IndividualForests-EnsembleAvg-Clusters_mgp.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\", message=\".*The 'nopython' keyword.*\")\n",
    "\n",
    "import pandas as pd\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "LAGS = list(range(1,60,5))\n",
    "# top_percentile = 0.95 \n",
    "incoming_edges = 4\n",
    "minEdgeValue = 0.0001 #0.00001\n",
    "window_range = 750\n",
    "\n",
    "members = ['ens1']\n",
    "\n",
    "feat_types = [\"T050\",\"FLNT\",\"AEROD_v\",\"TREFHT\",\"FSDSC\"]\n",
    "\n",
    "\n",
    "pathway = 2\n",
    "\n",
    "img_dir = \"Images_Sandbox/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "def readClusterData(filename,feat_type):\n",
    "    X = np.load(filename)\n",
    "    \n",
    "    data = {}\n",
    "    for i in range(len(X[0])):\n",
    "        data[feat_type+\"_\"+str(i+1)] = list(X[:,i])\n",
    "    return data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "RAW_DATA = {}\n",
    "\n",
    "if pathway == 1:\n",
    "    img_dir += \"Cluster_Global_3_T050_\"\n",
    "    filelist = [(\"Data_ClusterCounts/ens1_50hpa_p5_3x3_trimmed_FLNT_3clusters_global_counts.npy\",\"FLNT\"),\n",
    "                (\"Data_ClusterCounts/ens1_50hpa_p5_3x3_trimmed_T050_3clusters_global_counts.npy\",\"T050\"),\n",
    "                (\"Data_ClusterCounts/ens1_p5_3x3_trimmed_AEROD_v_3clusters_global_counts.npy\",\"AEROD_v\")]\n",
    "\n",
    "    filelist_cf = [(\"Data_ClusterCounts/ens1_cf_50hpa_p5_3x3_trimmed_FLNT_3clusters_global_counts.npy\",\"cf_FLNT\"),\n",
    "                   (\"Data_ClusterCounts/ens1_cf_50hpa_p5_3x3_trimmed_T050_3clusters_global_counts.npy\",\"cf_T050\"),\n",
    "                   (\"Data_ClusterCounts/ens1_cf_p5_3x3_trimmed_AEROD_v_3clusters_global_counts.npy\",\"cf_AEROD_v\")]\n",
    "if pathway == 2:\n",
    "    img_dir += \"Cluster_Global_3_TREFHT_\"\n",
    "    filelist = [(\"Data_ClusterCounts/ens1_1000hpa_p5_3x3_trimmed_FSDSC_3clusters_global_counts.npy\",\"FSDSC\"),\n",
    "                (\"Data_ClusterCounts/ens1_1000hpa_p5_3x3_trimmed_TREFHT_3clusters_global_counts.npy\",\"TREFHT\"),\n",
    "                (\"Data_ClusterCounts/ens1_p5_3x3_trimmed_AEROD_v_3clusters_global_counts.npy\",\"AEROD_v\")]\n",
    "\n",
    "    filelist_cf = [(\"Data_ClusterCounts/ens1_cf_1000hpa_p5_3x3_trimmed_FSDSC_3clusters_global_counts.npy\",\"cf_FSDSC\"),\n",
    "                   (\"Data_ClusterCounts/ens1_cf_1000hpa_p5_3x3_trimmed_TREFHT_3clusters_global_counts.npy\",\"cf_TREFHT\"),\n",
    "                   (\"Data_ClusterCounts/ens1_cf_p5_3x3_trimmed_AEROD_v_3clusters_global_counts.npy\",\"cf_AEROD_v\")]\n",
    "\n",
    "for f,ft in filelist:\n",
    "    RAW_DATA.update(readClusterData(f,ft))\n",
    "\n",
    "cf_RAW_DATA = {}\n",
    "for f,ft in filelist_cf:\n",
    "    cf_RAW_DATA.update(readClusterData(f,ft))\n",
    "\n",
    "if window_range != None:\n",
    "    img_dir += str(window_range)+\"_\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from RFR import normByFeat\n",
    "\n",
    "ENS_DATA ={}\n",
    "ENS_feat_ranges = {}\n",
    "\n",
    "for ens_member in members:\n",
    "#     ENS_DATA[ens_member] = {}\n",
    "#     for data_key in RAW_DATA.keys():\n",
    "#         ENS_DATA[ens_member].update({key: RAW_DATA[data_key][key] for key in RAW_DATA[data_key].keys() if ens_member in key})\n",
    "    \n",
    "    DATA_subtract = {}\n",
    "\n",
    "    for d in RAW_DATA.keys():\n",
    "        DATA_subtract[d] = [a - b for a, b in zip(RAW_DATA[d], cf_RAW_DATA[\"cf_\"+d])][:window_range]\n",
    "\n",
    "    ENS_DATA[ens_member] = DATA_subtract\n",
    "\n",
    "\n",
    "    ENS_DATA[ens_member],ENS_feat_ranges[ens_member] = normByFeat(ENS_DATA[ens_member],feat_types=feat_types,norm_range=(-1,1))\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "ens1\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AEROD_v_1 0.968\n",
      "AEROD_v_2 0.969\n",
      "AEROD_v_3 0.955\n",
      "FSDSC_1 0.722\n",
      "FSDSC_2 0.886\n",
      "FSDSC_3 0.9\n",
      "TREFHT_1 0.816\n",
      "TREFHT_2 0.746\n",
      "TREFHT_3 0.756\n"
     ]
    }
   ],
   "source": [
    "from RFR import run\n",
    "from RFR import genCompleteMap\n",
    "import numpy as np\n",
    "\n",
    "ENS_dfs = {}\n",
    "ENS_results = {}\n",
    "ENS_r2scores = {}\n",
    "\n",
    "for member in members:\n",
    "    print()\n",
    "    print(member)\n",
    "    ENS_dfs[member],ENS_results[member],ENS_r2scores[member] = run(ENS_DATA[member],\n",
    "                                                                  genCompleteMap(list(ENS_DATA[member].keys()),LAGS),\n",
    "                                                                  models=True,show_plot=True\n",
    "                                                                 )\n",
    "    for key,value in ENS_r2scores[member].items():\n",
    "        print(key,value)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ENS mean and std of r2 scores\n",
      "ROD_v_1 0.968 0.0\n",
      "ROD_v_2 0.969 0.0\n",
      "ROD_v_3 0.955 0.0\n",
      "DSC_1 0.722 0.0\n",
      "DSC_2 0.886 0.0\n",
      "DSC_3 0.9 0.0\n",
      "EFHT_1 0.816 0.0\n",
      "EFHT_2 0.746 0.0\n",
      "EFHT_3 0.756 0.0\n"
     ]
    }
   ],
   "source": [
    "print(\"ENS mean and std of r2 scores\")\n",
    "avg_r2scores = {}\n",
    "for member,scores in ENS_r2scores.items():\n",
    "    for key,value in scores.items():\n",
    "        k = key.split(\"ens\")[-1][2:]\n",
    "        v = value #/ num_ENS\n",
    "        if k not in avg_r2scores:\n",
    "            avg_r2scores[k] = [v]\n",
    "        else:\n",
    "            avg_r2scores[k].append(v)\n",
    "\n",
    "for key,value in avg_r2scores.items():\n",
    "    print(key,round(np.mean(value),3),round(np.std(value),3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>source</th>\n",
       "      <th>lag</th>\n",
       "      <th>Target</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Std_Weight</th>\n",
       "      <th>Non_zeros</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>805</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.23487</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>685</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.17388</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>517</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.16816</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>925</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.16177</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>637</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.15844</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>121</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>0.15259</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>0.14800</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>397</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.04876</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>241</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.03656</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>683</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00758</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>529</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00695</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>948</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00414</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>500</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>36</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00156</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>625</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00150</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>398</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>6</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00142</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>778</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>46</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00131</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>725</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00117</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>827</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00116</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>891</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00112</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>761</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00095</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>573</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>41</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00094</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>399</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>11</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00092</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>793</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00086</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>743</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00085</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>697</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00080</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>929</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00078</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>920</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00075</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>912</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00067</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>932</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00063</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>892</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>16</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00056</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>832</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>16</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00051</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>967</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>31</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00051</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>897</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>41</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00051</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>688</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>16</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00049</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>731</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00046</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>109</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>0.00045</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>896</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00045</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>894</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00043</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>936</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00043</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>817</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>916</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>16</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>893</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>777</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>41</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>371</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>51</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>384</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>56</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00036</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>389</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>21</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00035</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>874</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>46</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00035</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>808</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>16</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00034</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>957</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>41</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00034</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>539</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>51</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00034</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>908</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00033</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>635</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>51</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00033</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>338</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>6</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00032</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>760</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>16</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00032</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>527</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>51</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00032</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>794</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>6</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00031</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>737</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00031</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>821</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00031</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>390</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>26</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00031</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>822</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00030</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>901</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00029</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>831</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00029</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>940</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>16</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00029</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>582</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>26</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00029</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>872</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00029</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>837</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>41</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00029</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>851</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00028</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>848</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00025</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>838</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>46</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00025</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>770</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>6</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00024</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>917</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00024</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>402</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>26</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00024</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>776</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00024</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>860</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00024</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>751</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>31</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>800</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>884</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>803</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>856</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>16</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00022</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>465</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>41</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00022</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>813</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>41</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00022</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>474</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>26</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00021</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>522</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>26</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00021</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>930</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00021</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>488</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>36</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00021</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>406</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>46</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00021</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>755</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00021</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>815</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00021</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>757</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>566</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>6</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>568</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>16</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>772</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>16</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>466</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>46</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>928</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>16</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00019</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>773</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00019</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>762</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00019</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>966</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00019</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>934</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>46</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00019</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>386</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>6</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00018</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>843</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00018</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>931</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>31</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00018</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>922</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>46</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00018</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>626</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>6</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00017</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>594</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>26</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00017</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>810</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00017</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>358</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>46</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00017</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>850</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>46</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00017</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>804</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00017</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>938</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>6</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00016</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>771</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00016</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>855</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00016</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>857</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00016</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>846</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00016</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>947</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00016</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>784</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>16</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00015</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>642</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>26</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00015</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>740</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00015</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>812</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00015</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>825</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>41</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00015</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>706</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>46</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00015</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>565</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>327</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>11</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>747</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>329</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>21</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>377</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>21</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>727</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>31</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>764</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>836</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>933</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>41</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>334</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>46</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>742</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>46</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>889</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>711</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>915</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>785</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>905</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>881</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>486</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>26</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>703</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>31</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>705</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>41</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>779</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>876</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>830</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>6</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>758</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>6</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>795</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>759</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>927</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>448</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>16</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>954</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>608</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>36</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>728</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>956</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>921</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>41</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>802</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>46</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>359</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>51</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>935</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>720</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>816</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>638</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>6</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>484</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>16</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>341</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>21</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>581</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>21</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>749</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>344</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>36</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>560</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>36</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>969</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>41</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>682</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>46</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>227</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>51</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>707</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>660</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>708</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>972</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>949</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>961</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>363</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>11</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>663</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>340</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>16</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>328</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>16</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>520</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>16</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>666</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>885</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>41</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>478</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>46</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>646</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>46</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>670</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>46</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>659</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>767</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>733</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>913</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>556</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>16</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>90</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>26</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>678</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>726</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>702</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>858</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>571</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>31</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>715</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>31</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>919</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>31</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>716</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>407</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>51</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>971</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>636</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>56</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>361</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>902</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>6</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>735</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>903</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>820</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>16</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>401</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>21</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>593</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>21</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>378</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>26</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>606</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>26</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>738</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>882</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>391</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>31</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>679</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>31</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>943</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>31</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>883</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>31</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>887</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>959</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>744</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>661</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>614</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>6</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>842</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>6</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>939</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>376</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>16</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>496</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>16</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>628</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>16</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>952</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>16</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>665</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>798</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>774</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>392</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>36</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>752</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>824</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>357</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>41</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>873</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>41</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>346</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>46</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>490</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>46</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>467</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>51</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>792</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>924</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>373</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>421</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>457</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>362</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>6</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>746</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>6</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>710</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>6</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>592</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>16</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>485</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>21</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>342</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>26</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>870</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>691</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>31</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>704</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>788</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>333</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>41</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>238</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>46</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>574</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>46</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>694</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>46</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>431</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>51</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>647</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>51</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>360</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>56</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>13</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>337</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>469</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>781</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>111</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>11</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>400</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>16</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>724</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>16</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>748</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>16</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>365</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>21</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>701</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>404</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>36</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>416</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>36</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>428</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>36</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>393</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>41</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>345</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>41</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>718</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>46</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>754</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>46</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>335</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>51</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>347</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>51</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>695</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>791</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>372</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>56</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>336</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>56</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>864</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>385</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>829</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>230</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>6</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>410</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>6</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>677</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>510</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>26</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>631</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>31</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>667</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>31</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>775</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>31</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>405</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>41</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>370</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>46</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>430</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>46</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>562</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>46</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>396</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>56</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>648</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>56</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>684</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>277</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>325</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>721</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>350</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>6</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>734</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>6</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>339</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>11</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>736</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>16</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>473</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>21</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>235</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>31</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>409</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>74</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>6</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>0.00002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>326</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>6</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>722</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>6</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>387</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>11</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>544</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>16</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>414</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>26</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>968</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>322</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>46</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>382</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>46</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>264</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>56</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>432</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>56</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>217</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>265</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>349</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>278</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>6</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>303</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>11</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>351</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>11</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>375</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>11</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>304</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>16</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>292</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>16</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>316</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>16</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>364</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>16</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>269</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>21</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>294</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>26</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>258</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>26</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>234</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>26</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>222</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>26</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>546</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>26</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>248</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>36</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>380</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>36</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>262</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>46</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>226</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>46</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      id     source  lag     Target   Weight  Std_Weight  Non_zeros\n",
       "0    805   TREFHT_2    1   TREFHT_2  0.23487         0.0          1\n",
       "1    685   TREFHT_1    1   TREFHT_1  0.17388         0.0          1\n",
       "2    517    FSDSC_2    1    FSDSC_2  0.16816         0.0          1\n",
       "3    925   TREFHT_3    1   TREFHT_3  0.16177         0.0          1\n",
       "4    637    FSDSC_3    1    FSDSC_3  0.15844         0.0          1\n",
       "5    121  AEROD_v_2    1  AEROD_v_2  0.15259         0.0          1\n",
       "6      1  AEROD_v_1    1  AEROD_v_1  0.14800         0.0          1\n",
       "7    397    FSDSC_1    1    FSDSC_1  0.04876         0.0          1\n",
       "8    241  AEROD_v_3    1  AEROD_v_3  0.03656         0.0          1\n",
       "9    683  AEROD_v_3   51   TREFHT_1  0.00758         0.0          1\n",
       "10   529    FSDSC_3    1    FSDSC_2  0.00695         0.0          1\n",
       "11   948    FSDSC_1   56   TREFHT_3  0.00414         0.0          1\n",
       "12   500   TREFHT_3   36    FSDSC_2  0.00156         0.0          1\n",
       "13   625    FSDSC_2    1    FSDSC_3  0.00150         0.0          1\n",
       "14   398    FSDSC_1    6    FSDSC_1  0.00142         0.0          1\n",
       "15   778  AEROD_v_2   46   TREFHT_2  0.00131         0.0          1\n",
       "16   725    FSDSC_1   21   TREFHT_1  0.00117         0.0          1\n",
       "17   827   TREFHT_3   51   TREFHT_2  0.00116         0.0          1\n",
       "18   891  AEROD_v_3   11   TREFHT_3  0.00112         0.0          1\n",
       "19   761  AEROD_v_1   21   TREFHT_2  0.00095         0.0          1\n",
       "20   573  AEROD_v_3   41    FSDSC_3  0.00094         0.0          1\n",
       "21   399    FSDSC_1   11    FSDSC_1  0.00092         0.0          1\n",
       "22   793   TREFHT_1    1   TREFHT_2  0.00086         0.0          1\n",
       "23   743    FSDSC_2   51   TREFHT_1  0.00085         0.0          1\n",
       "24   697   TREFHT_2    1   TREFHT_1  0.00080         0.0          1\n",
       "25   929   TREFHT_3   21   TREFHT_3  0.00078         0.0          1\n",
       "26   920   TREFHT_2   36   TREFHT_3  0.00075         0.0          1\n",
       "27   912   TREFHT_1   56   TREFHT_3  0.00067         0.0          1\n",
       "28   932   TREFHT_3   36   TREFHT_3  0.00063         0.0          1\n",
       "29   892  AEROD_v_3   16   TREFHT_3  0.00056         0.0          1\n",
       "30   832    FSDSC_1   16   TREFHT_2  0.00051         0.0          1\n",
       "31   967    FSDSC_3   31   TREFHT_3  0.00051         0.0          1\n",
       "32   897  AEROD_v_3   41   TREFHT_3  0.00051         0.0          1\n",
       "33   688   TREFHT_1   16   TREFHT_1  0.00049         0.0          1\n",
       "34   731    FSDSC_1   51   TREFHT_1  0.00046         0.0          1\n",
       "35   109  AEROD_v_1    1  AEROD_v_2  0.00045         0.0          1\n",
       "36   896  AEROD_v_3   36   TREFHT_3  0.00045         0.0          1\n",
       "37   894  AEROD_v_3   26   TREFHT_3  0.00043         0.0          1\n",
       "38   936   TREFHT_3   56   TREFHT_3  0.00043         0.0          1\n",
       "39   817   TREFHT_3    1   TREFHT_2  0.00037         0.0          1\n",
       "40   916   TREFHT_2   16   TREFHT_3  0.00037         0.0          1\n",
       "41   893  AEROD_v_3   21   TREFHT_3  0.00037         0.0          1\n",
       "42   777  AEROD_v_2   41   TREFHT_2  0.00037         0.0          1\n",
       "43   371   TREFHT_1   51    FSDSC_1  0.00037         0.0          1\n",
       "44   384   TREFHT_2   56    FSDSC_1  0.00036         0.0          1\n",
       "45   389   TREFHT_3   21    FSDSC_1  0.00035         0.0          1\n",
       "46   874  AEROD_v_1   46   TREFHT_3  0.00035         0.0          1\n",
       "47   808   TREFHT_2   16   TREFHT_2  0.00034         0.0          1\n",
       "48   957    FSDSC_2   41   TREFHT_3  0.00034         0.0          1\n",
       "49   539    FSDSC_3   51    FSDSC_2  0.00034         0.0          1\n",
       "50   908   TREFHT_1   36   TREFHT_3  0.00033         0.0          1\n",
       "51   635    FSDSC_2   51    FSDSC_3  0.00033         0.0          1\n",
       "52   338  AEROD_v_2    6    FSDSC_1  0.00032         0.0          1\n",
       "53   760  AEROD_v_1   16   TREFHT_2  0.00032         0.0          1\n",
       "54   527    FSDSC_2   51    FSDSC_2  0.00032         0.0          1\n",
       "55   794   TREFHT_1    6   TREFHT_2  0.00031         0.0          1\n",
       "56   737    FSDSC_2   21   TREFHT_1  0.00031         0.0          1\n",
       "57   821   TREFHT_3   21   TREFHT_2  0.00031         0.0          1\n",
       "58   390   TREFHT_3   26    FSDSC_1  0.00031         0.0          1\n",
       "59   822   TREFHT_3   26   TREFHT_2  0.00030         0.0          1\n",
       "60   901   TREFHT_1    1   TREFHT_3  0.00029         0.0          1\n",
       "61   831    FSDSC_1   11   TREFHT_2  0.00029         0.0          1\n",
       "62   940    FSDSC_1   16   TREFHT_3  0.00029         0.0          1\n",
       "63   582   TREFHT_1   26    FSDSC_3  0.00029         0.0          1\n",
       "64   872  AEROD_v_1   36   TREFHT_3  0.00029         0.0          1\n",
       "65   837    FSDSC_1   41   TREFHT_2  0.00029         0.0          1\n",
       "66   851    FSDSC_2   51   TREFHT_2  0.00028         0.0          1\n",
       "67   848    FSDSC_2   36   TREFHT_2  0.00025         0.0          1\n",
       "68   838    FSDSC_1   46   TREFHT_2  0.00025         0.0          1\n",
       "69   770  AEROD_v_2    6   TREFHT_2  0.00024         0.0          1\n",
       "70   917   TREFHT_2   21   TREFHT_3  0.00024         0.0          1\n",
       "71   402    FSDSC_1   26    FSDSC_1  0.00024         0.0          1\n",
       "72   776  AEROD_v_2   36   TREFHT_2  0.00024         0.0          1\n",
       "73   860    FSDSC_3   36   TREFHT_2  0.00024         0.0          1\n",
       "74   751    FSDSC_3   31   TREFHT_1  0.00023         0.0          1\n",
       "75   800   TREFHT_1   36   TREFHT_2  0.00023         0.0          1\n",
       "76   884  AEROD_v_2   36   TREFHT_3  0.00023         0.0          1\n",
       "77   803   TREFHT_1   51   TREFHT_2  0.00023         0.0          1\n",
       "78   856    FSDSC_3   16   TREFHT_2  0.00022         0.0          1\n",
       "79   465  AEROD_v_3   41    FSDSC_2  0.00022         0.0          1\n",
       "80   813   TREFHT_2   41   TREFHT_2  0.00022         0.0          1\n",
       "81   474   TREFHT_1   26    FSDSC_2  0.00021         0.0          1\n",
       "82   522    FSDSC_2   26    FSDSC_2  0.00021         0.0          1\n",
       "83   930   TREFHT_3   26   TREFHT_3  0.00021         0.0          1\n",
       "84   488   TREFHT_2   36    FSDSC_2  0.00021         0.0          1\n",
       "85   406    FSDSC_1   46    FSDSC_1  0.00021         0.0          1\n",
       "86   755    FSDSC_3   51   TREFHT_1  0.00021         0.0          1\n",
       "87   815   TREFHT_2   51   TREFHT_2  0.00021         0.0          1\n",
       "88   757  AEROD_v_1    1   TREFHT_2  0.00020         0.0          1\n",
       "89   566  AEROD_v_3    6    FSDSC_3  0.00020         0.0          1\n",
       "90   568  AEROD_v_3   16    FSDSC_3  0.00020         0.0          1\n",
       "91   772  AEROD_v_2   16   TREFHT_2  0.00020         0.0          1\n",
       "92   466  AEROD_v_3   46    FSDSC_2  0.00020         0.0          1\n",
       "93   928   TREFHT_3   16   TREFHT_3  0.00019         0.0          1\n",
       "94   773  AEROD_v_2   21   TREFHT_2  0.00019         0.0          1\n",
       "95   762  AEROD_v_1   26   TREFHT_2  0.00019         0.0          1\n",
       "96   966    FSDSC_3   26   TREFHT_3  0.00019         0.0          1\n",
       "97   934   TREFHT_3   46   TREFHT_3  0.00019         0.0          1\n",
       "98   386   TREFHT_3    6    FSDSC_1  0.00018         0.0          1\n",
       "99   843    FSDSC_2   11   TREFHT_2  0.00018         0.0          1\n",
       "100  931   TREFHT_3   31   TREFHT_3  0.00018         0.0          1\n",
       "101  922   TREFHT_2   46   TREFHT_3  0.00018         0.0          1\n",
       "102  626    FSDSC_2    6    FSDSC_3  0.00017         0.0          1\n",
       "103  594   TREFHT_2   26    FSDSC_3  0.00017         0.0          1\n",
       "104  810   TREFHT_2   26   TREFHT_2  0.00017         0.0          1\n",
       "105  358  AEROD_v_3   46    FSDSC_1  0.00017         0.0          1\n",
       "106  850    FSDSC_2   46   TREFHT_2  0.00017         0.0          1\n",
       "107  804   TREFHT_1   56   TREFHT_2  0.00017         0.0          1\n",
       "108  938    FSDSC_1    6   TREFHT_3  0.00016         0.0          1\n",
       "109  771  AEROD_v_2   11   TREFHT_2  0.00016         0.0          1\n",
       "110  855    FSDSC_3   11   TREFHT_2  0.00016         0.0          1\n",
       "111  857    FSDSC_3   21   TREFHT_2  0.00016         0.0          1\n",
       "112  846    FSDSC_2   26   TREFHT_2  0.00016         0.0          1\n",
       "113  947    FSDSC_1   51   TREFHT_3  0.00016         0.0          1\n",
       "114  784  AEROD_v_3   16   TREFHT_2  0.00015         0.0          1\n",
       "115  642    FSDSC_3   26    FSDSC_3  0.00015         0.0          1\n",
       "116  740    FSDSC_2   36   TREFHT_1  0.00015         0.0          1\n",
       "117  812   TREFHT_2   36   TREFHT_2  0.00015         0.0          1\n",
       "118  825   TREFHT_3   41   TREFHT_2  0.00015         0.0          1\n",
       "119  706   TREFHT_2   46   TREFHT_1  0.00015         0.0          1\n",
       "120  565  AEROD_v_3    1    FSDSC_3  0.00014         0.0          1\n",
       "121  327  AEROD_v_1   11    FSDSC_1  0.00014         0.0          1\n",
       "122  747    FSDSC_3   11   TREFHT_1  0.00014         0.0          1\n",
       "123  329  AEROD_v_1   21    FSDSC_1  0.00014         0.0          1\n",
       "124  377   TREFHT_2   21    FSDSC_1  0.00014         0.0          1\n",
       "125  727    FSDSC_1   31   TREFHT_1  0.00014         0.0          1\n",
       "126  764  AEROD_v_1   36   TREFHT_2  0.00014         0.0          1\n",
       "127  836    FSDSC_1   36   TREFHT_2  0.00014         0.0          1\n",
       "128  933   TREFHT_3   41   TREFHT_3  0.00014         0.0          1\n",
       "129  334  AEROD_v_1   46    FSDSC_1  0.00014         0.0          1\n",
       "130  742    FSDSC_2   46   TREFHT_1  0.00014         0.0          1\n",
       "131  889  AEROD_v_3    1   TREFHT_3  0.00013         0.0          1\n",
       "132  711   TREFHT_3   11   TREFHT_1  0.00013         0.0          1\n",
       "133  915   TREFHT_2   11   TREFHT_3  0.00013         0.0          1\n",
       "134  785  AEROD_v_3   21   TREFHT_2  0.00013         0.0          1\n",
       "135  905   TREFHT_1   21   TREFHT_3  0.00013         0.0          1\n",
       "136  881  AEROD_v_2   21   TREFHT_3  0.00013         0.0          1\n",
       "137  486   TREFHT_2   26    FSDSC_2  0.00013         0.0          1\n",
       "138  703   TREFHT_2   31   TREFHT_1  0.00013         0.0          1\n",
       "139  705   TREFHT_2   41   TREFHT_1  0.00013         0.0          1\n",
       "140  779  AEROD_v_2   51   TREFHT_2  0.00013         0.0          1\n",
       "141  876  AEROD_v_1   56   TREFHT_3  0.00013         0.0          1\n",
       "142  830    FSDSC_1    6   TREFHT_2  0.00012         0.0          1\n",
       "143  758  AEROD_v_1    6   TREFHT_2  0.00012         0.0          1\n",
       "144  795   TREFHT_1   11   TREFHT_2  0.00012         0.0          1\n",
       "145  759  AEROD_v_1   11   TREFHT_2  0.00012         0.0          1\n",
       "146  927   TREFHT_3   11   TREFHT_3  0.00012         0.0          1\n",
       "147  448  AEROD_v_2   16    FSDSC_2  0.00012         0.0          1\n",
       "148  954    FSDSC_2   26   TREFHT_3  0.00012         0.0          1\n",
       "149  608   TREFHT_3   36    FSDSC_3  0.00012         0.0          1\n",
       "150  728    FSDSC_1   36   TREFHT_1  0.00012         0.0          1\n",
       "151  956    FSDSC_2   36   TREFHT_3  0.00012         0.0          1\n",
       "152  921   TREFHT_2   41   TREFHT_3  0.00012         0.0          1\n",
       "153  802   TREFHT_1   46   TREFHT_2  0.00012         0.0          1\n",
       "154  359  AEROD_v_3   51    FSDSC_1  0.00012         0.0          1\n",
       "155  935   TREFHT_3   51   TREFHT_3  0.00012         0.0          1\n",
       "156  720   TREFHT_3   56   TREFHT_1  0.00012         0.0          1\n",
       "157  816   TREFHT_2   56   TREFHT_2  0.00012         0.0          1\n",
       "158  638    FSDSC_3    6    FSDSC_3  0.00011         0.0          1\n",
       "159  484   TREFHT_2   16    FSDSC_2  0.00011         0.0          1\n",
       "160  341  AEROD_v_2   21    FSDSC_1  0.00011         0.0          1\n",
       "161  581   TREFHT_1   21    FSDSC_3  0.00011         0.0          1\n",
       "162  749    FSDSC_3   21   TREFHT_1  0.00011         0.0          1\n",
       "163  344  AEROD_v_2   36    FSDSC_1  0.00011         0.0          1\n",
       "164  560  AEROD_v_2   36    FSDSC_3  0.00011         0.0          1\n",
       "165  969    FSDSC_3   41   TREFHT_3  0.00011         0.0          1\n",
       "166  682  AEROD_v_3   46   TREFHT_1  0.00011         0.0          1\n",
       "167  227  AEROD_v_1   51  AEROD_v_3  0.00011         0.0          1\n",
       "168  707   TREFHT_2   51   TREFHT_1  0.00011         0.0          1\n",
       "169  660  AEROD_v_1   56   TREFHT_1  0.00011         0.0          1\n",
       "170  708   TREFHT_2   56   TREFHT_1  0.00011         0.0          1\n",
       "171  972    FSDSC_3   56   TREFHT_3  0.00011         0.0          1\n",
       "172  949    FSDSC_2    1   TREFHT_3  0.00010         0.0          1\n",
       "173  961    FSDSC_3    1   TREFHT_3  0.00010         0.0          1\n",
       "174  363   TREFHT_1   11    FSDSC_1  0.00010         0.0          1\n",
       "175  663  AEROD_v_2   11   TREFHT_1  0.00010         0.0          1\n",
       "176  340  AEROD_v_2   16    FSDSC_1  0.00010         0.0          1\n",
       "177  328  AEROD_v_1   16    FSDSC_1  0.00010         0.0          1\n",
       "178  520    FSDSC_2   16    FSDSC_2  0.00010         0.0          1\n",
       "179  666  AEROD_v_2   26   TREFHT_1  0.00010         0.0          1\n",
       "180  885  AEROD_v_2   41   TREFHT_3  0.00010         0.0          1\n",
       "181  478   TREFHT_1   46    FSDSC_2  0.00010         0.0          1\n",
       "182  646    FSDSC_3   46    FSDSC_3  0.00010         0.0          1\n",
       "183  670  AEROD_v_2   46   TREFHT_1  0.00010         0.0          1\n",
       "184  659  AEROD_v_1   51   TREFHT_1  0.00010         0.0          1\n",
       "185  767  AEROD_v_1   51   TREFHT_2  0.00010         0.0          1\n",
       "186  733    FSDSC_2    1   TREFHT_1  0.00009         0.0          1\n",
       "187  913   TREFHT_2    1   TREFHT_3  0.00009         0.0          1\n",
       "188  556  AEROD_v_2   16    FSDSC_3  0.00009         0.0          1\n",
       "189   90    FSDSC_2   26  AEROD_v_1  0.00009         0.0          1\n",
       "190  678  AEROD_v_3   26   TREFHT_1  0.00009         0.0          1\n",
       "191  726    FSDSC_1   26   TREFHT_1  0.00009         0.0          1\n",
       "192  702   TREFHT_2   26   TREFHT_1  0.00009         0.0          1\n",
       "193  858    FSDSC_3   26   TREFHT_2  0.00009         0.0          1\n",
       "194  571  AEROD_v_3   31    FSDSC_3  0.00009         0.0          1\n",
       "195  715   TREFHT_3   31   TREFHT_1  0.00009         0.0          1\n",
       "196  919   TREFHT_2   31   TREFHT_3  0.00009         0.0          1\n",
       "197  716   TREFHT_3   36   TREFHT_1  0.00009         0.0          1\n",
       "198  407    FSDSC_1   51    FSDSC_1  0.00009         0.0          1\n",
       "199  971    FSDSC_3   51   TREFHT_3  0.00009         0.0          1\n",
       "200  636    FSDSC_2   56    FSDSC_3  0.00009         0.0          1\n",
       "201  361   TREFHT_1    1    FSDSC_1  0.00008         0.0          1\n",
       "202  902   TREFHT_1    6   TREFHT_3  0.00008         0.0          1\n",
       "203  735    FSDSC_2   11   TREFHT_1  0.00008         0.0          1\n",
       "204  903   TREFHT_1   11   TREFHT_3  0.00008         0.0          1\n",
       "205  820   TREFHT_3   16   TREFHT_2  0.00008         0.0          1\n",
       "206  401    FSDSC_1   21    FSDSC_1  0.00008         0.0          1\n",
       "207  593   TREFHT_2   21    FSDSC_3  0.00008         0.0          1\n",
       "208  378   TREFHT_2   26    FSDSC_1  0.00008         0.0          1\n",
       "209  606   TREFHT_3   26    FSDSC_3  0.00008         0.0          1\n",
       "210  738    FSDSC_2   26   TREFHT_1  0.00008         0.0          1\n",
       "211  882  AEROD_v_2   26   TREFHT_3  0.00008         0.0          1\n",
       "212  391   TREFHT_3   31    FSDSC_1  0.00008         0.0          1\n",
       "213  679  AEROD_v_3   31   TREFHT_1  0.00008         0.0          1\n",
       "214  943    FSDSC_1   31   TREFHT_3  0.00008         0.0          1\n",
       "215  883  AEROD_v_2   31   TREFHT_3  0.00008         0.0          1\n",
       "216  887  AEROD_v_2   51   TREFHT_3  0.00008         0.0          1\n",
       "217  959    FSDSC_2   51   TREFHT_3  0.00008         0.0          1\n",
       "218  744    FSDSC_2   56   TREFHT_1  0.00008         0.0          1\n",
       "219  661  AEROD_v_2    1   TREFHT_1  0.00007         0.0          1\n",
       "220  614    FSDSC_1    6    FSDSC_3  0.00007         0.0          1\n",
       "221  842    FSDSC_2    6   TREFHT_2  0.00007         0.0          1\n",
       "222  939    FSDSC_1   11   TREFHT_3  0.00007         0.0          1\n",
       "223  376   TREFHT_2   16    FSDSC_1  0.00007         0.0          1\n",
       "224  496   TREFHT_3   16    FSDSC_2  0.00007         0.0          1\n",
       "225  628    FSDSC_2   16    FSDSC_3  0.00007         0.0          1\n",
       "226  952    FSDSC_2   16   TREFHT_3  0.00007         0.0          1\n",
       "227  665  AEROD_v_2   21   TREFHT_1  0.00007         0.0          1\n",
       "228  798   TREFHT_1   26   TREFHT_2  0.00007         0.0          1\n",
       "229  774  AEROD_v_2   26   TREFHT_2  0.00007         0.0          1\n",
       "230  392   TREFHT_3   36    FSDSC_1  0.00007         0.0          1\n",
       "231  752    FSDSC_3   36   TREFHT_1  0.00007         0.0          1\n",
       "232  824   TREFHT_3   36   TREFHT_2  0.00007         0.0          1\n",
       "233  357  AEROD_v_3   41    FSDSC_1  0.00007         0.0          1\n",
       "234  873  AEROD_v_1   41   TREFHT_3  0.00007         0.0          1\n",
       "235  346  AEROD_v_2   46    FSDSC_1  0.00007         0.0          1\n",
       "236  490   TREFHT_2   46    FSDSC_2  0.00007         0.0          1\n",
       "237  467  AEROD_v_3   51    FSDSC_2  0.00007         0.0          1\n",
       "238  792  AEROD_v_3   56   TREFHT_2  0.00007         0.0          1\n",
       "239  924   TREFHT_2   56   TREFHT_3  0.00007         0.0          1\n",
       "240  373   TREFHT_2    1    FSDSC_1  0.00006         0.0          1\n",
       "241  421    FSDSC_3    1    FSDSC_1  0.00006         0.0          1\n",
       "242  457  AEROD_v_3    1    FSDSC_2  0.00006         0.0          1\n",
       "243  362   TREFHT_1    6    FSDSC_1  0.00006         0.0          1\n",
       "244  746    FSDSC_3    6   TREFHT_1  0.00006         0.0          1\n",
       "245  710   TREFHT_3    6   TREFHT_1  0.00006         0.0          1\n",
       "246  592   TREFHT_2   16    FSDSC_3  0.00006         0.0          1\n",
       "247  485   TREFHT_2   21    FSDSC_2  0.00006         0.0          1\n",
       "248  342  AEROD_v_2   26    FSDSC_1  0.00006         0.0          1\n",
       "249  870  AEROD_v_1   26   TREFHT_3  0.00006         0.0          1\n",
       "250  691   TREFHT_1   31   TREFHT_1  0.00006         0.0          1\n",
       "251  704   TREFHT_2   36   TREFHT_1  0.00006         0.0          1\n",
       "252  788  AEROD_v_3   36   TREFHT_2  0.00006         0.0          1\n",
       "253  333  AEROD_v_1   41    FSDSC_1  0.00006         0.0          1\n",
       "254  238  AEROD_v_2   46  AEROD_v_3  0.00006         0.0          1\n",
       "255  574  AEROD_v_3   46    FSDSC_3  0.00006         0.0          1\n",
       "256  694   TREFHT_1   46   TREFHT_1  0.00006         0.0          1\n",
       "257  431    FSDSC_3   51    FSDSC_1  0.00006         0.0          1\n",
       "258  647    FSDSC_3   51    FSDSC_3  0.00006         0.0          1\n",
       "259  360  AEROD_v_3   56    FSDSC_1  0.00006         0.0          1\n",
       "260   13  AEROD_v_2    1  AEROD_v_1  0.00005         0.0          1\n",
       "261  337  AEROD_v_2    1    FSDSC_1  0.00005         0.0          1\n",
       "262  469   TREFHT_1    1    FSDSC_2  0.00005         0.0          1\n",
       "263  781  AEROD_v_3    1   TREFHT_2  0.00005         0.0          1\n",
       "264  111  AEROD_v_1   11  AEROD_v_2  0.00005         0.0          1\n",
       "265  400    FSDSC_1   16    FSDSC_1  0.00005         0.0          1\n",
       "266  724    FSDSC_1   16   TREFHT_1  0.00005         0.0          1\n",
       "267  748    FSDSC_3   16   TREFHT_1  0.00005         0.0          1\n",
       "268  365   TREFHT_1   21    FSDSC_1  0.00005         0.0          1\n",
       "269  701   TREFHT_2   21   TREFHT_1  0.00005         0.0          1\n",
       "270  404    FSDSC_1   36    FSDSC_1  0.00005         0.0          1\n",
       "271  416    FSDSC_2   36    FSDSC_1  0.00005         0.0          1\n",
       "272  428    FSDSC_3   36    FSDSC_1  0.00005         0.0          1\n",
       "273  393   TREFHT_3   41    FSDSC_1  0.00005         0.0          1\n",
       "274  345  AEROD_v_2   41    FSDSC_1  0.00005         0.0          1\n",
       "275  718   TREFHT_3   46   TREFHT_1  0.00005         0.0          1\n",
       "276  754    FSDSC_3   46   TREFHT_1  0.00005         0.0          1\n",
       "277  335  AEROD_v_1   51    FSDSC_1  0.00005         0.0          1\n",
       "278  347  AEROD_v_2   51    FSDSC_1  0.00005         0.0          1\n",
       "279  695   TREFHT_1   51   TREFHT_1  0.00005         0.0          1\n",
       "280  791  AEROD_v_3   51   TREFHT_2  0.00005         0.0          1\n",
       "281  372   TREFHT_1   56    FSDSC_1  0.00005         0.0          1\n",
       "282  336  AEROD_v_1   56    FSDSC_1  0.00005         0.0          1\n",
       "283  864    FSDSC_3   56   TREFHT_2  0.00005         0.0          1\n",
       "284  385   TREFHT_3    1    FSDSC_1  0.00004         0.0          1\n",
       "285  829    FSDSC_1    1   TREFHT_2  0.00004         0.0          1\n",
       "286  230  AEROD_v_2    6  AEROD_v_3  0.00004         0.0          1\n",
       "287  410    FSDSC_2    6    FSDSC_1  0.00004         0.0          1\n",
       "288  677  AEROD_v_3   21   TREFHT_1  0.00004         0.0          1\n",
       "289  510    FSDSC_1   26    FSDSC_2  0.00004         0.0          1\n",
       "290  631    FSDSC_2   31    FSDSC_3  0.00004         0.0          1\n",
       "291  667  AEROD_v_2   31   TREFHT_1  0.00004         0.0          1\n",
       "292  775  AEROD_v_2   31   TREFHT_2  0.00004         0.0          1\n",
       "293  405    FSDSC_1   41    FSDSC_1  0.00004         0.0          1\n",
       "294  370   TREFHT_1   46    FSDSC_1  0.00004         0.0          1\n",
       "295  430    FSDSC_3   46    FSDSC_1  0.00004         0.0          1\n",
       "296  562  AEROD_v_2   46    FSDSC_3  0.00004         0.0          1\n",
       "297  396   TREFHT_3   56    FSDSC_1  0.00004         0.0          1\n",
       "298  648    FSDSC_3   56    FSDSC_3  0.00004         0.0          1\n",
       "299  684  AEROD_v_3   56   TREFHT_1  0.00004         0.0          1\n",
       "300  277   TREFHT_3    1  AEROD_v_3  0.00003         0.0          1\n",
       "301  325  AEROD_v_1    1    FSDSC_1  0.00003         0.0          1\n",
       "302  721    FSDSC_1    1   TREFHT_1  0.00003         0.0          1\n",
       "303  350  AEROD_v_3    6    FSDSC_1  0.00003         0.0          1\n",
       "304  734    FSDSC_2    6   TREFHT_1  0.00003         0.0          1\n",
       "305  339  AEROD_v_2   11    FSDSC_1  0.00003         0.0          1\n",
       "306  736    FSDSC_2   16   TREFHT_1  0.00003         0.0          1\n",
       "307  473   TREFHT_1   21    FSDSC_2  0.00003         0.0          1\n",
       "308  235  AEROD_v_2   31  AEROD_v_3  0.00003         0.0          1\n",
       "309  409    FSDSC_2    1    FSDSC_1  0.00002         0.0          1\n",
       "310   74    FSDSC_1    6  AEROD_v_1  0.00002         0.0          1\n",
       "311  326  AEROD_v_1    6    FSDSC_1  0.00002         0.0          1\n",
       "312  722    FSDSC_1    6   TREFHT_1  0.00002         0.0          1\n",
       "313  387   TREFHT_3   11    FSDSC_1  0.00002         0.0          1\n",
       "314  544  AEROD_v_1   16    FSDSC_3  0.00002         0.0          1\n",
       "315  414    FSDSC_2   26    FSDSC_1  0.00002         0.0          1\n",
       "316  968    FSDSC_3   36   TREFHT_3  0.00002         0.0          1\n",
       "317  322    FSDSC_3   46  AEROD_v_3  0.00002         0.0          1\n",
       "318  382   TREFHT_2   46    FSDSC_1  0.00002         0.0          1\n",
       "319  264   TREFHT_1   56  AEROD_v_3  0.00002         0.0          1\n",
       "320  432    FSDSC_3   56    FSDSC_1  0.00002         0.0          1\n",
       "321  217  AEROD_v_1    1  AEROD_v_3  0.00001         0.0          1\n",
       "322  265   TREFHT_2    1  AEROD_v_3  0.00001         0.0          1\n",
       "323  349  AEROD_v_3    1    FSDSC_1  0.00001         0.0          1\n",
       "324  278   TREFHT_3    6  AEROD_v_3  0.00001         0.0          1\n",
       "325  303    FSDSC_2   11  AEROD_v_3  0.00001         0.0          1\n",
       "326  351  AEROD_v_3   11    FSDSC_1  0.00001         0.0          1\n",
       "327  375   TREFHT_2   11    FSDSC_1  0.00001         0.0          1\n",
       "328  304    FSDSC_2   16  AEROD_v_3  0.00001         0.0          1\n",
       "329  292    FSDSC_1   16  AEROD_v_3  0.00001         0.0          1\n",
       "330  316    FSDSC_3   16  AEROD_v_3  0.00001         0.0          1\n",
       "331  364   TREFHT_1   16    FSDSC_1  0.00001         0.0          1\n",
       "332  269   TREFHT_2   21  AEROD_v_3  0.00001         0.0          1\n",
       "333  294    FSDSC_1   26  AEROD_v_3  0.00001         0.0          1\n",
       "334  258   TREFHT_1   26  AEROD_v_3  0.00001         0.0          1\n",
       "335  234  AEROD_v_2   26  AEROD_v_3  0.00001         0.0          1\n",
       "336  222  AEROD_v_1   26  AEROD_v_3  0.00001         0.0          1\n",
       "337  546  AEROD_v_1   26    FSDSC_3  0.00001         0.0          1\n",
       "338  248  AEROD_v_3   36  AEROD_v_3  0.00001         0.0          1\n",
       "339  380   TREFHT_2   36    FSDSC_1  0.00001         0.0          1\n",
       "340  262   TREFHT_1   46  AEROD_v_3  0.00001         0.0          1\n",
       "341  226  AEROD_v_1   46  AEROD_v_3  0.00001         0.0          1"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#####\n",
    "# AVG edges and CONSOLIDATE dfs\n",
    "#####\n",
    "\n",
    "from RFR import avgENSedges\n",
    "\n",
    "df = avgENSedges(ENS_dfs,members)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from RFR import plotGraphNetwork\n",
    "from RFR import bestLag\n",
    "\n",
    "# plotGraphNetwork(bestLag(df),img_dir+\"Connected_Fully.png\",edge_cmap=plt.cm.coolwarm)\n",
    "plotGraphNetwork(bestLag(df.loc[df['Target'] != df['source']]),\n",
    "                 img_dir+\"Connected_Fully.png\",edge_cmap=plt.cm.coolwarm)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>source</th>\n",
       "      <th>lag</th>\n",
       "      <th>Target</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Std_Weight</th>\n",
       "      <th>Non_zeros</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>805</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.23487</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>685</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.17388</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>517</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.16816</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>925</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.16177</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>637</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.15844</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>121</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>0.15259</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>0.14800</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>397</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.04876</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>241</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.03656</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>683</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00758</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>529</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00695</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>948</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00414</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>500</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>36</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00156</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>625</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00150</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>778</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>46</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00131</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>725</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00117</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>827</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00116</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>891</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00112</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>761</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00095</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>573</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>41</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00094</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>743</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00085</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>920</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00075</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>109</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>0.00045</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>371</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>51</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>384</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>56</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00036</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>389</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>21</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00035</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>582</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>26</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00029</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>465</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>41</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00022</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>227</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>51</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      id     source  lag     Target   Weight  Std_Weight  Non_zeros\n",
       "0    805   TREFHT_2    1   TREFHT_2  0.23487         0.0          1\n",
       "1    685   TREFHT_1    1   TREFHT_1  0.17388         0.0          1\n",
       "2    517    FSDSC_2    1    FSDSC_2  0.16816         0.0          1\n",
       "3    925   TREFHT_3    1   TREFHT_3  0.16177         0.0          1\n",
       "4    637    FSDSC_3    1    FSDSC_3  0.15844         0.0          1\n",
       "5    121  AEROD_v_2    1  AEROD_v_2  0.15259         0.0          1\n",
       "6      1  AEROD_v_1    1  AEROD_v_1  0.14800         0.0          1\n",
       "7    397    FSDSC_1    1    FSDSC_1  0.04876         0.0          1\n",
       "8    241  AEROD_v_3    1  AEROD_v_3  0.03656         0.0          1\n",
       "9    683  AEROD_v_3   51   TREFHT_1  0.00758         0.0          1\n",
       "10   529    FSDSC_3    1    FSDSC_2  0.00695         0.0          1\n",
       "11   948    FSDSC_1   56   TREFHT_3  0.00414         0.0          1\n",
       "12   500   TREFHT_3   36    FSDSC_2  0.00156         0.0          1\n",
       "13   625    FSDSC_2    1    FSDSC_3  0.00150         0.0          1\n",
       "15   778  AEROD_v_2   46   TREFHT_2  0.00131         0.0          1\n",
       "16   725    FSDSC_1   21   TREFHT_1  0.00117         0.0          1\n",
       "17   827   TREFHT_3   51   TREFHT_2  0.00116         0.0          1\n",
       "18   891  AEROD_v_3   11   TREFHT_3  0.00112         0.0          1\n",
       "19   761  AEROD_v_1   21   TREFHT_2  0.00095         0.0          1\n",
       "20   573  AEROD_v_3   41    FSDSC_3  0.00094         0.0          1\n",
       "23   743    FSDSC_2   51   TREFHT_1  0.00085         0.0          1\n",
       "26   920   TREFHT_2   36   TREFHT_3  0.00075         0.0          1\n",
       "35   109  AEROD_v_1    1  AEROD_v_2  0.00045         0.0          1\n",
       "43   371   TREFHT_1   51    FSDSC_1  0.00037         0.0          1\n",
       "44   384   TREFHT_2   56    FSDSC_1  0.00036         0.0          1\n",
       "45   389   TREFHT_3   21    FSDSC_1  0.00035         0.0          1\n",
       "63   582   TREFHT_1   26    FSDSC_3  0.00029         0.0          1\n",
       "79   465  AEROD_v_3   41    FSDSC_2  0.00022         0.0          1\n",
       "167  227  AEROD_v_1   51  AEROD_v_3  0.00011         0.0          1"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from RFR import pruneEdges\n",
    "from RFR import pruneIncomingEdges\n",
    "\n",
    "# df_pruned = pruneEdges(bestLag(df),percentile=top_percentile)\n",
    "df_pruned = pruneIncomingEdges(bestLag(df),top=incoming_edges,minVal=minEdgeValue)\n",
    "df_pruned"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "ens1\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AEROD_v_1 0.977\n",
      "AEROD_v_2 0.978\n",
      "AEROD_v_3 0.954\n",
      "FSDSC_1 0.702\n",
      "FSDSC_2 0.89\n",
      "FSDSC_3 0.901\n",
      "TREFHT_1 0.813\n",
      "TREFHT_2 0.737\n",
      "TREFHT_3 0.748\n"
     ]
    }
   ],
   "source": [
    "\n",
    "## RUN WITH ONLY GOOD EDGES\n",
    "\n",
    "from RFR import dfToMap\n",
    "MAP = dfToMap(df_pruned)\n",
    "\n",
    "pruned_ENS_dfs = {}\n",
    "pruned_ENS_results = {}\n",
    "pruned_ENS_r2scores = {}\n",
    "\n",
    "for member in members:\n",
    "    print()\n",
    "    print(member)\n",
    "    Temp_MAP = {}\n",
    "    for key,value in MAP.items():\n",
    "        t_key = key.replace(\"ensAVG\",member)\n",
    "        t_value = []\n",
    "        for v in value:\n",
    "            t_value.append( (v[0].replace(\"ensAVG\",member),v[1]) )\n",
    "        Temp_MAP[t_key] = t_value\n",
    "    pruned_ENS_dfs[member],pruned_ENS_results[member],pruned_ENS_r2scores[member] = run(ENS_DATA[member],\n",
    "                                                                                      Temp_MAP,\n",
    "                                                                                      models=True\n",
    "                                                                                     )\n",
    "    for key,value in pruned_ENS_r2scores[member].items():\n",
    "        print(key,value)\n",
    "\n",
    "df_pruned = avgENSedges(pruned_ENS_dfs,members)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ENS mean and std of r2 scores\n",
      "ROD_v_1 0.977 0.0\n",
      "ROD_v_2 0.978 0.0\n",
      "ROD_v_3 0.954 0.0\n",
      "DSC_1 0.702 0.0\n",
      "DSC_2 0.89 0.0\n",
      "DSC_3 0.901 0.0\n",
      "EFHT_1 0.813 0.0\n",
      "EFHT_2 0.737 0.0\n",
      "EFHT_3 0.748 0.0\n"
     ]
    }
   ],
   "source": [
    "print(\"ENS mean and std of r2 scores\")\n",
    "avg_r2scores = {}\n",
    "for member,scores in pruned_ENS_r2scores.items():\n",
    "    for key,value in scores.items():\n",
    "        k = key.split(\"ens\")[-1][2:]\n",
    "        v = value #/ num_ENS\n",
    "        if k not in avg_r2scores:\n",
    "            avg_r2scores[k] = [v]\n",
    "        else:\n",
    "            avg_r2scores[k].append(v)\n",
    "\n",
    "for key,value in avg_r2scores.items():\n",
    "    print(key,round(np.mean(value),3),round(np.std(value),3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>source</th>\n",
       "      <th>lag</th>\n",
       "      <th>Target</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Std_Weight</th>\n",
       "      <th>Non_zeros</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>22</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.23487</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>0.17736</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.17317</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>0.17228</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.17032</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>26</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>1</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.16318</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>14</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.16174</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>6</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.04994</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.03680</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>19</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00749</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00704</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>1</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>0.00598</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>27</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>56</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00591</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>7</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>51</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00238</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>23</td>\n",
       "      <td>AEROD_v_2</td>\n",
       "      <td>46</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00229</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>12</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>36</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00226</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>20</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00225</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>29</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>36</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00211</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>28</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>11</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>0.00187</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>21</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>0.00159</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>25</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>21</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00158</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>15</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>1</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00131</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>24</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>51</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>0.00122</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>8</td>\n",
       "      <td>TREFHT_2</td>\n",
       "      <td>56</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00099</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>16</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>41</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00097</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>9</td>\n",
       "      <td>TREFHT_3</td>\n",
       "      <td>21</td>\n",
       "      <td>FSDSC_1</td>\n",
       "      <td>0.00067</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>13</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>41</td>\n",
       "      <td>FSDSC_2</td>\n",
       "      <td>0.00067</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>17</td>\n",
       "      <td>TREFHT_1</td>\n",
       "      <td>26</td>\n",
       "      <td>FSDSC_3</td>\n",
       "      <td>0.00033</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5</td>\n",
       "      <td>AEROD_v_1</td>\n",
       "      <td>51</td>\n",
       "      <td>AEROD_v_3</td>\n",
       "      <td>0.00003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    id     source  lag     Target   Weight  Std_Weight  Non_zeros\n",
       "0   22   TREFHT_2    1   TREFHT_2  0.23487         0.0          1\n",
       "1    2  AEROD_v_2    1  AEROD_v_2  0.17736         0.0          1\n",
       "2   18   TREFHT_1    1   TREFHT_1  0.17317         0.0          1\n",
       "3    1  AEROD_v_1    1  AEROD_v_1  0.17228         0.0          1\n",
       "4   10    FSDSC_2    1    FSDSC_2  0.17032         0.0          1\n",
       "5   26   TREFHT_3    1   TREFHT_3  0.16318         0.0          1\n",
       "6   14    FSDSC_3    1    FSDSC_3  0.16174         0.0          1\n",
       "7    6    FSDSC_1    1    FSDSC_1  0.04994         0.0          1\n",
       "8    4  AEROD_v_3    1  AEROD_v_3  0.03680         0.0          1\n",
       "9   19  AEROD_v_3   51   TREFHT_1  0.00749         0.0          1\n",
       "10  11    FSDSC_3    1    FSDSC_2  0.00704         0.0          1\n",
       "11   3  AEROD_v_1    1  AEROD_v_2  0.00598         0.0          1\n",
       "12  27    FSDSC_1   56   TREFHT_3  0.00591         0.0          1\n",
       "13   7   TREFHT_1   51    FSDSC_1  0.00238         0.0          1\n",
       "14  23  AEROD_v_2   46   TREFHT_2  0.00229         0.0          1\n",
       "15  12   TREFHT_3   36    FSDSC_2  0.00226         0.0          1\n",
       "16  20    FSDSC_1   21   TREFHT_1  0.00225         0.0          1\n",
       "17  29   TREFHT_2   36   TREFHT_3  0.00211         0.0          1\n",
       "18  28  AEROD_v_3   11   TREFHT_3  0.00187         0.0          1\n",
       "19  21    FSDSC_2   51   TREFHT_1  0.00159         0.0          1\n",
       "20  25  AEROD_v_1   21   TREFHT_2  0.00158         0.0          1\n",
       "21  15    FSDSC_2    1    FSDSC_3  0.00131         0.0          1\n",
       "22  24   TREFHT_3   51   TREFHT_2  0.00122         0.0          1\n",
       "23   8   TREFHT_2   56    FSDSC_1  0.00099         0.0          1\n",
       "24  16  AEROD_v_3   41    FSDSC_3  0.00097         0.0          1\n",
       "25   9   TREFHT_3   21    FSDSC_1  0.00067         0.0          1\n",
       "26  13  AEROD_v_3   41    FSDSC_2  0.00067         0.0          1\n",
       "27  17   TREFHT_1   26    FSDSC_3  0.00033         0.0          1\n",
       "28   5  AEROD_v_1   51  AEROD_v_3  0.00003         0.0          1"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pruned"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib as plt\n",
    "\n",
    "# plotGraphNetwork(df_pruned,img_dir+\"Connected_Pruned.png\",edge_cmap=plt.cm.coolwarm)\n",
    "plotGraphNetwork(df_pruned.loc[df_pruned['Target'] != df_pruned['source']],\n",
    "                 img_dir+\"Connected_Pruned.png\",edge_cmap=plt.cm.coolwarm)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/html": [
       "<div style=\"vertical-align: middle;\"><strong>coolwarm</strong> </div><div class=\"cmap\"><img alt=\"coolwarm colormap\" title=\"coolwarm\" style=\"border: 1px solid #555;\" src=\"data:image/png;base64,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\"></div><div style=\"vertical-align: middle; max-width: 514px; display: flex; justify-content: space-between;\"><div style=\"float: left;\"><div title=\"#3b4cc0ff\" style=\"display: inline-block; width: 1em; height: 1em; margin: 0; vertical-align: middle; border: 1px solid #555; background-color: #3b4cc0ff;\"></div> under</div><div style=\"margin: 0 auto; display: inline-block;\">bad <div title=\"#00000000\" style=\"display: inline-block; width: 1em; height: 1em; margin: 0; vertical-align: middle; border: 1px solid #555; background-color: #00000000;\"></div></div><div style=\"float: right;\">over <div title=\"#b40426ff\" style=\"display: inline-block; width: 1em; height: 1em; margin: 0; vertical-align: middle; border: 1px solid #555; background-color: #b40426ff;\"></div></div>"
      ],
      "text/plain": [
       "<matplotlib.colors.LinearSegmentedColormap at 0x15bb5d010>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.cm.coolwarm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "df_pruned.to_csv(\"DF_FILE.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}