-a7c9-b425a6a1d574\",\"type\":\"HoverTool\"},{\"id\":\"42cac98b-63c4-4798-80dd-63a20c668799\",\"type\":\"HoverTool\"},{\"id\":\"a400659e-456a-4186-84d3-6a3182685183\",\"type\":\"HoverTool\"},{\"id\":\"8a5801eb-1cf8-43f2-901b-510961ec8c7e\",\"type\":\"HoverTool\"}]},\"id\":\"ed08c37b-2ced-4944-ba9d-07c290c3e4a6\",\"type\":\"ToolbarBox\"},{\"attributes\":{\"callback\":null},\"id\":\"73ca5f5b-8212-4b19-ada5-06f3afa1b0e4\",\"type\":\"DataRange1d\"},{\"attributes\":{\"data_source\":{\"id\":\"c642cf89-ce12-400e-94f8-d2f6ce02c2dd\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"30990079-f5d1-4b6d-aae4-a9f7c9338555\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"96d19f60-44f8-4899-a98a-9351451ed99d\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"9ec8dc25-d409-4daa-ae86-6b4c1474cdd4\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"d7784c43-dbcd-47f8-a273-ec04f005866d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"6355011f-4a38-4ef2-90b6-7f1f8ae772f3\",\"type\":\"HoverTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"96d19f60-44f8-4899-a98a-9351451ed99d\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":null,\"text\":\"ERCOT 49.8% to 49.9% Natural Gas\"},\"id\":\"05e2fc96-9916-4cd2-8145-c2ad0b79791d\",\"type\":\"Title\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"30990079-f5d1-4b6d-aae4-a9f7c9338555\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"d0fe7fba-32b2-4562-8770-3c2c3a98613f\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"b5943455-71f8-4688-8aae-671f6b098780\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"change in Natural Gas\",\"formatter\":{\"id\":\"706f5cbb-e1fa-4c94-8190-37cb6f644880\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c0f34046-3b74-4d92-a43b-1f42cb426926\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e5767943-b641-46c3-93c4-1c3c2e722202\",\"type\":\"BasicTicker\"}},\"id\":\"5041a41d-ceb6-4b5e-8506-e0e607823ac4\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"db858721-fe14-4468-8bda-3ca16b528767\",\"type\":\"ToolEvents\"},{\"attributes\":{\"plot\":null,\"text\":\"NPCC 29.1% to 45.3% Natural Gas\"},\"id\":\"a83c1f56-6ea4-4d5d-aacf-67cf3ca15576\",\"type\":\"Title\"},{\"attributes\":{\"children\":[{\"id\":\"ed08c37b-2ced-4944-ba9d-07c290c3e4a6\",\"type\":\"ToolbarBox\"},{\"id\":\"8ed08221-bbc5-46c3-a870-3443906e964e\",\"type\":\"Column\"}]},\"id\":\"fad4ad81-876e-435d-8b24-3e8f0c01fba9\",\"type\":\"Column\"}],\"root_ids\":[\"fad4ad81-876e-435d-8b24-3e8f0c01fba9\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"c7ce03be-13af-4976-aa8d-8817730a90e0\",\"elementid\":\"8e7f74e6-0aa0-493a-8bca-499a570a6e96\",\"modelid\":\"fad4ad81-876e-435d-8b24-3e8f0c01fba9\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"8e7f74e6-0aa0-493a-8bca-499a570a6e96\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_bokeh_plot(gen_index, 'Natural Gas', 'change in Natural Gas', \n",
    "                  'change in norm variability', y_range=(-1, 7))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hydro"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Percent Hydro vs Change in norm variability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T11:53:38.512750",
     "start_time": "2017-07-18T11:53:37.882928"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"12885eb6-4475-4670-9f39-2ca280d55995\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<div style='background-color: #fdd'>\\n\"+\n",
       "       \"<p>\\n\"+\n",
       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "       \"</p>\\n\"+\n",
       "       \"<ul>\\n\"+\n",
       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "       \"</ul>\\n\"+\n",
       "       \"<code>\\n\"+\n",
       "       \"from bokeh.resources import INLINE\\n\"+\n",
       "       \"output_notebook(resources=INLINE)\\n\"+\n",
       "       \"</code>\\n\"+\n",
       "       \"</div>\"}};\n",
       "  \n",
       "    function display_loaded() {\n",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"12885eb6-4475-4670-9f39-2ca280d55995\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        var s = document.createElement('script');\n",
       "        s.src = url;\n",
       "        s.async = false;\n",
       "        s.onreadystatechange = s.onload = function() {\n",
       "          window._bokeh_is_loading--;\n",
       "          if (window._bokeh_is_loading === 0) {\n",
       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"12885eb6-4475-4670-9f39-2ca280d55995\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '12885eb6-4475-4670-9f39-2ca280d55995' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"0caf1db2-ef94-4605-a729-7845d2d6ca51\":{\"roots\":{\"references\":[{\"attributes\":{},\"id\":\"330ba2d5-463a-45dd-9085-42021629e2ee\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"9eafb5d1-fb4b-41f6-ba97-c9d4ff4ec274\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"49231def-6f6b-431a-a4b5-f8105c370004\",\"type\":\"Circle\"},{\"attributes\":{\"below\":[{\"id\":\"a9803d39-5bd0-412a-836c-5386d32e8a89\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"4b69dd90-66ec-4f88-a486-93e4aacb3701\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"a9803d39-5bd0-412a-836c-5386d32e8a89\",\"type\":\"LinearAxis\"},{\"id\":\"bc4429ae-3a29-415b-b849-96cf10b4eead\",\"type\":\"Grid\"},{\"id\":\"4b69dd90-66ec-4f88-a486-93e4aacb3701\",\"type\":\"LinearAxis\"},{\"id\":\"88f4d00a-edbc-444f-b40a-f19a420aa342\",\"type\":\"Grid\"},{\"id\":\"c2587814-2995-4081-b7fa-6b88217612bb\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"34a3aa0a-cc91-4b82-a68f-c1021459af43\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"cb5bc61a-7ed2-4e3b-a912-6fd07a560027\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"3b4235db-0c15-4a2e-879a-98603ae2fce6\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"1ebf2d7f-b9b6-4ae8-9366-f0b809748e1e\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"1d34b93e-0e79-4879-a5fe-4ceeea31fd91\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"f1bd3552-b2f6-46fd-a29a-7cda7f76c95a\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"1f6e7aeb-2116-45a5-b315-70d97434459a\",\"type\":\"LinearScale\"}},\"id\":\"c43a37d8-b25b-483f-af63-854022408fe5\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"below\":[{\"id\":\"4e59e8ff-19b9-456a-b6b2-fd0fde29718a\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"d3aec73d-1f3f-41d0-a26c-222737ff728e\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"4e59e8ff-19b9-456a-b6b2-fd0fde29718a\",\"type\":\"LinearAxis\"},{\"id\":\"6c2c829c-6c26-4ff3-8f42-5365971e0c72\",\"type\":\"Grid\"},{\"id\":\"d3aec73d-1f3f-41d0-a26c-222737ff728e\",\"type\":\"LinearAxis\"},{\"id\":\"0b5ec073-6a87-4315-aa46-70befb31df28\",\"type\":\"Grid\"},{\"id\":\"d6bf7a61-a8b1-4078-a002-f8908d78dd9b\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"f81e73ca-91eb-4b6d-b776-0b9d1cf06178\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"4f211617-337f-4e6a-911a-d0a55d748d87\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"e6870a92-4b6d-48f8-9b8a-c80fb8afa712\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"44224bf1-e64c-4141-b97b-418a9e65e387\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"d27c5d45-d35a-484e-84a3-94d9474f6b29\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"b8cb09a8-87fd-4102-9cd6-d20ddc42ed74\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"d93b1103-4311-4a2c-93fc-ccd90a7c79f3\",\"type\":\"LinearScale\"}},\"id\":\"2a04c4bd-2ee2-41bd-a76a-c2775671a7a1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":{\"id\":\"79dfad44-6ea3-465a-a3f7-5ce8a5b9cf1a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"918cf0a1-31de-46e4-9b49-c70dd12a3aa4\",\"type\":\"BasicTicker\"}},\"id\":\"cbac6b57-f2fd-4231-bfd9-aaa386e57b2b\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"6768edab-43b4-44e7-ae89-b5dd95e9a7c9\",\"type\":\"Circle\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"c43a37d8-b25b-483f-af63-854022408fe5\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2a05ac59-9285-4bd7-b371-fdaf5e78c9a4\",\"type\":\"BasicTicker\"}},\"id\":\"88f4d00a-edbc-444f-b40a-f19a420aa342\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":null,\"text\":\"SPP 2.3% to 1.9% Hydro\"},\"id\":\"b44e8dc0-7bfd-403a-8dc1-245cf1834bea\",\"type\":\"Title\"},{\"attributes\":{\"axis_label\":\"percent Hydro\",\"formatter\":{\"id\":\"805a63f4-18c4-46fa-a346-5869e55e4fb6\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"79dfad44-6ea3-465a-a3f7-5ce8a5b9cf1a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"918cf0a1-31de-46e4-9b49-c70dd12a3aa4\",\"type\":\"BasicTicker\"}},\"id\":\"3c834080-18e7-4622-8156-730b145227a2\",\"type\":\"LinearAxis\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"8754750d-fa45-44fa-9525-e358c017e805\",\"type\":\"HoverTool\"}]},\"id\":\"6afe7268-f882-4b03-8269-9d902acf6c47\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"805a63f4-18c4-46fa-a346-5869e55e4fb6\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e77f7063-08b5-47bd-82f0-afd7e357d707\",\"type\":\"Circle\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"3324cf40-2f32-406a-8e10-7e28d940bdbd\",\"type\":\"HoverTool\"}]},\"id\":\"8aa42318-3356-4073-95c2-4bbc28b9969c\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"015d518b-99ea-4215-9a8d-27e006c8b4fc\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1f6e7aeb-2116-45a5-b315-70d97434459a\",\"type\":\"LinearScale\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"30bf0c3f-e853-4858-9cb0-6b8446414fac\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d901ef97-14d4-43b3-bc7c-78c92c8849d5\",\"type\":\"BasicTicker\"}},\"id\":\"19beba18-1286-4ea5-bfab-a2948d986629\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"f5eace22-81b7-4d3d-98b8-bfddb7fc24fa\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"c448f3b8-4cb8-4768-983b-7e2c890e156e\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"b8cb09a8-87fd-4102-9cd6-d20ddc42ed74\",\"type\":\"Range1d\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"aee795ad-93e2-4c22-af8e-eda925b91c59\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e02216c4-b150-4816-bb82-bb3df5ed4dbb\",\"type\":\"BasicTicker\"}},\"id\":\"94637ead-9bda-441a-b2c8-d3598367840b\",\"type\":\"Grid\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"80969331-bc41-413c-a116-05710e061a0f\",\"type\":\"HoverTool\"}]},\"id\":\"d1927f55-ba62-410f-aff7-d0e6d7b5ce75\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1474965c-855b-439e-9dc2-ba56a8de6552\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"8bff4f7a-d4b5-47c9-bf67-8f9621b12636\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"a3260e39-85a0-4de6-a9e2-f68b0832f958\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"3390d410-f27e-4b30-b1ae-8c11648d572f\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"dfbafd3f-ad62-4fb3-8681-053b04ecee0a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"3324cf40-2f32-406a-8e10-7e28d940bdbd\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"30bf0c3f-e853-4858-9cb0-6b8446414fac\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"8754750d-fa45-44fa-9525-e358c017e805\",\"type\":\"HoverTool\"},{\"attributes\":{\"plot\":{\"id\":\"fd198e8a-6531-4fd5-a0fb-5d00f8fe842a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"67cf9f82-3145-4359-b8d6-27fd1ed22242\",\"type\":\"BasicTicker\"}},\"id\":\"e0884a33-4d24-4431-bd69-7866a86767f0\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"ba2c2556-5602-4158-bc48-8f1233cbc974\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":{\"id\":\"c43a37d8-b25b-483f-af63-854022408fe5\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"13a9691b-5624-4856-b5d9-8c653a3fa5ea\",\"type\":\"BasicTicker\"}},\"id\":\"bc4429ae-3a29-415b-b849-96cf10b4eead\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"percent Hydro\",\"formatter\":{\"id\":\"85d5e3b4-9d65-4fe0-8a70-82cd95557edf\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c43a37d8-b25b-483f-af63-854022408fe5\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"13a9691b-5624-4856-b5d9-8c653a3fa5ea\",\"type\":\"BasicTicker\"}},\"id\":\"a9803d39-5bd0-412a-836c-5386d32e8a89\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"percent Hydro\",\"formatter\":{\"id\":\"2fd14a6c-65f5-4d33-a6eb-9cd598d6357b\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"aee795ad-93e2-4c22-af8e-eda925b91c59\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"ba2c2556-5602-4158-bc48-8f1233cbc974\",\"type\":\"BasicTicker\"}},\"id\":\"0f37cdf1-405f-4532-809d-179a32771e0a\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"ca2af158-0ecc-4a0e-afbc-298cb963c30e\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"487842b3-6eb9-46a9-b700-51e6d712be0a\",\"type\":\"Range1d\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"4fde4aa5-cc95-41db-9fd1-9abe9e045374\",\"type\":\"HoverTool\"}]},\"id\":\"e6870a92-4b6d-48f8-9b8a-c80fb8afa712\",\"type\":\"Toolbar\"},{\"attributes\":{\"axis_label\":\"percent Hydro\",\"formatter\":{\"id\":\"9eafb5d1-fb4b-41f6-ba97-c9d4ff4ec274\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"1f45c378-566d-44f1-b886-a60ef8f310b7\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"330ba2d5-463a-45dd-9085-42021629e2ee\",\"type\":\"BasicTicker\"}},\"id\":\"8b339341-f752-4779-ba36-e7e62559fe4a\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"606d875b-f355-4107-82d8-1fea02ca7a14\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"c43a37d8-b25b-483f-af63-854022408fe5\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"36e28ac7-4174-43a8-bb1e-c1f58a91a785\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"ce5d2b41-d0e9-4efd-9331-25e4d4a1b079\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"13a9691b-5624-4856-b5d9-8c653a3fa5ea\",\"type\":\"BasicTicker\"},{\"attributes\":{\"below\":[{\"id\":\"0f37cdf1-405f-4532-809d-179a32771e0a\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"d8edf637-0801-4af2-b5d0-83592e2357bf\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"0f37cdf1-405f-4532-809d-179a32771e0a\",\"type\":\"LinearAxis\"},{\"id\":\"693fbd36-ff66-419e-b124-cfa47843ec7c\",\"type\":\"Grid\"},{\"id\":\"d8edf637-0801-4af2-b5d0-83592e2357bf\",\"type\":\"LinearAxis\"},{\"id\":\"94637ead-9bda-441a-b2c8-d3598367840b\",\"type\":\"Grid\"},{\"id\":\"399f6988-951d-40d5-a14b-fe5073eaea06\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"1de0ef3c-6732-4ce3-9817-e4fcb803f2fa\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"46150481-64db-4a5d-98b9-dfbd04272383\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"d1927f55-ba62-410f-aff7-d0e6d7b5ce75\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"a639a6c0-4282-4451-8189-54dca2c0d5b1\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"c448f3b8-4cb8-4768-983b-7e2c890e156e\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"b0b3af82-f400-4851-9d6e-08adfc1107d9\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"d0a38134-b83c-456b-8598-44c24210c577\",\"type\":\"LinearScale\"}},\"id\":\"aee795ad-93e2-4c22-af8e-eda925b91c59\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"120d50ae-8f3c-4d1a-bc43-2d88f2a896cc\",\"type\":\"Circle\"},{\"attributes\":{\"data_source\":{\"id\":\"d1b4edb0-f19d-47e3-80e5-8d44ca28cfe5\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"940b55a3-267f-49c5-87d5-305a1d52bfd2\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"49231def-6f6b-431a-a4b5-f8105c370004\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"3db91614-7edb-45b5-b894-a24e7d77d8ae\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1d34b93e-0e79-4879-a5fe-4ceeea31fd91\",\"type\":\"LinearScale\"},{\"attributes\":{\"below\":[{\"id\":\"6cf34b4a-0295-47ea-bdb2-0e3bcfe58195\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"a4b0671c-6f63-4f23-a954-c5c509190ee2\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"6cf34b4a-0295-47ea-bdb2-0e3bcfe58195\",\"type\":\"LinearAxis\"},{\"id\":\"72b68356-6fa0-4729-b315-8857f1471270\",\"type\":\"Grid\"},{\"id\":\"a4b0671c-6f63-4f23-a954-c5c509190ee2\",\"type\":\"LinearAxis\"},{\"id\":\"bc46ed19-18a2-4ccf-b4bc-7d7c79a421a1\",\"type\":\"Grid\"},{\"id\":\"0d561e78-6413-464c-b1bc-52bfc90a2c69\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"764992b7-76e2-4248-bc98-db606691bbc4\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"ea2c3868-09f2-4e0c-a1a7-06a225621b5b\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"8aa42318-3356-4073-95c2-4bbc28b9969c\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"6956fc0d-1ce2-4f64-8632-09a4fcc1821c\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"27f4dac2-6f6d-4bc1-b5c9-2b80f039189d\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"606d875b-f355-4107-82d8-1fea02ca7a14\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"3985d06c-16d0-4373-a968-5983762d5b1a\",\"type\":\"LinearScale\"}},\"id\":\"dfbafd3f-ad62-4fb3-8681-053b04ecee0a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"c1857ade-2cfa-41e0-9b22-2d82843f5e89\",\"type\":\"HoverTool\"}]},\"id\":\"9cd5b549-df5b-4c14-b63a-4f72db1cab65\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"d93b1103-4311-4a2c-93fc-ccd90a7c79f3\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"db821761-f2fc-4529-9fd6-984bef38ce5a\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"2a04c4bd-2ee2-41bd-a76a-c2775671a7a1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d4344812-9c70-4373-b4ba-0d671791a6e6\",\"type\":\"BasicTicker\"}},\"id\":\"d3aec73d-1f3f-41d0-a26c-222737ff728e\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"percent Hydro\",\"formatter\":{\"id\":\"8b139703-ce29-47d8-ad3a-0a7b0544e842\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"30bf0c3f-e853-4858-9cb0-6b8446414fac\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8bff4f7a-d4b5-47c9-bf67-8f9621b12636\",\"type\":\"BasicTicker\"}},\"id\":\"d1d4846b-0a41-46aa-a27c-1c47fda88c3a\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"7028efd7-53fb-4de3-bb4d-9029706811a1\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1d699751-4671-4727-a944-17b8659b811c\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"3985d06c-16d0-4373-a968-5983762d5b1a\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"79dfad44-6ea3-465a-a3f7-5ce8a5b9cf1a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"29623035-6113-4152-bba4-9e4ae3f1ccc9\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"end\":0.45},\"id\":\"404a5578-f8cb-4aa6-b6b1-f6da3f66cfdb\",\"type\":\"Range1d\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"7ed8ce47-673f-47e4-8bf7-948e9668ed0a\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"30bf0c3f-e853-4858-9cb0-6b8446414fac\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d901ef97-14d4-43b3-bc7c-78c92c8849d5\",\"type\":\"BasicTicker\"}},\"id\":\"46e96f8c-a4c9-46a4-892b-881b92f2e187\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"1f45c378-566d-44f1-b886-a60ef8f310b7\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"330ba2d5-463a-45dd-9085-42021629e2ee\",\"type\":\"BasicTicker\"}},\"id\":\"f5da6f2b-0b0e-4e2e-89a4-038c263e040e\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"2a04c4bd-2ee2-41bd-a76a-c2775671a7a1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d4344812-9c70-4373-b4ba-0d671791a6e6\",\"type\":\"BasicTicker\"}},\"id\":\"0b5ec073-6a87-4315-aa46-70befb31df28\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"46150481-64db-4a5d-98b9-dfbd04272383\",\"type\":\"ToolEvents\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"29623035-6113-4152-bba4-9e4ae3f1ccc9\",\"type\":\"HoverTool\"}]},\"id\":\"1ee8e8f4-910b-48c6-8062-db46bfab6463\",\"type\":\"Toolbar\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"36e28ac7-4174-43a8-bb1e-c1f58a91a785\",\"type\":\"HoverTool\"}]},\"id\":\"3b4235db-0c15-4a2e-879a-98603ae2fce6\",\"type\":\"Toolbar\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"940b55a3-267f-49c5-87d5-305a1d52bfd2\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"da77d29a-5e9a-4172-bf4f-fd21127a5c1f\",\"type\":\"Range1d\"},{\"attributes\":{\"children\":[{\"id\":\"2a04c4bd-2ee2-41bd-a76a-c2775671a7a1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"aee795ad-93e2-4c22-af8e-eda925b91c59\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"1f45c378-566d-44f1-b886-a60ef8f310b7\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"1a68bc5c-05d6-4e7e-8285-d72eb2739e33\",\"type\":\"Row\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"fd198e8a-6531-4fd5-a0fb-5d00f8fe842a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"dd5e6cec-7978-40ce-ac29-9015888f1e2c\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"27f4dac2-6f6d-4bc1-b5c9-2b80f039189d\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"5aee6849-1b6c-49c4-b2a9-e04bd4f3cd69\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"2fd14a6c-65f5-4d33-a6eb-9cd598d6357b\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"3904d918-de5f-4726-9cd6-bfea5eb6dd46\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"5fabc7fd-f129-43ba-9da7-831068b354c4\",\"type\":\"Range1d\"},{\"attributes\":{\"plot\":{\"id\":\"dfbafd3f-ad62-4fb3-8681-053b04ecee0a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a6f95690-81ea-451f-a020-9c70630a60a3\",\"type\":\"BasicTicker\"}},\"id\":\"72b68356-6fa0-4729-b315-8857f1471270\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"67cf9f82-3145-4359-b8d6-27fd1ed22242\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":null,\"text\":\"SERC 3.4% to 2.9% Hydro\"},\"id\":\"764992b7-76e2-4248-bc98-db606691bbc4\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"2a05ac59-9285-4bd7-b371-fdaf5e78c9a4\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"cb5bc61a-7ed2-4e3b-a912-6fd07a560027\",\"type\":\"ToolEvents\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"486ff382-b53e-46f3-8a0c-fac4d76f6597\",\"type\":\"Circle\"},{\"attributes\":{\"sizing_mode\":\"scale_width\",\"toolbar_location\":\"above\",\"tools\":[{\"id\":\"36e28ac7-4174-43a8-bb1e-c1f58a91a785\",\"type\":\"HoverTool\"},{\"id\":\"8754750d-fa45-44fa-9525-e358c017e805\",\"type\":\"HoverTool\"},{\"id\":\"dd5e6cec-7978-40ce-ac29-9015888f1e2c\",\"type\":\"HoverTool\"},{\"id\":\"4fde4aa5-cc95-41db-9fd1-9abe9e045374\",\"type\":\"HoverTool\"},{\"id\":\"80969331-bc41-413c-a116-05710e061a0f\",\"type\":\"HoverTool\"},{\"id\":\"c1857ade-2cfa-41e0-9b22-2d82843f5e89\",\"type\":\"HoverTool\"},{\"id\":\"29623035-6113-4152-bba4-9e4ae3f1ccc9\",\"type\":\"HoverTool\"},{\"id\":\"3324cf40-2f32-406a-8e10-7e28d940bdbd\",\"type\":\"HoverTool\"}]},\"id\":\"81d1b30a-5b42-4029-9aea-8c5999794a3b\",\"type\":\"ToolbarBox\"},{\"attributes\":{},\"id\":\"ae947186-dd16-4ffe-8e42-f6c6d6ef80f3\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"ca2af158-0ecc-4a0e-afbc-298cb963c30e\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"dfbafd3f-ad62-4fb3-8681-053b04ecee0a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"1d699751-4671-4727-a944-17b8659b811c\",\"type\":\"BasicTicker\"}},\"id\":\"a4b0671c-6f63-4f23-a954-c5c509190ee2\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"end\":0.45},\"id\":\"1ebf2d7f-b9b6-4ae8-9366-f0b809748e1e\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"b19d1c8a-44c9-4b10-a1ee-fe1a8a5722f9\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"dd2f1b7a-1f08-404a-9176-e3bdcf353ea5\",\"type\":\"LinearScale\"},{\"attributes\":{\"below\":[{\"id\":\"3c834080-18e7-4622-8156-730b145227a2\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"d3f8c794-a7cb-4e89-b88f-ba9afa82c33d\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"3c834080-18e7-4622-8156-730b145227a2\",\"type\":\"LinearAxis\"},{\"id\":\"cbac6b57-f2fd-4231-bfd9-aaa386e57b2b\",\"type\":\"Grid\"},{\"id\":\"d3f8c794-a7cb-4e89-b88f-ba9afa82c33d\",\"type\":\"LinearAxis\"},{\"id\":\"52004dab-1c99-4792-a4a3-f4cfd5e69095\",\"type\":\"Grid\"},{\"id\":\"6e7e0068-471e-4b44-aa6b-83fabe691ed3\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"2571e7f7-2065-47d7-bd0b-d7063fef56eb\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"8474acf5-ccca-48e6-b941-b35db089d83d\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"1ee8e8f4-910b-48c6-8062-db46bfab6463\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"ae05d0ff-ca53-4d35-9498-98cb39e3994e\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"b19d1c8a-44c9-4b10-a1ee-fe1a8a5722f9\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"487842b3-6eb9-46a9-b700-51e6d712be0a\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"515ee13f-54ec-4d9f-a0e4-d4e68fed68c8\",\"type\":\"LinearScale\"}},\"id\":\"79dfad44-6ea3-465a-a3f7-5ce8a5b9cf1a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":{\"id\":\"30bf0c3f-e853-4858-9cb0-6b8446414fac\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8bff4f7a-d4b5-47c9-bf67-8f9621b12636\",\"type\":\"BasicTicker\"}},\"id\":\"67d68c82-3f25-472e-84f7-e4b66476a05a\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"DVfFJpjRvT/mtOHbbPC/P7zGF45/LMA/zVgLRrGNwj8mM2BK/yTBPwHxoej0y7s/vYeOaQA1uD8w3DvJ/aazPwVSQrQ6LLY/ZhP1qYBDuD/fALQYV3y8P8JFgtlLB70/owM4lKrHuz9b1XvCSQXAP2gkuLbFZ8I/UvxeTTiIwz84qYF8zXPDP92QqOWtCcE/XQX8DpchuT+R2QO3eh62P1AL8IUCxbc/P3rtOXMTuj8885+8iyzAP/A0N+LCZr4/r9fuKHPMuj/IjZCczXy5PwuvhhkMpb4/wXv/rKlswD/jaO+yjTfCP7E06MjZO78/nitVV3LJtz9PXyUZjBW6PyNyDiKeO7o/OnCNlu6tvz+FdddzL7/CP0Fsf6q6IsI/krPpiXzovT/uZzghNcG7P88+CQISI8A/iuT1Ar8nwT+QhHmFi0K/P7zt+v9DEbs/8Rfj5f+fuT+fvrC+oxy7P6bmjNdhBb0/3uyqlshnvT/tqgrlZyu/P8WJl5CFab8/j9705GqYwD+nxR16fgzBP5T8RdS33cE/K1RgyD3zxD+7HfsylmXDP2p52JwZjrw/sXfOSmDctz+7lO0pydq0P7EXkZdeXLY/5fiq6skbvz88L9XFfrHCP6qFQl+AssA/KQWDODxGwz85e4qON0jDP8iCwdobc8I/2ArCOc1xwz8AfENzpvnCP2iiVRagL8A/amgGfPF7vD9mDjmFjFi9P8G4T2Bn97w/N9ObALtIwD/oVY44fEvDP5soKbeEE8E/qVVGFTXDwT//AZNU1RC9PxRR0iirFcE/Cn1jpAMkwj+8Wk1WtZPCP8dgDxCWIrs/EeL+PMrRtj/kIaE8jC61P14rS5b7Ybc/k7NMUeOtuj+FYeYKRdXAP69MZRzUw74/lBatTBeUwT8vxL1mpa7AP7b/XwGp3MM//X+Ugqoexj9nn2fu2fbDP5p12UDEp78/IyXMkE/qvD+zZqdOR3DAP39AvniZvrw/bi7yLQmJvj8i/van2h/CP+GOvG6E5sE/bS+5mqASwD+/aT/DjTvBP0tAip6Cn8Q/QLSBchlhxT/ImshG/ovFP/GIepNxncI/Qn6DItdkwj92hWn+jmC/P0f7rK6Ua78/QA/kmv3wwT8XmmsWm+/DPzIIu/d+PcM/1VP2soL2wD+Nb4/uEdbAPw20trjec8Q/pV9vV4qXxT8EwVJDL6nBP2DqyxQ8Kbw/EW37qHaktz+2U8kJmmC4P+EqPquUirk/jYHDz6YJwT9MhZ6eBWTCP03kpXudDsE/A+Ci4CeSvz+PQIaLwKe+P1KqEK1Ky8M/h5r+B4BBxT/PiRGYWU3HP0WjS+VXhMI/X9m+W8zluj+pvZqKLky8PxCsgxkavsA/mJROwYzewz+vky6iF9/DPxTr7WkfAMU/1Qu3pJGxwj/9/zAVYNrCP50uI09quMU/IhuDv+Vnwz9Y9dgfr1LCP9S63C1cvr0/VmRGY5PbtT8IMrYz1o21PxWZPyinRbk/hY4z2sjfvT8db5Q9df/APz9tYtMjvcA/VYjhsnmfwD+G4tiLRX/APxusQqiUQ8I/VXywc1gFwz9sawDdSHbBP0q02RDDmsA/8c9MurhWvD+Hd32mU8u8P/CP85Y29b4/NlbqmghiwD/EbcyDTHPCP3OVHhnlSsE/J585yQvtvj97ZPOMgsy/P+nt5AhBYMA/2kxHM28ExT+GsFZwadnFPzSMS/Bb9cA/4RAgqfRPvj/nhOCnqPe/P7Ju6Ej9c74/+c8PgGhJwT8C8I7yNEbCP/O255eKKcM/lniKR6NOwD9R2XS8oJ+8P1GD53uEa8A/rMQXBlO1wz9dHRfy3j3BP+vITp6D98E/uGrmo0OGvz9GLRvn2kS9P2b0i7/KKL4/SOmlkNQ6wT+y7MmoZc7CP4oYbn5Tp8M/JV0BL5d2xD/OfpKxuRvEP2xKmalC5cQ/g9emjha2xD81XTBjoibCP9Fk8edAcr4/3TAPWkOYuj/UzlG3QKK5PzNiGsnrtLo/qG1x7T4cvz/StDEcd7DBP04Q9etWTME/3U88FAzTwz9J5gMdfCnEP7hlTNrpDcQ/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"8f3fbe97-f063-4572-9076-b46182f3a246\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data_source\":{\"id\":\"165974c8-a808-4252-80f5-7abb4ad93f18\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"d73dfd07-fb11-423a-b2d3-ee98d814128e\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"e4fe662a-4ede-4043-ac6e-b968724cc5cd\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"6e7e0068-471e-4b44-aa6b-83fabe691ed3\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"end\":0.45},\"id\":\"a639a6c0-4282-4451-8189-54dca2c0d5b1\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"c04c4467-908d-4524-947e-b96388ab5db6\",\"type\":\"Range1d\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"a3260e39-85a0-4de6-a9e2-f68b0832f958\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"1f45c378-566d-44f1-b886-a60ef8f310b7\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"015d518b-99ea-4215-9a8d-27e006c8b4fc\",\"type\":\"BasicTicker\"}},\"id\":\"92125d27-5f1d-41a2-a617-2e292b5eb4d8\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"aee795ad-93e2-4c22-af8e-eda925b91c59\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"ba2c2556-5602-4158-bc48-8f1233cbc974\",\"type\":\"BasicTicker\"}},\"id\":\"693fbd36-ff66-419e-b124-cfa47843ec7c\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":null,\"text\":\"MRO 3.8% to 4.5% Hydro\"},\"id\":\"2571e7f7-2065-47d7-bd0b-d7063fef56eb\",\"type\":\"Title\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"6808b2a0-6209-4a9c-ae55-0d16e1b2ab31\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"8474acf5-ccca-48e6-b941-b35db089d83d\",\"type\":\"ToolEvents\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e2f81c1f-5476-4cb8-8b2a-aaae64b7f607\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":0.45},\"id\":\"44224bf1-e64c-4141-b97b-418a9e65e387\",\"type\":\"Range1d\"},{\"attributes\":{\"data_source\":{\"id\":\"ce5d2b41-d0e9-4efd-9331-25e4d4a1b079\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"3f86323d-a8f5-4ccd-b668-93e785fd0f91\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"e77f7063-08b5-47bd-82f0-afd7e357d707\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"d6bf7a61-a8b1-4078-a002-f8908d78dd9b\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"31b1a539-09f6-44fd-9afc-c29f918c89a3\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"18b56ea6-692d-4ce5-a411-424895358506\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":0.45},\"id\":\"5ce1528b-dc9d-4a8a-b868-9ac756b90ee2\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"515ee13f-54ec-4d9f-a0e4-d4e68fed68c8\",\"type\":\"LinearScale\"},{\"attributes\":{\"children\":[{\"id\":\"c43a37d8-b25b-483f-af63-854022408fe5\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"30bf0c3f-e853-4858-9cb0-6b8446414fac\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"fd198e8a-6531-4fd5-a0fb-5d00f8fe842a\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"45213e23-f5e4-4934-8768-e2513312521b\",\"type\":\"Row\"},{\"attributes\":{},\"id\":\"2e8deacf-5a1b-434a-8515-01e57dd84300\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"d73dfd07-fb11-423a-b2d3-ee98d814128e\",\"type\":\"Circle\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"dd5e6cec-7978-40ce-ac29-9015888f1e2c\",\"type\":\"HoverTool\"}]},\"id\":\"e9f3ec24-8a69-4165-b4e6-6d6d64daac2a\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"582a40ca-c68e-4604-8186-36ae04d287dd\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"58511b4d-afab-4eaa-b869-4c2bf7e8a6ba\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"918cf0a1-31de-46e4-9b49-c70dd12a3aa4\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"ea2c3868-09f2-4e0c-a1a7-06a225621b5b\",\"type\":\"ToolEvents\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"3f86323d-a8f5-4ccd-b668-93e785fd0f91\",\"type\":\"Circle\"},{\"attributes\":{\"data_source\":{\"id\":\"8f3fbe97-f063-4572-9076-b46182f3a246\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"e2f81c1f-5476-4cb8-8b2a-aaae64b7f607\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"6768edab-43b4-44e7-ae89-b5dd95e9a7c9\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"c2587814-2995-4081-b7fa-6b88217612bb\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"plot\":null,\"text\":\"ERCOT 0.3% to 0.2% Hydro\"},\"id\":\"bb7bb8d9-436f-44b3-8944-52861a61bf1f\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"03250f1a-04d3-4b27-b21d-29f30cc4ec4b\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"plot\":null,\"text\":\"NPCC 12.2% to 13.2% Hydro\"},\"id\":\"34a3aa0a-cc91-4b82-a68f-c1021459af43\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"e02216c4-b150-4816-bb82-bb3df5ed4dbb\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"end\":0.45},\"id\":\"ae05d0ff-ca53-4d35-9498-98cb39e3994e\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"78fc6f88-4bfb-4dfa-b962-344d23c6745c\",\"type\":\"LinearScale\"},{\"attributes\":{\"below\":[{\"id\":\"8b339341-f752-4779-ba36-e7e62559fe4a\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"92125d27-5f1d-41a2-a617-2e292b5eb4d8\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"8b339341-f752-4779-ba36-e7e62559fe4a\",\"type\":\"LinearAxis\"},{\"id\":\"f5da6f2b-0b0e-4e2e-89a4-038c263e040e\",\"type\":\"Grid\"},{\"id\":\"92125d27-5f1d-41a2-a617-2e292b5eb4d8\",\"type\":\"LinearAxis\"},{\"id\":\"784635eb-930b-42fd-8ed0-523556cb2863\",\"type\":\"Grid\"},{\"id\":\"3db91614-7edb-45b5-b894-a24e7d77d8ae\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"b44e8dc0-7bfd-403a-8dc1-245cf1834bea\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"ffcdedd0-9aa0-4472-b9a2-3e8b1fb51eae\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"9cd5b549-df5b-4c14-b63a-4f72db1cab65\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"5d210052-f41b-4aa7-97f3-1f2563eb628d\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"ae8f9174-6453-40a6-a719-e4baac0656b1\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"da77d29a-5e9a-4172-bf4f-fd21127a5c1f\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"78fc6f88-4bfb-4dfa-b962-344d23c6745c\",\"type\":\"LinearScale\"}},\"id\":\"1f45c378-566d-44f1-b886-a60ef8f310b7\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"dc8ec5c0-1cd4-4727-80c5-d538865469ae\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e4fe662a-4ede-4043-ac6e-b968724cc5cd\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"85d5e3b4-9d65-4fe0-8a70-82cd95557edf\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"69d6520c-d320-4f24-af41-772fcd8632bb\",\"type\":\"LinearScale\"},{\"attributes\":{\"children\":[{\"id\":\"45213e23-f5e4-4934-8768-e2513312521b\",\"type\":\"Row\"},{\"id\":\"1a68bc5c-05d6-4e7e-8285-d72eb2739e33\",\"type\":\"Row\"},{\"id\":\"3029c89b-7b48-49aa-974f-abd0457bf559\",\"type\":\"Row\"}]},\"id\":\"c83ce342-b14f-4440-b8be-b190d930e63d\",\"type\":\"Column\"},{\"attributes\":{\"data_source\":{\"id\":\"03250f1a-04d3-4b27-b21d-29f30cc4ec4b\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"00dd745d-1354-47ee-bb98-ba50776409fa\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"486ff382-b53e-46f3-8a0c-fac4d76f6597\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"b43939ec-6131-4f0a-8929-f150d2ce2a55\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"79dfad44-6ea3-465a-a3f7-5ce8a5b9cf1a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7d6fcfab-8359-4472-bf56-a1fdbe62a029\",\"type\":\"BasicTicker\"}},\"id\":\"52004dab-1c99-4792-a4a3-f4cfd5e69095\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"a6f95690-81ea-451f-a020-9c70630a60a3\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"7d6fcfab-8359-4472-bf56-a1fdbe62a029\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"end\":0.45},\"id\":\"6956fc0d-1ce2-4f64-8632-09a4fcc1821c\",\"type\":\"Range1d\"},{\"attributes\":{\"data_source\":{\"id\":\"58511b4d-afab-4eaa-b869-4c2bf7e8a6ba\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"7ee3e4f1-93ba-41d0-a26d-f5109b7ad74a\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"120d50ae-8f3c-4d1a-bc43-2d88f2a896cc\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"7ba614f0-c966-4e4f-9044-2db782e4feda\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"below\":[{\"id\":\"5e8c747c-1c19-4ee9-b7a7-c04ddb3fcd80\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"5272f958-685c-4b4f-aba6-f84f58dffc3a\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"5e8c747c-1c19-4ee9-b7a7-c04ddb3fcd80\",\"type\":\"LinearAxis\"},{\"id\":\"e0884a33-4d24-4431-bd69-7866a86767f0\",\"type\":\"Grid\"},{\"id\":\"5272f958-685c-4b4f-aba6-f84f58dffc3a\",\"type\":\"LinearAxis\"},{\"id\":\"bb8d02e9-24ad-4ef5-aa24-c7939ca3cef7\",\"type\":\"Grid\"},{\"id\":\"b43939ec-6131-4f0a-8929-f150d2ce2a55\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"5e37afef-a615-472f-a5dc-b046d58e4d77\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"e19c9a2a-104f-4e0c-badf-40c243501458\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"e9f3ec24-8a69-4165-b4e6-6d6d64daac2a\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"404a5578-f8cb-4aa6-b6b1-f6da3f66cfdb\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"ae947186-dd16-4ffe-8e42-f6c6d6ef80f3\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"c04c4467-908d-4524-947e-b96388ab5db6\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"69d6520c-d320-4f24-af41-772fcd8632bb\",\"type\":\"LinearScale\"}},\"id\":\"fd198e8a-6531-4fd5-a0fb-5d00f8fe842a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis_label\":\"percent Hydro\",\"formatter\":{\"id\":\"7028efd7-53fb-4de3-bb4d-9029706811a1\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"fd198e8a-6531-4fd5-a0fb-5d00f8fe842a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"67cf9f82-3145-4359-b8d6-27fd1ed22242\",\"type\":\"BasicTicker\"}},\"id\":\"5e8c747c-1c19-4ee9-b7a7-c04ddb3fcd80\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"ae8f9174-6453-40a6-a719-e4baac0656b1\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":null,\"text\":\"RFC 1.2% to 1.4% Hydro\"},\"id\":\"1de0ef3c-6732-4ce3-9817-e4fcb803f2fa\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"d27c5d45-d35a-484e-84a3-94d9474f6b29\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"a9306f26-d8a5-4db5-b1ac-07f11550cc09\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"fd198e8a-6531-4fd5-a0fb-5d00f8fe842a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2e8deacf-5a1b-434a-8515-01e57dd84300\",\"type\":\"BasicTicker\"}},\"id\":\"bb8d02e9-24ad-4ef5-aa24-c7939ca3cef7\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"7ed8ce47-673f-47e4-8bf7-948e9668ed0a\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"b0b3af82-f400-4851-9d6e-08adfc1107d9\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"end\":0.45},\"id\":\"5d210052-f41b-4aa7-97f3-1f2563eb628d\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"d1b4edb0-f19d-47e3-80e5-8d44ca28cfe5\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"plot\":null,\"text\":\"WECC 24.6% to 23.0% Hydro\"},\"id\":\"5e37afef-a615-472f-a5dc-b046d58e4d77\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1974f576-dc58-4998-bda8-d98fdfab1ef9\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"5aee6849-1b6c-49c4-b2a9-e04bd4f3cd69\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"fd198e8a-6531-4fd5-a0fb-5d00f8fe842a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2e8deacf-5a1b-434a-8515-01e57dd84300\",\"type\":\"BasicTicker\"}},\"id\":\"5272f958-685c-4b4f-aba6-f84f58dffc3a\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"dc8ec5c0-1cd4-4727-80c5-d538865469ae\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"79dfad44-6ea3-465a-a3f7-5ce8a5b9cf1a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7d6fcfab-8359-4472-bf56-a1fdbe62a029\",\"type\":\"BasicTicker\"}},\"id\":\"d3f8c794-a7cb-4e89-b88f-ba9afa82c33d\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"8b139703-ce29-47d8-ad3a-0a7b0544e842\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"5ca829be-d01d-44f8-8481-6675e2b7bcce\",\"type\":\"ToolEvents\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"1f45c378-566d-44f1-b886-a60ef8f310b7\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"015d518b-99ea-4215-9a8d-27e006c8b4fc\",\"type\":\"BasicTicker\"}},\"id\":\"784635eb-930b-42fd-8ed0-523556cb2863\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"db821761-f2fc-4529-9fd6-984bef38ce5a\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"e19c9a2a-104f-4e0c-badf-40c243501458\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"ffcdedd0-9aa0-4472-b9a2-3e8b1fb51eae\",\"type\":\"ToolEvents\"},{\"attributes\":{\"plot\":{\"id\":\"2a04c4bd-2ee2-41bd-a76a-c2775671a7a1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f5dcdc84-c9ee-471f-ac87-3581f2164b9c\",\"type\":\"BasicTicker\"}},\"id\":\"6c2c829c-6c26-4ff3-8f42-5365971e0c72\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":null,\"text\":\"FRCC 0.1% to 0.0% Hydro\"},\"id\":\"f81e73ca-91eb-4b6d-b776-0b9d1cf06178\",\"type\":\"Title\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"dfbafd3f-ad62-4fb3-8681-053b04ecee0a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"1d699751-4671-4727-a944-17b8659b811c\",\"type\":\"BasicTicker\"}},\"id\":\"bc46ed19-18a2-4ccf-b4bc-7d7c79a421a1\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"1974f576-dc58-4998-bda8-d98fdfab1ef9\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c43a37d8-b25b-483f-af63-854022408fe5\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2a05ac59-9285-4bd7-b371-fdaf5e78c9a4\",\"type\":\"BasicTicker\"}},\"id\":\"4b69dd90-66ec-4f88-a486-93e4aacb3701\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"2a04c4bd-2ee2-41bd-a76a-c2775671a7a1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"4fde4aa5-cc95-41db-9fd1-9abe9e045374\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"1b73d175-b9ef-469c-acc4-17279ce42d33\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"children\":[{\"id\":\"81d1b30a-5b42-4029-9aea-8c5999794a3b\",\"type\":\"ToolbarBox\"},{\"id\":\"c83ce342-b14f-4440-b8be-b190d930e63d\",\"type\":\"Column\"}]},\"id\":\"0d98d563-81f4-4a15-bb0c-a2d6c7195a48\",\"type\":\"Column\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"f1bd3552-b2f6-46fd-a29a-7cda7f76c95a\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"aee795ad-93e2-4c22-af8e-eda925b91c59\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"80969331-bc41-413c-a116-05710e061a0f\",\"type\":\"HoverTool\"},{\"attributes\":{\"data_source\":{\"id\":\"3904d918-de5f-4726-9cd6-bfea5eb6dd46\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"31b1a539-09f6-44fd-9afc-c29f918c89a3\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"f5eace22-81b7-4d3d-98b8-bfddb7fc24fa\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"399f6988-951d-40d5-a14b-fe5073eaea06\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"d901ef97-14d4-43b3-bc7c-78c92c8849d5\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"1b73d175-b9ef-469c-acc4-17279ce42d33\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"6808b2a0-6209-4a9c-ae55-0d16e1b2ab31\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"18b56ea6-692d-4ce5-a411-424895358506\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"0d561e78-6413-464c-b1bc-52bfc90a2c69\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"1f45c378-566d-44f1-b886-a60ef8f310b7\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"c1857ade-2cfa-41e0-9b22-2d82843f5e89\",\"type\":\"HoverTool\"},{\"attributes\":{\"below\":[{\"id\":\"d1d4846b-0a41-46aa-a27c-1c47fda88c3a\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"46e96f8c-a4c9-46a4-892b-881b92f2e187\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"d1d4846b-0a41-46aa-a27c-1c47fda88c3a\",\"type\":\"LinearAxis\"},{\"id\":\"67d68c82-3f25-472e-84f7-e4b66476a05a\",\"type\":\"Grid\"},{\"id\":\"46e96f8c-a4c9-46a4-892b-881b92f2e187\",\"type\":\"LinearAxis\"},{\"id\":\"19beba18-1286-4ea5-bfab-a2948d986629\",\"type\":\"Grid\"},{\"id\":\"7ba614f0-c966-4e4f-9044-2db782e4feda\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"bb7bb8d9-436f-44b3-8944-52861a61bf1f\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"5ca829be-d01d-44f8-8481-6675e2b7bcce\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"6afe7268-f882-4b03-8269-9d902acf6c47\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"5ce1528b-dc9d-4a8a-b868-9ac756b90ee2\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"3390d410-f27e-4b30-b1ae-8c11648d572f\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"5fabc7fd-f129-43ba-9da7-831068b354c4\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"dd2f1b7a-1f08-404a-9176-e3bdcf353ea5\",\"type\":\"LinearScale\"}},\"id\":\"30bf0c3f-e853-4858-9cb0-6b8446414fac\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"4f211617-337f-4e6a-911a-d0a55d748d87\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"d0a38134-b83c-456b-8598-44c24210c577\",\"type\":\"LinearScale\"},{\"attributes\":{\"children\":[{\"id\":\"79dfad44-6ea3-465a-a3f7-5ce8a5b9cf1a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"dfbafd3f-ad62-4fb3-8681-053b04ecee0a\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"3029c89b-7b48-49aa-974f-abd0457bf559\",\"type\":\"Row\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"a9306f26-d8a5-4db5-b1ac-07f11550cc09\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"aee795ad-93e2-4c22-af8e-eda925b91c59\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e02216c4-b150-4816-bb82-bb3df5ed4dbb\",\"type\":\"BasicTicker\"}},\"id\":\"d8edf637-0801-4af2-b5d0-83592e2357bf\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"7ee3e4f1-93ba-41d0-a26d-f5109b7ad74a\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"d4344812-9c70-4373-b4ba-0d671791a6e6\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis_label\":\"percent Hydro\",\"formatter\":{\"id\":\"582a40ca-c68e-4604-8186-36ae04d287dd\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"dfbafd3f-ad62-4fb3-8681-053b04ecee0a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a6f95690-81ea-451f-a020-9c70630a60a3\",\"type\":\"BasicTicker\"}},\"id\":\"6cf34b4a-0295-47ea-bdb2-0e3bcfe58195\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"percent Hydro\",\"formatter\":{\"id\":\"1474965c-855b-439e-9dc2-ba56a8de6552\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"2a04c4bd-2ee2-41bd-a76a-c2775671a7a1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f5dcdc84-c9ee-471f-ac87-3581f2164b9c\",\"type\":\"BasicTicker\"}},\"id\":\"4e59e8ff-19b9-456a-b6b2-fd0fde29718a\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"f5dcdc84-c9ee-471f-ac87-3581f2164b9c\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"00dd745d-1354-47ee-bb98-ba50776409fa\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"AACA5vR4bEIAAACL6YxsQgAAAM3vnmxCAACAceSybEIAAIBKNMZsQgAAAO8o2mxCAAAAyHjtbEIAAIBsbQFtQgAAABFiFW1CAAAA6rEobUIAAICOpjxtQgAAgGf2T21CAAAADOtjbUIAAICw33dtQgAAgPLliW1CAAAAl9qdbUIAAABwKrFtQgAAgBQfxW1CAACA7W7YbUIAAACSY+xtQgAAgDZYAG5CAACAD6gTbkIAAAC0nCduQgAAAI3sOm5CAACAMeFObkIAAADW1WJuQgAAABjcdG5CAACAvNCIbkIAAICVIJxuQgAAADoVsG5CAAAAE2XDbkIAAIC3WdduQgAAAFxO625CAAAANZ7+bkIAAIDZkhJvQgAAgLLiJW9CAAAAV9c5b0IAAID7y01vQgAAAAl3YG9CAACArWt0b0IAAICGu4dvQgAAACuwm29CAAAABACvb0IAAICo9MJvQgAAAE3p1m9CAAAAJjnqb0IAAIDKLf5vQgAAwNG+CHBCAAAAJLkScEIAAEB2sxxwQgAAQJe2JXBCAACA6bAvcEIAAADWWDlwQgAAQChTQ3BCAADAFPtMcEIAAABn9VZwQgAAQLnvYHBCAADApZdqcEIAAAD4kXRwQgAAgOQ5fnBCAADANjSIcEIAAACJLpJwQgAAAKoxm3BCAABA/CulcEIAAMDo065wQgAAADvOuHBCAACAJ3bCcEIAAMB5cMxwQgAAAMxq1nBCAACAuBLgcEIAAMAKDepwQgAAQPe083BCAACASa/9cEIAAMCbqQdxQgAAwLysEHFCAAAAD6cacUIAAID7TiRxQgAAwE1JLnFCAABAOvE3cUIAAICM60FxQgAAwN7lS3FCAABAy41VcUIAAIAdiF9xQgAAAAowaXFCAABAXCpzcUIAAICuJH1xQgAAQDV6hnFCAACAh3SQcUIAAAB0HJpxQgAAQMYWpHFCAADAsr6tcUIAAAAFubdxQgAAQFezwXFCAADAQ1vLcUIAAACWVdVxQgAAgIL93nFCAADA1PfocUIAAAAn8vJxQgAAAEj1+3FCAABAmu8FckIAAMCGlw9yQgAAANmRGXJCAACAxTkjckIAAMAXNC1yQgAAAGouN3JCAACAVtZAckIAAMCo0EpyQgAAQJV4VHJCAACA53JeckIAAMA5bWhyQgAAwFpwcXJCAAAArWp7ckIAAICZEoVyQgAAwOsMj3JCAABA2LSYckIAAIAqr6JyQgAAwHyprHJCAABAaVG2ckIAAIC7S8ByQgAAAKjzyXJCAABA+u3TckIAAIBM6N1yQgAAgG3r5nJCAADAv+XwckIAAECsjfpyQgAAgP6HBHNCAAAA6y8Oc0IAAEA9KhhzQgAAgI8kInNCAAAAfMwrc0IAAEDOxjVzQgAAwLpuP3NCAAAADWlJc0IAAEBfY1NzQgAAAOa4XHNCAABAOLNmc0IAAMAkW3BzQgAAAHdVenNCAACAY/2Dc0IAAMC1941zQgAAAAjyl3NCAACA9Jmhc0IAAMBGlKtzQgAAQDM8tXNCAACAhTa/c0IAAMDXMMlzQgAAwPgz0nNCAAAASy7cc0IAAIA31uVzQgAAwInQ73NCAABAdnj5c0IAAIDIcgN0QgAAwBptDXRCAABABxUXdEIAAIBZDyF0QgAAAEa3KnRCAABAmLE0dEIAAIDqqz50QgAAgAuvR3RCAADAXalRdEIAAEBKUVt0QgAAgJxLZXRCAAAAifNudEIAAEDb7Xh0QgAAgC3ognRCAAAAGpCMdEIAAEBsipZ0QgAAwFgyoHRCAAAAqyyqdEIAAED9JrR0QgAAQB4qvXRCAACAcCTHdEIAAABdzNB0QgAAQK/G2nRCAADAm27kdEIAAADuaO50QgAAQEBj+HRCAADALAsCdUIAAAB/BQx1QgAAgGutFXVCAADAvacfdUIAAAAQoil1QgAAwJb3MnVCAAAA6fE8dUIAAIDVmUZ1QgAAwCeUUHVCAABAFDxadUIAAIBmNmR1QgAAwLgwbnVCAABApdh3dUIAAID30oF1QgAAAOR6i3VCAABANnWVdUIAAICIb591QgAAgKlyqHVC\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"165974c8-a808-4252-80f5-7abb4ad93f18\",\"type\":\"ColumnDataSource\"}],\"root_ids\":[\"0d98d563-81f4-4a15-bb0c-a2d6c7195a48\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"0caf1db2-ef94-4605-a729-7845d2d6ca51\",\"elementid\":\"12885eb6-4475-4670-9f39-2ca280d55995\",\"modelid\":\"0d98d563-81f4-4a15-bb0c-a2d6c7195a48\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"12885eb6-4475-4670-9f39-2ca280d55995\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_bokeh_plot(gen_index, 'Hydro', 'percent Hydro', \n",
    "                  'change in norm variability',\n",
    "                  y_range=(-1, 7), x_range=(0, 0.45))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Change in Hydro vs Change in norm variability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T11:53:39.778277",
     "start_time": "2017-07-18T11:53:39.136201"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"b6b8f7a4-b476-4ba8-8313-614fcf2dcabb\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<div style='background-color: #fdd'>\\n\"+\n",
       "       \"<p>\\n\"+\n",
       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "       \"</p>\\n\"+\n",
       "       \"<ul>\\n\"+\n",
       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "       \"</ul>\\n\"+\n",
       "       \"<code>\\n\"+\n",
       "       \"from bokeh.resources import INLINE\\n\"+\n",
       "       \"output_notebook(resources=INLINE)\\n\"+\n",
       "       \"</code>\\n\"+\n",
       "       \"</div>\"}};\n",
       "  \n",
       "    function display_loaded() {\n",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"b6b8f7a4-b476-4ba8-8313-614fcf2dcabb\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        var s = document.createElement('script');\n",
       "        s.src = url;\n",
       "        s.async = false;\n",
       "        s.onreadystatechange = s.onload = function() {\n",
       "          window._bokeh_is_loading--;\n",
       "          if (window._bokeh_is_loading === 0) {\n",
       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"b6b8f7a4-b476-4ba8-8313-614fcf2dcabb\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'b6b8f7a4-b476-4ba8-8313-614fcf2dcabb' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"aadf55ac-9030-4902-9cf8-80f09689480a\":{\"roots\":{\"references\":[{\"attributes\":{},\"id\":\"e328e986-a1e2-4932-a6bc-8fa79d3584de\",\"type\":\"ToolEvents\"},{\"attributes\":{\"data_source\":{\"id\":\"af8bd231-b0cd-4a84-8fe8-f2e03afdc0fc\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"0835d529-6eaf-4355-bc9b-2a6c33da8101\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"0decd67f-fa79-4803-b79d-3140203dd6e1\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"6b1f0e83-b214-4616-8bd1-5f73563be04d\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null},\"id\":\"2ba6e763-2ec3-47d5-bc76-2c95ca90d282\",\"type\":\"DataRange1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"08e18b56-2a2e-419c-b56c-e8f0beac0570\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"70f17d94-9f3c-4e4f-a47d-dd478780d573\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"597551b6-7f87-4bd5-ba87-0b6196672b44\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"change in Hydro\",\"formatter\":{\"id\":\"597551b6-7f87-4bd5-ba87-0b6196672b44\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"20fac06f-baa4-4b2e-bb8f-1ac9ede2e8c7\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"63bdd8d6-69d6-41df-b6c9-2c282f2111f1\",\"type\":\"BasicTicker\"}},\"id\":\"41d3eb50-c65f-4f39-8cbe-6320647b844b\",\"type\":\"LinearAxis\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"00b87ea9-9716-46e8-9f5d-a2815cf9d645\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4df334f0-a28a-491b-99fa-277eb04ef825\",\"type\":\"BasicTicker\"}},\"id\":\"9b6b948d-d91d-4fe0-be83-65ce53492436\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"cfc39331-fc7a-4038-a603-8fa49bff9603\",\"type\":\"ToolEvents\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"a87b00b6-d487-4389-9f3d-8b9afe87ab15\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"db335fcd-174d-4c1f-acc4-34458251f7ab\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6e544cc8-37a0-4563-a899-17446ef51680\",\"type\":\"BasicTicker\"}},\"id\":\"d8741e75-de1d-4dac-b7f9-762720c53bbf\",\"type\":\"LinearAxis\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"5165e1ba-6c83-4bcb-abdc-ee5d001e0ae6\",\"type\":\"HoverTool\"}]},\"id\":\"4620a432-d95a-4e41-8165-b6ac86d20f80\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1f4b88df-4b79-4274-be95-cb51dada5d4d\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":{\"id\":\"db335fcd-174d-4c1f-acc4-34458251f7ab\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"70f17d94-9f3c-4e4f-a47d-dd478780d573\",\"type\":\"BasicTicker\"}},\"id\":\"e4b0fc3f-0df9-4d9d-aeac-865befa3a8bc\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"ac00b84d-b21c-442d-adaf-009a907d9343\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"3436b727-0210-4eb9-a9dc-82197cac2edb\",\"type\":\"BasicTicker\"},{\"attributes\":{\"below\":[{\"id\":\"5a38865b-08eb-468d-a435-3a31911759f6\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"d8741e75-de1d-4dac-b7f9-762720c53bbf\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"5a38865b-08eb-468d-a435-3a31911759f6\",\"type\":\"LinearAxis\"},{\"id\":\"e4b0fc3f-0df9-4d9d-aeac-865befa3a8bc\",\"type\":\"Grid\"},{\"id\":\"d8741e75-de1d-4dac-b7f9-762720c53bbf\",\"type\":\"LinearAxis\"},{\"id\":\"2935b466-aec0-4c7e-93d5-030134b01526\",\"type\":\"Grid\"},{\"id\":\"cf45ecec-607d-4f2f-bd72-a792e5e12d6a\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"2f92f5cc-14b2-4829-b2bb-2080cd4c7bc0\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"cfc39331-fc7a-4038-a603-8fa49bff9603\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"ed5ad7de-6d77-456b-b3f8-d269d24e2618\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"6c8b2f5e-8c45-4401-a334-4207ddd7dea9\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"628954bb-d673-43d6-900e-25a8179f2f63\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"1adefc0a-bb26-4235-be1a-4d738c532d19\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"9b6760cd-d423-442d-a317-55d68a18bf7a\",\"type\":\"LinearScale\"}},\"id\":\"db335fcd-174d-4c1f-acc4-34458251f7ab\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"c599f01b-f424-4181-8131-259608740bac\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"children\":[{\"id\":\"72d60781-1231-4c60-9f42-eeabde4af33c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"809d1ebe-e202-45e3-a6d1-c82027a1ddbf\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"8cafb825-660c-4b72-bd45-e927e78092d9\",\"type\":\"Row\"},{\"attributes\":{},\"id\":\"9b6760cd-d423-442d-a317-55d68a18bf7a\",\"type\":\"LinearScale\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"3b2f2855-7789-41cf-94a6-7aaef65e7722\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5aabb5f8-5400-4861-95bd-9daeeea74416\",\"type\":\"BasicTicker\"}},\"id\":\"b5ce5fa9-1512-4876-a075-9b98eeaec9cc\",\"type\":\"Grid\"},{\"attributes\":{\"below\":[{\"id\":\"74761107-9f17-4c54-99e8-bd421279b419\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"7e511b76-1d1c-4d20-a960-ed1a9a47a2cc\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"74761107-9f17-4c54-99e8-bd421279b419\",\"type\":\"LinearAxis\"},{\"id\":\"7e7242e8-7f21-4174-b412-4ed3e93a62c9\",\"type\":\"Grid\"},{\"id\":\"7e511b76-1d1c-4d20-a960-ed1a9a47a2cc\",\"type\":\"LinearAxis\"},{\"id\":\"b5ce5fa9-1512-4876-a075-9b98eeaec9cc\",\"type\":\"Grid\"},{\"id\":\"6b1f0e83-b214-4616-8bd1-5f73563be04d\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"1cf55ee7-a422-490a-a413-15b6fec74e68\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"32a9198f-3d5f-4b98-979f-9a0872ea01c4\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"3e8cbfbb-ef50-42ed-8e7a-745899961a2b\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"c2275572-4576-4286-b810-bc09a512dce4\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"a6a037c2-f450-4c57-a8c0-fc28cdd0ce35\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"7082c102-b346-493a-8904-1ce9bfd62572\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"d4e6d0d3-61c8-46fa-a091-b318f9c143b4\",\"type\":\"LinearScale\"}},\"id\":\"3b2f2855-7789-41cf-94a6-7aaef65e7722\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null},\"id\":\"c2275572-4576-4286-b810-bc09a512dce4\",\"type\":\"DataRange1d\"},{\"attributes\":{\"children\":[{\"id\":\"20fac06f-baa4-4b2e-bb8f-1ac9ede2e8c7\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"08411d80-e112-4a6b-8fd9-550fde85ab36\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"00b87ea9-9716-46e8-9f5d-a2815cf9d645\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"b0fab7fb-158c-4874-978f-f9ab069739e7\",\"type\":\"Row\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"3ceb9f02-b78b-4867-9845-0ff0df526ce6\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"5222142c-2001-43e2-823f-d739a5668c1b\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"c3655157-1c53-448b-9af4-f71afae468d2\",\"type\":\"BasicTicker\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"b5a86311-e065-4ada-96ce-5119fbdd4dbf\",\"type\":\"HoverTool\"}]},\"id\":\"3e8cbfbb-ef50-42ed-8e7a-745899961a2b\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"3b2f2855-7789-41cf-94a6-7aaef65e7722\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"b5a86311-e065-4ada-96ce-5119fbdd4dbf\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"db335fcd-174d-4c1f-acc4-34458251f7ab\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"46a210fa-5854-4ad5-a6d9-a27d9205713a\",\"type\":\"HoverTool\"},{\"attributes\":{\"plot\":{\"id\":\"08411d80-e112-4a6b-8fd9-550fde85ab36\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"83b2bee1-6aad-400a-8dae-a67bc8c24667\",\"type\":\"BasicTicker\"}},\"id\":\"2cb58772-4333-46df-b882-267feaa949a5\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"b2061929-641c-4392-8f3f-3fd3ea5b1f34\",\"type\":\"Circle\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"f3d32c22-d147-463c-a867-51b95f256b51\",\"type\":\"HoverTool\"}]},\"id\":\"289ee950-7cc0-410d-865d-8bf4009a8490\",\"type\":\"Toolbar\"},{\"attributes\":{\"plot\":{\"id\":\"20fac06f-baa4-4b2e-bb8f-1ac9ede2e8c7\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"63bdd8d6-69d6-41df-b6c9-2c282f2111f1\",\"type\":\"BasicTicker\"}},\"id\":\"e943b785-b73f-4215-9d83-50d2ac82a2e8\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"63bdd8d6-69d6-41df-b6c9-2c282f2111f1\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis_label\":\"change in Hydro\",\"formatter\":{\"id\":\"283c8b05-bada-4a7f-94f9-d7eb9e795fcd\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"3b2f2855-7789-41cf-94a6-7aaef65e7722\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"497f13c4-c613-4c49-bfab-2df8dc84f560\",\"type\":\"BasicTicker\"}},\"id\":\"74761107-9f17-4c54-99e8-bd421279b419\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"628954bb-d673-43d6-900e-25a8179f2f63\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"c4b40fcf-2dec-4b64-9ae4-150ad6622546\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"9f99b16b-1d55-48cb-b400-d2af7372ff30\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"ba3d58eb-fbbc-4357-a9a5-b5a80adc303c\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"32a9198f-3d5f-4b98-979f-9a0872ea01c4\",\"type\":\"ToolEvents\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"86920bff-0fb8-4850-adaa-98850ee1369f\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"3bb3beda-fea7-4893-8c5f-5e8b933c5eec\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"772c4f81-1fef-44b6-8bc5-71cd320e1bbb\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"55e467b0-b969-4b3e-9dd4-ee5a6d7c4592\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"a096a1d0-16b1-48b4-b2a4-98c24d2d01c4\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"2fb039df-e282-48bb-aca7-f7ec790fe85d\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"08e18b56-2a2e-419c-b56c-e8f0beac0570\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"0a20beb7-4238-4d4a-a8e8-0e6083bccf60\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"165a710a-4920-4573-a6b4-a9ca8ca29716\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"3b2f2855-7789-41cf-94a6-7aaef65e7722\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5aabb5f8-5400-4861-95bd-9daeeea74416\",\"type\":\"BasicTicker\"}},\"id\":\"7e511b76-1d1c-4d20-a960-ed1a9a47a2cc\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":null,\"text\":\"SPP 2.3% to 1.9% Hydro\"},\"id\":\"8a4791c0-9a2d-45b2-a43f-245f47f06439\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"6e544cc8-37a0-4563-a899-17446ef51680\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"497f13c4-c613-4c49-bfab-2df8dc84f560\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"83b2bee1-6aad-400a-8dae-a67bc8c24667\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"d9622344-4a4c-4ce9-8522-24f86e85b299\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"4947kwbC47/flNRpB6/gv4t04Xi6OJg/PVwrPQFxvr8bwz4xQZjQv5cvpTV2b9q/f1/ZYnNK1L/UhkS/nG3Rv6GXQmwgv9+/m4LI20N64b96uXZRcbbcvw0RBsLAwNO/egONqBvR0r+Ab9uFPQ6RP3jQghcQesg/7P9q8wUvrT9grkMA1f3Uv05a4N/55+K/pQIMk2qe4r8SI8okW8DjvxFoKtNv0t6/uaxX/YMn1L/eDTu93ifWP+9udMTJDl4/spHUz17Pvr+MZ6BfFwDPP4t/mO0Vfae/cfN6ceVDxz/Xk+dAfgzSv2uHrGchDLG/LicVRlmes79LzxvpkxTPP7RWvHyizZg/BzxiGlDdtT/P22kaXlaSP1trx42YnMM/Hfjw6zJuuz+xeu+gCkHKP5urqphGS8U/8Hd+EFp6xD9MOAC91Euiv+6+IvOLNcO/dLVF+A+bxb9JmryElQPDv7zE6Cw3Fqi/penG2nH/mb/PJaSfS0nAP0zAOWKr9rY/cuFguX/Y0z/wo5LNNdLUP/reYevmSdI/TjsSU/ta1D+uKlyi1x2Nv5TIE1BZsnE/APM7bWHurr82jqWcunvMv8owVakPetK/uVJsHeTN0b+DTmXWEWS8v3n+smNK/Jw/qN657yMXmL9sqWKTvCGuv6g1cMoJe8q/R6OiE5Q9y78wGxQx9l7Cv2k4sZsllM6/9DXKgnaAzb8VSN2yQG3Rvx/9wbC8M96/6ReTFrgH37+tVvzvaqvRvxKHNvUPPtG/xwH7xqFp1D/nTP/Zov3Uv45PFMw1xXQ/0xZegAnswb+Wjs3WrGvfv8C5sy44OeK/L0oSxTrV5L9iL2H91+njv4bpK8oOrua/J7Cu0R4F5r+7o3lkyLThv53ddmhg99u/UGszQvXkTL/djHzvhovCPz6Kge282Mc/Q2sZ9JYLsT/wjc3OOifCv08n12EGxN+/4gtiy+RX4L/7adc0Tb7cvwL9yUugnN+/NheyNGSw3L8hPHumqSvdv5+28nHv1NA/2MTJIYF6wL+Q+7wdf7zYv+AJkzOVUbm/vaBydiDKx7+aB4QcalvMv8EmSrrbAc+/2UPk0zrZ4b8tZGZ3RiTgv5w71oYGM96/RUS9LaoB0b8CDul6+rnPP75hsvBTdOM/W52Gq9S6rT+shR/D+1vTP+4Y46DKqbg/LwHqBPQny7+8lTAQ0OTYv+J+uTdrZeG/wKMxakyJ5b8ItvxLeGvkv6iPXb8OR+W/53TwSEDR37/7gd8o847bv7Fzsysycte/cKL77A/C2785rFsLecXRvylWzWbcgsc/H1vUkKvrn78d5PQRtnbNv7EdRZtk1t+/lS7G+L+/478moTvg86vjv2W5cnZp6N2//AsHsnIO1L9+2BNEO6fTvx22VCJAvKs/DA7tOaFMor8mWW2MJ9bRv4NV0Mvg0NK/dKj6l3KZ278Un6zo+7/Vv5GLnK81T+G/ZncDbrpZ5b/nLjzh4czjv4jXqSBs9+K/bGVrcBlD37+OyEfwZSnVv7eETzAnOty//rxh1b28uT+ZYRWfoqLUP1KL5Yo74Kw/p6tItC5bqL9Vs4cWARqyPz0L/4D5Tca//3it6VJr0z9E2yuu2kbOv4PtO5GZZtu/sRcAuAz52b8WUenNZFzVv9ICZmdwn9E/wmAwdTKk3T/11x7ZkG2nP0duyOyaz5M/qV1ufyoUrD8eGaWgUIDJv6Y2AleQrNm/v31hL+hu4b+N/YEMTubevxCAlK2PbuC/f+VRt5z+27+P1vgNfHbdv75b3t4Trsu/62XHmQYKp7/UsN/OfxnRvzCGAEXIy3W/5rK+eqcGwj9/Rjo028vavxjdEV0tftq/v56z/RiT079am8IT7oHhvyaWzUIvD+K/EX7p6cjDrL+VUQh7zgfaP7VkpKt19uE/AAAAAAAA8L8AAAAAAADwv4tzjrbuTbM/AAAAAAAA8L8AAAAAAADwvwAAAAAAAPC/AAAAAAAA8L8AAAAAAADwvwAAAAAAAPC/AAAAAAAA8L8AAAAAAADwvwAAAAAAAPC/upHRInyKtD+l/J8SZxO0P4FAkvNcgbY/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"e1a1a746-cd0d-40fc-bfcc-d8e63ec7a556\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"plot\":{\"id\":\"4a78a0dd-d6a5-48fc-b92d-927969720370\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"783527be-d6fe-45ed-a3d0-15151028d298\",\"type\":\"BasicTicker\"}},\"id\":\"2b04677d-8356-43db-9092-c1cdc1a5d78f\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"0835d529-6eaf-4355-bc9b-2a6c33da8101\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"f4437971-6128-4edb-88c7-b1cd591c043a\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"17bf4a94-d757-4c91-9952-7da458094343\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"eba6c606-32cc-4bb7-8ddf-94301a7b04f3\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"ec38ded8-f7ae-43e8-9452-d85e1baedc06\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"ca71d5c8-5e89-495e-80bb-dc7c920afdda\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"9e03b8a2-b58b-4636-b1ba-67714bfbf591\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"a6a037c2-f450-4c57-a8c0-fc28cdd0ce35\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"783527be-d6fe-45ed-a3d0-15151028d298\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"5b7560d0-80a6-483b-bc10-af0b4ea5a2a4\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"604a2fea-7500-4ff7-b757-8b7b10593093\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data_source\":{\"id\":\"ca71d5c8-5e89-495e-80bb-dc7c920afdda\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"f4437971-6128-4edb-88c7-b1cd591c043a\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"85431c87-28fa-4576-90bc-63e640d3fc72\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"76ec1776-9819-4c6b-b796-590d6eb36553\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"4448813b-f3b9-4bde-b60d-93bf85f9a740\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"5dc7332a-39d8-496d-9b1f-64128a1db180\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"bbea5bfb-9dc7-4b3a-8c68-410223b00d18\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"change in Hydro\",\"formatter\":{\"id\":\"0f5fb146-667c-4c25-87f2-60c897fd4005\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"4a78a0dd-d6a5-48fc-b92d-927969720370\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"783527be-d6fe-45ed-a3d0-15151028d298\",\"type\":\"BasicTicker\"}},\"id\":\"99089a53-ccfa-4179-bca1-4f6d92007222\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"4cf5323e-cf81-40e6-b516-f1c8d5396587\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"eb733c83-9a0d-4869-b093-19ad9e60ba5f\",\"type\":\"Range1d\"},{\"attributes\":{\"plot\":null,\"text\":\"RFC 1.2% to 1.4% Hydro\"},\"id\":\"1cf55ee7-a422-490a-a413-15b6fec74e68\",\"type\":\"Title\"},{\"attributes\":{\"data_source\":{\"id\":\"5b7560d0-80a6-483b-bc10-af0b4ea5a2a4\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"ac00b84d-b21c-442d-adaf-009a907d9343\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"3ceb9f02-b78b-4867-9845-0ff0df526ce6\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"e8d1eb58-5e9e-40b3-85ed-6ed747d23638\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"5dc7332a-39d8-496d-9b1f-64128a1db180\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"08411d80-e112-4a6b-8fd9-550fde85ab36\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"c3655157-1c53-448b-9af4-f71afae468d2\",\"type\":\"BasicTicker\"}},\"id\":\"108c365b-dcfc-4351-aae5-0962793f91d3\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"change in Hydro\",\"formatter\":{\"id\":\"ba7de549-5846-402e-be74-a2cdecffdc5f\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"809d1ebe-e202-45e3-a6d1-c82027a1ddbf\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"37f88fa8-918a-4fbf-886f-b0f547c0e7a9\",\"type\":\"BasicTicker\"}},\"id\":\"bdd8d883-26be-4d7a-88e1-85919e5fad6c\",\"type\":\"LinearAxis\"},{\"attributes\":{\"children\":[{\"id\":\"db335fcd-174d-4c1f-acc4-34458251f7ab\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"3b2f2855-7789-41cf-94a6-7aaef65e7722\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"4a78a0dd-d6a5-48fc-b92d-927969720370\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"41436a89-bdb8-45d6-924a-1a63ea196871\",\"type\":\"Row\"},{\"attributes\":{},\"id\":\"5aabb5f8-5400-4861-95bd-9daeeea74416\",\"type\":\"BasicTicker\"},{\"attributes\":{\"children\":[{\"id\":\"b0fab7fb-158c-4874-978f-f9ab069739e7\",\"type\":\"Row\"},{\"id\":\"41436a89-bdb8-45d6-924a-1a63ea196871\",\"type\":\"Row\"},{\"id\":\"8cafb825-660c-4b72-bd45-e927e78092d9\",\"type\":\"Row\"}]},\"id\":\"b7d9ddc1-8b18-4d68-bf17-95e1b6a1d929\",\"type\":\"Column\"},{\"attributes\":{},\"id\":\"e00fe3c9-4880-41e5-8149-179465e9ef7d\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"ba7de549-5846-402e-be74-a2cdecffdc5f\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"sizing_mode\":\"scale_width\",\"toolbar_location\":\"above\",\"tools\":[{\"id\":\"56d092e1-746e-4b19-b1ce-6a10566b4f3d\",\"type\":\"HoverTool\"},{\"id\":\"a7be4ace-27ef-4bf9-b0b8-63dd039b7294\",\"type\":\"HoverTool\"},{\"id\":\"6c69a27b-f431-4e8f-b86e-87c6891b3717\",\"type\":\"HoverTool\"},{\"id\":\"46a210fa-5854-4ad5-a6d9-a27d9205713a\",\"type\":\"HoverTool\"},{\"id\":\"b5a86311-e065-4ada-96ce-5119fbdd4dbf\",\"type\":\"HoverTool\"},{\"id\":\"1743b2ee-763e-498e-ad89-ed3a727c5c51\",\"type\":\"HoverTool\"},{\"id\":\"5165e1ba-6c83-4bcb-abdc-ee5d001e0ae6\",\"type\":\"HoverTool\"},{\"id\":\"f3d32c22-d147-463c-a867-51b95f256b51\",\"type\":\"HoverTool\"}]},\"id\":\"7945cdf8-5f91-4458-a1d8-28ea5cb2b9c2\",\"type\":\"ToolbarBox\"},{\"attributes\":{\"plot\":null,\"text\":\"FRCC 0.1% to 0.0% Hydro\"},\"id\":\"2f92f5cc-14b2-4829-b2bb-2080cd4c7bc0\",\"type\":\"Title\"},{\"attributes\":{\"data_source\":{\"id\":\"604a2fea-7500-4ff7-b757-8b7b10593093\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"bbea5bfb-9dc7-4b3a-8c68-410223b00d18\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"9f99b16b-1d55-48cb-b400-d2af7372ff30\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"b1043ec0-4d2c-4766-a816-38e9733d0943\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"bec3c78f-ee0e-454a-9b52-f4e5b121ed72\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"11d0e9c5-53ed-458d-8f27-e273b2df2462\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"165a710a-4920-4573-a6b4-a9ca8ca29716\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"9d5c0f9c-478e-4a1f-a6cd-721bf6f3df14\",\"type\":\"ToolEvents\"},{\"attributes\":{\"axis_label\":\"change in Hydro\",\"formatter\":{\"id\":\"d9622344-4a4c-4ce9-8522-24f86e85b299\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"08411d80-e112-4a6b-8fd9-550fde85ab36\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"83b2bee1-6aad-400a-8dae-a67bc8c24667\",\"type\":\"BasicTicker\"}},\"id\":\"2dd08d20-01d3-486e-a0e8-69387a6772fe\",\"type\":\"LinearAxis\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"6c69a27b-f431-4e8f-b86e-87c6891b3717\",\"type\":\"HoverTool\"}]},\"id\":\"1fa5ef05-0f17-4b2c-9d64-11e9c74d5003\",\"type\":\"Toolbar\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2fb039df-e282-48bb-aca7-f7ec790fe85d\",\"type\":\"Circle\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"4a78a0dd-d6a5-48fc-b92d-927969720370\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d83daefb-443c-4c99-9e31-b406f956b58f\",\"type\":\"BasicTicker\"}},\"id\":\"e6277373-9f58-48de-b4d2-61069e3e65e2\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null},\"id\":\"c20e0291-42fa-44e9-8c05-0fc805e68b08\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"0f5fb146-667c-4c25-87f2-60c897fd4005\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"change in Hydro\",\"formatter\":{\"id\":\"1f4b88df-4b79-4274-be95-cb51dada5d4d\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"00b87ea9-9716-46e8-9f5d-a2815cf9d645\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a624f638-62b6-4de5-9bd3-1de4ad9d4361\",\"type\":\"BasicTicker\"}},\"id\":\"38e8542e-b309-416d-b3a7-1cdeb763865a\",\"type\":\"LinearAxis\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"08411d80-e112-4a6b-8fd9-550fde85ab36\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"c3655157-1c53-448b-9af4-f71afae468d2\",\"type\":\"BasicTicker\"}},\"id\":\"10a3bba5-9b86-418d-92ad-6f5394e505d6\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"11d19429-e6f7-40a3-857f-4b98ea233209\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":{\"id\":\"00b87ea9-9716-46e8-9f5d-a2815cf9d645\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a624f638-62b6-4de5-9bd3-1de4ad9d4361\",\"type\":\"BasicTicker\"}},\"id\":\"dbf89c93-373a-473e-86ea-601d4a383e42\",\"type\":\"Grid\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"56d092e1-746e-4b19-b1ce-6a10566b4f3d\",\"type\":\"HoverTool\"}]},\"id\":\"ce288889-c3d0-40e9-ae2f-1dc08a738bee\",\"type\":\"Toolbar\"},{\"attributes\":{\"plot\":null,\"text\":\"SERC 3.4% to 2.9% Hydro\"},\"id\":\"6cc7426a-204d-45cb-b162-ec6fa613d97a\",\"type\":\"Title\"},{\"attributes\":{\"below\":[{\"id\":\"bdd8d883-26be-4d7a-88e1-85919e5fad6c\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"5df5f681-662f-4be1-b2d2-b4e1fe6b73d6\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"bdd8d883-26be-4d7a-88e1-85919e5fad6c\",\"type\":\"LinearAxis\"},{\"id\":\"3a721e9c-2a9a-4a32-9c43-1b71e37a0e75\",\"type\":\"Grid\"},{\"id\":\"5df5f681-662f-4be1-b2d2-b4e1fe6b73d6\",\"type\":\"LinearAxis\"},{\"id\":\"956dddc5-9753-4e63-8df5-b50a88f0b9c1\",\"type\":\"Grid\"},{\"id\":\"0a20beb7-4238-4d4a-a8e8-0e6083bccf60\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"6cc7426a-204d-45cb-b162-ec6fa613d97a\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"55605578-f4b4-4eda-bd49-36e34a2bddcf\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"289ee950-7cc0-410d-865d-8bf4009a8490\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"63eacf8b-fd30-405a-98c8-c1ce1cae4f35\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"f4b9a9c0-1f70-498f-a623-425e73de8f52\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"eb733c83-9a0d-4869-b093-19ad9e60ba5f\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"55e467b0-b969-4b3e-9dd4-ee5a6d7c4592\",\"type\":\"LinearScale\"}},\"id\":\"809d1ebe-e202-45e3-a6d1-c82027a1ddbf\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"a20c0c57-c948-48af-aa4e-9e2b76840533\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"de7e4aa5-7bb6-4053-b747-f231c71c32fd\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"af8bd231-b0cd-4a84-8fe8-f2e03afdc0fc\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"7a52d18b-4686-45a3-a6b1-4e1c64c8ebc8\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"08411d80-e112-4a6b-8fd9-550fde85ab36\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"a7be4ace-27ef-4bf9-b0b8-63dd039b7294\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"026a65fe-8895-451d-93c4-2901fec2b3c0\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null},\"id\":\"9c8b4b44-838d-4391-99cd-2c71e06f8236\",\"type\":\"DataRange1d\"},{\"attributes\":{\"below\":[{\"id\":\"99089a53-ccfa-4179-bca1-4f6d92007222\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"230119d1-445c-4148-a792-d3b15c0fad7d\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"99089a53-ccfa-4179-bca1-4f6d92007222\",\"type\":\"LinearAxis\"},{\"id\":\"2b04677d-8356-43db-9092-c1cdc1a5d78f\",\"type\":\"Grid\"},{\"id\":\"230119d1-445c-4148-a792-d3b15c0fad7d\",\"type\":\"LinearAxis\"},{\"id\":\"e6277373-9f58-48de-b4d2-61069e3e65e2\",\"type\":\"Grid\"},{\"id\":\"e05c5917-6a9f-44fa-b0fc-93f4ba6bea05\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"8a4791c0-9a2d-45b2-a43f-245f47f06439\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"bec3c78f-ee0e-454a-9b52-f4e5b121ed72\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"dd6019c7-4a00-4768-89c8-1ec95c8b7ec1\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"9c8b4b44-838d-4391-99cd-2c71e06f8236\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"ba3d58eb-fbbc-4357-a9a5-b5a80adc303c\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"4448813b-f3b9-4bde-b60d-93bf85f9a740\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"6d0b86cf-8cb8-4ebb-9e43-b71a835ea44e\",\"type\":\"LinearScale\"}},\"id\":\"4a78a0dd-d6a5-48fc-b92d-927969720370\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"9c5d3268-6fa5-432c-b3f6-588825429935\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"55605578-f4b4-4eda-bd49-36e34a2bddcf\",\"type\":\"ToolEvents\"},{\"attributes\":{\"callback\":null},\"id\":\"6c8b2f5e-8c45-4401-a334-4207ddd7dea9\",\"type\":\"DataRange1d\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"7a52d18b-4686-45a3-a6b1-4e1c64c8ebc8\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"4a78a0dd-d6a5-48fc-b92d-927969720370\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d83daefb-443c-4c99-9e31-b406f956b58f\",\"type\":\"BasicTicker\"}},\"id\":\"230119d1-445c-4148-a792-d3b15c0fad7d\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null},\"id\":\"9dd0eb05-dea3-42ea-8eb2-e6b285945238\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"f4b9a9c0-1f70-498f-a623-425e73de8f52\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":null,\"text\":\"NPCC 12.2% to 13.2% Hydro\"},\"id\":\"fe8ab556-b775-48ba-8325-97f08bee4ac5\",\"type\":\"Title\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"20fac06f-baa4-4b2e-bb8f-1ac9ede2e8c7\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"3436b727-0210-4eb9-a9dc-82197cac2edb\",\"type\":\"BasicTicker\"}},\"id\":\"0f3de412-9565-4668-8f0e-d5951c124382\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"629d972b-30f3-4fa8-ab55-448f9550d174\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"a624f638-62b6-4de5-9bd3-1de4ad9d4361\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"7082c102-b346-493a-8904-1ce9bfd62572\",\"type\":\"Range1d\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"83a7e70a-361b-4f4a-bf8c-d371a8161a48\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"809d1ebe-e202-45e3-a6d1-c82027a1ddbf\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f751f078-b176-4227-a09f-3f6a0accb8ad\",\"type\":\"BasicTicker\"}},\"id\":\"5df5f681-662f-4be1-b2d2-b4e1fe6b73d6\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":null,\"text\":\"WECC 24.6% to 23.0% Hydro\"},\"id\":\"36e0e5fe-1aa6-4874-9019-666a38d91c4e\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"cacb65e8-9ffc-4994-8091-105957b7fc5d\",\"type\":\"LinearScale\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"a7be4ace-27ef-4bf9-b0b8-63dd039b7294\",\"type\":\"HoverTool\"}]},\"id\":\"840a0f1d-378c-465c-b954-40b7dce505a9\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"283c8b05-bada-4a7f-94f9-d7eb9e795fcd\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":null,\"text\":\"MRO 3.8% to 4.5% Hydro\"},\"id\":\"e41fdef6-1f2b-4702-96cc-f4004f9d37fc\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"20fac06f-baa4-4b2e-bb8f-1ac9ede2e8c7\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"56d092e1-746e-4b19-b1ce-6a10566b4f3d\",\"type\":\"HoverTool\"},{\"attributes\":{\"below\":[{\"id\":\"2dd08d20-01d3-486e-a0e8-69387a6772fe\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"108c365b-dcfc-4351-aae5-0962793f91d3\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"2dd08d20-01d3-486e-a0e8-69387a6772fe\",\"type\":\"LinearAxis\"},{\"id\":\"2cb58772-4333-46df-b882-267feaa949a5\",\"type\":\"Grid\"},{\"id\":\"108c365b-dcfc-4351-aae5-0962793f91d3\",\"type\":\"LinearAxis\"},{\"id\":\"10a3bba5-9b86-418d-92ad-6f5394e505d6\",\"type\":\"Grid\"},{\"id\":\"e8d1eb58-5e9e-40b3-85ed-6ed747d23638\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"206f97fa-f452-4065-a021-381fb1aa99de\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"eba6c606-32cc-4bb7-8ddf-94301a7b04f3\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"840a0f1d-378c-465c-b954-40b7dce505a9\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"9dd0eb05-dea3-42ea-8eb2-e6b285945238\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"ec38ded8-f7ae-43e8-9452-d85e1baedc06\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"a73f86e4-0c8d-41f6-8ce4-6632bb2ac04e\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"11d19429-e6f7-40a3-857f-4b98ea233209\",\"type\":\"LinearScale\"}},\"id\":\"08411d80-e112-4a6b-8fd9-550fde85ab36\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis_label\":\"change in Hydro\",\"formatter\":{\"id\":\"c4b40fcf-2dec-4b64-9ae4-150ad6622546\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"72d60781-1231-4c60-9f42-eeabde4af33c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e00fe3c9-4880-41e5-8149-179465e9ef7d\",\"type\":\"BasicTicker\"}},\"id\":\"f81ce565-d4b3-4ac9-bef6-5599b226cc7a\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"1adefc0a-bb26-4235-be1a-4d738c532d19\",\"type\":\"Range1d\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"46a210fa-5854-4ad5-a6d9-a27d9205713a\",\"type\":\"HoverTool\"}]},\"id\":\"ed5ad7de-6d77-456b-b3f8-d269d24e2618\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"f751f078-b176-4227-a09f-3f6a0accb8ad\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"0a87281a-7490-42c7-8f4b-fcba274d17ea\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"4df334f0-a28a-491b-99fa-277eb04ef825\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"72d60781-1231-4c60-9f42-eeabde4af33c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"5165e1ba-6c83-4bcb-abdc-ee5d001e0ae6\",\"type\":\"HoverTool\"},{\"attributes\":{\"below\":[{\"id\":\"f81ce565-d4b3-4ac9-bef6-5599b226cc7a\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"0b3bec63-601b-4b94-a2d4-00715121eff5\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"f81ce565-d4b3-4ac9-bef6-5599b226cc7a\",\"type\":\"LinearAxis\"},{\"id\":\"96b931b0-32e7-4aa3-9cb4-739d79c22163\",\"type\":\"Grid\"},{\"id\":\"0b3bec63-601b-4b94-a2d4-00715121eff5\",\"type\":\"LinearAxis\"},{\"id\":\"bf558c1e-ec61-4127-aa48-e2082d98e5f3\",\"type\":\"Grid\"},{\"id\":\"d3855805-7c3c-44f2-a444-16333b93b6c1\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"e41fdef6-1f2b-4702-96cc-f4004f9d37fc\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"9d5c0f9c-478e-4a1f-a6cd-721bf6f3df14\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"4620a432-d95a-4e41-8165-b6ac86d20f80\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"f4f340e6-6001-4fe8-b53f-f0714cf7987a\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"cacb65e8-9ffc-4994-8091-105957b7fc5d\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"9c5d3268-6fa5-432c-b3f6-588825429935\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"3bb3beda-fea7-4893-8c5f-5e8b933c5eec\",\"type\":\"LinearScale\"}},\"id\":\"72d60781-1231-4c60-9f42-eeabde4af33c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null},\"id\":\"f4f340e6-6001-4fe8-b53f-f0714cf7987a\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null},\"id\":\"63eacf8b-fd30-405a-98c8-c1ce1cae4f35\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"00b87ea9-9716-46e8-9f5d-a2815cf9d645\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"6c69a27b-f431-4e8f-b86e-87c6891b3717\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"6d0b86cf-8cb8-4ebb-9e43-b71a835ea44e\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"a73f86e4-0c8d-41f6-8ce4-6632bb2ac04e\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"4a78a0dd-d6a5-48fc-b92d-927969720370\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"1743b2ee-763e-498e-ad89-ed3a727c5c51\",\"type\":\"HoverTool\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"d5a058c5-2cce-4fc8-ac1d-37055aec5e4f\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"20fac06f-baa4-4b2e-bb8f-1ac9ede2e8c7\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"3436b727-0210-4eb9-a9dc-82197cac2edb\",\"type\":\"BasicTicker\"}},\"id\":\"7cc55242-b1f3-46d9-b81b-f5a5546ed8f6\",\"type\":\"LinearAxis\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"809d1ebe-e202-45e3-a6d1-c82027a1ddbf\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f751f078-b176-4227-a09f-3f6a0accb8ad\",\"type\":\"BasicTicker\"}},\"id\":\"956dddc5-9753-4e63-8df5-b50a88f0b9c1\",\"type\":\"Grid\"},{\"attributes\":{\"children\":[{\"id\":\"7945cdf8-5f91-4458-a1d8-28ea5cb2b9c2\",\"type\":\"ToolbarBox\"},{\"id\":\"b7d9ddc1-8b18-4d68-bf17-95e1b6a1d929\",\"type\":\"Column\"}]},\"id\":\"687adb20-ca1b-4c56-80b0-3946b0afae2c\",\"type\":\"Column\"},{\"attributes\":{\"axis_label\":\"change in Hydro\",\"formatter\":{\"id\":\"c599f01b-f424-4181-8131-259608740bac\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"db335fcd-174d-4c1f-acc4-34458251f7ab\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"70f17d94-9f3c-4e4f-a47d-dd478780d573\",\"type\":\"BasicTicker\"}},\"id\":\"5a38865b-08eb-468d-a435-3a31911759f6\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"3b2f2855-7789-41cf-94a6-7aaef65e7722\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"497f13c4-c613-4c49-bfab-2df8dc84f560\",\"type\":\"BasicTicker\"}},\"id\":\"7e7242e8-7f21-4174-b412-4ed3e93a62c9\",\"type\":\"Grid\"},{\"attributes\":{\"data_source\":{\"id\":\"e1a1a746-cd0d-40fc-bfcc-d8e63ec7a556\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"a20c0c57-c948-48af-aa4e-9e2b76840533\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"58457872-fdd0-4c98-8c7d-034db0d3dd90\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"cf45ecec-607d-4f2f-bd72-a792e5e12d6a\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"e5f8203c-d687-4b4c-ab07-3713ba093556\",\"type\":\"Range1d\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"72d60781-1231-4c60-9f42-eeabde4af33c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"0a87281a-7490-42c7-8f4b-fcba274d17ea\",\"type\":\"BasicTicker\"}},\"id\":\"bf558c1e-ec61-4127-aa48-e2082d98e5f3\",\"type\":\"Grid\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1743b2ee-763e-498e-ad89-ed3a727c5c51\",\"type\":\"HoverTool\"}]},\"id\":\"dd6019c7-4a00-4768-89c8-1ec95c8b7ec1\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"d4e6d0d3-61c8-46fa-a091-b318f9c143b4\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":null,\"text\":\"ERCOT 0.3% to 0.2% Hydro\"},\"id\":\"206f97fa-f452-4065-a021-381fb1aa99de\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"83a7e70a-361b-4f4a-bf8c-d371a8161a48\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"58457872-fdd0-4c98-8c7d-034db0d3dd90\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":{\"id\":\"809d1ebe-e202-45e3-a6d1-c82027a1ddbf\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"37f88fa8-918a-4fbf-886f-b0f547c0e7a9\",\"type\":\"BasicTicker\"}},\"id\":\"3a721e9c-2a9a-4a32-9c43-1b71e37a0e75\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"809d1ebe-e202-45e3-a6d1-c82027a1ddbf\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"f3d32c22-d147-463c-a867-51b95f256b51\",\"type\":\"HoverTool\"},{\"attributes\":{\"data_source\":{\"id\":\"38ce36a4-9725-4e2f-ac6f-51763cfbe6ae\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"b2061929-641c-4392-8f3f-3fd3ea5b1f34\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1ac7f330-1db9-4cbe-baf9-e4f8863c2d45\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"e05c5917-6a9f-44fa-b0fc-93f4ba6bea05\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"data_source\":{\"id\":\"de7e4aa5-7bb6-4053-b747-f231c71c32fd\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"86920bff-0fb8-4850-adaa-98850ee1369f\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"dfcfe1a2-577d-41a3-9dd7-8784b1926ed2\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"d3855805-7c3c-44f2-a444-16333b93b6c1\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"85431c87-28fa-4576-90bc-63e640d3fc72\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"a87b00b6-d487-4389-9f3d-8b9afe87ab15\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"N2z5EKAW1r9Bvi280EeMv1m7eU1Yb80/NVKc3MnTxr+TNuJVnDvfv7e1UfQspc+/cb4MHV+M2L+JWnw2XF/Ov1Jmr9ClwNO/6hndjXbK0r+XrrHoTBDXv3x4mWeo2rm/uBlCx4+yur+aRjgJfTWjP+KoJ0ABmbK/66elz4gVrb//nKwhCnO3v+GohHirkNe/EZXfg48+3L9NAeWA2iHcv2gxmsH8kNi/qG6ge9ow0L/8zT85G1LHPwObVBeNVtk/B7GC4rVsXz/GS6O7QnXJP9XSlg4JGuM/cENbKBj40T+pfPpmrtDnP+Z0WxkJBto/16yJdfQ60z8hly9D8xizP6JSuHbOv6i/iP3fy8Q2rr8xV7Tu8WOxPxDieoa1UNE/jmwtk8lbsj/uQd498p3OP0pkh8C1LrI/ek4eylbH1b85oOyF7nbXv/Nbs00HPMe/JUOTBi34wL9EdXn4A+THv5pgjGGTN9I/I2v09dzBwz9JErqj2GnfP/St+3qbLOg/qsI/VCJg1j+RoAcJUvDTPwhZGjVwQtQ/8P2AWB901j9MUWYconS/v7ii8zLdXaa/oIWA9jZ0pT8nV/HFMN7Hv1rhZnlZasi/GOpxyS1X0b+/QOHFpEfUv1VEW58qO8a/znXSsAbSeL9Xmd7Bmzuyv752VNExVdO/ijNXM6Mk1L+Gn2GXWoDTv1MkT40yzd+/ur4pctTy379wEhdAuabcv2NAt6X9Gty/giqrQlvn1L8sPwZ2Y8KSP2AEz2PHttC/EVJZXMsq0D9bn5qcrfjPv1VViwg9J9S/5oQxM6g22b+KHKQ/8GPfv50RXQ4Gx9y/cfWEs4z44L8sc3Uoea/dv1m+uYw4QOS/z6fAx1sp5L+5NdkuFLXmvxlM2DjfHea/ymTCw7ju3L8TI3ZZHl7Hv1VVVD11zaO/elw+/kA8wb8d9Taq9kPUv0WOUL5wp9u/j5EKMHtz2r89PMi2smrSv04/GP+yiNu/8ulH0M+C2L8rCW2YB8LgvzW8/5Ju43i/LJh3bfXqvD80F0Q5THnKv+AAa/FY5rk/U3008eD7wz+8gk9k1nDWPz2chWgRibi/HtFHB7IO2L/zx+NS+1TUvxSFgKy4OaK/r9YkNKDi4D8lc0lOEqvnP0VXZO+5++g/D96/KGwG3D/OtWjk5bPlP1t8riiEONA/d8UBzc8vwL/kuZOCIae2v2teoLwUr9O/fThOnWoo378IbkxqijHZv0ndKrDsodu/7SLePY5+2r9i7nH7fBLVv3PuTKLYWMa/1RCAnWm60r/AH0ID/pbRv09JkUZIh94/tc7AN/C/2D9UL03nSabEv4RKeyvuN9a/q9V4pb033L+AciPT3n7av+ppIXPhm9O/A4A967fE179q+lWYFvLEv9tLwwyAetM/8ibIpVdS0z9tVxJvLjm9P2pxbl8tzcE/nI8iI7rz1L/8fLxiUpPfv2eH0PdjKuK/dQgA3BTQ47+mtm1G42Tcv3I6l+OqKNq/f0MX0wXUz7/MJb0EfhjSv2GHtgdcb9O/VlnCUtsCzj+ZEaBcgLTdP6mJJQsZfcU/+CdZELgazD8myxKKY97gPx6BnNwtdcQ/MyOHNR2E2D9z8RwwRl6YP+wP45Q7jsG/G6LnuNTuvr/OxIyUWlXDv21HB3jCetk/Loc763iA1j9iwZXo7y/LPxXZvT7oI5i/k2UQX9q6vT/Iy78guPnTv2kT2tJ8BdW/yfssUCv62r/HCipx6kDWvyY8KCxk39W/CbfeU0Lcmb/4MHYsVoe9v5hP/4dUT7O/bvvnGxfQlD//ZgByA3PLv0Eg4Mpf58Y/aOzxZNcm0T/N53K0UyLZv1YgEuGM2ti/kBZbE2dGy783xBEMmHrRv1vkdTOIe9e/aGlPAuvRoj9KDzw9+77ZP44QH8ywyOc/X4GQBs506D8NmG8UYwDlPxhmdwM2MtM/vDyIwfFKyL8UthW4VITUv0fv4/5WY96/fKwi1AiQ378FC7rK/THav/jkJiXuQd2/eeeJ/inx1r/TfgMDo83gv9Bm+ry2W9q/lDbD9BLWwj8q50tSgXXCPyGXjM2AuMY/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"a096a1d0-16b1-48b4-b2a4-98c24d2d01c4\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"below\":[{\"id\":\"38e8542e-b309-416d-b3a7-1cdeb763865a\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"5643835f-8ff2-46d8-8231-00f1daea5b35\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"38e8542e-b309-416d-b3a7-1cdeb763865a\",\"type\":\"LinearAxis\"},{\"id\":\"dbf89c93-373a-473e-86ea-601d4a383e42\",\"type\":\"Grid\"},{\"id\":\"5643835f-8ff2-46d8-8231-00f1daea5b35\",\"type\":\"LinearAxis\"},{\"id\":\"9b6b948d-d91d-4fe0-be83-65ce53492436\",\"type\":\"Grid\"},{\"id\":\"b1043ec0-4d2c-4766-a816-38e9733d0943\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"36e0e5fe-1aa6-4874-9019-666a38d91c4e\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"629d972b-30f3-4fa8-ab55-448f9550d174\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"1fa5ef05-0f17-4b2c-9d64-11e9c74d5003\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"2ba6e763-2ec3-47d5-bc76-2c95ca90d282\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"4cf5323e-cf81-40e6-b516-f1c8d5396587\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"5222142c-2001-43e2-823f-d739a5668c1b\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"9e03b8a2-b58b-4636-b1ba-67714bfbf591\",\"type\":\"LinearScale\"}},\"id\":\"00b87ea9-9716-46e8-9f5d-a2815cf9d645\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4f2c+XUaLYd2/mGzdNHQA3b/Ut8jGjJDcv9LFdrpZ0d+/2oLxfZ9X17/45nlyhEjavxTXz74Kv9m/mWSlwDAn278ufz7WbA/Xv+WhA0u/n9W/P32282RW17+SxrWk99nRv3KHGESoycq/p4SMaW67yL9DFWBNOiDJvypjXvJn78i/29RTU89k0L9DZ/o8lzvQvzQ3iPdy1dC/cUf0u1xtzb+X3sRohL7Iv5w/0tXXrsu/D7Liog9wwr/mqDySo4fbP8vkizbg2do/eAQJpueQ2j/qq0C9naTaP1epu72oHOE/cIDduAdY5T9zZJ1Lg8jnP7C8GUJj2Oc/CxHnOmnD6D9lqtnn1p/oP/BDKCh6u+k/sMWFbYEw6D8byLwh/qmMv6jwAiCoe6W/gLgAJ5LCkb8tZuTq13Wkv+gBJwtXK4y/mcfznIRwu7/P3OEE/7bFv8J53afUxZ+/P9A3dp1AkD8kCQxXOiKsP7p2IM/XRr0/fz7eta3CwT83PR+W0WO5PwkSlFGsoKa/XENuaclG0L/vYrnVHNvTvxYSqAogDtC/R/QYjmR2hz8hRJSl+PCnP99ldAS9/6g/EEILyPgYqj8TusZtdsGsP9xGm7LAiqw/3a0k+uL8tj/TFWugw9KyP7XbBLF7l64/q14yJzb4or9HsRaBuvKiv3WJrNY+kaO/svcWkTV7wr/zNee8r3nOv5kUtvxPAs2/gaBfS4eByL83lZxjsry8vy5IMqqSEry/9ONh5xRiw78hsNUTqNLUvw3csuefl9i/R2G+bcJe2r+og5rbU7rbvyE2lox6fdG/4+3oqAY/1r8U3q4EH53Wv98WqORd/dS/sPu4LEPU1L/cloB0S73Yv1e2WHWRv9i/JvEm/cu2278T7uL0ijjdv7EFeUtON96/BT0fGfgt3r8bQ+k5VCTbv3LhVyBf4du/9LkkXDKl07/lWixGWf/Tv1tJ4sluVNO/pLKDQGln079+afXlUVjUvxLLI5P5q9e/43XRfw720r+mF0OpVZDNv2La/zT1nc+/f85ndScO0b8WrUDXogXRvx3AyNcxDde/avye5fKP0b8c58/SOi7Ov5E79FFR7My/88d9vqfWyr+BOtVBhKXKvx7R/0RMp8q/2x7z6XVvxr9gC+EUasXTv5dkyo0SGdO/WIj/1NK20L8UYmMCXszQv+YegM9Svcu/hGGtH2w80r818N03HkjRv21BIMgqgNK//KQg1Zkt1r8XpWqsa1/Xv/zWZmg54dW/nGCaOjCj079I1jJBZqfSv3mWgP4z9NG/h1jzrMeE0b8GJMJRipvRvzhsi/wY8a2//GYntLt35T/TejKDZJLnP2aJNGwEK+Q/qnMjQ+Ye4z911NQKtU/iP6j31nHXx+E/NKDkJ5Ci4T/b0TMHuHThP7O6ly770d4/aPnKtpVJ2j9KA7xVkf3WPwJvaIVL3dY/Ac+znQr0q79p5D1oSOizvzpENYMuvaE/pEKvEZKOlT/FY6ev+G2nvwaXWxqPxKq/OB02lAJgnL91LtWwSC2QP5/6Pb5jU38/uLniWRH6mz8/kfNnV+LFv4XmNfbffMe/nqqtgM34xL+tzIflJTzJv2kvwi13rNC/6iVDQqzE0b9lgDrQLpzRv5GAbuRE79i/MhjR9JCS07+wkd4N0BnAv3bq9UuJQ7e/28N0AfhfkD+YfJLB2zu9P3YoTnN78rw/mGB8cxCGxD9xST9YQhPTP5ialUXyg9I/Lypjo7uYvz/z5t4e3Ciqv41ss9+a7r2/P1fN1lwov784Fc81u0HjP3j6fhauyfA/sNBC1vJQ8j8B26PZJGH3P/iHw2yRMv8/nCjjXCtcA0CKrXlcR1cFQCOdSjW/igRABDjN/vcFA0CTAwZTagQCQB+bDa7vxQFAT4tD/FBBAEBsvBvvZtj/P58ylRmXV/8/lcUxepopAEA9+kXuiW0BQPn2p7sxnwJA\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"38ce36a4-9725-4e2f-ac6f-51763cfbe6ae\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"plot\":{\"id\":\"72d60781-1231-4c60-9f42-eeabde4af33c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e00fe3c9-4880-41e5-8149-179465e9ef7d\",\"type\":\"BasicTicker\"}},\"id\":\"96b931b0-32e7-4aa3-9cb4-739d79c22163\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"d5a058c5-2cce-4fc8-ac1d-37055aec5e4f\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"0decd67f-fa79-4803-b79d-3140203dd6e1\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"37f88fa8-918a-4fbf-886f-b0f547c0e7a9\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"17bf4a94-d757-4c91-9952-7da458094343\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"72d60781-1231-4c60-9f42-eeabde4af33c\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"0a87281a-7490-42c7-8f4b-fcba274d17ea\",\"type\":\"BasicTicker\"}},\"id\":\"0b3bec63-601b-4b94-a2d4-00715121eff5\",\"type\":\"LinearAxis\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"db335fcd-174d-4c1f-acc4-34458251f7ab\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6e544cc8-37a0-4563-a899-17446ef51680\",\"type\":\"BasicTicker\"}},\"id\":\"2935b466-aec0-4c7e-93d5-030134b01526\",\"type\":\"Grid\"},{\"attributes\":{\"below\":[{\"id\":\"41d3eb50-c65f-4f39-8cbe-6320647b844b\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"7cc55242-b1f3-46d9-b81b-f5a5546ed8f6\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"41d3eb50-c65f-4f39-8cbe-6320647b844b\",\"type\":\"LinearAxis\"},{\"id\":\"e943b785-b73f-4215-9d83-50d2ac82a2e8\",\"type\":\"Grid\"},{\"id\":\"7cc55242-b1f3-46d9-b81b-f5a5546ed8f6\",\"type\":\"LinearAxis\"},{\"id\":\"0f3de412-9565-4668-8f0e-d5951c124382\",\"type\":\"Grid\"},{\"id\":\"76ec1776-9819-4c6b-b796-590d6eb36553\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"fe8ab556-b775-48ba-8325-97f08bee4ac5\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"e328e986-a1e2-4932-a6bc-8fa79d3584de\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"ce288889-c3d0-40e9-ae2f-1dc08a738bee\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"c20e0291-42fa-44e9-8c05-0fc805e68b08\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"026a65fe-8895-451d-93c4-2901fec2b3c0\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"e5f8203c-d687-4b4c-ab07-3713ba093556\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"772c4f81-1fef-44b6-8bc5-71cd320e1bbb\",\"type\":\"LinearScale\"}},\"id\":\"20fac06f-baa4-4b2e-bb8f-1ac9ede2e8c7\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"11d0e9c5-53ed-458d-8f27-e273b2df2462\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"00b87ea9-9716-46e8-9f5d-a2815cf9d645\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4df334f0-a28a-491b-99fa-277eb04ef825\",\"type\":\"BasicTicker\"}},\"id\":\"5643835f-8ff2-46d8-8231-00f1daea5b35\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"dfcfe1a2-577d-41a3-9dd7-8784b1926ed2\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1ac7f330-1db9-4cbe-baf9-e4f8863c2d45\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"d83daefb-443c-4c99-9e31-b406f956b58f\",\"type\":\"BasicTicker\"}],\"root_ids\":[\"687adb20-ca1b-4c56-80b0-3946b0afae2c\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"aadf55ac-9030-4902-9cf8-80f09689480a\",\"elementid\":\"b6b8f7a4-b476-4ba8-8313-614fcf2dcabb\",\"modelid\":\"687adb20-ca1b-4c56-80b0-3946b0afae2c\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"b6b8f7a4-b476-4ba8-8313-614fcf2dcabb\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_bokeh_plot(gen_index, 'Hydro', 'change in Hydro', \n",
    "                  'change in norm variability', y_range=(-1, 7))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Solar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Percent Solar vs Change in norm variability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T11:53:53.114922",
     "start_time": "2017-07-18T11:53:52.165563"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"54a46bd4-48e8-4b70-9ff9-5d8a9c84edeb\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<div style='background-color: #fdd'>\\n\"+\n",
       "       \"<p>\\n\"+\n",
       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "       \"</p>\\n\"+\n",
       "       \"<ul>\\n\"+\n",
       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "       \"</ul>\\n\"+\n",
       "       \"<code>\\n\"+\n",
       "       \"from bokeh.resources import INLINE\\n\"+\n",
       "       \"output_notebook(resources=INLINE)\\n\"+\n",
       "       \"</code>\\n\"+\n",
       "       \"</div>\"}};\n",
       "  \n",
       "    function display_loaded() {\n",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"54a46bd4-48e8-4b70-9ff9-5d8a9c84edeb\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        var s = document.createElement('script');\n",
       "        s.src = url;\n",
       "        s.async = false;\n",
       "        s.onreadystatechange = s.onload = function() {\n",
       "          window._bokeh_is_loading--;\n",
       "          if (window._bokeh_is_loading === 0) {\n",
       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"54a46bd4-48e8-4b70-9ff9-5d8a9c84edeb\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '54a46bd4-48e8-4b70-9ff9-5d8a9c84edeb' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"d70c2477-b889-4b83-8c3c-2dd34a1785f3\":{\"roots\":{\"references\":[{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACQ4SvT9E/U+7aNkz7W2lD6faRo35GXAPoTQFxycydQ+C0Xmjcx+3D6Ft5/LGzHdPqt0MV5D19c+dyQCbXLk2j7S8mzhkvjYPg3n/6jyatc+Zx9gDVv10T4A7C4lLCzFPmEETb5RB7Q+HCuwZAps1T6qI8JSBJ7hPkRyLJH7HvI+p5IRzw1HAD8nh/0W4kMCP+yXq6cfEgE/HU9XMFLo/D6oPLj7QPr7PhU36c666P4+/wtaMYUr+z5SYkWJWpH3PiN+9w4tvuw+sI6HxGJv+j6e2wpxqwD5Pl7PIyk3ZQU/tFNqheUABD/hqMD3xekEP9zYLEMkkv0+kfXy0mAa+j6bQFkmniv7Pi3qlfncrAE/oLs+FmjM+j6hI+Q1KVr6Po5FyXwt1/A+2ssdwILVAT81dWiaI4ECP4Yr/2LDuRM/0BptJrsOGz8syQsOqq8bP3e7YAFlRRs/HdLd6JLCHT8Sw+DSS5caP4hehpvXyyE/jjBDfN1oMD/WbRJ0mFU0PwozKvqMS0I/iff7o2spIj9kcOvWX2EwPxChm1u3cDU/EJkjnFgqNj/JeaZfNY49P+4fqJT4GDw/alZhJ6EnOj9oHVCGZpg5P/OoO9kNcj8/3+8kRIJXQz9oa8dJl19AP6h1+npiq0A/Y6Kgz1YpRT9PT6X0MohOP+xzeZZunVQ/HYBmkrZdWT+qHC0Z6OpaPx2IVvsjGFc/xDIzFRXIVj+A1Oj02m1XP8mI5MxO0Fc/XepgOqzdXT9e3kZJ5ShTP07JlkxyR1I/YB9TgcSOUT9f3+ZR3qJRP6mrskkwVF4/zenRgQjmYj8EttVuKUFmP/sKlLSjnGI/gAvmcJ5dYj9u1YVIoWNiP4OsKzBOp18/fudiErhXYD9yl9++OYtaPwFF2gM70WI/9Bt2vxU4ZD/jXre0Q2RyP3cRV5cLOXY/sw8JOkrgdz/xhRcsy155Py0Mm/j4AnY/cEhp+Nimdj9UtUfZBit2P3JeKfHgGng/pZoP/mChej8iWRVpcVV3P/jyRKD5jXA/g/Le4t6ScT9PBT4eUdF5P0NAy6tCsYI/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"6e7b8b82-0efb-426a-99bc-54d91c917276\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"7ee7bde1-56d1-4f77-9c25-a94d5e34f8e9\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"71a06e6d-6f85-4077-8368-cc2e139edd4e\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"c7cb42f9-a1af-4ef6-a2d7-8352e6b7ab6d\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"a5d9ae8a-d5b5-42b3-a0d1-58298a2be3b2\",\"type\":\"ToolEvents\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"30402362-f768-4cb7-8456-0e102e30face\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"724d28da-e38d-4d07-aff3-04cb9b1acecb\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":{\"id\":\"10427867-dc59-47a0-b98e-59c3acbc5b44\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"15b812e4-7b5d-4887-bbe6-ef01bb3c708e\",\"type\":\"BasicTicker\"}},\"id\":\"5e06347b-3479-4b90-83d3-16a4aa8fe5b7\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"f42c83e8-2fe7-45cc-918d-251ca6764a5e\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"146a95f4-cafd-450f-bb67-d49672ac8fbe\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"4df85cde-d673-4621-a2c5-7729ba60fcbd\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5c20e6bb-e3bc-4ece-bec6-e98785753dfd\",\"type\":\"BasicTicker\"}},\"id\":\"f7657927-6d54-4c08-9a40-5616bebb474f\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":null,\"text\":\"NPCC 0.0% to 1.5% Solar\"},\"id\":\"44468372-7340-468d-b9f6-47376fb80537\",\"type\":\"Title\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"6217ff3f-1939-45c8-9f7a-0f460e8f7e2d\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"26d3cb04-357a-4472-885b-931c9571b134\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"12803595-e03f-44a7-ab9b-2e722a523def\",\"type\":\"BasicTicker\"}},\"id\":\"40e887a7-7168-40bb-91bd-529e0a883daa\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"percent Solar\",\"formatter\":{\"id\":\"ac0632a9-8cf5-4e97-acdd-805b94d55a6c\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"aabc3cab-40ce-4ca6-933a-3e9d50a3f761\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"317d7b2a-c0ea-40ed-bf3c-4d3d6929d1c3\",\"type\":\"BasicTicker\"}},\"id\":\"4427ec4f-020d-4bcf-888b-34db4d222267\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"aabc3cab-40ce-4ca6-933a-3e9d50a3f761\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"5d426f20-5ed1-4f06-ac47-37f64bf1b8e0\",\"type\":\"HoverTool\"},{\"attributes\":{\"children\":[{\"id\":\"3a9953fb-241c-4de9-be1a-9028368f91c2\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"10a4247a-d30d-4558-8f66-db31aa762502\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"4df85cde-d673-4621-a2c5-7729ba60fcbd\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"d70bc98a-e074-4c0f-b5db-713028ce5008\",\"type\":\"Row\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"c4ff5e08-10ce-45df-9b3a-02d06dc98016\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"098b9b81-256e-4085-9ea5-45d06cb38e81\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"21c0a839-8388-4815-a2a7-a9eb44c1e90d\",\"type\":\"Range1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e0422e58-8256-447f-8563-a40953f8ea54\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"c535d1b8-27b1-4552-b765-2c3fa318285c\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"3a9953fb-241c-4de9-be1a-9028368f91c2\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"6e18e31d-5322-4439-a72a-06504c9ad86f\",\"type\":\"HoverTool\"},{\"attributes\":{\"axis_label\":\"percent Solar\",\"formatter\":{\"id\":\"21e81b7e-3667-4534-bf2f-462ce8f88f78\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c4ff5e08-10ce-45df-9b3a-02d06dc98016\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7ee7bde1-56d1-4f77-9c25-a94d5e34f8e9\",\"type\":\"BasicTicker\"}},\"id\":\"77805f79-600e-4baa-9656-2b0636f9df41\",\"type\":\"LinearAxis\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"098b9b81-256e-4085-9ea5-45d06cb38e81\",\"type\":\"HoverTool\"}]},\"id\":\"6276d9a5-9f7f-4192-8134-1fe825fd2e68\",\"type\":\"Toolbar\"},{\"attributes\":{\"plot\":null,\"text\":\"WECC 0.1% to 5.2% Solar\"},\"id\":\"b716c25d-c475-4054-a3b6-76d4f39492b9\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAStquwLlj0D6jGQfHN9TaPkuDp/rc++E+8qUfWuy95T4IT5lzUvLoPq1mHL/oKus+dP7s2nDO5T72OH24jonpPstPFI1w3+w+qaeNcxJv7z6s7aT9Z8boPituF2dyUuY+2bJUhhGFHD/dcGQRpsYkP8AotVFnKTA/JKsL6QVjNj9gVS8VxXo3P82EavDFEDc/lXZ8LGcwOD/S/dxukr42PxNzxo9zkTg/YV02/Af6Mz+Sk0PE5rMsP/VOzmRL7Sc/eGcC7jJpJz9loN1Cs8svPyeGx/VaTjg/bfhxpZ01QD9YD2iS5vBAPxUIVAuGVkA/VBfLcAuwPj+2zTXha9M9P/WmGC1BKjw/yMRG3lnXNz+20mxYlxAzP6+NERB19y4/4K6YCsDRLj9Nu0Hpy+A2PwdQwtNfPkE/OQdMVVtxRT+s3TiWq+5GPziHC1f6q0M/evo010o1Qz9WmE1OUtBBP/aHa0H3LEM/gAU82axZQD/JSID6IZs4P8/x7OKInkQ/eQXjZhp1UT+9sRNfntxfPyUoAk+QQWc/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"ffb556e8-40b7-46d6-9c44-8c63e193edf7\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"37f23c9c-4526-4184-a43f-bba6ccde87b2\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"9d458481-dd02-476d-8721-ec0783ced384\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"317d7b2a-c0ea-40ed-bf3c-4d3d6929d1c3\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"767cc760-c71e-407f-893b-da5ada96f56c\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"504f048f-1925-4232-a7c2-05cf70520dd6\",\"type\":\"ToolEvents\"},{\"attributes\":{\"plot\":null,\"text\":\"RFC 0.0% to 0.5% Solar\"},\"id\":\"cbb1b17b-1f4c-4068-a534-126101494dda\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"6217ff3f-1939-45c8-9f7a-0f460e8f7e2d\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"12803595-e03f-44a7-ab9b-2e722a523def\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"10a4247a-d30d-4558-8f66-db31aa762502\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9bb3908d-5f73-4494-b783-b76309728923\",\"type\":\"BasicTicker\"}},\"id\":\"ea77d161-fc52-4ecd-93b3-6e24506c70dd\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"50fcdc0a-985a-4394-ae27-0a445a6e99d0\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwpgSQUj7Mi/FZjsE404yL8smK67Nz3Iv4PlNG8OT8u/ayM9chIPyr/9o/d8jAXLvwc21XFtEsu/9nDEvFOBy78GFA4ilN3Pv06XJcjWCtC/H0DK0Gkrlr9CnqBNA37RP9+1FtJtcNo/b/MDsY4l4D8VHixJo+XhP1cVjL57rtk/hogEuERJ1T8ixhGMnxrUP2kM2wOAsNE/Or4yVhLSyD8WIx8YrSHPPwpbTAM4stM/f61vVdFu0z+HtlQXvT7RPyvfJsr7vMo/lue7ODsYyT8YmpfpjFDTP1Td+4K08us/FVHtlJHK6j+cEQal883oP91iZ1d/+eQ/56k18VRt5T+4Q+gkvWfnP5o2z09JdOg/i3IKQQno4T92zpcUur7dP5IEkuhgt8k/40ID8xhbdD8B8unWKAKBv7eVNf77IMS/h2VnN3ytyr9m/rlHOWnKvx1rSB83LcK/R2n2mJQfur/hErffgqGZv8hJ4ro7+Za/tJPoaNajzD/TL3tRJHrVP2arMruartM/F1hUJKVD3D8L7Zs5B9bbPxRMScXsh+M/ui4Rm6Kn6z/TRJhR6zrvP+Ha15xKGPA/SMmOZDJX8D8iLEea87TwPzTGrW3rtPA/+u19XJyy7z9rSknf8JfqPxJad59lpOg/nZwlLbXO2z+g0CVY48raP0eauKXVcdo/DgQCloWR1T9tA+cDDI7OP6Zq8EYZR8k/BPY+U0TOxz+fC1TFPsDPP/uK1mijHtQ/T0E1gsc8hD/TSq3WfRaIP3unNSu7i6w/XY0aXzdCsD/I3FLYYnGqP4iXr59BANo/TtZbUc4u4j9ZggE3US/iP+ebBcgpLeI/iUWgJOir4j9I576TYajhP/BUpJawd+U/LG22kab/5j8JO+ctJXbnP8wsFWpu1uc/YlM3d5Mk6j/CGNI/1ojxP+6V4r3NQPo/cFgoA0+E+z8OoaU9k4P8P93iFr1uBf4/FTodlhP5/T/h+hDU1fD8P8uSi3W0NfY/0pqa0Jt+7D8QzQrAtjXnP5enZoi3bOE/fCrY/RPx2z+xKiuW9S3eP7TItxRR3cw/l/XEn0vZyD966RoHSW3IP/uAJJR6n88/zI2WJJ/L2T9UI2vXL9fgP5maNP58POM/bVk9sPux4j8dy5pRHXDiP6OFv3i1AuI/IFIgbWic5D+jW77TCMvfP8KCd9BqbLY/pXjQujRft7/7nJRl/ZfGv3Peikbv5bq/pvDQbUe4vb8mVp7XC8PDvxFDrU/YzMa/eTv6XtaCx7+NgA7bJ3XHP4YfD8TXTdE/leHTNUkp5z+lkN829HzxP+oQdZJylvo/Gq7hH8PvAEAxjZHdensBQI9bfuiNAAFA1qBpsPY4/z/muHOmrjH9P78G3mG8VPo/sZK1crK8+j8c6DztHtz8P5aPYbZ0Yf0/qmjrJM7J/D9A3MVcyhr8P4qVOZIOyvg/9ixm2O6u8D9fWB3ZqzjtP8Xygk/qlO4/7AgUtaNe8T/N0zXCRZzyPxZtktMwBPQ/wCz2IWjp8j+zEl7OCmLzP1qdMpWEH/I/f3J14I4F8z8S15ZupHryP2rQG64vePE/WCQ4j+g77j/aVTzWrjHrP5Iexd7Hl+0/RdfBEATP6j9jgH/Tm6nmP1ZTf0rec+E/Z1JwpysV5D81lPNxatHrPwNv/0Thx/E/rcdfOHy79T92kD4kIUL8P7TK0qAR1wNAN+anDnxBCECyOR/cXeQHQN49wg4JFAhAtORuIPwUBUCnCHDGVlADQPi1/kNNUABAN28yeLvx/j+re/atvfUAQBH5hDd05ARAJtUnnsHsBkCY2tgxqfwNQGJeTT/tGhRA1/1yLIJ2FUCIdV5bQ3kVQNiar3kODxVAfhqF8g5XFEBUc3Vp8LkTQMJU53jQwhNAOkFBvuSZE0DKk7zm4ZgTQIulYVQWbBNAITVwQmIlE0CVEi8BClARQFdaKEgmEwlA\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"2a699dab-469a-41c7-a231-a104a8523d4b\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"below\":[{\"id\":\"2ef6e803-29a7-44b7-aede-75c138e0e52f\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"40e887a7-7168-40bb-91bd-529e0a883daa\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"2ef6e803-29a7-44b7-aede-75c138e0e52f\",\"type\":\"LinearAxis\"},{\"id\":\"c82f7a71-4cfc-46c4-937a-a216c8974096\",\"type\":\"Grid\"},{\"id\":\"40e887a7-7168-40bb-91bd-529e0a883daa\",\"type\":\"LinearAxis\"},{\"id\":\"a132faef-78c4-46bf-83f4-1ed47d471153\",\"type\":\"Grid\"},{\"id\":\"e128286b-7980-4bce-9153-5cfc27d3f2c0\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"9c8a00d2-e7fb-4d9b-a420-d71a8d85a3a3\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"504f048f-1925-4232-a7c2-05cf70520dd6\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"5eb3ef85-32b3-402e-a0bf-9cf3f7d8edca\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"3c6f1511-3cff-40b7-a2c0-ad91a1f46853\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"a2215082-4fb8-4735-ac8d-d9d4bf4b60ad\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"81aeaa4c-21b6-486c-be84-17cd93cee62e\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"644142b4-31a1-47f3-859b-94535a4456c3\",\"type\":\"LinearScale\"}},\"id\":\"26d3cb04-357a-4472-885b-931c9571b134\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis_label\":\"percent Solar\",\"formatter\":{\"id\":\"0284f768-c9f8-4046-8f2b-1b34654ea8e2\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"10a4247a-d30d-4558-8f66-db31aa762502\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"ef3f1777-514e-4187-ba62-8e9d076d1a9c\",\"type\":\"BasicTicker\"}},\"id\":\"30e71dca-25c8-4bb1-a401-62455fd9ac2b\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"26d3cb04-357a-4472-885b-931c9571b134\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"146a95f4-cafd-450f-bb67-d49672ac8fbe\",\"type\":\"BasicTicker\"}},\"id\":\"c82f7a71-4cfc-46c4-937a-a216c8974096\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"aabc3cab-40ce-4ca6-933a-3e9d50a3f761\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5254a069-7e2e-48cc-a4d1-bc2f8e8b82dd\",\"type\":\"BasicTicker\"}},\"id\":\"dc87884a-82fe-4e45-ad4c-5d6391f79032\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"81aeaa4c-21b6-486c-be84-17cd93cee62e\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"5254a069-7e2e-48cc-a4d1-bc2f8e8b82dd\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"e16f352b-4362-452f-8cab-60275f5dd9be\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"end\":0.08},\"id\":\"d2ff5b1c-f00d-4b4e-900b-a7e88b3d509c\",\"type\":\"Range1d\"},{\"attributes\":{\"below\":[{\"id\":\"7a1e28ce-aaa1-4cf5-a3a7-ab2a4c270ba5\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"8bce597e-29b5-4883-8ac4-acc1e66c5ebb\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"7a1e28ce-aaa1-4cf5-a3a7-ab2a4c270ba5\",\"type\":\"LinearAxis\"},{\"id\":\"7bee8b8d-7528-4ec9-91c3-dc01f445986e\",\"type\":\"Grid\"},{\"id\":\"8bce597e-29b5-4883-8ac4-acc1e66c5ebb\",\"type\":\"LinearAxis\"},{\"id\":\"704ebb51-df36-471b-860b-a09b7ba436ca\",\"type\":\"Grid\"},{\"id\":\"afbec4c4-4567-4007-ba2d-cce24aae7dc6\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"8ab015c3-63e8-46ed-889b-c4ad46f90b7b\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"ab645044-b93e-4074-9059-739b57a64db1\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"5729f8ed-eb8e-45cc-baa9-c294ff33d561\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"9964bc10-071e-4f50-8211-85a1875cf475\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"6ad36f6a-155f-4ba3-a0e8-579028bbaf5c\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"21c0a839-8388-4815-a2a7-a9eb44c1e90d\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"78f6fcb4-92f7-45ff-87fd-ef88df2611ba\",\"type\":\"LinearScale\"}},\"id\":\"3a9953fb-241c-4de9-be1a-9028368f91c2\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis_label\":\"percent Solar\",\"formatter\":{\"id\":\"2a39a680-a1da-40f7-b3ac-5d42be07734c\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"3a9953fb-241c-4de9-be1a-9028368f91c2\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"50fcdc0a-985a-4394-ae27-0a445a6e99d0\",\"type\":\"BasicTicker\"}},\"id\":\"7a1e28ce-aaa1-4cf5-a3a7-ab2a4c270ba5\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"4f5aa107-180a-4ee0-b76d-578566a627b2\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"e2212609-1704-4f8e-a272-74719321a883\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"4d33cf53-e86f-4259-8c06-1c55e395b48b\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"37f23c9c-4526-4184-a43f-bba6ccde87b2\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"bbd28a0f-73f6-4d01-8fa0-62c26f329eb4\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"21e81b7e-3667-4534-bf2f-462ce8f88f78\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"end\":0.08},\"id\":\"656d69e0-9891-48be-9753-6f6637a2b82c\",\"type\":\"Range1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"03c26039-525c-4716-8089-2f57c4761cab\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":null,\"text\":\"SPP 0.0% to 0.0% Solar\"},\"id\":\"52b94ad8-db8f-4db4-a497-9e3fa3961a9d\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"3b46bc75-0eb9-48c5-9b55-cf33bb6aebb6\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"f9296e6f-d85e-49a4-ae01-5a734bf265a1\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"ab645044-b93e-4074-9059-739b57a64db1\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"ef3f1777-514e-4187-ba62-8e9d076d1a9c\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":{\"id\":\"3a9953fb-241c-4de9-be1a-9028368f91c2\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"50fcdc0a-985a-4394-ae27-0a445a6e99d0\",\"type\":\"BasicTicker\"}},\"id\":\"7bee8b8d-7528-4ec9-91c3-dc01f445986e\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"a6bf0cba-5129-441b-9997-7e0e38c7cc29\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"af931faf-9c57-4f88-8aa9-b38116334cb1\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"830e2883-6584-497e-9d0a-05cfa60ada0d\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"f2b202db-4864-4010-95da-b789e8cb31d7\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"cde4bd5d-97a6-4807-8c2c-5dcc5fae892e\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"aabc3cab-40ce-4ca6-933a-3e9d50a3f761\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5254a069-7e2e-48cc-a4d1-bc2f8e8b82dd\",\"type\":\"BasicTicker\"}},\"id\":\"cbed78d4-9db3-4427-ba42-253a52341ab2\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"803e31c2-0783-48b8-af27-652087d88860\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"5c20e6bb-e3bc-4ece-bec6-e98785753dfd\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"9bb3908d-5f73-4494-b783-b76309728923\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"40681264-2ed0-4f9b-8797-ff8ce75851df\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"cf8f1cdc-b8c0-4018-87ee-98a4ad6ddb10\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"below\":[{\"id\":\"a39c2870-ec1b-466c-95ee-beb57ff0635a\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"7e8accb0-26bd-4111-8a9d-cc21da5b849e\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"a39c2870-ec1b-466c-95ee-beb57ff0635a\",\"type\":\"LinearAxis\"},{\"id\":\"530d2bdf-ec61-49dd-8ad6-3b7d6d01e4ef\",\"type\":\"Grid\"},{\"id\":\"7e8accb0-26bd-4111-8a9d-cc21da5b849e\",\"type\":\"LinearAxis\"},{\"id\":\"f7657927-6d54-4c08-9a40-5616bebb474f\",\"type\":\"Grid\"},{\"id\":\"bbd28a0f-73f6-4d01-8fa0-62c26f329eb4\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"52b94ad8-db8f-4db4-a497-9e3fa3961a9d\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"7aafb9a9-8038-4c47-9f45-3e931c8b3099\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"f6beddea-c4d1-4bc0-822e-4f46390c658c\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"8da00d41-e1db-4e38-96e3-b78ec4fe2bcc\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"512aa31b-e0ae-4e0e-b010-7a179694e22a\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"30402362-f768-4cb7-8456-0e102e30face\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"4a9b55cd-f130-4bb2-8b77-bdb8787c08ad\",\"type\":\"LinearScale\"}},\"id\":\"4df85cde-d673-4621-a2c5-7729ba60fcbd\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":{\"id\":\"10a4247a-d30d-4558-8f66-db31aa762502\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"ef3f1777-514e-4187-ba62-8e9d076d1a9c\",\"type\":\"BasicTicker\"}},\"id\":\"07226e08-8b7a-4159-8c10-f02cabf2ef99\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"3a9953fb-241c-4de9-be1a-9028368f91c2\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2cf96acf-a11c-4216-a6c4-23b4bf8455d5\",\"type\":\"BasicTicker\"}},\"id\":\"704ebb51-df36-471b-860b-a09b7ba436ca\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"7b33f135-150d-4cce-9039-3e57017095e8\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"073ac801-b556-4796-9982-78366da5e8fe\",\"type\":\"ToolEvents\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"5d426f20-5ed1-4f06-ac47-37f64bf1b8e0\",\"type\":\"HoverTool\"}]},\"id\":\"2f94a81e-c0fe-4635-8cc4-51bf794a760a\",\"type\":\"Toolbar\"},{\"attributes\":{\"plot\":{\"id\":\"aabc3cab-40ce-4ca6-933a-3e9d50a3f761\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"317d7b2a-c0ea-40ed-bf3c-4d3d6929d1c3\",\"type\":\"BasicTicker\"}},\"id\":\"91c453a1-2fd2-4ee1-9dc8-c0d2d08b8660\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"11b580b8-39f8-4788-8aeb-93e746f08717\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"ef8bfea7-4812-4fe3-8fec-dcfe92c17a91\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"7b7b2daf-3c51-4b04-b73f-76f996223271\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"f2740503-1225-4f94-8ec2-a23de3e58b35\",\"type\":\"Range1d\"},{\"attributes\":{\"axis_label\":\"percent Solar\",\"formatter\":{\"id\":\"f2b202db-4864-4010-95da-b789e8cb31d7\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"26d3cb04-357a-4472-885b-931c9571b134\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"146a95f4-cafd-450f-bb67-d49672ac8fbe\",\"type\":\"BasicTicker\"}},\"id\":\"2ef6e803-29a7-44b7-aede-75c138e0e52f\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"642bd4fa-4792-4743-9b9c-7489e671cd90\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":null,\"text\":\"FRCC 0.0% to 0.3% Solar\"},\"id\":\"8ab015c3-63e8-46ed-889b-c4ad46f90b7b\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"78f6fcb4-92f7-45ff-87fd-ef88df2611ba\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"cb1ab6fd-28f8-4b0d-b3e8-4d83d38e35ca\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"7b33f135-150d-4cce-9039-3e57017095e8\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"767cc760-c71e-407f-893b-da5ada96f56c\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"afbec4c4-4567-4007-ba2d-cce24aae7dc6\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAArQZ7lDCRKj8EqsuwL50qP4XAjMUfaSM/iFAP36HMJz850kOBZ5woP+ClFK0C5jI/hjDi7MmgQT9yVuYGLZI8P8SqOxcTiDk/FqKevhQBNj/1FrHKqd81PxtZFJZRnjg/4M1LvoXVPD/+9P83QnI6P+KvIueBsTQ/tCvX538sQT+YqIh+p9NJP2R28VgWlFQ/EirvMrSURz+anwU1EBJHP5tG9BG4CDY/FsQsKczmOD+KfQF3Jto1P3ZNzm2o/0I/DR9DIisFOT/PRS/G5gZEP40XG06eijs/P2XtvOV8SD9vsxVAjLtCP+JvpDnyVlM/2lb6ubN5Vj+zcLbRevZQP6dz0UsZv00/p5vwNCtWUD+iHIMBmzpJP1ay/gDM/Uc/E4X0UlYWSz86W+O9NZhHP1hJn5FEUkM/6roGqIz1RT/7uUFXIjZQP4ieU8Zcw1M/SbTfXZ8LUD9LopswgS9VPwoRhNSHiFM/IHu5XELiUT/UAHpFgqVOP2lZ5iqdhUs/Erxvu/RFUD8lqdOYReM+P56KQ8qykEE/PTpl2SZDUD+tCe70behYP4Fo9Q9aAV4/hGfC7sD2Wz8dSL7A2p9eP7abmP0tClk/T7xYTc1cWD8yP0DvC59YP2T631G9kVg/mrAKoyO8YD8kw/D+F9tWP82feYbcf1c/8p/IIt5nUz/UR+2mveRPP0180Dq3NVw/DyB7SRh1XT+/MEH5RWdhP1zrGKp0d18/GHfYaGGDXz9BcWTh+2BeP0dLt+rbbVc/mdQ8JqKdWD92I8+coNVVP1qIzxT/FlI/tK2iq4j8Vj/t8RKw9vFgP4+iSY6HRGM/SEBder4/ZT+G/9LKYkhmPz/kXHwDEWI/GwzXxpIkYD+4aaUbGHpgP3LZGmj9P2A/fSd7gkahYD/sDslMvqZiP6L1IT7imX0/RIvJlrS+bz9tael1Os5xP5eVX6H9snQ/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"cb1ab6fd-28f8-4b0d-b3e8-4d83d38e35ca\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"71206b08-c104-42ca-9215-f5f85cf2a60b\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":{\"id\":\"7ffdc56d-c9fe-4ae2-b7f1-8395fa74b709\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"40681264-2ed0-4f9b-8797-ff8ce75851df\",\"type\":\"BasicTicker\"}},\"id\":\"a503ae7a-627a-4c82-b4e4-e25060ea3775\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"6ad36f6a-155f-4ba3-a0e8-579028bbaf5c\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"2a699dab-469a-41c7-a231-a104a8523d4b\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"e9341010-a2c6-4c9a-9e4b-42177d9d8a72\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"03c26039-525c-4716-8089-2f57c4761cab\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"e128286b-7980-4bce-9153-5cfc27d3f2c0\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"a2215082-4fb8-4735-ac8d-d9d4bf4b60ad\",\"type\":\"LinearScale\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"26d3cb04-357a-4472-885b-931c9571b134\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"12803595-e03f-44a7-ab9b-2e722a523def\",\"type\":\"BasicTicker\"}},\"id\":\"a132faef-78c4-46bf-83f4-1ed47d471153\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"cf8f1cdc-b8c0-4018-87ee-98a4ad6ddb10\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"7ffdc56d-c9fe-4ae2-b7f1-8395fa74b709\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"979d385d-24d3-4f45-9ef3-5e0657c53e8f\",\"type\":\"BasicTicker\"}},\"id\":\"78cc750d-f225-41cf-86e7-b45a7685ca42\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"00a06037-3ea2-4750-aac3-ad039382355d\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c4ff5e08-10ce-45df-9b3a-02d06dc98016\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"b92be9fa-32c2-4fc2-82fc-00b8df172766\",\"type\":\"BasicTicker\"}},\"id\":\"5bd5a192-7cd3-4349-9902-02003ca1d3b0\",\"type\":\"LinearAxis\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"6e18e31d-5322-4439-a72a-06504c9ad86f\",\"type\":\"HoverTool\"}]},\"id\":\"5729f8ed-eb8e-45cc-baa9-c294ff33d561\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"AACA5vR4bEIAAACL6YxsQgAAAM3vnmxCAACAceSybEIAAIBKNMZsQgAAAO8o2mxCAAAAyHjtbEIAAIBsbQFtQgAAABFiFW1CAAAA6rEobUIAAICOpjxtQgAAgGf2T21CAAAADOtjbUIAAICw33dtQgAAgPLliW1CAAAAl9qdbUIAAABwKrFtQgAAgBQfxW1CAACA7W7YbUIAAACSY+xtQgAAgDZYAG5CAACAD6gTbkIAAAC0nCduQgAAAI3sOm5CAACAMeFObkIAAADW1WJuQgAAABjcdG5CAACAvNCIbkIAAICVIJxuQgAAADoVsG5CAAAAE2XDbkIAAIC3WdduQgAAAFxO625CAAAANZ7+bkIAAIDZkhJvQgAAgLLiJW9CAAAAV9c5b0IAAID7y01vQgAAAAl3YG9CAACArWt0b0IAAICGu4dvQgAAACuwm29CAAAABACvb0IAAICo9MJvQgAAAE3p1m9CAAAAJjnqb0IAAIDKLf5vQgAAwNG+CHBCAAAAJLkScEIAAEB2sxxwQgAAQJe2JXBCAACA6bAvcEIAAADWWDlwQgAAQChTQ3BCAADAFPtMcEIAAABn9VZwQgAAQLnvYHBCAADApZdqcEIAAAD4kXRwQgAAgOQ5fnBCAADANjSIcEIAAACJLpJwQgAAAKoxm3BCAABA/CulcEIAAMDo065wQgAAADvOuHBCAACAJ3bCcEIAAMB5cMxwQgAAAMxq1nBCAACAuBLgcEIAAMAKDepwQgAAQPe083BCAACASa/9cEIAAMCbqQdxQgAAwLysEHFCAAAAD6cacUIAAID7TiRxQgAAwE1JLnFCAABAOvE3cUIAAICM60FxQgAAwN7lS3FCAABAy41VcUIAAIAdiF9xQgAAAAowaXFCAABAXCpzcUIAAICuJH1xQgAAQDV6hnFCAACAh3SQcUIAAAB0HJpxQgAAQMYWpHFCAADAsr6tcUIAAAAFubdxQgAAQFezwXFCAADAQ1vLcUIAAACWVdVxQgAAgIL93nFCAADA1PfocUIAAAAn8vJxQgAAAEj1+3FCAABAmu8FckIAAMCGlw9yQgAAANmRGXJCAACAxTkjckIAAMAXNC1yQgAAAGouN3JCAACAVtZAckIAAMCo0EpyQgAAQJV4VHJCAACA53JeckIAAMA5bWhyQgAAwFpwcXJCAAAArWp7ckIAAICZEoVyQgAAwOsMj3JCAABA2LSYckIAAIAqr6JyQgAAwHyprHJCAABAaVG2ckIAAIC7S8ByQgAAAKjzyXJCAABA+u3TckIAAIBM6N1yQgAAgG3r5nJCAADAv+XwckIAAECsjfpyQgAAgP6HBHNCAAAA6y8Oc0IAAEA9KhhzQgAAgI8kInNCAAAAfMwrc0IAAEDOxjVzQgAAwLpuP3NCAAAADWlJc0IAAEBfY1NzQgAAAOa4XHNCAABAOLNmc0IAAMAkW3BzQgAAAHdVenNCAACAY/2Dc0IAAMC1941zQgAAAAjyl3NCAACA9Jmhc0IAAMBGlKtzQgAAQDM8tXNCAACAhTa/c0IAAMDXMMlzQgAAwPgz0nNCAAAASy7cc0IAAIA31uVzQgAAwInQ73NCAABAdnj5c0IAAIDIcgN0QgAAwBptDXRCAABABxUXdEIAAIBZDyF0QgAAAEa3KnRCAABAmLE0dEIAAIDqqz50QgAAgAuvR3RCAADAXalRdEIAAEBKUVt0QgAAgJxLZXRCAAAAifNudEIAAEDb7Xh0QgAAgC3ognRCAAAAGpCMdEIAAEBsipZ0QgAAwFgyoHRCAAAAqyyqdEIAAED9JrR0QgAAQB4qvXRCAACAcCTHdEIAAABdzNB0QgAAQK/G2nRCAADAm27kdEIAAADuaO50QgAAQEBj+HRCAADALAsCdUIAAAB/BQx1QgAAgGutFXVCAADAvacfdUIAAAAQoil1QgAAwJb3MnVCAAAA6fE8dUIAAIDVmUZ1QgAAwCeUUHVCAABAFDxadUIAAIBmNmR1QgAAwLgwbnVCAABApdh3dUIAAID30oF1QgAAAOR6i3VCAABANnWVdUIAAICIb591QgAAgKlyqHVC\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAcIgu1/gVoz70iSkjjG63PiapWjwzHMk+ShDtDYOz0T41ow+hTT3SPklxo0ye+NM+Up3tBXH/zz48B6vY2k7QPgva4LV9zs8+2USQR0fkxT4YwqB9Ahq0PvuzVzJ8eKc+qXoybS+ppj4gCY6Ib7/VPsUJ2Eaf7us+z6mioab58z5HNcXhPuP4PhuQeEKgAvU+laeeTU1B9z63V1cJDq74Pq0yVUK6Kfw+w2u0pWfG9D66jVd57aDoPln+odLMZdM+4I969ViLwz4w4zMFY9XiPm/usScGKvk+EukdJlRtDT8+L92MsnYSP5m9YW3WZRI/iPVdtIzbDj/uaAGqXwcQP+EwIkon4RA/FAUrVS3RBT+xnBCuR9MDP/q9S5dOw/M+4QJNsJhM9j7+/Sfw5GIPPwnyakKZAhk/9XF0NBv7Ij835r8N/FAlP/G6elswxiY/nT84T73zIT/rJf1JIkQkP/p4Iy7AnyQ/GC9GlNf/Iz8jfuk6p8UgP0kYRd3quh4/pLzd6csmMT+c8ZpMG5c2PytRZEoCMT8/8QZxlVVGRT/aFup6g4dAPyIJ8/Pv40E/jogqGRNGPz+9A1PtKB9AP4iHe+gevUE/gGrA/Br+PT+On9DbRJY8P2/LSISmGDM/Png3X3/EOD+AwOY7DVs+PxrKV7DN9kU/qkeItgNsUD8JgOuvTspOPzhlQBGA4Uw/1hiDjqT0Rz9A+UwsTQVHPwrw8nhheU4/SKpz98ElTj/MTKjsWLdJP8ZmUcYPYEI/TKKAEw0iXD+DNWjbZxNjP7LN57YFbmk/daxJM33wcD8UW81YH35xP2iHekXZ5W8/MvPBPQZkbz/TO/jJMCduPyiNmmX/Fm4/7ayBtLlGaz8H6T/7xaJkP7CmA5ZZAGE/fawCd7nxYD/LhPvSIylkP+sVZyj0MW0/okVth5SYdD/x2YhFW4x0P8cz6rDRt3E/+T4spf0pcT8H12LzPWxxP1KJviFdiHA/diIpkbu1cD+swyaGHOlpPyMlJRsd7WQ/Jkint+QCZT/suBK5p2VxP2GIAzi5znc/rCkLMX4/ej8jp1K4xKd7Px6XPPyF3Hg/ejOuf0h7eD+q8+2MLNR1P4Yuju1Z03c/+LXzgUm/dz9TbHtvLOFzP+qzWwJ+KWk/JUqYRhXObD8hySfXAyd2PxhqaiwxeXw/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"2a9f2e5c-496c-4dbb-b10f-85a98fa5ec17\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"10427867-dc59-47a0-b98e-59c3acbc5b44\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"71206b08-c104-42ca-9215-f5f85cf2a60b\",\"type\":\"BasicTicker\"}},\"id\":\"81c8cbcb-b5be-4f4b-a1e9-8f9e65f3bb29\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"2cf96acf-a11c-4216-a6c4-23b4bf8455d5\",\"type\":\"BasicTicker\"},{\"attributes\":{\"below\":[{\"id\":\"9e99ae24-18b6-49a0-a875-9433e0132c59\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"1b4c58df-49f1-4649-89fb-b6afaef08bb1\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"9e99ae24-18b6-49a0-a875-9433e0132c59\",\"type\":\"LinearAxis\"},{\"id\":\"5e06347b-3479-4b90-83d3-16a4aa8fe5b7\",\"type\":\"Grid\"},{\"id\":\"1b4c58df-49f1-4649-89fb-b6afaef08bb1\",\"type\":\"LinearAxis\"},{\"id\":\"81c8cbcb-b5be-4f4b-a1e9-8f9e65f3bb29\",\"type\":\"Grid\"},{\"id\":\"66d76c70-9728-444c-a452-27e6eeeb61cd\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"b716c25d-c475-4054-a3b6-76d4f39492b9\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"073ac801-b556-4796-9982-78366da5e8fe\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"01463345-56ce-4e0b-8e12-53fb4d0ca542\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"d2ff1c01-bdbb-4cd1-bdfc-621c3bf20c67\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"1c351f82-e644-41a9-bd1e-7b499b860bd4\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"830e2883-6584-497e-9d0a-05cfa60ada0d\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"f9296e6f-d85e-49a4-ae01-5a734bf265a1\",\"type\":\"LinearScale\"}},\"id\":\"10427867-dc59-47a0-b98e-59c3acbc5b44\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"sizing_mode\":\"scale_width\",\"toolbar_location\":\"above\",\"tools\":[{\"id\":\"098b9b81-256e-4085-9ea5-45d06cb38e81\",\"type\":\"HoverTool\"},{\"id\":\"83778de5-57aa-488b-9d90-7f74580f6760\",\"type\":\"HoverTool\"},{\"id\":\"73feaa58-e35f-4f3d-ba9f-89bff8798c3f\",\"type\":\"HoverTool\"},{\"id\":\"6e18e31d-5322-4439-a72a-06504c9ad86f\",\"type\":\"HoverTool\"},{\"id\":\"a821a594-1bd0-4702-8a5c-2bad082698cc\",\"type\":\"HoverTool\"},{\"id\":\"d19d4074-4efe-4f62-8b39-96a09b36a4b9\",\"type\":\"HoverTool\"},{\"id\":\"5d426f20-5ed1-4f06-ac47-37f64bf1b8e0\",\"type\":\"HoverTool\"},{\"id\":\"3659a758-b8ed-445b-8981-37bbb7bbb100\",\"type\":\"HoverTool\"}]},\"id\":\"a6577553-1561-48e7-bd28-e1902ee1a99f\",\"type\":\"ToolbarBox\"},{\"attributes\":{\"below\":[{\"id\":\"f467b72b-46f2-43ea-ab44-7493e81be16e\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"78cc750d-f225-41cf-86e7-b45a7685ca42\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"f467b72b-46f2-43ea-ab44-7493e81be16e\",\"type\":\"LinearAxis\"},{\"id\":\"a503ae7a-627a-4c82-b4e4-e25060ea3775\",\"type\":\"Grid\"},{\"id\":\"78cc750d-f225-41cf-86e7-b45a7685ca42\",\"type\":\"LinearAxis\"},{\"id\":\"69c57a67-703c-4e32-b70f-9f916d0f3bb1\",\"type\":\"Grid\"},{\"id\":\"a38e2837-858e-4e68-ad4d-625e68e4b02c\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"f4351dae-de02-4ca6-9fb3-885c18b3b746\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"a5d9ae8a-d5b5-42b3-a0d1-58298a2be3b2\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"2036b589-2847-47a4-90bf-9decf4a6507d\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"53d37632-d371-4b2b-ae77-f348d16c0185\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"f42c83e8-2fe7-45cc-918d-251ca6764a5e\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"f2740503-1225-4f94-8ec2-a23de3e58b35\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"e16f352b-4362-452f-8cab-60275f5dd9be\",\"type\":\"LinearScale\"}},\"id\":\"7ffdc56d-c9fe-4ae2-b7f1-8395fa74b709\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAqq6HVEircT6fuMaAJ4mFPjY19TfcVJU+xDJ+V6BPnz5u+8nTwoqePpqR7ywNJKE+MxykAn4omj5GRF08uHWbPnZUOr3C7Jk+3zHfnCkdkT7+QEAjqjmAPtYvWmcqkXA+Liv2JtvHSD6IQG+9QENzPknN8ShtTIc+dekl045QkD75we5PBPqRPpXHeFfq75A++Q4gse5MkT5EAvs/qs6NPmXCQ0KJrY0+G+cisq2Khj6rEtUIGft5PgP7dzbzBmY+8VetSbE2ez4NFPuYdfGZPrrKWAZR660+8h4nvScsuD4cGX3tI4G9Phj2UVXn19w+hlhayzeN1j7o8/GnggPXPnOrkE2MPNY+4RaEXvJJyT4HxUCvN63HPlpLQUVTZtg+D5cC3BXL0T4BWgM8Xw3pPgZW+aWGt/A+o39IGxRq+T4vWXcttMsFP5W+XEUIgwY/4Pk+IbCr/z6bjuED/igCPzvizkeNVP4+RTf2bGUy+z6xM+nFoCMoP3fvjxPTfyU/YgswJpa7Jj+Qkediso0tP1sFixtmsDM/QWmZPGU3PD/q6diThOY4P7uvEZODmjw/g7nB9l8OOD+/QOYoN283Pysoe+qkRzo/S/SreWDLNj/0IMliTdMzPzPsaRdGOys/xJVnbwKlND/fYkdtOgg+P03I/Qha90U/gIOLFOSGTD9vkXqHcFxLP0aXAvcaB0w/LfnLmY58RT8zthhjKlJLP8tjCBR/ilA/ls/QIt6eUT+4cqIORdJLPyP976sUjEs/SWfrDYwKaT/zAAsZHOpwP5LsEHX10XY/SHzhp0USfj8muMi2LkWAP6yXNcQvbn4/3DKnOA6pfD9MyPIe8omAP4iNeYhJ4oA/ArTN3+wVfj9CV/jRsHB3P2TdA3D1UHU/HvqVIsGjdT9k7vjZYvh5P/S+0J6Z/oI/mWIkJAuCiD8ETAJ3K3WIP1i4OnjcZYc/OQctsUYUhj8cM+aiQwGGP2nTrSNicYY/52Zq+HZvhD8I9Mtusq2AP0wCat4AU34/acEL/kAXgD+S7R7EgD+IP7nJbAw6348/dGTmRmMykj+G+TpPRTmSP9xqP+tT3pI/NX69KEEbkT9vUl15m4OPP4DJEzAsoJE/jGfLZyVejz/GuxdpqsOIP0m6Ukk6hIM/RQeQPVd7hT+g5rncgZ6OPzLcfWGFpJM/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"37e72a9e-90e1-4912-b558-d61e04255a56\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"plot\":null,\"text\":\"SERC 0.0% to 0.5% Solar\"},\"id\":\"f4351dae-de02-4ca6-9fb3-885c18b3b746\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"b92be9fa-32c2-4fc2-82fc-00b8df172766\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"644142b4-31a1-47f3-859b-94535a4456c3\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"979d385d-24d3-4f45-9ef3-5e0657c53e8f\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"end\":0.08},\"id\":\"9964bc10-071e-4f50-8211-85a1875cf475\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"2a39a680-a1da-40f7-b3ac-5d42be07734c\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":null,\"text\":\"MRO 0.0% to 0.1% Solar\"},\"id\":\"d5bca02f-1c85-4186-8a4e-21a040bd0b44\",\"type\":\"Title\"},{\"attributes\":{\"data_source\":{\"id\":\"2a9f2e5c-496c-4dbb-b10f-85a98fa5ec17\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"9930e78b-fd4b-47f6-b912-8855bf554058\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"af931faf-9c57-4f88-8aa9-b38116334cb1\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"612d81a4-c319-4ea7-8dc7-1379e6cee37d\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"plot\":null,\"text\":\"ERCOT 0.0% to 0.2% Solar\"},\"id\":\"9c8a00d2-e7fb-4d9b-a420-d71a8d85a3a3\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"15b812e4-7b5d-4887-bbe6-ef01bb3c708e\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"end\":0.08},\"id\":\"8da00d41-e1db-4e38-96e3-b78ec4fe2bcc\",\"type\":\"Range1d\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"8c6217ca-339a-45d4-a66b-bda1a2ba446a\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"4df85cde-d673-4621-a2c5-7729ba60fcbd\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5c20e6bb-e3bc-4ece-bec6-e98785753dfd\",\"type\":\"BasicTicker\"}},\"id\":\"7e8accb0-26bd-4111-8a9d-cc21da5b849e\",\"type\":\"LinearAxis\"},{\"attributes\":{\"below\":[{\"id\":\"30e71dca-25c8-4bb1-a401-62455fd9ac2b\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"dbaf6171-c5ce-4ebc-b4f7-dd55db8248cd\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"30e71dca-25c8-4bb1-a401-62455fd9ac2b\",\"type\":\"LinearAxis\"},{\"id\":\"07226e08-8b7a-4159-8c10-f02cabf2ef99\",\"type\":\"Grid\"},{\"id\":\"dbaf6171-c5ce-4ebc-b4f7-dd55db8248cd\",\"type\":\"LinearAxis\"},{\"id\":\"ea77d161-fc52-4ecd-93b3-6e24506c70dd\",\"type\":\"Grid\"},{\"id\":\"612d81a4-c319-4ea7-8dc7-1379e6cee37d\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"cbb1b17b-1f4c-4068-a534-126101494dda\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"11b580b8-39f8-4788-8aeb-93e746f08717\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"bbd0b8c6-a8f6-4b3e-9269-26a771f77e08\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"656d69e0-9891-48be-9753-6f6637a2b82c\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"c7cb42f9-a1af-4ef6-a2d7-8352e6b7ab6d\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"7b7b2daf-3c51-4b04-b73f-76f996223271\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"30f59250-7489-4264-8a03-ee5e3e261134\",\"type\":\"LinearScale\"}},\"id\":\"10a4247a-d30d-4558-8f66-db31aa762502\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"00a06037-3ea2-4750-aac3-ad039382355d\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"18a239a7-8f2a-42de-882b-e8f3f8706b50\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e9341010-a2c6-4c9a-9e4b-42177d9d8a72\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"9d458481-dd02-476d-8721-ec0783ced384\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"10427867-dc59-47a0-b98e-59c3acbc5b44\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"71206b08-c104-42ca-9215-f5f85cf2a60b\",\"type\":\"BasicTicker\"}},\"id\":\"1b4c58df-49f1-4649-89fb-b6afaef08bb1\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"c4ff5e08-10ce-45df-9b3a-02d06dc98016\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7ee7bde1-56d1-4f77-9c25-a94d5e34f8e9\",\"type\":\"BasicTicker\"}},\"id\":\"7a37f9fe-891a-475e-9a34-461e95b72aff\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"55712b31-e405-42d4-9530-ea986057be7b\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"0284f768-c9f8-4046-8f2b-1b34654ea8e2\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"73feaa58-e35f-4f3d-ba9f-89bff8798c3f\",\"type\":\"HoverTool\"}]},\"id\":\"01463345-56ce-4e0b-8e12-53fb4d0ca542\",\"type\":\"Toolbar\"},{\"attributes\":{\"axis_label\":\"percent Solar\",\"formatter\":{\"id\":\"a6bf0cba-5129-441b-9997-7e0e38c7cc29\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"7ffdc56d-c9fe-4ae2-b7f1-8395fa74b709\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"40681264-2ed0-4f9b-8797-ff8ce75851df\",\"type\":\"BasicTicker\"}},\"id\":\"f467b72b-46f2-43ea-ab44-7493e81be16e\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"ac0632a9-8cf5-4e97-acdd-805b94d55a6c\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"below\":[{\"id\":\"77805f79-600e-4baa-9656-2b0636f9df41\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"5bd5a192-7cd3-4349-9902-02003ca1d3b0\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"77805f79-600e-4baa-9656-2b0636f9df41\",\"type\":\"LinearAxis\"},{\"id\":\"7a37f9fe-891a-475e-9a34-461e95b72aff\",\"type\":\"Grid\"},{\"id\":\"5bd5a192-7cd3-4349-9902-02003ca1d3b0\",\"type\":\"LinearAxis\"},{\"id\":\"fe5e3707-57b9-438d-a6b6-6e996a31f945\",\"type\":\"Grid\"},{\"id\":\"7d6cd752-e8bf-4849-9ea6-4457400efa0f\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"44468372-7340-468d-b9f6-47376fb80537\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"c08eebd7-697f-4285-aa60-81e032fe1b51\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"6276d9a5-9f7f-4192-8134-1fe825fd2e68\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"6058a97a-d08c-4b67-b2b2-2bda994e3f66\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"71a06e6d-6f85-4077-8368-cc2e139edd4e\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"ba77651c-37b5-4788-bcfd-9d43a3c6c9d5\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"55712b31-e405-42d4-9530-ea986057be7b\",\"type\":\"LinearScale\"}},\"id\":\"c4ff5e08-10ce-45df-9b3a-02d06dc98016\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"7ffdc56d-c9fe-4ae2-b7f1-8395fa74b709\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"979d385d-24d3-4f45-9ef3-5e0657c53e8f\",\"type\":\"BasicTicker\"}},\"id\":\"69c57a67-703c-4e32-b70f-9f916d0f3bb1\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":{\"id\":\"4df85cde-d673-4621-a2c5-7729ba60fcbd\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"724d28da-e38d-4d07-aff3-04cb9b1acecb\",\"type\":\"BasicTicker\"}},\"id\":\"530d2bdf-ec61-49dd-8ad6-3b7d6d01e4ef\",\"type\":\"Grid\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"83778de5-57aa-488b-9d90-7f74580f6760\",\"type\":\"HoverTool\"}]},\"id\":\"5eb3ef85-32b3-402e-a0bf-9cf3f7d8edca\",\"type\":\"Toolbar\"},{\"attributes\":{\"axis_label\":\"percent Solar\",\"formatter\":{\"id\":\"9bf72bc7-22a4-4b16-8ed3-1983c77607fc\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"4df85cde-d673-4621-a2c5-7729ba60fcbd\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"724d28da-e38d-4d07-aff3-04cb9b1acecb\",\"type\":\"BasicTicker\"}},\"id\":\"a39c2870-ec1b-466c-95ee-beb57ff0635a\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"512aa31b-e0ae-4e0e-b010-7a179694e22a\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"37e72a9e-90e1-4912-b558-d61e04255a56\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"e0422e58-8256-447f-8563-a40953f8ea54\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"642bd4fa-4792-4743-9b9c-7489e671cd90\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"7d6cd752-e8bf-4849-9ea6-4457400efa0f\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"AACA5vR4bEIAAACL6YxsQgAAAM3vnmxCAACAceSybEIAAIBKNMZsQgAAAO8o2mxCAAAAyHjtbEIAAIBsbQFtQgAAABFiFW1CAAAA6rEobUIAAICOpjxtQgAAgGf2T21CAAAADOtjbUIAAICw33dtQgAAgPLliW1CAAAAl9qdbUIAAABwKrFtQgAAgBQfxW1CAACA7W7YbUIAAACSY+xtQgAAgDZYAG5CAACAD6gTbkIAAAC0nCduQgAAAI3sOm5CAACAMeFObkIAAADW1WJuQgAAABjcdG5CAACAvNCIbkIAAICVIJxuQgAAADoVsG5CAAAAE2XDbkIAAIC3WdduQgAAAFxO625CAAAANZ7+bkIAAIDZkhJvQgAAgLLiJW9CAAAAV9c5b0IAAID7y01vQgAAAAl3YG9CAACArWt0b0IAAICGu4dvQgAAACuwm29CAAAABACvb0IAAICo9MJvQgAAAE3p1m9CAAAAJjnqb0IAAIDKLf5vQgAAwNG+CHBCAAAAJLkScEIAAEB2sxxwQgAAQJe2JXBCAACA6bAvcEIAAADWWDlwQgAAQChTQ3BCAADAFPtMcEIAAABn9VZwQgAAQLnvYHBCAADApZdqcEIAAAD4kXRwQgAAgOQ5fnBCAADANjSIcEIAAACJLpJwQgAAAKoxm3BCAABA/CulcEIAAMDo065wQgAAADvOuHBCAACAJ3bCcEIAAMB5cMxwQgAAAMxq1nBCAACAuBLgcEIAAMAKDepwQgAAQPe083BCAACASa/9cEIAAMCbqQdxQgAAwLysEHFCAAAAD6cacUIAAID7TiRxQgAAwE1JLnFCAABAOvE3cUIAAICM60FxQgAAwN7lS3FCAABAy41VcUIAAIAdiF9xQgAAAAowaXFCAABAXCpzcUIAAICuJH1xQgAAQDV6hnFCAACAh3SQcUIAAAB0HJpxQgAAQMYWpHFCAADAsr6tcUIAAAAFubdxQgAAQFezwXFCAADAQ1vLcUIAAACWVdVxQgAAgIL93nFCAADA1PfocUIAAAAn8vJxQgAAAEj1+3FCAABAmu8FckIAAMCGlw9yQgAAANmRGXJCAACAxTkjckIAAMAXNC1yQgAAAGouN3JCAACAVtZAckIAAMCo0EpyQgAAQJV4VHJCAACA53JeckIAAMA5bWhyQgAAwFpwcXJCAAAArWp7ckIAAICZEoVyQgAAwOsMj3JCAABA2LSYckIAAIAqr6JyQgAAwHyprHJCAABAaVG2ckIAAIC7S8ByQgAAAKjzyXJCAABA+u3TckIAAIBM6N1yQgAAgG3r5nJCAADAv+XwckIAAECsjfpyQgAAgP6HBHNCAAAA6y8Oc0IAAEA9KhhzQgAAgI8kInNCAAAAfMwrc0IAAEDOxjVzQgAAwLpuP3NCAAAADWlJc0IAAEBfY1NzQgAAAOa4XHNCAABAOLNmc0IAAMAkW3BzQgAAAHdVenNCAACAY/2Dc0IAAMC1941zQgAAAAjyl3NCAACA9Jmhc0IAAMBGlKtzQgAAQDM8tXNCAACAhTa/c0IAAMDXMMlzQgAAwPgz0nNCAAAASy7cc0IAAIA31uVzQgAAwInQ73NCAABAdnj5c0IAAIDIcgN0QgAAwBptDXRCAABABxUXdEIAAIBZDyF0QgAAAEa3KnRCAABAmLE0dEIAAIDqqz50QgAAgAuvR3RCAADAXalRdEIAAEBKUVt0QgAAgJxLZXRCAAAAifNudEIAAEDb7Xh0QgAAgC3ognRCAAAAGpCMdEIAAEBsipZ0QgAAwFgyoHRCAAAAqyyqdEIAAED9JrR0QgAAQB4qvXRCAACAcCTHdEIAAABdzNB0QgAAQK/G2nRCAADAm27kdEIAAADuaO50QgAAQEBj+HRCAADALAsCdUIAAAB/BQx1QgAAgGutFXVCAADAvacfdUIAAAAQoil1QgAAwJb3MnVCAAAA6fE8dUIAAIDVmUZ1QgAAwCeUUHVCAABAFDxadUIAAIBmNmR1QgAAwLgwbnVCAABApdh3dUIAAID30oF1QgAAAOR6i3VCAABANnWVdUIAAICIb591QgAAgKlyqHVC\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAty1N98zx+D7Slq1mr3/+PjZvclkHBAU/pjT7hgJoCD/uOM0RE3AJP2Ti8c4Qywc/ZazSEu/YCT8MVKMuaSIIP7pznVlEzww/BizgjpUODD8biLENFPgHP7Tci+1q0AY/3rkr0oC2Bj/E+H2C43kPPxLrZOeBjBY/PwYVKLn7GT8UbYdPxF8ZP9NRaRba5RU/SbjSRP+PFD9dzt+SO9gaP7k5yhqXDSE/4wbK5h3/Hz9l5Vg6AzkbPxkmjvkqHhc/rMsCsUOkHT/v7yRD1mEkPx+VtpDgSCg/zlyk96zGKz+anECblOoqP1Y6qbRW1SY/CEntxB25JT8qy180hIolP33Ld0Jwcic/eZLCa13yJT8A/+P5ZvkjP6RkEbulUh8/mNO1uL2FIj8H4pQBiGk1P2QIpxfXIzg/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"e2212609-1704-4f8e-a272-74719321a883\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"4df85cde-d673-4621-a2c5-7729ba60fcbd\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"d19d4074-4efe-4f62-8b39-96a09b36a4b9\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"end\":0.08},\"id\":\"3c6f1511-3cff-40b7-a2c0-ad91a1f46853\",\"type\":\"Range1d\"},{\"attributes\":{\"data_source\":{\"id\":\"ffb556e8-40b7-46d6-9c44-8c63e193edf7\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"6e1f4b83-8726-4fbe-b917-52f2f903dcea\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"c535d1b8-27b1-4552-b765-2c3fa318285c\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"7e504c67-dd43-4675-84e4-083cd07cb2a4\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"df357bd2-4f38-4f5f-a288-dea966651482\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"cde4bd5d-97a6-4807-8c2c-5dcc5fae892e\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"a821a594-1bd0-4702-8a5c-2bad082698cc\",\"type\":\"HoverTool\"}]},\"id\":\"bbd0b8c6-a8f6-4b3e-9269-26a771f77e08\",\"type\":\"Toolbar\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"53d6d902-a63d-421f-a9a0-091836674344\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"3a9953fb-241c-4de9-be1a-9028368f91c2\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"2cf96acf-a11c-4216-a6c4-23b4bf8455d5\",\"type\":\"BasicTicker\"}},\"id\":\"8bce597e-29b5-4883-8ac4-acc1e66c5ebb\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"9930e78b-fd4b-47f6-b912-8855bf554058\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"percent Solar\",\"formatter\":{\"id\":\"ef8bfea7-4812-4fe3-8fec-dcfe92c17a91\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"10427867-dc59-47a0-b98e-59c3acbc5b44\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"15b812e4-7b5d-4887-bbe6-ef01bb3c708e\",\"type\":\"BasicTicker\"}},\"id\":\"9e99ae24-18b6-49a0-a875-9433e0132c59\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"c08eebd7-697f-4285-aa60-81e032fe1b51\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"7aafb9a9-8038-4c47-9f45-3e931c8b3099\",\"type\":\"ToolEvents\"},{\"attributes\":{\"data_source\":{\"id\":\"6e7b8b82-0efb-426a-99bc-54d91c917276\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"dd28b8ee-03cd-4562-93d1-0e1aca4e7110\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"df357bd2-4f38-4f5f-a288-dea966651482\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"a38e2837-858e-4e68-ad4d-625e68e4b02c\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"6e1f4b83-8726-4fbe-b917-52f2f903dcea\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"7ffdc56d-c9fe-4ae2-b7f1-8395fa74b709\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"3659a758-b8ed-445b-8981-37bbb7bbb100\",\"type\":\"HoverTool\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"3659a758-b8ed-445b-8981-37bbb7bbb100\",\"type\":\"HoverTool\"}]},\"id\":\"2036b589-2847-47a4-90bf-9decf4a6507d\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"9bf72bc7-22a4-4b16-8ed3-1983c77607fc\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"10427867-dc59-47a0-b98e-59c3acbc5b44\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"73feaa58-e35f-4f3d-ba9f-89bff8798c3f\",\"type\":\"HoverTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"dd28b8ee-03cd-4562-93d1-0e1aca4e7110\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"1ece15e3-8d41-4be7-bb4a-d7c183bd0101\",\"type\":\"Range1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"648c4b7e-394f-41db-9820-8ae67a34c08d\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"10a4247a-d30d-4558-8f66-db31aa762502\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"a821a594-1bd0-4702-8a5c-2bad082698cc\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"4a9b55cd-f130-4bb2-8b77-bdb8787c08ad\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"end\":0.08},\"id\":\"d2ff1c01-bdbb-4cd1-bdfc-621c3bf20c67\",\"type\":\"Range1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"4d33cf53-e86f-4259-8c06-1c55e395b48b\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":0.08},\"id\":\"53d37632-d371-4b2b-ae77-f348d16c0185\",\"type\":\"Range1d\"},{\"attributes\":{\"children\":[{\"id\":\"a6577553-1561-48e7-bd28-e1902ee1a99f\",\"type\":\"ToolbarBox\"},{\"id\":\"458f710a-6339-4c89-872c-af3efc0e259b\",\"type\":\"Column\"}]},\"id\":\"c56e813d-7a89-4cc8-b892-f8f7cc906fea\",\"type\":\"Column\"},{\"attributes\":{\"callback\":null,\"end\":0.08},\"id\":\"6058a97a-d08c-4b67-b2b2-2bda994e3f66\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"53d6d902-a63d-421f-a9a0-091836674344\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"d19d4074-4efe-4f62-8b39-96a09b36a4b9\",\"type\":\"HoverTool\"}]},\"id\":\"f6beddea-c4d1-4bc0-822e-4f46390c658c\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"30f59250-7489-4264-8a03-ee5e3e261134\",\"type\":\"LinearScale\"},{\"attributes\":{\"children\":[{\"id\":\"aabc3cab-40ce-4ca6-933a-3e9d50a3f761\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"7ffdc56d-c9fe-4ae2-b7f1-8395fa74b709\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"93352da9-c8ea-4b52-a13b-1c7f35040a9d\",\"type\":\"Row\"},{\"attributes\":{},\"id\":\"8c6217ca-339a-45d4-a66b-bda1a2ba446a\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1c351f82-e644-41a9-bd1e-7b499b860bd4\",\"type\":\"LinearScale\"},{\"attributes\":{\"children\":[{\"id\":\"c4ff5e08-10ce-45df-9b3a-02d06dc98016\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"26d3cb04-357a-4472-885b-931c9571b134\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"10427867-dc59-47a0-b98e-59c3acbc5b44\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"4c0e0da3-db9e-445e-9387-d961d2be7a9f\",\"type\":\"Row\"},{\"attributes\":{},\"id\":\"c0911db2-19f8-4adb-9292-7ff0539bcf04\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"c4ff5e08-10ce-45df-9b3a-02d06dc98016\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"b92be9fa-32c2-4fc2-82fc-00b8df172766\",\"type\":\"BasicTicker\"}},\"id\":\"fe5e3707-57b9-438d-a6b6-6e996a31f945\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"dbb70881-ccab-49ed-aa7c-bef9981ea4a2\",\"type\":\"LinearScale\"},{\"attributes\":{\"children\":[{\"id\":\"4c0e0da3-db9e-445e-9387-d961d2be7a9f\",\"type\":\"Row\"},{\"id\":\"d70bc98a-e074-4c0f-b5db-713028ce5008\",\"type\":\"Row\"},{\"id\":\"93352da9-c8ea-4b52-a13b-1c7f35040a9d\",\"type\":\"Row\"}]},\"id\":\"458f710a-6339-4c89-872c-af3efc0e259b\",\"type\":\"Column\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"26d3cb04-357a-4472-885b-931c9571b134\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"83778de5-57aa-488b-9d90-7f74580f6760\",\"type\":\"HoverTool\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"c0911db2-19f8-4adb-9292-7ff0539bcf04\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"10a4247a-d30d-4558-8f66-db31aa762502\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9bb3908d-5f73-4494-b783-b76309728923\",\"type\":\"BasicTicker\"}},\"id\":\"dbaf6171-c5ce-4ebc-b4f7-dd55db8248cd\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"803e31c2-0783-48b8-af27-652087d88860\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"648c4b7e-394f-41db-9820-8ae67a34c08d\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"18a239a7-8f2a-42de-882b-e8f3f8706b50\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"66d76c70-9728-444c-a452-27e6eeeb61cd\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"below\":[{\"id\":\"4427ec4f-020d-4bcf-888b-34db4d222267\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"cbed78d4-9db3-4427-ba42-253a52341ab2\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"4427ec4f-020d-4bcf-888b-34db4d222267\",\"type\":\"LinearAxis\"},{\"id\":\"91c453a1-2fd2-4ee1-9dc8-c0d2d08b8660\",\"type\":\"Grid\"},{\"id\":\"cbed78d4-9db3-4427-ba42-253a52341ab2\",\"type\":\"LinearAxis\"},{\"id\":\"dc87884a-82fe-4e45-ad4c-5d6391f79032\",\"type\":\"Grid\"},{\"id\":\"7e504c67-dd43-4675-84e4-083cd07cb2a4\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"d5bca02f-1c85-4186-8a4e-21a040bd0b44\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"3b46bc75-0eb9-48c5-9b55-cf33bb6aebb6\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"2f94a81e-c0fe-4635-8cc4-51bf794a760a\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"d2ff5b1c-f00d-4b4e-900b-a7e88b3d509c\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"4f5aa107-180a-4ee0-b76d-578566a627b2\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"1ece15e3-8d41-4be7-bb4a-d7c183bd0101\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"dbb70881-ccab-49ed-aa7c-bef9981ea4a2\",\"type\":\"LinearScale\"}},\"id\":\"aabc3cab-40ce-4ca6-933a-3e9d50a3f761\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"ba77651c-37b5-4788-bcfd-9d43a3c6c9d5\",\"type\":\"Range1d\"}],\"root_ids\":[\"c56e813d-7a89-4cc8-b892-f8f7cc906fea\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"d70c2477-b889-4b83-8c3c-2dd34a1785f3\",\"elementid\":\"54a46bd4-48e8-4b70-9ff9-5d8a9c84edeb\",\"modelid\":\"c56e813d-7a89-4cc8-b892-f8f7cc906fea\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"54a46bd4-48e8-4b70-9ff9-5d8a9c84edeb\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_bokeh_plot(gen_index, 'Solar', 'percent Solar', \n",
    "                  'change in norm variability',\n",
    "                  y_range=(-1, 7), x_range=(0, 0.08))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Change in Solar vs Change in norm variability\n",
    "\n",
    "Most NERC regions didn't have recorded solar in 2005, so this plot doesn't make much sense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T11:53:54.996455",
     "start_time": "2017-07-18T11:53:53.915830"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"a6702530-7ea8-42d7-b9ff-221f3e54b5e8\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<div style='background-color: #fdd'>\\n\"+\n",
       "       \"<p>\\n\"+\n",
       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "       \"</p>\\n\"+\n",
       "       \"<ul>\\n\"+\n",
       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "       \"</ul>\\n\"+\n",
       "       \"<code>\\n\"+\n",
       "       \"from bokeh.resources import INLINE\\n\"+\n",
       "       \"output_notebook(resources=INLINE)\\n\"+\n",
       "       \"</code>\\n\"+\n",
       "       \"</div>\"}};\n",
       "  \n",
       "    function display_loaded() {\n",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"a6702530-7ea8-42d7-b9ff-221f3e54b5e8\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        var s = document.createElement('script');\n",
       "        s.src = url;\n",
       "        s.async = false;\n",
       "        s.onreadystatechange = s.onload = function() {\n",
       "          window._bokeh_is_loading--;\n",
       "          if (window._bokeh_is_loading === 0) {\n",
       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"a6702530-7ea8-42d7-b9ff-221f3e54b5e8\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'a6702530-7ea8-42d7-b9ff-221f3e54b5e8' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"4faf4221-9bc3-44d3-80ad-27df763d6f0c\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"586e5bef-8a88-4d5b-a3f7-615b927b786c\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"a654e8b0-2f2b-4765-9dc9-0265fdb06b32\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"586e5bef-8a88-4d5b-a3f7-615b927b786c\",\"type\":\"LinearAxis\"},{\"id\":\"2ffe68de-b194-4de3-bbfa-694bfddcb43f\",\"type\":\"Grid\"},{\"id\":\"a654e8b0-2f2b-4765-9dc9-0265fdb06b32\",\"type\":\"LinearAxis\"},{\"id\":\"bc7a267e-e612-4212-96b9-1417925af9fa\",\"type\":\"Grid\"},{\"id\":\"c1e6a2c8-1a36-4ee7-80c4-569171654f0a\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"da3025c1-7e8f-431d-a23d-d39aeee3648d\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"010e7c25-1dcb-44af-9dfe-4f0128771aa2\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"3f426ec3-51d5-455c-abff-af2d76d84f85\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"0e6f5854-4557-41ef-b7ce-2888af3421da\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"547ec745-f192-46ef-959c-38b6cb677e04\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"7c737eef-cbaa-4f8e-8f5e-a5371612b6fa\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"8107e932-f5b1-4232-bc92-529d23ac095a\",\"type\":\"LinearScale\"}},\"id\":\"05153345-d3a7-4742-be96-06dddccf4724\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"0b6a6c59-7a86-4f4a-a9f0-7cb7423e26ee\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null},\"id\":\"a3ab9ebc-ecd5-4626-952a-f2bf76aac4b4\",\"type\":\"DataRange1d\"},{\"attributes\":{\"children\":[{\"id\":\"c7d912a2-4a48-4926-8104-e676401100ba\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"11e3b522-ee4b-4483-b4d3-446fc3aff7fa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"05153345-d3a7-4742-be96-06dddccf4724\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"1a1d2ba1-8f06-47b6-ae4a-e71bbcd2565e\",\"type\":\"Row\"},{\"attributes\":{\"plot\":null,\"text\":\"FRCC 0.0% to 0.3% Solar\"},\"id\":\"aa396df6-ec9b-44d1-8a6c-e1095630fea0\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"010e7c25-1dcb-44af-9dfe-4f0128771aa2\",\"type\":\"ToolEvents\"},{\"attributes\":{\"axis_label\":\"change in Solar\",\"formatter\":{\"id\":\"48b7a5b6-2314-4ddc-9622-94fa2084f3dc\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"05153345-d3a7-4742-be96-06dddccf4724\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"aef1d457-1be3-491d-9090-f29af33a2941\",\"type\":\"BasicTicker\"}},\"id\":\"586e5bef-8a88-4d5b-a3f7-615b927b786c\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"cb54a48e-6de6-4caa-b8e9-cfac9580d7c5\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"18199bd1-48df-4da1-8b69-64d56a69aec8\",\"type\":\"BasicTicker\"}},\"id\":\"69305871-6dd2-4e20-a42c-be760e586d3b\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"a0a6feac-1c33-473c-88cc-3f79337bcb56\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"fb589637-188d-4d30-bb90-5dd284e33a45\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"plot\":{\"id\":\"11e3b522-ee4b-4483-b4d3-446fc3aff7fa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7c10d9fd-e295-4950-9b6e-a3347b1074f8\",\"type\":\"BasicTicker\"}},\"id\":\"f777816f-335c-44ca-bf84-cb7188a3e3fd\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":null,\"text\":\"ERCOT 0.0% to 0.2% Solar\"},\"id\":\"b87eadc9-ca6c-48c4-a4d1-1ce01d420331\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"afd1e384-7ed9-4a32-9f52-fb1ca47a4080\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"7f9b703b-7400-41fc-850e-452422d01f62\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"8abff153-381c-47ce-b776-82b95996d453\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"0a79327f-996d-45c3-b878-572467b57351\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null},\"id\":\"0e6f5854-4557-41ef-b7ce-2888af3421da\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"c8f17cdc-6657-47bc-970b-a2776dd2d282\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null},\"id\":\"ddeb9973-38f3-4a01-b515-2926fe6c02b4\",\"type\":\"DataRange1d\"},{\"attributes\":{\"axis_label\":\"change in Solar\",\"formatter\":{\"id\":\"722ad4e2-87f6-4af7-b420-3f2fe48f6c69\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"cb54a48e-6de6-4caa-b8e9-cfac9580d7c5\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"18199bd1-48df-4da1-8b69-64d56a69aec8\",\"type\":\"BasicTicker\"}},\"id\":\"0ac28fbd-532c-488a-889e-aa24631b1c24\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4f9bw3kld+uE/59drnY0g3z+61F92733mP5jODTSGDuc/jbn5qiLT5T8xSWQBVwPlP/ncujxisOQ/a1UY88z64j/jDXg6Q3jXP/rxxhFuUNk/g+VMnV1D4T+1mTuY/wrgPzSMecGH9t8/4xl2VeQV2j808hYPYUrHP61giKa3Jcs/Xvw+F1DI5z/mOVvQO0rtPyMGU9STJew/hy2isWx16T8vYHeeZW/pPyOvmuZCPek/xcyV/keo5D/fo05Vw57nP+drjnpHb+c/ZrT9nQde5z/WrRusUDfnP75gf0okh+c/y/eSh6b42D9qyPipIj61P2DmikmPtbQ/J9mmC3WGtT+nm8sxIGaoPxpSsPdK7aA/gSudC4TtrT/iY0Bn3z+tvybxIrfCWKi/MoA/JR4ilb8Gs7zaDYOivwLGutfkTKC/4vImim61rj/v+c4Xz9GRv11GFGj3rZi/shaQb9xOwL8CDqodyO/Av3Q9CaOJl68/8N6gDrz9vT+9pbAJ7Bq9P/IxHtwuHaM/JMdZwUH1tz84nGu0mhm3P5R82h+0k7k/tATmvJQosT/jdijC/Q2xPxeWVmODD7Y/vuFrDC4Wvj9bddC/pxvGP0kKEbVg87c/K9+eT6Cksz+kyNfh2jOzP8cTaKZEx7A/b+41R9A9qz969mPduXOtP4g19jgn2p8/bjASpajyzr8RxgNdkzLOv3zXBzUKkc+//B51lubj0L/DYtHEGRDWvyk6OIlShta/CjxFvSFh1r/BWA47WXjUvzoACSKgidG/8f8K+++H378+3bB9fUvgv5cgGYRkX96/u/n/Byda0b9Ce7kLNvbPv5YrQWaLz8+/jlpUeEDBz79XUSMuAkbQvxU8+SoFT9K/B2qHqHFBxb+2Pe4/e9nAv/ARFvqJpL4/prU/NU0R2z/cap8Qm6DlP9w4SWTvdvQ/9WooxEGv+T9VmA+QHRb6PxNuFLPnk/c/PI08P1FW9D/+LQTe+dHwP7hlAibSrOc/ld2C0YI35j8Oi+DYnP7gP1jIpOgjbN8/sBIWkmpr3z+y3WRZx3DfPwXQccfs4NE/gc9Nzv95wz8975rncXCsPwNp0vJvqNY/3AvHxrze5D+oNwN84XjqP23kX0d3j+o/M4VWCqKv6T+0XFZS367lPwRaReI0euI/JGPZ4X/U4j9Xe7GEHX7hP2kgG3OSaeY/t6sHwCLD6T+91+xmB3bsP4ouQE/Do+0/4+ont5Cm7D9s1Eh7C77qP1uqb5LJbOw/eZ3EUC938z/8yi40ebD6Pw3S/EXUmABAIeCLJmREBEDVbrV1ktMGQBBKPUTDOwlAiVuyRai1CkCmGx5R4WYIQCCZ6uP2BwVAtKBNgnz+AkCCzY4gKi//P273bzavd/0/a8rjZ5+T/T+ni4WFxrz9P0ptBSbP4fw/ZvmXKKL9+j/qpr+dNqL6PyHkmPEOhfc/ETniPOQT9j97vH0joNn5Pz3XzGTeX/g/U3PlHyDd7j/5BteIc3zpP2TSgCRKIuk/wdYzm3a16T9MpvYCZibnP7tQde5Tb+o/OY06omZA6T+66QNuH6npP9S8J1DKcek/irojE3lp7T9NCV94jCDmPwLTYglR/Ok/m+60NpH57T/5HHE26x3wPydDRiN/y+8/WgaSMyPs9T/QfCtudm/4P7rVsqTnivs/ve3dM8n2/T8heriJV7L8P8KiC2aRPwBADOtv4kWzBkBHU5/XKxcHQGs+NDc1dAVAJnd1uMe5A0Di7wGWHbUBQKXWhHq0XQFAcw63ert7A0BDRwnqh08HQGhJlf2Isg5AIoOEb3exD0AyS/+BK9cOQL6qFdDx9BBAzVc6rVSoEUC/Z7rPFSUSQPs/sRANUhFADCI1jQlOEUC9zLnVCM8QQDOyWnDnpBBAF8V3ZWCSEECcM2J+TcQQQOTc4FO+aA1A7AWmLMINDUCQzSj64wkOQMKfNJa37gtA\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"3ff08802-78b4-450e-80c0-16ca78515d73\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"below\":[{\"id\":\"6f130f0a-3927-4a48-b944-1b5d0ec5db71\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"5fedaa15-92d3-469c-bfa1-6864690152d6\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"6f130f0a-3927-4a48-b944-1b5d0ec5db71\",\"type\":\"LinearAxis\"},{\"id\":\"bd91d4b3-cd8f-4e71-b360-c670e4e82511\",\"type\":\"Grid\"},{\"id\":\"5fedaa15-92d3-469c-bfa1-6864690152d6\",\"type\":\"LinearAxis\"},{\"id\":\"f5065f2f-b28c-4ace-b3c5-e048cd3b8eb8\",\"type\":\"Grid\"},{\"id\":\"546e945f-2c84-49e3-9dbf-f27208d79e6a\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"5295d811-295f-4738-a56e-54e9d3f3b3dc\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"afd1e384-7ed9-4a32-9f52-fb1ca47a4080\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"397fd560-b78c-4772-9d40-d09c125cb5c2\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"5853935f-6cd2-4673-96ad-f916295ef3ec\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"2dff4fd4-54d1-4e6c-969e-bd6502328a05\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"a435f932-01a3-45db-b21b-538ca5374ea0\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"92cf4d84-95fc-438b-944a-8d6886935e47\",\"type\":\"LinearScale\"}},\"id\":\"35115639-b2b2-4d5a-bf26-7446b797622b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"f0751b96-4403-4b8f-89cb-4803f2dd7f66\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"35115639-b2b2-4d5a-bf26-7446b797622b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"55fbf79a-ac5d-4f5d-8793-cf8a0b8d86cc\",\"type\":\"BasicTicker\"}},\"id\":\"5fedaa15-92d3-469c-bfa1-6864690152d6\",\"type\":\"LinearAxis\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"61e500a0-4575-46ec-8f11-5b3826d95151\",\"type\":\"HoverTool\"}]},\"id\":\"397fd560-b78c-4772-9d40-d09c125cb5c2\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"38830bcd-6a25-4ccd-a167-92d3f45612a2\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"e9532f84-737b-46da-8f17-9c4beb7dc891\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data_source\":{\"id\":\"1c23934e-1303-48bd-ba53-ac064dd036fa\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"b4657d18-dbfc-4475-abae-495a8b913684\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"e5deadd3-ed67-49cb-b17c-e5acdf2c54f0\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"d04b8f96-b2da-4d05-bc63-4b48f200d194\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"axis_label\":\"change in Solar\",\"formatter\":{\"id\":\"791b795d-3c78-4922-9e71-0845971e625b\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"9d6d1055-7d61-49d9-9845-fd2e7db4e6f0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"be7871c6-6102-45b4-9359-94c0f1e32010\",\"type\":\"BasicTicker\"}},\"id\":\"034b7477-3c90-4732-be77-baa059e1baad\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":null,\"text\":\"WECC 0.1% to 5.2% Solar\"},\"id\":\"da3025c1-7e8f-431d-a23d-d39aeee3648d\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"bee234cd-54fa-427a-8310-21fe3c62bb37\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"99965f99-9331-4b4f-8bb3-12a139b0d6d5\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"a21f410c-32e9-4a95-95e3-91a4f27c6fcc\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"ed119894-35f7-4fbf-8dbe-f7af4424bf5f\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"9aa56455-a6a3-4d32-b8d7-3ba529a2781b\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"05153345-d3a7-4742-be96-06dddccf4724\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8e0af18e-ef41-454d-be5e-e1b351a1d2bc\",\"type\":\"BasicTicker\"}},\"id\":\"a654e8b0-2f2b-4765-9dc9-0265fdb06b32\",\"type\":\"LinearAxis\"},{\"attributes\":{\"sizing_mode\":\"scale_width\",\"toolbar_location\":\"above\",\"tools\":[{\"id\":\"a1d0bf6a-4feb-4f26-badd-0932ae605893\",\"type\":\"HoverTool\"},{\"id\":\"61890afe-6b5b-4849-9919-25086e413d86\",\"type\":\"HoverTool\"},{\"id\":\"86c14d02-106b-464c-a329-84e9aaa2537c\",\"type\":\"HoverTool\"},{\"id\":\"1d6704e8-8a4d-4c9c-95cf-d0540e5c88d0\",\"type\":\"HoverTool\"},{\"id\":\"b802a544-bff4-4ee1-bc38-c85d7f679db9\",\"type\":\"HoverTool\"},{\"id\":\"61e500a0-4575-46ec-8f11-5b3826d95151\",\"type\":\"HoverTool\"},{\"id\":\"178438d9-0abb-47f5-995c-d9b7fac68b47\",\"type\":\"HoverTool\"},{\"id\":\"ef00bbdf-2d2a-4733-84fb-0593dd9d4c49\",\"type\":\"HoverTool\"}]},\"id\":\"ebf5b614-6a71-4e9a-940f-5f5f1e642ac8\",\"type\":\"ToolbarBox\"},{\"attributes\":{\"callback\":null},\"id\":\"aef45b06-b154-48f3-99b0-14351cec52fa\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"d3b1a040-7e6c-42d3-a3e9-17005652b1b6\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in Solar\",\"formatter\":{\"id\":\"29702feb-22f2-42d8-b308-2c80638eb334\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"11e3b522-ee4b-4483-b4d3-446fc3aff7fa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7c10d9fd-e295-4950-9b6e-a3347b1074f8\",\"type\":\"BasicTicker\"}},\"id\":\"d75565a5-61e5-4fb2-9bd8-a8e585ee657c\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"be7871c6-6102-45b4-9359-94c0f1e32010\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"5df0a3b4-554b-4a70-904e-a3a93ac0d892\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"38830bcd-6a25-4ccd-a167-92d3f45612a2\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"f09db539-571d-4332-940f-ea8c75959dc4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"031bee75-eea3-4fc2-9395-3f2a5d1b2c8a\",\"type\":\"BasicTicker\"}},\"id\":\"b44a9a3e-31f3-43eb-b514-5a0eeb09bbda\",\"type\":\"LinearAxis\"},{\"attributes\":{\"below\":[{\"id\":\"0ac28fbd-532c-488a-889e-aa24631b1c24\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"d627ba40-98cb-4b46-a2d7-eab75150ec1c\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"0ac28fbd-532c-488a-889e-aa24631b1c24\",\"type\":\"LinearAxis\"},{\"id\":\"69305871-6dd2-4e20-a42c-be760e586d3b\",\"type\":\"Grid\"},{\"id\":\"d627ba40-98cb-4b46-a2d7-eab75150ec1c\",\"type\":\"LinearAxis\"},{\"id\":\"afdede76-8606-4541-b507-842a65bfa5fb\",\"type\":\"Grid\"},{\"id\":\"1feb1738-9d20-42d7-b59d-84a31bc6bc64\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"b7ed205f-9743-46c9-8b94-b8e3bd67d282\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"a21f410c-32e9-4a95-95e3-91a4f27c6fcc\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"d979379e-e29f-4af7-8cc6-cad4e2e45f4a\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"a3ab9ebc-ecd5-4626-952a-f2bf76aac4b4\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"956f2a68-c2f1-4ea7-9cb5-1ddb8166fb20\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"51a656e2-dd53-4ec8-a4a3-085aae44b5d1\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"d3b1a040-7e6c-42d3-a3e9-17005652b1b6\",\"type\":\"LinearScale\"}},\"id\":\"cb54a48e-6de6-4caa-b8e9-cfac9580d7c5\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null},\"id\":\"3782f719-f40e-4adb-93a2-a5100cc96cd9\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"956f2a68-c2f1-4ea7-9cb5-1ddb8166fb20\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"2dff4fd4-54d1-4e6c-969e-bd6502328a05\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"275f86aa-2b64-4f76-9da3-39ac1e13f16e\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e5deadd3-ed67-49cb-b17c-e5acdf2c54f0\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"aef1d457-1be3-491d-9090-f29af33a2941\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"110d4914-07c1-4250-8fc0-d36bc2a2abc3\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"030e0bd9-25d5-40e9-a068-fa9a572a57e1\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"axis_label\":\"change in Solar\",\"formatter\":{\"id\":\"ab8213b2-91ac-45bf-b7b6-9cbbbe8e2837\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"35115639-b2b2-4d5a-bf26-7446b797622b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"50cc4c78-c2d6-487d-a2a3-c6fbadbf4f12\",\"type\":\"BasicTicker\"}},\"id\":\"6f130f0a-3927-4a48-b944-1b5d0ec5db71\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"ab8213b2-91ac-45bf-b7b6-9cbbbe8e2837\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"6f9f82fe-2a06-4a94-837c-25bfabda2f0e\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data_source\":{\"id\":\"0a0eabe0-25d1-4f61-ba2e-2c5eefbc2ddb\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"d95c8ae6-5de4-4993-9bb2-67567058c5cf\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"e8f58f67-696a-4093-ade3-865443658f29\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"fcde92c8-1cf8-4c4a-825a-97034bd0c088\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null},\"id\":\"c2506e67-d568-47d7-a9f6-a8dbd73f040f\",\"type\":\"DataRange1d\"},{\"attributes\":{\"data_source\":{\"id\":\"23e3cd1e-1505-474a-a8f7-a6d9cb43eb06\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"a0a6feac-1c33-473c-88cc-3f79337bcb56\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"e82ea7c3-e526-4449-a187-9343ddff5f15\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"1feb1738-9d20-42d7-b59d-84a31bc6bc64\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"plot\":null,\"text\":\"SERC 0.0% to 0.5% Solar\"},\"id\":\"ad13ce42-7cd0-4963-b462-d3fa00702fff\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"50cc4c78-c2d6-487d-a2a3-c6fbadbf4f12\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"b4657d18-dbfc-4475-abae-495a8b913684\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"f09db539-571d-4332-940f-ea8c75959dc4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"ef00bbdf-2d2a-4733-84fb-0593dd9d4c49\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"dca16cd2-4ce2-4302-a8ad-ab5efe08d4b8\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"791b795d-3c78-4922-9e71-0845971e625b\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"b802a544-bff4-4ee1-bc38-c85d7f679db9\",\"type\":\"HoverTool\"}]},\"id\":\"d979379e-e29f-4af7-8cc6-cad4e2e45f4a\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"29702feb-22f2-42d8-b308-2c80638eb334\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"23e3cd1e-1505-474a-a8f7-a6d9cb43eb06\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"axis_label\":\"change in Solar\",\"formatter\":{\"id\":\"6c88ef74-2fed-4269-84a0-41c0c1308b5d\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c7d912a2-4a48-4926-8104-e676401100ba\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"dca16cd2-4ce2-4302-a8ad-ab5efe08d4b8\",\"type\":\"BasicTicker\"}},\"id\":\"4207ebaf-82be-43ed-8217-027148c4e6c3\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"15285b92-87ba-4b0a-a526-cb5695da14d3\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"481b885d-0484-433b-9487-f0d36a72d40c\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"1c23934e-1303-48bd-ba53-ac064dd036fa\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"axis_label\":\"change in Solar\",\"formatter\":{\"id\":\"6f9f82fe-2a06-4a94-837c-25bfabda2f0e\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"f09db539-571d-4332-940f-ea8c75959dc4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5df0a3b4-554b-4a70-904e-a3a93ac0d892\",\"type\":\"BasicTicker\"}},\"id\":\"9cca6104-2285-4ebc-8b80-0efa736da598\",\"type\":\"LinearAxis\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"61890afe-6b5b-4849-9919-25086e413d86\",\"type\":\"HoverTool\"}]},\"id\":\"1be28fa5-1e6b-4f29-ba56-bb7e21d35225\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"72cdba94-5799-4597-903d-9110effdcfc0\",\"type\":\"Range1d\"},{\"attributes\":{\"plot\":{\"id\":\"9d6d1055-7d61-49d9-9845-fd2e7db4e6f0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"be7871c6-6102-45b4-9359-94c0f1e32010\",\"type\":\"BasicTicker\"}},\"id\":\"837919c3-f4b0-405b-abd9-4fd9794b8987\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"18199bd1-48df-4da1-8b69-64d56a69aec8\",\"type\":\"BasicTicker\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"86c14d02-106b-464c-a329-84e9aaa2537c\",\"type\":\"HoverTool\"}]},\"id\":\"3f426ec3-51d5-455c-abff-af2d76d84f85\",\"type\":\"Toolbar\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"9d6d1055-7d61-49d9-9845-fd2e7db4e6f0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"cba62d89-7a2d-423a-9e63-cbd53b501b44\",\"type\":\"BasicTicker\"}},\"id\":\"57ab086b-0bd6-4d84-879d-594fa4662b67\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"275f86aa-2b64-4f76-9da3-39ac1e13f16e\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"11e3b522-ee4b-4483-b4d3-446fc3aff7fa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"3bc9c694-51b6-4729-bae4-be5c8092717d\",\"type\":\"BasicTicker\"}},\"id\":\"d4bd5651-3102-4230-aa50-d6b5dbe7780e\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"4588057f-bd76-4021-8731-7903c6fad189\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"c5c96cf4-655d-4c54-947a-d4d2d08ebb5b\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"a435f932-01a3-45db-b21b-538ca5374ea0\",\"type\":\"Range1d\"},{\"attributes\":{\"children\":[{\"id\":\"1a1d2ba1-8f06-47b6-ae4a-e71bbcd2565e\",\"type\":\"Row\"},{\"id\":\"c9436eea-c199-452d-93cd-59c143ab36f1\",\"type\":\"Row\"},{\"id\":\"17be0c38-9047-47d3-b47b-2b21c5a3179d\",\"type\":\"Row\"}]},\"id\":\"1bfbfff1-04fc-4062-b557-eb4195a344d4\",\"type\":\"Column\"},{\"attributes\":{\"callback\":null},\"id\":\"e6d5b1c3-3431-4513-b209-51396f89201b\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"11e3b522-ee4b-4483-b4d3-446fc3aff7fa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"61890afe-6b5b-4849-9919-25086e413d86\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"73b67d06-322c-49f7-ae6a-14b6daed69d8\",\"type\":\"ToolEvents\"},{\"attributes\":{\"plot\":null,\"text\":\"NPCC 0.0% to 1.5% Solar\"},\"id\":\"9aa45ab2-66fa-4011-a24b-b0e318963847\",\"type\":\"Title\"},{\"attributes\":{\"data_source\":{\"id\":\"3ff08802-78b4-450e-80c0-16ca78515d73\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"34b5d5b4-4387-490f-accf-31e142ab7fdf\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"93c86fee-fb43-490b-8828-cee74a3f7a63\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"6f5a49c0-5880-4ffb-91cc-e9be504730c1\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"b59f2626-9da5-4cdd-93c7-5da3ea0bb308\",\"type\":\"ToolEvents\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"82c52ff4-7f8d-456d-a245-8d8bc8e36629\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"9c21efc1-d729-44cc-9b10-92925d7db3db\",\"type\":\"LinearScale\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"cb54a48e-6de6-4caa-b8e9-cfac9580d7c5\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"514f63dd-152a-4c43-881b-76434d7743c2\",\"type\":\"BasicTicker\"}},\"id\":\"afdede76-8606-4541-b507-842a65bfa5fb\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"35115639-b2b2-4d5a-bf26-7446b797622b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"55fbf79a-ac5d-4f5d-8793-cf8a0b8d86cc\",\"type\":\"BasicTicker\"}},\"id\":\"f5065f2f-b28c-4ace-b3c5-e048cd3b8eb8\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"11e3b522-ee4b-4483-b4d3-446fc3aff7fa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"3bc9c694-51b6-4729-bae4-be5c8092717d\",\"type\":\"BasicTicker\"}},\"id\":\"772fd1a6-25ff-4625-8684-e53731dca7e5\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"8107e932-f5b1-4232-bc92-529d23ac095a\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"110d4914-07c1-4250-8fc0-d36bc2a2abc3\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"0b6a6c59-7a86-4f4a-a9f0-7cb7423e26ee\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"2e9ce9ae-1570-4fbe-9646-1961d43c99d2\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"8c6936d9-0d77-4762-a63f-32cbd605323c\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"e9532f84-737b-46da-8f17-9c4beb7dc891\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"cb54a48e-6de6-4caa-b8e9-cfac9580d7c5\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"514f63dd-152a-4c43-881b-76434d7743c2\",\"type\":\"BasicTicker\"}},\"id\":\"d627ba40-98cb-4b46-a2d7-eab75150ec1c\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"514f63dd-152a-4c43-881b-76434d7743c2\",\"type\":\"BasicTicker\"},{\"attributes\":{\"below\":[{\"id\":\"d75565a5-61e5-4fb2-9bd8-a8e585ee657c\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"d4bd5651-3102-4230-aa50-d6b5dbe7780e\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"d75565a5-61e5-4fb2-9bd8-a8e585ee657c\",\"type\":\"LinearAxis\"},{\"id\":\"f777816f-335c-44ca-bf84-cb7188a3e3fd\",\"type\":\"Grid\"},{\"id\":\"d4bd5651-3102-4230-aa50-d6b5dbe7780e\",\"type\":\"LinearAxis\"},{\"id\":\"772fd1a6-25ff-4625-8684-e53731dca7e5\",\"type\":\"Grid\"},{\"id\":\"8c6936d9-0d77-4762-a63f-32cbd605323c\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"b87eadc9-ca6c-48c4-a4d1-1ce01d420331\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"b59f2626-9da5-4cdd-93c7-5da3ea0bb308\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"1be28fa5-1e6b-4f29-ba56-bb7e21d35225\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"3782f719-f40e-4adb-93a2-a5100cc96cd9\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"c4fbae34-95ce-4abc-a781-4c6ffffca2a3\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"a09aa9d6-b56a-496e-a316-1f39021b2685\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"7f9b703b-7400-41fc-850e-452422d01f62\",\"type\":\"LinearScale\"}},\"id\":\"11e3b522-ee4b-4483-b4d3-446fc3aff7fa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"ef00bbdf-2d2a-4733-84fb-0593dd9d4c49\",\"type\":\"HoverTool\"}]},\"id\":\"92f978bd-6dea-455c-9fce-24dfecdac8df\",\"type\":\"Toolbar\"},{\"attributes\":{\"below\":[{\"id\":\"80d0071f-2346-4ccb-9162-691a346ab8da\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"4d9d6e60-8058-4b8d-91a1-78ed1c89ec7c\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"80d0071f-2346-4ccb-9162-691a346ab8da\",\"type\":\"LinearAxis\"},{\"id\":\"38b850a9-25de-4434-ae45-6fb56be1404c\",\"type\":\"Grid\"},{\"id\":\"4d9d6e60-8058-4b8d-91a1-78ed1c89ec7c\",\"type\":\"LinearAxis\"},{\"id\":\"270939cd-6d4b-4198-ac8d-c00d929a4324\",\"type\":\"Grid\"},{\"id\":\"0baa68da-c9a9-42a3-9cff-b9499acde2f7\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"293d88a1-8267-4dad-906f-f6caa1170abc\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"f2a727e4-e0be-42e1-ba62-e7feddd23fc6\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"5452eca3-c935-4056-8c0b-0cdd2f57b53d\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"aef45b06-b154-48f3-99b0-14351cec52fa\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"db96a30b-4d45-41d4-a9ec-ab37a7cb7825\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"481b885d-0484-433b-9487-f0d36a72d40c\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"eec65c84-fffb-4ad6-897d-52286348d8c8\",\"type\":\"LinearScale\"}},\"id\":\"06b567f3-6154-490f-a795-b6f03d78bad6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"35115639-b2b2-4d5a-bf26-7446b797622b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"61e500a0-4575-46ec-8f11-5b3826d95151\",\"type\":\"HoverTool\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"306cad86-082c-43a9-bf23-9b2db648429e\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"9d6d1055-7d61-49d9-9845-fd2e7db4e6f0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"cba62d89-7a2d-423a-9e63-cbd53b501b44\",\"type\":\"BasicTicker\"}},\"id\":\"ddd92bfb-d84d-42d1-abfc-6e2abfd2ce58\",\"type\":\"LinearAxis\"},{\"attributes\":{\"children\":[{\"id\":\"9d6d1055-7d61-49d9-9845-fd2e7db4e6f0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"cb54a48e-6de6-4caa-b8e9-cfac9580d7c5\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"35115639-b2b2-4d5a-bf26-7446b797622b\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"c9436eea-c199-452d-93cd-59c143ab36f1\",\"type\":\"Row\"},{\"attributes\":{\"plot\":{\"id\":\"c7d912a2-4a48-4926-8104-e676401100ba\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"dca16cd2-4ce2-4302-a8ad-ab5efe08d4b8\",\"type\":\"BasicTicker\"}},\"id\":\"db684016-4a84-497c-a707-9d74ad19e6ad\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":null,\"text\":\"SPP 0.0% to 0.0% Solar\"},\"id\":\"5295d811-295f-4738-a56e-54e9d3f3b3dc\",\"type\":\"Title\"},{\"attributes\":{\"axis_label\":\"change in Solar\",\"formatter\":{\"id\":\"15285b92-87ba-4b0a-a526-cb5695da14d3\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"06b567f3-6154-490f-a795-b6f03d78bad6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"ed119894-35f7-4fbf-8dbe-f7af4424bf5f\",\"type\":\"BasicTicker\"}},\"id\":\"80d0071f-2346-4ccb-9162-691a346ab8da\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"8e0af18e-ef41-454d-be5e-e1b351a1d2bc\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"05153345-d3a7-4742-be96-06dddccf4724\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8e0af18e-ef41-454d-be5e-e1b351a1d2bc\",\"type\":\"BasicTicker\"}},\"id\":\"bc7a267e-e612-4212-96b9-1417925af9fa\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"7c10d9fd-e295-4950-9b6e-a3347b1074f8\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"06b567f3-6154-490f-a795-b6f03d78bad6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"178438d9-0abb-47f5-995c-d9b7fac68b47\",\"type\":\"HoverTool\"},{\"attributes\":{\"plot\":{\"id\":\"f09db539-571d-4332-940f-ea8c75959dc4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5df0a3b4-554b-4a70-904e-a3a93ac0d892\",\"type\":\"BasicTicker\"}},\"id\":\"392f9bad-c2cf-4d61-ab51-53f6c53aeacf\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null},\"id\":\"5853935f-6cd2-4673-96ad-f916295ef3ec\",\"type\":\"DataRange1d\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"c7d912a2-4a48-4926-8104-e676401100ba\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"40f16e3c-e77f-4b4d-be9b-d39985f6fac6\",\"type\":\"BasicTicker\"}},\"id\":\"d4d46954-dc3b-4f90-b254-e7dbc2acdb3f\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"92cf4d84-95fc-438b-944a-8d6886935e47\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"f2a727e4-e0be-42e1-ba62-e7feddd23fc6\",\"type\":\"ToolEvents\"},{\"attributes\":{\"plot\":{\"id\":\"35115639-b2b2-4d5a-bf26-7446b797622b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"50cc4c78-c2d6-487d-a2a3-c6fbadbf4f12\",\"type\":\"BasicTicker\"}},\"id\":\"bd91d4b3-cd8f-4e71-b360-c670e4e82511\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"a09aa9d6-b56a-496e-a316-1f39021b2685\",\"type\":\"Range1d\"},{\"attributes\":{\"data_source\":{\"id\":\"fb589637-188d-4d30-bb90-5dd284e33a45\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"82c52ff4-7f8d-456d-a245-8d8bc8e36629\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"8abff153-381c-47ce-b776-82b95996d453\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"c1e6a2c8-1a36-4ee7-80c4-569171654f0a\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"b03550bc-d8dd-4455-bd98-72011e292ce8\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"05153345-d3a7-4742-be96-06dddccf4724\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"86c14d02-106b-464c-a329-84e9aaa2537c\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"51a656e2-dd53-4ec8-a4a3-085aae44b5d1\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"3317ca1c-6ce9-4806-a99d-c3c6efe8c88a\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"a1d0bf6a-4feb-4f26-badd-0932ae605893\",\"type\":\"HoverTool\"}]},\"id\":\"d7563280-e290-448e-8d6c-8af77d5f4f62\",\"type\":\"Toolbar\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"19a0c78e-8745-4645-b155-c4f13086cfe5\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"9aa56455-a6a3-4d32-b8d7-3ba529a2781b\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"cb54a48e-6de6-4caa-b8e9-cfac9580d7c5\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"b802a544-bff4-4ee1-bc38-c85d7f679db9\",\"type\":\"HoverTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"45c3a671-c370-4331-bea8-110956d788b2\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"7c737eef-cbaa-4f8e-8f5e-a5371612b6fa\",\"type\":\"Range1d\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"bf8e55ad-c218-4791-9415-7999edd617e3\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"06b567f3-6154-490f-a795-b6f03d78bad6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"b893be8c-b121-4c48-a31a-85ddda8186b5\",\"type\":\"BasicTicker\"}},\"id\":\"4d9d6e60-8058-4b8d-91a1-78ed1c89ec7c\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":null,\"text\":\"MRO 0.0% to 0.1% Solar\"},\"id\":\"293d88a1-8267-4dad-906f-f6caa1170abc\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"0a0eabe0-25d1-4f61-ba2e-2c5eefbc2ddb\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"cba62d89-7a2d-423a-9e63-cbd53b501b44\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e82ea7c3-e526-4449-a187-9343ddff5f15\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"d89075a2-41fd-43d3-856d-853e1b7fd42c\",\"type\":\"ToolEvents\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1d6704e8-8a4d-4c9c-95cf-d0540e5c88d0\",\"type\":\"HoverTool\"}]},\"id\":\"a8f4bd21-f30d-482e-86d0-d15069c06eb9\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"eec65c84-fffb-4ad6-897d-52286348d8c8\",\"type\":\"LinearScale\"},{\"attributes\":{\"below\":[{\"id\":\"9cca6104-2285-4ebc-8b80-0efa736da598\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"b44a9a3e-31f3-43eb-b514-5a0eeb09bbda\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"9cca6104-2285-4ebc-8b80-0efa736da598\",\"type\":\"LinearAxis\"},{\"id\":\"392f9bad-c2cf-4d61-ab51-53f6c53aeacf\",\"type\":\"Grid\"},{\"id\":\"b44a9a3e-31f3-43eb-b514-5a0eeb09bbda\",\"type\":\"LinearAxis\"},{\"id\":\"f6c7930e-21d7-4c7a-b91e-9547d35b7654\",\"type\":\"Grid\"},{\"id\":\"6f5a49c0-5880-4ffb-91cc-e9be504730c1\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"ad13ce42-7cd0-4963-b462-d3fa00702fff\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"d89075a2-41fd-43d3-856d-853e1b7fd42c\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"92f978bd-6dea-455c-9fce-24dfecdac8df\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"e6d5b1c3-3431-4513-b209-51396f89201b\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"44266445-736a-4d52-bc3c-ab3b1c338235\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"0a79327f-996d-45c3-b878-572467b57351\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"bee234cd-54fa-427a-8310-21fe3c62bb37\",\"type\":\"LinearScale\"}},\"id\":\"f09db539-571d-4332-940f-ea8c75959dc4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e8f58f67-696a-4093-ade3-865443658f29\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"9d6d1055-7d61-49d9-9845-fd2e7db4e6f0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"1d6704e8-8a4d-4c9c-95cf-d0540e5c88d0\",\"type\":\"HoverTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2e9ce9ae-1570-4fbe-9646-1961d43c99d2\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"306cad86-082c-43a9-bf23-9b2db648429e\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"c7d912a2-4a48-4926-8104-e676401100ba\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"a1d0bf6a-4feb-4f26-badd-0932ae605893\",\"type\":\"HoverTool\"},{\"attributes\":{\"plot\":{\"id\":\"05153345-d3a7-4742-be96-06dddccf4724\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"aef1d457-1be3-491d-9090-f29af33a2941\",\"type\":\"BasicTicker\"}},\"id\":\"2ffe68de-b194-4de3-bbfa-694bfddcb43f\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"48b7a5b6-2314-4ddc-9622-94fa2084f3dc\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"6c88ef74-2fed-4269-84a0-41c0c1308b5d\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"00892287-36e2-464d-9788-2571d40c3950\",\"type\":\"ToolEvents\"},{\"attributes\":{\"data_source\":{\"id\":\"030e0bd9-25d5-40e9-a068-fa9a572a57e1\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"45c3a671-c370-4331-bea8-110956d788b2\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"19a0c78e-8745-4645-b155-c4f13086cfe5\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"546e945f-2c84-49e3-9dbf-f27208d79e6a\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"d95c8ae6-5de4-4993-9bb2-67567058c5cf\",\"type\":\"Circle\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"06b567f3-6154-490f-a795-b6f03d78bad6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"b893be8c-b121-4c48-a31a-85ddda8186b5\",\"type\":\"BasicTicker\"}},\"id\":\"270939cd-6d4b-4198-ac8d-c00d929a4324\",\"type\":\"Grid\"},{\"attributes\":{\"below\":[{\"id\":\"034b7477-3c90-4732-be77-baa059e1baad\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"ddd92bfb-d84d-42d1-abfc-6e2abfd2ce58\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"034b7477-3c90-4732-be77-baa059e1baad\",\"type\":\"LinearAxis\"},{\"id\":\"837919c3-f4b0-405b-abd9-4fd9794b8987\",\"type\":\"Grid\"},{\"id\":\"ddd92bfb-d84d-42d1-abfc-6e2abfd2ce58\",\"type\":\"LinearAxis\"},{\"id\":\"57ab086b-0bd6-4d84-879d-594fa4662b67\",\"type\":\"Grid\"},{\"id\":\"d04b8f96-b2da-4d05-bc63-4b48f200d194\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"aa396df6-ec9b-44d1-8a6c-e1095630fea0\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"00892287-36e2-464d-9788-2571d40c3950\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"a8f4bd21-f30d-482e-86d0-d15069c06eb9\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"ddeb9973-38f3-4a01-b515-2926fe6c02b4\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"99965f99-9331-4b4f-8bb3-12a139b0d6d5\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"4508a49c-fa21-4771-bba1-312d030197a6\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"9c21efc1-d729-44cc-9b10-92925d7db3db\",\"type\":\"LinearScale\"}},\"id\":\"9d6d1055-7d61-49d9-9845-fd2e7db4e6f0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"44266445-736a-4d52-bc3c-ab3b1c338235\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"4508a49c-fa21-4771-bba1-312d030197a6\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"db96a30b-4d45-41d4-a9ec-ab37a7cb7825\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"547ec745-f192-46ef-959c-38b6cb677e04\",\"type\":\"LinearScale\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"178438d9-0abb-47f5-995c-d9b7fac68b47\",\"type\":\"HoverTool\"}]},\"id\":\"5452eca3-c935-4056-8c0b-0cdd2f57b53d\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"bf8e55ad-c218-4791-9415-7999edd617e3\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"f0751b96-4403-4b8f-89cb-4803f2dd7f66\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"3bc9c694-51b6-4729-bae4-be5c8092717d\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"40f16e3c-e77f-4b4d-be9b-d39985f6fac6\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"93c86fee-fb43-490b-8828-cee74a3f7a63\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"4bce09bf-48fe-4516-adb3-6cd8b6e4cc70\",\"type\":\"LinearScale\"},{\"attributes\":{\"children\":[{\"id\":\"06b567f3-6154-490f-a795-b6f03d78bad6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"f09db539-571d-4332-940f-ea8c75959dc4\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"17be0c38-9047-47d3-b47b-2b21c5a3179d\",\"type\":\"Row\"},{\"attributes\":{\"plot\":null,\"text\":\"RFC 0.0% to 0.5% Solar\"},\"id\":\"b7ed205f-9743-46c9-8b94-b8e3bd67d282\",\"type\":\"Title\"},{\"attributes\":{\"plot\":{\"id\":\"06b567f3-6154-490f-a795-b6f03d78bad6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"ed119894-35f7-4fbf-8dbe-f7af4424bf5f\",\"type\":\"BasicTicker\"}},\"id\":\"38b850a9-25de-4434-ae45-6fb56be1404c\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"f09db539-571d-4332-940f-ea8c75959dc4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"031bee75-eea3-4fc2-9395-3f2a5d1b2c8a\",\"type\":\"BasicTicker\"}},\"id\":\"f6c7930e-21d7-4c7a-b91e-9547d35b7654\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"3317ca1c-6ce9-4806-a99d-c3c6efe8c88a\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c7d912a2-4a48-4926-8104-e676401100ba\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"40f16e3c-e77f-4b4d-be9b-d39985f6fac6\",\"type\":\"BasicTicker\"}},\"id\":\"81a329be-bb07-436a-ae1d-3ad3a055b01f\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"722ad4e2-87f6-4af7-b420-3f2fe48f6c69\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"b893be8c-b121-4c48-a31a-85ddda8186b5\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"55fbf79a-ac5d-4f5d-8793-cf8a0b8d86cc\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"34b5d5b4-4387-490f-accf-31e142ab7fdf\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"031bee75-eea3-4fc2-9395-3f2a5d1b2c8a\",\"type\":\"BasicTicker\"},{\"attributes\":{\"below\":[{\"id\":\"4207ebaf-82be-43ed-8217-027148c4e6c3\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"81a329be-bb07-436a-ae1d-3ad3a055b01f\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"4207ebaf-82be-43ed-8217-027148c4e6c3\",\"type\":\"LinearAxis\"},{\"id\":\"db684016-4a84-497c-a707-9d74ad19e6ad\",\"type\":\"Grid\"},{\"id\":\"81a329be-bb07-436a-ae1d-3ad3a055b01f\",\"type\":\"LinearAxis\"},{\"id\":\"d4d46954-dc3b-4f90-b254-e7dbc2acdb3f\",\"type\":\"Grid\"},{\"id\":\"fcde92c8-1cf8-4c4a-825a-97034bd0c088\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"9aa45ab2-66fa-4011-a24b-b0e318963847\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"73b67d06-322c-49f7-ae6a-14b6daed69d8\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"d7563280-e290-448e-8d6c-8af77d5f4f62\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"c2506e67-d568-47d7-a9f6-a8dbd73f040f\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"c5c96cf4-655d-4c54-947a-d4d2d08ebb5b\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"72cdba94-5799-4597-903d-9110effdcfc0\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"4bce09bf-48fe-4516-adb3-6cd8b6e4cc70\",\"type\":\"LinearScale\"}},\"id\":\"c7d912a2-4a48-4926-8104-e676401100ba\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"c4fbae34-95ce-4abc-a781-4c6ffffca2a3\",\"type\":\"LinearScale\"},{\"attributes\":{\"children\":[{\"id\":\"ebf5b614-6a71-4e9a-940f-5f5f1e642ac8\",\"type\":\"ToolbarBox\"},{\"id\":\"1bfbfff1-04fc-4062-b557-eb4195a344d4\",\"type\":\"Column\"}]},\"id\":\"6586f8c0-30ba-46b9-b23a-2aa38d9e1db9\",\"type\":\"Column\"},{\"attributes\":{\"data_source\":{\"id\":\"c8f17cdc-6657-47bc-970b-a2776dd2d282\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"b03550bc-d8dd-4455-bd98-72011e292ce8\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"4588057f-bd76-4021-8731-7903c6fad189\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"0baa68da-c9a9-42a3-9cff-b9499acde2f7\",\"type\":\"GlyphRenderer\"}],\"root_ids\":[\"6586f8c0-30ba-46b9-b23a-2aa38d9e1db9\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"4faf4221-9bc3-44d3-80ad-27df763d6f0c\",\"elementid\":\"a6702530-7ea8-42d7-b9ff-221f3e54b5e8\",\"modelid\":\"6586f8c0-30ba-46b9-b23a-2aa38d9e1db9\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"a6702530-7ea8-42d7-b9ff-221f3e54b5e8\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_bokeh_plot(gen_index, 'Solar', 'change in Solar', \n",
    "                  'change in norm variability', y_range=(-1, 7))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Nuclear"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Percent Solar vs Change in norm variability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T11:54:01.290388",
     "start_time": "2017-07-18T11:54:00.574991"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"fa21b4bf-4c91-487e-93fc-a8cf53a5b609\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<div style='background-color: #fdd'>\\n\"+\n",
       "       \"<p>\\n\"+\n",
       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "       \"</p>\\n\"+\n",
       "       \"<ul>\\n\"+\n",
       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "       \"</ul>\\n\"+\n",
       "       \"<code>\\n\"+\n",
       "       \"from bokeh.resources import INLINE\\n\"+\n",
       "       \"output_notebook(resources=INLINE)\\n\"+\n",
       "       \"</code>\\n\"+\n",
       "       \"</div>\"}};\n",
       "  \n",
       "    function display_loaded() {\n",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"fa21b4bf-4c91-487e-93fc-a8cf53a5b609\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        var s = document.createElement('script');\n",
       "        s.src = url;\n",
       "        s.async = false;\n",
       "        s.onreadystatechange = s.onload = function() {\n",
       "          window._bokeh_is_loading--;\n",
       "          if (window._bokeh_is_loading === 0) {\n",
       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"fa21b4bf-4c91-487e-93fc-a8cf53a5b609\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'fa21b4bf-4c91-487e-93fc-a8cf53a5b609' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"f4631bed-9ac1-45cb-b9fc-4893660aecc8\":{\"roots\":{\"references\":[{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"f9a6b309-f436-4ea8-a941-96afde8f26e1\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":{\"id\":\"782944a3-a84b-402e-9429-d21c11954706\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"ff85813e-4df3-40f1-bf64-13b24ff34c5d\",\"type\":\"BasicTicker\"}},\"id\":\"66b81246-be9f-499b-9fea-69a6fcb2399b\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"end\":0.35},\"id\":\"31f88266-e755-463d-b96d-a30353c1d237\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"8d9cb7c1-fa56-49ca-9d35-6ec3de3d86dc\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data_source\":{\"id\":\"8d9cb7c1-fa56-49ca-9d35-6ec3de3d86dc\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"68921144-5ebe-4015-bf01-6b66a3ecf474\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"a9b4a085-5a38-4867-bf11-24c2a9fe6b3a\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"2d0a89b7-fb4c-47e0-a503-19553bcc9d8a\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"a0077847-1e58-492c-9ff5-0268ab1eadd9\",\"type\":\"HoverTool\"}]},\"id\":\"852a7819-d212-4861-ac8f-faf2db9244a5\",\"type\":\"Toolbar\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"5a19bbf9-d2d1-4925-b05f-d12dfecb9d7d\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"fd5155a3-30bd-4191-952b-6ae3afdfe966\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7892724b-e794-45c2-b024-8c69393162bd\",\"type\":\"BasicTicker\"}},\"id\":\"aca38128-d266-410a-9ad8-d09a313055b1\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"47dd6e86-e682-4805-a431-ce94316e4375\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"12a2122e-b241-47fb-ad16-ce378147d79b\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"a3d23e95-9dec-4393-90f8-3f4573a78bd9\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"03f90714-5417-4aaf-a143-42c92457428c\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"b5a7f12e-a7ab-48d1-a85f-b124c878def6\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"0a4b4031-b39b-4fa2-808c-3ec823ea20c2\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"0a3d89bc-4c0c-4a94-8fdb-ee4c2b585c23\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"9e81a0ea-1a4c-4f3c-828f-870692ca91aa\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"10e9f5c9-71f8-46cb-91d0-03c479f79b10\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"plot\":{\"id\":\"937793d1-8e87-4d17-a959-37b973229d36\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"c26d4340-9211-4e85-beb2-fc6e36321daf\",\"type\":\"BasicTicker\"}},\"id\":\"4477f108-bcd4-42e3-8397-ea1bd5c8bded\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"0509e9fa-4a4e-46c3-be8f-c8ce1bd7c5b3\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"e469c057-dbe8-49f1-832c-cfb1512ebc79\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"ba563aff-f4f9-4647-aaae-868eebc4286d\",\"type\":\"BasicTicker\"}},\"id\":\"99ac9ce8-b87b-44ff-a029-72aae7e4002f\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"fd5155a3-30bd-4191-952b-6ae3afdfe966\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7892724b-e794-45c2-b024-8c69393162bd\",\"type\":\"BasicTicker\"}},\"id\":\"7f1cdf8d-61b9-40f4-bd68-e80e4720b2ce\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"55f764ae-5a55-4bcb-90a4-cdf2c655c31f\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"73e0134d-25d8-471c-84c6-eb8fb3782eba\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d4843163-93cd-4f6d-ab0f-989728db5568\",\"type\":\"BasicTicker\"}},\"id\":\"0754723c-070f-410f-a926-aed179a47d03\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"26ea907b-482d-458b-aa50-029441680789\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"12925193-aa18-4e4c-8167-5b90adf28db6\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"782944a3-a84b-402e-9429-d21c11954706\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"4f6e47b0-5738-4269-a846-fd6b3fa4da48\",\"type\":\"HoverTool\"},{\"attributes\":{\"plot\":null,\"text\":\"WECC 10.0% to 8.2% Nuclear\"},\"id\":\"8ae209ef-c68d-4a70-ac6a-6833dd16e8bc\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"d57a041f-b5b6-4c20-8f5a-f1defdad8e37\",\"type\":\"ToolEvents\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"a6a572b6-8b2d-4dba-b747-5eddf4e4f536\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"a38c7c95-7aed-41ef-a5b8-57321f95bcdd\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":0.35},\"id\":\"12e27838-2762-494d-9c56-8619f5f9ea11\",\"type\":\"Range1d\"},{\"attributes\":{\"plot\":{\"id\":\"e469c057-dbe8-49f1-832c-cfb1512ebc79\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5ce3dabb-834a-400a-88ec-432bcd7d74bd\",\"type\":\"BasicTicker\"}},\"id\":\"8a93af93-a7be-4f4d-8861-89f407372ca6\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"4bbe82e9-89fc-446a-a7c3-7378714ec203\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"6555c03d-c583-4b10-96e0-9990dce81abb\",\"type\":\"HoverTool\"}]},\"id\":\"05a37bbe-e959-4903-ba2e-1230bd6bcc5e\",\"type\":\"Toolbar\"},{\"attributes\":{\"plot\":null,\"text\":\"SERC 30.2% to 32.1% Nuclear\"},\"id\":\"94e1701f-8ddb-43cd-bbbd-b5ce2d7feed1\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"5ce3dabb-834a-400a-88ec-432bcd7d74bd\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"952d5e6c-3903-4f5d-9f9c-3ab442cbb03c\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"percent Nuclear\",\"formatter\":{\"id\":\"0509e9fa-4a4e-46c3-be8f-c8ce1bd7c5b3\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"e469c057-dbe8-49f1-832c-cfb1512ebc79\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5ce3dabb-834a-400a-88ec-432bcd7d74bd\",\"type\":\"BasicTicker\"}},\"id\":\"f6751865-9c9c-47c4-a6a6-e86051d25d7e\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"68921144-5ebe-4015-bf01-6b66a3ecf474\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"c26d4340-9211-4e85-beb2-fc6e36321daf\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"f0b7313d-2247-43aa-8a98-db8bfbf65e97\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"f9a6b309-f436-4ea8-a941-96afde8f26e1\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1495215e-204d-4188-a292-4d4a12acf270\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"e9e60c6d-ea46-4bf2-8f4a-0796d9bd6cae\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"a9b4a085-5a38-4867-bf11-24c2a9fe6b3a\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"4bbe82e9-89fc-446a-a7c3-7378714ec203\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"84b7043e-85fb-48d5-b071-e86c73f02aef\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"bf3249ab-166f-4a44-8797-b6695e3ab9db\",\"type\":\"BasicTicker\"}},\"id\":\"f4648e7f-7e18-43f8-a51b-4f731ea271e0\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"2562f109-d8a7-48da-a996-3e39a6266930\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"293edf12-a868-4e90-b4d6-d5cc73772050\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"below\":[{\"id\":\"0b62271b-0e93-4301-82c8-966fc58f8b13\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"aca38128-d266-410a-9ad8-d09a313055b1\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"0b62271b-0e93-4301-82c8-966fc58f8b13\",\"type\":\"LinearAxis\"},{\"id\":\"f25025f3-2be1-4204-9e2e-5aba1ec933de\",\"type\":\"Grid\"},{\"id\":\"aca38128-d266-410a-9ad8-d09a313055b1\",\"type\":\"LinearAxis\"},{\"id\":\"7f1cdf8d-61b9-40f4-bd68-e80e4720b2ce\",\"type\":\"Grid\"},{\"id\":\"820cbecd-7991-4860-9ec2-0e12492bd966\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"c8803707-fb13-4ecd-93d3-9bd253d006f0\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"d57a041f-b5b6-4c20-8f5a-f1defdad8e37\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"852a7819-d212-4861-ac8f-faf2db9244a5\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"1a6b39c7-3adf-43d9-9690-12d767ae37ca\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"12a2122e-b241-47fb-ad16-ce378147d79b\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"426d73bb-a844-4d8a-9d18-8e22ccc8761a\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"26ea907b-482d-458b-aa50-029441680789\",\"type\":\"LinearScale\"}},\"id\":\"fd5155a3-30bd-4191-952b-6ae3afdfe966\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"93005cfc-e3ef-41eb-a43d-aaac7b582b7d\",\"type\":\"ToolEvents\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"73e0134d-25d8-471c-84c6-eb8fb3782eba\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"c561213c-37fc-49ed-b7ce-2c170bfd770e\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"8f654792-0a08-471a-8433-a9e3c4e189d2\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwpgSQUj7Mi/FZjsE404yL8smK67Nz3Iv4PlNG8OT8u/ayM9chIPyr/9o/d8jAXLvwc21XFtEsu/9nDEvFOBy78GFA4ilN3Pv06XJcjWCtC/H0DK0Gkrlr9CnqBNA37RP9+1FtJtcNo/b/MDsY4l4D8VHixJo+XhP1cVjL57rtk/hogEuERJ1T8ixhGMnxrUP2kM2wOAsNE/Or4yVhLSyD8WIx8YrSHPPwpbTAM4stM/f61vVdFu0z+HtlQXvT7RPyvfJsr7vMo/lue7ODsYyT8YmpfpjFDTP1Td+4K08us/FVHtlJHK6j+cEQal883oP91iZ1d/+eQ/56k18VRt5T+4Q+gkvWfnP5o2z09JdOg/i3IKQQno4T92zpcUur7dP5IEkuhgt8k/40ID8xhbdD8B8unWKAKBv7eVNf77IMS/h2VnN3ytyr9m/rlHOWnKvx1rSB83LcK/R2n2mJQfur/hErffgqGZv8hJ4ro7+Za/tJPoaNajzD/TL3tRJHrVP2arMruartM/F1hUJKVD3D8L7Zs5B9bbPxRMScXsh+M/ui4Rm6Kn6z/TRJhR6zrvP+Ha15xKGPA/SMmOZDJX8D8iLEea87TwPzTGrW3rtPA/+u19XJyy7z9rSknf8JfqPxJad59lpOg/nZwlLbXO2z+g0CVY48raP0eauKXVcdo/DgQCloWR1T9tA+cDDI7OP6Zq8EYZR8k/BPY+U0TOxz+fC1TFPsDPP/uK1mijHtQ/T0E1gsc8hD/TSq3WfRaIP3unNSu7i6w/XY0aXzdCsD/I3FLYYnGqP4iXr59BANo/TtZbUc4u4j9ZggE3US/iP+ebBcgpLeI/iUWgJOir4j9I576TYajhP/BUpJawd+U/LG22kab/5j8JO+ctJXbnP8wsFWpu1uc/YlM3d5Mk6j/CGNI/1ojxP+6V4r3NQPo/cFgoA0+E+z8OoaU9k4P8P93iFr1uBf4/FTodlhP5/T/h+hDU1fD8P8uSi3W0NfY/0pqa0Jt+7D8QzQrAtjXnP5enZoi3bOE/fCrY/RPx2z+xKiuW9S3eP7TItxRR3cw/l/XEn0vZyD966RoHSW3IP/uAJJR6n88/zI2WJJ/L2T9UI2vXL9fgP5maNP58POM/bVk9sPux4j8dy5pRHXDiP6OFv3i1AuI/IFIgbWic5D+jW77TCMvfP8KCd9BqbLY/pXjQujRft7/7nJRl/ZfGv3Peikbv5bq/pvDQbUe4vb8mVp7XC8PDvxFDrU/YzMa/eTv6XtaCx7+NgA7bJ3XHP4YfD8TXTdE/leHTNUkp5z+lkN829HzxP+oQdZJylvo/Gq7hH8PvAEAxjZHdensBQI9bfuiNAAFA1qBpsPY4/z/muHOmrjH9P78G3mG8VPo/sZK1crK8+j8c6DztHtz8P5aPYbZ0Yf0/qmjrJM7J/D9A3MVcyhr8P4qVOZIOyvg/9ixm2O6u8D9fWB3ZqzjtP8Xygk/qlO4/7AgUtaNe8T/N0zXCRZzyPxZtktMwBPQ/wCz2IWjp8j+zEl7OCmLzP1qdMpWEH/I/f3J14I4F8z8S15ZupHryP2rQG64vePE/WCQ4j+g77j/aVTzWrjHrP5Iexd7Hl+0/RdfBEATP6j9jgH/Tm6nmP1ZTf0rec+E/Z1JwpysV5D81lPNxatHrPwNv/0Thx/E/rcdfOHy79T92kD4kIUL8P7TK0qAR1wNAN+anDnxBCECyOR/cXeQHQN49wg4JFAhAtORuIPwUBUCnCHDGVlADQPi1/kNNUABAN28yeLvx/j+re/atvfUAQBH5hDd05ARAJtUnnsHsBkCY2tgxqfwNQGJeTT/tGhRA1/1yLIJ2FUCIdV5bQ3kVQNiar3kODxVAfhqF8g5XFEBUc3Vp8LkTQMJU53jQwhNAOkFBvuSZE0DKk7zm4ZgTQIulYVQWbBNAITVwQmIlE0CVEi8BClARQFdaKEgmEwlA\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"f9fc2807-51f0-479b-bf97-e698383b79b4\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"below\":[{\"id\":\"de29580b-6fea-47ce-8876-9813075e0f46\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"f4648e7f-7e18-43f8-a51b-4f731ea271e0\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"de29580b-6fea-47ce-8876-9813075e0f46\",\"type\":\"LinearAxis\"},{\"id\":\"4a18f06f-3da1-47aa-8f5b-27a8a7ff81ea\",\"type\":\"Grid\"},{\"id\":\"f4648e7f-7e18-43f8-a51b-4f731ea271e0\",\"type\":\"LinearAxis\"},{\"id\":\"955d11f8-4f3b-4f18-a7c7-791cc2d352f7\",\"type\":\"Grid\"},{\"id\":\"10e9f5c9-71f8-46cb-91d0-03c479f79b10\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"53ff39b5-a492-4ccb-9e3e-2ea7e0cdacf1\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"9edc0d6a-d3f5-4bfb-b8eb-f281ef7c0b9e\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"87c99111-b50a-4434-a153-6616b3c7b833\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"e60f584a-b76d-4ee1-b28b-6ea8d1b0d1f6\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"b5a7f12e-a7ab-48d1-a85f-b124c878def6\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"d60fba05-bf5a-43b3-ba96-8b878c8b8e98\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"65c103e6-b6ef-4075-bc12-e0dd2f1f8310\",\"type\":\"LinearScale\"}},\"id\":\"84b7043e-85fb-48d5-b071-e86c73f02aef\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"62072f30-ef06-40f9-9b43-28b4505c6fed\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"9edc0d6a-d3f5-4bfb-b8eb-f281ef7c0b9e\",\"type\":\"ToolEvents\"},{\"attributes\":{\"children\":[{\"id\":\"ccd66ca1-9112-4edd-b046-d04971ac3d7d\",\"type\":\"Row\"},{\"id\":\"73f4f47d-0d0a-48b0-b057-10103a9c8a95\",\"type\":\"Row\"},{\"id\":\"3ea03c3f-94ca-4cad-882e-91e33efff516\",\"type\":\"Row\"}]},\"id\":\"517dc53a-ea40-468d-97a2-03ba3b85c1aa\",\"type\":\"Column\"},{\"attributes\":{},\"id\":\"55f764ae-5a55-4bcb-90a4-cdf2c655c31f\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"percent Nuclear\",\"formatter\":{\"id\":\"acacb611-1f91-4c8a-85c9-a0ea5d929741\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"3de85bf6-1ce5-41d3-b44d-abe5988e2c32\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8f654792-0a08-471a-8433-a9e3c4e189d2\",\"type\":\"BasicTicker\"}},\"id\":\"faedd5c7-80b8-4cf1-9a7b-91dfde60d08c\",\"type\":\"LinearAxis\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"af85d8df-2f54-4629-a503-dd4999b6dff1\",\"type\":\"HoverTool\"}]},\"id\":\"87c99111-b50a-4434-a153-6616b3c7b833\",\"type\":\"Toolbar\"},{\"attributes\":{\"below\":[{\"id\":\"faedd5c7-80b8-4cf1-9a7b-91dfde60d08c\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"a1c635c2-9b6a-4a73-8576-9385a5ccd967\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"faedd5c7-80b8-4cf1-9a7b-91dfde60d08c\",\"type\":\"LinearAxis\"},{\"id\":\"e34e8857-6c64-45e0-8059-bdfa6d867ac4\",\"type\":\"Grid\"},{\"id\":\"a1c635c2-9b6a-4a73-8576-9385a5ccd967\",\"type\":\"LinearAxis\"},{\"id\":\"203aac93-24f7-4159-85df-5629c7357f4a\",\"type\":\"Grid\"},{\"id\":\"23e03293-f67f-4db4-9cfc-160b81738adb\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"a300dab3-5277-4686-b847-235965a0d60f\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"47dd6e86-e682-4805-a431-ce94316e4375\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"05a37bbe-e959-4903-ba2e-1230bd6bcc5e\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"99f52a6e-1fd5-4871-89d3-8eda4e76a6b3\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"98162914-bdda-412a-860e-8c20ce0a0731\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"0b6efbc6-06ad-44f2-bc57-86633a874b24\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"21e51952-e6d9-432d-8d88-26801c0c0194\",\"type\":\"LinearScale\"}},\"id\":\"3de85bf6-1ce5-41d3-b44d-abe5988e2c32\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"65c103e6-b6ef-4075-bc12-e0dd2f1f8310\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":null,\"text\":\"RFC 19.4% to 22.3% Nuclear\"},\"id\":\"86f1b513-3f98-49f1-bd8b-9d4ffe38e302\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"852b98ca-65ef-4685-a0e1-49a4dc34a031\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"b410f0f0-1870-4d93-8f8a-b0eded1268fa\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"20879e8a-ceca-432c-a8fe-9f245970efa9\",\"type\":\"ToolEvents\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"84b7043e-85fb-48d5-b071-e86c73f02aef\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"bf3249ab-166f-4a44-8797-b6695e3ab9db\",\"type\":\"BasicTicker\"}},\"id\":\"955d11f8-4f3b-4f18-a7c7-791cc2d352f7\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"0b963679-8c60-4a82-8a2a-8e6c95ffef0e\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"below\":[{\"id\":\"c0cf3f07-ea38-4d7a-9742-47a923af9454\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"465288a2-805c-42c4-b54a-7409e6787eec\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"c0cf3f07-ea38-4d7a-9742-47a923af9454\",\"type\":\"LinearAxis\"},{\"id\":\"5a6b31fb-8132-4583-bb95-7dabe31876f1\",\"type\":\"Grid\"},{\"id\":\"465288a2-805c-42c4-b54a-7409e6787eec\",\"type\":\"LinearAxis\"},{\"id\":\"752759d9-bb9d-4fb3-9ed8-6e6cd913f891\",\"type\":\"Grid\"},{\"id\":\"1c45c14a-3929-435a-8def-35cce60b667f\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"86f1b513-3f98-49f1-bd8b-9d4ffe38e302\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"20879e8a-ceca-432c-a8fe-9f245970efa9\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"cf4e7c10-a53a-400b-b60c-f2ddd4c6213e\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"77284d54-47ff-4b6e-aaac-287e65c3e63f\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"b7fb8959-402f-425b-b0ca-04fa606804e3\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"1af32596-4bd3-486f-9a82-57a7dc39f542\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"2d6ac0c5-51e1-4d9b-9e15-7f3534da7842\",\"type\":\"LinearScale\"}},\"id\":\"0ae67256-c562-4014-b0e4-7fe7ca3e0cff\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis_label\":\"percent Nuclear\",\"formatter\":{\"id\":\"852b98ca-65ef-4685-a0e1-49a4dc34a031\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"fd5155a3-30bd-4191-952b-6ae3afdfe966\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f6000c83-cafc-4a11-84b8-42c2cf977a77\",\"type\":\"BasicTicker\"}},\"id\":\"0b62271b-0e93-4301-82c8-966fc58f8b13\",\"type\":\"LinearAxis\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"937793d1-8e87-4d17-a959-37b973229d36\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"14a82ce6-e8bc-410d-8894-d667990efb13\",\"type\":\"BasicTicker\"}},\"id\":\"e4c6619c-4cce-4fe4-a4c0-cd149aed53fb\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"426d73bb-a844-4d8a-9d18-8e22ccc8761a\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"1b72d872-57c0-4e6b-8633-8ed3e8ee381e\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":null,\"text\":\"SPP 7.7% to 6.6% Nuclear\"},\"id\":\"ab75ec8c-c220-4564-92a3-1074927d38a8\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"59bd17b7-26ba-4273-a224-45cfb18476fc\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"a67344c5-2188-4d4d-a344-3977db984744\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"1975fb6f-3c4f-4134-be7a-9cd95375852a\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"cdbe61c9-cdb7-4105-8979-18b62f15da64\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"a38c7c95-7aed-41ef-a5b8-57321f95bcdd\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"bb641b77-359b-45e8-b959-918b2d0cb2f0\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"1c45c14a-3929-435a-8def-35cce60b667f\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"plot\":{\"id\":\"3de85bf6-1ce5-41d3-b44d-abe5988e2c32\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8f654792-0a08-471a-8433-a9e3c4e189d2\",\"type\":\"BasicTicker\"}},\"id\":\"e34e8857-6c64-45e0-8059-bdfa6d867ac4\",\"type\":\"Grid\"},{\"attributes\":{\"sizing_mode\":\"scale_width\",\"toolbar_location\":\"above\",\"tools\":[{\"id\":\"af85d8df-2f54-4629-a503-dd4999b6dff1\",\"type\":\"HoverTool\"},{\"id\":\"c561213c-37fc-49ed-b7ce-2c170bfd770e\",\"type\":\"HoverTool\"},{\"id\":\"d05ff4a2-14b4-414f-836b-2a7566813af8\",\"type\":\"HoverTool\"},{\"id\":\"6555c03d-c583-4b10-96e0-9990dce81abb\",\"type\":\"HoverTool\"},{\"id\":\"7d6c74dc-e31b-478c-adb3-8b47fd74731d\",\"type\":\"HoverTool\"},{\"id\":\"f6b14e9b-97e4-47c3-a156-25d0bddf6d7c\",\"type\":\"HoverTool\"},{\"id\":\"a0077847-1e58-492c-9ff5-0268ab1eadd9\",\"type\":\"HoverTool\"},{\"id\":\"4f6e47b0-5738-4269-a846-fd6b3fa4da48\",\"type\":\"HoverTool\"}]},\"id\":\"823989d8-49c0-42f0-90cc-1ee3a09ff850\",\"type\":\"ToolbarBox\"},{\"attributes\":{\"below\":[{\"id\":\"f6751865-9c9c-47c4-a6a6-e86051d25d7e\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"c210b2cc-8b27-47a5-807a-a7f527eb3cee\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"f6751865-9c9c-47c4-a6a6-e86051d25d7e\",\"type\":\"LinearAxis\"},{\"id\":\"8a93af93-a7be-4f4d-8861-89f407372ca6\",\"type\":\"Grid\"},{\"id\":\"c210b2cc-8b27-47a5-807a-a7f527eb3cee\",\"type\":\"LinearAxis\"},{\"id\":\"99ac9ce8-b87b-44ff-a029-72aae7e4002f\",\"type\":\"Grid\"},{\"id\":\"e9e60c6d-ea46-4bf2-8f4a-0796d9bd6cae\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"ab75ec8c-c220-4564-92a3-1074927d38a8\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"c4939343-7c5b-495d-a89a-2ffe95496ae2\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"7c402ee2-1941-47da-b5ea-9df4c59065df\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"12e27838-2762-494d-9c56-8619f5f9ea11\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"59bd17b7-26ba-4273-a224-45cfb18476fc\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"a67344c5-2188-4d4d-a344-3977db984744\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"df6b1278-18cd-4b2e-bb08-c2ff617b6001\",\"type\":\"LinearScale\"}},\"id\":\"e469c057-dbe8-49f1-832c-cfb1512ebc79\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"d4843163-93cd-4f6d-ab0f-989728db5568\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4f/TrbsIzEME/BsERHNXlwj/wAJIE+0PPP+94y7k7C9k/Dhu/UpbA3D/PJxmThcTVPxVIKp2a4NU/t6e0uolpxz8gIH0KeoKjP79pzLN1gKM/zR5l8DNnzL87if18jOGuv4NgP2gA0rS/SC4xs8gBuL8Hv02hVIOzv5DDi7gcnKm/G1CclwAOnj/VYWm7YRp0PzxXkk4Kk38/i6PNPRu7tb82Q8LRW9fAv2Tj1C89VcW/zsrb4Aeb1j9FRFtz9D3hP8RupuCDZ+I/KvdC9Chn4z/mioOQndTnP94Fbs4CGus/6BF0Xzdg7j8wimuhvrPrP1PBk+Nx1+o/mMQAOTSa6T+CS2kW/njoP9Bb5Zmb++c/m8XvxVGmzL/IF3BqJJDVv1kWVCo6mNK/kWbKVjHE0r+KWcTuv4jSvyuTg5NJF4e/2jwLXR4McD8Y/zP4MkOTP23ZycJIMpM/gOhthdJcmj8FC8OG2uuGP6UiuMw0PZe/cjLRryzxsD9rhyvJB//HP0ZNu5z7ONI//fmeOuth0j9LNRI9Y4PTP3HpCCAXfMg/pvXihcSjzz975ZzrxwjOP4i+DRtBOdA/o1+xJ4i1zz/Bk+LrVLfPPyDRJtX8OtI/HQEZEPsY0j/2ewZFf4y9PzqC1O+y7NG/1SWR72W81L+/yivuYkvUvyITzTLZNc+/5BA0jxN9yL8075QlA7HMv4IM9xfnbc2/oHYbvFNB0b9clBJLTRHRv+hqE6n7ktC/+LPoKpmB0L8ILIt9C53Qv5Hc6lkkxtC/CNf71eOMzr8CYpePa8fMvy4G1w43NMu/0zYihsXrub9XnRkLM4zAvzQzKXKW5L+/F8nNrBbmxL9NrITKtNXRv9WqC4pmmdO/UzxCwqKN27+GZkN+T3DXv2Yflp/ecdm/vhZulHAP17/YD8CQEa29vy5dWm1NJsg/rh2l6Ncm0D/AOJWfBSvFPwq6fn+9u8A/5O6Sliv0oD/EPEm2y7ikvwUh7saLjq2/N5YBRUv4uL+KdB1JE9+Dv3CKixa2w7E/KxMeamD5zz8PsF+ICyrOP5iu9M8dnMs/viVGI7TDzD+5KJSogr3TP5+UoZxim9g/KLVQkIxH3T+9MRcNQAPdPyzSxmwzzdc/CSN7vtO62D/wVZ2WGWHSPy2mV23U9tQ/zIop2yZt0T9udbxwGjzTPyZyJrqHnso/vSLHSIkUwD8MVvPe/HywP13SpDDYhJQ/TdqtOBrPur9mwP27shrGv5Xyuy23+ba/SZoy0m1Gsj/nVnY+z2LYP3J+VXBNlM4/RC3CVrD80D89nbXHn5zXP2/kONBH0dc/3kQu/Cki0z94x1IrbkHBP0i147+Oma4/+r95bD/dq7+eGLim9NO3v5hXx1cYfqi/rfeRr6vEqr/pVWHrdfjFv6yFHW+QfcI/qSOUpk35zD+JYUDQEZrUP1iRbSpLYdQ/8dgA/Ato1D8pxs/W0lnUP7NK0+Fmo9M/Xez5w7Y5zT813AXd6VytP1JenMMzkri/fQPEbPbcwL/8ZsN+54C8vw+s5H/F4tC/1pB31pRx1b+aOcjXAOHYvywlhAta4dq/D/7/crWh2r+kf/fT+tvZvy5KaAZzEtm/WGGi7mKv2b8rEpTFLRTZv/AWj1ZpAti/sEnK00k50r+7zaftd9HVvyj6yAH/Fdq/thpEWx0Rsz8tCr6EjzasP+sspDwmJsY/lg4aJ6ejwT+3jJhHsifBPxIR0RhKA7Q/dS/Y20EInj+BZk35wySmv1qM7Ygfl52/BEBVY7dsnb8S0msFxXeqvxxhUb/Qprs/rk141bLD0T/fhID21QXkP/eYtSSVyek/9nOHMhZ+6j/UdixyqE3pP93krlWbG+c/pRB+enBR5z+N4DjWY7roP8+D3Sz17OU/zXk4emCo5D8ReDnYvqTlP6bSe7wvo+U/AZQ+FuQy4z+FssxnNArZP7GrP2Of8so/\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"0def9388-656f-4f80-8204-416c1506065c\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"children\":[{\"id\":\"84b7043e-85fb-48d5-b071-e86c73f02aef\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"73e0134d-25d8-471c-84c6-eb8fb3782eba\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"937793d1-8e87-4d17-a959-37b973229d36\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"ccd66ca1-9112-4edd-b046-d04971ac3d7d\",\"type\":\"Row\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"0ae67256-c562-4014-b0e4-7fe7ca3e0cff\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a498af2b-37c0-4979-96cd-cddec3032d47\",\"type\":\"BasicTicker\"}},\"id\":\"752759d9-bb9d-4fb3-9ed8-6e6cd913f891\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"end\":0.35},\"id\":\"2dded424-7de3-42f0-9090-79d948af0897\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"AACA5vR4bEIAAACL6YxsQgAAAM3vnmxCAACAceSybEIAAIBKNMZsQgAAAO8o2mxCAAAAyHjtbEIAAIBsbQFtQgAAABFiFW1CAAAA6rEobUIAAICOpjxtQgAAgGf2T21CAAAADOtjbUIAAICw33dtQgAAgPLliW1CAAAAl9qdbUIAAABwKrFtQgAAgBQfxW1CAACA7W7YbUIAAACSY+xtQgAAgDZYAG5CAACAD6gTbkIAAAC0nCduQgAAAI3sOm5CAACAMeFObkIAAADW1WJuQgAAABjcdG5CAACAvNCIbkIAAICVIJxuQgAAADoVsG5CAAAAE2XDbkIAAIC3WdduQgAAAFxO625CAAAANZ7+bkIAAIDZkhJvQgAAgLLiJW9CAAAAV9c5b0IAAID7y01vQgAAAAl3YG9CAACArWt0b0IAAICGu4dvQgAAACuwm29CAAAABACvb0IAAICo9MJvQgAAAE3p1m9CAAAAJjnqb0IAAIDKLf5vQgAAwNG+CHBCAAAAJLkScEIAAEB2sxxwQgAAQJe2JXBCAACA6bAvcEIAAADWWDlwQgAAQChTQ3BCAADAFPtMcEIAAABn9VZwQgAAQLnvYHBCAADApZdqcEIAAAD4kXRwQgAAgOQ5fnBCAADANjSIcEIAAACJLpJwQgAAAKoxm3BCAABA/CulcEIAAMDo065wQgAAADvOuHBCAACAJ3bCcEIAAMB5cMxwQgAAAMxq1nBCAACAuBLgcEIAAMAKDepwQgAAQPe083BCAACASa/9cEIAAMCbqQdxQgAAwLysEHFCAAAAD6cacUIAAID7TiRxQgAAwE1JLnFCAABAOvE3cUIAAICM60FxQgAAwN7lS3FCAABAy41VcUIAAIAdiF9xQgAAAAowaXFCAABAXCpzcUIAAICuJH1xQgAAQDV6hnFCAACAh3SQcUIAAAB0HJpxQgAAQMYWpHFCAADAsr6tcUIAAAAFubdxQgAAQFezwXFCAADAQ1vLcUIAAACWVdVxQgAAgIL93nFCAADA1PfocUIAAAAn8vJxQgAAAEj1+3FCAABAmu8FckIAAMCGlw9yQgAAANmRGXJCAACAxTkjckIAAMAXNC1yQgAAAGouN3JCAACAVtZAckIAAMCo0EpyQgAAQJV4VHJCAACA53JeckIAAMA5bWhyQgAAwFpwcXJCAAAArWp7ckIAAICZEoVyQgAAwOsMj3JCAABA2LSYckIAAIAqr6JyQgAAwHyprHJCAABAaVG2ckIAAIC7S8ByQgAAAKjzyXJCAABA+u3TckIAAIBM6N1yQgAAgG3r5nJCAADAv+XwckIAAECsjfpyQgAAgP6HBHNCAAAA6y8Oc0IAAEA9KhhzQgAAgI8kInNCAAAAfMwrc0IAAEDOxjVzQgAAwLpuP3NCAAAADWlJc0IAAEBfY1NzQgAAAOa4XHNCAABAOLNmc0IAAMAkW3BzQgAAAHdVenNCAACAY/2Dc0IAAMC1941zQgAAAAjyl3NCAACA9Jmhc0IAAMBGlKtzQgAAQDM8tXNCAACAhTa/c0IAAMDXMMlzQgAAwPgz0nNCAAAASy7cc0IAAIA31uVzQgAAwInQ73NCAABAdnj5c0IAAIDIcgN0QgAAwBptDXRCAABABxUXdEIAAIBZDyF0QgAAAEa3KnRCAABAmLE0dEIAAIDqqz50QgAAgAuvR3RCAADAXalRdEIAAEBKUVt0QgAAgJxLZXRCAAAAifNudEIAAEDb7Xh0QgAAgC3ognRCAAAAGpCMdEIAAEBsipZ0QgAAwFgyoHRCAAAAqyyqdEIAAED9JrR0QgAAQB4qvXRCAACAcCTHdEIAAABdzNB0QgAAQK/G2nRCAADAm27kdEIAAADuaO50QgAAQEBj+HRCAADALAsCdUIAAAB/BQx1QgAAgGutFXVCAADAvacfdUIAAAAQoil1QgAAwJb3MnVCAAAA6fE8dUIAAIDVmUZ1QgAAwCeUUHVCAABAFDxadUIAAIBmNmR1QgAAwLgwbnVCAABApdh3dUIAAID30oF1QgAAAOR6i3VCAABANnWVdUIAAICIb591QgAAgKlyqHVC\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4f3m84t3paJY/8dtwOujIuz/p9mBHfWjAP14gACtixL8/rLlZ+oQBvz+H0bv1sl28P1HnQgVhUMw/JKpihh1yxz/LGshVKULKP/Q7Om7ooMQ/6fVoBKodwz8ONJFIPObBPwuwDJ3xBZG/L2tZHXTbtr+86NR6UdjGv38snwU6lMm/hRyOV8r2z7+5eq9Xrc3Sv9yEAKVEDNa/VeG0Ingj1b8Tdr3tdjbXv8CR/6r+7tW/nUhGnOWQ1b/ihjTLRobcvxDTQNKOF9u/nqvzY9Vr27/TmpDAQCTRv94YOoGX7MC/dbjO51j+1T9qX5sLk7rcP5akVLdrXt8/LBoxRTpg2j+9xsP0fMTVPxQyltBFL7w/2bQSxQq5oT/Jd9kmKw29vzc2nwp1usK/qoH9VbLgy7+P6E8JNdPMv918Yqr1PMm/ot56go08yr8xQ1jOrJO2PxxbqZqO+bY/HUfIkbrVuT/v3jQnxhC7P0S61xteK74/fQSQe7mRvT93D+dYSoe/P+f4Bwa3oro/wqjTqZb5pT+uW1LBMUekP5fE3Z30msI/CpdnP1YemD8VrQ3OmebSv24zDfT218+/5ywfH89U0L9BQE2qX/vQv9u2X1BEyNC/O5yO/tmo0b9xfvVcXtnOv/y9mK4sYMO/kG/IZCinvr/nDNPCQWC/vyNxFGBT3di/lI0h4cOb2r8r9Hx4af3Zv0oIs8JD+ta/ZYDOKBdE0b9ZzKG45ZHSv6Wnl7xduMW/4h9JTa0yrz8816lmvl6ZP+yEVQtFAqy/cDWI2N84wL8WbwExdCTAv+baVPiX0cC/H889x65Bsb9eLXLynUanvy07t/6+75O/m3FXiZ8eqL+G/u3KSE2nv5MJoUmEcb2/J/vCWub+3r8kBHU7ASvav09znYKmvta/MHWVNBnN2L9kh2X0V3HRv3/RE6lYDcu/a2wdBos9xL8uNjpQ/UjEPzImKjLKtMc/z7dY8I9uwj+uUhPUIdCWP1C/wqm5q9M/PldY5vJD0D/rRHC7EbrRP+I/Jt3VMtA/1EV8NUo6yz+vIVi/OvjOPx3bKdedA9I/uXK5zIg/uD+jisXjaJGyP0dJ10cEMdE/uUICkXM02j8oviVYsmfeP4nBHl6Igs8/XbNkmvRu0j/d170XmUHVPym+mJb9xdk/Qnc+DIcQ2T/wK51A3s7bP2TRYM4n2eg/aijeOABB8D9NjrYDMWvwP4jG4fV5Me4/XBB1Tm9z6j86LYkfklfmPzEY1So+OuY/SprSTnbE6D9X6nuAGQrwPxTW8VgxYPc/xDR71UTW/T9qyKhkpkECQMLbjUKK7QRAY6zF26wbBkCK8T0kx98FQFiXxL1A+wJA6Ajrq/0eAUCRE9MrHDH+P1ny6p0pfvo/rULM2XjZ+T8C2RCFSAv7PzYwrcbGcfo/5KitsCCk+D8m1YbHIyj1P8NAhjsXoPA/ovVD+Jh48D9qGY5oYZ7wP8Xa+zdwLPA/ZLUF7sgu5j+kq2gNseTdP0fxIhe91uA/vI8LoV3C1z/tLCJhxdrbP1U4pZ8QGtw/6J9qd0+53j9nuzXlEHbiPxfEHVIYiOE/Ia8Q31Im5T+m2ZfEtgPrP3hpD5ycYuk/E6KGTUL25z9p0Fn6enHnP/YBjP5AgOU/AKwOyaxP8D+xqOkKxLfwPylSMHwvgfQ/yOlSlqfN8z+y/uXpbejtP8Q45fzBN+4/xT5X7zfw+j+dcAPidgf8P2FjPvY0u/k/KuKYRmWG9T8NDWjPt2DxP2iw8nuzKe4/asv7+Hyk9D8qIhIyyOL4P/KRVy3e3QFAYpySgbDgAUBe4KIVoEv+PzzVkDAZtwNAfX5KooJYBECqKC5rsU8FQGULIF0jUARAgod3mmFzA0Cn2sV+10MCQO1XUGKRAgBA0Rk0a6hUAEBteOEG18wBQL+VVk3+kABAu/GAr5+JAED1x6Pn0e8BQCVnQHAqLgBA\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"cdbe61c9-cdb7-4105-8979-18b62f15da64\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"84b7043e-85fb-48d5-b071-e86c73f02aef\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"af85d8df-2f54-4629-a503-dd4999b6dff1\",\"type\":\"HoverTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"7fd76b44-71fc-44a2-a266-30b7c2c0174d\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"percent Nuclear\",\"formatter\":{\"id\":\"c64512ba-c83c-4480-b27b-3f3164b1ae46\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"73e0134d-25d8-471c-84c6-eb8fb3782eba\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"62072f30-ef06-40f9-9b43-28b4505c6fed\",\"type\":\"BasicTicker\"}},\"id\":\"032170da-1ae1-4273-b353-2730268cc4bc\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1495215e-204d-4188-a292-4d4a12acf270\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"c04183cf-6065-4934-9368-c9604629f826\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"3de85bf6-1ce5-41d3-b44d-abe5988e2c32\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9ebb3969-7805-4a9d-9552-3b196db8e227\",\"type\":\"BasicTicker\"}},\"id\":\"a1c635c2-9b6a-4a73-8576-9385a5ccd967\",\"type\":\"LinearAxis\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"f6b14e9b-97e4-47c3-a156-25d0bddf6d7c\",\"type\":\"HoverTool\"}]},\"id\":\"7c402ee2-1941-47da-b5ea-9df4c59065df\",\"type\":\"Toolbar\"},{\"attributes\":{\"data_source\":{\"id\":\"f9fc2807-51f0-479b-bf97-e698383b79b4\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"952d5e6c-3903-4f5d-9f9c-3ab442cbb03c\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"a3d23e95-9dec-4393-90f8-3f4573a78bd9\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"d09f5d8b-1f2a-4791-9fd3-ae95cb47b2e7\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"0a9ef96c-bd64-496f-a63f-b8ab2aef93e8\",\"type\":\"ToolEvents\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"3de85bf6-1ce5-41d3-b44d-abe5988e2c32\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"6555c03d-c583-4b10-96e0-9990dce81abb\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"df6b1278-18cd-4b2e-bb08-c2ff617b6001\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"AACA5vR4bEIAAACL6YxsQgAAAM3vnmxCAACAceSybEIAAIBKNMZsQgAAAO8o2mxCAAAAyHjtbEIAAIBsbQFtQgAAABFiFW1CAAAA6rEobUIAAICOpjxtQgAAgGf2T21CAAAADOtjbUIAAICw33dtQgAAgPLliW1CAAAAl9qdbUIAAABwKrFtQgAAgBQfxW1CAACA7W7YbUIAAACSY+xtQgAAgDZYAG5CAACAD6gTbkIAAAC0nCduQgAAAI3sOm5CAACAMeFObkIAAADW1WJuQgAAABjcdG5CAACAvNCIbkIAAICVIJxuQgAAADoVsG5CAAAAE2XDbkIAAIC3WdduQgAAAFxO625CAAAANZ7+bkIAAIDZkhJvQgAAgLLiJW9CAAAAV9c5b0IAAID7y01vQgAAAAl3YG9CAACArWt0b0IAAICGu4dvQgAAACuwm29CAAAABACvb0IAAICo9MJvQgAAAE3p1m9CAAAAJjnqb0IAAIDKLf5vQgAAwNG+CHBCAAAAJLkScEIAAEB2sxxwQgAAQJe2JXBCAACA6bAvcEIAAADWWDlwQgAAQChTQ3BCAADAFPtMcEIAAABn9VZwQgAAQLnvYHBCAADApZdqcEIAAAD4kXRwQgAAgOQ5fnBCAADANjSIcEIAAACJLpJwQgAAAKoxm3BCAABA/CulcEIAAMDo065wQgAAADvOuHBCAACAJ3bCcEIAAMB5cMxwQgAAAMxq1nBCAACAuBLgcEIAAMAKDepwQgAAQPe083BCAACASa/9cEIAAMCbqQdxQgAAwLysEHFCAAAAD6cacUIAAID7TiRxQgAAwE1JLnFCAABAOvE3cUIAAICM60FxQgAAwN7lS3FCAABAy41VcUIAAIAdiF9xQgAAAAowaXFCAABAXCpzcUIAAICuJH1xQgAAQDV6hnFCAACAh3SQcUIAAAB0HJpxQgAAQMYWpHFCAADAsr6tcUIAAAAFubdxQgAAQFezwXFCAADAQ1vLcUIAAACWVdVxQgAAgIL93nFCAADA1PfocUIAAAAn8vJxQgAAAEj1+3FCAABAmu8FckIAAMCGlw9yQgAAANmRGXJCAACAxTkjckIAAMAXNC1yQgAAAGouN3JCAACAVtZAckIAAMCo0EpyQgAAQJV4VHJCAACA53JeckIAAMA5bWhyQgAAwFpwcXJCAAAArWp7ckIAAICZEoVyQgAAwOsMj3JCAABA2LSYckIAAIAqr6JyQgAAwHyprHJCAABAaVG2ckIAAIC7S8ByQgAAAKjzyXJCAABA+u3TckIAAIBM6N1yQgAAgG3r5nJCAADAv+XwckIAAECsjfpyQgAAgP6HBHNCAAAA6y8Oc0IAAEA9KhhzQgAAgI8kInNCAAAAfMwrc0IAAEDOxjVzQgAAwLpuP3NCAAAADWlJc0IAAEBfY1NzQgAAAOa4XHNCAABAOLNmc0IAAMAkW3BzQgAAAHdVenNCAACAY/2Dc0IAAMC1941zQgAAAAjyl3NCAACA9Jmhc0IAAMBGlKtzQgAAQDM8tXNCAACAhTa/c0IAAMDXMMlzQgAAwPgz0nNCAAAASy7cc0IAAIA31uVzQgAAwInQ73NCAABAdnj5c0IAAIDIcgN0QgAAwBptDXRCAABABxUXdEIAAIBZDyF0QgAAAEa3KnRCAABAmLE0dEIAAIDqqz50QgAAgAuvR3RCAADAXalRdEIAAEBKUVt0QgAAgJxLZXRCAAAAifNudEIAAEDb7Xh0QgAAgC3ognRCAAAAGpCMdEIAAEBsipZ0QgAAwFgyoHRCAAAAqyyqdEIAAED9JrR0QgAAQB4qvXRCAACAcCTHdEIAAABdzNB0QgAAQK/G2nRCAADAm27kdEIAAADuaO50QgAAQEBj+HRCAADALAsCdUIAAAB/BQx1QgAAgGutFXVCAADAvacfdUIAAAAQoil1QgAAwJb3MnVCAAAA6fE8dUIAAIDVmUZ1QgAAwCeUUHVCAABAFDxadUIAAIBmNmR1QgAAwLgwbnVCAABApdh3dUIAAID30oF1QgAAAOR6i3VCAABANnWVdUIAAICIb591QgAAgKlyqHVC\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"0a4b4031-b39b-4fa2-808c-3ec823ea20c2\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"b7fb8959-402f-425b-b0ca-04fa606804e3\",\"type\":\"LinearScale\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"4f6e47b0-5738-4269-a846-fd6b3fa4da48\",\"type\":\"HoverTool\"}]},\"id\":\"8a31e0ea-3f33-4b89-b40a-336568f242af\",\"type\":\"Toolbar\"},{\"attributes\":{\"data_source\":{\"id\":\"a6a572b6-8b2d-4dba-b747-5eddf4e4f536\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"ff74705e-c49b-462b-8896-30874aee1201\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"fc8f3efd-08ae-4abf-b29a-7339cc6fa416\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"8a8c8773-523e-4d30-912f-a45c69c88bb0\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"9e81a0ea-1a4c-4f3c-828f-870692ca91aa\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"percent Nuclear\",\"formatter\":{\"id\":\"c3cc3290-30f1-44e4-92bc-f611ccdb9ab6\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"937793d1-8e87-4d17-a959-37b973229d36\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"c26d4340-9211-4e85-beb2-fc6e36321daf\",\"type\":\"BasicTicker\"}},\"id\":\"41e99e00-e7d9-4d51-a925-5084e831ab14\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"0b6efbc6-06ad-44f2-bc57-86633a874b24\",\"type\":\"Range1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"373567b5-534a-4140-9fd6-9e335aed79c4\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"f5d811ab-1110-4063-8295-05315c8a2123\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"f0b7313d-2247-43aa-8a98-db8bfbf65e97\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"9b84e9a6-12f2-4dfa-aef8-8d66c4e108c5\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"673c2f2b-67b5-43b5-a949-b9e2b1f81759\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"c4939343-7c5b-495d-a89a-2ffe95496ae2\",\"type\":\"ToolEvents\"},{\"attributes\":{\"below\":[{\"id\":\"41e99e00-e7d9-4d51-a925-5084e831ab14\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"0f9cf786-d8a6-4cca-b258-f7d091b44efe\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"41e99e00-e7d9-4d51-a925-5084e831ab14\",\"type\":\"LinearAxis\"},{\"id\":\"4477f108-bcd4-42e3-8397-ea1bd5c8bded\",\"type\":\"Grid\"},{\"id\":\"0f9cf786-d8a6-4cca-b258-f7d091b44efe\",\"type\":\"LinearAxis\"},{\"id\":\"e4c6619c-4cce-4fe4-a4c0-cd149aed53fb\",\"type\":\"Grid\"},{\"id\":\"2d0a89b7-fb4c-47e0-a503-19553bcc9d8a\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"8ae209ef-c68d-4a70-ac6a-6833dd16e8bc\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"93005cfc-e3ef-41eb-a43d-aaac7b582b7d\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"d7cf2bef-e0d6-4cfb-8625-6cf9c6de56f0\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"31f88266-e755-463d-b96d-a30353c1d237\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"1b72d872-57c0-4e6b-8633-8ed3e8ee381e\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"9b84e9a6-12f2-4dfa-aef8-8d66c4e108c5\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"f06cc1d6-eb56-4aa0-84f3-e9729b9275cf\",\"type\":\"LinearScale\"}},\"id\":\"937793d1-8e87-4d17-a959-37b973229d36\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"ff74705e-c49b-462b-8896-30874aee1201\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"2562f109-d8a7-48da-a996-3e39a6266930\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"0ae67256-c562-4014-b0e4-7fe7ca3e0cff\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a498af2b-37c0-4979-96cd-cddec3032d47\",\"type\":\"BasicTicker\"}},\"id\":\"465288a2-805c-42c4-b54a-7409e6787eec\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"c3cc3290-30f1-44e4-92bc-f611ccdb9ab6\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"73e0134d-25d8-471c-84c6-eb8fb3782eba\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d4843163-93cd-4f6d-ab0f-989728db5568\",\"type\":\"BasicTicker\"}},\"id\":\"10bee633-92c9-4e93-a4b5-f93fd99c656a\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":{\"id\":\"73e0134d-25d8-471c-84c6-eb8fb3782eba\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"62072f30-ef06-40f9-9b43-28b4505c6fed\",\"type\":\"BasicTicker\"}},\"id\":\"6107f90c-6c1b-46c0-a98a-8e025526ea1f\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"c64512ba-c83c-4480-b27b-3f3164b1ae46\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":{\"id\":\"0ae67256-c562-4014-b0e4-7fe7ca3e0cff\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"1975fb6f-3c4f-4134-be7a-9cd95375852a\",\"type\":\"BasicTicker\"}},\"id\":\"5a6b31fb-8132-4583-bb95-7dabe31876f1\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":null,\"text\":\"FRCC 13.1% to 12.3% Nuclear\"},\"id\":\"a300dab3-5277-4686-b847-235965a0d60f\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"5463348c-6856-4dda-b6f1-3dee61ffcad6\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"37c5fd4a-3222-482e-8bac-8b1e0ac2b554\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"373567b5-534a-4140-9fd6-9e335aed79c4\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"7fd76b44-71fc-44a2-a266-30b7c2c0174d\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"820cbecd-7991-4860-9ec2-0e12492bd966\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"bb641b77-359b-45e8-b959-918b2d0cb2f0\",\"type\":\"Circle\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"7d6c74dc-e31b-478c-adb3-8b47fd74731d\",\"type\":\"HoverTool\"}]},\"id\":\"cf4e7c10-a53a-400b-b60c-f2ddd4c6213e\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"937793d1-8e87-4d17-a959-37b973229d36\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"d05ff4a2-14b4-414f-836b-2a7566813af8\",\"type\":\"HoverTool\"},{\"attributes\":{\"axis_label\":\"percent Nuclear\",\"formatter\":{\"id\":\"e0dce708-fc6b-4bcf-92de-152753224108\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"0ae67256-c562-4014-b0e4-7fe7ca3e0cff\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"1975fb6f-3c4f-4134-be7a-9cd95375852a\",\"type\":\"BasicTicker\"}},\"id\":\"c0cf3f07-ea38-4d7a-9742-47a923af9454\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"21e51952-e6d9-432d-8d88-26801c0c0194\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"0a3d89bc-4c0c-4a94-8fdb-ee4c2b585c23\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":0.35},\"id\":\"e60f584a-b76d-4ee1-b28b-6ea8d1b0d1f6\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"c04183cf-6065-4934-9368-c9604629f826\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"37c5fd4a-3222-482e-8bac-8b1e0ac2b554\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"f6000c83-cafc-4a11-84b8-42c2cf977a77\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis_label\":\"percent Nuclear\",\"formatter\":{\"id\":\"b410f0f0-1870-4d93-8f8a-b0eded1268fa\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"782944a3-a84b-402e-9429-d21c11954706\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"ff85813e-4df3-40f1-bf64-13b24ff34c5d\",\"type\":\"BasicTicker\"}},\"id\":\"9917dea4-787f-451c-a3ea-4e45ff52825b\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"fd5155a3-30bd-4191-952b-6ae3afdfe966\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"a0077847-1e58-492c-9ff5-0268ab1eadd9\",\"type\":\"HoverTool\"},{\"attributes\":{\"plot\":{\"id\":\"84b7043e-85fb-48d5-b071-e86c73f02aef\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f5d811ab-1110-4063-8295-05315c8a2123\",\"type\":\"BasicTicker\"}},\"id\":\"4a18f06f-3da1-47aa-8f5b-27a8a7ff81ea\",\"type\":\"Grid\"},{\"attributes\":{\"below\":[{\"id\":\"032170da-1ae1-4273-b353-2730268cc4bc\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"0754723c-070f-410f-a926-aed179a47d03\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"032170da-1ae1-4273-b353-2730268cc4bc\",\"type\":\"LinearAxis\"},{\"id\":\"6107f90c-6c1b-46c0-a98a-8e025526ea1f\",\"type\":\"Grid\"},{\"id\":\"0754723c-070f-410f-a926-aed179a47d03\",\"type\":\"LinearAxis\"},{\"id\":\"10bee633-92c9-4e93-a4b5-f93fd99c656a\",\"type\":\"Grid\"},{\"id\":\"d09f5d8b-1f2a-4791-9fd3-ae95cb47b2e7\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"7da5007b-6c9e-4264-bb43-a0bf72854063\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"0a9ef96c-bd64-496f-a63f-b8ab2aef93e8\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"69bcb09b-4f5c-446a-ba7b-6f1a0262559c\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"2dded424-7de3-42f0-9090-79d948af0897\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"4f4aec2f-ddb6-498e-a414-84a03a097ad1\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"12925193-aa18-4e4c-8167-5b90adf28db6\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"27ff86a6-fb8a-43ae-b0e8-0f9835b6f65d\",\"type\":\"LinearScale\"}},\"id\":\"73e0134d-25d8-471c-84c6-eb8fb3782eba\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null,\"end\":0.35},\"id\":\"77284d54-47ff-4b6e-aaac-287e65c3e63f\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"f06cc1d6-eb56-4aa0-84f3-e9729b9275cf\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"ba563aff-f4f9-4647-aaae-868eebc4286d\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"2d6ac0c5-51e1-4d9b-9e15-7f3534da7842\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"0def9388-656f-4f80-8204-416c1506065c\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"25d346ea-c806-4a0f-961c-aed4af4b777d\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"03f90714-5417-4aaf-a143-42c92457428c\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"23e03293-f67f-4db4-9cfc-160b81738adb\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"7a2ba2d0-1773-4f35-8110-72d0ef207bd0\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"percent Nuclear\",\"formatter\":{\"id\":\"293edf12-a868-4e90-b4d6-d5cc73772050\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"84b7043e-85fb-48d5-b071-e86c73f02aef\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f5d811ab-1110-4063-8295-05315c8a2123\",\"type\":\"BasicTicker\"}},\"id\":\"de29580b-6fea-47ce-8876-9813075e0f46\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"0b963679-8c60-4a82-8a2a-8e6c95ffef0e\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"e469c057-dbe8-49f1-832c-cfb1512ebc79\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"ba563aff-f4f9-4647-aaae-868eebc4286d\",\"type\":\"BasicTicker\"}},\"id\":\"c210b2cc-8b27-47a5-807a-a7f527eb3cee\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"b179172a-cfed-4e90-a10d-80ed6b9fde61\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"782944a3-a84b-402e-9429-d21c11954706\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5463348c-6856-4dda-b6f1-3dee61ffcad6\",\"type\":\"BasicTicker\"}},\"id\":\"85283351-a27f-4ff7-80ad-dd6c5d216189\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"ff85813e-4df3-40f1-bf64-13b24ff34c5d\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"25d346ea-c806-4a0f-961c-aed4af4b777d\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"9ebb3969-7805-4a9d-9552-3b196db8e227\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"782944a3-a84b-402e-9429-d21c11954706\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5463348c-6856-4dda-b6f1-3dee61ffcad6\",\"type\":\"BasicTicker\"}},\"id\":\"855121cb-9afa-41a9-a22e-09b606037986\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"e0dce708-fc6b-4bcf-92de-152753224108\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"children\":[{\"id\":\"fd5155a3-30bd-4191-952b-6ae3afdfe966\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"782944a3-a84b-402e-9429-d21c11954706\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"3ea03c3f-94ca-4cad-882e-91e33efff516\",\"type\":\"Row\"},{\"attributes\":{},\"id\":\"4f4aec2f-ddb6-498e-a414-84a03a097ad1\",\"type\":\"LinearScale\"},{\"attributes\":{\"children\":[{\"id\":\"3de85bf6-1ce5-41d3-b44d-abe5988e2c32\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"0ae67256-c562-4014-b0e4-7fe7ca3e0cff\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"e469c057-dbe8-49f1-832c-cfb1512ebc79\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"73f4f47d-0d0a-48b0-b057-10103a9c8a95\",\"type\":\"Row\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"d05ff4a2-14b4-414f-836b-2a7566813af8\",\"type\":\"HoverTool\"}]},\"id\":\"d7cf2bef-e0d6-4cfb-8625-6cf9c6de56f0\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"0ae67256-c562-4014-b0e4-7fe7ca3e0cff\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"7d6c74dc-e31b-478c-adb3-8b47fd74731d\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"60b22ea8-073d-443b-88e9-d5b28a430e5b\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"0f741749-8365-4ca3-90c4-a3eacfc0b8d2\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"5a19bbf9-d2d1-4925-b05f-d12dfecb9d7d\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"end\":0.35},\"id\":\"6ccb05a0-d865-427f-a215-4373c8219fca\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"end\":0.35},\"id\":\"1a6b39c7-3adf-43d9-9690-12d767ae37ca\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"acacb611-1f91-4c8a-85c9-a0ea5d929741\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":null,\"text\":\"NPCC 27.2% to 30.4% Nuclear\"},\"id\":\"53ff39b5-a492-4ccb-9e3e-2ea7e0cdacf1\",\"type\":\"Title\"},{\"attributes\":{\"plot\":{\"id\":\"fd5155a3-30bd-4191-952b-6ae3afdfe966\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f6000c83-cafc-4a11-84b8-42c2cf977a77\",\"type\":\"BasicTicker\"}},\"id\":\"f25025f3-2be1-4204-9e2e-5aba1ec933de\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"27ff86a6-fb8a-43ae-b0e8-0f9835b6f65d\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"bf3249ab-166f-4a44-8797-b6695e3ab9db\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"fc8f3efd-08ae-4abf-b29a-7339cc6fa416\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"1af32596-4bd3-486f-9a82-57a7dc39f542\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"e469c057-dbe8-49f1-832c-cfb1512ebc79\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"f6b14e9b-97e4-47c3-a156-25d0bddf6d7c\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"7892724b-e794-45c2-b024-8c69393162bd\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"3de85bf6-1ce5-41d3-b44d-abe5988e2c32\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9ebb3969-7805-4a9d-9552-3b196db8e227\",\"type\":\"BasicTicker\"}},\"id\":\"203aac93-24f7-4159-85df-5629c7357f4a\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"7a2ba2d0-1773-4f35-8110-72d0ef207bd0\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"937793d1-8e87-4d17-a959-37b973229d36\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"14a82ce6-e8bc-410d-8894-d667990efb13\",\"type\":\"BasicTicker\"}},\"id\":\"0f9cf786-d8a6-4cca-b258-f7d091b44efe\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"b179172a-cfed-4e90-a10d-80ed6b9fde61\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"children\":[{\"id\":\"823989d8-49c0-42f0-90cc-1ee3a09ff850\",\"type\":\"ToolbarBox\"},{\"id\":\"517dc53a-ea40-468d-97a2-03ba3b85c1aa\",\"type\":\"Column\"}]},\"id\":\"2e871873-c3f2-4af2-88ca-7c8413e1ca5a\",\"type\":\"Column\"},{\"attributes\":{\"plot\":null,\"text\":\"MRO 15.8% to 14.4% Nuclear\"},\"id\":\"c8803707-fb13-4ecd-93d3-9bd253d006f0\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"98162914-bdda-412a-860e-8c20ce0a0731\",\"type\":\"LinearScale\"},{\"attributes\":{\"below\":[{\"id\":\"9917dea4-787f-451c-a3ea-4e45ff52825b\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"85283351-a27f-4ff7-80ad-dd6c5d216189\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"9917dea4-787f-451c-a3ea-4e45ff52825b\",\"type\":\"LinearAxis\"},{\"id\":\"66b81246-be9f-499b-9fea-69a6fcb2399b\",\"type\":\"Grid\"},{\"id\":\"85283351-a27f-4ff7-80ad-dd6c5d216189\",\"type\":\"LinearAxis\"},{\"id\":\"855121cb-9afa-41a9-a22e-09b606037986\",\"type\":\"Grid\"},{\"id\":\"8a8c8773-523e-4d30-912f-a45c69c88bb0\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"94e1701f-8ddb-43cd-bbbd-b5ce2d7feed1\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"60b22ea8-073d-443b-88e9-d5b28a430e5b\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"8a31e0ea-3f33-4b89-b40a-336568f242af\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"6ccb05a0-d865-427f-a215-4373c8219fca\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"b80b0bdd-8920-4ba1-b9f9-f228593dd688\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"673c2f2b-67b5-43b5-a949-b9e2b1f81759\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"0f741749-8365-4ca3-90c4-a3eacfc0b8d2\",\"type\":\"LinearScale\"}},\"id\":\"782944a3-a84b-402e-9429-d21c11954706\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"14a82ce6-e8bc-410d-8894-d667990efb13\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":null,\"text\":\"ERCOT 9.6% to 9.2% Nuclear\"},\"id\":\"7da5007b-6c9e-4264-bb43-a0bf72854063\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"b80b0bdd-8920-4ba1-b9f9-f228593dd688\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"a498af2b-37c0-4979-96cd-cddec3032d47\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"d60fba05-bf5a-43b3-ba96-8b878c8b8e98\",\"type\":\"Range1d\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"c561213c-37fc-49ed-b7ce-2c170bfd770e\",\"type\":\"HoverTool\"}]},\"id\":\"69bcb09b-4f5c-446a-ba7b-6f1a0262559c\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"end\":0.35},\"id\":\"99f52a6e-1fd5-4871-89d3-8eda4e76a6b3\",\"type\":\"Range1d\"}],\"root_ids\":[\"2e871873-c3f2-4af2-88ca-7c8413e1ca5a\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"f4631bed-9ac1-45cb-b9fc-4893660aecc8\",\"elementid\":\"fa21b4bf-4c91-487e-93fc-a8cf53a5b609\",\"modelid\":\"2e871873-c3f2-4af2-88ca-7c8413e1ca5a\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"fa21b4bf-4c91-487e-93fc-a8cf53a5b609\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_bokeh_plot(gen_index, 'Nuclear', 'percent Nuclear', \n",
    "                  'change in norm variability',\n",
    "                  y_range=(-1, 7), x_range=(0, 0.35))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-18T11:54:02.055477",
     "start_time": "2017-07-18T11:54:01.292412"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"d98fb72d-5309-48d0-bd44-619380a0baeb\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<div style='background-color: #fdd'>\\n\"+\n",
       "       \"<p>\\n\"+\n",
       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "       \"</p>\\n\"+\n",
       "       \"<ul>\\n\"+\n",
       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "       \"</ul>\\n\"+\n",
       "       \"<code>\\n\"+\n",
       "       \"from bokeh.resources import INLINE\\n\"+\n",
       "       \"output_notebook(resources=INLINE)\\n\"+\n",
       "       \"</code>\\n\"+\n",
       "       \"</div>\"}};\n",
       "  \n",
       "    function display_loaded() {\n",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"d98fb72d-5309-48d0-bd44-619380a0baeb\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        var s = document.createElement('script');\n",
       "        s.src = url;\n",
       "        s.async = false;\n",
       "        s.onreadystatechange = s.onload = function() {\n",
       "          window._bokeh_is_loading--;\n",
       "          if (window._bokeh_is_loading === 0) {\n",
       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"d98fb72d-5309-48d0-bd44-619380a0baeb\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'd98fb72d-5309-48d0-bd44-619380a0baeb' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"b5d75d22-b065-4461-8b87-870dbf71e0d1\":{\"roots\":{\"references\":[{\"attributes\":{\"axis_label\":\"change in Solar\",\"formatter\":{\"id\":\"4e940113-f746-49fc-9b93-03b28980976c\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"6c969724-bb51-485b-ba0a-7a28474eaf25\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"dfae3216-5c3d-4094-9495-b245d43091df\",\"type\":\"BasicTicker\"}},\"id\":\"592ce1fb-85e0-4cf5-89d4-742082e804e9\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"df0f305b-9495-4a82-b7c1-2aa115d5d759\",\"type\":\"Range1d\"},{\"attributes\":{\"data_source\":{\"id\":\"d5181221-0e9b-4866-8f67-66970879332c\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"f7fea0e8-6903-49a5-aefd-5041e67b364c\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"cd416b67-be68-493d-a107-20529657d893\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"b8c909d2-e2af-4a28-8d1d-21ed8436c1d5\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"6397ae0b-11c8-49cd-964b-8ecf4ae58eb1\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"adec990b-0c6e-48e1-b9d5-590e4eccf103\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"a2689980-82b2-4407-8a54-9f75ca389210\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"e913fc3e-6313-45a3-93ad-4ec6c60ee19f\",\"type\":\"ToolEvents\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"f808f544-0b2c-4f41-a166-76ff0fe1afdf\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"bc20c39d-e699-496b-a510-52273eba5e39\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"aab0a75a-30cb-461d-b2d6-bdd37bb31ff2\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"8441c87f-19be-45f3-b245-9a1fd1a35d46\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e356d81b-a8e5-4ac6-a07f-92283f42a0ee\",\"type\":\"BasicTicker\"}},\"id\":\"8f6cee2e-adcf-4b6e-95f0-05833a0f132a\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"ab120b1d-d143-4b8c-8341-70bd313c7b1c\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e30eefd4-b2ac-40e0-ade9-85b6d384b0bd\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"42307245-5cc1-42a8-9167-3c4d730d33c2\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"3dee3280-4872-4618-8afd-e53bc56412fa\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":{\"id\":\"7957f250-4ef5-41f7-ab46-145c826b3141\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7a097323-5d97-48b3-8627-0452b47e4f37\",\"type\":\"BasicTicker\"}},\"id\":\"aee31123-93d8-413d-9871-68296f8d834e\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"83fd6efb-9cf8-4141-88ea-049c8647099a\",\"type\":\"ToolEvents\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"3b25a3b0-000b-4745-b028-fb14857a2366\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"0c29ae8b-67bc-4920-98ac-c4ee6713b16e\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"below\":[{\"id\":\"b8f7077d-71b1-4915-9725-fca5d83f0889\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"df1850fa-3096-4fbe-9f70-e35b5abd7919\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"b8f7077d-71b1-4915-9725-fca5d83f0889\",\"type\":\"LinearAxis\"},{\"id\":\"19a1c2ae-f91c-4cf8-be74-03b5e5006fbc\",\"type\":\"Grid\"},{\"id\":\"df1850fa-3096-4fbe-9f70-e35b5abd7919\",\"type\":\"LinearAxis\"},{\"id\":\"9a5d1991-550b-4fa2-a40d-2edb14766fdc\",\"type\":\"Grid\"},{\"id\":\"454c970c-d809-45d7-afe4-c67d5f740faa\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"6ec905fd-26ca-4c30-a394-3476a921a708\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"e913fc3e-6313-45a3-93ad-4ec6c60ee19f\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"0bb92fd0-331f-4eee-8ec6-2117dcd1d14e\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"28809bd2-fc94-43ea-9dc7-b660a149bb75\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"cf9faae5-afc8-4e74-9adc-4d6f234e7e59\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"6ae30070-ceb5-4363-8f6d-835d60af784c\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"5be3ffa3-934c-4ccd-b113-d7375e88ff9a\",\"type\":\"LinearScale\"}},\"id\":\"cdfbfb22-35e2-42e4-9cad-7e4e8ad4ddca\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"8005b28e-613c-4e0e-b9d2-298fdeaaa878\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"5c7008d0-31d4-42b0-ac96-3e6f7186ed91\",\"type\":\"Range1d\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"7957f250-4ef5-41f7-ab46-145c826b3141\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"24f9594b-3e5b-430e-afbc-31b5ae684e4d\",\"type\":\"BasicTicker\"}},\"id\":\"566f1994-5aa7-40bf-9430-dc45015ef5da\",\"type\":\"Grid\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"65fdd25f-4cc8-46f4-90ad-38ddb86e7e86\",\"type\":\"HoverTool\"}]},\"id\":\"f7d43d54-9250-403e-80eb-214186c74d3a\",\"type\":\"Toolbar\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"f7fea0e8-6903-49a5-aefd-5041e67b364c\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":{\"id\":\"b7c94ff9-8e33-48fc-9a55-f30836f1ae7a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"200c0b27-9bf8-4670-a431-60f83653dc9c\",\"type\":\"BasicTicker\"}},\"id\":\"45ca6dd2-1c6f-4ed4-a5a0-c813cdf37c08\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"8e547b9c-4562-4772-a47b-874336dc5740\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"b7c94ff9-8e33-48fc-9a55-f30836f1ae7a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6efd57b9-cac2-44a1-8a77-9623678b42b1\",\"type\":\"BasicTicker\"}},\"id\":\"e2733202-6f51-49b9-9314-1fccef19cb65\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"84533830-1624-4335-939c-9b0e6ba21fee\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"3a24763a-0663-4405-bccc-e026a0432174\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"a0fab8a2-40a6-4324-a5c6-dee6d7bbe854\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"01ad74c2-9b3f-4148-8c79-bc264f2cc589\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"ce963fe8-4c46-46e0-90fc-37498ad690e6\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in Solar\",\"formatter\":{\"id\":\"e9483ba6-205c-47cf-8b1e-59912ddcea00\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"43a3bd42-c923-43e6-b84f-6c7fd87dc924\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"30a75587-a48f-43ba-be8c-97fa6ce13a8f\",\"type\":\"BasicTicker\"}},\"id\":\"ab67be09-a94c-419a-b5d4-ebfe038295aa\",\"type\":\"LinearAxis\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"b7c94ff9-8e33-48fc-9a55-f30836f1ae7a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6efd57b9-cac2-44a1-8a77-9623678b42b1\",\"type\":\"BasicTicker\"}},\"id\":\"26a0337f-670b-47ec-89d6-f41482d35a92\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"ab6e9d39-885e-49fa-a784-21a957f734c0\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"15dacf4c-e155-4b1c-ba08-9057204dfb6d\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"4b205bdf-2fec-47ca-aa59-5ecb7fbd29d7\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"60bc5e57-7b1b-4fba-8390-a07e5eb5e330\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"17c98335-f63a-4d78-a68a-074c4e2a1a5a\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"24f9594b-3e5b-430e-afbc-31b5ae684e4d\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"8441c87f-19be-45f3-b245-9a1fd1a35d46\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"7ab017f3-2ce4-4bcd-8139-767c9018a5d3\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"716faa0b-396f-4f33-8960-05f00048d4aa\",\"type\":\"BasicTicker\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"7d40d4af-9f81-4a45-8a57-3dd061fa172e\",\"type\":\"HoverTool\"}]},\"id\":\"5ca3af56-7cae-47c1-82da-ebfff1d05d09\",\"type\":\"Toolbar\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"6fdfc613-ff3c-4395-bfdd-6e996188ed5d\",\"type\":\"HoverTool\"}]},\"id\":\"0bb92fd0-331f-4eee-8ec6-2117dcd1d14e\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"c16d720a-9a4c-4267-ad43-5614f7cd0e14\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"058da286-8cd3-4163-af1a-52e8f183fd73\",\"type\":\"Range1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"a12b2fbc-a3fb-4816-b3f1-b841c53b101d\",\"type\":\"Circle\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"d17258d7-9cdc-4575-a64f-30d29471e18a\",\"type\":\"HoverTool\"}]},\"id\":\"61281ded-c407-447d-8005-edddb5d5e4ff\",\"type\":\"Toolbar\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"3c2e6172-d355-49c8-a997-191cb31aa500\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"cdfbfb22-35e2-42e4-9cad-7e4e8ad4ddca\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"6fdfc613-ff3c-4395-bfdd-6e996188ed5d\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"dfae3216-5c3d-4094-9495-b245d43091df\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1edd0246-b7f5-465c-a0c3-0b86433ca570\",\"type\":\"ToolEvents\"},{\"attributes\":{\"callback\":null},\"id\":\"23118b83-f10d-414d-a6df-5dad8a8c7a0d\",\"type\":\"DataRange1d\"},{\"attributes\":{\"below\":[{\"id\":\"5913a29e-7556-4dfd-80cf-d4681c2e3231\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"8b50a54a-7956-474a-9d92-ea1fe303a4f1\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"5913a29e-7556-4dfd-80cf-d4681c2e3231\",\"type\":\"LinearAxis\"},{\"id\":\"aee31123-93d8-413d-9871-68296f8d834e\",\"type\":\"Grid\"},{\"id\":\"8b50a54a-7956-474a-9d92-ea1fe303a4f1\",\"type\":\"LinearAxis\"},{\"id\":\"566f1994-5aa7-40bf-9430-dc45015ef5da\",\"type\":\"Grid\"},{\"id\":\"b3564af0-b1d3-4300-b788-5a711c47a0e5\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"4fd6bbcd-3988-4542-b1ac-3bf2fb4c987f\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"83fd6efb-9cf8-4141-88ea-049c8647099a\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"4252c482-718e-469f-bbca-516e6585a38d\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"64fed193-04d9-4d75-ab1b-cd1c30dd0387\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"d24c87bc-a5ce-4a57-ba5c-7a90a9c9a205\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"f08b75a9-ffa9-4547-9605-72cb0cd5283c\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"ce963fe8-4c46-46e0-90fc-37498ad690e6\",\"type\":\"LinearScale\"}},\"id\":\"7957f250-4ef5-41f7-ab46-145c826b3141\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"aab0a75a-30cb-461d-b2d6-bdd37bb31ff2\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"3a62de2e-e1a9-4583-b606-0d5dfa68cb4a\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":null,\"text\":\"ERCOT 0.0% to 0.2% Solar\"},\"id\":\"4fd6bbcd-3988-4542-b1ac-3bf2fb4c987f\",\"type\":\"Title\"},{\"attributes\":{\"axis_label\":\"change in Solar\",\"formatter\":{\"id\":\"b5b4d925-ff88-4aef-85f9-c90362cee9c9\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"8441c87f-19be-45f3-b245-9a1fd1a35d46\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"60bc5e57-7b1b-4fba-8390-a07e5eb5e330\",\"type\":\"BasicTicker\"}},\"id\":\"a76c0122-bf06-40e3-99ff-b6a2f7ff29f1\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"0453c003-6ac7-4540-ab4d-7197fe732e62\",\"type\":\"Circle\"},{\"attributes\":{\"data_source\":{\"id\":\"164ae838-f923-49ab-9def-943f3344c359\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"32a1259d-d31c-4ed3-8b61-bdc60d16414d\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"e30eefd4-b2ac-40e0-ade9-85b6d384b0bd\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"454c970c-d809-45d7-afe4-c67d5f740faa\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"164ae838-f923-49ab-9def-943f3344c359\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"800fba69-6936-4f75-82d1-4521cf4c2afe\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"change in Solar\",\"formatter\":{\"id\":\"0c29ae8b-67bc-4920-98ac-c4ee6713b16e\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"cb9866d1-a565-4416-91ca-ded6d11ea033\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"42307245-5cc1-42a8-9167-3c4d730d33c2\",\"type\":\"BasicTicker\"}},\"id\":\"77908935-7939-4fba-ab38-eb33f99d1ec5\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"43a3bd42-c923-43e6-b84f-6c7fd87dc924\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"30a75587-a48f-43ba-be8c-97fa6ce13a8f\",\"type\":\"BasicTicker\"}},\"id\":\"48cabb21-b788-4699-9b06-eb9b3d607727\",\"type\":\"Grid\"},{\"attributes\":{\"data_source\":{\"id\":\"92edb1d3-c281-4628-b876-15904785df0f\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"0a3ac00c-1c40-4f0d-8915-8e32b79e1a51\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"3b25a3b0-000b-4745-b028-fb14857a2366\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"af195e92-336d-4d8f-925e-bed29ae52b39\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"below\":[{\"id\":\"ab67be09-a94c-419a-b5d4-ebfe038295aa\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"9baa14bd-2bfc-4eef-b7b2-15bc27ecfdf8\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"ab67be09-a94c-419a-b5d4-ebfe038295aa\",\"type\":\"LinearAxis\"},{\"id\":\"48cabb21-b788-4699-9b06-eb9b3d607727\",\"type\":\"Grid\"},{\"id\":\"9baa14bd-2bfc-4eef-b7b2-15bc27ecfdf8\",\"type\":\"LinearAxis\"},{\"id\":\"ec94460f-dbb7-46cc-8639-6308ef567c38\",\"type\":\"Grid\"},{\"id\":\"af195e92-336d-4d8f-925e-bed29ae52b39\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"0613dd0f-0897-485d-9352-a86afaa9c54e\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"adec990b-0c6e-48e1-b9d5-590e4eccf103\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"5b2922b0-3bc7-4b8e-bca0-0d31c652d7a6\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"a6996a29-7620-43a6-af90-205a6934e299\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"15dacf4c-e155-4b1c-ba08-9057204dfb6d\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"5c7008d0-31d4-42b0-ac96-3e6f7186ed91\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"768e0d8c-4c24-431d-b9b7-b630ab50fc94\",\"type\":\"LinearScale\"}},\"id\":\"43a3bd42-c923-43e6-b84f-6c7fd87dc924\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1dba6461-ce1c-4a16-8da7-404c8f53500c\",\"type\":\"Circle\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"8441c87f-19be-45f3-b245-9a1fd1a35d46\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e356d81b-a8e5-4ac6-a07f-92283f42a0ee\",\"type\":\"BasicTicker\"}},\"id\":\"e26d1d13-2cc3-4a13-aa0e-cb30b54615a4\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"df603207-e28c-47fd-89c1-ce5dd76d37da\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"4ad09551-cafb-4a54-ad4a-e32f8e2252a1\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"84533830-1624-4335-939c-9b0e6ba21fee\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"8073ae84-b6bd-493f-8137-1bc62aae3c54\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"below\":[{\"id\":\"a76c0122-bf06-40e3-99ff-b6a2f7ff29f1\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"8f6cee2e-adcf-4b6e-95f0-05833a0f132a\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"a76c0122-bf06-40e3-99ff-b6a2f7ff29f1\",\"type\":\"LinearAxis\"},{\"id\":\"2755177c-96f0-46d2-bc7f-81a04d29e791\",\"type\":\"Grid\"},{\"id\":\"8f6cee2e-adcf-4b6e-95f0-05833a0f132a\",\"type\":\"LinearAxis\"},{\"id\":\"e26d1d13-2cc3-4a13-aa0e-cb30b54615a4\",\"type\":\"Grid\"},{\"id\":\"80229de8-1fed-48f1-b836-8d55aabec97e\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"3e5b9083-e23e-4574-8827-0bdb711317e3\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"1edd0246-b7f5-465c-a0c3-0b86433ca570\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"9ccd6bb9-6f69-4a67-aa30-43750b14ae3a\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"ef23b4f9-4064-484f-9c22-ededbda945f5\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"45728118-a1ea-484c-929e-89c41998f6af\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"32b5bbb9-880e-4dce-bdee-d2555eed078d\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"8005b28e-613c-4e0e-b9d2-298fdeaaa878\",\"type\":\"LinearScale\"}},\"id\":\"8441c87f-19be-45f3-b245-9a1fd1a35d46\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"children\":[{\"id\":\"8441c87f-19be-45f3-b245-9a1fd1a35d46\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"cdfbfb22-35e2-42e4-9cad-7e4e8ad4ddca\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"43a3bd42-c923-43e6-b84f-6c7fd87dc924\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"2fff80fa-a4a1-425d-ba52-a1ebd265983a\",\"type\":\"Row\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"f08b75a9-ffa9-4547-9605-72cb0cd5283c\",\"type\":\"Range1d\"},{\"attributes\":{\"below\":[{\"id\":\"77908935-7939-4fba-ab38-eb33f99d1ec5\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"ebcc86ea-e811-4794-bf0d-8d839b1ee00e\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"77908935-7939-4fba-ab38-eb33f99d1ec5\",\"type\":\"LinearAxis\"},{\"id\":\"54ce7fc5-adbd-4638-a80d-a7343c4d71d1\",\"type\":\"Grid\"},{\"id\":\"ebcc86ea-e811-4794-bf0d-8d839b1ee00e\",\"type\":\"LinearAxis\"},{\"id\":\"c0876f6c-f78a-4488-a3bc-651ff6319419\",\"type\":\"Grid\"},{\"id\":\"009fc062-176b-46f7-a6bd-9752fd29e279\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"4aaa3d5d-e115-45cf-a13b-5d78b93628a8\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"6397ae0b-11c8-49cd-964b-8ecf4ae58eb1\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"a6803649-e3f1-4364-bc16-83e3b62bb05c\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"db7e95e8-c7f6-49e4-b416-f301c1cef96c\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"0b0a3ccb-03b2-4b84-91b2-8866370c657a\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"df0f305b-9495-4a82-b7c1-2aa115d5d759\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"31e289d5-2fee-4f79-b26d-72cf6ad87efa\",\"type\":\"LinearScale\"}},\"id\":\"cb9866d1-a565-4416-91ca-ded6d11ea033\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"b35bb879-bf06-4d82-bcc4-665050eceb5e\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"8e547b9c-4562-4772-a47b-874336dc5740\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"30cebd04-10c1-4407-aa2b-1f1e78522024\",\"type\":\"Circle\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"9150cd1f-ff52-4f4b-9ca2-371517b2a463\",\"type\":\"HoverTool\"}]},\"id\":\"5b2922b0-3bc7-4b8e-bca0-0d31c652d7a6\",\"type\":\"Toolbar\"},{\"attributes\":{\"below\":[{\"id\":\"592ce1fb-85e0-4cf5-89d4-742082e804e9\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"9d12c357-f2d0-4a7d-8eb9-a63c091b2069\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"592ce1fb-85e0-4cf5-89d4-742082e804e9\",\"type\":\"LinearAxis\"},{\"id\":\"a60b5ae7-bc38-405a-8d9d-baa57a2d37ca\",\"type\":\"Grid\"},{\"id\":\"9d12c357-f2d0-4a7d-8eb9-a63c091b2069\",\"type\":\"LinearAxis\"},{\"id\":\"449d2e02-a0d7-4d97-a420-6850a2b9f1da\",\"type\":\"Grid\"},{\"id\":\"b8c909d2-e2af-4a28-8d1d-21ed8436c1d5\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"f298f1a0-5087-4489-8cb8-804220a70e0a\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"3a3c0298-dea9-4b16-8337-749cffd44ed4\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"5ca3af56-7cae-47c1-82da-ebfff1d05d09\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"4258923a-9abd-4688-ac85-6f74c860bdf9\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"9969bdbf-90da-4325-b894-d203f94b392a\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"9701b74c-333d-4174-b5dc-3307f6a77b36\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"bc20c39d-e699-496b-a510-52273eba5e39\",\"type\":\"LinearScale\"}},\"id\":\"6c969724-bb51-485b-ba0a-7a28474eaf25\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"below\":[{\"id\":\"d356bdbf-68c3-472d-a495-74fbf28c1e60\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"e2733202-6f51-49b9-9314-1fccef19cb65\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"d356bdbf-68c3-472d-a495-74fbf28c1e60\",\"type\":\"LinearAxis\"},{\"id\":\"45ca6dd2-1c6f-4ed4-a5a0-c813cdf37c08\",\"type\":\"Grid\"},{\"id\":\"e2733202-6f51-49b9-9314-1fccef19cb65\",\"type\":\"LinearAxis\"},{\"id\":\"26a0337f-670b-47ec-89d6-f41482d35a92\",\"type\":\"Grid\"},{\"id\":\"8a2c0d5e-61ea-4c15-a005-086bbbb89519\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"8e4f7419-1fe7-42c1-8efd-bb4becea00fe\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"a2689980-82b2-4407-8a54-9f75ca389210\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"61281ded-c407-447d-8005-edddb5d5e4ff\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"23118b83-f10d-414d-a6df-5dad8a8c7a0d\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"00378da6-3616-4c01-aebf-61b0e677490c\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"058da286-8cd3-4163-af1a-52e8f183fd73\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"0ee05fef-5a65-4a5b-9ac0-4a5c2ec70056\",\"type\":\"LinearScale\"}},\"id\":\"b7c94ff9-8e33-48fc-9a55-f30836f1ae7a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis_label\":\"change in Solar\",\"formatter\":{\"id\":\"d7f018d2-38bb-4f84-8c0b-bc940d57ce58\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"b7c94ff9-8e33-48fc-9a55-f30836f1ae7a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"200c0b27-9bf8-4670-a431-60f83653dc9c\",\"type\":\"BasicTicker\"}},\"id\":\"d356bdbf-68c3-472d-a495-74fbf28c1e60\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null},\"id\":\"4258923a-9abd-4688-ac85-6f74c860bdf9\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"7957f250-4ef5-41f7-ab46-145c826b3141\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"3c58f6cc-938d-48e4-ade9-e73cd8293a71\",\"type\":\"HoverTool\"},{\"attributes\":{\"children\":[{\"id\":\"040096ad-7c6a-462e-b4a7-5d25da383e85\",\"type\":\"Row\"},{\"id\":\"2fff80fa-a4a1-425d-ba52-a1ebd265983a\",\"type\":\"Row\"},{\"id\":\"2840e27b-f643-4d7e-a1b1-bbc0b6d3a3da\",\"type\":\"Row\"}]},\"id\":\"2275a8b7-ad97-4149-83da-943cbe10b114\",\"type\":\"Column\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"cb9866d1-a565-4416-91ca-ded6d11ea033\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"37b66d1b-684a-4132-aa28-b95fd9ae107f\",\"type\":\"HoverTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"0a3ac00c-1c40-4f0d-8915-8e32b79e1a51\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"d5181221-0e9b-4866-8f67-66970879332c\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"167319b9-6b18-47f8-96c4-837555ce1625\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"8073ae84-b6bd-493f-8137-1bc62aae3c54\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"43a3bd42-c923-43e6-b84f-6c7fd87dc924\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"b35bb879-bf06-4d82-bcc4-665050eceb5e\",\"type\":\"BasicTicker\"}},\"id\":\"9baa14bd-2bfc-4eef-b7b2-15bc27ecfdf8\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"e446921c-cdbe-4eb2-a029-890c610f4ea0\",\"type\":\"Range1d\"},{\"attributes\":{\"axis_label\":\"change in Solar\",\"formatter\":{\"id\":\"bf37f2ef-f0af-4fbf-952d-b203d6121d9c\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"cdfbfb22-35e2-42e4-9cad-7e4e8ad4ddca\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"25a809b2-6445-4f80-b744-215593795a78\",\"type\":\"BasicTicker\"}},\"id\":\"b8f7077d-71b1-4915-9725-fca5d83f0889\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4f2c+XUaLYd2/mGzdNHQA3b/Ut8jGjJDcv9LFdrpZ0d+/2oLxfZ9X17/45nlyhEjavxTXz74Kv9m/mWSlwDAn278ufz7WbA/Xv+WhA0u/n9W/P32282RW17+SxrWk99nRv3KHGESoycq/p4SMaW67yL9DFWBNOiDJvypjXvJn78i/29RTU89k0L9DZ/o8lzvQvzQ3iPdy1dC/cUf0u1xtzb+X3sRohL7Iv5w/0tXXrsu/D7Liog9wwr/mqDySo4fbP8vkizbg2do/eAQJpueQ2j/qq0C9naTaP1epu72oHOE/cIDduAdY5T9zZJ1Lg8jnP7C8GUJj2Oc/CxHnOmnD6D9lqtnn1p/oP/BDKCh6u+k/sMWFbYEw6D8byLwh/qmMv6jwAiCoe6W/gLgAJ5LCkb8tZuTq13Wkv+gBJwtXK4y/mcfznIRwu7/P3OEE/7bFv8J53afUxZ+/P9A3dp1AkD8kCQxXOiKsP7p2IM/XRr0/fz7eta3CwT83PR+W0WO5PwkSlFGsoKa/XENuaclG0L/vYrnVHNvTvxYSqAogDtC/R/QYjmR2hz8hRJSl+PCnP99ldAS9/6g/EEILyPgYqj8TusZtdsGsP9xGm7LAiqw/3a0k+uL8tj/TFWugw9KyP7XbBLF7l64/q14yJzb4or9HsRaBuvKiv3WJrNY+kaO/svcWkTV7wr/zNee8r3nOv5kUtvxPAs2/gaBfS4eByL83lZxjsry8vy5IMqqSEry/9ONh5xRiw78hsNUTqNLUvw3csuefl9i/R2G+bcJe2r+og5rbU7rbvyE2lox6fdG/4+3oqAY/1r8U3q4EH53Wv98WqORd/dS/sPu4LEPU1L/cloB0S73Yv1e2WHWRv9i/JvEm/cu2278T7uL0ijjdv7EFeUtON96/BT0fGfgt3r8bQ+k5VCTbv3LhVyBf4du/9LkkXDKl07/lWixGWf/Tv1tJ4sluVNO/pLKDQGln079+afXlUVjUvxLLI5P5q9e/43XRfw720r+mF0OpVZDNv2La/zT1nc+/f85ndScO0b8WrUDXogXRvx3AyNcxDde/avye5fKP0b8c58/SOi7Ov5E79FFR7My/88d9vqfWyr+BOtVBhKXKvx7R/0RMp8q/2x7z6XVvxr9gC+EUasXTv5dkyo0SGdO/WIj/1NK20L8UYmMCXszQv+YegM9Svcu/hGGtH2w80r818N03HkjRv21BIMgqgNK//KQg1Zkt1r8XpWqsa1/Xv/zWZmg54dW/nGCaOjCj079I1jJBZqfSv3mWgP4z9NG/h1jzrMeE0b8GJMJRipvRvzhsi/wY8a2//GYntLt35T/TejKDZJLnP2aJNGwEK+Q/qnMjQ+Ye4z911NQKtU/iP6j31nHXx+E/NKDkJ5Ci4T/b0TMHuHThP7O6ly770d4/aPnKtpVJ2j9KA7xVkf3WPwJvaIVL3dY/Ac+znQr0q79p5D1oSOizvzpENYMuvaE/pEKvEZKOlT/FY6ev+G2nvwaXWxqPxKq/OB02lAJgnL91LtWwSC2QP5/6Pb5jU38/uLniWRH6mz8/kfNnV+LFv4XmNfbffMe/nqqtgM34xL+tzIflJTzJv2kvwi13rNC/6iVDQqzE0b9lgDrQLpzRv5GAbuRE79i/MhjR9JCS07+wkd4N0BnAv3bq9UuJQ7e/28N0AfhfkD+YfJLB2zu9P3YoTnN78rw/mGB8cxCGxD9xST9YQhPTP5ialUXyg9I/Lypjo7uYvz/z5t4e3Ciqv41ss9+a7r2/P1fN1lwov784Fc81u0HjP3j6fhauyfA/sNBC1vJQ8j8B26PZJGH3P/iHw2yRMv8/nCjjXCtcA0CKrXlcR1cFQCOdSjW/igRABDjN/vcFA0CTAwZTagQCQB+bDa7vxQFAT4tD/FBBAEBsvBvvZtj/P58ylRmXV/8/lcUxepopAEA9+kXuiW0BQPn2p7sxnwJA\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"92edb1d3-c281-4628-b876-15904785df0f\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"a0fab8a2-40a6-4324-a5c6-dee6d7bbe854\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":{\"id\":\"8441c87f-19be-45f3-b245-9a1fd1a35d46\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"60bc5e57-7b1b-4fba-8390-a07e5eb5e330\",\"type\":\"BasicTicker\"}},\"id\":\"2755177c-96f0-46d2-bc7f-81a04d29e791\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"06020724-44d3-4756-b3dc-1c694d1d0b6c\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"b5b4d925-ff88-4aef-85f9-c90362cee9c9\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"9701b74c-333d-4174-b5dc-3307f6a77b36\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"9969bdbf-90da-4325-b894-d203f94b392a\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":null,\"text\":\"NPCC 0.0% to 1.5% Solar\"},\"id\":\"f298f1a0-5087-4489-8cb8-804220a70e0a\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"5b1eef66-8e85-4423-9712-97db45631535\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"4e940113-f746-49fc-9b93-03b28980976c\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"3dee3280-4872-4618-8afd-e53bc56412fa\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"7e3d47c6-c0b6-45f1-9710-64230c98f381\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"ab120b1d-d143-4b8c-8341-70bd313c7b1c\",\"type\":\"BasicTicker\"}},\"id\":\"acf38d63-dbc9-4578-bbf4-37d34709b3f7\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"e9483ba6-205c-47cf-8b1e-59912ddcea00\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"06005961-a9b9-45fb-acfc-ec2ff1910379\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"7957f250-4ef5-41f7-ab46-145c826b3141\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"24f9594b-3e5b-430e-afbc-31b5ae684e4d\",\"type\":\"BasicTicker\"}},\"id\":\"8b50a54a-7956-474a-9d92-ea1fe303a4f1\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"0b0a3ccb-03b2-4b84-91b2-8866370c657a\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"cf9faae5-afc8-4e74-9adc-4d6f234e7e59\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"768e0d8c-4c24-431d-b9b7-b630ab50fc94\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"800fba69-6936-4f75-82d1-4521cf4c2afe\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"cdfbfb22-35e2-42e4-9cad-7e4e8ad4ddca\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"c16d720a-9a4c-4267-ad43-5614f7cd0e14\",\"type\":\"BasicTicker\"}},\"id\":\"df1850fa-3096-4fbe-9f70-e35b5abd7919\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"change in Solar\",\"formatter\":{\"id\":\"3a62de2e-e1a9-4583-b606-0d5dfa68cb4a\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"7e3d47c6-c0b6-45f1-9710-64230c98f381\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"716faa0b-396f-4f33-8960-05f00048d4aa\",\"type\":\"BasicTicker\"}},\"id\":\"89c936c1-0a74-4d00-abcc-8dac9b8d249c\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"ed6e83a7-58de-4f1b-b4c8-5a54be0b9409\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":null,\"text\":\"SERC 0.0% to 0.5% Solar\"},\"id\":\"8e4f7419-1fe7-42c1-8efd-bb4becea00fe\",\"type\":\"Title\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"588b368c-8704-4c84-b8c5-4f61e7a8f270\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"32a1259d-d31c-4ed3-8b61-bdc60d16414d\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":{\"id\":\"7e3d47c6-c0b6-45f1-9710-64230c98f381\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"716faa0b-396f-4f33-8960-05f00048d4aa\",\"type\":\"BasicTicker\"}},\"id\":\"99e7cfab-6974-4a5a-bf0c-073fbfbfb8cf\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"cb9866d1-a565-4416-91ca-ded6d11ea033\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4b205bdf-2fec-47ca-aa59-5ecb7fbd29d7\",\"type\":\"BasicTicker\"}},\"id\":\"c0876f6c-f78a-4488-a3bc-651ff6319419\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"6efd57b9-cac2-44a1-8a77-9623678b42b1\",\"type\":\"BasicTicker\"},{\"attributes\":{\"children\":[{\"id\":\"6c969724-bb51-485b-ba0a-7a28474eaf25\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"7957f250-4ef5-41f7-ab46-145c826b3141\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"cb9866d1-a565-4416-91ca-ded6d11ea033\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"040096ad-7c6a-462e-b4a7-5d25da383e85\",\"type\":\"Row\"},{\"attributes\":{},\"id\":\"4a1ff912-2a4a-4c75-a877-e1ddd0f57c3e\",\"type\":\"ToolEvents\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"32b5bbb9-880e-4dce-bdee-d2555eed078d\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"31e289d5-2fee-4f79-b26d-72cf6ad87efa\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"00f3d662-be26-4abc-b82c-be0f32f41f68\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"30cebd04-10c1-4407-aa2b-1f1e78522024\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"ed6e83a7-58de-4f1b-b4c8-5a54be0b9409\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"8a2c0d5e-61ea-4c15-a005-086bbbb89519\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"25a809b2-6445-4f80-b744-215593795a78\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":null,\"text\":\"SPP 0.0% to 0.0% Solar\"},\"id\":\"0613dd0f-0897-485d-9352-a86afaa9c54e\",\"type\":\"Title\"},{\"attributes\":{\"sizing_mode\":\"scale_width\",\"toolbar_location\":\"above\",\"tools\":[{\"id\":\"7d40d4af-9f81-4a45-8a57-3dd061fa172e\",\"type\":\"HoverTool\"},{\"id\":\"3c58f6cc-938d-48e4-ade9-e73cd8293a71\",\"type\":\"HoverTool\"},{\"id\":\"37b66d1b-684a-4132-aa28-b95fd9ae107f\",\"type\":\"HoverTool\"},{\"id\":\"7ab017f3-2ce4-4bcd-8139-767c9018a5d3\",\"type\":\"HoverTool\"},{\"id\":\"6fdfc613-ff3c-4395-bfdd-6e996188ed5d\",\"type\":\"HoverTool\"},{\"id\":\"9150cd1f-ff52-4f4b-9ca2-371517b2a463\",\"type\":\"HoverTool\"},{\"id\":\"65fdd25f-4cc8-46f4-90ad-38ddb86e7e86\",\"type\":\"HoverTool\"},{\"id\":\"d17258d7-9cdc-4575-a64f-30d29471e18a\",\"type\":\"HoverTool\"}]},\"id\":\"5ee183d5-c3b5-44fc-b17b-5ece3bf4a8bd\",\"type\":\"ToolbarBox\"},{\"attributes\":{\"children\":[{\"id\":\"7e3d47c6-c0b6-45f1-9710-64230c98f381\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"b7c94ff9-8e33-48fc-9a55-f30836f1ae7a\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"2840e27b-f643-4d7e-a1b1-bbc0b6d3a3da\",\"type\":\"Row\"},{\"attributes\":{},\"id\":\"00378da6-3616-4c01-aebf-61b0e677490c\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in Solar\",\"formatter\":{\"id\":\"ab6e9d39-885e-49fa-a784-21a957f734c0\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"7957f250-4ef5-41f7-ab46-145c826b3141\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"7a097323-5d97-48b3-8627-0452b47e4f37\",\"type\":\"BasicTicker\"}},\"id\":\"5913a29e-7556-4dfd-80cf-d4681c2e3231\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null},\"id\":\"a6996a29-7620-43a6-af90-205a6934e299\",\"type\":\"DataRange1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"f308931d-d765-4c7b-937a-62cd3ad859e2\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"cd416b67-be68-493d-a107-20529657d893\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"06005961-a9b9-45fb-acfc-ec2ff1910379\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"below\":[{\"id\":\"89c936c1-0a74-4d00-abcc-8dac9b8d249c\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"acf38d63-dbc9-4578-bbf4-37d34709b3f7\",\"type\":\"LinearAxis\"}],\"output_backend\":\"webgl\",\"plot_height\":240,\"plot_width\":240,\"renderers\":[{\"id\":\"89c936c1-0a74-4d00-abcc-8dac9b8d249c\",\"type\":\"LinearAxis\"},{\"id\":\"99e7cfab-6974-4a5a-bf0c-073fbfbfb8cf\",\"type\":\"Grid\"},{\"id\":\"acf38d63-dbc9-4578-bbf4-37d34709b3f7\",\"type\":\"LinearAxis\"},{\"id\":\"5df3c4e6-fa9f-4b0f-bc9e-09b6b4f57fd6\",\"type\":\"Grid\"},{\"id\":\"01ad74c2-9b3f-4148-8c79-bc264f2cc589\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"c636fb82-2104-40d4-bc41-97a83a021a67\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"4a1ff912-2a4a-4c75-a877-e1ddd0f57c3e\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"f7d43d54-9250-403e-80eb-214186c74d3a\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"b4737551-ed55-47e8-af5c-bb1e688418b3\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"908630fa-1862-4b97-9f84-e34e3bdd23c0\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"e446921c-cdbe-4eb2-a029-890c610f4ea0\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"df603207-e28c-47fd-89c1-ce5dd76d37da\",\"type\":\"LinearScale\"}},\"id\":\"7e3d47c6-c0b6-45f1-9710-64230c98f381\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"d24c87bc-a5ce-4a57-ba5c-7a90a9c9a205\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"17c98335-f63a-4d78-a68a-074c4e2a1a5a\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"a12b2fbc-a3fb-4816-b3f1-b841c53b101d\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"3c2e6172-d355-49c8-a997-191cb31aa500\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"80229de8-1fed-48f1-b836-8d55aabec97e\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"plot\":null,\"text\":\"MRO 0.0% to 0.1% Solar\"},\"id\":\"c636fb82-2104-40d4-bc41-97a83a021a67\",\"type\":\"Title\"},{\"attributes\":{\"plot\":null,\"text\":\"RFC 0.0% to 0.5% Solar\"},\"id\":\"6ec905fd-26ca-4c30-a394-3476a921a708\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"6c969724-bb51-485b-ba0a-7a28474eaf25\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"7d40d4af-9f81-4a45-8a57-3dd061fa172e\",\"type\":\"HoverTool\"},{\"attributes\":{\"data_source\":{\"id\":\"06020724-44d3-4756-b3dc-1c694d1d0b6c\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"0453c003-6ac7-4540-ab4d-7197fe732e62\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1dba6461-ce1c-4a16-8da7-404c8f53500c\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"b3564af0-b1d3-4300-b788-5a711c47a0e5\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null},\"id\":\"28809bd2-fc94-43ea-9dc7-b660a149bb75\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"0ee05fef-5a65-4a5b-9ac0-4a5c2ec70056\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"3a3c0298-dea9-4b16-8337-749cffd44ed4\",\"type\":\"ToolEvents\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\",\"colors\",\"datetime\"],\"data\":{\"colors\":[\"#440154\",\"#440255\",\"#440357\",\"#450558\",\"#45085B\",\"#46095C\",\"#460B5E\",\"#460E61\",\"#470F62\",\"#471163\",\"#471466\",\"#471567\",\"#471669\",\"#48196B\",\"#481A6C\",\"#481C6E\",\"#481E70\",\"#482071\",\"#482172\",\"#482273\",\"#472575\",\"#472676\",\"#472777\",\"#472A79\",\"#472B7A\",\"#472C7B\",\"#462F7C\",\"#46307D\",\"#46317E\",\"#45347F\",\"#453580\",\"#453681\",\"#443982\",\"#433A83\",\"#433B83\",\"#423D84\",\"#423E85\",\"#424085\",\"#414186\",\"#404387\",\"#404487\",\"#3F4587\",\"#3E4888\",\"#3E4989\",\"#3D4A89\",\"#3D4C89\",\"#3C4D8A\",\"#3C4E8A\",\"#3B518A\",\"#3A528B\",\"#3A538B\",\"#39558B\",\"#38568B\",\"#38578C\",\"#37588C\",\"#365A8C\",\"#365B8C\",\"#355C8C\",\"#345E8D\",\"#345F8D\",\"#33608D\",\"#32628D\",\"#32638D\",\"#31648D\",\"#31668D\",\"#30678D\",\"#30688D\",\"#2F6A8D\",\"#2E6B8E\",\"#2E6C8E\",\"#2D6E8E\",\"#2D6F8E\",\"#2C708E\",\"#2C718E\",\"#2B738E\",\"#2B748E\",\"#2A758E\",\"#2A778E\",\"#29788E\",\"#29798E\",\"#287A8E\",\"#287B8E\",\"#277C8E\",\"#277E8E\",\"#267F8E\",\"#26808E\",\"#25828E\",\"#25838D\",\"#24848D\",\"#24858D\",\"#23878D\",\"#23888D\",\"#23898D\",\"#228A8D\",\"#228B8D\",\"#218C8D\",\"#218E8C\",\"#208F8C\",\"#20908C\",\"#1F928C\",\"#1F938B\",\"#1F948B\",\"#1F968B\",\"#1E978A\",\"#1E988A\",\"#1E998A\",\"#1E9A89\",\"#1E9B89\",\"#1E9C89\",\"#1E9E88\",\"#1E9F88\",\"#1EA087\",\"#1FA286\",\"#1FA386\",\"#20A485\",\"#21A685\",\"#21A784\",\"#22A784\",\"#23A982\",\"#24AA82\",\"#25AB81\",\"#27AD80\",\"#28AE7F\",\"#29AF7F\",\"#2AB07E\",\"#2CB17D\",\"#2EB27C\",\"#2FB37B\",\"#32B57A\",\"#33B679\",\"#35B778\",\"#38B976\",\"#39B976\",\"#3BBA75\",\"#3EBC73\",\"#40BD72\",\"#42BE71\",\"#45BF6F\",\"#47C06E\",\"#49C16D\",\"#4DC26B\",\"#4FC369\",\"#51C468\",\"#53C567\",\"#57C665\",\"#59C764\",\"#5BC862\",\"#60C960\",\"#62CA5F\",\"#64CB5D\",\"#69CC5B\",\"#6BCD59\",\"#6DCE58\",\"#72CF55\",\"#74D054\",\"#77D052\",\"#7CD24F\",\"#7ED24E\",\"#81D34C\",\"#83D34B\",\"#88D547\",\"#8BD546\",\"#8DD644\",\"#92D741\",\"#95D73F\",\"#97D83E\",\"#9DD93A\",\"#9FD938\",\"#A2DA37\",\"#A7DB33\",\"#AADB32\",\"#ADDC30\",\"#B2DD2C\",\"#B5DD2B\",\"#B7DD29\",\"#BDDE26\",\"#BFDF24\",\"#C2DF22\",\"#C5DF21\",\"#CAE01E\",\"#CDE01D\",\"#CFE11C\",\"#D4E11A\",\"#D7E219\",\"#DAE218\",\"#DFE318\",\"#E1E318\",\"#E4E318\",\"#E9E419\",\"#ECE41A\",\"#EEE51B\",\"#F3E51E\",\"#F6E61F\",\"#F8E621\",\"#FDE724\"],\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]},\"x\":{\"__ndarray__\":\"AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPj/AAAAAAAA+P8AAAAAAAD4/wAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/\",\"dtype\":\"float64\",\"shape\":[195]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[195]}}},\"id\":\"00f3d662-be26-4abc-b82c-be0f32f41f68\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"7e3d47c6-c0b6-45f1-9710-64230c98f381\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"65fdd25f-4cc8-46f4-90ad-38ddb86e7e86\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null},\"id\":\"64fed193-04d9-4d75-ab1b-cd1c30dd0387\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"45728118-a1ea-484c-929e-89c41998f6af\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null},\"id\":\"b4737551-ed55-47e8-af5c-bb1e688418b3\",\"type\":\"DataRange1d\"},{\"attributes\":{\"plot\":{\"id\":\"6c969724-bb51-485b-ba0a-7a28474eaf25\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"dfae3216-5c3d-4094-9495-b245d43091df\",\"type\":\"BasicTicker\"}},\"id\":\"a60b5ae7-bc38-405a-8d9d-baa57a2d37ca\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"7e3d47c6-c0b6-45f1-9710-64230c98f381\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"ab120b1d-d143-4b8c-8341-70bd313c7b1c\",\"type\":\"BasicTicker\"}},\"id\":\"5df3c4e6-fa9f-4b0f-bc9e-09b6b4f57fd6\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"43a3bd42-c923-43e6-b84f-6c7fd87dc924\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"b35bb879-bf06-4d82-bcc4-665050eceb5e\",\"type\":\"BasicTicker\"}},\"id\":\"ec94460f-dbb7-46cc-8639-6308ef567c38\",\"type\":\"Grid\"},{\"attributes\":{\"data_source\":{\"id\":\"f808f544-0b2c-4f41-a166-76ff0fe1afdf\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"588b368c-8704-4c84-b8c5-4f61e7a8f270\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"f308931d-d765-4c7b-937a-62cd3ad859e2\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"009fc062-176b-46f7-a6bd-9752fd29e279\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"167319b9-6b18-47f8-96c4-837555ce1625\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"6c969724-bb51-485b-ba0a-7a28474eaf25\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5b1eef66-8e85-4423-9712-97db45631535\",\"type\":\"BasicTicker\"}},\"id\":\"9d12c357-f2d0-4a7d-8eb9-a63c091b2069\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"field\":\"colors\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":12},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"3a24763a-0663-4405-bccc-e026a0432174\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"d7f018d2-38bb-4f84-8c0b-bc940d57ce58\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"bf37f2ef-f0af-4fbf-952d-b203d6121d9c\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"5be3ffa3-934c-4ccd-b113-d7375e88ff9a\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":null,\"text\":\"WECC 0.1% to 5.2% Solar\"},\"id\":\"4aaa3d5d-e115-45cf-a13b-5d78b93628a8\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"b7c94ff9-8e33-48fc-9a55-f30836f1ae7a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"d17258d7-9cdc-4575-a64f-30d29471e18a\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"end\":7,\"start\":-1},\"id\":\"6ae30070-ceb5-4363-8f6d-835d60af784c\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"30a75587-a48f-43ba-be8c-97fa6ce13a8f\",\"type\":\"BasicTicker\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"3c58f6cc-938d-48e4-ade9-e73cd8293a71\",\"type\":\"HoverTool\"}]},\"id\":\"4252c482-718e-469f-bbca-516e6585a38d\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null},\"id\":\"db7e95e8-c7f6-49e4-b416-f301c1cef96c\",\"type\":\"DataRange1d\"},{\"attributes\":{\"children\":[{\"id\":\"5ee183d5-c3b5-44fc-b17b-5ece3bf4a8bd\",\"type\":\"ToolbarBox\"},{\"id\":\"2275a8b7-ad97-4149-83da-943cbe10b114\",\"type\":\"Column\"}]},\"id\":\"9a507915-07b7-45ff-8653-9d415654003d\",\"type\":\"Column\"},{\"attributes\":{\"plot\":null,\"text\":\"FRCC 0.0% to 0.3% Solar\"},\"id\":\"3e5b9083-e23e-4574-8827-0bdb711317e3\",\"type\":\"Title\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"37b66d1b-684a-4132-aa28-b95fd9ae107f\",\"type\":\"HoverTool\"}]},\"id\":\"a6803649-e3f1-4364-bc16-83e3b62bb05c\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"e356d81b-a8e5-4ac6-a07f-92283f42a0ee\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":{\"id\":\"cb9866d1-a565-4416-91ca-ded6d11ea033\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"42307245-5cc1-42a8-9167-3c4d730d33c2\",\"type\":\"BasicTicker\"}},\"id\":\"54ce7fc5-adbd-4638-a80d-a7343c4d71d1\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"datetime\":\"datetime\"},\"plot\":{\"id\":\"43a3bd42-c923-43e6-b84f-6c7fd87dc924\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"(x,y)\",\"($x, $y)\"],[\"datetime\",\"@datetime{%F}\"]]},\"id\":\"9150cd1f-ff52-4f4b-9ca2-371517b2a463\",\"type\":\"HoverTool\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"cdfbfb22-35e2-42e4-9cad-7e4e8ad4ddca\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"c16d720a-9a4c-4267-ad43-5614f7cd0e14\",\"type\":\"BasicTicker\"}},\"id\":\"9a5d1991-550b-4fa2-a40d-2edb14766fdc\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"908630fa-1862-4b97-9f84-e34e3bdd23c0\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"change in norm variability\",\"formatter\":{\"id\":\"4ad09551-cafb-4a54-ad4a-e32f8e2252a1\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"cb9866d1-a565-4416-91ca-ded6d11ea033\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4b205bdf-2fec-47ca-aa59-5ecb7fbd29d7\",\"type\":\"BasicTicker\"}},\"id\":\"ebcc86ea-e811-4794-bf0d-8d839b1ee00e\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"7a097323-5d97-48b3-8627-0452b47e4f37\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"6c969724-bb51-485b-ba0a-7a28474eaf25\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5b1eef66-8e85-4423-9712-97db45631535\",\"type\":\"BasicTicker\"}},\"id\":\"449d2e02-a0d7-4d97-a420-6850a2b9f1da\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null},\"id\":\"ef23b4f9-4064-484f-9c22-ededbda945f5\",\"type\":\"DataRange1d\"},{\"attributes\":{\"plot\":{\"id\":\"cdfbfb22-35e2-42e4-9cad-7e4e8ad4ddca\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"25a809b2-6445-4f80-b744-215593795a78\",\"type\":\"BasicTicker\"}},\"id\":\"19a1c2ae-f91c-4cf8-be74-03b5e5006fbc\",\"type\":\"Grid\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"7ab017f3-2ce4-4bcd-8139-767c9018a5d3\",\"type\":\"HoverTool\"}]},\"id\":\"9ccd6bb9-6f69-4a67-aa30-43750b14ae3a\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"200c0b27-9bf8-4670-a431-60f83653dc9c\",\"type\":\"BasicTicker\"}],\"root_ids\":[\"9a507915-07b7-45ff-8653-9d415654003d\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"b5d75d22-b065-4461-8b87-870dbf71e0d1\",\"elementid\":\"d98fb72d-5309-48d0-bd44-619380a0baeb\",\"modelid\":\"9a507915-07b7-45ff-8653-9d415654003d\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"d98fb72d-5309-48d0-bd44-619380a0baeb\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_bokeh_plot(gen_index, 'Solar', 'change in Solar', \n",
    "                  'change in norm variability', y_range=(-1, 7))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-14T15:54:45.545427",
     "start_time": "2017-07-14T15:54:43.523296"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x150bab710>"
      ]
     },
     "execution_count": 235,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x151356a10>"
      ]
     },
     "execution_count": 235,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvgAAAJ3CAYAAADhxCXuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n2OBLkiRJKfIbqLsCpqoAh4AAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x150bc9190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order = ['MRO', 'SPP', 'RFC', 'ERCOT', 'FRCC', 'SERC',\n",
    "         'WECC', 'NPCC']\n",
    "def facet_scatter(x, y, c, **kwargs):\n",
    "    \"\"\"Draw scatterplot with point colors from a faceted DataFrame columns.\"\"\"\n",
    "    kwargs.pop(\"color\")\n",
    "    plt.scatter(x, y, c=c, **kwargs)\n",
    "\n",
    "vmin = gen_index['Normalized Index variability'].min()\n",
    "vmax = gen_index['Normalized Index variability'].max()\n",
    "cmap = plt.get_cmap('viridis')\n",
    "#sns.diverging_palette(240, 10, l=65, center=\"dark\", as_cmap=True)\n",
    "\n",
    "g = sns.FacetGrid(gen_index, col='region', col_wrap=3, aspect=1.2,\n",
    "                  col_order=order, palette='viridis')\n",
    "g.map(facet_scatter, 'percent Coal', 'percent Natural Gas', \n",
    "      'Normalized Index variability', alpha=0.5, s=100,\n",
    "      vmin=vmin, vmax=vmax, cmap=cmap)\n",
    "\n",
    "# Make space for the colorbar\n",
    "# g.fig.subplots_adjust(right=.92)\n",
    "\n",
    "# Define a new Axes where the colorbar will go\n",
    "# cax = g.fig.add_axes([.94, .25, .02, .6])\n",
    "cax = g.fig.add_axes([.82, .05, .02, .23])\n",
    "# Get a mappable object with the same colormap as the data\n",
    "points = plt.scatter([], [], c=[], vmin=vmin, vmax=vmax, cmap=cmap)\n",
    "\n",
    "# Draw the colorbar\n",
    "g.fig.colorbar(points, cax=cax).outline.set_visible(False)\n",
    "g.fig.text(.84, .3, 'Normalized Variability', ha='center')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-14T13:09:23.229155",
     "start_time": "2017-07-14T13:09:18.524007"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x13d980c90>"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x13aef74d0>"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvgAAAJ3CAYAAADhxCXuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x13a95ec90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order = ['MRO', 'SPP', 'RFC', 'ERCOT', 'FRCC', 'SERC',\n",
    "         'WECC', 'NPCC']\n",
    "def facet_scatter(x, y, c, **kwargs):\n",
    "    \"\"\"Draw scatterplot with point colors from a faceted DataFrame columns.\"\"\"\n",
    "    kwargs.pop(\"color\")\n",
    "    plt.scatter(x, y, c=c, **kwargs)\n",
    "\n",
    "vmin = gen_index['Normalized Index variability'].min()\n",
    "vmax = gen_index['Normalized Index variability'].max()\n",
    "cmap = plt.get_cmap('viridis')\n",
    "#sns.diverging_palette(240, 10, l=65, center=\"dark\", as_cmap=True)\n",
    "\n",
    "g = sns.FacetGrid(gen_index, col='region', col_wrap=3, aspect=1.2,\n",
    "                  col_order=order, palette='viridis')\n",
    "g.map(facet_scatter, 'percent Coal', 'percent Wind', \n",
    "      'Normalized Index variability', alpha=0.5, s=100,\n",
    "      vmin=vmin, vmax=vmax, cmap=cmap)\n",
    "\n",
    "# Make space for the colorbar\n",
    "# g.fig.subplots_adjust(right=.92)\n",
    "\n",
    "# Define a new Axes where the colorbar will go\n",
    "# cax = g.fig.add_axes([.94, .25, .02, .6])\n",
    "cax = g.fig.add_axes([.82, .05, .02, .23])\n",
    "# Get a mappable object with the same colormap as the data\n",
    "points = plt.scatter([], [], c=[], vmin=vmin, vmax=vmax, cmap=cmap)\n",
    "\n",
    "# Draw the colorbar\n",
    "g.fig.colorbar(points, cax=cax).outline.set_visible(False)\n",
    "g.fig.text(.84, .3, 'Normalized Variability', ha='center')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-14T13:37:32.828967",
     "start_time": "2017-07-14T13:37:32.707736"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import ternary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-14T13:39:30.935136",
     "start_time": "2017-07-14T13:39:30.701899"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD4CAYAAAD8Zh1EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nGFEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x139ef0d50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "points = gen_index\n",
    "\n",
    "figure, tax = ternary.figure(scale=1)\n",
    "tax.scatter()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-14T14:46:11.010649",
     "start_time": "2017-07-14T14:46:04.183355"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x14d450990>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1503e67d0>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14f7e8490>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14f5a7090>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14f791490>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14f728610>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14f6f6a50>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14f70d090>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14f77e710>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14f9fc850>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14f76de50>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14fa3d210>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14fa28450>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14fa3d310>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14fbbbb50>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14fb99690>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14fa28f90>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14fc2c390>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14fbffcd0>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14fc16b90>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14a1e7350>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14fc86ad0>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14fc9c990>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14eb1f7d0>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14ec62110>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14ea27290>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmkAAAJoCAYAAAA9LXZ3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\noZM0CoVCoVAoFA3k/4AYz2PIjSj8AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x14f7531d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_col = 'Normalized Index variability'\n",
    "order = ['MRO', 'SPP', 'RFC', 'ERCOT', 'FRCC', 'SERC',\n",
    "         'WECC', 'NPCC']\n",
    "gen_index['points'] = gen_index[['percent Coal', 'percent Natural Gas', 'percent Wind']].apply(tuple, axis=1)\n",
    "def ternary_facet_scatter(points, c, **kwargs):\n",
    "    \"\"\"Draw scatterplot with point colors from a faceted DataFrame columns.\"\"\"\n",
    "    kwargs.pop(\"color\")\n",
    "    scale = 1\n",
    "    ax = plt.gca()\n",
    "    figure, tax = ternary.figure(ax=ax, scale=scale)\n",
    "    tax.boundary(linewidth = 1.0)\n",
    "#     tax.gridlines(multiple=10,color=\"blue\")\n",
    "    tax.scatter(points, c=c, **kwargs)\n",
    "    tax.left_axis_label(\"Percent Wind\")\n",
    "    tax.right_axis_label(\"Percent Natural Gas\")\n",
    "    tax.bottom_axis_label(\"Percent Coal\")\n",
    "    tax.gridlines(multiple=.25, color='k', linestyle='-')\n",
    "    tax.ticks(axis='lbr', multiple=0.25, linewidth=0)\n",
    "    tax.clear_matplotlib_ticks()\n",
    "#     plt.scatter(x, y, c=c, **kwargs)\n",
    "\n",
    "vmin = gen_index[color_col].min()\n",
    "vmax = gen_index[color_col].max()\n",
    "cmap = plt.get_cmap('viridis')\n",
    "#sns.diverging_palette(240, 10, l=65, center=\"dark\", as_cmap=True)\n",
    "\n",
    "with sns.axes_style('white', {'axes.linewidth': 0,\n",
    "                             'axes.grid': False}):\n",
    "    g = sns.FacetGrid(gen_index, col='region', col_wrap=3,\n",
    "                      col_order=order, palette='viridis')\n",
    "    g.map(ternary_facet_scatter, 'points',\n",
    "          color_col, alpha=0.5, s=100, cmap=cmap,\n",
    "          vmin=vmin, vmax=vmax)\n",
    "\n",
    "    # Make space for the colorbar\n",
    "    # g.fig.subplots_adjust(right=.92)\n",
    "\n",
    "    # Define a new Axes where the colorbar will go\n",
    "    # cax = g.fig.add_axes([.94, .25, .02, .6])\n",
    "    cax = g.fig.add_axes([.82, .05, .02, .23])\n",
    "    # Get a mappable object with the same colormap as the data\n",
    "    points = plt.scatter([], [], c=[], cmap=cmap, vmin=vmin, vmax=vmax)\n",
    "\n",
    "    # Draw the colorbar\n",
    "    g.fig.colorbar(points, cax=cax).outline.set_visible(False)\n",
    "    g.fig.text(.84, .3, 'Normalized Variability', ha='center')\n",
    "    axes = g.axes.flatten()\n",
    "    for ax, title in zip(axes, order):\n",
    "        ax.set_title(title)\n",
    "        ax.set_xlabel('')\n",
    "        ax.set_ylabel('')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-07-14T14:51:42.326447",
     "start_time": "2017-07-14T14:51:42.074534"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x150a3ad90>"
      ]
     },
     "execution_count": 232,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAADqCAYAAAABMJbOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x150949190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = gen_index.loc[gen_index['region'] == 'FRCC']\n",
    "points = df['points']\n",
    "c = df['Normalized Index variability']\n",
    "scale = 1\n",
    "# ax = plt.gca()\n",
    "figure, tax = ternary.figure(scale=scale)\n",
    "tax.boundary(linewidth = 1.0)\n",
    "#     tax.gridlines(multiple=10,color=\"blue\")\n",
    "tax.scatter(points, c=c)\n",
    "tax.left_axis_label(\"Percent Wind\")\n",
    "tax.right_axis_label(\"Percent Natural Gas\")\n",
    "tax.bottom_axis_label(\"Percent Coal\")\n",
    "tax.gridlines(multiple=.25, color='k', linestyle='-')\n",
    "tax.ticks(axis='lbr', multiple=0.25, linewidth=0)\n",
    "tax.clear_matplotlib_ticks()\n",
    "tax.show()"
   ]
  }
 ],
 "metadata": {
  "_draft": {
   "nbviewer_url": "https://gist.github.com/36e5e4586faa6a2abfe6e173fe278d38"
  },
  "gist": {
   "data": {
    "description": "Updates and bug fix",
    "public": false
   },
   "id": "36e5e4586faa6a2abfe6e173fe278d38"
  },
  "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": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}