src/tools/eval_runs.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:90% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:90% !important; }</style>\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import sys\n",
    "sys.path.extend(['../commons'])\n",
    "import dl_commons as dlc\n",
    "import pandas as pd\n",
    "import os\n",
    "import tensorflow as tf\n",
    "import matplotlib.pyplot as plt\n",
    "import viz_commons as viz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "width = None\n",
    "pd.options.display.max_rows = 600\n",
    "pd.options.display.max_columns = width\n",
    "pd.options.display.max_colwidth = 600\n",
    "pd.options.display.width = width\n",
    "pd.options.display.max_seq_items = None\n",
    "pd.options.display.expand_frame_repr = False\n",
    "pd.options.display.colheader_justify = 'left'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-16 18-51-38 PST pLambda=0_score_88.86/test_runs/step_00132200_score88.19_publish/store/hyper.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-21 02-20-10 PST 140K_score_89.0/test_runs/step_00168100_score89.0_publish/store/hyper.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09/test_runs/step_00167526_score89.0_publish/store/hyper.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-16 18-51-38 PST pLambda=0_score_88.86/test_runs/step_00132200_score88.19_publish/store/args.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-21 02-20-10 PST 140K_score_89.0/test_runs/step_00168100_score89.0_publish/store/args.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09/test_runs/step_00167526_score89.0_publish/store/args.pkl\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-16 18-51-38 PST pLambda=0_score_88.86/test_runs/step_00132200_score88.19_publish/events.out.tfevents.1515204218.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-16 18-51-38 PST pLambda=0_score_88.86/test_runs/step_00132200_score88.19_publish/events.out.tfevents.1515204463.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-21 02-20-10 PST 140K_score_89.0/test_runs/step_00168100_score89.0_publish/events.out.tfevents.1515198297.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-21 02-20-10 PST 140K_score_89.0/test_runs/step_00168100_score89.0_publish/events.out.tfevents.1515198624.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09/test_runs/step_00167526_score89.0_publish/events.out.tfevents.1515137200.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09/test_runs/step_00167526_score89.0_publish/events.out.tfevents.1515137493.DeepLearner\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: left;\">\n",
       "      <th></th>\n",
       "      <th>raw_data_dir</th>\n",
       "      <th>pLambda</th>\n",
       "      <th>build_init_model</th>\n",
       "      <th>REGROUP_IMAGE</th>\n",
       "      <th>adam_alpha</th>\n",
       "      <th>adam_beta1</th>\n",
       "      <th>adam_beta2</th>\n",
       "      <th>select_max@id%testing/top_1/bleu2</th>\n",
       "      <th>selected%testing/top_1/edit_distance</th>\n",
       "      <th>min@id%testing/top_1/edit_distance</th>\n",
       "      <th>max@id%testing/top_1/bleu</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>/zpool_3TB/i2l/tb_metrics/2017-12-16 18-51-38 PST pLambda=0_score_88.86/test_runs/step_00132200_score88.19_publish/</th>\n",
       "      <td>../data/dataset3/training_56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "      <td>[4, 1]</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.8819 @ 115675</td>\n",
       "      <td>0.0725 @ 115675</td>\n",
       "      <td>0.0725 @ 115675</td>\n",
       "      <td>0.8784 @ 115675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/zpool_3TB/i2l/tb_metrics/2017-12-21 02-20-10 PST 140K_score_89.0/test_runs/step_00168100_score89.0_publish/</th>\n",
       "      <td>../data/dataset5/training_56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "      <td>[4, 1]</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.8900 @ 147087</td>\n",
       "      <td>0.0671 @ 147087</td>\n",
       "      <td>0.0671 @ 147087</td>\n",
       "      <td>0.8865 @ 147087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09/test_runs/step_00167526_score89.0_publish/</th>\n",
       "      <td>../data/dataset5/training_56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.8900 @ 146585</td>\n",
       "      <td>0.0676 @ 146585</td>\n",
       "      <td>0.0676 @ 146585</td>\n",
       "      <td>0.8869 @ 146585</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                                       raw_data_dir                   pLambda  build_init_model REGROUP_IMAGE  adam_alpha  adam_beta1  adam_beta2 select_max@id%testing/top_1/bleu2 selected%testing/top_1/edit_distance min@id%testing/top_1/edit_distance max@id%testing/top_1/bleu\n",
       "/zpool_3TB/i2l/tb_metrics/2017-12-16 18-51-38 PST pLambda=0_score_88.86/test_runs/step_00132200_score88.19_publish/     ../data/dataset3/training_56  0.0      True              [4, 1]        0.0001      0.5         0.9         0.8819 @ 115675                   0.0725 @ 115675                      0.0725 @ 115675                    0.8784 @ 115675         \n",
       "/zpool_3TB/i2l/tb_metrics/2017-12-21 02-20-10 PST 140K_score_89.0/test_runs/step_00168100_score89.0_publish/            ../data/dataset5/training_56  0.0      True              [4, 1]        0.0001      0.5         0.9         0.8900 @ 147087                   0.0671 @ 147087                      0.0671 @ 147087                    0.8865 @ 147087         \n",
       "/zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09/test_runs/step_00167526_score89.0_publish/  ../data/dataset5/training_56  0.0      True                None        0.0001      0.5         0.9         0.8900 @ 146585                   0.0676 @ 146585                      0.0676 @ 146585                    0.8869 @ 146585         "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "runs_pub = (\n",
    "    '/zpool_3TB/i2l/tb_metrics/2017-12-16 18-51-38 PST pLambda=0_score_88.86/test_runs/step_00132200_score88.19_publish/',\n",
    "    '/zpool_3TB/i2l/tb_metrics/2017-12-21 02-20-10 PST 140K_score_89.0/test_runs/step_00168100_score89.0_publish/',\n",
    "    '/zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09/test_runs/step_00167526_score89.0_publish/'\n",
    ")\n",
    "runs_pub_eval = viz.EvalRuns(runs_pub, hyper_names=['raw_data_dir', 'pLambda', 'build_init_model', 'REGROUP_IMAGE', 'adam_alpha', 'adam_beta1', 'adam_beta2'], metric_names=['select_max@id%testing/.*/bleu2', 'selected%testing/.*/edit_distance', 'min@id%testing/.*/edit_distance', 'max@id%testing/.*/bleu$'])\n",
    "df_pub = runs_pub_eval.df\n",
    "df_pub"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-06 15-40-46 PST score_86.14/store/hyper.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-07 23-23-25 PST score_87.45/store/hyper.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-10 12-52-23 PST score_88.17/store/hyper.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-11 22-57-42 PST noInitModel_score_86.54/store/hyper.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-12 19-49-24 PST noInitModel_score_88.10/store/hyper.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-16 18-51-38 PST pLambda=0_score_88.86/store/hyper.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-21 02-20-10 PST 140K_score_89.0/store/hyper.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-23 22-02-35 PST 140K_noInitModel_score_88.74/store/hyper.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09/store/hyper.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-31 11-32-42 PST 140K_noRegroup_noInitModel_beta2=0.90_beta1=0.25_score88.05/00169865_beta2=0.90_beta1=0.1_score88.20/store/hyper.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-06 15-40-46 PST score_86.14/store/args.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-07 23-23-25 PST score_87.45/store/args.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-10 12-52-23 PST score_88.17/store/args.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-11 22-57-42 PST noInitModel_score_86.54/store/args.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-12 19-49-24 PST noInitModel_score_88.10/store/args.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-16 18-51-38 PST pLambda=0_score_88.86/store/args.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-21 02-20-10 PST 140K_score_89.0/store/args.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-23 22-02-35 PST 140K_noInitModel_score_88.74/store/args.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09/store/args.pkl\n",
      "Loaded /zpool_3TB/i2l/tb_metrics/2017-12-31 11-32-42 PST 140K_noRegroup_noInitModel_beta2=0.90_beta1=0.25_score88.05/00169865_beta2=0.90_beta1=0.1_score88.20/store/args.pkl\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-06 15-40-46 PST score_86.14/events.out.tfevents.1512603661.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-07 23-23-25 PST score_87.45/events.out.tfevents.1512717819.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-10 12-52-23 PST score_88.17/events.out.tfevents.1512939156.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-10 12-52-23 PST score_88.17/events.out.tfevents.1513380554.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-10 12-52-23 PST score_88.17/events.out.tfevents.1513407301.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-11 22-57-42 PST noInitModel_score_86.54/events.out.tfevents.1513061875.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-11 22-57-42 PST noInitModel_score_86.54/events.out.tfevents.1513104462.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-11 22-57-42 PST noInitModel_score_86.54/events.out.tfevents.1513119280.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-12 19-49-24 PST noInitModel_score_88.10/events.out.tfevents.1513136976.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-12 19-49-24 PST noInitModel_score_88.10/events.out.tfevents.1513186996.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-12 19-49-24 PST noInitModel_score_88.10/events.out.tfevents.1513191770.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-12 19-49-24 PST noInitModel_score_88.10/events.out.tfevents.1513233407.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-12 19-49-24 PST noInitModel_score_88.10/events.out.tfevents.1513317011.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-16 18-51-38 PST pLambda=0_score_88.86/events.out.tfevents.1513479111.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-16 18-51-38 PST pLambda=0_score_88.86/events.out.tfevents.1513545360.DeepLearner\n",
      "WARNING: corrupted record at 40988997\n",
      "\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-16 18-51-38 PST pLambda=0_score_88.86/events.out.tfevents.1513573378.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-21 02-20-10 PST 140K_score_89.0/events.out.tfevents.1513851626.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-23 22-02-35 PST 140K_noInitModel_score_88.74/events.out.tfevents.1514095371.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09/events.out.tfevents.1514264671.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09/events.out.tfevents.1514403018.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-31 11-32-42 PST 140K_noRegroup_noInitModel_beta2=0.90_beta1=0.25_score88.05/00169865_beta2=0.90_beta1=0.1_score88.20/events.out.tfevents.1514925761.DeepLearner\n"
     ]
    }
   ],
   "source": [
    "runs = (\n",
    "    '/zpool_3TB/i2l/tb_metrics/2017-12-06 15-40-46 PST score_86.14',\n",
    "    '/zpool_3TB/i2l/tb_metrics/2017-12-07 23-23-25 PST score_87.45',\n",
    "    '/zpool_3TB/i2l/tb_metrics/2017-12-10 12-52-23 PST score_88.17',\n",
    "    '/zpool_3TB/i2l/tb_metrics/2017-12-11 22-57-42 PST noInitModel_score_86.54',\n",
    "    '/zpool_3TB/i2l/tb_metrics/2017-12-12 19-49-24 PST noInitModel_score_88.10',\n",
    "    '/zpool_3TB/i2l/tb_metrics/2017-12-16 18-51-38 PST pLambda=0_score_88.86',\n",
    "    '/zpool_3TB/i2l/tb_metrics/2017-12-21 02-20-10 PST 140K_score_89.0',\n",
    "    '/zpool_3TB/i2l/tb_metrics/2017-12-23 22-02-35 PST 140K_noInitModel_score_88.74',\n",
    "    '/zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09',\n",
    "#     '/zpool_3TB/i2l/tb_metrics/2017-12-28 13-46-23 PST 140K_noRegroup_noInitModel_beta2=0.6_score85.96',\n",
    "    '/zpool_3TB/i2l/tb_metrics/2017-12-31 11-32-42 PST 140K_noRegroup_noInitModel_beta2=0.90_beta1=0.25_score88.05/00169865_beta2=0.90_beta1=0.1_score88.20'\n",
    ")\n",
    "runs = viz.EvalRuns(runs, hyper_names=['raw_data_dir', 'pLambda', 'build_init_model', 'REGROUP_IMAGE', 'adam_alpha', 'adam_beta1', 'adam_beta2'], metric_names=['max%u_step', 'select_max@id%validation/.*bleu2', 'selected%edit_distance', 'min@id%edit_distance', 'max@id%validation/.*bleu$'])\n",
    "df = runs.df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: left;\">\n",
       "      <th></th>\n",
       "      <th>raw_data_dir</th>\n",
       "      <th>pLambda</th>\n",
       "      <th>build_init_model</th>\n",
       "      <th>REGROUP_IMAGE</th>\n",
       "      <th>adam_alpha</th>\n",
       "      <th>adam_beta1</th>\n",
       "      <th>adam_beta2</th>\n",
       "      <th>max%u_step</th>\n",
       "      <th>select_max@id%validation/top_1/bleu2</th>\n",
       "      <th>selected%validation/top_1/edit_distance</th>\n",
       "      <th>min@id%validation/top_1/edit_distance</th>\n",
       "      <th>max@id%validation/top_1/bleu</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>/zpool_3TB/i2l/tb_metrics/2017-12-06 15-40-46 PST score_86.14</th>\n",
       "      <td>../data/dataset3/training_56/</td>\n",
       "      <td>0.0005</td>\n",
       "      <td>undefined</td>\n",
       "      <td>[4, 1]</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>undefined</td>\n",
       "      <td>undefined</td>\n",
       "      <td>127900</td>\n",
       "      <td>0.8614 @ 87150</td>\n",
       "      <td>0.0847 @ 87150</td>\n",
       "      <td>0.0846 @ 98700</td>\n",
       "      <td>0.8643 @ 87675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/zpool_3TB/i2l/tb_metrics/2017-12-07 23-23-25 PST score_87.45</th>\n",
       "      <td>../data/dataset3/training_56/</td>\n",
       "      <td>0.0005</td>\n",
       "      <td>True</td>\n",
       "      <td>[4, 1]</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>undefined</td>\n",
       "      <td>undefined</td>\n",
       "      <td>171500</td>\n",
       "      <td>0.8745 @ 129850</td>\n",
       "      <td>0.0744 @ 129850</td>\n",
       "      <td>0.0744 @ 129850</td>\n",
       "      <td>0.8757 @ 129850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/zpool_3TB/i2l/tb_metrics/2017-12-10 12-52-23 PST score_88.17</th>\n",
       "      <td>../data/dataset3/training_56/</td>\n",
       "      <td>0.0005</td>\n",
       "      <td>True</td>\n",
       "      <td>[4, 1]</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.9</td>\n",
       "      <td>145800</td>\n",
       "      <td>0.8817 @ 106925</td>\n",
       "      <td>0.0765 @ 106925</td>\n",
       "      <td>0.0730 @ 112525</td>\n",
       "      <td>0.8774 @ 112525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/zpool_3TB/i2l/tb_metrics/2017-12-11 22-57-42 PST noInitModel_score_86.54</th>\n",
       "      <td>../data/dataset3/training_56/</td>\n",
       "      <td>0.0005</td>\n",
       "      <td>False</td>\n",
       "      <td>[4, 1]</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.9</td>\n",
       "      <td>74531</td>\n",
       "      <td>0.8654 @ 63525</td>\n",
       "      <td>0.0818 @ 63525</td>\n",
       "      <td>0.0803 @ 58450</td>\n",
       "      <td>0.8664 @ 58450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/zpool_3TB/i2l/tb_metrics/2017-12-12 19-49-24 PST noInitModel_score_88.10</th>\n",
       "      <td>../data/dataset3/training_56/</td>\n",
       "      <td>0.0005</td>\n",
       "      <td>False</td>\n",
       "      <td>[4, 1]</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.9</td>\n",
       "      <td>243735</td>\n",
       "      <td>0.8810 @ 179812</td>\n",
       "      <td>0.0750 @ 179812</td>\n",
       "      <td>0.0738 @ 181212</td>\n",
       "      <td>0.8745 @ 181212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/zpool_3TB/i2l/tb_metrics/2017-12-16 18-51-38 PST pLambda=0_score_88.86</th>\n",
       "      <td>../data/dataset3/training_56</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>True</td>\n",
       "      <td>[4, 1]</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.9</td>\n",
       "      <td>165700</td>\n",
       "      <td>0.8886 @ 115675</td>\n",
       "      <td>0.0688 @ 115675</td>\n",
       "      <td>0.0687 @ 133875</td>\n",
       "      <td>0.8825 @ 133875</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                          raw_data_dir                    pLambda build_init_model REGROUP_IMAGE  adam_alpha adam_beta1 adam_beta2  max%u_step select_max@id%validation/top_1/bleu2 selected%validation/top_1/edit_distance min@id%validation/top_1/edit_distance max@id%validation/top_1/bleu\n",
       "/zpool_3TB/i2l/tb_metrics/2017-12-06 15-40-46 PST score_86.14              ../data/dataset3/training_56/  0.0005   undefined        [4, 1]        0.0001      undefined  undefined  127900       0.8614 @ 87150                       0.0847 @ 87150                          0.0846 @ 98700                        0.8643 @ 87675            \n",
       "/zpool_3TB/i2l/tb_metrics/2017-12-07 23-23-25 PST score_87.45              ../data/dataset3/training_56/  0.0005        True        [4, 1]        0.0001      undefined  undefined  171500      0.8745 @ 129850                      0.0744 @ 129850                         0.0744 @ 129850                       0.8757 @ 129850            \n",
       "/zpool_3TB/i2l/tb_metrics/2017-12-10 12-52-23 PST score_88.17              ../data/dataset3/training_56/  0.0005        True        [4, 1]        0.0001            0.5        0.9  145800      0.8817 @ 106925                      0.0765 @ 106925                         0.0730 @ 112525                       0.8774 @ 112525            \n",
       "/zpool_3TB/i2l/tb_metrics/2017-12-11 22-57-42 PST noInitModel_score_86.54  ../data/dataset3/training_56/  0.0005       False        [4, 1]        0.0001            0.5        0.9   74531       0.8654 @ 63525                       0.0818 @ 63525                          0.0803 @ 58450                        0.8664 @ 58450            \n",
       "/zpool_3TB/i2l/tb_metrics/2017-12-12 19-49-24 PST noInitModel_score_88.10  ../data/dataset3/training_56/  0.0005       False        [4, 1]        0.0001            0.5        0.9  243735      0.8810 @ 179812                      0.0750 @ 179812                         0.0738 @ 181212                       0.8745 @ 181212            \n",
       "/zpool_3TB/i2l/tb_metrics/2017-12-16 18-51-38 PST pLambda=0_score_88.86     ../data/dataset3/training_56  0.0000        True        [4, 1]        0.0001            0.5        0.9  165700      0.8886 @ 115675                      0.0688 @ 115675                         0.0687 @ 133875                       0.8825 @ 133875            "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.raw_data_dir.str.contains('dataset3')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: left;\">\n",
       "      <th></th>\n",
       "      <th>raw_data_dir</th>\n",
       "      <th>pLambda</th>\n",
       "      <th>build_init_model</th>\n",
       "      <th>REGROUP_IMAGE</th>\n",
       "      <th>adam_alpha</th>\n",
       "      <th>adam_beta1</th>\n",
       "      <th>adam_beta2</th>\n",
       "      <th>max%u_step</th>\n",
       "      <th>select_max@id%validation/top_1/bleu2</th>\n",
       "      <th>selected%validation/top_1/edit_distance</th>\n",
       "      <th>min@id%validation/top_1/edit_distance</th>\n",
       "      <th>max@id%validation/top_1/bleu</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>/zpool_3TB/i2l/tb_metrics/2017-12-21 02-20-10 PST 140K_score_89.0</th>\n",
       "      <td>../data/dataset5/training_56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "      <td>[4, 1]</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.9</td>\n",
       "      <td>213000</td>\n",
       "      <td>0.8900 @ 147087</td>\n",
       "      <td>0.0677 @ 147087</td>\n",
       "      <td>0.0669 @ 139737</td>\n",
       "      <td>0.8868 @ 177187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/zpool_3TB/i2l/tb_metrics/2017-12-23 22-02-35 PST 140K_noInitModel_score_88.74</th>\n",
       "      <td>../data/dataset5/training_56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>[4, 1]</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.9</td>\n",
       "      <td>153224</td>\n",
       "      <td>0.8874 @ 126921</td>\n",
       "      <td>0.0691 @ 126921</td>\n",
       "      <td>0.0689 @ 123346</td>\n",
       "      <td>0.8834 @ 126921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09</th>\n",
       "      <td>../data/dataset5/training_56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.9</td>\n",
       "      <td>213965</td>\n",
       "      <td>0.8909 @ 146585</td>\n",
       "      <td>0.0684 @ 146585</td>\n",
       "      <td>0.0675 @ 126921</td>\n",
       "      <td>0.8867 @ 166249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/zpool_3TB/i2l/tb_metrics/2017-12-31 11-32-42 PST 140K_noRegroup_noInitModel_beta2=0.90_beta1=0.25_score88.05/00169865_beta2=0.90_beta1=0.1_score88.20</th>\n",
       "      <td>../data/dataset5/training_56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.9</td>\n",
       "      <td>242500</td>\n",
       "      <td>0.8820 @ 188300</td>\n",
       "      <td>0.0738 @ 188300</td>\n",
       "      <td>0.0726 @ 152687</td>\n",
       "      <td>0.8783 @ 152687</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                                                                       raw_data_dir                   pLambda build_init_model REGROUP_IMAGE  adam_alpha adam_beta1 adam_beta2  max%u_step select_max@id%validation/top_1/bleu2 selected%validation/top_1/edit_distance min@id%validation/top_1/edit_distance max@id%validation/top_1/bleu\n",
       "/zpool_3TB/i2l/tb_metrics/2017-12-21 02-20-10 PST 140K_score_89.0                                                                                       ../data/dataset5/training_56  0.0       True            [4, 1]        0.0001      0.5        0.9        213000      0.8900 @ 147087                      0.0677 @ 147087                         0.0669 @ 139737                       0.8868 @ 177187            \n",
       "/zpool_3TB/i2l/tb_metrics/2017-12-23 22-02-35 PST 140K_noInitModel_score_88.74                                                                          ../data/dataset5/training_56  0.0      False            [4, 1]        0.0001      0.5        0.9        153224      0.8874 @ 126921                      0.0691 @ 126921                         0.0689 @ 123346                       0.8834 @ 126921            \n",
       "/zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09                                                                             ../data/dataset5/training_56  0.0       True              None        0.0001      0.5        0.9        213965      0.8909 @ 146585                      0.0684 @ 146585                         0.0675 @ 126921                       0.8867 @ 166249            \n",
       "/zpool_3TB/i2l/tb_metrics/2017-12-31 11-32-42 PST 140K_noRegroup_noInitModel_beta2=0.90_beta1=0.25_score88.05/00169865_beta2=0.90_beta1=0.1_score88.20  ../data/dataset5/training_56  0.0      False              None        0.0001      0.1        0.9        242500      0.8820 @ 188300                      0.0738 @ 188300                         0.0726 @ 152687                       0.8783 @ 152687            "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.raw_data_dir.str.contains('dataset5')]\n",
    "# df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# runs.hypers['/zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09/events.out.tfevents.1514264671.DeepLearner\n",
      "processing file /zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09/events.out.tfevents.1514403018.DeepLearner\n",
      "WARNING: Duplicate values for tag training/bleu at step 110862\n",
      "(0.935183048248,\n",
      "0.935526967049)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 110862\n",
      "(0.0377222783864,\n",
      "0.0372374206781)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 110862\n",
      "(0.930749177933,\n",
      "0.92874121666)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 110862\n",
      "(0.0201514195651,\n",
      "0.0210598260164)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 110950\n",
      "(0.934884011745,\n",
      "0.937058806419)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 110950\n",
      "(0.0379119962454,\n",
      "0.0367913581431)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 110950\n",
      "(0.930735349655,\n",
      "0.93242752552)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 110950\n",
      "(0.0189689286053,\n",
      "0.0160191170871)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 111037\n",
      "(0.936959147453,\n",
      "0.938866198063)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 111037\n",
      "(0.0365783199668,\n",
      "0.0353783741593)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 111037\n",
      "(0.931754052639,\n",
      "0.935901582241)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 111037\n",
      "(0.0176305696368,\n",
      "0.0164821781218)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 111125\n",
      "(0.937074780464,\n",
      "0.939397275448)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 111125\n",
      "(0.0367513969541,\n",
      "0.0352781638503)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 111125\n",
      "(0.931929171085,\n",
      "0.935239911079)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 111125\n",
      "(0.0164683032781,\n",
      "0.0161687545478)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 111212\n",
      "(0.939426481724,\n",
      "0.9358112216)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 111212\n",
      "(0.0353079847991,\n",
      "0.037094861269)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 111212\n",
      "(0.934714078903,\n",
      "0.930343866348)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 111212\n",
      "(0.0166785530746,\n",
      "0.0179894305766)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 111300\n",
      "(0.935486912727,\n",
      "0.935222864151)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 111300\n",
      "(0.0373034104705,\n",
      "0.0373512543738)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 111300\n",
      "(0.930581629276,\n",
      "0.929636180401)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 111300\n",
      "(0.0177851766348,\n",
      "0.0189818888903)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 111387\n",
      "(0.93658643961,\n",
      "0.938065230846)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 111387\n",
      "(0.0369345657527,\n",
      "0.0360509380698)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 111387\n",
      "(0.931299984455,\n",
      "0.933338522911)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 111387\n",
      "(0.0174037851393,\n",
      "0.0182954836637)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 111475\n",
      "(0.936166584492,\n",
      "0.93835401535)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 111475\n",
      "(0.0371534824371,\n",
      "0.0356256142259)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 111475\n",
      "(0.930253863335,\n",
      "0.933384120464)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 111475\n",
      "(0.0167177319527,\n",
      "0.0163583364338)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 111562\n",
      "(0.936003625393,\n",
      "0.93611907959)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 111562\n",
      "(0.0370925590396,\n",
      "0.0370718501508)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 111562\n",
      "(0.929175078869,\n",
      "0.929434299469)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 111562\n",
      "(0.019849780947,\n",
      "0.0189352277666)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 111650\n",
      "(0.939251124859,\n",
      "0.934931278229)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 111650\n",
      "(0.0355239994824,\n",
      "0.037631418556)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 111650\n",
      "(0.935341060162,\n",
      "0.929393053055)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 111650\n",
      "(0.0150305042043,\n",
      "0.0185822211206)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 111737\n",
      "(0.935750484467,\n",
      "0.936552643776)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 111737\n",
      "(0.0373634472489,\n",
      "0.0368607155979)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 111737\n",
      "(0.932431876659,\n",
      "0.931705653667)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 111737\n",
      "(0.0173038356006,\n",
      "0.0174214784056)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 111825\n",
      "(0.935797572136,\n",
      "0.935346961021)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 111825\n",
      "(0.0371313467622,\n",
      "0.037276700139)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 111825\n",
      "(0.931343615055,\n",
      "0.928357422352)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 111825\n",
      "(0.0179748442024,\n",
      "0.0202987119555)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 111912\n",
      "(0.934437632561,\n",
      "0.933369934559)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 111912\n",
      "(0.0380832105875,\n",
      "0.0386752784252)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 111912\n",
      "(0.929721713066,\n",
      "0.928717970848)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 111912\n",
      "(0.0178996678442,\n",
      "0.0188917350024)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 112000\n",
      "(0.934712171555,\n",
      "0.934599220753)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 112000\n",
      "(0.0377996340394,\n",
      "0.0381014570594)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 112000\n",
      "(0.929938137531,\n",
      "0.930229723454)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 112000\n",
      "(0.0191528536379,\n",
      "0.0178285520524)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 112087\n",
      "(0.935864090919,\n",
      "0.935995519161)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 112087\n",
      "(0.0371676087379,\n",
      "0.0371403433383)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 112087\n",
      "(0.931028425694,\n",
      "0.931904494762)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 112087\n",
      "(0.0190808847547,\n",
      "0.0185644868761)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 112175\n",
      "(0.93514662981,\n",
      "0.935068845749)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 112175\n",
      "(0.0375779867172,\n",
      "0.0375104770064)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 112175\n",
      "(0.930279672146,\n",
      "0.9299685359)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 112175\n",
      "(0.0180715061724,\n",
      "0.01894566603)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 112262\n",
      "(0.93752348423,\n",
      "0.937520802021)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 112262\n",
      "(0.0361709669232,\n",
      "0.0363484583795)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 112262\n",
      "(0.932533204556,\n",
      "0.933046936989)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 112262\n",
      "(0.0169821493328,\n",
      "0.0171921197325)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 112350\n",
      "(0.939127326012,\n",
      "0.93621969223)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 112350\n",
      "(0.035311229527,\n",
      "0.0370416603982)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 112350\n",
      "(0.933163821697,\n",
      "0.932221412659)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 112350\n",
      "(0.0170100554824,\n",
      "0.0174640342593)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 112437\n",
      "(0.935757100582,\n",
      "0.932421147823)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 112437\n",
      "(0.0371834784746,\n",
      "0.0391946434975)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 112437\n",
      "(0.929852426052,\n",
      "0.926643550396)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 112437\n",
      "(0.0188773181289,\n",
      "0.0189958419651)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 112525\n",
      "(0.93677932024,\n",
      "0.937667548656)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 112525\n",
      "(0.0366493165493,\n",
      "0.0361868403852)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 112525\n",
      "(0.930696368217,\n",
      "0.931335747242)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 112525\n",
      "(0.0189954526722,\n",
      "0.0172884110361)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 112612\n",
      "(0.936058104038,\n",
      "0.93727606535)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 112612\n",
      "(0.0371726676822,\n",
      "0.0363426469266)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 112612\n",
      "(0.930352628231,\n",
      "0.932128250599)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 112612\n",
      "(0.0182723719627,\n",
      "0.0190719515085)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu at step 112620\n",
      "(0.942405045033,\n",
      "0.934309482574)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/ctc_ed at step 112620\n",
      "(0.0333109945059,\n",
      "0.0371796153486)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/bleu2 at step 112620\n",
      "(0.941429972649,\n",
      "0.931649982929)\n",
      "Overwriting values\n",
      "WARNING: Duplicate values for tag training/logloss_mean at step 112620\n",
      "(0.0127163343132,\n",
      "0.0244401022792)\n",
      "Overwriting values\n"
     ]
    }
   ],
   "source": [
    "reader = viz.TBSummaryReader('/zpool_3TB/i2l/tb_metrics/2017-12-25 21-04-15 PST 140K_noRegroup_score89.09', 56)\n",
    "df = reader.read('(validation|training)/.*(bleu|edit_distance|ctc_ed|logloss_mean)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>700</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>0.607890</td>\n",
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       "      <td>1.514266e+09</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>1.514266e+09</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>1.514266e+09</td>\n",
       "      <td>0.525104</td>\n",
       "      <td>2.239923</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>1750</th>\n",
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       "      <td>0.194433</td>\n",
       "      <td>2000</td>\n",
       "      <td>1.514266e+09</td>\n",
       "      <td>0.512535</td>\n",
       "      <td>2.179569</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1787</th>\n",
       "      <td>0.247514</td>\n",
       "      <td>0.197236</td>\n",
       "      <td>2043</td>\n",
       "      <td>1.514266e+09</td>\n",
       "      <td>0.507861</td>\n",
       "      <td>2.142945</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1837</th>\n",
       "      <td>0.250046</td>\n",
       "      <td>0.200658</td>\n",
       "      <td>2100</td>\n",
       "      <td>1.514267e+09</td>\n",
       "      <td>0.501882</td>\n",
       "      <td>2.130401</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1925</th>\n",
       "      <td>0.245512</td>\n",
       "      <td>0.211317</td>\n",
       "      <td>2200</td>\n",
       "      <td>1.514267e+09</td>\n",
       "      <td>0.495228</td>\n",
       "      <td>2.083688</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>0.245429</td>\n",
       "      <td>0.217690</td>\n",
       "      <td>2300</td>\n",
       "      <td>1.514267e+09</td>\n",
       "      <td>0.488714</td>\n",
       "      <td>2.054823</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2100</th>\n",
       "      <td>0.252849</td>\n",
       "      <td>0.226940</td>\n",
       "      <td>2400</td>\n",
       "      <td>1.514267e+09</td>\n",
       "      <td>0.477506</td>\n",
       "      <td>1.998231</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2187</th>\n",
       "      <td>0.263290</td>\n",
       "      <td>0.235549</td>\n",
       "      <td>2500</td>\n",
       "      <td>1.514267e+09</td>\n",
       "      <td>0.466079</td>\n",
       "      <td>1.950999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2275</th>\n",
       "      <td>0.270981</td>\n",
       "      <td>0.247194</td>\n",
       "      <td>2600</td>\n",
       "      <td>1.514267e+09</td>\n",
       "      <td>0.458223</td>\n",
       "      <td>1.913177</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2362</th>\n",
       "      <td>0.272907</td>\n",
       "      <td>0.250935</td>\n",
       "      <td>2700</td>\n",
       "      <td>1.514267e+09</td>\n",
       "      <td>0.452276</td>\n",
       "      <td>1.874469</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2450</th>\n",
       "      <td>0.281899</td>\n",
       "      <td>0.259683</td>\n",
       "      <td>2800</td>\n",
       "      <td>1.514267e+09</td>\n",
       "      <td>0.443015</td>\n",
       "      <td>1.829301</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2537</th>\n",
       "      <td>0.291062</td>\n",
       "      <td>0.269852</td>\n",
       "      <td>2900</td>\n",
       "      <td>1.514267e+09</td>\n",
       "      <td>0.432362</td>\n",
       "      <td>1.786480</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2625</th>\n",
       "      <td>0.296991</td>\n",
       "      <td>0.280900</td>\n",
       "      <td>3000</td>\n",
       "      <td>1.514267e+09</td>\n",
       "      <td>0.423895</td>\n",
       "      <td>1.732636</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2712</th>\n",
       "      <td>0.304261</td>\n",
       "      <td>0.288393</td>\n",
       "      <td>3100</td>\n",
       "      <td>1.514267e+09</td>\n",
       "      <td>0.414873</td>\n",
       "      <td>1.696424</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2800</th>\n",
       "      <td>0.314171</td>\n",
       "      <td>0.297118</td>\n",
       "      <td>3200</td>\n",
       "      <td>1.514267e+09</td>\n",
       "      <td>0.407775</td>\n",
       "      <td>1.662596</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2887</th>\n",
       "      <td>0.328183</td>\n",
       "      <td>0.313639</td>\n",
       "      <td>3300</td>\n",
       "      <td>1.514268e+09</td>\n",
       "      <td>0.391182</td>\n",
       "      <td>1.589526</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2975</th>\n",
       "      <td>0.336159</td>\n",
       "      <td>0.323442</td>\n",
       "      <td>3400</td>\n",
       "      <td>1.514268e+09</td>\n",
       "      <td>0.384294</td>\n",
       "      <td>1.560532</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3062</th>\n",
       "      <td>0.346025</td>\n",
       "      <td>0.331126</td>\n",
       "      <td>3500</td>\n",
       "      <td>1.514268e+09</td>\n",
       "      <td>0.377802</td>\n",
       "      <td>1.524816</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3150</th>\n",
       "      <td>0.351391</td>\n",
       "      <td>0.338661</td>\n",
       "      <td>3600</td>\n",
       "      <td>1.514268e+09</td>\n",
       "      <td>0.371503</td>\n",
       "      <td>1.495178</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3237</th>\n",
       "      <td>0.366159</td>\n",
       "      <td>0.354231</td>\n",
       "      <td>3700</td>\n",
       "      <td>1.514268e+09</td>\n",
       "      <td>0.360051</td>\n",
       "      <td>1.440071</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3325</th>\n",
       "      <td>0.373289</td>\n",
       "      <td>0.358715</td>\n",
       "      <td>3800</td>\n",
       "      <td>1.514268e+09</td>\n",
       "      <td>0.354552</td>\n",
       "      <td>1.421142</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3412</th>\n",
       "      <td>0.389398</td>\n",
       "      <td>0.377851</td>\n",
       "      <td>3900</td>\n",
       "      <td>1.514268e+09</td>\n",
       "      <td>0.342379</td>\n",
       "      <td>1.363816</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3500</th>\n",
       "      <td>0.398662</td>\n",
       "      <td>0.384612</td>\n",
       "      <td>4000</td>\n",
       "      <td>1.514268e+09</td>\n",
       "      <td>0.335073</td>\n",
       "      <td>1.341348</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3575</th>\n",
       "      <td>0.401984</td>\n",
       "      <td>0.390167</td>\n",
       "      <td>4086</td>\n",
       "      <td>1.514268e+09</td>\n",
       "      <td>0.336105</td>\n",
       "      <td>1.333724</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3587</th>\n",
       "      <td>0.414852</td>\n",
       "      <td>0.411954</td>\n",
       "      <td>4100</td>\n",
       "      <td>1.514268e+09</td>\n",
       "      <td>0.323146</td>\n",
       "      <td>1.282918</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3675</th>\n",
       "      <td>0.420293</td>\n",
       "      <td>0.402419</td>\n",
       "      <td>4200</td>\n",
       "      <td>1.514268e+09</td>\n",
       "      <td>0.319817</td>\n",
       "      <td>1.271249</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3762</th>\n",
       "      <td>0.425742</td>\n",
       "      <td>0.411103</td>\n",
       "      <td>4300</td>\n",
       "      <td>1.514268e+09</td>\n",
       "      <td>0.317509</td>\n",
       "      <td>1.245812</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3850</th>\n",
       "      <td>0.442163</td>\n",
       "      <td>0.432813</td>\n",
       "      <td>4400</td>\n",
       "      <td>1.514269e+09</td>\n",
       "      <td>0.306081</td>\n",
       "      <td>1.202767</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3937</th>\n",
       "      <td>0.444956</td>\n",
       "      <td>0.434403</td>\n",
       "      <td>4500</td>\n",
       "      <td>1.514269e+09</td>\n",
       "      <td>0.305676</td>\n",
       "      <td>1.200729</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4025</th>\n",
       "      <td>0.457018</td>\n",
       "      <td>0.441022</td>\n",
       "      <td>4600</td>\n",
       "      <td>1.514269e+09</td>\n",
       "      <td>0.297821</td>\n",
       "      <td>1.167564</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4112</th>\n",
       "      <td>0.467698</td>\n",
       "      <td>0.450852</td>\n",
       "      <td>4700</td>\n",
       "      <td>1.514269e+09</td>\n",
       "      <td>0.291559</td>\n",
       "      <td>1.135133</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4200</th>\n",
       "      <td>0.469553</td>\n",
       "      <td>0.453341</td>\n",
       "      <td>4800</td>\n",
       "      <td>1.514269e+09</td>\n",
       "      <td>0.291195</td>\n",
       "      <td>1.136270</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4287</th>\n",
       "      <td>0.480618</td>\n",
       "      <td>0.469825</td>\n",
       "      <td>4900</td>\n",
       "      <td>1.514269e+09</td>\n",
       "      <td>0.282465</td>\n",
       "      <td>1.083823</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4375</th>\n",
       "      <td>0.482559</td>\n",
       "      <td>0.470133</td>\n",
       "      <td>5000</td>\n",
       "      <td>1.514269e+09</td>\n",
       "      <td>0.282078</td>\n",
       "      <td>1.094931</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4462</th>\n",
       "      <td>0.487874</td>\n",
       "      <td>0.470117</td>\n",
       "      <td>5100</td>\n",
       "      <td>1.514269e+09</td>\n",
       "      <td>0.281097</td>\n",
       "      <td>1.093704</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4550</th>\n",
       "      <td>0.503774</td>\n",
       "      <td>0.491653</td>\n",
       "      <td>5200</td>\n",
       "      <td>1.514269e+09</td>\n",
       "      <td>0.268720</td>\n",
       "      <td>1.027330</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4637</th>\n",
       "      <td>0.516989</td>\n",
       "      <td>0.504421</td>\n",
       "      <td>5300</td>\n",
       "      <td>1.514269e+09</td>\n",
       "      <td>0.259234</td>\n",
       "      <td>0.986067</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4725</th>\n",
       "      <td>0.526245</td>\n",
       "      <td>0.510525</td>\n",
       "      <td>5400</td>\n",
       "      <td>1.514269e+09</td>\n",
       "      <td>0.253759</td>\n",
       "      <td>0.959393</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4812</th>\n",
       "      <td>0.532275</td>\n",
       "      <td>0.519798</td>\n",
       "      <td>5500</td>\n",
       "      <td>1.514270e+09</td>\n",
       "      <td>0.251554</td>\n",
       "      <td>0.958554</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4900</th>\n",
       "      <td>0.544408</td>\n",
       "      <td>0.535179</td>\n",
       "      <td>5600</td>\n",
       "      <td>1.514270e+09</td>\n",
       "      <td>0.242341</td>\n",
       "      <td>0.904836</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4987</th>\n",
       "      <td>0.549669</td>\n",
       "      <td>0.531497</td>\n",
       "      <td>5700</td>\n",
       "      <td>1.514270e+09</td>\n",
       "      <td>0.240591</td>\n",
       "      <td>0.900188</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5075</th>\n",
       "      <td>0.552610</td>\n",
       "      <td>0.535350</td>\n",
       "      <td>5800</td>\n",
       "      <td>1.514270e+09</td>\n",
       "      <td>0.238935</td>\n",
       "      <td>0.889871</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5162</th>\n",
       "      <td>0.562905</td>\n",
       "      <td>0.545309</td>\n",
       "      <td>5900</td>\n",
       "      <td>1.514270e+09</td>\n",
       "      <td>0.233005</td>\n",
       "      <td>0.869659</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5250</th>\n",
       "      <td>0.562393</td>\n",
       "      <td>0.545512</td>\n",
       "      <td>6000</td>\n",
       "      <td>1.514270e+09</td>\n",
       "      <td>0.233781</td>\n",
       "      <td>0.862200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5337</th>\n",
       "      <td>0.578430</td>\n",
       "      <td>0.557204</td>\n",
       "      <td>6100</td>\n",
       "      <td>1.514270e+09</td>\n",
       "      <td>0.223837</td>\n",
       "      <td>0.826742</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5362</th>\n",
       "      <td>0.589383</td>\n",
       "      <td>0.577649</td>\n",
       "      <td>6128</td>\n",
       "      <td>1.514270e+09</td>\n",
       "      <td>0.217076</td>\n",
       "      <td>0.799968</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5425</th>\n",
       "      <td>0.587191</td>\n",
       "      <td>0.568100</td>\n",
       "      <td>6200</td>\n",
       "      <td>1.514270e+09</td>\n",
       "      <td>0.218489</td>\n",
       "      <td>0.793282</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5512</th>\n",
       "      <td>0.596190</td>\n",
       "      <td>0.574304</td>\n",
       "      <td>6300</td>\n",
       "      <td>1.514270e+09</td>\n",
       "      <td>0.213484</td>\n",
       "      <td>0.781246</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5600</th>\n",
       "      <td>0.592758</td>\n",
       "      <td>0.576037</td>\n",
       "      <td>6400</td>\n",
       "      <td>1.514270e+09</td>\n",
       "      <td>0.217426</td>\n",
       "      <td>0.804647</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5687</th>\n",
       "      <td>0.615010</td>\n",
       "      <td>0.598530</td>\n",
       "      <td>6500</td>\n",
       "      <td>1.514270e+09</td>\n",
       "      <td>0.201593</td>\n",
       "      <td>0.726817</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5775</th>\n",
       "      <td>0.614482</td>\n",
       "      <td>0.598448</td>\n",
       "      <td>6600</td>\n",
       "      <td>1.514271e+09</td>\n",
       "      <td>0.202580</td>\n",
       "      <td>0.735519</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5862</th>\n",
       "      <td>0.601180</td>\n",
       "      <td>0.578362</td>\n",
       "      <td>6700</td>\n",
       "      <td>1.514271e+09</td>\n",
       "      <td>0.213072</td>\n",
       "      <td>0.772335</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5950</th>\n",
       "      <td>0.622307</td>\n",
       "      <td>0.605749</td>\n",
       "      <td>6800</td>\n",
       "      <td>1.514271e+09</td>\n",
       "      <td>0.198752</td>\n",
       "      <td>0.709398</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6037</th>\n",
       "      <td>0.618565</td>\n",
       "      <td>0.594289</td>\n",
       "      <td>6900</td>\n",
       "      <td>1.514271e+09</td>\n",
       "      <td>0.203247</td>\n",
       "      <td>0.731486</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6125</th>\n",
       "      <td>0.618575</td>\n",
       "      <td>0.601496</td>\n",
       "      <td>7000</td>\n",
       "      <td>1.514271e+09</td>\n",
       "      <td>0.202276</td>\n",
       "      <td>0.724584</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6212</th>\n",
       "      <td>0.638910</td>\n",
       "      <td>0.618223</td>\n",
       "      <td>7100</td>\n",
       "      <td>1.514271e+09</td>\n",
       "      <td>0.189471</td>\n",
       "      <td>0.669698</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6300</th>\n",
       "      <td>0.648438</td>\n",
       "      <td>0.633564</td>\n",
       "      <td>7200</td>\n",
       "      <td>1.514271e+09</td>\n",
       "      <td>0.183500</td>\n",
       "      <td>0.641026</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6387</th>\n",
       "      <td>0.630209</td>\n",
       "      <td>0.605912</td>\n",
       "      <td>7300</td>\n",
       "      <td>1.514271e+09</td>\n",
       "      <td>0.195540</td>\n",
       "      <td>0.694712</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6475</th>\n",
       "      <td>0.647699</td>\n",
       "      <td>0.631475</td>\n",
       "      <td>7400</td>\n",
       "      <td>1.514271e+09</td>\n",
       "      <td>0.185659</td>\n",
       "      <td>0.644745</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6562</th>\n",
       "      <td>0.637811</td>\n",
       "      <td>0.619087</td>\n",
       "      <td>7500</td>\n",
       "      <td>1.514271e+09</td>\n",
       "      <td>0.192646</td>\n",
       "      <td>0.680006</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6650</th>\n",
       "      <td>0.666120</td>\n",
       "      <td>0.645567</td>\n",
       "      <td>7600</td>\n",
       "      <td>1.514271e+09</td>\n",
       "      <td>0.174540</td>\n",
       "      <td>0.603845</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6737</th>\n",
       "      <td>0.668261</td>\n",
       "      <td>0.650118</td>\n",
       "      <td>7700</td>\n",
       "      <td>1.514272e+09</td>\n",
       "      <td>0.173526</td>\n",
       "      <td>0.596944</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6825</th>\n",
       "      <td>0.672057</td>\n",
       "      <td>0.651411</td>\n",
       "      <td>7800</td>\n",
       "      <td>1.514272e+09</td>\n",
       "      <td>0.172332</td>\n",
       "      <td>0.597685</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6912</th>\n",
       "      <td>0.679060</td>\n",
       "      <td>0.660712</td>\n",
       "      <td>7900</td>\n",
       "      <td>1.514272e+09</td>\n",
       "      <td>0.168735</td>\n",
       "      <td>0.577931</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7000</th>\n",
       "      <td>0.672749</td>\n",
       "      <td>0.657528</td>\n",
       "      <td>8000</td>\n",
       "      <td>1.514272e+09</td>\n",
       "      <td>0.173200</td>\n",
       "      <td>0.594197</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7087</th>\n",
       "      <td>0.683441</td>\n",
       "      <td>0.668417</td>\n",
       "      <td>8100</td>\n",
       "      <td>1.514272e+09</td>\n",
       "      <td>0.166470</td>\n",
       "      <td>0.564106</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7150</th>\n",
       "      <td>0.685180</td>\n",
       "      <td>0.666195</td>\n",
       "      <td>8172</td>\n",
       "      <td>1.514272e+09</td>\n",
       "      <td>0.165297</td>\n",
       "      <td>0.566971</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7175</th>\n",
       "      <td>0.697959</td>\n",
       "      <td>0.671630</td>\n",
       "      <td>8200</td>\n",
       "      <td>1.514272e+09</td>\n",
       "      <td>0.157718</td>\n",
       "      <td>0.525448</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7262</th>\n",
       "      <td>0.695860</td>\n",
       "      <td>0.678559</td>\n",
       "      <td>8300</td>\n",
       "      <td>1.514272e+09</td>\n",
       "      <td>0.159443</td>\n",
       "      <td>0.533953</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7350</th>\n",
       "      <td>0.691428</td>\n",
       "      <td>0.676351</td>\n",
       "      <td>8400</td>\n",
       "      <td>1.514272e+09</td>\n",
       "      <td>0.162845</td>\n",
       "      <td>0.552721</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7437</th>\n",
       "      <td>0.725913</td>\n",
       "      <td>0.712232</td>\n",
       "      <td>8500</td>\n",
       "      <td>1.514272e+09</td>\n",
       "      <td>0.140899</td>\n",
       "      <td>0.461846</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7525</th>\n",
       "      <td>0.687565</td>\n",
       "      <td>0.661935</td>\n",
       "      <td>8600</td>\n",
       "      <td>1.514272e+09</td>\n",
       "      <td>0.166717</td>\n",
       "      <td>0.576502</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7612</th>\n",
       "      <td>0.708706</td>\n",
       "      <td>0.687985</td>\n",
       "      <td>8700</td>\n",
       "      <td>1.514272e+09</td>\n",
       "      <td>0.152251</td>\n",
       "      <td>0.502884</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7700</th>\n",
       "      <td>0.724165</td>\n",
       "      <td>0.703283</td>\n",
       "      <td>8800</td>\n",
       "      <td>1.514273e+09</td>\n",
       "      <td>0.142455</td>\n",
       "      <td>0.464735</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7787</th>\n",
       "      <td>0.716252</td>\n",
       "      <td>0.703284</td>\n",
       "      <td>8900</td>\n",
       "      <td>1.514273e+09</td>\n",
       "      <td>0.148658</td>\n",
       "      <td>0.490353</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7875</th>\n",
       "      <td>0.720846</td>\n",
       "      <td>0.700975</td>\n",
       "      <td>9000</td>\n",
       "      <td>1.514273e+09</td>\n",
       "      <td>0.145490</td>\n",
       "      <td>0.475208</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7962</th>\n",
       "      <td>0.726194</td>\n",
       "      <td>0.712777</td>\n",
       "      <td>9100</td>\n",
       "      <td>1.514273e+09</td>\n",
       "      <td>0.141889</td>\n",
       "      <td>0.458871</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8050</th>\n",
       "      <td>0.719822</td>\n",
       "      <td>0.697438</td>\n",
       "      <td>9200</td>\n",
       "      <td>1.514273e+09</td>\n",
       "      <td>0.146937</td>\n",
       "      <td>0.482779</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8137</th>\n",
       "      <td>0.721687</td>\n",
       "      <td>0.705633</td>\n",
       "      <td>9300</td>\n",
       "      <td>1.514273e+09</td>\n",
       "      <td>0.145391</td>\n",
       "      <td>0.468518</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8225</th>\n",
       "      <td>0.739031</td>\n",
       "      <td>0.722226</td>\n",
       "      <td>9400</td>\n",
       "      <td>1.514273e+09</td>\n",
       "      <td>0.135255</td>\n",
       "      <td>0.433397</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8312</th>\n",
       "      <td>0.726384</td>\n",
       "      <td>0.707437</td>\n",
       "      <td>9500</td>\n",
       "      <td>1.514273e+09</td>\n",
       "      <td>0.143779</td>\n",
       "      <td>0.475208</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8400</th>\n",
       "      <td>0.733760</td>\n",
       "      <td>0.710574</td>\n",
       "      <td>9600</td>\n",
       "      <td>1.514273e+09</td>\n",
       "      <td>0.138600</td>\n",
       "      <td>0.437566</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8487</th>\n",
       "      <td>0.746517</td>\n",
       "      <td>0.729806</td>\n",
       "      <td>9700</td>\n",
       "      <td>1.514273e+09</td>\n",
       "      <td>0.131088</td>\n",
       "      <td>0.415185</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8575</th>\n",
       "      <td>0.741041</td>\n",
       "      <td>0.722550</td>\n",
       "      <td>9800</td>\n",
       "      <td>1.514274e+09</td>\n",
       "      <td>0.134846</td>\n",
       "      <td>0.427912</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8662</th>\n",
       "      <td>0.748666</td>\n",
       "      <td>0.728239</td>\n",
       "      <td>9900</td>\n",
       "      <td>1.514274e+09</td>\n",
       "      <td>0.130030</td>\n",
       "      <td>0.413246</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8750</th>\n",
       "      <td>0.743456</td>\n",
       "      <td>0.727193</td>\n",
       "      <td>10000</td>\n",
       "      <td>1.514274e+09</td>\n",
       "      <td>0.133559</td>\n",
       "      <td>0.418998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8837</th>\n",
       "      <td>0.750773</td>\n",
       "      <td>0.730375</td>\n",
       "      <td>10100</td>\n",
       "      <td>1.514274e+09</td>\n",
       "      <td>0.129639</td>\n",
       "      <td>0.408656</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8925</th>\n",
       "      <td>0.737783</td>\n",
       "      <td>0.717771</td>\n",
       "      <td>10200</td>\n",
       "      <td>1.514274e+09</td>\n",
       "      <td>0.137756</td>\n",
       "      <td>0.445697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8938</th>\n",
       "      <td>0.743483</td>\n",
       "      <td>0.715664</td>\n",
       "      <td>10215</td>\n",
       "      <td>1.514274e+09</td>\n",
       "      <td>0.133990</td>\n",
       "      <td>0.421030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9012</th>\n",
       "      <td>0.769702</td>\n",
       "      <td>0.754503</td>\n",
       "      <td>10300</td>\n",
       "      <td>1.514274e+09</td>\n",
       "      <td>0.118637</td>\n",
       "      <td>0.360950</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9100</th>\n",
       "      <td>0.763209</td>\n",
       "      <td>0.747760</td>\n",
       "      <td>10400</td>\n",
       "      <td>1.514274e+09</td>\n",
       "      <td>0.122506</td>\n",
       "      <td>0.375565</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9187</th>\n",
       "      <td>0.767744</td>\n",
       "      <td>0.749429</td>\n",
       "      <td>10500</td>\n",
       "      <td>1.514274e+09</td>\n",
       "      <td>0.120627</td>\n",
       "      <td>0.364184</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9275</th>\n",
       "      <td>0.768231</td>\n",
       "      <td>0.748365</td>\n",
       "      <td>10600</td>\n",
       "      <td>1.514274e+09</td>\n",
       "      <td>0.120641</td>\n",
       "      <td>0.368972</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9362</th>\n",
       "      <td>0.767002</td>\n",
       "      <td>0.747286</td>\n",
       "      <td>10700</td>\n",
       "      <td>1.514274e+09</td>\n",
       "      <td>0.120667</td>\n",
       "      <td>0.368957</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9450</th>\n",
       "      <td>0.771656</td>\n",
       "      <td>0.756572</td>\n",
       "      <td>10800</td>\n",
       "      <td>1.514274e+09</td>\n",
       "      <td>0.118453</td>\n",
       "      <td>0.353592</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9537</th>\n",
       "      <td>0.776935</td>\n",
       "      <td>0.762930</td>\n",
       "      <td>10900</td>\n",
       "      <td>1.514275e+09</td>\n",
       "      <td>0.115708</td>\n",
       "      <td>0.343818</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9625</th>\n",
       "      <td>0.773938</td>\n",
       "      <td>0.756162</td>\n",
       "      <td>11000</td>\n",
       "      <td>1.514275e+09</td>\n",
       "      <td>0.117043</td>\n",
       "      <td>0.352358</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9712</th>\n",
       "      <td>0.777972</td>\n",
       "      <td>0.761050</td>\n",
       "      <td>11100</td>\n",
       "      <td>1.514275e+09</td>\n",
       "      <td>0.114576</td>\n",
       "      <td>0.346305</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9800</th>\n",
       "      <td>0.777929</td>\n",
       "      <td>0.762156</td>\n",
       "      <td>11200</td>\n",
       "      <td>1.514275e+09</td>\n",
       "      <td>0.115274</td>\n",
       "      <td>0.355647</td>\n",
       "      <td>0.779241</td>\n",
       "      <td>0.151183</td>\n",
       "      <td>0.781426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9887</th>\n",
       "      <td>0.777716</td>\n",
       "      <td>0.763866</td>\n",
       "      <td>11300</td>\n",
       "      <td>1.514275e+09</td>\n",
       "      <td>0.115641</td>\n",
       "      <td>0.344439</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9975</th>\n",
       "      <td>0.774080</td>\n",
       "      <td>0.753875</td>\n",
       "      <td>11400</td>\n",
       "      <td>1.514275e+09</td>\n",
       "      <td>0.117593</td>\n",
       "      <td>0.351424</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10062</th>\n",
       "      <td>0.778375</td>\n",
       "      <td>0.760793</td>\n",
       "      <td>11500</td>\n",
       "      <td>1.514275e+09</td>\n",
       "      <td>0.114861</td>\n",
       "      <td>0.339827</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10150</th>\n",
       "      <td>0.778935</td>\n",
       "      <td>0.761044</td>\n",
       "      <td>11600</td>\n",
       "      <td>1.514275e+09</td>\n",
       "      <td>0.114771</td>\n",
       "      <td>0.337454</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10237</th>\n",
       "      <td>0.777947</td>\n",
       "      <td>0.759669</td>\n",
       "      <td>11700</td>\n",
       "      <td>1.514276e+09</td>\n",
       "      <td>0.116057</td>\n",
       "      <td>0.347533</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10325</th>\n",
       "      <td>0.749551</td>\n",
       "      <td>0.723449</td>\n",
       "      <td>11800</td>\n",
       "      <td>1.514276e+09</td>\n",
       "      <td>0.137654</td>\n",
       "      <td>0.475181</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10412</th>\n",
       "      <td>0.781254</td>\n",
       "      <td>0.764622</td>\n",
       "      <td>11900</td>\n",
       "      <td>1.514276e+09</td>\n",
       "      <td>0.113968</td>\n",
       "      <td>0.336829</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10500</th>\n",
       "      <td>0.781790</td>\n",
       "      <td>0.765504</td>\n",
       "      <td>12000</td>\n",
       "      <td>1.514276e+09</td>\n",
       "      <td>0.113853</td>\n",
       "      <td>0.338689</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10587</th>\n",
       "      <td>0.786972</td>\n",
       "      <td>0.769283</td>\n",
       "      <td>12100</td>\n",
       "      <td>1.514276e+09</td>\n",
       "      <td>0.110115</td>\n",
       "      <td>0.318332</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10675</th>\n",
       "      <td>0.786778</td>\n",
       "      <td>0.768911</td>\n",
       "      <td>12200</td>\n",
       "      <td>1.514276e+09</td>\n",
       "      <td>0.111318</td>\n",
       "      <td>0.329779</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10725</th>\n",
       "      <td>0.788119</td>\n",
       "      <td>0.769088</td>\n",
       "      <td>12258</td>\n",
       "      <td>1.514276e+09</td>\n",
       "      <td>0.109655</td>\n",
       "      <td>0.317491</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10762</th>\n",
       "      <td>0.807000</td>\n",
       "      <td>0.791829</td>\n",
       "      <td>12300</td>\n",
       "      <td>1.514276e+09</td>\n",
       "      <td>0.099522</td>\n",
       "      <td>0.294127</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10850</th>\n",
       "      <td>0.799821</td>\n",
       "      <td>0.784123</td>\n",
       "      <td>12400</td>\n",
       "      <td>1.514276e+09</td>\n",
       "      <td>0.103353</td>\n",
       "      <td>0.291574</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10937</th>\n",
       "      <td>0.805485</td>\n",
       "      <td>0.790262</td>\n",
       "      <td>12500</td>\n",
       "      <td>1.514276e+09</td>\n",
       "      <td>0.100010</td>\n",
       "      <td>0.278867</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11025</th>\n",
       "      <td>0.798528</td>\n",
       "      <td>0.782075</td>\n",
       "      <td>12600</td>\n",
       "      <td>1.514276e+09</td>\n",
       "      <td>0.105051</td>\n",
       "      <td>0.296165</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11112</th>\n",
       "      <td>0.809422</td>\n",
       "      <td>0.790668</td>\n",
       "      <td>12700</td>\n",
       "      <td>1.514276e+09</td>\n",
       "      <td>0.097560</td>\n",
       "      <td>0.268607</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11200</th>\n",
       "      <td>0.801088</td>\n",
       "      <td>0.786305</td>\n",
       "      <td>12800</td>\n",
       "      <td>1.514277e+09</td>\n",
       "      <td>0.103759</td>\n",
       "      <td>0.301425</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11287</th>\n",
       "      <td>0.797890</td>\n",
       "      <td>0.782183</td>\n",
       "      <td>12900</td>\n",
       "      <td>1.514277e+09</td>\n",
       "      <td>0.104737</td>\n",
       "      <td>0.296099</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11375</th>\n",
       "      <td>0.803728</td>\n",
       "      <td>0.787398</td>\n",
       "      <td>13000</td>\n",
       "      <td>1.514277e+09</td>\n",
       "      <td>0.101891</td>\n",
       "      <td>0.281012</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11462</th>\n",
       "      <td>0.809226</td>\n",
       "      <td>0.796324</td>\n",
       "      <td>13100</td>\n",
       "      <td>1.514277e+09</td>\n",
       "      <td>0.098530</td>\n",
       "      <td>0.274603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11550</th>\n",
       "      <td>0.816038</td>\n",
       "      <td>0.802817</td>\n",
       "      <td>13200</td>\n",
       "      <td>1.514277e+09</td>\n",
       "      <td>0.095007</td>\n",
       "      <td>0.262388</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11637</th>\n",
       "      <td>0.809140</td>\n",
       "      <td>0.796474</td>\n",
       "      <td>13300</td>\n",
       "      <td>1.514277e+09</td>\n",
       "      <td>0.098336</td>\n",
       "      <td>0.271350</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11725</th>\n",
       "      <td>0.813338</td>\n",
       "      <td>0.796163</td>\n",
       "      <td>13400</td>\n",
       "      <td>1.514277e+09</td>\n",
       "      <td>0.096238</td>\n",
       "      <td>0.265125</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11812</th>\n",
       "      <td>0.809065</td>\n",
       "      <td>0.789293</td>\n",
       "      <td>13500</td>\n",
       "      <td>1.514277e+09</td>\n",
       "      <td>0.098521</td>\n",
       "      <td>0.265008</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11900</th>\n",
       "      <td>0.810452</td>\n",
       "      <td>0.795541</td>\n",
       "      <td>13600</td>\n",
       "      <td>1.514277e+09</td>\n",
       "      <td>0.097929</td>\n",
       "      <td>0.268727</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11987</th>\n",
       "      <td>0.811285</td>\n",
       "      <td>0.793998</td>\n",
       "      <td>13700</td>\n",
       "      <td>1.514277e+09</td>\n",
       "      <td>0.097922</td>\n",
       "      <td>0.265733</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12075</th>\n",
       "      <td>0.812540</td>\n",
       "      <td>0.798773</td>\n",
       "      <td>13800</td>\n",
       "      <td>1.514278e+09</td>\n",
       "      <td>0.097095</td>\n",
       "      <td>0.264960</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12162</th>\n",
       "      <td>0.806770</td>\n",
       "      <td>0.793792</td>\n",
       "      <td>13900</td>\n",
       "      <td>1.514278e+09</td>\n",
       "      <td>0.101673</td>\n",
       "      <td>0.298318</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12250</th>\n",
       "      <td>0.815598</td>\n",
       "      <td>0.800303</td>\n",
       "      <td>14000</td>\n",
       "      <td>1.514278e+09</td>\n",
       "      <td>0.096606</td>\n",
       "      <td>0.265344</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12337</th>\n",
       "      <td>0.813755</td>\n",
       "      <td>0.800812</td>\n",
       "      <td>14100</td>\n",
       "      <td>1.514278e+09</td>\n",
       "      <td>0.096562</td>\n",
       "      <td>0.263720</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12425</th>\n",
       "      <td>0.817058</td>\n",
       "      <td>0.803377</td>\n",
       "      <td>14200</td>\n",
       "      <td>1.514278e+09</td>\n",
       "      <td>0.094268</td>\n",
       "      <td>0.255361</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12512</th>\n",
       "      <td>0.808929</td>\n",
       "      <td>0.796491</td>\n",
       "      <td>14300</td>\n",
       "      <td>1.514278e+09</td>\n",
       "      <td>0.099544</td>\n",
       "      <td>0.279877</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12513</th>\n",
       "      <td>0.847758</td>\n",
       "      <td>0.853455</td>\n",
       "      <td>14301</td>\n",
       "      <td>1.514278e+09</td>\n",
       "      <td>0.073868</td>\n",
       "      <td>0.247928</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12600</th>\n",
       "      <td>0.810721</td>\n",
       "      <td>0.798466</td>\n",
       "      <td>14400</td>\n",
       "      <td>1.514278e+09</td>\n",
       "      <td>0.100204</td>\n",
       "      <td>0.295110</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12687</th>\n",
       "      <td>0.824336</td>\n",
       "      <td>0.807513</td>\n",
       "      <td>14500</td>\n",
       "      <td>1.514278e+09</td>\n",
       "      <td>0.091057</td>\n",
       "      <td>0.240501</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12775</th>\n",
       "      <td>0.823092</td>\n",
       "      <td>0.805881</td>\n",
       "      <td>14600</td>\n",
       "      <td>1.514278e+09</td>\n",
       "      <td>0.091569</td>\n",
       "      <td>0.242462</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12862</th>\n",
       "      <td>0.826808</td>\n",
       "      <td>0.810583</td>\n",
       "      <td>14700</td>\n",
       "      <td>1.514278e+09</td>\n",
       "      <td>0.090010</td>\n",
       "      <td>0.233607</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12950</th>\n",
       "      <td>0.833794</td>\n",
       "      <td>0.821792</td>\n",
       "      <td>14800</td>\n",
       "      <td>1.514278e+09</td>\n",
       "      <td>0.085349</td>\n",
       "      <td>0.219571</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13037</th>\n",
       "      <td>0.837360</td>\n",
       "      <td>0.822994</td>\n",
       "      <td>14900</td>\n",
       "      <td>1.514279e+09</td>\n",
       "      <td>0.083559</td>\n",
       "      <td>0.215732</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13125</th>\n",
       "      <td>0.829883</td>\n",
       "      <td>0.816602</td>\n",
       "      <td>15000</td>\n",
       "      <td>1.514279e+09</td>\n",
       "      <td>0.087731</td>\n",
       "      <td>0.226935</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13212</th>\n",
       "      <td>0.834485</td>\n",
       "      <td>0.819773</td>\n",
       "      <td>15100</td>\n",
       "      <td>1.514279e+09</td>\n",
       "      <td>0.085020</td>\n",
       "      <td>0.220397</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13300</th>\n",
       "      <td>0.833560</td>\n",
       "      <td>0.821212</td>\n",
       "      <td>15200</td>\n",
       "      <td>1.514279e+09</td>\n",
       "      <td>0.085972</td>\n",
       "      <td>0.221767</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13387</th>\n",
       "      <td>0.832849</td>\n",
       "      <td>0.817594</td>\n",
       "      <td>15300</td>\n",
       "      <td>1.514279e+09</td>\n",
       "      <td>0.086135</td>\n",
       "      <td>0.220375</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13475</th>\n",
       "      <td>0.832871</td>\n",
       "      <td>0.821496</td>\n",
       "      <td>15400</td>\n",
       "      <td>1.514279e+09</td>\n",
       "      <td>0.086257</td>\n",
       "      <td>0.218698</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13562</th>\n",
       "      <td>0.833760</td>\n",
       "      <td>0.823915</td>\n",
       "      <td>15500</td>\n",
       "      <td>1.514279e+09</td>\n",
       "      <td>0.085486</td>\n",
       "      <td>0.219851</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13650</th>\n",
       "      <td>0.834055</td>\n",
       "      <td>0.822010</td>\n",
       "      <td>15600</td>\n",
       "      <td>1.514279e+09</td>\n",
       "      <td>0.085977</td>\n",
       "      <td>0.214139</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13737</th>\n",
       "      <td>0.830928</td>\n",
       "      <td>0.814308</td>\n",
       "      <td>15700</td>\n",
       "      <td>1.514279e+09</td>\n",
       "      <td>0.087769</td>\n",
       "      <td>0.224315</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13825</th>\n",
       "      <td>0.831544</td>\n",
       "      <td>0.821474</td>\n",
       "      <td>15800</td>\n",
       "      <td>1.514279e+09</td>\n",
       "      <td>0.087681</td>\n",
       "      <td>0.221732</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13912</th>\n",
       "      <td>0.824302</td>\n",
       "      <td>0.809410</td>\n",
       "      <td>15900</td>\n",
       "      <td>1.514279e+09</td>\n",
       "      <td>0.091728</td>\n",
       "      <td>0.233284</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14000</th>\n",
       "      <td>0.825650</td>\n",
       "      <td>0.809971</td>\n",
       "      <td>16000</td>\n",
       "      <td>1.514280e+09</td>\n",
       "      <td>0.091131</td>\n",
       "      <td>0.237124</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14087</th>\n",
       "      <td>0.831926</td>\n",
       "      <td>0.816849</td>\n",
       "      <td>16100</td>\n",
       "      <td>1.514280e+09</td>\n",
       "      <td>0.087087</td>\n",
       "      <td>0.220921</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14175</th>\n",
       "      <td>0.833264</td>\n",
       "      <td>0.822449</td>\n",
       "      <td>16200</td>\n",
       "      <td>1.514280e+09</td>\n",
       "      <td>0.085910</td>\n",
       "      <td>0.218882</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14262</th>\n",
       "      <td>0.832888</td>\n",
       "      <td>0.819444</td>\n",
       "      <td>16300</td>\n",
       "      <td>1.514280e+09</td>\n",
       "      <td>0.086770</td>\n",
       "      <td>0.222712</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14301</th>\n",
       "      <td>0.836191</td>\n",
       "      <td>0.819823</td>\n",
       "      <td>16344</td>\n",
       "      <td>1.514280e+09</td>\n",
       "      <td>0.084618</td>\n",
       "      <td>0.215807</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14350</th>\n",
       "      <td>0.857376</td>\n",
       "      <td>0.848747</td>\n",
       "      <td>16400</td>\n",
       "      <td>1.514280e+09</td>\n",
       "      <td>0.073327</td>\n",
       "      <td>0.179595</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14437</th>\n",
       "      <td>0.847329</td>\n",
       "      <td>0.833584</td>\n",
       "      <td>16500</td>\n",
       "      <td>1.514280e+09</td>\n",
       "      <td>0.079248</td>\n",
       "      <td>0.188162</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14525</th>\n",
       "      <td>0.844188</td>\n",
       "      <td>0.832363</td>\n",
       "      <td>16600</td>\n",
       "      <td>1.514280e+09</td>\n",
       "      <td>0.080992</td>\n",
       "      <td>0.198393</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14612</th>\n",
       "      <td>0.846883</td>\n",
       "      <td>0.829935</td>\n",
       "      <td>16700</td>\n",
       "      <td>1.514280e+09</td>\n",
       "      <td>0.079590</td>\n",
       "      <td>0.194437</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14700</th>\n",
       "      <td>0.842098</td>\n",
       "      <td>0.828630</td>\n",
       "      <td>16800</td>\n",
       "      <td>1.514280e+09</td>\n",
       "      <td>0.081663</td>\n",
       "      <td>0.198166</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14787</th>\n",
       "      <td>0.844670</td>\n",
       "      <td>0.831166</td>\n",
       "      <td>16900</td>\n",
       "      <td>1.514280e+09</td>\n",
       "      <td>0.080664</td>\n",
       "      <td>0.192783</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14875</th>\n",
       "      <td>0.846269</td>\n",
       "      <td>0.836159</td>\n",
       "      <td>17000</td>\n",
       "      <td>1.514281e+09</td>\n",
       "      <td>0.079167</td>\n",
       "      <td>0.191255</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14962</th>\n",
       "      <td>0.845526</td>\n",
       "      <td>0.828271</td>\n",
       "      <td>17100</td>\n",
       "      <td>1.514281e+09</td>\n",
       "      <td>0.080686</td>\n",
       "      <td>0.195531</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15050</th>\n",
       "      <td>0.841188</td>\n",
       "      <td>0.830297</td>\n",
       "      <td>17200</td>\n",
       "      <td>1.514281e+09</td>\n",
       "      <td>0.082655</td>\n",
       "      <td>0.199397</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15137</th>\n",
       "      <td>0.849195</td>\n",
       "      <td>0.838704</td>\n",
       "      <td>17300</td>\n",
       "      <td>1.514281e+09</td>\n",
       "      <td>0.078003</td>\n",
       "      <td>0.183058</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15225</th>\n",
       "      <td>0.844585</td>\n",
       "      <td>0.834746</td>\n",
       "      <td>17400</td>\n",
       "      <td>1.514281e+09</td>\n",
       "      <td>0.080722</td>\n",
       "      <td>0.191071</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15312</th>\n",
       "      <td>0.848608</td>\n",
       "      <td>0.838427</td>\n",
       "      <td>17500</td>\n",
       "      <td>1.514281e+09</td>\n",
       "      <td>0.078748</td>\n",
       "      <td>0.191234</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15400</th>\n",
       "      <td>0.845083</td>\n",
       "      <td>0.834703</td>\n",
       "      <td>17600</td>\n",
       "      <td>1.514281e+09</td>\n",
       "      <td>0.080682</td>\n",
       "      <td>0.193198</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15487</th>\n",
       "      <td>0.850289</td>\n",
       "      <td>0.835960</td>\n",
       "      <td>17700</td>\n",
       "      <td>1.514281e+09</td>\n",
       "      <td>0.077330</td>\n",
       "      <td>0.185777</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15575</th>\n",
       "      <td>0.848153</td>\n",
       "      <td>0.831070</td>\n",
       "      <td>17800</td>\n",
       "      <td>1.514281e+09</td>\n",
       "      <td>0.078780</td>\n",
       "      <td>0.188689</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15662</th>\n",
       "      <td>0.844915</td>\n",
       "      <td>0.831052</td>\n",
       "      <td>17900</td>\n",
       "      <td>1.514281e+09</td>\n",
       "      <td>0.080610</td>\n",
       "      <td>0.195261</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15750</th>\n",
       "      <td>0.842246</td>\n",
       "      <td>0.830835</td>\n",
       "      <td>18000</td>\n",
       "      <td>1.514281e+09</td>\n",
       "      <td>0.082068</td>\n",
       "      <td>0.198709</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15837</th>\n",
       "      <td>0.851382</td>\n",
       "      <td>0.841596</td>\n",
       "      <td>18100</td>\n",
       "      <td>1.514282e+09</td>\n",
       "      <td>0.076800</td>\n",
       "      <td>0.180954</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15925</th>\n",
       "      <td>0.848195</td>\n",
       "      <td>0.835860</td>\n",
       "      <td>18200</td>\n",
       "      <td>1.514282e+09</td>\n",
       "      <td>0.078438</td>\n",
       "      <td>0.186814</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16012</th>\n",
       "      <td>0.843780</td>\n",
       "      <td>0.827367</td>\n",
       "      <td>18300</td>\n",
       "      <td>1.514282e+09</td>\n",
       "      <td>0.081172</td>\n",
       "      <td>0.194193</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16088</th>\n",
       "      <td>0.856842</td>\n",
       "      <td>0.846431</td>\n",
       "      <td>18387</td>\n",
       "      <td>1.514282e+09</td>\n",
       "      <td>0.073974</td>\n",
       "      <td>0.172446</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16100</th>\n",
       "      <td>0.872018</td>\n",
       "      <td>0.864938</td>\n",
       "      <td>18400</td>\n",
       "      <td>1.514282e+09</td>\n",
       "      <td>0.065851</td>\n",
       "      <td>0.145455</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16187</th>\n",
       "      <td>0.857234</td>\n",
       "      <td>0.841426</td>\n",
       "      <td>18500</td>\n",
       "      <td>1.514282e+09</td>\n",
       "      <td>0.074137</td>\n",
       "      <td>0.166728</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16275</th>\n",
       "      <td>0.856600</td>\n",
       "      <td>0.846436</td>\n",
       "      <td>18600</td>\n",
       "      <td>1.514282e+09</td>\n",
       "      <td>0.075081</td>\n",
       "      <td>0.169314</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16362</th>\n",
       "      <td>0.854097</td>\n",
       "      <td>0.843036</td>\n",
       "      <td>18700</td>\n",
       "      <td>1.514282e+09</td>\n",
       "      <td>0.076043</td>\n",
       "      <td>0.178564</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16450</th>\n",
       "      <td>0.856301</td>\n",
       "      <td>0.844508</td>\n",
       "      <td>18800</td>\n",
       "      <td>1.514282e+09</td>\n",
       "      <td>0.074840</td>\n",
       "      <td>0.165332</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16537</th>\n",
       "      <td>0.854987</td>\n",
       "      <td>0.844944</td>\n",
       "      <td>18900</td>\n",
       "      <td>1.514282e+09</td>\n",
       "      <td>0.075424</td>\n",
       "      <td>0.175463</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16625</th>\n",
       "      <td>0.861295</td>\n",
       "      <td>0.847644</td>\n",
       "      <td>19000</td>\n",
       "      <td>1.514282e+09</td>\n",
       "      <td>0.072330</td>\n",
       "      <td>0.163247</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16712</th>\n",
       "      <td>0.858317</td>\n",
       "      <td>0.846846</td>\n",
       "      <td>19100</td>\n",
       "      <td>1.514283e+09</td>\n",
       "      <td>0.073457</td>\n",
       "      <td>0.164224</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16800</th>\n",
       "      <td>0.854807</td>\n",
       "      <td>0.837475</td>\n",
       "      <td>19200</td>\n",
       "      <td>1.514283e+09</td>\n",
       "      <td>0.075986</td>\n",
       "      <td>0.175495</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16887</th>\n",
       "      <td>0.860334</td>\n",
       "      <td>0.849049</td>\n",
       "      <td>19300</td>\n",
       "      <td>1.514283e+09</td>\n",
       "      <td>0.072440</td>\n",
       "      <td>0.160007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16975</th>\n",
       "      <td>0.852022</td>\n",
       "      <td>0.841291</td>\n",
       "      <td>19400</td>\n",
       "      <td>1.514283e+09</td>\n",
       "      <td>0.077637</td>\n",
       "      <td>0.186593</td>\n",
       "      <td>0.848859</td>\n",
       "      <td>0.089177</td>\n",
       "      <td>0.852130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17062</th>\n",
       "      <td>0.858445</td>\n",
       "      <td>0.846593</td>\n",
       "      <td>19500</td>\n",
       "      <td>1.514283e+09</td>\n",
       "      <td>0.073797</td>\n",
       "      <td>0.172461</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17150</th>\n",
       "      <td>0.860070</td>\n",
       "      <td>0.845769</td>\n",
       "      <td>19600</td>\n",
       "      <td>1.514283e+09</td>\n",
       "      <td>0.072748</td>\n",
       "      <td>0.165424</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17237</th>\n",
       "      <td>0.853530</td>\n",
       "      <td>0.839846</td>\n",
       "      <td>19700</td>\n",
       "      <td>1.514283e+09</td>\n",
       "      <td>0.076491</td>\n",
       "      <td>0.177011</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17325</th>\n",
       "      <td>0.858872</td>\n",
       "      <td>0.849106</td>\n",
       "      <td>19800</td>\n",
       "      <td>1.514283e+09</td>\n",
       "      <td>0.073340</td>\n",
       "      <td>0.162572</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17412</th>\n",
       "      <td>0.865026</td>\n",
       "      <td>0.853594</td>\n",
       "      <td>19900</td>\n",
       "      <td>1.514283e+09</td>\n",
       "      <td>0.070120</td>\n",
       "      <td>0.156597</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17500</th>\n",
       "      <td>0.859018</td>\n",
       "      <td>0.847673</td>\n",
       "      <td>20000</td>\n",
       "      <td>1.514284e+09</td>\n",
       "      <td>0.073402</td>\n",
       "      <td>0.162245</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17587</th>\n",
       "      <td>0.862833</td>\n",
       "      <td>0.855291</td>\n",
       "      <td>20100</td>\n",
       "      <td>1.514284e+09</td>\n",
       "      <td>0.070951</td>\n",
       "      <td>0.155987</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17675</th>\n",
       "      <td>0.860928</td>\n",
       "      <td>0.849407</td>\n",
       "      <td>20200</td>\n",
       "      <td>1.514284e+09</td>\n",
       "      <td>0.072111</td>\n",
       "      <td>0.158720</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17762</th>\n",
       "      <td>0.858459</td>\n",
       "      <td>0.845137</td>\n",
       "      <td>20300</td>\n",
       "      <td>1.514284e+09</td>\n",
       "      <td>0.073387</td>\n",
       "      <td>0.164160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17850</th>\n",
       "      <td>0.862119</td>\n",
       "      <td>0.849675</td>\n",
       "      <td>20400</td>\n",
       "      <td>1.514284e+09</td>\n",
       "      <td>0.071448</td>\n",
       "      <td>0.162069</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17876</th>\n",
       "      <td>0.855867</td>\n",
       "      <td>0.847897</td>\n",
       "      <td>20430</td>\n",
       "      <td>1.514284e+09</td>\n",
       "      <td>0.074689</td>\n",
       "      <td>0.166060</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17937</th>\n",
       "      <td>0.864076</td>\n",
       "      <td>0.852719</td>\n",
       "      <td>20500</td>\n",
       "      <td>1.514284e+09</td>\n",
       "      <td>0.071347</td>\n",
       "      <td>0.153407</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18025</th>\n",
       "      <td>0.865052</td>\n",
       "      <td>0.852973</td>\n",
       "      <td>20600</td>\n",
       "      <td>1.514284e+09</td>\n",
       "      <td>0.070768</td>\n",
       "      <td>0.146950</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18112</th>\n",
       "      <td>0.866211</td>\n",
       "      <td>0.855259</td>\n",
       "      <td>20700</td>\n",
       "      <td>1.514284e+09</td>\n",
       "      <td>0.069584</td>\n",
       "      <td>0.151602</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18200</th>\n",
       "      <td>0.865665</td>\n",
       "      <td>0.854805</td>\n",
       "      <td>20800</td>\n",
       "      <td>1.514284e+09</td>\n",
       "      <td>0.070203</td>\n",
       "      <td>0.149704</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18287</th>\n",
       "      <td>0.870592</td>\n",
       "      <td>0.858856</td>\n",
       "      <td>20900</td>\n",
       "      <td>1.514284e+09</td>\n",
       "      <td>0.067305</td>\n",
       "      <td>0.147222</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18375</th>\n",
       "      <td>0.862172</td>\n",
       "      <td>0.850706</td>\n",
       "      <td>21000</td>\n",
       "      <td>1.514285e+09</td>\n",
       "      <td>0.072140</td>\n",
       "      <td>0.156591</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18462</th>\n",
       "      <td>0.864418</td>\n",
       "      <td>0.852212</td>\n",
       "      <td>21100</td>\n",
       "      <td>1.514285e+09</td>\n",
       "      <td>0.071055</td>\n",
       "      <td>0.155249</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18550</th>\n",
       "      <td>0.868331</td>\n",
       "      <td>0.855322</td>\n",
       "      <td>21200</td>\n",
       "      <td>1.514285e+09</td>\n",
       "      <td>0.068634</td>\n",
       "      <td>0.143123</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18637</th>\n",
       "      <td>0.869103</td>\n",
       "      <td>0.858832</td>\n",
       "      <td>21300</td>\n",
       "      <td>1.514285e+09</td>\n",
       "      <td>0.068171</td>\n",
       "      <td>0.143220</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18725</th>\n",
       "      <td>0.870889</td>\n",
       "      <td>0.857977</td>\n",
       "      <td>21400</td>\n",
       "      <td>1.514285e+09</td>\n",
       "      <td>0.067182</td>\n",
       "      <td>0.141784</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18812</th>\n",
       "      <td>0.864497</td>\n",
       "      <td>0.851362</td>\n",
       "      <td>21500</td>\n",
       "      <td>1.514285e+09</td>\n",
       "      <td>0.070841</td>\n",
       "      <td>0.149663</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18900</th>\n",
       "      <td>0.870085</td>\n",
       "      <td>0.858619</td>\n",
       "      <td>21600</td>\n",
       "      <td>1.514285e+09</td>\n",
       "      <td>0.067834</td>\n",
       "      <td>0.144384</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18987</th>\n",
       "      <td>0.871406</td>\n",
       "      <td>0.862240</td>\n",
       "      <td>21700</td>\n",
       "      <td>1.514285e+09</td>\n",
       "      <td>0.067058</td>\n",
       "      <td>0.137862</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19075</th>\n",
       "      <td>0.870841</td>\n",
       "      <td>0.861926</td>\n",
       "      <td>21800</td>\n",
       "      <td>1.514285e+09</td>\n",
       "      <td>0.066810</td>\n",
       "      <td>0.139261</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19162</th>\n",
       "      <td>0.866570</td>\n",
       "      <td>0.854747</td>\n",
       "      <td>21900</td>\n",
       "      <td>1.514285e+09</td>\n",
       "      <td>0.069532</td>\n",
       "      <td>0.146777</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19250</th>\n",
       "      <td>0.869398</td>\n",
       "      <td>0.860149</td>\n",
       "      <td>22000</td>\n",
       "      <td>1.514285e+09</td>\n",
       "      <td>0.067707</td>\n",
       "      <td>0.144302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19337</th>\n",
       "      <td>0.870568</td>\n",
       "      <td>0.859562</td>\n",
       "      <td>22100</td>\n",
       "      <td>1.514286e+09</td>\n",
       "      <td>0.067308</td>\n",
       "      <td>0.143180</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19425</th>\n",
       "      <td>0.871529</td>\n",
       "      <td>0.862714</td>\n",
       "      <td>22200</td>\n",
       "      <td>1.514286e+09</td>\n",
       "      <td>0.066482</td>\n",
       "      <td>0.140798</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19512</th>\n",
       "      <td>0.860228</td>\n",
       "      <td>0.846502</td>\n",
       "      <td>22300</td>\n",
       "      <td>1.514286e+09</td>\n",
       "      <td>0.073784</td>\n",
       "      <td>0.167837</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19600</th>\n",
       "      <td>0.866397</td>\n",
       "      <td>0.855245</td>\n",
       "      <td>22400</td>\n",
       "      <td>1.514286e+09</td>\n",
       "      <td>0.069698</td>\n",
       "      <td>0.149828</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19663</th>\n",
       "      <td>0.873068</td>\n",
       "      <td>0.863178</td>\n",
       "      <td>22472</td>\n",
       "      <td>1.514286e+09</td>\n",
       "      <td>0.066027</td>\n",
       "      <td>0.138022</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19687</th>\n",
       "      <td>0.884014</td>\n",
       "      <td>0.877670</td>\n",
       "      <td>22500</td>\n",
       "      <td>1.514286e+09</td>\n",
       "      <td>0.060830</td>\n",
       "      <td>0.122096</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19775</th>\n",
       "      <td>0.875994</td>\n",
       "      <td>0.864706</td>\n",
       "      <td>22600</td>\n",
       "      <td>1.514286e+09</td>\n",
       "      <td>0.064769</td>\n",
       "      <td>0.128176</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19862</th>\n",
       "      <td>0.877279</td>\n",
       "      <td>0.865071</td>\n",
       "      <td>22700</td>\n",
       "      <td>1.514286e+09</td>\n",
       "      <td>0.064292</td>\n",
       "      <td>0.127243</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19950</th>\n",
       "      <td>0.875140</td>\n",
       "      <td>0.864333</td>\n",
       "      <td>22800</td>\n",
       "      <td>1.514286e+09</td>\n",
       "      <td>0.065541</td>\n",
       "      <td>0.127881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20037</th>\n",
       "      <td>0.872953</td>\n",
       "      <td>0.862238</td>\n",
       "      <td>22900</td>\n",
       "      <td>1.514286e+09</td>\n",
       "      <td>0.066701</td>\n",
       "      <td>0.137487</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20125</th>\n",
       "      <td>0.877745</td>\n",
       "      <td>0.866314</td>\n",
       "      <td>23000</td>\n",
       "      <td>1.514286e+09</td>\n",
       "      <td>0.064006</td>\n",
       "      <td>0.127924</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20212</th>\n",
       "      <td>0.875652</td>\n",
       "      <td>0.864975</td>\n",
       "      <td>23100</td>\n",
       "      <td>1.514286e+09</td>\n",
       "      <td>0.064622</td>\n",
       "      <td>0.130773</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20300</th>\n",
       "      <td>0.874156</td>\n",
       "      <td>0.861942</td>\n",
       "      <td>23200</td>\n",
       "      <td>1.514287e+09</td>\n",
       "      <td>0.065678</td>\n",
       "      <td>0.133570</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20387</th>\n",
       "      <td>0.878411</td>\n",
       "      <td>0.866845</td>\n",
       "      <td>23300</td>\n",
       "      <td>1.514287e+09</td>\n",
       "      <td>0.063639</td>\n",
       "      <td>0.124244</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20475</th>\n",
       "      <td>0.874893</td>\n",
       "      <td>0.865559</td>\n",
       "      <td>23400</td>\n",
       "      <td>1.514287e+09</td>\n",
       "      <td>0.065448</td>\n",
       "      <td>0.131469</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20562</th>\n",
       "      <td>0.878204</td>\n",
       "      <td>0.870267</td>\n",
       "      <td>23500</td>\n",
       "      <td>1.514287e+09</td>\n",
       "      <td>0.063812</td>\n",
       "      <td>0.126959</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20650</th>\n",
       "      <td>0.874435</td>\n",
       "      <td>0.860836</td>\n",
       "      <td>23600</td>\n",
       "      <td>1.514287e+09</td>\n",
       "      <td>0.065981</td>\n",
       "      <td>0.135300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20737</th>\n",
       "      <td>0.875278</td>\n",
       "      <td>0.865201</td>\n",
       "      <td>23700</td>\n",
       "      <td>1.514287e+09</td>\n",
       "      <td>0.065168</td>\n",
       "      <td>0.128757</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20825</th>\n",
       "      <td>0.871810</td>\n",
       "      <td>0.861256</td>\n",
       "      <td>23800</td>\n",
       "      <td>1.514287e+09</td>\n",
       "      <td>0.067179</td>\n",
       "      <td>0.134535</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20912</th>\n",
       "      <td>0.869016</td>\n",
       "      <td>0.856547</td>\n",
       "      <td>23900</td>\n",
       "      <td>1.514287e+09</td>\n",
       "      <td>0.068823</td>\n",
       "      <td>0.141349</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21000</th>\n",
       "      <td>0.876910</td>\n",
       "      <td>0.869627</td>\n",
       "      <td>24000</td>\n",
       "      <td>1.514287e+09</td>\n",
       "      <td>0.064143</td>\n",
       "      <td>0.126005</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21087</th>\n",
       "      <td>0.875894</td>\n",
       "      <td>0.865573</td>\n",
       "      <td>24100</td>\n",
       "      <td>1.514287e+09</td>\n",
       "      <td>0.064608</td>\n",
       "      <td>0.126463</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21175</th>\n",
       "      <td>0.871387</td>\n",
       "      <td>0.857064</td>\n",
       "      <td>24200</td>\n",
       "      <td>1.514288e+09</td>\n",
       "      <td>0.067682</td>\n",
       "      <td>0.139500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21262</th>\n",
       "      <td>0.871151</td>\n",
       "      <td>0.856831</td>\n",
       "      <td>24300</td>\n",
       "      <td>1.514288e+09</td>\n",
       "      <td>0.067883</td>\n",
       "      <td>0.138967</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21350</th>\n",
       "      <td>0.878314</td>\n",
       "      <td>0.868459</td>\n",
       "      <td>24400</td>\n",
       "      <td>1.514288e+09</td>\n",
       "      <td>0.063430</td>\n",
       "      <td>0.127222</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21437</th>\n",
       "      <td>0.874389</td>\n",
       "      <td>0.861394</td>\n",
       "      <td>24500</td>\n",
       "      <td>1.514288e+09</td>\n",
       "      <td>0.066045</td>\n",
       "      <td>0.136881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21451</th>\n",
       "      <td>0.857439</td>\n",
       "      <td>0.840937</td>\n",
       "      <td>24516</td>\n",
       "      <td>1.514288e+09</td>\n",
       "      <td>0.074822</td>\n",
       "      <td>0.160002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21525</th>\n",
       "      <td>0.880909</td>\n",
       "      <td>0.869084</td>\n",
       "      <td>24600</td>\n",
       "      <td>1.514288e+09</td>\n",
       "      <td>0.062516</td>\n",
       "      <td>0.121405</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21612</th>\n",
       "      <td>0.889117</td>\n",
       "      <td>0.880327</td>\n",
       "      <td>24700</td>\n",
       "      <td>1.514288e+09</td>\n",
       "      <td>0.058145</td>\n",
       "      <td>0.106715</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21700</th>\n",
       "      <td>0.882240</td>\n",
       "      <td>0.870097</td>\n",
       "      <td>24800</td>\n",
       "      <td>1.514288e+09</td>\n",
       "      <td>0.061732</td>\n",
       "      <td>0.120962</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21787</th>\n",
       "      <td>0.886442</td>\n",
       "      <td>0.877326</td>\n",
       "      <td>24900</td>\n",
       "      <td>1.514288e+09</td>\n",
       "      <td>0.059577</td>\n",
       "      <td>0.113193</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21875</th>\n",
       "      <td>0.886194</td>\n",
       "      <td>0.875998</td>\n",
       "      <td>25000</td>\n",
       "      <td>1.514288e+09</td>\n",
       "      <td>0.059906</td>\n",
       "      <td>0.111306</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21962</th>\n",
       "      <td>0.880743</td>\n",
       "      <td>0.866917</td>\n",
       "      <td>25100</td>\n",
       "      <td>1.514288e+09</td>\n",
       "      <td>0.062589</td>\n",
       "      <td>0.118900</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22050</th>\n",
       "      <td>0.877420</td>\n",
       "      <td>0.864801</td>\n",
       "      <td>25200</td>\n",
       "      <td>1.514288e+09</td>\n",
       "      <td>0.064652</td>\n",
       "      <td>0.124975</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22137</th>\n",
       "      <td>0.879995</td>\n",
       "      <td>0.868708</td>\n",
       "      <td>25300</td>\n",
       "      <td>1.514289e+09</td>\n",
       "      <td>0.062998</td>\n",
       "      <td>0.118357</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22225</th>\n",
       "      <td>0.878978</td>\n",
       "      <td>0.869455</td>\n",
       "      <td>25400</td>\n",
       "      <td>1.514289e+09</td>\n",
       "      <td>0.063568</td>\n",
       "      <td>0.119201</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22312</th>\n",
       "      <td>0.876953</td>\n",
       "      <td>0.863994</td>\n",
       "      <td>25500</td>\n",
       "      <td>1.514289e+09</td>\n",
       "      <td>0.064397</td>\n",
       "      <td>0.126428</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22400</th>\n",
       "      <td>0.883764</td>\n",
       "      <td>0.870942</td>\n",
       "      <td>25600</td>\n",
       "      <td>1.514289e+09</td>\n",
       "      <td>0.060852</td>\n",
       "      <td>0.116682</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22487</th>\n",
       "      <td>0.879785</td>\n",
       "      <td>0.870454</td>\n",
       "      <td>25700</td>\n",
       "      <td>1.514289e+09</td>\n",
       "      <td>0.063390</td>\n",
       "      <td>0.119596</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22575</th>\n",
       "      <td>0.883495</td>\n",
       "      <td>0.875079</td>\n",
       "      <td>25800</td>\n",
       "      <td>1.514289e+09</td>\n",
       "      <td>0.060923</td>\n",
       "      <td>0.112200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22662</th>\n",
       "      <td>0.881962</td>\n",
       "      <td>0.869956</td>\n",
       "      <td>25900</td>\n",
       "      <td>1.514289e+09</td>\n",
       "      <td>0.061818</td>\n",
       "      <td>0.115743</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22750</th>\n",
       "      <td>0.880369</td>\n",
       "      <td>0.872245</td>\n",
       "      <td>26000</td>\n",
       "      <td>1.514289e+09</td>\n",
       "      <td>0.062698</td>\n",
       "      <td>0.116040</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22837</th>\n",
       "      <td>0.880649</td>\n",
       "      <td>0.869218</td>\n",
       "      <td>26100</td>\n",
       "      <td>1.514289e+09</td>\n",
       "      <td>0.062522</td>\n",
       "      <td>0.118721</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22925</th>\n",
       "      <td>0.879865</td>\n",
       "      <td>0.869868</td>\n",
       "      <td>26200</td>\n",
       "      <td>1.514289e+09</td>\n",
       "      <td>0.062925</td>\n",
       "      <td>0.119573</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23012</th>\n",
       "      <td>0.876711</td>\n",
       "      <td>0.865251</td>\n",
       "      <td>26300</td>\n",
       "      <td>1.514289e+09</td>\n",
       "      <td>0.064721</td>\n",
       "      <td>0.124165</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23100</th>\n",
       "      <td>0.878693</td>\n",
       "      <td>0.868079</td>\n",
       "      <td>26400</td>\n",
       "      <td>1.514290e+09</td>\n",
       "      <td>0.064098</td>\n",
       "      <td>0.120040</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23187</th>\n",
       "      <td>0.876049</td>\n",
       "      <td>0.867041</td>\n",
       "      <td>26500</td>\n",
       "      <td>1.514290e+09</td>\n",
       "      <td>0.065314</td>\n",
       "      <td>0.125011</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23239</th>\n",
       "      <td>0.877509</td>\n",
       "      <td>0.866735</td>\n",
       "      <td>26559</td>\n",
       "      <td>1.514290e+09</td>\n",
       "      <td>0.064536</td>\n",
       "      <td>0.125904</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23275</th>\n",
       "      <td>0.886335</td>\n",
       "      <td>0.871980</td>\n",
       "      <td>26600</td>\n",
       "      <td>1.514290e+09</td>\n",
       "      <td>0.060076</td>\n",
       "      <td>0.110656</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23362</th>\n",
       "      <td>0.883778</td>\n",
       "      <td>0.875521</td>\n",
       "      <td>26700</td>\n",
       "      <td>1.514290e+09</td>\n",
       "      <td>0.061436</td>\n",
       "      <td>0.108899</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23450</th>\n",
       "      <td>0.884858</td>\n",
       "      <td>0.876360</td>\n",
       "      <td>26800</td>\n",
       "      <td>1.514290e+09</td>\n",
       "      <td>0.060733</td>\n",
       "      <td>0.108866</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23537</th>\n",
       "      <td>0.887643</td>\n",
       "      <td>0.876913</td>\n",
       "      <td>26900</td>\n",
       "      <td>1.514290e+09</td>\n",
       "      <td>0.059235</td>\n",
       "      <td>0.106193</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23625</th>\n",
       "      <td>0.889850</td>\n",
       "      <td>0.880345</td>\n",
       "      <td>27000</td>\n",
       "      <td>1.514290e+09</td>\n",
       "      <td>0.058037</td>\n",
       "      <td>0.103158</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23712</th>\n",
       "      <td>0.889089</td>\n",
       "      <td>0.878097</td>\n",
       "      <td>27100</td>\n",
       "      <td>1.514290e+09</td>\n",
       "      <td>0.058434</td>\n",
       "      <td>0.104845</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23800</th>\n",
       "      <td>0.881684</td>\n",
       "      <td>0.869962</td>\n",
       "      <td>27200</td>\n",
       "      <td>1.514290e+09</td>\n",
       "      <td>0.062435</td>\n",
       "      <td>0.116543</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23887</th>\n",
       "      <td>0.889414</td>\n",
       "      <td>0.880876</td>\n",
       "      <td>27300</td>\n",
       "      <td>1.514290e+09</td>\n",
       "      <td>0.057876</td>\n",
       "      <td>0.103763</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23975</th>\n",
       "      <td>0.886890</td>\n",
       "      <td>0.877753</td>\n",
       "      <td>27400</td>\n",
       "      <td>1.514291e+09</td>\n",
       "      <td>0.059606</td>\n",
       "      <td>0.106351</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24062</th>\n",
       "      <td>0.886099</td>\n",
       "      <td>0.875212</td>\n",
       "      <td>27500</td>\n",
       "      <td>1.514291e+09</td>\n",
       "      <td>0.060266</td>\n",
       "      <td>0.108035</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24150</th>\n",
       "      <td>0.884508</td>\n",
       "      <td>0.872081</td>\n",
       "      <td>27600</td>\n",
       "      <td>1.514291e+09</td>\n",
       "      <td>0.060762</td>\n",
       "      <td>0.112719</td>\n",
       "      <td>0.872262</td>\n",
       "      <td>0.076264</td>\n",
       "      <td>0.873597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24237</th>\n",
       "      <td>0.884518</td>\n",
       "      <td>0.874229</td>\n",
       "      <td>27700</td>\n",
       "      <td>1.514291e+09</td>\n",
       "      <td>0.060856</td>\n",
       "      <td>0.112106</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24325</th>\n",
       "      <td>0.887623</td>\n",
       "      <td>0.876288</td>\n",
       "      <td>27800</td>\n",
       "      <td>1.514291e+09</td>\n",
       "      <td>0.059178</td>\n",
       "      <td>0.105653</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24412</th>\n",
       "      <td>0.882586</td>\n",
       "      <td>0.871778</td>\n",
       "      <td>27900</td>\n",
       "      <td>1.514291e+09</td>\n",
       "      <td>0.061988</td>\n",
       "      <td>0.114170</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24500</th>\n",
       "      <td>0.881597</td>\n",
       "      <td>0.870744</td>\n",
       "      <td>28000</td>\n",
       "      <td>1.514291e+09</td>\n",
       "      <td>0.062622</td>\n",
       "      <td>0.113877</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24587</th>\n",
       "      <td>0.888670</td>\n",
       "      <td>0.880897</td>\n",
       "      <td>28100</td>\n",
       "      <td>1.514291e+09</td>\n",
       "      <td>0.058602</td>\n",
       "      <td>0.102348</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24675</th>\n",
       "      <td>0.889629</td>\n",
       "      <td>0.881682</td>\n",
       "      <td>28200</td>\n",
       "      <td>1.514292e+09</td>\n",
       "      <td>0.057373</td>\n",
       "      <td>0.105808</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24762</th>\n",
       "      <td>0.885977</td>\n",
       "      <td>0.875019</td>\n",
       "      <td>28300</td>\n",
       "      <td>1.514292e+09</td>\n",
       "      <td>0.059791</td>\n",
       "      <td>0.111816</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24850</th>\n",
       "      <td>0.885540</td>\n",
       "      <td>0.875755</td>\n",
       "      <td>28400</td>\n",
       "      <td>1.514292e+09</td>\n",
       "      <td>0.060152</td>\n",
       "      <td>0.109791</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24937</th>\n",
       "      <td>0.879658</td>\n",
       "      <td>0.867527</td>\n",
       "      <td>28500</td>\n",
       "      <td>1.514292e+09</td>\n",
       "      <td>0.063770</td>\n",
       "      <td>0.119375</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25025</th>\n",
       "      <td>0.883613</td>\n",
       "      <td>0.873118</td>\n",
       "      <td>28600</td>\n",
       "      <td>1.514292e+09</td>\n",
       "      <td>0.061200</td>\n",
       "      <td>0.112927</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25026</th>\n",
       "      <td>0.864700</td>\n",
       "      <td>0.857945</td>\n",
       "      <td>28602</td>\n",
       "      <td>1.514292e+09</td>\n",
       "      <td>0.072023</td>\n",
       "      <td>0.160389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162225</th>\n",
       "      <td>0.936253</td>\n",
       "      <td>0.931023</td>\n",
       "      <td>185400</td>\n",
       "      <td>1.514465e+09</td>\n",
       "      <td>0.037262</td>\n",
       "      <td>0.017950</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162312</th>\n",
       "      <td>0.937708</td>\n",
       "      <td>0.933206</td>\n",
       "      <td>185500</td>\n",
       "      <td>1.514465e+09</td>\n",
       "      <td>0.036278</td>\n",
       "      <td>0.014013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162400</th>\n",
       "      <td>0.938840</td>\n",
       "      <td>0.933849</td>\n",
       "      <td>185600</td>\n",
       "      <td>1.514465e+09</td>\n",
       "      <td>0.035679</td>\n",
       "      <td>0.013831</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162487</th>\n",
       "      <td>0.937895</td>\n",
       "      <td>0.934395</td>\n",
       "      <td>185700</td>\n",
       "      <td>1.514465e+09</td>\n",
       "      <td>0.036284</td>\n",
       "      <td>0.012843</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162575</th>\n",
       "      <td>0.938727</td>\n",
       "      <td>0.933948</td>\n",
       "      <td>185800</td>\n",
       "      <td>1.514465e+09</td>\n",
       "      <td>0.035938</td>\n",
       "      <td>0.013071</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162662</th>\n",
       "      <td>0.937366</td>\n",
       "      <td>0.932006</td>\n",
       "      <td>185900</td>\n",
       "      <td>1.514466e+09</td>\n",
       "      <td>0.036421</td>\n",
       "      <td>0.016063</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162673</th>\n",
       "      <td>0.935902</td>\n",
       "      <td>0.932742</td>\n",
       "      <td>185912</td>\n",
       "      <td>1.514466e+09</td>\n",
       "      <td>0.037566</td>\n",
       "      <td>0.015115</td>\n",
       "      <td>0.887955</td>\n",
       "      <td>0.069345</td>\n",
       "      <td>0.884049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162750</th>\n",
       "      <td>0.938912</td>\n",
       "      <td>0.934965</td>\n",
       "      <td>186000</td>\n",
       "      <td>1.514466e+09</td>\n",
       "      <td>0.035534</td>\n",
       "      <td>0.014920</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162837</th>\n",
       "      <td>0.940580</td>\n",
       "      <td>0.936172</td>\n",
       "      <td>186100</td>\n",
       "      <td>1.514466e+09</td>\n",
       "      <td>0.034773</td>\n",
       "      <td>0.014519</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162925</th>\n",
       "      <td>0.938069</td>\n",
       "      <td>0.932824</td>\n",
       "      <td>186200</td>\n",
       "      <td>1.514466e+09</td>\n",
       "      <td>0.036108</td>\n",
       "      <td>0.014072</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163012</th>\n",
       "      <td>0.936836</td>\n",
       "      <td>0.932605</td>\n",
       "      <td>186300</td>\n",
       "      <td>1.514466e+09</td>\n",
       "      <td>0.036882</td>\n",
       "      <td>0.013170</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163100</th>\n",
       "      <td>0.938383</td>\n",
       "      <td>0.933276</td>\n",
       "      <td>186400</td>\n",
       "      <td>1.514466e+09</td>\n",
       "      <td>0.036213</td>\n",
       "      <td>0.013985</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163187</th>\n",
       "      <td>0.941097</td>\n",
       "      <td>0.935815</td>\n",
       "      <td>186500</td>\n",
       "      <td>1.514466e+09</td>\n",
       "      <td>0.034877</td>\n",
       "      <td>0.013943</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163275</th>\n",
       "      <td>0.937788</td>\n",
       "      <td>0.934194</td>\n",
       "      <td>186600</td>\n",
       "      <td>1.514466e+09</td>\n",
       "      <td>0.036493</td>\n",
       "      <td>0.013852</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163362</th>\n",
       "      <td>0.936534</td>\n",
       "      <td>0.931860</td>\n",
       "      <td>186700</td>\n",
       "      <td>1.514467e+09</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.014495</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163450</th>\n",
       "      <td>0.938962</td>\n",
       "      <td>0.934715</td>\n",
       "      <td>186800</td>\n",
       "      <td>1.514467e+09</td>\n",
       "      <td>0.035551</td>\n",
       "      <td>0.013916</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163537</th>\n",
       "      <td>0.941014</td>\n",
       "      <td>0.937045</td>\n",
       "      <td>186900</td>\n",
       "      <td>1.514467e+09</td>\n",
       "      <td>0.034458</td>\n",
       "      <td>0.014531</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163625</th>\n",
       "      <td>0.939887</td>\n",
       "      <td>0.935727</td>\n",
       "      <td>187000</td>\n",
       "      <td>1.514467e+09</td>\n",
       "      <td>0.035163</td>\n",
       "      <td>0.013068</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163712</th>\n",
       "      <td>0.935358</td>\n",
       "      <td>0.931811</td>\n",
       "      <td>187100</td>\n",
       "      <td>1.514467e+09</td>\n",
       "      <td>0.037612</td>\n",
       "      <td>0.014708</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163800</th>\n",
       "      <td>0.936895</td>\n",
       "      <td>0.931740</td>\n",
       "      <td>187200</td>\n",
       "      <td>1.514467e+09</td>\n",
       "      <td>0.037020</td>\n",
       "      <td>0.014136</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163887</th>\n",
       "      <td>0.938761</td>\n",
       "      <td>0.932161</td>\n",
       "      <td>187300</td>\n",
       "      <td>1.514467e+09</td>\n",
       "      <td>0.035636</td>\n",
       "      <td>0.014671</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163975</th>\n",
       "      <td>0.938611</td>\n",
       "      <td>0.933765</td>\n",
       "      <td>187400</td>\n",
       "      <td>1.514467e+09</td>\n",
       "      <td>0.035894</td>\n",
       "      <td>0.014555</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164062</th>\n",
       "      <td>0.936385</td>\n",
       "      <td>0.932063</td>\n",
       "      <td>187500</td>\n",
       "      <td>1.514467e+09</td>\n",
       "      <td>0.037344</td>\n",
       "      <td>0.014940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164150</th>\n",
       "      <td>0.938724</td>\n",
       "      <td>0.934487</td>\n",
       "      <td>187600</td>\n",
       "      <td>1.514467e+09</td>\n",
       "      <td>0.035890</td>\n",
       "      <td>0.014588</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164237</th>\n",
       "      <td>0.937201</td>\n",
       "      <td>0.933006</td>\n",
       "      <td>187700</td>\n",
       "      <td>1.514467e+09</td>\n",
       "      <td>0.036601</td>\n",
       "      <td>0.014478</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164325</th>\n",
       "      <td>0.936512</td>\n",
       "      <td>0.931421</td>\n",
       "      <td>187800</td>\n",
       "      <td>1.514468e+09</td>\n",
       "      <td>0.036954</td>\n",
       "      <td>0.014412</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164412</th>\n",
       "      <td>0.938395</td>\n",
       "      <td>0.934105</td>\n",
       "      <td>187900</td>\n",
       "      <td>1.514468e+09</td>\n",
       "      <td>0.036075</td>\n",
       "      <td>0.014869</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164461</th>\n",
       "      <td>0.938532</td>\n",
       "      <td>0.933965</td>\n",
       "      <td>187956</td>\n",
       "      <td>1.514468e+09</td>\n",
       "      <td>0.036102</td>\n",
       "      <td>0.015580</td>\n",
       "      <td>0.885860</td>\n",
       "      <td>0.070383</td>\n",
       "      <td>0.882692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164500</th>\n",
       "      <td>0.941226</td>\n",
       "      <td>0.937898</td>\n",
       "      <td>188000</td>\n",
       "      <td>1.514468e+09</td>\n",
       "      <td>0.034434</td>\n",
       "      <td>0.010823</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164587</th>\n",
       "      <td>0.937285</td>\n",
       "      <td>0.933320</td>\n",
       "      <td>188100</td>\n",
       "      <td>1.514468e+09</td>\n",
       "      <td>0.036875</td>\n",
       "      <td>0.013992</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164675</th>\n",
       "      <td>0.940454</td>\n",
       "      <td>0.936431</td>\n",
       "      <td>188200</td>\n",
       "      <td>1.514468e+09</td>\n",
       "      <td>0.034818</td>\n",
       "      <td>0.013496</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164762</th>\n",
       "      <td>0.940942</td>\n",
       "      <td>0.937298</td>\n",
       "      <td>188300</td>\n",
       "      <td>1.514468e+09</td>\n",
       "      <td>0.034450</td>\n",
       "      <td>0.012741</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164850</th>\n",
       "      <td>0.937756</td>\n",
       "      <td>0.932666</td>\n",
       "      <td>188400</td>\n",
       "      <td>1.514468e+09</td>\n",
       "      <td>0.036320</td>\n",
       "      <td>0.014288</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164937</th>\n",
       "      <td>0.937922</td>\n",
       "      <td>0.933229</td>\n",
       "      <td>188500</td>\n",
       "      <td>1.514468e+09</td>\n",
       "      <td>0.036279</td>\n",
       "      <td>0.013931</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165025</th>\n",
       "      <td>0.939520</td>\n",
       "      <td>0.934651</td>\n",
       "      <td>188600</td>\n",
       "      <td>1.514468e+09</td>\n",
       "      <td>0.035330</td>\n",
       "      <td>0.014031</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165112</th>\n",
       "      <td>0.939160</td>\n",
       "      <td>0.934575</td>\n",
       "      <td>188700</td>\n",
       "      <td>1.514469e+09</td>\n",
       "      <td>0.035693</td>\n",
       "      <td>0.013639</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165200</th>\n",
       "      <td>0.937337</td>\n",
       "      <td>0.932966</td>\n",
       "      <td>188800</td>\n",
       "      <td>1.514469e+09</td>\n",
       "      <td>0.036578</td>\n",
       "      <td>0.016399</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165287</th>\n",
       "      <td>0.937785</td>\n",
       "      <td>0.932154</td>\n",
       "      <td>188900</td>\n",
       "      <td>1.514469e+09</td>\n",
       "      <td>0.036386</td>\n",
       "      <td>0.014989</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165375</th>\n",
       "      <td>0.936871</td>\n",
       "      <td>0.932519</td>\n",
       "      <td>189000</td>\n",
       "      <td>1.514469e+09</td>\n",
       "      <td>0.036644</td>\n",
       "      <td>0.014621</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165462</th>\n",
       "      <td>0.939952</td>\n",
       "      <td>0.934385</td>\n",
       "      <td>189100</td>\n",
       "      <td>1.514469e+09</td>\n",
       "      <td>0.034942</td>\n",
       "      <td>0.015039</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165550</th>\n",
       "      <td>0.937461</td>\n",
       "      <td>0.932156</td>\n",
       "      <td>189200</td>\n",
       "      <td>1.514469e+09</td>\n",
       "      <td>0.036561</td>\n",
       "      <td>0.017754</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165637</th>\n",
       "      <td>0.938693</td>\n",
       "      <td>0.933908</td>\n",
       "      <td>189300</td>\n",
       "      <td>1.514469e+09</td>\n",
       "      <td>0.035796</td>\n",
       "      <td>0.014177</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165725</th>\n",
       "      <td>0.937007</td>\n",
       "      <td>0.931704</td>\n",
       "      <td>189400</td>\n",
       "      <td>1.514469e+09</td>\n",
       "      <td>0.037122</td>\n",
       "      <td>0.013384</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165812</th>\n",
       "      <td>0.939157</td>\n",
       "      <td>0.934912</td>\n",
       "      <td>189500</td>\n",
       "      <td>1.514469e+09</td>\n",
       "      <td>0.035767</td>\n",
       "      <td>0.014236</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165900</th>\n",
       "      <td>0.938531</td>\n",
       "      <td>0.934919</td>\n",
       "      <td>189600</td>\n",
       "      <td>1.514469e+09</td>\n",
       "      <td>0.036079</td>\n",
       "      <td>0.013551</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165987</th>\n",
       "      <td>0.937816</td>\n",
       "      <td>0.933136</td>\n",
       "      <td>189700</td>\n",
       "      <td>1.514470e+09</td>\n",
       "      <td>0.036358</td>\n",
       "      <td>0.014685</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166075</th>\n",
       "      <td>0.935905</td>\n",
       "      <td>0.931185</td>\n",
       "      <td>189800</td>\n",
       "      <td>1.514470e+09</td>\n",
       "      <td>0.037511</td>\n",
       "      <td>0.013475</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166162</th>\n",
       "      <td>0.939216</td>\n",
       "      <td>0.933561</td>\n",
       "      <td>189900</td>\n",
       "      <td>1.514470e+09</td>\n",
       "      <td>0.035357</td>\n",
       "      <td>0.015045</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166249</th>\n",
       "      <td>0.936631</td>\n",
       "      <td>0.932785</td>\n",
       "      <td>189999</td>\n",
       "      <td>1.514470e+09</td>\n",
       "      <td>0.036999</td>\n",
       "      <td>0.012982</td>\n",
       "      <td>0.889278</td>\n",
       "      <td>0.067528</td>\n",
       "      <td>0.886662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166250</th>\n",
       "      <td>0.945453</td>\n",
       "      <td>0.945628</td>\n",
       "      <td>190000</td>\n",
       "      <td>1.514470e+09</td>\n",
       "      <td>0.033331</td>\n",
       "      <td>0.010942</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166337</th>\n",
       "      <td>0.940959</td>\n",
       "      <td>0.936371</td>\n",
       "      <td>190100</td>\n",
       "      <td>1.514470e+09</td>\n",
       "      <td>0.034571</td>\n",
       "      <td>0.014832</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166425</th>\n",
       "      <td>0.939987</td>\n",
       "      <td>0.935188</td>\n",
       "      <td>190200</td>\n",
       "      <td>1.514470e+09</td>\n",
       "      <td>0.035159</td>\n",
       "      <td>0.013206</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166512</th>\n",
       "      <td>0.940961</td>\n",
       "      <td>0.935806</td>\n",
       "      <td>190300</td>\n",
       "      <td>1.514470e+09</td>\n",
       "      <td>0.034433</td>\n",
       "      <td>0.013543</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166600</th>\n",
       "      <td>0.938400</td>\n",
       "      <td>0.932898</td>\n",
       "      <td>190400</td>\n",
       "      <td>1.514470e+09</td>\n",
       "      <td>0.035877</td>\n",
       "      <td>0.014464</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166687</th>\n",
       "      <td>0.936824</td>\n",
       "      <td>0.932257</td>\n",
       "      <td>190500</td>\n",
       "      <td>1.514470e+09</td>\n",
       "      <td>0.037084</td>\n",
       "      <td>0.013331</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166775</th>\n",
       "      <td>0.936626</td>\n",
       "      <td>0.933049</td>\n",
       "      <td>190600</td>\n",
       "      <td>1.514471e+09</td>\n",
       "      <td>0.037176</td>\n",
       "      <td>0.013714</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166862</th>\n",
       "      <td>0.940262</td>\n",
       "      <td>0.936731</td>\n",
       "      <td>190700</td>\n",
       "      <td>1.514471e+09</td>\n",
       "      <td>0.035120</td>\n",
       "      <td>0.012321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166950</th>\n",
       "      <td>0.935960</td>\n",
       "      <td>0.930767</td>\n",
       "      <td>190800</td>\n",
       "      <td>1.514471e+09</td>\n",
       "      <td>0.037334</td>\n",
       "      <td>0.014642</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167037</th>\n",
       "      <td>0.938928</td>\n",
       "      <td>0.935048</td>\n",
       "      <td>190900</td>\n",
       "      <td>1.514471e+09</td>\n",
       "      <td>0.035760</td>\n",
       "      <td>0.012541</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167125</th>\n",
       "      <td>0.938955</td>\n",
       "      <td>0.934559</td>\n",
       "      <td>191000</td>\n",
       "      <td>1.514471e+09</td>\n",
       "      <td>0.035702</td>\n",
       "      <td>0.012850</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167212</th>\n",
       "      <td>0.938059</td>\n",
       "      <td>0.932840</td>\n",
       "      <td>191100</td>\n",
       "      <td>1.514471e+09</td>\n",
       "      <td>0.036224</td>\n",
       "      <td>0.013785</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167300</th>\n",
       "      <td>0.938082</td>\n",
       "      <td>0.934502</td>\n",
       "      <td>191200</td>\n",
       "      <td>1.514471e+09</td>\n",
       "      <td>0.036409</td>\n",
       "      <td>0.013199</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167387</th>\n",
       "      <td>0.938241</td>\n",
       "      <td>0.933965</td>\n",
       "      <td>191300</td>\n",
       "      <td>1.514471e+09</td>\n",
       "      <td>0.036146</td>\n",
       "      <td>0.012914</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167475</th>\n",
       "      <td>0.938602</td>\n",
       "      <td>0.933952</td>\n",
       "      <td>191400</td>\n",
       "      <td>1.514471e+09</td>\n",
       "      <td>0.035812</td>\n",
       "      <td>0.014380</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167562</th>\n",
       "      <td>0.940794</td>\n",
       "      <td>0.937328</td>\n",
       "      <td>191500</td>\n",
       "      <td>1.514471e+09</td>\n",
       "      <td>0.034663</td>\n",
       "      <td>0.012676</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167650</th>\n",
       "      <td>0.938002</td>\n",
       "      <td>0.934010</td>\n",
       "      <td>191600</td>\n",
       "      <td>1.514472e+09</td>\n",
       "      <td>0.036160</td>\n",
       "      <td>0.014087</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167737</th>\n",
       "      <td>0.937764</td>\n",
       "      <td>0.933460</td>\n",
       "      <td>191700</td>\n",
       "      <td>1.514472e+09</td>\n",
       "      <td>0.036361</td>\n",
       "      <td>0.014139</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167825</th>\n",
       "      <td>0.939096</td>\n",
       "      <td>0.933494</td>\n",
       "      <td>191800</td>\n",
       "      <td>1.514472e+09</td>\n",
       "      <td>0.035729</td>\n",
       "      <td>0.015129</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167912</th>\n",
       "      <td>0.937293</td>\n",
       "      <td>0.933521</td>\n",
       "      <td>191900</td>\n",
       "      <td>1.514472e+09</td>\n",
       "      <td>0.036771</td>\n",
       "      <td>0.013020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168000</th>\n",
       "      <td>0.938364</td>\n",
       "      <td>0.934338</td>\n",
       "      <td>192000</td>\n",
       "      <td>1.514472e+09</td>\n",
       "      <td>0.036063</td>\n",
       "      <td>0.014335</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168036</th>\n",
       "      <td>0.935366</td>\n",
       "      <td>0.930712</td>\n",
       "      <td>192042</td>\n",
       "      <td>1.514472e+09</td>\n",
       "      <td>0.037625</td>\n",
       "      <td>0.014467</td>\n",
       "      <td>0.888387</td>\n",
       "      <td>0.068815</td>\n",
       "      <td>0.884469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168087</th>\n",
       "      <td>0.938090</td>\n",
       "      <td>0.932489</td>\n",
       "      <td>192100</td>\n",
       "      <td>1.514472e+09</td>\n",
       "      <td>0.035925</td>\n",
       "      <td>0.014953</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168175</th>\n",
       "      <td>0.937599</td>\n",
       "      <td>0.932594</td>\n",
       "      <td>192200</td>\n",
       "      <td>1.514472e+09</td>\n",
       "      <td>0.036381</td>\n",
       "      <td>0.014382</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168262</th>\n",
       "      <td>0.937853</td>\n",
       "      <td>0.933188</td>\n",
       "      <td>192300</td>\n",
       "      <td>1.514472e+09</td>\n",
       "      <td>0.036394</td>\n",
       "      <td>0.014867</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168350</th>\n",
       "      <td>0.938927</td>\n",
       "      <td>0.933914</td>\n",
       "      <td>192400</td>\n",
       "      <td>1.514472e+09</td>\n",
       "      <td>0.035920</td>\n",
       "      <td>0.013700</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168437</th>\n",
       "      <td>0.938499</td>\n",
       "      <td>0.935370</td>\n",
       "      <td>192500</td>\n",
       "      <td>1.514473e+09</td>\n",
       "      <td>0.035875</td>\n",
       "      <td>0.013788</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168525</th>\n",
       "      <td>0.939669</td>\n",
       "      <td>0.935989</td>\n",
       "      <td>192600</td>\n",
       "      <td>1.514473e+09</td>\n",
       "      <td>0.035359</td>\n",
       "      <td>0.013173</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168612</th>\n",
       "      <td>0.940399</td>\n",
       "      <td>0.936234</td>\n",
       "      <td>192700</td>\n",
       "      <td>1.514473e+09</td>\n",
       "      <td>0.034903</td>\n",
       "      <td>0.013129</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168700</th>\n",
       "      <td>0.937492</td>\n",
       "      <td>0.934013</td>\n",
       "      <td>192800</td>\n",
       "      <td>1.514473e+09</td>\n",
       "      <td>0.036618</td>\n",
       "      <td>0.013033</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168787</th>\n",
       "      <td>0.939769</td>\n",
       "      <td>0.935104</td>\n",
       "      <td>192900</td>\n",
       "      <td>1.514473e+09</td>\n",
       "      <td>0.035263</td>\n",
       "      <td>0.013317</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168875</th>\n",
       "      <td>0.940479</td>\n",
       "      <td>0.935206</td>\n",
       "      <td>193000</td>\n",
       "      <td>1.514473e+09</td>\n",
       "      <td>0.034822</td>\n",
       "      <td>0.013813</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168962</th>\n",
       "      <td>0.940308</td>\n",
       "      <td>0.936294</td>\n",
       "      <td>193100</td>\n",
       "      <td>1.514473e+09</td>\n",
       "      <td>0.034805</td>\n",
       "      <td>0.013398</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169050</th>\n",
       "      <td>0.938250</td>\n",
       "      <td>0.934650</td>\n",
       "      <td>193200</td>\n",
       "      <td>1.514473e+09</td>\n",
       "      <td>0.036181</td>\n",
       "      <td>0.013433</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169137</th>\n",
       "      <td>0.935979</td>\n",
       "      <td>0.931573</td>\n",
       "      <td>193300</td>\n",
       "      <td>1.514473e+09</td>\n",
       "      <td>0.037492</td>\n",
       "      <td>0.013703</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169225</th>\n",
       "      <td>0.939558</td>\n",
       "      <td>0.936207</td>\n",
       "      <td>193400</td>\n",
       "      <td>1.514473e+09</td>\n",
       "      <td>0.035351</td>\n",
       "      <td>0.013805</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169312</th>\n",
       "      <td>0.937645</td>\n",
       "      <td>0.932841</td>\n",
       "      <td>193500</td>\n",
       "      <td>1.514474e+09</td>\n",
       "      <td>0.036563</td>\n",
       "      <td>0.014171</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169400</th>\n",
       "      <td>0.937292</td>\n",
       "      <td>0.933166</td>\n",
       "      <td>193600</td>\n",
       "      <td>1.514474e+09</td>\n",
       "      <td>0.036557</td>\n",
       "      <td>0.014340</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169487</th>\n",
       "      <td>0.938555</td>\n",
       "      <td>0.934237</td>\n",
       "      <td>193700</td>\n",
       "      <td>1.514474e+09</td>\n",
       "      <td>0.036356</td>\n",
       "      <td>0.013505</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169575</th>\n",
       "      <td>0.937981</td>\n",
       "      <td>0.931936</td>\n",
       "      <td>193800</td>\n",
       "      <td>1.514474e+09</td>\n",
       "      <td>0.036325</td>\n",
       "      <td>0.013696</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169662</th>\n",
       "      <td>0.939126</td>\n",
       "      <td>0.934568</td>\n",
       "      <td>193900</td>\n",
       "      <td>1.514474e+09</td>\n",
       "      <td>0.035795</td>\n",
       "      <td>0.013005</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169750</th>\n",
       "      <td>0.938315</td>\n",
       "      <td>0.934071</td>\n",
       "      <td>194000</td>\n",
       "      <td>1.514474e+09</td>\n",
       "      <td>0.035830</td>\n",
       "      <td>0.013777</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169824</th>\n",
       "      <td>0.935818</td>\n",
       "      <td>0.931377</td>\n",
       "      <td>194085</td>\n",
       "      <td>1.514474e+09</td>\n",
       "      <td>0.037357</td>\n",
       "      <td>0.016207</td>\n",
       "      <td>0.888242</td>\n",
       "      <td>0.069413</td>\n",
       "      <td>0.883914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169837</th>\n",
       "      <td>0.946797</td>\n",
       "      <td>0.946585</td>\n",
       "      <td>194100</td>\n",
       "      <td>1.514474e+09</td>\n",
       "      <td>0.031477</td>\n",
       "      <td>0.007855</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169925</th>\n",
       "      <td>0.937819</td>\n",
       "      <td>0.934463</td>\n",
       "      <td>194200</td>\n",
       "      <td>1.514474e+09</td>\n",
       "      <td>0.036557</td>\n",
       "      <td>0.014971</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170012</th>\n",
       "      <td>0.939567</td>\n",
       "      <td>0.935242</td>\n",
       "      <td>194300</td>\n",
       "      <td>1.514474e+09</td>\n",
       "      <td>0.035518</td>\n",
       "      <td>0.013452</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170100</th>\n",
       "      <td>0.939904</td>\n",
       "      <td>0.935906</td>\n",
       "      <td>194400</td>\n",
       "      <td>1.514475e+09</td>\n",
       "      <td>0.035426</td>\n",
       "      <td>0.012565</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170187</th>\n",
       "      <td>0.937908</td>\n",
       "      <td>0.932151</td>\n",
       "      <td>194500</td>\n",
       "      <td>1.514475e+09</td>\n",
       "      <td>0.036284</td>\n",
       "      <td>0.015692</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170275</th>\n",
       "      <td>0.938545</td>\n",
       "      <td>0.934801</td>\n",
       "      <td>194600</td>\n",
       "      <td>1.514475e+09</td>\n",
       "      <td>0.036029</td>\n",
       "      <td>0.013531</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170362</th>\n",
       "      <td>0.938535</td>\n",
       "      <td>0.934427</td>\n",
       "      <td>194700</td>\n",
       "      <td>1.514475e+09</td>\n",
       "      <td>0.036118</td>\n",
       "      <td>0.014200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170450</th>\n",
       "      <td>0.939334</td>\n",
       "      <td>0.934321</td>\n",
       "      <td>194800</td>\n",
       "      <td>1.514475e+09</td>\n",
       "      <td>0.035455</td>\n",
       "      <td>0.015347</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170537</th>\n",
       "      <td>0.943404</td>\n",
       "      <td>0.937949</td>\n",
       "      <td>194900</td>\n",
       "      <td>1.514475e+09</td>\n",
       "      <td>0.032962</td>\n",
       "      <td>0.013047</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170625</th>\n",
       "      <td>0.939200</td>\n",
       "      <td>0.935271</td>\n",
       "      <td>195000</td>\n",
       "      <td>1.514475e+09</td>\n",
       "      <td>0.035551</td>\n",
       "      <td>0.013715</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170712</th>\n",
       "      <td>0.939163</td>\n",
       "      <td>0.933885</td>\n",
       "      <td>195100</td>\n",
       "      <td>1.514475e+09</td>\n",
       "      <td>0.035559</td>\n",
       "      <td>0.014045</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170800</th>\n",
       "      <td>0.939022</td>\n",
       "      <td>0.932064</td>\n",
       "      <td>195200</td>\n",
       "      <td>1.514475e+09</td>\n",
       "      <td>0.035526</td>\n",
       "      <td>0.015442</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170887</th>\n",
       "      <td>0.939805</td>\n",
       "      <td>0.936694</td>\n",
       "      <td>195300</td>\n",
       "      <td>1.514475e+09</td>\n",
       "      <td>0.035211</td>\n",
       "      <td>0.012520</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170975</th>\n",
       "      <td>0.936143</td>\n",
       "      <td>0.931923</td>\n",
       "      <td>195400</td>\n",
       "      <td>1.514476e+09</td>\n",
       "      <td>0.037251</td>\n",
       "      <td>0.014227</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171062</th>\n",
       "      <td>0.935070</td>\n",
       "      <td>0.930859</td>\n",
       "      <td>195500</td>\n",
       "      <td>1.514476e+09</td>\n",
       "      <td>0.038030</td>\n",
       "      <td>0.015067</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171150</th>\n",
       "      <td>0.938887</td>\n",
       "      <td>0.934315</td>\n",
       "      <td>195600</td>\n",
       "      <td>1.514476e+09</td>\n",
       "      <td>0.035711</td>\n",
       "      <td>0.013498</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171237</th>\n",
       "      <td>0.937410</td>\n",
       "      <td>0.932045</td>\n",
       "      <td>195700</td>\n",
       "      <td>1.514476e+09</td>\n",
       "      <td>0.036653</td>\n",
       "      <td>0.013611</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171325</th>\n",
       "      <td>0.938406</td>\n",
       "      <td>0.933910</td>\n",
       "      <td>195800</td>\n",
       "      <td>1.514476e+09</td>\n",
       "      <td>0.035976</td>\n",
       "      <td>0.013326</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171412</th>\n",
       "      <td>0.936821</td>\n",
       "      <td>0.931528</td>\n",
       "      <td>195900</td>\n",
       "      <td>1.514476e+09</td>\n",
       "      <td>0.036907</td>\n",
       "      <td>0.014546</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171500</th>\n",
       "      <td>0.936715</td>\n",
       "      <td>0.932147</td>\n",
       "      <td>196000</td>\n",
       "      <td>1.514476e+09</td>\n",
       "      <td>0.037050</td>\n",
       "      <td>0.013282</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171587</th>\n",
       "      <td>0.937596</td>\n",
       "      <td>0.934571</td>\n",
       "      <td>196100</td>\n",
       "      <td>1.514476e+09</td>\n",
       "      <td>0.036317</td>\n",
       "      <td>0.015804</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171612</th>\n",
       "      <td>0.940527</td>\n",
       "      <td>0.937968</td>\n",
       "      <td>196128</td>\n",
       "      <td>1.514476e+09</td>\n",
       "      <td>0.035072</td>\n",
       "      <td>0.012034</td>\n",
       "      <td>0.887640</td>\n",
       "      <td>0.071019</td>\n",
       "      <td>0.881307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171675</th>\n",
       "      <td>0.937968</td>\n",
       "      <td>0.934003</td>\n",
       "      <td>196200</td>\n",
       "      <td>1.514476e+09</td>\n",
       "      <td>0.036222</td>\n",
       "      <td>0.015909</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171762</th>\n",
       "      <td>0.937270</td>\n",
       "      <td>0.932483</td>\n",
       "      <td>196300</td>\n",
       "      <td>1.514477e+09</td>\n",
       "      <td>0.036636</td>\n",
       "      <td>0.013926</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171850</th>\n",
       "      <td>0.940029</td>\n",
       "      <td>0.936483</td>\n",
       "      <td>196400</td>\n",
       "      <td>1.514477e+09</td>\n",
       "      <td>0.035310</td>\n",
       "      <td>0.012934</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171937</th>\n",
       "      <td>0.936834</td>\n",
       "      <td>0.933230</td>\n",
       "      <td>196500</td>\n",
       "      <td>1.514477e+09</td>\n",
       "      <td>0.036942</td>\n",
       "      <td>0.013830</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172025</th>\n",
       "      <td>0.937980</td>\n",
       "      <td>0.932440</td>\n",
       "      <td>196600</td>\n",
       "      <td>1.514477e+09</td>\n",
       "      <td>0.036111</td>\n",
       "      <td>0.014027</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172112</th>\n",
       "      <td>0.937077</td>\n",
       "      <td>0.931956</td>\n",
       "      <td>196700</td>\n",
       "      <td>1.514477e+09</td>\n",
       "      <td>0.036765</td>\n",
       "      <td>0.015275</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172200</th>\n",
       "      <td>0.943795</td>\n",
       "      <td>0.940467</td>\n",
       "      <td>196800</td>\n",
       "      <td>1.514477e+09</td>\n",
       "      <td>0.032969</td>\n",
       "      <td>0.012152</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172287</th>\n",
       "      <td>0.938852</td>\n",
       "      <td>0.933504</td>\n",
       "      <td>196900</td>\n",
       "      <td>1.514477e+09</td>\n",
       "      <td>0.035842</td>\n",
       "      <td>0.013947</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172375</th>\n",
       "      <td>0.936559</td>\n",
       "      <td>0.932811</td>\n",
       "      <td>197000</td>\n",
       "      <td>1.514477e+09</td>\n",
       "      <td>0.037129</td>\n",
       "      <td>0.014667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172462</th>\n",
       "      <td>0.940284</td>\n",
       "      <td>0.936456</td>\n",
       "      <td>197100</td>\n",
       "      <td>1.514477e+09</td>\n",
       "      <td>0.034957</td>\n",
       "      <td>0.014407</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172550</th>\n",
       "      <td>0.936682</td>\n",
       "      <td>0.933094</td>\n",
       "      <td>197200</td>\n",
       "      <td>1.514477e+09</td>\n",
       "      <td>0.037081</td>\n",
       "      <td>0.013490</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172637</th>\n",
       "      <td>0.936279</td>\n",
       "      <td>0.931622</td>\n",
       "      <td>197300</td>\n",
       "      <td>1.514478e+09</td>\n",
       "      <td>0.037196</td>\n",
       "      <td>0.015635</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172725</th>\n",
       "      <td>0.938607</td>\n",
       "      <td>0.933717</td>\n",
       "      <td>197400</td>\n",
       "      <td>1.514478e+09</td>\n",
       "      <td>0.035808</td>\n",
       "      <td>0.014314</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172812</th>\n",
       "      <td>0.938054</td>\n",
       "      <td>0.933315</td>\n",
       "      <td>197500</td>\n",
       "      <td>1.514478e+09</td>\n",
       "      <td>0.036286</td>\n",
       "      <td>0.013006</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172900</th>\n",
       "      <td>0.939094</td>\n",
       "      <td>0.934523</td>\n",
       "      <td>197600</td>\n",
       "      <td>1.514478e+09</td>\n",
       "      <td>0.035589</td>\n",
       "      <td>0.014798</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172987</th>\n",
       "      <td>0.938164</td>\n",
       "      <td>0.933883</td>\n",
       "      <td>197700</td>\n",
       "      <td>1.514478e+09</td>\n",
       "      <td>0.036095</td>\n",
       "      <td>0.012654</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173075</th>\n",
       "      <td>0.937823</td>\n",
       "      <td>0.933282</td>\n",
       "      <td>197800</td>\n",
       "      <td>1.514478e+09</td>\n",
       "      <td>0.036356</td>\n",
       "      <td>0.013521</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173162</th>\n",
       "      <td>0.938992</td>\n",
       "      <td>0.934133</td>\n",
       "      <td>197900</td>\n",
       "      <td>1.514478e+09</td>\n",
       "      <td>0.035599</td>\n",
       "      <td>0.014085</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173250</th>\n",
       "      <td>0.938790</td>\n",
       "      <td>0.934518</td>\n",
       "      <td>198000</td>\n",
       "      <td>1.514478e+09</td>\n",
       "      <td>0.035826</td>\n",
       "      <td>0.014186</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173337</th>\n",
       "      <td>0.938725</td>\n",
       "      <td>0.933461</td>\n",
       "      <td>198100</td>\n",
       "      <td>1.514478e+09</td>\n",
       "      <td>0.035840</td>\n",
       "      <td>0.014500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173399</th>\n",
       "      <td>0.939599</td>\n",
       "      <td>0.935913</td>\n",
       "      <td>198171</td>\n",
       "      <td>1.514479e+09</td>\n",
       "      <td>0.035504</td>\n",
       "      <td>0.013922</td>\n",
       "      <td>0.886425</td>\n",
       "      <td>0.071501</td>\n",
       "      <td>0.880990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173425</th>\n",
       "      <td>0.935169</td>\n",
       "      <td>0.933737</td>\n",
       "      <td>198200</td>\n",
       "      <td>1.514479e+09</td>\n",
       "      <td>0.037828</td>\n",
       "      <td>0.015844</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173512</th>\n",
       "      <td>0.940783</td>\n",
       "      <td>0.936276</td>\n",
       "      <td>198300</td>\n",
       "      <td>1.514479e+09</td>\n",
       "      <td>0.034718</td>\n",
       "      <td>0.011717</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173600</th>\n",
       "      <td>0.936571</td>\n",
       "      <td>0.932235</td>\n",
       "      <td>198400</td>\n",
       "      <td>1.514479e+09</td>\n",
       "      <td>0.037119</td>\n",
       "      <td>0.013903</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173687</th>\n",
       "      <td>0.938156</td>\n",
       "      <td>0.934167</td>\n",
       "      <td>198500</td>\n",
       "      <td>1.514479e+09</td>\n",
       "      <td>0.036213</td>\n",
       "      <td>0.012953</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173775</th>\n",
       "      <td>0.941173</td>\n",
       "      <td>0.936468</td>\n",
       "      <td>198600</td>\n",
       "      <td>1.514479e+09</td>\n",
       "      <td>0.034369</td>\n",
       "      <td>0.012618</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173862</th>\n",
       "      <td>0.941186</td>\n",
       "      <td>0.937572</td>\n",
       "      <td>198700</td>\n",
       "      <td>1.514479e+09</td>\n",
       "      <td>0.034403</td>\n",
       "      <td>0.011783</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173950</th>\n",
       "      <td>0.939489</td>\n",
       "      <td>0.934887</td>\n",
       "      <td>198800</td>\n",
       "      <td>1.514479e+09</td>\n",
       "      <td>0.035418</td>\n",
       "      <td>0.012828</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174037</th>\n",
       "      <td>0.937688</td>\n",
       "      <td>0.931829</td>\n",
       "      <td>198900</td>\n",
       "      <td>1.514479e+09</td>\n",
       "      <td>0.036404</td>\n",
       "      <td>0.016793</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174125</th>\n",
       "      <td>0.937615</td>\n",
       "      <td>0.932327</td>\n",
       "      <td>199000</td>\n",
       "      <td>1.514479e+09</td>\n",
       "      <td>0.036649</td>\n",
       "      <td>0.013565</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174212</th>\n",
       "      <td>0.936841</td>\n",
       "      <td>0.931540</td>\n",
       "      <td>199100</td>\n",
       "      <td>1.514479e+09</td>\n",
       "      <td>0.037046</td>\n",
       "      <td>0.014295</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174300</th>\n",
       "      <td>0.938392</td>\n",
       "      <td>0.934134</td>\n",
       "      <td>199200</td>\n",
       "      <td>1.514480e+09</td>\n",
       "      <td>0.036151</td>\n",
       "      <td>0.014326</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174387</th>\n",
       "      <td>0.940092</td>\n",
       "      <td>0.935563</td>\n",
       "      <td>199300</td>\n",
       "      <td>1.514480e+09</td>\n",
       "      <td>0.035007</td>\n",
       "      <td>0.013577</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174475</th>\n",
       "      <td>0.939208</td>\n",
       "      <td>0.935833</td>\n",
       "      <td>199400</td>\n",
       "      <td>1.514480e+09</td>\n",
       "      <td>0.035388</td>\n",
       "      <td>0.013395</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174562</th>\n",
       "      <td>0.936331</td>\n",
       "      <td>0.930144</td>\n",
       "      <td>199500</td>\n",
       "      <td>1.514480e+09</td>\n",
       "      <td>0.037204</td>\n",
       "      <td>0.016994</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174650</th>\n",
       "      <td>0.937515</td>\n",
       "      <td>0.933512</td>\n",
       "      <td>199600</td>\n",
       "      <td>1.514480e+09</td>\n",
       "      <td>0.036508</td>\n",
       "      <td>0.013435</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174737</th>\n",
       "      <td>0.939700</td>\n",
       "      <td>0.935642</td>\n",
       "      <td>199700</td>\n",
       "      <td>1.514480e+09</td>\n",
       "      <td>0.035429</td>\n",
       "      <td>0.012290</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174825</th>\n",
       "      <td>0.940230</td>\n",
       "      <td>0.935474</td>\n",
       "      <td>199800</td>\n",
       "      <td>1.514480e+09</td>\n",
       "      <td>0.034897</td>\n",
       "      <td>0.012993</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174912</th>\n",
       "      <td>0.938637</td>\n",
       "      <td>0.934692</td>\n",
       "      <td>199900</td>\n",
       "      <td>1.514480e+09</td>\n",
       "      <td>0.035931</td>\n",
       "      <td>0.013744</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175000</th>\n",
       "      <td>0.938943</td>\n",
       "      <td>0.935732</td>\n",
       "      <td>200000</td>\n",
       "      <td>1.514480e+09</td>\n",
       "      <td>0.035842</td>\n",
       "      <td>0.014518</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175087</th>\n",
       "      <td>0.936102</td>\n",
       "      <td>0.932437</td>\n",
       "      <td>200100</td>\n",
       "      <td>1.514480e+09</td>\n",
       "      <td>0.037440</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175175</th>\n",
       "      <td>0.938768</td>\n",
       "      <td>0.933279</td>\n",
       "      <td>200200</td>\n",
       "      <td>1.514480e+09</td>\n",
       "      <td>0.035822</td>\n",
       "      <td>0.014649</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175187</th>\n",
       "      <td>0.933810</td>\n",
       "      <td>0.929256</td>\n",
       "      <td>200214</td>\n",
       "      <td>1.514481e+09</td>\n",
       "      <td>0.038700</td>\n",
       "      <td>0.013310</td>\n",
       "      <td>0.889287</td>\n",
       "      <td>0.067679</td>\n",
       "      <td>0.886333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175262</th>\n",
       "      <td>0.940716</td>\n",
       "      <td>0.937062</td>\n",
       "      <td>200300</td>\n",
       "      <td>1.514481e+09</td>\n",
       "      <td>0.034504</td>\n",
       "      <td>0.012641</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175350</th>\n",
       "      <td>0.937898</td>\n",
       "      <td>0.933105</td>\n",
       "      <td>200400</td>\n",
       "      <td>1.514481e+09</td>\n",
       "      <td>0.036451</td>\n",
       "      <td>0.013185</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175437</th>\n",
       "      <td>0.938606</td>\n",
       "      <td>0.933703</td>\n",
       "      <td>200500</td>\n",
       "      <td>1.514481e+09</td>\n",
       "      <td>0.035824</td>\n",
       "      <td>0.014086</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175525</th>\n",
       "      <td>0.941471</td>\n",
       "      <td>0.937271</td>\n",
       "      <td>200600</td>\n",
       "      <td>1.514481e+09</td>\n",
       "      <td>0.034396</td>\n",
       "      <td>0.013340</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175612</th>\n",
       "      <td>0.936713</td>\n",
       "      <td>0.931049</td>\n",
       "      <td>200700</td>\n",
       "      <td>1.514481e+09</td>\n",
       "      <td>0.037033</td>\n",
       "      <td>0.013857</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175700</th>\n",
       "      <td>0.936991</td>\n",
       "      <td>0.932898</td>\n",
       "      <td>200800</td>\n",
       "      <td>1.514481e+09</td>\n",
       "      <td>0.036914</td>\n",
       "      <td>0.015460</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175787</th>\n",
       "      <td>0.939059</td>\n",
       "      <td>0.934109</td>\n",
       "      <td>200900</td>\n",
       "      <td>1.514481e+09</td>\n",
       "      <td>0.035700</td>\n",
       "      <td>0.012883</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175875</th>\n",
       "      <td>0.939110</td>\n",
       "      <td>0.935750</td>\n",
       "      <td>201000</td>\n",
       "      <td>1.514481e+09</td>\n",
       "      <td>0.035811</td>\n",
       "      <td>0.012181</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175962</th>\n",
       "      <td>0.938122</td>\n",
       "      <td>0.933715</td>\n",
       "      <td>201100</td>\n",
       "      <td>1.514481e+09</td>\n",
       "      <td>0.036319</td>\n",
       "      <td>0.013066</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176050</th>\n",
       "      <td>0.937134</td>\n",
       "      <td>0.931971</td>\n",
       "      <td>201200</td>\n",
       "      <td>1.514482e+09</td>\n",
       "      <td>0.036692</td>\n",
       "      <td>0.015018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176137</th>\n",
       "      <td>0.939792</td>\n",
       "      <td>0.935965</td>\n",
       "      <td>201300</td>\n",
       "      <td>1.514482e+09</td>\n",
       "      <td>0.035270</td>\n",
       "      <td>0.013624</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176225</th>\n",
       "      <td>0.938218</td>\n",
       "      <td>0.933824</td>\n",
       "      <td>201400</td>\n",
       "      <td>1.514482e+09</td>\n",
       "      <td>0.036175</td>\n",
       "      <td>0.013445</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176312</th>\n",
       "      <td>0.938822</td>\n",
       "      <td>0.934724</td>\n",
       "      <td>201500</td>\n",
       "      <td>1.514482e+09</td>\n",
       "      <td>0.035803</td>\n",
       "      <td>0.014191</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176400</th>\n",
       "      <td>0.939527</td>\n",
       "      <td>0.935617</td>\n",
       "      <td>201600</td>\n",
       "      <td>1.514482e+09</td>\n",
       "      <td>0.035335</td>\n",
       "      <td>0.013039</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176487</th>\n",
       "      <td>0.935864</td>\n",
       "      <td>0.930539</td>\n",
       "      <td>201700</td>\n",
       "      <td>1.514482e+09</td>\n",
       "      <td>0.037408</td>\n",
       "      <td>0.015333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176575</th>\n",
       "      <td>0.936232</td>\n",
       "      <td>0.933009</td>\n",
       "      <td>201800</td>\n",
       "      <td>1.514482e+09</td>\n",
       "      <td>0.037349</td>\n",
       "      <td>0.013830</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176662</th>\n",
       "      <td>0.938756</td>\n",
       "      <td>0.932608</td>\n",
       "      <td>201900</td>\n",
       "      <td>1.514482e+09</td>\n",
       "      <td>0.035793</td>\n",
       "      <td>0.015208</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176750</th>\n",
       "      <td>0.940065</td>\n",
       "      <td>0.935991</td>\n",
       "      <td>202000</td>\n",
       "      <td>1.514482e+09</td>\n",
       "      <td>0.035022</td>\n",
       "      <td>0.013420</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176837</th>\n",
       "      <td>0.939467</td>\n",
       "      <td>0.934714</td>\n",
       "      <td>202100</td>\n",
       "      <td>1.514482e+09</td>\n",
       "      <td>0.035367</td>\n",
       "      <td>0.013317</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176925</th>\n",
       "      <td>0.939385</td>\n",
       "      <td>0.936593</td>\n",
       "      <td>202200</td>\n",
       "      <td>1.514483e+09</td>\n",
       "      <td>0.035496</td>\n",
       "      <td>0.012897</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176974</th>\n",
       "      <td>0.937667</td>\n",
       "      <td>0.933646</td>\n",
       "      <td>202256</td>\n",
       "      <td>1.514483e+09</td>\n",
       "      <td>0.036351</td>\n",
       "      <td>0.014108</td>\n",
       "      <td>0.889325</td>\n",
       "      <td>0.069786</td>\n",
       "      <td>0.884359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177012</th>\n",
       "      <td>0.940060</td>\n",
       "      <td>0.936181</td>\n",
       "      <td>202300</td>\n",
       "      <td>1.514483e+09</td>\n",
       "      <td>0.035432</td>\n",
       "      <td>0.010507</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177100</th>\n",
       "      <td>0.939190</td>\n",
       "      <td>0.934234</td>\n",
       "      <td>202400</td>\n",
       "      <td>1.514483e+09</td>\n",
       "      <td>0.035758</td>\n",
       "      <td>0.012657</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177187</th>\n",
       "      <td>0.938658</td>\n",
       "      <td>0.934531</td>\n",
       "      <td>202500</td>\n",
       "      <td>1.514483e+09</td>\n",
       "      <td>0.035989</td>\n",
       "      <td>0.012856</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177275</th>\n",
       "      <td>0.939635</td>\n",
       "      <td>0.935205</td>\n",
       "      <td>202600</td>\n",
       "      <td>1.514483e+09</td>\n",
       "      <td>0.035442</td>\n",
       "      <td>0.013955</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177362</th>\n",
       "      <td>0.936475</td>\n",
       "      <td>0.932752</td>\n",
       "      <td>202700</td>\n",
       "      <td>1.514483e+09</td>\n",
       "      <td>0.037332</td>\n",
       "      <td>0.014528</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177450</th>\n",
       "      <td>0.938765</td>\n",
       "      <td>0.934971</td>\n",
       "      <td>202800</td>\n",
       "      <td>1.514483e+09</td>\n",
       "      <td>0.035847</td>\n",
       "      <td>0.012684</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177537</th>\n",
       "      <td>0.940662</td>\n",
       "      <td>0.935797</td>\n",
       "      <td>202900</td>\n",
       "      <td>1.514483e+09</td>\n",
       "      <td>0.034876</td>\n",
       "      <td>0.012757</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177625</th>\n",
       "      <td>0.938793</td>\n",
       "      <td>0.934645</td>\n",
       "      <td>203000</td>\n",
       "      <td>1.514483e+09</td>\n",
       "      <td>0.035992</td>\n",
       "      <td>0.012636</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177712</th>\n",
       "      <td>0.939081</td>\n",
       "      <td>0.935928</td>\n",
       "      <td>203100</td>\n",
       "      <td>1.514484e+09</td>\n",
       "      <td>0.035772</td>\n",
       "      <td>0.013258</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177800</th>\n",
       "      <td>0.938791</td>\n",
       "      <td>0.933670</td>\n",
       "      <td>203200</td>\n",
       "      <td>1.514484e+09</td>\n",
       "      <td>0.035899</td>\n",
       "      <td>0.013905</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177887</th>\n",
       "      <td>0.937506</td>\n",
       "      <td>0.931992</td>\n",
       "      <td>203300</td>\n",
       "      <td>1.514484e+09</td>\n",
       "      <td>0.036205</td>\n",
       "      <td>0.014247</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177975</th>\n",
       "      <td>0.937499</td>\n",
       "      <td>0.933985</td>\n",
       "      <td>203400</td>\n",
       "      <td>1.514484e+09</td>\n",
       "      <td>0.036710</td>\n",
       "      <td>0.014017</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178062</th>\n",
       "      <td>0.936590</td>\n",
       "      <td>0.932580</td>\n",
       "      <td>203500</td>\n",
       "      <td>1.514484e+09</td>\n",
       "      <td>0.037323</td>\n",
       "      <td>0.015290</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178150</th>\n",
       "      <td>0.939036</td>\n",
       "      <td>0.933754</td>\n",
       "      <td>203600</td>\n",
       "      <td>1.514484e+09</td>\n",
       "      <td>0.035629</td>\n",
       "      <td>0.013534</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178237</th>\n",
       "      <td>0.938371</td>\n",
       "      <td>0.933789</td>\n",
       "      <td>203700</td>\n",
       "      <td>1.514484e+09</td>\n",
       "      <td>0.036046</td>\n",
       "      <td>0.012848</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178325</th>\n",
       "      <td>0.939468</td>\n",
       "      <td>0.934588</td>\n",
       "      <td>203800</td>\n",
       "      <td>1.514484e+09</td>\n",
       "      <td>0.035342</td>\n",
       "      <td>0.013555</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178412</th>\n",
       "      <td>0.938619</td>\n",
       "      <td>0.933017</td>\n",
       "      <td>203900</td>\n",
       "      <td>1.514484e+09</td>\n",
       "      <td>0.035656</td>\n",
       "      <td>0.014420</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178500</th>\n",
       "      <td>0.938693</td>\n",
       "      <td>0.934779</td>\n",
       "      <td>204000</td>\n",
       "      <td>1.514484e+09</td>\n",
       "      <td>0.035876</td>\n",
       "      <td>0.012980</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178587</th>\n",
       "      <td>0.941180</td>\n",
       "      <td>0.936325</td>\n",
       "      <td>204100</td>\n",
       "      <td>1.514485e+09</td>\n",
       "      <td>0.034364</td>\n",
       "      <td>0.012875</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178675</th>\n",
       "      <td>0.937909</td>\n",
       "      <td>0.933616</td>\n",
       "      <td>204200</td>\n",
       "      <td>1.514485e+09</td>\n",
       "      <td>0.036388</td>\n",
       "      <td>0.013756</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178762</th>\n",
       "      <td>0.939057</td>\n",
       "      <td>0.935759</td>\n",
       "      <td>204300</td>\n",
       "      <td>1.514485e+09</td>\n",
       "      <td>0.035682</td>\n",
       "      <td>0.012661</td>\n",
       "      <td>0.889336</td>\n",
       "      <td>0.068130</td>\n",
       "      <td>0.886376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178850</th>\n",
       "      <td>0.939269</td>\n",
       "      <td>0.934942</td>\n",
       "      <td>204400</td>\n",
       "      <td>1.514485e+09</td>\n",
       "      <td>0.035659</td>\n",
       "      <td>0.012637</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178937</th>\n",
       "      <td>0.937853</td>\n",
       "      <td>0.934502</td>\n",
       "      <td>204500</td>\n",
       "      <td>1.514485e+09</td>\n",
       "      <td>0.036195</td>\n",
       "      <td>0.012820</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179025</th>\n",
       "      <td>0.939950</td>\n",
       "      <td>0.936440</td>\n",
       "      <td>204600</td>\n",
       "      <td>1.514485e+09</td>\n",
       "      <td>0.035164</td>\n",
       "      <td>0.013704</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179112</th>\n",
       "      <td>0.938826</td>\n",
       "      <td>0.933240</td>\n",
       "      <td>204700</td>\n",
       "      <td>1.514485e+09</td>\n",
       "      <td>0.036047</td>\n",
       "      <td>0.012864</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179200</th>\n",
       "      <td>0.938930</td>\n",
       "      <td>0.934734</td>\n",
       "      <td>204800</td>\n",
       "      <td>1.514485e+09</td>\n",
       "      <td>0.035639</td>\n",
       "      <td>0.012371</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179287</th>\n",
       "      <td>0.937925</td>\n",
       "      <td>0.933531</td>\n",
       "      <td>204900</td>\n",
       "      <td>1.514485e+09</td>\n",
       "      <td>0.036277</td>\n",
       "      <td>0.013650</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179375</th>\n",
       "      <td>0.938948</td>\n",
       "      <td>0.935507</td>\n",
       "      <td>205000</td>\n",
       "      <td>1.514486e+09</td>\n",
       "      <td>0.035847</td>\n",
       "      <td>0.013302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179462</th>\n",
       "      <td>0.937303</td>\n",
       "      <td>0.933221</td>\n",
       "      <td>205100</td>\n",
       "      <td>1.514486e+09</td>\n",
       "      <td>0.036692</td>\n",
       "      <td>0.013369</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179550</th>\n",
       "      <td>0.935627</td>\n",
       "      <td>0.928937</td>\n",
       "      <td>205200</td>\n",
       "      <td>1.514486e+09</td>\n",
       "      <td>0.037571</td>\n",
       "      <td>0.015431</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179637</th>\n",
       "      <td>0.938973</td>\n",
       "      <td>0.934218</td>\n",
       "      <td>205300</td>\n",
       "      <td>1.514486e+09</td>\n",
       "      <td>0.035717</td>\n",
       "      <td>0.013050</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179725</th>\n",
       "      <td>0.939949</td>\n",
       "      <td>0.935856</td>\n",
       "      <td>205400</td>\n",
       "      <td>1.514486e+09</td>\n",
       "      <td>0.035181</td>\n",
       "      <td>0.012240</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179812</th>\n",
       "      <td>0.939272</td>\n",
       "      <td>0.935182</td>\n",
       "      <td>205500</td>\n",
       "      <td>1.514486e+09</td>\n",
       "      <td>0.035626</td>\n",
       "      <td>0.012813</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179900</th>\n",
       "      <td>0.940908</td>\n",
       "      <td>0.935844</td>\n",
       "      <td>205600</td>\n",
       "      <td>1.514486e+09</td>\n",
       "      <td>0.034630</td>\n",
       "      <td>0.012600</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179987</th>\n",
       "      <td>0.937333</td>\n",
       "      <td>0.931670</td>\n",
       "      <td>205700</td>\n",
       "      <td>1.514486e+09</td>\n",
       "      <td>0.036793</td>\n",
       "      <td>0.015067</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180075</th>\n",
       "      <td>0.939238</td>\n",
       "      <td>0.933991</td>\n",
       "      <td>205800</td>\n",
       "      <td>1.514486e+09</td>\n",
       "      <td>0.035465</td>\n",
       "      <td>0.014714</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180162</th>\n",
       "      <td>0.938955</td>\n",
       "      <td>0.934877</td>\n",
       "      <td>205900</td>\n",
       "      <td>1.514486e+09</td>\n",
       "      <td>0.035594</td>\n",
       "      <td>0.012918</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180250</th>\n",
       "      <td>0.938550</td>\n",
       "      <td>0.936074</td>\n",
       "      <td>206000</td>\n",
       "      <td>1.514487e+09</td>\n",
       "      <td>0.036077</td>\n",
       "      <td>0.012957</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180337</th>\n",
       "      <td>0.938600</td>\n",
       "      <td>0.934020</td>\n",
       "      <td>206100</td>\n",
       "      <td>1.514487e+09</td>\n",
       "      <td>0.036023</td>\n",
       "      <td>0.013815</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180425</th>\n",
       "      <td>0.939369</td>\n",
       "      <td>0.935751</td>\n",
       "      <td>206200</td>\n",
       "      <td>1.514487e+09</td>\n",
       "      <td>0.035443</td>\n",
       "      <td>0.013292</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180512</th>\n",
       "      <td>0.937443</td>\n",
       "      <td>0.932972</td>\n",
       "      <td>206300</td>\n",
       "      <td>1.514487e+09</td>\n",
       "      <td>0.036586</td>\n",
       "      <td>0.013922</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180550</th>\n",
       "      <td>0.939754</td>\n",
       "      <td>0.934168</td>\n",
       "      <td>206343</td>\n",
       "      <td>1.514487e+09</td>\n",
       "      <td>0.034948</td>\n",
       "      <td>0.014429</td>\n",
       "      <td>0.889431</td>\n",
       "      <td>0.069305</td>\n",
       "      <td>0.884877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180600</th>\n",
       "      <td>0.933955</td>\n",
       "      <td>0.930118</td>\n",
       "      <td>206400</td>\n",
       "      <td>1.514487e+09</td>\n",
       "      <td>0.039170</td>\n",
       "      <td>0.013395</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180687</th>\n",
       "      <td>0.942210</td>\n",
       "      <td>0.937277</td>\n",
       "      <td>206500</td>\n",
       "      <td>1.514487e+09</td>\n",
       "      <td>0.033852</td>\n",
       "      <td>0.011312</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180775</th>\n",
       "      <td>0.936175</td>\n",
       "      <td>0.931931</td>\n",
       "      <td>206600</td>\n",
       "      <td>1.514487e+09</td>\n",
       "      <td>0.037249</td>\n",
       "      <td>0.014005</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180862</th>\n",
       "      <td>0.939307</td>\n",
       "      <td>0.935402</td>\n",
       "      <td>206700</td>\n",
       "      <td>1.514487e+09</td>\n",
       "      <td>0.035770</td>\n",
       "      <td>0.012130</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180950</th>\n",
       "      <td>0.938796</td>\n",
       "      <td>0.934223</td>\n",
       "      <td>206800</td>\n",
       "      <td>1.514487e+09</td>\n",
       "      <td>0.035935</td>\n",
       "      <td>0.013570</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181037</th>\n",
       "      <td>0.936786</td>\n",
       "      <td>0.932142</td>\n",
       "      <td>206900</td>\n",
       "      <td>1.514488e+09</td>\n",
       "      <td>0.037042</td>\n",
       "      <td>0.013214</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181125</th>\n",
       "      <td>0.940314</td>\n",
       "      <td>0.936837</td>\n",
       "      <td>207000</td>\n",
       "      <td>1.514488e+09</td>\n",
       "      <td>0.034997</td>\n",
       "      <td>0.012823</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181212</th>\n",
       "      <td>0.939697</td>\n",
       "      <td>0.934896</td>\n",
       "      <td>207100</td>\n",
       "      <td>1.514488e+09</td>\n",
       "      <td>0.035303</td>\n",
       "      <td>0.012048</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181300</th>\n",
       "      <td>0.939888</td>\n",
       "      <td>0.935127</td>\n",
       "      <td>207200</td>\n",
       "      <td>1.514488e+09</td>\n",
       "      <td>0.035247</td>\n",
       "      <td>0.012709</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181387</th>\n",
       "      <td>0.936385</td>\n",
       "      <td>0.931890</td>\n",
       "      <td>207300</td>\n",
       "      <td>1.514488e+09</td>\n",
       "      <td>0.037145</td>\n",
       "      <td>0.013377</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181475</th>\n",
       "      <td>0.937597</td>\n",
       "      <td>0.933942</td>\n",
       "      <td>207400</td>\n",
       "      <td>1.514488e+09</td>\n",
       "      <td>0.036404</td>\n",
       "      <td>0.014685</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181562</th>\n",
       "      <td>0.940822</td>\n",
       "      <td>0.935617</td>\n",
       "      <td>207500</td>\n",
       "      <td>1.514488e+09</td>\n",
       "      <td>0.034628</td>\n",
       "      <td>0.013726</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181650</th>\n",
       "      <td>0.939978</td>\n",
       "      <td>0.934170</td>\n",
       "      <td>207600</td>\n",
       "      <td>1.514488e+09</td>\n",
       "      <td>0.035028</td>\n",
       "      <td>0.013604</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181737</th>\n",
       "      <td>0.938949</td>\n",
       "      <td>0.934455</td>\n",
       "      <td>207700</td>\n",
       "      <td>1.514488e+09</td>\n",
       "      <td>0.035642</td>\n",
       "      <td>0.014087</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181825</th>\n",
       "      <td>0.940040</td>\n",
       "      <td>0.935721</td>\n",
       "      <td>207800</td>\n",
       "      <td>1.514488e+09</td>\n",
       "      <td>0.034969</td>\n",
       "      <td>0.012680</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181912</th>\n",
       "      <td>0.939036</td>\n",
       "      <td>0.935259</td>\n",
       "      <td>207900</td>\n",
       "      <td>1.514489e+09</td>\n",
       "      <td>0.035651</td>\n",
       "      <td>0.013321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182000</th>\n",
       "      <td>0.938537</td>\n",
       "      <td>0.933462</td>\n",
       "      <td>208000</td>\n",
       "      <td>1.514489e+09</td>\n",
       "      <td>0.035853</td>\n",
       "      <td>0.014532</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182087</th>\n",
       "      <td>0.938123</td>\n",
       "      <td>0.934557</td>\n",
       "      <td>208100</td>\n",
       "      <td>1.514489e+09</td>\n",
       "      <td>0.036282</td>\n",
       "      <td>0.012920</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182175</th>\n",
       "      <td>0.939893</td>\n",
       "      <td>0.936091</td>\n",
       "      <td>208200</td>\n",
       "      <td>1.514489e+09</td>\n",
       "      <td>0.035154</td>\n",
       "      <td>0.012805</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182262</th>\n",
       "      <td>0.938766</td>\n",
       "      <td>0.934358</td>\n",
       "      <td>208300</td>\n",
       "      <td>1.514489e+09</td>\n",
       "      <td>0.035829</td>\n",
       "      <td>0.013728</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182337</th>\n",
       "      <td>0.936567</td>\n",
       "      <td>0.932534</td>\n",
       "      <td>208386</td>\n",
       "      <td>1.514489e+09</td>\n",
       "      <td>0.037498</td>\n",
       "      <td>0.014991</td>\n",
       "      <td>0.890560</td>\n",
       "      <td>0.068307</td>\n",
       "      <td>0.886013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182350</th>\n",
       "      <td>0.940460</td>\n",
       "      <td>0.934324</td>\n",
       "      <td>208400</td>\n",
       "      <td>1.514489e+09</td>\n",
       "      <td>0.035109</td>\n",
       "      <td>0.012394</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182437</th>\n",
       "      <td>0.937463</td>\n",
       "      <td>0.932882</td>\n",
       "      <td>208500</td>\n",
       "      <td>1.514489e+09</td>\n",
       "      <td>0.036587</td>\n",
       "      <td>0.013284</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182525</th>\n",
       "      <td>0.941058</td>\n",
       "      <td>0.936693</td>\n",
       "      <td>208600</td>\n",
       "      <td>1.514489e+09</td>\n",
       "      <td>0.034565</td>\n",
       "      <td>0.012303</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182612</th>\n",
       "      <td>0.936846</td>\n",
       "      <td>0.932734</td>\n",
       "      <td>208700</td>\n",
       "      <td>1.514489e+09</td>\n",
       "      <td>0.037091</td>\n",
       "      <td>0.013645</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182700</th>\n",
       "      <td>0.941708</td>\n",
       "      <td>0.938483</td>\n",
       "      <td>208800</td>\n",
       "      <td>1.514490e+09</td>\n",
       "      <td>0.034305</td>\n",
       "      <td>0.011030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182787</th>\n",
       "      <td>0.936762</td>\n",
       "      <td>0.932112</td>\n",
       "      <td>208900</td>\n",
       "      <td>1.514490e+09</td>\n",
       "      <td>0.036867</td>\n",
       "      <td>0.017633</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182875</th>\n",
       "      <td>0.937218</td>\n",
       "      <td>0.933944</td>\n",
       "      <td>209000</td>\n",
       "      <td>1.514490e+09</td>\n",
       "      <td>0.036702</td>\n",
       "      <td>0.013410</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182962</th>\n",
       "      <td>0.939100</td>\n",
       "      <td>0.933409</td>\n",
       "      <td>209100</td>\n",
       "      <td>1.514490e+09</td>\n",
       "      <td>0.035667</td>\n",
       "      <td>0.014797</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183050</th>\n",
       "      <td>0.939097</td>\n",
       "      <td>0.935169</td>\n",
       "      <td>209200</td>\n",
       "      <td>1.514490e+09</td>\n",
       "      <td>0.035749</td>\n",
       "      <td>0.012588</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183137</th>\n",
       "      <td>0.937771</td>\n",
       "      <td>0.933431</td>\n",
       "      <td>209300</td>\n",
       "      <td>1.514490e+09</td>\n",
       "      <td>0.036589</td>\n",
       "      <td>0.012874</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183225</th>\n",
       "      <td>0.940028</td>\n",
       "      <td>0.935179</td>\n",
       "      <td>209400</td>\n",
       "      <td>1.514490e+09</td>\n",
       "      <td>0.035278</td>\n",
       "      <td>0.013116</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183312</th>\n",
       "      <td>0.937366</td>\n",
       "      <td>0.932436</td>\n",
       "      <td>209500</td>\n",
       "      <td>1.514490e+09</td>\n",
       "      <td>0.036503</td>\n",
       "      <td>0.013833</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183400</th>\n",
       "      <td>0.937512</td>\n",
       "      <td>0.931768</td>\n",
       "      <td>209600</td>\n",
       "      <td>1.514490e+09</td>\n",
       "      <td>0.036506</td>\n",
       "      <td>0.014397</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183487</th>\n",
       "      <td>0.939457</td>\n",
       "      <td>0.934309</td>\n",
       "      <td>209700</td>\n",
       "      <td>1.514490e+09</td>\n",
       "      <td>0.035338</td>\n",
       "      <td>0.013109</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183575</th>\n",
       "      <td>0.940012</td>\n",
       "      <td>0.936172</td>\n",
       "      <td>209800</td>\n",
       "      <td>1.514491e+09</td>\n",
       "      <td>0.034883</td>\n",
       "      <td>0.012582</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183662</th>\n",
       "      <td>0.940622</td>\n",
       "      <td>0.934881</td>\n",
       "      <td>209900</td>\n",
       "      <td>1.514491e+09</td>\n",
       "      <td>0.034711</td>\n",
       "      <td>0.014520</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183750</th>\n",
       "      <td>0.936886</td>\n",
       "      <td>0.932738</td>\n",
       "      <td>210000</td>\n",
       "      <td>1.514491e+09</td>\n",
       "      <td>0.036964</td>\n",
       "      <td>0.013513</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183837</th>\n",
       "      <td>0.937354</td>\n",
       "      <td>0.932754</td>\n",
       "      <td>210100</td>\n",
       "      <td>1.514491e+09</td>\n",
       "      <td>0.036485</td>\n",
       "      <td>0.013444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183925</th>\n",
       "      <td>0.940052</td>\n",
       "      <td>0.935669</td>\n",
       "      <td>210200</td>\n",
       "      <td>1.514491e+09</td>\n",
       "      <td>0.035374</td>\n",
       "      <td>0.012282</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184012</th>\n",
       "      <td>0.939730</td>\n",
       "      <td>0.936378</td>\n",
       "      <td>210300</td>\n",
       "      <td>1.514491e+09</td>\n",
       "      <td>0.035397</td>\n",
       "      <td>0.013294</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184100</th>\n",
       "      <td>0.938744</td>\n",
       "      <td>0.934203</td>\n",
       "      <td>210400</td>\n",
       "      <td>1.514491e+09</td>\n",
       "      <td>0.035810</td>\n",
       "      <td>0.013140</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184125</th>\n",
       "      <td>0.941121</td>\n",
       "      <td>0.938976</td>\n",
       "      <td>210429</td>\n",
       "      <td>1.514491e+09</td>\n",
       "      <td>0.034527</td>\n",
       "      <td>0.011402</td>\n",
       "      <td>0.888202</td>\n",
       "      <td>0.069690</td>\n",
       "      <td>0.883982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184187</th>\n",
       "      <td>0.936632</td>\n",
       "      <td>0.933274</td>\n",
       "      <td>210500</td>\n",
       "      <td>1.514491e+09</td>\n",
       "      <td>0.037068</td>\n",
       "      <td>0.013236</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184275</th>\n",
       "      <td>0.940599</td>\n",
       "      <td>0.936462</td>\n",
       "      <td>210600</td>\n",
       "      <td>1.514491e+09</td>\n",
       "      <td>0.034688</td>\n",
       "      <td>0.012783</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184362</th>\n",
       "      <td>0.938746</td>\n",
       "      <td>0.934575</td>\n",
       "      <td>210700</td>\n",
       "      <td>1.514492e+09</td>\n",
       "      <td>0.036049</td>\n",
       "      <td>0.011997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184450</th>\n",
       "      <td>0.940859</td>\n",
       "      <td>0.937158</td>\n",
       "      <td>210800</td>\n",
       "      <td>1.514492e+09</td>\n",
       "      <td>0.034598</td>\n",
       "      <td>0.011499</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184537</th>\n",
       "      <td>0.939939</td>\n",
       "      <td>0.934135</td>\n",
       "      <td>210900</td>\n",
       "      <td>1.514492e+09</td>\n",
       "      <td>0.035061</td>\n",
       "      <td>0.014160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184625</th>\n",
       "      <td>0.940600</td>\n",
       "      <td>0.936698</td>\n",
       "      <td>211000</td>\n",
       "      <td>1.514492e+09</td>\n",
       "      <td>0.035025</td>\n",
       "      <td>0.012422</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184712</th>\n",
       "      <td>0.938188</td>\n",
       "      <td>0.933394</td>\n",
       "      <td>211100</td>\n",
       "      <td>1.514492e+09</td>\n",
       "      <td>0.036206</td>\n",
       "      <td>0.012927</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184800</th>\n",
       "      <td>0.941388</td>\n",
       "      <td>0.937616</td>\n",
       "      <td>211200</td>\n",
       "      <td>1.514492e+09</td>\n",
       "      <td>0.034310</td>\n",
       "      <td>0.011942</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184887</th>\n",
       "      <td>0.937212</td>\n",
       "      <td>0.932109</td>\n",
       "      <td>211300</td>\n",
       "      <td>1.514492e+09</td>\n",
       "      <td>0.036675</td>\n",
       "      <td>0.014436</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184975</th>\n",
       "      <td>0.937833</td>\n",
       "      <td>0.931328</td>\n",
       "      <td>211400</td>\n",
       "      <td>1.514492e+09</td>\n",
       "      <td>0.036280</td>\n",
       "      <td>0.014329</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185062</th>\n",
       "      <td>0.937543</td>\n",
       "      <td>0.932610</td>\n",
       "      <td>211500</td>\n",
       "      <td>1.514492e+09</td>\n",
       "      <td>0.036584</td>\n",
       "      <td>0.014132</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185150</th>\n",
       "      <td>0.936633</td>\n",
       "      <td>0.933595</td>\n",
       "      <td>211600</td>\n",
       "      <td>1.514492e+09</td>\n",
       "      <td>0.037286</td>\n",
       "      <td>0.013759</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185237</th>\n",
       "      <td>0.940187</td>\n",
       "      <td>0.935574</td>\n",
       "      <td>211700</td>\n",
       "      <td>1.514493e+09</td>\n",
       "      <td>0.034911</td>\n",
       "      <td>0.013465</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185325</th>\n",
       "      <td>0.937531</td>\n",
       "      <td>0.933473</td>\n",
       "      <td>211800</td>\n",
       "      <td>1.514493e+09</td>\n",
       "      <td>0.036450</td>\n",
       "      <td>0.014108</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185412</th>\n",
       "      <td>0.939355</td>\n",
       "      <td>0.935870</td>\n",
       "      <td>211900</td>\n",
       "      <td>1.514493e+09</td>\n",
       "      <td>0.035653</td>\n",
       "      <td>0.012504</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185500</th>\n",
       "      <td>0.939512</td>\n",
       "      <td>0.934475</td>\n",
       "      <td>212000</td>\n",
       "      <td>1.514493e+09</td>\n",
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       "      <td>0.013870</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185587</th>\n",
       "      <td>0.938787</td>\n",
       "      <td>0.934669</td>\n",
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       "      <td>1.514493e+09</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185675</th>\n",
       "      <td>0.937100</td>\n",
       "      <td>0.933165</td>\n",
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       "      <td>1.514493e+09</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185762</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185850</th>\n",
       "      <td>0.939082</td>\n",
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       "      <td>1.514493e+09</td>\n",
       "      <td>0.035637</td>\n",
       "      <td>0.012787</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185913</th>\n",
       "      <td>0.937519</td>\n",
       "      <td>0.933570</td>\n",
       "      <td>212472</td>\n",
       "      <td>1.514493e+09</td>\n",
       "      <td>0.036732</td>\n",
       "      <td>0.012568</td>\n",
       "      <td>0.889019</td>\n",
       "      <td>0.069695</td>\n",
       "      <td>0.884177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185937</th>\n",
       "      <td>0.937597</td>\n",
       "      <td>0.933048</td>\n",
       "      <td>212500</td>\n",
       "      <td>1.514493e+09</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186025</th>\n",
       "      <td>0.938567</td>\n",
       "      <td>0.933682</td>\n",
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       "      <td>1.514494e+09</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186112</th>\n",
       "      <td>0.937669</td>\n",
       "      <td>0.934447</td>\n",
       "      <td>212700</td>\n",
       "      <td>1.514494e+09</td>\n",
       "      <td>0.036442</td>\n",
       "      <td>0.012538</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186200</th>\n",
       "      <td>0.938594</td>\n",
       "      <td>0.935277</td>\n",
       "      <td>212800</td>\n",
       "      <td>1.514494e+09</td>\n",
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       "      <td>0.013254</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186287</th>\n",
       "      <td>0.939175</td>\n",
       "      <td>0.936323</td>\n",
       "      <td>212900</td>\n",
       "      <td>1.514494e+09</td>\n",
       "      <td>0.035504</td>\n",
       "      <td>0.012098</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186375</th>\n",
       "      <td>0.937964</td>\n",
       "      <td>0.932257</td>\n",
       "      <td>213000</td>\n",
       "      <td>1.514494e+09</td>\n",
       "      <td>0.036161</td>\n",
       "      <td>0.014944</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186462</th>\n",
       "      <td>0.939173</td>\n",
       "      <td>0.935156</td>\n",
       "      <td>213100</td>\n",
       "      <td>1.514494e+09</td>\n",
       "      <td>0.035634</td>\n",
       "      <td>0.013290</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186550</th>\n",
       "      <td>0.938788</td>\n",
       "      <td>0.934171</td>\n",
       "      <td>213200</td>\n",
       "      <td>1.514494e+09</td>\n",
       "      <td>0.035921</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186637</th>\n",
       "      <td>0.938220</td>\n",
       "      <td>0.931134</td>\n",
       "      <td>213300</td>\n",
       "      <td>1.514494e+09</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186725</th>\n",
       "      <td>0.939606</td>\n",
       "      <td>0.935047</td>\n",
       "      <td>213400</td>\n",
       "      <td>1.514494e+09</td>\n",
       "      <td>0.035510</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186812</th>\n",
       "      <td>0.938386</td>\n",
       "      <td>0.933986</td>\n",
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       "      <td>1.514494e+09</td>\n",
       "      <td>0.035920</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186900</th>\n",
       "      <td>0.938220</td>\n",
       "      <td>0.933729</td>\n",
       "      <td>213600</td>\n",
       "      <td>1.514495e+09</td>\n",
       "      <td>0.036139</td>\n",
       "      <td>0.014259</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186987</th>\n",
       "      <td>0.939536</td>\n",
       "      <td>0.933982</td>\n",
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       "      <td>1.514495e+09</td>\n",
       "      <td>0.035410</td>\n",
       "      <td>0.013138</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187075</th>\n",
       "      <td>0.939551</td>\n",
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       "      <td>1.514495e+09</td>\n",
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       "      <td>0.012561</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187162</th>\n",
       "      <td>0.940437</td>\n",
       "      <td>0.936817</td>\n",
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       "      <td>1.514495e+09</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187219</th>\n",
       "      <td>0.938466</td>\n",
       "      <td>0.935730</td>\n",
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       "      <td>1.514495e+09</td>\n",
       "      <td>0.036072</td>\n",
       "      <td>0.012179</td>\n",
       "      <td>0.888719</td>\n",
       "      <td>0.069155</td>\n",
       "      <td>0.884529</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2244 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        training/bleu  training/bleu2  u_step  wall_time     training/ctc_ed  training/logloss_mean  validation/top_1/bleu2  validation/top_1/edit_distance  validation/top_1/bleu\n",
       "87      0.195683       0.027584           100  1.514265e+09  0.699871         4.061313                    NaN                     NaN                             NaN             \n",
       "175     0.192471       0.030383           200  1.514265e+09  0.692371         3.802582                    NaN                     NaN                             NaN             \n",
       "262     0.175016       0.010950           300  1.514265e+09  0.693630         3.599373                    NaN                     NaN                             NaN             \n",
       "350     0.179717       0.047608           400  1.514265e+09  0.680253         3.292958                    NaN                     NaN                             NaN             \n",
       "437     0.186381       0.067868           500  1.514265e+09  0.674165         3.131105                    NaN                     NaN                             NaN             \n",
       "525     0.202425       0.068310           600  1.514265e+09  0.673159         3.061558                    NaN                     NaN                             NaN             \n",
       "612     0.201365       0.076629           700  1.514265e+09  0.658328         2.947630                    NaN                     NaN                             NaN             \n",
       "700     0.202361       0.084264           800  1.514265e+09  0.648076         2.878944                    NaN                     NaN                             NaN             \n",
       "787     0.208640       0.093091           900  1.514265e+09  0.637413         2.810229                    NaN                     NaN                             NaN             \n",
       "875     0.202997       0.104403          1000  1.514266e+09  0.624547         2.743017                    NaN                     NaN                             NaN             \n",
       "962     0.209710       0.116332          1100  1.514266e+09  0.607890         2.664919                    NaN                     NaN                             NaN             \n",
       "1050    0.207302       0.124173          1200  1.514266e+09  0.602367         2.624299                    NaN                     NaN                             NaN             \n",
       "1137    0.215190       0.136092          1300  1.514266e+09  0.582931         2.548784                    NaN                     NaN                             NaN             \n",
       "1225    0.216385       0.145646          1400  1.514266e+09  0.575058         2.496692                    NaN                     NaN                             NaN             \n",
       "1312    0.214843       0.157161          1500  1.514266e+09  0.557488         2.409130                    NaN                     NaN                             NaN             \n",
       "1400    0.223496       0.164762          1600  1.514266e+09  0.554611         2.390289                    NaN                     NaN                             NaN             \n",
       "1487    0.230693       0.171818          1700  1.514266e+09  0.540442         2.321552                    NaN                     NaN                             NaN             \n",
       "1575    0.234776       0.177697          1800  1.514266e+09  0.532153         2.279796                    NaN                     NaN                             NaN             \n",
       "1662    0.241846       0.183311          1900  1.514266e+09  0.525104         2.239923                    NaN                     NaN                             NaN             \n",
       "1750    0.239227       0.194433          2000  1.514266e+09  0.512535         2.179569                    NaN                     NaN                             NaN             \n",
       "1787    0.247514       0.197236          2043  1.514266e+09  0.507861         2.142945                    NaN                     NaN                             NaN             \n",
       "1837    0.250046       0.200658          2100  1.514267e+09  0.501882         2.130401                    NaN                     NaN                             NaN             \n",
       "1925    0.245512       0.211317          2200  1.514267e+09  0.495228         2.083688                    NaN                     NaN                             NaN             \n",
       "2012    0.245429       0.217690          2300  1.514267e+09  0.488714         2.054823                    NaN                     NaN                             NaN             \n",
       "2100    0.252849       0.226940          2400  1.514267e+09  0.477506         1.998231                    NaN                     NaN                             NaN             \n",
       "2187    0.263290       0.235549          2500  1.514267e+09  0.466079         1.950999                    NaN                     NaN                             NaN             \n",
       "2275    0.270981       0.247194          2600  1.514267e+09  0.458223         1.913177                    NaN                     NaN                             NaN             \n",
       "2362    0.272907       0.250935          2700  1.514267e+09  0.452276         1.874469                    NaN                     NaN                             NaN             \n",
       "2450    0.281899       0.259683          2800  1.514267e+09  0.443015         1.829301                    NaN                     NaN                             NaN             \n",
       "2537    0.291062       0.269852          2900  1.514267e+09  0.432362         1.786480                    NaN                     NaN                             NaN             \n",
       "2625    0.296991       0.280900          3000  1.514267e+09  0.423895         1.732636                    NaN                     NaN                             NaN             \n",
       "2712    0.304261       0.288393          3100  1.514267e+09  0.414873         1.696424                    NaN                     NaN                             NaN             \n",
       "2800    0.314171       0.297118          3200  1.514267e+09  0.407775         1.662596                    NaN                     NaN                             NaN             \n",
       "2887    0.328183       0.313639          3300  1.514268e+09  0.391182         1.589526                    NaN                     NaN                             NaN             \n",
       "2975    0.336159       0.323442          3400  1.514268e+09  0.384294         1.560532                    NaN                     NaN                             NaN             \n",
       "3062    0.346025       0.331126          3500  1.514268e+09  0.377802         1.524816                    NaN                     NaN                             NaN             \n",
       "3150    0.351391       0.338661          3600  1.514268e+09  0.371503         1.495178                    NaN                     NaN                             NaN             \n",
       "3237    0.366159       0.354231          3700  1.514268e+09  0.360051         1.440071                    NaN                     NaN                             NaN             \n",
       "3325    0.373289       0.358715          3800  1.514268e+09  0.354552         1.421142                    NaN                     NaN                             NaN             \n",
       "3412    0.389398       0.377851          3900  1.514268e+09  0.342379         1.363816                    NaN                     NaN                             NaN             \n",
       "3500    0.398662       0.384612          4000  1.514268e+09  0.335073         1.341348                    NaN                     NaN                             NaN             \n",
       "3575    0.401984       0.390167          4086  1.514268e+09  0.336105         1.333724                    NaN                     NaN                             NaN             \n",
       "3587    0.414852       0.411954          4100  1.514268e+09  0.323146         1.282918                    NaN                     NaN                             NaN             \n",
       "3675    0.420293       0.402419          4200  1.514268e+09  0.319817         1.271249                    NaN                     NaN                             NaN             \n",
       "3762    0.425742       0.411103          4300  1.514268e+09  0.317509         1.245812                    NaN                     NaN                             NaN             \n",
       "3850    0.442163       0.432813          4400  1.514269e+09  0.306081         1.202767                    NaN                     NaN                             NaN             \n",
       "3937    0.444956       0.434403          4500  1.514269e+09  0.305676         1.200729                    NaN                     NaN                             NaN             \n",
       "4025    0.457018       0.441022          4600  1.514269e+09  0.297821         1.167564                    NaN                     NaN                             NaN             \n",
       "4112    0.467698       0.450852          4700  1.514269e+09  0.291559         1.135133                    NaN                     NaN                             NaN             \n",
       "4200    0.469553       0.453341          4800  1.514269e+09  0.291195         1.136270                    NaN                     NaN                             NaN             \n",
       "4287    0.480618       0.469825          4900  1.514269e+09  0.282465         1.083823                    NaN                     NaN                             NaN             \n",
       "4375    0.482559       0.470133          5000  1.514269e+09  0.282078         1.094931                    NaN                     NaN                             NaN             \n",
       "4462    0.487874       0.470117          5100  1.514269e+09  0.281097         1.093704                    NaN                     NaN                             NaN             \n",
       "4550    0.503774       0.491653          5200  1.514269e+09  0.268720         1.027330                    NaN                     NaN                             NaN             \n",
       "4637    0.516989       0.504421          5300  1.514269e+09  0.259234         0.986067                    NaN                     NaN                             NaN             \n",
       "4725    0.526245       0.510525          5400  1.514269e+09  0.253759         0.959393                    NaN                     NaN                             NaN             \n",
       "4812    0.532275       0.519798          5500  1.514270e+09  0.251554         0.958554                    NaN                     NaN                             NaN             \n",
       "4900    0.544408       0.535179          5600  1.514270e+09  0.242341         0.904836                    NaN                     NaN                             NaN             \n",
       "4987    0.549669       0.531497          5700  1.514270e+09  0.240591         0.900188                    NaN                     NaN                             NaN             \n",
       "5075    0.552610       0.535350          5800  1.514270e+09  0.238935         0.889871                    NaN                     NaN                             NaN             \n",
       "5162    0.562905       0.545309          5900  1.514270e+09  0.233005         0.869659                    NaN                     NaN                             NaN             \n",
       "5250    0.562393       0.545512          6000  1.514270e+09  0.233781         0.862200                    NaN                     NaN                             NaN             \n",
       "5337    0.578430       0.557204          6100  1.514270e+09  0.223837         0.826742                    NaN                     NaN                             NaN             \n",
       "5362    0.589383       0.577649          6128  1.514270e+09  0.217076         0.799968                    NaN                     NaN                             NaN             \n",
       "5425    0.587191       0.568100          6200  1.514270e+09  0.218489         0.793282                    NaN                     NaN                             NaN             \n",
       "5512    0.596190       0.574304          6300  1.514270e+09  0.213484         0.781246                    NaN                     NaN                             NaN             \n",
       "5600    0.592758       0.576037          6400  1.514270e+09  0.217426         0.804647                    NaN                     NaN                             NaN             \n",
       "5687    0.615010       0.598530          6500  1.514270e+09  0.201593         0.726817                    NaN                     NaN                             NaN             \n",
       "5775    0.614482       0.598448          6600  1.514271e+09  0.202580         0.735519                    NaN                     NaN                             NaN             \n",
       "5862    0.601180       0.578362          6700  1.514271e+09  0.213072         0.772335                    NaN                     NaN                             NaN             \n",
       "5950    0.622307       0.605749          6800  1.514271e+09  0.198752         0.709398                    NaN                     NaN                             NaN             \n",
       "6037    0.618565       0.594289          6900  1.514271e+09  0.203247         0.731486                    NaN                     NaN                             NaN             \n",
       "6125    0.618575       0.601496          7000  1.514271e+09  0.202276         0.724584                    NaN                     NaN                             NaN             \n",
       "6212    0.638910       0.618223          7100  1.514271e+09  0.189471         0.669698                    NaN                     NaN                             NaN             \n",
       "6300    0.648438       0.633564          7200  1.514271e+09  0.183500         0.641026                    NaN                     NaN                             NaN             \n",
       "6387    0.630209       0.605912          7300  1.514271e+09  0.195540         0.694712                    NaN                     NaN                             NaN             \n",
       "6475    0.647699       0.631475          7400  1.514271e+09  0.185659         0.644745                    NaN                     NaN                             NaN             \n",
       "6562    0.637811       0.619087          7500  1.514271e+09  0.192646         0.680006                    NaN                     NaN                             NaN             \n",
       "6650    0.666120       0.645567          7600  1.514271e+09  0.174540         0.603845                    NaN                     NaN                             NaN             \n",
       "6737    0.668261       0.650118          7700  1.514272e+09  0.173526         0.596944                    NaN                     NaN                             NaN             \n",
       "6825    0.672057       0.651411          7800  1.514272e+09  0.172332         0.597685                    NaN                     NaN                             NaN             \n",
       "6912    0.679060       0.660712          7900  1.514272e+09  0.168735         0.577931                    NaN                     NaN                             NaN             \n",
       "7000    0.672749       0.657528          8000  1.514272e+09  0.173200         0.594197                    NaN                     NaN                             NaN             \n",
       "7087    0.683441       0.668417          8100  1.514272e+09  0.166470         0.564106                    NaN                     NaN                             NaN             \n",
       "7150    0.685180       0.666195          8172  1.514272e+09  0.165297         0.566971                    NaN                     NaN                             NaN             \n",
       "7175    0.697959       0.671630          8200  1.514272e+09  0.157718         0.525448                    NaN                     NaN                             NaN             \n",
       "7262    0.695860       0.678559          8300  1.514272e+09  0.159443         0.533953                    NaN                     NaN                             NaN             \n",
       "7350    0.691428       0.676351          8400  1.514272e+09  0.162845         0.552721                    NaN                     NaN                             NaN             \n",
       "7437    0.725913       0.712232          8500  1.514272e+09  0.140899         0.461846                    NaN                     NaN                             NaN             \n",
       "7525    0.687565       0.661935          8600  1.514272e+09  0.166717         0.576502                    NaN                     NaN                             NaN             \n",
       "7612    0.708706       0.687985          8700  1.514272e+09  0.152251         0.502884                    NaN                     NaN                             NaN             \n",
       "7700    0.724165       0.703283          8800  1.514273e+09  0.142455         0.464735                    NaN                     NaN                             NaN             \n",
       "7787    0.716252       0.703284          8900  1.514273e+09  0.148658         0.490353                    NaN                     NaN                             NaN             \n",
       "7875    0.720846       0.700975          9000  1.514273e+09  0.145490         0.475208                    NaN                     NaN                             NaN             \n",
       "7962    0.726194       0.712777          9100  1.514273e+09  0.141889         0.458871                    NaN                     NaN                             NaN             \n",
       "8050    0.719822       0.697438          9200  1.514273e+09  0.146937         0.482779                    NaN                     NaN                             NaN             \n",
       "8137    0.721687       0.705633          9300  1.514273e+09  0.145391         0.468518                    NaN                     NaN                             NaN             \n",
       "8225    0.739031       0.722226          9400  1.514273e+09  0.135255         0.433397                    NaN                     NaN                             NaN             \n",
       "8312    0.726384       0.707437          9500  1.514273e+09  0.143779         0.475208                    NaN                     NaN                             NaN             \n",
       "8400    0.733760       0.710574          9600  1.514273e+09  0.138600         0.437566                    NaN                     NaN                             NaN             \n",
       "8487    0.746517       0.729806          9700  1.514273e+09  0.131088         0.415185                    NaN                     NaN                             NaN             \n",
       "8575    0.741041       0.722550          9800  1.514274e+09  0.134846         0.427912                    NaN                     NaN                             NaN             \n",
       "8662    0.748666       0.728239          9900  1.514274e+09  0.130030         0.413246                    NaN                     NaN                             NaN             \n",
       "8750    0.743456       0.727193         10000  1.514274e+09  0.133559         0.418998                    NaN                     NaN                             NaN             \n",
       "8837    0.750773       0.730375         10100  1.514274e+09  0.129639         0.408656                    NaN                     NaN                             NaN             \n",
       "8925    0.737783       0.717771         10200  1.514274e+09  0.137756         0.445697                    NaN                     NaN                             NaN             \n",
       "8938    0.743483       0.715664         10215  1.514274e+09  0.133990         0.421030                    NaN                     NaN                             NaN             \n",
       "9012    0.769702       0.754503         10300  1.514274e+09  0.118637         0.360950                    NaN                     NaN                             NaN             \n",
       "9100    0.763209       0.747760         10400  1.514274e+09  0.122506         0.375565                    NaN                     NaN                             NaN             \n",
       "9187    0.767744       0.749429         10500  1.514274e+09  0.120627         0.364184                    NaN                     NaN                             NaN             \n",
       "9275    0.768231       0.748365         10600  1.514274e+09  0.120641         0.368972                    NaN                     NaN                             NaN             \n",
       "9362    0.767002       0.747286         10700  1.514274e+09  0.120667         0.368957                    NaN                     NaN                             NaN             \n",
       "9450    0.771656       0.756572         10800  1.514274e+09  0.118453         0.353592                    NaN                     NaN                             NaN             \n",
       "9537    0.776935       0.762930         10900  1.514275e+09  0.115708         0.343818                    NaN                     NaN                             NaN             \n",
       "9625    0.773938       0.756162         11000  1.514275e+09  0.117043         0.352358                    NaN                     NaN                             NaN             \n",
       "9712    0.777972       0.761050         11100  1.514275e+09  0.114576         0.346305                    NaN                     NaN                             NaN             \n",
       "9800    0.777929       0.762156         11200  1.514275e+09  0.115274         0.355647               0.779241                0.151183                        0.781426             \n",
       "9887    0.777716       0.763866         11300  1.514275e+09  0.115641         0.344439                    NaN                     NaN                             NaN             \n",
       "9975    0.774080       0.753875         11400  1.514275e+09  0.117593         0.351424                    NaN                     NaN                             NaN             \n",
       "10062   0.778375       0.760793         11500  1.514275e+09  0.114861         0.339827                    NaN                     NaN                             NaN             \n",
       "10150   0.778935       0.761044         11600  1.514275e+09  0.114771         0.337454                    NaN                     NaN                             NaN             \n",
       "10237   0.777947       0.759669         11700  1.514276e+09  0.116057         0.347533                    NaN                     NaN                             NaN             \n",
       "10325   0.749551       0.723449         11800  1.514276e+09  0.137654         0.475181                    NaN                     NaN                             NaN             \n",
       "10412   0.781254       0.764622         11900  1.514276e+09  0.113968         0.336829                    NaN                     NaN                             NaN             \n",
       "10500   0.781790       0.765504         12000  1.514276e+09  0.113853         0.338689                    NaN                     NaN                             NaN             \n",
       "10587   0.786972       0.769283         12100  1.514276e+09  0.110115         0.318332                    NaN                     NaN                             NaN             \n",
       "10675   0.786778       0.768911         12200  1.514276e+09  0.111318         0.329779                    NaN                     NaN                             NaN             \n",
       "10725   0.788119       0.769088         12258  1.514276e+09  0.109655         0.317491                    NaN                     NaN                             NaN             \n",
       "10762   0.807000       0.791829         12300  1.514276e+09  0.099522         0.294127                    NaN                     NaN                             NaN             \n",
       "10850   0.799821       0.784123         12400  1.514276e+09  0.103353         0.291574                    NaN                     NaN                             NaN             \n",
       "10937   0.805485       0.790262         12500  1.514276e+09  0.100010         0.278867                    NaN                     NaN                             NaN             \n",
       "11025   0.798528       0.782075         12600  1.514276e+09  0.105051         0.296165                    NaN                     NaN                             NaN             \n",
       "11112   0.809422       0.790668         12700  1.514276e+09  0.097560         0.268607                    NaN                     NaN                             NaN             \n",
       "11200   0.801088       0.786305         12800  1.514277e+09  0.103759         0.301425                    NaN                     NaN                             NaN             \n",
       "11287   0.797890       0.782183         12900  1.514277e+09  0.104737         0.296099                    NaN                     NaN                             NaN             \n",
       "11375   0.803728       0.787398         13000  1.514277e+09  0.101891         0.281012                    NaN                     NaN                             NaN             \n",
       "11462   0.809226       0.796324         13100  1.514277e+09  0.098530         0.274603                    NaN                     NaN                             NaN             \n",
       "11550   0.816038       0.802817         13200  1.514277e+09  0.095007         0.262388                    NaN                     NaN                             NaN             \n",
       "11637   0.809140       0.796474         13300  1.514277e+09  0.098336         0.271350                    NaN                     NaN                             NaN             \n",
       "11725   0.813338       0.796163         13400  1.514277e+09  0.096238         0.265125                    NaN                     NaN                             NaN             \n",
       "11812   0.809065       0.789293         13500  1.514277e+09  0.098521         0.265008                    NaN                     NaN                             NaN             \n",
       "11900   0.810452       0.795541         13600  1.514277e+09  0.097929         0.268727                    NaN                     NaN                             NaN             \n",
       "11987   0.811285       0.793998         13700  1.514277e+09  0.097922         0.265733                    NaN                     NaN                             NaN             \n",
       "12075   0.812540       0.798773         13800  1.514278e+09  0.097095         0.264960                    NaN                     NaN                             NaN             \n",
       "12162   0.806770       0.793792         13900  1.514278e+09  0.101673         0.298318                    NaN                     NaN                             NaN             \n",
       "12250   0.815598       0.800303         14000  1.514278e+09  0.096606         0.265344                    NaN                     NaN                             NaN             \n",
       "12337   0.813755       0.800812         14100  1.514278e+09  0.096562         0.263720                    NaN                     NaN                             NaN             \n",
       "12425   0.817058       0.803377         14200  1.514278e+09  0.094268         0.255361                    NaN                     NaN                             NaN             \n",
       "12512   0.808929       0.796491         14300  1.514278e+09  0.099544         0.279877                    NaN                     NaN                             NaN             \n",
       "12513   0.847758       0.853455         14301  1.514278e+09  0.073868         0.247928                    NaN                     NaN                             NaN             \n",
       "12600   0.810721       0.798466         14400  1.514278e+09  0.100204         0.295110                    NaN                     NaN                             NaN             \n",
       "12687   0.824336       0.807513         14500  1.514278e+09  0.091057         0.240501                    NaN                     NaN                             NaN             \n",
       "12775   0.823092       0.805881         14600  1.514278e+09  0.091569         0.242462                    NaN                     NaN                             NaN             \n",
       "12862   0.826808       0.810583         14700  1.514278e+09  0.090010         0.233607                    NaN                     NaN                             NaN             \n",
       "12950   0.833794       0.821792         14800  1.514278e+09  0.085349         0.219571                    NaN                     NaN                             NaN             \n",
       "13037   0.837360       0.822994         14900  1.514279e+09  0.083559         0.215732                    NaN                     NaN                             NaN             \n",
       "13125   0.829883       0.816602         15000  1.514279e+09  0.087731         0.226935                    NaN                     NaN                             NaN             \n",
       "13212   0.834485       0.819773         15100  1.514279e+09  0.085020         0.220397                    NaN                     NaN                             NaN             \n",
       "13300   0.833560       0.821212         15200  1.514279e+09  0.085972         0.221767                    NaN                     NaN                             NaN             \n",
       "13387   0.832849       0.817594         15300  1.514279e+09  0.086135         0.220375                    NaN                     NaN                             NaN             \n",
       "13475   0.832871       0.821496         15400  1.514279e+09  0.086257         0.218698                    NaN                     NaN                             NaN             \n",
       "13562   0.833760       0.823915         15500  1.514279e+09  0.085486         0.219851                    NaN                     NaN                             NaN             \n",
       "13650   0.834055       0.822010         15600  1.514279e+09  0.085977         0.214139                    NaN                     NaN                             NaN             \n",
       "13737   0.830928       0.814308         15700  1.514279e+09  0.087769         0.224315                    NaN                     NaN                             NaN             \n",
       "13825   0.831544       0.821474         15800  1.514279e+09  0.087681         0.221732                    NaN                     NaN                             NaN             \n",
       "13912   0.824302       0.809410         15900  1.514279e+09  0.091728         0.233284                    NaN                     NaN                             NaN             \n",
       "14000   0.825650       0.809971         16000  1.514280e+09  0.091131         0.237124                    NaN                     NaN                             NaN             \n",
       "14087   0.831926       0.816849         16100  1.514280e+09  0.087087         0.220921                    NaN                     NaN                             NaN             \n",
       "14175   0.833264       0.822449         16200  1.514280e+09  0.085910         0.218882                    NaN                     NaN                             NaN             \n",
       "14262   0.832888       0.819444         16300  1.514280e+09  0.086770         0.222712                    NaN                     NaN                             NaN             \n",
       "14301   0.836191       0.819823         16344  1.514280e+09  0.084618         0.215807                    NaN                     NaN                             NaN             \n",
       "14350   0.857376       0.848747         16400  1.514280e+09  0.073327         0.179595                    NaN                     NaN                             NaN             \n",
       "14437   0.847329       0.833584         16500  1.514280e+09  0.079248         0.188162                    NaN                     NaN                             NaN             \n",
       "14525   0.844188       0.832363         16600  1.514280e+09  0.080992         0.198393                    NaN                     NaN                             NaN             \n",
       "14612   0.846883       0.829935         16700  1.514280e+09  0.079590         0.194437                    NaN                     NaN                             NaN             \n",
       "14700   0.842098       0.828630         16800  1.514280e+09  0.081663         0.198166                    NaN                     NaN                             NaN             \n",
       "14787   0.844670       0.831166         16900  1.514280e+09  0.080664         0.192783                    NaN                     NaN                             NaN             \n",
       "14875   0.846269       0.836159         17000  1.514281e+09  0.079167         0.191255                    NaN                     NaN                             NaN             \n",
       "14962   0.845526       0.828271         17100  1.514281e+09  0.080686         0.195531                    NaN                     NaN                             NaN             \n",
       "15050   0.841188       0.830297         17200  1.514281e+09  0.082655         0.199397                    NaN                     NaN                             NaN             \n",
       "15137   0.849195       0.838704         17300  1.514281e+09  0.078003         0.183058                    NaN                     NaN                             NaN             \n",
       "15225   0.844585       0.834746         17400  1.514281e+09  0.080722         0.191071                    NaN                     NaN                             NaN             \n",
       "15312   0.848608       0.838427         17500  1.514281e+09  0.078748         0.191234                    NaN                     NaN                             NaN             \n",
       "15400   0.845083       0.834703         17600  1.514281e+09  0.080682         0.193198                    NaN                     NaN                             NaN             \n",
       "15487   0.850289       0.835960         17700  1.514281e+09  0.077330         0.185777                    NaN                     NaN                             NaN             \n",
       "15575   0.848153       0.831070         17800  1.514281e+09  0.078780         0.188689                    NaN                     NaN                             NaN             \n",
       "15662   0.844915       0.831052         17900  1.514281e+09  0.080610         0.195261                    NaN                     NaN                             NaN             \n",
       "15750   0.842246       0.830835         18000  1.514281e+09  0.082068         0.198709                    NaN                     NaN                             NaN             \n",
       "15837   0.851382       0.841596         18100  1.514282e+09  0.076800         0.180954                    NaN                     NaN                             NaN             \n",
       "15925   0.848195       0.835860         18200  1.514282e+09  0.078438         0.186814                    NaN                     NaN                             NaN             \n",
       "16012   0.843780       0.827367         18300  1.514282e+09  0.081172         0.194193                    NaN                     NaN                             NaN             \n",
       "16088   0.856842       0.846431         18387  1.514282e+09  0.073974         0.172446                    NaN                     NaN                             NaN             \n",
       "16100   0.872018       0.864938         18400  1.514282e+09  0.065851         0.145455                    NaN                     NaN                             NaN             \n",
       "16187   0.857234       0.841426         18500  1.514282e+09  0.074137         0.166728                    NaN                     NaN                             NaN             \n",
       "16275   0.856600       0.846436         18600  1.514282e+09  0.075081         0.169314                    NaN                     NaN                             NaN             \n",
       "16362   0.854097       0.843036         18700  1.514282e+09  0.076043         0.178564                    NaN                     NaN                             NaN             \n",
       "16450   0.856301       0.844508         18800  1.514282e+09  0.074840         0.165332                    NaN                     NaN                             NaN             \n",
       "16537   0.854987       0.844944         18900  1.514282e+09  0.075424         0.175463                    NaN                     NaN                             NaN             \n",
       "16625   0.861295       0.847644         19000  1.514282e+09  0.072330         0.163247                    NaN                     NaN                             NaN             \n",
       "16712   0.858317       0.846846         19100  1.514283e+09  0.073457         0.164224                    NaN                     NaN                             NaN             \n",
       "16800   0.854807       0.837475         19200  1.514283e+09  0.075986         0.175495                    NaN                     NaN                             NaN             \n",
       "16887   0.860334       0.849049         19300  1.514283e+09  0.072440         0.160007                    NaN                     NaN                             NaN             \n",
       "16975   0.852022       0.841291         19400  1.514283e+09  0.077637         0.186593               0.848859                0.089177                        0.852130             \n",
       "17062   0.858445       0.846593         19500  1.514283e+09  0.073797         0.172461                    NaN                     NaN                             NaN             \n",
       "17150   0.860070       0.845769         19600  1.514283e+09  0.072748         0.165424                    NaN                     NaN                             NaN             \n",
       "17237   0.853530       0.839846         19700  1.514283e+09  0.076491         0.177011                    NaN                     NaN                             NaN             \n",
       "17325   0.858872       0.849106         19800  1.514283e+09  0.073340         0.162572                    NaN                     NaN                             NaN             \n",
       "17412   0.865026       0.853594         19900  1.514283e+09  0.070120         0.156597                    NaN                     NaN                             NaN             \n",
       "17500   0.859018       0.847673         20000  1.514284e+09  0.073402         0.162245                    NaN                     NaN                             NaN             \n",
       "17587   0.862833       0.855291         20100  1.514284e+09  0.070951         0.155987                    NaN                     NaN                             NaN             \n",
       "17675   0.860928       0.849407         20200  1.514284e+09  0.072111         0.158720                    NaN                     NaN                             NaN             \n",
       "17762   0.858459       0.845137         20300  1.514284e+09  0.073387         0.164160                    NaN                     NaN                             NaN             \n",
       "17850   0.862119       0.849675         20400  1.514284e+09  0.071448         0.162069                    NaN                     NaN                             NaN             \n",
       "17876   0.855867       0.847897         20430  1.514284e+09  0.074689         0.166060                    NaN                     NaN                             NaN             \n",
       "17937   0.864076       0.852719         20500  1.514284e+09  0.071347         0.153407                    NaN                     NaN                             NaN             \n",
       "18025   0.865052       0.852973         20600  1.514284e+09  0.070768         0.146950                    NaN                     NaN                             NaN             \n",
       "18112   0.866211       0.855259         20700  1.514284e+09  0.069584         0.151602                    NaN                     NaN                             NaN             \n",
       "18200   0.865665       0.854805         20800  1.514284e+09  0.070203         0.149704                    NaN                     NaN                             NaN             \n",
       "18287   0.870592       0.858856         20900  1.514284e+09  0.067305         0.147222                    NaN                     NaN                             NaN             \n",
       "18375   0.862172       0.850706         21000  1.514285e+09  0.072140         0.156591                    NaN                     NaN                             NaN             \n",
       "18462   0.864418       0.852212         21100  1.514285e+09  0.071055         0.155249                    NaN                     NaN                             NaN             \n",
       "18550   0.868331       0.855322         21200  1.514285e+09  0.068634         0.143123                    NaN                     NaN                             NaN             \n",
       "18637   0.869103       0.858832         21300  1.514285e+09  0.068171         0.143220                    NaN                     NaN                             NaN             \n",
       "18725   0.870889       0.857977         21400  1.514285e+09  0.067182         0.141784                    NaN                     NaN                             NaN             \n",
       "18812   0.864497       0.851362         21500  1.514285e+09  0.070841         0.149663                    NaN                     NaN                             NaN             \n",
       "18900   0.870085       0.858619         21600  1.514285e+09  0.067834         0.144384                    NaN                     NaN                             NaN             \n",
       "18987   0.871406       0.862240         21700  1.514285e+09  0.067058         0.137862                    NaN                     NaN                             NaN             \n",
       "19075   0.870841       0.861926         21800  1.514285e+09  0.066810         0.139261                    NaN                     NaN                             NaN             \n",
       "19162   0.866570       0.854747         21900  1.514285e+09  0.069532         0.146777                    NaN                     NaN                             NaN             \n",
       "19250   0.869398       0.860149         22000  1.514285e+09  0.067707         0.144302                    NaN                     NaN                             NaN             \n",
       "19337   0.870568       0.859562         22100  1.514286e+09  0.067308         0.143180                    NaN                     NaN                             NaN             \n",
       "19425   0.871529       0.862714         22200  1.514286e+09  0.066482         0.140798                    NaN                     NaN                             NaN             \n",
       "19512   0.860228       0.846502         22300  1.514286e+09  0.073784         0.167837                    NaN                     NaN                             NaN             \n",
       "19600   0.866397       0.855245         22400  1.514286e+09  0.069698         0.149828                    NaN                     NaN                             NaN             \n",
       "19663   0.873068       0.863178         22472  1.514286e+09  0.066027         0.138022                    NaN                     NaN                             NaN             \n",
       "19687   0.884014       0.877670         22500  1.514286e+09  0.060830         0.122096                    NaN                     NaN                             NaN             \n",
       "19775   0.875994       0.864706         22600  1.514286e+09  0.064769         0.128176                    NaN                     NaN                             NaN             \n",
       "19862   0.877279       0.865071         22700  1.514286e+09  0.064292         0.127243                    NaN                     NaN                             NaN             \n",
       "19950   0.875140       0.864333         22800  1.514286e+09  0.065541         0.127881                    NaN                     NaN                             NaN             \n",
       "20037   0.872953       0.862238         22900  1.514286e+09  0.066701         0.137487                    NaN                     NaN                             NaN             \n",
       "20125   0.877745       0.866314         23000  1.514286e+09  0.064006         0.127924                    NaN                     NaN                             NaN             \n",
       "20212   0.875652       0.864975         23100  1.514286e+09  0.064622         0.130773                    NaN                     NaN                             NaN             \n",
       "20300   0.874156       0.861942         23200  1.514287e+09  0.065678         0.133570                    NaN                     NaN                             NaN             \n",
       "20387   0.878411       0.866845         23300  1.514287e+09  0.063639         0.124244                    NaN                     NaN                             NaN             \n",
       "20475   0.874893       0.865559         23400  1.514287e+09  0.065448         0.131469                    NaN                     NaN                             NaN             \n",
       "20562   0.878204       0.870267         23500  1.514287e+09  0.063812         0.126959                    NaN                     NaN                             NaN             \n",
       "20650   0.874435       0.860836         23600  1.514287e+09  0.065981         0.135300                    NaN                     NaN                             NaN             \n",
       "20737   0.875278       0.865201         23700  1.514287e+09  0.065168         0.128757                    NaN                     NaN                             NaN             \n",
       "20825   0.871810       0.861256         23800  1.514287e+09  0.067179         0.134535                    NaN                     NaN                             NaN             \n",
       "20912   0.869016       0.856547         23900  1.514287e+09  0.068823         0.141349                    NaN                     NaN                             NaN             \n",
       "21000   0.876910       0.869627         24000  1.514287e+09  0.064143         0.126005                    NaN                     NaN                             NaN             \n",
       "21087   0.875894       0.865573         24100  1.514287e+09  0.064608         0.126463                    NaN                     NaN                             NaN             \n",
       "21175   0.871387       0.857064         24200  1.514288e+09  0.067682         0.139500                    NaN                     NaN                             NaN             \n",
       "21262   0.871151       0.856831         24300  1.514288e+09  0.067883         0.138967                    NaN                     NaN                             NaN             \n",
       "21350   0.878314       0.868459         24400  1.514288e+09  0.063430         0.127222                    NaN                     NaN                             NaN             \n",
       "21437   0.874389       0.861394         24500  1.514288e+09  0.066045         0.136881                    NaN                     NaN                             NaN             \n",
       "21451   0.857439       0.840937         24516  1.514288e+09  0.074822         0.160002                    NaN                     NaN                             NaN             \n",
       "21525   0.880909       0.869084         24600  1.514288e+09  0.062516         0.121405                    NaN                     NaN                             NaN             \n",
       "21612   0.889117       0.880327         24700  1.514288e+09  0.058145         0.106715                    NaN                     NaN                             NaN             \n",
       "21700   0.882240       0.870097         24800  1.514288e+09  0.061732         0.120962                    NaN                     NaN                             NaN             \n",
       "21787   0.886442       0.877326         24900  1.514288e+09  0.059577         0.113193                    NaN                     NaN                             NaN             \n",
       "21875   0.886194       0.875998         25000  1.514288e+09  0.059906         0.111306                    NaN                     NaN                             NaN             \n",
       "21962   0.880743       0.866917         25100  1.514288e+09  0.062589         0.118900                    NaN                     NaN                             NaN             \n",
       "22050   0.877420       0.864801         25200  1.514288e+09  0.064652         0.124975                    NaN                     NaN                             NaN             \n",
       "22137   0.879995       0.868708         25300  1.514289e+09  0.062998         0.118357                    NaN                     NaN                             NaN             \n",
       "22225   0.878978       0.869455         25400  1.514289e+09  0.063568         0.119201                    NaN                     NaN                             NaN             \n",
       "22312   0.876953       0.863994         25500  1.514289e+09  0.064397         0.126428                    NaN                     NaN                             NaN             \n",
       "22400   0.883764       0.870942         25600  1.514289e+09  0.060852         0.116682                    NaN                     NaN                             NaN             \n",
       "22487   0.879785       0.870454         25700  1.514289e+09  0.063390         0.119596                    NaN                     NaN                             NaN             \n",
       "22575   0.883495       0.875079         25800  1.514289e+09  0.060923         0.112200                    NaN                     NaN                             NaN             \n",
       "22662   0.881962       0.869956         25900  1.514289e+09  0.061818         0.115743                    NaN                     NaN                             NaN             \n",
       "22750   0.880369       0.872245         26000  1.514289e+09  0.062698         0.116040                    NaN                     NaN                             NaN             \n",
       "22837   0.880649       0.869218         26100  1.514289e+09  0.062522         0.118721                    NaN                     NaN                             NaN             \n",
       "22925   0.879865       0.869868         26200  1.514289e+09  0.062925         0.119573                    NaN                     NaN                             NaN             \n",
       "23012   0.876711       0.865251         26300  1.514289e+09  0.064721         0.124165                    NaN                     NaN                             NaN             \n",
       "23100   0.878693       0.868079         26400  1.514290e+09  0.064098         0.120040                    NaN                     NaN                             NaN             \n",
       "23187   0.876049       0.867041         26500  1.514290e+09  0.065314         0.125011                    NaN                     NaN                             NaN             \n",
       "23239   0.877509       0.866735         26559  1.514290e+09  0.064536         0.125904                    NaN                     NaN                             NaN             \n",
       "23275   0.886335       0.871980         26600  1.514290e+09  0.060076         0.110656                    NaN                     NaN                             NaN             \n",
       "23362   0.883778       0.875521         26700  1.514290e+09  0.061436         0.108899                    NaN                     NaN                             NaN             \n",
       "23450   0.884858       0.876360         26800  1.514290e+09  0.060733         0.108866                    NaN                     NaN                             NaN             \n",
       "23537   0.887643       0.876913         26900  1.514290e+09  0.059235         0.106193                    NaN                     NaN                             NaN             \n",
       "23625   0.889850       0.880345         27000  1.514290e+09  0.058037         0.103158                    NaN                     NaN                             NaN             \n",
       "23712   0.889089       0.878097         27100  1.514290e+09  0.058434         0.104845                    NaN                     NaN                             NaN             \n",
       "23800   0.881684       0.869962         27200  1.514290e+09  0.062435         0.116543                    NaN                     NaN                             NaN             \n",
       "23887   0.889414       0.880876         27300  1.514290e+09  0.057876         0.103763                    NaN                     NaN                             NaN             \n",
       "23975   0.886890       0.877753         27400  1.514291e+09  0.059606         0.106351                    NaN                     NaN                             NaN             \n",
       "24062   0.886099       0.875212         27500  1.514291e+09  0.060266         0.108035                    NaN                     NaN                             NaN             \n",
       "24150   0.884508       0.872081         27600  1.514291e+09  0.060762         0.112719               0.872262                0.076264                        0.873597             \n",
       "24237   0.884518       0.874229         27700  1.514291e+09  0.060856         0.112106                    NaN                     NaN                             NaN             \n",
       "24325   0.887623       0.876288         27800  1.514291e+09  0.059178         0.105653                    NaN                     NaN                             NaN             \n",
       "24412   0.882586       0.871778         27900  1.514291e+09  0.061988         0.114170                    NaN                     NaN                             NaN             \n",
       "24500   0.881597       0.870744         28000  1.514291e+09  0.062622         0.113877                    NaN                     NaN                             NaN             \n",
       "24587   0.888670       0.880897         28100  1.514291e+09  0.058602         0.102348                    NaN                     NaN                             NaN             \n",
       "24675   0.889629       0.881682         28200  1.514292e+09  0.057373         0.105808                    NaN                     NaN                             NaN             \n",
       "24762   0.885977       0.875019         28300  1.514292e+09  0.059791         0.111816                    NaN                     NaN                             NaN             \n",
       "24850   0.885540       0.875755         28400  1.514292e+09  0.060152         0.109791                    NaN                     NaN                             NaN             \n",
       "24937   0.879658       0.867527         28500  1.514292e+09  0.063770         0.119375                    NaN                     NaN                             NaN             \n",
       "25025   0.883613       0.873118         28600  1.514292e+09  0.061200         0.112927                    NaN                     NaN                             NaN             \n",
       "25026   0.864700       0.857945         28602  1.514292e+09  0.072023         0.160389                    NaN                     NaN                             NaN             \n",
       "...               ...             ...     ...           ...              ...                    ...                     ...                             ...                    ...\n",
       "162225  0.936253       0.931023        185400  1.514465e+09  0.037262         0.017950                    NaN                     NaN                             NaN             \n",
       "162312  0.937708       0.933206        185500  1.514465e+09  0.036278         0.014013                    NaN                     NaN                             NaN             \n",
       "162400  0.938840       0.933849        185600  1.514465e+09  0.035679         0.013831                    NaN                     NaN                             NaN             \n",
       "162487  0.937895       0.934395        185700  1.514465e+09  0.036284         0.012843                    NaN                     NaN                             NaN             \n",
       "162575  0.938727       0.933948        185800  1.514465e+09  0.035938         0.013071                    NaN                     NaN                             NaN             \n",
       "162662  0.937366       0.932006        185900  1.514466e+09  0.036421         0.016063                    NaN                     NaN                             NaN             \n",
       "162673  0.935902       0.932742        185912  1.514466e+09  0.037566         0.015115               0.887955                0.069345                        0.884049             \n",
       "162750  0.938912       0.934965        186000  1.514466e+09  0.035534         0.014920                    NaN                     NaN                             NaN             \n",
       "162837  0.940580       0.936172        186100  1.514466e+09  0.034773         0.014519                    NaN                     NaN                             NaN             \n",
       "162925  0.938069       0.932824        186200  1.514466e+09  0.036108         0.014072                    NaN                     NaN                             NaN             \n",
       "163012  0.936836       0.932605        186300  1.514466e+09  0.036882         0.013170                    NaN                     NaN                             NaN             \n",
       "163100  0.938383       0.933276        186400  1.514466e+09  0.036213         0.013985                    NaN                     NaN                             NaN             \n",
       "163187  0.941097       0.935815        186500  1.514466e+09  0.034877         0.013943                    NaN                     NaN                             NaN             \n",
       "163275  0.937788       0.934194        186600  1.514466e+09  0.036493         0.013852                    NaN                     NaN                             NaN             \n",
       "163362  0.936534       0.931860        186700  1.514467e+09  0.037037         0.014495                    NaN                     NaN                             NaN             \n",
       "163450  0.938962       0.934715        186800  1.514467e+09  0.035551         0.013916                    NaN                     NaN                             NaN             \n",
       "163537  0.941014       0.937045        186900  1.514467e+09  0.034458         0.014531                    NaN                     NaN                             NaN             \n",
       "163625  0.939887       0.935727        187000  1.514467e+09  0.035163         0.013068                    NaN                     NaN                             NaN             \n",
       "163712  0.935358       0.931811        187100  1.514467e+09  0.037612         0.014708                    NaN                     NaN                             NaN             \n",
       "163800  0.936895       0.931740        187200  1.514467e+09  0.037020         0.014136                    NaN                     NaN                             NaN             \n",
       "163887  0.938761       0.932161        187300  1.514467e+09  0.035636         0.014671                    NaN                     NaN                             NaN             \n",
       "163975  0.938611       0.933765        187400  1.514467e+09  0.035894         0.014555                    NaN                     NaN                             NaN             \n",
       "164062  0.936385       0.932063        187500  1.514467e+09  0.037344         0.014940                    NaN                     NaN                             NaN             \n",
       "164150  0.938724       0.934487        187600  1.514467e+09  0.035890         0.014588                    NaN                     NaN                             NaN             \n",
       "164237  0.937201       0.933006        187700  1.514467e+09  0.036601         0.014478                    NaN                     NaN                             NaN             \n",
       "164325  0.936512       0.931421        187800  1.514468e+09  0.036954         0.014412                    NaN                     NaN                             NaN             \n",
       "164412  0.938395       0.934105        187900  1.514468e+09  0.036075         0.014869                    NaN                     NaN                             NaN             \n",
       "164461  0.938532       0.933965        187956  1.514468e+09  0.036102         0.015580               0.885860                0.070383                        0.882692             \n",
       "164500  0.941226       0.937898        188000  1.514468e+09  0.034434         0.010823                    NaN                     NaN                             NaN             \n",
       "164587  0.937285       0.933320        188100  1.514468e+09  0.036875         0.013992                    NaN                     NaN                             NaN             \n",
       "164675  0.940454       0.936431        188200  1.514468e+09  0.034818         0.013496                    NaN                     NaN                             NaN             \n",
       "164762  0.940942       0.937298        188300  1.514468e+09  0.034450         0.012741                    NaN                     NaN                             NaN             \n",
       "164850  0.937756       0.932666        188400  1.514468e+09  0.036320         0.014288                    NaN                     NaN                             NaN             \n",
       "164937  0.937922       0.933229        188500  1.514468e+09  0.036279         0.013931                    NaN                     NaN                             NaN             \n",
       "165025  0.939520       0.934651        188600  1.514468e+09  0.035330         0.014031                    NaN                     NaN                             NaN             \n",
       "165112  0.939160       0.934575        188700  1.514469e+09  0.035693         0.013639                    NaN                     NaN                             NaN             \n",
       "165200  0.937337       0.932966        188800  1.514469e+09  0.036578         0.016399                    NaN                     NaN                             NaN             \n",
       "165287  0.937785       0.932154        188900  1.514469e+09  0.036386         0.014989                    NaN                     NaN                             NaN             \n",
       "165375  0.936871       0.932519        189000  1.514469e+09  0.036644         0.014621                    NaN                     NaN                             NaN             \n",
       "165462  0.939952       0.934385        189100  1.514469e+09  0.034942         0.015039                    NaN                     NaN                             NaN             \n",
       "165550  0.937461       0.932156        189200  1.514469e+09  0.036561         0.017754                    NaN                     NaN                             NaN             \n",
       "165637  0.938693       0.933908        189300  1.514469e+09  0.035796         0.014177                    NaN                     NaN                             NaN             \n",
       "165725  0.937007       0.931704        189400  1.514469e+09  0.037122         0.013384                    NaN                     NaN                             NaN             \n",
       "165812  0.939157       0.934912        189500  1.514469e+09  0.035767         0.014236                    NaN                     NaN                             NaN             \n",
       "165900  0.938531       0.934919        189600  1.514469e+09  0.036079         0.013551                    NaN                     NaN                             NaN             \n",
       "165987  0.937816       0.933136        189700  1.514470e+09  0.036358         0.014685                    NaN                     NaN                             NaN             \n",
       "166075  0.935905       0.931185        189800  1.514470e+09  0.037511         0.013475                    NaN                     NaN                             NaN             \n",
       "166162  0.939216       0.933561        189900  1.514470e+09  0.035357         0.015045                    NaN                     NaN                             NaN             \n",
       "166249  0.936631       0.932785        189999  1.514470e+09  0.036999         0.012982               0.889278                0.067528                        0.886662             \n",
       "166250  0.945453       0.945628        190000  1.514470e+09  0.033331         0.010942                    NaN                     NaN                             NaN             \n",
       "166337  0.940959       0.936371        190100  1.514470e+09  0.034571         0.014832                    NaN                     NaN                             NaN             \n",
       "166425  0.939987       0.935188        190200  1.514470e+09  0.035159         0.013206                    NaN                     NaN                             NaN             \n",
       "166512  0.940961       0.935806        190300  1.514470e+09  0.034433         0.013543                    NaN                     NaN                             NaN             \n",
       "166600  0.938400       0.932898        190400  1.514470e+09  0.035877         0.014464                    NaN                     NaN                             NaN             \n",
       "166687  0.936824       0.932257        190500  1.514470e+09  0.037084         0.013331                    NaN                     NaN                             NaN             \n",
       "166775  0.936626       0.933049        190600  1.514471e+09  0.037176         0.013714                    NaN                     NaN                             NaN             \n",
       "166862  0.940262       0.936731        190700  1.514471e+09  0.035120         0.012321                    NaN                     NaN                             NaN             \n",
       "166950  0.935960       0.930767        190800  1.514471e+09  0.037334         0.014642                    NaN                     NaN                             NaN             \n",
       "167037  0.938928       0.935048        190900  1.514471e+09  0.035760         0.012541                    NaN                     NaN                             NaN             \n",
       "167125  0.938955       0.934559        191000  1.514471e+09  0.035702         0.012850                    NaN                     NaN                             NaN             \n",
       "167212  0.938059       0.932840        191100  1.514471e+09  0.036224         0.013785                    NaN                     NaN                             NaN             \n",
       "167300  0.938082       0.934502        191200  1.514471e+09  0.036409         0.013199                    NaN                     NaN                             NaN             \n",
       "167387  0.938241       0.933965        191300  1.514471e+09  0.036146         0.012914                    NaN                     NaN                             NaN             \n",
       "167475  0.938602       0.933952        191400  1.514471e+09  0.035812         0.014380                    NaN                     NaN                             NaN             \n",
       "167562  0.940794       0.937328        191500  1.514471e+09  0.034663         0.012676                    NaN                     NaN                             NaN             \n",
       "167650  0.938002       0.934010        191600  1.514472e+09  0.036160         0.014087                    NaN                     NaN                             NaN             \n",
       "167737  0.937764       0.933460        191700  1.514472e+09  0.036361         0.014139                    NaN                     NaN                             NaN             \n",
       "167825  0.939096       0.933494        191800  1.514472e+09  0.035729         0.015129                    NaN                     NaN                             NaN             \n",
       "167912  0.937293       0.933521        191900  1.514472e+09  0.036771         0.013020                    NaN                     NaN                             NaN             \n",
       "168000  0.938364       0.934338        192000  1.514472e+09  0.036063         0.014335                    NaN                     NaN                             NaN             \n",
       "168036  0.935366       0.930712        192042  1.514472e+09  0.037625         0.014467               0.888387                0.068815                        0.884469             \n",
       "168087  0.938090       0.932489        192100  1.514472e+09  0.035925         0.014953                    NaN                     NaN                             NaN             \n",
       "168175  0.937599       0.932594        192200  1.514472e+09  0.036381         0.014382                    NaN                     NaN                             NaN             \n",
       "168262  0.937853       0.933188        192300  1.514472e+09  0.036394         0.014867                    NaN                     NaN                             NaN             \n",
       "168350  0.938927       0.933914        192400  1.514472e+09  0.035920         0.013700                    NaN                     NaN                             NaN             \n",
       "168437  0.938499       0.935370        192500  1.514473e+09  0.035875         0.013788                    NaN                     NaN                             NaN             \n",
       "168525  0.939669       0.935989        192600  1.514473e+09  0.035359         0.013173                    NaN                     NaN                             NaN             \n",
       "168612  0.940399       0.936234        192700  1.514473e+09  0.034903         0.013129                    NaN                     NaN                             NaN             \n",
       "168700  0.937492       0.934013        192800  1.514473e+09  0.036618         0.013033                    NaN                     NaN                             NaN             \n",
       "168787  0.939769       0.935104        192900  1.514473e+09  0.035263         0.013317                    NaN                     NaN                             NaN             \n",
       "168875  0.940479       0.935206        193000  1.514473e+09  0.034822         0.013813                    NaN                     NaN                             NaN             \n",
       "168962  0.940308       0.936294        193100  1.514473e+09  0.034805         0.013398                    NaN                     NaN                             NaN             \n",
       "169050  0.938250       0.934650        193200  1.514473e+09  0.036181         0.013433                    NaN                     NaN                             NaN             \n",
       "169137  0.935979       0.931573        193300  1.514473e+09  0.037492         0.013703                    NaN                     NaN                             NaN             \n",
       "169225  0.939558       0.936207        193400  1.514473e+09  0.035351         0.013805                    NaN                     NaN                             NaN             \n",
       "169312  0.937645       0.932841        193500  1.514474e+09  0.036563         0.014171                    NaN                     NaN                             NaN             \n",
       "169400  0.937292       0.933166        193600  1.514474e+09  0.036557         0.014340                    NaN                     NaN                             NaN             \n",
       "169487  0.938555       0.934237        193700  1.514474e+09  0.036356         0.013505                    NaN                     NaN                             NaN             \n",
       "169575  0.937981       0.931936        193800  1.514474e+09  0.036325         0.013696                    NaN                     NaN                             NaN             \n",
       "169662  0.939126       0.934568        193900  1.514474e+09  0.035795         0.013005                    NaN                     NaN                             NaN             \n",
       "169750  0.938315       0.934071        194000  1.514474e+09  0.035830         0.013777                    NaN                     NaN                             NaN             \n",
       "169824  0.935818       0.931377        194085  1.514474e+09  0.037357         0.016207               0.888242                0.069413                        0.883914             \n",
       "169837  0.946797       0.946585        194100  1.514474e+09  0.031477         0.007855                    NaN                     NaN                             NaN             \n",
       "169925  0.937819       0.934463        194200  1.514474e+09  0.036557         0.014971                    NaN                     NaN                             NaN             \n",
       "170012  0.939567       0.935242        194300  1.514474e+09  0.035518         0.013452                    NaN                     NaN                             NaN             \n",
       "170100  0.939904       0.935906        194400  1.514475e+09  0.035426         0.012565                    NaN                     NaN                             NaN             \n",
       "170187  0.937908       0.932151        194500  1.514475e+09  0.036284         0.015692                    NaN                     NaN                             NaN             \n",
       "170275  0.938545       0.934801        194600  1.514475e+09  0.036029         0.013531                    NaN                     NaN                             NaN             \n",
       "170362  0.938535       0.934427        194700  1.514475e+09  0.036118         0.014200                    NaN                     NaN                             NaN             \n",
       "170450  0.939334       0.934321        194800  1.514475e+09  0.035455         0.015347                    NaN                     NaN                             NaN             \n",
       "170537  0.943404       0.937949        194900  1.514475e+09  0.032962         0.013047                    NaN                     NaN                             NaN             \n",
       "170625  0.939200       0.935271        195000  1.514475e+09  0.035551         0.013715                    NaN                     NaN                             NaN             \n",
       "170712  0.939163       0.933885        195100  1.514475e+09  0.035559         0.014045                    NaN                     NaN                             NaN             \n",
       "170800  0.939022       0.932064        195200  1.514475e+09  0.035526         0.015442                    NaN                     NaN                             NaN             \n",
       "170887  0.939805       0.936694        195300  1.514475e+09  0.035211         0.012520                    NaN                     NaN                             NaN             \n",
       "170975  0.936143       0.931923        195400  1.514476e+09  0.037251         0.014227                    NaN                     NaN                             NaN             \n",
       "171062  0.935070       0.930859        195500  1.514476e+09  0.038030         0.015067                    NaN                     NaN                             NaN             \n",
       "171150  0.938887       0.934315        195600  1.514476e+09  0.035711         0.013498                    NaN                     NaN                             NaN             \n",
       "171237  0.937410       0.932045        195700  1.514476e+09  0.036653         0.013611                    NaN                     NaN                             NaN             \n",
       "171325  0.938406       0.933910        195800  1.514476e+09  0.035976         0.013326                    NaN                     NaN                             NaN             \n",
       "171412  0.936821       0.931528        195900  1.514476e+09  0.036907         0.014546                    NaN                     NaN                             NaN             \n",
       "171500  0.936715       0.932147        196000  1.514476e+09  0.037050         0.013282                    NaN                     NaN                             NaN             \n",
       "171587  0.937596       0.934571        196100  1.514476e+09  0.036317         0.015804                    NaN                     NaN                             NaN             \n",
       "171612  0.940527       0.937968        196128  1.514476e+09  0.035072         0.012034               0.887640                0.071019                        0.881307             \n",
       "171675  0.937968       0.934003        196200  1.514476e+09  0.036222         0.015909                    NaN                     NaN                             NaN             \n",
       "171762  0.937270       0.932483        196300  1.514477e+09  0.036636         0.013926                    NaN                     NaN                             NaN             \n",
       "171850  0.940029       0.936483        196400  1.514477e+09  0.035310         0.012934                    NaN                     NaN                             NaN             \n",
       "171937  0.936834       0.933230        196500  1.514477e+09  0.036942         0.013830                    NaN                     NaN                             NaN             \n",
       "172025  0.937980       0.932440        196600  1.514477e+09  0.036111         0.014027                    NaN                     NaN                             NaN             \n",
       "172112  0.937077       0.931956        196700  1.514477e+09  0.036765         0.015275                    NaN                     NaN                             NaN             \n",
       "172200  0.943795       0.940467        196800  1.514477e+09  0.032969         0.012152                    NaN                     NaN                             NaN             \n",
       "172287  0.938852       0.933504        196900  1.514477e+09  0.035842         0.013947                    NaN                     NaN                             NaN             \n",
       "172375  0.936559       0.932811        197000  1.514477e+09  0.037129         0.014667                    NaN                     NaN                             NaN             \n",
       "172462  0.940284       0.936456        197100  1.514477e+09  0.034957         0.014407                    NaN                     NaN                             NaN             \n",
       "172550  0.936682       0.933094        197200  1.514477e+09  0.037081         0.013490                    NaN                     NaN                             NaN             \n",
       "172637  0.936279       0.931622        197300  1.514478e+09  0.037196         0.015635                    NaN                     NaN                             NaN             \n",
       "172725  0.938607       0.933717        197400  1.514478e+09  0.035808         0.014314                    NaN                     NaN                             NaN             \n",
       "172812  0.938054       0.933315        197500  1.514478e+09  0.036286         0.013006                    NaN                     NaN                             NaN             \n",
       "172900  0.939094       0.934523        197600  1.514478e+09  0.035589         0.014798                    NaN                     NaN                             NaN             \n",
       "172987  0.938164       0.933883        197700  1.514478e+09  0.036095         0.012654                    NaN                     NaN                             NaN             \n",
       "173075  0.937823       0.933282        197800  1.514478e+09  0.036356         0.013521                    NaN                     NaN                             NaN             \n",
       "173162  0.938992       0.934133        197900  1.514478e+09  0.035599         0.014085                    NaN                     NaN                             NaN             \n",
       "173250  0.938790       0.934518        198000  1.514478e+09  0.035826         0.014186                    NaN                     NaN                             NaN             \n",
       "173337  0.938725       0.933461        198100  1.514478e+09  0.035840         0.014500                    NaN                     NaN                             NaN             \n",
       "173399  0.939599       0.935913        198171  1.514479e+09  0.035504         0.013922               0.886425                0.071501                        0.880990             \n",
       "173425  0.935169       0.933737        198200  1.514479e+09  0.037828         0.015844                    NaN                     NaN                             NaN             \n",
       "173512  0.940783       0.936276        198300  1.514479e+09  0.034718         0.011717                    NaN                     NaN                             NaN             \n",
       "173600  0.936571       0.932235        198400  1.514479e+09  0.037119         0.013903                    NaN                     NaN                             NaN             \n",
       "173687  0.938156       0.934167        198500  1.514479e+09  0.036213         0.012953                    NaN                     NaN                             NaN             \n",
       "173775  0.941173       0.936468        198600  1.514479e+09  0.034369         0.012618                    NaN                     NaN                             NaN             \n",
       "173862  0.941186       0.937572        198700  1.514479e+09  0.034403         0.011783                    NaN                     NaN                             NaN             \n",
       "173950  0.939489       0.934887        198800  1.514479e+09  0.035418         0.012828                    NaN                     NaN                             NaN             \n",
       "174037  0.937688       0.931829        198900  1.514479e+09  0.036404         0.016793                    NaN                     NaN                             NaN             \n",
       "174125  0.937615       0.932327        199000  1.514479e+09  0.036649         0.013565                    NaN                     NaN                             NaN             \n",
       "174212  0.936841       0.931540        199100  1.514479e+09  0.037046         0.014295                    NaN                     NaN                             NaN             \n",
       "174300  0.938392       0.934134        199200  1.514480e+09  0.036151         0.014326                    NaN                     NaN                             NaN             \n",
       "174387  0.940092       0.935563        199300  1.514480e+09  0.035007         0.013577                    NaN                     NaN                             NaN             \n",
       "174475  0.939208       0.935833        199400  1.514480e+09  0.035388         0.013395                    NaN                     NaN                             NaN             \n",
       "174562  0.936331       0.930144        199500  1.514480e+09  0.037204         0.016994                    NaN                     NaN                             NaN             \n",
       "174650  0.937515       0.933512        199600  1.514480e+09  0.036508         0.013435                    NaN                     NaN                             NaN             \n",
       "174737  0.939700       0.935642        199700  1.514480e+09  0.035429         0.012290                    NaN                     NaN                             NaN             \n",
       "174825  0.940230       0.935474        199800  1.514480e+09  0.034897         0.012993                    NaN                     NaN                             NaN             \n",
       "174912  0.938637       0.934692        199900  1.514480e+09  0.035931         0.013744                    NaN                     NaN                             NaN             \n",
       "175000  0.938943       0.935732        200000  1.514480e+09  0.035842         0.014518                    NaN                     NaN                             NaN             \n",
       "175087  0.936102       0.932437        200100  1.514480e+09  0.037440         0.014813                    NaN                     NaN                             NaN             \n",
       "175175  0.938768       0.933279        200200  1.514480e+09  0.035822         0.014649                    NaN                     NaN                             NaN             \n",
       "175187  0.933810       0.929256        200214  1.514481e+09  0.038700         0.013310               0.889287                0.067679                        0.886333             \n",
       "175262  0.940716       0.937062        200300  1.514481e+09  0.034504         0.012641                    NaN                     NaN                             NaN             \n",
       "175350  0.937898       0.933105        200400  1.514481e+09  0.036451         0.013185                    NaN                     NaN                             NaN             \n",
       "175437  0.938606       0.933703        200500  1.514481e+09  0.035824         0.014086                    NaN                     NaN                             NaN             \n",
       "175525  0.941471       0.937271        200600  1.514481e+09  0.034396         0.013340                    NaN                     NaN                             NaN             \n",
       "175612  0.936713       0.931049        200700  1.514481e+09  0.037033         0.013857                    NaN                     NaN                             NaN             \n",
       "175700  0.936991       0.932898        200800  1.514481e+09  0.036914         0.015460                    NaN                     NaN                             NaN             \n",
       "175787  0.939059       0.934109        200900  1.514481e+09  0.035700         0.012883                    NaN                     NaN                             NaN             \n",
       "175875  0.939110       0.935750        201000  1.514481e+09  0.035811         0.012181                    NaN                     NaN                             NaN             \n",
       "175962  0.938122       0.933715        201100  1.514481e+09  0.036319         0.013066                    NaN                     NaN                             NaN             \n",
       "176050  0.937134       0.931971        201200  1.514482e+09  0.036692         0.015018                    NaN                     NaN                             NaN             \n",
       "176137  0.939792       0.935965        201300  1.514482e+09  0.035270         0.013624                    NaN                     NaN                             NaN             \n",
       "176225  0.938218       0.933824        201400  1.514482e+09  0.036175         0.013445                    NaN                     NaN                             NaN             \n",
       "176312  0.938822       0.934724        201500  1.514482e+09  0.035803         0.014191                    NaN                     NaN                             NaN             \n",
       "176400  0.939527       0.935617        201600  1.514482e+09  0.035335         0.013039                    NaN                     NaN                             NaN             \n",
       "176487  0.935864       0.930539        201700  1.514482e+09  0.037408         0.015333                    NaN                     NaN                             NaN             \n",
       "176575  0.936232       0.933009        201800  1.514482e+09  0.037349         0.013830                    NaN                     NaN                             NaN             \n",
       "176662  0.938756       0.932608        201900  1.514482e+09  0.035793         0.015208                    NaN                     NaN                             NaN             \n",
       "176750  0.940065       0.935991        202000  1.514482e+09  0.035022         0.013420                    NaN                     NaN                             NaN             \n",
       "176837  0.939467       0.934714        202100  1.514482e+09  0.035367         0.013317                    NaN                     NaN                             NaN             \n",
       "176925  0.939385       0.936593        202200  1.514483e+09  0.035496         0.012897                    NaN                     NaN                             NaN             \n",
       "176974  0.937667       0.933646        202256  1.514483e+09  0.036351         0.014108               0.889325                0.069786                        0.884359             \n",
       "177012  0.940060       0.936181        202300  1.514483e+09  0.035432         0.010507                    NaN                     NaN                             NaN             \n",
       "177100  0.939190       0.934234        202400  1.514483e+09  0.035758         0.012657                    NaN                     NaN                             NaN             \n",
       "177187  0.938658       0.934531        202500  1.514483e+09  0.035989         0.012856                    NaN                     NaN                             NaN             \n",
       "177275  0.939635       0.935205        202600  1.514483e+09  0.035442         0.013955                    NaN                     NaN                             NaN             \n",
       "177362  0.936475       0.932752        202700  1.514483e+09  0.037332         0.014528                    NaN                     NaN                             NaN             \n",
       "177450  0.938765       0.934971        202800  1.514483e+09  0.035847         0.012684                    NaN                     NaN                             NaN             \n",
       "177537  0.940662       0.935797        202900  1.514483e+09  0.034876         0.012757                    NaN                     NaN                             NaN             \n",
       "177625  0.938793       0.934645        203000  1.514483e+09  0.035992         0.012636                    NaN                     NaN                             NaN             \n",
       "177712  0.939081       0.935928        203100  1.514484e+09  0.035772         0.013258                    NaN                     NaN                             NaN             \n",
       "177800  0.938791       0.933670        203200  1.514484e+09  0.035899         0.013905                    NaN                     NaN                             NaN             \n",
       "177887  0.937506       0.931992        203300  1.514484e+09  0.036205         0.014247                    NaN                     NaN                             NaN             \n",
       "177975  0.937499       0.933985        203400  1.514484e+09  0.036710         0.014017                    NaN                     NaN                             NaN             \n",
       "178062  0.936590       0.932580        203500  1.514484e+09  0.037323         0.015290                    NaN                     NaN                             NaN             \n",
       "178150  0.939036       0.933754        203600  1.514484e+09  0.035629         0.013534                    NaN                     NaN                             NaN             \n",
       "178237  0.938371       0.933789        203700  1.514484e+09  0.036046         0.012848                    NaN                     NaN                             NaN             \n",
       "178325  0.939468       0.934588        203800  1.514484e+09  0.035342         0.013555                    NaN                     NaN                             NaN             \n",
       "178412  0.938619       0.933017        203900  1.514484e+09  0.035656         0.014420                    NaN                     NaN                             NaN             \n",
       "178500  0.938693       0.934779        204000  1.514484e+09  0.035876         0.012980                    NaN                     NaN                             NaN             \n",
       "178587  0.941180       0.936325        204100  1.514485e+09  0.034364         0.012875                    NaN                     NaN                             NaN             \n",
       "178675  0.937909       0.933616        204200  1.514485e+09  0.036388         0.013756                    NaN                     NaN                             NaN             \n",
       "178762  0.939057       0.935759        204300  1.514485e+09  0.035682         0.012661               0.889336                0.068130                        0.886376             \n",
       "178850  0.939269       0.934942        204400  1.514485e+09  0.035659         0.012637                    NaN                     NaN                             NaN             \n",
       "178937  0.937853       0.934502        204500  1.514485e+09  0.036195         0.012820                    NaN                     NaN                             NaN             \n",
       "179025  0.939950       0.936440        204600  1.514485e+09  0.035164         0.013704                    NaN                     NaN                             NaN             \n",
       "179112  0.938826       0.933240        204700  1.514485e+09  0.036047         0.012864                    NaN                     NaN                             NaN             \n",
       "179200  0.938930       0.934734        204800  1.514485e+09  0.035639         0.012371                    NaN                     NaN                             NaN             \n",
       "179287  0.937925       0.933531        204900  1.514485e+09  0.036277         0.013650                    NaN                     NaN                             NaN             \n",
       "179375  0.938948       0.935507        205000  1.514486e+09  0.035847         0.013302                    NaN                     NaN                             NaN             \n",
       "179462  0.937303       0.933221        205100  1.514486e+09  0.036692         0.013369                    NaN                     NaN                             NaN             \n",
       "179550  0.935627       0.928937        205200  1.514486e+09  0.037571         0.015431                    NaN                     NaN                             NaN             \n",
       "179637  0.938973       0.934218        205300  1.514486e+09  0.035717         0.013050                    NaN                     NaN                             NaN             \n",
       "179725  0.939949       0.935856        205400  1.514486e+09  0.035181         0.012240                    NaN                     NaN                             NaN             \n",
       "179812  0.939272       0.935182        205500  1.514486e+09  0.035626         0.012813                    NaN                     NaN                             NaN             \n",
       "179900  0.940908       0.935844        205600  1.514486e+09  0.034630         0.012600                    NaN                     NaN                             NaN             \n",
       "179987  0.937333       0.931670        205700  1.514486e+09  0.036793         0.015067                    NaN                     NaN                             NaN             \n",
       "180075  0.939238       0.933991        205800  1.514486e+09  0.035465         0.014714                    NaN                     NaN                             NaN             \n",
       "180162  0.938955       0.934877        205900  1.514486e+09  0.035594         0.012918                    NaN                     NaN                             NaN             \n",
       "180250  0.938550       0.936074        206000  1.514487e+09  0.036077         0.012957                    NaN                     NaN                             NaN             \n",
       "180337  0.938600       0.934020        206100  1.514487e+09  0.036023         0.013815                    NaN                     NaN                             NaN             \n",
       "180425  0.939369       0.935751        206200  1.514487e+09  0.035443         0.013292                    NaN                     NaN                             NaN             \n",
       "180512  0.937443       0.932972        206300  1.514487e+09  0.036586         0.013922                    NaN                     NaN                             NaN             \n",
       "180550  0.939754       0.934168        206343  1.514487e+09  0.034948         0.014429               0.889431                0.069305                        0.884877             \n",
       "180600  0.933955       0.930118        206400  1.514487e+09  0.039170         0.013395                    NaN                     NaN                             NaN             \n",
       "180687  0.942210       0.937277        206500  1.514487e+09  0.033852         0.011312                    NaN                     NaN                             NaN             \n",
       "180775  0.936175       0.931931        206600  1.514487e+09  0.037249         0.014005                    NaN                     NaN                             NaN             \n",
       "180862  0.939307       0.935402        206700  1.514487e+09  0.035770         0.012130                    NaN                     NaN                             NaN             \n",
       "180950  0.938796       0.934223        206800  1.514487e+09  0.035935         0.013570                    NaN                     NaN                             NaN             \n",
       "181037  0.936786       0.932142        206900  1.514488e+09  0.037042         0.013214                    NaN                     NaN                             NaN             \n",
       "181125  0.940314       0.936837        207000  1.514488e+09  0.034997         0.012823                    NaN                     NaN                             NaN             \n",
       "181212  0.939697       0.934896        207100  1.514488e+09  0.035303         0.012048                    NaN                     NaN                             NaN             \n",
       "181300  0.939888       0.935127        207200  1.514488e+09  0.035247         0.012709                    NaN                     NaN                             NaN             \n",
       "181387  0.936385       0.931890        207300  1.514488e+09  0.037145         0.013377                    NaN                     NaN                             NaN             \n",
       "181475  0.937597       0.933942        207400  1.514488e+09  0.036404         0.014685                    NaN                     NaN                             NaN             \n",
       "181562  0.940822       0.935617        207500  1.514488e+09  0.034628         0.013726                    NaN                     NaN                             NaN             \n",
       "181650  0.939978       0.934170        207600  1.514488e+09  0.035028         0.013604                    NaN                     NaN                             NaN             \n",
       "181737  0.938949       0.934455        207700  1.514488e+09  0.035642         0.014087                    NaN                     NaN                             NaN             \n",
       "181825  0.940040       0.935721        207800  1.514488e+09  0.034969         0.012680                    NaN                     NaN                             NaN             \n",
       "181912  0.939036       0.935259        207900  1.514489e+09  0.035651         0.013321                    NaN                     NaN                             NaN             \n",
       "182000  0.938537       0.933462        208000  1.514489e+09  0.035853         0.014532                    NaN                     NaN                             NaN             \n",
       "182087  0.938123       0.934557        208100  1.514489e+09  0.036282         0.012920                    NaN                     NaN                             NaN             \n",
       "182175  0.939893       0.936091        208200  1.514489e+09  0.035154         0.012805                    NaN                     NaN                             NaN             \n",
       "182262  0.938766       0.934358        208300  1.514489e+09  0.035829         0.013728                    NaN                     NaN                             NaN             \n",
       "182337  0.936567       0.932534        208386  1.514489e+09  0.037498         0.014991               0.890560                0.068307                        0.886013             \n",
       "182350  0.940460       0.934324        208400  1.514489e+09  0.035109         0.012394                    NaN                     NaN                             NaN             \n",
       "182437  0.937463       0.932882        208500  1.514489e+09  0.036587         0.013284                    NaN                     NaN                             NaN             \n",
       "182525  0.941058       0.936693        208600  1.514489e+09  0.034565         0.012303                    NaN                     NaN                             NaN             \n",
       "182612  0.936846       0.932734        208700  1.514489e+09  0.037091         0.013645                    NaN                     NaN                             NaN             \n",
       "182700  0.941708       0.938483        208800  1.514490e+09  0.034305         0.011030                    NaN                     NaN                             NaN             \n",
       "182787  0.936762       0.932112        208900  1.514490e+09  0.036867         0.017633                    NaN                     NaN                             NaN             \n",
       "182875  0.937218       0.933944        209000  1.514490e+09  0.036702         0.013410                    NaN                     NaN                             NaN             \n",
       "182962  0.939100       0.933409        209100  1.514490e+09  0.035667         0.014797                    NaN                     NaN                             NaN             \n",
       "183050  0.939097       0.935169        209200  1.514490e+09  0.035749         0.012588                    NaN                     NaN                             NaN             \n",
       "183137  0.937771       0.933431        209300  1.514490e+09  0.036589         0.012874                    NaN                     NaN                             NaN             \n",
       "183225  0.940028       0.935179        209400  1.514490e+09  0.035278         0.013116                    NaN                     NaN                             NaN             \n",
       "183312  0.937366       0.932436        209500  1.514490e+09  0.036503         0.013833                    NaN                     NaN                             NaN             \n",
       "183400  0.937512       0.931768        209600  1.514490e+09  0.036506         0.014397                    NaN                     NaN                             NaN             \n",
       "183487  0.939457       0.934309        209700  1.514490e+09  0.035338         0.013109                    NaN                     NaN                             NaN             \n",
       "183575  0.940012       0.936172        209800  1.514491e+09  0.034883         0.012582                    NaN                     NaN                             NaN             \n",
       "183662  0.940622       0.934881        209900  1.514491e+09  0.034711         0.014520                    NaN                     NaN                             NaN             \n",
       "183750  0.936886       0.932738        210000  1.514491e+09  0.036964         0.013513                    NaN                     NaN                             NaN             \n",
       "183837  0.937354       0.932754        210100  1.514491e+09  0.036485         0.013444                    NaN                     NaN                             NaN             \n",
       "183925  0.940052       0.935669        210200  1.514491e+09  0.035374         0.012282                    NaN                     NaN                             NaN             \n",
       "184012  0.939730       0.936378        210300  1.514491e+09  0.035397         0.013294                    NaN                     NaN                             NaN             \n",
       "184100  0.938744       0.934203        210400  1.514491e+09  0.035810         0.013140                    NaN                     NaN                             NaN             \n",
       "184125  0.941121       0.938976        210429  1.514491e+09  0.034527         0.011402               0.888202                0.069690                        0.883982             \n",
       "184187  0.936632       0.933274        210500  1.514491e+09  0.037068         0.013236                    NaN                     NaN                             NaN             \n",
       "184275  0.940599       0.936462        210600  1.514491e+09  0.034688         0.012783                    NaN                     NaN                             NaN             \n",
       "184362  0.938746       0.934575        210700  1.514492e+09  0.036049         0.011997                    NaN                     NaN                             NaN             \n",
       "184450  0.940859       0.937158        210800  1.514492e+09  0.034598         0.011499                    NaN                     NaN                             NaN             \n",
       "184537  0.939939       0.934135        210900  1.514492e+09  0.035061         0.014160                    NaN                     NaN                             NaN             \n",
       "184625  0.940600       0.936698        211000  1.514492e+09  0.035025         0.012422                    NaN                     NaN                             NaN             \n",
       "184712  0.938188       0.933394        211100  1.514492e+09  0.036206         0.012927                    NaN                     NaN                             NaN             \n",
       "184800  0.941388       0.937616        211200  1.514492e+09  0.034310         0.011942                    NaN                     NaN                             NaN             \n",
       "184887  0.937212       0.932109        211300  1.514492e+09  0.036675         0.014436                    NaN                     NaN                             NaN             \n",
       "184975  0.937833       0.931328        211400  1.514492e+09  0.036280         0.014329                    NaN                     NaN                             NaN             \n",
       "185062  0.937543       0.932610        211500  1.514492e+09  0.036584         0.014132                    NaN                     NaN                             NaN             \n",
       "185150  0.936633       0.933595        211600  1.514492e+09  0.037286         0.013759                    NaN                     NaN                             NaN             \n",
       "185237  0.940187       0.935574        211700  1.514493e+09  0.034911         0.013465                    NaN                     NaN                             NaN             \n",
       "185325  0.937531       0.933473        211800  1.514493e+09  0.036450         0.014108                    NaN                     NaN                             NaN             \n",
       "185412  0.939355       0.935870        211900  1.514493e+09  0.035653         0.012504                    NaN                     NaN                             NaN             \n",
       "185500  0.939512       0.934475        212000  1.514493e+09  0.035391         0.013870                    NaN                     NaN                             NaN             \n",
       "185587  0.938787       0.934669        212100  1.514493e+09  0.035693         0.013476                    NaN                     NaN                             NaN             \n",
       "185675  0.937100       0.933165        212200  1.514493e+09  0.036905         0.012984                    NaN                     NaN                             NaN             \n",
       "185762  0.937693       0.932300        212300  1.514493e+09  0.036533         0.014220                    NaN                     NaN                             NaN             \n",
       "185850  0.939082       0.935022        212400  1.514493e+09  0.035637         0.012787                    NaN                     NaN                             NaN             \n",
       "185913  0.937519       0.933570        212472  1.514493e+09  0.036732         0.012568               0.889019                0.069695                        0.884177             \n",
       "185937  0.937597       0.933048        212500  1.514493e+09  0.036619         0.015132                    NaN                     NaN                             NaN             \n",
       "186025  0.938567       0.933682        212600  1.514494e+09  0.035861         0.015492                    NaN                     NaN                             NaN             \n",
       "186112  0.937669       0.934447        212700  1.514494e+09  0.036442         0.012538                    NaN                     NaN                             NaN             \n",
       "186200  0.938594       0.935277        212800  1.514494e+09  0.035793         0.013254                    NaN                     NaN                             NaN             \n",
       "186287  0.939175       0.936323        212900  1.514494e+09  0.035504         0.012098                    NaN                     NaN                             NaN             \n",
       "186375  0.937964       0.932257        213000  1.514494e+09  0.036161         0.014944                    NaN                     NaN                             NaN             \n",
       "186462  0.939173       0.935156        213100  1.514494e+09  0.035634         0.013290                    NaN                     NaN                             NaN             \n",
       "186550  0.938788       0.934171        213200  1.514494e+09  0.035921         0.012575                    NaN                     NaN                             NaN             \n",
       "186637  0.938220       0.931134        213300  1.514494e+09  0.036419         0.013869                    NaN                     NaN                             NaN             \n",
       "186725  0.939606       0.935047        213400  1.514494e+09  0.035510         0.012895                    NaN                     NaN                             NaN             \n",
       "186812  0.938386       0.933986        213500  1.514494e+09  0.035920         0.012548                    NaN                     NaN                             NaN             \n",
       "186900  0.938220       0.933729        213600  1.514495e+09  0.036139         0.014259                    NaN                     NaN                             NaN             \n",
       "186987  0.939536       0.933982        213700  1.514495e+09  0.035410         0.013138                    NaN                     NaN                             NaN             \n",
       "187075  0.939551       0.934577        213800  1.514495e+09  0.035601         0.012561                    NaN                     NaN                             NaN             \n",
       "187162  0.940437       0.936817        213900  1.514495e+09  0.034799         0.014222                    NaN                     NaN                             NaN             \n",
       "187219  0.938466       0.935730        213965  1.514495e+09  0.036072         0.012179               0.888719                0.069155                        0.884529             \n",
       "\n",
       "[2244 rows x 9 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 4]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l = [1,2,3]\n",
    "l + [4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.14"
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 },
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}