mixed-throughput-and-memory.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a6f404dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "import common\n",
    "import importlib\n",
    "from matplotlib.lines import Line2D\n",
    "from matplotlib.patches import Patch\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import os\n",
    "import pandas as pd\n",
    "import re\n",
    "import socket\n",
    "import matplotlib\n",
    "import matplotlib.style\n",
    "import plotting\n",
    "import matplotlib.ticker as ticker\n",
    "\n",
    "# Show all columns and rows in a dataframe\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "experiments = \"(hostname == 'scyper22' or hostname == 'scyper21')\"\n",
    "\n",
    "libraries = [\"g1_v6-ref-ignore-build\", \"livegraph3_ro\", \"llama8-ref\", \"sortledton\", \"stinger7-ref\", \"teseo-lcc.12\"]\n",
    "libraries_filter = \" | \".join(map(lambda l: \"library == '\" + l + \"'\", libraries))\n",
    "\n",
    "edges_per_graph = pd.DataFrame({\n",
    "    \"graph\": [\"com-friendster\", \"dota-league\", \"graph500-22\", \n",
    "              \"graph500-24\", \"graph500-26\", \"uniform-22\", \n",
    "              \"uniform-24\", \"uniform-26\"\n",
    "              ],\n",
    "    \"edges\": [1806067135, 50870313, 64155735, 260379520, 1051922853, 64155735, 260379520, 1051922853]\n",
    "})\n",
    "\n",
    "scaling_graphs=\"graph == 'graph500-24'\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41ee5afd",
   "metadata": {},
   "source": [
    "## Average Throughput Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bbdfab77",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = common.import_gfe(\"view_updates_throughput\").query(experiments).query(\"is_mixed_workload == 0\") # data from the experiments\n",
    "throughput_grouped = data.groupby([\"graph\", \"library\"]).agg(throughput_mean=(\"throughput\", \"mean\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "fc39d297",
   "metadata": {},
   "outputs": [],
   "source": [
    "throughput_pivot = throughput_grouped.pivot_table(values=\"throughput_mean\", columns=\"library\", index=\"graph\")\n",
    "# Choose newest Sortledton\n",
    "throughput_pivot[\"sortledton\"] = throughput_pivot[\"sortledton.3\"]\n",
    "throughput_pivot = throughput_pivot.drop(\"sortledton.1\", axis=1)\n",
    "throughput_pivot = throughput_pivot.drop(\"sortledton.3\", axis=1)\n",
    "column_order = ['sortledton', 'teseo-lcc.12', 'g1_v6-ref-ignore-build', 'stinger7-ref', 'llama8-ref', 'livegraph3_ro']\n",
    "throughput_pivot = throughput_pivot[column_order]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "dae478db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Dataset', ylabel='meps'>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x741.641 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## FIGURE 11a\n",
    "matplotlib.style.use('classic')\n",
    "\n",
    "colormap=common.set_library_colormap(\"\")\n",
    "\n",
    "plotting.latexify(fig_width=3)\n",
    "\n",
    "p = throughput_pivot.plot.bar(color=colormap, legend=None)\n",
    "p.set_yscale('linear')\n",
    "\n",
    "plotting.apply_hatches(['sortledton', 'teseo', 'graphone', 'stinger', 'llama', 'livegraph'], 2, 0, p.patches)\n",
    "\n",
    "plt.xlabel(\"Dataset\")\n",
    "plt.ylabel(\"meps\")\n",
    "\n",
    "positions = (0, 1)\n",
    "x_labels = (\"g500-24\", \"uni-24\")\n",
    "plt.xticks(positions, x_labels)\n",
    "plt.xticks(rotation=0)\n",
    "\n",
    "scale_y = 1e6\n",
    "ticks_y = ticker.FuncFormatter(lambda x, pos: '{0:g}'.format(x/scale_y))\n",
    "p.yaxis.set_major_formatter(ticks_y)\n",
    "plt.yticks()\n",
    "\n",
    "plotting.format_axes(p, categorical_x=True, yscale=\"linear\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(plotting.base_path + \"throughput_average-new.png\", dpi=400)\n",
    "\n",
    "p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "0d8b3f1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "legend_labels = [\"Sortledton (12m)\", \"Teseo (11m)\", \"GraphOne ($>$10h)\", \"Stinger (6h 40m)\", \"Llama (OOM)\", \"Livegraph (135m)\"]\n",
    "legend = p.legend(ncol=7, borderaxespad=0., labels=legend_labels, fontsize=\"x-large\")\n",
    "fig  = legend.figure\n",
    "fig.canvas.draw()\n",
    "bbox  = legend.get_window_extent().transformed(fig.dpi_scale_trans.inverted())\n",
    "fig.savefig(plotting.base_path + \"legend2.png\", dpi=400, bbox_inches=bbox)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84eca59f",
   "metadata": {},
   "source": [
    "## Memory consumption"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "259ed860",
   "metadata": {},
   "outputs": [],
   "source": [
    "memory_consumption_data = common.import_gfe(\"view_updates_memory_footprint\").query(experiments).query(\"is_mixed_workload == 0\")\n",
    "memory_consumption_data[\"memory_usage_gb\"] = memory_consumption_data[\"memory_usage_bytes\"] / 1e9\n",
    "memory_consumption_data[\"progress\"] = memory_consumption_data[\"progress\"].round(2)\n",
    "grouped = memory_consumption_data.groupby([\"graph\", \"library\", \"exec_id\"]).agg(m=(\"memory_usage_gb\", \"max\"))\n",
    "#grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "3a1a7942",
   "metadata": {},
   "outputs": [],
   "source": [
    "memory_consumption_data_graph500 = memory_consumption_data.query(\"graph == 'graph500-24'\")\n",
    "memory_consumption_pivot = memory_consumption_data_graph500.pivot_table(values=\"memory_usage_gb\", columns=\"library\", index=\"progress\")\n",
    "memory_consumption_pivot.interpolate(method=\"index\", inplace=True, limit=1)\n",
    "\n",
    "memory_consumption_pivot[\"sortledton\"] = memory_consumption_pivot[\"sortledton.3\"]\n",
    "memory_consumption_pivot = memory_consumption_pivot.drop(\"sortledton.1\", axis=1)\n",
    "memory_consumption_pivot = memory_consumption_pivot.drop(\"sortledton.3\", axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "36864b34",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>library</th>\n",
       "      <th>g1_v6-ref-ignore-build</th>\n",
       "      <th>livegraph3_ro</th>\n",
       "      <th>llama8-ref</th>\n",
       "      <th>sortledton</th>\n",
       "      <th>stinger7-ref</th>\n",
       "      <th>teseo-lcc.12</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>progress</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.00</th>\n",
       "      <td>1.572023</td>\n",
       "      <td>2.511944</td>\n",
       "      <td>2.851423</td>\n",
       "      <td>2.496474</td>\n",
       "      <td>3.945597</td>\n",
       "      <td>2.464463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.01</th>\n",
       "      <td>2.674633</td>\n",
       "      <td>6.043957</td>\n",
       "      <td>5.329428</td>\n",
       "      <td>3.059972</td>\n",
       "      <td>7.532104</td>\n",
       "      <td>6.384286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.02</th>\n",
       "      <td>5.620141</td>\n",
       "      <td>9.874645</td>\n",
       "      <td>7.943153</td>\n",
       "      <td>3.301341</td>\n",
       "      <td>9.781082</td>\n",
       "      <td>8.866674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.03</th>\n",
       "      <td>8.157665</td>\n",
       "      <td>13.574184</td>\n",
       "      <td>10.759293</td>\n",
       "      <td>5.517493</td>\n",
       "      <td>11.863910</td>\n",
       "      <td>11.884349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.04</th>\n",
       "      <td>10.311148</td>\n",
       "      <td>17.274229</td>\n",
       "      <td>13.360379</td>\n",
       "      <td>7.089490</td>\n",
       "      <td>13.888216</td>\n",
       "      <td>15.194638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.05</th>\n",
       "      <td>12.122171</td>\n",
       "      <td>21.353068</td>\n",
       "      <td>16.037448</td>\n",
       "      <td>7.767105</td>\n",
       "      <td>15.909464</td>\n",
       "      <td>18.353686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.06</th>\n",
       "      <td>12.996047</td>\n",
       "      <td>26.326477</td>\n",
       "      <td>18.992077</td>\n",
       "      <td>9.699812</td>\n",
       "      <td>17.932709</td>\n",
       "      <td>20.113545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.07</th>\n",
       "      <td>14.237884</td>\n",
       "      <td>32.525654</td>\n",
       "      <td>21.995654</td>\n",
       "      <td>12.206929</td>\n",
       "      <td>19.927654</td>\n",
       "      <td>21.873403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.08</th>\n",
       "      <td>16.158284</td>\n",
       "      <td>40.295800</td>\n",
       "      <td>25.210217</td>\n",
       "      <td>13.340140</td>\n",
       "      <td>21.893976</td>\n",
       "      <td>25.598543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.09</th>\n",
       "      <td>15.985580</td>\n",
       "      <td>45.594081</td>\n",
       "      <td>28.465091</td>\n",
       "      <td>14.761998</td>\n",
       "      <td>23.839480</td>\n",
       "      <td>28.891388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.10</th>\n",
       "      <td>17.807835</td>\n",
       "      <td>55.196725</td>\n",
       "      <td>31.706353</td>\n",
       "      <td>16.023934</td>\n",
       "      <td>25.455166</td>\n",
       "      <td>30.689637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.11</th>\n",
       "      <td>18.508299</td>\n",
       "      <td>76.988965</td>\n",
       "      <td>34.874281</td>\n",
       "      <td>16.254843</td>\n",
       "      <td>26.007433</td>\n",
       "      <td>32.487885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.12</th>\n",
       "      <td>19.144305</td>\n",
       "      <td>88.984042</td>\n",
       "      <td>38.018417</td>\n",
       "      <td>16.329954</td>\n",
       "      <td>26.156394</td>\n",
       "      <td>35.930323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.13</th>\n",
       "      <td>19.479458</td>\n",
       "      <td>94.614793</td>\n",
       "      <td>41.171147</td>\n",
       "      <td>16.406709</td>\n",
       "      <td>26.270919</td>\n",
       "      <td>36.543961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.14</th>\n",
       "      <td>22.661124</td>\n",
       "      <td>98.581040</td>\n",
       "      <td>44.477611</td>\n",
       "      <td>16.434346</td>\n",
       "      <td>26.368336</td>\n",
       "      <td>37.157599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.15</th>\n",
       "      <td>23.317383</td>\n",
       "      <td>102.044594</td>\n",
       "      <td>47.987371</td>\n",
       "      <td>16.485487</td>\n",
       "      <td>26.454624</td>\n",
       "      <td>37.629389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.16</th>\n",
       "      <td>23.970498</td>\n",
       "      <td>104.640814</td>\n",
       "      <td>51.657008</td>\n",
       "      <td>16.540795</td>\n",
       "      <td>26.532447</td>\n",
       "      <td>38.101178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.17</th>\n",
       "      <td>24.101583</td>\n",
       "      <td>106.739952</td>\n",
       "      <td>55.602867</td>\n",
       "      <td>16.554646</td>\n",
       "      <td>26.604024</td>\n",
       "      <td>38.899067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.18</th>\n",
       "      <td>23.554314</td>\n",
       "      <td>108.902613</td>\n",
       "      <td>59.704647</td>\n",
       "      <td>16.598644</td>\n",
       "      <td>26.669571</td>\n",
       "      <td>39.073297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.19</th>\n",
       "      <td>26.822231</td>\n",
       "      <td>110.865625</td>\n",
       "      <td>63.967970</td>\n",
       "      <td>16.644548</td>\n",
       "      <td>26.729799</td>\n",
       "      <td>39.247527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.20</th>\n",
       "      <td>27.902680</td>\n",
       "      <td>112.656123</td>\n",
       "      <td>68.537778</td>\n",
       "      <td>16.689585</td>\n",
       "      <td>26.786794</td>\n",
       "      <td>39.813746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.21</th>\n",
       "      <td>28.846291</td>\n",
       "      <td>113.916935</td>\n",
       "      <td>73.369503</td>\n",
       "      <td>16.688258</td>\n",
       "      <td>26.840111</td>\n",
       "      <td>39.985792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.22</th>\n",
       "      <td>28.131413</td>\n",
       "      <td>115.781008</td>\n",
       "      <td>78.407959</td>\n",
       "      <td>17.197923</td>\n",
       "      <td>26.890202</td>\n",
       "      <td>40.157838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.23</th>\n",
       "      <td>28.455819</td>\n",
       "      <td>118.272321</td>\n",
       "      <td>83.576807</td>\n",
       "      <td>17.235152</td>\n",
       "      <td>26.937411</td>\n",
       "      <td>40.301804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.24</th>\n",
       "      <td>30.069348</td>\n",
       "      <td>120.216727</td>\n",
       "      <td>89.070026</td>\n",
       "      <td>17.235115</td>\n",
       "      <td>26.982267</td>\n",
       "      <td>40.605103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.25</th>\n",
       "      <td>32.733659</td>\n",
       "      <td>124.237375</td>\n",
       "      <td>94.639921</td>\n",
       "      <td>17.271184</td>\n",
       "      <td>27.025142</td>\n",
       "      <td>40.908401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.26</th>\n",
       "      <td>33.441555</td>\n",
       "      <td>126.559046</td>\n",
       "      <td>100.414226</td>\n",
       "      <td>17.334789</td>\n",
       "      <td>27.065395</td>\n",
       "      <td>41.447341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.27</th>\n",
       "      <td>32.847825</td>\n",
       "      <td>128.380408</td>\n",
       "      <td>106.303230</td>\n",
       "      <td>17.331015</td>\n",
       "      <td>27.103761</td>\n",
       "      <td>41.598168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.28</th>\n",
       "      <td>33.032121</td>\n",
       "      <td>129.742361</td>\n",
       "      <td>112.401137</td>\n",
       "      <td>17.338063</td>\n",
       "      <td>27.139531</td>\n",
       "      <td>41.748996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.29</th>\n",
       "      <td>34.687886</td>\n",
       "      <td>130.899788</td>\n",
       "      <td>118.663917</td>\n",
       "      <td>17.364347</td>\n",
       "      <td>27.174374</td>\n",
       "      <td>41.776836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.30</th>\n",
       "      <td>37.313968</td>\n",
       "      <td>132.019601</td>\n",
       "      <td>125.097519</td>\n",
       "      <td>17.385754</td>\n",
       "      <td>27.208227</td>\n",
       "      <td>41.847109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.31</th>\n",
       "      <td>38.064511</td>\n",
       "      <td>133.464942</td>\n",
       "      <td>131.751183</td>\n",
       "      <td>17.396895</td>\n",
       "      <td>27.240663</td>\n",
       "      <td>41.917382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.32</th>\n",
       "      <td>37.192962</td>\n",
       "      <td>134.531952</td>\n",
       "      <td>138.551789</td>\n",
       "      <td>17.420215</td>\n",
       "      <td>27.271497</td>\n",
       "      <td>41.949282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.33</th>\n",
       "      <td>37.234228</td>\n",
       "      <td>135.585237</td>\n",
       "      <td>145.542887</td>\n",
       "      <td>17.439010</td>\n",
       "      <td>27.300939</td>\n",
       "      <td>41.964285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.34</th>\n",
       "      <td>39.202223</td>\n",
       "      <td>137.351716</td>\n",
       "      <td>152.676661</td>\n",
       "      <td>17.453737</td>\n",
       "      <td>27.329125</td>\n",
       "      <td>41.979289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.35</th>\n",
       "      <td>41.863872</td>\n",
       "      <td>140.133293</td>\n",
       "      <td>160.052474</td>\n",
       "      <td>17.474774</td>\n",
       "      <td>27.356601</td>\n",
       "      <td>42.576654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.36</th>\n",
       "      <td>41.390514</td>\n",
       "      <td>141.653725</td>\n",
       "      <td>167.495735</td>\n",
       "      <td>17.486958</td>\n",
       "      <td>27.383594</td>\n",
       "      <td>42.621935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.37</th>\n",
       "      <td>42.593325</td>\n",
       "      <td>142.255090</td>\n",
       "      <td>175.128161</td>\n",
       "      <td>17.502805</td>\n",
       "      <td>27.409051</td>\n",
       "      <td>42.667217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.38</th>\n",
       "      <td>41.687344</td>\n",
       "      <td>143.982213</td>\n",
       "      <td>182.966955</td>\n",
       "      <td>17.523553</td>\n",
       "      <td>27.433540</td>\n",
       "      <td>42.682356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.39</th>\n",
       "      <td>43.801331</td>\n",
       "      <td>147.687273</td>\n",
       "      <td>190.989265</td>\n",
       "      <td>17.546257</td>\n",
       "      <td>27.457095</td>\n",
       "      <td>42.756954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.40</th>\n",
       "      <td>46.419473</td>\n",
       "      <td>150.730297</td>\n",
       "      <td>198.637908</td>\n",
       "      <td>17.545165</td>\n",
       "      <td>27.480324</td>\n",
       "      <td>42.831553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.41</th>\n",
       "      <td>45.975508</td>\n",
       "      <td>151.843137</td>\n",
       "      <td>205.052171</td>\n",
       "      <td>17.566525</td>\n",
       "      <td>27.502028</td>\n",
       "      <td>42.841825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.42</th>\n",
       "      <td>47.166915</td>\n",
       "      <td>152.915266</td>\n",
       "      <td>208.041349</td>\n",
       "      <td>17.588570</td>\n",
       "      <td>27.523746</td>\n",
       "      <td>42.918459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.43</th>\n",
       "      <td>46.285962</td>\n",
       "      <td>154.720049</td>\n",
       "      <td>208.041349</td>\n",
       "      <td>17.582178</td>\n",
       "      <td>27.544316</td>\n",
       "      <td>42.995093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.44</th>\n",
       "      <td>48.807055</td>\n",
       "      <td>155.583769</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.605891</td>\n",
       "      <td>27.564564</td>\n",
       "      <td>42.998071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.45</th>\n",
       "      <td>49.873600</td>\n",
       "      <td>156.586711</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.626199</td>\n",
       "      <td>27.584579</td>\n",
       "      <td>43.297973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.46</th>\n",
       "      <td>50.803499</td>\n",
       "      <td>157.819620</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.621959</td>\n",
       "      <td>27.603054</td>\n",
       "      <td>43.597874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.47</th>\n",
       "      <td>51.733397</td>\n",
       "      <td>159.342180</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.641732</td>\n",
       "      <td>27.620918</td>\n",
       "      <td>43.605452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.48</th>\n",
       "      <td>51.268005</td>\n",
       "      <td>160.525977</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.658842</td>\n",
       "      <td>27.638612</td>\n",
       "      <td>43.610723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.49</th>\n",
       "      <td>50.802612</td>\n",
       "      <td>160.969000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.665787</td>\n",
       "      <td>27.655841</td>\n",
       "      <td>43.615995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.50</th>\n",
       "      <td>54.482587</td>\n",
       "      <td>162.060936</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.675621</td>\n",
       "      <td>27.672587</td>\n",
       "      <td>43.696563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.51</th>\n",
       "      <td>54.478324</td>\n",
       "      <td>162.639501</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.691079</td>\n",
       "      <td>27.688877</td>\n",
       "      <td>43.704405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.52</th>\n",
       "      <td>54.639877</td>\n",
       "      <td>163.452362</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.705235</td>\n",
       "      <td>27.704867</td>\n",
       "      <td>43.712246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.53</th>\n",
       "      <td>54.801429</td>\n",
       "      <td>163.780031</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.711785</td>\n",
       "      <td>27.720495</td>\n",
       "      <td>43.741441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.54</th>\n",
       "      <td>55.284647</td>\n",
       "      <td>164.115089</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.722060</td>\n",
       "      <td>27.736083</td>\n",
       "      <td>43.770635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.55</th>\n",
       "      <td>55.284647</td>\n",
       "      <td>165.660590</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.734837</td>\n",
       "      <td>27.749942</td>\n",
       "      <td>43.874957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.56</th>\n",
       "      <td>NaN</td>\n",
       "      <td>166.073763</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.740373</td>\n",
       "      <td>27.763541</td>\n",
       "      <td>44.122679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.57</th>\n",
       "      <td>NaN</td>\n",
       "      <td>166.525167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.750782</td>\n",
       "      <td>27.777199</td>\n",
       "      <td>44.370401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.58</th>\n",
       "      <td>NaN</td>\n",
       "      <td>167.661632</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.763628</td>\n",
       "      <td>27.790740</td>\n",
       "      <td>44.434192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.59</th>\n",
       "      <td>NaN</td>\n",
       "      <td>168.306660</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.766682</td>\n",
       "      <td>27.803834</td>\n",
       "      <td>44.437170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.60</th>\n",
       "      <td>NaN</td>\n",
       "      <td>169.683853</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.778878</td>\n",
       "      <td>27.816549</td>\n",
       "      <td>44.440147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.61</th>\n",
       "      <td>NaN</td>\n",
       "      <td>170.285170</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.791919</td>\n",
       "      <td>27.828849</td>\n",
       "      <td>44.447446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.62</th>\n",
       "      <td>NaN</td>\n",
       "      <td>170.528040</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.792554</td>\n",
       "      <td>27.841141</td>\n",
       "      <td>44.465419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.63</th>\n",
       "      <td>NaN</td>\n",
       "      <td>170.985567</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.804333</td>\n",
       "      <td>27.853557</td>\n",
       "      <td>44.483393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.64</th>\n",
       "      <td>NaN</td>\n",
       "      <td>171.878839</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.818282</td>\n",
       "      <td>27.864195</td>\n",
       "      <td>44.537789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.65</th>\n",
       "      <td>NaN</td>\n",
       "      <td>172.756731</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.810582</td>\n",
       "      <td>27.874649</td>\n",
       "      <td>44.548467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.66</th>\n",
       "      <td>NaN</td>\n",
       "      <td>173.063339</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.825550</td>\n",
       "      <td>27.884856</td>\n",
       "      <td>44.559145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.67</th>\n",
       "      <td>NaN</td>\n",
       "      <td>174.042040</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.838584</td>\n",
       "      <td>27.895727</td>\n",
       "      <td>45.103241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.68</th>\n",
       "      <td>NaN</td>\n",
       "      <td>174.785072</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.832331</td>\n",
       "      <td>27.906034</td>\n",
       "      <td>45.127436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.69</th>\n",
       "      <td>NaN</td>\n",
       "      <td>175.224188</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.846767</td>\n",
       "      <td>27.915749</td>\n",
       "      <td>45.151631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.70</th>\n",
       "      <td>NaN</td>\n",
       "      <td>176.111907</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.858238</td>\n",
       "      <td>27.925456</td>\n",
       "      <td>45.304621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.71</th>\n",
       "      <td>NaN</td>\n",
       "      <td>178.972812</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.861208</td>\n",
       "      <td>27.935144</td>\n",
       "      <td>45.314756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.72</th>\n",
       "      <td>NaN</td>\n",
       "      <td>180.834093</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.866345</td>\n",
       "      <td>27.944508</td>\n",
       "      <td>45.324892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.73</th>\n",
       "      <td>NaN</td>\n",
       "      <td>181.759350</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.876821</td>\n",
       "      <td>27.953512</td>\n",
       "      <td>45.352451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.74</th>\n",
       "      <td>NaN</td>\n",
       "      <td>182.317513</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.886645</td>\n",
       "      <td>27.961334</td>\n",
       "      <td>45.352992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.75</th>\n",
       "      <td>NaN</td>\n",
       "      <td>183.547296</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.887145</td>\n",
       "      <td>27.970137</td>\n",
       "      <td>45.353532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.76</th>\n",
       "      <td>NaN</td>\n",
       "      <td>184.975897</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.893938</td>\n",
       "      <td>27.978324</td>\n",
       "      <td>45.389208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.77</th>\n",
       "      <td>NaN</td>\n",
       "      <td>185.540679</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.902697</td>\n",
       "      <td>27.986454</td>\n",
       "      <td>45.886287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.78</th>\n",
       "      <td>NaN</td>\n",
       "      <td>186.494371</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.904704</td>\n",
       "      <td>27.994100</td>\n",
       "      <td>46.383365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.79</th>\n",
       "      <td>NaN</td>\n",
       "      <td>186.992510</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.912813</td>\n",
       "      <td>28.001823</td>\n",
       "      <td>46.550961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.80</th>\n",
       "      <td>NaN</td>\n",
       "      <td>187.870640</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.921494</td>\n",
       "      <td>28.009754</td>\n",
       "      <td>46.556980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.81</th>\n",
       "      <td>NaN</td>\n",
       "      <td>188.382089</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.921776</td>\n",
       "      <td>28.017414</td>\n",
       "      <td>46.562999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.82</th>\n",
       "      <td>NaN</td>\n",
       "      <td>189.115627</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.928145</td>\n",
       "      <td>28.025199</td>\n",
       "      <td>46.597365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.83</th>\n",
       "      <td>NaN</td>\n",
       "      <td>190.673453</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.937301</td>\n",
       "      <td>28.030003</td>\n",
       "      <td>46.599258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.84</th>\n",
       "      <td>NaN</td>\n",
       "      <td>191.913851</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.935257</td>\n",
       "      <td>28.037178</td>\n",
       "      <td>46.601150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.85</th>\n",
       "      <td>NaN</td>\n",
       "      <td>192.441900</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.941024</td>\n",
       "      <td>28.043497</td>\n",
       "      <td>46.613585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.86</th>\n",
       "      <td>NaN</td>\n",
       "      <td>192.795606</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.950905</td>\n",
       "      <td>28.049721</td>\n",
       "      <td>46.616287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.87</th>\n",
       "      <td>NaN</td>\n",
       "      <td>193.914500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.943936</td>\n",
       "      <td>28.055912</td>\n",
       "      <td>46.618988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.88</th>\n",
       "      <td>NaN</td>\n",
       "      <td>194.558377</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.954668</td>\n",
       "      <td>28.062222</td>\n",
       "      <td>47.161683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.89</th>\n",
       "      <td>NaN</td>\n",
       "      <td>195.685513</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.963573</td>\n",
       "      <td>28.068636</td>\n",
       "      <td>47.644911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.90</th>\n",
       "      <td>NaN</td>\n",
       "      <td>196.104112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.963630</td>\n",
       "      <td>28.074944</td>\n",
       "      <td>48.128138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.91</th>\n",
       "      <td>NaN</td>\n",
       "      <td>196.882294</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.965601</td>\n",
       "      <td>28.081254</td>\n",
       "      <td>48.360731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.92</th>\n",
       "      <td>NaN</td>\n",
       "      <td>197.831525</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.975650</td>\n",
       "      <td>28.084735</td>\n",
       "      <td>48.361755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.93</th>\n",
       "      <td>NaN</td>\n",
       "      <td>198.128679</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.976016</td>\n",
       "      <td>28.089691</td>\n",
       "      <td>48.362779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.94</th>\n",
       "      <td>NaN</td>\n",
       "      <td>198.966059</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.972552</td>\n",
       "      <td>28.096072</td>\n",
       "      <td>48.369267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.95</th>\n",
       "      <td>NaN</td>\n",
       "      <td>200.624482</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.981596</td>\n",
       "      <td>28.099951</td>\n",
       "      <td>48.399270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.96</th>\n",
       "      <td>NaN</td>\n",
       "      <td>202.030989</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.989492</td>\n",
       "      <td>28.104805</td>\n",
       "      <td>48.429273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.97</th>\n",
       "      <td>NaN</td>\n",
       "      <td>202.794948</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.993512</td>\n",
       "      <td>28.110359</td>\n",
       "      <td>48.430354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.98</th>\n",
       "      <td>NaN</td>\n",
       "      <td>203.878613</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.075053</td>\n",
       "      <td>28.123479</td>\n",
       "      <td>48.430489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.99</th>\n",
       "      <td>NaN</td>\n",
       "      <td>205.247695</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.219967</td>\n",
       "      <td>28.204484</td>\n",
       "      <td>48.430625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>212.643492</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.377646</td>\n",
       "      <td>28.464211</td>\n",
       "      <td>48.430625</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "library   g1_v6-ref-ignore-build  livegraph3_ro  llama8-ref  sortledton  \\\n",
       "progress                                                                  \n",
       "0.00                    1.572023       2.511944    2.851423    2.496474   \n",
       "0.01                    2.674633       6.043957    5.329428    3.059972   \n",
       "0.02                    5.620141       9.874645    7.943153    3.301341   \n",
       "0.03                    8.157665      13.574184   10.759293    5.517493   \n",
       "0.04                   10.311148      17.274229   13.360379    7.089490   \n",
       "0.05                   12.122171      21.353068   16.037448    7.767105   \n",
       "0.06                   12.996047      26.326477   18.992077    9.699812   \n",
       "0.07                   14.237884      32.525654   21.995654   12.206929   \n",
       "0.08                   16.158284      40.295800   25.210217   13.340140   \n",
       "0.09                   15.985580      45.594081   28.465091   14.761998   \n",
       "0.10                   17.807835      55.196725   31.706353   16.023934   \n",
       "0.11                   18.508299      76.988965   34.874281   16.254843   \n",
       "0.12                   19.144305      88.984042   38.018417   16.329954   \n",
       "0.13                   19.479458      94.614793   41.171147   16.406709   \n",
       "0.14                   22.661124      98.581040   44.477611   16.434346   \n",
       "0.15                   23.317383     102.044594   47.987371   16.485487   \n",
       "0.16                   23.970498     104.640814   51.657008   16.540795   \n",
       "0.17                   24.101583     106.739952   55.602867   16.554646   \n",
       "0.18                   23.554314     108.902613   59.704647   16.598644   \n",
       "0.19                   26.822231     110.865625   63.967970   16.644548   \n",
       "0.20                   27.902680     112.656123   68.537778   16.689585   \n",
       "0.21                   28.846291     113.916935   73.369503   16.688258   \n",
       "0.22                   28.131413     115.781008   78.407959   17.197923   \n",
       "0.23                   28.455819     118.272321   83.576807   17.235152   \n",
       "0.24                   30.069348     120.216727   89.070026   17.235115   \n",
       "0.25                   32.733659     124.237375   94.639921   17.271184   \n",
       "0.26                   33.441555     126.559046  100.414226   17.334789   \n",
       "0.27                   32.847825     128.380408  106.303230   17.331015   \n",
       "0.28                   33.032121     129.742361  112.401137   17.338063   \n",
       "0.29                   34.687886     130.899788  118.663917   17.364347   \n",
       "0.30                   37.313968     132.019601  125.097519   17.385754   \n",
       "0.31                   38.064511     133.464942  131.751183   17.396895   \n",
       "0.32                   37.192962     134.531952  138.551789   17.420215   \n",
       "0.33                   37.234228     135.585237  145.542887   17.439010   \n",
       "0.34                   39.202223     137.351716  152.676661   17.453737   \n",
       "0.35                   41.863872     140.133293  160.052474   17.474774   \n",
       "0.36                   41.390514     141.653725  167.495735   17.486958   \n",
       "0.37                   42.593325     142.255090  175.128161   17.502805   \n",
       "0.38                   41.687344     143.982213  182.966955   17.523553   \n",
       "0.39                   43.801331     147.687273  190.989265   17.546257   \n",
       "0.40                   46.419473     150.730297  198.637908   17.545165   \n",
       "0.41                   45.975508     151.843137  205.052171   17.566525   \n",
       "0.42                   47.166915     152.915266  208.041349   17.588570   \n",
       "0.43                   46.285962     154.720049  208.041349   17.582178   \n",
       "0.44                   48.807055     155.583769         NaN   17.605891   \n",
       "0.45                   49.873600     156.586711         NaN   17.626199   \n",
       "0.46                   50.803499     157.819620         NaN   17.621959   \n",
       "0.47                   51.733397     159.342180         NaN   17.641732   \n",
       "0.48                   51.268005     160.525977         NaN   17.658842   \n",
       "0.49                   50.802612     160.969000         NaN   17.665787   \n",
       "0.50                   54.482587     162.060936         NaN   17.675621   \n",
       "0.51                   54.478324     162.639501         NaN   17.691079   \n",
       "0.52                   54.639877     163.452362         NaN   17.705235   \n",
       "0.53                   54.801429     163.780031         NaN   17.711785   \n",
       "0.54                   55.284647     164.115089         NaN   17.722060   \n",
       "0.55                   55.284647     165.660590         NaN   17.734837   \n",
       "0.56                         NaN     166.073763         NaN   17.740373   \n",
       "0.57                         NaN     166.525167         NaN   17.750782   \n",
       "0.58                         NaN     167.661632         NaN   17.763628   \n",
       "0.59                         NaN     168.306660         NaN   17.766682   \n",
       "0.60                         NaN     169.683853         NaN   17.778878   \n",
       "0.61                         NaN     170.285170         NaN   17.791919   \n",
       "0.62                         NaN     170.528040         NaN   17.792554   \n",
       "0.63                         NaN     170.985567         NaN   17.804333   \n",
       "0.64                         NaN     171.878839         NaN   17.818282   \n",
       "0.65                         NaN     172.756731         NaN   17.810582   \n",
       "0.66                         NaN     173.063339         NaN   17.825550   \n",
       "0.67                         NaN     174.042040         NaN   17.838584   \n",
       "0.68                         NaN     174.785072         NaN   17.832331   \n",
       "0.69                         NaN     175.224188         NaN   17.846767   \n",
       "0.70                         NaN     176.111907         NaN   17.858238   \n",
       "0.71                         NaN     178.972812         NaN   17.861208   \n",
       "0.72                         NaN     180.834093         NaN   17.866345   \n",
       "0.73                         NaN     181.759350         NaN   17.876821   \n",
       "0.74                         NaN     182.317513         NaN   17.886645   \n",
       "0.75                         NaN     183.547296         NaN   17.887145   \n",
       "0.76                         NaN     184.975897         NaN   17.893938   \n",
       "0.77                         NaN     185.540679         NaN   17.902697   \n",
       "0.78                         NaN     186.494371         NaN   17.904704   \n",
       "0.79                         NaN     186.992510         NaN   17.912813   \n",
       "0.80                         NaN     187.870640         NaN   17.921494   \n",
       "0.81                         NaN     188.382089         NaN   17.921776   \n",
       "0.82                         NaN     189.115627         NaN   17.928145   \n",
       "0.83                         NaN     190.673453         NaN   17.937301   \n",
       "0.84                         NaN     191.913851         NaN   17.935257   \n",
       "0.85                         NaN     192.441900         NaN   17.941024   \n",
       "0.86                         NaN     192.795606         NaN   17.950905   \n",
       "0.87                         NaN     193.914500         NaN   17.943936   \n",
       "0.88                         NaN     194.558377         NaN   17.954668   \n",
       "0.89                         NaN     195.685513         NaN   17.963573   \n",
       "0.90                         NaN     196.104112         NaN   17.963630   \n",
       "0.91                         NaN     196.882294         NaN   17.965601   \n",
       "0.92                         NaN     197.831525         NaN   17.975650   \n",
       "0.93                         NaN     198.128679         NaN   17.976016   \n",
       "0.94                         NaN     198.966059         NaN   17.972552   \n",
       "0.95                         NaN     200.624482         NaN   17.981596   \n",
       "0.96                         NaN     202.030989         NaN   17.989492   \n",
       "0.97                         NaN     202.794948         NaN   17.993512   \n",
       "0.98                         NaN     203.878613         NaN   18.075053   \n",
       "0.99                         NaN     205.247695         NaN   18.219967   \n",
       "1.00                         NaN     212.643492         NaN   18.377646   \n",
       "\n",
       "library   stinger7-ref  teseo-lcc.12  \n",
       "progress                              \n",
       "0.00          3.945597      2.464463  \n",
       "0.01          7.532104      6.384286  \n",
       "0.02          9.781082      8.866674  \n",
       "0.03         11.863910     11.884349  \n",
       "0.04         13.888216     15.194638  \n",
       "0.05         15.909464     18.353686  \n",
       "0.06         17.932709     20.113545  \n",
       "0.07         19.927654     21.873403  \n",
       "0.08         21.893976     25.598543  \n",
       "0.09         23.839480     28.891388  \n",
       "0.10         25.455166     30.689637  \n",
       "0.11         26.007433     32.487885  \n",
       "0.12         26.156394     35.930323  \n",
       "0.13         26.270919     36.543961  \n",
       "0.14         26.368336     37.157599  \n",
       "0.15         26.454624     37.629389  \n",
       "0.16         26.532447     38.101178  \n",
       "0.17         26.604024     38.899067  \n",
       "0.18         26.669571     39.073297  \n",
       "0.19         26.729799     39.247527  \n",
       "0.20         26.786794     39.813746  \n",
       "0.21         26.840111     39.985792  \n",
       "0.22         26.890202     40.157838  \n",
       "0.23         26.937411     40.301804  \n",
       "0.24         26.982267     40.605103  \n",
       "0.25         27.025142     40.908401  \n",
       "0.26         27.065395     41.447341  \n",
       "0.27         27.103761     41.598168  \n",
       "0.28         27.139531     41.748996  \n",
       "0.29         27.174374     41.776836  \n",
       "0.30         27.208227     41.847109  \n",
       "0.31         27.240663     41.917382  \n",
       "0.32         27.271497     41.949282  \n",
       "0.33         27.300939     41.964285  \n",
       "0.34         27.329125     41.979289  \n",
       "0.35         27.356601     42.576654  \n",
       "0.36         27.383594     42.621935  \n",
       "0.37         27.409051     42.667217  \n",
       "0.38         27.433540     42.682356  \n",
       "0.39         27.457095     42.756954  \n",
       "0.40         27.480324     42.831553  \n",
       "0.41         27.502028     42.841825  \n",
       "0.42         27.523746     42.918459  \n",
       "0.43         27.544316     42.995093  \n",
       "0.44         27.564564     42.998071  \n",
       "0.45         27.584579     43.297973  \n",
       "0.46         27.603054     43.597874  \n",
       "0.47         27.620918     43.605452  \n",
       "0.48         27.638612     43.610723  \n",
       "0.49         27.655841     43.615995  \n",
       "0.50         27.672587     43.696563  \n",
       "0.51         27.688877     43.704405  \n",
       "0.52         27.704867     43.712246  \n",
       "0.53         27.720495     43.741441  \n",
       "0.54         27.736083     43.770635  \n",
       "0.55         27.749942     43.874957  \n",
       "0.56         27.763541     44.122679  \n",
       "0.57         27.777199     44.370401  \n",
       "0.58         27.790740     44.434192  \n",
       "0.59         27.803834     44.437170  \n",
       "0.60         27.816549     44.440147  \n",
       "0.61         27.828849     44.447446  \n",
       "0.62         27.841141     44.465419  \n",
       "0.63         27.853557     44.483393  \n",
       "0.64         27.864195     44.537789  \n",
       "0.65         27.874649     44.548467  \n",
       "0.66         27.884856     44.559145  \n",
       "0.67         27.895727     45.103241  \n",
       "0.68         27.906034     45.127436  \n",
       "0.69         27.915749     45.151631  \n",
       "0.70         27.925456     45.304621  \n",
       "0.71         27.935144     45.314756  \n",
       "0.72         27.944508     45.324892  \n",
       "0.73         27.953512     45.352451  \n",
       "0.74         27.961334     45.352992  \n",
       "0.75         27.970137     45.353532  \n",
       "0.76         27.978324     45.389208  \n",
       "0.77         27.986454     45.886287  \n",
       "0.78         27.994100     46.383365  \n",
       "0.79         28.001823     46.550961  \n",
       "0.80         28.009754     46.556980  \n",
       "0.81         28.017414     46.562999  \n",
       "0.82         28.025199     46.597365  \n",
       "0.83         28.030003     46.599258  \n",
       "0.84         28.037178     46.601150  \n",
       "0.85         28.043497     46.613585  \n",
       "0.86         28.049721     46.616287  \n",
       "0.87         28.055912     46.618988  \n",
       "0.88         28.062222     47.161683  \n",
       "0.89         28.068636     47.644911  \n",
       "0.90         28.074944     48.128138  \n",
       "0.91         28.081254     48.360731  \n",
       "0.92         28.084735     48.361755  \n",
       "0.93         28.089691     48.362779  \n",
       "0.94         28.096072     48.369267  \n",
       "0.95         28.099951     48.399270  \n",
       "0.96         28.104805     48.429273  \n",
       "0.97         28.110359     48.430354  \n",
       "0.98         28.123479     48.430489  \n",
       "0.99         28.204484     48.430625  \n",
       "1.00         28.464211     48.430625  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "memory_consumption_pivot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2320cb22",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1360x840.526 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## FIGURE 11c\n",
    "\n",
    "matplotlib.style.use('classic')\n",
    "\n",
    "colormap=common.set_library_colormap(\"\")\n",
    "\n",
    "plotting.latexify(fig_width=3.4)\n",
    "p= memory_consumption_pivot.plot.line(color=colormap, legend=None)\n",
    "\n",
    "plt.xlabel(\"Progress\")\n",
    "plt.ylabel(\"Memory Consumption [GB]\")\n",
    "\n",
    "plt.annotate(\"X\", (0.42, 204))\n",
    "plt.annotate(\"X\", (0.54, 51))\n",
    "\n",
    "plotting.format_axes(p)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(plotting.base_path + \"memory_consumption-new.png\", dpi=400)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83bbf17b",
   "metadata": {},
   "source": [
    "## Throughput"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "38c455ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "throughput_data = common.import_gfe(\"view_updates_throughput\").query(experiments).query(\"is_mixed_workload == 0\")\n",
    "throughput_data[\"minute\"] = (throughput_data[\"second\"] / 60).round(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "165dc756",
   "metadata": {},
   "outputs": [
    {
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       "      <th>library</th>\n",
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       "    <tr>\n",
       "      <th>g1_v6-ref-ignore-build</th>\n",
       "      <td>600.0</td>\n",
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       "      <th>livegraph3_ro</th>\n",
       "      <td>135.2</td>\n",
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       "      <th>llama8-ref</th>\n",
       "      <td>142.8</td>\n",
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       "    <tr>\n",
       "      <th>sortledton</th>\n",
       "      <td>10.5</td>\n",
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       "    <tr>\n",
       "      <th>sortledton.1</th>\n",
       "      <td>12.0</td>\n",
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       "    <tr>\n",
       "      <th>sortledton.3</th>\n",
       "      <td>12.4</td>\n",
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       "    <tr>\n",
       "      <th>stinger7-ref</th>\n",
       "      <td>400.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teseo-lcc.12</th>\n",
       "      <td>11.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        max_min\n",
       "library                        \n",
       "g1_v6-ref-ignore-build    600.0\n",
       "livegraph3_ro             135.2\n",
       "llama8-ref                142.8\n",
       "sortledton                 10.5\n",
       "sortledton.1               12.0\n",
       "sortledton.3               12.4\n",
       "stinger7-ref              400.5\n",
       "teseo-lcc.12               11.3"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max_minute = throughput_data.groupby(\"library\").aggregate(max_min=(\"minute\", \"max\"))\n",
    "max_minute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b516031b",
   "metadata": {},
   "outputs": [
    {
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       "      <th>library</th>\n",
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       "    <tr>\n",
       "      <th>minute</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.0</th>\n",
       "      <td>4.225902e+05</td>\n",
       "      <td>336833.222222</td>\n",
       "      <td>293902.666667</td>\n",
       "      <td>3.221436e+06</td>\n",
       "      <td>2.485171e+06</td>\n",
       "      <td>5.820855e+05</td>\n",
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       "    <tr>\n",
       "      <th>0.1</th>\n",
       "      <td>1.286985e+06</td>\n",
       "      <td>336981.333333</td>\n",
       "      <td>368307.733333</td>\n",
       "      <td>4.265422e+06</td>\n",
       "      <td>2.107115e+06</td>\n",
       "      <td>1.873297e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.2</th>\n",
       "      <td>2.986649e+06</td>\n",
       "      <td>338115.642857</td>\n",
       "      <td>250201.095238</td>\n",
       "      <td>4.138794e+06</td>\n",
       "      <td>1.168530e+06</td>\n",
       "      <td>2.588274e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.3</th>\n",
       "      <td>3.463639e+06</td>\n",
       "      <td>337343.266667</td>\n",
       "      <td>418431.666667</td>\n",
       "      <td>4.001570e+06</td>\n",
       "      <td>8.773690e+05</td>\n",
       "      <td>2.543459e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.4</th>\n",
       "      <td>3.593066e+06</td>\n",
       "      <td>338868.452381</td>\n",
       "      <td>194937.000000</td>\n",
       "      <td>3.900567e+06</td>\n",
       "      <td>7.315835e+05</td>\n",
       "      <td>2.855839e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.5</th>\n",
       "      <td>3.578616e+06</td>\n",
       "      <td>336670.600000</td>\n",
       "      <td>409139.666667</td>\n",
       "      <td>3.831554e+06</td>\n",
       "      <td>6.357481e+05</td>\n",
       "      <td>3.048196e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.6</th>\n",
       "      <td>3.562506e+06</td>\n",
       "      <td>337548.738095</td>\n",
       "      <td>253284.952381</td>\n",
       "      <td>3.770234e+06</td>\n",
       "      <td>5.675953e+05</td>\n",
       "      <td>3.352881e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.7</th>\n",
       "      <td>3.514801e+06</td>\n",
       "      <td>338375.033333</td>\n",
       "      <td>329291.200000</td>\n",
       "      <td>3.702093e+06</td>\n",
       "      <td>5.171115e+05</td>\n",
       "      <td>3.554411e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.8</th>\n",
       "      <td>3.558459e+06</td>\n",
       "      <td>338225.119048</td>\n",
       "      <td>352480.095238</td>\n",
       "      <td>3.649958e+06</td>\n",
       "      <td>4.788555e+05</td>\n",
       "      <td>3.740470e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.9</th>\n",
       "      <td>3.589280e+06</td>\n",
       "      <td>337376.800000</td>\n",
       "      <td>200149.000000</td>\n",
       "      <td>3.624642e+06</td>\n",
       "      <td>4.473226e+05</td>\n",
       "      <td>3.336286e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>3.548972e+06</td>\n",
       "      <td>338798.547619</td>\n",
       "      <td>427809.571429</td>\n",
       "      <td>3.455877e+06</td>\n",
       "      <td>4.198183e+05</td>\n",
       "      <td>3.620645e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.1</th>\n",
       "      <td>3.622662e+06</td>\n",
       "      <td>339288.133333</td>\n",
       "      <td>94378.800000</td>\n",
       "      <td>3.551007e+06</td>\n",
       "      <td>3.962000e+05</td>\n",
       "      <td>3.654226e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.2</th>\n",
       "      <td>3.556280e+06</td>\n",
       "      <td>338631.571429</td>\n",
       "      <td>420887.761905</td>\n",
       "      <td>3.690896e+06</td>\n",
       "      <td>3.771695e+05</td>\n",
       "      <td>3.831425e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.3</th>\n",
       "      <td>3.581867e+06</td>\n",
       "      <td>338410.933333</td>\n",
       "      <td>208430.800000</td>\n",
       "      <td>3.707791e+06</td>\n",
       "      <td>3.611358e+05</td>\n",
       "      <td>3.798944e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.4</th>\n",
       "      <td>3.662571e+06</td>\n",
       "      <td>339804.619048</td>\n",
       "      <td>344196.333333</td>\n",
       "      <td>3.709724e+06</td>\n",
       "      <td>3.468691e+05</td>\n",
       "      <td>4.163428e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.5</th>\n",
       "      <td>4.150795e+06</td>\n",
       "      <td>339815.600000</td>\n",
       "      <td>381068.733333</td>\n",
       "      <td>3.710459e+06</td>\n",
       "      <td>3.333587e+05</td>\n",
       "      <td>4.280279e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.6</th>\n",
       "      <td>3.383415e+06</td>\n",
       "      <td>340147.190476</td>\n",
       "      <td>225270.380952</td>\n",
       "      <td>3.711506e+06</td>\n",
       "      <td>3.219622e+05</td>\n",
       "      <td>4.184198e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.7</th>\n",
       "      <td>3.100128e+06</td>\n",
       "      <td>339325.200000</td>\n",
       "      <td>448720.266667</td>\n",
       "      <td>3.710849e+06</td>\n",
       "      <td>3.113091e+05</td>\n",
       "      <td>4.215696e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.8</th>\n",
       "      <td>2.380528e+06</td>\n",
       "      <td>338736.071429</td>\n",
       "      <td>192515.619048</td>\n",
       "      <td>3.711779e+06</td>\n",
       "      <td>3.013645e+05</td>\n",
       "      <td>4.042667e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.9</th>\n",
       "      <td>1.070713e+06</td>\n",
       "      <td>340618.433333</td>\n",
       "      <td>439823.400000</td>\n",
       "      <td>3.712781e+06</td>\n",
       "      <td>2.923001e+05</td>\n",
       "      <td>4.161165e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>3.023419e+05</td>\n",
       "      <td>338562.976190</td>\n",
       "      <td>218991.619048</td>\n",
       "      <td>3.705730e+06</td>\n",
       "      <td>2.842874e+05</td>\n",
       "      <td>4.135818e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338112.066667</td>\n",
       "      <td>409327.466667</td>\n",
       "      <td>3.703152e+06</td>\n",
       "      <td>2.773824e+05</td>\n",
       "      <td>4.114034e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339677.261905</td>\n",
       "      <td>323435.428571</td>\n",
       "      <td>3.708466e+06</td>\n",
       "      <td>2.701332e+05</td>\n",
       "      <td>4.153319e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338325.533333</td>\n",
       "      <td>269096.866667</td>\n",
       "      <td>3.710077e+06</td>\n",
       "      <td>2.629170e+05</td>\n",
       "      <td>4.059914e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338695.904762</td>\n",
       "      <td>432750.238095</td>\n",
       "      <td>3.660155e+06</td>\n",
       "      <td>2.572965e+05</td>\n",
       "      <td>4.152133e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339383.100000</td>\n",
       "      <td>130245.200000</td>\n",
       "      <td>3.720420e+06</td>\n",
       "      <td>2.517271e+05</td>\n",
       "      <td>4.053023e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339744.333333</td>\n",
       "      <td>456964.904762</td>\n",
       "      <td>3.697241e+06</td>\n",
       "      <td>2.464846e+05</td>\n",
       "      <td>4.116056e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338865.100000</td>\n",
       "      <td>178874.533333</td>\n",
       "      <td>3.726909e+06</td>\n",
       "      <td>2.411546e+05</td>\n",
       "      <td>4.045054e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339074.500000</td>\n",
       "      <td>384809.428571</td>\n",
       "      <td>3.728214e+06</td>\n",
       "      <td>2.364428e+05</td>\n",
       "      <td>4.140507e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338921.566667</td>\n",
       "      <td>380708.133333</td>\n",
       "      <td>3.729741e+06</td>\n",
       "      <td>2.318378e+05</td>\n",
       "      <td>4.103483e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340391.380952</td>\n",
       "      <td>258160.904762</td>\n",
       "      <td>3.727367e+06</td>\n",
       "      <td>2.278017e+05</td>\n",
       "      <td>4.141832e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>341340.133333</td>\n",
       "      <td>472584.333333</td>\n",
       "      <td>3.720185e+06</td>\n",
       "      <td>2.240564e+05</td>\n",
       "      <td>4.095634e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338829.119048</td>\n",
       "      <td>195483.380952</td>\n",
       "      <td>3.727721e+06</td>\n",
       "      <td>2.203231e+05</td>\n",
       "      <td>4.110430e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338879.000000</td>\n",
       "      <td>473167.600000</td>\n",
       "      <td>3.728953e+06</td>\n",
       "      <td>2.165586e+05</td>\n",
       "      <td>4.114938e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340997.380952</td>\n",
       "      <td>264758.380952</td>\n",
       "      <td>3.730989e+06</td>\n",
       "      <td>2.128856e+05</td>\n",
       "      <td>4.117935e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340763.166667</td>\n",
       "      <td>368838.000000</td>\n",
       "      <td>3.733994e+06</td>\n",
       "      <td>2.093117e+05</td>\n",
       "      <td>4.141988e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340134.261905</td>\n",
       "      <td>400144.476190</td>\n",
       "      <td>3.734670e+06</td>\n",
       "      <td>2.067957e+05</td>\n",
       "      <td>4.082679e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340727.766667</td>\n",
       "      <td>203778.600000</td>\n",
       "      <td>3.735510e+06</td>\n",
       "      <td>2.034114e+05</td>\n",
       "      <td>4.107708e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340608.928571</td>\n",
       "      <td>467271.285714</td>\n",
       "      <td>3.735229e+06</td>\n",
       "      <td>2.003181e+05</td>\n",
       "      <td>4.063730e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339238.466667</td>\n",
       "      <td>194616.866667</td>\n",
       "      <td>3.733752e+06</td>\n",
       "      <td>1.980853e+05</td>\n",
       "      <td>4.119690e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340195.142857</td>\n",
       "      <td>410981.047619</td>\n",
       "      <td>3.732294e+06</td>\n",
       "      <td>1.951577e+05</td>\n",
       "      <td>4.094392e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>337537.433333</td>\n",
       "      <td>354120.266667</td>\n",
       "      <td>3.731047e+06</td>\n",
       "      <td>1.922789e+05</td>\n",
       "      <td>4.124773e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339201.619048</td>\n",
       "      <td>260370.857143</td>\n",
       "      <td>3.731305e+06</td>\n",
       "      <td>1.897778e+05</td>\n",
       "      <td>4.096776e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339791.333333</td>\n",
       "      <td>476283.800000</td>\n",
       "      <td>3.732924e+06</td>\n",
       "      <td>1.874405e+05</td>\n",
       "      <td>4.105330e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339893.452381</td>\n",
       "      <td>224230.190476</td>\n",
       "      <td>3.733162e+06</td>\n",
       "      <td>1.851273e+05</td>\n",
       "      <td>4.106781e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339521.800000</td>\n",
       "      <td>486281.466667</td>\n",
       "      <td>3.732201e+06</td>\n",
       "      <td>1.829397e+05</td>\n",
       "      <td>4.098036e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338614.238095</td>\n",
       "      <td>318675.904762</td>\n",
       "      <td>3.733107e+06</td>\n",
       "      <td>1.809378e+05</td>\n",
       "      <td>4.118483e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338311.266667</td>\n",
       "      <td>300325.466667</td>\n",
       "      <td>3.733599e+06</td>\n",
       "      <td>1.784806e+05</td>\n",
       "      <td>4.066329e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339853.571429</td>\n",
       "      <td>442563.857143</td>\n",
       "      <td>3.733203e+06</td>\n",
       "      <td>1.766597e+05</td>\n",
       "      <td>4.102036e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339646.833333</td>\n",
       "      <td>195602.666667</td>\n",
       "      <td>3.732735e+06</td>\n",
       "      <td>1.744706e+05</td>\n",
       "      <td>4.063694e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>341307.738095</td>\n",
       "      <td>456189.904762</td>\n",
       "      <td>3.732259e+06</td>\n",
       "      <td>1.727887e+05</td>\n",
       "      <td>4.092111e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338283.600000</td>\n",
       "      <td>309458.666667</td>\n",
       "      <td>3.731330e+06</td>\n",
       "      <td>1.708995e+05</td>\n",
       "      <td>4.091862e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339546.928571</td>\n",
       "      <td>367332.380952</td>\n",
       "      <td>3.730947e+06</td>\n",
       "      <td>1.691784e+05</td>\n",
       "      <td>4.097108e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340084.766667</td>\n",
       "      <td>385502.266667</td>\n",
       "      <td>3.733583e+06</td>\n",
       "      <td>1.673698e+05</td>\n",
       "      <td>4.108798e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339355.547619</td>\n",
       "      <td>261962.761905</td>\n",
       "      <td>3.732837e+06</td>\n",
       "      <td>1.658158e+05</td>\n",
       "      <td>4.084744e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339162.600000</td>\n",
       "      <td>455295.666667</td>\n",
       "      <td>3.732357e+06</td>\n",
       "      <td>1.640179e+05</td>\n",
       "      <td>4.122089e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339602.047619</td>\n",
       "      <td>300734.619048</td>\n",
       "      <td>3.733028e+06</td>\n",
       "      <td>1.627073e+05</td>\n",
       "      <td>4.082041e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340387.666667</td>\n",
       "      <td>328768.200000</td>\n",
       "      <td>3.733310e+06</td>\n",
       "      <td>1.611956e+05</td>\n",
       "      <td>4.118297e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339097.238095</td>\n",
       "      <td>404680.142857</td>\n",
       "      <td>3.733190e+06</td>\n",
       "      <td>1.596378e+05</td>\n",
       "      <td>4.063667e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339384.833333</td>\n",
       "      <td>222764.266667</td>\n",
       "      <td>3.733125e+06</td>\n",
       "      <td>1.581656e+05</td>\n",
       "      <td>4.101057e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339050.452381</td>\n",
       "      <td>381597.380952</td>\n",
       "      <td>3.732213e+06</td>\n",
       "      <td>1.566999e+05</td>\n",
       "      <td>4.029374e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339711.100000</td>\n",
       "      <td>384179.133333</td>\n",
       "      <td>3.730844e+06</td>\n",
       "      <td>1.555414e+05</td>\n",
       "      <td>4.099599e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338959.809524</td>\n",
       "      <td>313353.285714</td>\n",
       "      <td>3.731560e+06</td>\n",
       "      <td>1.540049e+05</td>\n",
       "      <td>4.068738e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>337796.566667</td>\n",
       "      <td>410927.533333</td>\n",
       "      <td>3.730702e+06</td>\n",
       "      <td>1.525401e+05</td>\n",
       "      <td>4.120256e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339982.619048</td>\n",
       "      <td>261924.428571</td>\n",
       "      <td>3.732130e+06</td>\n",
       "      <td>1.512234e+05</td>\n",
       "      <td>4.090494e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338464.900000</td>\n",
       "      <td>353901.733333</td>\n",
       "      <td>3.731227e+06</td>\n",
       "      <td>1.500449e+05</td>\n",
       "      <td>4.097566e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340848.119048</td>\n",
       "      <td>351337.047619</td>\n",
       "      <td>3.732301e+06</td>\n",
       "      <td>1.488497e+05</td>\n",
       "      <td>4.091179e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338437.066667</td>\n",
       "      <td>291010.800000</td>\n",
       "      <td>3.731832e+06</td>\n",
       "      <td>1.476562e+05</td>\n",
       "      <td>4.082066e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340140.261905</td>\n",
       "      <td>391488.428571</td>\n",
       "      <td>3.731601e+06</td>\n",
       "      <td>1.465403e+05</td>\n",
       "      <td>4.095116e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340569.100000</td>\n",
       "      <td>290305.133333</td>\n",
       "      <td>3.732497e+06</td>\n",
       "      <td>1.454762e+05</td>\n",
       "      <td>4.040660e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339886.261905</td>\n",
       "      <td>356702.714286</td>\n",
       "      <td>3.732148e+06</td>\n",
       "      <td>1.442480e+05</td>\n",
       "      <td>4.073288e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>341041.000000</td>\n",
       "      <td>322155.600000</td>\n",
       "      <td>3.731300e+06</td>\n",
       "      <td>1.432943e+05</td>\n",
       "      <td>4.029021e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338882.571429</td>\n",
       "      <td>258839.761905</td>\n",
       "      <td>3.730748e+06</td>\n",
       "      <td>1.422453e+05</td>\n",
       "      <td>4.072768e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338986.333333</td>\n",
       "      <td>405372.133333</td>\n",
       "      <td>3.730228e+06</td>\n",
       "      <td>1.412194e+05</td>\n",
       "      <td>4.058576e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339655.071429</td>\n",
       "      <td>309478.047619</td>\n",
       "      <td>3.731740e+06</td>\n",
       "      <td>1.402252e+05</td>\n",
       "      <td>4.105895e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>337731.366667</td>\n",
       "      <td>232408.533333</td>\n",
       "      <td>3.731262e+06</td>\n",
       "      <td>1.394424e+05</td>\n",
       "      <td>4.079715e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339545.714286</td>\n",
       "      <td>373582.095238</td>\n",
       "      <td>3.732287e+06</td>\n",
       "      <td>1.381860e+05</td>\n",
       "      <td>4.105321e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338972.833333</td>\n",
       "      <td>276539.733333</td>\n",
       "      <td>3.732197e+06</td>\n",
       "      <td>1.374412e+05</td>\n",
       "      <td>4.067821e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340221.880952</td>\n",
       "      <td>335300.142857</td>\n",
       "      <td>3.731210e+06</td>\n",
       "      <td>1.365105e+05</td>\n",
       "      <td>4.082768e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>336449.566667</td>\n",
       "      <td>372586.133333</td>\n",
       "      <td>3.730313e+06</td>\n",
       "      <td>1.354617e+05</td>\n",
       "      <td>4.071295e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.0</th>\n",
       "      <td>4.065835e+05</td>\n",
       "      <td>340098.619048</td>\n",
       "      <td>283560.000000</td>\n",
       "      <td>3.729129e+06</td>\n",
       "      <td>1.346771e+05</td>\n",
       "      <td>4.062930e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.1</th>\n",
       "      <td>7.608308e+05</td>\n",
       "      <td>337459.833333</td>\n",
       "      <td>374237.933333</td>\n",
       "      <td>3.726348e+06</td>\n",
       "      <td>1.337837e+05</td>\n",
       "      <td>4.039444e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.2</th>\n",
       "      <td>4.371446e+05</td>\n",
       "      <td>339573.404762</td>\n",
       "      <td>286713.000000</td>\n",
       "      <td>3.727224e+06</td>\n",
       "      <td>1.330145e+05</td>\n",
       "      <td>4.034671e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339634.900000</td>\n",
       "      <td>259680.466667</td>\n",
       "      <td>3.726629e+06</td>\n",
       "      <td>1.321105e+05</td>\n",
       "      <td>4.055529e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.4</th>\n",
       "      <td>4.462973e+05</td>\n",
       "      <td>339501.333333</td>\n",
       "      <td>317505.000000</td>\n",
       "      <td>3.727293e+06</td>\n",
       "      <td>1.313676e+05</td>\n",
       "      <td>4.071502e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.5</th>\n",
       "      <td>6.864978e+05</td>\n",
       "      <td>338987.300000</td>\n",
       "      <td>316060.666667</td>\n",
       "      <td>3.726681e+06</td>\n",
       "      <td>1.306220e+05</td>\n",
       "      <td>4.064916e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.6</th>\n",
       "      <td>2.071064e+05</td>\n",
       "      <td>339479.357143</td>\n",
       "      <td>251737.571429</td>\n",
       "      <td>3.726267e+06</td>\n",
       "      <td>1.298668e+05</td>\n",
       "      <td>4.085014e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340623.933333</td>\n",
       "      <td>351901.000000</td>\n",
       "      <td>3.725757e+06</td>\n",
       "      <td>1.290729e+05</td>\n",
       "      <td>4.088238e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339592.071429</td>\n",
       "      <td>314210.857143</td>\n",
       "      <td>3.725776e+06</td>\n",
       "      <td>1.282320e+05</td>\n",
       "      <td>4.055150e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338453.133333</td>\n",
       "      <td>266837.333333</td>\n",
       "      <td>3.726929e+06</td>\n",
       "      <td>1.271826e+05</td>\n",
       "      <td>4.082891e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339485.523810</td>\n",
       "      <td>330978.904762</td>\n",
       "      <td>3.726994e+06</td>\n",
       "      <td>1.267863e+05</td>\n",
       "      <td>4.056493e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340660.966667</td>\n",
       "      <td>228311.533333</td>\n",
       "      <td>3.726296e+06</td>\n",
       "      <td>1.260513e+05</td>\n",
       "      <td>4.080174e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339123.952381</td>\n",
       "      <td>351388.428571</td>\n",
       "      <td>3.727913e+06</td>\n",
       "      <td>1.254554e+05</td>\n",
       "      <td>4.031804e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339472.400000</td>\n",
       "      <td>255469.733333</td>\n",
       "      <td>3.728430e+06</td>\n",
       "      <td>1.246235e+05</td>\n",
       "      <td>4.043017e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339578.452381</td>\n",
       "      <td>304624.619048</td>\n",
       "      <td>3.728500e+06</td>\n",
       "      <td>1.238194e+05</td>\n",
       "      <td>4.019546e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340039.433333</td>\n",
       "      <td>305762.400000</td>\n",
       "      <td>3.729300e+06</td>\n",
       "      <td>1.233705e+05</td>\n",
       "      <td>4.061065e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340493.404762</td>\n",
       "      <td>260458.619048</td>\n",
       "      <td>3.729566e+06</td>\n",
       "      <td>1.225156e+05</td>\n",
       "      <td>4.058894e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338734.533333</td>\n",
       "      <td>347776.466667</td>\n",
       "      <td>3.727360e+06</td>\n",
       "      <td>1.221516e+05</td>\n",
       "      <td>4.050796e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339564.904762</td>\n",
       "      <td>256119.190476</td>\n",
       "      <td>3.728382e+06</td>\n",
       "      <td>1.214267e+05</td>\n",
       "      <td>4.078494e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>337079.800000</td>\n",
       "      <td>292483.133333</td>\n",
       "      <td>3.726818e+06</td>\n",
       "      <td>1.207567e+05</td>\n",
       "      <td>4.056317e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338901.904762</td>\n",
       "      <td>265754.904762</td>\n",
       "      <td>3.727205e+06</td>\n",
       "      <td>1.199600e+05</td>\n",
       "      <td>4.061432e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>340043.866667</td>\n",
       "      <td>312274.066667</td>\n",
       "      <td>3.725742e+06</td>\n",
       "      <td>1.193332e+05</td>\n",
       "      <td>4.015268e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338793.166667</td>\n",
       "      <td>308988.333333</td>\n",
       "      <td>3.727622e+06</td>\n",
       "      <td>1.188846e+05</td>\n",
       "      <td>4.050654e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339378.666667</td>\n",
       "      <td>240534.866667</td>\n",
       "      <td>3.730549e+06</td>\n",
       "      <td>1.182954e+05</td>\n",
       "      <td>4.027881e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338696.190476</td>\n",
       "      <td>338823.047619</td>\n",
       "      <td>3.732066e+06</td>\n",
       "      <td>1.176928e+05</td>\n",
       "      <td>4.067429e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>337456.500000</td>\n",
       "      <td>189775.933333</td>\n",
       "      <td>3.732298e+06</td>\n",
       "      <td>1.171868e+05</td>\n",
       "      <td>4.004848e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339681.904762</td>\n",
       "      <td>305867.333333</td>\n",
       "      <td>3.736016e+06</td>\n",
       "      <td>1.165625e+05</td>\n",
       "      <td>4.055132e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>341189.533333</td>\n",
       "      <td>299445.200000</td>\n",
       "      <td>3.737443e+06</td>\n",
       "      <td>1.157840e+05</td>\n",
       "      <td>3.988071e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339735.880952</td>\n",
       "      <td>258432.571429</td>\n",
       "      <td>3.739668e+06</td>\n",
       "      <td>1.154385e+05</td>\n",
       "      <td>3.750378e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338839.333333</td>\n",
       "      <td>359885.066667</td>\n",
       "      <td>3.742993e+06</td>\n",
       "      <td>1.148723e+05</td>\n",
       "      <td>3.943037e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338977.690476</td>\n",
       "      <td>239117.714286</td>\n",
       "      <td>3.748029e+06</td>\n",
       "      <td>1.144922e+05</td>\n",
       "      <td>3.893098e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339594.000000</td>\n",
       "      <td>269640.666667</td>\n",
       "      <td>3.739895e+06</td>\n",
       "      <td>1.138039e+05</td>\n",
       "      <td>3.940770e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338625.761905</td>\n",
       "      <td>220881.666667</td>\n",
       "      <td>3.496296e+06</td>\n",
       "      <td>1.132929e+05</td>\n",
       "      <td>3.904357e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339410.600000</td>\n",
       "      <td>323913.266667</td>\n",
       "      <td>3.178192e+06</td>\n",
       "      <td>1.127906e+05</td>\n",
       "      <td>3.665124e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>337913.952381</td>\n",
       "      <td>278046.666667</td>\n",
       "      <td>2.865682e+06</td>\n",
       "      <td>1.124184e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338704.200000</td>\n",
       "      <td>216076.133333</td>\n",
       "      <td>2.717425e+06</td>\n",
       "      <td>1.121870e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339576.595238</td>\n",
       "      <td>266071.476190</td>\n",
       "      <td>3.570325e+06</td>\n",
       "      <td>1.113108e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338332.933333</td>\n",
       "      <td>276138.333333</td>\n",
       "      <td>3.559053e+06</td>\n",
       "      <td>1.108918e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338078.833333</td>\n",
       "      <td>252229.285714</td>\n",
       "      <td>3.553834e+06</td>\n",
       "      <td>1.104278e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339362.500000</td>\n",
       "      <td>314636.333333</td>\n",
       "      <td>3.404897e+06</td>\n",
       "      <td>1.099567e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>339096.066667</td>\n",
       "      <td>212542.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.071906e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>338082.761905</td>\n",
       "      <td>304039.714286</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.068898e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>337157.233333</td>\n",
       "      <td>280899.266667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.064989e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>333164.571429</td>\n",
       "      <td>281264.904762</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.058383e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328108.600000</td>\n",
       "      <td>274271.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.055105e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328905.309524</td>\n",
       "      <td>207293.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.049856e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>329699.900000</td>\n",
       "      <td>267683.133333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.047113e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13.2</th>\n",
       "      <td>1.308109e+05</td>\n",
       "      <td>326801.690476</td>\n",
       "      <td>297576.190476</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.044868e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13.3</th>\n",
       "      <td>6.704561e+05</td>\n",
       "      <td>328641.900000</td>\n",
       "      <td>247514.466667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.038595e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13.4</th>\n",
       "      <td>6.553555e+05</td>\n",
       "      <td>325764.666667</td>\n",
       "      <td>207457.238095</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.036037e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13.5</th>\n",
       "      <td>1.928064e+05</td>\n",
       "      <td>327375.133333</td>\n",
       "      <td>288462.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.029009e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328824.166667</td>\n",
       "      <td>276779.809524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.026406e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324374.800000</td>\n",
       "      <td>295136.866667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.022362e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327617.952381</td>\n",
       "      <td>280358.095238</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.019883e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321061.533333</td>\n",
       "      <td>239380.400000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.016070e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326638.690476</td>\n",
       "      <td>302791.619048</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.012696e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>320966.633333</td>\n",
       "      <td>180288.066667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.008626e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326170.952381</td>\n",
       "      <td>246213.380952</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.004639e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322690.800000</td>\n",
       "      <td>193509.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.003087e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325426.095238</td>\n",
       "      <td>242528.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.986887e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324039.600000</td>\n",
       "      <td>236658.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.950027e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324539.952381</td>\n",
       "      <td>273935.095238</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.921576e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.7</th>\n",
       "      <td>3.594385e+05</td>\n",
       "      <td>324780.833333</td>\n",
       "      <td>214310.533333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.876044e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.8</th>\n",
       "      <td>6.715258e+05</td>\n",
       "      <td>324332.785714</td>\n",
       "      <td>255611.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.846502e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.9</th>\n",
       "      <td>6.426679e+05</td>\n",
       "      <td>327640.933333</td>\n",
       "      <td>203669.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.810973e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15.0</th>\n",
       "      <td>8.724390e+04</td>\n",
       "      <td>321176.666667</td>\n",
       "      <td>272904.523810</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.789263e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327478.333333</td>\n",
       "      <td>268651.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.761587e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321447.928571</td>\n",
       "      <td>212301.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.720254e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>330973.833333</td>\n",
       "      <td>325157.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.691956e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322665.333333</td>\n",
       "      <td>176589.285714</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.677005e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328707.600000</td>\n",
       "      <td>289910.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.618876e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325308.666667</td>\n",
       "      <td>221217.047619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.606583e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>320210.400000</td>\n",
       "      <td>228884.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.555762e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323807.833333</td>\n",
       "      <td>231514.952381</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.544419e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>319556.100000</td>\n",
       "      <td>305144.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.501527e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321032.880952</td>\n",
       "      <td>229080.809524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.472678e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323845.933333</td>\n",
       "      <td>302647.733333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.446184e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322640.476190</td>\n",
       "      <td>254630.047619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.421876e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324938.000000</td>\n",
       "      <td>278296.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.394382e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321967.047619</td>\n",
       "      <td>267354.857143</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.365927e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321404.200000</td>\n",
       "      <td>265515.733333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.342729e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322217.666667</td>\n",
       "      <td>272852.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.321210e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324985.033333</td>\n",
       "      <td>236814.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.285771e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>320855.119048</td>\n",
       "      <td>295433.476190</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.249443e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324005.366667</td>\n",
       "      <td>220569.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.232673e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321081.047619</td>\n",
       "      <td>288594.571429</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.207832e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326212.800000</td>\n",
       "      <td>241581.133333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.168958e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>319870.952381</td>\n",
       "      <td>291436.380952</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.138595e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323161.633333</td>\n",
       "      <td>242312.066667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.123280e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321855.214286</td>\n",
       "      <td>282038.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.081617e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323056.433333</td>\n",
       "      <td>251478.866667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.040549e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321714.261905</td>\n",
       "      <td>281278.285714</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.053183e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325411.766667</td>\n",
       "      <td>254073.400000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.000011e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323277.500000</td>\n",
       "      <td>258077.809524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.978683e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322061.066667</td>\n",
       "      <td>266970.533333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.946287e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323716.952381</td>\n",
       "      <td>256692.428571</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.931040e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321894.333333</td>\n",
       "      <td>260781.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.923096e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324442.357143</td>\n",
       "      <td>240850.380952</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.886538e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321843.500000</td>\n",
       "      <td>269992.866667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.875387e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324826.547619</td>\n",
       "      <td>229779.428571</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.841754e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322093.466667</td>\n",
       "      <td>224567.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.820653e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323287.571429</td>\n",
       "      <td>242799.619048</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.796467e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321923.900000</td>\n",
       "      <td>253375.466667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.761424e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324622.500000</td>\n",
       "      <td>253737.523810</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.753514e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322102.866667</td>\n",
       "      <td>250682.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.699767e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324678.214286</td>\n",
       "      <td>253497.190476</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.701352e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322444.133333</td>\n",
       "      <td>232274.133333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.668860e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324526.690476</td>\n",
       "      <td>245022.047619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.651213e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>319256.533333</td>\n",
       "      <td>227381.066667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.650351e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326566.523810</td>\n",
       "      <td>259115.761905</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.606951e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321322.700000</td>\n",
       "      <td>179045.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.584631e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325843.166667</td>\n",
       "      <td>262213.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.563170e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324540.000000</td>\n",
       "      <td>182032.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.568624e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322253.261905</td>\n",
       "      <td>258978.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.531416e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19.9</th>\n",
       "      <td>5.434707e+05</td>\n",
       "      <td>322834.500000</td>\n",
       "      <td>215686.066667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.520860e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.0</th>\n",
       "      <td>1.067730e+06</td>\n",
       "      <td>322792.309524</td>\n",
       "      <td>252434.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.466149e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.1</th>\n",
       "      <td>8.011424e+05</td>\n",
       "      <td>324123.466667</td>\n",
       "      <td>210456.933333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.449262e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.2</th>\n",
       "      <td>3.777600e+04</td>\n",
       "      <td>323517.357143</td>\n",
       "      <td>251894.619048</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.434849e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322103.333333</td>\n",
       "      <td>220368.866667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.417796e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325131.714286</td>\n",
       "      <td>224555.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.401317e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325141.533333</td>\n",
       "      <td>234929.533333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.361809e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324065.857143</td>\n",
       "      <td>177238.857143</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.365975e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324716.500000</td>\n",
       "      <td>252283.466667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.331616e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323595.571429</td>\n",
       "      <td>202241.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.301184e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325254.100000</td>\n",
       "      <td>233169.266667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.280216e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323282.523810</td>\n",
       "      <td>215406.952381</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.282973e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322255.733333</td>\n",
       "      <td>240356.733333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.252458e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323013.714286</td>\n",
       "      <td>221215.238095</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.225538e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321892.200000</td>\n",
       "      <td>235184.200000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.197200e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324999.309524</td>\n",
       "      <td>204784.190476</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.192175e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323613.633333</td>\n",
       "      <td>210914.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.155487e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324125.857143</td>\n",
       "      <td>216569.761905</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.168659e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324341.600000</td>\n",
       "      <td>224419.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.122869e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324239.571429</td>\n",
       "      <td>201380.809524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.119081e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325851.700000</td>\n",
       "      <td>172854.400000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.095993e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>320843.428571</td>\n",
       "      <td>239397.285714</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.088870e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327415.700000</td>\n",
       "      <td>188083.466667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.072287e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321956.238095</td>\n",
       "      <td>222502.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.047562e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322013.266667</td>\n",
       "      <td>191507.466667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.034973e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326167.333333</td>\n",
       "      <td>237146.809524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.023338e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323387.866667</td>\n",
       "      <td>184014.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.992369e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323939.595238</td>\n",
       "      <td>211481.809524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.980190e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323314.900000</td>\n",
       "      <td>201119.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.975011e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323988.023810</td>\n",
       "      <td>206971.952381</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.961183e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321733.033333</td>\n",
       "      <td>218399.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.942713e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>320744.261905</td>\n",
       "      <td>203293.428571</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.910371e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324950.900000</td>\n",
       "      <td>208901.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.900253e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323183.761905</td>\n",
       "      <td>209817.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.887917e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325427.466667</td>\n",
       "      <td>205225.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.859398e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326174.690476</td>\n",
       "      <td>212467.904762</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.839530e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>320315.000000</td>\n",
       "      <td>172788.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.834071e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324499.714286</td>\n",
       "      <td>198454.809524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.818497e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323059.733333</td>\n",
       "      <td>217080.733333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.808649e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324169.214286</td>\n",
       "      <td>161563.619048</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.785905e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325076.333333</td>\n",
       "      <td>222262.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.768827e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323670.214286</td>\n",
       "      <td>192866.523810</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.749262e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326521.500000</td>\n",
       "      <td>217090.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.724713e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24.2</th>\n",
       "      <td>4.643269e+05</td>\n",
       "      <td>321847.190476</td>\n",
       "      <td>181289.761905</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.713043e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24.3</th>\n",
       "      <td>7.164889e+05</td>\n",
       "      <td>327446.466667</td>\n",
       "      <td>218289.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.686353e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24.4</th>\n",
       "      <td>6.376691e+05</td>\n",
       "      <td>322963.642857</td>\n",
       "      <td>179959.761905</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.688181e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24.5</th>\n",
       "      <td>4.276928e+05</td>\n",
       "      <td>325678.266667</td>\n",
       "      <td>218559.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.670502e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323788.857143</td>\n",
       "      <td>146935.238095</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.654476e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327551.833333</td>\n",
       "      <td>223404.200000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.636358e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322243.690476</td>\n",
       "      <td>184501.571429</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.637230e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327050.533333</td>\n",
       "      <td>220987.933333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.597753e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326075.476190</td>\n",
       "      <td>167664.904762</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.597367e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321990.033333</td>\n",
       "      <td>234949.866667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.588047e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324572.452381</td>\n",
       "      <td>155177.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.579867e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>319557.000000</td>\n",
       "      <td>233687.066667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.561547e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322896.880952</td>\n",
       "      <td>151707.095238</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.549702e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322574.533333</td>\n",
       "      <td>232004.200000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.526671e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324409.666667</td>\n",
       "      <td>152560.095238</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.511998e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322711.100000</td>\n",
       "      <td>230715.133333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.486296e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323332.238095</td>\n",
       "      <td>156297.238095</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.484481e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325424.200000</td>\n",
       "      <td>184516.533333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.466009e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325818.166667</td>\n",
       "      <td>180440.904762</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.453000e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>319549.966667</td>\n",
       "      <td>203259.466667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.451584e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328285.571429</td>\n",
       "      <td>188757.523810</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.443867e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325054.900000</td>\n",
       "      <td>182553.466667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.433967e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325905.428571</td>\n",
       "      <td>183988.952381</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.426567e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324625.400000</td>\n",
       "      <td>191853.266667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.417618e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325676.571429</td>\n",
       "      <td>170989.285714</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.394556e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325908.033333</td>\n",
       "      <td>198028.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.410907e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323634.309524</td>\n",
       "      <td>165059.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.376206e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326646.733333</td>\n",
       "      <td>168828.066667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.382709e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>321229.357143</td>\n",
       "      <td>175151.428571</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.381552e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326519.166667</td>\n",
       "      <td>167243.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.378318e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324387.261905</td>\n",
       "      <td>194118.571429</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.396803e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322984.466667</td>\n",
       "      <td>113962.066667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.365789e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325650.833333</td>\n",
       "      <td>205058.523810</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.401130e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324142.600000</td>\n",
       "      <td>139562.066667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.405598e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326223.380952</td>\n",
       "      <td>200607.857143</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.426046e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323961.966667</td>\n",
       "      <td>139068.533333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.440813e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323604.261905</td>\n",
       "      <td>210497.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.471403e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328228.633333</td>\n",
       "      <td>139478.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.510887e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325669.714286</td>\n",
       "      <td>208886.380952</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.532905e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328491.466667</td>\n",
       "      <td>128600.533333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.537640e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324260.547619</td>\n",
       "      <td>205468.095238</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.552602e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325226.033333</td>\n",
       "      <td>142752.533333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.565380e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323757.571429</td>\n",
       "      <td>186686.380952</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.605979e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324262.333333</td>\n",
       "      <td>164064.866667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.676656e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325470.714286</td>\n",
       "      <td>159294.380952</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.723729e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325796.733333</td>\n",
       "      <td>151901.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.767680e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324936.738095</td>\n",
       "      <td>193626.619048</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.847663e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326153.233333</td>\n",
       "      <td>154386.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.946998e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324421.523810</td>\n",
       "      <td>186948.714286</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.029584e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327471.233333</td>\n",
       "      <td>167094.733333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.161740e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326054.904762</td>\n",
       "      <td>177011.285714</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.247940e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326724.000000</td>\n",
       "      <td>143680.866667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.370058e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325497.190476</td>\n",
       "      <td>174173.190476</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.490400e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326813.133333</td>\n",
       "      <td>160663.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.612244e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325649.333333</td>\n",
       "      <td>182854.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.712084e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326547.866667</td>\n",
       "      <td>145995.066667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.816013e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326907.666667</td>\n",
       "      <td>183928.809524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.925824e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327399.866667</td>\n",
       "      <td>106972.533333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.043936e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327431.261905</td>\n",
       "      <td>203383.476190</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.133665e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327488.833333</td>\n",
       "      <td>96507.266667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.233696e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323370.404762</td>\n",
       "      <td>203229.619048</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.364546e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327798.333333</td>\n",
       "      <td>119881.200000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.472949e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326610.166667</td>\n",
       "      <td>189439.809524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.595952e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323423.866667</td>\n",
       "      <td>133605.066667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.718989e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327017.571429</td>\n",
       "      <td>187924.523810</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.848235e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326738.200000</td>\n",
       "      <td>137899.133333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.961567e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326707.452381</td>\n",
       "      <td>178149.952381</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.011115e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325498.000000</td>\n",
       "      <td>144008.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.026915e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327777.857143</td>\n",
       "      <td>167769.047619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.040725e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324912.866667</td>\n",
       "      <td>156858.266667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.052474e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325686.333333</td>\n",
       "      <td>148928.952381</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.062110e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325688.533333</td>\n",
       "      <td>164510.066667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.083485e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325956.857143</td>\n",
       "      <td>142129.571429</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.093921e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326122.500000</td>\n",
       "      <td>180383.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.104186e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322564.738095</td>\n",
       "      <td>112514.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.113738e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328229.733333</td>\n",
       "      <td>187749.266667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.130088e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>323259.190476</td>\n",
       "      <td>118313.714286</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.135576e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>331223.233333</td>\n",
       "      <td>179913.200000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.143428e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324779.428571</td>\n",
       "      <td>133836.904762</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.149344e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>329723.733333</td>\n",
       "      <td>157283.533333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.156541e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328339.166667</td>\n",
       "      <td>157272.523810</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.164717e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327807.500000</td>\n",
       "      <td>116746.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.166881e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327377.523810</td>\n",
       "      <td>176087.571429</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.174418e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324258.533333</td>\n",
       "      <td>112555.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.178547e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328529.166667</td>\n",
       "      <td>175143.238095</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.183695e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328661.033333</td>\n",
       "      <td>146528.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.186966e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328616.880952</td>\n",
       "      <td>130315.380952</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.184795e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324895.000000</td>\n",
       "      <td>151109.933333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.193470e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328232.833333</td>\n",
       "      <td>144627.285714</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.197072e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326724.366667</td>\n",
       "      <td>156025.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.202268e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328002.833333</td>\n",
       "      <td>149837.809524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.203322e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326274.533333</td>\n",
       "      <td>162458.400000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.207809e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325372.142857</td>\n",
       "      <td>130734.380952</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.211110e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326859.633333</td>\n",
       "      <td>165888.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.211163e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324724.904762</td>\n",
       "      <td>153100.904762</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212759e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>329774.100000</td>\n",
       "      <td>138900.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.218607e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324910.666667</td>\n",
       "      <td>154665.047619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.216814e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327013.266667</td>\n",
       "      <td>159058.066667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.217753e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34.0</th>\n",
       "      <td>7.172168e+05</td>\n",
       "      <td>326487.190476</td>\n",
       "      <td>140570.047619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.220115e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34.1</th>\n",
       "      <td>7.304700e+05</td>\n",
       "      <td>323869.166667</td>\n",
       "      <td>162038.533333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.217344e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34.2</th>\n",
       "      <td>5.695005e+05</td>\n",
       "      <td>326492.357143</td>\n",
       "      <td>145597.904762</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.216973e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324217.400000</td>\n",
       "      <td>165550.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.219773e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325515.976190</td>\n",
       "      <td>122266.904762</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.218252e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324537.466667</td>\n",
       "      <td>138290.400000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.222266e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327959.857143</td>\n",
       "      <td>120204.476190</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.220474e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325380.966667</td>\n",
       "      <td>108075.266667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.220332e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34.8</th>\n",
       "      <td>1.443000e+03</td>\n",
       "      <td>328708.309524</td>\n",
       "      <td>112024.952381</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.220072e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34.9</th>\n",
       "      <td>9.509827e+05</td>\n",
       "      <td>326662.166667</td>\n",
       "      <td>176957.133333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.217064e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35.0</th>\n",
       "      <td>4.489994e+05</td>\n",
       "      <td>327795.952381</td>\n",
       "      <td>129901.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.219565e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328201.866667</td>\n",
       "      <td>181768.533333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.219873e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325231.833333</td>\n",
       "      <td>116335.809524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.218703e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>329013.066667</td>\n",
       "      <td>153655.866667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.220400e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326772.642857</td>\n",
       "      <td>138214.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.218864e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327855.366667</td>\n",
       "      <td>149550.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.218318e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327490.357143</td>\n",
       "      <td>149711.571429</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.219170e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326031.966667</td>\n",
       "      <td>139892.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.218120e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>329673.523810</td>\n",
       "      <td>150574.857143</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.217757e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328268.233333</td>\n",
       "      <td>140118.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.215764e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>329235.404762</td>\n",
       "      <td>122097.809524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.217746e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326237.333333</td>\n",
       "      <td>149881.866667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.215911e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324278.500000</td>\n",
       "      <td>147621.761905</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.216418e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324270.966667</td>\n",
       "      <td>151317.466667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.218439e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326967.738095</td>\n",
       "      <td>145324.476190</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.215856e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325252.266667</td>\n",
       "      <td>147820.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.217214e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328044.571429</td>\n",
       "      <td>138032.904762</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.216368e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328090.433333</td>\n",
       "      <td>143237.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.217306e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325758.880952</td>\n",
       "      <td>133166.904762</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.216992e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>330206.066667</td>\n",
       "      <td>149373.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.215868e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328545.547619</td>\n",
       "      <td>128608.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.216739e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>330826.233333</td>\n",
       "      <td>131532.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.214619e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>329007.404762</td>\n",
       "      <td>135408.047619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.214990e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328081.800000</td>\n",
       "      <td>146891.200000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.216078e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>329012.452381</td>\n",
       "      <td>96653.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.215793e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327859.933333</td>\n",
       "      <td>172782.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.215639e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328559.595238</td>\n",
       "      <td>121758.047619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.216330e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327916.333333</td>\n",
       "      <td>152705.866667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213755e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>331777.761905</td>\n",
       "      <td>135306.619048</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.215141e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>322531.600000</td>\n",
       "      <td>152082.133333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.214257e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>330022.523810</td>\n",
       "      <td>123608.047619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.216640e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324592.033333</td>\n",
       "      <td>92570.266667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.217866e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>330771.619048</td>\n",
       "      <td>143119.380952</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.217750e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325335.166667</td>\n",
       "      <td>125642.733333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213546e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327204.309524</td>\n",
       "      <td>120956.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.214553e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325692.466667</td>\n",
       "      <td>139349.733333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.214488e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327147.095238</td>\n",
       "      <td>138732.428571</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213864e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328923.933333</td>\n",
       "      <td>150200.066667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.214435e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325880.809524</td>\n",
       "      <td>135256.380952</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.214748e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328093.000000</td>\n",
       "      <td>151116.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.214828e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325252.238095</td>\n",
       "      <td>139854.714286</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.215915e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328151.566667</td>\n",
       "      <td>147300.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213877e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327148.809524</td>\n",
       "      <td>135186.190476</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.215266e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>329097.533333</td>\n",
       "      <td>152577.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212111e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325708.857143</td>\n",
       "      <td>131739.380952</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.215803e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328235.100000</td>\n",
       "      <td>157017.200000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.215706e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325596.714286</td>\n",
       "      <td>92219.809524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213325e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>330116.466667</td>\n",
       "      <td>114736.933333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.215797e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328686.309524</td>\n",
       "      <td>122304.285714</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213483e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328558.866667</td>\n",
       "      <td>148809.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213008e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40.0</th>\n",
       "      <td>5.405715e+05</td>\n",
       "      <td>330624.857143</td>\n",
       "      <td>109721.380952</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212684e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40.1</th>\n",
       "      <td>7.110048e+05</td>\n",
       "      <td>327863.933333</td>\n",
       "      <td>165312.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212270e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40.2</th>\n",
       "      <td>6.412429e+05</td>\n",
       "      <td>328519.071429</td>\n",
       "      <td>110604.571429</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.214319e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40.3</th>\n",
       "      <td>5.071163e+05</td>\n",
       "      <td>325244.633333</td>\n",
       "      <td>164394.400000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212921e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326558.214286</td>\n",
       "      <td>73794.761905</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212965e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40.5</th>\n",
       "      <td>4.677370e+05</td>\n",
       "      <td>327024.066667</td>\n",
       "      <td>110009.066667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.210798e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40.6</th>\n",
       "      <td>7.145716e+05</td>\n",
       "      <td>327001.571429</td>\n",
       "      <td>130354.714286</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.211116e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40.7</th>\n",
       "      <td>6.743573e+05</td>\n",
       "      <td>325963.800000</td>\n",
       "      <td>137536.400000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213688e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40.8</th>\n",
       "      <td>2.625244e+05</td>\n",
       "      <td>326937.214286</td>\n",
       "      <td>128318.476190</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213163e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>329531.833333</td>\n",
       "      <td>145989.933333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.209893e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324511.904762</td>\n",
       "      <td>117563.047619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213277e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327507.933333</td>\n",
       "      <td>147096.866667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213257e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324686.142857</td>\n",
       "      <td>99065.190476</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213013e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.3</th>\n",
       "      <td>1.124044e+05</td>\n",
       "      <td>329092.633333</td>\n",
       "      <td>134164.866667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.215050e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.4</th>\n",
       "      <td>6.796385e+05</td>\n",
       "      <td>328736.500000</td>\n",
       "      <td>136270.428571</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212554e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.5</th>\n",
       "      <td>6.744267e+05</td>\n",
       "      <td>328720.200000</td>\n",
       "      <td>116330.266667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212104e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.6</th>\n",
       "      <td>4.794394e+05</td>\n",
       "      <td>328600.880952</td>\n",
       "      <td>142701.428571</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213398e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328282.600000</td>\n",
       "      <td>132979.466667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.211096e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>329174.380952</td>\n",
       "      <td>132659.142857</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.210789e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>329561.500000</td>\n",
       "      <td>122066.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212541e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327221.761905</td>\n",
       "      <td>144031.142857</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.211958e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>330922.166667</td>\n",
       "      <td>123997.400000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.209724e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325012.428571</td>\n",
       "      <td>142840.047619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213768e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>329727.133333</td>\n",
       "      <td>121913.933333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213939e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326210.285714</td>\n",
       "      <td>136774.476190</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.209737e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328478.800000</td>\n",
       "      <td>132079.533333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212943e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324825.880952</td>\n",
       "      <td>129835.047619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212448e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>331504.366667</td>\n",
       "      <td>136393.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.208131e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>325947.404762</td>\n",
       "      <td>134682.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.210034e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>330501.266667</td>\n",
       "      <td>83717.533333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.210685e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.0</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327549.976190</td>\n",
       "      <td>109779.714286</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212170e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.1</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328356.733333</td>\n",
       "      <td>134036.200000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.211952e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.2</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327339.809524</td>\n",
       "      <td>121697.142857</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213430e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.3</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328394.600000</td>\n",
       "      <td>137471.066667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212289e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>324615.833333</td>\n",
       "      <td>108882.142857</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.209725e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328519.700000</td>\n",
       "      <td>126442.400000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.209928e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327697.357143</td>\n",
       "      <td>141506.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.211597e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>330455.700000</td>\n",
       "      <td>129845.466667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.210013e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328086.047619</td>\n",
       "      <td>130187.761905</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.214460e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327858.500000</td>\n",
       "      <td>90870.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212170e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44.0</th>\n",
       "      <td>6.967671e+04</td>\n",
       "      <td>330866.976190</td>\n",
       "      <td>147292.714286</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.211324e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44.1</th>\n",
       "      <td>6.935341e+05</td>\n",
       "      <td>326723.266667</td>\n",
       "      <td>110543.133333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212907e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44.2</th>\n",
       "      <td>6.888303e+05</td>\n",
       "      <td>328687.285714</td>\n",
       "      <td>140501.476190</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212693e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44.3</th>\n",
       "      <td>3.150437e+04</td>\n",
       "      <td>328030.900000</td>\n",
       "      <td>115833.333333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.211751e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44.4</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>329195.095238</td>\n",
       "      <td>144593.238095</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.210639e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44.5</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>327961.466667</td>\n",
       "      <td>107835.533333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.210918e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44.6</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>326430.047619</td>\n",
       "      <td>143568.761905</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.211277e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44.7</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>328530.566667</td>\n",
       "      <td>90287.266667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.210854e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44.8</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>329223.023810</td>\n",
       "      <td>137376.285714</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.212869e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44.9</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>330835.466667</td>\n",
       "      <td>117805.933333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.213576e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "library  g1_v6-ref-ignore-build  livegraph3_ro     llama8-ref    sortledton  \\\n",
       "minute                                                                        \n",
       "0.0                4.225902e+05  336833.222222  293902.666667  3.221436e+06   \n",
       "0.1                1.286985e+06  336981.333333  368307.733333  4.265422e+06   \n",
       "0.2                2.986649e+06  338115.642857  250201.095238  4.138794e+06   \n",
       "0.3                3.463639e+06  337343.266667  418431.666667  4.001570e+06   \n",
       "0.4                3.593066e+06  338868.452381  194937.000000  3.900567e+06   \n",
       "0.5                3.578616e+06  336670.600000  409139.666667  3.831554e+06   \n",
       "0.6                3.562506e+06  337548.738095  253284.952381  3.770234e+06   \n",
       "0.7                3.514801e+06  338375.033333  329291.200000  3.702093e+06   \n",
       "0.8                3.558459e+06  338225.119048  352480.095238  3.649958e+06   \n",
       "0.9                3.589280e+06  337376.800000  200149.000000  3.624642e+06   \n",
       "1.0                3.548972e+06  338798.547619  427809.571429  3.455877e+06   \n",
       "1.1                3.622662e+06  339288.133333   94378.800000  3.551007e+06   \n",
       "1.2                3.556280e+06  338631.571429  420887.761905  3.690896e+06   \n",
       "1.3                3.581867e+06  338410.933333  208430.800000  3.707791e+06   \n",
       "1.4                3.662571e+06  339804.619048  344196.333333  3.709724e+06   \n",
       "1.5                4.150795e+06  339815.600000  381068.733333  3.710459e+06   \n",
       "1.6                3.383415e+06  340147.190476  225270.380952  3.711506e+06   \n",
       "1.7                3.100128e+06  339325.200000  448720.266667  3.710849e+06   \n",
       "1.8                2.380528e+06  338736.071429  192515.619048  3.711779e+06   \n",
       "1.9                1.070713e+06  340618.433333  439823.400000  3.712781e+06   \n",
       "2.0                3.023419e+05  338562.976190  218991.619048  3.705730e+06   \n",
       "2.1                0.000000e+00  338112.066667  409327.466667  3.703152e+06   \n",
       "2.2                0.000000e+00  339677.261905  323435.428571  3.708466e+06   \n",
       "2.3                0.000000e+00  338325.533333  269096.866667  3.710077e+06   \n",
       "2.4                0.000000e+00  338695.904762  432750.238095  3.660155e+06   \n",
       "2.5                0.000000e+00  339383.100000  130245.200000  3.720420e+06   \n",
       "2.6                0.000000e+00  339744.333333  456964.904762  3.697241e+06   \n",
       "2.7                0.000000e+00  338865.100000  178874.533333  3.726909e+06   \n",
       "2.8                0.000000e+00  339074.500000  384809.428571  3.728214e+06   \n",
       "2.9                0.000000e+00  338921.566667  380708.133333  3.729741e+06   \n",
       "3.0                0.000000e+00  340391.380952  258160.904762  3.727367e+06   \n",
       "3.1                0.000000e+00  341340.133333  472584.333333  3.720185e+06   \n",
       "3.2                0.000000e+00  338829.119048  195483.380952  3.727721e+06   \n",
       "3.3                0.000000e+00  338879.000000  473167.600000  3.728953e+06   \n",
       "3.4                0.000000e+00  340997.380952  264758.380952  3.730989e+06   \n",
       "3.5                0.000000e+00  340763.166667  368838.000000  3.733994e+06   \n",
       "3.6                0.000000e+00  340134.261905  400144.476190  3.734670e+06   \n",
       "3.7                0.000000e+00  340727.766667  203778.600000  3.735510e+06   \n",
       "3.8                0.000000e+00  340608.928571  467271.285714  3.735229e+06   \n",
       "3.9                0.000000e+00  339238.466667  194616.866667  3.733752e+06   \n",
       "4.0                0.000000e+00  340195.142857  410981.047619  3.732294e+06   \n",
       "4.1                0.000000e+00  337537.433333  354120.266667  3.731047e+06   \n",
       "4.2                0.000000e+00  339201.619048  260370.857143  3.731305e+06   \n",
       "4.3                0.000000e+00  339791.333333  476283.800000  3.732924e+06   \n",
       "4.4                0.000000e+00  339893.452381  224230.190476  3.733162e+06   \n",
       "4.5                0.000000e+00  339521.800000  486281.466667  3.732201e+06   \n",
       "4.6                0.000000e+00  338614.238095  318675.904762  3.733107e+06   \n",
       "4.7                0.000000e+00  338311.266667  300325.466667  3.733599e+06   \n",
       "4.8                0.000000e+00  339853.571429  442563.857143  3.733203e+06   \n",
       "4.9                0.000000e+00  339646.833333  195602.666667  3.732735e+06   \n",
       "5.0                0.000000e+00  341307.738095  456189.904762  3.732259e+06   \n",
       "5.1                0.000000e+00  338283.600000  309458.666667  3.731330e+06   \n",
       "5.2                0.000000e+00  339546.928571  367332.380952  3.730947e+06   \n",
       "5.3                0.000000e+00  340084.766667  385502.266667  3.733583e+06   \n",
       "5.4                0.000000e+00  339355.547619  261962.761905  3.732837e+06   \n",
       "5.5                0.000000e+00  339162.600000  455295.666667  3.732357e+06   \n",
       "5.6                0.000000e+00  339602.047619  300734.619048  3.733028e+06   \n",
       "5.7                0.000000e+00  340387.666667  328768.200000  3.733310e+06   \n",
       "5.8                0.000000e+00  339097.238095  404680.142857  3.733190e+06   \n",
       "5.9                0.000000e+00  339384.833333  222764.266667  3.733125e+06   \n",
       "6.0                0.000000e+00  339050.452381  381597.380952  3.732213e+06   \n",
       "6.1                0.000000e+00  339711.100000  384179.133333  3.730844e+06   \n",
       "6.2                0.000000e+00  338959.809524  313353.285714  3.731560e+06   \n",
       "6.3                0.000000e+00  337796.566667  410927.533333  3.730702e+06   \n",
       "6.4                0.000000e+00  339982.619048  261924.428571  3.732130e+06   \n",
       "6.5                0.000000e+00  338464.900000  353901.733333  3.731227e+06   \n",
       "6.6                0.000000e+00  340848.119048  351337.047619  3.732301e+06   \n",
       "6.7                0.000000e+00  338437.066667  291010.800000  3.731832e+06   \n",
       "6.8                0.000000e+00  340140.261905  391488.428571  3.731601e+06   \n",
       "6.9                0.000000e+00  340569.100000  290305.133333  3.732497e+06   \n",
       "7.0                0.000000e+00  339886.261905  356702.714286  3.732148e+06   \n",
       "7.1                0.000000e+00  341041.000000  322155.600000  3.731300e+06   \n",
       "7.2                0.000000e+00  338882.571429  258839.761905  3.730748e+06   \n",
       "7.3                0.000000e+00  338986.333333  405372.133333  3.730228e+06   \n",
       "7.4                0.000000e+00  339655.071429  309478.047619  3.731740e+06   \n",
       "7.5                0.000000e+00  337731.366667  232408.533333  3.731262e+06   \n",
       "7.6                0.000000e+00  339545.714286  373582.095238  3.732287e+06   \n",
       "7.7                0.000000e+00  338972.833333  276539.733333  3.732197e+06   \n",
       "7.8                0.000000e+00  340221.880952  335300.142857  3.731210e+06   \n",
       "7.9                0.000000e+00  336449.566667  372586.133333  3.730313e+06   \n",
       "8.0                4.065835e+05  340098.619048  283560.000000  3.729129e+06   \n",
       "8.1                7.608308e+05  337459.833333  374237.933333  3.726348e+06   \n",
       "8.2                4.371446e+05  339573.404762  286713.000000  3.727224e+06   \n",
       "8.3                0.000000e+00  339634.900000  259680.466667  3.726629e+06   \n",
       "8.4                4.462973e+05  339501.333333  317505.000000  3.727293e+06   \n",
       "8.5                6.864978e+05  338987.300000  316060.666667  3.726681e+06   \n",
       "8.6                2.071064e+05  339479.357143  251737.571429  3.726267e+06   \n",
       "8.7                0.000000e+00  340623.933333  351901.000000  3.725757e+06   \n",
       "8.8                0.000000e+00  339592.071429  314210.857143  3.725776e+06   \n",
       "8.9                0.000000e+00  338453.133333  266837.333333  3.726929e+06   \n",
       "9.0                0.000000e+00  339485.523810  330978.904762  3.726994e+06   \n",
       "9.1                0.000000e+00  340660.966667  228311.533333  3.726296e+06   \n",
       "9.2                0.000000e+00  339123.952381  351388.428571  3.727913e+06   \n",
       "9.3                0.000000e+00  339472.400000  255469.733333  3.728430e+06   \n",
       "9.4                0.000000e+00  339578.452381  304624.619048  3.728500e+06   \n",
       "9.5                0.000000e+00  340039.433333  305762.400000  3.729300e+06   \n",
       "9.6                0.000000e+00  340493.404762  260458.619048  3.729566e+06   \n",
       "9.7                0.000000e+00  338734.533333  347776.466667  3.727360e+06   \n",
       "9.8                0.000000e+00  339564.904762  256119.190476  3.728382e+06   \n",
       "9.9                0.000000e+00  337079.800000  292483.133333  3.726818e+06   \n",
       "10.0               0.000000e+00  338901.904762  265754.904762  3.727205e+06   \n",
       "10.1               0.000000e+00  340043.866667  312274.066667  3.725742e+06   \n",
       "10.2               0.000000e+00  338793.166667  308988.333333  3.727622e+06   \n",
       "10.3               0.000000e+00  339378.666667  240534.866667  3.730549e+06   \n",
       "10.4               0.000000e+00  338696.190476  338823.047619  3.732066e+06   \n",
       "10.5               0.000000e+00  337456.500000  189775.933333  3.732298e+06   \n",
       "10.6               0.000000e+00  339681.904762  305867.333333  3.736016e+06   \n",
       "10.7               0.000000e+00  341189.533333  299445.200000  3.737443e+06   \n",
       "10.8               0.000000e+00  339735.880952  258432.571429  3.739668e+06   \n",
       "10.9               0.000000e+00  338839.333333  359885.066667  3.742993e+06   \n",
       "11.0               0.000000e+00  338977.690476  239117.714286  3.748029e+06   \n",
       "11.1               0.000000e+00  339594.000000  269640.666667  3.739895e+06   \n",
       "11.2               0.000000e+00  338625.761905  220881.666667  3.496296e+06   \n",
       "11.3               0.000000e+00  339410.600000  323913.266667  3.178192e+06   \n",
       "11.4               0.000000e+00  337913.952381  278046.666667  2.865682e+06   \n",
       "11.5               0.000000e+00  338704.200000  216076.133333  2.717425e+06   \n",
       "11.6               0.000000e+00  339576.595238  266071.476190  3.570325e+06   \n",
       "11.7               0.000000e+00  338332.933333  276138.333333  3.559053e+06   \n",
       "11.8               0.000000e+00  338078.833333  252229.285714  3.553834e+06   \n",
       "11.9               0.000000e+00  339362.500000  314636.333333  3.404897e+06   \n",
       "12.5               0.000000e+00  339096.066667  212542.000000           NaN   \n",
       "12.6               0.000000e+00  338082.761905  304039.714286           NaN   \n",
       "12.7               0.000000e+00  337157.233333  280899.266667           NaN   \n",
       "12.8               0.000000e+00  333164.571429  281264.904762           NaN   \n",
       "12.9               0.000000e+00  328108.600000  274271.666667           NaN   \n",
       "13.0               0.000000e+00  328905.309524  207293.333333           NaN   \n",
       "13.1               0.000000e+00  329699.900000  267683.133333           NaN   \n",
       "13.2               1.308109e+05  326801.690476  297576.190476           NaN   \n",
       "13.3               6.704561e+05  328641.900000  247514.466667           NaN   \n",
       "13.4               6.553555e+05  325764.666667  207457.238095           NaN   \n",
       "13.5               1.928064e+05  327375.133333  288462.333333           NaN   \n",
       "13.6               0.000000e+00  328824.166667  276779.809524           NaN   \n",
       "13.7               0.000000e+00  324374.800000  295136.866667           NaN   \n",
       "13.8               0.000000e+00  327617.952381  280358.095238           NaN   \n",
       "13.9               0.000000e+00  321061.533333  239380.400000           NaN   \n",
       "14.0               0.000000e+00  326638.690476  302791.619048           NaN   \n",
       "14.1               0.000000e+00  320966.633333  180288.066667           NaN   \n",
       "14.2               0.000000e+00  326170.952381  246213.380952           NaN   \n",
       "14.3               0.000000e+00  322690.800000  193509.000000           NaN   \n",
       "14.4               0.000000e+00  325426.095238  242528.666667           NaN   \n",
       "14.5               0.000000e+00  324039.600000  236658.800000           NaN   \n",
       "14.6               0.000000e+00  324539.952381  273935.095238           NaN   \n",
       "14.7               3.594385e+05  324780.833333  214310.533333           NaN   \n",
       "14.8               6.715258e+05  324332.785714  255611.333333           NaN   \n",
       "14.9               6.426679e+05  327640.933333  203669.333333           NaN   \n",
       "15.0               8.724390e+04  321176.666667  272904.523810           NaN   \n",
       "15.1               0.000000e+00  327478.333333  268651.666667           NaN   \n",
       "15.2               0.000000e+00  321447.928571  212301.666667           NaN   \n",
       "15.3               0.000000e+00  330973.833333  325157.000000           NaN   \n",
       "15.4               0.000000e+00  322665.333333  176589.285714           NaN   \n",
       "15.5               0.000000e+00  328707.600000  289910.000000           NaN   \n",
       "15.6               0.000000e+00  325308.666667  221217.047619           NaN   \n",
       "15.7               0.000000e+00  320210.400000  228884.800000           NaN   \n",
       "15.8               0.000000e+00  323807.833333  231514.952381           NaN   \n",
       "15.9               0.000000e+00  319556.100000  305144.000000           NaN   \n",
       "16.0               0.000000e+00  321032.880952  229080.809524           NaN   \n",
       "16.1               0.000000e+00  323845.933333  302647.733333           NaN   \n",
       "16.2               0.000000e+00  322640.476190  254630.047619           NaN   \n",
       "16.3               0.000000e+00  324938.000000  278296.666667           NaN   \n",
       "16.4               0.000000e+00  321967.047619  267354.857143           NaN   \n",
       "16.5               0.000000e+00  321404.200000  265515.733333           NaN   \n",
       "16.6               0.000000e+00  322217.666667  272852.333333           NaN   \n",
       "16.7               0.000000e+00  324985.033333  236814.000000           NaN   \n",
       "16.8               0.000000e+00  320855.119048  295433.476190           NaN   \n",
       "16.9               0.000000e+00  324005.366667  220569.600000           NaN   \n",
       "17.0               0.000000e+00  321081.047619  288594.571429           NaN   \n",
       "17.1               0.000000e+00  326212.800000  241581.133333           NaN   \n",
       "17.2               0.000000e+00  319870.952381  291436.380952           NaN   \n",
       "17.3               0.000000e+00  323161.633333  242312.066667           NaN   \n",
       "17.4               0.000000e+00  321855.214286  282038.333333           NaN   \n",
       "17.5               0.000000e+00  323056.433333  251478.866667           NaN   \n",
       "17.6               0.000000e+00  321714.261905  281278.285714           NaN   \n",
       "17.7               0.000000e+00  325411.766667  254073.400000           NaN   \n",
       "17.8               0.000000e+00  323277.500000  258077.809524           NaN   \n",
       "17.9               0.000000e+00  322061.066667  266970.533333           NaN   \n",
       "18.0               0.000000e+00  323716.952381  256692.428571           NaN   \n",
       "18.1               0.000000e+00  321894.333333  260781.666667           NaN   \n",
       "18.2               0.000000e+00  324442.357143  240850.380952           NaN   \n",
       "18.3               0.000000e+00  321843.500000  269992.866667           NaN   \n",
       "18.4               0.000000e+00  324826.547619  229779.428571           NaN   \n",
       "18.5               0.000000e+00  322093.466667  224567.800000           NaN   \n",
       "18.6               0.000000e+00  323287.571429  242799.619048           NaN   \n",
       "18.7               0.000000e+00  321923.900000  253375.466667           NaN   \n",
       "18.8               0.000000e+00  324622.500000  253737.523810           NaN   \n",
       "18.9               0.000000e+00  322102.866667  250682.800000           NaN   \n",
       "19.0               0.000000e+00  324678.214286  253497.190476           NaN   \n",
       "19.1               0.000000e+00  322444.133333  232274.133333           NaN   \n",
       "19.2               0.000000e+00  324526.690476  245022.047619           NaN   \n",
       "19.3               0.000000e+00  319256.533333  227381.066667           NaN   \n",
       "19.4               0.000000e+00  326566.523810  259115.761905           NaN   \n",
       "19.5               0.000000e+00  321322.700000  179045.600000           NaN   \n",
       "19.6               0.000000e+00  325843.166667  262213.333333           NaN   \n",
       "19.7               0.000000e+00  324540.000000  182032.000000           NaN   \n",
       "19.8               0.000000e+00  322253.261905  258978.666667           NaN   \n",
       "19.9               5.434707e+05  322834.500000  215686.066667           NaN   \n",
       "20.0               1.067730e+06  322792.309524  252434.666667           NaN   \n",
       "20.1               8.011424e+05  324123.466667  210456.933333           NaN   \n",
       "20.2               3.777600e+04  323517.357143  251894.619048           NaN   \n",
       "20.3               0.000000e+00  322103.333333  220368.866667           NaN   \n",
       "20.4               0.000000e+00  325131.714286  224555.333333           NaN   \n",
       "20.5               0.000000e+00  325141.533333  234929.533333           NaN   \n",
       "20.6               0.000000e+00  324065.857143  177238.857143           NaN   \n",
       "20.7               0.000000e+00  324716.500000  252283.466667           NaN   \n",
       "20.8               0.000000e+00  323595.571429  202241.000000           NaN   \n",
       "20.9               0.000000e+00  325254.100000  233169.266667           NaN   \n",
       "21.0               0.000000e+00  323282.523810  215406.952381           NaN   \n",
       "21.1               0.000000e+00  322255.733333  240356.733333           NaN   \n",
       "21.2               0.000000e+00  323013.714286  221215.238095           NaN   \n",
       "21.3               0.000000e+00  321892.200000  235184.200000           NaN   \n",
       "21.4               0.000000e+00  324999.309524  204784.190476           NaN   \n",
       "21.5               0.000000e+00  323613.633333  210914.000000           NaN   \n",
       "21.6               0.000000e+00  324125.857143  216569.761905           NaN   \n",
       "21.7               0.000000e+00  324341.600000  224419.000000           NaN   \n",
       "21.8               0.000000e+00  324239.571429  201380.809524           NaN   \n",
       "21.9               0.000000e+00  325851.700000  172854.400000           NaN   \n",
       "22.0               0.000000e+00  320843.428571  239397.285714           NaN   \n",
       "22.1               0.000000e+00  327415.700000  188083.466667           NaN   \n",
       "22.2               0.000000e+00  321956.238095  222502.000000           NaN   \n",
       "22.3               0.000000e+00  322013.266667  191507.466667           NaN   \n",
       "22.4               0.000000e+00  326167.333333  237146.809524           NaN   \n",
       "22.5               0.000000e+00  323387.866667  184014.600000           NaN   \n",
       "22.6               0.000000e+00  323939.595238  211481.809524           NaN   \n",
       "22.7               0.000000e+00  323314.900000  201119.600000           NaN   \n",
       "22.8               0.000000e+00  323988.023810  206971.952381           NaN   \n",
       "22.9               0.000000e+00  321733.033333  218399.000000           NaN   \n",
       "23.0               0.000000e+00  320744.261905  203293.428571           NaN   \n",
       "23.1               0.000000e+00  324950.900000  208901.800000           NaN   \n",
       "23.2               0.000000e+00  323183.761905  209817.000000           NaN   \n",
       "23.3               0.000000e+00  325427.466667  205225.800000           NaN   \n",
       "23.4               0.000000e+00  326174.690476  212467.904762           NaN   \n",
       "23.5               0.000000e+00  320315.000000  172788.000000           NaN   \n",
       "23.6               0.000000e+00  324499.714286  198454.809524           NaN   \n",
       "23.7               0.000000e+00  323059.733333  217080.733333           NaN   \n",
       "23.8               0.000000e+00  324169.214286  161563.619048           NaN   \n",
       "23.9               0.000000e+00  325076.333333  222262.000000           NaN   \n",
       "24.0               0.000000e+00  323670.214286  192866.523810           NaN   \n",
       "24.1               0.000000e+00  326521.500000  217090.600000           NaN   \n",
       "24.2               4.643269e+05  321847.190476  181289.761905           NaN   \n",
       "24.3               7.164889e+05  327446.466667  218289.666667           NaN   \n",
       "24.4               6.376691e+05  322963.642857  179959.761905           NaN   \n",
       "24.5               4.276928e+05  325678.266667  218559.666667           NaN   \n",
       "24.6               0.000000e+00  323788.857143  146935.238095           NaN   \n",
       "24.7               0.000000e+00  327551.833333  223404.200000           NaN   \n",
       "24.8               0.000000e+00  322243.690476  184501.571429           NaN   \n",
       "24.9               0.000000e+00  327050.533333  220987.933333           NaN   \n",
       "25.0               0.000000e+00  326075.476190  167664.904762           NaN   \n",
       "25.1               0.000000e+00  321990.033333  234949.866667           NaN   \n",
       "25.2               0.000000e+00  324572.452381  155177.333333           NaN   \n",
       "25.3               0.000000e+00  319557.000000  233687.066667           NaN   \n",
       "25.4               0.000000e+00  322896.880952  151707.095238           NaN   \n",
       "25.5               0.000000e+00  322574.533333  232004.200000           NaN   \n",
       "25.6               0.000000e+00  324409.666667  152560.095238           NaN   \n",
       "25.7               0.000000e+00  322711.100000  230715.133333           NaN   \n",
       "25.8               0.000000e+00  323332.238095  156297.238095           NaN   \n",
       "25.9               0.000000e+00  325424.200000  184516.533333           NaN   \n",
       "26.0               0.000000e+00  325818.166667  180440.904762           NaN   \n",
       "26.1               0.000000e+00  319549.966667  203259.466667           NaN   \n",
       "26.2               0.000000e+00  328285.571429  188757.523810           NaN   \n",
       "26.3               0.000000e+00  325054.900000  182553.466667           NaN   \n",
       "26.4               0.000000e+00  325905.428571  183988.952381           NaN   \n",
       "26.5               0.000000e+00  324625.400000  191853.266667           NaN   \n",
       "26.6               0.000000e+00  325676.571429  170989.285714           NaN   \n",
       "26.7               0.000000e+00  325908.033333  198028.333333           NaN   \n",
       "26.8               0.000000e+00  323634.309524  165059.333333           NaN   \n",
       "26.9               0.000000e+00  326646.733333  168828.066667           NaN   \n",
       "27.0               0.000000e+00  321229.357143  175151.428571           NaN   \n",
       "27.1               0.000000e+00  326519.166667  167243.000000           NaN   \n",
       "27.2               0.000000e+00  324387.261905  194118.571429           NaN   \n",
       "27.3               0.000000e+00  322984.466667  113962.066667           NaN   \n",
       "27.4               0.000000e+00  325650.833333  205058.523810           NaN   \n",
       "27.5               0.000000e+00  324142.600000  139562.066667           NaN   \n",
       "27.6               0.000000e+00  326223.380952  200607.857143           NaN   \n",
       "27.7               0.000000e+00  323961.966667  139068.533333           NaN   \n",
       "27.8               0.000000e+00  323604.261905  210497.666667           NaN   \n",
       "27.9               0.000000e+00  328228.633333  139478.666667           NaN   \n",
       "28.0               0.000000e+00  325669.714286  208886.380952           NaN   \n",
       "28.1               0.000000e+00  328491.466667  128600.533333           NaN   \n",
       "28.2               0.000000e+00  324260.547619  205468.095238           NaN   \n",
       "28.3               0.000000e+00  325226.033333  142752.533333           NaN   \n",
       "28.4               0.000000e+00  323757.571429  186686.380952           NaN   \n",
       "28.5               0.000000e+00  324262.333333  164064.866667           NaN   \n",
       "28.6               0.000000e+00  325470.714286  159294.380952           NaN   \n",
       "28.7               0.000000e+00  325796.733333  151901.333333           NaN   \n",
       "28.8               0.000000e+00  324936.738095  193626.619048           NaN   \n",
       "28.9               0.000000e+00  326153.233333  154386.000000           NaN   \n",
       "29.0               0.000000e+00  324421.523810  186948.714286           NaN   \n",
       "29.1               0.000000e+00  327471.233333  167094.733333           NaN   \n",
       "29.2               0.000000e+00  326054.904762  177011.285714           NaN   \n",
       "29.3               0.000000e+00  326724.000000  143680.866667           NaN   \n",
       "29.4               0.000000e+00  325497.190476  174173.190476           NaN   \n",
       "29.5               0.000000e+00  326813.133333  160663.800000           NaN   \n",
       "29.6               0.000000e+00  325649.333333  182854.333333           NaN   \n",
       "29.7               0.000000e+00  326547.866667  145995.066667           NaN   \n",
       "29.8               0.000000e+00  326907.666667  183928.809524           NaN   \n",
       "29.9               0.000000e+00  327399.866667  106972.533333           NaN   \n",
       "30.0               0.000000e+00  327431.261905  203383.476190           NaN   \n",
       "30.1               0.000000e+00  327488.833333   96507.266667           NaN   \n",
       "30.2               0.000000e+00  323370.404762  203229.619048           NaN   \n",
       "30.3               0.000000e+00  327798.333333  119881.200000           NaN   \n",
       "30.4               0.000000e+00  326610.166667  189439.809524           NaN   \n",
       "30.5               0.000000e+00  323423.866667  133605.066667           NaN   \n",
       "30.6               0.000000e+00  327017.571429  187924.523810           NaN   \n",
       "30.7               0.000000e+00  326738.200000  137899.133333           NaN   \n",
       "30.8               0.000000e+00  326707.452381  178149.952381           NaN   \n",
       "30.9               0.000000e+00  325498.000000  144008.666667           NaN   \n",
       "31.0               0.000000e+00  327777.857143  167769.047619           NaN   \n",
       "31.1               0.000000e+00  324912.866667  156858.266667           NaN   \n",
       "31.2               0.000000e+00  325686.333333  148928.952381           NaN   \n",
       "31.3               0.000000e+00  325688.533333  164510.066667           NaN   \n",
       "31.4               0.000000e+00  325956.857143  142129.571429           NaN   \n",
       "31.5               0.000000e+00  326122.500000  180383.600000           NaN   \n",
       "31.6               0.000000e+00  322564.738095  112514.333333           NaN   \n",
       "31.7               0.000000e+00  328229.733333  187749.266667           NaN   \n",
       "31.8               0.000000e+00  323259.190476  118313.714286           NaN   \n",
       "31.9               0.000000e+00  331223.233333  179913.200000           NaN   \n",
       "32.0               0.000000e+00  324779.428571  133836.904762           NaN   \n",
       "32.1               0.000000e+00  329723.733333  157283.533333           NaN   \n",
       "32.2               0.000000e+00  328339.166667  157272.523810           NaN   \n",
       "32.3               0.000000e+00  327807.500000  116746.000000           NaN   \n",
       "32.4               0.000000e+00  327377.523810  176087.571429           NaN   \n",
       "32.5               0.000000e+00  324258.533333  112555.000000           NaN   \n",
       "32.6               0.000000e+00  328529.166667  175143.238095           NaN   \n",
       "32.7               0.000000e+00  328661.033333  146528.000000           NaN   \n",
       "32.8               0.000000e+00  328616.880952  130315.380952           NaN   \n",
       "32.9               0.000000e+00  324895.000000  151109.933333           NaN   \n",
       "33.0               0.000000e+00  328232.833333  144627.285714           NaN   \n",
       "33.1               0.000000e+00  326724.366667  156025.666667           NaN   \n",
       "33.2               0.000000e+00  328002.833333  149837.809524           NaN   \n",
       "33.3               0.000000e+00  326274.533333  162458.400000           NaN   \n",
       "33.4               0.000000e+00  325372.142857  130734.380952           NaN   \n",
       "33.5               0.000000e+00  326859.633333  165888.000000           NaN   \n",
       "33.6               0.000000e+00  324724.904762  153100.904762           NaN   \n",
       "33.7               0.000000e+00  329774.100000  138900.000000           NaN   \n",
       "33.8               0.000000e+00  324910.666667  154665.047619           NaN   \n",
       "33.9               0.000000e+00  327013.266667  159058.066667           NaN   \n",
       "34.0               7.172168e+05  326487.190476  140570.047619           NaN   \n",
       "34.1               7.304700e+05  323869.166667  162038.533333           NaN   \n",
       "34.2               5.695005e+05  326492.357143  145597.904762           NaN   \n",
       "34.3               0.000000e+00  324217.400000  165550.800000           NaN   \n",
       "34.4               0.000000e+00  325515.976190  122266.904762           NaN   \n",
       "34.5               0.000000e+00  324537.466667  138290.400000           NaN   \n",
       "34.6               0.000000e+00  327959.857143  120204.476190           NaN   \n",
       "34.7               0.000000e+00  325380.966667  108075.266667           NaN   \n",
       "34.8               1.443000e+03  328708.309524  112024.952381           NaN   \n",
       "34.9               9.509827e+05  326662.166667  176957.133333           NaN   \n",
       "35.0               4.489994e+05  327795.952381  129901.000000           NaN   \n",
       "35.1               0.000000e+00  328201.866667  181768.533333           NaN   \n",
       "35.2               0.000000e+00  325231.833333  116335.809524           NaN   \n",
       "35.3               0.000000e+00  329013.066667  153655.866667           NaN   \n",
       "35.4               0.000000e+00  326772.642857  138214.666667           NaN   \n",
       "35.5               0.000000e+00  327855.366667  149550.666667           NaN   \n",
       "35.6               0.000000e+00  327490.357143  149711.571429           NaN   \n",
       "35.7               0.000000e+00  326031.966667  139892.600000           NaN   \n",
       "35.8               0.000000e+00  329673.523810  150574.857143           NaN   \n",
       "35.9               0.000000e+00  328268.233333  140118.800000           NaN   \n",
       "36.0               0.000000e+00  329235.404762  122097.809524           NaN   \n",
       "36.1               0.000000e+00  326237.333333  149881.866667           NaN   \n",
       "36.2               0.000000e+00  324278.500000  147621.761905           NaN   \n",
       "36.3               0.000000e+00  324270.966667  151317.466667           NaN   \n",
       "36.4               0.000000e+00  326967.738095  145324.476190           NaN   \n",
       "36.5               0.000000e+00  325252.266667  147820.666667           NaN   \n",
       "36.6               0.000000e+00  328044.571429  138032.904762           NaN   \n",
       "36.7               0.000000e+00  328090.433333  143237.333333           NaN   \n",
       "36.8               0.000000e+00  325758.880952  133166.904762           NaN   \n",
       "36.9               0.000000e+00  330206.066667  149373.600000           NaN   \n",
       "37.0               0.000000e+00  328545.547619  128608.333333           NaN   \n",
       "37.1               0.000000e+00  330826.233333  131532.600000           NaN   \n",
       "37.2               0.000000e+00  329007.404762  135408.047619           NaN   \n",
       "37.3               0.000000e+00  328081.800000  146891.200000           NaN   \n",
       "37.4               0.000000e+00  329012.452381   96653.333333           NaN   \n",
       "37.5               0.000000e+00  327859.933333  172782.600000           NaN   \n",
       "37.6               0.000000e+00  328559.595238  121758.047619           NaN   \n",
       "37.7               0.000000e+00  327916.333333  152705.866667           NaN   \n",
       "37.8               0.000000e+00  331777.761905  135306.619048           NaN   \n",
       "37.9               0.000000e+00  322531.600000  152082.133333           NaN   \n",
       "38.0               0.000000e+00  330022.523810  123608.047619           NaN   \n",
       "38.1               0.000000e+00  324592.033333   92570.266667           NaN   \n",
       "38.2               0.000000e+00  330771.619048  143119.380952           NaN   \n",
       "38.3               0.000000e+00  325335.166667  125642.733333           NaN   \n",
       "38.4               0.000000e+00  327204.309524  120956.333333           NaN   \n",
       "38.5               0.000000e+00  325692.466667  139349.733333           NaN   \n",
       "38.6               0.000000e+00  327147.095238  138732.428571           NaN   \n",
       "38.7               0.000000e+00  328923.933333  150200.066667           NaN   \n",
       "38.8               0.000000e+00  325880.809524  135256.380952           NaN   \n",
       "38.9               0.000000e+00  328093.000000  151116.800000           NaN   \n",
       "39.0               0.000000e+00  325252.238095  139854.714286           NaN   \n",
       "39.1               0.000000e+00  328151.566667  147300.000000           NaN   \n",
       "39.2               0.000000e+00  327148.809524  135186.190476           NaN   \n",
       "39.3               0.000000e+00  329097.533333  152577.600000           NaN   \n",
       "39.4               0.000000e+00  325708.857143  131739.380952           NaN   \n",
       "39.5               0.000000e+00  328235.100000  157017.200000           NaN   \n",
       "39.6               0.000000e+00  325596.714286   92219.809524           NaN   \n",
       "39.7               0.000000e+00  330116.466667  114736.933333           NaN   \n",
       "39.8               0.000000e+00  328686.309524  122304.285714           NaN   \n",
       "39.9               0.000000e+00  328558.866667  148809.666667           NaN   \n",
       "40.0               5.405715e+05  330624.857143  109721.380952           NaN   \n",
       "40.1               7.110048e+05  327863.933333  165312.800000           NaN   \n",
       "40.2               6.412429e+05  328519.071429  110604.571429           NaN   \n",
       "40.3               5.071163e+05  325244.633333  164394.400000           NaN   \n",
       "40.4               0.000000e+00  326558.214286   73794.761905           NaN   \n",
       "40.5               4.677370e+05  327024.066667  110009.066667           NaN   \n",
       "40.6               7.145716e+05  327001.571429  130354.714286           NaN   \n",
       "40.7               6.743573e+05  325963.800000  137536.400000           NaN   \n",
       "40.8               2.625244e+05  326937.214286  128318.476190           NaN   \n",
       "40.9               0.000000e+00  329531.833333  145989.933333           NaN   \n",
       "41.0               0.000000e+00  324511.904762  117563.047619           NaN   \n",
       "41.1               0.000000e+00  327507.933333  147096.866667           NaN   \n",
       "41.2               0.000000e+00  324686.142857   99065.190476           NaN   \n",
       "41.3               1.124044e+05  329092.633333  134164.866667           NaN   \n",
       "41.4               6.796385e+05  328736.500000  136270.428571           NaN   \n",
       "41.5               6.744267e+05  328720.200000  116330.266667           NaN   \n",
       "41.6               4.794394e+05  328600.880952  142701.428571           NaN   \n",
       "41.7               0.000000e+00  328282.600000  132979.466667           NaN   \n",
       "41.8               0.000000e+00  329174.380952  132659.142857           NaN   \n",
       "41.9               0.000000e+00  329561.500000  122066.666667           NaN   \n",
       "42.0               0.000000e+00  327221.761905  144031.142857           NaN   \n",
       "42.1               0.000000e+00  330922.166667  123997.400000           NaN   \n",
       "42.2               0.000000e+00  325012.428571  142840.047619           NaN   \n",
       "42.3               0.000000e+00  329727.133333  121913.933333           NaN   \n",
       "42.4               0.000000e+00  326210.285714  136774.476190           NaN   \n",
       "42.5               0.000000e+00  328478.800000  132079.533333           NaN   \n",
       "42.6               0.000000e+00  324825.880952  129835.047619           NaN   \n",
       "42.7               0.000000e+00  331504.366667  136393.333333           NaN   \n",
       "42.8               0.000000e+00  325947.404762  134682.333333           NaN   \n",
       "42.9               0.000000e+00  330501.266667   83717.533333           NaN   \n",
       "43.0               0.000000e+00  327549.976190  109779.714286           NaN   \n",
       "43.1               0.000000e+00  328356.733333  134036.200000           NaN   \n",
       "43.2               0.000000e+00  327339.809524  121697.142857           NaN   \n",
       "43.3               0.000000e+00  328394.600000  137471.066667           NaN   \n",
       "43.4               0.000000e+00  324615.833333  108882.142857           NaN   \n",
       "43.5               0.000000e+00  328519.700000  126442.400000           NaN   \n",
       "43.6               0.000000e+00  327697.357143  141506.333333           NaN   \n",
       "43.7               0.000000e+00  330455.700000  129845.466667           NaN   \n",
       "43.8               0.000000e+00  328086.047619  130187.761905           NaN   \n",
       "43.9               0.000000e+00  327858.500000   90870.600000           NaN   \n",
       "44.0               6.967671e+04  330866.976190  147292.714286           NaN   \n",
       "44.1               6.935341e+05  326723.266667  110543.133333           NaN   \n",
       "44.2               6.888303e+05  328687.285714  140501.476190           NaN   \n",
       "44.3               3.150437e+04  328030.900000  115833.333333           NaN   \n",
       "44.4               0.000000e+00  329195.095238  144593.238095           NaN   \n",
       "44.5               0.000000e+00  327961.466667  107835.533333           NaN   \n",
       "44.6               0.000000e+00  326430.047619  143568.761905           NaN   \n",
       "44.7               0.000000e+00  328530.566667   90287.266667           NaN   \n",
       "44.8               0.000000e+00  329223.023810  137376.285714           NaN   \n",
       "44.9               0.000000e+00  330835.466667  117805.933333           NaN   \n",
       "\n",
       "library  stinger7-ref  teseo-lcc.12  \n",
       "minute                               \n",
       "0.0      2.485171e+06  5.820855e+05  \n",
       "0.1      2.107115e+06  1.873297e+06  \n",
       "0.2      1.168530e+06  2.588274e+06  \n",
       "0.3      8.773690e+05  2.543459e+06  \n",
       "0.4      7.315835e+05  2.855839e+06  \n",
       "0.5      6.357481e+05  3.048196e+06  \n",
       "0.6      5.675953e+05  3.352881e+06  \n",
       "0.7      5.171115e+05  3.554411e+06  \n",
       "0.8      4.788555e+05  3.740470e+06  \n",
       "0.9      4.473226e+05  3.336286e+06  \n",
       "1.0      4.198183e+05  3.620645e+06  \n",
       "1.1      3.962000e+05  3.654226e+06  \n",
       "1.2      3.771695e+05  3.831425e+06  \n",
       "1.3      3.611358e+05  3.798944e+06  \n",
       "1.4      3.468691e+05  4.163428e+06  \n",
       "1.5      3.333587e+05  4.280279e+06  \n",
       "1.6      3.219622e+05  4.184198e+06  \n",
       "1.7      3.113091e+05  4.215696e+06  \n",
       "1.8      3.013645e+05  4.042667e+06  \n",
       "1.9      2.923001e+05  4.161165e+06  \n",
       "2.0      2.842874e+05  4.135818e+06  \n",
       "2.1      2.773824e+05  4.114034e+06  \n",
       "2.2      2.701332e+05  4.153319e+06  \n",
       "2.3      2.629170e+05  4.059914e+06  \n",
       "2.4      2.572965e+05  4.152133e+06  \n",
       "2.5      2.517271e+05  4.053023e+06  \n",
       "2.6      2.464846e+05  4.116056e+06  \n",
       "2.7      2.411546e+05  4.045054e+06  \n",
       "2.8      2.364428e+05  4.140507e+06  \n",
       "2.9      2.318378e+05  4.103483e+06  \n",
       "3.0      2.278017e+05  4.141832e+06  \n",
       "3.1      2.240564e+05  4.095634e+06  \n",
       "3.2      2.203231e+05  4.110430e+06  \n",
       "3.3      2.165586e+05  4.114938e+06  \n",
       "3.4      2.128856e+05  4.117935e+06  \n",
       "3.5      2.093117e+05  4.141988e+06  \n",
       "3.6      2.067957e+05  4.082679e+06  \n",
       "3.7      2.034114e+05  4.107708e+06  \n",
       "3.8      2.003181e+05  4.063730e+06  \n",
       "3.9      1.980853e+05  4.119690e+06  \n",
       "4.0      1.951577e+05  4.094392e+06  \n",
       "4.1      1.922789e+05  4.124773e+06  \n",
       "4.2      1.897778e+05  4.096776e+06  \n",
       "4.3      1.874405e+05  4.105330e+06  \n",
       "4.4      1.851273e+05  4.106781e+06  \n",
       "4.5      1.829397e+05  4.098036e+06  \n",
       "4.6      1.809378e+05  4.118483e+06  \n",
       "4.7      1.784806e+05  4.066329e+06  \n",
       "4.8      1.766597e+05  4.102036e+06  \n",
       "4.9      1.744706e+05  4.063694e+06  \n",
       "5.0      1.727887e+05  4.092111e+06  \n",
       "5.1      1.708995e+05  4.091862e+06  \n",
       "5.2      1.691784e+05  4.097108e+06  \n",
       "5.3      1.673698e+05  4.108798e+06  \n",
       "5.4      1.658158e+05  4.084744e+06  \n",
       "5.5      1.640179e+05  4.122089e+06  \n",
       "5.6      1.627073e+05  4.082041e+06  \n",
       "5.7      1.611956e+05  4.118297e+06  \n",
       "5.8      1.596378e+05  4.063667e+06  \n",
       "5.9      1.581656e+05  4.101057e+06  \n",
       "6.0      1.566999e+05  4.029374e+06  \n",
       "6.1      1.555414e+05  4.099599e+06  \n",
       "6.2      1.540049e+05  4.068738e+06  \n",
       "6.3      1.525401e+05  4.120256e+06  \n",
       "6.4      1.512234e+05  4.090494e+06  \n",
       "6.5      1.500449e+05  4.097566e+06  \n",
       "6.6      1.488497e+05  4.091179e+06  \n",
       "6.7      1.476562e+05  4.082066e+06  \n",
       "6.8      1.465403e+05  4.095116e+06  \n",
       "6.9      1.454762e+05  4.040660e+06  \n",
       "7.0      1.442480e+05  4.073288e+06  \n",
       "7.1      1.432943e+05  4.029021e+06  \n",
       "7.2      1.422453e+05  4.072768e+06  \n",
       "7.3      1.412194e+05  4.058576e+06  \n",
       "7.4      1.402252e+05  4.105895e+06  \n",
       "7.5      1.394424e+05  4.079715e+06  \n",
       "7.6      1.381860e+05  4.105321e+06  \n",
       "7.7      1.374412e+05  4.067821e+06  \n",
       "7.8      1.365105e+05  4.082768e+06  \n",
       "7.9      1.354617e+05  4.071295e+06  \n",
       "8.0      1.346771e+05  4.062930e+06  \n",
       "8.1      1.337837e+05  4.039444e+06  \n",
       "8.2      1.330145e+05  4.034671e+06  \n",
       "8.3      1.321105e+05  4.055529e+06  \n",
       "8.4      1.313676e+05  4.071502e+06  \n",
       "8.5      1.306220e+05  4.064916e+06  \n",
       "8.6      1.298668e+05  4.085014e+06  \n",
       "8.7      1.290729e+05  4.088238e+06  \n",
       "8.8      1.282320e+05  4.055150e+06  \n",
       "8.9      1.271826e+05  4.082891e+06  \n",
       "9.0      1.267863e+05  4.056493e+06  \n",
       "9.1      1.260513e+05  4.080174e+06  \n",
       "9.2      1.254554e+05  4.031804e+06  \n",
       "9.3      1.246235e+05  4.043017e+06  \n",
       "9.4      1.238194e+05  4.019546e+06  \n",
       "9.5      1.233705e+05  4.061065e+06  \n",
       "9.6      1.225156e+05  4.058894e+06  \n",
       "9.7      1.221516e+05  4.050796e+06  \n",
       "9.8      1.214267e+05  4.078494e+06  \n",
       "9.9      1.207567e+05  4.056317e+06  \n",
       "10.0     1.199600e+05  4.061432e+06  \n",
       "10.1     1.193332e+05  4.015268e+06  \n",
       "10.2     1.188846e+05  4.050654e+06  \n",
       "10.3     1.182954e+05  4.027881e+06  \n",
       "10.4     1.176928e+05  4.067429e+06  \n",
       "10.5     1.171868e+05  4.004848e+06  \n",
       "10.6     1.165625e+05  4.055132e+06  \n",
       "10.7     1.157840e+05  3.988071e+06  \n",
       "10.8     1.154385e+05  3.750378e+06  \n",
       "10.9     1.148723e+05  3.943037e+06  \n",
       "11.0     1.144922e+05  3.893098e+06  \n",
       "11.1     1.138039e+05  3.940770e+06  \n",
       "11.2     1.132929e+05  3.904357e+06  \n",
       "11.3     1.127906e+05  3.665124e+06  \n",
       "11.4     1.124184e+05           NaN  \n",
       "11.5     1.121870e+05           NaN  \n",
       "11.6     1.113108e+05           NaN  \n",
       "11.7     1.108918e+05           NaN  \n",
       "11.8     1.104278e+05           NaN  \n",
       "11.9     1.099567e+05           NaN  \n",
       "12.5     1.071906e+05           NaN  \n",
       "12.6     1.068898e+05           NaN  \n",
       "12.7     1.064989e+05           NaN  \n",
       "12.8     1.058383e+05           NaN  \n",
       "12.9     1.055105e+05           NaN  \n",
       "13.0     1.049856e+05           NaN  \n",
       "13.1     1.047113e+05           NaN  \n",
       "13.2     1.044868e+05           NaN  \n",
       "13.3     1.038595e+05           NaN  \n",
       "13.4     1.036037e+05           NaN  \n",
       "13.5     1.029009e+05           NaN  \n",
       "13.6     1.026406e+05           NaN  \n",
       "13.7     1.022362e+05           NaN  \n",
       "13.8     1.019883e+05           NaN  \n",
       "13.9     1.016070e+05           NaN  \n",
       "14.0     1.012696e+05           NaN  \n",
       "14.1     1.008626e+05           NaN  \n",
       "14.2     1.004639e+05           NaN  \n",
       "14.3     1.003087e+05           NaN  \n",
       "14.4     9.986887e+04           NaN  \n",
       "14.5     9.950027e+04           NaN  \n",
       "14.6     9.921576e+04           NaN  \n",
       "14.7     9.876044e+04           NaN  \n",
       "14.8     9.846502e+04           NaN  \n",
       "14.9     9.810973e+04           NaN  \n",
       "15.0     9.789263e+04           NaN  \n",
       "15.1     9.761587e+04           NaN  \n",
       "15.2     9.720254e+04           NaN  \n",
       "15.3     9.691956e+04           NaN  \n",
       "15.4     9.677005e+04           NaN  \n",
       "15.5     9.618876e+04           NaN  \n",
       "15.6     9.606583e+04           NaN  \n",
       "15.7     9.555762e+04           NaN  \n",
       "15.8     9.544419e+04           NaN  \n",
       "15.9     9.501527e+04           NaN  \n",
       "16.0     9.472678e+04           NaN  \n",
       "16.1     9.446184e+04           NaN  \n",
       "16.2     9.421876e+04           NaN  \n",
       "16.3     9.394382e+04           NaN  \n",
       "16.4     9.365927e+04           NaN  \n",
       "16.5     9.342729e+04           NaN  \n",
       "16.6     9.321210e+04           NaN  \n",
       "16.7     9.285771e+04           NaN  \n",
       "16.8     9.249443e+04           NaN  \n",
       "16.9     9.232673e+04           NaN  \n",
       "17.0     9.207832e+04           NaN  \n",
       "17.1     9.168958e+04           NaN  \n",
       "17.2     9.138595e+04           NaN  \n",
       "17.3     9.123280e+04           NaN  \n",
       "17.4     9.081617e+04           NaN  \n",
       "17.5     9.040549e+04           NaN  \n",
       "17.6     9.053183e+04           NaN  \n",
       "17.7     9.000011e+04           NaN  \n",
       "17.8     8.978683e+04           NaN  \n",
       "17.9     8.946287e+04           NaN  \n",
       "18.0     8.931040e+04           NaN  \n",
       "18.1     8.923096e+04           NaN  \n",
       "18.2     8.886538e+04           NaN  \n",
       "18.3     8.875387e+04           NaN  \n",
       "18.4     8.841754e+04           NaN  \n",
       "18.5     8.820653e+04           NaN  \n",
       "18.6     8.796467e+04           NaN  \n",
       "18.7     8.761424e+04           NaN  \n",
       "18.8     8.753514e+04           NaN  \n",
       "18.9     8.699767e+04           NaN  \n",
       "19.0     8.701352e+04           NaN  \n",
       "19.1     8.668860e+04           NaN  \n",
       "19.2     8.651213e+04           NaN  \n",
       "19.3     8.650351e+04           NaN  \n",
       "19.4     8.606951e+04           NaN  \n",
       "19.5     8.584631e+04           NaN  \n",
       "19.6     8.563170e+04           NaN  \n",
       "19.7     8.568624e+04           NaN  \n",
       "19.8     8.531416e+04           NaN  \n",
       "19.9     8.520860e+04           NaN  \n",
       "20.0     8.466149e+04           NaN  \n",
       "20.1     8.449262e+04           NaN  \n",
       "20.2     8.434849e+04           NaN  \n",
       "20.3     8.417796e+04           NaN  \n",
       "20.4     8.401317e+04           NaN  \n",
       "20.5     8.361809e+04           NaN  \n",
       "20.6     8.365975e+04           NaN  \n",
       "20.7     8.331616e+04           NaN  \n",
       "20.8     8.301184e+04           NaN  \n",
       "20.9     8.280216e+04           NaN  \n",
       "21.0     8.282973e+04           NaN  \n",
       "21.1     8.252458e+04           NaN  \n",
       "21.2     8.225538e+04           NaN  \n",
       "21.3     8.197200e+04           NaN  \n",
       "21.4     8.192175e+04           NaN  \n",
       "21.5     8.155487e+04           NaN  \n",
       "21.6     8.168659e+04           NaN  \n",
       "21.7     8.122869e+04           NaN  \n",
       "21.8     8.119081e+04           NaN  \n",
       "21.9     8.095993e+04           NaN  \n",
       "22.0     8.088870e+04           NaN  \n",
       "22.1     8.072287e+04           NaN  \n",
       "22.2     8.047562e+04           NaN  \n",
       "22.3     8.034973e+04           NaN  \n",
       "22.4     8.023338e+04           NaN  \n",
       "22.5     7.992369e+04           NaN  \n",
       "22.6     7.980190e+04           NaN  \n",
       "22.7     7.975011e+04           NaN  \n",
       "22.8     7.961183e+04           NaN  \n",
       "22.9     7.942713e+04           NaN  \n",
       "23.0     7.910371e+04           NaN  \n",
       "23.1     7.900253e+04           NaN  \n",
       "23.2     7.887917e+04           NaN  \n",
       "23.3     7.859398e+04           NaN  \n",
       "23.4     7.839530e+04           NaN  \n",
       "23.5     7.834071e+04           NaN  \n",
       "23.6     7.818497e+04           NaN  \n",
       "23.7     7.808649e+04           NaN  \n",
       "23.8     7.785905e+04           NaN  \n",
       "23.9     7.768827e+04           NaN  \n",
       "24.0     7.749262e+04           NaN  \n",
       "24.1     7.724713e+04           NaN  \n",
       "24.2     7.713043e+04           NaN  \n",
       "24.3     7.686353e+04           NaN  \n",
       "24.4     7.688181e+04           NaN  \n",
       "24.5     7.670502e+04           NaN  \n",
       "24.6     7.654476e+04           NaN  \n",
       "24.7     7.636358e+04           NaN  \n",
       "24.8     7.637230e+04           NaN  \n",
       "24.9     7.597753e+04           NaN  \n",
       "25.0     7.597367e+04           NaN  \n",
       "25.1     7.588047e+04           NaN  \n",
       "25.2     7.579867e+04           NaN  \n",
       "25.3     7.561547e+04           NaN  \n",
       "25.4     7.549702e+04           NaN  \n",
       "25.5     7.526671e+04           NaN  \n",
       "25.6     7.511998e+04           NaN  \n",
       "25.7     7.486296e+04           NaN  \n",
       "25.8     7.484481e+04           NaN  \n",
       "25.9     7.466009e+04           NaN  \n",
       "26.0     7.453000e+04           NaN  \n",
       "26.1     7.451584e+04           NaN  \n",
       "26.2     7.443867e+04           NaN  \n",
       "26.3     7.433967e+04           NaN  \n",
       "26.4     7.426567e+04           NaN  \n",
       "26.5     7.417618e+04           NaN  \n",
       "26.6     7.394556e+04           NaN  \n",
       "26.7     7.410907e+04           NaN  \n",
       "26.8     7.376206e+04           NaN  \n",
       "26.9     7.382709e+04           NaN  \n",
       "27.0     7.381552e+04           NaN  \n",
       "27.1     7.378318e+04           NaN  \n",
       "27.2     7.396803e+04           NaN  \n",
       "27.3     7.365789e+04           NaN  \n",
       "27.4     7.401130e+04           NaN  \n",
       "27.5     7.405598e+04           NaN  \n",
       "27.6     7.426046e+04           NaN  \n",
       "27.7     7.440813e+04           NaN  \n",
       "27.8     7.471403e+04           NaN  \n",
       "27.9     7.510887e+04           NaN  \n",
       "28.0     7.532905e+04           NaN  \n",
       "28.1     7.537640e+04           NaN  \n",
       "28.2     7.552602e+04           NaN  \n",
       "28.3     7.565380e+04           NaN  \n",
       "28.4     7.605979e+04           NaN  \n",
       "28.5     7.676656e+04           NaN  \n",
       "28.6     7.723729e+04           NaN  \n",
       "28.7     7.767680e+04           NaN  \n",
       "28.8     7.847663e+04           NaN  \n",
       "28.9     7.946998e+04           NaN  \n",
       "29.0     8.029584e+04           NaN  \n",
       "29.1     8.161740e+04           NaN  \n",
       "29.2     8.247940e+04           NaN  \n",
       "29.3     8.370058e+04           NaN  \n",
       "29.4     8.490400e+04           NaN  \n",
       "29.5     8.612244e+04           NaN  \n",
       "29.6     8.712084e+04           NaN  \n",
       "29.7     8.816013e+04           NaN  \n",
       "29.8     8.925824e+04           NaN  \n",
       "29.9     9.043936e+04           NaN  \n",
       "30.0     9.133665e+04           NaN  \n",
       "30.1     9.233696e+04           NaN  \n",
       "30.2     9.364546e+04           NaN  \n",
       "30.3     9.472949e+04           NaN  \n",
       "30.4     9.595952e+04           NaN  \n",
       "30.5     9.718989e+04           NaN  \n",
       "30.6     9.848235e+04           NaN  \n",
       "30.7     9.961567e+04           NaN  \n",
       "30.8     1.011115e+05           NaN  \n",
       "30.9     1.026915e+05           NaN  \n",
       "31.0     1.040725e+05           NaN  \n",
       "31.1     1.052474e+05           NaN  \n",
       "31.2     1.062110e+05           NaN  \n",
       "31.3     1.083485e+05           NaN  \n",
       "31.4     1.093921e+05           NaN  \n",
       "31.5     1.104186e+05           NaN  \n",
       "31.6     1.113738e+05           NaN  \n",
       "31.7     1.130088e+05           NaN  \n",
       "31.8     1.135576e+05           NaN  \n",
       "31.9     1.143428e+05           NaN  \n",
       "32.0     1.149344e+05           NaN  \n",
       "32.1     1.156541e+05           NaN  \n",
       "32.2     1.164717e+05           NaN  \n",
       "32.3     1.166881e+05           NaN  \n",
       "32.4     1.174418e+05           NaN  \n",
       "32.5     1.178547e+05           NaN  \n",
       "32.6     1.183695e+05           NaN  \n",
       "32.7     1.186966e+05           NaN  \n",
       "32.8     1.184795e+05           NaN  \n",
       "32.9     1.193470e+05           NaN  \n",
       "33.0     1.197072e+05           NaN  \n",
       "33.1     1.202268e+05           NaN  \n",
       "33.2     1.203322e+05           NaN  \n",
       "33.3     1.207809e+05           NaN  \n",
       "33.4     1.211110e+05           NaN  \n",
       "33.5     1.211163e+05           NaN  \n",
       "33.6     1.212759e+05           NaN  \n",
       "33.7     1.218607e+05           NaN  \n",
       "33.8     1.216814e+05           NaN  \n",
       "33.9     1.217753e+05           NaN  \n",
       "34.0     1.220115e+05           NaN  \n",
       "34.1     1.217344e+05           NaN  \n",
       "34.2     1.216973e+05           NaN  \n",
       "34.3     1.219773e+05           NaN  \n",
       "34.4     1.218252e+05           NaN  \n",
       "34.5     1.222266e+05           NaN  \n",
       "34.6     1.220474e+05           NaN  \n",
       "34.7     1.220332e+05           NaN  \n",
       "34.8     1.220072e+05           NaN  \n",
       "34.9     1.217064e+05           NaN  \n",
       "35.0     1.219565e+05           NaN  \n",
       "35.1     1.219873e+05           NaN  \n",
       "35.2     1.218703e+05           NaN  \n",
       "35.3     1.220400e+05           NaN  \n",
       "35.4     1.218864e+05           NaN  \n",
       "35.5     1.218318e+05           NaN  \n",
       "35.6     1.219170e+05           NaN  \n",
       "35.7     1.218120e+05           NaN  \n",
       "35.8     1.217757e+05           NaN  \n",
       "35.9     1.215764e+05           NaN  \n",
       "36.0     1.217746e+05           NaN  \n",
       "36.1     1.215911e+05           NaN  \n",
       "36.2     1.216418e+05           NaN  \n",
       "36.3     1.218439e+05           NaN  \n",
       "36.4     1.215856e+05           NaN  \n",
       "36.5     1.217214e+05           NaN  \n",
       "36.6     1.216368e+05           NaN  \n",
       "36.7     1.217306e+05           NaN  \n",
       "36.8     1.216992e+05           NaN  \n",
       "36.9     1.215868e+05           NaN  \n",
       "37.0     1.216739e+05           NaN  \n",
       "37.1     1.214619e+05           NaN  \n",
       "37.2     1.214990e+05           NaN  \n",
       "37.3     1.216078e+05           NaN  \n",
       "37.4     1.215793e+05           NaN  \n",
       "37.5     1.215639e+05           NaN  \n",
       "37.6     1.216330e+05           NaN  \n",
       "37.7     1.213755e+05           NaN  \n",
       "37.8     1.215141e+05           NaN  \n",
       "37.9     1.214257e+05           NaN  \n",
       "38.0     1.216640e+05           NaN  \n",
       "38.1     1.217866e+05           NaN  \n",
       "38.2     1.217750e+05           NaN  \n",
       "38.3     1.213546e+05           NaN  \n",
       "38.4     1.214553e+05           NaN  \n",
       "38.5     1.214488e+05           NaN  \n",
       "38.6     1.213864e+05           NaN  \n",
       "38.7     1.214435e+05           NaN  \n",
       "38.8     1.214748e+05           NaN  \n",
       "38.9     1.214828e+05           NaN  \n",
       "39.0     1.215915e+05           NaN  \n",
       "39.1     1.213877e+05           NaN  \n",
       "39.2     1.215266e+05           NaN  \n",
       "39.3     1.212111e+05           NaN  \n",
       "39.4     1.215803e+05           NaN  \n",
       "39.5     1.215706e+05           NaN  \n",
       "39.6     1.213325e+05           NaN  \n",
       "39.7     1.215797e+05           NaN  \n",
       "39.8     1.213483e+05           NaN  \n",
       "39.9     1.213008e+05           NaN  \n",
       "40.0     1.212684e+05           NaN  \n",
       "40.1     1.212270e+05           NaN  \n",
       "40.2     1.214319e+05           NaN  \n",
       "40.3     1.212921e+05           NaN  \n",
       "40.4     1.212965e+05           NaN  \n",
       "40.5     1.210798e+05           NaN  \n",
       "40.6     1.211116e+05           NaN  \n",
       "40.7     1.213688e+05           NaN  \n",
       "40.8     1.213163e+05           NaN  \n",
       "40.9     1.209893e+05           NaN  \n",
       "41.0     1.213277e+05           NaN  \n",
       "41.1     1.213257e+05           NaN  \n",
       "41.2     1.213013e+05           NaN  \n",
       "41.3     1.215050e+05           NaN  \n",
       "41.4     1.212554e+05           NaN  \n",
       "41.5     1.212104e+05           NaN  \n",
       "41.6     1.213398e+05           NaN  \n",
       "41.7     1.211096e+05           NaN  \n",
       "41.8     1.210789e+05           NaN  \n",
       "41.9     1.212541e+05           NaN  \n",
       "42.0     1.211958e+05           NaN  \n",
       "42.1     1.209724e+05           NaN  \n",
       "42.2     1.213768e+05           NaN  \n",
       "42.3     1.213939e+05           NaN  \n",
       "42.4     1.209737e+05           NaN  \n",
       "42.5     1.212943e+05           NaN  \n",
       "42.6     1.212448e+05           NaN  \n",
       "42.7     1.208131e+05           NaN  \n",
       "42.8     1.210034e+05           NaN  \n",
       "42.9     1.210685e+05           NaN  \n",
       "43.0     1.212170e+05           NaN  \n",
       "43.1     1.211952e+05           NaN  \n",
       "43.2     1.213430e+05           NaN  \n",
       "43.3     1.212289e+05           NaN  \n",
       "43.4     1.209725e+05           NaN  \n",
       "43.5     1.209928e+05           NaN  \n",
       "43.6     1.211597e+05           NaN  \n",
       "43.7     1.210013e+05           NaN  \n",
       "43.8     1.214460e+05           NaN  \n",
       "43.9     1.212170e+05           NaN  \n",
       "44.0     1.211324e+05           NaN  \n",
       "44.1     1.212907e+05           NaN  \n",
       "44.2     1.212693e+05           NaN  \n",
       "44.3     1.211751e+05           NaN  \n",
       "44.4     1.210639e+05           NaN  \n",
       "44.5     1.210918e+05           NaN  \n",
       "44.6     1.211277e+05           NaN  \n",
       "44.7     1.210854e+05           NaN  \n",
       "44.8     1.212869e+05           NaN  \n",
       "44.9     1.213576e+05           NaN  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pivot_throughput_data_graph500 = throughput_data.query(\"graph == 'graph500-24'\").pivot_table(index=\"minute\", columns=\"library\", values=\"throughput\")\n",
    "pivot_throughput_data_uniform = throughput_data.query(\"graph == 'uniform-24'\").pivot_table(index=\"minute\", columns=\"library\", values=\"throughput\")\n",
    "\n",
    "pivot_throughput_data_graph500 = pivot_throughput_data_graph500.query(\"minute < 45\")\n",
    "\n",
    "# Filter out old version\n",
    "pivot_throughput_data_graph500[\"sortledton\"] = pivot_throughput_data_graph500[\"sortledton.3\"]\n",
    "pivot_throughput_data_graph500 = pivot_throughput_data_graph500.drop(\"sortledton.1\", axis=1)\n",
    "pivot_throughput_data_graph500 = pivot_throughput_data_graph500.drop(\"sortledton.3\", axis=1)\n",
    "# Filter out experiment end artifacts of Sortledton\n",
    "pivot_throughput_data_graph500 = pivot_throughput_data_graph500.query(\"minute!= 12.0 and minute!= 12.4 and minute != 12.3 and minute != 12.2 and minute != 12.1\")\n",
    "pivot_throughput_data_graph500"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6d78647d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1200x741.641 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## FIGURE 11b\n",
    "\n",
    "matplotlib.style.use('classic')\n",
    "\n",
    "colormap=common.set_library_colormap(\"\")\n",
    "\n",
    "plotting.latexify(fig_width=3)\n",
    "\n",
    "p = pivot_throughput_data_graph500.plot.line(color=colormap, linewidth=1, legend=None)\n",
    "\n",
    "p.set_yscale('linear')\n",
    "scale_y = 1e6\n",
    "\n",
    "ticks_y = ticker.FuncFormatter(lambda x, pos: '{0:g}'.format(x/scale_y))\n",
    "p.yaxis.set_major_locator(ticker.MultipleLocator(scale_y))\n",
    "p.yaxis.set_major_formatter(ticks_y)\n",
    "plt.yticks()\n",
    "\n",
    "plt.ylabel(\"meps\")\n",
    "plt.xlabel(\"Time [minutes]\")\n",
    "plt.xticks(rotation=0)\n",
    "\n",
    "p.plot(12.3, 3.4e+06, marker=\"*\", markersize=7, color=\"blue\")\n",
    "p.plot(11.3, 3.7e+06, marker=\"*\", markersize=7, color=\"mediumorchid\")\n",
    "\n",
    "plotting.format_axes(p, yscale=\"linear\")\n",
    "plt.grid(axis='y', which=\"minor\", b=None)\n",
    "           \n",
    "plt.tight_layout()\n",
    "plt.savefig(plotting.base_path + \"throughput-new.png\", dpi=400)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}