GCC_FaciesClassification/05 - Facies Determination.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 05 - Facies Classifier\n",
    "\n",
    "George Crowther\n",
    "\n",
    "This is an extension / amalgamation of prior entries. The workflow remains not dissimilar to those completed previously, this is:\n",
    "- Load and set strings to integers\n",
    "- Cursory data examination, this workbook does not attempt to detail the full data analysis\n",
    "- Group data by well and brute force feature creation\n",
    "    - Feature creation focuses on bringing results from adjacent samples into features\n",
    "    - Look at some ratios between features\n",
    "- Used TPOT to train a classifier (exported_pipeline)\n",
    "- Feature creation and extraction on test dataset\n",
    "- Result prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:80% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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=\"07ddf323-939e-4a98-8c0a-8d557dcbf87d\">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",
       "      document.getElementById(\"07ddf323-939e-4a98-8c0a-8d557dcbf87d\").textContent = \"BokehJS successfully loaded.\";\n",
       "    } else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function run_callbacks() {\n",
       "    window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "    delete window._bokeh_onload_callbacks\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(\"07ddf323-939e-4a98-8c0a-8d557dcbf87d\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '07ddf323-939e-4a98-8c0a-8d557dcbf87d' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.4.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "      document.getElementById(\"07ddf323-939e-4a98-8c0a-8d557dcbf87d\").textContent = \"BokehJS is loading...\";\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.4.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.4.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.4.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.4.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(\"07ddf323-939e-4a98-8c0a-8d557dcbf87d\")).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": [
    "import pandas as pd\n",
    "import bokeh.plotting as bk\n",
    "import numpy as np\n",
    "\n",
    "from sklearn import preprocessing\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "from tpot import TPOTClassifier, TPOTRegressor\n",
    "\n",
    "import sys\n",
    "sys.path.append('~/home/slygeorge/Documents/Python/SEG ML Competition')\n",
    "\n",
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:80% !important; }</style>\"))\n",
    "\n",
    "bk.output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Input file paths\n",
    "train_path = '../training_data.csv'\n",
    "\n",
    "# Read training data to dataframe\n",
    "train = pd.read_csv(train_path)\n",
    "\n",
    "# TPOT library requires that the target class is renamed to 'class'\n",
    "train.rename(columns={'Facies': 'class'}, inplace=True)\n",
    "\n",
    "well_names = train['Well Name']\n",
    "\n",
    "facies_labels = ['SS', 'CSiS', 'FSiS', 'SiSh', 'MS', 'WS', 'D', 'PS', 'BS']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>class</th>\n",
       "      <th>Formation</th>\n",
       "      <th>Well Name</th>\n",
       "      <th>Depth</th>\n",
       "      <th>GR</th>\n",
       "      <th>ILD_log10</th>\n",
       "      <th>DeltaPHI</th>\n",
       "      <th>PHIND</th>\n",
       "      <th>PE</th>\n",
       "      <th>NM_M</th>\n",
       "      <th>RELPOS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>A1 SH</td>\n",
       "      <td>SHRIMPLIN</td>\n",
       "      <td>2793.0</td>\n",
       "      <td>77.45</td>\n",
       "      <td>0.664</td>\n",
       "      <td>9.9</td>\n",
       "      <td>11.915</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>A1 SH</td>\n",
       "      <td>SHRIMPLIN</td>\n",
       "      <td>2793.5</td>\n",
       "      <td>78.26</td>\n",
       "      <td>0.661</td>\n",
       "      <td>14.2</td>\n",
       "      <td>12.565</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>A1 SH</td>\n",
       "      <td>SHRIMPLIN</td>\n",
       "      <td>2794.0</td>\n",
       "      <td>79.05</td>\n",
       "      <td>0.658</td>\n",
       "      <td>14.8</td>\n",
       "      <td>13.050</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>A1 SH</td>\n",
       "      <td>SHRIMPLIN</td>\n",
       "      <td>2794.5</td>\n",
       "      <td>86.10</td>\n",
       "      <td>0.655</td>\n",
       "      <td>13.9</td>\n",
       "      <td>13.115</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1</td>\n",
       "      <td>0.936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>A1 SH</td>\n",
       "      <td>SHRIMPLIN</td>\n",
       "      <td>2795.0</td>\n",
       "      <td>74.58</td>\n",
       "      <td>0.647</td>\n",
       "      <td>13.5</td>\n",
       "      <td>13.300</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1</td>\n",
       "      <td>0.915</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   class Formation  Well Name   Depth     GR  ILD_log10  DeltaPHI   PHIND  \\\n",
       "0      3     A1 SH  SHRIMPLIN  2793.0  77.45      0.664       9.9  11.915   \n",
       "1      3     A1 SH  SHRIMPLIN  2793.5  78.26      0.661      14.2  12.565   \n",
       "2      3     A1 SH  SHRIMPLIN  2794.0  79.05      0.658      14.8  13.050   \n",
       "3      3     A1 SH  SHRIMPLIN  2794.5  86.10      0.655      13.9  13.115   \n",
       "4      3     A1 SH  SHRIMPLIN  2795.0  74.58      0.647      13.5  13.300   \n",
       "\n",
       "    PE  NM_M  RELPOS  \n",
       "0  4.6     1   1.000  \n",
       "1  4.1     1   0.979  \n",
       "2  3.6     1   0.957  \n",
       "3  3.5     1   0.936  \n",
       "4  3.4     1   0.915  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>class</th>\n",
       "      <th>Depth</th>\n",
       "      <th>GR</th>\n",
       "      <th>ILD_log10</th>\n",
       "      <th>DeltaPHI</th>\n",
       "      <th>PHIND</th>\n",
       "      <th>PE</th>\n",
       "      <th>NM_M</th>\n",
       "      <th>RELPOS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3232.000000</td>\n",
       "      <td>3232.000000</td>\n",
       "      <td>3232.000000</td>\n",
       "      <td>3232.000000</td>\n",
       "      <td>3232.000000</td>\n",
       "      <td>3232.000000</td>\n",
       "      <td>3232.000000</td>\n",
       "      <td>3232.000000</td>\n",
       "      <td>3232.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.422030</td>\n",
       "      <td>2875.824567</td>\n",
       "      <td>66.135769</td>\n",
       "      <td>0.642719</td>\n",
       "      <td>3.559642</td>\n",
       "      <td>13.483213</td>\n",
       "      <td>3.725014</td>\n",
       "      <td>1.498453</td>\n",
       "      <td>0.520287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.504243</td>\n",
       "      <td>131.006274</td>\n",
       "      <td>30.854826</td>\n",
       "      <td>0.241845</td>\n",
       "      <td>5.228948</td>\n",
       "      <td>7.698980</td>\n",
       "      <td>0.896152</td>\n",
       "      <td>0.500075</td>\n",
       "      <td>0.286792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>2573.500000</td>\n",
       "      <td>13.250000</td>\n",
       "      <td>-0.025949</td>\n",
       "      <td>-21.832000</td>\n",
       "      <td>0.550000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2791.000000</td>\n",
       "      <td>46.918750</td>\n",
       "      <td>0.492750</td>\n",
       "      <td>1.163750</td>\n",
       "      <td>8.346750</td>\n",
       "      <td>3.100000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.273000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>2893.500000</td>\n",
       "      <td>65.721500</td>\n",
       "      <td>0.624437</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>12.150000</td>\n",
       "      <td>3.551500</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.526000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>2980.000000</td>\n",
       "      <td>79.626250</td>\n",
       "      <td>0.812735</td>\n",
       "      <td>6.432500</td>\n",
       "      <td>16.453750</td>\n",
       "      <td>4.300000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.767250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>3122.500000</td>\n",
       "      <td>361.150000</td>\n",
       "      <td>1.480000</td>\n",
       "      <td>18.600000</td>\n",
       "      <td>84.400000</td>\n",
       "      <td>8.094000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             class        Depth           GR    ILD_log10     DeltaPHI  \\\n",
       "count  3232.000000  3232.000000  3232.000000  3232.000000  3232.000000   \n",
       "mean      4.422030  2875.824567    66.135769     0.642719     3.559642   \n",
       "std       2.504243   131.006274    30.854826     0.241845     5.228948   \n",
       "min       1.000000  2573.500000    13.250000    -0.025949   -21.832000   \n",
       "25%       2.000000  2791.000000    46.918750     0.492750     1.163750   \n",
       "50%       4.000000  2893.500000    65.721500     0.624437     3.500000   \n",
       "75%       6.000000  2980.000000    79.626250     0.812735     6.432500   \n",
       "max       9.000000  3122.500000   361.150000     1.480000    18.600000   \n",
       "\n",
       "             PHIND           PE         NM_M       RELPOS  \n",
       "count  3232.000000  3232.000000  3232.000000  3232.000000  \n",
       "mean     13.483213     3.725014     1.498453     0.520287  \n",
       "std       7.698980     0.896152     0.500075     0.286792  \n",
       "min       0.550000     0.200000     1.000000     0.010000  \n",
       "25%       8.346750     3.100000     1.000000     0.273000  \n",
       "50%      12.150000     3.551500     1.000000     0.526000  \n",
       "75%      16.453750     4.300000     2.000000     0.767250  \n",
       "max      84.400000     8.094000     2.000000     1.000000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.dropna().describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"51e06b90-2848-4aed-9337-225be684fbe6\"></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",
       "        document.getElementById(\"51e06b90-2848-4aed-9337-225be684fbe6\").textContent = \"BokehJS successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      delete window._bokeh_onload_callbacks\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(\"51e06b90-2848-4aed-9337-225be684fbe6\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '51e06b90-2848-4aed-9337-225be684fbe6' 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 = {\"cb9ebc5a-31a4-4f59-8943-95328ecef8fb\":{\"roots\":{\"references\":[{\"attributes\":{\"formatter\":{\"id\":\"e451a77c-bcb2-4e12-9e15-8da01dbc0b54\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"5d35d354-66f6-4b20-97bf-ddac90cea36f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e19f82f4-9549-431c-abc0-06cc7e988b48\",\"type\":\"BasicTicker\"}},\"id\":\"460e068f-0823-4c2b-99cb-902fa0c14a45\",\"type\":\"LinearAxis\"},{\"attributes\":{\"formatter\":{\"id\":\"55789866-a64b-4602-bb2a-ad8bdbfebb4e\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"004e69c2-709b-4536-9ebc-1edeaeb91a60\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"626b1280-cf7f-4c14-9160-414e1c5de25c\",\"type\":\"BasicTicker\"}},\"id\":\"10973006-04d1-4ec0-9bc4-b9816b296ba8\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"921f7a3c-9177-444c-a79d-9d321d3874b5\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null},\"id\":\"9da57718-8899-4fed-b672-fb0a699d01dc\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null},\"id\":\"4d18155b-7882-44b1-8a0d-4c8f08dca5ac\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"9ef59370-8512-4cc0-91d3-5a5990217620\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"a4c022cc-eb4a-400c-8db4-0ff26c81e2ce\",\"type\":\"Line\"},{\"attributes\":{\"plot\":{\"id\":\"97f849ac-ee69-45c0-a5c2-64cc3b3d00e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"65a84237-5482-40fd-b369-d52946652c52\",\"type\":\"BasicTicker\"}},\"id\":\"4be9916b-6332-4e52-8431-30d96144e668\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"7bc4a4e7-c7f8-4acf-bdf4-1ec5835497ed\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"0671d79e-3169-4cd6-859f-84b3d121e576\",\"type\":\"BasicTicker\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"6c9634a2-ab45-44e2-a8f0-9db36e99fd29\",\"type\":\"PanTool\"},{\"id\":\"0c25024f-2739-4722-a9ea-050109935157\",\"type\":\"WheelZoomTool\"},{\"id\":\"61bd2a99-df5f-4ace-a321-ab527e13b680\",\"type\":\"BoxZoomTool\"},{\"id\":\"e1411058-89b1-4845-8ff2-da7dba512099\",\"type\":\"SaveTool\"},{\"id\":\"a9724a89-d30c-45e7-b337-8040ad439e72\",\"type\":\"ResetTool\"},{\"id\":\"db6e44ec-508d-40b3-b6c2-b10a102299b4\",\"type\":\"HelpTool\"}]},\"id\":\"0f999ebd-a5d5-42de-9068-e780832c215e\",\"type\":\"Toolbar\"},{\"attributes\":{\"formatter\":{\"id\":\"3db98c9e-7017-4e68-b375-36d49ef8ec2a\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"5d35d354-66f6-4b20-97bf-ddac90cea36f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6c55c02a-098e-4989-9ab7-aa37f3ab3d32\",\"type\":\"BasicTicker\"}},\"id\":\"8f8a3e66-79c3-47d4-b469-33e3771494e0\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"e92c0735-6ba6-4392-87f6-8d900ab7d198\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"5db46398-4a69-4687-9570-dd81870dcb64\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"3db98c9e-7017-4e68-b375-36d49ef8ec2a\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":{\"id\":\"5d35d354-66f6-4b20-97bf-ddac90cea36f\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"e7573fff-83f4-4ac3-b869-4d63a6309b1a\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"6c55c02a-098e-4989-9ab7-aa37f3ab3d32\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"fd2f4804-6f26-4e77-88ac-7c5542a8336c\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":null,\"text\":\"SHANKLE\"},\"id\":\"d3b468ab-5078-4d64-b039-ae5307e689fd\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null},\"id\":\"f39ede26-ad19-4928-b818-11a4d99faebc\",\"type\":\"DataRange1d\"},{\"attributes\":{\"line_color\":{\"value\":\"red\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"d83bdb74-b829-4d36-921c-96cf5e0494bb\",\"type\":\"Line\"},{\"attributes\":{\"formatter\":{\"id\":\"2e59b050-c152-4f8a-93c3-9e0fc97e9fe1\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"e92c0735-6ba6-4392-87f6-8d900ab7d198\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a9178735-3ef1-407b-ab39-514d54337097\",\"type\":\"BasicTicker\"}},\"id\":\"542ec7b0-a087-411b-9b70-603e0ff8e249\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"3e1cb9da-2a41-4ccc-bb6c-482bcb8f5068\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"e6e81577-b9cf-4fbe-af15-84459c48c0cb\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"f7df2f8f-d66a-42da-b3a9-e3adc8939c02\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"0cff6e2a-8715-46a3-9eba-28a90c6b7bd7\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"formatter\":{\"id\":\"fd2f4804-6f26-4e77-88ac-7c5542a8336c\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"226b48f4-0520-4f31-b062-d95935e680e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"0e7ce199-e2a8-43a6-ac1a-bd30303fab11\",\"type\":\"BasicTicker\"}},\"id\":\"858f7135-3f91-4ab0-bba2-a1ff58ae202e\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":null,\"text\":\"Recruit F9\"},\"id\":\"208410be-d516-43be-9cdf-4aa996b69085\",\"type\":\"Title\"},{\"attributes\":{\"plot\":null,\"text\":\"SHRIMPLIN\"},\"id\":\"2bd6e22c-4f78-4cbe-a2ae-a943b7fb8aee\",\"type\":\"Title\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"4f421652-2e34-4f7e-90ad-c13a0ddd3cf4\",\"type\":\"PanTool\"},{\"id\":\"d50f9dc5-792b-41fb-96f5-7b5b347f01ef\",\"type\":\"WheelZoomTool\"},{\"id\":\"11c878ec-7bc1-474e-9098-94f23e8604e6\",\"type\":\"BoxZoomTool\"},{\"id\":\"d5f2f4c4-11f3-4427-85fe-9a5b7a1c1a9e\",\"type\":\"SaveTool\"},{\"id\":\"c2bc2734-0fc7-4471-99c7-4ad7f82033e1\",\"type\":\"ResetTool\"},{\"id\":\"d8581a75-8fc1-4848-938c-6579d060310a\",\"type\":\"HelpTool\"}]},\"id\":\"9fceb8c9-37cd-4e8b-826e-17cfa0cef410\",\"type\":\"Toolbar\"},{\"attributes\":{\"line_color\":{\"value\":\"blue\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e6e81577-b9cf-4fbe-af15-84459c48c0cb\",\"type\":\"Line\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"14464751-18c2-4044-bf5d-dbe244aea85a\",\"type\":\"Line\"},{\"attributes\":{\"plot\":null,\"text\":\"LUKE G U\"},\"id\":\"2fac84dc-f3f9-4283-8fe4-06b2212f1da1\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[415]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[415]}}},\"id\":\"d3bc535e-2777-4838-b762-d0020b10fca8\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"5db46398-4a69-4687-9570-dd81870dcb64\",\"type\":\"PanTool\"},{\"id\":\"e515d38e-d7d7-4ab8-8bb4-5a70b88187b5\",\"type\":\"WheelZoomTool\"},{\"id\":\"16783695-daf2-4c46-abb4-5d44fce21abb\",\"type\":\"BoxZoomTool\"},{\"id\":\"740fddaf-0512-4da2-bdd7-435827ad801b\",\"type\":\"SaveTool\"},{\"id\":\"4814ace1-3534-481b-b02c-6ec78ecbdbb6\",\"type\":\"ResetTool\"},{\"id\":\"72d82bbc-c34e-4f61-97e1-0b0a1e22fbf2\",\"type\":\"HelpTool\"}]},\"id\":\"fb96c15b-f11b-46bf-9bb9-2dbc3546062b\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null},\"id\":\"1826aea6-9e2d-4bd4-8f03-2a38cbdcdddc\",\"type\":\"DataRange1d\"},{\"attributes\":{\"plot\":{\"id\":\"004e69c2-709b-4536-9ebc-1edeaeb91a60\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"22471e02-ec20-4ab1-a435-364a508d37c6\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"a3bb6a61-4de3-46f7-a8dc-635d0964cc4e\",\"type\":\"ToolEvents\"},{\"attributes\":{\"plot\":{\"id\":\"004e69c2-709b-4536-9ebc-1edeaeb91a60\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"a1b30e0d-bdc2-44aa-bf00-76f53e36d557\",\"type\":\"HelpTool\"},{\"attributes\":{\"data_source\":{\"id\":\"0732a30b-6a1d-4415-86ee-b4c93d43c69c\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"628086fe-5f96-4008-ab3a-2747f661c7a5\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"bbede866-e5be-47e9-b1ab-c138717b0343\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"a0be3be8-d62e-4715-9efe-a80fab5cc402\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"0b38a35d-38e0-45f3-9844-3d4d87bca596\",\"type\":\"ToolEvents\"},{\"attributes\":{\"plot\":{\"id\":\"b893482e-f461-4386-ad7b-6a73afd4bec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"b8d2b4fc-885b-4b2b-acc9-18820eb647e0\",\"type\":\"HelpTool\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"326d73b0-12e0-4f52-b36b-1b57631843e8\",\"type\":\"PanTool\"},{\"id\":\"8292e4b9-1a1d-44ad-adcf-2630823aef60\",\"type\":\"WheelZoomTool\"},{\"id\":\"1016bd2a-802f-4215-8ab1-8acbe9cd8264\",\"type\":\"BoxZoomTool\"},{\"id\":\"444ec2c2-2cad-41cf-a2e8-d03092ffe128\",\"type\":\"SaveTool\"},{\"id\":\"1b40acbb-d6ca-4814-b1c4-cb94415585ae\",\"type\":\"ResetTool\"},{\"id\":\"32776661-c366-4227-b30f-31c523bd9273\",\"type\":\"HelpTool\"}]},\"id\":\"cc49dab0-164c-4fe5-8fa1-6cb61428c425\",\"type\":\"Toolbar\"},{\"attributes\":{\"overlay\":{\"id\":\"d46b50f5-ef89-4e2c-8283-2e3fc8cedb1c\",\"type\":\"BoxAnnotation\"},\"plot\":{\"id\":\"97f849ac-ee69-45c0-a5c2-64cc3b3d00e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"61bd2a99-df5f-4ace-a321-ab527e13b680\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"plot\":{\"id\":\"97f849ac-ee69-45c0-a5c2-64cc3b3d00e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"db6e44ec-508d-40b3-b6c2-b10a102299b4\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"754bd792-cd73-423a-8dbf-4fdd5cd329e6\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"e19f82f4-9549-431c-abc0-06cc7e988b48\",\"type\":\"BasicTicker\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"d46b50f5-ef89-4e2c-8283-2e3fc8cedb1c\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"callback\":null},\"id\":\"b83aee8e-5b4c-4b0b-bdd1-06361eedde34\",\"type\":\"DataRange1d\"},{\"attributes\":{\"plot\":{\"id\":\"226b48f4-0520-4f31-b062-d95935e680e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"1b40acbb-d6ca-4814-b1c4-cb94415585ae\",\"type\":\"ResetTool\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[68]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[68]}}},\"id\":\"3c68905e-1df9-47e5-882d-ae8eaa35939a\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"affa2a63-b3b2-4d75-8162-2abd767ca563\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"data_source\":{\"id\":\"1a8bf3d9-2651-4039-8f6e-984b220e4831\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"140d3570-ce5e-4c2e-b7bf-8432dc00f7b9\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"73d87349-034e-40c4-a6c5-3b244629fbf1\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"4e2f4959-af29-4f9d-ac72-3fbe2a5e0409\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"plot\":{\"id\":\"c365b97f-c5de-4d59-b2d7-bf2949994163\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"4f421652-2e34-4f7e-90ad-c13a0ddd3cf4\",\"type\":\"PanTool\"},{\"attributes\":{\"plot\":{\"id\":\"004e69c2-709b-4536-9ebc-1edeaeb91a60\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"c2c75012-2d5e-4e9b-8938-46e936219b22\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[463]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[463]}}},\"id\":\"22df004e-da75-406f-9024-10f29f91c85b\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_color\":{\"value\":\"blue\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"3cb0ef98-e479-41c3-a247-cfd69fd788b3\",\"type\":\"Line\"},{\"attributes\":{\"data_source\":{\"id\":\"ee0c6973-1b7a-4081-a0c8-f574599c76de\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"d83bdb74-b829-4d36-921c-96cf5e0494bb\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"14464751-18c2-4044-bf5d-dbe244aea85a\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"992e83ba-b36f-47ac-a802-90137594d6c6\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"9c026e41-5198-49a5-b01f-f666ea7ce611\",\"type\":\"BasicTicker\"},{\"attributes\":{\"below\":[{\"id\":\"7a1d2b08-fa26-480b-ac8c-484ea6583064\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"cae9a877-9e72-4c84-99f8-82694a6eaafe\",\"type\":\"LinearAxis\"}],\"plot_height\":500,\"plot_width\":150,\"renderers\":[{\"id\":\"7a1d2b08-fa26-480b-ac8c-484ea6583064\",\"type\":\"LinearAxis\"},{\"id\":\"4be9916b-6332-4e52-8431-30d96144e668\",\"type\":\"Grid\"},{\"id\":\"cae9a877-9e72-4c84-99f8-82694a6eaafe\",\"type\":\"LinearAxis\"},{\"id\":\"22eea386-9b03-4710-a21d-ad994af86624\",\"type\":\"Grid\"},{\"id\":\"d46b50f5-ef89-4e2c-8283-2e3fc8cedb1c\",\"type\":\"BoxAnnotation\"},{\"id\":\"0cff6e2a-8715-46a3-9eba-28a90c6b7bd7\",\"type\":\"GlyphRenderer\"},{\"id\":\"28604d8b-7eb3-4497-8a0f-cf221fcae8cc\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"98631a6c-53a7-40d1-91b0-ca6ab229f6a3\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"4eca2994-c4d6-4d44-8467-9e92426988d5\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"0f999ebd-a5d5-42de-9068-e780832c215e\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"f39ede26-ad19-4928-b818-11a4d99faebc\",\"type\":\"DataRange1d\"},\"y_range\":{\"id\":\"f7e0bec1-1397-4767-b34a-49bbc75fef73\",\"type\":\"DataRange1d\"}},\"id\":\"97f849ac-ee69-45c0-a5c2-64cc3b3d00e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":{\"id\":\"1b5867f8-a89f-4a31-80d0-f691bbc812b4\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"17f81be8-bd45-46e6-8a0f-8418de9bfa3b\",\"type\":\"PanTool\"},{\"attributes\":{\"plot\":null,\"text\":\"CROSS H CATTLE\"},\"id\":\"98631a6c-53a7-40d1-91b0-ca6ab229f6a3\",\"type\":\"Title\"},{\"attributes\":{\"line_color\":{\"value\":\"blue\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"15cbc3bc-efd0-42fe-a657-29c53d3eff12\",\"type\":\"Line\"},{\"attributes\":{\"data_source\":{\"id\":\"3c68905e-1df9-47e5-882d-ae8eaa35939a\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"3cb0ef98-e479-41c3-a247-cfd69fd788b3\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"2f47230c-5d11-4e67-acc4-2d345426252a\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"14c0231d-e975-49eb-aa15-618f6006ea63\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"overlay\":{\"id\":\"affa2a63-b3b2-4d75-8162-2abd767ca563\",\"type\":\"BoxAnnotation\"},\"plot\":{\"id\":\"c365b97f-c5de-4d59-b2d7-bf2949994163\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"11c878ec-7bc1-474e-9098-94f23e8604e6\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"plot\":{\"id\":\"1b5867f8-a89f-4a31-80d0-f691bbc812b4\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"8aacc945-8da7-435c-b171-8a199f855386\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"overlay\":{\"id\":\"ee6afa04-4632-45b5-85b4-b663b95108d0\",\"type\":\"BoxAnnotation\"},\"plot\":{\"id\":\"004e69c2-709b-4536-9ebc-1edeaeb91a60\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"904bdb58-7c85-4380-933e-054b181717e2\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"73d87349-034e-40c4-a6c5-3b244629fbf1\",\"type\":\"Line\"},{\"attributes\":{\"callback\":null},\"id\":\"dd918365-f077-4e21-917e-8b0df4ebe914\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"23b4ce64-ce41-4ede-81cc-514a2976a5b7\",\"type\":\"ToolEvents\"},{\"attributes\":{\"plot\":{\"id\":\"1b5867f8-a89f-4a31-80d0-f691bbc812b4\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"8571f5be-14b6-4018-b5d3-92d7a038fa87\",\"type\":\"HelpTool\"},{\"attributes\":{\"overlay\":{\"id\":\"c90e8755-ebc5-4935-9c93-ecab0638aa5e\",\"type\":\"BoxAnnotation\"},\"plot\":{\"id\":\"b893482e-f461-4386-ad7b-6a73afd4bec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"5a166aad-401d-422c-a1a4-cb6ef249e9a8\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"plot\":{\"id\":\"5d35d354-66f6-4b20-97bf-ddac90cea36f\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"c6aec0d0-e796-4fcd-b1e8-0f02140982d3\",\"type\":\"PanTool\"},{\"attributes\":{\"data_source\":{\"id\":\"4d6a1456-6f8d-4f4e-b37a-464b59203c76\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"eb64c654-c564-4c5b-a16a-fbde9e11f14d\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"faac52d8-69c4-4043-a2f4-daa3febbc2cf\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"cba70271-a8ae-4ea8-965d-7e8718d1e2ec\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"plot\":{\"id\":\"1b5867f8-a89f-4a31-80d0-f691bbc812b4\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"2a0417dc-c7a2-4c21-ba8e-b1a359f4c4db\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"fe684951-fd55-4bdd-8cee-6a41615ec233\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"overlay\":{\"id\":\"fb9aedb2-82fa-4aa2-842f-0644ba8e7cab\",\"type\":\"BoxAnnotation\"},\"plot\":{\"id\":\"5d35d354-66f6-4b20-97bf-ddac90cea36f\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"9f9f1463-f99d-4d4d-9928-a0ef35451d6a\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"b893482e-f461-4386-ad7b-6a73afd4bec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"c21c3d63-877d-4bdd-8ec6-6d28c5e57127\",\"type\":\"BasicTicker\"}},\"id\":\"fd884808-9c57-46b4-adf3-5f0a11979d4f\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":{\"id\":\"226b48f4-0520-4f31-b062-d95935e680e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"8292e4b9-1a1d-44ad-adcf-2630823aef60\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"callback\":null},\"id\":\"ee43a71f-b668-4855-aad6-473b3bd03393\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"c21c3d63-877d-4bdd-8ec6-6d28c5e57127\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"a9178735-3ef1-407b-ab39-514d54337097\",\"type\":\"BasicTicker\"},{\"attributes\":{\"formatter\":{\"id\":\"71e2cd8d-0724-4c7a-8d5a-0fa03ecca3f5\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"97f849ac-ee69-45c0-a5c2-64cc3b3d00e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"65a84237-5482-40fd-b369-d52946652c52\",\"type\":\"BasicTicker\"}},\"id\":\"7a1d2b08-fa26-480b-ac8c-484ea6583064\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"26e17dd2-af55-41d3-bbb1-cd171943479d\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"46b6aa84-834a-4ed0-9345-c2c49b529b50\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"d601f3ea-3bc3-4289-a972-358944bde25d\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"f8788b94-fe75-4c22-9316-12f3c4832ca0\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"plot\":{\"id\":\"97f849ac-ee69-45c0-a5c2-64cc3b3d00e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"e1411058-89b1-4845-8ff2-da7dba512099\",\"type\":\"SaveTool\"},{\"attributes\":{\"formatter\":{\"id\":\"7bc4a4e7-c7f8-4acf-bdf4-1ec5835497ed\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"226b48f4-0520-4f31-b062-d95935e680e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"29844283-4c60-4929-be71-6fee13e75b30\",\"type\":\"BasicTicker\"}},\"id\":\"8ed1ae69-54fa-4226-90d5-ce8210b31f4d\",\"type\":\"LinearAxis\"},{\"attributes\":{\"formatter\":{\"id\":\"fe684951-fd55-4bdd-8cee-6a41615ec233\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"1b5867f8-a89f-4a31-80d0-f691bbc812b4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"faf3b566-1c06-4f85-8bb9-58940290550c\",\"type\":\"BasicTicker\"}},\"id\":\"ff76f125-f841-4023-85a4-7eee094fdebd\",\"type\":\"LinearAxis\"},{\"attributes\":{\"overlay\":{\"id\":\"047cf53a-4f20-41ba-b52b-82c2e5181d1f\",\"type\":\"BoxAnnotation\"},\"plot\":{\"id\":\"e92c0735-6ba6-4392-87f6-8d900ab7d198\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"16783695-daf2-4c46-abb4-5d44fce21abb\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"004e69c2-709b-4536-9ebc-1edeaeb91a60\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"77d05e8f-924c-48c4-a94c-a88fb8f2c6ec\",\"type\":\"BasicTicker\"}},\"id\":\"3fc35347-8535-4d44-ba19-f6a4a86aede4\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null},\"id\":\"a4b20605-87a3-44f8-9797-47a922d0f803\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"6d493724-80c1-41fd-b186-53a5258dad63\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":{\"id\":\"e92c0735-6ba6-4392-87f6-8d900ab7d198\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"4814ace1-3534-481b-b02c-6ec78ecbdbb6\",\"type\":\"ResetTool\"},{\"attributes\":{\"line_color\":{\"value\":\"red\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"11e33d7a-097a-416a-af59-c78146d52a80\",\"type\":\"Line\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"379003f3-77a0-462c-9af2-3aea134319c3\",\"type\":\"Line\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"AAAAAAAADECIFtnO91MLQI/C9ShcjwlATmIQWDm0B0ChRbbz/dQHQEjhehSuRwlAYxBYObTICUAX2c73U+MKQClcj8L1KAtAz/dT46WbCEAUrkfhehQJQGq8dJMYBAhASOF6FK5HCUDJdr6fGi8GQIcW2c73UwRAf2q8dJMYBECIFtnO91MFQNv5fmq8dAZAu0kMAiuHB0ANAiuHFtkHQDq0yHa+nwhAXI/C9ShcCUBBYOXQItsIQH9qvHSTGAhA6SYxCKwcCED4U+Olm8QHQPp+arx0kwdAsp3vp8ZLBkDb+X5qvHQGQE5iEFg5tAZAjZduEoPABkAUrkfhehQGQKRwPQrXowRAOrTIdr6fBUBcj8L1KFwGQBsv3SQGgQdAu0kMAiuHBUAIrBxaZDsFQAAAAAAAAAZAVOOlm8QgB0DGSzeJQWAHQA0CK4cW2QdAhetRuB6FCECq8dJNYhAJQI/C9ShcjwpAsp3vp8ZLDUD6fmq8dJMRQHNoke18PxJA+n5qvHSTE0CWQ4ts53sUQDEIrBxaZBRA1XjpJjEIFEBI4XoUrscSQFYOLbKdbxFASOF6FK5HD0DkpZvEILALQEW28/3UeAtAYxBYObTIC0Cyne+nxksLQJ3vp8ZLNwxAMQisHFpkC0C7SQwCK4cLQM/3U+OlmwlAhetRuB6FCUDAyqFFtvMJQFyPwvUoXA1AnMQgsHLoEEArhxbZzvcSQCuHFtnOdxNAqvHSTWKQE0AxCKwcWuQUQCPb+X5qPBRA1HjpJjEIFUDUeOkmMQgVQJZDi2zn+xRAwMqhRbbzFUDAyqFFtnMXQFyPwvUo3BZAMQisHFpkF0BzaJHtfL8UQOOlm8QgMBRAAAAAAAAAE0DjpZvEIDATQJzEILByaBNADi2yne+nE0BI4XoUrkcUQJZDi2zn+xNApHA9CtcjE0Cyne+nxssSQA4tsp3vpxNAHVpkO9/PE0ArhxbZzvcRQIXrUbgehQ5AJQaBlUOLDUCkcD0K16MMQIGVQ4ts5w5ALIcW2c73DkBqvHSTGAQQQDMzMzMzMw5AZDvfT42XEEBkO99PjZcQQNV46SYxCBFA46WbxCAwE0DByqFFtnMQQOxRuB6F6wtA2/l+arx0CEDb+X5qvHQFQM/3U+OlmwhAMQisHFpkCkAX2c73U+MMQEA1XrpJDApAoUW28/3UCkAAAAAAAAAKQCPb+X5qvApAMzMzMzMzCUAIrBxaZDsIQI2XbhKDwAZAAAAAAAAABkBkO99PjZcFQBSuR+F6FAdAf2q8dJMYCkDy0k1iEFgLQJZDi2zn+wpAQWDl0CLbCUANAiuHFtkJQA0CK4cW2QpAyXa+nxovC0BjEFg5tMgKQGMQWDm0yApADi2yne+nC0BjEFg5tMgJQNR46SYxCAdAQWDl0CLbBUCq8dJNYhAIQE5iEFg5tAlAeOkmMQisB0BxPQrXo3AGQHNoke18PwdAsXJoke18DEDb+X5qvHQOQHE9CtejcA5Axks3iUFgEEB56SYxCKwRQNV46SYxCBNAOrTIdr6fFEBOYhBYOTQUQOOlm8QgMBRAOrTIdr6fEUAIrBxaZDsPQKwcWmQ73wxASOF6FK5HDkBzaJHtfD8RQDEIrBxaZBJAAAAAAACAE0Cq8dJNYpAQQM/3U+Olmw5AiBbZzvdTCkC/nxov3SQLQHE9CtejcAlApHA9CtejCEBWDi2yne8HQA4tsp3vpwhAJQaBlUOLC0BFtvP91HgNQClcj8L1KA5A1HjpJjEIDkBjEFg5tMgMQCPb+X5qvApApHA9CtejCEDJdr6fGi8IQM3MzMzMzAhARbbz/dR4CkC7SQwCK4cKQMDKoUW28wtAne+nxks3DEBkO99PjZcMQHjpJjEIrAlA2/l+arx0BUCWQ4ts5/sDQMl2vp8aLwVAjZduEoPAEUCyne+nxksVQBSuR+F6FBZAz/dT46WbFEBkO99PjRcUQPp+arx0kxJAz/dT46WbFEB56SYxCKwTQHnpJjEIrBNABoGVQ4vsEkAj2/l+ajwQQKRwPQrXoxBA+n5qvHSTEUBOYhBYObQTQPp+arx0kxRAOrTIdr6fFUCyne+nxksVQKRwPQrXoxVAnMQgsHLoE0BqvHSTGIQUQCPb+X5qvBRAMQisHFrkFEA/NV66SQwTQGq8dJMYBBBA5KWbxCCwDUCd76fGSzcMQBfZzvdT4wtAeOkmMQisB0BOYhBYObQFQPp+arx0kwdAZDvfT42XCEAxCKwcWmQLQMDKoUW28wpA+FPjpZvEDEDJdr6fGi8NQBSuR+F6FAxAVg4tsp3vCUCcxCCwcmgJQFyPwvUoXAlAQDVeukkMCUCWQ4ts5/sIQIXrUbgehQhArBxaZDvfB0ApXI/C9SgHQOkmMQisHAdAuB6F61G4CEDP91PjpZsJQKRwPQrXowhAv58aL90kCUB/arx0kxgMQKRwPQrXIxFAeekmMQgsEkBOYhBYOTQSQMZLN4lB4BJAOrTIdr6fEkDy0k1iEFgRQN0kBoGVwxFA46WbxCAwEkDy0k1iENgSQIcW2c73UxJAsXJoke18D0A6tMh2vp8KQEW28/3UeAZAeOkmMQisBUCxcmiR7XwHQDMzMzMzMwpAKVyPwvUoDEAzMzMzMzMLQDMzMzMzMwtAu0kMAiuHCkCTGARWDi0JQEW28/3UeAlArBxaZDvfCECBlUOLbOcJQOSlm8QgsApALIcW2c73CkAcWmQ7308KQGq8dJMYBAlADQIrhxbZCEAzMzMzMzMKQJ3vp8ZLNwpAFK5H4XoUCkD6fmq8dJMGQLtJDAIrhwZAhetRuB6FCECyne+nxssQQMDKoUW28xRATmIQWDk0FkDy0k1iEFgVQPLSTWIQWBZAI9v5fmo8E0CcxCCwcmgSQPLSTWIQWBJASOF6FK5HFUBqvHSTGAQVQI2XbhKDwAtAhetRuB6FB0BWDi2yne8EQNejcD0K1wZAHFpkO99PB0CWQ4ts5/sHQCPb+X5qvAhAu0kMAiuHCUAj2/l+arwMQN0kBoGVwxBAuB6F61G4E0CcxCCwcmgUQDq0yHa+nxRAOrTIdr6fFEBqvHSTGAQVQJzEILByaBRAuB6F61E4E0DByqFFtnMSQLKd76fGSxRAlkOLbOd7GUDGSzeJQSAgQOSlm8QgsBxAxks3iUFgGEAUrkfhehQXQIgW2c73UxVASOF6FK5HFEDGSzeJQWAUQFyPwvUo3BVASOF6FK5HF0Cyne+nxksVQGq8dJMYhBRA1XjpJjGIEkAUrkfhehQTQGq8dJMYBBNAarx0kxgEE0Cyne+nxksUQFYOLbKd7xNA8tJNYhBYE0CcxCCwcugTQA4tsp3vJxRAqvHSTWKQFECyne+nxssSQLKd76fGSxJAnMQgsHJoEkBqvHSTGAQTQDMzMzMzMw9ADQIrhxbZCUDAyqFFtvMFQHE9CtejcAZAz/dT46WbCEBcj8L1KFwMQFYOLbKd7wtAQDVeukkMC0AcWmQ7308KQEW28/3UeAlASOF6FK5HCUAzMzMzMzMJQOSlm8QgsAlAMQisHFpkCkAAAAAAAAANQHNoke18Pw1ApHA9CtejDkBWDi2yne8MQKwcWmQ73wxA2/l+arx0DUDkpZvEILAOQD81XrpJDBFAnMQgsHJoEEAOLbKd76cPQAAAAAAAAA5ALIcW2c73DkBjEFg5tMgPQDEIrBxaZA1A+FPjpZvEDEAj2/l+arwLQJzEILByaA1AVOOlm8QgDUDsUbgehesKQFYOLbKd7wlAnMQgsHJoCUAlBoGVQ4sKQEA1XrpJDAlAeOkmMQisCkC/nxov3SQMQJZDi2znexBAAAAAAAAAEEC4HoXrUTgRQLgehetROBJABoGVQ4vsEkCF61G4HoUOQFYOLbKd7whAAAAAAAAABkAOLbKd76cHQDq0yHa+nwhA3SQGgZVDCkDGSzeJQWAJQHNoke18PwhA2/l+arx0B0AlBoGVQ4sHQNv5fmq8dAlAf2q8dJMYCUANAiuHFtkKQNv5fmq8dAxADQIrhxbZC0ChRbbz/dQKQCUGgZVDiwtALIcW2c73DkDsUbgehWsQQFYOLbKdbxBAAAAAAACAEEAxCKwcWmQQQN0kBoGVQw5AjZduEoPADECPwvUoXI8MQDMzMzMzMw1ApHA9CtejD0ArhxbZzvcQQM/3U+OlmxFA1XjpJjGIEUDjpZvEILAQQIcW2c730xBA3SQGgZVDEEDjpZvEILAQQM/3U+Olmw9ATmIQWDm0D0BqvHSTGAQPQGQ730+NlxBAZDvfT40XEEAUrkfhehQPQCUGgZVDiw5Az/dT46UbEEDjpZvEILARQMZLN4lB4BFAlkOLbOd7EUBzaJHtfD8QQHNoke18PxBAPzVeukmMEEDsUbgehWsQQLgehetRuA9AMQisHFpkDUA=\",\"dtype\":\"float64\",\"shape\":[415]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[415]}}},\"id\":\"bb491148-5b95-43d6-9863-b21f3fab0c14\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"c88b633e-670c-456d-80ef-4060fd654f5b\",\"type\":\"Line\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[463]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[463]}}},\"id\":\"ee0c6973-1b7a-4081-a0c8-f574599c76de\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"plot\":{\"id\":\"b893482e-f461-4386-ad7b-6a73afd4bec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"fa88ee3f-0010-4a0d-a7bd-5e4253879bcf\",\"type\":\"BasicTicker\"}},\"id\":\"cf7c5700-ad11-4df5-8b99-cda95b9a6a4b\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":{\"id\":\"004e69c2-709b-4536-9ebc-1edeaeb91a60\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"d4e2eff2-c5e8-4b52-8a32-3c17c1901eb4\",\"type\":\"SaveTool\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"0dc207f3-0ccb-48f0-95cf-10f2f9133d4f\",\"type\":\"Line\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"e92c0735-6ba6-4392-87f6-8d900ab7d198\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"531136c2-a2d9-4245-90dc-ca99931b5188\",\"type\":\"BasicTicker\"}},\"id\":\"c3e453b6-d5af-4bef-b85b-37d9a8970919\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":null,\"text\":\"CHURCHMAN BIBLE\"},\"id\":\"33ac524a-0117-4dd8-b923-017fa24b3c48\",\"type\":\"Title\"},{\"attributes\":{\"plot\":{\"id\":\"1b5867f8-a89f-4a31-80d0-f691bbc812b4\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"b892f73c-386f-44a9-89e0-67128a3c742f\",\"type\":\"SaveTool\"},{\"attributes\":{\"plot\":{\"id\":\"b893482e-f461-4386-ad7b-6a73afd4bec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"8d58e893-2c52-4556-8ce4-48ee090c2f26\",\"type\":\"PanTool\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"c365b97f-c5de-4d59-b2d7-bf2949994163\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a92e5bfa-faaf-4bf8-aff4-6fbf40474ad7\",\"type\":\"BasicTicker\"}},\"id\":\"878e8740-e842-4947-8d21-7c953b36a19b\",\"type\":\"Grid\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"38cb5558-b1b7-4e4f-8c14-6f5332cfb289\",\"type\":\"Line\"},{\"attributes\":{\"data_source\":{\"id\":\"e74769e9-aad5-4a19-82f4-2645a1f62dd5\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"6f664151-eb66-4f99-b420-0e7b6b740fed\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"0dc207f3-0ccb-48f0-95cf-10f2f9133d4f\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"f79670b1-4443-4c1f-aded-12efc07d6743\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1dfde00d-e336-4f16-a42d-b8e49ba33467\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[404]},\"y\":{\"__ndarray__\":\"AAAAAADLpkAAAAAAAMymQAAAAAAAzaZAAAAAAADOpkAAAAAAAM+mQAAAAAAA0KZAAAAAAADRpkAAAAAAANKmQAAAAAAA06ZAAAAAAADUpkAAAAAAANWmQAAAAAAA1qZAAAAAAADXpkAAAAAAANimQAAAAAAA2aZAAAAAAADapkAAAAAAANumQAAAAAAA3KZAAAAAAADdpkAAAAAAAN6mQAAAAAAA36ZAAAAAAADgpkAAAAAAAOGmQAAAAAAA4qZAAAAAAADjpkAAAAAAAOSmQAAAAAAA5aZAAAAAAADmpkAAAAAAAOemQAAAAAAA6KZAAAAAAADppkAAAAAAAOqmQAAAAAAA66ZAAAAAAADspkAAAAAAAO2mQAAAAAAA7qZAAAAAAADvpkAAAAAAAPCmQAAAAAAA8aZAAAAAAADypkAAAAAAAPOmQAAAAAAA9KZAAAAAAAD1pkAAAAAAAPamQAAAAAAA96ZAAAAAAAD4pkAAAAAAAPmmQAAAAAAA+qZAAAAAAAD7pkAAAAAAAPymQAAAAAAA/aZAAAAAAAD+pkAAAAAAAP+mQAAAAAAAAKdAAAAAAAABp0AAAAAAAAKnQAAAAAAAA6dAAAAAAAAEp0AAAAAAAAWnQAAAAAAABqdAAAAAAAAHp0AAAAAAAAinQAAAAAAACadAAAAAAAAKp0AAAAAAAAunQAAAAAAADKdAAAAAAAANp0AAAAAAAA6nQAAAAAAAD6dAAAAAAAAQp0AAAAAAABGnQAAAAAAAEqdAAAAAAAATp0AAAAAAABSnQAAAAAAAFadAAAAAAAAWp0AAAAAAABenQAAAAAAAGKdAAAAAAAAZp0AAAAAAABqnQAAAAAAAG6dAAAAAAAAcp0AAAAAAAB2nQAAAAAAAHqdAAAAAAAAfp0AAAAAAACCnQAAAAAAAIadAAAAAAAAip0AAAAAAACOnQAAAAAAAJKdAAAAAAAAlp0AAAAAAACanQAAAAAAAJ6dAAAAAAAAop0AAAAAAACmnQAAAAAAAKqdAAAAAAAArp0AAAAAAACynQAAAAAAALadAAAAAAAAup0AAAAAAAC+nQAAAAAAAMKdAAAAAAAAxp0AAAAAAADKnQAAAAAAAM6dAAAAAAAA0p0AAAAAAADWnQAAAAAAANqdAAAAAAAA3p0AAAAAAADinQAAAAAAAOadAAAAAAAA6p0AAAAAAADunQAAAAAAAPKdAAAAAAAA9p0AAAAAAAD6nQAAAAAAAP6dAAAAAAABAp0AAAAAAAEGnQAAAAAAAQqdAAAAAAABDp0AAAAAAAESnQAAAAAAARadAAAAAAABGp0AAAAAAAEenQAAAAAAASKdAAAAAAABJp0AAAAAAAEqnQAAAAAAAS6dAAAAAAABMp0AAAAAAAE2nQAAAAAAATqdAAAAAAABPp0AAAAAAAFCnQAAAAAAAUadAAAAAAABSp0AAAAAAAFOnQAAAAAAAVKdAAAAAAABVp0AAAAAAAFanQAAAAAAAV6dAAAAAAABYp0AAAAAAAFmnQAAAAAAAWqdAAAAAAABbp0AAAAAAAFynQAAAAAAAXadAAAAAAABep0AAAAAAAF+nQAAAAAAAYKdAAAAAAABhp0AAAAAAAGKnQAAAAAAAY6dAAAAAAABkp0AAAAAAAGWnQAAAAAAAZqdAAAAAAABnp0AAAAAAAGinQAAAAAAAaadAAAAAAABqp0AAAAAAAGunQAAAAAAAbKdAAAAAAABtp0AAAAAAAG6nQAAAAAAAb6dAAAAAAABwp0AAAAAAAHGnQAAAAAAAcqdAAAAAAABzp0AAAAAAAHSnQAAAAAAAdadAAAAAAAB2p0AAAAAAAHenQAAAAAAAeKdAAAAAAAB5p0AAAAAAAHqnQAAAAAAAe6dAAAAAAAB8p0AAAAAAAH2nQAAAAAAAfqdAAAAAAAB/p0AAAAAAAICnQAAAAAAAgadAAAAAAACCp0AAAAAAAIOnQAAAAAAAhKdAAAAAAACFp0AAAAAAAIanQAAAAAAAh6dAAAAAAACIp0AAAAAAAImnQAAAAAAAiqdAAAAAAACLp0AAAAAAAIynQAAAAAAAjadAAAAAAACOp0AAAAAAAI+nQAAAAAAAkKdAAAAAAACRp0AAAAAAAJKnQAAAAAAAk6dAAAAAAACUp0AAAAAAAJWnQAAAAAAAlqdAAAAAAACXp0AAAAAAAJinQAAAAAAAmadAAAAAAACap0AAAAAAAJunQAAAAAAAnKdAAAAAAACdp0AAAAAAAJ6nQAAAAAAAn6dAAAAAAACgp0AAAAAAAKGnQAAAAAAAoqdAAAAAAACjp0AAAAAAAKSnQAAAAAAApadAAAAAAACmp0AAAAAAAKenQAAAAAAAqKdAAAAAAACpp0AAAAAAAKqnQAAAAAAAq6dAAAAAAACsp0AAAAAAAK2nQAAAAAAArqdAAAAAAACvp0AAAAAAALCnQAAAAAAAsadAAAAAAACyp0AAAAAAALOnQAAAAAAAtKdAAAAAAAC1p0AAAAAAALanQAAAAAAAt6dAAAAAAAC4p0AAAAAAALmnQAAAAAAAuqdAAAAAAAC7p0AAAAAAALynQAAAAAAAvadAAAAAAAC+p0AAAAAAAL+nQAAAAAAAwKdAAAAAAADBp0AAAAAAAMKnQAAAAAAAw6dAAAAAAADEp0AAAAAAAMWnQAAAAAAAyKdAAAAAAADJp0AAAAAAAMqnQAAAAAAAy6dAAAAAAADMp0AAAAAAAM2nQAAAAAAAzqdAAAAAAADPp0AAAAAAANCnQAAAAAAA0adAAAAAAADSp0AAAAAAANOnQAAAAAAA1KdAAAAAAADVp0AAAAAAANanQAAAAAAA3KdAAAAAAADdp0AAAAAAAN6nQAAAAAAA36dAAAAAAADgp0AAAAAAAOGnQAAAAAAA4qdAAAAAAADjp0AAAAAAAOSnQAAAAAAA5adAAAAAAADmp0AAAAAAAOenQAAAAAAA6KdAAAAAAADpp0AAAAAAAOqnQAAAAAAA66dAAAAAAADsp0AAAAAAAO2nQAAAAAAA7qdAAAAAAADvp0AAAAAAAPCnQAAAAAAA8adAAAAAAADyp0AAAAAAAPOnQAAAAAAA9KdAAAAAAAD1p0AAAAAAAPanQAAAAAAA96dAAAAAAAD4p0AAAAAAAPmnQAAAAAAA+qdAAAAAAAD7p0AAAAAAAPynQAAAAAAA/adAAAAAAAD+p0AAAAAAAP+nQAAAAAAAAKhAAAAAAAABqEAAAAAAAAKoQAAAAAAAA6hAAAAAAAAEqEAAAAAAAAWoQAAAAAAABqhAAAAAAAAHqEAAAAAAAAioQAAAAAAACahAAAAAAAAKqEAAAAAAAAuoQAAAAAAADKhAAAAAAAANqEAAAAAAAA6oQAAAAAAAD6hAAAAAAAAQqEAAAAAAABGoQAAAAAAAEqhAAAAAAAATqEAAAAAAABSoQAAAAAAAFahAAAAAAAAWqEAAAAAAABeoQAAAAAAAGKhAAAAAAAAZqEAAAAAAABqoQAAAAAAAG6hAAAAAAAAcqEAAAAAAAB2oQAAAAAAAHqhAAAAAAAAfqEAAAAAAACCoQAAAAAAAIahAAAAAAAAiqEAAAAAAACOoQAAAAAAAJKhAAAAAAAAlqEAAAAAAACaoQAAAAAAAJ6hAAAAAAAAoqEAAAAAAACmoQAAAAAAAKqhAAAAAAAArqEAAAAAAACyoQAAAAAAALahAAAAAAAAuqEAAAAAAAC+oQAAAAAAAMKhAAAAAAAAxqEAAAAAAADKoQAAAAAAAM6hAAAAAAAA0qEAAAAAAADWoQAAAAAAANqhAAAAAAAA3qEAAAAAAADioQAAAAAAAOahAAAAAAAA6qEAAAAAAADuoQAAAAAAAPKhAAAAAAAA9qEAAAAAAAD6oQAAAAAAAP6hAAAAAAABAqEAAAAAAAEGoQAAAAAAAQqhAAAAAAABDqEAAAAAAAESoQAAAAAAARahAAAAAAABGqEAAAAAAAEeoQAAAAAAASKhAAAAAAABJqEAAAAAAAEqoQAAAAAAAS6hAAAAAAABMqEAAAAAAAE2oQAAAAAAATqhAAAAAAABPqEAAAAAAAFCoQAAAAAAAUahAAAAAAABSqEAAAAAAAFOoQAAAAAAAVKhAAAAAAABVqEAAAAAAAFaoQAAAAAAAV6hAAAAAAABYqEAAAAAAAFmoQAAAAAAAWqhAAAAAAABbqEAAAAAAAFyoQAAAAAAAXahAAAAAAABeqEAAAAAAAF+oQAAAAAAAYKhAAAAAAABhqEAAAAAAAGKoQAAAAAAAY6hAAAAAAABkqEAAAAAAAGWoQA==\",\"dtype\":\"float64\",\"shape\":[404]}}},\"id\":\"26e17dd2-af55-41d3-bbb1-cd171943479d\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"d15f04c4-4abf-447a-8c9c-9ed72ec9e7c4\",\"type\":\"Line\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"17f81be8-bd45-46e6-8a0f-8418de9bfa3b\",\"type\":\"PanTool\"},{\"id\":\"8aacc945-8da7-435c-b171-8a199f855386\",\"type\":\"WheelZoomTool\"},{\"id\":\"b569fe85-e360-4950-bbcb-5448ab58db58\",\"type\":\"BoxZoomTool\"},{\"id\":\"b892f73c-386f-44a9-89e0-67128a3c742f\",\"type\":\"SaveTool\"},{\"id\":\"2a0417dc-c7a2-4c21-ba8e-b1a359f4c4db\",\"type\":\"ResetTool\"},{\"id\":\"8571f5be-14b6-4018-b5d3-92d7a038fa87\",\"type\":\"HelpTool\"}]},\"id\":\"40abe91d-7271-448d-ab39-b4587a306060\",\"type\":\"Toolbar\"},{\"attributes\":{\"sizing_mode\":\"scale_width\",\"toolbar_location\":\"above\",\"tools\":[{\"id\":\"5db46398-4a69-4687-9570-dd81870dcb64\",\"type\":\"PanTool\"},{\"id\":\"e515d38e-d7d7-4ab8-8bb4-5a70b88187b5\",\"type\":\"WheelZoomTool\"},{\"id\":\"16783695-daf2-4c46-abb4-5d44fce21abb\",\"type\":\"BoxZoomTool\"},{\"id\":\"740fddaf-0512-4da2-bdd7-435827ad801b\",\"type\":\"SaveTool\"},{\"id\":\"4814ace1-3534-481b-b02c-6ec78ecbdbb6\",\"type\":\"ResetTool\"},{\"id\":\"72d82bbc-c34e-4f61-97e1-0b0a1e22fbf2\",\"type\":\"HelpTool\"},{\"id\":\"6c9634a2-ab45-44e2-a8f0-9db36e99fd29\",\"type\":\"PanTool\"},{\"id\":\"0c25024f-2739-4722-a9ea-050109935157\",\"type\":\"WheelZoomTool\"},{\"id\":\"61bd2a99-df5f-4ace-a321-ab527e13b680\",\"type\":\"BoxZoomTool\"},{\"id\":\"e1411058-89b1-4845-8ff2-da7dba512099\",\"type\":\"SaveTool\"},{\"id\":\"a9724a89-d30c-45e7-b337-8040ad439e72\",\"type\":\"ResetTool\"},{\"id\":\"db6e44ec-508d-40b3-b6c2-b10a102299b4\",\"type\":\"HelpTool\"},{\"id\":\"5ee89f20-a747-4a0d-bc6b-3039eb6977be\",\"type\":\"PanTool\"},{\"id\":\"c2c75012-2d5e-4e9b-8938-46e936219b22\",\"type\":\"WheelZoomTool\"},{\"id\":\"904bdb58-7c85-4380-933e-054b181717e2\",\"type\":\"BoxZoomTool\"},{\"id\":\"d4e2eff2-c5e8-4b52-8a32-3c17c1901eb4\",\"type\":\"SaveTool\"},{\"id\":\"22471e02-ec20-4ab1-a435-364a508d37c6\",\"type\":\"ResetTool\"},{\"id\":\"a1b30e0d-bdc2-44aa-bf00-76f53e36d557\",\"type\":\"HelpTool\"},{\"id\":\"c6aec0d0-e796-4fcd-b1e8-0f02140982d3\",\"type\":\"PanTool\"},{\"id\":\"1ea70cc9-a764-4578-86a1-a0e7db674edd\",\"type\":\"WheelZoomTool\"},{\"id\":\"9f9f1463-f99d-4d4d-9928-a0ef35451d6a\",\"type\":\"BoxZoomTool\"},{\"id\":\"ad08935c-84e2-42d2-b192-7cdfe1860ee9\",\"type\":\"SaveTool\"},{\"id\":\"3fab1d09-354c-4d87-9222-9ee649c21696\",\"type\":\"ResetTool\"},{\"id\":\"e7573fff-83f4-4ac3-b869-4d63a6309b1a\",\"type\":\"HelpTool\"},{\"id\":\"4f421652-2e34-4f7e-90ad-c13a0ddd3cf4\",\"type\":\"PanTool\"},{\"id\":\"d50f9dc5-792b-41fb-96f5-7b5b347f01ef\",\"type\":\"WheelZoomTool\"},{\"id\":\"11c878ec-7bc1-474e-9098-94f23e8604e6\",\"type\":\"BoxZoomTool\"},{\"id\":\"d5f2f4c4-11f3-4427-85fe-9a5b7a1c1a9e\",\"type\":\"SaveTool\"},{\"id\":\"c2bc2734-0fc7-4471-99c7-4ad7f82033e1\",\"type\":\"ResetTool\"},{\"id\":\"d8581a75-8fc1-4848-938c-6579d060310a\",\"type\":\"HelpTool\"},{\"id\":\"17f81be8-bd45-46e6-8a0f-8418de9bfa3b\",\"type\":\"PanTool\"},{\"id\":\"8aacc945-8da7-435c-b171-8a199f855386\",\"type\":\"WheelZoomTool\"},{\"id\":\"b569fe85-e360-4950-bbcb-5448ab58db58\",\"type\":\"BoxZoomTool\"},{\"id\":\"b892f73c-386f-44a9-89e0-67128a3c742f\",\"type\":\"SaveTool\"},{\"id\":\"2a0417dc-c7a2-4c21-ba8e-b1a359f4c4db\",\"type\":\"ResetTool\"},{\"id\":\"8571f5be-14b6-4018-b5d3-92d7a038fa87\",\"type\":\"HelpTool\"},{\"id\":\"8d58e893-2c52-4556-8ce4-48ee090c2f26\",\"type\":\"PanTool\"},{\"id\":\"6605a16a-2bac-4421-9f50-df34fdc04260\",\"type\":\"WheelZoomTool\"},{\"id\":\"5a166aad-401d-422c-a1a4-cb6ef249e9a8\",\"type\":\"BoxZoomTool\"},{\"id\":\"cb7f70c4-5e14-45a3-87b6-87ed4f1ce2e4\",\"type\":\"SaveTool\"},{\"id\":\"95cee943-2ecf-4fca-8c2c-eb0b548e5398\",\"type\":\"ResetTool\"},{\"id\":\"b8d2b4fc-885b-4b2b-acc9-18820eb647e0\",\"type\":\"HelpTool\"},{\"id\":\"326d73b0-12e0-4f52-b36b-1b57631843e8\",\"type\":\"PanTool\"},{\"id\":\"8292e4b9-1a1d-44ad-adcf-2630823aef60\",\"type\":\"WheelZoomTool\"},{\"id\":\"1016bd2a-802f-4215-8ab1-8acbe9cd8264\",\"type\":\"BoxZoomTool\"},{\"id\":\"444ec2c2-2cad-41cf-a2e8-d03092ffe128\",\"type\":\"SaveTool\"},{\"id\":\"1b40acbb-d6ca-4814-b1c4-cb94415585ae\",\"type\":\"ResetTool\"},{\"id\":\"32776661-c366-4227-b30f-31c523bd9273\",\"type\":\"HelpTool\"}]},\"id\":\"a7fb7578-64be-481c-86f1-d9b2d12cd186\",\"type\":\"ToolbarBox\"},{\"attributes\":{\"plot\":{\"id\":\"c365b97f-c5de-4d59-b2d7-bf2949994163\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"d5f2f4c4-11f3-4427-85fe-9a5b7a1c1a9e\",\"type\":\"SaveTool\"},{\"attributes\":{\"line_color\":{\"value\":\"red\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"140d3570-ce5e-4c2e-b7bf-8432dc00f7b9\",\"type\":\"Line\"},{\"attributes\":{\"below\":[{\"id\":\"353e34c2-3bca-407b-a4ff-ef1e840cec4c\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"08617a5b-32b7-4eb8-b0c6-29d161998f0a\",\"type\":\"LinearAxis\"}],\"plot_height\":500,\"plot_width\":150,\"renderers\":[{\"id\":\"353e34c2-3bca-407b-a4ff-ef1e840cec4c\",\"type\":\"LinearAxis\"},{\"id\":\"706c99d0-10b7-4b87-a2cc-2b17ae964dad\",\"type\":\"Grid\"},{\"id\":\"08617a5b-32b7-4eb8-b0c6-29d161998f0a\",\"type\":\"LinearAxis\"},{\"id\":\"878e8740-e842-4947-8d21-7c953b36a19b\",\"type\":\"Grid\"},{\"id\":\"affa2a63-b3b2-4d75-8162-2abd767ca563\",\"type\":\"BoxAnnotation\"},{\"id\":\"6eb8f362-febd-4647-97ef-b99b4a03b01a\",\"type\":\"GlyphRenderer\"},{\"id\":\"74e20ba9-98cf-433b-8b52-0095c76f1ec7\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"90400e03-18c4-423a-9a86-091df1dfff43\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"0b38a35d-38e0-45f3-9844-3d4d87bca596\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"9fceb8c9-37cd-4e8b-826e-17cfa0cef410\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"5cea7adb-8f00-4bff-a439-b9317f6a3f36\",\"type\":\"DataRange1d\"},\"y_range\":{\"id\":\"11ee81dd-9589-41b7-a237-bf2bf1b156ff\",\"type\":\"DataRange1d\"}},\"id\":\"c365b97f-c5de-4d59-b2d7-bf2949994163\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":null,\"text\":\"NOLAN\"},\"id\":\"90400e03-18c4-423a-9a86-091df1dfff43\",\"type\":\"Title\"},{\"attributes\":{\"line_color\":{\"value\":\"red\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"f6e2e092-194c-4f1c-a44b-136f2fc1eb7f\",\"type\":\"Line\"},{\"attributes\":{\"formatter\":{\"id\":\"0a3deb09-c07b-44cd-8afd-9e6c2f078219\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c365b97f-c5de-4d59-b2d7-bf2949994163\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9c026e41-5198-49a5-b01f-f666ea7ce611\",\"type\":\"BasicTicker\"}},\"id\":\"353e34c2-3bca-407b-a4ff-ef1e840cec4c\",\"type\":\"LinearAxis\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"97f849ac-ee69-45c0-a5c2-64cc3b3d00e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"0671d79e-3169-4cd6-859f-84b3d121e576\",\"type\":\"BasicTicker\"}},\"id\":\"22eea386-9b03-4710-a21d-ad994af86624\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[501]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[501]}}},\"id\":\"d6a14685-4db4-4c58-981a-a5cf7bbca892\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"plot\":{\"id\":\"5d35d354-66f6-4b20-97bf-ddac90cea36f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6c55c02a-098e-4989-9ab7-aa37f3ab3d32\",\"type\":\"BasicTicker\"}},\"id\":\"b828a6d9-4e9b-4778-a9f8-12a8aa9a468d\",\"type\":\"Grid\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"b8a565a8-2c3c-4ee6-908d-137191335e70\",\"type\":\"Line\"},{\"attributes\":{\"plot\":{\"id\":\"5d35d354-66f6-4b20-97bf-ddac90cea36f\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"1ea70cc9-a764-4578-86a1-a0e7db674edd\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"data_source\":{\"id\":\"d6a14685-4db4-4c58-981a-a5cf7bbca892\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"85bad541-b909-4190-8e3e-2e0d9c949b08\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"e519e1cf-3c97-4c1c-9555-b7efa951a245\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"28604d8b-7eb3-4497-8a0f-cf221fcae8cc\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"line_color\":{\"value\":\"red\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1a4d3360-2f27-4d62-a369-8cba94ff501b\",\"type\":\"Line\"},{\"attributes\":{\"callback\":null},\"id\":\"6e177672-eb23-4d72-a20a-44ef594acc87\",\"type\":\"DataRange1d\"},{\"attributes\":{\"below\":[{\"id\":\"542ec7b0-a087-411b-9b70-603e0ff8e249\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"aca8cca6-3402-4135-aa4c-aaf58808ea65\",\"type\":\"LinearAxis\"}],\"plot_height\":500,\"plot_width\":150,\"renderers\":[{\"id\":\"542ec7b0-a087-411b-9b70-603e0ff8e249\",\"type\":\"LinearAxis\"},{\"id\":\"587fae69-1ba7-405a-ad5b-4512edfd11a6\",\"type\":\"Grid\"},{\"id\":\"aca8cca6-3402-4135-aa4c-aaf58808ea65\",\"type\":\"LinearAxis\"},{\"id\":\"c3e453b6-d5af-4bef-b85b-37d9a8970919\",\"type\":\"Grid\"},{\"id\":\"047cf53a-4f20-41ba-b52b-82c2e5181d1f\",\"type\":\"BoxAnnotation\"},{\"id\":\"35a309ed-9d84-42e4-a437-abebe0870b7f\",\"type\":\"GlyphRenderer\"},{\"id\":\"f8788b94-fe75-4c22-9316-12f3c4832ca0\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"33ac524a-0117-4dd8-b923-017fa24b3c48\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"10dce332-07de-4019-904e-0e156c74fc82\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"fb96c15b-f11b-46bf-9bb9-2dbc3546062b\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"9da57718-8899-4fed-b672-fb0a699d01dc\",\"type\":\"DataRange1d\"},\"y_range\":{\"id\":\"1826aea6-9e2d-4bd4-8f03-2a38cbdcdddc\",\"type\":\"DataRange1d\"}},\"id\":\"e92c0735-6ba6-4392-87f6-8d900ab7d198\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":{\"id\":\"226b48f4-0520-4f31-b062-d95935e680e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"0e7ce199-e2a8-43a6-ac1a-bd30303fab11\",\"type\":\"BasicTicker\"}},\"id\":\"e5a4c6f6-48e6-4f25-b322-22a585fc7fb1\",\"type\":\"Grid\"},{\"attributes\":{\"formatter\":{\"id\":\"11306d6f-0739-465c-a8d8-625df0ebd23c\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"e92c0735-6ba6-4392-87f6-8d900ab7d198\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"531136c2-a2d9-4245-90dc-ca99931b5188\",\"type\":\"BasicTicker\"}},\"id\":\"aca8cca6-3402-4135-aa4c-aaf58808ea65\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"531136c2-a2d9-4245-90dc-ca99931b5188\",\"type\":\"BasicTicker\"},{\"attributes\":{\"formatter\":{\"id\":\"754bd792-cd73-423a-8dbf-4fdd5cd329e6\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"b893482e-f461-4386-ad7b-6a73afd4bec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"c21c3d63-877d-4bdd-8ec6-6d28c5e57127\",\"type\":\"BasicTicker\"}},\"id\":\"f440f617-4777-467c-9b63-03f118f15290\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"e92c0735-6ba6-4392-87f6-8d900ab7d198\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"740fddaf-0512-4da2-bdd7-435827ad801b\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"4eca2994-c4d6-4d44-8467-9e92426988d5\",\"type\":\"ToolEvents\"},{\"attributes\":{\"plot\":{\"id\":\"004e69c2-709b-4536-9ebc-1edeaeb91a60\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"626b1280-cf7f-4c14-9160-414e1c5de25c\",\"type\":\"BasicTicker\"}},\"id\":\"af59d4aa-7e86-448a-a8fd-e22ab59dbb58\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null},\"id\":\"25aa8412-c2b4-4207-9b92-496d98af80aa\",\"type\":\"DataRange1d\"},{\"attributes\":{\"plot\":{\"id\":\"5d35d354-66f6-4b20-97bf-ddac90cea36f\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"3fab1d09-354c-4d87-9222-9ee649c21696\",\"type\":\"ResetTool\"},{\"attributes\":{\"callback\":null},\"id\":\"5cea7adb-8f00-4bff-a439-b9317f6a3f36\",\"type\":\"DataRange1d\"},{\"attributes\":{\"formatter\":{\"id\":\"b21b2876-5734-4d6c-b366-6a6a9ef02c91\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c365b97f-c5de-4d59-b2d7-bf2949994163\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a92e5bfa-faaf-4bf8-aff4-6fbf40474ad7\",\"type\":\"BasicTicker\"}},\"id\":\"08617a5b-32b7-4eb8-b0c6-29d161998f0a\",\"type\":\"LinearAxis\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"8d58e893-2c52-4556-8ce4-48ee090c2f26\",\"type\":\"PanTool\"},{\"id\":\"6605a16a-2bac-4421-9f50-df34fdc04260\",\"type\":\"WheelZoomTool\"},{\"id\":\"5a166aad-401d-422c-a1a4-cb6ef249e9a8\",\"type\":\"BoxZoomTool\"},{\"id\":\"cb7f70c4-5e14-45a3-87b6-87ed4f1ce2e4\",\"type\":\"SaveTool\"},{\"id\":\"95cee943-2ecf-4fca-8c2c-eb0b548e5398\",\"type\":\"ResetTool\"},{\"id\":\"b8d2b4fc-885b-4b2b-acc9-18820eb647e0\",\"type\":\"HelpTool\"}]},\"id\":\"9f71e64c-503c-4aba-9d75-f48e9e7b035c\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"a071ceb9-4058-41d2-8558-87d564c509fd\",\"type\":\"ToolEvents\"},{\"attributes\":{\"data_source\":{\"id\":\"d3bc535e-2777-4838-b762-d0020b10fca8\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"1a4d3360-2f27-4d62-a369-8cba94ff501b\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"c88b633e-670c-456d-80ef-4060fd654f5b\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"74e20ba9-98cf-433b-8b52-0095c76f1ec7\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"plot\":{\"id\":\"97f849ac-ee69-45c0-a5c2-64cc3b3d00e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"0c25024f-2739-4722-a9ea-050109935157\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"plot\":null,\"text\":\"NEWBY\"},\"id\":\"bac219a8-f30f-44b1-a61f-64e2e522e99c\",\"type\":\"Title\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"63df22e0-5874-464a-ae04-4c81d26e80a2\",\"type\":\"Line\"},{\"attributes\":{\"data_source\":{\"id\":\"bb491148-5b95-43d6-9863-b21f3fab0c14\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"b3bd542a-096a-4d91-abe0-81c1f54b2fee\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"63df22e0-5874-464a-ae04-4c81d26e80a2\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"6eb8f362-febd-4647-97ef-b99b4a03b01a\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"plot\":{\"id\":\"c365b97f-c5de-4d59-b2d7-bf2949994163\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9c026e41-5198-49a5-b01f-f666ea7ce611\",\"type\":\"BasicTicker\"}},\"id\":\"706c99d0-10b7-4b87-a2cc-2b17ae964dad\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[461]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[461]}}},\"id\":\"a3fad949-4e89-4a5a-b428-f6f391f08107\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[501]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[501]}}},\"id\":\"3e1cb9da-2a41-4ccc-bb6c-482bcb8f5068\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e519e1cf-3c97-4c1c-9555-b7efa951a245\",\"type\":\"Line\"},{\"attributes\":{\"plot\":{\"id\":\"c365b97f-c5de-4d59-b2d7-bf2949994163\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"c2bc2734-0fc7-4471-99c7-4ad7f82033e1\",\"type\":\"ResetTool\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"1b5867f8-a89f-4a31-80d0-f691bbc812b4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"faf3b566-1c06-4f85-8bb9-58940290550c\",\"type\":\"BasicTicker\"}},\"id\":\"ecff38c2-b9c4-4639-83b0-a7fe03c5d75f\",\"type\":\"Grid\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"bf40596e-6b9d-457e-9d78-9a6c3e843710\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"below\":[{\"id\":\"858f7135-3f91-4ab0-bba2-a1ff58ae202e\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"8ed1ae69-54fa-4226-90d5-ce8210b31f4d\",\"type\":\"LinearAxis\"}],\"plot_height\":500,\"plot_width\":150,\"renderers\":[{\"id\":\"858f7135-3f91-4ab0-bba2-a1ff58ae202e\",\"type\":\"LinearAxis\"},{\"id\":\"e5a4c6f6-48e6-4f25-b322-22a585fc7fb1\",\"type\":\"Grid\"},{\"id\":\"8ed1ae69-54fa-4226-90d5-ce8210b31f4d\",\"type\":\"LinearAxis\"},{\"id\":\"76cb38ec-87c3-412e-8f46-a8245af78518\",\"type\":\"Grid\"},{\"id\":\"bf40596e-6b9d-457e-9d78-9a6c3e843710\",\"type\":\"BoxAnnotation\"},{\"id\":\"cba70271-a8ae-4ea8-965d-7e8718d1e2ec\",\"type\":\"GlyphRenderer\"},{\"id\":\"05e23208-c2a8-4d59-81d5-285fad136caf\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"2bd6e22c-4f78-4cbe-a2ae-a943b7fb8aee\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"4c637586-f59f-412f-9fbd-425e45fea94d\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"cc49dab0-164c-4fe5-8fa1-6cb61428c425\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"a4b20605-87a3-44f8-9797-47a922d0f803\",\"type\":\"DataRange1d\"},\"y_range\":{\"id\":\"c6d0cec3-d945-4511-8f45-d5c3807a7090\",\"type\":\"DataRange1d\"}},\"id\":\"226b48f4-0520-4f31-b062-d95935e680e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":{\"id\":\"e92c0735-6ba6-4392-87f6-8d900ab7d198\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"e515d38e-d7d7-4ab8-8bb4-5a70b88187b5\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"plot\":{\"id\":\"e92c0735-6ba6-4392-87f6-8d900ab7d198\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"72d82bbc-c34e-4f61-97e1-0b0a1e22fbf2\",\"type\":\"HelpTool\"},{\"attributes\":{\"plot\":{\"id\":\"b893482e-f461-4386-ad7b-6a73afd4bec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"cb7f70c4-5e14-45a3-87b6-87ed4f1ce2e4\",\"type\":\"SaveTool\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"c6aec0d0-e796-4fcd-b1e8-0f02140982d3\",\"type\":\"PanTool\"},{\"id\":\"1ea70cc9-a764-4578-86a1-a0e7db674edd\",\"type\":\"WheelZoomTool\"},{\"id\":\"9f9f1463-f99d-4d4d-9928-a0ef35451d6a\",\"type\":\"BoxZoomTool\"},{\"id\":\"ad08935c-84e2-42d2-b192-7cdfe1860ee9\",\"type\":\"SaveTool\"},{\"id\":\"3fab1d09-354c-4d87-9222-9ee649c21696\",\"type\":\"ResetTool\"},{\"id\":\"e7573fff-83f4-4ac3-b869-4d63a6309b1a\",\"type\":\"HelpTool\"}]},\"id\":\"6bb07f38-f2a4-4162-8107-f46339d2df9f\",\"type\":\"Toolbar\"},{\"attributes\":{\"plot\":{\"id\":\"c365b97f-c5de-4d59-b2d7-bf2949994163\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"d50f9dc5-792b-41fb-96f5-7b5b347f01ef\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"plot\":{\"id\":\"226b48f4-0520-4f31-b062-d95935e680e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"326d73b0-12e0-4f52-b36b-1b57631843e8\",\"type\":\"PanTool\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"5d35d354-66f6-4b20-97bf-ddac90cea36f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e19f82f4-9549-431c-abc0-06cc7e988b48\",\"type\":\"BasicTicker\"}},\"id\":\"145a0f31-3d43-4f9d-b4ba-02b033490953\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"226b48f4-0520-4f31-b062-d95935e680e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"29844283-4c60-4929-be71-6fee13e75b30\",\"type\":\"BasicTicker\"}},\"id\":\"76cb38ec-87c3-412e-8f46-a8245af78518\",\"type\":\"Grid\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"d601f3ea-3bc3-4289-a972-358944bde25d\",\"type\":\"Line\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[449]},\"y\":{\"__ndarray__\":\"AAAAAACtpUAAAAAAAK6lQAAAAAAAr6VAAAAAAACwpUAAAAAAALGlQAAAAAAAsqVAAAAAAACzpUAAAAAAALSlQAAAAAAAtaVAAAAAAAC2pUAAAAAAALelQAAAAAAAuKVAAAAAAAC5pUAAAAAAALqlQAAAAAAAu6VAAAAAAAC8pUAAAAAAAL2lQAAAAAAAvqVAAAAAAAC/pUAAAAAAAMClQAAAAAAAwaVAAAAAAADCpUAAAAAAAMOlQAAAAAAAxKVAAAAAAADFpUAAAAAAAMalQAAAAAAAx6VAAAAAAADIpUAAAAAAAMmlQAAAAAAAyqVAAAAAAADLpUAAAAAAAMylQAAAAAAAzaVAAAAAAADOpUAAAAAAAM+lQAAAAAAA0KVAAAAAAADRpUAAAAAAANKlQAAAAAAA06VAAAAAAADUpUAAAAAAANWlQAAAAAAA1qVAAAAAAADXpUAAAAAAANilQAAAAAAA2aVAAAAAAADapUAAAAAAANulQAAAAAAA3KVAAAAAAADdpUAAAAAAAN6lQAAAAAAA36VAAAAAAADgpUAAAAAAAOGlQAAAAAAA4qVAAAAAAADjpUAAAAAAAOSlQAAAAAAA5aVAAAAAAADmpUAAAAAAAOelQAAAAAAA6KVAAAAAAADppUAAAAAAAOqlQAAAAAAA66VAAAAAAADspUAAAAAAAO6lQAAAAAAA76VAAAAAAADwpUAAAAAAAPGlQAAAAAAA8qVAAAAAAADzpUAAAAAAAPSlQAAAAAAA9aVAAAAAAAD2pUAAAAAAAPelQAAAAAAA+KVAAAAAAAD5pUAAAAAAAPqlQAAAAAAA+6VAAAAAAAD8pUAAAAAAAP2lQAAAAAAA/qVAAAAAAAD/pUAAAAAAAACmQAAAAAAAAaZAAAAAAAACpkAAAAAAAAOmQAAAAAAABKZAAAAAAAAFpkAAAAAAAAamQAAAAAAAB6ZAAAAAAAAIpkAAAAAAAAmmQAAAAAAACqZAAAAAAAALpkAAAAAAAAymQAAAAAAADaZAAAAAAAAOpkAAAAAAAA+mQAAAAAAAEKZAAAAAAAARpkAAAAAAABKmQAAAAAAAE6ZAAAAAAAAUpkAAAAAAABWmQAAAAAAAFqZAAAAAAAAXpkAAAAAAABimQAAAAAAAGaZAAAAAAAAapkAAAAAAABumQAAAAAAAHKZAAAAAAAAdpkAAAAAAAB6mQAAAAAAAH6ZAAAAAAAAgpkAAAAAAACGmQAAAAAAAIqZAAAAAAAAjpkAAAAAAACSmQAAAAAAAJaZAAAAAAAAmpkAAAAAAACemQAAAAAAAKKZAAAAAAAAppkAAAAAAACqmQAAAAAAAK6ZAAAAAAAAspkAAAAAAAC2mQAAAAAAALqZAAAAAAAAvpkAAAAAAADCmQAAAAAAAMaZAAAAAAAAypkAAAAAAADOmQAAAAAAANKZAAAAAAAA1pkAAAAAAADamQAAAAAAAN6ZAAAAAAAA4pkAAAAAAADmmQAAAAAAAOqZAAAAAAAA7pkAAAAAAADymQAAAAAAAPaZAAAAAAAA+pkAAAAAAAD+mQAAAAAAAQKZAAAAAAABBpkAAAAAAAEKmQAAAAAAAQ6ZAAAAAAABEpkAAAAAAAEWmQAAAAAAASaZAAAAAAABKpkAAAAAAAEumQAAAAAAATKZAAAAAAABNpkAAAAAAAE6mQAAAAAAAT6ZAAAAAAABQpkAAAAAAAFGmQAAAAAAAUqZAAAAAAABTpkAAAAAAAFSmQAAAAAAAVqZAAAAAAABXpkAAAAAAAFimQAAAAAAAWaZAAAAAAABapkAAAAAAAFumQAAAAAAAXKZAAAAAAABdpkAAAAAAAF6mQAAAAAAAX6ZAAAAAAABgpkAAAAAAAGGmQAAAAAAAYqZAAAAAAABjpkAAAAAAAGSmQAAAAAAAZaZAAAAAAABmpkAAAAAAAGemQAAAAAAAaKZAAAAAAABppkAAAAAAAGqmQAAAAAAAa6ZAAAAAAABspkAAAAAAAG2mQAAAAAAAbqZAAAAAAABvpkAAAAAAAHCmQAAAAAAAcaZAAAAAAABypkAAAAAAAHOmQAAAAAAAdKZAAAAAAAB1pkAAAAAAAHamQAAAAAAAd6ZAAAAAAAB4pkAAAAAAAHmmQAAAAAAAeqZAAAAAAAB7pkAAAAAAAHymQAAAAAAAfaZAAAAAAAB+pkAAAAAAAH+mQAAAAAAAgKZAAAAAAACBpkAAAAAAAIKmQAAAAAAAg6ZAAAAAAACEpkAAAAAAAIWmQAAAAAAAhqZAAAAAAACHpkAAAAAAAIimQAAAAAAAiaZAAAAAAACKpkAAAAAAAIumQAAAAAAAjKZAAAAAAACNpkAAAAAAAI6mQAAAAAAAj6ZAAAAAAACQpkAAAAAAAJGmQAAAAAAAkqZAAAAAAACTpkAAAAAAAJSmQAAAAAAAlaZAAAAAAACWpkAAAAAAAJemQAAAAAAAmKZAAAAAAACZpkAAAAAAAJqmQAAAAAAAm6ZAAAAAAACcpkAAAAAAAJ2mQAAAAAAAnqZAAAAAAACfpkAAAAAAAKCmQAAAAAAAoaZAAAAAAACipkAAAAAAAKOmQAAAAAAAp6ZAAAAAAACopkAAAAAAAKmmQAAAAAAAqqZAAAAAAACrpkAAAAAAAKymQAAAAAAAraZAAAAAAACupkAAAAAAAK+mQAAAAAAAsKZAAAAAAACxpkAAAAAAALKmQAAAAAAAs6ZAAAAAAAC0pkAAAAAAALWmQAAAAAAAtqZAAAAAAAC3pkAAAAAAALimQAAAAAAAuaZAAAAAAAC6pkAAAAAAALumQAAAAAAAvKZAAAAAAAC9pkAAAAAAAL6mQAAAAAAAv6ZAAAAAAADApkAAAAAAAMGmQAAAAAAAwqZAAAAAAADDpkAAAAAAAMSmQAAAAAAAxaZAAAAAAADGpkAAAAAAAMemQAAAAAAAyKZAAAAAAADJpkAAAAAAAMqmQAAAAAAAy6ZAAAAAAADMpkAAAAAAAM2mQAAAAAAAzqZAAAAAAADPpkAAAAAAANCmQAAAAAAA0aZAAAAAAADSpkAAAAAAANOmQAAAAAAA1KZAAAAAAADVpkAAAAAAANamQAAAAAAA2KZAAAAAAADZpkAAAAAAANqmQAAAAAAA26ZAAAAAAADcpkAAAAAAAN2mQAAAAAAA3qZAAAAAAADkpkAAAAAAAOWmQAAAAAAA5qZAAAAAAADnpkAAAAAAAOimQAAAAAAA6aZAAAAAAADqpkAAAAAAAOumQAAAAAAA7KZAAAAAAADtpkAAAAAAAO6mQAAAAAAA76ZAAAAAAADwpkAAAAAAAPGmQAAAAAAA8qZAAAAAAADzpkAAAAAAAPSmQAAAAAAA9aZAAAAAAAD2pkAAAAAAAPemQAAAAAAA+KZAAAAAAAD5pkAAAAAAAPqmQAAAAAAA+6ZAAAAAAAD8pkAAAAAAAP2mQAAAAAAA/qZAAAAAAAD/pkAAAAAAAACnQAAAAAAAAadAAAAAAAACp0AAAAAAAAOnQAAAAAAABKdAAAAAAAAIp0AAAAAAAAmnQAAAAAAACqdAAAAAAAALp0AAAAAAAAynQAAAAAAADadAAAAAAAAOp0AAAAAAAA+nQAAAAAAAEKdAAAAAAAARp0AAAAAAABKnQAAAAAAAE6dAAAAAAAAUp0AAAAAAABWnQAAAAAAAFqdAAAAAAAAXp0AAAAAAABinQAAAAAAAGadAAAAAAAAap0AAAAAAABunQAAAAAAAHKdAAAAAAAAdp0AAAAAAAB6nQAAAAAAAH6dAAAAAAAAgp0AAAAAAACGnQAAAAAAAIqdAAAAAAAAjp0AAAAAAACSnQAAAAAAAJadAAAAAAAAmp0AAAAAAACenQAAAAAAAKKdAAAAAAAApp0AAAAAAACqnQAAAAAAAK6dAAAAAAAAsp0AAAAAAAC2nQAAAAAAALqdAAAAAAAAvp0AAAAAAADCnQAAAAAAAMadAAAAAAAAyp0AAAAAAADOnQAAAAAAANKdAAAAAAAA1p0AAAAAAADanQAAAAAAAN6dAAAAAAAA4p0AAAAAAADmnQAAAAAAAOqdAAAAAAAA9p0AAAAAAAD6nQAAAAAAAP6dAAAAAAABAp0AAAAAAAEGnQAAAAAAAQqdAAAAAAABDp0AAAAAAAESnQAAAAAAARadAAAAAAABGp0AAAAAAAEenQAAAAAAASKdAAAAAAABJp0AAAAAAAEqnQAAAAAAAS6dAAAAAAABMp0AAAAAAAE2nQAAAAAAATqdAAAAAAABPp0AAAAAAAFCnQAAAAAAAUadAAAAAAABSp0AAAAAAAFOnQAAAAAAAVKdAAAAAAABVp0AAAAAAAFanQAAAAAAAV6dAAAAAAABYp0AAAAAAAFmnQAAAAAAAWqdAAAAAAABbp0AAAAAAAFynQAAAAAAAXadAAAAAAABep0AAAAAAAF+nQAAAAAAAYKdAAAAAAABhp0AAAAAAAGKnQAAAAAAAY6dAAAAAAABkp0AAAAAAAGWnQAAAAAAAZqdAAAAAAABnp0AAAAAAAGinQAAAAAAAaadAAAAAAABqp0AAAAAAAGunQAAAAAAAbKdAAAAAAABtp0AAAAAAAG6nQAAAAAAAb6dAAAAAAABwp0AAAAAAAHGnQAAAAAAAcqdAAAAAAABzp0AAAAAAAHSnQAAAAAAAdadAAAAAAAB2p0AAAAAAAHenQAAAAAAAeKdAAAAAAAB5p0AAAAAAAHqnQAAAAAAAe6dAAAAAAAB8p0AAAAAAAH2nQAAAAAAAfqdAAAAAAAB/p0AAAAAAAICnQA==\",\"dtype\":\"float64\",\"shape\":[449]}}},\"id\":\"a50dd023-7f5e-457b-893a-1ead09592b53\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"4c637586-f59f-412f-9fbd-425e45fea94d\",\"type\":\"ToolEvents\"},{\"attributes\":{\"plot\":{\"id\":\"226b48f4-0520-4f31-b062-d95935e680e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"32776661-c366-4227-b30f-31c523bd9273\",\"type\":\"HelpTool\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"fb9aedb2-82fa-4aa2-842f-0644ba8e7cab\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"plot\":{\"id\":\"5d35d354-66f6-4b20-97bf-ddac90cea36f\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"ad08935c-84e2-42d2-b192-7cdfe1860ee9\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"e451a77c-bcb2-4e12-9e15-8da01dbc0b54\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null},\"id\":\"f7e0bec1-1397-4767-b34a-49bbc75fef73\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"0e7ce199-e2a8-43a6-ac1a-bd30303fab11\",\"type\":\"BasicTicker\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"047cf53a-4f20-41ba-b52b-82c2e5181d1f\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[68]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[68]}}},\"id\":\"0732a30b-6a1d-4415-86ee-b4c93d43c69c\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"plot\":{\"id\":\"c365b97f-c5de-4d59-b2d7-bf2949994163\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"d8581a75-8fc1-4848-938c-6579d060310a\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"a92e5bfa-faaf-4bf8-aff4-6fbf40474ad7\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":{\"id\":\"b893482e-f461-4386-ad7b-6a73afd4bec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"95cee943-2ecf-4fca-8c2c-eb0b548e5398\",\"type\":\"ResetTool\"},{\"attributes\":{\"data_source\":{\"id\":\"b1073a34-a435-4b8a-9c6a-70ec15d7fb75\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"15cbc3bc-efd0-42fe-a657-29c53d3eff12\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"a4c022cc-eb4a-400c-8db4-0ff26c81e2ce\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"35a309ed-9d84-42e4-a437-abebe0870b7f\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"55789866-a64b-4602-bb2a-ad8bdbfebb4e\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":{\"id\":\"226b48f4-0520-4f31-b062-d95935e680e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"444ec2c2-2cad-41cf-a2e8-d03092ffe128\",\"type\":\"SaveTool\"},{\"attributes\":{\"plot\":{\"id\":\"e92c0735-6ba6-4392-87f6-8d900ab7d198\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a9178735-3ef1-407b-ab39-514d54337097\",\"type\":\"BasicTicker\"}},\"id\":\"587fae69-1ba7-405a-ad5b-4512edfd11a6\",\"type\":\"Grid\"},{\"attributes\":{\"line_color\":{\"value\":\"blue\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"6f664151-eb66-4f99-b420-0e7b6b740fed\",\"type\":\"Line\"},{\"attributes\":{\"data_source\":{\"id\":\"71ecdc29-d3a3-447b-a483-15745de13534\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"11e33d7a-097a-416a-af59-c78146d52a80\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"b8a565a8-2c3c-4ee6-908d-137191335e70\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"05e23208-c2a8-4d59-81d5-285fad136caf\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[471]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[471]}}},\"id\":\"71ecdc29-d3a3-447b-a483-15745de13534\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data_source\":{\"id\":\"a3fad949-4e89-4a5a-b428-f6f391f08107\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"b7d96624-c5b5-4b99-9041-fb1df9d175ed\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"38cb5558-b1b7-4e4f-8c14-6f5332cfb289\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"84dd535e-582e-47c6-baf4-d79ad8b85513\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[404]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[404]}}},\"id\":\"b1073a34-a435-4b8a-9c6a-70ec15d7fb75\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data_source\":{\"id\":\"22df004e-da75-406f-9024-10f29f91c85b\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"88f3a566-ba4b-4b93-a2f3-8349e4a001c9\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"d15f04c4-4abf-447a-8c9c-9ed72ec9e7c4\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"604b1c6d-4f16-4d4d-9e3b-df8d6989092b\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"fa88ee3f-0010-4a0d-a7bd-5e4253879bcf\",\"type\":\"BasicTicker\"},{\"attributes\":{\"line_color\":{\"value\":\"blue\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"eb64c654-c564-4c5b-a16a-fbde9e11f14d\",\"type\":\"Line\"},{\"attributes\":{\"formatter\":{\"id\":\"8ccf2159-f314-4498-945a-1ab207981397\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"b893482e-f461-4386-ad7b-6a73afd4bec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"fa88ee3f-0010-4a0d-a7bd-5e4253879bcf\",\"type\":\"BasicTicker\"}},\"id\":\"114fcc2b-59bc-420c-ab85-0e4d3f0657f7\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"10dce332-07de-4019-904e-0e156c74fc82\",\"type\":\"ToolEvents\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"f7df2f8f-d66a-42da-b3a9-e3adc8939c02\",\"type\":\"Line\"},{\"attributes\":{\"plot\":{\"id\":\"b893482e-f461-4386-ad7b-6a73afd4bec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"6605a16a-2bac-4421-9f50-df34fdc04260\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"overlay\":{\"id\":\"bf40596e-6b9d-457e-9d78-9a6c3e843710\",\"type\":\"BoxAnnotation\"},\"plot\":{\"id\":\"226b48f4-0520-4f31-b062-d95935e680e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"1016bd2a-802f-4215-8ab1-8acbe9cd8264\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"callback\":null},\"id\":\"c6d0cec3-d945-4511-8f45-d5c3807a7090\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"626b1280-cf7f-4c14-9160-414e1c5de25c\",\"type\":\"BasicTicker\"},{\"attributes\":{\"below\":[{\"id\":\"114fcc2b-59bc-420c-ab85-0e4d3f0657f7\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"f440f617-4777-467c-9b63-03f118f15290\",\"type\":\"LinearAxis\"}],\"plot_height\":500,\"plot_width\":150,\"renderers\":[{\"id\":\"114fcc2b-59bc-420c-ab85-0e4d3f0657f7\",\"type\":\"LinearAxis\"},{\"id\":\"cf7c5700-ad11-4df5-8b99-cda95b9a6a4b\",\"type\":\"Grid\"},{\"id\":\"f440f617-4777-467c-9b63-03f118f15290\",\"type\":\"LinearAxis\"},{\"id\":\"fd884808-9c57-46b4-adf3-5f0a11979d4f\",\"type\":\"Grid\"},{\"id\":\"c90e8755-ebc5-4935-9c93-ecab0638aa5e\",\"type\":\"BoxAnnotation\"},{\"id\":\"f79670b1-4443-4c1f-aded-12efc07d6743\",\"type\":\"GlyphRenderer\"},{\"id\":\"3914879e-759a-48a0-b3fe-a6c86c709ddb\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"d3b468ab-5078-4d64-b039-ae5307e689fd\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"a071ceb9-4058-41d2-8558-87d564c509fd\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"9f71e64c-503c-4aba-9d75-f48e9e7b035c\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"6e177672-eb23-4d72-a20a-44ef594acc87\",\"type\":\"DataRange1d\"},\"y_range\":{\"id\":\"ee43a71f-b668-4855-aad6-473b3bd03393\",\"type\":\"DataRange1d\"}},\"id\":\"b893482e-f461-4386-ad7b-6a73afd4bec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":{\"id\":\"97f849ac-ee69-45c0-a5c2-64cc3b3d00e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"6c9634a2-ab45-44e2-a8f0-9db36e99fd29\",\"type\":\"PanTool\"},{\"attributes\":{\"line_color\":{\"value\":\"blue\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"b7d96624-c5b5-4b99-9041-fb1df9d175ed\",\"type\":\"Line\"},{\"attributes\":{\"below\":[{\"id\":\"86ef7d6c-0c79-4be1-988c-87d7bed311ab\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"ff76f125-f841-4023-85a4-7eee094fdebd\",\"type\":\"LinearAxis\"}],\"plot_height\":500,\"plot_width\":150,\"renderers\":[{\"id\":\"86ef7d6c-0c79-4be1-988c-87d7bed311ab\",\"type\":\"LinearAxis\"},{\"id\":\"0dd64037-6acc-4468-b6f0-3c8d9cdf98a4\",\"type\":\"Grid\"},{\"id\":\"ff76f125-f841-4023-85a4-7eee094fdebd\",\"type\":\"LinearAxis\"},{\"id\":\"ecff38c2-b9c4-4639-83b0-a7fe03c5d75f\",\"type\":\"Grid\"},{\"id\":\"1dfde00d-e336-4f16-a42d-b8e49ba33467\",\"type\":\"BoxAnnotation\"},{\"id\":\"14c0231d-e975-49eb-aa15-618f6006ea63\",\"type\":\"GlyphRenderer\"},{\"id\":\"a0be3be8-d62e-4715-9efe-a80fab5cc402\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"208410be-d516-43be-9cdf-4aa996b69085\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"876a0c1b-78c1-4210-9bfc-bd4885b781fb\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"40abe91d-7271-448d-ab39-b4587a306060\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"b83aee8e-5b4c-4b0b-bdd1-06361eedde34\",\"type\":\"DataRange1d\"},\"y_range\":{\"id\":\"25aa8412-c2b4-4207-9b92-496d98af80aa\",\"type\":\"DataRange1d\"}},\"id\":\"1b5867f8-a89f-4a31-80d0-f691bbc812b4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"children\":[{\"id\":\"3f1d0167-7902-4241-9a73-c924e1f7e267\",\"type\":\"Row\"}]},\"id\":\"df3dbd50-642f-451b-b535-7604cb7b3150\",\"type\":\"Column\"},{\"attributes\":{},\"id\":\"2e59b050-c152-4f8a-93c3-9e0fc97e9fe1\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":{\"id\":\"97f849ac-ee69-45c0-a5c2-64cc3b3d00e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"a9724a89-d30c-45e7-b337-8040ad439e72\",\"type\":\"ResetTool\"},{\"attributes\":{\"line_color\":{\"value\":\"blue\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"b3bd542a-096a-4d91-abe0-81c1f54b2fee\",\"type\":\"Line\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2f47230c-5d11-4e67-acc4-2d345426252a\",\"type\":\"Line\"},{\"attributes\":{\"formatter\":{\"id\":\"6d493724-80c1-41fd-b186-53a5258dad63\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"1b5867f8-a89f-4a31-80d0-f691bbc812b4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"921f7a3c-9177-444c-a79d-9d321d3874b5\",\"type\":\"BasicTicker\"}},\"id\":\"86ef7d6c-0c79-4be1-988c-87d7bed311ab\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"77d05e8f-924c-48c4-a94c-a88fb8f2c6ec\",\"type\":\"BasicTicker\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"5ee89f20-a747-4a0d-bc6b-3039eb6977be\",\"type\":\"PanTool\"},{\"id\":\"c2c75012-2d5e-4e9b-8938-46e936219b22\",\"type\":\"WheelZoomTool\"},{\"id\":\"904bdb58-7c85-4380-933e-054b181717e2\",\"type\":\"BoxZoomTool\"},{\"id\":\"d4e2eff2-c5e8-4b52-8a32-3c17c1901eb4\",\"type\":\"SaveTool\"},{\"id\":\"22471e02-ec20-4ab1-a435-364a508d37c6\",\"type\":\"ResetTool\"},{\"id\":\"a1b30e0d-bdc2-44aa-bf00-76f53e36d557\",\"type\":\"HelpTool\"}]},\"id\":\"590ca203-30f2-472a-a822-9d26735bd127\",\"type\":\"Toolbar\"},{\"attributes\":{\"plot\":{\"id\":\"1b5867f8-a89f-4a31-80d0-f691bbc812b4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"921f7a3c-9177-444c-a79d-9d321d3874b5\",\"type\":\"BasicTicker\"}},\"id\":\"0dd64037-6acc-4468-b6f0-3c8d9cdf98a4\",\"type\":\"Grid\"},{\"attributes\":{\"line_color\":{\"value\":\"red\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"46b6aa84-834a-4ed0-9345-c2c49b529b50\",\"type\":\"Line\"},{\"attributes\":{\"children\":[{\"id\":\"e92c0735-6ba6-4392-87f6-8d900ab7d198\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"97f849ac-ee69-45c0-a5c2-64cc3b3d00e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"004e69c2-709b-4536-9ebc-1edeaeb91a60\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"5d35d354-66f6-4b20-97bf-ddac90cea36f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"c365b97f-c5de-4d59-b2d7-bf2949994163\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"1b5867f8-a89f-4a31-80d0-f691bbc812b4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"b893482e-f461-4386-ad7b-6a73afd4bec1\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"226b48f4-0520-4f31-b062-d95935e680e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"3f1d0167-7902-4241-9a73-c924e1f7e267\",\"type\":\"Row\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"c90e8755-ebc5-4935-9c93-ecab0638aa5e\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"ee6afa04-4632-45b5-85b4-b663b95108d0\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"71e2cd8d-0724-4c7a-8d5a-0fa03ecca3f5\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[471]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[471]}}},\"id\":\"4d6a1456-6f8d-4f4e-b37a-464b59203c76\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_color\":{\"value\":\"blue\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"88f3a566-ba4b-4b93-a2f3-8349e4a001c9\",\"type\":\"Line\"},{\"attributes\":{\"overlay\":{\"id\":\"1dfde00d-e336-4f16-a42d-b8e49ba33467\",\"type\":\"BoxAnnotation\"},\"plot\":{\"id\":\"1b5867f8-a89f-4a31-80d0-f691bbc812b4\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"b569fe85-e360-4950-bbcb-5448ab58db58\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"b21b2876-5734-4d6c-b366-6a6a9ef02c91\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"line_color\":{\"value\":\"red\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"628086fe-5f96-4008-ab3a-2747f661c7a5\",\"type\":\"Line\"},{\"attributes\":{\"below\":[{\"id\":\"10973006-04d1-4ec0-9bc4-b9816b296ba8\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"1c97465b-9049-4366-8cd2-f57a331afbe6\",\"type\":\"LinearAxis\"}],\"plot_height\":500,\"plot_width\":150,\"renderers\":[{\"id\":\"10973006-04d1-4ec0-9bc4-b9816b296ba8\",\"type\":\"LinearAxis\"},{\"id\":\"af59d4aa-7e86-448a-a8fd-e22ab59dbb58\",\"type\":\"Grid\"},{\"id\":\"1c97465b-9049-4366-8cd2-f57a331afbe6\",\"type\":\"LinearAxis\"},{\"id\":\"3fc35347-8535-4d44-ba19-f6a4a86aede4\",\"type\":\"Grid\"},{\"id\":\"ee6afa04-4632-45b5-85b4-b663b95108d0\",\"type\":\"BoxAnnotation\"},{\"id\":\"84dd535e-582e-47c6-baf4-d79ad8b85513\",\"type\":\"GlyphRenderer\"},{\"id\":\"4e2f4959-af29-4f9d-ac72-3fbe2a5e0409\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"2fac84dc-f3f9-4283-8fe4-06b2212f1da1\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"23b4ce64-ce41-4ede-81cc-514a2976a5b7\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"590ca203-30f2-472a-a822-9d26735bd127\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"4d18155b-7882-44b1-8a0d-4c8f08dca5ac\",\"type\":\"DataRange1d\"},\"y_range\":{\"id\":\"2f799d29-551a-4908-952e-36cd83aded84\",\"type\":\"DataRange1d\"}},\"id\":\"004e69c2-709b-4536-9ebc-1edeaeb91a60\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"65a84237-5482-40fd-b369-d52946652c52\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"876a0c1b-78c1-4210-9bfc-bd4885b781fb\",\"type\":\"ToolEvents\"},{\"attributes\":{},\"id\":\"11306d6f-0739-465c-a8d8-625df0ebd23c\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"bbede866-e5be-47e9-b1ab-c138717b0343\",\"type\":\"Line\"},{\"attributes\":{\"callback\":null},\"id\":\"2f799d29-551a-4908-952e-36cd83aded84\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"8ccf2159-f314-4498-945a-1ab207981397\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data_source\":{\"id\":\"a50dd023-7f5e-457b-893a-1ead09592b53\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"f6e2e092-194c-4f1c-a44b-136f2fc1eb7f\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"379003f3-77a0-462c-9af2-3aea134319c3\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"3914879e-759a-48a0-b3fe-a6c86c709ddb\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[449]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[449]}}},\"id\":\"e74769e9-aad5-4a19-82f4-2645a1f62dd5\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"plot\":{\"id\":\"004e69c2-709b-4536-9ebc-1edeaeb91a60\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"5ee89f20-a747-4a0d-bc6b-3039eb6977be\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"636de169-afb9-464f-8239-26e1d912fc52\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"0a3deb09-c07b-44cd-8afd-9e6c2f078219\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[461]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[461]}}},\"id\":\"1a8bf3d9-2651-4039-8f6e-984b220e4831\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"below\":[{\"id\":\"8f8a3e66-79c3-47d4-b469-33e3771494e0\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"460e068f-0823-4c2b-99cb-902fa0c14a45\",\"type\":\"LinearAxis\"}],\"plot_height\":500,\"plot_width\":150,\"renderers\":[{\"id\":\"8f8a3e66-79c3-47d4-b469-33e3771494e0\",\"type\":\"LinearAxis\"},{\"id\":\"b828a6d9-4e9b-4778-a9f8-12a8aa9a468d\",\"type\":\"Grid\"},{\"id\":\"460e068f-0823-4c2b-99cb-902fa0c14a45\",\"type\":\"LinearAxis\"},{\"id\":\"145a0f31-3d43-4f9d-b4ba-02b033490953\",\"type\":\"Grid\"},{\"id\":\"fb9aedb2-82fa-4aa2-842f-0644ba8e7cab\",\"type\":\"BoxAnnotation\"},{\"id\":\"604b1c6d-4f16-4d4d-9e3b-df8d6989092b\",\"type\":\"GlyphRenderer\"},{\"id\":\"992e83ba-b36f-47ac-a802-90137594d6c6\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"bac219a8-f30f-44b1-a61f-64e2e522e99c\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"a3bb6a61-4de3-46f7-a8dc-635d0964cc4e\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"6bb07f38-f2a4-4162-8107-f46339d2df9f\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"4d6a4ccc-6ae3-46b8-aab3-ee853864d98f\",\"type\":\"DataRange1d\"},\"y_range\":{\"id\":\"dd918365-f077-4e21-917e-8b0df4ebe914\",\"type\":\"DataRange1d\"}},\"id\":\"5d35d354-66f6-4b20-97bf-ddac90cea36f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"formatter\":{\"id\":\"636de169-afb9-464f-8239-26e1d912fc52\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"004e69c2-709b-4536-9ebc-1edeaeb91a60\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"77d05e8f-924c-48c4-a94c-a88fb8f2c6ec\",\"type\":\"BasicTicker\"}},\"id\":\"1c97465b-9049-4366-8cd2-f57a331afbe6\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null},\"id\":\"11ee81dd-9589-41b7-a237-bf2bf1b156ff\",\"type\":\"DataRange1d\"},{\"attributes\":{\"children\":[{\"id\":\"a7fb7578-64be-481c-86f1-d9b2d12cd186\",\"type\":\"ToolbarBox\"},{\"id\":\"df3dbd50-642f-451b-b535-7604cb7b3150\",\"type\":\"Column\"}]},\"id\":\"3713438a-e8b0-4a04-98d8-bacc11c44656\",\"type\":\"Column\"},{\"attributes\":{},\"id\":\"faf3b566-1c06-4f85-8bb9-58940290550c\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"29844283-4c60-4929-be71-6fee13e75b30\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null},\"id\":\"4d6a4ccc-6ae3-46b8-aab3-ee853864d98f\",\"type\":\"DataRange1d\"},{\"attributes\":{\"line_color\":{\"value\":\"red\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"85bad541-b909-4190-8e3e-2e0d9c949b08\",\"type\":\"Line\"},{\"attributes\":{\"formatter\":{\"id\":\"9ef59370-8512-4cc0-91d3-5a5990217620\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"97f849ac-ee69-45c0-a5c2-64cc3b3d00e3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"0671d79e-3169-4cd6-859f-84b3d121e576\",\"type\":\"BasicTicker\"}},\"id\":\"cae9a877-9e72-4c84-99f8-82694a6eaafe\",\"type\":\"LinearAxis\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"faac52d8-69c4-4043-a2f4-daa3febbc2cf\",\"type\":\"Line\"}],\"root_ids\":[\"3713438a-e8b0-4a04-98d8-bacc11c44656\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.4\"}};\n",
       "            var render_items = [{\"docid\":\"cb9ebc5a-31a4-4f59-8943-95328ecef8fb\",\"elementid\":\"51e06b90-2848-4aed-9337-225be684fbe6\",\"modelid\":\"3713438a-e8b0-4a04-98d8-bacc11c44656\"}];\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(\"51e06b90-2848-4aed-9337-225be684fbe6\")).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": [
    "# Some quick-look plots, PE has been highlighted, as this appears to be missing from the alternative version of the training dataset\n",
    "plots = []\n",
    "for well, group in train.groupby('Well Name'):\n",
    "    group = group.sort_values(by = 'Depth')\n",
    "    plots.append(bk.figure(height = 500, width = 150))\n",
    "    plots[-1].line(group['PE'], group['Depth'], color = 'blue')\n",
    "    plots[-1].line(group['DeltaPHI'], group['Depth'], color = 'red')\n",
    "    plots[-1].title.text = well\n",
    "    \n",
    "grid = bk.gridplot([plots])\n",
    "bk.show(grid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Set string features to integers\n",
    "\n",
    "for i, value in enumerate(train['Formation'].unique()):\n",
    "    train.loc[train['Formation'] == value, 'Formation'] = i\n",
    "    \n",
    "for i, value in enumerate(train['Well Name'].unique()):\n",
    "    train.loc[train['Well Name'] == value, 'Well Name'] = i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Used to reassign index, initally after attempting to upsample results\n",
    "\n",
    "train['orig_index'] = train.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Define resample factors\n",
    "resample_factors = [2, 5, 10, 25, 50]\n",
    "\n",
    "initial_columns = ['Formation', 'Well Name', 'Depth', 'GR', 'ILD_log10',\n",
    "       'DeltaPHI', 'PHIND', 'PE', 'NM_M', 'RELPOS']\n",
    "div_columns = ['Depth', 'GR', 'ILD_log10',\n",
    "       'DeltaPHI', 'PHIND', 'PE', 'NM_M', 'RELPOS']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Use rolling windows through upsampled frame, grouping by well name.\n",
    "\n",
    "# Empty list to hold frames\n",
    "mean_frames = []\n",
    "above = []\n",
    "below = []\n",
    "\n",
    "for well, group in train.groupby('Well Name'):\n",
    "    # Empty list to hold rolling frames\n",
    "    constructor_list = []\n",
    "    for f in resample_factors:\n",
    "        \n",
    "        working_frame = group[['Depth', 'GR', 'ILD_log10', 'DeltaPHI', 'PHIND', 'PE', 'NM_M',\n",
    "       'RELPOS']]\n",
    "        \n",
    "        mean_frame = working_frame.rolling(window = f, center = True).mean().interpolate(method = 'index', limit_direction = 'both', limit = None)\n",
    "        mean_frame.columns = ['Mean_{0}_{1}'.format(f, column) for column in mean_frame.columns]\n",
    "        max_frame = working_frame.rolling(window = f, center = True).max().interpolate(method = 'index', limit_direction = 'both', limit = None)\n",
    "        max_frame.columns = ['Max_{0}_{1}'.format(f, column) for column in max_frame.columns]\n",
    "        min_frame = working_frame.rolling(window = f, center = True).min().interpolate(method = 'index', limit_direction = 'both', limit = None)\n",
    "        min_frame.columns = ['Min_{0}_{1}'.format(f, column) for column in min_frame.columns]\n",
    "        std_frame = working_frame.rolling(window = f, center = True).std().interpolate(method = 'index', limit_direction = 'both', limit = None)\n",
    "        std_frame.columns = ['Std_{0}_{1}'.format(f, column) for column in std_frame.columns]\n",
    "        var_frame = working_frame.rolling(window = f, center = True).var().interpolate(method = 'index', limit_direction = 'both', limit = None)\n",
    "        var_frame.columns = ['Var_{0}_{1}'.format(f, column) for column in var_frame.columns]\n",
    "        diff_frame = working_frame.diff(f, axis = 0).interpolate(method = 'index', limit_direction = 'both', limit = None)\n",
    "        diff_frame.columns = ['Diff_{0}_{1}'.format(f, column) for column in diff_frame.columns]\n",
    "        rdiff_frame = working_frame.sort_index(ascending = False).diff(f, axis = 0).interpolate(method = 'index', limit_direction = 'both', limit = None).sort_index()\n",
    "        rdiff_frame.columns = ['Rdiff_{0}_{1}'.format(f, column) for column in rdiff_frame.columns]\n",
    "        skew_frame = working_frame.rolling(window = f, center = True).skew().interpolate(method = 'index', limit_direction = 'both', limit = None)\n",
    "        skew_frame.columns = ['Skew_{0}_{1}'.format(f, column) for column in skew_frame.columns]\n",
    "        \n",
    "        f_frame = pd.concat((mean_frame, max_frame, min_frame, std_frame, var_frame, diff_frame, rdiff_frame), axis = 1)\n",
    "        \n",
    "        constructor_list.append(f_frame)\n",
    "        \n",
    "    well_frame = pd.concat(constructor_list, axis = 1)\n",
    "    well_frame['class'] = group['class']\n",
    "    well_frame['Well Name'] = well\n",
    "    # orig index is holding the original index locations, to make extracting the results trivial\n",
    "    well_frame['orig_index'] = group['orig_index']\n",
    "    df = group.sort_values('Depth')\n",
    "    u = df.shift(-1).fillna(method = 'ffill')\n",
    "    b = df.shift(1).fillna(method = 'bfill')\n",
    "    above.append(u[div_columns])\n",
    "    below.append(b[div_columns])\n",
    "    \n",
    "    mean_frames.append(well_frame.fillna(method = 'bfill').fillna(method = 'ffill'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Concatenate all sub-frames together into single 'upsampled_frane'\n",
    "frame = train\n",
    "frame.index = frame['orig_index']\n",
    "frame.drop(['orig_index', 'class', 'Well Name'], axis = 1, inplace = True)\n",
    "\n",
    "for f in mean_frames:\n",
    "    f.index = f['orig_index']\n",
    "\n",
    "rolling_frame = pd.concat(mean_frames, axis = 0)\n",
    "above_frame = pd.concat(above)\n",
    "above_frame.columns = ['above_'+ column for column in above_frame.columns]\n",
    "below_frame = pd.concat(below)\n",
    "below_frame.columns = ['below_'+ column for column in below_frame.columns]\n",
    "upsampled_frame = pd.concat((frame, rolling_frame, above_frame, below_frame), axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Features is the column set used for training the model\n",
    "features = [feature for feature in upsampled_frame.columns if 'class' not in feature]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Normalise dataset\n",
    "std_scaler = preprocessing.StandardScaler().fit(upsampled_frame[features])\n",
    "\n",
    "train_std = std_scaler.transform(upsampled_frame[features])\n",
    "\n",
    "train_std_frame = upsampled_frame\n",
    "for i, column in enumerate(features):\n",
    "    train_std_frame.loc[:, column] = train_std[:, i]\n",
    "\n",
    "upsampled_frame_std = train_std_frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Create ratios between features\n",
    "div_columns = ['Depth', 'GR', 'ILD_log10',\n",
    "       'DeltaPHI', 'PHIND', 'PE', 'NM_M', 'RELPOS']\n",
    "\n",
    "for feature in div_columns:\n",
    "    for f in div_columns:\n",
    "        if f == feature:\n",
    "            continue\n",
    "        upsampled_frame['{0}_{1}'.format(feature, f)] = upsampled_frame[f] / upsampled_frame[feature]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Formation', 'Depth', 'GR', 'ILD_log10', 'DeltaPHI', 'PHIND', 'PE', 'NM_M', 'RELPOS', 'Mean_2_Depth', 'Mean_2_GR', 'Mean_2_ILD_log10', 'Mean_2_DeltaPHI', 'Mean_2_PHIND', 'Mean_2_PE', 'Mean_2_NM_M', 'Mean_2_RELPOS', 'Max_2_Depth', 'Max_2_GR', 'Max_2_ILD_log10', 'Max_2_DeltaPHI', 'Max_2_PHIND', 'Max_2_PE', 'Max_2_NM_M', 'Max_2_RELPOS', 'Min_2_Depth', 'Min_2_GR', 'Min_2_ILD_log10', 'Min_2_DeltaPHI', 'Min_2_PHIND', 'Min_2_PE', 'Min_2_NM_M', 'Min_2_RELPOS', 'Std_2_Depth', 'Std_2_GR', 'Std_2_ILD_log10', 'Std_2_DeltaPHI', 'Std_2_PHIND', 'Std_2_PE', 'Std_2_NM_M', 'Std_2_RELPOS', 'Var_2_Depth', 'Var_2_GR', 'Var_2_ILD_log10', 'Var_2_DeltaPHI', 'Var_2_PHIND', 'Var_2_PE', 'Var_2_NM_M', 'Var_2_RELPOS', 'Diff_2_Depth', 'Diff_2_GR', 'Diff_2_ILD_log10', 'Diff_2_DeltaPHI', 'Diff_2_PHIND', 'Diff_2_PE', 'Diff_2_NM_M', 'Diff_2_RELPOS', 'Rdiff_2_Depth', 'Rdiff_2_GR', 'Rdiff_2_ILD_log10', 'Rdiff_2_DeltaPHI', 'Rdiff_2_PHIND', 'Rdiff_2_PE', 'Rdiff_2_NM_M', 'Rdiff_2_RELPOS', 'Mean_5_Depth', 'Mean_5_GR', 'Mean_5_ILD_log10', 'Mean_5_DeltaPHI', 'Mean_5_PHIND', 'Mean_5_PE', 'Mean_5_NM_M', 'Mean_5_RELPOS', 'Max_5_Depth', 'Max_5_GR', 'Max_5_ILD_log10', 'Max_5_DeltaPHI', 'Max_5_PHIND', 'Max_5_PE', 'Max_5_NM_M', 'Max_5_RELPOS', 'Min_5_Depth', 'Min_5_GR', 'Min_5_ILD_log10', 'Min_5_DeltaPHI', 'Min_5_PHIND', 'Min_5_PE', 'Min_5_NM_M', 'Min_5_RELPOS', 'Std_5_Depth', 'Std_5_GR', 'Std_5_ILD_log10', 'Std_5_DeltaPHI', 'Std_5_PHIND', 'Std_5_PE', 'Std_5_NM_M', 'Std_5_RELPOS', 'Var_5_Depth', 'Var_5_GR', 'Var_5_ILD_log10', 'Var_5_DeltaPHI', 'Var_5_PHIND', 'Var_5_PE', 'Var_5_NM_M', 'Var_5_RELPOS', 'Diff_5_Depth', 'Diff_5_GR', 'Diff_5_ILD_log10', 'Diff_5_DeltaPHI', 'Diff_5_PHIND', 'Diff_5_PE', 'Diff_5_NM_M', 'Diff_5_RELPOS', 'Rdiff_5_Depth', 'Rdiff_5_GR', 'Rdiff_5_ILD_log10', 'Rdiff_5_DeltaPHI', 'Rdiff_5_PHIND', 'Rdiff_5_PE', 'Rdiff_5_NM_M', 'Rdiff_5_RELPOS', 'Mean_10_Depth', 'Mean_10_GR', 'Mean_10_ILD_log10', 'Mean_10_DeltaPHI', 'Mean_10_PHIND', 'Mean_10_PE', 'Mean_10_NM_M', 'Mean_10_RELPOS', 'Max_10_Depth', 'Max_10_GR', 'Max_10_ILD_log10', 'Max_10_DeltaPHI', 'Max_10_PHIND', 'Max_10_PE', 'Max_10_NM_M', 'Max_10_RELPOS', 'Min_10_Depth', 'Min_10_GR', 'Min_10_ILD_log10', 'Min_10_DeltaPHI', 'Min_10_PHIND', 'Min_10_PE', 'Min_10_NM_M', 'Min_10_RELPOS', 'Std_10_Depth', 'Std_10_GR', 'Std_10_ILD_log10', 'Std_10_DeltaPHI', 'Std_10_PHIND', 'Std_10_PE', 'Std_10_NM_M', 'Std_10_RELPOS', 'Var_10_Depth', 'Var_10_GR', 'Var_10_ILD_log10', 'Var_10_DeltaPHI', 'Var_10_PHIND', 'Var_10_PE', 'Var_10_NM_M', 'Var_10_RELPOS', 'Diff_10_Depth', 'Diff_10_GR', 'Diff_10_ILD_log10', 'Diff_10_DeltaPHI', 'Diff_10_PHIND', 'Diff_10_PE', 'Diff_10_NM_M', 'Diff_10_RELPOS', 'Rdiff_10_Depth', 'Rdiff_10_GR', 'Rdiff_10_ILD_log10', 'Rdiff_10_DeltaPHI', 'Rdiff_10_PHIND', 'Rdiff_10_PE', 'Rdiff_10_NM_M', 'Rdiff_10_RELPOS', 'Mean_25_Depth', 'Mean_25_GR', 'Mean_25_ILD_log10', 'Mean_25_DeltaPHI', 'Mean_25_PHIND', 'Mean_25_PE', 'Mean_25_NM_M', 'Mean_25_RELPOS', 'Max_25_Depth', 'Max_25_GR', 'Max_25_ILD_log10', 'Max_25_DeltaPHI', 'Max_25_PHIND', 'Max_25_PE', 'Max_25_NM_M', 'Max_25_RELPOS', 'Min_25_Depth', 'Min_25_GR', 'Min_25_ILD_log10', 'Min_25_DeltaPHI', 'Min_25_PHIND', 'Min_25_PE', 'Min_25_NM_M', 'Min_25_RELPOS', 'Std_25_Depth', 'Std_25_GR', 'Std_25_ILD_log10', 'Std_25_DeltaPHI', 'Std_25_PHIND', 'Std_25_PE', 'Std_25_NM_M', 'Std_25_RELPOS', 'Var_25_Depth', 'Var_25_GR', 'Var_25_ILD_log10', 'Var_25_DeltaPHI', 'Var_25_PHIND', 'Var_25_PE', 'Var_25_NM_M', 'Var_25_RELPOS', 'Diff_25_Depth', 'Diff_25_GR', 'Diff_25_ILD_log10', 'Diff_25_DeltaPHI', 'Diff_25_PHIND', 'Diff_25_PE', 'Diff_25_NM_M', 'Diff_25_RELPOS', 'Rdiff_25_Depth', 'Rdiff_25_GR', 'Rdiff_25_ILD_log10', 'Rdiff_25_DeltaPHI', 'Rdiff_25_PHIND', 'Rdiff_25_PE', 'Rdiff_25_NM_M', 'Rdiff_25_RELPOS', 'Mean_50_Depth', 'Mean_50_GR', 'Mean_50_ILD_log10', 'Mean_50_DeltaPHI', 'Mean_50_PHIND', 'Mean_50_PE', 'Mean_50_NM_M', 'Mean_50_RELPOS', 'Max_50_Depth', 'Max_50_GR', 'Max_50_ILD_log10', 'Max_50_DeltaPHI', 'Max_50_PHIND', 'Max_50_PE', 'Max_50_NM_M', 'Max_50_RELPOS', 'Min_50_Depth', 'Min_50_GR', 'Min_50_ILD_log10', 'Min_50_DeltaPHI', 'Min_50_PHIND', 'Min_50_PE', 'Min_50_NM_M', 'Min_50_RELPOS', 'Std_50_Depth', 'Std_50_GR', 'Std_50_ILD_log10', 'Std_50_DeltaPHI', 'Std_50_PHIND', 'Std_50_PE', 'Std_50_NM_M', 'Std_50_RELPOS', 'Var_50_Depth', 'Var_50_GR', 'Var_50_ILD_log10', 'Var_50_DeltaPHI', 'Var_50_PHIND', 'Var_50_PE', 'Var_50_NM_M', 'Var_50_RELPOS', 'Diff_50_Depth', 'Diff_50_GR', 'Diff_50_ILD_log10', 'Diff_50_DeltaPHI', 'Diff_50_PHIND', 'Diff_50_PE', 'Diff_50_NM_M', 'Diff_50_RELPOS', 'Rdiff_50_Depth', 'Rdiff_50_GR', 'Rdiff_50_ILD_log10', 'Rdiff_50_DeltaPHI', 'Rdiff_50_PHIND', 'Rdiff_50_PE', 'Rdiff_50_NM_M', 'Rdiff_50_RELPOS', 'Well Name', 'orig_index', 'above_Depth', 'above_GR', 'above_ILD_log10', 'above_DeltaPHI', 'above_PHIND', 'above_PE', 'above_NM_M', 'above_RELPOS', 'below_Depth', 'below_GR', 'below_ILD_log10', 'below_DeltaPHI', 'below_PHIND', 'below_PE', 'below_NM_M', 'below_RELPOS', 'Depth_GR', 'Depth_ILD_log10', 'Depth_DeltaPHI', 'Depth_PHIND', 'Depth_PE', 'Depth_NM_M', 'Depth_RELPOS', 'GR_Depth', 'GR_ILD_log10', 'GR_DeltaPHI', 'GR_PHIND', 'GR_PE', 'GR_NM_M', 'GR_RELPOS', 'ILD_log10_Depth', 'ILD_log10_GR', 'ILD_log10_DeltaPHI', 'ILD_log10_PHIND', 'ILD_log10_PE', 'ILD_log10_NM_M', 'ILD_log10_RELPOS', 'DeltaPHI_Depth', 'DeltaPHI_GR', 'DeltaPHI_ILD_log10', 'DeltaPHI_PHIND', 'DeltaPHI_PE', 'DeltaPHI_NM_M', 'DeltaPHI_RELPOS', 'PHIND_Depth', 'PHIND_GR', 'PHIND_ILD_log10', 'PHIND_DeltaPHI', 'PHIND_PE', 'PHIND_NM_M', 'PHIND_RELPOS', 'PE_Depth', 'PE_GR', 'PE_ILD_log10', 'PE_DeltaPHI', 'PE_PHIND', 'PE_NM_M', 'PE_RELPOS', 'NM_M_Depth', 'NM_M_GR', 'NM_M_ILD_log10', 'NM_M_DeltaPHI', 'NM_M_PHIND', 'NM_M_PE', 'NM_M_RELPOS', 'RELPOS_Depth', 'RELPOS_GR', 'RELPOS_ILD_log10', 'RELPOS_DeltaPHI', 'RELPOS_PHIND', 'RELPOS_PE', 'RELPOS_NM_M']\n"
     ]
    }
   ],
   "source": [
    "features = []\n",
    "[features.append(column) for column in upsampled_frame.columns if 'class' not in column]\n",
    "print(features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train_f, test_f = train_test_split(upsampled_frame_std, test_size = 0.2, \n",
    "                                   random_state = 72)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pipeline(steps=[('featureunion', FeatureUnion(n_jobs=1,\n",
       "       transformer_list=[('votingclassifier', VotingClassifier(estimators=[('est', ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy',\n",
       "           max_depth=None, max_features=0.36, max_leaf_nodes=None,\n",
       "           min_impurity_s...it=2, min_weight_fraction_leaf=0.0,\n",
       "            presort=False, random_state=None, splitter='best'))])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# --------------------------\n",
    "# TPOT Generated Model\n",
    "from sklearn.ensemble import ExtraTreesClassifier, VotingClassifier\n",
    "from sklearn.pipeline import make_pipeline, make_union\n",
    "from sklearn.preprocessing import FunctionTransformer\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "exported_pipeline = make_pipeline(\n",
    "    make_union(VotingClassifier([(\"est\", ExtraTreesClassifier(criterion=\"entropy\", max_features=0.36, n_estimators=500))]), FunctionTransformer(lambda X: X)),\n",
    "    DecisionTreeClassifier()\n",
    ")\n",
    "\n",
    "exported_pipeline.fit(train_f[features], train_f['class'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.87789799072642971"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exported_pipeline.score(test_f[features], test_f['class'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Pred    SS  CSiS  FSiS  SiSh    MS    WS     D    PS    BS Total\n",
      "     True\n",
      "       SS    46     6     1                                        53\n",
      "     CSiS     2   132    10                             1         145\n",
      "     FSiS           4   115                                       119\n",
      "     SiSh     1     1          31     1     3           2          39\n",
      "       MS                       3    29     7           5          44\n",
      "       WS                       3     5    77           9     1    95\n",
      "        D                       1           1    16                18\n",
      "       PS                 2           1     6     1    96     1   107\n",
      "       BS                                   1                26    27\n",
      "\n",
      "Precision  0.94  0.92  0.90  0.82  0.81  0.81  0.94  0.85  0.93  0.88\n",
      "   Recall  0.87  0.91  0.97  0.79  0.66  0.81  0.89  0.90  0.96  0.88\n",
      "       F1  0.90  0.92  0.93  0.81  0.73  0.81  0.91  0.87  0.95  0.88\n",
      "0.877897990726\n",
      "0.964451313756\n"
     ]
    }
   ],
   "source": [
    "result = exported_pipeline.predict(test_f[features])\n",
    "\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from classification_utilities import display_cm, display_adj_cm\n",
    "\n",
    "conf = confusion_matrix(test_f['class'], result)\n",
    "display_cm(conf, facies_labels, hide_zeros = True, display_metrics = True)\n",
    "\n",
    "def accuracy(conf):\n",
    "    total_correct = 0\n",
    "    nb_classes = conf.shape[0]\n",
    "    for i in np.arange(0, nb_classes):\n",
    "        total_correct += conf[i][i]\n",
    "    acc = total_correct / sum(sum(conf))\n",
    "    return acc\n",
    "\n",
    "print (accuracy(conf))\n",
    "\n",
    "adjacent_facies = np.array([[1], [0, 2], [1], [4], [3, 5], [4, 6, 7], [5, 7], [5, 6, 8], [6, 7]])\n",
    "\n",
    "def accuracy_adjacent(conf, adjacent_facies):\n",
    "    nb_classes = conf.shape[0]\n",
    "    total_correct = 0\n",
    "    for i in np.arange(0, nb_classes):\n",
    "        total_correct += conf[i][i]\n",
    "        for j in adjacent_facies[i]:\n",
    "            total_correct += conf[i][j]\n",
    "    return total_correct / sum(sum(conf))\n",
    "\n",
    "print(accuracy_adjacent(conf, adjacent_facies))            "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now load and process the test data set, then predict using the 'exported_pipeline' model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "test_path = '../validation_data_nofacies.csv'\n",
    "\n",
    "# Read training data to dataframe\n",
    "test = pd.read_csv(test_path)\n",
    "\n",
    "# Set string features to integers\n",
    "\n",
    "for i, value in enumerate(test['Formation'].unique()):\n",
    "    test.loc[test['Formation'] == value, 'Formation'] = i\n",
    "    \n",
    "for i, value in enumerate(test['Well Name'].unique()):\n",
    "    test.loc[test['Well Name'] == value, 'Well Name'] = i\n",
    "\n",
    "# The first thing that will be done is to upsample and interpolate the training data,\n",
    "# the objective here is to provide significantly more samples to train the regressor on and\n",
    "# also to capture more of the sample interdependancy.\n",
    "upsampled_arrays = []\n",
    "test['orig_index'] = test.index\n",
    "\n",
    "# Use rolling windows through upsampled frame, grouping by well name.\n",
    "\n",
    "# Empty list to hold frames\n",
    "mean_frames = []\n",
    "above = []\n",
    "below = []\n",
    "\n",
    "for well, group in test.groupby('Well Name'):\n",
    "    # Empty list to hold rolling frames\n",
    "    constructor_list = []\n",
    "    for f in resample_factors:\n",
    "        \n",
    "        working_frame = group[['Depth', 'GR', 'ILD_log10', 'DeltaPHI', 'PHIND', 'PE', 'NM_M',\n",
    "       'RELPOS']]\n",
    "        \n",
    "        mean_frame = working_frame.rolling(window = f, center = True).mean().interpolate(method = 'index', limit_direction = 'both', limit = None)\n",
    "        mean_frame.columns = ['Mean_{0}_{1}'.format(f, column) for column in mean_frame.columns]\n",
    "        max_frame = working_frame.rolling(window = f, center = True).max().interpolate(method = 'index', limit_direction = 'both', limit = None)\n",
    "        max_frame.columns = ['Max_{0}_{1}'.format(f, column) for column in max_frame.columns]\n",
    "        min_frame = working_frame.rolling(window = f, center = True).min().interpolate(method = 'index', limit_direction = 'both', limit = None)\n",
    "        min_frame.columns = ['Min_{0}_{1}'.format(f, column) for column in min_frame.columns]\n",
    "        std_frame = working_frame.rolling(window = f, center = True).std().interpolate(method = 'index', limit_direction = 'both', limit = None)\n",
    "        std_frame.columns = ['Std_{0}_{1}'.format(f, column) for column in std_frame.columns]\n",
    "        var_frame = working_frame.rolling(window = f, center = True).var().interpolate(method = 'index', limit_direction = 'both', limit = None)\n",
    "        var_frame.columns = ['Var_{0}_{1}'.format(f, column) for column in var_frame.columns]\n",
    "        diff_frame = working_frame.diff(f, axis = 0).interpolate(method = 'index', limit_direction = 'both', limit = None)\n",
    "        diff_frame.columns = ['Diff_{0}_{1}'.format(f, column) for column in diff_frame.columns]\n",
    "        rdiff_frame = working_frame.sort_index(ascending = False).diff(f, axis = 0).interpolate(method = 'index', limit_direction = 'both', limit = None).sort_index()\n",
    "        rdiff_frame.columns = ['Rdiff_{0}_{1}'.format(f, column) for column in rdiff_frame.columns]\n",
    "        skew_frame = working_frame.rolling(window = f, center = True).skew().interpolate(method = 'index', limit_direction = 'both', limit = None)\n",
    "        skew_frame.columns = ['Skew_{0}_{1}'.format(f, column) for column in skew_frame.columns]\n",
    "        \n",
    "        f_frame = pd.concat((mean_frame, max_frame, min_frame, std_frame, var_frame, diff_frame, rdiff_frame), axis = 1)\n",
    "        \n",
    "        constructor_list.append(f_frame)\n",
    "        \n",
    "    well_frame = pd.concat(constructor_list, axis = 1)\n",
    "    well_frame['Well Name'] = well\n",
    "    # orig index is holding the original index locations, to make extracting the results trivial\n",
    "    well_frame['orig_index'] = group['orig_index']\n",
    "    df = group.sort_values('Depth')\n",
    "    u = df.shift(-1).fillna(method = 'ffill')\n",
    "    b = df.shift(1).fillna(method = 'bfill')\n",
    "    above.append(u[div_columns])\n",
    "    below.append(b[div_columns])\n",
    "    \n",
    "    mean_frames.append(well_frame.fillna(method = 'bfill').fillna(method = 'ffill'))\n",
    "    \n",
    "frame = test\n",
    "frame.index = frame['orig_index']\n",
    "frame.drop(['orig_index', 'Well Name'], axis = 1, inplace = True)\n",
    "\n",
    "for f in mean_frames:\n",
    "    f.index = f['orig_index']\n",
    "\n",
    "rolling_frame = pd.concat(mean_frames, axis = 0)\n",
    "above_frame = pd.concat(above)\n",
    "above_frame.columns = ['above_'+ column for column in above_frame.columns]\n",
    "below_frame = pd.concat(below)\n",
    "below_frame.columns = ['below_'+ column for column in below_frame.columns]\n",
    "upsampled_frame = pd.concat((frame, rolling_frame, above_frame, below_frame), axis = 1)\n",
    "\n",
    "features = [feature for feature in upsampled_frame.columns if 'class' not in feature]\n",
    "\n",
    "std_scaler = preprocessing.StandardScaler().fit(upsampled_frame[features])\n",
    "train_std = std_scaler.transform(upsampled_frame[features])\n",
    "\n",
    "train_std_frame = upsampled_frame\n",
    "for i, column in enumerate(features):\n",
    "    train_std_frame.loc[:, column] = train_std[:, i]\n",
    "\n",
    "upsampled_frame_std = train_std_frame\n",
    "\n",
    "for feature in div_columns:\n",
    "    for f in div_columns:\n",
    "        if f == feature:\n",
    "            continue\n",
    "        upsampled_frame['{0}_{1}'.format(feature, f)] = upsampled_frame[f] / upsampled_frame[feature]\n",
    "        \n",
    "features = [feature for feature in upsampled_frame.columns if 'class' not in feature]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Predict result on full sample set\n",
    "result = exported_pipeline.predict(upsampled_frame[features])\n",
    "# Add result to test set\n",
    "upsampled_frame['Facies'] = result\n",
    "# Output to csv\n",
    "upsampled_frame.to_csv('05 - Well Facies Prediction - Test Data Set.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda env:seg_competition]",
   "language": "python",
   "name": "conda-env-seg_competition-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}