Sealevel_contextData.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Context data for the sea level data explorer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "from datetime import datetime\n",
    "\n",
    "#get data from worldbank\n",
    "from pandas_datareader import wb\n",
    "\n",
    "import glob\n",
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib\n",
    "import json\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "InteractiveShell.ast_node_interactivity = \"all\"\n",
    "pd.options.display.max_rows = 200\n",
    "#matplotlib.rcParams['svg.fonttype'] = 'none'\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sea Level Data, Stations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "519"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>location</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Brest</td>\n",
       "      <td>48.383</td>\n",
       "      <td>-4.495</td>\n",
       "      <td>FRA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>3</td>\n",
       "      <td>Sheerness</td>\n",
       "      <td>51.446</td>\n",
       "      <td>743.000</td>\n",
       "      <td>GBR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>5</td>\n",
       "      <td>Holyhead</td>\n",
       "      <td>53.314</td>\n",
       "      <td>-4.620</td>\n",
       "      <td>GBR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>7</td>\n",
       "      <td>Cuxhaven 2</td>\n",
       "      <td>53.867</td>\n",
       "      <td>8.717</td>\n",
       "      <td>DEU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>8</td>\n",
       "      <td>Wismar 2</td>\n",
       "      <td>53.899</td>\n",
       "      <td>11.458</td>\n",
       "      <td>DEU</td>\n",
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       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "     id    location  latitude  longitude country\n",
       "0     1       Brest    48.383     -4.495     FRA\n",
       "32    3   Sheerness    51.446    743.000     GBR\n",
       "64    5    Holyhead    53.314     -4.620     GBR\n",
       "96    7  Cuxhaven 2    53.867      8.717     DEU\n",
       "128   8    Wismar 2    53.899     11.458     DEU"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations = pd.read_csv('context_data/sealevel_viz_psmsl_1985_2015.csv', usecols=[1, 3, 4, 5, 6])\n",
    "\n",
    "stations = stations.drop_duplicates()\n",
    "\n",
    "stations['id'].nunique()\n",
    "stations.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "tide_data = pd.read_csv('data/dataviz/sealevel_viz_whole_timeseries.csv')\n",
    "\n",
    "#tide_data = pd.read_csv('data/dataviz/sealevel_viz_psmsl_1985_2015.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>208.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>-397.0</td>\n",
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       "      <td>-233.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-265.0</td>\n",
       "      <td>-353.0</td>\n",
       "      <td>-195.0</td>\n",
       "      <td>-245.0</td>\n",
       "      <td>-295.0</td>\n",
       "      <td>-271.0</td>\n",
       "      <td>-211.0</td>\n",
       "      <td>-283.0</td>\n",
       "      <td>-229.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>41</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1034.0</td>\n",
       "      <td>1197.0</td>\n",
       "      <td>1127.0</td>\n",
       "      <td>1053.0</td>\n",
       "      <td>1147.0</td>\n",
       "      <td>1113.0</td>\n",
       "      <td>1110.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-109.0</td>\n",
       "      <td>-182.0</td>\n",
       "      <td>-57.0</td>\n",
       "      <td>-115.0</td>\n",
       "      <td>-97.0</td>\n",
       "      <td>-125.0</td>\n",
       "      <td>-19.0</td>\n",
       "      <td>-109.0</td>\n",
       "      <td>-61.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>47</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>82.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>51</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>278.0</td>\n",
       "      <td>271.0</td>\n",
       "      <td>288.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>57</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-1102.0</td>\n",
       "      <td>-1168.0</td>\n",
       "      <td>-1006.0</td>\n",
       "      <td>-1009.0</td>\n",
       "      <td>-1139.0</td>\n",
       "      <td>-1164.0</td>\n",
       "      <td>-967.0</td>\n",
       "      <td>-1124.0</td>\n",
       "      <td>-1012.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>58</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>90.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>86.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>61</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>204.0</td>\n",
       "      <td>333.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>246.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-390.0</td>\n",
       "      <td>-479.0</td>\n",
       "      <td>-322.0</td>\n",
       "      <td>-372.0</td>\n",
       "      <td>-422.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-330.0</td>\n",
       "      <td>-402.0</td>\n",
       "      <td>-353.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>69</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-178.0</td>\n",
       "      <td>-183.0</td>\n",
       "      <td>-118.0</td>\n",
       "      <td>-77.0</td>\n",
       "      <td>-186.0</td>\n",
       "      <td>-218.0</td>\n",
       "      <td>-65.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-43.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>70</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-21.0</td>\n",
       "      <td>-23.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>-28.0</td>\n",
       "      <td>-56.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>71</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-504.0</td>\n",
       "      <td>-550.0</td>\n",
       "      <td>-417.0</td>\n",
       "      <td>-396.0</td>\n",
       "      <td>-522.0</td>\n",
       "      <td>-560.0</td>\n",
       "      <td>-366.0</td>\n",
       "      <td>-487.0</td>\n",
       "      <td>-377.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>76</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>37.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>78</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-439.0</td>\n",
       "      <td>-472.0</td>\n",
       "      <td>-367.0</td>\n",
       "      <td>-333.0</td>\n",
       "      <td>-467.0</td>\n",
       "      <td>-491.0</td>\n",
       "      <td>-327.0</td>\n",
       "      <td>-438.0</td>\n",
       "      <td>-329.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>79</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-685.0</td>\n",
       "      <td>-768.0</td>\n",
       "      <td>-584.0</td>\n",
       "      <td>-602.0</td>\n",
       "      <td>-725.0</td>\n",
       "      <td>-738.0</td>\n",
       "      <td>-530.0</td>\n",
       "      <td>-713.0</td>\n",
       "      <td>-601.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>80</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>178.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>265.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>293.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>297.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>81</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>115.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>82</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>38.0</td>\n",
       "      <td>-59.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>88</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-898.0</td>\n",
       "      <td>-970.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-803.0</td>\n",
       "      <td>-940.0</td>\n",
       "      <td>-958.0</td>\n",
       "      <td>-768.0</td>\n",
       "      <td>-928.0</td>\n",
       "      <td>-813.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>89</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>-18.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>-11.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>91</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-45.0</td>\n",
       "      <td>-31.0</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>-39.0</td>\n",
       "      <td>-64.0</td>\n",
       "      <td>-36.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>-16.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>95</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>213.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>239.0</td>\n",
       "      <td>255.0</td>\n",
       "      <td>267.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>96</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>367.0</td>\n",
       "      <td>440.0</td>\n",
       "      <td>405.0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>340.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>98</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>143.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>238.0</td>\n",
       "      <td>228.0</td>\n",
       "      <td>357.0</td>\n",
       "      <td>326.0</td>\n",
       "      <td>326.0</td>\n",
       "      <td>254.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>148.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>224.0</td>\n",
       "      <td>237.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>113</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>102.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>118</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>30.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>119</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>40.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>120</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>167.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>237.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>229.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>126</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>67.0</td>\n",
       "      <td>-369.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>-407.0</td>\n",
       "      <td>-108.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>-237.0</td>\n",
       "      <td>-37.0</td>\n",
       "      <td>462.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>127</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>176.0</td>\n",
       "      <td>246.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>289.0</td>\n",
       "      <td>293.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>130</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>319.0</td>\n",
       "      <td>336.0</td>\n",
       "      <td>338.0</td>\n",
       "      <td>348.0</td>\n",
       "      <td>344.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>306.0</td>\n",
       "      <td>334.0</td>\n",
       "      <td>316.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>284.0</td>\n",
       "      <td>315.0</td>\n",
       "      <td>274.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>132</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-81.0</td>\n",
       "      <td>-40.0</td>\n",
       "      <td>-101.0</td>\n",
       "      <td>-56.0</td>\n",
       "      <td>-51.0</td>\n",
       "      <td>-93.0</td>\n",
       "      <td>-97.0</td>\n",
       "      <td>-49.0</td>\n",
       "      <td>-56.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>133</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>27.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>134</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>80.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>135</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>423.0</td>\n",
       "      <td>428.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>417.0</td>\n",
       "      <td>386.0</td>\n",
       "      <td>408.0</td>\n",
       "      <td>368.0</td>\n",
       "      <td>396.0</td>\n",
       "      <td>421.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>137</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>355.0</td>\n",
       "      <td>-60.0</td>\n",
       "      <td>388.0</td>\n",
       "      <td>-139.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>357.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>777.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>144</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>74.0</td>\n",
       "      <td>-226.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>-279.0</td>\n",
       "      <td>-51.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>-164.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>373.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>145</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>827.0</td>\n",
       "      <td>799.0</td>\n",
       "      <td>833.0</td>\n",
       "      <td>899.0</td>\n",
       "      <td>870.0</td>\n",
       "      <td>782.0</td>\n",
       "      <td>802.0</td>\n",
       "      <td>831.0</td>\n",
       "      <td>861.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>148</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>252.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>255.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>281.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>154</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>305.0</td>\n",
       "      <td>372.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>321.0</td>\n",
       "      <td>352.0</td>\n",
       "      <td>265.0</td>\n",
       "      <td>288.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>310.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>155</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>133.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>282.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>158</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>210.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>286.0</td>\n",
       "      <td>326.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>271.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>161</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>556.0</td>\n",
       "      <td>555.0</td>\n",
       "      <td>503.0</td>\n",
       "      <td>570.0</td>\n",
       "      <td>576.0</td>\n",
       "      <td>557.0</td>\n",
       "      <td>634.0</td>\n",
       "      <td>716.0</td>\n",
       "      <td>679.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>163</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>164.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>165</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-274.0</td>\n",
       "      <td>-212.0</td>\n",
       "      <td>-272.0</td>\n",
       "      <td>-233.0</td>\n",
       "      <td>-341.0</td>\n",
       "      <td>-225.0</td>\n",
       "      <td>-222.0</td>\n",
       "      <td>-208.0</td>\n",
       "      <td>-227.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>166</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>94.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>82.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>172</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-564.0</td>\n",
       "      <td>-617.0</td>\n",
       "      <td>-469.0</td>\n",
       "      <td>-460.0</td>\n",
       "      <td>-591.0</td>\n",
       "      <td>-621.0</td>\n",
       "      <td>-430.0</td>\n",
       "      <td>-570.0</td>\n",
       "      <td>-462.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>173</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-44.0</td>\n",
       "      <td>-27.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-84.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>174</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>114.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>175</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-103.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>-39.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>-104.0</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>179</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-179.0</td>\n",
       "      <td>-240.0</td>\n",
       "      <td>-134.0</td>\n",
       "      <td>-161.0</td>\n",
       "      <td>-209.0</td>\n",
       "      <td>-188.0</td>\n",
       "      <td>-152.0</td>\n",
       "      <td>-191.0</td>\n",
       "      <td>-137.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>180</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>391.0</td>\n",
       "      <td>430.0</td>\n",
       "      <td>413.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>353.0</td>\n",
       "      <td>378.0</td>\n",
       "      <td>352.0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>183</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>190.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>217.0</td>\n",
       "      <td>211.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>188</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>203.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>237.0</td>\n",
       "      <td>247.0</td>\n",
       "      <td>255.0</td>\n",
       "      <td>284.0</td>\n",
       "      <td>271.0</td>\n",
       "      <td>267.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>189</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>115.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>236.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>192</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>196.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>224.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>352.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>193</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>-28.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>194</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-733.0</td>\n",
       "      <td>-807.0</td>\n",
       "      <td>-629.0</td>\n",
       "      <td>-634.0</td>\n",
       "      <td>-763.0</td>\n",
       "      <td>-786.0</td>\n",
       "      <td>-589.0</td>\n",
       "      <td>-754.0</td>\n",
       "      <td>-641.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>195</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>217.0</td>\n",
       "      <td>237.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>217.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>196</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>78.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>201</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>436.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>495.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>341.0</td>\n",
       "      <td>444.0</td>\n",
       "      <td>239.0</td>\n",
       "      <td>407.0</td>\n",
       "      <td>746.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>202</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>162.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>203</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-780.0</td>\n",
       "      <td>-849.0</td>\n",
       "      <td>-666.0</td>\n",
       "      <td>-675.0</td>\n",
       "      <td>-812.0</td>\n",
       "      <td>-826.0</td>\n",
       "      <td>-632.0</td>\n",
       "      <td>-802.0</td>\n",
       "      <td>-687.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>205</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>41.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>213</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>84.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>215</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>147.0</td>\n",
       "      <td>297.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>254.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>216</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>207.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>208.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>221</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>200.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>282.0</td>\n",
       "      <td>223.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>224</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>293.0</td>\n",
       "      <td>307.0</td>\n",
       "      <td>303.0</td>\n",
       "      <td>291.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>283.0</td>\n",
       "      <td>256.0</td>\n",
       "      <td>295.0</td>\n",
       "      <td>302.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>225</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-65.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>-40.0</td>\n",
       "      <td>-19.0</td>\n",
       "      <td>-119.0</td>\n",
       "      <td>-69.0</td>\n",
       "      <td>-55.0</td>\n",
       "      <td>-39.0</td>\n",
       "      <td>-61.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>229</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-690.0</td>\n",
       "      <td>-775.0</td>\n",
       "      <td>-579.0</td>\n",
       "      <td>-599.0</td>\n",
       "      <td>-729.0</td>\n",
       "      <td>-738.0</td>\n",
       "      <td>-534.0</td>\n",
       "      <td>-717.0</td>\n",
       "      <td>-604.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>230</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>125.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>234</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>197.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>274.0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>287.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>235</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>257.0</td>\n",
       "      <td>323.0</td>\n",
       "      <td>283.0</td>\n",
       "      <td>265.0</td>\n",
       "      <td>257.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>229.0</td>\n",
       "      <td>267.0</td>\n",
       "      <td>272.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>236</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>120.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>239</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-406.0</td>\n",
       "      <td>-449.0</td>\n",
       "      <td>-311.0</td>\n",
       "      <td>-299.0</td>\n",
       "      <td>-419.0</td>\n",
       "      <td>-456.0</td>\n",
       "      <td>-265.0</td>\n",
       "      <td>-398.0</td>\n",
       "      <td>-286.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>240</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-711.0</td>\n",
       "      <td>-794.0</td>\n",
       "      <td>-614.0</td>\n",
       "      <td>-620.0</td>\n",
       "      <td>-745.0</td>\n",
       "      <td>-759.0</td>\n",
       "      <td>-557.0</td>\n",
       "      <td>-735.0</td>\n",
       "      <td>-619.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>245</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>33.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>246</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>157.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>248</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>32.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>1353</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-127.0</td>\n",
       "      <td>-60.0</td>\n",
       "      <td>-127.0</td>\n",
       "      <td>-99.0</td>\n",
       "      <td>-184.0</td>\n",
       "      <td>-99.0</td>\n",
       "      <td>-87.0</td>\n",
       "      <td>-81.0</td>\n",
       "      <td>-183.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>1354</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>-38.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>1364</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>171.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>1365</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>71.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>1371</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>134.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>1386</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>43.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>1387</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>93.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>1388</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-101.0</td>\n",
       "      <td>-107.0</td>\n",
       "      <td>-137.0</td>\n",
       "      <td>-77.0</td>\n",
       "      <td>-137.0</td>\n",
       "      <td>-119.0</td>\n",
       "      <td>-118.0</td>\n",
       "      <td>-77.0</td>\n",
       "      <td>-95.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>1389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>93.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>1390</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>149.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>227.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>272.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>1391</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>151.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>1392</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-86.0</td>\n",
       "      <td>-48.0</td>\n",
       "      <td>-57.0</td>\n",
       "      <td>-16.0</td>\n",
       "      <td>-197.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-142.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>1393</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>1394</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>95.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>1395</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>1397</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>48.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>1420</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>1421</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-175.0</td>\n",
       "      <td>-203.0</td>\n",
       "      <td>-145.0</td>\n",
       "      <td>-204.0</td>\n",
       "      <td>-239.0</td>\n",
       "      <td>-262.0</td>\n",
       "      <td>-184.0</td>\n",
       "      <td>-219.0</td>\n",
       "      <td>-247.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>1423</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>61.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>1437</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>117.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>1438</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>128.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>1440</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-356.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>-206.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>-273.0</td>\n",
       "      <td>-123.0</td>\n",
       "      <td>-170.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>1441</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>44.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>-18.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>-22.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>1442</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>258.0</td>\n",
       "      <td>282.0</td>\n",
       "      <td>286.0</td>\n",
       "      <td>265.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>333.0</td>\n",
       "      <td>344.0</td>\n",
       "      <td>371.0</td>\n",
       "      <td>357.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>1444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>95.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>1445</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>77.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445</th>\n",
       "      <td>1446</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>70.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>1447</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-82.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>-14.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>1448</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-45.0</td>\n",
       "      <td>-16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>-24.0</td>\n",
       "      <td>-66.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>1449</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>28.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>1450</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>-33.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>1468</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>193.0</td>\n",
       "      <td>226.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>212.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>1469</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>119.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>1473</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58.0</td>\n",
       "      <td>-23.0</td>\n",
       "      <td>-41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>1474</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>66.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>-54.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>1475</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>99.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>1488</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-193.0</td>\n",
       "      <td>-181.0</td>\n",
       "      <td>-178.0</td>\n",
       "      <td>-164.0</td>\n",
       "      <td>-172.0</td>\n",
       "      <td>-227.0</td>\n",
       "      <td>-185.0</td>\n",
       "      <td>-165.0</td>\n",
       "      <td>-197.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>1489</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>22.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>1490</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>28.0</td>\n",
       "      <td>-27.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>1495</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>101.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>1501</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>61.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>1505</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>188.0</td>\n",
       "      <td>234.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>351.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>1522</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>61.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>1527</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>131.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>1544</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>53.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>1545</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-13.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>-35.0</td>\n",
       "      <td>-37.0</td>\n",
       "      <td>-25.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>1546</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>146.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>223.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>1549</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>194.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>221.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>1567</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>58.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>1568</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>24.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>1585</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>81.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>1586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>38.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>1587</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>36.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>-16.0</td>\n",
       "      <td>-25.0</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>-25.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>1588</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-10.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>1589</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>46.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>1590</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>129.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>1591</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>29.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>-16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>1592</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-157.0</td>\n",
       "      <td>-103.0</td>\n",
       "      <td>-91.0</td>\n",
       "      <td>-167.0</td>\n",
       "      <td>-151.0</td>\n",
       "      <td>-116.0</td>\n",
       "      <td>-121.0</td>\n",
       "      <td>-43.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>1593</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-18.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>-42.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>1594</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-18.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-16.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>1595</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>44.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>1597</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>-24.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>1600</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>1627</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>145.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>1628</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-23.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>1629</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>134.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>1630</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>193.0</td>\n",
       "      <td>241.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>1631</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>173.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>277.0</td>\n",
       "      <td>247.0</td>\n",
       "      <td>268.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>1633</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>31.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>1634</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>57.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>1635</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>156.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>1636</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>159.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>1637</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>165.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>1638</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>73.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>1639</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>137.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>256.0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>1640</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>44.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>1641</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>70.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>1643</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>202.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>229.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>241.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>1644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>139.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>1645</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>92.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>244.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>1801</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>501</th>\n",
       "      <td>2101</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-424.0</td>\n",
       "      <td>-505.0</td>\n",
       "      <td>-310.0</td>\n",
       "      <td>-328.0</td>\n",
       "      <td>-460.0</td>\n",
       "      <td>-468.0</td>\n",
       "      <td>-268.0</td>\n",
       "      <td>-446.0</td>\n",
       "      <td>-333.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>2103</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-220.0</td>\n",
       "      <td>-256.0</td>\n",
       "      <td>-147.0</td>\n",
       "      <td>-129.0</td>\n",
       "      <td>-260.0</td>\n",
       "      <td>-288.0</td>\n",
       "      <td>-118.0</td>\n",
       "      <td>-234.0</td>\n",
       "      <td>-122.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>2104</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-377.0</td>\n",
       "      <td>-394.0</td>\n",
       "      <td>-313.0</td>\n",
       "      <td>-281.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-411.0</td>\n",
       "      <td>-262.0</td>\n",
       "      <td>-363.0</td>\n",
       "      <td>-257.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>2105</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-154.0</td>\n",
       "      <td>-180.0</td>\n",
       "      <td>-94.0</td>\n",
       "      <td>-56.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-185.0</td>\n",
       "      <td>-32.0</td>\n",
       "      <td>-122.0</td>\n",
       "      <td>-36.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>505</th>\n",
       "      <td>2106</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>-23.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>-30.0</td>\n",
       "      <td>-58.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>506</th>\n",
       "      <td>2107</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>31.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>2110</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>66.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>2111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-172.0</td>\n",
       "      <td>-210.0</td>\n",
       "      <td>-112.0</td>\n",
       "      <td>-133.0</td>\n",
       "      <td>-183.0</td>\n",
       "      <td>-183.0</td>\n",
       "      <td>-108.0</td>\n",
       "      <td>-159.0</td>\n",
       "      <td>-100.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509</th>\n",
       "      <td>2112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-185.0</td>\n",
       "      <td>-239.0</td>\n",
       "      <td>-112.0</td>\n",
       "      <td>-140.0</td>\n",
       "      <td>-197.0</td>\n",
       "      <td>-174.0</td>\n",
       "      <td>-106.0</td>\n",
       "      <td>-170.0</td>\n",
       "      <td>-112.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>510</th>\n",
       "      <td>2113</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-136.0</td>\n",
       "      <td>-210.0</td>\n",
       "      <td>-77.0</td>\n",
       "      <td>-120.0</td>\n",
       "      <td>-164.0</td>\n",
       "      <td>-147.0</td>\n",
       "      <td>-93.0</td>\n",
       "      <td>-156.0</td>\n",
       "      <td>-101.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>2127</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>-24.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>-88.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>512</th>\n",
       "      <td>2215</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>97.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513</th>\n",
       "      <td>2261</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>-39.0</td>\n",
       "      <td>-11.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>2262</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-78.0</td>\n",
       "      <td>-165.0</td>\n",
       "      <td>-107.0</td>\n",
       "      <td>-98.0</td>\n",
       "      <td>-115.0</td>\n",
       "      <td>-75.0</td>\n",
       "      <td>-47.0</td>\n",
       "      <td>-23.0</td>\n",
       "      <td>-85.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>515</th>\n",
       "      <td>2295</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>81.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>516</th>\n",
       "      <td>2316</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>42.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517</th>\n",
       "      <td>2324</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>163.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>518</th>\n",
       "      <td>2330</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>105.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>247.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>519 rows × 213 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       id  1807   1808  1809  1810  1811  1812  1813  1814  1815  ...    \\\n",
       "0       1   0.0 -103.0 -15.0 -24.0   7.0   3.0 -45.0 -28.0 -44.0  ...     \n",
       "1       3   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "2       5   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "3       7   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "4       8   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "5       9   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "6      10   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "7      11   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "8      12   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "9      14   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "10     20   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "11     22   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "12     23   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "13     24   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "14     25   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "15     32   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "16     33   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "17     41   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "18     45   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "19     47   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "20     51   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "21     57   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "22     58   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "23     61   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "24     62   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "25     69   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "26     70   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "27     71   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "28     76   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "29     78   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "30     79   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "31     80   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "32     81   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "33     82   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "34     88   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "35     89   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "36     91   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "37     95   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "38     96   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "39     98   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "40    111   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "41    112   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "42    113   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "43    118   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "44    119   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "45    120   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "46    126   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "47    127   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "48    130   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "49    131   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "50    132   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "51    133   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "52    134   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "53    135   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "54    137   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "55    144   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "56    145   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "57    148   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "58    154   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "59    155   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "60    158   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "61    161   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "62    163   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "63    165   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "64    166   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "65    167   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "66    172   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "67    173   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "68    174   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "69    175   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "70    179   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "71    180   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "72    183   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "73    188   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "74    189   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "75    192   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "76    193   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "77    194   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "78    195   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "79    196   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "80    201   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "81    202   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "82    203   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "83    205   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "84    213   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "85    215   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "86    216   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "87    221   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "88    224   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "89    225   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "90    229   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "91    230   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "92    234   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "93    235   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "94    236   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "95    239   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "96    240   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "97    245   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "98    246   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "99    248   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "..    ...   ...    ...   ...   ...   ...   ...   ...   ...   ...  ...     \n",
       "419  1353   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "420  1354   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "421  1364   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "422  1365   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "423  1371   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "424  1386   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "425  1387   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "426  1388   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "427  1389   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "428  1390   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "429  1391   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "430  1392   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "431  1393   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "432  1394   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "433  1395   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "434  1397   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "435  1420   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "436  1421   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "437  1423   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "438  1437   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "439  1438   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "440  1440   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "441  1441   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "442  1442   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "443  1444   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "444  1445   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "445  1446   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "446  1447   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "447  1448   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "448  1449   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "449  1450   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "450  1468   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "451  1469   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "452  1473   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "453  1474   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "454  1475   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "455  1488   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "456  1489   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "457  1490   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "458  1495   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "459  1501   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "460  1505   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "461  1522   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "462  1527   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "463  1544   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "464  1545   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "465  1546   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "466  1549   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "467  1567   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "468  1568   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "469  1585   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "470  1586   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "471  1587   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "472  1588   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "473  1589   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "474  1590   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "475  1591   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "476  1592   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "477  1593   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "478  1594   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "479  1595   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "480  1597   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "481  1600   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "482  1627   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "483  1628   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "484  1629   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "485  1630   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "486  1631   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "487  1633   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "488  1634   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "489  1635   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "490  1636   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "491  1637   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "492  1638   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "493  1639   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "494  1640   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "495  1641   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "496  1643   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "497  1644   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "498  1645   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "499  1801   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "500  2021   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "501  2101   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "502  2103   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "503  2104   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "504  2105   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "505  2106   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "506  2107   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "507  2110   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "508  2111   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "509  2112   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "510  2113   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "511  2127   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "512  2215   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "513  2261   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "514  2262   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "515  2295   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "516  2316   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "517  2324   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "518  2330   NaN    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...     \n",
       "\n",
       "       2009    2010    2011    2012    2013    2014    2015    2016    2017  \\\n",
       "0     171.0   183.0   143.0   151.0   173.0   228.0   152.0   183.0   159.0   \n",
       "1     283.0     NaN     NaN     NaN     NaN     NaN   234.0     NaN   404.0   \n",
       "2     132.0   166.0   162.0   192.0   118.0   182.0   144.0   146.0   146.0   \n",
       "3     286.0   267.0   326.0   300.0   264.0   299.0   384.0   330.0     NaN   \n",
       "4     125.0   162.0   136.0   181.0   141.0   101.0   159.0   147.0   203.0   \n",
       "5     254.0   270.0   266.0   271.0   257.0   284.0   295.0   300.0   316.0   \n",
       "6     129.0   140.0   136.0   124.0   111.0   193.0   220.0   178.0   209.0   \n",
       "7     182.0   208.0   185.0   222.0   170.0   137.0   210.0   178.0   249.0   \n",
       "8     451.0   487.0   483.0   458.0   425.0   445.0   415.0   434.0   452.0   \n",
       "9    -345.0  -397.0  -247.0  -233.0  -355.0  -399.0  -190.0  -319.0  -206.0   \n",
       "10    143.0   146.0   150.0   142.0   129.0   166.0   169.0   174.0   188.0   \n",
       "11    401.0   411.0   417.0   416.0   401.0   431.0   440.0   443.0   464.0   \n",
       "12    263.0   251.0   297.0   282.0   253.0   287.0   316.0   299.0   336.0   \n",
       "13    252.0   238.0   292.0   276.0   252.0   296.0   349.0   316.0   372.0   \n",
       "14    300.0   279.0   344.0   331.0   288.0   341.0   388.0   353.0   397.0   \n",
       "15    100.0    88.0   119.0   113.0    88.0   136.0   150.0   144.0   172.0   \n",
       "16   -265.0  -353.0  -195.0  -245.0  -295.0  -271.0  -211.0  -283.0  -229.0   \n",
       "17   1034.0  1197.0  1127.0  1053.0  1147.0  1113.0  1110.0     NaN     NaN   \n",
       "18   -109.0  -182.0   -57.0  -115.0   -97.0  -125.0   -19.0  -109.0   -61.0   \n",
       "19     82.0    36.0   102.0    70.0    56.0   100.0   104.0    77.0   110.0   \n",
       "20    278.0   271.0   288.0   243.0   196.0   179.0   192.0     NaN     NaN   \n",
       "21  -1102.0 -1168.0 -1006.0 -1009.0 -1139.0 -1164.0  -967.0 -1124.0 -1012.0   \n",
       "22     90.0    44.0   114.0    84.0    62.0   102.0   120.0    80.0   124.0   \n",
       "23    204.0   333.0   183.0   178.0   188.0   246.0   161.0   174.0   135.0   \n",
       "24   -390.0  -479.0  -322.0  -372.0  -422.0  -400.0  -330.0  -402.0  -353.0   \n",
       "25   -178.0  -183.0  -118.0   -77.0  -186.0  -218.0   -65.0  -150.0   -43.0   \n",
       "26    -21.0   -23.0    26.0    66.0   -28.0   -56.0    68.0     0.0   100.0   \n",
       "27   -504.0  -550.0  -417.0  -396.0  -522.0  -560.0  -366.0  -487.0  -377.0   \n",
       "28     37.0    42.0    61.0    68.0    45.0    45.0    70.0    51.0    80.0   \n",
       "29   -439.0  -472.0  -367.0  -333.0  -467.0  -491.0  -327.0  -438.0  -329.0   \n",
       "30   -685.0  -768.0  -584.0  -602.0  -725.0  -738.0  -530.0  -713.0  -601.0   \n",
       "31    178.0   117.0   265.0   220.0   102.0    62.0   293.0   250.0   297.0   \n",
       "32    115.0   125.0   113.0   130.0   106.0    99.0   116.0   114.0   160.0   \n",
       "33     38.0   -59.0   131.0   138.0    95.0   130.0   213.0    74.0   149.0   \n",
       "34   -898.0  -970.0  -800.0  -803.0  -940.0  -958.0  -768.0  -928.0  -813.0   \n",
       "35      8.0   -50.0    56.0    19.0    -3.0   -18.0    35.0   -11.0    58.0   \n",
       "36    -45.0   -31.0   -12.0   -39.0   -64.0   -36.0     9.0   -16.0    33.0   \n",
       "37    213.0   219.0   230.0   222.0   220.0   245.0   239.0   255.0   267.0   \n",
       "38    367.0   440.0   405.0   393.0   403.0   340.0     NaN     NaN     NaN   \n",
       "39    143.0   137.0   163.0   169.0   139.0   112.0   182.0   145.0   213.0   \n",
       "40    238.0   228.0   357.0   326.0   326.0   254.0   214.0   219.0   264.0   \n",
       "41    148.0   114.0   103.0   168.0   173.0   224.0   237.0   221.0   185.0   \n",
       "42    102.0   119.0   124.0   145.0   105.0    76.0   120.0   105.0   157.0   \n",
       "43     30.0    43.0   119.0     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "44     40.0    80.0   134.0   128.0    71.0    28.0    77.0    62.0   124.0   \n",
       "45    167.0   187.0   150.0   237.0   181.0   134.0   169.0   144.0   229.0   \n",
       "46     67.0  -369.0   102.0  -407.0  -108.0    68.0  -237.0   -37.0   462.0   \n",
       "47    176.0   246.0   206.0   242.0   153.0   263.0   279.0   289.0   293.0   \n",
       "48    319.0   336.0   338.0   348.0   344.0   299.0   306.0   334.0   316.0   \n",
       "49    284.0   315.0   274.0     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "50    -81.0   -40.0  -101.0   -56.0   -51.0   -93.0   -97.0   -49.0   -56.0   \n",
       "51     27.0    35.0    38.0    72.0    26.0    43.0    34.0    83.0    41.0   \n",
       "52     80.0   112.0   107.0   148.0    99.0   124.0   106.0   156.0   108.0   \n",
       "53    423.0   428.0   496.0   417.0   386.0   408.0   368.0   396.0   421.0   \n",
       "54    355.0   -60.0   388.0  -139.0   172.0   357.0    55.0   250.0   777.0   \n",
       "55     74.0  -226.0   153.0  -279.0   -51.0    72.0  -164.0    17.0   373.0   \n",
       "56    827.0   799.0   833.0   899.0   870.0   782.0   802.0   831.0   861.0   \n",
       "57    252.0   259.0   299.0   273.0   243.0   255.0   233.0   259.0   281.0   \n",
       "58    305.0   372.0   263.0   258.0   321.0   352.0   265.0   288.0   240.0   \n",
       "59    133.0   156.0   153.0   156.0   169.0   189.0   187.0   240.0   282.0   \n",
       "60    210.0   196.0   195.0   220.0   215.0   286.0   326.0   263.0   271.0   \n",
       "61    556.0   555.0   503.0   570.0   576.0   557.0   634.0   716.0   679.0   \n",
       "62    164.0   151.0   164.0   136.0   166.0   179.0   209.0   149.0   179.0   \n",
       "63   -274.0  -212.0  -272.0  -233.0  -341.0  -225.0  -222.0  -208.0  -227.0   \n",
       "64     94.0   137.0    87.0   125.0    33.0   137.0   149.0   155.0   142.0   \n",
       "65     82.0   158.0   128.0   138.0    23.0   127.0   138.0   132.0   110.0   \n",
       "66   -564.0  -617.0  -469.0  -460.0  -591.0  -621.0  -430.0  -570.0  -462.0   \n",
       "67    -44.0   -27.0     3.0   -84.0     NaN     NaN     NaN     NaN     NaN   \n",
       "68    114.0   183.0   202.0   161.0   188.0   162.0   142.0   155.0   196.0   \n",
       "69   -103.0    -6.0   -39.0    -4.0  -104.0    -8.0     5.0     6.0    -3.0   \n",
       "70   -179.0  -240.0  -134.0  -161.0  -209.0  -188.0  -152.0  -191.0  -137.0   \n",
       "71    391.0   430.0   413.0   403.0   353.0   378.0   352.0   393.0   403.0   \n",
       "72    190.0   264.0   217.0   211.0   193.0   185.0   128.0   168.0   200.0   \n",
       "73    203.0   197.0   191.0   237.0   247.0   255.0   284.0   271.0   267.0   \n",
       "74    115.0   150.0   192.0   236.0   201.0    97.0    40.0    68.0     NaN   \n",
       "75    196.0   164.0   280.0   112.0   191.0   224.0   106.0   222.0   352.0   \n",
       "76     -3.0    68.0    33.0    66.0   -28.0    73.0    84.0    89.0    74.0   \n",
       "77   -733.0  -807.0  -629.0  -634.0  -763.0  -786.0  -589.0  -754.0  -641.0   \n",
       "78    217.0   237.0   225.0   204.0   167.0   217.0   119.0   213.0   200.0   \n",
       "79     78.0    84.0   106.0    85.0   139.0   110.0    97.0   148.0   127.0   \n",
       "80    436.0   221.0   495.0   151.0   341.0   444.0   239.0   407.0   746.0   \n",
       "81    162.0   192.0   107.0   116.0   142.0   194.0   127.0   159.0   148.0   \n",
       "82   -780.0  -849.0  -666.0  -675.0  -812.0  -826.0  -632.0  -802.0  -687.0   \n",
       "83     41.0    80.0    68.0    35.0    69.0    25.0     NaN     NaN     NaN   \n",
       "84     84.0    71.0    48.0    70.0    91.0    91.0   105.0   136.0   112.0   \n",
       "85    147.0   297.0   166.0   122.0   254.0   225.0   182.0   172.0     NaN   \n",
       "86    207.0   149.0   183.0   206.0   242.0   183.0   142.0   208.0     NaN   \n",
       "87    200.0   187.0   216.0   219.0   253.0   250.0   263.0   282.0   223.0   \n",
       "88    293.0   307.0   303.0   291.0   263.0   283.0   256.0   295.0   302.0   \n",
       "89    -65.0    -6.0   -40.0   -19.0  -119.0   -69.0   -55.0   -39.0   -61.0   \n",
       "90   -690.0  -775.0  -579.0  -599.0  -729.0  -738.0  -534.0  -717.0  -604.0   \n",
       "91    125.0    78.0   116.0   128.0   166.0    95.0    41.0   112.0     NaN   \n",
       "92    197.0   173.0   172.0   216.0   216.0   274.0   285.0   287.0   250.0   \n",
       "93    257.0   323.0   283.0   265.0   257.0   258.0   229.0   267.0   272.0   \n",
       "94    120.0   100.0   150.0   133.0   101.0   152.0   182.0   159.0   194.0   \n",
       "95   -406.0  -449.0  -311.0  -299.0  -419.0  -456.0  -265.0  -398.0  -286.0   \n",
       "96   -711.0  -794.0  -614.0  -620.0  -745.0  -759.0  -557.0  -735.0  -619.0   \n",
       "97     33.0    12.0     5.0    25.0    19.0    86.0   126.0    59.0    60.0   \n",
       "98    157.0   137.0   100.0   166.0   162.0   158.0   176.0   245.0   225.0   \n",
       "99     32.0    92.0    99.0    87.0    63.0   101.0     NaN     NaN     NaN   \n",
       "..      ...     ...     ...     ...     ...     ...     ...     ...     ...   \n",
       "419  -127.0   -60.0  -127.0   -99.0  -184.0   -99.0   -87.0   -81.0  -183.0   \n",
       "420    50.0    50.0    26.0    75.0   -38.0    40.0    45.0    90.0    75.0   \n",
       "421   171.0   189.0   149.0     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "422    71.0    78.0    68.0   113.0    92.0    92.0    98.0   138.0   102.0   \n",
       "423   134.0    31.0    49.0    97.0    95.0   181.0   216.0     NaN     NaN   \n",
       "424    43.0    64.0    51.0   101.0    69.0    74.0    62.0   108.0    59.0   \n",
       "425    93.0   125.0    93.0   145.0   153.0   117.0   109.0   159.0   146.0   \n",
       "426  -101.0  -107.0  -137.0   -77.0  -137.0  -119.0  -118.0   -77.0   -95.0   \n",
       "427    93.0   137.0    82.0   128.0   129.0   103.0    94.0   132.0   113.0   \n",
       "428   149.0   199.0   207.0   238.0   179.0   227.0   214.0   272.0   242.0   \n",
       "429   151.0   138.0   189.0   109.0    57.0   106.0   123.0   160.0   168.0   \n",
       "430   -86.0   -48.0   -57.0   -16.0  -197.0     NaN     NaN     NaN  -142.0   \n",
       "431     8.0    83.0    64.0    98.0    72.0   109.0   133.0   110.0    65.0   \n",
       "432    95.0   106.0   105.0   115.0    93.0   180.0   203.0   149.0   169.0   \n",
       "433     NaN     NaN     NaN     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "434    48.0    24.0    66.0    64.0    54.0   108.0   147.0   129.0     NaN   \n",
       "435     NaN     NaN     NaN     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "436  -175.0  -203.0  -145.0  -204.0  -239.0  -262.0  -184.0  -219.0  -247.0   \n",
       "437    61.0    73.0    94.0    71.0    87.0     NaN     NaN     NaN     NaN   \n",
       "438   117.0   139.0   153.0   179.0   178.0   118.0   153.0   176.0   170.0   \n",
       "439   128.0   169.0   164.0   187.0   191.0   136.0   174.0   201.0   192.0   \n",
       "440  -356.0   170.0   149.0    64.0  -206.0    13.0  -273.0  -123.0  -170.0   \n",
       "441    44.0   101.0   -18.0    25.0    95.0    76.0    11.0    19.0   -22.0   \n",
       "442   258.0   282.0   286.0   265.0   310.0   333.0   344.0   371.0   357.0   \n",
       "443    95.0    21.0    71.0   116.0   117.0   161.0   170.0   159.0   112.0   \n",
       "444    77.0    82.0    88.0   134.0     NaN   148.0   153.0   190.0   138.0   \n",
       "445    70.0    48.0    52.0    98.0    69.0    95.0    95.0   122.0    88.0   \n",
       "446   -82.0    23.0    -7.0    26.0    -5.0    14.0    44.0    24.0   -14.0   \n",
       "447   -45.0   -16.0     0.0    48.0   -24.0   -66.0    33.0    -6.0    79.0   \n",
       "448    28.0    29.0    47.0    55.0    73.0     NaN     NaN     NaN     NaN   \n",
       "449    12.0    68.0   -33.0     0.0    80.0   116.0   138.0   111.0     NaN   \n",
       "450   193.0   226.0   149.0   153.0   170.0   212.0   154.0   165.0    71.0   \n",
       "451   119.0   154.0    87.0    72.0    97.0   140.0    81.0    95.0    55.0   \n",
       "452    28.0     NaN     NaN     NaN     NaN    58.0   -23.0   -41.0     NaN   \n",
       "453    66.0    27.0    43.0    79.0    98.0    35.0    -4.0   -54.0     NaN   \n",
       "454    99.0    58.0    86.0    80.0   120.0     NaN     NaN     NaN     NaN   \n",
       "455  -193.0  -181.0  -178.0  -164.0  -172.0  -227.0  -185.0  -165.0  -197.0   \n",
       "456    22.0    41.0    21.0    69.0    45.0    58.0    44.0    75.0    61.0   \n",
       "457    28.0   -27.0    -1.0   102.0   120.0    85.0   132.0   151.0    81.0   \n",
       "458   101.0   114.0   106.0    98.0   128.0     NaN     NaN     NaN     NaN   \n",
       "459    61.0   144.0    58.0    70.0    59.0   130.0    86.0    36.0   122.0   \n",
       "460   188.0   234.0   184.0   193.0   196.0   221.0   165.0   351.0   322.0   \n",
       "461    61.0    29.0    14.0    64.0     2.0    29.0    53.0    71.0    78.0   \n",
       "462   131.0   141.0   128.0    88.0    84.0   141.0    93.0   112.0    -3.0   \n",
       "463    53.0    66.0   110.0   123.0   122.0   115.0   122.0   150.0   161.0   \n",
       "464   -13.0    16.0    24.0    10.0    15.0   -35.0   -37.0   -25.0   -50.0   \n",
       "465   146.0   133.0    93.0   137.0   121.0   137.0   171.0   223.0   210.0   \n",
       "466   194.0   221.0     NaN     NaN   221.0   182.0   168.0     NaN     NaN   \n",
       "467    58.0    90.0    80.0   118.0    20.0    54.0    36.0    73.0    31.0   \n",
       "468    24.0    39.0    18.0    68.0    36.0    68.0    68.0   104.0    51.0   \n",
       "469    81.0   113.0    85.0   136.0   128.0   101.0    99.0   156.0   141.0   \n",
       "470    38.0    48.0    23.0    73.0    59.0    60.0    59.0    98.0    67.0   \n",
       "471    36.0    69.0     2.0    18.0    28.0   -16.0   -25.0    -9.0   -25.0   \n",
       "472   -10.0    76.0    57.0   100.0    67.0   104.0   108.0   132.0    86.0   \n",
       "473    46.0    72.0    95.0    66.0    93.0    21.0    36.0    64.0     NaN   \n",
       "474   129.0   108.0   141.0   107.0   130.0    84.0   134.0   145.0   139.0   \n",
       "475    29.0    66.0    -5.0    50.0    65.0   -16.0     2.0    58.0     NaN   \n",
       "476  -157.0  -103.0   -91.0  -167.0  -151.0  -116.0  -121.0   -43.0     NaN   \n",
       "477   -18.0    19.0     3.0    27.0    44.0   -15.0   -42.0    19.0     NaN   \n",
       "478   -18.0    25.0    -6.0    47.0    59.0     6.0   -16.0    60.0     NaN   \n",
       "479    44.0    91.0    60.0   100.0   110.0    59.0    32.0   185.0     NaN   \n",
       "480    -1.0    77.0    67.0    15.0    23.0    18.0   -24.0    43.0    53.0   \n",
       "481    -3.0    31.0    32.0    -3.0    10.0    39.0    56.0    27.0     NaN   \n",
       "482   145.0   132.0    89.0    48.0   114.0   143.0   150.0   181.0   131.0   \n",
       "483   -23.0    33.0    32.0    68.0    21.0    39.0    34.0    64.0    18.0   \n",
       "484   134.0   206.0   191.0   162.0   180.0   171.0   146.0   169.0     NaN   \n",
       "485   193.0   241.0   188.0   190.0   210.0   204.0   187.0   198.0     NaN   \n",
       "486   173.0   214.0   277.0   247.0   268.0   173.0   126.0   156.0     NaN   \n",
       "487    31.0    99.0    53.0    91.0     1.0    99.0   110.0   116.0   104.0   \n",
       "488    57.0   113.0    54.0    74.0    30.0   155.0   162.0   231.0    72.0   \n",
       "489   156.0   168.0   150.0   163.0   136.0   172.0   134.0   180.0   142.0   \n",
       "490   159.0   175.0   130.0   152.0   127.0   152.0   121.0   167.0   163.0   \n",
       "491   165.0   168.0   177.0   152.0   121.0   128.0    75.0   124.0   141.0   \n",
       "492    73.0    67.0    61.0   119.0    99.0   113.0   156.0   158.0   132.0   \n",
       "493   137.0   185.0   145.0   174.0   126.0   242.0   256.0   231.0   242.0   \n",
       "494    44.0    89.0    34.0    83.0     1.0   120.0   124.0   116.0   104.0   \n",
       "495    70.0    47.0    23.0    68.0    92.0    73.0    97.0   147.0   108.0   \n",
       "496   202.0   183.0   204.0   192.0   229.0   221.0   241.0   264.0   230.0   \n",
       "497   139.0   133.0    88.0   178.0   156.0   150.0   128.0   122.0   130.0   \n",
       "498    92.0    51.0    71.0    92.0    68.0   157.0   244.0   126.0     NaN   \n",
       "499    96.0    96.0    30.0    45.0   125.0   169.0    98.0   106.0    70.0   \n",
       "500     NaN     NaN     NaN     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "501  -424.0  -505.0  -310.0  -328.0  -460.0  -468.0  -268.0  -446.0  -333.0   \n",
       "502  -220.0  -256.0  -147.0  -129.0  -260.0  -288.0  -118.0  -234.0  -122.0   \n",
       "503  -377.0  -394.0  -313.0  -281.0  -400.0  -411.0  -262.0  -363.0  -257.0   \n",
       "504  -154.0  -180.0   -94.0   -56.0  -150.0  -185.0   -32.0  -122.0   -36.0   \n",
       "505    -9.0   -23.0    38.0    77.0   -30.0   -58.0    86.0     5.0   109.0   \n",
       "506    31.0    46.0    63.0   115.0    21.0    -2.0    99.0    52.0   140.0   \n",
       "507    66.0    54.0   125.0   116.0    65.0    45.0   124.0    81.0   138.0   \n",
       "508  -172.0  -210.0  -112.0  -133.0  -183.0  -183.0  -108.0  -159.0  -100.0   \n",
       "509  -185.0  -239.0  -112.0  -140.0  -197.0  -174.0  -106.0  -170.0  -112.0   \n",
       "510  -136.0  -210.0   -77.0  -120.0  -164.0  -147.0   -93.0  -156.0  -101.0   \n",
       "511   -45.0    45.0   -24.0    17.0   -88.0    31.0    36.0    48.0    31.0   \n",
       "512    97.0    69.0    49.0   137.0   117.0    71.0   129.0   197.0   176.0   \n",
       "513    16.0    -7.0    46.0    18.0   -39.0   -11.0    71.0    51.0    32.0   \n",
       "514   -78.0  -165.0  -107.0   -98.0  -115.0   -75.0   -47.0   -23.0   -85.0   \n",
       "515    81.0    72.0    68.0   105.0    76.0   137.0   119.0   161.0   123.0   \n",
       "516    42.0    34.0    84.0    67.0   114.0    36.0     NaN     NaN     NaN   \n",
       "517   163.0   178.0   188.0   177.0   147.0   167.0   137.0   168.0   185.0   \n",
       "518   105.0   129.0   144.0   113.0    79.0   146.0   184.0   145.0   247.0   \n",
       "\n",
       "      2018  \n",
       "0      NaN  \n",
       "1      NaN  \n",
       "2      NaN  \n",
       "3      NaN  \n",
       "4      NaN  \n",
       "5      NaN  \n",
       "6      NaN  \n",
       "7      NaN  \n",
       "8      NaN  \n",
       "9      NaN  \n",
       "10     NaN  \n",
       "11     NaN  \n",
       "12     NaN  \n",
       "13     NaN  \n",
       "14     NaN  \n",
       "15     NaN  \n",
       "16     NaN  \n",
       "17     NaN  \n",
       "18     NaN  \n",
       "19     NaN  \n",
       "20     NaN  \n",
       "21     NaN  \n",
       "22    86.0  \n",
       "23     NaN  \n",
       "24     NaN  \n",
       "25     NaN  \n",
       "26     NaN  \n",
       "27     NaN  \n",
       "28     NaN  \n",
       "29     NaN  \n",
       "30     NaN  \n",
       "31     NaN  \n",
       "32     NaN  \n",
       "33     NaN  \n",
       "34     NaN  \n",
       "35     NaN  \n",
       "36     NaN  \n",
       "37     NaN  \n",
       "38     NaN  \n",
       "39     NaN  \n",
       "40     NaN  \n",
       "41     NaN  \n",
       "42     NaN  \n",
       "43     NaN  \n",
       "44     NaN  \n",
       "45     NaN  \n",
       "46     NaN  \n",
       "47     NaN  \n",
       "48     NaN  \n",
       "49     NaN  \n",
       "50     NaN  \n",
       "51     NaN  \n",
       "52     NaN  \n",
       "53     NaN  \n",
       "54     NaN  \n",
       "55     NaN  \n",
       "56     NaN  \n",
       "57     NaN  \n",
       "58   310.0  \n",
       "59     NaN  \n",
       "60     NaN  \n",
       "61     NaN  \n",
       "62     NaN  \n",
       "63     NaN  \n",
       "64     NaN  \n",
       "65     NaN  \n",
       "66     NaN  \n",
       "67     NaN  \n",
       "68     NaN  \n",
       "69     NaN  \n",
       "70     NaN  \n",
       "71     NaN  \n",
       "72     NaN  \n",
       "73     NaN  \n",
       "74     NaN  \n",
       "75     NaN  \n",
       "76     NaN  \n",
       "77     NaN  \n",
       "78     NaN  \n",
       "79     NaN  \n",
       "80     NaN  \n",
       "81     NaN  \n",
       "82     NaN  \n",
       "83     NaN  \n",
       "84     NaN  \n",
       "85     NaN  \n",
       "86     NaN  \n",
       "87     NaN  \n",
       "88     NaN  \n",
       "89     NaN  \n",
       "90     NaN  \n",
       "91     NaN  \n",
       "92     NaN  \n",
       "93     NaN  \n",
       "94     NaN  \n",
       "95     NaN  \n",
       "96     NaN  \n",
       "97     NaN  \n",
       "98     NaN  \n",
       "99     NaN  \n",
       "..     ...  \n",
       "419    NaN  \n",
       "420    NaN  \n",
       "421    NaN  \n",
       "422    NaN  \n",
       "423    NaN  \n",
       "424    NaN  \n",
       "425    NaN  \n",
       "426    NaN  \n",
       "427    NaN  \n",
       "428    NaN  \n",
       "429    NaN  \n",
       "430    NaN  \n",
       "431    NaN  \n",
       "432    NaN  \n",
       "433    NaN  \n",
       "434    NaN  \n",
       "435    NaN  \n",
       "436    NaN  \n",
       "437    NaN  \n",
       "438    NaN  \n",
       "439    NaN  \n",
       "440    NaN  \n",
       "441    NaN  \n",
       "442    NaN  \n",
       "443    NaN  \n",
       "444    NaN  \n",
       "445    NaN  \n",
       "446    NaN  \n",
       "447    NaN  \n",
       "448    NaN  \n",
       "449    NaN  \n",
       "450    NaN  \n",
       "451    NaN  \n",
       "452    NaN  \n",
       "453    NaN  \n",
       "454    NaN  \n",
       "455    NaN  \n",
       "456    NaN  \n",
       "457    NaN  \n",
       "458    NaN  \n",
       "459    NaN  \n",
       "460    NaN  \n",
       "461    NaN  \n",
       "462    NaN  \n",
       "463    NaN  \n",
       "464    NaN  \n",
       "465    NaN  \n",
       "466    NaN  \n",
       "467    NaN  \n",
       "468    NaN  \n",
       "469    NaN  \n",
       "470    NaN  \n",
       "471    NaN  \n",
       "472    NaN  \n",
       "473    NaN  \n",
       "474    NaN  \n",
       "475    NaN  \n",
       "476    NaN  \n",
       "477    NaN  \n",
       "478    NaN  \n",
       "479    NaN  \n",
       "480    NaN  \n",
       "481    NaN  \n",
       "482    NaN  \n",
       "483    NaN  \n",
       "484    NaN  \n",
       "485    NaN  \n",
       "486    NaN  \n",
       "487    NaN  \n",
       "488    NaN  \n",
       "489    NaN  \n",
       "490    NaN  \n",
       "491    NaN  \n",
       "492    NaN  \n",
       "493    NaN  \n",
       "494    NaN  \n",
       "495    NaN  \n",
       "496    NaN  \n",
       "497    NaN  \n",
       "498    NaN  \n",
       "499    NaN  \n",
       "500    NaN  \n",
       "501    NaN  \n",
       "502    NaN  \n",
       "503    NaN  \n",
       "504    NaN  \n",
       "505    NaN  \n",
       "506    NaN  \n",
       "507    NaN  \n",
       "508    NaN  \n",
       "509    NaN  \n",
       "510    NaN  \n",
       "511    NaN  \n",
       "512    NaN  \n",
       "513    NaN  \n",
       "514    NaN  \n",
       "515    NaN  \n",
       "516    NaN  \n",
       "517    NaN  \n",
       "518    NaN  \n",
       "\n",
       "[519 rows x 213 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tide_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>519.000000</td>\n",
       "      <td>519.000000</td>\n",
       "      <td>519.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>835.822736</td>\n",
       "      <td>32.735397</td>\n",
       "      <td>23.267773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>554.612237</td>\n",
       "      <td>34.335392</td>\n",
       "      <td>106.810492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-433.000000</td>\n",
       "      <td>-615.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>373.500000</td>\n",
       "      <td>28.736000</td>\n",
       "      <td>-70.744500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>810.000000</td>\n",
       "      <td>38.055000</td>\n",
       "      <td>16.478000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1263.500000</td>\n",
       "      <td>51.890500</td>\n",
       "      <td>128.976500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2330.000000</td>\n",
       "      <td>79.550000</td>\n",
       "      <td>743.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                id    latitude   longitude\n",
       "count   519.000000  519.000000  519.000000\n",
       "mean    835.822736   32.735397   23.267773\n",
       "std     554.612237   34.335392  106.810492\n",
       "min       1.000000 -433.000000 -615.000000\n",
       "25%     373.500000   28.736000  -70.744500\n",
       "50%     810.000000   38.055000   16.478000\n",
       "75%    1263.500000   51.890500  128.976500\n",
       "max    2330.000000   79.550000  743.000000"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Worldbank Data, Emissions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country_name</th>\n",
       "      <th>country_code</th>\n",
       "      <th>co2_emissions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>8.408363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>0.299445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>1.291328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>1.978763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>AND</td>\n",
       "      <td>5.832170</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  country_name country_code  co2_emissions\n",
       "0        Aruba          ABW       8.408363\n",
       "1  Afghanistan          AFG       0.299445\n",
       "2       Angola          AGO       1.291328\n",
       "3      Albania          ALB       1.978763\n",
       "4      Andorra          AND       5.832170"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#get the data from worldbank, Stand: 30. Oktober 2017\n",
    "\n",
    "emissions = pd.read_csv('context_data/c02_emissions_worldbank_2014.csv', usecols=[0, 1, 58])\n",
    "\n",
    "#emissions['c02_rank'] = emissions['2013'].rank(ascending=False)\n",
    "emissions.rename(columns={'Country Code': 'country_code'}, inplace=True)\n",
    "emissions.rename(columns={'Country Name': 'country_name'}, inplace=True)\n",
    "emissions.rename(columns={'2014': 'co2_emissions'}, inplace=True)\n",
    "\n",
    "#emissions.sort_values(by='c02_rank').head()\n",
    "\n",
    "emissions.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sea Level Population Data, National Population Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sealevel_pop = pd.read_csv('context_data/lecz-urban-rural-population-land-area-estimates_country-90m.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISO3v10</th>\n",
       "      <th>coastal_population2010_sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ABW</td>\n",
       "      <td>21327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AGO</td>\n",
       "      <td>651360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AIA</td>\n",
       "      <td>3848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ALB</td>\n",
       "      <td>354132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ANT</td>\n",
       "      <td>46295</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  ISO3v10  coastal_population2010_sum\n",
       "0     ABW                       21327\n",
       "1     AGO                      651360\n",
       "2     AIA                        3848\n",
       "3     ALB                      354132\n",
       "4     ANT                       46295"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sealevel_pop['ElevationZone'] = sealevel_pop['ElevationZone'].str.strip()\n",
    "sealevel_pop['ISO3v10'] = sealevel_pop['ISO3v10'].str.strip()\n",
    "pop = sealevel_pop.set_index(['ElevationZone'])\n",
    "pop = pop.loc[['Elevations Less Than or Equal To 10m']]\n",
    "\n",
    "pop = pop.reset_index()\n",
    "\n",
    "pop_low_elevation = pop.groupby(by=['ISO3v10'])['Population2010'].sum()\n",
    "pop_low_elevation = pop_low_elevation.to_frame(name = 'coastal_population2010_sum')\n",
    "pop_low_elevation = pop_low_elevation.reset_index()\n",
    "\n",
    "pop_low_elevation.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISO3v10</th>\n",
       "      <th>total_population2010_sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ABW</td>\n",
       "      <td>108141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AGO</td>\n",
       "      <td>19618432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AIA</td>\n",
       "      <td>15645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ALB</td>\n",
       "      <td>3215988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ANT</td>\n",
       "      <td>202847</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  ISO3v10  total_population2010_sum\n",
       "0     ABW                    108141\n",
       "1     AGO                  19618432\n",
       "2     AIA                     15645\n",
       "3     ALB                   3215988\n",
       "4     ANT                    202847"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pop_total = sealevel_pop.set_index(['ElevationZone'])\n",
    "pop_total = pop_total.loc[['Total National Population']]\n",
    "\n",
    "pop_total = pop_total.reset_index()\n",
    "\n",
    "pop_total = pop_total.groupby(by=['ISO3v10'])['Population2010'].sum()\n",
    "pop_total = pop_total.to_frame(name = 'total_population2010_sum')\n",
    "pop_total = pop_total.reset_index()\n",
    "\n",
    "pop_total.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sea Level PSMSL Trend Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>trend_1985_2015</th>\n",
       "      <th>_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.385</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.531</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.476</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.484</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.190</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   trend_1985_2015  _id\n",
       "0            2.385    1\n",
       "1            3.531    7\n",
       "2            1.476    8\n",
       "3            1.484    9\n",
       "4            2.190   10"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trend_1985_2015 = pd.read_csv('context_data/trends_1985_2015.csv', usecols=[4,7])\n",
    "trend_1985_2015.rename(columns={'trend': 'trend_1985_2015'}, inplace=True)\n",
    "trend_1985_2015.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        (2.158, 3.131]\n",
       "1        (3.131, 4.206]\n",
       "2        (0.555, 2.158]\n",
       "3        (0.555, 2.158]\n",
       "4        (2.158, 3.131]\n",
       "5        (0.555, 2.158]\n",
       "6        (4.206, 9.444]\n",
       "7        (2.158, 3.131]\n",
       "8      (-20.452, 0.555]\n",
       "9        (2.158, 3.131]\n",
       "10       (2.158, 3.131]\n",
       "11       (0.555, 2.158]\n",
       "12       (2.158, 3.131]\n",
       "13       (2.158, 3.131]\n",
       "14       (2.158, 3.131]\n",
       "15     (-20.452, 0.555]\n",
       "16       (4.206, 9.444]\n",
       "17     (-20.452, 0.555]\n",
       "18       (0.555, 2.158]\n",
       "19     (-20.452, 0.555]\n",
       "20       (0.555, 2.158]\n",
       "21       (3.131, 4.206]\n",
       "22     (-20.452, 0.555]\n",
       "23     (-20.452, 0.555]\n",
       "24     (-20.452, 0.555]\n",
       "25     (-20.452, 0.555]\n",
       "26       (2.158, 3.131]\n",
       "27     (-20.452, 0.555]\n",
       "28     (-20.452, 0.555]\n",
       "29       (2.158, 3.131]\n",
       "30       (0.555, 2.158]\n",
       "31       (0.555, 2.158]\n",
       "32     (-20.452, 0.555]\n",
       "33     (-20.452, 0.555]\n",
       "34     (-20.452, 0.555]\n",
       "35       (2.158, 3.131]\n",
       "36       (0.555, 2.158]\n",
       "37       (4.206, 9.444]\n",
       "38       (0.555, 2.158]\n",
       "39       (0.555, 2.158]\n",
       "40       (3.131, 4.206]\n",
       "41       (2.158, 3.131]\n",
       "42       (2.158, 3.131]\n",
       "43     (-20.452, 0.555]\n",
       "44       (2.158, 3.131]\n",
       "45       (4.206, 9.444]\n",
       "46       (4.206, 9.444]\n",
       "47       (2.158, 3.131]\n",
       "48       (2.158, 3.131]\n",
       "49       (4.206, 9.444]\n",
       "50       (4.206, 9.444]\n",
       "51     (-20.452, 0.555]\n",
       "52       (4.206, 9.444]\n",
       "53       (3.131, 4.206]\n",
       "54       (0.555, 2.158]\n",
       "55       (2.158, 3.131]\n",
       "56       (4.206, 9.444]\n",
       "57       (2.158, 3.131]\n",
       "58       (0.555, 2.158]\n",
       "59       (0.555, 2.158]\n",
       "60       (0.555, 2.158]\n",
       "61     (-20.452, 0.555]\n",
       "62       (0.555, 2.158]\n",
       "63       (4.206, 9.444]\n",
       "64     (-20.452, 0.555]\n",
       "65       (4.206, 9.444]\n",
       "66       (2.158, 3.131]\n",
       "67       (3.131, 4.206]\n",
       "68       (4.206, 9.444]\n",
       "69       (0.555, 2.158]\n",
       "70       (2.158, 3.131]\n",
       "71     (-20.452, 0.555]\n",
       "72       (0.555, 2.158]\n",
       "73       (0.555, 2.158]\n",
       "74     (-20.452, 0.555]\n",
       "75       (2.158, 3.131]\n",
       "76     (-20.452, 0.555]\n",
       "77       (4.206, 9.444]\n",
       "78       (3.131, 4.206]\n",
       "79       (3.131, 4.206]\n",
       "80       (4.206, 9.444]\n",
       "81     (-20.452, 0.555]\n",
       "82     (-20.452, 0.555]\n",
       "83       (2.158, 3.131]\n",
       "84       (3.131, 4.206]\n",
       "85       (4.206, 9.444]\n",
       "86       (2.158, 3.131]\n",
       "87     (-20.452, 0.555]\n",
       "88     (-20.452, 0.555]\n",
       "89       (2.158, 3.131]\n",
       "90       (3.131, 4.206]\n",
       "91     (-20.452, 0.555]\n",
       "92       (2.158, 3.131]\n",
       "93       (0.555, 2.158]\n",
       "94     (-20.452, 0.555]\n",
       "95     (-20.452, 0.555]\n",
       "96     (-20.452, 0.555]\n",
       "97       (4.206, 9.444]\n",
       "98       (0.555, 2.158]\n",
       "99       (0.555, 2.158]\n",
       "             ...       \n",
       "406      (4.206, 9.444]\n",
       "407      (0.555, 2.158]\n",
       "408      (3.131, 4.206]\n",
       "409      (3.131, 4.206]\n",
       "410      (0.555, 2.158]\n",
       "411      (4.206, 9.444]\n",
       "412      (2.158, 3.131]\n",
       "413      (3.131, 4.206]\n",
       "414      (2.158, 3.131]\n",
       "415      (2.158, 3.131]\n",
       "416      (0.555, 2.158]\n",
       "417      (3.131, 4.206]\n",
       "418      (4.206, 9.444]\n",
       "419      (2.158, 3.131]\n",
       "420    (-20.452, 0.555]\n",
       "421      (2.158, 3.131]\n",
       "422      (3.131, 4.206]\n",
       "423      (3.131, 4.206]\n",
       "424      (2.158, 3.131]\n",
       "425      (2.158, 3.131]\n",
       "426      (2.158, 3.131]\n",
       "427      (2.158, 3.131]\n",
       "428      (3.131, 4.206]\n",
       "429    (-20.452, 0.555]\n",
       "430      (0.555, 2.158]\n",
       "431      (3.131, 4.206]\n",
       "432      (3.131, 4.206]\n",
       "433      (3.131, 4.206]\n",
       "434      (4.206, 9.444]\n",
       "435      (0.555, 2.158]\n",
       "436      (0.555, 2.158]\n",
       "437      (4.206, 9.444]\n",
       "438      (4.206, 9.444]\n",
       "439      (4.206, 9.444]\n",
       "440      (4.206, 9.444]\n",
       "441      (0.555, 2.158]\n",
       "442      (3.131, 4.206]\n",
       "443      (0.555, 2.158]\n",
       "444      (2.158, 3.131]\n",
       "445      (4.206, 9.444]\n",
       "446      (4.206, 9.444]\n",
       "447      (2.158, 3.131]\n",
       "448      (4.206, 9.444]\n",
       "449      (3.131, 4.206]\n",
       "450      (3.131, 4.206]\n",
       "451      (2.158, 3.131]\n",
       "452      (0.555, 2.158]\n",
       "453      (2.158, 3.131]\n",
       "454      (3.131, 4.206]\n",
       "455      (0.555, 2.158]\n",
       "456      (3.131, 4.206]\n",
       "457      (3.131, 4.206]\n",
       "458      (2.158, 3.131]\n",
       "459      (4.206, 9.444]\n",
       "460      (3.131, 4.206]\n",
       "461      (3.131, 4.206]\n",
       "462    (-20.452, 0.555]\n",
       "463    (-20.452, 0.555]\n",
       "464      (4.206, 9.444]\n",
       "465      (4.206, 9.444]\n",
       "466      (3.131, 4.206]\n",
       "467    (-20.452, 0.555]\n",
       "468      (0.555, 2.158]\n",
       "469    (-20.452, 0.555]\n",
       "470      (2.158, 3.131]\n",
       "471    (-20.452, 0.555]\n",
       "472    (-20.452, 0.555]\n",
       "473      (2.158, 3.131]\n",
       "474      (4.206, 9.444]\n",
       "475      (2.158, 3.131]\n",
       "476      (0.555, 2.158]\n",
       "477      (0.555, 2.158]\n",
       "478      (3.131, 4.206]\n",
       "479      (2.158, 3.131]\n",
       "480      (4.206, 9.444]\n",
       "481      (0.555, 2.158]\n",
       "482      (2.158, 3.131]\n",
       "483      (2.158, 3.131]\n",
       "484      (2.158, 3.131]\n",
       "485    (-20.452, 0.555]\n",
       "486    (-20.452, 0.555]\n",
       "487    (-20.452, 0.555]\n",
       "488    (-20.452, 0.555]\n",
       "489    (-20.452, 0.555]\n",
       "490    (-20.452, 0.555]\n",
       "491      (0.555, 2.158]\n",
       "492      (3.131, 4.206]\n",
       "493      (2.158, 3.131]\n",
       "494      (0.555, 2.158]\n",
       "495    (-20.452, 0.555]\n",
       "496    (-20.452, 0.555]\n",
       "497    (-20.452, 0.555]\n",
       "498      (0.555, 2.158]\n",
       "499      (0.555, 2.158]\n",
       "500      (4.206, 9.444]\n",
       "501    (-20.452, 0.555]\n",
       "502      (3.131, 4.206]\n",
       "503    (-20.452, 0.555]\n",
       "504      (2.158, 3.131]\n",
       "505      (2.158, 3.131]\n",
       "Name: trend_1985_2015, Length: 506, dtype: category\n",
       "Categories (5, interval[float64]): [(-20.452, 0.555] < (0.555, 2.158] < (2.158, 3.131] < (3.131, 4.206] < (4.206, 9.444]]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.qcut(trend_1985_2015['trend_1985_2015'], 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>start_year</th>\n",
       "      <th>trend_longest</th>\n",
       "      <th>_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1807</td>\n",
       "      <td>0.97</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1811</td>\n",
       "      <td>0.80</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1968</td>\n",
       "      <td>1.73</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1843</td>\n",
       "      <td>2.12</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1849</td>\n",
       "      <td>1.42</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   start_year  trend_longest  _id\n",
       "0        1807           0.97    1\n",
       "1        1811           0.80    2\n",
       "2        1968           1.73    3\n",
       "3        1843           2.12    7\n",
       "4        1849           1.42    8"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trend_longest = pd.read_csv('context_data/trends_longest.csv', usecols=[4, 6, 12])\n",
    "trend_longest.rename(columns={'trend': 'trend_longest'}, inplace=True)\n",
    "trend_longest.rename(columns={'startYear': 'start_year'}, inplace=True)\n",
    "trend_longest.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Risk Level Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>risk_rank</th>\n",
       "      <th>Country</th>\n",
       "      <th>risk_index</th>\n",
       "      <th>risk_description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Vanuatu</td>\n",
       "      <td>36.28</td>\n",
       "      <td>very high</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Tonga</td>\n",
       "      <td>29.33</td>\n",
       "      <td>very high</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Philippines</td>\n",
       "      <td>26.70</td>\n",
       "      <td>very high</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Guatemala</td>\n",
       "      <td>19.88</td>\n",
       "      <td>very high</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>19.17</td>\n",
       "      <td>very high</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   risk_rank      Country  risk_index risk_description\n",
       "0          1      Vanuatu       36.28        very high\n",
       "1          2        Tonga       29.33        very high\n",
       "2          3  Philippines       26.70        very high\n",
       "3          4    Guatemala       19.88        very high\n",
       "4          5   Bangladesh       19.17        very high"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "riskindex = pd.read_csv('context_data/riskindex.csv', usecols=[0,1,2,3])\n",
    "riskindex.rename(columns={'Rank': 'risk_rank'}, inplace=True)\n",
    "riskindex.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create Sea Level Context Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>co2_emissions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>519.000000</td>\n",
       "      <td>519.000000</td>\n",
       "      <td>519.000000</td>\n",
       "      <td>504.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>835.822736</td>\n",
       "      <td>32.735397</td>\n",
       "      <td>23.267773</td>\n",
       "      <td>10.091185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>554.612237</td>\n",
       "      <td>34.335392</td>\n",
       "      <td>106.810492</td>\n",
       "      <td>4.651698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-433.000000</td>\n",
       "      <td>-615.000000</td>\n",
       "      <td>0.221347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>373.500000</td>\n",
       "      <td>28.736000</td>\n",
       "      <td>-70.744500</td>\n",
       "      <td>6.180337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>810.000000</td>\n",
       "      <td>38.055000</td>\n",
       "      <td>16.478000</td>\n",
       "      <td>9.538706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1263.500000</td>\n",
       "      <td>51.890500</td>\n",
       "      <td>128.976500</td>\n",
       "      <td>15.113239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2330.000000</td>\n",
       "      <td>79.550000</td>\n",
       "      <td>743.000000</td>\n",
       "      <td>16.493666</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                id    latitude   longitude  co2_emissions\n",
       "count   519.000000  519.000000  519.000000     504.000000\n",
       "mean    835.822736   32.735397   23.267773      10.091185\n",
       "std     554.612237   34.335392  106.810492       4.651698\n",
       "min       1.000000 -433.000000 -615.000000       0.221347\n",
       "25%     373.500000   28.736000  -70.744500       6.180337\n",
       "50%     810.000000   38.055000   16.478000       9.538706\n",
       "75%    1263.500000   51.890500  128.976500      15.113239\n",
       "max    2330.000000   79.550000  743.000000      16.493666"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Add emissions\n",
    "sealevel_context = stations.merge(emissions, left_on='country', right_on='country_code', how='left')\n",
    "\n",
    "sealevel_context.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "519"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Add sealevel population\n",
    "sealevel_context = sealevel_context.merge(pop_low_elevation, left_on='country', right_on='ISO3v10', how='left')\n",
    "\n",
    "sealevel_context['id'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>location</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>country</th>\n",
       "      <th>country_name</th>\n",
       "      <th>country_code</th>\n",
       "      <th>co2_emissions</th>\n",
       "      <th>ISO3v10</th>\n",
       "      <th>coastal_population2010_sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Brest</td>\n",
       "      <td>48.383</td>\n",
       "      <td>-4.495</td>\n",
       "      <td>FRA</td>\n",
       "      <td>France</td>\n",
       "      <td>FRA</td>\n",
       "      <td>4.572088</td>\n",
       "      <td>FRA</td>\n",
       "      <td>2983590.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>Sheerness</td>\n",
       "      <td>51.446</td>\n",
       "      <td>743.000</td>\n",
       "      <td>GBR</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6.497440</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6662984.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>Holyhead</td>\n",
       "      <td>53.314</td>\n",
       "      <td>-4.620</td>\n",
       "      <td>GBR</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6.497440</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6662984.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>Cuxhaven 2</td>\n",
       "      <td>53.867</td>\n",
       "      <td>8.717</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Germany</td>\n",
       "      <td>DEU</td>\n",
       "      <td>8.889370</td>\n",
       "      <td>DEU</td>\n",
       "      <td>4430201.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>Wismar 2</td>\n",
       "      <td>53.899</td>\n",
       "      <td>11.458</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Germany</td>\n",
       "      <td>DEU</td>\n",
       "      <td>8.889370</td>\n",
       "      <td>DEU</td>\n",
       "      <td>4430201.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id    location  latitude  longitude country    country_name country_code  \\\n",
       "0   1       Brest    48.383     -4.495     FRA          France          FRA   \n",
       "1   3   Sheerness    51.446    743.000     GBR  United Kingdom          GBR   \n",
       "2   5    Holyhead    53.314     -4.620     GBR  United Kingdom          GBR   \n",
       "3   7  Cuxhaven 2    53.867      8.717     DEU         Germany          DEU   \n",
       "4   8    Wismar 2    53.899     11.458     DEU         Germany          DEU   \n",
       "\n",
       "   co2_emissions ISO3v10  coastal_population2010_sum  \n",
       "0       4.572088     FRA                   2983590.0  \n",
       "1       6.497440     GBR                   6662984.0  \n",
       "2       6.497440     GBR                   6662984.0  \n",
       "3       8.889370     DEU                   4430201.0  \n",
       "4       8.889370     DEU                   4430201.0  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sealevel_context.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# clean up data (remove country code)\n",
    "\n",
    "sealevel_context = sealevel_context.drop('ISO3v10', 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Add national population\n",
    "sealevel_context = sealevel_context.merge(pop_total, left_on='country', right_on='ISO3v10', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>location</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>country</th>\n",
       "      <th>country_name</th>\n",
       "      <th>country_code</th>\n",
       "      <th>co2_emissions</th>\n",
       "      <th>coastal_population2010_sum</th>\n",
       "      <th>ISO3v10</th>\n",
       "      <th>total_population2010_sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Brest</td>\n",
       "      <td>48.383</td>\n",
       "      <td>-4.495</td>\n",
       "      <td>FRA</td>\n",
       "      <td>France</td>\n",
       "      <td>FRA</td>\n",
       "      <td>4.572088</td>\n",
       "      <td>2983590.0</td>\n",
       "      <td>FRA</td>\n",
       "      <td>63125894.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>Sheerness</td>\n",
       "      <td>51.446</td>\n",
       "      <td>743.000</td>\n",
       "      <td>GBR</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6.497440</td>\n",
       "      <td>6662984.0</td>\n",
       "      <td>GBR</td>\n",
       "      <td>62417431.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>Holyhead</td>\n",
       "      <td>53.314</td>\n",
       "      <td>-4.620</td>\n",
       "      <td>GBR</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6.497440</td>\n",
       "      <td>6662984.0</td>\n",
       "      <td>GBR</td>\n",
       "      <td>62417431.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>Cuxhaven 2</td>\n",
       "      <td>53.867</td>\n",
       "      <td>8.717</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Germany</td>\n",
       "      <td>DEU</td>\n",
       "      <td>8.889370</td>\n",
       "      <td>4430201.0</td>\n",
       "      <td>DEU</td>\n",
       "      <td>82162512.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>Wismar 2</td>\n",
       "      <td>53.899</td>\n",
       "      <td>11.458</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Germany</td>\n",
       "      <td>DEU</td>\n",
       "      <td>8.889370</td>\n",
       "      <td>4430201.0</td>\n",
       "      <td>DEU</td>\n",
       "      <td>82162512.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id    location  latitude  longitude country    country_name country_code  \\\n",
       "0   1       Brest    48.383     -4.495     FRA          France          FRA   \n",
       "1   3   Sheerness    51.446    743.000     GBR  United Kingdom          GBR   \n",
       "2   5    Holyhead    53.314     -4.620     GBR  United Kingdom          GBR   \n",
       "3   7  Cuxhaven 2    53.867      8.717     DEU         Germany          DEU   \n",
       "4   8    Wismar 2    53.899     11.458     DEU         Germany          DEU   \n",
       "\n",
       "   co2_emissions  coastal_population2010_sum ISO3v10  total_population2010_sum  \n",
       "0       4.572088                   2983590.0     FRA                63125894.0  \n",
       "1       6.497440                   6662984.0     GBR                62417431.0  \n",
       "2       6.497440                   6662984.0     GBR                62417431.0  \n",
       "3       8.889370                   4430201.0     DEU                82162512.0  \n",
       "4       8.889370                   4430201.0     DEU                82162512.0  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sealevel_context.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>location</th>\n",
       "      <th>latitude</th>\n",
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       "      <th>total_population2010_sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Brest</td>\n",
       "      <td>48.383</td>\n",
       "      <td>-4.495</td>\n",
       "      <td>FRA</td>\n",
       "      <td>France</td>\n",
       "      <td>FRA</td>\n",
       "      <td>4.572088</td>\n",
       "      <td>2983590.0</td>\n",
       "      <td>63125894.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>Sheerness</td>\n",
       "      <td>51.446</td>\n",
       "      <td>743.000</td>\n",
       "      <td>GBR</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6.497440</td>\n",
       "      <td>6662984.0</td>\n",
       "      <td>62417431.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>Holyhead</td>\n",
       "      <td>53.314</td>\n",
       "      <td>-4.620</td>\n",
       "      <td>GBR</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6.497440</td>\n",
       "      <td>6662984.0</td>\n",
       "      <td>62417431.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>Cuxhaven 2</td>\n",
       "      <td>53.867</td>\n",
       "      <td>8.717</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Germany</td>\n",
       "      <td>DEU</td>\n",
       "      <td>8.889370</td>\n",
       "      <td>4430201.0</td>\n",
       "      <td>82162512.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>Wismar 2</td>\n",
       "      <td>53.899</td>\n",
       "      <td>11.458</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Germany</td>\n",
       "      <td>DEU</td>\n",
       "      <td>8.889370</td>\n",
       "      <td>4430201.0</td>\n",
       "      <td>82162512.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id    location  latitude  longitude country    country_name country_code  \\\n",
       "0   1       Brest    48.383     -4.495     FRA          France          FRA   \n",
       "1   3   Sheerness    51.446    743.000     GBR  United Kingdom          GBR   \n",
       "2   5    Holyhead    53.314     -4.620     GBR  United Kingdom          GBR   \n",
       "3   7  Cuxhaven 2    53.867      8.717     DEU         Germany          DEU   \n",
       "4   8    Wismar 2    53.899     11.458     DEU         Germany          DEU   \n",
       "\n",
       "   co2_emissions  coastal_population2010_sum  total_population2010_sum  \n",
       "0       4.572088                   2983590.0                63125894.0  \n",
       "1       6.497440                   6662984.0                62417431.0  \n",
       "2       6.497440                   6662984.0                62417431.0  \n",
       "3       8.889370                   4430201.0                82162512.0  \n",
       "4       8.889370                   4430201.0                82162512.0  "
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# clean up data (remove country code)\n",
    "\n",
    "sealevel_context = sealevel_context.drop('ISO3v10', 1)\n",
    "#sealevel_context = sealevel_context.drop('country_name', 1)\n",
    "sealevel_context.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Add trend data for 1985 to 2015\n",
    "sealevel_context = sealevel_context.merge(trend_1985_2015, left_on='id', right_on='_id', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# clean up data (remove _id)\n",
    "sealevel_context = sealevel_context.drop('_id', 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Add longest trend\n",
    "sealevel_context = sealevel_context.merge(trend_longest, left_on='id', right_on='_id', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>location</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>country</th>\n",
       "      <th>country_name</th>\n",
       "      <th>country_code</th>\n",
       "      <th>co2_emissions</th>\n",
       "      <th>coastal_population2010_sum</th>\n",
       "      <th>total_population2010_sum</th>\n",
       "      <th>trend_1985_2015</th>\n",
       "      <th>start_year</th>\n",
       "      <th>trend_longest</th>\n",
       "      <th>_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>Brest</td>\n",
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       "      <td>-4.495</td>\n",
       "      <td>FRA</td>\n",
       "      <td>France</td>\n",
       "      <td>FRA</td>\n",
       "      <td>4.572088</td>\n",
       "      <td>2983590.0</td>\n",
       "      <td>63125894.0</td>\n",
       "      <td>2.385</td>\n",
       "      <td>1807.0</td>\n",
       "      <td>0.97</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>Sheerness</td>\n",
       "      <td>51.446</td>\n",
       "      <td>743.000</td>\n",
       "      <td>GBR</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6.497440</td>\n",
       "      <td>6662984.0</td>\n",
       "      <td>62417431.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1968.0</td>\n",
       "      <td>1.73</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>Holyhead</td>\n",
       "      <td>53.314</td>\n",
       "      <td>-4.620</td>\n",
       "      <td>GBR</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6.497440</td>\n",
       "      <td>6662984.0</td>\n",
       "      <td>62417431.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>Cuxhaven 2</td>\n",
       "      <td>53.867</td>\n",
       "      <td>8.717</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Germany</td>\n",
       "      <td>DEU</td>\n",
       "      <td>8.889370</td>\n",
       "      <td>4430201.0</td>\n",
       "      <td>82162512.0</td>\n",
       "      <td>3.531</td>\n",
       "      <td>1843.0</td>\n",
       "      <td>2.12</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>Wismar 2</td>\n",
       "      <td>53.899</td>\n",
       "      <td>11.458</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Germany</td>\n",
       "      <td>DEU</td>\n",
       "      <td>8.889370</td>\n",
       "      <td>4430201.0</td>\n",
       "      <td>82162512.0</td>\n",
       "      <td>1.476</td>\n",
       "      <td>1849.0</td>\n",
       "      <td>1.42</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id    location  latitude  longitude country    country_name country_code  \\\n",
       "0   1       Brest    48.383     -4.495     FRA          France          FRA   \n",
       "1   3   Sheerness    51.446    743.000     GBR  United Kingdom          GBR   \n",
       "2   5    Holyhead    53.314     -4.620     GBR  United Kingdom          GBR   \n",
       "3   7  Cuxhaven 2    53.867      8.717     DEU         Germany          DEU   \n",
       "4   8    Wismar 2    53.899     11.458     DEU         Germany          DEU   \n",
       "\n",
       "   co2_emissions  coastal_population2010_sum  total_population2010_sum  \\\n",
       "0       4.572088                   2983590.0                63125894.0   \n",
       "1       6.497440                   6662984.0                62417431.0   \n",
       "2       6.497440                   6662984.0                62417431.0   \n",
       "3       8.889370                   4430201.0                82162512.0   \n",
       "4       8.889370                   4430201.0                82162512.0   \n",
       "\n",
       "   trend_1985_2015  start_year  trend_longest  _id  \n",
       "0            2.385      1807.0           0.97  1.0  \n",
       "1              NaN      1968.0           1.73  3.0  \n",
       "2              NaN         NaN            NaN  NaN  \n",
       "3            3.531      1843.0           2.12  7.0  \n",
       "4            1.476      1849.0           1.42  8.0  "
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sealevel_context.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Add riskindex\n",
    "#sealevel_context = sealevel_context.merge(riskindex, left_on='country_name', right_on='Country', how='left')\n",
    "\n",
    "#sealevel_context.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#sealevel_context = sealevel_context.drop('Country', 1)\n",
    "#sealevel_context = sealevel_context.drop('country_name', 1)\n",
    "sealevel_context = sealevel_context.drop('country', 1)\n",
    "sealevel_context = sealevel_context.drop('_id', 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "      <td>-4.495</td>\n",
       "      <td>France</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>United Kingdom</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6.497440</td>\n",
       "      <td>6662984.0</td>\n",
       "      <td>62417431.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1968.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>Holyhead</td>\n",
       "      <td>53.314</td>\n",
       "      <td>-4.620</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6.497440</td>\n",
       "      <td>6662984.0</td>\n",
       "      <td>62417431.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>Cuxhaven 2</td>\n",
       "      <td>53.867</td>\n",
       "      <td>8.717</td>\n",
       "      <td>Germany</td>\n",
       "      <td>DEU</td>\n",
       "      <td>8.889370</td>\n",
       "      <td>4430201.0</td>\n",
       "      <td>82162512.0</td>\n",
       "      <td>3.531</td>\n",
       "      <td>1843.0</td>\n",
       "      <td>2.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>Wismar 2</td>\n",
       "      <td>53.899</td>\n",
       "      <td>11.458</td>\n",
       "      <td>Germany</td>\n",
       "      <td>DEU</td>\n",
       "      <td>8.889370</td>\n",
       "      <td>4430201.0</td>\n",
       "      <td>82162512.0</td>\n",
       "      <td>1.476</td>\n",
       "      <td>1849.0</td>\n",
       "      <td>1.42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id    location  latitude  longitude    country_name country_code  \\\n",
       "0   1       Brest    48.383     -4.495          France          FRA   \n",
       "1   3   Sheerness    51.446    743.000  United Kingdom          GBR   \n",
       "2   5    Holyhead    53.314     -4.620  United Kingdom          GBR   \n",
       "3   7  Cuxhaven 2    53.867      8.717         Germany          DEU   \n",
       "4   8    Wismar 2    53.899     11.458         Germany          DEU   \n",
       "\n",
       "   co2_emissions  coastal_population2010_sum  total_population2010_sum  \\\n",
       "0       4.572088                   2983590.0                63125894.0   \n",
       "1       6.497440                   6662984.0                62417431.0   \n",
       "2       6.497440                   6662984.0                62417431.0   \n",
       "3       8.889370                   4430201.0                82162512.0   \n",
       "4       8.889370                   4430201.0                82162512.0   \n",
       "\n",
       "   trend_1985_2015  start_year  trend_longest  \n",
       "0            2.385      1807.0           0.97  \n",
       "1              NaN      1968.0           1.73  \n",
       "2              NaN         NaN            NaN  \n",
       "3            3.531      1843.0           2.12  \n",
       "4            1.476      1849.0           1.42  "
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sealevel_context.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Add tide data\n",
    "\n",
    "sealevel_context = sealevel_context.merge(tide_data, left_on='id', right_on='id', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sealevel_context['co2_emissions'] = sealevel_context['co2_emissions'].round(decimals=2)\n",
    "sealevel_context['trend_1985_2015'] = sealevel_context['trend_1985_2015'].round(decimals=2)\n",
    "\n",
    "sealevel_context['trend_longest'] = sealevel_context['trend_1985_2015'].round(decimals=2)\n",
    "sealevel_context['start_year'] = sealevel_context['start_year'].astype(object)\n",
    "sealevel_context['total_population2010_sum'] = sealevel_context['total_population2010_sum'].astype(object)\n",
    "sealevel_context['coastal_population2010_sum'] = sealevel_context['coastal_population2010_sum'].astype(object)\n",
    "#sealevel_context['risk_rank'] = sealevel_context['risk_rank'].astype(object)\n",
    "#sealevel_context['c02_rank'] = sealevel_context['c02_rank'].astype(object)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>location</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>country_name</th>\n",
       "      <th>country_code</th>\n",
       "      <th>co2_emissions</th>\n",
       "      <th>coastal_population2010_sum</th>\n",
       "      <th>total_population2010_sum</th>\n",
       "      <th>trend_1985_2015</th>\n",
       "      <th>...</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Brest</td>\n",
       "      <td>48.383</td>\n",
       "      <td>-4.495</td>\n",
       "      <td>France</td>\n",
       "      <td>FRA</td>\n",
       "      <td>4.57</td>\n",
       "      <td>2.98359e+06</td>\n",
       "      <td>6.31259e+07</td>\n",
       "      <td>2.38</td>\n",
       "      <td>...</td>\n",
       "      <td>171.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>228.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>Sheerness</td>\n",
       "      <td>51.446</td>\n",
       "      <td>743.000</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6.50</td>\n",
       "      <td>6.66298e+06</td>\n",
       "      <td>6.24174e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>283.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>234.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>404.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>Holyhead</td>\n",
       "      <td>53.314</td>\n",
       "      <td>-4.620</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6.50</td>\n",
       "      <td>6.66298e+06</td>\n",
       "      <td>6.24174e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>132.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>Cuxhaven 2</td>\n",
       "      <td>53.867</td>\n",
       "      <td>8.717</td>\n",
       "      <td>Germany</td>\n",
       "      <td>DEU</td>\n",
       "      <td>8.89</td>\n",
       "      <td>4.4302e+06</td>\n",
       "      <td>8.21625e+07</td>\n",
       "      <td>3.53</td>\n",
       "      <td>...</td>\n",
       "      <td>286.0</td>\n",
       "      <td>267.0</td>\n",
       "      <td>326.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>384.0</td>\n",
       "      <td>330.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>Wismar 2</td>\n",
       "      <td>53.899</td>\n",
       "      <td>11.458</td>\n",
       "      <td>Germany</td>\n",
       "      <td>DEU</td>\n",
       "      <td>8.89</td>\n",
       "      <td>4.4302e+06</td>\n",
       "      <td>8.21625e+07</td>\n",
       "      <td>1.48</td>\n",
       "      <td>...</td>\n",
       "      <td>125.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 224 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   id    location  latitude  longitude    country_name country_code  \\\n",
       "0   1       Brest    48.383     -4.495          France          FRA   \n",
       "1   3   Sheerness    51.446    743.000  United Kingdom          GBR   \n",
       "2   5    Holyhead    53.314     -4.620  United Kingdom          GBR   \n",
       "3   7  Cuxhaven 2    53.867      8.717         Germany          DEU   \n",
       "4   8    Wismar 2    53.899     11.458         Germany          DEU   \n",
       "\n",
       "   co2_emissions coastal_population2010_sum total_population2010_sum  \\\n",
       "0           4.57                2.98359e+06              6.31259e+07   \n",
       "1           6.50                6.66298e+06              6.24174e+07   \n",
       "2           6.50                6.66298e+06              6.24174e+07   \n",
       "3           8.89                 4.4302e+06              8.21625e+07   \n",
       "4           8.89                 4.4302e+06              8.21625e+07   \n",
       "\n",
       "   trend_1985_2015  ...    2009   2010   2011   2012   2013   2014   2015  \\\n",
       "0             2.38  ...   171.0  183.0  143.0  151.0  173.0  228.0  152.0   \n",
       "1              NaN  ...   283.0    NaN    NaN    NaN    NaN    NaN  234.0   \n",
       "2              NaN  ...   132.0  166.0  162.0  192.0  118.0  182.0  144.0   \n",
       "3             3.53  ...   286.0  267.0  326.0  300.0  264.0  299.0  384.0   \n",
       "4             1.48  ...   125.0  162.0  136.0  181.0  141.0  101.0  159.0   \n",
       "\n",
       "    2016   2017  2018  \n",
       "0  183.0  159.0   NaN  \n",
       "1    NaN  404.0   NaN  \n",
       "2  146.0  146.0   NaN  \n",
       "3  330.0    NaN   NaN  \n",
       "4  147.0  203.0   NaN  \n",
       "\n",
       "[5 rows x 224 columns]"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sealevel_context.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe thead th {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>co2_emissions</th>\n",
       "      <th>trend_1985_2015</th>\n",
       "      <th>trend_longest</th>\n",
       "      <th>1807</th>\n",
       "      <th>1808</th>\n",
       "      <th>1809</th>\n",
       "      <th>1810</th>\n",
       "      <th>...</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>519.000000</td>\n",
       "      <td>519.000000</td>\n",
       "      <td>519.000000</td>\n",
       "      <td>504.000000</td>\n",
       "      <td>423.000000</td>\n",
       "      <td>423.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>511.000000</td>\n",
       "      <td>511.000000</td>\n",
       "      <td>507.000000</td>\n",
       "      <td>491.000000</td>\n",
       "      <td>485.000000</td>\n",
       "      <td>463.000000</td>\n",
       "      <td>459.000000</td>\n",
       "      <td>453.000000</td>\n",
       "      <td>407.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>835.822736</td>\n",
       "      <td>32.735397</td>\n",
       "      <td>23.267773</td>\n",
       "      <td>10.090853</td>\n",
       "      <td>2.044657</td>\n",
       "      <td>2.044657</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-103.0</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>-24.0</td>\n",
       "      <td>...</td>\n",
       "      <td>53.518591</td>\n",
       "      <td>62.150685</td>\n",
       "      <td>70.299803</td>\n",
       "      <td>72.997963</td>\n",
       "      <td>58.111340</td>\n",
       "      <td>66.736501</td>\n",
       "      <td>74.396514</td>\n",
       "      <td>79.068433</td>\n",
       "      <td>79.756757</td>\n",
       "      <td>9.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>554.612237</td>\n",
       "      <td>34.335392</td>\n",
       "      <td>106.810492</td>\n",
       "      <td>4.650489</td>\n",
       "      <td>3.327617</td>\n",
       "      <td>3.327617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>218.355204</td>\n",
       "      <td>230.642765</td>\n",
       "      <td>211.903319</td>\n",
       "      <td>214.600716</td>\n",
       "      <td>236.775219</td>\n",
       "      <td>237.922283</td>\n",
       "      <td>213.580997</td>\n",
       "      <td>232.490379</td>\n",
       "      <td>238.593616</td>\n",
       "      <td>209.919747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-433.000000</td>\n",
       "      <td>-615.000000</td>\n",
       "      <td>0.220000</td>\n",
       "      <td>-20.450000</td>\n",
       "      <td>-20.450000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-103.0</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>-24.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-1219.000000</td>\n",
       "      <td>-1183.000000</td>\n",
       "      <td>-1248.000000</td>\n",
       "      <td>-1250.000000</td>\n",
       "      <td>-1341.000000</td>\n",
       "      <td>-1287.000000</td>\n",
       "      <td>-1275.000000</td>\n",
       "      <td>-1312.000000</td>\n",
       "      <td>-1385.000000</td>\n",
       "      <td>-251.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>373.500000</td>\n",
       "      <td>28.736000</td>\n",
       "      <td>-70.744500</td>\n",
       "      <td>6.180000</td>\n",
       "      <td>0.965000</td>\n",
       "      <td>0.965000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-103.0</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>-24.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>16.500000</td>\n",
       "      <td>-5.000000</td>\n",
       "      <td>5.500000</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>-101.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>810.000000</td>\n",
       "      <td>38.055000</td>\n",
       "      <td>16.478000</td>\n",
       "      <td>9.540000</td>\n",
       "      <td>2.620000</td>\n",
       "      <td>2.620000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-103.0</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>-24.0</td>\n",
       "      <td>...</td>\n",
       "      <td>76.000000</td>\n",
       "      <td>89.000000</td>\n",
       "      <td>83.000000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>104.000000</td>\n",
       "      <td>101.000000</td>\n",
       "      <td>119.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1263.500000</td>\n",
       "      <td>51.890500</td>\n",
       "      <td>128.976500</td>\n",
       "      <td>15.110000</td>\n",
       "      <td>3.890000</td>\n",
       "      <td>3.890000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-103.0</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>-24.0</td>\n",
       "      <td>...</td>\n",
       "      <td>156.500000</td>\n",
       "      <td>171.500000</td>\n",
       "      <td>164.000000</td>\n",
       "      <td>172.500000</td>\n",
       "      <td>170.000000</td>\n",
       "      <td>180.000000</td>\n",
       "      <td>178.000000</td>\n",
       "      <td>193.000000</td>\n",
       "      <td>197.000000</td>\n",
       "      <td>86.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2330.000000</td>\n",
       "      <td>79.550000</td>\n",
       "      <td>743.000000</td>\n",
       "      <td>16.490000</td>\n",
       "      <td>9.440000</td>\n",
       "      <td>9.440000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-103.0</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>-24.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1034.000000</td>\n",
       "      <td>1197.000000</td>\n",
       "      <td>1127.000000</td>\n",
       "      <td>1053.000000</td>\n",
       "      <td>1147.000000</td>\n",
       "      <td>1113.000000</td>\n",
       "      <td>1110.000000</td>\n",
       "      <td>870.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>310.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 218 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                id    latitude   longitude  co2_emissions  trend_1985_2015  \\\n",
       "count   519.000000  519.000000  519.000000     504.000000       423.000000   \n",
       "mean    835.822736   32.735397   23.267773      10.090853         2.044657   \n",
       "std     554.612237   34.335392  106.810492       4.650489         3.327617   \n",
       "min       1.000000 -433.000000 -615.000000       0.220000       -20.450000   \n",
       "25%     373.500000   28.736000  -70.744500       6.180000         0.965000   \n",
       "50%     810.000000   38.055000   16.478000       9.540000         2.620000   \n",
       "75%    1263.500000   51.890500  128.976500      15.110000         3.890000   \n",
       "max    2330.000000   79.550000  743.000000      16.490000         9.440000   \n",
       "\n",
       "       trend_longest  1807   1808  1809  1810     ...             2009  \\\n",
       "count     423.000000   1.0    1.0   1.0   1.0     ...       511.000000   \n",
       "mean        2.044657   0.0 -103.0 -15.0 -24.0     ...        53.518591   \n",
       "std         3.327617   NaN    NaN   NaN   NaN     ...       218.355204   \n",
       "min       -20.450000   0.0 -103.0 -15.0 -24.0     ...     -1219.000000   \n",
       "25%         0.965000   0.0 -103.0 -15.0 -24.0     ...        -7.000000   \n",
       "50%         2.620000   0.0 -103.0 -15.0 -24.0     ...        76.000000   \n",
       "75%         3.890000   0.0 -103.0 -15.0 -24.0     ...       156.500000   \n",
       "max         9.440000   0.0 -103.0 -15.0 -24.0     ...      1034.000000   \n",
       "\n",
       "              2010         2011         2012         2013         2014  \\\n",
       "count   511.000000   507.000000   491.000000   485.000000   463.000000   \n",
       "mean     62.150685    70.299803    72.997963    58.111340    66.736501   \n",
       "std     230.642765   211.903319   214.600716   236.775219   237.922283   \n",
       "min   -1183.000000 -1248.000000 -1250.000000 -1341.000000 -1287.000000   \n",
       "25%       7.000000     2.000000    16.500000    -5.000000     5.500000   \n",
       "50%      89.000000    83.000000    92.000000    93.000000   104.000000   \n",
       "75%     171.500000   164.000000   172.500000   170.000000   180.000000   \n",
       "max    1197.000000  1127.000000  1053.000000  1147.000000  1113.000000   \n",
       "\n",
       "              2015         2016         2017        2018  \n",
       "count   459.000000   453.000000   407.000000    5.000000  \n",
       "mean     74.396514    79.068433    79.756757    9.400000  \n",
       "std     213.580997   232.490379   238.593616  209.919747  \n",
       "min   -1275.000000 -1312.000000 -1385.000000 -251.000000  \n",
       "25%       6.500000    12.000000     3.500000 -101.000000  \n",
       "50%     101.000000   119.000000   110.000000    3.000000  \n",
       "75%     178.000000   193.000000   197.000000   86.000000  \n",
       "max    1110.000000   870.000000   891.000000  310.000000  \n",
       "\n",
       "[8 rows x 218 columns]"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sealevel_context.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sealevel_context.to_csv('context_data/sealevel_data_download.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sealevel_context.to_csv('context_data/sealevel_context_data.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sealevel_context.to_csv('data/dataviz/sealevel_context_data.csv', index=False)"
   ]
  }
 ],
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